From 3fc5bb42b0dd94b56d0f11b1568d30a1ff835629 Mon Sep 17 00:00:00 2001 From: "jules@lens" Date: Mon, 18 Feb 2019 13:53:18 +0100 Subject: rebuild everything --- scraper/reports/doi_institutions.html | 10 +- scraper/reports/doi_institutions_geocoded.csv | 4360 ++++----- scraper/reports/doi_institutions_unknown.csv | 3114 ------- scraper/reports/doi_institutions_unknown.html | 9 +- scraper/reports/pdf_unknown_bigrams.html | 2 +- scraper/reports/pdf_unknown_terms.html | 2 +- scraper/reports/pdf_unknown_trigram.html | 2 +- scraper/reports/stats/geocoded_papers.csv | 3907 +++++++- scraper/reports/stats/unknown_papers.csv | 11874 ------------------------ 9 files changed, 5649 insertions(+), 17631 deletions(-) (limited to 'scraper/reports') diff --git a/scraper/reports/doi_institutions.html b/scraper/reports/doi_institutions.html index ed7f5dbd..a8fce90c 100644 --- a/scraper/reports/doi_institutions.html +++ b/scraper/reports/doi_institutions.html @@ -1,5 +1,5 @@ -Institutions from IEEE

Institutions from IEEE

National University of Singapore, Singapore, Singapore83
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore83
Department of Electrical and Computer Engineering, National University of Singapore, Singapore60
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China54
University of Electronic Science and Technology of China, Chengdu, China54
School of Computer Engineering, Nanyang Technological University, Singapore52
Institute of Automation, Chinese Academy of Sciences, Beijing, China47
Tsinghua University, Beijing, China47
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece43
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China41
Institute of Information Science, Beijing Jiaotong University, 100044, China39
University of Science and Technology of China, Hefei, China38
Department of Automation, Tsinghua University, Beijing, China38
Shanghai Jiao Tong University, Shanghai, China37
Peking University, Beijing, China37
Nanyang Technological University, Singapore37
Microsoft Research Asia, Beijing, China35
University of Chinese Academy of Sciences, Beijing, China35
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China33
Beijing University of Posts and Telecommunications, Beijing, China33
IIIT-Delhi, India33
Beihang University, Beijing, China33
Tianjin University, Tianjin, China30
Department of Electronic Engineering, Tsinghua University, Beijing, China30
National Taiwan University, Taipei, Taiwan Roc30
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China30
College of Computer Science and Technology, Zhejiang University, Hangzhou, China30
Nanyang Technological University, Singapore, Singapore30
Harbin Institute of Technology, Harbin, China28
National University of Singapore, Singapore28
Advanced Digital Sciences Center, Singapore28
Chinese Academy of Sciences, Beijing, China28
Zhejiang University, Hangzhou, China28
Fudan University, Shanghai, China28
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China27
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China27
Department of Information Engineering and Computer Science, University of Trento, Trento, Italy27
School of Computing, National University of Singapore, Singapore26
National Institute of Informatics, Tokyo, Japan26
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China26
Carnegie Mellon University, Pittsburgh, PA, USA26
Institute of Microelectronics, Tsinghua University, Beijing, China24
IIIT Delhi, India24
Institute of Information Science, Beijing Jiaotong University, Beijing, China24
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, China23
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China23
Northeastern University, Boston, MA, USA22
The University of Tokyo, Tokyo, Japan22
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore22
School of Control Science and Engineering, Shandong University, Jinan, China22
Wuhan University, Wuhan, China22
The University of Queensland, Brisbane, Australia22
School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China22
College of Computer Science, Zhejiang University, Hangzhou, China22
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China21
Department of Computing, Imperial College London, London, U.K.21
Hefei University of Technology, Hefei, China21
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China20
School of Computer and Information, Hefei University of Technology, Hefei, China20
South China University of Technology, Guangzhou, China20
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China20
Universität Hamburg, Hamburg, Germany19
Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, China19
School of Computer Science and Engineering, Nanyang Technological University, Singapore19
Idiap Research Institute, Martigny, Switzerland19
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA19
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China19
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China19
School of Automation, Southeast University, Nanjing, China19
Department of Automation, Shanghai Jiao Tong University, Shanghai, China19
School of Automation, Southeast University, Nanjing 210096, China18
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea18
Institute for Infocomm Research, Singapore18
Department of Computer and Information Science, University of Macau, Macau, China18
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan18
School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China18
School of Computer Science and Technology, Tianjin University, Tianjin, China18
College of Command Information Systems, PLA University of Science and Technology, Nanjing, China17
Department of Computing, The Hong Kong Polytechnic University, Hong Kong17
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China17
National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China17
Beijing Jiaotong University, Beijing, China17
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China17
Osaka University, Japan17
School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China17
University of Trento, Italy17
University of Southern California, Los Angeles, CA17
School of Computer Science and Technology, Harbin Institute of Technology, China17
Microsoft Research, Beijing, China17
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences17
Singapore Management University, Singapore, Singapore17
University of Texas at Arlington, Arlington, TX, USA17
Beijing University of Posts and Telecommunications, Beijing, 100876, China16
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China16
National Taiwan University16
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China16
School of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, South Korea16
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China16
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL USA16
Carnegie Mellon University16
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China15
School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China15
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, 430072, China15
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China15
Academia Sinica, Taipei, Taiwan Roc15
Carnegie Mellon University, USA15
School of Electrical and Electronic Engineering, Yonsei University, Seoul, 120-749, Korea15
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China15
School of Software, Tsinghua University, Beijing, China14
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiao Tong University, 200240, China14
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA14
College of Computer Science, Chongqing University, Chongqing, China14
Beijing University of Posts and Telecommunications, China14
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China14
School of Electronic Information Engineering, Tianjin University, Tianjin, China14
Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China14
Computer Science Department, Technical University of Cluj-Napoca, Romania14
Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan14
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China14
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China14
Division of System Integration and IC Design, Institute of Nano-tech and Nano-bionics, CAS, Suzhou, China14
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China14
University of Trento, Trento, Italy14
College of Computer Science, Sichuan University, Chengdu, China14
Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA14
Sun Yat-sen University, Guangzhou, China14
Beijing Normal University, China13
Peking University, Shenzhen, China13
College of Computer, National University of Defense Technology, Changsha, China13
Stanford University13
Nanjing University, Nanjing, China13
Computational Biomedicine Lab, Department of Computer Science, University of Houston, TX, USA13
University of Oslo13
State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, China13
School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China13
Institute of Automation, Chinese Academy of Sciences, China13
Xi'an Jiaotong University, Xi'an, China13
Faculty of Science and Technology, University of Macau, Macau, China13
School of Information and Communication Engineering, Dalian University of Technology, Dalian, China13
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China13
Dipartimento di Informatica, University of Verona, Italy13
School of Electronic and Information Engineering, Beihang University, Beijing, China13
University of California, Irvine13
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan, China13
Department of Telecommunication Engineering, Beijing Information Science and Technology University, China13
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China12
Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong12
The University of Tokyo, Japan12
School of Software Engineering, South China University of Technology, Guangzhou, China12
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong12
School of Computer Science and Engineering, Nanjing University of Science and Technology, China12
IIIT Delhi12
University of Minnesota, Minneapolis, MN, USA12
Department of Computer Science and Information Engineering, National Central University, Taiwan12
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China12
CAS Center for Excellence in Brain Science and Intelligence Technology; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China12
Ulm University, Ulm, Germany12
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France12
University of Texas at San Antonio, San Antonio, TX, USA12
National Engineering Research Center for Multimedia Software, Wuhan University, China12
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong12
Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates12
University of Illinois at Urbana-Champaign12
University of Tokyo, Tokyo, Japan12
Department of Computer Science, Università degli Studi di Milano, Italy12
School of Computer Science, Fudan University, Shanghai, China12
Imperial College London, UK12
School of Automation, Northwestern Polytechnical University, Xi’an, China12
Georgia Institute of Technology12
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China12
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China12
The University of Tokyo12
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China12
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, 430072, China11
National Taiwan University, Taipei, Taiwan11
Computer Science and Engineering Department, University of South Carolina, United States of America11
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou 310007, P. R. China11
National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China11
Department of Computer Science and Engineering, University of Notre Dame, USA11
College of Command Information Systems, PLA University of Science & Technology, Nanjing, China11
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA11
School of Computer, Wuhan University, Wuhan, China11
Department of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra, Portugal11
Shanghai Jiao Tong University11
Department of Computer Science, City University of Hong Kong, Hong Kong11
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, India11
Department of Computer Science, TU Darmstadt11
Indian Institute of Science, Bangalore, India11
The Chinese University of Hong Kong11
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia11
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China11
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China11
Beijing University of Posts and Telecommunications11
Institute of Automation, Chinese Academy of Sciences11
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China11
International Institute of Information Technology, Hyderabad, India11
Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore11
Dalian University of Technology11
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong11
Department of Computer Science and Engineering, Jadavpur University, Kolkata, India11
University of Amsterdam, Amsterdam, Netherlands11
CNRS-LTCI, Télécom ParisTech, Paris, France10
University of Canberra, Canberra, Australia10
Department of Scientific and Engineering Simulation, Nagoya Institute of Technology, Japan10
Department of Information Engineering and Computer Science, University of Trento, Italy10
Department of Computing, Imperial College London, London, United Kingdom10
CVIP Laboratory, University of Louisville, KY, USA10
Department of Informatics, Aristotle University of Thessaloniki, Greece10
Human Language Technology Center of Excellence, The Johns Hopkins University, Baltimore, MD, 21218, USA10
Dept. of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA10
Huazhong University of Science and Technology, Wuhan, China10
Institute of Mathmatics and Computer Science, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil10
da/sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany10
Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA10
IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China10
Graduate School of Engineering, Tottori University, Japan10
Chinese Academy of Sciences10
University of Udine, Udine, Italy10
School of Electronic Engineering, Xidian University, Xi’an, China10
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China10
National Taiwan Unversity, Taipei, Taiwan Roc10
National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China10
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China10
Google Research, Zurich, Switzerland10
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China10
EURECOM, Sophia Antipolis, France10
College of Information Engineering, Yangzhou University, Yangzhou, China10
Center for Machine Vision and Signal Analysis, University of Oulu, Finland10
Northwestern Polytechnical University, Shaanxi, China10
Beijing University of Technology, Beijing, China10
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Lyon, France10
Centre for Vision, Speech and Signal Processing, University of Surrey, UK10
School of Software, Dalian University of Technology, Dalian, China10
Chinese Academy of Sciences, Institute of Automation, Beijing, China10
Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan, R.O.C.10
Institute of Information Science, Beijing Jiaotong University, China10
MPI Informatik10
School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea10
State University of New York at Binghamton, USA10
Institute of Systems and Robotics, University of Coimbra, Portugal10
Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA10
Shanghai Jiao Tong University, China10
Nagoya Institute of Technology, Japan10
Arizona State University, Tempe, AZ, USA10
University of Florence10
University of California, Berkeley, Berkeley, CA, USA10
Department of Electronic Engineering, Shanghai Jiao Tong University, China10
University of Maryland, College Park10
Indraprastha Institute of Information Technology Delhi, New Delhi, India10
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK10
National University of Defense Technology, China10
Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Technical University of Madrid, Spain10
School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China10
Carnegie Mellon University, ForbesAvenue, Pittsburgh PA10
Kyushu University, Fukuoka, Japan10
Department of Computer Science and Technology, Tsinghua University, Beijing, China10
Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia10
University of Amsterdam, Amsterdam, The Netherlands10
School of Computer Engineering, Nanyang Technological University, Singapore, Singapore10
Communication and Information Security Lab, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University10
Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan10
Delft University of Technology, Delft, Netherlands10
School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China10
Department of Automation, University of Science and Technology of China, Hefei, China10
Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran10
Queen Mary University of London, London, United Kingdom10
Northwestern Polytechnical University, Xi'an, China10
University of Maryland, College Park, MD, USA10
University of California, San Diego10
State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China10
Department of Computer Science, State University of New York at Binghamton9
University of Udine, Italy9
Australian Centre for Field Robotics (ACFR) at the University of Sydney (NSW, Australia)9
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA9
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, 567-0047, JAPAN9
Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China9
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China9
Department of Electronics and Communication Engineering, Government of Karnataka Research Centre, Sahyadri College of Engineering and Management, Mangaluru, Karnataka, India9
National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, P. R. China9
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China9
Department of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China9
University of Notre Dame, Notre Dame, IN, USA9
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 1175769
Robotics and Microsystems Center, Soochow University, Suzhou, China9
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, France9
State Key Laboratory of Software Engineering, Wuhan University, China9
School of Information and Communication, Guilin University of Electronic Technology Guangxi Guilin, China9
School of Information and Electronics, Beijing Institute of Technology, Beijing, China9
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China9
Dept. of Computer Science and Information Engineering, National Central University, Jhongli, Taiwan9
Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland9
Beijing Normal University, Beijing, China9
National University of Ireland Galway, Galway, Ireland9
Beijing University of Posts and Telecommunications, Beijing 100876, China9
Department of Computer Engineering, Kyung Hee University, South Korea9
Department of Computer Science, New Jersey Institute of Technology9
Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, ul. Konstantynów 1H, 20-708, Poland9
School of Computer Engineering and Science, Shanghai University, Shanghai, China9
Intel China Research Center, Beijing, China9
Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China9
School of Electronic Engineering, Xidian University, Xi'an, China9
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA9
Renmin University of China, Beijing, China9
School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China9
Anhui University, Hefei, China9
School of Computer Science and Software Engineering, University of Wollongong, Australia9
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran9
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore9
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, U.K.9
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 6397989
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China9
INRIA Rhône-Alpes, Grenoble, France9
University of Texas at San Antonio, San Antonio, USA9
Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia9
Dalian University of Technology, China9
ETH Zurich, Switzerland9
Institute of Computing, University of Campinas, Campinas, Brazil9
Université Picardie Jules-Vernes, 80000 Amiens, France9
Brno University of Technology9
Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China9
Department of Computer and Information Science, University of Konstanz, Germany9
College of Computer Science and Technology, Jilin University, Changchun, China9
Queen Mary University of London, UK9
North Carolina Agricultural and Technical State University, Greensboro, NC9
Computer Vision and Pattern Recognition Laboratory, Keimyung University, Daegu, South Korea9
Indian Institute of Information Technology, Allahabad, India9
National Taiwan University of Science and Technology, Taipei, Taiwan9
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210046, China9
School of Computer Science and Engineering, Beihang University, Beijing, China9
Noblis, Falls Church, VA, U.S.A.9
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China9
Graduate School at Shenzhen, Tsinghua University, Shenzhen, China9
Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy8
P.G. Demidov Yaroslavl State University, Yaroslavl, Russia8
Center for Advanced Studies in Identity Sciences, North Carolina A & T State University, Greensboro, NC, USA8
University of Houston8
Dipartimento di Sistemi e Informatica, University of Firenze, Firenze, Italy8
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava, Bratislava, Slovakia8
School of Communication and Information Engineering, Shanghai University, 200444, China8
School of Electrical and Electronic Engineering, Nanyang Technological University, 639798 Singapore8
Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India8
School of Electronics and Information, Northwestern Polytechnical University8
School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China8
NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, China8
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China8
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China8
NICTA, PO Box 6020, St Lucia, QLD 4067, Australia8
Department of Data Science and Knowledge Engineering, Maastricht University, Maastricht, Netherlands8
Université Paris-Sud, 91405, Orsay, FRANCE8
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China8
School of Computer Science & Technology, Harbin Institute of Technology8
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China8
Keio University, Japan8
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China8
Center for Machine Vision Research, University of Oulu, Finland8
CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France8
International Centre for Wavelet Analysis and Its Applications, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 6117318
Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain8
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, P.R., 710049, China8
School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China8
Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA8
Department of Computer Science, North Carolina A&T State University, 1601 East Market St. Greensboro, 27411, USA8
Institute of Signal Processing and System Theory, University of Stuttgart, Germany8
Universidad Autonoma de Madrid8
CERTH-ITI, Thessaloniki, Greece8
Renmin University of China, China8
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0815, Japan8
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK8
Indraprastha Institute of Information Technology (IIIT), Delhi, India8
Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA8
Academia Sinica, Taipei, Taiwan8
Samsung R&D Institute, China8
Department of Automatic Control and Systems Engineering, University of Sheffield, S1 3JD, UK8
School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China8
Carnegie Mellon University, Pittsburgh, USA8
School of Information Science and Engineering, Shandong University, Jinan, China8
Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China8
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China8
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea8
Center for Research in Intelligent Systems, University of California, Riverside, USA8
Dept. Electronics and communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
Dept. Information Science Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
School of Electrical & Computer Engineering, RMIT University, Melbourne, Australia8
National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China8
School of Communication & Information Engineering, Shanghai University, China8
School of Computing, University of Portsmouth, UK8
Institute of Computer, Hangzhou Dianzi University, China8
School of Software Engineering, Tongji University, Shanghai, China8
School of Information Science and Engineering, Lanzhou University, Lanzhou, China8
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University8
School of Information Science and Engineering, Xiamen University, Xiamen, China8
Computer Vision Center, UAB, Barcelona, Spain8
Institute of Computer Science and Technology, Peking University, Beijing, P.R. China, 1008718
Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Genova - Italy8
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Türkiye8
Université de Lyon, CNRS, France8
Key Laboratory of Intelligent Computation & Signal Processing, Ministry of Education, Anhui University, Hefei, China8
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China8
School of Computer Science, Communication University of China, Beijing, China8
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China8
School of Electronics and Information Technology, Sun Yat-sen University, China8
Biometrics and Pattern Recognition Lab, School of Computing, Clemson University, Clemson, SC 29634 USA8
Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China8
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China8
The University of Melbourne8
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, USA8
Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia8
Microsoft Research8
Institute of Computer Science and Technology, Peking University, Beijing, China8
Signal & Information Processing Laboratory, Beijing University of Technology, Beijing, China8
Center for Biometrics and Security Research and the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China8
Sarnoff Corporation, Princeton, NJ, USA8
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA8
Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China8
University of Sassari, Italy8
University of Surrey, Guildford8
Department of Computer Science and Engineering, Islamic University of Technology, Gazipur-1704, Bangladesh8
Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology(BUET), Dhaka-1000, Bangladesh8
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China8
Graduate School of Electrical Engineering, University of Ulsan, 680-749, Republic of Korea8
Institute for Infocomm Research, A∗STAR, Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386328
Department of Electronic Engineering, The Chinese University of Hong Kong, China8
Tongji University, Shanghai, China8
Department of Computer Science, Hong Kong Baptist University, Hong Kong8
Department of Microelectornics and Computer Science, Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland8
College of Information Science and Engineering, Hunan University, Changsha, China8
Department of Computer Science, National Tsing Hua University, Taiwan8
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA8
Masaryk University, Brno, Czech Republic8
Sun Yat-Sen University, Guangzhou, China8
School of Electronics, Electrical Engineering and Computer Science, Queens University Belfast, BT7 1NN, UK8
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China8
Department of Information Engineering, University of Florence, Florence, Italy8
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea8
Microsoft Research, Redmond, WA, USA8
State Key Laboratory for Novel Software Technology, Nanjing University, China8
School of Computer Science and Technology, Shandong University, Jinan, China8
Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School, China8
KTH Royal Institute of Technology, Stockholm, Sweden8
Zhejiang University, HIKVISION8
Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom8
Queen Mary University of London8
Hangzhou Dianzi University, Hangzhou, China8
Fraunhofer IOSB, Ettlingen, Germany8
Mitsubishi Electric Research Laboratories, Cambridge, MA, USA8
UC Berkeley and Max-Plank-Institute for Informatics, Germany7
University of Tampere, Tampere, Finland7
CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy7
DGIST, Daegu, Republic of Korea7
Computer Science Department, University of Buenos Aires, Argentina7
North Carolina Agricultural and Technical State University, NC7
Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, P. R. China7
Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, USA7
Singapore-MIT Alliance for Research and Technology, Singapore7
Barcelona Supercomputing Center, Spain7
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, China7
Institute of Engineering & Management, Kolkata7
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University, Greensboro, USA7
Department of Computer Science, Jiangnan University, No. 1800 LiHu Avenue, WuXi, China7
University of Missouri-Columbia, USA7
GRASP Laboratory, Department of Computer Information Science, University of Pennsylvania, 3330 Walnut Street, Philadelphia, PA USA7
Sch. of Behavioral & Brain Sci., Texas Univ., Richardson, TX, USA7
School of Electrical Engineering and Computer Science, Pennsylvania State University, PA USA7
Autonomous Vehicle Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386327
Autonomous Systems Lab, ETH Zürich, Switzerland7
Department of Biomedical Engineering, Srinakharinwirot University, Ongkharak, Thailand7
Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy7
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China7
Department of Computer and Information Science, University of Macau, China7
School of Information Science and Engineering, Ocean University of Chisana, Qingdao, China7
Advanced Computer Architecture Laboratory, University of Michigan, Ann Arbor, MI 481097
University of Geneva, Geneva7
Center for Automation Research, University of Maryland, College Park, MD 207427
Haikou Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Haikou, China7
Center for Automation Research, UMIACS, University of Maryland, College Park, 20740, United States of America7
Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France7
SenseTime Research7
School of Information and Software Engineering, University of Electronic Science and Technology of China, Country Chengdu, 610054, China P.R.C7
Northwestern University7
Intelligent Systems Research Laboratory, University of Reading, United Kingdom7
National Engineering Research Center for Multimedia Software, Computer School of Wuhan University, China7
Purdue University, USA7
Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci. & Tech., Tsinghua University, Beijing, China7
Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University, Xi’an, China7
Graduate School of System Informatics, Kobe University, Kobe, 657-8501 Japan7
Digital Performance and Simulation Key Laboratory, School of Software, Beijing Institute of Technology, Beijing 100081, China7
Joint Research Institute for Signal and Image Processing, Heriot-Watt University & University of Edinburgh, UK7
NAIST7
Beihang University7
Stanford University, Stanford, CA, USA7
Australian National University, Canberra, Australia7
Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India7
College of Information Engineering, Capital Normal University, Beijing, China7
Signal & Information Processing Lab, Beijing University of Technology, Beijing, China7
University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany7
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China7
Bilgisayar Mühendisliği Bölümü, Hacettepe Üniversitesi, Ankara, Türkiye7
Samsung Advanced Institute of Technology, Korea7
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA7
Klagenfurt University, Klagenfurt, Austria7
CVIP Lab, University of Louisville, Louisville, KY, USA7
College of Computer Science, Zhejiang University of Technology, Hangzhou, China7
CyLab Biometrics Center and the Department of Electrical and Computer Engineering (ECE), Carnegie Mellon University, Pittsburgh, USA7
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece7
Center for Future Media, University of Electronic Science and Technology of China, Chengdu, China7
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China7
Microsoft, Redmond, WA, USA7
Graduate School of Electrical Engineering, University of Ulsan, Korea7
Indraprastha Institute of Information Technology Delhi, Delhi, India7
Northwestern Polytechnical University, Xi’an, China7
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan7
Department of Computer Science & Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China7
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China7
Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka7
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China7
Honda Research Institute (HRI) Europe, Carl-Legien-Str. 30, 63073 Offenbach, Germany7
Robotics Institute, Carnegie Mellon University, Pittsburgh, USA7
Xiamen University, Xiamen, China7
Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea7
College of Automation, Harbin Engineering University, Harbin, Heilongjiang Province, China7
College of Information Science and Technology, Beijing Normal University, Beijing, China7
Kyushu Institute of Technology, Iizuka, Japan7
Chonnam National University, Gwangju, South Korea7
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China7
School of Electronics and Computer Science, University of Southampton, Southampton, U.K.7
University of Pittsburgh, Pittsburgh, PA, USA7
Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA7
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj-Napoca, Romania7
Visual Computing Group, Microsoft Research, Beijing, China7
Stony Brook University, Stony Brook University, NY 11794, USA7
Machine Vision Group, University of Oulu, Finland7
School of ITEE, The University of Queensland, Australia7
Computer Vision Laboratory, ETH Zurich, Switzerland7
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China7
College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China7
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China7
School of Information Science and Technology, Xiamen University, Xiamen, China7
Computational Biomedicine Lab, University of Houston, TX, USA7
Università degli Studi di Firenze, Firenze, Italy7
University of Illinois at Urbana-Champaign, Urbana7
Institute of Neural Information Processing, Ulm University, Ulm, Germany7
University of South Florida, Tampa, FL, USA7
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia7
Queen Mary University of London, London7
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, China7
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye7
School of Information Engineering, Zhengzhou University, Zhengzhou, China7
Clemson University, Clemson, SC7
SENSE VIT University Vellore, India7
Guangdong University of Technology, Guangzhou, China7
University of Maryland, College Park, USA7
School of Data and Computer Science, Sun Yat-sen University, Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China7
College of Information Engineering, Communication University of China, Beijing, China7
University of Chinese Academy of Sciences, China7
MIT Lincoln Laboratory, 244 Wood St., Lexington, Ma. 024207
Faculty of Information Technology, Beijing University of Technology, Beijing, China7
Dept. of Comput., Hong Kong Polytech. Univ., China7
Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway7
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany7
Department of Electronics and Communication Engineering Govt. of Karnataka R&D Sahyadri College of Engineering and Management, Mangaluru 575007, India7
Department of MathematicsIntelligent Data Center, Sun Yat-sen University, Guangzhou, China7
Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China7
Grad. School of Information Science and Technology, The University of Tokyo, Japan7
University of Toronto, Toronto, Canada7
School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China7
School of Automation and Electrical Engineering, University of Science and Technology Beijing, 100083, China7
The Hong Kong Polytechnic University, Hong Kong, China7
University of Southern California7
School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing, China7
CRIPAC & NLPR, CASIA7
Image Processing Center, Beihang University, Beijing, China7
Robotics Institute, Carnegie Mellon University, USA7
International Computer Science Institute, Berkeley, CA, USA7
Centre for Research & Technology-Hellas, Thessaloniki, Greece7
Fondazione Bruno Kessler, Trento, Italy7
College of Computer Science and Technology, Huaqiao University, Xiamen, China7
Dalian University of Technology, Dalian, China7
Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA7
Faculty of Information Technology, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia7
The Chinese University of Hong Kong, Hong Kong7
East China Normal University, Shanghai, China7
University of Catania, Catania, Italy7
College of Electrical Engineering and Automation, Anhui University, Hefei, China7
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan7
School of Computer Science and Technology & Joint International Research Laboratory of Machine Learning and Neuromorphic Computing, Soochow University, Suzhou, China7
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, China7
Southeast University, China7
University of California7
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China7
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA7
Zhejiang University of Technology, Hangzhou, China7
University of Ottawa, Ottawa, ON, Canada7
Institute of Computing Technology, CAS, Beijing, China7
TCS Innovation Labs, Bangalore, India6
Yildiz Technical Univeristy, Computer Eng. Dept. İstanbul, Turkey6
PLA University of Science and Technology (PLAUST), Nanjing, China6
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia6
Institute of Computer Science, Foundation for Research and Technology—Hellas, Heraklion, Greece6
School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa6
Indian Institute of Technology (BHU) Varanasi, India6
University of Illinois at Urbana-Champaign, Urbana, IL, USA6
Institute of Information Technology, University of Dhaka, Dhaka, Bangladesh6
The University of Western Australia6
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China6
Computer Science & Technology, Zhejiang Normal University, China6
Centro de Informática, Universidade Federal de Pernambuco, Recife, PE, 50.740-560, Brazil6
Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China6
Dept. of Comput. Sci., Houston Univ., TX, USA6
SRI International Sarnoff Princeton, NJ 085406
Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil6
LIRIS(UMR CNRS 5205) Ecole Centrale de Lyon, France6
Computational Biomedicine Lab, Dept. of Computer Science, University of Houston, 4800 Calhoun Rd, Houston, TX 77004, USA6
Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, U.S.A.6
Department of Computing, Imperial College London, South Kensington Campus, London, United Kingdom6
Research School of Engineering, Australian National University, Canberra, ACT, Australia6
Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Daejeon,Republic of Korea6
University of Alicante, Alicante, Spain6
Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, Republic of Korea 151-7426
IBM Research - Haifa, Israel6
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA6
École de technologie superieure6
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19 Bratislava, Slovak Republic6
Gdańsk University of Technology, Poland6
State Key Laboratory of ASIC and System, Fudan University, Shanghai, China6
Beijing, China6
Department of Computer Science and Technology, Ocean University of China, 238 Songling Road, Qingdao, China 2661006
College of Information Science and Engineering, Northeastern University, Shenyang, 110819, PR China6
Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China6
College of Electronic and Control Engineering, Beijing University of Technology, 100124, China6
Department of Computer and Communication Systems, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia6
Department of Informatics, Knowledge Technology, University of Hamburg, Germany6
Dept. of Electrical Engineering and Comp. Sc., Northwestern University, Evanston, IL 60208, USA6
Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand6
Department of Computer Science, University of York, UK6
Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy6
University of Tsukuba, Tsukuba, Japan6
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China6
Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan6
Department of Electrical and Computer Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA6
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore6
Department of Information Science & Electronic Engineering, Zhejiang University, No.38, Zheda Road, Hangzhou 310027, P. R. China6
School of Information Science and Technology, Dalian Maritime University, Dalian, China6
Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16/II, 8010, Austria6
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi, P. R. China6
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA6
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong6
Department of Computer Science and Technology, Harbin Institute of Technology University, 518055 Shenzhen, China6
School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia6
Carnegie Mellon University, Pittsburgh, Pennsylvania United States6
Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K.6
Lincoln Centre for Autonomous Systems (L-CAS), School of Computer Science, University of Lincoln, United Kingdom6
School of Automation, Nanjing University of Post and Telecommunications, 210046, China6
University of Firenze, Firenze, Italy6
Institute of Information Science and Technologies, ISTI-CNR, Pisa Italy6
Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium6
Department of Computer Science, Southern Illinois University Carbondale, Carbondale, IL, USA6
Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Champaign, IL, USA6
Dept. of Computer Science and Engineering, St. Joseph's College of Engineering and Technology, Palai, Kerala, India6
Computer Science, U.Illinois at Urbana Champaign, Urbana, United States6
PUC-RS, Brazil6
Freie Universität Berlin, Germany6
Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China6
School of Electrical Engineering and Automation, Anhui University, China6
Department of Computer Science and Information Engineering, Tamkang University, Taiwan6
College of Information Technical Science, NanKai University, CITS, TianJin, China6
Zhejiang University, Hang Zhou, China6
Department of Computer Science and Engineering, Varendra University, Rajshahi, Bangladesh6
Visualization and Computer Vision Lab, General Electric, 1 Research Circle, Niskayuna, NY, USA6
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shannxi, P.R.China6
WINLAB, Rutgers University6
Los Alamos National Laboratory, New Mexico, USA6
School of Computing, University of South Alabama6
Institute for Building Informatics, Graz University of Technology (TU Graz), Graz, Austria6
Department of Electrical Engineering, KAIST, Daejeon, Korea6
Colorado State University, Fort Collins6
University of New South Wales, Australia6
Computer Engineering Dept., Amirkabir University, Tehran, Iran6
Speech, Audio, Image and Video Technology (SAIVT) Laboratory Queensland University of Technology, Australia6
City University of Hong Kong, Hong Kong6
School of Engineering, University of Baja California, Tijuana, México6
School of Remote Sensing and Information Engineering, Wuhan University Wuhan, China6
Thales Services, ThereSIS, Palaiseau, France6
Institute of Image Processing and Pattern Recognition Department of Automation, Shanghai Jiao Tong University, China6
School of Information Engineering, Yangzhou University, Yangzhou, China6
School of Information Science and Engineering, Xiamen University, China6
IIT Guwahati, Guwahati, India6
Dept. of E.E., Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China6
Department of Computer Science and Statistics, Rey Juan Carlos University, Madrid, Spain6
Multi-Robot Systems (MRS) Research Group, German University in Cairo, Cairo, Egypt6
Tsinghua University6
Department of Computer Science, Zhejiang Normal University Jinhua, P.R. China6
Indian Statistical Institute, Kolkata6
Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina6
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K.6
DIA, University of Trieste, Italy6
Disney Research, Pittsburgh, USA6
Computational Intelligence Research Group, Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University Newcastle, NE1 8ST, UK6
Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay6
Wuhan University, School of Electronic Information, Wuhan, 430072, China6
School of Computer Science and Technology, Soochow University, Suzhou, China6
School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China6
UC Berkeley6
CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France6
Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, P.R. China6
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, Germany6
School of Electronics and Computer Science, University of Southampton, United Kingdom6
South China University of Technology6
National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China6
University of Notre Dame6
Department of Electrical Engineering, Indian Institute of Technology Kanpur, PIN 208016, Uttar Pradesh, India6
University of Bonn, Germany6
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China6
Institute of Computer Science and Mathematics, Slovak University of Technology, Bratislava, Slovakia6
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China6
ATR Key Laboratory, National University of Defense Technology, Changsha, China6
Zhejiang University of Technology 288 Liuhe Rd. Hangzhou, P. R. China, 3100236
Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 1008716
College of Mechatronic Engineering and Automation National University of Defense Technology Changsha, Hunan, P.R.China6
Dept. of Electrical and Electronic Engineering, University of Peradeniya6
University of Verona, Department of Computer Science6
SUNY Buffalo, Buffalo, NY, USA6
School of Electronic Engineering and Computer Science, Queen Mary University of London, E1 4NS, UK6
University of Notre Dame, Notre Dame6
Dept. of Eng. Sci., Oxford Univ., UK6
New Industry Creation Hatchery Center, Tohoku University, Japan6
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China6
The Ohio State University, Columbus, OH, USA6
Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal6
SAIT India, Samsung India Software Operations Pvt. Ltd (SISO), Bangalore, India, 5600936
Universidade Federal de Campina Grande, Brazil6
SIANI-Universidad de Las Palmas de Gran Canaria, Spain6
Capital Normal University, Beijing, China6
VNU HCMC, University of Science, Ho Chi Minh City, Vietnam6
Daimler AG, Research and Development, Ulm, Germany6
Center for Vision Technologies, SRI International, Princeton, NJ 08540, USA6
University of Southern California, Los Angeles, CA, USA6
Nara Institute of Science and Technology, Japan6
Department of Computer Science and Engineering, Shiraz University, Iran6
Hong Kong Polytechnic University, Hong Kong, China6
Advanced Multimedia Research Lab, ICT Research Institute, School of Computer Science and Software Engineering, University of Wollongong, Australia6
CVIT, IIIT Hyderabad, India6
Hyung Ju Suh, a Caltech student, and Sarah Bechtle, are affiliated interns at JPL.6
Hong Kong Polytechnic University, Hong Kong, Hong Kong6
Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK6
Institute for Information and System Sciences, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China6
Harbin Institute of Technology6
Department of Computer Science, Chongqing University, Chongqing, China6
Advanced Vehicle Engineering Centre, Cranfield University, Bedford, U.K.6
Computational Vision Group, School of Systems Engineering, University of Reading, Whiteknights, RG6 6AY, UK6
Center for Behavioral Imaging, School of Interactive Computing, Georgia Institute of Technology6
School of Software, Dalian University of Technology, China 1166206
University of Ljubljana, Ljubljana, Slovenia6
Wuyi University, Jiangmen, China6
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Peking University, China6
Advanced Telecommunication Research Institute International, Kyoto, Japan6
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom6
University of Oulu, Oulu, Finland6
Department of Telecommunications and Multimedia, University of Zilina, Zilina, Slovakia6
Amity University Uttar Pradesh, Noida6
Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest, Bucharest, 061071, Romania6
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China6
School of Software, University of Technology Sydney, New South Wales, Australia6
Computer Science Department, Technion - Israel Institute of Technology, Technion City, Haifa, Israel, 320006
Télécom Lille, CRIStAL UMR (CNRS 9189), France6
IMPCA, Curtin University, Australia6
Beijing University of Posts and Telecommunications, Beijing, China, 1008766
UCL Interaction Centre, University College London, London, Unithed Kingdom6
Hong Kong University of Science and Technology, Hong Kong6
School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.6
Department of Electrical and Computer Engineering, The Johns Hopkins University Baltimore, MD, USA6
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, Singapore6
Dept. of Computer Science, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA6
UMIC Research Centre, RWTH Aachen University, Germany6
HIT Delhi, India6
Department of Mechanical Engineering, Faculty of Engineering, National University of Singapore, 117576, Singapore6
School of Information Science and Technology, Sun Yat-sen University, China6
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA6
Peking University, China6
Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA6
NC A&T State University, Greensboro, NC, USA6
Department of Electronic Engineering, Shanghai Jiao Tong University6
Institute for Infocomm Research, A*STAR, Singapore, Singapore6
University of California, Irvine, Irvine, CA, USA6
University Politehnica of Bucharest, Faculty of Electronics, Telecommunications and Information Technology, Applied Electronics and Information Engineering Department, 1-3, Iuliu Maniu Ave., Romania 0610716
School of Telecommunications Engineering, Xidian University, Xi’an, China6
Nokia Research Center, Beijing, China6
Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, GU2 7NH, USA6
Fudan University, Shang Hai, China6
The Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong6
School of Data and Computer Science, Sun Yat-Sen University, China6
Department of Computer Science, University of Calgary, Calgary, Canada6
Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China6
Electronics and Telecommunications Research Institute, Daejeon, Korea6
Columbia University, New York, NY, USA6
School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, China P.R.C6
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Ohio, USA6
Università degli Studi di Milano, Crema, IT6
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan6
Department of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China6
Centre for Intelligent Sensing, Queen Mary University of London, London, U.K.6
Bilgisayar Mühendisliği, Başkent Üniversitesi, Ankara, Türkiye6
AAU UMR CNRS 1563, Ecole Centrale de Nantes, France6
Zhengzhou University, Zhengzhou, China6
INRIA, France6
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China6
Université de Toulouse, Toulouse, France6
Adv. Technol. Application Center, Havana6
University of California San Diego, USA6
College of Communications Engineering, PLA University of Science and Technology, Nanjing, China6
CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei 230027, China6
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA6
School of Engineering, Newcastle University, UK6
Hacettepe Bilgisayarlı Görü Laboratuvarı (HUCVL), Hacettepe Üniversitesi, Turkey6
Department of Future Technologies, University of Turku, Finland6
National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China6
Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka6
Université de Technologie de Compiègne (UTC), France6
Department of Computer Science, University of British Columbia, 201-2366 Main Mall, Vancouver, B.C. V6T 1Z4, Canada6
Tongji University, No.4800 Cao’an Road, Shanghai, P. R. China6
Department of Mathematics and Computer Science, University of Marburg, Marburg, Germany6
Universidad Autonoma de Madrid, Madrid6
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa6
College of Electronics & Information Engineering, Tongji University, 201804, Shanghai, China6
Faculty of Electronic Information and Electrical Engineering, School of Information and Communication Engineering, Dalian University of Technology, Dalian, China6
Dept. of Computer Engineering and Mathematics, Rovira i Virgili University, 43007 Tarragona, Spain6
University of Barcelona, Barcelona, Spain6
Computer Institute, Federal University of Alagoas, Maceió - AL, Brazil6
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China6
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China6
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR China6
UC San Diego6
CReATe Fertility Centre, Toronto, Canada6
University of Toronto, Advanced Micro and Nanosystems Laboratory, Toronto, Canada6
Pattern Recognition and Intelligent System Laboratory, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China6
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan6
Department of Electronic Systems, Aalborg University, Denmark6
Nanjing University of Aeronautics and Astronautics, Nanjing, China6
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore 6397986
Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong6
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China6
College of Automation, Nanjing University of Posts and Telecommunications, 210046, China6
Computer Vision, Video and Image Processing (CvviP) Research Lab, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia6
National Taiwan University of Science and Technology6
TU Darmstadt, Darmstadt, Germany6
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China6
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, INDIA6
Sharif University of Technology6
School of Computer and Control Engineering, University of Chinese Academy of Sciences, China6
Max Planck Institute for Informatics, Saarbrücken, Germany6
Vision Lab at Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA6
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China6
KAIST, Daejeon, Korea6
State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China6
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China6
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China6
Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Türkiye6
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong6
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, U.S.A.6
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China6
School of Computer Science and Technology, Xidian University, Xian, China5
Institute of Artificial Intelligence & Robotics, Xi'an Jiaotong University, China5
Electrical and Electronics Department, Polytechnic of Bari, Via E. Orabona, 4, 70125, Italy5
Department of Electrical and Electronic Engineering, University of Bristol, Bristol, United Kingdom, BS8 1UB5
Université de Lyon, CNRS, INSA-Lyon, LIRIS, France5
University of Southern California Institute for Creative Technologies, Los Angeles, CA5
Active Vision Group, University of Koblenz-Landau, Universitätsstr. 1, 56070, Germany5
Image and Video Laboratory, Queensland University of Technology, Australia5
DFKI GmbH, Kaiserslautern, Germany5
Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Av. Ipiranga, 6681, 90619-900, Porto Alegre, RS, Brazil5
School of Electronics and Information Engineering, Beijing Jiaotong University, China, 1000445
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, China5
Illinois Institute of Technology5
Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile5
Clemson University, Clemson, SC, USA5
School of Mechanical Engineering & Automation, Beihang University, Beijing, China5
National Technical University of Athens, Greece5
Computational Biomedicine Lab, Department of Computer Science, University of Houston, TX 77004, USA5
Escola Politécnica, Pontifícia Universidade Católica do Rio, Grande do Sul5
Telecommun. & Ind. Phys., CSIRO, Epping, NSW, Australia5
Integrated Media Systems Center, University of Southern California, Los Angeles, CA 90089, USA5
National Engineering Laboratory for Video Technology, School of Electronics Engineering and Computer Science, Peking University, Beijing, China5
Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), South Korea5
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences5
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Shaanxi, China5
School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea5
VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy5
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco - Brazil5
Dept. of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh5
Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba, 278-8510, Japan5
Biometrics and Data Pattern Analytics (BiDA) Lab, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Spain5
CNR IFC-Institute of Clinical Physiology, Pisa, Italy5
Institute for Human-Machine Communication, Technische Univerität München, Arcisstr. 3, 80333 Munich, Germany5
College of Information Engineering China Jiliang University, HangZhou, China 3100185
Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China5
Lawrence Livermore National Laboratory, Livermore, CA5
Computer Science Department, Bina Nusantara University, Jakarta, Indonesia5
Securics, Inc, USA5
C.d.L. Scienze dell'Informazione - Università di Bologna, via Sacchi 3, 47023 Cesena, ITALY5
Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan5
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, 100872, China5
Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines5
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, China5
Norwegian Biometrics Laboratory, Gj⊘vik University College, 2802 Gj⊘vik, Norway5
College of Computer and Information Technology, Institute of Intelligent Vision and Image Information, China Three Gorges University, Yichang, Hubei Province, 443002, China5
University of Athens, Athens, Greece5
School of Electronic Information, Wuhan University, Wuhan, China5
Automotive Processor, Texas Instruments Incorporated, Bangalore, India5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan5
School of Control Science and Engineering, Shandong University, Jinan 250061, P. R. China5
Inst. Nat. des Telecommun., Evry, France5
College of Information Engineering China Jiliang University, 310018, Hangzhou, Zhejiang, China5
State Key Laboratory of Software Development Environment, Beihang University, P.R. China5
Shenzhen Key Lab of Advanced Telecommunication and Information Processing, College of Information Engineering, Shenzhen University5
Centro de Visión Por Computador-Edificio O, Universidad Autónoma de Barcelona, Bellaterra, Spain5
Simula Research Laboratory & University of Oslo, Oslo, Norway5
KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan5
Toyota Central R&D Labs., Inc., Nagakute, Japan5
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava5
College of Information Engineering, China Jiliang University, CJLU Hangzhou, China5
Visionlab, Heriot-Watt University, Edinburgh, UK5
Duke University5
National Chiao Tung University, Department of Computer Science, Hsinchu, Taiwan, R.O.C.5
Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, 4007145
School of Electrical Engineering, Korea University, Anam-dong, Sungbuk-gu, Seoul, 136-713, Rep. of Korea5
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida 328165
State Key Laboratory of Software Engineering, Collaborative Innovation Center of Geospatial Technology, National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China5
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai 200240, China5
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA5
Institute of Digital Media, Peking University, Beijing, China5
Northwestern Polytechnical University, Xi'an Shaanxi, China5
CASIS at the Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27411, USA5
Department of Information Technology, National Institute of Technology, Karnataka, Surathkal5
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Minas Gerais, Brazil5
CVIT, IIITH, India5
Department of Automation, State Key Lab of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China5
Department of Information Science and Engineering, Ritsumeikan University, Shiga, Japan5
The Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China5
Princeton University, Princeton, NJ, USA5
University of Science and Technology of China5
Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China5
Centre for Machine Vision Research, University of Oulu, Finland5
Gwangju Institute of Science and Technology5
Information Research Institute, Shandong Academy of Sciences, No 19 Keyuan Road, Jinan, 250014, China5
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, Stuttgart, Germany5
Institute of Information Technology, University of Dhaka5
School of Engineering and Built Environment, Glasgow Caledonian University, Scotland, United Kingdom5
GREYC Laboratory, ENSICAEN - University of Caen - CNRS, 6 Boulevard Maréchal Juin, 14000, France5
State Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou, P.R. China5
IIIT-Delhi5
School of Information Science and Technology, NorthWest University Xi'an, China5
School of Electrical and Automation Engineering, Shanghai University, Shanghai, 200072 China5
School of Electrical and Electronic Engineering, Nanyang Technological University5
Department of Electronic Engineering, Tsinghua University, Beijing, P.R.China5
School of Computer Science, University of Manchester5
Federal University of Rio de Janeiro, Cx.P. 68504, CEP 21945-970, Brazil5
University of Macau, Macau, China5
Beijing University of Posts and Telecommunications, Beijing, P.R. China5
Lancaster University, UK5
College of Information Science and Technology, Beijing Normal University, China5
Department of Computer Science and Engineering, University of Moratuwa, Sri Lanka5
Waseda University, Tokyo, Japan5
Department of Computer Science, New Jersey Institute of Technology, Newark, USA5
Graduate School of Information, Production and System, Waseda University, Kitakyushu, Japan5
University of Southern California, Los Angeles, California, USA5
CBSR&NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada5
Department of Electronic Engineering Tsinghua University, Beijing, China, 1000845
Computer Technology Department, University of Alicante, Spain5
Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, GA, USA5
Slovak University of Technology in Bratislava, Faculty of Informatics and Information Technologies, Ilkovičova 2, 842 16, Slovak Republic5
Huazhong University of Science and Technology, China5
Institute of Industrial Information Technology (IIIT), Karlsruhe Institute of Technology (KIT), 76187 Karlsruhe, Germany5
School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China5
School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian, 116024, China5
CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China5
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences5
Daimler AG, R&D, Böblingen, Germany5
Image Formation and Processing (IFP) Group, University of Illinois at Urbana-Champaign5
GI-IATa, Centro de Investigación, Desarrollo e Innovación en Ingeniería, Universidad Politécnica Salesiana, Cuenca-Ecuador5
Dept. of Computer Science, Faculty of Science Chouaib Doukkali University, El Jadida, Morocco5
School of Biomedical Engineering, Shenzhen University, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, China5
Department of Information Technology, Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur, India5
IBM Research, USA5
Surrey Univ., Guildford, UK5
DeepInsight@PCALab, Nanjing University of Science and Technology5
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China5
School of Control Science and Engineering, Shandong University5
Machine Vision Laboratory, University of the West of England, Bristol, UK5
Leibniz Universität Hannover, Institute of Microelectronic Systems, 30167 Hanover, Germany5
University of Manchester, Manchester5
IBM T. J. Watson Research Center, USA5
Department of Computer Science, University of Calgary, Calgary, Alberta5
Faculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano 380-8553, Japan5
Key Laboratory of Sensor Networks and Environmental Sensing, Hohai University, Changzhou, China5
University of Illinois at Urbana-Champaign, 1308 W. Main st. 61801, USA5
Department of Electronics, University of Alcalá (UAH), Alcalá de Henares, Madrid, Spain5
School of Data and Computer Science, Sun Yat-Sen University5
Zhejiang University, College of Computer Science, Hangzhou, Zhejiang, 310058, China5
College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China5
LUNAM Université, LIUM, Le Mans, France5
Department of Computing, Imperial College London, UK5
Department of Computer Science and Engineering, University of Electronic Science and Technology, Sichuan, China5
Universite de Techonologie de Compiegne, Sorbonne Universites, Compiegne, France5
Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA5
Software Institute, Jilin University5
Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong University, Shanghai, China Shanghai Key Laboratory of Digital Media Processing and Transmissions5
School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, China5
Department of Electrical Engineering, University of Washington, Seattle, WA, USA5
Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China5
School of Computer Science and Engineering, Southeast University, Nanjing, China5
School of Automation, Beijing Institute of Technology, 100081, China5
College of Information Science and Technology, Beijing Normal University, Beijing, P.R. China5
University of California, Riverside, CA, USA5
Department of Mathematics and Computer Science, University of Udine, Udine, Italy5
School of Computer Science and Technology and Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, China5
Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand5
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, 328165
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing, 100876, China5
Visea İnovatif Bilgi Teknolojileri, ETGB Teknoparkı, Eskişehir, Türkiye5
University of Southern California, USA5
Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China5
Centre for Autonomous and Cyber-Physical Systems, School of Aerospace, Transport and Manufacturing, Cranfield University, MK430AL, UK5
School of Computer and Information, Hefei University of Technology, Hefei 230009, China5
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China5
University of Bologna, Department of Computer Science and Engineering (DISI), Viale del Risorgimento 2, Bologna, Italy5
Graduate School of Informatics, Nagoya University, Japan5
University of Illinois at Urbana Champaign5
Department of Electronics and Telecommunication Engineering, Don Bosco Institute of Technology, Kurla (W), Mumbai, India5
Deptartment of Computer Science & Engineering, University of South Florida, Tampa, 33620, United States of America5
School of Information Engineering, Nanchang Institute of Technology, Nanchang, China5
Department of CSE, National Institute of Technology, Rourkela, India, 7690085
School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, 611731, China5
Department of Computer Science, Xiamen University, Xiamen, P. R. China5
Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing, China5
Xi'an University of Technology, Xi'an, 710048, P. R. China5
Department of Electronic Engineering, The Chinese University of Hong Kong5
Soochow University, Suzhou, China5
University of Brescia, Department of Mechanical and Industrial Engineering, Via Branze 38 Brescia, Italy5
School of Electrical Engineering Department, Korea University, Rep. of Korea5
Knowledge Technology Institute, Department of Informatics, University of Hamburg, Hamburg, Germany5
Department of Computer Science, Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia5
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiaotong University5
Shanghai Jiao Tong University, School of Aeronautics and Astronautics, Shanghai, China5
Technische Universität München, Munich, Germany5
School of Automatic, Nanjing University of Posts and Telecommunications, Nanjing, 2100465
Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea5
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China5
Toyota Research Institute5
Southern Illinois University at Carbondale, IL, USA5
Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan5
Lab of Pattern Recognition & Information Security, Hangzhou Dianzi University, 310018, China5
Frontier Research Group, Samsung India Software Operations, India5
School of Information Science and Engineering, Changzhou University, Changzhou, China5
Centre for Artificial Intelligence, University of Technology Sydney, Ultimo, NSW, Australia5
Image and Video System Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-Gu, Daejeon, 305-701, Korea5
National Engineering Research Center on Multimedia Software, Wuhan University, Wuhan 430072, China5
School of Electronic Engineering and Computer Science, Queen Mary University of London, UK5
Cornell University, USA5
Department of Electrical and Computer Engineering Texas A&M University College Station, TX 778435
Inria Paris, Paris, France5
College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China5
ISTI-CNR, Pisa, Italy5
Institute of Artificial Intelligence and Cognitive Engineering, University of Groningen, The Netherlands5
IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120, USA5
School of Automation, Nanjing University of Posts and Telecommunications, 210003, China5
Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France5
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China, 1001905
Institute for Microsensors, Actuators and Systems, University of Bremen, Bremen, Germany5
Department of Information and Communication Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan5
University of Applied Sciences Aschaffenburg, Germany5
Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan5
Hyundai Motor Company, Gyeonggi-do in South Korea5
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Science, Beijing, 100190, China5
Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland5
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, P.R. China5
National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China5
Automation and Systems Research Institute, Seoul National University, Seoul, South Korea5
School of Computing, University of Eastern Finland, Joensuu, Finland5
Department of Automation, University of Science and Technology of China5
University of Ontario Institute of Technology, Simcoe St N, Canada5
BMW Group Technology Office5
Institute of Digital Media Peking University, Beijing, China5
University of Texas at Arlington, Arlington5
Department of Computer Science and Engineering, Shanghai Jiao Tong University, China5
Pakistan Navy Engineering College, Karachi National University of Science and Technology, Islamabad Pakistan5
The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China5
Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Center for Learning Science, Southeast University, Nanjing, China5
College of Information Science and Engineering, Northeastern University, Shenyang, 1100045
Computer Laboratory, University of Cambridge, UK5
University of Trento, Italy, Via Sommarive, Trento (Italy)5
Binhai Industrial Technology Research Institute of Zhejiang University, Zhejiang University, Hangzhou, China5
Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan, ROC5
Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 021155
College of Computer Science and Technology, Beijing University of Technology, China5
College of Electronic Science and Engineering, National University of Defense Technology, Hunan, China5
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), 08028, Barcelona, Spain5
VIPS Laboratory, School of Electronic Engineering, Xidian University, Xi'an, China5
Faculty of Engineering, Multimedia University, Cyberjaya, Selangor, Malaysia5
Department of Electronic and Computer Engineering, Brunel University London, UK5
Electrical Engineering, Korea University, Seoul 136-713, Republic of Korea5
School of Computer and Information Engineering, Henan University, Kaifeng, China5
School of Electronics and Telecommunications, Hanoi University or Science and Technology, Vietnam5
Universitat Politècnica de Catalunya5
Department of Computer Science, University of Maryland, College Park, MD 207425
School of Automation Science and EngineeringSouth China University of Technology5
Shenyang Institute of Automation, CAS, Shenyang, 110016, China5
Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States5
Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, Dijon, France5
School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand5
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor5
Computer Vision and Pattern Recognition Laboratory (CVPRL), Indian Institute of Technology Ropar, Rupnagar-140001, Punjab, India5
University of Science and Technology of China, Hefei, Anhui, China5
Siqura B.V., Gouda, The Netherlands5
Tsinghua National Laboratory for Information Science and Technology Institute of Microelectronics, Tsinghua University, Beijing, China5
LITIS laboratory, INSA de ROUEN - Université de Rouen IRSEEM, ESIGELEC5
Shenzhen, China5
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China5
Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy5
Computer Vision Lab - Syed Babar Ali School of Science & Engineering Lahore University of Management Sciences5
School of Computer Science and Engineering,, Nanjing University of Science and Technology, Nanjing, China5
Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain5
School of Automation, Beijing Institute of Technology, Beijing 100081, China5
Graduate School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea5
ERAU 3700 Willow Creek Rd Prescott, AZ 863145
University of Freiburg, Germany5
University of Southampton5
School of Computer Science, Nanjing University of Science and Technology, Nanjing, China5
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran5
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University5
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University5
School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, 200240, China5
Department of Computer Science, Rutgers University, Piscataway, NJ, USA5
School of Information Technologies, The University of Sydney, Australia5
The authors are with the Department of Teleinformatics Engineering,Federal University of Ceará C.P. 6007, CEP: 60555-760,Fortaleza-CE, Brazil5
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye5
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, China5
Cornell University5
Department of Computing, The Hong Kong Polytechnic University, China5
School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China5
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China5
European Commission, Joint Research Centre (JRC), Institute for Transuranium Elements (ITU), Via Enrico Fermi 2749, Ispra (VA), Italy5
Beijing Technology and Business University, Beijing, China5
Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, 302017, India5
University of Southern California, Los Angeles, USA5
Department of Computer Science Engineering, Jaypee Institute of Information Technology, Noida, India5
Centro de Investigación en Informática para la Ingeniería (CIII) Universidad Tecnológica Nacional, Facultad Regional Córdoba, Maestro Lopez esq. Cruz Roja Argentina, Córdoba Argentina5
INESC-ID, IST, Universidade de Lisboa, Rua Alves Redol 9, 1000-029 Lisbon, Portugal5
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China5
Center for Machine Vision Research, University of Oulu5
SKLOIS, IIE, CAS, Beijing, China5
Department of Computer Science, CAMP, Technische Universität München (TUM), Germany5
Technion - Israel Institute of Technology5
Department of Information and communication engineering, INHA University Computer Vision Laboratory, Incheon, South Korea5
Hebrew University of Jerusalem, Jerusalem, Israel5
Kulliyyah of Information & Communication Technology, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia5
Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang-si, South Korea5
University of California Irvine, CA5
Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China5
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences5
School of Information Science and Engineering, Shandong Normal University, Jinan, China5
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 152135
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA5
Computer Vision Group, Friedrich Schiller University Jena, Germany5
National University of Defense Technology, Changsha, China5
University of Amsterdam, The Netherlands5
Department of Computer Science and Engineering, University of Minnesota, Twin Cities, USA5
Centre of Development of Advanced Computing (CDAC) Mumbai, 400049, India5
School of Information Science and Engineering, Central South University, Changsha, 410083, China5
Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan5
School of Computing, National University of Singapore, Singapore, Singapore5
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China5
College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications, China5
Sun Yat-sen University, Guangzhou5
School of Computer Science and Engineering, Nanjing University of Science and Technology5
Department of Signal Processing, Tampere University of Technology, Tampere, Finland5
Faculty of Information Technology, College of Information and Communication Technology, Thai Nguyen University, Vietnam5
Image and Video Systems Lab, School of Electrical Engineering, KAIST, Republic of Korea5
College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China5
Department of Computing, Imperial College London, London, UK5
Department of Computer Science, State University of New York at Binghamton, USA5
Faculty of Science and Technology, Tokyo University of Science, Chiba, Japan5
University of Tsukuba5
School of Communication and Information Engineering, Shanghai University, Shanghai, China5
The LNM Institute of Information Technology, Jaipur, India5
University at Albany, State University of New York, USA5
IBM China Research Laboratory, Beijing, China5
SIAT at Chinese Academy of Sciences, China5
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Haidian District, Beijing, China5
Lawrence Berkeley National Laboratory, Berkeley, USA5
Department of Electrical and Computer Engineering, Biometric Technologies Laboratory, University of Calgary, Calgary, AB, Canada5
State Key Laboratory of Software Development Environment, Beihang University, Beijing, China5
Technical University of Cluj-Napoca, Computer Science Department, Romania5
Imperial College London, London, United Kingdom5
Northeastern University, Shenyang, China5
Technical University of Cluj-Napoca, Department of Communication, C. Daicoviciu 15, Cluj-Napoca, Romania5
Ocean University of China, Department of Educational Technology, Qingdao, China5
South China University of Technology, Guangzhou, 510641, China5
Department of Computer Science, Technical University of Cluj-Napoca, Romania5
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea5
School of Information Technology and Electrical Engineering, The University of Queensland, Australia5
Graduate School of Electrical and Computer Engineering, University of Ulsan, Ulsan 680-749, Korea5
University of California, Merced5
College of Information Engineering China Jiliang University, Hangzhou, China 3100185
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Center for Research on Intelligent Perception and Computing, CASIA5
Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA5
Yonsei University, Seoul, South Korea5
Department of Computing, Imperial College London, London, Unithed Kingdom5
International Computer Institute, Ege University, Izmir, Turkey5
Cummins College of Engineering for Women5
Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.5
Shandong University, School of Information Science and Engineering, Jinan, China5
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China5
Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)5
Stony Brook University5
College of Command Information Systems, PLA University of Science and Technology (PLAUST), Nanjing, China5
Artificial Vision Laboratory, National Taiwan University of Science and Technology, Taipei, Taiwan5
Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan5
Department of Computer Science & Engineering, The Ohio State University, OH5
Tsinghua National Laboratory for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China5
Department of Electrical Engineering, University of California, Riverside5
Beijing Key Laboratory of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China5
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences5
Beihang University, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beijing, 100191, China5
Department of Electrical and Computer Engineering, and CyLab Biometrics Center, Carnegie Mellon University, USA5
University of Illinois at Urbana-Champaign, Champaign, IL, USA5
Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany5
Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, Zhejiang, P.R. China5
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China5
University of Illinois at Urbana-Champaign, USA5
Medical Image Computing (ESAT/PSI), Faculty of Engineering, Katholieke Universiteit Leuven, University Hospital Gasthuisberg, Herestraat 49 box 7003, Belgium5
University of Surrey, Guildford, UK5
Centre for Artificial Intelligence, School of Software, FEIT, University of Technology Sydney, Australia5
Center for Behavioral Imaging and College of Computing, Georgia Institute of Technology, Atlanta, GA5
Google, California, United States5
PARC, Palo Alto, CA, USA5
Institute for Infocomm Research - A*STAR, 1 Fusionopolis Way #21-01 Singapore 1386325
Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece5
State Key Laboratory of Software Engineering, School of Computer, Wuhan University5
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciencse, Beijing, China5
MIT Lincoln Laboratory, Lexington, MA, USA5
University of California, Irvine, Irvine, USA5
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, New York, USA5
Dept. of Computer Science, Indiana University Purdue University Indianapolis, USA5
Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, USA5
Computer Science and Technology Department, Tsinghua University, Beijing, China5
National Engineering Research Center on Multimedia Software, School of Computer, Wuhan University, Wuhan, China5
Ryerson Multimedia Laboratory, Ryerson University, Toronto, Canada5
Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand5
University of Nottingham, UK5
Disney Research, UK5
Computer Vision and Image Processing Laboratory (CVIP), University of Louisville, Louisville, KY, 402925
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore5
Queen Mary University of London, London, U.K.5
School of Electronic Information, Wuhan University, 430079, China5
CTA, Gdańsk, Poland5
Institute of Intelligent System and Decision, Wenzhou University, China, 3250355
Johannes Kepler University, Linz, Austria5
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, China5
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung, University, Tainan, Taiwan, R.O.C5
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada5
Institute of Measurement and Control, Karlsruhe Institute of Technology, Karlsruhe, Germany5
Dept. of Autom., Tsinghua Univ., Beijing, China5
Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Japan5
University of Alberta, Canada5
Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA5
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia5
School of Information and Communication Engineering, Dalian University of Technology, China5
K.U. Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images at the Medical Imaging Research Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium5
National Tsing Hua University, Hsinchu, Taiwan5
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China5
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China5
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, China5
Intelligent Systems Research Laboratory School of Computer Science and Electronic Engineering University of Reading, United Kingdom5
University of Malaya, Kuala Lumpur, Malaysia5
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, Singapore, Singapore5
University of Technology Sydney, Sydney, Australia5
Centre for Intelligent Systems Research Deakin University, Australia5
Alibaba Group, Hangzhou, China5
Department of Computer and Information Sciences, Temple University, Philadelphia, 19122, PA5
Dept. Electrical Engineering, National Taiwan University, Taipei, Taiwan5
Chonnam National University, Gwangju, Korea5
National Taiwan University of Science and Technology, Taipei, Taiwan Roc5
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China5
Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia5
National Engineering Lab for Video Technology, Key Lab of Machine Perception(MoE), School of EECS, Peking University, Beijing, China5
Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, 2 George St., Brisbane, 4001, Australia5
Intel Labs5
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA5
Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana USA5
University of Sheffield, Sheffield, United Kingdom5
Dipartimento di Ingegneria dell'Informazione Università Politecnica delle Marche, Via Brecce Bianche, 60131, Ancona, Italy5
R V College of Engineering, Department of Computer Science and Engineering, Bangalore, India5
Institute of Information Science, Academia Sinica, Taipei, Taiwan5
Harada/Ushiku Lab., Graduate School of Information Science and Technology, The University of Tokyo5
Affectiva Inc., Waltham, MA, USA5
CBSR&NLPR. Institute of Automation Chinese Academy of Sciences., Beijing, 100190, China5
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China5
Institute of Computing, University of Campinas, Campinas, SP, Brazil, 13083-8525
Exploratory Comput. Vision Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA5
School of Software Technology, Dalian University of Technology, China5
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada5
University College London, London5
University of Illinois at Chicago, Chicago, Illinois, USA5
Fujitsu Laboratories Limited, Kanagawa, Japan5
Sun Yat-Sen University, Guangzhou 510006, China5
Inst. of Comput. Technol., Chinese Acad. of Sci., China5
Huawei Technologies, Beijing, China5
School of Internet of Things Engineering, Jiangnan University, Wuxi, China5
Electronics and Telecommunications Research Institute, Korea5
TDC, Network Systems and Technologies (NeST) Technopark, Thiruvananthapuram - 695581, India5
National Research University Higher School of Economics, Moscow, Russia5
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China5
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, 100190, China5
University of Houston, Houston5
University of Tübingen, Germany5
IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA5
University of Delaware, Newark, DE, USA5
Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China5
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 212185
Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada5
San Diego State University, San Diego, CA, USA5
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Massachusetts Institute of Technology, USA5
Universidade Nova de Lisboa, Caparica, Portugal5
Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown WV 26506, USA5
Microsoft Res. Asia, Beijing, China5
TU Darmstadt5
Department of Computer Science, University College London, UK5
Information Engineering College, Henan University of Science and Technology, Luoyang, China5
Waseda University5
LAAS-CNRS, Toulouse, France5
School of Resource and Environmental Sciences, Wuhan University, Wuhan, China5
Cognitive Science Department, Xiamen University, Xiamen, China5
Department of Computer Science, Universidade Federal de Minas Gerais, Brazil5
Zhejiang University & Alibaba Group, Hangzhou, China5
School of Computer Science & Engineering Northeastern University(NEU), Shenyang, China5
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom5
Measurement and Information Systems, Warsaw University of Technology, Institute of Theory of Electrical Engineering, ul. Koszykowa 75, Warszawa, 00-662, Poland5
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam5
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, New South Wales, Australia5
New York University, New York City, NY, USA5
Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China5
Ghent University, Belgium5
GSCM-LRIT, Faculty of Sciences, Mohammed V University, PO.Box 1014, Rabat, Morocco5
School of Electronic Information, Wuhan University, 430072, China5
School of Computer Science, Beijing Institute of Technology, Beijing 100081, P.R. China5
Department of Computer Engineering, Karadeniz Technical University, Trabzon, Turkey5
Nokia Research Center, Beijing5
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia5
REGIM: Research Groups on Intelligent Machines, University of Sfax, ENIS, Tunisia5
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China 4100735
College of Information and Communication Engineering, Harbin Engineering University, Harbin, China5
Bahcesehir University, Istanbul, Turkey5
University of Technology, Sydney, Sydney, Australia5
Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain5
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, HR-10000 Zagreb, Croatia5
The Pennsylvania State University, University Park, PA, USA5
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI5
School of Computer Science and Technology, Tianjin University, Tianjin, 300350, China5
Department of Computer Science, University of Illinois at Urbana-Champaign5
Department of Computer Science and Technology, Tongji University, Shanghai, China5
IIIT Hyderabad, India5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Japan5
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA5
Department of Computer Science, University of Oxford5
Institut für Informationsverarbeitung, Gottfried Wilhelm Leibniz Universität Hannover, Hannover, Germany5
University of Queensland, Brisbane, Australia5
School of Artificial Intelligence, Xidian University, Xi’an, China5
Intelligent Systems Lab (LSI) from Universidad Carlos III de Madrid, Leganés, Spain5
The Australian Centre for Visual Technologies, The university of Adelaide4
University of Technology, Sydney, P.O. Box 123, Broadway, NSW, 2007, Australia4
Department of Electronic Engineering, University of Electronic Science and Technology of China, 611731 Chengdu, Sichuan, China4
Delft University of Technology, Netherlands4
Xi'an Jiaotong University, School of Software Engineering, Xi'an, China4
University of the Western Cape, Bellville, Western Cape4
Queensland University of Technology, Australia4
Department of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan4
Technicolor, 975 Avenue des Champs Blancs, Cesson-Sevigne, 35576, France4
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, China4
Complutense University, Madrid, Spain4
Department of Information Science & Electronic Engineering, Zhejiang University, No. 38 Zheda Road, Hangzhou 310027, China4
Dept. of Computing, Curtin University GPO Box U1987, Perth, WA 68454
Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China4
Department of Electronics and Communication Engineering, Hanyang University (ERICA Campus), South Korea4
Korea Advanced Institute of Science and Technology, Daejeon, Korea4
New York University, Brooklyn, NY, USA4
Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China4
Department of Computer Science & Engineering, Department of Electronics Engineering, Indian Institute of Technology (B.H.U.), Varanasi-221005, India4
School of EE, KAIST, Yuseong-gu, Daejeon, Republic of Korea4
Robotics Research Center, Kohli Center on Intelligent Systems, IIIT Hyderabad, India4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China4
University of Chinese Academy of Sciences & CAS, Beijing, China4
Department of Electrical and Computer Engineering, University of Windsor, Ontario, Canada4
School of Computer Science, Cardiff University, Cardiff, U.K.4
National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China4
Department of Electrical and Electronic Engineering, University of Bristol, Bristol, U.K.4
Advanced Computing Research Laboratory, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China4
Intelligent Sensing and Communications Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K.4
School of Computing, Informatics & Media, University of Bradford, Bradford City, UK4
Johannes Bach, Jacob Langner, Stefan Otten and Eric Sax are with FZI Research Center for Information Technology, 76131 Karlsruhe, Germany4
Corporate Research & Development, Toshiba Corporation, Japan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications No 10, Xitucheng Road, Haidian District, Beijing, China, 1008764
Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, LANZHOU JIAOTONG UNIVERSITY, Lanzhou, Gansu Province, China4
Cognition Technology Research Team, Electronics and Telecommunications Research Institute, Daejeon, 305-700, Republic of Korea4
Institute of Microelectronic Systems, Leibniz Universität Hannover, Appelstr. 4, 30167 Hannover, Germany4
College of Science, National University of Defense Technology, Changsha, China4
University of Portsmouth, United Kingdom4
University of Udine, Via Delle Scienze, Udine, Italy4
School of Computer Science and Information Technology, Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, 130117, China4
Department of Telecommunication, Brno University of Technology, Czech Republic4
Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland4
École de technologie supérieure (ÉTS) Montreal, Canada4
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing, China4
Informatics Institute, University of Amsterdam, Netherlands4
Australian Centre for Field Robotics, The University of Sydney, Sydney, NSW, Australia4
College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China4
Université de Lyon, CNRS, UMR5205, F-69622, France4
Department of Computer Engineering, K J Somaiya COE4
Department of Automation, Tsinghua University, Beijing 100084, China4
LITIS laboratory, INSA of ROUEN - University of Rouen, France4
Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic4
Department of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China4
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Lishui Road 2199, Nanshan District, China 5180554
Department of Electrical Engineering, Indian Institute of Technology Kanpur, India4
Department of Information Technology4
Department of Computer Science, Aalto University, Finland4
Université de Lyon, CNRS, UMR5205, F-69622, France4
National Laboratory of Pattern Recognition, Institute of Automations, Chinese Academy of Sciences, Beijing, China4
Signal & Information Processing Laboratory, Beijing University of Technology, China, 1001244
North China Electric Power University Department of Electronic and Communication Engineering Baoding, Hebei, China4
Federal University of Piauí, Teresina, Brazil4
University of Michigan, USA4
Rey Juan Carlos University, C. Tulipán, S/N, Móstoles, Madrid, Spain, 289334
Singapore and the ST Engineering, NTU Corporate Lab, Nanyang Technological University, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore4
Institute for Human-Machine Communication, Technische Universität München, Germany4
POLCOMING, University of Sassari Viale Mancini 5-07100 Sassari - Italy4
Technische Hochschule Ingolstadt, Institute for Applied Research (IAF) Esplanade 10, 85049 Ingolstadt4
Department of Electrical Engineering, University of Windsor, ON, N9B3P4, Canada4
Department of Automation, University of Science and Technology of China, Anhui Hefei 230027, P. R. China4
Image and Video Laboratory, Queensland University of Technology (QUT), Brisbane, Australia4
Information Technologies Institute, Centre for Research and Technology Hellas4
Robotics and Artificial Intelligence Lab, Indian Institute of Information Technology, Allahabad, 211012 (U.P), India4
Universitas Indonesia, Depok, Indonesia4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China4
State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China4
Department of Electronics, Computer Sciences and Systems, University of Bologna, Cesena, Italy4
Intelligent Cognitive Tech. Research Dept., ETRI, Daejeon, Korea4
HumanTech Institute, University of Applied Sciences, Fribourg, Switzerland4
Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ- 080284
College of Computer Science, Sichuan University, China4
LAPI, University Politehnica of Bucharest, Romania4
School of Computer, Wuhan University, 430072, China4
State Grid Shanxi Electric Power Research Institute, Taiyuan, 030001, China4
CEA LIST, Vision and Content Engineering Lab, Point Courrier 94, Gif-sur-Yvette, F-91191 France4
Laboratory of Autonomous Robotics, Department of Electrical & Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel4
Computer Vision Lab, Inha University, Inha-ro 100, Nam-gu, Incheon, South Korea4
Computer Engineering Department, Polytechnic School, University of Alcal á, Madrid, Spain4
Haerbin Institue of Technology, Harbin, China4
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA4
Faculty of Computing and Information Technology, Tunku Abdul Rahman University College, Setapak, Malaysia4
Institute of Systems and Robotics, Electrical and Computer Engineering Department, University of Coimbra, Portugal4
Department of Computer Science & Information Technology, University of Malakand, Khyber Pakhtunkhwa, Pakistan4
Sun Yat-Sen University4
School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China4
Shanghai University School of Communication and Information Engineering Shanghai, China4
Chair of Production Engineering of E-Mobility Components of RWTH Aachen University, 52074 Aachen, Germany4
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, P. R. China4
Media Integration and Communication Center - MICC, University of Florence, Italy4
Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, 09123, Italy4
School of Electronics and Information Technique, Harbin Institute of Technology, No.92, West Da-Zhi Street, Heilongjiang, China4
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China 1001914
Advanced Technical Center - Israel, General Motors R&D, Hamada 7 Herzlyia, Israel4
Image and Video Systems Laboratory, Korea Advanced Institute of Science and Technology, Daejeon, Korea4
University of Denver, Denver4
The Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia4
School of Computer Science and Engineering, Nanjing University of Science and Technology, 210094, China4
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, P.R. China4
Electrical and Computer Engineering, North Carolina State University, NCSU, Raleigh, North Carolina, USA4
Department of Information and Electronics, Graduate School of Engineering, Tottori University4
Department of Mathematics and Computer Science University of Basel4
School of Communication Engineering and the Kangni Mechanical and Electrical Institute, Nanjing Institute of Technology, Nanjing, China4
IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal4
LITIS laboratory4
Computer Science Department, University of Illinois at Urbana-Champaign, USA4
Department of Automation, University of Science and Technology of China, Hefei, Anhui, China4
Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, USA4
Department of Electrical Engineering, Indian Institute of Science, Bangalore4
Instituto Superior Tecnico , Lisbon, Portugal4
Sch. of Comput., Singapore Nat. Univ., Singapore4
IISIS, University of North Carolina Wilmington, 28403, USA4
School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, 6140, New Zealand4
School of electronic information and control engineering, Beijing University of Technology, China4
SATIE, Université Paris-Sud, ENS Cachan, CNRS, Université Paris-Saclay, 91405, Orsay, France4
Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, New York University Abu Dhabi, UAE4
Electronics and Communication Engineering Department, Istanbul Technical University, 34469 Maslak, TURKEY4
Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386324
Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science, Sun Yatsen University, Guangzhou, China4
Leibniz Universität, Hannover, Germany4
Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China, Huazhong University of Science and Technology, Wuhan, China4
Graduate School of Informatics, Nagoya University, Aichi, Japan4
Graduate Shcool of Information Science, Nagoya University, Japan4
Division of Biomedical Engineering, University of Cape Town, South Africa4
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R., Shannxi, China4
School of Computer Science and Engineering, Wuhan institute of Technology, Wuhan, China, 4300734
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China 6117314
Intelligent Data Center and the Department of Mathematics, Sun Yat-sen University, Guangzhou, China4
Social Robotics Lab, Interactive Digital Media Institute, Department of Electrical and Computer Engineering, National University of Singapore, Singapore4
Wuhan Zhongyuan Huadian Science & Technology Co., Ltd., Wuhan, China4
Department of Electrical and Computer Engineering, Seoul National University4
Centre de Visió per Computador Universitat Autònoma de Barcelona4
LIMIARF, Faculty of Sciences, Mohammed V University in Rabat, Morocco4
Artificial Intelligence Institute, Zhejiang University Hangzhou, China4
School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China4
School of Electronics and Computer Science, University of Southampton, UK.4
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi'an, P R China4
College of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China4
Université Paris-Sud, Institut d'Electronique Fondamentale, UMR8622, Orsay, F-91405, CNRS, Orsay, F-914054
Department of Automation, with the State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, Beijing, China4
IT Department, Mutah University, Karak, Jordan, 617104
Nanjing University of Posts and Telecommunications, 210046, China4
Institute for Advanced Computer Studies, University of Maryland, College Park4
Center for Electrical Engineering and Informatics, Federal University of Campina Grande, Paraíiba, Brazil4
Mitsubishi Electric Research Laboratories (MERL), 201 Broadway, Cambridge, MA 02139, USA4
McMaster University, Hamilton, ON, Canada4
Sensors & Electron Devices Directorate, Army Research Laboratory, Adelphi, MD, USA4
Sun Yat-sen University, School of Data and Computer Science, GuangZhou, China4
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Guayaquil, Ecuador4
National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China4
Department of Automation, Tsinghua University4
Graduate School of Engineering, Mie University4
Department of Computer Science & Engineering, Centre for Computer Vision and Pattern Recognition, National Institute of Technology Rourkela, Rourkela, India4
School of Computer Science, University of the Witwatersrand, Johannesburg, South Africa4
College of Mechatronics and Automation, National University of Defense Technology, Changsha, China4
Electrical and Computer Systems Engineering, School of Engineering, Monash University Malaysia, 46150 Selangor, Malaysia4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China4
School of Computer Science and Technology& Provincial key Laboratory for Computer information processing technology Soochow University Suzhou 215006, Jiangsu, China4
Grupo de Tratamiento de Imágenes, Information Processing and Telecommunications Center (IPTC) and ETSI Telecomunicacioìn, Universidad Politécnica de Madrid, Madrid, Spain4
Universitat Politécnica de Catalunya, BARCELONATECH Image and Video Processing Group, C. Jordi Girona 31, Barcelona, 08034, Spain4
Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China4
School of Automation and Information Engineering, Xi'an University of Technology, Xi'an, China4
Boğaziçi University, Bebek, Istanbul, Turkey4
Department of Computer Science and Technology, Tsinghua University, China4
College of electronic and information engineer Changchun University of Science and Technology Changchun China4
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, China4
School of Computing, University of Leeds4
Graduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga, 525-8577 Japan4
Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy4
Zhejiang University, Hangzhou, 310027, P.R. China4
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, Michigan 48128, USA4
Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt4
School of Communication and Information Engineering, Shanghai University, China4
School of Computing 8 Info. Sciences, Florida International University, Miami, FL, USA4
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA4
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA4
Dept. of Telecommunications and Multimedia, University of Zilina, Univerzitna 1, 010 26 Zilina4
Faculty of Mathematics and Statistics, and Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, China4
Peking University, National Engineering Laboratory for Video Technology, School of EE&CS, Beijing, China4
School of Mechatronics Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai (200072), China4
Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan4
Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China4
Beijing Jiaotong University, School of Computer and Information Technology, Beijing, China4
Biometric Engineering Research Center, Yonsei University, Seoul, Korea4
University of Electronic Science and Technology of China4
Department of Electrical and Computer Engineering and ASRI, Seoul National University, Seoul, South Korea4
Honda Research Institute, 375 Ravendale Dr, Suite B, Ravendale, CA, 94043, USA4
Department of Informatics, Aristotle university of Thessaloniki, Greece4
School of Electrical Engineering and Computer Science, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia4
Department of Computer Science and Engineering, Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering4
Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands4
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology , Chinese Academy of Sciences, Beijing, China4
Moulay Ismail University, Faculty of Sciences and Techniques, Department of Computer Science, ASIA Team, M2I Laboratory, BP 509 Boutalamine 52000, Errachidia, Morocco4
Beijing, Haidian, China4
Department of Industrial Engineering and Management, Faculty of Technical Sciences, Novi Sad, Serbia4
Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, People's Republic of China4
Video/Image Modeling and Synthesis Laboratory, Department of Computer and Information Sciences, University of Delaware, Newark, DE4
Jiangsu University, Zhenjiang, Jiangsu, China4
School of Electronics, Electrical and Communication Engineering University of Chinese Academy of Sciences, Beijing, China4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China 1008764
The Electronic Engineering Department, Sogang University, Seoul, Korea4
Pennsylvania State University, University Park, PA, USA4
Key Lab of Optoelectronic Technology & Systems of Education Ministry, Chongqing University, China4
School of Cyber Security, Shanghai Jiao Tong University, Shanghai, China4
Streaming Lab, Shen Zhen Instituted of Information Technology4
Dept. Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran4
Image and Video Systems Lab, School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
Computer Vision Center, Universitat Autònoma de Barcelona, Spain4
Department of Information Engineering and Computer Science (DISI), University of Trento, Trento, Italy4
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China 2120134
Department of Computer Engineering, Khalifa University, UAE4
Department of Electrical and Information Engineering, Covenant University, Ota Ogun State, Nigeria4
College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, P. R. China4
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia4
Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China4
LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061071, Romania4
Shanghai Key Laboratory of Multidimensional Information Processing, Department of Computer Science and Technology, East China Normal University, China 2002414
Department of Computer Science and Engineering, Michigan State University, East Lansing MI 488244
U&P U. Patel Department of Computer Engineering, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India4
Institute of Computer Science and Technology, Beijing, China4
Key Laboratory of System Control and Information Processing, Ministry of Education of China, School of Electron Information and Electrical Engineering, Shanghai Jiao Tong University, China, 2002404
Dept. of Comput. Sci. & Eng., Notre Dame Univ., USA4
Key Laboratory of Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China4
Department of Electrical and Computer Engineering and ASRI, Seoul National University, Seoul, Korea4
Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Gliwice, Poland4
College of Computer Science, Zhejiang University, China4
Shenzhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, The Chinese University of Hong Kong, Hong Kong SAR4
School of Resource and Environment Sciences, Wuhan University, Wuhan, China4
NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan4
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China4
sch. EECS, Peking University, Beijing, China4
Department of Computer Science & Technology, Nanjing University of Science & Technology, Nanjing 210094. E-MAIL: laterfall2@yahoo.com.cn4
Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea4
Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, China4
Beijing Key Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China4
State Key Laboratory of Virtual Reality Technology and Systems, Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, Beijing, China4
Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation of China, Xidian University, Xi’an, China4
Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, Korea4
College of Computer Science and Technology, Zhejiang University, China4
Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, 02881, USA4
Nippon Telegraph and Telephone Corporation, Kanagawa, Japan4
IIIT-Delhi, New Delhi, India4
Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland4
School of Computer Science, Sichuan University, Chengdu, China4
Multimedia Communications Laboratory, University of Information Technology VNU-HCM, Ho Chi Minh City Vietnam4
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway4
Xerox Research Centre Europe, FRANCE4
Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Brazil4
Princeton University4
University of California, San Diego, USA4
imec-IPI-Ghent University, Sint-Pietersnieuwstraat 41, 9000 Gent, Belgium4
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing, China, 1001904
The University of Queensland, School of ITEE, QLD 4072, Australia4
DRIVE EA 1859 Laboratory, Univ. Bourgogne Franche Comté, F58000, Nevers, France4
Nanyang Technological University, School of Electrical and Electronics Engineering, Singapore, 6397984
University of Vienna, Vienna, Austria4
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA4
Multimedia Processing Lab., Samsung Advanced Institute of Technology (SAIT), Suwon-si, Korea4
NVIDIA, Santa Clara, CA4
Osaka university, Japan4
Willow Garage Inc., Menlo Park, CA, USA.4
Facultad de Ingeniería, Universidad Panamericana, Aguascalientes, Mexico4
Chair of Media Technology, TUM, Munich, Germany4
Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy4
Corporate Research & Development Center, TOSHIBA Corporation, Japan4
School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, NSW 2522, Australia4
Information Research Institute of Shandong Academy of Sciences, Jinan, China4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology4
Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China4
University of Michigan, Ann Arbor, MI4
School of Communication and Information Engineering, BUPT, Beijing, China4
Nanjing University, Nanjing, Jiangsu, China4
School of Computer Science and Engineering, University of Electronic Science and Technology of China4
Technical University of Catalonia (UPC), Department of Signal Theory and Communications, Spain4
Technical University of Berlin (TUB), Communication Systems Group, Germany4
Department of Computer Science, Swansea University, Swansea, UK4
TU Darmstadt, Germany4
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China4
School of Information and Communication Engineering, Dailian University of Technology, Dalian, China4
The Hong Kong Polytechnic University, Hong Kong, Hong Kong4
College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China4
State Key Laboratory of Industrial Control Technology, Zhejiang University No. 38 Zheda Road, Hangzhou, China, 3100274
Complex System Control Theory and Application Key Laboratory School of Electrical and Electronic Engineering, Tianjin University of Technology (TJUT), Tianjin, 300384, China4
National Key Laboratory of Aerospace Intelligent Control Technology, Beijing 100854, P.R. China4
Radboud University, Nijmegen, HR, The Netherlands4
School of Engineering, Universidad Autonoma de Madrid, Spain4
Electronics and Telecommunications Research Institute, Daegu-Gyeongbuk Research Center, Republic of Korea4
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing, China4
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China4
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India4
Dalle Molle Instituite for Artificial Intelligence (IDSIA), Lugano, Switzerland4
Faculty of Science and Engineering, Waseda University, Tokyo, 162-0042, Japan4
Michigan State University, USA4
College of Computer Science, Sichuan University, Chengdu, 610065, China4
Faculty of Information Science and Technology (FIST), Multimedia University, Melaka, Malaysia4
Multimedia Computing Research Laboratory, University of Ottawa, Ottawa, ON, Canada4
School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China4
Center for Computer Vision and Department of Mathematics, SunYat-Sen (Zhongshan) University, Guangzhou 510275, China4
Graduate School at Shenzhen, Tsinghua University, Shenzhen Institute of Future Media Technology, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China4
Lancaster University, Lancaster, UK4
Visual Sensorics & Information Processing Lab, Goethe University Frankfurt am Main, Germany4
School of Computer and Information, Hefei University of Technology, China4
DII, Università degli Studi di Siena, Via Roma, 56 - 53100 (Italy)4
College of Automotive Engineering, Kookmin University, Seoul, South Korea4
School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia4
CSIR-Central Scientific Instruments Organisation, Chandigarh, India4
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran4
School of Computer Science and Technology, University of South China, Hunan, China4
Center for Future Media & School of Computer Science and Engineering University of Electronic Science and Technology of China, China4
College of Information System and Management, National University of Defense Technology, Changsha, Hunan Province, China4
Institute for Systems and Robotics / IST, Technical University of Lisbon, Portugal4
GRAM, Dept. of Signal Theory and Communications, University of Alcalá, Alcalá de Henares, Spain4
The Robotics Institute, Carnegie Mellon University, Pittsburgh, USA4
Dept of Computer Engineering, MIT College of Engineering4
Electronic, and Communication Engineering, Chuo University, Department of Electrical, Tokyo,Japan4
Department of Electrical and Computer Engineering, Beckman Institute Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA4
Tsinghua National Laboratory for Information Science and Technology, Tsinghua Uinversity, Department of Electronic Engineering, Beijing 100084, China4
Face Recognition and Artificial Vision Group - Universidad Rey Juan Carlos, C/ Tulipán, s/n - Móstoles - 28933 - Spain4
ETH Zürich, 8092 Zürich, Switzerland4
School of Computer, National Engineering Research Center for Multimedia Software, Wuhan University, China4
Jiangsu University, Zhenjiang, China4
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China 10008764
Chubu University, 1200 Matsumoto cho, Kasugai, Aichi, Japan4
School of Computer Science & Engineering, Xi'an University of Technology, China4
Dept of computer science International Islamic University Malaysia (IIUM) Kuala Lumpur, Malaysia4
State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China4
Department of Computer Science, Yonsei University, Seoul, Korea4
Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China4
Department of Medical Biophysics, University of Western Ontario, London, ON, Canada4
Automation Department, Tsinghua University, Beijing, China4
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China4
School of Information Renmin University of China, Beijing, China4
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece4
School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada4
Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea4
Center for Computer Vision and Department of Mathematics, Sun Yat-Sen University, Guangzhou, China4
Department of Electrical and Computer Engineering, University of Windsor, ON, N9B 3P4, Canada4
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, 2019 Jialuo Road, Jiading, Shanghai, P.R. CHINA4
College of Computer Science & Software Engineering, Shenzhen University, GuangDong, China4
chool of Electrical Engineering, KAIST, Daejeon, 305-701, Korea4
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore4
Information Technologies Institute, CERTH, Thessaloniki, Greece4
Department of Computer Science, Tamaki Campus, The University of Auckland, 1142, New Zealand4
Youngstown State University, USA4
School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China, 4300734
Ist. di Studi sui Sistemi Intelligent per l'Automazione, CNR, Bari, Italy4
University of Mannheim, Mannheim, Germany4
National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, China4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang, University, Beijing 100191, China4
Dept. of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan4
Graduate School of Engineering, Mie University, Tsu, Mie, Japan4
Indian Statistical Institute, Kolkata, India4
School of Computer Science and Engineering, Xi'an University of Technology, China4
University of Salzburg, Department of Computer Sciences, 5020 Salzburg4
Tsinghua National Lab for Info. Sci. & Tech. (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China, 1000844
NERCMS, School of Computer, Wuhan University, China4
Department of Computer Science, Western University, London, ON, N6A 5B7, Canada4
Fakulta riadenia a informatiky, Žilinská Univerzita v Žiline, Žilina, 01026, Slovakia4
Dept. of Brain and Cognitive Engineering, Korea University, Seoul, Korea4
Contents Protection and Management Team, ETRI, Deajeon, KOREA4
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, United Kingdom4
Institute of Machine Learning and Systems Biology, College of Electronics and Information Engineering, Tongji University, Caoan Road 4800, Shanghai 201804, China4
Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea4
Visual Information Processing Laboratory/Shenzhen Key Laboratory of Science and Technology, Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, China4
Department of Computer Science, University of North Carolina, Charlotte, NC, USA4
Dipt. di Matematica ed Inf., Univ. degli studi di Salerno, Italy4
Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan4
Universidad Rey Juan Carlos, Spain4
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Germany4
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China4
Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany4
Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India4
Computer Science and Engineering Dept., University of Nevada Reno, USA4
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105204
Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea4
College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China4
Norwegian Biometrics Laboratory, NTNU, 2802 Gj⊘vik, Norway4
Computer Science Department, Rutgers University, 110 Frelinghuysen Road Piscataway, NJ 08854 USA4
Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India4
Electrical Engineering and Computer Science Department, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea4
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran4
People's Public Security University of China, School of Information technology and Network Security, Bejing, China4
Lab-STICC, Université de Bretagne Occidentale and Université de Bretagne Sud, France4
Dept. Computer Science, Montana State University, Bozeman, MT 59717, USA4
Computer Science, Colorado State University, Fort Collins, USA4
Department of Computer Science - University of Brasilia - Brazil4
National Key Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, 410073, China4
School of Mathematical Sciences, Dalian University of Technology, Dalian, China4
Zhejiang University, College of Computer Science, Hangzhou, P. R. China4
National University of Defense Technology (NUDT), Changsha, China4
Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany4
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND4
UC Merced, USA4
SIANI - Universidad de Las Palmas de Gran Canaria, Spain4
University of Alcalá, Alcalá de Henares, Spain4
Université de Nantes, France, Nantes, France4
Institute of Information Science, Beijing JiaoTong University, Beijing 100044, P.R. China4
Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan4
Guangzhou, China4
Department of Computer Graphics and Multimedia, University of Brno, Brno, Czech Republic4
Shenzhen Key Laboratory of Information Science and Technology, Shenzhen Engineering Laboratory of IS&DCP and the Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Beijing, China4
Nara Institute of Science and Technology4
Zhengzhou University, Zhengzhou 450000, P.R China4
Department of Electrical and Computer Engineering, University of Denver, Co, 80208, USA4
Department of Technology, Pompeu Fabra University, Barcelona, Spain4
University of Florence, Italy4
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China4
IP-based Communication Laboratory4
Department of Computers and Informatics, Košice, Slovakia4
School of Computing, The University of Southern Mississippi, Hattiesburg, MS, USA4
Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
Department of Computer Science and Engineering, Shanghai Jiao Tong University4
School of Software Engineering, Chongqing University, China4
Department of Mathematics, Intelligent Data Center, Sun Yat-sen University, Guangzhou, China4
University of Massachusetts, Lowell, MA4
School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand4
ECE, VIT University, VIT, Chennai, India4
State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering, Tsinghua University, Beijing 100084, China4
School of Computer and information, Hefei University of Technology, Hefei, China4
Norwegian University of Science and Technology, Trondheim, Norway4
University of Liverpool, School of Electrical Engineering Electronics and Computer Science4
Computer Engineering Department, Universidad de Alcala de Henares, Madrid, Madrid, Spain4
Dept of Electronics and Communication, Manipal Institute Of Technology, Karnataka, India4
Shenzhen Academy of Robotics, Shenzhen, Guangdong, China4
Tel-Aviv University4
College of Information and Communication Engineering, Sungkyunkwan University, 300 Chunchundong Jangangu Suwon, Korea4
Object Video, Inc. 11600 Sunrise Valley Drive, Suite 290, Reston VA 20191, USA4
Department of Biophysics and Electronics Engineering (DIBE), University of Genoa, Italy4
Umm al Qura University, Makkah, Saudi Arabia4
National ICT Australia, Sydney, Australia4
INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France4
Department of Computing, Curtin University, Australia4
Northeastern University, Boston, USA4
Faculty of Information Technology, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia4
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 1100164
College of Computer Science, Zhejiang University, Hangzhou, China 3100274
Institute of Computing - University of Campinas - Campinas, Brazil4
Queen Mary, University of London, E1 4NS, UK4
The school of Electronics Engineering & Computer Science, Peking University, Beijing, China4
Green IT Service Research Team, Honam Research Center, Electronics and Telecommunications Research Institute, Gwangju, South Korea4
Pattern Recognition and Intelligent System Lab (PRIS) Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China4
Institute of Intelligence Information Processing, Xidian University, Xi¿an, China, 7100714
Computer Engineering Department, Galatasaray University, Istanbul, 4349, Turkey4
University of of Modena and Reggio Emilia4
Department of Mechano-Informatics. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan4
Nanjing University of Information Science and Technology, Nanjing, China4
School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology Guangxi Guilin, China4
Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea4
Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, 41125, Italy4
School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China4
RMIT University, Victoria 3083, Australia4
Department of Automation, Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology, Beijing, China4
Indiana University, Bloomington, IN4
School of Electric Information and Electronic Engineering, Shanghai Jiaotong University4
School of Engineering & Applied Science, Ahmedabad University, Gujarat, India 3800094
National Laboratory of Pattern Recognition, CASIA, Center for Research on Intelligent Perception and Computing, CASIA, Center for Excellence in Brain Science and Intelligence Technology, CAS, University of Chinese Academy of Sciences, Beijing, 100049, China4
Department of Electrical Engineering, Indian Institute of Technology, Patna, Bihar, India4
Visteon Corporation, Karlsruhe, Germany4
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China4
State Key Laboratory of Intelligent Technology and Systems, Department of Automation, Tsinghua University, Beijing 100080, China4
Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China4
Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea4
Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand4
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China4
Seoul Nat'l Univ.4
Inter-university Semiconductor Research Center, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea4
Multimedia Department, Faculty of Computer Science & IT, University Putra Malaysia, Serdang, 43300, Malaysia4
AI Department, Ant Financial Services Group, Hangzhou, China4
National Institute of Informatics, Japan4
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China4
Dept. of Informatics, University of Hamburg, Germany4
Institute of Smart City Shanghai University, School of Communication and Information Engineering, Shanghai, China4
University Politehnica of Bucharest4
Le2i, FRE CNRS 2005, Arts et Métiers, Université Bourgogne Franche-Comté, France4
Seoul National University4
Information Science and Technology College, Dalian Maritime University, Dalian 116026, China4
Air Force Engineering University, Xi'an, China4
Department of Information Technology, UITRGPV, BHOPAL, India4
University of Illinois at Urbana-Champaign, Urbana, USA4
Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University, China4
School of Computer Science and Telecommunication Engineering, Jiangsu University, ZhenJiang, Jiangsu, 212013, P. R. China4
Institute for Human-Machine Communication, Technische Universität München, Germany4
college of Software Engineering, Tongji University4
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China4
Graduate Institute of Electronics Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Rd., Taipei 106, Taiwan, R.O.C.4
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China4
School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, United Kingdom4
Jiangxi Normal University, Nanchang, China4
Department Moving Picture Technologies, Fraunhofer IIS, Erlangen, Germany4
Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain4
Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA4
CC Innovation in Intelligent Multimedia Sensor Networks, Lucerne University of Applied Sciences and Arts (HSLU), Lucerne, Switzerland4
School of Computer Science, Northwestern Polytechnical University, Xi’an, China4
School of Electronic and Information, South China University of Technology, Guangzhou 510660, China4
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, Türkiye4
Istituto Italiano di Tecnologia (IIT), Pattern Analysis and Computer Vision (PAVIS), Via Morego 30, 16136 Genova, Italy4
College of Information Engineering, North China University of Technology, Beijing, China4
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Korea4
Microsoft Research, Redmond, USA4
Dept. of Computer Science, The University of Hong Kong, Hong Kong4
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame4
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China, Wuhan, China4
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, 133-791, Korea4
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK4
University of Michigan, Ann Arbor, MI, USA4
Federal University of Rio de Janeiro - COPPE - Electrical Engineering Program, Rio de Janeiro, Brazil4
Robotics and Computer Vision Labortory, Dep. of EE, KAIST, Daejeon, 34141, Korea4
Department of Computer Science, Vision, Image Processing and Sound Laboratory, University of Verona, Verona, Italy4
Dirección General de la Guardia Civil - DGGC Madrid, Spain4
TAMS, Department of Informatics, University of Hamburg, Hamburg 22527, Germany4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China4
State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, 110016, China4
Computer Vision Centre Barcelona, Barcelona, Spain4
College of Command Information Systems, PLA University of Science & Technology, Nanjing, China4
NICTA, PO Box 6020, St Lucia, QLD 4067, Australia The University of Queensland, School of ITEE, QLD 4072, Australia4
Inha University, South Korea4
Institute for Technological Development and Innovation in Communications (IDeTIC), Signals and Communications Department, University of Las Palmas de Gran Canaria Las, Palmas de Gran Canaria, Spain4
Dept. of ECE & Digital Technology Center, University of Minnesota, USA4
Queensland University of Technology, Brisbane, QLD, Australia4
Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China4
College of Communication Engineering, Hangzhou Dianzi University, China4
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, No.95 East Road of Zhongguancun, Beijing, China4
College of Automation, Harbin Engineering University, Harbin, Heilongjiang Province, 150001, China4
Department of Computer Science, Washington University, Saint Louis, Missouri, 631304
Hewlett-Packard Laboratories, Hewlett-Packard Company, Palo Alto, CA, USA4
CSIR-Central Scientific Instruments Organisation, Chandigarh, 1600304
Dept. of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center, 134 Shinchon-Dong, Seodaemun-Gu, Seoul, Korea4
School of Computer Science and Engineering, Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China4
School of Computer Science, Wuhan University, Wuhan, China4
Facultad de Ingenieria, Universidad Panamericana, Aguascalientes, Mexico4
Scientific Research Institute of Multiprocessor Computer Systems, Southern Federal University, Taganrog, Russia4
Department of Computer Science University of Rochester, NY 14627, USA4
Mathematic and Application Laboratory, FSTT, Tangier, Morocco4
NTT Software Innovation Center, Tokyo, Japan4
Universiti Sains Malaysia, Penang, Malaysia4
School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, China4
M S Ramaiah University of Applied Sciences, Bangalore, India4
National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China4
Environment Perception Group, Daimler AG Group Research & Advanced Engineering, 71059 Sindelfingen, Germany4
Universitat Politècnica de València, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain4
École Polytechnique de Montréal, Montréal, QC, Canada4
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL4
University of Bologna4
National Electronic and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani, Thailand, Tokyo Institute of Technology, Tokyo, Japan4
The University of Dayton, Dayton, OH 45469, USA4
School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China4
National Digital Switching System Engineering Technology Research Center, Zhengzhou City, 450000, China4
Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China4
Departments of Computer Science, Youngstown State University, Youngstown, OH 44555, USA4
Road Environment Recognition Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan4
Institute of Computer Science, Foundation for Research & Technology - Hellas, Heraklion, Crete, Greece4
Faculty of Engineering Science, Department of Systems Innovation, Arai Laboratory at Osaka University, Japan4
Making Sense of Data Group, National ICT Australia and School of Computer Science and Engineering, The University of New South Wales, Australia4
University of Houston, Houston, TX, USA4
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, No.96, JinZhai Road Baohe District, Hefei, Anhui, 230026, P.R. China4
Dept of Computer Engineering, Kyung Hee University, Yongin-si, South Korea4
Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan4
George Mason University, Fairfax, Virginia4
College of Electronic Science, National University of Defense Technology, Changsha, China4
University of Biskra, Biskra, Algeria4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China4
Department of Computer and Information Science, Temple University, Philadelphia, PA, USA4
School of Statistics, Capital University of Economics and Business, Beijing, China4
Department of Computer Science and Engineering, University of Notre Dame, IN 46556, USA4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, Tsinghua University Beijing 100084, China4
Department of Automatic Control Northwestern Polytechnical University Xi'an 710072, China4
CyLab Biometrics Center, Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA4
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi, China4
Faculty of electrical engineering, University of Ljubljana, Slovenia4
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, P. R. China, 4100734
Department of Information Management and Security, Korea University4
JOL WAVE Telecom Italia, Catania, Italy4
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, China4
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China4
Department of Psychology, Università della Campania, “Luigi Vanvitelli”, and IIASS, Caserta, Italy4
Department of Electrical Engineering, IIT Madras, Chennai, India4
Faculty of Computer and Information Science, University of Ljubljana4
Dept. of Electron., Alcala Univ., Madrid, Spain4
Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan4
Face Aging Group, University of North Carolina, Wilmington, NC, USA4
University of Ljubljana4
Istanbul Technical University4
The Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania4
Digital Optics Corporation, Bucharest, Romania4
School of Computing, University of Southern Mississippi, Hattiesburg, 39406, USA4
Seoul National University, Seoul, Rebublic of Korea4
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia4
School of Electronic and Information Engineering, Beihang University, Beijing Laboratory for General Aviation Technology, Beijing, 100191, P. R. China4
Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, P.R. China4
Université de CaenBasse-Normandie, UMR 6072 GREYC, F-14032 Caen, France4
Le2i EA, Université de Bourgogne Franche-Comté, Dijon, FRANCE4
Institute of Networked and Embedded Systems and Lakeside Labs, Alpen-Adria-Universität Lakeside Park B02b, 9020 Klagenfurt, Austria4
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 1001904
Biometric Standards, Performance and Assurance Laboratory, Purdue University, Department of Technology, Leadership and Innovation, West Lafayette, IN, USA4
University of Illinois at Urbana-Champaign, 61801, USA4
Institute of Systems and Robotics (ISR), University of Coimbra, Portugal4
School of Computer Science, Communication University of China, Beijing, 100024, China4
College of Computing, Georgia Institute of Technology, Atlanta, GA, USA4
Cognitive Systems Group, SFB/TR 8 Spatial Cognition, University of Bremen4
College of Electronics and Information Engineering, Sichuan University, Chengdu, China4
ChaLearn, California, USA4
School of ITEE, The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia4
School of Computer Science and Engineering, Center for Robotics, University of Electronic Science and Technology of China, Chengdu 611731, P.R. China4
Institute of VLSI Design, Zhejiang University, Hangzhou, China4
Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania4
EPFL, Lausanne4
Technische Universitat Muenchen, Garching bie Muenchen4
School of Electronic and Electrical Engineering, Shanghai Jiao Tong University, National Engineering Lab on Information Content Analysis Techniques, GT036001 Shanghai, China4
Centre for Imaging Sciences, The University of Manchester, Manchester, United Kingdom4
Institute of Imaging and Computer Vision, RWTH Aachen University, 52056 Aachen, Germany4
National Laboratory of Pattern Recognition, CASIA, University of Chinese Academy of Sciences, Beijing, 100049, China4
ISIR, CNRS UMR 7222, Universite Pierre et Marie Curie, Paris4
Media Recognition Laboratory, KDDI Research, Inc., Saitama, Japan4
Institute of Image Communication and Information Processing, Shanghai Key Labs of Digital Media Processing and Communication, Shanghai Jiao Tong University, Shanghai 200240, China4
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 60094
University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, ON, Canada, M5S 3G44
Key Laboratory of Work Safety Intelligent Monitoring, EE, BUPT, Beijing, P.R. China4
Institute of Mathematics and Statistics, University of São Paulo, Brazil4
Queen's University Belfast, Belfast4
Dept. of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra4
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98694, Germany4
Queensland University of Technology4
College of Computer Science and TechnologyZhejiang University4
SRI International, Menlo Park, USA4
School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China4
School of Computer Science and Engineering, South China University of Technology, China4
School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea4
Department of Computer Sciences, COMSATS Institute of Information Technology, Wah Cantt-Pakistan4
CVLab, EPFL, Lausanne, Switzerland4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China 1008764
University College Dublin, Dublin, Ireland4
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University4
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, 27695-7911, USA4
Politecnico di Torino, DAUIN, Italy4
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu, Beijing 100190, China4
School of Engineering, RMIT University, Melbourne, Australia4
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Vietnam4
Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon4
Grupo de Tratamiento de Imágenes, UPM, Madrid, Spain4
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China4
Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, Korea4
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong4
ICT-ISVISION Joint R&D Lab. for Face Recognition, Beijing, China4
Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, 710049 P. R. China4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R.China4
School of Electrical Engineering and Automation, Anhui University, Hefei, China4
University of Otago, Dunedin, New Zealand4
AGT International, Darmstadt, Germany4
Department of Radio Electronics, SIX Research Center, Brno University of Technology (BUT), Czech Republic4
Department of Electrical Engineering, University of Science and Technology, Tehran, Iran4
Research Center for Information Technology Innovation, Academia Sinica, Taiwan4
Science and Technology on Parallel and Distributed Processing Laboratory, School of Computer Science, National University of Defense Technology, Changsha, Hunan, P. R. China, 4100734
Department of Electrical and Computer Engineering, Air University, Islamabad, Pakistan4
School of Electronic and Information Engineering, Beijing Jiaotong University, No.3 Shang Yuan Cun, Hai Dian District, China4
Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA4
Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, 115 Taiwan4
National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China4
Institute of Image Communication and Network Engineering, Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China, 2002404
Xidian University, Xi’an, China4
Department of Electrical Engineering, Jadavpur University, Kolkata, India4
Biometric Recognition Group - ATVS, Escuela Politecnica Superior - Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain4
Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, 90089, USA4
National Institute of Standards and Technology, Gaithersburg, MD4
Computer Vision Group, Friedrich Schiller University of Jena, Germany4
School of Electrical Engineering and Informatics, Institut Teknologi Bandung4
State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijng, China4
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, and Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China4
Beijing Institute of Technology, Beijing, China4
School of Information Science and Engineering, Central South University, Changsha, China4
Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 145804
Ubiquitous Interactive Systems Group, LMU Munich, Munich, Bavaria, Germany4
Department of Electrical and Computer Engineering, University of Auckland4
University of Maryland, College Park, Maryland 20740 United States4
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece4
Idiap Research Institute - CH-1920, Martigny, Switzerland4
Max Planck Institute for Biological Cybernetics4
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, China4
National University of Defense Technology, Changsha, Hunan, China4
Science and Technology on Parallel and Distributed Processing Laboratory, School of Computer Science, National University of Defense Technology, Changsha, Hunan, China, 4100734
Department of Computer Science and Technology, Ocean University of China, China4
South China Normal University, guangzhou, China4
Dept. of Inf. Technol., Turku Univ., Finland4
Graz University of Technology4
University of Tunis, The National Higher school of engineers of Tunis (ENSIT), Laboratory of Signal Image and Energy Mastery, LR13ES03 (SIME), Tunis, Tunisia4
Department of Electronics Engineering, Kookmin University, Seoul, Korea4
Heilongjiang University, Harbin, China4
Department of Electrical and Computer Engineering, Clemson University, SC 29634, USA4
Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany4
School of Electrical Engineering, Tel-Aviv University, Israel4
Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney, Playa, Havana, Cuba4
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China4
School of Computer Science and Technology, Soochow University, Suzhou 215006, Jiangsu, China4
Dalian University of Technology, Dalian, Liaoning, 116024, China4
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS4
University of Sydney, Australian Centre for Field Robotics (ACFR), NSW, Australia4
Dept. of Computer Engineering, Keimyung University, Daegu, Korea4
Department of Cognitive Science, Xiamen University, Xiamen, Fujian, China4
Shandong University, Jinan, China4
Department of Electronics Engineering, Visvesvaraya National Institute of Technology, Nagpur, India4
College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China4
Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia4
Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany4
Brown University4
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences4
EECS Department, University of Kansas, Lawrence, KS4
Department of Computer Science, University of Colorado at Colorado Springs4
Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China4
University of Malta, Msida, Malta4
The University of Western Australia, Crawley, WA, Australia4
Institute of Electrical Control Engineering, National Chiao Tung University 1001 University Road, Hsinchu, Taiwan4
The Institute of Electronics, Communications and Information Technology (ECIT), Queens University Belfast, UK4
Dept of Electrical and Computer Engineering, University of Calgary, Calgary, CANADA4
Multimedia Signal Processing Group - MMSPG, Institute of Electrical Engineering - IEL, Ecole Polytechnique Fédérale de Lausanne - EPFL, CH-1015, Switzerland4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy4
School of Automation, China University of Geosciences, Wuhan, 430074, China4
Image and Video Systems Laboratory, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea4
School of Electronics and Information Engineering, Tongji University, Shanghai, China4
USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), School of Computer Science and Technology, University of Science and Technology of China, Hefei, China, 2300274
School of Mechatronic Engineering, UniMAP, Malaysia4
Department of Computer Science and Information Engineering, National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan4
Tsinghua University, Shenzhen, China4
LRTT, Unit Associe au CNRST (URAC 29), Faculty of Sciences, Mohammed V University-Agdal, Rabat, Morocco4
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea4
School of Engineering, RMIT University, Victoria 3083, Australia4
Department of Computer Science, Dartmouth College, Hanover, NH4
Department of Computer Science, The University of North Carolina at Chapel Hill, USA4
State University of New York at Binghamton, Binghamton, NY4
Beijing Normal Univeristy, Beijing, China4
University of Southampton, Southampton, United Kingdom4
Tencent AI Laboratory, Shenzhen, China4
Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina Del Rey, 90292, USA4
College of Computer and Information, Hohai University, Nanjing, China4
Technische Universität Berlin, Germany4
Image Processing and Analysis Laboratory (LAPI), University “Politehnica” of Bucharest, Romania4
College of Computer Science and Electronic Engineering, Hunan University, Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha, China4
Shenzhen University, School of Computer Science and Software, Shenzhen, P.R. China4
School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China4
Department of Computer Engineering, Rochester Institute of Technology, NY, USA4
“Gheorghe Asachi” Technical University, Iaşi, Romania4
Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, China4
Institute of Automation, Chinese Academy of Sciences, National Lab of Pattern Recognition4
Mechanical & Nuclear Engineering Department, Pennsylvania State University, University Park, 16802, USA4
College of Information System & Management, National University of Defense Technology, Changsha, China4
School of Mathematics and Physics, Anhui Jianzhu University, Hefei, China4
Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, The University of Sydney, Darlington, NSW, Australia4
Beckman Institute, Uni. of Illinois at Urbana-Champaign, Urbana, 61801, USA4
Department of Information and Technology, University of Science and Technology of China, Hefei, China4
Dept. of Computer Science and Technology, State Key Lab. of Intelligent Technology and Systems, Tsinghua National Lab. for Information Science and Technology, Tsinghua University, Beijing, China4
College of Information Science and Technology Beijing Normal University, Beijing, China4
Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K.4
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Pulau Pinang, Malaysia4
State Key Lab. LIESMARS, Wuhan University, 430079, China4
University of São Paulo, São Carlos, Brazil4
Institute for Neural Computation, University of Bochum, Germany4
Intelligent and Distributed Computing Laboratory, the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China4
The Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic4
Institute for Computer Research (University of Alicante).4
School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China4
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.4
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, ...4
University of Minnesota, Minneapolis, MN4
Yunnan Normal University, College of Information Science, Kunming, China4
Center for Automation Research, University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA4
Department of Electronic Engineering, Graduate school at Shenzhen, Tsinghua University, China4
Florida Atlantic University, I-SENSE4
College of Computer Science and Electronic Engineering, Hunan University, Changsha, China4
Department of Electronic Engineering, the Chinese University of Hong KongHong Kong4
Department of Electronic and Electrical Engineering, Pohang University of Science and Technology (POSTECH), South Korea4
University of Washington, Seattle, WA, USA4
Harbin Institute of Technology Shenzhen Graduate School, China4
Saitama Institute of Technology, Kogakuin University, Japan4
Department of Computer Science, Stanford University4
LIARA Laboratory, University of Quebec at Chicoutimi (UQAC), Boulevard de l'Université, Chicoutimi (Quebec), Canada4
Shaanxi Provincial Key Laboratory of Speech & Image Information Processing (SAIIP), School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, P. R. China4
Virginia Tech4
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana4
Philips Research, Eindhoven, Netherlands4
Computer Vision Laboratory, Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, SI-1000, Slovenia4
Columbia University, New York, USA4
School of Computer Science & Technology, Nanjing University of Science and Technology, China4
Center for Research in Intelligent Systems, University of California Riverside, 92521, US4
Department of Electronic Measuring systems, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia4
School of Computer Science and Software Engineering, The University of Western Australia 35 Stirling Highway, Crawley 6009, Western Australia, Australia4
Multimedia University, Melaka, Malaysia4
Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia4
Korea University, School of Electrical Engineering, Seoul, Republic of Korea4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China4
Department of Clinical, Educational & Health Psychology, University College London, London, Unithed Kingdom4
ECE Dept. and Digital Tech. Center, Univ. of Minnesota, Mpls, MN, 55455, USA4
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China4
KULeuven, Leuven, Belgium4
Control Methods & Robotics Lab, TU Darmstadt, Germany4
National University of Defense Technology University, College of Intelligent Science, Changsha, China4
Department of Microelectronics and Computer Science, Lodz University of Technology, Lodz, Poland4
SPS-VCA, TU/e, 5600 MB Eindhoven, the Netherlands4
INRIA Grenoble Rhone-Alpes, FRANCE4
NPU-VUB Joint AVSP Research Lab, School of Computer Science, Northwestern Polytechnical, University (NPU) Shaanxi Key Lab on Speech and Image Information Processing 127 Youyi Xilu, Xi’an, 710072, China4
Department of Electrical Engineering, Indian Institute of Technology, Kanpur4
University of Oulu, Machine Vision Group, PO Box 4500, 90014, Finland4
School of Information Science & Engineering, Lanzhou University4
IMAGO Research Group - Universidade Federal do Paraná, P.O. Box 19092, 81531-980, Curitiba - PR, Brasil4
School of Electrical and Computer Engineering, University of Seoul, Seoul, Korea4
Laboratoire d'Informatique de Traitement de l'information et des Systemes(LITIS) Avenue de l'Universite-BP08, 76801, Saint-Etienne du Rouvray, France4
Computer Science & Software Engineering The University of Western Australia 35 Stirling Highway, Crawley, WA, Australia4
Department of Electrical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan City, Taiwan4
Vicarious Perception Technologies, Amsterdam, The Netherlands4
School of Automation, Huazhong Univ. of Sci. & Tech., Wuhan, China4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China4
IC Design Group, CSIR-Central Electronics Engineering Research Institute, Pilani, Rajasthan, India4
University of Washington4
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China4
University of Pennsylvania, 3330, Walnut Street, USA4
College of Computer and Information, Hohai University, China4
The University of Texas at Dallas, Richardson, TX, USA4
Department of Computer Science and Engineering, University of California, San Diego, USA4
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK4
Dept. of Computer Science, National Tsing Hua University, Hsinchu, Taiwan4
Dept of ECE, Bannari Amman Inst of Technology, Sathyamangalam, Erode, India4
Universiti Kuala Lumpur, Kuala Lumpur4
Departments of Computer Science, Electrical and Computer Engineering and Biomedical Engineering, University of Houston, USA4
Institute for Computer Graphics and Vision, TU Graz, Austria4
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China, 5106414
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand4
BIWI, ETH Zurich4
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA4
PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory, Department of Electrical Engineering, School of Engineering and Cancer-Lab, Tropical Diseases Research Centre (CIET), Universidad de Costa Rica, San José, Costa Rica4
School of Computer Science, South China Normal University4
Department of Computer Science and Engineering, University of Nevada, Reno, USA4
Yahoo Research, San Francisco, CA, USA4
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Malaysia4
Department of Communications Engineering, Feng Chia University, Taichung, Taiwan4
Department of Computer Science, Zhejiang University, Hangzhou, China4
Università degli Studi dell'Insubria, Varese, Italy4
University of Miami, Coral Gables, FL4
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey4
Univ. Orléans, INSA CVL, PRISME EA 4229, Bourges, France4
School of Electrical and Electronic Engineering and ST Engineering - NTU Corporate Lab, Nanyang Technological University Singapore4
School of Computer Science University of Hertfordshire United Kingdom4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Slovak Republic4
School of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia4
School of Information Engineering, Zhengzhou University, China4
DII, University of Brescia, Brescia, Italy4
Army Research Laboratory, Computational and Information Sciences Directorate4
German Research Center for Artificial Intelligence, Kaiserslautern, Germany4
Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China4
University of Chinese Academy of Sciences, School of Engineering Sciences4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, Peoples Republic of China4
Osaka University, Osaka, Japan4
Department of Information and Control, B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China4
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany4
Institution of Intelligent Systems, College of Computer Science, Zhejiang University of Technology, Hangzhou, China4
School of Computer Science and Engineering University of Electronic Science and Technology of China, Chengdu, Sichuan, China4
Graduate University, Chinese Academy of Sciences, Beijing, China4
Institute of Computing Techonology, Chinese Academy of Sciences, Beijing, China4
Sharp Laboratories of America, Camas, WA4
School of Mechatronic Engineering, UniMAP, Perlis, Malaysia4
Department of Electrical and Computer Engineering, Center for Automation Research, University of Maryland, College Park, USA4
Institute of Computer Science and Technology, Peking University, Beijing, China, 1008714
ISTI-CNR, Via G.Moruzzi, Italy4
College of Automation, Harbin Engineering University, 150001, China4
State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China4
State Key Laboratory of Robotics and System, Harbin Institute of Technology, China, 1500804
Department of Electronics and Communication, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram, India4
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan4
National Chiao Tung University, Hsinchu, Taiwan4
Department of Geography Information Science, School of Geography Science4
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia4
Instituto Universitario SIANI, Universidad de Las Palmas de Gran Canaria - Spain4
National Robotics Engineering Center, Carnegie Mellon University Robotics Institute, Pittsburgh, Pennsylvania 152014
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812, 19 Bratislava, Slovakia4
College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia4
Department of Informatics, University of Oslo, Oslo, Norway4
University of São Paulo, São Paulo, Brazil4
North Carolina State University, Department of Electrical and Computer Engineering, Raleigh, United States of America4
Peking University, Beijing, P.R. China, 1008714
Department of Computer Science, University of Verona, Italy4
The City College, City University of New York, New York, NY, USA4
Dept. of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea4
School of Data Science and Software Engineering, Qing Dao University, Qingdao, China4
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea4
Aalborg University, Denmark4
Université de Bourgogne, Le2i UMR 5158 CNRS, 12 rue de la fonderie, 71200 Le Creusot, France4
Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany4
Eindhoven University of Technology, Eindhoven, The Netherlands4
School of Communication & Information Engineering, Shanghai University, Shanghai, China4
Intel Labs, Hillsboro, Oregon, USA4
National Engineering Research Center for Multimedia Software, Computer School, Wuhan University, Wuhan, China4
Smart Surveillance Interest Group, Department of Computer Science, Universidade Federal de Minas Gerais, Minas Gerais, Brazil4
State University of New York at Binghamton, Binghamton, NY, USA4
CEA LIST, Gif-sur-Yvette, France4
University of California, Riverside, CA-92521, USA4
Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France4
School of Information Engineering, University of Science and Technology Beijing, Beijing, China4
Faculty of Electrical Engineering, University of Ljubljana, Slovenia4
Faculty of Computer and Information Science, University of Ljubljana, Slovenia4
The University of Texas at Austin Austin, Texas, USA4
Computer Vision and Remote Sensing (CVRS) Lab, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, P.R. China4
School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China4
University of Alberta, Edmonton, AB, Canada4
Department of Computer Science and Engineering, University of Notre Dame4
Research Center of Intelligent Transportation Systems, School of Engineering, Sun Yat-sen University, Guangzhou Guangdong 510006, China4
Institute of Control Engineering of Tool Machines and Manufacturing Units (ISW), University Stuttgart, 70174, Germany4
Department of Computer Science, George Mason University, Fairfax, USA4
Nankai University, Tianjin, China4
Chongqing Key Laboratory of Software Theory & Technology, College of Computer Science, Chongqing University, China4
Microsoft Research, Redmond4
School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK4
Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway4
University of Texas at Arlington, Arlington, TX4
Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China4
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, Shaanxi, China4
Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany4
Department of Computer Science, University of Northern British, Columbia Prince George, BC, Canada4
Faculty of Engineering, Ain Shams University, Computer and Systems Engineering Department, Cairo, Egypt4
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.4
Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macao4
Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan4
RBCS Department of the Fondazione Istituto Italiano di Tecnologia, Genoa, 16163, Italy4
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences4
Intelligent Systems Lab, Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada4
VisionLab - Computer Vision Laboratory4
Department of Informatics, Aristotle University of Thessaloniki, BOX 451, 54124, Greece4
Goa University, India4
Max Planck Institute for Informatics, Saarland Informatics Campus, Germany4
Multimedia University, Malaysia4
Faculty of Engieering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia4
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Brazil4
College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China4
West Virginia University, USA4
Electrical and Information Engineering, Hunan University, Changsha, China4
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China4
Mathematical Modelling Research Group, Universidad EAFIT, Colombia4
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K.4
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China4
University of Sassari, Computer Vision Laboratory, Porto Conte Ricerche, Tramariglio, Alghero, Italy4
University of Kaiserslautern, Kaiserslautern, Germany4
Bilgisayar Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye4
University of Kentucky, USA4
Department of Computer Science, University of British Columbia, Vancouver, Canada4
CVSSP, FEPS, University of Surrey, Guildford, GU2 7XH, United Kingdom4
School of Software Engineering, Chongqing University, Chongqing, China4
Interactive Media Lab, Keio University, Japan4
Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan4
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan4
Academia Sinica, Institute of Information Science, Taipei, Taiwan4
Image and Video Systems Lab, School of Electrical Engineering, KAIST, South Korea4
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China4
Informatics Institute, University of Amsterdam, Amsterdam, WX, The Netherlands4
Digital Imaging Research Centre, Kingston University, U.K.4
Center for Automation Research, University of Maryland, College Park, MD, USA4
MBRDNA, Sunnyvale, USA4
Faculty of Engineering, Shinshu University, Japan4
Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania4
Computer Science and Engineering, Pennsylvania State University, PA, USA SiliconScapes, LLC, PA, USA4
Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China4
Department of Engineering and Technology, Kimmel School, Western Carolina University, Cullowhee, NC 28723 U.S.A.4
Institute for Infocomm Research, A*STAR, Singapore4
Comnuter Science Department, Hong Kong Baptist University4
CEA, LIST, Vision & Content Engineering Laboratory, Gif-sur-Yvettes, France4
Courant Institute of Mathematical Sciences, New York University, USA4
Department of Electrical Engineering, Rochester Institute of Technology, Rochester, NY4
Department of Electrical Engineering, Indian Institute of Science, Bangalore, India4
Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China4
INRIA, Sophia Antipolis, France4
Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049 Madrid, Spain4
University of British Columbia, Vancouver, Canada4
School of Electrical Engineering, Korea University, Seoul, Korea4
Perception and Intelligence Lab, Department of Electrical and Computer Engineering, ASRI, Seoul National University, South Korea4
Faculty of Computer Science, University of Freiburg, Freiburg, Germany4
Institute of Electrical Control Engineering, National Chiao Tung University, 1001 University Road, Hsinchu, Taiwan4
Duke University, Durham, NC, USA4
National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand4
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China4
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R. China, 1000444
Stanford University in the Computer Science department4
Department of Electronics, University of Alcalá, Alcalá de Henares, SPAIN4
Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China4
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, UK4
Open Lab, School of Computing, University of Newcastle, Newcastle upon Tyne, U.K.4
School of Electronics Engineering and Computer Science, Peking University, Beijing, China4
Dept. of Cognitive Science, Xiamen University, Fujian, China, 3610054
School of EEE, Nanyang Technological University, Singapore4
College of Mechatronic Engineering and Automation, National University of Defense Technology4
Media Integration and Communication Center - University of Florence, Italy4
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Sydney, NSW, Australia4
Department of Computer Engineering, Maharashtra Institute of Technology, Pune, India4
Dept. name of organization Electronics and Telecommunications Research Institute Daejeon, South Korea4
State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, China4
Auckland University of Technology, Auckland 1010 New Zealand4
School of Computer, National University of Defense Technology Changsha, China, 4100734
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
Information System Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt4
Graduate School of Informatics, Kyoto University Yoshida-Honmachi, Sakyo Ward, Kyoto 606-8501, Japan4
Department of Computer and Information Science, University of Macau, Taipa, Macau4
School of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, China4
School of Electronic Engineering, Xidian University, Xian, China4
Department of Environment Perception, Daimler AG, Böblingen, Germany4
Department of Engineering, University of Perugia, Italy4
Department of Transportation Engineering, Beijing Institute of Technology, 100081, China4
Korea University4
School of EECS, Queen Mary University of London, UK4
VISILAB Group, E. T. S. I. Industriales, University of Castilla–La Mancha, Ciudad Real, Spain4
School of Computer Science and Technology, Zhejiang University, China4
Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology, Beijing 100081, P. R. China4
Institute for Human-Machine Communication, Technische Univeritat Munchen, Arcisstr. 3, 80333, Germany4
Faculty of Computer Science, Universitas Indonesia, Indonesia4
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Japan4
Nanjing University of Science and Technology, Nanjing, China4
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China4
Bogazici University, Turkey4
Universidad de Vigo, Vigo4
Institute of Digital Media, School of Electronic Engineering and Computer Science, Peking University, Beijing, China4
Department of Electronics, Escuela Politécnica Superior, University of Alcala, Alcalá de Henares, Madrid, Spain4
Griffith University4
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA4
School of Electronic and Computer Engineering, Peking University4
Mechanical Engineering Department, Massachusetts Institute of Technology, Cambridge, MA, USA4
Computer Science and Engineering Department, Amity University Uttar Pradesh, Noida, India4
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, P.R. China4
Zenith Team, INRIA, LIRMM, Montpellier, France4
Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA4
Graduate Course in Computer Science, Pontifical Catholic University of Rio Grande do Sul, Brazil4
Samsung R&D Institute, Bangalore, India4
Yaroslavl State University, Yaroslavl, Russia4
Aristotle University of Thessaloniki, Thessaloniki, Greece4
Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong4
Computer Vision & Image Processing Laboratory (CVIP), Univ. of Louisville, KY, 40292, USA4
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China4
Sapienza University of Rome, Rome, Italy4
Open University of Catalonia, Barcelona, Spain4
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing city, Jiangsu, China4
Computer Science and Engineering Department, University of South Florida, Tampa, FL, USA4
NICTA and Australian National University4
Dept. of Automation, Tsinghua University, 100084, Beijing, China4
La Trobe University, Australia4
Beijing Key Laboratory of Intelligence Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876, China4
Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany4
Department of Computer Science, The University of Texas at San Antonio, San Antonio, TX, USA4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China4
Center for Reasearch on Intelligent Perception and Computing, CASIA, China4
Hewlett Packard Labs4
University of Utah4
School of Computer Science, China University of Geosciences, Wuhan, China4
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China4
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences4
Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India4
State Key Laboratory for Software Engineering, Wuhan University, Wuhan, 430079, China4
Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India4
Advanced Digital Sciences Center, Singapore, Singapore4
Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA4
Johns Hopkins University, Baltimore, USA4
Department of Computer Vision and Image Understanding, Institute for Infocomm Research, 1 Fusionpolis Way, #21-01 Connexis, Singapore 1386324
Center for Machine Vision and Signal Analysis (CMVS), Oulu, Finland4
University of Trento4
National ICT Australia and UNSW, Sydney, Australia4
Institute for Creative Technologies, University of Southern California4
College of Electrical and Information Engineering, Hunan University, Changsha, China4
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China4
School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, 116024, China4
Machine Intelligence and Robotics Research Group, School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, 6681, Porto Alegre, RS, 90619-900, Brazil4
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, korea4
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China4
Department of Computer Science and Technology, Tsinghua Lab of Brain and Intelligence Beijing National Research Center for Information Science and Technology, BNRist Lab Tsinghua University, 100084, China4
School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, U.K.4
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China4
Information Technologies Institute - Centre for Research & Technology Hellas, Thessaloniki, Greece4
Université Européenne de Bretagne, France, INSA de Rennes, IETR, UMR 6164, F-357084
Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA4
Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan4
School of Electrical and Electronics Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, SEOUL, Republic of Korea4
Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Automation Huazhong University of Science and Technology, Wuhan, 430074, China4
Institute of Information Technology, University of Dhaka, Bangladesh4
School of Information Science and Engineering, Southeast University, Nanjing, 210096, P.R. China4
RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil4
School of Information and Engineering, Minzu University of China, Beijing 100081, China4
School of Automation, China University of Geosciences, Wuhan, 430074, P. R. China4
Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France4
Institute for Infocomm Research, Singapore, Singapore4
Indian Institute of Information Technology Chittoor, Sri City, A.P., India4
Communication Networks Institute (CNI) Dortmund University of Technology, Germany4
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China4
School of Artificial Intelligence, Xidian University, Xi'an, 710071, China4
Department of Computer Science, City University of Hong Kong, Hong Kong, China4
Carnegie Mellon University, The Robotics Institute, 5000 Forbes Avenue, Pittsburgh, PA, USA4
School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India4
SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, France4
College of Electronics & Information Engineering, Tongji University, Shanghai, 201804, China4
Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Karachi, Pakistan4
Massachusetts Institute of Technology, Cambridge, MA4
College of Automation, Harbin Engineering University, Harbin, 150001, China4
University of Southampton, UK4
Southeast University, Nanjing, China4
Department of Electrical and Computer Engineering, George Mason University4
School of Electrical Engineering, KAIST, Daejeon, South Korea4
Department of Computer Science, University of Liverpool, L69 3BX Liverpool, United Kingdom4
Sabancı Üniversitesi, Turkey4
Dept. Engineering Science, University of Oxford, Oxford Robotics Institute, UK4
University of Oxford, UK4
University of Colorado Boulder, Boulder, CO, USA4
Division Architecture des Systmes et Multimedia, Centre de Developpement des Technologies Avancees, CDTA, Algeria4
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China4
Department of Computer Science, University of York, York, UK4
Intelligent Sensing and Communications Research Group, Newcastle University, UK4
Media Integration and Communication Center - University of Florence4
College of Information Science and Engineering, Northeastern University, Shenyang, China4
Hampshire, United Kingdom4
Computer Vision Lab, UMIACS, University of Maryland, College Park, College Park, 20740, USA4
School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, Scotland UK4
Austrian Institute of Technology, Donau-City-Straße 1, Vienna, Austria4
University of South Florida, Department of Computer Science and Engineering, Tampa, FL, USA4
Technical University of Cluj-Napoca4
School of Electrical Engineering and Computer Science, Queen Mary University of London, London, U.K.4
Department of Computer Science, Mangalore University, India4
IMAGO Research Group, Universidade Federal do Paraná, Curitiba-PR, Brazil4
Leiden University, Leiden, Netherlands4
TNO, The Hague, Netherlands4
College of Communications Engineering, PLA University, of Science and Technology, Nanjing, China4
Department of Computer Science, Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal4
HMI Lab, VNU Hanoi University of Engineering and Technology, Hanoi, Vietnam4
Delft University of Technology4
Computer Science Department, Reutlingen University, Cognitive Systems Group, Germany4
Department of Information Engineering, University of Brescia, Via Branze, 38 - 25123, Italy4
School of Software, Beijing Institute of Technology, Beijing, China4
Distributed and Collaborative Virtual Environments Research Laboratory, University of Ottawa, Ottawa, ON, Canada4
Visual Computing Group, Microsoft Research Asia, Beijing, China4
School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University4
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China3
Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangdong Engineering Research Center of Data Security and Privacy Preserving, College of Information Science and Technology, Jinan University, Guangzhou, China3
Institute of Computing, State University of Campinas, Campinas, Brazil3
Audio-Visual Information Processing Laboratory (VIPLAB), Graduate Program in Informatics - Computer Science Department, Pontifical Catholic University of Minas Gerais (PUC Minas)3
University of Maryland College Park, MD, 207403
Electronics Department, University of Alcalá (UAH), Alcalá de Henares, Spain3
Department of computer and communications engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia3
Innovation Lab, Tata Consultancy Services, New Delhi, India 2013013
German–Turkish Advanced Research Centre for Information and Communication Technology, Berlin, Germany3
Jiangsu Province Key Laboratory on Image Processing and Image Communications, Nanjing University of Posts and Telecommunications, Nanjing, China3
KTH Royal Institute of Technology, 100 44 Stockholm, Sweden3
Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Tao-Yuan, Taiwan3
Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR 7222, F-75005, Paris, France3
Intel Corporation, Hillsboro, OR, USA3
CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France3
School of Computer Science and Software Engineering, The University of Western Australia, Australia3
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China, Shanghai Key Laboratory of Digital Media Processing and Transmissions, Shanghai, China3
Face Aging Group, UNCW3
Universidade Nova Lisboa, Monte de Caparica, Portugal3
Department of Computer and Information Sciences, University of Delaware, Newark, DE 19716, USA3
Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, 100191, Beijing, China3
Pattern Recognition and Intelligent Systems Laboratory, Beijing University of Posts and Telecommunications, Beijing, China3
Politecnico di Torino, DAUIN, Torino, Italy3
The State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, Heilongjiang Province, China3
Technische Universität München, Germany3
Department of Mathematics and Informatics, University of Florence, Florence, Italy3
Signals and Images Laboratory, University of USTOMB, Oran, Algeria3
Institute of Automation, Chinese Academy of Science, 95 Zhongguancun East Road, 100190 Beijing, China3
ModiFace Inc., Toronto, Canada3
Department of Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Intel Corporation, Bangalore, India3
Intel Corporation, Nice, France3
School of Computer and Control Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China3
MIT, USA3
Valeo.3
Computer Science, Loughborough University, United Kingdom3
Departamento de Ingeniería Informática, University of La Laguna, Santa Cruz de Tenerife, Spain3
Department of Informatics, Technische Universität München, München, Germany3
Universidade Nova Lisboa, Lisboa, Portugal3
Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India3
Department of Electrical and Computer EngineeringCyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA3
National University of Defense Technology3
State Key Laboratory on Intelligent Technology and Systems, TNList, Department of Automation, Tsinghua University, Beijing, China, 1000843
Artificial Vision Laboratory, National Taiwan University of Science and Technology3
Graduate School of Electrical Engineering, University of Ulsan, Korea 680-7493
New York University Abu Dhabi & NYU Tandon School of Engineering, Abu Dhabi, Uae3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), Beijing, China3
ECE Department, Learning and Vision Laboratory, National University of Singapore, Singapore3
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ 08540, USA3
Intelligent Vision Research Lab, Department of Computer Science, Federal University of Bahia3
Multimedia Lab, The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Canada3
Università di Firenze - Italy3
Vision for Robotics Lab, ETH Zurich, Switzerland3
IAIR, Xi'an Jiaotong University, China3
Department of Media Technology, Linnaeus University, Vaxjo, Sweden3
Department of Electrical Engineering Mathematics and Computer Science, University of Twente, The Netherlands3
E-Comm Research Lab, Infosys Limited, Bangalore, India3
Robotics Research Center, International Institute of Information Technology, Hyderabad, India3
School of Electronic Engineering, Xidian University, Xian, Shaanxi, 710071, China3
Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam3
PARADISE Research laboratory, DIVA Strategic Research Network, University of Ottawa, Ottawa, Ontario, Canada3
PLA University of Science and Technology Nan Jing, China3
Singapore University of Technology and Design, Singapore3
Rutgers, The State University of New Jersey, Piscataway, NJ, 088543
Microsoft Research Cambridge3
DISCo, Universita degli Studi di Milano Bicocca, Milano, Italy3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, 44227 Dortmund, Germany3
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences3
Computer Science Department, Sanghvi Inst. of Mgmt. & Science, Indore, India3
Honda Research Institute Europe, Offenbach, Germany3
School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510006, China3
National Institutes of Health, Bethesda, Maryland 208923
College of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410082, China3
Data Mining and Text Mining Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu, India3
Electronics and Communication Department, National Institute of Technology, Rourkela, Odisha, 769008, India3
University of California, Riverside3
Department of Computer Science, Computational Biomedicine Laboratory, University of Houston, Houston, TX, USA3
Yunnan University, School of Software, Kunming, China3
Visual Media Computing Lab, Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus3
AEOP UNITE, Las Vegas, Nevada3
University of Nevada-Las Vegas, Las Vegas, Nevada3
Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia3
Department of Information and Computer Science - University of Trento via Sommarive 5, 38123 Trento - Italy3
The Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette, LA, USA3
The State Key Laboratory of ISN, School of Electronic Engineering, Xidian University, Xi'an China3
FZI Research Center for Information Technology, Mobile Perception Systems, Karlsruhe, 76131, Germany3
Hangzhou Dianzi University, School of Communication Engineering, Hangzhou, China3
Department of Computing, Curtin University, Perth WA, Australia3
SUNY Buffalo3
School of Engineering Technology, Purdue University, West Lafayette, IN, 47907, USA3
Harbin Institute of Technology, Harbin, P. R., 150001, China3
Department of Computer Science and Engineering, Michigan State University, East Lansing 48824, USA3
Department of Electronic Engineering, University of Electronic Science and Technology of China, 611731, Chengdu, Sichuan Province, China3
Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati, India-7810393
College of Automation, Nanjing University of Posts and Telecommunications, 210023, China3
State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
CNRS, LAAS, 7 av du colonel Roche, F-31400 Toulouse, France3
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil3
Electrical Engineering Department, Faculty of Engineering - Port-Said, Suez Canal University, Port Fouad 42523, Egypt3
Wuhan Univeristy, Wuhan, China3
School of Software, Huazhong University of Science and Technology, Wuhan, China3
School of Computer Engineering, Nanyang Technologicial University, Singapore3
IPLAB, Department of Mathematics and Computer Science, University of Catania, Italy3
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, P. R. China3
Laboratory of Computer Systems and Vision, Faculty of Science, Ibn Zohr University, Agadir-80000, Morocco3
National Laboratory of Pattern Recognition, Institute of Automation, Beijing, Chinese Academy of Sciences, China3
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China3
INRIA Sophia Antipolis - Méditerranée. 2004 Route des Lucioles - BP93, Sohpia Antipolis, 06902, France3
Electronic and Electrical Engineering Department, University College London, London, U.K.3
Life Sciences Division, Lawrence Berkeley National Laboratory, California, U.S.A.3
Department of Mechatronics Engineering and Automation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong Province, China3
School of computer Science & Engineering, South China University of Technology, Guang Zhou, China3
Research unit on Intelligent Control, design and Optimization of complex Systems (ICOS), University of Sfax, Sfax Engineering School3
Department of Civil and Environmental Engineering, KAIST, Daejeon, South Korea3
Visualization and Computer Vision Laboratory, General Electric Global Research Center, 1 Research Circle, Niskayuna, NY, 123093
Department of Computer Science, Georgia State University, P.O. Box 5060, Atlanta GA 30302-5060, USA3
Faculty of Mechanical, Maritime and Material Engineering BioRobotics Lab, Delft University of Technology, 2628 CD, The Netherlands3
The University of Newcastle, NSW, Australia3
Department of Industrial Systems Engineering and Management, Sembcorp-NUS Corporate Laboratory, Faculty of Engineering, National University of Singapore, Singapore3
EEIS Department, University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System3
PARADISE Research Lab, University of Ottawa, Canada3
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Tshwane, South Africa3
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA3
School of Computer and Information technology, Beijing Jiaotong University, China3
University of Central Lancashire, Preston, U.K.3
iCV Research Group, Institute of Technology, University of Tartu, Estonia3
ComS2IP Group, School of Electrical and Electronic Engineering, University of Newcastle upon Tyne, NE1 7RU, UK3
State Key Laboratory Integrated Services Networks, Xidian University, Xi’an, China3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast3
Department of Computer Science, The University of York, UK, YO10 5DD3
UCL Interaction Centre University, College London London, United Kingdom3
Mepco Schlenk Engineering College, Sivakasi, Virudhunagar, India3
Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA3
Department of Systems and Computing, Federal University of Campina Grande, Av. Apríigio Veloso, 882, 58429-900 Campina Grande, PB, Brazil3
Université de Lyon, CNRS, Université Lumière Lyon 2, LIRIS, UMR5205, France3
Department of Computing, Curtin University, Perth WA 6102, Australia3
Visual Geometry and Modelling (VGM) Lab, Istituto Italiano di Tecnologia, Genova, Italy3
Graduate School of Information, Production and systems, Waseda University, Fukuoka, Japan3
School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China3
Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon, Korea3
Department of Engineering Science, Active Vision Laboratory, University of Oxford, U.K.3
Computer Vision Lab., INHA University, Incheon, Korea3
National Laboratory of Pattern Recognition, Institute of Automation, Academy of Sciences, Beijing, China3
Department of Computing, Faculty of sciences, Ibn Tofail University, Kenitra, Morocco3
Electrical Engineering Department, Indian Institute of Technology, Patna, Bihta 8011033
Department of Automation, Xiamen University, Fujian Province, China, 3610053
Dept. of Electronic and Computer Engineering, National Taiwan University, Taipei, Taiwan3
Dept. Electrical Engineering and Computer Science, Niederrhein University of Applied Sciences, Krefeld, Germany3
Institute of Software, Chinese Academy of Sciences, Beijing, China3
Department of System Cybernetics, Robotics Laboratory, Hiroshima University, Hiroshima, Japan3
National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, China3
Laboratory for Intelligent and Safe Automobiles (LISA), University of California, San Diego, USA3
Department of Automation, Transilvania University of Brasov, Romania 5000243
Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, P. R. China3
LI3C Laboratory, Department of Electrical Engineering, University of Biskra, BP 145 RP, 07000 Biskra., Algeria3
Algılayıcılar, Görüntü ve Sinyal İşleme Grubu, HAVELSAN A.Ş. Ankara, Türkiye3
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 6th Km Charilaou-Thermi Rd, Thessaloniki, Greece 570013
Informatics Institute University of Amsterdam, Amsterdam3
Key Laboratory of Modern Teaching Technology, Ministry of Education, Xian, China3
CogInfoCom Based LearnAbility Research Group, University of Dunaujvaros, Dunaujvaros, Hungary3
Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea3
College of Information Science & Electronic Engineering, Zhejiang University, China3
College of Information and Control Engineering, China University of Petroleum(East China), Qingdao, China3
Education and Cultural Studies (COSPECS) University of Messina, Dept. for Cognitive Sciences Psychology, Messina, Italy3
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, P.R. China3
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu 610065, P. R. China3
Institute for Infocomm Research, 1 Fusionpolis Way, #21-01, Connexis Singapore 138632, Singapore3
Institute of Information Science, Beijing jiaotong University, Beijing, China3
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China3
Perception and Activity Understanding Group, Idiap Research Institute, Martigny, Switzerland3
Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India3
Computer Vision Laboratory - ETH Zurich3
School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Buk-Gu, Taegu 702-701, Republic of Korea3
DISI, University of Trento, Italy3
Dept. of Mediamatics, Delft Univ. of Technol., Netherlands3
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy3
1-1 Showa-cho, DENSO CORPORATION, Kariya, Aichi, 448-8661, Japan3
School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, New Zealand3
Department of Computer Science, Rutgers University, New Brunswick, NJ, USA3
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China3
Department of Computer Science, Xi'an Polytechnic University, China3
Bosch Corporate Research, Stuttgart, Germany3
Indian Institute of Technology Kharagpur, Kharagpur, India - 7213023
Department of Information Management, National Kaohsiung University of Science and Technology, Taiwan3
EPFL3
School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Shaanxi Province, China3
School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University , Melbourne, Australia3
Social Robotics Lab, Department of Computer Science, University of Freiburg, Germany3
Dept. of Audio Visual Technology, Technische Universitt, Ilmenau, Germany3
Visual Analysis of People, Aalborg University, Aalborg, Denmark3
School of Communication and Information Engineering, Shanghai University3
Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China3
Department of Mathematics, School of Science, Shanghai University, Shanghai, China3
Faculty of Computer Science and Engineering, HCMC University of Technology, Ho Chi Minn, Vietnam3
Department of Computer Science and Engineering, Via Sacchi, 3 - 47521 Cesena (FC) - Italy3
LRIT-CNRST URAC 29, Mohammed V University In Rabat Faculty of Sciences Rabat, Morocco. B.P. 1014 Rabat, Morocco3
Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan3
Department of Computer Science, Zhejiang Normal University, China3
Department of Computer Science, Tomsk Polytechnic University (TPU), Tomsk, Russia3
Insitute of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany3
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 6397983
College of Computer Science, Inner Mongolia University, Hohhot, China3
Department of Electronic Engineering, School of Engineering, Sogang University, Seoul 04107, Korea3
University of Miami, Department of Electrical and Computer Engineering3
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China3
Indian Institute of Technology, Kharagpur3
Computer Engineering Department, Sharif University of Technology, Tehran, Iran, 14588896943
Department of automation, USTC, Hefei, China3
EElS Department, University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, 230026, China3
Department of Computer and Information Sciences, University of Delaware, Newark, USA3
RITS Project-Team, INRIA Paris, Paris, France3
Xiamen University3
Cognitive Science department of Xiamen University, China3
CERTH-ITI, Thermi-Thessaloniki, Greece3
NTT Media Intelligence Laboratories, Tokyo, Japan3
Korea Advanced Institute of Science and Technology, School of Electrical Engineering3
Lab of Algorithm for Cognitive Model, School of Computer Science, Fudan University, Shanghai 200433, China3
Dept. of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan3
Institute of Information Engineering, CAS, State Key Laboratory of Information Security, Beijing, China3
Beijing National Research Center for Information Science and Technology (BNRist) Department of Electronic Engineering, Tsinghua University, Beijing, 100084, CHINA3
Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University3
Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University, Australia3
Georgia Institute of Technology, Atlanta, 30332-0250, USA3
AIT Austrian Institute of Technology, Vienna, Austria3
Advanced System Technology, STMicroelectronics, Agrate Brianza, Italy3
Morpho, Safran Group3
Siegwart are with the Autonomous Systems Lab, ETH Zürich, Zürich, Switzerland3
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, Brazil3
INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal3
Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria3
ADSPLAB/lntelligent Lab, School of ECE, Peking University, Shenzhen, 518055, China3
College of Mechatronics and Automation, National University of Defense Technology, Changsha, China, 4100733
School of Mechanical Engineeringand and Automation, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China3
Rice University3
Department of Research & Development, Extol MSC Berhad, Kuala Lumpur, Malaysia3
Intel China Research Center, Beijing, P. R. China3
Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran3
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
School of Information and Communications, Gwangju Institute of Science and Technology, 61005, South Korea3
Computational Vision Group, Department of Computer Science, University of Reading, UK3
School of Automation, Beijing Institute of Technology, Beijing, 100081, China3
Vision and Content Engineering Laboratory, CEA LIST, Gif-sur-Yvette, France3
Jawaharlal Nehru University, New Delhi - India3
Biometrics Engineering Research Center, Department of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea3
Information Security Research Division, Electronics and Telecommunications Research Institute, Daejeon, Korea3
University of Delaware, Newark, 19716, USA3
Stony Brook University, Stony Brook, NY 11794, USA3
School of Electrical Engineering and Computer Science, ASRI Seoul National University, Seoul, Korea3
INRIA Grenoble Rhone-Alpes, Grenoble, France3
Department of Computer Science, The University of York, Heslington, UK3
Department of CSE, Amity University, Uttar Pradesh, Sector 125, Noida, India3
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
University of Southern California, Institute of Robotics and Intelligent Systems, USA3
Image and Video Research Lab, Queensland University of Technology, 2 George Street, GPO Box 2434, Brisbane, QLD 4001, Australia3
School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China3
Ecole Centrale de Lyon, LIRIS, Lyon, France3
University of Pennsylvania, Philadelphia, PA 19104, USA3
Centro Universitario de la Defensa (CUD) and Instituto de Investigación en Ingeniería de Aragón (I3A), Zaragoza, Spain3
Kyushu University, Japan3
Computer Vision Laboratory, School of Information and Communications, GIST, Republic of Korea3
School of Computer Science & Software Engineering, Shenzhen University, China3
The Green Building Materials and Manufacturing, Engineering Research Center of Ministry of Education, Wuhan University of Technology, 430070, China3
South China University of Technology, China3
Shanghai Key Laboratory of Multimedia Processing and Transmissions, Shanghai Jiao Tong University, China3
Department of Electrical and Computer Engineering The University of Texas at Austin3
Shenzhen Key Laboratory of Broadband Network and Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China3
School of Electrical Engineering VIT University Vellore, India 6320143
School of Electronic Engineering, University of Electronic Science and Technology of China, ChengDu, SiChuan, China3
Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid, Spain3
United Technologies Research Center (UTRC), East Hartford, Connecticut, USA. now at Southern Illinois University, Carbondale, Illinois, USA3
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China3
School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070 China3
Aragon Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain3
Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Sydney, NSW, Australia3
Université de Lyon, Laboratoire d’InfoRmatique en Image et Systèmes d’information, Centre National de Recherche Scientifique 5205, Ecole Centrale de Lyon, France3
Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland3
Inha University, Incheon, South Korea3
HIT Campus of University Town of Shenzhen, Shenzhen, China PC: 5180553
Department of Computer Science and Engineering, Government College of Engineering Aurangabad, Aurangabad, India3
School of Computer Science, Center for Optical Imagery Analysis and Learning (OPTIMAL)3
Department of Computer Engineering, Boğaziçi University, Bebek, ıstanbul, Turkey3
Vidyalankar Institute of Technology, Mumbai3
German Research Center for Artificial Intelligence, DFKI Bremen, Robotics Innovation Center, Robert-Hooke-Strae 1, D-28359, Germany3
Australian Centre for Field Robotics University of Sydney, 2006, Australia3
School of Computer Engineering, Nanyang Technological University3
Department of Computer ScienceFace Aging Group Research Laboratory, Institute for Interdisciplinary Studies in Identity Sciences, University of North Carolina at Wilmington, Wilmington, NC, USA3
Department of Mathematics, Duke University, U.S.A.3
University of Augsburg, Augsburg, Germany3
Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China3
MOE Key Lab for Intelligent Networks and Network Security, School of Electonics and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China3
Dept. of Automation Science and Engineering, South China University of Technology, Guangzhou, China3
Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal, India3
School of Communication and Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, PR China3
Biometric Recognition Group—ATVS, Universidad Autonoma de Madrid, Madrid, Spain3
Technical University of Iaşi, Faculty of Electrical Engineering3
Information Center of the General Administration of Quality Supervision Inspection and Quarantine of the People's Republic of China, Beijing, China3
IBM Research India3
Department of Computer Science and Engineering, DIU Human Computer Interaction Research Lab (HCI RL), Daffodil International University3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China3
Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China3
Department of Computer Science and Engineering, Visual Learning and Intelligence Group, IIT Hyderabad, Hyderabad, India3
Department of Communications and Computer Engineering, University of Malta, Msida, Malta3
University of Oulu, Finland, Oulu, Finland3
Hardware and Embedded Systems Lab, Nanyang Technological University, Singapore3
Center for Automation Research, UMIACS University of Maryland, College Park, MD 207423
Department of Computer Science and Engineering, University of Bologna, Cesena, Italy3
Key Laboratory of Machine Perception Shenzhen Graduate School, Peking University, China3
Universität Passau, Passau, Germany3
Institute for Human-Machine Communication Technische Universitat Munchen, Germany3
Centre for Quantum Computation & Information Systems, Faculty of Engineering and IT, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW, Australia3
Samsung Research Center-Beijing, SAIT China Lab Beijing, China3
Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau3
College of Automation, Harbin Engineering University, Heilongjiang Province, 150001, China3
Dept. School of Information Science and Engineering, East China University of Science and Technology Shanghai, China3
LIFL (UMR Lille1/CNRS 8022) Telecom Lille1, Université de Lille1, France3
EURECOM Sophia Antipolis, France3
LAAS-CNRS, INSA, Université de Toulouse, CNRS, Toulouse, France3
State Key Laboratory of Industrial Control Technology, Zhejiang University, Zheda Road 38, Hangzhou, 310027, China3
Computer Science Department, Technical University of Cluj-Napoca, Image Processing and Pattern Recognition Group, Romania3
Department of Electrical and Computer Engineering, American University of Kuwait3
GE Global Research3
Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China3
Pohang University of Science and Technology, Pohang3
Machine Vision Group, Computer Science and Engineering Laboratory, University of Oulu, P.O. Box 4500, FI-90014, Oulu, Finland3
IntelliView Technologies Inc., Calgary, AB, Canada3
Department of ECE, Delhi Technological University, Delhi, India3
MindLAB Research Group, Universidad Nacional de Colombia, Colombia3
Dept. of Information Technology, Madras Institute of Technology, Anna University, Chennai, India3
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada3
National University of Science & Technology, (NUST), College of EME, Rawalpindi, Pakistan3
Guangdong University of Technology, China3
P.G. Department of Computer Science and Engineering, SGB Amravati University, Amravati (M.S.), India3
Department of Computer Engineering, American University of Sharjah (AUS), Sharjah, United Arab Emirates3
Laboratory of Electronics and Information Technology (LETI), National Engineering School of Sfax, Sfax, B.P.W.3038, Tunisia3
Department of Computer Science, Vogt-Koelln-Strasse 30, 22527 Hamburg - Germany3
Carnegie Mellon University, Pittsburgh, PA 15213, USA3
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, P. R. China3
University Ca' Foscari, Venezia Mestre, Italy3
Department of Computer Science, University of Massachusetts Amherst, Amherst MA, 010033
Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, 166 27 Prague 6, Technická 2 Czech Republic3
CSE, School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India3
Computer Laboratory, University of Cambridge, United Kingdom3
Indian Institute of Technology Delhi, New Delhi 1100163
Robotics and Computer Vision Research Laboratory, ADSIP Research Centre, School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK3
DISI, Università di Genova, Italy3
INRIA Rocquencourt, France3
Laboratoire d’imagerie, de vision et d’intelligence artificielle École de technologie supérieure, Université du Québec, Montréal, Canada3
School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, China3
Idiap Research Institute, and the School of Electrical Engineering, Swiss Federal Institute of Technology in Lausanne (EPFL), Martigny, Switzerland3
Shenzhen Graduate School, Peking University, China3
Institute of Automotive Engineering, Jiangsu University, China3
Center for Research of E-life DIgital Technology (CREDIT), Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan3
Department of Computer Engineering, Kyung Hee University, Yongin, Gyonggi, Korea3
Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea3
Center for Research in Intelligent Systems, University of California, Riverside Winston Chung Hall 216, Riverside, CA, 92521-0425, USA3
Department of Electronics, Telecommunications and Information Technology, Polytechnic University of Bucharest, Romania3
Data Management and Biometrics Group, Faculty of EEMCS University of Twente, Enschede, AE, 7500, The Netherlands3
Institute of Computational Science, University of Lugano, Switzerland3
Hanoi University of Science and Technology, Hanoi, Vietnam3
HKUST-DT System and Media Laboratory, Hong Kong University of Science and Technology, Hong Kong3
Faculty of Information Engineering, Guangdong University of Technology, Guangzhou, China, 510063
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Korea3
Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India3
Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy3
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai, 200240, China3
North Carolina A&T State University, Greensboro, NC3
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China3
Cognitive Science Department of Xiamen University, Fujian Key Laboratory of the Brain-like Intelligent Systems, China3
School of Computing and Communication, Infolab21, Lancaster University, LA1 4WA, United Kingdom3
School of Computing, Universitas Telkom, Multimedia Laboratory, Bandung, West Java, 402573
Parallel processing image. Computer Engineering Department, Electrical and Computer Faculty. Tarbiat Modares, Tehran, Iran3
Istanbul Technical University, Computer Engineering Dept., 34469, Maslak, Turkey3
School of Microelectronics, Shanghai Jiao Tong University, Shanghai, China, 2002403
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
School of physics and engineering, Sun Yat-Sen University, GuangZhou, China3
AdViSe Technology Center, KU Leuven Department of Industrial Engineering Sciences, Germany3
University of Louisville, KY, USA3
British Malaysian Institute, Universiti Kuala Lumpur, Selangor3
Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Leganés, Spain3
School of Electrical Engineering and the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology, Atlanta, GA 30308, USA3
The School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Surface Robotics Lab, Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur - 713209, West Bengal, India3
Faculty of Robot Science & Engineering, Northeastern University, Shenyang, 110819, China3
Department of Computer Science, National Tsing Hua University, Taiwan, R.O.C3
School of Electronics and Information Engineering, Tianjin University, Tianjin, China3
State Key Laboratory of Software Development Environment, Department of Computer Science and Engineering, Beihang University, Beijing 1001913
School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea3
Dept. of Computer Science, University of Calgary, AB, Canada3
Oak Ridge National Laboratory, USA3
Osaka University, Toshiba Corporation3
Center for Brains, Minds and Machines, McGovern Institute for Brain Research, MIT, Cambridge MA 02139, U.S.A.3
Technicolor Research and Innovation, Cesson-Sévigné, France3
Department of Electrical Engineering University of Windsor, 401 Sunset Ave, Windsor, ON, Canada3
Beijing institute of technology, China3
Graduate School of Science and Technology, Kumamoto University, Japan3
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
The University of Hong Kong, Hongkong, China3
Yonsei University, Seoul, Rebublic of Korea3
LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco3
Signal Processing and Speech Communication Lab, University of Technology, Graz, Austria3
Computational Vision Group, School of Systems Engineering, University of Reading, UK3
Department of Electronics, University of Kent, Canterbury, UK CT2 7NT3
RWTH Aachen University, Germany3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43 (FR) - Italy3
School of Software Engineering, Tongji University, Shanghai 201804, China3
Dept. of CS&E, IIT Madras, India3
School of Engineering and Digital Arts, University of Kent Canterbury, Kent, United Kingdom3
Department of Computer Science, George Mason University, Fairfax, VA 22032, USA3
Department of Telecommunication Engineering, Beijing Information Science and Technology University, Beijing, China 1001013
University of Maryland, Baltimore County, Baltimore, MD, USA3
Department of Electrical and Computer Engineering, University of Denver, CO, USA3
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Vietnam3
GIPSA-Lab, Grenoble, France3
Institution of information Science, Beijing Jiaotong University, Beijing, China3
School of Automation, Southeast University, Nanjing 210096, China, Key Laboratory of Measurement and Control of CSE, Ministry of Education3
Computer Vision Center, Campus UAB, O-08193, Barcelona, Spain3
Department of Computer Science, Rutgers University, NJ, USA3
Harman International Industries, India3
Institute of Software, College of Computer, National University of Defense Technology, Changsha, Hunan, China, 4100733
Computer Vision and Image Processing Lab, Institute for Integrated and Intelligent Systems, Griffith University, Australia3
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology3
George Mason University, Fairfax, VA 22030, USA3
Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden3
Kulliyyah of Information & Communication Technology International Islamic University Malaysia Kuala Lumpur, Malaysia3
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, USA3
University of Oulu: Finland, Oulu, Finland3
Institute of Space Science, Bucharest, ISS, Romania3
LIFL UMR Lille 1-CNRS n 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d'Ascq, France3
University of St Andrews3
Graduate Institute of Electrical Engineering, National Taiwan University, Taipei, Taiwan3
Department of Electrical Engineering Indian Institute of Technology Kanpur, India - 2080163
Electronic Engineering Department, Tsinghua University, Beijing, China3
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi3
AltumView Systems Inc., Burnaby, BC, Canada3
Central China Normal University, Wuhan, China3
REsearch Groups on Intelligent Machines, University of Sfax, Soukra street, B.P. 1173, 3038, Sfax, Tunisia3
Department of Electrical Engineering & Electronics, University of Liverpool, UK3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, 41121 MO, Italy3
CES Research Laboratory, National Engineering School of Sfax, University of Sfax, Tunisia3
School of Computer Science, Fudan University3
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China3
GREYC Laboratory, ENSICAEN - Université de Caen, Basse-Normandie - CNRS3
Graduate School of Information, Production and System, Waseda University, Japan3
Center of Informatics, Federal University of Pernambuco, Recife, Brazil3
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen3
NICTA3
Key Laboratory of Measurement and Control of CSE, Southeast University, Nanjing, China3
School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA3
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China3
University of North Carolina, Charlotte3
Electrical Engineering Pennsylvania State University3
Electrical and Computer Engineering Johns Hopkins University3
Video Analytics Lab, SERC, Indian Institute of Science, Bangalore, India3
Computer Science Department, Central University of South Bihar3
Qatar Computing Research Institute, HBKU, Doha, Qatar3
IBM T.J. Watson Research Center, USA3
The Pennsylvania State University, USA3
Institute of Systems Science, Northeastern University, Shenyang, Liaoning Province, China3
Certis Lab, ENPC ParisTech, France3
University of Miami, USA3
School of Computer Science and Technology, Nanjing Normal University, Nanjing 210046, China3
University of Toulouse, Toulouse, France3
Victoria University, Melbourne, Australia3
Faculty of Engineering and Information Technology, INTI International University, Nilai, Malaysia3
Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA3
Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Center for Research on Intelligent Perception and Computing3
University of Melbourne, Parkville, Australia3
National Laboratory of Pattern Recognition & University of Chinese Academy of Sciences, Beijing, China3
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China3
Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida 326013
College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, China3
Centre of Visual Computing, Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Selangor, Malaysia3
Certis, Lab, ENPC ParisTech, France3
Australian National University (ANU), Australia3
School of Electrical and Computer Engineering, University of Seoul, Korea3
Samsung Research and Development Institute Bangalore Pvt Ltd., Bangalore, India3
Inst. of Autom., Shanghai Jiao Tong Univ., China3
Graduate School of Integrated Design Engineering, Keio University, Kanagawa, Japan3
Dept. of Comput. Sci., Sao Paulo Univ., Brazil3
Video Processing and Understanding Lab, Universidad Autónoma de Madrid, Madrid, Spain3
School of Computer Science and Technology, Nanjing University of Science and Technology, 210094, China3
Research Center of Intelligent Robotics Shanghai Jiao Tong University, Shanghai, 200240, P.R. China3
Automation Department, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China3
Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences3
The University of Tennessee, Knoxville, Tennessee, 379963
Departamento de Seguridad y Defensa, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador3
School of Healthcare Science Manchester Metropolitan University, UK, M1 5GD3
School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, Jinan, China3
Department of Information system Science, Graduate School of Engineering, Soka University, Hachioji-Shi, Tokyo, Japan3
GREYC, Universite of Caen, Caen, France3
Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal3
Visualisation Group, University of Warwick, Coventry, UK3
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China3
Department of Electrical Engineering, Indian Institute of Technology at Kanpur, Kanpur, India3
Instrumentation, IT and Systems Lab IRSEEM Rouen, FR3
Centre of Informatics, Federal University of Pernambuco, Recife-PE, Brazil. Bruno J. T. Fernandes is also with the Polytechnic School, University of Pernambuco, Brazil3
Graduate School of Information Science, Nagoya University, Aichi, Japan3
Shanxi University, Shanxi Province, China3
Computer Vision Laboratory, ETH Zurich, Sternwartstrasse 7, 8092, Switzerland3
Microsoft Corporation, Redmond, WA, USA3
Dept. of Inf., Aristotle Univ. of Thessaloniki, Greece3
Department of Electrical and Computer Engineering, Peking University, Beijing, China3
Department of electronic engineering, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China3
School of Information and Communications, Gwangju Institute of Science and Technology, Buk-Gu, Gwangju, South Korea3
Faculty of Engineering and Information Technology, University of Technology, Sydney3
Visual Analysis of People (VAP) Laboratory, Rendsburggade 14, Aalborg University, 9000 Denmark3
Mie university, Mie, Japan3
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA3
Universidade Federal de Minas Gerais (UFMG), Brazil3
Computer Vision and Geometry Lab, ETH Zürich, Switzerland3
AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, 1220 Vienna, Austria3
Department of Electrical and Computer Engineering, Boston University, 8 Saint Mary's St., Boston, MA USA 022153
Dept. of Electrical and Computer Engineering, University of Dayton, OH, USA3
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, CA, USA3
Human-Machines Interaction (HMI) Laboratory, Dept. of Industrial Informatics, TEI of Kavala, Agios Loukas 65404, Greece3
IT - Instituto de Telecomunicações, University of Beira Interior, Portugal3
Sloan School of Management and Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA3
Thiagarajar College of Engineering, Madurai, Tamilnadu, India3
Thundercloud Research Lab, Faculty of Info. Science & Technology (FIST) Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia3
Image Processing and Analysis Laboratory, University “Politehnica” of Bucharest, Romania3
Center for Cognitive, Connected & Computational Imaging, College of Engineering & Informatics, NUI Galway, Ireland3
University of Tübingen, Tübingen, Germany3
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences3
Computer Vision Lab, Sungkyunkwan University Suwon, South Korea3
Sapienza University of Rome3
CyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA3
ECSE Department, Rensselaer Polytechnic Institute, Troy, USA3
Chongqing University of Posts and Telecommunications Chongqing, China3
City University of Hong Kong3
LIRIS, École Centrale de Lyon, UMR5205, F-69134, France3
Electrical Engineering Department and Advanced Mining Technology Center, University of Chile Santiago, Chile3
MIT Lincoln Laboratory3
National Laboratory of Pattern Recognition, Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China3
Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Košice, Slovakia3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43, (FR) - Italy3
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China3
School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India3
Dept. of Electrical Engineering and Information Technology, GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany3
Department of Engineering Science, University of Toronto, Toronto, Canada3
Department of Computer Science and TechnologyState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China3
Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia3
Department of Electronic Systems, Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania3
Venue Maps Department, HERE North America LLC, Chicago, IL, USA3
Department of Electrical Engineering, The City College, The City University of New York, NY, USA3
Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China3
Department of Information Technology, SSN College of Engineering, Chennai, India3
Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, 21945-970 CEP, Brazil3
Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China3
University of California San Diego, United States of America3
Movidius Ltd. 1st Floor, O'Connell Bridge House, D'Olier Street, Dublin, Ireland3
Department of Psychology, University of Pittsburgh, PA, 15260, USA3
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China3
Department of Computer Science, University of Northern British Columbia, Canada3
S.P.I.T., Mumbai3
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA3
Temasek Laboratories, National University of Singapore, 117411 Singapore3
Hewlett-Packard Labs3
Imperial College London, London, U.K.3
Institute of Control and Information Engineering, Poznan University of Technology, Poznan, 60-9653
Faculty of Science and Technology University of Macau Macau SAR, China3
Universitat Heidelberg, Heidelberg, Germany3
Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain3
Bilgisayar Mühendisliği Bölümü, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye3
Graduate School of System Design Tokyo Metropolitan University Tokyo, Japan3
Graduate School of Computer and Cognitive Sciences, Nagoya, Japan3
Informatics Engineering Dept., Engineering Faculty, Mataram University, J1. Majaphit 62 Mataram Lombok, Indonesia3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China3
Department of Computer, Qaemshahr Branch, Islamic Azad University, Iran3
Daimler AG, Wilhelm-Runge-Str. 11, Ulm, 89081, Germany3
Unmanned System Institute, National University of Defense Technology, Changsha, China3
Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China3
Oregon State University, Corvallis, OR 97331, USA3
School of Electrical Engg. & Comp. Science, National University of Sciences and Technology, Pakistan3
Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, India3
Halmstad Univ., Sweden3
Peking University, China / Shanghai Jiao Tong University, China3
School of Software, Jiangxi Normal University, Nanchang, China3
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124, Greece3
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, China3
Department of Computer Science, Independent University Bangladesh, Dhaka, Bangladesh3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China3
CAS University of Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China3
Image Processing Group, Universidad Politécnica de Madrid, Madrid, Spain3
School of Electrical Engineering and Computer Science, DIVA Strategic Research Network, University of Ottawa, Ottawa, ON, Canada3
Department of Electronics, AGH University of Science and Technology, Kraków, Poland3
University of Luxembourg, Luxembourg3
Dept. of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, China3
Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA3
Federal University of Technology - Parana, Brazil3
University of Wollongong, Australia3
Automated Reasoning and Cognition Key Laboratory of Chongqing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China3
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA3
Department of Electronics, University Alcalá, Madrid, Spain3
MPI Informatics, Saarbrücken3
Department of Measurement & Control, University of Kassel, Kassel, Germany3
Graduate Institute of Automation and Control, National Taiwan University of Science and Technology, Taipei, Taiwan3
The University of Auckland, Auckland, New Zealand3
Center for Biometric Authentication & Testing, Chinese Acad. of Sci., Beijing, China3
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA3
Department of Molecular, Cellular, and Developmental Biology, University of California Santa Barbara3
School of Electrical & Electronic Engineering, Yonsei University, Biometrics Engineering Research Center, 134 Shinchon-dong, Seodaemun-gu, Seoul, Republic of Korea, 120-7493
School of Computing, The University of Leeds, United Kingdom3
ETH Zürich3
Elektronik Mühendisliği Bölümü Ankara Üniversitesi, Ankara, Türkiye3
Victoria University of Wellington3
School of Science and Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil3
Naval Aeronautical and Astronautical University, Department of Electronic and Information Engineering3
Adobe Research, San Jose, CA 95110, USA3
BMS College of Engineering, Bangalore, INDIA3
Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China3
Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China3
Institute of Image Transmission and Information Processing, Shanghai Jiao Tong University, Shanghai, China3
University of Jinan, Jinan City3
Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, Jiangxi, 330013, China3
Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic3
Visual Analysis of People (VAP), Aalborg University, Rendsburggade 14, Denmark3
Laboratory of Inverse Problems, Modeling, Information, and Systems (PI:MIS), Department of Electronics and Telecommunications, University of May 08 1945, B.P box 401, Guelma 24 000, Algeria3
Department of Radiation Oncology, Stanford University, Stanford, CA, USA3
College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China3
Department of CS and IT, Dr. B A M University, Aurangabad, (MH), India3
Dept. of CSE, SUST Sylhet, Bangladesh3
Deniz Harp Okulu, Turkey3
School of Computing and Communication, Lancaster University, Lancaster, U.K.3
C & C Innovation Research Labs, NEC Corporation, Nara, Japan3
Fuzhou University, Fuzhou, Fujian, China3
Mines-Télécom/Télécom Lille, CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France3
University of Wisconsin - Madison3
School of Mechanical and Automotive Engineering, South China University of Technology, GuangZhou, China3
Monash University3
School of Electronic Engineering and Computer Science, Queen Mary University of London, E1 4NS, United Kingdom3
Institute of Imaging and Computer Vision, RWTH Aachen University, Templergraben 55, 52056, Aachen, Germany3
Electronics and Telecommunications Research Institute, Daejeon, South Korea3
Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA3
Robotics Research Center, IIIT Hyderabad3
Computer Science, Duke University, USA3
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, People’s Republic of China3
Department of Electrical and Computer Engineering, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA3
Key Lab of Intel. Inf. Proc, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China3
Autonomous University of the State of Mexico, Toluca, Mexico3
Southwest Jiaotong University, Chengdu, China3
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China, 6117313
School of Electronics and Computer Science, University of Southampton, UK3
Dipartimento di Informatica, Università di Milano, Via Comelico 39/40, 20135, Italy3
Texas A8M University, TX, USA3
GRASP Lab, University of Pennsylvania, 3330 Walnut Street, 19104, Philadelphia, USA3
Research Concentration in Speech, Audio and Video Technology, School of Electrical and Electronic Systems Engineering, Queensland University of Technology, Australia3
Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy3
Department of Electronics, University of Alcalá, Madrid, Spain3
Daimler AG, Research and Development. Ulm, Germany3
Embedded Systems Laboratory, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland3
University of Freiburg, Freiburg, Germany3
School of Information Technologies, University of Sydney, Australia3
University of Information Technology, Department of Knowledge Engineering and Machine Learning, Ho Chi Minh city, Vietnam3
IBM T. J. Watson Research, Yorktown Heights, NY, USA3
Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania3
Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany3
ATR Key Laboratory, Shenzhen University, Shenzhen, China3
Department of Electrical Electronic engineering, Yonsei University, 50 Yonseiro, Seodaemungu, Seoul, South Korea3
Departament de Ciències de la Computació and the Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Spain3
ANU (Australian National University), Australia3
Institute for Network Sciences and Cyberspace (INSC), Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, 100084, China3
Department of Computer Science, University of Brasilia, DF 70910-900 Brazil3
Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan3
Department of Electrical and Electronics, National Institute of Technology Surathkal, Mangalore, India3
School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan3
Beijing University of Posts and Telecommunications, No. 10, Xitucheng Road, Haidian District, Beijing, PR China3
Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China3
School of Engineering, Griffith University, Nathan Campus, QLD 4111, Australia3
Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore3
Institute for Electronics, Signal Processing and Communications, Otto-v.-Guericke University, Magdeburg, Germany3
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligence Telecommunication Software and Multimedia, Beijing, China3
Computer Aided Medical Procedures, Technische Universität München, Germany3
Department of Computer Science and Technology, Harbin University of Science and Technology, China3
University of sciences of Monastir, Monastir, Tunisia3
2012 Labs, Huawei, Bangalore, India3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10 000, Croatia3
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil3
Institution of information Science, Beijing Jiaotong University, Beijing 100044, P.R. China3
Dept. of Computer Science, U. of Southern California3
CRIPAC & NLPR, Institute of Automation Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China3
University at Buffalo, The State University of New York, Buffalo, NY 14203, USA3
Machine Perception Laboratory, University of California San Diego, USA3
University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia3
Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China3
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 4100733
West Virginia University, PO Box 6201, Morgantown, West Virginia 265063
College of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China3
KULeuven, EAVISE3
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 300133
Islamic Azad University, Karaj Branch, Computer Engineering Department, Daneshgah St, Rajaee Shahr, Iran3
Bioinformatics Institute, A∗STAR, Singapore3
Department of Computer Science, University of Hamburg, Germany3
Department of Haematology, University of Cambridge, Cambridge, United Kingdom3
Computer Aided Medical Procedures, Technische Universitaet Muenchen, Munich, Germany3
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, CAS, Beijing 100190, China3
Environment Perception, Daimler R&D, Sindelfingen, Germany3
Shanghai Jiao Tong University, Institute of Image Communication and Network Engineering3
Jaguar Land Rover, Engineering Centre, Coventry, UK3
Department of Computer Science, University of Warwick, Coventry, UK3
Biometrics Engineering Research Center (BERC), Yonsei University, Seoul, South Korea3
Postgraduate Program in Computing State University of Maringá, Avenida Colombo, 5790, Maringa - Parana - Brasil3
Azbil Corporation 1-12-2, Kawana, Fujisawa-shi, 251-8522, Japan3
Graduate School of Information Sciences, Tohoku University, 6-6-05., Aramaki Aza Aoba., Sendai-shi., 980-8579., Japan3
PRISME laboratory, 12 rue de Blois, F-45067 Orleans Cedex2, France3
Beijing University of Posts and Telecommunications, Beijing, P.R. China, 1008763
Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, Guangdong 518055, China3
Ecole Polytechnique Fédérale de Lausanne, Lausanne3
School of Mechanical and Electric Engineering, Guangzhou University, China3
Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany3
Department of Computer Science, University of Southern California, Los Angeles, California 900893
School of Telecommunications Engineering, Xidian University, Xi’an, China3
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China3
School of Mathematics, Statistics and Computer Science, UKZN, Durban, South Africa3
National University of Defense Technology, Hunan Changsha, China3
Department of Electrical Engineering, and Advanced Mining Technology Center, Universidad de Chile Av. Tupper 2007, Santiago, Chile3
Department of Information Science and Engineering, Changzhou University, Changzhou, China3
Department of Computer Engineering, University of Kashan, Iran3
Dept. of ECE, SVEC, Tirupati, AP3
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia3
Purdue University, West Lafayette, IN, USA3
University of Girona, ATC, Girona, Spain3
Department of Computer ScienceMultimedia Processing Laboratory, National Tsing Hua University, Hsinchu, Taiwan3
School of Computing, Engineering and Mathematics, Western Sydney University, Locked Bag 1797, Penrith NSW 2751, Australia3
Department of Electronic Engineering, Inha University, Republic of Korea3
School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, India3
Texas State University-San Marcos3
Department of Electronic Science & Technology, School of Information Science & Technology, East China Normal University, No. 500, Dongchuan Road, Shanghai 200241, China3
Australian Centre for Field Robotics, University of Sydney, Sydney, NSW, Australia3
The Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213 USA3
Institute for Human-Machine Communication, Technische Universität München3
CVIT, KCIS, IIIT Hyderabad, India3
Department of Electronics & Computer Engineering, Chonnam National University, Gwangju, South Korea3
Polish-Japanese Academy of Information Technology R&D Center, Warsaw, Poland3
Faculty of Electronics, Wroclaw University of Science and Technology, Wroclaw, Poland3
Face Aging Group, Computer Science Department, UNCW, USA3
Department of Computer Science and Engineering - Aalto University - Espoo, Finland3
Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, U.K.3
Indian Institute of Information Technology at Allahabad, Allahabad, India3
City University of New York, New York, NY, USA3
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China3
Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany3
Institute of Computer Science University of Goettingen, Data Fusion Group, Germany3
Signal Processing Research Group Electrical and Computer Engineering Department, Yazd University Yazd, Iran3
Faculty of Information Technology, University of Technology, Sydney, Australia3
INRIA Grenoble Rhône-Alpes, Saint Ismier, France3
Stanford University, Palo Alto, CA, USA3
FZI Research Center for Information Technology, 76131 Karlsruhe, Germany3
Department of Electronic Engineering, Dalian University of Technology, 116023, China3
University of Technology Sydney, Centre for Autonomous Systems, 15 Broadway Ultimo, NSW 20073
Dept. of Automation and Applied Informatics, Politehnica University of Timisoara, Romania3
Dept. of Electrical and Computer Engineering, University of Michigan 1301 Beal Avenue, Ann Arbor, MI 48109-21223
The Chinese University of Hong Kong, Hong Kong SAR of China3
Centre for Visual Information Technology, IIIT Hyderabad, Hyderabad, India3
CVSSP Group, Surrey Univ., Guildford, UK3
University of Pennsylvania3
Department of Computer Engineering, Middle East Technical University, Ankara, Turkey3
Informatics & Telematics Institute, Centre for Research & Technology Hellas, Thermi-Thessaloniki 57001 Greece3
Department of Electronics and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan3
Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Robot and Assistive Systems Department, Nobelstraße 12, 70569 Stuttgart, Germany3
Computer Vision and Image Processing Laboratory, University of Louisville, Louisville, KY, 40292, USA3
Department of Electrical and Computer Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran3
Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA3
The University of Buckingham, Buckingham, MK18 1EG, UK3
Multimedia and Information Security Laboratory, ABV-Indian Institute of Information Technology and Management, Gwalior, India, 4740153
Center for Signal & Image Processing, Georgia Institute of Technology, Atlanta, 30332-0250, USA3
Dpto. de Senales y Comunicaciones, Univ. de Las Palmas de Gran Canaria, Spain3
Speech and Image Processing Research Lab, Department of Electronics and Communication Engineering, National Institute of Technology Silchar, 788010, Assam, India3
School of Automation and the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Huazhong University of Science and Technology, Wuhan, China3
Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, Institute of Automation, CAS, Beijing, China3
The University of Hong Kong3
Northwestern Polytechnical University, Xi'an, 710072, China3
Department of Computer and Information Science, Temple University, Philadelphia, PA, 19122, USA3
Artificial Vision Lab., Dept Mechanical Engineering, National Taiwan University of Science and Technology3
Amity University Uttar Pradesh, Noida, India3
Bilgisayar Mühendisliği Bölümü, Başkent Üniversitesi, Ankara, Türkiye3
Centre for Autonomous Systems at KTH Royal Institute of Technology, Stockholm, Sweden3
Key Laboratory of System Control and Information Processing MOE, Department of Automation, Shanghai Jiao Tong University3
Kyushu Institute of Technology, Tobata, Kitakyushu, Fukuoka, Japan3
Karlsruhe Institute of Technology, Institute for Anthropomatics, Germany3
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore3
Department of Computer Science and Engineering Toyohashi University of Technolog Toyohashi, Japan3
Department of Computer Science, University of Toronto3
Centre for Vision, Speech and Signal Processing, University of Surrey, Surrey, UK3
School of Automation, Southeast University, Nanjing, Jiangsu 210096, China3
Institute of Industrial Science The University of Tokyo, Tokyo, Japan3
Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, SI-1000 Ljubljana, Slovenia3
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX, USA3
Electrical and Electronic Engineering Department, Imperial College London, SW7 2AZ, UK3
Cornell University, Ithaca, NY, USA3
Center for Digital Media Computing, Software School, Xiamen University, Xiamen 361005, China3
Department of InformaticsSystems and Communication, University of Milano–Bicocca, Milan, Italy3
School of Computer Science, University of Manchester, United Kingdom3
College of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China3
Instituto de Sistemas e Robótica, Lisbon, Portugal3
Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G.C., Evin 1983963113, Tehran, IRAN3
EECS Department, Northwestern University, Evanston, IL, USA, 602083
Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan3
Department of Computer Science, University of Central Florida, Orlando, 32816, United States of America3
Department of Electrical and Information Engineering, University of Cassino and of Southern Lazio, (FR), Italy3
Visual Analysis of People Laboratory, Aalborg University (AAU), Aalborg, Denmark3
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, Beijing 100190, China3
School of Information Engineering, Wuyi University, Jiangmen, Guangdong, China3
Key Laboratory of Machine Perception (MOE), School of EECS, Peking University3
Southern Illinois University at Carbondale, Carbondale, IL3
School of Information Technology, Computer Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand3
Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania3
National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan3
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China3
Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA3
Department of Mathematics & Computer Science, Philipps-Universität Marburg, D-35032, Germany3
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, 90089, USA3
Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India 2476673
IRISA, University of Rennes 1, Rennes, France3
Disney Research Zurich3
Nuremberg Institute of Technology Department of Computer Science3
School of Electronic and Information Engineering, Sun Yat-sen University, Guangzhou, China3
Multimedia Communication and Pattern Recognition Labs, Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China3
Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan3
Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs3
Computing Department, Universidade Federal de Ouro Preto, Ouro Preto, MG, 35400-000, Brazil3
Department of Computer Science and Telecommunications, National Research University of Electronic Technology (MIET), Zelenograd, Russia3
Mercedes-Benz Research & Development North America, USA3
Agency for Defense Development, Korea3
Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
Institute of Robotics and Automatic Information System (IRAIS), Nankai University, Tianjin 300071, China3
State Key Laboratory of Intelligent Technology and Systems, TNList, Department of Computer Science and Technology, Tsinghua University, Beijing, China3
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, China and Collaborative Innovation Center of Geospatial Technology, Wuhan University, China and National Enginee ...3
King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia3
Nanyang Technological University, Nanyang Avenue, Singapore3
Shanghai Jiaotong University, China3
Department of Computer Science and Engineering, Graduate School of Engineering and Resource Science, Akita University, Akita, Japan3
Signal and Communication Lab, University of Brescia, Italy3
West Virginia University, Morgantown, WV, USA3
Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan3
Computer Science Department, University of Calgary, Calgary, AB, Canada3
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University3
SHISEIDO CO., LTD. Beauty Solution Development Center, 3-9-1,Nishigotanda Shinagawa, Tokyo, 141-0031, Japan3
University of Verona, Strada le Grazie, Verona, Italy3
School of Engineering & Applied Sciences, Harvard University3
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)3
Information and media processing laboratories, NEC Corporation3
Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, 28 West Xianning Road, Xi'an, Shaanxi, 710049, China3
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, Beijing, China3
TU Berlin, Berlin, Germany3
Aarhus University, Aarhus, Denmark3
Dept. of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong Yuseong-gu Daejeon, Korea3
Department of Computer Vision and Multimodal Computing, Max-Planck Institute for Informatics, Saarbrücken, Germany3
Advanced Informatics School (AIS), Universiti Teknologi Malayisa (UTM), Kuala Lumpur, Malaysia3
PARC, Palo Alto, CA3
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, Illinois, United States3
Department of Systems Engineering, Universidad Carlos III de Madrid, C/ Butarque 15, Leganes, Spain3
Centro de Investigación y de Estudios Avanzados del I.P.N., Coordinación General de Tecnologías de la Información y las Comunicaciones Av. I.P.N. No. 2508, Col. San Pedro Zacatenco 07360, México, D.F., México3
Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Valencia, Spain3
School of Information Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China3
Cerema, Department Laboratory of Clermont-Ferrand, 8-10 rue Bernard Palissy, F-63017 Cedex 2, France3
School of Automation, Southeast University, Nanjing, People’s Republic of China3
Faculty of Computer Engineering, Iran University of Science and Technology3
School of Information Science and Technology, Donghua University, Shanghai, China3
Mathematical and Computer Science Department, Faculty of Science, Sohag University, Egypt3
University of California San Diego3
School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China3
Evolutionary Computation Research Group, Victoria University of Wellington, PO Box 600, wellington, 6140, New Zealand3
School of Information Technologies, The University of Sydney, NSW 2006, Australia, Sydney3
Xi’an Jiaotong University, Xi’an, China3
Kyung Hee University, South Korea, 1 Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-7013
Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China3
MIT Media Lab, Cambridge, MA, USA3
Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany3
Department of Computer Science, University of British Columbia, Vancouver, BC, Canada3
School of Creative Technologies, University of Portsmouth, Portsmouth, POI 2DJ, UK3
The University of Electro-Communications, Japan3
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China3
Autonomous Driving System Research Group, ETR, Daejeon 34219, Korea3
School of Engineering, RMIT University, Melbourne, 3000, Australia3
Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada H3G 1M83
Faculty of Engineering and Applied Science University of Regina Regina, Canada3
Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitési3
National Key Laboratory for Novel Software Technology, Nanjing University, 210093, China3
Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China3
Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., South Korea3
Desert Research Institute, Reno, USA3
NASA Ames Research Center, Moffett Field, USA3
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China3
Brain Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, CO4 3SQ Colchester, UK3
Mitsubishi Electric Research Labs (MERL) Cambridge, Massachusetts, USA3
School of Engineering, Cranfield University, UK3
Department of Information Engineering, University of Firenze, Firenze, Italy3
University of Nottingham, Ningbo China3
Institut VEDECOM, Versailles, France3
Research Groups on Intelligent Machines, University of Sfax, BP 1173, Sfax 3038, Tunisia3
School of EEE, Nanyang Technological University, Singapore 6397983
Hasso Plattner Institute, Potsdam, Germany3
Department of Informatics, Aristotle University of Thessaloniki, Informatics and Telematics Institute, CERTH, Greece3
University of Chinese Academy of Sciences, Beijing 100049, China3
Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea3
Department of Computer Engineering and IT, College of Engineering, Pune, India3
Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand3
Xi'an Peihua University, Intelligent Science & Information Engineering College, Xi'an, China3
Autonomous Ground Vehicle Team, Indian Institute of Technology Kharagpur, WB, 721302, India3
Gerhard-Mercator- University Duisburg, Department of Computer Science, Faculty of Electrical Engineering, 47057 Duisburg - Germany3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central Lancashire, Preston, PR1 2HE, UK3
School of Computing, Clemson University, Clemson3
Computer Science and Engineering Department, University of Notre Dame, Notre Dame3
University of Southern California, Playa Vista, USA3
Ural Federal University, Yekaterinburg, Russia3
College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China3
Computer Science Department, Technical University Of Cluj-Napoca, Romania3
Open University of Israel3
Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan3
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O.Box 217 7500 AE Enschede, The Netherlands3
Computer Science Department, Technical University of Cluj-Napoca3
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China3
Electrical and Computer Engineering Department, Semnan University Semnan, Iran3
Indian Institute of Technology Guwahati, Guwahati, India3
Computer Science Department, Boston University, Boston3
School of EECE, The University of Western Australia, 35 Stirling Highway, WA 6009, Australia3
Communication System Group, Technische Universität Berlin, Einsteinufer 17, 10587, Germany3
School of Computing, Communications and Electronics, University of Plymouth, UK3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia 41125, Modena, Italy3
Faculty of Information Technology, Ho Chi Minh City University of Science, VNU-HCM, District 5, Ho Chi Minh City, Vietnam3
Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa3
Vistek ISRA Vision, Boğaziçi Üniversitesi, İstanbul, Türkiye3
Department of Engineering, University of Modena, Modena, Italy3
Department of Electronic and Electrical Engineering, University College London, UK3
Dept of Information Technology, Panimalar Institute of Technology3
Key Laboratory of Dependable Service Computing in Cyber Physical Society, School of Software Engineering, Ministry of Education, Chongqing University, Chongqing, China3
Department of Computer Science, Pontificia Universidad Cato´lica de Chile3
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China, 2000303
Bo¿gaziçi University, Electrical & Electronic Engineering Department, 34342 Bebek, Istanbul, Turkey3
Fujitsu Laboratories, Kawasaki, Kanagawa, Japan3
Queen Mary University of London, Llrnperial College London3
Center of Informatics - CIn, Federal University of Pernambuco - UFPE, Recife, Brazil3
Department of Electronic and Computer Engineering National Taiwan University of Science and Technology3
Department of Computer Engineering, Kyung Hee University, Seoul, South Korea3
School of Information Science and Engineering, Southeast University, Nanjing, 210096, China3
International Centre for Wavelet Analysis and Its Applications, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China3
Bilgisayar Mühendisliği, İstanbul Teknik Üniversitesi, İstanbul, Turkey3
School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China3
Utrecht University, Utrecht, Netherlands3
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, ROC3
Keio University, Yokohama, Kanagawa, Japan3
Queen Mary, University of London, London3
Department of Electrical Engineering, Indian Institute of Technology, Kanpur, PIN: 208016, India3
Department of Electrical & Computer Engineering, National University of Singapore, Singapore 1175763
Computer Engineering Department. University of Alcalá, Alcalá de Henares, Spain3
Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain3
Robert Gordon University, Aberdeen, United Kingdom3
Informatics Department, Aristotle University of Thessaloniki, Greece3
ADSPLAB/ELIP, School of ECE, Peking University, Shenzhen 518055, China3
National Laboratory of Pattern Recognition, Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China3
Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda, Turkey3
CES Research Laboratory, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia3
Massachusetts Institute of Technology, Cambridge, MA, USA3
Idiap Research Institute, 1920 Martigny, Switzerland3
Faculty of Electrical Engineering, University of Ljubljana, Tr¿a¿ka 25, SI-1000, Slovenia3
School of Information and Electronics, Beijing Institute of Technology, Beijing P. R. China3
Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA3
Deir—University of Sassari, Sassari, Italy3
Aristotle University of Thessaloniki, Dept. of Informatics, Thessaloniki, 54124,Greece3
Program of Electrical Engineering, COPPE/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro-RJ CEP, Brazil3
Vidyalankar Institute of Technology, Mumbai, India3
Department of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan3
GLA University3
College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610065, China3
National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China3
Department of Computer and Systems Engineering, Carleton University, 1125 Colonel By Drive, Ottawa ON, K1S 5B6 Canada3
Dept. of Inf. Technol., Okayama Univ., Japan3
School of Mechatronic Engineering, University Malaysia Perlis (UniMAP) Main Campus, Ulu Pauh, Perlis, Malaysia3
Michigan State University, United States of America3
DII - University of Modena and Reggio Emilia, Via Vignolese 905 - Italy3
University of Vigo3
LIMSI, CNRS, Univ. Paris-Sud, Université Paris-Saclay3
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China, 4300733
Department of Computer Science and Technology, Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, Beijng, China3
Division of Graduate Studies, Tijuana Institute of Technology, México3
Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA3
UC Irvine3
University of Alabama3
Evolutionary Computation Research Group, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand3
Cooperative Medianet Innovation Center, Shang hai Jiao Tong University, China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, P.R. China, 2151233
University of Kaiserslautern & German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany3
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea3
Interdisciplinary Laboratory of Research in Sciences and Technologies (LIRST), Sultan Moulay Slimane University, Morocco3
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, 100191, China3
Guangxi University, School of Computer, Electronics and Information, Nanning, China3
Computer Vision Group, Friedrich Schiller University Jena3
Department of Computer Science and Engineering, Chalmers I University of Gothenburg, Gothenburg, Sweden3
Kumamoto Univ., Kumamoto3
Australian Centre for Field Robotics (ACFR), School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney 2006 NSW, Australia3
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Department of Automation, Shanghai Jiao Tong University, China3
The Hong Kong University of Science and Technology3
Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892, USA3
Department of Electronics, University of Alcalá, Alcalá de Henares, Spain3
Terna Engineering College, University of Mumbai, Navi Mumbai 400706, India3
Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou, China3
School of Information Science and Engineering Shandong University Jinan, Shandong, 250100, China3
School of Computer Science, Kookmin University, Seoul, Korea3
Center for Automation Research, University of Maryland, College Park, 20742, USA3
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong3
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China3
University of Canberra3
Laboratoire J.-L. Lagrange, UMR7293, Université de Nice Sophia Antipolis, Nice Cedex, France3
Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea3
CERTH, Thermi-Thessaloniki, Greece3
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran3
Rochester Institute of Technology, Rochester, NY 14623, USA3
University of Surrey, UK3
College of Computer and Communication Engineering, China University of Petroleum, Dongying, China3
Center for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK3
Active Vision Lab, Department of Engineering Sciences, University of Oxford, UK3
College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA3
George Mason University, Fairfax, VA, USA3
University of Salerno, Salerno, Italy3
Dept. of Electrical and Computer Engineering, University of Wisconsin - Madison, USA3
College of Electronic Information and Automation, Civil Aviation University of China, Tianjin3
School of Computing and Information Sciences, Florida International University, Miami, FL3
School of Computer Science and Information Technology, RMIT University, Melbourne, Australia3
Department of Computer Science and Engineering, University of Notre Dame, IN, USA3
Reconstruct & Expansion Project of Zhu-Xin Section of Henan Expressway Co. Ltd, Xinyang, China3
XiHua University, Cheng Du3
School of Information and Communication Engineering, Beijing University of Posts and Telcommunications, Beijing, China3
Electrical and Information Engineering Department, Beijing jiaotong University3
University of Washington, Dept. of Computer Science and Engineering, Seattle, WA, USA3
Inha University, Incheon, Korea3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India3
Kyung Hee University, Korea3
University school of Information and Communication technology, Guru Gobind Singh Indraprastha University, Dwarka, New-Delhi, India3
Affiliated Sichuan Provincial Rehabilitation HospitalChongqing Medical University3
Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece3
Skolkovo Institute of Science and Technology, Skolkovo, Moscow3
CNRS, Heudiasyc UMR 7253, Sorbonne universités, Université de technologie de Compiègne, CS60319, Compiègne cedex, 60203, France3
Department of Electrical and Electronic Engineering, University of Bristol, BS8 1UB, UK3
Engineering Lab on Intelligent Perception for Internet of Things (ELIP) and Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University, China3
School of Information Science and Technology, Xiamen University, Xiamen, 3610053
Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, Houston, TX3
Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, China3
Department of Computer Science, Colorado State University, Fort Collins, 80523, USA3
State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing, China3
Department of Computer Science, Harbin Institute of Technology (Shenzhen), Shenzhen, China3
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1205, Bangladesh3
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China 1001903
Huazhong Univ. of Sci.& Tech., China3
Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106, USA3
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, USA3
Research Institute of Shenzhen, Wuhan University, Shenzhen, China3
Department of Electrical and Computer Engineering, Binghamton University, Binghamton, NY3
Shenzhen Key Lab. of Information Sci&Tech, Department of Electronics Engineering, Graduate School at Shenzhen, Tsinghua University, China3
Shanghai University3
Digital Media Lab., Tillämpad Fysik och Elektronik, Umeå Universitet, SE-90187, Sweden3
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, China3
Lehigh University, Bethlehem, USA3
Institute of Automation Chinese Academy of Sciences, National Lab of Pattern Recognition, Beijing, China3
Department of Automation, National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China3
Department of Information Technology on Human and Environmental Science, Kumamoto University, Chuo-Ku, Kumamoto, Kumamoto, Japan3
Applied Research Group, Satyam Computer Services Ltd, 3rd Floor, SID Building, IISc Campus, Bangalore - 12, India3
Laboratory of Inverse Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications, University of 08 Mai 1945, P.O box 401, Guelma, Algeria3
Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Computer Science and Technology, Wuhan University of Sciences and Technology Wuhan 430065, China3
Chalmers University of Technology, Gothenburg, Sweden3
Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy3
Le2i Laboratory, University of Burgundy, Le Creusot, France3
Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany3
Australian Centre for Field Robotics, The University of Sydney3
CES-Laboratory, Sfax Sud University, National Engineering School of Sfax, Tunisia3
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore3
University of Firenze, via S. Marta 3, 50139 Firenze, Italy3
Hitachi, Ltd., Tokyo, Japan3
Center for Automation Research, University of Maryland, College Park, USA3
School of Computer Science, The University of Nottingham, United Kingdom3
Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Electrical and Computer Engineering, Vision Laboratory, Old Dominion University, Norfolk, VA, USA3
Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA3
Department of Computer Science, Hong Kong Baptist University3
Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro #1, Tonantzintla, Puebla, Mexico3
Simula Research Laboratory, Oslo, Norway3
College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China3
Department of Electrical Engineering, Indian Institute of Science3
Center for Research in Computer Vision, University of Central Florida, Orlando, FL3
University of California, Los Angeles, CA Dept. of Electrical Engineering3
State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China3
School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK3
Aoyama Gakuin University, Japan Sagamihara, Japan3
Multimodal Interactive Syst., Darmstadt, Germany3
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, 9 rue Charles Fourier, Evry Cedex, 91011, France3
Department of Information Engineering, Media Integration and Communication Center (MICC), University of Florence, Italy3
National Taipei University of Technology3
Fujian Key laboratory of Sensing and Computing for Smart City, School of Information Science and Technology, Xiamen University, Xiamen, China3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, India3
Shanghai Advanced Research Institute, CAS, Shanghai, China3
School of Mathematics and Statistics, Yunnan University, Kumming, China3
Computer Engineering and Computer Communications Department, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia3
Center for Artificial Intelligence and Robotics (CAIRO), Aswan University, Egypt3
School of Computing and Communications, Lancaster University, Lancaster, U.K.3
Department of Electronic and Computer Engineering, National Taiwan university of Science and Technology, Taiwan R.O.C.3
Electrical Communications and Electronics Eng. Dept., Faculty of Engineering, Tanta University, Tanta, Egypt3
IBISC Laboratory, FRE CNRS 3190, University of Evry Val Essonne, Evry, France.3
Faculty of Computer Science and Engineering, Complutense University of Madrid, Madrid, Spain3
School of Electronic and Information Engineering, Xi'an Jiaotong University, 710049, China3
University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor, Malaysia3
Image Understanding Group, Daimler AG R&D, Stuttgart, Germany3
Department of Electronic and Computer Engineering, Brunei University, London, London, UK3
Institute for Electronics, Signal Processing and Communications (IESK) Otto-von-Guericke-University Magdeburg D-39016 Magdeburg, P.O. Box 4210 Germany3
REGIM: Research Groups on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), BP 1173, 3038, Tunisia3
Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Malaysia3
Department of Computer Science, University College London, UK, WC1E 6BT3
School of Mechanical and Electrical Engineering, Shandong Management University, Jinan, China3
Research School of Engineering, Australian National University, Acton, ACT, Australia3
School of Mechanical and Electric Engineering, Soochow University, Suzhou Jiangsu, 215021, China3
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA3
Idiap Research Institute, Switzerland3
Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India3
IMAGO Research Group, Universidade Federal do Paraná, 81531-980 Curitiba, Brazil, PO Box 190923
Fac. of Inf. Technol., Multimedia Univ., Malaysia3
LA.R.A Laboratory, National Engineering School of Tunis, National Engineering School of Carthage, Tunis, Tunisia3
Key Lab of Machine Perception (MOE), Peking University, Beijing, China3
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA3
School of Electrical Engineering, Korea University, 1, 5-ka, Anam-dong, Seongbuk-ku, Seoul 136-701, Korea3
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia3
Institute for Autonomous Systems Technology (TAS), Bundeswehr University Munich, Neubiberg, 85577, Germany3
Networked Robotics and Sensing Laboratory, Engineering Science School in Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada3
College of Computer Science and Technology, Xinjiang Normal University, Urumchi, 830054, China3
School of Information Technology, Deakin University, Geelong, VIC 3216, Australia3
Centre for Intelligent Sensing, Queen Mary University of London, Mile End Road, London E1 4NS, UK3
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China3
Computer Vision Center & Dept. Comp. Science, Universitat Autònoma de Barcelona, Cerdanyola, Spain3
LRIT, associated unit to CNRST (URAC 29), Mohammed V University in Rabat, B.P. 1014, Rabat, Morocco3
School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia3
Università degli Studi di Firenze, Firenze3
CyLab Biometrics Center and the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA3
Vision & Sensing Group, HCC Lab, ESTeM, University of Canberra, Australia3
School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 5180553
National Engineering Research Center on Multimedia Software, Wuhan University, 430072, China3
Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, India3
National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, Nizhny Novgorod, Russia3
School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa3
Advanced Analytics Institute, University of Technology, Sydney, Australia3
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China3
Biometric Recognition Group-ATVS, EPS, UAM, C/ Francisco Tomas y Valiente 11, 28049 Madrid, Spain3
ETIS/ENSEA, University of Cergy-Pontoise, CNRS, UMR 8051, France3
Department of Computer Science, The University of Liverpool, UK3
Sao Paulo State University – UNESP 13506-900, Rio Claro, SP - Brazil3
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39106, P.O. Box 4210 Germany3
Simula Research Laboratory, Norway3
Laboratory of Imaging Technologies, Department of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia3
Institute for Human-Machine Communication, TU München, Theresienstrae 90, 80333 München, Germany3
Center for Automation Research, UMIACS, University of Maryland, College Park, MD 20742 USA3
Department of Computer Science, Virginia Tech, Discovery Analytics Center3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China3
Video Analytics Laboratory, SERC, Indian Institute of Science, Bangalore, India3
MIT CSAIL3
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai, China3
University of Waterloo, Waterloo, Canada3
Harvard University3
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Southeast University, Nanjing, China3
Clarkson University, 8 Clarkson Ave, Potsdam, New York3
Research group GOTS, Universidad Industrial de Santander, Bucaramanga, Colombia3
College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China3
Shanghai Jiao Tong University, Shanghai, 200240, China3
TAMS group, Dept. Informatics, Hamburg University. Vogt-Koelln-Strasse 30, 22527, Germany3
Mobile Robotics Group, Oxford University, UK3
School of Mathematics and Statistics, Huazhong University of Science & Technology, Wuhan, 430074, China3
Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Ltd., Pune, India3
School of Computer science and engineering, Wuhan Institute of Technology, Wuhan, China, 4300733
School of Computing Sciences, University of East Anglia, Norwich, U.K.3
Robotics, Perception and Learning Lab, KTH, Stockholm, Sweden3
College of Communication Engineering, Chongqing University, Chongqing, China3
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA3
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China3
College of Information Engineering, Zhejiang University of Technology, Hangzhou, China3
Dept. of Computer Science and Electrical Engineering, University of Missouri at Kansas City, United States of America3
Amrita Robotic Research Centre, Amrita Vishwa Vidyapeetham, School of Engineering, Bangalore, India3
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States3
School of Electrical and Information Engineering, Shanghai University of Electric Power, China3
Key Laboratory of Measurement and Control of CSE, School of Automation, Southeast University, Nanjing 210096, China3
Centre for Intelligent Signal & Imaging Research, Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS, Tronoh, Perak, 31750, Malaysia3
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, China3
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, India3
Department of Computer Science, City University of Hong Kong, China3
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma, JAPAN 630-01923
The Chinese University of Hong Kong, Hong Kong, China3
Institute for Human-Machine Communication, TU Munich, Germany3
Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey3
Center for Bionics, Korea Institute of Science and Technology, South Korea Department of Electronic Engineering, Inha University, South Korea3
IT - Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal3
Department of Computer Science and Engineering, University of South Florida, Tampa, Florida 336203
Fac. of Comput. & Inf. Sci., Ljubljana Univ., Slovenia3
Department of Electrical and Electronic Engineering, National University of Ireland, Galway, Ireland3
Lodz University of Technology, ul. Stefanowskiego 18/22, 90-924, Poland3
Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai-600044, India3
Faculty of Computing, Engineering and Sciences, Staffordshire University, Stoke-on-Trent, U.K.3
GTÜ Bilgisayarla Görme Lab, Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye3
Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli, Tuzla, 34956, Istanbul, Turkey3
Department of Electrical Engineering, University of Washington (UW)3
Université de Technologie de Compiègne (UTC), CNRS Heudiasyc UMR 7253, Compiègne, France3
Computer Engineering Department, Prince of Songkla University, Hat Yai, Thailand3
Google, New York, NY, USA3
Video/Image Modeling and Synthesis Lab, Department of Computer and Information Sciences, University of Delaware, USA3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China3
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China3
NOAA-ISET Center, Autonomous Control and IT Center, Electrical and Computer Engineering, North Carolina A&T State University, Greensboro, NC 274113
Department of Electrical Engineering, Indian Institute of Technology Kanpur, India - 2080163
Software school, Xiamen University, Xiamen, Fujian, China3
Visionlab, University of Antwerp3
University of Texas at Austin, Austin, USA3
Key Laboratory of Intellectual Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China3
ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia3
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei 230027, China3
Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015, Switzerland3
University of Texas at Austin3
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China3
Key Laboratory of Machine Perception (Ministry of Education), Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
Department of Computer Engineering, Maharashtra Institute of Technology, Pune3
Department of Artificial Intelligence Engineering, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran3
National Chung-Shan Institute of Science and Technology, Taiwan3
ISSNIP, Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria - 3010, Australia3
School of Control Science and Engineering, Shandong University, Jinan, Shandong, P. R. China3
Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany3
Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil3
Communication University of China, Beijing, 100024, China3
School of Computer Science and Technology, Nanjing Tech University, Nanjing, China3
University of Adelaide, Adelaide, Australia3
University of California, Riverside, USA3
University College London3
Multimedia and Intelligent Software Technology Beijing Municipal Key Lab., College of Computer Science, Beijing University of Technology Beijing, China.3
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China3
school of Electrical and Computer Engineering, Korea University, Seoul, Korea3
Artificial Intelligence and Information Analysis Lab/Department of Informatics, Aristotle University of Thessaloniki, University Campus, Agiou Dimitriou, 54124, Greece3
Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh India3
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, U.K.3
School of Electronics and Computer Science, University of Southampton, UK, SO17 1BJ3
Center for Research in Intelligent Systems, University of California, Riverside Riverside, CA 92521-0425, USA3
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea3
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA3
Institut Pascal - CNRS UMR6602 Université Blaise Pascal, Campus des Cézeaux, 63177 Aubière, France3
Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India3
GVU Center, Georgia Inst. of Technol., Atlanta, GA, USA3
Centre de Visió per Computador, Universitat Autònoma de Barcelona, Barcelona, Spain3
École Polytechnique Fédérale de Lausanne (EPFL), Switzerland3
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology Sydney, 81 Broadway Street, Ultimo, NSW, Australia3
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics3
University of Edinburgh, Edinburgh, United Kingdom3
Centre for Intelligent Sensing, Queen Mary University of London3
New York University, New York, NY, USA3
Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany3
Computer Science Department Technical University of Cluj-Napoca Cluj-Napoca, Romania3
New Industry Creation Hatchery Center, Tohoku University, Aza-Aoba 6-6-10, Aramaki, Aoba-ku, Sendai 980-8579, Japan3
Science and Technology on ATR Laboratory, National University of Defense Technology, Changsha 410073, China3
University of Udine, Via Scienze 208, 33100, Italy3
Department of Informatics, University of Thessaloniki, 54124, Greece3
Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, P. R. China3
CRISTAL Laboratory, GRIFT research group, National School of Computer Sciences, La Manouba University, Tunisia3
Instituto Politécnico Nacional, ESIME, Culhuacan, Mexico D.F.3
Department of Computer Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran3
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, 200241, China3
Robotics, Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia, Genova, Italy3
National Institute of Technology Rourkela, Odisha-769008, India3
International Center of Excellence on Intelligent Robotics and Automation Research, National Taiwan University, Taiwan3
Institute for Artificial Intelligence, Department for Computer Science, University of Bremen, Germany3
TCS Research, New Delhi, India3
Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania3
University of North Carolina Wilmington, Wilmington, NC3
EURECOM, Multimedia Communications Dept., 2229 route des Cretes BP 193, 06904 Sophia Antipolis Cedex, France3
Center For Machine Vision Research, University of Oulu, Finland3
Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, Beijing 100191, China3
Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey3
Academy of Broadcasting Science, Beijing, China3
Khalifa University3
University of Technology, Sydney3
Annamalai university, Annamalai nagar, India3
Computer Science Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India3
Institute of Automation, Chinese Academy of Sciences, Beijing3
School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia3
Edward S. Rogers Senior Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada3
University of Firenze3
School of Electronics and Computer Science, University of Southampton, Southampton, S017 1BJ, UK3
Robotics Institute at Carnegie Mellon University, Pittsburgh, PA 15213, USA3
ISLA, Informatics Institute, University of Amsterdam, Science Park 107, 1098 XG, The Netherlands3
School of Electrical and Information Engineering, Tianjin University, Tianjin, China3
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences3
College of Information Science and Technology Beijing Normal University, Beijing Beijing, China3
Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil3
Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China3
Max-Planck-Institut für Informatik, Saarbrücken, Germany3
Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic3
School of Computer Science and Educational Software, Guangzhou University, Guangzhou, China3
Département EPH, Telecom SudParis3
REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia3
State Grid Energy Research Institute, China3
Guanadong University of Technology, China3
Department of Electronics, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand3
ISR-Institute of Systems and Robotics, University of Coimbra Polo II, Coimbra, Portugal3
Air Force Research Lab, USA3
Computer & Information Science Department, Temple University, Philadelphia, PA, USA3
Faculty of Mathematics and Statistics, Hubei University, Wuhan, China3
Bilgisayar Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Istanbul, Turkey3
University of Delaware, USA3
Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Rd., TX, 77004, USA3
Computer Science Department, University of Sherbrooke, Sherbrooke, Canada3
Panasonic System Networks3
Information Technologies Institute, CERTH, Thermi-Thessaloniki, Greece3
The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong3
Dept. of Electronics & Electrical Engineering, IIT Guwahati, India3
Queensland University of Technology, Brisbane, Australia, 40003
Department of Computer Science, University of Texas at San Antonio, TX, USA3
NICTA, Canberra3
Computer Vision Center and Computer Science Dpt. UAB, Bellaterra, Spain3
CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China3
School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), China3
Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand3
Zhejiang University3
Multimedia Laboratory, Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada3
University of Sao Paulo3
Institute of Mathematical and Computer Sciences, University of Sao Paulo, Sao Paulo, Brazil3
Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, China3
Electrical and Computer Engineering, University of Dayton, Dayton, Ohio, USA3
Université de Biskra, Biskra, Algeria3
Northwestern Polytechnical University, Xi'an, P. R. China3
BT Convergence Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700 S. Korea3
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece3
College of Engineering and Technology, Arab Academy of Science and Technology & maritime transport, Egypt3
School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China3
School of Information and Communication Engineering, Dalian University of Technology, 116024, China3
AASS Research Center, School of Science and Technology, Örebro University, S-70182, Sweden3
Department of Computer Science and Engineering, Southwest Jiaotong University, Chengdu, China3
Center for Cognitive Ubiquitous Computing (CUbiC), Arizona State University, Tempe, AZ, USA3
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands3
The State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, China, 3100273
School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China3
Central China Normal University, China3
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore3
Academic Center for Computing and Media Studies, Kyoto University, Kyoto, 606-8501, Japan3
Indian Institute of Information Technology Guwahati, Assam, India, 7810013
Computer Graphics Laboratory, Department of Informatics and Telecommunications, University of Athens, Ilisia 15784, Greece3
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK3
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283, Germany3
Dept. of Comput. Eng., Bogazici Univ., Turkey3
Vision Lab in Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, 235293
Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France3
School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, Taegu 702-701, Republic of Korea3
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany3
Adv. Computer Architecture Lab., University of Michigan, EECS Dept., Ann Arbor, USA3
Cyber Security Cluster, Institute for Infocomm Research, Singapore3
CVC and C. Sc. Dpt. UAB, Barcelona, Spain3
Ghent University3
Advanced Technologies Application Center, 7a #21406 b/ 214 and 216, P.C. 12200, Playa, Havana, Cuba3
Villanova University, Villanova, PA, USA3
Department of Electrical and Computer Engineering, The Johns Hopkins University, Center for Language and Speech Processing, USA3
Grupo de Investigación en Desarrollos Tecnológicos (GIDET), Programa de Tecnología en Electrónica, Facultad de Ciencias Básicas y Tecnologías, Universidad del Quindío (Colombia)3
National Electronics and Computer Technology Center, Thailand3
Shanghai Advanced Research Institute, Chinese Academy of Sciences, China3
Nanjing University of Posts and Telecommunications, China3
University of Missouri Columbia, USA3
Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China3
Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland3
School of Computer Science and Software Engineering University of Wollongong, Australia3
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China3
RIKEN Center for AIP, Tokyo, Japan3
Fulda University of Applied Sciences, Fulda, Germany3
Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China3
Wakayama University, Sakaedani 930, Wakayama-City 640-8510, Japan3
School of Electronics and Computer Science, University of Southampton3
Australian National University, Australia3
University of Waterloo, Canada3
University of Canberra, Australia3
WILLOW Project-Team, INRIA, and Département d’Informatique, de l’Ecole Normale Supérieure, ENS/Inria/CNRS UMR 8548, Paris, France3
The Graduate Center, USA3
Department of Pervasive Computing, Tampere University of Technology, Tampere, Finland3
Phonexia, Brno-Krlovo Pole, Czech Republic3
Expert Systems, Modena, Italy3
Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany3
College ofcomputer science and technology, Harbin engineering university, 150001, China3
Guangdong Key Laboratory of Big Data Analysis and Processing, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China3
Institute for Creative Technologies, University of Southern California, 12015 E Waterfront Dr, Los Angeles, CA, USA3
Universidade de Pernambuco (UPE), Recife, Brazil3
Institute for Information Processing, Leibniz University Hanover, Hanover, 30167, Germany3
Faculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, SI-1000 Ljubljana, Slovenia3
Research and Technology Center, Robert Bosch LLC, Palo Alto, CA, USA3
Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China3
Instituto de Telecomunicações, Instituto Superior Técnico - Universidade de Lisboa, Lisbon, Portugal3
Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China3
Department of Computer Science, Faculty of Science, Khon Kaen University, Maung, Khon Kaen, Thailand, 400023
Dep. of Computer Science, Technical University of Munich, Boltzmannstrasse 3 85748 Garching, Germany3
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, 34342 Bebek, İstanbul, Turkey3
Tsinghua University, Beijing,China3
Media & Inf. Res. Labs., NEC Corp., Kanagawa, Japan3
Università Politecnica delle Marche (Italy)3
Image and Video Systems Laboratory, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Institute for Infocomm Research, A∗STAR, Singapore3
School of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang, China3
Department of Electrical Engineering , University of California, Los Angeles (UCLA), Los Angeles, USA3
Shenzhen Key Lab. of Information Sci&Tech, Shenzhen Engineering Lab. of IS&DRM, Dept. of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, China3
The University of Sheffield, Sheffield, UK3
Dept of Computer & Information Science Indiana University-Purdue University Indianapolis, IN, United States3
Department of Mechanical Engineering and Intelligent Systems, Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, Japan3
The Third Research Institute of the Ministry of Public Security, Shanghai, China3
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan3
Department of Automation and Remote Control; Perm National Research Polytechnic University; Perm, Russia3
Institute for Information Industry3
Smart Media Research Center, Korea Electronics Technology Institute, Seoul, Korea3
Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Italy3
University of Tübingen, Tübingen, Baden-Württemberg, Germany3
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Republic of Korea3
State Key Laboratory of ASIC and System, Fudan University, No. 825 Zhangheng Road, Shanghai, 201203, China3
NICTA, Canberra ACT, Australia and CECS, Australian National University, Australia3
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China3
Universidade NOVA Lisboa, Lisbon, Portugal3
Research Center of Intelligent Robotics, Shanghai Jiao Tong University, Shanghai 200240, P.R China3
People’s Public Security University of China, Beijing, China3
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences, Beijing, China3
ISPR Lab., Department of Computer Science, Faculty of Mathematics, Shahid Behshti University, Tehran, Iran3
Google Inc., Mountain View, CA, USA3
The University of Newcastle, Merz Court, Newcastle upon Tyne, NE1 7RU, United Kingdom3
ESAT-PSI / iMinds, KU Leuven, Belgium3
Institute of Image Transmission and Information Processing Shanghai Jiao Tong University3
Army Research Laboratory, Adelphi, Maryland, United States of America3
Department of Software Engineering, ChongQing College of Electronic Engineering, China3
LEAR team, Montbonnot3
Department of Electrical, Electronics and Computer Engineering, University of Catania, Catania, Italy3
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing 100190, China3
Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon3
NLPR, Institute of Automation, Chinese Academy of Sciences3
School of Computer Science, The University of Adelaide, Adelaide, SA, Australia3
Department of Control Science and Engineering, Tongji University, Shanghai, China3
University of Texas, Arlington3
University of Delaware, Newark, USA, 197163
Tokyo Institute of Technology, Tokyo, Japan3
National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, Shaanxi, 710049, China3
International Center of Excellence on Intelligent Robotics and Automation Research, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 1063
Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, China3
University of Newcastle, Australia3
Group of Biometrics, Biosignals and Security, GB2S, Centro de Domótica Integral, Universidad Politécnica de Madrid, Campus de Montegancedo. Pozuelo de Alarcón, 28223, Madrid3
Intel Labs Pittsburgh, USA3
Media IC and System Lab, Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University, Taiwan3
Aristotle University of Thessaloniki, Greece3
Tokyo Institute of Technology3
Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA3
School of Electronics and Information Technology, Sun Yat-Sen University, Guangdong, Republic of China3
BITS Pilani, Pilani , India3
School of Automation, Northwestern Polytechnical University, Xi’an, China3
iHomeLab, Lucerne University of Applied Sciences and Arts, Switzerland3
Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Poland3
Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil3
School of Electrical and Electronic Engineering, Singapore3
IRIP Laboratory, Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China3
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway3
Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid, Spain3
Facebook Inc., San Francisco, CA, USA3
Mobile Robotics Lab (LabRoM), São Carlos School of Engineering (EESC), University of São Paulo, Av. Trabalhador Sancarlense 400, Brazil3
College of Computer Science and Information Technology, Northeast Normal University, Changchun, China3
SAGE, Advanced Systems in Electrical Engineering, Tunisia3
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, P.R. China3
University of Tübingen3
Distributed and Collaborative Virtual Environments Research Laboratory (DISCOVER), School of Information Technology and Engineering, University of Ottawa, K1N 6N5, Canada3
Department of Computer Science and Information Engineering, Tamkang University, New Taipei, Taiwan3
Intelligent Robotics and Communication Laboratories, ATR, Japan3
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Japan3
School of Automation, HangZhou DianZi University, HangZhou, 3100003
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France3
Department of Computer Sciences, University of Salzburg J.-Haringerstr.2, 5020 Salzburg, Austria3
Department of Clinical Psychology and Psychotherapy, University of Tübingen, Tübingen, Germany3
Technische Universität Berlin, Berlin, Germany3
Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea3
School of Electrical Engineering and Computer Science (EECS), University of Ottawa, Canada3
School of Electronics and Physical Sciences, University of Surrey, Guildford, UK3
College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei, 443002, China3
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University Chengdu, 610065, China3
Institute of Forensic Science, Ministry of Justice, Shanghai 200063, China3
Department of Computer Science, ETH Zürich, Switzerland3
Tsinghua University, Dept. of Computer Science and Technology, Beijing, China3
Dept. of Computer Science, University of Maryland, College Park, MD, USA3
University of Maryland3
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications and Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry ...3
Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China3
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China3
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 1001903
Dept. of Neuroinformatics, Ilmenau Tech. Univ., Germany3
Machine Vision and Pattern Recognition Research Group, Lappeenranta University of Technology, Finland3
Biometric Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea3
Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany3
Visual Information Processing Laboratory, Department of Electronics Engineering, Tsinghua University, China3
NICTA, Queensland, Australia3
Department of Information and Communication Engineering, INHA University, Incheon, Korea3
National Laboratory of Pattern Recognition, Institute of Automation, Beijing, China3
ATR Intelligent Robotics and Communication Labs., Kyoto, Japan3
Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University, JAPAN3
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech. Bangalore-560060, India3
Department of Computing, Curtin University, Perth, Australia3
Institute of Computing, University of Campinas, SP, Brazil3
Integrated Information System Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China3
Computer Engineering Department, Eastern Mediterranean University, Gazima¿usa, Northern Cyprus3
Department of Electrical and Information Engineering, University of Gadjah Mada, Indonesia3
Indian Institute of Technology Bombay, Mumbai, India3
University of Ljubljana, Slovenia3
University of Salerno, Fisciano, Italy3
Shenyang Institute of Automation, Chinese Academic of Sciences, Key Lab of Image Understanding and Computer Vision, The Key Laboratory of Optical Electrical Image Processing, Shenhe District, Shenyang, Liaoning, China3
Norwegian University of Science and Technology, Gj⊘vik, Norway3
Institute of Neural Information Processing, University of Ulm, Germany3
Medical Psychology, Department Psychosomatic Medicine and Psychotherapy, University of Ulm, Germany3
University of Michigan3
TAMS group, Dept. Informatics, University of Hamburg. Vogt-Koelln-Strasse 30, 22527, Germany3
Australian Centre for Field Robotics, The University of Sydney, Australia3
Department of Electrical Engineering, Tokyo University of Science Chiyoda-ku 102-0073 Tokyo, Japan3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China3
College of Electronic Information Engineering, South-Central University for Nationalities, Wuhan, China3
Department of Computer Science and Information EngineeringCommunications and Multimedia Laboratory, National Taiwan University, Taipei, Taiwan3
Florida International University, Miami, FL3
Software Solution Laboratory, Samsung Advanced Institute of Technology, Suwon-si, South Korea3
Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia3
University of Information Technology, Vietnam3
School of Engineering, Griffith University, Nathan, QLD, Australia3
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY3
School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu Province, 21189, China3
School of Mechanical Engineering, University of Science and Technology Beijing, USTB, Beijing, China3
Signal and Information Processing Laboratory, Beijing University of Technology, China3
EECE Department - Cairo University, Giza, Egypt3
Dept. of Cybernetics and Artificial Intelligence, FEI TU of Košice, Slovak Republic3
School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi 394063
Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India3
Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia3
School of Electrical and Electronic Engineering, Yonsei University3
Department of Aerospace Engineering, Institute for Autonomous Systems Technology, University of the Bundeswehr Munich, Germany3
Multimedia Lab., Toshiba Corp., Kawasaki, Japan3
Applied Computing Department The University of Buckingham Buckingham, United Kingdom3
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Key Laboratory of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China3
Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China3
College of Electronic Science, National University of Defense Technology, Changsha, Hunan, China3
University of Minnesota3
School of Computer, Shenyang Aerospace University, Shenyang, China3
Washington University in St Louis, USA3
eScience Institute, University of Washington, Seattle, Washington United States3
National Engineering School of Sfax, REGIM (DGRST 01/UR/11-02), University of Sfax, Tunisia3
ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.3
Curtin University Bentley, Western Australia3
Univ. Pierre & Marie Curie, ISIR - CNRS UMR 7222, F-75005, Paris - France3
Dept. of ECE, Seoul National University, Seoul, Korea3
Daimler Center for Automotive Information Technology Innovations (DCAITI), Berlin, Germany3
Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, Germany3
Department of CSE, RMK Engineering College, Chennai3
Australian National University3
Department of Automation, Tsinghua University, 100084 Beijing, China3
Department of Mathematics and Statistics, University of Electronic Science and Technology of China , Chengdu, China3
Department of Computer Science and Engineering, Jadavpur University, Kolkata-32, India3
School of Computer Science and Engineering, Beihang University, China3
School of Information Security Engineering, Shanghai Jiaotong University, No. 800 Dong Chuan Rd., 200240, Shanghai, China3
School of Information Science and Electrical Engineering, Kyushu University, Japan3
Dept. of Electrical Engineering, Indian Institute of Technology, Hyderabad3
Centre of Artificial Intelligence, School of Software, FEIT, University of Technology, Sydney, Australia3
Xiamen University of Technology, Xiamen, China3
University of Denver, CO 80208, USA3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia3
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China3
Graduate School of Engineering, Tokyo University of Science, 125-8585, Japan3
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China3
Department of Electrical and Computer Engineering, McGill University, Montréal, QC, Canada3
Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India3
Department of Computer Science, University of Rochester, Rochester, NY, USA3
Columbia Univeristy, New York, NY, USA3
Elektrik ve Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye3
University of Freiburg, Computer Science Institute, D-79110, Germany3
Center for Intelligent and Networked Systems, Department of Automation, TNLIST, Tsinghua University, Beijing 100084, China3
Heudiasyc Lab., UMR, Sorbonne universités. Université de technologie de Compièegne, CNRS, Compiègne, 7253, France3
Department of Electrical and Computer Engineering3
AKiiRA Media Systems Inc., Palo Alto, CA, USA3
Department of Computer Science, South Asian University, New Delhi, India3
Department of Electrical and Computer Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146, USA3
Center for Information Technology, UPES, Dehradun, India3
Oregon State University, Corvallis, OR, USA3
Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland3
Department of Electrical and Computer Engineering, University of Denver3
Department of Electrical Engineering, Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden3
LEMCO (INRETS), 14 route de la minière, building 824, 78000 Versailles - Satory, France3
Tongji University, China3
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China3
Department of Electrical Engineering, University of California, Riverside, 925213
Toyohashi University of Technology, Japan3
Department of Computer and Information Sciences, Temple University, Philadelphia, USA3
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, France3
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China3
School of Computer Software, Tianjin University, Tianjin, China3
School of Electrical and Computer and Telecommunications Engineering, University of Wollongong, North Wollongong, NSW 2522 Australia3
LaBRI, University of Bordeaux, UMR 5800, F-33400 Talence, France3
Otto-von-Guericke University of Magdeburg, Magdeburg, Germany3
Department of Computer Science & Technology, Tongji University, Shanghai, P. R. China3
College of Information Science and Engineering, Ritsumeikan University, Shiga, 525-8577, Japan3
UNC Charlotte, Charlotte, NC, USA3
School of Computing Science and Engineering, VIT University, Vellore, India3
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin 150080, China3
Department of Computer Science, National University of Singapore, Singapore3
School of Electrical and Electronic Engineering’ Yonsei University, Seoul, 03722, South Korea3
Advanced Technologies Application Center (CENATAV), 7A ♯21406 Siboney, Playa, P.C.12200, Havana, Cuba3
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, China3
Dept. of Electronic Engineering, Daegu University, Gyeongsan-City, 38453, South Korea3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China3
The Univ of Hong Kong, China3
AGH University of Science and Technology Krakow, Poland3
Sorbonne Universités, Université de Technologie de Compiègne, CNRS, Heudiasyc Laboratory, France3
Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada3
National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China, 2300273
Department of Computer Science and Engineering, Michigan State University, USA3
Rutgers University, Piscataway, USA3
Kentkart İzmir, TÜRKİYE3
Los Angeles, CA3
Electronics and Communication Dept., Sarvajanik College of Engineering and Technology, Surat, India3
Department of Informatics, Aristotle University of Thessaloniki, 54124, Greece3
School of Computer Science, Beijing Institute of Technology, China3
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, China3
Faculty of Computer, Guangdong University of Technology, Guangzhou, China3
Chinese University of Hong Kong, Hong Kong, China3
Laboratory for Intelligent and Safe Automobiles (LISA), University of California San Diego, La Jolla, CA, USA3
Key Laboratory of Machine Perception(MOE), Peking University, Beijing 100871, China3
School of Technology, Nanjing Audit University, Nanjing, China3
School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China3
School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, China3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, China3
Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, 565-0871 Japan3
Department of Electronic Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan3
Dept. of Electrical and Computer Engineering & Centre for Intelligent Machines, McGill University, Montreal, Quebec, Canada3
Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, 28933 Móstoles (Madrid), Spain3
Department of Computer Science, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea3
School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia3
School of Engineering and Computer Science, Victoria University of Wellington, P.O. Box 600, Wellington 6140, New Zealand3
Department of Computer Science and Technology, Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China3
Dept. of Computer Science, Suez Canal University, Ismailia, Egypt3
School of Information Science and Technology, East China Normal University, Shanghai, China3
College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan3
Department of Computing, Curtin University, Western Australia, WA 61023
Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan City, Taiwan3
Department of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, Tyne and Wear3
Department of Teleinformatics Engineering, Universidade Federal do Ceará, Fortaleza, CE, Brazil3
School of Artificial Intelligence, Xidian University, China3
School of Computer and information, HeFei University of Technology, Hefei, China3
National University of Defense Technology, Changsha, Hunan Prov., China3
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Learning and Digital Technology, Fo Guang University, Yilan, Taiwan3
DIEGM - University of Udine, Via Delle Scienze, 208 - 33100 - Italy3
Institute of Industrial Science, The University of Tokyo3
Department of Computer Science, Pacific Lutheran University, Tacoma, WA, USA3
Computer Science and Engineering, Universite du Quebec en Outaouais, Gatineau, Canada3
School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China3
TU Braunschweig, Institute of Control Engineering, Germany3
Department of Computer Science, Hong Kong Baptist University, Kowloon, Hong Kong3
Faculty of Information Science and Engineering, Ningbo University, Ningbo, China3
Beijing Institute of Graphic Communication, Beijing3
Indian Institute of Science, Bengaluru, India3
Department of Computer Science, University of Toronto, ON M5S, Canada3
Dept. of Computer Sciences, ASIA Team, Moulay Ismail University, Faculty of Science and Techniques, BP 509 Boutalamine 52000 Errachidia, Morocco3
University of Edinburgh, UK3
Electrical Engineering Department, Vision and Pattern Recognition Systems Research Group, Capital University of Science and Technology, Islamabad, Pakistan3
Université du Québec à Chicoutimi (UQAC)3
College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, China, 3000723
School of Systems Engineering, University of Reading, Reading, United Kingdom, RG6 6AY3
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA3
Shanghai Jiao Tong University & Alibaba Group, Shanghai, China3
EUP Mataró, Spain3
Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK3
Image and Video System Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-732 Korea3
College of Engineering, Huaqiao University, Quanzhou, China3
The University of Texas at Arlington3
School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
Alibaba, Hangzhou, China3
Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak, Kuala Lumpur, Malaysia 531003
School of Information Technology and Electrical Engineering, The University of Queensland3
School of Information Science and Technology, Xiamen University, Xiamen, P. R. China3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China3
School of Information science and Engineering Central South University Changsha, Hunan 410083, China3
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China3
Multimedia Communication and Pattern Recognition Lab, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China3
Computer Science Department, Texas State University, San Marcos, TX, USA3
Institute of Computer Science VI, University of Bonn, Germany3
Faculty of Telecommunications, TU-Sofia3
University Of Washington3
Geospatial Laboratory, Universidad Católica del Maule, Talca, Chile3
School of ECE, Peking University Shenzhen Graduate School, Shenzhen, China3
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana USA3
Department of Computer Science, The State University of New York at Binghamton, Binghamton, NY, USA3
College of computer, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China3
IT University of Copenhagen, Copenhagen, Denmark3
FDNA inc., Herzliya, Israel3
Learning Affect and Semantic Imaging (LASII) Group, Indian Institute of Technology Ropar, India3
Faculty of Engineering, University of Fukui, Japan3
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China3
Software School, Shenyang University of Technology, China3
University of North Carolina Wilmington, USA3
Advanced Virtual and Intelligent Computing (AVIC) research center, Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand3
Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China3
Dept. of Computer Science and Electrical Engineering, University of Missouri-Kansas City, MO, USA3
HCC Lab, Vision & Sensing Group, University of Canberra, Australia3
University of Burgundy, Le2i, BP 47870 21078 Dijon, France3
Department of Computer Science and Engineering, POSTECH, Korea3
CNRS, UMR 5516, Laboratoire Hubert Curien, F-42000, Saint-Étienne, France3
School of Information Science and Engineering, Xiamen University, Xiamen 361005, China3
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar-799022, Tripura (W), India3
Department of Computer, Science Seattle University, WA, USA3
NOAA-ISET Center, Autonomous Control and IT Center, Electrical and Computer Engineering, North Carolina A&T State University, Greensboro, 27411, USA3
Aristotle University of Thessaloniki, Department of Informatics, Box 451, 54124 Thessaloniki, Greece3
Department of Electrical Engineering, National Taipei University, New Taipei City, Taiwan3
Institute of Information Science, Beijing JiaoTong University, 100044, China3
Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan3
Sabanci University, Turkey3
Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Reggio Emilia, Italia3
NTT Corporation, Atsugi, Japan3
State Key Laboratory of Management and Control for Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China3
Computer Graphics and Immersive Technologies (CGIT) laboratory of Computer Science department, University of Southern California, CA, USA3
University of Buckingham, Buckingham, United Kingdom3
School of Computer Science and Technology, Hubei University of Science and Technology, P. R. China3
Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beersheba, Israel3
Department of Radiology and the Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA3
Department of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou, China3
School of Information Science and Engineering, Ocean University of China, Qingdao, China3
University of Technology, Sydney, Australia3
University of Melbourne, Australia3
Escuela de Ingeníeria Informática, Universidad Católica de Temuco, Temuco, Chile3
Oxford Brookes University, Oxford, UK3
Harbin Institute of Technology Shenzhen Graduate School, 518055 Guangdong China3
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany3
State Key Lab. LIESMARS, Wuhan University, China3
Multimedia Department, EURECOM, 2229 Route des Cretes, 06560 Sophia-Antipolis, France3
State Key Laboratory on Intelligent Technology and Systems, National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, China3
Department of Computer Graphics and Multimedia, Universiti Teknologi Malaysia, Johor Bahru, Malaysia3
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, China3
Computer Vision Lab, Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando3
LIP, UPMF, Grenoble, Cedex3
University of Milan, Italy3
IDIAP Research Institute, Martigny Lausanne3
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, USA3
Department of Computer Engineering, Istanbul Technical University, Istanbul, Turkey3
Department of Mechanical Engineering, Ajou University, Suwon, Korea3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, China3
Dublin City University, Dublin, Ireland3
School of Computer Science and Software Engineering, University of Wollongong, Wollongong, Australia3
Australian Center for Visual Technologies, and School of Computer Science, The University of Adelaide, Adelaide, Australia3
Keio University, Yokohama, Japan3
SoC Platform Research Center, Korea Electronics Technology Institute, Yongin and Sungnam, Republic of Korea3
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong3
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R. China3
Dept. of Inf. Technol., Univ. of Turku, Finland3
Department of Electronic Measuring systems, Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Moscow, Russia3
Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Information Technology, Dharmsinh Desai University, Nadiad, India3
NICTA and School of ITEE, The University of Queensland, Level 5, Axon Building, Staff House Rd, St Lucia, The University of Queensland, Australia3
KDDI R&D Laboratories Inc., Fujimino, Saitama, Japan3
University of California, at Berkeley3
Department of Computer Science, TU Darmstadt, Darmstadt, Germany3
Faculty of Engineering, Department of Electrical Engineering, Aswan University, Egypt3
Institute for Human-Machine Communication, Technische Universität München3
Department of Electronics Information Engineering, Xi'an Technological University, China3
Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, India3
Department of Industrial Engineering, Università degli Studi di Salerno, Italy3
MIT Lincoln Laboratory, 244 Wood Street, Lexington, MA 024203
Dalian University of Technology, School of Software Tuqiang St. 321, Dalian, 116620, China3
Mitsubishi Electric Research Labs (MERL), Cambridge, Massachusetts, USA3
University of California, Santa Barbara3
Shenzhen Graduate School, Peking University, Shenzhen, China3
Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany3
Faculty of Informatics, Technische Universitat München, 85748 Garching, Germany3
School of Communication Engineering, Hangzhou Dianzi University, China3
School of Computer Science, Hubei University of Technology, Wuhan, China3
School of Electrical and Computer Engineering, University of Electronic Science and Technology of China, Chengdu, China3
Pompeu Fabra University, Barcelona3
University of Kent, Canterbury3
TELECOM & Management SudParis, Evry3
School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland3
Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand3
Michigan State University, East Lansing, 48824, USA3
Department of Computer Science and Technology, Huaqiao University, Xiamen, China3
Data Science Department EURECOM, Biot, France3
Department of Computer and Information Science, Fordham University, Bronx, NY 10458, USA3
Department of Political Science, Communication, Engineering and Information Technologies, University of Sassary, Italy3
Harvard University, Boston, MA, USA3
Department of Information Engineering at the University of Padua, Italy3
Aalto University, Helsinki, Finland3
Graduate Institute of Networking and Multimedia, National Taiwan University, Taiwan3
School of Electronic & Information Engineering, South China University of Technology, China3
Institute of Technology and Science, Tokushima University, 2-1 Minamijyousanjima, 770-8506, Japan3
Norwegian Biometrics Laboratory, NTNU - Gjøvik, Norway3
Osaka University Osaka, Japan3
Centre for Research and Technology Hellas, Thessaloniki, Greece3
LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, 75013, France3
Media Integration and Communication Center, University of Florence, Florence, Italy3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, China3
School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea3
Radboud University Nijmegen, Nijmegen, The Netherlands3
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China 4300743
City University of Hong Kong, Hong Kong, Hong Kong3
Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia3
Chinese Academy of Sciences, China3
Vision Laboratory, LARSyS University of the Algarve, Faro, Portugal3
Department of Computer Engineering, Sejong University, Seoul, 143-747, Korea3
Mobile Robots Research Lab., Faculty of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 15875-4413, Iran3
UtopiaCompression Corporation, 11150 W. Olympic Blvd, Suite 820, Los Angeles, CA 90064, USA3
Chubu University, Japan3
Dept. of Comput. Sci., London Univ., UK3
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore and the ST Engineering - NTU Corporate Lab, Nanyang Technological University, Singapore3
Computer Science Department, University of Technology, Baghdad, Iraq3
Research Institute of Computer Science and Technology, Ningbo University, China, 3152113
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China3
Key Laboratory of Machine Perception (Ministry of Education) Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
GREYC Laboratory, ENSICAEN - Université de Caen Basse-Normandie - CNRS, ENSICAEN 6, boulevard maréchal Juin 14050 Caen Cedex 4 FRANCE3
School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, CO 130012 China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China3
School of Automation, Wuhan University of Technology, Wuhan, China3
Department of Computer Engineering, Uka Tarsadia University, Bardoii, India3
Biometrics Res. Lab., Univ. Politecnica de Madrid, Spain3
School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, 75080, USA3
FZI Research Center for Information Technology, Karlsruhe, Germany3
Universidade de São Paulo, São Paulo, São Paulo3
School of Software Engineering, Chongqing University, 401331, China3
Delft University of Technology, Delft, The Netherlands3
National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China3
The Hong Kong Polytechnic University, Hong Kong, P. R. China3
Osaka University3
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University3
University of Southern California, and USC Institute for Creative Technologies3
Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan3
INRIA Grenoble Rhône-Alpes Research Center, 655 avenue de l'Europe, 38 334 Saint Ismier Cedex, France3
School of Computing, Informatics, Decision System Engineering, Arizona State University, Tempe, AZ, 85287, USA3
Katholieke Universiteit Leuven3
LIASD research Lab., University of Paris 8, 2 rue de la Liberté, 93526 Saint-Denis cedex, France3
Ubiquitous Computing, Lab, Kyung Hee, University, Korea3
Computer Sci. & Tech. Dept., Tsinghua University, Beijing 100084, P. R. China3
Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany3
Faculty of Computer and Information Science, University of Ljubljana, Trřaška 25, Slovenia3
National Institute of Standards and Technology, Gaithersburg, MD, USA3
Indian Institute of Information Technology, Allahabad-211012, India3
CENTRALESUPELEC/IETR UMR6164, Team FAST (Facial Analysis, Synthesis and Tracking) Avenue de la Boulaie, 35576, Cesson-Sévigné, France3
Department of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, Windsor, N9B 3P4, Canada3
University of Texas at Arlington, Arlington, TX, 760193
School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, China3
National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China, 1001903
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China3
Department of CS&E, Indian Institute of Technology, Madras, India3
Computer Science and Electrical Engineering of GSST, Kumamoto University, Japan3
CRIStAL (UMR CNRS 9189) - Lille 1 University - Villeneuve d'Ascq, France3
Computer Engineering, Rochester Institute of Technology, New York 14623-5603, United States of America3
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P.R China3
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R China3
CVPR Unit, Indian Statistical Institute, Kolkata 700108, India3
Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Andhra Pradesh, India 5022053
Universiti Teknologi Malaysia3
Xerox Research Center in Webster, NY 14580, USA3
Faculty of Mechanical Maritime and Materials Engineering, Delft University of Technology, The Netherlands3
School of Engineering and Technology, University of Hertfordshire, Hatfield, AL10 9AB, UK3
University of Manitoba, Winnipeg, Canada3
School of Electronics and Information Engineering, Beihang University, and National Key Laboratory of CNS/ATM, Beijing, 100191, P. R. China3
MICC - Media Integration and Communication Center, University of Florence3
Institut Mines-Télécom/Télécom Lille, Laboratoire d'Informatique Fondamentale de Lille, Lille LIFL UMR, France3
Electrical and Computer Engineering3
State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China3
Disney Research Pittsburgh, Pittsburgh, PA, USA3
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science, Beihang University, Beijing, China3
Information Engineering School, Zhengzhou University, China3
School of Automation, Southeast University, Nanjing 2100963
Dept. of Electronics and Information Engineering, Huazhong Univ. of Science and Technology, China3
Yonsei University, Seoul 03722, South Korea3
Univ. Bordeaux, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France3
University of California Santa Barbara3
National Laboratory of Pattern Recognition CAS Center for Excellence in Brain Science and Intelligence Technology Institute of Automation, Chinese Academy of Sciences, 100190, China3
University of Paris 8 - Vincennes, Saint-Denis3
Center for Research on Intelligent Perception and Computing, Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences3
Sfax University, Tunisia3
Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA3
Tianjin University, China3
School of Automation, Huazhong University of Science and Technology, Wuhan, China3
Dept. of Electrical & Computer Engineering, University of Auckland, Auckland, New Zealand3
Department of Computer Science, Punjabi University, Patiala, India3
College of Science Shengyang, Ligong University, Shenyang, 110159, China3
School of Computer Science, Carnegie Mellon University, Pittsburgh, USA3
Graduate School of Shenzhen, Tsinghua University, Beijing, China3
Institute for Advanced Computer Studies, University of Maryland, College Park, USA3
College of Computer Science, Nanjing University of Science and Technology, 210094, China3
Graz University of Technology, Graz, Austria3
MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, China3
Department of Electrical and Computer Engineering, University of Windsor, Canada3
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Tronoh, Malaysia3
University of Chinese Academy of Sciences & Chinese Academy of Sciences, Beijing, China3
Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai 200433, China3
Bar Ilan University, Ramat Gan, Israel3
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China3
Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, CEP 21945-970, Brazil3
Information Technologies Institute, Centre of Research & Technology - Hellas, Thessaloniki 57001, Greece3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast, BT7 1NN, United Kingdom3
R&D Centre Algoritmi, School of Engineering, University of Minho, Portugal3
Georgia Institute of Technology, Atlanta, GA3
National Laboratory for Parallel and Distributed Processing, School of Computer, College of Computer, National University of Defense Technology, Changsha, China3
IMAGO Research Group, Universidade Federal do Paraná, Brazil3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central, Lancashire, Preston PR1 2HE, United Kingdom3
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, China3
Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China3
Sharif University of Technology, Tehran, Iran3
Laboratoire d' Imagerie, de Vision, et d'Intelligence Artificielle, École de Technologie Superiéure ( ÉTS), University of Quebec, 1100, rue Notre-Dame Ouest, Montreal, Canada, H3C 1K33
Department of Computer Science, Hong Kong Baptist University, Hong Kong, China3
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070 Koblenz, Germany3
Data Analytics Technology & Applications Research Institute, Institute for Information Industry3
Dept. of Computer Engineering of Keimyung University, Daegu 704701 S. Korea3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States3
Intel Labs China, Beijing, China3
Department of Computer Science and Operations Research, University of Montreal, Canada3
School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China3
Faculty of Electronics and Computer Sciences University of Sciences and Technology Houari Boumediene Algiers, Algeria3
Computer and Automation Research Institute, Hungarian Academy of Sciences, Hungary3
D.I.I. - University of Modena and Reggio Emilia, Italy3
School of Mathematical Sciences, Xiamen University, Xiamen, China3
Software School, Xiamen University, Xiamen, China3
INRIA, Rocquencourt, France3
Department of Computer Science and Engineering, Fudan University, Shanghai, China3
Institute of Mathematics and Computer Sciences, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil3
Amirkabir University of Technology, Tehran, Iran3
Dept of CSE, IIT, Guwathi, India3
Chongqing University, Chongqing, China3
SICISI unit, ESSTT, University of Tunis, 5 Av. Taha Hussein, I008, Tunis, Tunisia3
Department of Electrical and Computer Engineering, University of Missouri, MO, 65211, USA3
Intelligent Data Center, School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, China3
Carnegie Mellon University, Pittsburgh, PA3
Department of Electrical Engineering, IIT Delhi, New Delhi, India3
Guangdong Key Lab of Comp. Vis. & Vi. Real., Shenzhen Institutes of Advanced Technology, CAS, China3
Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia3
NEC Soft, Ltd., 1-18-7 Shinkiba, Koto-ku, Tokyo 136-8627, Japan3
School of Computer Science and Software Engineering, The University of Western Australia, Crawley, Australia3
Department of Electrical Engineering Isfahan University Isfahan, Iran3
Digital Imaging Research Centre, Kingston University Kingston-upon-Thames KT1 2EE, UK3
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213 USA3
Computer Science, University of Houston, Texas 77004, United States of America3
LIIAN Laboratory, Department of Informatics, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco3
Shanghai Institute of Applied Physics, Chinese Academy of Science, China3
Mando Softtech India Pvt. Ltd., Gurgaon, India3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China3
Dept. of Electronics and Comm., M.S. Ramaiah Inst. of Tech., Bangalore - 560054, India3
Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil3
Dept. of Computer Science and Engineering, University of Notre Dame3
School of Communication and Information Engineering, Beijing University of Posts and Telecommunications, Beijing, China3
School of Computer Science and Communication Engineering, Guangxi University of Science and Technology, Liuzhou, 545006 China3
Cognitive Science Department, School of Information Science and Engineering, Xiamen University, Xiamen, China2
Bio-computing research center, Shenzhen Graduate School Harbin Institute of Technology, China2
San Jose State University, Department of Computer Science, San Jose, CA, U.S.A.2
IRIB University, 19395-1746, Niayesh Ave., Tehran, Iran2
Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 1175762
Harvard University, Cambridge, MA, USA2
U2IS, ENSTA ParisTech, Université de Paris-Saclay, 828, Bd des Maréchaux, 91762 Palaiseau CEDEX - France2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, MO, USA2
Michigan State University, East Lansing, MI, U.S.A.2
Department of Electrical Engineering, Universidad de Chile, Av. Tupper 2007, Santiago, Chile2
University of Seville , Seville, Spain2
Institute of Image & Graphic, Computer Science Department of Sichuan University, Chengdu, 610064, China2
Department of Electrical Engineering, Indian Institute of Technology Kanpur, UP, India 2080162
Ritsumeikan University, Kasatsu-shi, Japan2
Dept. of Computer Science & Engineering, University of South Florida, Tampa, 33620, United States of America2
Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, Korea2
Department of Electronics and Communication, R.V. College of Engineering, Bangalore, India2
University of Massachusetts-Amherst, Amherst, MA, USA2
Dept. of CSE, Indian Institute of Technology Guwahati, Guwahati, Assam, India2
Technical University of Catalonia, Barcelona, Spain.2
Faculty of Computer and Information Technology Engineering, Qazvin branch, Islamic Azad University, Iran2
Dept. of Electronics and Communication, MSRIT, Banglore, India2
Computer Engineering Program, University of Virginia, Charlottesville, Virginia 229042
Department Informatik, Hamburg University of Applied Sciences, Hamburg, Germany2
Department Informatik, Hamburg University of Applied Sciences, Engineering and Computing, University of the West of Scotland2
Robotics Institute at Carnegie Mellon University, USA2
Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland2
Siemens Corporate Technology, Princeton, NJ, USA2
University of Siena, Siena, Italy2
Department of Computer Science, University of California at Irvine, Irvine, CA, USA2
Peking University Shenzhen Graduate School & Peking University, Beijing, China2
Computer Vision and Robotics Research Laboratory, University of California San Diego, United States of America2
School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea2
Nanyang Technological University, Block N4, Nanyang Avenue, Singapore2
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China, 2100942
Department of Computer Science, University of Indonesia, Depok 16424, Indonesia2
College of Information Engineering, Shanghai Maritime University, Shanghai, China2
Dept. of Electrical Engineering, National Tsing-Hua University, Taiwan2
Foundation for Research and Technology--Hellas (FORTH), Heraklion, Greece2
Faculty of Engineering, Bar Ilan University, Israel2
Charles Perkin Centre, Faculty of Medicine, University of Sydney, Australia2
Charles Perkin Centre, Faculty of Engineering, University of Sydney, Australia2
Dept. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu, Taiwan2
Samsung Research America2
U. of California, Santa Barbara, USA2
Laboratory of Computer, Vision and Media Technology (CVMT), at Aalborg University, Niels Jernes, Vej 14, Aalborg, Denmark2
Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine2
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, CHINA2
School of Computer Science, Northwestern Polytechnical University, Xian, Shaanxi, China2
Intel Corporation, Singapore, Singapore2
School of Software Engineering, Beijing University of Technology, P.R. China2
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong2
Centre for Development of Advanced Computing (CDAC), Kolkata, India2
Department of Electrical and Computer Engineering, University of Massachusetts, 285 Old Westport Road, North Dartmouth, MA, 02747, USA2
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, China2
The University of Alberta, Canada2
Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria2
Charles Sturt University, Wagga Wagga NSW, Australia2
Sunway University, Selangor, Malaysia2
Hexi University, Center for Information Technology, Zhangye, China2
Computer Engineering, Rochester Institute of Technology, Rochester, USA2
Electrical and Electronic Engineering, Nazarbayev University, Astana, Kazakhstan2
Global Big Data Technologies Centre (GBDTC), University of Technology Sydney, Australia2
School of Computer Science and Engineering, Northwestern Polytechnical University, P.R.China2
Department of Computer Science, Rani Channamma University, Belagavi, Karnataka, India2
Vision and Pattern Recognition Systems (VisPRS) Research Group Muhammad Ali Jinnah University, Islamabad, Pakistan2
Research School of Engineering, National ICT Australia, Australian National University, Canberra, ACT, Australia2
Department of Computer Science, Rutgers University, Piscataway NJ, USA2
Department of Electrical Engineering, The City College of New York, New York NY, USA2
Bilgisayar Mühendisliği Bölümü, Ankara Yıldırım Beyazıt Üniversitesi, Ankara, Türkiye2
Department of Computer Science & Engineering, Manonmaniam Sundaranar University, Tirunelveli-627012, India2
Department of Electrical Engineering, American University of Sharjah, UAE2
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil, Ecuador2
King Abdulaziz University, Jeddah, Saudi Arabia2
Computer Science Department Technical University of Cluj-Napoca, Romania2
University of Mauritius, Reduit, 230, Mauritius2
UFMG & Kunumi, Belo Horizonte, Brazil2
EECS, Northwestern University, USA2
Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan2
Dept. of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, ON, Canada2
GIPSA-Lab, Grenoble Institute of Technology, France2
Department of Computer Science, University of Calgary, Canada2
Department of Computer Engineering, Bogazici University, Istanbul, Turkey2
Korea Advanced Institute of Science and Technology2
Department of Radiology; Medical Physics, University Hospital Freiburg, Freiburg, Germany2
New Jersey Institute of Technology, Department of Electrical & Computer Engineering, University Heights Newark, NJ 07102 USA2
Center for Biometrics Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Department of computer science, University of Bridgeport, Bridgeport, CT, 06604, USA2
Department of ECE, ASRI, Seoul National University2
Institute of Informatics and Telecommunications NCSR 'Demokritos' Athens, Greece2
Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27, Czech Republic2
Instituto de Microelectronica de Sevilla, IMSE-CNM-CSIC, Spain2
Strategic Analytics, lastminute.com group, Chiasso, Switzerland2
University of Colombo School aof Computing, University of Colombo ∗No 35, Reid Avenue, Colombo 72
Computer Science and Engineering, Easwari Engineering College, Chennai, India2
Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai-600 0362
IBM Research - Tokyo, Japan2
Department of mechanical Engineering Faculty of Sciences and Technology University Sidi Mohamed Ben Abdellah Fez, Morocco2
Department of Computer Science, College of Engineering Munnar, Idukki, Kerala, India2
Computer & Energy Engineering, Arizona State University, School of Electrical, Tempe, Arizona, USA2
Department of Computer Science & Engineering, University of Ioannina, 45110, Greece2
Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany2
University of Illinois at Urbana-Champaign, IL2
CEA, LIST, France2
Jiangsu University of Science and Technology, Zhenjiang, China2
Department of Computer Science and Engineering, Michigan State University, E. Lansing, MI 48824, USA2
Institute for Infocomm Research, 21 Heng Mui, Keng Terrace 119613 Singapore2
IIIT Guwahati2
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA2
School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia2
School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, United Kingdom2
Center of Excellence in Science and Technology, Islamabad, Pakistan2
Department of Computer Engineering, Alzahra University, Tehran, Iran2
RET, Las Vegas, Nevada2
BV-Tech Ricerca, Rovereto (Italy)2
FBK Trento (Italy)2
DISI - University of Trento, Trento (Italy)2
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia2
University of Borås, Borås, Sweden2
Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY, USA2
National school of electronics and telecommunications, University of Sfax, Tunisia2
Osaka University Health Care Center, Japan2
Applied Informatics, Faculty of Technology, Bielefeld University, Germany2
Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Barcelona, Spain2
Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China2
Space Control and Inertial Technology Research Center, Harbin Institute of Technology, China2
Morpho, SAFRAN Group, 11 Boulevard Galliéni 92130 Issy-Les-Moulineaux - France2
Department of Computer Engineering, Siirt University, Siirt, Turkey2
Biometric Technologies Laboratory, Department of Electrical and Computer Engineering, University of Calgary, Alberta, T2N 1N4 Canada2
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea2
Norwegian Biometrics Laboratory, Norwegian University of Science and Technology (NTNU), 2802 Gj⊘vik, Norway2
International Institute of Information Technology (IIIT) Hyderabad, India2
School of Information Science, Computer and Electrical Engineering, Sweden2
Institut d'Électronique Fondamentale - Universite Paris Sud2
Renault S.A.S.2
Dept. of Computer Science & Engineering, Arizona State University, Tempe, 85287, USA2
Electronics Department, University of Alcalá (UAH), Spain2
Centre for Vision Speech and Signal Processing, University of Surrey, UK2
Computer and Electronics Security Systems, Northumbria University, UK2
Institute of Robotics, Innopolis University, Russia2
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA 90089, USA2
Daimler AG, R&D, Germany2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, Beijing, China2
Key Laboratory of Machine Perception, Ministry of Eduction, Peking University, Beijing, China2
University of Sciences and Technology, USTHB University, BP 32, El Alia, Algiers, Algeria2
Department of Electrical Engineering, The City College of New York, 10031, USA2
Academy of Broadcasting Science, Beijing, P.R. China2
Xinjiang University, China2
Dept of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece2
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, SP Brazil2
Department of Information Management, National Formosa University, Huwei, Yulin 632, Taiwan2
Institute of Logic and Intelligence, Southwest China University, Chongqing, China2
Computer Engineering Department, Cyprus International University, Lefko¿a, North Cyprus2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Eski¿ehir Osmangazi Üniversitesi, Turkey2
Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA2
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea2
Electrical Engineering and Computer Science, University of California at Merced, Merced, USA2
Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea2
Korea Electronics Technology Institute, Seongnam, Republic of Korea2
Department of ECE, UCEK, JNTUK, Kakinada2
Kunming University of Science and Technology, Kunming, China2
CNRS UMR7222, Sorbonne Université, Institut des Systèmes Intelli-gents et de Robotique, Paris, France2
Department of Information Technology, Uppsala University, Sweden2
Disney Research, Pittsburgh, PA, USA2
Yokohama Research Laboratory, Hitachi, Ltd., Yokohama, Japan2
University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA2
Cranfield University, Shrivenham SN6 8LA, United Kingdom2
Beijing Jiaotong University, China2
Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA2
Dept. of Mathematics and Scientific Computing, IIT Kanpur, Uttar Pradesh, India-2080162
Department of Computer Science and Engineering, University of Califonia, San Diego2
Department of Computer Science and Technology, Tsinghua University, Beijing2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, SEOUL, Republic of Korea2
Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia2
School of Communication Engineeringm, Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, China2
Dept. of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh2
Computer System Department, Belarusian State University of Informatics and Radioelecrtronics, 6 P. Brovka st, Minsk, Belarus2
Department of Computer Science, San Jose State University, San Jose, CA2
School of Design, South China University of Technology, Guangzhou 510006, China2
MNIT Jaipur, India2
CIISE, Concordia University, Montréal, Québec, Canada2
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland2
Escuela Superior Politecnica del Litoral, Guayaquil, Ecuador2
Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador2
Aix Marseille Univ LIF/CNRS, France2
Institute of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan2
The Open University of Israel, Israel2
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an Shaanxi, China2
Griffith School of Engineering, Griffith University, Brisbane, Australia2
Bio-Computing Research Center, Shenzhen, Harbin Institute of Technology, Shenzhen, China2
Skolkovo Institute of Science and Technology (Skoltech), Novaya Street 100, Moscow Region, Russia2
Center for Automation Research, EE Department, University of Maryland, College Park, 20742, USA2
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 021382
The Rowland Insitute at Harvard, Harvard University, Cambridge, MA 021422
College of Information Science and Engineering, Ocean University of China, Qingdao, China2
Halmstad University, Halmstad, Sweden2
Linköping University, Linköping, Sweden2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Video and Image Processing System (VIPS) Laboratory, School of Electronic Engineering, Xidian University, Xi’an, China2
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 404100, China2
College of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 404100, China2
Service Systems Technology Center, Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan 31040, R.O.C2
Department of Electrical Engineering, University of Washington, Box 352500, Seattle, WA 98195, USA2
Poznan University of Technology, Department of Computing, Division of Signal Processing and Electronic Systems, Poznań, Poland2
CyLab Biometrics Center and Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA2
Computer Science and Engineering, G. H. Raisoni College of Engineering, Nagpur (MS), India2
Laboratory ISA Faculty of Science and Technology, Fez, Morocco2
Photogrammetry and Remote Sensing, ETH Zürich, Switzerland2
University of Waterloo, Waterloo, ON, Canada, N2L 3G12
Ideal Institute of Information and Technology, Northeast Normal University, NENU, Changchun, China2
Boǧaziçi University, Istanbul, Turkey2
Faculty of Science and Technology, University of Macau, Macau 999078, China2
IDIAP Res. Inst., Martigny, Switzerland2
Rutgers University, Piscataway2
Dept. of Information Science, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan2
Biomedical Engineering Programme, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand2
Dept. of Computer Science, University of California, Irvine2
Dipartimento di Informatica Bioingegneria Robotica e Ingegneria dei Sistemi, Università degli Studi di Genova, Genoa, Italy2
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China2
Technological Educational Institute of Crete (TEI), Department of Informatics Engineering, Heraklion, Crete, Greece2
Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece2
Centre de Recherche et Développement de la Gendarmerie Nationale, (CRD-GN), Algier, Algeria2
Centre de Développement des Technologies Avancées, Division Architecture des Systèmes, Cité 20 Août 1956, BP 17, Baba Hassen, 16303, Algier, Algeria2
University of Hong Kong, China2
School of Electronics and Information Technology, Sun Yat-Sen University2
University of Chinese Academy of Sciences2
MICC, University of Florence, Florence, Italy2
Electronics and Communication Engineering, Karunya University, Coimbatore, India2
Faculty of Mathematics and Natural Sciences, University of Bonn, Germany2
Department of Mechanical Engineering, National Taiwan University, 10647, Taipei, Taiwan2
Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand2
University of Colorado at Colorado Springs, Colorado Springs, CO, USA2
School of Computer Science, Shaanxi Normal University, Xi'an, China2
Grupo de Investigación en Automática, Universidad Tecnológica de Pereira2
STARS team, Inria Sophia Antipolis-Méditerranée, Sophia Antipolis, France2
Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), ECE Dept., University of Massachusetts Lowell, 01854, USA2
Computing and Information Systems, Kingston University London, UK2
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning Province, China2
School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning Province, China2
Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China2
Automation Department, North China Electric Power University, Baoding, 071003, China2
Department of Electrical and Computer Engineering, University of Victoria, BC V8W3P6, Canada2
Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore2
Department of Information Science and Technology, Anna University, Chennai, India2
Department of Computer Science, University of Houston, TX 77004, United States of America2
JD Artificial Intelligence Research, Beijing, China2
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong2
School of Engineering, Cardiff University, UK2
Islamic Azad University, South Tehran Branch, Electrical Engineering Department, Iran2
Department of Automation, University of Science and Technology of China, Hefei 230027, China2
Research School of Computer Science, Australian National University, Australia2
California State University, Fullerton2
Department of Telecommunication, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan2
Univ. Bordeaux, CNRS, IMS, UMR 5218, F-33400 Talence, France2
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India2
LITIV Lab., Polytechnique Montreal2
Department of Computer and Information Science, University of Macau2
Vision and Pattern Analysis Laboratory, Sabanci University - Faculty of Engineering and Natural Sciences, Istanbul, Turkey2
Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan2
Department of Automation, Shanghai Jiao Tong University, China2
Graduate School, Air Force Engineering University, Xi’an, China2
Multimedia Communications Department, EURECOM, Sophia-Antipolis, FRANCE2
Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India2
Northwestern Polytechnical University Xian, P. R. China2
Northwestern Polytechnical University, Xian, P. R. China, and UNC-Charlotte, Charlotte, NC2
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China2
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 2002402
Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genova, Italy2
Department of Biomedical Engineering, Jungwon University, Chungcheongbuk-do, Republic of Korea2
Queen Mary, University of London, London, UK2
Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK2
Elektrik-Elektronik Mühendisliği Bölümü, Işık Üniversitesi, İstanbul, TÜRKİYE2
Information Engineering and Medical Imaging Group, City University London, London, UK2
Ryerson Multimedia Lab, Ryerson University, Canada2
Department of Electronics Engineering, Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan2
Sorbonne Universites, universite de technologie de Compiegne, CNRS, UMR 7253 Heudiasyc-CS 60 319, 60 203 Compiegne Cedex, France2
Centro de Informática, Universidade Federal de Pernambuco, Av. Luiz Freire s/n, 50670-901, Recife, Brazil2
School of Electrical and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China2
Informatics and Telematics Institute Centre for Research and Technology Hellas, Greece2
Dept. of Electrical and Computer Engineering, Western Michigan University, USA2
Centre for Unified Biometrics & Sensors, Sensors Univ., Buffalo, NY, USA2
Electrical and Electronic Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey2
Center for Design Research, Stanford University, CA, USA2
Institute of Computing, University of Campinas (UNICAMP), SP, 13083-852, Brazil2
National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki 305-8568, Japan2
Faculty of Electrical Engineering, University of Banja Luka, Bosnia, Herzegovina2
Department of Mathematics and Computer Science, Northeastern State University, OK, USA2
University of Illinois at Chicago2
George Mason University, Fairfax, USA2
Department Of Artificial Intelligence, Faculty of Computer Science & Information Technology, Kuala Lumpur, Malaysia2
Department of Electrical Engineering, National Institute of Technology, Rourkela-769008, India2
Corp. Res. & Dev., Toshiba Corp., Tokyo, Japan2
School of Science, Beijing University of Posts and Telecommunications, Beijing, China2
Laboratory of Computer Vision and Media Technology, Aalborg University, Denmark2
Department of ECE, Global Academy of Technology, Bangalore, Karnataka, India2
Dept. of Electronics and Telecommunication Engg., KCT's Late G.N. Sapkal college of Engineering, Nashik, India2
Department of Computer Science, Cornell University, Ithaca NY, 14853, USA2
Comput. Vision Lab., Maryland Univ., College Park, MD, USA2
Student, IEEE2
Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA 24061, USA2
Istanbul Technical University, Informatics Institute, 34469, Turkey2
ENST, Bretagne, GET-ENST, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
FMV IŞIK Üniversitesi, Şile, Istanbul2
College of Information Engineering, Nanchang University, Nanchang, China2
Department of Computer ScienceComputational Biomedicine Laboratory, University of Houston, Houston, TX, USA2
Dept. of Electrical & Electronics Engineering, Nooral Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India2
CVIT, IIIT Hyderabad2
School of Engineering Science, Simon Fraser University, Burnaby, Canada2
Computer Vision Laboratory, GIST, South Korea2
Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology2
Academy of Broadcasting science, Beijing, China, 1008662
Elektrik ve Elektronik Mühendisliği Bölümü, Bilecik Üniversitesi, Turkey2
University of Illinois at Urbana-Champaign (UIUC)2
Florida Atlantic University, Boca Raton, FL, USA2
Department of Electrical and Computer Engineering, University of Delaware, Newark, USA2
Computer Application Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China2
Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
Department of Computer Science, Drexel University, USA2
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China2
Rapid-Rich Object Search Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore2
The School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, P.R. China2
Department of Computer Science and Engineering of Systems, University of Zaragoza, Escuela Universitaria Politécnica de Teruel, Teruel, Spain2
POSTECH, 37673 Pohang, Korea2
LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France2
Department of Intelligent Systems, Graduate School of Information Science and Electrical Engineering, Kyushu university, Fukuoka, Japan2
Department of DMC Engineering, Sungkyunkwan University, Suwon, South Korea2
School of Information Technology and Electrical Engineering, the University of Queensland, Australia2
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C2
UIIP, Minsk, Belarus2
BSUIR, Minsk, Belarus2
South Base, China Mobile, Guangzhou, China2
Indian Institute of Technology, Kharagpur, West Bengal 721302, India2
School of Electronic and Information Engineering, Beihang University, Beijing, 100191, China2
Robert BOSCH Research and Technology Center, Palo Alto, CA 94304, USA2
National Chung Hsing University, Taichung2
Università di Salerno, Fisciano (SA), Italy2
Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney Playa, Havana, Cuba2
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, School of Computer Science, Beijing Institute of Technology, Beijing, China2
National Technical University of Athens, Heroon Polytechniou, Athens2
German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany2
College of Engineeing & informatics, National University of Ireland Galway Galway, Ireland2
CSE, SUNY at Buffalo, USA2
Dept. of Computer Science and Engineering Nagoya Institute of Technology Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan2
University of Texas at El Paso, 500 W University Ave - El Paso TX 799682
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong2
Jiangsu Key Laboratory of Big Data Analysis Technology, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China2
Department of Computer Engineering, Mahanakorn University of Technology, 140 Cheum-Sampan Rd., Nong Chok, Bangkok THAILAND 105302
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300812
Department of Electronics and Communication Engineering, PEC University of Technology, Chandigarh-160012, India2
National University of Defense Technology, Changsha, Hunan2
Department of Computer Engineering, Istanbul Technical University, Turkey2
Informatics Institute, Istanbul Technical University, Turkey2
Computer Science and Information Management, Asian Institute of Technology, Pathumthani, Thailand2
School of Information Engineering, Nanchang University, Nanchang, China2
College of Science and Technology, Nanchang University, Nanchang, China2
Yandex, Moscow2
Tsinghua University, Beijing, P. R. China2
Dept. of Comput. Sci., York Univ., UK2
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Box 451, Thessaloniki 54006, Greece2
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China2
Tencent Inc2
INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France2
Department of Mechanical Engineering, University at Buffalo, SUNY Buffalo NY 14260 USA2
Department of Computer Science and Technology, East China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China2
University of Arkansas at Little Rock, USA2
CSE, Department, Regional Centre of Anna University, Tirunelveli, TamilNadu, India2
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 1001902
Computer Science and Technology Department, Tsinghua University, China2
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia2
Department of Mechanical and Aerospace Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea2
Adobe Research, San Jose, USA2
University of Sfax, LETI laboratory ENIS, BP W, Sfax, 3038, Tunisia2
Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy2
College of Information Engineering, Zhejiang University of Technology, Hangzhou 310032, China2
Telecom Lille 1, LIFL, Lille, France2
Department of Electronics & Communication Engineering National Institute of Technology, Srinagar - 190006 India2
Institute of Computing Technology, CAS, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Beijing, China2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics , Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
School of Computer Science and Engineering, University of Aizu, Tsuruga, Ikkimachi, Aizuwakamatsu, Japan2
TCS Innovation Labs, TATA Consultancy Services, Hyderabad, India2
SoICT, HUST and School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam2
UNC-Charlotte, Charlotte, NC, USA2
School of Computer Science, Hangzhou Dianzi University, Hangzhou, China2
Department of Electronic and Electrical Engineering, University of Bath, Bath, UK2
Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang, China2
Tongren Electric Power Supply Bureau of Guizhou Power Grid Co., Ltd., Tongren, China2
Department of Computer Science and Engineering, University of Chittagong, Bangladesh2
Supelec, IETR (UMR 6164) Avenue de la Boulaie, 35511, Cesson-Sevigne2
Computer Science and Engineering Dept., University of North Texas, Denton, TX, USA2
Depart. Electronics, Telecommunications & Information Technology, Polytechnic University of Bucharest, Romania2
Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA2
Computer Science and Engineering Michigan State University, East Lansing, USA2
Ritsumeikan University, Japan2
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, P.R. China2
Laboratory of Parallel Software and Computational Science, State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, Beijing, China2
Beijing Key Laboratory of Advanced Information Science and Network Technology, Institute of Information Science, Jiaotong University, 100044, China2
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, 1001902
School of Mathematics, Statistics and Computer Science University of KwaZulu-Natal Durban, South Africa2
Honda Research Institute, 375 Ravendale Dr, Suite B, Mountain View, CA, 94043, USA2
Seoul National University, Seoul, Korea2
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA2
Electrical, Computer and IT, Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran2
Karlsruhe Institute of Technology, Institute for Anthropomatics, Karlsruhe, Germany2
Signal Theory and Communications Department, University of Vigo, Vigo, Spain2
University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, New Delhi-110078, India2
The Ohio State University, Columbus2
Kochi University of Technology, Kochi, 782-8502, Japan2
Hefei University of Technology, School of Computer and Information, Hefei, Anhui, 230601, China2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Turkey2
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283 Darmstadt, Germany2
Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland2
Gwangju Institute of Science and Technology, School of Information and Communications, Gwangju, Republic of Korea2
Multimedia Communications Dept., EURECOM, Sophia Antipolis, France2
Security & Safety Systems Development Office, Tokyo R&D Center, Panasonic Corporation2
University Polytechnica of Bucharest, Bucharest, Romania2
Ghent University, Zwijnaarde, Belgium2
Control Systems Laboratory, School of Mechanical Engineering, National Technical University of Athens, Greece2
ENSTA ParisTech, UIIS Lab University of Paris-Saclay, 91762 Palaiseau, France2
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 10091, China2
Information Technology University (ITU), Punjab, Lahore, Pakistan2
School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an, China2
Department of Computing, The University of the West Indies, Mona Campus, Jamaica2
Wrocław University of Science and Technology, Wrocław, Poland2
Institute of Remote Sensing and GIS, Peking University, Beijing, China2
Pattern Recognition Laboratory, Delft University of Technology, Mekelweg 4, 2628 CD Delft, the Netherlands2
Wayne State University, Detroit, USA2
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh2
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA2
LIMSI-CNRS, Orsay, France2
Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA, USA2
Computer Vision and Robotics Group , University of Girona, Girona, Spain2
Department of Electronic and Information Engineering, Center for Signal Processing, The Hong Kong Polytechnic University, Hong Kong2
Firmenich SA, Geneva2
Max Planck Institute for Intelligent Systems2
MediaTek Inc., Hsinchu, Taiwan2
School of Information Technology, Deakin University, Burwood, VIC, 3125, Australia2
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, GU2 7XH, UK2
Key Laboratory of Optoelectronic Technology and Systems, MOE Chongqing University Chongqing, China2
Research and Engineering Education Facility, University of Florida, Shalimar, USA2
Department of Mechanical Engineering, National Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei, Taiwan2
Visual Image Processing Group, National Institute of Standards and Technology, Gaithersburg, MD 208992
Syracuse University2
Biometric Laboratory, Research and Academic Computer Network (NASK), Wąwozowa 18, Warsaw, Poland2
Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA2
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India2
School of Electronic Engineering and Computer Science, Institute of Digital Media, Peking University, Beijing, China2
ONERA - The French Aerospace Lab, F-91761 Palaiseau, France2
Learning & Game Theory Laboratory, Engineering Division, New York University, Abu Dhabi2
Départment d'Informatique, Université de Sherbrooke, QC, Canada J1K 2R12
Université Lyon, Villeurbanne, France2
Wuhan University, China2
Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China2
Department of Computer Science, Southern Illinois University Carbondale, IL, USA2
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA2
Samsung Electronics, SAIT Suwon-si, Korea2
Department of Electrical Engineering, University of Hawaii, Manoa, Honolulu, HI, 968222
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, 350121, China2
Toyota Research Institute, Cambridge, MA, USA2
School of Electrical Engineering and Computer Science, Queensland University of Technology, Gardens Point, Queensland, Australia2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China2
Applied Physics Laboratory, University of Washington, Seattle, WA, USA2
Department of Computer Science, University of Bucharest, 14 Academiei Street, Bucharest, Romania2
School of Information Science and Technology, Northwest University, Xi’an, China2
The University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science, The University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, 028812
Department of Computer Technology, YCCE Nagpur, India2
Visual Learning and Intelligence Group (VIGIL), Department of Computer Science and Engineering, India2
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, Guangdong, Peoples Republic of China2
Department of Computer Science, University of Hong Kong, Hong Kong2
University of Leeds Leeds, UK2
Department of Automation, Shanghai Jiao Tong University, 200240, China2
Biometric and Image Processing Laboratory, Università di Salerno, Via Ponte don Melillo, Fisciano, 84084, Salerno2
College of Information and Control Engineering, China University of Petroleum (East China), Dongying 257061, China2
School of Computer Sciences, Universiti Sains Malaysia, Malaysia2
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia2
Department of Automation, Shanghai Jiaotong University, Shanghai 2002402
Electronics and Communication Sciences Unit, Indian Statistical Institute, India2
School of Electrical Engineering and Computer Science at the University of Newcastle, Callaghan, NSW 2308, Australia2
School of Electrical Engineering and Computing, University of Newcastle, Newcastle, Australia2
Shanghai University of Engineering Science, Shanghai, China2
ISR - Instituto Superior Técnico, Lisboa, Portugal2
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia2
School of Information Science and Engineering, Shandong University Jinan, China, 2501002
University College London (UCL), Electronic and Electrical Engineering Department, London, U.K.2
Biometric Technologies Laboratory, Department of Electrical and Computing Engineering, University of Calgary, Alberta, Canada2
Baiyun District Bureau of Justice, Guangzhou, China2
Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France2
School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China2
2004 Route des Lucioles -BP93 Sophia Antipolis Cedex, 06902, France2
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, KKTC, via Mersin 10 Turkey2
CASIS at Clemson University, Clemson, SC 29634, USA2
Dep. of Computer Science - University of Milan Via Comelico 39, I-20135 Milan - Italy2
Jaypee Institute of Information Technology2
Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada2
Computer Science and Technology Department, Tsinghua University, Beijing 100084, China2
Intelligent Data Center (IDC) and Department of Mathematics, Sun Yat-Sen University, Guangzhou, China2
Artificial Intelligence Group, University of Bremen, Am Fallturm 1, 28359, Germany2
Imavis srl, Italy2
Samsung Advanced Institute of Technology (SAIT), Republic of Korea2
Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation2
Computer Science Division, EECS, University of California at Berkeley, USA2
Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia2
School of Computer Engineering, Shahrood University of Technology, Iran2
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, 1 University Road, Tainan, Taiwan2
School of Automotive and Traffic Engineering, Jiangsu University, China2
University of Malaga2
University of Cordoba2
City University of Hong Kong, Hong Kong, China2
Department of Computer Science, New Jersey Institute of Technology, Newark 07102, USA2
Department of Computer Science, IT: Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal2
Dept. of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York, USA2
School of Electrical and Computer Engineering, Cornell University, USA2
Xinjiang University, Urumqi, China2
University of California San Diego, La Jolla, USA2
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei Anhui, China2
GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Maréchal Juin, 14000 CAEN, France2
GRIMAAG, University of the Antilles and Guyane, Pointe-à-Pitre , France2
SDM, Dharwad, India2
BVBCET, Hubli, India2
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China2
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia2
School of Electronic Engineering, Xidian University, Xi'an 710071, China2
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia2
Department of Computer Science, Utah State University, Logan, UT, USA2
Institute of Real-Time Learning Systems, University Siegen, Hoelderlinstrasse 3, 57076, Germany2
Artificial Intelligence Group, University Bremen, Am Fallturm 1, 28359, Germany2
Institut Eurécom, Multimedia Communications Department, BP 193, 06904 Sophia Antipolis Cedex, France2
Computer Science and Engineering, Arizona State University, Tempe, AZ2
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA2
Department of Electronics and communication Engineering, Sathyabama University, Chennai2
Department of Computer Engineering, Hacettepe University, Ankara, Turkey2
Department of Computer Engineering, Bilkent University, Ankara, Turkey2
Dept. of Electron. Eng., City Univ. of Hong Kong, China2
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA2
Research department, Herta Security, Barcelona, Spain2
School of EE, Xidian University, Xi'an 710071, China2
Faculty of Computer and Information Science, University of Ljubljana, EU, Slovenia2
South East European University, Tetovo, Macedonia2
University of Wisconsin, Madison, Wisconsin2
Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, Porto Alegre, RS, 6681, Brazil2
Department of Computer Science, Shanghai Maritime University, Shanghai, China2
Electric Power Research Institute, State Grid Shanghai Electric Power Company Shanghai, 200093, China2
Information Security Group, School of Engineering and Mathematical Sciences, City University London, EC1V 0HB London, U.K2
Department of Information Technology, MCKV Institute of Engineering, Howrah, India2
Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA2
Bosch Center for Artificial Intelligence, Renningen, Germany2
Dept. of Information Engineering, University of Firenze - Italy2
Computer Science, University of Arkansas at Little Rock, USA2
Department of Computer Science and Engineering University of North Texas Denton, TX 762012
Department of Biomedical engineering, The Chinese University of Hong Kong, N.T., China2
Automated Driving Team, Robert Bosch LLC, Palo Alto, CA 943042
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, USA2
Department of Electrical Engineering Jorhat Engineering College Jorhat, Assam2
Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany2
Beijing Information Science and Technology University, School of Automation, Beijing, China2
Tatung University, Taipei City, Taiwan Roc2
Institute of Communications and Navigation, German Aerospace Center (DLR), Oberpfaffenhofen, Germany2
Institute for Communications and Navigation, Technical University Munich, Munich, Germany2
EAVISE, KU Leuven Department of Industrial Engineering Sciences, Germany2
School of Information Science, Computer, and Electrical Engineering, Halmstad University, PO Box 823, SE-301 18 Halmstad, Sweden2
Chinese Academy of Sciences and Anhui Engineering Laboratory for Intelligent Driving Technology and Appllication, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China2
University of California, Santa Cruz, Santa Cruz2
Halmstad University, IDE SE-30118 Halmstad, Sweden2
School of Engineering, Monash University, Bandar Sunway, Malaysia2
Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan2
Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan2
Brigham Young University, Provo, USA2
Research Institute of Computer Science and Technology Ningbo University, Ningbo, China2
Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244, USA2
Department of Computer, Shandong University, Weihai, China2
CRISTAL laboratory, GRIFT research group National School of Computer Sciences (NSCS) La Manouba 2010, Tunisia2
Electrical Engineering, Indian Institute of Technology, Kanpur, India2
Heriot-Watt University, Edinburgh, UK2
Mechanical and Electrical Engineering, Polish Naval Academy, Gdynia, Smidowicza 69, Poland2
Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China2
University of California Santa Cruz, Santa Cruz2
Department of Electrical Engineering, University of California Riverside, Riverside, CA2
Department of Mathematics and Computer Science, Univeristy of Udine, Udine, Italy2
Video Processing Laboratory, Department of Electrical Engineering, Yazd University, Yazd, Iran2
School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China2
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China2
Dr. G. Y. P. College, MGM, Aurangabad2
Maharashtra University of Health Sciences, Nashik2
ATR National Laboratory, National University of Defense Technology, Changsha , China2
Griffith School of Engineering, Griffith University, Nathan Campus, Brisbane, Australia2
Department of Computer Technology, YCCE, Nagpur, Maharashtra, India2
Laboratory of Visual Analysis of People (VAP), Aalborg University, Sofiendalsvej 11, 9200 Aalborg, Denmark2
Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA2
PDL, National Laboratory for Parallel and Distributed Processing, NUDT, National University of Defense Technology, Changsha, China2
School of Engineering, Griffith University, Nathan Campus, 170 Kessels Road, Brisbane, QLD 4111, Australia2
State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing 100871, China2
Department of Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea2
Faculty Of Computer and Information Technology Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran2
Cochin University of Technology, School of Engineering, Ernakulam, Kerala, India2
DIIn, University of Salerno, via Ponte don Melillo, Fisciano - Italy2
The Chinese University of Hong Kong; Multimedia Lab, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Hong Kong, Shenzhen, China2
Advanced Technology Development Center, Indian Institute of Technology, Kharagpur, 721302, India2
University College London, London, United Kingdom2
Division of Computer Engineering, Netaji Subhas Institute of Technology, Delhi, India2
Czech Technical University in Prague, Prague, Czech Rep2
Masaryk University, Brno, Czech Rep2
Charles University, Prague, Czech Rep2
Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy2
National Taipei University, New Taipei City, Taiwan2
Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy2
Hanyang University, Ansan, South Korea2
West Virginia University2
London, United Kingdom2
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada2
Dept. of Infrastructure Engineering, The University of Melbourne, Parkville 3010, Australia2
School of Computer Science and Engineering, Nanyang Technological University, Singapore6397982
Biomedical Engineering and Medical Physics Shahid Beheshti University, Tehran, Iran2
Department of Computer Science, University of Northern British Columbia, Prince George, British Columbia, Canada2
Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN2
Smart Systems Institute, National University of Singapore, Singapore2
State key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, China, 4100732
Elektrik ve Elektronik Mühendisli¿i Bölümü Bo¿aziçi Üniversitesi, Turkey2
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, 92521, USA2
French Aerospace Lab, ONERA - 91123 Palaiseau, France2
Sorbonne University, UPMC University, Paris 06, UMR 7606, LIP6 - 75005, France2
Department of Computer Science & Engineering, University of Washington, Seattle, WA 98115, USA2
Räven AB, SE-411 14 Göteborg, Sweden2
School of Computing, University of Kent, Canterbury, UK2
National Institute of Electronics and Information Technology, Aizawl Aizawl, Mizoram, India2
Computer Science Department Université de Moncton Moncton NB Canada E1A 3A92
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China2
USP - University of Sáo Paulo / ICM CLRM - Mobile Robots Lab2
CycloMedia BV, P.O. Box 68, 4180 BB, Eindhoven, NL2
Computer Science and Technology Dept., Tsinghua University, Beijing, China2
Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing, China2
Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871 Japan2
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology2
Department of Computing, Imperial College London, U.K.2
School of Information Science, Japan Advanced Instititue of Science and Technology, Ishikawa, Japan2
School of Electronics and Information Engineering, Sichuan University, Chengdu, 610064, China2
Indian Statistical Institute, Kolkata 700108, India2
Dept. of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan2
Department of Electrical and Computer Engineering, The University of Auckland, New Zealand2
ENSTA ParisTech, UIIS division, 858 Blvd des Maréchaux, 91762 Palaiseau, France2
Department of Information Engineering, Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Hubei, China2
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan2
Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile2
Deparment of Computer Science, Centro de Investigación en Matemáticas, 36240 Guanajuato, México2
Experimental and Technological Research Group - NExT/IFG, Federal Institute of Goiás, Goiânia, Brazil2
Snap Research, Venice, CA, United States2
University of Technology Sydney, Australia2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, 100081, P.R. China2
Department of Statistics, George Mason University2
Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany2
University of South Carolina, Columbia, SC, USA2
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University2
Universidade NOVA de Lisboa, Caparica, Portugal2
University of Kentucky2
Department of Electrical and Electronic Engineering, Imperial College London, London SW2 7AZ, UK2
Systems & Industrial Engineering, The University of Arizona, Tucson, AZ, USA2
School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, PO Box 600, 6140, New Zealand2
Department of Computer Science TU Darmstadt, Germany2
MPI Informatics Saarbrücken, Germany2
University of Waterloo, Waterloo, ON, Canada2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Do¿u Akdeniz Üniversitesi, Gazima¿usa, KKTC, Turkey2
Microsoft Research, Haidian, Beijing, P. R. China2
Department of Electronics at the University of Alcalá (Madrid, Spain)2
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Korea2
Tokyo Institute of Technology, Department of Information Processing, 4259-G2-4, Nagatsuta-cho, Mdori-ku, Yokohama, Kanagawa, 226-8502, Japan2
Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University , Xi'an, China2
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran2
Universidad Catolica de Chile2
Microsoft Advanced Technology Center, Beijing2
Media Computing Group, Microsoft Research Asia, Beijing2
Department of Automation, University of Science and Technology of China, Hefei, Anhui2
School of Computer and Controlling Engineering, University of Chinese Academy of Sciences, Beijing, China2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong2
Department of Electrical Engineering, National Taiwan University, Taiwan2
Artificial Vision Laboratory, Dept. of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan 1062
Department of Theoretical Neuroscience, Frankfurt Institute for Advanced Studies, Goethe University Frankfurt, Ruth-Moufang-Str. 1, 60438, Germany2
Electrical Engineering & Computer Science, University of California at Merced, USA2
Electrical Engineering Department, the University of Ulsan, Ulsan, Korea2
School of Information Engineering, Wuyi University, Jiangmen Guangdong, China 5290202
Department of Electronic and Computer Science Engineering, Pusan National University, Busan, Republic of Korea2
Florida International University, Miami, United States2
Capital University of Economics and Business, Beijing, P.R. China2
Facial Image Processing and Analysis Group, Institute for Anthropomatics, Karlsruhe Institute of Technology, D-76131 Karlsruhe, P.O. Box 6980 Germany2
University of York, YO10 5GH, UK2
Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA2
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Fl, USA2
Central Scientific Instruments Organization (CSIR-CSIO), Sector 30C, Chandigarh, India2
College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China2
Chengdu University, School of Information Science and Engineering, Chengdu, 610106, China2
Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil2
Department of Computer Science, Peking University, Beijing, China2
Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA2
College of Computer and Electronic Information, Guangdong University of Petrochemical Technology, Maoming, China2
Control & Energy Management Laboratory, University of Sfax, Sfax Engineering School, Tunisia POB 30382
College of Applied Science and Technology, Hainan University, China2
Anhui University, School of Computer Science and Technology, Hefei, China2
Anhui University, School of Mathematical Sciences, Hefei, China2
Denso IT Laboratory, Inc., Tokyo, Japan2
National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China2
School of Computational Science and Engineering, Georgia Institute of Technology2
Microsoft Research Asia, China2
Robotics Program, KAIST, Daejeon, 34141, Korea2
Computer Vision Lab, Delft University of Technology, Delft, The Netherlands2
Dept. Computer Science and Information Engineering, National University of Kaohsiung, Taiwan2
School of Science, Information Technology and Engineering, University of Ballarat, Australia2
State Key Lab of Management Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
School of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, Pakistan2
Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines2
Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland2
Nanjing Children's Hospital Affiliated to Nanjing Medical University, Nanjing, China2
College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China2
School of Engineering, Huaqiao University, Quanzhou, 362021, China2
School of Information Science and Engineering, Huaqiao University, Xiamen 361021, China2
Visual Information Lab, University of Bristol, UK2
Brazilian Navy, Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil2
École Centrale de Lille, CRIStAL, UMR CNRS 91892
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, People’s Republic of China2
Univ. Bordeaux, LaBRI Talence, France2
Computer Science and Engineering Department, Arizona State University, Tempe, AZ2
Department of Electronics Engineering, Konkuk University, Seoul, South Korea2
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, 410073, P.R.China2
Shree Vaishnav Institute of Technology and Science, Indore (M.P) India2
Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea2
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Canada2
Bilişim Enstitüsü, İTÜ, Turkey2
University of Tennessee, Knoxville, Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA2
School of Computer Science and Technology, University of Science and Technology of China2
West Virginia University, Morgantown, West Virginia, 265062
Osaka Municipal Technical Research Institute, Boulder, 536-8553 JAPAN2
Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany2
Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
CVPR Laboratory, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran2
Elektrik-Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
School of Electrical and Electronic Engineering, Tianjin University of Technology, China2
Australian Centre for Field Robotics, School of Information Technologies, University of Sydney, Australia2
School of Computing, Mathematics and Digital Technology2
Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA 021392
LICÉF research center, TÉLUQ University, Montreal (QC), Canada2
Visual Analysis of People Laboratory, Aalborg University, Denmark2
Electronics and Computer Engineering, Hanyang University, Seoul, South Korea2
Elektrik ve Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey2
Sunway University: Department of Computer Science and Networked Systems, Petaling Jaya, Malaysia2
Communications Engineering Department, National Chiao Tung University, Hsinchu, Taiwan2
Microsoft Research Asia, Haidian District, China2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China2
Department of Computer Science and Engineering, P.A College Of Enginnering And Technology, Coimbatore, India2
Key Laboratory of System Control and Information Processing, Ministry of Education, Department of Automation, Shanghai Jiao Tong University, China2
Computer Vision & Media Technology Lab, Aalborg University, Aalborg, Denmark2
MTA SZTAKI Institute for Computer Science and Control2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS)2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS) Taibah University2
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Hafez 424, Iran2
Graduate School of Information, Production and Systems, Waseda University, Japan2
Electrical Engineering Department, Sharif University of Technology, Tehran, Iran2
Guang Zhou Communication Information Construction Investment and Operation Co. Ltd, China2
Institute of Smart City Systems, Qingdao Academy of Intelligent Industries, China2
Lawrence Livermore National Laboratory, Computational Engineering Division, Livermore, CA USA2
General Motors Company2
Department of Automation, Shanghai Jiaotong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China2
Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional del Comahue. Buenos Aires 1400, Neuquén CP 8300, Argentina2
School of Computer Science, The University of Adelaide, South Australia2
Department of ECE, Kalasalingam University, India2
Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Adenauerring 4, Karlsruhe, Germany2
Department of Computer Science, The University of Hong Kong2
Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, MALAYSIA2
Flanders Make, Oude Diestersebaan 133, 3920 Lommel, Belgium2
School of Computer Science and Technology, Soochow University, Suzhou 215006, P. R. China2
Istanbul Technical University, Faculty of Computer and Informatics Engineering, Istanbul, Turkey2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi, P. R. China2
Department of Mathematics and Computer Science, University of Cagliari, Italy2
CETUC, Pontifical Catholic University of Rio de Janeiro, Brazil2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, Australia2
University of Montreal Montréal QC, Canada2
National Aviation University, Kyiv, Ukraine2
Electric-Electronic Department, Ho Chi Minh University of Technology, Ho Chi Minh City, Vietnam2
Stanford University, Stanford, USA2
Kogakuin Univ., Tokyo, Japan2
The School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, P.R. China2
Queen Mary University of London, London, England UK2
Graduate School of Science and Engineering, Teikyo University2
London Health Sciences Centre, London, ON, Canada2
Siemens Corporate Technology, Imaging and Visualization Munich, Germany2
Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Ettlingen, Germany2
School of Information Science, Japan Advanced Institute of Science and Technology, Asahidai 1-1, Nomi-shi, Ishikawa, Japan, 923-12112
Honda Research Insitute, USA2
Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza, Spain2
Konkuk University, Seoul, Korea2
Department of General Surgery, Carolinas Medical Center, United States of America2
College Of Engineering Trivandrum, India2
DIIn, University of Salerno, Fisciano (SA) - Italy2
Visionlab at Heriot-Watt University, UK2
IUT d'Orsay, Université de Paris-Sud, Plateau de Moulon, 91400, France2
University of Amsterdam , Amsterdam, The Netherlands2
Czech Technical University , Prague 2, Czech Republic2
RWTH Aachen , Aachen, Germany2
Department of Computer Science Engineering, Misrimal Navajee Munoth Jain Engineering College, Chennai, India2
Computational Biomedicine Lab, University of Houston, 4800 Calhoun Road, Houston, TX 770042
Norwegian Biometrics Lab, NTNU, Gj⊘vik, Norway2
Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, CEP, 26041-271, Brazil2
Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France2
Image Processing & Data Mining Lab, Shahrood University of Technology, Shahrood, Iran2
George Mason University, Department of Computer Science, Fairfax, Virginia2
MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France2
Institute of Informatics, UFRGS, Porto Alegre, Brazil2
Graduate School of Information Science and Technology, Osaka University, Osaka, Japan2
GIT Vision Lab, Bilgisayar Mühendisliği Bölümü, Gebze Yüksek Teknoloji Enstitüsü, Kocaeli, 41400, Türkiye2
Nanyang Technological University, Singapore 6397982
BeingThere Center, Institute for Media Innovation, Nanyang Technological University, Singapore 6375532
Department of Computer Science & Engineering, POSTECH, Pohang, Sourth Korea, 376732
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA2
German National Library of Science and Technology & Leibniz Universität Hannover, Hannover, Germany2
National Central University, Taoyuan County, Taiwan2
Department of Electrical and Computer Engineering, National University of Singapore, 117576 Singapore2
Havacılık Elektrik ve Elektroniği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
Artificial Intelligence and Information Analysis Lab, Department of Informatics, Aristotle University of Thessaloniki, Greece2
University of British Columbia Department of Electrical and Computer Engineering2
Chalmers University of Technology, Goteborg, Sweden2
Torr Vision Group, University of Oxford, Oxfordshire, United Kingdom2
Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA2
Dept. of Mech. & Ind. Eng., Toronto Univ., Canada2
CSR Research Unit of EμE Laboratory, National School of Engineering, Ibn Eljazzar 5019, Monastir, Tunisia2
Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China2
Beijing University of Aeronautics and Astronautics, Beijing, China2
Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil2
Computer Laboratory, University of Cambridge, Cambridge, UK2
Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh2
Computer Science and Technology, IIEST, Shibpur2
Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland2
Eindhoven Univ. of Technol., Netherlands2
Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland2
School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China2
Institute of Industrial Science, University of Tokyo, Tokyo, Japan2
Core Technology Center, OMRON Corporation, Kyoto, Japan2
TZI Center for Computing and Communication Technologies, University Bremen, Am Fallturm 1, 28359 Bremen, Germany2
Elektrik Elektronik Mühendisligi Bölümü Boğaziçi Üniversitesi, 34342, Bebek, Istanbul, Türkiye2
Boston University, USA2
Duke University, USA2
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, 567-0047 Japan2
Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic2
Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, China2
Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh2
Institute of Information Engineering, CAS, Beijing, China2
Majority Report, France2
College of Mathematics & Information Science, Wenzhou University, Wenzhou, Zhejiang, China2
Computer Vision Lab, University of Central Florida. Orlando, USA2
Multimedia Lab. Ortadoğu Teknik Üniversitesi, Ankara, Türkiye2
Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China2
Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland2
Xiamen University, Fujian, China2
Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea2
Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Artificial Intelligence Research Center Korea Electronics Technology Institute Seongnam. Korea2
Department of Engineering, University of Cambridge, UK2
Pattern Recognition and Intelligent System Lab., Beijing University of Posts and Telecommunications, China2
Chinese Academy of Sciences, Shenzhen, China2
Dept. of CSE, Annamalai University2
Université de Caen Basse-Normandie, UMR 6072 GREYC, F-14032, France2
Dept. of ECE Syed Ammal Engineering College, Ramanathapuram, India2
Protein Research Technology Center, Tsinghua University, Beijing, China2
Samsung Research Institute China-Beijing (SRC-Beijing), Beijing, China2
College of Engineering, Trivandrum, India2
Bilgisayar Mühendisliği Bölümü, ˙Istanbul Teknik Üniversitesi2
Computer Science Department, University at Albany, State University of New York2
Department of Computer Science, University of Kentucky2
Instituto Nacional de Astrofíosica, Óptica y Electrónica (INAOE), Tonantzintla, Mexico and Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France2
Lero - The Irish Software Research Centre, University of Limerick, Ireland2
College of Optical Science and Engineering, Zhejiang University, Hangzhou, China2
School of IoT Engineering, Jiangnan University, Wuxi, 214122, China2
Collaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR, USA2
Center for Information Engineering Science Research (CIESR), School of Electronics and Information Engineering, Xi'an Jiaotong University, Shaanxi, 710049, China2
Graduate School of IPS, Waseda University, Fukucka, Japan2
IBM Hursley Labs, UK2
Department of Computer Science & Engineering, G. H. Raisoni Academy of Engineering and Technology, Nagpur, India2
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China2
Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada2
SUNY Binghamton, Binghamton, NY, USA2
School of Information Science and Technology, Jiujiang University, Jiujiang, China2
Computer engineering department, Sharif University of Technology2
Electrical-Electronics Engineering Department, Kirikkale University, Turkey2
Institute of Computer Science VI, Autonomous Intelligent Systems, University of Bonn, Germany2
Department of Computer Engineering & Informatics, University of Patras, 26500 Patras, Greece2
Dept. of Electrical Engineering and Computer Science, Syracuse University2
Beijing Etrol Technologies Co., Ltd, Beijing, China2
Stevens Institute of Technology, Hoboken, NJ 07030, USA2
Department of Computer Science and Engineering, New York University2
Academy of Broadcasting Science, Information Technology Institute, Beijing, China2
Noah's Ark Laboratory, 2012Labs Huawei Technologies Co., Ltd., Beijing, China2
University of Illinois at Urbana-Champaign, 201 N Goodwin, 61820, USA2
Faculty of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany2
National ICT Australia, Canberra, ACT, Australia2
Research School of Engineering, The Australian National University, Canberra, ACT, Australia2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, 65211, USA2
U.S. Army Engineer Reserch and Development Center, Information Technology Laboratory, Vicksburg, MS, United States2
School of Computing, Teesside University, Middlesbrough, UK2
Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University, Newcastle, UK, NE1 8ST2
Department of Information Engineering, The Chinese University of Hong Kong2
Instituto de Computação, Universidade Federal do Amazonas, Manaus, Amazonas, Brasil2
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Peking University, Shenzhen, 518055 China2
WaveLab - The Multimedia Signal Processing and Security Lab, Universität Salzburg, Austria2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Shaanxi, China2
Department of Computer Science & Engineering, India Jadavpur University, Kolkata, India2
Department of Computer Science and Engineering, University of Notre Dame, IN 46545, USA2
Department of ECE LBSITW, Poojappura Trivandrum, India2
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong2
Laboratory of Computer Vision & Media Technology, Aalborg University, Niles Jernes Vej 14, Aalborg East, Denmark2
Max Planck Institute for Informatics, Germany2
Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6R 2V4 AB, Canada2
Dept of Computer Engineering, Firat University, Elazig, Turkey2
Department of Electronics and Information Systems, Ghent University, Ghent, East Flanders, Belgium2
School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, P. R. China2
IBM Thomas J. Watson, Research Center, Yorktown Heights, New York 10598, USA2
Research Centre for Computers, Communication and Social Innovation La Trobe University, Victoria - 3086, Australia2
Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran2
INRIA Sophia Antipolis Meditérannée, Valbonne, France2
TCL Research America, San Jose, CA 95134, USA2
Dept. of Eng. Sciences and Appl. Mathematics, Northwestern University, Evanston, IL 60208, USA2
Computer Vision and Remote Sensing, Technical University, Berlin, Germany2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Ngo Quyen, Hai Phong2
Helsinki Institute for Information Technology HIIT, Department of Computer Science, Aalto University, Finland2
School of Data and Computer Science, Sun Yat-Sen University, Guangdong, China2
Dept. of Electrical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan City, Taiwan2
Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye2
Department of Computer Science & Engineering Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Guangxi Key Laboratory of MIMS and the College of Computer Science and Information Technology, Guangxi Normal University, Guilin, China2
TAIST Tokyo Tech, ICTES Program, School of ICT, Sirindhorn International Institute of Technology, Thammasat University, Thailand2
University of Ulm, Ulm, Germany2
Dept. of Electronics Engineering, Pondicherry University, Puducherry, India2
School of Automation, Beijing University of Posts and Telecommunications, Beijing, China2
School of Electrical and Computer Engineering, University of Campinas, Campinas, São Paulo, Brazil, 13083-8522
Department of Electronics and Communications Engineering Yildiz Technical University, Istanbul, Turkey2
Department of Mechanical Engineering, Istanbul Technical University, İnönü Caddesi, Beyoğlu / İstanbul2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea2
Computer Science Department, Boston University, Boston, USA2
Google, Seattle, USA2
Department of Information Systems and Cyber Security and the Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA2
Electronics & Telecommunications Research Institute (ETRI), Daejeon, Korea2
Massachusetts General Hospital, Boston, MA, USA2
Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA2
Institute of Mathematics, JiLin University, Changchun, China2
IBM Research Tokyo, Tokyo Research Lab, Toyosu, Japan2
Electrical Engineering Department Jorhat Engineering College Jorhat, India2
Computer Science and Engineering, Washington University in St. Louis2
Computer Vision and Systems Laboratory, Laval University, Quebec City G1V 0A6, Canada2
Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan2
International Computer Science Institute (ICSI), Berkeley, CA, USA2
LEAR team, Inria Grenoble Rhone-Alpes, France2
Software School, Xiamen University, China2
MIT, Cambridge, MA, USA2
Dept. of Electrical and Electronics Engineering, Bahcesehir University, Istanbul, Turkey2
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hongshan, Wuhuan, Hubei 430074, China2
University of Science and Technology of China, Hefei, People’s Republic of China2
Jiujiang University, Jiujiang, China2
Inria, Villers-les-Nancy, France2
Korea Advanced Institute of Science and Technology, Department of Electrical Engineering, 373-1 Guseong-dong, Yuseong-gu, Daejeon, 305-701, Korea2
IBM Research - Zürich, 8803 Rüschlikon, Switzerland2
University of Chinese Academy of Sciences, Beijing, 100049, China2
UC Berkeley EECS, USA2
Department of d’Informàtica, Universitat de València, Valencia, Spain2
Institution for Infocomm Research, Connexis, Singapore2
EPFL, Lausanne (Switzerland)2
ETHZ, Zurich (Switzerland)2
Department of Computer Science and Automation, Indian Institute of Science, Bangalore, Karnataka, India2
Microsoft Research India Pvt. Ltd, Bangalore, Karnataka, India2
Indiana University Bloomington, Bloomington, IN, USA2
Department of Computer Science, UNC Chapel Hill, NC, 275992
School of Mechatornic Engineering, University Malaysia Perlis (UniMAP), Malaysia2
Beihang University, School of Electronic Engineering, Beijing, China2
Pontifical Catholic University of Rio Grande do Sul2
MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), MOHAMMED V UNIVERSITY (UM5), Rabat, Morocco2
University of Shanghai for Science and Technology, 200093, China2
School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil2
School of Computer Science and Software Engineering, MoE Engineering Center for Software/Hardware Co-Design Technology and Application, East China Normal University, Shanghai 200062, China2
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India2
Electrical Engineering Sharif University of Technology Tehran, Iran2
İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan2
Department of Computer Science, University of Notre Dame, Notre Dame, IN, USA2
Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile2
University of California, Riverside, 92521, United States of America2
Sichuan Police College, Luzhou, China2
Automotive Technology, Technical University of Munich, Garching b. München, Germany2
BILGEM - Ulusal Elektronik ve Kriptoloji Araştırma Enstitüsü (UEKAE), TÜBITAK, Kocaeli, Türkiye2
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK2
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China2
School of Information, Guizhou Financial Institute, Guiyang, China2
Dept. of Inf., Piraeus Univ., Greece2
Visual Computing Institute, RWTH Aachen University, Germany2
Social Robotics Laboratory, University of Freiburg, Germany2
Department of Computer Eng., Faculty of Eng., Sari Islamic Azad University, Sari, Iran2
College of Information Science and Engineering, Dalian Maritime University, Dalian 116026, China2
London Healthcare Sciences Centre, London, ON, Canada2
Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong2
Nanjing University of Science and Technology, Xiaolingwei, Xuanwu, Nanjing, China2
University of Victoria, Victoria, BC, Canada2
MPI Informatics, Saabrucken2
Caltech, Pasadena2
ENTC dept., Solapur University, N.B.N.Sinhgad College of Engineering, Kegoan, Solpaur, India2
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, China2
Department of Computer Science & Engineering, National Institute of Technology, Rourkela, India2
Electrical and Computer Engineering, Michigan State University, East Lansing, MI, 48824, USA2
JKU, Linz, Austria2
Artificial Vision Laboratory National Taiwan University of Science and Technology2
Computer Engineering Department, İnönü University, Malatya, Turkey2
Cooperative Medianet Innovation Center, Shanghai Key Laboratory of Multimedia Processing and Transmissions, Shanghai Jiao Tong University, Shanghai, China2
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA2
Computer and Software Engineering Department, Toros University, Mersin, Turkey2
Department of Electronic Engineering, City University of Hong Kong, Hong Kong2
School of Mathematical Sciences, Anhui University, Hefei, China2
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan2
Department of Computer Engineering, Bogaziçi University, Istanbul, Turkey2
School of Computer Science, Carnegie Mellon University, USA2
University of Pittsburgh, Pittsburgh2
School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China2
Oxford-Man Institute of Quantitative Finance, University of Oxford, UK2
College of Electronic and Information Engineering, South China University of Technology, Guangzhou, China2
Department of Computer Science, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland2
Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX and Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokrit ...2
University of Sousse, Tunisia2
IBM Research, Yorktown Heights, NY, USA2
Dept. of ECE, B.N.M Institute of Technology, Bangalore, India2
Technical University Munich, Garching, Germany2
Facebook Inc., Menlo Park, CA, USA2
Faculty of Technical Sciences, Singidunum University, Belgrade 11000, Serbia2
Department of Informatics, Federal University of Paraná, Curitiba, Brazil2
Computing Department, Federal University of Ouro Preto, Ouro Preto, Brazil2
SiMiT Lab, Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
College of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, Japan2
Department of Computer science and engineering, Walchand College of Engineering, Sangli, India2
Dept. of CSEE, University of Maryland, Baltimore County, Baltimore, MD 212502
Department of Computer Science and Engineering, Toyohashi University of Technology2
Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India2
CSE Department, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India2
Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey2
Polytechnic School, University of Pernambuco, Recife, Brazil2
School of IoT Engineering, Jiangnan University, Wuxi 214122, China2
INRIA Sophia Antipolis, STARS team, 2004 Route des Lucioles, BP93, 06902, France2
Department of Communications and Computer Engineering, University of Malta, Msida, MSD, Malta2
BMW Group Technology Office, 2606 Bayshore Pkwy, Mountain View, CA 94043, USA2
Institute of Geodesy and Geoinformation, University of Bonn, Germany2
School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China2
Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China2
University of KwaZulu-Natal, Durban, South Africa2
National Technical University of Athens, Athens, Greece2
MIRACL laboratory, ISIMS, BP. 242-3021, Sfax, Tunisia2
School of Industrial Engineering, Purdue University, West Lafayette, IN, USA2
Academy of Broadcasting Science, Beijing, P.R. China, 1008662
University of Twente, Enschede2
Computer Science Department at California State University, Fullerton, California, US2
Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, ROC2
Department of Computer Science and Information Engineering National Taiwan Normal University2
Dept. of Comp. Sci. and Inf. Eng, Chung Hua University, Hsinchu, Taiwan2
Dept. of Comp. Sci, National Chiao Tung University, Hsinchu, Taiwan2
Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-18162
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, 689-798, Korea2
Università degli Studi di Milano, Milan, Italy2
MERC, Department of Computer Science, City University of Hong Kong, China2
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China2
Department of Computer Science, University of Maryland, College Park, MD2
Department of Computing and Software, McMaster University, Hamilton, Canada2
Eskişehir Osmangazi University2
Machine Perception Laboratory, University of California, San Diego, La Jolla, 92093, USA2
Department of Electronics and Communication, College of Engineering, Trivandrum, Kerala, India2
Indian Institute of Technology, Madras, Chennai-36, India2
School of Biological Science and Medical Engineering, Southeast University, 210096, Nanjing, Jiangsu, China2
School of Information Engineering, Chang’an University, Xi’an, China2
University of California: Berkeley, Berkeley, CA2
Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya, Japan2
University of Southern California-USA2
Eurecom-France2
Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran2
Samovar CNRS UMR 5157, Télécom SudParis, Université Paris-Saclay, Evry, France2
NCSR Demokritos, Greece2
College of Computer Science and Technology, Wuhan University of Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China2
Centre de développement des Technologies Avancées. Cité 20 Aout, Baba Hassen, 16303, Alger, Algérie2
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P.R. China2
Beijing E-Hualu Info Technology Co., Ltd, Beijing, China2
Department of Electrical and Computer Engineering, Isfahan University of Technology, 8415683111 Isfahan, Iran2
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore2
Computer Science Department Technical University of Cluj-Napoca2
Odessa National Polytechnic University Odessa, Ukraine2
China Airborne Missile Academy, Luoyang, China2
Sichuan Province Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
Department of Computer and Information Sciences, Northumbria University, Newcastle, UK2
Amsterdam Machine Learning Lab, University of Amsterdam, The Netherlands2
Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China2
EEECS/ECIT, Queen’s University Belfast, Belfast, U.K.2
Computer Science and Systems Engineering Department, University of Zaragoza, Spain2
DCC, Pontificia Universidad Católica de Chile, Santiago, Chile2
Electrical Engineering Department, University of Chile, Santiago, Chile2
Université Paris-Saclay, Paris2
SAGE, Advanced Systems in Electrical Engineering, National Engineering School of Sousse(ENISO), University of Sousse, Tunisia2
Department of Electrical and Computer Engineering, Khalifa University, Sharjah, UAE2
Yunnan University, Kunming, Yunnan, China2
National Institute of Standards and Technology (NIST), Gaithersburg, MD2
School of Computing, KAIST2
University of Manchester, Manchester, United Kingdom2
Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Technology2
Department of Informatics, Technische Universität München, 85748 Garching bei München, Germany2
Graduate School of Engineering, Nagasaki University, Nagasaki, Japan2
Institute of Management and Information Technologies, Chiba University, Chiba, Japan2
Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan2
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, 541004, China2
Shenzhen VisuCA Key Lab / SIAT, Chinese Academy of Sciences, China2
Multimedya Sinyal Analiz Laboratuarı, Elektronik ve Haberleşme Müh. Bl., Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
Department of Electrical Engineering and Computer Science, University of California, Berkeley, USA2
State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China2
Department of Electrical & Electronic Engineering, The University of Hong Kong, Hong Kong2
Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes, EA 4108, Institut National des Sciences Appliquées, Rouen, France2
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, 400084, Cluj-Napoca, Romania2
I-TEAM, Universidad Politécnica de Valencia, Valencia, Spain2
Software Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Video Processing and Understanding Lab, Universidad Autónoma de Madrid (Spain)2
College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China2
College of Electronics and Information Engineering, University of Sichuan, Chengdu, china2
University of Ontario Institute of Technology, Oshawa, ON, Canada2
Intelligent Control Systems Laboratory, Griffith University. Brisbane, Australia2
Digital Image, Audio and Speech (DIAST) Lab, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia2
Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus2
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing 100084, China, and the Tsinghua National Laboratory for Information Science and Technology, Beijing, China2
The University of Nottingham2
School of Automation, Southeast University, Nanjing, China, 2100962
Computer Vision Center, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain2
Computer Vision Center, Universitat Autònoma de Barcelona , Cerdanyola del Vallès, Spain2
Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India2
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Computer Science Department, Technical University of Cluj Napoca2
Bioinspired microelectronics systems group, Nazarbayev University, Astana, Akmola, Kazakhstan2
Michigan State University, East Lansing, USA2
Electrical and Computer Engineering Department, University of Windsor, Ontario, Canada N9B 3P42
Computer Vision and Robotics Research Laboratory, University of California San Diego, USA2
Panasonic Silicon Valley Laboratory, USA2
Northeastern University, China2
Computational Imaging Lab, Department of Technology, University Pompeu Fabra, Barcelona, Spain2
EUP Mataro, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
Department of Computer Engineering, Yazd University, Iran2
Quaid-i-Azam University, Islamabad, Pakistan2
Road Environment Perception Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan2
Dept. of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus SW7 2AZ, UK2
Electrical Engineering Department, Semnan University, Semnan, Iran2
Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir2
Department of Computer Science and Engineering, P.A. College of Engineering and Technology, Pollachi, Tamilnadu, India2
Honda Research Institute Europe GmbH, Offenbach am Main, Germany2
Faculty of Information Technology, King Mongkut's Instituteof Technology Ladkrabang, Bangkok, Thailand, 105202
University of Brunei Darussalam, The More-Than-One Robotics Laboratory, Brunei Darussalam2
Department of Electrical and Computer, Engineering, University of Denver, Denver, CO 802082
Department of Computer Sciences, University of Texas at San Antonio, San Antonio, TX, USA2
Wireless Personal Network Team, Electrics and Telecommunications Research Institute, Deajeon, South Korea2
Department of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea2
University of St Andrews, St Andrews, KY16 9SX, UK2
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, MALAYSIA2
Mechatronic Engineering Department, Mevlana University, Konya, Turkey2
ITM University, Gwalior, India2
Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, India 8260042
Delphi Deutschland GmbH2
Bergischen Universitat Wuppertal2
Computer Engineering Department, Firat University, Elazig, Turkey2
Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, P. R. China2
HRL Laboratories, LLC, Information Systems and Sciences Lab, Malibu, CA 90265 USA2
University of Delaware, Newark, DE2
American University of Science & Technology, Department of Computer and Communications Engineering, Faculty of Engineering, Beirut, Lebanon2
Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea2
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA2
National Institute of Advanced Industrial Science and Technology, Umezono 1-1-1, Tsukuba, Japan2
Department of Electrical, Computer and IT Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran2
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China2
Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey2
The University of Texas at Arlington, Arlington, TX, USA2
Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China2
B. Tech Graduate, ECE, MSIT, C-4 Janakpuri, New Delhi, India2
LIFL University of Lille 1, Telecom Lille 1 institut telecom, Lille, France2
Intelligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, Hollanda2
Department of Computer Science, IIT Kanpur2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India2
Department of Industrial Engineering, University of Salerno, Fisciano, Italy2
Department of Mechanical Engineering, Politecnico di Milano, Italy2
Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Turkey2
Computer Vision Institute, School of Computer Science and Software Engineering, and the Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen University, Shenzhen, China2
GREYC, CNRS UMR 6072, Université de Caen, France2
IIT Indore-452020 India2
Institute of Digital Media, Peking University, Beijing, 100871, China2
College of software, University of Science and Technology Liaoning, Anshan, 114051, China2
Dept. of Elect. & Comm. Engg., Birla Institute of Technology, Mesra, Ranchi, India2
School of Information & Engineering / Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou, China2
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, P. R. China2
Sri Sathya Sai Institute of Higher Learning, Prasanthinilayam, AP, India. 5151342
Seminar for Applied Mathematics, ETH, Zürich, Zürich, Switzerland2
Dept of IT, Bannari Amman Institute of Technology, Sathyamangalam2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, UMR5205, Lyon, 69134, France2
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China2
Technion2
Key Laboratory of Machine Perception School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Department of Electrical and Computer Engineering, University of Massachusetts, Lowell, MA2
Department of Informatics, Federal University of Paraná, Curitiba, PR, 81531-990, Brazil2
Department Computer Science, Loughborough University, Loughborough, LE11 3TU, UK2
University of Central Lancashire, Preston, United Kingdom2
Linkoping University, Sweden2
Foundation for Research and Technology - Hellas, FORTH, Crete, Greece2
Institute of Clinical Physiology, IFC-CNR, Pisa, Italy2
Department of Computer Science, Okayama University, Okayama, Japan2
School of Mechanical Engineering, Dalian University of Technology, Dalian, China2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, MO 652112
IKERBASQUE, Basque Foundation for Science, Bilbao, Spain2
Electrical and Computer Engineering, Wayne State University, Detroit, Michigan 482022
Instrument Technology Research Center, National Applied Research Laboratories, Taiwan, Republic of China2
Institute of Electrical Control Engineering, National Chiao Tung University, Taiwan, Republic of China2
Center for Digital Media Computing, Shenzhen Institutes of Advanced Technology, Shenzhen, China2
Software Engineering Institute, East China Normal University, Shanghai, China2
IBM Research, China2
POSTECH, Department of Electrical Engineering, Pohang, Korea2
Dept. SAMBA, orwegian Computing Center, P.O. Box 114 Blindern, NO-0314, OSLO, Norway2
Chiba University, Japan2
Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca' Foscari Venezia - Italy2
Institute for Computer Graphics and Vision, Graz University of Technology - Austria2
Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou 310018, China2
Digital Imaging & Mobile Devices Department Omron Cooperation, Kusatsu, Japan2
Department of Electronic Engineering Dalian University of Technology, China2
Northeastern University, Shenyang, Liaoning, China2
Cybernetics Faculty, Military University of Technology, S. Kaliskiego 2, 00-908 Warsaw, Poland2
National Engineering Research Center for E-learning, Central China Normal University, Wuhan, China2
Institute of Computer Science, University of Göttingen, Germany2
Department of Robotics Science and Technology, Chubu University, Kasugai, Aichi, Japan2
Computer Science dept. Technion, Haifa 32000, Israel2
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, United States2
University of Pennsylvania, Philadelphia, 19104, United States2
Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, CHINA2
University of Michigan, Ann Arbor, MI 48109, USA2
Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany2
Dept. Orthodontics and Dentofacial Orthopedics, Graduate School of Dentistry, Osaka University, 1-8 Yamadaoka Suita, 565-0871 Japan2
The Center for Advanced Medical Engineering and Informatics, Japan2
The Graduate School of Information, Production and Systems, Kitakyushu, Japan2
Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, San Diego, CA, USA2
Joanneum Research Steyrergasse, Graz, Austria2
Institute of Computing, University of Campinas, Campinas-SP, Brazil, 13083-8522
DIIn, Department of Industrial Engineering, University of Salerno, Fisciano (SA), Italy2
DAEIMI, University of Cassino, Cassino (FR), Italy2
Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada2
Department of Psychology and the Center for Brain Science, Harvard University, Cambridge2
School of Engineering and Applied Sciences, Department of Molecular and Cellular Biology, and the Center for Brain Science, Harvard University, Cambridge2
University of Hawaii at Hilo, HI, USA2
Yuncheng University, Shanxi Province, China2
University of Lincoln, Lincoln, UK2
Division of Graduate Studies of Tijuana Institute Technology, Mexico2
Intel Labs China, Intel Corporation, Beijing, 100086, China2
Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci.& Tech., Tsinghua University, Beijing, 100084, China2
Group of Biometrics, Biosignals and Security, Research Centre for Smart Buildings and Energy Efficiency (CeDInt), Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain2
Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada2
Department of Computer Science and Engineering, Dankook University, Yongin, South Korea2
Pontifícia Universidade Católica do RS, Porto Alegre-RS, Brazil2
Department of Electronics, University of Batna, Batna, Algeria2
Department of Information Science, College of Applied Computer Science, King Saud University (Almuzahmiyah Branch), Riyadh, Saudi Arabia2
Università degli Studi di Salerno, via Ponte don Melillo, 84084, Fisciano, Italy2
Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States2
College of Communication Engineering, Chongqing University, China2
National Inter-University Consortium for Telecommunications - Florence, Italy2
Institut fur Nachrichtentechnik, Universitat Karlsruhe, Germany2
NUS, Singapore, Singapore2
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Darul Ridzuan, Malaysia2
Medicis team. INSERM U1099, Université de Rennes 1 LTSI, Rennes, France2
Information Engineering and Automation Department, Hebei College of Industry and Technology, Shijiazhuang 050091, China2
Department of Biology, University of North Dakota, Grand Forks, North Dakota 582022
Department of Computer Science, University of North Dakota, Grand Forks, North Dakota 582022
Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland2
Department of Computer Science and Engineering, University of Minnesota2
CyLab Biometrics Center and the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA2
Institute of Telecommunications, Slovak University of Technology, Bratislava, Slovakia2
Digital Media Research Center, Institute of Computing Technology, CAS, China2
Visual Computing Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore2
Department of Electrical and Computer Engineering, Virginia Tech., Blacksburg, VA2
Department of Computer Science, University of Jaffna, Sri Lanka2
Rochester Institute of Technology, Rochester, New York, 14623, USA2
GIPSA Laboratory, Image and Signal Department, Grenoble Institute of Technology, Grenoble, France2
National Engineering School of Sousse, UR: SAGE-ENISo, University of Sousse, Tunisia2
School of Electronics and Computer Science University of Southampton, Southampton SOl7 1BJ UK2
Tsinghua University and DeePhi2
Dept. of Electrical Engineering, National Institute of Technology, Rourkela, India 7690082
Scripps Institution of Oceanography}, University of California, San Diego2
Department of Computer Science and Engineering2
Computer Vision Center, Barcelona, Spain2
Centre of Image & Signal Processing, Fac. Comp. Sci. & Info. Tech., University of Malaya, Malaysia2
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China2
Department of Computer Science and Engineering, POSTECH, Pohang 790-784, Republic of Korea2
Star Technologies, USA2
University of the Witwatersrand2
Department of Computer Science at Rutgers University, NJ, USA2
College of Computer Science at Chongqing University, Chongqing, PRC2
Department of Applied Geomatics, Ching Yun University, Taoyuan, Taiwan2
Queen's University, Belfast, UK2
Competence Center Identification and Biometrics, Fraunhofer Institute for Computer Graphics Research IGD, Fraunhoferstraße 5, 64283 Darmstadt, Germany2
Civil Aviation University of China, Tianjin, China2
Technische Universität Wien, Austria2
IMIS, Athena R.C., Greece2
Intelligent Systems Laboratory, SECOM, Tokyo, Japan2
Department of Biomedical Engineering, Faculty of Engineering, Srinakharinwijot University, Nakhonnayok, Thailand2
Department of Computer Engineering, MIT Pune, India2
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany2
Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore 639798, Singapore2
Department of Technology, Pompeu Fabra University, Passeig de Circumvallació 8, (08031) Barcelona, Spain2
School of Computer Science, Northwestern Polytechnical University, Xi'an2
Robotics Lab, Futurewei Technologies Inc., Santa Clara, USA2
Key Laboratory of Machine Perception (Ministry of Education), Peking Univ., Beijing, China2
Institute of Automatic Control Engineering (LSR), TU München, Germany2
Image Understanding and Knowledge-Based Systems, TU München, Germany2
National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China2
Faculty of Engineering and Information Technology, University of Technology Sydney, Australia2
Department of Electronic Systems, Vilnius Gediminas Technical University, Vilnius, LT-03227, Lithuania2
Department of Informatics & Telecommunications - National & Kapodistrian University of Athens, Greece2
Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia2
Department of Computer science and Engineering, Government College of Engineering, Amravati (MH), India2
School of Computing, University of Dundee, Dundee, U.K.2
Zhejiang Wanli Univ., Ningbo2
CS Dept., UFMG & Kunumi, Brazil2
School of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia2
Mobile Robotics Group, Dept. Engineering Science, University of Oxford, UK2
Shenzhen University, Shenzhen China2
School of information Engineering, Zhengzhou University, China2
Faculty of Science and Technology, University of Souk Ahras, Algeria2
Department of Computer Science, University of Bejaia, Algeria2
Inception Institute of Artificial Intelligence, Abu Dhabi, UAE2
Inst. of Digital Commun., Edinburgh Univ., UK2
State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China2
Visteon Corporation, Pune, India2
Laval University, Quebec City, Canada2
University of California, Berkeley, EECS Department2
Comput. Vision Lab, Central Florida Univ., Orlando, FL, USA2
SIEMENS S.A.S., SWE RC-FR IC-MOL RA R&D, 92320 Chatillon, France2
School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China2
Concordia University, Montreal, QC, Canada2
GREYC-CNRS (UMR 6072), University of Caen Lower Normandy, France2
Purdue Univ., West Lafayette, IN, USA2
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, MD2
Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain2
DMI College of Engineering Palanchur, Chennai, Tamilnadu2
Center for Mathematical Imaging and Vision, and Department of Mathematics, Hong Kong Baptist University, Kowloon, Hong Kong2
Department of Computer Science and Numerical Analysis, University of Córdoba, Spain2
School of Computer Science, University of Adelaide, Adelaide, SA, Australia2
University of Colorado at Colorado Springs2
Department of Information Science and Technology, Jinan University, Guangzhou, China2
Leibniz Universität Hannover, Hannover, Germany2
Instituto de Telecomunicações & Faculdade de Ciěncias da Universidade do Porto2
Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK2
NEC Corporation, Data Science Research Laboratories, Shimonumabe Nakahara-Ku, Kawasaki Kanagawa, 1753, Japan2
Dept. of Comp. Sci. and Tech., Shenzhen Graduate School, Harbin Institute of Technology, China2
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications 400065, China2
University of Ulsan, Graduate School of Electrical Engineering, Korea2
University of Illinois at Urbana, Department of Electrical and Computer Engineering, Beckman Institute, 405 N Mathews Ave, IL, 61801, USA2
University of Science, Vietnam2
Sichuan Province Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA2
Le2i UMR 6306, CNRS, University of Burgundy, France2
National Institute of Advance Industrial Science and Technology, Tsukuba City, Ibaraki, Japan2
Department of Computer and Operations Research, University of Montreal, Montreal, Canada2
Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan2
Faculty of Information Science and Electrical Engineering (ISEE), Kyushu University, Japan2
Faculty of Electrical Engineering, University Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia2
Inf. Syst. Dept., Buckingham Univ., UK2
Korea Electronics Technology Institute2
School of Physics and Optoelectronic Engineering, Dalian University of Technology, Dalian 116024, China2
TUBITAK BILGEM (TUBITAK Centre of Research for Advanced Technologies of Informatics and Information Security), Turkey2
School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia2
Department of Computer Science, University of Liverpool, Liverpool, United Kingdom2
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.2
Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan, R.O.C.2
Department of Electrical, Computer and Software Engineering, University of Ontario, Institute of Technology, Canada2
Key Laboratory of Intelligent Information Processing and the ICT-ISVISION Joint Research and Development Laboratory for Face Recognition, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
Beijing University of Civil Engineering and Architecture, Beijing, China2
The University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information2
Department of Electrical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea2
Department of Information and Computer Science, Aalto University, Aalto, Finland2
Toyota Research Institute, Cambridge, MA 02142, USA2
NICTA, Locked Bag 8001, Canberra, Australia2
Department of Computer Science, Wayne State University, Detroit, MI, USA2
JOANNEUM RESEARCH, Graz, Austria2
Laboratory of LESIA, University of Biskra, Algeria2
Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, Malaysia2
Dept. of Mechanical Engineering, The University of British Columbia, Vancouver, V6T 1Z4, Canada2
Department of Computer Science, Duke University, Durham, NC, USA2
Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia2
University of Montreal, Department of Computer Science and Operations Research (DIRO), 2920 Chemin de la tour, QC, Canada, H3C 3J72
SITI Laboratory, National Engineering School of Tunis (ENIT), University of Tunis El Manar, Tunis, Tunisia2
Georgia Tech Research Institute, USA2
Department of Mechanical and Aerospace Engineering, Navigation and Electronic System Laboratory, Institute of Advanced Aerospace Technology, Seoul National University, Seoul, South Korea2
New Mexico Consortium, Los Alamos, USA2
Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China2
Shanghai Engineering Research Center for Video Technology and System, Fudan University, Shanghai, China2
Imaging Science and Engineering Laboratory Tokyo Institute of Technology Yokohama 226-8503, Japan2
Keio University, Kanagawa, Japan2
Arizona State University, 4600 S. Dobson Road, Chandler, AZ 852482
Fujian Key laboratory of Sensing and Computing for Smart City, School of Information Science and Technology, Xiamen University, Xiamen 361005, China2
The School of Electronic and Information Engineering, Xi'an Jiaotong University, China2
Artificial Vision Laboratory, Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan2
PAL Robotics, Barcelona, Catalunya, Spain2
Mitsubishi Electric Research Labs (MERL), Cambridge, MA 02139, USA2
School of Engineering, RMIT University, Melbourne, VIC 3083, Australia2
University of California at Merced, Merced, USA2
Technische Universität München, Garching, Germany2
State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China2
Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong2
Department of biomedical engineering, Amirkabir University of technology (Tehran Polytechnic), Tehran, Iran2
Thiagarajar College of Engineering, Madurai, TN 625015 India2
IFRJDL, Institute of Computing Technology, CAS, P.O.Box 2704, Beijing, China, 1000802
Department of Computer Engineering, G. H. Raisoni Collage of Engg and Technology, Pune, India2
School of Engineering and Computing, University of the West of Scotland, Paisley, U.K.2
Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China2
Computer Science Department, University of Southern California, Los Angeles, 90089, United States of America2
ECE Department, Carnegie Mellon University, USA. msavvid@ri.cmu.edu2
School of Computer Science and Software Engineering, East China Normal University, Shanghai, China2
Department of Electrical Engineering, University of Texas, Arlington, TX, USA2
Netaji Subhas Inst. of Technology, New Delhi, India2
Université Jean Monnet, Laboratoire Hubert Curien - UMR CNRS 5516, 18 rue du Professeur B. Lauras, 42000 Saint-Etienne, France2
College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, China2
Faculty of Information Technology, University of Science - VNUHCM, Ho Chi Minh city, Vietnam2
Graduate School of Medicine, Osaka University2
Health Care Center, Osaka University2
LEAD Graduate School and Research Network, University of Tübingen, Tübingen, Germany2
Department of Electrical Engineering, National Cheng Kung University, Taiwan2
College of Computer Science and Technology Wuhan University of Science and Technology, Wuhan, China2
Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey2
Department of Computer Science, College of William and Mary, Williamsburg, VA2
Indiana University of Pennsylvania, Indiana, PA2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong2
M.S. Ramaiah Institute of Technology, Bangalore, India2
Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysuru, India2
National Chiao-Tung University, Hsinchiu, Taiwan2
Dept. of ECE, Mepco Schlenk Engineering College, Sivakasi, India2
Anglia Ruskin IT Research Institute, Anglia Ruskin University, Chelmsford, U.K.2
Intelligent Cognitive Technology Research Department, ETRI Daejeon, Korea2
Northwestern University, Evanston, USA2
University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, Maryland, USA2
Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologia, Monte de Caparica, Portugal2
Systems Engineering Institute, MOE KLINNS Lab and SKLMS Lab, Xi'an Jiaotong University, 710049, China2
CNRS, Irisa & Inria Rennes2
Hefei University of Technology, Hefei, China, China2
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 778432
Fraunhofer-Institute for Integrated Circuits, Erlangen, Germany2
National Institute of Informatics, Japan, Tokyo, Japan2
SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy2
Department of Computer, Control, and Management, Engineering, Sapienza University of Rome, Rome, Italy2
School of Engineering and Digital Arts, University of Kent, Canterbury, Kent CT2 7NT, United Kingdom2
Faculty of Physics and Applied Informatics, University of Lodz, Pomorska str. 149/153, Lodz, Poland2
Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey2
Department of Computer Science and Applications, Bangalore University, India2
Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Haidian District, Beijing, PR China2
Dept. of Computer Science, Yonsei University, Seoul, South Korea, 120-7492
Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA2
Image Formation and Processing Group, Beckman Institute, University of Illinois at Urbana–Champaign, Urbana, IL, USA2
Shenzhen Institutes of Advanced Technology, The Chinese University of Hong Kong, Chinese Academy of Science, Shenzhen, 518055, China2
Graduate School of Integrated Design Engineering, Keio University, Yokohama, Japan2
Department of Computer Science and Egg., Sri Jayachamarajendra College of Engineering Mysore-570006, India2
University of Huddersfield, Huddersfield, West Yorkshire, UK2
School of Aeronautics and Astronautics, Sichuan University, Chengdu, China2
Hankou College, Wuhan, China2
Norwegian Biometrics Laboratory, NTNU, Gj⊘vik, Norway2
Electrical Engineering Department, Stanford University, USA2
SATIE, Université Paris-Sud, Université Paris-Saclay, France2
Robert Bosch GmbH, Stuttgart, Germany2
Epson Research and Development, Inc., 214 Devcon Drive, San Jose, CA 951122
Centre de Visió per Computador. Universitat Autònoma de Barcelona, 08193, Spain2
La Salle, Universitat Ramon Llull. Barcelona 08022, Spain2
Center of Machine Vision Research, Department of Computer Science and Engineering, University of Oulu, Oulu, Finland2
School of Electrical Engineering and Computer Science, Queen Mary University of London, London, UK2
Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA2
Computer Engineering Department, Sharif University of Technology, Tehran, Iran2
School of Computer Science, National University of Defense Technology, Changsha, China2
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, China2
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, Pennsylvania, USA2
Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia, USA2
School of Information Science and Technology, Huaqiao University, Xiamen, China2
Department of Computer Science & Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia2
Transmural Biotech, Barcelona, Spain2
Human Language Technology and Pattern Recognition Group, RWTH Aachen University2
CSIRO-Data61, Canberra, Australia2
Istituto Italiano di Tecnologia (IIT) & Università di Torino, Genova, Italy2
Istituto Italiano di Tecnologia (IIT) & Università degli Studi di Genova, Genova, Italy2
Center for Information Engineering Science Research (CIESR), School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China2
Fac. of Sci., Amsterdam Univ., Netherlands2
Department of Multimedia Communications, EURECOM, Sophia Antipolis, France2
Shenzhen Graduate School, Harbin Institute of Technology, China2
Dept. of ECSE, Rensselaer Polytechnic Institute, USA2
Visual Inf. Process. Group, Imperial Coll. London, UK2
INRIA - Willow Project, Laboratoire d'Informatique, École Normale Supérieure, France2
Department of Computer and Information Sciences, Temple University2
Department of Computing Sciences, Elon University2
Mathematics and Computer Science Dep, Amirkabir University of Technology, Tehran, Iran2
IBM Research-China, Beijing, China2
Sch. of Inf., Wuyi Univ., Guangdong, China2
University of Cagliari, Italy2
Xi An Jiaotong University, China2
Department of Digital Media, Catholic University of Korea, Bucheon, South Korea2
The Interdisciplinary Center Herzliya, Israel2
Cardiff University, UK2
Computer Engineering Department, Galatasaray University, Istanbul, 34349, Turkey2
School of Computer Science and Technology, Tianjin University&Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China2
Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, USA2
Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran2
College of Intelligence and Computing, Tianjin University, Tianjin, China2
the Chinese University of Hong Kong, Hong Kong2
Sichuan University, China2
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Romania2
State Key Laboratory of Transient Optics and Photonics, Center for OPTical IMagery Analysis and Learning, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Vision and Sensing, Human-Centred Technology Research Centre, University of Canberra, Canberra, Australia2
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye2
Department of Computing, Informatics institute of Technology, Colombo, Sri Lanka2
Department of CSIE, Hefei University of Technology, Hefei, China2
Sharif University of Technology, Iran2
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, Turkey2
Assembly and Test Technology Development, Intel Corporation, Chandler, AZ, USA2
School of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA2
School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA2
Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China2
Beijing FaceAll Co. Beijing, China2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, Ecully, France2
Jiangsu Automation Research Institute, Lianyungang, Jiangsu Province, 222061, China2
Department of Computer Science, University of Missouri-Columbia, Columbia, MO, USA2
Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China2
Image Processing and Analysis Laboratory, Applied Electronics and Information Engineering Department, University “Politehnica” of Bucharest, Romania2
Vellore Institute of Technology, Chennai, Tamil Nadu2
National Institute of Technology, Rourkela2
School of electrical and information, South China University of Technology, Guangzhou, China, 5106602
ENET'COM-SFAX, Tunisia2
Graduate School of Engineering, Department of Design and Media Technology, Iwate University, Iwate, Japan2
Department of Computer Engineering, King Mongkut's University of Technology Thonburi, 126 Pracha-uthit Rd., Bang-mod, Thung-Khru, Bangkok 10140, Thailand2
Computer Science Department, State University of New York at Binghamton, USA2
Institute of information science, Beijing jiaotong University, Beijing, China2
Dept. of Computer Science and Information Engineering, National Taipei University2
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China2
Liverpool University, UK2
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, People’s Republic of China2
Robert Bosch GmbH, Hildesheim, Germany2
Graduate School of IPS, Waseda University, Kitakyushu, Japan2
Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand2
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 USA2
Southeast University, School of Automation, Nanjing, China2
Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan2
Division of Advanced Information Technology & Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, 184-8588 Japan2
Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand2
Department of Computer Science, Chu Hai College of Higher Education, Hong Kong2
School of Electronics and Information Engineering, Beihang University, Beijing, China2
École de technologie supérieure, Université du Québec, Montreal, Canada2
Computer Science and Engineering Dept., University of Texas at Arlington, TX, USA2
Department of Electrical Engineering, University of Washington, 185 W Stevens way NE, Seattle, 98195, USA2
Department of Computer Science & Information Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan2
Department of Mechanical and Electronic Engineering, Henan Polytechnic Institute, Nan yang, China2
Universidad Argentina de la Empresa (UADE), Lima 717, Buenos Aires, Argentina2
Tsinghua National Lab for Information Science and Technology, Beijing, China2
Department of Computer Science, Tsinghua University2
Renault S.A.S, 1av. du Golf, Guyancourt, 78288, France2
Department of Computer Science and Engineering, University of Minnesota, USA2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitési2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi2
Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany2
Department of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India2
University of California, Berkeley, USA2
School of Electronic and Information Engineering, South China University of Technology, Guangdong, China2
Electrical Engineering Department, Sahand University of Technology, Tabriz, Iran2
Department of Computer Science, George Mason Univerisity, Fairfax, VA 22030, USA2
MRT/KIT Karlsruhe, Germany2
ICMC/USP Sao Carlos, Brazil2
Harcourt Butler Technological Institute, Kanpur, INDIA2
Department of Computer Science & Engg., Rama University, Kanpur, INDIA2
Social Robotics Lab, Dept. of Computer Science, University of Freiburg, Germany2
ETH Zurich2
Anadolu Üniversitesi Elek. Elektronik, Mühendisliği Bölümü Eskişehir, Türkiye2
Bilgisayar Mühendisliği Bölümü, Deniz Harp Okulu, İstanbul, Türkiye2
Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA2
IETR, CNRS UMR 6164, Supelec, Cesson-Sevigne, France2
Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University , Paris, France2
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA2
School of Engineering Newcastle University, ISC Research Group, UK2
Centre for Research and Technology Hellas, Information Technologies Institute 57001, Thessaloniki, Greece2
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China2
Center for Artificial Intelligence, FEIT, University of Technology Sydney, Ultimo, NSW, Australia2
Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China2
University of Technology, Sydney, NSW, Australia2
Computer & Vision Research Center / Department of ECE, The University of Texas at Austin, USA2
School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China2
Engineering Mathematics - Computer and Systems Engineering2
College of Information and Software Engineering, Northeast Normal University, Changchun, China2
CNRS Heudiasyc UMR 7253, Université de Technologie de Compiègne, Compiègne, France2
Department of Computer Engineering, Amirkabir University of Technology, Tehran, Iran2
SUPELEC/IETR, Team SCEE, France2
Department of Engineering Science, University of Oxford, Oxford, U.K2
Department of Computer Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran2
BioCom - Bioinspired Computing Laboratory, Department of Computer Science, University of Sao Paulo, Brazil2
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing2
Center of assistive Research Technologies (CART), Engr. College, WSU, Dayton, OH2
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore Block S2.1, 50 Nanyang Avenue, Singapore 6397982
Department of Electrical and Computer EngineeringCollege of Engineering, University of Miami, Coral Gables, FL, USA2
DIIn, University of Salerno, via Giovanni Paolo II, 132, Fisciano - Italy2
Department of Mechanical Engineering, Politecnico di Milano, via La Masa, 1, Italy2
DIEI, University of Cassino and of Southern Lazio, (FR) - Italy2
Enformatik Enstitüsü, Orta Doğu Teknik Üniversitesi, 06800, Ankara, Türkiye2
School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China2
Department of Electronic Engineering, Kwangwoon University, Seoul, Republic of Korea2
Division of Information and Computer Engineering, Ajou University, Suwon, Republic of Korea2
Department of Computer Engineering, Kyung Hee University, Suwon, Republic of Korea2
Department of Computer and Information Sciences, Northumbria Univeristy, Newcastle upon Tyne, UK2
Software School, Hunan University, Changsha 410082, China2
Academia Sinica, Taipei, Taiwan and National Taiwan University, Taipei, Taiwan2
School of Engineering and Digital Arts, University of Kent, Canterbury, UK2
Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, P.R. China2
Sch. of Electron. & Comput. Sci., Southampton Univ., UK2
Università degli Studi di Verona, Verona, Italy2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, UK2
Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea2
Faculty of Engineering Technology, Hasselt University, Diepenbeek, Belgium2
Universita degli Studi di Palermo, Dipartimento di Ingegegneria Informatica, Viale delle Scienze, 90128, ITALY2
School of Computer Science, China University of Geosciences, Wuhan, 430074, China2
DUT-RU International School of Information and Software Engineering, Dalian University of Technology, Dalian, China2
CEA, Gif-Sur-Yvette, France2
UMR CNRS - Univ. Bourgogne, Dijon, France2
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pom-peu Fabra - UPF, Roc Boronat, 138 - 08018 - Barcelona, Spain2
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hubei, China2
Toyota Research Institute, North America, Ann Arbor, MI, USA2
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, United Kingdom, GU2 7XH2
College of Automation, Nanjing University of Posts and Telecommunications, China2
Department of Computer Science Faculty of Science, Khon Kaen University, Khon Kaen, 40002, Thailand2
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, MD, USA2
CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France2
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Canada2
SYSU-CMU Shunde International Joint Research Institute, Sun Yat-Sen University, Guangzhou, China2
Department of National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing, China2
Sch. of Software, Tsinghua Univ., Beijing, China2
School of Information Science and Engineering, Yunnan University, Kumming, China2
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN2
Department of Automation Science and Electrical Engineering, Beihang University, Beijing, China2
DISI University of Trento, Povo - Italy2
Center for Machine Vision Research (CMV), University of Oulu, Finland2
Institute of Software, Dalian Jiaotong University, China2
Computer Sciences at The University of Texas at Austin, 78712, USA2
Institute of Automatic Control, Silesian University of Technology, Akademicka 2A, Gliwice, Poland2
Electrical & Electronic Engineering Department, Mevlana University Konya, Turkey2
University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Slovenia2
Department of Computer Science & Engineering, National Institute of Technology Meghalaya, Meghalaya, India2
DGIST, Hyeonpung-Myeon, Dalseong-Gun Daegu, South KOREA2
ECE. Department, University of Windsor, Windsor, Ontario, Canada N9B 3P42
University of Technology Sydney, Ultimo, NSW, Australia2
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, People’s Republic of China2
Shenyang SIASUN Robot & Automation Co., LTD., Shenyang, China2
Department of Computer Science, Universitat Oberta de Catalunya, Barcelona, Spain2
Department of Advanced Engineering Daimler Trucks, Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany and the Institute of Industrial Information Technology, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany2
Dept. of Electronics and Multimedia Telecommunications, Technical University of Kosice, Kosice, Slovakia2
University of Groningen, Nijenborgh 9, 9747 AG, The Netherlands2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-452020 India2
Department of Computer Science, University of Mauritius, Reduit, Mauritius2
University of Science and Technology of China, NO.443, Huangshan Road, Hefei, Anhui, China2
Department of Computer and Information Sciences, Jinling Institute of Technology, Nanjing, China2
Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Chongqing, China2
Baidu2
Division of Psychology and Language Sciences, University College London, UK, WC1E 6BT2
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany2
Dept. of Imaging Sci. & Biomed. Eng., Manchester Univ., UK2
Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH, USA2
School Computer and Information, Hefei University of Technology, Hefei, China2
Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105202
School of Electrical Engineering and Informatics, Department of Computer Science, Bandung Institute of Technology, Bandung, Indonesia2
The University of Tokushima, Tokushima 770-8506, Japan2
Biometric and Imaging Processing Laboratory (BIPLab)2
University of Naples Federico II2
Warsaw University of Technology2
Research and Academic Computer Network (NASK)2
SensoMotoric Instruments (SMI)2
Maastricht University2
Università di Salerno Italy2
University of Beira Interior, IT: Instituto de Telecomunicações2
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France2
Toyota InfoTechnology Center, U.S.A., Inc.2
Carmine Senatore Exponent, Inc.2
Department of ComputingBiometrics Research Centre, The Hong Kong Polytechnic University, Hong Kong2
The University of Minnesota, Minneapolis, MN, USA2
Northwestern University, Evanston, IL, USA2
Technische Universität Darmstadt, Darmstadt2
Department of Computer Science, Pohang University of Science and Technology, Korea2
Informatics Institute, University of Amsterdam, Science Park, Amsterdam, Netherlands2
Faculty of Telecommunications, Technical University of Sofia, Bulgaria2
Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India2
Dept. of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH, USA 45469-02322
Facebook AI Research (FAIR), Menlo Park, USA2
IBM Research Lab, China2
Dept. of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, Windsor, ON, N9B 3P42
Faculty of Education, East China Normal University, Shanghai, China2
Samsung Research & Development Institute, Bangalore, India2
South China University of Technology, Guang Zhou, China2
The University of the West Indies, Mona Campus, Kingston 7, Jamaica, W.I.2
Department of Applied Mathematics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil2
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Sciences, Mysuru Campus, Karnataka, India2
Graduate Faculty of Information Science and Electrical Engineering, Kyushu University, Motooka, Nishi-ku, Fukuoka 819-0395, Japan2
Pennsylvania State University, University Park, PA2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
Department of Artificial Intelligence, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, 50603, Malaysia2
Toyota Technological Institute at Chicago2
Karlsruhe Institute of Technology2
TTI-Chicago, USA2
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan2
UMIACS, University of Maryland, College Park2
Stony Brook University, Stony Brook, NY2
Learning Affect and SemantIc Imaging (LASII) Group, Indian Institute of Technology Ropar, India2
Department of CS&E, IIT Madras, India2
Australian Centre for Visual Technologies, School of Computer Science, The University of Adelaide, Adelaide, SA, Australia2
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University2
Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan2
Dept. of Computer Science University of Illinois Urbana-Champaign (UIUC)2
Dept. of Electrical Engineering, Indian Institute of Science Bengaluru, India2
Member2
ETH Zurich, Zurich2
Ind. Technol., Purdue Univ., West Lafayette, IN, USA2
Department of Electronics, Faculty of Electrical Engineering and Information Technology, University of Oradea, Universitatii Str.1, Oradea, Romania2
Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey2
AI Institute of Qihoo 360, Beijing, China2
National University of Defence Technology, Changsha 410000, China2
University of Alberta, Edmonton, Alberta2
State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China2
Tampere University of Technology, Finland2
State University of New York at Binghamton, 13902, USA2
Department of Electrical Engineering, National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Rd., TX, 770042
Department of Geography, George Washington University, USA2
Malviya National Institute of Technology Jaipur, India-3020172
Institute of Telecommunications, Slovak University of Technology Bratislava, Slovakia2
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, 430073, China2
PES Center for Pattern Recognition, PESIT- Bangalore South Campus, India2
Biodata Mining Group, Technical Faculty, Bielefeld University, Germany2
Elektrik ve Elektronik Mühendisliği Bölümü, Makine ile Öğrenme ve Bilgisayarlı Görü Laboratuvarı, Eskişehir Osmangazi Üniversitesi2
Digital Media Lab, Department of Applied Physics and Electronics, Umeå University, 901-87, Sweden2
Institute of Automation, CAS, Beijing, China2
Faculty of Engineering & IT University of Technology, Sydney, Australia2
Queensland University of Technology (QUT), Australia2
School of Electronic Engineering, University of Electronic Science and Technology of China, 611731, Chengdu, Sichuan, China2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, Turkey2
Biometrics Engineering Research Center, School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea2
Microsoft Research Asia2
Institute of Electronics and Computer Science, Riga, Latvia2
GE Global Research, Bangalore, India2
Delft University of Technology, Mekelweg 4, Netherlands2
University of Rochester, NY 14627, USA2
Department of Perception Engineering, University of Tuebingen, Germany2
Human-Machines Interaction (HMI) Laboratory, Department of Industrial Informatics, TEI of Kavala, Kavala, Greece2
Department of Computer Science and Engineering, Michigan State University2
IDIAP Research Institute, Rue Marconi 19, 1920 Martigny, Switzerland2
Department of Electrical and Computer Engineering, Coordinated Science Laboratory, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, IL 61801, USA2
Labged Laboratory, Computer Science Department, Badji Mokhtar Annaba University, Algeria2
LAAS-CNRS and Universite Paul Sabatier, Toulouse, France2
Department of Computer Science, Universidade Federal de Minas Gerais – UFMG 31270-010, Belo Horizonte, MG – Brazil2
Dept. of Electrical Engineering, Future Institute of Engineering and Management, Kolkata -700150, India2
Queensland University of Technology, Brisbane, Australia2
University of Houston, Houston, TX2
College of Engineering, Center of Engineering Technology, Graduate University of the Chinese Academy of Sciences, Beijing, China2
Electrical Engineering Department, University of São Paulo, São Carlos, Brazil2
Video/Image Modeling and Synthesis (VIMS) Laboratory, University of Delaware, Newark, DE, 19711, USA2
Computer Science & Engineering Department B.T.K.I.T Dwarahat Almora, India2
Technical University of Sofia, 8 Kl. Ohridski blvd., Sofia 1000, Bulgaria2
University of Benghazi, Faculty of Information Technology(IT), Libya2
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Università degli Studi di Milano–Bicocca, Milano, Italy2
NanoComputing Research Laboratory, Rochester Institute of Technology, Rochester, NY 146232
EUP Mataró, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
Xidian University, Xi'an, China2
Govt. College of Engineering, Amravati, India2
Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Institute for Autonomous Systems Technology(TAS), University of the Bundeswehr Munich, 85577 Neubiberg, Germany2
School of Software, Henan University, Kaifeng, China2
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, 70569 Stuttgart, Germany2
Informatics Institute, Faculty of Science, University of Amsterdam, 1098 XH Amsterdam, The Netherlands2
Computer Vision Laboratory, ETH Zurich2
Shenzhen Graduate School, Harbin Institute of Technology, Xili University Town, Shenzhen, China2
LAMIA, EA 4540, University of French West Indies & Guyana2
Institut Telecom - Telecom ParisTech CNRS/LTCI, Paris2
Harbin University of Technology2
Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany2
University of Illinois at Chicago, Chicago, Illinois2
Merses, Center for Applied Research, Pforzheim University, Germany2
Dept. of Mathematics and Computer Science, University of Perugia, Italy2
Dept. of Computer, Control and Mgmt. Engineering, University of Rome La Sapienza, Italy2
General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel2
Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China2
The University of Texas at Austin, Austin, TX, USA2
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China2
College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China2
MPSTM, NMIMS University, Mumbai2
Sorbonne universités, Université de technologie de Compiègne, CNRS 7253 UMR/Heudiasyc. CS 60319, 60203 Compiègne cedex2
Department of Computational Mechanics, Faculty of Mechanical Engineering, University of Campinas. Rua Mendeleyev, 200 - CEP 13083-860 Cidade Universitária Zeferino Vaz - Campinas - SP2
Enjoyor Labs, Enjoyor Inc., Hangzhou, China2
Wuhan University of Technology, Wuhan 430070, China2
Center for Automation Research and the Department of Computer Science, University of Maryland, College Park, MD2
Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China2
University of Bochum, Institute for Neural Computation2
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China2
School of Electronic Engineering, Xidian University, Shaanxi, P. R. China2
International Research Institute MICA, Hanoi University of Science and Technology2
Department of Computing, Imperial College London, United Kingdom2
UNESP - São Paulo State University, Bauru, São Paulo2
TU Dortmund, Pattern Recognition in Embedded Systems Group, Dortmund, Germany2
Chair of Materials Handling and Warehousing2
Department of Electronics, Graduate School of Engineering, Tohoku University, Japan2
School of Computer Engineering and Science, Shanghai University2
University of Sydney, Sydney, Australia2
Norwegian Biometric Laboratory, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway2
U.S. Army Research Laboratory, Adelphi, MD, USA2
Institute of Information Science, Academia Sinica, Taiwan2
NEC Labs America2
Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Institute of Information Science, Beijing, 100044, China2
Department of Computer Science and Electrical Engineering, University of Michigan at Ann Arbor, Ann Arbor, MI 48109, USA2
Université de Technologie de Compiègne (UTC)2
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China2
Department of Computer Science, Texas State University, San Marcos, TX, USA2
Department of Computer Science and Engineering and Centre for Vision Research, York University, Toronto, Canada2
Center of Modern Education Technology, Changchun Chinese Medicine University, 130051, China2
School of Information and Engineering, Wenzhou Medical University, Wenzhou, China2
Department of Computer Engineering, CGPIT, Uka Tarsadia University, Bardoli, Surat, India2
There Centre, Institute of Media Innovation, Nanyang Technological University, Singapore2
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA2
Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China2
Video/Image Modeling and Synthesis (VIMS) Lab, Department of Computer and Information Sciences, University of Delaware, Newark, DE. USA2
Indian Institute of Technology Ropar, India2
Department of Electrical and Computer Engineering, University of Windsor2
SUPELEC / IETR, Avenue de la Boulaie, 35576 Cesson Sevigne, France2
Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China2
University of Central Florida School of Electrical Engineering and Computer Science, Orlando, FL2
Department of Computer Science, The University of Hong Kong, Hong Kong2
School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Key Laboratory for Machine Perception (KLMP), Shenzhen Graduate School, Peking University, China2
University of Evry Val d’Essonne, IBISC (Informatics Integrative Biology and Complex Systems) Lab., 40 rue du Pelvoux, 91025, Evry, France2
CNRS, IMB, UMR 5251, Talence, France2
UMR 5800, CNRS, LaBRI, Talence, France2
UMR 5800, University of Bordeaux, LaBRI, Talence, France2
UMR 5800, Bordeaux INP, LaBRI, Talence, France2
UMR 5800, LaBRI, Talence, France2
College of Graduate Studies, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia2
Department of Advanced Systems Control Engineering, Saga University, Japan2
Department of Computer Engineering, Sejong University, Gwangjin-gu, Seoul, Korea2
Szczecin University of Technology, Szczecin, Poland2
Face Aging Group, Department of Computer Science, UNC Wilmington, Wilmington, USA2
Department of Computer Science and Engineering, CEG, Anna University Chennai, India2
Dept. of Electrical Engineering, National Taiwan University, Taiwan2
Tongji University, Shanghai 201804, P.R. China2
Department of Computer Science, University Of Central Florida2
Imaging Science and Engineering Lab, Tokyo Institute of Technology-Japan2
Image Processing and Interpretation, University of Gent2
Technical University of Sofia, 8 blvd. Kliment Ohridski, Sofia 1756, Bulgaria2
University of Colorado Boulder, Boulder, USA2
Idiap Research Institute, 1920, Martigny, Switzerland2
Department of Instrumentation and Control, College of Engineering Pune, India2
School of Computer Science and Technology, Xidian University, Xi’an, China2
Signal Processing Group, Basis of Electronics Department, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Cluj-Napoca, Cluj-Napoca, 400114, Romania2
University of the Witwatersrand, Johannesburg, South Africa2
Comuter Science Department, TU-Darmstadt, Germany2
Dept. of Comput. Sci. & Eng., Inha Univ., Incheon, South Korea2
Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, Ultimo, NSW, Australia2
Department of Electronic EngineeringInstitute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China2
Department of Communication Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Taoyuan County 320, Taiwan +886-3-4638800 ext. 73232
Beckman Institute for Advanced Science and Technology, Coordinated Science Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 61801 U.S.A.2
UC Berkeley, USA2
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan2
Senior Member, IEEE, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 790-784, South Korea. phone: 82-54-279-2880, 2214; fax: 82-54-279-5594; e-mail: dreaming@postech.ac.kr, syoh@postech.ac.kr2
Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 790-784, South Korea. phone: 82-54-279-2880, 2214; fax: 82-54-279-5594; e-mail: dreaming@postech.ac.kr2
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia2
Drexel University2
George Mason University2
Electrical Engineering Department Jadavpur University Kolkata, India2
Dept. of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan 300132
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran2
Department of Electronics & Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476672
School of Electronic and Information Engineering, Beihang University, 100083, China. E-MAIL: moukyou@buaa.edu.cn2
Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, Malaysia2
Dept. of CSIE, National Taiwan University of Science and Technology, Taiwan2
Computer Engineering Kyung Hee University Yongin-si, South Korea2
Gipsa-Lab, Saint-Martin d'Hères, France2
Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan2
Research Center for Information Technology Innovation, Taipei, Taiwan2
Department of Computer Science, University of Houston, Texas 77004, United States2
Department of ECE, National Institute of Technology, Rourkela (Odisha), India2
Department of Electrical and Computer Engineering, Carnegie Mellon University2
University of Science and Technology Beijing, Beijing, China2
School of Information Science and Technology, Beijing Institute of Technology, China2
School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia2
Department of Computer Science, Swansea University, United Kingdom, SA2 8PP2
Interactive & Digital Media Institute, National University of Singapore, Singapore2
Nanjing Tech University, Nanjing, China2
Departments of Computer Science, Boston University, Boston, MA 022152
School of Information Engineering, University of Science and Technology Beijing, 100083, CHINA2
University of Bath2
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing 100049, China2
School of Computer Science and Engineering, Beihang University, Beijing 100191, China2
Sapientia Hungarian University of Transylvania, Hungary2
Faculty of Computer Science, University of Karlsruhe (TH), 76131 Karlsruhe, Germany2
King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand2
Yahoo! Labs, Haifa, Israel2
Department of Information Technology, R. A. I. T, Nerul, Navi Mumbai, India2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Key Laboratory of Machine Perception (Ministry of Education), Peking University, China2
Center for Research in Computer Vision, University of Central Florida, Orlando, USA2
Graduate School and the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Dept. of ECE, Maryland Univ., College Park, MD, USA2
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, PR China2
School of Automation, Shanghai Jiao Tong University, Shanghai, China2
Elektrik ve Elektronik Mühendisliği Bölümü, Bogaziçi Üniversitei2
Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China2
Intel Corporation, Hillsboro, OR 971242
Department of Mathematics and Computer Science, Gannan Normal University, Ganzhou, People’s Republic of China2
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, People’s Republic of China2
Department of Computer Science and Technology, Tongji University, Shanghai, People’s Republic of China2
Department of Civil Engineering, The University of British Columbia, Vancouver, BC, Canada2
Institute for Infocomm Research at A*STAR, Singapore2
Institute of Computing, University of Campinas, SP, Brazil, 13083-8522
DISI - Università degli Studi di Genova, Via Dodecaneso 35 - I16146 - Italy2
Indian Statistical Insitute, Kolkata 7001082
College of Computer and Information Science, Southwest University, Chongqing, China2
School of Information, Linyi Normal University, 276005, China2
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, UK2
Interactive Media Systems Group, Vienna University of Technology, Vienna, Austria2
IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA2
Computer, Electronic and Security Research Group, University of Northumbria2
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, Jiangsu, China2
B-DAT Laboratory, School of Information and Control, Nanjing University of Information and Technology, Nanjing, China2
Group Research, Daimler AG, Ulm, Germany2
University of Illinois’ Advanced Digital Sciences Center, Singapore2
Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland 20740 United States2
University of Cambridge, Cambridge, United Kingdom2
DITEN, University of Genova, Italy2
Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam2
Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, United States2
School of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK2
BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany2
School of Electronics, Electrical and Computer Engineering, University of Birmingham, Birmingham, U.K.2
State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
IETR/UMR CNRS 6164, INSA, Rennes, France2
University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam2
Dept Computer Science, Dept Mathematics and Statistics, HIIT, University of Helsinki2
Luohu Branch, Shenzhen Municipal Public Security Bureau, Guangdong, China2
School of Computing, Informatics and Media, University of Bradford, Bradford, UK2
Electrical and Computer Engineering Department, University of Nevada, Las Vegas, 89154, USA2
School of Electrical and Computer Engineering, Universidade Estadual de Campinas, São Paulo, Brazil 13083-8522
University of Groningen, Groningen, The Netherlands2
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, 70101, Taiwan2
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada2
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada2
School of Engineering, Sun Yat-sen University, Guangzhou, China2
Dept. of Computer Science, Courant Institute, New York University2
HEUDIASYC Mixed Res. Unit, Compiegne Univ. of Technol., France2
Vrije Universiteit Amsterdam, Amsterdam, NL2
Key Lab of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China2
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW 2007, Australia2
Department of Computer Science, University of Toronto, Toronto, Canada2
Università di Salerno v. Ponte don Melillo, 84084, Fisciano (IT)2
Dept. of Telecommunication, Siddaganga Institute of Technology (SIT), Tumkur, India2
Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece2
Department of Informatics and Telecommunications, University of Athens, Athens, Greece2
St. Pölten University of Applied Sciences2
Wearable Computing Laboratory, Swiss Federal Institute of Technology, Zürich, Switzerland.2
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA2
Delft University of Technology, The Netherlands2
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Türkiye2
Department of Forestry and Management of the Environment, Democritus University of Thrace, Orestiada, Greece2
Machine Perception Laboratory, Beihang University, Beijing, 100191 China2
Science and Technology on Parallel and Distributed Processing Laboratory, College of Computer, National University of Defense Technology, Changsha 410073, China2
State University of New York at Buffalo, Buffalo, NY, USA2
Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea2
Tsinghua University, Department of Electronic Engineering, Beijing, China2
University of Texas at Arlington, Arlington, USA2
Machine Learning and Computer Vision Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, West-Java Indonesia2
College of Machatronics Engineering, National University of Defense, Chang Sha, China2
Mobile Robotics and Intelligence Lab. (MORIN), the Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea2
HumanRobot Interaction Research Center, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea seojh2
Faculty of Electrical and Electronics Engineering, Firat University, Elazig, Turkey2
Department of Electrical Engineering, IIT Hyderabad, Kandi, Telangana, 502285, India2
School of Design, Zhejiang Wanli University, Ningbo, China2
Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Graduate University of Chinese Academy of Sciences, Beijing, China2
College of Information Science and Engineering Ritsumeikan University, Kusatsu, Japan2
Department of Computer Engineering, College of E&ME, National University of Sciences and Technology, Islamabad, Pakistan2
Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia2
Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China2
Universidad Tecnica Federico Santa Maria, Department of Electronic Engineering, Valparaiso, Chile2
EAVISE, Technology Campus De Nayer, KU Leuven, Belgium2
School of Information and Engineering, Wuyi University, Jiangmen 529020, Guangdong, China2
School of Automation, South China University of Technology, Guangzhou 510000, Guangdong, China2
Department of Electrical and Electronic Engineering University of Hong Kong, Hong Kong Hong Kong, China2
School of Computer Science, Reykjavik University, Reykjavík, Iceland2
Carnegie Mellon University (CMU)2
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China, Department of Mathematics, Menoufia University, Menoufia, Egypt2
USP - University of São Paulo / ICMC, SSC - LRM (Mobile Robots Lab.), São Carlos, 13566-590, Brazil2
Department of Communications & Computer Engineering, University of Malta, Msida, MSD20802
Broadcasting & Telecommunications Media Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea2
Faculty of the Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China2
Department of Electrical and Computer Engineering, Coordinated Science Laboratory and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., 61801, USA2
ESAT - PSI, iMinds, KU Leuven, Leuven, Belgium2
Computer Science Department, University of Mossouri, 65211, USA2
School of Computer Science and Software Engineering, East China Normal University, 3663 Zhongshan North Road, Shanghai, China2
Delhi Technological University, Delhi2
Electrical Engineering, Indian Institute of Technology, Gandhinagar, India 3823552
University of Udine, Via Delle Scienze, 206, 33100, Udine, Italy2
State Grid Zhejiang Electric Power CO. LTD, China2
Gazi Üniversitesi, Turkey2
University of Maryland, College Park, MD, 207422
Intelligent Fusion Technology, Inc, Germantown, MD, USA2
Faculty of Science and Technology, University of Macau, China2
Philips Research, Eindhoven, The Netherlands2
School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, 74078, USA2
TU Berlin2
Beijing Institute of Science and Technology Information2
College of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China2
School of Information Science and Technology, Huizhou University, Huizhou, China2
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Perth, Australia2
Centre for Development of Advanced Computing, Mumbai, India2
Xerox Research Centre Europe, Meylan, France2
Centre for Vision, Speech and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK2
Miovision Technologies Inc., Kitchener, Canada2
Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands2
Centre de Développement des Technologies Avancées, Algeria2
Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China2
Dept. of Electronics and Communication Engineering, Hanyang University, Sangnok-gu, Korea2
SPAWAR Systems Center Pacific, San Diego, California, USA2
Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY2
Electrical Engineering Department AmirKabir University of Technology Tehran, Iran2
Institut Fresnel, Université de Marseille, Marseille, France2
Department of Psychology/Brain Research Institute, Chungnam National University, 220, Gung-dong, Yuseong-gu, Daejeon, 305-765, S. Korea2
Department of Computer Science, The University of Liverpool, Liverpool, UK2
Laboratory for Pattern Recognition and Computational Intelligence, University of Applied Sciences Aschaffenburg, Germany2
University of Canterbury, Christchurch, New Zealand2
Center for Artificial Intelligence and RObotics (CAIRO), Aswan University, Sahari 81528, Egypt2
University of Calgary, Calgary, Canada2
College of Computer Science and Electronic Engineering, Hunan University, Changsha Hunan, P. R. China2
Beckman Institute, University of Illinois at Urbana, Champaign, USA2
Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Human Machines Interaction (HMI) Laboratory, 65404 Kavala, Greece2
College of Electronic Science and Engineering, Nanjing University, Nanjing, China2
School of Computer Science and Engineering, The University of Aizu, Japan, Tsuruga, Ikkimachi, Aizuwakamatsu-city, Fukushima prefecture, 965-8580 Japan2
Infotech Oulu, Oulu Univ., Finland2
Computer Vision Laboratory, University of Sassari, Italy2
School of Electrical Engineering and Computer Science, Seoul National University, Korea2
School of Electronic and Informatics Engineering, Jiangsu University, Zhenjiang, China2
A*STAR, Singapore2
Computer and Automation Research Institute H-1111, Kende u. 13-17, Budapest, Hungary2
School of Computer and System Science, Jawaharlal Nehru University, New Delhi, India2
Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, China2
The University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA2
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore2
University of Science and Technology of China, Hefei, P.R. China2
Jordan University of Science and Technology, Irbid, Jordan2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Texas 77204, USA2
Toyota Research Institute, North America, Toyota Technical Center, Ann Arbor, MI 48105, USA2
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102
The Australian National University RSCS, ANU, Canberra, Australia2
Aristotle University of Thessaloniki, Dept. of Informatics Box 451, Thessaloniki 541 24, Greece2
Department of Psychology, University of Northern British Columbia, Prince George, Canada2
Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China2
Sensing and Industrial Imaging, Siemens Corporate Technology, Munich, Germany2
Multimedia Communications and Signal Processing, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany2
Dept. of Electrical Engineering, LUMS, Pakistan2
Thales, Moirans, France2
School of Information Science and Engineering, Yunnan University, Kunming 650091, China2
Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong2
Lincoln Centre for Autonomous Systems, School of Computer Science, University of Lincoln, Lincoln, U.K.2
Software School, Xiamen University, Xiamen, PR, 361005, China2
IIIT Bangalore, India2
Institut de Robòtica i Informàtica Industrial (CSIC-UPC)2
Guangzhou University, Guangzhou, China2
Pittsburgh Univ., PA, USA2
Columbia University, New York, NY2
Department of Information Engineering, the Chinese University of Hong Kong, Shatin2
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Başkent University, Ankara, TURKEY2
Department of Computer Science, Hong Kong Baptist University, China2
College of Information Science and Technology, Nanjing Forestry University, Nanjing, China2
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China2
Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK2
Karlsruhe Institute of Technology, Germany2
Fudan University, China2
Iowa State University, USA2
OSRAM GmbH, Germany2
Intel, Nizhny Novgorod, Russia2
National Research Council, Italy2
Computer Vision and Remote Sensing, Berlin University of Technology, Sekr. FR 3-1, Franklinstr. 28/29, 10587, Germany2
TeV, Fondazione Bruno Kessler, Trento, Italy2
Team of research SIIVA - RIADI laboratory, Institut supérieur d'informatique (ISI), Tunisia2
Department of Signal Processing, Tampere University of Technology, Finland2
Center for Optical Imagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
School of Computer and Information Science, Southwest University, Chongqing, China2
Distributed Events Analysis, Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary2
Faculty of Computer Engineering, Shahid Rajaee Teacher Training University. Shabanlou, Lavizan, Tehran, Iran2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China2
Harbin Engineering University, Harbin, Heilongjiang, 150001, China2
Friedrich Schiller University Jena, Jena, Germany2
Institute for Inforcomm Research 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386322
NRU Higher School of Economics, Moscow, Russia2
Toyota Research Institute, North America, Ann Arbor, USA2
Computer and Information Sciences Department, Temple University, Philadelphia, PA USA2
College of Information Science and Engineering, Ritsumeikan University, Kusatsu-shi, 525-8577, Japan2
ATR Center, Wright State University, Dayton, Ohio2
National University of San Agustin - UNSA, Arequipa - Peru2
Brno University of Technology, Brno-střed, Czech Republic2
Deutsche Welle, Bonn, Germany2
GSI Universidad Polit-écnica de Madrid, Madrid, Spain2
Science and Engineering Faculty, Queensland University of Technology, Australia2
Samsung Electronics, Korea2
Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi, India2
Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, China2
Automobile Transport Command Department, Military Transportation University, Tianjin, China2
School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China2
University of Chinese Academy of Sciences, School of Computer and Control Engineering, Beijing, China2
Nesamony Memorial Christian College, Marthandam - 629165, Tamil Nadu, India2
Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland2
Organization of Advanced Science and Technology, Kobe University, Japan2
Department of Electrical and Computer Engineering, Video Processing and Communication Lab, University of Missouri, Columbia, MO, USA2
EURECOM, Campus SophiaTech, Sophia Antipolis, France2
Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea2
Fac. of Inf. Sci. & Technol., Multimedia Univ., Melaka, Malaysia2
Division of Computing Systems, School of Computer Engineering, Nanyang Technological University, Singapore, Singapore2
Department of Computer Science, Guangdong University of Technology, Guangzhou, China2
Shenzhen University, Shenzhen2
Shenzhen Institutes of Advanced Technology, The Chinese Academy of Sciences, Shenzhen2
Department of Computer Engineering, Ferdowsi University of Mashhad, Iran2
Department of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Mashhad, Iran2
Graduate University, Chinese Academy of Sciences and Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
Orange Labs International Center Beijing, Beijing, 100876, China2
Chinese Academy of Sciences, Beijing, P.R.China2
Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, P.R. China2
Department of Electrical Engineering & Computer Science, University of Kansas, Lawrence, 66045-7621, USA2
School of Business Northwest Normal University, Lanzhou, China2
National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, P. R. China2
School of Computer Science and Technology, Beijing Jiaotong University, Beijing, 100190, P. R. China2
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, USA2
University of Maryland, College Park, College Park, USA2
University Sidi Mohamed Ben Abdellah, Faculty of Sciences and Technology, Laboratory of Renewable Energies and Intelligent Systems, Fez, Morocco2
IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, China2
University of the Bundeswehr, Munich Werner-Heisenberg-Weg, 39 85577 Neubiberg, Germany2
Aalborg University, Aalborg, Denmark2
German Research Center for Artificial Intelligence (DFKI GmbH), Saarland Informatics Campus, Saarbrücken, Germany2
College of Computer and Information Engineering, Henan University, Kaifeng, China2
State Key Laboratory of Software Engineering, Computer School, Wuhan University, Wuhan, China2
Johnson Controls Inc., Milwaukee, Wisconsin2
Université de Toulouse ; UTM-IUT de Figeac ; LRP-mip (Laboratoire de recherche pluridisciplinaire du nordest de Midi-Pyrénées) ; Avenue de Nayrac, F-46100, FIGEAC, France2
CRISTAL laboratory, GRIFT research group, National School of Computer Sciences (NSCS), La Manouba 2010, Tunisia2
Department of Computer Science, Chengdu University of Information Technology, Chengdu, China2
POSTECH Pohang, Republic of Korea2
Ocular Imaging Department, Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore2
Laboratory for Sensor and Modeling, Department of Geoinformatics, University of Seoul, Seoul, Korea2
School of Electrical and Information Engineering, University of Sydney, Camperdown, NSW, Australia2
Signal Processing Lab, IEETA / DETI University of Aveiro, 3810-193 Aveiro, Portugal2
Video Surveillance Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Image Processing and Pattern Recognition Laboratory, Beijing Normal University, 100875, China2
Beijing Key Laboratory of Information Service Engineering, Beijing Union University, 100101, China2
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore, Singapore2
Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK2
The Hong Kong Polytechnic University, Hong Kong2
Harbin Institute of Technology, China2
Tsinghua University, China2
School of Electrical and Computer Engineering, Platform Technologies Research Institute, RMIT University, VIC 3001, Australia2
School of Electrical and Information Engineering, Shanghai University of Electric Power, Shanghai, China 2000902
Machine Learning Department, Carnegie Mellon University, Pittsburgh, USA2
Language Technologies Institute, Carnegie Mellon University Universidade NOVA Lisboa, Pittsburgh, USA2
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam-7880102
Koc University, Istanbul, Turkey2
Southwest Jiaotong University, China2
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA2
Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York 146232
School of Electrical and Computing Engineering, University of Campinas, Campinas 13083-852, Brazil2
Department of Computing, Imperial College London, London, 180 Queen’s Gate, UK2
Department of Computing, Curtin University, Bentley, Australia2
Merses Center for Applied Research, Pforzheim University, Germany2
Bilgisayar Mühendisligi Bölümü, İstanbul Teknik Üniversitesi2
Department of Electrical Engineering, 43 Sec.4 Keelung Rd., Taipei, Taiwan2
School of Computer and Information, Hefei University of Technology, 230009, China2
Escola Superior de Saude de Alcoitão, Alcoitão, Portugal2
Universidade NOVA Lisboa, Caparica, Portugal2
Research&Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai 201804, P.R China2
University of Nottingham2
Department of Computer Science, University of North Carolina at Chapel Hill2
Australian Center for Visual Technologies, and School of Computer Science, University of Adelaide, Canberra, Australia2
IT Department, SSN College of Engineering, Chennai, India2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, CA 92093 USA2
Imperial College London, Department of Electrical and Electronic Engineering, UK2
INRIA Grenoble Rhône-Alpes, France2
Graduate School of Electrical Engineering, University of Ulsan, 133-791, Korea2
Mechanical and Aerospace Engineering, Carleton University, Ottawa, Canada2
Universidade Federal do Paraná, Curitiba, Brazil2
Carleton University, Ottawa, Ontario K1S 5B6, Canada2
Dept. of Appl. Phys. & Electron., Umea Univ., Sweden2
Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China2
Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul, Korea2
School of Computer Science and Technology, Tianjin University, China2
Chinese Academy of Sciences, Xi'an, China2
PRaDA, Deakin University, Australia2
Department of Computer Science, Purdue University, West Lafayette, USA2
College of Information Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China2
Beckman Institute, University of Illinois Urbana-Champaign, Urbana, IL, USA2
Department of Electrical and Electronics Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, India2
Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria2
Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China2
Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Department of Computer Science, Boston University, Boston, USA2
Michigan State University, East Lansing, MI2
Precise Positioning and Analytics Department, Fraunhofer Institute for Integrated Circuits IIS Nürnberg, Nürnberg, Germany2
Programming Systems Group (Informatics II), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany2
School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines2
School of Data and Computer Science, Sun Yat-sen University, China2
Department of Computer Science and Engineering, National Taiwan Ocean University, No.2, Beining Rd., Keelung 202, Taiwan2
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China2
Nanotechnology and Integrated Bio-Engineering Centre (NIBEC), Faculty of Computing and Engineering, University of Ulster (Jordanstown campus), Northern Ireland2
Dept. Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan2
Department of Computer Science, St Joseph Engineering College, Vamanjoor, Mangaluru2
Dept. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, China2
BestImage Lab, Tencent Co., Ltd., Shanghai, China2
Modelling and Digital Science, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
Department of Computer Science, New Jersey Institute of Technology, Newark2
IIT Madras, Adyar, Chennai, Tamil Nadu, India2
Pandit Dwarka Prasad Mishra and Indian Institute of Information Technology, Design & Manufacturing, Jabalpur - 482 0052
School of information engineering, university of science and technology, Beijing, 100083, China2
State Key Laboratory of Robotics, Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang, 110016, China2
Key Lab of Intel. Inf. Proc., Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
DTIS, ONERA, Université de Paris Saclay, Palaiseau, F-91123, France2
More-Than-One Robotics Laboratory, University of Brunei Darussalam, Brunei Darussalam2
Faculty of Electrical, Electronic, Computer and Control, Engineering - Computer Science, Lodz University of Technology, Lodz, Poland2
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, USA2
Computer Science Department, University of Illinois at Urbana-Champaign2
Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece2
Dept. of IT CEC, Landran, Mohali, India2
Luoyang Electro-Optical Equipment Research Institute, Luoyang, People’s Republic of China2
Schepens Eye Research Institute, Harvard University, Cambridge, USA2
Image Processing Center, Beihang University, Beijing, People’s Republic of China2
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, USA2
Department of Electrical engineering, Graduate university of Advanced Technology, Kerman, Iran2
Research & Innovation Center, Ford Motor Company2
Computer Science and Engineering, Rajshahi University of Engineering and Technology2
State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China2
Brigham Young University, Electrical and Computer Engineering, Provo, UT2
University of Maryland, College Park, College Park, MD, USA2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Gutleuthausstrasse 1, 76275 Ettlingen, Germany2
DIBRIS - Università degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)2
School of Computer and Communication, LanZhou University of Technology, LanZhou, China2
Michigan State University, East Lansing, MI, USA2
Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China2
Faculty of Automation, Guangdong University of Technology, Guangzhou, People’s Republic of China2
Instituto de Tecnologia - UADE, Buenos Aires, Argentina2
Dept. of Computing, The Hong Kong Polytechnic University, China2
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Japan2
University of Oulu, Machine Vision Group, P.O. Box 4500, 90014, Finland2
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China2
Islamic University of Technology, Bangladesh2
Institute of Informatics, Federal University of Rio Grande do Sul, Brazil2
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil2
Eindhoven University of Technology, The Netherlands2
Hewlett-Packard Laboratories, Palo Alto, CA, USA2
Graduate School of IPS, Waseda University, Kitakyushu, lapan2
Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India2
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10.2
School of Computer Science, National University of Defense Technology2
School of Chemical Engineering, The University of Queensland, Australia2
Columbia University2
Massachusetts Institute of Technology2
National Chung Cheng University2
D.Y. Patil college of engg., Akurdi, Pune2
Telecom ParisTech, CNRS-LTCI, 46 rue Barrault, 75013 Paris, France2
Global Big Data Technologies Centre, University of Technology Sydney, Australia2
School of Science and Engineering, Meisei University, Hodokubo, Hino-city, Tokyo, Japan2
The Department of Measurement, University of Ulm, Control and Microtechnology, Ulm, 89081, Germany2
Daimler AG, Research and Development, Ulm, 89081, Germany2
Vision Lab, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom2
School of Engineering, Computing & Science, Swinburne University of Technology, Kuching, Malaysia2
School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China2
Rensselaer Polytechnic Institute, USA2
School of Computer Science and Technology, Nanjing Normal University, Nanjing, China2
Technical University of Munich, Munich, Germany2
Robert Bosch GmbH, Renningen, Germany2
Sichuan Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
Idiap, Switzerland2
Kingston University, London, United Kingdom2
EyeVerify, Inc., Kansas City, USA2
Sullivan Nicolaides Pathology, Australia2
School of Electricity and Electron Engineering, Changchun University of Technology, Changchun China2
Department of Computer & Information Science, University of Macau, Macau2
Department of Electrical & Computer Engineering, The Ohio State University, OH2
Cyprus University of Technology2
Institute of Information and Communication, Beijing University of Posts and Telecommunications, Beijing, China2
Image Processing and Computer Vision Group, Computer Science Department, Universidad de Buenos Aires, Argentina2
Electrical and Computer Engineering, The University of Texas at Austin, 201 E 24th Street, 78705, USA2
College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China2
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran2
Beijing Key Laboratory of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, Beijing, China2
School of Computer Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu2
Faculty of Electrical Engineering, Federal University of Uberlândia, Brazil2
Institute for Information Technology and Communications, University of Magdeburg, Germany2
The University of Texas at Arlington, USA2
College of Computer Science, Zhejiang University of Technology, 310023 Hangzhou, China2
Instituto de Investigaciones en Ingeniería Eléctrica, Departamento de Ingeniería Eléctrica y de Computadoras, Universidad Nacional del Sur (UNS)-CONICET, Argentina2
Electrical and Computer Engineering Department, Semnan University2
College of Computer Science, Chongqing University, chongqing, China 4000302
Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, USA2
Georgia Institute of Technology, Atlanta, GA, USA2
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland2
School of Computer and System Sciences, Jawaharlal Nehru University, New Delhi, India2
Islamic University of Technology, Gazipur-1704, Bangladesh2
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India2
Florida International University2
Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, Türkiye2
Department of Computer Science and Information Engineering, National Taipei University of Technology Taipei 10608, Taiwan2
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China2
South Valley University, Qena, Egypt2
Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh2
Department of Mechanical Engineering, Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh2
Department of Electrical Engineering, Tafresh University, Tafresh, Iran2
State Key Laboratory of High Performance Computing (HPCL) and College of Computer, National University of Defense Technology, Changsha, China2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, People’s Republic of China2
School of Comm. and Info. Engineering, Beijing University of Posts and Telecom., China2
Microsoft Research Ltd., Cambridge, UK2
Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan2
Defence Research and Development Canada, Valcartier, Quebec2
UK Defence Science and Technology Laboratory, Porton, Salisbury, UK2
Department of Computer Science, University of Otago, Dunedin, New Zealand2
School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China2
Institute of VLSI Design, Zhejiang University2
Faculty of Engineering Technology, University Hasselt2
Ningbo University, Ningbo, China2
School of Control Science and Engineering, Dalian University of Technology, Dalian, China2
Univ. of Cambridge, Computer Laboratory2
School of Automation Science and Electrical Engineering, BeiHang University, Beijing, China2
Center for Forensics, Biometrics and Privacy, Faculty of Organization and Informatics, Varaždin, Croatia2
Electronics and Computer Science, Southampton University, UK2
Department of Multimedia Communications, EURECOM, Les Templiers, Biot, France2
Institute of Information Science, Academia Sinica, Taipei, Taiwan Roc2
Dalian Key Lab of Digital Technology for National Culture, Dalian MinZu University, Dalian, 116600, China2
Institute of System Science, Northeastern University, Shenyang, 110089, China2
Computing & Information Science and Computer Engineering, Rochester Institute of Technology, NY 14623, USA2
Dept. of Language, Literacy, and Sociocultural Studies, University of New Mexico, United States2
image and video Processing and Communications Lab (ivpcl.unm.edu), University of New Mexico, United States2
E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Ciudad Real, Spain2
Metaio GmbH2
University of Caen, Caen, France2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea2
Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea2
Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, 15213, USA2
Denso Corporation, Kariya, Japan2
Research Center of Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Department of System Architecture, ZTE Corporation, Shenzhen, China2
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10 Turkey2
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh PA 15213, USA2
Graduate School of IPS, Waseda University, Japan2
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR2
Department of Radiology, University of Pennsylvania, Philadelphia, PA2
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand2
Dept. Electronic Engineering, Natuonal University of Ireland, Galway2
University of Massachusetts2
Gwangju Institute of Science and Technology, School of Electrical Engineering and Computer Science, Gwangju, Korea2
College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan2
Computer Laboratory, University of Cambridge, England2
Osaka University, Graduate School of Information Science and Technology, 1-5 Yamadaoka, Suita, Osaka, 565-0871, Japan2
CSE Department Chandigarh University, Gharuan Mohali, Chandigarh2
University of California at Irvine, Irvine2
Intelligent Systems and Biomedical Robotics Group, The School of Computing, State Key Laboratory of Mechanical System and Vibration, University of Portsmouth, Shanghai Jiao Tong University, Portsmouth, Shanghai, U.K.China2
School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China2
Institution of Intelligent Systems, College of Computer Science, Intelligent Systems and Biomedical Robotics Group, The School of Computing, Zhejiang University of Technology, University of Portsmouth, Hangzhou, Portsmouth, ChinaU.K.2
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel2
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China2
School of Computer and Information Engineering, Hefei University of Technology, Hefei, China2
Department of Computer Science and Engineering, Michigan State University, East Lansing, USA2
School of Mathematical Science, UCAS, China2
Dept. of Electronic and Communication Engineering Hanyang University ERICA2
Institut TELECOM ; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France2
The University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, Canada2
TÜBİITAK-BİILGEM-UEKAE, Anibal Cad., P.K.74, 41470, Gebze-KOCAELİ, Turkey2
School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia2
New Industry Creation Hatchery Center, Tohoku University, Sendai, Japan2
Graduate School of Information Sciences, Tohoku University, Sendai, Japan2
Sun Yat-sen University, China2
University of California, Los Angeles2
Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, China2
Department of Computer Science, University of Calgary, AB, Canada2
Computer Science Institute, Hochschule Ruhr West, Germany, Bottrop 462402
Department of Computer Science, University of Verona, Verona - Italy2
DGIST2
Western Kentucky University, Department of Computer Science, Ogden College of Science & Engineering, Bowling Green, KY 42101, USA2
Warsaw University of Technology, Department of Automation and Aeronautical Systems, Warsaw, Poland2
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, China 3100182
Department for Technology, Innovation and Enterprise, Singapore Polytechnic, Singapore 1396512
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong2
Sichuan Univ., Chengdu2
Academy of Broadcasting Science, No.2 Fuxingmenwai Road, Xicheng District, Beijing, China2
Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Haidian District, Beijing, China2
Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil2
National Engineering Research Center for E-Learning, Central China Normal University2
Data Analytics and Computer Vision Department, PARC, a Xerox Company, Webster, NY, USA2
Department of Electrical Engineering, National Chaio Tung University, Hsinchu, Taiwan2
Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA2
Department of CSE, GGITS, Jabalpur2
School of Computing, Queen's University, Kingston, Canada2
Dept. of Computer Science, University of Illinois Urbana-Champaign (UIUC), USA2
University of Vigo, Spain2
University of South Florida, Tampa2
Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi, India2
Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Electrical Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Computer Science, University of Texas at San Antonio2
National Key Laboratory of Science & Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China2
Department of Computer Science, Rhodes University, Grahamstown, South Africa2
Fondazione Bruno Kessler, University of Perugia, Trento, Perugia, Italy2
Zhejiang University, HangZhou, China2
Research Center of Applied Statistics and Big Data, Huaqiao University, Xiamen, 361021, China2
BeingThere Centre, Institute of Media Innovation, Nanyang Technological University, Singapore2
Signals and Systems Group, Faculty of EEMCS, University of Twente, the Netherlands2
IRISA (CNRS, Univ. Rennes 1), Campus de Beaulieu, Rennes, France2
Instituto de Ciências Exatas e Informática, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, Brazil2
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil\2
Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA2
School of Electrical Engineering, Zhengzhou University, Zhengzhou, China2
Technical University of Cluj Napoca2
Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York United States2
Computer Vision Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore2
Anhui University, HeFei, China2
AI Speech Ltd., Suzhou, China2
Research Center of Machine Learning and Data Analysis, School of Computer Science and Technology, Soochow University, Suzhou, China2
Department of Information and Control, Nanjing University of Information Science & Technology, Nanjing, China2
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China2
School of Computer Science and Technology2
School of Information Technologies, University of Sydney, NSW 2008, Australia2
Instituto de Ciências Matemáticas e de Computação, University of São Paulo, Brazil2
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India2
Rensselaer Polytechnic Institute, Troy, NY, USA2
Intelligent Recognition and Image Processing Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, 100083, China2
Department of Computer and Information Science, University of Macau, Macau 999078, China2
Advanced Digital Sciences Center, University of Illinois at Urbana-Champaign, Singapore2
REGIM: Research Groups on Intelligent Machines, University of Sfax, ENIS, Sfax, Tunisia2
Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia2
Dept. of Mech. and Automation Engineering, The Chinese University of Hong Kong2
Media Computing Group, Microsoft Research Asia, Beijing, China2
Department of Computing Science, University of Alberta, Edmonton, Canada2
Department of Applied Mathematics, School of Science, Northwestern Polytechnical University, Xi'an 710072, China2
College of Informatics, Huazhong Agricultural University, Wuhan P.R. China 4300702
Portland State University, Portland, OR, USA2
University of Thessaly Dept. of Computer Science and Biomedical Informatics, Papasiopoulou, Lamia, Greece2
Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia2
Graduate School of Engineering, Hiroshima University, Higashihiroshima, Hiroshima 739-8521, Japan2
Dept. of Math. and CS, Western Kentucky University, USA2
Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany2
Dept of Computer Sci & Electrical Eng, West Virginia University, Morgantown, United States2
NCCU, USA2
WVU, USA2
Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye2
Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye2
LIVIA, École de technologie supérieure, Université du Québec, Montréal, Canada2
Department of Electronic and Electrical Engineering, The University of Sheffield, South Yorkshire, U.K.2
Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Electronics and Information Engineering, Anhui University, Hefei, China2
Istituto Italiano di Tecnologia2
University of Verona2
Department of Electrical Engineering, Princeton University, Princeton, NJ, USA2
Universitat Pompeu Fabra, Barcelona, Spain2
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China2
University of Dundee, Dundee, UK2
Imperial College London, London, UK2
Technical University of München, Garching, Germany2
University of Bern, Bern, Switzerland2
University College London, London, UK2
School of Computer Engineering, Nanyang Technological University, Singapore 6397982
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom2
Korea Advanced Institute of Science and Technology School of Electrical Engineering2
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye2
Department of Mathematics, Centre for Mathematical Imaging and Vision, Hong Kong Baptist University, Hong Kong2
Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
Department of Computer Science, University of Texas, San Antonio, TX, USA2
Universidad Autónoma of Madrid (Spain)2
Seoul National University, Seoul, South Korea2
Intelligent Vehicle IT Research Center at Seoul National University, Seoul, South Korea2
Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA2
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway2
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak Malaysia2
Centre for Intelligent Machines, McGill University, Montréal, Canada2
Department of Computer Science, Thomas J. Watson School of Engineering and Applied Science, SUNY Binghamton University, Binghamton, NY2
Department of Computer Science, Grove School of Engineering, CUNY City College, New York, NY2
Department of Computer Science, CUNY Graduate Center, New York, NY2
Department of Electrical Engineering, Grove School of Engineering, CUNY City College, New York, NY2
IBT, University of Tampere, Tampere, Finland2
DEIS, University of Bologna, Cesena, Italy2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy2
Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National Central University, Jhongli, Taiwan2
Deep Learning Group, Microsoft Research, Redmond, Washington United States2
Dept. of Computer & Communication Engineering, Daegu University, Gyeongsan-City, 38453, South Korea2
Duke University, NC, USA2
School of Educational Information and Technology, Central China Normal University, Wuhan, China2
Deptartment of CSIE, Chung-Hua University, Hsinchu, Taiwan2
University of Florence, Firenze, Italy2
Visual Learning and Intelligence Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India2
Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, USA2
Disney Research, CH2
National Laboratory of Pattern Recognition, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
ACL Laboratory at Sharif University of Technology2
Captial Normal University, Beijing2
Water Optics Technology Pte. Ltd, Singapore2
Harbin Institute of Technology, Shenzhen, China2
Universitat de Barcelona, Spain2
Computer Vision Center (UAB), Spain2
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA2
Virginia Tech, USA2
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, 33204 Gijón, Spain2
SINERCO, Rendueles Llanos 8, 33205 Gijón, Spain2
Toyota Technological Institute at Chicago, Chicago, IL, USA2
Toyota Technological Institute, Nagoya, Japan2
Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan2
Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA2
Department of Physics and Electronics, Beijing University of Chemical Technology, Beijing, China2
University of Nottingham, Nottingham, United Kingdom2
University of Wisconsin-Madison, United States2
Artificial Intelligence Laboratory, University of Tsukuba, Japan2
Huizhou University, Huizhou, China2
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China2
Ars Electronica Futurelab, Linz, Austria2
Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China2
Multimodal Signal Processing Laboratory, The University of Texas at Dallas, Richardson, TX2
GE Healthcare, London, ON, Canada2
University of Maryland, College Park, MD2
University of Califonia, Berkeley, Berkeley, CA, USA2
P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation2
Simon Fraser University, Surrey, BC, Canada2
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China2
Yahoo Labs, San Francisco, USA2
Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China2
Kitware Inc., Clifton Park, NY, USA 120652
Dipartimento di Informatica, Università di Salerno, Fisciano, Italy2
Magister Teknik Informatika, Universitas Atma Jaya Yogyakarta, Sleman, Indonesia2
Stony Brook University, Stony Brook2
Autonomous Intelligent Systems, Computer Science Institute VI, University of Bonn, 53113, Germany2
University of California, Irvine, USA2
The Weizmann Institute of Science, Rehovot, ISRAEL2
Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla CA 92092, USA2
Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy2
TOYOTA Central Research and Development Labs, 41-1, Yokomichi, Nagakute, Aichi, Japan2
Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea, Gwangju, Korea2
Center for Future Media & School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China2
Institute of Linguistics Chinese Academy of Social Sciences, Beijing, China2
Environment Perception, Daimler AG, Sindelfingen, Germany2
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand2
Institute of Computing, University of Campinas, Campinas, SP, 13083-852, Brazil2
Australian National University, Canberra2
Department of Information Technology, Noorul Islam University, Kumaracoil - 629180, Kanyakumari District, Tamilnadu2
Institute of Industrial Science, the University of Tokyo, 4-6-1 Komaba, Meguro-ku, JAPAN2
Laboratory of Automated Queuing Systems and Signal Processing, V. A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia2
Department of Electronics & Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, India2
Department of Information & Communication Technology, ABV-Indian Institute of Information Technology & Management, Gwalior, India2
Department of Computer Science, National Chiao Tung University, Taiwan2
West Virginia University, MILab, LCSEE, 395 Evansdale Drive, Morgantown, 26506-6070, U.S.A.2
Dept. of Intelligent Interaction Technologies, University of Tsukuba, Japan2
Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taiwan2
School of Electronics& Information Engineering, Xi'an Jiaotong University, China2
School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Guangdong Province, China2
Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia2
School of Computer Science and Software Engineering, The University of Western Australia, Nedlands, WA, Australia2
Department of Information Engineering, Chinese University of Hong Kong, Hong Kong2
Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, Guangzhou, China2
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China2
Department of Computer Technology, Shanghai Jiao Tong University, Shanghai, China2
College of Computer Science, Chongqing University, Chongqing 400044, China2
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China2
Radboud University Nijmegen, The Netherlands2
Rutgers, The State University of New Jersey2
Dhirubhai Ambani Institute of Information and Communication Technology, India2
IT Innovation Centre, University of Southampton, United Kingdom2
Department of Electronic, Computer and Biomedical Engineering, Islamic Azad University, Qazvin branch, Iran2
Graduate School of Engineering, Osaka University 2-1 Yamadaoka, Suita, 565-0871, Osaka, Japan2
Advanced Perception Center of Aptiv (previous Delphi Corporation), Electronics & Safety, Agoura Hills, CA, 91301, USA2
Media Analytics Dept., NEC Laboratories America, Inc., Cupertino, CA 95014, USA2
Centre of Development of Advanced Computing (CDAC), Mumbai, 400049, India2
National Chiao Tung University, Hsinchu, Taiwan Roc2
Microsoft Research, Beijing, Taiwan Roc2
Compute Science and Engineering, Arizona State University, Tempe, 85281, USA2
National University of Defense Technology, Hunan, China2
Robotics Institute, Carnegie Mellon University2
Swiss Federal, Institute of Technology, Lausanne (EPFL), Switzerland2
Department d'InformatiqueESST, Tunisia2
Department of Computer EngineeringKhalifa University, UAE2
School of Computer Science and Engineering, University of New South Wales, Kensington, NSW, 2052, Australia2
Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Korea2
School of Data and Computer Science and Guangdong Key Lab. of Information Security and Technology, Sun Yat-Sen University, Guangzhou, China2
GREYC, CNRS UMR 6072, Université de Caen2
Microsoft Research Cambridge, UK2
Harbin Institute of Technology, Weihai, China2
Department of Computer Science, COMSATS Institute of Information Technology, Lahore, Pakistan2
LMU Munich, Germany2
IRCV Group, Rovira i Virgili University, Reus, Spain2
Grundlagen Elektro-Technnik Laboratory, Paderborn University, Paderborn, Germany2
Department of Electrical Engineering, National Chiao Tung University, Hsinchu 300, Taiwan2
Google, Mountain View, USA2
Center for Automation Research, UMIACS, University of Maryland, College Park, USA2
Department of Electrical and Computer Engineering, University of Macau, Macau, China2
Polytechnic School of Pernambuco, University of Pernambuco, Recife-PE, Brazil2
Computer Science & Engineering, PEC University of Technology, Chandigarh, India2
Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Computer Engineering Department, Vishwakarma Institute of Technology, Pune2
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Turkey2
Escola Universitaria Politecnica de Mataro, Spain2
Laboratory Heudiasyc, University of Technology of Compiègne, BP 20529. F-60205, France2
Visual Intelligence Research Group Electronics and Telecommunications Research Institute, Daejeon, Korea2
Knowledge e-Learning Research Group2
Department of Mechanical Engineering, Temple University, Philadelphia, 19122, PA2
Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia2
West Virginia University, Electrical Engineering, Morgantown, USA2
School of Computer, China University of Geosciences, Wuhan, China2
School of Digital Media, Jiangnan University, Wuxi 214122, Jiangsu, China2
School of Mathematics and Statistics, Yunnan University, Kunming, China2
Institut für Informatik, Ludwig-Maximilians-Universität München, Munich, Germany2
Department of Computer Science, Aarhus University, Denmark2
Czech Technical University, Prague, Czech Republic2
Department of Informatics, University of Hamburg, Germany2
Max-Planck Institute for Informatics, Saarbrücken, Germany2
Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 133-791, Korea2
Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education, Chongqing, China2
Eastman Kodak Company, Rochester, USA2
Naver Labs Europe, Meylan, France2
Center for Special Needs Education, Nara University of Education, Takabatake-cho, Nara-shi, Nara, Japan2
School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Electrical and Computer Engineering, University of Victoria, BC, Canada2
Sapienza Università di Roma, Roma, Italy2
Computer Science Department, University of Moncton, NB, Canada, E1A 3E92
Department of Computer Sciences, The University of Texas at San Antonio, San Antonio, TX, USA2
Automated Driving Department, Forschungs-gesellschaft Kraftfahrwesen mbH Aachen, Aachen, Germany2
Automated Driving Department, Institute for Automotive Engineering, RWTH Aachen University, Aachen, Germany2
Department of EEE, Indian Institute of Technology (IIT) Guwahati, India-7810392
Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Austria2
Institute of Applied Mathematics, Academy of Science, Beijing, 100190, China2
State Key Lab of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China2
Department of Biomedical Engineering, Oregon Health & Science University, Beaverton, 97006, USA2
Elektronik ve Haberleşme Mühendisliği Bölümü, NETAŞ Telekomünikasyon A.Ş, İstanbul, Türkiye2
National University of Singapore, Nanyang Avenue, Singapore2
IoT and Robotics Convergence Research Division, Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu, Republic of Korea2
Broadcasting & Telecommunications, Convergence Media Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Department of Digital Systems, University of Piraeus, Piraeus, Greece2
National Technical University of Athens, Athens2
GRIFT Research Group, CRISTAL Laboratory, National School of Computer Sciences, University of Manouba, Tunisia2
Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
Dept. of Electronics, Rajiv Gandhi Institute of Technology (RIT), Kottayam, Kerala, India2
Institute of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan2
Department of Electronic Engineering and Information Science, CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China, Hefei, China2
Department of Medical Informatics, University of Medicine and Pharmacy “Victor Babes”, Piata Eftimie Murgu, 300041 Timisoara2
University of California, Riverside Riverside, CA, 92521, USA2
Universidad Politécnica de Valencia, Instituto Tecnológico de Informática, Camino de Vera s/n, 46022 (Spain)2
University of California, Merced, CA2
University Carlos III of Madrid, Univ. Group for Identification Technologies, Avda. Universidad, 30, E-28911 - Leganes; SPAIN2
Computer Science, University of Haifa, Carmel, 31905, Israel2
Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, Houston, USA2
Intel Labs, Pittsburgh PA2
Department of Sciences and Information Technology, University of Sassari, Viale Mancini 5, 07100 Sassari, Italy2
College of Computer Science and Software Engineering, Shenzhen University, China2
California Institute of Technology, Jet Propulsion Laboratory, Pasadena, CA, USA2
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China2
OFFIS - Institute for Information Technology, Oldenburg, Germany2
University of Oldenburg, Oldenburg, Germany2
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India 3820072
Dept. Matemàtica Aplicada i Anàlisi, UB, Barcelona, Spain2
Computer Vision Center, Cerdanyola del Vallès, Spain2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an City, 710049, China2
Department of Electrical Engineering and Advanced Institute of Manufacturing with High-Tech Innovations, National Chung Cheng University, Chiayi, Taiwan2
Department of Computer and Software Engineering, Polytechnique Montréal, Montréal, QC, Canada2
Dept. of Electronic and Computer Engineering, Brunel University London, Uxbridge, UB8 3PH, UK2
Elektrik-Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Turkey2
Communication Systems Group, Technische Universitat Berlin, Germany2
Robot Intelligence Lab, Dyson School of Design Engineering, Imperial College London, UK2
Computer Science Department, Technical University of Cluj-Napoca, Cluj Napoca, Romania2
National Ilan University, Ilan, Taiwan Roc2
GREC Research Group, Universitat Politècnica de Catalunya, Barcelona, Spain2
CICTE Research Center, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Dep. DECEM, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Elektrik - Elektronik Mühendisliği Bölümü, Atılım Üniversitesi, Ankara, Türkiye2
Rutgers University2
CNRS-LTCI, Institut Mines-TELECOM TELECOM ParisTech, France2
Université Pierre et Marie Curie (LIP6), Paris, France2
TNLIST, Department of Automation, Tsinghua University2
Faculty of Engineering, Universitas Indonesia, Indonesia2
Institute of Information Science, Beijing Jiaotong University, Beijing, China 1000442
Department of Computer Science, Mangalore University, Mangalore, Karnataka, India2
Sorbonne Universités, Paris, France2
Electronics and Telecommunications Research Institute, Youga, Dalsung, Daegu, Korea2
University of St Andrews North Haugh St Andrews KY16 9SX Fife, Scotland, United Kingdom2
Shandong Agricultural University, College of Information Science and Engineering, China2
Signal Processing of Ministry of Education Southeast University, Key Laboratory of Underwater Acoustic, China2
National Innovation Centre for Ageing, Newcastle University, UK2
School of Computer Science and Technology, Tianjin University, Tianjin2
Dept. of Electrical and Computer Engineering, National University of Singapore2
Department of Electrical Engineering, Yuan-Ze Univsersity, Taiwan2
Department of Computing, the Hong Kong Polytechnic University, Hong Kong2
EIS, Huazhong Univ. Sci. and Tech., China2
Center for Automation Research, University of Maryland, College Park, 20742, United States of America2
Khalifa University, Abu Dhabi, UAE2
Center for Automation Research, UMIACS, University of Maryland, College Park, 20742, USA2
Division of Computer Science and Engineering, Center for Advanced Image and Information Technology, Chonbuk National University, Jeonju, Republic of Korea2
Division of Computer Science and Engineering, Chonbuk National University, Jeonju, Republic of Korea2
Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China2
Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, India2
Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN, USA2
Istanbul Technical University, Istanbul, Turkey2
Center for Research in Intelligent Systems, University of California, Riverside, USA 925072
Information and Communication Technology, Gautam Buddha University, Greater Noida2
The 28th Research Institute of China Electronics Technology Group Corporation, China2
Université Paris-Est, LEPSIS, IFSTTAR, F-77447 Marne-la-Vallée, France2
Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China2
University of Southampton, Southampton2
School of Computer & Communication Engineering, University of Science and Technology Beijing, China2
School of Computer Science, University of Windsor, Canada N9B 3P42
University of Notre Dame, USA2
Coursera and Stanford University2
Department of Computer Science, Gyan Ganga Institute of Technology & Sciences, Jabalpur, M.P, India - 4820012
Department of Oncology, University of Oxford, Oxford, UK2
Department of Electrical Engineering, Tsinghua University, Beijing, 100084, China2
National Taiwan Normal University, Taipei, Taiwan Roc2
University of Florence, Florence, Italy2
Institution of Information Science, Beijing Jiaotong University, Beijing, China2
Division of Electronics and Communication Engineering, School of Engineering, Cochin University of Science and Technology, Kochi - 682022, Kerala, India2
Convergent SoC Research Center Korea Electronics Technology Institute2
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies2
Department of Mechanical Engineering and Intelligent Systems, University of Electro-Communications, Chofu, Japan2
University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000, Croatia2
Department of Computer Science and Information Engineering, National Formosa University, Taiwan, R. O. C.2
Keio University, Tokyo, Japan2
Keio University, Yokohama City, Kanagawa, Japan2
School of Computer and Control Engineering, University of the Chinese Academy of Sciences, Beijing, China2
Innovation Center, Canon USA Inc., San Jose, California2
University of Texas at San Antonio, San Antonio, Texas2
Graduate Institute of Networking and Multimedia and the Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan2
Institut für Nachrichtentechnik (INT), Universität Karlsruhe (TH), Germany2
School of Electrical Engineering, KAIST, Daejeon, Republic of Korea2
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, USA2
u’smile, the Josef-Ressel-Center for User-Friendly Secure Mobile Environments, University of Applied Sciences Upper Austria, Wels, Austria2
Institute of Neural Information Processing, University of Ulm, Ulm, Germany2
Technical center for the Mechanical Industry (CETIM), France2
COMVILAB - Computational Vision and Intelligence Laboratory, Federal University of Mato Grosso do Sul - Ponta Porã Campus, Rua Itibiré Vieira, s/n, 79907-414, Brasil2
Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India2
Inst. of Comput. Sci., Univ. of Leoben, Austria2
Robotics and Perception Group, University of Zurich, Switzerland2
Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran2
CENPARMI, Concordia University, Montréal, Québec, Canada2
CyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA2
Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York 14623, USA2
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey2
Hewlett-Packard Labs, 1501 Page Mill Rd. Palo Alto, CA, USA2
Computer Science and Technology, Tsinghua University, Beijing, China2
Graduate School of Information Science, Department of Media Science, Nagoya University, Japan2
School of Electronics and Computer Science, University of Southampton, Southampton, UK2
Dept. of Electronics, Telecommunications and IT, University Politehnica Bucharest, Romania2
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, USA2
GREYC Laboratory, ENSICAEN - Université de Caen - CNRS, 6 boulevard Maréchal Juin, 14000, France2
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kuching, Malaysia2
Department of Mechanical Engineering, National University of Singapore, Singapore2
Institute of Cartography and Geoinformatics, Leibniz Universität, Hannover, Germany2
University of Southampton, SO17 1BJ, UK2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr2
Mazda Motor Co., 2-5 Moriya-cho Kanagawa-ku, Yokohama, Kanagawa 221-0022, Japan2
National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba Ibaraki, 305-8568, Japan2
Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea2
Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra, India2
Shanghai University, School of Communication & Information Engineering, Shanghai, China2
L3S Research Center, Leibniz Universität Hannover, Hannover, Germany2
Center for Machine Vision Research, Department of Computer Science and Engineering, University of Oulu, 90014 Oulu, Finland2
Movidius Plc., Dublin, Ireland2
Collage of Electronic and Information Engineering, South China University of Technology, Guang Zhou, China2
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong2
Department of Mathematics, Center for Computer Vision, Sun Yat-Sen University, Guangzhou, China2
Department of Computing, The University of the West Indies, Mona, Kingston 72
Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea2
Dept. of Electronics and Telecommunication Engg., S. G. G. S. Institute of Engineering and Technology, Vishnupuri, Nanded - 431 606, India2
Institute of Energy, Jiangxi Academy of Sciences, Nanchang, China2
Micron Technology Inc.2
Department of ECE, Mepco Schlenk Engineering College, Sivakasi2
School of IoT Engineering, Jiangnan University, Wuxi, People’s Republic of China2
Telecommunications and Informatics Gdansk University of Technology, Department of Computer Architecture Faculty of Electronics, Gdansk, Poland2
ARC Centre of Excellence for Robotic Vision, Monash University, Australia2
Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China2
Department of Computer Science and Engineering at the Toyohashi University of Technology, Japan2
University of British Columbia, Canada2
Computer Science, Fudan University, Shanghai, 201203, China2
Electronic Engineering and Computer Science, Queen Mary University, London, United Kingdom2
Berger Levrault, Labege, France2
Sigmedia Group, Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
School of Electronic Engineering and Computer Science Queen Mary University of London2
Faculty of Computers and Information, Cairo University, Egypt2
Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taiwan2
School of Computer Science and Engineering, UESTC, Chengdu, China2
School of Information Science and Engineering, Jinan, China2
School of Computing Sciences, University of East Anglia2
Multimedia Processing Laboratory, Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan2
UIET, Panjab University, Chandigarh, India2
Department of Electronics, University of Goa, India2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-453331, India2
Advanced Medical Electronics, USA2
Department of Computer Science, School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa2
Department of Computer Science, Graduate School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa2
Faculty of Information Sciences and Engineering, University of Canberra, Australia2
RSISE, Australian National University, Australia2
School of Computing and Mathematics, Charles Sturt University, Sydney, NSW, Australia2
Fraunhofer IAIS, Sankt Augustin, Germany2
University of California at Los Angeles, Los Angeles, CA, USA2
TSC Department, University of Vigo, Spain2
Gradiant (Galician Research and Development Center in Advanced Telecommunications), Spain2
Department of Electrical Engineering, University of Washington, Washington USA2
Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan2
INAOE, Puebla, Mexico2
School of Automation, Huazhong University of Science and Technology, Wuhan, China 4300742
Yahoo Labs, San Francisco, CA, USA2
Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia2
University of Memphis, Memphis, TN2
School of Mathematical Sciences, Rochester Institute of Technology, NY 14623 USA2
Department of Electrical and Electronics Engineering, Eski¿ehir Osmangazi University, Me¿lik Campus, 26480, Turkey2
Stevens Institute of Technology, Hoboken, NJ, USA2
College of Computer Science. Chongqing University, Chongqing, China2
Bilgisayar Mühendisliği Bölümü, Marmara Üniversitesi, İstanbul, Türkiye2
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China2
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, China2
Departamento de Computação, Universidade Federal do Piauí, Teresina, Brasil2
Institute of software, Chinese Academy of Sciences, Science and Technology on Integrated Information System Laboratory, Beijing, China2
School of Electrical & Information Engineering, University of Sydney, NSW 2006, Australia2
School of Engineering and Computer Science, Independent University, Bangladesh2
University of Electronic Science and Technology of China, West Hi-Tech Zone, Chengdu, SiChuan, China2
School of Computer Science, University of Windsor, Windsor, Canada2
Department of Computer Science, College of Natural Sciences & Mathematics, University of Houston2
Sinhgad Academy of Engg, Dept. of Electronics and Telecommunication Engg, Kondhwa, India2
Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany2
KU Leuven ESAT-PSI, iMinds2
Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, India2
Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Turkiye2
School of Information Science and Technology, Jiujiang University, China2
Research Institute of Wuhan University in Shenzhen, China2
Computational Biomedicine Lab, University of Houston2
Institut TELECOM; TELECOM Lille 1, France2
Shenzhen Key Lab of Comp. Vision and Patt. Recog., Shenzhen Institute of Advanced Technology, CAS, P.R. China2
Department of ECE, University of Delaware, USA2
University of Ulsan, Graduate School of Electrical Engineering, Ulsan, 44610, Korea2
Institute of Advanced Manufacturing Technology, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, China2
Department of Electrical Engineering, National Tsing Hua University, Taiwan2
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Hong Kong2
Visual Analysis of People Laboratory, Aalborg University, Aalborg, Denmark2
USC Institute for Creative Technologies2
Beijing Innovisgroup Tec Co. LTD, Beijing, China2
Massachusetts Institute of Technology, Cambridge, USA2
Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan2
Intelligent Biometric Group, School of Electrical and Electronics Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Malaysia2
Electrical, Electronics & Automation Section, Universiti Kuala Lumpur, 09000 Kulim Hi-Tech Park, Malaysia2
Université de La Rochelle, France2
Kyungpook National University, Buk-go, Daegu, Republic of Korea2
University of California, Davis, Davis, CA, USA2
INRIA Sophia Antipolis Méditerranée, Sophia Antipolis, France2
Department of Mathematics and Computer Science, University of Catania, Italy2
CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France2
Division of Control, EEE, Nanyang Tech. Univ., Singapore2
Dept. of Computer Science and Engg., IIT(BHU), Varanasi, India2
PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Algeria2
Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany2
Mount Sinai Hospital, Toronto, Canada2
School of Information Science & Technology, Sun Yat-sen University, and SYSU-CMU Shunde International Joint Research Institute, China2
Computer Science Department, Portland State University2
Center for Automation Research, UMIACS, University of Maryland, College Park, MD, USA2
University of Valencia2
Ghent University - imec - MICT, Korte Meer, Ghent2
Ghent University - imec, ELIS - IDLab, Pietersnieuwstraat, Ghent2
Computer Science Department, Technion Israel Institute of Technology, Haifa, Israel2
Department of Electronic Engineering, Fudan University, Shanghai, 200433, China2
Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India2
Department of Computer Science and Engineering, Christ University, Bengaluru, India2
Augsburg University, Augsburg, Germany2
Augsburg University, Augbsurg, Germany2
Baskin School of Engineering, University of California Santa Cruz, 1156 High St, Santa Cruz, CA 95064 USA2
Shahid Bahonar University of Kerman Computer Engineering Department, Kerman, Iran2
Institute for Media Innovation, Nanyang Technological University, Singapore, Singapore2
Cardiff University2
Nankai University2
Institute of Informatics, Silesian University of Technology, Gliwice, Poland2
The Graduate University for Advanced Studies (Sokendai), Tokyo, Japan2
School of Automation, Southeast University, Nanjing, China, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China2
Teachers College, Columbia University, NY, USA2
University of Notre Dame, Notre Dame IN, USA2
National University of Defense and Technology2
Utrecht University, CC Utrecht, The Netherlands2
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, USA2
Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Dept. of Comput. Sci., Western Cape Univ., South Africa2
School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece2
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA2
Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, Korea Rep.2
Shanghai Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, China2
iCV Group, Institute of Technology, University of Tartu, Tartu 50411, Estonia2
National Tsing Hua University, Hsinchu, Taiwan, R.O.C.2
Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran2
University of Technology Sydney, Broadway, Ultimo, NSW 2007, Australia2
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), State Key Lab of Intelligent Technologies and Systems, Tsinghua University, Beijing, China2
Department of Computer and Information Sciences University of Delaware, Newark, DE, U.S.A.2
Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea2
REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax, 3038, Tunisia2
College of Automation Science and Engineering, South China University, Guanghzou, 510641, China2
Department of Electric and Electronics, Selçuk University, Konya, Turkey2
Simon Fraser University, Burnaby, Canada2
Research Center of Intelligent Robotics, Department of Automation, Shanghai Jiao Tong University, 200240, China2
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran2
University of Windsor Department of Electrical and Computer Engineering Windsor, Canada2
National Lab of Pattern Recognition, Chinese Academy of Sciences, Beijing, China2
School of Computer Science and Technology and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China2
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan2
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, 4259-R2-52 Nagatsuta, Midori-ku, Yokohama, JAPAN 226-85032
Multimedia Communications Department, EURECOM, 2229, Route de Cretes, BP 193, F-06560, Sophia-Antipolis, France2
Department of CS&E, Visualization and Perception Lab, Chennai, India2
Institute of Computer Science and Technology, Peking University, Beijing 100871, China2
Robotics and Perception Group, University of Zurich, Zurich, Switzerland2
Department of Electronic and Communication Engineering, MSRUAS, Bengaluru, Karnataka 560058, India2
SoC Platform Research Center, Korea Electronics Technology Institute, Sungnam, Republic of Korea2
Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Surathkal, India2
Yonsei University, Incheon, South Korea2
CAI, University of Technology Sydney, Sydney, Australia2
Institute of Linguistic Sciences, Jiangsu Normal University, Xuzhou, China2
National Laboratory of Pattern Recognition, (NLPR), Institute of Automation, CAS, Beijing, China2
Jiaxing University, Jiaxing, China2
National Laboratory of Speech and Language Information Processing, University of Science and Technology of China, Hefei, China2
Commonwealth Scientific and Industrial Research Organisation, Clayton South, Vic. , Australia2
Speech, Audio, Image and Video Technology Laboratory, Queensland University of Technology, Brisbane, Australia2
Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China2
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo 101-8430, Japan2
School of Computer Science, China University of Geosciences, Wuhan 430074, China2
Dept. of Computer & System Sciences, Visva-Bharati University, Santiniketan, India2
Dept. of Computer Science & Engineering and Information Technology, Siliguri Institute of Technology, Siliguri, India2
Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China2
Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia2
Instituto de Microelectronica de Sevilla IMSE-CNM-CSIC C/ Américo Vespucio, s/n (esquina Leonardo da Vinci) Sevilla, Spain2
SCOPE Vellore Institute of Technology, Vellore, India2
School of Computer Science and Technology, HuBei University of Science and Technology, Xianning, 437100, China2
Statistical Machine Intelligence & LEarning, School of Computer Science & Engineering University of Electronic Science and Technology of China, 611731, China2
Benha Faculty of Engineering, Benha University, Benha, Egypt2
Department of Electrical and Computer Engineering, University of Texas at Dallas, Multimodal Signal Processing (MSP) Lab, Richardson, TX, 75080, USA2
Dept., of ECE, Government College of Technology, Coimbatore, Tamil Nadu, India2
Institute of Information Technology and Communications, Otto-von-Guericke University, Magdeburg, Germany2
LRIT, Unité Associée au CNRST (URAC 29), Faculty of Sciences, Mohamed V-Agdal University, Rabat, Morocco2
Department of Computing and Numerical Analysis, Maimonides Institute for Biomedical Research (IMIBIC), University of Córdoba, Córdoba, Spain2
Institute of Computing - University of Campinas, SP, Brazil, 13083-8522
Department of CSE&IT, Rayat & Bahra College of Engg. & Bio-Tech, Kharar, India2
Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye2
School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Nanyang Technological University, Electrical and Electronic Engineering, Nanyang Link, Singapore 6397982
National Taiwan University of Science and Technology, No.43, Keelung Rd., Sec.4, Da'an Dist., Taipei City 10607, Taiwan2
Laboratory LAROSERI, Department of Computer Science, Faculty of Sciences, University of Chouaib Doukkali, El Jadida - Morocco2
RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
RITS Team, INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
Université Pierre et Marie Curie, Paris, France2
Amity School of Engineering and Technology, Amity University, Uttar Pradesh, India2
HERE Technologies, Chicago, Illinois, 60606, USA2
Faculty of the Institute of Artificial Intelligence, Robotics, Xi’an Jiaotong University, Xi’an, China2
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China2
Australian Center for Visual Technologies, University of Adelaide, SA, Australia2
School of Electronics and Information Technology, Sun Yat-Sen University, Guangdong, People's Republic of China2
Data Science Research Laboratories, NEC Corporation. Kawasaki, Japan2
Leiden University, Leiden, The Netherlands2
TNO, The Hague, The Netherlands2
National Institute of Standards and Technology, Gaithersburg, USA2
Faculty of Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece2
Institute of Information Science, Beijing Jiaotong University, Beijing 1000442
Department of Electrical Engineering, Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Multimedia Signal Analysis Lab at Electronics & Comms, Eng. Dpt., Electrical & Electronics Faculty, Yildiz, Technical University, Istanbul, Turkey2
University Moulay Ismail, Meknes, Morocco2
Computer and Electronics Security Systems, Department of Computer Science and Digital Technologies, Northumbria University, UK2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xian, 710049, China2
Multimedia Computing Lab, University of Augsburg, Germany2
Faculty of Electrical and Computing Engineering, University of Campinas, Campinas, São Paulo, Brazil 13083-8522
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, INDIA2
School of Computer Science and Technology, Tianjin University, 300072, China2
LRIT, associated unit to CNRST 29, Faculty of Sciences, Mohammed V University, Rabat, Morocco2
LGS, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco2
Department of ICT, FM University, Balasore, Odisha, India2
Amsterdam University College, Amsterdam, The Netherlands2
Informatics Institute, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands2
Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies, and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
INRIA Rhone-Alps, Montbonnot, France2
Imperial College London2
Graduate University of Chinese Academy of Sciences, Beijing, 100049, China2
The University of Waikato, Knighton Road, Hamilton, New Zealand2
Department of Information & Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain2
School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia2
School of Computer Science and Engineering, The University Of New South Wales, Sydney, Australia2
Department of Data Analysis and Mathematical Modeling, Ghent University, Ghent, Belgium2
IBM T. J. Watson Research, Center, New York, USA2
University of Notre Dame, Notre Dame, Indiana2
Computer Vision Laboratory, ETH Zürich, Zürich, Switzerland2
Group Research of Daimler AG in Ulm, Germany2
Computer Engineering, Rochester Institute of Technology, USA2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of Korea2
Australian Centre for Visual Technologies, University of Adelaide, 5005 South Australia, Australia2
School of Reliability and System Engineering, Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing, China2
Laboratoire d’imagerie de vision et d’intelligence artificielle, École de technologie supérieure, Université du Québec, Montreal, Canada2
Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia2
Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China2
LMU Munich, Munich, Germany2
Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA2
Department of Computer Science, Kent State University, OH 44242, U.S.A.2
Purdue University, West Lafayette, USA2
School of Electrical & Computer Engineering, RMIT University, Melbourne, Australia2
School of Computer Science and Technology, Nanjing Normal University, China2
Schoool of Electronic Engineering, Xidian University, Xi'an, China2
Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong, China2
Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan2
Robot Department, Chubu University, Aichi 487-8501, Japan2
Computer Science Department, Chubu University, Aichi 487-8501, Japan2
Northeastern University, USA2
Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science and Technology, Nanjing, China2
College of Software, Shenyang Normal University, Shenyang, China2
International School, Beijing University of Posts and Telecommunications, Beijing, China2
School of Information Science and Technology, Beijing Forestry University, Beijing, China2
Department of Engineering, University of Perugia, Perugia, Italy2
School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA2
Distributed Multimedia Systems Technical University of Darmstadt, Germany2
Michigan State University, East Lansing, U.S.A.2
São Carlos School of Engineering, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil2
Department of Cognitive ScienceSchool of Information Science and Engineering, Xiamen University, Xiamen, China2
University of Dayton, Dayton, USA2
College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China2
Labo Handibio, University of Toulon-Var, France2
School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, Scotland UK2
The University of Queensland, St. Lucia, QLD2
Department of Information Technology, PCE, New Panvel, Navi Mumbai, India2
University of Valladolid (Spain), Dep. Of Systems Engineering and Automatic Control, Industrial Engineering School2
Department of Computer Education, Sungkyunkwan University, Seoul, Republic of Korea2
ECE/UPATRAS, Patras, Greece2
CERTH/ITI, Thessaloniki, Greece2
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, Australia2
Shanghai Jiaotong University, Shanghai, China2
Information Technology, NICHE, Noorul Islam University, Kumaracoil, Thuckulay, India2
Department of Computer Engineering, Sejong University, Seoul, Korea2
Department of Computer Science, University of Warwick2
Max-Planck-Institute for Informatics, Saarbrücken, Germany2
Photogrammetry and Remote Sensing Laboratory, ETH Zürich, Switzerland2
University of Bern, Neubrückstrasse 10, Bern, Switzerland2
Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Department of Automation, North-China University of Technology, Beijing, China2
Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
Naval Research Laboratory, Washington, DC 203752
North Carolina State University, ECE Department, Raleigh, NC-27606, USA2
CongniVue Corporation, Gatineau, QC, Canada2
School of Electrical and Electronic Engineering, University of Manchester, Manchester, U.K.2
Computer Engineering Department, S.V. National Institute of Technology, Surat, 329507, India2
Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa, Allahabad 211012, India1
Shenzhen Sunwin Intelligent Co., Ltd, China1
Department of Electrical, Computer and IT Engineering, Qazvin Azad University, Qazvin, Iran1
Department of Electronic Engineering, Chinese University of Hong Kong, Shatin, Hong Kong1
Toyota InfoTechnology Center, Mountain View, CA 94943 USA1
Nokia Corporation, San Francisco, CA, USA1
Yahoo Research, USA1
Research Center of Learning Science, Southeast University, Nanjing 210096, China; The Engineering Research Center of Information Processing and Application, Southeast University, Nanjing 210096, China1
Department of Mathematics, University of Punjab, Lahore, Pakistan1
School of Systems and Technology, University of Management and Technology, Lahore, Pakistan1
Guangdong Key Laboratory of Information Security Technology, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China1
Yazd University, Yazd, Iran1
University of Chicago, Chicago, IL, USA1
University of Texas at Austin, Austin, TX, USA1
Core Technology Center Omron Corporation Kyoto, Japan1
Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany1
Corporate Technology, Siemens AG, München, Germany1
Empolis Information Management GmbH, Kaiserslautern, Germany1
Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany1
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH, Saarbrücken, Germany1
Carnegie Mellon University, PA, 152131
School of Computer Science and Technology, Soochow University, Suzhou, China, 2150061
Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, València, Spain1
College of Information Engineering, Shenzhen University, Shenzhen, China1
University of Seville , Sevilla, Spain1
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan1
Bilgisayar Mühendisliği Bölümü, ITÜ1
Bili§im Enstitüsü, İTÜ1
Department of electrical and electronic engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia1
school of computer science and engineering, Xi¿an University of Techonology, China1
Faculty of Computer Science and Information Technology, YunNan Normal Univeristy, 650092, China1
School of Management, Capital Normal University, Beijing, China1
College of Computer Science and Technology, Qingdao University, Qingdao, China1
College of Automation and Electrical Engineering, Qingdao University, Qingdao, China1
School of Data Science and Software Engineering, Qingdao University, Qingdao, China1
Laboratory of Image Processing and Data Mining, Shahrood University of Technology, Shahrood, Iran1
Distributed Artificial Intelligence Laboratory, Technische Universität Berlin, Berlin, Germany1
Omron corporation1
Dept. de Ciência da Computacão, Universidade Federal de Ouro Preto, MG Brazil1
Interactive and Digital Media Institute, National University of Singapore, Singapore1
Shenzhen Silver Star Intelligent Technology Co., LTD, China1
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY 146231
Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 146231
II-LIDI, UNLP, La Plata, Argentina1
Dept. of CS and E, U.B.D.T.College of Engineering, Davanagere, Karnataka, India1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. schettini@disco.unimib.it1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. cusano@disco.unimib.it1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. colomboal@disco.unimib.it1
Digital Image Group (DIG), London, Canada1
Department of Medical Imaging, Western University, London, Canada1
Computational Medicine Lab, Shandong University of Traditional Chinese Medicine, Jinan, China1
Technical University of Catalonia, Barcelona, Spain. ferran@gps.tsc.upc.es1
Technical University of Catalonia, Barcelona, Spain. veronica@gps.tsc.upc.es1
Intel Corporation, Hudson, MA, USA1
Nvidia Research, Westford, MA, USA1
Computer Engineering, Hacettepe University, Ankara, Turkey1
Computer Science, Boston University, Boston, USA1
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
ShanghaiTech University1
Carleton University1
Shenzhen University1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Australia1
Stanford University, Department of Psychology, Jordan Hall, 450 Serra Mall, Building 420, Stanford, CA 94305, USA1
University of New South Wales, 2052 Sydney1
Graphic Era University, Dehradun, India1
Uttarakhand Technical University, Dehradun, India1
Jilin University, Changchun, China1
Università di Trento, Povo, Italy1
University of Bristol, Bristol, United Kingdom1
Amrita E-Learning Research Laboratory, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, India1
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Amrita E-Learning Research Laboratory and the Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Innovations Kontakt Stelle (IKS) Hamburg, Hamburg University of Applied Sciences1
School of Engineering and Computing, University of the West of Scotland1
Computer Science Department, Central Washington University (CWU)1
ICT Center, CSIRO1
Department of Electrical and Computer Engineering, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates1
Fac. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
Center of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia1
Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia1
Technische Universität München, München, Germany1
LCSEE, West Virginia University, Morgantown, WV 26506, USA1
AT&T Labs Research, Middletown, NJ, USA1
Peking University Shenzhen Graduate School & Peking University, Shenzhen, China1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, People’s Republic of China1
Department of Electronic Engineering National Kaohsiung, University of Applied Sciences, Kaohsiung 807, Taiwan1
Xi’an Jiaotong University, Xi’an, Shaanxi, China1
Redpine Signals Inc., Hyderabad, India1
Indian Institute of Technology, Hyderabad, India1
Centre for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Singapore, 6397981
Department of Electronic Engineering Shanghai Jiao Tong University1
Institute of Communication Engineering, National Tsing-Hua University, Taiwan1
Foundation for Research and Technology--Hellas (FORTH), Greece1
Stanford University, Stanford, California, USA1
HAVELSAN A.Ş., Ankara, Türkiye1
Bilgisayar Mühendisliği Bölümü, İhsan Doğramacı Bilkent Üniversitesi, Ankara, Türkiye1
I.K. Gujral Punjab Techncial University, Kapurthala, India1
Faculty of Sciences, Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia1
Technical Faculty “Mihajlo Pupin”, University of Novi Sad, Zrenjanin, Serbia1
Energy Research Institute @NTU (ERI@N), Interdisciplinary Graduate School, Nanyang Technological University, Singapore 6397981
Harvard University & Microsoft Research, Boston, MA, USA1
OLM Digital Inc, Setagaya, Japan1
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan1
5th Engineering Bldg., Room 619, Shizuoka University, Naka-ku, Hamamatsu, Japan1
School of Computer Science, Guangzhou University, Guangzhou, China1
Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China1
College of Information and Electrical Engineering, Ludong University, Yantai, China1
Wakayama University1
U. of Illinois at Urbana-Champaign, USA1
Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, 956161
Tsinghua University, Microsoft Research Asia, Beijing, China1
Xi'an Institute of Optics and Precision Mechanics &Chinese Academy of Sciences, Xi'an, China1
Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
Guilin University of Electronic Technology, Guilin, People’s Republic of China1
School of Mathematical Sciences, Dalian University of Technology, Dalian, People’s Republic of China1
School of Mathematics, Liaoning Normal University, Dalian, People’s Republic of China1
School of Information Science and Technology, University of Science and Technology of China, Hefei, China1
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei, China1
ODTÜ Görüntü Analizi Uygulama ve Araştırma Merkezi (OGAM), Ankara, Türkiye1
Akıllı Veri Analitiği Araştırma Program Müdürlüğü, Aselsan Araştırma Merkezi, Ankara, Türkiye1
Department of Automation, Northwestern Polytechnical University, Xi’an, China1
School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China1
Media Systems and Technologies Department, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine1
Computer Science, University of Arkansas at Little Rock, Little Rock, USA1
Computer Science, Azusa Pacific University, Azusa, USA1
School of Information Science and Engineering, Fudan University, Shanghai, China1
Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, Korea1
Intel Corporation, Beijing, China1
College of Computing, Georgia Tech1
Corporate Research, Robert Bosch GmbH, Stuttgart, Germany1
School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China1
Bilgisayar ve Öğretim Teknolojileri Eğitimi, Dicle Üniversitesi, Diyarbakır, Türkiye1
Bilgisayar Mühendisliği, Fırat Üniversitesi, Elazığ, Türkiye1
Bilgisayar Mühendisliği, Dicle Üniversitesi, Diyarbakır, Türkiye1
Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, P.R. China1
Department of Physics, Indian Institute of Technology Delhi, New Delhi, India1
HCL Technologies, Chennai, India1
Department of Computer Science and Engineering, University at Buffalo-State University of New York, Buffalo, NY, USA1
Institute for Infocomm Research (IR) Singapore 1386321
Pattern Recognition Lab, Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan1
INRIA / Ecole Normale Supérieure, France1
Graduate University, Chinese Academy of Sciences, China1
Cairo University, Egypt1
Dept. of Computer Engineering, Science and Reaserch Branch, Islamic Azad University, Tehran, Iran1
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran1
Precision Silver LLC, Gainesville, FL1
Key Laboratory of Intelligent Perception and Image Understanding, Xidian University, Xi'an, China1
Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan1
Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China, 1000811
University of Rochester, Rochester, NY, USA1
Technological Educational Institute of Sterea Ellada, Psahna, Halkida, Greece1
National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Athens, Greece1
University of Maastricht, Maastricht, The Netherlands1
Centre of Research and Technology Hellas, Thermi, Thessaloniki, Greece1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), the State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China1
Centre for Quantum Computation and Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia1
Computer Science Department, Centro de Innovación para la Sociedad de la Información, University of Las Palmas de Gran Canaria, Las Palmas, Spain1
Department of Electrical and Computer Engineering, University of Denver, Denver, CO, USA1
MNNIT Allahabad, Allahabad, India1
School of Data and Computer Science, Sun Yat-sen University, P.R.China1
Google Inc., Singapore1
German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany1
Department of Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia1
School of Engineering, University of California at Merced, Merced, USA1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA1
Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore1
School of Computing and Communications, University of Technology Sydney, Ultimo, Australia1
School of Information Technology & Management, University of International Business and Economics, Beijing, China1
Department of Applied Electronics, Gulbarga University, Kalaburgi, India1
State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China1
Vision and Pattern Recognition Systems (VisPRS) Research Group Center for Advanced Studies in Engineering, Islamabad, Pakistan1
IUSIANI, Univ. de Las Palmas, Spain1
Agency for Science and Technology Research, Bioinformatics Institute, Singapore1
Beijing Institute of Technology, Beijing 100081, P.R. CHINA1
Department of Computer Science and Technology, Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
Computational Vision Group, University of California at Irvine, Irvine, CA, USA1
Department of Computer Science and Technology, The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
Department of Computer Science and Engineering, American University of Sharjah, UAE1
Intelligent Control Systems Laboratory, Griffith University, Brisbane, Australia1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. w.l.woo@newcastle.ac.uk1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. s.s.dlay@newcastle.ac.uk1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. m.a.dabbah@newcastle.ac.uk1
Department of Electrical Engineering, National Taiwan University of Science and Technology1
Aalborg University, Aalborg SV, Denmark1
Department of Electrical Engineering, University of Biskra, Biskra, Algeria1
Energy Systems Modeling Laboratory, University of Biskra, Biskra, Algeria1
Inst. for Infocomm Res., Singapore1
University of Lincoln, U. K.1
Qihoo 360 AI Institute, Beijing, China1
Institute for Infocomm Research, Connexis South, Singapore1
DISI - Alma Mater Studiorum, Università di Bologna, Bologna, Italy1
Marc Holzapfel is with Dr. Ing. hc. F. Porsche AG, 71287 Weissach, Germany1
Siemens Medical Solutions, Innovations Division, CA 94043, USA1
Department of Electrical and Systems Engineering, University of Miyazaki, Japan1
Department of Environmental Robotics, University of Miyazaki, Japan1
Department of Materials and Informatics, University of Miyazaki, >Japan1
UFMG, Belo Horizonte, Brazil1
Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia. roland.goecke@anu.edu.au1
Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia. jason.saragih@rsise.anu.edu.au1
Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain1
University of Malaga , Malaga, Spain1
Universidad de Granada , Granada, Spain1
Institute of Engineering & Technology, Dr APJ Abdul Kalam Technical University, Uttar Pradesh, Lucknow, India1
Apollo Institute of Technology, Kanpur, India1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. mkp@ee.oulu.fi1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. tahonen@ee.oulu.fi1
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Graduate School of Information, Science Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
Graduate School of Engineering, Nagoya University, Furo-cho, chikusa-ku, Nagoya, Japan1
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
Netherlands Defence Academy and Delft University of Technology1
Delft University of Technology and Netherlands Defence Academy1
Biometrics Research Center, Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong1
College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China1
Computer Science and Engineering, Michigan State University, Lansing, USA1
Engineering Science Department, University of Oxford, Oxford, UK1
Volvo Construction Equipment, Göthenburg, Sweden1
Department of Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
Department of Computer Science, Shahid Beheshti University, GC, Tehran, Iran1
Department of Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran1
Molecular & Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin 2, Ireland1
Centre for Image Processing & Analysis, Dublin City University, Dublin 9, Ireland1
Research Group for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain1
Department of Electrical and Electronic Engineering, Public University of Navarra, Pamplona, Spain1
Information Processing Lab, Department of Electrical Engineering, University of Washington, Seattle, WA, USA1
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China1
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China1
The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense M, Denmark1
Dept. of Autom. Test & Control, Harbin Inst. of Technol., China1
University of California, San Diego, La Jolla, CA, USA1
Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China1
School of electronic information, WuHan University, Wuhan, China1
Engineering Research Center for Spatio-Temporal Data Smart Acquisition and Application, Ministry of Education of China, Wuhan, China1
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China1
Institute of Informatics and Telecommunications NCSR 'Demokritos', Athens, Greece and Electrical and Computer Engineering, National Technical University of Athens, Greece1
Mila, Université de Montréal, Quebec, Canada1
Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea1
Department of Electrical Engineering, Indian Institute of Technology Delhi, India1
Department of Computer Science and Engineering, Indian Institute of Technology Delhi, India1
Department of Computer and System Sciences, Visva-Bharati University, Santiniketan - 731 235, India1
Department of Computer Science Information Technology, University Institute of Technology, The University of Burdwan, Golapbag (North), 713 104, India1
Department of Computer Science and Engineering, Kalyani Government Engineering College, 741 235, West Bengal, India1
Dhofar University, Oman, Salalah1
LARODEC Laboratory, University of Tunis, Tunis, Tunisia1
Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hong Kong1
Department of Computer Engineering, Batman University, Batman, Turkey1
Department of Electrical and Electronic Engineering, Batman University, Batman, Turkey1
Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France1
Computer Science Department, The University of York, Heslington, York, YO105DD, UK, nep@cs.york.ac.uk1
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Department of Electronic Engineering, Kyung Hee University, Yongin, South Korea1
Department of Computer Technologies, Trabzon Vocational School, Karadeniz Technical University, Trabzon, Turkey1
College of Humanities & Sciences of Northeast Normal University, Changchun, China1
Computer Science and Engineering, Anna University, Chennai, India1
Culture Lab, School of Computing Science, Newcastle University, Newcastle upon Tyne, U.K.1
Department of artificial Intelligence and systems engineering Faculty of Computer Science and Information Technology Riga Technical University Riga, Latvia1
University of São Paulo1
University of Porto1
Federal Institute of São Paulo1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, USA1
Computer Science & Engg., School of Computer Science & IT DAVV, Indore, India1
Computer Science & Engg., Visvesvaraya National Institute of Technology Nagpur, India1
Computational Biomedicine Lab, University of Houston, 4800 Calhoun Rd., Houston, TX 77204, USA1
LAMIH Université de Valenciennes, Paris, France1
LGB Université Mohamed Khider, Biskra, Algérie1
LMSE Université Mohamed Khider, Biskra, Algérie1
Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea1
Department of Electronics and Communication Engineering, Amity University, Noida, India1
Hiroshima University, Higashi-Hirosima-shi, Japan1
Meijo University, Nagoya-shi, Japan1
MIT, Cambridge, MA1
Oregon State University, OR1
HES-SO, Sierre, Switzerland1
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University of Notre Dame, Notre Dame, IN. flynn@nd.edu1
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George Mason University, Fairfax, VA 220301
College of Mechanical Engineering & Automation, Huaqiao University, Xiamen, China1
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Computer Engineering Department, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
School of Civil and Environmental Engineering, Oklahoma State University, Stillwater, USA1
Moshanghua Tech Company, Ltd., Beijing, China1
College of Information Engineering, Xiangtan University, Xiangtan, China1
Department of Mathematics and System Science, National University of Defense Technology, Changsha, China1
Department of Imaging and Computer Vision, Siemens Corporate Research, Princeton, NJ, USA1
School of Engineering, The Australian National University, Canberra, Australia1
School of Computer Science, National University of Defense Technology, Hunan , China1
School of Computer Science, National University of Defense Technology, Changsha , China1
College of Information System and Management, National University of Defense Technology, Changsha, China1
Department of Management Science and Engineering, Officers College of Chinese Armed Police Force, Chengdu, China1
Department of Computer Science, University of Toronto, Canada1
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Department of Geography and Environmental Management, Faculty of Environment, University of Waterloo, Waterloo, ON, Canada1
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Oxford-Brookes University, Oxford, OX3 0BP, United Kingdom1
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Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
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Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Milan, Italy1
UNLV STEM, Las Vegas, Nevada1
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Department of Computer Science and Engineering, Indian Institute of Technology (B.H.U), Varanasi, India1
Computer Science & Engineering (CSE), IIIT Naya Raipur, Chhattisgarh, India1
Department of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan1
VU Amsterdam, Van der, Amsterdam, The Netherlands1
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Anhui Keli Information Industry Co. Ltd., Hefei, China1
Key Laboratory of Machine Perception (Peking University), MOE, Department of Machine Intelligence School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China1
INRIA, Grenoble Rhône-Alpes Research Center, Paris, France1
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(CSE)PGOI, Indore1
PGOI, Indore1
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Shaanxi Provincial Key Laboratory of SIIP, School of Computer Science, Northwestern Polytechnical University, Xi'an China1
University of Naples Federico II, Napoli, Italy1
IBM T. J. Watson Research Center, International Business Machines, Yorktown Heights, USA1
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Department of Computer Architecture, University of Málaga, Málaga, Spain1
Faculty of Science, Department of Mathematics, Aswan University, Egypt1
RheinAhrCampus der Hochschule Koblenz, Remagen, Germany1
Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China1
Karlsruhe Institute of Technology (KIT), Institute of Measurement and Control Systems, Karlsruhe, 76131, Germany1
Dept. of Electrical Engineering, Beijing Jiaotong University, China1
Laboratoire d’Informatique de Grenoble, Université Joseph Fourier, Grenoble cedex 9, France1
Image Perception, Access and Language Lab, Institute for Infocomm Research, Singapore, Singapore1
Department of Computer ScienceInstituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal1
Dept. Electronics & Communication Engineering Karunya University, India1
Dept. Electronics & Communication Engineering, Karunya University, India1
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France1
College of Automation, Shenyang Aerospace University, China1
Department of Electrical and Electronics Engineering, Batman University, Batman, Turkey1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, P.R. China1
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Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, Heraklion, Greece1
Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA1
CSIRO and the Australian National University (ANU), Australia1
College of Technological Innovation, Zayed University, UAE1
Institute of Computing, University of Campinas, Brazil1
MIR@CL Laboratory, Faculty of Sciences of Sfax (FSS), University of Sfax, Sfax, Tunisia1
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Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea1
School of of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea1
Computer Vision Group, University of Jena, Jena, Germany1
Daimler AG, R&D, Germany and Hochschule fur Technik, Stuttgart, Germany1
Daimler AG, R&D, Germany and University of Jena, Jena, Germany1
PERCEPTION Team, INRIA Grenoble Rhône-Alpes, France1
Institute of Advanced Technology and College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China1
Computer Vision and Systems Laboratory, Laval University, Quebec, Canada1
School of Informatics, University of Edinburgh, 10 Crichton Street EH8 9AB, U.K.1
School of Electronic Engineering, Xidian University, Xi’an, China1
Computer Science Department, Xiamen University, Xiamen, China1
University of Science & Technology, Beijing, China1
Digital World Research Centre, University of Surrey, UK1
Global Big Data Technologies Centre, University of Technology at Sydney, Sydney, NSW, Australia1
Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China1
Department of Measurement and Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany1
Shin-Guang Elementary School, Yulin 646, Taiwan1
School of Computer and Information Science, Southwest China University, Chongqing, China1
Electrical Electronic Engineering Department, Eastern Mediterranean University, Gazima¿usa, North Cyprus1
Electronics and Comm. Dept., Jawaharlal Nehru Technological Univ., Hyderabad, India1
Electronics and Comm. Dept., Kakatiya University, Warangal, India1
Kodak Research Laboratories, Eastiman Kodak Company, Rochester, USA1
College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, People’s Republic of China1
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, People’s Republic of China1
Université catholique de Louvain, Belgium1
Member, IEEE, Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: k.messer@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: j.kittler@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: c.chan@surrey.ac.uk1
School of Computing & Mathematics, Charles Sturt University, Albury, NSW 2640, Australia1
Discipline of Business Analytics, University of Sydney Business School, Camperdown, NSW 2006, Australia1
School of Computing & Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia1
LIIAN, Department of Mathematics and Computer Science, Faculty of Science, Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco1
LSI, Department of Mathematics, Physics and Computer Science, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza, Morocco1
Department of Computer Science and Information Systems, Birkbeck College, Malet Street, London, Berkshire, United Kingdom1
IBM Research, Australia, Level 5, Lygon street, Carlton, Australia1
Department of Computer and Information Science, Temple University, Philadelphia, PA1
Department of Computational Science Technology, KTH Royal Institute of Technology, Sweden1
LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, 75013, France1
Easwari Engineering College, Anna University, Chennai, India1
Department of Computer Science and Engineering, Anna University, Chennai, India1
School of Science, RMIT University, Melbourne, Australia1
Data61, CSIRO, Canberra, Australia1
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Information, Production and System Research Center, Waseda University, Kitakyushu, Japan1
Dept. of Electrical Engineering, IIT Kanpur, Uttar Pradesh, India-2080161
Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China1
Key Laboratory of Computer Vision and System, Tianjin University of Technology Ministry of Education, Tianjin, China1
ME Communication Systems M.Kumarasamy College of Engineering, Thalavapalayam, Karur, India1
M.kumarasamy college of Engineering, Thalavapalayam, Karur, India1
Department of Computer Science, Cornell University and Cornell NYC Tech1
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School of Automation Science and Electrical Engineering, Beihang University, Beihang, China1
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University of Sao Paulo - ICMC/USP, Brazil1
Department of Electronic Engineering National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.China1
Department of Information Management, Cheng Shiu University China1
Department of Automatic Test and Control, Harbin Institute of Technolog, Harbin, China1
Department of Experimental Psychology, Ghent University, Ghent, Belgium1
Department of Digital Media Technology, Huanggang Normal University, Huangzhou, China1
Collaborative Innovation Center of Geospatial Technology, Wuhan, China1
School of Communication Engineering, Jilin University, Changchun, China1
Department of Informatics, University of Hamburg, Knowledge Technology, Hamburg - Germany1
Tang Department of Communication Engineering, National Central University Jhongli City, Taoyuan County 32001, Taiwan1
Department of Electrical Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan1
Center for Spatial Systems Biomedicine, Oregon Health Sciences University, Portland, U.S.A.1
Center for Comparative Medicine, University of California, Davis, U.S.A.1
Dept. of Computer Science and Engineering Pabna University of Science and Technology, Pabna, Bangladesh1
Dept. of Applied Physics and Electronic Engineering, University of Rajshahi, Rajshahi, Bangladesh1
CEA (iRSTV/BGE), INSERM (U1038), CNRS (FR3425), Université Grenoble-Alpes, Grenoble, France1
NLPR, Institute of Automation, Chinese Academy of Science, Beijing, People’s Republic of China1
Costel, Université de Rennes 2, Rennes, France1
IRISA, Université de Bretagne Sud, Vannes, France1
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)1
Idiap Research Institute and École Polytechnique Fédérale de Lausanne, Martigny, Valais, Switzerland1
University of Windsor, Canada1
Laboratoire d'InfoRmatique en Image et Systèmes, d'information (LIRIS) Université de Lyon, CNRS, Ecole Centrale Lyon (ECL)1
CEERI Pilani, India1
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College of Engineering & Computer Science, Australian National University1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR. ysmoon@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR. thyu@cse.cuhk.edu.hk1
College of Computer Science and Technology of Huaqiao University, Xiamen, China1
Department of Electrical and Computer Engineering, Universtiy of Dayton, Dayton, USA1
France Telecom - Orange Labs, Lannion, France1
Department of Information Engineering, University of Siena, Siena, Italy1
School of software, Beijing Institute of Technology, Beijing, China1
Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, R.O.C.1
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, R.O.C.1
Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, Tainan, R.O.C.1
Department of Software Engineering, King Saud University, Saudi Arabia1
Faculty of Electrical Engineering, Mathematics and Computer Science, Intelligent Systems Department, Delft University of Technology, 2628 CD, The Netherlands1
Department of Electronics Engineering, State University of Makassar, Indonesia1
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA. chengjun.liu@njit.edu1
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School of Mathematics and Computational Science, Sun Yat-sen University, China1
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Computer Science Department, Stanford University, USA1
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Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
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College of Business Administration, University of Alabama in Huntsville, Huntsville, AL, USA1
Bio-Computing Research Center, Shenzhen, Harbin Institute of Technology, Medical Biometrics Perception and Analysis, Engineering Laboratory, Shenzhen, China. Shenzhen, China1
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Yancheng Institute of Technology, Yancheng, China1
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CNR ISM-Institute of the Structure of Matter, Roma, Italy1
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Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China1
IBISC laboratory, Evry, France1
Department of Computer Science, University of North Carolina Wilmington, Wilmington, United States1
Elektrik ve Elektronik Mühendisliği Bölümü, Doğu Akdeniz Üniversitesi, KKTC1
Elektrik ve Elektronik Mühendisliği Bölümü, Lefke Avrupa Üniversitesi, KKTC1
University of Illinois Urbana-Champaign, USA1
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA1
Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology, University of Science and Technology of China Hefei, Anhui, People’s Republic of China1
Dept. of IT SCSVMV University Kanchipuram, Tamil Nadu, India1
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Laboratory LIIAN Faculty of Science Dhar EL Mahraz, Fez, Morocco1
Microsoft Photogrammetry Graz, Austria1
Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France1
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Engineering & Research Center of E-learning, Changchun, China1
College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, China1
University "Politehnica" Bucharest, Department of Telecommunications, Romania, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Danang University of Technology, Vietnam1
Dept. Clinical Psychology University, College London London, United Kingdom1
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SLAC National Laboratory, Stanford University, Stanford, USA1
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Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China1
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Tianjin University, Tianjin & Institute of Information Engineering, Beijing, China1
Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda1
University of Bologna - Bologna, Italy, ETHZ - Zürich, Switzerland1
University of Bologna, Bologna, Italy1
Department of Information and Technology, Nanjing College of Forestry Police, Nanjing 210046, Jiangsu, P. R. China1
College of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu, P. R. China1
Technion, Haifa1
Technion - Israel Institute of Technology, Haifa1
State Key Laboratory of Smart Grid Protection and Control, Nanjing, China1
Department of Electrical and Electronic Engineering, Imperial College, London, UK1
School of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China1
Faculty of Information Science & Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka Malaysia1
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong1
Poongsan Defense R&D Institute1
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, P.R. China1
School of Information Science & Technology, Southwest Jiaotong University, Chengdu, P.R. China1
Gdansk University of Technology, Gdansk, Poland1
Shenzhen Academy of Robotics, Shenzhen, China1
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China1
Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA1
Department of Computer Science & Engineering, BLDEA’s V. P. Dr. P. G. H. College of Engineering & Technology, Vijayapur, India1
Department of Computer Science, Dr P G Halakatti Post Graduate Centre, “Vachana Sangama”, Rani Channamma University, Vijayapur, India1
Columbia University, New York1
Dept. of Mechanical Engineering, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand1
Mechanical Engineering Department, Indian Institute of Technology, Patna, Bihta 8011031
National Inst. of Stand. & Technol., Gaithersburg, MD, USA1
Fraunhofer Institute for Telecommunications, Berlin, Germany1
Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany1
Siemens AG, Corporate Technology, Munich, Germany1
Faculté Polytechnique de Mons - TCTS 31, Mons, Belgium1
IDIAP - Dalle Molle Institute for Perceptual Artificial Intelligence, Martigny, Switzerland1
Nat. Taipei Univ., Taiwan1
MPI Tübingen, Germany1
Leibniz Universität Hannover, Germany1
College of Cyber Security, Jinan University, Guangzhou, China1
CPSLAB, ASRI, School of Electrical Engineering and Computer Science, Seoul National University, Seoul, Korea1
University of Burgundy, Le2i Laboratory, Le Creusot, France1
Department of Computer Science, Air Force Engineering University, Xi’an, China1
Changshu Institute of Technology, Changshu, China1
Department of Electronics, Kyungil University, Daegu, Korea1
Department of Electrical and Computer Engineering, College of Computer and Information Science, Northeastern University, Boston, MA, USA1
SK Telecom, Seoul, Republic of Korea1
KAIST, Daejeon, Republic of Korea1
Department of Computer Science and Engineering, University of Calcutta, Kolkata, India1
Carnegie Mellon University, tk@cs.cmu.edu1
Siemens Corporate Research, yakup.genc@siemens.com1
Siemens Corporate Research, yanghai.tsin@siemens.com1
Carnegie Mellon University, yanli@cs.cmu.edu1
Robotics and Embedded Systems, Technische Universität München, Garching, Germany1
Tokyo Institute of Technology, Japan1
Department of Electrical and Computer Engineering, Saginaw Valley State University, University Ctr, MI- 487101
School of Computer, Wuhan University, China1
School of Physics, Nanjing University, China1
Electrical and Electronic Engineering, Imperial College London, UK1
Information Science and Electrical Engineering, Kyushu University, Japan1
Department of Computer Science and Information Engineering, National United University, Miaoli, Taiwan1
Kent State University, Kent, USA1
Texas A&M University, College Station, USA1
The DiVE, Durham, USA1
Side Effects Software, Santa Monica, USA1
IBM T.J. Watson Research Center, Yorktown Heights, USA1
University of Houston, Houston, USA1
University of Nevada, Reno, USA1
ICT Center, CSIRO, Brisbane, Australia1
ICT Center, CSIRO, Sydney, Australia1
Georgia Institute of Technology, USA1
Chinese Academy of Sciences, Beijing, 100080, China1
Computer Vision Research lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA1
Center for OPTical Imagery Analysis and Learning, Northwestern Polytechnical University, Shaanxi, China1
TCTS Lab, Faculté Polytechnique de Mons, Belgium1
Speech Technology Group, Technical University of Madrid, Spain1
TALP Research Center, Universitat Politècnica de Catalunya, Spain1
Electrical and Electronics Engineering Dept., Bogazici University, Turkey1
AIIA Lab, Aristotle University of Thessaloniki, Greece1
TELE Lab, Université catholique de Louvain, Belgium1
Department of Statistics, Psychology and Computer Science, University of California at Los Angeles, Los Angeles, USA1
Alibaba Group R&D, Hangzhou, P.R. China1
Department of Statistics, University of California at Los Angeles, Los Angeles, USA1
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg1
Department of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal1
Department of Electrical and Computer Engineering, Instituto de Telecomunicações, University of Coimbra, Coimbra, Portugal1
Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Institut Fresnel, UMR CNRS 7249, Ecole Centrale Marseille, France1
Securics, Inc. Colorado Springs, CO, USA1
Institute of Computing, University of Campinas (Unicamp) Campinas, SP, Brazil1
TRI-UHN, Toronto, ON M5S2E4 Canada1
TWH-UHN, Toronto, ON, M5S1A8 Canada1
The Ottawa Hospital Research Institute, Department of Medicine, University of Ottawa, ON, K1H8M5 Canada1
TRI-UHN, Toronto, ON, M5G2A2 Canada1
Intel Labs, 4720 Forbes Ave, Pittsburgh, PA 15213, United States1
UC Berkeley, California, United States1
Onfido, London, United Kingdom1
Institute of Engineering, University of Dunaujvaros, Dunaujvaros, Hungary1
Department of Computer Science, New Jersey, Institute of Technology, Newark, 07102, USA1
KU Leuven, Leuven, Belgium1
University of Washington, Tacoma & Ghent University, Tacoma, WA, USA1
University of California, Santa Cruz & Ghent University, Santa Cruz, CA, USA1
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA1
University of Texas at Dallas, Dallas, TX, USA1
Department of Software Engineering, King Saud University, Riyadh, Saudi Arabia1
Kamala Nehru Institute of Technology, Sultanpur, India1
Designer at the National Institute of Design, Ahmedabad, India1
Faculty of Engineering & Technology, Chattisgarh, India1
Rajarshi School of Management and Technology, Varanasi, India1
Kodak Research Laboratories, Eastman Kodak Company, Rochester1
Faculty of Information Technology Engineering, Tarbiat Modares University, Tehran, Iran1
Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran1
Electrical and Computer Engineering, Ryerson University, Toronto, Canada1
Department of Electrical and Computing Engineering, Ryerson University, Toronto, Canada1
Department of Electrical and Computer Engineering, Naresuan University, Muang, Thailand1
Sandia National Labs Albuquerque, NM1
Grupo de Investigación GDSPROC Universidad del Quinío1
Electronic and Computer Engineering (DIEEI) University of Catania, Department of Electrical, Catania, Italy1
Department of Electronic Engineering, The Chinese University of Hong, Kong Hong Kong, China1
State Grid Zhangjiakou Power Supply Company, Zhang Jiakou, 075000, China1
School of Big Data and Software Engineering, Chongqing University, Chongqing, China1
Department of Art History, Sichuan Fine Arts Institute, Chongqing, China1
College of Medical Informatics, Chongqing Medical University, Chongqing, China1
Institut Pascal, UMR 6602 CNRS, Clermont-Ferrand, France1
Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt1
OmniVision Technologies Singapore Pte. Ltd., Singapore1
Platinum Solutions, Inc, Reston, Virginia United States1
Naval Criminal Investigative Services, NCIS, Washington, DC United States1
Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan1
Department of Computer Science and Technology, Xiamen University of Technology, Xiamen, China1
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China. anthonyming@gmail.com1
Federal University of Ceará, Fortaleza, Brazil1
Federal Institute of Education, Science and Technology of Paraiba, Esperança, Brazil1
Federal Institute of Education, Science and Technology of Maranhão, São Luís, Brazil1
Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil1
College of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China1
Department of Information, The Third Affiliated Hospital, Sun Yat-sen University, China1
Baidu Big Data Research Laboratory, Sunnyvale, CA, USA1
IIT-M1
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Google and Hewlett-Packard Labs1
LinkedIn and Hewlett-Packard Labs1
Amirkabir University of Technology, Electrical Engineering Department, Tehran, Iran1
School of Computing and Communication, University of Technology Sydney, Sydney, Australia1
School of Electronic and Information Engineering, Inner Mongolia University of Science and Technology, Baotou, People’s Republic of China1
School of Electronic and Information Engineering, Beihang University, Beijing, People’s Republic of China1
Department of Computer Science and Technology, Wuhan Technology and Business University, 430065, China1
Department of Psychology and IIASS, Second University of Naples, Caserta, Italy1
AIIS Inc, Columbus, USA1
Wright State University, Dayton, USA1
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia1
Disney Research, 4615 Forbes Ave, Pittsburgh, PA 15213, USA1
Department of Computer Science and Engineering, Manonmanium Sundaranar University, Tirunelveli, India1
Department of M. C. A., St. Xavier's Catholic College of Engineering, Nagercoil, India1
Department of Environment Perception, Daimler AG, Ulm, Germany1
AMLab, University of Amsterdam, Amsterdam, The Netherlands1
Boeing Company, Huntington Beach, CA1
California State University, Fullerton and Binghamton University, Binghamton, NY1
Harbin Engineering University, Harbin, China1
Department of Computer Software, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan1
Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, jonas.richiardi@epfl.ch1
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, P.R. China1
Shaanxi Rural Commercial Bank Co., Ltd., Shangluo, China1
Sense Time Group Limited1
School of Information Science and Technology Sun Yat-sen University, Guangzhou 510275, China1
MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, Hefei 230027; Department of Electronic Science & Technology, University of Science and Technology of China, Hefei 230027. E-mail: zlsustc@gmail.com1
Noblis, Annandale, VA, USA1
NODET, Iran1
Department of Biomedical Engineering, Hakim Sabzevari University, Iran1
Department of Electrical Engineering, Hakim Sabzevari University, Iran1
Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan, R.O.C.1
Division of Information System, The University of Aizu, Aizuwakamatsu, Japan1
Computer and Information System, The University of Aizu, Aizuwakamatsu, Japan1
Information and Technology Department, Nanjing Forest University, Nanjing, China1
Computer Science and Technology Department, Nanjing University, Nanjing, China1
Computational Brain Science Lab, Department of Computational Science and Technology, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden1
3-8-1 Nishi-kanda, Morpho, Inc., Chiyoda-ku, Tokyo, 101-0065, Japan1
Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil1
Department of Electrical Engineering, Florida State University, Tallahassee, USA1
Institut Telecom, Telecom Lille1, LIFL (UMR USTL/CNRS 8022), Villeneuve d’Ascq, France1
Department of Statistics, Florida State University, Tallahassee, USA1
Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan1
Department of Electronics and Communication Engineering, S.J.B. Institute of Technology, Bangalore, India1
Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, India1
Guangxi Experiment Center of Information Science, Guilin, China1
Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China1
Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan1
SATIE, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 94235 Cachan, France1
Institute for Man-Machine Interaction of RWTH Aachen University, 52074 Aachen, Germany1
KIT, EPFL1
Jaypee University of Engineering and Technology, Guna, India1
Advanced Scientific Computing Division, Euro-Mediterranean Centre on Climate Change, Lecce, Italy1
Department of Electrical and Electronic Engineering, University of Surrey, Guildford, U.K.1
University of Athens,, Athens, Greece1
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece1
Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China1
College of computer & communication engineering, Qingdao, China1
Thales UK, Glasgow1
Department of Embedded Systems, Institute for Infocomm Research, Singapore1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey1
National Computer network Emergency Response technical Team/Coordination, Center of China, Beijing 100029, China and Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (C ...1
Monash University, Caulfield East, Australia1
School of Math and Geospatial Sciences, Royal Melbourne Institute of Technology University , Melbourne, Australia1
Department of radiology, Stanford University, CA, USA1
Intelligent Fiber Optic Systems Corporation, Santa Clara, CA, USA1
LSIIT, Strasbourg University - CNRS - INSA, Strasbourg, France1
Japan Automobile Research Institute, Minato-ku, Tokyo 105-0012, Japan1
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA1
Department of Computer Science, Stanford University, Stanford, USA1
School of Mathematics, Beihang University, Beijing, China1
The Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA1
Queensland University of Technology (QUT)1
Technicolor, Cesson-Sévigné, France1
Universidad de Zaragoza, I3A, Zaragoza, Spain1
Department of EEE, Coimbatore Institute of Technology, Coimbatore, India1
Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India1
Department of Computer Science and Information Systems, London, U.K.1
National Laboratory of Pattern Recognition, Institute of Automation, Bejing, China1
Department of Automation, Beijing, China1
Institute of Intelligent System and Decision, Zhejiang, China1
Universidad de Las Palmas de Gran Canaria, SIANI, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain1
CEERI, Pilani, India1
MNIT, Jaipur, India1
Northumbria University, Newcastle, U.K.1
Faculty of Electronic Engineering, Department of Physics and Electronic Engineering, Taishan University, Tai’an, China1
Faculty of Electronic and Communication, Department of Information Science and Engineering, Yanshan University, Qinhuangdao, China1
IBM T. J. Watson Research Center, New York, USA1
Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran1
Key Laboratory of Complex Systems and Intelligent Science, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Institute for Information and System Science, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China1
Department of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China1
School of Science and Technology, Tokai University, Tokai, Japan1
European University Cyprus, Nicosia, Cyprus1
IMIS, R.C. Athena, Athens, Greece1
CNRS, Université de Lyon, Lyon, France1
Teklia SAS, Paris, France1
LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France1
A2iA SA, Paris, France1
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China1
School of Mathematics, Central China Normal University, Wuhan, China1
UBTech Sydney Artificial Intelligence Institute and the School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, J12/318 Cleveland St, Darlington, NSW, Australia1
Department of Computer Science, University of Mysore, Mysore, India1
National Science Library, Chinese Academy of Sciences, Beijing, China1
Departament de Ciències de la Coputació, Computer Vision Center, Universitat Autònoma de Barcelona, Catalonia, Spain1
Department of ECE, PEC University of Technology, Chandigarh, India1
Biomedical Instrumentation (V-02), CSIR-Central Scientific Instruments Organisation (CSIO)|, Chandigarh, India1
Department of TCE, K S Institute of Technology, Bangalore, Karnataka, India1
Samsung Advanced Institute of Technology, Samsung Electronics, Gyeonggi-do, Korea1
Sibley School of Mechanical & Aerospace Engineering, Cornell University, Ithaca NY, 14853, USA1
Senior Member, IEEE1
Department of Computer Science, Minjiang University, Fuzhou, People’s Republic of China1
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, People’s Republic of China1
Center for Biological and Computational Learning, M.I.T., Cambridge, USA1
FZI Research Center for Information Technology, Mobile Perception Systems, 76131 Karlsruhe, Germany1
Istanbul Technical University, Computer Engineering Department, 34469, Turkey1
Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. claus.neubauer@siemens.com1
Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. chao.yuan@siemens.com1
Univ Bretagne Occidentale, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France; CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France1
ENST, Bretagne, GET-ENST, Brest, F-29200 France1
CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France1
Univ Bretagne Occidentale, U650, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France Mathieu.Lamard@univ-brest.fr1
Dept. of EE, Univ. at Buffalo, SUNY, USA1
Research Institute 704, Academy of Aerospace Electronics Technology, Beijing, China1
School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India1
School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India1
Aalto University, espoo, Finland1
Universitat Autonoma de Barcelona, barcelona, Spain1
Linkoping University, Linkoping, Sweden1
Aalto University, Espoo, Finland1
Visual Geometry Group, Department of Engineering Science, University of Oxford1
University of Maryland, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, College Park, Shanghai, MD, USAChina1
Mirada Medical Ltd., Oxford, UK1
Department of Engineering Science, University of Oxford and Mirada Medical Ltd., Oxford, UK1
Center for Advanced Studies in Identity Sciences, Clemson University, Clemson, SC, USA1
Center for Advanced Studies in Identity Sciences, University of North Carolina at Wilmington, Wilmington, NC, USA1
Department of Electronics and Telecommunications Engineering, Danang University of Science and Technology1
University of Rochester, New York, USA1
Microsoft Research, Beijing, People’s Republic of China1
University of Michigan, Ann Arbor1
Department of Computer Science and Technology University of Bedfordshire United Kingdom1
Computer Vision Laboratory Group, Universidad de Zaragoza, Zaragoza, Spain1
Escuela Superior de Ingenieros, Universidad del Pais Vasco, Bilbao, Spain1
Universidad de Valladolid, Valladolid, Spain1
Universidad Politecnica de Cataluña, Terrassa, Spain1
Escuela Universitaria Politecnica de Mataro, Mataro, Spain1
EPS, Universidad Autonoma de Madrid, Madrid, Spain1
University of Pittsburgh, Pittsburgh and Carnegie Mellon University, Pittsburgh1
Center for Pattern Recognition and Machine Intelligence, Concordia University, Montreal, Canada1
Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
Department of Developmental Psychology, Radboud University, Nijmegen, The Netherlands1
Pluryn, Hoenderloo, The Netherlands1
Stichting Otto Gerhard Heldring, Zetten, The Netherlands1
Karakter Child and Adolescent Psychiatry University Centre Nijmegen, Nijmegen, The Netherlands1
Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, The Netherlands1
Centre for Cognition, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands1
Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
School of Tai-an, Shandong University of Science and Technology, Tai-an, China1
Nara Inst. of Science and Technology, Nara, Japan1
Biometrics Research Center, Hong Kong Polytechnic University, Hong Kong1
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xi’an, China1
Department of Computer Scicence and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. E-mail: csqjzhao@polyu.edu.hk1
Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA1
Baidu Research-Institute for Deep Learning, Baidu Inc., Beijing, China1
Xi'an Jiaotong University1
Department of CSE, HBTIU, Kanpur (India)1
Department of IT, UIET, CSJMU Kanpur (India)1
Department of CSE, PSIT COE, Kanpur (India)1
Agency for Science Technology and Research, Institute for Infocomm Research, Singapore1
Treelogic, Technological Scientific Park of Asturias, Llanera, Spain1
Department of Computer Science and Engineering, University of Oviedo, Gijón, Spain1
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, Gijón, Spain1
The School of Electrical Engineering and Automation, Harbin Institute of Technology, P.R. China1
The School of Computer Science and Software Engineering, Shenzhen University1
The Faculty of Science & Technology, Bournemouth University, UK1
Integrated Management Coastal Research Institute, Universitat Politècnica de València, València, Spain1
Department of Computer Science, Madrid Open University, Madrid, Spain1
Department of Research and Diagnostic Methods, Faculty of Education, Pontificia University of Salamanca, Salamanca, Spain1
Sunway University, 46150 Petaling Jaya, Malaysia1
Robotics, Perception and Real-Time Group, University of Zaragoza, Spain1
Electronics Engineering and Computer Science Department, Fukuoka University, Japan1
Department of Intelligent Systems, Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395 Japan1
The University of Tokushima, Japan1
Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan1
Department of Electrical Engineering, National University of Kaohsiung, Taiwan1
School of Computer Science and Technology and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, China1
School of Software Engineering, Jinling Institute of Technology, Nanjing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100196, China1
Università degli Studi di Cagliari, Italy1
Graduate Institute of Networking and Multimedia, National Taiwan University1
VLSI Design and Education Center (VDEC), The University of Tokyo1
Electronics and Communication Engineering Department of S.K.P. Engineering College, Thiruvannamalai, Tamilnadu, INDIA1
Electronics and Communication Engineering Department of Institute of Road and Transport Technology, Erode, Tamilnadu 638316, INDIA1
Shanghai University, China1
Politics and Enterprise Buisiness Department, Bingosoft Co. Ltd, Guangzhou, China1
Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands1
Department of Computer Science, Middlesex University, London, UK1
Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA1
Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
School of Computer Science and Engineering, Shandong Normal University, Jinan, China1
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China1
School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, P.R. China1
Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, 210096, P.R. China1
Department of Electrical Engineering, National University of Computer and Emerging Sciences, Pakistan1
Department of Electrical and Electronics Engineering, University of Sheffield, UK1
Institute of Computing Technology, Chinese Academy of Science, Beijing, China1
Institute of Computing Technology, CAS & University of Chinese Academy of Sciences1
National Taichung University of science and Technology, Taichung1
Institute of Optics and Electronics, Chinese Academy of Science1
Institute of Optics and Electronics, Chinese Academy of Science, University of Chinese Academy of Sciences1
Institute of Optics and Electronics, Chinese Academy of Science, University of Electronic Science and Technology of China, University of Chinese Academy of Sciences1
IRSEEM1
Graph@FIT, Brno University of Technology, Brno, Czech Republic1
College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, China1
Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China1
Hubei University, Wuhan, China1
Kumamoto University, Kumamoto, Japan1
Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, CASIA, Beijing, China1
Software System Research Department, China Electronics Technology Group Corporation No. 38 Research Institute, Hefei, China1
Department of Electrical and Computer Engineering, University of Missouri, Columbia, USA1
Laboratory of Precision Opto-Mechatronics Technology, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing, China1
Morpho, Safran Group and Télécom ParisTech, CNRS LTCI and Université Pierre et Marie Curie, LIP61
Morpho, Safran Group and Ecole pour l'Informatique et les Techniques Avancées (EPITA)1
Speech, Audio, Image, and Video Technology Laboratory, Queensland University of Technology , Brisbane, Australia1
Speech, Audio, Image, and Video Technology Laboratory, Queensland University of Technology, Brisbane, Australia1
Commonwealth Scientific and Industrial Research Organization, Pullenvale, Australia1
Department of Psychology, University of Pittsburgh, Pittsburgh, PA , USA1
Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA1
Key Laboratory of Intelligent Processing, Institute of Computing Technology, CAS, Chinese Academy of Sciences (CAS), Beijing, People’s Republic of China1
Visiting Faculty, CVIT, IIIT Hyderabad, India1
School of EECS, Queen Mary University of London, London, UK1
Department of Electrical and Computer Engineering, Texas A&M University, College Station, USA1
School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China1
Institute of Communication and Computer Systems, Athens, Greece1
Technical University of Crete, Chania Crete1
Disney Research, Zürich, Switzerland1
Autonomous Systems Lab, ETH Zürich, Zürich, Switzerland1
Chinese Academy of Sciences, Xi’an Institute of Optics and Precision Mechanics, Xi’an, China1
Department of Computer Engineering, Air Force Academy, Istanbul, Turkey1
CSE, SUNY at Buffalo, USA and Southeast University, China1
Vehicle Engineering Development Div., Toyota Motor Corporation, Japan1
Collaborative Safety Research Center, Toyota Motor Engineering & Manufacturing North America Inc., USA1
Knowledge Enterprise Development, Arizona State University, Tempe, 85287-5406 United States1
Computer Science, Florida State University, Tallahassee, United States1
Computing Informatics and Decision Systems Engineering, Arizona State University, Tempe, United States1
Department of Computer Science, University of Texas at San Antonio, San Antonio, USA1
Eedoo Inc, Beijing, China1
Oak Ridge National Laboratory, Tennessee, USA1
School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300811
School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300811
Department of Telecommunication, AGH University of Science and Technology, Kraków, Poland1
Department of EEE, Xi’an Jiaotong-Liverpool University, Jiangsu, China1
The College of Information Engineering, Xiangtan University, Hunan, China1
Res. Center for Learning Sci., Southeast Univ., Jiangsu, China1
Department of Cognitive Systems, University of Tübingen, Germany, 720761
The State Key Laboratory of High Performance Computing (HPCL), National University of Defense Technology, Changsha, China, 4100731
Department of Electrical Engineering, PEC University of Technology, Chandigarh-160012, India1
Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USA1
School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Korea1
School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Northfields Avenue, Wollongong, NSW 2522, AUSTRALIA. email: fhct243@uow.edu.au1
Faculty of Information Technology, VUT — Brno University of Technology, Brno, Czech Republic1
IBM T. J. Watson Research Center1
Department of Control Engineering, Istanbul Technical University, Turkey1
School of Computer Science and Technology, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China1
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Facebook, Menlo Park, USA1
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3OmniVision Technologies Singapore Pte. Ltd., Singapore1
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Huawei Technologies Co. Ltd, Shenzhen, China, 5180001
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Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing, China1
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Hyundai Motor bldg., Hyundai Mnsoft, Seoul, 04365, Korea1
School of Electronics and Computer Science, University of Southampton, UK. jnc@ecs.soton.ac.uk1
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Enerji Sistemleri Müh. Bölümü Teknoloji Fakültesi, Firat Üniversitesi Elaziğ, Türkiye1
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Shenzhen Key Laboratory of Media Security, Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security , Shenzhen and Guilin, China1
Cogvis GmbH, Wiedner Hauptstrasse 17/3a, A-1040 Vienna1
Computer Vision Lab, Vienna University of Technology, Favoritenstr. 9/183-2, A-1040 Vienna1
Ecole Centrale de Lyon, LTDS UMR5513, F-69134, France1
Ecole Centrale de Lyon, ICJ UMR5208, F-69134, France1
Faculty of School of Electrical and Electronic Engineering, Nanyang Technological University, 50, Singapore1
Schoool of Electrical and Electronic Engineering, Nanyang Technological University, 50, Singapore1
Institute of Computing Technology, CAS, No.6 Kexueyuan South Road, Beijing, 100080, China1
Department of Computer Science, UNC-Charlotte, Charlotte, USA1
School of Information and Technology, Northwest University of China, Xi’an, China1
College of Metropolitan Transportation, Beijing University of Technology, Beijing, China1
Institute of Computing Technology, Chinese Academy of Sciences, Key Laboratory of Intelligent Information Processing, Beijing, China1
University of Gabes National Engineering School of Gabes, Tunisia1
Automatic Control and Systems Eng. Dept., University of Malaga, Superior Technical, Málaga, Spain1
Engineering Dept., E. Ada Byron, Univ of Zaragoza, Computer & Systems, Zaragoza, Spain1
Instituto Superior Tecnico - Torre Norte, University of Lisboa, Lisboa, Portugal1
Electrical and Computer Engineering Dept, University of Porto, Porto, Portugal1
Info Syst Dept;Campus de Azurém, University of Minho, Guimarães, Portugal1
Department of Material Handling and Logistics Systems, Budapest University of Technology, -Budapest, Hungary1
MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, -Budapest, Hungary1
College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China1
College of Information Science and Technology, Hainan University, Haikou, China1
State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, China1
University Iuav of Venice, Venezia, Italy1
Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC1
College of Computer and Information Sciences, Chongqing Normal University, Chongqing, China1
Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China1
Department of Computer Science, Chongqing University of Posts and Telecommunications, Chongqing, China1
Institute of Deep Learning, Baidu, Inc., Beijing, 100085, China1
School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India1
Dep. of Mathematics - University of Milan Via Saldini 50, I-20133 Milan - Italy1
Department of Electrical and Computer Engineering, Ryerson University, Toronto , Canada1
Indraprastha Institute of Information Technology Delhi, New Delhi 1100201
Sensing and Control Technology Laboratory, Omron Corporation, Kyoto 619-0283, Japan1
Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong1
Universitat De Girona (UDG), Spain1
Samsung Bangladesh R & D Center Ltd, Dhaka, Bangladesh1
Department of CSE, Prime University, Dhaka, Bangladesh1
Department of CIT, Islamic University of Technology, Gazipur, Bangladesh1
Alexandria High Institute for Engineering & Technology, Egypt1
Department of Mechanical Engineering, National Institute of Technology, Karnataka, Surathkal1
College of Science and Information, Qingdao Agricultural University, Qingdao, China1
Chinese University of Hong Kong1
Department of Electrical Engineering, Afeka, Tel Aviv Academic College of Engineering, Tel Aviv, Israel1
Biomedical Engineering Research Group, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa1
DiCo, Università di Milano, Italy1
Istituto Chiossone, Italy1
Faculty of Mechanical Engineering Department and HRI Research Center, KAIST, Deajeon, Republic of Korea1
Mechanical Engineering Department and HRI Research Center, KAIST, Deajeon, Republic of Korea1
Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA1
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA1
Department of Computer Science and Engineering, SUNY Buffalo, NY, USA1
Department of Information System Service, Swiss German University, Tangerang, Indonesia1
Department of Computer Science, Pakuan University, Bogor, Indonesia1
Shanghai Research Institute of China Telecom. Corporation Limited1
Clayton School of Information Technology, Monash University, Melbourne, Australia. Email: damminda.alahakoon@infotech.monash.edu.au1
Clayton School of Information Technology, Monash University, Melbourne, Australia. Email: jeewanee.bamunusinghe@infotech.monash.edu.au1
School of Computer, Beijing Institute of Technology, Beijing, China1
Department of Computer Science and Technology, Nanjing Forestry University and Shandong University, Jinan, China1
Department of Language Studies, Nanjing Forestry University, Nanjing, China1
Department of Computer Science and Technology, Nanjing Forestry University, Nanjing, China1
The University of Manchester, Manchester, United Kingdom1
Nanjing Normal University & Nanjing University, Nanjing, China1
School of Information Engineering, Jiangxi Manufacturing Technology College, Nanchang, China1
School of Information Science and Engineering, Chengdu University, Chengdu, China1
School of Computer, Electronics and Information, Guangxi University, Guangxi, China1
Dept. of CIT, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh1
Dept. of Industrial and Management Engineering, Hankuk University of Foreign Studies, Yongin, Korea1
Siemens AG, Munich, Germany1
MITI, Klinikum rechts der Isar, Technische Universität München, Munich, Germany1
Aoki Media Sensing Lab, Keio University, Tokyo, Japan1
CVLAB, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
VGG, University of Oxford, Oxford, UK1
Computer Aided Medical Procedures, Technische Universität München, Munich, Germany1
Center for Signal and Image Processing, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta1
Department of Information and Computer Science, Aalto University, Finland1
Department of the Computer Science and Technology, Tsinghua University, China1
ICSI, UC Berkeley, Berkeley, USA1
Willow Garage, Inc., 68 Willow Road, Menlo Park, CA 94025, USA1
Itseez, Korolenko 19b, Nizhny Novgorod, Russia1
Institute of Computer Science, University of Tartu, Tartu, Estonia1
LIGM (UMR 8049), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France1
Navier (UMR 8205), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France1
School of Computer Science, The University of Notthingham, Nottingham, U.K.1
College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China1
University of Canberra and Australian National University, Canberra, Australia1
Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy1
Faculty of Information Technology, Czech Technical University in Prague, Prague 6, Czech Republic1
Helsinki Institute for Information Technology HIIT, University of Helsinki, Helsinki, Finland1
University of A Coruna, Corunna, Spain1
Intelligent Systems Lab Amsterdam, Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands1
University of Trento , Povo - Trento, Italy1
Università Ca’ Foscari Venezia, Venezia Mestre, Italy1
Universidad de Alicante, Spain1
School of Computer Science, The University of Manchester, Manchester, UK1
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, People’s Republic of China1
Department of Automation, University of Science and Technology of China, Hefei, People’s Republic of China1
PRISME Institute, ENSI de Bourges - University of Orléans, 88 Boulevard Lahitolle, 18020 BOURGES, France1
Jiangxi University of Finance and Economics, China1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xfwang@ustc.edu.cn1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xuejia@mail.ustc.edu.cn1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. sfwang@ustc.edu.cn1
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom1
PSYEC, India1
TCE, India1
Vickramce, MDU, India1
State Key Laboratory of CAD & CG, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province 310058, China1
ICTEAM-ELEN, Université catholique de Louvain, Louvain-La-Neuve, Belgium1
Department of Electronic Systems, Aalborg University Copenhagen, Denmark1
Department of Mathematics and Computer Science, Ecole Centrale de Lyon, CNRS, 69134, France1
Department of Electrical Engineering, College of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
Department of Electrical Engineering and Computer Science, Shibaura Institute of Technology Graduate School of Engineering and Science, Tokyo, Japan1
State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China1
School of Computer Science and Information Systems, Birkbeck College, University of London, WC1E 7HX, U.K.1
Biometrics Research Centre, Hong Kong Polytechnic University, Hung Hom, Kowloon, China1
Nagaoka University of Technology, Nagaoka, Niigata 940-2188, Japan1
Department of Applied Physics, Eindhoven University of Technology, The Netherlands1
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences1
Department of Computer and Information Science, Hunan University of Science and Engineering, Yongzhou, Hunan China, 4250061
School of Computer and Science Technology, Tianjin University, Tianjin, China1
School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China1
Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, China1
The Johns Hopkins University, Baltimore, USA1
School of Computer Science and Software Engineering, The University of Western Australia, Perth, WA, Australia1
School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia1
Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy1
Snapchat Research, Venice, CA902911
Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA1
Security area everis Aerospace, Defense Security, Madrid, Spain1
Beauty Cosmetic Research Lab, Kao Corporation, Tokyo, Japan1
Department of Electrical and Computer Engineering, University of Miami, FL, USA1
Department of CS, University of Texas at San Antonio, 78249, USA1
Department of CSE, University at Buffalo (SUNY), NY 14260, USA1
University of Waterloo1
Faculty of Electrical Engineering, University of Ljubljana, EU, Slovenia1
Barcelona School of Telecommunications Engineering, Universitat Politcnica de Catalunya, EU, Spain1
National Institute of Technical Teachers' Training & Research, Kolkata, Salt Lake, Kolkata-700106, India1
Department of Computer Science, Texas State University, San Marcos TX, 78666-4616, USA1
Department of CSIS, Birla Institute of Technology and Science, Pilani, Pilani-333031, Rajasthan, India1
Dept. of Electrical and Electronic Eng., The University of Tokushima, Japan1
Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany1
IRISA, Campus Universitaire de Beaulieu, Rennes, France1
Graduate School of Medicine, Osaka University, Osaka, Japan1
Graduate School of Engineering,, University of Tokyo, Tokyo, Japan1
Information and Communications Headquarters,, Nagoya University, Nagoya, Japan1
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia. slobodan.ribaric@fer.hr1
Iowa State University, Ames, IA, USA1
Department of Information Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502 Japan1
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan. byliao@cc.kuas.edu.tw1
Visual Information Analysis and Processing Research Center Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China. zhemingl@yahoo.com1
Department of Electronic Engineering, National Kaohsiung, University of Applied Sciences, Kaohsiung, Taiwan. jspan@cc.kuas.edu.tw1
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China. junbaolihit@hotmail.com1
GRIFT Research Group, CRISTAL Laboratory, Ecole Nationale des Sciences de l’Informatique (ENSI), La Manouba University, La Manouba, Tunisia1
Department of Computer Science and Information Engineering, Ching-Yun University, Taiwan1
Department of Computer Engineering and Science of Yuan-Ze University, Taiwan1
College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China1
College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, China1
Department of Applied Mathematics, Yuncheng University, Yuncheng, China1
IBM Almaden Research Center, San Jose, CA, USA1
Department of Computer Science, University of Freiburg, Freiburg, Germany1
Politeknik Elektronika Negeri Surabaya, Indonesia1
REGIM: REsearch Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), Sfax, Tunisia1
Dept. of Formative Sciences and Psychology, University of Firenze - Italy1
Department of Computer Science, Stevens Institute of Technology, Hoboken, USA1
School of IoT Engineering, Jiangnan University, Wuxi, China1
School of Computer Engineering, Jiangsu University of Technology, Changzhou, China1
Dept. of Software and Computer Engineering, Ajou University, Suwon, South Korea1
Department of Electrical and Electronics Engineering, Anna University of Technology, Coimbatore, India1
Beijing Institute of Technology, School of Information and Electronics, Beijing, China1
ChongQing YuBei Experimental Primary School, Chongqing, China1
ChongQing College of Electronic Engineering, Chongqing, China1
Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong1
Department of Computer Engineering, Bogazici University, Bebek, Istanbul, Turkey1
Department of Computer Engineering, Istanbul University, Avcilar, Istanbul, Turkey1
Department of Computer Engineering, Bahcesehir University, Besiktas, Istanbul, Turkey1
School of Electronic and Information Engineering, Foshan University, Foshan, China1
Tulane University, USA1
Institute of Communications Engineering, National Tsing Hua University, Taiwan, R.O.C1
Chinese Academy of Sciences and Anhui Province Key Laboratory of Intelligent connected technology, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China1
Intel Labs Pittsburgh, Carnegie Mellon1
University of Central, Florida1
Malaysian Institue of Industrial Technology, Universiti Kuala Lumpur, Johor1
Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur1
LEAR Team, INRIA Grenoble, Montbonnot, France1
Inteligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, The Netherlands1
CIEM-CONICET, FaMAF, Universidad Nacional de Córdoba, Córdoba, Argentina1
School of Nursing and Health Professions at Georgia State University, Atlanta, GA 30302, USA1
Department of Mechatronics Engineering, International Islamic University, Kuala Lumpur, Malaysia1
The faculty of the School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
The Division of Future Vehicle, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
UMass Dartmouth, Dartmouth, MA, USA1
HTC Research, Beijing, China1
QCIS, University of Technology, Sydney, Australia1
IIIS, Tsinghua University, Beijing, China1
Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China1
Shenzhen Academy of Robotics, Shenzhen, Guangdong, 518057, China1
School of Computer Science and Technology, Shandong University, Shandong, China1
AGH University of Science and Technology, Adama Mickiewicza, Krakow, Poland1
Interuniversity Microelectronics Centre, Heverlee, Belgium1
NPU-VUB Joint AVSP Lab, Department ETRO, Vrije Universiteit Brussel (VUB), Brussels, Belgium1
Shaanxi Key Laboratory on Speech and Image Information Processing, Xi’an, China1
NPU-VUB Joint AVSP Lab, School of Computer Science, Northwestern Polytechnical University (NPU), Xi’an, China1
Image processing center, Beihang University, Beijng, China1
Raytheon Missile Systems, Tucson, USA1
Facebook Inc., Palo Alto, CA, USA1
Research Institute of Computer Science and Technology, Ningbo University, Ningbo, China1
School of Software Technology, Dalian University of Technology1
Department of Multimedia, Sungkyul University, Korea1
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, Beijing, China1
National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences(CAS), Beijing, China1
Centre for Image Processing and Pattern Recognition, Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India1
National Key Laboratory for Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, China1
National and Local Joint Engineering Laboratory of Internet Application Technology on Mine, Xuzhou, China1
Internet of Things Perception Mine Research Center, China University of Mining and Technology, Xuzhou, China1
Dept. of Electrical and Computer Engineering, University of Calgary, AB, Canada1
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA1
Department of Electrical and Computer Engineering & CyLab, Carnegie Mellon University, Pittsburgh, PA1
Kakao Brain, Seongnam, South Korea1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL.1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL. Email: P.P.Kuo@ed.ac.uk1
University of North Carolina at Wilmington, USA1
UNCW, USA1
Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA1
INRIA - Willow Project, Laboratoire d´Informatique, École Normale Supérieure, France1
Image Processing Laboratory, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran1
Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran1
Faculty of Electronics, Wrocław University of Science and Technology, 50 370 Wrocław, Wyb. Wyspianskiego 27, Poland1
Multi-Modal Biometrics Lab, Institute for Infocomm Research, Republic of Singapore. wyyau@i2r.a-star.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Republic of Singapore. hw@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Republic of Singapore. nliu@pmail.ntu.edu.sg1
Electronics and Computer Department, Kumamoto Prefectural College of Technology, Japan1
School of Electrical Science and Engineering, National University of Defense Technology, Changsha, China1
Beijing Institute of Tracking and Telecommunications Technology, Beijing, China1
Department of Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK1
Sun Yat-Sen University, Guangzhou, Singapore1
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 1196131
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613. jgwang@i2r.a-star.edu.sg1
University of East Anglia, Norwich, United Kingdom1
Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, Australia1
Washington University, School of Medicine St. Louis, MO, USA1
Johns Hopkins Hospital, Baltimore, MD, USA1
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China1
School of Computer Science and Technology, Nanjing University of Science of Science and Technology, Nanjing, China1
Ocean System Engineering Research Division, Korea Research Institute of Ships and Ocean Engineering (KRISO), Daejeon, Republic of Korea1
Urban Robotics Lab., Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea1
Sichuan University West China Hospital of Stomatology, Chengdu, China1
School of Software Engineering, Chengdu University of Information Technology, Chengdu, China1
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China1
University of Electronic Science and Technology of China, Chendu, China1
College of Computer Science, Guangdong University of Petrochemical Technology, Maoming, China1
Computer Science and Artificial Intelligence, MIT, Cambridge, MA1
Autonomous System Laboratory, ICT Centre, Commonwealth Scientific and Industrial Research Organisation, Pullenvale, Australia1
ETH Zurich, Switzerland and KU Leuven, Belgium1
Università di Firenze, Firenze, Italy1
TELECOM Lille1/LIFL, Villeneuve d'Ascq, France1
Università di Modena e Reggio Emilia, Modena, Italy1
University of Glasgow, Glasgow, United Kingdom1
MIT, Media Lab,, MA, USA1
Imperial College London , London, United Kingdom1
Microsoft Research, USA1
Aix Marseille Univ, CNRS, LIF, Marseille, France1
Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China1
Information& Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China1
Carnegie Mellon University and INRIA/Ecole Normale Supérieure, Paris1
INRIA/Ecole Normale Supérieure, Paris1
Institute of Advanced Translational Medicine & School of Software Engineering Tongji University, Shanghai 201804, China1
Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Center for Brain-Inspired Computing Research, Tsinghua University, Beijing, China1
Department of Computer Science, Nanjing University of Science and Technology, Nanjing, China1
Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China1
Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China1
Department of Electrical and Electronic Engineering, University of Cagliari, Italy1
Department of Computer Engineering, Istanbul University, Istanbul, Turkey1
Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey1
Electrical Engineering, Faculty of Engineering Chiang Mai University, Chiang Mai, Thailand1
Biomedical Engineering Centre, Chiang Mai University, Chiang Mai, Thailand1
Centre for Smart Grid and Information Convergence, XJTLU, Suzhou, People’s Republic of China1
Xi’an Jiaotong-Liverpool University, Suzhou, People’s Republic of China1
Database/Bioinformatics Laboratory, College of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea1
Department of Data Platform, Ping An Technology (ShenZhen) Company Limited, Pudong New Area, People’s Republic of China1
College of Information Engineering, Shanghai Maritime University, Shanghai, People’s Republic of China1
Institute of Electronics, Chinese Academy of Sciences1
Institute of Computer Science and Technology, Peking university, Beijing, China1
Computing Technology, Chinese Academy of Sciences, Beijing, China1
Department of Information Engineering, The Chinese University of Hong Kong, Shatin1
Department of Applied Optics and Photonics, University of Calcutta, Kolkata, India1
Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, India1
Department of Computing, Hong Kong Polytechnic University, Hong Kong1
Sapienza University of Rome, Via Salaria 113, 00198, Rome, Italy1
Shenzhen Polytechnic, Shenzhen, P. R. China1
School of Rail Transportation, Soochow University, Suzhou, China1
Department of Computer Engineering and IT, Amirkabir University of Technology, Tehran, Iran1
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran1
China Key System & Integrated Circuit Co. Ltd1
MICA International Research Institute (HUST - CNRS/UMI2954 - Grenoble INP), Hanoi University of Science and Technology, Vietnam1
FX Palo Alto Laboratory1
Azure Storage, Microsoft, Seattle, WA, USA1
Queen Mary University of London, United Kingdom1
Yamaha Motor Co., Ltd., Japan1
Chair of Computer Vision, Institute of Computer Science, Friedrich-Schiller-University, Jena, Germany1
École Normale Supérieure / PSL Research University, Paris, France1
Xi’an Jiaotong University, Xi’an, People’s Republic of China1
Department of Psychology, National University of Singapore, Singapore1
Department of Psychology, Southern Utah University, Cedar City, UT1
Marcus Autism Center, Children's Healthcare of Atlanta & Emory University School of Medicine, 1920 Briarcliff Rd NE, Atlanta, GA 30329, United States1
Imperial College London / University of Twente, SW7 2AZ, UK / Enschede, 7500 AE, NL, UK1
Queen Mary, University of London, Mile End Rd, London, E1 4NS, UK1
Mepco Schlenk Engineering College, Sivakasi, India1
Department:ECE, Mepco Schlenk Engineering College, Sivakasi, India1
ECE, Mepco Schlenk Engineering College, Sivakasi, India1
Institut de Robòtica i Informàtica Industrial, C. Llorens i Artigas 4-6, 08028, Barcelona, Spain1
Astellas Research Institute of America, IL, USA1
Tianjin Key Lab of Cognition Computing and Applications, Tianjin University, Tianjin, China1
Department of Computer Science and Technology, College of Computer, National University of Defense Technology, Changsha, Hunan, China, 4100731
Corresponding Author B, Wayne State University, Detroit, Michigan, USA1
THALES Services - 91767 Palaiseau, France1
I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France1
Institut Universitaire de France (IUF), Paris, France1
Université de Toulon, La Garde, France1
Aix-Marseille Université, Marseille, France1
Department of Computer Engineering, Chiang Mai University1
Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China1
Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China1
Complex Lab, University of Electronic Science and Technology of China, Chengdu, China1
Technische Universität München / Imperial College London, Munich / London, England UK1
University of Geneva, Geneva, Switzerland1
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning Province, China. linhui_signal_dip@hotmail.com1
ISTC-Pervasive Computing Intel Labs, Seattle, WA 98115, USA1
Volvo Car Corporation, SE-405 31 Göteborg, Sweden1
Smart Eye AB, SE-413 27 Göteborg, Sweden1
Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE1
School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile end Campus, UK, E14NS1
Department of Computer Science, University of Paderborn, Pohlweg 47-49, 33098 Paderborn, Germany1
Department of Informatics, University of Oslo, P.O. Box 1080 Blindern, 0316 Oslo, Norway1
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology(ICT), Beijing, China1
The 3rd Research Institute of Ministry of Public Security, Yueyang Road, Shanghai, P.R. China1
Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, 415 Fengyang Road, Shanghai, P.R. China1
School of Economics and Management, Tongji University, Siping Road, Shanghai, P.R. China1
Centre for Development of Advance Computing IIPC-Building, NIT Silchar Campus Silchar, India1
School of Big Data & Software Engineering, Chongqing University, Chongqing, China1
Group of Research in Images Synthesis, Intelligence Artificial Laboratory, University Paris 8,  1
Institute for Information technology National research Council of Canada Moncton NB Canada E1A 7R11
King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia1
School of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia1
Key Laboratory of Trusted Cloud Computing and Big Data Analysis, Nanjing Xiaozhuang University, Nanjing, China1
Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, 69134, France1
Department of Computer Science University Malaysia Terengganu, Terengganu, Malaysia1
School of Computer Science, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia1
Eindhoven University of Technology, P.O. Box 513, 5600 MB, NL1
ViNotion BV, P.O. Box 2346, 5600 CH, Eindhoven, NL1
Core Technology Center, Omron Corporation, Kyoto, Japan1
Department of Electrical and Computer Engineering, University of Maryland, College Park, MD1
Raytheon BBN Technologies, 10 Moulton St, Cambridge, MA1
General Electric Global Research, 1 Research Circle, Niskayuna, NY1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. lpreis@fe.up.pt1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. eduardo.valgode@gmail.com1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. rbraga@pucrs.br1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. pmf@fe.up.pt1
DISI-Alma Mater Studiorum, Università di Bologna, Bologna, Italy1
Department of Electronic Devices, Circuits, and Architectures, Faculty of Electronics, Telecommunication and Information Technology, University “Politehnica” of Bucharest, Romania1
Beijing University of Posts and Telecommunications/The University of Western Ontario1
Shenzhen Sunwin Intelligent Corporation, Shenzhen, China1
School of Computer Science and Information System, Pace University, New York USA1
School of Computer Science and Information Systems, Pace University, New York, USA1
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China1
Amazon Research, Berlin, Germany1
School of Computer Science and Engineering, Nanyang Technological University, Nanyang Avenue, Singapore1
Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India1
IKERBASQUE, Basque Foundation for Science, and the University of the Basque Country, San Sebastian, Spain1
Computer Vision Center, Edifici “O” - Campus UAB, 08193 Bellaterra (Barcelona), Spain1
Siemens Biometrics Center, Siemens IT Solutions and Services, Strassgangerstrasse 315, 8054 Graz, Austria1
Neusoft Corporation, Shenyang 110179, China1
University of California, San Diego, La Jolla, USA1
SET Media Inc, San Francisco, USA1
Walmart Labs, Bengaluru, India1
Cisco Systems Inc., Bengaluru, India1
Computer Science and Systems Engineering Department, Engineering Research Institute of Aragon (I3A), University of Zaragoza, Zaragoza, Spain1
Multimedia Technologies Division, Aragon Institute of Technology, Zaragoza, Spain1
Honda Research Institute USA, Inc., 400 National Ave, Mountain View, CA 94043, USA1
School of Geodesy and Geometry, Wuhan University, Hubei, China1
Faculty of Information Engineering, China University of Geosciences, Wuhan, China1
School of Electronic and Information Engineering, Sun Yat-sen Univercity, Guangzhou, China1
Department of Psychiatry, University of Minnesota, Minneapolis, USA1
Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA1
Computational Science Center, Brookhaven National Laboratory, Upton, NY, USA1
GE Global Research, San Ramon, CA, USA1
University of Abertay, Dundee, UK1
China University of Geosciences Wuhan, China1
Departamento de Automação, Goiano Federal Institute (IFGoiano), Trindade, Brazil1
Departamento Acadêmico, Federal Institute of Goiás (IFG), Senador Canedo, Brazil1
China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China1
The Faculty of ICT-Mahidol University, Thailand1
School of the Gifted Young, University of Science and Technology of China, Hefei, Anhui, 230026, P.R. China1
National Institute of Standards and Technology1
Department of Computer Science, University of Liverpool, UK1
Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany1
Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany1
School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA1
Dept. of Computer Science, Purdue University1
LM2S Research Unit, Charles Delaunay Institute, University of Technology of Troyes, France1
Shanghai Jitotong University, Shanghai, China1
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China1
INRIA Grenoble, Grenoble, France1
ETH Zurich, Zurich, Switzerland1
Graduate School of Engineering Science, Department of Systems Innovation, Osaka University, Toyonaka, Japan1
Center for Cognitive Ubiquitous Computing, Arizona State University, Tempe, USA1
University of Science and Technology of China, Hefei,Anhui,China1
MIRACL Laboratory, College of Computers and Information Technology, Taif University, KSA1
MIRACL Laboratory, Higher Institute of Management Gabes, Sfax university - Gabes university, Tunisia1
National Engineering Laboratory for Video Technology and the Key Laboratory of Machine Perception (MoE), School of Electrical Engineering and Computer Science, Peking University, Beijing, China1
Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, USA1
College of Information and Technology, Incheon National University, Incheon, Korea1
School of Software Engineering, Beijing Jiaotong University, Beijing, China1
Department of Mechanical Engineering, Covenant University, Ota Ogun State, Nigeria1
Transportation Active Safety Institute (TASI), Indiana University-Purdue University Indianapolis, 46202 USA1
Department of Computer Science, Indiana University-Purdue University Indianapolis, 46202, USA1
Tianjin University & University of South Carolina, Tianjin, China1
Turkcell İletişim Hizmetleri A.Ş., Ankara, Türkiye1
Insititute of Automation, Chinese Academy of Sciences (CAS), Beijing, China1
Intelligent Autonomous Systems Group, Technische Universität München, Garching, Germany1
École Polytechnique Fédérale de Lausanne - CH-1015, Lausanne, Switzerland1
Itseez Incorporated, Nizhny Novgorod, Russia1
Department of Computer Science, Royal Holloway, University of London, Surrey, UK1
State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China1
Hewlett-Packard Laboratories, 1501 Page Mill Road, MS 1203, Palo Alto, CA 94304, USA1
Department of Computer Science and Engineering, Center for Advanced Image and Information Technology, Chonbuk National University, Jeonju, Korea1
Department of Computer Science and Engineering, Chonbuk National University, Jeonju, Korea1
Facebook, Mountain View, USA1
Microsoft, Bellevue, WA, USA1
M5001, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong1
Graz University of Technology, Institute for Computer Graphics and Vision, Inffeldgasse 16/II, 8010 Graz, Austria. pmroth@icg.tu-graz.ac.at1
Department of Psychiatry, Indiana University School of Medicine, Indianapolis, USA1
Toshiba Corporation, Principal Office, Technology Planning Division, 1-1, Shibaura 1-Chome, Minato-ku, Tokyo 105-8001, Japan1
Multi Media laboratory, Toshiba Corporation, 1, Komukai-Toshiba-cho Saiwai-Ku, Kawasaki, Kanagawa Japan1
Computer Science and Information Technology, RMIT University, Melbourne, 3001, Australia1
Integrated Circuits and Electronics Laboratory, Department of Engineering, Aarhus University, Denmark1
College of Computer Science, Nanjing University of Science and Technology, Nanjing, 210094, China1
National Engineering Research Center for Multimedia Software, Computer School, Wuhan University, Wuhan, 430079, China1
University of Arizona1
BIWI, ETH Zurich Zurich, Switzerland1
Department of Information Technology, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India1
Key Lab of Machine Learning and Computational Intelligence, College of Mathematics and Computer Science, Hebei University, Baoding, China1
Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China1
Birmingham City University, Birmingham, UK1
Inst. of Computational Sci., ETH Zurich, Switzerland1
Department of Computer and Information Sciences, University of Alabama at Birmingham, USA1
Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA1
Department of Electrical Engineering, National Chung Hsing University, Taiwan1
Department of Cognitive Science, University of California, San Diego, CA, USA1
Department of Communication Engineering, Shanghai University, Shanghai, China1
Utechzone Co. Ltd., New Taipei City, Taiwan 2351
IHCC Group, RSCS, CECS, Australian National University, Australia1
Vision & Sensing Group, HCC Lab, ESTeM University of Canberra, Australia1
Department of Electrical Engineering, University of Ulsan, 93 Daehak road, Nam-gu, Ulsan 680-749, Korea1
Electrical and Computer Engineering, 450 Clyde Building, Brigham Young University, Provo, UT 84602, USA1
Electrical and Computer Engineering Department at Brigham Young University, USA1
Mechanical Engineering Department at Brigham Young University, USA1
Institute of Systems Science, National University of Singapore, Singapore, Singapore1
Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, Liaoning Province, China. wgq2211@163.com1
Technion, Israel1
IBM Research China, China1
University of Udine, Department of Mathematics and Computer Science, Via delle Scienze 206, 33100 Udine, Italy1
VISIONe lab, University/Industry joint laboratory, via Cjavecis 3, 33100, Udine, Italy1
Faculty of Media Engineering & Technology German University in Cairo, Egypt1
Faculty of Media Engineering and Technology, German University in Cairo, Egypt1
AvidBeam1
Faculty of Media Engineering & Technology, German University in Cairo, Egypt1
Media Laboratory, Huawei Technologies Co., Ltd, Shenzhen, China1
Department of Computer Science, University of Southern California1
Department of Psychology, University of Florence, Italy1
SiliconScapes LLC, USA1
Toshiba, Japan1
Gipsa-lab (Signal and Images Department), 961 rue de la Houille Blanche, BP 46 - 38402 Grenoble, France1
Vesalis company, Parc Technologique de la Pardieu, 10 rue Evariste Galois, 63000 Clermont-Ferrand, France1
University of Palermo, Palermo, Italy1
Institute of Nationality Cultural Information and Technology, Dalian Nationalities University, Dalian, Liaoning Province, China1
UMR 5141, CNRS, Telecom ParisTech, France1
Department of Computer Science, University of Rochester1
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Malaysia1
Department of Electronics & Communication Engineering, Jeppiaar Engineering College, Chennai, TN India1
Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, TN India1
Dalian Key Laboratory of Digital Technology for National Culture, Dalian Minzu University, Dalian, China1
Institute of Systems Science, Northeastern University, Shenyang, China1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. mps04@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. sidnei@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. ccqs03@inf.ufpr.br1
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Computer Science and Engineering Department, Thapar University, Patiala, India1
Academy of Mathematics and Systems Science, Chinese Academy of Science, Institute of Applied Mathematics, Beijing, China1
SINOPEC Petroleum Exploration and Production Research Institute, Beijing 100083, China1
Dept. of Computing, Curtin University, Perth WA, 6102, Australia1
School of Communication and Electronic Engineering, Qingdao Technological University, Qingdao 266033 China1
Dept. of Information Communication Yuan-Ze University, Innovation Center for Big Data and Digital Convergence, Taiwan1
Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan1
CNRS - IRIT, Toulouse, France1
Guangxi University, Electronics and Information, School of Computer1
Faculty of Science and Technology, University of Macau, Macau, 999078, China1
Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany1
Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany1
The University of Edinburgh, Edinburgh, U.K.1
Biometrics and Pattern Recognition Lab, School of Computing, Clemson University, Clemson, USA1
School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen University, Shenzhen, China1
Image Formation and Processing Group, Beckman Institute, University of Illinois Urbana–Champaign, Urbana, IL, USA1
UBTECH Sydney Artificial Intelligence Centre, Faculty of Engineering and Information Technologies, School of Information Technologies, The University of Sydney, Darlington, NSW, Australia1
University of Arizona, Tucson, USA1
Faculty of Medicine, University of British Columbia, Vancouver, Canada1
Laboratoire d'InfoRmatique en Image et Systémes d'information Lyon Central School, University of Lyon, France: 69134 Ecully1
Research Group on Intelligent Machines, University of Sfax, Sfax Engineering School: POB 3038, Tunisia1
Biometric Research Centre, Department of Computing, Hong Kong Polytechnic University, Hong Kong, China1
Department of Social and Decision Sciences, Carnigie Mellon University, Pittsburgh, PA 15224, USA1
VARPA Group, University of A Coruña, A Coruña, Spain1
Information Science Institute, University of Southern California, Los Angeles, USA1
Department of Computer Science and Engineering, Sogang University, Seoul, Korea1
RMIT University, Melbourne, Australia1
Discipline of Business Analytics, The University of Sydney Business School, University of Sydney, Camperdown, NSW, Australia1
Collaborative & Innovative Center for Educational Technology (CICET) Central China Normal University, Wuhan, China1
National Engineering Research, Center for E-Learning, Central China, Normal University, Wuhan, China1
School of Interactive, Computing, Georgia Institute of Technology1
School of Electrical and Computer Engineering, Georgia Institute of Technology1
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Barcelona, Spain1
Graduate School of the Chinese Academy of Sciences, Beijing, China1
Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), China1
Microsoft Live Labs Research, China1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. zhangxiaoxun@bit.edu.cn1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. jiayunde@bit.edu.cn1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. xushuang@bit.edu.cn1
De Montfort University, Leicester, UK, LE1 9BH, +44 (0)116 20784901
Department of Psychology, Emory University, Atlanta, USA1
Division of Psychobiology, Yerkes National Primate Research Center, Emory University, Atlanta, USA1
Center for Behavioral Neuroscience, Atlanta, USA1
Division of Neuroscience, Yerkes National Primate Research Center, Emory University, Atlanta, USA1
Department of Psychology, University of Massachusetts-Amherst, Amherst, USA1
Bio-computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China. E-MAIL: laterfall2@yahoo.com.cn, sun_bin@hit.edu.cn1
Bio-computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China. E-MAIL: laterfall2@yahoo.com.cn1
LSEC and Institute of Applied Mathematics, AMSS, Chinese Academy of Sciences, Beijing, China1
College of Mathematics & Information Science, Wenzhou University, Wenzhou, China1
UMR 5141, LTCI, Telecom ParisTech, France1
Institute of Mathematics of the Romanian Academy, Bucharest, Romania1
Department of Mathematics, Lund University, Lund, Sweden1
School of Mechanical Design and Automation Engineering, Seoul National University of Technology, 139-143, Seoul, Korea1
School of Electrical Eng., ASRI, Seoul National University, 151-600, Seoul, Korea1
Samsung Electronics Co. Ltd., Suwon, Korea1
Graduate Program on Electrical Engineering, Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Graduate Program on Electrical Engineering, University of Passo Fundo, Passo Fundo, Brazil1
Department of Computer Science, The City University of Hong Kong, Hong Kong1
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, 310018, China1
Jaguar Land Rover Research, Coventry, UK1
Institute of Infocomm Research, A-STAR, Singapore1
Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia1
Key Lab of ICSP of Ministry of Education, Anhui University, Hefei, China1
School of Mathematics and Physics, Anhui University of Technology, Maanshan, China1
School of Electronics and Information, Northwestern Polytechnical University, Xian, China1
Department of Computer Science, University of North Carolina, Charlotte, USA1
Department of System Eng. and Computation, State University of Rio de Janeiro, Rio de Janeiro, Brazil1
Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil1
Department of Computer Science, Ryerson University, 245 Church Street, Toronto, Ontario Canada1
Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France1
ICPT and MIPT (SU), Moscow, Russia1
Department of Computer Science, 2500 University of Calgary, Calgary, Canada1
School of Mathematics and Information Technology, Nanjing Xiao Zhuang University, Nanjing, People’s Republic of China1
Univ. Bordeaux, Bordeaux IMS Talence, France1
Univ. La Rochelle, MIA La Rochelle, France1
CNRS, École Centrale de Lyon, University of Lyon, Lyon, France1
Center for Cognitive Ubiquitous Computing (CUbiC), Arizona State University, Tempe, AZ, 852811
Computer Science and Engineering Department, Indian Institute of Technology, Hyderabad, India1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA1
Nagoya Institute of Technology, Showa-ku, Japan1
NICTA Queensland Research Laboratory, Brisbane, Australia1
Imperial College, London, UK1
Science and Technology on Multi-spectral Information Processing Laboratory, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, People’s Republic of China1
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing, People’s Republic of China1
Department of Mathematics and System Science, National University of Defense Technology, Changsha, People’s Republic of China1
Department of Animal Science and Technology, Konkuk University, Seoul, South Korea1
Centre of Excellence for Research in Computational Intelligence and Applications, School of Computer Science, University of Birmingham, Birmingham, U.K.1
Research & Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai, 201804, P.R. China1
Optronic Sensor Systems, Council for Scientific and Industrial Research, Pretoria, South Africa1
Department of Computer Science and Technology, College of Computer, National University of Defense Technology, Changsha, 410073, P.R.China1
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, 410073, P.R.China1
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne1
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IDIAP Research Institute, Martigny and École Polytechnique Fédérale de Lausanne (EPFL), Lausanne1
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne and Electronic Microtechnology (CSEM), Neuchâtel1
Department of Computer Science, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 02792, Korea1
Bilgisayar Mühendisliği Bölümü, İTÜ, Turkey1
Computer Engineering Dept., Bogazici University, Istanbul, Turkey. akarun@boun.edu.tr1
Philips Research, Eindhoven, The Netherlands, berk.gokberk@philips.com1
Computer Engineering Dept., Bogazici University, Istanbul, Turkey. nese.alyuz@boun.edu.tr1
ECE Department, CyLab, Carnegie Mellon, Pittsburgh, USA1
ECSE Department, Rensselaer Polytechnic Institute1
Center for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK1
Advanced Technologies Application Center, Playa, Cuba1
Orange—France Telecom Division R&D—TECH/IRIS, Cesson Sévigné Cedex, France1
Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, MA 01609-2280, USA1
DICGIM, University of Palermo, Palermo, Italy1
Department of Computer Science, Innopolis University, Kazan, Russia1
Center for Telematics and Information Technology, University of Twente, Enschede, Netherlands1
Department of Computer Science, University of Science & Technology, Bannu, Pakistan1
Department of Biomedical Engineering, Kyung Hee University, Suwon, Korea1
Department of Computer Engineering, Kyung Hee University, Suwon, Korea1
Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Korea1
Grupo de Investigación GREC, Universitat Politècnica de Catalunya, Barcelona, España1
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Research Center for Learning Science, Southeast University, China1
School of Computer Science and Engineering, Tianjin University of Technology, China1
AI Institute, Qihoo/360 Company, Beijing, China1
Intelligent Media Technique Research Center, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, P.R. China1
CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, P.R. China1
AI Institute of Qihoo/360 Company, Beijing, P.R. China1
Advanced Engineering Electronics & Safety, Delphi Deutschland GMBH, Delphiplatz 1, Wuppertal, North Rhine-Westfalia, Germany1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China1
Department of Cognitive Sciences, Xiamen University, Fujian Province, 361005, China1
School of Computer Science and Technologym Huazhong University of Science and Technology, China1
Huazhong University of Science and Technology, China, Helwan University, Cairo, Egypt1
Huazhong University of Science and Technology, China, Zagazig University, Zagazig, Egypt1
Inria, Rennes, France1
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, M5S 3GA, Canada1
New Mexico State University, Klipsch School of Electrical Engineering, Las Cruces, NM 880031
University of Greenwich, London, United Kingdom1
Electronic Engineering, College of Engineering, Hanyang University, Seoul, South Korea1
Roche Pharmaceutical Research and Early Development; Neuroscience, Ophthalmology and Rare Diseases, F. Hoffmann-La Roche Ltd., Basel, Switzerland1
Department of Psychological and Brain Sciences, Boston University, Boston, USA1
Department of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou 730020, China1
DAIS, Università Ca’ Foscari, Venice, Italy1
TCS Research, Tata Consultancy Services, New Delhi, India1
Aubiere Cedex, France1
Edith Cowan University: School of Engineering, Joondalup WA 6027, Australia1
Faculty of Natural Sciences, University of Tampere, Tampere, Finland1
LITIS, Universite de Rouen - INSA de Rouen, Rouen, FR1
Department of Computer Engineering, Turgut Özal University, Ankara, Turkey1
Information Strategy Office, Nagoya University, Aichi, Japan1
Australian Centre for Robotic Vision (ACRV), Brisbane, Qld., Australia1
Research School of Engineering, Australian National University, Canberra, Australia1
University of Illinois at Chicago, Chicago, IL1
Mathematics and Computer Science Department, , Grambling State University, Grambling, LA, USA1
Center of Information Development and Management, Hefei University, Hefei 230061, China1
Electronics Engineering Department, National Chiao Tung University, Hsinchu, Taiwan1
Research Center of Robotics and Micro System, Soochow University, Suzhou, China1
Ecole Centrale de Lyon LIRIS Laboratory, CNRS, France1
Department of Psychology, The Ohio State University, USA1
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China1
Department of Computer Engineering and Information and Technology, Amirkabir University of Technology, Tehran, Hafez 424, Iran1
School of Electronics and Information, Northwestern Polytechnical University, Xián, Shaanxi, China1
CDTA, Algeria1
Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Finland1
Department of Computer Science and Engineering, Incheon National University, South Korea1
Department of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Ireland1
Faculty of Physics and Applied Informatics, University of Lodz, Lodz, Poland1
Massachusettes Institute of Technology Media Lab, Cambridge, MA, USA1
Jiangsu Automation Research Institute, Lianyungang, China1
COMSATS Institute of Information Technology, Abbottabad, Pakistan1
In-Q-Tel, Menlo Park, CA USA1
Multimedia Interaction and Understanding Lab, HP Labs, Palo Alto, U.S.A.1
Equipment Development and Application Research Center, Air Force Engineering University, Xi’an, China1
Department of Early Warning Surveillance Intelligence, Air Force Early Warning Academy, Wuhan, China1
Graduate School of Engineering, Mie university, Mie, Japan1
Department of Transportation Engineering, Beijing Institute of Technolgoy, 100081, China1
Instituto de Investigaciones en Ingeniería Eléctrica (IIIE), Universidad Nacional del Sur-CONICET. Av. Alem 1254, Bahía Blanca CP 8000, Argentina1
College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China1
Shenzhen Key Laboratory of High Performance Data Mining, Shenzhen, China1
School of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China1
National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiamen University, Xiamen, People’s Republic of China1
Computer Science Department, School of Information Science and Engineering, Xiamen, University, Xiamen, People’s Republic of China1
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, Fraunhoferstrasse 1, Karlsruhe, Germany1
School of Engineering and Design, Brunel University, London, UK1
School of Computer Science and Communication Engineering, Jiangsu University, Jiangsu, China1
Indian Institute of Technology, Rajasthan, India1
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École d'Ingénieur Généraliste en Informatique et Technologies du Numérique (EFREI), France1
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China1
School of Computer Engineering, The Nanyang Technological University, Singapore1
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, USA1
The Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Computer Science Department, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil1
Virtual Humans Simulation Lab, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil1
Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, U.K.1
Intelligent Robotics Research Center, Korea Electronics Technology Institute, Korea1
Dept. Of Information and Communication Engineering, Dongguk University, Gyeongbuk, Korea1
School of Electronics Engineering, Kyungpook National University, Taegu, Korea1
The Pennsylvania State University, University Park, PA 16802, USA1
Ecole Centrale Paris, Antony, France1
CEA, Gif-sur-Yvettes, France1
CEA & Ecole Centrale Paris, Gif-sur-Yvettes, France1
Institute for Computational and Mathematical Engineering, Stanford University1
Computer Science and Artificial Intelligence Department, University of Alicante, Spain1
School of computer Science and Engineering, Nanjing University of Science and Technology, China1
Digital Media Department, Huawei Software Technologies Co., Ltd. Nanjing, China1
Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR1
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xian 710072, Shaanxi, China1
Dept of Electrical and Computer Engineering, University of South Alabama, AL, USA1
Alcatel-Lucent Bell Labs, Centre de Villarceaux, Nozay, France1
Laboratoire Hubert Curien, UMR CNRS 5516, Université de Lyon, Université Jean Monnet de Saint-Etienne, Saint-Etienne, France1
LE2I Laboratory. Univ. Bourgogne Franche Comté, F21000, Dijon, France1
Computer Laboratory, University of Cambridge, Cambridge, U.K.1
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, Shaanxi, P. R. China1
Applied Network Technology (ANT), Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand1
Department of Business Computer, Faculty of Management Science, Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima, Thailand1
Affectiva1
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Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel1
Intelligent Robotics Research Center Korea Institute of Science and Technology (KIST) Hawolgok-dong 39-1, Sungbuk-ku, Seoul 136-791, Korea dungding@kist.re.kr1
Department of Electrical and Computer Engineering, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY 117941
Department of Computer Science and Engineering, University of Liberal Arts, Bangladesh (ULAB), House No. 56, Road No. 4/A, Satmasjid Road, Dhaka 1209, Bangladesh1
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, P.R. China1
School of Information Science and Technology, Southwest Jiaotong University, Chengdou, P.R. China1
Electronic Telecommunication Division, Ho Chi Minh City University of Industry, Ho Chi Minh City, Vietnam1
Research & Development Department, Broadcast Research and Application Center, Ho Chi Minh City, Vietnam1
Google Research, Mountain View, CA, USA1
IT Department, Faculty of Engineering, University of Mons, Belgium1
Fotonation LTD, Galway, Ireland1
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Google, Inc, Mountain View, USA1
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NEC Laboratories America, Cupertino, USA1
Rutgers University, Piscataway, NJ, USA1
Hefei University of Technology, Chinese Academy of Sciences, & University of Chinese Academy of Sciences, Beijing, China1
Hefei University of Technology, HeFei, China1
Hohai University, No. 1 Xikang Road, Nanjing, Jiangsu Province, China1
Institute of Intelligent Information Processing, Xidian University, Xi'an, China1
Aalto University School of Science1
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Max Planck Institute of Informatics and Saarland University1
Centro de Investigación en Matemáticas (CIMAT A.C.), Guanajuato, Mexico1
Qualcomm, Santa Clara, CA1
UNIADEX, Ltd., Tokyo, Japan1
Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing 100094, P.R. China1
The Testing Center, The Third Research Institute of the Ministry of Public Security, Shanghai, China1
Department of Electrical and Electronics Engineering, Center for Image Analysis (OGAM) Middle East Technical University, Ankara, Turkey1
Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA1
Sapienza Univertsity of Rome1
Fudan University, Shanghai , China1
Redwood Systems, Fremont, CA,USA.1
University of Washington, Seattle, WA, USA.1
Information & Control Engineering, Hankyong National University, Anseong, 456-749, Korea1
Department of Electrical and Computer Engineering Rose-Hulman Institute of Technology Terre Haute, IN 47803 mu@Rose-Hulman.edu1
Rakuten, Inc., Japan1
iRobot Corporation, 10 Greycoat Place, Victoria, London, UK1
INRS-EMT, Montreal, Canada1
Univ. of Sydney, NSW, Australia1
Department of Electrical and Electronic Engineering, The University of Sheffield, Sheffield, U.K.1
Computer Vision Research Group, Orand S.A. Estado 360 of 702, Santiago, Chile1
University Malaysia Perlis, Kangar, Malaysia1
Universidad de Las Palmas de Gran Canaria, Spain1
Purdue University1
Guangdong University of Technology1
University of Macau1
Guangdong University of Technology and City University of Hong Kong1
LIFL, Télécom Lille 1, UMR USTL/CNRS 8022, France1
Department of Computer Science, University of Adelaide, Australia1
Department of Mathematics and Physics, Lappeenranta University of Technology, Lappeenranta, Finland1
Department of Computer and Information Sciences, Temple University, United States of America1
Department of Computer Science, UNC Charlotte, United States of America1
School of Computer Science, Institute for Research in Fundamental Sciences (IPM)1
College of Mathematics & Computer Science, Wuhan Textile University, Wuhan, China1
The Green Building Materials and Manufacturing Engineering Research Center of Ministry of Education, Wuhan University of Technology, Wuhan, China1
Siemens Corporate Research, Plainsboro, USA1
University of Cambridge, Cambridge CB2 1TQ, UK1
Gipsa-lab, Grenoble INP, France1
Vesalis, Clermont Ferrand, France1
CMM, Mines Paristech, Fontainebleau, France1
Computer Application Research Center, Harbin Institute of Technology ShenZhen Graduate School, Shenzhen, China1
Institute of Computing Technology, Chinese Academy of Science, Beijing1
Harbin Institute of Technology ShenZhen Graduate School, Shenzhen, China1
Centre for Artificial Intelligence, School of Software, University of Technology Sydney Ultimo, NSW, Australia1
Zhixing College of HuBei University, Wuhan, China1
Thales Optronics, Glasgow1
Department of Information and Control, B-DAT Laboratory, Nanjing University of Information Science and Technology, Nanjing, China1
School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand1
Honda Research Institute USA, Inc., 425 National Avenue, Mountain View, CA-94043, USA1
ENSTA ParisTech, 828 Blvd des Marchaux, 91762 Palaiseau, France1
Interactive & Digital Media Institute, National University of Singapore, Singapore1
Department of Mechatronic Engineering, Fırat University, Elazığ, Turkey1
Institute of Automation, Chinese Academy of Sciences & Boomhope Information and Technology Co., Ltd, Beijing, China1
University of Trento , Povo - Trento, Italy1
Zhejiang University, Zhejiang, China1
China Electronics Technology Group Corporation, Beijing, China1
Dept. of Computer Science, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Greece1
Dept. of Medical Physics, Medical School, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Greece1
Vicomtech-IK4, San Sebastián, Spain1
Department of Anthropology, University College London, London, UK1
PRISM, Arizona State University, Tempe, USA1
Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. China1
Dermalog Identification Systems GmbH, Hamburg, Germany1
Telecom laboratory, Centre de Développement des Technologies Avancées, Algeria1
Department of Information Technology, SSN College of Engineering Chennai, India1
School of Computer Science and Technology, Wuhan University of Science and Technology, China1
Department of Electrical and Electronic Engineering, Center for Automation Research, UMIACS, College Park, Maryland United States1
SEAS, Harvard University, Cambridge, Massachusetts 02138 United States1
AT&T Labs-Research, Middletown, New Jersey 07748 United States1
Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20742 United States1
Fraunhofer Institute for Telecommunications - Heinrich-Hertz Institute1
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, Shenzhen, ChinaChina1
Mobile Video Networking Technology Research Center, Shenzhen Graduate School, Peking University, Shenzhen, China1
Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France1
Electrical and Computer Engineering Department, Semnan University, Semnan, Iran1
Department of Computer Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
Universidad Rey Juan Carlos, Móstoles, Spain1
School of Computer Science, Universidad Rey Juan Carlos, Móstoles, Spain1
Università di Salerno, Dipartimento di Informatica, Fisciano, Italy1
Department of Electrical and Computer Engineering, The Ohio State University, OH, Columbus, 43210, USA1
School of Science and Technology, Meiji University, Kanagawa, Japan1
Bilgisayar Mühendisliği Bölümü, İstanbul Medeniyet Üniversitesi, Goztepe, Türkiye1
School of International Business Communications, Dongbei University of Finance & Economics, Dalian, China1
Department of Computer Science and Engineering, University of California, Riverside, USA1
UBTECH Sydney Artificial Intelligence Centre and the School of Information Technologies in the Faculty of Engineering and Information Technologies, University of Sydney, Darlington, Australia1
Lenovo Group Ltd, Beijing, China1
Department of Computer Science, Hangzhou Dianzi University, Hangzhou, China1
Department of Creative IT Engineering, POSTECH, Pohang, South Korea, 376731
University of Applied Sciences Jena, Jena, Germany1
Department of Mechanical and Aerospace Engineering, Syracuse University, USA1
Northeastern University, School of Information Science and Engineering, Shenyang, People’s Republic of China1
Dept. of Computing Science and Mathematics, University of Stirling, Stirling, Scotland, UK1
College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China1
Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan1
University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland1
AGV Systems Pvt. Ltd. Mumbai1
Viterbi School of Engineering, University of Southern California, Los Angeles, CA1
Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Eskişehir, Türkiye1
Jet Propulsion Laboratory, California Institute of Technology, USA1
Nanyang Technological University School of Computer Engineering1
Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra, India1
School of Mathematics, Shri Mata Vaishno Devi University, Katra, Jammu, India1
Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India1
Department of Psychology, Neuroscience and Behaviour, McMaster University, 1280 Main Street West, Hamilton, ON, Canada L8S 4K11
University of Oxford, Oxfordshire, United Kingdom1
Google DeepMind1
Five AI, Cambridge, United Kingdom1
Shanghai Film Academy, Shanghai University, Shanghai, China1
Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai, China1
Information Center, Criminal Investigation Department of Shanghai Public Security Bureau, Shanghai, China1
Kodak Alaris, Inc., Rochester, NY, USA1
Department of Electronics and Electrical Engineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, India1
University of Zagreb, Croatia1
Fraunhofer Institute for Computer Graphics Research, Germany1
Electronic Engineering Department, (MicroE), Universidad de Antioquia, Medellin, Colombia1
Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, E.T.S. de Ingenería Informática, Madrid, Spain1
Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain1
Electrical Department National, School of Engineering, Ibn ElJazzar, 5019, Monastir, Tunisia1
Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur, Malaysia1
Ningbo Institute of Technology, Zhejiang University, China1
Universidad Autonoma de Madrid, Madrid, Spain1
Interfaculty Initiative in Information Studies, The University of Tokyo, and JST, PRESTO1
Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan1
Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil1
Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil1
Technology Section, Israel National Police, Jerusalem, Israel1
Department of Electro-Optics Engineering, Ben-Gurion University, Beer Sheva, Israel1
College of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
Graduate School of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
EY AI Lab, Palo Alto, USA1
University of New South Wales, Sydney, Australia1
Macquarie University, Sydney, Australia1
Biomedical Engineering Program, University of Manitoba, Winnipeg, Canada1
Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education, China1
Rutgers, The State University of New Jersey, USA1
University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany1
Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom1
School of Engineering and Advanced Technology, Massey University, Auckland, New Zealand1
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China1
Kyushu Sangyo University, Fukuoka, Japan1
Monash University, Clayton, Australia1
Polytechnic University, Bari, Italy1
University of Minho, Braga, Portugal1
Covenant University, Canaanland, Nigeria1
University of Basilicata, Potenza, Italy1
University of Perugia, Perugia, Italy1
Shenzhen Center for Disease Control and Prevention, Shenzhen, China1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, University of Chinese Academy of Sciences, Beijing, China1
MBRDNA, Sunnyvale, US1
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China1
The State Grid HuBei Information and Telecommunication Company, Wuhan, China1
Key Lab of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
School of Electronic Information Engineering, Tianjin University, 300072, China1
School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, U.K.1
Robotics Institute, Computer Vision Group, Carnegie Mellon University, Pittsburgh, PA1
Department of Computer Science, University of Brasilia, Brasília, Brazil1
Department of Electronics Engineering, University of Brasilia, Brasília, Brazil1
School of Information Science and Technology, Northwest University1
Department Of Space, SRO Satellite Centre (ISAC), Bengaluru, India1
Department of Space, Satish Dhawan Space Centre SHAR, ISRO, Sriharikota, India1
Department of Neurocognition, Maastricht University, Maastricht, The Netherlands1
Department of Psychonomics and Psychopharmacology, Utrecht University, Utrecht, The Netherlands1
Department of Child and Adolescent Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands1
Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki City, Japan1
School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China1
University of the Basque Country UPV/EHU, San Sebastian, Spain1
Computer Vision Center, Edifici “O”, Campus UAB, Bellaterra, Spain1
College of Computer Science, Dalian University of Technology, Dalian, China1
University of Antwerp, Wilrijk, Belgium1
CSIRO ICT Centre, Sydney, Australia1
Telecommunications and Information processing (TELIN), Ghent University, Ghent, Belgium1
DGA, Bagneux, France1
Universit´a di Salerno, 84084 Fisciano1
Department of Computer Science, University of Texas at San Antonio, TX, USA. qitian@cs.utsa.edu1
Hewlett-Packard Laboratories, Palo Alto, CA, USA. tong.zhang@hp.com1
Department of Computer Science, University of Texas at San Antonio, TX, USA. lyijuan@cs.utsa.edu1
Université des Antilles et de la Guyane (UAG), France1
Institut des Systèmes intelligents et de Robotique, UPMC, France1
Military College of Signals. Rawalpindi, Pakistan1
Chinese Academy of Sciences, Beijing, China, Harbin Institute of Technology, Harbin, China and Graduate School of the Chinese Academy of Sciences, Beijing, China1
Chinese Academy of Sciences, Beijing, China and Harbin Institute of Technology, Harbin, China1
Chinese Academy of Sciences, Beijing, China and Graduate School of the Chinese Academy of Sciences, Beijing, China1
Faculty of Information Technology, Brno University of Technology, Czech republic1
Xiamen University of Technology, Fujian, China1
Division of Electrical Engineering, Hanyang University, Ansan, South Korea1
School of Computing and Communication, University of Technology, Sydney, Australia1
Graduate School of Advanced Imaging Science. Multimedia & Film Chung-Ang University Seoul, Korea1
Department of Electrical Engineering, Imperial College, London, UK1
Department of Electrical-Mechanical Manufacturing Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand1
School of Engineering, University of California, Merced, CA1
Institute of Image Processing and Pattern Recognition, Xi’an Jiaotong University, Xi’an, Shaanxi, China1
Department of Software Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China1
Department of Mathematical Sciences, Georgia Southern University, Statesboro, USA1
Signal and Information Processing section (SIP), Department of Electronic Systems, Aalborg University, Denmark1
Section of Image Analysis and Computer Graphics, DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark1
Chinese Academy of Sciences, Shaanxi, P. R. China1
University of Sydney, NSW, Australia1
Chinese University of Hong Kong, Hong Kong1
Department of Computer System and Communication, Faculty of Information and Communication, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia1
Division Télécom, Centre de Développement des Technologies Avancées - CDTA, Algiers, Algeria1
Mechanical and Systems Research Laboratories, Institute of Industrial Technology Research, Hsinchu, Taiwan 310, China1
The Norwegian Color and Visual Computing Laboratory, Gjøvik University College, P.O. Box 191, N-2802, Norway1
Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital of Nanfang Medical University, 3012 Fuqiang Rd, Shenzhen, P.R. China1
Department of Electronic EngineeringCentre for Vision, Speech and Signal Processing, University of Surrey, Surrey, U.K.1
Department of Electrical EngineeringFaculty of Engineering, Urmia University, Urmia, Iran1
the Crash Safety Research Center, LLC, East Hampton, CT, USA1
University of Wisconsin-Madison, WI1
School of Computing Science, Northwestern Polytechnical University, Xi’an, China1
UPSud/INRIA Université Paris-Saclay, Saint-Aubin, France1
Instituto Nacional de Astrofísica, Puebla, Mexico1
Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France1
Department of Cognitive Science, School of Information Science and Engineering, Xiamen University, Xiamen, China1
School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, China1
Deparment of Computing, Goldsmiths, University of London, London, UK1
Graduate School of Engineering Science, Osaka University, Toyonaka, Japan1
Department of Statistics and Computer Science, University of Peradeniya, Sri Lanka1
Postgraduate Institute of Science, University of Peradeniya, Sri Lanka1
Department of Information Technology, YCCE, Nagpur, India1
Michigan State University1
Dept. of Comput. Graphics Technol., Purdue Univ., West Lafayette, IN, USA1
Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, People’s Republic of China1
ITK Engineering GmbH, Computer Vision Team, Lollar, Germany1
Department of Mathematics/Computer Science, Philipps-University of Marburg, Marburg, Germany1
IBM T.J. Watson Research Center, Hawthorne, USA1
University of Science Technology, Wuhan, China1
Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia1
University at Qatar, Doha, Qatar1
University of Istanbul, Istanbul, Turkey1
Department of Electronics & Communication Engineering AJ Institute of Engineering & Technology Mangalore, India1
Department of Computer Science & Engineering Vivekananda College of Engineering & Technology Puttur, India1
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China1
LJK–INRIA site, LJK–CNRS, Montbonnot, France1
Department of Electrical and Computer Engineering, University of California Santa Barbara1
Department of Computer Science, University of California Santa Barbara1
Beijing Jiaotong University, Beijing, China and China Three Gorges University, Yichang, Hubei, China1
Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada1
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K.1
faculty of Science and Technology, University of Macau, Macau1
Department of Automation, Automotive Electronics and Embedded System Engineering Research Center, Chongqing University of Posts and Telecommunications, Chongqing, China1
Elec. Engineering and Computer Science, Queen Mary University of London, London, United Kingdom1
Dept. of Computer Science, National University of Singapore, Singapore, Singapore1
Department of Applied Computer Science, University of Winnipeg, Winnipeg, Canada1
Department of Electrical Engineering, University of New Orleans, LA 70148, U.S.A1
Dept. of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kanagawa-ken 223-8522, Japan1
Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kanagawa-ken 223-8522, Japan1
Division of Pediatric Ophthalmology and Adult Strabismus, The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, USA1
Advanced Digital Sciences Center, Connexis North Tower, Singapore1
Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong, China1
L3i Laboratory, La Rochelle University, Rochelle, France1
LITIS Laboratory, Rouen University, Rouen, France1
University of Nottingham, Nottingham, UK1
Department of Computer Science, City University of Hong Kong, Honk Kong, China1
National University of Ireland, Maynooth, Ireland1
LORIA, Villers-lès-Nancy Cedex, France1
Centre de Visió per Computador, Barcelona, Spain1
Computing Science and Mathematics, University of Stirling, Stirling, United Kingdom1
York University, Toronto1
Departamento de Informtica e Matemtica Aplicada/University of Rio Grande do Norte, Natal, Brazil1
Computer Engineering Department, Girne American University, Kyrenia, Cyprus 901
School of Engineering and Digital Arts, University of Kent, Canterbury, U.K.1
Faculty of Computer Science, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico1
Computer Vision Lab, ETH Zürich, Zürich, Switzerland1
Zürich University Hospital1
Münsingen Regional Hospital1
Graduate School of Chinese Academy of Sciences, Beijing, People’s Republic of China1
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, People’s Republic of China1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, People’s Republic of China1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, People’s Republic of China1
Yarmouk University, Jordan1
Department. of Electronics Engineering National Institute of Technical Teachers Training & Research Chennai, India1
Computer Science &Engineering, Sathyabama University, Chennai, India1
University of Washington &Microsoft, Seattle, WA, USA1
Dept. of Civil, Institute for Transportation, Iowa State University1
Biometrics Engineering Research Center, Yonsei University, Seoul, Korea1
Navy Center for Applied Research in AI Naval Research Laboratory, Code 5514 Washington, DC 203751
Dept. of Math & Computer Science Fayetteville State University Fayetteville, NC 283011
Computer Science Dept. University of Maryland College Park, MD 207421
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom dave.marshall@cs.cardiff.ac.uk1
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom paul.rosin@cs.cardiff.ac.uk1
School of Computer Science, University of Bath, Bath BA2 7AY, United Kingdom dpc@cs.bath.ac.uk1
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom l.truong-benedikt@cs.cardiff.ac.uk1
Division of Engineering, New York University, Abu Dhabi, Abu Dhabi, United Arab Emirates1
Department of Information Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong1
Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland1
Centre of Quantum Computation and Intelligent Systems, University of Technology Sydney, Broadway, NSW, Australia1
University of New South Wales, Sydney, NSW, Australia1
University of Adelaide, Adelaide, SA, Australia1
Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xi'an, China1
College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China1
School of Integrated Technology, Yonsei University. Incheon, Korea1
School of Integrated Technology, Yonsei University, Incheon, Korea1
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology Tsinghua University, Beijing, China1
College of Communication Engineering, Chongqing University, Shapingba district, Chongqing, China1
College of Information and Control Engineering, China University of Petroleum, Beijing, China1
Chinese Academy of Science, Institute of Information Engineering, Beijing, China1
Department of Computer Science and Digital Technologies, Northumbria University Newcastle upon Tyne, NE1 8ST, UK1
Department of Electronic and Electrical Engineering, The University of Sheffield Mappin Street, Sheffield, S1 3JD, UK1
Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China1
GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA 19104. jshi@cis.upenn.edu1
GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA 19104. psrin@seas.upenn.edu1
Dalian University of Technology, Dalian City1
Samsung Computer Vision Group Telecom R&D Center Beijing1
SeaTech School, Toulon University, La Garde, France1
LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France1
School of information technology, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China1
Islamic Azad University Arak Branch, Young Researchers Club Arak, Iran1
Islamic Azad University Arak Branch, Iran1
Islamic Azad University Shazand Branch, Iran1
School of Engineering The University of South Wales Pontypridd CF37 1DL, United Kingdom1
Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin, China1
Dept. of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Köln, Germany1
Imaging, Robotics, and Intelligent Systems Laboratory, Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA1
Computer Science and Engineering, CENG, Qatar University, Doha, Qatar1
LE2i Laboratory, University of Burgundy, Dijon, France1
Electrical and Computer Engineering Dept., National University of Singapore, Singapore 1175761
Siemens AG, Corporate Technology, 81739 Munich, Germany1
School of Computing, Teesside University, UK1
LMU Munich, Germany and Munich University of Applied Sciences, Germany and Bundeswehr University Munich, Germany1
LMU Munich, Germany and University of Glasgow, Scotland1
Medical College Kolkata, Kolkata, India1
Centre for Image Analysis, Uppsala University, Uppsala, Sweden1
School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India1
Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS), Pilani, India1
Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani, India1
School of Mathematics and Statistics, Guangdong University of Finance and Economics, Guangzhou, China1
Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, gtumuklu@ceng.metu.edu.tr1
Division of Digital Media Engineering, Sang-Myung University, Suwon, Republic of Korea1
Dept. of Biomedical Eng., University of Padua, Italy. enrico.grisan@unipd.it1
Dept. of Electr. Eng. and Physics, Heriot-Watt University, UK. p.favaro@hw.ac.uk1
Computer Science Dept., UCLA, USA. vedaldi@ucla.edu1
Instituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Santarém, Pará, Brasil1
Ocular Imaging Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore1
Hue University of Sciences, Vietnam1
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), and the Key Laboratory of Machine Perception, Peking University, Beijing, 100087 China1
Laboratoire de Télécommunications et Télédétection, UCL, Louvain-La-Neuve, Belgium1
School of Electronics and Information Engineering, Xi'an Jiaotong University, China1
Department of Computer Science, Johns Hopkins University, Baltimore, United States1
Indian Institute of Engineering Science and Technology, Shibpur, India1
Department of Computer ScienceCortical Architecture Imaging and Discovery Laboratory, University of Georgia, Athens, GA, USA1
Civolution Technology, Eindhoven, The Netherlands1
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle, U.K.1
Toyota Technological Institute1
Tata Consultancy Services Ltd., TCS Research & Innovation, Kolkata, India1
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China1
Progeny Systems Corporation, 9500 Innovation Drive, Manassas VA 20110, USA1
Department of ECE Marian Engineering College Trivandrum, India1
Department of Computer Science, Chu Hai College of Higher Education, Tuen Mun, Hong Kong1
PolyU Shenzhen Research Institute, Shenzhen, China1
Medical Image Analysis Lab, Simon Fraser University, Burnaby, Canada1
BiSICL, University of British Columbia, Vancouver, Canada1
New York University1
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, People’s Republic of China1
Intel, Kontich, Belgium1
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China1
EECS, UC Berkeley1
Department of Computer Science, Rutgers University, Piscataway, New Jersey 08854, USA1
INRIA Grenoble-Rhône-Alpes Research Center, France1
School of Computer Science and Information, Anhui Polytechnic University, Wuhu, China1
School of Computer and Information, AnHui Polytechnic University, WuHu, China1
Department of Oral and Maxillofacial Radiology, School of Dentistry, Wonkwang University, Iksan, Korea1
Qualcomm Technologies, Inc., San Diego, CA1
Kyushu Institute of Technology, Japan1
Delft University of Technology, Delft & Radboud University, Nijmegen, Netherlands1
St.-Petersburg Electrotechnical University, St.-Petersburg, Russia1
West Pomeranian University of Technology, Szczecin, Poland1
Department of Information Engineering, University of Florence, Firenze, Italy1
Electrical Engineering Department, IIT Roorkee, India1
Computer Engineering, Rochester Institute of Technology, New York 14623, USA1
Computing & Informational Sciences, Rochester Institute of Technology, New York 14623, USA1
National Formosa University, Yunlin, Taiwan1
Electrical Engineering Department, Kuwait University, Safat, Kuwait1
Electronic and Electrical Engineering Department, University of Surrey, Guildford, United Kingdom1
Department of E & TC, Pimpari Chinchwad College of Engineering, Pune-44, India1
University of Thiqar, Iraq1
Department of Computer Engg, Vishwakarma Institute of Technology, Pune-46, Maharashtra, India1
Brno University of Technology, Brno, Czech Rep1
Brno University of Technology & Adobe Research, Brno, Czech Rep1
School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China1
Department of Electrical Engineering, Shahid Rajaee University, Tehran, Iran1
Department of Electrical Engineering, Tarbiat Modarres University, Tehran, Iran1
School of Cognitive Sciences, Institute for Studies on Theoretical Physics and Mathematics, Tehran, Iran1
L2F - INESC-ID, Systems and Computers Research Institute, Lisbon, Portugal1
University of Sydney1
School of Information and Communication Technology, Griffith University, Southport, QLD, Australia1
Queensland Brain Institute, University of Queensland, Queensland, QLD, Australia1
School of Mathematics and Statistics, Xian Jiaotong University, Xian, China1
Vesalis company, Clermont-Ferrand, France1
College of Science, Northeast Agricultural University, Harbin, China1
College of Economics and Management, Northeast Agricultural University, Harbin, China1
College of Engineering, Northeast Agricultural University, Harbin, China1
School of Science and Engineering, Tokyo Institute of Technology, Japan1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, via Mersin 10, Turkey1
Department of Computer Engineering, Cyprus International University, via Mersin 10, Turkey1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. rama@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. ramanath@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of Computer Science, University of Maryland, College Park. gaurav@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. soma@cfar.umd.edu1
School of Electrical Engineering, Nantong University, Nantong, China1
Chinese Academy of Sciences, Chongqing, China1
Chinese Academy of Sciences, Chongqing, Singapore1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: stiefel@ira.uka.de1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: ekenel@ira.uka.de1
Chinese Academy of Engineering, Beijing, China1
Department of Biomedical Engineering, South China University of Technology, Guangdong, China1
University of Calgary, Calgary, T3G 2T6 AB, CANADA1
University of Louisville, Louisville, KY 40292 USA1
Tubitak Bilgem Information Technologies Institute, Kocaeli, Turkey1
Department of Mechatronics Engineering, Graduate School of Science Engineering and Technology, Istanbul Technical University, ITU Ayazaga Campus, Maslak/Istanbul1
Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia1
Department of Aerospace Engineering, Technion—Israel Institute of Technology, Haifa, Israel1
Technion Autonomous Systems Program, Technion—Israel Institute of Technology, Haifa, Israel1
Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Australia1
Department of Systems Engineering and Automation, University of Vigo, Pontevedra, Spain1
University of Science & Technology (UST), Daejeon, Korea1
School of EEE, Nanyang Technological University, Singapore, Singapore1
Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
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School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA1
Max Planck Institute for Informatics, Saarbrucken, Germany1
Department of Electrical Engineering, University of California, Riverside, Riverside CA, California 92521 United States1
Art History, University of California, Riverside, Riverside, California United States1
Electrical Engineering, University of California, Riverside, Riverside, California 92521 United States1
Department of Statistics and Operational Research, Faculty of Mathematics, Complutense University of Madrid, Madrid, Spain1
Distributed Infinity, Inc., Larkspur, CO, USA1
University of Colorado Denver, Denver, CO, USA1
MIT World Peace University1
Project Lead Persistent Systems Ltd1
Adobe Systems Inc., San Jose, CA, USA1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
Department of Computer Science and Engineering, Chinese University of Hong Kong, Hongkong, People’s Republic of China1
Department of Statistics, Florida State University, Tallahasse, FL, USA1
Computer Science, University of North Carolina at Charlotte1
Department of Computer Science, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA1
Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan1
Artificial Intelligence Center, University of Oviedo at Gijón, Gijón, Spain1
College of Computer Science and Engineering, Northeastern University, Shenyang, People’s Republic of China1
Department of Psychiatry and Neurosciences, Department of Psychiatry and Neurosciences, University of Missouri Kansas City (UMKC), Kansas City, USA1
Center for Neuropsych Research of Traumatic Stress, Charles University Department of Psychiatry, Prague, Czech Republic1
Department of Psychology,, Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom1
EECS, University of Massachusetts at Lowell, Lowell, MA, USA1
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Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy1
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LIMSI-CNRS, Orsay Cedex, France1
Brown University, Providence, USA1
Weta Digital, Wellington, New Zealand1
Middlebury College, Middlebury, USA1
Faculty of Information Technology, University of Technology, Sydney, Sydney, Australia. email: hintz@it.uts.edu.au1
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Dept. of Mathematics and Computer Science, University of Udine, Italy1
Department of Computer Science & Engineering, Indian Institute of Technology, Kanpur, India1
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Center for AI & Robotics, DRDO Complex, Bangalore, India1
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Miss Poter's School, Farmington, USA1
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Inspur, Shangdong, China1
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SCS, Carnegie Mellon University, Pittsburgh, USA1
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LAPI, University Politehnica of Bucharest, Bucharest, Romania1
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National Engineering Laboratory of Visual Information Processing Applications, Xi’an Jiaotong University, Xi’an, China1
Collaborative Innovation Center of Intelligent New Energy Vehicle, Tongji University, Shanghai, China1
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Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, USA1
Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Ministry of Education, Wuxi, People’s Republic of China1
School of Internet of Things, Jiangnan University, Wuxi, People’s Republic of China1
Department of Electrical and Electronics Engineering, Bahcesehir University, Istanbul, Turkey1
Informatics Institute, Faculty of Science, University of Amsterdam. The Netherlands1
Jiangsu University, Chinese Academy of Sciences, Zhenjiang, China1
AMF-319, IŞIK University, Ístanbul, Turkey1
North China Sea Environmental Monitoring Center, State Oceanic Administration1
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School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China 10008761
Dept. of EC Engineering, LBS Institute of Technology for Women, Poojapura, Trivandrum, Kerala1
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Department of Electrical Engineering, University of California at Los Angeles, Los Angeles, CA1
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Department of Communication Engineering, Yuan Ze University, Chungli, Taiwan1
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The University of Texas at Dallas1
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University of Ottawa1
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College of Physics and Electronic Information, Wenzhou University, Wenzhou, China1
State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China1
LIASD research Lab., University of Paris 8, Saint-Denis, France1
PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Guelma, Algeria1
Ship Intelligence, Rolls-Royce Marine1
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Korea Institute of Oriental Medicine, Daejeon, South Korea1
Faculty of Computer Science, Technical University, Cluj-Napoca, Romania1
Department of Electrical and Computer Engineering, University of Denver, Denver, USA1
Education Technology and Information Center, Shenzhen Polytechnic, Shenzhen, China1
School of Astronautics, Harbin Institute of Technology, Harbin, China1
School of Computer Science and Technology, Jilin University1
Monash University, Australia1
FotoNation Ltd., Galway, Ireland1
School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India1
Computer Vision Center/Computer Science Department, Universitat Autonoma de Barcelona, Barcelona, Spain1
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University of Klagenfurt1
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Academy of Computer Science and Software Engineering, University of Johannesburg, Corner Kingsway and University Road Auckland Park, South Africa, 20921
School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA1
Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
MediaTek, Inc., Hsinchu, Taiwan1
UBTECH Robotics, Shenzhen, China1
UBTech Sydney Artificial Intelligence Institute1
School of Science and Technology, Nottingham Trent University, Nottingham, UK1
Department of Electronics and Computer Science, University of Southampton, Southampton, UK1
Intelligent Systems Research Centre, University of Ulster, Londonderry, UK1
School of Mathematics and Computer Science, Faculty of Science and Engineering, City Campus, University of Wolverhampton, Wolverhampton, England, UK1
Department of Physics, Tripura University (A Central University), Suryamaninagar, Tripura, India1
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Multimedia Systems Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran1
Islamic Azad University, Qazvin Branch, Iran1
Elektronik ve Haberleşme Mühendisliği Bölümü1
iTeam - Universitat Politècnica de València, València, Valencia, Spain1
Department of Computer Science, University of Peshawar, Peshawar, Pakistan1
School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China1
Engineering Research Center of Information Networks, Ministry of Education, Beijing, China1
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China1
Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, China1
School of Civil Engineering, Chongqing University, China1
Electronic Information Engineering College, Henan University of Science and Technology, Luoyang, China1
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, Email: houyang@ee.cuhk.edu.hk1
Universidad de León, León, Spain1
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Netflix, Los Gatos, CA, USA1
Adobe Systems, San Jose, CA, USA1
Department of Electrical and Electronic Engineering, Shizuoka University, Shizuoka, Japan1
Department of Aerospace and Mechanical Engineering, Embry-Riddle Aeronautical University, Prescott, AZ, USA1
Department of Computer Science, The University of York, York, U.K.1
College of Mathematics and Informatics, Fujian Normal University, Fuzhou 350108, China1
School of Software, Xiamen University, Xiamen, China1
Graduate School of System Informatics, Kobe University, Kobe, Japan1
Center for Computational Social Science, Kobe University, Kobe, Japan1
Department of Informatics, University of Thessaloniki, 54124, Thessaloniki, Greece, phone: +30-2310996304, fax: +30-2310996304, email:pitas@aiia.csd.auth.gr1
Department of Informatics, University of Thessaloniki, 54124, Thessaloniki, Greece, phone: +30-2310996304, fax: +30-2310996304, email:vasilis@aiia.csd.auth.gr1
Department of Informatics, University of Thessaloniki, 54124, Thessaloniki, Greece, phone: +30-2310996304, fax: +30-2310996304, email:vretos@aiia.csd.auth.gr1
NTT Data Corporation, Toyosu Center Bldg Annex, 3-3-9, Koto-ku, Tokyo 135-8671, Japan1
Robert Bosch Engineering and Business Solutions Limited, Bangalore, India1
Department of Instrumentation and Control Engineering, PSG College of Technology, Coimbatore, India1
United Technologies Research Center, Cork, Ireland1
Department of Information Security Engineering, Shanghai Jiao Tong University, Shanghai, China1
Department of Mathematics, Jiaying University, Meizhou, China1
Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China1
Dept. of Electronics, Telecommunications and IT, University “Politehnica” of Bucharest, Romania1
Sabaticı Üniversitesi, İstanbul, Türkiye1
Microsoft Research Redmond, Redmond, USA1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, People’s Republic of China1
Department of Multimedia, Sungkyul University, Anyang, Korea1
School of Computer Science, Harbin Institute of Technology, Harbin , China1
Delft University of Technology, EEMCS, Delft, The Netherlands, reinierz@gmail.com1
Imperial College London, Computing Department, London, U.K., m.pantic@imperial.ac.uk1
Korea Electronics Technology Institute, Korea1
Department of Electronic Engineering and Computer Science, The Catholic University of America, Washington, DC, USA1
Dept. of Appl. Electron., Fraunhofer Inst. for Integrated Circuits, Erlangen, Germany1
Faculty of Electrical and Computer Eng., Babol University of Technology, Babol, Iran1
Graduate Program of Multimedia Systems and Intelligent Computing, National Cheng Kung University and Academia Sinica, Tainan, Taiwan1
Computer Vision and Robotic Laboratory, Instituto Superior Técnico, Lisbon, Portugal1
Learning Algorithms and Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne, EPFL-STI-I2S-LASA, Lausanne, Switzerland1
Department of Computer and Information Science, University of Macau, Macau1
College of Transportation and Management, Dalian Maritime University, Dalian 116026, China1
LG Electronics Institute of Technology, Seoul, Korea1
Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China1
Departments of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada1
St. Joseph’s Health Care, London, ON, Canada1
Northumbria University, Newcastle upon Tyne, U.K.1
Down Syndrome Research Foundation, Vancouver, BC, Canada1
Departments of Computer Science and Applied Mathematics, Stony Brook, NY 11794, USA1
United Technologies Research Center, 411 Silver Lane, East Hartford, CT 06108, USA1
Department of Electrical and Computer Engineering, University of Alabama at Birmingham, 35294, USA1
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, India1
Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada1
Department of Computer Science, Hong Kong Baptist University,1
Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA1
Center for Applied Mathematics, Tianjin University, Tianjin, China1
Department of Mathematics, School of Science, Tianjin University, Tianjin, China1
Faculty of Applied Mathematics, Shanxi University of Finance and Economics1
Illinois Univ., Urbana, IL, USA1
C-Core, St. John's, Nfld., Canada1
School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Qld, Australia1
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu1
University of Electronic Science and Technology of China, Chengdu1
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, People’s Republic of China1
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan1
School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, People’s Republic of China1
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, People’s Republic of China1
IBM Research, Singapore1
Department of Computer Science, University of Milan, Milan, Italy1
Department of Mathematics “Federigo Enriques”, University of Milan, Milan, Italy1
Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China1
Indian Institute of Technology, Mandi, India1
National Institute of Technology, Hamirpur, India1
Institute of High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Naples, Italy1
Department of Electronic and Electrical Engineering, Gaziantep University, Gaziantep, Turkey1
EECS Department, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. guskov@eecs.umich.edu1
EECS Department, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. xinju@eecs.umich.edu1
Université Of Bourgogne, France1
Delft University of Technology, Amsterdam, Holland1
Huawei Research and Development, Santa Clara, CA, USA1
Centro de Ciências do Mar (CCMAR) - Campus de Gambelas, Faro, Portugal1
Instituto Português do Mar e da Atmosfera (IPMA), Divisão de Modelação e Gestão de Recursos da Pesca, Lisbon, Portugal1
Instituto de Telecomunicações, Instituto Superior Técnico, Lisbon, Portugal1
Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia1
Laboratory of Psychopathology and Neuropsychology (LPN, EA2027), Université Paris 8, Saint-Denis 93526 cedex, France1
Department of Electrical Engineering Mathematics and Computer Science, University of Twente, AE Enschede, The Netherlands1
UC San Diego, La Jolla, CA1
Department of Cybernetics, Czech Technical University, Prague, Czech Republic1
Department of Cybernetics, Centre for Machine Perception, Czech Technical University, Praha, Czech Republic1
School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Fuzhou, China1
Shenzhen Konka Communication Technology Company, China1
Institute of Molecular Biology and Biophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland1
Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany1
Center for Economics and Neuroscience, University of Bonn, Bonn, Germany1
Laboratory of Neurogenetics, University of Bonn, Bonn, Germany1
Department of Psychology, University of Bonn, Bonn, Germany1
Center for Research in Intelligent Systems, University of California Riverside, Riverside1
Center for Research in Intelligent Systems and the Department of Computer Science, University of California Riverside, Riverside1
Center for Research in Intelligent Systems and the Department of Electrical Engineering, University of California Riverside, Riverside1
Nanyang Technological University, China and Chinese Academy of Sciences, China1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. zqzhuang@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. email: binli@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. alang_yao@mail.ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. chenhong@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. zwcong@mail.ustc.edu.cn1
Blaise Pascal University, France1
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School of Automation, Beijing University of Posts and Telecommunications, 100876, China1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore, 639798, Singapore1
ENSEEIHT, Toulouse, France1
Florida Atlantic University, Boca Raton, USA1
Dept. of Computer Science, U. of Texas at Austin1
Laboratory of Media Dynamics, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan1
Vision & Sensing Group, HCC Lab, University of Canberra, Australia1
iHCC, Australian National University, Australia1
School of Electrical Engineering and Computer Science, University of Bradford, Bradford, UK1
Nanjing University of Information Science and Technology, China1
Max-Planck-Institute for Informatics, Saarbruecken, Germany1
University of Erlangen-Nuremberg, Erlangen, Germany1
Stanford University, Stanford, United States of America1
Cornell University, New York, NY, USA1
Cornell University & Facebook Inc., New York, NY, USA1
iCV Research Group, Institute of Technology, University of Tartu, 50411, Estonia1
Dept. Mathematics and Informatics, University of Barcelona, Computer Vision Center, Spain1
Institute of Technology, University of Tartu, 50411, Estonia1
Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil1
Emory University School of Medicine, Atlanta, USA1
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA1
Department of Radiology and Imaging Sciences, Winship Cancer Institute, Emory University School of Medicine, Atlanta, USA1
Amazon.com Cambridge, MA, USA1
Dept. of EMPH, Icahn School of Medicine at Mount Sinai, New York, NY 100291
Dept. of ENME College Park, University of Maryland, College Park, MD, 207421
Center of Network and Computation, Huazhong University of Science and Technology, Wuhan, China1
School of Computer and Information, Anqing Normal University, Anqing, China1
School of Computer Science and Engineering, Beihang University, 100091, Beijing, China1
Department of Computer Science and Engineering, Southeast University, Nanjing, China1
School of Mathematics and Statics, WuHan University, HuBei, China1
Digital Western1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia; Institute of Management of Technology, National Chiao-Tung University, Taiwan. e-mail: debbiechu@itri.org.tw1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia. Fax: +61-3-94795971, Email: r.khosla@latrobe.edu.au1
Cooperative Medianet Innovation Center, Shanghai, China1
School of Engineering, University of Warwick, Coventry, UK1
Shenyang Institute of Automation, Chinese Academy of Sciences, Key Laboratory of Opto-Electronic Information Processing, CAS. Key Laboratory of Image Understanding and Computer Vision, Shenyang, China1
Nauto Inc., 380 Portage Ave., Palo Alto, CA 94306, USA1
Vienna University of Technology, Vienna, Austria1
St. Pölten Univ. of Applied Sciences, St. Pölten, Austria1
University of Vienna & Vienna University of Technology, Vienna, Austria1
Department of Computer Science, Northumbria University, Newcastle, UK1
Scientific Initiation Program State University of Maringá, Avenida Colombo, 5790, Maringá - Paraná - Brasil1
Computer Science Dapartment, Federal University of Technology - Paraná Via Rosalina Maria dos Santos, 1233, Campo Mourao - Parana - Brasil1
University of Rajshahi, Bangladesh1
NVIDIA, Leesburg, USA1
Intel Corp., Santa Clara, USA1
University of Delaware, Newark, USA1
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NextGen Interactions, Raleigh, USA1
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Labri, University of Bordeaux, France1
National Laboratory of Pattern Recognition at Institute of Automation, Chinese Academy of Sciences, Haidian, Beijing, China1
National Technical University of Athens/ University of the Aegean, Athens, Greece1
Signal and System Research Unit, ENIT, le belvedere 1002, Tunis, Tunisia1
CoR-Lab, University of Bielefeld, Universitaetsstr. 25, 33615 Bielefeld, Germany1
Shanghai Maritime University, Shanghai, China1
Machine Intelligence Research Institute, Rockville, USA1
Computer Engineering Department PCCOE, Pune, India1
PCCOE Information Technology Department PCCOE, Pune, India1
Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, China1
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110004, China1
Computer Vision and Robotics Research, University of California, San Diego, La Jolla, California 92093-04341
University of Pittsburgh and Adjunct Faculty at the Robotics Institute, Carnegie Mellon University: 3137 Sennott Square, 210 S. Bouquet St., PA 15260 USA1
Institute of Creative Technologies, University of Southern California, Los Angeles, California, 900941
City University of Macau, Xian Xing Hai, Macau1
Zhuhai Da Hengqin Science and Technology Development Co.,Ltd, Zhuhai, China1
Information Processing and Telecommunications Laboratory, Computer Science Department, Faculty of Science and Technology, Sultan Moulay Slimane University, Mghila, Beni Mellal, Morocco1
SAIIP, School of Computer Science, Northwestern Polytechnical University, Xi’an, China1
Department of Electrical and Computer Engineering, Duke University, USA1
Psychology Department at California State University, Fullerton, California, US1
Information Systems and Decision Sciences Department at California State University, Fullerton, California, US1
Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Aachen, Germany1
Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Aachen, Germany1
Key Laboratory of Big Data Intelligent Computing of Zhejiang Province, Innovation Joint Research Center for ICPS, College of Computer Science and Technology, Zhejiang University, Hangzhou, China1
Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada1
University of Applied Sciences of Western Switzerland, Fribourg, Switzerland1
University of Applied Sciences of Western Switzerland - Fribourg, Fribourg, Switzerland1
College of Mechanical and Electrical, Changzhou Textile Garment Institute, Changzhou, China1
Institute of Control and Computation Engineering, Warsaw, Poland1
Industrial Research Institute for Automation and Measurements, Warsaw, Poland1
School of Control Science and Engineering DUT, Dalian, China1
Department of Computer Science, Fuzhou Polytechnic, Fuzhou, China1
Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China1
College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China1
Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC1
CSIR-CEERI, Pilani, India1
CEDAR, Buffalo, USA1
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Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-1816. alexander.loui@kodak.com1
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Stanford University, USA1
Electrical and Computer Engineering Department, University of California, Santa Barbara, CA 93106 USA1
Psychology Department, University of California, Santa Barbara, CA 93106 USA1
Computer Science and Information Engineering Department, National Taiwan Normal University, Taipei, Taiwan1
Dept. of computers and communications, Faculty Of Eng., Delta Univ. for Science and Technology, Gamasa City, Egypt1
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Electrical-Electronics Engineering Department, Firat University, Elazig, Turkey1
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Massachusetts Institute of Technology, CSAIL, Cambridge, Massachusetts1
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LaBRI, University of Bordeaux, Talence, France1
Computer Vision Laboratory (CVLab), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
Department of Computer Science, Solapur University, Solapur, India1
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Anadolu Üniversitesi, Elek., Elektronik Mühendisliği Bölümü, Eskişehir, Türkiye1
University of Western Australia, Perth, 6009, Australia1
Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore1
Robrt Bosch Center for Cyber physical Systems of Indian, Institute of Science Bangalore1
Ramaiah Institute of Technology, Bangalore1
State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 210096, Nanjing, Jiangsu, China1
School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, China1
Faculty of Computing, Information Systems, and Mathematics and also with the Digital Imaging Research Centre , Kingston University, Kingston upon Thames, U.K.1
Digital Imaging Research Centre, Kingston University, Kingston upon Thames, U.K.1
Digital Imaging Research Centre, Kingston University, Kingston upon Thames , U.K.1
National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore1
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INESC TEC, Porto, Portugal1
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University of Manouba, Republic of Tunisia1
University of South Wales, UK1
Lawrence Berkeley National Laboratory1
School of Computer Science, University of Lincoln, Lincoln, UK1
Khalifa University, Abu Dhabi, United Arab Emirates1
University of Bristol, Bristol, UK1
Sookmyung Women’s University, Seoul, Republic of Korea1
National Institute of Technology, Durgapur, India1
Indian Institute of Technology, Bhubaneswar, India1
Haldia Institute of Technology, Haldia, India1
Department of Computer Science & Engineering, Mary Matha College of Engineering & Technology, Paliyodu, Neyattrinkara, Trivandrum District, Kerala, India1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece E-mail: dralbert@zeus.csd.auth.gr1
Univ. La Rochelle, La Rochelle, France1
The Second Hospital of Nanjing, Nanjing, China1
University of Applied Sciences Berlin (HTW), Berlin, Germany1
Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia1
School of Computer Science and Engineering, South China University of Technology, Panyu District, Guangzhou City, China1
University of Nottingham, United Kingdom1
Shenzhen University, China1
University of Pittsburgh, Department of Psychiatry, 3811 O’Hara St., WPIC—Loeffler 319, Pittsburgh, PA 15213, United States1
Antal Bejczy Center for Intelligent Robotics Óbuda University1
School of Computing, Media and the Arts, Teesside University, Middlesbrough, UK1
IM&T Operations Assistant NEP Shared System Group, Northumbria Healthcare NHS, Stokesley, UK1
Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan1
Centre for Innovation in IT Services and Applications (iNEXT), University of Technology, Sydney, Australia1
Video Surveillance Laboratory, Guizhou University for Nationalities, Guiyang, China1
College of Arts and Sciences, Shanxi Agricultural University, Shanxi, China1
CAAC Academy of Flight Technology and Safety, Civil Aviation Flight University of China, Guanghan, China1
Intelligent Vehicles & CognitiveRobotics Group, Technical University Delft, The Netherlands1
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA1
Research Division, Anyvision, Belfast, U.K.1
ISSS, Heriot-Watt University, Edinburgh, U.K.1
Centre for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia1
Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia1
Reference Centre on Interactive Television, Aragon Institute of Technology, Spain1
Hefei University of Technology, Hefei Shi, China1
National University of Singapore, Singapore, China1
Electrical department, Azad University of Takestan, Takestan, Iran1
Computer department, Raja University of Qazvin, Qazvin, Iran1
Electrical and Computer department, Azad University of Qazvin, Qazvin, Iran1
Dipartimento di Informatica, Università Degli Studi di Torino, Turin, Italy1
Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan1
Faculty of Philosophy, Languages and Literature, and Human Sciences, University of Sao Paulo, Sao Paulo, Brazil1
School of Arts, Sciences and Humanities, University of Sao Paulo, Sao Paulo, Brazil1
Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France1
Guangxi Normal University, Guilin, China1
Facultad Informatica, Universidad Politecnica de Madrid, Boadilla del Monte (Madrid), Spain. lbaumela@fi.upm.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. pjimenez@depeca.uah.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. jnuevo@depeca.uah.es1
Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, Móstoles (Madrid), Spain. josemiguel.buenaposada@urjc.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. bergasa@depeca.uah.es1
School of Computer Science, Shaanxi Normal University, Xi’an, China1
Engineering Laboratory of Teaching Information Technology of Shaanxi Province, Xi’an, China1
Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi’an, China1
Dept. of Comput. Sci., Harbin Inst. of Technol., China1
Rutgers University, 94 Brett Road, Piscataway, NJ 08854, United States of America1
Tsuruoka National College of Technology, Tsuruoka, Yamagata, Japan 997-85111
Kurume National College of Technology, Fukuoka, Japan 835-85551
Faculty of Information Technology, Thai-Nichi Institute of Technology, Bangkok, Thailand 102501
Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan1
Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan1
Yunnan University, Kunming, Yunnan, China and Chuxiong Normal University, Chuxiong, Yunnan, China1
Institutes of Innovation for Future Society, Nagoya University, Japan1
Information Strategy Office, Nagoya University, Japan1
Idiap Research Institute, Martigny, Ecole Polytechnique Fédérale de Lausanne, Switzerland1
The University of Manchester, Manchester, Lancashire, United Kingdom1
MIRACL-Faculty of Sciences, Sfax University, Sfax, Tunisia1
MIRACL-Faculty of Economics and Management, Sfax University, Sfax, Tunisia1
Center for Quantum Computation and Intelligent System, Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales 2007, Australia1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, China1
College of Communication Engineering, Chongqing University, 400044, China1
Department of Electrical and Electronic Engineering, Auckland University of Technology , Auckland, New Zealand1
Department of Computer Engineering, Qazvin Islamic Azad University , Qazvin, Iran1
Department of Computer Science and Engineering, University of North Texas, Denton, TX, USA1
Faculty of Electrical Engineering and Information Technology, Technische Universität München, 85290, Germany1
Nokia Research, Palo Alto, CA1
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA1
Dept. of Computer Science, Purdue University, West Lafayette, IN, 47907, USA1
Department of Computer Science & Engineering, P A College of Engineering, Mangalore, India1
School of Mathematics, Jilin University, China1
Department of Computer Science, Memorial University of Newfoundland, Canada1
Vision Semantics Ltd1
Griffith University, Brisbane1
Griffith University, Brisbane and University of the South Pacific, Fiji1
Department of Nuclear Engineering, University of California, Berkeley, USA1
Department of Computer Science, University of California, Berkeley, USA1
Department of Computer Science and LIASD research Laboratory, University of Paris 8, Saint-Denis, France1
Vocational School of Teachers and Technology, Jiangxi Agricultural University, Nanchang, China1
School of Mathematics and Computer Science, Jiangxi Science and Technology Normal University, Nanchang, China1
College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China1
Dept. of Electrical Engineering & Computer Science, Ningbo University, Ningbo, P. R. China1
Intel Israel, Haifa, Israel1
Microsoft Corporation, Redmond, WA1
Mechanical Engineering, Kettering University, Flint, Michigan, U.S.A.1
Electrical & Computer Engineering, Kettering University, Flint, Michigan, U.S.A.1
Department of Electrical and Computer Engineering, Curtin University, Miri Sarawak, Malaysia1
Information Security Group, City University London, London, UK1
Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia1
Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia1
School of Physics and Electronic Information Engineering, Wenzhou University, Wenzhou, China1
IIIT Chittoor, SriCity, Andhra Pradesh, India1
Ecole Centrale Paris & INRIA Saclay, France1
School of Information Engineering, Tianjin University of Commerce, Tianjin, China1
JD.com, Beijng, China1
State Key Laboratory of Information Security, Institute of Information Engineering, CAS, Beijing, China1
College Of Medicine Pediatrics, University of South Florida, Tampa, 33620, United States of America1
Electrical Engineering Department Sharif University of Technology Tehran, Iran1
Laboratoire d’Imagerie, de Vision, et d’Intelligence Artificielle, École de Technologie Supérieure, Université du Québec, Montreal, Canada1
The School of Computer Science and Engineering Beihang University, Beijing Key Laboratory of Digital Media, Bejing, China1
Department of Electrical and Electronic Engineering, Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey1
Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey1
School of Computer Science, Carnegie Mellon University (USA)1
ARM, Inc., San Jose, CA1
UMR CNRS 5205, INSA-Lyon, LIRIS, Université de Lyon, CNRS, Lyon, France1
Department of Electrical-Electronics Engineering, Boğaziçi University, Istanbul, Turkey1
INRIA - WILLOW Project1
Department of Embedded Systems Engineering, Incheon National University, Incheon, South Korea1
School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India1
Department of Korean Language Education, Incheon National University, Incheon, South Korea1
School of Electrical Engineering and Information, University of Sichuan, Chengdu, China1
College of Computer and Information Science, Northeastern University, Boston, MA, USA1
College of Computer Science, Sichuan Normal University, Sichuan, China1
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China1
CIDIS - FIEC, Escuela Superior Politecnica del Litoral. Guayaquil, Ecuador1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak, Tapah, Malaysia1
ARCAA, Queensland University of Technology, Brisbane, Australia1
Department of Computer Engineering, Taif University, Taif, KSA1
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Oh, USA1
Department of Physics and Computer Science, Pacific Lutheran University, Tacoma, WA, USA1
Dept. Physics, Montana State University, Bozeman, MT 59717, USA1
NTIS - New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
Laboratorio de NeuroCognición, Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, Mexico1
Interdisciplinary Graduate School, Rapid-Rich Object Search Laboratory, Nanyang Technological University, Singapore1
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China1
Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China1
Department of Electrical and Computer Engineering, Wayne State University, Detroit, USA1
Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan1
Statistics, Colorado State University, Fort Collins, USA1
Information Access Division, NIST, Gaithersburg, MD, USA1
Department of Federal Police - Brasilia - Brazil1
School of Computer Science and Engineering, Beihang University, 100191, Beijing, China1
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China1
Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA1
Industry Centre, Shenzhen polytechnic, Shenzhen, China1
Dept. of Communication Engineering, Communication University of China, Beijing, China, 1000241
School of Mathematics and Computer Sciences, Gannan Normal University, Ganzhou, China1
Dept. of Electronics and Communications Engineering, R. J. I. T. Takenpur, Gwalior-4750051
Department of Electrical and Computer Engineering, Brunel University London, UB8 3PH, UK1
Department of Applied Mathematics and Analysis, Universitat de Barcelona, Barcelona, Spain1
Motorola Human Interface Labs, Tempe, Arizona 85284, USA1
GRAM, University of Alcalá, Alcalá de Henares, Spain1
Texas A & M University at Qatar, Doha, Qatar1
Department of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan. Email: komatsu@kom.comm.waseda.ac.jp1
NTT Data Corporation, Kayabacho Tower, 1-21-2 Shinkawa, Chuo-ku, Tokyo 104-0033, Japan. Email: sakanoh@nttdata.co.jp1
Department of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan. Email: ichino@kom.comm.waseda.ac.jp1
Advanced Technologies Application Center (CENATAV), 7a # 21812 b/218 and 222, Siboney, Playa, Havana, Cuba1
Key Laboratory of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Tencent1
Dalian Maritime University, Dalian, China1
Nanocomputing Research Lab, Rochester Institute of Technology, Rochester, NY, USA1
Bioinspired Microelectronics Systems Lab, School of Engineering, Nazarbayev University, Astana, Akmola, Kazakhstan1
Department of Electrical Engineering, IIT, Roorkee, India1
Electrical and Information Engineering, University of Sydney, Sydney, 2006 New South Wales, Australia1
Air Force Research Lab, Rome, NY, 13441, USA1
Measurement, Control and Mircotechnology , University of Ulm, Ulm, 89075 Germany, Germany1
Active and passive safety vehicle system development, Continental Safety Engineering International GmbH, Alzenau, Bayern, Germany1
Computer Science, Friedrich-Alexander Universitat Erlangen-Nurnberg, Erlangen, Germany, Germany1
Department of Electronic Engineering, Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China1
University of Petroleum and Energy Studies, Dehradun, India1
The State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079, China1
Institut Telecom, Telecom Paris, LTCI, France1
ITeam, Universitat Politècnica de València, Valencia, Spain1
Microsoft Research Asia, Beijing, 100080, P. R. China1
The University of Auckland, Auckland Bioengineering Institute, Auckland, New Zealand1
Private Practice, Auckland, New Zealand1
Formerly Repatriation General Hospital Concord, Sydney, Australia1
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy1
CONICET, SINC(i)-FICH-UNL, Ciudad Universitaria, Santa Fe, Argentina1
CONICET, CIDISI-UTN-FRSF, Santa Fe, Argentina1
Department of Computer Engineering, Eastern Mediterranean University, Gazimağusa, Northern Cyprus1
TTI Chicago1
ICSI, UC Berkeley1
Department of Electrical Engineering, Yazd University, Iran1
Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan1
University Blaise Pascal, Aubière, France1
School of Media and Communication, University of Leeds, Leeds, UK1
Center for Behavior Imaging, School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA1
iRobot Corporation, Bedford, MA, USA1
Department of Computer Science and Engineering, Toyohashi University of Technology, Aichi 441-8580, Japan1
Department of Computer Science, School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan1
Department of Fundamental Science and Technology, Graduate School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan1
Institute for Neural Computation University of California, San Diego1
Max Planck Institute for Intelligent Systems in Tübingen, Germany1
Rapid-Rich Object Search Laboratory, Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. jhkim@yonsei.ac.kr1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. jychoi@yonsei.ac.kr1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. myjeong@yonsei.ac.kr1
Science and Technology on Electro-optic Control Laboratory, Luoyang,471009,China1
Faculty of Engineering, Tunku Abdul Rahman University College, Setapak, Malaysia1
Faculty of Computing and Information Technology, Setapak, Malaysia1
University of Brunei Darussalam, Faculty of Science, Brunei Darussalam1
Graduate School of Information Science and Technology The University of Tokyo, Tokyo, Japan1
Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland1
Department of Computer Science, Kuwait University, Safat, Kuwait1
Shanghai University, Shanghai, China1
IEMN DOAE UMR CNRS 8520 Laboratory, Polytechnic University of Hauts-de-France, Famars, France1
Laboratory of LGEB, University of Biskra, Biskra, Algeria1
Laboratory of LESIA, University of Biskra, Biskra, Algeria1
Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute Wako-shi, Saitama, 351-0198, Japan1
Xi'an University of Science and Technology, Xi'an, China1
Xi'an Polytechnic University, Xi'an, China1
Bahirdar Institute of Technology, Bahir Dar, Ethiopia1
Department of Electrical Engineering, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
Pearl Special Needs Foundation, Ahmedabad, Gujarat, India-3800071
Centre for Cognitive Science, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK1
Computer Science Department, University of Maryland, College Park, MD, USA1
Cernium Corporation, Reston, VA, USA1
Computer Science Department, University of California, Los Angeles, CA, USA1
Southwest Research Institute, San Antonio, USA1
Department of Information Engineering, University of Padova, Padova, Italy1
School of Information Technology, Deakin University, Burwood, Australia1
Dep. Inteligencia Artificial, U. Politécnica Madrid, Spain1
Dep. Ciencias de la Computación, U. Rey Juan Carlos, Spain1
Dep. Comp. Sci. and Engr., Fudan University, China1
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea. jjeong@ece.hanyang.ac.kr, windcap315@ece.hanyang.ac.kr1
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea. windcap315@ece.hanyang.ac.kr1
Department of Information Technology, University of Milan, Italy. Damiani@dti.unimi.it1
Department of Information Technology, University of Milan, Italy. Bellandi@dti.unimi.it1
Department of Information Technology, University of Milan, Italy. Anisetti@dti.unimi.it1
School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China1
Singapore Bioimaging Consortium, A*STAR, Singapore, Singapore1
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China1
MOE-Microsoft Laboratory for Intelligent Computing and Intelligent Systems, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China1
QUVA Lab, Qualcomm Research, University of Amsterdam, Amsterdam, WX, The Netherlands1
University of Amsterdam, Amsterdam, WX, The Netherlands1
QUVA Lab, University of Amsterdam, Amsterdam, WX, The Netherlands1
Centre de Developpement des Technologies Avancees, Algeria1
Center For Machine Vision and Signal Analysis, University of Oulu, Finland1
Department of Information Science and Technology, Northwest University, Xi'an, China1
School of Computer Science and Electronic Engineering, University of Essex, United Kingdom1
Concordia University, Montreal, H3G 1M8, Canada1
Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China1
Changshu Institute of Science and Technology, China, Soochow University, China, and Beijing Jiaotong University, Beijing, China1
Soochow University, China, Jilin University, China, and Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China1
Soochow University, China and Suzhou Institute of Trade and Commerce, Suzhou, China1
American University of Science & Technology, Department of Mechatronics Engineering, Faculty of Engineering, Beirut, Lebanon1
Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain1
Center for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Singapore1
Laboratory of Media Audio & Video, Communication University of China, Beijing, China1
Department of Computer Engineering, College of Computer & Information Sciences, King Saud University, Riyadh, Saudi Arabia1
School of Electro-Mechanical Engineering, Xidian University, Xi’an, China1
School of Electrical Engineering, Yanshan University, Qinhuangdao, China1
Center for Intelligent Machines, McGill University, Montreal, Canada1
Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, Nanjing, China1
Faculty of information and engineering institute, Yangzhou University, Yangzhou, People’s Republic of China1
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, People’s Republic of China1
ECE, Department MSIT, C-4 Janakpuri, New Delhi, India1
FSU, Tallahassee, Tallahassee, FL, USA1
LIFL University of Lille 1, Lille, France1
Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany1
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, ˙Istanbul, Türkiye1
Department of Electrical Engineering & Computer Sciences, UC Berkeley1
Insititute of Information Science, Academia Sinica, Taipei, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University, National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan1
Data and Knowledge Engineering Laboratory, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand1
Center for OPTical IMagery Analysis and Learning and Xi'an Institute of Optics and Precision Mechanics, Xi'an, China1
FEECS, Department of Computer Science, Technical University of Ostrava, Ostrava-Poruba, Czech Republic1
Deanship of E-learning and Distance Education, Umm AL-Qura University, Mecca, Saudi Arabia1
Department of Computer Science and Information, Institute of Statistical Studies and Research, Cairo University, Cairo, Egypt1
Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Dept of Electrical Engineering and Computer Engineering, Université de Sherbrooke, Quebec, Canada1
Faculty of Computer Science, University of Hertfordshire, Hatfield, U.K.1
Faculty of Computer Science, Bishop's University, Sherbrooke, Québec, Canada1
Key Laboratory of Intelligent Information Processing, Shandong Normal University, Jinan, China1
School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, People’s Republic of China1
School of Computer Science, Chongqing University, Chongqing, China1
Institute of Life Sciences, Shandong Normal University, Jinan, China1
Research Institute for Future Media Computing, Shenzhen University, Shenzhen, China1
University of Trento, Povo - Trento, Italy1
Czech Technical University, Prague 2, Czech Republic1
RWTH Aachen, Aachen, Germany1
Software College, Northeastern University, Shenyang 110819, China1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan. e-mail: chihming.fu@gmail.com1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan; Informatics Department, Fo-Guang University, I-Lan, Taiwan. e-mail: clhuang@ee.nthu.edu.tw1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan1
School of Electrical and Information Engineering, University of Sydney, Sydney, Australia1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore1
Departments of Neurosurgery, Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, USA1
School of Aerospace Science and Technology, Xidian University, Xi’an, China1
School of Information Science and Technology, Fudan University, Shanghai, China1
Jingdezhen Ceramic Institute, Jingdezhen, China1
Facial Nerve Center, University Hospital Jena, Jena, Germany1
Department of Otorhinolaryngology, University Hospital Jena, Jena, Germany1
Department of Computer Science, Friedrich Schiller University, Jena, Germany1
University of Hawaii at Hilo, Hilo, HI1
Environmental Lab, US Army Engineer Research and Development Center, Vicksburg, MS, USA1
University of Tehran, Department of Management and Accounting, University of Tehran, Tehran, Iran1
Shahid Beheshti University, Computer Engineering Department, Shahid Beheshti University, Tehran, Iran1
University of Massachusetts, Dartmouth, MA, USA1
Northeastern University, Salisbury, MA, USA1
Statistics, University of California, Los Angeles, USA1
Department of Electrical Engineering and Information Technology, TU Darmstadt, D-64283, Germany1
Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, AP, India, 5180011
KLA-Tencor Software India Private Limited, Chennai, India 6000961
Signal Processing Laboratory (LTS4) EPFL-FSTI-IEL-LTS4, Lausanne1
Technicolor, IRISA, University of Rennes 1, Rennes, France1
Department of Electrical and Electronic Engineering, University of Imperial College, London, UK1
VISILAB group, University of Castilla-La Mancha, Ciudad Real, Spain1
Computer Engineering Department, Yildiz Technical University, Istanbul, TR1
Electric and Electronic Engineering Department, Bosphorus University, Istanbul, TR1
Computer Engineering Department, Istanbul Bilgi University, Dolapdere, TR1
National Engineering Research Center for Multimedia Software, Wuhan University, Hubei, China1
Dept. of Marine Engineering, Tokyo University of Marine Science and Technology, Japan1
Key Lab of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China, Hefei, People’s Republic of China1
Elektrik - Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs1
Department of Computer Science, George Mason University, Fairfax, VA1
Department of Medicine, University of Massachusetts Medical School, Worcester, MA1
University of St Andrews, St Andrews, UK1
Department of Photogrammetry and Remote Sensing, K.N. Toosi University of Technology, Tehran, Iran1
Tianjin Sharpnow Technology Co. Ltd., China1
Electrical Engineering Department, COMSATS Institute of Information Technology, Islamabad, Pakistan1
Department of Information and Communication Technology, F. M. University, Balasore, India1
School of Computer Engineering, KIIT University, Bhubaneswar, India1
Department of Computer, Luo Yang Institute of Science and Technology, 471023, Henan, China1
Library of Xuchang University, Xuchang University, 461000, Henan, China1
Information Engineering College, Central University for Nationalities, Beijing, 100081, China1
Hanyang University, Seoul, Rebublic of Korea1
The University of Western Australia, Crawley, Australia1
Curtin University, Perth, Australia1
Dept. of Computer Science, Hong Kong Baptist University, Hong Kong1
ELVEES NeoTek, JSC, Zelenograd, Russia1
Research and Development Center «ELVEES», Zelenograd, Russia1
Pontifical Catholic Univ of Rio de Janei, Department of Informatics, Rio de Janeiro, Brazil1
Department of Informatics, Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil1
School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia1
Beijing Etrol Technologies Co., Ltd., Beijing, China1
MOEKLINNS Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Fortiss GmbH, affiliated institute of Technische Universität München, Munich, Germany1
SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China1
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA1
Department of Computer and Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL1
Department of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia1
Computer Science Dept., Stevens Institute of Technology, Hoboken, NJ 070301
University of the Basque Country (UPV/EHU), Leioa, Spain1
Signal Theory and Communications Department (DTSC), Carlos III University of Madrid (UC3M), Getafe, Spain1
Fraunhofer Institute for Computer Graphics Research, Technology University of Darmstadt, Darmstadt, Germany1
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China1
Signal Theory Department, Polytechnic School, University of Madrid, Spain1
Computer Engineering, University of Alcala, Alcalá de Henares, 28806 Madrid, Spain1
Computer Engineering Department, University of Alcala, Alcala de Henares, 28805 Madrid, Spain1
Machine Vision Group, Dept. of Electrical and Information Engineering, University of Oulu, Oulu, Finland1
Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland1
Mellon College of Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA1
School of Electrical and Electronics Engineering, Nanyang Technological University 639798, Singapore1
Intelligent Technology and Robotics Research Center, Beihang University, Beijing, China1
University of Surrey, Guildford, Surrey, GU2 7XH, UK1
Research and Development Department, AnKe Smart City Technology Company Ltd., Shenzhen, China1
College of Computer Science, Inner Mongolia University, Inner Mongolia, China1
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore1
Institute of Automation Center for Biometrics and Security Resea, Chinese Academy of Sciences, Beijing, China1
University of Southampton, United Kingdom1
Faculty of Electronics and Telecommunications “POLITEHNICA” University from Timişoara Timişoara, România1
University of Surrey Guildford, UK1
Institute of Education, Xiamen University, Xiamen Shi, China1
College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China1
Department of Physics and Technology, University of Norway, P.O. Box 114 Blindern, NO-0314, TromsØ, Norway1
School of Communication and Design, Sun Yat-sen University, Guangzhou, China1
National Engineering Research Center of Digital Life, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: ysmoon@cse.cuhk.edu.hk1
Member, IEEE, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: jschen@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: kwcheung@cse.cuhk.edu.hk1
King Saud University, Riyadh, Saudi Arabia1
The Graduate Center, City University of New York, New York, NY, USA1
Pattern Recognition and Multi-modal brain imaging, University of Electronic Science and Technology of China, Chengdu, China1
Akita University, Akita, Japan1
Department of Machine Intelligence and Systems Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan1
National Institute of Technology Goa, Ponda, India1
VIGpro Laboratory, The University of Kitakyushu, Japan1
Computer Science and Engineering, Wuhan University of Technology, China1
Electrical and Computer Engineering, Mississippi State University, USA1
Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden1
Information Strategy Office, Nagoya University, Nagoya, Aichi, Japan1
Institutes of Innovation for Future Society (MIRAI), Nagoya University, Nagoya, Aichi, Japan1
Gwangju Institute of Science and Technology, Buk-gu, South Korea1
Georgia Institute of Technology, Center for Behavioral Imaging and College of Computing, Atlanta, GA, USA1
Georgia Institute of Technology, Center for Behavioral Imaging and School of Electrical and Computer Engineering, Atlanta, GA, USA1
University of Regina, Regina, Canada1
Centers of Excellence in Science and Applied Technologies, Islamabad, Pakistan1
The Hebrew University1
Academic College of Tel-Aviv-Yaffo1
University of KwaZulu-Natal, School of Maths, Statistics & Computer Science, Durban - South Africa1
Sudan University of Science and Technology, College of Computer Science and Information Technology, Khartoum - Sudan1
College of Communication Engineering, Jilin University, Changchun, P.R. China1
Department of ECE, University of California, Riverside, CA, USA1
Department of CSE, University of California, Riverside, CA, USA1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil, 31270-9011
University of British Columbia1
Bundesdruckerei GmbH, Berlin, Germany1
Otto-von-Guericke, University of Magdeburg, Magdeburg, Germany1
EMMi - Entertainment and Media Management Lab., Department of Business Information Management and Logistics, Tampere University of Technology (TUT), Tampere, Finland1
Queensland University of Technolgy, Australia1
Division of Electronics Engineering, Chonbuk National University, Jeonju, South Korea1
IT Convergence Research Center, Chonbuk National University, Jeonju, South Korea1
Department of Multimedia Engineering, Mokpo National University, Jeonnam, South Korea1
Department of Electronics Engineering, Chonbuk National University, Jeonju, South Korea1
Technical University of Eindhoven, Eindhoven, Netherlands1
School of Engineering of UABC, University of Baja California, Tijuana, Mexico1
Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China1
National Institute of Informatics, Japan & University of Tokyo, Tokyo, Japan1
Hong Kong Baptist University, China, Hongkong, China1
Huazhong University of Science of Technology, China, Wuhan, China1
School of Software, Shenyang University of Technology, Shenyang, China1
Chongqing Vocational Institute of Engineering, Chongqing, China1
no.1 tanhu 2nd road, canglong island, jiangxia district, Wuhan, China1
Microsoft Bing, Sunnyvale1
University of Science and Technology of China, China1
Institute for Digital Media, Peking University, Beijing, China1
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, People’s Republic of China1
Umm al Qura University & University of Grenoble Alpes, Makkah, Saudi Arabia1
Umm al Qura University & Universiti Sains Malaysia, Makkah, Saudi Arabia1
Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain1
Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan, R.O.C.1
Department of Electrical and Electronic Engineering, Nazarbayev University, Astana, Kazakhstan1
Department of Internal Medicine, Chung-Ang University, Seoul, South Korea1
Department of Data Science, Dankook University, Yongin, South Korea1
The University of Haifa, Haifa, Israel1
University of Haifa, Haifa, Israel1
Department of Psychology, Pennsylvania State University, University Park, PA, USA1
Foundation for Research & Technology – Hellas, Heraklion, Crete, Greece1
Vrije Universiteit Amsterdam, Amsterdam, The Netherlands1
Ruhr-Universität Bochum, Bochum, Germany1
National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University, Shenzhen, China1
Department of Computer Engineering, College of Applied Computer Science, King Saud University, Riyadh, Saudi Arabia1
Sapienza Università di Roma, via Salaria 113, 00198, Italy1
LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France1
Faculty of Engineering, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia1
LED-IT Fusion Technology Research Center and Dept. of Electronic Engineering Yeungnam University, 214-1 Dae-dong Gyeongsan-si Gyeongsangbuk-do, Korea1
School of Information Science and Engineering, Yunnan University, Kunming, China 6500001
HIK VISION, Hangzhou, China 3100271
College of Computer Science, Hangdian University, Hangzhou, China 3100271
Department of Information Engineering and Mathematics - University of Siena - Siena, Italy1
Department of Information Engineering - University of Florence - Florence, Italy1
E. U. Politecnica, Universidad de Castilla-La Mancha, Cuenca, Spain1
Science and Technology Unit, Umm Al-Qura University, Makkah Saudi Arabia1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Darul Ridzuan, Malaysia1
School of Mathematics Science, Liaocheng University, Liaocheng, China1
Industrial Technology Research Institute, Hsinchu, Taiwan1
Garmin Corporation, New Taipei, Taiwan1
Department of Neurosurgery, Rennes University Hospital, Rennes, France1
Faculty of Electrical & Electronics Engineering, Shijiazhuang Vocational Technology Institute, 050081, China1
Victoria University of Technology, Australia1
MIT Media Laboratory, Cambridge, MA, USA1
Keio University, Fujisawa Kanagawa, Japan1
Oregon State University, Corvallis, Oregon1
Advanced Engineering Department, DELPHI Automotive1
School of Engineering Science, University of Science and Technology of China, Hefei, China1
Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Modena, Modena, Italy1
University of California, David, USA1
University of Pennsylvania, Philadelphia, USA1
Visvesvaraya National Institute of Technology, Nagpur, India1
Toyohashi University of Technology, Toyohashi, Japan1
Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France1
Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France1
TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy1
Electrical and Computer Engineering Department, Stevens Institute of Technology, Hoboken, NJ, USA1
Bell Laboratories Research, Murray Hill, NJ, USA1
SCSE, VIT University (Chennai Campus), Chennai, India1
Rajalakshmi Engineering college and Research Scholar, VIT university1
Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway1
Institute of Psychology, Heidelberg University, Heidelberg, Germany1
Research School of Computer Science, The Australian National University, Canberra, ACT, Australia1
Center of Research and Development, SenseNets Corporation, Shenzhen, China1
Department of Computer Science, City University of Hong Kong Kowloon, Hong Kong, China1
Kamaraj College Thoothukudi, Tamil Nadu, India1
Sathyabama University, Jeppiar Nagar, Chennai, Tamil Nadu, India1
School of Computer Science and Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China1
Microsoft Research, One Microsoft Way, Redmond, WA1
Media Analytics Department, NEC Laboratories America, Cupertino, CA, USA1
ECE, University of Missouri, Snapchat, Columbia, United States1
School of Electronic Engineering and Computer Science, Peking University, Beijing, P. R. China1
Department of Mathematics, Eastern University, Sri Lanka1
Department of Informatics, King’s College London, Strand, London, UK1
Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, People’s Republic of China1
School of Communication Engineering, Nanjing Institute of Technology, Nanjing, People’s Republic of China1
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, People’s Republic of China1
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China1
Department of Computing, Biometrics Research Centre, The Hong Kong Polytechnic University, Hong Kong1
Automotive IT Platform Research Team, ETRI, Daegu, South Korea1
Department of Computer Engineering, SunMoon University, Asan, South Korea1
University of Bremen1
DeePhi1
Stanford University and DeePhi1
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Ontario, M5S 3GA, Canada1
Howard T. Odum Center for Wetlands, University of Florida, Gainesville, USA1
Ecosurv Environmental Consultants, Maun, Botswana1
Climate Systems Analysis Group, University of Cape Town, Rondebosch, South Africa1
University of Botswana Okavango Research Institute, Maun, Botswana1
Department of Biology, California State University Northridge1
Institute of Statistics Science, Huazhong Agricultural University, Wuhan, China1
School of Mathematics, Sun Yat-sen University, Guangzhou, China1
College of Science, Huazhong Agricultural University, Wuhan, China1
Department of Computer Science, Faculty of Science, Minia University, El-Minia, Egypt1
University of Texas, Texas, USA1
Universitat de Barcelona & Computer Vision Center, Barcelona, Spain1
Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain1
Universitat Autonoma de Barcelona & Computer Vision Center, Barcelona, Spain1
University of Barcelona & Computer Vision Center, Barcelona, Spain1
Institut für Informatik VI, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany1
College of Computer, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China1
Dept. of Comput. Sci., Huaqiao Univ., Quanzhou, China1
Center for Imaging Science, Department of Biomed-ical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
Computer Science, SUNY Stony Brook, Stony Brook, United States1
Rutgers University, USA1
Vision Semantics Ltd, UK1
UMass Lowell-MA, USA1
Daimler A.G, Boeblingen, Germany1
Auckland University of Technology, Auckland, New Zealand1
Department of Computer Science, Periyar University, Salem, India1
Department of Computer Science, Pontificia Universidad Catolica de Chile1
Department of Electronic Engineering, National Taipei University of Technology, Taiwan1
Mitsubishi Electr. Res. Lab., Cambridge, MA, USA1
Oakland University, Rochester, MI1
Brunel University, UK1
School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China1
National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, WA, Australia1
School of Engineering and Information Technology, Murdoch University, Murdoch, WA, Australia1
Elektrik-Elektronik Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Bilgisayar Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Department of Mechanical Engineering, PurdueSchool of Engineering and Technology, IUPUI, USA1
Biomedical Signal Processing Laboratory, National Electronics and Computer Technology Center, Pathumthani, Thailand1
Elektrik-Elektronik Mühendisliği, Bölümü Gazi Üniversitesi, Ankara, Türkiye1
Bilgisayar Mühendisliği, Ahmet Yesevi Üniversitesi, Ankara, Türkiye1
Renai College of Tianjin University, Tianjin, China1
Institute for Infocomm Research (I2R) Visual Computing Department, Singapore 138632, Singapore1
College of Computer and Information Science, Northeastern University, Boston, USA1
Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands1
The Pennsylvania State University1
Disney Research1
National Institute of Advanced Industrial Science Technology, Japan1
Department of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada1
College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang1
Industrial Technology Research Institute, China1
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China1
School of Information Science, Computer, and Electrical Engineering (IDE), Halmstad University, P.O.Box 823, SE-301 18, Halmstad, Sweden1
TecNM Instituto Tecnológico de Ensenada, Ensenada, Mexico1
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ensenada, Mexico1
Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, Mexico1
TecNM - Instituto Tecnológico de Tijuana, Calzada Del Tecnológico S/N, Fraccionamiento Tomas Aquino, Tijuana, Mexico1
Chiba Institute of Technology, Japan1
School of Information Science and Technology, Shandong Normal University, Jinan, China1
Mechatronics Group, University of Auckland, Auckland, New Zealand1
Visual Information Technologies, Jacobs University Bremen, Bremen, Germany1
School of Engineering, Auckland University of Technology, Auckland, New Zealand1
ESTIA, Bidart, France1
Institut Mines-Télécom, Télécom SudParis, Evry Cedex, France1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Famagusta, North Cyprus1
Department of Electrical and Electronic Engineering, Eeastern Mediterranean University, Famagusta, North Cyprus1
Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina1
Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil1
Department of Electrical & Computer Engineering - Democritus University of Thrace, Greece1
Département Electronique et Physique, Institut National des Télécommunications, 9 Rue Charles Fourier, 91011 Evry France. Bernadette.Dorizzi@int-evry.fr1
School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea1
CS Dept., UFMG, Brazil1
Argonne National Laboratory, USA1
Stony Brook University, USA1
KAUST Visualizatioin Core Lab., Thurwal, Saudi Arabia1
California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, USA1
VRVis Zentrum für Virtual Reality and Visualisierung, Vienna, Austria1
Department of Computer Science and Engineering, University of Colorado at Denver, Denver, USA1
Department of Computer Science, University of California at Irvine, Irvine1
Department of Computer Science, University of Nevada, Reno, USA1
Laboratoire Jean Kuntzmann, Grenoble, France1
Electrical and Electronics Engineering Department, Eskisehir Osmangazi University, Eskisehir, Turkey1
Department of Computer Engineering, Umm Al-Qura University, Makkah, Saudi Arabia1
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park1
Center for Automation Research, UMIACS, University of Maryland, College Park1
Digital Signal Corporation1
Department of ECE, Siddaganga Institute of Technology, Tumakuru-572103, India1
Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado1
Department of ECE, PES University, Bengaluru-560085, India1
Department of Electrical and Computer Engineering, Khalifa University of Science Technology & Research, Sharjah, United Arab Emirates1
Pasadena, USA1
Faculty of Information Sciences and Engineering, Management and Science University, Selangor, Malaysia1
UTM-Big Data Center, Universiti Teknologi Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia1
Ryerson Multimedia Research Laboratory, Ryerson University, Canada1
School of Computer, Beijing Information Science and Technology University, Beijing, China1
The Experimental Teaching Center of Electronics information and Control, School of Automation, Beijing Information Science and Technology University, Beijing, China1
Chinese Academy of Sciences, Xi'an, Shaanxi, P.R. China1
OpenLab, School of Computing Science, The University of Newcastle, Newcastle upon Tune, United Kingdom1
Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA, 021151
College of Computer & Information Sciences, Northeastern University, Boston, MA, 021151
Research, MVTec Software GmbH, Munich, Germany1
Faculty of Informatics, Technical University of Munich, Munich, Germany1
Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong1
Department of Mathematics, University of Houston, Houston, TX 77204, USA1
Surf Sara BV, Science Park 140, Amsterdam, The Netherlands1
Multi-Agent Intelligent Simulation Laboratory (MISL), Mahasarakham University, Thailand1
Institute for Information and System Sciences, Science and Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China1
School of Information Science and Technology, Yunnan Normal University Kunming, 650092, China1
University of St Andrews, St Andrews, United Kingdom1
Samsung Electronics1
Key Lab. of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, China1
School of Economics and Management, University of Chinese Academy Sciences, Beijing, China1
Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, Beijing, China1
Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China1
Sun Yat-sen University, Guanghou, China1
Forensics and Security Lab, Division of Computing Systems, School of Computer Engineering, Nanyang Technological University, Singapore, Singapore1
Robotic Center, Mines ParisTech, 75272, France1
Honda R&D Co., Ltd, Wako, Japan1
Department of Intelligent Multimedia, ISIR of Osaka University, Osaka, Japan1
The State Key Lab of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China1
West Virginia University, Morgantown, WV1
Ajou Univ.1
School of Information Technology, Halmstad University, Halmstad, Sweden1
Nokia Bell-Labs, Madrid, Spain1
HCL Technologies Ltd. Chennai, Tamilnadu1
Department of Electronics Engineering, Pusan National University, Busan, Korea1
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China1
Computer and Information Technology, Beijing Jiaotong University, Beijing, China1
Aerosp Mech & Manuf Eng, RMIT University, Melbourne, Vic, Australia1
School of Computer Science, University of Birmingham, Birmingham, United Kingdom1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China; Institute of Computing Technology, CAS, 100080, China. wgao@jdl.ac.cn1
Institute of Computing Technology, CAS, 100080, China. clwang@jdl.ac.cn1
Institute of Computing Technology, CAS, 100080, China. xlchen@jdl.ac.cn1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China. wangqi@jdl.ac.cn1
Leibniz Universität Hannover & German National Library of Science & Technology (TIB), Hannover, Germany1
University of Chinese Academy of Sciences, Beijing, People’s Republic of China1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, People’s Republic of China1
The University of Texas at Austin, Austin, USA1
Faculty of Engineering, Computer Engineering Department, Akdeniz University, Dumlupinar Bulvari, Turkey1
IRCICA, Parc Scientifique de la Haute Borne, Lille 1 University, Villeneuve d’Ascq, France1
School of Computer Science, University of Adelaide, Adelaide, Australia1
Department of Computer Science, University of Bath, Bath, UK1
Data and Analytics Department, KPMG AGWPG, Düsseldorf, Germany1
Department of Electrical and Computer Engineering, National University of Singapore1
School of Software, Beijing Institute of Technology, China1
School of Electronics Engineering and Computer Science, Peking University, Peking, China1
University of Ulm, Universität Ulm, Ulm, Germany1
College of Computer Science, Chongqing University, 400030, China1
College of software, Chongqing University of Posts and Telecommunications, 400065, China1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China and Department of Mathematics, Menoufia University, Egypt1
Computer Science Dept., Columbia University, USA1
Computer Science Dept., SUNY Stony Brook, USA1
The Graduate University for Advanced Studies (Sokendai), Japan1
Psychological Research and Consulting Center, Southwest Jiaotong University, Chengdu, China1
Weizmann Institute of Science1
Rensselaer Polytechnic Institute1
Robotics and Computer Vision Lab, KAIST, Korea1
LITIS EA 4108, University of Rouen, France1
ICube UMR 7357, CNRS, University of Strasbourg, France1
Computer Vision Team, ARS Traffic & Transport Technology, Trivandrum, India1
Department of Mechatronics Engineering, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia1
Dalian University of Technology, Liaoning Province1
Purdue University, West Lafayette, IN1
Intel Corporation, Santa Clara, CA1
SICK AG, Hamburg, Germany1
Ajou University1
Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany1
Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore1
IRDA Group, ADMIR Laboratory, Rabat IT Center, ENSIAS, CNRST (URAC29), Mohammed V University of Rabat, Morocco1
LRIT, CNRST (URAC29), Mohammed V University of Rabat, Morocco1
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark , NJ, USA1
Microsoft Research , Redmond, WA, USA1
Microsoft Visual Perception Laboratory, Zhejiang University, Hangzhou, China1
Department of IT, UIT RGPV, BHOPAL, India1
Intelligent Technology Laboratory, Dept. of Computer Science & Engineering, Inha University, Incheon, Korea1
Department of Information Technology, Hansei University, Kyonggi, Korea1
School of Mechanical Engineering, Pusan National University, Pusan, Korea1
Department of Automotive Engineering, Seoul National University of Technology, Seoul, Korea1
Chemical, Managerial, Computer and Mechanics Engineering Department, DICGIM, University of Palermo, Italy1
Coll. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China1
School of Software, Sun Yat-Sen University, Guangzhou, China1
Graduate University of the Chinese Academy of Sciences, Beijing, China1
Computer Vision Center, Barcelona1
JiangSu University of Science and Technogly, Zhenjiang, China1
School of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan, China1
Queen’s University, Kingston, Canada1
OMRON Social Solutions Co., LTD, Kyoto 619-0283, Japan1
Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran1
Heilongjiang Bayi Agricultural University, Heilongjiang, China1
University of Portsmouth, Portsmouth, UK1
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China1
Department of Mathematics, Wayne State University, Detroit, MI, USA1
Department of Computer Science, Illinois Institute of Technology, Chicago, U.S.A.1
LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France1
Laboratory of LAGE, University of Ouargla, Algeria1
Artificial Intelligence Key Laboratory, of Sichuan Province, Zigong, Sichuan, 643000, P. R. China1
School of Big Data and Computer, Science, Guizhou Normal University, Guiyang, Guizhou, 550025, P. R. China1
University of California Irvine, Irvine1
COMSATS Institute of Information Technology, Lahore, Pakistan1
Department of Electrical (Telecom) Engineering, NUST Military College of Signals, Islamabad, Pakistan1
Department of Computer and Information Sciences, Pakistan Institute of Engineering & Applied Sciences, Islamabad, Pakistan1
Research & Technology Center, North American Robot Bosch LLC, 2835 East Carson Street Suite 210, Pittsburgh, 15203, USA1
Media Research Department, Center for Technology Innovation - System Engineering, Hitachi, Ltd., 1-280 Higashi-koigakubo, Kokubunji, Tokyo 185-8601, Japan1
Department of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom1
Department of Electrical Engineering, University of Souk-Ahras, Souk-Ahras, Algeria1
IDI, Norwegian University of Science and Technology (NTNU), Trondheim, Norway1
Santa Clara University, Santa Clara, USA1
Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic1
Department of Electrical and Computer Engineering, Duke University, NC, USA1
Department of Computer Science, Prince Sultan University, Riyadh, Saudi Arabia1
School of Science, Jimei University, Xiamen, Fujian 361021, China1
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China1
Research Groups on Intelligent Machines, University of Sfax, Sfax, Tunisia1
Georgia Tech Institute for Robotics and Intelligent Machines, USA1
Faculty of Engineering, Washington University St. Louis, USA1
College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China1
School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China1
Department of Electrical Engineering Amirkabir University of Technology, Tehran, Iran1
Department of Information Processing Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology Yokohama 226-8503, Japan1
Faculdade de Engenharia da Universidade do Porto (FEUP), Campus da FEUP, Porto, Portugal1
INESC TEC, Campus da FEUP, Rua Dr. Roberto Frias, Porto, Portugal1
Intel Corp., 4600 S. Dobson Road, Chandler, AZ 852481
Dept. of Artificial Intelligence, Faculty of Computer Engineering, University of Isfahan, Iran1
School of Communication & Information Engineering, University of Electronic Science and Technology of China, Chengdu, China1
TALP-UPC, Jordi Girona 1, 08034 BARCELONA, SPAIN1
E. U. P. Mataró, Avda. Puig Cadafalch 101, 08303 MATARO, SPAIN1
Key Laboratory of Road and Traffic Engineering, Ministry of Education, National Engineering Laboratory for Integrated Optimization of Road Traffic and Safety Analysis Technologies, Tongji University1
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, South Korea1
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea1
Toyota Central R&D Lab., Inc., Nagakute, 480-1192 Japan1
Electronics advanced development department, Toyota Motor Corporation, Toyota, 471-8571 Japan1
Osaka Institute of Technology, Osaka, 535-8585 Japan1
KU Leuven, ESAT PSI, iMinds, Leuven, Belgium1
General Electric Global Research, Niskayuna, NY, USA1
Temple University, Dept. of Electrical and Computer Engineering, Philadelphia, PA1
Rochester Institute of Technology, Dept. of Electrical and Microelectrical Engineering, Rochester, NY1
LIRIS, UMR 5205 CNRS, INSA-Lyon, F-69621, France1
Orange Labs, R&D, Meylan, France1
Universidad Nacional de San Agustín, Arequipa, Perú1
Computer Science Department, Federal University of Ouro Preto (UFOP), Ouro Preto, Minas Gerais, Brazil1
Universidad Católica San Pablo, Arequipa, Perú1
Institute of Information Science and Technologies, National Research Council, Pisa, Italy1
Institute of Structure of Matter, National Research Council, Rome, Italy1
General Motors Advanced Technical Center, Israel1
Department of Information Systems, University of Haifa, Israel1
Department of Computer Science, University of Haifa, Israel1
Institute for Information Industry, Smart Network & System Institute 7F, No. 133, Sec. 4, Minsheng E. Rd., Taipei 105, Taiwan, R.O.C.1
Beta Robots, Barcelona, Catalunya, Spain1
State Grid Inner Shizuishan Power Supply Company, Shizuishan, 753000, China1
School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China. luckzpz@seu.edu.cn1
School of Information Science and Engineering, Southeast University, Nanjing, 210096, China. summer@seu.edu.cn1
Mimetic team, INRIA Rennes, Rennes, France1
University of Applied Sciences Erfurt, Applied Computer Science, Erfurtn, Germany1
Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea1
Purdue University, 465 Northwestern Avenue, West Lafayette, IN 47907, USA1
Military Technical College, Cairo, Egypt1
School of Automation Science and Electrical Engineer, Beihang University, Beijing, China1
Chengdu Productivity Promotion Center, Chengdu 610000, China1
CSE, Park College of Engineering and Technology, Kaniyur, Coimbatore, Tamilnadu, India1
CSE, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India1
Department of Civil Engineering, University of Nottingham, Ningbo 315100, China1
Centre for Advanced Analysis, University College London, London, UK1
Department of Geographical Science, University of Nottingham, Ningbo 315100, China1
International Doctoral Innovation Centre, University of Nottingham, Ningbo 315100, China1
Innovative Information Industry Research Institute, Fujian Normal University, Fuzhou, 350300, China1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjing University), Fuzhou, 350121, China1
Department of Electrical Engineering, National University of Kaohsiung, Taiwan, ROC1
Electronics and Communication Engineering Department, Thiagarajar College of Engineering, Madurai, TN 625015 India1
Microsoft Research Asia, Beijing, China. xitang@microsoft.com1
Microsoft Research Asia, Beijing, China. fangwen@microsoft.com1
Microsoft Research Asia, Beijing, China. rxiao@microsoft.com1
The Chinese University of Hong Kong. wliu5@ie.cuhk.edu.hk1
Shanghai Jiaotong University, China. tydsh@sjtu.edu.cn1
Department of Computer Science, Harbin Institute of Technology, China, 1500011
Department of Computer Science, Kiel University, Germany1
Department of Computer Science & Software Eng., Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China1
Computer Science and Engineering Department, IŞIK University, Şile, Turkey1
Pattern Recognition and Machine Intelligence Laboratory, IŞIK University, Şile, Turkey1
Department of Computer Science and Technology, University of Electronic Science and Technology of China1
Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, China1
Computer Science Department, School of Information Science and Engineering, Xiamen University, Xiamen, China1
National Traffic Safety and Environment Laboratory, Chofu, Tokyo, Japan1
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Shenzhen Wave Group Suzhou R&D center, Suzhou, China1
Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China1
ECE Department, Carnegie Mellon University, USA. kumar@ece.cmu.edu1
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Visual Computing Group, Microsoft Research Asia, Beijing, China. xitang@microsoft.com1
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College of Information Engineering, Shenzhen University, P. R. China1
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Tokyo, Japan1
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Yangzhou University, China; Nanjing University of Science and Technology, China1
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Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden1
Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden1
Department of Computer Scicence and Center for Visualization and Virtual Environments, University of Kentucky, Lexington KY 40507. etienne@cs.uky.edu1
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Department of Computer Science and Engineering, HITEC University, Taxila, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College, Peshawar, Pakistan1
Philips Research Eindhoven Storage Systems and Applications Eindhoven, Netherlands1
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LGI2P, Ecole des Mines Ales, Parc Scientifique Georges Besse, 30035 Nimes cedex 1, France1
Griffith University, Australia1
School of Computer Science, Unmanned System Research Institute, and with the Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an, China1
College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia1
Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India1
Glasgow Caledonian University, Glasgow, United Kingdom1
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Centre for Vision, Speech and Signal Processing, Department of Electronic Engineering, University of Surrey, Guildford, U.K.1
Department of Psychiatry, University of California, San Francisco, San Francisco, USA1
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Department of Cognitive Neuroscience, Radboudumc, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands1
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Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, Netherlands1
Department of Electrical and Computer Engineering, Cornell University, USA1
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Google Inc., USA1
Centre de Physiques des Particules de Marseille, Aix-Marseille Université, CNRS/IN2P3, Marseilles, France1
Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), University of Louvain, Louvain-la-Neuve, Belgium1
Signal Processing Lab, EPFL, Lausanne, Switzerland1
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Imagine, LIGM, Universite Paris-Est, France1
École Normale Supérieure, France1
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Lane Department of CSEE, West Virginia University, Morgantown, WV 26506, USA1
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Inria Méditerranée, France1
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Cookpad, Inc., Tokyo, Japan1
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Robotics and Microsystem Center, China1
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Collaborative&Innovative Centre for Educational Technology (CICET) Central China Normal University, Wuhan, China1
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School of Electronics Engineering, Kyungpook National University, Republic of Korea1
University of Bolton, Bolton, UK1
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China-ASEAN Research Institute of Guangxi University, Nanning, China1
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Shenzhen Key Laboratory of Data Vitalization, Research Institute in Shenzhen, Beihang University, Shenzhen, China1
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School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu 611731, China1
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Istituto Italiano di Tecnologia & Università di Verona, Genova, Italy1
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State key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China1
National Engineering Research Center for Multimedia Software and the School of Computer, Wuhan University, Wuhan, China1
Office of Safety Research and Development, Federal Highway Administration, U.S. Department of Transportation, Virginia, USA1
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj - Napoca, Romania1
Pattern Analysis and Machine Intelligence Lab, Discipline of Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India1
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School of Mechatronical Engineering and Automation, Shanghai University, Shanghai, People’s Republic of China1
Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, Germany1
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College of Mathematics and Informatics, South China Agricultural University, China1
SET Corporation, Arlington, VA, USA1
College of Applied Science, Beijing University of Technology, China1
PRIS Lab of Beijing University of Posts and Telecommunications, Beijing 100876; Chongqing Three Gorges University, Chongqing 404000. E-mail: niexf@tom.com1
Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland1
Department of Electrical EngineeringComputer Vision Laboratory, Linköping University, Linköping, Sweden1
IBM Research1
Engineering Department, Raja University of Qazvin, Iran1
School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China1
B-DAT Laboratory, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China1
Department of Electrical & Computer Engineering, Ryerson University, Toronto, Canada1
Military Transportation University, Tianjin, China1
Department of Psychology and York Neuroimaging Centre, University of York, York, United Kingdom1
Adobe Systems, Inc.1
Mainz University, Germany1
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University of Arizona, Tuscon, AZ, USA1
University of Miami, Coral Gables, FL, USA1
Honda Research Institute Europe GmbH, Offenbach, Germany1
Department of Computer Science and Engineering, International Islamic University Chittagong, Bangladesh1
Hong Kong Baptist University and BNU-HKBU United International College1
Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China1
Computer Vision and Machine Learning Research Group, School of Engineering, University of Central Lancashire, Preston, UK1
Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy1
School of Information Science and Technology, ShanghaiTech University, Shanghai, China1
Institute of System Engineering and Control, Beijing Jiaotong University, Beijing, China1
Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong1
Xi'an Shiyou University, China1
Xi'an University of Technology, China1
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China1
Computer Science Department, University of Illinois at Urbana–Champaign, Champaign, IL, USA1
College of Computer Sciences, Zhejiang University, Zhejiang, China1
Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, China1
Dept. of Computer Science and Information Eng., National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan1
State Grid Zhejiang Xianju Power Supply Co., Ltd, Taizhou, China1
State Grid Zhejiang Electric Power Research Institute, Hangzhou, China1
Sharif University of Technology, Iran and iMinds, Gent University, Belgium1
Kontrol Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey1
MERC, Department of Computer Science, City University of Hong Kong, Hong Kong, People’s Republic of China1
NERCMS, Computer School of Wuhan University, Wuhan, People’s Republic of China1
Collaborative Innovation Center of Geospatial Technology, Wuhan, People’s Republic of China1
State Key Laboratory of Software Engineering, School of Computer of Wuhan University, Wuhan, People’s Republic of China1
Beijing Key Laboratory of Digital Media, School of Computer Science and Technology, Beihang University, Beijing, China1
Shenzhen Key Lab for CVPR, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China1
Graduate School at Shenzhen, Tsinghua University Shenzhen, China1
The University of North Carolina at Chapel Hill, Chapel Hill, USA1
Bundeswehr University Munich, Neubiberg, Germany1
Department of Radiology, The Shenzhen No. 3 People's Hospital, Guangdong Medical College, Shenzhen, China1
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Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA1
Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA1
CNRS LTCI; Télécom ParisTech1
Institut Mines-Télécom; Télécom ParisTech; CNRS LTCI1
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Infosys Limited, Bhubaneswar, India1
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Polytechnic Military Institute, Bp17 Bordje El Bahri Algeria1
Informatics Laboratory of Paris6 (LIP6)1
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School of Software Engineering, Xi'an jiaotong University, Xi'an, China1
Department of Computer Science, Loughborough University, Loughborough, U.K.1
Libera Universit di Bolzano-Bozen, Itally1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Xili, Shenzhen, People’s Republic of China1
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan1
Goethe University, VSI Lab, Frankfurt, Germany1
IPSRC, Waseda University, Kitakyushu, Japan1
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Intelligent Recognition and Image Processing Lab. (IRIP), Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China1
Harbin Institute of Technology Shenzhen Graduate School, University Town, Shenzhen, China1
College of Economics, Shenzhen University, Shenzhen, China1
Computer Vision Research Group, School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia1
Department of Electrical Engineering, Faculty of Engineering, Urmia university, Urmia, Iran1
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University of Rijeka, Faculty of Engineering, Croatia1
Centrum Wiskunde & Informatica (CWI), The Netherlands1
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Amazon, USA1
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Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand1
LEAD Graduate School and Research Network, University of Tübingen, 72074 Tübingen, Germany1
Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany1
Olaworks, Inc., Seoul, Republic of Korea1
Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea1
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NTT Service Evolution Laboratories, Kanagawa, Japan1
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School of Automation and Electrical Engineering, Faculty of University of Science & Technology Beijing, Beijing 100083, China1
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Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA1
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Identity, Privacy and Security Institute, Department of Electrical and Computer Engineering, University of Toronto, ON, Canada, M5S 2E41
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Telecom Division, Centre de Developpement des Technologies Avancees, Algiers, Algeria1
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China1
Computer Vision Laboratory, DAP, Universita di Sassari, Alghero 07041, Italy1
University of California, San Diego, San Diego, CA, USA1
Collaborative Innovation Center of International Dissemination of Chinese Language Henan Province (HNIDCL), Henan, China1
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School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China1
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Daimler AG Sindelfingen, Germany1
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Thales Land and Air Systems, Élancourt, France1
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LIFL (UMR CNRS 8022), Institut Mines-Télécom/TELECOM, Lille 1, France1
California State University, Bakersfield, CA, USA1
School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
University of Houston, Houston, TX, China1
School of Information Science and Electronic Engineering, The University of Queensland, Brisbane, QLD, Australia1
Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, USA1
School of Computer Science, University of Electronic Science and Technology of China, Chengdu, China1
Institute for Infocomm Research Agency for Science, Technology and Research (A∗STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 1386321
Regional Centre IHRD, Thiruvananthapuram, India1
Department of E.C.E, JNTUACE, Ananthapuramu, India1
Department of E.C.E, MITS, Madanapalle, India1
Department OF E.C.E, JNTUA, Ananthapuramu, India1
Multimodal Communication and Computation, University of Southern California, Playa Vista, USA1
Universität Ulm, Ulm, Germany1
University of Technology Sydney, Sydney, NSW, Australia1
SAP Innovation Center Network, Singapore1
Agency for Science, Technology and Research, Institute of High Performance Computing, Singapore1
Department of Computer Science, Effat University, Jeddah, Saudi Arabia1
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. venu@cedar.buffalo.edu1
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. zhizhang@cedar.buffalo.edu1
CUBRC, Buffalo, NY, USA. slowe@cubrc.org1
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. tulyakov@cedar.buffalo.edu1
University of Denver, Colorado USA1
Tübitak Bilgem İltaren, Ankara, Türkiye1
NICTA / Australian National University, Canberra, Australia1
Australian National University / NICTA, Canberra, Australia1
Dept. of Computer and Communication Systems Eng., Faculty of Engineering, University Putra Malaysia, 43400, Serdang, Selangor, Malaysia1
Department of Computer Science, Faculty of Science, University of Sebha, Sebha Libya1
Department of Software Technology and Enterprize, Korea University, Seoul, Republic of Korea1
University of St. Andrews, UK1
School of Computer, Beijing University of Posts and Telecommunications, Beijing, China1
School of Information, Singapore Management University, Singapore1
Agency for Science, Technology and Research, Singapore1
Fraunhofer IAIS, Germany1
University of Turin, Turin, Italy1
Dept. of Information Engineering, Xiangtan Vocational Technical College, 411102, China1
ECE Department, Carnegie Mellon University, USA. jheo@.cmu.edu1
Department of Mathematics and Statics, Hanshan Normal University, Chaozhou, China1
Department of Computer Science and Engineering, Hanshan Normal University, Chaozhou, China1
Department of Computer Science and Engineering, Texas A&M University, College Station, U.S.A.1
School of Computer Science and Informatics, Cardiff University, Cardiff, U.K.1
Advanced Computing Research Laboratory, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Dept. of Computer Engineering Kuwait University1
Dept. of Electrical & Computer Engineering, Sultan Qaboos University1
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3. 10000 Zagreb, Croatia1
Research Center for Informatics, Indonesian Institute of Sciences, Jl. Jend. Gatot Subroto 10, Jakarta, Indonesia1
Department of Computer Engineering, Mahanakorn University of Technology, Bangkok, THAILAND, 105301
The Computer Engineering Graduate Program, Faculty of Engineering, Mahanakorn University of Technology, Bangkok, THAILAND, 105301
Tencent, Shanghai, China1
Osaka University, Osaka Prefecture, Japan1
Clarkson University, Potsdam, New York1
Institute of Semiconductors, Chinese Academy of Sciences&University of Chinese Academy of Sciences, Beijing, China1
CNRS-LTCI, GET-ENST, 46 rue Barrault, 75013 Paris, France1
Guangzhou HKUST Fok Ying Tung Research Institute, The Hong Kong University of Science and Technology1
Minzu University of China, Beijing, China1
Nokia Bell Labs, Murray Hill, NJ, USA1
University College London, UK, Dept. of Electronic and Electrical Engineering1
UT Austin Computer Science Dept., TX 78712, USA1
UC Berkeley EECS and ICSI, CA 94720, USA1
Jiangsu Department of Water Resources, Nanjing, China1
Consiglio Nazionale delle Ricerche, Istituto di Calcolo e Reti ad Alte Prestazioni, Viale delle Scienze, 90128 Palermo, ITALY1
School of Information Technology and Electrical Engineering, The University of Queensland, Queensland, Australia1
Department of Computer Science, Texas State University, San Marcos, USA1
School of Computer Science, The University of Adelaide, Adelaide, Australia1
IDscan Biometrics Ltd, London E14 9QD, UK1
School of Mathematical Sciences, DUT-RU International School of Information and Software Engineering, Dalian University of Technology, Dalian, China1
University of Valenciennes, Valenciennes, France1
Computing Department, Imperial College London, UK. M.Pantic@imperial.ic.ac.uk1
Computing Department, Imperial College London, UK. M.F.Valstar@imperial.ic.ac.uk1
School of Computer Engineering, Hanshin University, Osan, Republic of Korea1
Yokohama National University, Yokohama, Japan1
Hokkai Gakuen University Sapporo, Japan1
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pompeu Fabra - UPF and Institució Catalana de Recerca i Estudis Avanats - ICREA, Roc Boronat, 138 - 08018 - Barcelona, Spain1
Robotics Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia - IIT, Via Morego, 30 - 16163 - Genova, Italy1
School of Internet of Things Engineering, Jiangnan University, Wuxi, People’s Republic of China1
Software Engineering Laboratory, Department of Computer Software, University of Aizu, Fukushima, Japan1
Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Saga, Japan1
College of Mathematics and Information Science, Wenzhou University, Wenzhou, China1
School of Economics, Beijing Technology and Business University, Beijing, China1
Johns Hopkins University1
Image and Video System Laboratory, Information Communication University, Korea1
Mobile Intelligent Autonomous Systems, Modelling and Digital Sciences, Council for Scientific and Industrial Research, South Africa1
Development Research Institute of Guangzhou Smart City, Guangzhou, China1
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China1
Toyota Research, Los Altos, CA, USA1
School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia1
Shanghai Advanced Research Institute, CAS & Qiniu AI Lab, Shanghai, China1
Dept. of Electronic Engineering, Tsinghua University, Beijing, P.R. China1
School of Computer ScienceThe University of Adelaide1
Instituto de Sistemas e Robótica, Instituto Superior Técnico, Lisboa, Portugal1
Comput. Control Lab, Nanyang Technol. Univ., Singapore1
University of Lyon, LIRIS - CNRS, National Institute of Applied Sciences (INSA), Lyon, France1
Automotive BU, RT-RK Computer-Based Systems LLC, Novi Sad, Serbia1
Curtin University, Perth, WA, Australia1
University of Central Florida, Orlando, FL, USA1
China University of Mining and Technology, Beijing, China1
Department of Computer Science and Engineering, The Ohio State University, Columbus, USA1
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, USA1
School of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK1
AT&T Labs Research, Middletown - NJ1
Dept. of Electronic Engineering, Tsinghua University, Beijing, China1
Carnegie Mellon University NASA Research Park #23, Moffett Field, CA 940431
The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China1
Faculty of Computers and Information, Ain Shams University, Cairo, Egypt1
Psychology at The University of Texas at Austin, 78712, USA1
National Key Laboratory of Parallel and Distributed Processing, Changsha, China1
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China1
Université Technologique de Compi`egne, 60200, France1
University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Tržaška 25, 1000, Slovenia1
Computer Science Dept., College of Computing and Information Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt1
Shenzhen Graduate School, Harbin Institute of Technology, Bio-Computing Research Center, Shenzhen, China1
Department of Mathematics, National University of Singapore, Singapore1
The Wellcome Trust Centre for Neuroimaging, UCL, 12 Queen Square, London WC1N 3BG, UK1
School of Computer Science and Technology, Anhui University of Technology, Ma’anshan, People’s Republic of China1
State Key Laboratory of Robotics, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China1
College of Information Engineering, Capital Normal University, Beijing,, China1
Advanced Digital Sciences Center, University of Illinois at Urbana-Champaign, 08-10, 1 Fusionopolis Way, Connexis North Tower, Singapore, Singapore1
School of Software, Dalian University of Technology, 116620, China1
Department of Advanced Engineering Daimler Trucks, Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany1
Institute of Industrial Information Technology, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany1
Department of Computer Science, University of Freiburg, Germany1
JENOPTIK Optical Systems GmbH, Jena, Germany1
IBM Research - Almaden, San Jose, CA, USA1
UC San Diego, La Jolla, CA, USA1
School of Computer Science and Statistics, Trinity College, Dublin, Ireland1
Dipartimento di Scienze Umane, Università della Basilicata, Italy1
Istituto Nazionale di Geofisica e Vulcanologia, Sez. di Napoli Osservatorio Vesuviano, Italy1
Singapore Polytechnic, 500 Dover Road, Singapore 1396511
Singapore University of Technology and Design, 20 Dover Road, Singapore 1386821
University of Surrey, Guildford, United Kingdom1
UIB – Universitat de les Illes Balears, Palma de Mallorca, Spain1
Department of Image and Information Processing (ITI), Telecom-Bretagne, Brest - France1
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu Beijing 100080, China1
Information Directorate, Air Force Research Laboratory, Rome, NY, USA1
Applied Soft Computing Lab, School of Computer Science and Engineering, Korea University of Technology and Education, Republic of Korea1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Malaysia1
University of Central Florida 4000 Central Florida Blvd., Orlando, 328816, USA1
Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213, USA1
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, China1
Applied Statistics Laboratory, San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA1
PerceptIn1
Dept. of Electr. & Info. Eng., Zhejiang Univ., Hangzhou, China1
College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China1
UBTECH Sydney Artificial Intelligence Centre, Faculty of Engineering and Information Technologies, School of Information Technologies, The University of Sydney, Sydney, NSW, Australia1
Union Visual Innovation Technology Co., Ltd., Shenzhen, China1
Department of Health Sciences, University of Leicester, UK, LE5 4PW1
Paris-Sud,Université Paris-Saclay, Orsay, France1
Université Paris-Saclay, Orsay, France1
Department of Computer Systems, Universidad Politécnica de Madrid, Madrid, Spain1
Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Zhejiang, China1
College of Computer Science, Zhejiang University, Zhejiang, China1
Telecom-Lille1, Lille, FRANCE; boulbaba.benamor@telecom-lille1.fr1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; johan.dhose@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; guerfi@iut.unif-evry.fr1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; chaari@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; mohamed.anouar_mellakh@it-sudparis.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; emine.krichen@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; mohsen.ardabilian@liris-edu.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; bernadette.dorizzi@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; liming.chen@liris-edu.eu1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; joseph.colineau@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; s.lelandais@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; dijana.petrovska@it-sudparis.eu1
Institute of Data Science and Technology, Shandong Normal University, Jinan, China1
Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria1
Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Liège, Liège, Belgium1
Criminal Intelligence Unit, Ohio Bureau of Criminal Identification and Investigation, Youngstown , OH, USA1
Department of Arts, Youngstown State University, Youngstown, OH, USA1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Material Handling and Logistics Systems1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Networked Systems and Services1
National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, 1-1-1 Higashi, Ibaraki 305-8566, Japan1
School of Information Science and Engineering, Yunnan Unversity, Yunnan, China1
School of Electronic and Information Engineer, South China University of Technology, Guandong, China1
VIT University, India1
Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China1
The University of Tokushima, Tokushima 770-8506, Japan; School of Information Engineering, Beijing University of Posts and Telecommunications Beijing 100876, China1
The University of Tokushima, Tokushima 770-8506, Japan. Email: kuroda@is.tokushima-u.ac.jp1
Centre for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland1
Department of Computer Science, Middlesex University London, London, UK1
Department of Computer Science, University of Exeter, Exeter, UK1
University “Politehnica”, Bucharest, Department of Telecommunications, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
ECE Department, Northeastern University, Boston, MA, USA1
ETH Zürich, Zürich1
Teleinfrastructure R&D Lab, Technical University of Sofia, Bulgaria1
Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India1
Princeton University &Microsoft, Princeton, NJ, USA1
Microsoft &University of Washington, Redmond, WA, USA1
Dept. de Computación, Universidad Simón Bolívar, Caracas, Venezuela1
University of Balamand, Souk El Ghareb, Lebanon1
University Pau & Pays Adour, LIUPPA, EA3000, Anglet, France1
University Pau & Pays Adour, LIUPPA, EA3000, Mont De Marsan, France1
Collaborative Innovation Center of Novel Software Technology and Industrialization, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
Center for Research in Intelligent Systems, University of California at Riverside, Riverside, CA, USA1
Department of Computer Science, University of California at Riverside, Riverside, CA, USA1
Shahrood University of technology, Shahrood, Iran1
Iran University of Science and Technology, Tehran, Iran1
Institute of Information Technology and Network Security, People’s Public Security University of China, Beijing, China1
University of Helsinki, Finland1
Robert Bosch GmbH, Abstatt, Germany1
OFFIS, Oldenburg, Germany1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213. Marios.Savvides@ri.cmu.edu1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213. sungwonp@andrew.cmu.edu1
Motilal Nehru National Institute of Technology, Allahabad, India1
The University of Electro-Communications, Tokyo, Japan1
Systems Research Institute, Polish Academy of Sciences, 6 Newelska Street, 01-447 Warsaw, Poland1
Research Center for Smart Vehicles, Toyota Technological Institute, Hisakata, Nagoya, Aichi, Japan1
Toyota Central R&D Labs., Inc., Nagakute, Aichi, Japan1
CICATA Querétaro, Instituto Politécnico Nacional, Querétaro, Mexico1
Seoul National University, Suwon, Gyeonggi-do, Rebublic of Korea1
Seoul National University, Suwon-si, Gyeonggi-do, Rebublic of Korea1
Miami University1
ICMC-USP, São Carlos, São Paulo, Brazil1
Dep. Computer Science and Statistics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil1
Adjunct, Effat University, Jeddah, Saudi Arabia1
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, USA1
School of Computer Science, Wuyi University, Jiangmen, China1
University of Tsukuba, Tsukuba City, Ibaraki, Japan1
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia1
Department of Complex Systems, Computer Center, Russian Academy of Sciences, Moscow, Russia1
Center for Advanced Studies in Identity Sciences, Clemson University1
Center for Advanced Studies in Identity Sciences, The University of North Carolina at Wilmington1
School of Computer Engineering, Nanyang Technological University, Singapore. astjcham@ntu.edu.sg1
School of Computer Engineering, Nanyang Technological University, Singapore. mtpham@ntu.edu.sg1
Fakulti TeknologiDan Sains Maklumat, UKM, Bangi, 43600 Selangor, Malaysia1
Fakulti Teknologi Maklumat Dan Sains, Kuantitatif, UiTM, Shah Alam, 40000, Selangor, Malaysia1
Bilişim Teknolojileri Enstitüsü, Tübitak BİLGEM, Kocaeli, Türkiye1
National defense acquisition and system engineering management, National University of Defense Technology, Changsha, Hunan, P.R. China1
Department of Electronics and Communication Engineering, Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh1
School of Computer Science and Software Engineering, University of Western Australia, Crawley, Australia1
College of Engineering & Computer Science, Australian National University, Canberra, Australia1
Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), Canberra, Australia1
Human-Centered Technology Research Centre, University of Canberra, Bruce, Australia1
Centre de Mathématiques et de Leurs Applications, Ecole Normale Supérieure de Cachan1
University of Western Australia, Perth, WA6009, Australia1
Computing, School of Science and Engineering, University of Dundee, Dundee, UK1
Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK1
UCSD, San Diego, USA1
Oxford University, Oxford, UK1
CCCE & CS, Nankai University, Tianjin, China1
Karlsruhe Institute of Technology (KIT), Germany1
Istanbul Technical University (ITU), Turkey1
Laboratory of Electronics (EμE), FSM, Monastir, Tunisia1
Le2i, UMR CNRS 5158, University of Burgundy, Dijon, France1
CES Laboratory, ENIS, University of Sfax, Sfax, Tunisia1
School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Sydney, NSW, Australia1
Centre for Artificial Intelligence and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Center for Visual Computing, Ecole Centrale de Paris, France1
Electrical Engineering and Computer Science, School of Engineering, University of California at Merced, Merced, USA1
School of New Media Art and Design, Beihang University1
Institute of Informatics, University of Szeged Arpád tér 2, 6720 Szeged, Hungary1
School of Mechanical & Electrical Engineering, Longyan University, Fujian, China1
Department of Audit, Jiaying University, Guangdong, China1
School of Computer, Jiaying University, Guangdong, China1
Dept. of Electrical and Computer Engineering University of Illinois Urbana-Champaign (UIUC)1
Center for Development of Advanced Computing, Mumbai, India1
Computational Imaging Laboratory, School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA1
College of Computer Science & Technology, Huazhong University of Science and Technology, Wuhan, 430074, China1
Institute of Systems Engineering, Southeast University, Nanjing, China1
Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, UK1
ETH Zurich, Zurich and ESAT-PSI/IBBT, KU Leuven1
RWTH Aachen University, Aachen1
LiberoVision AG, Zurich1
Department of Computer Science and Networked Systems, Sunway University, Subang Jaya, Malaysia1
MMA Laboratory, National Institute of the Applied Sciences and Technology, Carthage University, Tunis, Tunisia1
Electrical and Computer Engineering Department, Faculty of Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman1
Digital Research Center of Sfax, Sfax University, Sfax, Tunisia1
Laboratory of Computer and Embedded Systems, National School of Engineering of Sfax, Sfax University, Sfax, Tunisia1
Department of Plastic and Reconstructive Surgery, Indraprastha Apollo Hospital, Delhi, India1
Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA1
Department of Computer Science, ETH Zurich, Switzerland1
School of Sociology, China University of Political Science and Law, Beijing 102249, China1
Department of Electrical Engineering, University of Mohamed Khider, Biskra, Algeria1
University of Sciences and Technology (USTHB) and CERIST, Algiers, Algeria1
Department of Computer Engineering, Computer Science, University of Louisville, Louisville, USA1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Imense Ltd, Cambridge, UK1
Department of Information Technology, Indian Institute of Information Technology, Allahabad, India1
Lehrstuhl für Mustererkennung, FAU Erlangen – Nürnberg, Erlangen, Germany1
Department of Computer Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil1
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam1
Department of Computer Science & Engineering, Visvesvaraya National Institute of Technology, Nagpur, India1
Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China. gqcui@uiuc.edu1
Department of Geography, McGill University, Canada1
PES Center for Pattern Recognition, PESIT - Bangalore South Campus, India1
University of California at Los Angeles (UCLA), Los Angeles, CA1
Massachusetts Institute of Technology (MIT), Cambridge, MA1
San Diego State University (SDSU), San Diego, CA1
National University if Singapore, Singapore, Singapore1
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA1
Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart, Stuttgart, Germany1
Weyond, Princeton, NJ, USA1
School of Information and Computer Sciences, University of California at Irvine, Irvine, CA, USA1
School of Engineering and Information Technology, Deakin University, Geelong, Australia1
CPHHI, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia1
The Institute of Artificial Intelligence and Robotic, School of Electronic and Information Engineering, Xi’an Jiaotong University, Shaanxi, China1
Griffith University, Queensland, Australia1
TAMS, Department of Informatics, University of Hamburg, Hamburg, Germany1
Microsoft1
SMILES Laboratory, School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China1
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India1
SQUALIO Cloud Consulting, Riga, Latvia1
Advanced Diagnostics and Progressive Human Care Research Group, Universiti Teknologi Malaysia, Malaysia1
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia1
Department of Electrical Engineering, Universitas International Batam, Indonesia1
Epson Research and Development Inc., San Jose, CA1
Philips Research Eindhoven, HTC 34, Netherlands1
University at Buffalo, SUNY, NY 14260, USA1
Department of Computer Science & Engineering, University of Washington, Seattle, USA1
Department of Business Planning & Information Systems, TEI of Crete, Agios Nikolaos, Greece1
Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea1
Chinese Academy of Sciences, Institute of Optics and Precision Mechanics, Xi’an, China1
Department of Computer Science and Engineering, University of California, Riverside, CA, USA1
The University of Sheffield, Department of Computer Science, Sheffield S1 4DP, UK. a.samani@dcs.shef.ac.uk1
Yeungnam University, Gyeongsan-si, Korea1
Lockheed Martin Corporation, Orlando, FL, USA1
Institute of Computing, University of Campinas – UNICAMP 13083-852, Campinas, SP – Brazil1
Department of Applied Optics and Photonics, University of Calcutta, 92 APC Road, Kolkata 700009, India1
Key Laboratory for Computer Vision and Pattern Recognition of Xiamen City, Huaqiao University, Xiamen, China1
Multimedia Information Retrieval Lab Delft University of Technology, Netherlands1
University of Applied Sciences Western Switzerland, Sierre, Switzerland1
Dept. Mathematics and Computer Science, UB, Spain1
University of California Berkeley, USA1
NLPR, Institute of Automation, Chinese Academy of Sciences, China1
VNIT Nagpur-India1
Thapar University Patiala-India1
Manipal University Manipal-India1
Manipal University Jaipur-India1
ABV-IIITM Gwalior - India1
Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky USA1
Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, Kentucky USA1
University of Kentucky, Lexington, Kentucky USA1
Department of CSE, Jahangirnagar University, Dhaka, Bangladesh1
Department of CSE., Northern University. Dhaka, Bangladesh1
Department of ECE, East West University, Dhaka, Bangladesh1
College of Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China1
Adobe Research, Bangalore, India1
R. V. College of Engineering, Bengaluru, India1
R.V. College of Engineering, Bengaluru, India1
Department of Computer Science, George Mason University1
A*STAR, Institute for Infocomm Research, Singapore, Singapore1
CVLab, Aragon Institute for Engineering Research, University of Zaragoza, Spain1
Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France1
Math Dept, Faculty of Science, Helwan University, Cairo-Egypt1
ETH Zürich, Switzerland and Microsoft1
MIT CSAIL and ETH Zürich, Switzerland1
Institute of Information and Control, Hangzhou Dianzi University, China1
Centeye, Inc.1
Dep. Enginyeria Electrònica, C/ Colom 1 08222 Terrassa, UPC-CAMPUS TERRASSA, BARCELONA, SPAIN1
School of Computer Science, South China Normal University, Guangzhou, China1
Shaoguan University, Shaoguan, Guangdong, China1
Department of Computer Sciences, Suleyman Demirel University, Almaty, Kazakhstan1
Department of Computational Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea1
Modern Economics & Management College, Jiangxi University of Finance and Economics, Nanchang, China1
Department of Psychological Sciences, Birkbeck College, University of London, UK1
Govt. College of Engineering, Amravati India1
M.I.T. College of Engineering Pune, India1
360 AI Institute, Beijing, China1
Tencent YouTu Lab, Tencent Shanghai, China1
INRIA Grenoble-Rhone-Alpes, Cedex1
Cardiff University, Cardiff, UK1
Newcastle University, Newcastle, UK1
Southampton University, Southampton, UK1
Department of Psychology, Brunel University, School of Social Sciences, Uxbridge, UK1
Department of Psychology, University of Durham, Durham, UK1
School of Information and Control Engineering, Nanjing University of Information Science and Technology, Nanjing, China1
Freie Universität Berlin and Fraunhofer Fokus1
Institute for the Management of Information Systems, R.C. Athena1
Freie Universität Berlin1
Key Laboratory of Optoelectronic Technology and System of Education Ministry, College of Optoelectronic Engineering, Chongqing University, Chongqing , China1
Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China1
Comput. Sci., State Univ. of New York, NY, USA1
LIAMA, CNRS, Key Lab of Machine Perception (MOE), Peking University, Beijing, People’s Republic of China1
UMR CNRS 7253, Heudiasyc, Université de Technologie de Compiègne, Compiègne Cedex, France1
School of Informatics, University of Edinburgh1
Department of Computer Science, IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal1
Bilgisayar Mühendisliği Bölümü, Bilkent Üniversitesi, Ankara, Türkiye1
Council for Scientific and Industrial Research,Pretoria,South Africa1
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong1
Université Grenoble Alpes, CNRS, GIPSA-Lab, Grenoble, France1
Université Grenoble Alpes, CNRS, LIG, Grenoble, France1
Peking University & Shanghai Jaio Tong University, Beijing, China1
Département Images et Signal (DIS), GIPSA-Lab, Domaine Universitaire, Grenoble Cedex, France1
Vesalis, Clermont-Ferrand, France1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China1
National ASIC Design and Engineering Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China1
College of Computer Science, South-Central University for Nationalities, Wuhan 430074, China1
Chinese Academy of Science1
Department of Mechanical & Industrial Engineering, Concordia University, Montreal, Canada1
State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, P.R. China1
Department of Computer and Electrical Engineering, Ryerson University, Toronto, Canada1
Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada1
China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China1
School of Information Technology, Madurai Kamarai University, Madurai, India1
Computer Science and Engineering, Sanjivani College of Engineering, Kopargaon, India1
Computer Science and Engineering, St.Peter’s University, Chennai, India1
Computer Science and Engineering, Panimalar Engineering College, Chennai, India1
Dept. Technology and Nautical Sciences, Aalesund University College, Postboks 1517, N-6025, Norway1
Vision and Image Processing Laboratory, Hanbat National University, Daejeon, South Korea1
Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan1
College of Computer and Information Engineering, Henan Normal University, Xinxiang, China1
SMC Society of IEEE1
Department of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China1
Department of Computer, College of Science, Diyala University, Diyala, 32001, Iraq1
Dept. of CSIE, National Taiwan University, Taipei, Taiwan1
Inst. of Information Science, Academia Sinica, Nankang, Taipei, Taiwan1
School of Economics and Management, Minjiang University, Fuzhou, Fujian, China, 4300731
Department of Electrical and Computer Engineering, Texas A&M University and Monash University, College Station, TX 778431
Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA1
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong1
Department of Information Engineering, Chinese University of Hong Kong1
Department of Information Engineering, Henan University of Science and Technology, Luoyang, China1
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK1
The center for neural computation, Hebrew university of Jerusalem, Israel 919041
Computer Science Division, University of Central Florida, Orlando, FL, USA1
GuangXi Cast Animation Company, Ltd., Nanning, China1
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA1
School of Information Engineering, Xiangtan University, Xiangtan, China1
Centre for Quantum Computation & Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia1
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA1
Department of mechatronic technology of National Taiwan Normal University1
Department of Computer Science, Taipei Municipal University of Education1
Departamento de Informa´tica, Universidad Carlos III de Madrid, Madrid, Spain1
Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China1
University of Southern California, e-mail: uneumann@graphics.usc.edu1
University of Houston, e-mail: zdeng@cs.uh.edu1
University of Southern California / University of Houston, e-mail: sucontph@usc.edu1
Autonomous System Laboratory - CSIRO Digital Productivity Flagship - 1, Technology Court, Pullenvale, QLD, 4066, Australia1
Robotics, Systems and Control Program at ETH Zürich, Switzerland1
School of Computer Science and Technology, Nanjing Normal University, Nanjing, People’s Republic of China1
School of Information Science and Engineering, Changzhou University, Changzhou, People’s Republic of China1
Jiangsu Jinling Sci & Tech Group Co., Ltd, Nanjing 210008, China1
School of Computer Science and Technology, Hubei University of Science and Technology,Wuhan 437100, China, and the Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China1
Department of Engineering Science, University of Oxford, UK1
School of Computing, University of Leeds, UK1
INRIA, WILLOW Project, Laboratoire d'Informatique de l'Ecole Normale Superieure, Paris, France1
Center for Automation Research and the Department of Electrical and Computer Engineering, University of Maryland, College Park, MD1
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ1
Computer Science Dept., Boston University, USA1
Sony Electronics Inc., San Jose, CA, USA1
Center for Ubiquitous Computing, University of Oulu, Oulu, Finland1
School of Computing and Information Systems, University of Melbourne, Melbourne, Australia1
Department of automation, Southeast University, Nanjing, China1
Department of Mechanical and Electronic Engineering, Nanjing Forestry University, China1
National Institute of Pure and Applied Mathematics, Brazil1
Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China1
Research Division, Educational Testing Service, Princeton, NJ, USA1
Department of Psychology, University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy1
FRD, Toyota Research Institute, Ann Arbor, Michigan USA1
FRD, Toyota Research Institute, Ann Arbor, Michigan 48103 USA1
School of Engineering & Applied Science, Aston University, UK1
Malaviya National Institute of Technology, Jaipur, India1
Division of Biomedical Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR1
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shaanxi, P. R. China1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Broadway NSW, Australia1
Department of Cognitive Science, School of Information Science and Technology, Xiamen University, Fujian, P. R. China1
University of York, York, United Kingdom1
University of Technology and Logistics, International Research Institute MICA, Hanoi University of Science and Technology1
Department of Computer Science and Engineering, National Institute of Technology, Srinagar Garhwal, India1
School of Informatic, Linyi University, 276005, China1
Computer Science Department, State University of New York, Stony Brook, NY11794-4400, USA. E-MAIL: wbzhang2k@hotmail.com1
College of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China. E-MAIL: jcmeng@uestc.edu.cn1
Ames HCI Group, Moffett Field1
Schafer Corporation, Arlington1
The University of Texas at Dallas, Richardson1
Science Applications International Corporation, Chantilly1
National Institute of Standards and Technology, Gaithersburg1
Beijing Technology and Business University Beijing, China1
Member, IEEE, Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium1
Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium1
Student Member, IEEE, Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium. e-mail: thomas.fabry@uz.kuleuven.be1
Department of Mathematics, Taiyuan University of Technology, Taiyuan, China1
School of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea1
Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland1
Computer Science and Engineering Department, University of Connecticut, Storrs, CT 06269, USA1
Unit 75719 of the People's Liberation Army, Wuhan, China1
Department of Information Technology, Central China Normal University, Wuhan, China1
Department of Automation, School of Power and Mechanical Engineering, Wuhan University, China1
School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China1
Department of Electrical Engineering, Universidad de Chile, Santiago, Chile1
Zhejiang Normal University, Jinhua, China1
Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia1
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China1
Centre for Brain and Cognitive Development, Birkbeck, University of London, Malet Street, London WC1E 7HX, UK1
Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, India1
Department of Psychology, University of California Santa Barbara, Santa Barbara, CA 93109-9660, USA1
College of Computing & Informatics, Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia1
Department of Computer Science, International Islamic University, Islamabad, Pakistan1
Department of Computer Science and Engineering & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Department of Computer Languages and Systems & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Technion - Israel Inst. of Technology, Haifa, 32000, Israel1
The Open University of Israel, Raanana, 43107, Israel1
Weizmann Institute of Science, Rehovot, 76100, Israel1
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China1
WILLOW project-team, Laboratoire d'Informatique de l'École Normale Supérieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France1
Department of Computer Science, The University of Sheffield, Sheffield, UK1
Automatics Research Group, Universidad Tecnológica de Pereira, Pereira, Colombia1
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School of Information Science and Engineering, Yanshan University, Qinhuangdao, China1
Ecole Nationale Superieure de Techniques Avancés, Palaiseau, France1
Cornell University, Ithaca1
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Robótica y Manufactura Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ramos Arizpe, Mexico1
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The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto , Toronto, Canada1
Carnegie Mellon University,Pittsburgh, PA1
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Department of information and Communication Engineering, Kogakuin University, Japan1
Software Engineering Department, College of Technology, Firat University, Elazig, Turkey1
College of Technology, Firat University, Elazig, Turkey1
Electronic Engineering College, Changchun University, 130022, China1
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Technicolor, Paris, France1
MPI Informatics, Germany1
School of Pharmacy, Wenzhou Medical University, Wenzhou, China1
Department of Computer Science, University of Texas at Austin, Austin, USA1
Department of Computer Science, University of Southern California, Los Angeles, USA1
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Department of Electrical Engineering, The City College of New York, New York, USA1
Machine Vision Group, University of Oulu, PL4500, FI-90014 Oulun yliopisto, Finland1
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore1
Université de Lorraine, LORIA, UMR 75031
Institute of Information Science & Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan1
Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China1
Dept. of Computer Science and Information Engineering, Providence University, Taichung, Taiwan1
Agency for Science, Technology & Research, Institute for Infocomm Research, Singapore1
SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
Tencent AI Lab, Shenzhen, China1
Shenzhen Key Lab on Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
Beijing University of Posts and Telecommunications, E-Commerce Engineering with Law in International School, China1
Beijing Jiatong University, China1
School of Electronic and Information Engg., Beihang University, Beijing 100191, China1
Institute of Informatics and Telecommunications, National Center for Scientific Research - “Demokritos”, Athens, Greece1
Department of Informatics, Ionian University, Corfu, Greece1
School of Control Science and Engineering, Shandong University, Jinan, People’s Republic of China1
University of Twente, Enschede, The Netherlands1
Binghamton University, Vestal, NY, USA1
Dept. of Electron. & Inf. Eng., The Hong Kong Polytech. Univ., China1
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R. China1
Los Alamos National Laboratory Los Alamos, NM 87545, USA1
Technical center for the Mechanical Industry (CETIM), Senlis, France1
College of Information Sciences and Technology and the Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA1
Computer Aided Diagnosis and Therapy Solutions, Siemens Medical Solutions, Inc., Malvern, PA1
Department of Computer and Information Science, University of Mississippi, University, MS1
Academic Plastic Surgery Group, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK1
Shanghai Key Laboratory of Multidimensional Information Processing, Department of Computer Science and Technology, East China Normal University, China, 2000621
Imperial College London, UK1
City University of Hong Kong, Kowloon, Hong Kong1
School of Information Technology & Electrical Engineering, The University of Queensland, Brisbane, Australia1
School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China1
Interdisciplinary Graduate School, Energy Research Institute@NTU, Singapore1
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NOVA LINCS, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Caparica, Portugal1
Division of Design of Intelligent Machines, Center for Development of Advanced Technologies, Algiers, Algeria1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia1
Millennium Information Technologies (MIT) Pvt. Ltd., Sri Lanka1
IT - Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal1
CEFITEC - Centro de Física e Investigação Tecnológica, Faculdade de Ciência e Tecnologia, Caparica, Portugal1
Key Lab of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China1
Georgia Tech Research Institute, Atlanta, 30318 USA1
IA, CAS, Beijing, China1
University of Washington and Google Inc.1
Google Inc.1
Dept. of Electrical Engineering, National Chung Hsing University, Taiwan1
Institute for Deep Learning, Baidu, Sunnyvale, USA1
Department of Engineering Physics, Tsinghua University, Beijing, China1
School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai, China1
NOAA /NGDC, 325 Broadway, Boulder, CO 803051
Institute for Neuroscience and Muscle Research, The Children’s Hospital at Westmead, Sydney, Australia1
Department of Paediatrics, University of Melbourne, Melbourne, Australia1
Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia1
Computer Science at the University of Maryland, College Park, MD 207421
Micro and Nano Devices and Materials Branch in the Sensors and Electron Devices Directorate at the US Army Research Laboratory, Adelphi, MD 207831
Neuroscience and Cognitive Science Program at the University of Maryland, College Park1
The Key Laboratory of Embedded System and Services Computing, Ministry of Education, Tongji University, Shanghai 201804, P.R. China1
Swinburne University of Technology Sarawak Campus, Malaysia1
Shanghai university1
Human Language Technology (HLT) Group, MIT Lincoln Laboratory, Lexington, Massachusetts USA1
School of Mathematical Sciences, Xiamen University, Xiamen, Fujian, China1
Department of Information Management, Tamkang University, New Taipei City, Taiwan1
Department of Industrial Design, Tatung University, Taipei 104, Republic of China1
Department of Computer Science and Engineering, Tatung University, Taipei 104, Republic of China1
École Polytechnique Fédérale de Lausanne (EPFL), Computer Vision Laboratory, Switzerland1
WillowGarage, Menlo Park, CA, USA1
University of Texas at Austin; Facebook AI Research, Austin, USA1
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Division of Electronical Engineering, Hanyang University, Ansan, Republic of Korea1
Delhi Technological University, Delhi, India1
College of Economics and Center for Finance and Accounting Research, Shenzhen University, Shenzhen, China1
Department of Automation, Northwestern Polytechinical University, Xi’an, China1
School of Communication and Electronics, Jiangxi Science and Technology Normal University, Nanchang, China1
Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey akarun@boun.edu.tr1
Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl1
Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey hamdi.dibeklioglu@cmpe.boun.edu.tr1
Department of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China1
Smeal College of Business, Pennsylvania State University, University Park, PA, USA1
Department of Electronics, Vishwakarma Institute of Technology Pune, India1
School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China1
College of Science, Xi’an Shiyou University, Xi’an, China1
School of Mathematics and Statistics, Xidian University, Xi’an, China1
Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, 400084, Romania1
University of Johannesburg, Johannesburg, South Africa1
Department of Electronic, Saad Dahleb University, Blida, Algeria1
Department of Electrical and Electronic Engineering, University of Bristol, United Kingdom1
Orthopaedic Biomechanics, Biomedical Engineering Department, Eindhoven University, Eindhoven, Netherlands1
Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom1
Center for Computational Imaging & Simulation Technologies in Biomedicine, University of Sheffield, Sheffield, United Kingdom1
School of Psychology, University of Ottawa, Ottawa, Canada1
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Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran1
Signal Processing Group, TU Darmstadt, Germany1
ICSI, UC Berkeley, USA1
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Center for Development of Advanced Technology, Algiers, Algeria1
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Beckman Institute, University of Illinois, USA1
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University of Massachusetts Dartmouth, Dartmouth, MA, USA1
Department of Computer Science & Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Tohoku University, Japan1
School of Electronic and Information Engineering, Beihang University, 100083, China. E-MAIL: YuLi_Xue@ee.buaa.edu.cn, moukyou@buaa.edu.cn1
Department of Electrical and Computer Engineering, West Virginia University Institute of Technology, Montgomery, USA1
School of Mathematics and Information Science, Chang’an University, Xi’an, China1
National Taipei University of Technology, Taiwan1
Center for Automation Research, UMIACS; Dept. of ECE, University of Maryland, College Park. rama@cfar.umd.edu1
Center for Automation Research, UMIACS; Dept. of Computer Science, University of Maryland, College Park. gaurav@cfar.umd.edu1
Center for Automation Research, UMIACS; Dept. of ECE, University of Maryland, College Park. soma@cfar.umd.edu1
Evatix, Dhaka, Bangladesh1
University of Bristol,, UK1
BioMerieu, La Balme-les-Grottes1
TED, Moirans, France1
Thales Electron Devices (TED), Moirans, France1
Department of Audiology and Speech language pathology, Mackay Medical College, New Taipei City, Taiwan1
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Research Center for Science and Technology in Medicine, Tehran University of Medical Sciences, Tehran, Iran1
Institute of Signal Processing, Tampere University of Technology, POBox 553, FIN-33 101, Tampere, Finland. e-mail: irek.defee@tut.fi1
Student Member, IEEE, Institute of Signal Processing, Tampere University of Technology, P.O.Box 553, FIN-33101, Tampere, Finland. phone: +358331154503; fax: +35833653087; e-mail: daidi.zhong@ieee.org1
Intelligent Systems Department, Multimedia Computing Group, Delft University of Technology, Delft, The Netherlands1
Centre for Signal Processing, Dept. of Electronic & Information Engg., The Hong Kong Polytechnic University, China1
The Nature-Inspired Computational Intelligence Research Group, Kanpur, India1
Information and Computing Sciences, Utrecht University, the Netherlands1
Electro-Optics, TNO Defence Security and Safety, The Hague, The Netherlands1
School of Automation Science & Electrical Engineering, Beihang University, Peking, China1
University of Florida, Gainesville, USA1
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NIH Clinical Center, Bethesda, USA1
Departments of Biology, Boston University, Boston, MA 022151
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Xi'an Jiaotong University, Xi'an, PA, China1
Bio-Computing Research Center, Harbin Institute of Technology Shenzhen Graduate School, China1
Guangdong Industry Training Centre, Guangdong Polytechnic Normal University, Guangzhou, China1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame IN 46545, USA. flynn@cse.nd.edu1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame IN 46545, USA. kwb@cse.nd.edu1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame IN 46545, USA. tfaltemi@cse.nd.edu1
3dMD, Atlanta, Georgia, USA1
University of Bath, Anthropics Technology Ltd.1
School of Physics Electrical Information Engineering, Ningxia University, Yinchuan 750021, China1
Department of Computer Science, Auckland University of Technology, Auckland, New Zealand1
College of Information, Capital University of Economics and Business, Beijing, China.sanyecunfu@emails.bjut.edu.cn1
Maritime and Aerial Perception Systems Group, Jet Propulsion Laboratory, Pasadena, CA, USA1
School of Computer Science and Technology, Southwest Minzu University, Chengdu, China1
College of Computer Engineering, Yangtze Normal University, Chongqing, China1
School of Science and Engineering (Computing), University of Dundee, Dundee, U.K.1
CSIE, National Cheng Kung University, Tainan, 701 Taiwan1
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Research Group on Intelligent Machines, University of Sfax, ENIS, Sfax, Tunisia1
Intelligent Systems Laboratory, University of Bristol, Bristol, UK1
Curriculum in Neurobiology, University of North Carolina at Chapel Hill, Chapel Hill, USA1
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Tohoku University1
Beijing Institute of Technology, China1
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Department of Information Management, Huafan University, Taipei, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Department of Information Management, Huafan University, Taipei, Taiwan. E-MAIL: cytang@cc.hfu.edu.tw1
Yahoo! Research, Haifa, Israel1
Technion, Haifa, Israel1
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CCCE, Nankai University Jinnan Campus, Tianjin, China1
College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, USA1
Chinese Academy of Sciences, Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Beijing, China1
Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China1
Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium and Interuniveristy Microelectronics Center (IMEC), Leuven, Belgium1
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, PR China and Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belg ...1
Graz University of Technology, Institute for Computer Graphics and Vision. bischof@icg.tugraz.at1
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Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, India1
Electronics and Instrumentation Engineering, Seemanta Engineering College, Mayurbhanj, Odisha, India, 7570861
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Toyota Technological Institute at Chicago, Chicago, USA1
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, Paris, France1
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National ICT Australia, Eveleigh, Australia1
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Ministry of Higher Education, Riyadh, Kingdom of Saudi Arabia1
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Yahoo Inc., New York, NY, USA1
Chongqing University of Technology, Chongqing, China1
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National research base of intelligent manufaturing service, Chongqing, China1
Department of Informatics, Aristotle University of Thessaloniki, Box 451 Thessaloniki, GR-54124, Greece. costas@aiia.csd.auth.gr1
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Department of Electrical and Electronic Engineering, Hasan Kalyoncu University, Gaziantep, Turkey1
School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland1
iCV Research Group, Institute of Technology, University of Tartu, Tartu, Estonia1
NEC Labs, Cupertino, CA1
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Limos - CNRS UMR6158 Université Blaise Pascal, Campus des Cézeaux, 63173 Aubière, France1
College of Computer Science and Software Engineering, Auburn University, Auburn, U.S.A.1
College of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China1
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA1
Department of Computer and Information Science, University of Oregon, USA1
Gachon University, Gyeonggi-do, South Korea1
Dankook University, Gyeonggi-do, South Korea1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, 31270-0101
eSmile – Psychology for Children & Adolescents, Ciudad Real, Spain1
MAmI Research Lab, University of Castilla-La Mancha, Ciudad Real, Spain1
Indian Statistical Institute, Kolkata 7001081
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: pitas@zeus.csd.auth.gr, dralbert@zeus.csd.auth.gr1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: tefas@zeus.csd.auth.gr, dralbert@zeus.csd.auth.gr1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: dralbert@zeus.csd.auth.gr1
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA1
School of Information Technology, Deakin University, Geelong, Australia1
School of Sciences, South China University of Technology, Guangzhou, China1
Department of Computer Science, POSTECH, Korea. seungjin@postech.ac.kr1
Department of Computer Science, POSTECH, Korea. karma13@postech.ac.kr1
School of Electrical Engineering, Tel-Aviv University, Tel Aviv, Israel1
Faculty of Aerospace Engineering, University Politehnica of Bucharest, Bucharest, Romania1
Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia1
Software Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia1
Guangxi University, Nanning, China1
Dept. Computer Science & Info. Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Department of Electronics Engineering and Computer Science, Fukuoka University, Fukuoka, Japan1
Department of Advance Information Technology, Kyushu University, Fukuoka, Japan1
Department of Electrical Engineering, Future Institute of Engg. & Mgmt., Sonarpur, Kolkata-700 1501
Department of Information Technology, ABACUS Institute of Engg. & Mgmt., Mogra, Hooghly-712 1481
Departament d’Informàtica, Universitat de Valencia, Valencia, Spain1
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland, Germany1
IDIAP Research Institute, Switzerland1
Department of Engineering and MaintenanceChina Mobile Group, Jiangsu Company, Ltd., Changzhou, China1
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University of Applied Sciences, Technikum Wien, Vienna, Austria1
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Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA1
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CSE Department, Czech Technical University, Prague, Czech Republic, horejj1@fel.cvut.cz1
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Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Saarland, Germany1
School of Mathematics and Physics, Anhui University of Technology, Maanshan, Anhui, China1
Department of Rehabilitation, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China1
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LIRIS UMR 5205, Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France1
Amazon, Berkshire, U.K.1
Computation-based Science and Technology Research Centre, The Cyprus Institute, Nicosia, Cyprus1
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College of Computer Science, Hangzhou, China1
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School of Dentistry, Cardiff University, Cardiff, UK1
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School of Engineering, Kerbala University, Karbolaa, Iraq1
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Toshiba Corporation, Japan1
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Public Service Platform of Mobile Internet Application Security Industry, Shenzhen, China1
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Eastman Kodak Company, Rochester, NY, USA1
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Nokia Technologies, Tampere, Finland1
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Nanjing Institute of Astronomical Optics and Technology, National Astronomical Observatories, Chinese Academy of Science, Jiangsu 210042, China1
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Google Inc., Mountain View1
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Chinese Academy of Sciences Beijing, 100080, China1
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State Grid Liaoning Electric Power Supply CO. LTD, China1
National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan1
Adobe Systems Incorporated, San Jose, CA, 951101
Computer Science and Engineering Department, Arizona State University. hliu@asu.edu1
Computer Science and Engineering Department, Arizona State University. zhaozheng@asu.edu1
Computer Science and Engineering Department, Arizona State University. jieping.ye@asu.edu1
Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand1
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State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China1
Informatics Engineering Department, Faculty of Science and Technology, University of Coimbra, Portugal1
Dept. of Applied Physics and Electronics, Umeå University, SE-901 87 Umeå, Sweden1
The Friedberg Genizah Project, Jerusalem, Israel1
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Indian Institute of Technology, Madras, India1
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Microsoft, Redmond, WA1
Systems Design Engineering Department, University of Waterloo, Waterloo, Canada1
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University of N. British Columbia, Prince George, Canada V2N 4Z91
Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands1
Panasonic Singapore Laboratories1
ETS, Québec, Canada1
University of Oulu1
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Information and Communication Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
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Electrical Engineering Department, Xian Shiyou University, Xi’an, China1
School of Logistics, Engineering in Wuhan University of Technology, Wuhan, China1
School of Logistics, Engineering in Wuhan University of Technology Electrical and Electronic, Engineering in Hubei University of Technology, Wuhan, China1
Samsung Electronics, Yong-In, Gyeonggi-Do, Korea1
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Department of Computer Science and Engineering, POSTECH, Pohang, Korea1
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Electrical Engineering Department, Tafresh University, Tafresh, Iran1
School of Engineering, Tokyo Institute of Technology, Yokohama, 226-8502, Japan1
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68129 Army, Lanzhou, China1
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Department of Electrical and Computer Engineering, University of Waterloo, 200 University Ave. West, ON, Canada1
Laboratory for Computer-Aided Circuit Design, University of Applied Sciences Aschaffenburg, Germany1
Pattern Recognition Lab, Department of Computer Science, University Erlangen-Nuremberg, Germany1
Department of Electrical Engineering, Faculty of Engineering, Aswan University, Egypt1
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China1
Sardina Systems, Tallinn, Estonia1
Department of Internal Search Platform, Tencent Inc., Shenzhen 518060, China1
Space Application Laboratory, Research Center for Advanced Science and Technology, University of Tokyo, Japan1
Department of Aeronautics and Astronautics Engineering, Graduate School of Engineering, University of Tokyo, Japan1
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College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China1
School of Computer Science, University of Nottingham, Nottingham, UK1
Dipartamento di Informatica, University of Verona, Italy1
VARPA Group, University of A Coruña, Spain1
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Institute of Computer Peripheral, XIDIAN University Xi'an, China1
Zhejiang Wanli University, Ningbo, China; Institute of Computer Peripheral, XIDIAN University Xi'an, China1
Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China1
School of Electronic Engineering and Computer Science, Queen Mary, University of London, London, UK1
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
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Dept. Electronics and Communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India1
A*STAR, Singapore / National University of Singapore, Singapore1
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IBM Research India, New Delhi, India1
Room PQ809, Building P, The Hong Kong Polytechnic Univ, Hung Hom, Hong Kong1
National Lab of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, P.R. China1
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141
131
121
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Robotics and Mechatronics Center, German Aerospace Center (DLR), Germany1
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CARTIF Foundation, Valladolid, Spain1
Department of Electrical & Computer Engineering, Democritus University of Thrace, Xanthi, Greece1
Department of Computer & Information Science, Norwegian University of Science and Technology, Trondheim, Norway1
Department of Electrical and Computer Engineering, University of Illinois at Urbana—Champaign, Champaign, IL, USA1
Research & Development, British Broadcasting Corporation (BBC), London, UK1
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School of Logistics Engineering, Wuhan University of Technology, Wuhan, PR, 630047, China1
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Wide Eyes Technologies1
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Air Force Research Laboratory at Rome, Rome, NY1
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Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro No.1, Tonantzintla, Puebla, México. CP 728401
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Malong Technologies Company, Ltd., Shenzhen, China1
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Omron corporation, Japan1
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Paradigma Digital, Madrid, Spain1
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Division of Computer Engineering, Dongseo University, Busan, Korea1
Beijing Information Science and Technology University, Beijing Key Laboratory of Internet Culture and Digital Dissemination Research School of Computer Science, Beijing, China1
School of Digital Media, Jiangnan University Jiangsu Wuxi, PR China1
School of Digital Media, Jiangnan University, Jiangsu Wuxi, PR China1
No.1 Senior Middle School of Wendeng District, Weihai, China1
Standards & Metrology Research Institute of CARS, Beijing, China1
College of Information Science & Technology, Hebei Agricultural University, Baoding, China1
Department of Electronics and Communication Engineering, P.S.N. College of Engineering and Technology, Tirunelveli, India1
Graduate School of System Informatics, Kobe University, Japan1
Biomedical and Multimedia Information Technology Research Group, The University of Sydney, Darlington, NSW, Australia1
School of Maths, Statistics & Computer Science, University of KwaZulu-Natal, Durban, South Africa1
Faculty of Science and Technology, Sudan University of Science and Technology, Khartoum, Sudan1
Department Of Computer Science, TU Dortmund1
School Of Computing, University Of Dundee1
Beckman Institute and Department of Computer Science, University of Illinois at Urbana-Champaign, USA1
Honda Fundamental Research Laboratories, Honda R&D Americas, Inc., USA1
Department of Computer Science, Virginia Polytechnic Institute and State University, Falls Church, Virginia, USA1
Pattern Recognition & Bio-informatics Laboratory, Delft University of Technology, Delft, The Netherlands1
CVSSP, University of Surrey, Guildford, UK1
School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
Graduate School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
Boston, USA1
Boston, USA1
School of Cognitive Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran1
Department of Electrical and Computer Engineering, Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran1
University of Porto, Portugal1
Federal Institute of São Paulo, Araraquara, Brazil1
School of Science, Jiangnan University, Wuxi, China1
University of York,York, YO10 5DD, UK1
Department of Computer Science, University of Copenhagen, Denmark1
Institute for Pattern Recognition and Artificial Intelligence and the National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan, China1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia1
Department of Computer and Information ScienceFaculty of Science and Technology, University of Macau, Macau, China1
Advanced Technology division, Toyota Motor Europe, Japan1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, P. R. China1
University of Massachusetts at Amherst, Amherst, MA, USA1
Department of Electrical and Computer Engineering, University of California, Santa Barbara1
Adelaide University, Australia1
LIRIS, Département Mathématiques Informatique, Ecole Centrale de Lyon, Ecully, France1
Institute of Computer Science, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland1
Multimedia Laboratory, Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada1
Carleton University, Ottawa, ON, Canada1
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China1
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA1
Albert-Ludwigs-Universität Freiburg, Computer Science Institute, Freiburg, Germany1
Department of Electronic Engineering, University of Electronic Science and Technology of China, China1
Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany1
NeuroRx Research, Montréal, Canada1
School of Computer Science, McGill University, Montréal, Canada1
University of Central Florida, Computer Science1
Stetson University, Computer Science1
Department of Communication and Electronic Engineering, Hunan City University, Yiyang, China1
SenseTime Group Limited, Shatin, Hong Kong1
University of Pretoria, Pretoria, South Africa1
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Computer Vision and Image Understanding Department, Institute for Infocomm Research, Singapore1
Folkhalsan Research Center Helsinki, Finland1
School of Medicine Indiana University Indianapolis, IN, United States1
Department of Child Neurology HUCH Hospital for Children and Adolescents Helsinki, Finland1
School of Medicine State University of New York Buffalo, NY, United States1
Fellow, IEEE, Faculty of Computer Science, George Mason University, Fairfax, VA 22030, USA wechsler@cs.gmu.edu1
CleverSys. Inc., Isaac Newton Square, Reston, VA 20190, USA fayin.li@gmail.com1
KT Future Technology Laboratory, Seoul, South Korea1
Graduate School of Information, Production and Systems (IPS), Waseda University, Kitakyushu-shi, 808-0135, Japan1
Information, Production and Systems Research Center (IPSRC), Waseda University, Kitakyushu-shi, 808-0135, Japan1
Punjab Engineering College, Chandigarh, India1
Erciyes University, Engineering Faculty, Computer Engineering Department, 38039 Kayseri, Turkey1
Gazi University, Engineering and Architecture Faculty, Computer Engineering Department, 06570 Ankara, Turkey1
Department of Automation, East China University of Science and Technology, Shanghai, People’s Republic of China1
School of Management, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Engineering Research Center of Optical Instrument and System, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan1
Shanghai Adwanced Research Institute, Chinese Academy of Sciences, Shanghai, China, 2012101
Institute of Psychology, Chinese Academy of Sciences, Beijing, China1
College of Teacher Education, Wenzhou University, Wenzhou, China1
CAS Key Laboratory of Behavior Sciences, Institute of Psychology, Beijing, China1
Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia1
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA-100221
Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam-7880101
Information: Signals, Images, Systems (ISIS) Research Group, School of Electronics and Computer Science, University of Southampton, Southampton S017 1BJ, United Kingdom, email: msn@ecs.soton.ac.uk1
Information: Signals, Images, Systems (ISIS) Research Group, School of Electronics and Computer Science, University of Southampton, Southampton S017 1BJ, United Kingdom, email: bg@ecs.soton.ac.uk1
Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China1
Ozyegin University, Istanbul, Turkey1
Federal Institute of Education, Science and Technology of Paraiba -, Esperanca, Brazil1
Computer Science Department, Federal University of Campina Grande, Paraiba, Brazil1
Department of Electrical Engineering, Stanford University1
P.P.G. Institute of Technology, Coimbatore1
Dept. of ECE, Institute of Road and Transport Technology, Erode-638 316, India1
IDIAP, Martigny, Switzerland1
Department of Information Management, Hwa Hsia University of Technology, New Taipei City, Taiwan1
Department of Electronic Engineering, National Ilan University, Yilan City, Taiwan1
Princeton University, USA1
CSE & IT Department, Electrical and Computer Engineering Faculty, Shiraz University, Shiraz, Iran1
The University of Tokyo & JST PRESTO, Tokyo, Japan1
Ocean University of China, Teaching Center of Fundamental Courses, Qingdao, China1
Centre of Research in Complex Systems, Charles Sturt University, Albury, Australia, 26401
Advanced Computing Research Laboratory, Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Department of Computer Science, Rutgers University, 110 Frelinghuysen Road, Piscataway1
Baylor College of Medicine, Houston, TX, USA1
Brown University, Providence, RI, USA1
University of Florida, Gainesville, FL, USA1
Cleveland Clinic, Cleveland, OH, USA1
Digital Technology International Group, Perth Airport, Australia1
National Taiwan University of Science and Technology, Department of Mechanical Engineering, Taiwan1
University of Tokushima, Shinkuracho, 770-8501, Japan1
Graduate School of System Informatics, Kobe University, 657-8501, Japan1
School of Electrical and Electronic Engineering, UniversitiSains Malaysia, USM Engineering Campus, 14300 NibongTebal, Pulau Pinang, Malaysia1
Computer Science Department, University of Crete, Institute of Computer Science, FORTH1
Institute of Computer Science, FORTH1
Institute of Computer Science, FORTH, Computer Science Department, University of Crete1
Information and Science Technology Institute, Peking University Shenzhen Graduate School, Shenzhen, China1
Information Network Engineering and Research Center, South China University of Technology, Guangzhou 510641, China1
School of Software, Nanchang Hangkong University1
Institute of Computer Vision, Nanchang Hangkong University1
Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education, Shenyang, China1
School of Information Science and Engineering, Northeastern University, Shenyang, China1
College of Engineering, Swansea University, UK1
School of Information and Control engineering, Liaoning Shihua University, China1
Neptec Design Group Ltd, Kanata, Canada1
Signal Network Technology Pty Ltd, Sydney, Australia1
Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia1
Department of Medical and Molecular Biosciences, University of Technology Sydney, Sydney, Australia1
Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, Australia1
Dept. of Comput. Sci., Chicago Univ., IL, USA1
Griffith School of Engineering, Queensland Research Laboratory, National ICT Australia, Griffith University, Nathan, Australia1
Queensland Research Laboratory, National ICT Australia and Institute for Integrated and Intelligent Systems, Griffith University, Nathan, Australia1
Neptec Design Group Ltd, Kanata, Ontario K2K 1Y5, Canada1
School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel1
Yahoo Research Labs, Haifa, Israel1
Weizmann Institute, Rehovot, Israel1
Institute of Cognitive and Brain Sciences, University of California, Berkeley, USA1
Tel Aviv University, Tel Aviv, Israel1
Computer Science Department, University of California, Los Angeles, USA1
University of Nebraska-Lincoln, Lincoln, USA1
Department of Cognitive Sciences, Education and Cultural Studies, University of Messina, Messina, Italy1
Department of Mathematics, Lahore School of Economics, Lahore, Pakistan1
UTM-IRDA Digital Media Centre, Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Departments of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD1
Multimedia Signal Processing Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
University of Tunis El Manar, Tunis, Tunisia1
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, China1
School of Computer Science and Technology, and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, China1
University of Vermont, Burlington, VT, USA1
Center for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia1
Department of Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany1
College of Information and Control Engineering, China University of Petroleum, Qingdao, China1
Intel Labs Europe, Pipers Way, Swindon1
College of Computer Science and Technology, Guizhou University, Guiyang, China1
School of Management, Dalian University of Technology, Dalian, Liaoning Province, China. lihui@ln.chinamobile.com1
Visual Computing Group, Microsoft Research Aisa1
Visual Computing Group, Microsoft Research Asia1
Department of Electronics and Instrumentation, Birla Institute of Technology and Science, Pilani, India1
Jiangsu Province Traditional Chinese Medicine Hospital, Nanjing, China1
Department of Communication Engineering, Nanjing Institute of Technology, Nanjing, China1
Department of Computer Science and Engineering, Lehigh University, Bethlehem, USA1
Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
School of Electrical Engineering and Automation, Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin, China1
DIMAp/UFRN, Natal, Brazil1
Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, New Jersey, 070301
Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 028811
Vulcan Inc, Seattle, WA 981041
Department of Computer Science, Hofstra University, Hempstead, NY 115491
University of Western Australia, Crawley, Australia1
Umm Al-Qura University, Makkah, Saudi Arabia1
School of mechanical and power engineering, Hennan Polytechnic University, Jiaozuo, China1
Institute of Information Technology (Comm. Electronics), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany1
ETS Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid1
Columbia University, USA1
School of computer Science and Engineering, Nanyang Technological University, Singapore1
Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore1
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India1
York University, Toronto, ON, Canada1
Academia Sinica, Taiwan1
Key Laboratory of Machine Perception (MOE), School of EECS, Peking University, China1
School of Software, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
UNSW, Sydney, Australia1
Department of Electronics and Electrical Engineering, Chung-Ang University, Seoul, Korea1
Department of Computer Science and Engineering, Chung-Ang University, Seoul, Korea1
Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore1
Department of Information Technology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore-461
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Asiatech College, City of Sta. Rosa, Laguna, Philippines1
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines, Oriental Mindoro, Philippines and John Paul College MG Andaya Compound, Oriental, Mindoro, Philippines1
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Lyceum of the Philippines University - Laguna, Calamba City Philippines1
Australian National University, Canberra, ACT, Australia1
School of Automation, Beijing Institute of Technology, Beijing, China1
Key Laboratory of Intelligent Information Process, Chinese Academy of Sciences, Beijing, China1
College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
COMSATS, Institute of Information Technology, Sahiwal, Pakistan1
National University of Computer and Emerging Sciences, Islamabad, Islamabad, Pakistan1
Department of Radiology, Mount Sinai West, New York, USA1
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, USA1
Yahoo, Sunnyvale, CA, USA1
Bell Labs, Cambridge, United Kingdom1
Institute of Forensic Medicine, University of Southern Denmark, Odense, Denmark1
INESC TEC, Universidade do Porto, Porto, Portugal1
Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada1
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong1
Noah’s Ark Laboratory, Hong Kong1
Noah.s Ark Laboratory and Hong Kong University of Science and Technology, Hong Kong1
School of Electronic, Electrical Engineering and Computer Science, The Queens University, Belfast, Northern Ireland1
Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia1
La Trobe University, Melbourne, Australia1
BITS Pilani, India , India1
Staqu Technologies1
Department of Computer Engineering Faculty of Engineering, MUT1
Department of Computer Engineering Faculty of Engineering, NPU1
Department of Electrical Engineering, Rio de Janeiro State University , Rio de Janeiro, Brazil1
Department of Electrical and Computer Engineering, Democritus University of Thrace, Thrace, Greece1
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece1
Department of Health Sciences, University of Leicester, Leicester, Unithed Kingdom1
Department of Civil, Environmental & Geomatic Engineering, University College London, London, Unithed Kingdom1
Physiotherapy Department, Maidstone & Tunbridge Wells NHS TrustTN2 4QJ1
Institute for Information Industry, Taipei City, Taiwan1
Department of Digital Humanities, Aletheia University, New Taipei City, Taiwan1
Raytheon BBN Technologies, Cambridge, MA1
Dept. School of Optoelectronic Information, University of Electronic Science and Technology of China Chengdu, China1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China1
Institute of Measurement and Control Systems at Karlsruhe Institute of Technology, Karlsruhe, Germany1
Microelectronics and Control Systems, PES Institute of Technology Bangalore, Karnataka, India1
Dept. of Electronics & Instrumentation Engineering, University B.D.T. College of Engineering, Davanagere, Karnataka, India1
Dept. of Biomedicai Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India1
SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain1
AI Laboratories, Alibaba Group, Hangzhou, China1
Centrum Wiskunde & Informatica, Amsterdam, Netherlands1
DAUIN, Politecnico di Torino, Turin, Italy1
Intel Labs, Banglore, Karnataka, India1
National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, China1
School of Mathematics and Statistics, Northeast Normal University, Changchun, China1
Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, China1
Department of Science Program, Texas A&M University at Qatar, Doha, Qatar1
School of Mathematics, Southeast University, Nanjing, China1
Dhofar University, Oman1
Université de Jendouba, Faculté des Sciences Juridiques, Economiques et de Gestion de Jendouba, Tunisia1
Department of Computer Science & Information Engineering, Shu-Te University, Taiwan1
Department of Drama and Theatre, National Taiwan University, Taiwan1
Shenzhen Institute of Advanced Technology1
Telecom Division, Centre de Développement des Technologies Avancées, Algiers, Algeria1
Center for Machine Vision Research, Computer Science and Engineering, University of Oulu, Oulu, Finland1
Department of Computer Science Faculty of Computers and Information, Mansoura University, Mansoura, Egypt1
Department of Mathematics and Computer Science, University of Missouri-St. Louis, St. Louis, USA1
Department of Statistics, University of Nebraska-Lincoln, Lincoln, USA1
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China1
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China1
Texas A&M University at Qatar, Doha, Qatar1
Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland1
Chair of Control and Systems Engineering, Poznan University of Technology, Poznan, Poland1
Department of Computer Engineering, The University of Isfahan, Isfahan, Iran1
State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, 710119, P.R. China1
Computational Biomedicine Laboratory, Department of Computer Science, University of Houston, Houston, TX1
University of North Carolina at Chapel Hill, Chapel Hill, USA1
University of Illinois at Urbana Champaign, Urbana, USA1
Italian Institute of Technology, Milan, Italy1
Dept. of CSE CEC, Landran, Mohali, India1
Institute of Intelligent Vehicle, Tongji University, Shanghai, China1
Northwestern Polytechnical University, Xi’an, China1
NPU-VUB Joint AVSP Research lab, Vrije Universiteit Brussel(VUB), Pleinlaan 2, Brussels, 1050, Belgium1
Samsum R&D, Institute China-Beijing, Floor 18, Sun Palace Building, 12A Sun Palace Road, Chaoyang District, Beijing, 100020, China1
Synthes GmbH, Langendorf, Switzerland1
Computer Aided Medical Procedures (CAMP), TU Munich, Munich, Germany1
ImFusion GmbH, Munich, Germany1
School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China. E-MAIL: ydding@yc.shu.edu.cn1
School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China; Department of Information and Electrical Engineering, Shaoyang University, Shaoyang 422000, China. E-MAIL: huang_tongcheng@163.com1
Information and Communication Engineering, Rajshahi University1
Gippsland School of Information Technology, Monash University1
Key Lab Complex System & Intelligence Science, Institute of Automation, Chinese Academy of Science, Beijing, China1
College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China1
Osaka University, 1-1 Yamada-oka, Suita, Japan1
Osaka Electro-Communication University, 18-8 Hatsucho, Neyagawa, Japan1
LIRE Laboratory, University of Constantine 2, Algeria1
TLSI Department, NTIC faculty, University of Constantine 2, Algeria1
Technical Reconnaissance Detachment of Public Security Bureau Lanzhou, Lanzhou, China1
School of Information Science and Technology, University of Science and Technology of China, Anhui, China1
Department of Automation, University of Science and Technology of China, Anhui, China1
Philips Applied Technologies, Eindhoven, Netherlands1
Philips Research Eindhoven, Eindhoven, Netherlands1
Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6R 2V4, Canada1
SAP Innovation Center Networks, Singapore1
Zuse Institute Berlin, Berlin, Germany1
Yahoo Research, Sunnyvale, CA, USA1
Yahoo Research, New York City, NY, USA1
Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada1
VIVA Research Laboratory, School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada1
School of mathematics and statistics, Shaoguan University, Shaoguan, China1
Department of Information Technology, Mahanakorn University of Technology, Nong Chok, Thailand1
Informatics and Telematics Institute, CERTH, Thessaloniki, Greece1
Advanced Machine Intelligence Research Laboratory, Department of Computer Engineering, Mahanakorn University of Technology, Nong Chok, Thailand1
Department of Informatics, King’s College London, London, UK1
Department of Electrical Engineering, KAIST, Korea1
Electronic R&D Center, Mando Corp., Korea1
Department of New Media, Korean German Institute of Technology, Korea1
SAIT Beijing Lab, Samsung Advanced Institute of Technology, China1
Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea1
Department of Electrical, IT & Computer Sciences, Qazvin Islamic Azad University, Qazvin, Iran1
Department of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran1
Department of Electrical Engineering, Amirkabir University of Technology, Teharan, Iran1
Dept. of Applied Mathematics, Xidian University, Xi'an, China1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, rbd@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, tfq@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, msb@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, kbrady@ll.mit.edu1
Lund University, Centre for Mathematical Sciences, Box 118, SE-22100, Sweden1
Malmö University, Applied Mathematics Group, Östra Varvsgatan 11A, 20506, Sweden1
Biostatistics & Medical Informatics, and Computer Sciences, Univ. of Wisconsin-Madison, USA1
Haas School of Business, and Industrial Eng. and Operations Research, Univ. of California, Berkeley, USA1
VDG Security B.V., Zoetermeer, The Netherlands1
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: tokuda@ics.nitech.ac.jp1
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: nankaku@ics.nitech.ac.jp1
DST INSPIRE Fellow, Department of Computer Science and Engineering, Jadavpur University, Kolkata, India1
B-DAT, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China1
Mobile Communications Department, Eurecom, Biot, France1
STARS Team, Institut National de Recherche en Informatique et en Automatique, Sophia Antipolis, France1
Multimedia Laboratory, School of Computer Science and Engineering, Nanyang Technological University, Singapore1
South China Agriculture University, Dept. of Computer Science and Technology, Guangzhou, China1
University of Cambridge, UK1
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China1
School of Communication and Information Engineering Shanghai University Shanghai, China1
Centre of Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan1
Advanced Research Institute, Institute for Information Industry, Taipei, Taiwan1
SRI International, 201 Washington Road, Princeton, NJ, USA1
LAMIA, EA 4540, University of French West Indies and Guyana, Guadeloupe, France1
ISIR, UPMC Univ Paris 06, CNRS, Paris, France1
Advanced Electronics System, Academy of Scientific and Industrial Research, CSIR-Central Electronics Research Institute, Pilani, India1
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10., czuni@almos.vein.hu1
System and Computer Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt1
Department of Computer Information Science, University of Massachusetts Dartmouth, Dartmouth, MA1
School of ITER, The University of Queensland, Australia1
Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia1
University of Aberdeen1
School of Electronics and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China1
Department of Mathematics and Computer Science, École centrale de Lyon, Écully, France1
Center for Image and Information, Processing, Xi'an University of Posts and Telecommunications1
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China1
Faculty of Electrical and Computer Engineering Urmia University1
Research Scholar, MPSTME, SVKM's NMIMS University, SFIT Borivalli(W) ,Mumbai 400 103, India1
MPSTME, SVKM's NMIMS University, Vile-Parle (W), Mumbai 400 056, India1
CSE dept., Green University of Bangladesh, Dhaka, Bangladesh1
CS dept., National Institute of Development, Administration, Thailand1
CSE dept., Stamford University Bangladesh, Dhaka, Bangladesh1
PLA University of Science and Technology, China1
PLA University of Science and Technology, China and State Key Lab. for Novel Software Technology, Nanjing University, China1
College of Computer and Information, Hohai University, China and Key Lab. of Image and Video Understanding for Social Safety, Nanjing University of Science & Technology, China1
Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore1
Parrot S.A. 174 quai de Jemmapes, 75010 Paris, France1
Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India1
School of Cyber Engineering, Xidian University, Xi’an, China1
Nokia Research Center, Beijing, 100084, China1
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK; Machine Vision and Pattern Recognition Research Group, Lappeenranta University of Technology, Finland1
Vols Taipei1
Instituto Tecnológico de Tijuana, Tijuana, México1
Multimedia and Vision Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK1
School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia1
RWTH Aachen University, Aachen, Germany1
Department of Rehabilitation, Shanghai Tenth People’s Hospital, Shanghai, China1
Beijing Institute of Remote Sensing Information, Beijing, China1
Department of Electrical Engineering, University of Tulsa, Tulsa, USA1
Signal Theory and Communications Department, University of Vigo, jalba@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, lpfreire@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, pcomesan@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, fperez@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, danisub@gts.tsc.uvigo.es1
School of Electronics Information Engineering, Tianjin University, Tianjin, China1
LIGM (UMR CNRS), École des Ponts ParisTech, Université Paris-Est, France1
Équipe Galen, INRIA Saclay, Île-de-France, France1
Center for Visual Computing, École Centrale Paris, France1
Department of Information Engineering, HeNan Radio and Television University, Zhengzhou, People’s Republic of China1
School of Computer and Information Science, Southwest University, Chongqing, People’s Republic of China1
School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China1
Universiti Kuala Lumpur, Kedah1
Department of Cognitive Science, Fujian key laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen, China1
ITEE, The University of Queensland, Australia1
Indian Institute of Science, Bangalore, India. lkrao@isu.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. krr@ee.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. saisiva@isu.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. jayyagnik@rishi.serc.iisc.ernet.in1
Department of Computer Science, Shandong University at Weihai, China1
School of Computer Science and Information Systems, Birkbeck College, London, UK1
CSEE Department, University of Missouri Kansas City, Kansas City, USA1
College of Information Engineering, Northwest A&F University, Yangling, China1
IRIT-ENSEEIHT, FRANCE1
LEAR Group, INRIA Grenoble Rhône-Alpes, Montbonnot, France1
Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.1
Dept. of Electronics and Communication Engg. M.S. Ramaiah Inst. of Tech. Bangalore-560054, India1
Department of Psychology, University of Florida, Gainesville, USA1
Department of Psychology, Ohio University, Athens, USA1
Mar-Baselious Institute of Technology & Science, Kothamangalam, Kerala, India1
Mahatma Gandhi University, School of Computer Sciences, Kottayam, Kerala, India1
Oxford Brookes University and Sony Computer Entertainment, London, UK1
Institute of Digital Media and Design, Beijing University of Posts and Telecommunications, Beijing, China1
Beijing Key Laboratory of Network System and Network Culture, Institute of Digital Media and Design, Beijing University of Posts and Telecommunications, Beijing, China1
Department of Computer Science and Information Engineering, National Taiwan University, Taiwan1
Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, H3G 1T7, Canada1
Department of Electrical and Computer Engineering, Concordia University, QC, Canada, H3G 1T71
Laboratoire Jean Kuntzmann, B.P. 53, 38041 Grenoble Cedex 9, France1
Eskisehir Osmangazi University, Meselik Kampusu, 26480, Turkey1
Dept. of Computer Science, Jinan University, Guangzhou, China, 5106321
Computer Engineering Department, Istanbul Technical University, Turkey1
Signal Processing Lab (LTS5), École Polytechnique, Fédérale de Lausanne, Switzerland1
Computer Engineering Department, Bogazici University, Istanbul, Turkey1
Universitat Oberta de Catalunya, Barcelona, Spain1
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada1
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada1
Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China1
Université Grenoble Alpes, Irstea, UR ETGR, St-Martin-d’Hères, France1
Laboratoire Hubert Curien UMR 5516, UJM-Saint-Étienne, CNRS, IOGS, Université de Lyon, Saint-Étienne, France1
Department of Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genoa, Italy1
Image, Video and Multimedia Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, Athens, Greece1
The School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China1
Department of Electrical Engineering, Ferdowsi University of Mashhad, Iran1
Dept. of CS & IT, Jaypee Institute of I.T., Noida, India1
School of Engineering & Sciences, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
School of Information Technology in Education, South China Normal University1
Hainan University, China1
Nissan Research Center, Silicon Valley, USA1
TAMS, Department of Informatik, University of Hamburg, Vögt-Kölln-Straße 30, 22527, Hamburg, Germany. Email: zhang@informatik.uni-hamburg.de1
Department of Computer Science and Technology, State Key Lab of Intelligent Technology and System, Tsinghua University, 100084, Beijing, China. Email: dcszb@mail.tsinghua.edu.cn1
Department of Computer Science and Technology, State Key Lab of Intelligent Technology and System, Tsinghua University, 100084, Beijing, China. Email: wdong01@mails.tsinghua.edu.cn, dcszb@mail.tsinghua.edu.cn1
College of Computer Science and Technology, Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Zhejiang University, Hangzhou, China1
Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, USA1
Department of Computer Science & Engineering, National Institute of Technology Rourkela, Odisha, India1
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA1
School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China1
Department of Electronic Engineering, East China Normal University, Shanghai, P.R. China1
IBM T. J. Watson Research Center, Hawthorne, NY, USA1
Computer Sciences Department, University of Wisconsin-Madison, Madison, WI, USA1
Department of Computer Science, University of Bucharest, Bucharest, Romania1
Faculty of Math. and Computer Science, University of Bucharest, Bucharest, Romania1
Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands1
Georgia Tech, Atlanta, GA, USA1
Indian Institute of Information Technology & Management, Gwalior, India1
B. S. A. College of Engineering & Technology Mathura, India1
Washington University in St. Louis, St. Louis, USA1
Computer Vision and Remote Sensing, Berlin University of Technology, Berlin, Germany1
Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia1
Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, Lublin, Poland1
Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France1
King Abdullah University of Science and Technologh, V.C.C. Research Center, Thuwal, Saudi Arabia1
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, P.R. China1
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France1
Key Laboratory of Measurement and Control for Complex System of Ministry of Education, Southeast University, Nanjing, China1
Department of Automation, Southeast University, Nanjing, China1
Computer Science and Engineering Department, University of Texas at Arlington, Arlington, TX, USA1
Centre for Quantum Computation & Intelligent Systems, University of Technology, Sydney, Australia1
Application Innovation Consultant with IBM, Taipei, Taiwan1
INSA CVL, Univ. Orléans, PRISME EA 4229, Bourges, France1
Department of Applied Math., Islamic Azad University, South Tehran Branch, Tehran, Iran1
Department of Electrical Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran1
Young Research Club, Islamic Azad University, South Tehran Branch, Tehran, Iran1
Dept. of Computer Science and Technology University of Bedfordshire United Kingdom1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. eackot@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. bapp0001@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. exdjiang@ntu.edu.sg1
Dept of ECE, KCG college of Technology Chennai, India1
Dept of ECE, Krishnasamy College of Engg and Technology, Cuddalore, India1
School of Electronics Engineering, Bharath University, Chennai, India1
University of Nottingham (Malaysia Campus), Malaysia1
Gipsa-Lab, Saint Martin d’Heres, France1
ICA Laboratory, Grenoble, France1
Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Sydney, NSW, Australia1
Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China1
Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China1
Dept. of Radiation Oncology, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA1
Dept. of Electrical & Computer Engineering, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA1
Department of Computer Science and Information Engineering, Chien Hsin University of Science and Technology, Taoyuan, Taiwan1
Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen, China1
IIIT Hyderabad, 500032, A.P, India1
School of Computing and Electrical Engineering, IIT Mandi, H.P, 175001, India1
CEA, LIST, Vision and Content Engineering Laboratory, Gif-sur-Yvette, France1
INRIA, Montbonnot, France1
Institute of Industrial Science, The University of Tokyo, Japan1
California Institute of Technology, Pasadena, USA1
Dept. of Computer Science, University of North Carolina, Chapel Hill, USA1
CSE Department, Regional Campus, Anna University, Tirunelveli, India1
Film Department ELTE University, Budapest, Hungary1
Atos Turkey, Ankara, Turkey1
Defence Research and Development Canada, Toronto, Ontario1
United States Air Force Research Laboratory, Dayton, OH1
Army Research Laboratory, Sensors and Electron Devices Directorate1
Faculty of the Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China1
school of Software Engineering, Xi’an Jiaotong University, Xi’an, China1
School of Electronic Information Engineering, Hebei University of Technology, Tianjin, China1
Institute of High Performance Computing, National University of Singapore, Singapore1
Department of Research and Development, NanTong Memtech Technology CO., LTD, Nantong, Jiangsu Province, 226003, China1
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada1
Research Center of Information and Control, Dalian University of Technology, Dalian, China1
Graphics an Media Laboratory, Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia1
Chinese Academy of Sciences, Institute of Automation, Beijing, 100190, China1
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, China1
Toyota Research Institute, Ann Arbor, USA1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China1
Department of Electrical and Computer Engineering, and director of CyLab Biometrics Center, Carnegie Mellon University, USA1
Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA1
University of Illinois at Urbana Champaign, Urbana1
Nanyang Technological University and Advanced Digital Science Center, Singapore1
Department of Clinical Psychology and Psychotherapy, University of Hamburg, Hamburg, Germany1
Tsinghua University, Beijng, China1
Medical Psychology, Ulm University, Ulm, Germany1
University of Puerto Rico Bayamon, Bayamon, Puerto Rico1
Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain1
Electrical Engineering Department, University of California, Santa Cruz, USA1
Information Access Division, National Institute of Standards and Technology (NIST), Gaithersburg, USA1
MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Shanghai Jiao Tong University, Shanghai, China1
Department of Computer Science and Engineering, Center for Brain-Like Computing and Machine Intelligence, Shanghai Jiao Tong University, Shanghai, China1
Tsukuba University, Tsukuba, Japan1
Laboratoire Jean Kuntzmann, Univ. Grenoble Alpes / CNRS, Grenoble, France1
SafranTech, Safran, Magny-les-Hameaux, France1
School of Finance and Statistics, East China Normal University, China1
Department of the Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea1
Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea1
University of British Columbia (Okanagan), Kelowna, BC, Canada1
Nippon Soken, Nishio, Japan1
Ascent Robotics, Tokyo, Japan1
Faculty of Information Technology, University of Moratuwa1
Department of Informatics, University of Oslo, Norway1
CERCIA, School of Computer Science, University of Birmingham, UK1
Austrian Institute of Technology, Austria1
Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia1
College of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, China1
College of Electronic and Information Engineering, Sichuan University, Chengdu, Sichuan, China1
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA1
Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania1
Department of Psychology, University of Illinois at Chicago, Chicago, IL1
Department of Mathematics and Computer Science, Ursinus College, Collegeville, PA1
Dept. Electronic Engineering, National University of Ireland, Galway1
Northwestern Polytechnical University1
Centre for Vision, Speech and Signal Processing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United Kingdom1
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China1
Meiji University, School of Science and Technology, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, 214-8571, Japan1
Department of Electrical and Computer Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA1
Indian Institute of Information Technology, Allahabad - India 1404131
ECE Department, Union College Schenectady, NY 12308, USA1
Department of Psychology, Washington University in St Louis, St Louis, USA1
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, USA1
Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia1
Minneapolis, USA1
Applied Mathematics, University of Washington, Seattle, Washington United States1
UBTech Sydney Artificial Intelligence Institute, The University of Sydney, Darlington, NSW, Australia1
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Kanagawa, Japan1
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Kanagawa, Japan1
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong1
College of Optoelectronic Engineering, Shenzhen University, Shenzhen, China1
Dept. of Software Engineering, ShenZhen Polytechnic, 518055,China1
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, USA1
Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, USA1
EURECOM, Route des Chappes, France1
School of Mathematical Science, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China1
Dept. of Electronics Engineering Indian Institute of Technology (BHU), Varanasi1
Department of Electrical and Computer Engineering, College of Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA, USA1
Department of Computer and Information Science, College of Engineering, University of Massachusetts Dartmouth, North Dartmouth, MA, USA1
Dept. of Electrical Engineering, Princeton University, USA.1
Institut de Robòtica i Informàtica, Industrial (CSIC-UPC), Spain1
Artesian Insights, Houston, USA1
Texas A&M AgriLife Blackland Research and Extension Center, Temple, USA1
Department of Ecosystem Science and Management, Texas A&M University, College Station, USA1
North Acton, London1
Electrical Engineering and Computer Science, Graduate School of Science and Technology, Kumamoto University, Japan1
Electrical Engineering Department, Engineering Faculty, Mataram University, Indonesia1
Department of Informatics, ISEE, Kyushu University, Fukuoka, Japan1
Graduate School of Systems Life Sciences, Kyushu University, Fukuoka, Japan1
The University of Western Australia Crawley, Western Australia1
Department of ECE, University of Dayton, Dayton, OH, USA1
ODU Vision Lab, Old Dominion University, Norfolk, VA, USA1
Forensics and Security Laboratory, School of Computer Engineering, Nanyang Technological University, Singapore1
New Delhi, India1
MSIT, C-4 Janakpuri1
ECE Department, MSIT, C-4 Janakpuri, New Delhi, India1
University of Rhode Island, Kingston, USA1
Electrical Engineering Department, National Cheng Kung University, Taiwan1
ETH Zürich, Photogrammetry and Remote Sensing Group1
TU Darmstadt, Computer Science Department1
School of Mathematical Sciences, Fudan University, China1
Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000 Kulim, Kedah, Malaysia1
School of Computer and Communication Engineering, UniMAP, Perlis, Malaysia1
University of Hail, Saudi Arabia1
College of information engineering, Sichuan Agricultural University, Yaan 625014, P.R. China1
School of Computer Science, Sichuan University, Chengdu, China, 6100651
School of Computer Science, Chengdu University of Information Technology, Chengdu, China, 6102251
INRIA Grenoble, LEAR - LJK, Montbonnot, France1
Department of Computer Science, Brown University, Providence Rhode Island, 02912, USA1
Institute of Real Time Learning Systems, Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany1
Mechatronics Group, Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand1
Guangdong Key Lab of Information Security, Sun Yat-Sen University, School of Data and Computer Science, Guangzhou 510006, China1
Commonwealth Scientific and Industrial Research Organization (CSIRO)1
University of Canberra, Austrlia1
Shenzhen Graduate School, Harbin Institute of Technology, 518055, China1
Research Institution of Intelligent Control and Testing, Graduate School of Tsinghua University at Shenzhen, 518055, China1
Rakuten Institute of Technology, Singapore 0489461
Department of Information Technology, Delhi Technological University, Delhi, India1
Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India1
Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY1
International Institute of Information Technology, Hyderabad, Telangana, India1
School of Information Engineering, North China University of Technology, China1
Department of Electronic Engineering, National Chin-Yi University of Technology, Taiping City, Taiwan, R.O.C.1
Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, R.O.C.1
Institute of Photonics and Communications, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, R.O.C.1
Human Language Technology Department, Institute for Infocomm Research, Singapore1
GIPSA-lab, Grenoble, France1
ACROE-ICA, Grenoble, France1
Department of Computer Science and Technology, Tsinghua University1
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, United States1
Department of Computer Science and Information Engineering, National Taipei University, Taipei, Taiwan1
Department of CSE, PDPM-IIITDM, Jabalpur1
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 6375531
College of Opto-electronic Engineering, The Key Laboratory for Opto-electronic Technology & Systems of Ministry of Education, Chongqing University, Chongqing, 400044, China. Email: ymwen@cqu.edu.cn1
College of Opto-electronic Engineering, The Key Laboratory for Opto-electronic Technology & Systems of Ministry of Education, Chongqing University, Chongqing, 400044, China.1
University of Pittsburgh, PA 15260, USA1
Istituto Italiano di Tecnologia & University of Verona, Genoa & Verona, Italy1
Istituto Italiano di Tecnologia & University of Genoa, Genoa, Italy1
Istituto Italiano di Tecnologia, Genoa, Italy1
Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign (UIUC), USA1
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Coventry, UK1
Department of Photogrammetry, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China1
Arizona State University, Phoenix, AZ, USA1
Electrical Engineering Department, Faculty of Engineering, Higher Educational Complex of Saravan, Saravan, Iran, 99516341451
Research Institute for Nanodevice and Bio Systems, Hiroshima University, Higashi-Hiroshima, Japan1
HiSIM Research Center, Hiroshima University, Higashi-Hiroshima, Japan1
Graduate School of Advanced Sciences of Matter, Hiroshima University, Higashi-Hiroshima, Japan1
Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan1
Institute of Engineering, Hiroshima University, Higashi-Hiroshima, Japan1
NICTA, Canberra Research Laboratory, Canberra, Australia1
Computer Vision Center, Campus UAB, 08193, Bellaterra, Spain1
Department of Computer Science and Information Engineering (DISI), Trento, Italy1
Department of Electrical and Information Engineering, University of Perugia, Perugia, Italy1
Department of Computer Science, University of Western Ontario, London, Canada1
School of Computer Science, Sichuan University Chengdu, China1
Machine Intelligence Laboratory, School of Computer Science, Sichuan University Chengdu, China1
Machine Intelligence Laboratory, College of Computer Science, Sichuan University Chengdu, China1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523, USA1
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh PA 15213. msavvid@ri.cmu.edu1
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh PA 15213. rbhagava@andrew.cmu.edu1
Department of Research, the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
Research Science, Facebook, United States1
Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal1
Imperial College, London, England1
Kingston University, Kingston upon Thames, England1
Anhui University, HeFei, China and Chinese Academy of Sciences, Beijing, China1
Department of Information Management, Yuan Ze University, Taoyuan, China1
University of Pittsburgh, USA1
Faculty of Engineering and the Built Environment, University of Johannesburg, Auckland Park, South Africa1
Department of Computer Engineering, Polytechnique Montréal, Montréal, QC, Canada1
Kiwi Technology Inc., Nanjing, China1
Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing, China1
University at Buffalo, The State University of New York, Buffalo, NY, USA1
Department of Geography Information Science, Honors College, Nanjing Normal University Nanjing, Jiangsu, 210023, China1
Nanyang Technological University, Centre for Multimedia and Network Technology (CeMNet), School of Computer Engineering, Singapore1
Center for Optical Imagery Analysis and Learning, School of Computer Science, Northwestern Polytechnical University, Xi’an, China1
Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China1
Elektrik ve Elektronik Mühendisliği Bölümü, TED Üniversitesi, Ankara, Türkiye1
The State Key Laboratory of Integrated Services Networks (ISN), Xidian University, Xi’an, China1
Department of Electronic and Engineering, Xidian University, Xi’an, China1
School of Information Science and Engineering, YanShan University, Qinhuangdao, China1
Graduate School of Information, Production and System, Waseda University, Tokyo, Japan1
Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia1
Computer Engineering Department, SVNIT, Surat, India1
Computer Engineering Department, B. V. M Engineering College, Vallabh Vidyanagar, India1
Technology School of Navigation, Wuhan University of Technology, Wuhan, People’s Republic of China1
School of Computer Science and Technology, Wuhan University of Technology, Wuhan, People’s Republic of China1
Institute for Deep Learning, Baidu, Sunnyvale, CA, USA1
Microsoft Advanced Technology Center, Beijing, China1
Department of Computer Applications, Guru Nanak Institute of Management and Technology, Ludhiana, India1
Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy1
Cadres Online Learning Institute of Yunnan Province, Yunnan Open University, Kunming, China1
National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China1
VTT Technical Research Centre of Finland, Oulu, Finland1
Visual Information Processing, Department of Computing, Imperial College, London, UK1
College of Engineering, Huazhong Agricultural University, Wuhan P.R. China 4300701
School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea1
Department of Computer Science, University of Kiel, Kiel, Germany1
Computer Science Department 5, University of Erlangen-Nürnberg, Erlangen, Germany1
Department of Mathematics and Computer Science, University of Münster, Münster, Germany1
Army Research Office, RTP, Raliegh, NC, United States of America1
Intel Corporation & Portland State University, Hillsboro, OR, USA1
Synergy Innovation Center, Communication University of China1
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ.1
School of Data and Computer Science, Sun Yat-sen University1
University of Piraeus, Dept. of Digital Systems, Grigoriou Lambraki, Piraeus, Greece1
Shaanxi Normal University, Xi’an, China1
School of Computer Science and Engineering, Center for Cyber Security, University of Electronic Science and Technology of China, Chengdu, China1
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea1
Yahoo! Research, Sunnyvale, CA, USA1
Yahoo! Research, San Francisco, CA, USA1
National Technical University of Athens & Yahoo! Research, Athens, Greece1
Smart Network Software Development Department, SHARP Corporation, Higashihiroshima, Hiroshima 739-0146, Japan1
The Pennsylvania State University Applied Research Laboratory, University Park, Pennsylvania, USA1
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA1
Max Planck Institute for Intelligent Systems, Perceiving Systems Department, 72076 Tübingen, Germany1
Department of Computer Science, Memorial University of Newfoundland, St. John’s, Canada1
Computer Science Department, Carnegie Mellon University. tk@cs.cmu.edu1
Computer Science Department, Carnegie Mellon University. epxing@cs.cmu.edu1
Computer Science Department, Carnegie Mellon University. gu@cs.cmu.edu1
LIVIC (INRETS/LCPC), 14 route de la minière, building 824, 78000 Versailles - Satory, France1
NVIDIA Research, New York, NY, USA1
The Graduate Center, CUNY, New York, NY, USA1
IASRG Lab, 4th Floor, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia1
Div. of Electrical Electronics and Control Engineering, Kongju National University, Kongju, Republic of Korea1
Image Understanding and Knowledge-Based Systems Group, Technische Universität München, Garching, Germany1
Microsoft Research, Beijing 100080, China1
LITIV, Polytechnique Montréal, Montréal, Canada1
School of Journalism and Communication, South China University of Technology, Guangzhou, China1
Department of Exceptional Education, Buffalo State University (SUNY), Buffalo, New York, USA1
Children’s Guide Foundation Autism Spectrum Disorder Center, Buffalo, NY, USA1
Air Force Research Lab, Rome, USA1
Department of Chemical Equipment and Control Engineering, China University of Petroleum, Qingdao, China1
Dept. of Electronics Engineering, Erciyes University, Kayseri, Turkiye1
TÜBİTAK-National Research Institute of Electronics and Cryptology, Gebze, Kocaeli, Turkiye1
Universités Nice Sophia Antipolis, UMR 7271, I3S, F-06900, France1
University of Waterloo, Vision and Image Processing (VIP) Lab, Ontario, Canada1
Disney Research, Pittsburgh, PA, USA, 152131
Corporate Innovation OSRAM GmbH1
College of Automation, Harbin Engineering University, Harbin, China1
School of Software and Microelectronic, Northwestern Polytechnical University, Xi’an, China1
School of Geosciences, China University of Petroleum, Qingdao, China1
The Guangzhou Key Laboratory of Digital Content Processing and Security Technologies, Guangzhou, China1
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK1
Universite de Rennes 1, Rennes, France1
École de Technologie Supérieure, Montréal, Canada1
Technical University of Munich, Garching, Germany1
Technical University Munich, Munich, Germany1
Ecole de Technologie Superieure, Montreal, Canada1
German Cancer Research Center, Heidelberg, Germany1
Sunnybrook Health Science Centre, Toronto, Canada1
University of Leeds, Leeds, UK1
School of Computing Sciences, University of East Anglia, Norwich, United Kingdom1
Department of Mathematics and Computer Science, Key Laboratory of IOT Application Technology of Universities in Yunnan Province, Kunming, Yunnan, P. R. China1
Technische Universitt Darmstadt, Computer Systems Group, Darmstadt, Germany1
Escuela de Ingeniería Informática, Universidad Francisco de Vitoria, Madrid, Spain1
FRAV, University Rey Juan Carlos, Móstoles, Spain1
Centro de Ciencias Aplicadas y Desarrollo Tecnológico, Universidad Nacional Autónoma de México, Mexico, Mexico1
Graduate University of Chinese Academy of Sciences, Beijing, Chine1
IBM Research T. J. Watson Center, U.S.A1
Math Dept, Faculty of Science, Helwan University, Cairo, Egypt1
Computers and Systems Dept., Electronic Research Institute., Cairo, Egypt1
LaBRI, CNRS, UMR 5800, F-33400 Talence, France1
Bournemouth University, Poole, UK1
Collaborative Innovation Center for Geospatial Information Technology, Wuhan, China1
Grupo Technología del Habla, E.T.S.I. Telecomunicación (ETSIT) Universidad Politécnica de Madrid (UPM), Madrid, Spain1
Department of Computer Science, Faculty of Education-Shabwa, University of Aden, Aden, Yemen1
School of Computer Science, Univerisiti Sains Malaysia, Gelugor, Malaysia1
Queen Mary University of London (United Kingdom)1
LG Electronics, Inc., South Korea1
School of Information Technology and Engineering, VIT University, Vellore, India1
Fundamental and Applied Science Department, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak Malaysia1
Hewlett-Packard Labs, Palo Alto, CA, USA1
Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350108, China1
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China1
Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China1
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy1
Department of Electrical and Computer Engineering, University of Toronto, Canada1
Naresuan University, Thailand1
BME, Tampere University of Technology, Tampere, Finland1
DEI, University of Padua, Padua, Italy1
Department of Computer Science, Xiamen University, Xiamen, China1
Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Department of Information Management, College of Management, National United University, Miaoli, Taiwan1
Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Information Technology Department, Cairo University, 5 Ahmed Zewal St., Orman, Giza, Egypt1
University of Nottingham at Ningbo, China1
Google, Duke University, NC, USA1
Department of Statistics, University of California at Berkeley, Berkeley, USA1
International Computer Science Institute, University of California at Berkeley, Berkeley, USA1
Computer Science Department, Rensselaer Polytechnic Institute, Troy, USA1
College of Information Science and Technology, Agricultural University of Hebei, Baoding, China1
Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China1
Anhui University & Chinese Academy of Sciences, Hefei, China1
Department of Computer Science and Engineering, Chinese University of Hong Kong, China1
Chair of Cybernetics and Robotics, Electronics Faculty, Wroclaw University of Technology1
Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada1
ISEN Lille, Yncrea Hauts-de-France, France1
IMT Lille Douai, Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France1
U.S. Naval Research Laboratory, Washington DC, USA1
U.S. Naval Research Laboratory, Washington, DC 20375, USA1
Mixed Reality Laboratory, University of Nottingham, Nottingham, U.K.1
Nokia Research Center Hollywood,  1
Microsoft Research,1
Computer Science and Artificial Intelligence Laboratory, MIT,  1
Computer Graphics Laboratory, Department of Informatics & Telecommunications, University of Athens, Athens, Greece1
Walt Disney Imagineering, USA1
Dept. of ECE, College of Engineering, Northeastern University, Boston, USA1
Australian Centre for Visual Technologies, University of Adelaide, Adelaide, Australia1
Signals and Systems Group, Department of Electrical Engineering, Mathematics and Computer Science, University of Twente, Netherlands1
Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands1
Dept of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Dept. of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
The Technion–Israel Institute of Technology, Haifa1
The Open University of Israel, Raanana1
Weizmann Institute of Science, Rehovot1
University of Chile, Chile1
Charles University in Prague, Czech Republic1
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AEBC, Nanyang Environment & Water Research Institute, Nanyang Technological University, Singapore1
Universitat de Barcelona - CVC, Spain1
Chalearn, Berkeley, California, USA1
INAOE, Mexico1
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Institute of Information Technology, Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria1
The University of North Carolina at Charlotte, Charlotte, USA1
SunFlare Company, Shinjuku Hirose Bldg, Yotsuya 4-7, Shinjuku-ku, Tokyo, Japan 160-0004, Email: tokuda_n@sunflare.co.jp1
Computer Science Department, Univerisy of Northern British Columbia, Prince George, BC, Canada V2N 4Z9, E-mail: lchen@ieee.org1
Peking University & Alibaba Group, Beijing, China1
Key Laboratory of Information Security and Intelligent Control of Shandong Province, Shandong Youth University of Political Science, Jinan, China1
Elektrik ve Elektronik Müh. Böl., Dokuz Eylül Üniversitesi İzmir, TÜRKİYE1
Fen Bilimleri Enstitüsü, Dokuz Eylül Üniversitesi İzmir, TÜRKİYE1
Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia1
OR1
CMU, USA1
National Engineering Research Center for E-Learning, HuaZhong Normal University, Wuhan 430079, China1
School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China1
University of Guelph, Guelph, Ontario, Canada1
School of Engineering, University of Guelph, Guelph, N1G2W1 Ontario, Canada1
Electronics and Communication Dept., Chhotubhai Gopalbhai Patel Institute of Technology, Surat, India1
Chair of Signals and Systems, Department of EEMCS, University of Twente, Twente, The Netherlands1
AISIN AW Co., Ltd., Aichi, Japan1
OxCNL, University of Oxford, Oxford, U.K.1
Korea Electronics Technology Institute, Bundang-gu, Seongnam-si, Republic of Korea1
Inst. de Telecomunicações, Fac. de Ciências da Universidade do Porto, Porto, Portugal1
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA1
Institute of Mathematical Science, University of Malaya1
UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia1
Universiti Tunku Abdul Rahman1
Science and Technology on Communication Information Security Control Laboratory, Jiangnan Electronic Communication Institute, Jiaxing, China1
Zhejiang Future Technology Institute, Jiaxing, China1
University of Michigan-Ann Arbor, United States1
Department of Informatics 8 Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece1
ZTE Corporation, Shenzhen, China1
School of Computer Software, Nanjing University of Information Science and Technology, Nanjing, China1
Enjoyor Co., Ltd, Hangzhou, China1
College of Mathematics and Statistics, Shenzhen Key Laboratory of Media Security, Shenzhen University, China1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong1
Institute of Engineering and Management, Kolkata, India1
Siemens Corporate Technology, Munich, Germany1
Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China1
School of Information and Computer Science, Aalto University, Aalto, Finland1
National ICT Australia1
P.G Demidov Yaroslavl State University, Artificial Intelligence Center, Yaroslavl, Russian Federation1
Simon Fraser University, Vancouver, BC, Canada1
Zhejiang University of Media and Communications, Hangzhou, Zhejiang, China1
Simon Fraser University, Surry, BC, Canada1
International Computer Science Institute, Berkeley, USA1
Instituto de Computação, Universidade Federal Fluminense, São Domingos, 24210-240 Niterói-RJ, Brazil1
Department of Electronics and Telecommunication, College of Engineering, Pune, India1
Department of Electronics and Telecommunication, Maharashtra Institute of Technology, Pune, India1
Machine Vision Group, Infotech Oulu and Department of Electrical and Information Engineering, University of Oulu, Finland1
Northwestern Polytechnic University, Xi’an, China1
Department of Electrical and Electronics Engineering, University of Jaffna, Sri Lanka1
Department of Electronic Technology, China Maritime Police Academy, Ningbo, China1
Department of Animation, Indonesian Institute of The Arts, Yogyakarta, Indonesia1
Polish-Japanese Institute of Information Technology, Warszawa, Poland1
Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences (SGGW), Warsaw, Poland1
AGH University of Science and Technology, Kraków, Poland1
Polish-Japanese Institute of Information Technology, Warsaw, Poland1
Department of Computer Science, Cornell University, Ithaca, NY, USA1
IBM T.J. Watson Research Center, Hawthorne1
Microsoft Live Labs Research, Redmond1
Carnegie Mellon University, Pittsburgh1
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany1
Silent Talker Ltd1
George Mason University, USA1
Embedded Systems Research Group, Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand1
- K.U.Leuven-ESAT-Psi, Belgium1
Electronics Research Institute, Sharif University of Technology, Tehran, Iran1
Adobe Systems Inc. &, University of Washington, USA1
Dept. of Elec. Eng., Port Said University, Egypt1
Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia1
Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: stefan.duffner@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: christophe.garcia@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: franck.mamalet@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: sebastien.roux@orange-ftgroup.com1
Maharshi Dayanand University, Rohtak, Haryana, India1
Computer Vision Group, Department of Informatics, University of Hamburg, Hamburg, Germany1
Institute of Computer Science VI, University of Bonn, Bonn, Germany1
Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea1
Institut Pascal, Université Blaise Pascal/CNRS, Clermont-Ferrand, France1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. N.Poh@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. J.Kittler@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. O.Fatukasi@surrey.ac.uk1
School of Information and Communication Technology, Griffith University, QLD, Australia1
School of Information Technology and Electrical Engineering, The University of Queensland, QLD, Australia1
Department of Computer Science, University of Sherbrooke, Sherbrooke, Canada1
Department of Computing, Macquarie University, NSW, Australia1
School of Computer Science and Engineering, The University of New South Wales, NSW, Australia1
Dipartimento di Ingegneria Enzo Ferrari-University of Modena and Reggio Emilia, Modena, Italy1
School of Electronic Science and Engineering, National University of Defense Technology, China1
School of Software Engineering, East China Normal University, China1
Department of Electrical and Computer Engineering, University of Louisville, USA1
FernUniversität , Hagen, Germany1
Universidad Tecnica Federico Santa Maria , Valparaiso, Chile1
Staffordshire University , Staffordshire, United Kingdom1
Department of Digital Media Technology, Huanggang Normal University, China1
Robotics Institute, Shanghai Jiao Tong University, Shanghai, China1
Valeo Vision Systems, Ireland1
Graduate School of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan1
Department of Electronics, AGH University of Science and Technology, Krakow, Poland1
Department of Computer Science, AGH University of Science and Technology, Krakow, Poland1
ENSTA ParisTech, 32 Blvd Victor, 70539 Paris Cedex 151
Department of Computer Science & Engineering, SSN College of Engineering, Chennai, India1
Dept. of Convergence, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Korea1
Faculty of Electrical Engineering, Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza, Brazil1
Center for Behavior Imaging and the School of Interactive Computing at the Georgia Institute of Technology, Atlanta, 30332, USA1
University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China1
National ICT Australia, Canberra1
Electrical and Electronic Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran1
Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran1
College of Mathematics and Information Engineering, Jiaxing University, Jiaxing, China1
State Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, China1
Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China1
Science and Technology on Integrated Information System Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China1
Department of Mathematics and the State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China1
Department of Mathematics, Zhejiang University, Hangzhou, China1
Institute of Informatics and Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
School of Mathematics, University of Manchester, Manchester, U.K.1
Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: king@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: lyu@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: jkzhu@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: hbdeng@cse.cuhk.edu.hk1
Department of Computer Science & Engineering, Madhav Institute of Technology & Science, Gwalior, India1
Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK1
School of Electronics and Information, Guangdong Polytechnic Normal University, Guangzhou, China1
College of Electronics and Information, Xi’an Polytechnic University, Xi’an, China1
School of Information, Central University of Finance and Economics (CUFE), Beijing, China1
Dept. of Stat., Carnegie Mellon Univ., Pittsburgh, PA, USA1
Department of Information Engineering and Computer Science, Feng Chia University, Taiwan1
School of Electronic Science and Engineering, National ASIC Research and Engineering Center, Southeast University, Nanjing, China1
Electronics and Telecommunications Research Institute (ETRI), Republic of Korea1
Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan1
School of Software Engineering, Ministry of Education Key Laboratory, Dependable Service Computing in Cyber Physical Society, Chongqing University, Chongqing, People’s Republic of China1
College of Computer Science, Chongqing University, Chongqing, People’s Republic of China1
Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, USA1
Faculty member of Department of Computer Engineering, Sheikh Bahaei University, Isfahan, Iran1
Department of Computer, Engineering, Sheikh Bahaei, University, Isfahan, Iran1
Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou, China1
Center for Intelligent Machines, Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada1
School of Design, Hunan University, Changsha, China1
National University of Singapore1
Computer Science and Engineering, POSTECH, Pohang, 790-784, South Korea1
Information and Communication Engineering, DGIST, Daegu, South Korea1
Electronic Engineering and Computer Science, University of Michigan, Ann Arbor, United States1
Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, China1
School of Mathematics and Statistics, The University of Western Australia, Nedlands, WA, Australia1
Department of Computer Science and Engineering, Qatar University, Doha, Qatar1
Pudong Branch, China Mobile Group Shanghai, Company Limited, Shanghai, China1
Department of Computer Science and Technology, Beijing Electronic Science and Technology Institute, Beijing, China1
Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing, China1
School of Computer Information and Engineering, Beijing Technology and Business University, Beijing, China1
College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China1
Engineering and Technology College, Sichuan Open University, Chengdu, China1
Department of Computer Science, Shanghai Jiao Tong University, Shanghai, China1
Department of Computer Science, University College London, London, U.K.1
Dpt. Matemàtiques i Informàtica, UIB, Ctra. Valldemossa Km. 7.5, 07122 Palma de Mallorca, Spain1
CMLA, ENS Cachan, 61 Av. du Président Wilson, 94235 Cachan CEDEX, France1
Department of Mechanical Engineering, Istanbul Technical University, Beyoglu, Istanbul, Turkey1
Department of Mechatronics Engineering, Graduate School of Science Engineering and Technology, Istanbul Technical University, Maslak, Istanbul, Turkey1
Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China1
VNU University of Science, Vietnam National University, Hanoi, Vietnam1
University of Information and Communication Technology, Thai Nguyen University, Quyet Thang, Thai Nguyen City, Vietnam1
Information Science Department, Center for Information Science and Technology Computer, Temple University, Philadelphia, USA1
Department of Electronics Engineering and Computer Science, Tung-Fang Design University, Kaohsiung County, Taiwan1
Electrical Engineering Department, Bu-Ali Sina University. Hamedan, Iran1
Autism Clinic for Translational Research, Brain & Mind Research Institute, Central Clinical School, Faculty of Medicine, University of Sydney, Sydney, Australia1
iMinds Krook.LAB, Ghent, Belgium1
Electronics and Information Systems Department, Ghent University - iMinds, Ghent, Belgium1
Modeling of Systems And Internet Communication, University of Antwerp - iMinds, Antwerp, Belgium1
Department of Information Technology - IBCN, Ghent University - iMinds, Ghent, Belgium1
Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland1
Department of Computer Engineering, Yeungnam University, Korea1
Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra-136119, India1
Université Laval, Québec, Canada1
McGill University, Montreal, Canada1
Université de Rennes 1, Rennes, France1
Ulm University of Applied Sciences, Ulm, Germany1
DKFZ, Heidelberg, Germany1
Université de Sherbrooke, Sherbrooke, Canada1
SmartPeep, Masai, Malaysia1
Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, Taiwan1
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing, China1
Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan1
Dept. of Information Engineering, Faculty of Engineering, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan1
Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan, +81 25 262 74991
Graduate School at Shenzhen, Tsinghua University, China1
Signal Processing Laboratory, Swiss Federal Institute of Technology, Lausanne, Switzerland1
Department of Medicine, University of British, Columbia, Canada1
School of Engineering of São Carlos, USP, São Carlos, Brazil1
College of Information Engineering and Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China1
NTNU, Norway1
Toyota Technological Institute at Chicago, 1427 E. 60th Street, IL 60637, USA1
LEAR, INRIA Grenoble Rhône-Alpes1
Digital Media Institute, Hunan University, Changsha, 410082 P.R. China1
College of information science and engineering, Hunan University, Changsha, 410082 P.R. China1
Department of Electric and Electronic Engineering, Avrasya University, Trabzon, Turkey1
Department of Electric and Electronic Engineering, Selçuk University, Konya, Turkey1
BIWI, ETH Zürich and MPI Informatik, Switzerland1
Electrical Engineering Department, University of Azad Jammu and Kashmir, Muzaffarabad (AJK), Pakistan1
Electrical (Power) Engineering Department, Mirpur University of Science and Technology, (AJK), Pakistan1
LMU Munich, Germany and Munich University of Applied Sciences, Germany1
Department of IT Sree Vidyanikethan Engineering College Tirupati, India1
Department of ECE, NEC, Narasaraopet, India1
Department of ECE Anurag Group of Institutions, Hyderabad, India1
Department of ECE Sree Vidyanikethan Engineering College, Tirupati, India1
Yonsei University, South Korea1
ACM Professional Specialist in Artificial Intelligence1
Université du Quebec a Rimouski (UQAR)1
Autonomous University of Madrid, Madrid, Spain1
Electrical and Electronics Engineering, Nanyang Technological University, exdjiang@ntu.edu.sg1
IT Service, University of Reading, Reading, United Kingdom, RG6 6AY1
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China, 3002041
Department of Computer Engineering, Punjabi University, Patiala, India1
Computer Science & Engineering, UIET, Chandigarh, India1
Department of Informatics, Universidade Federal do Paraná, Brazil1
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China1
Edward S. Rogers, Sr. Department of Electrical and computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada1
First Research Institute of the Ministry of Public Security of People’s Republic of China, Beijing, China1
Department of Electrical and Computer Engineering, Nanyang Technological University, Singapore1
Advanced Digital Science Center, Singapore1
Lancaster University, Lancaster, United Kingdom1
System Engineering Research Group, ARKADIUS, Universidad de Medellin, Colombia1
Universidad Nacional de San Juan, Argentina1
School of Electronics, Electrical and Computer Engineering University of Birmingham, UK1
State Key Laboratory of CAD&CG, College of Computer Science, Zhejiang University, Hangzhou, China1
Bilgisayar Mühendisliği Bölümü, İstanbul Üniversitesi, Turkey1
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Turkey1
School of EEE, NTU, Singapore1
I2R, A*STAR, Singapore1
Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur. Malaysia1
Faculty of Information Technology, Multimedia University, Selangor Darul Ehsan. Malaysia1
Electrical and Computer Engineering Department, University of British Columbia, Vancouver, BC, Canada1
TUBITAK - UZAY, Ankara, Turkey1
Cairo University, Biomedical Engineering, Cairo, Egypt1
Dept. of Comput. Sci. & Info. Eng., National Yunlin Univ. of Science & Technology, Taiwan1
German Research Center for Artificial Intelligence (DFKI), University of Kaiserslautern, Kaiserslautern, Germany1
National Laboratory of Pattern Recognition, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China1
School of Information Science & Technology, Jiujiang University, Jiujiang, China1
Department of Electrical & Computer Engineering Dalhousie University Halifax, Nova Scotia B3J 2X4, Canada1
Computer Vision Research Lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
University College London, UK1
School of Information Science and Engineering, Yunnan University, Kunming, China1
Digital Signal Processing Research Lab, Department of Electrical Engineering, Isfahan University of Technology, Iran1
Islamic Azad University of Najaf Abad, Isfahan, Iran1
Kielce University of Technology, Kielce, Poland1
Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy1
Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy1
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China, Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen University, Ministry of Education Guangzhou, China1
Key Laboratory of Urban Planning and Decision-Making Simulation, Shenzhen, China1
Universität Bielefeld, Bielefeld, Germany1
INRIA Grenoble Rhône-Alpes, Montobonnot, France1
Department of Computer Science, South Tehran Branch, Islamic Azad University, Tehran, Iran1
Institut de Robòtica i Informàtica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain1
Catchoom, Barcelona, Spain1
Free University of Bozen-Bolzano, Bolzano, Italy1
Division of Mechanical Convergence Engineering, Silla University, Busan, 46958, Korea1
Ternopil National Economic University1
New Jersey Institute of Technology, University Heights, Newark, USA1
National Institute of Informatics, Chiyoda-ku, Japan1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. svetha@cs.curtin.edu.au1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. wanquan@cs.curtin.edu.au1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. senjian@cs.curtin.edu.au1
Institute of Cyber-Systems and Control, Department of Control Science and Engineering, Zhejiang University, Hangzhou, China1
Faculty of Science, Informatics Institute, Intelligent Robotics Lab, University of Amsterdam, Amsterdam, The Netherlands1
School of Computing Science, Computer Science Department, Carnegie Mellon University, Pittsburgh, USA1
Computer Science Institute VI: Autonomous Intelligent Systems, University Bonn, Bonn, Germany1
Shenzhen Key Laboratory of Media Security, College of Mathematics and Statistics, Shenzhen University, Shenzhen, China1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong Baptist University (HKBU), Hong Kong1
Smart Network System Institute, Institute for Information Industry, Taipei, Taiwan1
Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan1
Department of Computer Sciences, Thompson Rivers University, Kamloops, BC, Canada1
Los Alamos National Laboratory and University Of Washington1
Instituto Superior Técnico, Instituto de Telecomunicações, Lisbon, Portugal1
Technical University of Lisbon, Lisbon, Portugal1
Institue for Information Technology, National Research Councilof Canada, NB, Moncton, E1A 7R11
Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA1
Adobe Research, San Jose, CA1
Centre for Quantum Computation and Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA1
Commonwealth Scientific and Industrial Research Organization, Marsfield, NSW, Australia1
Centre of Quantum Computation and Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Salvatore Maugeri Foundation, IRCCS, Scientific Institute of Telese Terme (BN), Telese Terme, Italy1
Division of Psychology and Language Sciences, University College of London, London, UK1
Neuropsychology Laboratory, Department of Psychology, Second University of Naples, Caserta, Italy1
GIPSA-Laboratory, Université Grenoble Alpes, Grenoble, France1
Faculty of Information Technology, Vietnam Maritime University, Haiphong, Vietnam1
Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Department of Computer Science, The State University of New York at Binghamton, Binghamton , NY, USA1
School of Mathematics and Computer Science, Quanzhou Normal University, Quanzhou, China1
Department of Electrical Engineering, Chang Gung University, Taipei, Taiwan1
School of Information Technology, Monash University Malaysia, Bandar Sunway, Malaysia1
College of Engineering, Huaqiao University, Fujian, China1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA. E-mail: tu@research.ge.com1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA. E-mail: liux@research.ge.com1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA. E-mail: wheeler@research.ge.com1
Computer Science Department, University of Maryland, College Park, USA1
Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China1
Digital Media Art Department, Sichuan Film and Television University, Chengdu, China1
Business School of Sichuan University, Chengdu, China1
School of Electrical Engineering, Queen Mary University of London, UK1
Université Joseph Fourier and INRIA Rhône-Alpes, Grenoble, France1
Department of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow, India1
Multimedia and Information Security Lab, ABV-Indian Institute of Information Technology and Management, Gwalior, India1
State Key Laboratory of Tribology Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China1
Department of Electrical and Computer Engineering and the Center for Automation Research, University of Maryland, College Park, MD, USA1
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye1
LE2I Lab, UMR CNRS 6306, University of Burgundy, Dijon, France1
CSE Department, College of Engineering, Qatar University, Doha, Qatar1
Department of Electrical Engineering, University of Windsor, Ontario, Canada1
Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan1
Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece1
Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. sabah.jassim@buckingham.ac.uk1
Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. harin.sellahewa@buckingham.ac.uk1
University of California at Los Angeles, Los Angeles1
NARI Group Corporation, Nanjing, China1
Technion, Israel Institute of Technology, Haifa1
Yahoo! Research, Haifa1
Alibaba Group, Zhejiang, People’s Republic of China1
Computer Science, Arizona State University, Tempe, USA1
DIMACS CORE, Rutgers Univ., Piscataway, NJ, USA1
School of Information Science and Engineering, Shenyang University of Technology, China1
Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8603, Japan1
LIRIS, INSA-Lyon, CNRS, UMR5205, University of Lyon, Lyon, France1
REGIM-Lab, ENIS, University of Sfax, Sfax, Tunisia1
School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China1
SONY Electronics Inc., San Jose, CA, 95112, USA1
Florida Institute of Technology1
Institute of Public Administration, Riyadh, Saudi Arabia1
Department of Computer Science, Ocean University of China, Qingdao, China1
Center for Imaging Sciences, The University of Manchester, Manchester, UK1
Department of Electronic Engineering, Ocean University of China, Qingdao, China1
Chung-Ang University, Computer Science and Engineering Dpt., Korea1
Research and Academic Computer Network (NASK), Biometrics Laboratory, Poland1
Department of Computational and Applied Mathematics, Rice University, Houston, USA1
University of Rochester, Rochester, USA1
Department of Computing, University of Surrey, Guildford, Surrey, GU2 7XH, UK1
Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, Portugal1
Intelligent Vision Research Lab, Federal University of Bahia, Brazil1
College of Mathematics and Computational Science, Shenzhen University, China, 5180601
University of Sfax, CES Laboratory, Tunisia1
University of Burgundy, Le2i, BP 47870 21078 Dijon, France; University of Sfax, CES Laboratory, Tunisia1
University of Oslo, Oslo, Norway1
School of Information Engineering, Guangdong University of Technology, Guangzhou, China1
K.U. Leuven, ESAT-PSI, Leuven, Belgium1
University of Reading, UK1
Robotics and Computer Vision Laboratory, Computer Vision and Machine Learning Research Group, College of Science and Technology, University of Central Lancashire, Preston, UK1
Visual Information Laboratory, Department of Computer Science, University of Bristol, Bristol, UK1
Texas A&M University, college station, TX, USA1
Texas A&M Univerisity, College Station, TX, USA1
Texas A&M University, College Station, TX, USA1
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, China1
OFFIS - Institute for Information Technology, Oldenburg, Lower-Saxony, Germany1
Dormity.com®, Sant Cugat del Vallès, Spain1
Servei Universitari de Recerca en Fisioteràpia (S.U.R.F), Escola Universitària Gimbernat, Sant Cugat del Vallès, Spain1
HERE Technologies, 425 W Randolph St, Chicago, Illinois, 60606, USA1
School of Advanced Technology and Science, Tokushima University, Tokushima, 770-8501, Japan1
NOAA /NGDC, 325 Broadway, Boulder, CO 80305, USA1
Microsoft Research, Redmond, United States1
Division of Computing Science & Maths, School of Natural Sciences, University of Stirling, Stirling, UK1
Department of Electrical & Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China1
College of Information Science and Engineering, Henan University of Science and Technology, Luoyang, China1
Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE1
College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China1
Masaryk University , Brno, Czech Republic1
Rehabilitationswissenschaften, Technische Universität Dortmund, Dortmund, Germany1
Institute Integriert Studieren, Universität Linz, Linz, Austria1
Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, Montréal, QC, Canada1
Carnegie Mellon University, Pittsburgh, Pa., USA1
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China1
The Key Laboratory of Embedded Systems and Service, Tongji University, Shanghai 200092, China1
Dept. of Electronics Engineering, Sangmyung University, Seoul, Korea1
Dept. of Copyright Protection, Sangmyung University, Seoul, Korea1
Video Processing and Understanding Lab, Universidad Autonoma de Madrid, Spain1
Mobile Communications R&D, LG Electronics, Inc., Seoul, Korea1
College of Computer Science and Electronic Engineering, Hunan Key Laboratory of Dependable Systems and Network, Hunan University, Changsha, People’s Republic of China1
Istanbul Technical University, Turkey1
IOC Research Institute, Universitat Politècnica de Catalunya, Barcelona, Spain1
Sukhoi State Technical University of Gomel, Gomel, Belarus1
Joint Institute for Nuclear Research, Dubna, Moscow oblast, Russia1
Institute of Computer Engineering, University of Lübeck, Lübeck, Germany1
Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Modena, Italia1
University of Minnesota, Minneapolis, USA1
Forensic and Security Laboratory, School of Computer Engineering, Nanyang Technological University, Singapore, 6397981
Key Laboratory of System Controal and Information Processing, Ministry of Education of China, Shanghai, People’s Republic of China1
Department of Electrical Engineering, University of Petroleum (East China), Shandong, China1
TuSimple1
HRL Laboratories, LLC, Malibu, USA1
Department of EECS, University of California, Berkeley, USA1
Department of ECE, University of Illinois at Urbana-Champaign, Coordinate Science Laboratory, Urbana, USA1
Centre for Signal Processing, Department of EIE, The Hong Kong, Polytechnic University1
School of Informatics, The University of Edinburgh 11 Crichton Street, Edinburgh, EH8 9LE, United Kingdom1
Centre for Vision, Speech and Signal Processing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK1
Graduate School, Xi'an University of Technology, China1
Faculty of Computer Science and Engineering, Xi'an University of Technology, China1
CEDRIC-Conservatoire National des Arts et Métiers, Paris, France1
School of Computer Software, Tianjin University, Tianjin, 300350, China1
USTECH(Beijing) Technology Co. Ltd., China1
Department of Fundamental Research, PLA Army Engineering University, China1
PLA Army Engineering University, College of Communication Engineering, China1
EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bicêtre, France1
L3i Laboratory, Université de La Rochelle, La Rochelle cedex 1, France1
Computer Vision Center, Departamento de Ciències de la Computació, Edifici O, Universitat Autònoma de Barcelona, Barcelona, Spain1
Advanced Digital Sciences Center at University of Illinois, Singapore / Nanyang Technological University, Singapore1
Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China1
Bilgisayar Müh. Bölümü, Orta Doğu Teknik Üniversitesi, Turkey1
Department of Informatics, Aristotle University of Thessaloniki, costas@aiia.csd.auth.gr1
Department of Informatics, Aristotle University of Thessaloniki, galba@aiia.csd.auth.gr1
LIAMA, French National Institute for Research in Computer Science and Control, Paris, France1
Intel Laboratory China, Beijing, China1
School of electrical and information engineering, Shandong University At Weihai, China1
School of Electronic and Electrical Engineering, Yonsei University, Seoul, South Korea1
Faculty of Information Science and Technology, Multimedia University, Malaysia1
School of Computing, National University of Singapore1
School of Computer Science and Technology, Harbin Institute of Technology, 150080 China1
City University, Kowloon Tong, Hong Kong1
Radboud University, EC Nijmegen, The Netherlands1
TNO, Oude Waalsdorperweg, AK The Hague, The Netherlands1
Liaocheng University, Liaocheng, China1
School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China1
Fraunhofer FKIE, Wachtberg, Germany1
Institute of Computer Science III, University of Bonn, Bonn, Germany1
Dept. of Comp. Eng. Fac. of Eng., Gazi University Ankara, Turkey1
DAIS, University of Venice, Italy1
German Aerospace Center (DLR), Germany1
Computer Science Depart., Rochester University, USA1
Computer Science Depart., Cornell University, USA1
College of Communication and Information Engineering, Xi'an University of Science and Technology, China1
Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Hunan University of Humanities, Science and Technology, China1
Changzhou University, Changzhou, China1
High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China1
Concordia Institute for Information Systems Engineering (CIISE), 1515 St. Catherine West, Montreal, Quebec H3G 2W1, CANADA1
Dept. of Computer Science and Software Engineering, Concordia University, 1515 St. Catherine West, Montreal, Quebec H3G 2W1, CANADA1
School of Engineering and Advanced Technology, Massey University1
Department of Electronic Computer Engineering, Hong Kong University of Science Technology1
Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China1
Microsoft, Inc., Seattle, WA, USA1
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA1
Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA1
Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan1
School of Engineering, The University of Edinburgh, Edinburgh, U.K.1
College of Software and Communication Engineering, Xiangnan University, Chenzhou, China1
Department of Computer and Radio Communications Engineering, Korea University, Seoul, Republic of Korea1
School of Information Engineering, Henan University of Science and Technology, Luoyang, China1
LIG, CNRS, Grenoble, Cedex1
LIGM (UMR 8049), École des Ponts, UPE, Champs-sur-Marne, France1
Faculty of Information Technology, Macau University of Science and Technology, Macau1
Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong1
University of Tours, France1
Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, Iowa1
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York1
Institute for Transportation, Iowa State University, Ames, Iowa1
RMIT University, Vietnam1
Tolendata Singapore R&D Centre Private Limited, Singapore1
College of Computer Science & Software Engineering, Shenzhen University, China 5180601
School of Computer Science and Engineering, University of Science and Technology Liaoning, Anshan, China1
Beihai Yinhe Industry Investment Co., Ltd., China1
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China1
School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London E1 4NS, United Kingdom1
Department of Computer Science, University College London, Gower Street, London WC1E 6BT, United Kingdom1
Department of Information Technology, RCC Institute of Information Technology, Kolkata, India1
Stanford University and Coursera1
Black Cat Science Inc., Boston, MA 02467, United States of America1
Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH 43209, United States of America1
Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America1
Siemens Molecular Imaging Ltd, Oxford, UK1
Mirada Medical Ltd, Oxford, UK1
Department of Engineering Science, University of Oxford, Oxford, UK1
Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708-0291, China1
Center of Excellence in Intelligent Engineering Systems (CEIES) and Electrical & Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia1
Department of Electronics and Computer Engineering, Korea University, Seoul, Korea1
University of Alberta, Alberta, Canada1
Arizona State University, Tempe AZ, USA1
IMT Lille Douai, Lille, France1
China University of Mining and Technology, China1
NAOC, Chinese Academy of Sciences, China1
ROSE Lab, Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Reallusion Corporation1
National Taiwan Normal University1
Defence Science and Technology Organisation (DSTO), Edinburgh, Australia1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey1
Computer Enginering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey1
The University of Tokyo, Bunkyo, Tokyo, Japan1
Keio University, Yokohama City, Japan1
National Institute of Advanced Industrial Science and Technology (AIST), Koto, Tokyo, Japan1
Computer Engineering Department, University at Albany, State University of New York, Albany, USA1
Computer Science Department, University at Albany, State University of New York, Albany, USA1
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies, Korea1
University of Technology Sydney, Broadway, Australia1
University of Ottawa, Ottawa, Canada1
Fujitsu Kyushu Network Technologies Limited, Fukuoka, Japan1
Research Center for Institute of Information Science, Academia Sinica, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University1
Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA1
Open University of Israel, Ra’anana, Israel1
Science and Technology on Information, Systems Engineering Laboratory, Nanjing 210007, China1
Robotics Program, KAIST, Daejeon, Republic of Korea1
College of Mechanical and Material Engineering, North China University of Technology, Beijing, P.R. China1
Multimedia Communications Laboratory at University of Information Technology, Vietnam National University, Ho Chi Minh City, Vietnam1
Department of Statistics, Carnegie Mellon University, Pittsburgh, USA1
Department of Communications and Networking (COMNET), Ambient Intelligence Group, Aalto University, Aalto, Finland1
Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany1
Psychology, University of South Florida, Tampa, USA1
Department of Neuropsychiatry, Netherlands Institute for Neuroscience, Amsterdam Zuidoost, The Netherlands1
Keio University, Minato-ku, Japan1
Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran1
Multimedia Lab, Department of Electrical and Computer Engineering, University of Toronto, Canada1
Halmstad University, Sweden1
Faculty of Engineering, University of Porto, Porto, Portugal1
INESC-TEC, Porto, Portugal1
Uppsala University, Uppsala, Sweden1
The Mitre Corp, McLean, USA1
University of Modena and Reggio Emilia, Modena, Italy1
Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. jalba@gts.tsc.uvigo.es1
Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. danisub@gts.tsc.uvigo.es1
CVisionLab, LLC, Taganrog, Russia1
Strategy Office, Information and Communications Headquarters, Nagoya University, Japan1
School of Electrical Engineering and Automation, Qilu University of Technology, Jinan, China1
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey1
Elektrik-Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey1
School of Information Technologies, The University of Sydney, NSW, Australia1
KU Leuven (BE)1
Information Science School, Guangdong University of Finance and Economics, China1
Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK1
Keio-National University of Singapore (NUS) Connective Ubiquitous Technology for Embodiments Center, Interactive and Digital Media Institute, NUS, Singapore1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China. wgao@jdl.ac.cn1
Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China; Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, China. xlchen@jdl.ac.cn1
Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China; Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, China. sgshan@jdl.ac.cn1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China. ysu@jdl.ac.cn1
School of Cancer and Enabling Sciences, Stopford Building, University of Manchester, Manchester, UK1
Department of Economics and Statistics, Università degli Studi di Napoli “Federico II”, Italy1
Department of Industrial Engineering, Università degli Studi di Napoli “Federico II”, Italy1
FAST, Supélec, Avenue de la Boulaie, Cesson-Sévigné, France1
ISIR laboratory, Pierre and Marie Curie university, Paris Cedex 05, France1
Department of Computer Science, Wrocław University of Technology, Wrocław, Poland1
School of Electrical and Electronics Engineering, College of Engineering, Yonsei University, Seoul, Korea1
Department of Smart Systems Software, Soongsil University, Seoul, Korea1
Department of Information and Communication Technology, Soongsil University, Seoul, Korea1
School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia1
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. mjchung@ee.kaist.ac.kr, bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. akh@cheonji.kaist.ac.kr, bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Information Security Research Division, Electronics and Telecommunications Research Institute, Yuseong-gu, Daejeon, 305-700, Republic of Korea. bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Department of Computer Science and Engineering, RCC Institute of Information Technology, Kolkata, India1
Datang Guoxin Binhai Offshore Wind Power Co., Ltd1
Department of Computer & Control Engineering, Politecnico di Torino, Torino, Italy1
FAST National University of Computer and Emerging Sciences, Peshawar, Pakistan1
Department of Information Engineering and Mathematics, Universita di Siena, Siena, Italy1
Departement of Engineering Education, Utah State University, USA1
Mathematics Department, School of Computer Science, Bina Nusantara University, Indonesia1
Faculty of Science and Technology, Communication University of China, Beijing, China1
Science and Technology Department, Communication University of China, Beijing, China1
Collaborative Innovation Center, Communication University of China, Beijing, China1
Guru Gobind Singh Indraprastha University, University School of Information & Communication Technology, Sector 16-C, Dwarka, New Delhi-110078, India1
German National Library of Science and Technology (TIB), Hannover, Germany1
taglicht media Film- & Fernsehproduktion GmbH, Köln, Germany1
Department of Film and Digital Media, Seokyeong University, Seoul, Republic of Korea1
Department of MediaSoftware, Sungkyul University, Anyang-si, Republic of Korea1
Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea1
Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada N2L 3G11
School of Information System and Management, National University of Defense Technology, Changsha, China 4100731
Department of Fine Arts Hubei Institute of Fine Arts, Wuhan, China1
Université de Technologie Compiègne, 60200 Compiègne, France1
School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland1
Department of Computing and Shenzhen School, The Hong Kong Polytechnic University, Kowloon, Hong Kong1
Department of Computer Science and Technology, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China1
Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, Beijing, China1
Department of Computer Science, Aalto University, Espoo, Finland1
Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan1
Department of Engineering, Nagoya Institute of Technology, Nagoya, Japan1
East China University of Science and Technology, Shanghai, China1
ERARGE, Ergünler Ltd. Şti, İstanbul, Türkiye1
Bilişim ve Bilgi Güvenliği Teknolojileri Araştırma Merkezi, Türkiye Bilimsel Ve Teknolojik Araştırma Merkezi, Kocaeli, Türkiye1
School of Information and Communication Engr., Sungkyunkwan University, Suwon, Korea1
Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea1
Center for Intelligent Robotics at Korea Institute and Technology (KIST), Seoul, Korea1
Department of Mechanical Engineering, Korea University, Seoul, Korea1
Joanneum Research, Graz1
Swiss Federal Institute of Technology, Lausanne1
Swiss Federal Institute of Technology, Lausanne and PatternLab1
University of Fribourg1
Univeristy of Applied Sciences Western Switzerland, Sierre and University of Fribourg1
Commissariat à l'Energie Atomique1
Pusan National University, Busan, Korea1
Department of Computer Science, Minjiang University, Fuzhou, China1
Virtual Reality and Interactive Techniques Institute, East China Jiaotong University, Nanchang, China1
Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand1
Wroclaw University of Technology1
Shri JJT University, Rajasthan1
Department of ECE, CVR College of Engineering, Hyderabad1
P.T.Lee. C.N.C.E.T, Kanchipuram, Tamilnadu1
The Hong Kong Polytechnic University, Chu Hai College of Higher Education, Hong Kong, China1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom. n.poh@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom. j.kittler@surrey.ac.uk1
School of Mathematics and Computational Science, Anqing Normal University, Anqing, People’s Republic of China1
Xerox Res. Centre Eur., Meylan, France1
Concordia Institute for Information Systems Engineering Concordia University, Montreal, Canada1
Center of Electronic Technology and Information Federal University of Amazonas Manaus, Brazil1
Center of Electronic Technology and Information, Federal University of Amazonas, Manaus, Brazil1
Instituto Nokia de Tecnologia, Manaus, Brazil1
Computer Engineering Dept., Gazi University, Ankara, Turkey1
Electrical&Elecronics Engineering Dept., Gazi University, Ankara, Turkey1
Department of Interactive Media, Gachon University, Seongnam-si, South Korea1
Department of Electronic Engineering, Dankook University, Cheonan, South Korea1
Department of Computer Science, Namseoul University, Cheonan, South Korea1
Department of Applied Computer Engineering, Dankook University, Yongin-si, South Korea1
Computer Vision Centre Barcelona, Universitat Autonoma de Barcelona, Catalonia, Spain1
Norwegian Colour and Visual Computing Laboratory, Gjovik University College, Gjøvik, Norway1
Department of Neurosurgery, University of Pittsburgh, PA 15213, USA1
Institute for Analytics and Data Science School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom1
School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom1
Visual Computation, Queen Mary University, London, United Kingdom1
Indian Institute of Information Technology and Management, Madhya Pradesh, India1
School of Computer Science, Northwestern Polytechnical University, Shaanxi, China1
Department of Computer Science, New York University, New York, NY, USA1
LIRMM, University of Montpellier / CNRS, France1
University of Nîmes, France1
Faculty of Computers and Information, Ain Shams University, Egypt1
Faculty of Computers and Information, BeniSuef University, Egypt1
Department of Electrical and Computer Engineering, College of the Computer and Information Science, Northeastern University, Boston, MA, USA1
Graduate Institute of Computer Science and Information Engineering, National Taiwan University, Taiwan1
Department of Computer Science, University of Brasília, DF, Brazil 70910-9001
Department of Mechanical Engineering, University of Brasília, DF, Brazil 70910-9001
Automobile Transport Command Department, Military Transportation University, Tianjin, P.R. China1
Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China1
School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, P.R. China1
Institute of Information and Decision Technology, Dalian University of Technology, Dalian, People’s Republic of China1
ICT-ISVISION FRJDL, Institute of Computing Technology, CAS, Beijing, China1
Open Platform Department, China Mobile IOT Company Limited, Chongqing, China1
College of Computer Science, Chongqing University Chongqing, China1
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, College of Computer Science, Chongqing University, Chongqing, China1
DCNS Research, 5 rue de l'Halbrane, 44340 Bouguenais, France1
Dept. of Electronic and Communications Technology, Autonomous University of Madrid, Madrid, Spain1
Dept. of Electrical Engineering, Aswan University, 81542 Aswan, Egypt1
Department of Computer and Information Sciences, Northumbria University1
Dipartimento di Elettronica e Informazione - Politecnico di Milano. tubaro@elet.polimi.it1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. tarres@gps.tsc.upc.es1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. alrama@gps.tsc.upc.es1
Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it1
School of Computing Science and Technology, Huazhong University of Science and Technology, Wuhan, China1
Shenzhen Research Institute, Northwestern Polytechnical University, ShenZhen, China1
Natural Computing Laboratory, University Politehnica of Bucharest, Bucharest, Romania1
Image Processing and Analysis Laboratory, University Politehnica of Bucharest, Bucharest, Romania1
Department of Computer Science and Engineering, Sejong University, Seoul, South Korea1
Digital Contents Research Institute, Department of Software, Sejong University, Seoul, South Korea1
Department of Mathematics, Islamia College Peshawar, Peshawar, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan1
Advanced Medical Electronics, Maple Grove, MN 55369 USA1
Technical University of Delft, Delft, The Netherlands1
European Institute for Participatory Media, University of Applied Sciences Stralsund, Berlin, Germany1
Raytheon BBN Technologies, Cambridge, MA, USA1
IGG, University of Bonn, Bonn, Germany1
B-IT, University of Bonn, Bonn, Germany1
Multimedia Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran1
Electrical and Computer Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran1
Dept. of Electrical and Computer Engineering, Dept. of Internal Medicine, The University of Iowa, 52242, USA1
Dept. of Medical Information Technology, Carinthia University of Applied Sciences, Primoschgasse 8, A-9020 Klagenfurt, Austria1
School of Computer and Information, Anhui Polytechnic University, Wuhu, China1
Department of Control Science and Engineering, Zhejiang University, China1
Jadavpur University, Kolkata, India1
Department of Physics, Tripura University (A Central University), Suryamaninagar, India1
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar, India1
School of Electronic and Information Engineering, The Dalian University of Technology, Dalian, China1
Department of Computer Science, Queen Mary University of London, London, United Kingdom1
Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany1
University of Adelaide1
INRIA, Université Paris Sud, Université Paris Saclay, Paris, France1
Pediatrics Department, University of South Florida, Tampa, FL, USA1
Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China1
Department of Computer Science, University of Surrey, United Kingdom1
Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary1
University Politehnica of Bucharest, Bucharest, Romania1
Intelligent Robotics Research Center, Korea Electronics Technology Institute, Bucheon, 420-734, Korea1
Oracle America, Inc., Redwood City, CA, USA1
University of Maryland, Baltimore County, Baltimore, MD1
Fachbereich Medizintechnik und Technomathematik, Standort Jülich, Fachhochschule Aachen, Jülich, Germany1
Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany1
State Post Bureau Safety Supervision Center, Beijing, 100091, China1
Elektrik-Elektronik Mühendisliği Bölümü, Trakya Üniversitesi, Edirne, Türkiye1
ONERA - The French Aerospace Lab, Palaiseau, France1
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China1
Schlol of computer Science, Nanjing University of Science and Technology, Jiangsu, China1
Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal, National institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil, and University of Fortaleza (UNIFOR), Ceará, Brazil1
Clínica Otocenter, Teresina, Piauí, Brasil1
Kanazawa University, Ishikawa, Japan1
Division of Electrical Engineering and Computer Science, Kanazawa University, Ishikawa, Japan1
Department of Computer Science and Engineering, The State University of New York at Buffalo, New York, USA1
Chinese Academy of Sciences, Institute of Software, Beijing, China1
University of Barcelona, Spain1
Georgia Southern University, Statesboro, GA1
Department of Electronic Engineering, Shantou University, Shantou, China1
University of Tasmania, Hobart, Australia1
Department of Electrical Engineering, KAIST, Daejeon, South Korea1
Computer Science and Engineering, Hanyang University, Seoul, South Korea1
Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China1
School of Software Technology, Dalian University of Technology, Dalian, China1
Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, District-Durg, India1
Centre for Emerging Technologies, Jain University, Karnataka-562112, India1
Computer Science and Engineering Department, Christ University, Bangalore- 560074, India1
Department of Computer Science, University of Liverpool, Liverpool L69 3BX, United Kingdom1
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China1
INESC and University of Porto, Porto, Portugal1
University of Alicante, Spain1
Institute for Systems and Robotics, Instituto Superior Técnico, Portugal1
College of Machanical Engineering, Jiangsu Institute of Commerce, Qinhuai District Nanjing, China1
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing Shi, China1
PLA University of Science and Technology, Qinhuai District Nanjing, China1
Company of Shaanxi, China Mobile Limited, Xi’an, China1
Departement of Statistics, FSU, Tallahassee, FL 32306, USA1
LIFL (UMR USTL/CNRS 8022), Université de Lille 1, France1
School of Electrical Engineering and Computer Science, University of Newcastle, Australia1
Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong1
College of Electrical Engineering and Automation, Anhui University, China1
Department of Computer Science, Federal University of Ceará, Fortaleza, Brazil1
Department of Information Engineering, The Chinese University of Hong Kong, China1
Liverpool John Moores University, Liverpool, United Kingdom1
Inha University, Incheon, Korea (Republic of)1
Indian Institute of Technology Madras, Chennai, India1
Department of Automation, USTC, China1
National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA1
Center for Automation Research, University of Maryland, College Park, MD 20742, USA1
College of Humanities & Information of Changchun University of Technology, Changchun, China1
Department of Computer Engineering, Bogaziçi University, Bebek, Turkey1
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, 430073, China1
Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080 USA1
School of Computer, Wuhan University, Wuhan 430072, China1
Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA1
Rensselaer Polytechnic Institute, Troy, NY 12180, USA1
GE Global Research Center, Niskayuna, NY 12309, USA1
National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Institute for Applied System Analysis, Kyiv, Ukraine1
Nanjing University, Nanjing, P. R. China1
School of Information Science and Engineering, Yunnan University, Kunming, People’s Republic of China1
School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, People’s Republic of China1
UBTECH Robotics, Shenzhen, People’s Republic of China1
School of Big Data and Intelligence Engineering, Southwest Forestry University, Kunming, People’s Republic of China1
School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, People’s Republic of China1
School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China1
Pattern Recognition Laboratory, College of Automation, Harbin Engineering University, Wheresohu_what@sohu.com1
Pattern Recognition Laboratory, College of Automation, Harbin Engineering University, Computer_vision@sohu.com1
School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China1
Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Adobe System Incorporated1
Micrososft Research Asia1
School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. daphna@cs.huji.ac.il1
School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. zweiga@cs.huji.ac.il1
Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China1
Department of Computer Science and Technology, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou, China1
University of Illinois Urbana Champaign, Champaign, USA1
Mapillary Research, Graz, Austria1
University of Glasgow, Glasgow, UK1
Waseda University and USC Institute for Creative Technologies1
GM Advanced Technical Center Israel, Hamada 7, Herliya, Isarel1
RoadMetric LTD, Giveat Yearim 90970, Israel1
Department of Telecommunications, University "Politehnica" Bucharest Bucharest, Romania1
Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, China1
School of Information Science, Xinhua College of Sun Yat-sen University, Guangzhou, China1
IBM, Yorktown Heights, NY, USA1
Inst. Dalle Molle d'Intelligence Artificielle Perceptive, Martigny, Switzerland1
Al Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia1
School of Information and Mechatronics, Gwangju Institute of Science and Technology, Gwangju, Korea1
Department of Computer Science, COMSATS, Institute of Information Technology, Sahiwal, Pakistan1
Portland State University, Portland, USA1
School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, China1
Centro Studi S.r.l., Buccino, Italy1
Electrical Engineering Department, Semnan University, Iran1
Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India1
Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
INSA de Lyon - Université de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France1
Institute for Infocomm Research, A-star, Singapore1
EE Department, I.I.T. Delhi, Hauz Khas, New Delhi, India1
EC Department, ACE College of Engineering, Trivandrum, India1
Department of Computer Science, University of North Carolina at Charlotte, USA1
EECS Department, UC Berkeley, USA1
Lane Department CSEE, West Virginia University, USA1
Institute for Mathematical Stochastics, University of Göttingen, Germany1
Computer Engineering College, Jimei University, Xiamen, China1
Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen, China1
School of Information, Hunan University of Humanities, Science and Technology, Loudi, China1
Dept. of Computer Science and Engg., IIT Roorkee, Roorkee, India1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guidford, Surrey, United Kingdom1
Dept. of Computer Science & Engineering, The Chinese University of Hong Kong, Shatin, N.T., China1
Dept. of Digital Media, College of Information Sciences, Beijing Language and Culture University, 100083, China1
Department of Computing, Curtin University, Perth, Western Australia1
Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York1
Dept. of Information Science, King Abdulaziz University, Jeddah, Saudi Arabia1
Department of Machine Intelligence and Systems Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, 84-4 Aza Ebinokuchi Tsuchiya, Yurihonjo City, 015-0055 Japan1
OMRON Social Solutions Co. Ltd., Japan1
School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA1
Baidu Research - Institute of Deep Learning, Sunnyvale, USA1
CERTH, Thessaloniki, Greece1
CERTH & Queen Mary University of London, Thessaloniki, Greece1
Department of Electromechanical Engineering, University of Macau, Macau, SAR, China1
Department of Computer and Information Science, University of Macau, Macau, SAR, China1
Los Alamos National Laboratory1
ICT-ISVISION Joint R&D Lab. for Face Recognition, Chinese Acad. of Sci., Beijing, China1
Department of Electrical and Computer Engineering and Center for Automation Research, University of Maryland, College Park, MD, USA1
Interacting Minds Centre, Aarhus University, Aarhus C, Denmark1
Department of Human Biology, Faculty of Physiotherapy, University School of Physical Education in Wroclaw, Wroclaw, Poland1
Center for Language Evolution Studies, Faculty of Languages, Nicolaus Copernicus University, Torun, Poland1
Department of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland1
Polish Academy of Sciences, Unit of Anthropology, Hirszfeld Institute of Immunology and Experimental Therapy, Wroclaw, Poland1
College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan1
De Montfort University1
Gdańsk University of Technology, Gdansk, Poland1
AGH University of Science and Technology, Krakow, Poland1
Electronics Research Laboratory, Volkswagen Group of America, 500 Clipper Dr, Belmont, CA 94002, USA1
Center of HCI for Coexistence, Korea Inst. of Science &Technology, Seoul, Korea, Republic of (South Korea)1
Institute for Media Innovation, Nanyang Technology University, Singapore, Singapore1
BBN Technologies, Cambridge, USA1
Computer Science, North Carolina Central University, USA1
Computer Science & Electrical Engineering, West Virginia University, USA1
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln 68503, NE, United States1
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, 430079, China1
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Electrical and Information Engineering, Hunan University, Changsha, China1
Florida State University, FL, USA1
Hospital Clinic Universitat de Barcelona, Barcelona, Spain1
Benito Menni Complex Assistencial en Salut Mental, Barcelona, Spain1
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain1
Institute of Psychiatry, King’s College London, London, UK1
FIDMAG Research Unit, Benito Menni CASM, Barcelona, Spain1
Queen Mary, University of London1
Brunel University1
School of Computer Engineering, Nanyang Technological University, Singapore, 6397981
Indian Institute of Information Technology Lucknow, Lucknow, India1
The Department of Computing, Muscat College, University of Stirling, UK1
School of mechanical and material engineering, North China University of Technology, Beijing, P.R. China1
Institute of Cybernetics, Tallinn University of Technology1
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.1
Rapid-Rich Object Search (ROSE) Lab, Nanyang Technological University, Interdisciplinary Graduate School, SingaporeSingapore1
Computer Science and Eng. and Dept. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Computer Science and Eng. and IT, Dep. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Computer Science, Eng. and IT, Dept. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Fordham University, New York, 10023, USA1
Pattern Recognition Group, University of Siegen, Siegen, Germany1
College of Computer Science and Information Tech., Sudan University of Science and Technology, Sudan1
Department of IT and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran1
Beijing Transportation Operation Coordination Center, China1
Beijing Transportation Information Center, China1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA1
Department of Electrical and Computer Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA, USA1
Ben-Gurion University, Beersheba, Israel1
Orbotech Ltd., Yavne, Israel1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi’an, China1
Department of Mathematics, University of Bari Aldo Moro, Bari, Italy1
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, P. R. China1
Department of Electrical Engineering, Semnan University, Semnan, Iran1
University of California, Merced, CA, 953441
School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China1
Department of Statistics, Florida State University, Tallahassee, FL, USA1
Department of CS&E, Professor, Visualization and Perception Lab, Chennai, India1
INRIA Rennes, France1
Department of IT, KLNCIT, Sivagangai, Tamilnadu, India1
Department of ECE, KLNCIT, Sivagangai, Tamilnadu, India1
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China1
SPKLSTN Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Dept. of Electronics, Telecommunications and IT University “Politehnica” of Bucharest, Romania1
Department of Computer Science & Engineering, Guru Jambheshwar University, Hisar, Haryana, INDIA-125001. E-mail: dinesh_chutani@yahoo.com1
Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, CAS, Beijing, China1
School of Software, Beihang University, Beijing, China1
Software Engineering Institute, Tsinghua University, Beijing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing, P.R. China1
Graduate Sch. of Inf. Sci. & Technol., Tokyo Univ., Japan1
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, People’s Republic of China1
Department of Psychology, University of Pittsburgh/Robotics Institute, Carnegie Mellon University , Pittsburgh, PA, USA1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia1
Jiangsu Key Laboratory of Big Data Analysis Technique, Nanjing University of Information Science and Technology, China1
D.S.M. College, Parbhani, India1
School of Information Engineering, Nanchang Hangkong University, Nanchang, China1
Dept.of Intelligence Science and Technology, The Kyoto University of JAPAN1
Dept.of Computational Intelligence and Systems Science, Tokyo Institute of Technology of JAPAN1
Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA1
Electronic Information School, Wuhan University, Wuhan 430072, China1
Department of Communication Engineering and Informatics, The University of Electro-Communications, Tokyo 182-8585, Japan1
INRIA Rhone Alpes, Grenoble 38334, France1
Toyota Motor Europe (TME), Brussels 1140, Belgium1
Universidad Autonoma de Occidente, Cali, Colombia1
Data Scientist Advanced Analytics Department, General Motors, Warren, USA1
Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
College of Computer Science and Technology of Huaqiao University Xiamen, Xiamen, China1
Dept. of Computer and Information Sciences, Temple Univ., Philadelphia1
School of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran1
School of Computer and Information Technology Engineering, Shahrood University of Technology, Shahrood, Iran1
Department of Computer Science and Engineerineg POSTECH Pohang, 790-784, Korea1
Department of Computer Science and Engineering, POSTECH, Pohang, 790-784, Korea1
Department of Management and Production Engineering, Politecnico di Torino, Turin, Italy1
Bocgazici University, Turkey1
Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia1
Dalian Maritime University, Dalian, People’s Republic of China1
Bordeaux INP, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France1
Chang Jiang Institute of Survey, Planning, Design and Research, China1
Santa Barbara Cottage Hospital1
Department of Computer Science, Al Imam Muhamad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia1
Université de Lorraine-LORIA UMR 7503, Vandoeuvre-lès-Nancy, France1
Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Taiwan 640, R.O.C.1
De La Salle University, Manila, Philippines1
Department of Human Development and Family Studies, Purdue University, West Lafayette, Indiana, USA1
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle Upon Tyne, UK1
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK1
Department of Computer Science, Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC, cpliao@chien.csie.ncku.edu.tw1
Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China1
LAMIH/CNRS University of Valenciennes and Hainaut-Cambresis, Valenciennes, France1
Department of Informatics - Federal University of Paraná, Curitiba, Brazil, 81531-9901
Department of IT, MM University, Mullana, India1
Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjing, 300308, China1
Mekatronik Mühendisliği, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye1
Massachusetts Institute of Technology, Cambridge1
The Library of Wuhan University of Technology, Wuhan, 430070, P. R. China1
Laboratory LIM, Department of Computer Science, Faculty of Sciences and Technologies, University Hassan II, Casablanca-Morocco1
School of Informatics, University of Wales, Gwynedd, United Kingdom1
Computer Vision Center, Department Informàtica, Universitat Autònoma de Barcelona, Barcelona, Spain1
Edge Hill University, Ormskirk, United Kingdom1
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Turkey1
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Turkey1
Bilgisayar Bilimleri Bölümü, Bilgi Üniversitesi, İstanbul, Turkey1
University of Massachusetts, Boston, USA1
Information and Communication Technology Research Institute, Tehran, Iran1
Electronic and Computer Engineering, Brunel University London, Uxbridge, UK1
Faculty of Engineering, University of Ottawa, Ottawa, Canada1
Computer Science and Engineering, Qatar University, Doha, Qatar1
NOVA LINCS, Department of Computer Science, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisboa, Portugal1
Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China1
Institute for Infocomm Research & Nanyang Technological University, Singapore, Singapore1
University of Milano-Bicocca, Milan, Italy1
NICTA, Canberra Research Laboratory, ACT, Australia1
Computational Intelligence and Systems Science, Tokyo Institute of Technology-Japan, Email: osman@isl.titech.ac.jp1
Universidade Estadual de Campinas, Cx.P. 6176 Campinas-SP, CEP 13084-971, Brazil1
Dakota Consulting, Inc., Silver Spring, USA1
Department of Electrical Engineering, Imperial College London, London, UK1
Department of Computer Science and Engineering, Thapar University, Patiala, India1
Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi, China1
Toutiao AI Lab, Beijing, China1
College of Information and Computer Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, KSA1
TU Wien, Vienna, Austria1
Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom1
Institute on Children Studies, University of Minho, Portugal1
Alibaba Group, Beijing, China1
North Automatic Control Technology Institute, Taiyuan, 030006, China1
College of Aerospace and Material Engineering, National University of Defense Technology, Changsha, China1
REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, Department of computer science, College of AlGhat, Majmaah university, Riyadh, KSA1
National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Research Center for Brain-inspired Intelligence, Chinese Academy of Sciences, Beijing, China1
Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, China1
IIT Guwahati, 781039, Assam, India1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: huseyin.ozkaramanli@emu.edu.tr1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: hasan.demirel@emu.edu.tr1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: alaa.eleyan@emu.edu.tr1
Space and Naval Warfare Systems Center Pacific, San Diego, CA, 92152, United States1
Electrical and Computer Engineering, University of California, San Diego1
School of Computer Software, Tianjin University, 300072, China1
Department of Electronics and IT Media Engineering, Seoul National University of Science & Technology, Seoul, Korea1
Biometrics Research Center, Hong Kong Polytechnic University, Hong Kong, China1
Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hong Kong, China1
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xi'an, China1
Microsoft Research, Mountain View, CA1
Brown University, Providence, RI1
Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India e-mail: ankumfec@iitr.ernet.in1
Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com1
Inst. of Computing Tech., CAS & Univ. of Chinese Academy of Sciences & Key Lab of Big Data Mining and Knowledge Management, CAS, Beijing, China1
College of Information Science and Engineering Henan University of Technology Zhengzhou, 450001, P.R. China1
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, P.R. China1
Laboratoire de Mécanique des Fluides et d'Acoustique(LMFA)-UMR 5509, Institut national des sciences appliquées de Lyon, 69621, France1
Department of Information, Compiègne University of Technology, 60200, France1
School of Automation, Northwestern Polytechnic University, Xi'an, 710072, China1
North China University of Technology, Beijing, 100041, China1
University of North Carolina at Chapel Hill, Chapel Hill, NC, USA1
Universitat Pompeu Fabra, Universidad Pompeu Fabra (Edificio França), Passeig de Circumvallacio, 8, Barcelona, Spain1
Departamento de estadística, Universidad Carlos III de Madrid, Barcelona, Spain1
University of California, Santa Barbara, California, USA1
Institute of Automatic Control, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland1
Institute of Informatics, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland1
Institute of Neural Information Processing, University of Ulm1
Computer Science Department, University of California Los Angeles1
Computer Science, Rochester Institute of Technology, USA1
Center for Imaging Science, Rochester Institute of Technology, USA1
Department of Multimedia Design, National Taichung University of Science and Technology, Taichung, Taiwan1
Department of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi, Taiwan1
Faculty of Science, Qiqihar University, 161006, China1
Department of Mathematics and Mechanics, Applied Science School, University of Science and Technology Beijing, 100083, China1
Amirkabir University of Technology, Department of Computer Engineering, Tehran, Iran1
Australian Centre for Robotic Vision, University of Adelaide, South Australia, Australia1
“Lumina” The University Of South-East Europe, Bucharest, Romania1
Hyperion University Bucharest, Romania1
Adobe Research, San Jose, CA, USA1
Center of Computer, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
University of Copenhagen and University of Malta, Copenhagen, Denmark1
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany1
Laboratoire d’interprétation et de traitement d’images et vidéo, Polytechnique Montréal, Montreal, Canada1
Communication University of China, China1
Chinese Academy of Sciences, Institute of Computing Technology, China1
Intel Labs China, Intel Corporation, 100090, Beijing, China1
Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Italia1
Institute of Computer Engineering, University of Lübeck, Germany1
Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Italia1
Advanced Micro Devices, Inc., Bellevue, WA, USA1
College of William & Mary, Williamsburg, VA, USA1
Advanced Micro Devices, Inc., Sunnyvale, CA, USA1
University of Granada, UK1
University of Colorado, Boulder, CO, USA1
Nanjing University, China1
Center for Machine Vision, Research, University of Oulu, Finland1
Computer Science, Purdue University, West Lafayette, USA1
mediaX, Stanford University, Stanford, USA1
Dpto. Lenguajes y Sistemas Informáticos, Universidad Jaume I. Castellón de la Plana, Spain1
School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili Nanshan District Shenzhen, Guangdong Province, China1
LIRIS, Université de Lyon, UMR CNRS 5205, Université Lyon 2, Bron, France1
Computer Science Department, University of Jijel, Ouled Aissa, Jijel, Algeria1
College of air traffic control and navigation, Air Force Engineering University, Xi'an 710051, China1
Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China1
College of Science, Air Force Engineering University, Xi'an, 710051, China1
Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072,China1
Schoool of Life Sciences and Technology, Xidian University, Xi'an, China1
Koolsee MideaNet Company Limited, Hong Kong, China1
Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China1
Ricoh Company, Ltd., Yokohama, Japan1
Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Tuebingen, Baden-Wuerttemberg, Germany1
Center for Collective Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts USA1
School of Computer Science and Technology, Anhui University, Hefei, China1
Microsoft Key Laboratory of Visual Perception, Zhejiang University, Hangzhou, China1
Faculty of Computer and Information Sciences, Information Systems Department, Ain Shams University, Cairo, Egypt1
Department of Software Engineering, China University of Petroleum, Qingdao, China1
Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India1
College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China1
School of Information Science and TechnologyBeijing Forestry University1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK, m.hamouz@surrey.ac.uk1
Center for Vision Research, York University. jelder@yorku.ca1
Department of Computer Science, University College London. s.prince@cs.ucl.ac.uk1
Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, P.R. China1
Microsoft Research Asia, Beijing, P.R. China1
Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea1
Cognitive Neuroscience Cluster, Southern Cross University, Coffs Harbour, Australia1
Graduate Program in Neuroscience, The University of Western Ontario, London, Canada1
Department of Psychology, The University of Western Ontario, London, Canada1
The Brain and Mind Institute, The University of Western Ontario, London, Canada1
Semnan University, Semnan, Iran1
Huazhong University of Science and Technology, P. R. China1
Department of AutomationTsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China1
College of Software, Northeastern University, Shenyang, China1
Hebei University of Technology, School of Science, Tianjin, P. R. China1
West Virginia University, Lane Dept. of CSEE, Morgantown, WV1
The School of Software Engineering, Beijing Jiaotong University, Beijing, China1
Faculty of Electronics, Telecommunications and Informatics, Audio Acoustics Laboratory, Gdansk University of Technology, Gdansk, Poland1
Faculty of Electronics, Telecommunications and Informatics, Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China1
Uurmi Systems Lab, Hyderabad, India1
Department of Computer Engineering, Eastern Mediterranean University, Mağusa, Turkey1
Colchester, Essex, United Kingdom1
Department of Electrical and Computer Engineering, College of Engineering, and College of Computer and Information Science (Affiliated), Northeastern University, MA, USA1
Department of Mathematics, JiaYing University, Meizhou, China1
School of Engineering, Shiv Nadar University, Gautam Buddha Nagar, India1
CARTIF Centro Tecnológico, Robotics and Computer Vision Division, Boecillo (Valladolid, Spain)1
Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, 152-8552, Japan1
Division of Computer Science and Engineering, CAIIT, Chonbuk National University, Jeonju, Korea1
Division of Computer Science and Engineering, Chonbuk National University, Jeonju, Korea1
School of Electronic and Information Engineering, Shanghai University of Electric Power, 200090, China1
School of Automation Engineering, Shanghai University of Electric Power, 200090, China1
School of Electrical and Automatic Engineering, Changshu Institute of Technology, 215500, China1
School of Computer Science and Engineering, Changshu Institute of Technology, 215500, China1
School of Engineering and Information Technology, Murdoch University, Australia1
Tencent Inc., Shanghai, China1
University of Twente, Enschede, Netherlands1
Radboud University, Nijmegen, Netherlands1
NCCA, Bournemouth University, United Kingdom1
Roke Manor Research Romsey, Hampshire SO51 0ZN, UK1
Computer Science Department, University of Maryland, College Park, MD1
Department of Computer Science, Memorial University of Newfoundland, Saint John's, NL, Canada1
Computer Science Department, Tel-Aviv University, Ramat Aviv, Tel-Aviv, Israel1
Shenzhen University, Shenzhen, China1
Department of Radiation Oncology, Hacettepe University, Ankara, Turkey1
Guangdong University of Foreign Studies, Guangzhou, China1
The Department of Electronic Engineering, BoHai University, JinZhou, China1
KTH - Royal Institute of Technology, Stockholm, Sweden1
Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain1
Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Information & Communications Technologies Department, Universitat Pompeu Fabra, Barcelona, Spain1
Department of Electrical Engineering, Assiut University, Asyut, Egypt1
Dept. of Electronics and Comm., S.J.B. Inst. of Tech., Bangalore - 560060, India1
Naval Research Laboratory, Washington, DC 20375; George Mason University, Fairfax, VA1
University of Mysore, Mysore, India1
Channabasaveshwara Institute of Technology, Gubbi, India1
Institut TELECOM, TELECOM and Management SudParis, France1
University of Mysore, Mysore, India & institut TELECOM, TELECOM and Management SudParis, France1
Department of Computer Engineering, Yeungnam University, Gyeongsan, South Korea1
Korea Electronics Technology Institute (KETI), Kyunggi-Do, Korea1
TNO Defence, Security and Safety, P.O. Box 96864, 2509 JG The Hague, The Netherlands1
Shanghai University of Finance and Economics, Shanghai, China1
Department of Signal Processing, Tampere University of Technology, FIN-Tampere, 33720, Finland1
Department of Computer Sciences, University of Texas at Austin, Austin, USA1
Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, USA1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign , Urbana1
Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis1
Laboratoire d'Informatique de l'Ecole Normale Supérieure (INRIA/ENS/CNRS UMR 8548), INRIA-Willow project, Ecole Normale Supérieure, Paris, France1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana1
NYSS College of Engineering and Research, Nagpur, 441 110, India1
\ No newline at end of file +Institutions from IEEE

Institutions from IEEE

National University of Singapore, Singapore, Singapore83
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore83
a72
Department of Electrical and Computer Engineering, National University of Singapore, Singapore60
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China54
University of Electronic Science and Technology of China, Chengdu, China54
School of Computer Engineering, Nanyang Technological University, Singapore52
Institute of Automation, Chinese Academy of Sciences, Beijing, China47
Tsinghua University, Beijing, China47
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece43
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China41
Institute of Information Science, Beijing Jiaotong University, 100044, China39
University of Science and Technology of China, Hefei, China38
Department of Automation, Tsinghua University, Beijing, China38
Shanghai Jiao Tong University, Shanghai, China37
Peking University, Beijing, China37
Nanyang Technological University, Singapore37
Microsoft Research Asia, Beijing, China35
University of Chinese Academy of Sciences, Beijing, China35
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China33
Beijing University of Posts and Telecommunications, Beijing, China33
IIIT-Delhi, India33
Beihang University, Beijing, China33
Tianjin University, Tianjin, China30
Department of Electronic Engineering, Tsinghua University, Beijing, China30
National Taiwan University, Taipei, Taiwan Roc30
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China30
College of Computer Science and Technology, Zhejiang University, Hangzhou, China30
Nanyang Technological University, Singapore, Singapore30
Harbin Institute of Technology, Harbin, China28
National University of Singapore, Singapore28
Advanced Digital Sciences Center, Singapore28
Chinese Academy of Sciences, Beijing, China28
Zhejiang University, Hangzhou, China28
Fudan University, Shanghai, China28
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China27
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China27
Department of Information Engineering and Computer Science, University of Trento, Trento, Italy27
School of Computing, National University of Singapore, Singapore26
National Institute of Informatics, Tokyo, Japan26
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China26
Carnegie Mellon University, Pittsburgh, PA, USA26
Institute of Microelectronics, Tsinghua University, Beijing, China24
IIIT Delhi, India24
Institute of Information Science, Beijing Jiaotong University, Beijing, China24
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, China23
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China23
Northeastern University, Boston, MA, USA22
The University of Tokyo, Tokyo, Japan22
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore22
School of Control Science and Engineering, Shandong University, Jinan, China22
Wuhan University, Wuhan, China22
The University of Queensland, Brisbane, Australia22
School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China22
College of Computer Science, Zhejiang University, Hangzhou, China22
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China21
Department of Computing, Imperial College London, London, U.K.21
Hefei University of Technology, Hefei, China21
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China20
School of Computer and Information, Hefei University of Technology, Hefei, China20
South China University of Technology, Guangzhou, China20
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China20
Universität Hamburg, Hamburg, Germany19
Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, China19
School of Computer Science and Engineering, Nanyang Technological University, Singapore19
Idiap Research Institute, Martigny, Switzerland19
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA19
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China19
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China19
School of Automation, Southeast University, Nanjing, China19
Department of Automation, Shanghai Jiao Tong University, Shanghai, China19
School of Automation, Southeast University, Nanjing 210096, China18
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea18
Institute for Infocomm Research, Singapore18
Department of Computer and Information Science, University of Macau, Macau, China18
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan18
School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China18
School of Computer Science and Technology, Tianjin University, Tianjin, China18
College of Command Information Systems, PLA University of Science and Technology, Nanjing, China17
Department of Computing, The Hong Kong Polytechnic University, Hong Kong17
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China17
National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China17
Beijing Jiaotong University, Beijing, China17
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, China17
Osaka University, Japan17
School of Information and Communication Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, China17
University of Trento, Italy17
University of Southern California, Los Angeles, CA17
School of Computer Science and Technology, Harbin Institute of Technology, China17
Microsoft Research, Beijing, China17
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences17
Singapore Management University, Singapore, Singapore17
University of Texas at Arlington, Arlington, TX, USA17
Beijing University of Posts and Telecommunications, Beijing, 100876, China16
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China16
National Taiwan University16
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China16
School of Electrical and Electronic Engineering, College of Engineering, Yonsei University, Seoul, South Korea16
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China16
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL USA16
Carnegie Mellon University16
School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China15
School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China15
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, 430072, China15
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China15
Academia Sinica, Taipei, Taiwan Roc15
Carnegie Mellon University, USA15
School of Electrical and Electronic Engineering, Yonsei University, Seoul, 120-749, Korea15
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China15
School of Software, Tsinghua University, Beijing, China14
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiao Tong University, 200240, China14
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA14
College of Computer Science, Chongqing University, Chongqing, China14
Beijing University of Posts and Telecommunications, China14
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China14
School of Electronic Information Engineering, Tianjin University, Tianjin, China14
Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China14
Computer Science Department, Technical University of Cluj-Napoca, Romania14
Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan14
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China14
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China14
Division of System Integration and IC Design, Institute of Nano-tech and Nano-bionics, CAS, Suzhou, China14
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, China14
University of Trento, Trento, Italy14
College of Computer Science, Sichuan University, Chengdu, China14
Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA14
Sun Yat-sen University, Guangzhou, China14
Beijing Normal University, China13
Peking University, Shenzhen, China13
College of Computer, National University of Defense Technology, Changsha, China13
Stanford University13
Nanjing University, Nanjing, China13
Computational Biomedicine Lab, Department of Computer Science, University of Houston, TX, USA13
University of Oslo13
State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, China13
School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China13
Institute of Automation, Chinese Academy of Sciences, China13
Xi'an Jiaotong University, Xi'an, China13
Faculty of Science and Technology, University of Macau, Macau, China13
School of Information and Communication Engineering, Dalian University of Technology, Dalian, China13
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China13
Dipartimento di Informatica, University of Verona, Italy13
School of Electronic and Information Engineering, Beihang University, Beijing, China13
University of California, Irvine13
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan, China13
Department of Telecommunication Engineering, Beijing Information Science and Technology University, China13
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China12
Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong12
The University of Tokyo, Japan12
School of Software Engineering, South China University of Technology, Guangzhou, China12
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong12
School of Computer Science and Engineering, Nanjing University of Science and Technology, China12
IIIT Delhi12
University of Minnesota, Minneapolis, MN, USA12
Department of Computer Science and Information Engineering, National Central University, Taiwan12
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China12
CAS Center for Excellence in Brain Science and Intelligence Technology; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences, Beijing, China12
Ulm University, Ulm, Germany12
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France12
University of Texas at San Antonio, San Antonio, TX, USA12
National Engineering Research Center for Multimedia Software, Wuhan University, China12
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong12
Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates12
University of Illinois at Urbana-Champaign12
University of Tokyo, Tokyo, Japan12
Department of Computer Science, Università degli Studi di Milano, Italy12
School of Computer Science, Fudan University, Shanghai, China12
Imperial College London, UK12
School of Automation, Northwestern Polytechnical University, Xi’an, China12
Georgia Institute of Technology12
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China12
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China12
The University of Tokyo12
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China12
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, 430072, China11
National Taiwan University, Taipei, Taiwan11
Computer Science and Engineering Department, University of South Carolina, United States of America11
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou 310007, P. R. China11
National Engineering Laboratory for Video Technology, School of EE&CS, Peking University, Beijing, China11
Department of Computer Science and Engineering, University of Notre Dame, USA11
College of Command Information Systems, PLA University of Science & Technology, Nanjing, China11
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA11
School of Computer, Wuhan University, Wuhan, China11
Department of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra, Portugal11
Shanghai Jiao Tong University11
Department of Computer Science, City University of Hong Kong, Hong Kong11
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, India11
Department of Computer Science, TU Darmstadt11
Indian Institute of Science, Bangalore, India11
The Chinese University of Hong Kong11
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia11
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China11
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China11
Beijing University of Posts and Telecommunications11
Institute of Automation, Chinese Academy of Sciences11
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China11
International Institute of Information Technology, Hyderabad, India11
Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore11
Dalian University of Technology11
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong11
Department of Computer Science and Engineering, Jadavpur University, Kolkata, India11
University of Amsterdam, Amsterdam, Netherlands11
CNRS-LTCI, Télécom ParisTech, Paris, France10
University of Canberra, Canberra, Australia10
Department of Scientific and Engineering Simulation, Nagoya Institute of Technology, Japan10
Department of Information Engineering and Computer Science, University of Trento, Italy10
Department of Computing, Imperial College London, London, United Kingdom10
CVIP Laboratory, University of Louisville, KY, USA10
Department of Informatics, Aristotle University of Thessaloniki, Greece10
Human Language Technology Center of Excellence, The Johns Hopkins University, Baltimore, MD, 21218, USA10
Dept. of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA10
Huazhong University of Science and Technology, Wuhan, China10
Institute of Mathmatics and Computer Science, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil10
da/sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany10
Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA10
IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China10
Graduate School of Engineering, Tottori University, Japan10
Chinese Academy of Sciences10
University of Udine, Udine, Italy10
School of Electronic Engineering, Xidian University, Xi’an, China10
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China10
National Taiwan Unversity, Taipei, Taiwan Roc10
National Key Laboratory of Science and Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China10
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China10
Google Research, Zurich, Switzerland10
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China10
EURECOM, Sophia Antipolis, France10
College of Information Engineering, Yangzhou University, Yangzhou, China10
Center for Machine Vision and Signal Analysis, University of Oulu, Finland10
Northwestern Polytechnical University, Shaanxi, China10
Beijing University of Technology, Beijing, China10
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Lyon, France10
Centre for Vision, Speech and Signal Processing, University of Surrey, UK10
School of Software, Dalian University of Technology, Dalian, China10
Chinese Academy of Sciences, Institute of Automation, Beijing, China10
Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan, R.O.C.10
Institute of Information Science, Beijing Jiaotong University, China10
MPI Informatik10
School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea10
State University of New York at Binghamton, USA10
Institute of Systems and Robotics, University of Coimbra, Portugal10
Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA10
Shanghai Jiao Tong University, China10
Nagoya Institute of Technology, Japan10
Arizona State University, Tempe, AZ, USA10
University of Florence10
University of California, Berkeley, Berkeley, CA, USA10
Department of Electronic Engineering, Shanghai Jiao Tong University, China10
University of Maryland, College Park10
Indraprastha Institute of Information Technology Delhi, New Delhi, India10
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK10
National University of Defense Technology, China10
Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Technical University of Madrid, Spain10
School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China10
Carnegie Mellon University, ForbesAvenue, Pittsburgh PA10
Kyushu University, Fukuoka, Japan10
Department of Computer Science and Technology, Tsinghua University, Beijing, China10
Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia10
University of Amsterdam, Amsterdam, The Netherlands10
School of Computer Engineering, Nanyang Technological University, Singapore, Singapore10
Communication and Information Security Lab, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University10
Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan10
Delft University of Technology, Delft, Netherlands10
School of Automation, Northwestern Polytechnical University, Xi'an, 710072, China10
Department of Automation, University of Science and Technology of China, Hefei, China10
Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran10
Queen Mary University of London, London, United Kingdom10
Northwestern Polytechnical University, Xi'an, China10
University of Maryland, College Park, MD, USA10
University of California, San Diego10
State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China10
Department of Computer Science, State University of New York at Binghamton9
University of Udine, Italy9
Australian Centre for Field Robotics (ACFR) at the University of Sydney (NSW, Australia)9
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA9
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, 567-0047, JAPAN9
Institution of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China9
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China9
Department of Electronics and Communication Engineering, Government of Karnataka Research Centre, Sahyadri College of Engineering and Management, Mangaluru, Karnataka, India9
National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, P. R. China9
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China9
Department of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China9
University of Notre Dame, Notre Dame, IN, USA9
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 1175769
Robotics and Microsystems Center, Soochow University, Suzhou, China9
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, France9
State Key Laboratory of Software Engineering, Wuhan University, China9
School of Information and Communication, Guilin University of Electronic Technology Guangxi Guilin, China9
School of Information and Electronics, Beijing Institute of Technology, Beijing, China9
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China9
Dept. of Computer Science and Information Engineering, National Central University, Jhongli, Taiwan9
Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland9
Beijing Normal University, Beijing, China9
National University of Ireland Galway, Galway, Ireland9
Beijing University of Posts and Telecommunications, Beijing 100876, China9
Department of Computer Engineering, Kyung Hee University, South Korea9
Department of Computer Science, New Jersey Institute of Technology9
Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, ul. Konstantynów 1H, 20-708, Poland9
School of Computer Engineering and Science, Shanghai University, Shanghai, China9
Intel China Research Center, Beijing, China9
Center for Future Media and School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China9
School of Electronic Engineering, Xidian University, Xi'an, China9
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA9
Renmin University of China, Beijing, China9
School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China9
Anhui University, Hefei, China9
School of Computer Science and Software Engineering, University of Wollongong, Australia9
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran9
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore9
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, U.K.9
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 6397989
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China9
INRIA Rhône-Alpes, Grenoble, France9
University of Texas at San Antonio, San Antonio, USA9
Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia9
Dalian University of Technology, China9
ETH Zurich, Switzerland9
Institute of Computing, University of Campinas, Campinas, Brazil9
Université Picardie Jules-Vernes, 80000 Amiens, France9
Brno University of Technology9
Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China9
Department of Computer and Information Science, University of Konstanz, Germany9
College of Computer Science and Technology, Jilin University, Changchun, China9
Queen Mary University of London, UK9
North Carolina Agricultural and Technical State University, Greensboro, NC9
Computer Vision and Pattern Recognition Laboratory, Keimyung University, Daegu, South Korea9
Indian Institute of Information Technology, Allahabad, India9
National Taiwan University of Science and Technology, Taipei, Taiwan9
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210046, China9
School of Computer Science and Engineering, Beihang University, Beijing, China9
Noblis, Falls Church, VA, U.S.A.9
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China9
Graduate School at Shenzhen, Tsinghua University, Shenzhen, China9
Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy8
P.G. Demidov Yaroslavl State University, Yaroslavl, Russia8
Center for Advanced Studies in Identity Sciences, North Carolina A & T State University, Greensboro, NC, USA8
University of Houston8
Dipartimento di Sistemi e Informatica, University of Firenze, Firenze, Italy8
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava, Bratislava, Slovakia8
School of Communication and Information Engineering, Shanghai University, 200444, China8
School of Electrical and Electronic Engineering, Nanyang Technological University, 639798 Singapore8
Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India8
School of Electronics and Information, Northwestern Polytechnical University8
School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China8
NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, China8
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China8
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China8
NICTA, PO Box 6020, St Lucia, QLD 4067, Australia8
Department of Data Science and Knowledge Engineering, Maastricht University, Maastricht, Netherlands8
Université Paris-Sud, 91405, Orsay, FRANCE8
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China8
School of Computer Science & Technology, Harbin Institute of Technology8
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China8
Keio University, Japan8
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China8
Center for Machine Vision Research, University of Oulu, Finland8
CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France8
International Centre for Wavelet Analysis and Its Applications, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 6117318
Biometric Recognition Group - ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain8
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, P.R., 710049, China8
School of Electronics, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China8
Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA8
Department of Computer Science, North Carolina A&T State University, 1601 East Market St. Greensboro, 27411, USA8
Institute of Signal Processing and System Theory, University of Stuttgart, Germany8
Universidad Autonoma de Madrid8
CERTH-ITI, Thessaloniki, Greece8
Renmin University of China, China8
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0815, Japan8
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK8
Indraprastha Institute of Information Technology (IIIT), Delhi, India8
Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA8
Academia Sinica, Taipei, Taiwan8
Samsung R&D Institute, China8
Department of Automatic Control and Systems Engineering, University of Sheffield, S1 3JD, UK8
School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China8
Carnegie Mellon University, Pittsburgh, USA8
School of Information Science and Engineering, Shandong University, Jinan, China8
Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, 200240, China8
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China8
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea8
Center for Research in Intelligent Systems, University of California, Riverside, USA8
Dept. Electronics and communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
Dept. Information Science Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
School of Electrical & Computer Engineering, RMIT University, Melbourne, Australia8
National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China8
School of Communication & Information Engineering, Shanghai University, China8
School of Computing, University of Portsmouth, UK8
Institute of Computer, Hangzhou Dianzi University, China8
School of Software Engineering, Tongji University, Shanghai, China8
School of Information Science and Engineering, Lanzhou University, Lanzhou, China8
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University8
School of Information Science and Engineering, Xiamen University, Xiamen, China8
Computer Vision Center, UAB, Barcelona, Spain8
Institute of Computer Science and Technology, Peking University, Beijing, P.R. China, 1008718
Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Genova - Italy8
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Türkiye8
Université de Lyon, CNRS, France8
Key Laboratory of Intelligent Computation & Signal Processing, Ministry of Education, Anhui University, Hefei, China8
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, China8
School of Computer Science, Communication University of China, Beijing, China8
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China8
School of Electronics and Information Technology, Sun Yat-sen University, China8
Biometrics and Pattern Recognition Lab, School of Computing, Clemson University, Clemson, SC 29634 USA8
Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China8
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China8
The University of Melbourne8
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, USA8
g8
Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia8
Microsoft Research8
Institute of Computer Science and Technology, Peking University, Beijing, China8
Signal & Information Processing Laboratory, Beijing University of Technology, Beijing, China8
Center for Biometrics and Security Research and the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China8
Sarnoff Corporation, Princeton, NJ, USA8
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA8
Beijing Key Laboratory of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China8
University of Sassari, Italy8
University of Surrey, Guildford8
Department of Computer Science and Engineering, Islamic University of Technology, Gazipur-1704, Bangladesh8
Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology(BUET), Dhaka-1000, Bangladesh8
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China8
Graduate School of Electrical Engineering, University of Ulsan, 680-749, Republic of Korea8
Institute for Infocomm Research, A∗STAR, Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386328
Department of Electronic Engineering, The Chinese University of Hong Kong, China8
Tongji University, Shanghai, China8
Department of Computer Science, Hong Kong Baptist University, Hong Kong8
Department of Microelectornics and Computer Science, Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland8
College of Information Science and Engineering, Hunan University, Changsha, China8
Department of Computer Science, National Tsing Hua University, Taiwan8
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA8
Masaryk University, Brno, Czech Republic8
Sun Yat-Sen University, Guangzhou, China8
School of Electronics, Electrical Engineering and Computer Science, Queens University Belfast, BT7 1NN, UK8
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China8
Department of Information Engineering, University of Florence, Florence, Italy8
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies, Yongin, Republic of Korea8
Microsoft Research, Redmond, WA, USA8
State Key Laboratory for Novel Software Technology, Nanjing University, China8
School of Computer Science and Technology, Shandong University, Jinan, China8
Key Laboratory of Machine Perception, Peking University, Shenzhen Graduate School, China8
KTH Royal Institute of Technology, Stockholm, Sweden8
Zhejiang University, HIKVISION8
Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom8
Queen Mary University of London8
Hangzhou Dianzi University, Hangzhou, China8
Fraunhofer IOSB, Ettlingen, Germany8
Mitsubishi Electric Research Laboratories, Cambridge, MA, USA8
UC Berkeley and Max-Plank-Institute for Informatics, Germany7
University of Tampere, Tampere, Finland7
CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy7
DGIST, Daegu, Republic of Korea7
Computer Science Department, University of Buenos Aires, Argentina7
North Carolina Agricultural and Technical State University, NC7
Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, P. R. China7
Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, USA7
Singapore-MIT Alliance for Research and Technology, Singapore7
Barcelona Supercomputing Center, Spain7
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, China7
Institute of Engineering & Management, Kolkata7
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University, Greensboro, USA7
Department of Computer Science, Jiangnan University, No. 1800 LiHu Avenue, WuXi, China7
University of Missouri-Columbia, USA7
GRASP Laboratory, Department of Computer Information Science, University of Pennsylvania, 3330 Walnut Street, Philadelphia, PA USA7
Sch. of Behavioral & Brain Sci., Texas Univ., Richardson, TX, USA7
School of Electrical Engineering and Computer Science, Pennsylvania State University, PA USA7
Autonomous Vehicle Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386327
Autonomous Systems Lab, ETH Zürich, Switzerland7
Department of Biomedical Engineering, Srinakharinwirot University, Ongkharak, Thailand7
Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy7
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China7
Department of Computer and Information Science, University of Macau, China7
School of Information Science and Engineering, Ocean University of Chisana, Qingdao, China7
Advanced Computer Architecture Laboratory, University of Michigan, Ann Arbor, MI 481097
University of Geneva, Geneva7
Center for Automation Research, University of Maryland, College Park, MD 207427
Haikou Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Haikou, China7
Center for Automation Research, UMIACS, University of Maryland, College Park, 20740, United States of America7
Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France7
SenseTime Research7
School of Information and Software Engineering, University of Electronic Science and Technology of China, Country Chengdu, 610054, China P.R.C7
Northwestern University7
Intelligent Systems Research Laboratory, University of Reading, United Kingdom7
National Engineering Research Center for Multimedia Software, Computer School of Wuhan University, China7
Purdue University, USA7
Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci. & Tech., Tsinghua University, Beijing, China7
Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University, Xi’an, China7
Graduate School of System Informatics, Kobe University, Kobe, 657-8501 Japan7
Digital Performance and Simulation Key Laboratory, School of Software, Beijing Institute of Technology, Beijing 100081, China7
Joint Research Institute for Signal and Image Processing, Heriot-Watt University & University of Edinburgh, UK7
NAIST7
Beihang University7
Stanford University, Stanford, CA, USA7
Australian National University, Canberra, Australia7
Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, India7
College of Information Engineering, Capital Normal University, Beijing, China7
Signal & Information Processing Lab, Beijing University of Technology, Beijing, China7
University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany7
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, P. R. China7
Bilgisayar Mühendisliği Bölümü, Hacettepe Üniversitesi, Ankara, Türkiye7
Samsung Advanced Institute of Technology, Korea7
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA7
Klagenfurt University, Klagenfurt, Austria7
CVIP Lab, University of Louisville, Louisville, KY, USA7
College of Computer Science, Zhejiang University of Technology, Hangzhou, China7
CyLab Biometrics Center and the Department of Electrical and Computer Engineering (ECE), Carnegie Mellon University, Pittsburgh, USA7
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, 54124, Greece7
Center for Future Media, University of Electronic Science and Technology of China, Chengdu, China7
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China7
Microsoft, Redmond, WA, USA7
Graduate School of Electrical Engineering, University of Ulsan, Korea7
Indraprastha Institute of Information Technology Delhi, Delhi, India7
Northwestern Polytechnical University, Xi’an, China7
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan7
Department of Computer Science & Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China7
Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China7
Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka7
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China7
Honda Research Institute (HRI) Europe, Carl-Legien-Str. 30, 63073 Offenbach, Germany7
Robotics Institute, Carnegie Mellon University, Pittsburgh, USA7
Xiamen University, Xiamen, China7
Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea7
College of Automation, Harbin Engineering University, Harbin, Heilongjiang Province, China7
College of Information Science and Technology, Beijing Normal University, Beijing, China7
Kyushu Institute of Technology, Iizuka, Japan7
Chonnam National University, Gwangju, South Korea7
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China7
School of Electronics and Computer Science, University of Southampton, Southampton, U.K.7
University of Pittsburgh, Pittsburgh, PA, USA7
Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA7
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj-Napoca, Romania7
Visual Computing Group, Microsoft Research, Beijing, China7
Stony Brook University, Stony Brook University, NY 11794, USA7
Machine Vision Group, University of Oulu, Finland7
School of ITEE, The University of Queensland, Australia7
Computer Vision Laboratory, ETH Zurich, Switzerland7
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China7
College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China7
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China7
School of Information Science and Technology, Xiamen University, Xiamen, China7
Computational Biomedicine Lab, University of Houston, TX, USA7
Università degli Studi di Firenze, Firenze, Italy7
University of Illinois at Urbana-Champaign, Urbana7
Institute of Neural Information Processing, Ulm University, Ulm, Germany7
University of South Florida, Tampa, FL, USA7
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia7
Queen Mary University of London, London7
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, China7
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye7
School of Information Engineering, Zhengzhou University, Zhengzhou, China7
Clemson University, Clemson, SC7
SENSE VIT University Vellore, India7
Guangdong University of Technology, Guangzhou, China7
University of Maryland, College Park, USA7
School of Data and Computer Science, Sun Yat-sen University, Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China7
College of Information Engineering, Communication University of China, Beijing, China7
University of Chinese Academy of Sciences, China7
MIT Lincoln Laboratory, 244 Wood St., Lexington, Ma. 024207
Faculty of Information Technology, Beijing University of Technology, Beijing, China7
Dept. of Comput., Hong Kong Polytech. Univ., China7
Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway7
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany7
Department of Electronics and Communication Engineering Govt. of Karnataka R&D Sahyadri College of Engineering and Management, Mangaluru 575007, India7
Department of MathematicsIntelligent Data Center, Sun Yat-sen University, Guangzhou, China7
Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China7
Grad. School of Information Science and Technology, The University of Tokyo, Japan7
University of Toronto, Toronto, Canada7
School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China7
School of Automation and Electrical Engineering, University of Science and Technology Beijing, 100083, China7
The Hong Kong Polytechnic University, Hong Kong, China7
University of Southern California7
School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing, China7
CRIPAC & NLPR, CASIA7
Image Processing Center, Beihang University, Beijing, China7
Robotics Institute, Carnegie Mellon University, USA7
International Computer Science Institute, Berkeley, CA, USA7
Centre for Research & Technology-Hellas, Thessaloniki, Greece7
Fondazione Bruno Kessler, Trento, Italy7
College of Computer Science and Technology, Huaqiao University, Xiamen, China7
Dalian University of Technology, Dalian, China7
Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA7
Faculty of Information Technology, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia7
The Chinese University of Hong Kong, Hong Kong7
East China Normal University, Shanghai, China7
University of Catania, Catania, Italy7
College of Electrical Engineering and Automation, Anhui University, Hefei, China7
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan7
School of Computer Science and Technology & Joint International Research Laboratory of Machine Learning and Neuromorphic Computing, Soochow University, Suzhou, China7
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, China7
Southeast University, China7
University of California7
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China7
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA7
Zhejiang University of Technology, Hangzhou, China7
University of Ottawa, Ottawa, ON, Canada7
Institute of Computing Technology, CAS, Beijing, China7
TCS Innovation Labs, Bangalore, India6
Yildiz Technical Univeristy, Computer Eng. Dept. İstanbul, Turkey6
PLA University of Science and Technology (PLAUST), Nanjing, China6
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia6
Institute of Computer Science, Foundation for Research and Technology—Hellas, Heraklion, Greece6
School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa6
Indian Institute of Technology (BHU) Varanasi, India6
University of Illinois at Urbana-Champaign, Urbana, IL, USA6
Institute of Information Technology, University of Dhaka, Dhaka, Bangladesh6
The University of Western Australia6
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China6
Computer Science & Technology, Zhejiang Normal University, China6
Centro de Informática, Universidade Federal de Pernambuco, Recife, PE, 50.740-560, Brazil6
Department of Electronic Engineering, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China6
Dept. of Comput. Sci., Houston Univ., TX, USA6
SRI International Sarnoff Princeton, NJ 085406
Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil6
LIRIS(UMR CNRS 5205) Ecole Centrale de Lyon, France6
Computational Biomedicine Lab, Dept. of Computer Science, University of Houston, 4800 Calhoun Rd, Houston, TX 77004, USA6
Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, U.S.A.6
Department of Computing, Imperial College London, South Kensington Campus, London, United Kingdom6
Research School of Engineering, Australian National University, Canberra, ACT, Australia6
Korea Advanced Institute of Science and Technology (KAIST), School of Electrical Engineering, Daejeon,Republic of Korea6
University of Alicante, Alicante, Spain6
Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, Republic of Korea 151-7426
IBM Research - Haifa, Israel6
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA6
École de technologie superieure6
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19 Bratislava, Slovak Republic6
Gdańsk University of Technology, Poland6
State Key Laboratory of ASIC and System, Fudan University, Shanghai, China6
Beijing, China6
Department of Computer Science and Technology, Ocean University of China, 238 Songling Road, Qingdao, China 2661006
College of Information Science and Engineering, Northeastern University, Shenyang, 110819, PR China6
Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China6
College of Electronic and Control Engineering, Beijing University of Technology, 100124, China6
Department of Computer and Communication Systems, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia6
Department of Informatics, Knowledge Technology, University of Hamburg, Germany6
Dept. of Electrical Engineering and Comp. Sc., Northwestern University, Evanston, IL 60208, USA6
Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand6
Department of Computer Science, University of York, UK6
Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy6
University of Tsukuba, Tsukuba, Japan6
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China6
Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan6
Department of Electrical and Computer Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA6
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore6
Department of Information Science & Electronic Engineering, Zhejiang University, No.38, Zheda Road, Hangzhou 310027, P. R. China6
School of Information Science and Technology, Dalian Maritime University, Dalian, China6
Institute for Computer Graphics and Vision, Graz University of Technology, Inffeldgasse 16/II, 8010, Austria6
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi, P. R. China6
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA6
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong6
Department of Computer Science and Technology, Harbin Institute of Technology University, 518055 Shenzhen, China6
School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia6
Carnegie Mellon University, Pittsburgh, Pennsylvania United States6
Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K.6
Lincoln Centre for Autonomous Systems (L-CAS), School of Computer Science, University of Lincoln, United Kingdom6
School of Automation, Nanjing University of Post and Telecommunications, 210046, China6
University of Firenze, Firenze, Italy6
Institute of Information Science and Technologies, ISTI-CNR, Pisa Italy6
Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium6
Department of Computer Science, Southern Illinois University Carbondale, Carbondale, IL, USA6
Department of Electrical and Computer Engineering, University of Illinois at Urbana Champaign, Champaign, IL, USA6
Dept. of Computer Science and Engineering, St. Joseph's College of Engineering and Technology, Palai, Kerala, India6
Computer Science, U.Illinois at Urbana Champaign, Urbana, United States6
PUC-RS, Brazil6
Freie Universität Berlin, Germany6
Huazhong University of Science and Technology, Wuhan, Hubei, P.R. China6
School of Electrical Engineering and Automation, Anhui University, China6
Department of Computer Science and Information Engineering, Tamkang University, Taiwan6
College of Information Technical Science, NanKai University, CITS, TianJin, China6
Zhejiang University, Hang Zhou, China6
Department of Computer Science and Engineering, Varendra University, Rajshahi, Bangladesh6
Visualization and Computer Vision Lab, General Electric, 1 Research Circle, Niskayuna, NY, USA6
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shannxi, P.R.China6
WINLAB, Rutgers University6
Los Alamos National Laboratory, New Mexico, USA6
School of Computing, University of South Alabama6
Institute for Building Informatics, Graz University of Technology (TU Graz), Graz, Austria6
Department of Electrical Engineering, KAIST, Daejeon, Korea6
Colorado State University, Fort Collins6
University of New South Wales, Australia6
Computer Engineering Dept., Amirkabir University, Tehran, Iran6
Speech, Audio, Image and Video Technology (SAIVT) Laboratory Queensland University of Technology, Australia6
City University of Hong Kong, Hong Kong6
School of Engineering, University of Baja California, Tijuana, México6
School of Remote Sensing and Information Engineering, Wuhan University Wuhan, China6
Thales Services, ThereSIS, Palaiseau, France6
Institute of Image Processing and Pattern Recognition Department of Automation, Shanghai Jiao Tong University, China6
School of Information Engineering, Yangzhou University, Yangzhou, China6
School of Information Science and Engineering, Xiamen University, China6
IIT Guwahati, Guwahati, India6
Dept. of E.E., Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China6
Department of Computer Science and Statistics, Rey Juan Carlos University, Madrid, Spain6
Multi-Robot Systems (MRS) Research Group, German University in Cairo, Cairo, Egypt6
Tsinghua University6
Department of Computer Science, Zhejiang Normal University Jinhua, P.R. China6
Indian Statistical Institute, Kolkata6
Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina6
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K.6
DIA, University of Trieste, Italy6
Disney Research, Pittsburgh, USA6
Computational Intelligence Research Group, Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University Newcastle, NE1 8ST, UK6
Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay6
Wuhan University, School of Electronic Information, Wuhan, 430072, China6
School of Computer Science and Technology, Soochow University, Suzhou, China6
School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China6
UC Berkeley6
CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France6
Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, P.R. China6
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, Germany6
School of Electronics and Computer Science, University of Southampton, United Kingdom6
South China University of Technology6
National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China6
University of Notre Dame6
Department of Electrical Engineering, Indian Institute of Technology Kanpur, PIN 208016, Uttar Pradesh, India6
University of Bonn, Germany6
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China6
Institute of Computer Science and Mathematics, Slovak University of Technology, Bratislava, Slovakia6
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China6
ATR Key Laboratory, National University of Defense Technology, Changsha, China6
Zhejiang University of Technology 288 Liuhe Rd. Hangzhou, P. R. China, 3100236
Institute of Computer Science and Technology, Peking University, Beijing, P. R. China, 1008716
College of Mechatronic Engineering and Automation National University of Defense Technology Changsha, Hunan, P.R.China6
Dept. of Electrical and Electronic Engineering, University of Peradeniya6
University of Verona, Department of Computer Science6
SUNY Buffalo, Buffalo, NY, USA6
School of Electronic Engineering and Computer Science, Queen Mary University of London, E1 4NS, UK6
University of Notre Dame, Notre Dame6
Dept. of Eng. Sci., Oxford Univ., UK6
New Industry Creation Hatchery Center, Tohoku University, Japan6
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an, China6
The Ohio State University, Columbus, OH, USA6
Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal6
SAIT India, Samsung India Software Operations Pvt. Ltd (SISO), Bangalore, India, 5600936
Universidade Federal de Campina Grande, Brazil6
SIANI-Universidad de Las Palmas de Gran Canaria, Spain6
Capital Normal University, Beijing, China6
VNU HCMC, University of Science, Ho Chi Minh City, Vietnam6
Daimler AG, Research and Development, Ulm, Germany6
Center for Vision Technologies, SRI International, Princeton, NJ 08540, USA6
University of Southern California, Los Angeles, CA, USA6
Nara Institute of Science and Technology, Japan6
Department of Computer Science and Engineering, Shiraz University, Iran6
Hong Kong Polytechnic University, Hong Kong, China6
Advanced Multimedia Research Lab, ICT Research Institute, School of Computer Science and Software Engineering, University of Wollongong, Australia6
CVIT, IIIT Hyderabad, India6
Hyung Ju Suh, a Caltech student, and Sarah Bechtle, are affiliated interns at JPL.6
Hong Kong Polytechnic University, Hong Kong, Hong Kong6
Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK6
Institute for Information and System Sciences, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China6
Harbin Institute of Technology6
Department of Computer Science, Chongqing University, Chongqing, China6
Advanced Vehicle Engineering Centre, Cranfield University, Bedford, U.K.6
Computational Vision Group, School of Systems Engineering, University of Reading, Whiteknights, RG6 6AY, UK6
Center for Behavioral Imaging, School of Interactive Computing, Georgia Institute of Technology6
School of Software, Dalian University of Technology, China 1166206
University of Ljubljana, Ljubljana, Slovenia6
Wuyi University, Jiangmen, China6
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Peking University, China6
Advanced Telecommunication Research Institute International, Kyoto, Japan6
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom6
University of Oulu, Oulu, Finland6
Department of Telecommunications and Multimedia, University of Zilina, Zilina, Slovakia6
Amity University Uttar Pradesh, Noida6
Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest, Bucharest, 061071, Romania6
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China6
School of Software, University of Technology Sydney, New South Wales, Australia6
Computer Science Department, Technion - Israel Institute of Technology, Technion City, Haifa, Israel, 320006
Télécom Lille, CRIStAL UMR (CNRS 9189), France6
IMPCA, Curtin University, Australia6
Beijing University of Posts and Telecommunications, Beijing, China, 1008766
UCL Interaction Centre, University College London, London, Unithed Kingdom6
Hong Kong University of Science and Technology, Hong Kong6
School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.6
Department of Electrical and Computer Engineering, The Johns Hopkins University Baltimore, MD, USA6
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, Singapore6
Dept. of Computer Science, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA6
UMIC Research Centre, RWTH Aachen University, Germany6
HIT Delhi, India6
Department of Mechanical Engineering, Faculty of Engineering, National University of Singapore, 117576, Singapore6
School of Information Science and Technology, Sun Yat-sen University, China6
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA6
Peking University, China6
Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA6
NC A&T State University, Greensboro, NC, USA6
Department of Electronic Engineering, Shanghai Jiao Tong University6
Institute for Infocomm Research, A*STAR, Singapore, Singapore6
University of California, Irvine, Irvine, CA, USA6
University Politehnica of Bucharest, Faculty of Electronics, Telecommunications and Information Technology, Applied Electronics and Information Engineering Department, 1-3, Iuliu Maniu Ave., Romania 0610716
School of Telecommunications Engineering, Xidian University, Xi’an, China6
Nokia Research Center, Beijing, China6
Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, GU2 7NH, USA6
Fudan University, Shang Hai, China6
The Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong6
School of Data and Computer Science, Sun Yat-Sen University, China6
Department of Computer Science, University of Calgary, Calgary, Canada6
Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China6
Electronics and Telecommunications Research Institute, Daejeon, Korea6
Columbia University, New York, NY, USA6
School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, China P.R.C6
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Ohio, USA6
Università degli Studi di Milano, Crema, IT6
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan6
Department of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China6
Centre for Intelligent Sensing, Queen Mary University of London, London, U.K.6
Bilgisayar Mühendisliği, Başkent Üniversitesi, Ankara, Türkiye6
AAU UMR CNRS 1563, Ecole Centrale de Nantes, France6
Zhengzhou University, Zhengzhou, China6
INRIA, France6
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China6
Université de Toulouse, Toulouse, France6
Adv. Technol. Application Center, Havana6
University of California San Diego, USA6
College of Communications Engineering, PLA University of Science and Technology, Nanjing, China6
CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei 230027, China6
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA6
School of Engineering, Newcastle University, UK6
Hacettepe Bilgisayarlı Görü Laboratuvarı (HUCVL), Hacettepe Üniversitesi, Turkey6
Department of Future Technologies, University of Turku, Finland6
National Key Laboratory of Science and Technology on Multi-spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China6
Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka6
Université de Technologie de Compiègne (UTC), France6
Department of Computer Science, University of British Columbia, 201-2366 Main Mall, Vancouver, B.C. V6T 1Z4, Canada6
Tongji University, No.4800 Cao’an Road, Shanghai, P. R. China6
Department of Mathematics and Computer Science, University of Marburg, Marburg, Germany6
Universidad Autonoma de Madrid, Madrid6
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa6
College of Electronics & Information Engineering, Tongji University, 201804, Shanghai, China6
Faculty of Electronic Information and Electrical Engineering, School of Information and Communication Engineering, Dalian University of Technology, Dalian, China6
Dept. of Computer Engineering and Mathematics, Rovira i Virgili University, 43007 Tarragona, Spain6
University of Barcelona, Barcelona, Spain6
Computer Institute, Federal University of Alagoas, Maceió - AL, Brazil6
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China6
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China6
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, PR China6
UC San Diego6
CReATe Fertility Centre, Toronto, Canada6
University of Toronto, Advanced Micro and Nanosystems Laboratory, Toronto, Canada6
Pattern Recognition and Intelligent System Laboratory, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China6
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan6
Department of Electronic Systems, Aalborg University, Denmark6
Nanjing University of Aeronautics and Astronautics, Nanjing, China6
School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore 6397986
Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong6
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China6
College of Automation, Nanjing University of Posts and Telecommunications, 210046, China6
Computer Vision, Video and Image Processing (CvviP) Research Lab, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia6
National Taiwan University of Science and Technology6
TU Darmstadt, Darmstadt, Germany6
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China6
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, INDIA6
Sharif University of Technology6
School of Computer and Control Engineering, University of Chinese Academy of Sciences, China6
Max Planck Institute for Informatics, Saarbrücken, Germany6
Vision Lab at Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23529, USA6
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China6
KAIST, Daejeon, Korea6
State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China6
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China6
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China6
Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Türkiye6
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong6
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, U.S.A.6
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China6
School of Computer Science and Technology, Xidian University, Xian, China5
Institute of Artificial Intelligence & Robotics, Xi'an Jiaotong University, China5
Electrical and Electronics Department, Polytechnic of Bari, Via E. Orabona, 4, 70125, Italy5
Department of Electrical and Electronic Engineering, University of Bristol, Bristol, United Kingdom, BS8 1UB5
Université de Lyon, CNRS, INSA-Lyon, LIRIS, France5
University of Southern California Institute for Creative Technologies, Los Angeles, CA5
Active Vision Group, University of Koblenz-Landau, Universitätsstr. 1, 56070, Germany5
Image and Video Laboratory, Queensland University of Technology, Australia5
DFKI GmbH, Kaiserslautern, Germany5
Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Av. Ipiranga, 6681, 90619-900, Porto Alegre, RS, Brazil5
School of Electronics and Information Engineering, Beijing Jiaotong University, China, 1000445
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, 710049, China5
Illinois Institute of Technology5
Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile5
Clemson University, Clemson, SC, USA5
School of Mechanical Engineering & Automation, Beihang University, Beijing, China5
National Technical University of Athens, Greece5
Computational Biomedicine Lab, Department of Computer Science, University of Houston, TX 77004, USA5
Escola Politécnica, Pontifícia Universidade Católica do Rio, Grande do Sul5
Telecommun. & Ind. Phys., CSIRO, Epping, NSW, Australia5
Integrated Media Systems Center, University of Southern California, Los Angeles, CA 90089, USA5
National Engineering Laboratory for Video Technology, School of Electronics Engineering and Computer Science, Peking University, Beijing, China5
Department of Electrical Engineering, Pohang University of Science and Technology (POSTECH), South Korea5
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences5
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Shaanxi, China5
School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea5
VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy5
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco - Brazil5
Dept. of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh5
Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba, 278-8510, Japan5
Biometrics and Data Pattern Analytics (BiDA) Lab, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Spain5
CNR IFC-Institute of Clinical Physiology, Pisa, Italy5
Institute for Human-Machine Communication, Technische Univerität München, Arcisstr. 3, 80333 Munich, Germany5
College of Information Engineering China Jiliang University, HangZhou, China 3100185
Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China5
Lawrence Livermore National Laboratory, Livermore, CA5
Computer Science Department, Bina Nusantara University, Jakarta, Indonesia5
Securics, Inc, USA5
C.d.L. Scienze dell'Informazione - Università di Bologna, via Sacchi 3, 47023 Cesena, ITALY5
Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan5
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, 100872, China5
Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines5
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, China5
Norwegian Biometrics Laboratory, Gj⊘vik University College, 2802 Gj⊘vik, Norway5
College of Computer and Information Technology, Institute of Intelligent Vision and Image Information, China Three Gorges University, Yichang, Hubei Province, 443002, China5
University of Athens, Athens, Greece5
School of Electronic Information, Wuhan University, Wuhan, China5
Automotive Processor, Texas Instruments Incorporated, Bangalore, India5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan5
School of Control Science and Engineering, Shandong University, Jinan 250061, P. R. China5
Inst. Nat. des Telecommun., Evry, France5
College of Information Engineering China Jiliang University, 310018, Hangzhou, Zhejiang, China5
State Key Laboratory of Software Development Environment, Beihang University, P.R. China5
Shenzhen Key Lab of Advanced Telecommunication and Information Processing, College of Information Engineering, Shenzhen University5
Centro de Visión Por Computador-Edificio O, Universidad Autónoma de Barcelona, Bellaterra, Spain5
Simula Research Laboratory & University of Oslo, Oslo, Norway5
KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan5
Toyota Central R&D Labs., Inc., Nagakute, Japan5
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava5
College of Information Engineering, China Jiliang University, CJLU Hangzhou, China5
Visionlab, Heriot-Watt University, Edinburgh, UK5
Duke University5
National Chiao Tung University, Department of Computer Science, Hsinchu, Taiwan, R.O.C.5
Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, 4007145
School of Electrical Engineering, Korea University, Anam-dong, Sungbuk-gu, Seoul, 136-713, Rep. of Korea5
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida 328165
State Key Laboratory of Software Engineering, Collaborative Innovation Center of Geospatial Technology, National Engineering Research Center for Multimedia Software, Wuhan University, Wuhan, China5
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai 200240, China5
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ, USA5
Institute of Digital Media, Peking University, Beijing, China5
Northwestern Polytechnical University, Xi'an Shaanxi, China5
CASIS at the Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27411, USA5
Department of Information Technology, National Institute of Technology, Karnataka, Surathkal5
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Minas Gerais, Brazil5
CVIT, IIITH, India5
Department of Automation, State Key Lab of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China5
Department of Information Science and Engineering, Ritsumeikan University, Shiga, Japan5
The Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China5
Princeton University, Princeton, NJ, USA5
University of Science and Technology of China5
Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China5
Centre for Machine Vision Research, University of Oulu, Finland5
Gwangju Institute of Science and Technology5
Information Research Institute, Shandong Academy of Sciences, No 19 Keyuan Road, Jinan, 250014, China5
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, Stuttgart, Germany5
Institute of Information Technology, University of Dhaka5
School of Engineering and Built Environment, Glasgow Caledonian University, Scotland, United Kingdom5
GREYC Laboratory, ENSICAEN - University of Caen - CNRS, 6 Boulevard Maréchal Juin, 14000, France5
State Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou, P.R. China5
IIIT-Delhi5
School of Information Science and Technology, NorthWest University Xi'an, China5
School of Electrical and Automation Engineering, Shanghai University, Shanghai, 200072 China5
School of Electrical and Electronic Engineering, Nanyang Technological University5
Department of Electronic Engineering, Tsinghua University, Beijing, P.R.China5
School of Computer Science, University of Manchester5
Federal University of Rio de Janeiro, Cx.P. 68504, CEP 21945-970, Brazil5
University of Macau, Macau, China5
Beijing University of Posts and Telecommunications, Beijing, P.R. China5
Lancaster University, UK5
College of Information Science and Technology, Beijing Normal University, China5
Department of Computer Science and Engineering, University of Moratuwa, Sri Lanka5
Waseda University, Tokyo, Japan5
Department of Computer Science, New Jersey Institute of Technology, Newark, USA5
Graduate School of Information, Production and System, Waseda University, Kitakyushu, Japan5
University of Southern California, Los Angeles, California, USA5
CBSR&NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Canada5
Department of Electronic Engineering Tsinghua University, Beijing, China, 1000845
Computer Technology Department, University of Alicante, Spain5
Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, GA, USA5
Slovak University of Technology in Bratislava, Faculty of Informatics and Information Technologies, Ilkovičova 2, 842 16, Slovak Republic5
Huazhong University of Science and Technology, China5
Institute of Industrial Information Technology (IIIT), Karlsruhe Institute of Technology (KIT), 76187 Karlsruhe, Germany5
School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China5
School of Automotive Engineering, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian, 116024, China5
CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China5
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences5
Daimler AG, R&D, Böblingen, Germany5
Image Formation and Processing (IFP) Group, University of Illinois at Urbana-Champaign5
GI-IATa, Centro de Investigación, Desarrollo e Innovación en Ingeniería, Universidad Politécnica Salesiana, Cuenca-Ecuador5
Dept. of Computer Science, Faculty of Science Chouaib Doukkali University, El Jadida, Morocco5
School of Biomedical Engineering, Shenzhen University, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, China5
Department of Information Technology, Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur, India5
IBM Research, USA5
Surrey Univ., Guildford, UK5
DeepInsight@PCALab, Nanjing University of Science and Technology5
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, China5
School of Control Science and Engineering, Shandong University5
Machine Vision Laboratory, University of the West of England, Bristol, UK5
Leibniz Universität Hannover, Institute of Microelectronic Systems, 30167 Hanover, Germany5
University of Manchester, Manchester5
IBM T. J. Watson Research Center, USA5
Department of Computer Science, University of Calgary, Calgary, Alberta5
Faculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano 380-8553, Japan5
Key Laboratory of Sensor Networks and Environmental Sensing, Hohai University, Changzhou, China5
University of Illinois at Urbana-Champaign, 1308 W. Main st. 61801, USA5
Department of Electronics, University of Alcalá (UAH), Alcalá de Henares, Madrid, Spain5
School of Data and Computer Science, Sun Yat-Sen University5
Zhejiang University, College of Computer Science, Hangzhou, Zhejiang, 310058, China5
College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China5
LUNAM Université, LIUM, Le Mans, France5
Department of Computing, Imperial College London, UK5
Department of Computer Science and Engineering, University of Electronic Science and Technology, Sichuan, China5
Universite de Techonologie de Compiegne, Sorbonne Universites, Compiegne, France5
Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA5
Software Institute, Jilin University5
Insti. of Image Commu. & Infor. Proce., Shanghai Jiao Tong University, Shanghai, China Shanghai Key Laboratory of Digital Media Processing and Transmissions5
School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, China5
Department of Electrical Engineering, University of Washington, Seattle, WA, USA5
Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China5
School of Computer Science and Engineering, Southeast University, Nanjing, China5
School of Automation, Beijing Institute of Technology, 100081, China5
College of Information Science and Technology, Beijing Normal University, Beijing, P.R. China5
University of California, Riverside, CA, USA5
Department of Mathematics and Computer Science, University of Udine, Udine, Italy5
School of Computer Science and Technology and Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, China5
Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand5
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, Florida, 328165
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing, 100876, China5
Visea İnovatif Bilgi Teknolojileri, ETGB Teknoparkı, Eskişehir, Türkiye5
University of Southern California, USA5
Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China5
Centre for Autonomous and Cyber-Physical Systems, School of Aerospace, Transport and Manufacturing, Cranfield University, MK430AL, UK5
School of Computer and Information, Hefei University of Technology, Hefei 230009, China5
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China5
University of Bologna, Department of Computer Science and Engineering (DISI), Viale del Risorgimento 2, Bologna, Italy5
Graduate School of Informatics, Nagoya University, Japan5
University of Illinois at Urbana Champaign5
Department of Electronics and Telecommunication Engineering, Don Bosco Institute of Technology, Kurla (W), Mumbai, India5
Deptartment of Computer Science & Engineering, University of South Florida, Tampa, 33620, United States of America5
School of Information Engineering, Nanchang Institute of Technology, Nanchang, China5
Department of CSE, National Institute of Technology, Rourkela, India, 7690085
School of Computer Science and Engineering, Robotics Institute, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, 611731, China5
Department of Computer Science, Xiamen University, Xiamen, P. R. China5
Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing, China5
Xi'an University of Technology, Xi'an, 710048, P. R. China5
Department of Electronic Engineering, The Chinese University of Hong Kong5
Soochow University, Suzhou, China5
University of Brescia, Department of Mechanical and Industrial Engineering, Via Branze 38 Brescia, Italy5
School of Electrical Engineering Department, Korea University, Rep. of Korea5
Knowledge Technology Institute, Department of Informatics, University of Hamburg, Hamburg, Germany5
Department of Computer Science, Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia5
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiaotong University5
Shanghai Jiao Tong University, School of Aeronautics and Astronautics, Shanghai, China5
Technische Universität München, Munich, Germany5
School of Automatic, Nanjing University of Posts and Telecommunications, Nanjing, 2100465
Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea5
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China5
Toyota Research Institute5
Southern Illinois University at Carbondale, IL, USA5
Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan5
Lab of Pattern Recognition & Information Security, Hangzhou Dianzi University, 310018, China5
Frontier Research Group, Samsung India Software Operations, India5
School of Information Science and Engineering, Changzhou University, Changzhou, China5
Centre for Artificial Intelligence, University of Technology Sydney, Ultimo, NSW, Australia5
Image and Video System Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-Gu, Daejeon, 305-701, Korea5
National Engineering Research Center on Multimedia Software, Wuhan University, Wuhan 430072, China5
School of Electronic Engineering and Computer Science, Queen Mary University of London, UK5
Cornell University, USA5
Department of Electrical and Computer Engineering Texas A&M University College Station, TX 778435
Inria Paris, Paris, France5
College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China5
ISTI-CNR, Pisa, Italy5
Institute of Artificial Intelligence and Cognitive Engineering, University of Groningen, The Netherlands5
IBM Almaden Research Center, 650 Harry Road, San Jose, CA 95120, USA5
School of Automation, Nanjing University of Posts and Telecommunications, 210003, China5
Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France5
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China, 1001905
Institute for Microsensors, Actuators and Systems, University of Bremen, Bremen, Germany5
Department of Information and Communication Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan5
University of Applied Sciences Aschaffenburg, Germany5
Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan5
Hyundai Motor Company, Gyeonggi-do in South Korea5
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Science, Beijing, 100190, China5
Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland5
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan, P.R. China5
National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China5
Automation and Systems Research Institute, Seoul National University, Seoul, South Korea5
School of Computing, University of Eastern Finland, Joensuu, Finland5
Department of Automation, University of Science and Technology of China5
University of Ontario Institute of Technology, Simcoe St N, Canada5
BMW Group Technology Office5
Institute of Digital Media Peking University, Beijing, China5
University of Texas at Arlington, Arlington5
Department of Computer Science and Engineering, Shanghai Jiao Tong University, China5
Pakistan Navy Engineering College, Karachi National University of Science and Technology, Islamabad Pakistan5
The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China5
Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Center for Learning Science, Southeast University, Nanjing, China5
College of Information Science and Engineering, Northeastern University, Shenyang, 1100045
Computer Laboratory, University of Cambridge, UK5
University of Trento, Italy, Via Sommarive, Trento (Italy)5
Binhai Industrial Technology Research Institute of Zhejiang University, Zhejiang University, Hangzhou, China5
Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan, ROC5
Dept. of Electrical and Computer Engineering, Northeastern University, Boston, MA 021155
College of Computer Science and Technology, Beijing University of Technology, China5
College of Electronic Science and Engineering, National University of Defense Technology, Hunan, China5
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), 08028, Barcelona, Spain5
VIPS Laboratory, School of Electronic Engineering, Xidian University, Xi'an, China5
Faculty of Engineering, Multimedia University, Cyberjaya, Selangor, Malaysia5
Department of Electronic and Computer Engineering, Brunel University London, UK5
Electrical Engineering, Korea University, Seoul 136-713, Republic of Korea5
School of Computer and Information Engineering, Henan University, Kaifeng, China5
School of Electronics and Telecommunications, Hanoi University or Science and Technology, Vietnam5
Universitat Politècnica de Catalunya5
Department of Computer Science, University of Maryland, College Park, MD 207425
School of Automation Science and EngineeringSouth China University of Technology5
Shenyang Institute of Automation, CAS, Shenyang, 110016, China5
Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States5
Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, Dijon, France5
School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand5
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor5
Computer Vision and Pattern Recognition Laboratory (CVPRL), Indian Institute of Technology Ropar, Rupnagar-140001, Punjab, India5
University of Science and Technology of China, Hefei, Anhui, China5
Siqura B.V., Gouda, The Netherlands5
Tsinghua National Laboratory for Information Science and Technology Institute of Microelectronics, Tsinghua University, Beijing, China5
LITIS laboratory, INSA de ROUEN - Université de Rouen IRSEEM, ESIGELEC5
Shenzhen, China5
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China5
Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy5
Computer Vision Lab - Syed Babar Ali School of Science & Engineering Lahore University of Management Sciences5
School of Computer Science and Engineering,, Nanjing University of Science and Technology, Nanjing, China5
Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain5
School of Automation, Beijing Institute of Technology, Beijing 100081, China5
Graduate School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea5
ERAU 3700 Willow Creek Rd Prescott, AZ 863145
University of Freiburg, Germany5
University of Southampton5
School of Computer Science, Nanjing University of Science and Technology, Nanjing, China5
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran5
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University5
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University5
School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, 200240, China5
Department of Computer Science, Rutgers University, Piscataway, NJ, USA5
School of Information Technologies, The University of Sydney, Australia5
The authors are with the Department of Teleinformatics Engineering,Federal University of Ceará C.P. 6007, CEP: 60555-760,Fortaleza-CE, Brazil5
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye5
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, China5
Cornell University5
Department of Computing, The Hong Kong Polytechnic University, China5
School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China5
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China5
European Commission, Joint Research Centre (JRC), Institute for Transuranium Elements (ITU), Via Enrico Fermi 2749, Ispra (VA), Italy5
Beijing Technology and Business University, Beijing, China5
Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, 302017, India5
University of Southern California, Los Angeles, USA5
Department of Computer Science Engineering, Jaypee Institute of Information Technology, Noida, India5
Centro de Investigación en Informática para la Ingeniería (CIII) Universidad Tecnológica Nacional, Facultad Regional Córdoba, Maestro Lopez esq. Cruz Roja Argentina, Córdoba Argentina5
INESC-ID, IST, Universidade de Lisboa, Rua Alves Redol 9, 1000-029 Lisbon, Portugal5
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China5
Center for Machine Vision Research, University of Oulu5
SKLOIS, IIE, CAS, Beijing, China5
Department of Computer Science, CAMP, Technische Universität München (TUM), Germany5
Technion - Israel Institute of Technology5
Department of Information and communication engineering, INHA University Computer Vision Laboratory, Incheon, South Korea5
Hebrew University of Jerusalem, Jerusalem, Israel5
Kulliyyah of Information & Communication Technology, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia5
Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang-si, South Korea5
University of California Irvine, CA5
Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China5
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences5
School of Information Science and Engineering, Shandong Normal University, Jinan, China5
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 152135
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA5
Computer Vision Group, Friedrich Schiller University Jena, Germany5
National University of Defense Technology, Changsha, China5
University of Amsterdam, The Netherlands5
Department of Computer Science and Engineering, University of Minnesota, Twin Cities, USA5
Centre of Development of Advanced Computing (CDAC) Mumbai, 400049, India5
School of Information Science and Engineering, Central South University, Changsha, 410083, China5
Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan5
School of Computing, National University of Singapore, Singapore, Singapore5
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China5
College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications, China5
Sun Yat-sen University, Guangzhou5
School of Computer Science and Engineering, Nanjing University of Science and Technology5
Department of Signal Processing, Tampere University of Technology, Tampere, Finland5
Faculty of Information Technology, College of Information and Communication Technology, Thai Nguyen University, Vietnam5
Image and Video Systems Lab, School of Electrical Engineering, KAIST, Republic of Korea5
College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China5
Department of Computing, Imperial College London, London, UK5
Department of Computer Science, State University of New York at Binghamton, USA5
Faculty of Science and Technology, Tokyo University of Science, Chiba, Japan5
University of Tsukuba5
School of Communication and Information Engineering, Shanghai University, Shanghai, China5
The LNM Institute of Information Technology, Jaipur, India5
University at Albany, State University of New York, USA5
IBM China Research Laboratory, Beijing, China5
SIAT at Chinese Academy of Sciences, China5
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Haidian District, Beijing, China5
Lawrence Berkeley National Laboratory, Berkeley, USA5
Department of Electrical and Computer Engineering, Biometric Technologies Laboratory, University of Calgary, Calgary, AB, Canada5
State Key Laboratory of Software Development Environment, Beihang University, Beijing, China5
Technical University of Cluj-Napoca, Computer Science Department, Romania5
Imperial College London, London, United Kingdom5
Northeastern University, Shenyang, China5
Technical University of Cluj-Napoca, Department of Communication, C. Daicoviciu 15, Cluj-Napoca, Romania5
Ocean University of China, Department of Educational Technology, Qingdao, China5
South China University of Technology, Guangzhou, 510641, China5
Department of Computer Science, Technical University of Cluj-Napoca, Romania5
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea5
School of Information Technology and Electrical Engineering, The University of Queensland, Australia5
Graduate School of Electrical and Computer Engineering, University of Ulsan, Ulsan 680-749, Korea5
University of California, Merced5
College of Information Engineering China Jiliang University, Hangzhou, China 3100185
Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Center for Research on Intelligent Perception and Computing, CASIA5
Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA5
Yonsei University, Seoul, South Korea5
Department of Computing, Imperial College London, London, Unithed Kingdom5
International Computer Institute, Ege University, Izmir, Turkey5
Cummins College of Engineering for Women5
Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.5
Shandong University, School of Information Science and Engineering, Jinan, China5
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China5
Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)5
Stony Brook University5
College of Command Information Systems, PLA University of Science and Technology (PLAUST), Nanjing, China5
Artificial Vision Laboratory, National Taiwan University of Science and Technology, Taipei, Taiwan5
Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan5
Department of Computer Science & Engineering, The Ohio State University, OH5
Tsinghua National Laboratory for Information Science and Technology, Key Laboratory for Information System Security, Ministry of Education, School of Software, Tsinghua University, Beijing, China5
Department of Electrical Engineering, University of California, Riverside5
Beijing Key Laboratory of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China5
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences5
Beihang University, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beijing, 100191, China5
Department of Electrical and Computer Engineering, and CyLab Biometrics Center, Carnegie Mellon University, USA5
University of Illinois at Urbana-Champaign, Champaign, IL, USA5
Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany5
Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, Zhejiang, P.R. China5
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China5
University of Illinois at Urbana-Champaign, USA5
Medical Image Computing (ESAT/PSI), Faculty of Engineering, Katholieke Universiteit Leuven, University Hospital Gasthuisberg, Herestraat 49 box 7003, Belgium5
University of Surrey, Guildford, UK5
Centre for Artificial Intelligence, School of Software, FEIT, University of Technology Sydney, Australia5
Center for Behavioral Imaging and College of Computing, Georgia Institute of Technology, Atlanta, GA5
Google, California, United States5
PARC, Palo Alto, CA, USA5
Institute for Infocomm Research - A*STAR, 1 Fusionopolis Way #21-01 Singapore 1386325
Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece5
State Key Laboratory of Software Engineering, School of Computer, Wuhan University5
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciencse, Beijing, China5
MIT Lincoln Laboratory, Lexington, MA, USA5
University of California, Irvine, Irvine, USA5
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, New York, USA5
Dept. of Computer Science, Indiana University Purdue University Indianapolis, USA5
Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, USA5
Computer Science and Technology Department, Tsinghua University, Beijing, China5
National Engineering Research Center on Multimedia Software, School of Computer, Wuhan University, Wuhan, China5
Ryerson Multimedia Laboratory, Ryerson University, Toronto, Canada5
Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand5
University of Nottingham, UK5
Disney Research, UK5
Computer Vision and Image Processing Laboratory (CVIP), University of Louisville, Louisville, KY, 402925
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore5
Queen Mary University of London, London, U.K.5
School of Electronic Information, Wuhan University, 430079, China5
CTA, Gdańsk, Poland5
Institute of Intelligent System and Decision, Wenzhou University, China, 3250355
Johannes Kepler University, Linz, Austria5
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, China5
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung, University, Tainan, Taiwan, R.O.C5
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada5
Institute of Measurement and Control, Karlsruhe Institute of Technology, Karlsruhe, Germany5
Dept. of Autom., Tsinghua Univ., Beijing, China5
Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Japan5
University of Alberta, Canada5
Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA5
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia5
School of Information and Communication Engineering, Dalian University of Technology, China5
K.U. Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images at the Medical Imaging Research Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium5
National Tsing Hua University, Hsinchu, Taiwan5
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China5
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China5
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, China5
Intelligent Systems Research Laboratory School of Computer Science and Electronic Engineering University of Reading, United Kingdom5
University of Malaya, Kuala Lumpur, Malaysia5
Advanced Digital Sciences Center (ADSC), University of Illinois at Urbana-Champaign, Singapore, Singapore5
University of Technology Sydney, Sydney, Australia5
Centre for Intelligent Systems Research Deakin University, Australia5
Alibaba Group, Hangzhou, China5
Department of Computer and Information Sciences, Temple University, Philadelphia, 19122, PA5
Dept. Electrical Engineering, National Taiwan University, Taipei, Taiwan5
Chonnam National University, Gwangju, Korea5
National Taiwan University of Science and Technology, Taipei, Taiwan Roc5
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China5
Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia5
National Engineering Lab for Video Technology, Key Lab of Machine Perception(MoE), School of EECS, Peking University, Beijing, China5
Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, 2 George St., Brisbane, 4001, Australia5
Intel Labs5
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA5
Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana USA5
University of Sheffield, Sheffield, United Kingdom5
Dipartimento di Ingegneria dell'Informazione Università Politecnica delle Marche, Via Brecce Bianche, 60131, Ancona, Italy5
R V College of Engineering, Department of Computer Science and Engineering, Bangalore, India5
Institute of Information Science, Academia Sinica, Taipei, Taiwan5
Harada/Ushiku Lab., Graduate School of Information Science and Technology, The University of Tokyo5
Affectiva Inc., Waltham, MA, USA5
CBSR&NLPR. Institute of Automation Chinese Academy of Sciences., Beijing, 100190, China5
The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China5
Institute of Computing, University of Campinas, Campinas, SP, Brazil, 13083-8525
Exploratory Comput. Vision Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA5
School of Software Technology, Dalian University of Technology, China5
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada5
University College London, London5
University of Illinois at Chicago, Chicago, Illinois, USA5
Fujitsu Laboratories Limited, Kanagawa, Japan5
Sun Yat-Sen University, Guangzhou 510006, China5
Inst. of Comput. Technol., Chinese Acad. of Sci., China5
Huawei Technologies, Beijing, China5
School of Internet of Things Engineering, Jiangnan University, Wuxi, China5
Electronics and Telecommunications Research Institute, Korea5
TDC, Network Systems and Technologies (NeST) Technopark, Thiruvananthapuram - 695581, India5
National Research University Higher School of Economics, Moscow, Russia5
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China5
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, Beijing, 100190, China5
University of Houston, Houston5
University of Tübingen, Germany5
IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA5
University of Delaware, Newark, DE, USA5
Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China5
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 212185
Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada5
San Diego State University, San Diego, CA, USA5
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China5
Massachusetts Institute of Technology, USA5
Universidade Nova de Lisboa, Caparica, Portugal5
Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown WV 26506, USA5
Microsoft Res. Asia, Beijing, China5
TU Darmstadt5
Department of Computer Science, University College London, UK5
Information Engineering College, Henan University of Science and Technology, Luoyang, China5
Waseda University5
LAAS-CNRS, Toulouse, France5
School of Resource and Environmental Sciences, Wuhan University, Wuhan, China5
Cognitive Science Department, Xiamen University, Xiamen, China5
Department of Computer Science, Universidade Federal de Minas Gerais, Brazil5
Zhejiang University & Alibaba Group, Hangzhou, China5
School of Computer Science & Engineering Northeastern University(NEU), Shenyang, China5
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom5
Measurement and Information Systems, Warsaw University of Technology, Institute of Theory of Electrical Engineering, ul. Koszykowa 75, Warszawa, 00-662, Poland5
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Hanoi, Vietnam5
Centre for Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney, New South Wales, Australia5
New York University, New York City, NY, USA5
Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China5
Ghent University, Belgium5
GSCM-LRIT, Faculty of Sciences, Mohammed V University, PO.Box 1014, Rabat, Morocco5
School of Electronic Information, Wuhan University, 430072, China5
School of Computer Science, Beijing Institute of Technology, Beijing 100081, P.R. China5
Department of Computer Engineering, Karadeniz Technical University, Trabzon, Turkey5
Nokia Research Center, Beijing5
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia5
REGIM: Research Groups on Intelligent Machines, University of Sfax, ENIS, Tunisia5
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, China 4100735
College of Information and Communication Engineering, Harbin Engineering University, Harbin, China5
Bahcesehir University, Istanbul, Turkey5
University of Technology, Sydney, Sydney, Australia5
Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain5
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, HR-10000 Zagreb, Croatia5
The Pennsylvania State University, University Park, PA, USA5
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI5
School of Computer Science and Technology, Tianjin University, Tianjin, 300350, China5
Department of Computer Science, University of Illinois at Urbana-Champaign5
Department of Computer Science and Technology, Tongji University, Shanghai, China5
IIIT Hyderabad, India5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Japan5
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA5
Department of Computer Science, University of Oxford5
Institut für Informationsverarbeitung, Gottfried Wilhelm Leibniz Universität Hannover, Hannover, Germany5
University of Queensland, Brisbane, Australia5
School of Artificial Intelligence, Xidian University, Xi’an, China5
Intelligent Systems Lab (LSI) from Universidad Carlos III de Madrid, Leganés, Spain5
The Australian Centre for Visual Technologies, The university of Adelaide4
University of Technology, Sydney, P.O. Box 123, Broadway, NSW, 2007, Australia4
Department of Electronic Engineering, University of Electronic Science and Technology of China, 611731 Chengdu, Sichuan, China4
Delft University of Technology, Netherlands4
Xi'an Jiaotong University, School of Software Engineering, Xi'an, China4
University of the Western Cape, Bellville, Western Cape4
Queensland University of Technology, Australia4
Department of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan4
Technicolor, 975 Avenue des Champs Blancs, Cesson-Sevigne, 35576, France4
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, China4
Complutense University, Madrid, Spain4
Department of Information Science & Electronic Engineering, Zhejiang University, No. 38 Zheda Road, Hangzhou 310027, China4
Dept. of Computing, Curtin University GPO Box U1987, Perth, WA 68454
Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China4
Department of Electronics and Communication Engineering, Hanyang University (ERICA Campus), South Korea4
Korea Advanced Institute of Science and Technology, Daejeon, Korea4
New York University, Brooklyn, NY, USA4
Institute of Image Processing and Pattern Recognition, Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, China4
Department of Computer Science & Engineering, Department of Electronics Engineering, Indian Institute of Technology (B.H.U.), Varanasi-221005, India4
School of EE, KAIST, Yuseong-gu, Daejeon, Republic of Korea4
Robotics Research Center, Kohli Center on Intelligent Systems, IIIT Hyderabad, India4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China4
University of Chinese Academy of Sciences & CAS, Beijing, China4
Department of Electrical and Computer Engineering, University of Windsor, Ontario, Canada4
School of Computer Science, Cardiff University, Cardiff, U.K.4
National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China4
Department of Electrical and Electronic Engineering, University of Bristol, Bristol, U.K.4
Advanced Computing Research Laboratory, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China4
Intelligent Sensing and Communications Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K.4
School of Computing, Informatics & Media, University of Bradford, Bradford City, UK4
Johannes Bach, Jacob Langner, Stefan Otten and Eric Sax are with FZI Research Center for Information Technology, 76131 Karlsruhe, Germany4
Corporate Research & Development, Toshiba Corporation, Japan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications No 10, Xitucheng Road, Haidian District, Beijing, China, 1008764
Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, LANZHOU JIAOTONG UNIVERSITY, Lanzhou, Gansu Province, China4
Cognition Technology Research Team, Electronics and Telecommunications Research Institute, Daejeon, 305-700, Republic of Korea4
Institute of Microelectronic Systems, Leibniz Universität Hannover, Appelstr. 4, 30167 Hannover, Germany4
College of Science, National University of Defense Technology, Changsha, China4
University of Portsmouth, United Kingdom4
University of Udine, Via Delle Scienze, Udine, Italy4
School of Computer Science and Information Technology, Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, 130117, China4
Department of Telecommunication, Brno University of Technology, Czech Republic4
Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland4
École de technologie supérieure (ÉTS) Montreal, Canada4
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing, China4
Informatics Institute, University of Amsterdam, Netherlands4
Australian Centre for Field Robotics, The University of Sydney, Sydney, NSW, Australia4
College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China4
Université de Lyon, CNRS, UMR5205, F-69622, France4
Department of Computer Engineering, K J Somaiya COE4
Department of Automation, Tsinghua University, Beijing 100084, China4
LITIS laboratory, INSA of ROUEN - University of Rouen, France4
Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic4
Department of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China4
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Lishui Road 2199, Nanshan District, China 5180554
Department of Electrical Engineering, Indian Institute of Technology Kanpur, India4
Department of Information Technology4
Department of Computer Science, Aalto University, Finland4
Université de Lyon, CNRS, UMR5205, F-69622, France4
National Laboratory of Pattern Recognition, Institute of Automations, Chinese Academy of Sciences, Beijing, China4
Signal & Information Processing Laboratory, Beijing University of Technology, China, 1001244
North China Electric Power University Department of Electronic and Communication Engineering Baoding, Hebei, China4
Federal University of Piauí, Teresina, Brazil4
University of Michigan, USA4
Rey Juan Carlos University, C. Tulipán, S/N, Móstoles, Madrid, Spain, 289334
Singapore and the ST Engineering, NTU Corporate Lab, Nanyang Technological University, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore4
Institute for Human-Machine Communication, Technische Universität München, Germany4
POLCOMING, University of Sassari Viale Mancini 5-07100 Sassari - Italy4
Technische Hochschule Ingolstadt, Institute for Applied Research (IAF) Esplanade 10, 85049 Ingolstadt4
Department of Electrical Engineering, University of Windsor, ON, N9B3P4, Canada4
Department of Automation, University of Science and Technology of China, Anhui Hefei 230027, P. R. China4
Image and Video Laboratory, Queensland University of Technology (QUT), Brisbane, Australia4
Information Technologies Institute, Centre for Research and Technology Hellas4
Robotics and Artificial Intelligence Lab, Indian Institute of Information Technology, Allahabad, 211012 (U.P), India4
Universitas Indonesia, Depok, Indonesia4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China4
State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, China4
Department of Electronics, Computer Sciences and Systems, University of Bologna, Cesena, Italy4
Intelligent Cognitive Tech. Research Dept., ETRI, Daejeon, Korea4
HumanTech Institute, University of Applied Sciences, Fribourg, Switzerland4
Department of Electrical and Computer Engineering, Rowan University, Glassboro, NJ- 080284
College of Computer Science, Sichuan University, China4
LAPI, University Politehnica of Bucharest, Romania4
School of Computer, Wuhan University, 430072, China4
State Grid Shanxi Electric Power Research Institute, Taiyuan, 030001, China4
CEA LIST, Vision and Content Engineering Lab, Point Courrier 94, Gif-sur-Yvette, F-91191 France4
Laboratory of Autonomous Robotics, Department of Electrical & Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel4
Computer Vision Lab, Inha University, Inha-ro 100, Nam-gu, Incheon, South Korea4
Computer Engineering Department, Polytechnic School, University of Alcal á, Madrid, Spain4
Haerbin Institue of Technology, Harbin, China4
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA4
Faculty of Computing and Information Technology, Tunku Abdul Rahman University College, Setapak, Malaysia4
Institute of Systems and Robotics, Electrical and Computer Engineering Department, University of Coimbra, Portugal4
Department of Computer Science & Information Technology, University of Malakand, Khyber Pakhtunkhwa, Pakistan4
Sun Yat-Sen University4
School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China4
Shanghai University School of Communication and Information Engineering Shanghai, China4
Chair of Production Engineering of E-Mobility Components of RWTH Aachen University, 52074 Aachen, Germany4
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, P. R. China4
Media Integration and Communication Center - MICC, University of Florence, Italy4
Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, 09123, Italy4
School of Electronics and Information Technique, Harbin Institute of Technology, No.92, West Da-Zhi Street, Heilongjiang, China4
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China 1001914
Advanced Technical Center - Israel, General Motors R&D, Hamada 7 Herzlyia, Israel4
Image and Video Systems Laboratory, Korea Advanced Institute of Science and Technology, Daejeon, Korea4
University of Denver, Denver4
The Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia4
School of Computer Science and Engineering, Nanjing University of Science and Technology, 210094, China4
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, P.R. China4
Electrical and Computer Engineering, North Carolina State University, NCSU, Raleigh, North Carolina, USA4
Department of Information and Electronics, Graduate School of Engineering, Tottori University4
Department of Mathematics and Computer Science University of Basel4
School of Communication Engineering and the Kangni Mechanical and Electrical Institute, Nanjing Institute of Technology, Nanjing, China4
IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal4
LITIS laboratory4
Computer Science Department, University of Illinois at Urbana-Champaign, USA4
Department of Automation, University of Science and Technology of China, Hefei, Anhui, China4
Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, USA4
Department of Electrical Engineering, Indian Institute of Science, Bangalore4
Instituto Superior Tecnico , Lisbon, Portugal4
Sch. of Comput., Singapore Nat. Univ., Singapore4
IISIS, University of North Carolina Wilmington, 28403, USA4
School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, 6140, New Zealand4
School of electronic information and control engineering, Beijing University of Technology, China4
SATIE, Université Paris-Sud, ENS Cachan, CNRS, Université Paris-Saclay, 91405, Orsay, France4
Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, New York University Abu Dhabi, UAE4
Electronics and Communication Engineering Department, Istanbul Technical University, 34469 Maslak, TURKEY4
Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386324
Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science, Sun Yatsen University, Guangzhou, China4
Leibniz Universität, Hannover, Germany4
Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China, Huazhong University of Science and Technology, Wuhan, China4
Graduate School of Informatics, Nagoya University, Aichi, Japan4
Graduate Shcool of Information Science, Nagoya University, Japan4
Division of Biomedical Engineering, University of Cape Town, South Africa4
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, P.R., Shannxi, China4
School of Computer Science and Engineering, Wuhan institute of Technology, Wuhan, China, 4300734
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China 6117314
Intelligent Data Center and the Department of Mathematics, Sun Yat-sen University, Guangzhou, China4
Social Robotics Lab, Interactive Digital Media Institute, Department of Electrical and Computer Engineering, National University of Singapore, Singapore4
Wuhan Zhongyuan Huadian Science & Technology Co., Ltd., Wuhan, China4
Department of Electrical and Computer Engineering, Seoul National University4
Centre de Visió per Computador Universitat Autònoma de Barcelona4
LIMIARF, Faculty of Sciences, Mohammed V University in Rabat, Morocco4
Artificial Intelligence Institute, Zhejiang University Hangzhou, China4
School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China4
School of Electronics and Computer Science, University of Southampton, UK.4
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi'an, P R China4
College of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China4
Université Paris-Sud, Institut d'Electronique Fondamentale, UMR8622, Orsay, F-91405, CNRS, Orsay, F-914054
Department of Automation, with the State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Tsinghua National Laboratory for Information Science and Technology, Beijing, China4
IT Department, Mutah University, Karak, Jordan, 617104
Nanjing University of Posts and Telecommunications, 210046, China4
Institute for Advanced Computer Studies, University of Maryland, College Park4
Center for Electrical Engineering and Informatics, Federal University of Campina Grande, Paraíiba, Brazil4
Mitsubishi Electric Research Laboratories (MERL), 201 Broadway, Cambridge, MA 02139, USA4
McMaster University, Hamilton, ON, Canada4
Sensors & Electron Devices Directorate, Army Research Laboratory, Adelphi, MD, USA4
Sun Yat-sen University, School of Data and Computer Science, GuangZhou, China4
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Guayaquil, Ecuador4
National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China4
Department of Automation, Tsinghua University4
Graduate School of Engineering, Mie University4
Department of Computer Science & Engineering, Centre for Computer Vision and Pattern Recognition, National Institute of Technology Rourkela, Rourkela, India4
School of Computer Science, University of the Witwatersrand, Johannesburg, South Africa4
College of Mechatronics and Automation, National University of Defense Technology, Changsha, China4
Electrical and Computer Systems Engineering, School of Engineering, Monash University Malaysia, 46150 Selangor, Malaysia4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China4
School of Computer Science and Technology& Provincial key Laboratory for Computer information processing technology Soochow University Suzhou 215006, Jiangsu, China4
Grupo de Tratamiento de Imágenes, Information Processing and Telecommunications Center (IPTC) and ETSI Telecomunicacioìn, Universidad Politécnica de Madrid, Madrid, Spain4
Universitat Politécnica de Catalunya, BARCELONATECH Image and Video Processing Group, C. Jordi Girona 31, Barcelona, 08034, Spain4
Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China4
School of Automation and Information Engineering, Xi'an University of Technology, Xi'an, China4
Boğaziçi University, Bebek, Istanbul, Turkey4
Department of Computer Science and Technology, Tsinghua University, China4
College of electronic and information engineer Changchun University of Science and Technology Changchun China4
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, China4
School of Computing, University of Leeds4
Graduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga, 525-8577 Japan4
Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy4
Zhejiang University, Hangzhou, 310027, P.R. China4
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, Michigan 48128, USA4
Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt4
School of Communication and Information Engineering, Shanghai University, China4
School of Computing 8 Info. Sciences, Florida International University, Miami, FL, USA4
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, USA4
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA4
Dept. of Telecommunications and Multimedia, University of Zilina, Univerzitna 1, 010 26 Zilina4
Faculty of Mathematics and Statistics, and Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, China4
Peking University, National Engineering Laboratory for Video Technology, School of EE&CS, Beijing, China4
School of Mechatronics Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai University, Shanghai (200072), China4
Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan4
Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China4
Beijing Jiaotong University, School of Computer and Information Technology, Beijing, China4
Biometric Engineering Research Center, Yonsei University, Seoul, Korea4
University of Electronic Science and Technology of China4
Department of Electrical and Computer Engineering and ASRI, Seoul National University, Seoul, South Korea4
Honda Research Institute, 375 Ravendale Dr, Suite B, Ravendale, CA, 94043, USA4
Department of Informatics, Aristotle university of Thessaloniki, Greece4
School of Electrical Engineering and Computer Science, Queensland University of Technology, GPO Box 2434, Brisbane, QLD 4001, Australia4
Department of Computer Science and Engineering, Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering4
Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands4
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology , Chinese Academy of Sciences, Beijing, China4
Moulay Ismail University, Faculty of Sciences and Techniques, Department of Computer Science, ASIA Team, M2I Laboratory, BP 509 Boutalamine 52000, Errachidia, Morocco4
Beijing, Haidian, China4
Department of Industrial Engineering and Management, Faculty of Technical Sciences, Novi Sad, Serbia4
Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, People's Republic of China4
Video/Image Modeling and Synthesis Laboratory, Department of Computer and Information Sciences, University of Delaware, Newark, DE4
Jiangsu University, Zhenjiang, Jiangsu, China4
School of Electronics, Electrical and Communication Engineering University of Chinese Academy of Sciences, Beijing, China4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China 1008764
The Electronic Engineering Department, Sogang University, Seoul, Korea4
Pennsylvania State University, University Park, PA, USA4
Key Lab of Optoelectronic Technology & Systems of Education Ministry, Chongqing University, China4
School of Cyber Security, Shanghai Jiao Tong University, Shanghai, China4
Streaming Lab, Shen Zhen Instituted of Information Technology4
Dept. Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran4
Image and Video Systems Lab, School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
Computer Vision Center, Universitat Autònoma de Barcelona, Spain4
Department of Information Engineering and Computer Science (DISI), University of Trento, Trento, Italy4
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China 2120134
Department of Computer Engineering, Khalifa University, UAE4
Department of Electrical and Information Engineering, Covenant University, Ota Ogun State, Nigeria4
College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, P. R. China4
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia4
Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China4
LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061071, Romania4
Shanghai Key Laboratory of Multidimensional Information Processing, Department of Computer Science and Technology, East China Normal University, China 2002414
Department of Computer Science and Engineering, Michigan State University, East Lansing MI 488244
U&P U. Patel Department of Computer Engineering, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India4
Institute of Computer Science and Technology, Beijing, China4
Key Laboratory of System Control and Information Processing, Ministry of Education of China, School of Electron Information and Electrical Engineering, Shanghai Jiao Tong University, China, 2002404
Dept. of Comput. Sci. & Eng., Notre Dame Univ., USA4
Key Laboratory of Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China4
Department of Electrical and Computer Engineering and ASRI, Seoul National University, Seoul, Korea4
Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Gliwice, Poland4
College of Computer Science, Zhejiang University, China4
Shenzhen Key Lab of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, The Chinese University of Hong Kong, Hong Kong SAR4
School of Resource and Environment Sciences, Wuhan University, Wuhan, China4
NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan4
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China4
sch. EECS, Peking University, Beijing, China4
Department of Computer Science & Technology, Nanjing University of Science & Technology, Nanjing 210094. E-MAIL: laterfall2@yahoo.com.cn4
Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea4
Key Laboratory of Fiber Optic Sensing Technology and Information Processing, Ministry of Education, Wuhan University of Technology, China4
Beijing Key Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China4
State Key Laboratory of Virtual Reality Technology and Systems, Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, Beijing, China4
Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, International Research Center for Intelligent Perception and Computation, Joint International Research Laboratory of Intelligent Perception and Computation of China, Xidian University, Xi’an, China4
Graduate School of Advanced Imaging Science, Multimedia and Film, Chung-Ang University, Seoul, Korea4
College of Computer Science and Technology, Zhejiang University, China4
Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, 02881, USA4
Nippon Telegraph and Telephone Corporation, Kanagawa, Japan4
IIIT-Delhi, New Delhi, India4
Laboratory of Signal Processing, Tampere University of Technology, Tampere, Finland4
School of Computer Science, Sichuan University, Chengdu, China4
Multimedia Communications Laboratory, University of Information Technology VNU-HCM, Ho Chi Minh City Vietnam4
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway4
Xerox Research Centre Europe, FRANCE4
Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Brazil4
Princeton University4
University of California, San Diego, USA4
imec-IPI-Ghent University, Sint-Pietersnieuwstraat 41, 9000 Gent, Belgium4
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing, China, 1001904
The University of Queensland, School of ITEE, QLD 4072, Australia4
DRIVE EA 1859 Laboratory, Univ. Bourgogne Franche Comté, F58000, Nevers, France4
Nanyang Technological University, School of Electrical and Electronics Engineering, Singapore, 6397984
University of Vienna, Vienna, Austria4
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA4
Multimedia Processing Lab., Samsung Advanced Institute of Technology (SAIT), Suwon-si, Korea4
NVIDIA, Santa Clara, CA4
Osaka university, Japan4
Willow Garage Inc., Menlo Park, CA, USA.4
Facultad de Ingeniería, Universidad Panamericana, Aguascalientes, Mexico4
Chair of Media Technology, TUM, Munich, Germany4
Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy4
Corporate Research & Development Center, TOSHIBA Corporation, Japan4
School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, NSW 2522, Australia4
Information Research Institute of Shandong Academy of Sciences, Jinan, China4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology4
Department of Automation, Tsinghua University, State Key Lab of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China4
University of Michigan, Ann Arbor, MI4
School of Communication and Information Engineering, BUPT, Beijing, China4
Nanjing University, Nanjing, Jiangsu, China4
School of Computer Science and Engineering, University of Electronic Science and Technology of China4
Technical University of Catalonia (UPC), Department of Signal Theory and Communications, Spain4
Technical University of Berlin (TUB), Communication Systems Group, Germany4
Department of Computer Science, Swansea University, Swansea, UK4
TU Darmstadt, Germany4
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China4
School of Information and Communication Engineering, Dailian University of Technology, Dalian, China4
The Hong Kong Polytechnic University, Hong Kong, Hong Kong4
College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China4
State Key Laboratory of Industrial Control Technology, Zhejiang University No. 38 Zheda Road, Hangzhou, China, 3100274
Complex System Control Theory and Application Key Laboratory School of Electrical and Electronic Engineering, Tianjin University of Technology (TJUT), Tianjin, 300384, China4
National Key Laboratory of Aerospace Intelligent Control Technology, Beijing 100854, P.R. China4
Radboud University, Nijmegen, HR, The Netherlands4
School of Engineering, Universidad Autonoma de Madrid, Spain4
Electronics and Telecommunications Research Institute, Daegu-Gyeongbuk Research Center, Republic of Korea4
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing, China4
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China4
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India4
Dalle Molle Instituite for Artificial Intelligence (IDSIA), Lugano, Switzerland4
Faculty of Science and Engineering, Waseda University, Tokyo, 162-0042, Japan4
Michigan State University, USA4
College of Computer Science, Sichuan University, Chengdu, 610065, China4
Faculty of Information Science and Technology (FIST), Multimedia University, Melaka, Malaysia4
Multimedia Computing Research Laboratory, University of Ottawa, Ottawa, ON, Canada4
School of Computer Science, Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China4
Center for Computer Vision and Department of Mathematics, SunYat-Sen (Zhongshan) University, Guangzhou 510275, China4
Graduate School at Shenzhen, Tsinghua University, Shenzhen Institute of Future Media Technology, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, China4
Lancaster University, Lancaster, UK4
Visual Sensorics & Information Processing Lab, Goethe University Frankfurt am Main, Germany4
School of Computer and Information, Hefei University of Technology, China4
DII, Università degli Studi di Siena, Via Roma, 56 - 53100 (Italy)4
College of Automotive Engineering, Kookmin University, Seoul, South Korea4
School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia4
CSIR-Central Scientific Instruments Organisation, Chandigarh, India4
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran4
School of Computer Science and Technology, University of South China, Hunan, China4
Center for Future Media & School of Computer Science and Engineering University of Electronic Science and Technology of China, China4
College of Information System and Management, National University of Defense Technology, Changsha, Hunan Province, China4
Institute for Systems and Robotics / IST, Technical University of Lisbon, Portugal4
GRAM, Dept. of Signal Theory and Communications, University of Alcalá, Alcalá de Henares, Spain4
The Robotics Institute, Carnegie Mellon University, Pittsburgh, USA4
Dept of Computer Engineering, MIT College of Engineering4
Electronic, and Communication Engineering, Chuo University, Department of Electrical, Tokyo,Japan4
Department of Electrical and Computer Engineering, Beckman Institute Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA4
Tsinghua National Laboratory for Information Science and Technology, Tsinghua Uinversity, Department of Electronic Engineering, Beijing 100084, China4
Face Recognition and Artificial Vision Group - Universidad Rey Juan Carlos, C/ Tulipán, s/n - Móstoles - 28933 - Spain4
ETH Zürich, 8092 Zürich, Switzerland4
School of Computer, National Engineering Research Center for Multimedia Software, Wuhan University, China4
Jiangsu University, Zhenjiang, China4
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China 10008764
Chubu University, 1200 Matsumoto cho, Kasugai, Aichi, Japan4
School of Computer Science & Engineering, Xi'an University of Technology, China4
Dept of computer science International Islamic University Malaysia (IIUM) Kuala Lumpur, Malaysia4
State Key Laboratory of Intelligent Control and Management of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China4
Department of Computer Science, Yonsei University, Seoul, Korea4
Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China4
Department of Medical Biophysics, University of Western Ontario, London, ON, Canada4
Automation Department, Tsinghua University, Beijing, China4
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China4
School of Information Renmin University of China, Beijing, China4
Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece4
School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada4
Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea4
Center for Computer Vision and Department of Mathematics, Sun Yat-Sen University, Guangzhou, China4
Department of Electrical and Computer Engineering, University of Windsor, ON, N9B 3P4, Canada4
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, 2019 Jialuo Road, Jiading, Shanghai, P.R. CHINA4
College of Computer Science & Software Engineering, Shenzhen University, GuangDong, China4
chool of Electrical Engineering, KAIST, Daejeon, 305-701, Korea4
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore4
Information Technologies Institute, CERTH, Thessaloniki, Greece4
Department of Computer Science, Tamaki Campus, The University of Auckland, 1142, New Zealand4
Youngstown State University, USA4
School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China, 4300734
Ist. di Studi sui Sistemi Intelligent per l'Automazione, CNR, Bari, Italy4
University of Mannheim, Mannheim, Germany4
National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, China4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang, University, Beijing 100191, China4
Dept. of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan4
Graduate School of Engineering, Mie University, Tsu, Mie, Japan4
Indian Statistical Institute, Kolkata, India4
School of Computer Science and Engineering, Xi'an University of Technology, China4
University of Salzburg, Department of Computer Sciences, 5020 Salzburg4
Tsinghua National Lab for Info. Sci. & Tech. (TNList), Department of Computer Science and Technology, Tsinghua University, Beijing, China, 1000844
NERCMS, School of Computer, Wuhan University, China4
Department of Computer Science, Western University, London, ON, N6A 5B7, Canada4
Fakulta riadenia a informatiky, Žilinská Univerzita v Žiline, Žilina, 01026, Slovakia4
Dept. of Brain and Cognitive Engineering, Korea University, Seoul, Korea4
Contents Protection and Management Team, ETRI, Deajeon, KOREA4
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, United Kingdom4
Institute of Machine Learning and Systems Biology, College of Electronics and Information Engineering, Tongji University, Caoan Road 4800, Shanghai 201804, China4
Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea4
Visual Information Processing Laboratory/Shenzhen Key Laboratory of Science and Technology, Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, China4
Department of Computer Science, University of North Carolina, Charlotte, NC, USA4
Dipt. di Matematica ed Inf., Univ. degli studi di Salerno, Italy4
Department of Computer Science and Information Engineering, National Cheng Kung University, Taiwan4
Universidad Rey Juan Carlos, Spain4
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Germany4
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China4
Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany4
Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India4
Computer Science and Engineering Dept., University of Nevada Reno, USA4
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105204
Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea4
College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China4
Norwegian Biometrics Laboratory, NTNU, 2802 Gj⊘vik, Norway4
Computer Science Department, Rutgers University, 110 Frelinghuysen Road Piscataway, NJ 08854 USA4
Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India4
Electrical Engineering and Computer Science Department, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea4
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran4
People's Public Security University of China, School of Information technology and Network Security, Bejing, China4
Lab-STICC, Université de Bretagne Occidentale and Université de Bretagne Sud, France4
Dept. Computer Science, Montana State University, Bozeman, MT 59717, USA4
Computer Science, Colorado State University, Fort Collins, USA4
Department of Computer Science - University of Brasilia - Brazil4
National Key Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, 410073, China4
School of Mathematical Sciences, Dalian University of Technology, Dalian, China4
Zhejiang University, College of Computer Science, Hangzhou, P. R. China4
National University of Defense Technology (NUDT), Changsha, China4
Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany4
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND4
UC Merced, USA4
SIANI - Universidad de Las Palmas de Gran Canaria, Spain4
University of Alcalá, Alcalá de Henares, Spain4
Université de Nantes, France, Nantes, France4
Institute of Information Science, Beijing JiaoTong University, Beijing 100044, P.R. China4
Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan4
Guangzhou, China4
Department of Computer Graphics and Multimedia, University of Brno, Brno, Czech Republic4
Shenzhen Key Laboratory of Information Science and Technology, Shenzhen Engineering Laboratory of IS&DCP and the Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Beijing, China4
Nara Institute of Science and Technology4
Zhengzhou University, Zhengzhou 450000, P.R China4
Department of Electrical and Computer Engineering, University of Denver, Co, 80208, USA4
Department of Technology, Pompeu Fabra University, Barcelona, Spain4
University of Florence, Italy4
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China4
IP-based Communication Laboratory4
Department of Computers and Informatics, Košice, Slovakia4
School of Computing, The University of Southern Mississippi, Hattiesburg, MS, USA4
Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
Department of Computer Science and Engineering, Shanghai Jiao Tong University4
School of Software Engineering, Chongqing University, China4
Department of Mathematics, Intelligent Data Center, Sun Yat-sen University, Guangzhou, China4
University of Massachusetts, Lowell, MA4
School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand4
ECE, VIT University, VIT, Chennai, India4
State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Electronic Engineering, Tsinghua University, Beijing 100084, China4
School of Computer and information, Hefei University of Technology, Hefei, China4
Norwegian University of Science and Technology, Trondheim, Norway4
University of Liverpool, School of Electrical Engineering Electronics and Computer Science4
Computer Engineering Department, Universidad de Alcala de Henares, Madrid, Madrid, Spain4
Dept of Electronics and Communication, Manipal Institute Of Technology, Karnataka, India4
Shenzhen Academy of Robotics, Shenzhen, Guangdong, China4
Tel-Aviv University4
College of Information and Communication Engineering, Sungkyunkwan University, 300 Chunchundong Jangangu Suwon, Korea4
Object Video, Inc. 11600 Sunrise Valley Drive, Suite 290, Reston VA 20191, USA4
Department of Biophysics and Electronics Engineering (DIBE), University of Genoa, Italy4
Umm al Qura University, Makkah, Saudi Arabia4
National ICT Australia, Sydney, Australia4
INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France4
Department of Computing, Curtin University, Australia4
Northeastern University, Boston, USA4
Faculty of Information Technology, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia4
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 1100164
College of Computer Science, Zhejiang University, Hangzhou, China 3100274
Institute of Computing - University of Campinas - Campinas, Brazil4
Queen Mary, University of London, E1 4NS, UK4
The school of Electronics Engineering & Computer Science, Peking University, Beijing, China4
Green IT Service Research Team, Honam Research Center, Electronics and Telecommunications Research Institute, Gwangju, South Korea4
Pattern Recognition and Intelligent System Lab (PRIS) Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China4
Institute of Intelligence Information Processing, Xidian University, Xi¿an, China, 7100714
Computer Engineering Department, Galatasaray University, Istanbul, 4349, Turkey4
University of of Modena and Reggio Emilia4
Department of Mechano-Informatics. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan4
Nanjing University of Information Science and Technology, Nanjing, China4
School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology Guangxi Guilin, China4
Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea4
Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, 41125, Italy4
School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China4
RMIT University, Victoria 3083, Australia4
Department of Automation, Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology, Beijing, China4
Indiana University, Bloomington, IN4
School of Electric Information and Electronic Engineering, Shanghai Jiaotong University4
School of Engineering & Applied Science, Ahmedabad University, Gujarat, India 3800094
National Laboratory of Pattern Recognition, CASIA, Center for Research on Intelligent Perception and Computing, CASIA, Center for Excellence in Brain Science and Intelligence Technology, CAS, University of Chinese Academy of Sciences, Beijing, 100049, China4
Department of Electrical Engineering, Indian Institute of Technology, Patna, Bihar, India4
Visteon Corporation, Karlsruhe, Germany4
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China4
State Key Laboratory of Intelligent Technology and Systems, Department of Automation, Tsinghua University, Beijing 100080, China4
Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, 510006, Guangzhou, China4
Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea4
Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand4
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China4
Seoul Nat'l Univ.4
Inter-university Semiconductor Research Center, Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea4
Multimedia Department, Faculty of Computer Science & IT, University Putra Malaysia, Serdang, 43300, Malaysia4
AI Department, Ant Financial Services Group, Hangzhou, China4
National Institute of Informatics, Japan4
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China4
Dept. of Informatics, University of Hamburg, Germany4
Institute of Smart City Shanghai University, School of Communication and Information Engineering, Shanghai, China4
University Politehnica of Bucharest4
Le2i, FRE CNRS 2005, Arts et Métiers, Université Bourgogne Franche-Comté, France4
Seoul National University4
Information Science and Technology College, Dalian Maritime University, Dalian 116026, China4
Air Force Engineering University, Xi'an, China4
Department of Information Technology, UITRGPV, BHOPAL, India4
University of Illinois at Urbana-Champaign, Urbana, USA4
Key Laboratory of Machine Perception, Shenzhen Graduate School, Peking University, China4
School of Computer Science and Telecommunication Engineering, Jiangsu University, ZhenJiang, Jiangsu, 212013, P. R. China4
Institute for Human-Machine Communication, Technische Universität München, Germany4
college of Software Engineering, Tongji University4
State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China4
Graduate Institute of Electronics Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Rd., Taipei 106, Taiwan, R.O.C.4
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China4
School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, United Kingdom4
Jiangxi Normal University, Nanchang, China4
Department Moving Picture Technologies, Fraunhofer IIS, Erlangen, Germany4
Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain4
Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA4
CC Innovation in Intelligent Multimedia Sensor Networks, Lucerne University of Applied Sciences and Arts (HSLU), Lucerne, Switzerland4
School of Computer Science, Northwestern Polytechnical University, Xi’an, China4
School of Electronic and Information, South China University of Technology, Guangzhou 510660, China4
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, Türkiye4
Istituto Italiano di Tecnologia (IIT), Pattern Analysis and Computer Vision (PAVIS), Via Morego 30, 16136 Genova, Italy4
College of Information Engineering, North China University of Technology, Beijing, China4
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Korea4
Microsoft Research, Redmond, USA4
Dept. of Computer Science, The University of Hong Kong, Hong Kong4
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame4
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China, Wuhan, China4
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, 133-791, Korea4
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK4
University of Michigan, Ann Arbor, MI, USA4
Federal University of Rio de Janeiro - COPPE - Electrical Engineering Program, Rio de Janeiro, Brazil4
Robotics and Computer Vision Labortory, Dep. of EE, KAIST, Daejeon, 34141, Korea4
Department of Computer Science, Vision, Image Processing and Sound Laboratory, University of Verona, Verona, Italy4
Dirección General de la Guardia Civil - DGGC Madrid, Spain4
TAMS, Department of Informatics, University of Hamburg, Hamburg 22527, Germany4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China4
State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, 110016, China4
Computer Vision Centre Barcelona, Barcelona, Spain4
College of Command Information Systems, PLA University of Science & Technology, Nanjing, China4
NICTA, PO Box 6020, St Lucia, QLD 4067, Australia The University of Queensland, School of ITEE, QLD 4072, Australia4
Inha University, South Korea4
Institute for Technological Development and Innovation in Communications (IDeTIC), Signals and Communications Department, University of Las Palmas de Gran Canaria Las, Palmas de Gran Canaria, Spain4
Dept. of ECE & Digital Technology Center, University of Minnesota, USA4
Queensland University of Technology, Brisbane, QLD, Australia4
Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China4
College of Communication Engineering, Hangzhou Dianzi University, China4
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, No.95 East Road of Zhongguancun, Beijing, China4
College of Automation, Harbin Engineering University, Harbin, Heilongjiang Province, 150001, China4
Department of Computer Science, Washington University, Saint Louis, Missouri, 631304
Hewlett-Packard Laboratories, Hewlett-Packard Company, Palo Alto, CA, USA4
CSIR-Central Scientific Instruments Organisation, Chandigarh, 1600304
Dept. of Electrical and Electronic Engineering, Yonsei University, Biometrics Engineering Research Center, 134 Shinchon-Dong, Seodaemun-Gu, Seoul, Korea4
School of Computer Science and Engineering, Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China4
School of Computer Science, Wuhan University, Wuhan, China4
Facultad de Ingenieria, Universidad Panamericana, Aguascalientes, Mexico4
Scientific Research Institute of Multiprocessor Computer Systems, Southern Federal University, Taganrog, Russia4
Department of Computer Science University of Rochester, NY 14627, USA4
Mathematic and Application Laboratory, FSTT, Tangier, Morocco4
NTT Software Innovation Center, Tokyo, Japan4
Universiti Sains Malaysia, Penang, Malaysia4
School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, China4
M S Ramaiah University of Applied Sciences, Bangalore, India4
National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China4
Environment Perception Group, Daimler AG Group Research & Advanced Engineering, 71059 Sindelfingen, Germany4
Universitat Politècnica de València, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain4
École Polytechnique de Montréal, Montréal, QC, Canada4
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL4
University of Bologna4
National Electronic and Computer Technology Center, National Science and Technology Development Agency, Pathum Thani, Thailand, Tokyo Institute of Technology, Tokyo, Japan4
The University of Dayton, Dayton, OH 45469, USA4
School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China4
National Digital Switching System Engineering Technology Research Center, Zhengzhou City, 450000, China4
Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China4
Departments of Computer Science, Youngstown State University, Youngstown, OH 44555, USA4
Road Environment Recognition Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan4
Institute of Computer Science, Foundation for Research & Technology - Hellas, Heraklion, Crete, Greece4
Faculty of Engineering Science, Department of Systems Innovation, Arai Laboratory at Osaka University, Japan4
Making Sense of Data Group, National ICT Australia and School of Computer Science and Engineering, The University of New South Wales, Australia4
University of Houston, Houston, TX, USA4
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, No.96, JinZhai Road Baohe District, Hefei, Anhui, 230026, P.R. China4
Dept of Computer Engineering, Kyung Hee University, Yongin-si, South Korea4
Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan4
George Mason University, Fairfax, Virginia4
College of Electronic Science, National University of Defense Technology, Changsha, China4
University of Biskra, Biskra, Algeria4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China4
Department of Computer and Information Science, Temple University, Philadelphia, PA, USA4
School of Statistics, Capital University of Economics and Business, Beijing, China4
Department of Computer Science and Engineering, University of Notre Dame, IN 46556, USA4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, Tsinghua University Beijing 100084, China4
Department of Automatic Control Northwestern Polytechnical University Xi'an 710072, China4
CyLab Biometrics Center, Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA4
School of Electronics and Information, Northwestern Polytechnical University, Xi'an, Shaanxi, China4
Faculty of electrical engineering, University of Ljubljana, Slovenia4
College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan, P. R. China, 4100734
Department of Information Management and Security, Korea University4
JOL WAVE Telecom Italia, Catania, Italy4
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, China4
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China4
Department of Psychology, Università della Campania, “Luigi Vanvitelli”, and IIASS, Caserta, Italy4
Department of Electrical Engineering, IIT Madras, Chennai, India4
Faculty of Computer and Information Science, University of Ljubljana4
Dept. of Electron., Alcala Univ., Madrid, Spain4
Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan4
Face Aging Group, University of North Carolina, Wilmington, NC, USA4
University of Ljubljana4
Istanbul Technical University4
The Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania4
Digital Optics Corporation, Bucharest, Romania4
School of Computing, University of Southern Mississippi, Hattiesburg, 39406, USA4
Seoul National University, Seoul, Rebublic of Korea4
Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia4
School of Electronic and Information Engineering, Beihang University, Beijing Laboratory for General Aviation Technology, Beijing, 100191, P. R. China4
Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, P.R. China4
Université de CaenBasse-Normandie, UMR 6072 GREYC, F-14032 Caen, France4
Le2i EA, Université de Bourgogne Franche-Comté, Dijon, FRANCE4
Institute of Networked and Embedded Systems and Lakeside Labs, Alpen-Adria-Universität Lakeside Park B02b, 9020 Klagenfurt, Austria4
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 1001904
Biometric Standards, Performance and Assurance Laboratory, Purdue University, Department of Technology, Leadership and Innovation, West Lafayette, IN, USA4
University of Illinois at Urbana-Champaign, 61801, USA4
Institute of Systems and Robotics (ISR), University of Coimbra, Portugal4
School of Computer Science, Communication University of China, Beijing, 100024, China4
College of Computing, Georgia Institute of Technology, Atlanta, GA, USA4
Cognitive Systems Group, SFB/TR 8 Spatial Cognition, University of Bremen4
College of Electronics and Information Engineering, Sichuan University, Chengdu, China4
ChaLearn, California, USA4
School of ITEE, The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia4
School of Computer Science and Engineering, Center for Robotics, University of Electronic Science and Technology of China, Chengdu 611731, P.R. China4
Institute of VLSI Design, Zhejiang University, Hangzhou, China4
Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania4
EPFL, Lausanne4
Technische Universitat Muenchen, Garching bie Muenchen4
School of Electronic and Electrical Engineering, Shanghai Jiao Tong University, National Engineering Lab on Information Content Analysis Techniques, GT036001 Shanghai, China4
Centre for Imaging Sciences, The University of Manchester, Manchester, United Kingdom4
Institute of Imaging and Computer Vision, RWTH Aachen University, 52056 Aachen, Germany4
National Laboratory of Pattern Recognition, CASIA, University of Chinese Academy of Sciences, Beijing, 100049, China4
ISIR, CNRS UMR 7222, Universite Pierre et Marie Curie, Paris4
Media Recognition Laboratory, KDDI Research, Inc., Saitama, Japan4
Institute of Image Communication and Information Processing, Shanghai Key Labs of Digital Media Processing and Communication, Shanghai Jiao Tong University, Shanghai 200240, China4
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 60094
University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, ON, Canada, M5S 3G44
Key Laboratory of Work Safety Intelligent Monitoring, EE, BUPT, Beijing, P.R. China4
Institute of Mathematics and Statistics, University of São Paulo, Brazil4
Queen's University Belfast, Belfast4
Dept. of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra4
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98694, Germany4
Queensland University of Technology4
College of Computer Science and TechnologyZhejiang University4
SRI International, Menlo Park, USA4
School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China4
School of Computer Science and Engineering, South China University of Technology, China4
School of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea4
Department of Computer Sciences, COMSATS Institute of Information Technology, Wah Cantt-Pakistan4
CVLab, EPFL, Lausanne, Switzerland4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China 1008764
University College Dublin, Dublin, Ireland4
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University4
Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, 27695-7911, USA4
Politecnico di Torino, DAUIN, Italy4
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu, Beijing 100190, China4
School of Engineering, RMIT University, Melbourne, Australia4
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Vietnam4
Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon4
Grupo de Tratamiento de Imágenes, UPM, Madrid, Spain4
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China4
Department of Electronic Engineering and Computer Science, ASRI, Seoul National University, Korea4
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong4
ICT-ISVISION Joint R&D Lab. for Face Recognition, Beijing, China4
Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, 710049 P. R. China4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R.China4
School of Electrical Engineering and Automation, Anhui University, Hefei, China4
University of Otago, Dunedin, New Zealand4
AGT International, Darmstadt, Germany4
Department of Radio Electronics, SIX Research Center, Brno University of Technology (BUT), Czech Republic4
Department of Electrical Engineering, University of Science and Technology, Tehran, Iran4
Research Center for Information Technology Innovation, Academia Sinica, Taiwan4
Science and Technology on Parallel and Distributed Processing Laboratory, School of Computer Science, National University of Defense Technology, Changsha, Hunan, P. R. China, 4100734
Department of Electrical and Computer Engineering, Air University, Islamabad, Pakistan4
School of Electronic and Information Engineering, Beijing Jiaotong University, No.3 Shang Yuan Cun, Hai Dian District, China4
Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA4
Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, 115 Taiwan4
National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China4
Institute of Image Communication and Network Engineering, Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China, 2002404
Xidian University, Xi’an, China4
Department of Electrical Engineering, Jadavpur University, Kolkata, India4
Biometric Recognition Group - ATVS, Escuela Politecnica Superior - Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain4
Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, 90089, USA4
National Institute of Standards and Technology, Gaithersburg, MD4
Computer Vision Group, Friedrich Schiller University of Jena, Germany4
School of Electrical Engineering and Informatics, Institut Teknologi Bandung4
State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijng, China4
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA4
Department of Automation, State Key Lab of Intelligent Technologies and Systems, and Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China4
Beijing Institute of Technology, Beijing, China4
School of Information Science and Engineering, Central South University, Changsha, China4
Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 145804
Ubiquitous Interactive Systems Group, LMU Munich, Munich, Bavaria, Germany4
Department of Electrical and Computer Engineering, University of Auckland4
University of Maryland, College Park, Maryland 20740 United States4
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece4
Idiap Research Institute - CH-1920, Martigny, Switzerland4
Max Planck Institute for Biological Cybernetics4
College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, China4
National University of Defense Technology, Changsha, Hunan, China4
Science and Technology on Parallel and Distributed Processing Laboratory, School of Computer Science, National University of Defense Technology, Changsha, Hunan, China, 4100734
Department of Computer Science and Technology, Ocean University of China, China4
South China Normal University, guangzhou, China4
Dept. of Inf. Technol., Turku Univ., Finland4
Graz University of Technology4
University of Tunis, The National Higher school of engineers of Tunis (ENSIT), Laboratory of Signal Image and Energy Mastery, LR13ES03 (SIME), Tunis, Tunisia4
Department of Electronics Engineering, Kookmin University, Seoul, Korea4
Heilongjiang University, Harbin, China4
Department of Electrical and Computer Engineering, Clemson University, SC 29634, USA4
Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany4
School of Electrical Engineering, Tel-Aviv University, Israel4
Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney, Playa, Havana, Cuba4
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong 518055, China4
School of Computer Science and Technology, Soochow University, Suzhou 215006, Jiangsu, China4
Dalian University of Technology, Dalian, Liaoning, 116024, China4
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS4
University of Sydney, Australian Centre for Field Robotics (ACFR), NSW, Australia4
Dept. of Computer Engineering, Keimyung University, Daegu, Korea4
Department of Cognitive Science, Xiamen University, Xiamen, Fujian, China4
Shandong University, Jinan, China4
Department of Electronics Engineering, Visvesvaraya National Institute of Technology, Nagpur, India4
College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China4
Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia4
Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany4
Brown University4
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences4
EECS Department, University of Kansas, Lawrence, KS4
Department of Computer Science, University of Colorado at Colorado Springs4
Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China4
University of Malta, Msida, Malta4
The University of Western Australia, Crawley, WA, Australia4
Institute of Electrical Control Engineering, National Chiao Tung University 1001 University Road, Hsinchu, Taiwan4
The Institute of Electronics, Communications and Information Technology (ECIT), Queens University Belfast, UK4
Dept of Electrical and Computer Engineering, University of Calgary, Calgary, CANADA4
Multimedia Signal Processing Group - MMSPG, Institute of Electrical Engineering - IEL, Ecole Polytechnique Fédérale de Lausanne - EPFL, CH-1015, Switzerland4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy4
School of Automation, China University of Geosciences, Wuhan, 430074, China4
Image and Video Systems Laboratory, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea4
School of Electronics and Information Engineering, Tongji University, Shanghai, China4
USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI), School of Computer Science and Technology, University of Science and Technology of China, Hefei, China, 2300274
School of Mechatronic Engineering, UniMAP, Malaysia4
Department of Computer Science and Information Engineering, National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan4
Tsinghua University, Shenzhen, China4
LRTT, Unit Associe au CNRST (URAC 29), Faculty of Sciences, Mohammed V University-Agdal, Rabat, Morocco4
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea4
School of Engineering, RMIT University, Victoria 3083, Australia4
Department of Computer Science, Dartmouth College, Hanover, NH4
Department of Computer Science, The University of North Carolina at Chapel Hill, USA4
State University of New York at Binghamton, Binghamton, NY4
Beijing Normal Univeristy, Beijing, China4
University of Southampton, Southampton, United Kingdom4
Tencent AI Laboratory, Shenzhen, China4
Information Sciences Institute, University of Southern California, 4676 Admiralty Way, Marina Del Rey, 90292, USA4
College of Computer and Information, Hohai University, Nanjing, China4
Technische Universität Berlin, Germany4
Image Processing and Analysis Laboratory (LAPI), University “Politehnica” of Bucharest, Romania4
College of Computer Science and Electronic Engineering, Hunan University, Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha, China4
Shenzhen University, School of Computer Science and Software, Shenzhen, P.R. China4
School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China4
Department of Computer Engineering, Rochester Institute of Technology, NY, USA4
“Gheorghe Asachi” Technical University, Iaşi, Romania4
Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, China4
Institute of Automation, Chinese Academy of Sciences, National Lab of Pattern Recognition4
Mechanical & Nuclear Engineering Department, Pennsylvania State University, University Park, 16802, USA4
College of Information System & Management, National University of Defense Technology, Changsha, China4
School of Mathematics and Physics, Anhui Jianzhu University, Hefei, China4
Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, The University of Sydney, Darlington, NSW, Australia4
Beckman Institute, Uni. of Illinois at Urbana-Champaign, Urbana, 61801, USA4
Department of Information and Technology, University of Science and Technology of China, Hefei, China4
Dept. of Computer Science and Technology, State Key Lab. of Intelligent Technology and Systems, Tsinghua National Lab. for Information Science and Technology, Tsinghua University, Beijing, China4
College of Information Science and Technology Beijing Normal University, Beijing, China4
Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K.4
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Pulau Pinang, Malaysia4
State Key Lab. LIESMARS, Wuhan University, 430079, China4
University of São Paulo, São Carlos, Brazil4
Institute for Neural Computation, University of Bochum, Germany4
Intelligent and Distributed Computing Laboratory, the School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China4
The Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic4
Institute for Computer Research (University of Alicante).4
School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China4
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C.4
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, ...4
University of Minnesota, Minneapolis, MN4
Yunnan Normal University, College of Information Science, Kunming, China4
Center for Automation Research, University of Maryland Institute for Advanced Computer Studies, University of Maryland, College Park, MD, USA4
Department of Electronic Engineering, Graduate school at Shenzhen, Tsinghua University, China4
Florida Atlantic University, I-SENSE4
College of Computer Science and Electronic Engineering, Hunan University, Changsha, China4
Department of Electronic Engineering, the Chinese University of Hong KongHong Kong4
Department of Electronic and Electrical Engineering, Pohang University of Science and Technology (POSTECH), South Korea4
University of Washington, Seattle, WA, USA4
Harbin Institute of Technology Shenzhen Graduate School, China4
Saitama Institute of Technology, Kogakuin University, Japan4
Department of Computer Science, Stanford University4
LIARA Laboratory, University of Quebec at Chicoutimi (UQAC), Boulevard de l'Université, Chicoutimi (Quebec), Canada4
Shaanxi Provincial Key Laboratory of Speech & Image Information Processing (SAIIP), School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, P. R. China4
Virginia Tech4
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana4
Philips Research, Eindhoven, Netherlands4
Computer Vision Laboratory, Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, SI-1000, Slovenia4
Columbia University, New York, USA4
School of Computer Science & Technology, Nanjing University of Science and Technology, China4
Center for Research in Intelligent Systems, University of California Riverside, 92521, US4
Department of Electronic Measuring systems, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia4
School of Computer Science and Software Engineering, The University of Western Australia 35 Stirling Highway, Crawley 6009, Western Australia, Australia4
Multimedia University, Melaka, Malaysia4
Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia4
Korea University, School of Electrical Engineering, Seoul, Republic of Korea4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing, China4
Department of Clinical, Educational & Health Psychology, University College London, London, Unithed Kingdom4
ECE Dept. and Digital Tech. Center, Univ. of Minnesota, Mpls, MN, 55455, USA4
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China4
KULeuven, Leuven, Belgium4
Control Methods & Robotics Lab, TU Darmstadt, Germany4
National University of Defense Technology University, College of Intelligent Science, Changsha, China4
Department of Microelectronics and Computer Science, Lodz University of Technology, Lodz, Poland4
SPS-VCA, TU/e, 5600 MB Eindhoven, the Netherlands4
INRIA Grenoble Rhone-Alpes, FRANCE4
NPU-VUB Joint AVSP Research Lab, School of Computer Science, Northwestern Polytechnical, University (NPU) Shaanxi Key Lab on Speech and Image Information Processing 127 Youyi Xilu, Xi’an, 710072, China4
Department of Electrical Engineering, Indian Institute of Technology, Kanpur4
University of Oulu, Machine Vision Group, PO Box 4500, 90014, Finland4
School of Information Science & Engineering, Lanzhou University4
IMAGO Research Group - Universidade Federal do Paraná, P.O. Box 19092, 81531-980, Curitiba - PR, Brasil4
School of Electrical and Computer Engineering, University of Seoul, Seoul, Korea4
Laboratoire d'Informatique de Traitement de l'information et des Systemes(LITIS) Avenue de l'Universite-BP08, 76801, Saint-Etienne du Rouvray, France4
Computer Science & Software Engineering The University of Western Australia 35 Stirling Highway, Crawley, WA, Australia4
Department of Electrical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan City, Taiwan4
Vicarious Perception Technologies, Amsterdam, The Netherlands4
School of Automation, Huazhong Univ. of Sci. & Tech., Wuhan, China4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China4
IC Design Group, CSIR-Central Electronics Engineering Research Institute, Pilani, Rajasthan, India4
University of Washington4
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China4
University of Pennsylvania, 3330, Walnut Street, USA4
College of Computer and Information, Hohai University, China4
The University of Texas at Dallas, Richardson, TX, USA4
Department of Computer Science and Engineering, University of California, San Diego, USA4
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK4
Dept. of Computer Science, National Tsing Hua University, Hsinchu, Taiwan4
Dept of ECE, Bannari Amman Inst of Technology, Sathyamangalam, Erode, India4
Universiti Kuala Lumpur, Kuala Lumpur4
Departments of Computer Science, Electrical and Computer Engineering and Biomedical Engineering, University of Houston, USA4
Institute for Computer Graphics and Vision, TU Graz, Austria4
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China, 5106414
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand4
BIWI, ETH Zurich4
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA4
PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory, Department of Electrical Engineering, School of Engineering and Cancer-Lab, Tropical Diseases Research Centre (CIET), Universidad de Costa Rica, San José, Costa Rica4
School of Computer Science, South China Normal University4
Department of Computer Science and Engineering, University of Nevada, Reno, USA4
Yahoo Research, San Francisco, CA, USA4
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Malaysia4
Department of Communications Engineering, Feng Chia University, Taichung, Taiwan4
Department of Computer Science, Zhejiang University, Hangzhou, China4
Università degli Studi dell'Insubria, Varese, Italy4
University of Miami, Coral Gables, FL4
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey4
Univ. Orléans, INSA CVL, PRISME EA 4229, Bourges, France4
School of Electrical and Electronic Engineering and ST Engineering - NTU Corporate Lab, Nanyang Technological University Singapore4
School of Computer Science University of Hertfordshire United Kingdom4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Slovak Republic4
School of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA, Australia4
School of Information Engineering, Zhengzhou University, China4
DII, University of Brescia, Brescia, Italy4
Army Research Laboratory, Computational and Information Sciences Directorate4
German Research Center for Artificial Intelligence, Kaiserslautern, Germany4
Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China4
University of Chinese Academy of Sciences, School of Engineering Sciences4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, Peoples Republic of China4
Osaka University, Osaka, Japan4
Department of Information and Control, B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China4
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany4
Institution of Intelligent Systems, College of Computer Science, Zhejiang University of Technology, Hangzhou, China4
School of Computer Science and Engineering University of Electronic Science and Technology of China, Chengdu, Sichuan, China4
Graduate University, Chinese Academy of Sciences, Beijing, China4
Institute of Computing Techonology, Chinese Academy of Sciences, Beijing, China4
Sharp Laboratories of America, Camas, WA4
School of Mechatronic Engineering, UniMAP, Perlis, Malaysia4
Department of Electrical and Computer Engineering, Center for Automation Research, University of Maryland, College Park, USA4
Institute of Computer Science and Technology, Peking University, Beijing, China, 1008714
ISTI-CNR, Via G.Moruzzi, Italy4
College of Automation, Harbin Engineering University, 150001, China4
State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an, China4
State Key Laboratory of Robotics and System, Harbin Institute of Technology, China, 1500804
Department of Electronics and Communication, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram, India4
School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan4
National Chiao Tung University, Hsinchu, Taiwan4
Department of Geography Information Science, School of Geography Science4
School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia4
Instituto Universitario SIANI, Universidad de Las Palmas de Gran Canaria - Spain4
National Robotics Engineering Center, Carnegie Mellon University Robotics Institute, Pittsburgh, Pennsylvania 152014
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812, 19 Bratislava, Slovakia4
College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia4
Department of Informatics, University of Oslo, Oslo, Norway4
University of São Paulo, São Paulo, Brazil4
North Carolina State University, Department of Electrical and Computer Engineering, Raleigh, United States of America4
Peking University, Beijing, P.R. China, 1008714
Department of Computer Science, University of Verona, Italy4
The City College, City University of New York, New York, NY, USA4
Dept. of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea4
School of Data Science and Software Engineering, Qing Dao University, Qingdao, China4
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea4
Aalborg University, Denmark4
Université de Bourgogne, Le2i UMR 5158 CNRS, 12 rue de la fonderie, 71200 Le Creusot, France4
Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany4
Eindhoven University of Technology, Eindhoven, The Netherlands4
School of Communication & Information Engineering, Shanghai University, Shanghai, China4
Intel Labs, Hillsboro, Oregon, USA4
National Engineering Research Center for Multimedia Software, Computer School, Wuhan University, Wuhan, China4
Smart Surveillance Interest Group, Department of Computer Science, Universidade Federal de Minas Gerais, Minas Gerais, Brazil4
State University of New York at Binghamton, Binghamton, NY, USA4
CEA LIST, Gif-sur-Yvette, France4
University of California, Riverside, CA-92521, USA4
Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France4
School of Information Engineering, University of Science and Technology Beijing, Beijing, China4
Faculty of Electrical Engineering, University of Ljubljana, Slovenia4
Faculty of Computer and Information Science, University of Ljubljana, Slovenia4
The University of Texas at Austin Austin, Texas, USA4
Computer Vision and Remote Sensing (CVRS) Lab, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, P.R. China4
School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China4
University of Alberta, Edmonton, AB, Canada4
Department of Computer Science and Engineering, University of Notre Dame4
Research Center of Intelligent Transportation Systems, School of Engineering, Sun Yat-sen University, Guangzhou Guangdong 510006, China4
Institute of Control Engineering of Tool Machines and Manufacturing Units (ISW), University Stuttgart, 70174, Germany4
Department of Computer Science, George Mason University, Fairfax, USA4
Nankai University, Tianjin, China4
Chongqing Key Laboratory of Software Theory & Technology, College of Computer Science, Chongqing University, China4
Microsoft Research, Redmond4
School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK4
Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway4
University of Texas at Arlington, Arlington, TX4
Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China4
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, Shaanxi, China4
Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany4
Department of Computer Science, University of Northern British, Columbia Prince George, BC, Canada4
Faculty of Engineering, Ain Shams University, Computer and Systems Engineering Department, Cairo, Egypt4
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K.4
Faculty of Information Technology, Macau University of Science and Technology, Taipa, Macao4
Department of Electrical Engineering, National Cheng Kung University, Tainan City, Taiwan4
RBCS Department of the Fondazione Istituto Italiano di Tecnologia, Genoa, 16163, Italy4
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences4
Intelligent Systems Lab, Faculty of Engineering & Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada4
VisionLab - Computer Vision Laboratory4
Department of Informatics, Aristotle University of Thessaloniki, BOX 451, 54124, Greece4
Goa University, India4
Max Planck Institute for Informatics, Saarland Informatics Campus, Germany4
Multimedia University, Malaysia4
Faculty of Engieering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia4
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Brazil4
College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China4
West Virginia University, USA4
Electrical and Information Engineering, Hunan University, Changsha, China4
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China4
Mathematical Modelling Research Group, Universidad EAFIT, Colombia4
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K.4
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China4
University of Sassari, Computer Vision Laboratory, Porto Conte Ricerche, Tramariglio, Alghero, Italy4
University of Kaiserslautern, Kaiserslautern, Germany4
Bilgisayar Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye4
University of Kentucky, USA4
Department of Computer Science, University of British Columbia, Vancouver, Canada4
CVSSP, FEPS, University of Surrey, Guildford, GU2 7XH, United Kingdom4
School of Software Engineering, Chongqing University, Chongqing, China4
Interactive Media Lab, Keio University, Japan4
Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan4
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan4
Academia Sinica, Institute of Information Science, Taipei, Taiwan4
Image and Video Systems Lab, School of Electrical Engineering, KAIST, South Korea4
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China4
Informatics Institute, University of Amsterdam, Amsterdam, WX, The Netherlands4
Digital Imaging Research Centre, Kingston University, U.K.4
Center for Automation Research, University of Maryland, College Park, MD, USA4
MBRDNA, Sunnyvale, USA4
Faculty of Engineering, Shinshu University, Japan4
Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania4
Computer Science and Engineering, Pennsylvania State University, PA, USA SiliconScapes, LLC, PA, USA4
Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China4
Department of Engineering and Technology, Kimmel School, Western Carolina University, Cullowhee, NC 28723 U.S.A.4
Institute for Infocomm Research, A*STAR, Singapore4
Comnuter Science Department, Hong Kong Baptist University4
CEA, LIST, Vision & Content Engineering Laboratory, Gif-sur-Yvettes, France4
Courant Institute of Mathematical Sciences, New York University, USA4
Department of Electrical Engineering, Rochester Institute of Technology, Rochester, NY4
Department of Electrical Engineering, Indian Institute of Science, Bangalore, India4
Lab of Communication and Information Security, Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, China4
INRIA, Sophia Antipolis, France4
Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049 Madrid, Spain4
University of British Columbia, Vancouver, Canada4
School of Electrical Engineering, Korea University, Seoul, Korea4
Perception and Intelligence Lab, Department of Electrical and Computer Engineering, ASRI, Seoul National University, South Korea4
Faculty of Computer Science, University of Freiburg, Freiburg, Germany4
Institute of Electrical Control Engineering, National Chiao Tung University, 1001 University Road, Hsinchu, Taiwan4
Duke University, Durham, NC, USA4
National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand4
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China4
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R. China, 1000444
Stanford University in the Computer Science department4
Department of Electronics, University of Alcalá, Alcalá de Henares, SPAIN4
Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China4
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, UK4
Open Lab, School of Computing, University of Newcastle, Newcastle upon Tyne, U.K.4
School of Electronics Engineering and Computer Science, Peking University, Beijing, China4
Dept. of Cognitive Science, Xiamen University, Fujian, China, 3610054
School of EEE, Nanyang Technological University, Singapore4
College of Mechatronic Engineering and Automation, National University of Defense Technology4
Media Integration and Communication Center - University of Florence, Italy4
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Sydney, NSW, Australia4
Department of Computer Engineering, Maharashtra Institute of Technology, Pune, India4
Dept. name of organization Electronics and Telecommunications Research Institute Daejeon, South Korea4
State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, China4
Auckland University of Technology, Auckland 1010 New Zealand4
School of Computer, National University of Defense Technology Changsha, China, 4100734
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea4
Information System Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt4
Graduate School of Informatics, Kyoto University Yoshida-Honmachi, Sakyo Ward, Kyoto 606-8501, Japan4
Department of Computer and Information Science, University of Macau, Taipa, Macau4
School of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, China4
School of Electronic Engineering, Xidian University, Xian, China4
Department of Environment Perception, Daimler AG, Böblingen, Germany4
Department of Engineering, University of Perugia, Italy4
Department of Transportation Engineering, Beijing Institute of Technology, 100081, China4
Korea University4
School of EECS, Queen Mary University of London, UK4
VISILAB Group, E. T. S. I. Industriales, University of Castilla–La Mancha, Ciudad Real, Spain4
School of Computer Science and Technology, Zhejiang University, China4
Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology, Beijing 100081, P. R. China4
Institute for Human-Machine Communication, Technische Univeritat Munchen, Arcisstr. 3, 80333, Germany4
Faculty of Computer Science, Universitas Indonesia, Indonesia4
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Japan4
Nanjing University of Science and Technology, Nanjing, China4
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China4
Bogazici University, Turkey4
Universidad de Vigo, Vigo4
Institute of Digital Media, School of Electronic Engineering and Computer Science, Peking University, Beijing, China4
Department of Electronics, Escuela Politécnica Superior, University of Alcala, Alcalá de Henares, Madrid, Spain4
Griffith University4
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA4
School of Electronic and Computer Engineering, Peking University4
Mechanical Engineering Department, Massachusetts Institute of Technology, Cambridge, MA, USA4
Computer Science and Engineering Department, Amity University Uttar Pradesh, Noida, India4
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, P.R. China4
Zenith Team, INRIA, LIRMM, Montpellier, France4
Department of Computer and Information Science, University of Massachusetts Dartmouth, Dartmouth, MA, USA4
Graduate Course in Computer Science, Pontifical Catholic University of Rio Grande do Sul, Brazil4
Samsung R&D Institute, Bangalore, India4
Yaroslavl State University, Yaroslavl, Russia4
Aristotle University of Thessaloniki, Thessaloniki, Greece4
Department of Computer Science, The University of Hong Kong, Pokfulam Road, Hong Kong4
Computer Vision & Image Processing Laboratory (CVIP), Univ. of Louisville, KY, 40292, USA4
Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China4
Sapienza University of Rome, Rome, Italy4
Open University of Catalonia, Barcelona, Spain4
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing city, Jiangsu, China4
Computer Science and Engineering Department, University of South Florida, Tampa, FL, USA4
NICTA and Australian National University4
Dept. of Automation, Tsinghua University, 100084, Beijing, China4
La Trobe University, Australia4
Beijing Key Laboratory of Intelligence Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876, China4
Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany4
Department of Computer Science, The University of Texas at San Antonio, San Antonio, TX, USA4
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China4
Center for Reasearch on Intelligent Perception and Computing, CASIA, China4
Hewlett Packard Labs4
University of Utah4
School of Computer Science, China University of Geosciences, Wuhan, China4
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China4
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences4
Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India4
State Key Laboratory for Software Engineering, Wuhan University, Wuhan, 430079, China4
Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India4
Advanced Digital Sciences Center, Singapore, Singapore4
Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA4
Johns Hopkins University, Baltimore, USA4
Department of Computer Vision and Image Understanding, Institute for Infocomm Research, 1 Fusionpolis Way, #21-01 Connexis, Singapore 1386324
Center for Machine Vision and Signal Analysis (CMVS), Oulu, Finland4
University of Trento4
National ICT Australia and UNSW, Sydney, Australia4
Institute for Creative Technologies, University of Southern California4
College of Electrical and Information Engineering, Hunan University, Changsha, China4
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China4
School of Information and Communication Engineering, Dalian University of Technology, Dalian, Liaoning, 116024, China4
Machine Intelligence and Robotics Research Group, School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, 6681, Porto Alegre, RS, 90619-900, Brazil4
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, korea4
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China4
Department of Computer Science and Technology, Tsinghua Lab of Brain and Intelligence Beijing National Research Center for Information Science and Technology, BNRist Lab Tsinghua University, 100084, China4
School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, U.K.4
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China4
Information Technologies Institute - Centre for Research & Technology Hellas, Thessaloniki, Greece4
Université Européenne de Bretagne, France, INSA de Rennes, IETR, UMR 6164, F-357084
Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA4
Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan4
School of Electrical and Electronics Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, SEOUL, Republic of Korea4
Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Automation Huazhong University of Science and Technology, Wuhan, 430074, China4
Institute of Information Technology, University of Dhaka, Bangladesh4
School of Information Science and Engineering, Southeast University, Nanjing, 210096, P.R. China4
RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil4
School of Information and Engineering, Minzu University of China, Beijing 100081, China4
School of Automation, China University of Geosciences, Wuhan, 430074, P. R. China4
Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France4
Institute for Infocomm Research, Singapore, Singapore4
Indian Institute of Information Technology Chittoor, Sri City, A.P., India4
Communication Networks Institute (CNI) Dortmund University of Technology, Germany4
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China4
School of Artificial Intelligence, Xidian University, Xi'an, 710071, China4
Department of Computer Science, City University of Hong Kong, Hong Kong, China4
Carnegie Mellon University, The Robotics Institute, 5000 Forbes Avenue, Pittsburgh, PA, USA4
School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India4
SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, France4
College of Electronics & Information Engineering, Tongji University, Shanghai, 201804, China4
Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Karachi, Pakistan4
Massachusetts Institute of Technology, Cambridge, MA4
College of Automation, Harbin Engineering University, Harbin, 150001, China4
University of Southampton, UK4
Southeast University, Nanjing, China4
Department of Electrical and Computer Engineering, George Mason University4
School of Electrical Engineering, KAIST, Daejeon, South Korea4
Department of Computer Science, University of Liverpool, L69 3BX Liverpool, United Kingdom4
Sabancı Üniversitesi, Turkey4
Dept. Engineering Science, University of Oxford, Oxford Robotics Institute, UK4
University of Oxford, UK4
University of Colorado Boulder, Boulder, CO, USA4
Division Architecture des Systmes et Multimedia, Centre de Developpement des Technologies Avancees, CDTA, Algeria4
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China4
Department of Computer Science, University of York, York, UK4
Intelligent Sensing and Communications Research Group, Newcastle University, UK4
Media Integration and Communication Center - University of Florence4
College of Information Science and Engineering, Northeastern University, Shenyang, China4
Hampshire, United Kingdom4
Computer Vision Lab, UMIACS, University of Maryland, College Park, College Park, 20740, USA4
School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, Scotland UK4
Austrian Institute of Technology, Donau-City-Straße 1, Vienna, Austria4
University of South Florida, Department of Computer Science and Engineering, Tampa, FL, USA4
Technical University of Cluj-Napoca4
School of Electrical Engineering and Computer Science, Queen Mary University of London, London, U.K.4
Department of Computer Science, Mangalore University, India4
IMAGO Research Group, Universidade Federal do Paraná, Curitiba-PR, Brazil4
Leiden University, Leiden, Netherlands4
TNO, The Hague, Netherlands4
College of Communications Engineering, PLA University, of Science and Technology, Nanjing, China4
Department of Computer Science, Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal4
HMI Lab, VNU Hanoi University of Engineering and Technology, Hanoi, Vietnam4
Delft University of Technology4
Computer Science Department, Reutlingen University, Cognitive Systems Group, Germany4
Department of Information Engineering, University of Brescia, Via Branze, 38 - 25123, Italy4
School of Software, Beijing Institute of Technology, Beijing, China4
Distributed and Collaborative Virtual Environments Research Laboratory, University of Ottawa, Ottawa, ON, Canada4
Visual Computing Group, Microsoft Research Asia, Beijing, China4
School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University4
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China3
Guangdong Key Laboratory of Data Security and Privacy Preserving, Guangdong Engineering Research Center of Data Security and Privacy Preserving, College of Information Science and Technology, Jinan University, Guangzhou, China3
Institute of Computing, State University of Campinas, Campinas, Brazil3
Audio-Visual Information Processing Laboratory (VIPLAB), Graduate Program in Informatics - Computer Science Department, Pontifical Catholic University of Minas Gerais (PUC Minas)3
University of Maryland College Park, MD, 207403
Electronics Department, University of Alcalá (UAH), Alcalá de Henares, Spain3
Department of computer and communications engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia3
Innovation Lab, Tata Consultancy Services, New Delhi, India 2013013
German–Turkish Advanced Research Centre for Information and Communication Technology, Berlin, Germany3
Jiangsu Province Key Laboratory on Image Processing and Image Communications, Nanjing University of Posts and Telecommunications, Nanjing, China3
KTH Royal Institute of Technology, 100 44 Stockholm, Sweden3
Department of Computer Science and Information Engineering, School of Electrical and Computer Engineering, College of Engineering, Chang Gung University, Tao-Yuan, Taiwan3
Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR 7222, F-75005, Paris, France3
Intel Corporation, Hillsboro, OR, USA3
CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France3
School of Computer Science and Software Engineering, The University of Western Australia, Australia3
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China, Shanghai Key Laboratory of Digital Media Processing and Transmissions, Shanghai, China3
Face Aging Group, UNCW3
Universidade Nova Lisboa, Monte de Caparica, Portugal3
Department of Computer and Information Sciences, University of Delaware, Newark, DE 19716, USA3
Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, 100191, Beijing, China3
Pattern Recognition and Intelligent Systems Laboratory, Beijing University of Posts and Telecommunications, Beijing, China3
Politecnico di Torino, DAUIN, Torino, Italy3
The State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, Heilongjiang Province, China3
Technische Universität München, Germany3
Department of Mathematics and Informatics, University of Florence, Florence, Italy3
Signals and Images Laboratory, University of USTOMB, Oran, Algeria3
Institute of Automation, Chinese Academy of Science, 95 Zhongguancun East Road, 100190 Beijing, China3
ModiFace Inc., Toronto, Canada3
Department of Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Intel Corporation, Bangalore, India3
Intel Corporation, Nice, France3
School of Computer and Control Engineering, University of Chinese Academy of Sciences (UCAS), Beijing, China3
MIT, USA3
Valeo.3
Computer Science, Loughborough University, United Kingdom3
Departamento de Ingeniería Informática, University of La Laguna, Santa Cruz de Tenerife, Spain3
Department of Informatics, Technische Universität München, München, Germany3
Universidade Nova Lisboa, Lisboa, Portugal3
Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India3
Department of Electrical and Computer EngineeringCyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA3
National University of Defense Technology3
State Key Laboratory on Intelligent Technology and Systems, TNList, Department of Automation, Tsinghua University, Beijing, China, 1000843
Artificial Vision Laboratory, National Taiwan University of Science and Technology3
Graduate School of Electrical Engineering, University of Ulsan, Korea 680-7493
New York University Abu Dhabi & NYU Tandon School of Engineering, Abu Dhabi, Uae3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), Beijing, China3
ECE Department, Learning and Vision Laboratory, National University of Singapore, Singapore3
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ 08540, USA3
Intelligent Vision Research Lab, Department of Computer Science, Federal University of Bahia3
Multimedia Lab, The Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Canada3
Università di Firenze - Italy3
Vision for Robotics Lab, ETH Zurich, Switzerland3
IAIR, Xi'an Jiaotong University, China3
Department of Media Technology, Linnaeus University, Vaxjo, Sweden3
Department of Electrical Engineering Mathematics and Computer Science, University of Twente, The Netherlands3
E-Comm Research Lab, Infosys Limited, Bangalore, India3
Robotics Research Center, International Institute of Information Technology, Hyderabad, India3
School of Electronic Engineering, Xidian University, Xian, Shaanxi, 710071, China3
Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam3
PARADISE Research laboratory, DIVA Strategic Research Network, University of Ottawa, Ottawa, Ontario, Canada3
PLA University of Science and Technology Nan Jing, China3
Singapore University of Technology and Design, Singapore3
Rutgers, The State University of New Jersey, Piscataway, NJ, 088543
Microsoft Research Cambridge3
DISCo, Universita degli Studi di Milano Bicocca, Milano, Italy3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, 44227 Dortmund, Germany3
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences3
Computer Science Department, Sanghvi Inst. of Mgmt. & Science, Indore, India3
Honda Research Institute Europe, Offenbach, Germany3
School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510006, China3
National Institutes of Health, Bethesda, Maryland 208923
College of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410082, China3
Data Mining and Text Mining Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu, India3
Electronics and Communication Department, National Institute of Technology, Rourkela, Odisha, 769008, India3
University of California, Riverside3
Department of Computer Science, Computational Biomedicine Laboratory, University of Houston, Houston, TX, USA3
Yunnan University, School of Software, Kunming, China3
Visual Media Computing Lab, Department of Multimedia and Graphic Arts, Cyprus University of Technology, Limassol, Cyprus3
AEOP UNITE, Las Vegas, Nevada3
University of Nevada-Las Vegas, Las Vegas, Nevada3
Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000 Ljubljana, Slovenia3
Department of Information and Computer Science - University of Trento via Sommarive 5, 38123 Trento - Italy3
The Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette, LA, USA3
The State Key Laboratory of ISN, School of Electronic Engineering, Xidian University, Xi'an China3
FZI Research Center for Information Technology, Mobile Perception Systems, Karlsruhe, 76131, Germany3
Hangzhou Dianzi University, School of Communication Engineering, Hangzhou, China3
Department of Computing, Curtin University, Perth WA, Australia3
SUNY Buffalo3
School of Engineering Technology, Purdue University, West Lafayette, IN, 47907, USA3
Harbin Institute of Technology, Harbin, P. R., 150001, China3
Department of Computer Science and Engineering, Michigan State University, East Lansing 48824, USA3
Department of Electronic Engineering, University of Electronic Science and Technology of China, 611731, Chengdu, Sichuan Province, China3
Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati, India-7810393
College of Automation, Nanjing University of Posts and Telecommunications, 210023, China3
State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
CNRS, LAAS, 7 av du colonel Roche, F-31400 Toulouse, France3
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil3
Electrical Engineering Department, Faculty of Engineering - Port-Said, Suez Canal University, Port Fouad 42523, Egypt3
Wuhan Univeristy, Wuhan, China3
School of Software, Huazhong University of Science and Technology, Wuhan, China3
School of Computer Engineering, Nanyang Technologicial University, Singapore3
IPLAB, Department of Mathematics and Computer Science, University of Catania, Italy3
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, P. R. China3
Laboratory of Computer Systems and Vision, Faculty of Science, Ibn Zohr University, Agadir-80000, Morocco3
National Laboratory of Pattern Recognition, Institute of Automation, Beijing, Chinese Academy of Sciences, China3
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China3
INRIA Sophia Antipolis - Méditerranée. 2004 Route des Lucioles - BP93, Sohpia Antipolis, 06902, France3
Electronic and Electrical Engineering Department, University College London, London, U.K.3
Life Sciences Division, Lawrence Berkeley National Laboratory, California, U.S.A.3
Department of Mechatronics Engineering and Automation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong Province, China3
School of computer Science & Engineering, South China University of Technology, Guang Zhou, China3
Research unit on Intelligent Control, design and Optimization of complex Systems (ICOS), University of Sfax, Sfax Engineering School3
Department of Civil and Environmental Engineering, KAIST, Daejeon, South Korea3
Visualization and Computer Vision Laboratory, General Electric Global Research Center, 1 Research Circle, Niskayuna, NY, 123093
Department of Computer Science, Georgia State University, P.O. Box 5060, Atlanta GA 30302-5060, USA3
Faculty of Mechanical, Maritime and Material Engineering BioRobotics Lab, Delft University of Technology, 2628 CD, The Netherlands3
The University of Newcastle, NSW, Australia3
Department of Industrial Systems Engineering and Management, Sembcorp-NUS Corporate Laboratory, Faculty of Engineering, National University of Singapore, Singapore3
EEIS Department, University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System3
PARADISE Research Lab, University of Ottawa, Canada3
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Tshwane, South Africa3
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA3
School of Computer and Information technology, Beijing Jiaotong University, China3
University of Central Lancashire, Preston, U.K.3
iCV Research Group, Institute of Technology, University of Tartu, Estonia3
ComS2IP Group, School of Electrical and Electronic Engineering, University of Newcastle upon Tyne, NE1 7RU, UK3
State Key Laboratory Integrated Services Networks, Xidian University, Xi’an, China3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast3
Department of Computer Science, The University of York, UK, YO10 5DD3
UCL Interaction Centre University, College London London, United Kingdom3
Mepco Schlenk Engineering College, Sivakasi, Virudhunagar, India3
Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA3
Department of Systems and Computing, Federal University of Campina Grande, Av. Apríigio Veloso, 882, 58429-900 Campina Grande, PB, Brazil3
Université de Lyon, CNRS, Université Lumière Lyon 2, LIRIS, UMR5205, France3
Department of Computing, Curtin University, Perth WA 6102, Australia3
Visual Geometry and Modelling (VGM) Lab, Istituto Italiano di Tecnologia, Genova, Italy3
Graduate School of Information, Production and systems, Waseda University, Fukuoka, Japan3
School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China3
Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon, Korea3
Department of Engineering Science, Active Vision Laboratory, University of Oxford, U.K.3
Computer Vision Lab., INHA University, Incheon, Korea3
National Laboratory of Pattern Recognition, Institute of Automation, Academy of Sciences, Beijing, China3
Department of Computing, Faculty of sciences, Ibn Tofail University, Kenitra, Morocco3
Electrical Engineering Department, Indian Institute of Technology, Patna, Bihta 8011033
Department of Automation, Xiamen University, Fujian Province, China, 3610053
Dept. of Electronic and Computer Engineering, National Taiwan University, Taipei, Taiwan3
Dept. Electrical Engineering and Computer Science, Niederrhein University of Applied Sciences, Krefeld, Germany3
Institute of Software, Chinese Academy of Sciences, Beijing, China3
Department of System Cybernetics, Robotics Laboratory, Hiroshima University, Hiroshima, Japan3
National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Automation, Huazhong University of Science and Technology, China3
Laboratory for Intelligent and Safe Automobiles (LISA), University of California, San Diego, USA3
Department of Automation, Transilvania University of Brasov, Romania 5000243
Institute of Big Data Technologies, Shenzhen Graduate School, Peking University, P. R. China3
LI3C Laboratory, Department of Electrical Engineering, University of Biskra, BP 145 RP, 07000 Biskra., Algeria3
Algılayıcılar, Görüntü ve Sinyal İşleme Grubu, HAVELSAN A.Ş. Ankara, Türkiye3
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 6th Km Charilaou-Thermi Rd, Thessaloniki, Greece 570013
Informatics Institute University of Amsterdam, Amsterdam3
Key Laboratory of Modern Teaching Technology, Ministry of Education, Xian, China3
CogInfoCom Based LearnAbility Research Group, University of Dunaujvaros, Dunaujvaros, Hungary3
Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea3
College of Information Science & Electronic Engineering, Zhejiang University, China3
College of Information and Control Engineering, China University of Petroleum(East China), Qingdao, China3
Education and Cultural Studies (COSPECS) University of Messina, Dept. for Cognitive Sciences Psychology, Messina, Italy3
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, P.R. China3
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu 610065, P. R. China3
Institute for Infocomm Research, 1 Fusionpolis Way, #21-01, Connexis Singapore 138632, Singapore3
Institute of Information Science, Beijing jiaotong University, Beijing, China3
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China3
Perception and Activity Understanding Group, Idiap Research Institute, Martigny, Switzerland3
Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India3
Computer Vision Laboratory - ETH Zurich3
School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Buk-Gu, Taegu 702-701, Republic of Korea3
DISI, University of Trento, Italy3
Dept. of Mediamatics, Delft Univ. of Technol., Netherlands3
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy3
1-1 Showa-cho, DENSO CORPORATION, Kariya, Aichi, 448-8661, Japan3
School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, New Zealand3
Department of Computer Science, Rutgers University, New Brunswick, NJ, USA3
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China3
Department of Computer Science, Xi'an Polytechnic University, China3
Bosch Corporate Research, Stuttgart, Germany3
Indian Institute of Technology Kharagpur, Kharagpur, India - 7213023
Department of Information Management, National Kaohsiung University of Science and Technology, Taiwan3
EPFL3
School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Shaanxi Province, China3
School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University , Melbourne, Australia3
Social Robotics Lab, Department of Computer Science, University of Freiburg, Germany3
Dept. of Audio Visual Technology, Technische Universitt, Ilmenau, Germany3
Visual Analysis of People, Aalborg University, Aalborg, Denmark3
School of Communication and Information Engineering, Shanghai University3
Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China3
Department of Mathematics, School of Science, Shanghai University, Shanghai, China3
Faculty of Computer Science and Engineering, HCMC University of Technology, Ho Chi Minn, Vietnam3
Department of Computer Science and Engineering, Via Sacchi, 3 - 47521 Cesena (FC) - Italy3
LRIT-CNRST URAC 29, Mohammed V University In Rabat Faculty of Sciences Rabat, Morocco. B.P. 1014 Rabat, Morocco3
Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan3
Department of Computer Science, Zhejiang Normal University, China3
Department of Computer Science, Tomsk Polytechnic University (TPU), Tomsk, Russia3
Insitute of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany3
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 6397983
College of Computer Science, Inner Mongolia University, Hohhot, China3
Department of Electronic Engineering, School of Engineering, Sogang University, Seoul 04107, Korea3
University of Miami, Department of Electrical and Computer Engineering3
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China3
Indian Institute of Technology, Kharagpur3
Computer Engineering Department, Sharif University of Technology, Tehran, Iran, 14588896943
Department of automation, USTC, Hefei, China3
EElS Department, University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, 230026, China3
Department of Computer and Information Sciences, University of Delaware, Newark, USA3
RITS Project-Team, INRIA Paris, Paris, France3
Xiamen University3
Cognitive Science department of Xiamen University, China3
CERTH-ITI, Thermi-Thessaloniki, Greece3
NTT Media Intelligence Laboratories, Tokyo, Japan3
Korea Advanced Institute of Science and Technology, School of Electrical Engineering3
Lab of Algorithm for Cognitive Model, School of Computer Science, Fudan University, Shanghai 200433, China3
Dept. of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan3
Institute of Information Engineering, CAS, State Key Laboratory of Information Security, Beijing, China3
Beijing National Research Center for Information Science and Technology (BNRist) Department of Electronic Engineering, Tsinghua University, Beijing, 100084, CHINA3
Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University3
Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University, Australia3
Georgia Institute of Technology, Atlanta, 30332-0250, USA3
AIT Austrian Institute of Technology, Vienna, Austria3
Advanced System Technology, STMicroelectronics, Agrate Brianza, Italy3
Morpho, Safran Group3
Siegwart are with the Autonomous Systems Lab, ETH Zürich, Zürich, Switzerland3
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, Brazil3
INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal3
Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria3
ADSPLAB/lntelligent Lab, School of ECE, Peking University, Shenzhen, 518055, China3
College of Mechatronics and Automation, National University of Defense Technology, Changsha, China, 4100733
School of Mechanical Engineeringand and Automation, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China3
Rice University3
Department of Research & Development, Extol MSC Berhad, Kuala Lumpur, Malaysia3
Intel China Research Center, Beijing, P. R. China3
Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran3
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
School of Information and Communications, Gwangju Institute of Science and Technology, 61005, South Korea3
Computational Vision Group, Department of Computer Science, University of Reading, UK3
School of Automation, Beijing Institute of Technology, Beijing, 100081, China3
Vision and Content Engineering Laboratory, CEA LIST, Gif-sur-Yvette, France3
Jawaharlal Nehru University, New Delhi - India3
Biometrics Engineering Research Center, Department of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea3
Information Security Research Division, Electronics and Telecommunications Research Institute, Daejeon, Korea3
University of Delaware, Newark, 19716, USA3
Stony Brook University, Stony Brook, NY 11794, USA3
School of Electrical Engineering and Computer Science, ASRI Seoul National University, Seoul, Korea3
INRIA Grenoble Rhone-Alpes, Grenoble, France3
Department of Computer Science, The University of York, Heslington, UK3
Department of CSE, Amity University, Uttar Pradesh, Sector 125, Noida, India3
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
University of Southern California, Institute of Robotics and Intelligent Systems, USA3
Image and Video Research Lab, Queensland University of Technology, 2 George Street, GPO Box 2434, Brisbane, QLD 4001, Australia3
School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China3
Ecole Centrale de Lyon, LIRIS, Lyon, France3
University of Pennsylvania, Philadelphia, PA 19104, USA3
Centro Universitario de la Defensa (CUD) and Instituto de Investigación en Ingeniería de Aragón (I3A), Zaragoza, Spain3
Kyushu University, Japan3
Computer Vision Laboratory, School of Information and Communications, GIST, Republic of Korea3
School of Computer Science & Software Engineering, Shenzhen University, China3
The Green Building Materials and Manufacturing, Engineering Research Center of Ministry of Education, Wuhan University of Technology, 430070, China3
South China University of Technology, China3
Shanghai Key Laboratory of Multimedia Processing and Transmissions, Shanghai Jiao Tong University, China3
Department of Electrical and Computer Engineering The University of Texas at Austin3
Shenzhen Key Laboratory of Broadband Network and Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China3
School of Electrical Engineering VIT University Vellore, India 6320143
School of Electronic Engineering, University of Electronic Science and Technology of China, ChengDu, SiChuan, China3
Biometric Recognition Group - ATVS, EPS, Universidad Autonoma de Madrid, Spain3
United Technologies Research Center (UTRC), East Hartford, Connecticut, USA. now at Southern Illinois University, Carbondale, Illinois, USA3
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China3
School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070 China3
Aragon Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain3
Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Sydney, NSW, Australia3
Université de Lyon, Laboratoire d’InfoRmatique en Image et Systèmes d’information, Centre National de Recherche Scientifique 5205, Ecole Centrale de Lyon, France3
Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland3
Inha University, Incheon, South Korea3
HIT Campus of University Town of Shenzhen, Shenzhen, China PC: 5180553
Department of Computer Science and Engineering, Government College of Engineering Aurangabad, Aurangabad, India3
School of Computer Science, Center for Optical Imagery Analysis and Learning (OPTIMAL)3
Department of Computer Engineering, Boğaziçi University, Bebek, ıstanbul, Turkey3
Vidyalankar Institute of Technology, Mumbai3
German Research Center for Artificial Intelligence, DFKI Bremen, Robotics Innovation Center, Robert-Hooke-Strae 1, D-28359, Germany3
Australian Centre for Field Robotics University of Sydney, 2006, Australia3
School of Computer Engineering, Nanyang Technological University3
Department of Computer ScienceFace Aging Group Research Laboratory, Institute for Interdisciplinary Studies in Identity Sciences, University of North Carolina at Wilmington, Wilmington, NC, USA3
Department of Mathematics, Duke University, U.S.A.3
University of Augsburg, Augsburg, Germany3
Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China3
MOE Key Lab for Intelligent Networks and Network Security, School of Electonics and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China3
Dept. of Automation Science and Engineering, South China University of Technology, Guangzhou, China3
Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal, India3
School of Communication and Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, PR China3
Biometric Recognition Group—ATVS, Universidad Autonoma de Madrid, Madrid, Spain3
Technical University of Iaşi, Faculty of Electrical Engineering3
Information Center of the General Administration of Quality Supervision Inspection and Quarantine of the People's Republic of China, Beijing, China3
IBM Research India3
Department of Computer Science and Engineering, DIU Human Computer Interaction Research Lab (HCI RL), Daffodil International University3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China3
Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China3
Department of Computer Science and Engineering, Visual Learning and Intelligence Group, IIT Hyderabad, Hyderabad, India3
Department of Communications and Computer Engineering, University of Malta, Msida, Malta3
University of Oulu, Finland, Oulu, Finland3
Hardware and Embedded Systems Lab, Nanyang Technological University, Singapore3
Center for Automation Research, UMIACS University of Maryland, College Park, MD 207423
Department of Computer Science and Engineering, University of Bologna, Cesena, Italy3
Key Laboratory of Machine Perception Shenzhen Graduate School, Peking University, China3
Universität Passau, Passau, Germany3
Institute for Human-Machine Communication Technische Universitat Munchen, Germany3
Centre for Quantum Computation & Information Systems, Faculty of Engineering and IT, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW, Australia3
Samsung Research Center-Beijing, SAIT China Lab Beijing, China3
Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau3
College of Automation, Harbin Engineering University, Heilongjiang Province, 150001, China3
Dept. School of Information Science and Engineering, East China University of Science and Technology Shanghai, China3
LIFL (UMR Lille1/CNRS 8022) Telecom Lille1, Université de Lille1, France3
EURECOM Sophia Antipolis, France3
LAAS-CNRS, INSA, Université de Toulouse, CNRS, Toulouse, France3
State Key Laboratory of Industrial Control Technology, Zhejiang University, Zheda Road 38, Hangzhou, 310027, China3
Computer Science Department, Technical University of Cluj-Napoca, Image Processing and Pattern Recognition Group, Romania3
Department of Electrical and Computer Engineering, American University of Kuwait3
GE Global Research3
Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China3
Pohang University of Science and Technology, Pohang3
Machine Vision Group, Computer Science and Engineering Laboratory, University of Oulu, P.O. Box 4500, FI-90014, Oulu, Finland3
IntelliView Technologies Inc., Calgary, AB, Canada3
Department of ECE, Delhi Technological University, Delhi, India3
MindLAB Research Group, Universidad Nacional de Colombia, Colombia3
Dept. of Information Technology, Madras Institute of Technology, Anna University, Chennai, India3
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada3
National University of Science & Technology, (NUST), College of EME, Rawalpindi, Pakistan3
Guangdong University of Technology, China3
P.G. Department of Computer Science and Engineering, SGB Amravati University, Amravati (M.S.), India3
Department of Computer Engineering, American University of Sharjah (AUS), Sharjah, United Arab Emirates3
Laboratory of Electronics and Information Technology (LETI), National Engineering School of Sfax, Sfax, B.P.W.3038, Tunisia3
Department of Computer Science, Vogt-Koelln-Strasse 30, 22527 Hamburg - Germany3
Carnegie Mellon University, Pittsburgh, PA 15213, USA3
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, P. R. China3
University Ca' Foscari, Venezia Mestre, Italy3
Department of Computer Science, University of Massachusetts Amherst, Amherst MA, 010033
Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, 166 27 Prague 6, Technická 2 Czech Republic3
CSE, School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India3
Computer Laboratory, University of Cambridge, United Kingdom3
Indian Institute of Technology Delhi, New Delhi 1100163
Robotics and Computer Vision Research Laboratory, ADSIP Research Centre, School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK3
DISI, Università di Genova, Italy3
INRIA Rocquencourt, France3
Laboratoire d’imagerie, de vision et d’intelligence artificielle École de technologie supérieure, Université du Québec, Montréal, Canada3
School of Information and Telecommunication Engineering, Beijing University of Posts and Telecommunications, China3
Idiap Research Institute, and the School of Electrical Engineering, Swiss Federal Institute of Technology in Lausanne (EPFL), Martigny, Switzerland3
Shenzhen Graduate School, Peking University, China3
Institute of Automotive Engineering, Jiangsu University, China3
Center for Research of E-life DIgital Technology (CREDIT), Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan3
Department of Computer Engineering, Kyung Hee University, Yongin, Gyonggi, Korea3
Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea3
Center for Research in Intelligent Systems, University of California, Riverside Winston Chung Hall 216, Riverside, CA, 92521-0425, USA3
Department of Electronics, Telecommunications and Information Technology, Polytechnic University of Bucharest, Romania3
Data Management and Biometrics Group, Faculty of EEMCS University of Twente, Enschede, AE, 7500, The Netherlands3
Institute of Computational Science, University of Lugano, Switzerland3
Hanoi University of Science and Technology, Hanoi, Vietnam3
HKUST-DT System and Media Laboratory, Hong Kong University of Science and Technology, Hong Kong3
Faculty of Information Engineering, Guangdong University of Technology, Guangzhou, China, 510063
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Korea3
Department of Electrical Engineering, Indian Institute of Science, Bengaluru, India3
Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy3
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai, 200240, China3
North Carolina A&T State University, Greensboro, NC3
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China3
Cognitive Science Department of Xiamen University, Fujian Key Laboratory of the Brain-like Intelligent Systems, China3
School of Computing and Communication, Infolab21, Lancaster University, LA1 4WA, United Kingdom3
School of Computing, Universitas Telkom, Multimedia Laboratory, Bandung, West Java, 402573
Parallel processing image. Computer Engineering Department, Electrical and Computer Faculty. Tarbiat Modares, Tehran, Iran3
Istanbul Technical University, Computer Engineering Dept., 34469, Maslak, Turkey3
School of Microelectronics, Shanghai Jiao Tong University, Shanghai, China, 2002403
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
School of physics and engineering, Sun Yat-Sen University, GuangZhou, China3
AdViSe Technology Center, KU Leuven Department of Industrial Engineering Sciences, Germany3
University of Louisville, KY, USA3
British Malaysian Institute, Universiti Kuala Lumpur, Selangor3
Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Leganés, Spain3
School of Electrical Engineering and the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology, Atlanta, GA 30308, USA3
The School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Surface Robotics Lab, Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur - 713209, West Bengal, India3
Faculty of Robot Science & Engineering, Northeastern University, Shenyang, 110819, China3
Department of Computer Science, National Tsing Hua University, Taiwan, R.O.C3
School of Electronics and Information Engineering, Tianjin University, Tianjin, China3
State Key Laboratory of Software Development Environment, Department of Computer Science and Engineering, Beihang University, Beijing 1001913
School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea3
Dept. of Computer Science, University of Calgary, AB, Canada3
Oak Ridge National Laboratory, USA3
Osaka University, Toshiba Corporation3
Center for Brains, Minds and Machines, McGovern Institute for Brain Research, MIT, Cambridge MA 02139, U.S.A.3
Technicolor Research and Innovation, Cesson-Sévigné, France3
Department of Electrical Engineering University of Windsor, 401 Sunset Ave, Windsor, ON, Canada3
Beijing institute of technology, China3
Graduate School of Science and Technology, Kumamoto University, Japan3
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
The University of Hong Kong, Hongkong, China3
Yonsei University, Seoul, Rebublic of Korea3
LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco3
Signal Processing and Speech Communication Lab, University of Technology, Graz, Austria3
Computational Vision Group, School of Systems Engineering, University of Reading, UK3
Department of Electronics, University of Kent, Canterbury, UK CT2 7NT3
RWTH Aachen University, Germany3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43 (FR) - Italy3
School of Software Engineering, Tongji University, Shanghai 201804, China3
Dept. of CS&E, IIT Madras, India3
School of Engineering and Digital Arts, University of Kent Canterbury, Kent, United Kingdom3
Department of Computer Science, George Mason University, Fairfax, VA 22032, USA3
Department of Telecommunication Engineering, Beijing Information Science and Technology University, Beijing, China 1001013
University of Maryland, Baltimore County, Baltimore, MD, USA3
Department of Electrical and Computer Engineering, University of Denver, CO, USA3
School of Electronics and Telecommunications, Hanoi University of Science and Technology, Vietnam3
GIPSA-Lab, Grenoble, France3
Institution of information Science, Beijing Jiaotong University, Beijing, China3
School of Automation, Southeast University, Nanjing 210096, China, Key Laboratory of Measurement and Control of CSE, Ministry of Education3
Computer Vision Center, Campus UAB, O-08193, Barcelona, Spain3
Department of Computer Science, Rutgers University, NJ, USA3
Harman International Industries, India3
Institute of Software, College of Computer, National University of Defense Technology, Changsha, Hunan, China, 4100733
Computer Vision and Image Processing Lab, Institute for Integrated and Intelligent Systems, Griffith University, Australia3
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology3
George Mason University, Fairfax, VA 22030, USA3
Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden3
Kulliyyah of Information & Communication Technology International Islamic University Malaysia Kuala Lumpur, Malaysia3
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, USA3
University of Oulu: Finland, Oulu, Finland3
Institute of Space Science, Bucharest, ISS, Romania3
LIFL UMR Lille 1-CNRS n 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d'Ascq, France3
University of St Andrews3
Graduate Institute of Electrical Engineering, National Taiwan University, Taipei, Taiwan3
Department of Electrical Engineering Indian Institute of Technology Kanpur, India - 2080163
Electronic Engineering Department, Tsinghua University, Beijing, China3
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi3
AltumView Systems Inc., Burnaby, BC, Canada3
Central China Normal University, Wuhan, China3
REsearch Groups on Intelligent Machines, University of Sfax, Soukra street, B.P. 1173, 3038, Sfax, Tunisia3
Department of Electrical Engineering & Electronics, University of Liverpool, UK3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, 41121 MO, Italy3
CES Research Laboratory, National Engineering School of Sfax, University of Sfax, Tunisia3
School of Computer Science, Fudan University3
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China3
GREYC Laboratory, ENSICAEN - Université de Caen, Basse-Normandie - CNRS3
Graduate School of Information, Production and System, Waseda University, Japan3
Center of Informatics, Federal University of Pernambuco, Recife, Brazil3
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen3
NICTA3
Key Laboratory of Measurement and Control of CSE, Southeast University, Nanjing, China3
School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA3
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China3
University of North Carolina, Charlotte3
Electrical Engineering Pennsylvania State University3
Electrical and Computer Engineering Johns Hopkins University3
Video Analytics Lab, SERC, Indian Institute of Science, Bangalore, India3
Computer Science Department, Central University of South Bihar3
Qatar Computing Research Institute, HBKU, Doha, Qatar3
IBM T.J. Watson Research Center, USA3
The Pennsylvania State University, USA3
Institute of Systems Science, Northeastern University, Shenyang, Liaoning Province, China3
Certis Lab, ENPC ParisTech, France3
University of Miami, USA3
School of Computer Science and Technology, Nanjing Normal University, Nanjing 210046, China3
University of Toulouse, Toulouse, France3
Victoria University, Melbourne, Australia3
Faculty of Engineering and Information Technology, INTI International University, Nilai, Malaysia3
Media Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA3
Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Center for Research on Intelligent Perception and Computing3
University of Melbourne, Parkville, Australia3
National Laboratory of Pattern Recognition & University of Chinese Academy of Sciences, Beijing, China3
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China3
Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida 326013
College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, China3
Centre of Visual Computing, Faculty of Computing and Informatics, Multimedia University, Cyberjaya 63100, Selangor, Malaysia3
Certis, Lab, ENPC ParisTech, France3
Australian National University (ANU), Australia3
School of Electrical and Computer Engineering, University of Seoul, Korea3
Samsung Research and Development Institute Bangalore Pvt Ltd., Bangalore, India3
Inst. of Autom., Shanghai Jiao Tong Univ., China3
Graduate School of Integrated Design Engineering, Keio University, Kanagawa, Japan3
Dept. of Comput. Sci., Sao Paulo Univ., Brazil3
Video Processing and Understanding Lab, Universidad Autónoma de Madrid, Madrid, Spain3
School of Computer Science and Technology, Nanjing University of Science and Technology, 210094, China3
Research Center of Intelligent Robotics Shanghai Jiao Tong University, Shanghai, 200240, P.R. China3
Automation Department, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China3
Center for Research on Intelligent Perception and Computing National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences3
The University of Tennessee, Knoxville, Tennessee, 379963
Departamento de Seguridad y Defensa, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador3
School of Healthcare Science Manchester Metropolitan University, UK, M1 5GD3
School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, Jinan, China3
Department of Information system Science, Graduate School of Engineering, Soka University, Hachioji-Shi, Tokyo, Japan3
GREYC, Universite of Caen, Caen, France3
Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal3
Visualisation Group, University of Warwick, Coventry, UK3
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China3
Department of Electrical Engineering, Indian Institute of Technology at Kanpur, Kanpur, India3
Instrumentation, IT and Systems Lab IRSEEM Rouen, FR3
Centre of Informatics, Federal University of Pernambuco, Recife-PE, Brazil. Bruno J. T. Fernandes is also with the Polytechnic School, University of Pernambuco, Brazil3
Graduate School of Information Science, Nagoya University, Aichi, Japan3
Shanxi University, Shanxi Province, China3
Computer Vision Laboratory, ETH Zurich, Sternwartstrasse 7, 8092, Switzerland3
Microsoft Corporation, Redmond, WA, USA3
Dept. of Inf., Aristotle Univ. of Thessaloniki, Greece3
Department of Electrical and Computer Engineering, Peking University, Beijing, China3
Department of electronic engineering, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China3
School of Information and Communications, Gwangju Institute of Science and Technology, Buk-Gu, Gwangju, South Korea3
Faculty of Engineering and Information Technology, University of Technology, Sydney3
Visual Analysis of People (VAP) Laboratory, Rendsburggade 14, Aalborg University, 9000 Denmark3
Mie university, Mie, Japan3
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA3
Universidade Federal de Minas Gerais (UFMG), Brazil3
Computer Vision and Geometry Lab, ETH Zürich, Switzerland3
AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, 1220 Vienna, Austria3
Department of Electrical and Computer Engineering, Boston University, 8 Saint Mary's St., Boston, MA USA 022153
Dept. of Electrical and Computer Engineering, University of Dayton, OH, USA3
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, CA, USA3
Human-Machines Interaction (HMI) Laboratory, Dept. of Industrial Informatics, TEI of Kavala, Agios Loukas 65404, Greece3
IT - Instituto de Telecomunicações, University of Beira Interior, Portugal3
Sloan School of Management and Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA3
Thiagarajar College of Engineering, Madurai, Tamilnadu, India3
Thundercloud Research Lab, Faculty of Info. Science & Technology (FIST) Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia3
Image Processing and Analysis Laboratory, University “Politehnica” of Bucharest, Romania3
Center for Cognitive, Connected & Computational Imaging, College of Engineering & Informatics, NUI Galway, Ireland3
University of Tübingen, Tübingen, Germany3
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences3
Computer Vision Lab, Sungkyunkwan University Suwon, South Korea3
Sapienza University of Rome3
CyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, PA, USA3
ECSE Department, Rensselaer Polytechnic Institute, Troy, USA3
Chongqing University of Posts and Telecommunications Chongqing, China3
City University of Hong Kong3
LIRIS, École Centrale de Lyon, UMR5205, F-69134, France3
Electrical Engineering Department and Advanced Mining Technology Center, University of Chile Santiago, Chile3
MIT Lincoln Laboratory3
National Laboratory of Pattern Recognition, Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China3
Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Košice, Slovakia3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43, (FR) - Italy3
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China3
School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India3
Dept. of Electrical Engineering and Information Technology, GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany3
Department of Engineering Science, University of Toronto, Toronto, Canada3
Department of Computer Science and TechnologyState Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China3
Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia3
Department of Electronic Systems, Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania3
Venue Maps Department, HERE North America LLC, Chicago, IL, USA3
Department of Electrical Engineering, The City College, The City University of New York, NY, USA3
Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China3
Department of Information Technology, SSN College of Engineering, Chennai, India3
Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, 21945-970 CEP, Brazil3
Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China3
University of California San Diego, United States of America3
Movidius Ltd. 1st Floor, O'Connell Bridge House, D'Olier Street, Dublin, Ireland3
Department of Psychology, University of Pittsburgh, PA, 15260, USA3
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China3
Department of Computer Science, University of Northern British Columbia, Canada3
S.P.I.T., Mumbai3
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA3
Temasek Laboratories, National University of Singapore, 117411 Singapore3
Hewlett-Packard Labs3
Imperial College London, London, U.K.3
Institute of Control and Information Engineering, Poznan University of Technology, Poznan, 60-9653
Faculty of Science and Technology University of Macau Macau SAR, China3
Universitat Heidelberg, Heidelberg, Germany3
Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain3
Bilgisayar Mühendisliği Bölümü, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye3
Graduate School of System Design Tokyo Metropolitan University Tokyo, Japan3
Graduate School of Computer and Cognitive Sciences, Nagoya, Japan3
Informatics Engineering Dept., Engineering Faculty, Mataram University, J1. Majaphit 62 Mataram Lombok, Indonesia3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China3
Department of Computer, Qaemshahr Branch, Islamic Azad University, Iran3
Daimler AG, Wilhelm-Runge-Str. 11, Ulm, 89081, Germany3
Unmanned System Institute, National University of Defense Technology, Changsha, China3
Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing 100876, China3
Oregon State University, Corvallis, OR 97331, USA3
School of Electrical Engg. & Comp. Science, National University of Sciences and Technology, Pakistan3
Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, India3
Halmstad Univ., Sweden3
Peking University, China / Shanghai Jiao Tong University, China3
School of Software, Jiangxi Normal University, Nanchang, China3
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124, Greece3
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, China3
Department of Computer Science, Independent University Bangladesh, Dhaka, Bangladesh3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, 100876, China3
CAS University of Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China3
Image Processing Group, Universidad Politécnica de Madrid, Madrid, Spain3
School of Electrical Engineering and Computer Science, DIVA Strategic Research Network, University of Ottawa, Ottawa, ON, Canada3
Department of Electronics, AGH University of Science and Technology, Kraków, Poland3
University of Luxembourg, Luxembourg3
Dept. of Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan 300, China3
Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA3
Federal University of Technology - Parana, Brazil3
University of Wollongong, Australia3
Automated Reasoning and Cognition Key Laboratory of Chongqing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China3
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA3
Department of Electronics, University Alcalá, Madrid, Spain3
MPI Informatics, Saarbrücken3
Department of Measurement & Control, University of Kassel, Kassel, Germany3
Graduate Institute of Automation and Control, National Taiwan University of Science and Technology, Taipei, Taiwan3
The University of Auckland, Auckland, New Zealand3
Center for Biometric Authentication & Testing, Chinese Acad. of Sci., Beijing, China3
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA3
Department of Molecular, Cellular, and Developmental Biology, University of California Santa Barbara3
School of Electrical & Electronic Engineering, Yonsei University, Biometrics Engineering Research Center, 134 Shinchon-dong, Seodaemun-gu, Seoul, Republic of Korea, 120-7493
School of Computing, The University of Leeds, United Kingdom3
ETH Zürich3
Elektronik Mühendisliği Bölümü Ankara Üniversitesi, Ankara, Türkiye3
Victoria University of Wellington3
School of Science and Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil3
Naval Aeronautical and Astronautical University, Department of Electronic and Information Engineering3
Adobe Research, San Jose, CA 95110, USA3
BMS College of Engineering, Bangalore, INDIA3
Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China3
Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China3
Institute of Image Transmission and Information Processing, Shanghai Jiao Tong University, Shanghai, China3
University of Jinan, Jinan City3
Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, Jiangxi, 330013, China3
Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic3
Visual Analysis of People (VAP), Aalborg University, Rendsburggade 14, Denmark3
Laboratory of Inverse Problems, Modeling, Information, and Systems (PI:MIS), Department of Electronics and Telecommunications, University of May 08 1945, B.P box 401, Guelma 24 000, Algeria3
Department of Radiation Oncology, Stanford University, Stanford, CA, USA3
College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China3
Department of CS and IT, Dr. B A M University, Aurangabad, (MH), India3
Dept. of CSE, SUST Sylhet, Bangladesh3
Deniz Harp Okulu, Turkey3
School of Computing and Communication, Lancaster University, Lancaster, U.K.3
C & C Innovation Research Labs, NEC Corporation, Nara, Japan3
Fuzhou University, Fuzhou, Fujian, China3
Mines-Télécom/Télécom Lille, CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France3
University of Wisconsin - Madison3
School of Mechanical and Automotive Engineering, South China University of Technology, GuangZhou, China3
Monash University3
School of Electronic Engineering and Computer Science, Queen Mary University of London, E1 4NS, United Kingdom3
Institute of Imaging and Computer Vision, RWTH Aachen University, Templergraben 55, 52056, Aachen, Germany3
Electronics and Telecommunications Research Institute, Daejeon, South Korea3
Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA3
Robotics Research Center, IIIT Hyderabad3
Computer Science, Duke University, USA3
Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, People’s Republic of China3
Department of Electrical and Computer Engineering, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA3
Key Lab of Intel. Inf. Proc, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China3
Autonomous University of the State of Mexico, Toluca, Mexico3
Southwest Jiaotong University, Chengdu, China3
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China, 6117313
School of Electronics and Computer Science, University of Southampton, UK3
Dipartimento di Informatica, Università di Milano, Via Comelico 39/40, 20135, Italy3
Texas A8M University, TX, USA3
GRASP Lab, University of Pennsylvania, 3330 Walnut Street, 19104, Philadelphia, USA3
Research Concentration in Speech, Audio and Video Technology, School of Electrical and Electronic Systems Engineering, Queensland University of Technology, Australia3
Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy3
Department of Electronics, University of Alcalá, Madrid, Spain3
Daimler AG, Research and Development. Ulm, Germany3
Embedded Systems Laboratory, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland3
University of Freiburg, Freiburg, Germany3
School of Information Technologies, University of Sydney, Australia3
University of Information Technology, Department of Knowledge Engineering and Machine Learning, Ho Chi Minh city, Vietnam3
IBM T. J. Watson Research, Yorktown Heights, NY, USA3
Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania3
Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany3
ATR Key Laboratory, Shenzhen University, Shenzhen, China3
Department of Electrical Electronic engineering, Yonsei University, 50 Yonseiro, Seodaemungu, Seoul, South Korea3
Departament de Ciències de la Computació and the Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Spain3
ANU (Australian National University), Australia3
Institute for Network Sciences and Cyberspace (INSC), Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, 100084, China3
Department of Computer Science, University of Brasilia, DF 70910-900 Brazil3
Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan3
Department of Electrical and Electronics, National Institute of Technology Surathkal, Mangalore, India3
School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan3
Beijing University of Posts and Telecommunications, No. 10, Xitucheng Road, Haidian District, Beijing, PR China3
Institute of Information Science, Beijing Jiaotong University, Beijing, 100044, China3
School of Engineering, Griffith University, Nathan Campus, QLD 4111, Australia3
Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore3
Institute for Electronics, Signal Processing and Communications, Otto-v.-Guericke University, Magdeburg, Germany3
Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligence Telecommunication Software and Multimedia, Beijing, China3
Computer Aided Medical Procedures, Technische Universität München, Germany3
Department of Computer Science and Technology, Harbin University of Science and Technology, China3
University of sciences of Monastir, Monastir, Tunisia3
2012 Labs, Huawei, Bangalore, India3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10 000, Croatia3
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil3
Institution of information Science, Beijing Jiaotong University, Beijing 100044, P.R. China3
Dept. of Computer Science, U. of Southern California3
CRIPAC & NLPR, Institute of Automation Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China3
University at Buffalo, The State University of New York, Buffalo, NY 14203, USA3
Machine Perception Laboratory, University of California San Diego, USA3
University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia3
Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China3
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, Hunan 4100733
West Virginia University, PO Box 6201, Morgantown, West Virginia 265063
College of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China3
KULeuven, EAVISE3
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 300133
Islamic Azad University, Karaj Branch, Computer Engineering Department, Daneshgah St, Rajaee Shahr, Iran3
Bioinformatics Institute, A∗STAR, Singapore3
Department of Computer Science, University of Hamburg, Germany3
Department of Haematology, University of Cambridge, Cambridge, United Kingdom3
Computer Aided Medical Procedures, Technische Universitaet Muenchen, Munich, Germany3
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, CAS, Beijing 100190, China3
Environment Perception, Daimler R&D, Sindelfingen, Germany3
Shanghai Jiao Tong University, Institute of Image Communication and Network Engineering3
Jaguar Land Rover, Engineering Centre, Coventry, UK3
Department of Computer Science, University of Warwick, Coventry, UK3
Biometrics Engineering Research Center (BERC), Yonsei University, Seoul, South Korea3
Postgraduate Program in Computing State University of Maringá, Avenida Colombo, 5790, Maringa - Parana - Brasil3
Azbil Corporation 1-12-2, Kawana, Fujisawa-shi, 251-8522, Japan3
Graduate School of Information Sciences, Tohoku University, 6-6-05., Aramaki Aza Aoba., Sendai-shi., 980-8579., Japan3
PRISME laboratory, 12 rue de Blois, F-45067 Orleans Cedex2, France3
Beijing University of Posts and Telecommunications, Beijing, P.R. China, 1008763
Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology, Guangdong 518055, China3
Ecole Polytechnique Fédérale de Lausanne, Lausanne3
School of Mechanical and Electric Engineering, Guangzhou University, China3
Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany3
Department of Computer Science, University of Southern California, Los Angeles, California 900893
School of Telecommunications Engineering, Xidian University, Xi’an, China3
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China3
School of Mathematics, Statistics and Computer Science, UKZN, Durban, South Africa3
National University of Defense Technology, Hunan Changsha, China3
Department of Electrical Engineering, and Advanced Mining Technology Center, Universidad de Chile Av. Tupper 2007, Santiago, Chile3
Department of Information Science and Engineering, Changzhou University, Changzhou, China3
Department of Computer Engineering, University of Kashan, Iran3
Dept. of ECE, SVEC, Tirupati, AP3
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia3
Purdue University, West Lafayette, IN, USA3
University of Girona, ATC, Girona, Spain3
Department of Computer ScienceMultimedia Processing Laboratory, National Tsing Hua University, Hsinchu, Taiwan3
School of Computing, Engineering and Mathematics, Western Sydney University, Locked Bag 1797, Penrith NSW 2751, Australia3
Department of Electronic Engineering, Inha University, Republic of Korea3
School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, India3
Texas State University-San Marcos3
Department of Electronic Science & Technology, School of Information Science & Technology, East China Normal University, No. 500, Dongchuan Road, Shanghai 200241, China3
Australian Centre for Field Robotics, University of Sydney, Sydney, NSW, Australia3
The Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213 USA3
Institute for Human-Machine Communication, Technische Universität München3
CVIT, KCIS, IIIT Hyderabad, India3
Department of Electronics & Computer Engineering, Chonnam National University, Gwangju, South Korea3
Polish-Japanese Academy of Information Technology R&D Center, Warsaw, Poland3
Faculty of Electronics, Wroclaw University of Science and Technology, Wroclaw, Poland3
Face Aging Group, Computer Science Department, UNCW, USA3
Department of Computer Science and Engineering - Aalto University - Espoo, Finland3
Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, U.K.3
Indian Institute of Information Technology at Allahabad, Allahabad, India3
City University of New York, New York, NY, USA3
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China3
Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany3
Institute of Computer Science University of Goettingen, Data Fusion Group, Germany3
Signal Processing Research Group Electrical and Computer Engineering Department, Yazd University Yazd, Iran3
Faculty of Information Technology, University of Technology, Sydney, Australia3
INRIA Grenoble Rhône-Alpes, Saint Ismier, France3
Stanford University, Palo Alto, CA, USA3
FZI Research Center for Information Technology, 76131 Karlsruhe, Germany3
Department of Electronic Engineering, Dalian University of Technology, 116023, China3
University of Technology Sydney, Centre for Autonomous Systems, 15 Broadway Ultimo, NSW 20073
Dept. of Automation and Applied Informatics, Politehnica University of Timisoara, Romania3
Dept. of Electrical and Computer Engineering, University of Michigan 1301 Beal Avenue, Ann Arbor, MI 48109-21223
The Chinese University of Hong Kong, Hong Kong SAR of China3
Centre for Visual Information Technology, IIIT Hyderabad, Hyderabad, India3
CVSSP Group, Surrey Univ., Guildford, UK3
University of Pennsylvania3
Department of Computer Engineering, Middle East Technical University, Ankara, Turkey3
Informatics & Telematics Institute, Centre for Research & Technology Hellas, Thermi-Thessaloniki 57001 Greece3
Department of Electronics and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan3
Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Robot and Assistive Systems Department, Nobelstraße 12, 70569 Stuttgart, Germany3
Computer Vision and Image Processing Laboratory, University of Louisville, Louisville, KY, 40292, USA3
Department of Electrical and Computer Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran3
Department of Electrical and Computer Engineering, University of Dayton, Ohio, USA3
The University of Buckingham, Buckingham, MK18 1EG, UK3
Multimedia and Information Security Laboratory, ABV-Indian Institute of Information Technology and Management, Gwalior, India, 4740153
Center for Signal & Image Processing, Georgia Institute of Technology, Atlanta, 30332-0250, USA3
Dpto. de Senales y Comunicaciones, Univ. de Las Palmas de Gran Canaria, Spain3
Speech and Image Processing Research Lab, Department of Electronics and Communication Engineering, National Institute of Technology Silchar, 788010, Assam, India3
School of Automation and the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Huazhong University of Science and Technology, Wuhan, China3
Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, Institute of Automation, CAS, Beijing, China3
The University of Hong Kong3
Northwestern Polytechnical University, Xi'an, 710072, China3
Department of Computer and Information Science, Temple University, Philadelphia, PA, 19122, USA3
Artificial Vision Lab., Dept Mechanical Engineering, National Taiwan University of Science and Technology3
Amity University Uttar Pradesh, Noida, India3
Bilgisayar Mühendisliği Bölümü, Başkent Üniversitesi, Ankara, Türkiye3
Centre for Autonomous Systems at KTH Royal Institute of Technology, Stockholm, Sweden3
Key Laboratory of System Control and Information Processing MOE, Department of Automation, Shanghai Jiao Tong University3
Kyushu Institute of Technology, Tobata, Kitakyushu, Fukuoka, Japan3
Karlsruhe Institute of Technology, Institute for Anthropomatics, Germany3
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore3
Department of Computer Science and Engineering Toyohashi University of Technolog Toyohashi, Japan3
Department of Computer Science, University of Toronto3
Centre for Vision, Speech and Signal Processing, University of Surrey, Surrey, UK3
School of Automation, Southeast University, Nanjing, Jiangsu 210096, China3
Institute of Industrial Science The University of Tokyo, Tokyo, Japan3
Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, SI-1000 Ljubljana, Slovenia3
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX, USA3
Electrical and Electronic Engineering Department, Imperial College London, SW7 2AZ, UK3
Cornell University, Ithaca, NY, USA3
Center for Digital Media Computing, Software School, Xiamen University, Xiamen 361005, China3
Department of InformaticsSystems and Communication, University of Milano–Bicocca, Milan, Italy3
School of Computer Science, University of Manchester, United Kingdom3
College of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China3
Instituto de Sistemas e Robótica, Lisbon, Portugal3
Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G.C., Evin 1983963113, Tehran, IRAN3
EECS Department, Northwestern University, Evanston, IL, USA, 602083
Computer Science & Information Engineering, National Taiwan University, Taipei, Taiwan3
Department of Computer Science, University of Central Florida, Orlando, 32816, United States of America3
Department of Electrical and Information Engineering, University of Cassino and of Southern Lazio, (FR), Italy3
Visual Analysis of People Laboratory, Aalborg University (AAU), Aalborg, Denmark3
Key Lab of Intelligent Information Processing of CAS, Institute of Computing Technology, Beijing 100190, China3
School of Information Engineering, Wuyi University, Jiangmen, Guangdong, China3
Key Laboratory of Machine Perception (MOE), School of EECS, Peking University3
Southern Illinois University at Carbondale, Carbondale, IL3
School of Information Technology, Computer Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand3
Computer Science Department, University Politehnica of Bucharest, Bucharest, Romania3
National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan3
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China3
Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA3
Department of Mathematics & Computer Science, Philipps-Universität Marburg, D-35032, Germany3
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, 90089, USA3
Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India 2476673
IRISA, University of Rennes 1, Rennes, France3
Disney Research Zurich3
Nuremberg Institute of Technology Department of Computer Science3
School of Electronic and Information Engineering, Sun Yat-sen University, Guangzhou, China3
Multimedia Communication and Pattern Recognition Labs, Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China3
Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan3
Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs3
Computing Department, Universidade Federal de Ouro Preto, Ouro Preto, MG, 35400-000, Brazil3
Department of Computer Science and Telecommunications, National Research University of Electronic Technology (MIET), Zelenograd, Russia3
Mercedes-Benz Research & Development North America, USA3
Agency for Defense Development, Korea3
Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
Institute of Robotics and Automatic Information System (IRAIS), Nankai University, Tianjin 300071, China3
State Key Laboratory of Intelligent Technology and Systems, TNList, Department of Computer Science and Technology, Tsinghua University, Beijing, China3
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, China and Collaborative Innovation Center of Geospatial Technology, Wuhan University, China and National Enginee ...3
King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia3
Nanyang Technological University, Nanyang Avenue, Singapore3
Shanghai Jiaotong University, China3
Department of Computer Science and Engineering, Graduate School of Engineering and Resource Science, Akita University, Akita, Japan3
Signal and Communication Lab, University of Brescia, Italy3
West Virginia University, Morgantown, WV, USA3
Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan3
Computer Science Department, University of Calgary, Calgary, AB, Canada3
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University3
SHISEIDO CO., LTD. Beauty Solution Development Center, 3-9-1,Nishigotanda Shinagawa, Tokyo, 141-0031, Japan3
University of Verona, Strada le Grazie, Verona, Italy3
School of Engineering & Applied Sciences, Harvard University3
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)3
Information and media processing laboratories, NEC Corporation3
Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, 28 West Xianning Road, Xi'an, Shaanxi, 710049, China3
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, Beijing, China3
TU Berlin, Berlin, Germany3
Aarhus University, Aarhus, Denmark3
Dept. of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong Yuseong-gu Daejeon, Korea3
Department of Computer Vision and Multimodal Computing, Max-Planck Institute for Informatics, Saarbrücken, Germany3
Advanced Informatics School (AIS), Universiti Teknologi Malayisa (UTM), Kuala Lumpur, Malaysia3
PARC, Palo Alto, CA3
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, Illinois, United States3
Department of Systems Engineering, Universidad Carlos III de Madrid, C/ Butarque 15, Leganes, Spain3
Centro de Investigación y de Estudios Avanzados del I.P.N., Coordinación General de Tecnologías de la Información y las Comunicaciones Av. I.P.N. No. 2508, Col. San Pedro Zacatenco 07360, México, D.F., México3
Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Valencia, Spain3
School of Information Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China3
Cerema, Department Laboratory of Clermont-Ferrand, 8-10 rue Bernard Palissy, F-63017 Cedex 2, France3
School of Automation, Southeast University, Nanjing, People’s Republic of China3
Faculty of Computer Engineering, Iran University of Science and Technology3
School of Information Science and Technology, Donghua University, Shanghai, China3
Mathematical and Computer Science Department, Faculty of Science, Sohag University, Egypt3
University of California San Diego3
School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China3
Evolutionary Computation Research Group, Victoria University of Wellington, PO Box 600, wellington, 6140, New Zealand3
School of Information Technologies, The University of Sydney, NSW 2006, Australia, Sydney3
Xi’an Jiaotong University, Xi’an, China3
Kyung Hee University, South Korea, 1 Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do 446-7013
Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China3
MIT Media Lab, Cambridge, MA, USA3
Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany3
Department of Computer Science, University of British Columbia, Vancouver, BC, Canada3
School of Creative Technologies, University of Portsmouth, Portsmouth, POI 2DJ, UK3
The University of Electro-Communications, Japan3
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China3
Autonomous Driving System Research Group, ETR, Daejeon 34219, Korea3
School of Engineering, RMIT University, Melbourne, 3000, Australia3
Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada H3G 1M83
Faculty of Engineering and Applied Science University of Regina Regina, Canada3
Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitési3
National Key Laboratory for Novel Software Technology, Nanjing University, 210093, China3
Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China3
Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., South Korea3
Desert Research Institute, Reno, USA3
NASA Ames Research Center, Moffett Field, USA3
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China3
Brain Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, CO4 3SQ Colchester, UK3
Mitsubishi Electric Research Labs (MERL) Cambridge, Massachusetts, USA3
School of Engineering, Cranfield University, UK3
Department of Information Engineering, University of Firenze, Firenze, Italy3
University of Nottingham, Ningbo China3
Institut VEDECOM, Versailles, France3
Research Groups on Intelligent Machines, University of Sfax, BP 1173, Sfax 3038, Tunisia3
School of EEE, Nanyang Technological University, Singapore 6397983
Hasso Plattner Institute, Potsdam, Germany3
Department of Informatics, Aristotle University of Thessaloniki, Informatics and Telematics Institute, CERTH, Greece3
University of Chinese Academy of Sciences, Beijing 100049, China3
Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea3
Department of Computer Engineering and IT, College of Engineering, Pune, India3
Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand3
Xi'an Peihua University, Intelligent Science & Information Engineering College, Xi'an, China3
Autonomous Ground Vehicle Team, Indian Institute of Technology Kharagpur, WB, 721302, India3
Gerhard-Mercator- University Duisburg, Department of Computer Science, Faculty of Electrical Engineering, 47057 Duisburg - Germany3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central Lancashire, Preston, PR1 2HE, UK3
School of Computing, Clemson University, Clemson3
Computer Science and Engineering Department, University of Notre Dame, Notre Dame3
University of Southern California, Playa Vista, USA3
Ural Federal University, Yekaterinburg, Russia3
College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China3
Computer Science Department, Technical University Of Cluj-Napoca, Romania3
Open University of Israel3
Department of Electrical Engineering, National Taiwan Normal University, Taipei 106, Taiwan3
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O.Box 217 7500 AE Enschede, The Netherlands3
Computer Science Department, Technical University of Cluj-Napoca3
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China3
Electrical and Computer Engineering Department, Semnan University Semnan, Iran3
Indian Institute of Technology Guwahati, Guwahati, India3
Computer Science Department, Boston University, Boston3
School of EECE, The University of Western Australia, 35 Stirling Highway, WA 6009, Australia3
Communication System Group, Technische Universität Berlin, Einsteinufer 17, 10587, Germany3
School of Computing, Communications and Electronics, University of Plymouth, UK3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia 41125, Modena, Italy3
Faculty of Information Technology, Ho Chi Minh City University of Science, VNU-HCM, District 5, Ho Chi Minh City, Vietnam3
Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa3
Vistek ISRA Vision, Boğaziçi Üniversitesi, İstanbul, Türkiye3
Department of Engineering, University of Modena, Modena, Italy3
Department of Electronic and Electrical Engineering, University College London, UK3
Dept of Information Technology, Panimalar Institute of Technology3
Key Laboratory of Dependable Service Computing in Cyber Physical Society, School of Software Engineering, Ministry of Education, Chongqing University, Chongqing, China3
Department of Computer Science, Pontificia Universidad Cato´lica de Chile3
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China, 2000303
Bo¿gaziçi University, Electrical & Electronic Engineering Department, 34342 Bebek, Istanbul, Turkey3
Fujitsu Laboratories, Kawasaki, Kanagawa, Japan3
Queen Mary University of London, Llrnperial College London3
Center of Informatics - CIn, Federal University of Pernambuco - UFPE, Recife, Brazil3
Department of Electronic and Computer Engineering National Taiwan University of Science and Technology3
Department of Computer Engineering, Kyung Hee University, Seoul, South Korea3
School of Information Science and Engineering, Southeast University, Nanjing, 210096, China3
International Centre for Wavelet Analysis and Its Applications, School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China3
Bilgisayar Mühendisliği, İstanbul Teknik Üniversitesi, İstanbul, Turkey3
School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China3
Utrecht University, Utrecht, Netherlands3
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, ROC3
Keio University, Yokohama, Kanagawa, Japan3
Queen Mary, University of London, London3
Department of Electrical Engineering, Indian Institute of Technology, Kanpur, PIN: 208016, India3
Department of Electrical & Computer Engineering, National University of Singapore, Singapore 1175763
Computer Engineering Department. University of Alcalá, Alcalá de Henares, Spain3
Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain3
Robert Gordon University, Aberdeen, United Kingdom3
Informatics Department, Aristotle University of Thessaloniki, Greece3
ADSPLAB/ELIP, School of ECE, Peking University, Shenzhen 518055, China3
National Laboratory of Pattern Recognition, Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China3
Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda, Turkey3
CES Research Laboratory, National Engineering School of Sfax, University of Sfax, Sfax, Tunisia3
Massachusetts Institute of Technology, Cambridge, MA, USA3
Idiap Research Institute, 1920 Martigny, Switzerland3
Faculty of Electrical Engineering, University of Ljubljana, Tr¿a¿ka 25, SI-1000, Slovenia3
School of Information and Electronics, Beijing Institute of Technology, Beijing P. R. China3
Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA3
Deir—University of Sassari, Sassari, Italy3
Aristotle University of Thessaloniki, Dept. of Informatics, Thessaloniki, 54124,Greece3
Program of Electrical Engineering, COPPE/UFRJ, Universidade Federal do Rio de Janeiro, Rio de Janeiro-RJ CEP, Brazil3
Vidyalankar Institute of Technology, Mumbai, India3
Department of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan3
GLA University3
College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610065, China3
National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China3
Department of Computer and Systems Engineering, Carleton University, 1125 Colonel By Drive, Ottawa ON, K1S 5B6 Canada3
Dept. of Inf. Technol., Okayama Univ., Japan3
School of Mechatronic Engineering, University Malaysia Perlis (UniMAP) Main Campus, Ulu Pauh, Perlis, Malaysia3
Michigan State University, United States of America3
DII - University of Modena and Reggio Emilia, Via Vignolese 905 - Italy3
University of Vigo3
LIMSI, CNRS, Univ. Paris-Sud, Université Paris-Saclay3
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China, 4300733
Department of Computer Science and Technology, Tsinghua University, State Key Laboratory of Intelligent Technology and Systems, Beijng, China3
Division of Graduate Studies, Tijuana Institute of Technology, México3
Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA3
UC Irvine3
University of Alabama3
Evolutionary Computation Research Group, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand3
Cooperative Medianet Innovation Center, Shang hai Jiao Tong University, China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, P.R. China, 2151233
University of Kaiserslautern & German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany3
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea3
Interdisciplinary Laboratory of Research in Sciences and Technologies (LIRST), Sultan Moulay Slimane University, Morocco3
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, 100191, China3
Guangxi University, School of Computer, Electronics and Information, Nanning, China3
Computer Vision Group, Friedrich Schiller University Jena3
Department of Computer Science and Engineering, Chalmers I University of Gothenburg, Gothenburg, Sweden3
Kumamoto Univ., Kumamoto3
Australian Centre for Field Robotics (ACFR), School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney 2006 NSW, Australia3
Key Laboratory of System Control and Information Processing, Ministry of Education of China, Department of Automation, Shanghai Jiao Tong University, China3
The Hong Kong University of Science and Technology3
Center for Information Technology, National Institutes of Health, Bethesda, Maryland 20892, USA3
Department of Electronics, University of Alcalá, Alcalá de Henares, Spain3
Terna Engineering College, University of Mumbai, Navi Mumbai 400706, India3
Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou, China3
School of Information Science and Engineering Shandong University Jinan, Shandong, 250100, China3
School of Computer Science, Kookmin University, Seoul, Korea3
Center for Automation Research, University of Maryland, College Park, 20742, USA3
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong3
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China3
University of Canberra3
Laboratoire J.-L. Lagrange, UMR7293, Université de Nice Sophia Antipolis, Nice Cedex, France3
Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea3
CERTH, Thermi-Thessaloniki, Greece3
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran3
Rochester Institute of Technology, Rochester, NY 14623, USA3
University of Surrey, UK3
College of Computer and Communication Engineering, China University of Petroleum, Dongying, China3
Center for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK3
Active Vision Lab, Department of Engineering Sciences, University of Oxford, UK3
College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA3
George Mason University, Fairfax, VA, USA3
University of Salerno, Salerno, Italy3
Dept. of Electrical and Computer Engineering, University of Wisconsin - Madison, USA3
College of Electronic Information and Automation, Civil Aviation University of China, Tianjin3
School of Computing and Information Sciences, Florida International University, Miami, FL3
School of Computer Science and Information Technology, RMIT University, Melbourne, Australia3
Department of Computer Science and Engineering, University of Notre Dame, IN, USA3
Reconstruct & Expansion Project of Zhu-Xin Section of Henan Expressway Co. Ltd, Xinyang, China3
XiHua University, Cheng Du3
School of Information and Communication Engineering, Beijing University of Posts and Telcommunications, Beijing, China3
Electrical and Information Engineering Department, Beijing jiaotong University3
University of Washington, Dept. of Computer Science and Engineering, Seattle, WA, USA3
Inha University, Incheon, Korea3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India3
Kyung Hee University, Korea3
University school of Information and Communication technology, Guru Gobind Singh Indraprastha University, Dwarka, New-Delhi, India3
Affiliated Sichuan Provincial Rehabilitation HospitalChongqing Medical University3
Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece3
Skolkovo Institute of Science and Technology, Skolkovo, Moscow3
CNRS, Heudiasyc UMR 7253, Sorbonne universités, Université de technologie de Compiègne, CS60319, Compiègne cedex, 60203, France3
Department of Electrical and Electronic Engineering, University of Bristol, BS8 1UB, UK3
Engineering Lab on Intelligent Perception for Internet of Things (ELIP) and Key Laboratory of Machine Perception (Ministry of Education), Shenzhen Graduate School, Peking University, China3
School of Information Science and Technology, Xiamen University, Xiamen, 3610053
Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, Houston, TX3
Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, China3
Department of Computer Science, Colorado State University, Fort Collins, 80523, USA3
State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing, China3
Department of Computer Science, Harbin Institute of Technology (Shenzhen), Shenzhen, China3
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1205, Bangladesh3
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China 1001903
Huazhong Univ. of Sci.& Tech., China3
Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106, USA3
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, USA3
Research Institute of Shenzhen, Wuhan University, Shenzhen, China3
Department of Electrical and Computer Engineering, Binghamton University, Binghamton, NY3
Shenzhen Key Lab. of Information Sci&Tech, Department of Electronics Engineering, Graduate School at Shenzhen, Tsinghua University, China3
Shanghai University3
Digital Media Lab., Tillämpad Fysik och Elektronik, Umeå Universitet, SE-90187, Sweden3
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, Shandong, 266580, China3
Lehigh University, Bethlehem, USA3
Institute of Automation Chinese Academy of Sciences, National Lab of Pattern Recognition, Beijing, China3
Department of Automation, National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China3
Department of Information Technology on Human and Environmental Science, Kumamoto University, Chuo-Ku, Kumamoto, Kumamoto, Japan3
Applied Research Group, Satyam Computer Services Ltd, 3rd Floor, SID Building, IISc Campus, Bangalore - 12, India3
Laboratory of Inverse Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications, University of 08 Mai 1945, P.O box 401, Guelma, Algeria3
Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Computer Science and Technology, Wuhan University of Sciences and Technology Wuhan 430065, China3
Chalmers University of Technology, Gothenburg, Sweden3
Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy3
Le2i Laboratory, University of Burgundy, Le Creusot, France3
Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany3
Australian Centre for Field Robotics, The University of Sydney3
CES-Laboratory, Sfax Sud University, National Engineering School of Sfax, Tunisia3
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore3
University of Firenze, via S. Marta 3, 50139 Firenze, Italy3
Hitachi, Ltd., Tokyo, Japan3
Center for Automation Research, University of Maryland, College Park, USA3
School of Computer Science, The University of Nottingham, United Kingdom3
Department of EE, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Electrical and Computer Engineering, Vision Laboratory, Old Dominion University, Norfolk, VA, USA3
Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA3
Department of Computer Science, Hong Kong Baptist University3
Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro #1, Tonantzintla, Puebla, Mexico3
Simula Research Laboratory, Oslo, Norway3
College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China3
Department of Electrical Engineering, Indian Institute of Science3
Center for Research in Computer Vision, University of Central Florida, Orlando, FL3
University of California, Los Angeles, CA Dept. of Electrical Engineering3
State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China3
School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK3
Aoyama Gakuin University, Japan Sagamihara, Japan3
Multimodal Interactive Syst., Darmstadt, Germany3
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, 9 rue Charles Fourier, Evry Cedex, 91011, France3
Department of Information Engineering, Media Integration and Communication Center (MICC), University of Florence, Italy3
National Taipei University of Technology3
Fujian Key laboratory of Sensing and Computing for Smart City, School of Information Science and Technology, Xiamen University, Xiamen, China3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, India3
Shanghai Advanced Research Institute, CAS, Shanghai, China3
School of Mathematics and Statistics, Yunnan University, Kumming, China3
Computer Engineering and Computer Communications Department, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia3
Center for Artificial Intelligence and Robotics (CAIRO), Aswan University, Egypt3
School of Computing and Communications, Lancaster University, Lancaster, U.K.3
Department of Electronic and Computer Engineering, National Taiwan university of Science and Technology, Taiwan R.O.C.3
Electrical Communications and Electronics Eng. Dept., Faculty of Engineering, Tanta University, Tanta, Egypt3
IBISC Laboratory, FRE CNRS 3190, University of Evry Val Essonne, Evry, France.3
Faculty of Computer Science and Engineering, Complutense University of Madrid, Madrid, Spain3
School of Electronic and Information Engineering, Xi'an Jiaotong University, 710049, China3
University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor, Malaysia3
Image Understanding Group, Daimler AG R&D, Stuttgart, Germany3
Department of Electronic and Computer Engineering, Brunei University, London, London, UK3
Institute for Electronics, Signal Processing and Communications (IESK) Otto-von-Guericke-University Magdeburg D-39016 Magdeburg, P.O. Box 4210 Germany3
REGIM: Research Groups on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), BP 1173, 3038, Tunisia3
Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical & Electronic Engineering, Universiti Teknologi PETRONAS, Malaysia3
Department of Computer Science, University College London, UK, WC1E 6BT3
School of Mechanical and Electrical Engineering, Shandong Management University, Jinan, China3
Research School of Engineering, Australian National University, Acton, ACT, Australia3
School of Mechanical and Electric Engineering, Soochow University, Suzhou Jiangsu, 215021, China3
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA3
Idiap Research Institute, Switzerland3
Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India3
IMAGO Research Group, Universidade Federal do Paraná, 81531-980 Curitiba, Brazil, PO Box 190923
Fac. of Inf. Technol., Multimedia Univ., Malaysia3
LA.R.A Laboratory, National Engineering School of Tunis, National Engineering School of Carthage, Tunis, Tunisia3
Key Lab of Machine Perception (MOE), Peking University, Beijing, China3
Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA3
School of Electrical Engineering, Korea University, 1, 5-ka, Anam-dong, Seongbuk-ku, Seoul 136-701, Korea3
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia3
Institute for Autonomous Systems Technology (TAS), Bundeswehr University Munich, Neubiberg, 85577, Germany3
Networked Robotics and Sensing Laboratory, Engineering Science School in Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada3
College of Computer Science and Technology, Xinjiang Normal University, Urumchi, 830054, China3
School of Information Technology, Deakin University, Geelong, VIC 3216, Australia3
Centre for Intelligent Sensing, Queen Mary University of London, Mile End Road, London E1 4NS, UK3
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China3
Computer Vision Center & Dept. Comp. Science, Universitat Autònoma de Barcelona, Cerdanyola, Spain3
LRIT, associated unit to CNRST (URAC 29), Mohammed V University in Rabat, B.P. 1014, Rabat, Morocco3
School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW, Australia3
Università degli Studi di Firenze, Firenze3
CyLab Biometrics Center and the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA3
Vision & Sensing Group, HCC Lab, ESTeM, University of Canberra, Australia3
School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 5180553
National Engineering Research Center on Multimedia Software, Wuhan University, 430072, China3
Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, India3
National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, Nizhny Novgorod, Russia3
School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa3
Advanced Analytics Institute, University of Technology, Sydney, Australia3
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China3
Biometric Recognition Group-ATVS, EPS, UAM, C/ Francisco Tomas y Valiente 11, 28049 Madrid, Spain3
ETIS/ENSEA, University of Cergy-Pontoise, CNRS, UMR 8051, France3
Department of Computer Science, The University of Liverpool, UK3
Sao Paulo State University – UNESP 13506-900, Rio Claro, SP - Brazil3
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39106, P.O. Box 4210 Germany3
Simula Research Laboratory, Norway3
Laboratory of Imaging Technologies, Department of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia3
Institute for Human-Machine Communication, TU München, Theresienstrae 90, 80333 München, Germany3
Center for Automation Research, UMIACS, University of Maryland, College Park, MD 20742 USA3
Department of Computer Science, Virginia Tech, Discovery Analytics Center3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China3
Video Analytics Laboratory, SERC, Indian Institute of Science, Bangalore, India3
MIT CSAIL3
Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai, China3
University of Waterloo, Waterloo, Canada3
Harvard University3
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Southeast University, Nanjing, China3
Clarkson University, 8 Clarkson Ave, Potsdam, New York3
Research group GOTS, Universidad Industrial de Santander, Bucaramanga, Colombia3
College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China3
Shanghai Jiao Tong University, Shanghai, 200240, China3
TAMS group, Dept. Informatics, Hamburg University. Vogt-Koelln-Strasse 30, 22527, Germany3
Mobile Robotics Group, Oxford University, UK3
School of Mathematics and Statistics, Huazhong University of Science & Technology, Wuhan, 430074, China3
Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Ltd., Pune, India3
School of Computer science and engineering, Wuhan Institute of Technology, Wuhan, China, 4300733
School of Computing Sciences, University of East Anglia, Norwich, U.K.3
Robotics, Perception and Learning Lab, KTH, Stockholm, Sweden3
College of Communication Engineering, Chongqing University, Chongqing, China3
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA3
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China3
College of Information Engineering, Zhejiang University of Technology, Hangzhou, China3
Dept. of Computer Science and Electrical Engineering, University of Missouri at Kansas City, United States of America3
Amrita Robotic Research Centre, Amrita Vishwa Vidyapeetham, School of Engineering, Bangalore, India3
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States3
School of Electrical and Information Engineering, Shanghai University of Electric Power, China3
Key Laboratory of Measurement and Control of CSE, School of Automation, Southeast University, Nanjing 210096, China3
Centre for Intelligent Signal & Imaging Research, Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS, Tronoh, Perak, 31750, Malaysia3
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong, China3
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, India3
Department of Computer Science, City University of Hong Kong, China3
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma, JAPAN 630-01923
The Chinese University of Hong Kong, Hong Kong, China3
Institute for Human-Machine Communication, TU Munich, Germany3
Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey3
Center for Bionics, Korea Institute of Science and Technology, South Korea Department of Electronic Engineering, Inha University, South Korea3
IT - Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal3
Department of Computer Science and Engineering, University of South Florida, Tampa, Florida 336203
Fac. of Comput. & Inf. Sci., Ljubljana Univ., Slovenia3
Department of Electrical and Electronic Engineering, National University of Ireland, Galway, Ireland3
Lodz University of Technology, ul. Stefanowskiego 18/22, 90-924, Poland3
Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai-600044, India3
Faculty of Computing, Engineering and Sciences, Staffordshire University, Stoke-on-Trent, U.K.3
GTÜ Bilgisayarla Görme Lab, Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye3
Faculty of Engineering and Natural Sciences, Sabanci University, Orhanli, Tuzla, 34956, Istanbul, Turkey3
Department of Electrical Engineering, University of Washington (UW)3
Université de Technologie de Compiègne (UTC), CNRS Heudiasyc UMR 7253, Compiègne, France3
Computer Engineering Department, Prince of Songkla University, Hat Yai, Thailand3
Google, New York, NY, USA3
Video/Image Modeling and Synthesis Lab, Department of Computer and Information Sciences, University of Delaware, USA3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China3
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China3
NOAA-ISET Center, Autonomous Control and IT Center, Electrical and Computer Engineering, North Carolina A&T State University, Greensboro, NC 274113
Department of Electrical Engineering, Indian Institute of Technology Kanpur, India - 2080163
Software school, Xiamen University, Xiamen, Fujian, China3
Visionlab, University of Antwerp3
University of Texas at Austin, Austin, USA3
Key Laboratory of Intellectual Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China3
ALISR Laboratory, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia3
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei 230027, China3
Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015, Switzerland3
University of Texas at Austin3
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China3
Key Laboratory of Machine Perception (Ministry of Education), Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
Department of Computer Engineering, Maharashtra Institute of Technology, Pune3
Department of Artificial Intelligence Engineering, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran3
National Chung-Shan Institute of Science and Technology, Taiwan3
ISSNIP, Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria - 3010, Australia3
School of Control Science and Engineering, Shandong University, Jinan, Shandong, P. R. China3
Institute of Imaging & Computer Vision, RWTH Aachen University, Aachen, Germany3
Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil3
Communication University of China, Beijing, 100024, China3
School of Computer Science and Technology, Nanjing Tech University, Nanjing, China3
University of Adelaide, Adelaide, Australia3
University of California, Riverside, USA3
University College London3
Multimedia and Intelligent Software Technology Beijing Municipal Key Lab., College of Computer Science, Beijing University of Technology Beijing, China.3
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China3
school of Electrical and Computer Engineering, Korea University, Seoul, Korea3
Artificial Intelligence and Information Analysis Lab/Department of Informatics, Aristotle University of Thessaloniki, University Campus, Agiou Dimitriou, 54124, Greece3
Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh India3
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, U.K.3
School of Electronics and Computer Science, University of Southampton, UK, SO17 1BJ3
Center for Research in Intelligent Systems, University of California, Riverside Riverside, CA 92521-0425, USA3
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea3
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA3
Institut Pascal - CNRS UMR6602 Université Blaise Pascal, Campus des Cézeaux, 63177 Aubière, France3
Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India3
GVU Center, Georgia Inst. of Technol., Atlanta, GA, USA3
Centre de Visió per Computador, Universitat Autònoma de Barcelona, Barcelona, Spain3
École Polytechnique Fédérale de Lausanne (EPFL), Switzerland3
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology Sydney, 81 Broadway Street, Ultimo, NSW, Australia3
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics3
University of Edinburgh, Edinburgh, United Kingdom3
Centre for Intelligent Sensing, Queen Mary University of London3
New York University, New York, NY, USA3
Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany3
Computer Science Department Technical University of Cluj-Napoca Cluj-Napoca, Romania3
New Industry Creation Hatchery Center, Tohoku University, Aza-Aoba 6-6-10, Aramaki, Aoba-ku, Sendai 980-8579, Japan3
Science and Technology on ATR Laboratory, National University of Defense Technology, Changsha 410073, China3
University of Udine, Via Scienze 208, 33100, Italy3
Department of Informatics, University of Thessaloniki, 54124, Greece3
Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, P. R. China3
CRISTAL Laboratory, GRIFT research group, National School of Computer Sciences, La Manouba University, Tunisia3
Instituto Politécnico Nacional, ESIME, Culhuacan, Mexico D.F.3
Department of Computer Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran3
Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, 200241, China3
Robotics, Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia, Genova, Italy3
National Institute of Technology Rourkela, Odisha-769008, India3
International Center of Excellence on Intelligent Robotics and Automation Research, National Taiwan University, Taiwan3
Institute for Artificial Intelligence, Department for Computer Science, University of Bremen, Germany3
TCS Research, New Delhi, India3
Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania3
University of North Carolina Wilmington, Wilmington, NC3
EURECOM, Multimedia Communications Dept., 2229 route des Cretes BP 193, 06904 Sophia Antipolis Cedex, France3
Center For Machine Vision Research, University of Oulu, Finland3
Laboratory of Intelligent Recognition and Image Processing, School of Computer Science and Engineering, Beihang University, Beijing 100191, China3
Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey3
Academy of Broadcasting Science, Beijing, China3
Khalifa University3
University of Technology, Sydney3
Annamalai university, Annamalai nagar, India3
Computer Science Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India3
Institute of Automation, Chinese Academy of Sciences, Beijing3
School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia3
Edward S. Rogers Senior Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada3
University of Firenze3
School of Electronics and Computer Science, University of Southampton, Southampton, S017 1BJ, UK3
Robotics Institute at Carnegie Mellon University, Pittsburgh, PA 15213, USA3
ISLA, Informatics Institute, University of Amsterdam, Science Park 107, 1098 XG, The Netherlands3
School of Electrical and Information Engineering, Tianjin University, Tianjin, China3
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences3
College of Information Science and Technology Beijing Normal University, Beijing Beijing, China3
Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil3
Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China3
Max-Planck-Institut für Informatik, Saarbrücken, Germany3
Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Prague 6, Czech Republic3
School of Computer Science and Educational Software, Guangzhou University, Guangzhou, China3
Département EPH, Telecom SudParis3
REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia3
State Grid Energy Research Institute, China3
Guanadong University of Technology, China3
Department of Electronics, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand3
ISR-Institute of Systems and Robotics, University of Coimbra Polo II, Coimbra, Portugal3
Air Force Research Lab, USA3
Computer & Information Science Department, Temple University, Philadelphia, PA, USA3
Faculty of Mathematics and Statistics, Hubei University, Wuhan, China3
Bilgisayar Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Istanbul, Turkey3
University of Delaware, USA3
Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Rd., TX, 77004, USA3
Computer Science Department, University of Sherbrooke, Sherbrooke, Canada3
Panasonic System Networks3
Information Technologies Institute, CERTH, Thermi-Thessaloniki, Greece3
The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong3
Dept. of Electronics & Electrical Engineering, IIT Guwahati, India3
Queensland University of Technology, Brisbane, Australia, 40003
Department of Computer Science, University of Texas at San Antonio, TX, USA3
NICTA, Canberra3
Computer Vision Center and Computer Science Dpt. UAB, Bellaterra, Spain3
CAS Center for Excellence in Brain Science and Intelligence Technology, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China3
School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), China3
Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand3
Zhejiang University3
Multimedia Laboratory, Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada3
University of Sao Paulo3
Institute of Mathematical and Computer Sciences, University of Sao Paulo, Sao Paulo, Brazil3
Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, China3
Electrical and Computer Engineering, University of Dayton, Dayton, Ohio, USA3
Université de Biskra, Biskra, Algeria3
Northwestern Polytechnical University, Xi'an, P. R. China3
BT Convergence Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700 S. Korea3
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece3
College of Engineering and Technology, Arab Academy of Science and Technology & maritime transport, Egypt3
School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China3
School of Information and Communication Engineering, Dalian University of Technology, 116024, China3
AASS Research Center, School of Science and Technology, Örebro University, S-70182, Sweden3
Department of Computer Science and Engineering, Southwest Jiaotong University, Chengdu, China3
Center for Cognitive Ubiquitous Computing (CUbiC), Arizona State University, Tempe, AZ, USA3
Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands3
The State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, China, 3100273
School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China3
Central China Normal University, China3
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore3
Academic Center for Computing and Media Studies, Kyoto University, Kyoto, 606-8501, Japan3
Indian Institute of Information Technology Guwahati, Assam, India, 7810013
Computer Graphics Laboratory, Department of Informatics and Telecommunications, University of Athens, Ilisia 15784, Greece3
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK3
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283, Germany3
Dept. of Comput. Eng., Bogazici Univ., Turkey3
Vision Lab in Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, 235293
Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France3
School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, Taegu 702-701, Republic of Korea3
Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, R.O.C3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany3
Adv. Computer Architecture Lab., University of Michigan, EECS Dept., Ann Arbor, USA3
Cyber Security Cluster, Institute for Infocomm Research, Singapore3
CVC and C. Sc. Dpt. UAB, Barcelona, Spain3
Ghent University3
Advanced Technologies Application Center, 7a #21406 b/ 214 and 216, P.C. 12200, Playa, Havana, Cuba3
Villanova University, Villanova, PA, USA3
Department of Electrical and Computer Engineering, The Johns Hopkins University, Center for Language and Speech Processing, USA3
Grupo de Investigación en Desarrollos Tecnológicos (GIDET), Programa de Tecnología en Electrónica, Facultad de Ciencias Básicas y Tecnologías, Universidad del Quindío (Colombia)3
National Electronics and Computer Technology Center, Thailand3
Shanghai Advanced Research Institute, Chinese Academy of Sciences, China3
Nanjing University of Posts and Telecommunications, China3
University of Missouri Columbia, USA3
Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China3
Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland3
School of Computer Science and Software Engineering University of Wollongong, Australia3
School of Computer Science and Technology, University of Science and Technology of China, Hefei, China3
RIKEN Center for AIP, Tokyo, Japan3
Fulda University of Applied Sciences, Fulda, Germany3
Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710072, China3
Wakayama University, Sakaedani 930, Wakayama-City 640-8510, Japan3
School of Electronics and Computer Science, University of Southampton3
Australian National University, Australia3
University of Waterloo, Canada3
University of Canberra, Australia3
WILLOW Project-Team, INRIA, and Département d’Informatique, de l’Ecole Normale Supérieure, ENS/Inria/CNRS UMR 8548, Paris, France3
The Graduate Center, USA3
Department of Pervasive Computing, Tampere University of Technology, Tampere, Finland3
Phonexia, Brno-Krlovo Pole, Czech Republic3
Expert Systems, Modena, Italy3
Chair of Complex & Intelligent Systems, University of Passau, Passau, Germany3
College ofcomputer science and technology, Harbin engineering university, 150001, China3
Guangdong Key Laboratory of Big Data Analysis and Processing, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China3
Institute for Creative Technologies, University of Southern California, 12015 E Waterfront Dr, Los Angeles, CA, USA3
Universidade de Pernambuco (UPE), Recife, Brazil3
Institute for Information Processing, Leibniz University Hanover, Hanover, 30167, Germany3
Faculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, SI-1000 Ljubljana, Slovenia3
Research and Technology Center, Robert Bosch LLC, Palo Alto, CA, USA3
Shenzhen Key Laboratory of Media Security, Shenzhen University, Shenzhen, China3
Instituto de Telecomunicações, Instituto Superior Técnico - Universidade de Lisboa, Lisbon, Portugal3
Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China3
Department of Computer Science, Faculty of Science, Khon Kaen University, Maung, Khon Kaen, Thailand, 400023
Dep. of Computer Science, Technical University of Munich, Boltzmannstrasse 3 85748 Garching, Germany3
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, 34342 Bebek, İstanbul, Turkey3
Tsinghua University, Beijing,China3
Media & Inf. Res. Labs., NEC Corp., Kanagawa, Japan3
Università Politecnica delle Marche (Italy)3
Image and Video Systems Laboratory, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Institute for Infocomm Research, A∗STAR, Singapore3
School of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang, China3
Department of Electrical Engineering , University of California, Los Angeles (UCLA), Los Angeles, USA3
Shenzhen Key Lab. of Information Sci&Tech, Shenzhen Engineering Lab. of IS&DRM, Dept. of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, China3
The University of Sheffield, Sheffield, UK3
Dept of Computer & Information Science Indiana University-Purdue University Indianapolis, IN, United States3
Department of Mechanical Engineering and Intelligent Systems, Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu-shi, Tokyo, Japan3
The Third Research Institute of the Ministry of Public Security, Shanghai, China3
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan3
Department of Automation and Remote Control; Perm National Research Polytechnic University; Perm, Russia3
Institute for Information Industry3
Smart Media Research Center, Korea Electronics Technology Institute, Seoul, Korea3
Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Italy3
University of Tübingen, Tübingen, Baden-Württemberg, Germany3
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Republic of Korea3
State Key Laboratory of ASIC and System, Fudan University, No. 825 Zhangheng Road, Shanghai, 201203, China3
NICTA, Canberra ACT, Australia and CECS, Australian National University, Australia3
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China3
Universidade NOVA Lisboa, Lisbon, Portugal3
Research Center of Intelligent Robotics, Shanghai Jiao Tong University, Shanghai 200240, P.R China3
People’s Public Security University of China, Beijing, China3
National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences, Beijing, China3
ISPR Lab., Department of Computer Science, Faculty of Mathematics, Shahid Behshti University, Tehran, Iran3
Google Inc., Mountain View, CA, USA3
The University of Newcastle, Merz Court, Newcastle upon Tyne, NE1 7RU, United Kingdom3
ESAT-PSI / iMinds, KU Leuven, Belgium3
Institute of Image Transmission and Information Processing Shanghai Jiao Tong University3
Army Research Laboratory, Adelphi, Maryland, United States of America3
Department of Software Engineering, ChongQing College of Electronic Engineering, China3
LEAR team, Montbonnot3
Department of Electrical, Electronics and Computer Engineering, University of Catania, Catania, Italy3
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing 100190, China3
Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon3
NLPR, Institute of Automation, Chinese Academy of Sciences3
School of Computer Science, The University of Adelaide, Adelaide, SA, Australia3
Department of Control Science and Engineering, Tongji University, Shanghai, China3
University of Texas, Arlington3
University of Delaware, Newark, USA, 197163
Tokyo Institute of Technology, Tokyo, Japan3
National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, Shaanxi, 710049, China3
International Center of Excellence on Intelligent Robotics and Automation Research, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, Taiwan 1063
Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, China3
University of Newcastle, Australia3
Group of Biometrics, Biosignals and Security, GB2S, Centro de Domótica Integral, Universidad Politécnica de Madrid, Campus de Montegancedo. Pozuelo de Alarcón, 28223, Madrid3
Intel Labs Pittsburgh, USA3
Media IC and System Lab, Graduate Institute of Electronics Engineering and Department of Electrical Engineering, National Taiwan University, Taiwan3
Aristotle University of Thessaloniki, Greece3
Tokyo Institute of Technology3
Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA3
School of Electronics and Information Technology, Sun Yat-Sen University, Guangdong, Republic of China3
BITS Pilani, Pilani , India3
School of Automation, Northwestern Polytechnical University, Xi’an, China3
iHomeLab, Lucerne University of Applied Sciences and Arts, Switzerland3
Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Poland3
Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil3
School of Electrical and Electronic Engineering, Singapore3
IRIP Laboratory, Beijing Key Laboratory of Digital Media, Beihang University, Beijing 100191, China3
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway3
Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid, Spain3
Facebook Inc., San Francisco, CA, USA3
Mobile Robotics Lab (LabRoM), São Carlos School of Engineering (EESC), University of São Paulo, Av. Trabalhador Sancarlense 400, Brazil3
College of Computer Science and Information Technology, Northeast Normal University, Changchun, China3
SAGE, Advanced Systems in Electrical Engineering, Tunisia3
School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, P.R. China3
University of Tübingen3
Distributed and Collaborative Virtual Environments Research Laboratory (DISCOVER), School of Information Technology and Engineering, University of Ottawa, K1N 6N5, Canada3
Department of Computer Science and Information Engineering, Tamkang University, New Taipei, Taiwan3
Intelligent Robotics and Communication Laboratories, ATR, Japan3
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Japan3
School of Automation, HangZhou DianZi University, HangZhou, 3100003
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France3
Department of Computer Sciences, University of Salzburg J.-Haringerstr.2, 5020 Salzburg, Austria3
Department of Clinical Psychology and Psychotherapy, University of Tübingen, Tübingen, Germany3
Technische Universität Berlin, Berlin, Germany3
Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea3
School of Electrical Engineering and Computer Science (EECS), University of Ottawa, Canada3
School of Electronics and Physical Sciences, University of Surrey, Guildford, UK3
College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei, 443002, China3
National Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University Chengdu, 610065, China3
Institute of Forensic Science, Ministry of Justice, Shanghai 200063, China3
Department of Computer Science, ETH Zürich, Switzerland3
Tsinghua University, Dept. of Computer Science and Technology, Beijing, China3
Dept. of Computer Science, University of Maryland, College Park, MD, USA3
University of Maryland3
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications and Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry ...3
Key Laboratory of Child Development and Learning Science of Ministry of Education, Southeast University, Nanjing, China3
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, China3
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China, 1001903
Dept. of Neuroinformatics, Ilmenau Tech. Univ., Germany3
Machine Vision and Pattern Recognition Research Group, Lappeenranta University of Technology, Finland3
Biometric Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul, 120-749, Korea3
Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany3
Visual Information Processing Laboratory, Department of Electronics Engineering, Tsinghua University, China3
NICTA, Queensland, Australia3
Department of Information and Communication Engineering, INHA University, Incheon, Korea3
National Laboratory of Pattern Recognition, Institute of Automation, Beijing, China3
ATR Intelligent Robotics and Communication Labs., Kyoto, Japan3
Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University, JAPAN3
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech. Bangalore-560060, India3
Department of Computing, Curtin University, Perth, Australia3
Institute of Computing, University of Campinas, SP, Brazil3
Integrated Information System Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China3
Computer Engineering Department, Eastern Mediterranean University, Gazima¿usa, Northern Cyprus3
Department of Electrical and Information Engineering, University of Gadjah Mada, Indonesia3
Indian Institute of Technology Bombay, Mumbai, India3
University of Ljubljana, Slovenia3
University of Salerno, Fisciano, Italy3
Shenyang Institute of Automation, Chinese Academic of Sciences, Key Lab of Image Understanding and Computer Vision, The Key Laboratory of Optical Electrical Image Processing, Shenhe District, Shenyang, Liaoning, China3
Norwegian University of Science and Technology, Gj⊘vik, Norway3
Institute of Neural Information Processing, University of Ulm, Germany3
Medical Psychology, Department Psychosomatic Medicine and Psychotherapy, University of Ulm, Germany3
University of Michigan3
TAMS group, Dept. Informatics, University of Hamburg. Vogt-Koelln-Strasse 30, 22527, Germany3
Australian Centre for Field Robotics, The University of Sydney, Australia3
Department of Electrical Engineering, Tokyo University of Science Chiyoda-ku 102-0073 Tokyo, Japan3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China3
College of Electronic Information Engineering, South-Central University for Nationalities, Wuhan, China3
Department of Computer Science and Information EngineeringCommunications and Multimedia Laboratory, National Taiwan University, Taipei, Taiwan3
Florida International University, Miami, FL3
Software Solution Laboratory, Samsung Advanced Institute of Technology, Suwon-si, South Korea3
Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia3
University of Information Technology, Vietnam3
School of Engineering, Griffith University, Nathan, QLD, Australia3
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA3
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY3
School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu Province, 21189, China3
School of Mechanical Engineering, University of Science and Technology Beijing, USTB, Beijing, China3
Signal and Information Processing Laboratory, Beijing University of Technology, China3
EECE Department - Cairo University, Giza, Egypt3
Dept. of Cybernetics and Artificial Intelligence, FEI TU of Košice, Slovak Republic3
School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi 394063
Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India3
Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia3
School of Electrical and Electronic Engineering, Yonsei University3
Department of Aerospace Engineering, Institute for Autonomous Systems Technology, University of the Bundeswehr Munich, Germany3
Multimedia Lab., Toshiba Corp., Kawasaki, Japan3
Applied Computing Department The University of Buckingham Buckingham, United Kingdom3
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea3
Key Laboratory of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China3
Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China3
College of Electronic Science, National University of Defense Technology, Changsha, Hunan, China3
University of Minnesota3
School of Computer, Shenyang Aerospace University, Shenyang, China3
Washington University in St Louis, USA3
eScience Institute, University of Washington, Seattle, Washington United States3
National Engineering School of Sfax, REGIM (DGRST 01/UR/11-02), University of Sfax, Tunisia3
ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.3
Curtin University Bentley, Western Australia3
Univ. Pierre & Marie Curie, ISIR - CNRS UMR 7222, F-75005, Paris - France3
Dept. of ECE, Seoul National University, Seoul, Korea3
Daimler Center for Automotive Information Technology Innovations (DCAITI), Berlin, Germany3
Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, Germany3
Department of CSE, RMK Engineering College, Chennai3
Australian National University3
Department of Automation, Tsinghua University, 100084 Beijing, China3
Department of Mathematics and Statistics, University of Electronic Science and Technology of China , Chengdu, China3
Department of Computer Science and Engineering, Jadavpur University, Kolkata-32, India3
School of Computer Science and Engineering, Beihang University, China3
School of Information Security Engineering, Shanghai Jiaotong University, No. 800 Dong Chuan Rd., 200240, Shanghai, China3
School of Information Science and Electrical Engineering, Kyushu University, Japan3
Dept. of Electrical Engineering, Indian Institute of Technology, Hyderabad3
Centre of Artificial Intelligence, School of Software, FEIT, University of Technology, Sydney, Australia3
Xiamen University of Technology, Xiamen, China3
University of Denver, CO 80208, USA3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia3
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China3
Graduate School of Engineering, Tokyo University of Science, 125-8585, Japan3
Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China3
Department of Electrical and Computer Engineering, McGill University, Montréal, QC, Canada3
Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India3
Department of Computer Science, University of Rochester, Rochester, NY, USA3
Columbia Univeristy, New York, NY, USA3
Elektrik ve Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye3
University of Freiburg, Computer Science Institute, D-79110, Germany3
Center for Intelligent and Networked Systems, Department of Automation, TNLIST, Tsinghua University, Beijing 100084, China3
Heudiasyc Lab., UMR, Sorbonne universités. Université de technologie de Compièegne, CNRS, Compiègne, 7253, France3
Department of Electrical and Computer Engineering3
AKiiRA Media Systems Inc., Palo Alto, CA, USA3
Department of Computer Science, South Asian University, New Delhi, India3
Department of Electrical and Computer Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146, USA3
Center for Information Technology, UPES, Dehradun, India3
Oregon State University, Corvallis, OR, USA3
Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland3
Department of Electrical and Computer Engineering, University of Denver3
Department of Electrical Engineering, Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden3
LEMCO (INRETS), 14 route de la minière, building 824, 78000 Versailles - Satory, France3
Tongji University, China3
School of Automation Science and Engineering, South China University of Technology, Guangzhou, China3
Department of Electrical Engineering, University of California, Riverside, 925213
Toyohashi University of Technology, Japan3
Department of Computer and Information Sciences, Temple University, Philadelphia, USA3
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, France3
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China3
School of Computer Software, Tianjin University, Tianjin, China3
School of Electrical and Computer and Telecommunications Engineering, University of Wollongong, North Wollongong, NSW 2522 Australia3
LaBRI, University of Bordeaux, UMR 5800, F-33400 Talence, France3
Otto-von-Guericke University of Magdeburg, Magdeburg, Germany3
Department of Computer Science & Technology, Tongji University, Shanghai, P. R. China3
College of Information Science and Engineering, Ritsumeikan University, Shiga, 525-8577, Japan3
UNC Charlotte, Charlotte, NC, USA3
School of Computing Science and Engineering, VIT University, Vellore, India3
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin 150080, China3
Department of Computer Science, National University of Singapore, Singapore3
School of Electrical and Electronic Engineering’ Yonsei University, Seoul, 03722, South Korea3
Advanced Technologies Application Center (CENATAV), 7A ♯21406 Siboney, Playa, P.C.12200, Havana, Cuba3
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, China3
Dept. of Electronic Engineering, Daegu University, Gyeongsan-City, 38453, South Korea3
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, China3
The Univ of Hong Kong, China3
AGH University of Science and Technology Krakow, Poland3
Sorbonne Universités, Université de Technologie de Compiègne, CNRS, Heudiasyc Laboratory, France3
Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada3
National Engineering Laboratory for Speech and Language Information Processing, University of Science and Technology of China, Hefei, Anhui, China, 2300273
Department of Computer Science and Engineering, Michigan State University, USA3
Rutgers University, Piscataway, USA3
Kentkart İzmir, TÜRKİYE3
Los Angeles, CA3
Electronics and Communication Dept., Sarvajanik College of Engineering and Technology, Surat, India3
Department of Informatics, Aristotle University of Thessaloniki, 54124, Greece3
School of Computer Science, Beijing Institute of Technology, China3
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, China3
Faculty of Computer, Guangdong University of Technology, Guangzhou, China3
Chinese University of Hong Kong, Hong Kong, China3
Laboratory for Intelligent and Safe Automobiles (LISA), University of California San Diego, La Jolla, CA, USA3
Key Laboratory of Machine Perception(MOE), Peking University, Beijing 100871, China3
School of Technology, Nanjing Audit University, Nanjing, China3
School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China3
School of Electronics and Information, Hangzhou Dianzi University, Hangzhou, China3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, China3
Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, 565-0871 Japan3
Department of Electronic Engineering, The University of Electro-Communications, Tokyo 182-8585, Japan3
Dept. of Electrical and Computer Engineering & Centre for Intelligent Machines, McGill University, Montreal, Quebec, Canada3
Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, 28933 Móstoles (Madrid), Spain3
Department of Computer Science, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea3
School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia3
School of Engineering and Computer Science, Victoria University of Wellington, P.O. Box 600, Wellington 6140, New Zealand3
Department of Computer Science and Technology, Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University, Shanghai, China3
Dept. of Computer Science, Suez Canal University, Ismailia, Egypt3
School of Information Science and Technology, East China Normal University, Shanghai, China3
College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan3
Department of Computing, Curtin University, Western Australia, WA 61023
Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan City, Taiwan3
Department of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, Tyne and Wear3
Department of Teleinformatics Engineering, Universidade Federal do Ceará, Fortaleza, CE, Brazil3
School of Artificial Intelligence, Xidian University, China3
School of Computer and information, HeFei University of Technology, Hefei, China3
National University of Defense Technology, Changsha, Hunan Prov., China3
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Learning and Digital Technology, Fo Guang University, Yilan, Taiwan3
DIEGM - University of Udine, Via Delle Scienze, 208 - 33100 - Italy3
Institute of Industrial Science, The University of Tokyo3
Department of Computer Science, Pacific Lutheran University, Tacoma, WA, USA3
Computer Science and Engineering, Universite du Quebec en Outaouais, Gatineau, Canada3
School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China3
TU Braunschweig, Institute of Control Engineering, Germany3
Department of Computer Science, Hong Kong Baptist University, Kowloon, Hong Kong3
Faculty of Information Science and Engineering, Ningbo University, Ningbo, China3
Beijing Institute of Graphic Communication, Beijing3
Indian Institute of Science, Bengaluru, India3
Department of Computer Science, University of Toronto, ON M5S, Canada3
Dept. of Computer Sciences, ASIA Team, Moulay Ismail University, Faculty of Science and Techniques, BP 509 Boutalamine 52000 Errachidia, Morocco3
University of Edinburgh, UK3
Electrical Engineering Department, Vision and Pattern Recognition Systems Research Group, Capital University of Science and Technology, Islamabad, Pakistan3
Université du Québec à Chicoutimi (UQAC)3
College of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, China, 3000723
School of Systems Engineering, University of Reading, Reading, United Kingdom, RG6 6AY3
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA3
Shanghai Jiao Tong University & Alibaba Group, Shanghai, China3
EUP Mataró, Spain3
Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK3
Image and Video System Laboratory, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-732 Korea3
College of Engineering, Huaqiao University, Quanzhou, China3
The University of Texas at Arlington3
School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China3
Alibaba, Hangzhou, China3
Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak, Kuala Lumpur, Malaysia 531003
School of Information Technology and Electrical Engineering, The University of Queensland3
School of Information Science and Technology, Xiamen University, Xiamen, P. R. China3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China3
School of Information science and Engineering Central South University Changsha, Hunan 410083, China3
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China3
Multimedia Communication and Pattern Recognition Lab, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China3
Computer Science Department, Texas State University, San Marcos, TX, USA3
Institute of Computer Science VI, University of Bonn, Germany3
Faculty of Telecommunications, TU-Sofia3
University Of Washington3
Geospatial Laboratory, Universidad Católica del Maule, Talca, Chile3
School of ECE, Peking University Shenzhen Graduate School, Shenzhen, China3
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana USA3
Department of Computer Science, The State University of New York at Binghamton, Binghamton, NY, USA3
College of computer, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China3
IT University of Copenhagen, Copenhagen, Denmark3
FDNA inc., Herzliya, Israel3
Learning Affect and Semantic Imaging (LASII) Group, Indian Institute of Technology Ropar, India3
Faculty of Engineering, University of Fukui, Japan3
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China3
Software School, Shenyang University of Technology, China3
University of North Carolina Wilmington, USA3
Advanced Virtual and Intelligent Computing (AVIC) research center, Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand3
Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China3
Dept. of Computer Science and Electrical Engineering, University of Missouri-Kansas City, MO, USA3
HCC Lab, Vision & Sensing Group, University of Canberra, Australia3
University of Burgundy, Le2i, BP 47870 21078 Dijon, France3
Department of Computer Science and Engineering, POSTECH, Korea3
CNRS, UMR 5516, Laboratoire Hubert Curien, F-42000, Saint-Étienne, France3
School of Information Science and Engineering, Xiamen University, Xiamen 361005, China3
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar-799022, Tripura (W), India3
Department of Computer, Science Seattle University, WA, USA3
NOAA-ISET Center, Autonomous Control and IT Center, Electrical and Computer Engineering, North Carolina A&T State University, Greensboro, 27411, USA3
Aristotle University of Thessaloniki, Department of Informatics, Box 451, 54124 Thessaloniki, Greece3
Department of Electrical Engineering, National Taipei University, New Taipei City, Taiwan3
Institute of Information Science, Beijing JiaoTong University, 100044, China3
Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan3
Sabanci University, Turkey3
Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Reggio Emilia, Italia3
NTT Corporation, Atsugi, Japan3
State Key Laboratory of Management and Control for Complex Systems, Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China3
Computer Graphics and Immersive Technologies (CGIT) laboratory of Computer Science department, University of Southern California, CA, USA3
University of Buckingham, Buckingham, United Kingdom3
School of Computer Science and Technology, Hubei University of Science and Technology, P. R. China3
Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beersheba, Israel3
Department of Radiology and the Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA3
Department of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou, China3
School of Information Science and Engineering, Ocean University of China, Qingdao, China3
University of Technology, Sydney, Australia3
University of Melbourne, Australia3
Escuela de Ingeníeria Informática, Universidad Católica de Temuco, Temuco, Chile3
Oxford Brookes University, Oxford, UK3
Harbin Institute of Technology Shenzhen Graduate School, 518055 Guangdong China3
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany3
State Key Lab. LIESMARS, Wuhan University, China3
Multimedia Department, EURECOM, 2229 Route des Cretes, 06560 Sophia-Antipolis, France3
State Key Laboratory on Intelligent Technology and Systems, National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, China3
Department of Computer Graphics and Multimedia, Universiti Teknologi Malaysia, Johor Bahru, Malaysia3
School of Electronic and Information Engineering, South China University of Technology, Guangzhou, Guangdong, China3
Computer Vision Lab, Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando3
LIP, UPMF, Grenoble, Cedex3
University of Milan, Italy3
IDIAP Research Institute, Martigny Lausanne3
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, USA3
Department of Computer Engineering, Istanbul Technical University, Istanbul, Turkey3
Department of Mechanical Engineering, Ajou University, Suwon, Korea3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, China3
Dublin City University, Dublin, Ireland3
School of Computer Science and Software Engineering, University of Wollongong, Wollongong, Australia3
Australian Center for Visual Technologies, and School of Computer Science, The University of Adelaide, Adelaide, Australia3
Keio University, Yokohama, Japan3
SoC Platform Research Center, Korea Electronics Technology Institute, Yongin and Sungnam, Republic of Korea3
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong3
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R. China3
Dept. of Inf. Technol., Univ. of Turku, Finland3
Department of Electronic Measuring systems, Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Moscow, Russia3
Image and Video Systems Lab, Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea3
Department of Information Technology, Dharmsinh Desai University, Nadiad, India3
NICTA and School of ITEE, The University of Queensland, Level 5, Axon Building, Staff House Rd, St Lucia, The University of Queensland, Australia3
KDDI R&D Laboratories Inc., Fujimino, Saitama, Japan3
University of California, at Berkeley3
Department of Computer Science, TU Darmstadt, Darmstadt, Germany3
Faculty of Engineering, Department of Electrical Engineering, Aswan University, Egypt3
Institute for Human-Machine Communication, Technische Universität München3
Department of Electronics Information Engineering, Xi'an Technological University, China3
Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, India3
Department of Industrial Engineering, Università degli Studi di Salerno, Italy3
MIT Lincoln Laboratory, 244 Wood Street, Lexington, MA 024203
Dalian University of Technology, School of Software Tuqiang St. 321, Dalian, 116620, China3
Mitsubishi Electric Research Labs (MERL), Cambridge, Massachusetts, USA3
University of California, Santa Barbara3
Shenzhen Graduate School, Peking University, Shenzhen, China3
Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany3
Faculty of Informatics, Technische Universitat München, 85748 Garching, Germany3
School of Communication Engineering, Hangzhou Dianzi University, China3
School of Computer Science, Hubei University of Technology, Wuhan, China3
School of Electrical and Computer Engineering, University of Electronic Science and Technology of China, Chengdu, China3
Pompeu Fabra University, Barcelona3
University of Kent, Canterbury3
TELECOM & Management SudParis, Evry3
School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland3
Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand3
Michigan State University, East Lansing, 48824, USA3
Department of Computer Science and Technology, Huaqiao University, Xiamen, China3
Data Science Department EURECOM, Biot, France3
Department of Computer and Information Science, Fordham University, Bronx, NY 10458, USA3
Department of Political Science, Communication, Engineering and Information Technologies, University of Sassary, Italy3
Harvard University, Boston, MA, USA3
Department of Information Engineering at the University of Padua, Italy3
Aalto University, Helsinki, Finland3
Graduate Institute of Networking and Multimedia, National Taiwan University, Taiwan3
School of Electronic & Information Engineering, South China University of Technology, China3
Institute of Technology and Science, Tokushima University, 2-1 Minamijyousanjima, 770-8506, Japan3
Norwegian Biometrics Laboratory, NTNU - Gjøvik, Norway3
Osaka University Osaka, Japan3
Centre for Research and Technology Hellas, Thessaloniki, Greece3
LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, 75013, France3
Media Integration and Communication Center, University of Florence, Florence, Italy3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, China3
School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea3
Radboud University Nijmegen, Nijmegen, The Netherlands3
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China 4300743
City University of Hong Kong, Hong Kong, Hong Kong3
Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia3
Chinese Academy of Sciences, China3
Vision Laboratory, LARSyS University of the Algarve, Faro, Portugal3
Department of Computer Engineering, Sejong University, Seoul, 143-747, Korea3
Mobile Robots Research Lab., Faculty of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 15875-4413, Iran3
UtopiaCompression Corporation, 11150 W. Olympic Blvd, Suite 820, Los Angeles, CA 90064, USA3
Chubu University, Japan3
Dept. of Comput. Sci., London Univ., UK3
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore and the ST Engineering - NTU Corporate Lab, Nanyang Technological University, Singapore3
Computer Science Department, University of Technology, Baghdad, Iraq3
Research Institute of Computer Science and Technology, Ningbo University, China, 3152113
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China3
Key Laboratory of Machine Perception (Ministry of Education) Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, China3
GREYC Laboratory, ENSICAEN - Université de Caen Basse-Normandie - CNRS, ENSICAEN 6, boulevard maréchal Juin 14050 Caen Cedex 4 FRANCE3
School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, CO 130012 China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China3
School of Automation, Wuhan University of Technology, Wuhan, China3
Department of Computer Engineering, Uka Tarsadia University, Bardoii, India3
Biometrics Res. Lab., Univ. Politecnica de Madrid, Spain3
School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, 75080, USA3
FZI Research Center for Information Technology, Karlsruhe, Germany3
Universidade de São Paulo, São Paulo, São Paulo3
School of Software Engineering, Chongqing University, 401331, China3
Delft University of Technology, Delft, The Netherlands3
National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China3
The Hong Kong Polytechnic University, Hong Kong, P. R. China3
Osaka University3
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University3
University of Southern California, and USC Institute for Creative Technologies3
Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan3
INRIA Grenoble Rhône-Alpes Research Center, 655 avenue de l'Europe, 38 334 Saint Ismier Cedex, France3
School of Computing, Informatics, Decision System Engineering, Arizona State University, Tempe, AZ, 85287, USA3
Katholieke Universiteit Leuven3
LIASD research Lab., University of Paris 8, 2 rue de la Liberté, 93526 Saint-Denis cedex, France3
Ubiquitous Computing, Lab, Kyung Hee, University, Korea3
Computer Sci. & Tech. Dept., Tsinghua University, Beijing 100084, P. R. China3
Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany3
Faculty of Computer and Information Science, University of Ljubljana, Trřaška 25, Slovenia3
National Institute of Standards and Technology, Gaithersburg, MD, USA3
Indian Institute of Information Technology, Allahabad-211012, India3
CENTRALESUPELEC/IETR UMR6164, Team FAST (Facial Analysis, Synthesis and Tracking) Avenue de la Boulaie, 35576, Cesson-Sévigné, France3
Department of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, Windsor, N9B 3P4, Canada3
University of Texas at Arlington, Arlington, TX, 760193
School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, China3
National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China, 1001903
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China3
Department of CS&E, Indian Institute of Technology, Madras, India3
Computer Science and Electrical Engineering of GSST, Kumamoto University, Japan3
CRIStAL (UMR CNRS 9189) - Lille 1 University - Villeneuve d'Ascq, France3
Computer Engineering, Rochester Institute of Technology, New York 14623-5603, United States of America3
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P.R China3
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, P.R China3
CVPR Unit, Indian Statistical Institute, Kolkata 700108, India3
Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Andhra Pradesh, India 5022053
Universiti Teknologi Malaysia3
Xerox Research Center in Webster, NY 14580, USA3
Faculty of Mechanical Maritime and Materials Engineering, Delft University of Technology, The Netherlands3
School of Engineering and Technology, University of Hertfordshire, Hatfield, AL10 9AB, UK3
University of Manitoba, Winnipeg, Canada3
School of Electronics and Information Engineering, Beihang University, and National Key Laboratory of CNS/ATM, Beijing, 100191, P. R. China3
MICC - Media Integration and Communication Center, University of Florence3
Institut Mines-Télécom/Télécom Lille, Laboratoire d'Informatique Fondamentale de Lille, Lille LIFL UMR, France3
Electrical and Computer Engineering3
State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China3
Disney Research Pittsburgh, Pittsburgh, PA, USA3
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science, Beihang University, Beijing, China3
Information Engineering School, Zhengzhou University, China3
School of Automation, Southeast University, Nanjing 2100963
Dept. of Electronics and Information Engineering, Huazhong Univ. of Science and Technology, China3
Yonsei University, Seoul 03722, South Korea3
Univ. Bordeaux, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France3
University of California Santa Barbara3
National Laboratory of Pattern Recognition CAS Center for Excellence in Brain Science and Intelligence Technology Institute of Automation, Chinese Academy of Sciences, 100190, China3
University of Paris 8 - Vincennes, Saint-Denis3
Center for Research on Intelligent Perception and Computing, Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences3
Sfax University, Tunisia3
Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana, USA3
Tianjin University, China3
School of Automation, Huazhong University of Science and Technology, Wuhan, China3
Dept. of Electrical & Computer Engineering, University of Auckland, Auckland, New Zealand3
Department of Computer Science, Punjabi University, Patiala, India3
College of Science Shengyang, Ligong University, Shenyang, 110159, China3
School of Computer Science, Carnegie Mellon University, Pittsburgh, USA3
Graduate School of Shenzhen, Tsinghua University, Beijing, China3
Institute for Advanced Computer Studies, University of Maryland, College Park, USA3
College of Computer Science, Nanjing University of Science and Technology, 210094, China3
Graz University of Technology, Graz, Austria3
MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, China3
Department of Electrical and Computer Engineering, University of Windsor, Canada3
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Tronoh, Malaysia3
University of Chinese Academy of Sciences & Chinese Academy of Sciences, Beijing, China3
Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai 200433, China3
Bar Ilan University, Ramat Gan, Israel3
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China3
Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, CEP 21945-970, Brazil3
Information Technologies Institute, Centre of Research & Technology - Hellas, Thessaloniki 57001, Greece3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast, BT7 1NN, United Kingdom3
R&D Centre Algoritmi, School of Engineering, University of Minho, Portugal3
Georgia Institute of Technology, Atlanta, GA3
National Laboratory for Parallel and Distributed Processing, School of Computer, College of Computer, National University of Defense Technology, Changsha, China3
IMAGO Research Group, Universidade Federal do Paraná, Brazil3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central, Lancashire, Preston PR1 2HE, United Kingdom3
Key Laboratory of System Control and Information Processing, Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai, China3
Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China3
Sharif University of Technology, Tehran, Iran3
Laboratoire d' Imagerie, de Vision, et d'Intelligence Artificielle, École de Technologie Superiéure ( ÉTS), University of Quebec, 1100, rue Notre-Dame Ouest, Montreal, Canada, H3C 1K33
Department of Computer Science, Hong Kong Baptist University, Hong Kong, China3
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070 Koblenz, Germany3
Data Analytics Technology & Applications Research Institute, Institute for Information Industry3
Dept. of Computer Engineering of Keimyung University, Daegu 704701 S. Korea3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States3
Intel Labs China, Beijing, China3
Department of Computer Science and Operations Research, University of Montreal, Canada3
School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China3
Faculty of Electronics and Computer Sciences University of Sciences and Technology Houari Boumediene Algiers, Algeria3
Computer and Automation Research Institute, Hungarian Academy of Sciences, Hungary3
D.I.I. - University of Modena and Reggio Emilia, Italy3
School of Mathematical Sciences, Xiamen University, Xiamen, China3
Software School, Xiamen University, Xiamen, China3
INRIA, Rocquencourt, France3
Department of Computer Science and Engineering, Fudan University, Shanghai, China3
Institute of Mathematics and Computer Sciences, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil3
Amirkabir University of Technology, Tehran, Iran3
Dept of CSE, IIT, Guwathi, India3
Chongqing University, Chongqing, China3
SICISI unit, ESSTT, University of Tunis, 5 Av. Taha Hussein, I008, Tunis, Tunisia3
Department of Electrical and Computer Engineering, University of Missouri, MO, 65211, USA3
Intelligent Data Center, School of Mathematics and Computational Science, Sun Yat-sen University, Guangzhou, China3
Carnegie Mellon University, Pittsburgh, PA3
Department of Electrical Engineering, IIT Delhi, New Delhi, India3
Guangdong Key Lab of Comp. Vis. & Vi. Real., Shenzhen Institutes of Advanced Technology, CAS, China3
Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia3
NEC Soft, Ltd., 1-18-7 Shinkiba, Koto-ku, Tokyo 136-8627, Japan3
School of Computer Science and Software Engineering, The University of Western Australia, Crawley, Australia3
Department of Electrical Engineering Isfahan University Isfahan, Iran3
Digital Imaging Research Centre, Kingston University Kingston-upon-Thames KT1 2EE, UK3
Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213 USA3
Computer Science, University of Houston, Texas 77004, United States of America3
LIIAN Laboratory, Department of Informatics, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco3
Shanghai Institute of Applied Physics, Chinese Academy of Science, China3
Mando Softtech India Pvt. Ltd., Gurgaon, India3
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China3
Dept. of Electronics and Comm., M.S. Ramaiah Inst. of Tech., Bangalore - 560054, India3
Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil3
Dept. of Computer Science and Engineering, University of Notre Dame3
School of Communication and Information Engineering, Beijing University of Posts and Telecommunications, Beijing, China3
School of Computer Science and Communication Engineering, Guangxi University of Science and Technology, Liuzhou, 545006 China3
Cognitive Science Department, School of Information Science and Engineering, Xiamen University, Xiamen, China2
Bio-computing research center, Shenzhen Graduate School Harbin Institute of Technology, China2
San Jose State University, Department of Computer Science, San Jose, CA, U.S.A.2
IRIB University, 19395-1746, Niayesh Ave., Tehran, Iran2
Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 1175762
Harvard University, Cambridge, MA, USA2
U2IS, ENSTA ParisTech, Université de Paris-Saclay, 828, Bd des Maréchaux, 91762 Palaiseau CEDEX - France2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, MO, USA2
Michigan State University, East Lansing, MI, U.S.A.2
Department of Electrical Engineering, Universidad de Chile, Av. Tupper 2007, Santiago, Chile2
University of Seville , Seville, Spain2
Institute of Image & Graphic, Computer Science Department of Sichuan University, Chengdu, 610064, China2
Department of Electrical Engineering, Indian Institute of Technology Kanpur, UP, India 2080162
Ritsumeikan University, Kasatsu-shi, Japan2
Dept. of Computer Science & Engineering, University of South Florida, Tampa, 33620, United States of America2
Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, Korea2
Department of Electronics and Communication, R.V. College of Engineering, Bangalore, India2
University of Massachusetts-Amherst, Amherst, MA, USA2
Dept. of CSE, Indian Institute of Technology Guwahati, Guwahati, Assam, India2
Technical University of Catalonia, Barcelona, Spain.2
Faculty of Computer and Information Technology Engineering, Qazvin branch, Islamic Azad University, Iran2
Dept. of Electronics and Communication, MSRIT, Banglore, India2
Computer Engineering Program, University of Virginia, Charlottesville, Virginia 229042
Department Informatik, Hamburg University of Applied Sciences, Hamburg, Germany2
Department Informatik, Hamburg University of Applied Sciences, Engineering and Computing, University of the West of Scotland2
Robotics Institute at Carnegie Mellon University, USA2
Center for Machine Vision and Signal Analysis (CMVS), University of Oulu, Oulu, Finland2
Siemens Corporate Technology, Princeton, NJ, USA2
University of Siena, Siena, Italy2
Department of Computer Science, University of California at Irvine, Irvine, CA, USA2
Peking University Shenzhen Graduate School & Peking University, Beijing, China2
Computer Vision and Robotics Research Laboratory, University of California San Diego, United States of America2
School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea2
Nanyang Technological University, Block N4, Nanyang Avenue, Singapore2
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China, 2100942
Department of Computer Science, University of Indonesia, Depok 16424, Indonesia2
College of Information Engineering, Shanghai Maritime University, Shanghai, China2
Dept. of Electrical Engineering, National Tsing-Hua University, Taiwan2
Foundation for Research and Technology--Hellas (FORTH), Heraklion, Greece2
Faculty of Engineering, Bar Ilan University, Israel2
Charles Perkin Centre, Faculty of Medicine, University of Sydney, Australia2
Charles Perkin Centre, Faculty of Engineering, University of Sydney, Australia2
Dept. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu, Taiwan2
Samsung Research America2
U. of California, Santa Barbara, USA2
Laboratory of Computer, Vision and Media Technology (CVMT), at Aalborg University, Niels Jernes, Vej 14, Aalborg, Denmark2
Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine2
State Key Laboratory on Microwave and Digital Communications, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, CHINA2
School of Computer Science, Northwestern Polytechnical University, Xian, Shaanxi, China2
Intel Corporation, Singapore, Singapore2
School of Software Engineering, Beijing University of Technology, P.R. China2
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong2
Centre for Development of Advanced Computing (CDAC), Kolkata, India2
Department of Electrical and Computer Engineering, University of Massachusetts, 285 Old Westport Road, North Dartmouth, MA, 02747, USA2
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, China2
The University of Alberta, Canada2
Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria2
Charles Sturt University, Wagga Wagga NSW, Australia2
Sunway University, Selangor, Malaysia2
Hexi University, Center for Information Technology, Zhangye, China2
Computer Engineering, Rochester Institute of Technology, Rochester, USA2
Electrical and Electronic Engineering, Nazarbayev University, Astana, Kazakhstan2
Global Big Data Technologies Centre (GBDTC), University of Technology Sydney, Australia2
School of Computer Science and Engineering, Northwestern Polytechnical University, P.R.China2
Department of Computer Science, Rani Channamma University, Belagavi, Karnataka, India2
Vision and Pattern Recognition Systems (VisPRS) Research Group Muhammad Ali Jinnah University, Islamabad, Pakistan2
Research School of Engineering, National ICT Australia, Australian National University, Canberra, ACT, Australia2
Department of Computer Science, Rutgers University, Piscataway NJ, USA2
Department of Electrical Engineering, The City College of New York, New York NY, USA2
Bilgisayar Mühendisliği Bölümü, Ankara Yıldırım Beyazıt Üniversitesi, Ankara, Türkiye2
Department of Computer Science & Engineering, Manonmaniam Sundaranar University, Tirunelveli-627012, India2
Department of Electrical Engineering, American University of Sharjah, UAE2
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil, Ecuador2
King Abdulaziz University, Jeddah, Saudi Arabia2
Computer Science Department Technical University of Cluj-Napoca, Romania2
University of Mauritius, Reduit, 230, Mauritius2
UFMG & Kunumi, Belo Horizonte, Brazil2
EECS, Northwestern University, USA2
Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan2
Dept. of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, ON, Canada2
GIPSA-Lab, Grenoble Institute of Technology, France2
Department of Computer Science, University of Calgary, Canada2
Department of Computer Engineering, Bogazici University, Istanbul, Turkey2
Korea Advanced Institute of Science and Technology2
Department of Radiology; Medical Physics, University Hospital Freiburg, Freiburg, Germany2
New Jersey Institute of Technology, Department of Electrical & Computer Engineering, University Heights Newark, NJ 07102 USA2
Center for Biometrics Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Department of computer science, University of Bridgeport, Bridgeport, CT, 06604, USA2
Department of ECE, ASRI, Seoul National University2
Institute of Informatics and Telecommunications NCSR 'Demokritos' Athens, Greece2
Department of Computer Science, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27, Czech Republic2
Instituto de Microelectronica de Sevilla, IMSE-CNM-CSIC, Spain2
Strategic Analytics, lastminute.com group, Chiasso, Switzerland2
University of Colombo School aof Computing, University of Colombo ∗No 35, Reid Avenue, Colombo 72
Computer Science and Engineering, Easwari Engineering College, Chennai, India2
Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai-600 0362
IBM Research - Tokyo, Japan2
Department of mechanical Engineering Faculty of Sciences and Technology University Sidi Mohamed Ben Abdellah Fez, Morocco2
Department of Computer Science, College of Engineering Munnar, Idukki, Kerala, India2
Computer & Energy Engineering, Arizona State University, School of Electrical, Tempe, Arizona, USA2
Department of Computer Science & Engineering, University of Ioannina, 45110, Greece2
Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany2
University of Illinois at Urbana-Champaign, IL2
CEA, LIST, France2
Jiangsu University of Science and Technology, Zhenjiang, China2
Department of Computer Science and Engineering, Michigan State University, E. Lansing, MI 48824, USA2
Institute for Infocomm Research, 21 Heng Mui, Keng Terrace 119613 Singapore2
IIIT Guwahati2
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA2
School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia2
School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, United Kingdom2
Center of Excellence in Science and Technology, Islamabad, Pakistan2
Department of Computer Engineering, Alzahra University, Tehran, Iran2
RET, Las Vegas, Nevada2
BV-Tech Ricerca, Rovereto (Italy)2
FBK Trento (Italy)2
DISI - University of Trento, Trento (Italy)2
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia2
University of Borås, Borås, Sweden2
Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY, USA2
National school of electronics and telecommunications, University of Sfax, Tunisia2
Osaka University Health Care Center, Japan2
Applied Informatics, Faculty of Technology, Bielefeld University, Germany2
Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Barcelona, Spain2
Machine Learning Center, Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China2
Space Control and Inertial Technology Research Center, Harbin Institute of Technology, China2
Morpho, SAFRAN Group, 11 Boulevard Galliéni 92130 Issy-Les-Moulineaux - France2
Department of Computer Engineering, Siirt University, Siirt, Turkey2
Biometric Technologies Laboratory, Department of Electrical and Computer Engineering, University of Calgary, Alberta, T2N 1N4 Canada2
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea2
Norwegian Biometrics Laboratory, Norwegian University of Science and Technology (NTNU), 2802 Gj⊘vik, Norway2
International Institute of Information Technology (IIIT) Hyderabad, India2
School of Information Science, Computer and Electrical Engineering, Sweden2
Institut d'Électronique Fondamentale - Universite Paris Sud2
Renault S.A.S.2
Dept. of Computer Science & Engineering, Arizona State University, Tempe, 85287, USA2
Electronics Department, University of Alcalá (UAH), Spain2
Centre for Vision Speech and Signal Processing, University of Surrey, UK2
Computer and Electronics Security Systems, Northumbria University, UK2
Institute of Robotics, Innopolis University, Russia2
University of Southern California, Institute for Robotics and Intelligent Systems, Los Angeles, CA 90089, USA2
Daimler AG, R&D, Germany2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, Beijing, China2
Key Laboratory of Machine Perception, Ministry of Eduction, Peking University, Beijing, China2
University of Sciences and Technology, USTHB University, BP 32, El Alia, Algiers, Algeria2
Department of Electrical Engineering, The City College of New York, 10031, USA2
Academy of Broadcasting Science, Beijing, P.R. China2
Xinjiang University, China2
Dept of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece2
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, SP Brazil2
Department of Information Management, National Formosa University, Huwei, Yulin 632, Taiwan2
Institute of Logic and Intelligence, Southwest China University, Chongqing, China2
Computer Engineering Department, Cyprus International University, Lefko¿a, North Cyprus2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Eski¿ehir Osmangazi Üniversitesi, Turkey2
Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA2
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea2
Electrical Engineering and Computer Science, University of California at Merced, Merced, USA2
Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea2
Korea Electronics Technology Institute, Seongnam, Republic of Korea2
Department of ECE, UCEK, JNTUK, Kakinada2
Kunming University of Science and Technology, Kunming, China2
CNRS UMR7222, Sorbonne Université, Institut des Systèmes Intelli-gents et de Robotique, Paris, France2
Department of Information Technology, Uppsala University, Sweden2
Disney Research, Pittsburgh, PA, USA2
Yokohama Research Laboratory, Hitachi, Ltd., Yokohama, Japan2
University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA2
Cranfield University, Shrivenham SN6 8LA, United Kingdom2
Beijing Jiaotong University, China2
Department of Electrical and Computer Engineering, University of Delaware, Newark, DE, USA2
Dept. of Mathematics and Scientific Computing, IIT Kanpur, Uttar Pradesh, India-2080162
Department of Computer Science and Engineering, University of Califonia, San Diego2
Department of Computer Science and Technology, Tsinghua University, Beijing2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, SEOUL, Republic of Korea2
Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia2
School of Communication Engineeringm, Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, China2
Dept. of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh2
Computer System Department, Belarusian State University of Informatics and Radioelecrtronics, 6 P. Brovka st, Minsk, Belarus2
Department of Computer Science, San Jose State University, San Jose, CA2
School of Design, South China University of Technology, Guangzhou 510006, China2
MNIT Jaipur, India2
CIISE, Concordia University, Montréal, Québec, Canada2
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland2
Escuela Superior Politecnica del Litoral, Guayaquil, Ecuador2
Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador2
Aix Marseille Univ LIF/CNRS, France2
Institute of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan2
The Open University of Israel, Israel2
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an Shaanxi, China2
Griffith School of Engineering, Griffith University, Brisbane, Australia2
Bio-Computing Research Center, Shenzhen, Harbin Institute of Technology, Shenzhen, China2
Skolkovo Institute of Science and Technology (Skoltech), Novaya Street 100, Moscow Region, Russia2
Center for Automation Research, EE Department, University of Maryland, College Park, 20742, USA2
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 021382
The Rowland Insitute at Harvard, Harvard University, Cambridge, MA 021422
College of Information Science and Engineering, Ocean University of China, Qingdao, China2
Halmstad University, Halmstad, Sweden2
Linköping University, Linköping, Sweden2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Video and Image Processing System (VIPS) Laboratory, School of Electronic Engineering, Xidian University, Xi’an, China2
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 404100, China2
College of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 404100, China2
Service Systems Technology Center, Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan 31040, R.O.C2
Department of Electrical Engineering, University of Washington, Box 352500, Seattle, WA 98195, USA2
Poznan University of Technology, Department of Computing, Division of Signal Processing and Electronic Systems, Poznań, Poland2
CyLab Biometrics Center and Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA2
Computer Science and Engineering, G. H. Raisoni College of Engineering, Nagpur (MS), India2
Laboratory ISA Faculty of Science and Technology, Fez, Morocco2
Photogrammetry and Remote Sensing, ETH Zürich, Switzerland2
University of Waterloo, Waterloo, ON, Canada, N2L 3G12
Ideal Institute of Information and Technology, Northeast Normal University, NENU, Changchun, China2
Boǧaziçi University, Istanbul, Turkey2
Faculty of Science and Technology, University of Macau, Macau 999078, China2
IDIAP Res. Inst., Martigny, Switzerland2
Rutgers University, Piscataway2
Dept. of Information Science, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan2
Biomedical Engineering Programme, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand2
Dept. of Computer Science, University of California, Irvine2
Dipartimento di Informatica Bioingegneria Robotica e Ingegneria dei Sistemi, Università degli Studi di Genova, Genoa, Italy2
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China2
Technological Educational Institute of Crete (TEI), Department of Informatics Engineering, Heraklion, Crete, Greece2
Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece2
Centre de Recherche et Développement de la Gendarmerie Nationale, (CRD-GN), Algier, Algeria2
Centre de Développement des Technologies Avancées, Division Architecture des Systèmes, Cité 20 Août 1956, BP 17, Baba Hassen, 16303, Algier, Algeria2
University of Hong Kong, China2
School of Electronics and Information Technology, Sun Yat-Sen University2
University of Chinese Academy of Sciences2
MICC, University of Florence, Florence, Italy2
Electronics and Communication Engineering, Karunya University, Coimbatore, India2
Faculty of Mathematics and Natural Sciences, University of Bonn, Germany2
Department of Mechanical Engineering, National Taiwan University, 10647, Taipei, Taiwan2
Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand2
University of Colorado at Colorado Springs, Colorado Springs, CO, USA2
School of Computer Science, Shaanxi Normal University, Xi'an, China2
Grupo de Investigación en Automática, Universidad Tecnológica de Pereira2
STARS team, Inria Sophia Antipolis-Méditerranée, Sophia Antipolis, France2
Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), ECE Dept., University of Massachusetts Lowell, 01854, USA2
Computing and Information Systems, Kingston University London, UK2
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning Province, China2
School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning Province, China2
Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China2
Automation Department, North China Electric Power University, Baoding, 071003, China2
Department of Electrical and Computer Engineering, University of Victoria, BC V8W3P6, Canada2
Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing, Singapore2
Department of Information Science and Technology, Anna University, Chennai, India2
Department of Computer Science, University of Houston, TX 77004, United States of America2
JD Artificial Intelligence Research, Beijing, China2
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong2
School of Engineering, Cardiff University, UK2
Islamic Azad University, South Tehran Branch, Electrical Engineering Department, Iran2
Department of Automation, University of Science and Technology of China, Hefei 230027, China2
Research School of Computer Science, Australian National University, Australia2
California State University, Fullerton2
Department of Telecommunication, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan2
Univ. Bordeaux, CNRS, IMS, UMR 5218, F-33400 Talence, France2
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India2
LITIV Lab., Polytechnique Montreal2
Department of Computer and Information Science, University of Macau2
Vision and Pattern Analysis Laboratory, Sabanci University - Faculty of Engineering and Natural Sciences, Istanbul, Turkey2
Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan2
Department of Automation, Shanghai Jiao Tong University, China2
Graduate School, Air Force Engineering University, Xi’an, China2
Multimedia Communications Department, EURECOM, Sophia-Antipolis, FRANCE2
Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India2
Northwestern Polytechnical University Xian, P. R. China2
Northwestern Polytechnical University, Xian, P. R. China, and UNC-Charlotte, Charlotte, NC2
School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China2
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 2002402
Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genova, Italy2
Department of Biomedical Engineering, Jungwon University, Chungcheongbuk-do, Republic of Korea2
Queen Mary, University of London, London, UK2
Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK2
Elektrik-Elektronik Mühendisliği Bölümü, Işık Üniversitesi, İstanbul, TÜRKİYE2
Information Engineering and Medical Imaging Group, City University London, London, UK2
Ryerson Multimedia Lab, Ryerson University, Canada2
Department of Electronics Engineering, Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan2
Sorbonne Universites, universite de technologie de Compiegne, CNRS, UMR 7253 Heudiasyc-CS 60 319, 60 203 Compiegne Cedex, France2
Centro de Informática, Universidade Federal de Pernambuco, Av. Luiz Freire s/n, 50670-901, Recife, Brazil2
School of Electrical and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China2
Informatics and Telematics Institute Centre for Research and Technology Hellas, Greece2
Dept. of Electrical and Computer Engineering, Western Michigan University, USA2
Centre for Unified Biometrics & Sensors, Sensors Univ., Buffalo, NY, USA2
Electrical and Electronic Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey2
Center for Design Research, Stanford University, CA, USA2
Institute of Computing, University of Campinas (UNICAMP), SP, 13083-852, Brazil2
National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki 305-8568, Japan2
Faculty of Electrical Engineering, University of Banja Luka, Bosnia, Herzegovina2
Department of Mathematics and Computer Science, Northeastern State University, OK, USA2
University of Illinois at Chicago2
George Mason University, Fairfax, USA2
Department Of Artificial Intelligence, Faculty of Computer Science & Information Technology, Kuala Lumpur, Malaysia2
Department of Electrical Engineering, National Institute of Technology, Rourkela-769008, India2
Corp. Res. & Dev., Toshiba Corp., Tokyo, Japan2
School of Science, Beijing University of Posts and Telecommunications, Beijing, China2
Laboratory of Computer Vision and Media Technology, Aalborg University, Denmark2
Department of ECE, Global Academy of Technology, Bangalore, Karnataka, India2
Dept. of Electronics and Telecommunication Engg., KCT's Late G.N. Sapkal college of Engineering, Nashik, India2
Department of Computer Science, Cornell University, Ithaca NY, 14853, USA2
Comput. Vision Lab., Maryland Univ., College Park, MD, USA2
Student, IEEE2
Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA 24061, USA2
Istanbul Technical University, Informatics Institute, 34469, Turkey2
ENST, Bretagne, GET-ENST, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
FMV IŞIK Üniversitesi, Şile, Istanbul2
College of Information Engineering, Nanchang University, Nanchang, China2
Department of Computer ScienceComputational Biomedicine Laboratory, University of Houston, Houston, TX, USA2
Dept. of Electrical & Electronics Engineering, Nooral Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India2
CVIT, IIIT Hyderabad2
School of Engineering Science, Simon Fraser University, Burnaby, Canada2
Computer Vision Laboratory, GIST, South Korea2
Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology2
Academy of Broadcasting science, Beijing, China, 1008662
Elektrik ve Elektronik Mühendisliği Bölümü, Bilecik Üniversitesi, Turkey2
University of Illinois at Urbana-Champaign (UIUC)2
Florida Atlantic University, Boca Raton, FL, USA2
Department of Electrical and Computer Engineering, University of Delaware, Newark, USA2
Computer Application Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China2
Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
Department of Computer Science, Drexel University, USA2
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China2
Rapid-Rich Object Search Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore2
The School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, P.R. China2
Department of Computer Science and Engineering of Systems, University of Zaragoza, Escuela Universitaria Politécnica de Teruel, Teruel, Spain2
POSTECH, 37673 Pohang, Korea2
LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France2
Department of Intelligent Systems, Graduate School of Information Science and Electrical Engineering, Kyushu university, Fukuoka, Japan2
Department of DMC Engineering, Sungkyunkwan University, Suwon, South Korea2
School of Information Technology and Electrical Engineering, the University of Queensland, Australia2
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C2
UIIP, Minsk, Belarus2
BSUIR, Minsk, Belarus2
South Base, China Mobile, Guangzhou, China2
Indian Institute of Technology, Kharagpur, West Bengal 721302, India2
School of Electronic and Information Engineering, Beihang University, Beijing, 100191, China2
Robert BOSCH Research and Technology Center, Palo Alto, CA 94304, USA2
National Chung Hsing University, Taichung2
Università di Salerno, Fisciano (SA), Italy2
Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney Playa, Havana, Cuba2
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, School of Computer Science, Beijing Institute of Technology, Beijing, China2
National Technical University of Athens, Heroon Polytechniou, Athens2
German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany2
College of Engineeing & informatics, National University of Ireland Galway Galway, Ireland2
CSE, SUNY at Buffalo, USA2
Dept. of Computer Science and Engineering Nagoya Institute of Technology Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan2
University of Texas at El Paso, 500 W University Ave - El Paso TX 799682
Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong2
Jiangsu Key Laboratory of Big Data Analysis Technology, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China2
Department of Computer Engineering, Mahanakorn University of Technology, 140 Cheum-Sampan Rd., Nong Chok, Bangkok THAILAND 105302
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300812
Department of Electronics and Communication Engineering, PEC University of Technology, Chandigarh-160012, India2
National University of Defense Technology, Changsha, Hunan2
Department of Computer Engineering, Istanbul Technical University, Turkey2
Informatics Institute, Istanbul Technical University, Turkey2
Computer Science and Information Management, Asian Institute of Technology, Pathumthani, Thailand2
School of Information Engineering, Nanchang University, Nanchang, China2
College of Science and Technology, Nanchang University, Nanchang, China2
Yandex, Moscow2
Tsinghua University, Beijing, P. R. China2
Dept. of Comput. Sci., York Univ., UK2
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Box 451, Thessaloniki 54006, Greece2
The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China2
Tencent Inc2
INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France2
Department of Mechanical Engineering, University at Buffalo, SUNY Buffalo NY 14260 USA2
Department of Computer Science and Technology, East China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China2
University of Arkansas at Little Rock, USA2
CSE, Department, Regional Centre of Anna University, Tirunelveli, TamilNadu, India2
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 1001902
Computer Science and Technology Department, Tsinghua University, China2
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia2
Department of Mechanical and Aerospace Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea2
Adobe Research, San Jose, USA2
University of Sfax, LETI laboratory ENIS, BP W, Sfax, 3038, Tunisia2
Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy2
College of Information Engineering, Zhejiang University of Technology, Hangzhou 310032, China2
Telecom Lille 1, LIFL, Lille, France2
Department of Electronics & Communication Engineering National Institute of Technology, Srinagar - 190006 India2
Institute of Computing Technology, CAS, Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Beijing, China2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics , Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
School of Computer Science and Engineering, University of Aizu, Tsuruga, Ikkimachi, Aizuwakamatsu, Japan2
TCS Innovation Labs, TATA Consultancy Services, Hyderabad, India2
SoICT, HUST and School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi, Vietnam2
UNC-Charlotte, Charlotte, NC, USA2
School of Computer Science, Hangzhou Dianzi University, Hangzhou, China2
Department of Electronic and Electrical Engineering, University of Bath, Bath, UK2
Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang, China2
Tongren Electric Power Supply Bureau of Guizhou Power Grid Co., Ltd., Tongren, China2
Department of Computer Science and Engineering, University of Chittagong, Bangladesh2
Supelec, IETR (UMR 6164) Avenue de la Boulaie, 35511, Cesson-Sevigne2
Computer Science and Engineering Dept., University of North Texas, Denton, TX, USA2
Depart. Electronics, Telecommunications & Information Technology, Polytechnic University of Bucharest, Romania2
Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA2
Computer Science and Engineering Michigan State University, East Lansing, USA2
Ritsumeikan University, Japan2
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, P.R. China2
Laboratory of Parallel Software and Computational Science, State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, Beijing, China2
Beijing Key Laboratory of Advanced Information Science and Network Technology, Institute of Information Science, Jiaotong University, 100044, China2
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, 1001902
School of Mathematics, Statistics and Computer Science University of KwaZulu-Natal Durban, South Africa2
Honda Research Institute, 375 Ravendale Dr, Suite B, Mountain View, CA, 94043, USA2
Seoul National University, Seoul, Korea2
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA2
Electrical, Computer and IT, Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran2
Karlsruhe Institute of Technology, Institute for Anthropomatics, Karlsruhe, Germany2
Signal Theory and Communications Department, University of Vigo, Vigo, Spain2
University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, New Delhi-110078, India2
The Ohio State University, Columbus2
Kochi University of Technology, Kochi, 782-8502, Japan2
Hefei University of Technology, School of Computer and Information, Hefei, Anhui, 230601, China2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Turkey2
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283 Darmstadt, Germany2
Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland2
Gwangju Institute of Science and Technology, School of Information and Communications, Gwangju, Republic of Korea2
Multimedia Communications Dept., EURECOM, Sophia Antipolis, France2
Security & Safety Systems Development Office, Tokyo R&D Center, Panasonic Corporation2
University Polytechnica of Bucharest, Bucharest, Romania2
Ghent University, Zwijnaarde, Belgium2
Control Systems Laboratory, School of Mechanical Engineering, National Technical University of Athens, Greece2
ENSTA ParisTech, UIIS Lab University of Paris-Saclay, 91762 Palaiseau, France2
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 10091, China2
Information Technology University (ITU), Punjab, Lahore, Pakistan2
School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an, China2
Department of Computing, The University of the West Indies, Mona Campus, Jamaica2
Wrocław University of Science and Technology, Wrocław, Poland2
Institute of Remote Sensing and GIS, Peking University, Beijing, China2
Pattern Recognition Laboratory, Delft University of Technology, Mekelweg 4, 2628 CD Delft, the Netherlands2
Wayne State University, Detroit, USA2
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh2
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA2
LIMSI-CNRS, Orsay, France2
Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA, USA2
Computer Vision and Robotics Group , University of Girona, Girona, Spain2
Department of Electronic and Information Engineering, Center for Signal Processing, The Hong Kong Polytechnic University, Hong Kong2
Firmenich SA, Geneva2
Max Planck Institute for Intelligent Systems2
MediaTek Inc., Hsinchu, Taiwan2
School of Information Technology, Deakin University, Burwood, VIC, 3125, Australia2
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, GU2 7XH, UK2
Key Laboratory of Optoelectronic Technology and Systems, MOE Chongqing University Chongqing, China2
Research and Engineering Education Facility, University of Florida, Shalimar, USA2
Department of Mechanical Engineering, National Taiwan University of Science and Technology, 43 Keelung Road, Section 4, Taipei, Taiwan2
Visual Image Processing Group, National Institute of Standards and Technology, Gaithersburg, MD 208992
Syracuse University2
Biometric Laboratory, Research and Academic Computer Network (NASK), Wąwozowa 18, Warsaw, Poland2
Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX, USA2
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India2
School of Electronic Engineering and Computer Science, Institute of Digital Media, Peking University, Beijing, China2
ONERA - The French Aerospace Lab, F-91761 Palaiseau, France2
Learning & Game Theory Laboratory, Engineering Division, New York University, Abu Dhabi2
Départment d'Informatique, Université de Sherbrooke, QC, Canada J1K 2R12
Université Lyon, Villeurbanne, France2
Wuhan University, China2
Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China2
Department of Computer Science, Southern Illinois University Carbondale, IL, USA2
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA2
Samsung Electronics, SAIT Suwon-si, Korea2
Department of Electrical Engineering, University of Hawaii, Manoa, Honolulu, HI, 968222
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, 350121, China2
Toyota Research Institute, Cambridge, MA, USA2
School of Electrical Engineering and Computer Science, Queensland University of Technology, Gardens Point, Queensland, Australia2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China2
Applied Physics Laboratory, University of Washington, Seattle, WA, USA2
Department of Computer Science, University of Bucharest, 14 Academiei Street, Bucharest, Romania2
School of Information Science and Technology, Northwest University, Xi’an, China2
The University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science, The University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, 028812
Department of Computer Technology, YCCE Nagpur, India2
Visual Learning and Intelligence Group (VIGIL), Department of Computer Science and Engineering, India2
School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, Guangdong, Peoples Republic of China2
Department of Computer Science, University of Hong Kong, Hong Kong2
University of Leeds Leeds, UK2
Department of Automation, Shanghai Jiao Tong University, 200240, China2
Biometric and Image Processing Laboratory, Università di Salerno, Via Ponte don Melillo, Fisciano, 84084, Salerno2
College of Information and Control Engineering, China University of Petroleum (East China), Dongying 257061, China2
School of Computer Sciences, Universiti Sains Malaysia, Malaysia2
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia2
Department of Automation, Shanghai Jiaotong University, Shanghai 2002402
Electronics and Communication Sciences Unit, Indian Statistical Institute, India2
School of Electrical Engineering and Computer Science at the University of Newcastle, Callaghan, NSW 2308, Australia2
School of Electrical Engineering and Computing, University of Newcastle, Newcastle, Australia2
Shanghai University of Engineering Science, Shanghai, China2
ISR - Instituto Superior Técnico, Lisboa, Portugal2
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia2
School of Information Science and Engineering, Shandong University Jinan, China, 2501002
University College London (UCL), Electronic and Electrical Engineering Department, London, U.K.2
Biometric Technologies Laboratory, Department of Electrical and Computing Engineering, University of Calgary, Alberta, Canada2
Baiyun District Bureau of Justice, Guangzhou, China2
Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France2
School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China2
2004 Route des Lucioles -BP93 Sophia Antipolis Cedex, 06902, France2
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, KKTC, via Mersin 10 Turkey2
CASIS at Clemson University, Clemson, SC 29634, USA2
Dep. of Computer Science - University of Milan Via Comelico 39, I-20135 Milan - Italy2
Jaypee Institute of Information Technology2
Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada2
Computer Science and Technology Department, Tsinghua University, Beijing 100084, China2
Intelligent Data Center (IDC) and Department of Mathematics, Sun Yat-Sen University, Guangzhou, China2
Artificial Intelligence Group, University of Bremen, Am Fallturm 1, 28359, Germany2
Imavis srl, Italy2
Samsung Advanced Institute of Technology (SAIT), Republic of Korea2
Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation2
Computer Science Division, EECS, University of California at Berkeley, USA2
Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia2
School of Computer Engineering, Shahrood University of Technology, Iran2
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, 1 University Road, Tainan, Taiwan2
School of Automotive and Traffic Engineering, Jiangsu University, China2
University of Malaga2
University of Cordoba2
City University of Hong Kong, Hong Kong, China2
Department of Computer Science, New Jersey Institute of Technology, Newark 07102, USA2
Department of Computer Science, IT: Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal2
Dept. of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York, USA2
School of Electrical and Computer Engineering, Cornell University, USA2
Xinjiang University, Urumqi, China2
University of California San Diego, La Jolla, USA2
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei Anhui, China2
GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Maréchal Juin, 14000 CAEN, France2
GRIMAAG, University of the Antilles and Guyane, Pointe-à-Pitre , France2
SDM, Dharwad, India2
BVBCET, Hubli, India2
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China2
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology, Sydney, Australia2
School of Electronic Engineering, Xidian University, Xi'an 710071, China2
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia2
Department of Computer Science, Utah State University, Logan, UT, USA2
Institute of Real-Time Learning Systems, University Siegen, Hoelderlinstrasse 3, 57076, Germany2
Artificial Intelligence Group, University Bremen, Am Fallturm 1, 28359, Germany2
Institut Eurécom, Multimedia Communications Department, BP 193, 06904 Sophia Antipolis Cedex, France2
Computer Science and Engineering, Arizona State University, Tempe, AZ2
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA2
Department of Electronics and communication Engineering, Sathyabama University, Chennai2
Department of Computer Engineering, Hacettepe University, Ankara, Turkey2
Department of Computer Engineering, Bilkent University, Ankara, Turkey2
Dept. of Electron. Eng., City Univ. of Hong Kong, China2
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA2
Research department, Herta Security, Barcelona, Spain2
School of EE, Xidian University, Xi'an 710071, China2
Faculty of Computer and Information Science, University of Ljubljana, EU, Slovenia2
South East European University, Tetovo, Macedonia2
University of Wisconsin, Madison, Wisconsin2
Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, Porto Alegre, RS, 6681, Brazil2
Department of Computer Science, Shanghai Maritime University, Shanghai, China2
Electric Power Research Institute, State Grid Shanghai Electric Power Company Shanghai, 200093, China2
Information Security Group, School of Engineering and Mathematical Sciences, City University London, EC1V 0HB London, U.K2
Department of Information Technology, MCKV Institute of Engineering, Howrah, India2
Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA2
Bosch Center for Artificial Intelligence, Renningen, Germany2
Dept. of Information Engineering, University of Firenze - Italy2
Computer Science, University of Arkansas at Little Rock, USA2
Department of Computer Science and Engineering University of North Texas Denton, TX 762012
Department of Biomedical engineering, The Chinese University of Hong Kong, N.T., China2
Automated Driving Team, Robert Bosch LLC, Palo Alto, CA 943042
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, USA2
Department of Electrical Engineering Jorhat Engineering College Jorhat, Assam2
Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany2
Beijing Information Science and Technology University, School of Automation, Beijing, China2
Tatung University, Taipei City, Taiwan Roc2
Institute of Communications and Navigation, German Aerospace Center (DLR), Oberpfaffenhofen, Germany2
Institute for Communications and Navigation, Technical University Munich, Munich, Germany2
EAVISE, KU Leuven Department of Industrial Engineering Sciences, Germany2
School of Information Science, Computer, and Electrical Engineering, Halmstad University, PO Box 823, SE-301 18 Halmstad, Sweden2
Chinese Academy of Sciences and Anhui Engineering Laboratory for Intelligent Driving Technology and Appllication, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China2
University of California, Santa Cruz, Santa Cruz2
Halmstad University, IDE SE-30118 Halmstad, Sweden2
School of Engineering, Monash University, Bandar Sunway, Malaysia2
Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan2
Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan2
Brigham Young University, Provo, USA2
Research Institute of Computer Science and Technology Ningbo University, Ningbo, China2
Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244, USA2
Department of Computer, Shandong University, Weihai, China2
CRISTAL laboratory, GRIFT research group National School of Computer Sciences (NSCS) La Manouba 2010, Tunisia2
Electrical Engineering, Indian Institute of Technology, Kanpur, India2
Heriot-Watt University, Edinburgh, UK2
Mechanical and Electrical Engineering, Polish Naval Academy, Gdynia, Smidowicza 69, Poland2
Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China2
University of California Santa Cruz, Santa Cruz2
Department of Electrical Engineering, University of California Riverside, Riverside, CA2
Department of Mathematics and Computer Science, Univeristy of Udine, Udine, Italy2
Video Processing Laboratory, Department of Electrical Engineering, Yazd University, Yazd, Iran2
School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China2
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China2
Dr. G. Y. P. College, MGM, Aurangabad2
Maharashtra University of Health Sciences, Nashik2
ATR National Laboratory, National University of Defense Technology, Changsha , China2
Griffith School of Engineering, Griffith University, Nathan Campus, Brisbane, Australia2
Department of Computer Technology, YCCE, Nagpur, Maharashtra, India2
Laboratory of Visual Analysis of People (VAP), Aalborg University, Sofiendalsvej 11, 9200 Aalborg, Denmark2
Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA2
PDL, National Laboratory for Parallel and Distributed Processing, NUDT, National University of Defense Technology, Changsha, China2
School of Engineering, Griffith University, Nathan Campus, 170 Kessels Road, Brisbane, QLD 4111, Australia2
State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing 100871, China2
Department of Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea2
Faculty Of Computer and Information Technology Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran2
Cochin University of Technology, School of Engineering, Ernakulam, Kerala, India2
DIIn, University of Salerno, via Ponte don Melillo, Fisciano - Italy2
The Chinese University of Hong Kong; Multimedia Lab, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Hong Kong, Shenzhen, China2
Advanced Technology Development Center, Indian Institute of Technology, Kharagpur, 721302, India2
University College London, London, United Kingdom2
Division of Computer Engineering, Netaji Subhas Institute of Technology, Delhi, India2
Czech Technical University in Prague, Prague, Czech Rep2
Masaryk University, Brno, Czech Rep2
Charles University, Prague, Czech Rep2
Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy2
National Taipei University, New Taipei City, Taiwan2
Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy2
Hanyang University, Ansan, South Korea2
West Virginia University2
London, United Kingdom2
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada2
Dept. of Infrastructure Engineering, The University of Melbourne, Parkville 3010, Australia2
School of Computer Science and Engineering, Nanyang Technological University, Singapore6397982
Biomedical Engineering and Medical Physics Shahid Beheshti University, Tehran, Iran2
Department of Computer Science, University of Northern British Columbia, Prince George, British Columbia, Canada2
Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN2
Smart Systems Institute, National University of Singapore, Singapore2
State key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, China, 4100732
Elektrik ve Elektronik Mühendisli¿i Bölümü Bo¿aziçi Üniversitesi, Turkey2
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, 92521, USA2
French Aerospace Lab, ONERA - 91123 Palaiseau, France2
Sorbonne University, UPMC University, Paris 06, UMR 7606, LIP6 - 75005, France2
Department of Computer Science & Engineering, University of Washington, Seattle, WA 98115, USA2
Räven AB, SE-411 14 Göteborg, Sweden2
School of Computing, University of Kent, Canterbury, UK2
National Institute of Electronics and Information Technology, Aizawl Aizawl, Mizoram, India2
Computer Science Department Université de Moncton Moncton NB Canada E1A 3A92
School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China2
USP - University of Sáo Paulo / ICM CLRM - Mobile Robots Lab2
CycloMedia BV, P.O. Box 68, 4180 BB, Eindhoven, NL2
Computer Science and Technology Dept., Tsinghua University, Beijing, China2
Jiangsu Key Laboratory of Image and Video Understanding for Social Safety, Nanjing University of Science and Technology, Nanjing, China2
Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871 Japan2
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology2
Department of Computing, Imperial College London, U.K.2
School of Information Science, Japan Advanced Instititue of Science and Technology, Ishikawa, Japan2
School of Electronics and Information Engineering, Sichuan University, Chengdu, 610064, China2
Indian Statistical Institute, Kolkata 700108, India2
Dept. of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan2
Department of Electrical and Computer Engineering, The University of Auckland, New Zealand2
ENSTA ParisTech, UIIS division, 858 Blvd des Maréchaux, 91762 Palaiseau, France2
Department of Information Engineering, Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Hubei, China2
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan2
Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile2
Deparment of Computer Science, Centro de Investigación en Matemáticas, 36240 Guanajuato, México2
Experimental and Technological Research Group - NExT/IFG, Federal Institute of Goiás, Goiânia, Brazil2
Snap Research, Venice, CA, United States2
University of Technology Sydney, Australia2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, 100081, P.R. China2
Department of Statistics, George Mason University2
Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany2
University of South Carolina, Columbia, SC, USA2
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University2
Universidade NOVA de Lisboa, Caparica, Portugal2
University of Kentucky2
Department of Electrical and Electronic Engineering, Imperial College London, London SW2 7AZ, UK2
Systems & Industrial Engineering, The University of Arizona, Tucson, AZ, USA2
School of Mathematics, Statistics and Computer Science, Victoria University of Wellington, PO Box 600, 6140, New Zealand2
Department of Computer Science TU Darmstadt, Germany2
MPI Informatics Saarbrücken, Germany2
University of Waterloo, Waterloo, ON, Canada2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Do¿u Akdeniz Üniversitesi, Gazima¿usa, KKTC, Turkey2
Microsoft Research, Haidian, Beijing, P. R. China2
Department of Electronics at the University of Alcalá (Madrid, Spain)2
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Korea2
Tokyo Institute of Technology, Department of Information Processing, 4259-G2-4, Nagatsuta-cho, Mdori-ku, Yokohama, Kanagawa, 226-8502, Japan2
Video and Image Processing System Laboratory, School of Electronic Engineering, Xidian University , Xi'an, China2
Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran2
Universidad Catolica de Chile2
Microsoft Advanced Technology Center, Beijing2
Media Computing Group, Microsoft Research Asia, Beijing2
Department of Automation, University of Science and Technology of China, Hefei, Anhui2
School of Computer and Controlling Engineering, University of Chinese Academy of Sciences, Beijing, China2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong2
Department of Electrical Engineering, National Taiwan University, Taiwan2
Artificial Vision Laboratory, Dept. of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan 1062
Department of Theoretical Neuroscience, Frankfurt Institute for Advanced Studies, Goethe University Frankfurt, Ruth-Moufang-Str. 1, 60438, Germany2
Electrical Engineering & Computer Science, University of California at Merced, USA2
Electrical Engineering Department, the University of Ulsan, Ulsan, Korea2
School of Information Engineering, Wuyi University, Jiangmen Guangdong, China 5290202
Department of Electronic and Computer Science Engineering, Pusan National University, Busan, Republic of Korea2
Florida International University, Miami, United States2
Capital University of Economics and Business, Beijing, P.R. China2
Facial Image Processing and Analysis Group, Institute for Anthropomatics, Karlsruhe Institute of Technology, D-76131 Karlsruhe, P.O. Box 6980 Germany2
University of York, YO10 5GH, UK2
Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA2
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Fl, USA2
Central Scientific Instruments Organization (CSIR-CSIO), Sector 30C, Chandigarh, India2
College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China2
Chengdu University, School of Information Science and Engineering, Chengdu, 610106, China2
Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil2
Department of Computer Science, Peking University, Beijing, China2
Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ, USA2
College of Computer and Electronic Information, Guangdong University of Petrochemical Technology, Maoming, China2
Control & Energy Management Laboratory, University of Sfax, Sfax Engineering School, Tunisia POB 30382
College of Applied Science and Technology, Hainan University, China2
Anhui University, School of Computer Science and Technology, Hefei, China2
Anhui University, School of Mathematical Sciences, Hefei, China2
Denso IT Laboratory, Inc., Tokyo, Japan2
National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China2
School of Computational Science and Engineering, Georgia Institute of Technology2
Microsoft Research Asia, China2
Robotics Program, KAIST, Daejeon, 34141, Korea2
Computer Vision Lab, Delft University of Technology, Delft, The Netherlands2
Dept. Computer Science and Information Engineering, National University of Kaohsiung, Taiwan2
School of Science, Information Technology and Engineering, University of Ballarat, Australia2
State Key Lab of Management Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
School of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, Pakistan2
Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines2
Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland2
Nanjing Children's Hospital Affiliated to Nanjing Medical University, Nanjing, China2
College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China2
School of Engineering, Huaqiao University, Quanzhou, 362021, China2
School of Information Science and Engineering, Huaqiao University, Xiamen 361021, China2
Visual Information Lab, University of Bristol, UK2
Brazilian Navy, Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil2
École Centrale de Lille, CRIStAL, UMR CNRS 91892
School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, People’s Republic of China2
Univ. Bordeaux, LaBRI Talence, France2
Computer Science and Engineering Department, Arizona State University, Tempe, AZ2
Department of Electronics Engineering, Konkuk University, Seoul, South Korea2
Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, 410073, P.R.China2
Shree Vaishnav Institute of Technology and Science, Indore (M.P) India2
Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea2
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Canada2
Bilişim Enstitüsü, İTÜ, Turkey2
University of Tennessee, Knoxville, Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA2
School of Computer Science and Technology, University of Science and Technology of China2
West Virginia University, Morgantown, West Virginia, 265062
Osaka Municipal Technical Research Institute, Boulder, 536-8553 JAPAN2
Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany2
Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
CVPR Laboratory, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran2
Elektrik-Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
School of Electrical and Electronic Engineering, Tianjin University of Technology, China2
Australian Centre for Field Robotics, School of Information Technologies, University of Sydney, Australia2
School of Computing, Mathematics and Digital Technology2
Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA 021392
LICÉF research center, TÉLUQ University, Montreal (QC), Canada2
Visual Analysis of People Laboratory, Aalborg University, Denmark2
Electronics and Computer Engineering, Hanyang University, Seoul, South Korea2
Elektrik ve Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey2
Sunway University: Department of Computer Science and Networked Systems, Petaling Jaya, Malaysia2
Communications Engineering Department, National Chiao Tung University, Hsinchu, Taiwan2
Microsoft Research Asia, Haidian District, China2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing, China2
Department of Computer Science and Engineering, P.A College Of Enginnering And Technology, Coimbatore, India2
Key Laboratory of System Control and Information Processing, Ministry of Education, Department of Automation, Shanghai Jiao Tong University, China2
Computer Vision & Media Technology Lab, Aalborg University, Aalborg, Denmark2
MTA SZTAKI Institute for Computer Science and Control2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS)2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS) Taibah University2
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Hafez 424, Iran2
Graduate School of Information, Production and Systems, Waseda University, Japan2
Electrical Engineering Department, Sharif University of Technology, Tehran, Iran2
Guang Zhou Communication Information Construction Investment and Operation Co. Ltd, China2
Institute of Smart City Systems, Qingdao Academy of Intelligent Industries, China2
Lawrence Livermore National Laboratory, Computational Engineering Division, Livermore, CA USA2
General Motors Company2
Department of Automation, Shanghai Jiaotong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China2
Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional del Comahue. Buenos Aires 1400, Neuquén CP 8300, Argentina2
School of Computer Science, The University of Adelaide, South Australia2
Department of ECE, Kalasalingam University, India2
Vision and Fusion Lab, Karlsruhe Institute of Technology KIT, Adenauerring 4, Karlsruhe, Germany2
Department of Computer Science, The University of Hong Kong2
Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, MALAYSIA2
Flanders Make, Oude Diestersebaan 133, 3920 Lommel, Belgium2
School of Computer Science and Technology, Soochow University, Suzhou 215006, P. R. China2
Istanbul Technical University, Faculty of Computer and Informatics Engineering, Istanbul, Turkey2
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi, P. R. China2
Department of Mathematics and Computer Science, University of Cagliari, Italy2
CETUC, Pontifical Catholic University of Rio de Janeiro, Brazil2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, Australia2
University of Montreal Montréal QC, Canada2
National Aviation University, Kyiv, Ukraine2
Electric-Electronic Department, Ho Chi Minh University of Technology, Ho Chi Minh City, Vietnam2
Stanford University, Stanford, USA2
Kogakuin Univ., Tokyo, Japan2
The School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, P.R. China2
Queen Mary University of London, London, England UK2
Graduate School of Science and Engineering, Teikyo University2
London Health Sciences Centre, London, ON, Canada2
Siemens Corporate Technology, Imaging and Visualization Munich, Germany2
Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Ettlingen, Germany2
School of Information Science, Japan Advanced Institute of Science and Technology, Asahidai 1-1, Nomi-shi, Ishikawa, Japan, 923-12112
Honda Research Insitute, USA2
Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza, Spain2
Konkuk University, Seoul, Korea2
Department of General Surgery, Carolinas Medical Center, United States of America2
College Of Engineering Trivandrum, India2
DIIn, University of Salerno, Fisciano (SA) - Italy2
Visionlab at Heriot-Watt University, UK2
IUT d'Orsay, Université de Paris-Sud, Plateau de Moulon, 91400, France2
University of Amsterdam , Amsterdam, The Netherlands2
Czech Technical University , Prague 2, Czech Republic2
RWTH Aachen , Aachen, Germany2
Department of Computer Science Engineering, Misrimal Navajee Munoth Jain Engineering College, Chennai, India2
Computational Biomedicine Lab, University of Houston, 4800 Calhoun Road, Houston, TX 770042
Norwegian Biometrics Lab, NTNU, Gj⊘vik, Norway2
Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, CEP, 26041-271, Brazil2
Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France2
Image Processing & Data Mining Lab, Shahrood University of Technology, Shahrood, Iran2
George Mason University, Department of Computer Science, Fairfax, Virginia2
MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France2
Institute of Informatics, UFRGS, Porto Alegre, Brazil2
Graduate School of Information Science and Technology, Osaka University, Osaka, Japan2
GIT Vision Lab, Bilgisayar Mühendisliği Bölümü, Gebze Yüksek Teknoloji Enstitüsü, Kocaeli, 41400, Türkiye2
Nanyang Technological University, Singapore 6397982
BeingThere Center, Institute for Media Innovation, Nanyang Technological University, Singapore 6375532
Department of Computer Science & Engineering, POSTECH, Pohang, Sourth Korea, 376732
The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA2
German National Library of Science and Technology & Leibniz Universität Hannover, Hannover, Germany2
National Central University, Taoyuan County, Taiwan2
Department of Electrical and Computer Engineering, National University of Singapore, 117576 Singapore2
Havacılık Elektrik ve Elektroniği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
Artificial Intelligence and Information Analysis Lab, Department of Informatics, Aristotle University of Thessaloniki, Greece2
University of British Columbia Department of Electrical and Computer Engineering2
Chalmers University of Technology, Goteborg, Sweden2
Torr Vision Group, University of Oxford, Oxfordshire, United Kingdom2
Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY, USA2
Dept. of Mech. & Ind. Eng., Toronto Univ., Canada2
CSR Research Unit of EμE Laboratory, National School of Engineering, Ibn Eljazzar 5019, Monastir, Tunisia2
Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China2
Beijing University of Aeronautics and Astronautics, Beijing, China2
Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil2
Computer Laboratory, University of Cambridge, Cambridge, UK2
Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh2
Computer Science and Technology, IIEST, Shibpur2
Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland2
Eindhoven Univ. of Technol., Netherlands2
Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland2
School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China2
Institute of Industrial Science, University of Tokyo, Tokyo, Japan2
Core Technology Center, OMRON Corporation, Kyoto, Japan2
TZI Center for Computing and Communication Technologies, University Bremen, Am Fallturm 1, 28359 Bremen, Germany2
Elektrik Elektronik Mühendisligi Bölümü Boğaziçi Üniversitesi, 34342, Bebek, Istanbul, Türkiye2
Boston University, USA2
Duke University, USA2
The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, 567-0047 Japan2
Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic2
Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing, China2
Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh2
Institute of Information Engineering, CAS, Beijing, China2
Majority Report, France2
College of Mathematics & Information Science, Wenzhou University, Wenzhou, Zhejiang, China2
Computer Vision Lab, University of Central Florida. Orlando, USA2
Multimedia Lab. Ortadoğu Teknik Üniversitesi, Ankara, Türkiye2
Key Laboratory of Machine Perception, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China2
Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland2
Xiamen University, Fujian, China2
Department of Electrical and Computer Engineering, Automation and Systems Research Institute, Seoul National University, Seoul, South Korea2
Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Artificial Intelligence Research Center Korea Electronics Technology Institute Seongnam. Korea2
Department of Engineering, University of Cambridge, UK2
Pattern Recognition and Intelligent System Lab., Beijing University of Posts and Telecommunications, China2
Chinese Academy of Sciences, Shenzhen, China2
Dept. of CSE, Annamalai University2
Université de Caen Basse-Normandie, UMR 6072 GREYC, F-14032, France2
Dept. of ECE Syed Ammal Engineering College, Ramanathapuram, India2
Protein Research Technology Center, Tsinghua University, Beijing, China2
Samsung Research Institute China-Beijing (SRC-Beijing), Beijing, China2
College of Engineering, Trivandrum, India2
Bilgisayar Mühendisliği Bölümü, ˙Istanbul Teknik Üniversitesi2
Computer Science Department, University at Albany, State University of New York2
Department of Computer Science, University of Kentucky2
Instituto Nacional de Astrofíosica, Óptica y Electrónica (INAOE), Tonantzintla, Mexico and Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France2
Lero - The Irish Software Research Centre, University of Limerick, Ireland2
College of Optical Science and Engineering, Zhejiang University, Hangzhou, China2
School of IoT Engineering, Jiangnan University, Wuxi, 214122, China2
Collaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR, USA2
Center for Information Engineering Science Research (CIESR), School of Electronics and Information Engineering, Xi'an Jiaotong University, Shaanxi, 710049, China2
Graduate School of IPS, Waseda University, Fukucka, Japan2
IBM Hursley Labs, UK2
Department of Computer Science & Engineering, G. H. Raisoni Academy of Engineering and Technology, Nagpur, India2
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China2
Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada2
SUNY Binghamton, Binghamton, NY, USA2
School of Information Science and Technology, Jiujiang University, Jiujiang, China2
Computer engineering department, Sharif University of Technology2
Electrical-Electronics Engineering Department, Kirikkale University, Turkey2
Institute of Computer Science VI, Autonomous Intelligent Systems, University of Bonn, Germany2
Department of Computer Engineering & Informatics, University of Patras, 26500 Patras, Greece2
Dept. of Electrical Engineering and Computer Science, Syracuse University2
Beijing Etrol Technologies Co., Ltd, Beijing, China2
Stevens Institute of Technology, Hoboken, NJ 07030, USA2
Department of Computer Science and Engineering, New York University2
Academy of Broadcasting Science, Information Technology Institute, Beijing, China2
Noah's Ark Laboratory, 2012Labs Huawei Technologies Co., Ltd., Beijing, China2
University of Illinois at Urbana-Champaign, 201 N Goodwin, 61820, USA2
Faculty of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany2
National ICT Australia, Canberra, ACT, Australia2
Research School of Engineering, The Australian National University, Canberra, ACT, Australia2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, 65211, USA2
U.S. Army Engineer Reserch and Development Center, Information Technology Laboratory, Vicksburg, MS, United States2
School of Computing, Teesside University, Middlesbrough, UK2
Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University, Newcastle, UK, NE1 8ST2
Department of Information Engineering, The Chinese University of Hong Kong2
Instituto de Computação, Universidade Federal do Amazonas, Manaus, Amazonas, Brasil2
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), Shenzhen Graduate School, Peking University, Shenzhen, 518055 China2
WaveLab - The Multimedia Signal Processing and Security Lab, Universität Salzburg, Austria2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Shaanxi, China2
Department of Computer Science & Engineering, India Jadavpur University, Kolkata, India2
Department of Computer Science and Engineering, University of Notre Dame, IN 46545, USA2
Department of ECE LBSITW, Poojappura Trivandrum, India2
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong2
Laboratory of Computer Vision & Media Technology, Aalborg University, Niles Jernes Vej 14, Aalborg East, Denmark2
Max Planck Institute for Informatics, Germany2
Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6R 2V4 AB, Canada2
Dept of Computer Engineering, Firat University, Elazig, Turkey2
Department of Electronics and Information Systems, Ghent University, Ghent, East Flanders, Belgium2
School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, P. R. China2
IBM Thomas J. Watson, Research Center, Yorktown Heights, New York 10598, USA2
Research Centre for Computers, Communication and Social Innovation La Trobe University, Victoria - 3086, Australia2
Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran2
INRIA Sophia Antipolis Meditérannée, Valbonne, France2
TCL Research America, San Jose, CA 95134, USA2
Dept. of Eng. Sciences and Appl. Mathematics, Northwestern University, Evanston, IL 60208, USA2
Computer Vision and Remote Sensing, Technical University, Berlin, Germany2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Ngo Quyen, Hai Phong2
Helsinki Institute for Information Technology HIIT, Department of Computer Science, Aalto University, Finland2
School of Data and Computer Science, Sun Yat-Sen University, Guangdong, China2
Dept. of Electrical Engineering, National Cheng Kung University, No. 1 University Rd., Tainan City, Taiwan2
Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye2
Department of Computer Science & Engineering Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Guangxi Key Laboratory of MIMS and the College of Computer Science and Information Technology, Guangxi Normal University, Guilin, China2
TAIST Tokyo Tech, ICTES Program, School of ICT, Sirindhorn International Institute of Technology, Thammasat University, Thailand2
University of Ulm, Ulm, Germany2
Dept. of Electronics Engineering, Pondicherry University, Puducherry, India2
School of Automation, Beijing University of Posts and Telecommunications, Beijing, China2
School of Electrical and Computer Engineering, University of Campinas, Campinas, São Paulo, Brazil, 13083-8522
Department of Electronics and Communications Engineering Yildiz Technical University, Istanbul, Turkey2
Department of Mechanical Engineering, Istanbul Technical University, İnönü Caddesi, Beyoğlu / İstanbul2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea2
Computer Science Department, Boston University, Boston, USA2
Google, Seattle, USA2
Department of Information Systems and Cyber Security and the Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA2
Electronics & Telecommunications Research Institute (ETRI), Daejeon, Korea2
Massachusetts General Hospital, Boston, MA, USA2
Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA2
Institute of Mathematics, JiLin University, Changchun, China2
IBM Research Tokyo, Tokyo Research Lab, Toyosu, Japan2
Electrical Engineering Department Jorhat Engineering College Jorhat, India2
Computer Science and Engineering, Washington University in St. Louis2
Computer Vision and Systems Laboratory, Laval University, Quebec City G1V 0A6, Canada2
Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan2
International Computer Science Institute (ICSI), Berkeley, CA, USA2
LEAR team, Inria Grenoble Rhone-Alpes, France2
Software School, Xiamen University, China2
MIT, Cambridge, MA, USA2
Dept. of Electrical and Electronics Engineering, Bahcesehir University, Istanbul, Turkey2
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hongshan, Wuhuan, Hubei 430074, China2
University of Science and Technology of China, Hefei, People’s Republic of China2
Jiujiang University, Jiujiang, China2
Inria, Villers-les-Nancy, France2
Korea Advanced Institute of Science and Technology, Department of Electrical Engineering, 373-1 Guseong-dong, Yuseong-gu, Daejeon, 305-701, Korea2
IBM Research - Zürich, 8803 Rüschlikon, Switzerland2
University of Chinese Academy of Sciences, Beijing, 100049, China2
UC Berkeley EECS, USA2
Department of d’Informàtica, Universitat de València, Valencia, Spain2
Institution for Infocomm Research, Connexis, Singapore2
EPFL, Lausanne (Switzerland)2
ETHZ, Zurich (Switzerland)2
Department of Computer Science and Automation, Indian Institute of Science, Bangalore, Karnataka, India2
Microsoft Research India Pvt. Ltd, Bangalore, Karnataka, India2
Indiana University Bloomington, Bloomington, IN, USA2
Department of Computer Science, UNC Chapel Hill, NC, 275992
School of Mechatornic Engineering, University Malaysia Perlis (UniMAP), Malaysia2
Beihang University, School of Electronic Engineering, Beijing, China2
Pontifical Catholic University of Rio Grande do Sul2
MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), MOHAMMED V UNIVERSITY (UM5), Rabat, Morocco2
University of Shanghai for Science and Technology, 200093, China2
School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil2
School of Computer Science and Software Engineering, MoE Engineering Center for Software/Hardware Co-Design Technology and Application, East China Normal University, Shanghai 200062, China2
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India2
Electrical Engineering Sharif University of Technology Tehran, Iran2
İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan2
Department of Computer Science, University of Notre Dame, Notre Dame, IN, USA2
Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile2
University of California, Riverside, 92521, United States of America2
Sichuan Police College, Luzhou, China2
Automotive Technology, Technical University of Munich, Garching b. München, Germany2
BILGEM - Ulusal Elektronik ve Kriptoloji Araştırma Enstitüsü (UEKAE), TÜBITAK, Kocaeli, Türkiye2
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK2
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China2
School of Information, Guizhou Financial Institute, Guiyang, China2
Dept. of Inf., Piraeus Univ., Greece2
Visual Computing Institute, RWTH Aachen University, Germany2
Social Robotics Laboratory, University of Freiburg, Germany2
Department of Computer Eng., Faculty of Eng., Sari Islamic Azad University, Sari, Iran2
College of Information Science and Engineering, Dalian Maritime University, Dalian 116026, China2
London Healthcare Sciences Centre, London, ON, Canada2
Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University, Hong Kong2
Nanjing University of Science and Technology, Xiaolingwei, Xuanwu, Nanjing, China2
University of Victoria, Victoria, BC, Canada2
MPI Informatics, Saabrucken2
Caltech, Pasadena2
ENTC dept., Solapur University, N.B.N.Sinhgad College of Engineering, Kegoan, Solpaur, India2
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, China2
Department of Computer Science & Engineering, National Institute of Technology, Rourkela, India2
Electrical and Computer Engineering, Michigan State University, East Lansing, MI, 48824, USA2
JKU, Linz, Austria2
Artificial Vision Laboratory National Taiwan University of Science and Technology2
Computer Engineering Department, İnönü University, Malatya, Turkey2
Cooperative Medianet Innovation Center, Shanghai Key Laboratory of Multimedia Processing and Transmissions, Shanghai Jiao Tong University, Shanghai, China2
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA2
Computer and Software Engineering Department, Toros University, Mersin, Turkey2
Department of Electronic Engineering, City University of Hong Kong, Hong Kong2
School of Mathematical Sciences, Anhui University, Hefei, China2
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan2
Department of Computer Engineering, Bogaziçi University, Istanbul, Turkey2
School of Computer Science, Carnegie Mellon University, USA2
University of Pittsburgh, Pittsburgh2
School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China2
Oxford-Man Institute of Quantitative Finance, University of Oxford, UK2
College of Electronic and Information Engineering, South China University of Technology, Guangzhou, China2
Department of Computer Science, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland2
Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, TX and Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokrit ...2
University of Sousse, Tunisia2
IBM Research, Yorktown Heights, NY, USA2
Dept. of ECE, B.N.M Institute of Technology, Bangalore, India2
Technical University Munich, Garching, Germany2
Facebook Inc., Menlo Park, CA, USA2
Faculty of Technical Sciences, Singidunum University, Belgrade 11000, Serbia2
Department of Informatics, Federal University of Paraná, Curitiba, Brazil2
Computing Department, Federal University of Ouro Preto, Ouro Preto, Brazil2
SiMiT Lab, Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
College of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, Japan2
Department of Computer science and engineering, Walchand College of Engineering, Sangli, India2
Dept. of CSEE, University of Maryland, Baltimore County, Baltimore, MD 212502
Department of Computer Science and Engineering, Toyohashi University of Technology2
Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India2
CSE Department, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India2
Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey2
Polytechnic School, University of Pernambuco, Recife, Brazil2
School of IoT Engineering, Jiangnan University, Wuxi 214122, China2
INRIA Sophia Antipolis, STARS team, 2004 Route des Lucioles, BP93, 06902, France2
Department of Communications and Computer Engineering, University of Malta, Msida, MSD, Malta2
BMW Group Technology Office, 2606 Bayshore Pkwy, Mountain View, CA 94043, USA2
Institute of Geodesy and Geoinformation, University of Bonn, Germany2
School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China2
Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China2
University of KwaZulu-Natal, Durban, South Africa2
National Technical University of Athens, Athens, Greece2
MIRACL laboratory, ISIMS, BP. 242-3021, Sfax, Tunisia2
School of Industrial Engineering, Purdue University, West Lafayette, IN, USA2
Academy of Broadcasting Science, Beijing, P.R. China, 1008662
University of Twente, Enschede2
Computer Science Department at California State University, Fullerton, California, US2
Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, ROC2
Department of Computer Science and Information Engineering National Taiwan Normal University2
Dept. of Comp. Sci. and Inf. Eng, Chung Hua University, Hsinchu, Taiwan2
Dept. of Comp. Sci, National Chiao Tung University, Hsinchu, Taiwan2
Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-18162
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, 689-798, Korea2
Università degli Studi di Milano, Milan, Italy2
MERC, Department of Computer Science, City University of Hong Kong, China2
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China2
Department of Computer Science, University of Maryland, College Park, MD2
Department of Computing and Software, McMaster University, Hamilton, Canada2
Eskişehir Osmangazi University2
Machine Perception Laboratory, University of California, San Diego, La Jolla, 92093, USA2
Department of Electronics and Communication, College of Engineering, Trivandrum, Kerala, India2
Indian Institute of Technology, Madras, Chennai-36, India2
School of Biological Science and Medical Engineering, Southeast University, 210096, Nanjing, Jiangsu, China2
School of Information Engineering, Chang’an University, Xi’an, China2
University of California: Berkeley, Berkeley, CA2
Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya, Japan2
University of Southern California-USA2
Eurecom-France2
Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran2
Samovar CNRS UMR 5157, Télécom SudParis, Université Paris-Saclay, Evry, France2
NCSR Demokritos, Greece2
College of Computer Science and Technology, Wuhan University of Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China2
Centre de développement des Technologies Avancées. Cité 20 Aout, Baba Hassen, 16303, Alger, Algérie2
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, P.R. China2
Beijing E-Hualu Info Technology Co., Ltd, Beijing, China2
Department of Electrical and Computer Engineering, Isfahan University of Technology, 8415683111 Isfahan, Iran2
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore2
Computer Science Department Technical University of Cluj-Napoca2
Odessa National Polytechnic University Odessa, Ukraine2
China Airborne Missile Academy, Luoyang, China2
Sichuan Province Key Lab of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
Department of Computer and Information Sciences, Northumbria University, Newcastle, UK2
Amsterdam Machine Learning Lab, University of Amsterdam, The Netherlands2
Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China2
EEECS/ECIT, Queen’s University Belfast, Belfast, U.K.2
Computer Science and Systems Engineering Department, University of Zaragoza, Spain2
DCC, Pontificia Universidad Católica de Chile, Santiago, Chile2
Electrical Engineering Department, University of Chile, Santiago, Chile2
Université Paris-Saclay, Paris2
SAGE, Advanced Systems in Electrical Engineering, National Engineering School of Sousse(ENISO), University of Sousse, Tunisia2
Department of Electrical and Computer Engineering, Khalifa University, Sharjah, UAE2
Yunnan University, Kunming, Yunnan, China2
National Institute of Standards and Technology (NIST), Gaithersburg, MD2
School of Computing, KAIST2
University of Manchester, Manchester, United Kingdom2
Nanjing University of Aeronautics and Astronautics, Department of Computer Science and Technology2
Department of Informatics, Technische Universität München, 85748 Garching bei München, Germany2
Graduate School of Engineering, Nagasaki University, Nagasaki, Japan2
Institute of Management and Information Technologies, Chiba University, Chiba, Japan2
Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan2
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, 541004, China2
Shenzhen VisuCA Key Lab / SIAT, Chinese Academy of Sciences, China2
Multimedya Sinyal Analiz Laboratuarı, Elektronik ve Haberleşme Müh. Bl., Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
Department of Electrical Engineering and Computer Science, University of California, Berkeley, USA2
State Key Laboratory of Virtual Reality Technology and Systems, School of Astronautics, Beihang University, Beijing, China2
Department of Electrical & Electronic Engineering, The University of Hong Kong, Hong Kong2
Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes, EA 4108, Institut National des Sciences Appliquées, Rouen, France2
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, 400084, Cluj-Napoca, Romania2
I-TEAM, Universidad Politécnica de Valencia, Valencia, Spain2
Software Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Video Processing and Understanding Lab, Universidad Autónoma de Madrid (Spain)2
College of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China2
College of Electronics and Information Engineering, University of Sichuan, Chengdu, china2
University of Ontario Institute of Technology, Oshawa, ON, Canada2
Intelligent Control Systems Laboratory, Griffith University. Brisbane, Australia2
Digital Image, Audio and Speech (DIAST) Lab, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia2
Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus2
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing 100084, China, and the Tsinghua National Laboratory for Information Science and Technology, Beijing, China2
The University of Nottingham2
School of Automation, Southeast University, Nanjing, China, 2100962
Computer Vision Center, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain2
Computer Vision Center, Universitat Autònoma de Barcelona , Cerdanyola del Vallès, Spain2
Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India2
School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Computer Science Department, Technical University of Cluj Napoca2
Bioinspired microelectronics systems group, Nazarbayev University, Astana, Akmola, Kazakhstan2
Michigan State University, East Lansing, USA2
Electrical and Computer Engineering Department, University of Windsor, Ontario, Canada N9B 3P42
Computer Vision and Robotics Research Laboratory, University of California San Diego, USA2
Panasonic Silicon Valley Laboratory, USA2
Northeastern University, China2
Computational Imaging Lab, Department of Technology, University Pompeu Fabra, Barcelona, Spain2
EUP Mataro, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
Department of Computer Engineering, Yazd University, Iran2
Quaid-i-Azam University, Islamabad, Pakistan2
Road Environment Perception Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan2
Dept. of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus SW7 2AZ, UK2
Electrical Engineering Department, Semnan University, Semnan, Iran2
Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir2
Department of Computer Science and Engineering, P.A. College of Engineering and Technology, Pollachi, Tamilnadu, India2
Honda Research Institute Europe GmbH, Offenbach am Main, Germany2
Faculty of Information Technology, King Mongkut's Instituteof Technology Ladkrabang, Bangkok, Thailand, 105202
University of Brunei Darussalam, The More-Than-One Robotics Laboratory, Brunei Darussalam2
Department of Electrical and Computer, Engineering, University of Denver, Denver, CO 802082
Department of Computer Sciences, University of Texas at San Antonio, San Antonio, TX, USA2
Wireless Personal Network Team, Electrics and Telecommunications Research Institute, Deajeon, South Korea2
Department of Electrical and Electronics Engineering, Yonsei University, Seoul, South Korea2
University of St Andrews, St Andrews, KY16 9SX, UK2
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, MALAYSIA2
Mechatronic Engineering Department, Mevlana University, Konya, Turkey2
ITM University, Gwalior, India2
Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, India 8260042
Delphi Deutschland GmbH2
Bergischen Universitat Wuppertal2
Computer Engineering Department, Firat University, Elazig, Turkey2
Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, P. R. China2
HRL Laboratories, LLC, Information Systems and Sciences Lab, Malibu, CA 90265 USA2
University of Delaware, Newark, DE2
American University of Science & Technology, Department of Computer and Communications Engineering, Faculty of Engineering, Beirut, Lebanon2
Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea2
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA2
National Institute of Advanced Industrial Science and Technology, Umezono 1-1-1, Tsukuba, Japan2
Department of Electrical, Computer and IT Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran2
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China2
Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey2
The University of Texas at Arlington, Arlington, TX, USA2
Department of Computer Science, Hong Kong Baptist University, Hong Kong SAR, China2
B. Tech Graduate, ECE, MSIT, C-4 Janakpuri, New Delhi, India2
LIFL University of Lille 1, Telecom Lille 1 institut telecom, Lille, France2
Intelligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, Hollanda2
Department of Computer Science, IIT Kanpur2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India2
Department of Industrial Engineering, University of Salerno, Fisciano, Italy2
Department of Mechanical Engineering, Politecnico di Milano, Italy2
Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Turkey2
Computer Vision Institute, School of Computer Science and Software Engineering, and the Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen University, Shenzhen, China2
GREYC, CNRS UMR 6072, Université de Caen, France2
IIT Indore-452020 India2
Institute of Digital Media, Peking University, Beijing, 100871, China2
College of software, University of Science and Technology Liaoning, Anshan, 114051, China2
Dept. of Elect. & Comm. Engg., Birla Institute of Technology, Mesra, Ranchi, India2
School of Information & Engineering / Cooperative Innovation Center of Internet Healthcare, Zhengzhou University, Zhengzhou, China2
Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, P. R. China2
Sri Sathya Sai Institute of Higher Learning, Prasanthinilayam, AP, India. 5151342
Seminar for Applied Mathematics, ETH, Zürich, Zürich, Switzerland2
Dept of IT, Bannari Amman Institute of Technology, Sathyamangalam2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, UMR5205, Lyon, 69134, France2
Laboratory of Intelligent Recognition and Image Processing, Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China2
Technion2
Key Laboratory of Machine Perception School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China2
Department of Electrical and Computer Engineering, University of Massachusetts, Lowell, MA2
Department of Informatics, Federal University of Paraná, Curitiba, PR, 81531-990, Brazil2
Department Computer Science, Loughborough University, Loughborough, LE11 3TU, UK2
University of Central Lancashire, Preston, United Kingdom2
Linkoping University, Sweden2
Foundation for Research and Technology - Hellas, FORTH, Crete, Greece2
Institute of Clinical Physiology, IFC-CNR, Pisa, Italy2
Department of Computer Science, Okayama University, Okayama, Japan2
School of Mechanical Engineering, Dalian University of Technology, Dalian, China2
Electrical and Computer Engineering Dept., University of Missouri, Columbia, MO 652112
IKERBASQUE, Basque Foundation for Science, Bilbao, Spain2
Electrical and Computer Engineering, Wayne State University, Detroit, Michigan 482022
Instrument Technology Research Center, National Applied Research Laboratories, Taiwan, Republic of China2
Institute of Electrical Control Engineering, National Chiao Tung University, Taiwan, Republic of China2
Center for Digital Media Computing, Shenzhen Institutes of Advanced Technology, Shenzhen, China2
Software Engineering Institute, East China Normal University, Shanghai, China2
IBM Research, China2
POSTECH, Department of Electrical Engineering, Pohang, Korea2
Dept. SAMBA, orwegian Computing Center, P.O. Box 114 Blindern, NO-0314, OSLO, Norway2
Chiba University, Japan2
Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca' Foscari Venezia - Italy2
Institute for Computer Graphics and Vision, Graz University of Technology - Austria2
Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou 310018, China2
Digital Imaging & Mobile Devices Department Omron Cooperation, Kusatsu, Japan2
Department of Electronic Engineering Dalian University of Technology, China2
Northeastern University, Shenyang, Liaoning, China2
Cybernetics Faculty, Military University of Technology, S. Kaliskiego 2, 00-908 Warsaw, Poland2
National Engineering Research Center for E-learning, Central China Normal University, Wuhan, China2
Institute of Computer Science, University of Göttingen, Germany2
Department of Robotics Science and Technology, Chubu University, Kasugai, Aichi, Japan2
Computer Science dept. Technion, Haifa 32000, Israel2
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91109, United States2
University of Pennsylvania, Philadelphia, 19104, United States2
Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, CHINA2
University of Michigan, Ann Arbor, MI 48109, USA2
Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany2
Dept. Orthodontics and Dentofacial Orthopedics, Graduate School of Dentistry, Osaka University, 1-8 Yamadaoka Suita, 565-0871 Japan2
The Center for Advanced Medical Engineering and Informatics, Japan2
The Graduate School of Information, Production and Systems, Kitakyushu, Japan2
Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, San Diego, CA, USA2
Joanneum Research Steyrergasse, Graz, Austria2
Institute of Computing, University of Campinas, Campinas-SP, Brazil, 13083-8522
DIIn, Department of Industrial Engineering, University of Salerno, Fisciano (SA), Italy2
DAEIMI, University of Cassino, Cassino (FR), Italy2
Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada2
Department of Psychology and the Center for Brain Science, Harvard University, Cambridge2
School of Engineering and Applied Sciences, Department of Molecular and Cellular Biology, and the Center for Brain Science, Harvard University, Cambridge2
University of Hawaii at Hilo, HI, USA2
Yuncheng University, Shanxi Province, China2
University of Lincoln, Lincoln, UK2
Division of Graduate Studies of Tijuana Institute Technology, Mexico2
Intel Labs China, Intel Corporation, Beijing, 100086, China2
Tsinghua National Lab for Info. Sci. & Tech., Depart. of Computer Sci.& Tech., Tsinghua University, Beijing, 100084, China2
Group of Biometrics, Biosignals and Security, Research Centre for Smart Buildings and Energy Efficiency (CeDInt), Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain2
Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada2
Department of Computer Science and Engineering, Dankook University, Yongin, South Korea2
Pontifícia Universidade Católica do RS, Porto Alegre-RS, Brazil2
Department of Electronics, University of Batna, Batna, Algeria2
Department of Information Science, College of Applied Computer Science, King Saud University (Almuzahmiyah Branch), Riyadh, Saudi Arabia2
Università degli Studi di Salerno, via Ponte don Melillo, 84084, Fisciano, Italy2
Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States2
College of Communication Engineering, Chongqing University, China2
National Inter-University Consortium for Telecommunications - Florence, Italy2
Institut fur Nachrichtentechnik, Universitat Karlsruhe, Germany2
NUS, Singapore, Singapore2
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Darul Ridzuan, Malaysia2
Medicis team. INSERM U1099, Université de Rennes 1 LTSI, Rennes, France2
Information Engineering and Automation Department, Hebei College of Industry and Technology, Shijiazhuang 050091, China2
Department of Biology, University of North Dakota, Grand Forks, North Dakota 582022
Department of Computer Science, University of North Dakota, Grand Forks, North Dakota 582022
Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland2
Department of Computer Science and Engineering, University of Minnesota2
CyLab Biometrics Center and the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA2
Institute of Telecommunications, Slovak University of Technology, Bratislava, Slovakia2
Digital Media Research Center, Institute of Computing Technology, CAS, China2
Visual Computing Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore2
Department of Electrical and Computer Engineering, Virginia Tech., Blacksburg, VA2
Department of Computer Science, University of Jaffna, Sri Lanka2
Rochester Institute of Technology, Rochester, New York, 14623, USA2
GIPSA Laboratory, Image and Signal Department, Grenoble Institute of Technology, Grenoble, France2
National Engineering School of Sousse, UR: SAGE-ENISo, University of Sousse, Tunisia2
School of Electronics and Computer Science University of Southampton, Southampton SOl7 1BJ UK2
Tsinghua University and DeePhi2
Dept. of Electrical Engineering, National Institute of Technology, Rourkela, India 7690082
Scripps Institution of Oceanography}, University of California, San Diego2
Department of Computer Science and Engineering2
Computer Vision Center, Barcelona, Spain2
Centre of Image & Signal Processing, Fac. Comp. Sci. & Info. Tech., University of Malaya, Malaysia2
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China2
Department of Computer Science and Engineering, POSTECH, Pohang 790-784, Republic of Korea2
Star Technologies, USA2
University of the Witwatersrand2
Department of Computer Science at Rutgers University, NJ, USA2
College of Computer Science at Chongqing University, Chongqing, PRC2
Department of Applied Geomatics, Ching Yun University, Taoyuan, Taiwan2
Queen's University, Belfast, UK2
Competence Center Identification and Biometrics, Fraunhofer Institute for Computer Graphics Research IGD, Fraunhoferstraße 5, 64283 Darmstadt, Germany2
Civil Aviation University of China, Tianjin, China2
Technische Universität Wien, Austria2
IMIS, Athena R.C., Greece2
Intelligent Systems Laboratory, SECOM, Tokyo, Japan2
Department of Biomedical Engineering, Faculty of Engineering, Srinakharinwijot University, Nakhonnayok, Thailand2
Department of Computer Engineering, MIT Pune, India2
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany2
Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore 639798, Singapore2
Department of Technology, Pompeu Fabra University, Passeig de Circumvallació 8, (08031) Barcelona, Spain2
School of Computer Science, Northwestern Polytechnical University, Xi'an2
Robotics Lab, Futurewei Technologies Inc., Santa Clara, USA2
Key Laboratory of Machine Perception (Ministry of Education), Peking Univ., Beijing, China2
Institute of Automatic Control Engineering (LSR), TU München, Germany2
Image Understanding and Knowledge-Based Systems, TU München, Germany2
National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China2
Faculty of Engineering and Information Technology, University of Technology Sydney, Australia2
Department of Electronic Systems, Vilnius Gediminas Technical University, Vilnius, LT-03227, Lithuania2
Department of Informatics & Telecommunications - National & Kapodistrian University of Athens, Greece2
Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia2
Department of Computer science and Engineering, Government College of Engineering, Amravati (MH), India2
School of Computing, University of Dundee, Dundee, U.K.2
Zhejiang Wanli Univ., Ningbo2
CS Dept., UFMG & Kunumi, Brazil2
School of Computer Science and Software Engineering, The University of Western Australia, Perth, Australia2
Mobile Robotics Group, Dept. Engineering Science, University of Oxford, UK2
Shenzhen University, Shenzhen China2
School of information Engineering, Zhengzhou University, China2
Faculty of Science and Technology, University of Souk Ahras, Algeria2
Department of Computer Science, University of Bejaia, Algeria2
Inception Institute of Artificial Intelligence, Abu Dhabi, UAE2
Inst. of Digital Commun., Edinburgh Univ., UK2
State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China2
Visteon Corporation, Pune, India2
Laval University, Quebec City, Canada2
University of California, Berkeley, EECS Department2
Comput. Vision Lab, Central Florida Univ., Orlando, FL, USA2
SIEMENS S.A.S., SWE RC-FR IC-MOL RA R&D, 92320 Chatillon, France2
School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China2
Concordia University, Montreal, QC, Canada2
GREYC-CNRS (UMR 6072), University of Caen Lower Normandy, France2
Purdue Univ., West Lafayette, IN, USA2
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, MD2
Escuela Politecnica Superior, Universidad Autonoma de Madrid, Madrid, Spain2
DMI College of Engineering Palanchur, Chennai, Tamilnadu2
Center for Mathematical Imaging and Vision, and Department of Mathematics, Hong Kong Baptist University, Kowloon, Hong Kong2
Department of Computer Science and Numerical Analysis, University of Córdoba, Spain2
School of Computer Science, University of Adelaide, Adelaide, SA, Australia2
University of Colorado at Colorado Springs2
Department of Information Science and Technology, Jinan University, Guangzhou, China2
Leibniz Universität Hannover, Hannover, Germany2
Instituto de Telecomunicações & Faculdade de Ciěncias da Universidade do Porto2
Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK2
NEC Corporation, Data Science Research Laboratories, Shimonumabe Nakahara-Ku, Kawasaki Kanagawa, 1753, Japan2
Dept. of Comp. Sci. and Tech., Shenzhen Graduate School, Harbin Institute of Technology, China2
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications 400065, China2
University of Ulsan, Graduate School of Electrical Engineering, Korea2
University of Illinois at Urbana, Department of Electrical and Computer Engineering, Beckman Institute, 405 N Mathews Ave, IL, 61801, USA2
University of Science, Vietnam2
Sichuan Province Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA2
Le2i UMR 6306, CNRS, University of Burgundy, France2
National Institute of Advance Industrial Science and Technology, Tsukuba City, Ibaraki, Japan2
Department of Computer and Operations Research, University of Montreal, Montreal, Canada2
Department of Electrical and Computer Engineering, Nazarbayev University, Astana, Kazakhstan2
Faculty of Information Science and Electrical Engineering (ISEE), Kyushu University, Japan2
Faculty of Electrical Engineering, University Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia2
Inf. Syst. Dept., Buckingham Univ., UK2
Korea Electronics Technology Institute2
School of Physics and Optoelectronic Engineering, Dalian University of Technology, Dalian 116024, China2
TUBITAK BILGEM (TUBITAK Centre of Research for Advanced Technologies of Informatics and Information Security), Turkey2
School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia2
Department of Computer Science, University of Liverpool, Liverpool, United Kingdom2
Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.2
Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan, R.O.C.2
Department of Electrical, Computer and Software Engineering, University of Ontario, Institute of Technology, Canada2
Key Laboratory of Intelligent Information Processing and the ICT-ISVISION Joint Research and Development Laboratory for Face Recognition, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
Beijing University of Civil Engineering and Architecture, Beijing, China2
The University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information2
Department of Electrical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea2
Department of Information and Computer Science, Aalto University, Aalto, Finland2
Toyota Research Institute, Cambridge, MA 02142, USA2
NICTA, Locked Bag 8001, Canberra, Australia2
Department of Computer Science, Wayne State University, Detroit, MI, USA2
JOANNEUM RESEARCH, Graz, Austria2
Laboratory of LESIA, University of Biskra, Algeria2
Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, Malaysia2
Dept. of Mechanical Engineering, The University of British Columbia, Vancouver, V6T 1Z4, Canada2
Department of Computer Science, Duke University, Durham, NC, USA2
Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia2
University of Montreal, Department of Computer Science and Operations Research (DIRO), 2920 Chemin de la tour, QC, Canada, H3C 3J72
SITI Laboratory, National Engineering School of Tunis (ENIT), University of Tunis El Manar, Tunis, Tunisia2
Georgia Tech Research Institute, USA2
Department of Mechanical and Aerospace Engineering, Navigation and Electronic System Laboratory, Institute of Advanced Aerospace Technology, Seoul National University, Seoul, South Korea2
New Mexico Consortium, Los Alamos, USA2
Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China2
Shanghai Engineering Research Center for Video Technology and System, Fudan University, Shanghai, China2
Imaging Science and Engineering Laboratory Tokyo Institute of Technology Yokohama 226-8503, Japan2
Keio University, Kanagawa, Japan2
Arizona State University, 4600 S. Dobson Road, Chandler, AZ 852482
Fujian Key laboratory of Sensing and Computing for Smart City, School of Information Science and Technology, Xiamen University, Xiamen 361005, China2
The School of Electronic and Information Engineering, Xi'an Jiaotong University, China2
Artificial Vision Laboratory, Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan2
PAL Robotics, Barcelona, Catalunya, Spain2
Mitsubishi Electric Research Labs (MERL), Cambridge, MA 02139, USA2
School of Engineering, RMIT University, Melbourne, VIC 3083, Australia2
University of California at Merced, Merced, USA2
Technische Universität München, Garching, Germany2
State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China2
Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong2
Department of biomedical engineering, Amirkabir University of technology (Tehran Polytechnic), Tehran, Iran2
Thiagarajar College of Engineering, Madurai, TN 625015 India2
IFRJDL, Institute of Computing Technology, CAS, P.O.Box 2704, Beijing, China, 1000802
Department of Computer Engineering, G. H. Raisoni Collage of Engg and Technology, Pune, India2
School of Engineering and Computing, University of the West of Scotland, Paisley, U.K.2
Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China2
Computer Science Department, University of Southern California, Los Angeles, 90089, United States of America2
ECE Department, Carnegie Mellon University, USA. msavvid@ri.cmu.edu2
School of Computer Science and Software Engineering, East China Normal University, Shanghai, China2
Department of Electrical Engineering, University of Texas, Arlington, TX, USA2
Netaji Subhas Inst. of Technology, New Delhi, India2
Université Jean Monnet, Laboratoire Hubert Curien - UMR CNRS 5516, 18 rue du Professeur B. Lauras, 42000 Saint-Etienne, France2
College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, China2
Faculty of Information Technology, University of Science - VNUHCM, Ho Chi Minh city, Vietnam2
Graduate School of Medicine, Osaka University2
Health Care Center, Osaka University2
LEAD Graduate School and Research Network, University of Tübingen, Tübingen, Germany2
Department of Electrical Engineering, National Cheng Kung University, Taiwan2
College of Computer Science and Technology Wuhan University of Science and Technology, Wuhan, China2
Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey2
Department of Computer Science, College of William and Mary, Williamsburg, VA2
Indiana University of Pennsylvania, Indiana, PA2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong2
M.S. Ramaiah Institute of Technology, Bangalore, India2
Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysuru, India2
National Chiao-Tung University, Hsinchiu, Taiwan2
Dept. of ECE, Mepco Schlenk Engineering College, Sivakasi, India2
Anglia Ruskin IT Research Institute, Anglia Ruskin University, Chelmsford, U.K.2
Intelligent Cognitive Technology Research Department, ETRI Daejeon, Korea2
Northwestern University, Evanston, USA2
University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, Maryland, USA2
Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologia, Monte de Caparica, Portugal2
Systems Engineering Institute, MOE KLINNS Lab and SKLMS Lab, Xi'an Jiaotong University, 710049, China2
CNRS, Irisa & Inria Rennes2
Hefei University of Technology, Hefei, China, China2
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 778432
Fraunhofer-Institute for Integrated Circuits, Erlangen, Germany2
National Institute of Informatics, Japan, Tokyo, Japan2
SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy2
Department of Computer, Control, and Management, Engineering, Sapienza University of Rome, Rome, Italy2
School of Engineering and Digital Arts, University of Kent, Canterbury, Kent CT2 7NT, United Kingdom2
Faculty of Physics and Applied Informatics, University of Lodz, Pomorska str. 149/153, Lodz, Poland2
Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey2
Department of Computer Science and Applications, Bangalore University, India2
Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Haidian District, Beijing, PR China2
Dept. of Computer Science, Yonsei University, Seoul, South Korea, 120-7492
Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA2
Image Formation and Processing Group, Beckman Institute, University of Illinois at Urbana–Champaign, Urbana, IL, USA2
Shenzhen Institutes of Advanced Technology, The Chinese University of Hong Kong, Chinese Academy of Science, Shenzhen, 518055, China2
Graduate School of Integrated Design Engineering, Keio University, Yokohama, Japan2
Department of Computer Science and Egg., Sri Jayachamarajendra College of Engineering Mysore-570006, India2
University of Huddersfield, Huddersfield, West Yorkshire, UK2
School of Aeronautics and Astronautics, Sichuan University, Chengdu, China2
Hankou College, Wuhan, China2
Norwegian Biometrics Laboratory, NTNU, Gj⊘vik, Norway2
Electrical Engineering Department, Stanford University, USA2
SATIE, Université Paris-Sud, Université Paris-Saclay, France2
Robert Bosch GmbH, Stuttgart, Germany2
Epson Research and Development, Inc., 214 Devcon Drive, San Jose, CA 951122
Centre de Visió per Computador. Universitat Autònoma de Barcelona, 08193, Spain2
La Salle, Universitat Ramon Llull. Barcelona 08022, Spain2
Center of Machine Vision Research, Department of Computer Science and Engineering, University of Oulu, Oulu, Finland2
School of Electrical Engineering and Computer Science, Queen Mary University of London, London, UK2
Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA2
Computer Engineering Department, Sharif University of Technology, Tehran, Iran2
School of Computer Science, National University of Defense Technology, Changsha, China2
State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, China2
Department of Electrical and Computer Engineering, Drexel University, Philadelphia, Pennsylvania, USA2
Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia, USA2
School of Information Science and Technology, Huaqiao University, Xiamen, China2
Department of Computer Science & Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia2
Transmural Biotech, Barcelona, Spain2
Human Language Technology and Pattern Recognition Group, RWTH Aachen University2
CSIRO-Data61, Canberra, Australia2
Istituto Italiano di Tecnologia (IIT) & Università di Torino, Genova, Italy2
Istituto Italiano di Tecnologia (IIT) & Università degli Studi di Genova, Genova, Italy2
Center for Information Engineering Science Research (CIESR), School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, P. R. China2
Fac. of Sci., Amsterdam Univ., Netherlands2
Department of Multimedia Communications, EURECOM, Sophia Antipolis, France2
Shenzhen Graduate School, Harbin Institute of Technology, China2
Dept. of ECSE, Rensselaer Polytechnic Institute, USA2
Visual Inf. Process. Group, Imperial Coll. London, UK2
INRIA - Willow Project, Laboratoire d'Informatique, École Normale Supérieure, France2
Department of Computer and Information Sciences, Temple University2
Department of Computing Sciences, Elon University2
Mathematics and Computer Science Dep, Amirkabir University of Technology, Tehran, Iran2
IBM Research-China, Beijing, China2
Sch. of Inf., Wuyi Univ., Guangdong, China2
University of Cagliari, Italy2
Xi An Jiaotong University, China2
Department of Digital Media, Catholic University of Korea, Bucheon, South Korea2
The Interdisciplinary Center Herzliya, Israel2
Cardiff University, UK2
Computer Engineering Department, Galatasaray University, Istanbul, 34349, Turkey2
School of Computer Science and Technology, Tianjin University&Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China2
Department of Industrial and Systems Engineering, Texas A&M University, College Station, Texas, USA2
Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran2
College of Intelligence and Computing, Tianjin University, Tianjin, China2
the Chinese University of Hong Kong, Hong Kong2
Sichuan University, China2
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Romania2
State Key Laboratory of Transient Optics and Photonics, Center for OPTical IMagery Analysis and Learning, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Vision and Sensing, Human-Centred Technology Research Centre, University of Canberra, Canberra, Australia2
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye2
Department of Computing, Informatics institute of Technology, Colombo, Sri Lanka2
Department of CSIE, Hefei University of Technology, Hefei, China2
Sharif University of Technology, Iran2
Bilişim Enstitüsü, İstanbul Teknik Üniversitesi, Turkey2
Assembly and Test Technology Development, Intel Corporation, Chandler, AZ, USA2
School of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA2
School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA2
Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China2
Beijing FaceAll Co. Beijing, China2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, Ecully, France2
Jiangsu Automation Research Institute, Lianyungang, Jiangsu Province, 222061, China2
Department of Computer Science, University of Missouri-Columbia, Columbia, MO, USA2
Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China2
Image Processing and Analysis Laboratory, Applied Electronics and Information Engineering Department, University “Politehnica” of Bucharest, Romania2
Vellore Institute of Technology, Chennai, Tamil Nadu2
National Institute of Technology, Rourkela2
School of electrical and information, South China University of Technology, Guangzhou, China, 5106602
ENET'COM-SFAX, Tunisia2
Graduate School of Engineering, Department of Design and Media Technology, Iwate University, Iwate, Japan2
Department of Computer Engineering, King Mongkut's University of Technology Thonburi, 126 Pracha-uthit Rd., Bang-mod, Thung-Khru, Bangkok 10140, Thailand2
Computer Science Department, State University of New York at Binghamton, USA2
Institute of information science, Beijing jiaotong University, Beijing, China2
Dept. of Computer Science and Information Engineering, National Taipei University2
Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, China2
Liverpool University, UK2
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, People’s Republic of China2
Robert Bosch GmbH, Hildesheim, Germany2
Graduate School of IPS, Waseda University, Kitakyushu, Japan2
Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand2
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 USA2
Southeast University, School of Automation, Nanjing, China2
Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan2
Division of Advanced Information Technology & Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, 184-8588 Japan2
Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand2
Department of Computer Science, Chu Hai College of Higher Education, Hong Kong2
School of Electronics and Information Engineering, Beihang University, Beijing, China2
École de technologie supérieure, Université du Québec, Montreal, Canada2
Computer Science and Engineering Dept., University of Texas at Arlington, TX, USA2
Department of Electrical Engineering, University of Washington, 185 W Stevens way NE, Seattle, 98195, USA2
Department of Computer Science & Information Engineering, National Taiwan University, 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan2
Department of Mechanical and Electronic Engineering, Henan Polytechnic Institute, Nan yang, China2
Universidad Argentina de la Empresa (UADE), Lima 717, Buenos Aires, Argentina2
Tsinghua National Lab for Information Science and Technology, Beijing, China2
Department of Computer Science, Tsinghua University2
Renault S.A.S, 1av. du Golf, Guyancourt, 78288, France2
Department of Computer Science and Engineering, University of Minnesota, USA2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitési2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi2
Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany2
Department of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India2
University of California, Berkeley, USA2
School of Electronic and Information Engineering, South China University of Technology, Guangdong, China2
Electrical Engineering Department, Sahand University of Technology, Tabriz, Iran2
Department of Computer Science, George Mason Univerisity, Fairfax, VA 22030, USA2
MRT/KIT Karlsruhe, Germany2
ICMC/USP Sao Carlos, Brazil2
Harcourt Butler Technological Institute, Kanpur, INDIA2
Department of Computer Science & Engg., Rama University, Kanpur, INDIA2
Social Robotics Lab, Dept. of Computer Science, University of Freiburg, Germany2
ETH Zurich2
Anadolu Üniversitesi Elek. Elektronik, Mühendisliği Bölümü Eskişehir, Türkiye2
Bilgisayar Mühendisliği Bölümü, Deniz Harp Okulu, İstanbul, Türkiye2
Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA2
IETR, CNRS UMR 6164, Supelec, Cesson-Sevigne, France2
Institute of Intelligent Systems and Robotics (ISIR), Pierre and Marie Curie University , Paris, France2
Department of Computer Science, State University of New York at Binghamton, Binghamton, NY 13902, USA2
School of Engineering Newcastle University, ISC Research Group, UK2
Centre for Research and Technology Hellas, Information Technologies Institute 57001, Thessaloniki, Greece2
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China2
Center for Artificial Intelligence, FEIT, University of Technology Sydney, Ultimo, NSW, Australia2
Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, Shanghai, China2
University of Technology, Sydney, NSW, Australia2
Computer & Vision Research Center / Department of ECE, The University of Texas at Austin, USA2
School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China2
Engineering Mathematics - Computer and Systems Engineering2
College of Information and Software Engineering, Northeast Normal University, Changchun, China2
CNRS Heudiasyc UMR 7253, Université de Technologie de Compiègne, Compiègne, France2
Department of Computer Engineering, Amirkabir University of Technology, Tehran, Iran2
SUPELEC/IETR, Team SCEE, France2
Department of Engineering Science, University of Oxford, Oxford, U.K2
Department of Computer Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran2
BioCom - Bioinspired Computing Laboratory, Department of Computer Science, University of Sao Paulo, Brazil2
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing2
Center of assistive Research Technologies (CART), Engr. College, WSU, Dayton, OH2
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore Block S2.1, 50 Nanyang Avenue, Singapore 6397982
Department of Electrical and Computer EngineeringCollege of Engineering, University of Miami, Coral Gables, FL, USA2
DIIn, University of Salerno, via Giovanni Paolo II, 132, Fisciano - Italy2
Department of Mechanical Engineering, Politecnico di Milano, via La Masa, 1, Italy2
DIEI, University of Cassino and of Southern Lazio, (FR) - Italy2
Enformatik Enstitüsü, Orta Doğu Teknik Üniversitesi, 06800, Ankara, Türkiye2
School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China2
Department of Electronic Engineering, Kwangwoon University, Seoul, Republic of Korea2
Division of Information and Computer Engineering, Ajou University, Suwon, Republic of Korea2
Department of Computer Engineering, Kyung Hee University, Suwon, Republic of Korea2
Department of Computer and Information Sciences, Northumbria Univeristy, Newcastle upon Tyne, UK2
Software School, Hunan University, Changsha 410082, China2
Academia Sinica, Taipei, Taiwan and National Taiwan University, Taipei, Taiwan2
School of Engineering and Digital Arts, University of Kent, Canterbury, UK2
Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, P.R. China2
Sch. of Electron. & Comput. Sci., Southampton Univ., UK2
Università degli Studi di Verona, Verona, Italy2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, UK2
Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea2
Faculty of Engineering Technology, Hasselt University, Diepenbeek, Belgium2
Universita degli Studi di Palermo, Dipartimento di Ingegegneria Informatica, Viale delle Scienze, 90128, ITALY2
School of Computer Science, China University of Geosciences, Wuhan, 430074, China2
DUT-RU International School of Information and Software Engineering, Dalian University of Technology, Dalian, China2
CEA, Gif-Sur-Yvette, France2
UMR CNRS - Univ. Bourgogne, Dijon, France2
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pom-peu Fabra - UPF, Roc Boronat, 138 - 08018 - Barcelona, Spain2
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Hubei, China2
Toyota Research Institute, North America, Ann Arbor, MI, USA2
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, United Kingdom, GU2 7XH2
College of Automation, Nanjing University of Posts and Telecommunications, China2
Department of Computer Science Faculty of Science, Khon Kaen University, Khon Kaen, 40002, Thailand2
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park, MD, USA2
CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France2
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Canada2
SYSU-CMU Shunde International Joint Research Institute, Sun Yat-Sen University, Guangzhou, China2
Department of National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Institute of Automation, Beijing, China2
Sch. of Software, Tsinghua Univ., Beijing, China2
School of Information Science and Engineering, Yunnan University, Kumming, China2
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN2
Department of Automation Science and Electrical Engineering, Beihang University, Beijing, China2
DISI University of Trento, Povo - Italy2
Center for Machine Vision Research (CMV), University of Oulu, Finland2
Institute of Software, Dalian Jiaotong University, China2
Computer Sciences at The University of Texas at Austin, 78712, USA2
Institute of Automatic Control, Silesian University of Technology, Akademicka 2A, Gliwice, Poland2
Electrical & Electronic Engineering Department, Mevlana University Konya, Turkey2
University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Slovenia2
Department of Computer Science & Engineering, National Institute of Technology Meghalaya, Meghalaya, India2
DGIST, Hyeonpung-Myeon, Dalseong-Gun Daegu, South KOREA2
ECE. Department, University of Windsor, Windsor, Ontario, Canada N9B 3P42
University of Technology Sydney, Ultimo, NSW, Australia2
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, People’s Republic of China2
Shenyang SIASUN Robot & Automation Co., LTD., Shenyang, China2
Department of Computer Science, Universitat Oberta de Catalunya, Barcelona, Spain2
Department of Advanced Engineering Daimler Trucks, Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany and the Institute of Industrial Information Technology, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany2
Dept. of Electronics and Multimedia Telecommunications, Technical University of Kosice, Kosice, Slovakia2
University of Groningen, Nijenborgh 9, 9747 AG, The Netherlands2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-452020 India2
Department of Computer Science, University of Mauritius, Reduit, Mauritius2
University of Science and Technology of China, NO.443, Huangshan Road, Hefei, Anhui, China2
Department of Computer and Information Sciences, Jinling Institute of Technology, Nanjing, China2
Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, Chongqing, China2
Baidu2
Division of Psychology and Language Sciences, University College London, UK, WC1E 6BT2
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany2
Dept. of Imaging Sci. & Biomed. Eng., Manchester Univ., UK2
Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH, USA2
School Computer and Information, Hefei University of Technology, Hefei, China2
Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105202
School of Electrical Engineering and Informatics, Department of Computer Science, Bandung Institute of Technology, Bandung, Indonesia2
The University of Tokushima, Tokushima 770-8506, Japan2
Biometric and Imaging Processing Laboratory (BIPLab)2
University of Naples Federico II2
Warsaw University of Technology2
Research and Academic Computer Network (NASK)2
SensoMotoric Instruments (SMI)2
Maastricht University2
Università di Salerno Italy2
University of Beira Interior, IT: Instituto de Telecomunicações2
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France2
Toyota InfoTechnology Center, U.S.A., Inc.2
Carmine Senatore Exponent, Inc.2
Department of ComputingBiometrics Research Centre, The Hong Kong Polytechnic University, Hong Kong2
The University of Minnesota, Minneapolis, MN, USA2
Northwestern University, Evanston, IL, USA2
Technische Universität Darmstadt, Darmstadt2
Department of Computer Science, Pohang University of Science and Technology, Korea2
Informatics Institute, University of Amsterdam, Science Park, Amsterdam, Netherlands2
Faculty of Telecommunications, Technical University of Sofia, Bulgaria2
Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India2
Dept. of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH, USA 45469-02322
Facebook AI Research (FAIR), Menlo Park, USA2
IBM Research Lab, China2
Dept. of Electrical and Computer Engineering, University of Windsor, 401 Sunset Avenue, Windsor, ON, N9B 3P42
Faculty of Education, East China Normal University, Shanghai, China2
Samsung Research & Development Institute, Bangalore, India2
South China University of Technology, Guang Zhou, China2
The University of the West Indies, Mona Campus, Kingston 7, Jamaica, W.I.2
Department of Applied Mathematics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil2
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Sciences, Mysuru Campus, Karnataka, India2
Graduate Faculty of Information Science and Electrical Engineering, Kyushu University, Motooka, Nishi-ku, Fukuoka 819-0395, Japan2
Pennsylvania State University, University Park, PA2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
Department of Artificial Intelligence, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, 50603, Malaysia2
Toyota Technological Institute at Chicago2
Karlsruhe Institute of Technology2
TTI-Chicago, USA2
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan2
UMIACS, University of Maryland, College Park2
Stony Brook University, Stony Brook, NY2
Learning Affect and SemantIc Imaging (LASII) Group, Indian Institute of Technology Ropar, India2
Department of CS&E, IIT Madras, India2
Australian Centre for Visual Technologies, School of Computer Science, The University of Adelaide, Adelaide, SA, Australia2
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University2
Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan2
Dept. of Computer Science University of Illinois Urbana-Champaign (UIUC)2
Dept. of Electrical Engineering, Indian Institute of Science Bengaluru, India2
Member2
ETH Zurich, Zurich2
Ind. Technol., Purdue Univ., West Lafayette, IN, USA2
Department of Electronics, Faculty of Electrical Engineering and Information Technology, University of Oradea, Universitatii Str.1, Oradea, Romania2
Department of Electrical and Computer Engineering, Rutgers, The State University of New Jersey2
AI Institute of Qihoo 360, Beijing, China2
National University of Defence Technology, Changsha 410000, China2
University of Alberta, Edmonton, Alberta2
State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China2
Tampere University of Technology, Finland2
State University of New York at Binghamton, 13902, USA2
Department of Electrical Engineering, National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, 4800 Calhoun Rd., TX, 770042
Department of Geography, George Washington University, USA2
Malviya National Institute of Technology Jaipur, India-3020172
Institute of Telecommunications, Slovak University of Technology Bratislava, Slovakia2
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, 430073, China2
PES Center for Pattern Recognition, PESIT- Bangalore South Campus, India2
Biodata Mining Group, Technical Faculty, Bielefeld University, Germany2
Elektrik ve Elektronik Mühendisliği Bölümü, Makine ile Öğrenme ve Bilgisayarlı Görü Laboratuvarı, Eskişehir Osmangazi Üniversitesi2
Digital Media Lab, Department of Applied Physics and Electronics, Umeå University, 901-87, Sweden2
Institute of Automation, CAS, Beijing, China2
Faculty of Engineering & IT University of Technology, Sydney, Australia2
Queensland University of Technology (QUT), Australia2
School of Electronic Engineering, University of Electronic Science and Technology of China, 611731, Chengdu, Sichuan, China2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, Turkey2
Biometrics Engineering Research Center, School of Electrical & Electronic Engineering, Yonsei University, Seoul, Korea2
Microsoft Research Asia2
Institute of Electronics and Computer Science, Riga, Latvia2
GE Global Research, Bangalore, India2
Delft University of Technology, Mekelweg 4, Netherlands2
University of Rochester, NY 14627, USA2
Department of Perception Engineering, University of Tuebingen, Germany2
Human-Machines Interaction (HMI) Laboratory, Department of Industrial Informatics, TEI of Kavala, Kavala, Greece2
Department of Computer Science and Engineering, Michigan State University2
IDIAP Research Institute, Rue Marconi 19, 1920 Martigny, Switzerland2
Department of Electrical and Computer Engineering, Coordinated Science Laboratory, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., Urbana, IL 61801, USA2
Labged Laboratory, Computer Science Department, Badji Mokhtar Annaba University, Algeria2
LAAS-CNRS and Universite Paul Sabatier, Toulouse, France2
Department of Computer Science, Universidade Federal de Minas Gerais – UFMG 31270-010, Belo Horizonte, MG – Brazil2
Dept. of Electrical Engineering, Future Institute of Engineering and Management, Kolkata -700150, India2
Queensland University of Technology, Brisbane, Australia2
University of Houston, Houston, TX2
College of Engineering, Center of Engineering Technology, Graduate University of the Chinese Academy of Sciences, Beijing, China2
Electrical Engineering Department, University of São Paulo, São Carlos, Brazil2
Video/Image Modeling and Synthesis (VIMS) Laboratory, University of Delaware, Newark, DE, 19711, USA2
Computer Science & Engineering Department B.T.K.I.T Dwarahat Almora, India2
Technical University of Sofia, 8 Kl. Ohridski blvd., Sofia 1000, Bulgaria2
University of Benghazi, Faculty of Information Technology(IT), Libya2
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Università degli Studi di Milano–Bicocca, Milano, Italy2
NanoComputing Research Laboratory, Rochester Institute of Technology, Rochester, NY 146232
EUP Mataró, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
Xidian University, Xi'an, China2
Govt. College of Engineering, Amravati, India2
Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Institute for Autonomous Systems Technology(TAS), University of the Bundeswehr Munich, 85577 Neubiberg, Germany2
School of Software, Henan University, Kaifeng, China2
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, 70569 Stuttgart, Germany2
Informatics Institute, Faculty of Science, University of Amsterdam, 1098 XH Amsterdam, The Netherlands2
Computer Vision Laboratory, ETH Zurich2
Shenzhen Graduate School, Harbin Institute of Technology, Xili University Town, Shenzhen, China2
LAMIA, EA 4540, University of French West Indies & Guyana2
Institut Telecom - Telecom ParisTech CNRS/LTCI, Paris2
Harbin University of Technology2
Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany2
University of Illinois at Chicago, Chicago, Illinois2
Merses, Center for Applied Research, Pforzheim University, Germany2
Dept. of Mathematics and Computer Science, University of Perugia, Italy2
Dept. of Computer, Control and Mgmt. Engineering, University of Rome La Sapienza, Italy2
General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel2
Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, China2
The University of Texas at Austin, Austin, TX, USA2
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China2
College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China2
MPSTM, NMIMS University, Mumbai2
Sorbonne universités, Université de technologie de Compiègne, CNRS 7253 UMR/Heudiasyc. CS 60319, 60203 Compiègne cedex2
Department of Computational Mechanics, Faculty of Mechanical Engineering, University of Campinas. Rua Mendeleyev, 200 - CEP 13083-860 Cidade Universitária Zeferino Vaz - Campinas - SP2
Enjoyor Labs, Enjoyor Inc., Hangzhou, China2
Wuhan University of Technology, Wuhan 430070, China2
Center for Automation Research and the Department of Computer Science, University of Maryland, College Park, MD2
Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Sun Yat-sen University, Guangzhou, China2
University of Bochum, Institute for Neural Computation2
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China2
School of Electronic Engineering, Xidian University, Shaanxi, P. R. China2
International Research Institute MICA, Hanoi University of Science and Technology2
Department of Computing, Imperial College London, United Kingdom2
UNESP - São Paulo State University, Bauru, São Paulo2
TU Dortmund, Pattern Recognition in Embedded Systems Group, Dortmund, Germany2
Chair of Materials Handling and Warehousing2
Department of Electronics, Graduate School of Engineering, Tohoku University, Japan2
School of Computer Engineering and Science, Shanghai University2
University of Sydney, Sydney, Australia2
Norwegian Biometric Laboratory, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway2
U.S. Army Research Laboratory, Adelphi, MD, USA2
Institute of Information Science, Academia Sinica, Taiwan2
NEC Labs America2
Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network Technology, Institute of Information Science, Beijing, 100044, China2
Department of Computer Science and Electrical Engineering, University of Michigan at Ann Arbor, Ann Arbor, MI 48109, USA2
Université de Technologie de Compiègne (UTC)2
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China2
Department of Computer Science, Texas State University, San Marcos, TX, USA2
Department of Computer Science and Engineering and Centre for Vision Research, York University, Toronto, Canada2
Center of Modern Education Technology, Changchun Chinese Medicine University, 130051, China2
School of Information and Engineering, Wenzhou Medical University, Wenzhou, China2
Department of Computer Engineering, CGPIT, Uka Tarsadia University, Bardoli, Surat, India2
There Centre, Institute of Media Innovation, Nanyang Technological University, Singapore2
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA2
Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China2
Video/Image Modeling and Synthesis (VIMS) Lab, Department of Computer and Information Sciences, University of Delaware, Newark, DE. USA2
Indian Institute of Technology Ropar, India2
Department of Electrical and Computer Engineering, University of Windsor2
SUPELEC / IETR, Avenue de la Boulaie, 35576 Cesson Sevigne, France2
Chongqing University of Posts and Telecommunications, Chongqing, 400065, PR China2
University of Central Florida School of Electrical Engineering and Computer Science, Orlando, FL2
Department of Computer Science, The University of Hong Kong, Hong Kong2
School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Key Laboratory for Machine Perception (KLMP), Shenzhen Graduate School, Peking University, China2
University of Evry Val d’Essonne, IBISC (Informatics Integrative Biology and Complex Systems) Lab., 40 rue du Pelvoux, 91025, Evry, France2
CNRS, IMB, UMR 5251, Talence, France2
UMR 5800, CNRS, LaBRI, Talence, France2
UMR 5800, University of Bordeaux, LaBRI, Talence, France2
UMR 5800, Bordeaux INP, LaBRI, Talence, France2
UMR 5800, LaBRI, Talence, France2
College of Graduate Studies, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia2
Department of Advanced Systems Control Engineering, Saga University, Japan2
Department of Computer Engineering, Sejong University, Gwangjin-gu, Seoul, Korea2
Szczecin University of Technology, Szczecin, Poland2
Face Aging Group, Department of Computer Science, UNC Wilmington, Wilmington, USA2
Department of Computer Science and Engineering, CEG, Anna University Chennai, India2
Dept. of Electrical Engineering, National Taiwan University, Taiwan2
Tongji University, Shanghai 201804, P.R. China2
Department of Computer Science, University Of Central Florida2
Imaging Science and Engineering Lab, Tokyo Institute of Technology-Japan2
Image Processing and Interpretation, University of Gent2
Technical University of Sofia, 8 blvd. Kliment Ohridski, Sofia 1756, Bulgaria2
University of Colorado Boulder, Boulder, USA2
Idiap Research Institute, 1920, Martigny, Switzerland2
Department of Instrumentation and Control, College of Engineering Pune, India2
School of Computer Science and Technology, Xidian University, Xi’an, China2
Signal Processing Group, Basis of Electronics Department, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Cluj-Napoca, Cluj-Napoca, 400114, Romania2
University of the Witwatersrand, Johannesburg, South Africa2
Comuter Science Department, TU-Darmstadt, Germany2
Dept. of Comput. Sci. & Eng., Inha Univ., Incheon, South Korea2
Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, Ultimo, NSW, Australia2
Department of Electronic EngineeringInstitute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China2
Department of Communication Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Taoyuan County 320, Taiwan +886-3-4638800 ext. 73232
Beckman Institute for Advanced Science and Technology, Coordinated Science Laboratory, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 61801 U.S.A.2
UC Berkeley, USA2
Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan2
Senior Member, IEEE, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 790-784, South Korea. phone: 82-54-279-2880, 2214; fax: 82-54-279-5594; e-mail: dreaming@postech.ac.kr, syoh@postech.ac.kr2
Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, 790-784, South Korea. phone: 82-54-279-2880, 2214; fax: 82-54-279-5594; e-mail: dreaming@postech.ac.kr2
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia2
Drexel University2
George Mason University2
Electrical Engineering Department Jadavpur University Kolkata, India2
Dept. of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan 300132
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran2
Department of Electronics & Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476672
School of Electronic and Information Engineering, Beihang University, 100083, China. E-MAIL: moukyou@buaa.edu.cn2
Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, Malaysia2
Dept. of CSIE, National Taiwan University of Science and Technology, Taiwan2
Computer Engineering Kyung Hee University Yongin-si, South Korea2
Gipsa-Lab, Saint-Martin d'Hères, France2
Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan2
Research Center for Information Technology Innovation, Taipei, Taiwan2
Department of Computer Science, University of Houston, Texas 77004, United States2
Department of ECE, National Institute of Technology, Rourkela (Odisha), India2
Department of Electrical and Computer Engineering, Carnegie Mellon University2
University of Science and Technology Beijing, Beijing, China2
School of Information Science and Technology, Beijing Institute of Technology, China2
School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia2
Department of Computer Science, Swansea University, United Kingdom, SA2 8PP2
Interactive & Digital Media Institute, National University of Singapore, Singapore2
Nanjing Tech University, Nanjing, China2
Departments of Computer Science, Boston University, Boston, MA 022152
School of Information Engineering, University of Science and Technology Beijing, 100083, CHINA2
University of Bath2
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing 100049, China2
School of Computer Science and Engineering, Beihang University, Beijing 100191, China2
Sapientia Hungarian University of Transylvania, Hungary2
Faculty of Computer Science, University of Karlsruhe (TH), 76131 Karlsruhe, Germany2
King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand2
Yahoo! Labs, Haifa, Israel2
Department of Information Technology, R. A. I. T, Nerul, Navi Mumbai, India2
Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Key Laboratory of Machine Perception (Ministry of Education), Peking University, China2
Center for Research in Computer Vision, University of Central Florida, Orlando, USA2
Graduate School and the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Dept. of ECE, Maryland Univ., College Park, MD, USA2
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, PR China2
School of Automation, Shanghai Jiao Tong University, Shanghai, China2
Elektrik ve Elektronik Mühendisliği Bölümü, Bogaziçi Üniversitei2
Research Institute of Intelligent Control and Systems, Harbin Institute of Technology, Harbin, China2
Intel Corporation, Hillsboro, OR 971242
Department of Mathematics and Computer Science, Gannan Normal University, Ganzhou, People’s Republic of China2
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, People’s Republic of China2
Department of Computer Science and Technology, Tongji University, Shanghai, People’s Republic of China2
Department of Civil Engineering, The University of British Columbia, Vancouver, BC, Canada2
Institute for Infocomm Research at A*STAR, Singapore2
Institute of Computing, University of Campinas, SP, Brazil, 13083-8522
DISI - Università degli Studi di Genova, Via Dodecaneso 35 - I16146 - Italy2
Indian Statistical Insitute, Kolkata 7001082
College of Computer and Information Science, Southwest University, Chongqing, China2
School of Information, Linyi Normal University, 276005, China2
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, UK2
Interactive Media Systems Group, Vienna University of Technology, Vienna, Austria2
IBM T.J. Watson Research Center, Yorktown Heights, NY 10598, USA2
Computer, Electronic and Security Research Group, University of Northumbria2
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, Jiangsu, China2
B-DAT Laboratory, School of Information and Control, Nanjing University of Information and Technology, Nanjing, China2
Group Research, Daimler AG, Ulm, Germany2
University of Illinois’ Advanced Digital Sciences Center, Singapore2
Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland 20740 United States2
University of Cambridge, Cambridge, United Kingdom2
DITEN, University of Genova, Italy2
Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam2
Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, United States2
School of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK2
BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany2
School of Electronics, Electrical and Computer Engineering, University of Birmingham, Birmingham, U.K.2
State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
IETR/UMR CNRS 6164, INSA, Rennes, France2
University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam2
Dept Computer Science, Dept Mathematics and Statistics, HIIT, University of Helsinki2
Luohu Branch, Shenzhen Municipal Public Security Bureau, Guangdong, China2
School of Computing, Informatics and Media, University of Bradford, Bradford, UK2
Electrical and Computer Engineering Department, University of Nevada, Las Vegas, 89154, USA2
School of Electrical and Computer Engineering, Universidade Estadual de Campinas, São Paulo, Brazil 13083-8522
University of Groningen, Groningen, The Netherlands2
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, 70101, Taiwan2
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada2
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada2
School of Engineering, Sun Yat-sen University, Guangzhou, China2
Dept. of Computer Science, Courant Institute, New York University2
HEUDIASYC Mixed Res. Unit, Compiegne Univ. of Technol., France2
Vrije Universiteit Amsterdam, Amsterdam, NL2
Key Lab of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China2
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW 2007, Australia2
Department of Computer Science, University of Toronto, Toronto, Canada2
Università di Salerno v. Ponte don Melillo, 84084, Fisciano (IT)2
Dept. of Telecommunication, Siddaganga Institute of Technology (SIT), Tumkur, India2
Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece2
Department of Informatics and Telecommunications, University of Athens, Athens, Greece2
St. Pölten University of Applied Sciences2
Wearable Computing Laboratory, Swiss Federal Institute of Technology, Zürich, Switzerland.2
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA2
Delft University of Technology, The Netherlands2
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Türkiye2
Department of Forestry and Management of the Environment, Democritus University of Thrace, Orestiada, Greece2
Machine Perception Laboratory, Beihang University, Beijing, 100191 China2
Science and Technology on Parallel and Distributed Processing Laboratory, College of Computer, National University of Defense Technology, Changsha 410073, China2
State University of New York at Buffalo, Buffalo, NY, USA2
Panasonic Singapore Laboratories Pte Ltd (PSL), Tai Seng Industrial Estate 534415, Singapore2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea2
Tsinghua University, Department of Electronic Engineering, Beijing, China2
University of Texas at Arlington, Arlington, USA2
Machine Learning and Computer Vision Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, West-Java Indonesia2
College of Machatronics Engineering, National University of Defense, Chang Sha, China2
Mobile Robotics and Intelligence Lab. (MORIN), the Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea2
HumanRobot Interaction Research Center, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea seojh2
Faculty of Electrical and Electronics Engineering, Firat University, Elazig, Turkey2
Department of Electrical Engineering, IIT Hyderabad, Kandi, Telangana, 502285, India2
School of Design, Zhejiang Wanli University, Ningbo, China2
Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Graduate University of Chinese Academy of Sciences, Beijing, China2
College of Information Science and Engineering Ritsumeikan University, Kusatsu, Japan2
Department of Computer Engineering, College of E&ME, National University of Sciences and Technology, Islamabad, Pakistan2
Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia2
Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China2
Universidad Tecnica Federico Santa Maria, Department of Electronic Engineering, Valparaiso, Chile2
EAVISE, Technology Campus De Nayer, KU Leuven, Belgium2
School of Information and Engineering, Wuyi University, Jiangmen 529020, Guangdong, China2
School of Automation, South China University of Technology, Guangzhou 510000, Guangdong, China2
Department of Electrical and Electronic Engineering University of Hong Kong, Hong Kong Hong Kong, China2
School of Computer Science, Reykjavik University, Reykjavík, Iceland2
Carnegie Mellon University (CMU)2
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China, Department of Mathematics, Menoufia University, Menoufia, Egypt2
USP - University of São Paulo / ICMC, SSC - LRM (Mobile Robots Lab.), São Carlos, 13566-590, Brazil2
Department of Communications & Computer Engineering, University of Malta, Msida, MSD20802
Broadcasting & Telecommunications Media Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea2
Faculty of the Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China2
Department of Electrical and Computer Engineering, Coordinated Science Laboratory and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Ave., 61801, USA2
ESAT - PSI, iMinds, KU Leuven, Leuven, Belgium2
Computer Science Department, University of Mossouri, 65211, USA2
School of Computer Science and Software Engineering, East China Normal University, 3663 Zhongshan North Road, Shanghai, China2
Delhi Technological University, Delhi2
Electrical Engineering, Indian Institute of Technology, Gandhinagar, India 3823552
University of Udine, Via Delle Scienze, 206, 33100, Udine, Italy2
State Grid Zhejiang Electric Power CO. LTD, China2
Gazi Üniversitesi, Turkey2
University of Maryland, College Park, MD, 207422
Intelligent Fusion Technology, Inc, Germantown, MD, USA2
Faculty of Science and Technology, University of Macau, China2
Philips Research, Eindhoven, The Netherlands2
School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, 74078, USA2
TU Berlin2
Beijing Institute of Science and Technology Information2
College of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China2
School of Information Science and Technology, Huizhou University, Huizhou, China2
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Perth, Australia2
Centre for Development of Advanced Computing, Mumbai, India2
Xerox Research Centre Europe, Meylan, France2
Centre for Vision, Speech and Signal Processing, School of Electronics and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK2
Miovision Technologies Inc., Kitchener, Canada2
Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands2
Centre de Développement des Technologies Avancées, Algeria2
Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China2
Dept. of Electronics and Communication Engineering, Hanyang University, Sangnok-gu, Korea2
SPAWAR Systems Center Pacific, San Diego, California, USA2
Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY2
Electrical Engineering Department AmirKabir University of Technology Tehran, Iran2
Institut Fresnel, Université de Marseille, Marseille, France2
Department of Psychology/Brain Research Institute, Chungnam National University, 220, Gung-dong, Yuseong-gu, Daejeon, 305-765, S. Korea2
Department of Computer Science, The University of Liverpool, Liverpool, UK2
Laboratory for Pattern Recognition and Computational Intelligence, University of Applied Sciences Aschaffenburg, Germany2
University of Canterbury, Christchurch, New Zealand2
Center for Artificial Intelligence and RObotics (CAIRO), Aswan University, Sahari 81528, Egypt2
University of Calgary, Calgary, Canada2
College of Computer Science and Electronic Engineering, Hunan University, Changsha Hunan, P. R. China2
Beckman Institute, University of Illinois at Urbana, Champaign, USA2
Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Human Machines Interaction (HMI) Laboratory, 65404 Kavala, Greece2
College of Electronic Science and Engineering, Nanjing University, Nanjing, China2
School of Computer Science and Engineering, The University of Aizu, Japan, Tsuruga, Ikkimachi, Aizuwakamatsu-city, Fukushima prefecture, 965-8580 Japan2
Infotech Oulu, Oulu Univ., Finland2
Computer Vision Laboratory, University of Sassari, Italy2
School of Electrical Engineering and Computer Science, Seoul National University, Korea2
School of Electronic and Informatics Engineering, Jiangsu University, Zhenjiang, China2
A*STAR, Singapore2
Computer and Automation Research Institute H-1111, Kende u. 13-17, Budapest, Hungary2
School of Computer and System Science, Jawaharlal Nehru University, New Delhi, India2
Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, China2
The University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN 37996, USA2
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore2
University of Science and Technology of China, Hefei, P.R. China2
Jordan University of Science and Technology, Irbid, Jordan2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Texas 77204, USA2
Toyota Research Institute, North America, Toyota Technical Center, Ann Arbor, MI 48105, USA2
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102
The Australian National University RSCS, ANU, Canberra, Australia2
Aristotle University of Thessaloniki, Dept. of Informatics Box 451, Thessaloniki 541 24, Greece2
Department of Psychology, University of Northern British Columbia, Prince George, Canada2
Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China2
Sensing and Industrial Imaging, Siemens Corporate Technology, Munich, Germany2
Multimedia Communications and Signal Processing, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany2
Dept. of Electrical Engineering, LUMS, Pakistan2
Thales, Moirans, France2
School of Information Science and Engineering, Yunnan University, Kunming 650091, China2
Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong2
Lincoln Centre for Autonomous Systems, School of Computer Science, University of Lincoln, Lincoln, U.K.2
Software School, Xiamen University, Xiamen, PR, 361005, China2
IIIT Bangalore, India2
Institut de Robòtica i Informàtica Industrial (CSIC-UPC)2
Guangzhou University, Guangzhou, China2
Pittsburgh Univ., PA, USA2
Columbia University, New York, NY2
Department of Information Engineering, the Chinese University of Hong Kong, Shatin2
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China2
Başkent University, Ankara, TURKEY2
Department of Computer Science, Hong Kong Baptist University, China2
College of Information Science and Technology, Nanjing Forestry University, Nanjing, China2
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China2
Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK2
Karlsruhe Institute of Technology, Germany2
Fudan University, China2
Iowa State University, USA2
OSRAM GmbH, Germany2
Intel, Nizhny Novgorod, Russia2
National Research Council, Italy2
Computer Vision and Remote Sensing, Berlin University of Technology, Sekr. FR 3-1, Franklinstr. 28/29, 10587, Germany2
TeV, Fondazione Bruno Kessler, Trento, Italy2
Team of research SIIVA - RIADI laboratory, Institut supérieur d'informatique (ISI), Tunisia2
Department of Signal Processing, Tampere University of Technology, Finland2
Center for Optical Imagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
School of Computer and Information Science, Southwest University, Chongqing, China2
Distributed Events Analysis, Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary2
Faculty of Computer Engineering, Shahid Rajaee Teacher Training University. Shabanlou, Lavizan, Tehran, Iran2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China2
Harbin Engineering University, Harbin, Heilongjiang, 150001, China2
Friedrich Schiller University Jena, Jena, Germany2
Institute for Inforcomm Research 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386322
NRU Higher School of Economics, Moscow, Russia2
Toyota Research Institute, North America, Ann Arbor, USA2
Computer and Information Sciences Department, Temple University, Philadelphia, PA USA2
College of Information Science and Engineering, Ritsumeikan University, Kusatsu-shi, 525-8577, Japan2
ATR Center, Wright State University, Dayton, Ohio2
National University of San Agustin - UNSA, Arequipa - Peru2
Brno University of Technology, Brno-střed, Czech Republic2
Deutsche Welle, Bonn, Germany2
GSI Universidad Polit-écnica de Madrid, Madrid, Spain2
Science and Engineering Faculty, Queensland University of Technology, Australia2
Samsung Electronics, Korea2
Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi, India2
Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, China2
Automobile Transport Command Department, Military Transportation University, Tianjin, China2
School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China2
University of Chinese Academy of Sciences, School of Computer and Control Engineering, Beijing, China2
Nesamony Memorial Christian College, Marthandam - 629165, Tamil Nadu, India2
Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland2
Organization of Advanced Science and Technology, Kobe University, Japan2
Department of Electrical and Computer Engineering, Video Processing and Communication Lab, University of Missouri, Columbia, MO, USA2
EURECOM, Campus SophiaTech, Sophia Antipolis, France2
Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea2
Fac. of Inf. Sci. & Technol., Multimedia Univ., Melaka, Malaysia2
Division of Computing Systems, School of Computer Engineering, Nanyang Technological University, Singapore, Singapore2
Department of Computer Science, Guangdong University of Technology, Guangzhou, China2
Shenzhen University, Shenzhen2
Shenzhen Institutes of Advanced Technology, The Chinese Academy of Sciences, Shenzhen2
Department of Computer Engineering, Ferdowsi University of Mashhad, Iran2
Department of Artificial Intelligence, Islamic Azad University, Mashhad Branch, Mashhad, Iran2
Graduate University, Chinese Academy of Sciences and Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
Orange Labs International Center Beijing, Beijing, 100876, China2
Chinese Academy of Sciences, Beijing, P.R.China2
Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, P.R. China2
Department of Electrical Engineering & Computer Science, University of Kansas, Lawrence, 66045-7621, USA2
School of Business Northwest Normal University, Lanzhou, China2
National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, P. R. China2
School of Computer Science and Technology, Beijing Jiaotong University, Beijing, 100190, P. R. China2
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, USA2
University of Maryland, College Park, College Park, USA2
University Sidi Mohamed Ben Abdellah, Faculty of Sciences and Technology, Laboratory of Renewable Energies and Intelligent Systems, Fez, Morocco2
IRIP Lab, School of Computer Science and Engineering, Beihang University, Beijing, China2
University of the Bundeswehr, Munich Werner-Heisenberg-Weg, 39 85577 Neubiberg, Germany2
Aalborg University, Aalborg, Denmark2
German Research Center for Artificial Intelligence (DFKI GmbH), Saarland Informatics Campus, Saarbrücken, Germany2
College of Computer and Information Engineering, Henan University, Kaifeng, China2
State Key Laboratory of Software Engineering, Computer School, Wuhan University, Wuhan, China2
Johnson Controls Inc., Milwaukee, Wisconsin2
Université de Toulouse ; UTM-IUT de Figeac ; LRP-mip (Laboratoire de recherche pluridisciplinaire du nordest de Midi-Pyrénées) ; Avenue de Nayrac, F-46100, FIGEAC, France2
CRISTAL laboratory, GRIFT research group, National School of Computer Sciences (NSCS), La Manouba 2010, Tunisia2
Department of Computer Science, Chengdu University of Information Technology, Chengdu, China2
POSTECH Pohang, Republic of Korea2
Ocular Imaging Department, Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore2
Laboratory for Sensor and Modeling, Department of Geoinformatics, University of Seoul, Seoul, Korea2
School of Electrical and Information Engineering, University of Sydney, Camperdown, NSW, Australia2
Signal Processing Lab, IEETA / DETI University of Aveiro, 3810-193 Aveiro, Portugal2
Video Surveillance Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Image Processing and Pattern Recognition Laboratory, Beijing Normal University, 100875, China2
Beijing Key Laboratory of Information Service Engineering, Beijing Union University, 100101, China2
School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore, Singapore2
Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK2
The Hong Kong Polytechnic University, Hong Kong2
Harbin Institute of Technology, China2
Tsinghua University, China2
School of Electrical and Computer Engineering, Platform Technologies Research Institute, RMIT University, VIC 3001, Australia2
School of Electrical and Information Engineering, Shanghai University of Electric Power, Shanghai, China 2000902
Machine Learning Department, Carnegie Mellon University, Pittsburgh, USA2
Language Technologies Institute, Carnegie Mellon University Universidade NOVA Lisboa, Pittsburgh, USA2
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam-7880102
Koc University, Istanbul, Turkey2
Southwest Jiaotong University, China2
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA2
Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York 146232
School of Electrical and Computing Engineering, University of Campinas, Campinas 13083-852, Brazil2
Department of Computing, Imperial College London, London, 180 Queen’s Gate, UK2
Department of Computing, Curtin University, Bentley, Australia2
Merses Center for Applied Research, Pforzheim University, Germany2
Bilgisayar Mühendisligi Bölümü, İstanbul Teknik Üniversitesi2
Department of Electrical Engineering, 43 Sec.4 Keelung Rd., Taipei, Taiwan2
School of Computer and Information, Hefei University of Technology, 230009, China2
Escola Superior de Saude de Alcoitão, Alcoitão, Portugal2
Universidade NOVA Lisboa, Caparica, Portugal2
Research&Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai 201804, P.R China2
University of Nottingham2
Department of Computer Science, University of North Carolina at Chapel Hill2
Australian Center for Visual Technologies, and School of Computer Science, University of Adelaide, Canberra, Australia2
IT Department, SSN College of Engineering, Chennai, India2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla, CA 92093 USA2
Imperial College London, Department of Electrical and Electronic Engineering, UK2
INRIA Grenoble Rhône-Alpes, France2
Graduate School of Electrical Engineering, University of Ulsan, 133-791, Korea2
Mechanical and Aerospace Engineering, Carleton University, Ottawa, Canada2
Universidade Federal do Paraná, Curitiba, Brazil2
Carleton University, Ottawa, Ontario K1S 5B6, Canada2
Dept. of Appl. Phys. & Electron., Umea Univ., Sweden2
Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China2
Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-ku, Seoul, Korea2
School of Computer Science and Technology, Tianjin University, China2
Chinese Academy of Sciences, Xi'an, China2
PRaDA, Deakin University, Australia2
Department of Computer Science, Purdue University, West Lafayette, USA2
College of Information Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China2
Beckman Institute, University of Illinois Urbana-Champaign, Urbana, IL, USA2
Department of Electrical and Electronics Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, India2
Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria2
Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China2
Center for Biometrics and Security Research, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
Department of Computer Science, Boston University, Boston, USA2
Michigan State University, East Lansing, MI2
Precise Positioning and Analytics Department, Fraunhofer Institute for Integrated Circuits IIS Nürnberg, Nürnberg, Germany2
Programming Systems Group (Informatics II), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany2
School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines2
School of Data and Computer Science, Sun Yat-sen University, China2
Department of Computer Science and Engineering, National Taiwan Ocean University, No.2, Beining Rd., Keelung 202, Taiwan2
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China2
Nanotechnology and Integrated Bio-Engineering Centre (NIBEC), Faculty of Computing and Engineering, University of Ulster (Jordanstown campus), Northern Ireland2
Dept. Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan2
Department of Computer Science, St Joseph Engineering College, Vamanjoor, Mangaluru2
Dept. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, China2
BestImage Lab, Tencent Co., Ltd., Shanghai, China2
Modelling and Digital Science, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Türkiye2
Department of Computer Science, New Jersey Institute of Technology, Newark2
IIT Madras, Adyar, Chennai, Tamil Nadu, India2
Pandit Dwarka Prasad Mishra and Indian Institute of Information Technology, Design & Manufacturing, Jabalpur - 482 0052
School of information engineering, university of science and technology, Beijing, 100083, China2
State Key Laboratory of Robotics, Shenyang Institute Automation, Chinese Academy of Sciences, Shenyang, 110016, China2
Key Lab of Intel. Inf. Proc., Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China2
DTIS, ONERA, Université de Paris Saclay, Palaiseau, F-91123, France2
More-Than-One Robotics Laboratory, University of Brunei Darussalam, Brunei Darussalam2
Faculty of Electrical, Electronic, Computer and Control, Engineering - Computer Science, Lodz University of Technology, Lodz, Poland2
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, USA2
Computer Science Department, University of Illinois at Urbana-Champaign2
Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece2
Dept. of IT CEC, Landran, Mohali, India2
Luoyang Electro-Optical Equipment Research Institute, Luoyang, People’s Republic of China2
Schepens Eye Research Institute, Harvard University, Cambridge, USA2
Image Processing Center, Beihang University, Beijing, People’s Republic of China2
Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, USA2
Department of Electrical engineering, Graduate university of Advanced Technology, Kerman, Iran2
Research & Innovation Center, Ford Motor Company2
Computer Science and Engineering, Rajshahi University of Engineering and Technology2
State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China2
Brigham Young University, Electrical and Computer Engineering, Provo, UT2
University of Maryland, College Park, College Park, MD, USA2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Gutleuthausstrasse 1, 76275 Ettlingen, Germany2
DIBRIS - Università degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)2
School of Computer and Communication, LanZhou University of Technology, LanZhou, China2
Michigan State University, East Lansing, MI, USA2
Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou, China2
Faculty of Automation, Guangdong University of Technology, Guangzhou, People’s Republic of China2
Instituto de Tecnologia - UADE, Buenos Aires, Argentina2
Dept. of Computing, The Hong Kong Polytechnic University, China2
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Japan2
University of Oulu, Machine Vision Group, P.O. Box 4500, 90014, Finland2
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, 100190, Beijing, China2
Islamic University of Technology, Bangladesh2
Institute of Informatics, Federal University of Rio Grande do Sul, Brazil2
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil2
Eindhoven University of Technology, The Netherlands2
Hewlett-Packard Laboratories, Palo Alto, CA, USA2
Graduate School of IPS, Waseda University, Kitakyushu, lapan2
Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India2
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10.2
School of Computer Science, National University of Defense Technology2
School of Chemical Engineering, The University of Queensland, Australia2
Columbia University2
Massachusetts Institute of Technology2
National Chung Cheng University2
D.Y. Patil college of engg., Akurdi, Pune2
Telecom ParisTech, CNRS-LTCI, 46 rue Barrault, 75013 Paris, France2
Global Big Data Technologies Centre, University of Technology Sydney, Australia2
School of Science and Engineering, Meisei University, Hodokubo, Hino-city, Tokyo, Japan2
The Department of Measurement, University of Ulm, Control and Microtechnology, Ulm, 89081, Germany2
Daimler AG, Research and Development, Ulm, 89081, Germany2
Vision Lab, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom2
School of Engineering, Computing & Science, Swinburne University of Technology, Kuching, Malaysia2
School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China2
Rensselaer Polytechnic Institute, USA2
School of Computer Science and Technology, Nanjing Normal University, Nanjing, China2
Technical University of Munich, Munich, Germany2
Robert Bosch GmbH, Renningen, Germany2
Sichuan Key Laboratory of Signal and Information Processing, Southwest Jiaotong University, Chengdu, China2
Idiap, Switzerland2
Kingston University, London, United Kingdom2
EyeVerify, Inc., Kansas City, USA2
Sullivan Nicolaides Pathology, Australia2
School of Electricity and Electron Engineering, Changchun University of Technology, Changchun China2
Department of Computer & Information Science, University of Macau, Macau2
Department of Electrical & Computer Engineering, The Ohio State University, OH2
Cyprus University of Technology2
Institute of Information and Communication, Beijing University of Posts and Telecommunications, Beijing, China2
Image Processing and Computer Vision Group, Computer Science Department, Universidad de Buenos Aires, Argentina2
Electrical and Computer Engineering, The University of Texas at Austin, 201 E 24th Street, 78705, USA2
College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China2
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran2
Beijing Key Laboratory of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, Beijing, China2
School of Computer Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu2
Faculty of Electrical Engineering, Federal University of Uberlândia, Brazil2
Institute for Information Technology and Communications, University of Magdeburg, Germany2
The University of Texas at Arlington, USA2
College of Computer Science, Zhejiang University of Technology, 310023 Hangzhou, China2
Instituto de Investigaciones en Ingeniería Eléctrica, Departamento de Ingeniería Eléctrica y de Computadoras, Universidad Nacional del Sur (UNS)-CONICET, Argentina2
Electrical and Computer Engineering Department, Semnan University2
College of Computer Science, Chongqing University, chongqing, China 4000302
Institute for Robotics and Intelligent Systems, University of Southern California, Los Angeles, USA2
Georgia Institute of Technology, Atlanta, GA, USA2
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland2
School of Computer and System Sciences, Jawaharlal Nehru University, New Delhi, India2
Islamic University of Technology, Gazipur-1704, Bangladesh2
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India2
Florida International University2
Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, Türkiye2
Department of Computer Science and Information Engineering, National Taipei University of Technology Taipei 10608, Taiwan2
State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China2
South Valley University, Qena, Egypt2
Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh2
Department of Mechanical Engineering, Chittagong University of Engineering and Technology, Chittagong, 4349, Bangladesh2
Department of Electrical Engineering, Tafresh University, Tafresh, Iran2
State Key Laboratory of High Performance Computing (HPCL) and College of Computer, National University of Defense Technology, Changsha, China2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, People’s Republic of China2
School of Comm. and Info. Engineering, Beijing University of Posts and Telecom., China2
Microsoft Research Ltd., Cambridge, UK2
Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan2
Defence Research and Development Canada, Valcartier, Quebec2
UK Defence Science and Technology Laboratory, Porton, Salisbury, UK2
Department of Computer Science, University of Otago, Dunedin, New Zealand2
School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China2
Institute of VLSI Design, Zhejiang University2
Faculty of Engineering Technology, University Hasselt2
Ningbo University, Ningbo, China2
School of Control Science and Engineering, Dalian University of Technology, Dalian, China2
Univ. of Cambridge, Computer Laboratory2
School of Automation Science and Electrical Engineering, BeiHang University, Beijing, China2
Center for Forensics, Biometrics and Privacy, Faculty of Organization and Informatics, Varaždin, Croatia2
Electronics and Computer Science, Southampton University, UK2
Department of Multimedia Communications, EURECOM, Les Templiers, Biot, France2
Institute of Information Science, Academia Sinica, Taipei, Taiwan Roc2
Dalian Key Lab of Digital Technology for National Culture, Dalian MinZu University, Dalian, 116600, China2
Institute of System Science, Northeastern University, Shenyang, 110089, China2
Computing & Information Science and Computer Engineering, Rochester Institute of Technology, NY 14623, USA2
Dept. of Language, Literacy, and Sociocultural Studies, University of New Mexico, United States2
image and video Processing and Communications Lab (ivpcl.unm.edu), University of New Mexico, United States2
E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Ciudad Real, Spain2
Metaio GmbH2
University of Caen, Caen, France2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea2
Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea2
Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, 15213, USA2
Denso Corporation, Kariya, Japan2
Research Center of Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Department of System Architecture, ZTE Corporation, Shenzhen, China2
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10 Turkey2
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh PA 15213, USA2
Graduate School of IPS, Waseda University, Japan2
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR2
Department of Radiology, University of Pennsylvania, Philadelphia, PA2
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand2
Dept. Electronic Engineering, Natuonal University of Ireland, Galway2
University of Massachusetts2
Gwangju Institute of Science and Technology, School of Electrical Engineering and Computer Science, Gwangju, Korea2
College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan2
Computer Laboratory, University of Cambridge, England2
Osaka University, Graduate School of Information Science and Technology, 1-5 Yamadaoka, Suita, Osaka, 565-0871, Japan2
CSE Department Chandigarh University, Gharuan Mohali, Chandigarh2
University of California at Irvine, Irvine2
Intelligent Systems and Biomedical Robotics Group, The School of Computing, State Key Laboratory of Mechanical System and Vibration, University of Portsmouth, Shanghai Jiao Tong University, Portsmouth, Shanghai, U.K.China2
School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China2
Institution of Intelligent Systems, College of Computer Science, Intelligent Systems and Biomedical Robotics Group, The School of Computing, Zhejiang University of Technology, University of Portsmouth, Hangzhou, Portsmouth, ChinaU.K.2
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel2
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China2
School of Computer and Information Engineering, Hefei University of Technology, Hefei, China2
Department of Computer Science and Engineering, Michigan State University, East Lansing, USA2
School of Mathematical Science, UCAS, China2
Dept. of Electronic and Communication Engineering Hanyang University ERICA2
Institut TELECOM ; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France2
The University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, Canada2
TÜBİITAK-BİILGEM-UEKAE, Anibal Cad., P.K.74, 41470, Gebze-KOCAELİ, Turkey2
School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia2
New Industry Creation Hatchery Center, Tohoku University, Sendai, Japan2
Graduate School of Information Sciences, Tohoku University, Sendai, Japan2
Sun Yat-sen University, China2
University of California, Los Angeles2
Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, China2
Department of Computer Science, University of Calgary, AB, Canada2
Computer Science Institute, Hochschule Ruhr West, Germany, Bottrop 462402
Department of Computer Science, University of Verona, Verona - Italy2
DGIST2
Western Kentucky University, Department of Computer Science, Ogden College of Science & Engineering, Bowling Green, KY 42101, USA2
Warsaw University of Technology, Department of Automation and Aeronautical Systems, Warsaw, Poland2
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, China 3100182
Department for Technology, Innovation and Enterprise, Singapore Polytechnic, Singapore 1396512
Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong2
Sichuan Univ., Chengdu2
Academy of Broadcasting Science, No.2 Fuxingmenwai Road, Xicheng District, Beijing, China2
Beijing University of Posts and Telecommunications, No.10 Xitucheng Road, Haidian District, Beijing, China2
Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil2
National Engineering Research Center for E-Learning, Central China Normal University2
Data Analytics and Computer Vision Department, PARC, a Xerox Company, Webster, NY, USA2
Department of Electrical Engineering, National Chaio Tung University, Hsinchu, Taiwan2
Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA2
Department of CSE, GGITS, Jabalpur2
School of Computing, Queen's University, Kingston, Canada2
Dept. of Computer Science, University of Illinois Urbana-Champaign (UIUC), USA2
University of Vigo, Spain2
University of South Florida, Tampa2
Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi, India2
Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Electrical Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Computer Science, University of Texas at San Antonio2
National Key Laboratory of Science & Technology on Multi-Spectral Information Processing, School of Automation, Huazhong University of Science and Technology, Wuhan, China2
Department of Computer Science, Rhodes University, Grahamstown, South Africa2
Fondazione Bruno Kessler, University of Perugia, Trento, Perugia, Italy2
Zhejiang University, HangZhou, China2
Research Center of Applied Statistics and Big Data, Huaqiao University, Xiamen, 361021, China2
BeingThere Centre, Institute of Media Innovation, Nanyang Technological University, Singapore2
Signals and Systems Group, Faculty of EEMCS, University of Twente, the Netherlands2
IRISA (CNRS, Univ. Rennes 1), Campus de Beaulieu, Rennes, France2
Instituto de Ciências Exatas e Informática, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, Brazil2
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil\2
Department of Computer Science, Colorado State University, Fort Collins, CO 80523, USA2
School of Electrical Engineering, Zhengzhou University, Zhengzhou, China2
Technical University of Cluj Napoca2
Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York United States2
Computer Vision Laboratory, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore2
Anhui University, HeFei, China2
AI Speech Ltd., Suzhou, China2
Research Center of Machine Learning and Data Analysis, School of Computer Science and Technology, Soochow University, Suzhou, China2
Department of Information and Control, Nanjing University of Information Science & Technology, Nanjing, China2
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China2
School of Computer Science and Technology2
School of Information Technologies, University of Sydney, NSW 2008, Australia2
Instituto de Ciências Matemáticas e de Computação, University of São Paulo, Brazil2
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India2
Rensselaer Polytechnic Institute, Troy, NY, USA2
Intelligent Recognition and Image Processing Laboratory, School of Computer Science and Engineering, Beihang University, Beijing, 100083, China2
Department of Computer and Information Science, University of Macau, Macau 999078, China2
Advanced Digital Sciences Center, University of Illinois at Urbana-Champaign, Singapore2
REGIM: Research Groups on Intelligent Machines, University of Sfax, ENIS, Sfax, Tunisia2
Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia2
Dept. of Mech. and Automation Engineering, The Chinese University of Hong Kong2
Media Computing Group, Microsoft Research Asia, Beijing, China2
Department of Computing Science, University of Alberta, Edmonton, Canada2
Department of Applied Mathematics, School of Science, Northwestern Polytechnical University, Xi'an 710072, China2
College of Informatics, Huazhong Agricultural University, Wuhan P.R. China 4300702
Portland State University, Portland, OR, USA2
University of Thessaly Dept. of Computer Science and Biomedical Informatics, Papasiopoulou, Lamia, Greece2
Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia2
Graduate School of Engineering, Hiroshima University, Higashihiroshima, Hiroshima 739-8521, Japan2
Dept. of Math. and CS, Western Kentucky University, USA2
Institute of Measurement and Control Systems, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany2
Dept of Computer Sci & Electrical Eng, West Virginia University, Morgantown, United States2
NCCU, USA2
WVU, USA2
Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye2
Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye2
LIVIA, École de technologie supérieure, Université du Québec, Montréal, Canada2
Department of Electronic and Electrical Engineering, The University of Sheffield, South Yorkshire, U.K.2
Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, School of Electronics and Information Engineering, Anhui University, Hefei, China2
Istituto Italiano di Tecnologia2
University of Verona2
Department of Electrical Engineering, Princeton University, Princeton, NJ, USA2
Universitat Pompeu Fabra, Barcelona, Spain2
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China2
University of Dundee, Dundee, UK2
Imperial College London, London, UK2
Technical University of München, Garching, Germany2
University of Bern, Bern, Switzerland2
University College London, London, UK2
School of Computer Engineering, Nanyang Technological University, Singapore 6397982
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom2
Korea Advanced Institute of Science and Technology School of Electrical Engineering2
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye2
Department of Mathematics, Centre for Mathematical Imaging and Vision, Hong Kong Baptist University, Hong Kong2
Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China2
Department of Computer Science, University of Texas, San Antonio, TX, USA2
Universidad Autónoma of Madrid (Spain)2
Seoul National University, Seoul, South Korea2
Intelligent Vehicle IT Research Center at Seoul National University, Seoul, South Korea2
Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA2
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway2
Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak Malaysia2
Centre for Intelligent Machines, McGill University, Montréal, Canada2
Department of Computer Science, Thomas J. Watson School of Engineering and Applied Science, SUNY Binghamton University, Binghamton, NY2
Department of Computer Science, Grove School of Engineering, CUNY City College, New York, NY2
Department of Computer Science, CUNY Graduate Center, New York, NY2
Department of Electrical Engineering, Grove School of Engineering, CUNY City College, New York, NY2
IBT, University of Tampere, Tampere, Finland2
DEIS, University of Bologna, Cesena, Italy2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy2
Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National Central University, Jhongli, Taiwan2
Deep Learning Group, Microsoft Research, Redmond, Washington United States2
Dept. of Computer & Communication Engineering, Daegu University, Gyeongsan-City, 38453, South Korea2
Duke University, NC, USA2
School of Educational Information and Technology, Central China Normal University, Wuhan, China2
Deptartment of CSIE, Chung-Hua University, Hsinchu, Taiwan2
University of Florence, Firenze, Italy2
Visual Learning and Intelligence Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India2
Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland2
Computational Biomedicine Lab, Department of Computer Science, University of Houston, Houston, USA2
Disney Research, CH2
National Laboratory of Pattern Recognition, CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China2
ACL Laboratory at Sharif University of Technology2
Captial Normal University, Beijing2
Water Optics Technology Pte. Ltd, Singapore2
Harbin Institute of Technology, Shenzhen, China2
Universitat de Barcelona, Spain2
Computer Vision Center (UAB), Spain2
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA2
Virginia Tech, USA2
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, 33204 Gijón, Spain2
SINERCO, Rendueles Llanos 8, 33205 Gijón, Spain2
Toyota Technological Institute at Chicago, Chicago, IL, USA2
Toyota Technological Institute, Nagoya, Japan2
Electrical and Control Engineering, National Chiao Tung University, Hsinchu, Taiwan2
Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA2
Department of Physics and Electronics, Beijing University of Chemical Technology, Beijing, China2
University of Nottingham, Nottingham, United Kingdom2
University of Wisconsin-Madison, United States2
Artificial Intelligence Laboratory, University of Tsukuba, Japan2
Huizhou University, Huizhou, China2
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China2
Ars Electronica Futurelab, Linz, Austria2
Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China2
Multimodal Signal Processing Laboratory, The University of Texas at Dallas, Richardson, TX2
GE Healthcare, London, ON, Canada2
University of Maryland, College Park, MD2
University of Califonia, Berkeley, Berkeley, CA, USA2
P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation2
Simon Fraser University, Surrey, BC, Canada2
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China2
Yahoo Labs, San Francisco, USA2
Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China2
Kitware Inc., Clifton Park, NY, USA 120652
Dipartimento di Informatica, Università di Salerno, Fisciano, Italy2
Magister Teknik Informatika, Universitas Atma Jaya Yogyakarta, Sleman, Indonesia2
Stony Brook University, Stony Brook2
Autonomous Intelligent Systems, Computer Science Institute VI, University of Bonn, 53113, Germany2
University of California, Irvine, USA2
The Weizmann Institute of Science, Rehovot, ISRAEL2
Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France2
Laboratory for Intelligent and Safe Automobiles, University of California San Diego, La Jolla CA 92092, USA2
Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy2
TOYOTA Central Research and Development Labs, 41-1, Yokomichi, Nagakute, Aichi, Japan2
Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea, Gwangju, Korea2
Center for Future Media & School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China2
Institute of Linguistics Chinese Academy of Social Sciences, Beijing, China2
Environment Perception, Daimler AG, Sindelfingen, Germany2
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand2
Institute of Computing, University of Campinas, Campinas, SP, 13083-852, Brazil2
Australian National University, Canberra2
Department of Information Technology, Noorul Islam University, Kumaracoil - 629180, Kanyakumari District, Tamilnadu2
Institute of Industrial Science, the University of Tokyo, 4-6-1 Komaba, Meguro-ku, JAPAN2
Laboratory of Automated Queuing Systems and Signal Processing, V. A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia2
Department of Electronics & Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, India2
Department of Information & Communication Technology, ABV-Indian Institute of Information Technology & Management, Gwalior, India2
Department of Computer Science, National Chiao Tung University, Taiwan2
West Virginia University, MILab, LCSEE, 395 Evansdale Drive, Morgantown, 26506-6070, U.S.A.2
Dept. of Intelligent Interaction Technologies, University of Tsukuba, Japan2
Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taiwan2
School of Electronics& Information Engineering, Xi'an Jiaotong University, China2
School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, Guangdong Province, China2
Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia2
School of Computer Science and Software Engineering, The University of Western Australia, Nedlands, WA, Australia2
Department of Information Engineering, Chinese University of Hong Kong, Hong Kong2
Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, Guangzhou, China2
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China2
Department of Computer Technology, Shanghai Jiao Tong University, Shanghai, China2
College of Computer Science, Chongqing University, Chongqing 400044, China2
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China2
Radboud University Nijmegen, The Netherlands2
Rutgers, The State University of New Jersey2
Dhirubhai Ambani Institute of Information and Communication Technology, India2
IT Innovation Centre, University of Southampton, United Kingdom2
Department of Electronic, Computer and Biomedical Engineering, Islamic Azad University, Qazvin branch, Iran2
Graduate School of Engineering, Osaka University 2-1 Yamadaoka, Suita, 565-0871, Osaka, Japan2
Advanced Perception Center of Aptiv (previous Delphi Corporation), Electronics & Safety, Agoura Hills, CA, 91301, USA2
Media Analytics Dept., NEC Laboratories America, Inc., Cupertino, CA 95014, USA2
Centre of Development of Advanced Computing (CDAC), Mumbai, 400049, India2
National Chiao Tung University, Hsinchu, Taiwan Roc2
Microsoft Research, Beijing, Taiwan Roc2
Compute Science and Engineering, Arizona State University, Tempe, 85281, USA2
National University of Defense Technology, Hunan, China2
Robotics Institute, Carnegie Mellon University2
Swiss Federal, Institute of Technology, Lausanne (EPFL), Switzerland2
Department d'InformatiqueESST, Tunisia2
Department of Computer EngineeringKhalifa University, UAE2
School of Computer Science and Engineering, University of New South Wales, Kensington, NSW, 2052, Australia2
Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Korea2
School of Data and Computer Science and Guangdong Key Lab. of Information Security and Technology, Sun Yat-Sen University, Guangzhou, China2
GREYC, CNRS UMR 6072, Université de Caen2
Microsoft Research Cambridge, UK2
Harbin Institute of Technology, Weihai, China2
Department of Computer Science, COMSATS Institute of Information Technology, Lahore, Pakistan2
LMU Munich, Germany2
IRCV Group, Rovira i Virgili University, Reus, Spain2
Grundlagen Elektro-Technnik Laboratory, Paderborn University, Paderborn, Germany2
Department of Electrical Engineering, National Chiao Tung University, Hsinchu 300, Taiwan2
Google, Mountain View, USA2
Center for Automation Research, UMIACS, University of Maryland, College Park, USA2
Department of Electrical and Computer Engineering, University of Macau, Macau, China2
Polytechnic School of Pernambuco, University of Pernambuco, Recife-PE, Brazil2
Computer Science & Engineering, PEC University of Technology, Chandigarh, India2
Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Computer Engineering Department, Vishwakarma Institute of Technology, Pune2
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Turkey2
Escola Universitaria Politecnica de Mataro, Spain2
Laboratory Heudiasyc, University of Technology of Compiègne, BP 20529. F-60205, France2
Visual Intelligence Research Group Electronics and Telecommunications Research Institute, Daejeon, Korea2
Knowledge e-Learning Research Group2
Department of Mechanical Engineering, Temple University, Philadelphia, 19122, PA2
Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia2
West Virginia University, Electrical Engineering, Morgantown, USA2
School of Computer, China University of Geosciences, Wuhan, China2
School of Digital Media, Jiangnan University, Wuxi 214122, Jiangsu, China2
School of Mathematics and Statistics, Yunnan University, Kunming, China2
Institut für Informatik, Ludwig-Maximilians-Universität München, Munich, Germany2
Department of Computer Science, Aarhus University, Denmark2
Czech Technical University, Prague, Czech Republic2
Department of Informatics, University of Hamburg, Germany2
Max-Planck Institute for Informatics, Saarbrücken, Germany2
Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 133-791, Korea2
Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education, Chongqing, China2
Eastman Kodak Company, Rochester, USA2
Naver Labs Europe, Meylan, France2
Center for Special Needs Education, Nara University of Education, Takabatake-cho, Nara-shi, Nara, Japan2
School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Electrical and Computer Engineering, University of Victoria, BC, Canada2
Sapienza Università di Roma, Roma, Italy2
Computer Science Department, University of Moncton, NB, Canada, E1A 3E92
Department of Computer Sciences, The University of Texas at San Antonio, San Antonio, TX, USA2
Automated Driving Department, Forschungs-gesellschaft Kraftfahrwesen mbH Aachen, Aachen, Germany2
Automated Driving Department, Institute for Automotive Engineering, RWTH Aachen University, Aachen, Germany2
Department of EEE, Indian Institute of Technology (IIT) Guwahati, India-7810392
Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Austria2
Institute of Applied Mathematics, Academy of Science, Beijing, 100190, China2
State Key Lab of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China2
Department of Biomedical Engineering, Oregon Health & Science University, Beaverton, 97006, USA2
Elektronik ve Haberleşme Mühendisliği Bölümü, NETAŞ Telekomünikasyon A.Ş, İstanbul, Türkiye2
National University of Singapore, Nanyang Avenue, Singapore2
IoT and Robotics Convergence Research Division, Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu, Republic of Korea2
Broadcasting & Telecommunications, Convergence Media Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Department of Digital Systems, University of Piraeus, Piraeus, Greece2
National Technical University of Athens, Athens2
GRIFT Research Group, CRISTAL Laboratory, National School of Computer Sciences, University of Manouba, Tunisia2
Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
Dept. of Electronics, Rajiv Gandhi Institute of Technology (RIT), Kottayam, Kerala, India2
Institute of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan2
Department of Electronic Engineering and Information Science, CAS Key Laboratory of Electromagnetic Space Information, University of Science and Technology of China, Hefei, China2
Department of Medical Informatics, University of Medicine and Pharmacy “Victor Babes”, Piata Eftimie Murgu, 300041 Timisoara2
University of California, Riverside Riverside, CA, 92521, USA2
Universidad Politécnica de Valencia, Instituto Tecnológico de Informática, Camino de Vera s/n, 46022 (Spain)2
University of California, Merced, CA2
University Carlos III of Madrid, Univ. Group for Identification Technologies, Avda. Universidad, 30, E-28911 - Leganes; SPAIN2
Computer Science, University of Haifa, Carmel, 31905, Israel2
Computer Graphics and Interactive Media Lab, Department of Computer Science, University of Houston, Houston, USA2
Intel Labs, Pittsburgh PA2
Department of Sciences and Information Technology, University of Sassari, Viale Mancini 5, 07100 Sassari, Italy2
College of Computer Science and Software Engineering, Shenzhen University, China2
California Institute of Technology, Jet Propulsion Laboratory, Pasadena, CA, USA2
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China2
OFFIS - Institute for Information Technology, Oldenburg, Germany2
University of Oldenburg, Oldenburg, Germany2
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India 3820072
Dept. Matemàtica Aplicada i Anàlisi, UB, Barcelona, Spain2
Computer Vision Center, Cerdanyola del Vallès, Spain2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an City, 710049, China2
Department of Electrical Engineering and Advanced Institute of Manufacturing with High-Tech Innovations, National Chung Cheng University, Chiayi, Taiwan2
Department of Computer and Software Engineering, Polytechnique Montréal, Montréal, QC, Canada2
Dept. of Electronic and Computer Engineering, Brunel University London, Uxbridge, UB8 3PH, UK2
Elektrik-Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Turkey2
Communication Systems Group, Technische Universitat Berlin, Germany2
Robot Intelligence Lab, Dyson School of Design Engineering, Imperial College London, UK2
Computer Science Department, Technical University of Cluj-Napoca, Cluj Napoca, Romania2
National Ilan University, Ilan, Taiwan Roc2
GREC Research Group, Universitat Politècnica de Catalunya, Barcelona, Spain2
CICTE Research Center, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Dep. DECEM, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Elektrik - Elektronik Mühendisliği Bölümü, Atılım Üniversitesi, Ankara, Türkiye2
Rutgers University2
CNRS-LTCI, Institut Mines-TELECOM TELECOM ParisTech, France2
Université Pierre et Marie Curie (LIP6), Paris, France2
TNLIST, Department of Automation, Tsinghua University2
Faculty of Engineering, Universitas Indonesia, Indonesia2
Institute of Information Science, Beijing Jiaotong University, Beijing, China 1000442
Department of Computer Science, Mangalore University, Mangalore, Karnataka, India2
Sorbonne Universités, Paris, France2
Electronics and Telecommunications Research Institute, Youga, Dalsung, Daegu, Korea2
University of St Andrews North Haugh St Andrews KY16 9SX Fife, Scotland, United Kingdom2
Shandong Agricultural University, College of Information Science and Engineering, China2
Signal Processing of Ministry of Education Southeast University, Key Laboratory of Underwater Acoustic, China2
National Innovation Centre for Ageing, Newcastle University, UK2
School of Computer Science and Technology, Tianjin University, Tianjin2
Dept. of Electrical and Computer Engineering, National University of Singapore2
Department of Electrical Engineering, Yuan-Ze Univsersity, Taiwan2
Department of Computing, the Hong Kong Polytechnic University, Hong Kong2
EIS, Huazhong Univ. Sci. and Tech., China2
Center for Automation Research, University of Maryland, College Park, 20742, United States of America2
Khalifa University, Abu Dhabi, UAE2
Center for Automation Research, UMIACS, University of Maryland, College Park, 20742, USA2
Division of Computer Science and Engineering, Center for Advanced Image and Information Technology, Chonbuk National University, Jeonju, Republic of Korea2
Division of Computer Science and Engineering, Chonbuk National University, Jeonju, Republic of Korea2
Department of Electronic Engineering, Tsinghua University, Beijing 100084, P.R. China2
Indian Statistical Institute, 203, B. T. Road, Kolkata 700108, India2
Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN, USA2
Istanbul Technical University, Istanbul, Turkey2
Center for Research in Intelligent Systems, University of California, Riverside, USA 925072
Information and Communication Technology, Gautam Buddha University, Greater Noida2
The 28th Research Institute of China Electronics Technology Group Corporation, China2
Université Paris-Est, LEPSIS, IFSTTAR, F-77447 Marne-la-Vallée, France2
Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China2
University of Southampton, Southampton2
School of Computer & Communication Engineering, University of Science and Technology Beijing, China2
School of Computer Science, University of Windsor, Canada N9B 3P42
University of Notre Dame, USA2
Coursera and Stanford University2
Department of Computer Science, Gyan Ganga Institute of Technology & Sciences, Jabalpur, M.P, India - 4820012
Department of Oncology, University of Oxford, Oxford, UK2
Department of Electrical Engineering, Tsinghua University, Beijing, 100084, China2
National Taiwan Normal University, Taipei, Taiwan Roc2
University of Florence, Florence, Italy2
Institution of Information Science, Beijing Jiaotong University, Beijing, China2
Division of Electronics and Communication Engineering, School of Engineering, Cochin University of Science and Technology, Kochi - 682022, Kerala, India2
Convergent SoC Research Center Korea Electronics Technology Institute2
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies2
Department of Mechanical Engineering and Intelligent Systems, University of Electro-Communications, Chofu, Japan2
University of North Carolina at Charlotte, Charlotte, NC, USA2
Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000, Croatia2
Department of Computer Science and Information Engineering, National Formosa University, Taiwan, R. O. C.2
Keio University, Tokyo, Japan2
Keio University, Yokohama City, Kanagawa, Japan2
School of Computer and Control Engineering, University of the Chinese Academy of Sciences, Beijing, China2
Innovation Center, Canon USA Inc., San Jose, California2
University of Texas at San Antonio, San Antonio, Texas2
Graduate Institute of Networking and Multimedia and the Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan2
Institut für Nachrichtentechnik (INT), Universität Karlsruhe (TH), Germany2
School of Electrical Engineering, KAIST, Daejeon, Republic of Korea2
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, USA2
u’smile, the Josef-Ressel-Center for User-Friendly Secure Mobile Environments, University of Applied Sciences Upper Austria, Wels, Austria2
Institute of Neural Information Processing, University of Ulm, Ulm, Germany2
Technical center for the Mechanical Industry (CETIM), France2
COMVILAB - Computational Vision and Intelligence Laboratory, Federal University of Mato Grosso do Sul - Ponta Porã Campus, Rua Itibiré Vieira, s/n, 79907-414, Brasil2
Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India2
Inst. of Comput. Sci., Univ. of Leoben, Austria2
Robotics and Perception Group, University of Zurich, Switzerland2
Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran2
CENPARMI, Concordia University, Montréal, Québec, Canada2
CyLab Biometrics Center, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA2
Department of Computer Engineering, Rochester Institute of Technology, Rochester, New York 14623, USA2
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey2
Hewlett-Packard Labs, 1501 Page Mill Rd. Palo Alto, CA, USA2
Computer Science and Technology, Tsinghua University, Beijing, China2
Graduate School of Information Science, Department of Media Science, Nagoya University, Japan2
School of Electronics and Computer Science, University of Southampton, Southampton, UK2
Dept. of Electronics, Telecommunications and IT, University Politehnica Bucharest, Romania2
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, USA2
GREYC Laboratory, ENSICAEN - Université de Caen - CNRS, 6 boulevard Maréchal Juin, 14000, France2
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kuching, Malaysia2
Department of Mechanical Engineering, National University of Singapore, Singapore2
Institute of Cartography and Geoinformatics, Leibniz Universität, Hannover, Germany2
University of Southampton, SO17 1BJ, UK2
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr2
Mazda Motor Co., 2-5 Moriya-cho Kanagawa-ku, Yokohama, Kanagawa 221-0022, Japan2
National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba Ibaraki, 305-8568, Japan2
Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea2
Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra, India2
Shanghai University, School of Communication & Information Engineering, Shanghai, China2
L3S Research Center, Leibniz Universität Hannover, Hannover, Germany2
Center for Machine Vision Research, Department of Computer Science and Engineering, University of Oulu, 90014 Oulu, Finland2
Movidius Plc., Dublin, Ireland2
Collage of Electronic and Information Engineering, South China University of Technology, Guang Zhou, China2
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong2
Department of Mathematics, Center for Computer Vision, Sun Yat-Sen University, Guangzhou, China2
Department of Computing, The University of the West Indies, Mona, Kingston 72
Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Republic of Korea2
Dept. of Electronics and Telecommunication Engg., S. G. G. S. Institute of Engineering and Technology, Vishnupuri, Nanded - 431 606, India2
Institute of Energy, Jiangxi Academy of Sciences, Nanchang, China2
Micron Technology Inc.2
Department of ECE, Mepco Schlenk Engineering College, Sivakasi2
School of IoT Engineering, Jiangnan University, Wuxi, People’s Republic of China2
Telecommunications and Informatics Gdansk University of Technology, Department of Computer Architecture Faculty of Electronics, Gdansk, Poland2
ARC Centre of Excellence for Robotic Vision, Monash University, Australia2
Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China2
Department of Computer Science and Engineering at the Toyohashi University of Technology, Japan2
University of British Columbia, Canada2
Computer Science, Fudan University, Shanghai, 201203, China2
Electronic Engineering and Computer Science, Queen Mary University, London, United Kingdom2
Berger Levrault, Labege, France2
Sigmedia Group, Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
School of Electronic Engineering and Computer Science Queen Mary University of London2
Faculty of Computers and Information, Cairo University, Egypt2
Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taiwan2
School of Computer Science and Engineering, UESTC, Chengdu, China2
School of Information Science and Engineering, Jinan, China2
School of Computing Sciences, University of East Anglia2
Multimedia Processing Laboratory, Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan2
UIET, Panjab University, Chandigarh, India2
Department of Electronics, University of Goa, India2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-453331, India2
Advanced Medical Electronics, USA2
Department of Computer Science, School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa2
Department of Computer Science, Graduate School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa2
Faculty of Information Sciences and Engineering, University of Canberra, Australia2
RSISE, Australian National University, Australia2
School of Computing and Mathematics, Charles Sturt University, Sydney, NSW, Australia2
Fraunhofer IAIS, Sankt Augustin, Germany2
University of California at Los Angeles, Los Angeles, CA, USA2
TSC Department, University of Vigo, Spain2
Gradiant (Galician Research and Development Center in Advanced Telecommunications), Spain2
Department of Electrical Engineering, University of Washington, Washington USA2
Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan2
INAOE, Puebla, Mexico2
School of Automation, Huazhong University of Science and Technology, Wuhan, China 4300742
Yahoo Labs, San Francisco, CA, USA2
Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia2
University of Memphis, Memphis, TN2
School of Mathematical Sciences, Rochester Institute of Technology, NY 14623 USA2
Department of Electrical and Electronics Engineering, Eski¿ehir Osmangazi University, Me¿lik Campus, 26480, Turkey2
Stevens Institute of Technology, Hoboken, NJ, USA2
College of Computer Science. Chongqing University, Chongqing, China2
Bilgisayar Mühendisliği Bölümü, Marmara Üniversitesi, İstanbul, Türkiye2
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China2
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, China2
Departamento de Computação, Universidade Federal do Piauí, Teresina, Brasil2
Institute of software, Chinese Academy of Sciences, Science and Technology on Integrated Information System Laboratory, Beijing, China2
School of Electrical & Information Engineering, University of Sydney, NSW 2006, Australia2
School of Engineering and Computer Science, Independent University, Bangladesh2
University of Electronic Science and Technology of China, West Hi-Tech Zone, Chengdu, SiChuan, China2
School of Computer Science, University of Windsor, Windsor, Canada2
Department of Computer Science, College of Natural Sciences & Mathematics, University of Houston2
Sinhgad Academy of Engg, Dept. of Electronics and Telecommunication Engg, Kondhwa, India2
Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany2
KU Leuven ESAT-PSI, iMinds2
Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, India2
Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, İstanbul, Turkiye2
School of Information Science and Technology, Jiujiang University, China2
Research Institute of Wuhan University in Shenzhen, China2
Computational Biomedicine Lab, University of Houston2
Institut TELECOM; TELECOM Lille 1, France2
Shenzhen Key Lab of Comp. Vision and Patt. Recog., Shenzhen Institute of Advanced Technology, CAS, P.R. China2
Department of ECE, University of Delaware, USA2
University of Ulsan, Graduate School of Electrical Engineering, Ulsan, 44610, Korea2
Institute of Advanced Manufacturing Technology, Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, China2
Department of Electrical Engineering, National Tsing Hua University, Taiwan2
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Hong Kong2
Visual Analysis of People Laboratory, Aalborg University, Aalborg, Denmark2
USC Institute for Creative Technologies2
Beijing Innovisgroup Tec Co. LTD, Beijing, China2
Massachusetts Institute of Technology, Cambridge, USA2
Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan2
Intelligent Biometric Group, School of Electrical and Electronics Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Malaysia2
Electrical, Electronics & Automation Section, Universiti Kuala Lumpur, 09000 Kulim Hi-Tech Park, Malaysia2
Université de La Rochelle, France2
Kyungpook National University, Buk-go, Daegu, Republic of Korea2
University of California, Davis, Davis, CA, USA2
INRIA Sophia Antipolis Méditerranée, Sophia Antipolis, France2
Department of Mathematics and Computer Science, University of Catania, Italy2
CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France2
Division of Control, EEE, Nanyang Tech. Univ., Singapore2
Dept. of Computer Science and Engg., IIT(BHU), Varanasi, India2
PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Algeria2
Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany2
Mount Sinai Hospital, Toronto, Canada2
School of Information Science & Technology, Sun Yat-sen University, and SYSU-CMU Shunde International Joint Research Institute, China2
Computer Science Department, Portland State University2
Center for Automation Research, UMIACS, University of Maryland, College Park, MD, USA2
University of Valencia2
Ghent University - imec - MICT, Korte Meer, Ghent2
Ghent University - imec, ELIS - IDLab, Pietersnieuwstraat, Ghent2
Computer Science Department, Technion Israel Institute of Technology, Haifa, Israel2
Department of Electronic Engineering, Fudan University, Shanghai, 200433, China2
Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India2
Department of Computer Science and Engineering, Christ University, Bengaluru, India2
Augsburg University, Augsburg, Germany2
Augsburg University, Augbsurg, Germany2
Baskin School of Engineering, University of California Santa Cruz, 1156 High St, Santa Cruz, CA 95064 USA2
Shahid Bahonar University of Kerman Computer Engineering Department, Kerman, Iran2
Institute for Media Innovation, Nanyang Technological University, Singapore, Singapore2
Cardiff University2
Nankai University2
Institute of Informatics, Silesian University of Technology, Gliwice, Poland2
The Graduate University for Advanced Studies (Sokendai), Tokyo, Japan2
School of Automation, Southeast University, Nanjing, China, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China2
Teachers College, Columbia University, NY, USA2
University of Notre Dame, Notre Dame IN, USA2
National University of Defense and Technology2
Utrecht University, CC Utrecht, The Netherlands2
Department of Electrical and Computer Engineering, University of Central Florida, Orlando, USA2
Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Dept. of Comput. Sci., Western Cape Univ., South Africa2
School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece2
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA2
Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, Korea Rep.2
Shanghai Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, China2
iCV Group, Institute of Technology, University of Tartu, Tartu 50411, Estonia2
National Tsing Hua University, Hsinchu, Taiwan, R.O.C.2
Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran2
University of Technology Sydney, Broadway, Ultimo, NSW 2007, Australia2
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TNList), State Key Lab of Intelligent Technologies and Systems, Tsinghua University, Beijing, China2
Department of Computer and Information Sciences University of Delaware, Newark, DE, U.S.A.2
Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea2
REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), BP 1173, Sfax, 3038, Tunisia2
College of Automation Science and Engineering, South China University, Guanghzou, 510641, China2
Department of Electric and Electronics, Selçuk University, Konya, Turkey2
Simon Fraser University, Burnaby, Canada2
Research Center of Intelligent Robotics, Department of Automation, Shanghai Jiao Tong University, 200240, China2
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran2
University of Windsor Department of Electrical and Computer Engineering Windsor, Canada2
National Lab of Pattern Recognition, Chinese Academy of Sciences, Beijing, China2
School of Computer Science and Technology and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China2
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Japan2
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, 4259-R2-52 Nagatsuta, Midori-ku, Yokohama, JAPAN 226-85032
Multimedia Communications Department, EURECOM, 2229, Route de Cretes, BP 193, F-06560, Sophia-Antipolis, France2
Department of CS&E, Visualization and Perception Lab, Chennai, India2
Institute of Computer Science and Technology, Peking University, Beijing 100871, China2
Robotics and Perception Group, University of Zurich, Zurich, Switzerland2
Department of Electronic and Communication Engineering, MSRUAS, Bengaluru, Karnataka 560058, India2
SoC Platform Research Center, Korea Electronics Technology Institute, Sungnam, Republic of Korea2
Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Surathkal, India2
Yonsei University, Incheon, South Korea2
CAI, University of Technology Sydney, Sydney, Australia2
Institute of Linguistic Sciences, Jiangsu Normal University, Xuzhou, China2
National Laboratory of Pattern Recognition, (NLPR), Institute of Automation, CAS, Beijing, China2
Jiaxing University, Jiaxing, China2
National Laboratory of Speech and Language Information Processing, University of Science and Technology of China, Hefei, China2
Commonwealth Scientific and Industrial Research Organisation, Clayton South, Vic. , Australia2
Speech, Audio, Image and Video Technology Laboratory, Queensland University of Technology, Brisbane, Australia2
Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China2
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo 101-8430, Japan2
School of Computer Science, China University of Geosciences, Wuhan 430074, China2
Dept. of Computer & System Sciences, Visva-Bharati University, Santiniketan, India2
Dept. of Computer Science & Engineering and Information Technology, Siliguri Institute of Technology, Siliguri, India2
Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, China2
Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia2
Instituto de Microelectronica de Sevilla IMSE-CNM-CSIC C/ Américo Vespucio, s/n (esquina Leonardo da Vinci) Sevilla, Spain2
SCOPE Vellore Institute of Technology, Vellore, India2
School of Computer Science and Technology, HuBei University of Science and Technology, Xianning, 437100, China2
Statistical Machine Intelligence & LEarning, School of Computer Science & Engineering University of Electronic Science and Technology of China, 611731, China2
Benha Faculty of Engineering, Benha University, Benha, Egypt2
Department of Electrical and Computer Engineering, University of Texas at Dallas, Multimodal Signal Processing (MSP) Lab, Richardson, TX, 75080, USA2
Dept., of ECE, Government College of Technology, Coimbatore, Tamil Nadu, India2
Institute of Information Technology and Communications, Otto-von-Guericke University, Magdeburg, Germany2
LRIT, Unité Associée au CNRST (URAC 29), Faculty of Sciences, Mohamed V-Agdal University, Rabat, Morocco2
Department of Computing and Numerical Analysis, Maimonides Institute for Biomedical Research (IMIBIC), University of Córdoba, Córdoba, Spain2
Institute of Computing - University of Campinas, SP, Brazil, 13083-8522
Department of CSE&IT, Rayat & Bahra College of Engg. & Bio-Tech, Kharar, India2
Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye2
School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Nanyang Technological University, Electrical and Electronic Engineering, Nanyang Link, Singapore 6397982
National Taiwan University of Science and Technology, No.43, Keelung Rd., Sec.4, Da'an Dist., Taipei City 10607, Taiwan2
Laboratory LAROSERI, Department of Computer Science, Faculty of Sciences, University of Chouaib Doukkali, El Jadida - Morocco2
RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
RITS Team, INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
Université Pierre et Marie Curie, Paris, France2
Amity School of Engineering and Technology, Amity University, Uttar Pradesh, India2
HERE Technologies, Chicago, Illinois, 60606, USA2
Faculty of the Institute of Artificial Intelligence, Robotics, Xi’an Jiaotong University, Xi’an, China2
Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China2
Australian Center for Visual Technologies, University of Adelaide, SA, Australia2
School of Electronics and Information Technology, Sun Yat-Sen University, Guangdong, People's Republic of China2
Data Science Research Laboratories, NEC Corporation. Kawasaki, Japan2
Leiden University, Leiden, The Netherlands2
TNO, The Hague, The Netherlands2
National Institute of Standards and Technology, Gaithersburg, USA2
Faculty of Engineering, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece2
Institute of Information Science, Beijing Jiaotong University, Beijing 1000442
Department of Electrical Engineering, Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Multimedia Signal Analysis Lab at Electronics & Comms, Eng. Dpt., Electrical & Electronics Faculty, Yildiz, Technical University, Istanbul, Turkey2
University Moulay Ismail, Meknes, Morocco2
Computer and Electronics Security Systems, Department of Computer Science and Digital Technologies, Northumbria University, UK2
School of Electronics and Information Engineering, Xi'an Jiaotong University, Xian, 710049, China2
Multimedia Computing Lab, University of Augsburg, Germany2
Faculty of Electrical and Computing Engineering, University of Campinas, Campinas, São Paulo, Brazil 13083-8522
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, INDIA2
School of Computer Science and Technology, Tianjin University, 300072, China2
LRIT, associated unit to CNRST 29, Faculty of Sciences, Mohammed V University, Rabat, Morocco2
LGS, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco2
Department of ICT, FM University, Balasore, Odisha, India2
Amsterdam University College, Amsterdam, The Netherlands2
Informatics Institute, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands2
Tsinghua-CUHK Joint Research Center for Media Sciences, Technologies, and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
INRIA Rhone-Alps, Montbonnot, France2
Imperial College London2
Graduate University of Chinese Academy of Sciences, Beijing, 100049, China2
The University of Waikato, Knighton Road, Hamilton, New Zealand2
Department of Information & Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain2
School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia2
School of Computer Science and Engineering, The University Of New South Wales, Sydney, Australia2
Department of Data Analysis and Mathematical Modeling, Ghent University, Ghent, Belgium2
IBM T. J. Watson Research, Center, New York, USA2
University of Notre Dame, Notre Dame, Indiana2
Computer Vision Laboratory, ETH Zürich, Zürich, Switzerland2
Group Research of Daimler AG in Ulm, Germany2
Computer Engineering, Rochester Institute of Technology, USA2
School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-749, Republic of Korea2
Australian Centre for Visual Technologies, University of Adelaide, 5005 South Australia, Australia2
School of Reliability and System Engineering, Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing, China2
Laboratoire d’imagerie de vision et d’intelligence artificielle, École de technologie supérieure, Université du Québec, Montreal, Canada2
Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia2
Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Computer Science and Technology, Tsinghua University, 100084, Beijing, China2
LMU Munich, Munich, Germany2
Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA2
Department of Computer Science, Kent State University, OH 44242, U.S.A.2
Purdue University, West Lafayette, USA2
School of Electrical & Computer Engineering, RMIT University, Melbourne, Australia2
School of Computer Science and Technology, Nanjing Normal University, China2
Schoool of Electronic Engineering, Xidian University, Xi'an, China2
Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong, China2
Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, Taiwan2
Robot Department, Chubu University, Aichi 487-8501, Japan2
Computer Science Department, Chubu University, Aichi 487-8501, Japan2
Northeastern University, USA2
Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science and Technology, Nanjing, China2
College of Software, Shenyang Normal University, Shenyang, China2
International School, Beijing University of Posts and Telecommunications, Beijing, China2
School of Information Science and Technology, Beijing Forestry University, Beijing, China2
Department of Engineering, University of Perugia, Perugia, Italy2
School of Interactive Computing, Georgia Institute of Technology, Atlanta, USA2
Distributed Multimedia Systems Technical University of Darmstadt, Germany2
Michigan State University, East Lansing, U.S.A.2
São Carlos School of Engineering, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil2
Department of Cognitive ScienceSchool of Information Science and Engineering, Xiamen University, Xiamen, China2
University of Dayton, Dayton, USA2
College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China2
Labo Handibio, University of Toulon-Var, France2
School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, Scotland UK2
The University of Queensland, St. Lucia, QLD2
Department of Information Technology, PCE, New Panvel, Navi Mumbai, India2
University of Valladolid (Spain), Dep. Of Systems Engineering and Automatic Control, Industrial Engineering School2
Department of Computer Education, Sungkyunkwan University, Seoul, Republic of Korea2
ECE/UPATRAS, Patras, Greece2
CERTH/ITI, Thessaloniki, Greece2
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, Australia2
Shanghai Jiaotong University, Shanghai, China2
Information Technology, NICHE, Noorul Islam University, Kumaracoil, Thuckulay, India2
Department of Computer Engineering, Sejong University, Seoul, Korea2
Department of Computer Science, University of Warwick2
Max-Planck-Institute for Informatics, Saarbrücken, Germany2
Photogrammetry and Remote Sensing Laboratory, ETH Zürich, Switzerland2
University of Bern, Neubrückstrasse 10, Bern, Switzerland2
Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Department of Automation, North-China University of Technology, Beijing, China2
Department of Electronic Engineering, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China2
Naval Research Laboratory, Washington, DC 203752
North Carolina State University, ECE Department, Raleigh, NC-27606, USA2
CongniVue Corporation, Gatineau, QC, Canada2
School of Electrical and Electronic Engineering, University of Manchester, Manchester, U.K.2
Computer Engineering Department, S.V. National Institute of Technology, Surat, 329507, India2
Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa, Allahabad 211012, India1
Shenzhen Sunwin Intelligent Co., Ltd, China1
Department of Electrical, Computer and IT Engineering, Qazvin Azad University, Qazvin, Iran1
Department of Electronic Engineering, Chinese University of Hong Kong, Shatin, Hong Kong1
Toyota InfoTechnology Center, Mountain View, CA 94943 USA1
Nokia Corporation, San Francisco, CA, USA1
Yahoo Research, USA1
Research Center of Learning Science, Southeast University, Nanjing 210096, China; The Engineering Research Center of Information Processing and Application, Southeast University, Nanjing 210096, China1
Department of Mathematics, University of Punjab, Lahore, Pakistan1
School of Systems and Technology, University of Management and Technology, Lahore, Pakistan1
Guangdong Key Laboratory of Information Security Technology, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China1
Yazd University, Yazd, Iran1
University of Chicago, Chicago, IL, USA1
University of Texas at Austin, Austin, TX, USA1
Core Technology Center Omron Corporation Kyoto, Japan1
Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany1
Corporate Technology, Siemens AG, München, Germany1
Empolis Information Management GmbH, Kaiserslautern, Germany1
Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany1
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH, Saarbrücken, Germany1
Carnegie Mellon University, PA, 152131
School of Computer Science and Technology, Soochow University, Suzhou, China, 2150061
Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, València, Spain1
College of Information Engineering, Shenzhen University, Shenzhen, China1
University of Seville , Sevilla, Spain1
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan City, Taiwan1
Bilgisayar Mühendisliği Bölümü, ITÜ1
Bili§im Enstitüsü, İTÜ1
Department of electrical and electronic engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia1
school of computer science and engineering, Xi¿an University of Techonology, China1
Faculty of Computer Science and Information Technology, YunNan Normal Univeristy, 650092, China1
School of Management, Capital Normal University, Beijing, China1
College of Computer Science and Technology, Qingdao University, Qingdao, China1
College of Automation and Electrical Engineering, Qingdao University, Qingdao, China1
School of Data Science and Software Engineering, Qingdao University, Qingdao, China1
Laboratory of Image Processing and Data Mining, Shahrood University of Technology, Shahrood, Iran1
Distributed Artificial Intelligence Laboratory, Technische Universität Berlin, Berlin, Germany1
Omron corporation1
Dept. de Ciência da Computacão, Universidade Federal de Ouro Preto, MG Brazil1
Interactive and Digital Media Institute, National University of Singapore, Singapore1
Shenzhen Silver Star Intelligent Technology Co., LTD, China1
Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY 146231
Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 146231
II-LIDI, UNLP, La Plata, Argentina1
Dept. of CS and E, U.B.D.T.College of Engineering, Davanagere, Karnataka, India1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. schettini@disco.unimib.it1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. cusano@disco.unimib.it1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. colomboal@disco.unimib.it1
Digital Image Group (DIG), London, Canada1
Department of Medical Imaging, Western University, London, Canada1
Computational Medicine Lab, Shandong University of Traditional Chinese Medicine, Jinan, China1
Technical University of Catalonia, Barcelona, Spain. ferran@gps.tsc.upc.es1
Technical University of Catalonia, Barcelona, Spain. veronica@gps.tsc.upc.es1
Intel Corporation, Hudson, MA, USA1
Nvidia Research, Westford, MA, USA1
Computer Engineering, Hacettepe University, Ankara, Turkey1
Computer Science, Boston University, Boston, USA1
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
ShanghaiTech University1
Carleton University1
Shenzhen University1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Australia1
Stanford University, Department of Psychology, Jordan Hall, 450 Serra Mall, Building 420, Stanford, CA 94305, USA1
University of New South Wales, 2052 Sydney1
Graphic Era University, Dehradun, India1
Uttarakhand Technical University, Dehradun, India1
Jilin University, Changchun, China1
Università di Trento, Povo, Italy1
University of Bristol, Bristol, United Kingdom1
Amrita E-Learning Research Laboratory, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, India1
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Amrita E-Learning Research Laboratory and the Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Innovations Kontakt Stelle (IKS) Hamburg, Hamburg University of Applied Sciences1
School of Engineering and Computing, University of the West of Scotland1
Computer Science Department, Central Washington University (CWU)1
ICT Center, CSIRO1
Department of Electrical and Computer Engineering, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates1
Fac. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
Center of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia1
Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia1
Technische Universität München, München, Germany1
LCSEE, West Virginia University, Morgantown, WV 26506, USA1
AT&T Labs Research, Middletown, NJ, USA1
Peking University Shenzhen Graduate School & Peking University, Shenzhen, China1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, People’s Republic of China1
Department of Electronic Engineering National Kaohsiung, University of Applied Sciences, Kaohsiung 807, Taiwan1
Xi’an Jiaotong University, Xi’an, Shaanxi, China1
Redpine Signals Inc., Hyderabad, India1
Indian Institute of Technology, Hyderabad, India1
Centre for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Singapore, 6397981
Department of Electronic Engineering Shanghai Jiao Tong University1
Institute of Communication Engineering, National Tsing-Hua University, Taiwan1
Foundation for Research and Technology--Hellas (FORTH), Greece1
Stanford University, Stanford, California, USA1
HAVELSAN A.Ş., Ankara, Türkiye1
Bilgisayar Mühendisliği Bölümü, İhsan Doğramacı Bilkent Üniversitesi, Ankara, Türkiye1
I.K. Gujral Punjab Techncial University, Kapurthala, India1
Faculty of Sciences, Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia1
Technical Faculty “Mihajlo Pupin”, University of Novi Sad, Zrenjanin, Serbia1
Energy Research Institute @NTU (ERI@N), Interdisciplinary Graduate School, Nanyang Technological University, Singapore 6397981
Harvard University & Microsoft Research, Boston, MA, USA1
OLM Digital Inc, Setagaya, Japan1
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan1
5th Engineering Bldg., Room 619, Shizuoka University, Naka-ku, Hamamatsu, Japan1
School of Computer Science, Guangzhou University, Guangzhou, China1
Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China1
College of Information and Electrical Engineering, Ludong University, Yantai, China1
Wakayama University1
U. of Illinois at Urbana-Champaign, USA1
Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, 956161
Tsinghua University, Microsoft Research Asia, Beijing, China1
Xi'an Institute of Optics and Precision Mechanics &Chinese Academy of Sciences, Xi'an, China1
Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
Guilin University of Electronic Technology, Guilin, People’s Republic of China1
School of Mathematical Sciences, Dalian University of Technology, Dalian, People’s Republic of China1
School of Mathematics, Liaoning Normal University, Dalian, People’s Republic of China1
School of Information Science and Technology, University of Science and Technology of China, Hefei, China1
Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei, China1
ODTÜ Görüntü Analizi Uygulama ve Araştırma Merkezi (OGAM), Ankara, Türkiye1
Akıllı Veri Analitiği Araştırma Program Müdürlüğü, Aselsan Araştırma Merkezi, Ankara, Türkiye1
Department of Automation, Northwestern Polytechnical University, Xi’an, China1
School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China1
Media Systems and Technologies Department, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine1
Computer Science, University of Arkansas at Little Rock, Little Rock, USA1
Computer Science, Azusa Pacific University, Azusa, USA1
School of Information Science and Engineering, Fudan University, Shanghai, China1
Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, Korea1
Intel Corporation, Beijing, China1
College of Computing, Georgia Tech1
Corporate Research, Robert Bosch GmbH, Stuttgart, Germany1
School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China1
Bilgisayar ve Öğretim Teknolojileri Eğitimi, Dicle Üniversitesi, Diyarbakır, Türkiye1
Bilgisayar Mühendisliği, Fırat Üniversitesi, Elazığ, Türkiye1
Bilgisayar Mühendisliği, Dicle Üniversitesi, Diyarbakır, Türkiye1
Institute of Automation, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, P.R. China1
Department of Physics, Indian Institute of Technology Delhi, New Delhi, India1
HCL Technologies, Chennai, India1
Department of Computer Science and Engineering, University at Buffalo-State University of New York, Buffalo, NY, USA1
Institute for Infocomm Research (IR) Singapore 1386321
Pattern Recognition Lab, Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan1
INRIA / Ecole Normale Supérieure, France1
Graduate University, Chinese Academy of Sciences, China1
Cairo University, Egypt1
Dept. of Computer Engineering, Science and Reaserch Branch, Islamic Azad University, Tehran, Iran1
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran1
Precision Silver LLC, Gainesville, FL1
Key Laboratory of Intelligent Perception and Image Understanding, Xidian University, Xi'an, China1
Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, Japan1
Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China, 1000811
University of Rochester, Rochester, NY, USA1
Technological Educational Institute of Sterea Ellada, Psahna, Halkida, Greece1
National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Athens, Greece1
University of Maastricht, Maastricht, The Netherlands1
Centre of Research and Technology Hellas, Thermi, Thessaloniki, Greece1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), the State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China1
Centre for Quantum Computation and Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia1
Computer Science Department, Centro de Innovación para la Sociedad de la Información, University of Las Palmas de Gran Canaria, Las Palmas, Spain1
Department of Electrical and Computer Engineering, University of Denver, Denver, CO, USA1
MNNIT Allahabad, Allahabad, India1
School of Data and Computer Science, Sun Yat-sen University, P.R.China1
Google Inc., Singapore1
German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany1
Department of Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia1
School of Engineering, University of California at Merced, Merced, USA1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA1
Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore1
School of Computing and Communications, University of Technology Sydney, Ultimo, Australia1
School of Information Technology & Management, University of International Business and Economics, Beijing, China1
Department of Applied Electronics, Gulbarga University, Kalaburgi, India1
State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China1
Vision and Pattern Recognition Systems (VisPRS) Research Group Center for Advanced Studies in Engineering, Islamabad, Pakistan1
IUSIANI, Univ. de Las Palmas, Spain1
Agency for Science and Technology Research, Bioinformatics Institute, Singapore1
Beijing Institute of Technology, Beijing 100081, P.R. CHINA1
Department of Computer Science and Technology, Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
Computational Vision Group, University of California at Irvine, Irvine, CA, USA1
Department of Computer Science and Technology, The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
Department of Computer Science and Engineering, American University of Sharjah, UAE1
Intelligent Control Systems Laboratory, Griffith University, Brisbane, Australia1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. w.l.woo@newcastle.ac.uk1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. s.s.dlay@newcastle.ac.uk1
The School of Electrical, Electronic and Computer Engineering, the University of Newcastle, Newcastle upon Tyne, United Kingdom. m.a.dabbah@newcastle.ac.uk1
Department of Electrical Engineering, National Taiwan University of Science and Technology1
Aalborg University, Aalborg SV, Denmark1
Department of Electrical Engineering, University of Biskra, Biskra, Algeria1
Energy Systems Modeling Laboratory, University of Biskra, Biskra, Algeria1
Inst. for Infocomm Res., Singapore1
University of Lincoln, U. K.1
Qihoo 360 AI Institute, Beijing, China1
Institute for Infocomm Research, Connexis South, Singapore1
DISI - Alma Mater Studiorum, Università di Bologna, Bologna, Italy1
Marc Holzapfel is with Dr. Ing. hc. F. Porsche AG, 71287 Weissach, Germany1
Siemens Medical Solutions, Innovations Division, CA 94043, USA1
Department of Electrical and Systems Engineering, University of Miyazaki, Japan1
Department of Environmental Robotics, University of Miyazaki, Japan1
Department of Materials and Informatics, University of Miyazaki, >Japan1
UFMG, Belo Horizonte, Brazil1
Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia. roland.goecke@anu.edu.au1
Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia. jason.saragih@rsise.anu.edu.au1
Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain1
University of Malaga , Malaga, Spain1
Universidad de Granada , Granada, Spain1
Institute of Engineering & Technology, Dr APJ Abdul Kalam Technical University, Uttar Pradesh, Lucknow, India1
Apollo Institute of Technology, Kanpur, India1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. mkp@ee.oulu.fi1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. tahonen@ee.oulu.fi1
Machine Vision Group, University of Oulu, PL 4500, FI-90014 Oulun yliopisto, FINLAND. jukkaho@ee.oulu.fi1
Graduate School of Information, Science Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
Graduate School of Engineering, Nagoya University, Furo-cho, chikusa-ku, Nagoya, Japan1
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
Netherlands Defence Academy and Delft University of Technology1
Delft University of Technology and Netherlands Defence Academy1
Biometrics Research Center, Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong1
College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China1
Computer Science and Engineering, Michigan State University, Lansing, USA1
Engineering Science Department, University of Oxford, Oxford, UK1
Volvo Construction Equipment, Göthenburg, Sweden1
Department of Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
Department of Computer Science, Shahid Beheshti University, GC, Tehran, Iran1
Department of Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran1
Molecular & Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin 2, Ireland1
Centre for Image Processing & Analysis, Dublin City University, Dublin 9, Ireland1
Research Group for Computational Imaging and Simulation Technologies in Biomedicine, Universitat Pompeu Fabra, Barcelona, Spain1
Department of Electrical and Electronic Engineering, Public University of Navarra, Pamplona, Spain1
Information Processing Lab, Department of Electrical Engineering, University of Washington, Seattle, WA, USA1
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China1
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China1
The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense M, Denmark1
Dept. of Autom. Test & Control, Harbin Inst. of Technol., China1
University of California, San Diego, La Jolla, CA, USA1
Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China1
School of electronic information, WuHan University, Wuhan, China1
Engineering Research Center for Spatio-Temporal Data Smart Acquisition and Application, Ministry of Education of China, Wuhan, China1
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China1
Institute of Informatics and Telecommunications NCSR 'Demokritos', Athens, Greece and Electrical and Computer Engineering, National Technical University of Athens, Greece1
Mila, Université de Montréal, Quebec, Canada1
Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea1
Department of Electrical Engineering, Indian Institute of Technology Delhi, India1
Department of Computer Science and Engineering, Indian Institute of Technology Delhi, India1
Department of Computer and System Sciences, Visva-Bharati University, Santiniketan - 731 235, India1
Department of Computer Science Information Technology, University Institute of Technology, The University of Burdwan, Golapbag (North), 713 104, India1
Department of Computer Science and Engineering, Kalyani Government Engineering College, 741 235, West Bengal, India1
Dhofar University, Oman, Salalah1
LARODEC Laboratory, University of Tunis, Tunis, Tunisia1
Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hong Kong1
Department of Computer Engineering, Batman University, Batman, Turkey1
Department of Electrical and Electronic Engineering, Batman University, Batman, Turkey1
Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France1
Computer Science Department, The University of York, Heslington, York, YO105DD, UK, nep@cs.york.ac.uk1
Computer Science Department, The University of York, Heslington, York, YO105DD, UK, mromero@cs.york.ac.uk1
Department of Electronic Engineering, Kyung Hee University, Yongin, South Korea1
Department of Computer Technologies, Trabzon Vocational School, Karadeniz Technical University, Trabzon, Turkey1
College of Humanities & Sciences of Northeast Normal University, Changchun, China1
Computer Science and Engineering, Anna University, Chennai, India1
Culture Lab, School of Computing Science, Newcastle University, Newcastle upon Tyne, U.K.1
Department of artificial Intelligence and systems engineering Faculty of Computer Science and Information Technology Riga Technical University Riga, Latvia1
University of São Paulo1
University of Porto1
Federal Institute of São Paulo1
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, USA1
Computer Science & Engg., School of Computer Science & IT DAVV, Indore, India1
Computer Science & Engg., Visvesvaraya National Institute of Technology Nagpur, India1
Computational Biomedicine Lab, University of Houston, 4800 Calhoun Rd., Houston, TX 77204, USA1
LAMIH Université de Valenciennes, Paris, France1
LGB Université Mohamed Khider, Biskra, Algérie1
LMSE Université Mohamed Khider, Biskra, Algérie1
Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea1
Department of Electronics and Communication Engineering, Amity University, Noida, India1
Hiroshima University, Higashi-Hirosima-shi, Japan1
Meijo University, Nagoya-shi, Japan1
MIT, Cambridge, MA1
Oregon State University, OR1
HES-SO, Sierre, Switzerland1
Vienna University of Technology, Austria1
University of Notre Dame, Notre Dame, IN. flynn@nd.edu1
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University of Notre Dame, Notre Dame, IN. dthomas4@nd.edu1
George Mason University, Fairfax, VA 220301
College of Mechanical Engineering & Automation, Huaqiao University, Xiamen, China1
College of Computer Science & Technology, Huaqiao University, Xiamen, China1
Computer Engineering Department, School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
School of Civil and Environmental Engineering, Oklahoma State University, Stillwater, USA1
Moshanghua Tech Company, Ltd., Beijing, China1
College of Information Engineering, Xiangtan University, Xiangtan, China1
Department of Mathematics and System Science, National University of Defense Technology, Changsha, China1
Department of Imaging and Computer Vision, Siemens Corporate Research, Princeton, NJ, USA1
School of Engineering, The Australian National University, Canberra, Australia1
School of Computer Science, National University of Defense Technology, Hunan , China1
School of Computer Science, National University of Defense Technology, Changsha , China1
College of Information System and Management, National University of Defense Technology, Changsha, China1
Department of Management Science and Engineering, Officers College of Chinese Armed Police Force, Chengdu, China1
Department of Computer Science, University of Toronto, Canada1
School of Computer Engineering, Nanyang Technological University, Singaore, Singapore1
Department of Geography and Environmental Management, Faculty of Environment, University of Waterloo, Waterloo, ON, Canada1
School of Electrical & Electronic Engineering, Nanyang Technological University, 639798 Singapore1
Oxford-Brookes University, Oxford, OX3 0BP, United Kingdom1
Department of School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
Institute of Electrical Engineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland1
Dipartimento di Scienze dell’Informazione, Università degli Studi di Milano, Milan, Italy1
UNLV STEM, Las Vegas, Nevada1
School of Computer Science and Information Technology, University of Nottingham, Nottingham, UK1
Dept. of Electr. & Comput. Eng., Rose-Hulman Inst. of Technol., Terre Haute, IN, USA1
Department of Computer Science and Engineering, Shri Shankaracharya Group of Institutions (SSGI), Durg, India1
Department of Computer Science and Engineering, Indian Institute of Technology (B.H.U), Varanasi, India1
Computer Science & Engineering (CSE), IIIT Naya Raipur, Chhattisgarh, India1
Department of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan1
VU Amsterdam, Van der, Amsterdam, The Netherlands1
University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, UK1
Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Brazil1
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Department of Electrical Engineering and Computer Science, University of California at Merced, Merced, CA, USA1
Anhui Keli Information Industry Co. Ltd., Hefei, China1
Key Laboratory of Machine Perception (Peking University), MOE, Department of Machine Intelligence School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China1
INRIA, Grenoble Rhône-Alpes Research Center, Paris, France1
Department of CSE, Annamalai University, Chidambaram, India1
Department of ECE, Annamalai University, Chidambaram, India1
(CSE)PGOI, Indore1
PGOI, Indore1
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA1
Computer Sciences Department, University of Wisconsin, Madison, USA1
Shaanxi Provincial Key Laboratory of SIIP, School of Computer Science, Northwestern Polytechnical University, Xi'an China1
University of Naples Federico II, Napoli, Italy1
IBM T. J. Watson Research Center, International Business Machines, Yorktown Heights, USA1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna1
Department of Computer Architecture, University of Málaga, Málaga, Spain1
Faculty of Science, Department of Mathematics, Aswan University, Egypt1
RheinAhrCampus der Hochschule Koblenz, Remagen, Germany1
Teaching and research of section of mathematics, Hebei Information Engineering School, Baoding 071000, China1
Karlsruhe Institute of Technology (KIT), Institute of Measurement and Control Systems, Karlsruhe, 76131, Germany1
Dept. of Electrical Engineering, Beijing Jiaotong University, China1
Laboratoire d’Informatique de Grenoble, Université Joseph Fourier, Grenoble cedex 9, France1
Image Perception, Access and Language Lab, Institute for Infocomm Research, Singapore, Singapore1
Department of Computer ScienceInstituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal1
Dept. Electronics & Communication Engineering Karunya University, India1
Dept. Electronics & Communication Engineering, Karunya University, India1
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France1
College of Automation, Shenyang Aerospace University, China1
Department of Electrical and Electronics Engineering, Batman University, Batman, Turkey1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, P.R. China1
Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China1
Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, Heraklion, Greece1
Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA1
CSIRO and the Australian National University (ANU), Australia1
College of Technological Innovation, Zayed University, UAE1
Institute of Computing, University of Campinas, Brazil1
MIR@CL Laboratory, Faculty of Sciences of Sfax (FSS), University of Sfax, Sfax, Tunisia1
Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia1
MIR@CL Laboratory, Faculty of Economics and Management of Sfax (FSEGS), University of Sfax, Sfax, Tunisia1
Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea1
School of of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea1
Computer Vision Group, University of Jena, Jena, Germany1
Daimler AG, R&D, Germany and Hochschule fur Technik, Stuttgart, Germany1
Daimler AG, R&D, Germany and University of Jena, Jena, Germany1
PERCEPTION Team, INRIA Grenoble Rhône-Alpes, France1
Institute of Advanced Technology and College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China1
Computer Vision and Systems Laboratory, Laval University, Quebec, Canada1
School of Informatics, University of Edinburgh, 10 Crichton Street EH8 9AB, U.K.1
School of Electronic Engineering, Xidian University, Xi’an, China1
Computer Science Department, Xiamen University, Xiamen, China1
University of Science & Technology, Beijing, China1
Digital World Research Centre, University of Surrey, UK1
Global Big Data Technologies Centre, University of Technology at Sydney, Sydney, NSW, Australia1
Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China1
Department of Measurement and Control Systems, Karlsruhe Institute of Technology, Karlsruhe, Germany1
Shin-Guang Elementary School, Yulin 646, Taiwan1
School of Computer and Information Science, Southwest China University, Chongqing, China1
Electrical Electronic Engineering Department, Eastern Mediterranean University, Gazima¿usa, North Cyprus1
Electronics and Comm. Dept., Jawaharlal Nehru Technological Univ., Hyderabad, India1
Electronics and Comm. Dept., Kakatiya University, Warangal, India1
Kodak Research Laboratories, Eastiman Kodak Company, Rochester, USA1
College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, People’s Republic of China1
Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, People’s Republic of China1
Université catholique de Louvain, Belgium1
Member, IEEE, Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: k.messer@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: j.kittler@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. e-mail: c.chan@surrey.ac.uk1
School of Computing & Mathematics, Charles Sturt University, Albury, NSW 2640, Australia1
Discipline of Business Analytics, University of Sydney Business School, Camperdown, NSW 2006, Australia1
School of Computing & Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia1
LIIAN, Department of Mathematics and Computer Science, Faculty of Science, Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco1
LSI, Department of Mathematics, Physics and Computer Science, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza, Morocco1
Department of Computer Science and Information Systems, Birkbeck College, Malet Street, London, Berkshire, United Kingdom1
IBM Research, Australia, Level 5, Lygon street, Carlton, Australia1
Department of Computer and Information Science, Temple University, Philadelphia, PA1
Department of Computational Science Technology, KTH Royal Institute of Technology, Sweden1
LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, 75013, France1
Easwari Engineering College, Anna University, Chennai, India1
Department of Computer Science and Engineering, Anna University, Chennai, India1
School of Science, RMIT University, Melbourne, Australia1
Data61, CSIRO, Canberra, Australia1
Department of Computing and Information Systems, University of Melbourne, Parkville, Australia1
Information, Production and System Research Center, Waseda University, Kitakyushu, Japan1
Dept. of Electrical Engineering, IIT Kanpur, Uttar Pradesh, India-2080161
Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China1
Key Laboratory of Computer Vision and System, Tianjin University of Technology Ministry of Education, Tianjin, China1
ME Communication Systems M.Kumarasamy College of Engineering, Thalavapalayam, Karur, India1
M.kumarasamy college of Engineering, Thalavapalayam, Karur, India1
Department of Computer Science, Cornell University and Cornell NYC Tech1
Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France1
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China1
School of Automation Science and Electrical Engineering, Beihang University, Beihang, China1
School of Information Science and Engineering, Shandong Agricultural University, Taian, China1
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China and Anhui Institute ...1
University of Sao Paulo - ICMC/USP, Brazil1
Department of Electronic Engineering National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.China1
Department of Information Management, Cheng Shiu University China1
Department of Automatic Test and Control, Harbin Institute of Technolog, Harbin, China1
Department of Experimental Psychology, Ghent University, Ghent, Belgium1
Department of Digital Media Technology, Huanggang Normal University, Huangzhou, China1
Collaborative Innovation Center of Geospatial Technology, Wuhan, China1
School of Communication Engineering, Jilin University, Changchun, China1
Department of Informatics, University of Hamburg, Knowledge Technology, Hamburg - Germany1
Tang Department of Communication Engineering, National Central University Jhongli City, Taoyuan County 32001, Taiwan1
Department of Electrical Engineering, National Central University, Jhongli City, Taoyuan County 32001, Taiwan1
Center for Spatial Systems Biomedicine, Oregon Health Sciences University, Portland, U.S.A.1
Center for Comparative Medicine, University of California, Davis, U.S.A.1
Dept. of Computer Science and Engineering Pabna University of Science and Technology, Pabna, Bangladesh1
Dept. of Applied Physics and Electronic Engineering, University of Rajshahi, Rajshahi, Bangladesh1
CEA (iRSTV/BGE), INSERM (U1038), CNRS (FR3425), Université Grenoble-Alpes, Grenoble, France1
NLPR, Institute of Automation, Chinese Academy of Science, Beijing, People’s Republic of China1
Costel, Université de Rennes 2, Rennes, France1
IRISA, Université de Bretagne Sud, Vannes, France1
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)1
Idiap Research Institute and École Polytechnique Fédérale de Lausanne, Martigny, Valais, Switzerland1
University of Windsor, Canada1
Laboratoire d'InfoRmatique en Image et Systèmes, d'information (LIRIS) Université de Lyon, CNRS, Ecole Centrale Lyon (ECL)1
CEERI Pilani, India1
Australian Centre for Robotic Vision, Australian National University1
College of Engineering & Computer Science, Australian National University1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR. ysmoon@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, SAR. thyu@cse.cuhk.edu.hk1
College of Computer Science and Technology of Huaqiao University, Xiamen, China1
Department of Electrical and Computer Engineering, Universtiy of Dayton, Dayton, USA1
France Telecom - Orange Labs, Lannion, France1
Department of Information Engineering, University of Siena, Siena, Italy1
School of software, Beijing Institute of Technology, Beijing, China1
Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, R.O.C.1
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, R.O.C.1
Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, Tainan, R.O.C.1
Department of Software Engineering, King Saud University, Saudi Arabia1
Faculty of Electrical Engineering, Mathematics and Computer Science, Intelligent Systems Department, Delft University of Technology, 2628 CD, The Netherlands1
Department of Electronics Engineering, State University of Makassar, Indonesia1
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA. chengjun.liu@njit.edu1
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102. USA. zl9@njit.edu1
School of Mathematics and Computational Science, Sun Yat-sen University, China1
Department of Mathematics and Informatics, J. Selye University, Komárno, Slovakia1
Institute of Informatics, University of Szeged, Szeged, Hungary1
Computer Science Department, Stanford University, USA1
Electrical and Computer Engineering, UNIST, Korea1
Princeton University, USA, Universidad del Norte, Colombia1
Department of Electrical Engineering, Sajaad University, Mashhad, Iran1
Hefei University of Technology, Hefei, Anhui, 230009, China1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
Control Syst. Centre, UMIST, Manchester, UK1
College of Business Administration, University of Alabama in Huntsville, Huntsville, AL, USA1
Bio-Computing Research Center, Shenzhen, Harbin Institute of Technology, Medical Biometrics Perception and Analysis, Engineering Laboratory, Shenzhen, China. Shenzhen, China1
Sharp Laboratories of America, 5750 NW Pacific Rim Blvd., Camas, WA 98607, USA1
Tikkurila Oyj, Vantaa, Finland1
Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary1
School of Computer Science, University of Manchester, Manchester, UK1
College of Information Technology, Zhejiang Chinese Medical University, Hangzhou, China1
Yancheng Institute of Technology, Yancheng, China1
Huaiyin Normal University, Huai’an, China1
CNR ISM-Institute of the Structure of Matter, Roma, Italy1
Chinese Academy of Sciences, Beijing, China, and China-Singapore Institute of Digital Media1
Graduate University of Chinese Academy of Sciences, Beijing, China, and China-Singapore Institute of Digital Media1
Dept. of Electrical and Electronic Eng., Eastern Mediterranean University, Gazimagusa, KKTC, Turkey1
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar1
School of Electrical, Computer, and Telecommunications Engineering, University of Wollongong, Wollongong, Australia1
School of Computing and Mathematics, Charles Sturt University, Albury, Australia1
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
School of Information Science, Computer, and Electrical Engineering (IDE), Halmstad University, P.O. Box 823, SE-301 18, Halmstad, Sweden1
Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran1
Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China1
IBISC laboratory, Evry, France1
Department of Computer Science, University of North Carolina Wilmington, Wilmington, United States1
Elektrik ve Elektronik Mühendisliği Bölümü, Doğu Akdeniz Üniversitesi, KKTC1
Elektrik ve Elektronik Mühendisliği Bölümü, Lefke Avrupa Üniversitesi, KKTC1
University of Illinois Urbana-Champaign, USA1
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA1
Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology, University of Science and Technology of China Hefei, Anhui, People’s Republic of China1
Dept. of IT SCSVMV University Kanchipuram, Tamil Nadu, India1
Dept. of CSE SCSVMV University Kanchipuram, Tamil Nadu, India1
Laboratory LIIAN Faculty of Science Dhar EL Mahraz, Fez, Morocco1
Microsoft Photogrammetry Graz, Austria1
Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France1
Goi Eskola Politeknikoa, Mondragon Goi Unibertsitatea, Mondragon, Spain1
Engineering & Research Center of E-learning, Changchun, China1
College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, China1
University "Politehnica" Bucharest, Department of Telecommunications, Romania, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Danang University of Technology, Vietnam1
Dept. Clinical Psychology University, College London London, United Kingdom1
National Taiwan University, Taiwan, China1
SLAC National Laboratory, Stanford University, Stanford, USA1
IWE II, RWTH Aachen University, Aachen, Germany1
School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore1
Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China1
School of Computer, Electronics and Information, Guangxi University1
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. malasiot@iti.gr1
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. filareti@iti.gr1
Faculty of Computers and Information Sciences, Mansoura University, Egypt1
Tianjin University, Tianjin & Institute of Information Engineering, Beijing, China1
Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda1
University of Bologna - Bologna, Italy, ETHZ - Zürich, Switzerland1
University of Bologna, Bologna, Italy1
Department of Information and Technology, Nanjing College of Forestry Police, Nanjing 210046, Jiangsu, P. R. China1
College of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu, P. R. China1
Technion, Haifa1
Technion - Israel Institute of Technology, Haifa1
State Key Laboratory of Smart Grid Protection and Control, Nanjing, China1
Department of Electrical and Electronic Engineering, Imperial College, London, UK1
School of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China1
Faculty of Information Science & Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450, Melaka Malaysia1
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong1
Poongsan Defense R&D Institute1
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, P.R. China1
School of Information Science & Technology, Southwest Jiaotong University, Chengdu, P.R. China1
Gdansk University of Technology, Gdansk, Poland1
Shenzhen Academy of Robotics, Shenzhen, China1
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China1
Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX, USA1
Department of Computer Science & Engineering, BLDEA’s V. P. Dr. P. G. H. College of Engineering & Technology, Vijayapur, India1
Department of Computer Science, Dr P G Halakatti Post Graduate Centre, “Vachana Sangama”, Rani Channamma University, Vijayapur, India1
Columbia University, New York1
Dept. of Mechanical Engineering, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand1
Mechanical Engineering Department, Indian Institute of Technology, Patna, Bihta 8011031
National Inst. of Stand. & Technol., Gaithersburg, MD, USA1
Fraunhofer Institute for Telecommunications, Berlin, Germany1
Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany1
Siemens AG, Corporate Technology, Munich, Germany1
Faculté Polytechnique de Mons - TCTS 31, Mons, Belgium1
IDIAP - Dalle Molle Institute for Perceptual Artificial Intelligence, Martigny, Switzerland1
Nat. Taipei Univ., Taiwan1
MPI Tübingen, Germany1
Leibniz Universität Hannover, Germany1
College of Cyber Security, Jinan University, Guangzhou, China1
CPSLAB, ASRI, School of Electrical Engineering and Computer Science, Seoul National University, Seoul, Korea1
University of Burgundy, Le2i Laboratory, Le Creusot, France1
Department of Computer Science, Air Force Engineering University, Xi’an, China1
Changshu Institute of Technology, Changshu, China1
Department of Electronics, Kyungil University, Daegu, Korea1
Department of Electrical and Computer Engineering, College of Computer and Information Science, Northeastern University, Boston, MA, USA1
SK Telecom, Seoul, Republic of Korea1
KAIST, Daejeon, Republic of Korea1
Department of Computer Science and Engineering, University of Calcutta, Kolkata, India1
Carnegie Mellon University, tk@cs.cmu.edu1
Siemens Corporate Research, yakup.genc@siemens.com1
Siemens Corporate Research, yanghai.tsin@siemens.com1
Carnegie Mellon University, yanli@cs.cmu.edu1
Robotics and Embedded Systems, Technische Universität München, Garching, Germany1
Tokyo Institute of Technology, Japan1
Department of Electrical and Computer Engineering, Saginaw Valley State University, University Ctr, MI- 487101
School of Computer, Wuhan University, China1
School of Physics, Nanjing University, China1
Electrical and Electronic Engineering, Imperial College London, UK1
Information Science and Electrical Engineering, Kyushu University, Japan1
Department of Computer Science and Information Engineering, National United University, Miaoli, Taiwan1
Kent State University, Kent, USA1
Texas A&M University, College Station, USA1
The DiVE, Durham, USA1
Side Effects Software, Santa Monica, USA1
IBM T.J. Watson Research Center, Yorktown Heights, USA1
University of Houston, Houston, USA1
University of Nevada, Reno, USA1
ICT Center, CSIRO, Brisbane, Australia1
ICT Center, CSIRO, Sydney, Australia1
Georgia Institute of Technology, USA1
Chinese Academy of Sciences, Beijing, 100080, China1
Computer Vision Research lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA1
Center for OPTical Imagery Analysis and Learning, Northwestern Polytechnical University, Shaanxi, China1
TCTS Lab, Faculté Polytechnique de Mons, Belgium1
Speech Technology Group, Technical University of Madrid, Spain1
TALP Research Center, Universitat Politècnica de Catalunya, Spain1
Electrical and Electronics Engineering Dept., Bogazici University, Turkey1
AIIA Lab, Aristotle University of Thessaloniki, Greece1
TELE Lab, Université catholique de Louvain, Belgium1
Department of Statistics, Psychology and Computer Science, University of California at Los Angeles, Los Angeles, USA1
Alibaba Group R&D, Hangzhou, P.R. China1
Department of Statistics, University of California at Los Angeles, Los Angeles, USA1
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg1
Department of Electrical and Computer Engineering, Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal1
Department of Electrical and Computer Engineering, Instituto de Telecomunicações, University of Coimbra, Coimbra, Portugal1
Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Institut Fresnel, UMR CNRS 7249, Ecole Centrale Marseille, France1
Securics, Inc. Colorado Springs, CO, USA1
Institute of Computing, University of Campinas (Unicamp) Campinas, SP, Brazil1
TRI-UHN, Toronto, ON M5S2E4 Canada1
TWH-UHN, Toronto, ON, M5S1A8 Canada1
The Ottawa Hospital Research Institute, Department of Medicine, University of Ottawa, ON, K1H8M5 Canada1
TRI-UHN, Toronto, ON, M5G2A2 Canada1
Intel Labs, 4720 Forbes Ave, Pittsburgh, PA 15213, United States1
UC Berkeley, California, United States1
Onfido, London, United Kingdom1
Institute of Engineering, University of Dunaujvaros, Dunaujvaros, Hungary1
Department of Computer Science, New Jersey, Institute of Technology, Newark, 07102, USA1
KU Leuven, Leuven, Belgium1
University of Washington, Tacoma & Ghent University, Tacoma, WA, USA1
University of California, Santa Cruz & Ghent University, Santa Cruz, CA, USA1
School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana, USA1
University of Texas at Dallas, Dallas, TX, USA1
Department of Software Engineering, King Saud University, Riyadh, Saudi Arabia1
Kamala Nehru Institute of Technology, Sultanpur, India1
Designer at the National Institute of Design, Ahmedabad, India1
Faculty of Engineering & Technology, Chattisgarh, India1
Rajarshi School of Management and Technology, Varanasi, India1
Kodak Research Laboratories, Eastman Kodak Company, Rochester1
Faculty of Information Technology Engineering, Tarbiat Modares University, Tehran, Iran1
Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran1
Electrical and Computer Engineering, Ryerson University, Toronto, Canada1
Department of Electrical and Computing Engineering, Ryerson University, Toronto, Canada1
Department of Electrical and Computer Engineering, Naresuan University, Muang, Thailand1
Sandia National Labs Albuquerque, NM1
Grupo de Investigación GDSPROC Universidad del Quinío1
Electronic and Computer Engineering (DIEEI) University of Catania, Department of Electrical, Catania, Italy1
Department of Electronic Engineering, The Chinese University of Hong, Kong Hong Kong, China1
State Grid Zhangjiakou Power Supply Company, Zhang Jiakou, 075000, China1
School of Big Data and Software Engineering, Chongqing University, Chongqing, China1
Department of Art History, Sichuan Fine Arts Institute, Chongqing, China1
College of Medical Informatics, Chongqing Medical University, Chongqing, China1
Institut Pascal, UMR 6602 CNRS, Clermont-Ferrand, France1
Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt1
OmniVision Technologies Singapore Pte. Ltd., Singapore1
Platinum Solutions, Inc, Reston, Virginia United States1
Naval Criminal Investigative Services, NCIS, Washington, DC United States1
Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan1
Department of Computer Science and Technology, Xiamen University of Technology, Xiamen, China1
Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China. anthonyming@gmail.com1
Federal University of Ceará, Fortaleza, Brazil1
Federal Institute of Education, Science and Technology of Paraiba, Esperança, Brazil1
Federal Institute of Education, Science and Technology of Maranhão, São Luís, Brazil1
Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil1
College of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China1
Department of Information, The Third Affiliated Hospital, Sun Yat-sen University, China1
Baidu Big Data Research Laboratory, Sunnyvale, CA, USA1
IIT-M1
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Google and Hewlett-Packard Labs1
LinkedIn and Hewlett-Packard Labs1
Amirkabir University of Technology, Electrical Engineering Department, Tehran, Iran1
School of Computing and Communication, University of Technology Sydney, Sydney, Australia1
School of Electronic and Information Engineering, Inner Mongolia University of Science and Technology, Baotou, People’s Republic of China1
School of Electronic and Information Engineering, Beihang University, Beijing, People’s Republic of China1
Department of Computer Science and Technology, Wuhan Technology and Business University, 430065, China1
Department of Psychology and IIASS, Second University of Naples, Caserta, Italy1
AIIS Inc, Columbus, USA1
Wright State University, Dayton, USA1
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia1
Disney Research, 4615 Forbes Ave, Pittsburgh, PA 15213, USA1
Department of Computer Science and Engineering, Manonmanium Sundaranar University, Tirunelveli, India1
Department of M. C. A., St. Xavier's Catholic College of Engineering, Nagercoil, India1
Department of Environment Perception, Daimler AG, Ulm, Germany1
AMLab, University of Amsterdam, Amsterdam, The Netherlands1
Boeing Company, Huntington Beach, CA1
California State University, Fullerton and Binghamton University, Binghamton, NY1
Harbin Engineering University, Harbin, China1
Department of Computer Software, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan1
Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, jonas.richiardi@epfl.ch1
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, P.R. China1
Shaanxi Rural Commercial Bank Co., Ltd., Shangluo, China1
Sense Time Group Limited1
School of Information Science and Technology Sun Yat-sen University, Guangzhou 510275, China1
MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, Hefei 230027; Department of Electronic Science & Technology, University of Science and Technology of China, Hefei 230027. E-mail: zlsustc@gmail.com1
Noblis, Annandale, VA, USA1
NODET, Iran1
Department of Biomedical Engineering, Hakim Sabzevari University, Iran1
Department of Electrical Engineering, Hakim Sabzevari University, Iran1
Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan, R.O.C.1
Division of Information System, The University of Aizu, Aizuwakamatsu, Japan1
Computer and Information System, The University of Aizu, Aizuwakamatsu, Japan1
Information and Technology Department, Nanjing Forest University, Nanjing, China1
Computer Science and Technology Department, Nanjing University, Nanjing, China1
Computational Brain Science Lab, Department of Computational Science and Technology, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm, Sweden1
3-8-1 Nishi-kanda, Morpho, Inc., Chiyoda-ku, Tokyo, 101-0065, Japan1
Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil1
Department of Electrical Engineering, Florida State University, Tallahassee, USA1
Institut Telecom, Telecom Lille1, LIFL (UMR USTL/CNRS 8022), Villeneuve d’Ascq, France1
Department of Statistics, Florida State University, Tallahassee, USA1
Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan1
Department of Electronics and Communication Engineering, S.J.B. Institute of Technology, Bangalore, India1
Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, India1
Guangxi Experiment Center of Information Science, Guilin, China1
Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China1
Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan1
SATIE, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 94235 Cachan, France1
Institute for Man-Machine Interaction of RWTH Aachen University, 52074 Aachen, Germany1
KIT, EPFL1
Jaypee University of Engineering and Technology, Guna, India1
Advanced Scientific Computing Division, Euro-Mediterranean Centre on Climate Change, Lecce, Italy1
Department of Electrical and Electronic Engineering, University of Surrey, Guildford, U.K.1
University of Athens,, Athens, Greece1
Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece1
Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China1
College of computer & communication engineering, Qingdao, China1
Thales UK, Glasgow1
Department of Embedded Systems, Institute for Infocomm Research, Singapore1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey1
National Computer network Emergency Response technical Team/Coordination, Center of China, Beijing 100029, China and Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (C ...1
Monash University, Caulfield East, Australia1
School of Math and Geospatial Sciences, Royal Melbourne Institute of Technology University , Melbourne, Australia1
Department of radiology, Stanford University, CA, USA1
Intelligent Fiber Optic Systems Corporation, Santa Clara, CA, USA1
LSIIT, Strasbourg University - CNRS - INSA, Strasbourg, France1
Japan Automobile Research Institute, Minato-ku, Tokyo 105-0012, Japan1
Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA1
Department of Computer Science, Stanford University, Stanford, USA1
School of Mathematics, Beihang University, Beijing, China1
The Robotics Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA1
Queensland University of Technology (QUT)1
Technicolor, Cesson-Sévigné, France1
Universidad de Zaragoza, I3A, Zaragoza, Spain1
Department of EEE, Coimbatore Institute of Technology, Coimbatore, India1
Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India1
Department of Computer Science and Information Systems, London, U.K.1
National Laboratory of Pattern Recognition, Institute of Automation, Bejing, China1
Department of Automation, Beijing, China1
Institute of Intelligent System and Decision, Zhejiang, China1
Universidad de Las Palmas de Gran Canaria, SIANI, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain1
CEERI, Pilani, India1
MNIT, Jaipur, India1
Northumbria University, Newcastle, U.K.1
Faculty of Electronic Engineering, Department of Physics and Electronic Engineering, Taishan University, Tai’an, China1
Faculty of Electronic and Communication, Department of Information Science and Engineering, Yanshan University, Qinhuangdao, China1
IBM T. J. Watson Research Center, New York, USA1
Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran1
Key Laboratory of Complex Systems and Intelligent Science, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Institute for Information and System Science, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China1
Department of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China1
School of Science and Technology, Tokai University, Tokai, Japan1
European University Cyprus, Nicosia, Cyprus1
IMIS, R.C. Athena, Athens, Greece1
CNRS, Université de Lyon, Lyon, France1
Teklia SAS, Paris, France1
LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France1
A2iA SA, Paris, France1
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China1
School of Mathematics, Central China Normal University, Wuhan, China1
UBTech Sydney Artificial Intelligence Institute and the School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, J12/318 Cleveland St, Darlington, NSW, Australia1
Department of Computer Science, University of Mysore, Mysore, India1
National Science Library, Chinese Academy of Sciences, Beijing, China1
Departament de Ciències de la Coputació, Computer Vision Center, Universitat Autònoma de Barcelona, Catalonia, Spain1
Department of ECE, PEC University of Technology, Chandigarh, India1
Biomedical Instrumentation (V-02), CSIR-Central Scientific Instruments Organisation (CSIO)|, Chandigarh, India1
Department of TCE, K S Institute of Technology, Bangalore, Karnataka, India1
Samsung Advanced Institute of Technology, Samsung Electronics, Gyeonggi-do, Korea1
Sibley School of Mechanical & Aerospace Engineering, Cornell University, Ithaca NY, 14853, USA1
Senior Member, IEEE1
Department of Computer Science, Minjiang University, Fuzhou, People’s Republic of China1
Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, People’s Republic of China1
Center for Biological and Computational Learning, M.I.T., Cambridge, USA1
FZI Research Center for Information Technology, Mobile Perception Systems, 76131 Karlsruhe, Germany1
Istanbul Technical University, Computer Engineering Department, 34469, Turkey1
Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. claus.neubauer@siemens.com1
Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. chao.yuan@siemens.com1
Univ Bretagne Occidentale, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France; CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France1
ENST, Bretagne, GET-ENST, Brest, F-29200 France1
CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France1
Univ Bretagne Occidentale, U650, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France Mathieu.Lamard@univ-brest.fr1
Dept. of EE, Univ. at Buffalo, SUNY, USA1
Research Institute 704, Academy of Aerospace Electronics Technology, Beijing, China1
School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India1
School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India1
Aalto University, espoo, Finland1
Universitat Autonoma de Barcelona, barcelona, Spain1
Linkoping University, Linkoping, Sweden1
Aalto University, Espoo, Finland1
Visual Geometry Group, Department of Engineering Science, University of Oxford1
University of Maryland, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, College Park, Shanghai, MD, USAChina1
Mirada Medical Ltd., Oxford, UK1
Department of Engineering Science, University of Oxford and Mirada Medical Ltd., Oxford, UK1
Center for Advanced Studies in Identity Sciences, Clemson University, Clemson, SC, USA1
Center for Advanced Studies in Identity Sciences, University of North Carolina at Wilmington, Wilmington, NC, USA1
Department of Electronics and Telecommunications Engineering, Danang University of Science and Technology1
University of Rochester, New York, USA1
Microsoft Research, Beijing, People’s Republic of China1
University of Michigan, Ann Arbor1
Department of Computer Science and Technology University of Bedfordshire United Kingdom1
Computer Vision Laboratory Group, Universidad de Zaragoza, Zaragoza, Spain1
Escuela Superior de Ingenieros, Universidad del Pais Vasco, Bilbao, Spain1
Universidad de Valladolid, Valladolid, Spain1
Universidad Politecnica de Cataluña, Terrassa, Spain1
Escuela Universitaria Politecnica de Mataro, Mataro, Spain1
EPS, Universidad Autonoma de Madrid, Madrid, Spain1
University of Pittsburgh, Pittsburgh and Carnegie Mellon University, Pittsburgh1
Center for Pattern Recognition and Machine Intelligence, Concordia University, Montreal, Canada1
Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
Department of Developmental Psychology, Radboud University, Nijmegen, The Netherlands1
Pluryn, Hoenderloo, The Netherlands1
Stichting Otto Gerhard Heldring, Zetten, The Netherlands1
Karakter Child and Adolescent Psychiatry University Centre Nijmegen, Nijmegen, The Netherlands1
Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, The Netherlands1
Centre for Cognition, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands1
Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
School of Tai-an, Shandong University of Science and Technology, Tai-an, China1
Nara Inst. of Science and Technology, Nara, Japan1
Biometrics Research Center, Hong Kong Polytechnic University, Hong Kong1
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xi’an, China1
Department of Computer Scicence and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. E-mail: csqjzhao@polyu.edu.hk1
Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA1
Baidu Research-Institute for Deep Learning, Baidu Inc., Beijing, China1
Xi'an Jiaotong University1
Department of CSE, HBTIU, Kanpur (India)1
Department of IT, UIET, CSJMU Kanpur (India)1
Department of CSE, PSIT COE, Kanpur (India)1
Agency for Science Technology and Research, Institute for Infocomm Research, Singapore1
Treelogic, Technological Scientific Park of Asturias, Llanera, Spain1
Department of Computer Science and Engineering, University of Oviedo, Gijón, Spain1
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, Gijón, Spain1
The School of Electrical Engineering and Automation, Harbin Institute of Technology, P.R. China1
The School of Computer Science and Software Engineering, Shenzhen University1
The Faculty of Science & Technology, Bournemouth University, UK1
Integrated Management Coastal Research Institute, Universitat Politècnica de València, València, Spain1
Department of Computer Science, Madrid Open University, Madrid, Spain1
Department of Research and Diagnostic Methods, Faculty of Education, Pontificia University of Salamanca, Salamanca, Spain1
Sunway University, 46150 Petaling Jaya, Malaysia1
Robotics, Perception and Real-Time Group, University of Zaragoza, Spain1
Electronics Engineering and Computer Science Department, Fukuoka University, Japan1
Department of Intelligent Systems, Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395 Japan1
The University of Tokushima, Japan1
Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan1
Department of Electrical Engineering, National University of Kaohsiung, Taiwan1
School of Computer Science and Technology and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, China1
School of Software Engineering, Jinling Institute of Technology, Nanjing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100196, China1
Università degli Studi di Cagliari, Italy1
Graduate Institute of Networking and Multimedia, National Taiwan University1
VLSI Design and Education Center (VDEC), The University of Tokyo1
Electronics and Communication Engineering Department of S.K.P. Engineering College, Thiruvannamalai, Tamilnadu, INDIA1
Electronics and Communication Engineering Department of Institute of Road and Transport Technology, Erode, Tamilnadu 638316, INDIA1
Shanghai University, China1
Politics and Enterprise Buisiness Department, Bingosoft Co. Ltd, Guangzhou, China1
Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, Enschede, The Netherlands1
Department of Computer Science, Middlesex University, London, UK1
Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA1
Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
School of Computer Science and Engineering, Shandong Normal University, Jinan, China1
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China1
School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, P.R. China1
Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, 210096, P.R. China1
Department of Electrical Engineering, National University of Computer and Emerging Sciences, Pakistan1
Department of Electrical and Electronics Engineering, University of Sheffield, UK1
Institute of Computing Technology, Chinese Academy of Science, Beijing, China1
Institute of Computing Technology, CAS & University of Chinese Academy of Sciences1
National Taichung University of science and Technology, Taichung1
Institute of Optics and Electronics, Chinese Academy of Science1
Institute of Optics and Electronics, Chinese Academy of Science, University of Chinese Academy of Sciences1
Institute of Optics and Electronics, Chinese Academy of Science, University of Electronic Science and Technology of China, University of Chinese Academy of Sciences1
IRSEEM1
Graph@FIT, Brno University of Technology, Brno, Czech Republic1
College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, China1
Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, China1
Hubei University, Wuhan, China1
Kumamoto University, Kumamoto, Japan1
Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, CASIA, Beijing, China1
Software System Research Department, China Electronics Technology Group Corporation No. 38 Research Institute, Hefei, China1
Department of Electrical and Computer Engineering, University of Missouri, Columbia, USA1
Laboratory of Precision Opto-Mechatronics Technology, School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing, China1
Morpho, Safran Group and Télécom ParisTech, CNRS LTCI and Université Pierre et Marie Curie, LIP61
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Speech, Audio, Image, and Video Technology Laboratory, Queensland University of Technology , Brisbane, Australia1
Speech, Audio, Image, and Video Technology Laboratory, Queensland University of Technology, Brisbane, Australia1
Commonwealth Scientific and Industrial Research Organization, Pullenvale, Australia1
Department of Psychology, University of Pittsburgh, Pittsburgh, PA , USA1
Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA1
Key Laboratory of Intelligent Processing, Institute of Computing Technology, CAS, Chinese Academy of Sciences (CAS), Beijing, People’s Republic of China1
Visiting Faculty, CVIT, IIIT Hyderabad, India1
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Department of Electrical and Computer Engineering, Texas A&M University, College Station, USA1
School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China1
Institute of Communication and Computer Systems, Athens, Greece1
Technical University of Crete, Chania Crete1
Disney Research, Zürich, Switzerland1
Autonomous Systems Lab, ETH Zürich, Zürich, Switzerland1
Chinese Academy of Sciences, Xi’an Institute of Optics and Precision Mechanics, Xi’an, China1
Department of Computer Engineering, Air Force Academy, Istanbul, Turkey1
CSE, SUNY at Buffalo, USA and Southeast University, China1
Vehicle Engineering Development Div., Toyota Motor Corporation, Japan1
Collaborative Safety Research Center, Toyota Motor Engineering & Manufacturing North America Inc., USA1
Knowledge Enterprise Development, Arizona State University, Tempe, 85287-5406 United States1
Computer Science, Florida State University, Tallahassee, United States1
Computing Informatics and Decision Systems Engineering, Arizona State University, Tempe, United States1
Department of Computer Science, University of Texas at San Antonio, San Antonio, USA1
Eedoo Inc, Beijing, China1
Oak Ridge National Laboratory, Tennessee, USA1
School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300811
School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300811
Department of Telecommunication, AGH University of Science and Technology, Kraków, Poland1
Department of EEE, Xi’an Jiaotong-Liverpool University, Jiangsu, China1
The College of Information Engineering, Xiangtan University, Hunan, China1
Res. Center for Learning Sci., Southeast Univ., Jiangsu, China1
Department of Cognitive Systems, University of Tübingen, Germany, 720761
The State Key Laboratory of High Performance Computing (HPCL), National University of Defense Technology, Changsha, China, 4100731
Department of Electrical Engineering, PEC University of Technology, Chandigarh-160012, India1
Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USA1
School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Korea1
School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Northfields Avenue, Wollongong, NSW 2522, AUSTRALIA. email: fhct243@uow.edu.au1
Faculty of Information Technology, VUT — Brno University of Technology, Brno, Czech Republic1
IBM T. J. Watson Research Center1
Department of Control Engineering, Istanbul Technical University, Turkey1
School of Computer Science and Technology, State Key Laboratory of Software Development Environment, Beihang University, Beijing, China1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). enrique.cabello@urjc.es1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). angel.serrano@urjc.es1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). cristina.conde@urjc.es1
MPI Informatics, Saarbrücken, Germany1
Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium1
Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany1
Department of Psychiatry and Psychotherapy, Neurophysiology and Interventional Neuropsychiatry, University of Tübingen, Tübingen, Germany1
Department of Clinical Psychology und Psychotherapy, University of Tübingen, Tübingen, Germany1
Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, Modena, Italy1
Department of Research the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
Facebook, Menlo Park, USA1
FXPal, Palo Alto, CA, USA1
Department of Mechatronic & Biomedical Engineering, Universiti Tunku Abdul Rahman (UTAR), Kuala Lumpur, Malaysia1
School of Computer Science and Techonolgy, Beiing Institute of Technology Beijing, China1
Artificial Intelligence Laboratory, University of Zurich, Switzerland1
AI Lab, TAL Education Group, College of Electronics and Information Engineering, Sichuan University, Chengdu, China1
Institute of High Performance Computing, A*STAR, Singapore1
3OmniVision Technologies Singapore Pte. Ltd., Singapore1
Department of ECE, National University of Singapore, Singapore1
Department of Computer Science and Technology, Yangzhou University, Yangzhou, People’s Republic of China1
School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, People’s Republic of China1
School of Computing and Information, Hefei University of Technology, Hefei, China1
EURECOM, Sophia-Antipolis, France1
EECS, University of Central Florida, Orlando, USA1
Dept. of Information Engineering, University of Trento, Povo, Italy1
Department of Computer Science and Technology, Jiangnan University, Wuxi, China1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology of Sydney, Ultimo, Australia1
Department of Electronic Science and Engineering, National University of Defense Technology, Changsha, China1
Department of Mathematics and Systems Science, National University of Defense Technology, Changsha, China1
Low Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang, China1
Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia1
University, Kowloon, Hong Kong1
Seelicon Research, Princeton, NJ1
Columbia University, NEW YORK, NY, USA1
School of Computer Science and Engineering, Chongqing University of Technology, China1
Bell Labs, Cambridge, UK1
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Robotic Surgery, Kaleida Health Western New York, Buffalo NY 14214 USA1
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Statistics Department, Univ. of California at Los Angeles, Los Angeles, CA 90095. zjxu@stat.ucla.edu1
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Key Laboratory of Optoelectronic Technology and Systems of Ministry of Education, Chongqing University, Chongqing, China1
Department of Computer Science & Engineering, Arizona State University, Tempe, USA1
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Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76131 Karlsruhe, Germany1
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Yahoo, Inc.1
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Institutes of Innovation for Future Society, Nagoya University, Aichi, Japan1
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Division of Forensic Medicine, University of Cape Town, South Africa1
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National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, 100190, China1
Huawei Technologies Co. Ltd, Shenzhen, China, 5180001
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City University of Hong Kong, Hongkong, China1
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Teacher Training in Mathematics, Gazi Faculty of Education, Gazi University, Ankara, Turkey1
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Istanbul Technical University, Faculty of Computer and Informatics, Istanbul, Turkey1
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Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing, China1
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Department of Electrical and Information Engineering, Northeast Agricultural University, Harbin, China1
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Electrical Engineering Department Semnan University Semnan, Iran1
Hyundai Motor bldg., Hyundai Mnsoft, Seoul, 04365, Korea1
School of Electronics and Computer Science, University of Southampton, UK. jnc@ecs.soton.ac.uk1
Department of Electrical and Computer Engineering, North Dakota State University, Fargo, 58158, USA1
History of Art, University of California, Berkeley, U.S.A.1
Computer Science, Duke University, U.S.A.1
University of Western Australia, School of EECE, Crawley, Australia1
Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China1
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Machine Vision Group, University of Oulu, Oulu, Finland1
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Fujifilm Software, San Jose, USA1
Department of Computer Science, Nanjing University of Science and Technology, Nanjing 210094, P.R. China1
Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102,1
Enerji Sistemleri Müh. Bölümü Teknoloji Fakültesi, Firat Üniversitesi Elaziğ, Türkiye1
Elektrik-Elektronik Müh. Bölümü Teknoloji Fakültesi, Firat Üniversitesi Elaziğ, Türkiye1
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Daimler Chrysler, Research and Technology, Bangalore, India1
Department of Telecommunication, B.M.S College of Engineering, Bangalore, India1
Subex Azure Limited, Bangalore, India1
Xi'an Jiaotong Univeristy Guangdong Province Shunde Research Insitute, Foshan, 528000, China1
School of Automation Guangdong University of Technology, Higher Education Mega Center, Guangzhou, China1
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Inst. of Autom., Chinese Acad. of Sci., Beijing, China1
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Panasonic Singapore Laboratories Pte Ltd1
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College of Command Information System, PLA University of Science and Technology, Nanjing 210000, China1
Department of Rail Transit Engineering, Chongqing Vocational College of Transportation, Chongqing, 402247, China1
National Laboratory of Pattern Recognition, Beijing, China1
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Department of Computer Science, State University of New York at Binghamton, Binghamton, NY, 13902. phone: 607-777-5484; email: lijun@cs.binghamtonn.edu1
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Department of Computer Science, State University of New York at Binghamton. Binghamton, NY, 13902; IBM at Endicott, NY.1
COMSATS Institute of Information Technology, Islamabad1
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Institute of Automation, Chinese Academy of Science, Beijing, China1
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Intelligence Technology Innovation Center, Washington, DC. king@biometrics.org1
University of North Carolina Wilmington. ricanekk@uncw.edu1
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Institut TELECOM, TELECOM Lille 1, LIFL (UMR 8022), Lille, France1
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School of computer, Beijing University of Posts and Telecommunications, Beijing, China1
Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kajang, Malaysia1
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Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands1
School of Computing and Communications, Lancaster University, Lancaster, UK1
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Tampere University, Finland, Tampere, Finland1
Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee , Milwaukee, WI, USA1
Department of Electrical Engineering, Amirkabir University of Technology , Tehran, Iran1
Multimedia Interaction and Understanding Lab, Hewlett-Packard Laboratories, Palo Alto, California, USA1
Department of Computer Science and Engineering and the Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA1
Department of Computer Science, Catholic University of Murcia, Murcia, Spain1
Department of Information Technology, Lappeenranta University of Technology, P.O.Box 20, FIN-53851 Lappeenranta, FINLAND, email: ilonen@lut.fi1
College of Electronics and Information Engineering, Sichuan University, Chengdu, China 6100641
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State Key Lab. of Software Engineering, Computer School, Wuhan University, 430072, China1
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Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom. k.messer@surrey.ac.uk1
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Department of Electrical and Computer Engineering, Kettering University, Flint, Michigan, USA1
Artiricial Intelligence Key Laboratory of Sichuan Sichuan, University of Science and Engineering, Zigong, Sichuan, China1
Defence Research and Development Canada, Ottawa, ON, Canada1
Ministry of Education of China, Zhejiang University Embedded System Engineering Research Center1
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Alibaba Group, Zhejiang University, Hangzhou, China1
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School of Informatics and Computing, Indiana University, Bloomington, IN, USA1
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA1
Centre for Artificial and Machine Intelligence, Manipal University, Karnataka-576104, India1
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Specialized Processor Architectures Lab Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain1
The Department of Psychology, The Pennsylvania State University, 450 Moore Building, University Park, PA 16802, USA1
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University of Central Florida, USA1
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Adobe Systems1
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Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing, China1
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Center for Machine Vision and Signal Analysis, Department of Computer Science and Engineering, University of Oulu, Oulu, Finland1
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, People’s Republic of China1
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School of Automatic, Nanjing University of Posts and Telecommunications, Nanjing, China1
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA1
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Université Technologique de Compiègne, 60200 Compiègne, France1
NetEase, Hangzhou, China1
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THALES-TRT 91767 Palaiseau, France1
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Fondazione Bruno Kessler, Trento, Italy and ICT Doctoral School, University of Trento, Italy1
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Department of Electrical and Electronic Engineering, University of Bristol, UK1
College of Computer and Communication Engineering, China University of Petroleum, Qingdao, China1
Tianjin Bohai Fisheries Research Institute, Tianjin, China1
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Pattern Recognition and Machine Intelligence Lab., Division of Computer and Electronic Systems Engineering, Hankuk University of Foreign Studies, Yongin-si, Republic of Korea1
University of Chinese Academy of Sciences, and the CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, China1
National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China1
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Department of Computer Science, Christian-Albrechts University, Kiel, Germany1
Engineering Lab on Intelligent Perception for Internet of Things, Peking University Shenzhen Graduate School, Shenzhen, China1
MOE Key Laboratory of Machine Perception, Peking University, Beijing, China1
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Department of Electrical and Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates1
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Center for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague 6, Czech Republic1
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NEC Laboratories America, Inc., Cupertino, CA, USA1
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Department of Telecommunications and Information Processing, Image Processing and Interpretation, UGent/iMinds, Ghent, Belgium1
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School of Mathematical and Physical Sciences at the University of Newcastle, Callaghan, NSW 2308, Australia1
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School of Information Technology, Deakin University, Burwood, Australia, 31251
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia. E-mail: bozidar.klimpak@gmail.com1
College of Physics and Electronics, Shandong Normal University, Jinan, China, 2500141
School of Control Science and Engineering, Shandong University, Jinan, China, 2500141
Dithen, London, U.K.1
Department of Microbiology and Immunology, Department of Computer Science and Engineering, Department of Biostatistics, University at Buffalo, The State University of New York, Buffalo, USA1
Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou, China1
New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, Buffalo, USA1
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Cogvis GmbH, Wiedner Hauptstrasse 17/3a, A-1040 Vienna1
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Ecole Centrale de Lyon, LTDS UMR5513, F-69134, France1
Ecole Centrale de Lyon, ICJ UMR5208, F-69134, France1
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Department of Computer Science, UNC-Charlotte, Charlotte, USA1
School of Information and Technology, Northwest University of China, Xi’an, China1
College of Metropolitan Transportation, Beijing University of Technology, Beijing, China1
Institute of Computing Technology, Chinese Academy of Sciences, Key Laboratory of Intelligent Information Processing, Beijing, China1
University of Gabes National Engineering School of Gabes, Tunisia1
Automatic Control and Systems Eng. Dept., University of Malaga, Superior Technical, Málaga, Spain1
Engineering Dept., E. Ada Byron, Univ of Zaragoza, Computer & Systems, Zaragoza, Spain1
Instituto Superior Tecnico - Torre Norte, University of Lisboa, Lisboa, Portugal1
Electrical and Computer Engineering Dept, University of Porto, Porto, Portugal1
Info Syst Dept;Campus de Azurém, University of Minho, Guimarães, Portugal1
Department of Material Handling and Logistics Systems, Budapest University of Technology, +Budapest, Hungary1
MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, +Budapest, Hungary1
College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China1
College of Information Science and Technology, Hainan University, Haikou, China1
State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, China1
University Iuav of Venice, Venezia, Italy1
Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC1
College of Computer and Information Sciences, Chongqing Normal University, Chongqing, China1
Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China1
Department of Computer Science, Chongqing University of Posts and Telecommunications, Chongqing, China1
Institute of Deep Learning, Baidu, Inc., Beijing, 100085, China1
School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India1
Dep. of Mathematics - University of Milan Via Saldini 50, I-20133 Milan - Italy1
Department of Electrical and Computer Engineering, Ryerson University, Toronto , Canada1
Indraprastha Institute of Information Technology Delhi, New Delhi 1100201
Sensing and Control Technology Laboratory, Omron Corporation, Kyoto 619-0283, Japan1
Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong1
Universitat De Girona (UDG), Spain1
Samsung Bangladesh R & D Center Ltd, Dhaka, Bangladesh1
Department of CSE, Prime University, Dhaka, Bangladesh1
Department of CIT, Islamic University of Technology, Gazipur, Bangladesh1
Alexandria High Institute for Engineering & Technology, Egypt1
Department of Mechanical Engineering, National Institute of Technology, Karnataka, Surathkal1
College of Science and Information, Qingdao Agricultural University, Qingdao, China1
Chinese University of Hong Kong1
Department of Electrical Engineering, Afeka, Tel Aviv Academic College of Engineering, Tel Aviv, Israel1
Biomedical Engineering Research Group, School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa1
DiCo, Università di Milano, Italy1
Istituto Chiossone, Italy1
Faculty of Mechanical Engineering Department and HRI Research Center, KAIST, Deajeon, Republic of Korea1
Mechanical Engineering Department and HRI Research Center, KAIST, Deajeon, Republic of Korea1
Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA1
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA1
Department of Computer Science and Engineering, SUNY Buffalo, NY, USA1
Department of Information System Service, Swiss German University, Tangerang, Indonesia1
Department of Computer Science, Pakuan University, Bogor, Indonesia1
Shanghai Research Institute of China Telecom. Corporation Limited1
Clayton School of Information Technology, Monash University, Melbourne, Australia. Email: damminda.alahakoon@infotech.monash.edu.au1
Clayton School of Information Technology, Monash University, Melbourne, Australia. Email: jeewanee.bamunusinghe@infotech.monash.edu.au1
School of Computer, Beijing Institute of Technology, Beijing, China1
Department of Computer Science and Technology, Nanjing Forestry University and Shandong University, Jinan, China1
Department of Language Studies, Nanjing Forestry University, Nanjing, China1
Department of Computer Science and Technology, Nanjing Forestry University, Nanjing, China1
The University of Manchester, Manchester, United Kingdom1
Nanjing Normal University & Nanjing University, Nanjing, China1
School of Information Engineering, Jiangxi Manufacturing Technology College, Nanchang, China1
School of Information Science and Engineering, Chengdu University, Chengdu, China1
School of Computer, Electronics and Information, Guangxi University, Guangxi, China1
Dept. of CIT, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh1
Dept. of Industrial and Management Engineering, Hankuk University of Foreign Studies, Yongin, Korea1
Siemens AG, Munich, Germany1
MITI, Klinikum rechts der Isar, Technische Universität München, Munich, Germany1
Aoki Media Sensing Lab, Keio University, Tokyo, Japan1
CVLAB, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
VGG, University of Oxford, Oxford, UK1
Computer Aided Medical Procedures, Technische Universität München, Munich, Germany1
Center for Signal and Image Processing, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta1
Department of Information and Computer Science, Aalto University, Finland1
Department of the Computer Science and Technology, Tsinghua University, China1
ICSI, UC Berkeley, Berkeley, USA1
Willow Garage, Inc., 68 Willow Road, Menlo Park, CA 94025, USA1
Itseez, Korolenko 19b, Nizhny Novgorod, Russia1
Institute of Computer Science, University of Tartu, Tartu, Estonia1
LIGM (UMR 8049), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France1
Navier (UMR 8205), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France1
School of Computer Science, The University of Notthingham, Nottingham, U.K.1
College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China1
University of Canberra and Australian National University, Canberra, Australia1
Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy1
Faculty of Information Technology, Czech Technical University in Prague, Prague 6, Czech Republic1
Helsinki Institute for Information Technology HIIT, University of Helsinki, Helsinki, Finland1
University of A Coruna, Corunna, Spain1
Intelligent Systems Lab Amsterdam, Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands1
University of Trento , Povo - Trento, Italy1
Università Ca’ Foscari Venezia, Venezia Mestre, Italy1
Universidad de Alicante, Spain1
School of Computer Science, The University of Manchester, Manchester, UK1
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, People’s Republic of China1
Department of Automation, University of Science and Technology of China, Hefei, People’s Republic of China1
PRISME Institute, ENSI de Bourges - University of Orléans, 88 Boulevard Lahitolle, 18020 BOURGES, France1
Jiangxi University of Finance and Economics, China1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xfwang@ustc.edu.cn1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xuejia@mail.ustc.edu.cn1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. sfwang@ustc.edu.cn1
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom1
PSYEC, India1
TCE, India1
Vickramce, MDU, India1
State Key Laboratory of CAD & CG, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang Province 310058, China1
ICTEAM-ELEN, Université catholique de Louvain, Louvain-La-Neuve, Belgium1
Department of Electronic Systems, Aalborg University Copenhagen, Denmark1
Department of Mathematics and Computer Science, Ecole Centrale de Lyon, CNRS, 69134, France1
Department of Electrical Engineering, College of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
Department of Electrical Engineering and Computer Science, Shibaura Institute of Technology Graduate School of Engineering and Science, Tokyo, Japan1
State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China1
School of Computer Science and Information Systems, Birkbeck College, University of London, WC1E 7HX, U.K.1
Biometrics Research Centre, Hong Kong Polytechnic University, Hung Hom, Kowloon, China1
Nagaoka University of Technology, Nagaoka, Niigata 940-2188, Japan1
Department of Applied Physics, Eindhoven University of Technology, The Netherlands1
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences1
Department of Computer and Information Science, Hunan University of Science and Engineering, Yongzhou, Hunan China, 4250061
School of Computer and Science Technology, Tianjin University, Tianjin, China1
School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China1
Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, China1
The Johns Hopkins University, Baltimore, USA1
School of Computer Science and Software Engineering, The University of Western Australia, Perth, WA, Australia1
School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW, Australia1
Department of Information Engineering and Computer Science, University of Trento, Trento, TN, Italy1
Snapchat Research, Venice, CA902911
Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA1
Security area everis Aerospace, Defense Security, Madrid, Spain1
Beauty Cosmetic Research Lab, Kao Corporation, Tokyo, Japan1
Department of Electrical and Computer Engineering, University of Miami, FL, USA1
Department of CS, University of Texas at San Antonio, 78249, USA1
Department of CSE, University at Buffalo (SUNY), NY 14260, USA1
University of Waterloo1
Faculty of Electrical Engineering, University of Ljubljana, EU, Slovenia1
Barcelona School of Telecommunications Engineering, Universitat Politcnica de Catalunya, EU, Spain1
National Institute of Technical Teachers' Training & Research, Kolkata, Salt Lake, Kolkata-700106, India1
Department of Computer Science, Texas State University, San Marcos TX, 78666-4616, USA1
Department of CSIS, Birla Institute of Technology and Science, Pilani, Pilani-333031, Rajasthan, India1
Dept. of Electrical and Electronic Eng., The University of Tokushima, Japan1
Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany1
IRISA, Campus Universitaire de Beaulieu, Rennes, France1
Graduate School of Medicine, Osaka University, Osaka, Japan1
Graduate School of Engineering,, University of Tokyo, Tokyo, Japan1
Information and Communications Headquarters,, Nagoya University, Nagoya, Japan1
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia. slobodan.ribaric@fer.hr1
Iowa State University, Ames, IA, USA1
Department of Information Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502 Japan1
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan. byliao@cc.kuas.edu.tw1
Visual Information Analysis and Processing Research Center Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China. zhemingl@yahoo.com1
Department of Electronic Engineering, National Kaohsiung, University of Applied Sciences, Kaohsiung, Taiwan. jspan@cc.kuas.edu.tw1
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China. junbaolihit@hotmail.com1
GRIFT Research Group, CRISTAL Laboratory, Ecole Nationale des Sciences de l’Informatique (ENSI), La Manouba University, La Manouba, Tunisia1
Department of Computer Science and Information Engineering, Ching-Yun University, Taiwan1
Department of Computer Engineering and Science of Yuan-Ze University, Taiwan1
College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China1
College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, China1
Department of Applied Mathematics, Yuncheng University, Yuncheng, China1
IBM Almaden Research Center, San Jose, CA, USA1
Department of Computer Science, University of Freiburg, Freiburg, Germany1
Politeknik Elektronika Negeri Surabaya, Indonesia1
REGIM: REsearch Groups on Intelligent Machines, University of Sfax, National Engineering School of Sfax (ENIS), Sfax, Tunisia1
Dept. of Formative Sciences and Psychology, University of Firenze - Italy1
Department of Computer Science, Stevens Institute of Technology, Hoboken, USA1
School of IoT Engineering, Jiangnan University, Wuxi, China1
School of Computer Engineering, Jiangsu University of Technology, Changzhou, China1
Dept. of Software and Computer Engineering, Ajou University, Suwon, South Korea1
Department of Electrical and Electronics Engineering, Anna University of Technology, Coimbatore, India1
Beijing Institute of Technology, School of Information and Electronics, Beijing, China1
ChongQing YuBei Experimental Primary School, Chongqing, China1
ChongQing College of Electronic Engineering, Chongqing, China1
Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Hong Kong1
Department of Computer Engineering, Bogazici University, Bebek, Istanbul, Turkey1
Department of Computer Engineering, Istanbul University, Avcilar, Istanbul, Turkey1
Department of Computer Engineering, Bahcesehir University, Besiktas, Istanbul, Turkey1
School of Electronic and Information Engineering, Foshan University, Foshan, China1
Tulane University, USA1
Institute of Communications Engineering, National Tsing Hua University, Taiwan, R.O.C1
Chinese Academy of Sciences and Anhui Province Key Laboratory of Intelligent connected technology, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China1
Intel Labs Pittsburgh, Carnegie Mellon1
University of Central, Florida1
Malaysian Institue of Industrial Technology, Universiti Kuala Lumpur, Johor1
Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur1
LEAR Team, INRIA Grenoble, Montbonnot, France1
Inteligent Systems Lab Amsterdam, University of Amsterdam, Amsterdam, The Netherlands1
CIEM-CONICET, FaMAF, Universidad Nacional de Córdoba, Córdoba, Argentina1
School of Nursing and Health Professions at Georgia State University, Atlanta, GA 30302, USA1
Department of Mechatronics Engineering, International Islamic University, Kuala Lumpur, Malaysia1
The faculty of the School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
The Division of Future Vehicle, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea1
UMass Dartmouth, Dartmouth, MA, USA1
HTC Research, Beijing, China1
QCIS, University of Technology, Sydney, Australia1
IIIS, Tsinghua University, Beijing, China1
Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China1
Shenzhen Academy of Robotics, Shenzhen, Guangdong, 518057, China1
School of Computer Science and Technology, Shandong University, Shandong, China1
AGH University of Science and Technology, Adama Mickiewicza, Krakow, Poland1
Interuniversity Microelectronics Centre, Heverlee, Belgium1
NPU-VUB Joint AVSP Lab, Department ETRO, Vrije Universiteit Brussel (VUB), Brussels, Belgium1
Shaanxi Key Laboratory on Speech and Image Information Processing, Xi’an, China1
NPU-VUB Joint AVSP Lab, School of Computer Science, Northwestern Polytechnical University (NPU), Xi’an, China1
Image processing center, Beihang University, Beijng, China1
Raytheon Missile Systems, Tucson, USA1
Facebook Inc., Palo Alto, CA, USA1
Research Institute of Computer Science and Technology, Ningbo University, Ningbo, China1
School of Software Technology, Dalian University of Technology1
Department of Multimedia, Sungkyul University, Korea1
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, Beijing, China1
National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences(CAS), Beijing, China1
Centre for Image Processing and Pattern Recognition, Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India1
National Key Laboratory for Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, China1
National and Local Joint Engineering Laboratory of Internet Application Technology on Mine, Xuzhou, China1
Internet of Things Perception Mine Research Center, China University of Mining and Technology, Xuzhou, China1
Dept. of Electrical and Computer Engineering, University of Calgary, AB, Canada1
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA1
Department of Electrical and Computer Engineering & CyLab, Carnegie Mellon University, Pittsburgh, PA1
Kakao Brain, Seongnam, South Korea1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL.1
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering and Electronics, University of Edinburgh, King's Buildings, Edinburgh, UK, EH9 3JL. Email: P.P.Kuo@ed.ac.uk1
University of North Carolina at Wilmington, USA1
UNCW, USA1
Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA1
INRIA - Willow Project, Laboratoire d´Informatique, École Normale Supérieure, France1
Image Processing Laboratory, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran1
Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran1
Faculty of Electronics, Wrocław University of Science and Technology, 50 370 Wrocław, Wyb. Wyspianskiego 27, Poland1
Multi-Modal Biometrics Lab, Institute for Infocomm Research, Republic of Singapore. wyyau@i2r.a-star.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Republic of Singapore. hw@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Republic of Singapore. nliu@pmail.ntu.edu.sg1
Electronics and Computer Department, Kumamoto Prefectural College of Technology, Japan1
School of Electrical Science and Engineering, National University of Defense Technology, Changsha, China1
Beijing Institute of Tracking and Telecommunications Technology, Beijing, China1
Department of Imaging Science and Biomedical Engineering, University of Manchester, Manchester, UK1
Sun Yat-Sen University, Guangzhou, Singapore1
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 1196131
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613. jgwang@i2r.a-star.edu.sg1
University of East Anglia, Norwich, United Kingdom1
Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, Australia1
Washington University, School of Medicine St. Louis, MO, USA1
Johns Hopkins Hospital, Baltimore, MD, USA1
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, China1
School of Computer Science and Technology, Nanjing University of Science of Science and Technology, Nanjing, China1
Ocean System Engineering Research Division, Korea Research Institute of Ships and Ocean Engineering (KRISO), Daejeon, Republic of Korea1
Urban Robotics Lab., Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea1
Sichuan University West China Hospital of Stomatology, Chengdu, China1
School of Software Engineering, Chengdu University of Information Technology, Chengdu, China1
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China1
University of Electronic Science and Technology of China, Chendu, China1
College of Computer Science, Guangdong University of Petrochemical Technology, Maoming, China1
Computer Science and Artificial Intelligence, MIT, Cambridge, MA1
Autonomous System Laboratory, ICT Centre, Commonwealth Scientific and Industrial Research Organisation, Pullenvale, Australia1
ETH Zurich, Switzerland and KU Leuven, Belgium1
Università di Firenze, Firenze, Italy1
TELECOM Lille1/LIFL, Villeneuve d'Ascq, France1
Università di Modena e Reggio Emilia, Modena, Italy1
University of Glasgow, Glasgow, United Kingdom1
MIT, Media Lab,, MA, USA1
Imperial College London , London, United Kingdom1
Microsoft Research, USA1
Aix Marseille Univ, CNRS, LIF, Marseille, France1
Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China1
Information& Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China1
Carnegie Mellon University and INRIA/Ecole Normale Supérieure, Paris1
INRIA/Ecole Normale Supérieure, Paris1
Institute of Advanced Translational Medicine & School of Software Engineering Tongji University, Shanghai 201804, China1
Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Center for Brain-Inspired Computing Research, Tsinghua University, Beijing, China1
Department of Computer Science, Nanjing University of Science and Technology, Nanjing, China1
Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China1
Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China1
Department of Electrical and Electronic Engineering, University of Cagliari, Italy1
Department of Computer Engineering, Istanbul University, Istanbul, Turkey1
Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey1
Electrical Engineering, Faculty of Engineering Chiang Mai University, Chiang Mai, Thailand1
Biomedical Engineering Centre, Chiang Mai University, Chiang Mai, Thailand1
Centre for Smart Grid and Information Convergence, XJTLU, Suzhou, People’s Republic of China1
Xi’an Jiaotong-Liverpool University, Suzhou, People’s Republic of China1
Database/Bioinformatics Laboratory, College of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea1
Department of Data Platform, Ping An Technology (ShenZhen) Company Limited, Pudong New Area, People’s Republic of China1
College of Information Engineering, Shanghai Maritime University, Shanghai, People’s Republic of China1
Institute of Electronics, Chinese Academy of Sciences1
Institute of Computer Science and Technology, Peking university, Beijing, China1
Computing Technology, Chinese Academy of Sciences, Beijing, China1
Department of Information Engineering, The Chinese University of Hong Kong, Shatin1
Department of Applied Optics and Photonics, University of Calcutta, Kolkata, India1
Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, India1
Department of Computing, Hong Kong Polytechnic University, Hong Kong1
Sapienza University of Rome, Via Salaria 113, 00198, Rome, Italy1
Shenzhen Polytechnic, Shenzhen, P. R. China1
School of Rail Transportation, Soochow University, Suzhou, China1
Department of Computer Engineering and IT, Amirkabir University of Technology, Tehran, Iran1
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran1
China Key System & Integrated Circuit Co. Ltd1
MICA International Research Institute (HUST - CNRS/UMI2954 - Grenoble INP), Hanoi University of Science and Technology, Vietnam1
FX Palo Alto Laboratory1
Azure Storage, Microsoft, Seattle, WA, USA1
Queen Mary University of London, United Kingdom1
Yamaha Motor Co., Ltd., Japan1
Chair of Computer Vision, Institute of Computer Science, Friedrich-Schiller-University, Jena, Germany1
École Normale Supérieure / PSL Research University, Paris, France1
Xi’an Jiaotong University, Xi’an, People’s Republic of China1
Department of Psychology, National University of Singapore, Singapore1
Department of Psychology, Southern Utah University, Cedar City, UT1
Marcus Autism Center, Children's Healthcare of Atlanta & Emory University School of Medicine, 1920 Briarcliff Rd NE, Atlanta, GA 30329, United States1
Imperial College London / University of Twente, SW7 2AZ, UK / Enschede, 7500 AE, NL, UK1
Queen Mary, University of London, Mile End Rd, London, E1 4NS, UK1
Mepco Schlenk Engineering College, Sivakasi, India1
Department:ECE, Mepco Schlenk Engineering College, Sivakasi, India1
ECE, Mepco Schlenk Engineering College, Sivakasi, India1
Institut de Robòtica i Informàtica Industrial, C. Llorens i Artigas 4-6, 08028, Barcelona, Spain1
Astellas Research Institute of America, IL, USA1
Tianjin Key Lab of Cognition Computing and Applications, Tianjin University, Tianjin, China1
Department of Computer Science and Technology, College of Computer, National University of Defense Technology, Changsha, Hunan, China, 4100731
Corresponding Author B, Wayne State University, Detroit, Michigan, USA1
THALES Services - 91767 Palaiseau, France1
I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France1
Institut Universitaire de France (IUF), Paris, France1
Université de Toulon, La Garde, France1
Aix-Marseille Université, Marseille, France1
Department of Computer Engineering, Chiang Mai University1
Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China1
Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, China1
Complex Lab, University of Electronic Science and Technology of China, Chengdu, China1
Technische Universität München / Imperial College London, Munich / London, England UK1
University of Geneva, Geneva, Switzerland1
School of Electronic and Information Engineering, Dalian University of Technology, Dalian, Liaoning Province, China. linhui_signal_dip@hotmail.com1
ISTC-Pervasive Computing Intel Labs, Seattle, WA 98115, USA1
Volvo Car Corporation, SE-405 31 Göteborg, Sweden1
Smart Eye AB, SE-413 27 Göteborg, Sweden1
Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE1
School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile end Campus, UK, E14NS1
Department of Computer Science, University of Paderborn, Pohlweg 47-49, 33098 Paderborn, Germany1
Department of Informatics, University of Oslo, P.O. Box 1080 Blindern, 0316 Oslo, Norway1
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology(ICT), Beijing, China1
The 3rd Research Institute of Ministry of Public Security, Yueyang Road, Shanghai, P.R. China1
Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, 415 Fengyang Road, Shanghai, P.R. China1
School of Economics and Management, Tongji University, Siping Road, Shanghai, P.R. China1
Centre for Development of Advance Computing IIPC-Building, NIT Silchar Campus Silchar, India1
School of Big Data & Software Engineering, Chongqing University, Chongqing, China1
Group of Research in Images Synthesis, Intelligence Artificial Laboratory, University Paris 8,1
Institute for Information technology National research Council of Canada Moncton NB Canada E1A 7R11
King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia1
School of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia1
Key Laboratory of Trusted Cloud Computing and Big Data Analysis, Nanjing Xiaozhuang University, Nanjing, China1
Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, 69134, France1
Department of Computer Science University Malaysia Terengganu, Terengganu, Malaysia1
School of Computer Science, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia1
Eindhoven University of Technology, P.O. Box 513, 5600 MB, NL1
ViNotion BV, P.O. Box 2346, 5600 CH, Eindhoven, NL1
Core Technology Center, Omron Corporation, Kyoto, Japan1
Department of Electrical and Computer Engineering, University of Maryland, College Park, MD1
Raytheon BBN Technologies, 10 Moulton St, Cambridge, MA1
General Electric Global Research, 1 Research Circle, Niskayuna, NY1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. lpreis@fe.up.pt1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. eduardo.valgode@gmail.com1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. rbraga@pucrs.br1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. pmf@fe.up.pt1
DISI-Alma Mater Studiorum, Università di Bologna, Bologna, Italy1
Department of Electronic Devices, Circuits, and Architectures, Faculty of Electronics, Telecommunication and Information Technology, University “Politehnica” of Bucharest, Romania1
Beijing University of Posts and Telecommunications/The University of Western Ontario1
Shenzhen Sunwin Intelligent Corporation, Shenzhen, China1
School of Computer Science and Information System, Pace University, New York USA1
School of Computer Science and Information Systems, Pace University, New York, USA1
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China1
Amazon Research, Berlin, Germany1
School of Computer Science and Engineering, Nanyang Technological University, Nanyang Avenue, Singapore1
Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India1
IKERBASQUE, Basque Foundation for Science, and the University of the Basque Country, San Sebastian, Spain1
Computer Vision Center, Edifici “O” - Campus UAB, 08193 Bellaterra (Barcelona), Spain1
Siemens Biometrics Center, Siemens IT Solutions and Services, Strassgangerstrasse 315, 8054 Graz, Austria1
Neusoft Corporation, Shenyang 110179, China1
University of California, San Diego, La Jolla, USA1
SET Media Inc, San Francisco, USA1
Walmart Labs, Bengaluru, India1
Cisco Systems Inc., Bengaluru, India1
Computer Science and Systems Engineering Department, Engineering Research Institute of Aragon (I3A), University of Zaragoza, Zaragoza, Spain1
Multimedia Technologies Division, Aragon Institute of Technology, Zaragoza, Spain1
Honda Research Institute USA, Inc., 400 National Ave, Mountain View, CA 94043, USA1
School of Geodesy and Geometry, Wuhan University, Hubei, China1
Faculty of Information Engineering, China University of Geosciences, Wuhan, China1
School of Electronic and Information Engineering, Sun Yat-sen Univercity, Guangzhou, China1
Department of Psychiatry, University of Minnesota, Minneapolis, USA1
Department of Computer Science and Engineering, University of Minnesota, Minneapolis, USA1
Computational Science Center, Brookhaven National Laboratory, Upton, NY, USA1
GE Global Research, San Ramon, CA, USA1
University of Abertay, Dundee, UK1
China University of Geosciences Wuhan, China1
Departamento de Automação, Goiano Federal Institute (IFGoiano), Trindade, Brazil1
Departamento Acadêmico, Federal Institute of Goiás (IFG), Senador Canedo, Brazil1
China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China1
The Faculty of ICT-Mahidol University, Thailand1
School of the Gifted Young, University of Science and Technology of China, Hefei, Anhui, 230026, P.R. China1
National Institute of Standards and Technology1
Department of Computer Science, University of Liverpool, UK1
Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany1
Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany1
School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA1
Dept. of Computer Science, Purdue University1
LM2S Research Unit, Charles Delaunay Institute, University of Technology of Troyes, France1
Shanghai Jitotong University, Shanghai, China1
National Lab of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China1
INRIA Grenoble, Grenoble, France1
ETH Zurich, Zurich, Switzerland1
Graduate School of Engineering Science, Department of Systems Innovation, Osaka University, Toyonaka, Japan1
Center for Cognitive Ubiquitous Computing, Arizona State University, Tempe, USA1
University of Science and Technology of China, Hefei,Anhui,China1
MIRACL Laboratory, College of Computers and Information Technology, Taif University, KSA1
MIRACL Laboratory, Higher Institute of Management Gabes, Sfax university - Gabes university, Tunisia1
National Engineering Laboratory for Video Technology and the Key Laboratory of Machine Perception (MoE), School of Electrical Engineering and Computer Science, Peking University, Beijing, China1
Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, USA1
College of Information and Technology, Incheon National University, Incheon, Korea1
School of Software Engineering, Beijing Jiaotong University, Beijing, China1
Department of Mechanical Engineering, Covenant University, Ota Ogun State, Nigeria1
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École Polytechnique Fédérale de Lausanne - CH-1015, Lausanne, Switzerland1
Itseez Incorporated, Nizhny Novgorod, Russia1
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State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China1
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Facebook, Mountain View, USA1
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Graz University of Technology, Institute for Computer Graphics and Vision, Inffeldgasse 16/II, 8010 Graz, Austria. pmroth@icg.tu-graz.ac.at1
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Toshiba Corporation, Principal Office, Technology Planning Division, 1-1, Shibaura 1-Chome, Minato-ku, Tokyo 105-8001, Japan1
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College of Computer Science, Nanjing University of Science and Technology, Nanjing, 210094, China1
National Engineering Research Center for Multimedia Software, Computer School, Wuhan University, Wuhan, 430079, China1
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Research & Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai, 201804, P.R. China1
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PRISM, Arizona State University, Tempe, USA1
Nanjing University of Aeronautics and Astronautics, Nanjing, P.R. China1
Dermalog Identification Systems GmbH, Hamburg, Germany1
Telecom laboratory, Centre de Développement des Technologies Avancées, Algeria1
Department of Information Technology, SSN College of Engineering Chennai, India1
School of Computer Science and Technology, Wuhan University of Science and Technology, China1
Department of Electrical and Electronic Engineering, Center for Automation Research, UMIACS, College Park, Maryland United States1
SEAS, Harvard University, Cambridge, Massachusetts 02138 United States1
AT&T Labs-Research, Middletown, New Jersey 07748 United States1
Electrical and Computer Engineering, University of Maryland, College Park, Maryland 20742 United States1
Fraunhofer Institute for Telecommunications - Heinrich-Hertz Institute1
Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, Shenzhen, ChinaChina1
Mobile Video Networking Technology Research Center, Shenzhen Graduate School, Peking University, Shenzhen, China1
Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France1
Electrical and Computer Engineering Department, Semnan University, Semnan, Iran1
Department of Computer Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
Universidad Rey Juan Carlos, Móstoles, Spain1
School of Computer Science, Universidad Rey Juan Carlos, Móstoles, Spain1
Università di Salerno, Dipartimento di Informatica, Fisciano, Italy1
Department of Electrical and Computer Engineering, The Ohio State University, OH, Columbus, 43210, USA1
School of Science and Technology, Meiji University, Kanagawa, Japan1
Bilgisayar Mühendisliği Bölümü, İstanbul Medeniyet Üniversitesi, Goztepe, Türkiye1
School of International Business Communications, Dongbei University of Finance & Economics, Dalian, China1
Department of Computer Science and Engineering, University of California, Riverside, USA1
UBTECH Sydney Artificial Intelligence Centre and the School of Information Technologies in the Faculty of Engineering and Information Technologies, University of Sydney, Darlington, Australia1
Lenovo Group Ltd, Beijing, China1
Department of Computer Science, Hangzhou Dianzi University, Hangzhou, China1
Department of Creative IT Engineering, POSTECH, Pohang, South Korea, 376731
University of Applied Sciences Jena, Jena, Germany1
Department of Mechanical and Aerospace Engineering, Syracuse University, USA1
Northeastern University, School of Information Science and Engineering, Shenyang, People’s Republic of China1
Dept. of Computing Science and Mathematics, University of Stirling, Stirling, Scotland, UK1
College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China1
Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan1
University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland1
AGV Systems Pvt. Ltd. Mumbai1
Viterbi School of Engineering, University of Southern California, Los Angeles, CA1
Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Eskişehir, Türkiye1
Jet Propulsion Laboratory, California Institute of Technology, USA1
Nanyang Technological University School of Computer Engineering1
Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra, India1
School of Mathematics, Shri Mata Vaishno Devi University, Katra, Jammu, India1
Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India1
Department of Psychology, Neuroscience and Behaviour, McMaster University, 1280 Main Street West, Hamilton, ON, Canada L8S 4K11
University of Oxford, Oxfordshire, United Kingdom1
Google DeepMind1
Five AI, Cambridge, United Kingdom1
Shanghai Film Academy, Shanghai University, Shanghai, China1
Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai, China1
Information Center, Criminal Investigation Department of Shanghai Public Security Bureau, Shanghai, China1
Kodak Alaris, Inc., Rochester, NY, USA1
Department of Electronics and Electrical Engineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, India1
University of Zagreb, Croatia1
Fraunhofer Institute for Computer Graphics Research, Germany1
Electronic Engineering Department, (MicroE), Universidad de Antioquia, Medellin, Colombia1
Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, E.T.S. de Ingenería Informática, Madrid, Spain1
Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain1
Electrical Department National, School of Engineering, Ibn ElJazzar, 5019, Monastir, Tunisia1
Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur, Malaysia1
Ningbo Institute of Technology, Zhejiang University, China1
Universidad Autonoma de Madrid, Madrid, Spain1
Interfaculty Initiative in Information Studies, The University of Tokyo, and JST, PRESTO1
Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan1
Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil1
Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil1
Technology Section, Israel National Police, Jerusalem, Israel1
Department of Electro-Optics Engineering, Ben-Gurion University, Beer Sheva, Israel1
College of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
Graduate School of Engineering, Shibaura Institute of Technology, Tokyo, Japan1
EY AI Lab, Palo Alto, USA1
University of New South Wales, Sydney, Australia1
Macquarie University, Sydney, Australia1
Biomedical Engineering Program, University of Manitoba, Winnipeg, Canada1
Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education, China1
Rutgers, The State University of New Jersey, USA1
University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany1
Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom1
School of Engineering and Advanced Technology, Massey University, Auckland, New Zealand1
College of Mechatronic Engineering and Automation, National University of Defense Technology, Changsha, China1
Kyushu Sangyo University, Fukuoka, Japan1
Monash University, Clayton, Australia1
Polytechnic University, Bari, Italy1
University of Minho, Braga, Portugal1
Covenant University, Canaanland, Nigeria1
University of Basilicata, Potenza, Italy1
University of Perugia, Perugia, Italy1
Shenzhen Center for Disease Control and Prevention, Shenzhen, China1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, University of Chinese Academy of Sciences, Beijing, China1
MBRDNA, Sunnyvale, US1
Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China1
The State Grid HuBei Information and Telecommunication Company, Wuhan, China1
Key Lab of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
School of Electronic Information Engineering, Tianjin University, 300072, China1
School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, U.K.1
Robotics Institute, Computer Vision Group, Carnegie Mellon University, Pittsburgh, PA1
Department of Computer Science, University of Brasilia, Brasília, Brazil1
Department of Electronics Engineering, University of Brasilia, Brasília, Brazil1
School of Information Science and Technology, Northwest University1
Department Of Space, SRO Satellite Centre (ISAC), Bengaluru, India1
Department of Space, Satish Dhawan Space Centre SHAR, ISRO, Sriharikota, India1
Department of Neurocognition, Maastricht University, Maastricht, The Netherlands1
Department of Psychonomics and Psychopharmacology, Utrecht University, Utrecht, The Netherlands1
Department of Child and Adolescent Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands1
Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki City, Japan1
School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China1
University of the Basque Country UPV/EHU, San Sebastian, Spain1
Computer Vision Center, Edifici “O”, Campus UAB, Bellaterra, Spain1
College of Computer Science, Dalian University of Technology, Dalian, China1
University of Antwerp, Wilrijk, Belgium1
CSIRO ICT Centre, Sydney, Australia1
Telecommunications and Information processing (TELIN), Ghent University, Ghent, Belgium1
DGA, Bagneux, France1
Universit´a di Salerno, 84084 Fisciano1
Department of Computer Science, University of Texas at San Antonio, TX, USA. qitian@cs.utsa.edu1
Hewlett-Packard Laboratories, Palo Alto, CA, USA. tong.zhang@hp.com1
Department of Computer Science, University of Texas at San Antonio, TX, USA. lyijuan@cs.utsa.edu1
Université des Antilles et de la Guyane (UAG), France1
Institut des Systèmes intelligents et de Robotique, UPMC, France1
Military College of Signals. Rawalpindi, Pakistan1
Chinese Academy of Sciences, Beijing, China, Harbin Institute of Technology, Harbin, China and Graduate School of the Chinese Academy of Sciences, Beijing, China1
Chinese Academy of Sciences, Beijing, China and Harbin Institute of Technology, Harbin, China1
Chinese Academy of Sciences, Beijing, China and Graduate School of the Chinese Academy of Sciences, Beijing, China1
Faculty of Information Technology, Brno University of Technology, Czech republic1
Xiamen University of Technology, Fujian, China1
Division of Electrical Engineering, Hanyang University, Ansan, South Korea1
School of Computing and Communication, University of Technology, Sydney, Australia1
Graduate School of Advanced Imaging Science. Multimedia & Film Chung-Ang University Seoul, Korea1
Department of Electrical Engineering, Imperial College, London, UK1
Department of Electrical-Mechanical Manufacturing Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand1
School of Engineering, University of California, Merced, CA1
Institute of Image Processing and Pattern Recognition, Xi’an Jiaotong University, Xi’an, Shaanxi, China1
Department of Software Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China1
Department of Mathematical Sciences, Georgia Southern University, Statesboro, USA1
Signal and Information Processing section (SIP), Department of Electronic Systems, Aalborg University, Denmark1
Section of Image Analysis and Computer Graphics, DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark1
Chinese Academy of Sciences, Shaanxi, P. R. China1
University of Sydney, NSW, Australia1
Chinese University of Hong Kong, Hong Kong1
Department of Computer System and Communication, Faculty of Information and Communication, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia1
Division Télécom, Centre de Développement des Technologies Avancées - CDTA, Algiers, Algeria1
Mechanical and Systems Research Laboratories, Institute of Industrial Technology Research, Hsinchu, Taiwan 310, China1
The Norwegian Color and Visual Computing Laboratory, Gjøvik University College, P.O. Box 191, N-2802, Norway1
Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital of Nanfang Medical University, 3012 Fuqiang Rd, Shenzhen, P.R. China1
Department of Electronic EngineeringCentre for Vision, Speech and Signal Processing, University of Surrey, Surrey, U.K.1
Department of Electrical EngineeringFaculty of Engineering, Urmia University, Urmia, Iran1
the Crash Safety Research Center, LLC, East Hampton, CT, USA1
University of Wisconsin-Madison, WI1
School of Computing Science, Northwestern Polytechnical University, Xi’an, China1
UPSud/INRIA Université Paris-Saclay, Saint-Aubin, France1
Instituto Nacional de Astrofísica, Puebla, Mexico1
Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France1
Department of Cognitive Science, School of Information Science and Engineering, Xiamen University, Xiamen, China1
School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, China1
Deparment of Computing, Goldsmiths, University of London, London, UK1
Graduate School of Engineering Science, Osaka University, Toyonaka, Japan1
Department of Statistics and Computer Science, University of Peradeniya, Sri Lanka1
Postgraduate Institute of Science, University of Peradeniya, Sri Lanka1
Department of Information Technology, YCCE, Nagpur, India1
Michigan State University1
Dept. of Comput. Graphics Technol., Purdue Univ., West Lafayette, IN, USA1
Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, People’s Republic of China1
ITK Engineering GmbH, Computer Vision Team, Lollar, Germany1
Department of Mathematics/Computer Science, Philipps-University of Marburg, Marburg, Germany1
IBM T.J. Watson Research Center, Hawthorne, USA1
University of Science Technology, Wuhan, China1
Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia1
University at Qatar, Doha, Qatar1
University of Istanbul, Istanbul, Turkey1
Department of Electronics & Communication Engineering AJ Institute of Engineering & Technology Mangalore, India1
Department of Computer Science & Engineering Vivekananda College of Engineering & Technology Puttur, India1
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China1
LJK–INRIA site, LJK–CNRS, Montbonnot, France1
Department of Electrical and Computer Engineering, University of California Santa Barbara1
Department of Computer Science, University of California Santa Barbara1
Beijing Jiaotong University, Beijing, China and China Three Gorges University, Yichang, Hubei, China1
Department of Electrical and Computer Engineering, University of Calgary, Calgary, Canada1
Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K.1
faculty of Science and Technology, University of Macau, Macau1
Department of Automation, Automotive Electronics and Embedded System Engineering Research Center, Chongqing University of Posts and Telecommunications, Chongqing, China1
Elec. Engineering and Computer Science, Queen Mary University of London, London, United Kingdom1
Dept. of Computer Science, National University of Singapore, Singapore, Singapore1
Department of Applied Computer Science, University of Winnipeg, Winnipeg, Canada1
Department of Electrical Engineering, University of New Orleans, LA 70148, U.S.A1
Dept. of Electronics and Electrical Engineering, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kanagawa-ken 223-8522, Japan1
Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama-shi, Kanagawa-ken 223-8522, Japan1
Division of Pediatric Ophthalmology and Adult Strabismus, The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, USA1
Advanced Digital Sciences Center, Connexis North Tower, Singapore1
Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong, China1
L3i Laboratory, La Rochelle University, Rochelle, France1
LITIS Laboratory, Rouen University, Rouen, France1
University of Nottingham, Nottingham, UK1
Department of Computer Science, City University of Hong Kong, Honk Kong, China1
National University of Ireland, Maynooth, Ireland1
LORIA, Villers-lès-Nancy Cedex, France1
Centre de Visió per Computador, Barcelona, Spain1
Computing Science and Mathematics, University of Stirling, Stirling, United Kingdom1
York University, Toronto1
Departamento de Informtica e Matemtica Aplicada/University of Rio Grande do Norte, Natal, Brazil1
Computer Engineering Department, Girne American University, Kyrenia, Cyprus 901
School of Engineering and Digital Arts, University of Kent, Canterbury, U.K.1
Faculty of Computer Science, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico1
Computer Vision Lab, ETH Zürich, Zürich, Switzerland1
Zürich University Hospital1
Münsingen Regional Hospital1
Graduate School of Chinese Academy of Sciences, Beijing, People’s Republic of China1
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, People’s Republic of China1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, People’s Republic of China1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, People’s Republic of China1
Yarmouk University, Jordan1
Department. of Electronics Engineering National Institute of Technical Teachers Training & Research Chennai, India1
Computer Science &Engineering, Sathyabama University, Chennai, India1
University of Washington &Microsoft, Seattle, WA, USA1
Dept. of Civil, Institute for Transportation, Iowa State University1
Biometrics Engineering Research Center, Yonsei University, Seoul, Korea1
Navy Center for Applied Research in AI Naval Research Laboratory, Code 5514 Washington, DC 203751
Dept. of Math & Computer Science Fayetteville State University Fayetteville, NC 283011
Computer Science Dept. University of Maryland College Park, MD 207421
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom dave.marshall@cs.cardiff.ac.uk1
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom paul.rosin@cs.cardiff.ac.uk1
School of Computer Science, University of Bath, Bath BA2 7AY, United Kingdom dpc@cs.bath.ac.uk1
School of Computer Science, Cardiff University, 5 The Parade, Roath, Cardiff, CF24 3AA, United Kingdom l.truong-benedikt@cs.cardiff.ac.uk1
Division of Engineering, New York University, Abu Dhabi, Abu Dhabi, United Arab Emirates1
Department of Information Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong1
Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland1
Centre of Quantum Computation and Intelligent Systems, University of Technology Sydney, Broadway, NSW, Australia1
University of New South Wales, Sydney, NSW, Australia1
University of Adelaide, Adelaide, SA, Australia1
Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xi'an, China1
College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China1
School of Integrated Technology, Yonsei University. Incheon, Korea1
School of Integrated Technology, Yonsei University, Incheon, Korea1
Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology Tsinghua University, Beijing, China1
College of Communication Engineering, Chongqing University, Shapingba district, Chongqing, China1
College of Information and Control Engineering, China University of Petroleum, Beijing, China1
Chinese Academy of Science, Institute of Information Engineering, Beijing, China1
Department of Computer Science and Digital Technologies, Northumbria University Newcastle upon Tyne, NE1 8ST, UK1
Department of Electronic and Electrical Engineering, The University of Sheffield Mappin Street, Sheffield, S1 3JD, UK1
Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China1
GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA 19104. jshi@cis.upenn.edu1
GRASP Laboratory, University of Pennsylvania, 3330 Walnut St., Philadelphia, PA 19104. psrin@seas.upenn.edu1
Dalian University of Technology, Dalian City1
Samsung Computer Vision Group Telecom R&D Center Beijing1
SeaTech School, Toulon University, La Garde, France1
LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France1
School of information technology, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China1
Islamic Azad University Arak Branch, Young Researchers Club Arak, Iran1
Islamic Azad University Arak Branch, Iran1
Islamic Azad University Shazand Branch, Iran1
School of Engineering The University of South Wales Pontypridd CF37 1DL, United Kingdom1
Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin, China1
Dept. of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Köln, Germany1
Imaging, Robotics, and Intelligent Systems Laboratory, Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, USA1
Computer Science and Engineering, CENG, Qatar University, Doha, Qatar1
LE2i Laboratory, University of Burgundy, Dijon, France1
Electrical and Computer Engineering Dept., National University of Singapore, Singapore 1175761
Siemens AG, Corporate Technology, 81739 Munich, Germany1
School of Computing, Teesside University, UK1
LMU Munich, Germany and Munich University of Applied Sciences, Germany and Bundeswehr University Munich, Germany1
LMU Munich, Germany and University of Glasgow, Scotland1
Medical College Kolkata, Kolkata, India1
Centre for Image Analysis, Uppsala University, Uppsala, Sweden1
School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India1
Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS), Pilani, India1
Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani, India1
School of Mathematics and Statistics, Guangdong University of Finance and Economics, Guangzhou, China1
Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, gtumuklu@ceng.metu.edu.tr1
Division of Digital Media Engineering, Sang-Myung University, Suwon, Republic of Korea1
Dept. of Biomedical Eng., University of Padua, Italy. enrico.grisan@unipd.it1
Dept. of Electr. Eng. and Physics, Heriot-Watt University, UK. p.favaro@hw.ac.uk1
Computer Science Dept., UCLA, USA. vedaldi@ucla.edu1
Instituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Santarém, Pará, Brasil1
Ocular Imaging Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore1
Hue University of Sciences, Vietnam1
Engineering Lab on Intelligent Perception for Internet of Things(ELIP), and the Key Laboratory of Machine Perception, Peking University, Beijing, 100087 China1
Laboratoire de Télécommunications et Télédétection, UCL, Louvain-La-Neuve, Belgium1
School of Electronics and Information Engineering, Xi'an Jiaotong University, China1
Department of Computer Science, Johns Hopkins University, Baltimore, United States1
Indian Institute of Engineering Science and Technology, Shibpur, India1
Department of Computer ScienceCortical Architecture Imaging and Discovery Laboratory, University of Georgia, Athens, GA, USA1
Civolution Technology, Eindhoven, The Netherlands1
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle, U.K.1
Toyota Technological Institute1
Tata Consultancy Services Ltd., TCS Research & Innovation, Kolkata, India1
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China1
Progeny Systems Corporation, 9500 Innovation Drive, Manassas VA 20110, USA1
Department of ECE Marian Engineering College Trivandrum, India1
Department of Computer Science, Chu Hai College of Higher Education, Tuen Mun, Hong Kong1
PolyU Shenzhen Research Institute, Shenzhen, China1
Medical Image Analysis Lab, Simon Fraser University, Burnaby, Canada1
BiSICL, University of British Columbia, Vancouver, Canada1
New York University1
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, People’s Republic of China1
Intel, Kontich, Belgium1
Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China1
EECS, UC Berkeley1
Department of Computer Science, Rutgers University, Piscataway, New Jersey 08854, USA1
INRIA Grenoble-Rhône-Alpes Research Center, France1
School of Computer Science and Information, Anhui Polytechnic University, Wuhu, China1
School of Computer and Information, AnHui Polytechnic University, WuHu, China1
Department of Oral and Maxillofacial Radiology, School of Dentistry, Wonkwang University, Iksan, Korea1
Qualcomm Technologies, Inc., San Diego, CA1
Kyushu Institute of Technology, Japan1
Delft University of Technology, Delft & Radboud University, Nijmegen, Netherlands1
St.-Petersburg Electrotechnical University, St.-Petersburg, Russia1
West Pomeranian University of Technology, Szczecin, Poland1
Department of Information Engineering, University of Florence, Firenze, Italy1
Electrical Engineering Department, IIT Roorkee, India1
Computer Engineering, Rochester Institute of Technology, New York 14623, USA1
Computing & Informational Sciences, Rochester Institute of Technology, New York 14623, USA1
National Formosa University, Yunlin, Taiwan1
Electrical Engineering Department, Kuwait University, Safat, Kuwait1
Electronic and Electrical Engineering Department, University of Surrey, Guildford, United Kingdom1
Department of E & TC, Pimpari Chinchwad College of Engineering, Pune-44, India1
University of Thiqar, Iraq1
Department of Computer Engg, Vishwakarma Institute of Technology, Pune-46, Maharashtra, India1
Brno University of Technology, Brno, Czech Rep1
Brno University of Technology & Adobe Research, Brno, Czech Rep1
School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China1
Department of Electrical Engineering, Shahid Rajaee University, Tehran, Iran1
Department of Electrical Engineering, Tarbiat Modarres University, Tehran, Iran1
School of Cognitive Sciences, Institute for Studies on Theoretical Physics and Mathematics, Tehran, Iran1
L2F - INESC-ID, Systems and Computers Research Institute, Lisbon, Portugal1
University of Sydney1
School of Information and Communication Technology, Griffith University, Southport, QLD, Australia1
Queensland Brain Institute, University of Queensland, Queensland, QLD, Australia1
School of Mathematics and Statistics, Xian Jiaotong University, Xian, China1
Vesalis company, Clermont-Ferrand, France1
College of Science, Northeast Agricultural University, Harbin, China1
College of Economics and Management, Northeast Agricultural University, Harbin, China1
College of Engineering, Northeast Agricultural University, Harbin, China1
School of Science and Engineering, Tokyo Institute of Technology, Japan1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, via Mersin 10, Turkey1
Department of Computer Engineering, Cyprus International University, via Mersin 10, Turkey1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. rama@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. ramanath@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of Computer Science, University of Maryland, College Park. gaurav@cfar.umd.edu1
Center for Automation Research, UMIACS, Dept. of ECE, University of Maryland, College Park. soma@cfar.umd.edu1
School of Electrical Engineering, Nantong University, Nantong, China1
Chinese Academy of Sciences, Chongqing, China1
Chinese Academy of Sciences, Chongqing, Singapore1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: stiefel@ira.uka.de1
Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: ekenel@ira.uka.de1
Chinese Academy of Engineering, Beijing, China1
Department of Biomedical Engineering, South China University of Technology, Guangdong, China1
University of Calgary, Calgary, T3G 2T6 AB, CANADA1
University of Louisville, Louisville, KY 40292 USA1
Tubitak Bilgem Information Technologies Institute, Kocaeli, Turkey1
Department of Mechatronics Engineering, Graduate School of Science Engineering and Technology, Istanbul Technical University, ITU Ayazaga Campus, Maslak/Istanbul1
Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia1
Department of Aerospace Engineering, Technion—Israel Institute of Technology, Haifa, Israel1
Technion Autonomous Systems Program, Technion—Israel Institute of Technology, Haifa, Israel1
Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Australia1
Department of Systems Engineering and Automation, University of Vigo, Pontevedra, Spain1
University of Science & Technology (UST), Daejeon, Korea1
School of EEE, Nanyang Technological University, Singapore, Singapore1
Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
Systems Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran, KSA1
School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA1
Max Planck Institute for Informatics, Saarbrucken, Germany1
Department of Electrical Engineering, University of California, Riverside, Riverside CA, California 92521 United States1
Art History, University of California, Riverside, Riverside, California United States1
Electrical Engineering, University of California, Riverside, Riverside, California 92521 United States1
Department of Statistics and Operational Research, Faculty of Mathematics, Complutense University of Madrid, Madrid, Spain1
Distributed Infinity, Inc., Larkspur, CO, USA1
University of Colorado Denver, Denver, CO, USA1
MIT World Peace University1
Project Lead Persistent Systems Ltd1
Adobe Systems Inc., San Jose, CA, USA1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
Department of Computer Science and Engineering, Chinese University of Hong Kong, Hongkong, People’s Republic of China1
Department of Statistics, Florida State University, Tallahasse, FL, USA1
Computer Science, University of North Carolina at Charlotte1
Department of Computer Science, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA1
Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan1
Artificial Intelligence Center, University of Oviedo at Gijón, Gijón, Spain1
College of Computer Science and Engineering, Northeastern University, Shenyang, People’s Republic of China1
Department of Psychiatry and Neurosciences, Department of Psychiatry and Neurosciences, University of Missouri Kansas City (UMKC), Kansas City, USA1
Center for Neuropsych Research of Traumatic Stress, Charles University Department of Psychiatry, Prague, Czech Republic1
Department of Psychology,, Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom1
EECS, University of Massachusetts at Lowell, Lowell, MA, USA1
Friedrich Schiller University of Jena, Germany1
EECS, University of California at Berkeley, Berkeley, CA, USA1
Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy1
CSE, Jeppiaar Engineering College, Tamilnadu, India1
CSE-Dept, Sathyabama University, Tamilnadu, India1
University of Wisconsin-Madison, Madison, WI, USA1
LIMSI-CNRS, Orsay Cedex, France1
Brown University, Providence, USA1
Weta Digital, Wellington, New Zealand1
Middlebury College, Middlebury, USA1
Faculty of Information Technology, University of Technology, Sydney, Sydney, Australia. email: hintz@it.uts.edu.au1
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Dept. of Mathematics and Computer Science, University of Udine, Italy1
Department of Computer Science & Engineering, Indian Institute of Technology, Kanpur, India1
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Center for AI & Robotics, DRDO Complex, Bangalore, India1
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Miss Poter's School, Farmington, USA1
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Inspur, Shangdong, China1
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LAPI, University Politehnica of Bucharest, Bucharest, Romania1
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Collaborative Innovation Center of Intelligent New Energy Vehicle, Tongji University, Shanghai, China1
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Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, USA1
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School of Internet of Things, Jiangnan University, Wuxi, People’s Republic of China1
Department of Electrical and Electronics Engineering, Bahcesehir University, Istanbul, Turkey1
Informatics Institute, Faculty of Science, University of Amsterdam. The Netherlands1
Jiangsu University, Chinese Academy of Sciences, Zhenjiang, China1
AMF-319, IŞIK University, Ístanbul, Turkey1
North China Sea Environmental Monitoring Center, State Oceanic Administration1
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School of Digital Media and Design Arts, Beijing University of Posts and Telecommunications, Beijing, China 10008761
Dept. of EC Engineering, LBS Institute of Technology for Women, Poojapura, Trivandrum, Kerala1
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Department of Communication Engineering, Yuan Ze University, Chungli, Taiwan1
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University of Ottawa1
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State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China1
LIASD research Lab., University of Paris 8, Saint-Denis, France1
PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Guelma, Algeria1
Ship Intelligence, Rolls-Royce Marine1
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Korea Institute of Oriental Medicine, Daejeon, South Korea1
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Department of Electrical and Computer Engineering, University of Denver, Denver, USA1
Education Technology and Information Center, Shenzhen Polytechnic, Shenzhen, China1
School of Astronautics, Harbin Institute of Technology, Harbin, China1
School of Computer Science and Technology, Jilin University1
Monash University, Australia1
FotoNation Ltd., Galway, Ireland1
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Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
MediaTek, Inc., Hsinchu, Taiwan1
UBTECH Robotics, Shenzhen, China1
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Department of Electronics and Computer Science, University of Southampton, Southampton, UK1
Intelligent Systems Research Centre, University of Ulster, Londonderry, UK1
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Department of Physics, Tripura University (A Central University), Suryamaninagar, Tripura, India1
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Multimedia Systems Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran1
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Elektronik ve Haberleşme Mühendisliği Bölümü1
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Engineering Research Center of Information Networks, Ministry of Education, Beijing, China1
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School of Civil Engineering, Chongqing University, China1
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Universidad de León, León, Spain1
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Netflix, Los Gatos, CA, USA1
Adobe Systems, San Jose, CA, USA1
Department of Electrical and Electronic Engineering, Shizuoka University, Shizuoka, Japan1
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NTT Data Corporation, Toyosu Center Bldg Annex, 3-3-9, Koto-ku, Tokyo 135-8671, Japan1
Robert Bosch Engineering and Business Solutions Limited, Bangalore, India1
Department of Instrumentation and Control Engineering, PSG College of Technology, Coimbatore, India1
United Technologies Research Center, Cork, Ireland1
Department of Information Security Engineering, Shanghai Jiao Tong University, Shanghai, China1
Department of Mathematics, Jiaying University, Meizhou, China1
Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China1
Dept. of Electronics, Telecommunications and IT, University “Politehnica” of Bucharest, Romania1
Sabaticı Üniversitesi, İstanbul, Türkiye1
Microsoft Research Redmond, Redmond, USA1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, People’s Republic of China1
Department of Multimedia, Sungkyul University, Anyang, Korea1
School of Computer Science, Harbin Institute of Technology, Harbin , China1
Delft University of Technology, EEMCS, Delft, The Netherlands, reinierz@gmail.com1
Imperial College London, Computing Department, London, U.K., m.pantic@imperial.ac.uk1
Korea Electronics Technology Institute, Korea1
Department of Electronic Engineering and Computer Science, The Catholic University of America, Washington, DC, USA1
Dept. of Appl. Electron., Fraunhofer Inst. for Integrated Circuits, Erlangen, Germany1
Faculty of Electrical and Computer Eng., Babol University of Technology, Babol, Iran1
Graduate Program of Multimedia Systems and Intelligent Computing, National Cheng Kung University and Academia Sinica, Tainan, Taiwan1
Computer Vision and Robotic Laboratory, Instituto Superior Técnico, Lisbon, Portugal1
Learning Algorithms and Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne, EPFL-STI-I2S-LASA, Lausanne, Switzerland1
Department of Computer and Information Science, University of Macau, Macau1
College of Transportation and Management, Dalian Maritime University, Dalian 116026, China1
LG Electronics Institute of Technology, Seoul, Korea1
Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China1
Departments of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada1
St. Joseph’s Health Care, London, ON, Canada1
Northumbria University, Newcastle upon Tyne, U.K.1
Down Syndrome Research Foundation, Vancouver, BC, Canada1
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Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, India1
Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada1
Department of Computer Science, Hong Kong Baptist University,1
Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA1
Center for Applied Mathematics, Tianjin University, Tianjin, China1
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Faculty of Applied Mathematics, Shanxi University of Finance and Economics1
Illinois Univ., Urbana, IL, USA1
C-Core, St. John's, Nfld., Canada1
School of Information Technology and Electrical Engineering, the University of Queensland, Brisbane, Qld, Australia1
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu1
University of Electronic Science and Technology of China, Chengdu1
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, People’s Republic of China1
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan1
School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, People’s Republic of China1
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, People’s Republic of China1
IBM Research, Singapore1
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Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China1
Indian Institute of Technology, Mandi, India1
National Institute of Technology, Hamirpur, India1
Institute of High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Naples, Italy1
Department of Electronic and Electrical Engineering, Gaziantep University, Gaziantep, Turkey1
EECS Department, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. guskov@eecs.umich.edu1
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Université Of Bourgogne, France1
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Huawei Research and Development, Santa Clara, CA, USA1
Centro de Ciências do Mar (CCMAR) - Campus de Gambelas, Faro, Portugal1
Instituto Português do Mar e da Atmosfera (IPMA), Divisão de Modelação e Gestão de Recursos da Pesca, Lisbon, Portugal1
Instituto de Telecomunicações, Instituto Superior Técnico, Lisbon, Portugal1
Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia1
Laboratory of Psychopathology and Neuropsychology (LPN, EA2027), Université Paris 8, Saint-Denis 93526 cedex, France1
Department of Electrical Engineering Mathematics and Computer Science, University of Twente, AE Enschede, The Netherlands1
UC San Diego, La Jolla, CA1
Department of Cybernetics, Czech Technical University, Prague, Czech Republic1
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School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Fuzhou, China1
Shenzhen Konka Communication Technology Company, China1
Institute of Molecular Biology and Biophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland1
Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany1
Center for Economics and Neuroscience, University of Bonn, Bonn, Germany1
Laboratory of Neurogenetics, University of Bonn, Bonn, Germany1
Department of Psychology, University of Bonn, Bonn, Germany1
Center for Research in Intelligent Systems, University of California Riverside, Riverside1
Center for Research in Intelligent Systems and the Department of Computer Science, University of California Riverside, Riverside1
Center for Research in Intelligent Systems and the Department of Electrical Engineering, University of California Riverside, Riverside1
Nanyang Technological University, China and Chinese Academy of Sciences, China1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. zqzhuang@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. email: binli@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. alang_yao@mail.ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. chenhong@ustc.edu.cn1
University of Science and Technology of China, MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, Hefei, 230026 Anhui, China. zwcong@mail.ustc.edu.cn1
Blaise Pascal University, France1
University of Sousse, Tunisia, Blaise Pascal University, France1
School of Automation, Beijing University of Posts and Telecommunications, 100876, China1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore, 639798, Singapore1
ENSEEIHT, Toulouse, France1
Florida Atlantic University, Boca Raton, USA1
Dept. of Computer Science, U. of Texas at Austin1
Laboratory of Media Dynamics, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan1
Vision & Sensing Group, HCC Lab, University of Canberra, Australia1
iHCC, Australian National University, Australia1
School of Electrical Engineering and Computer Science, University of Bradford, Bradford, UK1
Nanjing University of Information Science and Technology, China1
Max-Planck-Institute for Informatics, Saarbruecken, Germany1
University of Erlangen-Nuremberg, Erlangen, Germany1
Stanford University, Stanford, United States of America1
Cornell University, New York, NY, USA1
Cornell University & Facebook Inc., New York, NY, USA1
iCV Research Group, Institute of Technology, University of Tartu, 50411, Estonia1
Dept. Mathematics and Informatics, University of Barcelona, Computer Vision Center, Spain1
Institute of Technology, University of Tartu, 50411, Estonia1
Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil1
Emory University School of Medicine, Atlanta, USA1
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA1
Department of Radiology and Imaging Sciences, Winship Cancer Institute, Emory University School of Medicine, Atlanta, USA1
Amazon.com Cambridge, MA, USA1
Dept. of EMPH, Icahn School of Medicine at Mount Sinai, New York, NY 100291
Dept. of ENME College Park, University of Maryland, College Park, MD, 207421
Center of Network and Computation, Huazhong University of Science and Technology, Wuhan, China1
School of Computer and Information, Anqing Normal University, Anqing, China1
School of Computer Science and Engineering, Beihang University, 100091, Beijing, China1
Department of Computer Science and Engineering, Southeast University, Nanjing, China1
School of Mathematics and Statics, WuHan University, HuBei, China1
Digital Western1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia; Institute of Management of Technology, National Chiao-Tung University, Taiwan. e-mail: debbiechu@itri.org.tw1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia1
Business Systems and Knowledge Modeling Laboratory, La Trobe University, Melbourne, Victoria 3086, Australia. Fax: +61-3-94795971, Email: r.khosla@latrobe.edu.au1
Cooperative Medianet Innovation Center, Shanghai, China1
School of Engineering, University of Warwick, Coventry, UK1
Shenyang Institute of Automation, Chinese Academy of Sciences, Key Laboratory of Opto-Electronic Information Processing, CAS. Key Laboratory of Image Understanding and Computer Vision, Shenyang, China1
Nauto Inc., 380 Portage Ave., Palo Alto, CA 94306, USA1
Vienna University of Technology, Vienna, Austria1
St. Pölten Univ. of Applied Sciences, St. Pölten, Austria1
University of Vienna & Vienna University of Technology, Vienna, Austria1
Department of Computer Science, Northumbria University, Newcastle, UK1
Scientific Initiation Program State University of Maringá, Avenida Colombo, 5790, Maringá - Paraná - Brasil1
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NextGen Interactions, Raleigh, USA1
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Labri, University of Bordeaux, France1
National Laboratory of Pattern Recognition at Institute of Automation, Chinese Academy of Sciences, Haidian, Beijing, China1
National Technical University of Athens/ University of the Aegean, Athens, Greece1
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Shanghai Maritime University, Shanghai, China1
Machine Intelligence Research Institute, Rockville, USA1
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PCCOE Information Technology Department PCCOE, Pune, India1
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State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, Liaoning 110004, China1
Computer Vision and Robotics Research, University of California, San Diego, La Jolla, California 92093-04341
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Institute of Creative Technologies, University of Southern California, Los Angeles, California, 900941
City University of Macau, Xian Xing Hai, Macau1
Zhuhai Da Hengqin Science and Technology Development Co.,Ltd, Zhuhai, China1
Information Processing and Telecommunications Laboratory, Computer Science Department, Faculty of Science and Technology, Sultan Moulay Slimane University, Mghila, Beni Mellal, Morocco1
SAIIP, School of Computer Science, Northwestern Polytechnical University, Xi’an, China1
Department of Electrical and Computer Engineering, Duke University, USA1
Psychology Department at California State University, Fullerton, California, US1
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Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Aachen, Germany1
Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Aachen, Germany1
Key Laboratory of Big Data Intelligent Computing of Zhejiang Province, Innovation Joint Research Center for ICPS, College of Computer Science and Technology, Zhejiang University, Hangzhou, China1
Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada1
University of Applied Sciences of Western Switzerland, Fribourg, Switzerland1
University of Applied Sciences of Western Switzerland - Fribourg, Fribourg, Switzerland1
College of Mechanical and Electrical, Changzhou Textile Garment Institute, Changzhou, China1
Institute of Control and Computation Engineering, Warsaw, Poland1
Industrial Research Institute for Automation and Measurements, Warsaw, Poland1
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Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China1
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CEDAR, Buffalo, USA1
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Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-1816. alexander.loui@kodak.com1
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Stanford University, USA1
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Massachusetts Institute of Technology, CSAIL, Cambridge, Massachusetts1
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LaBRI, University of Bordeaux, Talence, France1
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Robrt Bosch Center for Cyber physical Systems of Indian, Institute of Science Bangalore1
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State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, 210096, Nanjing, Jiangsu, China1
School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, China1
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Digital Imaging Research Centre, Kingston University, Kingston upon Thames, U.K.1
Digital Imaging Research Centre, Kingston University, Kingston upon Thames , U.K.1
National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore1
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University of Manouba, Republic of Tunisia1
University of South Wales, UK1
Lawrence Berkeley National Laboratory1
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Khalifa University, Abu Dhabi, United Arab Emirates1
University of Bristol, Bristol, UK1
Sookmyung Women’s University, Seoul, Republic of Korea1
National Institute of Technology, Durgapur, India1
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Haldia Institute of Technology, Haldia, India1
Department of Computer Science & Engineering, Mary Matha College of Engineering & Technology, Paliyodu, Neyattrinkara, Trivandrum District, Kerala, India1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece E-mail: dralbert@zeus.csd.auth.gr1
Univ. La Rochelle, La Rochelle, France1
The Second Hospital of Nanjing, Nanjing, China1
University of Applied Sciences Berlin (HTW), Berlin, Germany1
Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia1
School of Computer Science and Engineering, South China University of Technology, Panyu District, Guangzhou City, China1
University of Nottingham, United Kingdom1
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University of Pittsburgh, Department of Psychiatry, 3811 O’Hara St., WPIC—Loeffler 319, Pittsburgh, PA 15213, United States1
Antal Bejczy Center for Intelligent Robotics Óbuda University1
School of Computing, Media and the Arts, Teesside University, Middlesbrough, UK1
IM&T Operations Assistant NEP Shared System Group, Northumbria Healthcare NHS, Stokesley, UK1
Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Taiwan1
Centre for Innovation in IT Services and Applications (iNEXT), University of Technology, Sydney, Australia1
Video Surveillance Laboratory, Guizhou University for Nationalities, Guiyang, China1
College of Arts and Sciences, Shanxi Agricultural University, Shanxi, China1
CAAC Academy of Flight Technology and Safety, Civil Aviation Flight University of China, Guanghan, China1
Intelligent Vehicles & CognitiveRobotics Group, Technical University Delft, The Netherlands1
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA1
Research Division, Anyvision, Belfast, U.K.1
ISSS, Heriot-Watt University, Edinburgh, U.K.1
Centre for Intelligent Systems Research, Deakin University, Geelong, VIC, Australia1
Faculty of Engineering, Technology, and Built Environment, UCSI University, Kuala Lumpur, Malaysia1
Reference Centre on Interactive Television, Aragon Institute of Technology, Spain1
Hefei University of Technology, Hefei Shi, China1
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Electrical and Computer department, Azad University of Qazvin, Qazvin, Iran1
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Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan1
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Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France1
Guangxi Normal University, Guilin, China1
Facultad Informatica, Universidad Politecnica de Madrid, Boadilla del Monte (Madrid), Spain. lbaumela@fi.upm.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. pjimenez@depeca.uah.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. jnuevo@depeca.uah.es1
Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, Móstoles (Madrid), Spain. josemiguel.buenaposada@urjc.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. bergasa@depeca.uah.es1
School of Computer Science, Shaanxi Normal University, Xi’an, China1
Engineering Laboratory of Teaching Information Technology of Shaanxi Province, Xi’an, China1
Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi’an, China1
Dept. of Comput. Sci., Harbin Inst. of Technol., China1
Rutgers University, 94 Brett Road, Piscataway, NJ 08854, United States of America1
Tsuruoka National College of Technology, Tsuruoka, Yamagata, Japan 997-85111
Kurume National College of Technology, Fukuoka, Japan 835-85551
Faculty of Information Technology, Thai-Nichi Institute of Technology, Bangkok, Thailand 102501
Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan1
Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan1
Yunnan University, Kunming, Yunnan, China and Chuxiong Normal University, Chuxiong, Yunnan, China1
Institutes of Innovation for Future Society, Nagoya University, Japan1
Information Strategy Office, Nagoya University, Japan1
Idiap Research Institute, Martigny, Ecole Polytechnique Fédérale de Lausanne, Switzerland1
The University of Manchester, Manchester, Lancashire, United Kingdom1
MIRACL-Faculty of Sciences, Sfax University, Sfax, Tunisia1
MIRACL-Faculty of Economics and Management, Sfax University, Sfax, Tunisia1
Center for Quantum Computation and Intelligent System, Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales 2007, Australia1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, China1
College of Communication Engineering, Chongqing University, 400044, China1
Department of Electrical and Electronic Engineering, Auckland University of Technology , Auckland, New Zealand1
Department of Computer Engineering, Qazvin Islamic Azad University , Qazvin, Iran1
Department of Computer Science and Engineering, University of North Texas, Denton, TX, USA1
Faculty of Electrical Engineering and Information Technology, Technische Universität München, 85290, Germany1
Nokia Research, Palo Alto, CA1
School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, 15213, USA1
Dept. of Computer Science, Purdue University, West Lafayette, IN, 47907, USA1
Department of Computer Science & Engineering, P A College of Engineering, Mangalore, India1
School of Mathematics, Jilin University, China1
Department of Computer Science, Memorial University of Newfoundland, Canada1
Vision Semantics Ltd1
Griffith University, Brisbane1
Griffith University, Brisbane and University of the South Pacific, Fiji1
Department of Nuclear Engineering, University of California, Berkeley, USA1
Department of Computer Science, University of California, Berkeley, USA1
Department of Computer Science and LIASD research Laboratory, University of Paris 8, Saint-Denis, France1
Vocational School of Teachers and Technology, Jiangxi Agricultural University, Nanchang, China1
School of Mathematics and Computer Science, Jiangxi Science and Technology Normal University, Nanchang, China1
College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China1
Dept. of Electrical Engineering & Computer Science, Ningbo University, Ningbo, P. R. China1
Intel Israel, Haifa, Israel1
Microsoft Corporation, Redmond, WA1
Mechanical Engineering, Kettering University, Flint, Michigan, U.S.A.1
Electrical & Computer Engineering, Kettering University, Flint, Michigan, U.S.A.1
Department of Electrical and Computer Engineering, Curtin University, Miri Sarawak, Malaysia1
Information Security Group, City University London, London, UK1
Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia1
Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia1
School of Physics and Electronic Information Engineering, Wenzhou University, Wenzhou, China1
IIIT Chittoor, SriCity, Andhra Pradesh, India1
Ecole Centrale Paris & INRIA Saclay, France1
School of Information Engineering, Tianjin University of Commerce, Tianjin, China1
JD.com, Beijng, China1
State Key Laboratory of Information Security, Institute of Information Engineering, CAS, Beijing, China1
College Of Medicine Pediatrics, University of South Florida, Tampa, 33620, United States of America1
Electrical Engineering Department Sharif University of Technology Tehran, Iran1
Laboratoire d’Imagerie, de Vision, et d’Intelligence Artificielle, École de Technologie Supérieure, Université du Québec, Montreal, Canada1
The School of Computer Science and Engineering Beihang University, Beijing Key Laboratory of Digital Media, Bejing, China1
Department of Electrical and Electronic Engineering, Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey1
Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey1
School of Computer Science, Carnegie Mellon University (USA)1
ARM, Inc., San Jose, CA1
UMR CNRS 5205, INSA-Lyon, LIRIS, Université de Lyon, CNRS, Lyon, France1
Department of Electrical-Electronics Engineering, Boğaziçi University, Istanbul, Turkey1
INRIA - WILLOW Project1
Department of Embedded Systems Engineering, Incheon National University, Incheon, South Korea1
School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India1
Department of Korean Language Education, Incheon National University, Incheon, South Korea1
School of Electrical Engineering and Information, University of Sichuan, Chengdu, China1
College of Computer and Information Science, Northeastern University, Boston, MA, USA1
College of Computer Science, Sichuan Normal University, Sichuan, China1
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China1
CIDIS - FIEC, Escuela Superior Politecnica del Litoral. Guayaquil, Ecuador1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak, Tapah, Malaysia1
ARCAA, Queensland University of Technology, Brisbane, Australia1
Department of Computer Engineering, Taif University, Taif, KSA1
Department of Electrical and Computer Engineering, University of Dayton, Dayton, Oh, USA1
Department of Physics and Computer Science, Pacific Lutheran University, Tacoma, WA, USA1
Dept. Physics, Montana State University, Bozeman, MT 59717, USA1
NTIS - New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
Laboratorio de NeuroCognición, Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, Mexico1
Interdisciplinary Graduate School, Rapid-Rich Object Search Laboratory, Nanyang Technological University, Singapore1
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China1
Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China1
Department of Electrical and Computer Engineering, Wayne State University, Detroit, USA1
Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan1
Statistics, Colorado State University, Fort Collins, USA1
Information Access Division, NIST, Gaithersburg, MD, USA1
Department of Federal Police - Brasilia - Brazil1
School of Computer Science and Engineering, Beihang University, 100191, Beijing, China1
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China1
Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA1
Industry Centre, Shenzhen polytechnic, Shenzhen, China1
Dept. of Communication Engineering, Communication University of China, Beijing, China, 1000241
School of Mathematics and Computer Sciences, Gannan Normal University, Ganzhou, China1
Dept. of Electronics and Communications Engineering, R. J. I. T. Takenpur, Gwalior-4750051
Department of Electrical and Computer Engineering, Brunel University London, UB8 3PH, UK1
Department of Applied Mathematics and Analysis, Universitat de Barcelona, Barcelona, Spain1
Motorola Human Interface Labs, Tempe, Arizona 85284, USA1
GRAM, University of Alcalá, Alcalá de Henares, Spain1
Texas A & M University at Qatar, Doha, Qatar1
Department of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan. Email: komatsu@kom.comm.waseda.ac.jp1
NTT Data Corporation, Kayabacho Tower, 1-21-2 Shinkawa, Chuo-ku, Tokyo 104-0033, Japan. Email: sakanoh@nttdata.co.jp1
Department of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan. Email: ichino@kom.comm.waseda.ac.jp1
Advanced Technologies Application Center (CENATAV), 7a # 21812 b/218 and 222, Siboney, Playa, Havana, Cuba1
Key Laboratory of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Tencent1
Dalian Maritime University, Dalian, China1
Nanocomputing Research Lab, Rochester Institute of Technology, Rochester, NY, USA1
Bioinspired Microelectronics Systems Lab, School of Engineering, Nazarbayev University, Astana, Akmola, Kazakhstan1
Department of Electrical Engineering, IIT, Roorkee, India1
Electrical and Information Engineering, University of Sydney, Sydney, 2006 New South Wales, Australia1
Air Force Research Lab, Rome, NY, 13441, USA1
Measurement, Control and Mircotechnology , University of Ulm, Ulm, 89075 Germany, Germany1
Active and passive safety vehicle system development, Continental Safety Engineering International GmbH, Alzenau, Bayern, Germany1
Computer Science, Friedrich-Alexander Universitat Erlangen-Nurnberg, Erlangen, Germany, Germany1
Department of Electronic Engineering, Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai, China1
University of Petroleum and Energy Studies, Dehradun, India1
The State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079, China1
Institut Telecom, Telecom Paris, LTCI, France1
ITeam, Universitat Politècnica de València, Valencia, Spain1
Microsoft Research Asia, Beijing, 100080, P. R. China1
The University of Auckland, Auckland Bioengineering Institute, Auckland, New Zealand1
Private Practice, Auckland, New Zealand1
Formerly Repatriation General Hospital Concord, Sydney, Australia1
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy1
CONICET, SINC(i)-FICH-UNL, Ciudad Universitaria, Santa Fe, Argentina1
CONICET, CIDISI-UTN-FRSF, Santa Fe, Argentina1
Department of Computer Engineering, Eastern Mediterranean University, Gazimağusa, Northern Cyprus1
TTI Chicago1
ICSI, UC Berkeley1
Department of Electrical Engineering, Yazd University, Iran1
Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan1
University Blaise Pascal, Aubière, France1
School of Media and Communication, University of Leeds, Leeds, UK1
Center for Behavior Imaging, School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA1
iRobot Corporation, Bedford, MA, USA1
Department of Computer Science and Engineering, Toyohashi University of Technology, Aichi 441-8580, Japan1
Department of Computer Science, School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan1
Department of Fundamental Science and Technology, Graduate School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, Japan1
Institute for Neural Computation University of California, San Diego1
Max Planck Institute for Intelligent Systems in Tübingen, Germany1
Rapid-Rich Object Search Laboratory, Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. jhkim@yonsei.ac.kr1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. jychoi@yonsei.ac.kr1
Biometrics Engineering Research Center (BERC), School of Electrical and Electronic Engineering, Yonsei University, Republic of Korea. myjeong@yonsei.ac.kr1
Science and Technology on Electro-optic Control Laboratory, Luoyang,471009,China1
Faculty of Engineering, Tunku Abdul Rahman University College, Setapak, Malaysia1
Faculty of Computing and Information Technology, Setapak, Malaysia1
University of Brunei Darussalam, Faculty of Science, Brunei Darussalam1
Graduate School of Information Science and Technology The University of Tokyo, Tokyo, Japan1
Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland1
Department of Computer Science, Kuwait University, Safat, Kuwait1
Shanghai University, Shanghai, China1
IEMN DOAE UMR CNRS 8520 Laboratory, Polytechnic University of Hauts-de-France, Famars, France1
Laboratory of LGEB, University of Biskra, Biskra, Algeria1
Laboratory of LESIA, University of Biskra, Biskra, Algeria1
Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute Wako-shi, Saitama, 351-0198, Japan1
Xi'an University of Science and Technology, Xi'an, China1
Xi'an Polytechnic University, Xi'an, China1
Bahirdar Institute of Technology, Bahir Dar, Ethiopia1
Department of Electrical Engineering, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
Pearl Special Needs Foundation, Ahmedabad, Gujarat, India-3800071
Centre for Cognitive Science, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK1
Computer Science Department, University of Maryland, College Park, MD, USA1
Cernium Corporation, Reston, VA, USA1
Computer Science Department, University of California, Los Angeles, CA, USA1
Southwest Research Institute, San Antonio, USA1
Department of Information Engineering, University of Padova, Padova, Italy1
School of Information Technology, Deakin University, Burwood, Australia1
Dep. Inteligencia Artificial, U. Politécnica Madrid, Spain1
Dep. Ciencias de la Computación, U. Rey Juan Carlos, Spain1
Dep. Comp. Sci. and Engr., Fudan University, China1
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea. jjeong@ece.hanyang.ac.kr, windcap315@ece.hanyang.ac.kr1
Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea. windcap315@ece.hanyang.ac.kr1
Department of Information Technology, University of Milan, Italy. Damiani@dti.unimi.it1
Department of Information Technology, University of Milan, Italy. Bellandi@dti.unimi.it1
Department of Information Technology, University of Milan, Italy. Anisetti@dti.unimi.it1
School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China1
Singapore Bioimaging Consortium, A*STAR, Singapore, Singapore1
Department of Automation, State Key Laboratory of Intelligent Technologies and Systems and Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing, China1
MOE-Microsoft Laboratory for Intelligent Computing and Intelligent Systems, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China1
QUVA Lab, Qualcomm Research, University of Amsterdam, Amsterdam, WX, The Netherlands1
University of Amsterdam, Amsterdam, WX, The Netherlands1
QUVA Lab, University of Amsterdam, Amsterdam, WX, The Netherlands1
Centre de Developpement des Technologies Avancees, Algeria1
Center For Machine Vision and Signal Analysis, University of Oulu, Finland1
Department of Information Science and Technology, Northwest University, Xi'an, China1
School of Computer Science and Electronic Engineering, University of Essex, United Kingdom1
Concordia University, Montreal, H3G 1M8, Canada1
Department of Electronic Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong, China1
Changshu Institute of Science and Technology, China, Soochow University, China, and Beijing Jiaotong University, Beijing, China1
Soochow University, China, Jilin University, China, and Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China1
Soochow University, China and Suzhou Institute of Trade and Commerce, Suzhou, China1
American University of Science & Technology, Department of Mechatronics Engineering, Faculty of Engineering, Beirut, Lebanon1
Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain1
Center for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Singapore1
Laboratory of Media Audio & Video, Communication University of China, Beijing, China1
Department of Computer Engineering, College of Computer & Information Sciences, King Saud University, Riyadh, Saudi Arabia1
School of Electro-Mechanical Engineering, Xidian University, Xi’an, China1
School of Electrical Engineering, Yanshan University, Qinhuangdao, China1
Center for Intelligent Machines, McGill University, Montreal, Canada1
Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, Nanjing, China1
Faculty of information and engineering institute, Yangzhou University, Yangzhou, People’s Republic of China1
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, People’s Republic of China1
ECE, Department MSIT, C-4 Janakpuri, New Delhi, India1
FSU, Tallahassee, Tallahassee, FL, USA1
LIFL University of Lille 1, Lille, France1
Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany1
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, ˙Istanbul, Türkiye1
Department of Electrical Engineering & Computer Sciences, UC Berkeley1
Insititute of Information Science, Academia Sinica, Taipei, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University, National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan1
Data and Knowledge Engineering Laboratory, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand1
Center for OPTical IMagery Analysis and Learning and Xi'an Institute of Optics and Precision Mechanics, Xi'an, China1
FEECS, Department of Computer Science, Technical University of Ostrava, Ostrava-Poruba, Czech Republic1
Deanship of E-learning and Distance Education, Umm AL-Qura University, Mecca, Saudi Arabia1
Department of Computer Science and Information, Institute of Statistical Studies and Research, Cairo University, Cairo, Egypt1
Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Dept of Electrical Engineering and Computer Engineering, Université de Sherbrooke, Quebec, Canada1
Faculty of Computer Science, University of Hertfordshire, Hatfield, U.K.1
Faculty of Computer Science, Bishop's University, Sherbrooke, Québec, Canada1
Key Laboratory of Intelligent Information Processing, Shandong Normal University, Jinan, China1
School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, People’s Republic of China1
School of Computer Science, Chongqing University, Chongqing, China1
Institute of Life Sciences, Shandong Normal University, Jinan, China1
Research Institute for Future Media Computing, Shenzhen University, Shenzhen, China1
University of Trento, Povo - Trento, Italy1
Czech Technical University, Prague 2, Czech Republic1
RWTH Aachen, Aachen, Germany1
Software College, Northeastern University, Shenyang 110819, China1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan. e-mail: chihming.fu@gmail.com1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan; Informatics Department, Fo-Guang University, I-Lan, Taiwan. e-mail: clhuang@ee.nthu.edu.tw1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan1
School of Electrical and Information Engineering, University of Sydney, Sydney, Australia1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore1
Departments of Neurosurgery, Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, USA1
School of Aerospace Science and Technology, Xidian University, Xi’an, China1
School of Information Science and Technology, Fudan University, Shanghai, China1
Jingdezhen Ceramic Institute, Jingdezhen, China1
Facial Nerve Center, University Hospital Jena, Jena, Germany1
Department of Otorhinolaryngology, University Hospital Jena, Jena, Germany1
Department of Computer Science, Friedrich Schiller University, Jena, Germany1
University of Hawaii at Hilo, Hilo, HI1
Environmental Lab, US Army Engineer Research and Development Center, Vicksburg, MS, USA1
University of Tehran, Department of Management and Accounting, University of Tehran, Tehran, Iran1
Shahid Beheshti University, Computer Engineering Department, Shahid Beheshti University, Tehran, Iran1
University of Massachusetts, Dartmouth, MA, USA1
Northeastern University, Salisbury, MA, USA1
Statistics, University of California, Los Angeles, USA1
Department of Electrical Engineering and Information Technology, TU Darmstadt, D-64283, Germany1
Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, AP, India, 5180011
KLA-Tencor Software India Private Limited, Chennai, India 6000961
Signal Processing Laboratory (LTS4) EPFL-FSTI-IEL-LTS4, Lausanne1
Technicolor, IRISA, University of Rennes 1, Rennes, France1
Department of Electrical and Electronic Engineering, University of Imperial College, London, UK1
VISILAB group, University of Castilla-La Mancha, Ciudad Real, Spain1
Computer Engineering Department, Yildiz Technical University, Istanbul, TR1
Electric and Electronic Engineering Department, Bosphorus University, Istanbul, TR1
Computer Engineering Department, Istanbul Bilgi University, Dolapdere, TR1
National Engineering Research Center for Multimedia Software, Wuhan University, Hubei, China1
Dept. of Marine Engineering, Tokyo University of Marine Science and Technology, Japan1
Key Lab of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China, Hefei, People’s Republic of China1
Elektrik - Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs1
Department of Computer Science, George Mason University, Fairfax, VA1
Department of Medicine, University of Massachusetts Medical School, Worcester, MA1
University of St Andrews, St Andrews, UK1
Department of Photogrammetry and Remote Sensing, K.N. Toosi University of Technology, Tehran, Iran1
Tianjin Sharpnow Technology Co. Ltd., China1
Electrical Engineering Department, COMSATS Institute of Information Technology, Islamabad, Pakistan1
Department of Information and Communication Technology, F. M. University, Balasore, India1
School of Computer Engineering, KIIT University, Bhubaneswar, India1
Department of Computer, Luo Yang Institute of Science and Technology, 471023, Henan, China1
Library of Xuchang University, Xuchang University, 461000, Henan, China1
Information Engineering College, Central University for Nationalities, Beijing, 100081, China1
Hanyang University, Seoul, Rebublic of Korea1
The University of Western Australia, Crawley, Australia1
Curtin University, Perth, Australia1
Dept. of Computer Science, Hong Kong Baptist University, Hong Kong1
ELVEES NeoTek, JSC, Zelenograd, Russia1
Research and Development Center «ELVEES», Zelenograd, Russia1
Pontifical Catholic Univ of Rio de Janei, Department of Informatics, Rio de Janeiro, Brazil1
Department of Informatics, Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil1
School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia1
Beijing Etrol Technologies Co., Ltd., Beijing, China1
MOEKLINNS Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Fortiss GmbH, affiliated institute of Technische Universität München, Munich, Germany1
SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China1
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA1
Department of Computer and Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL1
Department of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia1
Computer Science Dept., Stevens Institute of Technology, Hoboken, NJ 070301
University of the Basque Country (UPV/EHU), Leioa, Spain1
Signal Theory and Communications Department (DTSC), Carlos III University of Madrid (UC3M), Getafe, Spain1
Fraunhofer Institute for Computer Graphics Research, Technology University of Darmstadt, Darmstadt, Germany1
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China1
Signal Theory Department, Polytechnic School, University of Madrid, Spain1
Computer Engineering, University of Alcala, Alcalá de Henares, 28806 Madrid, Spain1
Computer Engineering Department, University of Alcala, Alcala de Henares, 28805 Madrid, Spain1
Machine Vision Group, Dept. of Electrical and Information Engineering, University of Oulu, Oulu, Finland1
Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland1
Mellon College of Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA1
School of Electrical and Electronics Engineering, Nanyang Technological University 639798, Singapore1
Intelligent Technology and Robotics Research Center, Beihang University, Beijing, China1
University of Surrey, Guildford, Surrey, GU2 7XH, UK1
Research and Development Department, AnKe Smart City Technology Company Ltd., Shenzhen, China1
College of Computer Science, Inner Mongolia University, Inner Mongolia, China1
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore1
Institute of Automation Center for Biometrics and Security Resea, Chinese Academy of Sciences, Beijing, China1
University of Southampton, United Kingdom1
Faculty of Electronics and Telecommunications “POLITEHNICA” University from Timişoara Timişoara, România1
University of Surrey Guildford, UK1
Institute of Education, Xiamen University, Xiamen Shi, China1
College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China1
Department of Physics and Technology, University of Norway, P.O. Box 114 Blindern, NO-0314, TromsØ, Norway1
School of Communication and Design, Sun Yat-sen University, Guangzhou, China1
National Engineering Research Center of Digital Life, School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: ysmoon@cse.cuhk.edu.hk1
Member, IEEE, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: jschen@cse.cuhk.edu.hk1
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong. e-mail: kwcheung@cse.cuhk.edu.hk1
King Saud University, Riyadh, Saudi Arabia1
The Graduate Center, City University of New York, New York, NY, USA1
Pattern Recognition and Multi-modal brain imaging, University of Electronic Science and Technology of China, Chengdu, China1
Akita University, Akita, Japan1
Department of Machine Intelligence and Systems Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, Akita, Japan1
National Institute of Technology Goa, Ponda, India1
VIGpro Laboratory, The University of Kitakyushu, Japan1
Computer Science and Engineering, Wuhan University of Technology, China1
Electrical and Computer Engineering, Mississippi State University, USA1
Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden1
Information Strategy Office, Nagoya University, Nagoya, Aichi, Japan1
Institutes of Innovation for Future Society (MIRAI), Nagoya University, Nagoya, Aichi, Japan1
Gwangju Institute of Science and Technology, Buk-gu, South Korea1
Georgia Institute of Technology, Center for Behavioral Imaging and College of Computing, Atlanta, GA, USA1
Georgia Institute of Technology, Center for Behavioral Imaging and School of Electrical and Computer Engineering, Atlanta, GA, USA1
University of Regina, Regina, Canada1
Centers of Excellence in Science and Applied Technologies, Islamabad, Pakistan1
The Hebrew University1
Academic College of Tel-Aviv-Yaffo1
University of KwaZulu-Natal, School of Maths, Statistics & Computer Science, Durban - South Africa1
Sudan University of Science and Technology, College of Computer Science and Information Technology, Khartoum - Sudan1
College of Communication Engineering, Jilin University, Changchun, P.R. China1
Department of ECE, University of California, Riverside, CA, USA1
Department of CSE, University of California, Riverside, CA, USA1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil, 31270-9011
University of British Columbia1
Bundesdruckerei GmbH, Berlin, Germany1
Otto-von-Guericke, University of Magdeburg, Magdeburg, Germany1
EMMi - Entertainment and Media Management Lab., Department of Business Information Management and Logistics, Tampere University of Technology (TUT), Tampere, Finland1
Queensland University of Technolgy, Australia1
Division of Electronics Engineering, Chonbuk National University, Jeonju, South Korea1
IT Convergence Research Center, Chonbuk National University, Jeonju, South Korea1
Department of Multimedia Engineering, Mokpo National University, Jeonnam, South Korea1
Department of Electronics Engineering, Chonbuk National University, Jeonju, South Korea1
Technical University of Eindhoven, Eindhoven, Netherlands1
School of Engineering of UABC, University of Baja California, Tijuana, Mexico1
Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin, China1
National Institute of Informatics, Japan & University of Tokyo, Tokyo, Japan1
Hong Kong Baptist University, China, Hongkong, China1
Huazhong University of Science of Technology, China, Wuhan, China1
School of Software, Shenyang University of Technology, Shenyang, China1
Chongqing Vocational Institute of Engineering, Chongqing, China1
no.1 tanhu 2nd road, canglong island, jiangxia district, Wuhan, China1
Microsoft Bing, Sunnyvale1
University of Science and Technology of China, China1
Institute for Digital Media, Peking University, Beijing, China1
National Engineering Research Center for Multimedia Software, School of Computer, Wuhan University, Wuhan, People’s Republic of China1
Umm al Qura University & University of Grenoble Alpes, Makkah, Saudi Arabia1
Umm al Qura University & Universiti Sains Malaysia, Makkah, Saudi Arabia1
Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain1
Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan, R.O.C.1
Department of Electrical and Electronic Engineering, Nazarbayev University, Astana, Kazakhstan1
Department of Internal Medicine, Chung-Ang University, Seoul, South Korea1
Department of Data Science, Dankook University, Yongin, South Korea1
The University of Haifa, Haifa, Israel1
University of Haifa, Haifa, Israel1
Department of Psychology, Pennsylvania State University, University Park, PA, USA1
Foundation for Research & Technology – Hellas, Heraklion, Crete, Greece1
Vrije Universiteit Amsterdam, Amsterdam, The Netherlands1
Ruhr-Universität Bochum, Bochum, Germany1
National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University, Shenzhen, China1
Department of Computer Engineering, College of Applied Computer Science, King Saud University, Riyadh, Saudi Arabia1
Sapienza Università di Roma, via Salaria 113, 00198, Italy1
LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France1
Faculty of Engineering, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia1
LED-IT Fusion Technology Research Center and Dept. of Electronic Engineering Yeungnam University, 214-1 Dae-dong Gyeongsan-si Gyeongsangbuk-do, Korea1
School of Information Science and Engineering, Yunnan University, Kunming, China 6500001
HIK VISION, Hangzhou, China 3100271
College of Computer Science, Hangdian University, Hangzhou, China 3100271
Department of Information Engineering and Mathematics - University of Siena - Siena, Italy1
Department of Information Engineering - University of Florence - Florence, Italy1
E. U. Politecnica, Universidad de Castilla-La Mancha, Cuenca, Spain1
Science and Technology Unit, Umm Al-Qura University, Makkah Saudi Arabia1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Darul Ridzuan, Malaysia1
School of Mathematics Science, Liaocheng University, Liaocheng, China1
Industrial Technology Research Institute, Hsinchu, Taiwan1
Garmin Corporation, New Taipei, Taiwan1
Department of Neurosurgery, Rennes University Hospital, Rennes, France1
Faculty of Electrical & Electronics Engineering, Shijiazhuang Vocational Technology Institute, 050081, China1
Victoria University of Technology, Australia1
MIT Media Laboratory, Cambridge, MA, USA1
Keio University, Fujisawa Kanagawa, Japan1
Oregon State University, Corvallis, Oregon1
Advanced Engineering Department, DELPHI Automotive1
School of Engineering Science, University of Science and Technology of China, Hefei, China1
Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Modena, Modena, Italy1
University of California, David, USA1
University of Pennsylvania, Philadelphia, USA1
Visvesvaraya National Institute of Technology, Nagpur, India1
Toyohashi University of Technology, Toyohashi, Japan1
Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France1
Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France1
TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy1
Electrical and Computer Engineering Department, Stevens Institute of Technology, Hoboken, NJ, USA1
Bell Laboratories Research, Murray Hill, NJ, USA1
SCSE, VIT University (Chennai Campus), Chennai, India1
Rajalakshmi Engineering college and Research Scholar, VIT university1
Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway1
Institute of Psychology, Heidelberg University, Heidelberg, Germany1
Research School of Computer Science, The Australian National University, Canberra, ACT, Australia1
Center of Research and Development, SenseNets Corporation, Shenzhen, China1
Department of Computer Science, City University of Hong Kong Kowloon, Hong Kong, China1
Kamaraj College Thoothukudi, Tamil Nadu, India1
Sathyabama University, Jeppiar Nagar, Chennai, Tamil Nadu, India1
School of Computer Science and Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China1
Microsoft Research, One Microsoft Way, Redmond, WA1
Media Analytics Department, NEC Laboratories America, Cupertino, CA, USA1
ECE, University of Missouri, Snapchat, Columbia, United States1
School of Electronic Engineering and Computer Science, Peking University, Beijing, P. R. China1
Department of Mathematics, Eastern University, Sri Lanka1
Department of Informatics, King’s College London, Strand, London, UK1
Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, People’s Republic of China1
School of Communication Engineering, Nanjing Institute of Technology, Nanjing, People’s Republic of China1
Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, People’s Republic of China1
Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China1
Department of Computing, Biometrics Research Centre, The Hong Kong Polytechnic University, Hong Kong1
Automotive IT Platform Research Team, ETRI, Daegu, South Korea1
Department of Computer Engineering, SunMoon University, Asan, South Korea1
University of Bremen1
DeePhi1
Stanford University and DeePhi1
The Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Ontario, M5S 3GA, Canada1
Howard T. Odum Center for Wetlands, University of Florida, Gainesville, USA1
Ecosurv Environmental Consultants, Maun, Botswana1
Climate Systems Analysis Group, University of Cape Town, Rondebosch, South Africa1
University of Botswana Okavango Research Institute, Maun, Botswana1
Department of Biology, California State University Northridge1
Institute of Statistics Science, Huazhong Agricultural University, Wuhan, China1
School of Mathematics, Sun Yat-sen University, Guangzhou, China1
College of Science, Huazhong Agricultural University, Wuhan, China1
Department of Computer Science, Faculty of Science, Minia University, El-Minia, Egypt1
University of Texas, Texas, USA1
Universitat de Barcelona & Computer Vision Center, Barcelona, Spain1
Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain1
Universitat Autonoma de Barcelona & Computer Vision Center, Barcelona, Spain1
University of Barcelona & Computer Vision Center, Barcelona, Spain1
Institut für Informatik VI, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany1
College of Computer, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China1
Dept. of Comput. Sci., Huaqiao Univ., Quanzhou, China1
Center for Imaging Science, Department of Biomed-ical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
Computer Science, SUNY Stony Brook, Stony Brook, United States1
Rutgers University, USA1
Vision Semantics Ltd, UK1
UMass Lowell-MA, USA1
Daimler A.G, Boeblingen, Germany1
Auckland University of Technology, Auckland, New Zealand1
Department of Computer Science, Periyar University, Salem, India1
Department of Computer Science, Pontificia Universidad Catolica de Chile1
Department of Electronic Engineering, National Taipei University of Technology, Taiwan1
Mitsubishi Electr. Res. Lab., Cambridge, MA, USA1
Oakland University, Rochester, MI1
Brunel University, UK1
School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China1
National Laboratory of Radar Signal Processing, Xidian University, Xi’an, China1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, WA, Australia1
School of Engineering and Information Technology, Murdoch University, Murdoch, WA, Australia1
Elektrik-Elektronik Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Bilgisayar Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Department of Mechanical Engineering, PurdueSchool of Engineering and Technology, IUPUI, USA1
Biomedical Signal Processing Laboratory, National Electronics and Computer Technology Center, Pathumthani, Thailand1
Elektrik-Elektronik Mühendisliği, Bölümü Gazi Üniversitesi, Ankara, Türkiye1
Bilgisayar Mühendisliği, Ahmet Yesevi Üniversitesi, Ankara, Türkiye1
Renai College of Tianjin University, Tianjin, China1
Institute for Infocomm Research (I2R) Visual Computing Department, Singapore 138632, Singapore1
College of Computer and Information Science, Northeastern University, Boston, USA1
Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands1
The Pennsylvania State University1
Disney Research1
National Institute of Advanced Industrial Science Technology, Japan1
Department of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada1
College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang1
Industrial Technology Research Institute, China1
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China1
School of Information Science, Computer, and Electrical Engineering (IDE), Halmstad University, P.O.Box 823, SE-301 18, Halmstad, Sweden1
TecNM Instituto Tecnológico de Ensenada, Ensenada, Mexico1
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ensenada, Mexico1
Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, Mexico1
TecNM - Instituto Tecnológico de Tijuana, Calzada Del Tecnológico S/N, Fraccionamiento Tomas Aquino, Tijuana, Mexico1
Chiba Institute of Technology, Japan1
School of Information Science and Technology, Shandong Normal University, Jinan, China1
Mechatronics Group, University of Auckland, Auckland, New Zealand1
Visual Information Technologies, Jacobs University Bremen, Bremen, Germany1
School of Engineering, Auckland University of Technology, Auckland, New Zealand1
ESTIA, Bidart, France1
Institut Mines-Télécom, Télécom SudParis, Evry Cedex, France1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Famagusta, North Cyprus1
Department of Electrical and Electronic Engineering, Eeastern Mediterranean University, Famagusta, North Cyprus1
Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina1
Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil1
Department of Electrical & Computer Engineering - Democritus University of Thrace, Greece1
Département Electronique et Physique, Institut National des Télécommunications, 9 Rue Charles Fourier, 91011 Evry France. Bernadette.Dorizzi@int-evry.fr1
School of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea1
CS Dept., UFMG, Brazil1
Argonne National Laboratory, USA1
Stony Brook University, USA1
KAUST Visualizatioin Core Lab., Thurwal, Saudi Arabia1
California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, USA1
VRVis Zentrum für Virtual Reality and Visualisierung, Vienna, Austria1
Department of Computer Science and Engineering, University of Colorado at Denver, Denver, USA1
Department of Computer Science, University of California at Irvine, Irvine1
Department of Computer Science, University of Nevada, Reno, USA1
Laboratoire Jean Kuntzmann, Grenoble, France1
Electrical and Electronics Engineering Department, Eskisehir Osmangazi University, Eskisehir, Turkey1
Department of Computer Engineering, Umm Al-Qura University, Makkah, Saudi Arabia1
Department of Electrical and Computer Engineering and the Center for Automation Research, UMIACS, University of Maryland, College Park1
Center for Automation Research, UMIACS, University of Maryland, College Park1
Digital Signal Corporation1
Department of ECE, Siddaganga Institute of Technology, Tumakuru-572103, India1
Electrical and Computer Engineering Department, Colorado State University, Fort Collins, Colorado1
Department of ECE, PES University, Bengaluru-560085, India1
Department of Electrical and Computer Engineering, Khalifa University of Science Technology & Research, Sharjah, United Arab Emirates1
Pasadena, USA1
Faculty of Information Sciences and Engineering, Management and Science University, Selangor, Malaysia1
UTM-Big Data Center, Universiti Teknologi Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia1
Ryerson Multimedia Research Laboratory, Ryerson University, Canada1
School of Computer, Beijing Information Science and Technology University, Beijing, China1
The Experimental Teaching Center of Electronics information and Control, School of Automation, Beijing Information Science and Technology University, Beijing, China1
Chinese Academy of Sciences, Xi'an, Shaanxi, P.R. China1
OpenLab, School of Computing Science, The University of Newcastle, Newcastle upon Tune, United Kingdom1
Dept. of Electrical & Computer Engineering, Northeastern University, Boston, MA, 021151
College of Computer & Information Sciences, Northeastern University, Boston, MA, 021151
Research, MVTec Software GmbH, Munich, Germany1
Faculty of Informatics, Technical University of Munich, Munich, Germany1
Department of Computer Science, The University of Hong Kong, Pokfulam, Hong Kong1
Department of Mathematics, University of Houston, Houston, TX 77204, USA1
Surf Sara BV, Science Park 140, Amsterdam, The Netherlands1
Multi-Agent Intelligent Simulation Laboratory (MISL), Mahasarakham University, Thailand1
Institute for Information and System Sciences, Science and Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China1
School of Information Science and Technology, Yunnan Normal University Kunming, 650092, China1
University of St Andrews, St Andrews, United Kingdom1
Samsung Electronics1
Key Lab. of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences, China1
School of Economics and Management, University of Chinese Academy Sciences, Beijing, China1
Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, Beijing, China1
Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China1
Sun Yat-sen University, Guanghou, China1
Forensics and Security Lab, Division of Computing Systems, School of Computer Engineering, Nanyang Technological University, Singapore, Singapore1
Robotic Center, Mines ParisTech, 75272, France1
Honda R&D Co., Ltd, Wako, Japan1
Department of Intelligent Multimedia, ISIR of Osaka University, Osaka, Japan1
The State Key Lab of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China1
West Virginia University, Morgantown, WV1
Ajou Univ.1
School of Information Technology, Halmstad University, Halmstad, Sweden1
Nokia Bell-Labs, Madrid, Spain1
HCL Technologies Ltd. Chennai, Tamilnadu1
Department of Electronics Engineering, Pusan National University, Busan, Korea1
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China1
Computer and Information Technology, Beijing Jiaotong University, Beijing, China1
Aerosp Mech & Manuf Eng, RMIT University, Melbourne, Vic, Australia1
School of Computer Science, University of Birmingham, Birmingham, United Kingdom1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China; Institute of Computing Technology, CAS, 100080, China. wgao@jdl.ac.cn1
Institute of Computing Technology, CAS, 100080, China. clwang@jdl.ac.cn1
Institute of Computing Technology, CAS, 100080, China. xlchen@jdl.ac.cn1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China. wangqi@jdl.ac.cn1
Leibniz Universität Hannover & German National Library of Science & Technology (TIB), Hannover, Germany1
University of Chinese Academy of Sciences, Beijing, People’s Republic of China1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, People’s Republic of China1
The University of Texas at Austin, Austin, USA1
Faculty of Engineering, Computer Engineering Department, Akdeniz University, Dumlupinar Bulvari, Turkey1
IRCICA, Parc Scientifique de la Haute Borne, Lille 1 University, Villeneuve d’Ascq, France1
School of Computer Science, University of Adelaide, Adelaide, Australia1
Department of Computer Science, University of Bath, Bath, UK1
Data and Analytics Department, KPMG AGWPG, Düsseldorf, Germany1
Department of Electrical and Computer Engineering, National University of Singapore1
School of Software, Beijing Institute of Technology, China1
School of Electronics Engineering and Computer Science, Peking University, Peking, China1
University of Ulm, Universität Ulm, Ulm, Germany1
College of Computer Science, Chongqing University, 400030, China1
College of software, Chongqing University of Posts and Telecommunications, 400065, China1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China and Department of Mathematics, Menoufia University, Egypt1
Computer Science Dept., Columbia University, USA1
Computer Science Dept., SUNY Stony Brook, USA1
The Graduate University for Advanced Studies (Sokendai), Japan1
Psychological Research and Consulting Center, Southwest Jiaotong University, Chengdu, China1
Weizmann Institute of Science1
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Robotics and Computer Vision Lab, KAIST, Korea1
LITIS EA 4108, University of Rouen, France1
ICube UMR 7357, CNRS, University of Strasbourg, France1
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Department of Mechatronics Engineering, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia1
Dalian University of Technology, Liaoning Province1
Purdue University, West Lafayette, IN1
Intel Corporation, Santa Clara, CA1
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Ajou University1
Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany1
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IRDA Group, ADMIR Laboratory, Rabat IT Center, ENSIAS, CNRST (URAC29), Mohammed V University of Rabat, Morocco1
LRIT, CNRST (URAC29), Mohammed V University of Rabat, Morocco1
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark , NJ, USA1
Microsoft Research , Redmond, WA, USA1
Microsoft Visual Perception Laboratory, Zhejiang University, Hangzhou, China1
Department of IT, UIT RGPV, BHOPAL, India1
Intelligent Technology Laboratory, Dept. of Computer Science & Engineering, Inha University, Incheon, Korea1
Department of Information Technology, Hansei University, Kyonggi, Korea1
School of Mechanical Engineering, Pusan National University, Pusan, Korea1
Department of Automotive Engineering, Seoul National University of Technology, Seoul, Korea1
Chemical, Managerial, Computer and Mechanics Engineering Department, DICGIM, University of Palermo, Italy1
Coll. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China1
School of Software, Sun Yat-Sen University, Guangzhou, China1
Graduate University of the Chinese Academy of Sciences, Beijing, China1
Computer Vision Center, Barcelona1
JiangSu University of Science and Technogly, Zhenjiang, China1
School of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan, China1
Queen’s University, Kingston, Canada1
OMRON Social Solutions Co., LTD, Kyoto 619-0283, Japan1
Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran1
Heilongjiang Bayi Agricultural University, Heilongjiang, China1
University of Portsmouth, Portsmouth, UK1
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China1
Department of Mathematics, Wayne State University, Detroit, MI, USA1
Department of Computer Science, Illinois Institute of Technology, Chicago, U.S.A.1
LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France1
Laboratory of LAGE, University of Ouargla, Algeria1
Artificial Intelligence Key Laboratory, of Sichuan Province, Zigong, Sichuan, 643000, P. R. China1
School of Big Data and Computer, Science, Guizhou Normal University, Guiyang, Guizhou, 550025, P. R. China1
University of California Irvine, Irvine1
COMSATS Institute of Information Technology, Lahore, Pakistan1
Department of Electrical (Telecom) Engineering, NUST Military College of Signals, Islamabad, Pakistan1
Department of Computer and Information Sciences, Pakistan Institute of Engineering & Applied Sciences, Islamabad, Pakistan1
Research & Technology Center, North American Robot Bosch LLC, 2835 East Carson Street Suite 210, Pittsburgh, 15203, USA1
Media Research Department, Center for Technology Innovation - System Engineering, Hitachi, Ltd., 1-280 Higashi-koigakubo, Kokubunji, Tokyo 185-8601, Japan1
Department of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom1
Department of Electrical Engineering, University of Souk-Ahras, Souk-Ahras, Algeria1
IDI, Norwegian University of Science and Technology (NTNU), Trondheim, Norway1
Santa Clara University, Santa Clara, USA1
Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic1
Department of Electrical and Computer Engineering, Duke University, NC, USA1
Department of Computer Science, Prince Sultan University, Riyadh, Saudi Arabia1
School of Science, Jimei University, Xiamen, Fujian 361021, China1
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China1
Research Groups on Intelligent Machines, University of Sfax, Sfax, Tunisia1
Georgia Tech Institute for Robotics and Intelligent Machines, USA1
Faculty of Engineering, Washington University St. Louis, USA1
College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China1
School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China1
Department of Electrical Engineering Amirkabir University of Technology, Tehran, Iran1
Department of Information Processing Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology Yokohama 226-8503, Japan1
Faculdade de Engenharia da Universidade do Porto (FEUP), Campus da FEUP, Porto, Portugal1
INESC TEC, Campus da FEUP, Rua Dr. Roberto Frias, Porto, Portugal1
Intel Corp., 4600 S. Dobson Road, Chandler, AZ 852481
Dept. of Artificial Intelligence, Faculty of Computer Engineering, University of Isfahan, Iran1
School of Communication & Information Engineering, University of Electronic Science and Technology of China, Chengdu, China1
TALP-UPC, Jordi Girona 1, 08034 BARCELONA, SPAIN1
E. U. P. Mataró, Avda. Puig Cadafalch 101, 08303 MATARO, SPAIN1
Key Laboratory of Road and Traffic Engineering, Ministry of Education, National Engineering Laboratory for Integrated Optimization of Road Traffic and Safety Analysis Technologies, Tongji University1
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Deajeon, South Korea1
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea1
Toyota Central R&D Lab., Inc., Nagakute, 480-1192 Japan1
Electronics advanced development department, Toyota Motor Corporation, Toyota, 471-8571 Japan1
Osaka Institute of Technology, Osaka, 535-8585 Japan1
KU Leuven, ESAT PSI, iMinds, Leuven, Belgium1
General Electric Global Research, Niskayuna, NY, USA1
Temple University, Dept. of Electrical and Computer Engineering, Philadelphia, PA1
Rochester Institute of Technology, Dept. of Electrical and Microelectrical Engineering, Rochester, NY1
LIRIS, UMR 5205 CNRS, INSA-Lyon, F-69621, France1
Orange Labs, R&D, Meylan, France1
Universidad Nacional de San Agustín, Arequipa, Perú1
Computer Science Department, Federal University of Ouro Preto (UFOP), Ouro Preto, Minas Gerais, Brazil1
Universidad Católica San Pablo, Arequipa, Perú1
Institute of Information Science and Technologies, National Research Council, Pisa, Italy1
Institute of Structure of Matter, National Research Council, Rome, Italy1
General Motors Advanced Technical Center, Israel1
Department of Information Systems, University of Haifa, Israel1
Department of Computer Science, University of Haifa, Israel1
Institute for Information Industry, Smart Network & System Institute 7F, No. 133, Sec. 4, Minsheng E. Rd., Taipei 105, Taiwan, R.O.C.1
Beta Robots, Barcelona, Catalunya, Spain1
State Grid Inner Shizuishan Power Supply Company, Shizuishan, 753000, China1
School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China. luckzpz@seu.edu.cn1
School of Information Science and Engineering, Southeast University, Nanjing, 210096, China. summer@seu.edu.cn1
Mimetic team, INRIA Rennes, Rennes, France1
University of Applied Sciences Erfurt, Applied Computer Science, Erfurtn, Germany1
Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea1
Purdue University, 465 Northwestern Avenue, West Lafayette, IN 47907, USA1
Military Technical College, Cairo, Egypt1
School of Automation Science and Electrical Engineer, Beihang University, Beijing, China1
Chengdu Productivity Promotion Center, Chengdu 610000, China1
CSE, Park College of Engineering and Technology, Kaniyur, Coimbatore, Tamilnadu, India1
CSE, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India1
Department of Civil Engineering, University of Nottingham, Ningbo 315100, China1
Centre for Advanced Analysis, University College London, London, UK1
Department of Geographical Science, University of Nottingham, Ningbo 315100, China1
International Doctoral Innovation Centre, University of Nottingham, Ningbo 315100, China1
Innovative Information Industry Research Institute, Fujian Normal University, Fuzhou, 350300, China1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjing University), Fuzhou, 350121, China1
Department of Electrical Engineering, National University of Kaohsiung, Taiwan, ROC1
Electronics and Communication Engineering Department, Thiagarajar College of Engineering, Madurai, TN 625015 India1
Microsoft Research Asia, Beijing, China. xitang@microsoft.com1
Microsoft Research Asia, Beijing, China. fangwen@microsoft.com1
Microsoft Research Asia, Beijing, China. rxiao@microsoft.com1
The Chinese University of Hong Kong. wliu5@ie.cuhk.edu.hk1
Shanghai Jiaotong University, China. tydsh@sjtu.edu.cn1
Department of Computer Science, Harbin Institute of Technology, China, 1500011
Department of Computer Science, Kiel University, Germany1
Department of Computer Science & Software Eng., Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China1
Computer Science and Engineering Department, IŞIK University, Şile, Turkey1
Pattern Recognition and Machine Intelligence Laboratory, IŞIK University, Şile, Turkey1
Department of Computer Science and Technology, University of Electronic Science and Technology of China1
Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, China1
Computer Science Department, School of Information Science and Engineering, Xiamen University, Xiamen, China1
National Traffic Safety and Environment Laboratory, Chofu, Tokyo, Japan1
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213. Marios.Savvides@ri.cmu.edu1
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213. yunghui@cmu.edu1
Shenzhen Wave Group Suzhou R&D center, Suzhou, China1
Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, China1
ECE Department, Carnegie Mellon University, USA. kumar@ece.cmu.edu1
ECE Department, Carnegie Mellon University, USA. raa@andrew.cmu.edu1
Department of Mechanical Engineering. University of Aveiro, Aveiro, Portugal1
Visual Computing Group, Microsoft Research Asia, Beijing, China. xitang@microsoft.com1
Visual Computing Group, Microsoft Research Asia, Beijing, China. zhoulin@microsoft.com1
Visual Computing Group, Microsoft Research Asia, Beijing, China. i-dezhao@microsoft.com1
College of Information Engineering, Shenzhen University, P. R. China1
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Tokyo, Japan1
Yangzhou University, China1
Yangzhou University, China; Nanjing University of Science and Technology, China1
Aberdeen University, Aberdeen, United Kingdom1
Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden1
Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden1
Department of Computer Scicence and Center for Visualization and Virtual Environments, University of Kentucky, Lexington KY 40507. etienne@cs.uky.edu1
The Hong Kong Polytechnic University1
Department of Computer Science and Engineering, HITEC University, Taxila, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College, Peshawar, Pakistan1
Philips Research Eindhoven Storage Systems and Applications Eindhoven, Netherlands1
Information Sciences Institute, University of Southern California, Marina del Rey, USA1
LGI2P, Ecole des Mines Ales, Parc Scientifique Georges Besse, 30035 Nimes cedex 1, France1
Griffith University, Australia1
School of Computer Science, Unmanned System Research Institute, and with the Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an, China1
College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia1
Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India1
Glasgow Caledonian University, Glasgow, United Kingdom1
Ming-Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, USA1
Department of Computer Science, City University of Hong Kong, Hongkong, China1
Centre for Vision, Speech and Signal Processing, Department of Electronic Engineering, University of Surrey, Guildford, U.K.1
Department of Psychiatry, University of California, San Francisco, San Francisco, USA1
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Department of Experimental Psychology, Oxford, UK1
Department of Cognitive Neuroscience, Radboudumc, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands1
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Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, Netherlands1
Department of Electrical and Computer Engineering, Cornell University, USA1
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Google Inc., USA1
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Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), University of Louvain, Louvain-la-Neuve, Belgium1
Signal Processing Lab, EPFL, Lausanne, Switzerland1
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Imagine, LIGM, Universite Paris-Est, France1
École Normale Supérieure, France1
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Lane Department of CSEE, West Virginia University, Morgantown, WV 26506, USA1
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National University of Singapore & SAP Machine Learning, Singapore, Singapore1
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Inria Méditerranée, France1
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UBTech Sydney Artificial Intelligence Institute, Sydney, NSW, Australia1
Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin, 541004, China1
Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, 541004, China1
Cookpad, Inc., Tokyo, Japan1
Pattern Recognition and Machine Learning Lab, Gachon University, Seongnam, Korea1
National Kaohsiung Marine University1
École polytechnique fédéral de, Lausanne (EPFL), Switzerland1
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University of Bolton, Bolton, UK1
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China-ASEAN Research Institute of Guangxi University, Nanning, China1
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Istituto Italiano di Tecnologia & Università di Verona, Genova, Italy1
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State key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China1
National Engineering Research Center for Multimedia Software and the School of Computer, Wuhan University, Wuhan, China1
Office of Safety Research and Development, Federal Highway Administration, U.S. Department of Transportation, Virginia, USA1
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj - Napoca, Romania1
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Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, Germany1
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SET Corporation, Arlington, VA, USA1
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Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland1
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IBM Research1
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B-DAT Laboratory, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China1
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Military Transportation University, Tianjin, China1
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Honda Research Institute Europe GmbH, Offenbach, Germany1
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Computer Vision and Machine Learning Research Group, School of Engineering, University of Central Lancashire, Preston, UK1
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Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong1
Xi'an Shiyou University, China1
Xi'an University of Technology, China1
Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China1
Computer Science Department, University of Illinois at Urbana–Champaign, Champaign, IL, USA1
College of Computer Sciences, Zhejiang University, Zhejiang, China1
Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, China1
Dept. of Computer Science and Information Eng., National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan1
State Grid Zhejiang Xianju Power Supply Co., Ltd, Taizhou, China1
State Grid Zhejiang Electric Power Research Institute, Hangzhou, China1
Sharif University of Technology, Iran and iMinds, Gent University, Belgium1
Kontrol Mühendisliği Bölümü, İstanbul Teknik Üniversitesi, Turkey1
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NERCMS, Computer School of Wuhan University, Wuhan, People’s Republic of China1
Collaborative Innovation Center of Geospatial Technology, Wuhan, People’s Republic of China1
State Key Laboratory of Software Engineering, School of Computer of Wuhan University, Wuhan, People’s Republic of China1
Beijing Key Laboratory of Digital Media, School of Computer Science and Technology, Beihang University, Beijing, China1
Shenzhen Key Lab for CVPR, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China1
Graduate School at Shenzhen, Tsinghua University Shenzhen, China1
The University of North Carolina at Chapel Hill, Chapel Hill, USA1
Bundeswehr University Munich, Neubiberg, Germany1
Department of Radiology, The Shenzhen No. 3 People's Hospital, Guangdong Medical College, Shenzhen, China1
Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China1
Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA1
Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA1
CNRS LTCI; Télécom ParisTech1
Institut Mines-Télécom; Télécom ParisTech; CNRS LTCI1
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Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
Amity University, Noida, India1
Infosys Limited, Bhubaneswar, India1
University of Beira Interior1
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Polytechnic Military Institute, Bp17 Bordje El Bahri Algeria1
Informatics Laboratory of Paris6 (LIP6)1
Escuela de Negocios Gastronomicos, Universidad Panamericana, Aguascalientes, Mexico1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523-1874 U.S.A. peterson@math.colostate.edu1
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School of Software Engineering, Xi'an jiaotong University, Xi'an, China1
Department of Computer Science, Loughborough University, Loughborough, U.K.1
Libera Universit di Bolzano-Bozen, Itally1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Xili, Shenzhen, People’s Republic of China1
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan1
Goethe University, VSI Lab, Frankfurt, Germany1
IPSRC, Waseda University, Kitakyushu, Japan1
School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China1
Intelligent Recognition and Image Processing Lab. (IRIP), Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing, China1
Harbin Institute of Technology Shenzhen Graduate School, University Town, Shenzhen, China1
College of Economics, Shenzhen University, Shenzhen, China1
Computer Vision Research Group, School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia1
Department of Electrical Engineering, Faculty of Engineering, Urmia university, Urmia, Iran1
Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, China1
University of Rijeka, Faculty of Engineering, Croatia1
Centrum Wiskunde & Informatica (CWI), The Netherlands1
DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile1
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Amazon, USA1
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University of Mainz1
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Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand1
LEAD Graduate School and Research Network, University of Tübingen, 72074 Tübingen, Germany1
Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany1
Olaworks, Inc., Seoul, Republic of Korea1
Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea1
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NTT Service Evolution Laboratories, Kanagawa, Japan1
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School of Automation and Electrical Engineering, University of Science & Technology Beijing, Beijing, China1
School of Automation and Electrical Engineering, Faculty of University of Science & Technology Beijing, Beijing 100083, China1
Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, France1
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Product/Industrial Design, Northumbria School of Design, Northumbria University, Newcastle upon Tyne, UK1
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School of Information and Computer Technology Sirindhorn International Institute of Technology, Thammasat University, Thailand1
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Center for Advance Imaging Innovation and Research, New York University, New York, NY, USA1
Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA1
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Identity, Privacy and Security Institute, Department of Electrical and Computer Engineering, University of Toronto, ON, Canada, M5S 2E41
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School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, South Korea1
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Telecom Division, Centre de Developpement des Technologies Avancees, Algiers, Algeria1
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, China1
Computer Vision Laboratory, DAP, Universita di Sassari, Alghero 07041, Italy1
University of California, San Diego, San Diego, CA, USA1
Collaborative Innovation Center of International Dissemination of Chinese Language Henan Province (HNIDCL), Henan, China1
Henan Key Laboratory of Oracle Bone Inscriptions Information Processing, Anyang Normal University, Anyang, China1
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School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China1
Department of Electronic and Computer Engineering, Peking University, Shenzhen, China1
School of Electronics Engineering and Computer Science, Peking University Shenzhen Graduate School, Shenzhen, China1
Daimler AG Sindelfingen, Germany1
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Samsung Advanced Institute of Technology, Gyeonggi-do, Korea1
CEDRIC, Conservatoire National des Arts et Métiers, Paris, France1
Thales Land and Air Systems, Élancourt, France1
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Beijing University of Posts and Telecommunications, International School E-Commerce Engineering with Law, Beijing, China1
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Chongqing Institute of Green and Intelligent Technology, Chinese Academy of China, Hefei University of Technology, Hefei, China1
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Dept. of Computer Engineering Kuwait University1
Dept. of Electrical & Computer Engineering, Sultan Qaboos University1
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3. 10000 Zagreb, Croatia1
Research Center for Informatics, Indonesian Institute of Sciences, Jl. Jend. Gatot Subroto 10, Jakarta, Indonesia1
Department of Computer Engineering, Mahanakorn University of Technology, Bangkok, THAILAND, 105301
The Computer Engineering Graduate Program, Faculty of Engineering, Mahanakorn University of Technology, Bangkok, THAILAND, 105301
Tencent, Shanghai, China1
Osaka University, Osaka Prefecture, Japan1
Clarkson University, Potsdam, New York1
Institute of Semiconductors, Chinese Academy of Sciences&University of Chinese Academy of Sciences, Beijing, China1
CNRS-LTCI, GET-ENST, 46 rue Barrault, 75013 Paris, France1
Guangzhou HKUST Fok Ying Tung Research Institute, The Hong Kong University of Science and Technology1
Minzu University of China, Beijing, China1
Nokia Bell Labs, Murray Hill, NJ, USA1
University College London, UK, Dept. of Electronic and Electrical Engineering1
UT Austin Computer Science Dept., TX 78712, USA1
UC Berkeley EECS and ICSI, CA 94720, USA1
Jiangsu Department of Water Resources, Nanjing, China1
Consiglio Nazionale delle Ricerche, Istituto di Calcolo e Reti ad Alte Prestazioni, Viale delle Scienze, 90128 Palermo, ITALY1
School of Information Technology and Electrical Engineering, The University of Queensland, Queensland, Australia1
Department of Computer Science, Texas State University, San Marcos, USA1
School of Computer Science, The University of Adelaide, Adelaide, Australia1
IDscan Biometrics Ltd, London E14 9QD, UK1
School of Mathematical Sciences, DUT-RU International School of Information and Software Engineering, Dalian University of Technology, Dalian, China1
University of Valenciennes, Valenciennes, France1
Computing Department, Imperial College London, UK. M.Pantic@imperial.ic.ac.uk1
Computing Department, Imperial College London, UK. M.F.Valstar@imperial.ic.ac.uk1
School of Computer Engineering, Hanshin University, Osan, Republic of Korea1
Yokohama National University, Yokohama, Japan1
Hokkai Gakuen University Sapporo, Japan1
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pompeu Fabra - UPF and Institució Catalana de Recerca i Estudis Avanats - ICREA, Roc Boronat, 138 - 08018 - Barcelona, Spain1
Robotics Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia - IIT, Via Morego, 30 - 16163 - Genova, Italy1
School of Internet of Things Engineering, Jiangnan University, Wuxi, People’s Republic of China1
Software Engineering Laboratory, Department of Computer Software, University of Aizu, Fukushima, Japan1
Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Saga, Japan1
College of Mathematics and Information Science, Wenzhou University, Wenzhou, China1
School of Economics, Beijing Technology and Business University, Beijing, China1
Johns Hopkins University1
Image and Video System Laboratory, Information Communication University, Korea1
Mobile Intelligent Autonomous Systems, Modelling and Digital Sciences, Council for Scientific and Industrial Research, South Africa1
Development Research Institute of Guangzhou Smart City, Guangzhou, China1
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China1
Toyota Research, Los Altos, CA, USA1
School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia1
Shanghai Advanced Research Institute, CAS & Qiniu AI Lab, Shanghai, China1
Dept. of Electronic Engineering, Tsinghua University, Beijing, P.R. China1
School of Computer ScienceThe University of Adelaide1
Instituto de Sistemas e Robótica, Instituto Superior Técnico, Lisboa, Portugal1
Comput. Control Lab, Nanyang Technol. Univ., Singapore1
University of Lyon, LIRIS - CNRS, National Institute of Applied Sciences (INSA), Lyon, France1
Automotive BU, RT-RK Computer-Based Systems LLC, Novi Sad, Serbia1
Curtin University, Perth, WA, Australia1
University of Central Florida, Orlando, FL, USA1
China University of Mining and Technology, Beijing, China1
Department of Computer Science and Engineering, The Ohio State University, Columbus, USA1
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, USA1
School of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK1
AT&T Labs Research, Middletown - NJ1
Dept. of Electronic Engineering, Tsinghua University, Beijing, China1
Carnegie Mellon University NASA Research Park #23, Moffett Field, CA 940431
The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China1
Faculty of Computers and Information, Ain Shams University, Cairo, Egypt1
Psychology at The University of Texas at Austin, 78712, USA1
National Key Laboratory of Parallel and Distributed Processing, Changsha, China1
CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China1
Université Technologique de Compi`egne, 60200, France1
University of Ljubljana, Faculty of Electrical Engineering, Laboratory for Telecommunications, Tržaška 25, 1000, Slovenia1
Computer Science Dept., College of Computing and Information Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt1
Shenzhen Graduate School, Harbin Institute of Technology, Bio-Computing Research Center, Shenzhen, China1
Department of Mathematics, National University of Singapore, Singapore1
The Wellcome Trust Centre for Neuroimaging, UCL, 12 Queen Square, London WC1N 3BG, UK1
School of Computer Science and Technology, Anhui University of Technology, Ma’anshan, People’s Republic of China1
State Key Laboratory of Robotics, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China1
College of Information Engineering, Capital Normal University, Beijing,, China1
Advanced Digital Sciences Center, University of Illinois at Urbana-Champaign, 08-10, 1 Fusionopolis Way, Connexis North Tower, Singapore, Singapore1
School of Software, Dalian University of Technology, 116620, China1
Department of Advanced Engineering Daimler Trucks, Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany1
Institute of Industrial Information Technology, Karlsruhe Institute of Technology, 76187 Karlsruhe, Germany1
Department of Computer Science, University of Freiburg, Germany1
JENOPTIK Optical Systems GmbH, Jena, Germany1
IBM Research - Almaden, San Jose, CA, USA1
UC San Diego, La Jolla, CA, USA1
School of Computer Science and Statistics, Trinity College, Dublin, Ireland1
Dipartimento di Scienze Umane, Università della Basilicata, Italy1
Istituto Nazionale di Geofisica e Vulcanologia, Sez. di Napoli Osservatorio Vesuviano, Italy1
Singapore Polytechnic, 500 Dover Road, Singapore 1396511
Singapore University of Technology and Design, 20 Dover Road, Singapore 1386821
University of Surrey, Guildford, United Kingdom1
UIB – Universitat de les Illes Balears, Palma de Mallorca, Spain1
Department of Image and Information Processing (ITI), Telecom-Bretagne, Brest - France1
Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun Donglu Beijing 100080, China1
Information Directorate, Air Force Research Laboratory, Rome, NY, USA1
Applied Soft Computing Lab, School of Computer Science and Engineering, Korea University of Technology and Education, Republic of Korea1
Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Malaysia1
University of Central Florida 4000 Central Florida Blvd., Orlando, 328816, USA1
Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA 15213, USA1
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, China1
Applied Statistics Laboratory, San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA1
PerceptIn1
Dept. of Electr. & Info. Eng., Zhejiang Univ., Hangzhou, China1
College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China1
UBTECH Sydney Artificial Intelligence Centre, Faculty of Engineering and Information Technologies, School of Information Technologies, The University of Sydney, Sydney, NSW, Australia1
Union Visual Innovation Technology Co., Ltd., Shenzhen, China1
Department of Health Sciences, University of Leicester, UK, LE5 4PW1
Paris-Sud,Université Paris-Saclay, Orsay, France1
Université Paris-Saclay, Orsay, France1
Department of Computer Systems, Universidad Politécnica de Madrid, Madrid, Spain1
Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Zhejiang, China1
College of Computer Science, Zhejiang University, Zhejiang, China1
Telecom-Lille1, Lille, FRANCE; boulbaba.benamor@telecom-lille1.fr1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; johan.dhose@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; guerfi@iut.unif-evry.fr1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; chaari@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; mohamed.anouar_mellakh@it-sudparis.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; emine.krichen@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; mohsen.ardabilian@liris-edu.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; bernadette.dorizzi@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; liming.chen@liris-edu.eu1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; joseph.colineau@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; s.lelandais@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; dijana.petrovska@it-sudparis.eu1
Institute of Data Science and Technology, Shandong Normal University, Jinan, China1
Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria1
Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Liège, Liège, Belgium1
Criminal Intelligence Unit, Ohio Bureau of Criminal Identification and Investigation, Youngstown , OH, USA1
Department of Arts, Youngstown State University, Youngstown, OH, USA1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Material Handling and Logistics Systems1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Networked Systems and Services1
National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, 1-1-1 Higashi, Ibaraki 305-8566, Japan1
School of Information Science and Engineering, Yunnan Unversity, Yunnan, China1
School of Electronic and Information Engineer, South China University of Technology, Guandong, China1
VIT University, India1
Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China1
The University of Tokushima, Tokushima 770-8506, Japan; School of Information Engineering, Beijing University of Posts and Telecommunications Beijing 100876, China1
The University of Tokushima, Tokushima 770-8506, Japan. Email: kuroda@is.tokushima-u.ac.jp1
Centre for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland1
Department of Computer Science, Middlesex University London, London, UK1
Department of Computer Science, University of Exeter, Exeter, UK1
University “Politehnica”, Bucharest, Department of Telecommunications, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
ECE Department, Northeastern University, Boston, MA, USA1
ETH Zürich, Zürich1
Teleinfrastructure R&D Lab, Technical University of Sofia, Bulgaria1
Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India1
Princeton University &Microsoft, Princeton, NJ, USA1
Microsoft &University of Washington, Redmond, WA, USA1
Dept. de Computación, Universidad Simón Bolívar, Caracas, Venezuela1
University of Balamand, Souk El Ghareb, Lebanon1
University Pau & Pays Adour, LIUPPA, EA3000, Anglet, France1
University Pau & Pays Adour, LIUPPA, EA3000, Mont De Marsan, France1
Collaborative Innovation Center of Novel Software Technology and Industrialization, College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
Center for Research in Intelligent Systems, University of California at Riverside, Riverside, CA, USA1
Department of Computer Science, University of California at Riverside, Riverside, CA, USA1
Shahrood University of technology, Shahrood, Iran1
Iran University of Science and Technology, Tehran, Iran1
Institute of Information Technology and Network Security, People’s Public Security University of China, Beijing, China1
University of Helsinki, Finland1
Robert Bosch GmbH, Abstatt, Germany1
OFFIS, Oldenburg, Germany1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213. Marios.Savvides@ri.cmu.edu1
Electrical and Computer Engineering Department, Carnegie Mellon University, Pittsburgh, PA 15213. sungwonp@andrew.cmu.edu1
Motilal Nehru National Institute of Technology, Allahabad, India1
The University of Electro-Communications, Tokyo, Japan1
Systems Research Institute, Polish Academy of Sciences, 6 Newelska Street, 01-447 Warsaw, Poland1
Research Center for Smart Vehicles, Toyota Technological Institute, Hisakata, Nagoya, Aichi, Japan1
Toyota Central R&D Labs., Inc., Nagakute, Aichi, Japan1
CICATA Querétaro, Instituto Politécnico Nacional, Querétaro, Mexico1
Seoul National University, Suwon, Gyeonggi-do, Rebublic of Korea1
Seoul National University, Suwon-si, Gyeonggi-do, Rebublic of Korea1
Miami University1
ICMC-USP, São Carlos, São Paulo, Brazil1
Dep. Computer Science and Statistics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil1
Adjunct, Effat University, Jeddah, Saudi Arabia1
Department of Electrical and Computer Engineering, University of Miami, Coral Gables, USA1
School of Computer Science, Wuyi University, Jiangmen, China1
University of Tsukuba, Tsukuba City, Ibaraki, Japan1
School of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia1
Department of Complex Systems, Computer Center, Russian Academy of Sciences, Moscow, Russia1
Center for Advanced Studies in Identity Sciences, Clemson University1
Center for Advanced Studies in Identity Sciences, The University of North Carolina at Wilmington1
School of Computer Engineering, Nanyang Technological University, Singapore. astjcham@ntu.edu.sg1
School of Computer Engineering, Nanyang Technological University, Singapore. mtpham@ntu.edu.sg1
Fakulti TeknologiDan Sains Maklumat, UKM, Bangi, 43600 Selangor, Malaysia1
Fakulti Teknologi Maklumat Dan Sains, Kuantitatif, UiTM, Shah Alam, 40000, Selangor, Malaysia1
Bilişim Teknolojileri Enstitüsü, Tübitak BİLGEM, Kocaeli, Türkiye1
National defense acquisition and system engineering management, National University of Defense Technology, Changsha, Hunan, P.R. China1
Department of Electronics and Communication Engineering, Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh1
School of Computer Science and Software Engineering, University of Western Australia, Crawley, Australia1
College of Engineering & Computer Science, Australian National University, Canberra, Australia1
Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), Canberra, Australia1
Human-Centered Technology Research Centre, University of Canberra, Bruce, Australia1
Centre de Mathématiques et de Leurs Applications, Ecole Normale Supérieure de Cachan1
University of Western Australia, Perth, WA6009, Australia1
Computing, School of Science and Engineering, University of Dundee, Dundee, UK1
Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK1
UCSD, San Diego, USA1
Oxford University, Oxford, UK1
CCCE & CS, Nankai University, Tianjin, China1
Karlsruhe Institute of Technology (KIT), Germany1
Istanbul Technical University (ITU), Turkey1
Laboratory of Electronics (EμE), FSM, Monastir, Tunisia1
Le2i, UMR CNRS 5158, University of Burgundy, Dijon, France1
CES Laboratory, ENIS, University of Sfax, Sfax, Tunisia1
School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Sydney, NSW, Australia1
Centre for Artificial Intelligence and the Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Center for Visual Computing, Ecole Centrale de Paris, France1
Electrical Engineering and Computer Science, School of Engineering, University of California at Merced, Merced, USA1
School of New Media Art and Design, Beihang University1
Institute of Informatics, University of Szeged Arpád tér 2, 6720 Szeged, Hungary1
School of Mechanical & Electrical Engineering, Longyan University, Fujian, China1
Department of Audit, Jiaying University, Guangdong, China1
School of Computer, Jiaying University, Guangdong, China1
Dept. of Electrical and Computer Engineering University of Illinois Urbana-Champaign (UIUC)1
Center for Development of Advanced Computing, Mumbai, India1
Computational Imaging Laboratory, School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA1
College of Computer Science & Technology, Huazhong University of Science and Technology, Wuhan, 430074, China1
Institute of Systems Engineering, Southeast University, Nanjing, China1
Edinburgh Centre for Robotics, Heriot-Watt University, Edinburgh, UK1
ETH Zurich, Zurich and ESAT-PSI/IBBT, KU Leuven1
RWTH Aachen University, Aachen1
LiberoVision AG, Zurich1
Department of Computer Science and Networked Systems, Sunway University, Subang Jaya, Malaysia1
MMA Laboratory, National Institute of the Applied Sciences and Technology, Carthage University, Tunis, Tunisia1
Electrical and Computer Engineering Department, Faculty of Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman1
Digital Research Center of Sfax, Sfax University, Sfax, Tunisia1
Laboratory of Computer and Embedded Systems, National School of Engineering of Sfax, Sfax University, Sfax, Tunisia1
Department of Plastic and Reconstructive Surgery, Indraprastha Apollo Hospital, Delhi, India1
Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA1
Department of Computer Science, ETH Zurich, Switzerland1
School of Sociology, China University of Political Science and Law, Beijing 102249, China1
Department of Electrical Engineering, University of Mohamed Khider, Biskra, Algeria1
University of Sciences and Technology (USTHB) and CERIST, Algiers, Algeria1
Department of Computer Engineering, Computer Science, University of Louisville, Louisville, USA1
Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Imense Ltd, Cambridge, UK1
Department of Information Technology, Indian Institute of Information Technology, Allahabad, India1
Lehrstuhl für Mustererkennung, FAU Erlangen – Nürnberg, Erlangen, Germany1
Department of Computer Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil1
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam1
Department of Computer Science & Engineering, Visvesvaraya National Institute of Technology, Nagpur, India1
Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China. gqcui@uiuc.edu1
Department of Geography, McGill University, Canada1
PES Center for Pattern Recognition, PESIT - Bangalore South Campus, India1
University of California at Los Angeles (UCLA), Los Angeles, CA1
Massachusetts Institute of Technology (MIT), Cambridge, MA1
San Diego State University (SDSU), San Diego, CA1
National University if Singapore, Singapore, Singapore1
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA1
Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart, Stuttgart, Germany1
Weyond, Princeton, NJ, USA1
School of Information and Computer Sciences, University of California at Irvine, Irvine, CA, USA1
School of Engineering and Information Technology, Deakin University, Geelong, Australia1
CPHHI, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia1
The Institute of Artificial Intelligence and Robotic, School of Electronic and Information Engineering, Xi’an Jiaotong University, Shaanxi, China1
Griffith University, Queensland, Australia1
TAMS, Department of Informatics, University of Hamburg, Hamburg, Germany1
Microsoft1
SMILES Laboratory, School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an, China1
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India1
SQUALIO Cloud Consulting, Riga, Latvia1
Advanced Diagnostics and Progressive Human Care Research Group, Universiti Teknologi Malaysia, Malaysia1
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia1
Department of Electrical Engineering, Universitas International Batam, Indonesia1
Epson Research and Development Inc., San Jose, CA1
Philips Research Eindhoven, HTC 34, Netherlands1
University at Buffalo, SUNY, NY 14260, USA1
Department of Computer Science & Engineering, University of Washington, Seattle, USA1
Department of Business Planning & Information Systems, TEI of Crete, Agios Nikolaos, Greece1
Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea1
Chinese Academy of Sciences, Institute of Optics and Precision Mechanics, Xi’an, China1
Department of Computer Science and Engineering, University of California, Riverside, CA, USA1
The University of Sheffield, Department of Computer Science, Sheffield S1 4DP, UK. a.samani@dcs.shef.ac.uk1
Yeungnam University, Gyeongsan-si, Korea1
Lockheed Martin Corporation, Orlando, FL, USA1
Institute of Computing, University of Campinas – UNICAMP 13083-852, Campinas, SP – Brazil1
Department of Applied Optics and Photonics, University of Calcutta, 92 APC Road, Kolkata 700009, India1
Key Laboratory for Computer Vision and Pattern Recognition of Xiamen City, Huaqiao University, Xiamen, China1
Multimedia Information Retrieval Lab Delft University of Technology, Netherlands1
University of Applied Sciences Western Switzerland, Sierre, Switzerland1
Dept. Mathematics and Computer Science, UB, Spain1
University of California Berkeley, USA1
NLPR, Institute of Automation, Chinese Academy of Sciences, China1
VNIT Nagpur-India1
Thapar University Patiala-India1
Manipal University Manipal-India1
Manipal University Jaipur-India1
ABV-IIITM Gwalior - India1
Sanders-Brown Center on Aging, University of Kentucky, Lexington, Kentucky USA1
Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, Kentucky USA1
University of Kentucky, Lexington, Kentucky USA1
Department of CSE, Jahangirnagar University, Dhaka, Bangladesh1
Department of CSE., Northern University. Dhaka, Bangladesh1
Department of ECE, East West University, Dhaka, Bangladesh1
College of Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China1
Adobe Research, Bangalore, India1
R. V. College of Engineering, Bengaluru, India1
R.V. College of Engineering, Bengaluru, India1
Department of Computer Science, George Mason University1
A*STAR, Institute for Infocomm Research, Singapore, Singapore1
CVLab, Aragon Institute for Engineering Research, University of Zaragoza, Spain1
Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France1
Math Dept, Faculty of Science, Helwan University, Cairo-Egypt1
ETH Zürich, Switzerland and Microsoft1
MIT CSAIL and ETH Zürich, Switzerland1
Institute of Information and Control, Hangzhou Dianzi University, China1
Centeye, Inc.1
Dep. Enginyeria Electrònica, C/ Colom 1 08222 Terrassa, UPC-CAMPUS TERRASSA, BARCELONA, SPAIN1
School of Computer Science, South China Normal University, Guangzhou, China1
Shaoguan University, Shaoguan, Guangdong, China1
Department of Computer Sciences, Suleyman Demirel University, Almaty, Kazakhstan1
Department of Computational Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea1
Modern Economics & Management College, Jiangxi University of Finance and Economics, Nanchang, China1
Department of Psychological Sciences, Birkbeck College, University of London, UK1
Govt. College of Engineering, Amravati India1
M.I.T. College of Engineering Pune, India1
360 AI Institute, Beijing, China1
Tencent YouTu Lab, Tencent Shanghai, China1
INRIA Grenoble-Rhone-Alpes, Cedex1
Cardiff University, Cardiff, UK1
Newcastle University, Newcastle, UK1
Southampton University, Southampton, UK1
Department of Psychology, Brunel University, School of Social Sciences, Uxbridge, UK1
Department of Psychology, University of Durham, Durham, UK1
School of Information and Control Engineering, Nanjing University of Information Science and Technology, Nanjing, China1
Freie Universität Berlin and Fraunhofer Fokus1
Institute for the Management of Information Systems, R.C. Athena1
Freie Universität Berlin1
Key Laboratory of Optoelectronic Technology and System of Education Ministry, College of Optoelectronic Engineering, Chongqing University, Chongqing , China1
Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China1
Comput. Sci., State Univ. of New York, NY, USA1
LIAMA, CNRS, Key Lab of Machine Perception (MOE), Peking University, Beijing, People’s Republic of China1
UMR CNRS 7253, Heudiasyc, Université de Technologie de Compiègne, Compiègne Cedex, France1
School of Informatics, University of Edinburgh1
Department of Computer Science, IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal1
Bilgisayar Mühendisliği Bölümü, Bilkent Üniversitesi, Ankara, Türkiye1
Council for Scientific and Industrial Research,Pretoria,South Africa1
Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong1
Université Grenoble Alpes, CNRS, GIPSA-Lab, Grenoble, France1
Université Grenoble Alpes, CNRS, LIG, Grenoble, France1
Peking University & Shanghai Jaio Tong University, Beijing, China1
Département Images et Signal (DIS), GIPSA-Lab, Domaine Universitaire, Grenoble Cedex, France1
Vesalis, Clermont-Ferrand, France1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China1
National ASIC Design and Engineering Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China1
College of Computer Science, South-Central University for Nationalities, Wuhan 430074, China1
Chinese Academy of Science1
Department of Mechanical & Industrial Engineering, Concordia University, Montreal, Canada1
State Key Lab. of Virtual Reality Technology and Systems, Beihang University, Beijing, P.R. China1
Department of Computer and Electrical Engineering, Ryerson University, Toronto, Canada1
Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada1
China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China1
School of Information Technology, Madurai Kamarai University, Madurai, India1
Computer Science and Engineering, Sanjivani College of Engineering, Kopargaon, India1
Computer Science and Engineering, St.Peter’s University, Chennai, India1
Computer Science and Engineering, Panimalar Engineering College, Chennai, India1
Dept. Technology and Nautical Sciences, Aalesund University College, Postboks 1517, N-6025, Norway1
Vision and Image Processing Laboratory, Hanbat National University, Daejeon, South Korea1
Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan1
College of Computer and Information Engineering, Henan Normal University, Xinxiang, China1
SMC Society of IEEE1
Department of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China1
Department of Computer, College of Science, Diyala University, Diyala, 32001, Iraq1
Dept. of CSIE, National Taiwan University, Taipei, Taiwan1
Inst. of Information Science, Academia Sinica, Nankang, Taipei, Taiwan1
School of Economics and Management, Minjiang University, Fuzhou, Fujian, China, 4300731
Department of Electrical and Computer Engineering, Texas A&M University and Monash University, College Station, TX 778431
Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA1
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong1
Department of Information Engineering, Chinese University of Hong Kong1
Department of Information Engineering, Henan University of Science and Technology, Luoyang, China1
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, UK1
The center for neural computation, Hebrew university of Jerusalem, Israel 919041
Computer Science Division, University of Central Florida, Orlando, FL, USA1
GuangXi Cast Animation Company, Ltd., Nanning, China1
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA1
School of Information Engineering, Xiangtan University, Xiangtan, China1
Centre for Quantum Computation & Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia1
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA1
Department of mechatronic technology of National Taiwan Normal University1
Department of Computer Science, Taipei Municipal University of Education1
Departamento de Informa´tica, Universidad Carlos III de Madrid, Madrid, Spain1
Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China1
University of Southern California, e-mail: uneumann@graphics.usc.edu1
University of Houston, e-mail: zdeng@cs.uh.edu1
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Autonomous System Laboratory - CSIRO Digital Productivity Flagship - 1, Technology Court, Pullenvale, QLD, 4066, Australia1
Robotics, Systems and Control Program at ETH Zürich, Switzerland1
School of Computer Science and Technology, Nanjing Normal University, Nanjing, People’s Republic of China1
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Jiangsu Jinling Sci & Tech Group Co., Ltd, Nanjing 210008, China1
School of Computer Science and Technology, Hubei University of Science and Technology,Wuhan 437100, China, and the Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China1
Department of Engineering Science, University of Oxford, UK1
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INRIA, WILLOW Project, Laboratoire d'Informatique de l'Ecole Normale Superieure, Paris, France1
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Sony Electronics Inc., San Jose, CA, USA1
Center for Ubiquitous Computing, University of Oulu, Oulu, Finland1
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Department of automation, Southeast University, Nanjing, China1
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National Institute of Pure and Applied Mathematics, Brazil1
Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China1
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FRD, Toyota Research Institute, Ann Arbor, Michigan 48103 USA1
School of Engineering & Applied Science, Aston University, UK1
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Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Broadway NSW, Australia1
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University of York, York, United Kingdom1
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Ames HCI Group, Moffett Field1
Schafer Corporation, Arlington1
The University of Texas at Dallas, Richardson1
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National Institute of Standards and Technology, Gaithersburg1
Beijing Technology and Business University Beijing, China1
Member, IEEE, Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium1
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Student Member, IEEE, Faculty of Engineering, Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee (Leuven), Belgium; Medical Imaging Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium. e-mail: thomas.fabry@uz.kuleuven.be1
Department of Mathematics, Taiyuan University of Technology, Taiyuan, China1
School of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea1
Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland1
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Unit 75719 of the People's Liberation Army, Wuhan, China1
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Zhejiang Normal University, Jinhua, China1
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College of Computing & Informatics, Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia1
Department of Computer Science, International Islamic University, Islamabad, Pakistan1
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Technion - Israel Inst. of Technology, Haifa, 32000, Israel1
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Automatics Research Group, Universidad Tecnológica de Pereira, Pereira, Colombia1
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The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto , Toronto, Canada1
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College of Technology, Firat University, Elazig, Turkey1
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Technicolor, Paris, France1
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Dept. of Computer Science and Information Engineering, Providence University, Taichung, Taiwan1
Agency for Science, Technology & Research, Institute for Infocomm Research, Singapore1
SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
Tencent AI Lab, Shenzhen, China1
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University of Twente, Enschede, The Netherlands1
Binghamton University, Vestal, NY, USA1
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Computer Aided Diagnosis and Therapy Solutions, Siemens Medical Solutions, Inc., Malvern, PA1
Department of Computer and Information Science, University of Mississippi, University, MS1
Academic Plastic Surgery Group, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK1
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Imperial College London, UK1
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Millennium Information Technologies (MIT) Pvt. Ltd., Sri Lanka1
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Georgia Tech Research Institute, Atlanta, 30318 USA1
IA, CAS, Beijing, China1
University of Washington and Google Inc.1
Google Inc.1
Dept. of Electrical Engineering, National Chung Hsing University, Taiwan1
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NOAA /NGDC, 325 Broadway, Boulder, CO 803051
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École Polytechnique Fédérale de Lausanne (EPFL), Computer Vision Laboratory, Switzerland1
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Smeal College of Business, Pennsylvania State University, University Park, PA, USA1
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University of Johannesburg, Johannesburg, South Africa1
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Orthopaedic Biomechanics, Biomedical Engineering Department, Eindhoven University, Eindhoven, Netherlands1
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Center for Computational Imaging & Simulation Technologies in Biomedicine, University of Sheffield, Sheffield, United Kingdom1
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Department of Computer Science & Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Tohoku University, Japan1
School of Electronic and Information Engineering, Beihang University, 100083, China. E-MAIL: YuLi_Xue@ee.buaa.edu.cn, moukyou@buaa.edu.cn1
Department of Electrical and Computer Engineering, West Virginia University Institute of Technology, Montgomery, USA1
School of Mathematics and Information Science, Chang’an University, Xi’an, China1
National Taipei University of Technology, Taiwan1
Center for Automation Research, UMIACS; Dept. of ECE, University of Maryland, College Park. rama@cfar.umd.edu1
Center for Automation Research, UMIACS; Dept. of Computer Science, University of Maryland, College Park. gaurav@cfar.umd.edu1
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Evatix, Dhaka, Bangladesh1
University of Bristol,, UK1
BioMerieu, La Balme-les-Grottes1
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Thales Electron Devices (TED), Moirans, France1
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Institute of Signal Processing, Tampere University of Technology, POBox 553, FIN-33 101, Tampere, Finland. e-mail: irek.defee@tut.fi1
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Intelligent Systems Department, Multimedia Computing Group, Delft University of Technology, Delft, The Netherlands1
Centre for Signal Processing, Dept. of Electronic & Information Engg., The Hong Kong Polytechnic University, China1
The Nature-Inspired Computational Intelligence Research Group, Kanpur, India1
Information and Computing Sciences, Utrecht University, the Netherlands1
Electro-Optics, TNO Defence Security and Safety, The Hague, The Netherlands1
School of Automation Science & Electrical Engineering, Beihang University, Peking, China1
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NIH Clinical Center, Bethesda, USA1
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Department of Computer Science and Engineering, University of Notre Dame, Notre Dame IN 46545, USA. flynn@cse.nd.edu1
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3dMD, Atlanta, Georgia, USA1
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College of Information, Capital University of Economics and Business, Beijing, China.sanyecunfu@emails.bjut.edu.cn1
Maritime and Aerial Perception Systems Group, Jet Propulsion Laboratory, Pasadena, CA, USA1
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School of Science and Engineering (Computing), University of Dundee, Dundee, U.K.1
CSIE, National Cheng Kung University, Tainan, 701 Taiwan1
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Intelligent Systems Laboratory, University of Bristol, Bristol, UK1
Curriculum in Neurobiology, University of North Carolina at Chapel Hill, Chapel Hill, USA1
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Tohoku University1
Beijing Institute of Technology, China1
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Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Department of Information Management, Huafan University, Taipei, Taiwan. E-MAIL: cytang@cc.hfu.edu.tw1
Yahoo! Research, Haifa, Israel1
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Chinese Academy of Sciences, Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Beijing, China1
Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China1
Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium and Interuniveristy Microelectronics Center (IMEC), Leuven, Belgium1
School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, PR China and Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belg ...1
Graz University of Technology, Institute for Computer Graphics and Vision. bischof@icg.tugraz.at1
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Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, India1
Electronics and Instrumentation Engineering, Seemanta Engineering College, Mayurbhanj, Odisha, India, 7570861
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Chongqing University of Technology, Chongqing, China1
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National research base of intelligent manufaturing service, Chongqing, China1
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iCV Research Group, Institute of Technology, University of Tartu, Tartu, Estonia1
NEC Labs, Cupertino, CA1
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Limos - CNRS UMR6158 Université Blaise Pascal, Campus des Cézeaux, 63173 Aubière, France1
College of Computer Science and Software Engineering, Auburn University, Auburn, U.S.A.1
College of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China1
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA1
Department of Computer and Information Science, University of Oregon, USA1
Gachon University, Gyeonggi-do, South Korea1
Dankook University, Gyeonggi-do, South Korea1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, 31270-0101
eSmile – Psychology for Children & Adolescents, Ciudad Real, Spain1
MAmI Research Lab, University of Castilla-La Mancha, Ciudad Real, Spain1
Indian Statistical Institute, Kolkata 7001081
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: pitas@zeus.csd.auth.gr, dralbert@zeus.csd.auth.gr1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: tefas@zeus.csd.auth.gr, dralbert@zeus.csd.auth.gr1
Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: dralbert@zeus.csd.auth.gr1
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, USA1
School of Information Technology, Deakin University, Geelong, Australia1
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Department of Computer Science, POSTECH, Korea. seungjin@postech.ac.kr1
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School of Electrical Engineering, Tel-Aviv University, Tel Aviv, Israel1
Faculty of Aerospace Engineering, University Politehnica of Bucharest, Bucharest, Romania1
Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia1
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Guangxi University, Nanning, China1
Dept. Computer Science & Info. Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan1
Department of Electronics Engineering and Computer Science, Fukuoka University, Fukuoka, Japan1
Department of Advance Information Technology, Kyushu University, Fukuoka, Japan1
Department of Electrical Engineering, Future Institute of Engg. & Mgmt., Sonarpur, Kolkata-700 1501
Department of Information Technology, ABACUS Institute of Engg. & Mgmt., Mogra, Hooghly-712 1481
Departament d’Informàtica, Universitat de Valencia, Valencia, Spain1
Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland, Germany1
IDIAP Research Institute, Switzerland1
Department of Engineering and MaintenanceChina Mobile Group, Jiangsu Company, Ltd., Changzhou, China1
School of Computer Sciences and Technology, Nanjing Normal University, Nanjing, China1
School of Mathematical Sciences, Nanjing Normal University, Nanjing, China1
University of Applied Sciences, Technikum Wien, Vienna, Austria1
School of Information Engineering, Univ. of Science and Technology Beijing, Beijing1
Department of Multimedia and Graphic Arts, Cyprus University of Technology, P.O. Box 50329, 3036, Lemesos, Cyprus1
Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA1
Department of Communication Disorders and Special Education, Old Dominion University, Norfolk, VA, USA1
Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA, USA1
CSE Department, Czech Technical University, Prague, Czech Republic, horejj1@fel.cvut.cz1
ECE Department, Union College, Schenectady, New York, sadilekt@union.edu1
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Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrücken, Saarland, Germany1
School of Mathematics and Physics, Anhui University of Technology, Maanshan, Anhui, China1
Department of Rehabilitation, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China1
Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie (Sorbonne Universités), Paris, France1
Dep. Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador1
LIRIS UMR 5205, Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France1
Amazon, Berkshire, U.K.1
Computation-based Science and Technology Research Centre, The Cyprus Institute, Nicosia, Cyprus1
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Tianjin Universtiy, Tianjin, China1
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College of Computer Science, Hangzhou, China1
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Centre for Quantum Computation and Intelligent Systems, University of Technology at Sydney, Sydney, NSW, Australia1
College of Computing Science & Information Technology, Theerthankar Mahaveer University, Moradabad, India1
Department of Information Technology, Shri Ram Murti Smarak College of Engineering & Technology, Bareilly, India1
Department of Computer Science, Shri Ram Murti Smarak College of Engineering & Technology, Unnao, India1
School of Dentistry, Cardiff University, Cardiff, UK1
School of Computer Science and Informatics, Cardiff University, Cardiff, UK1
School of Engineering, Cardiff University, Cardiff, UK1
School of Engineering, Kerbala University, Karbolaa, Iraq1
UMIC Research Centre, RWTH Aachen University, Aachen, Germany1
Key Laboratory of Network Assessment Technology, Institute Of Information Engineering, Chinese Academy Of Sciences, Beijing, China1
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Toshiba Corporation, Japan1
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LISA - ISTIA, University of Angers, Angers, France1
MiraLab, University of Geneva, Carouge, Switzerland1
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Department of Computer Science, Princeton University, Princeton, NJ1
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Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK. msn@ecs.soton.ac.uk1
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Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan1
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Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran1
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KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium1
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Theoretical and Computational Neuroscience Group, Departament de Tecnologia, Universitat Pompeu Fabra, 08018 Barcelona, Spain1
ViNotion B.V., Eindhoven, The Netherlands1
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School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, China 6100641
University of Massachusetts Amherst, Amherst, MA, USA1
Microsoft & University of Massachusetts, Amherst, Redmond, WA, USA1
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Wuhan University of Technology, Wuhan China1
University of Orléans, Orléans, France1
Department of Engineering, University of Cambridge, Cambridge, U.K.1
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 309, 3nd floor, 4nd research center, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-gun, Daegu, 711-873, Republic of Korea1
Bilgisayar Mühendisliği Bölümü, MEF Üniversitesi, İstanbul, Türkiye1
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Department of Computer Science and Technology, College of Computer, National University of Defense Technology, Changsha 410073, China1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, NSW 2008, Australia1
College of Science, National University of Defense Technology, Changsha 410073, China1
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Public Service Platform of Mobile Internet Application Security Industry, Shenzhen, China1
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Computer Application Research Center, ShenZhen Graduate School, Harbin Institute of Technology, Shenzhen, China1
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Tsinghua University, Beijing, 100084, China1
DSO National Laboratories, Singapore1
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China National Institute of Standardization, Beijing, China1
Institute of Information and Control, Hangzhou Dianzi University, Zhejiang, China1
Eastman Kodak Company, Rochester, NY, USA1
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Human-Robot Interaction Research Center, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea1
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Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, UTBM, Belfort, France1
ETH Zurich, Zurich, Switzerland; KU Leuven, Leuven, Belgium. vangool@esat.kuleuven.be1
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Defence R&D Canada, Toronto, ON, Canada1
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Library, Zhejiang Wanli University, Ningbo, China1
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Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China1
A.G. Patil Institute of Technology, Solapur, India1
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Research Institute of Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China1
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Department of Geography and the Environment, University of Denver, Denver, CO, USA1
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YouTu Lab, Tencent, Shanghai, China1
NLPR-LIAMA, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
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Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia1
Nokia Technologies, Tampere, Finland1
Department of Computer, Science and Engineering, Chandy College of Engineering, Anna University, Thoothukudi, Tamil Nadu, India1
Department of Information Technology, MNM Jain Engineering College, Anna University, Chennai, Tamil Nadu, India1
Institute of Infocomm Research, A-STAR Singapore1
Department of Software Engineering, College of Computer and Information Sciences (CCIS), King Saud University, Riyadh, Saudi Arabia1
Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, Spain1
Department of Mathematics and Computer Science, Universitat de Barcelona, Barcelona, Spain1
Universitat Politècnica de Catalunya, Vilanova i la Geltrú, Spain1
Fundació Privada Sant Antoni Abat, Vilanova i la Geltrú, Spain1
DFKI and Technical University - Kaiserslautern, Kaiserslautern, Germany1
Technical University, Kaiserslautern, Germany1
Computer Science Department, IT University of Copenhagen, Copenhagen, Denmark1
Department of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, China1
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Nanjing Institute of Astronomical Optics and Technology, National Astronomical Observatories, Chinese Academy of Science, Jiangsu 210042, China1
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School of Automation, Beijing Institute of Technology, Beijng, China1
Bejing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China and School of Automation, Beijing Institute of Technology, Beijng, China1
Carnegie Mellon University and Disney Research, Pittsburgh1
Department of Mechanical Engineering, KAIST, Korea1
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Robotics Program, KAIST, Daejeon, Korea1
Centre for Intelligent Machines and Department of Electrical and Computer Engineering, McGill University, Montreal, Canada1
Information and Engineering College, Dalian University, Dalian, P. R. China1
University of California, San Diego, La Jolla1
Google Inc., Mountain View1
University of Technology at Sydney, Sydney, NSW, Australia1
Adobe Systems Incorporated, San Jose, CA 95110, USA1
Dept. of IT Engineering, SSBT's College of Engineering and Technology, Bhambori, Jalgaon1
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Computer Science & Engineering Bengal Engineering and Science University, Shibpur Howrah, India1
Electronics & communication Engineering Gurunanak Institute of Technology, Sodepur Kolkata, India1
Chinese Academy of Sciences Beijing, 100080, China1
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ITI Department Telecom Bretagne, Brest, France1
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Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Tunku Abdul Rahman University College, Wilayah Persekutuan Kuala Lumpur, Malaysia1
State Grid Liaoning Electric Power Supply CO. LTD, China1
National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan1
Adobe Systems Incorporated, San Jose, CA, 951101
Computer Science and Engineering Department, Arizona State University. hliu@asu.edu1
Computer Science and Engineering Department, Arizona State University. zhaozheng@asu.edu1
Computer Science and Engineering Department, Arizona State University. jieping.ye@asu.edu1
Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand1
Institute of Computer graphics and Image Processing, Hangzhou Dianzi University, Hangzhou, China1
State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China1
Informatics Engineering Department, Faculty of Science and Technology, University of Coimbra, Portugal1
Dept. of Applied Physics and Electronics, Umeå University, SE-901 87 Umeå, Sweden1
The Friedberg Genizah Project, Jerusalem, Israel1
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College of Computer and Information Science, Northeastern Unciversity, Boston, USA1
School of Electrical, Electronic and Computer Engineering, The University of Western Australia, 35 Stirling Highway, Perth, Australia1
Indian Institute of Technology, Madras, India1
Western Kentucky University, USA1
Microsoft, Redmond, WA1
Systems Design Engineering Department, University of Waterloo, Waterloo, Canada1
Postdoc Center of Information and Communication Engineering, Xiamen University, Xiamen, China1
University of N. British Columbia, Prince George, Canada V2N 4Z91
Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands1
Panasonic Singapore Laboratories1
ETS, Québec, Canada1
University of Oulu1
Blida University1
University of Southampton IT Innovation Centre, Southampton, UK1
Information and Communication Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
Visual Information Processing Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
Electrical Engineering Department, Xian Shiyou University, Xi’an, China1
School of Logistics, Engineering in Wuhan University of Technology, Wuhan, China1
School of Logistics, Engineering in Wuhan University of Technology Electrical and Electronic, Engineering in Hubei University of Technology, Wuhan, China1
Samsung Electronics, Yong-In, Gyeonggi-Do, Korea1
Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands1
Department of Computer Science and Engineering, POSTECH, Pohang, Korea1
Department of Computer Science, National Chung Cheng University, Chiayi, Taiwan1
Computer Vision Center, Bellaterra, Spain1
Electrical Engineering Department, Tafresh University, Tafresh, Iran1
School of Engineering, Tokyo Institute of Technology, Yokohama, 226-8502, Japan1
University of Southern California, Southern California, USA1
68129 Army, Lanzhou, China1
Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Centre de Développement des Technologies Avancées, Baba Hassen, Finland1
Department of Automation, Tsinghua University, Bejing, China1
School of Electrical Engineering, University of Ulsan, Ulsan, Korea1
Faculty of Electrical and Computer Engineering, University of Waterloo, 200 University Ave. West, ON, Canada1
Department of Electrical and Computer Engineering, University of Waterloo, 200 University Ave. West, ON, Canada1
Laboratory for Computer-Aided Circuit Design, University of Applied Sciences Aschaffenburg, Germany1
Pattern Recognition Lab, Department of Computer Science, University Erlangen-Nuremberg, Germany1
Department of Electrical Engineering, Faculty of Engineering, Aswan University, Egypt1
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China1
Sardina Systems, Tallinn, Estonia1
Department of Internal Search Platform, Tencent Inc., Shenzhen 518060, China1
Space Application Laboratory, Research Center for Advanced Science and Technology, University of Tokyo, Japan1
Department of Aeronautics and Astronautics Engineering, Graduate School of Engineering, University of Tokyo, Japan1
School of Computer and Communication Engineering, UniMAP, Malaysia1
Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kedah, MALAYSIA1
Computer Vision Group, RWTH Aachen University, D-52074, Germany1
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, NY, USA1
School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China1
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China1
School of Computer Science, University of Nottingham, Nottingham, UK1
Dipartamento di Informatica, University of Verona, Italy1
VARPA Group, University of A Coruña, Spain1
School of Electrical Engineering, Kookmin University, Seoul, Korea1
Institute of Computer Peripheral, XIDIAN University Xi'an, China1
Zhejiang Wanli University, Ningbo, China; Institute of Computer Peripheral, XIDIAN University Xi'an, China1
Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing, China1
School of Electronic Engineering and Computer Science, Queen Mary, University of London, London, UK1
Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China1
Dept. Electronics and Communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India1
A*STAR, Singapore / National University of Singapore, Singapore1
Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan1
IBM Research India, New Delhi, India1
Room PQ809, Building P, The Hong Kong Polytechnic Univ, Hung Hom, Hong Kong1
National Lab of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, P.R. China1
Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China1
Dalian Key Lab of Digital Technology for National Culture, Dalian Nationalities University, Dalian, China1
Institute of System Science, Northeastern University, Shenyang, China1
LETI-EHTP casablanca1
141
131
121
ThyssenKrupp Elevator Americas1
Harvard Medical School and Brigham and Women's Hospital, Boston, USA1
Istanbul Technical University , Istanbul, Turkey1
Harvard Medical School , Boston, USA1
The Hebrew University of Jerusalem , Jerusalem, Israel1
University College London , London, United Kingdom1
Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, China University of Mining and Technology, Xuzhou, China1
Centre de recherche de l’Institut universitaire en santé mentale de Québec, Quebec City, Canada1
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Faculté des sciences sociales, École de psychologie, Pavillon Félix-Antoine-Savard, Université Laval, Quebec City, Canada1
School of Computer Engineering, Sejong University, Seoul, 143-747, Korea1
Dept. of Computer Science, TU Kaiserslautern, Germany1
Robotics and Mechatronics Center, German Aerospace Center (DLR), Germany1
School of Mathematics and Statistics, Yunnan University, Kunming 650091, China1
CARTIF Foundation, Valladolid, Spain1
Department of Electrical & Computer Engineering, Democritus University of Thrace, Xanthi, Greece1
Department of Computer & Information Science, Norwegian University of Science and Technology, Trondheim, Norway1
Department of Electrical and Computer Engineering, University of Illinois at Urbana—Champaign, Champaign, IL, USA1
Research & Development, British Broadcasting Corporation (BBC), London, UK1
Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia1
Faculty of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China1
School of Logistics Engineering, Wuhan University of Technology, Wuhan, PR, 630047, China1
School of Mathematical Sciences, Xiamen University, Xiamen, PR, 361005, China1
Department of Statistics, The Chinese University of Hong Kong, Hong Kong, PR, China1
Wide Eyes Technologies1
Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore1
Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang, China1
Department of Surveying Engineering, Technological Educational Institution of Athens, Athens, Greece1
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Athens, Greece1
Mayo Systems Electrophysiology Laboratory, Departments of Neurology and Biomedical EngineeringMayo Clinic1
Machine Learning GroupTechnische Universität Berlin1
Ghent University, Ghent, Belgium1
Stony Brook University, New York, USA1
EECS Department at UC Berkeley, Berkeley, USA1
WILLOW Project, Département d’Informatique de l’École Normale Supérieure, ENS/INRIA/CNRS UMR 8548, Paris, France1
Air Force Research Laboratory at Rome, Rome, NY1
Department of Engineering Science, University of Oxford, Oxford, United Kingdom1
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Department of Electronic Engineering, the Chinese University of Hong Kong, Shatin, Hong Kong1
Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro No.1, Tonantzintla, Puebla, México. CP 728401
Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente 225, Gávea, Brasil1
Harbin Institute of Technology & Tsinghua University, Harbin, China1
Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
School of Information Technologies, University of Sydney, Sydney, NSW, Australia1
Malong Technologies Company, Ltd., Shenzhen, China1
The State Key Laboratory of High-end Server and Storage Technology, Jinan, China1
Department of Digit Technology, No.38 Research Institute of CETC, hefei, China1
Department of public computer teaching, Hefei Normal University Hefei, China1
Department of Electronics and Communication, Delhi Technological University (Formerly DCE), Delhi, India1
Defense Research and Development Organization, Ministry of Defense, Delhi, India1
College of Forestry, Nanjing Forestry University, Nanjing, China1
University of Washington, USA1
GE Global Research, USA1
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Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan, China1
Department of Mechanical Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka1
Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka1
Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary1
School of Computer Science, Simon Fraser University, 8888 University Dr, Burnaby, BC V5A 1S6, Canada1
Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan 48824-1226. stockman@cse.msu.edu1
Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan 48824-1226. colbrydi@cse.msu.edu1
Research Institute for Future Media Computing, School of Computer Science & Software Engineering, Shenzhen University, Shenzhen, China1
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School of Mathematical Sciences, University of Science and Technology of China, Hefei, China1
Institute of Automation, Chinese Academy of Sciences, 100083, China. E-MAIL: changping.liu@mail.ia.ac.cn1
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Harbin Engineering University, Harbin, Heilongjiang, 150001, China. E-MAIL: xugaofeng@hanwang.com.cn1
Tohoku University, Graduate School of Information Sciences, Sendai, Japan1
Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China1
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Faculty of Environmental Engineering, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka, 808-0135, Japan1
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Moscow State University, GSP-1, Moscow, Russia1
Karabuk University Turkey, Karabük1
Gaziosmanpaşa University Turkey, Tokat1
RIKEN, 7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan1
Department of Computer Science, Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan1
National Taiwan University, Taiwan1
Omron corporation, Japan1
Department of Electrical Engineering, Beckman Institute of Advanced Science and Technology, Urbana, USA1
The Open University of Japan, Chiba-shi, Japan1
Pontificia Universidad Católica del Perú -- Artificial Intelligence Research Group (IA-PUCP), Lima - Peru1
LEAR Project-Team, Inria Grenoble-Rhône-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France1
NVIDIA Research, Santa Clara, CA, USA1
Siren Solutions, Dublin, Ireland1
Paradigma Digital, Madrid, Spain1
“Grigore T. Popa” University of Medicine and Pharmacy, Iaşi, Romania1
School of Electronics Engineering, Kyungpook National University, Taegu, South Korea1
College of Animal Science, Jilin University, Changchun, China1
Editorial Department of Journal, Jilin University, Changchun, China1
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Chinese University of Hong Kong, Hong Kong, Hong Kong1
Sun Yat-sen University & Sensetime, Guangzhou, China1
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CASIA, China1
Language Technologies Institute, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA1
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Scene Understanding Group, University of Twente, Netherlands1
Department of Electronic and Telecommunication Engineering, University of Moratuwa, Katubedda, Moratuwa, Sri Lanka1
Division of Computer Engineering, Dongseo University, Busan, Korea1
Beijing Information Science and Technology University, Beijing Key Laboratory of Internet Culture and Digital Dissemination Research School of Computer Science, Beijing, China1
School of Digital Media, Jiangnan University Jiangsu Wuxi, PR China1
School of Digital Media, Jiangnan University, Jiangsu Wuxi, PR China1
No.1 Senior Middle School of Wendeng District, Weihai, China1
Standards & Metrology Research Institute of CARS, Beijing, China1
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Department of Electronics and Communication Engineering, P.S.N. College of Engineering and Technology, Tirunelveli, India1
Graduate School of System Informatics, Kobe University, Japan1
Biomedical and Multimedia Information Technology Research Group, The University of Sydney, Darlington, NSW, Australia1
School of Maths, Statistics & Computer Science, University of KwaZulu-Natal, Durban, South Africa1
Faculty of Science and Technology, Sudan University of Science and Technology, Khartoum, Sudan1
Department Of Computer Science, TU Dortmund1
School Of Computing, University Of Dundee1
Beckman Institute and Department of Computer Science, University of Illinois at Urbana-Champaign, USA1
Honda Fundamental Research Laboratories, Honda R&D Americas, Inc., USA1
Department of Computer Science, Virginia Polytechnic Institute and State University, Falls Church, Virginia, USA1
Pattern Recognition & Bio-informatics Laboratory, Delft University of Technology, Delft, The Netherlands1
CVSSP, University of Surrey, Guildford, UK1
School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
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Boston, USA1
Boston, USA1
School of Cognitive Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran1
Department of Electrical and Computer Engineering, Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran1
University of Porto, Portugal1
Federal Institute of São Paulo, Araraquara, Brazil1
School of Science, Jiangnan University, Wuxi, China1
University of York,York, YO10 5DD, UK1
Department of Computer Science, University of Copenhagen, Denmark1
Institute for Pattern Recognition and Artificial Intelligence and the National Key Laboratory of Science and Technology on Multispectral Information Processing, Huazhong University of Science and Technology, Wuhan, China1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia1
Department of Computer and Information ScienceFaculty of Science and Technology, University of Macau, Macau, China1
Advanced Technology division, Toyota Motor Europe, Japan1
Center for OPTical IMagery Analysis and Learning (OPTIMAL), State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, P. R. China1
University of Massachusetts at Amherst, Amherst, MA, USA1
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Adelaide University, Australia1
LIRIS, Département Mathématiques Informatique, Ecole Centrale de Lyon, Ecully, France1
Institute of Computer Science, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland1
Multimedia Laboratory, Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada1
Carleton University, Ottawa, ON, Canada1
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China1
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA1
Albert-Ludwigs-Universität Freiburg, Computer Science Institute, Freiburg, Germany1
Department of Electronic Engineering, University of Electronic Science and Technology of China, China1
Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany1
NeuroRx Research, Montréal, Canada1
School of Computer Science, McGill University, Montréal, Canada1
University of Central Florida, Computer Science1
Stetson University, Computer Science1
Department of Communication and Electronic Engineering, Hunan City University, Yiyang, China1
SenseTime Group Limited, Shatin, Hong Kong1
University of Pretoria, Pretoria, South Africa1
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Computer Vision and Image Understanding Department, Institute for Infocomm Research, Singapore1
Folkhalsan Research Center Helsinki, Finland1
School of Medicine Indiana University Indianapolis, IN, United States1
Department of Child Neurology HUCH Hospital for Children and Adolescents Helsinki, Finland1
School of Medicine State University of New York Buffalo, NY, United States1
Fellow, IEEE, Faculty of Computer Science, George Mason University, Fairfax, VA 22030, USA wechsler@cs.gmu.edu1
CleverSys. Inc., Isaac Newton Square, Reston, VA 20190, USA fayin.li@gmail.com1
KT Future Technology Laboratory, Seoul, South Korea1
Graduate School of Information, Production and Systems (IPS), Waseda University, Kitakyushu-shi, 808-0135, Japan1
Information, Production and Systems Research Center (IPSRC), Waseda University, Kitakyushu-shi, 808-0135, Japan1
Punjab Engineering College, Chandigarh, India1
Erciyes University, Engineering Faculty, Computer Engineering Department, 38039 Kayseri, Turkey1
Gazi University, Engineering and Architecture Faculty, Computer Engineering Department, 06570 Ankara, Turkey1
Department of Automation, East China University of Science and Technology, Shanghai, People’s Republic of China1
School of Management, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Engineering Research Center of Optical Instrument and System, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan1
Shanghai Adwanced Research Institute, Chinese Academy of Sciences, Shanghai, China, 2012101
Institute of Psychology, Chinese Academy of Sciences, Beijing, China1
College of Teacher Education, Wenzhou University, Wenzhou, China1
CAS Key Laboratory of Behavior Sciences, Institute of Psychology, Beijing, China1
Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia1
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA-100221
Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam-7880101
Information: Signals, Images, Systems (ISIS) Research Group, School of Electronics and Computer Science, University of Southampton, Southampton S017 1BJ, United Kingdom, email: msn@ecs.soton.ac.uk1
Information: Signals, Images, Systems (ISIS) Research Group, School of Electronics and Computer Science, University of Southampton, Southampton S017 1BJ, United Kingdom, email: bg@ecs.soton.ac.uk1
Beijing Key Laboratory of Network System and Network Culture, Beijing University of Posts and Telecommunications, Beijing, China1
Ozyegin University, Istanbul, Turkey1
Federal Institute of Education, Science and Technology of Paraiba -, Esperanca, Brazil1
Computer Science Department, Federal University of Campina Grande, Paraiba, Brazil1
Department of Electrical Engineering, Stanford University1
P.P.G. Institute of Technology, Coimbatore1
Dept. of ECE, Institute of Road and Transport Technology, Erode-638 316, India1
IDIAP, Martigny, Switzerland1
Department of Information Management, Hwa Hsia University of Technology, New Taipei City, Taiwan1
Department of Electronic Engineering, National Ilan University, Yilan City, Taiwan1
Princeton University, USA1
CSE & IT Department, Electrical and Computer Engineering Faculty, Shiraz University, Shiraz, Iran1
The University of Tokyo & JST PRESTO, Tokyo, Japan1
Ocean University of China, Teaching Center of Fundamental Courses, Qingdao, China1
Centre of Research in Complex Systems, Charles Sturt University, Albury, Australia, 26401
Advanced Computing Research Laboratory, Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
Department of Computer Science, Rutgers University, 110 Frelinghuysen Road, Piscataway1
Baylor College of Medicine, Houston, TX, USA1
Brown University, Providence, RI, USA1
University of Florida, Gainesville, FL, USA1
Cleveland Clinic, Cleveland, OH, USA1
Digital Technology International Group, Perth Airport, Australia1
National Taiwan University of Science and Technology, Department of Mechanical Engineering, Taiwan1
University of Tokushima, Shinkuracho, 770-8501, Japan1
Graduate School of System Informatics, Kobe University, 657-8501, Japan1
School of Electrical and Electronic Engineering, UniversitiSains Malaysia, USM Engineering Campus, 14300 NibongTebal, Pulau Pinang, Malaysia1
Computer Science Department, University of Crete, Institute of Computer Science, FORTH1
Institute of Computer Science, FORTH1
Institute of Computer Science, FORTH, Computer Science Department, University of Crete1
Information and Science Technology Institute, Peking University Shenzhen Graduate School, Shenzhen, China1
Information Network Engineering and Research Center, South China University of Technology, Guangzhou 510641, China1
School of Software, Nanchang Hangkong University1
Institute of Computer Vision, Nanchang Hangkong University1
Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education, Shenyang, China1
School of Information Science and Engineering, Northeastern University, Shenyang, China1
College of Engineering, Swansea University, UK1
School of Information and Control engineering, Liaoning Shihua University, China1
Neptec Design Group Ltd, Kanata, Canada1
Signal Network Technology Pty Ltd, Sydney, Australia1
Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia1
Department of Medical and Molecular Biosciences, University of Technology Sydney, Sydney, Australia1
Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, Australia1
Dept. of Comput. Sci., Chicago Univ., IL, USA1
Griffith School of Engineering, Queensland Research Laboratory, National ICT Australia, Griffith University, Nathan, Australia1
Queensland Research Laboratory, National ICT Australia and Institute for Integrated and Intelligent Systems, Griffith University, Nathan, Australia1
Neptec Design Group Ltd, Kanata, Ontario K2K 1Y5, Canada1
School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel1
Yahoo Research Labs, Haifa, Israel1
Weizmann Institute, Rehovot, Israel1
Institute of Cognitive and Brain Sciences, University of California, Berkeley, USA1
Tel Aviv University, Tel Aviv, Israel1
Computer Science Department, University of California, Los Angeles, USA1
University of Nebraska-Lincoln, Lincoln, USA1
Department of Cognitive Sciences, Education and Cultural Studies, University of Messina, Messina, Italy1
Department of Mathematics, Lahore School of Economics, Lahore, Pakistan1
UTM-IRDA Digital Media Centre, Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Departments of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD1
Multimedia Signal Processing Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
University of Tunis El Manar, Tunis, Tunisia1
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, China1
School of Computer Science and Technology, and the Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, China1
University of Vermont, Burlington, VT, USA1
Center for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia1
Department of Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany1
College of Information and Control Engineering, China University of Petroleum, Qingdao, China1
Intel Labs Europe, Pipers Way, Swindon1
College of Computer Science and Technology, Guizhou University, Guiyang, China1
School of Management, Dalian University of Technology, Dalian, Liaoning Province, China. lihui@ln.chinamobile.com1
Visual Computing Group, Microsoft Research Aisa1
Visual Computing Group, Microsoft Research Asia1
Department of Electronics and Instrumentation, Birla Institute of Technology and Science, Pilani, India1
Jiangsu Province Traditional Chinese Medicine Hospital, Nanjing, China1
Department of Communication Engineering, Nanjing Institute of Technology, Nanjing, China1
Department of Computer Science and Engineering, Lehigh University, Bethlehem, USA1
Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China1
School of Electrical Engineering and Automation, Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin, China1
DIMAp/UFRN, Natal, Brazil1
Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, New Jersey, 070301
Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 028811
Vulcan Inc, Seattle, WA 981041
Department of Computer Science, Hofstra University, Hempstead, NY 115491
University of Western Australia, Crawley, Australia1
Umm Al-Qura University, Makkah, Saudi Arabia1
School of mechanical and power engineering, Hennan Polytechnic University, Jiaozuo, China1
Institute of Information Technology (Comm. Electronics), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany1
ETS Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid1
Columbia University, USA1
School of computer Science and Engineering, Nanyang Technological University, Singapore1
Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore1
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India1
York University, Toronto, ON, Canada1
Academia Sinica, Taiwan1
Key Laboratory of Machine Perception (MOE), School of EECS, Peking University, China1
School of Software, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
UNSW, Sydney, Australia1
Department of Electronics and Electrical Engineering, Chung-Ang University, Seoul, Korea1
Department of Computer Science and Engineering, Chung-Ang University, Seoul, Korea1
Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore1
Department of Information Technology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore-461
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Asiatech College, City of Sta. Rosa, Laguna, Philippines1
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines, Oriental Mindoro, Philippines and John Paul College MG Andaya Compound, Oriental, Mindoro, Philippines1
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Lyceum of the Philippines University - Laguna, Calamba City Philippines1
Australian National University, Canberra, ACT, Australia1
School of Automation, Beijing Institute of Technology, Beijing, China1
Key Laboratory of Intelligent Information Process, Chinese Academy of Sciences, Beijing, China1
College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
COMSATS, Institute of Information Technology, Sahiwal, Pakistan1
National University of Computer and Emerging Sciences, Islamabad, Islamabad, Pakistan1
Department of Radiology, Mount Sinai West, New York, USA1
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, USA1
Yahoo, Sunnyvale, CA, USA1
Bell Labs, Cambridge, United Kingdom1
Institute of Forensic Medicine, University of Southern Denmark, Odense, Denmark1
INESC TEC, Universidade do Porto, Porto, Portugal1
Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada1
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong1
Noah’s Ark Laboratory, Hong Kong1
Noah.s Ark Laboratory and Hong Kong University of Science and Technology, Hong Kong1
School of Electronic, Electrical Engineering and Computer Science, The Queens University, Belfast, Northern Ireland1
Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia1
La Trobe University, Melbourne, Australia1
BITS Pilani, India , India1
Staqu Technologies1
Department of Computer Engineering Faculty of Engineering, MUT1
Department of Computer Engineering Faculty of Engineering, NPU1
Department of Electrical Engineering, Rio de Janeiro State University , Rio de Janeiro, Brazil1
Department of Electrical and Computer Engineering, Democritus University of Thrace, Thrace, Greece1
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece1
Department of Health Sciences, University of Leicester, Leicester, Unithed Kingdom1
Department of Civil, Environmental & Geomatic Engineering, University College London, London, Unithed Kingdom1
Physiotherapy Department, Maidstone & Tunbridge Wells NHS TrustTN2 4QJ1
Institute for Information Industry, Taipei City, Taiwan1
Department of Digital Humanities, Aletheia University, New Taipei City, Taiwan1
Raytheon BBN Technologies, Cambridge, MA1
Dept. School of Optoelectronic Information, University of Electronic Science and Technology of China Chengdu, China1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China1
Institute of Measurement and Control Systems at Karlsruhe Institute of Technology, Karlsruhe, Germany1
Microelectronics and Control Systems, PES Institute of Technology Bangalore, Karnataka, India1
Dept. of Electronics & Instrumentation Engineering, University B.D.T. College of Engineering, Davanagere, Karnataka, India1
Dept. of Biomedicai Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India1
SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain1
AI Laboratories, Alibaba Group, Hangzhou, China1
Centrum Wiskunde & Informatica, Amsterdam, Netherlands1
DAUIN, Politecnico di Torino, Turin, Italy1
Intel Labs, Banglore, Karnataka, India1
National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, China1
School of Mathematics and Statistics, Northeast Normal University, Changchun, China1
Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, China1
Department of Science Program, Texas A&M University at Qatar, Doha, Qatar1
School of Mathematics, Southeast University, Nanjing, China1
Dhofar University, Oman1
Université de Jendouba, Faculté des Sciences Juridiques, Economiques et de Gestion de Jendouba, Tunisia1
Department of Computer Science & Information Engineering, Shu-Te University, Taiwan1
Department of Drama and Theatre, National Taiwan University, Taiwan1
Shenzhen Institute of Advanced Technology1
Telecom Division, Centre de Développement des Technologies Avancées, Algiers, Algeria1
Center for Machine Vision Research, Computer Science and Engineering, University of Oulu, Oulu, Finland1
Department of Computer Science Faculty of Computers and Information, Mansoura University, Mansoura, Egypt1
Department of Mathematics and Computer Science, University of Missouri-St. Louis, St. Louis, USA1
Department of Statistics, University of Nebraska-Lincoln, Lincoln, USA1
Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China1
Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China1
Texas A&M University at Qatar, Doha, Qatar1
Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland1
Chair of Control and Systems Engineering, Poznan University of Technology, Poznan, Poland1
Department of Computer Engineering, The University of Isfahan, Isfahan, Iran1
State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi, 710119, P.R. China1
Computational Biomedicine Laboratory, Department of Computer Science, University of Houston, Houston, TX1
University of North Carolina at Chapel Hill, Chapel Hill, USA1
University of Illinois at Urbana Champaign, Urbana, USA1
Italian Institute of Technology, Milan, Italy1
Dept. of CSE CEC, Landran, Mohali, India1
Institute of Intelligent Vehicle, Tongji University, Shanghai, China1
Northwestern Polytechnical University, Xi’an, China1
NPU-VUB Joint AVSP Research lab, Vrije Universiteit Brussel(VUB), Pleinlaan 2, Brussels, 1050, Belgium1
Samsum R&D, Institute China-Beijing, Floor 18, Sun Palace Building, 12A Sun Palace Road, Chaoyang District, Beijing, 100020, China1
Synthes GmbH, Langendorf, Switzerland1
Computer Aided Medical Procedures (CAMP), TU Munich, Munich, Germany1
ImFusion GmbH, Munich, Germany1
School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China. E-MAIL: ydding@yc.shu.edu.cn1
School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China; Department of Information and Electrical Engineering, Shaoyang University, Shaoyang 422000, China. E-MAIL: huang_tongcheng@163.com1
Information and Communication Engineering, Rajshahi University1
Gippsland School of Information Technology, Monash University1
Key Lab Complex System & Intelligence Science, Institute of Automation, Chinese Academy of Science, Beijing, China1
College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China1
Osaka University, 1-1 Yamada-oka, Suita, Japan1
Osaka Electro-Communication University, 18-8 Hatsucho, Neyagawa, Japan1
LIRE Laboratory, University of Constantine 2, Algeria1
TLSI Department, NTIC faculty, University of Constantine 2, Algeria1
Technical Reconnaissance Detachment of Public Security Bureau Lanzhou, Lanzhou, China1
School of Information Science and Technology, University of Science and Technology of China, Anhui, China1
Department of Automation, University of Science and Technology of China, Anhui, China1
Philips Applied Technologies, Eindhoven, Netherlands1
Philips Research Eindhoven, Eindhoven, Netherlands1
Department of Electrical & Computer Engineering, University of Alberta, Edmonton T6R 2V4, Canada1
SAP Innovation Center Networks, Singapore1
Zuse Institute Berlin, Berlin, Germany1
Yahoo Research, Sunnyvale, CA, USA1
Yahoo Research, New York City, NY, USA1
Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada1
VIVA Research Laboratory, School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada1
School of mathematics and statistics, Shaoguan University, Shaoguan, China1
Department of Information Technology, Mahanakorn University of Technology, Nong Chok, Thailand1
Informatics and Telematics Institute, CERTH, Thessaloniki, Greece1
Advanced Machine Intelligence Research Laboratory, Department of Computer Engineering, Mahanakorn University of Technology, Nong Chok, Thailand1
Department of Informatics, King’s College London, London, UK1
Department of Electrical Engineering, KAIST, Korea1
Electronic R&D Center, Mando Corp., Korea1
Department of New Media, Korean German Institute of Technology, Korea1
SAIT Beijing Lab, Samsung Advanced Institute of Technology, China1
Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea1
Department of Electrical, IT & Computer Sciences, Qazvin Islamic Azad University, Qazvin, Iran1
Department of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran1
Department of Electrical Engineering, Amirkabir University of Technology, Teharan, Iran1
Dept. of Applied Mathematics, Xidian University, Xi'an, China1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, rbd@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, tfq@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, msb@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, kbrady@ll.mit.edu1
Lund University, Centre for Mathematical Sciences, Box 118, SE-22100, Sweden1
Malmö University, Applied Mathematics Group, Östra Varvsgatan 11A, 20506, Sweden1
Biostatistics & Medical Informatics, and Computer Sciences, Univ. of Wisconsin-Madison, USA1
Haas School of Business, and Industrial Eng. and Operations Research, Univ. of California, Berkeley, USA1
VDG Security B.V., Zoetermeer, The Netherlands1
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: tokuda@ics.nitech.ac.jp1
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: nankaku@ics.nitech.ac.jp1
DST INSPIRE Fellow, Department of Computer Science and Engineering, Jadavpur University, Kolkata, India1
B-DAT, School of Information and Control, Nanjing University of Information Science and Technology, Nanjing, China1
Mobile Communications Department, Eurecom, Biot, France1
STARS Team, Institut National de Recherche en Informatique et en Automatique, Sophia Antipolis, France1
Multimedia Laboratory, School of Computer Science and Engineering, Nanyang Technological University, Singapore1
South China Agriculture University, Dept. of Computer Science and Technology, Guangzhou, China1
University of Cambridge, UK1
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China1
School of Communication and Information Engineering Shanghai University Shanghai, China1
Centre of Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan1
Advanced Research Institute, Institute for Information Industry, Taipei, Taiwan1
SRI International, 201 Washington Road, Princeton, NJ, USA1
LAMIA, EA 4540, University of French West Indies and Guyana, Guadeloupe, France1
ISIR, UPMC Univ Paris 06, CNRS, Paris, France1
Advanced Electronics System, Academy of Scientific and Industrial Research, CSIR-Central Electronics Research Institute, Pilani, India1
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10., czuni@almos.vein.hu1
System and Computer Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt1
Department of Computer Information Science, University of Massachusetts Dartmouth, Dartmouth, MA1
School of ITER, The University of Queensland, Australia1
Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia1
University of Aberdeen1
School of Electronics and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China1
Department of Mathematics and Computer Science, École centrale de Lyon, Écully, France1
Center for Image and Information, Processing, Xi'an University of Posts and Telecommunications1
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China1
Faculty of Electrical and Computer Engineering Urmia University1
Research Scholar, MPSTME, SVKM's NMIMS University, SFIT Borivalli(W) ,Mumbai 400 103, India1
MPSTME, SVKM's NMIMS University, Vile-Parle (W), Mumbai 400 056, India1
CSE dept., Green University of Bangladesh, Dhaka, Bangladesh1
CS dept., National Institute of Development, Administration, Thailand1
CSE dept., Stamford University Bangladesh, Dhaka, Bangladesh1
PLA University of Science and Technology, China1
PLA University of Science and Technology, China and State Key Lab. for Novel Software Technology, Nanjing University, China1
College of Computer and Information, Hohai University, China and Key Lab. of Image and Video Understanding for Social Safety, Nanjing University of Science & Technology, China1
Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore1
Parrot S.A. 174 quai de Jemmapes, 75010 Paris, France1
Center for Visual Information Technology, International Institute of Information Technology, Hyderabad, India1
School of Cyber Engineering, Xidian University, Xi’an, China1
Nokia Research Center, Beijing, 100084, China1
Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK; Machine Vision and Pattern Recognition Research Group, Lappeenranta University of Technology, Finland1
Vols Taipei1
Instituto Tecnológico de Tijuana, Tijuana, México1
Multimedia and Vision Research Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK1
School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia1
RWTH Aachen University, Aachen, Germany1
Department of Rehabilitation, Shanghai Tenth People’s Hospital, Shanghai, China1
Beijing Institute of Remote Sensing Information, Beijing, China1
Department of Electrical Engineering, University of Tulsa, Tulsa, USA1
Signal Theory and Communications Department, University of Vigo, jalba@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, lpfreire@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, pcomesan@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, fperez@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, danisub@gts.tsc.uvigo.es1
School of Electronics Information Engineering, Tianjin University, Tianjin, China1
LIGM (UMR CNRS), École des Ponts ParisTech, Université Paris-Est, France1
Équipe Galen, INRIA Saclay, Île-de-France, France1
Center for Visual Computing, École Centrale Paris, France1
Department of Information Engineering, HeNan Radio and Television University, Zhengzhou, People’s Republic of China1
School of Computer and Information Science, Southwest University, Chongqing, People’s Republic of China1
School of Computer Science and Engineering, Center for Robotics, Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China1
Universiti Kuala Lumpur, Kedah1
Department of Cognitive Science, Fujian key laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen, China1
ITEE, The University of Queensland, Australia1
Indian Institute of Science, Bangalore, India. lkrao@isu.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. krr@ee.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. saisiva@isu.iisc.ernet.in1
Indian Institute of Science, Bangalore, India. jayyagnik@rishi.serc.iisc.ernet.in1
Department of Computer Science, Shandong University at Weihai, China1
School of Computer Science and Information Systems, Birkbeck College, London, UK1
CSEE Department, University of Missouri Kansas City, Kansas City, USA1
College of Information Engineering, Northwest A&F University, Yangling, China1
IRIT-ENSEEIHT, FRANCE1
LEAR Group, INRIA Grenoble Rhône-Alpes, Montbonnot, France1
Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.1
Dept. of Electronics and Communication Engg. M.S. Ramaiah Inst. of Tech. Bangalore-560054, India1
Department of Psychology, University of Florida, Gainesville, USA1
Department of Psychology, Ohio University, Athens, USA1
Mar-Baselious Institute of Technology & Science, Kothamangalam, Kerala, India1
Mahatma Gandhi University, School of Computer Sciences, Kottayam, Kerala, India1
Oxford Brookes University and Sony Computer Entertainment, London, UK1
Institute of Digital Media and Design, Beijing University of Posts and Telecommunications, Beijing, China1
Beijing Key Laboratory of Network System and Network Culture, Institute of Digital Media and Design, Beijing University of Posts and Telecommunications, Beijing, China1
Department of Computer Science and Information Engineering, National Taiwan University, Taiwan1
Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, H3G 1T7, Canada1
Department of Electrical and Computer Engineering, Concordia University, QC, Canada, H3G 1T71
Laboratoire Jean Kuntzmann, B.P. 53, 38041 Grenoble Cedex 9, France1
Eskisehir Osmangazi University, Meselik Kampusu, 26480, Turkey1
Dept. of Computer Science, Jinan University, Guangzhou, China, 5106321
Computer Engineering Department, Istanbul Technical University, Turkey1
Signal Processing Lab (LTS5), École Polytechnique, Fédérale de Lausanne, Switzerland1
Computer Engineering Department, Bogazici University, Istanbul, Turkey1
Universitat Oberta de Catalunya, Barcelona, Spain1
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada1
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada1
Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China1
Université Grenoble Alpes, Irstea, UR ETGR, St-Martin-d’Hères, France1
Laboratoire Hubert Curien UMR 5516, UJM-Saint-Étienne, CNRS, IOGS, Université de Lyon, Saint-Étienne, France1
Department of Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genoa, Italy1
Image, Video and Multimedia Systems Laboratory, School of Electrical & Computer Engineering, National Technical University of Athens, Athens, Greece1
The School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China1
Department of Electrical Engineering, Ferdowsi University of Mashhad, Iran1
Dept. of CS & IT, Jaypee Institute of I.T., Noida, India1
School of Engineering & Sciences, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
School of Information Technology in Education, South China Normal University1
Hainan University, China1
Nissan Research Center, Silicon Valley, USA1
TAMS, Department of Informatik, University of Hamburg, Vögt-Kölln-Straße 30, 22527, Hamburg, Germany. Email: zhang@informatik.uni-hamburg.de1
Department of Computer Science and Technology, State Key Lab of Intelligent Technology and System, Tsinghua University, 100084, Beijing, China. Email: dcszb@mail.tsinghua.edu.cn1
Department of Computer Science and Technology, State Key Lab of Intelligent Technology and System, Tsinghua University, 100084, Beijing, China. Email: wdong01@mails.tsinghua.edu.cn, dcszb@mail.tsinghua.edu.cn1
College of Computer Science and Technology, Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Zhejiang University, Hangzhou, China1
Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, USA1
Department of Computer Science & Engineering, National Institute of Technology Rourkela, Odisha, India1
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA1
School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China1
Department of Electronic Engineering, East China Normal University, Shanghai, P.R. China1
IBM T. J. Watson Research Center, Hawthorne, NY, USA1
Computer Sciences Department, University of Wisconsin-Madison, Madison, WI, USA1
Department of Computer Science, University of Bucharest, Bucharest, Romania1
Faculty of Math. and Computer Science, University of Bucharest, Bucharest, Romania1
Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands1
Georgia Tech, Atlanta, GA, USA1
Indian Institute of Information Technology & Management, Gwalior, India1
B. S. A. College of Engineering & Technology Mathura, India1
Washington University in St. Louis, St. Louis, USA1
Computer Vision and Remote Sensing, Berlin University of Technology, Berlin, Germany1
Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia1
Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, Lublin, Poland1
Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France1
King Abdullah University of Science and Technologh, V.C.C. Research Center, Thuwal, Saudi Arabia1
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, P.R. China1
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France1
Key Laboratory of Measurement and Control for Complex System of Ministry of Education, Southeast University, Nanjing, China1
Department of Automation, Southeast University, Nanjing, China1
Computer Science and Engineering Department, University of Texas at Arlington, Arlington, TX, USA1
Centre for Quantum Computation & Intelligent Systems, University of Technology, Sydney, Australia1
Application Innovation Consultant with IBM, Taipei, Taiwan1
INSA CVL, Univ. Orléans, PRISME EA 4229, Bourges, France1
Department of Applied Math., Islamic Azad University, South Tehran Branch, Tehran, Iran1
Department of Electrical Engineering, Islamic Azad University, South Tehran Branch, Tehran, Iran1
Young Research Club, Islamic Azad University, South Tehran Branch, Tehran, Iran1
Dept. of Computer Science and Technology University of Bedfordshire United Kingdom1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. eackot@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. bapp0001@ntu.edu.sg1
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. exdjiang@ntu.edu.sg1
Dept of ECE, KCG college of Technology Chennai, India1
Dept of ECE, Krishnasamy College of Engg and Technology, Cuddalore, India1
School of Electronics Engineering, Bharath University, Chennai, India1
University of Nottingham (Malaysia Campus), Malaysia1
Gipsa-Lab, Saint Martin d’Heres, France1
ICA Laboratory, Grenoble, France1
Faculty of Engineering and Information Technology, Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Sydney, NSW, Australia1
Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China1
Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China1
Dept. of Radiation Oncology, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA1
Dept. of Electrical & Computer Engineering, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA1
Department of Computer Science and Information Engineering, Chien Hsin University of Science and Technology, Taoyuan, Taiwan1
Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen, China1
IIIT Hyderabad, 500032, A.P, India1
School of Computing and Electrical Engineering, IIT Mandi, H.P, 175001, India1
CEA, LIST, Vision and Content Engineering Laboratory, Gif-sur-Yvette, France1
INRIA, Montbonnot, France1
Institute of Industrial Science, The University of Tokyo, Japan1
California Institute of Technology, Pasadena, USA1
Dept. of Computer Science, University of North Carolina, Chapel Hill, USA1
CSE Department, Regional Campus, Anna University, Tirunelveli, India1
Film Department ELTE University, Budapest, Hungary1
Atos Turkey, Ankara, Turkey1
Defence Research and Development Canada, Toronto, Ontario1
United States Air Force Research Laboratory, Dayton, OH1
Army Research Laboratory, Sensors and Electron Devices Directorate1
Faculty of the Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China1
school of Software Engineering, Xi’an Jiaotong University, Xi’an, China1
School of Electronic Information Engineering, Hebei University of Technology, Tianjin, China1
Institute of High Performance Computing, National University of Singapore, Singapore1
Department of Research and Development, NanTong Memtech Technology CO., LTD, Nantong, Jiangsu Province, 226003, China1
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada1
Research Center of Information and Control, Dalian University of Technology, Dalian, China1
Graphics an Media Laboratory, Faculty of Computational Mathematics and Cybernetics, Moscow State University, Moscow, Russia1
Chinese Academy of Sciences, Institute of Automation, Beijing, 100190, China1
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, China1
Toyota Research Institute, Ann Arbor, USA1
Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China1
Department of Electrical and Computer Engineering, and director of CyLab Biometrics Center, Carnegie Mellon University, USA1
Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA1
University of Illinois at Urbana Champaign, Urbana1
Nanyang Technological University and Advanced Digital Science Center, Singapore1
Department of Clinical Psychology and Psychotherapy, University of Hamburg, Hamburg, Germany1
Tsinghua University, Beijng, China1
Medical Psychology, Ulm University, Ulm, Germany1
University of Puerto Rico Bayamon, Bayamon, Puerto Rico1
Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain1
Electrical Engineering Department, University of California, Santa Cruz, USA1
Information Access Division, National Institute of Standards and Technology (NIST), Gaithersburg, USA1
MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Shanghai Jiao Tong University, Shanghai, China1
Department of Computer Science and Engineering, Center for Brain-Like Computing and Machine Intelligence, Shanghai Jiao Tong University, Shanghai, China1
Tsukuba University, Tsukuba, Japan1
Laboratoire Jean Kuntzmann, Univ. Grenoble Alpes / CNRS, Grenoble, France1
SafranTech, Safran, Magny-les-Hameaux, France1
School of Finance and Statistics, East China Normal University, China1
Department of the Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, 305-701, Korea1
Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea1
University of British Columbia (Okanagan), Kelowna, BC, Canada1
Nippon Soken, Nishio, Japan1
Ascent Robotics, Tokyo, Japan1
Faculty of Information Technology, University of Moratuwa1
Department of Informatics, University of Oslo, Norway1
CERCIA, School of Computer Science, University of Birmingham, UK1
Austrian Institute of Technology, Austria1
Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia1
College of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, China1
College of Electronic and Information Engineering, Sichuan University, Chengdu, Sichuan, China1
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA1
Neuropsychiatry Section, Department of Psychiatry, University of Pennsylvania1
Department of Psychology, University of Illinois at Chicago, Chicago, IL1
Department of Mathematics and Computer Science, Ursinus College, Collegeville, PA1
Dept. Electronic Engineering, National University of Ireland, Galway1
Northwestern Polytechnical University1
Centre for Vision, Speech and Signal Processing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, United Kingdom1
Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China1
Meiji University, School of Science and Technology, 1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa, 214-8571, Japan1
Department of Electrical and Computer Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA1
Indian Institute of Information Technology, Allahabad - India 1404131
ECE Department, Union College Schenectady, NY 12308, USA1
Department of Psychology, Washington University in St Louis, St Louis, USA1
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, USA1
Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia1
Minneapolis, USA1
Applied Mathematics, University of Washington, Seattle, Washington United States1
UBTech Sydney Artificial Intelligence Institute, The University of Sydney, Darlington, NSW, Australia1
Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Kanagawa, Japan1
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Kanagawa, Japan1
Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong1
College of Optoelectronic Engineering, Shenzhen University, Shenzhen, China1
Dept. of Software Engineering, ShenZhen Polytechnic, 518055,China1
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, USA1
Department of Energy Plant Research Laboratory, Michigan State University, East Lansing, USA1
EURECOM, Route des Chappes, France1
School of Mathematical Science, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China1
Dept. of Electronics Engineering Indian Institute of Technology (BHU), Varanasi1
Department of Electrical and Computer Engineering, College of Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA, USA1
Department of Computer and Information Science, College of Engineering, University of Massachusetts Dartmouth, North Dartmouth, MA, USA1
Dept. of Electrical Engineering, Princeton University, USA.1
Institut de Robòtica i Informàtica, Industrial (CSIC-UPC), Spain1
Artesian Insights, Houston, USA1
Texas A&M AgriLife Blackland Research and Extension Center, Temple, USA1
Department of Ecosystem Science and Management, Texas A&M University, College Station, USA1
North Acton, London1
Electrical Engineering and Computer Science, Graduate School of Science and Technology, Kumamoto University, Japan1
Electrical Engineering Department, Engineering Faculty, Mataram University, Indonesia1
Department of Informatics, ISEE, Kyushu University, Fukuoka, Japan1
Graduate School of Systems Life Sciences, Kyushu University, Fukuoka, Japan1
The University of Western Australia Crawley, Western Australia1
Department of ECE, University of Dayton, Dayton, OH, USA1
ODU Vision Lab, Old Dominion University, Norfolk, VA, USA1
Forensics and Security Laboratory, School of Computer Engineering, Nanyang Technological University, Singapore1
New Delhi, India1
MSIT, C-4 Janakpuri1
ECE Department, MSIT, C-4 Janakpuri, New Delhi, India1
University of Rhode Island, Kingston, USA1
Electrical Engineering Department, National Cheng Kung University, Taiwan1
ETH Zürich, Photogrammetry and Remote Sensing Group1
TU Darmstadt, Computer Science Department1
School of Mathematical Sciences, Fudan University, China1
Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000 Kulim, Kedah, Malaysia1
School of Computer and Communication Engineering, UniMAP, Perlis, Malaysia1
University of Hail, Saudi Arabia1
College of information engineering, Sichuan Agricultural University, Yaan 625014, P.R. China1
School of Computer Science, Sichuan University, Chengdu, China, 6100651
School of Computer Science, Chengdu University of Information Technology, Chengdu, China, 6102251
INRIA Grenoble, LEAR - LJK, Montbonnot, France1
Department of Computer Science, Brown University, Providence Rhode Island, 02912, USA1
Institute of Real Time Learning Systems, Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany1
Mechatronics Group, Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand1
Guangdong Key Lab of Information Security, Sun Yat-Sen University, School of Data and Computer Science, Guangzhou 510006, China1
Commonwealth Scientific and Industrial Research Organization (CSIRO)1
University of Canberra, Austrlia1
Shenzhen Graduate School, Harbin Institute of Technology, 518055, China1
Research Institution of Intelligent Control and Testing, Graduate School of Tsinghua University at Shenzhen, 518055, China1
Rakuten Institute of Technology, Singapore 0489461
Department of Information Technology, Delhi Technological University, Delhi, India1
Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India1
Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY1
International Institute of Information Technology, Hyderabad, Telangana, India1
School of Information Engineering, North China University of Technology, China1
Department of Electronic Engineering, National Chin-Yi University of Technology, Taiping City, Taiwan, R.O.C.1
Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, R.O.C.1
Institute of Photonics and Communications, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, R.O.C.1
Human Language Technology Department, Institute for Infocomm Research, Singapore1
GIPSA-lab, Grenoble, France1
ACROE-ICA, Grenoble, France1
Department of Computer Science and Technology, Tsinghua University1
Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, United States1
Department of Computer Science and Information Engineering, National Taipei University, Taipei, Taiwan1
Department of CSE, PDPM-IIITDM, Jabalpur1
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 6375531
College of Opto-electronic Engineering, The Key Laboratory for Opto-electronic Technology & Systems of Ministry of Education, Chongqing University, Chongqing, 400044, China. Email: ymwen@cqu.edu.cn1
College of Opto-electronic Engineering, The Key Laboratory for Opto-electronic Technology & Systems of Ministry of Education, Chongqing University, Chongqing, 400044, China.1
University of Pittsburgh, PA 15260, USA1
Istituto Italiano di Tecnologia & University of Verona, Genoa & Verona, Italy1
Istituto Italiano di Tecnologia & University of Genoa, Genoa, Italy1
Istituto Italiano di Tecnologia, Genoa, Italy1
Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign (UIUC), USA1
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Coventry, UK1
Department of Photogrammetry, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China1
Arizona State University, Phoenix, AZ, USA1
Electrical Engineering Department, Faculty of Engineering, Higher Educational Complex of Saravan, Saravan, Iran, 99516341451
Research Institute for Nanodevice and Bio Systems, Hiroshima University, Higashi-Hiroshima, Japan1
HiSIM Research Center, Hiroshima University, Higashi-Hiroshima, Japan1
Graduate School of Advanced Sciences of Matter, Hiroshima University, Higashi-Hiroshima, Japan1
Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Japan1
Institute of Engineering, Hiroshima University, Higashi-Hiroshima, Japan1
NICTA, Canberra Research Laboratory, Canberra, Australia1
Computer Vision Center, Campus UAB, 08193, Bellaterra, Spain1
Department of Computer Science and Information Engineering (DISI), Trento, Italy1
Department of Electrical and Information Engineering, University of Perugia, Perugia, Italy1
Department of Computer Science, University of Western Ontario, London, Canada1
School of Computer Science, Sichuan University Chengdu, China1
Machine Intelligence Laboratory, School of Computer Science, Sichuan University Chengdu, China1
Machine Intelligence Laboratory, College of Computer Science, Sichuan University Chengdu, China1
Department of Mathematics, Colorado State University, Fort Collins, CO 80523, USA1
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh PA 15213. msavvid@ri.cmu.edu1
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh PA 15213. rbhagava@andrew.cmu.edu1
Department of Research, the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
Research Science, Facebook, United States1
Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal1
Imperial College, London, England1
Kingston University, Kingston upon Thames, England1
Anhui University, HeFei, China and Chinese Academy of Sciences, Beijing, China1
Department of Information Management, Yuan Ze University, Taoyuan, China1
University of Pittsburgh, USA1
Faculty of Engineering and the Built Environment, University of Johannesburg, Auckland Park, South Africa1
Department of Computer Engineering, Polytechnique Montréal, Montréal, QC, Canada1
Kiwi Technology Inc., Nanjing, China1
Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing, China1
University at Buffalo, The State University of New York, Buffalo, NY, USA1
Department of Geography Information Science, Honors College, Nanjing Normal University Nanjing, Jiangsu, 210023, China1
Nanyang Technological University, Centre for Multimedia and Network Technology (CeMNet), School of Computer Engineering, Singapore1
Center for Optical Imagery Analysis and Learning, School of Computer Science, Northwestern Polytechnical University, Xi’an, China1
Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China1
Elektrik ve Elektronik Mühendisliği Bölümü, TED Üniversitesi, Ankara, Türkiye1
The State Key Laboratory of Integrated Services Networks (ISN), Xidian University, Xi’an, China1
Department of Electronic and Engineering, Xidian University, Xi’an, China1
School of Information Science and Engineering, YanShan University, Qinhuangdao, China1
Graduate School of Information, Production and System, Waseda University, Tokyo, Japan1
Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia1
Computer Engineering Department, SVNIT, Surat, India1
Computer Engineering Department, B. V. M Engineering College, Vallabh Vidyanagar, India1
Technology School of Navigation, Wuhan University of Technology, Wuhan, People’s Republic of China1
School of Computer Science and Technology, Wuhan University of Technology, Wuhan, People’s Republic of China1
Institute for Deep Learning, Baidu, Sunnyvale, CA, USA1
Microsoft Advanced Technology Center, Beijing, China1
Department of Computer Applications, Guru Nanak Institute of Management and Technology, Ludhiana, India1
Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy1
Cadres Online Learning Institute of Yunnan Province, Yunnan Open University, Kunming, China1
National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China1
VTT Technical Research Centre of Finland, Oulu, Finland1
Visual Information Processing, Department of Computing, Imperial College, London, UK1
College of Engineering, Huazhong Agricultural University, Wuhan P.R. China 4300701
School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea1
Department of Computer Science, University of Kiel, Kiel, Germany1
Computer Science Department 5, University of Erlangen-Nürnberg, Erlangen, Germany1
Department of Mathematics and Computer Science, University of Münster, Münster, Germany1
Army Research Office, RTP, Raliegh, NC, United States of America1
Intel Corporation & Portland State University, Hillsboro, OR, USA1
Synergy Innovation Center, Communication University of China1
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ.1
School of Data and Computer Science, Sun Yat-sen University1
University of Piraeus, Dept. of Digital Systems, Grigoriou Lambraki, Piraeus, Greece1
Shaanxi Normal University, Xi’an, China1
School of Computer Science and Engineering, Center for Cyber Security, University of Electronic Science and Technology of China, Chengdu, China1
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea1
Yahoo! Research, Sunnyvale, CA, USA1
Yahoo! Research, San Francisco, CA, USA1
National Technical University of Athens & Yahoo! Research, Athens, Greece1
Smart Network Software Development Department, SHARP Corporation, Higashihiroshima, Hiroshima 739-0146, Japan1
The Pennsylvania State University Applied Research Laboratory, University Park, Pennsylvania, USA1
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA1
Max Planck Institute for Intelligent Systems, Perceiving Systems Department, 72076 Tübingen, Germany1
Department of Computer Science, Memorial University of Newfoundland, St. John’s, Canada1
Computer Science Department, Carnegie Mellon University. tk@cs.cmu.edu1
Computer Science Department, Carnegie Mellon University. epxing@cs.cmu.edu1
Computer Science Department, Carnegie Mellon University. gu@cs.cmu.edu1
LIVIC (INRETS/LCPC), 14 route de la minière, building 824, 78000 Versailles - Satory, France1
NVIDIA Research, New York, NY, USA1
The Graduate Center, CUNY, New York, NY, USA1
IASRG Lab, 4th Floor, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia1
Div. of Electrical Electronics and Control Engineering, Kongju National University, Kongju, Republic of Korea1
Image Understanding and Knowledge-Based Systems Group, Technische Universität München, Garching, Germany1
Microsoft Research, Beijing 100080, China1
LITIV, Polytechnique Montréal, Montréal, Canada1
School of Journalism and Communication, South China University of Technology, Guangzhou, China1
Department of Exceptional Education, Buffalo State University (SUNY), Buffalo, New York, USA1
Children’s Guide Foundation Autism Spectrum Disorder Center, Buffalo, NY, USA1
Air Force Research Lab, Rome, USA1
Department of Chemical Equipment and Control Engineering, China University of Petroleum, Qingdao, China1
Dept. of Electronics Engineering, Erciyes University, Kayseri, Turkiye1
TÜBİTAK-National Research Institute of Electronics and Cryptology, Gebze, Kocaeli, Turkiye1
Universités Nice Sophia Antipolis, UMR 7271, I3S, F-06900, France1
University of Waterloo, Vision and Image Processing (VIP) Lab, Ontario, Canada1
Disney Research, Pittsburgh, PA, USA, 152131
Corporate Innovation OSRAM GmbH1
College of Automation, Harbin Engineering University, Harbin, China1
School of Software and Microelectronic, Northwestern Polytechnical University, Xi’an, China1
School of Geosciences, China University of Petroleum, Qingdao, China1
The Guangzhou Key Laboratory of Digital Content Processing and Security Technologies, Guangzhou, China1
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK1
Universite de Rennes 1, Rennes, France1
École de Technologie Supérieure, Montréal, Canada1
Technical University of Munich, Garching, Germany1
Technical University Munich, Munich, Germany1
Ecole de Technologie Superieure, Montreal, Canada1
German Cancer Research Center, Heidelberg, Germany1
Sunnybrook Health Science Centre, Toronto, Canada1
University of Leeds, Leeds, UK1
School of Computing Sciences, University of East Anglia, Norwich, United Kingdom1
Department of Mathematics and Computer Science, Key Laboratory of IOT Application Technology of Universities in Yunnan Province, Kunming, Yunnan, P. R. China1
Technische Universitt Darmstadt, Computer Systems Group, Darmstadt, Germany1
Escuela de Ingeniería Informática, Universidad Francisco de Vitoria, Madrid, Spain1
FRAV, University Rey Juan Carlos, Móstoles, Spain1
Centro de Ciencias Aplicadas y Desarrollo Tecnológico, Universidad Nacional Autónoma de México, Mexico, Mexico1
Graduate University of Chinese Academy of Sciences, Beijing, Chine1
IBM Research T. J. Watson Center, U.S.A1
Math Dept, Faculty of Science, Helwan University, Cairo, Egypt1
Computers and Systems Dept., Electronic Research Institute., Cairo, Egypt1
LaBRI, CNRS, UMR 5800, F-33400 Talence, France1
Bournemouth University, Poole, UK1
Collaborative Innovation Center for Geospatial Information Technology, Wuhan, China1
Grupo Technología del Habla, E.T.S.I. Telecomunicación (ETSIT) Universidad Politécnica de Madrid (UPM), Madrid, Spain1
Department of Computer Science, Faculty of Education-Shabwa, University of Aden, Aden, Yemen1
School of Computer Science, Univerisiti Sains Malaysia, Gelugor, Malaysia1
Queen Mary University of London (United Kingdom)1
LG Electronics, Inc., South Korea1
School of Information Technology and Engineering, VIT University, Vellore, India1
Fundamental and Applied Science Department, Universiti Teknologi PETRONAS, Seri Iskandar, 32610, Perak Malaysia1
Hewlett-Packard Labs, Palo Alto, CA, USA1
Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350108, China1
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China1
Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China1
Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai, China1
University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy1
Department of Electrical and Computer Engineering, University of Toronto, Canada1
Naresuan University, Thailand1
BME, Tampere University of Technology, Tampere, Finland1
DEI, University of Padua, Padua, Italy1
Department of Computer Science, Xiamen University, Xiamen, China1
Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Department of Information Management, College of Management, National United University, Miaoli, Taiwan1
Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Information Technology Department, Cairo University, 5 Ahmed Zewal St., Orman, Giza, Egypt1
University of Nottingham at Ningbo, China1
Google, Duke University, NC, USA1
Department of Statistics, University of California at Berkeley, Berkeley, USA1
International Computer Science Institute, University of California at Berkeley, Berkeley, USA1
Computer Science Department, Rensselaer Polytechnic Institute, Troy, USA1
College of Information Science and Technology, Agricultural University of Hebei, Baoding, China1
Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University, Beijing, China1
Anhui University & Chinese Academy of Sciences, Hefei, China1
Department of Computer Science and Engineering, Chinese University of Hong Kong, China1
Chair of Cybernetics and Robotics, Electronics Faculty, Wroclaw University of Technology1
Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada1
ISEN Lille, Yncrea Hauts-de-France, France1
IMT Lille Douai, Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France1
U.S. Naval Research Laboratory, Washington DC, USA1
U.S. Naval Research Laboratory, Washington, DC 20375, USA1
Mixed Reality Laboratory, University of Nottingham, Nottingham, U.K.1
Nokia Research Center Hollywood,1
Microsoft Research,1
Computer Science and Artificial Intelligence Laboratory, MIT,1
Computer Graphics Laboratory, Department of Informatics & Telecommunications, University of Athens, Athens, Greece1
Walt Disney Imagineering, USA1
Dept. of ECE, College of Engineering, Northeastern University, Boston, USA1
Australian Centre for Visual Technologies, University of Adelaide, Adelaide, Australia1
Signals and Systems Group, Department of Electrical Engineering, Mathematics and Computer Science, University of Twente, Netherlands1
Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands1
Dept of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Dept. of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
The Technion–Israel Institute of Technology, Haifa1
The Open University of Israel, Raanana1
Weizmann Institute of Science, Rehovot1
University of Chile, Chile1
Charles University in Prague, Czech Republic1
Tsinghua University, Beijing1
AEBC, Nanyang Environment & Water Research Institute, Nanyang Technological University, Singapore1
Universitat de Barcelona - CVC, Spain1
Chalearn, Berkeley, California, USA1
INAOE, Mexico1
Universitat Oberta de Catalunya - CVC, Spain1
Institute of Information Technology, Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria1
The University of North Carolina at Charlotte, Charlotte, USA1
SunFlare Company, Shinjuku Hirose Bldg, Yotsuya 4-7, Shinjuku-ku, Tokyo, Japan 160-0004, Email: tokuda_n@sunflare.co.jp1
Computer Science Department, Univerisy of Northern British Columbia, Prince George, BC, Canada V2N 4Z9, E-mail: lchen@ieee.org1
Peking University & Alibaba Group, Beijing, China1
Key Laboratory of Information Security and Intelligent Control of Shandong Province, Shandong Youth University of Political Science, Jinan, China1
Elektrik ve Elektronik Müh. Böl., Dokuz Eylül Üniversitesi İzmir, TÜRKİYE1
Fen Bilimleri Enstitüsü, Dokuz Eylül Üniversitesi İzmir, TÜRKİYE1
Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia1
OR1
CMU, USA1
National Engineering Research Center for E-Learning, HuaZhong Normal University, Wuhan 430079, China1
School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China1
University of Guelph, Guelph, Ontario, Canada1
School of Engineering, University of Guelph, Guelph, N1G2W1 Ontario, Canada1
Electronics and Communication Dept., Chhotubhai Gopalbhai Patel Institute of Technology, Surat, India1
Chair of Signals and Systems, Department of EEMCS, University of Twente, Twente, The Netherlands1
AISIN AW Co., Ltd., Aichi, Japan1
OxCNL, University of Oxford, Oxford, U.K.1
Korea Electronics Technology Institute, Bundang-gu, Seongnam-si, Republic of Korea1
Inst. de Telecomunicações, Fac. de Ciências da Universidade do Porto, Porto, Portugal1
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University of Michigan-Ann Arbor, United States1
Department of Informatics 8 Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece1
ZTE Corporation, Shenzhen, China1
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Enjoyor Co., Ltd, Hangzhou, China1
College of Mathematics and Statistics, Shenzhen Key Laboratory of Media Security, Shenzhen University, China1
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Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China1
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School of Information and Computer Science, Aalto University, Aalto, Finland1
National ICT Australia1
P.G Demidov Yaroslavl State University, Artificial Intelligence Center, Yaroslavl, Russian Federation1
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Department of Electronics and Telecommunication, College of Engineering, Pune, India1
Department of Electronics and Telecommunication, Maharashtra Institute of Technology, Pune, India1
Machine Vision Group, Infotech Oulu and Department of Electrical and Information Engineering, University of Oulu, Finland1
Northwestern Polytechnic University, Xi’an, China1
Department of Electrical and Electronics Engineering, University of Jaffna, Sri Lanka1
Department of Electronic Technology, China Maritime Police Academy, Ningbo, China1
Department of Animation, Indonesian Institute of The Arts, Yogyakarta, Indonesia1
Polish-Japanese Institute of Information Technology, Warszawa, Poland1
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AGH University of Science and Technology, Kraków, Poland1
Polish-Japanese Institute of Information Technology, Warsaw, Poland1
Department of Computer Science, Cornell University, Ithaca, NY, USA1
IBM T.J. Watson Research Center, Hawthorne1
Microsoft Live Labs Research, Redmond1
Carnegie Mellon University, Pittsburgh1
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany1
Silent Talker Ltd1
George Mason University, USA1
Embedded Systems Research Group, Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand1
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Electronics Research Institute, Sharif University of Technology, Tehran, Iran1
Adobe Systems Inc. &, University of Washington, USA1
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Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia1
Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: stefan.duffner@orange-ftgroup.com1
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Maharshi Dayanand University, Rohtak, Haryana, India1
Computer Vision Group, Department of Informatics, University of Hamburg, Hamburg, Germany1
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k1
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Faculty of Electrical Engineering, Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza, Brazil1
Center for Behavior Imaging and the School of Interactive Computing at the Georgia Institute of Technology, Atlanta, 30332, USA1
University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China1
National ICT Australia, Canberra1
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State Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, China1
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Department of Mathematics and the State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China1
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Institute of Informatics and Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
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Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong. E-mail: king@cse.cuhk.edu.hk1
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Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK1
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Department of Computer Science and Engineering, Qatar University, Doha, Qatar1
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Electrical Engineering Department, Bu-Ali Sina University. Hamedan, Iran1
Autism Clinic for Translational Research, Brain & Mind Research Institute, Central Clinical School, Faculty of Medicine, University of Sydney, Sydney, Australia1
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IT Service, University of Reading, Reading, United Kingdom, RG6 6AY1
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Department of Computer Engineering, Punjabi University, Patiala, India1
Computer Science & Engineering, UIET, Chandigarh, India1
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Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China1
Edward S. Rogers, Sr. Department of Electrical and computer Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada1
First Research Institute of the Ministry of Public Security of People’s Republic of China, Beijing, China1
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Universidad Nacional de San Juan, Argentina1
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State Key Laboratory of CAD&CG, College of Computer Science, Zhejiang University, Hangzhou, China1
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School of EEE, NTU, Singapore1
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TUBITAK - UZAY, Ankara, Turkey1
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Computer Vision Research Lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
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College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China, Key Laboratory of Machine Intelligence and Advanced Computing Sun Yat-sen University, Ministry of Education Guangzhou, China1
Key Laboratory of Urban Planning and Decision-Making Simulation, Shenzhen, China1
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Catchoom, Barcelona, Spain1
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Ternopil National Economic University1
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Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. svetha@cs.curtin.edu.au1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. wanquan@cs.curtin.edu.au1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. senjian@cs.curtin.edu.au1
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Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong Baptist University (HKBU), Hong Kong1
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Adobe Research, San Jose, CA1
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Salvatore Maugeri Foundation, IRCCS, Scientific Institute of Telese Terme (BN), Telese Terme, Italy1
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Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China1
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Department of Electrical Engineering, Chang Gung University, Taipei, Taiwan1
School of Information Technology, Monash University Malaysia, Bandar Sunway, Malaysia1
College of Engineering, Huaqiao University, Fujian, China1
Visualization and Computer Vision Lab, GE Global Research, Niskayuna, NY, USA. E-mail: tu@research.ge.com1
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Computer Science Department, University of Maryland, College Park, USA1
Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China1
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Business School of Sichuan University, Chengdu, China1
School of Electrical Engineering, Queen Mary University of London, UK1
Université Joseph Fourier and INRIA Rhône-Alpes, Grenoble, France1
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State Key Laboratory of Tribology Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China1
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LE2I Lab, UMR CNRS 6306, University of Burgundy, Dijon, France1
CSE Department, College of Engineering, Qatar University, Doha, Qatar1
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Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan1
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SONY Electronics Inc., San Jose, CA, 95112, USA1
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Center for Imaging Sciences, The University of Manchester, Manchester, UK1
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Department of Computational and Applied Mathematics, Rice University, Houston, USA1
University of Rochester, Rochester, USA1
Department of Computing, University of Surrey, Guildford, Surrey, GU2 7XH, UK1
Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, Portugal1
Intelligent Vision Research Lab, Federal University of Bahia, Brazil1
College of Mathematics and Computational Science, Shenzhen University, China, 5180601
University of Sfax, CES Laboratory, Tunisia1
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University of Oslo, Oslo, Norway1
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K.U. Leuven, ESAT-PSI, Leuven, Belgium1
University of Reading, UK1
Robotics and Computer Vision Laboratory, Computer Vision and Machine Learning Research Group, College of Science and Technology, University of Central Lancashire, Preston, UK1
Visual Information Laboratory, Department of Computer Science, University of Bristol, Bristol, UK1
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Texas A&M University, College Station, TX, USA1
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Department of Electrical & Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China1
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Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE1
College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China1
Masaryk University , Brno, Czech Republic1
Rehabilitationswissenschaften, Technische Universität Dortmund, Dortmund, Germany1
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Carnegie Mellon University, Pittsburgh, Pa., USA1
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Video Processing and Understanding Lab, Universidad Autonoma de Madrid, Spain1
Mobile Communications R&D, LG Electronics, Inc., Seoul, Korea1
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Istanbul Technical University, Turkey1
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Forensic and Security Laboratory, School of Computer Engineering, Nanyang Technological University, Singapore, 6397981
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School of Informatics, The University of Edinburgh 11 Crichton Street, Edinburgh, EH8 9LE, United Kingdom1
Centre for Vision, Speech and Signal Processing, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK1
Graduate School, Xi'an University of Technology, China1
Faculty of Computer Science and Engineering, Xi'an University of Technology, China1
CEDRIC-Conservatoire National des Arts et Métiers, Paris, France1
School of Computer Software, Tianjin University, Tianjin, 300350, China1
USTECH(Beijing) Technology Co. Ltd., China1
Department of Fundamental Research, PLA Army Engineering University, China1
PLA Army Engineering University, College of Communication Engineering, China1
EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bicêtre, France1
L3i Laboratory, Université de La Rochelle, La Rochelle cedex 1, France1
Computer Vision Center, Departamento de Ciències de la Computació, Edifici O, Universitat Autònoma de Barcelona, Barcelona, Spain1
Advanced Digital Sciences Center at University of Illinois, Singapore / Nanyang Technological University, Singapore1
Tianjin Key Laboratory of Cognitive Computing and Application, School of Computer Science and Technology, Tianjin University, Tianjin, China1
Bilgisayar Müh. Bölümü, Orta Doğu Teknik Üniversitesi, Turkey1
Department of Informatics, Aristotle University of Thessaloniki, costas@aiia.csd.auth.gr1
Department of Informatics, Aristotle University of Thessaloniki, galba@aiia.csd.auth.gr1
LIAMA, French National Institute for Research in Computer Science and Control, Paris, France1
Intel Laboratory China, Beijing, China1
School of electrical and information engineering, Shandong University At Weihai, China1
School of Electronic and Electrical Engineering, Yonsei University, Seoul, South Korea1
Faculty of Information Science and Technology, Multimedia University, Malaysia1
School of Computing, National University of Singapore1
School of Computer Science and Technology, Harbin Institute of Technology, 150080 China1
City University, Kowloon Tong, Hong Kong1
Radboud University, EC Nijmegen, The Netherlands1
TNO, Oude Waalsdorperweg, AK The Hague, The Netherlands1
Liaocheng University, Liaocheng, China1
School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China1
Fraunhofer FKIE, Wachtberg, Germany1
Institute of Computer Science III, University of Bonn, Bonn, Germany1
Dept. of Comp. Eng. Fac. of Eng., Gazi University Ankara, Turkey1
DAIS, University of Venice, Italy1
German Aerospace Center (DLR), Germany1
Computer Science Depart., Rochester University, USA1
Computer Science Depart., Cornell University, USA1
College of Communication and Information Engineering, Xi'an University of Science and Technology, China1
Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Hunan University of Humanities, Science and Technology, China1
Changzhou University, Changzhou, China1
High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China1
Concordia Institute for Information Systems Engineering (CIISE), 1515 St. Catherine West, Montreal, Quebec H3G 2W1, CANADA1
Dept. of Computer Science and Software Engineering, Concordia University, 1515 St. Catherine West, Montreal, Quebec H3G 2W1, CANADA1
School of Engineering and Advanced Technology, Massey University1
Department of Electronic Computer Engineering, Hong Kong University of Science Technology1
Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China1
Microsoft, Inc., Seattle, WA, USA1
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA1
Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA1
Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, Taiwan1
School of Engineering, The University of Edinburgh, Edinburgh, U.K.1
College of Software and Communication Engineering, Xiangnan University, Chenzhou, China1
Department of Computer and Radio Communications Engineering, Korea University, Seoul, Republic of Korea1
School of Information Engineering, Henan University of Science and Technology, Luoyang, China1
LIG, CNRS, Grenoble, Cedex1
LIGM (UMR 8049), École des Ponts, UPE, Champs-sur-Marne, France1
Faculty of Information Technology, Macau University of Science and Technology, Macau1
Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong1
University of Tours, France1
Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, Iowa1
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York1
Institute for Transportation, Iowa State University, Ames, Iowa1
RMIT University, Vietnam1
Tolendata Singapore R&D Centre Private Limited, Singapore1
College of Computer Science & Software Engineering, Shenzhen University, China 5180601
School of Computer Science and Engineering, University of Science and Technology Liaoning, Anshan, China1
Beihai Yinhe Industry Investment Co., Ltd., China1
State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China1
School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London E1 4NS, United Kingdom1
Department of Computer Science, University College London, Gower Street, London WC1E 6BT, United Kingdom1
Department of Information Technology, RCC Institute of Information Technology, Kolkata, India1
Stanford University and Coursera1
Black Cat Science Inc., Boston, MA 02467, United States of America1
Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH 43209, United States of America1
Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America1
Siemens Molecular Imaging Ltd, Oxford, UK1
Mirada Medical Ltd, Oxford, UK1
Department of Engineering Science, University of Oxford, Oxford, UK1
Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708-0291, China1
Center of Excellence in Intelligent Engineering Systems (CEIES) and Electrical & Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia1
Department of Electronics and Computer Engineering, Korea University, Seoul, Korea1
University of Alberta, Alberta, Canada1
Arizona State University, Tempe AZ, USA1
IMT Lille Douai, Lille, France1
China University of Mining and Technology, China1
NAOC, Chinese Academy of Sciences, China1
ROSE Lab, Interdisciplinary Graduate School, Nanyang Technological University, Singapore1
Reallusion Corporation1
National Taiwan Normal University1
Defence Science and Technology Organisation (DSTO), Edinburgh, Australia1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey1
Computer Enginering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey1
The University of Tokyo, Bunkyo, Tokyo, Japan1
Keio University, Yokohama City, Japan1
National Institute of Advanced Industrial Science and Technology (AIST), Koto, Tokyo, Japan1
Computer Engineering Department, University at Albany, State University of New York, Albany, USA1
Computer Science Department, University at Albany, State University of New York, Albany, USA1
Department of Electronics and Information Engineering, Hankuk University of Foreign Studies, Korea1
University of Technology Sydney, Broadway, Australia1
University of Ottawa, Ottawa, Canada1
Fujitsu Kyushu Network Technologies Limited, Fukuoka, Japan1
Research Center for Institute of Information Science, Academia Sinica, Taiwan1
Department of Computer Science and Information Engineering, National Taiwan University1
Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA1
Open University of Israel, Ra’anana, Israel1
Science and Technology on Information, Systems Engineering Laboratory, Nanjing 210007, China1
Robotics Program, KAIST, Daejeon, Republic of Korea1
College of Mechanical and Material Engineering, North China University of Technology, Beijing, P.R. China1
Multimedia Communications Laboratory at University of Information Technology, Vietnam National University, Ho Chi Minh City, Vietnam1
Department of Statistics, Carnegie Mellon University, Pittsburgh, USA1
Department of Communications and Networking (COMNET), Ambient Intelligence Group, Aalto University, Aalto, Finland1
Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany1
Psychology, University of South Florida, Tampa, USA1
Department of Neuropsychiatry, Netherlands Institute for Neuroscience, Amsterdam Zuidoost, The Netherlands1
Keio University, Minato-ku, Japan1
Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran1
Multimedia Lab, Department of Electrical and Computer Engineering, University of Toronto, Canada1
Halmstad University, Sweden1
Faculty of Engineering, University of Porto, Porto, Portugal1
INESC-TEC, Porto, Portugal1
Uppsala University, Uppsala, Sweden1
The Mitre Corp, McLean, USA1
University of Modena and Reggio Emilia, Modena, Italy1
Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. jalba@gts.tsc.uvigo.es1
Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. danisub@gts.tsc.uvigo.es1
CVisionLab, LLC, Taganrog, Russia1
Strategy Office, Information and Communications Headquarters, Nagoya University, Japan1
School of Electrical Engineering and Automation, Qilu University of Technology, Jinan, China1
Elektrik-Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey1
Elektrik-Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey1
School of Information Technologies, The University of Sydney, NSW, Australia1
KU Leuven (BE)1
Information Science School, Guangdong University of Finance and Economics, China1
Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK1
Keio-National University of Singapore (NUS) Connective Ubiquitous Technology for Embodiments Center, Interactive and Digital Media Institute, NUS, Singapore1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China. wgao@jdl.ac.cn1
Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China; Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, China. xlchen@jdl.ac.cn1
Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China; Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, China. sgshan@jdl.ac.cn1
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Digital Media Research Center, Institute of Computing Technology, CAS, Beijing, China. ysu@jdl.ac.cn1
School of Cancer and Enabling Sciences, Stopford Building, University of Manchester, Manchester, UK1
Department of Economics and Statistics, Università degli Studi di Napoli “Federico II”, Italy1
Department of Industrial Engineering, Università degli Studi di Napoli “Federico II”, Italy1
FAST, Supélec, Avenue de la Boulaie, Cesson-Sévigné, France1
ISIR laboratory, Pierre and Marie Curie university, Paris Cedex 05, France1
Department of Computer Science, Wrocław University of Technology, Wrocław, Poland1
School of Electrical and Electronics Engineering, College of Engineering, Yonsei University, Seoul, Korea1
Department of Smart Systems Software, Soongsil University, Seoul, Korea1
Department of Information and Communication Technology, Soongsil University, Seoul, Korea1
School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, Australia1
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. mjchung@ee.kaist.ac.kr, bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Yuseong-gu, Daejeon, 305-701, Republic of Korea. akh@cheonji.kaist.ac.kr, bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Information Security Research Division, Electronics and Telecommunications Research Institute, Yuseong-gu, Daejeon, 305-700, Republic of Korea. bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Department of Computer Science and Engineering, RCC Institute of Information Technology, Kolkata, India1
Datang Guoxin Binhai Offshore Wind Power Co., Ltd1
Department of Computer & Control Engineering, Politecnico di Torino, Torino, Italy1
FAST National University of Computer and Emerging Sciences, Peshawar, Pakistan1
Department of Information Engineering and Mathematics, Universita di Siena, Siena, Italy1
Departement of Engineering Education, Utah State University, USA1
Mathematics Department, School of Computer Science, Bina Nusantara University, Indonesia1
Faculty of Science and Technology, Communication University of China, Beijing, China1
Science and Technology Department, Communication University of China, Beijing, China1
Collaborative Innovation Center, Communication University of China, Beijing, China1
Guru Gobind Singh Indraprastha University, University School of Information & Communication Technology, Sector 16-C, Dwarka, New Delhi-110078, India1
German National Library of Science and Technology (TIB), Hannover, Germany1
taglicht media Film- & Fernsehproduktion GmbH, Köln, Germany1
Department of Film and Digital Media, Seokyeong University, Seoul, Republic of Korea1
Department of MediaSoftware, Sungkyul University, Anyang-si, Republic of Korea1
Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea1
Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada N2L 3G11
School of Information System and Management, National University of Defense Technology, Changsha, China 4100731
Department of Fine Arts Hubei Institute of Fine Arts, Wuhan, China1
Université de Technologie Compiègne, 60200 Compiègne, France1
School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland1
Department of Computing and Shenzhen School, The Hong Kong Polytechnic University, Kowloon, Hong Kong1
Department of Computer Science and Technology, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China1
Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, Beijing, China1
Department of Computer Science, Aalto University, Espoo, Finland1
Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, Japan1
Department of Engineering, Nagoya Institute of Technology, Nagoya, Japan1
East China University of Science and Technology, Shanghai, China1
ERARGE, Ergünler Ltd. Şti, İstanbul, Türkiye1
Bilişim ve Bilgi Güvenliği Teknolojileri Araştırma Merkezi, Türkiye Bilimsel Ve Teknolojik Araştırma Merkezi, Kocaeli, Türkiye1
School of Information and Communication Engr., Sungkyunkwan University, Suwon, Korea1
Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Korea1
Center for Intelligent Robotics at Korea Institute and Technology (KIST), Seoul, Korea1
Department of Mechanical Engineering, Korea University, Seoul, Korea1
Joanneum Research, Graz1
Swiss Federal Institute of Technology, Lausanne1
Swiss Federal Institute of Technology, Lausanne and PatternLab1
University of Fribourg1
Univeristy of Applied Sciences Western Switzerland, Sierre and University of Fribourg1
Commissariat à l'Energie Atomique1
Pusan National University, Busan, Korea1
Department of Computer Science, Minjiang University, Fuzhou, China1
Virtual Reality and Interactive Techniques Institute, East China Jiaotong University, Nanchang, China1
Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand1
Wroclaw University of Technology1
Shri JJT University, Rajasthan1
Department of ECE, CVR College of Engineering, Hyderabad1
P.T.Lee. C.N.C.E.T, Kanchipuram, Tamilnadu1
The Hong Kong Polytechnic University, Chu Hai College of Higher Education, Hong Kong, China1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom. n.poh@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU2 7XH, United Kingdom. j.kittler@surrey.ac.uk1
School of Mathematics and Computational Science, Anqing Normal University, Anqing, People’s Republic of China1
Xerox Res. Centre Eur., Meylan, France1
Concordia Institute for Information Systems Engineering Concordia University, Montreal, Canada1
Center of Electronic Technology and Information Federal University of Amazonas Manaus, Brazil1
Center of Electronic Technology and Information, Federal University of Amazonas, Manaus, Brazil1
Instituto Nokia de Tecnologia, Manaus, Brazil1
Computer Engineering Dept., Gazi University, Ankara, Turkey1
Electrical&Elecronics Engineering Dept., Gazi University, Ankara, Turkey1
Department of Interactive Media, Gachon University, Seongnam-si, South Korea1
Department of Electronic Engineering, Dankook University, Cheonan, South Korea1
Department of Computer Science, Namseoul University, Cheonan, South Korea1
Department of Applied Computer Engineering, Dankook University, Yongin-si, South Korea1
Computer Vision Centre Barcelona, Universitat Autonoma de Barcelona, Catalonia, Spain1
Norwegian Colour and Visual Computing Laboratory, Gjovik University College, Gjøvik, Norway1
Department of Neurosurgery, University of Pittsburgh, PA 15213, USA1
Institute for Analytics and Data Science School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom1
School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom1
Visual Computation, Queen Mary University, London, United Kingdom1
Indian Institute of Information Technology and Management, Madhya Pradesh, India1
School of Computer Science, Northwestern Polytechnical University, Shaanxi, China1
Department of Computer Science, New York University, New York, NY, USA1
LIRMM, University of Montpellier / CNRS, France1
University of Nîmes, France1
Faculty of Computers and Information, Ain Shams University, Egypt1
Faculty of Computers and Information, BeniSuef University, Egypt1
Department of Electrical and Computer Engineering, College of the Computer and Information Science, Northeastern University, Boston, MA, USA1
Graduate Institute of Computer Science and Information Engineering, National Taiwan University, Taiwan1
Department of Computer Science, University of Brasília, DF, Brazil 70910-9001
Department of Mechanical Engineering, University of Brasília, DF, Brazil 70910-9001
Automobile Transport Command Department, Military Transportation University, Tianjin, P.R. China1
Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer Science, Peking University, Beijing, P.R. China1
School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, P.R. China1
Institute of Information and Decision Technology, Dalian University of Technology, Dalian, People’s Republic of China1
ICT-ISVISION FRJDL, Institute of Computing Technology, CAS, Beijing, China1
Open Platform Department, China Mobile IOT Company Limited, Chongqing, China1
College of Computer Science, Chongqing University Chongqing, China1
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, College of Computer Science, Chongqing University, Chongqing, China1
DCNS Research, 5 rue de l'Halbrane, 44340 Bouguenais, France1
Dept. of Electronic and Communications Technology, Autonomous University of Madrid, Madrid, Spain1
Dept. of Electrical Engineering, Aswan University, 81542 Aswan, Egypt1
Department of Computer and Information Sciences, Northumbria University1
Dipartimento di Elettronica e Informazione - Politecnico di Milano. tubaro@elet.polimi.it1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. tarres@gps.tsc.upc.es1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. alrama@gps.tsc.upc.es1
Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it1
School of Computing Science and Technology, Huazhong University of Science and Technology, Wuhan, China1
Shenzhen Research Institute, Northwestern Polytechnical University, ShenZhen, China1
Natural Computing Laboratory, University Politehnica of Bucharest, Bucharest, Romania1
Image Processing and Analysis Laboratory, University Politehnica of Bucharest, Bucharest, Romania1
Department of Computer Science and Engineering, Sejong University, Seoul, South Korea1
Digital Contents Research Institute, Department of Software, Sejong University, Seoul, South Korea1
Department of Mathematics, Islamia College Peshawar, Peshawar, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan1
Advanced Medical Electronics, Maple Grove, MN 55369 USA1
Technical University of Delft, Delft, The Netherlands1
European Institute for Participatory Media, University of Applied Sciences Stralsund, Berlin, Germany1
Raytheon BBN Technologies, Cambridge, MA, USA1
IGG, University of Bonn, Bonn, Germany1
B-IT, University of Bonn, Bonn, Germany1
Multimedia Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran1
Electrical and Computer Engineering Department, Islamic Azad University, Qazvin Branch, Qazvin, Iran1
Dept. of Electrical and Computer Engineering, Dept. of Internal Medicine, The University of Iowa, 52242, USA1
Dept. of Medical Information Technology, Carinthia University of Applied Sciences, Primoschgasse 8, A-9020 Klagenfurt, Austria1
School of Computer and Information, Anhui Polytechnic University, Wuhu, China1
Department of Control Science and Engineering, Zhejiang University, China1
Jadavpur University, Kolkata, India1
Department of Physics, Tripura University (A Central University), Suryamaninagar, India1
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar, India1
School of Electronic and Information Engineering, The Dalian University of Technology, Dalian, China1
Department of Computer Science, Queen Mary University of London, London, United Kingdom1
Institute for Anthropomatics, Karlsruhe Institute of Technology, Karlsruhe, Germany1
University of Adelaide1
INRIA, Université Paris Sud, Université Paris Saclay, Paris, France1
Pediatrics Department, University of South Florida, Tampa, FL, USA1
Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China1
Department of Computer Science, University of Surrey, United Kingdom1
Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary1
University Politehnica of Bucharest, Bucharest, Romania1
Intelligent Robotics Research Center, Korea Electronics Technology Institute, Bucheon, 420-734, Korea1
Oracle America, Inc., Redwood City, CA, USA1
University of Maryland, Baltimore County, Baltimore, MD1
Fachbereich Medizintechnik und Technomathematik, Standort Jülich, Fachhochschule Aachen, Jülich, Germany1
Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany1
State Post Bureau Safety Supervision Center, Beijing, 100091, China1
Elektrik-Elektronik Mühendisliği Bölümü, Trakya Üniversitesi, Edirne, Türkiye1
ONERA - The French Aerospace Lab, Palaiseau, France1
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China1
Schlol of computer Science, Nanjing University of Science and Technology, Jiangsu, China1
Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal, National institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil, and University of Fortaleza (UNIFOR), Ceará, Brazil1
Clínica Otocenter, Teresina, Piauí, Brasil1
Kanazawa University, Ishikawa, Japan1
Division of Electrical Engineering and Computer Science, Kanazawa University, Ishikawa, Japan1
Department of Computer Science and Engineering, The State University of New York at Buffalo, New York, USA1
Chinese Academy of Sciences, Institute of Software, Beijing, China1
University of Barcelona, Spain1
Georgia Southern University, Statesboro, GA1
Department of Electronic Engineering, Shantou University, Shantou, China1
University of Tasmania, Hobart, Australia1
Department of Electrical Engineering, KAIST, Daejeon, South Korea1
Computer Science and Engineering, Hanyang University, Seoul, South Korea1
Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China1
School of Software Technology, Dalian University of Technology, Dalian, China1
Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, District-Durg, India1
Centre for Emerging Technologies, Jain University, Karnataka-562112, India1
Computer Science and Engineering Department, Christ University, Bangalore- 560074, India1
Department of Computer Science, University of Liverpool, Liverpool L69 3BX, United Kingdom1
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China1
INESC and University of Porto, Porto, Portugal1
University of Alicante, Spain1
Institute for Systems and Robotics, Instituto Superior Técnico, Portugal1
College of Machanical Engineering, Jiangsu Institute of Commerce, Qinhuai District Nanjing, China1
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing Shi, China1
PLA University of Science and Technology, Qinhuai District Nanjing, China1
Company of Shaanxi, China Mobile Limited, Xi’an, China1
Departement of Statistics, FSU, Tallahassee, FL 32306, USA1
LIFL (UMR USTL/CNRS 8022), Université de Lille 1, France1
School of Electrical Engineering and Computer Science, University of Newcastle, Australia1
Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong1
College of Electrical Engineering and Automation, Anhui University, China1
Department of Computer Science, Federal University of Ceará, Fortaleza, Brazil1
Department of Information Engineering, The Chinese University of Hong Kong, China1
Liverpool John Moores University, Liverpool, United Kingdom1
Inha University, Incheon, Korea (Republic of)1
Indian Institute of Technology Madras, Chennai, India1
Department of Automation, USTC, China1
National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA1
Center for Automation Research, University of Maryland, College Park, MD 20742, USA1
College of Humanities & Information of Changchun University of Technology, Changchun, China1
Department of Computer Engineering, Bogaziçi University, Bebek, Turkey1
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, 430073, China1
Department of Electrical Engineering, University of Texas at Dallas, Richardson, TX 75080 USA1
School of Computer, Wuhan University, Wuhan 430072, China1
Center for Research in Computer Vision, University of Central Florida, Orlando, FL, USA1
Rensselaer Polytechnic Institute, Troy, NY 12180, USA1
GE Global Research Center, Niskayuna, NY 12309, USA1
National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Institute for Applied System Analysis, Kyiv, Ukraine1
Nanjing University, Nanjing, P. R. China1
School of Information Science and Engineering, Yunnan University, Kunming, People’s Republic of China1
School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, People’s Republic of China1
UBTECH Robotics, Shenzhen, People’s Republic of China1
School of Big Data and Intelligence Engineering, Southwest Forestry University, Kunming, People’s Republic of China1
School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou, People’s Republic of China1
School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China1
Pattern Recognition Laboratory, College of Automation, Harbin Engineering University, Wheresohu_what@sohu.com1
Pattern Recognition Laboratory, College of Automation, Harbin Engineering University, Computer_vision@sohu.com1
School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China1
Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia1
Adobe System Incorporated1
Micrososft Research Asia1
School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. daphna@cs.huji.ac.il1
School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. zweiga@cs.huji.ac.il1
Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China1
Department of Computer Science and Technology, Zhejiang University of Technology, 288 Liuhe Road, Hangzhou, China1
University of Illinois Urbana Champaign, Champaign, USA1
Mapillary Research, Graz, Austria1
University of Glasgow, Glasgow, UK1
Waseda University and USC Institute for Creative Technologies1
GM Advanced Technical Center Israel, Hamada 7, Herliya, Isarel1
RoadMetric LTD, Giveat Yearim 90970, Israel1
Department of Telecommunications, University "Politehnica" Bucharest Bucharest, Romania1
Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, China1
School of Information Science, Xinhua College of Sun Yat-sen University, Guangzhou, China1
IBM, Yorktown Heights, NY, USA1
Inst. Dalle Molle d'Intelligence Artificielle Perceptive, Martigny, Switzerland1
Al Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia1
School of Information and Mechatronics, Gwangju Institute of Science and Technology, Gwangju, Korea1
Department of Computer Science, COMSATS, Institute of Information Technology, Sahiwal, Pakistan1
Portland State University, Portland, USA1
School of Instrumentation Science and Optoelectronics Engineering, Beihang University, Beijing, China1
Centro Studi S.r.l., Buccino, Italy1
Electrical Engineering Department, Semnan University, Iran1
Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India1
Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
INSA de Lyon - Université de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France1
Institute for Infocomm Research, A-star, Singapore1
EE Department, I.I.T. Delhi, Hauz Khas, New Delhi, India1
EC Department, ACE College of Engineering, Trivandrum, India1
Department of Computer Science, University of North Carolina at Charlotte, USA1
EECS Department, UC Berkeley, USA1
Lane Department CSEE, West Virginia University, USA1
Institute for Mathematical Stochastics, University of Göttingen, Germany1
Computer Engineering College, Jimei University, Xiamen, China1
Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen, China1
School of Information, Hunan University of Humanities, Science and Technology, Loudi, China1
Dept. of Computer Science and Engg., IIT Roorkee, Roorkee, India1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guidford, Surrey, United Kingdom1
Dept. of Computer Science & Engineering, The Chinese University of Hong Kong, Shatin, N.T., China1
Dept. of Digital Media, College of Information Sciences, Beijing Language and Culture University, 100083, China1
Department of Computing, Curtin University, Perth, Western Australia1
Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York1
Dept. of Information Science, King Abdulaziz University, Jeddah, Saudi Arabia1
Department of Machine Intelligence and Systems Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, 84-4 Aza Ebinokuchi Tsuchiya, Yurihonjo City, 015-0055 Japan1
OMRON Social Solutions Co. Ltd., Japan1
School of Electrical and Computer Engineering, Purdue University, West Lafayette, USA1
Baidu Research - Institute of Deep Learning, Sunnyvale, USA1
CERTH, Thessaloniki, Greece1
CERTH & Queen Mary University of London, Thessaloniki, Greece1
Department of Electromechanical Engineering, University of Macau, Macau, SAR, China1
Department of Computer and Information Science, University of Macau, Macau, SAR, China1
Los Alamos National Laboratory1
ICT-ISVISION Joint R&D Lab. for Face Recognition, Chinese Acad. of Sci., Beijing, China1
Department of Electrical and Computer Engineering and Center for Automation Research, University of Maryland, College Park, MD, USA1
Interacting Minds Centre, Aarhus University, Aarhus C, Denmark1
Department of Human Biology, Faculty of Physiotherapy, University School of Physical Education in Wroclaw, Wroclaw, Poland1
Center for Language Evolution Studies, Faculty of Languages, Nicolaus Copernicus University, Torun, Poland1
Department of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland1
Polish Academy of Sciences, Unit of Anthropology, Hirszfeld Institute of Immunology and Experimental Therapy, Wroclaw, Poland1
College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan1
De Montfort University1
Gdańsk University of Technology, Gdansk, Poland1
AGH University of Science and Technology, Krakow, Poland1
Electronics Research Laboratory, Volkswagen Group of America, 500 Clipper Dr, Belmont, CA 94002, USA1
Center of HCI for Coexistence, Korea Inst. of Science &Technology, Seoul, Korea, Republic of (South Korea)1
Institute for Media Innovation, Nanyang Technology University, Singapore, Singapore1
BBN Technologies, Cambridge, USA1
Computer Science, North Carolina Central University, USA1
Computer Science & Electrical Engineering, West Virginia University, USA1
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln 68503, NE, United States1
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, 430079, China1
State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Electrical and Information Engineering, Hunan University, Changsha, China1
Florida State University, FL, USA1
Hospital Clinic Universitat de Barcelona, Barcelona, Spain1
Benito Menni Complex Assistencial en Salut Mental, Barcelona, Spain1
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain1
Institute of Psychiatry, King’s College London, London, UK1
FIDMAG Research Unit, Benito Menni CASM, Barcelona, Spain1
Queen Mary, University of London1
Brunel University1
School of Computer Engineering, Nanyang Technological University, Singapore, 6397981
Indian Institute of Information Technology Lucknow, Lucknow, India1
The Department of Computing, Muscat College, University of Stirling, UK1
School of mechanical and material engineering, North China University of Technology, Beijing, P.R. China1
Institute of Cybernetics, Tallinn University of Technology1
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan, R.O.C.1
Rapid-Rich Object Search (ROSE) Lab, Nanyang Technological University, Interdisciplinary Graduate School, SingaporeSingapore1
Computer Science and Eng. and Dept. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Computer Science and Eng. and IT, Dep. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Computer Science, Eng. and IT, Dept. School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran1
Fordham University, New York, 10023, USA1
Pattern Recognition Group, University of Siegen, Siegen, Germany1
College of Computer Science and Information Tech., Sudan University of Science and Technology, Sudan1
Department of IT and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran1
Beijing Transportation Operation Coordination Center, China1
Beijing Transportation Information Center, China1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA1
Department of Electrical and Computer Engineering and the College of Computer and Information Science, Northeastern University, Boston, MA, USA1
Ben-Gurion University, Beersheba, Israel1
Orbotech Ltd., Yavne, Israel1
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Institute of Intelligent Information Processing, Xidian University, Xi’an, China1
Department of Mathematics, University of Bari Aldo Moro, Bari, Italy1
School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, P. R. China1
Department of Electrical Engineering, Semnan University, Semnan, Iran1
University of California, Merced, CA, 953441
School of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China1
Department of Statistics, Florida State University, Tallahassee, FL, USA1
Department of CS&E, Professor, Visualization and Perception Lab, Chennai, India1
INRIA Rennes, France1
Department of IT, KLNCIT, Sivagangai, Tamilnadu, India1
Department of ECE, KLNCIT, Sivagangai, Tamilnadu, India1
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China1
SPKLSTN Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Dept. of Electronics, Telecommunications and IT University “Politehnica” of Bucharest, Romania1
Department of Computer Science & Engineering, Guru Jambheshwar University, Hisar, Haryana, INDIA-125001. E-mail: dinesh_chutani@yahoo.com1
Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology, CAS, Beijing, China1
School of Software, Beihang University, Beijing, China1
Software Engineering Institute, Tsinghua University, Beijing, China1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing, P.R. China1
Graduate Sch. of Inf. Sci. & Technol., Tokyo Univ., Japan1
State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, People’s Republic of China1
Department of Psychology, University of Pittsburgh/Robotics Institute, Carnegie Mellon University , Pittsburgh, PA, USA1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, NSW, Australia1
Jiangsu Key Laboratory of Big Data Analysis Technique, Nanjing University of Information Science and Technology, China1
D.S.M. College, Parbhani, India1
School of Information Engineering, Nanchang Hangkong University, Nanchang, China1
Dept.of Intelligence Science and Technology, The Kyoto University of JAPAN1
Dept.of Computational Intelligence and Systems Science, Tokyo Institute of Technology of JAPAN1
Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA1
Electronic Information School, Wuhan University, Wuhan 430072, China1
Department of Communication Engineering and Informatics, The University of Electro-Communications, Tokyo 182-8585, Japan1
INRIA Rhone Alpes, Grenoble 38334, France1
Toyota Motor Europe (TME), Brussels 1140, Belgium1
Universidad Autonoma de Occidente, Cali, Colombia1
Data Scientist Advanced Analytics Department, General Motors, Warren, USA1
Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran1
College of Computer Science and Technology of Huaqiao University Xiamen, Xiamen, China1
Dept. of Computer and Information Sciences, Temple Univ., Philadelphia1
School of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran1
School of Computer and Information Technology Engineering, Shahrood University of Technology, Shahrood, Iran1
Department of Computer Science and Engineerineg POSTECH Pohang, 790-784, Korea1
Department of Computer Science and Engineering, POSTECH, Pohang, 790-784, Korea1
Department of Management and Production Engineering, Politecnico di Torino, Turin, Italy1
Bocgazici University, Turkey1
Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia1
Dalian Maritime University, Dalian, People’s Republic of China1
Bordeaux INP, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France1
Chang Jiang Institute of Survey, Planning, Design and Research, China1
Santa Barbara Cottage Hospital1
Department of Computer Science, Al Imam Muhamad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia1
Université de Lorraine-LORIA UMR 7503, Vandoeuvre-lès-Nancy, France1
Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Taiwan 640, R.O.C.1
De La Salle University, Manila, Philippines1
Department of Human Development and Family Studies, Purdue University, West Lafayette, Indiana, USA1
Department of Computer Science and Digital Technologies, Northumbria University, Newcastle Upon Tyne, UK1
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK1
Department of Computer Science, Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC, cpliao@chien.csie.ncku.edu.tw1
Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China1
LAMIH/CNRS University of Valenciennes and Hainaut-Cambresis, Valenciennes, France1
Department of Informatics - Federal University of Paraná, Curitiba, Brazil, 81531-9901
Department of IT, MM University, Mullana, India1
Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjing, 300308, China1
Mekatronik Mühendisliği, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye1
Massachusetts Institute of Technology, Cambridge1
The Library of Wuhan University of Technology, Wuhan, 430070, P. R. China1
Laboratory LIM, Department of Computer Science, Faculty of Sciences and Technologies, University Hassan II, Casablanca-Morocco1
School of Informatics, University of Wales, Gwynedd, United Kingdom1
Computer Vision Center, Department Informàtica, Universitat Autònoma de Barcelona, Barcelona, Spain1
Edge Hill University, Ormskirk, United Kingdom1
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Turkey1
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Turkey1
Bilgisayar Bilimleri Bölümü, Bilgi Üniversitesi, İstanbul, Turkey1
University of Massachusetts, Boston, USA1
Information and Communication Technology Research Institute, Tehran, Iran1
Electronic and Computer Engineering, Brunel University London, Uxbridge, UK1
Faculty of Engineering, University of Ottawa, Ottawa, Canada1
Computer Science and Engineering, Qatar University, Doha, Qatar1
NOVA LINCS, Department of Computer Science, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisboa, Portugal1
Institute for Interdisciplinary Information Science, Tsinghua University, Beijing, China1
Institute for Infocomm Research & Nanyang Technological University, Singapore, Singapore1
University of Milano-Bicocca, Milan, Italy1
NICTA, Canberra Research Laboratory, ACT, Australia1
Computational Intelligence and Systems Science, Tokyo Institute of Technology-Japan, Email: osman@isl.titech.ac.jp1
Universidade Estadual de Campinas, Cx.P. 6176 Campinas-SP, CEP 13084-971, Brazil1
Dakota Consulting, Inc., Silver Spring, USA1
Department of Electrical Engineering, Imperial College London, London, UK1
Department of Computer Science and Engineering, Thapar University, Patiala, India1
Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, Shaanxi, China1
Toutiao AI Lab, Beijing, China1
College of Information and Computer Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, KSA1
TU Wien, Vienna, Austria1
Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom1
Institute on Children Studies, University of Minho, Portugal1
Alibaba Group, Beijing, China1
North Automatic Control Technology Institute, Taiyuan, 030006, China1
College of Aerospace and Material Engineering, National University of Defense Technology, Changsha, China1
REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, Department of computer science, College of AlGhat, Majmaah university, Riyadh, KSA1
National Laboratory of Pattern Recognition Institute of Automation, Chinese Academy of Sciences, Beijing, China1
Research Center for Brain-inspired Intelligence, Chinese Academy of Sciences, Beijing, China1
Center for Research on Intelligent Perception and Computing, Chinese Academy of Sciences, Beijing, China1
IIT Guwahati, 781039, Assam, India1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: huseyin.ozkaramanli@emu.edu.tr1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: hasan.demirel@emu.edu.tr1
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Gazimagusa, TRNC, Mersin 10, TURKEY, Email: alaa.eleyan@emu.edu.tr1
Space and Naval Warfare Systems Center Pacific, San Diego, CA, 92152, United States1
Electrical and Computer Engineering, University of California, San Diego1
School of Computer Software, Tianjin University, 300072, China1
Department of Electronics and IT Media Engineering, Seoul National University of Science & Technology, Seoul, Korea1
Biometrics Research Center, Hong Kong Polytechnic University, Hong Kong, China1
Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hong Kong, China1
Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Chinese Academy of Sciences, Xi'an, China1
Microsoft Research, Mountain View, CA1
Brown University, Providence, RI1
Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India e-mail: ankumfec@iitr.ernet.in1
Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com1
Inst. of Computing Tech., CAS & Univ. of Chinese Academy of Sciences & Key Lab of Big Data Mining and Knowledge Management, CAS, Beijing, China1
College of Information Science and Engineering Henan University of Technology Zhengzhou, 450001, P.R. China1
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, P.R. China1
Laboratoire de Mécanique des Fluides et d'Acoustique(LMFA)-UMR 5509, Institut national des sciences appliquées de Lyon, 69621, France1
Department of Information, Compiègne University of Technology, 60200, France1
School of Automation, Northwestern Polytechnic University, Xi'an, 710072, China1
North China University of Technology, Beijing, 100041, China1
University of North Carolina at Chapel Hill, Chapel Hill, NC, USA1
Universitat Pompeu Fabra, Universidad Pompeu Fabra (Edificio França), Passeig de Circumvallacio, 8, Barcelona, Spain1
Departamento de estadística, Universidad Carlos III de Madrid, Barcelona, Spain1
University of California, Santa Barbara, California, USA1
Institute of Automatic Control, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland1
Institute of Informatics, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland1
Institute of Neural Information Processing, University of Ulm1
Computer Science Department, University of California Los Angeles1
Computer Science, Rochester Institute of Technology, USA1
Center for Imaging Science, Rochester Institute of Technology, USA1
Department of Multimedia Design, National Taichung University of Science and Technology, Taichung, Taiwan1
Department of Computer Science and Information Engineering, National Chung Cheng University, Chia-Yi, Taiwan1
Faculty of Science, Qiqihar University, 161006, China1
Department of Mathematics and Mechanics, Applied Science School, University of Science and Technology Beijing, 100083, China1
Amirkabir University of Technology, Department of Computer Engineering, Tehran, Iran1
Australian Centre for Robotic Vision, University of Adelaide, South Australia, Australia1
“Lumina” The University Of South-East Europe, Bucharest, Romania1
Hyperion University Bucharest, Romania1
Adobe Research, San Jose, CA, USA1
Center of Computer, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China1
University of Copenhagen and University of Malta, Copenhagen, Denmark1
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany1
Laboratoire d’interprétation et de traitement d’images et vidéo, Polytechnique Montréal, Montreal, Canada1
Communication University of China, China1
Chinese Academy of Sciences, Institute of Computing Technology, China1
Intel Labs China, Intel Corporation, 100090, Beijing, China1
Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Italia1
Institute of Computer Engineering, University of Lübeck, Germany1
Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Italia1
Advanced Micro Devices, Inc., Bellevue, WA, USA1
College of William & Mary, Williamsburg, VA, USA1
Advanced Micro Devices, Inc., Sunnyvale, CA, USA1
University of Granada, UK1
University of Colorado, Boulder, CO, USA1
Nanjing University, China1
Center for Machine Vision, Research, University of Oulu, Finland1
Computer Science, Purdue University, West Lafayette, USA1
mediaX, Stanford University, Stanford, USA1
Dpto. Lenguajes y Sistemas Informáticos, Universidad Jaume I. Castellón de la Plana, Spain1
School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili Nanshan District Shenzhen, Guangdong Province, China1
LIRIS, Université de Lyon, UMR CNRS 5205, Université Lyon 2, Bron, France1
Computer Science Department, University of Jijel, Ouled Aissa, Jijel, Algeria1
College of air traffic control and navigation, Air Force Engineering University, Xi'an 710051, China1
Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China1
College of Science, Air Force Engineering University, Xi'an, 710051, China1
Department of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072,China1
Schoool of Life Sciences and Technology, Xidian University, Xi'an, China1
Koolsee MideaNet Company Limited, Hong Kong, China1
Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China1
Ricoh Company, Ltd., Yokohama, Japan1
Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Tuebingen, Baden-Wuerttemberg, Germany1
Center for Collective Intelligence, Massachusetts Institute of Technology, Cambridge, Massachusetts USA1
School of Computer Science and Technology, Anhui University, Hefei, China1
Microsoft Key Laboratory of Visual Perception, Zhejiang University, Hangzhou, China1
Faculty of Computer and Information Sciences, Information Systems Department, Ain Shams University, Cairo, Egypt1
Department of Software Engineering, China University of Petroleum, Qingdao, China1
Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India1
College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China1
School of Information Science and TechnologyBeijing Forestry University1
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK, m.hamouz@surrey.ac.uk1
Center for Vision Research, York University. jelder@yorku.ca1
Department of Computer Science, University College London. s.prince@cs.ucl.ac.uk1
Institute of Automation, National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing, P.R. China1
Microsoft Research Asia, Beijing, P.R. China1
Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea1
Cognitive Neuroscience Cluster, Southern Cross University, Coffs Harbour, Australia1
Graduate Program in Neuroscience, The University of Western Ontario, London, Canada1
Department of Psychology, The University of Western Ontario, London, Canada1
The Brain and Mind Institute, The University of Western Ontario, London, Canada1
Semnan University, Semnan, Iran1
Huazhong University of Science and Technology, P. R. China1
Department of AutomationTsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China1
College of Software, Northeastern University, Shenyang, China1
Hebei University of Technology, School of Science, Tianjin, P. R. China1
West Virginia University, Lane Dept. of CSEE, Morgantown, WV1
The School of Software Engineering, Beijing Jiaotong University, Beijing, China1
Faculty of Electronics, Telecommunications and Informatics, Audio Acoustics Laboratory, Gdansk University of Technology, Gdansk, Poland1
Faculty of Electronics, Telecommunications and Informatics, Multimedia Systems Department, Gdansk University of Technology, Gdansk, Poland1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China1
Uurmi Systems Lab, Hyderabad, India1
Department of Computer Engineering, Eastern Mediterranean University, Mağusa, Turkey1
Colchester, Essex, United Kingdom1
Department of Electrical and Computer Engineering, College of Engineering, and College of Computer and Information Science (Affiliated), Northeastern University, MA, USA1
Department of Mathematics, JiaYing University, Meizhou, China1
School of Engineering, Shiv Nadar University, Gautam Buddha Nagar, India1
CARTIF Centro Tecnológico, Robotics and Computer Vision Division, Boecillo (Valladolid, Spain)1
Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, 152-8552, Japan1
Division of Computer Science and Engineering, CAIIT, Chonbuk National University, Jeonju, Korea1
Division of Computer Science and Engineering, Chonbuk National University, Jeonju, Korea1
School of Electronic and Information Engineering, Shanghai University of Electric Power, 200090, China1
School of Automation Engineering, Shanghai University of Electric Power, 200090, China1
School of Electrical and Automatic Engineering, Changshu Institute of Technology, 215500, China1
School of Computer Science and Engineering, Changshu Institute of Technology, 215500, China1
School of Engineering and Information Technology, Murdoch University, Australia1
Tencent Inc., Shanghai, China1
University of Twente, Enschede, Netherlands1
Radboud University, Nijmegen, Netherlands1
NCCA, Bournemouth University, United Kingdom1
Roke Manor Research Romsey, Hampshire SO51 0ZN, UK1
Computer Science Department, University of Maryland, College Park, MD1
Department of Computer Science, Memorial University of Newfoundland, Saint John's, NL, Canada1
Computer Science Department, Tel-Aviv University, Ramat Aviv, Tel-Aviv, Israel1
Shenzhen University, Shenzhen, China1
Department of Radiation Oncology, Hacettepe University, Ankara, Turkey1
Guangdong University of Foreign Studies, Guangzhou, China1
The Department of Electronic Engineering, BoHai University, JinZhou, China1
KTH - Royal Institute of Technology, Stockholm, Sweden1
Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain1
Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Information & Communications Technologies Department, Universitat Pompeu Fabra, Barcelona, Spain1
Department of Electrical Engineering, Assiut University, Asyut, Egypt1
Dept. of Electronics and Comm., S.J.B. Inst. of Tech., Bangalore - 560060, India1
Naval Research Laboratory, Washington, DC 20375; George Mason University, Fairfax, VA1
University of Mysore, Mysore, India1
Channabasaveshwara Institute of Technology, Gubbi, India1
Institut TELECOM, TELECOM and Management SudParis, France1
University of Mysore, Mysore, India & institut TELECOM, TELECOM and Management SudParis, France1
Department of Computer Engineering, Yeungnam University, Gyeongsan, South Korea1
Korea Electronics Technology Institute (KETI), Kyunggi-Do, Korea1
TNO Defence, Security and Safety, P.O. Box 96864, 2509 JG The Hague, The Netherlands1
Shanghai University of Finance and Economics, Shanghai, China1
Department of Signal Processing, Tampere University of Technology, FIN-Tampere, 33720, Finland1
Department of Computer Sciences, University of Texas at Austin, Austin, USA1
Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, USA1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign , Urbana1
Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis1
Laboratoire d'Informatique de l'Ecole Normale Supérieure (INRIA/ENS/CNRS UMR 8548), INRIA-Willow project, Ecole Normale Supérieure, Paris, France1
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana1
NYSS College of Engineering and Research, Nagpur, 441 110, India1
\ No newline at end of file diff --git a/scraper/reports/doi_institutions_geocoded.csv b/scraper/reports/doi_institutions_geocoded.csv index e47bdbb5..b568e011 100644 --- a/scraper/reports/doi_institutions_geocoded.csv +++ b/scraper/reports/doi_institutions_geocoded.csv @@ -1,42 +1,64 @@ +399aa3c151a684bdee68cceccdf2c037cbe60aab,A robust illumination classifier using rough sets,India,India,India,20.59368400,78.96288000,edu, 392c8e575f8520bb880959d494be0911d091b525,Cross-Modal Metric Learning for AUC Optimization,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 39a5f2ab4474b8532aaccb68e3b705e5100a628e,Sparse Representation for Computer Vision and Pattern Recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 3979fc22340bb275e5d1d97f00ba0dc2cf1e881d,Foreground Focus: Unsupervised Learning from Partially Matching Images,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 39c10888a470b92b917788c57a6fd154c97b421c,Joint multi-feature fusion and attribute relationships for facial attribute prediction,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 390ab26ec93606a835ed0a0ab501cf2375c8cbac,Multidimensional Scaling for Matching Low-Resolution Face Images,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 39d6f8b791995dc5989f817373391189d7ac478a,On the kernel Extreme Learning Machine speedup,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +39a20428734b1b38b8e93c1c23283f4c85ff27f4,A Hierarchical Multimodal Attention-based Neural Network for Image Captioning,Shanghai University of Finance and Economics,"Shanghai University of Finance and Economics, Shanghai, China","318 Wuchuan Rd, WuJiaoChang, Yangpu Qu, Shanghai Shi, China, 200433",31.30659400,121.49403800,edu, 3974c8a9894a6ee33969fe556e6d18dbaac771ba,Multi-people pose tracking through voxel streams,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +39aac8a92315edfdde7f4f2ced20e998a1a3d70e,Yawning Detection Using Embedded Smart Cameras,"CongniVue Corporation, Gatineau, QC, Canada","CongniVue Corporation, Gatineau, QC, Canada","25 Rue Eddy #100, Gatineau, QC J8X 4B5, Canada",45.42574860,-75.72056960,company, 397022a4460750c762dbb0aaebcacc829dee8002,Attribute Regularization Based Human Action Recognition,"CASIA, Beijing, China","State Key Laboratory of Management and Control of Complex Systems, CASIA, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, 398e0771e64cab6ca5d21754e32dce63f9e3c223,Dense Dilated Network for Few Shot Action Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 392d4fc94db11fa40a96a41f975532f1a36630c6,Robustness and expression independence in 3D face recognition,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, 3935dd4eefe87a86efbafde3be80e1a5fd4db491,"Detecting and tracking of multiple pedestrians using motion, color information and the AdaBoost algorithm",Yeungnam University,Yeungnam University,"영남대, 대학로, 부적리, 경산시, 경북, 712-749, 대한민국",35.83654030,128.75343090,edu, 392589e60f203b19b1d314ff1005182a668c594b,Learning Joint Multimodal Representation with Adversarial Attention Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +394276284bfdb5049aedbe94b215e81b1bf4fb03,PSO versus AdaBoost for feature selection in multimodal biometrics,India,India,India,20.59368400,78.96288000,edu, 3947371c9376c8f8d18470f8ad8b91c1925397e2,Robust Foreground Estimation via Structured Gaussian Scale Mixture Modeling,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 391b273af237b69ebbdfacb8e33b8e873421c780,Toward a Human-Like Approach to Face Recognition,Naval Research Laboratory,Naval Research Laboratory,"Naval Research Laboratory Post Office, 4555, Overlook Avenue Southwest, Washington, D.C., 20375, USA",38.82313810,-77.01789020,mil, 39634443c52f43c815735926a7113402c9b737d5,$\alpha$ -Trimmed Weber Representation and Cross Section Asymmetrical Coding for Human Identification Using Finger Images,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +39610b2e660ec2e33b28f477657d49e3d1f58a0e,Dual Objective Feature Selection and Scaled Euclidean Classification for face recognition,India,India,India,20.59368400,78.96288000,edu, 39836fbbcd2a664edb31119e88870c38b83df352,Adaptively Attending to Visual Attributes and Linguistic Knowledge for Captioning,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +3901489fd02e47c1f4b16b55f6d27192be5dc652,Movie Scene Recognition Using Panoramic Frame and Representative Feature Patches,China,China,China,35.86166000,104.19539700,edu, +39c09940e03fe5c0e6c9da28253cddfeb25a4aca,Face recognition using the wavelet approximation coefficients and fisher's linear discriminant,China,China,China,35.86166000,104.19539700,edu, 3901c04f0dc8a01243789d2ed00ffadbb2c6423d,Design of an interactive multiple model based two-stage multi-vehicle tracking algorithm for autonomous navigation,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 39c8ed5213882d4dbc74332245ffe201882c5de1,Multi-view face hallucination based on sparse representation,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 397257783ccc8cace5b67cc71e0c73034d559a4f,A 3D-Based Pose Invariant Face Recognition at a Distance Framework,Assiut University,Assiut University,"Assiut University, El Shaheed Ellwaa Hasn Kamel street, الوليدية, أسيوط, مصر",27.18794105,31.17009498,edu, +398310036d4da84b0ccc8682e3ec1a6da36f123b,Monocular vision based distance estimation algorithm for pedestrian collision avoidance systems,India,India,India,20.59368400,78.96288000,edu, +3965ff8cee7e1542740d9ba5096ace33fc2f4980,An efficient illumination compensation based on plane-fit for face recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 39d6339a39151b5f88ec2d7acc38fe0618d71b5f,Tracking characters in movies within logical story units,University of Brescia,University of Brescia,"Brescia University, West 7th Street, Owensboro, Daviess County, Kentucky, 42303, USA",37.76893740,-87.11138590,edu, 398194c0b005d9de88bfe98225ea5b3a07ed001b,Automatic face recognition from frontal images,"Eskişehir Osmangazi University, Turkey","Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Türkiye","Eskişehir Osmangazi Üniversitesi, Mühendislik Fakültesi, 26480 Odunpazarı/Eskişehir, Turkey",39.74871200,30.47595620,edu, 39523a5a0225618bdd55212da8c51b04d5db789a,Using Simulation to Improve Human Pose Estimation for Corner Cases,Reutlingen University,Reutlingen University,"Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72762, Deutschland",48.48187645,9.18682404,edu, 39d0de660e2116f32088ce07c3376759d0fdaff5,Regression-based metric learning,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 39f7878f447df7703f2c4ddeeffd7eb0e21f6cd4,Facial Action Unit Detection using Probabilistic Actively Learned Support Vector Machines on Tracked Facial Point Data,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 3960882a7a1cd19dfb711e35a5fc1843ed9002e7,On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, +39b765988e8bb6f650218c839640cac56e62adc8,Deep Cross-Domain Fashion Recommendation,"KTH - Royal Institute of Technology, Stockholm, Sweden","KTH - Royal Institute of Technology, Stockholm, Sweden","Brinellvägen 8, 114 28 Stockholm, Sweden",59.34980650,18.07066460,edu, +393b428f8f6a3f94cb9303ba9ee5441a1ab9e48e,Anomaly detection based on sparse coding with two kinds of dictionaries,China,China,China,35.86166000,104.19539700,edu, +3980dadd27933d99b2f576c3b36fe0d22ffc4746,A facial expression recognition method based on cubic spline interpolation and HOG features,China,China,China,35.86166000,104.19539700,edu, 39689bd427f5668a8fbb3113019c2b8393f0b1a7,Data-driven visual similarity for cross-domain image matching,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 391b86cf16c2702dcc4beee55a6dd6d3bd7cf27b,Deep Learning for Content-Based Image Retrieval: A Comprehensive Study,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 3972e4a91194c260d236c50671e39282ae0384e9,Multipoint infrared laser-based detection and tracking for people counting,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 39674d06b0df1df8d29f7a68d6588d5a94f1414c,Fully automated blink detection for uveal melanoma radiotherapy,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu, 39af06d29a74ad371a1846259e01c14b5343e3d1,Structure-Aware Data Consolidation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 39787dde76648bea72854aab06a003ff717423a6,Maximum-Margin Coupled Mappings for cross-domain matching,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +398b1f4e3402faf92c47187efd29c746d51a08ca,An efficient method for face recognition under varying illumination,China,China,China,35.86166000,104.19539700,edu, 39082dd549ee32805f48cdac3ede7d8537696afe,Automatic Face Recognition Adaptation via Ambient Wireless Identifiers,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, +b6d5b71f78226c8696d7502e4514feb575088979,Selecting and evaluating data for training a pedestrian detector for crowded conditions,"Roke Manor Research Romsey, Hampshire, UK","Roke Manor Research Romsey, Hampshire SO51 0ZN, UK","Old Salisbury Ln, Romsey SO51 0ZN, UK",50.99941600,-1.51983300,company, b6049a15e204327e44b6d1ee3a1148bd7e21c635,Single view image based — 3D human pose reconstruction,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu, +b64a94c42df080196acb74cd06847297e361ff62,Pedestrian detection based on DCT of multi-channel feature,China,China,China,35.86166000,104.19539700,edu, +b6685941588febbf66f9bf6a074cd548bc8a567f,Proficient facial expression recognition using HLACLF extraction with a bank of Bayesian classifiers for recognition,India,India,India,20.59368400,78.96288000,edu, b664dc4902902b3753ea862378f878487b13cc22,Employing vector quantization algorithm in a transform domain for facial recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +b63246b95d5711486ddec96c214316f885a52b18,Automatic Face Segmentation and Facial Landmark Detection in Range Images,"IMAGO Research Group, Universidade Federal do Paraná, Curitiba-PR, Brazil","IMAGO Research Group, Universidade Federal do Paraná, Curitiba-PR, Brazil","Rua XV de Novembro, 1299 - Centro, Curitiba - PR, 80060-000, Brazil",-25.42690810,-49.26176580,edu, b69bcb5f73999ea12ff4ac1ac853b72cd5096b2d,Fully Automatic Facial Action Recognition in Spontaneous Behavior,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +b61cf5daf24c5d66110cf0ec6c32ca39f252c0ae,Similarity metric learning for face verification using sigmoid decision function,China,China,China,35.86166000,104.19539700,edu, +b674bacb45c1c96e9c93792019478a7760fbe7a6,Tracking multiple pedestrians through detection failures in videos,China,China,China,35.86166000,104.19539700,edu, +b6cff4ba590eab964bc49e079ed1a72a49d9e3e3,Multiple object tracking based on motion segmentation of point trajectories,"ECE/UPATRAS, Patras, Greece","ECE/UPATRAS, Patras, Greece","Panepistimioupoli Patron 265 04, Greece",38.28833560,21.78864870,edu, +b6aa10c634aeaf1af841ffcdb2fe7d3825f1870b,Identity authentication system using face recognition techniques in human-computer interaction,China,China,China,35.86166000,104.19539700,edu, b60119a85720ac9c85a69f6eea3694cecfa77b6d,A detail enhancement strategy for face sketch synthesis based on NSST,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, b67e6f9c38d9cd2c41fa906e177b449094159039,Multi-race age estimation based on the combination of multiple classifiers,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, b68452e28951bf8db5f1193eca3a8fd9e2d0d7ef,Approximate radial gradient transform based face recognition,Mangalore University,Mangalore University,"Mangalore University, LR, ದಕ್ಷಿಣ ಕನ್ನಡ, Bantwal taluk, Dakshina Kannada, Karnataka, 574153, India",12.81608485,74.92449278,edu, b6bbaa26f19ced1ce357d5bce903d772d5a49102,Privileged Information-Based Conditional Structured Output Regression Forest for Facial Point Detection,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +b61fd19071b887e7f7b91c1473af9fc653a560d7,A Deep Learning Approach For Pedestrian Segmentation In Infrared Images,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, b6a23f72007cb40223d7e1e1cc47e466716de945,Ordinary preserving manifold analysis for human age estimation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, b6c2a7b6e36e2a9f8c9eed7aa40d70d09d2c1706,Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, b6bee0dfbdfd2ce16567a36cf495001e6e7e2b24,Real-Time Vehicle Make and Model Recognition Based on a Bag of SURF Features,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, @@ -44,27 +66,36 @@ b68f55bab12ca50b033d8b5c773ce5fe88c5923d,Human action recognition with DeepActio b69e7e2a7705a58a0e3f1b80ae542907b89ce02e,A depth video-based facial expression recognition system utilizing generalized local directional deviation-based binary pattern feature discriminant analysis,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu, b6c00e51590c48a48fae51385b3534c4d282f76c,3D-Model-Based Video Analysis for Computer Generated Faces Identification,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, b63b6ed78b39166d87d4c56f8890873aa65976a2,Nonverbal communication with a multimodal agent via facial expression recognition,"University of Valladolid, Spain","University of Valladolid (Spain), Dep. Of Systems Engineering and Automatic Control, Industrial Engineering School","2061 Rathbone Hall, 66506, 1701B Platt St, Manhattan, KS 66502, United States",39.19063310,-96.58404850,edu, +b6601a8e30751770baaa9ac429d2592451f9d4ac,Feature combination for binary pattern classification,India,India,India,20.59368400,78.96288000,edu, +b68875e99baa9118a6df314e947d6fbfa78e29d6,Human skin detection using histogram processing and Gaussian Mixture Model based on color spaces,India,India,India,20.59368400,78.96288000,edu, b68e1fe527cd37e29d87a9540a5d62c5ab067b8a,Toward Ubiquitous Assessment of Neonates' Health Condition,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, b695052732594b3fb50d4dd8cf3b6bcafc65da7c,Effective transfer tagging from image to video,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, b6f15bf8723b2d5390122442ab04630d2d3878d8,Dense 3D face alignment from 2D videos in real-time,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, cd2f8d661ea2c6d6818a278eb4f0548751c3b1ae,Improving CNN Performance Accuracies With Min–Max Objective,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, cdfd6930edf117c80ba9db0961e61a9576e85f3b,A Spatio-Temporal CRF for Human Interaction Understanding,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu, cd422f5ac7781a4f313e07f1268589ddba845a79,Real-Time People Tracking in a Camera Network,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, +cd74d606e76ecddee75279679d9770cdc0b49861,Transfer Learning of Structured Representation for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +cd8b6a831c0120a0f22befa500bdaf11eabd3439,An increment coefficient method for face recognition,China,China,China,35.86166000,104.19539700,edu, cd1347c9bdf48198dc0e323b8d579b8838df6fb5,Coupled ensemble graph cuts and object verification for animal segmentation from highly cluttered videos,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, cd6c2ae00157e3fb6ab56379843280eb4cbb01b4,Robots with language: Multi-label visual recognition using NLP,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, cdfa7dccbc9e9d466f8a5847004973a33c7fcc89,Multiple Subcategories Parts-Based Representation for One Sample Face Identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, cd841bdd90447085542fa3a6a422437e97edddc8,Preserving spatial information and overcoming variations in appearance for face recognition,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, cd85f71907f1c27349947690b48bfb84e44a3db0,Visual Pattern Discovery and Recognition,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +cd27e8dcd5e4b495d5a0d0094f8fab72bb3b1295,Plantation monitoring and yield estimation using autonomous quadcopter for precision agriculture,"Uurmi Systems Lab, Hyderabad, India","Uurmi Systems Lab, Hyderabad, India","8-2-268/28/N, Banjara Hills Road no 2, Banjara Hills, Hyderabad, Telangana 500034, India",17.42802440,78.43340070,edu, +cde66b2f8c7f2e8b808073cc82f49fecfa0da04d,QRKISS: A Two-Stage Metric Learning via QR-Decomposition and KISS for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, cd54941cc46656005d31b1b24e3a002a7acd5b3f,An audio-visual corpus for multimodal automatic speech recognition,Gdansk University of Technology,Gdansk University of Technology,"PG, Romualda Traugutta, Królewska Dolina, Wrzeszcz Górny, Gdańsk, pomorskie, 80-233, RP",54.37086525,18.61716016,edu, cdcdaf29cca23483ee187fb0c480f3a3e45d9d30,MGA for feature weight learning in SVM —a novel optimization method in pedestrian detection,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, cd6b6a7d559a204920ee1e13235e461362f343dd,Real-time human detection based on gentle MILBoost with variable granularity HOG-CSLBP,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, cd3b9597c7f182e31b9943bc67a1a918ff0012aa,Ensemble of Deep Object Detectors for Page Object Detection,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu, +cd64530a910ba28cbd127c78913dd787184f8e6d,Asymmetric region Local Binary Pattern operator for person-dependent facial expression recognition,India,India,India,20.59368400,78.96288000,edu, cd61c4253eafb8ae5d6131f4ab55bdcbf1586e40,Image saliency detection for multiple objects,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, cd147db3a3f1af79d97c71f708b3f02c1d3d0724,Symbiotic Tracker Ensemble Toward A Unified Tracking Framework,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, cda8fd9dd8b485e6854b1733d2294f69666c66f7,Activity recognition in unconstrained RGB-D video using 3D trajectories,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, cd6aace4f2e7b95e3069e708ebca1e9082ae0559,Expression and occlusion invariant 3D face recognition based on region classifier,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, cdf0dc4e06d56259f6c621741b1ada5c88963c6d,Makeup-insensitive face recognition by facial depth reconstruction and Gabor filter bank from women's real-world images,Semnan University,Semnan University,"دانشگاه سمنان, بزرگراه امام رضا, شهرک مسکن مهر مصلی, ناسار, سمنان, بخش مرکزی, شهرستان سمنان, استان سمنان, ‏ایران‎",35.60374440,53.43445877,edu, +cd7551569c460c19139377a90d554b57b506b831,Multi-pose face detection for accurate face logging,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, cd55fb30737625e86454a2861302b96833ed549d,Annotating Unconstrained Face Imagery: A scalable approach,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +cd87eb67fcb32cc4e0fc0503d9dcb5766298602b,"The influence of camera shakes, harmful occlusions and camera misalignment on the perceived quality in user generated video",Distributed Multimedia Systems Technical University of Darmstadt,"Distributed Multimedia Systems Technical University of Darmstadt, Germany","Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 5375a3344017d9502ebb4170325435de3da1fa16,Computer Vision – ACCV 2012,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 53c3f71f5ea3f93c33e5d68813f24135cb5ac6af,Can holistic representations be used for face biometric quality assessment?,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 5342b6e9ecdc993da2cfd992b4939fcc6fba231b,Egocentric Daily Activity Recognition via Multitask Clustering,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu, @@ -74,7 +105,9 @@ cd55fb30737625e86454a2861302b96833ed549d,Annotating Unconstrained Face Imagery: 5392e33c69dfeaaf5b7b5743da7e3b79555ea371,Algorithms for 3D-Assisted Face Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 53b84c6887bb5c0a02e15b581132eb38f4a69bec,A Multiscale Fusion Convolutional Neural Network for Plant Leaf Recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 53f5cb365806c57811319a42659c9f68b879454a,Research on face recognition based on deep learning,Shenyang Normal University,"College of Software, Shenyang Normal University, Shenyang, China","Fanglin Rd, Shenbei Xinqu, Shenyang Shi, Liaoning Sheng, China",41.91299790,123.41795810,edu, +53449d684a621f299030bc2078d32774abfae7e7,An integrated method of copy-move and splicing for image forgery detection,India,India,India,20.59368400,78.96288000,edu, 53df8b8f6fc1b2e4631a08c2dfce2e8978b0da54,A video cloud platform combing online and offline cloud computing technologies,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +53d39f9260c6ee29dbf118382be91ea09475e628,Interactive objects retrieval with efficient boosting,"INRIA, Rocquencourt, France","INRIA, Rocquencourt, France","Domaine de Voluceau, 78150 Rocquencourt, France",48.83782810,2.10300580,edu, 53873fe7bbd5a2d171e2b1babc9cacaad6cabe45,Coupled Dictionary Learning for the Detail-Enhanced Synthesis of 3-D Facial Expressions,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 539f55c0e2501c1d86791c8b54b225d9b3187b9c,Low-Rank Latent Pattern Approximation With Applications to Robust Image Classification,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 535cdce8264ac0813d5bb8b19ceafa77a1674adf,Discriminative Lasso,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, @@ -83,10 +116,14 @@ cd55fb30737625e86454a2861302b96833ed549d,Annotating Unconstrained Face Imagery: 531b50e7b829547db9ad143d232bc07b1a64e3e3,Toward kinship verification using visual attributes,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 53a8cb1e6a6c29b75eb683c99551288a5d28c1a5,Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu, 53197621c4f41ab4e35f3bb27224c6fde0938a60,Combination of computer vision detection and segmentation for autonomous driving,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +53282ff3b130e9503c5d9e8ae77a2d63ac68e07c,Two-stage scheme for false alarm suppression on fast face detection,China,China,China,35.86166000,104.19539700,edu, 539cb169fb65a5542c84f42efcd5d2d925e87ebb,A transfer learning approach to cross-database facial expression recognition,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, 53ebaaca2d09fa3d20b4aee6720781b1ff6fc6a3,A method for face gender recognition based on blocking-LBP and SVM,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 539085fb25edc3b9efee6577d709115ff8415015,Support Vector Metric Learning on Symmetric Positive Definite Manifold,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, +53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c,An optimized target tracking algorithm of online boosting,China,China,China,35.86166000,104.19539700,edu, 5304cd17f9d6391bf31276e4419100f17d4423b2,Local histogram specification using learned histograms for face recognition,Nanjing Normal University,Nanjing Normal University,"南京师范大学仙林校区, 敏行路, 仙林大学城, 栖霞区, 南京市, 江苏省, 210046, 中国",32.10668110,118.90863081,edu, +53fdcc3a5a7e42590c21bbb4fe90d7f353ca21e5,Local appearance modeling for objects class recognition,"LIRIS, Université de Lyon, UMR CNRS 5205, Université Lyon 2, Bron, France","LIRIS, Université de Lyon, UMR CNRS 5205, Université Lyon 2, Bron, France","7 Passage du Vercors, 69007 Lyon, France",45.72803070,4.82594290,edu, +53d62069f115cdcedec90ee6b7249281039f8272,An Enhanced Histogram of Oriented Gradients for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu, 5302df3216856b0c54267455078c206948c8d545,14.6 A 0.62mW ultra-low-power convolutional-neural-network face-recognition processor and a CIS integrated with always-on haar-like face detector,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 53e34ff4639806b7599c846f219c02b025da9d13,Feature selection for facial expression recognition based on mutual information,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, 530914de437419c103f7aa2cc687eaf53972d785,Transparency in Social Media,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, @@ -100,25 +137,34 @@ cd55fb30737625e86454a2861302b96833ed549d,Annotating Unconstrained Face Imagery: 1442f7813f2a14c14f977b2fff833f5c502db59a,Tracking Multiple Maneuvering Targets Using Integer Programming and Spline Interpolation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 14bf36c03e6fd5171794a2d56d18748b1ab3fd17,Challenges and design space of gaze-enabled public displays,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 14d037b6c84df142a3f60e21a4afab834d947885,Mark Yourself: Road Marking Segmentation via Weakly-Supervised Annotations from Multimodal Data,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +14f6309369cc8d4826df11522de318b266df3bd5,Delving deeper into convolutional neural networks for camera relocalization,China,China,China,35.86166000,104.19539700,edu, 142b46642dd46566f7be8c6263dfc6bf13a8b0dd,S2L: Single-Streamline For Complex Video Event Detection,Communication University of China,Communication University of China,"中国传媒大学, 朝阳路, 定福庄, 朝阳区 / Chaoyang, 北京市, 100024, 中国",39.91199955,116.55189141,edu, 14efb131bed66f1874dd96170f714def8db45d90,Capturing AU-Aware Facial Features and Their Latent Relations for Emotion Recognition in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +14aed1b7c08c941b1d2ba6c1c2ffb6255c306c74,Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations,Polytechnique Montréal,"Laboratoire d’interprétation et de traitement d’images et vidéo, Polytechnique Montréal, Montreal, Canada","2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada",45.50438400,-73.61288290,edu, 14f639a4c49280a4886f9590402d7651b1b042a4,Face recognition based on random subspace method and tensor subspace analysis,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 142e233adceed9171f718a214a7eba8497af4324,A new transfer learning Boosting approach based on distribution measure with an application on facial expression recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +146b852de824ac9e105175ec0d82346e9f9cf083,Biometric data software representation in distributed computing architectures,Romania,Romania,Romania,45.94316100,24.96676000,edu, 141c9f6817331a6f3cccf82ebda5c8fd66c88b98,Visual Question Answering: A Tutorial,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 14eeb1ed623c7c2be0414c75f696523d46ae45d5,"A Novel Pedestrian Detection Method Based on Combination of LBP, HOG, and Haar-Like Features",Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, 14d00c5949bad75f888a4b8eb0f9385d71fe0be8,Extracting sclera features for cancelable identity verification,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +142f2241bf5205f5c270141cfa6c0e9c4666601b,Face recognition based on discriminant waveletfaces,China,China,China,35.86166000,104.19539700,edu, 14ae16e9911f6504d994503989db34d2d1cb2cd4,Facial expression recognition using bag of distances,National Taichung University of Science and Technology,National Taichung University of science and Technology,"臺中科大, 129, 三民路三段, 錦平里, 賴厝廍, 北區, 臺中市, 40401, 臺灣",24.15031065,120.68325501,edu, 10df1d4b278da991848fb71b572f687bd189c10e,Key frame extraction for salient activity recognition,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 104ee18b513b52386f871e959c1f9e5072604e93,A new dataset for hand gesture estimation,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 10bf35bf98cfe555dfc03b5f03f2769d330e3af9,Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +1047af2458917a7924b9fae64773ebc3aae06748,Recognition between smiling and neutral facial display with power LBP operator,Silesian University of Technology ul. Akademicka 16,"Institute of Automatic Control, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland","Akademicka 16, 44-100 Gliwice, Poland",50.28870600,18.67726600,edu, 10e2f2ad1dedec6066e063cb2098b089b35905a8,Crowd Scene Understanding from Video: A Survey,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 10d46f5d09c0d334e1d29779fdefebafc2bc67f7,Markerless real-time garment retexturing from monocular 3D reconstruction,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 1015ac3d9d9b93227e59328160de09c8bc2c6d2c,Boosted dynamic Active Shape Model,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, 10f4bbf87a44bab3d79e330e486c897e95f5f33f,An Experimental Evaluation of Three Classifiers for Use in Self-Updating Face Recognition Systems,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, 10b06d05b8b3a2c925b951a6d1d5919f536ffed4,BeFaced: a casual game to crowdsource facial expressions in the wild,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +101c0e66ad693e357bd42f1de310fde3390e8595,Improving Bag-of-Words model with spatial information,The University of Waikato,"The University of Waikato, Knighton Road, Hamilton, New Zealand","Hillcrest, Hamilton 3216, New Zealand",-37.78686110,175.31845790,edu, 10f2b8188c745d43c1580f5ee6de71ad8d538b4d,Affect Recognition using Key Frame Selection based on Minimum Sparse Reconstruction,Bahçeşehir University,Bahcesehir University,"BAU Galata, 24, Kemeraltı Caddesi, Müeyyedzade, Beyoğlu, İstanbul, Marmara Bölgesi, 34425, Türkiye",41.02451875,28.97697953,edu, 10061bcb0fa8306b5479914c3e9fe889c5ed5c9b,Real-time 3D Face-Eye Performance Capture of a Person Wearing VR Headset,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, +10acb3445cbd8224f1ab6616f00b212586bbb967,Face super-resolution using a hybrid model,North China University of Technology,"Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, 10d3c60f08df6b6e6eb68ef5709f9ac2b6313f0c,3D human pose estimation from image using couple sparse coding,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, +10f16af880a8c7127c1b343a25fdc936c2bd5b11,Face recognition approach based on 2D discrete fractional Fourier transform,"Henan University of Technology, Zhengzhou","College of Information Science and Engineering Henan University of Technology Zhengzhou, 450001, P.R. China","100 Lianhua St, Zhongyuan Qu, Zhengzhou Shi, Henan Sheng, China, 450066",34.82949500,113.55171500,edu, +10791a00b28ace9729895f3d287a7147acdc8944,When to Learn What: Deep Cognitive Subspace Clustering,China,China,China,35.86166000,104.19539700,edu, 10559503926fe22dbb382c31541b0eee5c2cebd8,Adaptive appearance learning for human pose estimation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 10d68ad6411aecf321c1a590a481901623495181,Crowd Escape Behavior Detection and Localization Based on Divergent Centers,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, 107a293f2d8b104d70d7530e27d5e19566be968a,Eyes location method based on the adaboost algorithm and block integral projection,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, @@ -127,22 +173,30 @@ cd55fb30737625e86454a2861302b96833ed549d,Annotating Unconstrained Face Imagery: 10d6fe566125597195cf985084347139a8cdad1e,Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 10ada578e2c7b33754091bf14c0d98b9e532e6fa,Nuclear Norm-Based 2DLPP for Image Classification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 10ef80d27640c2da1012b5a40d672832ecb5f333,Learn to Detect Objects Incrementally,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, +10aff52a74c75742e6b7379e581a6760f80ae8f9,Multimodal biometrie recognition using human ear and profile face,India,India,India,20.59368400,78.96288000,edu, +100b416ac4c0867dd683e75249941a4a6e178071,Pre collision detection system for pedestrian safety based on HOL,Mohammed V University,"GSCM-LRIT, Faculty of Sciences, Mohammed V University, PO.Box 1014, Rabat, Morocco","Avenue Ibn Batouta, Rabat, Morocco",34.00765980,-6.83825970,edu, 10f74097f65d3e80a79a271dcdcd9b6159a1f58d,Benchmark datasets for 3D computer vision,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 1050cd9bf281d0b7367c03d931e6e0b4fc08ccd3,Facial expression recognition via deep learning,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 10cb39e93fac194220237f15dae084136fdc6740,Informativeness of Degraded Data in Training a Classification System,"Space and Naval Warfare Systems Center Pacific, San Diego, CA","Space and Naval Warfare Systems Center Pacific, San Diego, CA, 92152, United States","53560 Hull St, San Diego, CA 92152, USA",32.70865800,-117.24724910,mil, +103b33d0006cae8fdbc9998b3136264771cfe025,Face recognition using Homomorphic Filtering as a pre-processing technique,India,India,India,20.59368400,78.96288000,edu, 1b9a63f103e15400371a52d48cf4746cb048a037,Individuals motion models based on probabilistic distribution profiles,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, 1b5da7547014010632c699edf7d1a459bea65fa5,Face Recognition using Dual-Tree Wavelet Transform,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, +1be15c1b5755c6176b2894abf05aafd15e43d6d9,Monocular 3D human pose estimation by classification,India,India,India,20.59368400,78.96288000,edu, 1bb737b69878e8e9ce6a5b6a3c87856521c7e9a0,A Deep Learning-Based Stalk Grasping Pipeline,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1b79c2e3816eead394145f2f1d12d3314431a035,Local structured representation for generic object detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 1b1eb9b758676f9b249ef17bb473cfd38c11e62d,A novel face super resolution approach for noisy images using contour feature and standard deviation prior,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 1b8541ec28564db66a08185510c8b300fa4dc793,Affine-Transformation Parameters Regression for Face Alignment,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +1b4add23ab3e3ce40d8ec48120bd710d8b53d2c2,Locality preserving partial least squares for neighbor embedding-based face hallucination,China,China,China,35.86166000,104.19539700,edu, 1bd9db88bdab930f0dd380942b65c1449383166b,Robot Classification of Human Interruptibility and a Study of Its Effects,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +1b55e82aa07b9e0009627e1d44a52b37ee26e24d,Information Theoretic Subspace Clustering,"Alibaba Group, Beijing, China","Alibaba Group, Beijing, China","400 S El Camino Real #400, San Mateo, CA 94402, USA",37.56186560,-122.32511340,company, 1b9976fea3c1cf13f0a102a884f027d9d80a14b3,Building a game scenario to encourage children with autism to recognize and label emotions using a humanoid robot,University of Hertfordshire,"Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United Kingdom","De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK",51.76175610,-0.24679970,edu, 1b3be14d267b3302fd0a0ac0be630cdf2a8ba00b,Color Image Reconstruction with Perceptual Compressive Sensing,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +1b51e3e98c8b2a2977cdfabc8483dd55c9dcad3f,Deep Objective Image Quality Assessment,"TU Wien, Vienna, Austria","TU Wien, Vienna, Austria","Karlsplatz 13, 1040 Wien, Austria",48.19865460,16.36846260,edu, 1b94c49c119c7490d2df6a2dd093e5ddd8bfba14,Unifying the Video and Question Attentions for Open-Ended Video Question Answering,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 1b7c12c65d29827713359ab998d01c2083070ad4,Enhanced pedestrian detection using deep learning based semantic image segmentation,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 1b3166913b72ac6faf6e6dbc5e96a9e53cd577c6,Weakly Supervised Object Detection via Object-Specific Pixel Gradient,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 1b3e7caf4b456e3762a827aa623c3fb88ca0b1a0,Contrapositive Margin Softmax Loss for Face Verification,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +1b1868679e392d87079407e5c161c9c6031f3543,Mobile Video Broadcasting Services: Combining Video Composition and Network Efficient Transmission,"TU Darmstadt, Darmstadt, Germany","TU Darmstadt, Darmstadt, Germany","Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 1b7cc9137b493791f4d1e38efbc2074f8fb9f3e9,"Data security in mobile cloud computing paradigm: a survey, taxonomy and open research issues",Thapar University,Thapar University,"Thapar University, Hostel Road, Patiala, Punjab, 147001, India",30.35566105,76.36581641,edu, 1b5acd1736f18e4fa202d88a80f774c6deea5733,Facial expression recognition based orthogonal supervised spectral discriminant analysis,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 1b2d9a1c067f692dd48991beff03cd62b9faebf2,Local primitive code mining for fast and accurate face recognition,"Nokia Research Center, Beijing","Nokia Research Center, Beijing","China, Beijing Shi, Xicheng Qu, XiDan, Xidan N St, 118号西单商场2楼 邮政编码: 100031",39.91229390,116.37418790,company, @@ -152,10 +206,12 @@ cd55fb30737625e86454a2861302b96833ed549d,Annotating Unconstrained Face Imagery: 1bd8ab47177997acb3b0cca4b6a801e6e6ec3eac,Fast eye localization without a face model using inner product detectors,"Universidade Estadual de Campinas, Brazil","Universidade Estadual de Campinas, Cx.P. 6176 Campinas-SP, CEP 13084-971, Brazil","Cidade Universitária Zeferino Vaz - Barão Geraldo, Campinas - SP, 13083-970, Brazil",-22.81843930,-47.06472060,edu, 1b0ef7ccad215c682a784d1aec4988b675d779b9,Image Captioning With Visual-Semantic Double Attention,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 1ba9d12f24ac04f0309e8ff9b0162c6e18d97dc3,Robust Face Recognition with Deep Multi-View Representation Learning,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, +1b1027b3b03ed19fe579a32319b3e251efebb3c7,On-chip Object Recognition System Using Random Forests,"Computational Intelligence and Systems Science, Tokyo Institute of Technology-Japan, Email: osman@isl.titech.ac.jp","Computational Intelligence and Systems Science, Tokyo Institute of Technology-Japan, Email: osman@isl.titech.ac.jp","2 Chome-12-1 Ookayama, Meguro, Tokyo 152-8550, Japan",35.60512290,139.68353020,edu, 1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0,Real-time visual tracking using compressive sensing,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, e4c3587392d477b7594086c6f28a00a826abf004,Face recognition by facial attribute assisted network,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, e4d7b8eb0a8e6d2bb5b90b027c1bf32bad320ba5,Learning Semantic-Aligned Action Representation,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, e43a18384695ae0acc820171236a39811ec2cd58,Kin-Verification Model on FIW Dataset Using Multi-Set Learning and Local Features,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu, +e474ddf96196f464dde83b2f018db9e1bcfeb87f,Image Analysis and Processing - ICIAP 2017,University of Milano-Bicocca,"University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy","Edificio U6, Università degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy",45.51838300,9.21345200,edu, e44dad288724b068fabfdc7967dd9fe0579f5251,POLSAR terrain classification using deep convolutional networks,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, e4ada3966980ac76b0173ff9a0c407759647f2fa,Cross-modal Retrieval by Real Label Partial Least Squares,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e4ecf4c117cbb4dd1fbcfe31d5076af94a51eda1,Automatic assessment mark entry system using local binary pattern (LBP) and salient structural features,Universiti Teknologi Petronas,Universiti Teknologi PETRONAS,"UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia",4.38304640,100.97001540,edu, @@ -163,45 +219,69 @@ e42f3c27391821f9873539fc3da125b83bffd5a2,An efficient method for face recognitio e47e8fa44decf9adbcdb02f8a64b802fe33b29ef,Robust Distance Metric Learning via Bayesian Inference,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, e465b7d0780b27da4b351a281a2711c63b42c7c1,Deep peak-neutral difference feature for facial expression recognition,Central China Normal University,"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China","Wuhan, Hubei, China",30.59284900,114.30553900,edu, e4ca0b623d81a6cfa4ad852e9ef931980e44dccc,Identifying concavity laws of attractiveness character for composite regions: Application through geo-tagged media check-ins,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu, +e4aaaf7034201fa94a9b9dc9bc8915cbe01c2c84,Multi-stage face recognition for biometric access,India,India,India,20.59368400,78.96288000,edu, e4421c1fdeca4917853804cf9218fd23084ad1dc,An effective approach to pedestrian detection in thermal imagery,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, e4d53e7f4c2052940841abc08f9574655f3f7fb4,TaiChi: A Fine-Grained Action Recognition Dataset,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, -e41246837c25d629ca0fad74643fb9eb8bf38009,Multi-color ULBP with wavelet transform in invariant pose face recognition,Universiti Teknologi Malaysia,"Computer Vision, Video and Image Processing (CvviP) Research Lab, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia","Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia",1.56327890,103.63821900,edu, +e41246837c25d629ca0fad74643fb9eb8bf38009,Multi-color ULBP with wavelet transform in invariant pose face recognition,Universiti Teknologi Malaysia,Universiti Teknologi Malaysia,"Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia",1.56327890,103.63821900,edu, e429c9e38b98a1f0cc99eb890d6789ec311fa42d,Mapping Forests: A Comprehensive Approach for Nonlinear Mapping Problems,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, e4e599fa3ca042d30321aa5502a135c1de87e688,Video question answering via multi-granularity temporal attention network learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, e4b1048e37c7f862392864dc980cdd35202f197f,Supervised local sparsity preserving projection for face feature extraction,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +e4d97b80f6293ef8565deb87b1006c5ed0439cb9,Pedestrian recognition through different cross-modality deep learning methods,"RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France","RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France","2 Rue Simone IFF, 75012 Paris, France",48.84162120,2.38448010,edu, e4878a4dd9f456060fc50e6c43e5a4141eaa968b,Support Vector Data Description for image categorization from Internet images,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, e414195d6e816a45e2b29c3694f22a707e29120c,Do you see groups?: The impact of crowd density and viewpoint on the perception of groups,Edge Hill University,Edge Hill University,"Edge Hill University, St Helens Road, West Lancashire, Lancs, North West England, England, L39 4QP, UK",53.55821550,-2.86904651,edu, e4e07f5f201c6986e93ddb42dcf11a43c339ea2e,Cross-pose landmark localization using multi-dropout framework,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, e4fa062bff299a0bcef9f6b2e593c85be116c9f1,Cascaded Elastically Progressive Model for Accurate Face Alignment,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +e4834d942338d7a0b9a57fe307784caa8ad4c5cf,Text-to-video: a semantic search engine for internet videos,China,China,China,35.86166000,104.19539700,edu, +e42200a4f407f3a58119a2abdb3b9b218ec8ac7d,Street Object Detection Based on Faster R-CNN,The Library of Wuhan University of Technology,"The Library of Wuhan University of Technology, Wuhan, 430070, P. R. China","Youyi Ave, Wuchang Qu, Wuhan Shi, Hubei Sheng, China",30.60485800,114.35776600,edu, e47fa7ddafd29a93859f6c6d5b05890888b9794f,Nonparametric Discriminant Analysis for Face Recognition,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, e473456063cf96539b2347fd37dfe4122c40ce91,Face alignment based on the multi-scale local features,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +e41876930495ee879b0d1cda9a85f82102884b17,Robotic arm control by fine-tuned convolutional neural network model,"Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye","Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye","İnönü Caddesi, No. 65, Gümüşsuyu, 34437 Beyoğlu/İstanbul, Turkey",41.03790740,28.99212370,edu, +e457ecb6ca9960c13e3c2c17fb4d79b20f879f67,A Multitask Cascaded Convolutional Neural Network Based on Full Frame Histogram Equalization for Vehicle Detection,"Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjing, 300308, China","Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjing, 300308, China","Tianjin, China",39.34335740,117.36164760,edu, +e41288da544ceaf97e0221ff6c25d389b8ed4dcd,Using random subspace to combine multiple features for face recognition,China,China,China,35.86166000,104.19539700,edu, e4819f0eb03bbd2164636c466763e458058135eb,A Discriminatively Learned Feature Embedding Based on Multi-Loss Fusion For Person Search,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +c2c3dd9683f522240c0cec76f924c824a751f4d3,Face recognition using Zernike and complex Zernike moment features,India,India,India,20.59368400,78.96288000,edu, c2cf74ba6f107aa9508e7ef1bad93916d944cb4c,Video Description with Spatial-Temporal Attention,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, c2e3764eeb933910b9be449b42eee1aed3970345,Maximum Confidence Hidden Markov Modeling,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +c259602c6c5ef3e3ee7397849a1a20c8561ba432,"Survey of the facial information cognition: Identity, affective and cross-culture analysis",China,China,China,35.86166000,104.19539700,edu, c2422c975d9f9b62fbb19738e5ce5e818a6e1752,$L_{1}$ -Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, c200e8f4b171777673cd543f017368629e4ff69c,RGB-D datasets using microsoft kinect or similar sensors: a survey,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, c244c3c797574048d6931b6714ebac64d820dbb3,Exploiting the locality information of dense trajectory feature for human action recognition,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, +c2b89235176e4bb2573421f02e72eddcbb2fd630,Comparative study of the descriptive features on the performance of re-identification,Otto-von-Guericke University,"Institute of Information Technology and Communications, Otto-von-Guericke University, Magdeburg, Germany","Universitätspl. 2, 39106 Magdeburg, Germany",52.14020530,11.64419910,edu, c24c9a9ca6edf52e533951b2700ec23234423c61,Sleep Analysis Using Motion and Head Detection,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +c253e241ae1a7a3fde79bdd62ce5095a0d18ed71,Real time smart car lock security system using face detection and recognition,India,India,India,20.59368400,78.96288000,edu, c2145bd76d944b7f2d7097c6370f1d7fd9d79ac9,Sparse cost-sensitive classifier with application to face recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, c2f83e4880b44579b7791516a5d9dfc175cb3620,FI-CAP: Robust Framework to Benchmark Head Pose Estimation in Challenging Environments,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, c2dc29e0db76122dfed075c3b9ee48503b027809,How scenes imply actions in realistic videos?,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +c2b135f8cef0fa5d95ffb8e9404ae1f467a39c42,Graph-Based Early-Fusion for Flood Detection,"Université de Lorraine, Vandoeuvre-lès-Nancy, France","Université de Lorraine-LORIA UMR 7503, Vandoeuvre-lès-Nancy, France","Campus Scientifique, 615 Rue du Jardin-Botanique, 54506 Vandœuvre-lès-Nancy, France",48.66579550,6.15842070,edu, c250c1b8f160e953c2ac0253860abd6a27b8f7f7,Video scene analysis: an overview and challenges on deep learning algorithms,Benha University,Benha University,"كلية الهندسة بشبرا جامعة بنها, شارع اليازجي, روض الفرج, القاهرة, محافظة القاهرة, 2466, مصر",30.08187270,31.24454841,edu, c270aff2b066ee354b4fe7e958a40a37f7bfca45,Expression recognition in the wild with transfer learning,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +c2fe8856caa3dfa282b2c4c11c5c5dcb3b57e14e,FACSHuman a Software to Create Experimental Material by Modeling 3D Facial Expression,University of Paris 8 - Vincennes,"University of Paris 8 - Vincennes, Saint-Denis","2 Rue de la Liberté, 93526 Saint-Denis, France",48.94491330,2.36350560,edu, c2474202d56bb80663e7bece5924245978425fc1,Localize heavily occluded human faces via deep segmentation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, c20b2d365186f4471950fbe1ef8755de90efc000,Face verification with fully dynamic size blocks based on landmark detection,Institute of Information Technology,Institute of Information Technology,"Institute of Information Technology, Sir Sayed Road, ফকিরাপুল, সিদ্দিক বাজার, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.72898990,90.39826820,edu, +c2776c5ae1aa8d640ad96f06a2c82707fe70a850,DeNet: An explicit distance ensemble model for person re-identification,China,China,China,35.86166000,104.19539700,edu, c291f0e29871c8b9509d1a2876c3e305839ad4ac,A single layer feedforward fusion network for face verification,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +c28e9523565104d233351665f69c63e6cf0d1424,Non-local similarity dictionary learning based face Super-Resolution,China,China,China,35.86166000,104.19539700,edu, c222f8079c246ead285894c47bdbb2dfc7741044,Face de-identification with expressions preservation,"Bordeaux INP, France","Bordeaux INP, LaBRI, PICTURA, UMR 5800, F-33400 Talence, France","Avenue des Facultés, 33400 Talence, France",44.80557160,-0.60519720,edu, c2b10909a0dd068b8e377a55b0a1827c8319118a,Low-Rank Discriminant Embedding for Multiview Learning,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, c2f1aa6395941438501653ea262df63c812e8f71,Non-parametric human segmentation using support vector machine,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +c27b1b92aa616d09befdb525e13e10bb959267bd,A manifold ranking based method using hybrid features for crime scene shoeprint retrieval,Dalian Maritime University,"Dalian Maritime University, Dalian, China","1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China",38.87004100,121.53414100,edu, +c259db2675f3bfb157f37e6c93b03d1d14dab4c7,Operating an alert system using facial expression,India,India,India,20.59368400,78.96288000,edu, c2508af974b8b1fd4ef097ef625e8bfd07474be0,Correlation-Based Face Detection for Recognizing Faces in Videos,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +c2b03ad0572786fd37c4a4a908356cbf85d79f75,Comparative Analysis of Decision-level Fusion Algorithms for 3D Face Recognition,Bocgazici University,"Bocgazici University, Turkey","Bebek Mh., 34342 Beşiktaş/İstanbul, Turkey",41.08475710,29.05103990,edu, +c2295cbb15d913fdcf6fb43f686296835fdd3333,Block based curvelet feature extraction for face recognition,Mohammed V University,"GSCM-LRIT, Faculty of Sciences, Mohammed V University, PO.Box 1014, Rabat, Morocco","Avenue Ibn Batouta, Rabat, Morocco",34.00765980,-6.83825970,edu, +c2f8eb9b3414c1777440a0adfcc8c0a3c3b646e4,Embedded face detection implementation,"Instituto de Microelectronica de Sevilla IMSE-CNM-CSIC C/ Américo Vespucio, s/n (esquina Leonardo da Vinci) Sevilla, Spain","Instituto de Microelectronica de Sevilla IMSE-CNM-CSIC C/ Américo Vespucio, s/n (esquina Leonardo da Vinci) Sevilla, Spain","Parque Científico y Tecnológico Cartuja, Calle Américo Vespucio, s/n, 41092 Sevilla, Spain",37.41218400,-6.00594500,edu, c2ff1af8ae5768aaaf52cd4809bde3cfe9bef962,Classification of human gait features with different apparel and walking speed,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, +c29fe5ed41d2240352fcb8d8196eb2f31d009522,Age estimation with dynamic age range,China,China,China,35.86166000,104.19539700,edu, c21c557a8afc8568d55a8e65b35ac2c5c516433c,Fast nonnegative tensor factorization based on graph-preserving for 3D facial expression recognition,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, c17c7b201cfd0bcd75441afeaa734544c6ca3416,Layerwise Class-Aware Convolutional Neural Network,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +c1c253a822f984de73f02d6a29c8c7cadc8f090c,Facial expression recognition using shape signature feature,India,India,India,20.59368400,78.96288000,edu, c1ee18611086ae698bbc48d7166c986512e176bf,Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, c1581b5175994e33549b8e6d07b4ea0baf7fe517,Online incremental clustering with distance metric learning for high dimensional data,"Kyoto University, Japan",The Kyoto University of JAPAN,"Yoshidahonmachi, Sakyo Ward, Kyoto, Kyoto Prefecture 606-8501, Japan",35.02624440,135.78082180,edu, +c11de1b8b46729f0c055d957b55f6801dbf03048,Image-based face verification and experiments,China,China,China,35.86166000,104.19539700,edu, +c14b4f44051c7ad34536f5dc87f1a1a7c656e9a6,Face recognition against variation in pose and background,"D.S.M. College, Parbhani, India","D.S.M. College, Parbhani, India","Masoom Colony, Parbhani, Maharashtra 431401, India",19.26536660,76.76105180,edu, c13211a15abd3ca187ef36b9f816891f901ba788,A multi-channel projection haar features method for face detection,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, c1611b8b68ecc1e4ab2c35a10af70698d26d32ef,A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, -c138c76809b8da9e5822fb0ae38457e5d75287e0,Random Forest Construction With Robust Semisupervised Node Splitting,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +c138c76809b8da9e5822fb0ae38457e5d75287e0,Random Forest Construction With Robust Semisupervised Node Splitting,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, c1c8fec3f30a3708dd146ea056d54a2fcfdb5880,Direct mining co-occurrence features for visual recognition: A branch and bound method,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, c15fb21410e91cc3663f6800a3baaf737171a27d,Face recognition based on the feature fusion in fractional Fourier domain,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu, c19e896775ce69b9fabae2c09625e8f49fbd5d76,A robust approach for long-term hand tracking,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, @@ -212,13 +292,20 @@ c1e02305a0fc236fb737afb02d81ff7d59f14787,Cognitive gravitation model-based relat c1091cc8049d18d8fb012309eb87b9531be469b6,Biometric Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, c1dc9dcd8e7f1e10b7da5addd222e5895a4485e1,DCT based region log-tiedrank covariance matrices for face recognition,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, c1764ccb75d19bb2fc5682dcba4d632b2cbf4bae,"From simulated speech to natural speech, what are the robust features for emotion recognition?",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +c1655b32a30165f7863ece52c54270662a28be0e,Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering,China,China,China,35.86166000,104.19539700,edu, +c140eb6fddbfa4eaf8fcabfaa4c205215bca6be2,HOG algorithm simplification and its impact on FPGA implementation: With applications in car detection,Romania,Romania,Romania,45.94316100,24.96676000,edu, c1660197f94786364e624efed4ba03c0d8ab6161,Robust dictionary learning with graph regularization for unsupervised person re-identification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, c1de9803bd0072f017a97c0503308a7b9b4f211b,"Analysis of Spatial, Temporal, and Content Characteristics of Videos in the YFCC100M Dataset",Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, c1a70d63d1667abfb1f6267f3564110d55c79c0d,Shadow compensation and illumination normalization of face image,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +c12ee7293bbfa51def56456928eb82a73a1da1d1,Efficient location selection for computations of expensive Log-Gabor features using directional enhancement: For robust localization of lane markings in cluttered scenes,India,India,India,20.59368400,78.96288000,edu, c1554498f20441839e85f7871b1afbf364185c2d,Design of high-performance pedestrian and vehicle detection circuit using Haar-like features,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu, +c12b241a8b6fcd28c6af8ed11c3746fd2a6fca0e,Hybrid LASSO and Neural Network estimator for gaze estimation,India,India,India,20.59368400,78.96288000,edu, +c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa,Multiple human tracking using 3D ellipsoidal model and SIR-Particle Filter technique,India,India,India,20.59368400,78.96288000,edu, c10223c113b0bd181d957180f897633abfdc023f,Efficient Decentralized Visual Place Recognition Using a Distributed Inverted Index,University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu, c165a5e05ececa9a4b4efd55c6fbfede8a06a8f7,Multi-scale local binary patterns based on path integral for texture classification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, c1073b5ab19f6b02a74279ddee33c830f49849f7,Drivable Road Reconstruction for Intelligent Vehicles Based on Two-View Geometry,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +c1d11b94c8fecaed79f97966d4bfa8381d32ad16,Deep Domain Adaptation for Face Recognition using images captured from surveillance cameras,India,India,India,20.59368400,78.96288000,edu, +c1d70ce31ad6a8df5e55f256f545fafe0e08b644,Attributes co-occurrence pattern mining for video-based person re-identification,Center for Research in Intelligent Systems University of California,"Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA","900 University Ave, Riverside, CA 92521, USA",33.97370550,-117.32806440,edu, c192af9d3c689c3e9ab60bf8e704f900587c3bf2,On discriminative properties of TPS warping parameters for 3D face recognition,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, c18a03568d4b512a0d8380cbb1fbf6bd56d11f05,A Wearable IoT with Complex Artificial Perception Embedding for Alzheimer Patients,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, c14fe5e69383fa9dfbd256965df06a99fae5558d,Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, @@ -230,6 +317,7 @@ c1173b8d8efb8c2d989ce0e51fe21f6b0b8d1478,Semi-Supervised Image-to-Video Adaptati 88e6002375b534d88d070f45f466a0fe4db80360,Florence faces: A dataset supporting 2D/3D face recognition,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 8882d39edae556a351b6445e7324ec2c473cadb1,Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 884a9ce87d4d2338cb97bf4c8df3cdb079a87d5e,Discriminant dictionary learning with sparse embedding on face recognition,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +88b02b654a0206e47979618ff95697f4cab7f6a1,Target re-identification based on adaptive incremental KISS measure learning,China,China,China,35.86166000,104.19539700,edu, 886a50f269ace4b140ddee9d4c7277743b27e250,Unsupervised Learning of 3D Model Reconstruction from Hand-Drawn Sketches,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 88d84fb1aab19f756c9d839e2a473834ae4b68b5,CNN-detector-based multiple homogeneous objects tracking under stochastic wide-range occlusions,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 88780bd55615c58d9bacc4d66fc2198e603a1714,Classification of facial-emotion expression in the application of psychotherapy using Viola-Jones and Edge-Histogram of Oriented Gradient,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, @@ -242,35 +330,51 @@ c1173b8d8efb8c2d989ce0e51fe21f6b0b8d1478,Semi-Supervised Image-to-Video Adaptati 8818ceb7bf41b07037a7396058b69a6da6dc06a6,Marginalized Denoising Dictionary Learning With Locality Constraint,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 88334a8ebab1cddf764a6813afad407388a851be,Extracting underwater object region proposal using BING method,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 886caeee31c23134adafd0b191e911650de85a24,Multimodal human centric object recognition framework for personal robots,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +88edb5a15fdb10fca4e8275016726210f1953421,Parking lot occupancy determination from lamp-post camera images,"Xerox Research Center in Webster, NY 14580, USA","Xerox Research Center in Webster, NY 14580, USA","Webster, NY 14580, USA",43.22266720,-77.41791040,edu, 88535dba55b0a80975df179d31a6cc80cae1cc92,Facial expression recognition with an optimized radial basis kernel,Selçuk University,Selçuk University,"Selçuk Üniversitesi, Ali Fuat Cebesoy Cad., Ardıçlı Mahallesi, Konya, Selçuklu, Konya, İç Anadolu Bölgesi, Türkiye",38.02420685,32.50570524,edu, +88b40b93bc00b91a42ba9392d20a6d01a5ae7592,Counting people in crowded scenes by video analyzing,China,China,China,35.86166000,104.19539700,edu, 880be65e233d4302744e2154b2ef172291ee9779,Human identity recognition based on facial images: Via supervised autoencoder features representation,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" +888e48a726840bc598399ee47033383c43faf68c,Face Verification with Gabor Representation and Support Vector Machines,Universiti Teknologi Malaysia,Universiti Teknologi Malaysia,"Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia",1.56327890,103.63821900,edu, +882190b77ac33c5c988b1b818afcf83e5ccf9c4f,Towards large-scale multimedia retrieval enriched by knowledge about human interpretation,University of Siegen,"University of Siegen, Siegen, Germany","Adolf-Reichwein-Straße 2, 57068 Siegen, Germany",50.91126130,8.02545330,edu, +88e093d90d0734b471ce2c1f58fa0ace6dec1101,Illumination invariant face recognition using convolutional neural networks,India,India,India,20.59368400,78.96288000,edu, 88c21e06ed44da518a7e346fce416efedc771704,Feature extraction via multi-view non-negative matrix factorization with local graph regularization,Fordham University,Fordham University,"Fordham University Lincoln Center Campus, West 61st Street, 1 West End Ave trade area, Lincoln Square, Manhattan, Manhattan Community Board 7, New York County, NYC, New York, 10023, USA",40.77106040,-73.98528070,edu, 889ff5c4001f2bf88bbd54941b15474b8273eaa1,Detecting symptoms of driver fatigue using video analysis,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu, 88691c3b74753a8bd67459896c8660deece9a2b0,Age-based human face image retrieval using zernike moments,Shiraz University,Shiraz University,"دانشگاه شیراز, میدان ارم, محدوده شهرداری منطقه یک - شهرداری شیراز, شیراز, بخش مرکزی شهرستان شیراز, شهرستان شیراز, استان فارس, 71348-34689, ‏ایران‎",29.63854740,52.52457060,edu, 885c37f94e9edbbb2177cfba8cb1ad840b2a5f20,Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 88493c1952000cde64c3f2294d36fc76fd23bf3f,Mgn: Multi-Glimpse Network for Action Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +88fb26bfcd7a52b3f6a5e9e6cf0ea04628d1049a,Pincode detection using deep CNN for postal automation,"CVPR Unit, Indian Statistical Institute, Kolkata 700108, India","CVPR Unit, Indian Statistical Institute, Kolkata 700108, India","Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India",22.64815210,88.37681700,edu, 887270a39b2b3a0ef9c098acd5cd20cc4ad9c99d,Face Verification With Local Sparse Representation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, +88682b2258312103ce9f1a440e3a890612547e65,DHeat: A Density Heat-Based Algorithm for Clustering With Effective Radius,China,China,China,35.86166000,104.19539700,edu, e072acd8a041b90cd86c39f90f235eea7feb37cf,Projection-optimal tensor local fisher discriminant analysis for image feature extraction,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, e029c672db4fdc209d3caed72c3a99ec32980469,Graph-Driven Diffusion and Random Walk Schemes for Image Segmentation,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, e09c9eafec429a541b862a2d645fb514267791d5,A temporally coherent neural algorithm for artistic style transfer,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +e028bef776114add5e323a6353c57c8c5a8fdfad,Introducing FoxPersonTracks: A benchmark for person re-identification from TV broadcast shows,CRIStAL (UMR CNRS 9189) - Lille 1 University - Villeneuve d'Ascq,"CRIStAL (UMR CNRS 9189) - Lille 1 University - Villeneuve d'Ascq, France","Université Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France",50.60971560,3.13728330,edu, e0446d14d25a178702c10752b803966a54b539e4,Video classification using compacted dataset based on selected keyframe,Kumamoto University,Kumamoto University,"熊本大学黒髪キャンパス, 熊本菊陽線, 中央区, 熊本市, 熊本県, 九州地方, 860-0863, 日本",32.81641780,130.72703969,edu, e0611abbdfac10d1d9183a437f027094a26c0cfd,Two-step Feature Extraction in a Transform domain for face recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, e03f69bad7e6537794a50a99da807c9df4ff5186,Unsupervised method of Domain Adaptation on representation of discriminatory regions of the face image for surveillance face datasets,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, e0ef2d1e9bcde8da814bf510a31ce3dc90919ed8,SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +e0b6defafb69fa3bbaec279b3cba92edf50c760b,R-theta local neighborhood pattern for unconstrained facial image recognition and retrieval,India,India,India,20.59368400,78.96288000,edu, e020b5a55f73ba41d780be572e771ea6da0f788e,Vehicle Intersection Collision Monitoring Algorithm Based on VANETs and Uncertain Trajectories,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, e029d87365f706193e02c2fbdbe6dee97eb796a9,A convergent solution to two dimensional linear discriminant analysis,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, e084b0e477ee07d78c32c3696ea22c94f5fdfbec,Semi-supervised visual recognition with constrained graph regularized non negative matrix factorization,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, e054919d68b963bf484b5c9f5c73aa834018736b,Using Video to Automatically Detect Learner Affect in Computer-Enabled Classrooms,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, e089462ee3d91074402f25eb45bcf961da9ee2cb,Single sample face recognition via lower-upper decomposition,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +e0a5db6594b592d46dbbbeca28a69248f0bfe421,Early Detection of Sudden Pedestrian Crossing for Safe Driving During Summer Nights,Keimyung University,"Keimyung University, Daegu, Korea","South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095",35.85505250,128.48712690,edu, e094acff9c906edb29ca4dd0188fc3992ddde076,Robust Object Tracking Based on Principal Component Analysis and Local Sparse Representation,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, e0b868e7dbf9e43d01082c5f24fcb9e3c01db81a,Sub-Selective Quantization for Learning Binary Codes in Large-Scale Image Search,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, e0ab926cd48a47a8c7b16e27583421141f71f6df,Human activity recognition using an ensemble of support vector machines,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, +e010304979c869d6084fb3ae902e48bb44f5fb73,Gender from Body: A Biologically-Inspired Approach with Manifold Learning,"BBN Technologies, Cambridge, USA","BBN Technologies, Cambridge, USA","10 Moulton St, Cambridge, MA 02138, USA",42.38980550,-71.14759860,edu, +e00beb10ab1bcabc47434d71bda06710ddf71c17,Energy-based blob analysis for improving precision of skin segmentation,Silesian University of Technology,"Institute of Informatics, Silesian University of Technology, Gliwice, Poland","Akademicka 2A, 44-100 Gliwice, Poland",50.29165100,18.67453100,edu, 44674b020e9ce46b16ffb72952a7cacb40d01657,Depth-aware neural style transfer,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, +4497c58a1c7dda2027b3de6385ca628c62d965cb,3D facial clone based on depth patches,"CENTRALESUPELEC/IETR UMR6164, Team FAST (Facial Analysis, Synthesis and Tracking) Avenue de la Boulaie, 35576, Cesson-Sévigné, France","CENTRALESUPELEC/IETR UMR6164, Team FAST (Facial Analysis, Synthesis and Tracking) Avenue de la Boulaie, 35576, Cesson-Sévigné, France","Campus de Rennes, Avenue de la Boulaie, 35510 Cesson-Sévigné, France",48.12523160,-1.62340120,edu, 448e1e7a993837fb3867ed15dba31d5ca1d526b5,Learning aggregated features and optimizing model for semantic labeling,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 443f4421e44d4f374c265e6f2551bf9830de5597,Effect of illumination on automatic expression recognition: A novel 3D relightable facial database,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 446f572df97f0b852a1a5f91015faf17944c1234,Share-and-Chat: Achieving Human-Level Video Commenting by Search and Multi-View Embedding,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 4444f498f328c901eefb3b908f6d226d1d2f2588,Zero-Shot Learning on Semantic Class Prototype Graph,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +447b57ff91e3572da718c18b2bc016839ce418e8,Towards automatic object annotations from global image labels,Augsburg University,"Augsburg University, Augsburg, Germany","Universitätsstraße 2, 86159 Augsburg, Germany",48.33282440,10.89656160,edu, +44347819fd94b20676862181ac4de55a5ca47a0c,A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors,India,India,India,20.59368400,78.96288000,edu, 44444f7e0e76e5ccac18c98600ddd09722dfa405,Cross-modal Metric Learning with Graph Embedding,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +443cd4e2f2f8a52fd090ae056352155d872a5b06,Performance enhancement of local vector pattern with generalized distance local binary pattern for face recognition,India,India,India,20.59368400,78.96288000,edu, 4438d4dd2dd096906c321b166b092ee51474804e,Robust Detection and Affine Rectification of Planar Homogeneous Texture for Scene Understanding,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 445e3ba7eabcc55b5d24f951b029196b47830684,Learning Cascaded Deep Auto-Encoder Networks for Face Alignment,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 44c4b799010f3136f0e793db1a3cc972947b937d,Dictionary-Based Face Recognition Under Variable Lighting and Pose,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, @@ -279,16 +383,22 @@ e0ab926cd48a47a8c7b16e27583421141f71f6df,Human activity recognition using an ens 444a3d811380318d6c01d952e751e0aa55588595,Real-life violent social interaction detection,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 446f114979c3026541c25883216925d9c12f9c1e,Fast and accurate face detection by sparse Bayesian extreme learning machine,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, 441d532b4207ca57b37eb210a79373c556d90846,Deep Multi-task Learning with Label Correlation Constraint for Video Concept Detection,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +442ee5a3f51ca93a642c20fa69326f3b17367565,Detection of rail surface defects based on CNN image recognition and classification,China,China,China,35.86166000,104.19539700,edu, 448284cba619e3d0cdf4c0023db91ec3fdcaa349,Hierarchical Data Association Framework with Occlusion Handling for Multiple Targets Tracking,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 441132dd4ec14991644723c9642ac3a63181753e,“Knock! Knock! Who is it?” probabilistic person identification in TV-series,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 44855e53801d09763c1fb5f90ab73e5c3758a728,Sentence Directed Video Object Codiscovery,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 44b827df6c433ca49bcf44f9f3ebfdc0774ee952,Deep Correlation Feature Learning for Face Verification in the Wild,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 44062a8f6da687b40fb393dea7712f6fd677c8d6,Basic research on facial expression recognition model with adaptive learning capability,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu, +d58e9c94206b72de545f7720c38f87f1c8b81839,OUHANDS database for hand detection and pose recognition,Finland,Finland,Finland,61.92411000,25.74815110,edu, +d56a262763c84d2bb21e9ea40f2517610f61d05f,Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval,China,China,China,35.86166000,104.19539700,edu, d5c8e530685c6496ca9513790416b2ed61e5f6b6,Tracking human poses in various scales with accurate appearance,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, d5f751d31a9d2d754d0d136d5b02c24b28fb94a0,Naming People in News Videos with Label Propagation,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu, d5bb641338e23d2d5921ddcc5d975248fb4074b6,Accurate extraction of human faces and their components from color digital images based on a hierarchical model,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, d5f12d8f91c6604711a958764aa942f443229c83,Robust Statistical Estimation Applied to Automatic Lip Segmentation,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +d5f289142cb4c8aa3dafa6da9f3d0212881af491,Performance comparison of some face recognition algorithms on multi-covariate facial databases,India,India,India,20.59368400,78.96288000,edu, +d5d5cc27ca519d1300e77e3c1a535a089f52f646,Stratified pooling based deep convolutional neural networks for human action recognition,China,China,China,35.86166000,104.19539700,edu, d54b1bdf0c42ea3d906cb93bf276307b77c1502f,Fingerprint liveness detection based on histograms of invariant gradients,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, +d5b335d78e16993fa018bc5261e1fe9bc3692ea2,Properties of information sets and information processing with an application to face recognition,India,India,India,20.59368400,78.96288000,edu, d5b445c5716952be02172ca4d40c44f4f04067fa,Person independent facial expression analysis using Gabor features and Genetic Algorithm,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, d5eac8636db83a1af680ce54d5c8272317edd63b,Non-negative dictionary learning with pairwise partial similarity constraint,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, d5bbfef5511d215bd3d3cfee3926d313d48c3001,Online Multi-Object Tracking Using Hierarchical Constraints for Complex Scenarios,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, @@ -299,71 +409,109 @@ d57ce0ff4acb2910c2d1afee2ebb7aa1e72a4584,Tensor-Jet: A tensorial representation d5b73e7b5f2a72404a6c80c9158ee1d109cda7e3,Dust collector localization in trouble of moving freight car detection system,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, d57279d90f7f5278ac56974485810865cdb1446d,Cox Processes for Counting by Detection,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu, d569c3e62f471aa75ed53e631ec05c1a3d594595,Facial expression analysis using shape and motion information extracted by convolutional neural networks,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +d52fa3620648792337809cb664efefec9dc0628f,Single online visual object tracking with enhanced tracking and detection learning,China,China,China,35.86166000,104.19539700,edu, +d567f2bbc6ce6d6acf0114e6514f31eff4da68f6,Study on determining the Big-Five personality traits of an individual based on facial expressions,Romania,Romania,Romania,45.94316100,24.96676000,edu, +d537da9292589a64ef62f0ce32b28613d1fb3e51,Emotional video scene retrieval system for lifelog videos based on facial expression intensity,"Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan","Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan","Matsugasaki Hashikamicho, Sakyo Ward, Kyoto, Kyoto Prefecture 606-8585, Japan",35.04966430,135.78204630,edu, d5488ccb99a3e7adab37d5c7ea05b163bc717d07,Leveraging appearance and geometry for kinship verification,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, d5c8280e49cf7f58356e37e1722ab429415204ff,Object detection at multiple scales improves accuracy,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +d5d6878f8c82727c3e145ed596a29023f7f14eeb,Accurate pedestrian detection using RGB-D camera,China,China,China,35.86166000,104.19539700,edu, d5909f8d82bff4b86cc36ecd000f251c1a76293b,High-fidelity facial reflectance and geometry inference from an unconstrained image,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, 35168a83fa1020c2f7b6501d19e07127d923fc8a,Super-resolution: a comprehensive survey,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 359742c64ed3700f021cc72685aca41c7ec166e4,Joint Estimation of Human Pose and Conversational Groups from Social Scenes,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +35535b2b03a9fcbcd8c09f753e1a69c977add020,Estimation of intersection traffic density on decentralized architectures with deep networks,India,India,India,20.59368400,78.96288000,edu, 35cb2329c0461c990bf65d9d6d71a43bba90ee99,Face recognition based on local uncorrelated and weighted global uncorrelated discriminant transforms,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 3579b0ddd571c1662b8c73abe7f0c268a9de0612,On double-level kernel self-similarities for 3D motion trajectory description and recognition,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu, +35683a325c4fa02e9335dccbca9b67e2b55b87ec,3D-Difference Theoretic Texture Features for dynamic face recognition,India,India,India,20.59368400,78.96288000,edu, 358e4bfda3921545db73efd15c6fa08cec92a4fe,Exploiting label consistency in structured sparse representation for classification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 35b95ccd1350c5207dca8fd16d3d9906aea1d7bb,2D expression-invariant face recognition with constrained optical flow,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 35265cbd9c6ea95753f7c6b71659f7f7ef9081b6,Graph Embedded Extreme Learning Machine,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +3528125426646dfb7b9ec2bfb937e1e70028bcbd,"An Improved Kernel Minimum Square Error Classification Algorithm Based on $L_{2,1}$ -Norm Regularization",China,China,China,35.86166000,104.19539700,edu, 3515f79514fda3d82bd8117f51986769d6f13b5c,Identification from ceiling: unconstrained person identification for tabletops using multiview learning,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 35a2b1a8ad8c67f3bb0961f690f407124e61c9ec,Gender classification in uncontrolled settings using additive logistic models,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 358cfdacd8b3f946a88690e934e6844fca6c2994,Joint features classifier with genetic set for undersampled face recognition,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, 35d272877b178aa97c678e3fcbb619ff512af4c2,A multi-scale fusion convolutional neural network for face detection,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, 35be6ce15347870395931af308f3e84f1e79db1c,Enhanced Gaussian Mixture Models for Object Recognition Using Salient Image Features,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, 355b26b7e9ca064ac474f4bb05f738ab11139b3c,Learning Robust Face Representation With Classwise Block-Diagonal Structure,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +35ccc836df60cd99c731412fe44156c7fd057b99,A cascade framework for masked face detection,China,China,China,35.86166000,104.19539700,edu, 356a144d2aa5cc5e74d178dae3963003871aa8a1,Learning Relative Aesthetic Quality with a Pairwise Approach,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 35bddbae441ae8d5f381b3aa343d12eae3196efa,Person re-identification by discriminant analytical least squares metric learning,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, 35883d90bbb84a598c85ef8a324f653da7b5a0fc,Semiconducting bilinear deep learning for incomplete image recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 35490b021dcdec12882870a31dce9a687205ab5c,Learning Bayesian Networks with qualitative constraints,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, +359c2483195a3217095dcf8738abe47181a0fc94,Person Reidentification via Discrepancy Matrix and Matrix Metric,China,China,China,35.86166000,104.19539700,edu, +35a19bed4f5c0499f5c03c14fc5765ccc2904a58,L1-L1 norms for face super-resolution with mixed Gaussian-impulse noise,"Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, 430073, China","Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, 430073, China","693 Xiongchu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073",30.50203760,114.39018220,edu, 359edbaa9cf56857dd5c7c94aaef77003ba8b860,Human Behavior Understanding,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +353a058f49a8c60b41e9cd28962f6060cf4f6646,The research of multimedia cloud computing platform data dynamic task scheduling optimization method in multi core environment,College of Humanities & Information of Changchun University of Technology,"College of Humanities & Information of Changchun University of Technology, Changchun, China","1016 Fuzhi Rd, Nanguan Qu, Changchun Shi, Jilin Sheng, China, 130122",43.78308800,125.42858700,edu, 35d90beea6b4dca8d949aae93f86cf53da72971f,Face tracking in low resolution videos under illumination variations,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 3566f27d6857ce82270bccad45759da955060a35,Locating facial features by robust active shape model,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 3528980fbad49fae95ec278d089bdf01b33445ad,A cost effective method for automobile security based on detection and recognition of human face,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +357e97b04375f09e9f4cfd45c69ecd9d7f0a15e1,ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars,Hewlett Packard Labs,Hewlett Packard Labs,"560 Oakmead Pkwy, Sunnyvale, CA 94085, USA",37.38607840,-121.98778070,edu, 35d42f4e7a1d898bc8e2d052c38e1106f3e80188,Human and algorithm performance on the PaSC face Recognition Challenge,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, 358ad3d1a9cda69d35a841edb8f819c69056f588,Locality Constrained Dictionary Learning for Nonlinear Dimensionality Reduction,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, +354650dd4057808bb8e6f080186ab9b85702b263,Bin-based weak classifier fusion of iris and face biometrics,"Center for Reasearch on Intelligent Perception and Computing, CASIA, China","Center for Reasearch on Intelligent Perception and Computing, CASIA, China","Haidian, China, 100080",39.98019600,116.33330500,edu, 35842f3b8f11918588687333920b2cf64599d76b,Facial image composition based on active appearance model,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 35251b35fa2ecf72c332e6492d1c587669fcfe94,Intelligent Computing Methodologies,Liverpool John Moores University,Liverpool John Moores University,"John Lennon Art and Design Building, Duckinfield Street, Knowledge Quarter, Liverpool, North West England, England, L3 5YD, UK",53.40507470,-2.97030029,edu, +355746e6e1770cfcc2e91479f8134c854a77ff96,Human mental states recognition under face occlusion,India,India,India,20.59368400,78.96288000,edu, +3519241c9ac13ca43e533844e2d3644d162dde22,Flower image retrieval with category attributes,Shenzhen Institute of Advanced Technology,Shenzhen Institute of Advanced Technology,"Tengfei Rd, LongGang ZhongXin Cheng, Longgang Qu, Shenzhen Shi, Guangdong Sheng, China, 518172",22.72147100,114.21548200,edu, 7f2f69e38fae79011f93d06b0ae5c0f15eab659c,Patch-Gated CNN for Occlusion-aware Facial Expression Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 7fcecaef60a681c47f0476e54e08712ee05d6154,Deeply learned attributes for crowded scene understanding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 7f7f57fb6548fbce752ac4ab0302d0b7ef29da06,A spectral feature based approach for face recognition with one training sample,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, +7f8fe6b9e3f1fc4cc6232eedc0f5e328469a30c3,A Riemannian analysis of 3D nose shapes for partial human biometrics,"Departement of Statistics, FSU, Tallahassee, FL 32306, USA","Departement of Statistics, FSU, Tallahassee, FL 32306, USA","Tallahassee, FL 32304, USA",30.44408470,-84.30003970,edu, 7fe7fe517119e39eab2ab7cc5f03103d9d1c03ee,Research of image deblurring based on the deep neural network,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +7f4292745f5169655f831ffa017aab9acd7a994c,Visual tracking based on stacked Denoising Autoencoder network with genetic algorithm optimization,China,China,China,35.86166000,104.19539700,edu, 7fcd03407c084023606c901e8933746b80d2ad57,Local classifier chains for deep face recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +7fa9b158d301ece512fb53e67deba7bb7506a1e1,Pedestrian detection based on multi-convolutional features by feature maps pruning,China,China,China,35.86166000,104.19539700,edu, 7f02f790f320194d5eccf7665066308e46f5d0e9,Coupled-View Based Ranking Optimization for Person Re-identification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 7fe2ab9f54242ef8609ef9bf988f008c7d42407c,Sequential Video VLAD: Training the Aggregation Locally and Temporally,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 7fb7ccc1aa093ca526f2d8b6f2c404d2c886f69a,A multi-view face database from Turkish TV series,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +7f2a7d076bd2fad956dc5103191e392fb11adc49,"Rapid, detail-preserving image downscaling",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 7f3c226f2ee3563461a4c5a2c323fb34beab80f5,Traffic sign recognition using visual attribute learning and convolutional neural network,University of Liverpool,University of Liverpool,"Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK",53.40617900,-2.96670819,edu, +7faa11c9f104977d49563b52387174b87c3ee8b0,Person re-identification using part based hybrid descriptor,India,India,India,20.59368400,78.96288000,edu, +7f44e5929b11ce2192c3ae81fbe602081a7ab5c4,Real-time recognition of cattle using animal biometrics,India,India,India,20.59368400,78.96288000,edu, 7f203f2ff6721e73738720589ea83adddb7fdd27,Face alignment under variable illumination,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 7f5346a169c9784ca79aca5d95ae8bf2ebab58e3,Two-level multi-task metric learning with application to multi-classification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 7fbee617687fb0ad9e4562a33bd2007c1c438992,ORGM: Occlusion Relational Graphical Model for Human Pose Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +7f1d7688c4923cab09bf0a548e6f1fc1dd916b51,Boundary aware image segmentation with unsupervised mixture models,Technical University Dortmund,"Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany","Emil-Figge-Straße 50, 44227 Dortmund, Germany",51.49219020,7.41413620,edu, 7f904093e6933cab876e87532111db94c71a304f,Evaluation of gender classification methods on thermal and near-infrared face images,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, +7f1078a2ebfa23a58adb050084d9034bd48a8a99,"Fisher discrimination-based $$l_{2,1} $$ l 2 , 1 -norm sparse representation for face recognition","Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China","Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, +7fe249644081e8b6e496867e4743321e7d3eff4f,Computer Vision - ACCV 2012 Workshops,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +7ffe0284db4581e814cdcdba48236e63c50a7d54,A New Approach for Automatic Face Emotion Recognition and Classification Based on Deep Networks,India,India,India,20.59368400,78.96288000,edu, +7f7452beabc21143e0e48a85da7d8d421abbfe86,Fast Optical Flow Estimation Based on the Split Bregman Method,China,China,China,35.86166000,104.19539700,edu, 7f43733b4126bcacb3f394cadeb82d9fb5966634,'Affective' computing and emotion recognition systems: the future of biometric surveillance?,Georgia Southern University,Georgia Southern University,"Georgia Southern University, Forrest Drive, Pine Cove, Statesboro, Bulloch County, Georgia, 30460, USA",32.42143805,-81.78450529,edu, 7f45292369a5214984b4a15c65330ada474b0150,Person re-identification with spatial appearance group feature,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +7f4040b482d16354d5938c1d1b926b544652bf5b,Competitive affective gaming: winning with a smile,"Universidade NOVA de Lisboa, Caparica, Portugal","Universidade NOVA de Lisboa, Caparica, Portugal","Calçada de Alfazina 2, 2825-149 Caparica, Portugal",38.66096400,-9.20581300,edu, 7fa5ba03236425c2b3023391ca3437df4e69a255,A Two-View Concept Correlation Based Video Annotation Refinement,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, a7da7e5a6a4b53bf8736c470ff8381a654e8c965,Combining partially global and local characteristics for improved classification,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, a79a109a1dcf103cbb929cc3807572683bd3c35a,Learn to Classify and Count: A Unified Framework for Object Classification and Counting,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, a7252d74d69a8dee603080eab8371cbca67cc9b6,Social signal extraction from egocentric photo-streams,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, +a7d804aca2243843df383a7f9e312c74980d6d9d,Facial feature extraction with a depth AAM algorithm,China,China,China,35.86166000,104.19539700,edu, a72e5d33361ed5331a4c8cea497df964f9ae6ba7,Face recognition accuracy of Gabor phase representations at different scales and orientations,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, a73c551da8d69f04e2be7c3f5c7125532e194935,A Research and Strategy of Objection Detection on Remote Sensing Image,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, a7a3ec1128f920066c25cb86fbc33445ce613919,Joint facial landmark detection and action estimation based on deep probabilistic random forest,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu, a72fca41dad5bbd99c237c06311faa52a4a36bce,Efficient ground object segmentation in 3D LIDAR based on cascaded mode seeking,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +a7127869e36c05e8bd0b7a99e645cf22d6651155,Similarity calculation for face verification with convolutional neural network,Kanazawa University,"Kanazawa University, Ishikawa, Japan","Kakumamachi, Kanazawa, Ishikawa Prefecture 920-1192, Japan",36.54710590,136.70740210,edu, +a735c6330430c0ff0752d117c54281b1396b16bf,Automatic location of facial landmarks for plastic surgery procedures,"Clínica Otocenter, Teresina, Piauí, Brasil","Clínica Otocenter, Teresina, Piauí, Brasil","Centro (Sul), Teresina - PI, 64001-300, Brazil",-5.09555590,-42.80658870,edu, a7edb6726667875e3ebebe17065779be7cbf5623,Efficient Cross-Domain Image Retrieval by Multi-Level Matching and Spatial Verification for Structural Similarity,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, a7dfe697959ae8b15eb795d4692a52c2a5856d88,CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, a7dd2bd186a97a984b5158ff3f7c0c4d17fac512,Sparse bilinear preserving projections,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +a73405038fdc0d8bf986539ef755a80ebd341e97,Conditional High-Order Boltzmann Machines for Supervised Relation Learning,China,China,China,35.86166000,104.19539700,edu, +a784fd9391cc7013c618186017bbf43b806fa004,Discriminative regularized metric learning for person re-identification,China,China,China,35.86166000,104.19539700,edu, +a7c88a4b6d575c64147a9eb2c79a57a9b3b54062,A Prediction-Correction Approach for Real-Time Optical Flow Computation Using Stereo,"ONERA - The French Aerospace Lab, Palaiseau, France","ONERA - The French Aerospace Lab, Palaiseau, France","8 Chemin de la Hunière, 91120 Palaiseau, France",48.71467230,2.23270940,edu, a78025f39cf78f2fc66c4b2942fbe5bad3ea65fc,A comparison of facial landmark detection methods,"Trakya University, Edirne, Turkey","Elektrik-Elektronik Mühendisliği Bölümü, Trakya Üniversitesi, Edirne, Türkiye","Edirne, Edirne Merkez/Edirne, Turkey",41.67712970,26.55571450,edu, a764a07699f59ef5277730c20af881585371be4f,Scalable multi-class geospatial object detection in high-spatial-resolution remote sensing images,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, a7531c0a3d6dba42425b890a299a96e4693465ec,Online stereo camera calibration from scratch,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, a7f188a7161b6605d58e48b2537c18a69bd2446f,An intelligent multi-modal affect recognition system for persistent and non-invasive personal health monitoring,"UtopiaCompression Corp., Los Angeles, CA","UtopiaCompression Corporation, 11150 W. Olympic Blvd, Suite 820, Los Angeles, CA 90064, USA","11150 W Olympic Blvd #820, Los Angeles, CA 90064",34.03927660,-118.43863880,company, +a77619c8d36c444cae62e767b33b2a8c4e30d4ee,Efficient large scale near-duplicate video detection base on spark,China,China,China,35.86166000,104.19539700,edu, a77f477cf52d3dd83b08ab7cf87acb2517e90587,Face recognition with info-margin maximization,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, a7a5d9a2dece15ddbab77b7ecc81294cfa1fafdb,Patterns of Behaviour Mediated by Cognitive Scripts and Emotional Attitudes - Context-Aware Engineering of Data Mining Systems,La Trobe University,La Trobe University,"La Trobe University, Keck Street, Flora Hill, Bendigo, City of Greater Bendigo, Loddon Mallee, Victoria, 3550, Australia",-36.77847540,144.29804700,edu, +a7767accf8ebfb51676062ce7102a3984f446a82,Using Multi-Stage Features in Fast R-CNN for Pedestrian Detection,LARSyS University of the Algarve,"Vision Laboratory, LARSyS University of the Algarve, Faro, Portugal","Estr. da Penha 139, 8005-139 Faro, Portugal",37.04397130,-7.97220790,edu, +a75d159bd04f5ff13aef1ac33abccdee27057d60,Mathematical Foundations and Generalisations of the Census Transform for Robust Optic Flow Computation,"Fachbereich Medizintechnik und Technomathematik, Standort Jülich, Fachhochschule Aachen, Jülich, Germany","Fachbereich Medizintechnik und Technomathematik, Standort Jülich, Fachhochschule Aachen, Jülich, Germany","Heinrich-Mußmann-Straße 1, 52428 Jülich, Germany",50.93622500,6.37523500,edu, a7ec294373ccc0598cbb0bbb6340c4e56fe5d979,Face Recognition with Relative Difference Space and SVM,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, a78818aa505beb2c4d0902f6d9dc04481aca3c0d,Simplified histograms of oriented gradient features extraction algorithm for the hardware implementation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, a713a01971e73d0c3118d0409dc7699a24f521d6,Age estimation based on face images and pre-trained convolutional neural networks,Università degli Studi di Milano,Università degli Studi di Milano,"Università degli Studi di Milano, Via Camillo Golgi, Città Studi, Milano, MI, LOM, 20133, Italia",45.47567215,9.23336232,edu, +a799babbbd56a047feee85d09e57e2c240c5f50c,Image describing based on bidirectional LSTM and improved sequence sampling,College of Computer Science. Chongqing University,"College of Computer Science. Chongqing University, Chongqing, China","China, Chongqing Shi, Shapingba Qu, ChongQing DaXue, 沙正街174号",29.56488000,106.46809700,edu, a7afa62f053dde1c33e904b980752a4f36629775,Multi-View Visual Recognition of Imperfect Testing Data,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, 8a83c15c7e4bdbb7924ac521d7f260d24ded442a,Normalized cutswith soft must-link constraints for image segmentation and clustering,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +8a0e2cc67b5567d3baf381b076adad6fbb8c7946,Customer Loyalty in Go-Food: The Antecedent of Satisfaction,"Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia","Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia",-6.36276380,106.82704820,edu, 8a17310abb249ce8fce8f409709b5395da32e0a6,Bundled Object Context for Referring Expressions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 8a9db3cb799922a7b1642a5b5d7361142de5d656,Multi-object tracking by expanding long-tracklets,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 8a2210bedeb1468f223c08eea4ad15a48d3bc894,Do you see what I see?: designing a sensory substitution device to access non-verbal modes of communication,University of Memphis,University of Memphis,"The University of Memphis, Desoto Avenue, Memphis, Shelby County, Tennessee, 38152, USA",35.11893870,-89.93721960,edu, @@ -374,10 +522,12 @@ a7afa62f053dde1c33e904b980752a4f36629775,Multi-View Visual Recognition of Imperf 8a63a2b10068b6a917e249fdc73173f5fd918db0,"A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases",University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, 8ac6d03bb57fa94967a33e54ea0fc10775a80be7,Lidar-based urban road detection by histograms of normalized inverse depths and line scanning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 8ac9faa5595729c5b799f5371068c60a20b01f16,Scene text script identification with Convolutional Recurrent Neural Networks,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +8a217389b365d06ae323fee744304067c8f62be7,Explainable and Interpretable Models in Computer Vision and Machine Learning,Radboud University Nijmegen,"Radboud University Nijmegen, Nijmegen, The Netherlands","Houtlaan 4, 6525 XZ Nijmegen, Netherlands",51.81670100,5.86527200,edu, 8ad9c753276254d4a3cf177d5c911b21892561bb,FATCHA: biometrics lends tools for CAPTCHAs,Sapienza University of Rome,Sapienza University of Rome,"Piazzale Aldo Moro, 5, 00185 Roma RM, Italy",41.90376260,12.51443840,edu, 8ad83c705f7794f4e35ff1f6b26777d6d0931091,Movement direction-based approaches for pedestrian detection in road scenes,Chung-Ang University,Chung-Ang University,"중앙대학교, 서달로15길, 흑석동, 동작구, 서울특별시, 06981, 대한민국",37.50882000,126.96190000,edu, 8af0af4545078d5b92a40cf7c2e95113496babce,"Recognition of adult images, videos, and web page bags",University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 8ae88dc7ba177128f89223f48921e3a74d8bf1ff,Person re-identification in TV series using robust face recognition and user feedback,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +8a09668efc95eafd6c3056ff1f0fbc43bb5774db,Robust Principal Component Analysis Based on Maximum Correntropy Criterion,China,China,China,35.86166000,104.19539700,edu, 8acab2740c5b43f1d72009f849c1a8802d98aef2,Smart Car [Application Notes],University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 8ac2d704f27a2ddf19b40c8e4695da629aa52a54,Expressions Recognition of North-East Indian (NEI) Faces,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, 8af21097f30eaaca67e8623bca6cb899e3a2c2a8,The florence 2D/3D hybrid face dataset,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, @@ -386,24 +536,32 @@ a7afa62f053dde1c33e904b980752a4f36629775,Multi-View Visual Recognition of Imperf 8a2bedaa38abf173823944f0de2c84f5b2549609,Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise,Anhui Polytechnic University,Anhui Polytechnic University,"安徽工程大学, 鸠江北路, 芜湖市, 芜湖市区, 芜湖市 / Wuhu, 安徽省, 241000, 中国",31.34185955,118.40739712,edu, 8accffd31d4969ef29cc8496b1628b4b3164d53f,A hand shape recognizer from simple sketches,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, 8a1e95b82d8cf27e0034e127091396efd4c8bd9e,Attribute learning for ship category recognition in remote sensing imagery,Paristech,"LTCI, CNRS, Télécom ParisTech, Université Paris-Saclay, 75013, France","3 Rue Michel Ange, 75016 Paris, France",48.84760370,2.26399340,edu, +8acfef0eb76fe38515f1cb742bd0fec8947058b0,Face recognition using Entropy Weighted Patch PCA Array under variation of lighting conditions from a single sample image per person,"Multimedia Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran","Multimedia Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran","Tehran Province, Tehran, N Kargar, Iran",35.73626370,51.38503190,edu, 8a38cd388847780dd6757d77b3eca8cff51bb182,Big Feature Data Analytics: Split and Combine Linear Discriminant Analysis (SC-LDA) for Integration Towards Decision Making Analytics,Charles Sturt University,Charles Sturt University,"Charles Sturt University, Wagga Wagga, NSW, 2678, Australia",-35.06360710,147.35522340,edu, 8aff9c8a0e17be91f55328e5be5e94aea5227a35,Sparse Tensor Discriminant Color Space for Face Verification,Raytheon BBN Technologies,"Raytheon BBN Technologies, Cambridge, MA, USA","10 Moulton St, Cambridge, MA 02138, USA",42.38980550,-71.14759860,company, 8a4893d825db22f398b81d6a82ad2560832cd890,Evaluating AAM fitting methods for facial expression recognition,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, cf54e9776d799aa183d7466094525251d66389a4,Key point localization for 3d model generation from facial illustrations using SURF and color features,Meiji University,Meiji University,"明治大学, 錦華坂, 猿楽町1, 猿楽町, 東京, 千代田区, 東京都, 関東地方, 101-0051, 日本",35.69750290,139.76139175,edu, +cf5384353e9285d92ecc59395cb1855168a22fcf,Learning people co-occurrence relations by using relevance feedback for retrieving group photos,Osaka University Osaka,"Osaka University Osaka, Japan","1-1 Yamadaoka, Suita, Osaka Prefecture 565-0871, Japan",34.82201390,135.52446760,edu, +cf01707bafd2850af6a46933a3029bc2a9aeecbf,Smartphone based face recognition tool for the blind,"Advanced Medical Electronics, USA","Advanced Medical Electronics, USA",United States,37.09024000,-95.71289100,edu, cf06e540e1cea9a915d8081cc75962f982a564a4,Enhancing sparsity via full rank decomposition for robust face recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +cff145873a9fc6a5a836b6f348fe2721ad659605,Image quality assessment based on noise detection,India,India,India,20.59368400,78.96288000,edu, cf192e801761d1d9351f5f5163f9f24970f88812,Logo localization and recognition in natural images using homographic class graphs,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, +cfba667644508853844c45bfe5d0b8a2ffb756d3,Robust gender classification using extended multi-spectral imaging by exploring the spectral angle mapper,India,India,India,20.59368400,78.96288000,edu, cf6b966a2d45fd44ef8f86cf0ba805cdc4d4ad57,Online multi-person tracking assist by high-performance detection,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, cfaf61bacf61901b7e1ac25b779a1f87c1e8cf7f,Application for video analysis based on machine learning and computer vision algorithms,Yaroslavl State University,Yaroslavl State University,"ЯрГУ им. Демидова (Экономический факультет), 3, Комсомольская улица, Кировский район, Ярославль, городской округ Ярославль, Ярославская область, ЦФО, 150000, РФ",57.62521030,39.88456560,edu, +cfef79c6ba4679e2c0ab902905701d39221b6f1f,A robust and imperceptible steganography technique for SD and HD videos,Panjab University,"UIET, Panjab University, Chandigarh, India","Chandigarh Rd, Sector 25, Chandigarh, 160036, India",30.74876290,76.75671910,edu, cfa40560fa74b2fb5c26bdd6ea7c610ba5130e2f,Subspace Learning for Facial Age Estimation Via Pairwise Age Ranking,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, cf6851c24f489dabff0238e01554edea6aa0fc7c,An analytical method for face detection based on image patterns of EEG signals in the time-frequency domain,Tokushima University,"Institute of Technology and Science, Tokushima University, 2-1 Minamijyousanjima, 770-8506, Japan","2 Chome-24 Shinkuracho, Tokushima, Tokushima Prefecture 770-8501, Japan",34.07010740,134.55979330,edu, cfea594615bfa443cb517fab14180354da8a3897,Semi-supervised vision-language mapping via variational learning,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, cf4c1099bef189838877c8785812bc9baa5441ed,Semantic-free attributes for image classification,"DCNS Research, Bouguenais, France","DCNS Research, 5 rue de l'Halbrane, 44340 Bouguenais, France","Rue de l'Halbrane, 44340 Bouguenais, France",47.15688090,-1.58571660,company, cf4e5206722ba16061982b885f8c7c86beacd27c,"Group-Level Emotion Recognition Using Hybrid Deep Models Based on Faces, Scenes, Skeletons and Visual Attentions",University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, +cf0ff92591563ab59e18449b79f058d1f9db9e35,Convolutional neural networks based scale-adaptive kernelized correlation filter for robust visual object tracking,China,China,China,35.86166000,104.19539700,edu, cfdbcb796d028b073cdf7b91162384cd1c14e621,A joint classification approach via sparse representation for face recognition,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, cf736f596bf881ca97ec4b29776baaa493b9d50e,Low Dimensional Deep Features for facial landmark alignment,"Samsung R&D Institute, Bangalore, India","Samsung R&D Institute, Bangalore, India","#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India",12.98035370,77.69751010,company, cf6fc9efa22a50d76123d3b2cba46202e20e9a5d,Ensemble of Piecewise FDA Based on Spatial Histograms of Local (Gabor) Binary Patterns for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, cfe4759ab0f730a73dfe6f07a4ba327c3e1a85cb,Infrared Pedestrian Segmentation Through Background Likelihood and Object-Biased Saliency,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, cf7a4442a6aad0e08d4aade8ec379c44f84bca8a,Learning parts-based representation for face transition,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +cfec3fb4352ebb004b0aaf8b0a3b9869f23e7765,Learning Discrete Hashing Towards Efficient Fashion Recommendation,China,China,China,35.86166000,104.19539700,edu, cf203d22a4a292f24cb6eb8bd50d4b0991fdab7d,Body Part-Based Person Re-identification Integrating Semantic Attributes,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, d622f752379e0d3fb5184bdcaf014efde70061fc,Pedestrian detection with dynamic iterative bootstrapping,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, d6cf3cab269877c58a16be011b74e07838d957c2,Face verification and identification using Facial Trait Code,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, @@ -428,30 +586,43 @@ d6e08345ba293565086cb282ba08b225326022fc,Occlusion-Aware Fragment-Based Tracking 6a5d7d20a8c4993d56bcf702c772aa3f95f99450,Face recognition with temporal invariance: A 3D aging model,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 6a74b6a90627a9b3b980ef3b76475c74f361c0ca,"Multibiometrics for Identity Authentication: Issues, Benefits and Challenges",University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 6a38e4bb35673a73f041e34d3f2db7067482a9b5,Emotion Recognition in the Wild with Feature Fusion and Multiple Kernel Learning,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +6a14b0794d5f9de6d2d72517fdda211b3349bff5,Analysing of key point description applied in the pedestrian path detection in low resolution images,Shri JJT University,"Shri JJT University, Rajasthan","Jhunjhunu, Churu Road, Vidyanagari, Churela, Rajasthan 333001, India",28.17676300,75.24554380,edu, 6a2ed331afbdfbaa9e98bc434e48c183a8aaa0b5,Fast Screening in Large Face Databases Using Merit-Based Dominant Points,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, 6a3ec8a8904436020fac8ce7873c0f47abfac17c,An improved adaptive discriminant analysis for single sample face recognition,Chulalongkorn University,Chulalongkorn University,"จุฬาลงกรณ์มหาวิทยาลัย, 254, ถนนพญาไท, สยาม, แขวงปทุมวัน, เขตปทุมวัน, กรุงเทพมหานคร, 10330, ประเทศไทย",13.74311795,100.53287901,edu, 6a9e9ef07aaff89b4492b0e7d7be51ba9a4d4346,Automated real-time video surveillance summarization framework,Chulalongkorn University,Chulalongkorn University,"จุฬาลงกรณ์มหาวิทยาลัย, 254, ถนนพญาไท, สยาม, แขวงปทุมวัน, เขตปทุมวัน, กรุงเทพมหานคร, 10330, ประเทศไทย",13.74311795,100.53287901,edu, 6aeadade814902ddb9d7fd0e1d2d64a70f0e3ff9,Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 6ab5acb5f32ef2d28f91109d40e5e859a9c101bf,The challenge problem for automated detection of 101 semantic concepts in multimedia,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +6a8a30d0039a266a6ae62978359bef3e0256e205,An Ensemble Deep Learning Method for Vehicle Type Classification on Visual Traffic Surveillance Sensors,China,China,China,35.86166000,104.19539700,edu, +6aaf91619dc41d1e442c5439fbf006965758b915,Human age classification using facial skin analysis and multi-class support vector machine,India,India,India,20.59368400,78.96288000,edu, +6a931e7b7475635f089dd33e8d9a2899ae963804,Unified convolutional neural network for direct facial keypoints detection,Pusan National University,"Pusan National University, Pusan, Korea","2 Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan, South Korea",35.23315760,129.07951000,edu, 6ad929e6a1d916cfb4552cc3b13430c9029fdf1c,The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB),Bogazici University,Bogazici University,"Boğaziçi Üniversitesi Kuzey Yerleşkesi, Okulaltı 1. Sokak, Rumelihisarı, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34467, Türkiye",41.08688410,29.04413167,edu, 6a59d68bced702ffe02d46285982dd31dc53fc76,Proactive Human Search for the Designated Person with Prior Context Information in an Undiscovered Environments,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu, +6ad5ac867c5ca56e0edaece153269d989b383b59,Local feature extraction and recognition under expression variations based on multimodal face and ear spherical map,China,China,China,35.86166000,104.19539700,edu, 6a03f9b4354cbe6bdb4c00eab3521a6463e563f7,PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 6ae75eaa7e9f1379338eae94fbb43664bb3c898a,Fusion of structured projections for cancelable face identity verification,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +6afccf6c6cebfaa0579a23e7cc7737837b090f0f,A facial expression recognition method based on ensemble of 3D convolutional neural networks,China,China,China,35.86166000,104.19539700,edu, 6a64ac585cf7150253c690ed62bc92fb2894a347,Traffic congestion judgment based on linear spatial pyramid matching using sparse coding,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 6aa0a47f4b986870370c622be51f00f3a1b9d364,Coupled Kernel Embedding for Low-Resolution Face Image Recognition,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 6a3c6f6325eb388a8fa2580a8f1953f6e557e078,A Simple Neural Network Based Countermeasure for Replay Attack,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 6a915d1f466b9e13ab79d4b59ec4897647dc75e0,Adaptive edge weighting for graph-based learning algorithms,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +6a747f26f68d113e6df7915177788e844da77496,Speed improvement of object recognition using Boundary-Bitmap of histogram of oriented Gradients,"Movidius Plc., Dublin, Ireland","Movidius Plc., Dublin, Ireland","O'Connell Bridge House, Dublin Southside, Dublin, Ireland",53.34682150,-6.25826340,company, 6ad55e57d248cdc9292644c64771573ff39b602e,"Data-Driven Facial Beauty Analysis: Prediction, Retrieval and Manipulation",Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +6ae63a0097c41b63c2d5df352de985f1058220e9,Fast and viewpoint robust human detection in uncluttered environments,"Université de Technologie Compiègne, 60200 Compiègne, France","Université de Technologie Compiègne, 60200 Compiègne, France","rue Roger Coutolenc, 60200 Compiègne, France",49.41522420,2.81911440,edu, +6a9e240e5d84b33c0835cd85c96c70ad5ffdc49c,Photographic image synthesis with improved U-net,China,China,China,35.86166000,104.19539700,edu, 6ab1b6dec1b3f547af977706ef0a51324fa0640c,Pedestrian detection based on deep learning model,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, 6a4508df37c95e4c9e6d26ad70a2e718134b8425,Extended local binary pattern fusion for face recognition,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 6a2ecd18bba2667cefe1f9c3689c7cbe0380a276,An Enhanced Metric Learning for Person Reidentification,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +19ab4566ba6959c4575bd4fc70dc6ba914753766,Fractional Discrete Cosine Transform Based Approach for Compensating the Effect of Light Variations for Robust Face Recognition,India,India,India,20.59368400,78.96288000,edu, 193474d008cab9fa1c1fa81ce094d415f00b075c,A Review of Human Action Recognition in Video,Communication University of China,Communication University of China,"中国传媒大学, 朝阳路, 定福庄, 朝阳区 / Chaoyang, 北京市, 100024, 中国",39.91199955,116.55189141,edu, +1956757cabf13a09ec8a469ca9afcf4ff1110527,Continuous multi-biometric user authentication fusion of face recognition and keystoke dynamics,India,India,India,20.59368400,78.96288000,edu, 19e7ba0098ea0b3fbb7b6333ece0e9740f726db3,Accurate visual tracking by combining Bayesian and evolutionary optimization framework,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu, 1902288256839539aeb5feb3e1699b963a15aa1a,Exploring multimodal video representation for action recognition,University of Potsdam,"Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Str. 2-3, 14482, Germany","Prof.-Dr.-Helmert-Straße 2-3, 14482 Potsdam, Germany",52.39399650,13.13336570,edu, 1966bddc083886a9b547e1817fe6abc352a00ec3,Gender Classification Using Pyramid Segmentation for Unconstrained Back-facing Video Sequences,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -1951f201578b89943a625e16efc1254ed7bbe191,Multicamera video summarization and anomaly detection from activity motifs,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +1951f201578b89943a625e16efc1254ed7bbe191,Multicamera video summarization and anomaly detection from activity motifs,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, 1991936613c29f8d09f437a5120ab1fca2257ba3,Graph-Regularized Fast Low-Rank Matrix Approximation Using The NystrÖM Method for Clustering,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 19ee4fb382e9a5042652abe8206a4f2b9e420bd1,Two streams Recurrent Neural Networks for Large-Scale Continuous Gesture Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +1966055f13a7475100d18843f85717f312511805,CG Benefited Driver Facial Landmark Localization Across Large Rotation,"Datang Guoxin Binhai Offshore Wind Power Co., Ltd","Datang Guoxin Binhai Offshore Wind Power Co., Ltd","Binhai, Yancheng, Jiangsu, China",33.99033400,119.82083000,edu, +199d4e49f959a6d77da6054ddba7ea328d5acbb4,"A robust analysis, detection and recognition of facial features in 2.5D images",India,India,India,20.59368400,78.96288000,edu, 19705579b8e7d955092ef54a22f95f557a455338,Fiducial facial point extraction with cross ratio,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 1977d67a8db78d483a25c9fc6ad2ffad8d80c41c,A Unsupervised Person Re-identification Method Using Model Based Representation and Ranking,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 19a4e3458003d5160e9efd31ba4789cf46f61583,Development of a Facial Expression Imitation System,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, @@ -459,37 +630,62 @@ d6e08345ba293565086cb282ba08b225326022fc,Occlusion-Aware Fragment-Based Tracking 19483e421717025e0a51501a85db48186d0a2e2a,Robust log-Gabor filter for ear biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 19dfea55ce8c6999415cb6216de0e5bd108a4f79,A mobile vision system for robust multi-person tracking,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 191eb9c416a991819fce7822b72407f265f19608,A challenging gait database for office surveillance,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +195efc2587512a08c86183454241d76c216573a2,Modeling Mixed Traffic in Shared Space Using LSTM with Probability Density Mapping,Leibniz Universität,"Institute of Cartography and Geoinformatics, Leibniz Universität, Hannover, Germany","Welfengarten 1, 30167 Hannover, Germany",52.38296410,9.71969890,edu, 1922082de84afb69c966a7628e86012342b475fd,Fast Online Tracking With Detection Refinement,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu, 19bd2572ef52b8758312cd40e237e21f6f2a0feb,Face Oriented Discrimination Gabor Features,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 1946fe5894daf21255af3c1235eb15a38a349a07,Real-Time Facial Feature Tracking on a Mobile Device,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, +19d4379e424e7166537442bfae918b55ff12e722,Super-fast parallel eigenface implementation on GPU for face recognition,India,India,India,20.59368400,78.96288000,edu, 19fbf78b32d40805063ad52117be9df69cf10678,Hierarchical Ensemble of Global and Local Classifiers for Face Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 19317c6aa7f88c79abe03b146aa5d340a11fde3f,Object Proposal Generation With Fully Convolutional Networks,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +19c5a8e8015a950cebe0deb94c2154e0da44ade8,3D Facial expression synthesis: A survey,"Universiti Malaysia Sarawak, Kuching, Malaysia","Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kuching, Malaysia","Universiti Malaysia Sarawak, Sarawak, 94300 Kota Samarahan, Malaysia",1.46815960,110.42902060,edu, +191a3f67bfeec06383d083c9d826676bcd9205b2,Object detection based on local feature matching and segmentation,China,China,China,35.86166000,104.19539700,edu, 191d30e7e7360d565b0c1e2814b5bcbd86a11d41,Discriminative Deep Face Shape Model for Facial Point Detection,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, +19d4b3679294563247c126148912d44cbf03e40e,Value-Aware Resampling and Loss for Imbalanced Classification,China,China,China,35.86166000,104.19539700,edu, +19b727567c0d63dd5594f96e70f5ccd8ff1b4e33,New histogram computation adapted for FPGA implementation of HOG algorithm: For car detection applications,Romania,Romania,Romania,45.94316100,24.96676000,edu, +12fa3c73a7764cb65bb76fed0601fc5d79893bcd,Person re-identification by symmetry-driven accumulation of local features,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 1266d931f5ce080d25039ce15be319f39c178a47,Support vector machine to synthesise kernels,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 1221e25763c3be95c1b6626ca9e7feaa3b636d9a,Exploiting spatial-temporal context for trajectory based action video retrieval,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 127d16add62d6747481d23064a302fd878e33b56,Discriminant Pairwise Local Embeddings,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 12c4ba96eaa37586f07be0d82b2e99964048dcb5,Local Adaptive Binary Patterns Using Diamond Sampling Structure for Texture Classification,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 126076774da192d4d3f4efcd1accc719ee5f9683,A hybrid facial expression recognition method based on neutral face shape estimation,Bahçeşehir University,Bahcesehir University,"BAU Galata, 24, Kemeraltı Caddesi, Müeyyedzade, Beyoğlu, İstanbul, Marmara Bölgesi, 34425, Türkiye",41.02451875,28.97697953,edu, 12798749dcaea21d5eb1cdef59d1200ca4d12fbe,Learning to Rank Image Tags With Limited Training Examples,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +1252727e8096f48096ef89483d30c3a74500dd15,Action recognition using edge trajectories and motion acceleration descriptor,China,China,China,35.86166000,104.19539700,edu, 12b3116aee4c8119f6d822bb32637ecc57704f3c,Blur-invariant traffic sign recognition using compact local phase quantization,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, +1207ed9a9d8784427417c3efe788d2d76a7dc216,Classification of sign-based image representations based on distance functions,Russia,Russia,Russia,61.52401000,105.31875600,edu, 12ce65bafd9fd535d9c3f9a725d144d898ec2d79,Informed visual search: Combining attention and object recognition,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 122b1f9d6ff910f4162ff13f827a4cc03e5c33b5,Automatic Physiognomic Analysis by Classifying Facial Component Feature,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, +12bb0cb32e48269da2902c4c6d41ea2966ba8462,Incremental tensor by face synthesis estimating for face recognition,China,China,China,35.86166000,104.19539700,edu, 12c708a709480722aae9324648d0404ec55f151e,Continuous recognition with incremental learning on Grassmann manifolds,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 123cb96ae91f6e809d756b32d81200014ec185a2,Compressed Submanifold Multifactor Analysis with adaptive factor structures,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 1295b038ac6903b0ad2cee280bc8ebbf4590e943,Toward Domain Independence for Learning-Based Monocular Depth Estimation,University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu, +12fd9a2349446a47d50251db6f981a12330f5ac3,On experimenting with pedestrian classification using neural network,"TDC, Network Systems and Technologies (NeST) Technopark, Thiruvananthapuram - 695581, India","TDC, Network Systems and Technologies (NeST) Technopark, Thiruvananthapuram - 695581, India","Park Centre, Technopark Campus, Thiruvananthapuram, Kerala 695581, India",8.55809670,76.88156050,edu, +12e4545d07e1793df87520f384b37a015815d2f7,"Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging",India,India,India,20.59368400,78.96288000,edu, +12cecce5e5bd53212830cb0b8f5cc593a58c215e,Tree-Structured Models for Efficient Multi-Cue Scene Labeling,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 121fc9a276f4646efba43b7469050542274171d3,DeepSign: Deep Learning based Traffic Sign Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 12e0695c9ae037c65dfdfe80b0f2ef1246d4b104,2DPCANet: a deep leaning network for face recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, +12fe91ab616b797e22543ae6c2afa7866dbc9a49,Action recognition from a distributed representation of pose and appearance,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, +124a31521fb0b1a9cd1b1618baf07bc69684cd0c,Auto-tagging of images in non-english languages using tag language conversion,Uppsala University,"Uppsala University, Uppsala, Sweden","Uppsala, 752 36 Uppsala, Sweden",59.85090050,17.63000930,edu, 12cae6e74ddb4a16d66ac410cf2e1b3bfc3618a8,Invited paper: Embedded face and biometric technologies for national and border security,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +12a155be0f3d5e4c8bf08cc79fdb964bce1f4b55,Survey and analysis of extraction of human face features,India,India,India,20.59368400,78.96288000,edu, 1216f1aece5e152302451f4e5c105c6c68829732,Discriminative FaceTopics for face recognition via latent Dirichlet allocation,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, 12c51ef3dfcc3595e9c2f99c374bfa143e296f38,Person Verification by Lip-Motion,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, 12d8ee0a95daf4927b5f5fb0d0b6bf73850bdeea,Collaborative Face Recognition for Improved Face Annotation in Personal Photo Collections Shared on Online Social Networks,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +12017d411ad5db2fce87eee19540ba22dc87bdf1,People detection in heavy machines applications,"Technical center for the Mechanical Industry (CETIM), France","Technical center for the Mechanical Industry (CETIM), France","52 Avenue Félix Louat, 60300 Senlis, France",49.20516300,2.60774300,edu, +95b5296f7ec70455b0cf1748cddeaa099284bfed,Measurement of Static and Dynamic Bio- Parameters of a Person in Remote Systems for Current Psycho- Emotional and Functional State Monitoring,Russia,Russia,Russia,61.52401000,105.31875600,edu, 95785e3ce8cf0360ab328e5eae4cabff5b17308b,Multi-scale video text detection based on corner and stroke width verification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +95e7cf27a8ee62b63ed9d1ecb02a7016e9a680a6,Simultaneous Learning of Nonlinear Manifolds Based on the Bottleneck Neural Network,Amirkabir University of Technology (Tehran Polytechnic),"Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran","استان تهران تهران منطقه ۶ استان تهران،، Rasht St, Iran",35.70408610,51.40916930,edu, 959a35247782161474a0fcca4e8f2f1369c4601f,Hierarchical pedestrian detection under low resolution scenario,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, 95d8523b7782b9f162a73e60796d355e1d4de301,"Evolution of the Brain, Cognition, and Emotion in Vertebrates",University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, +9555e76d705da6a3eaccb9731369b5e925cdc834,A feature fusion strategy for person re-identification,"Huawei Technologies, Beijing, China","Huawei Technologies, Beijing, China","China, Beijing, Xicheng, W Chang'an Ave, 西长安街甲88号北京首都时代广场11层",39.90583800,116.37551600,company, +95738166f0e8e66af1b23e28af2a6834c86e12e0,Local binary pattern feature vector extraction with CNN,Finland,Finland,Finland,61.92411000,25.74815110,edu, 95201050f70d94185eb7bba8d88fda673a38b275,Intent prediction of vulnerable road users from motion trajectories using stacked LSTM network,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, +95d1533866f8ab59b7709c2106df013faa9a0b43,Support vector machines for face recognition with two-layer generated virtual data,"Inst. of Comput. Technol., Chinese Acad. of Sci., China","Inst. of Comput. Technol., Chinese Acad. of Sci., China","6 Kexueyuan S Rd, Haidian Qu, China, 100080",39.98186800,116.32686600,edu, 952a8ef56f35376a52e4540d3df9e48f4077b09e,Deep feature embedding learning for person re-identification based on lifted structured loss,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +95dfbcac082aa68a8fa97099c4fd46834c43153a,Mobile Match-on-Card Authentication Using Offline-Simplified Models with Gait and Face Biometrics,University of Applied Sciences Upper Austria,"u’smile, the Josef-Ressel-Center for User-Friendly Secure Mobile Environments, University of Applied Sciences Upper Austria, Wels, Austria","Franz-Fritsch-Straße 11, 4600 Wels, Austria",48.15484290,14.01129780,edu, 95b9df34bcf4ae04beea55c11cf0cc4095aa38dc,A One Bit Facial Asymmetry Code (FAC) in Fourier Domain for Human Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 95a7ce2163b3fbd49bb8d0813a9f67e651bea3a5,Coupled feature spaces learning with joint graph regularization for person re-identification,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +950de0d355f770b7f36511ee5dfde59602c21b0b,Implementation of human-robot VQA interaction system with dynamic memory networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +953a85e036a017124a21d69dde6dc3b4fcd7fe5d,Reconstruction error based pedestrian detection in infrared videos,"Science and Technology on Information, Systems Engineering Laboratory, Nanjing 210007, China","Science and Technology on Information, Systems Engineering Laboratory, Nanjing 210007, China","Qinhuai, Nanjing, Jiangsu, China, 210007",32.01814510,118.83728030,edu, 95b4a6beaa53936f69602e9024e3d05b752be8a5,Zero-shot learning with a partial set of observed attributes,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, 95d64ce5b0758bdc213962ce65ac89b31d9fb617,Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu, 9588b3416aa68104b58546a4f82e234a3670d266,Data-driven scene understanding by adaptive exemplar retrieval,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, @@ -498,19 +694,25 @@ d6e08345ba293565086cb282ba08b225326022fc,Occlusion-Aware Fragment-Based Tracking 95f1790da3d0a4a5310a050512ce355b3c5aac86,Towards temporal adaptive representation for video action recognition,Canon,"Innovation Center, Canon USA Inc., San Jose, California","2680 Zanker Rd #100, San Jose, CA 95134, USA",37.38976400,-121.92459300,company, 95d858b39227edeaf75b7fad71f3dc081e415d16,Minimum-risk temporal alignment of videos,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 9584052327664425337b163695ee55c2b866d674,Design of unified support vector machine circuit for pedestrians and cars detection,Hankuk University of Foreign Studies,Hankuk University of Foreign Studies,"외대앞, 휘경로, 이문동, 이문2동, 동대문구, 서울특별시, 02407, 대한민국",37.59539790,127.06304990,edu, +95c5ccc1fb2ac1d51fd18a8a18ecbcb33a910096,Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph,China,China,China,35.86166000,104.19539700,edu, 95023e3505263fac60b1759975f33090275768f3,Facial Expression Recognition in Daily Life by Embedded Photo Reflective Sensors on Smart Eyewear,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu, 9590b09c34fffda08c8f54faffa379e478f84b04,Efficient Dual Approach to Distance Metric Learning,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 954e5ecd158a38c03a38232dbdbae37dff6dda66,An Evaluation of Gamesourced Data for Human Pose Estimation,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, 95ad4f39a2368b26c429cf8118364d63c3617ccc,Image Quality Assessment Based Label Smoothing in Deep Neural Network Learning,China University of Mining and Technology,China University of Mining and Technology,"China University of Mining and Technology, 1号, 大学路, 泉山区 (Quanshan), 徐州市 / Xuzhou, 江苏省, 221116, 中国",34.21525380,117.13985410,edu, +95c3749c8b7a900ece82b3d5fbef16eb0c853112,Distributed Person of Interest Tracking In Camera Networks,"Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka","Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka","Electrical Engineering Depratment, Indian Institute of Science, Bangalore, Javanica Marg, Mathikere, Bengaluru, Karnataka 560012, India",13.01498720,77.57103030,edu, +95d0cd902ff0fa253b6757ba3c8e09ce25b494cc,A novel method for eye tracking and blink detection in video frames,India,India,India,20.59368400,78.96288000,edu, 9579bed02269e3f1f81c1d3b4dd396426e06c459,3D facial expression recognition algorithm using local threshold binary pattern and histogram of oriented gradient,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 95601da73c7090ff23c101739426d4ad51ff4c90,"Representation, Analysis, and Recognition of 3D Humans: A Survey",University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, 950719dc5835730e817b6fbe697fa362d782a63b,Multiple Classifiers Approach for Computational Efficiency in Multi-scale Search Based Face Detection,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, 95bf7e3960d88f2492fcf10298b0719b1c7da248,Head Pose Recommendation for Taking Good Selfies,National Taiwan Normal University,National Taiwan Normal University,"師大分部, 88, 汀州路四段, 萬年里, 文山區, 臺北市, 11677, 臺灣",25.00823205,121.53577153,edu, b0751b7361e691b0df7dc70f6c39d41d6cfc04ed,A Low-Complexity Pedestrian Detection Framework for Smart Video Surveillance Systems,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +b0b9fca75b56a9f0010805c7055e8e677e7b82f3,Robust facial feature localization with probabilistic constrained local models,China,China,China,35.86166000,104.19539700,edu, b0103d264f756144f8acc1994f2327699e280652,Convolutional Gaussian Mixture Models with Application to Compressive Sensing,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, b017f588d281bce0a92043ea47ed4cec5db3ff33,Personalized Graphical Models for Anatomical Landmark Localization in Whole-Body Medical Images,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, b02fe7db60c2973ab2f9cd42746a34d9ce34da1a,Automatic Estimation of Enjoyment Levels during Cardiac Rehabilitation Exercise,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, +b02d31c640b0a31fb18c4f170d841d8e21ffb66c,Localized region context and object feature fusion for people head detection,China,China,China,35.86166000,104.19539700,edu, b0698da6bc08772d686713945b561bc952dc7949,Empirical Studies of the Existence of the Biometric Menagerie in the FRGC 2.0 Color Image Corpus,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +b0502dcc6df378ee3ddeefeeb1cc51a20e04f39b,Local-Gravity-Face (LG-face) for Illumination-Invariant and Heterogeneous Face Recognition,India,India,India,20.59368400,78.96288000,edu, b0101a979f3003911aa867598a61ca67e13e0d56,Background Subtraction with DirichletProcess Mixture Models,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, b05943b05ef45e8ea8278e8f0870f23db5c83b23,User authentication on mobile devices with dynamical selection of biometric techniques for optimal performance,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, b028d806016a72ef1ccdb73b70ceee8e1e3c126d,I see you there!: developing identity-preserving embodied interaction for museum exhibits,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, @@ -519,6 +721,7 @@ b033a4a543cfbd6a1032ed2f0b109a4327124d2f,Bayesian Face Sketch Synthesis,Xidian U b06b0c4ae4bbec4beb551ecf442965a0902fe516,An improved averaging combination method for image and object recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, b08c35f8e529f47a3fdc4f0713ffe77d94c57d87,Explore Multi-Step Reasoning in Video Question Answering,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, b0eb2eddcc2575f02615c12d2ca392cbe2048dd0,Motion classification of pedestrian walking behaviors on the sidewalk,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu, +b0c601a43384524d85ff4aa0bce65b2091133b47,SIFT-based matching algorithm and its application in ear recognition,China,China,China,35.86166000,104.19539700,edu, 93dd4e512cd7647aecbfc0cd4767adf5d9289c3d,Pose-based composition improvement for portrait photographs,"RMIT University, Vietnam","RMIT University, Vietnam","RMIT University Vietnam - Saigon South Campus, 702, Nguyễn Văn Linh, Khu 3 - Khu Đại học, Phường Tân Phong, Quận 7, Tp HCM, 756604, Việt Nam",10.72991265,106.69320824,edu, 93c14fa9778fc98fe1e078131179d3402c7d1d0c,Traffic Sign Detection from Lower-quality and Noisy Mobile Videos,Iowa State University,Iowa State University,"Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA",42.02791015,-93.64464415,edu, 93b549fc1e6cae3038b122190aaa21e88a65a200,Efficient Sparse Kernel Feature Extraction Based on Partial Least Squares,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, @@ -528,14 +731,22 @@ b0eb2eddcc2575f02615c12d2ca392cbe2048dd0,Motion classification of pedestrian wal 930061d017467408333b790e4360649be815d220,Face alignment robust to occlusion,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 930a33327a030a5a30e3912feafbba0ef0d57e13,Temporal Analysis of Motif Mixtures Using Dirichlet Processes,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 93ece2d76dc69c7340c6e2c499b58c27dc9e3de7,Efficient pose machine based on parameter-sensitive hashing,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +93d11da02205bbc5ae68e521e421f70a4b74a7f7,Emotion recognition and reaction prediction in videos,India,India,India,20.59368400,78.96288000,edu, +939d28859c8bd2cca2d692901e174cfd599dac74,Facial expression recognition based on texture and shape,"China Electronics Technology Group Corporation, China","The 28th Research Institute of China Electronics Technology Group Corporation, China","26 Dongting Rd, Hexi Qu, Tianjin Shi, China",39.06643930,117.24927510,company, +9377376b366dc6b7c1ec03db7ffe611056263202,Human eye location algorithm based on multi-scale self-quotient image and morphological filtering for multimedia big data,Xiangnan University,"College of Software and Communication Engineering, Xiangnan University, Chenzhou, China","Suxian, Chenzhou, China",25.78604900,113.10055500,edu, 9328c702d646928690b5725203b79d7dcc217802,Multimodal Analysis for Identification and Segmentation of Moving-Sounding Objects,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 93e1e195f294c463f4832c4686775bf386b3de39,Temporal Variance Analysis for Action Recognition,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +934824fcd19fcff4baa2053ca669bef4c614143c,Efficient hough forest object detection for low-power devices,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 93817c245aaeb78dc8ebf1b24450942a3e24ffe7,Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 934647c80f484340adecc74ac7141ed0b1d21c2f,A sparse representation approach for local feature based expression recognition,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 9304de56c284748273f7eb7d867eedaee971cb55,A novel framework for automatic 3D face recognition using quality assessment,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu, +9355b789dac162ad50c31cdf5d9a196cdc09828e,Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network,University of California Riverside,"Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA","900 University Ave, Riverside, CA 92521, USA",33.97370550,-117.32806440,edu, +935c6a5087f7683942a1999495647a02190dd8de,DietCam: Multiview Food Recognition Using a Multikernel SVM,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 93d903d2e48d6a8ad3e3d2aff2e57622efe649cd,Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression,"Indian Statistical Institute, Kolkata","Indian Statistical Institute, Kolkata","Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India",22.64815210,88.37681700,edu, +93d6dacdce6708db29ab3eed1683aad561fd0239,A review on 2D ear recognition,Universiti Teknologi Malaysia,Universiti Teknologi Malaysia,"Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia",1.56327890,103.63821900,edu, 93eb3963bc20e28af26c53ef3bce1e76b15e3209,Occlusion robust face recognition based on mask learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 936d8ba4bf32ba96fd40a7a3e7f6e0d1b15040e5,Effective naive Bayes nearest neighbor based image classification on GPU,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +93ae6b140d7dab7fea958da3fe537b0c80334c30,Biomedical signal quality assessment via learning to rank with an application to mechanical heart signals,Finland,Finland,Finland,61.92411000,25.74815110,edu, 93108f1548e8766621565bdb780455023349d2b2,Facial expression synthesis based on motion patterns learned from face database,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 939f9fa056f8be445da19b43da64bd2405851a43,Classifying facial expressions using point-based analytic face model and Support Vector Machines,Concordia Institute for Information Systems Engineering,"Concordia Institute for Information Systems Engineering (CIISE), 1515 St. Catherine West, Montreal, Quebec H3G 2W1, CANADA","1455 Boulevard de Maisonneuve O, Montréal, QC H3G 1M8, Canada",45.49726570,-73.57902270,edu, 93afaa8c5fb5e0913e1f2a2de99636ddd30f7718,A combined feature representation of deep feature and hand-crafted features for person re-identification,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, @@ -545,41 +756,58 @@ b0eb2eddcc2575f02615c12d2ca392cbe2048dd0,Motion classification of pedestrian wal 9306f61c7c3bdcdcb257cd437ca59df8e599e326,"Sparse Representations, Compressive Sensing and dictionaries for pattern recognition",University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 93a819b07ec0e76cc2de9f05f41f148cbaa410f8,Impact analysis of nose alterations on 2D and 3D face recognition,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, d1318b84c082befd4eb9de651fd524de5378807d,Boosting 3D LBP-Based Face Recognition by Fusing Shape and Texture Descriptors on the Mesh,Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu, +d1580e818932ba23b38784b48d3e472ec91cd746,Decomposed human localization in personal photo albums,China,China,China,35.86166000,104.19539700,edu, d1aa4a707be30f68f237eae0208cfc0622ea299e,Cross-media analysis and reasoning: advances and directions,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +d1775eb9d8898a9f66c28bb92b648c3174caec18,Smile recognition based on face texture and mouth shape features,China,China,China,35.86166000,104.19539700,edu, d11c6beaf4d08fdecf89ca405a7e5e9117c085c7,Triple Verification Network for Generalized Zero-Shot Learning,"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE","Inception Institute of Artificial Intelligence, Abu Dhabi, United Arab Emirates",Abu Dhabi - United Arab Emirates,24.45388400,54.37734380,edu, d1ee9e63c8826a39d75fa32711fddbcc58d5161a,A facial symmetry prior for improved illumination fitting of 3D morphable model,Speech and Signal Processing University of Surrey,"Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, UK","388 Stag Hill, Guildford GU2 7XH Stag Hill, Guildford GU2 7XH, UK",51.24354510,-0.58857440,edu, d1a760d034200c0a34aa1dbdaa0620756c2aa5e8,Deep feature extraction in the DCT domain,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +d1477e7a555f6ecfe3cec4dc19faf5d92b2b758b,The relation between the ROC curve and the CMC,"Exploratory Comput. Vision Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA","Exploratory Comput. Vision Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA","200 Aqueduct Rd, Ossining, NY 10562, USA",41.21699610,-73.80727180,edu, +d15662886a615521d4205fa1ededb3d794b9f944,Multi-modal people tracking on a mobile companion robot,Ilmenau University of Technology,"Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany","Ilmenau, Germany",50.68435020,10.92547280,edu, d1079444ceddb1de316983f371ecd1db7a0c2f38,Sparse residue for occluded face image reconstruction and classification,"Harbin Institute of Technology, Shenzhen","Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China","China, Guangdong, Shenzhen, Nanshan, 平山一路",22.58675200,113.96878000,edu, +d121714f0862cf923883008b570dcdd70e9128e5,Fast moving pedestrian detection based on motion segmentation and new motion features,"Fraunhofer FKIE, Wachtberg, Germany","Fraunhofer FKIE, Wachtberg, Germany","Fraunhoferstraße 20, 53343 Wachtberg, Germany",50.61756300,7.13117900,company, d1864c668527825229828578cc857c9f5c1c684f,A Pose Robust Face Recognition Approach by Combining PCA-ASIFT and SSIM,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, +d141c31e3f261d7d5214f07886c1a29ac734d6fc,Unsupervised Video Hashing via Deep Neural Network,China,China,China,35.86166000,104.19539700,edu, d14538b0e5fc144c8f600591f75cfa977cc02daa,A Fourier series based expression deformation model for 3D face recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, d12cf13abdb986c55a0a17b63106cf752260bc6a,Proposal generation for object detection using cascaded ranking SVMs,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, +d18e2ccc4f1413870a760a11e7a4fac19aed5553,Evaluation of stacked autoencoders for pedestrian detection,"Escuela de Ingeníeria Informática, Universidad Católica de Temuco, Temuco, Chile","Escuela de Ingeníeria Informática, Universidad Católica de Temuco, Temuco, Chile","Temuco, Araucania, Chile",-38.73590180,-72.59037390,edu, d1dd80d77655876fb45b9420fe72444c303b219e,Accumulated motion images for facial expression recognition in videos,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, -d12d2f87517e3d63d62599a72752445819320c03,Compressed sensing for face recognition,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +d12d2f87517e3d63d62599a72752445819320c03,Compressed sensing for face recognition,"University of Technology, Sydney","University of Technology, Sydney, Australia","15 Broadway, Ultimo NSW 2007, Australia",-33.88323760,151.20049420,edu, d1097fc0fa5410888c7d791a0594d361114caac1,A new scheme for 3D face recognition based on 2D Gabor Wavelet Transform plus LBP,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, d15cd6285500a3c6b1fdc607720577fd4040baba,Kernel-based Regularized Neighbourhood Preserving Embedding in face recognition,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +d18cca5e90884020e748e7fe2d13398d3cbd14fb,Facial shape and albedo reconstruction based on a trained prototype,China,China,China,35.86166000,104.19539700,edu, +d12bea587989fc78b47584470fd8f689b6ab81d2,Robust Face Representation Using Hybrid Spatial Feature Interdependence Matrix,"LIAMA, French National Institute for Research in Computer Science and Control, Paris, France","LIAMA, French National Institute for Research in Computer Science and Control, Paris, France","Institut National de Recherche en Informatique et en Automatique, 54600 Villers-lès-Nancy, France",48.66544710,6.15702390,edu, d182476a5c75069407a8da0fdc7a0dc6a53645c2,Phoneme Segment Boundary Detection Based on the Generalized Gamma Distribution,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, d1b5b3e4b803dc4e50c5b80c1bc69c6d98751698,Modified Hidden Factor Analysis for Cross-Age Face Recognition,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, d11ba0deeefda19ff30c4b532aa1a85fc07389c7,"An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues",Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, d116bac3b6ad77084c12bea557d42ed4c9d78433,Recognition of occluded facial expressions based on CENTRIST features,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, d1a8a46e1eb3769ed12f44075d63b49ccfe8c137,Feature specific analysis of a deep convolutional neural network for ageing classification,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu, +d1d14401d5c2ffcbba10a867905df47a99445b97,Projective Weight-Based Unsupervised Laplacian Graph Learning for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, +d1e1c489ffe0331313e9c626a971bbaacc633774,Cheating behavior detection based-on pictorial structure model,China,China,China,35.86166000,104.19539700,edu, d15e93d223ab255a5d3ed6918004784a4a636fd7,Co-Referenced Subspace Clustering,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, d10cfcf206b0991e3bc20ac28df1f61c63516f30,Smile or smirk? Automatic detection of spontaneous asymmetric smiles to understand viewer experience,"Affectiva, Inc.","Affectiva Inc., Waltham, MA, USA","294 Washington St, Boston, MA 02108, USA",42.35730460,-71.05824150,company,MIT spinoff d1fac29bac01b7412770902914f67ed7d6b31516,Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 22ef6475b220356f8547e9980c437f55ac2ad45c,MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +2254930afe019a0d10c9c0d8e11af8897ec77fa1,Face recognition based on a novel illumination normalization method,Xi'an University of Technology,"Xi'an University of Technology, China","China, Shaanxi, Xi'an, Beilin, Jinhua S Rd, 金花南路5号 邮编 710048",34.25183600,108.99321800,edu, 221c626da43f973f47e5b6424b439a9a0f6c5052,A Novel Eye Localization Method With Rotation Invariance,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 22ad2c8c0f4d6aa4328b38d894b814ec22579761,Clothing cosegmentation for recognizing people,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 228ea13041910c41b50d0052bdce924037c3bc6a,A Review Paper Between Open Source and Commercial SDK and Performance Comparisons of Face Matchers,"National Science and Technology Development Agency, Thailand","National Science and Technology Development Agency, National Electronics and Computer Technology Center, Pathum Thani, 12120, Thailand","Pathum Thani 12120, Thailand",14.09502500,100.66471010,gov, 22b1c7cc6ba65c5b5274ce4e8f017a6c1599c088,Affine normalized stockwell transform based face recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 2293413ebd24e377c1785113b695cc8a918a5fdb,Facial expression recognition based orthogonal local fisher discriminant analysis,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, +228b899a16400c4e23ac1a7eb6de3e69797bbcf7,Self-paced cross-modality transfer learning for efficient road segmentation,China,China,China,35.86166000,104.19539700,edu, 220ce8b5151900e994b79ed515648892ff6c5368,A review on vision-based pedestrian detection in intelligent transportation systems,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 22db2fd664a4b838149853d1f3390c6022a9ddb2,Detecting motion synchrony by video tubes,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 22906e45359af4d2b6f279875e8c411844a5ce93,An alternative Gabor filtering scheme,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +22c06284a908d8ad0994ad52119773a034eed7ee,Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks,"NTT Corporation, Atsugi, Japan","NTT Corporation, Atsugi, Japan","3-1 Morinosatowakamiya, Atsugi, Kanagawa Prefecture 243-0124, Japan",35.44048960,139.31561110,edu, 22894791cb1e139177cef3fbb1ebda417a4b549f,Attentive Systems: A Survey,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, -22baee247a44e3585f1dba2d01727b6be07d1944,Exploiting heterogeneity for tail latency and energy efficiency,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +22baee247a44e3585f1dba2d01727b6be07d1944,Exploiting heterogeneity for tail latency and energy efficiency,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 22c392ef712fe5ac990b4e0322e0b0ae245829cd,Low-cost face recognition system based on extended local binary pattern,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, +22f3158eccb3ec449f23db87e270a46202cc9571,Experiences on sensor fusion with commonsense reasoning,University of Lübeck,"Institute of Computer Engineering, University of Lübeck, Lübeck, Germany",Germany,51.16569100,10.45152600,edu, 2238dddb76499b19035641d97711cf30d899dadb,Lip shape based emotion identification,"Atılım University, Ankara, Turkey","Elektrik - Elektronik Mühendisliği Bölümü, Atılım Üniversitesi, Ankara, Türkiye","Kızılcaşar Mahallesi, 06830 İncek Gölbaşı/Gölbaşı/Gölbaşı/Ankara, Turkey",39.81573110,32.72386770,edu, 22d8d50911c6b8994f624267677cf736be3c5a8e,Deep learning architecture for pedestrian 3-D localization and tracking using multiple cameras,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 22894c7a84984bd4822dcfe7c76a74673a242c36,Automatic emotion recognition in the wild using an ensemble of static and dynamic representations,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +228eaf76e75de3ae12c28e5134b7b6095c16c49d,Label Transfer by Measuring Compactness,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, +229890f8ccd486ac377eecc689010458035b9a8a,Exploiting low-rank structures from cross-camera images for robust person re-identification,"Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan","Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04198190,121.61545520,edu, 22ab35c9a382a7133ef05631f7ad11715e7b49b6,Casualty Detection from 3D Point Cloud Data for Autonomous Ground Mobile Rescue Robots,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 22e121a8dea49e3042de305574356477ecacadda,Directional gradients integration image for illumination insensitive face representation,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, 2205ba259d725ac0e0ed271d541d61a669027893,Learning effective features for 3D face recognition,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, @@ -589,25 +817,32 @@ d1fac29bac01b7412770902914f67ed7d6b31516,Detecting Anatomical Landmarks From Lim 57723da316c019628460daeaba143537d4dd1327,Continuous pain related behavior recognition from muscle activity and body movements,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, 576d0fea5a1ae9ce22996e726787c49023fc7522,Synthesis K-SVD based analysis dictionary learning for pattern classification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 5791a0c98d63fb8378dfaa0f36a0a229c04df6a0,Monitoring visual focus of attention via local discriminant projection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +5760d29574d78e79e8343b74e6e30b3555e48676,An Intelligent Music Player Based on Emotion Recognition,India,India,India,20.59368400,78.96288000,edu, 578ae2368d477b3ac24fec7273804fe62224e51d,Vacant Parking Space Detection Based on a Multilayer Inference Framework,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu, 5748652924084b7b0220cddcd28f6b2222004359,Large-Cone Nonnegative Matrix Factorization,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 570e6e7e2589bb9c7327c6a08aa3b9f36f8a3788,Discriminant Graph Structures for Face Verification,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, -57642aa16d29bbd9f89f95e3f3dcb8291552db60,Benchmarking and Analyzing Deep Neural Network Training,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +57642aa16d29bbd9f89f95e3f3dcb8291552db60,Benchmarking and Analyzing Deep Neural Network Training,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 578117ff493d691166fefc52fd61bad70d8752a9,Dealing with occlusions in face recognition by region-based fusion,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu, 57932806423204b445bac4abeaede97edb90fa03,Edge-guided generative adversarial network for image inpainting,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +5735c1b752f08a8263ba0d7c52ef5607f177f343,Kernelization of locality preserving discriminant projection,India,India,India,20.59368400,78.96288000,edu, 5710ddc7254500901111394e968cfc41b4fadbe1,Hard negative classes for multiple object detection,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 57eeaceb14a01a2560d0b90d38205e512dcca691,Recurrent Spatial-Temporal Attention Network for Action Recognition in Videos,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 57582fd607c8aad7245b497a6a68bc3a1901ef08,Neural Personalized Ranking for Image Recommendation,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu, +577f009d44839e279732ff901ebbb6a09dfb9fb7,Qualitative evaluation of visibility enhancement techniques on SAMEER-TU database for security and surveillance,India,India,India,20.59368400,78.96288000,edu, 57ca530e9acb63487e8591cb6efb89473aa1e5b4,Multilayer Surface Albedo for Face Recognition With Reference Images in Bad Lighting Conditions,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +57ba4b6de23a6fc9d45ff052ed2563e5de00b968,An efficient deep neural networks training framework for robust face recognition,China,China,China,35.86166000,104.19539700,edu, 57f06c0bab366438ebea9ea047678971653923ff,Expression invariant 3D face recognition based on GMDS,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, +579fabe2a068228d4020050da3d68e9314148db5,Person Re-Identification Based on Spatiogram Descriptor and Collaborative Representation,China,China,China,35.86166000,104.19539700,edu, 57f3a6ce22c050ca78146b6cc5475c46789647e3,Virtual Sensors Determined Through Machine Learning,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu, 576d8fb95655b67f50a7aafda2bb4e220eba19f4,"Colour Object recognition combining Motion Descriptors, Zernike Moments and Support Vector Machine","University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" 57c34c5fdd602df84f187f8903efc2972da806a7,A low-complexity visual tracking approach with single hidden layer neural networks,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 5784c3a6049899654e0871fdd4d51799e22ccbf6,An attempt to pedestrian detection in depth images,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 572dbaee6648eefa4c9de9b42551204b985ff863,The more the merrier: Analysing the affect of a group of people in images,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +57c82df62b8212df8efe8cfab33f666cc7a2fc8d,An Illumination Insensitive Representation for Face Verification in the Frequency Domain,"Adv. Technol. Application Center, Havana","Adv. Technol. Application Center, Havana","Havana, Cuba",23.11359250,-82.36659560,edu, 57f8b25fd16218d321a4ce9b3de72f129b9f8e66,Pedestrian detection based on LIDAR-driven sliding window and relational parts-based detection,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu, 5763b09ebca9a756b4adebf74d6d7de27e80e298,Picture-specific cohort score normalization for face pair matching,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 57ef0d30fac07e1fef3346838a1dcc8f4eb9f315,A novel stereo matching approach for pedestrian re-identification,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +007fbc7a1d7eae33b2bb59b175dd1033e5e178f3,Enabling Live Video Analytics with a Scalable and Privacy-Aware Framework,"Intel Labs, Pittsburgh PA","Intel Labs, Pittsburgh PA","4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,company, 0069406e49ba09432e9723d4a2eef27b9b8994b8,360° view camera based visual assistive technology for contextual scene information,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 0032567b2d936c463a6ee4f0fa9cfa9f87c91be9,Multi-target tracking based on Kalman filtering and optical flow histogram,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, 00cc6b9ad1aa0bb6c170eca1f2b8df2a7e249338,Correlated attribute transfer with multi-task graph-guided fusion,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, @@ -615,39 +850,59 @@ d1fac29bac01b7412770902914f67ed7d6b31516,Detecting Anatomical Landmarks From Lim 00d0b01d6a5f12216e078001b7c49225d2495b21,Image-based face illumination transferring using logarithmic total variation models,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu, 009bf86913f1c366d9391bf236867d84d12fa20c,Illumination invariant representation for privacy preserving face identification,University of Haifa,University of Haifa,"אוניברסיטת חיפה, חיפה, מחוז חיפה, ישראל",32.76162915,35.01986304,edu, 0068fb32720da464072ac9aaeba539c6db746986,Automatic remote evaluation system for biometric testing,Chung-Ang University,Chung-Ang University,"중앙대학교, 서달로15길, 흑석동, 동작구, 서울특별시, 06981, 대한민국",37.50882000,126.96190000,edu, +00b1451fcfc14fc8109e8108a61819e821fc4ac9,A hierarchical hybrid model for intelligent cyber-physical systems,"Dipartimento di Ingegneria dell'Informazione Università Politecnica delle Marche, Via Brecce Bianche, 60131, Ancona, Italy","Dipartimento di Ingegneria dell'Informazione Università Politecnica delle Marche, Via Brecce Bianche, 60131, Ancona, Italy","Via Brecce Bianche, 1, 60131 Ancona AN, Italy",43.58678600,13.51677700,edu, 007abf56a59d186c0787abbb4f78a90bd48103c9,Aphash: Anchor-Based Probability Hashing for Image Retrieval,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, -00049f989067d082f7f8d0581608ad5441d09f8b,Adaptive Part-Level Model Knowledge Transfer for Gender Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +00049f989067d082f7f8d0581608ad5441d09f8b,Adaptive Part-Level Model Knowledge Transfer for Gender Classification,Shenzhen Institute of Advanced Technology,Shenzhen Institute of Advanced Technology,"Tengfei Rd, LongGang ZhongXin Cheng, Longgang Qu, Shenzhen Shi, Guangdong Sheng, China, 518172",22.72147100,114.21548200,edu, 007e64dce82512b65746536e5c29c57b1b77758d,Monocular visual-IMU odometry using multi-channel image patch exemplars,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu, +00c8e15cf9cbe9c68fbf00f040a632a37cd944df,Using image saliency and regions of interest to encourage stronger graphical passwords,Florida Institute of Technology,Florida Institute of Technology,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA",28.06468880,-80.62302200,edu, +00dfd28b91ef1e1bfa2e205dadaf23325b207751,Face-and-clothing based people clustering in video content,"Université de Toulouse, Toulouse, France","Université de Toulouse, Toulouse, France","41 Allée Jules Guesde, 31000 Toulouse, France",43.59437570,1.45064940,edu, 000115f877c3a3fc77736afe620a22500188f3a5,Sequential Subspace Clustering via Temporal Smoothness for Sequential Data Segmentation,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 00220a6783488054eb0fe7b915e882b1294f3318,Facial expression recognition using graph-based features and artificial neural networks,Chulalongkorn University,Chulalongkorn University,"จุฬาลงกรณ์มหาวิทยาลัย, 254, ถนนพญาไท, สยาม, แขวงปทุมวัน, เขตปทุมวัน, กรุงเทพมหานคร, 10330, ประเทศไทย",13.74311795,100.53287901,edu, 00bccef4017ff11fc089e0a87253981f6ad0b58a,Face liveness detection by focusing on frontal faces and image backgrounds,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 00301c250d667700276b1e573640ff2fd7be574d,Establishing a test set and initial comparisons for quantitatively evaluating synthetic age progression for adult aging,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu, +00eb50f2c9792168bbd387fa7871bb7af5e7c8d7,Resolution enhancement of textual images via multiple coupled dictionaries and adaptive sparse representation selection,University of Lyon,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France","20 Avenue Albert Einstein, 69100 Villeurbanne, France",45.78332440,4.87819840,edu, 00433afe3fbf9aa4ac8a32778f7ab6878f142593,Crowd Tracking by Group Structure Evolution,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 00cad8009b739be733b56a90495510f275bdc983,High Density Ground Maps using Low Boundary Height Estimation for Autonomous Vehicles,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, +00bd394ad1373372ea21297789bcbfe1693885f5,Number of faces affect performance of rigid joint alignment,China,China,China,35.86166000,104.19539700,edu, 00eea9f10738475e9c37a5a240b2f3a2515f16bb,Multi-patch deep features for power line insulator status classification from aerial images,North China Electric Power University,North China Electric Power University,"华北电力大学, 永华北大街, 莲池区, 保定市, 莲池区 (Lianchi), 保定市, 河北省, 071000, 中国",38.87604460,115.49738730,edu, 0034e37a0faf0f71395245b266aacbf5412f190a,Face Distortion Recovery Based on Online Learning Database for Conversational Video,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +00d4c2db10f3a32d505d7b8adc7179e421443dec,Data driven adaptation for QoS aware embedded vision systems,Pennsylvania State University,Pennsylvania State University,,,,edu, 00a77f11d34bc72947c80778428c93aef0255fbb,Semantics constrained dictionary learning for signer-independent sign language recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 00785be241b28161c320693ca3611e1787a25978,Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, +00bfef58353564f4e4bd7e2cb68cb66953cf9103,Automatic recognition of facial expression using features of salient patches with SVM and ANN classifier,India,India,India,20.59368400,78.96288000,edu, 00af9945a3401bdad3cffa89f7e5a15660399282,Fusion of correntropy and mean square error for sparse representaion based classification,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, +00f2ff5aca7737f2ddf67d4621fa4df6a951b0bc,Local–class–shared–topic latent Dirichlet allocation based scene classification,China,China,China,35.86166000,104.19539700,edu, 00091da5ae37d0e63854ceb038eb5e7472cb4b03,Synergy between Object Recognition and Image Segmentation Using the Expectation-Maximization Algorithm,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, 004db007ac193d8df3630c453b5ceed773ccc4d9,Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters,University of Piraeus,University of Piraeus,"Πανεπιστήμιο Πειραιώς, 80, Καραολή και Δημητρίου, Απόλλωνας, Νέο Φάληρο, Πειραιάς, Δήμος Πειραιώς, Περιφερειακή Ενότητα Πειραιώς, Περιφέρεια Αττικής, Αττική, 185 34, Ελλάδα",37.94173275,23.65303262,edu, 0012d023347d01b791e7753f4f58567a5d480f7f,Crowd counting via learning perspective for multi-scale multi-view Web images,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +92d1e292c00cb307fd5ad074b5c172aabf052ae2,Real-time Semantic Segmentation-based Depth Upsampling using Deep Learning,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, +92facdae51b96e256649ff3dd112ec5cd3feb466,Asian female face classification incorporating personal attractive preference,Shinshu University,"Faculty of Engineering, Shinshu University, Japan","4 Chome-17-1 Wakasato, Nagano, Nagano Prefecture 380-0928, Japan",36.63134980,138.19010140,edu, 9228d4b91c878089b3e5aa8082452df6de63dbf4,A Novel Technique for Human Face Recognition Using Nonlinear Curvelet Feature Subspace,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, +92dd389bf0ca3d651ed3be85b14e6a31866b1ed2,Mining visual phrases for long-term visual SLAM,University of Fukui,"Faculty of Engineering, University of Fukui, Japan","3 Chome-9-1 Bunkyo, Fukui, Fukui Prefecture 910-8507, Japan",36.07509890,136.21222390,edu, +924ba14f62e3c8da005082401625b3f71587198a,"A Single Hierarchical Network for Face, Action Unit and Emotion Detection",India,India,India,20.59368400,78.96288000,edu, 92de9a54515f4ac8cc8e4e6b0dfab20e5e6bb09d,Quality scores for deep regression systems,FDNA Israel,"FDNA inc., Herzliya, Israel","Sapir St 5, Herzliya, Israel",32.16388240,34.81158620,company,"5 Sapir St., Ampa House, Herzliya, Israel 4685209" 9241b103b76a3bdae157038b71783d7d372c71e9,Visual Classification of Furniture Styles,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +92b2386e11164738d9285117ae647b4788da2c31,Pedestrian detection with multiple classifiers on still images,"Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye","Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye","Çifte Havuzlar Mahallesi, 34220 Esenler/İstanbul, Turkey",41.02880220,28.89001430,edu, 926bb8d48fd8ddd8bea84edd15bce3b1e23ee499,Multiple Kernel Learning for Sparse Representation-Based Classification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 927f86a6498e2a528f025e86782ce4ede317ae0b,Transfer classification for distinct manifestations with shared information,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +928b6bc4492740e8eba83366e9b21eb47ba59067,Recognizing human faces under varying degree of Illumination: A comprehensive survey,India,India,India,20.59368400,78.96288000,edu, +92ac98744ee8b110a1e569b30c2f8c08778a382a,Grey wolf optimization algorithm for facial image super-resolution,India,India,India,20.59368400,78.96288000,edu, 922e0a51a3b8c67c4c6ac09a577ff674cbd28b34,Re-identification of pedestrians with variable occlusion and scale,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu, +92fb2cb7f9a54360ea4442f902472aded5e88c74,Blackthorn: Large-Scale Interactive Multimodal Learning,IT University of Copenhagen,"IT University of Copenhagen, Copenhagen, Denmark","Rued Langgaards Vej 7, 2300 København, Denmark",55.65963500,12.59095800,edu, 92fdb0c40f05fd02857f70efca469eac1c3a0e5f,Coherent Motion Detection with Collective Density Clustering,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu, 924fdb38c7186f216fd8844905fdad7db910544c,Discrete Graph Hashing via Affine Transformation,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +92d051d4680eb41eb172d23cb8c93eed7677af56,Adversarial Spatial Frequency Domain Critic Learning for Age and Gender Classification,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 92f4d324150c8da468829d51d1df8f659752f5c4,Design space exploration for adaptive privacy protection in airborne images,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +9215d36c501d6ee57d74c1eeb1475efd800d92d3,An optimization framework of video advertising: using deep learning algorithm based on global image information,China,China,China,35.86166000,104.19539700,edu, 92c4636962b719542deb984bd2bf75af405b574c,Active Image Clustering with Pairwise Constraints from Humans,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 92b7fb7c376f3e255e3292a6e9c3c4c9067b9ef6,Multi-Frame Super-Resolution for Face Recognition,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, 9255d3b2bfee4aaae349f68e67c76a077d2d07ad,Ocular Recognition for Blinking Eyes,Quanzhou Normal University,Quanzhou Normal University,"泉州师范学院, 东滨路, 丰泽区, 丰泽区 (Fengze), 泉州市 / Quanzhou, 福建省, 362000, 中国",24.87147415,118.66738687,edu, 922a8f36112c3f484df7161b334bbfc78600afc8,Object Categorization Using Class-Specific Representations,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 922ea66a77fbe53f781c83d3553f8b3e406965e7,Active Multitask Learning With Trace Norm Regularization Based on Excess Risk,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 3a430e576b134df617ff0d148e2d0bc5472b95d2,Accuracy prediction for pedestrian detection,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +3adf719a5f451a61e98823783b5f2e049bbffa2d,Image Captioning with Scene-graph Based Semantic Concepts,China,China,China,35.86166000,104.19539700,edu, 3a2a4edc0d3573b2d408ccc573bee4aa219c1e88,Person Re-Identification by Cross-View Multi-Level Dictionary Learning,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +3aec4bf3cee81e9574879bb04e5da7f8b310671b,Pattern Recognition Applications and Methods,"Instituto Superior Técnico, Instituto de Telecomunicações, Lisbon, Portugal","Instituto Superior Técnico, Instituto de Telecomunicações, Lisbon, Portugal","Instituto Superior Técnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal",38.73684640,-9.13934570,edu, 3a39f3cd10e2078d750cdc826e8fd203c9beda9e,Unified Sparse Subspace Learning via Self-Contained Regression,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 3aecb2e2d4f9c3858b0a009fc07682ecd30c95ef,Quality based frame selection for video face recognition,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 3a9fbd05aaab081189a8eea6f23ed730fa6db03c,Facial action unit prediction under partial occlusion based on Error Weighted Cross-Correlation Model,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, @@ -655,18 +910,25 @@ d1fac29bac01b7412770902914f67ed7d6b31516,Detecting Anatomical Landmarks From Lim 3a6334953cd2775fab7a8e7b72ed63468c71dee7,Automated social skills training with audiovisual information,Nara University of Education,"Center for Special Needs Education, Nara University of Education, Takabatake-cho, Nara-shi, Nara, Japan","Takabatakecho, Nara, Nara Prefecture 630-8528, Japan",34.67412100,135.84217100,edu, 3a85fd73b2063fe9c9c9a124e36f25bf60e83eea,Improving the quality of K-NN graphs through vector sparsification: application to image databases,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, 3a92179c7d9f938dd313ea2620f5b3329f167d56,First-person multiple object tracking in complex traffic scenes,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +3af1f13b72191e092aa5885913c6e5d00e4415b5,"Evaluation of facial expressions as an interaction mechanism and their impact on affect, workload and usability in an AR game","Ecole Centrale de Nantes, France","AAU UMR CNRS 1563, Ecole Centrale de Nantes, France","Nantes, France",47.21837100,-1.55362100,edu, +3a49507c46a2b8c6411809c81ac47b2b1d2282c3,Exploring joint encoding of multi-direction local binary patterns for image classification,China,China,China,35.86166000,104.19539700,edu, 3a56ca792284c14e41efd360eafdcbe39c5e73bd,Speaker authentication using video-based lip information,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 3ac173183f968a7f042d0b779009ded2af76d0fd,Emotion-Aware Connected Healthcare Big Data Towards 5G,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, +3a837dd686e5b34fd2fee1ecb340d9238128eff3,Recognition of facial images with subspace projection and dissimilarity representation,Ternopil National Economic University,Ternopil National Economic University,"Tarasa Shevchenka Blvd, 9, Ternopil, Ternopil's'ka oblast, Ukraine, 46000",49.55500790,25.59543550,edu, 3af6487da9a054f59beda393ae85718a1c5b200d,Boosted Test-FDA: a transductive boosting method,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 3adb3d43bd1e12659c7bc31f8da51adac4187abb,RAVEL: an annotated corpus for training robots with audiovisual abilities,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, +3a3aff63229d6b6e5310985d2c7fc18808895b7b,Kernel linear regression for face recognition,"Key Laboratory of Urban Planning and Decision-Making Simulation, Shenzhen, China","Key Laboratory of Urban Planning and Decision-Making Simulation, Shenzhen, China","Shenzhen, Guangdong, China",22.54309600,114.05786500,edu, 3ae3afd599203c7c68ea3b78dd2cd7391ccfd079,Double direction matrix based sparse representation for face recognition,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, 3abe50d0a806a9f5a5626f60f590632a6d87f0c4,Estimating pose and illumination direction for frontal face synthesis,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, 3a71881855d75cb68d0f0cb17be234ef1864011e,Fashion World Map: Understanding Cities Through Streetwear Fashion,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, +3a3e55cf5bfd689d6c922e082efa0cd71cd2ae5c,Face tracking with convolutional neural network heat-map,Chonnam National University,"Chonnam National University, Gwangju, Korea Rep.","77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea",35.17611750,126.90581670,edu, 3a2fed81b9ede781a2bb8c8db949a2edcec21aa8,"EmEx, a Tool for Automated Emotive Face Recognition Using Convolutional Neural Networks",Sapienza University of Rome,Sapienza University of Rome,"Piazzale Aldo Moro, 5, 00185 Roma RM, Italy",41.90376260,12.51443840,edu, +de1a5ce1abd2e82825a967b199e98480cfb8a909,Circular traffic sign recognition empowered by circle detection algorithm,"Bilgisayar Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye","Bilgisayar Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye","Büyükdere Mahallesi, Osmangazi Ünv. No:38, 26040 Odunpazarı/Eskişehir, Turkey",39.74887790,30.47581540,edu, debbab855c250c003941fde1e799570f0b18faab,An effective Gabor-feature selection method for face recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, de1aafc4f737d17b211fb84b80bace40f82c148b,Person Re-Identification by Dual-Regularized KISS Metric Learning,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, de49836bfbe2c4e42147afa1d6ec4d89b09bbb83,Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, dee39ab960882e70a87501118dfb61cf7a0cd017,Discrimination projective dictionary pair methods in dictionary learning1,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, +de02043fd479a2bcf23d30ab4496cc4e0d84f699,Zero-Shot Person Re-identification via Cross-View Consistency,China,China,China,35.86166000,104.19539700,edu, deda217e685a07f5fe6fec5f61bf12cf033e91f9,Region Based Robust Facial Expression Analysis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, dec76940896a41a8a7b6e9684df326b23737cd5d,Seeing through the expression: Bridging the gap between expression and emotion recognition,"Academia Sinica, Taiwan","Research Center for Institute of Information Science, Academia Sinica, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu, de92951ea021ec56492d76381a8ae560a972dd68,Discriminative filter based regression learning for facial expression recognition,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, @@ -674,34 +936,50 @@ de45bf9e5593a5549a60ca01f2988266d04d77da,Continuous valence prediction using rec deb89950939ae9847f0a1a4bb198e6dbfed62778,Accurate Facial Landmark Extraction,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, def340ffd4bc0bc57b33a447d99a3c2f64e1a572,Multiple neutrophils tracking in vitro array using high-order temporal information,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, de79437f74e8e3b266afc664decf4e6e4bdf34d7,To face or not to face: Towards reducing false positive of face detection,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c,Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird’s –Eye View,"Visual Intelligence Research Group Electronics and Telecommunications Research Institute, Daejeon, Korea","Visual Intelligence Research Group Electronics and Telecommunications Research Institute, Daejeon, Korea","1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea",35.22537080,126.84618340,edu, +def897862020dd63498a5ade81141c65582695df,Exploiting 3D faces in biometric forensic recognition,University of Sassari,"University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy","Viale Pasquale Stanislao Mancini, 5, 07100 Sassari SS, Italy",40.72401760,8.55789470,edu, de1216664eb86122f31b5e072301b2fb7f187251,Zero-Shot Image Classification Based on Deep Feature Extraction,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, dec5b11b01f35f72adb41d2be26b9b95870c5c00,Facial expression recognition by combination of classifiers,University of Technology of Compiègne,"Laboratory Heudiasyc, University of Technology of Compiègne, BP 20529. F-60205, France","57 Avenue de Landshut, 60200 Compiègne, France",49.40075300,2.79528080,edu, +de72d2563277eed2a9cee2b91b72dc3c462cf5fe,Face recognition with small and large size databases,"Escola Universitaria Politecnica de Mataro, Spain","Escola Universitaria Politecnica de Mataro, Spain","Carrer d'Ernest Lluch, 32, 08302 Mataró, Barcelona, Spain",41.52803210,2.43440810,edu, dee36d438d7dcb5923ab63dfe1e8676726dd4d69,SCOUT and affective interaction design: Evaluating physiological signals for usability in emotional processing,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, ded8252fc6df715753e75ba7b7fee518361266ef,Feature extraction for facial expression recognition by canonical correlation analysis,Bahçeşehir University,Bahcesehir University,"BAU Galata, 24, Kemeraltı Caddesi, Müeyyedzade, Beyoğlu, İstanbul, Marmara Bölgesi, 34425, Türkiye",41.02451875,28.97697953,edu, deea683731f468c7234e1089f48c4546e7003b18,Multi-Task Vehicle Detection With Region-of-Interest Voting,"Alibaba Group, Hangzhou, China","Alibaba Group, Hangzhou, China","Alibaba Group, 五常街道, 余杭区 (Yuhang), 杭州市 Hangzhou, 浙江省, 中国",30.28106540,120.02139087,edu, debe5f241a678d40b0457d448710d9a3483787ac,Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, +dec56c82568b1ae7ff532017d842f2ed00eba244,Is ICA significantly better than PCA for face recognition?,China,China,China,35.86166000,104.19539700,edu, de05ad26b25b7e7c4c3afd133c6aa2430939135d,Learning Visual Emotion Distributions via Multi-Modal Features Fusion,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, deff1653be22ef7ea2a4befe0eccdf660111c504,A Dual-Network Progressive Approach to Weakly Supervised Object Detection,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, de46fbad976ec6f02e53c70c1f92b4beb4d84f35,Online Cross-Modal Adaptation for Audio–Visual Person Identification With Wearable Cameras,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, de10c2806f7c5dce2381435546d95435ea362e37,Visual Tracking With Convolutional Random Vector Functional Link Network,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +de3eadd9da762010066eab138cbea5fa3089a290,VRSDNet: vehicle re-identification with a shortly and densely connected convolutional neural network,China,China,China,35.86166000,104.19539700,edu, de608b8696b151405105abef1de66a2199cf1f3c,Connected Component Model for Multi-Object Tracking,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 1fb1c935595016ff73cfde20a69d8c04475a537c,Color component feature selection in feature-level fusion based color face recognition,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +1fbc81959c49d04e292ef4cfc68dd431105cdd83,Enhanced Deep Feature Representation for Person Search,"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China","Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China","Beijing, China",39.90419990,116.40739630,gov, +1fc5dad90c459d25a53d73125ea50094e28d6525,Individualised model of facial age synthesis based on constrained regression,University of Bradford,"Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK","Richmond Rd, Bradford BD7 1DP, UK",53.79245230,-1.76566170,edu, 1f5725a4a2eb6cdaefccbc20dccadf893936df12,On the relevance of age in handwritten biometric recognition,"EUP Mataró, Spain","EUP Mataró, Spain","Mataró, Barcelona, Spain",41.53811240,2.44474060,edu, 1f39e264921766c3b1278cae92bcf6289f86ea21,Classification of Hyperspectral Images by Gabor Filtering Based Deep Network,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, 1fab72a0699fcc6a7f82af14bc025fc48065fa8a,On co-training online biometric classifiers,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, +1fcb905e4505a781fb0b375eb470f5661e38ae39,Stylized Adversarial AutoEncoder for Image Generation,China,China,China,35.86166000,104.19539700,edu, +1f3ae376b22136a2fe2e96632d4383653a42e4d4,A technique for face verification across age progression with large age gap,India,India,India,20.59368400,78.96288000,edu, 1fcdc113a5df2f45a1f4b3249c041d942a3a730b,Reconstruction-Based Metric Learning for Unconstrained Face Verification,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, 1f62e53a7346425fd33c98d59718807daff965eb,Multi-class AdaBoost learning of facial feature selection through Grid Computing,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, +1f5b9ac2a37431b59fd1cecf8fe57b92b6b6398e,Fast facial expression recognition for emotion awareness disposal,Technical University of Madrid,"Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Technical University of Madrid, Spain","CITSEM Park, Edificio La Arboleda. Campus Sur UPM. Ctra Valencia, Km 7. 28031 Madrid, 28031 Madrid, Spain",40.38980910,-3.62572400,edu, 1f284b24d4b937e326316e2b5bfde227ea2fcdc3,Generalized Dictionaries for Multiple Instance Learning,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 1ffa068439d779667afe40e9ec8d1560e15ab873,Improved Bayesian Approach for Face Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 1f80f6cc8aeb3d37a43a8e782298adfbb1ffb5c5,A design for integrated face and facial expression recognition,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, 1ffe119fa86a06e671adf6df51b4e8c06384bb16,Modeling Image Appeal Based on Crowd Preferences for Automated Person-Centric Collage Creation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 1fdaf52f084d4de682a9fcba000d5a0ae515116d,Multiple Illumination Estimation with End-to-End Network,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +1fd0871450a8f52a2419de0604f20b87c5f66e47,Illumination-Robust Optical Flow Using a Local Directional Pattern,Autonomous University of Madrid,"Autonomous University of Madrid, Madrid, Spain","Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain",40.54669830,-3.69436190,edu, +1ff79eba66d838d8c1cc90c22fab251bb7babc42,A new hybrid face recognition system,The University of Nottingham Malaysia Campus,"Faculty of Engieering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia","B34, 43500 Semenyih, Selangor, Malaysia",2.94513320,101.87609130,edu, 1f00f197f222be4a3b081515eb8d3f014860cec5,Discriminative Discriminant Common Vector in face verification,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +1f55079a33023518748d66869e7c539994c61c86,Object tracking techniques and performance measures — A conceptual survey,India,India,India,20.59368400,78.96288000,edu, 1fb980e137b2c9f8781a0d98c026e164b497ddb1,GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 1fc73cbc0b91a5eec313afcd251edf069b8bddd1,Semantic Manifold Alignment in Visual Feature Space for Zero-Shot Learning,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +1f281b87ef58c0dd244ec4743fb1f899b4948308,Class-specific Hough forests for object detection,"Microsoft Research Cambridge, UK","Microsoft Research Cambridge, UK","21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,edu, 1f4864e41b8f899774e300c2be0955dc1f4f9342,Recognizing emotions in spoken dialogue with acoustic and lexical cues,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 1fe1a78c941e03abe942498249c041b2703fd3d2,Face alignment based on improved shape searching,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, +1f35a65eab258f042edb8e1d4d5fff34f00a85bd,Finding people in archive films through tracking,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 1fd7a17a6c630a122c1a3d1c0668d14c0c375de0,"Facial landmark localization: Past, present and future",Moulay Ismail University,Moulay Ismail University,"Marjane 2, BP: 298، Meknes 50050, Morocco",33.85611100,-5.57439100,edu,Moulay Ismail University +6c0ad77af4c0850bd01bb118e175ecc313476f27,Extended multi-spectral face recognition across two different age groups: an empirical study,"NTNU, Norway","NTNU, Norway","Høgskoleringen 1, 7491 Trondheim, Norway",63.41949900,10.40207710,edu, 6c892a4a9d5430ee69b79c8cda5e4abad3f8f4cc,A secure watermarking technique without loss of robustness,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 6c0f0064afd2ce0a0a231b80de611ca34e208222,Shape normalisation for face recognition,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 6c28b3550f57262889fe101e5d027912eb39564e,Hybrid Approach for Facial Feature Detection and Tracking under Occlusion,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, @@ -714,13 +992,17 @@ de608b8696b151405105abef1de66a2199cf1f3c,Connected Component Model for Multi-Obj 6c21d11d4e1e1666ef009a8d62d1c64dc75f79c9,Accurate static pose estimation combining direct regression and geodesic extrema,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 6c3cb94507de2ed41c0673e7ef669f1b9e495e48,A novel eye detection algorithm utilizing edge-related geometrical information,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 6c92d87c84fa5e5d2bb5bed3ef38168786bacc49,Towards decrypting attractiveness via multi-modality cues,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +6c45759b0a1745870dd567dcad212faa393c767c,Occlusion Handling Human Detection with Refocused Images,"National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan","National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan","1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan",36.06146340,140.13389070,edu, 6c5fdec4dfddd51babf0fbd1275f2f2fa6bbbff0,Age-Invariant Face Recognition Using Coupled Similarity Reference Coding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 6c73ca2b877d333157c136cdd3f5e96cd8909cc7,Optimizing Multistage Discriminative Dictionaries for Blind Image Quality Assessment,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, 6c6bc06b7df4bf363838bfa2bacc79e0bb5cf0b9,Regularized Deep Learning for Face Recognition With Weight Variations,"Indraprastha Institute of Information Technology Delhi, India","Indraprastha Institute of Information Technology Delhi, Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, 6c1db70ac2d6fa130e627ccc5aeb17986979b9ba,Likelihood-based iterated cubature multi-state-constraint Kalman filter for visual inertial navigation system,Memorial University of Newfoundland,Memorial University of Newfoundland,"Memorial University of Newfoundland, Overpass, St. John's, Newfoundland and Labrador, A1B 5S7, Canada",47.57272510,-52.73305444,edu, 6c5c48066d59b429d57633b8716f9d69b8abb812,Joint Sparsity Model with Matrix Completion for an ensemble of face images,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, +6c36965f46bb21a36f56a1ed2741b7bc4df55f8d,Facial micro-expression recognition using discrete curvelet transform,India,India,India,20.59368400,78.96288000,edu, 6c4f34eee17d66677fd332772761f41213cdc59b,Anchored Kernel Metric Learning,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 6c015bdf0e2e2f090190876eaee247ec610323ec,What Dress Fits Me Best?: Fashion Recommendation on the Clothing Style for Personal Body Shape,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, +6c4ac38cb87b8ef711d49ef980edde9773a655e4,Texture Modeling Using Contourlets and Finite Mixtures of Generalized Gaussian Distributions and Applications,"Computer Science and Engineering, Universite du Quebec en Outaouais, Gatineau, Canada","Computer Science and Engineering, Universite du Quebec en Outaouais, Gatineau, Canada","800 King Edward Ave, Ottawa, ON K1N 6N5, Canada",45.41931210,-75.67856490,edu, +6c26744149ae08af8bc84137633495fa948b41ad,Robust periocular biometrics based on Local Phase Quantisation and Gabor transform,India,India,India,20.59368400,78.96288000,edu, 6ca9f4dd586c0d038bd82d22a1e298d8ac00af8e,Biometric Recognition in Automated Border Control: A Survey,Università degli Studi di Milano,Università degli Studi di Milano,"Università degli Studi di Milano, Via Camillo Golgi, Città Studi, Milano, MI, LOM, 20133, Italia",45.47567215,9.23336232,edu, 6cd5b56f4262c7e13f61a4a6f28eaa805f4e3291,Sparse representation based classification performance under different optimization forms for face recognition,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu, 6cd51f1699ceb4f433c88de70bbf46b27f527d4a,A novel solution for multi-camera object tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -731,15 +1013,21 @@ d05759932001aa6f1f71e7dc261c4716f57a5397,Locality Preserving Discriminant Projec d048916a637d29ce834680cd0d138b535f30f3f7,Multiple Object Detection by a Deformable Part-Based Model and an R-CNN,Macau University of Science and Technology,Macau University of Science and Technology,"Universidade de Ciência e Tecnologia de Macau 澳門科技大學 Macau University of Science and Technology, 偉龍馬路 Avenida Wai Long, 氹仔Taipa, 氹仔舊城區 Vila de Taipa, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, 澳門 Macau, 853, 中国",22.15263985,113.56803206,edu, d0c916d9045dd3d028774cf06255bbd041c72af0,Illumination normalization of face images with cast shadows,Institute of Industrial Science,Institute of Industrial Science,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, d00e9a6339e34c613053d3b2c132fccbde547b56,A cascaded convolutional neural network for age estimation of unconstrained faces,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, +d0fbebf278b7e4f10a25e583743080a57b2b3f3a,Online multi-target tracking via depth range segmentation,China,China,China,35.86166000,104.19539700,edu, d0b77a2cb1621d0b22005c61656349ed3f7b747a,A hybrid image dataset toward bridging the gap between real and simulation environments for robotics,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +d002e8e3c803e416c894811af86371c79272ec41,Boosting “shotgun denoising” by patch normalization,"Dpt. Matemàtiques i Informàtica, UIB, Ctra. Valldemossa Km. 7.5, 07122 Palma de Mallorca, Spain","Dpt. Matemàtiques i Informàtica, UIB, Ctra. Valldemossa Km. 7.5, 07122 Palma de Mallorca, Spain","Carretera de Valldemossa, km 7.5, 07122 Palma, Illes Balears, Spain",39.64122200,2.64555900,edu, +d09a3ec68311af4ebd3cbf7ed906aadffa94a464,Pedestrian Detection by Feature Selected Self-Similarity Features,China,China,China,35.86166000,104.19539700,edu, d040475eecdbfe361efdfc900d1cfd8671694fae,Multi-scale invariant abstracted under varying illumination,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +d0fdf0f3f47d9f9d11e84961573b324c51518f34,Painting completion with generative translation models,China,China,China,35.86166000,104.19539700,edu, d09fd7e0bb5d997963cfef45452724416b2bb052,Research on algorithm of state recognition of students based on facial expression,China Mobile Group Shanghai,"Pudong Branch, China Mobile Group Shanghai, Company Limited, Shanghai, China","Pudong, Shanghai, China",31.22151700,121.54437900,company, d088be037869cc814bdb8ecfbd9b7bbd51a5b056,Iris center localization using integral projection and gradients,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +d045f43bd9cbd5ad4833be011e3a33db55d1f7ce,Sparse factorial code representation using independent component analysis for face recognition,China,China,China,35.86166000,104.19539700,edu, d0d75a7116a76ccd98a3aeb6f6fff10ba91de1c1,Constrained Metric Learning by Permutation Inducing Isometries,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, d0bb66773b387ff4d75fdf61e0c52006057f553a,Probabilistic semi-supervised random subspace sparse representation for classification,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, d00fc71e4ed39ec5954ce9da4faa9c4eddb71929,Face Alignment with Unified Subspace Optimization of Active Statistical Models,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, d0296efc3c532269aaa7e8f856f5d1807af847fb,Improving the face recognition system by hybrid image preprocessing,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, d0d148c5124d53152e93d25ed91523dc7d83a248,Adaptive Metric Learning and Probe-Specific Reranking for Person Reidentification,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, +d0d56aa432da8fb92b2d5b3b5d83c3f05e349c6c,Robust structured sparse representation via half-quadratic optimization for face recognition,China,China,China,35.86166000,104.19539700,edu, d035c8bef0e0619fd68ab2cc1c9e71dfd730aefe,Position-based face hallucination method,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, d0b67ec62086b55f00dc461ab58dc87b85388b2b,Online facial expression recognition based on combining texture and geometric information,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, d0326153e297c18e739ae847d2bfaa26c1aa0a57,RADDACL2: a recursive approach to discovering density clusters,University of Massachusetts Dartmouth,University of Massachusetts Dartmouth,"University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA",41.62772475,-71.00724501,edu, @@ -751,23 +1039,33 @@ abf0aa1d8869d87f4ef62e2da058ccfb4bf46d18,A survey on aggregating methods for act ab89587477fcd48b374d4958778da16113965ff1,Depth image based analysis of facial expressions and head orientation,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, abfb95a0cdcb1425e942cc90a2d4d9f35d2ccf5e,Gender and ethnicity classification using deep learning in heterogeneous face recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, ab6c09ee2e466ceef2492f16472aeb76cd34009a,Data Augmentation for Cnn-Based People Detection in Aerial Images,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, +ababbd7c7a3a66f6b180ba0e3c3fdaa8c79c08f3,Hierarchical and multi-featured fusion for effective gait recognition under variable scenarios,University of Strathclyde,"Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK","16 Richmond St, Glasgow G1 1XQ, UK",55.86212200,-4.24228510,edu, +abf0e3ce602287875a2d1ddf1bb4ab76eceab977,Face recognition using generalized self organising map based on PCNN features,India,India,India,20.59368400,78.96288000,edu, ab6886252aea103b3d974462f589b4886ef2735a,Two-stage Multi-class AdaBoost for Facial Expression Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +ab2d1f43b4458856b71462faf3bf4e3613cb9a72,Visual odometry system simulator,Russia,Russia,Russia,61.52401000,105.31875600,edu, ab1b95677e8ea0f9881520b34a5f8192d141ef0e,Corrections to “Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities” [Dec 15 4741-4755],Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +ab60ec2e8fc1f53cbc9c1277e758bfbcfecb4e00,Improved face recognition on video surveillance images using pose correction,"Universiti Teknologi Malaysia, Johor Bahru, Malaysia","Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia","Balai Cerap UTM, Lengkok Suria, 81310 Skudai, Johor, Malaysia",1.55841230,103.64050410,edu, ab032a95f579508609858abe96d97f4272f3db50,Rank–sparsity balanced representation for subspace clustering,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, ab0981d1da654f37620ca39c6b42de21d7eb58eb,Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +ab703224e3d6718bc28f7b9987eb6a5e5cce3b01,Unseen head pose prediction using dense multivariate label distribution,Jiaxing University,"College of Mathematics and Information Engineering, Jiaxing University, Jiaxing, China","Nanhu, Jiaxing, China, 314000",30.74769200,120.73322300,edu, ab913a6b4732b31d226ab99faa1dc14a42c72ef5,Recognition and pose estimation of urban road users from on-board camera for collision avoidance,Institute of Industrial Science,Institute of Industrial Science,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, ab6428083fb7f0e7eec46e2c4965c69bf55e5f87,LIDAR and vision based pedestrian detection and tracking system,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, ab540c5be9f7ef688d3cd76765fcb794b92531fb,Spontaneous facial micro-expression detection based on deep learning,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, abaa114931d71f80e82fddf076e2a62666126f9d,Fast object detection based on several samples by training voting space,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, abd57ead5ca39a6adf02e1bb1e5d1fe0fcaf717c,Double Complete D-LBP with Extreme Learning Machine Auto-Encoder and Cascade Forest for Facial Expression Analysis,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, abe4c1d6b964c4f5443b0334a44f0b03dd1909f4,Deep learning based image description generation,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, +ab84b913c338026c43e9a4a5c05e4d17c8147fd6,Null-space based facial classifier using linear regression and discriminant analysis method,India,India,India,20.59368400,78.96288000,edu, ab9ee18797106dc5f1fc97b6f10456f75d81749d,Face hallucination: How much it can improve face recognition,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, ab8ecf98f457e29b000c44d49f5bf49ec92e571c,Emotion Recognition from Occluded Facial Expressions Using Weber Local Descriptor,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, ab7923968660d04434271559c4634790dc68c58e,Facial landmark detection via cascade multi-channel convolutional neural network,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, ab85c4082470e8053fcb418d4ee33659dac57e08,System for multimodal data acquisition for human action recognition,AGH University of Science and Technology,AGH University of Science and Technology,"AGH, Władysława Reymonta, Czarna Wieś, Krowodrza, Kraków, małopolskie, 30-059, RP",50.06570330,19.91895867,edu, abfba1dc9a9991897acd0e0d3d4ef9d4aef4151c,Development of facial expression recognition for training video customer service representatives,Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu, +abb217936f3cd357ccde4896bcc5d721972549b4,Visual odometry driven online calibration for monocular LiDAR-camera systems,"Environment Perception, Daimler AG, Sindelfingen, Germany","Environment Perception, Daimler AG, Sindelfingen, Germany","Sindelfingen, Germany",48.70745580,9.00440530,edu, +06d4f3b135ffb69c2e3ba10544ed1e7d684761bb,Convolutional gated recurrent networks for video semantic segmentation in automated driving,"Valeo Vision Systems, Ireland","Valeo Vision Systems, Ireland","IDA Business Park, Dunmore Rd, Galway, Ireland",53.52190380,-8.84273220,edu, 06118523e79fc6a0f75f05c75dfd95e283aa5eab,G2P: A new descriptor for pedestrian detection,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 06834da1a4cd8df213db142501a72000912b8b0f,Face features extraction based on multi-scale LBP,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, +06c7b96d46cc8d78f32a11f649707d22c585ba95,Face hallucination via K-selection mean constrained sparse representation,China,China,China,35.86166000,104.19539700,edu, +06a5e1b1161a84e082f9b4be6327c5b16579b04b,A preliminary study on imbalanced syndrome differentiation of cold and heat,China,China,China,35.86166000,104.19539700,edu, 065ec79836040f89df3c850a3b065de9222a8871,Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, 06b502150115324c8890b6d01184d74dc6b8ca72,A new package-group-transmission-based algorithm for human activity recognition in videos,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 0630b153af22b949e3160612dfd913d5a5f25f98,Collaborative text categorization via exploiting sparse coefficients,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, @@ -776,45 +1074,61 @@ abfba1dc9a9991897acd0e0d3d4ef9d4aef4151c,Development of facial expression recogn 06cb261c063a45e14d311fb4be1790857ee01db0,Personalized travel route recommendation from multi-source social media data,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 06f02199690961ba52997cde1527e714d2b3bf8f,Gaze locking: passive eye contact detection for human-object interaction,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 067fe74aec42cb82b92cf6742c7cfb4a65f16951,Robust Manifold Nonnegative Matrix Factorization,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, +06b0a66fd062a9bc7f0d94e270e4ddf47b275c10,Compact deep learned feature-based face recognition for Visual Internet of Things,"Electronics and Telecommunications Research Institute, Daejeon, Korea","Electronics and Telecommunications Research Institute, Daejeon, Korea","Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea",36.38376500,127.36694000,edu, 0695d67efdf7bf82a99a4fcf13e65ce6b97afc57,Can appearance patterns improve pedestrian detection?,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 06444375d9a0c44c9eb2d697c6b8a7d2a8aef430,A computational framework for attentional object discovery in RGB-D videos,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, +0699475af70765d0810881d3536b44a3c1d745a2,WSF-RBF based mining model to identify eye-Glasses worn people from face-images pool,India,India,India,20.59368400,78.96288000,edu, +0667bd18e0537359bc44a8f2ad94074b2e3a346e,Fast Pixelwise Adaptive Visual Tracking of Non-Rigid Objects,"Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France","Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France","7 Passage du Vercors, 69007 Lyon, France",45.72803070,4.82594290,edu, 0647c9d56cf11215894d57d677997826b22f6a13,Transgender face recognition with off-the-shelf pre-trained CNNs: A comprehensive study,"Norwegian Biometrics Lab, NTNU, Norway","Norwegian Biometrics Lab, NTNU, Gj⊘vik, Norway","Teknologivegen 22, 2815 Gjøvik, Norway",60.78973180,10.68219270,edu, 061fe2ffc3c5abc63d5f22306a6944b3a8bf8d7d,In defense of Nearest-Neighbor based image classification,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 065ae5d34ad86a79a480e3a0ec5a97f219353495,A robust multilevel segment description for multi-class object recognition,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, +06959f9cf3226179fa1b05efade843b7844fb2bc,Relevant linear feature extraction using side-information and unlabeled data,China,China,China,35.86166000,104.19539700,edu, 0689b01927eb99d9a2520fdfd4b238ca4de1ca7e,Temperature aware thread migration in 3D architecture with stacked DRAM,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, 0624406fc381e6810004b1d2aa40e447e6f11a73,Robust scale estimation for monocular visual odometry using structure from motion and vanishing points,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 0636baf08c741c7d0cadc0f88dc70f6bd023b8ee,Finding distinctive facial areas for face recognition,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, +06fc643a48464fd8280d11c1189f49afacbd43a4,Semantic mapping using object-class segmentation of RGB-D images,"Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany","Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany","Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany",50.74890520,7.20233730,edu, 06b4e41185734f70ce432fdb2b121a7eb01140af,Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 06518858bd99cddf9bc9200fac5311fc29ac33b4,Sparse Low-Rank Component-Based Representation for Face Recognition With Low-Quality Images,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, 062d173e11c19595909f598ccda04998b2bcfa27,Figure-ground image segmentation using genetic programming and feature selection,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, 0626501c230d2b74a8975e8b71c3ff30f0aeea2c,Natural neighbor-based clustering algorithm with density peeks,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, bdd3e33cb78965bcd15d69b7902c813b2ac864ff,GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, +bdd85b0db321ed22a3b2dc77154dac8b3ec3ad4d,Webcam-Based Eye Movement Analysis Using CNN,China,China,China,35.86166000,104.19539700,edu, bdf7298687fc1eab1589d32b0639426abf06da21,Sketch-based image retrieval by using saliency,Communication University of China,Communication University of China,"中国传媒大学, 朝阳路, 定福庄, 朝阳区 / Chaoyang, 北京市, 100024, 中国",39.91199955,116.55189141,edu, +bd477abdb4146aa4501b87d0aafaaec5d50e0fe3,Pedestrian detection in infrared images using Aggregated Channel Features,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, bddc822cf20b31d8f714925bec192c39294184f7,Facial expression recognition based on local binary patterns,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, bd9e0b6a90b51cc19b65f51dacd08ce1a7ccaac5,Avatar recommendation method based on facial attributes,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +bd5fd0b8dae02bec7bbb286f804b4a7b0c4457f7,Biometric association using transfer subspace learning,India,India,India,20.59368400,78.96288000,edu, bd75a21797c8fbed8e9a8f293163e4d4c94149fc,Online multi-object tracking based on hierarchical association and sparse representation,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, bd94570249919e89284aadf00986e453d3d55b76,VRID-1: A basic vehicle re-identification dataset for similar vehicles,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, bd46c9a7b51e8d8a7726b6fbacec80aa6f2097d4,Toward facial re-identification: Experiments with data from an operational surveillance camera plant,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +bd4e3d9303fca21cf51c88ae1ade73f852beb9f3,Semantic binary coding for visual recognition via joint concept-attribute modelling,Guizhou University,"Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025",26.42408400,106.67353400,edu, bd66dc891270d858de3adf97d42ed714860ae94d,Non-semantic facial parts for face verification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, bdab45dfbd4e21b707dbf2503147d1eb99d183da,EmoStory: A Game-based System Supporting Children's Emotional Development,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, -bd77b5e4edd665a0f42203760b8fb7933101a448,A novel approach for global abnormal event detection in multi-camera surveillance system,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +bd77b5e4edd665a0f42203760b8fb7933101a448,A novel approach for global abnormal event detection in multi-camera surveillance system,Shenzhen Institute of Advanced Technology,Shenzhen Institute of Advanced Technology,"Tengfei Rd, LongGang ZhongXin Cheng, Longgang Qu, Shenzhen Shi, Guangdong Sheng, China, 518172",22.72147100,114.21548200,edu, bdd203bcd3c41c336c5635fb026a78279d75b4be,Shannon information based adaptive sampling for action recognition,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, bd2dcca948801b68091f9ff9278049d7e4d87756,Facial feature localization using statistical models and SIFT descriptors,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, bd9834c57903db8d0095a92e9569317e5478cbbd,Nearest-neighbor search algorithms on non-Euclidean manifolds for computer vision applications,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, bde8271f6f9afb58008c3409cee9b1f8a81a0e3c,Aggregation of classifiers based on image transformations in biometric face recognition,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, bded465d7098f4e3c614ff02b3beec83b439413d,Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, bd104ea0561755c6c0b963ef9e1126b21f44abb2,Facial Expression Recognition in the Presence of Speech Using Blind Lexical Compensation,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, +bd53d3249cae4606e06999ee62f53bba6c4494d9,A deep convolutional network for medical image super-resolution,China,China,China,35.86166000,104.19539700,edu, bd592392942c3183f39e4a3105ef63f8cde953da,Fast Image Recognition Based on Independent Component Analysis and Extreme Learning Machine,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, bd245c4ee85a3685b0a8bd678d27bdf901cf5706,Soft biometric classification using periocular region features,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, bd0000fc37cecf32798aaae2c9571b010bbb52f6,Multi-stage feature learning based object recognition and 3D pose estimation with kinect,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, b2c0b0a2bbce14201d33687f587a8e51cb800351,Discriminative dictionary learning sparse coding for person re-identification,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +b2ea00005c5c8a900ef64fb625b7e7b9f766719e,Estimating Collective Attention toward a Public Display,"Siemens Corporate Technology, Munich, Germany","Siemens Corporate Technology, Munich, Germany","Otto-Hahn-Ring 6, 81739 München, Germany",48.09159280,11.64982970,company, b2cb335ded99b10f37002d09753bd5a6ea522ef1,Analysis of adaptability of deep features for verifying blurred and cross-resolution images,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +b2ff5762f7b68ca9d947a374cf3d87e85fc7e752,Manifold based fisher method for semi-supervised feature selection,China,China,China,35.86166000,104.19539700,edu, b2597f8d137b86920156b73fc9d6e3e64d597438,Detection of groups in crowd considering their activity state,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, b246d41b53db2243b4d7c3b811a92000fda1a69b,Simultaneous Dual-Views Reconstruction with Adaptive Dictionary and Low-Rank Representation,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +b25d312015b7130c0e4ae78d84970cc3956dbe42,Pedestrian detection based on Visconti2 7502,"Enjoyor Co., Ltd, Hangzhou, China","Enjoyor Co., Ltd, Hangzhou, China","Hangzhou, Zhejiang, China",30.27408400,120.15507000,edu, +b2de9cd4b124c36688cf2393341ed6b805120388,Fuzzy Linear Regression Discriminant Projection for Face Recognition,China,China,China,35.86166000,104.19539700,edu, b213fd648f4af2934e76884cf5ac4531e676f7cd,Combining points and lines for camera pose estimation and optimization in monocular visual odometry,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, b2d96d82d9504fa3e0880b12c4b1c048a7c3afd9,Specialized gaze estimation for children by convolutional neural network and domain adaptation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, b2f69961ef207d478e4dedc7ab955fd67b30ab3c,Looking at Pedestrians at Different Scales: A Multiresolution Approach and Evaluations,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +b2cbbaf194abaeea3a4e1c6993dcc597f119eb57,Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning,Huizhou University,"Network Center, Huizhou University, Huizhou, China","Huizhou, Guangdong, China",23.11225700,114.41580100,edu, b259f57f41f4b3b5b7ca29c5acb6f42186bbcf23,An interactive virtual mirror to support makeup for visually impaired persons,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, +b22e36568321a27ca8a2a09e9a6a3fa6cb89507e,Neural ranking for automatic image annotation,China,China,China,35.86166000,104.19539700,edu, b2ad921a42b68c88e02535204495ffa3ccb8eee5,FSVO: Semi-direct monocular visual odometry using fixed maps,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, b2a229d42a0b038d65db3a466a6127336774007d,Face recognition using extended local binary patterns and fuzzy information fusion,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, b259c82853a563c1f7725d37aa74cc4a6b6d5e3c,Hybrid method of iris detection based on face localization,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, @@ -826,19 +1140,28 @@ b2dc7244fbfac36d5df5c2c74de9c170aa7c8f1e,Covert Photo Classification by Fusing I b2f9e0497901d22b05b9699b0ea8147861c2e2cc,Facial Expression Recognition Using Local Region Specific Dense Optical Flow and LBP Features,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu, b26e8f6ad7c2d4c838660d5a17337ce241442ed9,A Cascaded Framework for Model-Based 3D Face Reconstruction,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, b22317a0bbbcc79425f7c8a871b2bf211ba2e9c4,Adaptive Feature Mapping for Customizing Deep Learning Based Facial Expression Recognition Model,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, +b2e4c58e5b7cd5db446a76551e9c37b650d5c2d7,Recognizing visual composite in real images,China,China,China,35.86166000,104.19539700,edu, b212f642007d6ba21dcd833c673b11399e7abd11,Social Behavioral Information Fusion in Multimodal Biometrics,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +b20840700d490364aa161536d014c6a13604502f,On-Road Multivehicle Tracking Using Deformable Object Model and Particle Filter With Improved Likelihood Estimation,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, b2a33ad2ad1de7f7bb03d10ec4f958e5109f5744,Fast and Accurate 3D Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, b270a993d03e639fffbe72c3f5c4b8f3564290a7,Enhancing class discrimination in Kernel Discriminant Analysis,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +0165410c4878ab90e6e82d59e6416fa8e0d40518,Comparative analysis of 3D face recognition using 2D-PCA and 2D-LDA approaches,India,India,India,20.59368400,78.96288000,edu, +0197f278e2dedd67ec5067f47037b8cdd3ae8509,Deep Multimodal Learning: A Survey on Recent Advances and Trends,University of Guelph,"University of Guelph, Guelph, Ontario, Canada","University of Guelph, Guelph, ON N1G 1Y4, Canada",43.52937320,-80.22525020,edu, +01e63d0a21fad7a29301749e9eafed826101b636,Robust face recognition by fusion local singular value feature and deformable model,China,China,China,35.86166000,104.19539700,edu, 0192c20b9f4fab5a4d76d3e78239f0ddf5deca09,Selective Face Deidentification with End-to-End Perceptual Loss Learning,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, +01c948d2b73abe8be1ac128a6439c1081ebca95a,A hybrid biometric identification framework for high security applications,China,China,China,35.86166000,104.19539700,edu, 012cdba79f672e45240791d6c52f213640347b54,Cross-view transformation based sparse reconstruction for person re-identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +017e64d98005d7acc117ef916fdb1bd0f4089ebd,Attribute-Aware Attention Model for Fine-grained Representation Learning,China,China,China,35.86166000,104.19539700,edu, 01e27b6d1af4c9c2f50e2908b5f3b2331ff24846,Toward Personalized Modeling: Incremental and Ensemble Alignment for Sequential Faces in the Wild,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, 011e4d450796a6c47c708b7e57bcaff79404ebb3,An Analysis of Time Drift in Hand-Held Recording Devices,Institute of Information Technology,Institute of Information Technology,"Institute of Information Technology, Sir Sayed Road, ফকিরাপুল, সিদ্দিক বাজার, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.72898990,90.39826820,edu, 01d3a0b5557dfaf9eb6656d52768c2e9c51e5443,ADORE: An Adaptive Holons Representation Framework for Human Pose Estimation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +013d5325e1225456de011bee0f45c5bfec872e9d,ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition,"Universitat de Barcelona - CVC, Spain","Universitat de Barcelona - CVC, Spain","Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain",41.38660800,2.16402000,edu, 0123d5b91e56d4c6e92eeb25b461afe8941f48b7,ClothingOut: a category-supervised GAN model for clothing segmentation and retrieval,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, 0133d1fe8a3138871075cd742c761a3de93a42ec,An SVM based scoring evaluation system for fluorescence microscopic image classification,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 0185bbb0f45bea11210689543fec253e87abde82,Neighborhood repulsed metric learning for kinship verification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 01729cb766b1016bac217a6a6cf24bbde19f56c8,Learning from essential facial parts and local features for automatic facial expression recognition,University of Lyon,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France","20 Avenue Albert Einstein, 69100 Villeurbanne, France",45.78332440,4.87819840,edu, 01266af6b6cc067ba8f6c507b3a194a3ce7e87e4,A passive stereo system for 3D human face reconstruction and recognition at a distance,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu, +018eaad53804a88d894a8370a94bb6db31a30ed4,ANN based human facial expression recognition in color images,India,India,India,20.59368400,78.96288000,edu, 0126f1566a5a9ba051137afb6c1fe28f93584def,Robust Biometric Score Fusion by Naive Likelihood Ratio via Receiver Operating Characteristics,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 013d0acff1e5410fd9f6e15520d16f4ea02f03f6,Learning Representative Deep Features for Image Set Analysis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 01d8c844848d3aae4da671f0131d050149e15b82,Human-Centered Social Media Analytics,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, @@ -846,40 +1169,57 @@ b270a993d03e639fffbe72c3f5c4b8f3564290a7,Enhancing class discrimination in Kerne 01add5c7872d7cc5aae36a1bb31f98a3eb84bb23,Soccer players identification based on visual local features,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 01d707c23f86971fd2929bd1b18c57892ff502bd,Image classification using mixed-order structural representation based on mid-level feature,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 017e94ad51c9be864b98c9b75582753ce6ee134f,Rapid one-shot acquisition of dynamic VR avatars,Walt Disney Imagineering,"Walt Disney Imagineering, USA","Walt Disney Imagineering, 1401, Flower Street, Grand Central Creative Campus, Glendale, Los Angeles County, California, 91201, USA",34.16191740,-118.28837020,company, +01c0e86de95062b64bc56216d8bb769cc896b223,Ear recognition based on 3D keypoint matching,China,China,China,35.86166000,104.19539700,edu, 01db5ff980ffab31d938881dea363ed60155cab3,Human face tracking system with multiple non-overlapping cameras,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +01df75d2020931ad30f827653cdde7fba06dda5f,"Joint people, event, and location recognition in personal photo collections using cross-domain context","Nokia Research Center Hollywood,  ","Nokia Research Center Hollywood,  ","Hollywood, FL, USA",26.01120140,-80.14949010,edu, +c5b623805ad8a2ef49ccb6e9b08d394c83061946,A hybrid [ICP and GA] image registration algorithm for depth images,India,India,India,20.59368400,78.96288000,edu, c5366f412f2e8e78280afcccc544156f63b516e3,Meta-Analysis of the First Facial Expression Recognition Challenge,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, c59aa0580d4d81e38463b87e0cb99358e99bde99,Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, +c59b13adfb853c7a6355f2538176f8279604ab07,An Information Bottleneck Approach to Optimize the Dictionary of Visual Data,India,India,India,20.59368400,78.96288000,edu, c5f946db8ae431b1894724ceb2f98c9c9c2b2173,Indexing quantized ensembles of exemplar-SVMs with rejecting taxonomies,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +c540439a8e9280264f314a89f8de2672ebe06bdf,CPGL: A classification method combining PCA and the Group Lasso method,China,China,China,35.86166000,104.19539700,edu, c54e00aadcdc8c4dcf556dbe4d30ff3952df94f5,Multi-Modal Knowledge Representation Learning via Webly-Supervised Relationships Mining,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, +c5482c2080ed780094091b9535865c4c4e5a2984,An improved deep feature learning method for person re-identification,China,China,China,35.86166000,104.19539700,edu, c59b62864a6d86eead075c88137a87070a984550,Facial expression recognition by correlated Topic Models and Bayes modeling,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, c5adb33bd3557c94d0e54cfe2036a1859118a65e,Fast and accurate vehicle detection by aspect ratio regression,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, c507eb104fbd4397da056b040b060d81d25d71dd,Managing Heterogeneous Datacenters with Tokens,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, c570f70459af243af9ca73709646239d82d07655,Cumulative attributes for pain intensity estimation,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, -c5b803c2fee9bbf6d9132f633de70332b5e80a4d,Deep Learning for Image-to-Text Generation: A Technical Overview,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +c5b803c2fee9bbf6d9132f633de70332b5e80a4d,Deep Learning for Image-to-Text Generation: A Technical Overview,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +c5973aca863d73673e78d1310e8b21b4ea5aca00,Deep Learning Based Identity Verification in Renaissance Portraits,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, c5a72b85b7a8a6413ab59d44e074dadd12b2dbad,Adaptive Hypergraph Learning and its Application in Image Classification,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, +c5f02a3aadcaaf0dfb11788cdfba037fbcab5929,Constrained Local Enhancement of Semantic Features by Content-Based Sparsity,"CEA LIST, Gif-sur-Yvette, France","CEA LIST, Gif-sur-Yvette, France","Bâtiment 565, 91191 Gif-sur-Yvette, France",48.72751930,2.15684880,edu, c592b16d04b27ad9a7d676f28a6a2b0649ceeb94,Computer vision for human stem cell derived cardiomyocyte classification: The induced pluripotent vs embryonic stem cell case study,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, c51152debb1678a069d86d1e72e7b070216caaa0,Multimedia multimodal methodologies,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, c5eba789aeb41904aa1b03fad1dc7cea5d0cd3b6,Age and gender classification using local appearance descriptors from facial components,University of Sassari,"University of Sassari, Computer Vision Laboratory, PolComing Viale Mancini, 5 07100 Sassari, Italy","Viale Pasquale Stanislao Mancini, 5, 07100 Sassari SS, Italy",40.72401760,8.55789470,edu, c5e37630d0672e4d44f7dee83ac2c1528be41c2e,Multi-task Deep Neural Network for Joint Face Recognition and Facial Attribute Prediction,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +c580b0a8dc655a8831ddbb7954bb929b1f236ebc,Looking deeper and transferring attention for image captioning,"Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China","Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, c5b4e8cd56459e5fadd6caf33da8ae7cdbaca93f,On Demand Retrieval of Crowdsourced Mobile Video,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +c5fff7adc5084d69390918daf09e832ec191144b,Deep learning application based on embedded GPU,China,China,China,35.86166000,104.19539700,edu, c570d1247e337f91e555c3be0e8c8a5aba539d9f,Robust semi-automatic head pose labeling for real-world face video sequences,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, c5437496932dcb9d33519a120821da755951e1a9,Robust principal component analysis via capped norms,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, c58a68628745ad189e47dcd956c7e23dc831da1f,Camera Compensation Using a Feature Projection Matrix for Person Reidentification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +c5765590c294146a8e3c9987d394c0990ab6a35b,What are good parts for hair shape modeling?,"Hewlett-Packard Labs, Palo Alto, CA, USA","Hewlett-Packard Labs, Palo Alto, CA, USA","3000 Hanover St, Palo Alto, CA 94304, USA",37.41587160,-122.14658550,edu, c553f0334fcadf43607925733685adef81fbe406,Adaptive feature learning CNN for behavior recognition in crowd scene,Universiti Teknologi Petronas,Universiti Teknologi PETRONAS,"UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia",4.38304640,100.97001540,edu, +c5773cd1b7650af3096a807a14a3199de9341aa7,Face image resolution enhancement based on weighted fusion of wavelet decomposition,Gj⊘vik University College,"Norwegian Biometric Laboratory, Gj⊘vik University College, Norway","Vik, Norway",61.08630850,6.58028780,edu, +c5ed62f2b57e03d0a2e0cf13772b216ffad30c19,Robustness of DR-LDP over PCANet for face analysis,India,India,India,20.59368400,78.96288000,edu, c5c7c5241023edba35d864820e5c900c78605c1c,iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, c5e039f2565def55ad7587c443868e815bc3ff7d,Correcting aspect ratio distortion of natural images by convolutional neural network,Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu, c5868f6552e75fa747f9f70539d1b7736a5b076f,Generation of a Precise and Efficient Lane-Level Road Map for Intelligent Vehicle Systems,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, c5c351b094cb1edfc28f90bcdad599ee5411f4f0,2D face pose normalisation using a 3D morphable model,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, c5f6ed9efc222fe2773135ffb4e5c567d98e64ea,Image Captioning with Word Level Attention,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, 91ae3f2775bc53321480df63fac07998c3f5a0c9,Saliency-guided 3D head pose estimation on 3D expression models,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, +919d08e9645404c60b88f5f5e8511e363ccdf922,"A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression","Grupo Technología del Habla, E.T.S.I. Telecomunicación (ETSIT) Universidad Politécnica de Madrid (UPM), Madrid, Spain","Grupo Technología del Habla, E.T.S.I. Telecomunicación (ETSIT) Universidad Politécnica de Madrid (UPM), Madrid, Spain","Av. Complutense, 30, 28040 Madrid, Spain",40.45238050,-3.72621210,edu, 91b7270b7f2a8a52df6a689f73d14986b2d48ba1,Improving Convolutional Neural Networks Via Compacting Features,"Collaborative Innovation Center for Geospatial Information Technology, Wuhan, China","Collaborative Innovation Center for Geospatial Information Technology, Wuhan, China","Wuhan, Hubei, China",30.59284900,114.30553900,edu, 91f0a95b8eb76e8fa24c8267e4a7a17815fc7a11,Robust facial landmark detection and tracking across poses and expressions for in-the-wild monocular video,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu, +91254b9dd1b7ab852bf6a6c346469cdf04cb0045,Distributed Object Detection With Linear SVMs,"Nokia Research Center, Beijing, China","Nokia Research Center, Beijing, China","China, Beijing Shi, Xicheng Qu, XiDan, Xidan N St, 118号西单商场2楼 邮政编码: 100031",39.91229390,116.37418790,edu, 91303efc57f2241b6aaee7ae86c4be60a7bad7f8,Embedded door access control systems based on face recognition: A survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 9166f46aa3e58befaefd3537e5a11b31ebeea4d0,Low-complexity HOG for efficient video saliency,Technische Universitt Darmstadt,"Technische Universitt Darmstadt, Computer Systems Group, Darmstadt, Germany","Hochschulstraße 10, 64289 Darmstadt, Germany",49.87741510,8.65461020,edu, 918b0901d1b00d63def88b1b27dbb20df72a0887,Multi-Label Classification by Semi-Supervised Singular Value Decomposition,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 914d7527678b514e3ee9551655f55ffbd3f0eb0a,Facial action unit detection using deep neural networks in videos,Bahçeşehir University,Bahcesehir University,"BAU Galata, 24, Kemeraltı Caddesi, Müeyyedzade, Beyoğlu, İstanbul, Marmara Bölgesi, 34425, Türkiye",41.02451875,28.97697953,edu, +91f5ee7eb4d67d5b40ac8e8ff8145d7eabe35fb6,Face recognition based on separable lattice 2-D HMM with state duration modeling,"Nagoya Institute of Technology, Japan","Nagoya Institute of Technology, Japan","Gokisocho, Showa Ward, Nagoya, Aichi Prefecture 466-8555, Japan",35.15713490,136.92483840,edu, 915c5f261f15de60c934d64b4b15fdfaea7b4a91,Hetero-Manifold Regularisation for Cross-Modal Hashing,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, 914c859b7d991a7e9c733011e1cbbb4277b6bf64,Human target detection and tracking under parallel binocular cameras,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +915ff2bedfa0b73eded2e2e08b17f861c0e82a58,Automated facial expression recognition app development on smart phones using cloud computing,Florida Institute of Technology,Florida Institute of Technology,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA",28.06468880,-80.62302200,edu, 91541fdafab6bc46955c084a8164bc5fc42568e7,Discrminative Geometry Preserving Projections,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 913a6b40250ad229c7b5a7484fe2a92c0714042c,Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 91a972eadf78f44bdc03cc5ebe27899091bc94e1,AutoMarkov DNNs for object classification,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, @@ -888,32 +1228,53 @@ c5f6ed9efc222fe2773135ffb4e5c567d98e64ea,Image Captioning with Word Level Attent 914382fdda66162bb8621703bb83d8d69b261e86,Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, 91ab27348b02d1a241f9f4778695d1bc26f55abe,Augmented poselets for human body pose inference by a probabilistic graphical model,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, 917411f5a2c799cf16f03114147cc726fee950dd,Energy-Efficient Pedestrian Detection System: Exploiting Statistical Error Compensation for Lossy Memory Data Compression,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, +9125903bf7aa68920fdca8296f703b9013a877ed,Deep spatial pyramid for person re-identification,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 912be40bda22038783af2bc0919fa181097c9f6f,Personal identification using periocular skin texture,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 1cf1505e4917d647f9416823e4574f7e3a67c55c,Dense Invariant Feature-Based Support Vector Ranking for Cross-Camera Person Reidentification,University of Sheffield,The University of Sheffield,"University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK",53.38152480,-1.48068143,edu, 1c0f3a0fe2369e5357728ff81b6812e952f6337d,Multimodal person re-identification using RGB-D sensors and a transient identification database,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 1c4445b9a41bfaa86c5591b9188843de85576990,Sparse coding and dictionary learning with class-specific group sparsity,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, -1c3ec6379ba664d52d250ac1647d379ec970fa5c,Object proposal by multi-branch hierarchical segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +1c3ec6379ba664d52d250ac1647d379ec970fa5c,Object proposal by multi-branch hierarchical segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +1c15e172032404df48ef685d6b1a5536843a7bd4,Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition,China,China,China,35.86166000,104.19539700,edu, 1ca1b4f787712ede215030d22a0eea41534a601e,Human age estimation: What is the influence across race and gender?,North Carolina Central University,North Carolina Central University,"North Carolina Central University, George Street, Hayti, Durham, Durham County, North Carolina, 27707, USA",35.97320905,-78.89755054,edu, +1c4404885443b65b7cbda3c131e54f769fbd827d,CNN expression recognition based on feature graph,China,China,China,35.86166000,104.19539700,edu, 1cc19cee80108891ea79c0f9de9622ff7a369538,Visual Cryptography for Biometric Privacy,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, +1c09c81b63c84d1001ce7896f45a4ee50e2f8f49,Face detection for low power event detection in intelligent surveillance system,Kongju National University,"Div. of Electrical Electronics and Control Engineering, Kongju National University, Kongju, Republic of Korea","56 Gongjudaehak-ro, Shinkwan-dong, Gongju, Chungcheongnam-do, South Korea",36.46898240,127.13999930,edu, +1cb5547c3f5ff42746bf9c4e083795aed3c8c609,Capped Lp-Norm Graph Embedding for Photo Clustering,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, +1cc952244563c61596d58d8f6c339a235fa975f7,Validation and benchmarking for pedestrian video detection based on a sensors simulation platform,"LIVIC (INRETS/LCPC), 14 route de la minière, building 824, 78000 Versailles - Satory, France","LIVIC (INRETS/LCPC), 14 route de la minière, building 824, 78000 Versailles - Satory, France","building 824, 14 Route de la Minière, 78000 Versailles, France",48.78243000,2.10191900,edu, +1ce1bb9d63f189f3af88e3f874cb901694f790cc,FPGA-based pedestrian detection using array of covariance features,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 1c25a3c8ef3e2c4dbff337aa727d13f5eba40fb2,Artistic stylization of face photos based on a single exemplar,Memorial University of Newfoundland,Memorial University of Newfoundland,"Memorial University of Newfoundland, Overpass, St. John's, Newfoundland and Labrador, A1B 5S7, Canada",47.57272510,-52.73305444,edu, +1c9b9f3b3bf89f1c051c07411c226719aa468923,Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model,"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciencse, Beijing, China","Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciencse, Beijing, China","19 N 4th Ring Rd W, Haidian Qu, Beijing Shi, China",39.98632460,116.32595300,edu, +1c8b26d593bef51f2f56c64acaae65d8ee40b333,Calibrating and centering quasi-central catadioptric cameras,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +1c557a18fd8f4f1052ff3f831a694bd50ceb6664,Training Object Detectors with Synthetic Data for Autonomous UAV Sampling Applications,University Park,"Pennsylvania State University, University Park, 16802, USA","PENN ST UNIV, PA 16802, USA",40.80840750,-77.86388350,edu, 1c99c06f346fc035465c8b215e74f0ccf67f36a0,Manifold alignment using curvature information,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu, 1c924a8264710ed7213e2ec180e49028fe01ca10,A global-to-local scheme for imbalanced point matching,Western Kentucky University,Western Kentucky University,"Western Kentucky University, Avenue of Champions, Bowling Green, Warren County, Kentucky, 42101, USA",36.98453170,-86.45764430,edu, 1c5d523512b4b3ccdccd66337b893ee054f03f45,Deep joint discriminative learning for vehicle re-identification and retrieval,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +1c404de2c85a1b58cf7048ca645de6d392358779,Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos,Yahoo!,"Yahoo! Research, Sunnyvale, CA, USA","Sunnyvale, CA, USA",37.36883000,-122.03634960,company, 1cf74b1f4fbd05250701c86a45044534a66c7f5e,Robust Object Detection with Interleaved Categorization and Segmentation,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, e29ba8930f379245035ff7d33b5693592ee491aa,Discriminative subgraphs for discovering family photos,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +e286f4fb60fd819dd36db44d0f56dc76932aaee4,Privacy-Preserving Extraction of HOG Features Based on Integer Vector Homomorphic Encryption,Shaanxi Normal University,"Shaanxi Normal University, Xi’an, China","China, Shaanxi, Xi'an, Chang'an, 长安南路",34.15759600,108.89340800,edu, e23b3779547682b3e1f5a9108ed1afddc97af679,Silhouette labeling and tracking in calibrated omnidirectional video sequences,University of Piraeus,University of Piraeus,"Πανεπιστήμιο Πειραιώς, 80, Καραολή και Δημητρίου, Απόλλωνας, Νέο Φάληρο, Πειραιάς, Δήμος Πειραιώς, Περιφερειακή Ενότητα Πειραιώς, Περιφέρεια Αττικής, Αττική, 185 34, Ελλάδα",37.94173275,23.65303262,edu, e2f994059b831d4b752a5e8131ccee250ca56ffb,Fully-Convolutional Siamese Networks for Football Player Tracking,Communication University of China,Communication University of China,"中国传媒大学, 朝阳路, 定福庄, 朝阳区 / Chaoyang, 北京市, 100024, 中国",39.91199955,116.55189141,edu, e29d51146bd7bd479d7a638054f1d6dcba71fa1b,Approximate Thumbnail Preserving Encryption,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, e2106bb3febb4fc8fe91f0fcbc241bcda0e56b1e,Image classification: A hierarchical dictionary learning approach,"Army Research Office, Raliegh, NC","Army Research Office, RTP, Raliegh, NC, United States of America","800 Park Offices Dr, Durham, NC 27703, USA",35.89612180,-78.87039630,mil, e23004116d85976ad0a2a4da69914a2c9d1ea5ab,Multi-part compact bilinear CNN for person re-identification,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +e23bc755f7e161d524fcc33b7d927d67dd4a5e76,Computer vision based personalized clothing assistance system: A proposed model,India,India,India,20.59368400,78.96288000,edu, e21691680d3c5bbccd89b0850504b604a53a940a,Multi-modal (2-D and 3-D) face modeling and recognition using Attributed Relational Graph,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, +e225e1b77d87f8a6ee8e7ce3c93994233ba74dcb,Survey on Contemporary Remote Surveillance Systems for Public Safety,Finland,Finland,Finland,61.92411000,25.74815110,edu, e2f78d2f75a807b89a13115a206da4661361fa71,Trip Outfits Advisor: Location-Oriented Clothing Recommendation,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, +e2658c545d0b8033ea1d7a775a4ae18f56b3bcc7,Objectness Region Enhancement Networks for Scene Parsing,China,China,China,35.86166000,104.19539700,edu, e2c38989fa080756292b5ca9d9f7de3f746590ea,3-DOF point cloud registration using congruent triangles,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, e24edb77083e9cba6fc50eadb3ec64ddbb43c120,Face recognition with shared-specific dictionary learning and locality-constrained sparse representation,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, +e24d6b40e956e11e5f0a972dca6e8a3a337d502e,Variants of dense descriptors and Zernike moments as features for accurate shape-based image retrieval,India,India,India,20.59368400,78.96288000,edu, +e2b8b3d5f6d84885bd33ef41b1ee419c06147b7f,Assemble New Object Detector With Few Examples,China,China,China,35.86166000,104.19539700,edu, +e2f91b21f3755914c193a546ba8718acf81c845b,Face recognition system with automatic training samples selection using self-organizing map,Slovak University of Technology in Bratislava,"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19 Bratislava, Slovak Republic","Ilkovičova 2961/3, 841 04 Karlova Ves, Slovakia",48.15185320,17.07334460,edu, +e22e848d3bbe8e75bba09203b70bdb1324dad471,A Limb-Based Graphical Model for Human Pose Estimation,Baidu,Baidu,"1195 Bordeaux Dr, Sunnyvale, CA 94089, USA",37.40922650,-122.02366150,edu, e20e6c134369e3d63ba0cbbc5f2088db24bf3d2e,Recovering human pose in 3D by visual manifolds,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, e28c6b37d1fdd7f1721f251181de6fa53e578d95,DeeptransMap: a considerably deep transmission estimation network for single image dehazing,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +e2fd91726073975f6e6eb7a88c9993da30f1621e,3D model reconstruction and animation from single view face image,India,India,India,20.59368400,78.96288000,edu, e281a0f632f5dee3697578d8ddf69da92c9410ab,GbLN-PSO and Model-Based Particle Filter Approach for Tracking Human Movements in Large View Cases,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, e2374b76bdc2010b1c90fe5b2bf6c13d5a3b20ed,Deep salient-Gaussian Fisher vector encoding of the spatio-temporal trajectory structures for person re-identification,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" +e2b2812f1f43206ec4059b459745e724f22bb878,A dimensionality reduction method based on structured sparse representation for face recognition,China,China,China,35.86166000,104.19539700,edu, e27680dea38b7a0272042a82577eb58eb552785c,Multiscale Multitask Deep NetVLAD for Crowd Counting,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, e2cfd82831bde290f6016a3e9a576e8a79a2cac5,Image Piece Learning for Weakly Supervised Semantic Segmentation,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, e2faaebd17d10e2919bd69492787e7565546a63f,Exploring hybrid spatio-temporal convolutional networks for human action recognition,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, @@ -921,17 +1282,26 @@ e2063ee46a5828ea258ad9ff4f4bcce535a5301b,Iterative linear regression classificat e265b020323937234d4ef85b4773e95549baf580,Occupancy measurement by object tracking at building entrances,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, e2e19b7259e43f7388bff1f10c5bce0a7c16dc38,Bayesian constrained local models with depth data,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu, e25cf0b9704e8ceb346ea00a9e98a9415f0228fa,Dimensionality Reduction in Multiple Ordinal Regression,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +b93ccd76e56a60461bd60604c918c33111288e80,Human-centered video analysis for multimedia postproduction,"Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece","Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece","Thermi 570 01, Greece",40.56676110,22.99801470,edu, b99dd917f85096cd82cd1ce37b39bbf8a8596bd3,A robust infrared face recognition method based on adaboost gabor features,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, b917e8b974dd96efcfd84e765d81a69c96d01107,Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, b9dc8cc479cacda1f23b91df00eb03f88cc0c260,Event Specific Multimodal Pattern Mining for Knowledge Base Construction,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, +b96583c64a3e098adff6114a5dd42208a6ca67fa,A taxonomy of 2D and 3D face recognition methods,India,India,India,20.59368400,78.96288000,edu, b9dbc8ddb68fd4bc5bc958fc0a8e63152fc87c88,Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, b95abc092817c5ff8a84e8cc59053c4108e0176a,Road junction detection from 3D point clouds,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +b9146b314812231d09587e3a9f622dda65d3cc40,A survey on social image understanding,China,China,China,35.86166000,104.19539700,edu, +b95c8bf1fa882d3c2ff466bae1eabdc533781806,An Overview of Image Recognition and Retrieval of Clothing Items,"Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India","Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India","Wanadongri ct, Wanadongri, Maharashtra 441110, India",21.09444770,78.97838310,edu, +b9e43abd1f798f222dd7bf9caf8b597a0eed6316,Local Co-Occurrence Selection via Partial Least Squares for Pedestrian Detection,"State University of New York, Buffalo","University at Buffalo, The State University of New York, Buffalo, NY, USA","Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu, +b9237a613306050cd6d194c71c58a7f85bfb70e9,Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment,China,China,China,35.86166000,104.19539700,edu, +b9a6f14f5d3af6bdb31b40c6289e1b7aa323412f,Artificial Intelligence Techniques for Rational Decision Making,University of Johannesburg,"University of Johannesburg, Johannesburg, South Africa","Rossmore, Johannesburg, 2092, South Africa",-26.18878120,27.99646720,edu, b91f54e1581fbbf60392364323d00a0cd43e493c,A high-resolution spontaneous 3D dynamic facial expression database,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, b99588bd0393a60a0c627970ab6cab7338d08ca6,Semantic segmentation based on iterative contraction and merging,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, b944cc4241d195b1609a7a9d87fce0e9ba1498bc,Kernel Sparse Representation-Based Classifier,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, b910590a0eb191d03e1aedb3d55c905129e92e6b,Robust gender classification on unconstrained face images,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, b9d81aee3d1a3d8cc64c70d2185e6c27b94f8f66,An efficient illumination normalization method in a transformed domain,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +b9000808ac1516e5bf134d02d362a46e1793b092,Emotion Understanding Using Multimodal Information Based on Autobiographical Memories for Alzheimer's Patients,"Imperial College, London, England","Imperial College, London, England","Kensington, London SW7 2AZ, UK",51.49879970,-0.17487720,edu, b97cdc4bd0b021caefe7921c8c637b76f8a8114b,The Deep Regression Bayesian Network and Its Applications: Probabilistic Deep Learning for Computer Vision,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, +b908487b30002d5ae1ebd819880a713494a45a40,Developmental Network: An Internal Emergent Object Feature Learning,China,China,China,35.86166000,104.19539700,edu, b9a65dd30e417b45eb50add150e0b155e69ad14d,Analyzing Facial Images using Empirical Mode Decomposition for Illumination Artifact Removal and Improved Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, b96ae619d7097c2492006c28267ba010578c1c6b,Semi-supervised learning in traffic scene surveillance based on label-propagation,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, b9f65f3ea5aef51e7955e1972aefc1dddb400b59,Weighted hybrid features for person re-identification,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu, @@ -939,6 +1309,9 @@ b95023870b21653a3777c640aeb32c342a3d906e,A facial expression model with generati b9c7b2b419b44def1b0b4da9f93fcc339fc20a41,Pain detection through shape and appearance features,University of Lyon,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France","20 Avenue Albert Einstein, 69100 Villeurbanne, France",45.78332440,4.87819840,edu, b9cedd09bdae827dacb138d6b054449d5346caf1,Canonical Stiefel Quotient and its application to generic face recognition in illumination spaces,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, b95d13d321d016077bd2906f7fbd9be7c3643475,Automatic smile recognition from face images,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +b956d741740186c99c64bb789c87da000ed3c3a5,A novel method for online action segmentation and classification,China,China,China,35.86166000,104.19539700,edu, +b9770484cfb2d7c7b1792b766b04703ecce0032a,Unsupervised image transformation for outdoor semantic labelling,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, +b9b5bcd2fe579766074eef40ffbea0b4f4cc2283,Deep metric learning for person Re-identification and De-identification,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu, b97c7f82c1439fa1e4525e5860cb05a39cc412ea,Illumination Normalization Based on Simplified Local Binary Patterns for A Face Verification System,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, b9fbf264d61c44c9737513d2cfd331b34d24fd64,A Hardware Architecture for Cell-Based Feature-Extraction and Classification Using Dual-Feature Space,Hiroshima University,Hiroshima University,"Hiroshima University 広島大学 東広島キャンパス, 出会いの道 Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu, 30c5d2ec584e7b8273af6915aab420fc23ff2761,Noise-Resistant Local Binary Pattern With an Embedded Error-Correction Mechanism,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, @@ -947,9 +1320,11 @@ b9fbf264d61c44c9737513d2cfd331b34d24fd64,A Hardware Architecture for Cell-Based 30c5000bd841388d426de26df678f567b75210c7,Predicting and Understanding Urban Perception with Convolutional Neural Networks,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu, 3027c9d0659a89c3bbad1c7e31c474e8dd4f934d,Automatic Extraction of Built-Up Areas From Panchromatic and Multispectral Remote Sensing Images Using Double-Stream Deep Convolutional Neural Networks,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 3036e85864daa85935d1cebd28738dceaeb2194b,Constructing Descriptive and Discriminant Features for Face Classification,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, +3083bd7a442af6a1d72cdc04ae1ad7c30697a4e8,Facial expression recognition with enhanced feature extraction using graph fourier transform,India,India,India,20.59368400,78.96288000,edu, 307ed58717ecc925bdf3f56da4560b44ea6bc312,Designing A.ne Transformations based Face Recognition Algorithms,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, 308025c378aef6acf9fe3acbddbfddcaa4271e8c,A lp-norm MTMKL framework for simultaneous detection of multiple facial action units,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 30ec7ddd215c69d4c196842f4328ef18462bab2a,A New Gait Recognition Method Based on Body Contour,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +3074da78949dc2d710892c66904b61d9ff684e50,Facial Expression Analysis for Distress Detection,India,India,India,20.59368400,78.96288000,edu, 30666d175714e29f03a2a649955e714b0cfd88cc,Two-stream person re-identification with multi-task deep neural networks,Xiamen University of Technology,"Xiamen University of Technology, Xiamen 361024, China","600 Ligong Rd, Jimei Qu, Xiamen Shi, Fujian Sheng, China, 361024",24.62053900,118.08463100,edu, 300073a2f9720388e35a27e11ebe53c619969616,Local shape patch based object detection,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 30188b836f2fa82209d7afbf0e4d0ee29c6b9a87,Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, @@ -958,30 +1333,38 @@ b9fbf264d61c44c9737513d2cfd331b34d24fd64,A Hardware Architecture for Cell-Based 30a327e5960c16f973ba791743d491a5a6d52dbd,Face image quality assessment for face selection in surveillance video using convolutional neural networks,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 30f6c4bd29b9a8c94f37f3818cf6145c1507826f,The research of facial features localization based on posterior probability deformable model,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, 30b7d284c29e49a55797041dffd26d8cfe3ad9ca,First-person activity recognition with C3D features from optical flow images,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, +30c30d661ad009b5edaf6dc887d4e394a24e148f,Visual speaker authentication by ensemble learning over static and dynamic lip details,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 3080026f2f0846d520bd5bacb0cb2acea0ffe16b,2.5D cascaded regression for robust facial landmark detection,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, 30fdf33bdc29c8bb3a2c5b1ff95ffd351c2f8e21,Joint instance and feature importance re-weighting for person reidentification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 30dc95969c36187ae96e414f2f45e3729213a5b8,Newton optimization based Congealing for facial image alignment,"GIPSA-Lab, Grenoble, France","GIPSA-Lab, Grenoble, France","GIPSA-lab, 11, Rue des Mathématiques, Médiat Rhône-Alpes, Saint-Martin-d'Hères, Grenoble, Isère, Auvergne-Rhône-Alpes, France métropolitaine, 38400, France",45.19292450,5.76619830,edu, b161d261fabb507803a9e5834571d56a3b87d147,Gender recognition from face images using a geometric descriptor,University of Campinas (UNICAMP),"Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil","Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universitária, Campinas - SP, 13083-852, Brazil",-22.81483740,-47.06477080,edu, +b1e7da535171de484992a0f1a4fb915e67fb873c,Automatic and robust 3D face registration using multiresolution Spherical Depth Map,China,China,China,35.86166000,104.19539700,edu, b12ac473cab26e08657a6d8f000be8cbd5dd54aa,Cross-view gait recognition using view-dependent discriminative analysis,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, +b15cfd1e2f46a943328fa32fe0a571b8f7073b9f,Person Re-Identification by Deep Learning Muti-Part Information Complementary,"Academy of Broadcasting Science, No.2 Fuxingmenwai Road, Xicheng District, Beijing, China","Academy of Broadcasting Science, No.2 Fuxingmenwai Road, Xicheng District, Beijing, China","6 Fuxingmen Outer St, Xicheng Qu, Beijing Shi, China",39.90626440,116.34864330,edu, b1a6a0fdb4c12d7e083bd4d828e0c469dec53205,3D face recognition from complement component range face images,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, b14e3fe0d320c0d7c09154840250d70bc88bb6c0,The Role of Featural and Configural Information in Face Classification A Simulation of the Expertise Hypothesis,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, b11b71b704629357fe13ed97b216b9554b0e7463,ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, b1309769d0411478af6c354f42438fde3813ee85,Image Cosegmentation by Incorporating Color Reward Strategy and Active Contour Model,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +b13ca5fdd9de920915d602047305c1ccc6cab4cb,Convolutional neural networks for crowd behaviour analysis: a survey,India,India,India,20.59368400,78.96288000,edu, b131f10070538e55bb9f6026cc5c518736a0780d,Efficient representation learning for high-dimensional imbalance data,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, b15b11002ef3c30c101d8096d391d686e583caf1,Pose graph for improved monocular visual odometry,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu, b1efefcc9a5d30be90776571a6cc0071f3679753,BRoPH: A compact and efficient binary 3D feature descriptor,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, b1d87b57212b9e449e65d4554a42c1b3379a7f0d,Pedestrian detection via a leg-driven physiology framework,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +b1f9657ad8033bca6f25a7aef019a1cb45b75ce2,High performance and fast object detection in road environments,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, b1546f723d11f95ee50b1db1bdce8de8de85a54f,Facial depth map enhancement via neighbor embedding,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +b1e6078cfd44ea816cf2fbc05d10c69543834150,Accurate Object Recognition with Shape Masks,"INRIA Grenoble, LEAR - LJK, Montbonnot, France","INRIA Grenoble, LEAR - LJK, Montbonnot, France","655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France",45.21788600,5.80736900,edu, +b109eb542610ead0b83ea23b4b2f45b18747e8bd,A multiple kernel learning approach to multi-modal pedestrian classification,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, b110375e11086527aaf0d2b38e5055432a720c35,Learning discriminative dictionaries with partially labeled data,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, b1bd2e80fac0b3629f46a3e7fd403e82688fc733,Concept-aware ensemble system for pedestrian detection,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, b1c257c4800ad1f427a08da0813a8d9d34dbdea0,Multimodal Cancelable Biometrics,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, b104c8ef6735eba1d29f50c99bbbf99d33fc8dc2,Face hallucination based on neighbor embedding via illumination adaptation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, b12deb63a8964b3d5cd6a95f0b4860bbb377f630,Automatic Recognition of Personality Traits: A Multimodal Approach,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu, b1abe5b8eb9a153ab1013243e2180777ec2fdb56,Mutually incoherent pose bases for Action recognition,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, -b13e77dd6b6891347d977f011e03ef2c51008fd8,Augmenting deformable part models with irregular-shaped object patches,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +b13e77dd6b6891347d977f011e03ef2c51008fd8,Augmenting deformable part models with irregular-shaped object patches,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, b1045a2de35d0adf784353f90972118bc1162f8d,Quantifying and Transferring Contextual Information in Object Detection,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, b1bbe8b1afb97d590269bae95c34c87a8aa388cb,Multi-target tracking by continuous energy minimization,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01,Vehicle detection and localization on bird's eye view elevation images using convolutional neural network,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, +b1a8315b4843da3d0b61c933a11d9b152cfaae70,Adaptive system to learn and recognize emotional state of mind,India,India,India,20.59368400,78.96288000,edu, 0ecdbaf1d77b9c0f16c1d52210011415f7c6396f,An evaluation of Gabor orientation as a feature for face recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 0ef20991e0ecc7dc3f6e0e5fd6ee93c4970206f3,Facial video super resolution using semantic exemplar components,"Sharp Laboratories of America, Camas, WA","Sharp Laboratories of America, Camas, WA","5750 NW Pacific Rim Blvd, Camas, WA 98607, USA",45.59332750,-122.46110560,company, 0e85b9c05d6f6d190f7c0434e3356a8bfb97bdec,Person Re-Identification with Vision and Language,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, @@ -990,19 +1373,25 @@ b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01,Vehicle detection and localization on b 0e8a7994f9b8c7c7686a4b4659920970aafa1b77,TraCount: a deep convolutional neural network for highly overlapping vehicle counting,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 0ef11c7bda735015d7ea76b8d760aa7bb989a4f2,Transfer dimensionality reduction by Gaussian process in parallel,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 0eceb033643fbededefef1815ca7cea3b47f4a1c,Human face security system using alternative linear discriminant analysis based classifier,Kumamoto University,Kumamoto University,"熊本大学黒髪キャンパス, 熊本菊陽線, 中央区, 熊本市, 熊本県, 九州地方, 860-0863, 日本",32.81641780,130.72703969,edu, +0e43417efcc2bf5cb11cae87502685c5e0455bac,Facial asymmetry analysis based on 3-D dynamic scans,University of Central Lancashire,"ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.","Fylde Rd, Preston PR1 2HE, UK",53.76413780,-2.70924530,edu, 0e5557a0cc58194ad53fab5dd6f4d4195d19ce4e,Deep Aging Face Verification With Large Gaps,"North Acton, London","North Acton, London","North Acton, Victoria Road, Acton, London Borough of Ealing, London, Greater London, England, W3 6UP, UK",51.52344665,-0.25973535,edu, +0e14ff81568e3c5aedf6764f6be1ece325f67c02,Deciphering rangeland transformation—complex dynamics obscure interpretations of woody plant encroachment,"Artesian Insights, Houston, USA","Artesian Insights, Houston, USA","13099 Westheimer Rd, Houston, TX 77077, USA",29.73400640,-95.61801550,edu, 0e8a6bfa372d64b9630d2f6182ac07799a9c2161,Nearest-neighbor classification using unlabeled data for real world image application,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, -0e424b458f4fe94fc74daffda79d6366d8d005e0,SCNN: Sequential convolutional neural network for human action recognition in videos,Chinese Academy of Science,"Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China","Beijing, China",39.90419990,116.40739630,edu, +0e424b458f4fe94fc74daffda79d6366d8d005e0,SCNN: Sequential convolutional neural network for human action recognition in videos,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 0e69c4f189db8a5e2a65031035c88bee2fc04221,On Consistent Fusion of Multimodal Biometrics,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 0ece525c9d350910c8cbbf8928de357a310f4f7a,Sparse Canonical Temporal Alignment With Deep Tensor Decomposition for Action Recognition,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +0ead390b8edbda1653834c77d547fd35bd2ee8f5,A novel fingerprint classification method based on deep learning,China,China,China,35.86166000,104.19539700,edu, 0e05b365af662bc6744106a7cdf5e77c9900e967,"Assessment of female facial beauty based on anthropometric, non-permanent and acquisition characteristics",EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, 0e26dfa11e2e56597a20985e3225fcd3c9192dfa,Multi-modality imagery database for plant phenotyping,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +0e151a26edaffc23f8f8224a0d132e2aa50644b0,Fuzzy art neural network model and its application,China,China,China,35.86166000,104.19539700,edu, +0ecca0d93554dea65002ba3ce5924f02a6e6a886,Research on central issues of crowd density estimation,China,China,China,35.86166000,104.19539700,edu, 0e5e7e5e04aee1a7582268d4d28b7aa91490584a,Local directional derivative pattern for rotation invariant texture classification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 0e0d6a582ef1e422cbff5dcd16286d316b0eb972,Word-to-region attention network for visual question answering,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 0e454686f83284ced2ffc5740829552a032671a3,Estimating multimodal attributes for unknown objects,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, -0ecce20af2ec42e39d4294322df48a42a58e42d4,Person Re-Identification With Metric Learning Using Privileged Information,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +0ecce20af2ec42e39d4294322df48a42a58e42d4,Person Re-Identification With Metric Learning Using Privileged Information,UBTech Sydney Artificial Intelligence Institute,UBTech Sydney Artificial Intelligence Institute,"Camperdown NSW 2006, Australia",-33.88858400,151.18734730,edu, 0e57f5098993d15cb04335f9eaeb7203e7ce7b75,Data-Driven Sparse Sensor Placement for Reconstruction: Demonstrating the Benefits of Exploiting Known Patterns,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 0e2d956790d3b8ab18cee8df6c949504ee78ad42,Scalable face image retrieval integrating multi-feature quantization and constrained reference re-ranking,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +0eb668a7542057bdda8296f856a91352dcea28e7,Tools for richer crowd source image annotations,Washington University in St Louis,"Washington University in St Louis, USA","1 Brookings Dr, St. Louis, MO 63130, USA",38.64878950,-90.31079620,edu, 0ef71bc44dda56495447bbdb3017fd808e765645,Visual Focus of Attention Estimation Using Eye Center Localization,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu, 0e02dadab802128f6155e099135d03ca6b72f42c,Learning Balanced and Unbalanced Graphs via Low-Rank Coding,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 0eeafa603bce9587e7fca38cb51c1418401eb277,Normalized channel features for accurate pedestrian detection,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, @@ -1010,21 +1399,27 @@ b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01,Vehicle detection and localization on b 0e790be2a341556d80ee34eb8abec966a2018c5f,Discriminative local binary patterns for human detection in personal album,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 0e7eaa9e5602a20a2786157b8249964ca7e85eee,Empirical analysis of continuous affect,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 0e33bb2ed974c33e3e17a7464705610d85a5e74f,Joint subspace learning for reconstruction of 3D facial dynamic expression from single image,Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu, +0e82489bd928af59b0e05eeea3e1ef952d9cb4db,Score level fusion method based on multiple oblique gradient operators for face recognition,China,China,China,35.86166000,104.19539700,edu, 0e015d0f2cf917c2b8ac4cccc588d67ccbd51c2d,Use of bimodal coherence to resolve spectral indeterminacy in Convolutive BSS,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 0e0a927a7fbcd2061b3b27d3f1ca2fe5d95071c7,On Allocating Cache Resources to Content Providers,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 335435a94f8fa9c128b9f278d929c9d0e45e2510,CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +3340a809c53edefd161f3c27448c7e383c15cdad,3DMAX-Net: A Multi-Scale Spatial Contextual Network for 3D Point Cloud Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 33e0687306fc700b3e34633e1219da0d52dd9fd7,A Distance-Computation-Free Search Scheme for Binary Code Databases,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 33bbf01413910bca26ed287112d32fe88c1cc0df,Region-based feature fusion for facial-expression recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 3369b007683be909b1ff848b73a2787dc13ef0aa,Multi scale block histogram of template feature for pedestrian detection,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, 334f267ed3bfd29febf3739caca3539374de9055,The multifactor extension of Grassmann manifolds for face recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 336488746cc76e7f13b0ec68ccfe4df6d76cdc8f,Adaptive Cascade Regression Model For Robust Face Alignment,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +33e430001ae882bdca340485346d4546295501d4,Learning Visual-Spatial Saliency for Multiple-Shot Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, 33e845e18acbf54ad2e031efe68493d07d7deb61,Can Diversity amongst Learners Improve Online Object Tracking,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu, +335be9250ba4a69a303abc3e202fb7c9c8551f49,"Large scale visual classification with SVM, create the unique article through NLP",University of Moratuwa,"Faculty of Information Technology, University of Moratuwa","Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka",6.79708620,79.90190940,edu, +3303f4c5dfe63ac157ac36e45c46a592cce8a7b9,Estimation of Steering Angle and Collision Avoidance for Automated Driving Using Deep Mixture of Experts,University of British Columbia (Okanagan),"University of British Columbia (Okanagan), Kelowna, BC, Canada","3333 University Way, Kelowna, BC V1V 1V7, Canada",49.94101500,-119.39691400,edu, 33b915476f798ca18ae80183bf40aea4aaf57d1e,Face Illumination Manipulation Using a Single Reference Image by Adaptive Layer Decomposition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 33bd2951b7fca4965d9dbc2c8f97f5b0fdc7af93,Fast initialization for feature-based monocular slam,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu, 331cc0b310251cb180541023c4e2d45ccc2ce08a,3D reconstruction of a smooth articulated trajectory from a monocular image sequence,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 338d88d38795c154caa87460b99fb3d016257054,Weakly Supervised Facial Action Unit Recognition With Domain Knowledge,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, 334a8aa8664637a74217aede4c368058640a8203,Rich feature hierarchies from omni-directional RGB-DI information for pedestrian detection,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 33c31cba98bda51f923caff75022d13bf62a5d60,Towards more reliable matching for person re-identification,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +3365a33cf433ce6f8e6dff6f53f9b1c9cb43ac5b,A novel target detection algorithm combining foreground and background manifold-based models,"SafranTech, Safran, Magny-les-Hameaux, France","SafranTech, Safran, Magny-les-Hameaux, France","Rue des jeunes Bois, 78117 Châteaufort, France",48.74327700,2.08631180,edu, 338f0018a3580fb4444d9af59e14957084d47996,Tensor kernel supervised dictionary learning for face recognition,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 330dc3d87dc80dfc9fd5292cbe3c644d24c000fe,GraphNet: Learning Image Pseudo Annotations for Weakly-Supervised Semantic Segmentation,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 33b61be191e63b0c9974be708180275c9d5b3057,Cross-dataset facial expression recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, @@ -1032,11 +1427,15 @@ b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01,Vehicle detection and localization on b 336cc68bc266fb4172eb7367ce1ad7b69fcbb763,Multi-view gender classification using symmetry of facial images,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 3337cfc3de2c16dee6f7cbeda5f263409a9ad81e,Age prediction on face features via multiple classifiers,"University Sultan Zainal Abidin, Malaysia","Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia","22020 Kampung Raja, Terengganu, Malaysia",5.76488480,102.62817020,edu, 3333f2f667c4fa7310a7afbe9bd012bc818e5660,A fast Cascade Shape Regression Method based on CNN-based Initialization,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +3318ea550981a714d2c84522aee411460004347a,Recognizing interactions between human performers by ‘Dominating Pose Doublet’,India,India,India,20.59368400,78.96288000,edu, +3316312af29a7c2c22c9653e63d51564e264b6ee,Fingerphoto spoofing in mobile devices: A preliminary study,India,India,India,20.59368400,78.96288000,edu, 0b37ff3bb5e73bc4fd70877b2a39b27debdb83e2,Poster abstract: MicroBrain: Compressing deep neural networks for energy-efficient visual inference service,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +0b2aa5c1a2d1a5bb6c545874f93a3d3c085395d6,Contextual Enrichment of Remote-Sensed Events with Social Media Streams,"German Research Center for Artificial Intelligence, Kaiserslautern, Germany","German Research Center for Artificial Intelligence, Kaiserslautern, Germany","Trippstadter Str. 122, 67663 Kaiserslautern, Germany",49.42951810,7.75138910,edu, 0be015e2f9a1d2acebc3afb6e0f6948dd2f9d23d,Using unlabeled data to improve classification of emotional states in human computer interaction,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu, 0b7d052036b92f8c8cd4ed4717ee3b528b1e3c99,A spatiotemporal descriptor based on radial distances and 3D joint tracking for action classification,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 0b92f5734ffd7d9ff1dd0f3639e92ed18fda7824,Relevance Estimation with Multiple Information Sources on Search Engine Result Pages,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 0be418e63d111e3b94813875f75909e4dc27d13a,Fine-grained LFW database,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +0b0c2d9db83b4f002f23f4a20cfc5a3d10295372,Semantic knowledge based on fuzzy system for describing facial expression,China,China,China,35.86166000,104.19539700,edu, 0b45aeb0aede5e0c19b508ede802bdfec668aefd,Learning facial attributes by crowdsourcing in social media,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 0b2cd813a6e4eede24a8e603f361fddf82e67757,How Well Can We Measure Visual Attention? Psychometric Properties of Manual Response Times and First Fixation Latencies in a Visual Search Paradigm,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, 0b3786a3a0ea7ec08f01636124c183dbee8f625f,Learning Image Similarity from Flickr Groups Using Fast Kernel Machines,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -1050,17 +1449,27 @@ b1ecc077d3bbab92bfba0e49b0fb90cbdd015b01,Vehicle detection and localization on b 0b198c9aececb8f4172ace5c25d468141c5df6bf,Person Re-Identification with Hybrid Loss and Hard Triplets Mining,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 0b7f5d25cd1142b5761194f1ebeeba6780aaabb2,Estimation of the people position in the world coordinate system for video surveillance,Moscow State University,Moscow State University,"ul. Leninskiye Gory, 1, Moskva, Russia, 119991",55.70393490,37.52866960,edu, 0b1c1c32b7ab78106590bf76fd4261aa6ce25599,Transfer Boosting With Synthetic Instances for Class Imbalanced Object Recognition,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, +0b1de7ead4c3e75a2f164855fa5a9a5f7ba1c951,SVO-PL: Stereo Visual Odometry with Fusion of Points and Line Segments,China,China,China,35.86166000,104.19539700,edu, 0b7667c2cf78a96c0acd5194fbf46d5c288bda58,Human Perception of Visual Realism for Photo and Computer-Generated Face Images,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 0b8839945259ec764ef0fad47471f34db39f40c3,SVM point-based real-time emotion detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +0b0c4641ed1b6d18a1f0789485484d97c1c8cccd,Re-ranking pedestrian re-identification with multiple Metrics,China,China,China,35.86166000,104.19539700,edu, +430147c2032add4793d3444ef77020cd2420773a,Traffic Sensory Data Classification by Quantifying Scenario Complexity,China,China,China,35.86166000,104.19539700,edu, +436f798d1a4e54e5947c1e7d7375c31b2bdb4064,Monocular 3D pose estimation and tracking by detection,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 43bce3ce3c2edf327a1dbcb2ee34b743b8ea2fa1,Fusion of depth and color for an improved active shape model,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 43cc5ade2a9a30baf3b7aaefa9efc98a76e0de9a,Face recognition by projection-based 3D normalization and shading subspace orthogonalization,Toshiba,"Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan","Japan, 〒212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, 小向東芝町1",35.54931130,139.69201440,company, 4354a944535df5e62a2691e2f5c0567c2fc3f322,Novel directional patterns and a Generalized Supervised Dimension Reduction System (GSDRS) for facial emotion recognition,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +43f413567f533497242028bdbc369ab0e7f6577e,3D partial face matching using local shape descriptors,"Università degli Studi di Firenze, Firenze, Italy","Università degli Studi di Firenze, Firenze, Italy","Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 43ab8edb5987b64eea3d0b49a3474d8627040aae,Comparative evaluation of wavelet-based super-resolution from video for face recognition at a distance,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 43325f1459ddb03317adc2a2f83b44403028eafc,Joint patch and multi-label learning for facial action unit detection,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, -43cbe3522f356fbf07b1ff0def73756391dc3454,Laplacian of smoothed image as representation for face recognition,"IIIT Hyderabad, India","IIIT Hyderabad, 500032, A.P, India","IIIT, Gachibowli, Hyderabad, Telangana 500032, India",17.44479180,78.34830980,edu, +43cbe3522f356fbf07b1ff0def73756391dc3454,Laplacian of smoothed image as representation for face recognition,"IIIT Hyderabad, India","IIIT Hyderabad, India","DLF Building, Professor CR Rao Rd, Gachibowli, Hyderabad, Telangana 500032, India",17.44523580,78.34927650,edu, 43a4dd79bb26e3b722ac8bea20f5916c30599851,Recognizing facial expressions based on Gabor filter selection,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu, +4317856a1458baa427dc00e8ea505d2fc5f118ab,Regularizing face verification nets for pain intensity regression,China,China,China,35.86166000,104.19539700,edu, +432585e8fa1893a03fbc4f1a9ab7e35c6275f073,Enhanced Visual Loop Closing for Laser-Based SLAM,"Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China","Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, 4349f17ec319ac8b25c14c2ec8c35f374b958066,Dynamic Texture Comparison Using Derivative Sparse Representation: Application to Video-Based Face Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +4344ba6e33faaa616d01248368e66799548ca48b,Unsupervised joint face alignment with gradient correlation coefficient,"Gipsa-Lab, Saint Martin d’Heres, France","Gipsa-Lab, Saint Martin d’Heres, France","11 Rue des Mathématiques, 38400 Saint-Martin-d'Hères, France",45.19344150,5.76631150,edu, +43b4db7bd73ff0a7a48298808c2976662b82f370,Motorbike theft detection based on object detection and human activity recognition,University of Information Technology,"Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam","Khu phố 6 P, Vietnam",10.87030000,106.80345130,edu, 43fce0c6b11eb50f597aa573611ac6dc47e088d3,IoT and Computer Vision Based Driver Safety Monitoring System with Risk Prediction,Chittagong University of Engineering and Technology,Chittagong University of Engineering and Technology,"Shaheed Tareq Huda Hall, Goal Chattar, চট্টগ্রাম, চট্টগ্রাম জেলা, চট্টগ্রাম বিভাগ, 4349, বাংলাদেশ",22.46221665,91.96942263,edu, +43fe65803439c1953f8baef7ca0654677182defd,An improved low-resolution face tracker system using gradient logarithm field feature space and bi-cubic interpolation,India,India,India,20.59368400,78.96288000,edu, 433d2d5528d1401a402f2c1db40b933c494f11ba,Face Recognition Based on Discriminant Evaluation in the Whole Space,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 43edcd7968be3abd25f8ec44ab6d6182b7277afd,Spatial Quality Aware Network for Video-Based Person Re-identification,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 43fe03ec1acb6ea9d05d2b22eeddb2631bd30437,Weakly supervised multiscale-inception learning for web-scale face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -1071,85 +1480,132 @@ cb992fe67f0d4025e876161bfd2dda467eaec741,Random forest-based feature selection f cb8f0d0e529e27c67f04e748266f084c07679755,Scene Image Synthesis from Natural Sentences Using Hierarchical Syntactic Analysis,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, cb0ba5b3e5c64010a03840ac1fbae12e4959d4a5,Fast resolution aware model fitting for noisy low resoluton image,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, cb8a1b8d87a3fef15635eb4a32173f9c6f966055,"A Survey on Deep Learning: Algorithms, Techniques, and Applications",Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu, +cb45511e4089fb8aff17b0adb6a3f386046a0a6e,Using Convolutional Neural Networks for Content Extraction from Online Flyers,"Università degli Studi dell'Insubria, Varese, Italy","Università degli Studi dell'Insubria, Varese, Italy","Via Ravasi, 2, 21100 Varese VA, Italy",45.81454800,8.82766500,edu, cb522961fae4cfeedcce8d0e3cf4cdfc8fe2b701,Real-Time Human Movement Retrieval and Assessment With Kinect Sensor,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, +cb8382f43ce073322eba82809f02d3084dad7969,Facial Expression Recognition using 2D Stationary Wavelet Transform and Gray-Level Co-occurrence MatrixP@13-17,India,India,India,20.59368400,78.96288000,edu, cbaa17be8c22e219a9c656559e028867dfb2c2ed,Which face is more attractive?,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, cb8c067aeabacd0eb723c5bb23eb41d8d219c57d,Improving image luminance appearance through recurrent local intensity adaptation,Feng Chia University,Feng Chia University,"逢甲大學, 100, 文華路, 西平里, 西屯區, 臺中市, 40724, 臺灣",24.18005755,120.64836072,edu, cbfcd1ec8aa30e31faf205c73d350d447704afee,Angle 2DPCA: A New Formulation for 2DPCA,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, cbd4713a000be4c0b47cf15036420b2d32b8d64b,Expression-robust 3D face recognition based on feature-level fusion and feature-region fusion,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +cbf5b3469c7216c37733efca6c2cdb94357b14a7,Person Re-identification Based on Feature Fusion and Triplet Loss Function,China,China,China,35.86166000,104.19539700,edu, +cbba7d753caf82fd5325a1b380146fcfe0c72e32,Deep Learning Based Real-Time Driver Emotion Monitoring,India,India,India,20.59368400,78.96288000,edu, +cb8ad4f9a50ccd46802289fc9199f5016b15fdc3,Automatic facial landmark detection in a video sequences of non-manual sign languages,India,India,India,20.59368400,78.96288000,edu, +cb6b9cc908a2862a17a1b4560ead1a49989275bc,Domain Adaptation for Face Recognition: Targetize Source Domain Bridged by Common Subspace,China,China,China,35.86166000,104.19539700,edu, cb9921d5fc4ffa50be537332e111f03d74622442,Face Occlusion Detection Using Cascaded Convolutional Neural Network,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu, +cbd0f4006df1b2661f2c3a711d95727d61756afe,Multimodal Classification of Moderated Online Pro-Eating Disorder Content,"Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands","Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands","Science Park 123, 1098 XG Amsterdam, Netherlands",52.35667800,4.95187000,edu, +cb9dbaf955cfb90a89a7b608b7390fa444a2c3a2,Knowledge Transfer between Computer Vision and Text Mining,Romania,Romania,Romania,45.94316100,24.96676000,edu, cb0047121fdb983e8189dd69006ddce89fe3bc3a,MSRC: multimodal spatial regression with semantic context for phrase grounding,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, cb2b91bfb8cc57748781869ae8395b640829e665,Robust Symbolic Dual-View Facial Expression Recognition With Skin Wrinkles: Local Versus Global Approach,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +cb30b67a913f0ef4094687a85e7fb09807a763eb,A visual attention based convolutional neural network for image classification,China,China,China,35.86166000,104.19539700,edu, cb457bcb26c1ef9932b0606722f8e073f3e7f494,Face recognition using adaptive local directional pattern,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, f9b2d4a38d647f2819951f8876ec5d067696e5bc,Twins facial similarity impact on conventional face recognition systems,Semnan University,Semnan University,"دانشگاه سمنان, بزرگراه امام رضا, شهرک مسکن مهر مصلی, ناسار, سمنان, بخش مرکزی, شهرستان سمنان, استان سمنان, ‏ایران‎",35.60374440,53.43445877,edu, f9f3160404c328364adb1bcd1d61f3796d869bb5,Frontal Face Generation from Multiple Pose-Variant Faces with CGAN in Real-World Surveillance Scene,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, f96dd74d4dc828cedea8b82503effc7a012a79fb,Pedestrian Dynamic and Kinematic Information Obtained from Vision Sensors,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, f929915cefe8f581e3425c9d94639e25771e759d,Constructing dynamic category hierarchies for novel visual category discovery,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, f9fb7979af4233c2dd14813da94ec7c38ce9232a,Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +f9592652d962f470d539d42e21989e71df943041,THU-intel at rushes summarization of TRECVID 2008,China,China,China,35.86166000,104.19539700,edu, f918983c4dceb6b655bb7b68b3506c85f377cc8b,Spatiotemporal compressed sensing for video compression,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, f988aa059bc3589f3cbddd0b87cea2588f623cc8,On Applicability of Tunable Filter Bank Based Feature for Ear Biometrics: A Study from Constrained to Unconstrained,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, f926020afaf2fcaf15fd6423dc3d76f88551701c,AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, f902592858a68efb8f8ff333d0ff6864ce81832a,Visual Object Recognition in Diverse Scenes with Multiple Instance Learning,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, +f91e069b2e67801f54ec05a1265fc707a65feb37,Symbolic road marking recognition using convolutional neural networks,"Nissan Research Center, Silicon Valley, USA","Nissan Research Center, Silicon Valley, USA","1215 Bordeaux Dr, Sunnyvale, CA 94089, USA",37.41036640,-122.02344020,company, +f9f34a0558a58720e1aa55421ff7583f049208a4,A hierarchical feature model for multi-target tracking,Hainan University,"Hainan University, China","China, 第一食堂2楼",20.06199000,110.32874000,edu, +f95004e9a61777a0c4fe6014acb9bc5d63024af0,Static human behavior classification based on LLC features and GIST features,China,China,China,35.86166000,104.19539700,edu, +f98fdd7f7d95a56af8c8c11298af99c9a6142576,ES-RU: an entropy based rule to select representative templates in face surveillance,University of Salerno,"Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy","Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy",40.76871180,14.79201790,edu, f99a2beca1e85015af62f728b70dc48be93a3c29,Cross-Modal Learning to Rank with Adaptive Listwise Constraint,South China Normal University,South China Normal University,"华师, 五山路, 华南理工大学南新村, 天河区, 广州市, 广东省, 510630, 中国",23.14319700,113.34009651,edu, +f9d84a4a559b303a672f113abdd7d333ed94ab21,Rescaling of low frequency DCT coefficients with Kernel PCA for illumination invariant face recognition,India,India,India,20.59368400,78.96288000,edu, f92d3abfb16e491a52b2d89549396d023562285a,An Ensemble of VGG Networks for Video-Based Facial Expression Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, f9378db092580854602e37d2285d0be10671eb3b,A robust sparse representation based face recognition system for smartphones,Ferdowsi University of Mashhad,Ferdowsi University of Mashhad,"دانشگاه فردوسی مشهد, بولوار دانش, رضاشهر, منطقه ۹, مشهد, شهرستان مشهد, استان خراسان رضوی, 9177146164, ‏ایران‎",36.30766160,59.52690511,edu, f95321f4348cfacc52084aae2a19127d74426047,A novel facial feature extraction method based on Empirical Mode Decomposition,South China Normal University,South China Normal University,"华师, 五山路, 华南理工大学南新村, 天河区, 广州市, 广东省, 510630, 中国",23.14319700,113.34009651,edu, f96dad96192fd1c81e35fc3bf7bdb75a6f6f96d0,Estimation of behavioral user state based on eye gaze and head pose—application in an e-learning environment,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, +f9f72562b135a4c04974c9423dba6b5c6192541f,A Deep Spatiotemporal Perspective for Understanding Crowd Behavior,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, +f9824a85f30c687f7b3a3fbf25f842d3d87e77ea,Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning,Xian Jiaotong University,"Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China","28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China",34.25080300,108.98369300,edu, f9664fe3167ff72f6b91aa84882e23bf50907d43,Viewer authentication for personalized iTV services,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, f9fafd8ea1190ffbc2757eed0f0a8bbff610c43e,Robust detection of non-motorized road users using deep learning on optical and LIDAR data,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, f9a9c8b36ccf107e65cc1d8da41d572e43da0b82,Efficient greedy feature selection for unsupervised learning,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, f986968735459e789890f24b6b277b0920a9725d,Places: A 10 Million Image Database for Scene Recognition,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu, f925879459848a3eeb0035fe206c4645e3f20d42,Automated Detection of Facial Expressions during Computer-Assisted Instruction in Individuals on the Autism Spectrum,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +f9e9e352862938ce6374381fa4a233ad01ddd3bb,Crowd motion analysis for group detection,"Indian Institute of Technology Bombay, Mumbai, India","Indian Institute of Technology Bombay, Mumbai, India","Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India",19.13343020,72.91326790,edu, +872e93c59ff55ccf402337f066bd04d37ebb1edd,Markerless motion capture of interacting characters using multi-view image segmentation,"BIWI, ETH Zurich","BIWI, ETH Zurich","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu, 870820d4c830f299c7db17ded13e7b6410fe3b54,Cross-pose facial expression recognition,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 8735b8a6920c120cb29c9f206686f502d256ee57,Using local features based face experts in multimodal biometrics identification systems,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, +87cfd0aa3baa43efdf40fe36452516b89c05bb5e,New feature selection for neighbor embedding based super-resolution,China,China,China,35.86166000,104.19539700,edu, +875c0171f83296b929b64c2f82f626250f6004ce,Large margin classifiers based on convex class models,"Laboratoire Jean Kuntzmann, B.P. 53, 38041 Grenoble Cedex 9, France","Laboratoire Jean Kuntzmann, B.P. 53, 38041 Grenoble Cedex 9, France","Laboratoire Jean Kuntzmann, 38610 Gières, France",45.19348940,5.77153180,edu, 87610276ccbc12d0912b23fd493019f06256f94e,Unsupervised feature selection for proportional data clustering via expectation propagation,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 87d9bef42fcb887442223e52f751959c681615d3,Probabilistic Facial Trait Code for face recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 87c7df30fe0cd89a37487e09bb82041e1a2c884e,Photo-to-Sketch Transformation in a Complex Background,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +877d0d47700b82da0563161f57cfe2dcc2be0fbb,Improving classifiers with unlabeled weakly-related videos,Sony Computer Entertainment,"Oxford Brookes University and Sony Computer Entertainment, London, UK","Headington Rd, Oxford OX3 0BP, UK",51.75501100,-1.22422500,company, +87a837ebe3b4770165dacf0738602b42902cb7a5,Region Based 3D Face Recognition,India,India,India,20.59368400,78.96288000,edu, 872d4a892b17f642072da657195a7aad3fcee965,Adaptive dynamic model particle filter for visual object tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 8747cc07e564e567ed0e8de038a222782206d986,Investigating the role of implicit prototypes in the prototype willingness model,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 87555d5d5ad64071efd492c0c8faa7f66f020b0b,Face spoofing detection through partial least squares and low-level descriptors,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, 87842004ea0933f5ba113cc9d78de6b33d444f59,An innovative face image enhancement based on principle component analysis,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, 876583a059154def7a4bc503b21542f80859affd,On the analysis of factors influencing the performance of facial age progression,Cyprus University of Technology,Cyprus University of Technology,"Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - Λεμεσός, Limassol - Λεμεσός, Κύπρος - Kıbrıs, 3036, Κύπρος - Kıbrıs",34.67567405,33.04577648,edu, 870debd8a8a69c948b8fab4237234ecd6573e897,Traffic At-a-Glance: Time-Bounded Analytics on Large Visual Traffic Data,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, +8770d091d91626e80c7fdacdea6bbd464986fb13,Face recognition using entropy-augmented face isolation and image folding as pre-processing techniques,India,India,India,20.59368400,78.96288000,edu, 87779d07a76b1070a1c144ea680bd7c24e4acffa,Shadow removal for pedestrian detection and tracking in indoor environments,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +8746db1ddf564856f01555380903499553c03a4a,Half-Face Dictionary Integration for Representation-Based Classification,"LEAR Group, INRIA Grenoble Rhône-Alpes, Montbonnot, France","LEAR Group, INRIA Grenoble Rhône-Alpes, Montbonnot, France","655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France",45.21788600,5.80736900,edu, +8773d5dcc15ad7f3de8a3deb1fcd2b5e522bf869,Geolocation based image annotation,"IRIT-ENSEEIHT, FRANCE","IRIT-ENSEEIHT, FRANCE","2 Rue Charles Camichel, 31000 Toulouse, France",43.60203840,1.45440870,edu, 875f0e2b2a35bbc4f5e45baa52ef078f889b9504,Local Feature Hashing for face recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +871e5c0f69fab2bf331420a038f2beb0e000276d,Image preprocessing method based on local approximation gradient with application to face recognition,China,China,China,35.86166000,104.19539700,edu, +8741a327f06b2969dc5e1e7a89b577f2d8c262fa,SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks,"Sullivan Nicolaides Pathology, Australia","Sullivan Nicolaides Pathology, Australia","24 Hurworth St, Bowen Hills QLD 4006, Australia",-27.44925600,153.03674210,edu, 87f738d3883fc56ef0841484478b89c0f241df02,3D Shape Extraction of Human Face in Presence of Facial Hair: A Profilometric Approach,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 87665dd7863ebb3738718758926a43cbe9fee20e,Representative feature chain for single gallery image face recognition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 870f68355f9d3ec83c162d0df200077b93028e8e,Learning adaptive local distance metric for face hallucination,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 87552622efd0e85c2a71d4d2590e53d45f021dbf,Smile detection in the wild with hierarchical visual feature,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 873b28aa7cb9e4a923e46338be472d910aa87a3e,A two-level model for automatic image annotation,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +87ee56feefdb39938cda7f872e784d9d986713af,Fusion of face recognition and facial expression detection for authentication: a proposed model,"Universiti Kuala Lumpur, Kedah","Universiti Kuala Lumpur, Kedah","Kulim Hi-tech Park, 09000 Kulim, Kedah, Malaysia",5.38473930,100.57430760,edu, 265ffb2d850ce9ed4cfb2646b253611d07d0b19f,Co-training on multi-view unlabelled data,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu, +266ee26a6115f1521ce374e4ab106d997c7b1407,Spectaculars face classification by using locality preserving projections,India,India,India,20.59368400,78.96288000,edu, 2603a85b305d041bf749934fe538315ecbc300c2,Non Maximal Suppression in Cascaded Ranking Models,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 26ffbd8414db0d21cbf194dd9b0f6f9400e8c0fa,Customer pose estimation using orientational spatio-temporal network from surveillance camera,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 267417efe1bf98ae904ad3970cb5742ec705082a,Human pose estimation based on constraint pictorial structure model,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 266ef6c6f1679d7666621fc1589dd18f9029f143,Convolutional deep learning for 3D object retrieval,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, +26db78cc0cac058ea6e46101ad2e7e91f510cd2e,Rotation and scale invariant target detection in optical remote sensing images based on pose-consistency voting,"Beijing Institute of Remote Sensing Information, Beijing, China","Beijing Institute of Remote Sensing Information, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, +266cb58a82ce44ce8f0cffbfa89e44227096f424,Assessment for facial nerve paralysis based on facial asymmetry,China,China,China,35.86166000,104.19539700,edu, 26f4be90c444104ecd01f9727a7ac546ce63d13b,Automatic gait recognition using width vector mean,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 268c4bb54902433bf00d11391178a162e5d674c9,Learning spatial weighting via quadratic programming for facial expression analysis,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 26f25c552f0d82d2d774e66e57d337bebd197d24,Efficient hardware acceleration of CNNs using logarithmic data representation with arbitrary log-base,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 26cf0735be5ae85e58542d81c66b36390c8b6dce,Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 26949c1ba7f55f0c389000aa234238bf01a32d3b,Coupled cascade regression for simultaneous facial landmark detection and head pose estimation,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, 264ad2a00b65af52acf500cc6432828843530df7,Rethinking random Hough Forests for video database indexing and pattern search,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +263da1c074ad3527edf82bba0222f74c6f173973,"Eyeglasses detection, location and frame discriminant based on edge information projection",China,China,China,35.86166000,104.19539700,edu, 261a80216dda39b127d2b7497c068ec7e0fdf183,A Framework for Making Face Detection Benchmark Databases,Vols Taipei,Vols Taipei,"Taipei, Taiwan",25.03296940,121.56541770,edu, 2601b679fdd637f3cd978753ae2f15e8759dd267,Joint classification of actions with matrix completion,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, +26d04923efccaec3a2c4435ab760c84a46f458cc,Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features,Finland,Finland,Finland,61.92411000,25.74815110,edu, 2693b02dbd7cada420fb913a36b9a826ec2bba5f,ALERT: Adding a Secure Layer in Decision Support for Advanced Driver Assistance System (ADAS),University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, +26a03fe498b2c065087d17b1af930d69a89a0a8f,Hand posture recognition in video using multiple cues,China,China,China,35.86166000,104.19539700,edu, 26bfabc72c937fd4feddf585b4989407dea90c59,Learning behavior patterns from video for agent-based crowd modeling and simulation,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 26ff4aaee89d0f87367ddfb466d8f8d308c22fed,Computer Vision - ACCV 2014 Workshops,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, 26e39719a8dd2a554a825dba86fb244dcaaac4aa,Person re-identification via rich color-gradient feature,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 26b1d6846f009bdb3671045321932b61f6c45694,Face Recognition Using A Low Rank Representation Based Projections Method,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 269e098a1297ddb1e3fcd85524dc8272ef2295e9,Real-time identification of pedestrian meeting and split events from surveillance videos using motion similarity and its applications,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +267b78d000fbac96f8187f6baa5ec9d9cdc23536,A Deep Learning Approach for Next Location Prediction,China,China,China,35.86166000,104.19539700,edu, +262cdbc57ecf5c18756046c0d8b9aa7eb10e3b19,Local Similarity based Linear Graph Embedding: A Robust Face Recognition Framework for SSPP problem,PLA University of Science and Technology,"PLA University of Science and Technology, Qinhuai District Nanjing, China","China, Jiangsu, Nanjing, Xuanwu, 中山门外大街",32.03522500,118.85531700,edu, 26e118084d09771bfb996628a7569200100bff1a,Predicting Occupation from Images by Combining Face and Body Context Information,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu, +26e4d80c4ef601b739904c5acc1a682dbc049af0,"Energy efficient face recognition using row, column feature vectors of Slant Transform and performance comparison with PCA",India,India,India,20.59368400,78.96288000,edu, +264a344e4d65cbc14d52f0c875f4534217c37bdd,Patch-based scale calculation for visual tracking,PLA University of Science and Technology (PLAUST),"College of Command Information Systems, PLA University of Science and Technology (PLAUST), Nanjing, China","China, 双龙街60号",31.97090700,118.81289890,edu, 26ec75b8ad066b36f814379a79ad57089c82c079,Learning from ambiguously labeled images,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +1ac4e83971cb2d0114eb3101651239c27d1b5b2b,Squirrel-Cage Local Binary Pattern and Its Application in Video Anomaly Detection,China,China,China,35.86166000,104.19539700,edu, 1a4bc1821e32acc3a2a8dbd9774b8d201e9f11b9,Understanding and predicting importance in images,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +1a03dcc811131b0b702bd5a75c54ed26cd27151a,Automated facial expression recognition based on histograms of oriented gradient feature vector differences,University of Maribor,"Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia","Koroška cesta 46, 2000 Maribor, Slovenia",46.55903550,15.63807350,edu, 1a9a7913db0f726996d28e15ca6de59d36e54c4f,New real-time methods for operator situational awareness retrieval and higher process safety in the control room,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 1a8341f9e85a4ca2c8f349d050176c505f204b72,Learning Consensus Representation for Weak Style Classification,University of Massachusetts Dartmouth,University of Massachusetts Dartmouth,"University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA",41.62772475,-71.00724501,edu, +1abafbb83a617c1a63eeba8796fb49b6778db93d,Online discriminant projective non-negative matrix factorization,Harbin Institute of Technology (Shenzhen),Harbin Institute of Technology (Shenzhen),"China, Guangdong, Shenzhen, Nanshan, 平山一路",22.58675200,113.96878000,edu, 1aeef2ab062c27e0dbba481047e818d4c471ca57,Analyzing impact of image scaling algorithms on viola-jones face detection framework,"Central Electronics Research Institute, Pilani, India","Advanced Electronics System, Academy of Scientific and Industrial Research, CSIR-Central Electronics Research Institute, Pilani, India","Central Electronics Engineering Research Institute, Pilani, Rajasthan 333031, India",28.36561930,75.58349530,edu, +1aeb7bffb66e278b4b859538a70790bbe2fc9cdc,Facial Expression Recognition with LDPP & LTP using Deep Belief Network,India,India,India,20.59368400,78.96288000,edu, 1ae642a8d756c6aa7bc049c5c89d5072d8749637,Multi-Modal Image Retrieval for Complex Queries using Small Codes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 1a81c722727299e45af289d905d7dcf157174248,BabyTalk: Understanding and Generating Simple Image Descriptions,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, +1a7db5776181155f90bba4df97cf3206ce0271a9,A novel face representation toward pose invariant face recognition,China,China,China,35.86166000,104.19539700,edu, 1ad780e02edf155c09ea84251289a054b671b98a,Facial expression recognition via Gabor wavelet and structured sparse representation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 1ae21cb7981e7b4da08a83b1faefe38d817fbb18,Face Recognition from Face Motion Manifolds using Robust Kernel Resistor-Average Distance,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +1ad8b5ff526b8d6103051ed792d9ee8ca3c8be54,Object detection based on Multi-viewpoint histogram,China,China,China,35.86166000,104.19539700,edu, +1ac4951dac6f7e19148a7d66ec26d1c3f4ccb0c1,A Deep Convolutional Network Based Supervised Coarse-to-Fine Algorithm for Optical Flow Measurement,China,China,China,35.86166000,104.19539700,edu, 1a1c7ba2ee61c9eba57a21208fd028144dda2ce9,Double Low Rank Matrix Recovery for Saliency Fusion,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 1a53ca294bbe5923c46a339955e8207907e9c8c6,What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, 1ac4c3ede7e6a630c7dcbf204a14a2215ce9f1cc,Deeper cascaded peak-piloted network for weak expression recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 1ab4fdcd431286a2fe9538cb9a9e3c67016fa98a,UGC-JU face database and its benchmarking using linear regression classifier,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +1a6b88105b2e5c5f92bcded1acb0769818858838,Clothes search in consumer photos via color matching and attribute learning,"Hewlett-Packard Laboratories, Palo Alto, CA, USA","Hewlett-Packard Laboratories, Palo Alto, CA, USA","3000 Hanover St, Palo Alto, CA 94304, USA",37.41587160,-122.14658550,company, 1a873f5df77115471cfca5ef83e30a7a470ce0b9,Direction matters: Depth estimation with a surface normal classifier,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 1a8d40bcfb087591cc221086440d9891749d47b8,Directional ternary pattern ( DTP) for facial expression recognition,"Islamic University of Technology, Bangladesh","Islamic University of Technology, Bangladesh","Board Bazar, Dhaka- Mymensingh Highway, Gazipur 1704, Bangladesh",23.94726100,90.37993250,edu, 1a40c2a2d17c52c8b9d20648647d0886e30a60fa,Hybrid hypergraph construction for facial expression recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -1157,26 +1613,39 @@ f925879459848a3eeb0035fe206c4645e3f20d42,Automated Detection of Facial Expressio 1aa61dd85d3a5a2fe819cba21192ec4471c08628,Deep learning based forensic face verification in videos,"Institute of Forensic Science, Ministry of Justice, Shanghai, China","Institute of Forensic Science, Ministry of Justice, Shanghai 200063, China","1347 Guangfu W Rd, Putuo Qu, Shanghai Shi, China, 200063",31.22665700,121.41905100,gov, 1a1a60fd4dc88a14c016b95789385801c6b80574,Sparse representation or collaborative representation: Which helps face recognition?,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 1afef6b389bd727c566cd6fbcd99adefe4c0cf32,Towards resolution invariant face recognition in uncontrolled scenarios,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +1a6abbe2e052c07ae2524ffdf91a8b340cdb2718,Concatenating multiple trajectories using Kalman filter for pedestrian tracking,"Instituto de Tecnologia - UADE, Buenos Aires, Argentina","Instituto de Tecnologia - UADE, Buenos Aires, Argentina","Lima 775, C1073 AAO, Buenos Aires, Argentina",-34.61709410,-58.38204780,edu, +1a862270ad9168e3bf5471bda2793c32d4043aa4,An illumination angle classification method in the face recognition based on the similarity of light estimated images,China Three Gorges University,"College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei, 443002, China","8 Daxue Rd, Xiling Qu, Yichang Shi, Hubei Sheng, China, 443003",30.72048200,111.31812700,edu, +1ab19e516b318ed6ab64822efe9b2328836107a4,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 1ac4faa0b772d6b608bc7cd3a5a6b530518e2c29,A face authentication system using the trace transform,Mahanakorn University of Technology,Mahanakorn University of Technology,"มหาวิทยาลัยเทคโนโลยีมหานคร, 140, ถนนเชื่อมสัมพันธ์, กรุงเทพมหานคร, เขตหนองจอก, กรุงเทพมหานคร, 10530, ประเทศไทย",13.84450465,100.85620818,edu, +1ad4981e51cb55e1ff3ffeedabc7e6ac22e77343,Marginal patch alignment for dimensionality reduction,China,China,China,35.86166000,104.19539700,edu, 1aeea66eae8fc452631132785edd1a607ee021cb,Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +dbb1871efda531c5340a49e147173c374d069ad1,Deep learning based FACS Action Unit occurrence and intensity estimation,"Vicarious Perception Technologies, Amsterdam, The Netherlands","Vicarious Perception Technologies, Amsterdam, The Netherlands","Singel 160, 1015 AH Amsterdam, Netherlands",52.37509500,4.88952400,edu, db557f519ab9c7a002d5b1e84b9b3c4ab614c952,Dynamic hand gesture recognition from Bag-of-Features and local part model,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, dbd566003baf517c2682be50bf50cc2b046ab511,A synthetic research on the multimedia data encryption based mobile computing security enhancement model and multi-channel mobile human computer interaction framework,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, db150d158ca696c7fb4f39b707f71d609481a250,Experimental Investigation of Facial Expressions Associated With Visual Discomfort: Feasibility Study Toward an Objective Measurement of Visual Discomfort Based on Facial Expression,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, db989600b1857cea9abd14dba9c10808030c7d33,Delving Deep into Personal Photo and Video Search,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +db412dcee9aba0615d7972fdee55655061ed0178,Crowd Violence Detection Using Global Motion-Compensated Lagrangian Features and Scale-Sensitive Video-Level Representation,"Zuse Institute Berlin, Berlin, Germany","Zuse Institute Berlin, Berlin, Germany","Takustraße 7, 14195 Berlin, Germany",52.45610090,13.29817760,edu, dbb9601a1d2febcce4c07dd2b819243d81abb2c2,Landmark Free Face Attribute Prediction,"SAP Innovation Center Network, Singapore","SAP Innovation Center Network, Singapore","30 Pasir Panjang Rd, Singapore 117440",1.27486000,103.79778700,company,"30 Pasir Panjang Road, Singapore" db9ef28cc3531a27c273d769e1b1d6b8aeff2db4,Linguistic descriptors in face recognition: A literature survey and the perspectives of future development,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, +dbf6a25d10a312b38b862fd88f6cec9ed71400dc,Improved YOLOv2 Object Detection Model,China,China,China,35.86166000,104.19539700,edu, db157b6a9733fc50086bd8bd197c7d995f5d13ce,Breadth-first-based decision algorithm for facial biometrics,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +dbf86aca1b92ffda84110864a7ce9fcfde9f5f52,A compact discriminative representation for efficient image-set classification with application to biometric recognition,Computer Science & Software Engineering The University of Western Australia 35 Stirling Highway,"Computer Science & Software Engineering The University of Western Australia 35 Stirling Highway, Crawley, WA, Australia","35 Stirling Hwy, Crawley WA 6009, Australia",-31.97764610,115.81622180,edu, +dba7817a9bd4893058e83c29581cb77a12f122a9,Post-aggregation stereo matching method using Dempster-Shafer theory,"Laboratoire d'Informatique de Traitement de l'information et des Systemes(LITIS) Avenue de l'Universite-BP08, 76801, Saint-Etienne du Rouvray, France","Laboratoire d'Informatique de Traitement de l'information et des Systemes(LITIS) Avenue de l'Universite-BP08, 76801, Saint-Etienne du Rouvray, France","685 Avenue de l'Université, 76800 Saint-Étienne-du-Rouvray, France",49.38746400,1.06878500,edu, dba7757ea7a390ec0509834a5f457c6f28ae6b76,A general line tracking algorithm based on computer vision,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, db61315c36e2460e95fe13680162d0ed40c83fca,Image Classification via Object-Aware Holistic Superpixel Selection,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, dbc077fd5412d11b33e18cbc2c5d8b92f6691c8e,Semantic Binary Codes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, db76e57cf0b58416a85a2169b19ab441ed82bd28,Visual Multiple Target Tracking From a Descending Aerial Platform,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +db6cc1ccbc517f86d39e446792ce7d84b935d899,3D face recognition using the Surface Interpenetration Measure: A comparative evaluation on the FRGC database,"IMAGO Research Group - Universidade Federal do Paraná, P.O. Box 19092, 81531-980, Curitiba - PR, Brasil","IMAGO Research Group - Universidade Federal do Paraná, P.O. Box 19092, 81531-980, Curitiba - PR, Brasil","Rua XV de Novembro, 1299 - Centro, Curitiba - PR, 80060-000, Brazil",-25.42690810,-49.26176580,edu, +dbbba520c98308df34b69ba74fa033292662f9f1,A convolutional neural network based on TensorFlow for face recognition,China,China,China,35.86166000,104.19539700,edu, dbf100379671730692abb489d4aaa25f866ffaba,Learning the discriminative dictionary for sparse representation by a general fisher regularized model,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, dbe64cf1c505ca5ccd0f8ad914bc0eca97e44e8b,GEINet: View-invariant gait recognition using a convolutional neural network,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, db0379c9b02e514f10f778cccff0d6a6acf40519,Differentiating spontaneous from posed facial expressions within a generic facial expression recognition framework,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +dbcfefa92edab8d1ffe8bc1cc66ad80fb13d2b6a,Feature extraction using maximum variance sparse mapping,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, e8f0f014c38290d17882542e576e237da87f0620,Notice of Violation of IEEE Publication PrinciplesGeneric Object Recognition Via Integrating Distinct Features with SVM,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, e865908ed5e5d7469b412b081ca8abd738c72121,A Non-Greedy Algorithm for L1-Norm LDA,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, e868cf6bc55777aa5829612f7f791310536d78e0,Improving channel features using statistical analysis for pedestrian detection,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu, e8f6838a552919eee7b61be745888f2d4c480e22,Vision-Based Parking-Slot Detection: A DCNN-Based Approach and a Large-Scale Benchmark Dataset,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, +e8767c07279240ec65b01c5c835e7b125d7baf3e,Implementation of ICA based score level fusion of iris and ear biometrics,India,India,India,20.59368400,78.96288000,edu, e8d0cb340284ff7d97fb2d65556659a3e4bb0fa6,Local texture-feature description with triangle patterns,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, e880437e23b1f8955604b1c7d09fbc4385245d19,Facial Sketch Synthesis Using 2D Direct Combined Model-Based Face-Specific Markov Network,Tamkang University,Tamkang University,"淡江大學, 151, 英專路, 中興里, 鬼仔坑, 淡水區, 新北市, 25137, 臺灣",25.17500615,121.45076751,edu, e83aa5155451fdca2ae4ed669a37a6de98296006,Combining Multiple Cues for Visual Madlibs Question Answering,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, @@ -1188,20 +1657,34 @@ e8f4ded98f5955aad114f55e7aca6b540599236b,Convolutional Fusion Network for Face V e87b59db55a69e452d3560e54561aedcb59a1b55,Locality-Based Discriminant Feature Selection with Trace Ratio,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e80ac8c09bd1161c8709124d799a25b8af109224,Neural Information Processing,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, e8de844fefd54541b71c9823416daa238be65546,Recognition using visual phrases,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +e8b197ada861f35d18024543196be65d4b0f8c97,Training-free moving object detection system based on hierarchical color-guided motion segmentation,"SPS-VCA, TU/e, 5600 MB Eindhoven, the Netherlands","SPS-VCA, TU/e, 5600 MB Eindhoven, the Netherlands","5612 AZ Eindhoven, Netherlands",51.44860980,5.49071480,edu, e8c051d9e7eb8891b23cde6cbfad203011318a4f,Real-time head pose estimation for driver assistance system using low-cost on-board computer,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +e8d5e923e88bec3deec7fe5132932398d5dd9067,Towards culturally aware robot navigation,Shenzhen Institute of Advanced Technology,Shenzhen Institute of Advanced Technology,"Tengfei Rd, LongGang ZhongXin Cheng, Longgang Qu, Shenzhen Shi, Guangdong Sheng, China, 518172",22.72147100,114.21548200,edu, +e8420101f54438859ca5cf85ecee01b265bb1568,Robust Generalized Low Rank Approximation of Matrices for image recognition,Dhofar University,"Dhofar University, Oman","Salalah, Oman",17.08962770,54.14584760,edu, e8062a0e50606e2230120e44b38a8cc26f475c22,Online Discriminative Structured Output SVM Learning for Multi-Target Tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e816e2bdcfc7a93355ec3f8f336bf2b05ac98b21,Locality constrained low-rank sparse learning for object tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 89dd979043cbda9f3964c31acc69873c63040552,MILD: Multiple-Instance Learning via Disambiguation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, -898ff1bafee2a6fb3c848ad07f6f292416b5f07d,Face Alignment via Regressing Local Binary Features,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +899924764816c2c68d15d964a24f4fddba8d3b29,Gender classification using selected independent-features based on Genetic Algorithm,China,China,China,35.86166000,104.19539700,edu, +89f680a78d118f14753056496dd26059ca08a6c7,A Modified MDP Algorithm for Multi-Pedestrians Tracking,China,China,China,35.86166000,104.19539700,edu, +89f108814e97bb63030b4711d46413bfe39197b3,Self-Validation for Automotive Visual Odometry,"Control Methods & Robotics Lab, TU Darmstadt, Germany","Control Methods & Robotics Lab, TU Darmstadt, Germany","Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +89e23ad356db842dbc23446c062af2a0d735b096,An improved locality sensitive discriminant analysis approach for feature extraction,China,China,China,35.86166000,104.19539700,edu, +898ff1bafee2a6fb3c848ad07f6f292416b5f07d,Face Alignment via Regressing Local Binary Features,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +89a9f4faa9a24690e140542be3c5db4a0db5648b,"$\mathsf{CHOAMP}$ : Cost Based Hardware Optimization for Asymmetric Multicore Processors",India,India,India,20.59368400,78.96288000,edu, 891938a103b72bbc9f277a8106acff72e7f9b6d5,Extracting Multiple Features in the CID Color Space for Face Recognition,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, 8966eb0853cb350aa49e9769013fa3c942d35206,Robust spike-and-slab deep Boltzmann machines for face denoising,China University of Mining and Technology,China University of Mining and Technology,"China University of Mining and Technology, 1号, 大学路, 泉山区 (Quanshan), 徐州市 / Xuzhou, 江苏省, 221116, 中国",34.21525380,117.13985410,edu, 89497854eada7e32f06aa8f3c0ceedc0e91ecfef,Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling,Alibaba,"AI Laboratories, Alibaba Group, Hangzhou, China","Hangzhou, Zhejiang, China",30.27408400,120.15507000,company, +89896474f007c99f5967bcc05a952654a3bbb736,Face recognition using local features by LPP approach,"Microelectronics and Control Systems, PES Institute of Technology Bangalore, Karnataka, India","Microelectronics and Control Systems, PES Institute of Technology Bangalore, Karnataka, India","Outer Ring Rd, Banashankari 3rd Stage, Banashankari, Bengaluru, Karnataka 560085, India",12.93449480,77.53451640,edu, +899f72a312a4ff21842124780ede7e6f585a2a47,Curvature-based curb detection method in urban environments using stereo and laser,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 890f9b0e5547c133b9294bd4045eb9b4e1b60880,Emotion recognition on static images using deep transfer learning and ensembling,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 8966eebfc31dad7902ff5cf867142bf6af69a0e4,Face recognition based on Low-Rank matrix Representation,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +892b845bbd1b2eba8d014c852ab5b8a8dced8efe,Representation of Pose Invariant Face Images Using SIFT Descriptors,"Council for Scientific and Industrial Research, Pretoria, South Africa","Modelling and Digital Science, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa","Council for Scientific and Industrial Research, Building 44, Scientia 627-Jr, Pretoria, 0081, South Africa",-25.75667710,28.28034380,edu, 89e31777f221ddb3bc9940d7f520c8114c4148a2,Integrating Spectral Kernel Learning and Constraints in Semi-Supervised Classification,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +89efe00633f660b75ef32aa246b36efd85619da1,Toward Optimal Manifold Hashing via Discrete Locally Linear Embedding,China,China,China,35.86166000,104.19539700,edu, +895d366c5d9c544661cb1de060c5c6b8a2990b87,An efficient object recognition based on Gabor transform and LBP variance,China,China,China,35.86166000,104.19539700,edu, 89d38db614621e925756db6e9b068fefd812d4a1,A survey on facial expression recognition in 3D video sequences,Democritus University of Thrace,Democritus University of Thrace,"Δημοκρίτειο Πανεπιστήμιο Θράκης, Μάκρη - Αλεξανδρούπολη, Αλεξανδρούπολη, Δήμος Αλεξανδρούπολης, Περιφερειακή Ενότητα Έβρου, Περιφέρεια Ανατολικής Μακεδονίας και Θράκης, Μακεδονία - Θράκη, 68100, Ελλάδα",40.84941785,25.83444939,edu, 89198580f18cad7f62393732868a977ffae57917,Person re-identification by distance metric learning to discrete hashing,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 89a1e42f645c657510eef13c151851f945eb3681,Assessment of Binary Coding Techniques for Texture Characterization in Remote Sensing Imagery,Rio de Janeiro State University,Rio de Janeiro State University,"UERJ, 524, Rua São Francisco Xavier, Maracanã, Zona Norte do Rio de Janeiro, Rio de Janeiro, Microrregião Rio de Janeiro, Região Metropolitana do Rio de Janeiro, RJ, Região Sudeste, 20550-900, Brasil",-22.91117105,-43.23577971,edu, +8984bab6e9523b65cd8c482236eea0af8eb88743,Exploiting Texture Cues for Clothing Parsing in Fashion Images,Staqu Technologies,Staqu Technologies,"3rd floor, Mehrauli-Gurgaon Road, Sikanderpur, Sector 26, Gurugram, Haryana 122002, India",28.48127500,77.10044670,edu, f1061b2b5b7ca32edd5aa486aecc63a0972c84f3,Duplex Metric Learning for Image Set Classification,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, f16599e4ec666c6390c90ff9a253162178a70ef5,Linguistic Patterns and Cross Modality-based Image Retrieval for Complex Queries,La Trobe University,La Trobe University,"La Trobe University, Keck Street, Flora Hill, Bendigo, City of Greater Bendigo, Loddon Mallee, Victoria, 3550, Australia",-36.77847540,144.29804700,edu, f180cb7111e9a6ba7cfe0b251c0c35daaef4f517,Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, @@ -1212,11 +1695,16 @@ f10727c4827118a147f1301d2fd5e206aedfeae7,Supervised sparse representation with c f1da4d705571312b244ebfd2b450692fd875cd1f,Max-Margin Multiattribute Learning With Low-Rank Constraint,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, f153f5099c69b644f2222a80de798ae82dc36d67,Fashion image classification on mobile phones using layered deep convolutional neural networks,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, f13530aebae0a1a03a5dbe7f5375506e4f92d0c3,3D face sparse reconstruction based on local linear fitting,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +f1cc060b6adcca3f8130e8670230899160d26848,Partial Data Ear Recognition From One Sample per Person,China,China,China,35.86166000,104.19539700,edu, f1a58bb78149f408471ce166a13cd9176e5edc5b,Facial Landmark Extraction Scheme Based on Semantic Segmentation,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, f1af714b92372c8e606485a3982eab2f16772ad8,The MUG facial expression database,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +f19f875c535b940cc642f5366925e92ac3caac97,A deep learning approach for the forensic evaluation of sexual assault,University of Southern Denmark,"Institute of Forensic Medicine, University of Southern Denmark, Odense, Denmark","Lucernemarken 20, 5260 Odense, Denmark",55.37014060,10.40006740,edu, +f174dbcc50436437e6bbd4139d0947138a362a7f,Bridging the Aesthetic Gap: The Wild Beauty of Web Imagery,Yahoo,"Yahoo Inc., New York, NY, USA","229 W 43rd St, New York, NY 10036, USA",40.75747140,-73.98773180,company, f11d3728c1e3ca14c697ea2c95f428d38f340554,Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, f1f3ecbcd46fb5ac2731ca118b61a4e3c9a429ea,Automatic Refinement Strategies for Manual Initialization of Object Trackers,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +f152b6ee251cca940dd853c54e6a7b78fbc6b235,Skybiometry and AffectNet on Facial Emotion Recognition Using Supervised Machine Learning Algorithms,"Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Asiatech College, City of Sta. Rosa, Laguna, Philippines","Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Asiatech College, City of Sta. Rosa, Laguna, Philippines","363 P Casal, Quiapo, Manila, 1001 Metro Manila, Philippines",14.59531500,120.98797700,edu, f180db1f0216c097ed9d669ea69e9d3eddd8eb8a,Distributed eigenfaces for massive face image data,Chung-Ang University,Chung-Ang University,"중앙대학교, 서달로15길, 흑석동, 동작구, 서울특별시, 06981, 대한민국",37.50882000,126.96190000,edu, +4085e77b15bd340d9e18be651b37e7790f676cd0,Image and Graphics,UNSW,"UNSW, Sydney, Australia","Sydney NSW 2052, Australia",-33.91734700,151.23126750,edu, 407806f5fe3c5ecc2dc15b75d3d2b0359b4ee7e0,Enhanced independent spectral histogram representations in face recognition,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 409ef25650e455f7e40cf33f651e8e909dea2e9d,Subspace clustering by Mixture of Gaussian Regression,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 40ff3276e62f03fe216d8592d2fc994d8eead010,Video Forecasting with Forward-Backward-Net: Delving Deeper into Spatiotemporal Consistency,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, @@ -1225,45 +1713,68 @@ f180db1f0216c097ed9d669ea69e9d3eddd8eb8a,Distributed eigenfaces for massive face 40f6207b722c739c04ba5a41f7b22d472aeb08ec,PFID: Pittsburgh fast-food image dataset,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 4014d74e8f5ea4d76c2c1add81d0c88d6e342478,Group emotion recognition in the wild by combining deep neural networks for facial expression classification and scene-context analysis,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, 4096bcf05731a107a41dfc38abf20c93d161f27e,Semi-supervised subspace segmentation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +40854850a1ca24d9f1e62f2a0432edcbb5633f76,Feature extraction based on fuzzy bidirectional maximum margin criterion for face recognition,China,China,China,35.86166000,104.19539700,edu, +40b886e29d3e553d4ecbaa7945a75e709e0d5699,The Viola-Jones algorithm performance enhancement for a person's face recognition task in the long-wave infrared radiation range,Russia,Russia,Russia,61.52401000,105.31875600,edu, 4061f7c60deb3f22e10fab6ae3fccb69e06c34b0,Integrating Range and Texture Information for 3D Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 409507208528c295f5f69759ce67c5e155e1113d,Visual simultaneous localization and mapping using stereo vision with human body elimination for service robotics,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 402dc9ca10b92e848741991256d8b53d220d6be5,Illumination normalization of facial images by reversing the process of image formation,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 4014e8c1a1b49ad2b9b2c45c328ec9f1fd56f676,ADL: Active dictionary learning for sparse representation,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, 40848b442cd52cbb9a440e413d5edea23a6ac26d,Semi-automatic Data Annotation Tool for Person Re-identification Across Multi Cameras,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +401918cb0bfc23b900594fd94a57182a5b4f530a,Visual Servo Regulation of Wheeled Mobile Robots With an Uncalibrated Onboard Camera,Nankai University,"Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China","94 Weijin Rd, Nankai Qu, China, 300071",39.10394430,117.17422320,edu, +403537a81f9c295ab5770fd82abe4f7542be9200,Driver Pose Estimation by Hybrid Convolutional Network Architecture,China,China,China,35.86166000,104.19539700,edu, 40b82e992263e74537b1c4c70bd9d9cf0c241e02,A Novel Multi-Feature Descriptor for Human Detection Using Cascaded Classifiers in Static Images,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu, +406c5aeca71011fd8f8bd233744a81b53ccf635a,Scalable softmax loss for face verification,China,China,China,35.86166000,104.19539700,edu, +405ff96909968c6de716c9a650c8f27aa5b336b0,An Unconstrained Face Detection Algorithm Based on Visual Saliency,China,China,China,35.86166000,104.19539700,edu, 40dd736c803720890d6bfc1e083f6050e35d8f7a,Large-Scale Mapping of Human Activity using Geo-Tagged Videos,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, +406d9f9ab1f1e9fc431a09f4567c4b3dd0aaa711,Multimodal Alignment of Videos,"Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria","Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria","Universitätsstraße 65-67, 9020 Klagenfurt am Wörthersee, Austria",46.61607900,14.26528990,edu, +402979eccaf4580a57843521fef46a0c46a53b51,Robust face recognition method based on SIFT features using Levenberg-Marquardt Backpropagation neural networks,India,India,India,20.59368400,78.96288000,edu, 4097fef623185557bb1842501cfdc97f812fc66d,CTC Network with Statistical Language Modeling for Action Sequence Recognition in Videos,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 40f06e5c052d34190832b8c963b462ade739cbf0,Face recognition based on the quotient image method and sparse representation,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 05c974b9fde42f87e28458fb7febf7a05f2dfd18,A New Facial Expression Analysis System Based on Warp Image,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, +05f1c38ae248e626be99354db4b7fb7f7289bd1e,Multi-scale Local Binary Pattern histogram for gender classification,China,China,China,35.86166000,104.19539700,edu, +05962afc7380a1e13a99534979d3e5905978f27d,Fast traffic scene segmentation using multi-range features from multi-resolution filtered and spatial context channels,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, 0532cbcf616f27e5f6a4054f818d4992b99d201d,Class specific centralized dictionary learning for face recognition,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 05184f01e66d7139530729b281da74db35a178d2,Optimal metric selection for improved multi-pose face recognition with group information,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, 05531fda7a82b18c42c7ae9d053349fdb8281b33,Image Annotation by Multiple-Instance Learning With Discriminative Feature Mapping and Selection,University of Vermont,University of Vermont,"University of Vermont, Colchester Avenue, Burlington, Chittenden County, Vermont, 05401, USA",44.48116865,-73.20021790,edu, 05fa2ff1a6020a34cb4e0515a24f5eddc9ea0dd9,Locality preserving KSVD for nonlinear manifold learning,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, 05d7812269e8a1c229e45665efdf88eeae605dfc,Centralized Gabor gradient histogram for facial gender recognition,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, 05fcbd15764437c8d185c79eaf5cc1683f62dbf4,Augmenting Image Descriptions Using Structured Prediction Output,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +05c5134125a333855e8d25500bf97a31496c9b3f,Robust Multi-Modal Cues for Dyadic Human Interaction Recognition,University of Tunis El Manar,"SITI Laboratory, University of Tunis El Manar, Tunis, Tunisia","Université de Tunis El Manar, Campus Universitaire Farhat Hached, B.P. n° 94 - ROMMANA, Tunis 1068, Tunisia",36.82930900,10.14626800,edu, +05ad1b2d94e25b14ab026abd09f59fe65d1586a8,Two-Level Bimodal Association for Audio-Visual Speech Recognition,"Multimedia Signal Processing Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland","Multimedia Signal Processing Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland","Route Cantonale, 1015 Lausanne, Switzerland",46.51905570,6.56675760,edu, 05b6da9e4b07c55115eca805b4d05f97b8a6f6c7,An Extended Filtered Channel Framework for Pedestrian Detection,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 052cec9fdbfe12ccd02688f3b7f538c0d73555b3,A secure watermarking technique without loss of robustness,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 052bd24b03bd2acddf0aebae8111d4d2021c56b9,3D face recognition using stereo images,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 055cd8173536031e189628c879a2acad6cf2a5d0,Fast multi-view face alignment via multi-task auto-encoders,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 05dc1d27ade984a1d85e104b11aa3380fcd0d8ad,Establishing Point Correspondence of 3D Faces Via Sparse Facial Deformable Model,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 0547c44cb896e1cc38130ae8cc6b04dc21179045,Fast-Match: Fast Affine Template Matching,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, +05ff2975863bc9f7b16f2c0b85a1d17f8b76cdb3,Three-level face features for face recognition based on center-symmetric Local Binary Pattern,China,China,China,35.86166000,104.19539700,edu, 05785cb0dcaace54801aa486d4f8fdad3245b27a,Novel generative model for facial expressions based on statistical shape analysis of landmarks trajectories,"CRIStAL UMR, France","Télécom Lille, CRIStAL UMR (CNRS 9189), France","Lille, France",50.62925000,3.05725600,edu, +05a3f10b6cef0178f5d149ece2b0f08e8b6af7a8,A spindle model for contextual object detection,Institute of Image Transmission and Information Processing Shanghai Jiao Tong University,Institute of Image Transmission and Information Processing Shanghai Jiao Tong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 057b80e235b10799d03876ad25465208a4c64caf,Video Question Answering via Gradually Refined Attention over Appearance and Motion,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 052c5ef6b20bf3e88bc955b6b2e86571be08ba64,Heterogeneous Specular and Diffuse 3-D Surface Approximation for Face Recognition Across Pose,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, 05dc38472fd4ccab196543b8f48e3117b199922a,Secure face biometric verification in the randomized Radon space,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, +05c9a18cc71a818196ca53fda88cbacf434d3ee9,Comparing two video-based techniques for driver fatigue detection: classification versus optical flow approach,"Signal Network Technology Pty Ltd, Sydney, Australia","Signal Network Technology Pty Ltd, Sydney, Australia","Sydney NSW, Australia",-33.86881970,151.20929550,edu, b8494e587377ee718fa205438e4a7e9dae64024c,Activity recognition for asd children based on joints estimation,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu, +b85d0aef3ee2883daca2835a469f5756917e76b7,Semantic movie summarization based on string of IE-RoleNets,China,China,China,35.86166000,104.19539700,edu, b8345f687588867bc800a0c149d59db4b873160d,Toolbox for ear biometric recognition evaluation,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, b88b57d52f6f16986381fa0ba9d5a1387886c157,Audio-visual tracking by density approximation in a sequential Bayesian filtering framework,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, b806a31c093b31e98cc5fca7e3ec53f2cc169db9,Gaze fixations and dynamics for behavior modeling and prediction of on-road driving maneuvers,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +b89fc897a5c538b2de462fb68bab4e588eab68f9,Fusion in multimodal biometric using iris and ear,India,India,India,20.59368400,78.96288000,edu, b8f6ab05e147811da7038711aebc931d061ccffc,A robust point detection algorithm based on wavelet transform for visual tracking,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, b84f164dbccb16da75a61323adaca730f528edde,Approximate Least Trimmed Sum of Squares Fitting and Applications in Image Analysis,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +b84787a4e89e93f7b003014202a3f5473ddd5938,A rotation invariant and realtime online template matching method for object detection,China,China,China,35.86166000,104.19539700,edu, b8452417df1047ebace6fb1368b4b91be79b8cc6,Low-power image recognition challenge,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, b8a670eb52db712d04ae00606a025edf63dc8a79,Did You See Me?: Assessing Perceptual vs. Real Driving Gains Across Multi-Modal Pedestrian Alert Systems,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, +b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9,Dynamic Feature Matching for Partial Face Recognition,China,China,China,35.86166000,104.19539700,edu, b8f1d51fb48655ee38fc4634d016cffa817619ae,A Comparative Study of Matrix Completion and Recovery Techniques for Human Pose Estimation,University of Crete,University of Crete,"House of Europe, Μακεδονίας, Ρέθυμνο, Δήμος Ρεθύμνης, Περιφερειακή Ενότητα Ρεθύμνου, Περιφέρεια Κρήτης, Κρήτη, 930100, Ελλάδα",35.37130240,24.47544080,edu, +b8771c3c3de2444b74e637f187e972eddd51506c,3D Facial Video Retrieval and Management for Decision Support in Speech and Language Therapy,"Universidade NOVA Lisboa, Lisbon, Portugal","Universidade NOVA Lisboa, Lisbon, Portugal","1070 Lisbon, Portugal",38.73368200,-9.16033300,edu, b89f8c7c104d4acdfcc03eb04908d6359a6eda1f,An ensemble of deep neural networks for object tracking,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, b8a16fcb65a8cee8dd32310a03fe36b5dff9266a,Facial expression recognition from static images,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +b881a0bb227052c6ac1f6f584b27ff05b778e937,Extension and FPGA architecture of the Generalized Hough Transform for real-time stereo correspondence,Pforzheim University,"Merses Center for Applied Research, Pforzheim University, Germany","Pforzheim, Germany",48.89218620,8.69462860,edu, b8d15b12418569089c786e3754e169bc43001644,Discriminative structure discovery via dimensionality reduction for facial image manifold,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, b8d5d2e4ad3c20657b7769391e0cd0bb47ba568d,Color pornographic image detection based on color-saliency preserved mixture deformable part model,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +b87abdb1b11b6b2dce1749bdd0b396796da7e7a6,Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study,"Baylor College of Medicine, Houston, TX, USA","Baylor College of Medicine, Houston, TX, USA","1 Baylor Plaza, Houston, TX 77030, USA",29.71052900,-95.39624100,edu, +b82ffd6f490a6ff33908ad3370bbe18330a8243b,Stereoscopic scene flow estimation with global motion prior,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, b82f89d6ef94d26bf4fec4d49437346b727c3bd4,Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, b8968033438c1a53219dd75150b711a6aae6bee7,Pedestrian detection based on sparse coding and transfer learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, b810ee6da48d3778f5b4dba9088706af1169edde,Automatic Diabetic Retinopathy detection using BossaNova representation,Charles Sturt University,Charles Sturt University,"Charles Sturt University, Wagga Wagga, NSW, 2678, Australia",-35.06360710,147.35522340,edu, @@ -1278,38 +1789,54 @@ b870406cd5483d53cf02d6c28981616996f7f08a,Implementation of high performance hard 67865e222e679806c9fb24472633eb96adca92f5,Scalable and robust PCA approach with random column/row sampling,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 67d7ba941dc91eb016551102fd9642263ae47de8,Wavelet Energy Entropy as a New Feature Extractor for Face Recognition,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, 67f8af0085eb6b68a41bb2044f4ddca38b78b109,A segmentation-aware object detection model with occlusion handling,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +6753d69f6b85839b3c7fb47b653b47b264679ad3,Learning with dataset bias in latent subcategory models,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 6701efa7f715b3c296843b8ff5414a6610711cf9,Semi-automatic image and video annotation system for generating ground truth information,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu, 676600ed722d4739d669715c16a1ed2fc117b3d4,Weakly supervised detection with decoupled attention-based deep representation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 6774a2f9c88ea8db244d62282229127e83761758,Ear biometrics using jet space similarity,Kogakuin University,Kogakuin University,"工学院大学, 東通り, 新宿区, 東京都, 関東地方, 163-8677, 日本",35.69027840,139.69540096,edu, +67faf6163bc7a9b29148add1950afe928719b361,Development of visual inspection systems for 3D printing,Russia,Russia,Russia,61.52401000,105.31875600,edu, +6788099f9e6b165927dfbfa71065d4c37ac97f27,Eye color classification for makeup improvement,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, +677172a408cd8378261a96d888a5cebf68193842,Face correction and recognition of multi-pose based on Gaussian process regression,China,China,China,35.86166000,104.19539700,edu, 678f2f9b3597cb0304f5c0c937fa2f5b25daa6aa,Gait Feature Subset Selection by Mutual Information,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 670531f3925c1ee6921f1550a988a034db727c3b,Photo Recall: Using the Internet to Label Your Photos,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +670e2c9b18ad853e86fe402bb8161bc81e38887d,A biometrical data quality analysis method to reliably evaluate the efficiency of recognition algorithms and systems,Russia,Russia,Russia,61.52401000,105.31875600,edu, 67ef372d35382570d7a16488d5e2c6b8ef88677f,Towards Independent Stress Detection: A Dependent Model Using Facial Action Units,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 673f17802bb99766407c70804c17357c3c448b6f,CAS(ME)$^2$ : A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 6749db5ae9547d5fe0fb4c743c631eb5bac69d37,An adaptive clustering approach for group detection in the crowd,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +67ae7ee9557cb486d5e1129b9b24466ffb8c4766,More efficient and effective tricks for deep action recognition,"The Third Research Institute of the Ministry of Public Security, Shanghai, China","The Third Research Institute of the Ministry of Public Security, Shanghai, China","China, Shanghai, Xuhui, 岳阳路76号",31.20700600,121.45196400,gov, 67e7c14ecae22868e8159c52941194cdf6f003a2,Shape feature based extraction for face recognition,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, 67ec24bf3d227ef11845db4743d3da7f3a5a8f5b,A New Hypothesis on Facial Beauty Perception,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 3f204a413d9c8c16f146c306c8d96b91839fed0c,Menpo: A Comprehensive Platform for Parametric Image Alignment and Visual Deformable Models,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +3fcbf2e1e73d33041034647b243907a8101e0dfd,Pedestrian detection in traffic scenes using multi-attitude classifiers,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, +3f57498a6ddffa18225e6f10e9d5bc7f9bd24613,3D convolutional neural network for object recognition: a review,"Punjab Engineering College, Chandigarh, India","Punjab Engineering College, Chandigarh, India","Vidya Path, Sector 12, Chandigarh, 160012, India",30.76728040,76.78698350,edu, +3fb0a5517d6e855b7b7574394ff781194b72c7b4,Decision making in the LDA space: generalised gradient direction metric,Surrey University,"Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK","388 Stag Hill, Guildford GU2 7XH, UK",51.24218390,-0.59054210,edu, 3fa3591399755c8a50c60877652ef083ca37d3b3,Emotion Differentiation based on Decision-Making in Emotion Model,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, 3f501130dcae183c3e5abcc71cb40e29b791c446,$k^{3}$-Sparse Graph Convolutional Networks for Face Recognition,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, +3f4711c315d156a972af37fe23642dc970a60acf,Pose invariant face recognition with 3D morphable model and neural network,"KT Future Technology Laboratory, Seoul, South Korea","KT Future Technology Laboratory, Seoul, South Korea","Seoul, South Korea",37.56653500,126.97796920,edu, 3f1ca715733c617c96a5d6deeb76c93c710d082d,Efficient Mining of Optimal AND/OR Patterns for Visual Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 3f9e948faee62a85a1b8a14f45fe4bb4be1d6637,Image representation via sub-dictionary based sparse coding,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu, 3f089131d71321461f84a06064689b6daad951f6,Robust Part-Based Face Recognition Using Boosting and Transduction,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, +3f04365f59ee8bced434ef82a04ab0aa0ff43cd6,Interactive feature visualization and detection for 3D face classification,Finland,Finland,Finland,61.92411000,25.74815110,edu, 3f8fa9d4772d0b37deb98cbc9903da6cb754799a,From Clothing to Identity: Manual and Automatic Soft Biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 3f1d8a700a193c8e27992f2c26ff8325b878b85f,Scale-variance pedestrian detection via an integrated system,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 3f95a5146d97480388b2f8d4ae189e4f7374e715,"Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection",SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 3fd092b96c3339507732263c9e6379b307c26073,Human action recognition system for elderly and children care using three stream ConvNet,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu, +3f320fbdd5054961cc3766dd2b2ee22c4d4abe01,Robust object tracking via weight-based local sparse appearance model,China,China,China,35.86166000,104.19539700,edu, 3fbff11afa17f4c6f13f52a944ff9588be52ae41,Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 3f70938c1ea282a2f2efd4609223d04a8f1e1288,Constructing training distribution by minimizing variance of risk criterion for visual category learning,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 3f549b21834844b5db1531670c34eb06e2c95e61,A Multi-Modal Approach to Sensing Human Emotion,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +3f3acbe919d9324b379b13a0ba54d0035f2b5035,Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation,"NeuroRx Research, Montréal, Canada","NeuroRx Research, Montréal, Canada","3575 Av du Parc #5322, Montréal, QC H2X 3P9, Canada",45.51039160,-73.57505770,edu, 3f2a44dcf0ba3fc72b24c7f09bb08e25797398c1,Recent advances in video-based human action recognition using deep learning: A review,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 3fbe4a46b94cdacbf076a66da7ea7e6546e96025,Discriminative patch-based sparse representation for face recognition,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 3f88ea8cf2eade325b0f32832561483185db5c10,Low-Rank and Joint Sparse Representations for Multi-Modal Recognition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 3f4f1cabe336948b80c819b910581e0f338c4b4a,Gender classification of full body images based on the convolutional neural network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +3ffd6531263bc1d0b7acd4a234a578c285f77917,Research on video face detection based on AdaBoost algorithm training classifier,China,China,China,35.86166000,104.19539700,edu, 3f114f494306cc17b6c3639c28424516ef4ed242,3D Head Tracking and Facial Expression Recovery using an Anthropometric Muscle-based Active Appearance Model,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu, +3f17078de8d62246d2d28428d0d89a98a6652a29,Mean Laplacian mappings-based difference LDA for face recognition,China,China,China,35.86166000,104.19539700,edu, 3fc24d9d0ea6c52d316b4740a52b4bf28ba29cb5,Person Re-identification by Bidirectional Projection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 3fea9e8599fb75f03089d3402f7ae8e868e2a7a8,Automatic Face Annotation in Personal Photo Collections Using Context-Based Unsupervised Clustering and Face Information Fusion,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 3ff79cf6df1937949cc9bc522041a9a39d314d83,Adversarial examples: A survey,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu, 3f50b80eca9d15b5626ec05062c48149e98ab3f5,hEYEbrid: A hybrid approach for mobile calibration-free gaze estimation,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, +6d838f3628dd3e8cdbc7da0b1b472c8c71eb0124,Multiple Neural Networks and Bayesian Belief Revision for a never-ending unsupervised learning,"Università Politecnica delle Marche, Italy",Università Politecnica delle Marche (Italy),"Via Lodovico Menicucci, 6, 60121 Ancona AN, Italy",43.61738120,13.51396470,edu, 6dbe8e5121c534339d6e41f8683e85f87e6abf81,Clothing Cosegmentation for Shopping Images With Cluttered Background,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, 6d4790026b63a175a635351b355cb7db7504cfc1,Mass Evidence Accumulation and Traveler Risk Scoring Engine in e-Border Infrastructure,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, 6d4c64ca6936f868d793e1b164ddaf19243c19a7,Scalable Linear Visual Feature Learning via Online Parallel Nonnegative Matrix Factorization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -1322,15 +1849,18 @@ b870406cd5483d53cf02d6c28981616996f7f08a,Implementation of high performance hard 6de935a02f87aa31e33245c3b85ea3b7f8b1111c,Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 6db593d99fabc7f787f41786cb2e37c084f1ad19,Deep Age Estimation Model Stabilization from Images to Videos,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 6d2fd0a9cbea13e840f962ba7c8a9771ec437d3a,Robust Low Rank Subspace Segmentation via Joint $$\ell _{21} $$ ℓ21 -Norm Minimization,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, +6d67c2368650a65900b0d13c9ee9554dfdf8c03a,A pipelined multi-softcore approach for the HOG algorithm,University of São Paulo,"Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil","Av. Trab. São Carlense, 400 - Centro, São Carlos - SP, 13566-590, Brazil",-22.00703470,-47.89493230,edu, 6db2aa7bf4c5f7714676ef346d2a5f9b0752ee3d,Accurate object tracking by combining correlation filters and keypoints,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 6da3ff4250103369f4a6a39c8fb982438a97525c,Binary Data Embedding Framework for Multiclass Classification,University of Liverpool,University of Liverpool,"Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK",53.40617900,-2.96670819,edu, +6d8a7399a195023f8546846231cc032342d0c622,Multimodal Facial Expression Recognition Based on Dempster-Shafer Theory Fusion Strategy,China,China,China,35.86166000,104.19539700,edu, 6d16337d7329ac12dc1d0f072c820d291bcc8259,Fusing Visual and Inertial Sensors with Semantics for 3D Human Pose Estimation,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 6d4103762e159130b32335cbf8893ee4dca26859,Action unit classification using active appearance models and conditional random fields,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, -6ddc0558a2e0f97b36e6af2e3f3858ba184cd257,The Mask-SIFT cascading classifier for pornography detection,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +6ddc0558a2e0f97b36e6af2e3f3858ba184cd257,The Mask-SIFT cascading classifier for pornography detection,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, 6dcf6b028a6042a9904628a3395520995b1d0ef9,Field support vector machines,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 6da711d07b63c9f24d143ca3991070736baeb412,Spatio-temporal constraint for fast face tracking in movies,"Orange Labs International Center, Beijing, China","Orange Labs International Center Beijing, Beijing, 100876, China","Beitaipingzhuang, Haidian, Beijing, China, 100876",39.96416860,116.35725230,edu, 6d08526a7a02ffa51ac50fab2eb9f794af38539b,Transferring Boosted Detectors Towards Viewpoint and Scene Adaptiveness,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 6d670eb172355d46034a831d8dc569e17ab14d94,Exploiting fuzzy approximator to head pose estimation,Ferdowsi University of Mashhad,Ferdowsi University of Mashhad,"دانشگاه فردوسی مشهد, بولوار دانش, رضاشهر, منطقه ۹, مشهد, شهرستان مشهد, استان خراسان رضوی, 9177146164, ‏ایران‎",36.30766160,59.52690511,edu, +6d403c9ca96ace8f3f2ec6de8138cea365a76610,Audio-based emotion recognition using GMM supervector an SVM linear kernel,Chonnam National University,"Chonnam National University, Gwangju, Korea Rep.","77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea",35.17611750,126.90581670,edu, eed87e0cab48938ad5a3809a04c0f54a7dd39cb8,Particle filter based multi-pedestrian tracking by HOG and HOF,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, ee7c9e3d417df6234d64364c6922b12433e0de38,Face Detection and Gesture Recognition for Human-Computer Interaction,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, ee356b434738e2965e27f933d974cc4609277328,Weighted histogram equalized PEM-PCA face recognition,Khon Kaen University,Khon Kaen University,"มหาวิทยาลัยขอนแก่น, 4, บ้านหนองหัวช้าง, ขอนแก่น, จังหวัดขอนแก่น, 40002, ประเทศไทย",16.46007565,102.81211798,edu, @@ -1339,21 +1869,32 @@ ee72673c0394d0fff2b3d8372d8a9401867b8e13,Face recognition in real-world surveill ee82faba334ede5f46b19d93639679b318bfa869,Zero-Shot Learning via Low-Rank-Representation Based Manifold Regularization,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, eedb2c34c36017b9c5aa6ce8bff2ab152e713cee,A face emotion tree structure representation with probabilistic recursive neural network modeling,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, ee0f601226819c01fc6b6add2e551887473bbc23,Active learning for person re-identification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, +eefeb9dea84320b1d9ae5997a2368516f42c2ce0,Pupil center detection for infrared irradiation eye image using CNN,"Kyushu Institute of Technology, Iizuka, Japan","Kyushu Institute of Technology, Iizuka, Japan","680-4 Kawazu, Iizuka, Fukuoka Prefecture 820-0067, Japan",33.65416380,130.67120060,edu, +ee8a75b776f92e797856b3d9a8f2c02421e53ad5,Biometric hash: high-confidence face recognition,"Fac. of Inf. Sci. & Technol., Multimedia Univ., Melaka, Malaysia","Fac. of Inf. Sci. & Technol., Multimedia Univ., Melaka, Malaysia","75450 Bukit Beruang, Malacca, Malaysia",2.24903030,102.27720580,edu, eeaca5178795fcbce0e0042549b6bf585033122f,Flexible X-Y patches for face recognition,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, +ee744ea13a0bbeba5de85ca3c75c9749054835e7,Skin color difference measurement between real faces and face images from display according to lighting ratio,"Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea","Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea","1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea",35.22537080,126.84618340,edu, eefc06f6e6af1c2b9b33fb12bdaff73e19a31d6c,The IST-EURECOM Light Field Face Database,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, ee2ec0836ded2f3f37bf49fa0e985280a8addaca,Face verification across age progression: A survey of the state-of-the-art,University of KwaZulu-Natal,University of KwaZulu-Natal,"238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa",-29.86742190,30.98072720,edu, ee5bd0ab876cf319bdedd09c2da5843f6ae714cd,Fast Deep Neural Networks With Knowledge Guided Training and Predicted Regions of Interests for Real-Time Video Object Detection,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, +ee2bb1a7f58b4c3735a52e7692e6293413d72dec,An architecture for the deployment of statistical models for the big data era,"Research and Technology Center, Robert Bosch LLC, Palo Alto, CA, USA","Research and Technology Center, Robert Bosch LLC, Palo Alto, CA, USA","384 Santa Trinita Ave, Sunnyvale, CA 94085, USA",37.38200120,-121.99951160,edu, eecc4466056761ba6d4909cfd7928de90af140d7,Dense and Sparse Labeling With Multidimensional Features for Saliency Detection,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, ee2217f9d22d6a18aaf97f05768035c38305d1fa,Detection of facial parts via deformable part model using part annotation,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, ee65cee5151928c63d3ef36fcbb582fabb2b6d2c,Structure-Aware Slow Feature Analysis for Age Estimation,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +eec6c05595cb4d3172fffcd2d2c8fe4358cf52f6,LS-GSNO and CWSNO Enhancement Processes Using PCA Algorithm with LOOCV of R-SM Technique for Effective Face Recognition Approach,India,India,India,20.59368400,78.96288000,edu, +ee46e391288dd3bc3e71cb47715a83dacb9d2907,Face expression recognition using integrated approach of Local Directional Number and Local Tetra Pattern,"Nesamony Memorial Christian College, Marthandam - 629165, Tamil Nadu, India","Nesamony Memorial Christian College, Marthandam - 629165, Tamil Nadu, India","Road, Marthandam, Tamil Nadu 629165, India",8.30815940,77.22123530,edu, eeaeca3a601d65d2d978bf3da43ab42fa5e08ed2,Fisher discrimination sparse learning based on graph embedding for image classification,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, +ee15b67b606ff49cd17467b062c11441e3b2dd70,Deep Residual Feature Learning for Action Prediction,China,China,China,35.86166000,104.19539700,edu, ee56823f2f00c8c773e4ebc725ca57d2f9242947,Modest face recognition,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, +ee5fe44871f5e36998a2fdfb20a511374cdd3877,Image synthesis for sparse representation based multi-pose face recognition,China,China,China,35.86166000,104.19539700,edu, eef725f4130ee326954e84e5f4ddf487da63c94e,Towards public events image content understanding,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, ee82b4ecfc16070177fb78b8befc95121ff35419,Object Recognition from very few Training Examples for Enhancing Bicycle Maps,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, be5975d5ac261f6224ad43e78d0f14bf17c3c941,Downsampling sparse representation and discriminant information aided occluded face recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +bec0c33d330385d73a5b6a05ad642d6954a6d632,"Ranking, clustering and fusing the normalized LBP temporal facial features for face recognition in video sequences",India,India,India,20.59368400,78.96288000,edu, bef4df99e1dc6f696f9b3732ab6bac8e85d3fb3c,A multi-label convolutional neural network approach to cross-domain action unit detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, be02c2ea2b54d8fa30e2528f91a801ecf9f2185c,Multiple collaborative representations for face recognition,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, +bea1ffedb87d7b0eb9cd4397b334b204fa450a84,Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, bed8b4177974b8d7c3cbdb2011e8db5a3dd3b4cd,Object-Location-Aware Hashing for Multi-Label Image Retrieval via Automatic Mask Learning,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +bed87f5eb70fd6dba86fce27562a7e4cb804cb66,Real-time combustion state identification via image processing: A dynamic data-driven approach,Pennsylvania State University,Pennsylvania State University,,,,edu, beaac021fa41904ad8247936bccdc7ea17ee9f53,Alignment of face images based on SIFT feature,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, be66c2638b86964cbd67d66a8a6bc8346a06fad8,Face Recognition for Intelligent Robot Safety Verification System,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, be213d0e9e7c41c0783f3efa2fddb07d0efebcb4,Improving Residual Block for Semantic Image Segmentation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -1361,19 +1902,24 @@ beae35eb5b2c7f63dfa9115f07b5ba0319709951,Discriminative 3D morphable model fitti be5c16a3db2efd50ce361bda76837c019eaf40ab,Automatic Annotation of Object Instances by Region-Based Recurrent Neural Networks,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, be632b206f1cd38eab0c01c5f2004d1e8fc72880,Gradual training of cascaded shape regression for facial landmark localization and pose estimation,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, bef6449f2c508324774316e2989d58b1612fa49a,Super-resolution for human faces based on sequential images and learnt prior,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +be9f60ec249bc57ee9d337060fb20bdb8a0729e7,Pupil centre coordinates detection using the circular Hough transform technique,Romania,Romania,Romania,45.94316100,24.96676000,edu, b55e70df03d9b80c91446a97957bc95772dcc45b,MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis,"Siren Solutions, Dublin, Ireland","Siren Solutions, Dublin, Ireland","Dublin, Ireland",53.34980530,-6.26030970,company, b5f851fa4e4392c0a80fb04dcbaa86a29cc7f27a,Pedestrian detection with high resolution inertial measurement unit,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +b58852921f43412f5ed1616135270572b5862107,Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies,"LEAR Project-Team, Inria Grenoble-Rhône-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France","LEAR Project-Team, Inria Grenoble-Rhône-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France","655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France",45.21788600,5.80736900,edu, b50edfea790f86373407a964b4255bf8e436d377,Group emotion recognition with individual facial emotion CNNs and global image based CNNs,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, b502931168ad9cf1dd08721fa6c0980c24b34c03,BundleNet: Learning with Noisy Label via Sample Correlations,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, b5f3b0f45cf7f462a9c463a941e34e102a029506,From individual to group-level emotion recognition: EmotiW 5.0,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, b51d11fa400d66b9f9d903a60c4ebe03fd77c8f2,Proposal and implementation of a novel scheme for image and emotion recognition using Hadoop,Amity University Uttar Pradesh,Amity University Uttar Pradesh,"Amity University, Noida, Greater Noida Expressway, Noida Special Economic Zone, Bakhtawarpur, Ghaziabad, Uttar Pradesh, 201304, India",28.54322285,77.33274830,edu, b55914fe572bd2449234eb05c300b32ad94e97d8,Person re-identification using multiple features fusion,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, b50b067cbaca828515935f5c9f11d4a64ff3dfaf,Targeted impersonation as a tool for the detection of biometric system vulnerabilities,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +b5b7f9cfa8f0ddabc850634912cdcd0ae6a79f62,Person re-identification using color enhancing feature,"RIKEN, Kobe, Japan","RIKEN, 7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan","7 Chome-1-26 Minatojima Minamimachi, Chuo Ward, Kobe, Hyōgo Prefecture 650-0047, Japan",34.65339370,135.22071050,company, b5b50d3d043637d4984987c5e67b8b3daa3019e4,Cross datasets vegetation detection with spatial prior and local context,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, +b54ed594267ead88b99bed3230e0453f54d00873,Human Recognition by Appearance and Gait,Russia,Russia,Russia,61.52401000,105.31875600,edu, b5a03ac5125ea25a9aab05577a382c740420ee47,The improved spatial histogram features and integrated system for vehicle detection,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, b5690409be6c4e98bd37181d41121adfef218537,Improving image clustering: An unsupervised feature weight learning framework,IBM China Research Laboratory,"IBM China Research Laboratory, Beijing, China","Beijing, China",39.90419990,116.40739630,company, b527c241e2fbd88b8ba1617f3b04e21b9c8ea832,Facial pose estimation using a symmetrical feature model,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, b5bda4e1374acc7414107cde529ad8b3263fae4b,Online learning design of an image-based facial expression recognition system,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, +b54200cc65046e1d29329bded3eaa741f45063e4,Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging,"RIKEN Center for AIP, Tokyo, Japan","RIKEN Center for AIP, Tokyo, Japan","Japan, 〒103-0027 Tokyo, Chūō, Nihonbashi, 1 Chome−4−1 日本橋一丁目三井ビルディング 15階",35.68253370,139.77463210,edu, b5d7b34821c09e158db7ae61b8aa628af357c9e0,Eye Location using Hierarchical Classifier,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, b5f79df712ad535d88ae784a617a30c02e0551ca,Locating Facial Landmarks Using Probabilistic Random Forest,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, b5f9180666924a3215ab0b1faf712e70b353444d,Facial expression synthesis with direction field preservation based mesh deformation and lighting fitting based wrinkle mapping,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, @@ -1383,23 +1929,33 @@ b503793943a17d2f569685cd17e86b5b4fffe3fd,How popular CNNs perform in real applic b58f3fb5bd3e36990a7c6a2f8cbb67edeb2ae764,Person Re-Identification by Optimally Organizing Multiple Similarity Measures,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu, b569166b4c67927c7e139350416b60e127a202ea,Spectral Embedded Hashing for Scalable Image Retrieval,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 29122f1861339307f586ef36d9e302c09098bd3f,Adaptive convolution local and global learning for class-level joint representation of face recognition with single sample per person,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +297de30f507b32f9e692d1eb10859df4958867d5,Joint vanishing point extraction and tracking,"Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland","Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu, 298c2be98370de8af538c06c957ce35d00e93af8,Prototype-based class-specific nonlinear subspace learning for large-scale face verification,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +29acb73f1aec78996d77eede7a7b72e892be9a84,Multitarget Tracking Using Hough Forest Random Field,China,China,China,35.86166000,104.19539700,edu, 29a23b9bf42a862679ccf5fcbf7607f13b15ad9b,Multi-scale region candidate combination for action recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 29c721f628803b54bbc0eacd27e60d94772cc2e4,Learning Hierarchical Semantic Description Via Mixed-Norm Regularization for Image Understanding,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2911782a45e76936ade94216c1213d3d119cf4c1,A scheduling algorithm in the randomly heterogeneous multi-core processor,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, 291b227b9ced8468a53870fc382ed13f5cb807bb,Learning Personalized Models for Facial Expression Analysis and Gesture Recognition,"TeV, Fondazione Bruno Kessler, Trento, Italy","TeV, Fondazione Bruno Kessler, Trento, Italy","Trento, Province of Trento, Italy",46.07477930,11.12174860,edu, 29a5d38390857e234c111f8bb787724c08f39110,Statistical appearance models for automatic pose invariant face recognition,TU Berlin,TU Berlin,"Franklinstraße 28-29, 10587 Berlin, Germany",52.51806410,13.32504250,edu,"Franklinstr. 28/29, 10587, Germany" +291ce7be8daa99848bf13c32b237ad823d5738e9,Compressed projections for localization of landmarks in the eye region,Romania,Romania,Romania,45.94316100,24.96676000,edu, 29875d51da4063707a5e16a90493c69be6fcc006,UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 299a7614b9f42fc292c74fb64f14940835e36866,Gait recognition by dynamic cues,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +293c4f086152ae9d635ab1eb84b72f44cb57d129,Person re-identification via person DPM based partition,China,China,China,35.86166000,104.19539700,edu, +29fade91a56b540f33c61da32a114adc8c08c447,Multi-part-detector for human detection,China,China,China,35.86166000,104.19539700,edu, +29aa9c557a46ad214a4236143d93072ab018841e,L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm,China,China,China,35.86166000,104.19539700,edu, 29d83a055041b148f7e888b0c6f51abda6b06ad1,Evaluation of Boosting-SVM and SRM-SVM cascade classifiers in laser and vision-based pedestrian detection,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu, 29f298dd5f806c99951cb434834bc8dcc765df18,Computationally efficient template-based face recognition,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 29895e2b4d15c22a627d23be2e25bb5f6317fba9,CYC based query expansion framework for effective image retrieval,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, +29fc2a8c6283543fd18d758b5079530f7316bd68,Recent advances on multicue object tracking: a survey,India,India,India,20.59368400,78.96288000,edu, +2942a3bac393e0d8fd707f5d4fdc83d91ee63360,Pedestrian detection using two-stage sparse coding algorithm,China,China,China,35.86166000,104.19539700,edu, +295c44af9e9dc7d6bb7247f567f36001b8f6ad7b,A scalability prediction approach for multi-threaded applications on manycore processors,China,China,China,35.86166000,104.19539700,edu, 2983cf95743be82671a71528004036bd19172712,Asymmetric Binary Coding for Image Search,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 29a9e9b5926e65512c25c845cceba42fc1be2958,Facial expression recognition from image sequences using optimized feature selection,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, 29ce15f6520d7427cf1c0cce62e49fca0f40c19d,Multimodal Deep Learning using Images and Text for Information Graphic Classification,Villanova University,Villanova University,"Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA",40.03677740,-75.34202332,edu, 295bc82821cfde872a8c1baeec8594f3bdb94ae4,Structured Weak Semantic Space Construction for Visual Categorization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 290fb91615adc208ff79764f04eabc74be36936c,Predicting Personalized Emotion Perceptions of Social Images,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 299d260138692a0affe8ec0b8cc0ef4a6474e6a2,Performance analysis for gait in camera networks,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +29fd98f096fc9d507cd5ee7d692600b1feaf7ed1,Exploring Multimodal Visual Features for Continuous Affect Recognition,China,China,China,35.86166000,104.19539700,edu, 29401a5ad840cfa2c525003815149d62399e91d1,Person Reidentification by Minimum Classification Error-Based KISS Metric Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2961e14c327341d22d5f266a6872aa174add8ac4,Web Image Re-Ranking UsingQuery-Specific Semantic Signatures,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 29cb1e90d1e08f0990925c8d4e8d00fa5fa49100,Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -1407,7 +1963,11 @@ b569166b4c67927c7e139350416b60e127a202ea,Spectral Embedded Hashing for Scalable 292e1c88d43a77dbe5c610f4f611cfdb6d3212b6,"Multimodal coordination of facial action, head rotation, and eye motion during spontaneous smiles",Pittsburgh University,"Pittsburgh Univ., PA, USA","4200 Fifth Ave, Pittsburgh, PA 15260, USA",40.44435330,-79.96083500,edu, 293d69d042fe9bc4fea256c61915978ddaf7cc92,Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance,Guangzhou University,Guangzhou University,"广州大学, 大学城中环西路, 广州大学城, 南村镇, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.04436505,113.36668458,edu, bbe3b83d2429a25459cc8114a1bad16a09d42b86,Ultra-Low Power Gaze Tracking for Virtual Reality,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, +bb4ca5831eb8d913eb3583c9907137a9cdac0599,Unsupervised domain adaptation of virtual and real worlds for pedestrian detection,"CVC and C. Sc. Dpt. UAB, Barcelona, Spain","CVC and C. Sc. Dpt. UAB, Barcelona, Spain","Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Barcelona, Spain",41.50192550,2.10485380,edu, +bb1b1002210de5f46102036502ee2732a8050174,Landmark recognition with compact BoW histogram and ensemble ELM,A*STAR,"I2R, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, bb0dc5b3da817a13795c11bcb4b7c80f2414f077,Evaluating private vs. shared last-level caches for energy efficiency in asymmetric multi-cores,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +bb6548b43c737dca642298c46ec4648a403e1b11,A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes,TU Dortmund University,"Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany","Emil-Figge-Straße 50, 44227 Dortmund, Germany",51.49219020,7.41413620,edu, +bb83d5c7c17832d1eef14aa5d303d9dd65748956,Predicting student engagement in classrooms using facial behavioral cues,"IIIT Bangalore, India","IIIT Bangalore, India","26/C, Hosur Rd, Electronics City Phase 1, Electronic City, Bengaluru, Karnataka 560100, India",12.84475120,77.66323170,edu, bb3698df3b4f40c0b7cc523d26ffb8c5276d5a1c,"An improved approach for face detection using superpixels, moment-based matching, and isosceles triangle matching",National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, bbe6cc7adc6b3ee697c673557abbed5d876cdfaa,Weighted Patches Based Face Super-Resolution Via Adaboost,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, bb4be8e24d7b8ed56d81edec435b7b59bad96214,Localized Multifeature Metric Learning for Image-Set-Based Face Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -1416,29 +1976,44 @@ bbfd178e0c92ac547f86aedfcc439741a1a089bb,Getting to Know Your Robot Customers: A bb8c5cff40479da65eb62b93bb11e6cda8efab14,Improving Periocular Recognition by Explicit Attention to Critical Regions in Deep Neural Network,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, bb88f76cc6e86f5db9e5e1dcbdf727cc0eb8030d,Face recognition based on error detection under partial occlusion,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, bb94a76badb69fd3d11de69f7a09518eca36ca5e,Occlusion handling for online visual tracking using labeled random set filters,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, +bbb44958216281607c282427f3001f7bc36e2385,Motion instability based unsupervised online abnormal behaviors detection,"Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China","Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China","Shanghai, China",31.23039040,121.47370210,gov, bbab98fe736523919d17661055756a0fe6fe4e8d,Repeated exposure to vicarious pain alters electrocortical processing of pain expressions,University of Northern British Columbia,University of Northern British Columbia,"UNBC, Campus Ring Road, College Heights, Prince George, Regional District of Fraser-Fort George, British Columbia, V2M 5K7, Canada",53.89256620,-122.81471592,edu, bb85ce38e114489fca36a4c5ab09a500f04edee4,Unsupervised and semi-supervised extreme learning machine with wavelet kernel for high dimensional data,China University of Mining and Technology,China University of Mining and Technology,"China University of Mining and Technology, 1号, 大学路, 泉山区 (Quanshan), 徐州市 / Xuzhou, 江苏省, 221116, 中国",34.21525380,117.13985410,edu, +bb5855056f9a7e4c8f945bd965526302fb5db254,Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016,"Harvard Medical School and Brigham and Women's Hospital, Boston, USA","Harvard Medical School and Brigham and Women's Hospital, Boston, USA","75 Francis St, Boston, MA 02115, USA",42.33592480,-71.10669450,edu, bb30cc05068067fc33d34930283bfcd9ad9b411f,Incremental zero-shot learning based on attributes for image classification,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, bbc47f421ab161f22f2699ee7bbb7fc8aec1cb7b,Constrained versus unconstrained learning in generalized recurrent network for image processing,ThyssenKrupp Elevator Americas,ThyssenKrupp Elevator Americas,"4511 N Himes Ave, Tampa, FL 33614, USA",27.98411770,-82.50021990,company, bb9c9020d4139eb7961c209eaf9776fa09af31a6,Automatic phonemic segmentation using the Bayesian information criterion with generalised Gamma priors,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, bb774b8ae76ec0818f6eebe10eee17ed30d7079b,Hardware architecture and optimization of sliding window based pedestrian detection on FPGA for high resolution images by varying local features,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +bbdd99189aee252adcb0ae80d094e2858c645a78,Multi-ethnical Chinese facial characterization and analysis,China,China,China,35.86166000,104.19539700,edu, bb34bcf28021a658ce89d65d229df76d4dc620c6,Computer Models for Facial Beauty Analysis,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +bb0f339103317259c76c9a480067afea0273e056,Camera to map alignment for accurate low-cost lane-level scene interpretation,"Honda Research Institute (HRI) Europe, Carl-Legien-Str. 30, 63073 Offenbach, Germany","Honda Research Institute (HRI) Europe, Carl-Legien-Str. 30, 63073 Offenbach, Germany","Carl-Legien-Straße 30, 63073 Offenbach am Main, Germany",50.08472490,8.84064370,edu, +bb80f32bebfa25c5999a43af19eae7cea8c183a6,Hand target extraction from infrared images with descriptor based on pixel temporal characteristics,China,China,China,35.86166000,104.19539700,edu, bbf62974ce56f58d58c43b6ceb692ef00082333c,Online Evolution for a High-Speed Image Recognition System Implemented On a Virtex-II Pro FPGA,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, bb0ae3c0bffb07e5980e48e35fe24b71a13855e0,Joint probabilistic modeling and inference of intersection structure,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, f0619ba7eacdfcc25d0487fb9c3c00d143633500,Partial matching of interpose 3D facial data for face recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, f0e2dc3a32a422c3025ab3894316ca57a250c8b1,Face Detection by Learned Affine Correspondences,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +f04a3495b4d6caf6ead8a39a2b526b61f411ebd0,A preliminary study of CNNs for iris and periocular verification in the visible spectrum,India,India,India,20.59368400,78.96288000,edu, f0d6c3a5dc85b84863987edc5e62ea8e5549d412,Locality based discriminative measure for multiple-shot person re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, f07fc87ebee3d6644412cd14fe6dcdea7c7a9f26,LBP Encoding Schemes Jointly Utilizing the Information of Current Bit and Other LBP Bits,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, f03a82fd4a039c1b94a0e8719284a777f776fb22,Video content analysis using convolutional neural networks,Jordan University of Science and Technology,Jordan University of Science and Technology,"Jordan University of Science and Technology, شارع الأردن, إربد‎, إربد, الأردن",32.49566485,35.99160717,edu, f0a9d69028edd1a39147848ad1116ca308d7491e,Case-Based Facial Action Units Recognition Using Interactive Genetic Algorithm,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, f011882fbfbc0a2436e01c98c1cf517355aeb20a,An enhanced biometric score fusion scheme based on the AdaBoost algorithm,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu, f09bcd575c8bea73dcfb413840fb14d6a4caa4a8,Robust multi-object tracking using confident detections and safe tracklets,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, +f0acbc128407606413df764cfea7350e8842c704,Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification,China,China,China,35.86166000,104.19539700,edu, +f04d1648357dca8418f2cab80eb5c063c4abb674,A Framework for Camera-Based Real-Time Lane and Road Surface Marking Detection and Recognition,India,India,India,20.59368400,78.96288000,edu, +f08cb47cd91a83ea849f2dfe2682529f3bb95aa9,Joint boosting of histogram like features for the generic recognition of object classes and subclasses,"Computer and Automation Research Institute H-1111, Kende u. 13-17, Budapest, Hungary","Computer and Automation Research Institute H-1111, Kende u. 13-17, Budapest, Hungary","Budapest, Kende u. 13, 1111 Hungary",47.47828280,19.05210750,edu, +f0ba5c89094b15469f95fd2a05a46b68b8faf1ca,Recognizing images across age progressions: A comprehensive review,India,India,India,20.59368400,78.96288000,edu, +f0fa7d7764e4934f21c348341d79b93bbeb6e6cb,Supervised Local High-Order Differential Channel Feature Learning for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu, f0365c525bba4561d43e16f3fc79a898fa8294b2,Evaluation of spatio-temporal regional features For 3D face analysis,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, f084867370c76854cc7f3474c9a1f3e9bccbdb7d,Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +f08e3f5fa4dc2a07e7024911fce7d01d87962752,Stride History Image: A New Feature Representation for Pedestrian Identification,China,China,China,35.86166000,104.19539700,edu, f09d5b6433f63d7403df5650893b78cdcf7319b3,Pixel selection in a face image based on discriminant features for face recognition,Kookmin University,Kookmin University,"국민대학교앞, 정릉로, 정릉2동, 정릉동, 성북구, 서울특별시, 02708, 대한민국",37.61075540,126.99466350,edu, f0075b258d5ad3a332a59a5aca5852606b80c420,A 3-D assisted generative model for facial texture super-resolution,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +f090e821921715521eff2ff474dfa65449114df0,Measuring changes in face appearance through aging,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, f03160078980321466e57fe4c5adba1f2c87ac61,Face Recognition based on scale invariant feature transform and Spatial Pyramid Representation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +f0e2db6bdede49c7e73d1bd33a77f90de7cfd00c,From still image to video-based face recognition: an experimental analysis,Finland,Finland,Finland,61.92411000,25.74815110,edu, f095b5770f0ff13ba9670e3d480743c5e9ad1036,Fast Algorithms for Fitting Active Appearance Models to Unconstrained Images,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +f08b25b904aac24b84e35ee7acbe208a7775f27b,Changes in Usage of an Indoor Public Space: Analysis of One Year of Person Tracking,"Advanced Telecommunication Research Institute International, Kyoto, Japan","Advanced Telecommunication Research Institute International, Kyoto, Japan","Kyoto, Kyoto Prefecture, Japan",35.01163630,135.76802940,edu, f080cca9bbe998ed13d42f20c316b50b037e3f35,An automatic target recognition algorithm for SAR image based on improved convolution neural network,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, f0dac9a55443aa39fd9832bdff202a579b835e88,Social Interaction Assistant: A Person-Centered Approach to Enrich Social Interactions for Individuals With Visual Impairments,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, f0243850576e364368c3f743012e78165d8bf249,Understanding and Generating Ultrasound Image Description,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, @@ -1447,35 +2022,48 @@ f0cc9d73b1e5d7f91f43071950bfda619b1443bf,On the Annotation of Web Videos by Effi 52df9da94f8b76ec130d5128222ef7fd76304438,Pedestrian detection based on multi-vision features fusion,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, 528b49d4cdc30752c40ec07d1a9e9b0801933feb,Topology preserving dictionary learning for pattern classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 52e270ca8f5b53eabfe00a21850a17b5cc10f6d5,A comparison study of feature spaces and classification methods for facial expression recognition,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +52f3b79d813a1fa68d8e8b34705f72cc089457a9,A trajectory-based approach for object detection from video,China,China,China,35.86166000,104.19539700,edu, +520e8b71c39dea06b296018a60bcca2dae53f456,Transactions on Computational Science XXX,"Sardina Systems, Tallinn, Estonia","Sardina Systems, Tallinn, Estonia","Tallinn, Estonia",59.43696080,24.75357470,edu, +52274e5d9dc1d3501ee43cf741b835012aae574f,Laplacian sparse dictionary learning for image classification based on sparse representation,China,China,China,35.86166000,104.19539700,edu, 527087539d468976684031414d244c75b35fe1b1,Scene correlation learning by event co-occurrence modeling for camera network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 52e84616b177419b457969875474582feb28f8ec,Improving face recognition with genealogical and contextual data,University of Canterbury,University of Canterbury,"University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa",-43.52405280,172.58030625,edu, 52b102620fff029b80b3193bec147fe6afd6f42e,Benchmark of a large scale database for facial beauty prediction,Wuyi University,"Wuyi University, Jiangmen, China","Pengjiang, Jiangmen, China, 529030",22.59924800,113.08663400,edu, 5298e3ddb8ca2f40b67aad2507a76cda71bea6ba,A new design of multiple classifier system and its application to the classification of time series data,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +52d158c08e269b62cdc7c0cbe339206d20de370d,Combing Haar and MBLBP features for face detection using multi-exit asymmetric boosting,"College of Engineering and Technology, Arab Academy of Science and Technology & maritime transport, Egypt","College of Engineering and Technology, Arab Academy of Science and Technology & maritime transport, Egypt","Sheraton Al Matar, Qism El-Nozha, Cairo Governorate, Egypt",30.09637250,31.37368850,edu, 52db20e91a46e68d7feda4b9d2755312f423b5b2,Intelligent Computing Methodologies,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 52c71d20dced998a607c466241dfc2eb88183de8,Identification of the optimal emotion recognition algorithm using physiological signals,Chungnam National University,Chungnam National University,"충남대학교, 대덕사이언스길 2코스, 온천2동, 온천동, 유성구, 대전, 34140, 대한민국",36.37029045,127.34780458,edu, 5217ab9b723158b3ba2235e807d165e72fd33007,A novel facial expression database construction method based on web images,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 520ddfa86afcdd99a7c6819473cf5fd80c2bcc62,Efficient Tensor-Based 2D+3D Face Verification,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 52cc64fe1e3c93311ede4bfddb71b99fd2eb5c37,Human Detection in Infrared Imagery using Gradient and Texture Features and Super-pixel Segmentation,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +529a044e1d54e5b97085b67c740709485b60bec5,A study on Deep Neural Networks framework,China,China,China,35.86166000,104.19539700,edu, 5236d6d60cdc0fbdb3caf78bccecca5d92b3d67f,Color Local Texture Features for Color Face Recognition,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 522ef585f181ecf7ce926fa159edf44fbef55ade,Gesture Intention Understanding Based on Depth and RGB Data*,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 5213549200bccec57232fc3ff788ddf1043af7b3,Displaced dynamic expression regression for real-time facial tracking and animation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 527d2a15596cd2ee6d0a66ec47c7fd621bcef404,Multimodal expression-invariant face recognition using dual-tree complex wavelet transform,Tafresh University,Tafresh University,"دانشگاه تفرش, پاسداران, خرازان, بخش مرکزی, شهرستان تفرش, استان مرکزی, ‏ایران‎",34.68092465,50.05341352,edu, +526a4847586c5b23dff7da932a86fcf8e712bb41,Age-variation face recognition based on bayes inference,China,China,China,35.86166000,104.19539700,edu, 5226296884b3e151ce317a37f94827dbda0b9d16,Deep pair-wise similarity learning for face recognition,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 52f68dd74f2242a45dbbd1b4ec742bc090a2c2b0,Rank-1 Tensor Approximation for High-Order Association in Multi-target Tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +0f266f62b441a0826608eb722af06be176b82699,Virtual worlds and active learning for human detection,"Computer Vision Center, Bellaterra, Spain","Computer Vision Center, Bellaterra, Spain","Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain",41.50089570,2.11155300,edu, 0fcf04fda0bea5265b73c85d2cc2f7f70416537b,A Multiattribute Sparse Coding Approach for Action Recognition From a Single Unknown Viewpoint,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu, +0f57f91ab0bffdb2750cf52a9b2e4d8daf0abaa4,People re-identification and tracking from multiple cameras: A review,"Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY","Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY","Via Giovanni Amendola, 122 D/O, 70126 Bari BA, Italy",41.11259400,16.88297200,edu, +0faf441a1ef1e788fb9ccd20484b104a1fa95ee8,A brief review on techniques for recognizing images under varying poses,India,India,India,20.59368400,78.96288000,edu, 0f22b89341d162a7a0ebaa3c622d9731e5551064,Object recognition in ocean imagery using feature selection and compressive sensing,"SPAWAR Systems Center Pacific, San Diego","SPAWAR Systems Center Pacific, San Diego, California, USA","53560 Hull St, San Diego, CA 92152, USA",32.70865800,-117.24724910,mil, 0f64e26d6dd6f1c99fe2050887fac26cafe9ed60,Bridging the Gap Between Forensics and Biometric-Enabled Watchlists for e-Borders,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, +0f1d42e1296474c9211fb57604574ba0cae4380d,Face recognition based on sparse representation applied to mobile device,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, +0f3391e2229b9a3c19806ee2bbf5cca868a4f21e,Semantic context and depth-aware object proposal generation,"NICTA, Canberra","NICTA, Canberra","Canberra ACT 2601, Australia",-35.28093680,149.13000920,edu, 0f03f1bb36fc1b3ce49d777203961689456b311b,A review of recent advances in 3D ear- and expression-invariant face biometrics,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 0fa9bb6df99691957f9dc16926f5981ec76eede5,Two-Dimensional Adaptive Discriminant Analysis,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 0f53ab8b6c428127753281dd77cf94bdb889b624,Toward a more robust facial expression recognition in occluded images using randomly sampled Gabor based templates,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 0fc52c1f7a9601067cce260f8dcb7a7e796f4281,Towards a Transcription System of Sign Language Video Resources via Motion Trajectory Factorisation,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, 0f322826b609c03f0d4eea735999fd37a4cabfbf,Beyond Sliding Windows: Saliency Prior Based Random Partition for Fast Pedestrian Detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +0f1cd34e77c141e75b02ad4f5b4c2dfcbbffc05a,Adaptive Resolution Optimization and Tracklet Reliability Assessment for Efficient Multi-Object Tracking,China,China,China,35.86166000,104.19539700,edu, 0ff1da972f03085a2bbe87b88940da6201e1aaf9,Pedestrian detection and tracking using deformable part models and Kalman filtering,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, +0f5830844658e0745e6703cd08d65c033a97e96c,Dominant-completed local binary pattern for texture classification,China,China,China,35.86166000,104.19539700,edu, 0ffd230f2f1ad98a10fbc8a5cc39099922e833b6,Bidirectional visible neighborhood preserving embedding,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 0f6090015ce5b19ff5b7f58ae849668bf04fa3cd,"Location Extraction from Social Media: Geoparsing, Location Disambiguation, and Geotagging",Information Technologies Institute,Information Technologies Institute,"公益財団法人九州先端科学技術研究所, Fukuoka SRP Center Building 7F, 百道ランプ下り入り口, 早良区, 福岡市, 福岡県, 九州地方, 814-0001, 日本",33.59345390,130.35578370,edu, 0f2461a265be997c962fa562ae48378fb964b7b4,Automated big security text pruning and classification,University of Colorado at Colorado Springs,University of Colorado at Colorado Springs,"1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA",38.89646790,-104.80505940,edu, 0fdc3cbf92027cb1200f3f94927bef017d7325ae,Joint prototype and metric learning for set-to-set matching: Application to biometrics,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, -0f7e9199dad3237159e985e430dd2bf619ef2db5,Learning Social Circles in Ego-Networks Based on Multi-View Network Structure,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +0f7e9199dad3237159e985e430dd2bf619ef2db5,Learning Social Circles in Ego-Networks Based on Multi-View Network Structure,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 0fce433d7d631bba0e13ea7a8a8e2a3bfe9b5be4,A comparative study of data fusion strategies in face verification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 0f65869ddbc83ca594500a165782ad072928b456,Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, 50d337e06079496c3efde863c2ba18f6118b6c69,Rank level fusion in multibiometric systems,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, @@ -1483,58 +2071,95 @@ f0cc9d73b1e5d7f91f43071950bfda619b1443bf,On the Annotation of Web Videos by Effi 50a893a51a93c1308b506d98927fb30bb763145a,Multiplication fusion of sparse and collaborative representation for robust face recognition,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, 5039834df68600a24e7e8eefb6ba44a5124e67fc,Modular hierarchical feature learning with deep neural networks for face verification,Beijing Institute of Science and Technology Information,Beijing Institute of Science and Technology Information,"China, Beijing, Haidian, 清河四拔子",40.04332040,116.34181090,edu, 50612493253f5cea7ecf406e9a8d75382b96a83e,How do humans sketch objects?,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +5084cf08beb04ad91ef3c5649077255097d0c5d9,Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification,Nanjing University of Posts and Telecommunications,"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046",32.10574800,118.93170100,edu, 5012a2408b4df939dff96f77c456747eb15e967a,"Hybrid body representation for integrated pose recognition, localization and segmentation",Oklahoma State University,Oklahoma State University,"Walmart East Bus Stop, East Virginia Avenue, Stillwater, Payne County, Oklahoma, 74075, USA",36.12447560,-97.05004383,edu, 50e6ebf213514f4fa5397c142ce05954483f67d3,Improving the Generalization Capacity of Cascade Classifiers,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu, 509b6ce763a1a594e2370a3c4f4a14b2975cc6fd,An HOG-CT human detector with histogram-based search,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, 502d30c5eac92c7db587d85d080343fbd9bc469e,Domain Specific Learning for Newborn Face Recognition,"Indraprastha Institute of Information Technology Delhi, India","Indraprastha Institute of Information Technology Delhi, Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, +50c77ccf2bd49b60a268081bbbefa30e4d46f257,Hand shape identification using palmprint alignment based on intrinsic local affine-invariant fiducial points,Mahidol University,"Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand","Salaya, Phutthamonthon District, Nakhon Pathom 73170, Thailand",13.79727770,100.32632160,edu, +50ce3f8744c219871fbdcab1342d49d589f2626b,Adaptive Distance Metric Learning for Clustering,Arizona State University. hliu@asu.edu,Arizona State University. hliu@asu.edu,"Arizona, USA",34.04892810,-111.09373110,edu, 50f88b364e818f6051330582854f80ea5ee3df5e,Global Hashing System for Fast Image Search,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 50c5cd1f0af228beb5e19efc897e691c1493e509,Discriminative local binary pattern,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, +50db43b7eaeb427e6e3e1d945f77d86f21a03b01,Graph-Based Sparse Matrix Regression for 2D Feature Selection,China,China,China,35.86166000,104.19539700,edu, +50b548facfb728af123befabd6e3292c44f1a8c5,Sparse Matching of Random Patches for Person Re-Identification,University of Udine,"University of Udine, Italy","Università degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy",46.08107230,13.21194740,edu, +50236de1791a009dc77d7266c412469a22437b4b,"Micro-expression recognition: an updated review of current trends, challenges and solutions",Universiti Teknologi Malaysia,Universiti Teknologi Malaysia,"Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia",1.56327890,103.63821900,edu, 50759809ecb2bb6897efe1d2a7716c1d2e522246,Hashing in the zero shot framework,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +50744b8598d9a95eff73f433c9492c884b81a840,Pedestrian detection using dense LDB descriptor combined with HOG,India,India,India,20.59368400,78.96288000,edu, +50e9e9d27132654c85427e4940dd1d40e8652434,Face Recognition Using Most Discriminative Local and Global Features,China,China,China,35.86166000,104.19539700,edu, 50333790dd98c052dfafe1f9bf7bf8b4fc9530ba,Sparse concept discriminant matrix factorization for image representation,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 50f1427d24b13ac374859ef851bfe1e05355b958,Detecting bids for eye contact using a wearable camera,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +5025a2f2a2d53db48f9504be93358c3ec5261646,Dual Channel Gradient feature for person re-identification,PLA University of Science & Technology,"College of Command Information Systems, PLA University of Science & Technology, Nanjing, China","China, 双龙街60号",31.97090700,118.81289890,edu, +50b290b0b2d14a3f0f9cfd17b15d87b91d76bff1,Gender classification using spatial and temporal features,India,India,India,20.59368400,78.96288000,edu, +504bf308431785153402b7058102f6920a0d8ab3,Pedestrian detection based on improved Random Forest in natural images,Zhejiang Sci-Tech University,"College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China","Hangzhou, Zhejiang, China",30.27408400,120.15507000,edu, 503b6a490c2b24b9d2aaf642a0fdaf797a8cdb99,Patch-Based Principal Covariance Discriminative Learning for Image Set Classification,Guangzhou University,Guangzhou University,"广州大学, 大学城中环西路, 广州大学城, 南村镇, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.04436505,113.36668458,edu, +50f9170457cb0cc7f89d44917d5750ec33459ce4,Face localization and its implementation on embedded platform,India,India,India,20.59368400,78.96288000,edu, +5056a117ca092825053c517a2a52b21ccbffa949,Collaborative facial color feature learning of multiple color spaces for face recognition,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 504d2675da7a56a36386568ee668938df6d82bbe,Regularized Deep Belief Network for Image Attribute Detection,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 50f3587a6316ae59493f4c408eadefe3bbf891fe,Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, 50832083df91f83333364544b24f8af4798eca32,Head Pose Estimation in Computer Vision: A Survey,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 5078c4494a8ba13f568b6cea454cca571c7735a3,Road scene segmentation via fusing camera and lidar data,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 6b742055a664bcbd1c6a85ae6796bd15bc945367,Face recognition using localized features based on non-negative sparse coding,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, +6bc4ddacc5446553d742b4b9475820ca289fcca4,A robust loop-closure method for visual SLAM in unstructured seafloor environments,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +6b9be95acc206c63c23c931cb0e102f1060a0bcd,Augmenting Hand Animation with Three-dimensional Secondary Motion,Carnegie Mellon University and Disney Research,"Carnegie Mellon University and Disney Research, Pittsburgh","5000 Forbes Ave, Pittsburgh, PA 15213, USA",40.44280810,-79.94301280,edu, +6b7e552ca66fd3235e99115d6f072061b9ada181,Extensive Comparison of Visual Features for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, 6b0b4df3223315553c1b1d911fbe846681ab56c4,Face photo-sketch recognition using local and global texture descriptors,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, 6bda2c2ab87ce2fda3b2f7e87643835f921551a0,Camera Self-Calibration Based on Nonlinear Optimization and Applications in Surveillance Systems,Federal University of Rio Grande do Sul,"Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil","Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil",-30.03382480,-51.21882800,edu, +6b06b79ad1f1907e21380083b976b24a89a0f743,An efficient initialization method for D-KSVD algorithm for image classification,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 6b0a2f9ab9b134d66a325525ea5d90ad546fe2b7,A hybrid vision system for detecting use of mobile phones while driving,Federal University of Santa Catarina,"UFSC - Federal University of Santa Catarina / INE - CTC, Florianópolis, 88040-900, Brazil","R. Eng. Agronômico Andrei Cristian Ferreira, s/n - Trindade, Florianópolis - SC, 88040-900, Brazil",-27.60070340,-48.51917750,edu, 6b35bc911a868ef3f66c0ae44a7ebebdaa61ccd2,Learning LogDet Divergence for Ear Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +6beb699af9f5fee492455ed2632d853952df726a,Data Dreaming for Object Detection: Learning Object-Centric State Representations for Visual Imitation,Carnegie Mellon University (CMU),Carnegie Mellon University (CMU),"4400 Fifth Ave, Pittsburgh, PA 15213, USA",40.44615040,-79.95104550,edu, 6bacd4347f67ec60a69e24ed7cc0ac8073004e6f,Kinship classification based on discriminative facial patches,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +6bf88e29ac04d72297e6f8f2971c5b8579786e7f,Video-based face classification approach: A survey,China,China,China,35.86166000,104.19539700,edu, +6b78f258cbe1f34a938547eb1585e43f8fdbd200,Identifying relevant frames in weakly labeled videos for training concept detectors,DFKI and Technical University - Kaiserslautern,"DFKI and Technical University - Kaiserslautern, Kaiserslautern, Germany","Erwin-Schrödinger-Straße 1, 67663 Kaiserslautern, Germany",49.42537740,7.75554960,edu, 6b913b4b4d071b2c91a6fbc317282bf5f610a274,Subspace Procrustes Analysis,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu, +6b8febe3e726fb42530e8f9d27b412d00163d045,Sparse representation based classification by using PCA-SIFT descriptors,China,China,China,35.86166000,104.19539700,edu, 6bc96ba9680947097cdcef4a235de394c7597187,Online Vicept learning for web-scale image understanding,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 6bcd9143215bb4f1bde742fdd0d3969671231831,Patient State Recognition System for Healthcare Using Speech and Facial Expressions,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, +6b8acdb90ec9200fcdfe1cdf1d90993b8deb1c2f,Joint iris and facial recognition based on feature fusion and biomimetic pattern recognition,China,China,China,35.86166000,104.19539700,edu, 6bdca1b4ae169686da39d6f0e3ba70b3d39e0cbc,Occlusion detection and image restoration in 3D face image,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, 6b9f23d75f7f85af831e15769a33b8f8d90367d0,Automated Process for Incorporating Drivable Path into Real-Time Semantic Segmentation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 6bea00f80ee985d0e918b7a1305a267d1a230415,An Iterative Co-Saliency Framework for RGBD Images,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, +13243c5192642919d7ad1ca01a5c737e0b020bfd,Modeling the timing of cuts in automatic editing of concert videos,Finland,Finland,Finland,61.92411000,25.74815110,edu, 1345fb7700389f9d02f203b3cb25ac3594855054,Hierarchical Training for Large Scale Face Recognition with Few Samples Per Subject,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 13f4d056f6ba318074187ea5ade7f231803e2879,Privacy-Preserving Image Denoising From External Cloud Databases,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, +13fd25a18ab3faebcd6a4ab95f4cc814fcda337a,Face and mouth localization of viseme,"Universiti Teknologi MARA, Melaka, Malaysia","Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia","Jalan Lembah Kesang 1/1-2, Kampung Seri Mendapat, 77300 Merlimau, Melaka, Malaysia",2.22139640,102.45311550,edu, +136f92989e982ecf795cb27d65b48464eaec9323,Joint face alignment and segmentation via deep multi-task learning,China,China,China,35.86166000,104.19539700,edu, 136aae348c7ebc6fd9df970b0657241983075795,Semi-supervised learning based on group sparse for relative attributes,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 13564c316b729cfb516f0c8a319990ea8e69349a,Annotating images by harnessing worldwide user-tagged photos,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 13f762bbbfd0921cf8904265eb027ac99e70ba6d,Retinal recognition: Personal identification using blood vessels,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu, 138625d22b594a9301fd5d4e94b1357e0cd24a50,An one-class classification approach to detecting porn image,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, +136954b17d0931cc5aa93aa80ed91b5e7b402fcb,Multiclass Labeling of Very High-Resolution Remote Sensing Imagery by Enforcing Nonlocal Shared Constraints in Multilevel Conditional Random Fields Model,China,China,China,35.86166000,104.19539700,edu, 132fb6cfb40a82001bef31b030d0e740ebb69c26,CNN based semantic segmentation for urban traffic scenes using fisheye camera,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +135b95d67996d88e6208b6061a50262035bf3349,A practical aspect of identification and classifying of Guns based on gunshot wound patterns using gene expression programming,India,India,India,20.59368400,78.96288000,edu, 134e7b130283d64731b5698638fc96ed8f0743e9,Similarity learning based on multiple support vector data description,Soochow University,Soochow University,"苏州大学(天赐庄校区), 清荫路, 钟楼社区, 双塔街道, 姑苏区, 苏州市, 江苏省, 215001, 中国",31.30709510,120.63573987,edu, 131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8,Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 13d3b696cdbec99b2fdbb34e9d031bf8c683f112,Family Photo Recognition via Multiple Instance Learning,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 134d4eb44ea1fd0a2719dbc8ee2e41003dfa3e25,Quantitative measures of facial expression for patients with head and neck cancer,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 13e6fe2049d0089da6fc1ccf6175da6945a47fb5,A novel ray analogy for enrolment of ear biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 13b8800b6ac35e80881e369961541cb6c110aba9,An improved similarity metric based on joint Bayesian for face verification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +132f4a27b3d20e3783d854343b06d7fa3a6fd142,Wavelet moments for gait recognition represented by motion templates,China,China,China,35.86166000,104.19539700,edu, 135de89f2fcc94b7e7db7cb21097855b66c90fa8,Estimation of Pedestrian Pose and Orientation Using on-Board Camera with Histograms of Oriented Gradients Features,Institute of Industrial Science,Institute of Industrial Science,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, 13fad0ab765c8f92c2c7ff05eecbb164a3e0e56d,QuickFind: Fast and contact-free object detection using a depth sensor,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, +131c5a0367cc617c67e6e45586d7fd39b7408e3d,An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its Application to a Real-Time Alerting System,India,India,India,20.59368400,78.96288000,edu, 8f1c1f1467cc829d273618f63da65d01dbf1f972,Face anti-spoofing via deep local binary patterns,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +8fddb940c70261a335831cb7aa11b0102f3d901e,Face recognition based on convolutional neural network,Munzur University,"Faculty of Computer Engineering, Munzur University, Tunceli, Turkey","Aktuluk Mahallesi, Merkez, Üniversite Yerleşkesi, 62000 Tunceli Merkez/Tunceli, Turkey",39.04580130,39.51744540,edu, 8f99f7ccb85af6d4b9e015a9b215c529126e7844,Face image-based age and gender estimation with consideration of ethnic difference,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 8f202da799b15a80cc46919b4eaa0c67b088751d,Semantic segmentation of urban scenes with a location prior map using lidar measurements,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +8f3786e2064a103472ec227a03759bb5056aaffc,Multiple object tracking based on modified algorithm of GMMCP tracker,National University of Defense,"College of Machatronics Engineering, National University of Defense, Chang Sha, China","Changsha, Hunan, China",28.22820900,112.93881400,edu, 8f73af52d87c94d0bd43242462fd68d974eda331,Improving faces/non-faces discrimination in video sequences by using a local spatio-temporal representation,"Advanced Technologies Application Center, Havana, Cuba","Advanced Technologies Application Center, Siboney Playa, Havana, Cuba","Playa, Havana, Cuba",23.08862140,-82.44819440,edu, 8ffea367dbab7ec446a202f39120f5b3769c7f91,Learning discriminative supplementary features to attributes for novel-category classification,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 8f992ed6686710164005c20ab16cef6c6ad8d0ea,Half-Quadratic-Based Iterative Minimization for Robust Sparse Representation,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +8fde6363ee7e0a849f323a40fb2029da74056370,"Gender, Makeup, Age and Illumination Prediction from Faces Using Ensemble Modeling",India,India,India,20.59368400,78.96288000,edu, +8f91464e6d7a38940360dc8f3efcfed58a02d9a4,Occlusion detection in visual scene using histogram of oriented gradients,Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu, 8fc36452a49cb0fd43d986da56f84b375a05b4c1,Crowdsourcing facial expressions using popular gameplay,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 8f20c3d2389bd6729bdb1cb5831d3ff0d7ac2c65,Extraction and alignment of facial regions for 3D facial image-based recognition,Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu, 8f4c766a70cc0d011c9dac335f1d4305ede07f6b,Deep class-aware image denoising,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, +8f828dc79d32a4a7b3d3791b32718564e104357a,Ensemble based extreme learning machine for cross-modality face matching,"China National Institute of Standardization, Beijing, China","China National Institute of Standardization, Beijing, China","China, Beijing, Haidian, Xueyuan Rd, 学院路",39.97579300,116.35063800,edu, +8fb0ae4fa49de45bbd51f97571732c1827516617,Coupled analysis-synthesis dictionary learning for person re-identification,"Academy of Broadcasting Science, Beijing, China","Academy of Broadcasting Science, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, +8f52a66deec46ddf25e93a83e48784790d5b59fd,Convolutional neural networks and feature fusion for bimodal emotion recognition on the emotiW 2016 challenge,China,China,China,35.86166000,104.19539700,edu, 8fe2514fad1267276b8cff850d0c9e073ea6797b,Direction based Graphical Model for Face Sketch Synthesis,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 8fb2ec3bbd862f680be05ef348b595e142463524,Multi-View Active Shape Model with Robust Parameter Estimation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +8ffc2cf0403d0c760708aef41a5868c2c464cea2,Illumination invariant face recognition system,"Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey","Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey","Ardıçlı Mahallesi, İsmetpaşa Cad., 42250 Selçuklu/Konya, Turkey",38.02953300,32.50605100,edu, 8fee7b38358815e443f8316fa18768d76dba12e3,Robust nonnegative matrix factorization using L21-norm,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 8f74743ab435469ce35c17b07a97a19da1b77955,Structure maps based pedestrian detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 8fe5feeaa72eddc62e7e65665c98e5cb0acffa87,Hierarchical committee of deep convolutional neural networks for robust facial expression recognition,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, @@ -1543,6 +2168,7 @@ f0cc9d73b1e5d7f91f43071950bfda619b1443bf,On the Annotation of Web Videos by Effi 8ff0c2020bf42b97d82a275c98a923a0df3bce33,SibNet: Sibling Convolutional Encoder for Video Captioning,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu, 8ff80024836dfee9a6a9a38586aed3e3df1d7a43,Multiple level visual semantic fusion method for image re-ranking,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 8f93fa329e4e0daa0303f13c7ab6717c5615304f,Correntropy induced metric based graph regularized non-negative matrix factorization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +8f400ade331e7e75ace804726aa2bb397980415f,A novel approach of low-light image used for face recognition,Heilongjiang University,"Heilongjiang University, Harbin, China","74 Xuefu Rd, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China",45.70770000,126.62397700,edu, c915bb79e1fed83938dfc8a781dee6d24742c61e,A network shaped cascade classifier based on potential functions for pedestrian detection,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, c9018677ec5bf65d92fd9fefdbd32c4e292dc2e4,A fast adaptive spatio-temporal 3D feature for video-based person re-identification,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, c914d2ba06ec3fd1baa0010dcc4d16c7c34fc225,Engineering Applications of Neural Networks,Democritus University of Thrace,Democritus University of Thrace,"Δημοκρίτειο Πανεπιστήμιο Θράκης, Μάκρη - Αλεξανδρούπολη, Αλεξανδρούπολη, Δήμος Αλεξανδρούπολης, Περιφερειακή Ενότητα Έβρου, Περιφέρεια Ανατολικής Μακεδονίας και Θράκης, Μακεδονία - Θράκη, 68100, Ελλάδα",40.84941785,25.83444939,edu, @@ -1550,6 +2176,7 @@ c9d272cc836ea5bbe946718d2a4f8b3d57a6c811,CS-3DLBP and geometry based person inde c93ac931336befe341dc3eacfbf9695cca54f8f4,3D facial model reconstruction on mobile devices using cloud,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, c9d5d8d30bee2a727ee2deaa38020c3a867d24d7,Efficient scarf detection prior to face recognition,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, c980443ca996402de4b5e5424f872acda0368831,Capturing appearance variation in active appearance models,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +c908bd540a02af5e1cf2d556ed2a24fa7bdf2a67,Object Detection Using a Single Extended Feature Map,"Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 309, 3nd floor, 4nd research center, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-gun, Daegu, 711-873, Republic of Korea","Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 309, 3nd floor, 4nd research center, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-gun, Daegu, 711-873, Republic of Korea","South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, c9cb1f19ce918a038880f40d616969d7821b1407,Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, c92be69c7b174c1fe6eeae6d7e6f6535420f48ac,Global face reconstruction for face hallucination using orthogonal canonical correlation analysis,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, c907104680ad53bdc673f2648d713e4d26335825,Dataset and Metrics for Adult Age-Progression Evaluation,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu, @@ -1558,17 +2185,24 @@ c9a91d1200ac7547e49a665e3b2b51426eeae27d,Glimpse: A Programmable Early-Discard C c97c4d390b8e53c594483cf9533d80aaeb8c9df1,Learning-based image representation and method for face recognition,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, c9cd6be6bf5f09b245b707aed6f6cb51dd688da3,Wearable Computing,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, c9b7449e6073135508796a4cbc9bbaaa94be5b4b,Interactive 3D Segmentation of Rock-Art by Enhanced Depth Maps and Gradient Preserving Regularization,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu, +c9fddfbb8fd4b83421cddfc1495dfb4bb1f9ddbd,A massively parallel algorithm for local binary pattern based face recognition,Finland,Finland,Finland,61.92411000,25.74815110,edu, c9832564d5dc601113b4d80e5a05ede6fee9f7dd,Pre-trained classifiers with One Shot Similarity for context aware face verification and identification,"TCS Research, New Delhi, India","TCS Research, New Delhi, India","23, Prithviraj Rd, Tughlak Road Area, New Delhi, Delhi 110003, India",28.60208600,77.22407600,company, +c9fe5df03f4de042cad42e11560304b886161a3c,EEG-based classification of emotions using empirical mode decomposition and autoregressive model,China,China,China,35.86166000,104.19539700,edu, c9da8cf341ce0dc02cdc765fc350e181d7fb3f53,Facial expression recognition with deep learning,South China Normal University,South China Normal University,"华师, 五山路, 华南理工大学南新村, 天河区, 广州市, 广东省, 510630, 中国",23.14319700,113.34009651,edu, c9b36584dcfd69ef8a765719d799090fcf0a96aa,A robust spatio-temporal scheme for dynamic 3D facial expression retrieval,Democritus University of Thrace,Democritus University of Thrace,"Δημοκρίτειο Πανεπιστήμιο Θράκης, Μάκρη - Αλεξανδρούπολη, Αλεξανδρούπολη, Δήμος Αλεξανδρούπολης, Περιφερειακή Ενότητα Έβρου, Περιφέρεια Ανατολικής Μακεδονίας και Θράκης, Μακεδονία - Θράκη, 68100, Ελλάδα",40.84941785,25.83444939,edu, +c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d,Water region detection supporting ship identification in port surveillance,"ViNotion B.V., Eindhoven, The Netherlands","ViNotion B.V., Eindhoven, The Netherlands","Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands",51.44683540,5.52236030,edu, c8bc8c99acd009e4d27ddd8d9a6e0b899d48543e,Confidence fusion based emotion recognition of multiple persons for human-robot interaction,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, c85826857ce3d08c5b3aca40ccab4ad57f2aa794,Improving performance of PNN using clustered ICs for gender classification,"National Institute of Technology, Rourkela",National Institute of Technology Rourkela,"National Institute of Technology, inside the department, Koel Nagar, Rourkela, Sundargarh, Odisha, 769002, India",22.25015890,84.90668557,edu, +c87c07d44633eca2cc1d11d2d967fc66eb8de871,A robust method for face recognition and face emotion detection system using support vector machines,India,India,India,20.59368400,78.96288000,edu, c847de9faa1f1a06d5647949a23f523f84aba7f3,Moving face spoofing detection via 3D projective invariants,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, +c858c74d30c02be2d992f82a821b925669bfca13,Computer Vision – ECCV 2014,"KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium","KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium","Kasteelpark Arenberg 10, 3001 Leuven, Belgium",50.86204180,4.68589540,edu, c89d2396952e9ffe309b6e8dca8f3494ad276af2,QCC: a novel clustering algorithm based on Quasi-Cluster Centers,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, c8c60abb7cef001213d951d041e5f03042de0df5,Person re-identification with deep dense feature representation and Joint Bayesian,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu, c89a230ac0faee883a42b88c3349dec59630e39a,Investigation in Spatial-Temporal Domain for Face Spoof Detection,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, c8eadd001e5c0474ed02428e79e8d2071151bd1c,Rotational invariant LBP-SURF for fast and robust image matching,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, c83e26622b275fdf878135e71c23325a31d0e5fc,Denser Trajectories of Anchor Points for Action Recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +c8ad5e167b5964c16811fc6427b50453ca3dff9f,SURF-based spatio-temporal history image method for action representation,"Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","1-1 仙水町 戸畑区 北九州市 福岡県 804-8550, Japan",33.89419680,130.83940830,edu, +c85173942e190390bfe67d9513480904d56f3f56,HALS-based algorithm for affine non-negative matrix factorization,China,China,China,35.86166000,104.19539700,edu, c89064dae544838fb4e71f64f140d886fe0bb2ad,Robust 2D Ear Registration and Recognition Based on SIFT Point Matching,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, c868ccc443bcc9866f610883bf5a0f63079f89fc,Loop Detection and Correction of 3D Laser-Based SLAM with Visual Information,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, c8b1850cdba18e3de513a315810fa4bbde2da867,Mind how you answer me!: transparently authenticating the user of a smartphone when answering or placing a call,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, @@ -1576,25 +2210,33 @@ c8fb8872203ee694d95da47a1f9929ac27186d87,View and texture-independent facial exp c80e9854c5ff43b0958119d04e884418d7c05c38,Nonparametric image parsing using adaptive neighbor sets,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu, c8c0e8523481996a77423eac861dbcec7d5a7716,Continuous Pose Normalization for Pose-Robust Face Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, c8e3941b7638fa2533693998ccc1ee8765e8e1d7,Combining convolutional neural networks for emotion recognition,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, +c843f591658ca9dbb77944a89372a92006defe68,Learning motion and content-dependent features with convolutions for action recognition,China,China,China,35.86166000,104.19539700,edu, +c88be8de97c569d2876eab9feac16d0d3f6b337f,A method for action recognition based on pose and interest points,China,China,China,35.86166000,104.19539700,edu, c8359e5e274a8e5dbb1498f94040d88623865898,Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, c887a86430f0444f71ea4ce6da807455d0435dc7,A robust NF-GMMCP algorithm for multi-pedestrian tracking,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, c83d142a47babe84e8c4addafa9e2bb9e9b757a5,Facial expression recognition with robust covariance estimation and Support Vector Machines,University of Thessaloniki,University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 749ce4f00b0425376a884666d2f79e8c5191bea4,Nonnegative Matrix Factorization Using Autoencoders And Exponentiated Gradient Descent,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 74dd7f66c26219901e8937910996f0003fc718c6,Robust semantic analysis by synthesis of 3D facial motion,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu, 74cec83ee694b5d0e07d5d0bacd0aa48a80776aa,Improved discriminant nearest feature space analysis for variable lighting face recognition,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +745d289e559dcbbfb938790735aa221fbb585a05,Distributed and Unsupervised Cost-Driven Person Re-Identification,University of Udine,"University of Udine, Italy","Università degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy",46.08107230,13.21194740,edu, 7442f8ccba3a5810ddb4b4d10f51fb93af7895c9,Vision-based pedestrian monitoring at intersections including behavior & crossing count,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, 748675f7ab301351b8d80b0c9816d5763ddd7bf8,A Comparative Study of Palmprint Recognition Algorithms,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +748835f09adf69955de260fe2497906908a7609c,A survey of face recognition algorithms and testing results,"National Biometrics Test Center, San Jose State University, CA, USA","Nat. Biometrics Test Center, San Jose State Univ., CA, USA","1 Washington Sq, San Jose, CA 95192, USA",37.33518740,-121.88107150,edu, 745d49a2ff70450113f07124c2c5263105125f58,Selective deep features for micro-expression recognition,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +741950ae2e503a614f257cdac653d1bb30cb8e79,Patterns of weber magnitude and orientation for face recognition,China,China,China,35.86166000,104.19539700,edu, 74b98307bb7795ea91908498dab34a4cf2916ed0,Infrared pedestrian detection utilizing entropy-edge weighted local gradient orientation descriptor,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 7438582019689ce42ba4427a24bb7295438f82b8,A VQ-based fast face recognition algorithm using optimized codebook,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 74c65396b82c2a796bd023e97cfedf058e9a1b83,Prediction of collective actions using deep neural network and species competition model on social media,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 741637b8b6e4fdd30cb40b3881f29c3377eb4749,Figure-Ground Segmentation - Object-Based,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 748e7263f048d4a3ee513d0d15767da9b283a052,A 3D morphometric perspective for facial gender analysis and classification using geodesic path curvature features,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, +74a9712e7f3c8cbe5f705d88e531969dbc663aa0,Advanced approach for face recognition using Gabor Wavelet and SURF detector (GWSS),India,India,India,20.59368400,78.96288000,edu, 745e74ae84e1b2b8690d07db523531642023d6c4,Face recognition via non-negative sparse low-rank representation classification,Yangzhou University,"College of Information Engineering, Yangzhou University, Yangzhou, China","196 Huayang W Rd, Hanjiang Qu, Yangzhou Shi, Jiangsu Sheng, China",32.33934870,119.39704100,edu, 746433b148d25bfbae9ecbc94e8db72580208546,Tensor Locality Preserving Sparse Projection for Image Feature Extraction,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, +74879f53e3e5fa580bdb3e2693861bdf40c0a8c1,Double Encoder Conditional GAN for Facial Expression Synthesis,China,China,China,35.86166000,104.19539700,edu, 746cbf30a3e8f0563fff86da8c3978e9d490aad9,L1-Norm-Based 2DPCA,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu, 740f744c93dfcc4788408c9054875872b518c11b,Expansion of 3D face sample set based on genetic algorithm,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, eb689fbc6ce71cdc05761f7d0053f4332e97015f,Collaborative Tracking for Multiple Objects in the Presence of Inter-Occlusions,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +eb902c51df0aa2140ca5196f6f7e847fbe5562c1,Pedestrians detection using a cascade of LBP and HOG classifiers,Romania,Romania,Romania,45.94316100,24.96676000,edu, eb9867f5efc98d3203ce1037f9a8814b0d15d0aa,Periocular recognition based on Gabor and Parzen PNN,"Centre of Development of Advanced Computing, Mumbai, India","Centre of Development of Advanced Computing (CDAC) Mumbai, 400049, India","9, 10th Gulmohar Cross Rd, Gulmohar Road, JVPD Scheme, Juhu, Mumbai, Maharashtra 400049, India",19.11471490,72.83383690,edu, ebecc2516c998ec6acd1ecc5484702c4ce4c980f,Using comparative human descriptions for soft biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, ebce3f5c1801511de9e2e14465482260ba5933cc,More than a Feeling: The MiFace Framework for Defining Facial Communication Mappings,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, @@ -1602,58 +2244,82 @@ eb24c37a43cd3e4a957c47898b7bbfe7c8695e3e,Learning spherical hashing based binary eb161064ea62eaf6369a28ff04493b47cf29cc0c,"Crowd analysis using visual and non-visual sensors, a survey",Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, eb7f690d6142fe558892f8d2f1bc692884b1a852,Disambiguating Visual Verbs,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, ebde14a5d0137e970bfea350eb0ccc7d4eec2394,Person Re-Identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +ebeb0546efeab2be404c41a94f586c9107952bc3,Multi-cue Augmented Face Clustering,China,China,China,35.86166000,104.19539700,edu, ebb3d5c70bedf2287f9b26ac0031004f8f617b97,"Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans",Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, eb3e0a14851b681ee254ff0c2be5c6b29025c823,Pornographic image recognition by strongly-supervised deep multiple instance learning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, ebe7063c2dbc5f162be874b47a93d6b05070101c,Low-resolution pedestrian detection via a novel resolution-score discriminative surface,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +eb555b9a950ba90f913c6af8b104975bc58e2c23,Onboard Video Stabilization for Rotorcrafts,"Dep. Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador","Dep. Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador","Sangolqui 171103, Ecuador",-0.31405160,-78.44568360,edu, ebc2a3e8a510c625353637e8e8f07bd34410228f,Dual Sparse Constrained Cascade Regression for Robust Face Alignment,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +eb8a21f3eb2cae9d3da79dfa50a3372c4c426665,Fisher Discriminant Analysis With L1-Norm,China,China,China,35.86166000,104.19539700,edu, eb2d85e01488c54f48da94748d3298732f5b5de5,EyePACT: Eye-Based Parallax Correction on Touch-Enabled Interactive Displays,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, eb309b11fd2b8d28cbaf7a72a49df14630ed696a,Facial Expression Recognition Using Hybrid Discriminant Analysis,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, eb14b933a374df4e909f6f61500d7a1ad34a8d8b,Robust face recognition with occlusions in both reference and query images,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, ebbceab4e15bf641f74e335b70c6c4490a043961,Evaluating the performance of face-aging algorithms,Cyprus University of Technology,Cyprus University of Technology,"Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - Λεμεσός, Limassol - Λεμεσός, Κύπρος - Kıbrıs, 3036, Κύπρος - Kıbrıs",34.67567405,33.04577648,edu, eb87151fd2796ff5b4bbcf1906d41d53ac6c5595,Enhanced face detection using body part detections for wearable cameras,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, +08100a843de77ee84c0aabbc18cddb1adbd71cd6,Intelligent Film Assistant for Personalized Video Creation on Mobile Devices,University of Applied Sciences,"National Kaohsiung, University of Applied Sciences, Kaohsiung, Taiwan. jspan@cc.kuas.edu.tw","No. 415號, Jiangong Road, Sanmin District, Kaohsiung City, Taiwan 807",22.64894580,120.32831570,edu, +080ab68a898a3703feead145e2c38361ae84a0a8,Pairwise Costs in Semisupervised Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 081f0ff96de80b4a29d9f52e6e058bb9482efc2a,Probability occupancy maps for occluded depth images,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 08e6f526afc00c06ca9862029472e56a7c3de51a,Sparse representation of point trajectories for action classification,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 081c6bb197a3a593fc471aa8d24f540cd28b18fa,Every Little Movement Has a Meaning of Its Own: Using Past Mouse Movements to Predict the Next Interaction,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +085c61ad31208717a6bc28059708ebdebbb1ca43,Gesture recognition of traffic police based on static and dynamic descriptor fusion,China,China,China,35.86166000,104.19539700,edu, 08e0073b649a3fb6fac530267e3f32eb8e67c5fb,Locality-constrained group sparse representation for robust face recognition,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, +08169c3e0179aa71cf5dfb9f048392916433b3e5,Asymmetrically boosted HMM for speech reading,"GVU Center, Georgia Inst. of Technol., Atlanta, GA, USA","GVU Center, Georgia Inst. of Technol., Atlanta, GA, USA","North Ave NW, Atlanta, GA 30332, USA",33.77561780,-84.39628500,edu, 085b5f9fd49432edab29e2c64f2a427fbce97f67,"What do 15,000 object categories tell us about classifying and localizing actions?",University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +081307db6d8d709af26f49d24041086bb09abfd1,A general description generator for human activity images based on deep understanding framework,China,China,China,35.86166000,104.19539700,edu, +08c7deb50c98f5a5095cbb60d3a85b1cac149883,Face recognition based on improved PCA reconstruction,China,China,China,35.86166000,104.19539700,edu, 08fbbfe87563595508a77629e47613d6bd1119eb,Audio-visual emotion recognition using multi-directional regression and Ridgelet transform,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, 087a1f9c2846fb1f9d7c29a0f042bbce929bbf5f,$L\infty$ Analysis and State-Feedback Control of Hopfield Networks,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 089095d2da66c95b6e672bf3cfa33a36125b8232,One sample based feature learning for vehicle identification,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 0874734e2af06883599ed449532a015738a1e779,Semi-supervised classification based on subspace sparse representation,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, 080e81f425dc129c4e4022568e2a23674ca41307,"First-Person Activity Recognition: Feature, Temporal Structure, and Prediction",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 086024b3cc6900e52eea16f75c0984e29b1ed5be,Advances in Elastic Graph Matching for Frontal Face Verification,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +08276cb2bfa9da2d0cfccba881b109346749159e,Efficient pedestrian detection with group lasso,"Università degli Studi di Genova, Italy","DISI - Università degli Studi di Genova, Via Dodecaneso 35 - I16146 - Italy","Via Dodecaneso, 35, 16146 Genova GE, Italy",44.40340270,8.97219370,edu, 08c76a4cc6f402c37a050cae5390427a5b66a467,Topology Preserving Structural Matching for Automatic Partial Face Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +08dc6e67f71e6c666cc7eadbf31b494e4bee362e,General categorization of leaves using square patches in combination with SVM classifier,India,India,India,20.59368400,78.96288000,edu, +086655743dc5f16563c012ad43b2f9d06771d9c0,Near real-time face parsing,India,India,India,20.59368400,78.96288000,edu, 080a910dcb2541e0ca9384d27de3db7a0248f02a,Algorithms for scheduling task-based applications onto heterogeneous many-core architectures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 08e6d7d062dca6ed869a21d7e5634ccbfd0dba32,Automated Analysis of Pedestrian Group Behavior in Urban Settings,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +08162395a4b47236bf64d1ec5a286d3d207e91e2,Active learning and discovery of object categories in the presence of unnameable instances,Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu, 08dc94471605308669c8d3d8284ba94fcc93e345,Deep Learning in Microscopy Image Analysis: A Survey,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, +0818ed460c7c0d7bbed760145fcf83b3b426d344,Unsupervised incremental learning for improved object detection in a video,"NEC Labs, Cupertino, CA","NEC Labs, Cupertino, CA","10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA",37.32391770,-122.01296930,company, 46f04ef2bd5bcba7a14f32ca712efc420152c825,Human detection using local shape and Non-Redundant binary patterns,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 46ceb986a24742ee363cfff313000b7e23c217a6,Voice Activity Detection with Generalized Gamma Distribution,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 46b2ecef197b465abc43e0e017543b1af61921ac,Face alignment with Cascaded Bidirectional LSTM Neural Networks,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 46e5d8f4cd7a49117876258fe70ca902ebba801b,Self-adaptive morphable model based multi-view non-cooperative 3D face reconstruction,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +4671f13ac3661f430e50b169108c67e11ebfdf1d,Finger-vein image quality evaluation based on the representation of grayscale and binary image,China,China,China,35.86166000,104.19539700,edu, 464ef1b3dcbe84099c904b6f9e9281c5f6fd75eb,LogDet Divergence-Based Metric Learning With Triplet Constraints and Its Applications,University of Agder,University of Agder,"UiA, Vegard Hauges plass, Gimlemoen, Kvadraturen, Kristiansand, Vest-Agder, 4630, Norge",58.16308805,8.00144966,edu, 4679f58139f1be2aab2598378555f277bc299d2a,Online learning of dynamic multi-view gallery for person Re-identification,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 46e0703044811c941f0b5418139f89d46b360aa3,Random Forest Classifier for Zero-Shot Learning Based on Relative Attribute,China University of Mining and Technology,China University of Mining and Technology,"China University of Mining and Technology, 1号, 大学路, 泉山区 (Quanshan), 徐州市 / Xuzhou, 江苏省, 221116, 中国",34.21525380,117.13985410,edu, +46eaeee1d2887c27b614852c728411cfedf52144,Part and Attribute Discovery from Relative Annotations,"Toyota Technological Institute at Chicago, Chicago, USA","Toyota Technological Institute at Chicago, Chicago, USA","6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 46ae0bc7291d209b9effe0bdddf43c82d19832b1,LinedCut: Image segmentation using single line interaction,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, -46a29a5026142c91e5655454aa2c2f122561db7f,Margin Emphasized Metric Learning and its application to Gabor feature based face recognition,Chinese Academy of Science,"Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China","Beijing, China",39.90419990,116.40739630,edu, +46a29a5026142c91e5655454aa2c2f122561db7f,Margin Emphasized Metric Learning and its application to Gabor feature based face recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 4622d4027f807083e10d1ac6c3f5539d2167ee45,Kernel collaborative representation-based classifier for face recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +4613b3a9344622b2997039afe3d47df1fd4de72f,Performance improvement for face recognition using PCA and two-dimensional PCA,India,India,India,20.59368400,78.96288000,edu, 467144dfb6c2f52d63f7a012b4680165361e96e7,Multimodal biometrics: issues in design and testing,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, 468253c79c14439d238f1fc6c642e1c12145dfc5,Eigenboosting: Combining Discriminative and Generative Information,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 4643da1a650d34aca300f3222d07fc9c1e622891,Persistent people tracking and face capture using a PTZ camera,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 46c9e36647f2d5b40555e4e392dd76807c73f2c2,Multi-Object Tracking in Airborne Video Imagery based on Compressive Tracking Detection Responses,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +42750fbdc5bff1a2955d2ef4e5d197e101843bed,Scenario-based score fusion for face recognition at a distance,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu, 42a6cbc729904392808195d8d4c91636496c92a7,Biologically Inspired Visual Model With Preliminary Cognition and Active Attention Adjustment,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 42a6beed493c69d5bad99ae47ea76497c8e5fdae,Joint salient object detection and existence prediction,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 42b58427ed3265ad3c46b3e378ab09c26e91117c,Hierarchical data association and depth-invariant appearance model for indoor multiple objects tracking,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +4263f2c81a8b79f637c3fdf432a9b1e58e1c25e5,Human Face Detection and Facial Expression Identification,India,India,India,20.59368400,78.96288000,edu, 42b0e7f924dc96df281207d5b6560436c61fbaeb,The Effects of Approach–Avoidance Modification on Social Anxiety Disorder: A Pilot Study,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 42c8d3a33a73ace976cdc6e0fc2a17c011d54021,Prediction and Predictability for Search Query Acceleration,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, -4272734bf16a87f22ea4ccc404d955ddfa745fd9,Computing Eigenface from Edge Images for Face Recognition Based on Hausdorff Distance,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu, +4233746214b73039bd80d9650d53651ca24440e9,Face Validation with Facial Model using Genetic Algorithms,"Electronics and Optoelectronics Research Laboratories, ITRI, Hsinchu, Taiwan","Electronics and Optoelectronics Research Laboratories, ITRI, Hsinchu, Taiwan","Hsinchu, East District, Hsinchu City, Taiwan",24.81382870,120.96747980,edu, +4272734bf16a87f22ea4ccc404d955ddfa745fd9,Computing Eigenface from Edge Images for Face Recognition Based on Hausdorff Distance,"Beijing Institute of Technology, China","Beijing Institute of Technology, China","Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China",39.96443100,116.31031900,edu, +422e01be2612b69d5b567abc3b218a01c1cca754,Effect of variation factors on the processing time of the face recognition algorithms in video sequence,"King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand","King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand","Thanon Chalong Krung, Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand",13.72986650,100.77831110,edu, 426f1f784c479cb88211cf2f61fe566255871079,The effect of time on ear biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 425d8fedbbd64ccd630851cd2c2f618243977cfb,Face localization by closed loop discriminator estimation and improved detection using contemporary feature extraction techniques,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +4286b193cf1c381ac18d1fd994d6acd2a284ddad,Pictorial structure based people detection and pose estimation in videos,Sapientia Hungarian University of Transylvania,"Sapientia Hungarian University of Transylvania, Hungary",Hungary,47.16249400,19.50330410,edu, +4280c600ef8621b6bed27e729cd23535ddd6b5c7,Dense Multiperson Tracking with Robust Hierarchical Linear Assignment,Queen’s University Belfast,"Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, U.K.","Belfast BT3 9DT, UK",54.61403200,-5.90043100,edu, 426b6d514dc4fe551b9db85d1139ec9502fd264c,Gender determination using a Support Vector Machine Variant,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 4238ce9152b02b5ae07e8e42074d1ab7462ac652,Illustration2Vec: a semantic vector representation of illustrations,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 422c21a3ebf43fe0ddd62d052bde00c004339ce4,Compositional Model-Based Sketch Generator in Facial Entertainment,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 42441f1fee81c8fd42a74504df21b3226a648739,Automatic gender recognition based on pixel-pattern-based texture feature,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 42af47b99e972f2f5f1897f00082f37496aeb7e8,Precise Regression for Bounding Box Correction for Improved Tracking Based on Deep Reinforcement Learning,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, 4204918c1f7959310ddd78a9c5ff3a6812b5f598,A BEMD based muti-layer face matching: From near infrared to visual images,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +42f258d271425b0f87af50f30d10c8fc74354c26,Probabilistic contour extraction using hierarchical shape representation,"Sch. of Inf. Eng., Dalian Maritime Univ., China","Sch. of Inf. Eng., Dalian Maritime Univ., China","1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China",38.87004100,121.53414100,edu, 42b4e00e55d3b61da5a9054ba038f13600e70f9a,The Neural Circuitry of Autism,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 429bf689fe333e1a2dcd8f1d50cd0a905972029e,Small group people behavior analysis based on temporal recursive trajectory identification,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 422f22dc13e581e09c4ed705091c73e1a676dec0,On the need for structure modelling in sequence prediction,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, @@ -1662,33 +2328,44 @@ eb87151fd2796ff5b4bbcf1906d41d53ac6c5595,Enhanced face detection using body part 425ea5656c7cf57f14781bafed51182b2e6da65f,Structured Kernel Dictionary Learning With Correlation Constraint for Object Recognition,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 42ee339802ec9195b2439074e5b7120e74ad79a4,VRank: Voting system on Ranking model for human age estimation,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, 4289f9f727af39414537a97e5eef90b06115a5db,Global-Local Temporal Saliency Action Prediction,University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu, +fd93275f240d17b7adc22d5e1139379265fcf011,A local cores-based hierarchical clustering algorithm for data sets with complex structures,China,China,China,35.86166000,104.19539700,edu, fd38163654a0551ed7f4e442851508106e6105d9,Face Recognition Assisted With 3D Face Model,Capital University of Economics and Business,"College of Information, Capital University of Economics and Business, Beijing, China.sanyecunfu@emails.bjut.edu.cn","121 Shoujingmao S Rd, Huaxiang, Fengtai Qu, Beijing Shi, China, 100070",39.84117100,116.31644700,edu, +fd60166c2619c0db5e5159a3dfe9068aa4f1b32f,Illumination invariant face recognition system based on a novel Lighting Equilibrium Distribution Map,China,China,China,35.86166000,104.19539700,edu, fdd33dd6c6463564c4756fdecbfc81be82834f73,Laplacian Pyramid of Conditional Variational Autoencoders,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, fdfdc1004708427e194bf29cd9a77364244e7a73,Deep Learning for Biometrics,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, fd8168f1c50de85bac58a8d328df0a50248b16ae,Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +fd7c9d90ade72ad96990b284004f672a482029d6,Local Gabor phase difference pattern for face recognition,China,China,China,35.86166000,104.19539700,edu, fdd19fee07f2404952e629cc7f7ffaac14febe01,Face recognition based on dictionary learning with the locality constraints of atoms,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, fd0a462934359b52051ae95b970c9e01f4f32539,Fast and Accurate Content-based Semantic Search in 100M Internet Videos,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, fdc6715efab69e057d53d782e930fd3e700cc7f9,Robust Multiperson Detection and Tracking for Mobile Service and Social Robots,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, fd68662e0fe3412d47ca07d33246212d4ecfe590,Efficient track linking methods for track graphs using network-flow and set-cover techniques,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, fdb6599cb273a88ff38a987b19ec2ec4b7efb2ff,Deep Learning and Convolutional Neural Networks for Medical Image Computing,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, +fdbd6d15f5be4d60592036eb21f4cbf68493d082,Multiple human upper bodies detection via deep deformable part model,Nanjing Tech University,"Nanjing Tech University, Nanjing, China","China, Jiangsu Sheng, Nanjing Shi, Gulou Qu, 新模范马路5号 邮政编码: 210028",32.07673400,118.77813900,edu, fd645edffb18e76d89b9efe02bc0b76163de2261,Statistics on the number of people in the regular scene based on Hough and SVM,Communication University of China,Communication University of China,"中国传媒大学, 朝阳路, 定福庄, 朝阳区 / Chaoyang, 北京市, 100024, 中国",39.91199955,116.55189141,edu, fd1003eeca71ea2e92747767bfc6c862c6036f37,Video analytics for surveillance camera networks,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, fd41689c7e828badc861a31782b9a0902eac055d,Lip segmentation in color images,Shiraz University,Shiraz University,"دانشگاه شیراز, میدان ارم, محدوده شهرداری منطقه یک - شهرداری شیراز, شیراز, بخش مرکزی شهرستان شیراز, شهرستان شیراز, استان فارس, 71348-34689, ‏ایران‎",29.63854740,52.52457060,edu, fd3131b370a81e25aa962d266b2b32922ea4e613,Tracking 3D human pose with large root node uncertainty,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu, +fd13c64f629d57b85ade538e15821fd00f4e5f1c,On the complex domain deep machine learning for face recognition,"The Nature-Inspired Computational Intelligence Research Group, Kanpur, India","The Nature-Inspired Computational Intelligence Research Group, Kanpur, India","Kanpur, Uttar Pradesh, India",26.44992300,80.33187360,edu, fd9b86fb36a0b48e4eca0d73f8c3c683fdaf6231,Super-High-Purity Seed Sorter Using Low-Latency Image-Recognition Based on Deep Learning,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, fddf524012a4e1e7be94827d2ee5506d2678e540,From Kinect video to realistic and animatable MPEG-4 face model: A complete framework,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, fd01b62a8bb76798e93cf927e3aa823961af81fd,Region-based eigentransformation for face image hallucination,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +fddce785ccc3bc5534e2ad00c55e9d07cd92c6ec,A Tongue Image Segmentation Method Based on Enhanced HSV Convolutional Neural Network,University of Science and Technology Beijing,"University of Science and Technology Beijing, 100083, China","30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083",39.98945800,116.35694500,edu, fdc259afcfe4cb9af551f75d86c438459153a808,Partial-Aliasing Correlation Filters,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +fde611bf25a89fe11e077692070f89dcdede043a,Facial Expression recognition using Local Binary Patterns and Kullback Leibler divergence,India,India,India,20.59368400,78.96288000,edu, fd809ee36fa6832dda57a0a2403b4b52c207549d,A fully annotated thermal face database and its application for thermal facial expression recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, fd3d94fac6a282414406716040b10c1746634ecd,Video Captioning by Adversarial LSTM,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, fdd80b2139ff1b9becb17badd053b9a4a6a243f2,A method of facial wearable items recognition,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, fd80b1b1a3509e616af97a181d82c6cdf7ba4721,Hierarchical Parsing Net: Semantic Scene Parsing From Global Scene to Objects,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, fdfdf08ed0d6e5f656ce25c99b02d5424fe4640d,A Framework for Combining Statistical and Structural Pattern Retrieval Based on Feature Histograms,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, 110cdc88e2a26b0b88a0b54d8f646fa837e41554,Person re-identification using geometry constrained human trajectory modeling,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff,Efficient modeling by selecting learning samples in human pose estimation,"Nara Institute of Science and Technology, Japan","Nara Institute of Science and Technology, Japan","8916番地−5 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan",34.73211210,135.73285850,edu, +1159ff04fd17c59515199e0fc2d5e01e72818b59,Pose-invariant descriptor for facial emotion recognition,Tehran University of Medical Sciences,"Research Center for Science and Technology in Medicine, Tehran University of Medical Sciences, Tehran, Iran","Tehran, District 6, استان تهران، تهران، خیابان پورسینا، Iran",35.70585520,51.39410570,edu, +11ce6be0fa8972659bd288a5f51c152fe38a1881,Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence,"BioMerieu, La Balme-les-Grottes","BioMerieu, La Balme-les-Grottes","TE, 3 Route de Port Michaud, 38390 La Balme-les-Grottes, France",45.85432970,5.33203900,edu, 11ea239c256ca20662225897c2b800c7e690ef04,Directing the Attention of aWearable Camera by Pointing Gestures,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, 1133e636a1e49f1b1635b281c95c15d6f1483fb0,Soft-constrained nonnegative matrix factorization via normalization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 11c25e20b74416a97bb93f68990ed12c25c8baae,Robust Estimation of Albedo for Illumination-Invariant Matching and Shape Recovery,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 112b31e53037c5a17434524abc3ddbd1e05c168d,Multi-cue pedestrian detection from 3D point cloud data,National Taipei University of Technology,National Taipei University of Technology,"NTUT, 1, 忠孝東路三段, 民輝里, 東區商圈, 大安區, 臺北市, 10608, 臺灣",25.04306355,121.53468772,edu, +11c7e7010da7a93287e09b71f920237d0e5aac02,Classification of EEG signals using MLP based on categorical and dimensional perceptions of emotions,MARA University of Technology (UiTM),"Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, MALAYSIA","40450 Shah Alam, Selangor, Malaysia",3.07134720,101.50021440,edu, 1181f1146db7170b09f28f7cc51c42c63547d84b,Beihang University Facial Expression Database and Multiple Facial Expression Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 1125760c14ea6182b85a09bf3f5bad1bdad43ef5,A Probabilistic Approach to Linear Subspace Fitting for Computer Vision Problems,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 11ad162b3165b4353df8d7b4153fb26d6a310d11,Recognizing Families In the Wild (RFIW): Data Challenge Workshop in conjunction with ACM MM 2017,University of Massachusetts Dartmouth,University of Massachusetts Dartmouth,"University of Massachusetts Dartmouth, University Ring Road, Dartmouth, Bristol County, Massachusetts, 02747, USA",41.62772475,-71.00724501,edu, @@ -1699,24 +2376,36 @@ fdfdf08ed0d6e5f656ce25c99b02d5424fe4640d,A Framework for Combining Statistical a 116f0b1f54365eccffbb3310146a43c6935cdb04,Locality-constraint iterative neighbor embedding for face hallucination,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 1100ad221e6ab2e898beb0e49af107b34c02090b,Closing the loop in scene interpretation,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, 1154e9a62825e6dd0a253b4cf9b98cd6452bcaf1,Expressional face image analysis with constrained optical flow,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, +11342399df26a059848764cc550e0f1c83992e61,Collaborative representation based face recognition using a hybrid similarity measure with single training sample per person,India,India,India,20.59368400,78.96288000,edu, 11ca91ee2c9974fbc8577207893381a46d79fd3d,Power conversion efficiency-aware mapping of multithreaded applications on heterogeneous architectures: A comprehensive parameter tuning,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu, 113cd9e5a4081ce5a0585107951a0d36456ce7a8,Real-time Recognition of Facial Expression using Active Appearance Model with Second Order Minimization and Neural Network,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, 110919f803740912e02bb7e1424373d325f558a9,Statistical Inference of Gaussian-Laplace Distribution for Person Verification,China University of Geosciences,"China University of Geosciences, Wuhan, China","388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073",30.52715100,114.40076200,edu, 11c535b6ea3f6230b97f574d8aea1ec45f157a33,Collect-cut: Segmentation with top-down cues discovered in multi-object images,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 11c8e6b236b7b8276121d922858b932995163a0d,Sub-meter vehicle navigation using efficient pre-mapped visual landmarks,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu, 11a089c83fc91bb78c7c5104b5763887edc13875,Discovering visual-concepts of online images from associational image patches,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +11ffcb985aab348870de871f275e5d23558f041c,Visual grasp affordances from appearance-based cues,"ICSI, UC Berkeley, USA","ICSI, UC Berkeley, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu, +119ccee35247b83565d385150baf1181fa5c3e74,Combining SVMS for Classification on Class Imbalanced Data,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 11a6593e6e35f95ebeb5233897d1d8bcad6f9c87,A Brain-Inspired Method of Facial Expression Generation Using Chaotic Feature Extracting Bidirectional Associative Memory,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, 11386a382a556a253406102f774c4056035dc8b0,3D facial expression recognition based on properties of line segments connecting facial feature points,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 47cd161546c59ab1e05f8841b82e985f72e5ddcb,Gender classification in live videos,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 473185fec9673b5b4da74156d2505da6585cf7a3,Quality Preserving Face De-identification against Deep Cnns,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, 4798e98fd4533648833c491b1ba289e370757371,Efficient Framework for Palm Tree Detection in UAV Images,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, 477caeeb7c953654a891a3011f3bcfaa6a68ec75,Automatic Attendance Capturing Using Histogram of Oriented Gradients on Facial Images,University of the Witwatersrand,University of the Witwatersrand,"University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa",-26.18888130,28.02479073,edu, +47ef3ae5832b3985e9f461b26428867258d4b261,A facial recognition application based on incremental supervised learning,Babes-Bolyai University,"Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, 400084, Romania","Strada Universității 7-9, Cluj-Napoca 400084, Romania",46.76779550,23.59127620,edu, +47785095076b48393bdcffea3267c686a5214900,Data filtering for scalable high-dimensional k-NN search on multicore systems,University of Otago,"University of Otago, Dunedin, New Zealand","362 Leith St, North Dunedin, Dunedin 9016, New Zealand",-45.86468350,170.51442270,edu, +471d8e30a4ebd3d217486be9ddfd6b4670e2b883,Discriminant sparse locality preserving projection for face recognition,China,China,China,35.86166000,104.19539700,edu, +47abff9dcb7cd8628bf3bda89069896ee2f356fb,A method of ear feature extraction for ear biometrics using MATLAB,India,India,India,20.59368400,78.96288000,edu, 474cefe3f67293f23cbec7b4b31e1c40d7c36352,An alternative scanning strategy to detect faces,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 47165ad181b3da3a615e6e8bc8509fcfc53f49c4,Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +47ae41d513630b8e4a03a124d7c20eae97ddbf55,Combining background information and a top-down model for computing salient objects,China,China,China,35.86166000,104.19539700,edu, 473f05ce910e7f20266880eb580d3a3aa877a98e,Visual tracking via online discriminative multiple instance metric learning,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 47de7339f70075f6ac1a77d3dba23dbe3e435b73,EventBuilder: Real-time Multimedia Event Summarization by Visualizing Social Media,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 470167a92227411d95b1c8687b12bd20e890c146,Context-aware pedestrian detection especially for small-sized instances with Deconvolution Integrated Faster RCNN (DIF R-CNN),Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, 47e486a082a244d8cdaf5bd537ff38cdba3dff76,An Effective Missing-Data Estimation Approach for Small-Size Image Sequences,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +4715303bdb871e57cbb597b7e936a6ef4aa2f71a,BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments,University of Texas at Austin; Facebook AI Research,"University of Texas at Austin; Facebook AI Research, Austin, USA","Austin, TX 78712, USA",30.28491850,-97.73405670,edu, +4791df90a067b8084315765d9b2dc3896b0b47e5,Drowsiness monitoring in real-time based on supervised descent method,Technical University of Sofia,"Faculty of Telecommunications, Technical University of Sofia, Bulgaria","ulitsa ""Akademik Stefan Mladenov"" 1, 1700 Studentski Kompleks, Sofia, Bulgaria",42.65608530,23.34765230,edu, +4749503fe584b4747c1e371b7bc101dc083ed0c3,MRF-Based Decision Fusion for Hyperspectral Image Classification,University of Gent,"Image Processing and Interpretation, University of Gent","St. Pietersnieuwstraat 33, 9000 Gent, Belgium",51.04656190,3.72791810,edu, +479fa087bdffcd574470801f76eef9faafe589f5,A survey on leveraging deep neural networks for object tracking,"Daimler AG, Research and Development, Ulm, Germany","Daimler AG, Research and Development, Ulm, Germany","Wilhelm-Runge-Straße 11, 89081 Ulm, Germany",48.42205270,9.94129320,edu, 4786638ffb3b2fb385cec80720cc6e7c3588b773,Effective semantic features for facial expressions recognition using SVM,Tamkang University,Tamkang University,"淡江大學, 151, 英專路, 中興里, 鬼仔坑, 淡水區, 新北市, 25137, 臺灣",25.17500615,121.45076751,edu, 47ec1950808910a541c9405ca6e9d8caf4b15891,Unsupervised feature selection by joint graph learning,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 47ffffb26cbc0cf0800cbf7efd370e0afd4aaa92,Robust 3D face recognition in uncontrolled environments,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -1727,15 +2416,20 @@ fdfdf08ed0d6e5f656ce25c99b02d5424fe4640d,A Framework for Combining Statistical a 452ea180cf4d08d7500fc4bc046fd7141fd3d112,A robust approach to facial ethnicity classification on large scale face databases,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 45d5d080c05ceb89610323d36ceee9bf99bf6dbc,Sparsity based facial region detection from minimal training data,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu, 4543845adcb6135f263cbf6c2813d10464199d52,Improving Deep Crowd Density Estimation via Pre-classification of Density,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +453febab65d4047e04b320daf8877bf5a018b6a8,Human pose estimation based on human limbs,Baidu,Baidu,"1195 Bordeaux Dr, Sunnyvale, CA 94089, USA",37.40922650,-122.02366150,edu, 45b3e64312f64cec0a88bc8e2af06ac628392899,Nonnegative complementary prototype representation based classifier for object recognition,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 45edb29fb7eed5a52040300e1fd3cd53f1bdb429,Facial makeup detection via selected gradient orientation of entropy information,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 4552dfc16a89d1066051b0dc7ee888d0873d2793,Scene understanding — A survey,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +4500888fd4db5d7c453617ee2b0047cedccf2a27,Moving portraits,University of Washington and Google Inc.,University of Washington and Google Inc.,"University of Washington Tower Building T, 4333 Brooklyn Ave NE, Seattle, WA 98105, USA",47.66074610,-122.31458380,edu, +45481d31c19986eb5cbaf6bda54362efb2fb7203,RSVP: A Real-Time Surveillance Video Parsing System with Single Frame Supervision,"IA, CAS, Beijing, China","IA, CAS, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, 4563b46d42079242f06567b3f2e2f7a80cb3befe,VADANA: A dense dataset for facial image analysis,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, +45a44edf54064ca4e6b14a51bd1303313168af3a,Transfer of sparse coding representations and object classifiers across heterogeneous robots,"Georgia Tech Research Institute, Atlanta, 30318 USA","Georgia Tech Research Institute, Atlanta, 30318 USA","400 10th St NW, Atlanta, GA 30318, USA",33.78101090,-84.40039930,edu, 453f9c46cbc0e769b6cee60d65a99b23631f0ba9,Robust 3-D Human Detection in Complex Environments With a Depth Camera,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 45e043dffc57a9070f483ac4aec2c5cd2cec22cb,SuperpowerGlass: A Wearable Aid for the At-Home Therapy of Children with Autism,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 45556fc103f8255cd60ce756c6f9ecdaac3fda79,Discover Novel Visual Categories From Dynamic Hierarchies Using Multimodal Attributes,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu, 4551194408383b12db19a22cca5db0f185cced5c,Nonlinear Topological Component Analysis: Application to Age-Invariant Face Recognition,"Center for Development of Advanced Technologies, Algeria","Division of Design of Intelligent Machines, Center for Development of Advanced Technologies, Algiers, Algeria","haouch oukil، Cité 20 aout 1956 Baba Hassen 5 juillet 1962، Alger 16303, Algeria",36.68948700,2.98187700,edu,"Center for Development of Advanced Technologies, Algiers, Algeria" 4512b87d68458d9ba0956c0f74b60371b6c69df4,SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches,University of Bordeaux,"UMR 5800, LaBRI, Talence, France","Domaine universitaire, 351, cours de la Libération, 33405 Talence, France",44.80837500,-0.59670500,edu, +4509654fa18710870797e89c40bdebdd3b9e9950,A novel pupil localization method based on GaborEye model and radial symmetry operator,China,China,China,35.86166000,104.19539700,edu, 45b27c1cd68625b5f20a5286e09bceaaaa4c55f1,Online person orientation estimation based on classifier update,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 45269e9746a5bd45b7a329ba1116622dba2e1ac1,Camera compensation using feature projection matrix for person re-identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 453bf941f77234cb5abfda4e015b2b337cea4f17,Robust regression based face recognition with fast outlier removal,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, @@ -1749,16 +2443,20 @@ fdfdf08ed0d6e5f656ce25c99b02d5424fe4640d,A Framework for Combining Statistical a 4a5c314a8911c6326ae386a55360c47110b08025,Online vehicle logo recognition using Cauchy prior logistic regression,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, 4aea1213bdb5aa6c74b99fca1afc72d8a99503c6,Facial feature extraction using hybrid genetic-simplex optimization in multi-objective Active Appearance Model,"SUPELEC / IETR, France","SUPELEC / IETR, Avenue de la Boulaie, 35576 Cesson Sevigne, France","Campus de Rennes, Avenue de la Boulaie, 35510 Cesson-Sévigné, France",48.12523160,-1.62340120,edu, 4aa9a1dd4c0b5d5ebaabdacd2b4665e1f10faf96,A co-boost framework for learning object categories from Google Images with 1st and 2nd order features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +4a912e8c04ec0b2d2364d36874a8faf6e4a28b8c,Gabor-based kernel PCA with doubly nonlinear mapping for face recognition with a single face image,China,China,China,35.86166000,104.19539700,edu, 4aab784972af579879758e894fc52f50ac37f4f3,Generalized ordinary moment based blur invariant descriptors for face recognition with degraded images,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, +4a111ca4ba39386b489f9c0a9c7949e932563ddb,Automatic Group Affect Analysis in Images via Visual Attribute and Feature Networks,India,India,India,20.59368400,78.96288000,edu, 4ae67bec2fa4f5774215634c66bb67619a54e677,Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 4a0cec395dfe1ab634f53cf295409281c40ed5c0,Multi-target tracking with hierarchical data association using main-parts and spatial-temporal feature models,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, 4ad8b29c5cd59283c3ab8122e315d4784f85e388,Audio-visual speech recognition with background music using single-channel source separation,Sabanci University,Sabanci University,"Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepeören, Tuzla, İstanbul, Marmara Bölgesi, 34953, Türkiye",40.89271590,29.37863323,edu, +4abaf4673d3745d312ed7e62770e6d264acee27a,Iterative estimation of the eye pupil center,"GTÜ Bilgisayarla Görme Lab, Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye","GTÜ Bilgisayarla Görme Lab, Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye","Cumhuriyet Mahallesi, 2254. Sk. No:2, 41400 Gebze/Kocaeli, Turkey",40.80912790,29.36501750,edu, 4ab31fc841890b90d66c30ed2f694a0597f0a081,Matching heads of multiple people in multiple camera networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 4a4d66b26c908e0264fbef706d1708030a8c5216,Influence of binning in Histograms of Oriented Gradients method representation,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, 4a7facf4bff5a2e14f59ececaa6bfe75d04f2171,Can faces verify blood-relations?,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, 4adbf8df68b1e1cb9da45054a12469720361c826,A novel fast face recognition algorithm based on multi-dimension neural network model and boundary feature extraction technique,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 4ad8178e285901c886e3e2e66f2340115347b23f,A Comprehensive Study on Center Loss for Deep Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, -4a6a59470fc27f8860a094c6cd90ef220ddc760a,Multi-feature subspace analysis for audio-vidoe based multi-modal person recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +4a6a59470fc27f8860a094c6cd90ef220ddc760a,Multi-feature subspace analysis for audio-vidoe based multi-modal person recognition,Shenzhen Institute of Advanced Technology,Shenzhen Institute of Advanced Technology,"Tengfei Rd, LongGang ZhongXin Cheng, Longgang Qu, Shenzhen Shi, Guangdong Sheng, China, 518172",22.72147100,114.21548200,edu, +4a8b21da621a33b805906140b08c699a09ef06a9,Human Detection by Quadratic Classification on Subspace of Extended Histogram of Gradients,"Agency for Science, Technology & Research, Institute for Infocomm Research, Singapore","Agency for Science, Technology & Research, Institute for Infocomm Research, Singapore","1 Fusionopolis Way, #20-10 Connexis, North Tower, Singapore 138632",1.29961130,103.78773110,edu, 4acbfe48fb279dbbc62f5be868dde5a4ce799904,Person re-identification by free energy score space encoding,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 4a9db3fd76ad7d2d95f862d50e97247f2c16502a,A FPGA implementation of facial feature extraction,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 8455f7e992596fbb39212897a9421c9005949f76,Parsing the Hand in Depth Images,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, @@ -1766,28 +2464,37 @@ fdfdf08ed0d6e5f656ce25c99b02d5424fe4640d,A Framework for Combining Statistical a 84ec0983adb8821f0655f83b8ce47f36896ca9ee,Finding label noise examples in large scale datasets,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, 8476f4121e495a99316d634c32e4c82aa3f8dbb8,On the use of convolutional neural networks for graphical model-based human pose estimation,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, 84ba2ff2a4d75e46bfe39c18ad075f4972c3ed73,Gabor volume based local binary pattern for face representation and recognition,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +841c99e887eb262e397fdf5b0490a2ae6c82d6b5,Feature extraction for facial age estimation: A survey,India,India,India,20.59368400,78.96288000,edu, 84a74ef8680b66e6dccbc69ae80321a52780a68e,Facial Expression Recognition,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 84c08d24012f5af14589c371d34b146202850c96,Learning Kernels for Unsupervised Domain Adaptation with Applications to Visual Object Recognition,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +849f56689d6d947770ca3e1f582521754ff72c4e,A Robust Noninvasive Eye Control Approach For Disabled People Based on Kinect 2.0 Sensor,China,China,China,35.86166000,104.19539700,edu, +84f003d3cfb093b0cebfa3ae8ae5f138a5677558,Kinship verification in the wild: The first kinship verification competition,"Politecnico di Torino, DAUIN, Italy","Politecnico di Torino, DAUIN, Italy","d, Corso Castelfidardo, 34, 10138 Torino TO, Italy",45.06422430,7.65973340,edu, 84574aa43a98ad8a29470977e7b091f5a5ec2366,Latent max-margin metric learning for comparing video face tubes,"Technicolor, France","Technicolor, France","Technicolor, Rue d'Oradour-sur-Glane, Javel, 15e, Paris, Île-de-France, France métropolitaine, 75015, France",48.83153300,2.28066283,edu, 84ae55603bffda40c225fe93029d39f04793e01f,ICB-RW 2016: International challenge on biometric recognition in the wild,University of Beira Interior,"IT: Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal","Estr. da Palmatória 1, 6200-161 Covilhã, Portugal",40.27730770,-7.50958010,edu, 84bc3ca61fc63b47ec3a1a6566ab8dcefb3d0015,Rejecting pseudo-faces using the likelihood of facial features and skin,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu, 845d7e0f5b477e62b484a7fd628e80651167d500,Regional Registration for Expression Resistant 3-D Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 8496f90e4a3f36840d32a14588b791d85da3c868,Robust obstacle segmentation based on topological persistence in outdoor traffic scenes,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, 84c5c870c456b53467922c7c7d36649c40b6d791,Real-time accurate pedestrian circular tracking with UAV,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +84302b4e2e70cbace4d7ebc1cbb4efd744dfb645,A classifier training method for face detection based on AdaBoost,China,China,China,35.86166000,104.19539700,edu, 84dcd7d08f61fb1f8996bf92801589e07fb18965,Real time face recognition system (RTFRS),Firat University,Firat University,"Erzincan Üniversitesi Hukuk Fakültesi Dekanlığı, Sivas-Erzincan yolu, Üçkonak, Erzincan, Erzincan merkez, Erzincan, Doğu Anadolu Bölgesi, 24000, Türkiye",39.72750370,39.47127034,edu, 8448b75afec91e618ab1c2dade7d5500f6ae4289,The Applicability of Spatiotemporal Oriented Energy Features to Region Tracking,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, 84d27f9027c208c3c09f1c8c9baae9d553c57d54,Improved multiple histogram-based features for robust face recognition,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu, 84346cb26e983981e21faab2623045d6adb2da2b,Folksonomy-Based Visual Ontology Construction and Its Applications,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 8495e36177e556f9f9de729952d1b6aabb4f2e2b,"Person identification using automatic integration of speech, lip, and face experts",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 84eca4d0c6a989d57bc5ce900022d4bd5576361b,An Analysis of Random Projection for Changeable and Privacy-Preserving Biometric Verification,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +84be18c7683417786c13d59026f30daeed8bd8c9,A photometric sampling method for facial shape recovery,"Robótica y Manufactura Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ramos Arizpe, Mexico","Robótica y Manufactura Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ramos Arizpe, Mexico","Industrial, Zona Industrial, 25900 Ramos Arizpe, Coah., Mexico",25.56331030,-100.93892810,edu, 84d7af78c8dba3cad0380a33511725db4db1a54d,Flexible Manifold Learning With Optimal Graph for Image and Video Representation,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 844e3e6992c98e53b45e4eb88368d0d6e27fc1d6,Structure-constrained low-rank and partial sparse representation for image classification,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 84f8c5a8f3ccac8d0021f9d54e4388a9870e27a6,Multimodal learning using 3D audio-visual data for audio-visual speech recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 84d6714ae7bc73acadcca41b94148d61c8599ea8,Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 84f3c4937cd006888b82f2eb78e884f2247f0c4e,Beyond touch: Natural interactions using facial expressions,"Samsung SAIT, Bangalore","SAIT India, Samsung India Software Operations Pvt. Ltd (SISO), Bangalore, India, 560093","Bengaluru, Karnataka 560093, India",12.98586720,77.67130310,company, +847306581386c4731cca12d0b636b1b10d287369,A multi-modal system for road detection and segmentation,"Ecole Nationale Superieure de Techniques Avancés, Palaiseau, France","Ecole Nationale Superieure de Techniques Avancés, Palaiseau, France","828 Boulevard des Maréchaux, 91120 Palaiseau, France",48.71073390,2.21805010,edu, 4ca0f009594150a760da17c5dbb71107e206834f,Real-Time Driver's Drowsiness Monitoring Based on Dynamically Varying Threshold,Jaypee Institute of Information Technology,Jaypee Institute of Information Technology,"Jaypee Institute of Information Technology, Noida, A-10, National Highway 24 Bypass, Asha Pushp Vihar, Kaushambi, Ghaziabad, Uttar Pradesh, 201001, India",28.63004430,77.37208230,edu, 4cf9a2af6ab02ba026832c057cf9fde7489d42ba,Small instance detection by integer programming on object density maps,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +4c6cc339d1ef9cedcee85ad4bab0ca687ef39bda,Qualitative study on 3D face databases: A review,India,India,India,20.59368400,78.96288000,edu, +4c1249da3de9f31b2280af171e910f02e7ca5153,Dictionary learning feature space via sparse representation classification for facial expression recognition,China,China,China,35.86166000,104.19539700,edu, 4cb538b0b30dc6b425d2b5a5305d8a629cb1a847,Dynamic facial landmarking selection for emotion recognition using Gaussian processes,University of Sheffield,The University of Sheffield,"University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK",53.38152480,-1.48068143,edu, +4c7232d5c3caf09e9e5c53d697bb470246d3f4c7,LabelMe: Online Image Annotation and Applications,"INRIA, Paris, France","WILLOW project-team, Laboratoire d'Informatique de l'École Normale Supérieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France","45 Rue d'Ulm, 75005 Paris, France",48.84220580,2.34516890,edu, 4cf3419dbf83a76ccac11828ca57b46bbbe54e0a,Illumination normalization preprocessing for face recognition,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, 4c141534210df53e58352f30bab558a077fec3c6,Bridging Music and Image via Cross-Modal Ranking Analysis,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 4ca9753ab023accbfa75a547a65344ee17b549ba,A general framework for Approximate Nearest Subspace search,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, @@ -1797,41 +2504,62 @@ fdfdf08ed0d6e5f656ce25c99b02d5424fe4640d,A Framework for Combining Statistical a 4cb9f0965bcb756f40848abde28f5d9903fd6db4,A Novel 3D Facial Expression Recognition Approach Based on Tensor Distance,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 4ca1fcfd7650eeb0ac8d51cff31b70717cdddfdd,Learning partially-observed hidden conditional random fields for facial expression recognition,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 4cf18d4d187c4f5de04672be94fa63f509b38635,Lateralization of the parietal old/new effect: An event-related fMRI study comparing recognition memory for words and faces,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +4cf329b2a09eac0c55ec0eb8fdd5ef9c997ec27b,Principal texture direction based block level image reordering and use of color edge features for application of object based image retrieval,India,India,India,20.59368400,78.96288000,edu, 4cd85c27016362a23936d670b8b0cc0abcfe5a8f,Atypical development of spontaneous social cognition in autism spectrum disorders,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 4cace31e5bb5ff11318b66ff1050e84ab5f334cf,MoWLD: a robust motion image descriptor for violence detection,Zhejiang Normal University,Zhejiang Normal University,"浙江师范大学, 688, 迎宾大道, 柳湖花园, 金华市, 婺城区 (Wucheng), 金华市 / Jinhua, 浙江省, 321004, 中国",29.13646725,119.63768652,edu, 4c0cc732314ba3ccccd9036e019b1cfc27850c17,Late fusion and calibration for multimedia event detection using few examples,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +4c648fe9b7bfd25236164333beb51ed364a73253,Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey,Norwegian University of Science and Technology (NTNU),"Norwegian Biometric Laboratory, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway","Teknologivegen 22, 2815 Gjøvik, Norway",60.78881820,10.68087580,edu, 4c95912db440086efb2b7acca4e8a1693cf4b3b2,EV-Loc: Integrating Electronic and Visual Signals for Accurate Localization,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, 4cc98d819de01db8e0eedfac1022e6bd0b1bed03,Weighted pooling for image recognition of deep convolutional neural networks,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +4c8dfc4720186799b2baf53c282a32ba3f312bcc,A Mask Regional Convolutional Neural Network Model for Segmenting Real Time Traffic Images,India,India,India,20.59368400,78.96288000,edu, 4cac18612a3e38c84c190d3c8571722b35ad546f,Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +4cbd8adfdc4d622d9a7dd3676869042f16d073db,An improved multi-view face synthesis method based on point distribution models,China,China,China,35.86166000,104.19539700,edu, 4cb2d5ea093d52a9dbb5141bde20cbea576efa24,A cascaded long short-term memory (LSTM) driven generic visual question answering (VQA),Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 4cec3e5776090852bef015a8bbe74fed862aa2dd,Class-Discriminative Kernel Sparse Representation-Based Classification Using Multi-Objective Optimization,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 4cb852b0893edcf895aeccfb4e03055073777f5e,Collaborative filtering motivated automatic photo tagging,University of Connecticut,University of Connecticut,"University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA",41.80937790,-72.25364140,edu, 4c83e1be7c025dafbd009577977baccae2b29727,Hybrid Simulated Annealing and Its Application to Optimization of Hidden Markov Models for Visual Speech Recognition,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 4c6886c489e93ccab5a1124555a6f3e5b0104464,Metric learning based on attribute hypergraph,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +4cd6f20db45cdd3a21c08e1a56754cdf98d070a1,Exploiting Attribute Dependency for Attribute Assignment in Crowded Scenes,China,China,China,35.86166000,104.19539700,edu, 4c1dfd32f2ecd994a1dd85adebd4ad98cf27117c,Face recognition based on the combination of histogram features and rough location information of facial parts,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, -032707da24e5486d0bc319259ae8a8409a19a2f0,3D Face Recognition using Point Cloud Kernel Correlation,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu, +032707da24e5486d0bc319259ae8a8409a19a2f0,3D Face Recognition using Point Cloud Kernel Correlation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +038b5a38510f5b2064a0b24c94e59ee2b7c49815,A novel framework for semantic segmentation with generative adversarial network,China,China,China,35.86166000,104.19539700,edu, +0348ff27225e45578c39f000e86bd96aef060c97,A multistage filtering for detecting group in the crowd,China,China,China,35.86166000,104.19539700,edu, 0318c74b1cdec63de4c9577e9e600a48241adfc2,Sparse re-id: Block sparsity for person re-identification,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, 034b3f3bac663fb814336a69a9fd3514ca0082b9,Unifying holistic and Parts-Based Deformable Model fitting,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +0316ab93582f0f32b6137a0582d94aa31bfe3d1d,Face recognition method based on fuzzy 2DPCA,China,China,China,35.86166000,104.19539700,edu, +035d6dbaf2053d065464e065bb824695b1ab5a95,Random permutation principal component analysis for cancelable biometric recognition,India,India,India,20.59368400,78.96288000,edu, 037e7e2941239cc35782b8023f421799bc71bddc,Pedestrian Localization and Trajectory Reconstruction in a Surveillance Camera Network,Hanoi University of Science and Technology,Hanoi University of Science and Technology,"HUST, Trần Đại Nghĩa, Hai Bà Trưng, Hà Nội, 10999, Việt Nam",21.00395200,105.84360183,edu, 0387b32d0ebd034dc778972367e7d4194223785d,Emotion recognition with boosted tree classifiers,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 03016dd2ed29f1d8c090fff88f2cacbdb03da5f3,Weakly Supervised Multi-Graph Learning for Robust Image Reranking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 03333e7ec198208c13627066bc76b0367f5e270f,Action unit selective feature maps in deep networks for facial expression recognition,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, +03799d5eb1de8141db27856758a2f72436fcc926,A texture based mani-fold approach for crowd density estimation using Gaussian Markov Random Field,"Malaviya National Institute of Technology, Jaipur, India","Malaviya National Institute of Technology, Jaipur, India","Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India",26.86301440,75.81059200,edu, 037e6eba6b7fd0a0ef6919295b03c2fa8bea41d1,Multimodal CNN Pedestrian Classification: A Study on Combining LIDAR and Camera Data,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu, 0323b618d3a4c24bdda4f42361e19a2a7d497da5,Simultaneous Facial Feature Tracking and Facial Expression Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 03348371f02301528ef7ced9879dcf341de86bda,Generation of Accurate Lane-Level Maps from Coarse Prior Maps and Lidar,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, +03be0b8baddbe72e813c8ca29819e2309d7cacb9,Evaluation of Synthetic Video Data in Machine Learning Approaches for Parking Space Classification,University of Bochum,"University of Bochum, Institute for Neural Computation","Universitätsstraße 150, 44801 Bochum, Germany",51.44566590,7.26160930,edu, 03babadaaa7e71d4b65203e27e8957db649155c6,Distance Metric Learning via Iterated Support Vector Machines,Xi’an Jiaotong University,"Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China","28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China",34.25080300,108.98369300,edu, 037aeb661eb8018ae8dd92cc0b4029231dffc60b,3D face recognition method based on medium frequency information of geometry image,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 035c8632c1ffbeb75efe16a4ec50c91e20e6e189,Kinship verification from facial images and videos: human versus machine,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +03e2aa8a191c7b1a579a7ca4c9ba6b6b6d6e09bd,Pose invariant method for emotion recognition from 3D images,India,India,India,20.59368400,78.96288000,edu, 039b29a58861f78fd4cac0f51c70eb90398091d6,Is a detector only good for detection?,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 0344631fa49ba51a2ba25d96113618bff08cabdf,Fast pedestrian detection using a modified WLD detector in salient region,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 030c82b87e3cdc5ba35c443a93ff4a9d21c2bc2f,"Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition",University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +0329b7a1694b53d845242cf1e923864742d815f6,Pose interpolation SLAM for large maps using moving 3D sensors,"European Commission, Joint Research Centre (JRC), Institute for Transuranium Elements (ITU), Via Enrico Fermi 2749, Ispra (VA), Italy","European Commission, Joint Research Centre (JRC), Institute for Transuranium Elements (ITU), Via Enrico Fermi 2749, Ispra (VA), Italy","Via E. Fermi, 2749, 21027 Ispra VA, Italy",45.80392630,8.62968840,edu, 03d1d0a665e358863ff4de9ee7d78f64edd7e756,“Who are you?” - Learning person specific classifiers from video,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 0359935f5fe14eb4cb8af9486291f760495de7dd,Modelling activity global temporal dependencies using Time Delayed Probabilistic Graphical Model,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +03c970e744cdfaa170fe8f5a188548c68f2bd4f0,Face super-resolution reconstruction and recognition using non-local similarity dictionary learning based algorithm,"Jiangsu Jinling Sci & Tech Group Co., Ltd, Nanjing 210008, China","Jiangsu Jinling Sci & Tech Group Co., Ltd, Nanjing 210008, China","Pukou, Nanjing, China, 210044",32.20541000,118.72695600,edu, +034b8adb06a8ea330581ed8b733166c18034c54c,Face recognition algorithm based on multi-scale CLBP,"Key Laboratory of Work Safety Intelligent Monitoring, EE, BUPT, Beijing, P.R. China","Key Laboratory of Work Safety Intelligent Monitoring, EE, BUPT, Beijing, P.R. China","10 Xitucheng Rd, BeiTaiPingZhuang, Haidian Qu, Beijing Shi, China, 100876",39.96279600,116.35810300,edu, 031641e5ce5c444bc197ac3f7083910b077dd5fe,Cost Sensitive Semi-Supervised Canonical Correlation Analysis for Multi-view Dimensionality Reduction,Nanjing Normal University,Nanjing Normal University,"南京师范大学仙林校区, 敏行路, 仙林大学城, 栖霞区, 南京市, 江苏省, 210046, 中国",32.10668110,118.90863081,edu, 5cccd151d7c36c53bd582a71d780632a79384917,Crafting Personalized Facial Avatars Using Editable Portrait and Photograph Example,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +5c0272a7aa3287a84e490ba6dffda68f3faabe85,An ROIs based pedestrian detection system for single images,"Enjoyor Labs, Enjoyor Inc., Hangzhou, China","Enjoyor Labs, Enjoyor Inc., Hangzhou, China","Hangzhou, Zhejiang, China",30.27408400,120.15507000,edu, +5c1218c8d48171c56438433bf30459930742f8bd,Evaluation of optimum path forest classifier for pedestrian detection,"Sorbonne universités, Université de technologie de Compiègne, CNRS 7253 UMR/Heudiasyc. CS 60319, 60203 Compiègne cedex","Sorbonne universités, Université de technologie de Compiègne, CNRS 7253 UMR/Heudiasyc. CS 60319, 60203 Compiègne cedex","57 Avenue de Landshut, 60200 Compiègne, France",49.40187640,2.79699060,edu, +5c13e88b0a739f02de93126b4d376349588fd58b,Adaptive feature set updating algorithm for multimodal biometrics,NMIMS University,"MPSTM, NMIMS University, Mumbai","Bhakthi Vendanth Swami Marg, Near Cooper Hospital, JVPD Scheme, Vile Parle West, Mumbai, Maharashtra 400056, India",19.10988330,72.83754300,edu, +5cbc9bb8b7bf21b07e1eb868d718d132311bce90,Large-scale image recognition based on parallel kernel supervised and semi-supervised subspace learning,China,China,China,35.86166000,104.19539700,edu, 5c2ee7136e7672543f529548b57884f644cc3570,Content-Based Image Retrieval Using Iterative Search,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +5ce5c3c427d0e696c2c5ac93e76a319529dc0115,Kernel locality-constrained adaptive iterative neighbor embedding for face hallucination,Nanjing University of Posts and Telecommunications,"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046",32.10574800,118.93170100,edu, 5c107e9d3e09bc33c416cd214d3760ba8c32a470,EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu, 5cc4c125e4fac9377c3dc6218bcb6b6b37d9af4e,CrowdVerge: Predicting If People Will Agree on the Answer to a Visual Question,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +5c892db3c3959fbe6ab488df93c86d97d704f837,A Framework for the Design and Simulation of Embedded Vision Applications Based on OpenVX and ROS,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 5c21646d709daa1d9db51caae614c91da3342db8,Feature Selection Based on Structured Sparsity: A Comprehensive Study,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 5c91fc106cfe9d57a9b149c1af29ca84d403fc7e,3D Pose Tracking With Multitemplate Warping and SIFT Correspondences,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 5c97b70b4e2430dfb9e98bcfeaac77c87e45359e,Semantic context extraction from collaborative networks,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu, @@ -1839,15 +2567,26 @@ fdfdf08ed0d6e5f656ce25c99b02d5424fe4640d,A Framework for Combining Statistical a 5c2ad03a1f8f08a44c597870a2d3f9e518833668,Face verification with changeable templates,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 5c60f84f041432f27b6578eb586aa3a754f7a25f,Latent Structure Preserving Hashing,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, 5c31c8b75469336cc89373067022af810f4eb19e,Novel low level local features for 3D expression invariant face recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +5c4f9260762a450892856b189df240f25b5ed333,Discriminative Elastic-Net Regularized Linear Regression,China,China,China,35.86166000,104.19539700,edu, 5ca325182e134923de0bd59d38594479c551aaa8,Facial Expression Recognition for Different Pose Faces Based on Special Landmark Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 5c669416ecb41245b2525afcf4fb962d8b871ac1,Human identification using body prior and generalized EMD,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 5c5a9e1c2579dd101fec87c723c747f3eda9dc00,Real-time deep image super-resolution via global context aggregation and local queue jumping,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 5c617a3fbc92cda09175b2afb3eef2a91e37938b,Real-time traffic light detection from videos with inertial sensor fusion,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, +68dbd8c2d61cfe7e3b896ab47850b95c3ce349a8,Low-rank constrained collaborative representation for robust face recognition,China,China,China,35.86166000,104.19539700,edu, +68eb648a6e18ac15ee31bcabbce64c45db619639,GMM based approach for human face verification using relative depth features,India,India,India,20.59368400,78.96288000,edu, 68d7cd64fe0cdb22d44249ec09c195b32a9ed3cd,Fast Object Detection with Occlusions,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, +68d1c9d5cf3c4530171d1e88fee777592e00e1f2,Relaxed collaborative representation for face recognition based low-rank matrix recovery,China,China,China,35.86166000,104.19539700,edu, +6818c60209f0c4f979d1ff4211aba49afe9ae78d,Face Liveness Detection Using a Flash Against 2D Spoofing Attack,Fu Jen Catholic University,"Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan","No. 88, Section 4, Tingzhou Road, Wenshan District, Taipei City, Taiwan 116",25.00668100,121.53573100,edu, 68eb33c49b7cf7d5df056cf0113bd21bb2659151,"What could move? Finding cars, pedestrians and bicyclists in 3D laser data",Oxford University,Oxford University,"University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK",51.75208490,-1.25166460,edu, +68604e7e1b01cdbd3c23832976d66f1a86edaa8f,Facial Recognition System for Suspect Identification Using a Surveillance Camera,India,India,India,20.59368400,78.96288000,edu, +68f09c4615291a88a6cb0268e767ca9e085844fd,Uniface: A Unified Network for Face Detection and Recognition,"China Mobile Suzhou Software Technology Co., Ltd., Suzhou, China","China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China","Gusu, Suzhou, Jiangsu, China, 215000",31.29856420,120.58466150,company, 68021c333559ab95ca10e0dbbcc8a4840c31e157,A framework for joint facial expression recognition and point localization,Otto-von-Guericke-University Magdeburg,"Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany","Universitätspl. 2, 39106 Magdeburg, Germany",52.14020530,11.64419910,edu, 6847a733a907eb215abd466e5bdf0b57bdec4cf2,Illumination Invariant Face Recognition,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, +68667c5d7144c4ad5c8d447c9891356ebcc83e3f,Core-set based product quantization for large-scale multimedia search,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, +68fa3ebde4c9da70cea15b57f547a97bf3b698cd,Face recognition with contiguous occlusion based on image segmentation,China,China,China,35.86166000,104.19539700,edu, +68d566ed4041a7519acb87753036610bd64dcc09,Lighting Estimation of a Convex Lambertian Object Using Redundant Spherical Harmonic Frames,Northeastern University at Qinhuangdao,"College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China","143 Taishan Rd, Haigang Qu, Qinhuangdao Shi, Hebei Sheng, China, 066004",39.92357000,119.55580900,edu, 68f19f06f49aa98b676fc6e315b25e23a1efb1f0,Robust pose normalization for face recognition under varying views,"Samsung SAIT, Korea","Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea","130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea",37.25202260,127.05550190,company, +6813208b94ffa1052760d318169307d1d1c2438e,Multiple Models Fusion for Emotion Recognition in the Wild,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 68e6cfb0d7423d3fae579919046639c8e2d04ad7,Multi-task ConvNet for blind face inpainting with application to face verification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 68437099d962ad09844f8d553db83c29292e8723,Localizing components on printed circuit boards using 2D information,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 689d6bc6e99bbfedfabc0654724139348dbae37c,Object-Level Video Advertising: An Optimization Framework,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, @@ -1855,17 +2594,24 @@ fdfdf08ed0d6e5f656ce25c99b02d5424fe4640d,A Framework for Combining Statistical a 68c5b4d9ce2a0c75ba515870923a4bd1b7d8f9b5,Crowded scene understanding algorithm based on Two-Stream Residual Network,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 682e889fdfa43278d616d3fe18cec3126a4382a5,Using layered object representation to detect partially visible airplanes in remote sensing images,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 683874b070da69ce358ed5dd673ebe3e42fc2137,Figure-ground segmentation by transferring window masks,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +68b01f77c7c4c09c725ff8a6081aa20ac5fbbb39,Multi-user identification and efficient user approaching by fusing robot and ambient sensors,"Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, 70569 Stuttgart, Germany","Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, 70569 Stuttgart, Germany","Nobelstraße 12, 70569 Stuttgart, Germany",48.74075610,9.09687310,company, 681a624e58560745cdc232d9c11a015575d179e7,Multimodal information fusion for urban scene understanding,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +6843531814f19799c86af271b8643411360549e8,Person re-identification using salient region matching game,Nanjing University of Posts and Telecommunications,"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046",32.10574800,118.93170100,edu, +68e239671615101ce3db879888a27be64b8ee0e3,CNN based key frame extraction for face in video recognition,Clarkson University,"Clarkson University, 8 Clarkson Ave, Potsdam, New York","8 Clarkson Ave, Potsdam, NY 13699, USA",44.66376110,-74.99854400,edu, 68f8997b5c6c59028eac099621cbbd583549d35c,Anisotropic diffusion algorithm based on weber local descriptor for illumination invariant face verification,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +dc093a8975f97c5c1f18550cf7298982b0c5cdfd,Continuous stereo camera calibration in urban scenarios,University of the Bundeswehr Munich,"Institute for Autonomous Systems Technology(TAS), University of the Bundeswehr Munich, 85577 Neubiberg, Germany","Werner-Heisenberg-Weg 39, 85579 Neubiberg, Germany",48.08029640,11.63820080,mil, dcc4ee602d3b0ea9baee81dd7c7886fb19ac1e20,Pedestrian detection via contour fragments,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, dc1105c7171a0922bfde7612aa069231720ee694,Face image retrieval based on shape and texture feature fusion,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, dcc8c248ab26da04760b50dec4623ee6ea099ef1,Eye movements affirm: automatic overt gaze and arrow cueing for typical adults and adults with autism spectrum disorder,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, +dc84d3f29c52e6d296b5d457962c02074aa75d0f,Relative Forest for Visual Attribute Prediction,China,China,China,35.86166000,104.19539700,edu, dc0c1f211cc684a3b0e6d992fda60cdca8ffe53a,Electrophysiological evidence for parts and wholes in visual face memory,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, dc5d9399b3796db7fd850990402dce221b98c8be,New Robust Metric Learning Model Using Maximum Correntropy Criterion,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +dca6ce475f6c2496a5f87e853d18e4b37fb27fb2,Kernel Sparse Representation Based Dimensionality Reduction with Applications to Image Classification,Shaoguan University,"Shaoguan University, Shaoguan, Guangdong, China","Qujiang, Shaoguan, Guangdong, China",24.77481700,113.67462900,edu, dc6ad30c7a4bc79bb06b4725b16e202d3d7d8935,Age classification with deep learning face representation,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, dc2f16f967eac710cb9b7553093e9c977e5b761d,Learning a lightweight deep convolutional network for joint age and gender recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, dc107e7322f7059430b4ef4991507cb18bcc5d95,Wide-angle micro sensors for vision on a tight budget,"Centeye, Inc.","Centeye, Inc.","4905 Reno Rd NW, Washington, DC 20008, USA",38.95353190,-77.07186700,company, dcd85851e488a18a3eefee3a2828f15f107f174c,Extreme learning machine as a generalizable classification engine,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +dc0341e5392c853f11283e99a7dc5c51be730aca,Simple head pose estimation in still images,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, dce54bd12826fd86de660e8bb1ac7ba19198aa98,"Accurate iris center localization method using facial landmark, snakuscule, circle fitting and binary connected component",Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, dc4b239e76bdc6fb2aba4cc352f0ff5d2892367e,A new keyframe decision mechanism with translation constraint for visual slam,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, dcb50e1f439d1f9b14ae85866f4542e51b830a07,Spatiotemporal local orientational binary patterns for facial expression recognition from video sequences,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, @@ -1874,8 +2620,14 @@ dc5fc803b64b49217babab378efe29f35b697d2f,Directional Edge Boxes: Exploiting Inne dca8ad055f33ddc2015e870b3ee331a6de524399,Semantic soft segmentation,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, dcea30602c4e0b7525a1bf4088620128d4cbb800,Rapid human action recognition in H.264/AVC compressed domain for video surveillance,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, dce5896abd1a9ff4399ddedd87ed96d988645639,Investigating the feasibility of image-based nose biometrics,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +dc5e9f75235dcb4ec39259f82574cd6ffd3611de,Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems,"Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France","Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France","4 Place Jussieu, 75005 Paris, France",48.84710360,2.35749900,edu, 79a166bf02402f7ed9947b826afc72f24f65b311,When do Crowds Turn Violent? Uncovering Triggers from Media,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, +79cabc5664dade1d486f076a124a92859269b80e,Detection of mud on camera lens for advance driver assistance system,India,India,India,20.59368400,78.96288000,edu, +791d46aa9cdd40bc9d82067a2e9b71785c62838b,Hallucinating face by eigentransformation,China,China,China,35.86166000,104.19539700,edu, +79584ed8638392e253ffae2d5ec936239d088285,An approach to face detection and alignment using hough transformation with convolution neural network,India,India,India,20.59368400,78.96288000,edu, +798de108d7055752d0d2d97fbff6579c0c750e82,Domain adaptive sparse representation-based classification,India,India,India,20.59368400,78.96288000,edu, 79f4bd6b3f0ebc4b81c13e7720c42285464a858b,Can discriminative cues aid face recognition across age?,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, +790099d124b798ff055a8ab3ec49bfb5d2d5350e,Pedestrian Detection in Video Images via Error Correcting Output Code Classification of Manifold Subclasses,Graduate University of Chinese Academy of Sciences,"College of Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China","China, Beijing, Haidian, Zhongguancun South 1st Alley, 中关村南一条",39.98177000,116.33008600,edu, 79d6d077a543a7b789d42dd10c5e102bbe2cbf2c,Manifold convex hull (MACH): Satisfying a need for SPD,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 7914c3f510e84a3d83d66717aad0d852d6a4d148,Relative attribute guided dictionary learning,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 795b555abb26e62ad89a93645122da530327c447,The enhanced face recognition using binary patterns of Gabor features,Jahangirnagar University,Jahangirnagar University,"Jahangirnagar University, 1342, University Main Road, সাভার, সাভার উপজেলা, ঢাকা জেলা, ঢাকা বিভাগ, 1342, বাংলাদেশ",23.88331200,90.26939210,edu, @@ -1886,7 +2638,10 @@ dce5896abd1a9ff4399ddedd87ed96d988645639,Investigating the feasibility of image- 79fd4baca5f840d6534a053b22e0029948b9075e,Neutral-independent geometric features for facial expression recognition,"Otto-von-Guericke-University, Magdeburg","Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39106, P.O. Box 4210 Germany","Universitätspl. 2, 39106 Magdeburg, Germany",52.14020530,11.64419910,edu, 790fb309a30e3d96efdeb5b16a29a79b7a67aa24,Combining fractal hourglass network and skeleton joints pairwise affinity for multi-person pose estimation,Huaqiao University,Huaqiao University,"华侨大学站 HuaQiao University (BRT), 集美大道, 集美区, 集美区 (Jimei), 厦门市 / Xiamen, 福建省, 361024, 中国",24.60047120,118.08165740,edu, 79bcc554fbdeb36c1d7d8966522012acf803c999,Liveness detection based on 3D face shape analysis,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, +7957abae15f631c5f5c50de68aa2ad08fe1f366f,SVM classifier for face recognition based on unconstrained correlation filter,India,India,India,20.59368400,78.96288000,edu, +797230c284a24ae7b3c9781f8188a59345b90838,Improving robot reactivity to passers-by with a faster people detector,"LAAS-CNRS and Universite Paul Sabatier, Toulouse, France","LAAS-CNRS and Universite Paul Sabatier, Toulouse, France","7 Avenue du Colonel Roche, 31400 Toulouse, France",43.56334270,1.47686950,edu, 795c8a097e74618e862f77659cb212333ef79a48,Features and fusion for expression recognition — A comparative analysis,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +79617903c5cb56697f2e738e1463b9654e2d68ed,Maximum Margin Correlation Filter: A New Approach for Localization and Classification,"Lockheed Martin Corporation, Orlando, FL, USA","Lockheed Martin Corporation, Orlando, FL, USA","5600 Sand Lake Rd, Orlando, FL 32819, USA",28.44478130,-81.45927550,company, 792f04e729f1a3efa42d40bb9c57cbcb5e6d880c,Hill-climbing attack to an Eigenface-based face verification system,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 7920936d6468b027cf52793f6ac6a05b550d87d7,Style adaptive contour tracking of human gait using explicit manifold models,Yeungnam University,Yeungnam University,"영남대, 대학로, 부적리, 경산시, 경북, 712-749, 대한민국",35.83654030,128.75343090,edu, 79f69d04a9614fbeab554048802c25118033cbd6,Automatic Face Recognition Using Stereo Images,University of Sheffield,The University of Sheffield,"University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK",53.38152480,-1.48068143,edu, @@ -1894,93 +2649,152 @@ dce5896abd1a9ff4399ddedd87ed96d988645639,Investigating the feasibility of image- 79931447522097044cbc89e4bc2f69dd6e8f0e58,Person Re-identification by Multi-hypergraph Fusion,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 7935f644c8044c0d3b81e2842e5ecc3672698bbb,Frequency guided bilateral symmetry Gabor Wavelet Network,"Samsung SAIT, Korea","Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea","130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea",37.25202260,127.05550190,company, 799629203a7055764380b12b0406b94653de325e,Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +7975f12187a7686d861054649845ccc634c3b00f,Facial expression analysis using a sparse representation based space model,China University of Petroleum (East China),"College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, China","Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000",37.46230770,118.50053220,edu, 794a51097385648e3909a1acae7188f5ab881710,Accurate eye localization in low and standard definition content,"Philips Research Eindhoven, HTC 34, Netherlands","Philips Research Eindhoven, HTC 34, Netherlands","High Tech Campus 34, 5656 AE Eindhoven, Netherlands",51.41175220,5.45866520,company, 7918e3e15099b4b2943746e1f6c9e3992a79c5f3,Non-negative matrix factorization as a feature selection tool for maximum margin classifiers,"Epson Research and Development Inc., San Jose, CA","Epson Research and Development Inc., San Jose, CA","214 Devcon Dr, San Jose, CA 95112, USA",37.37445600,-121.91274020,company, +e994ae6b25c082a541cd68354ef4e4952420f705,Ultrasound time mapping based human face identification system,"Advanced Diagnostics and Progressive Human Care Research Group, Universiti Teknologi Malaysia, Malaysia","Advanced Diagnostics and Progressive Human Care Research Group, Universiti Teknologi Malaysia, Malaysia","Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia",1.56327890,103.63821900,edu, +e963ac953e084f6223a5d8379a52631508426ed7,"FCN and LSTM Based Computer Vision System for Recognition of Vehicle Type, License Plate Number, and Registration Country","SQUALIO Cloud Consulting, Riga, Latvia","SQUALIO Cloud Consulting, Riga, Latvia","Krišjāņa Valdemāra iela 21, Centra rajons, Rīga, LV-1010, Latvia",56.95686400,24.11378210,edu, +e96540252f2f83e394012d653452411efb9f744f,Face expression recognition system based on ripplet transform type II and least square SVM,India,India,India,20.59368400,78.96288000,edu, e9cebf627c204c6949dcc077d04c57eb66b2c038,A method for extraction of affective audio-visual facial clips from movies,Bahçeşehir University,Bahcesehir University,"BAU Galata, 24, Kemeraltı Caddesi, Müeyyedzade, Beyoğlu, İstanbul, Marmara Bölgesi, 34425, Türkiye",41.02451875,28.97697953,edu, e9a76f501ae3b2dca197f4b273aba19826dd4113,Bootstrapping deep feature hierarchy for pornographic image recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e96c45f0809189a5fcf208f508205c6ffc3d8684,An image edge mask for face identity verification,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, e9336cd4c63139c481c2ed9624b04f5b9a477d80,Dynamic objects detection and tracking for a laser scanner and camera system,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, e96cef8732f3021080c362126518455562606f2d,Binary Coding by Matrix Classifier for Efficient Subspace Retrieval,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, +e989a827fa3b00941410364cd3507e4779bffb69,Person re-identification by the asymmetric triplet and identification loss function,China,China,China,35.86166000,104.19539700,edu, e9dd49970d259ec267d7c23a62215db37b986e49,Face recognition based on fusion of Gabor and 2DPCA features,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, e95cdc2997760c90aaaac6561c84e68d5f94aa36,Alextrac: Affinity learning by exploring temporal reinforcement within association chains,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, e96ce25d11296fce4e2ecc2da03bd207dc118724,Classification of face images using local iterated function systems,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, e9bb5c25833050dd4bb64376a7e5a36d4d8f36fc,Hybrid component-based face recognition,University of KwaZulu-Natal,University of KwaZulu-Natal,"238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa",-29.86742190,30.98072720,edu, e9e215b9910c8009e80d8edd77f3bbcce9666207,Large-Scale Situation Awareness With Camera Networks and Multimodal Sensing,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, e9abb5213189190df98530df4771a95b8fc0fd96,Research On Face Image Clustering Based On Integrating Som And Spectral Clustering Algorithm,Communication University of China,Communication University of China,"中国传媒大学, 朝阳路, 定福庄, 朝阳区 / Chaoyang, 北京市, 100024, 中国",39.91199955,116.55189141,edu, +e99718d08aca2c49cd2848eebdbb7c7855b4e484,Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu, e957d0673af7454dbf0a14813201b0e2570577e9,COATL - a learning architecture for online real-time detection and classification assistance for environmental data,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu, +e95c5aaa72e72761b05f00fad6aec11c3e2f8d0f,Gabor Filter Based Face Recognition Using Non-frontal Face Images,India,India,India,20.59368400,78.96288000,edu, +e935270db6bd778283de9767075763a538181d8e,"Detection of multiple, co-occurring actions in video frames","PES Center for Pattern Recognition, PESIT- Bangalore South Campus, India","PES Center for Pattern Recognition, PESIT- Bangalore South Campus, India","Hosur Rd, Konappana Agrahara, Electronic City, Bengaluru, Karnataka 560100, India",12.86145150,77.66470810,edu, e905d36e04aeb356c07182b840ebcabb417e7c9b,From local representation to global face hallucination: A novel super-resolution method by nonnegative feature transformation,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +e98022f21f7d31a056e027bd1d499a5285ed52f7,Face recognition under partial occlusion and noise,Slovak University of Technology,"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava, Bratislava, Slovakia","Ilkovičova 2961/3, 841 04 Karlova Ves, Slovakia",48.15185320,17.07334460,edu, e93a67a091e6d51a762a5e9754d3a12654508f31,Contextural feature evaluation of multi-resolution imagery,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, e9e72259ed3db0ffbf7ee9b3efdbf06e992ea1b9,Using data compression to enhance the security of identification document,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +e9b6804cd56cadb9342ec2ce412aacba7afd0723,Face recognition from video using generalized mean deep learning neural network,India,India,India,20.59368400,78.96288000,edu, +e9b72a152928f683aad5f81347777534b6715e67,Person re-identification with mutual re-ranking,University of Information Technology,"Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam","Khu phố 6 P, Vietnam",10.87030000,106.80345130,edu, e90124684b0cd67feb14cda51d9afe9fe73ba05e,Semi-coupled basis and distance metric learning for cross-domain matching: Application to low-resolution face recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, e9809c0c6bf33cfe232a63b0a13f9b1263c58cb8,Bayesian Constrained Local Models Revisited,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu, e9bbbdc38971a375756434406f574704819ef14d,Multi-view facial expression recognition,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, e9d1b3767c06c896f89690deea7a95401ae4582b,Hierarchical class-specific kernel discriminant analysis for face verification,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +25110f89ffe3d3c49945b06771d0e27d4a2761e6,Local directional gradient pattern: a local descriptor for face recognition,India,India,India,20.59368400,78.96288000,edu, +25b2811118ed73c64682544fe78023bb8242c709,Kernel-based multifactor analysis for image synthesis and recognition,China,China,China,35.86166000,104.19539700,edu, 2525f336af31178b836e27f8c60056e18f1455d2,Temporally enhanced image object proposals for videos,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +25bfe2d9fc573c2250ec3d7b084a0d50db06004f,Deep discriminative network with inception module for person re-identification,China,China,China,35.86166000,104.19539700,edu, 258b3b1df82186dd76064ef86b28555e91389b73,Initial Shape Pool Construction for Facial Landmark Localization Under Occlusion,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +252f912df6f301eb35923f97dda5db731fed2446,The role of emotional scenes in facial expressional recognition: Priming versus contextual effect,China,China,China,35.86166000,104.19539700,edu, 25764e6e767c49feb9a92e4a0cb2210796843c88,Enhanced Reweighted MRFs for Efficient Fashion Image Parsing,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, 2564920d6976be68bb22e299b0b8098090bbf259,Face recognition algorithm based on cascading BGP feature fusion,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +2596b967f0768b64a12e53b24661ffe8f2ac4d1b,Plastic Surgery: A New Dimension to Face Recognition,India,India,India,20.59368400,78.96288000,edu, +250c0c37947d6dc32e1923c8df99bf64dc5d7e10,Implicit Negative Sub-Categorization and Sink Diversion for Object Detection,China,China,China,35.86166000,104.19539700,edu, +255290a1c4ff72ee7c6d78474e4fc4e62cdb1f31,An improvement of multi-scale covariance descriptor for embedded system,Carthage University,"MMA Laboratory, National Institute of the Applied Sciences and Technology, Carthage University, Tunis, Tunisia","676 INSAT Centre Urbain Nord BP، Tunis Cedex 1080, Tunisia",36.84289300,10.19620200,edu, 251281d9cbd207038efbde0515f4077541967239,Dense body part trajectories for human action recognition,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, 2502cdfb39474bf14407c2f6a1a4663d83d4bc0d,Revisiting robustness of the union-of-subspaces model for data-adaptive learning of nonlinear signal models,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, 256b46b12ab47283e6ada05fad6a2b501de35323,Pose estimation using Spectral and Singular Value recomposition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 2549ac0d3f40c1f6d72f641c2f05a17aef4bf42a,Spatiotemporal facial features encoding for facial expression analysis in image sequences,University of Oradea,University of Oradea,"Universitatea Creștină Partium - Clădirea Sulyok, 27, Strada Primăriei, Orașul Nou, Oradea, Bihor, 410209, România",47.05702220,21.92270900,edu, +25dbf9b12475454585d5050c5cf446e1c4f6dd27,"Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera","ETH Zurich, Zurich and ESAT-PSI/IBBT, KU Leuven","ETH Zurich, Zurich and ESAT-PSI/IBBT, KU Leuven","Zürich, Switzerland",47.37688660,8.54169400,edu, 25d7067e0120c6eb863f03a420e644ebbcf2ceed,Ongoing Evolution of Visual SLAM from Geometry to Deep Learning: Challenges and Opportunities,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, 25866eb48b94e85fa675b1d393163d27ffd62ba6,Multiple feature subspaces analysis for single sample per person face recognition,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 25cb142df18df30c416f5f41170d6b8c7ab2b957,Implementation of face cartoon maker system based on android,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 250b73ec5a4f78b7b4ea3aba65c27fc1352154d5,Constrained Multi-View Video Face Clustering,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 25d35a9153463faaef9413c26db598f36755735d,Joint probability estimation of attribute chain for zero-shot learning,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +2564848f094f7c1cd5e599aa907947b10b5c7df2,Intelligent Expression Blending for Performance Driven Facial Animation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +252f01e74cc32435da52a42229c8102a88698e3a,Domain Adaptation on Correlated subspace for Unseen Multiview Headpose Classification,India,India,India,20.59368400,78.96288000,edu, +254d4206f4a68862e6e6c45b0938868e84cc67d0,Comparison of face image quality metrics: Electronic and legacy mug shots,India,India,India,20.59368400,78.96288000,edu, 55fdff2881d43050a8c51c7fdc094dbfbbe6fa46,Transferring deep representation for NIR-VIS heterogeneous face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +550e5d7f607951d7e33e8f23eb6b6bc97780915a,"Combining Facial Parts For Learning Gender, Ethnicity, and Emotional State Based on RGB-D Information",Mohammed V University in Rabat,"LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco","Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.، Rabat 10102, Morocco",33.97023350,-6.87447300,edu, +55f7699e768457d40c5232448cdca4503db2821b,Temporal consistency object tracker with ranking mechanism,China,China,China,35.86166000,104.19539700,edu, 556f9e77bdd170f18c1a4ffd492d1f0e6b7ee289,No Reference Quality Assessment for Screen Content Images With Both Local and Global Feature Representation,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 55f80ddcb49dbb45c4fc9d42da006580bd6690b5,GRANet: Global Refinement Atrous Convolutional Neural Network for Semantic Scene Segmentation,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +5585f55bbfae39b032a24521ce65f905afd69a3e,Machine Learning VS Transfer Learning Smart Camera Implementation for Face Authentication,"Le2i EA, Université de Bourgogne Franche-Comté, Dijon, FRANCE","Le2i EA, Université de Bourgogne Franche-Comté, Dijon, FRANCE","UFR Sciences et Techniques, allée Alain Savary, 21000 Dijon, France",47.31256900,5.07361200,edu, 55051432e6051d588d8aaa715042118c4e1014bb,An Embarrassingly Simple Approach to Visual Domain Adaptation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +55d01b7314d78fe3bc5ae03b6e414ecba14188f8,"Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval",India,India,India,20.59368400,78.96288000,edu, 5535ecf25b0ab5b2ebf26af15fc2caf62e25dad3,Supervised Discrete Hashing With Relaxation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 550a7764e30f9805484e10d5b9936c539c5cd2df,Detection and tracking of groups in crowd,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +5567d6ac4f88b48bd1fb364e546236131a64fecb,Generalized Fourier Descriptors with Applications to Objects Recognition in SVM Context,"Laboratory of Electronics (EμE), FSM, Monastir, Tunisia","Laboratory of Electronics (EμE), FSM, Monastir, Tunisia","Monastir, Tunisia",35.76419550,10.80505100,edu, 559645d2447004355c83737a19c9a811b45780f1,Combining view-based pose normalization and feature transform for cross-pose face recognition,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +55968c9906e13eff2a7fb03d7c416a6d0f9f53e0,HFS: Hierarchical Feature Selection for Efficient Image Segmentation,"UCSD, San Diego, USA","UCSD, San Diego, USA","9500 Gilman Dr, La Jolla, CA 92093, USA",32.88006040,-117.23401350,edu, +5552d34933adcc74d0e3ca8cdbb93cfe3b1aaf46,Automatic Eye Gaze Estimation using Geometric & Texture-based Networks,India,India,India,20.59368400,78.96288000,edu, 553a605243b77a76c1ed4c1ad4f9a43ff45e391b,Experimental evaluation of facial expression recognition,Xinjiang Normal University,"College of Computer Science and Technology, Xinjiang Normal University, Urumchi, 830054, China","311 Nongda E Rd, Shayibake Qu, Wulumuqi Shi, Xinjiang Weiwuerzizhiqu, China, 830000",43.81413200,87.56629700,edu, 559bdd52d77c1d5c60d9d837168f4b8affec877d,Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels,University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu, 559f611d95138c6d4255e493f59de33f9f786538,"1D-PCA, 2D-PCA to nD-PCA",University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 556b05ab6eff48d32ffbd04f9008b9a5c78a4ad7,EyeOpener: Editing Eyes in the Wild,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 550a7ea61ca745a127b767b2267f237d5fcabd50,Partially-occluded face recognition using weighted module linear regression classification,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, 552122432b92129d7e7059ef40dc5f6045f422b5,Empowering Simple Binary Classifiers for Image Set Based Face Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1,Are we ready for autonomous driving? The KITTI vision benchmark suite,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 55c4efc082a8410b528af7325de8148b80cf41e3,"Integrated System for Face Detection, Clustering and Recognition","National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +552020318f81082b06d7ba12f0010e27d360d77b,Decision fusion for frontal face verification,"Fakulti TeknologiDan Sains Maklumat, UKM, Bangi, 43600 Selangor, Malaysia","Fakulti TeknologiDan Sains Maklumat, UKM, Bangi, 43600 Selangor, Malaysia","43600 Bangi, Selangor, Malaysia",2.91795020,101.77127760,edu, +55c46ae1154ed310610bdf5f6d9e7023d14c7eb4,Adaptive multimodal recognition of voluntary and involuntary gestures of people with motor disabilities,Pennsylvania State University,Pennsylvania State University,,,,edu, 550351edcfd59d3666984771f5248d95548f465a,Diverse Expected Gradient Active Learning for Relative Attributes,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 551a11f9db279cb1485b1598adb8552d345c265e,Person identification from human walking sequences using affine moment invariants,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 55d9b72b2110e3a0a6fd7b002eee17945280ba15,A real-time system for detecting indecent videos based on spatiotemporal patterns,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, 55914406aff8ecf3cba6aae0728898d5531fa2e6,Fast training and selection of Haar features using statistics in boosting-based face detection,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 55f669d7def736aa2f9454a8645cadc55df9ad87,SSGA & EDA based feature selection and weighting for face recognition,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, f56e997d239c9176f45ae2352064700f31d5047c,Discriminative dictionary learning with low-rank regularization for face recognition,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +f5edbb47a9a200c17f0c34ec8cb6fc4a2f9cfc20,Method of multimodal biometric data analysis for optimal efficiency evaluation of recognition algorithms and systems,Russia,Russia,Russia,61.52401000,105.31875600,edu, f510071fd7fdc6926e3958ebb85518bcfea17f89,3D face reconstruction from images under arbitrary illumination using Support Vector Regression,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, f5d9da15409bbed02a640c4e716a456b659c8346,Attentional convolutional neural networks for object tracking,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, f52db83298a918d6ad7bda8263f91904807c4ced,Transferring pose and augmenting background for deep human-image parsing and its applications,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, +f5f5db54551556418c45ef009cec4647e7d0bc58,Facial Expression Recognition by Calculating Euclidian Distance for Eigen Faces Using PCA,India,India,India,20.59368400,78.96288000,edu, +f56e31e46720f12b421632c4cc9a56469a681732,BigSUR: large-scale structured urban reconstruction,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu, f5cfcefeb52bfed6c8f84b035824ce8a8112837d,A discriminative tracklets representation for crowd analysis,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, f5a95f857496db376d69f7ac844d1f56e3577b75,"The LDOS-PerAff-1 corpus of facial-expression video clips with affective, personality and user-interaction metadata",University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, f5a22d8f49c0a3038cd5cacb017819a7bf781ef3,"I Lead, You Help but Only with Enough Details: Understanding User Experience of Co-Creation with Artificial Intelligence",Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +f5f56fc9eb19923520aaef6703426552a713680b,Visual-based on-road vehicle detection: A transnational experiment and comparison,"Research Center for Smart Vehicles, Toyota Technological Institute, Hisakata, Nagoya, Aichi, Japan","Research Center for Smart Vehicles, Toyota Technological Institute, Hisakata, Nagoya, Aichi, Japan","2 Chome-12-1 Hisakata, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0034, Japan",35.10657600,136.98301800,edu, +f53ac4a7f9dc5b641fed6a48187e12fc9cac7a87,How to compare search engines in CBIR?,"Systems Research Institute, Polish Academy of Sciences, 6 Newelska Street, 01-447 Warsaw, Poland","Systems Research Institute, Polish Academy of Sciences, 6 Newelska Street, 01-447 Warsaw, Poland","Newelska 6, 01-001 Warszawa, Poland",52.24588500,20.94025000,edu, +f54ce6b62e9889832d891f2aada677171d4219fe,Concept-Level Multimodal Ranking of Flickr Photo Tags via Recall Based Weighting,India,India,India,20.59368400,78.96288000,edu, f5a00153cb49c2f66b072832adf053ebabf50850,Real-time pedestrian warning system on highway using deep learning methods,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, f5ebdf848234729984489c97c6d255190b5bd345,Breaking the Limitation of Manifold Analysis for Super-Resolution of Facial Images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +f56c407f918cf89ffa2ec3c51c383d53510c10e1,A progressive method of face clustering for mobile phone applications,"Samsung R&D, Bangalore, India","Samsung Research & Development Institute, Bangalore, India","#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India",12.98035370,77.69751010,company, f515aea60852c9c302fcd8645106966eeb11469f,Facial adaptive BM3D filter: A method for compressed face image deblocking,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, f5c57979ec3d8baa6f934242965350865c0121bd,An Across-Target Study on Visual Attentions in Facial Expression Recognition,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +f5be2fae5ba5e7d3550565867e6b79abef8e3f0a,Online Learning of Discriminative Patterns from Unlimited Sequences of Candidates,Finland,Finland,Finland,61.92411000,25.74815110,edu, 6e53acae2e9909affde44e339d8db5fcda42aac7,Interpolation of low resolution images for improved accuracy in human face recognition,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, +6eee5d9c5343b7953028a49d202caa683ed9b448,The Research of Multi-angle Face Detection Based on Multi-feature Fusion,China,China,China,35.86166000,104.19539700,edu, +6e4f07882d417a76fd7f25d89e848f944c3b3c3e,Recognizing objectionable images using convolutional neural nets,Shahrood University of Technology,"Shahrood University of Technology, Shahrood, Iran",استان سمنان، شاهرود، خیابان دانشگاه، Iran,36.39347730,54.94178380,edu, +6e7302a08e04e2120c50440f280fb77dcd5aeb35,Emotion recognition with multimodal features and temporal models,China,China,China,35.86166000,104.19539700,edu, 6e7ffd67329ca6027357a133437505bc56044e65,Facial expressions recognition system using Bayesian inference,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu, 6e4a1850bcb2b76d8e08ecf1d80d15722aaf6fe8,A self-organizing lattice Boltzmann active contour (SOLBAC) approach for fast and robust object region segmentation,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu, 6e0121e3e8caa27d6283e75fd13a323aa37d0df4,Holistic Crowd Interaction Modelling for Anomaly Detection,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 6e2aef91d8a1457cfbea51f92bfc04956a289829,Online visual gyroscope for autonomous cars,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, +6e87f48c283d4e7df9f8f69505d1c54714c02a17,A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features,India,India,India,20.59368400,78.96288000,edu, 6ec275755f8776b620d0a4550be0e65caf2bc87a,Action Unit recognition in still images using graph-based feature selection,Technical University of Sofia,"Faculty of Telecommunications, Technical University of Sofia, Bulgaria","ulitsa ""Akademik Stefan Mladenov"" 1, 1700 Studentski Kompleks, Sofia, Bulgaria",42.65608530,23.34765230,edu, 6ecb8f65ba1ede4877d75979b1540503e568303c,OmniArt: A Large-scale Artistic Benchmark,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +6e92d77c934c4c86ce824e67ef63d625735aa187,Automatic colon polyp detection in endoscopic capsule images,"Digital Optics Corporation, Bucharest, Romania","Digital Optics Corporation, Bucharest, Romania","Bucharest, Romania",44.42676740,26.10253840,edu, 6e95e9fdc73d75017dbe32a13a868d0942d5c9c3,Patch-based Markov random fields for fast face occlusion recovery,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, 6eaf739f30ebbbe827e5fed3bdb7aa73d1241b19,Face Verification using Gabor filtering and adapted Gaussian Mixture Models,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 6ec8bb9c7aaec908b76dad89529c5ded7cab8e83,Continuous Energy Minimization for Multitarget Tracking,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 6e5d7632f15a7071e2af88d2d86d4b2171f30e71,Improving face recognition with a quality-based probabilistic framework,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, 6ec9d179badd083ef7d64863f0ba36b38a2eef15,Human face recognition based on adaptive deep Convolution Neural Network,Soochow University,Soochow University,"苏州大学(天赐庄校区), 清荫路, 钟楼社区, 双塔街道, 姑苏区, 苏州市, 江苏省, 215001, 中国",31.30709510,120.63573987,edu, +6e8d9202480e3c52ca5a207a9ab7841deb8d101c,Proposed architecture of a fully integrated modular neural network-based automatic facial emotion recognition system based on Facial Action Coding System,Romania,Romania,Romania,45.94316100,24.96676000,edu, 6e73bb17cf29e8e79dfded2564e314b6265aa5a4,Approximate Orthogonal Sparse Embedding for Dimensionality Reduction,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +6ed483dbd967c035976830e65d0cea4fde4ac14a,Incremental Accelerated Kernel Discriminant Analysis,"CERTH-ITI, Thessaloniki, Greece","CERTH-ITI, Thessaloniki, Greece","Thermi 570 01, Greece",40.56676110,22.99801470,edu, +6e318d89e8e3ea0ac40be9d06e6acfc624b30f76,Automatic detection of gaze direction for NLP applications,Romania,Romania,Romania,45.94316100,24.96676000,edu, f3745aa4a723d791d3a04ddf7a5546e411226459,The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +f33d121705e9b7775cf6a8bb1f602f093fc8cf2c,Deep Representation for Finger-Vein Image-Quality Assessment,University of Paris-Saclay,"SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France","Courcouronnes, 9 Rue Charles Fourier, 91000 Évry, France",48.62468830,2.44325110,edu, f3e005e567f16fa55c54b4c1b17f4538d799c7de,The Construction of The Facial Expression Video Database,University of Tokushima,The University of Tokushima,"大学前, 国道11号, 徳島市, 徳島県, 四国地方, 770-0815, 日本",34.07880680,134.55898100,edu, +f35953687697b3455fe89b1f07504daaa6ebf4c8,Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu, f374ac9307be5f25145b44931f5a53b388a77e49,Improvements in Active Appearance Model based synthetic age progression for adult aging,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu, +f3dab33e5f00e80ed4ce97d3443e96eb0ee96301,AdapNet: Adaptive semantic segmentation in adverse environmental conditions,India,India,India,20.59368400,78.96288000,edu, +f30860a38945ebcef57484a977937dc0294d0ce6,Coherent Semantic-Visual Indexing for Large-Scale Image Retrieval in the Cloud,China,China,China,35.86166000,104.19539700,edu, f3084f7f60fe087c66606f21a1df6de890feeea8,Not All Negatives Are Equal: Learning to Track With Multiple Background Clusters,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +f3c4e3c50f1213cf74f30b1dae9717cfdf465a36,View-invariant gait recognition based on kinect skeleton feature,China,China,China,35.86166000,104.19539700,edu, f334b6abbab88dcf562be2de4d7fe16f15997cf5,Fast Image-Based Geometric Change Detection Given a 3D Model,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, +f354cd137fdc40a3ff6a4004f2a052966c275627,Very Fast Semantic Image Segmentation Using Hierarchical Dilation and Feature Refining,China,China,China,35.86166000,104.19539700,edu, +f32ba87d83419a67ff462374dc26fd7976ef0778,Improving Speaker Diarization of TV Series using Talking-Face Detection and Clustering,"Université Paris-Saclay, Orsay, France","Paris-Sud,Université Paris-Saclay, Orsay, France","15 Rue Georges Clemenceau, 91400 Orsay, France",48.69768470,2.17648390,edu, f31b271bd0d17fd4a2ed302c3bac6ae4f548b180,Learning statistically relevant edge structure improves low-level visual descriptors,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, f306c0d24a5eb338b7a577a17d8b35d78716d880,Dual-Transfer Face Sketch–Photo Synthesis,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, f3d0d2f66ab04d9b8d6a590b339cd692b22174df,Tracking in multimedia data via robust reweighted local multi-task sparse representation for transportation surveillance,Zhejiang Normal University,Zhejiang Normal University,"浙江师范大学, 688, 迎宾大道, 柳湖花园, 金华市, 婺城区 (Wucheng), 金华市 / Jinhua, 浙江省, 321004, 中国",29.13646725,119.63768652,edu, +f31cd51c87e64bfdd5c2c9259ae40b5add8cfcc3,Locatization of human eyes based on a series of binary images,China,China,China,35.86166000,104.19539700,edu, +f3084731f770a2cda8350edef38d975bebf2ce35,A Unified Cloud Platform for Autonomous Driving,Baidu,Baidu,"1195 Bordeaux Dr, Sunnyvale, CA 94089, USA",37.40922650,-122.02366150,edu, f39783847499dd56ba39c1f3b567f64dfdfa8527,On categorising gender in surveillance imagery,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +f3a8e2eb5190cadd037b722e7c1190c2d1148f10,Local Line Derivative Pattern for face recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, f3da40ce7b2ca04dc52aed04cc99820dc38a2be7,Evaluation of face recognition techniques for application to facebook,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +f3f06ab2acce6aacb0cbf709784ee7d90df27969,A novel improvement to PCA for image classification,China,China,China,35.86166000,104.19539700,edu, 659dc6aa517645a118b79f0f0273e46ab7b53cd9,Age-invariant face recognition using a feature progressing model,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 65e19cd4f848451758f23779fd86ba7f12f18ea0,Kinship Measurement on Face Images by Structured Similarity Fusion,Capital Normal University,Capital Normal University,"首都师范大学, 岭南路, 西冉村, 海淀区, 100048, 中国",39.92864575,116.30104052,edu, 653f3d16a192f23769d277097e981f49b14289b8,Tracking and Recognition of Multiple Faces at Distances,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -1988,22 +2802,27 @@ f3da40ce7b2ca04dc52aed04cc99820dc38a2be7,Evaluation of face recognition techniqu 65d705bbcc10f42683503b3599327c816265d951,Articulated Motion and Deformable Objects,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 657bc02d1522eaa89c05e60ec8c5614b0574843f,Who are like me: Fast human pose retrieval in unconstrained environments,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 6584c3c877400e1689a11ef70133daa86a238602,Supervised Committee of Convolutional Neural Networks in Automated Facial Expression Analysis,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu, +657bea04a19eebecc4519030a26d6337d3e31840,Curvelet-based illumination invariant feature extraction for face recognition,University of Nottingham Malaysia Campus,a The University of Nottingham Malaysia Campus,"The University of Nottingham Malaysia Campus, Jalan Broga, Bandar Rinching, Semenyih, Selangor, 43500, Malaysia",2.94384320,101.87361960,edu, 65c2464aeec7b6ea84a05529576d421e19944e15,Face image super resolution by linear transformation,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 6534a1e93a18220fc2c6a8920fba5d583314d8ff,Traffic-Sign Spotting in the Wild via Deep Features,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 6502cf30c088c6c7c4b2a05b7777b032c9dde7cd,Learning Compact Binary Face Descriptor for Face Recognition,Capital Normal University,Capital Normal University,"首都师范大学, 岭南路, 西冉村, 海淀区, 100048, 中国",39.92864575,116.30104052,edu, +652c53f0fad0cb2664ece79dc593ffa35616beb1,A fast pedestrian detection via modified HOG feature,China,China,China,35.86166000,104.19539700,edu, 657e702326a1cbc561e059476e9be4d417c37795,Face detection based on multi task learning and multi layer feature fusion,"SIASUN Robot and Automation, Shenyang, China","Shenyang SIASUN Robot & Automation Co., LTD., Shenyang, China","Shenyang, Liaoning, China",41.80569900,123.43147200,company, 65c7058623c19980c75be8ea5790f4a641b6846e,Sparse regularized discriminative canonical correlation analysis for multi-view semi-supervised learning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, cec70cf159b51a18b39c80fac1ad34f65f3691ef,Joint Attributes and Event Analysis for Multimedia Event Detection,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, cef58d5b3e76a2ee1c157a6b1ea3329dc7624e6c,Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, ce56df12d12e8bbac451647a8e2ac5c9a52ed240,Human face recognition under occlusion using LBP and entropy weighted voting,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, +cefdfc7f7348a500772a4d5347ccf26706302d8b,Fast stereo-based pedestrian detection using hypotheses,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, cefaad8241bceb24827a71bf7c2556e458e57faa,Local Structure-Based Image Decomposition for Feature Extraction With Applications to Face Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, ce60c28cce422e1b8fec262eb2eb1b72b78c3e47,Pedestrian detection using heuristic statistics and machine learning,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, ce8db0fe11e7c96d08de561506f9f8f399dabbb2,Weighted sparse representation using a learned distance metric for face recognition,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, +ce51d6533f4ef7f2c7dc417342b7e72211c4c516,Human Gait Recognition using Deep Neural Networks,India,India,India,20.59368400,78.96288000,edu, cef9e528ff7fc8b3c7ed6fc0147c4db207bbe6df,Robust Quantization for General Similarity Search,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, ce06644d1d71e258363407288638ce76b561fadc,Intuitive gesture based user identification system,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, ce588a19ac2390e22839b26de12f76fe215a7035,Applying the frechet distance to the specific emitter identification,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, ce43209fc68e51ef05fa06cc0fe6210cbd021e3f,Fused One-vs-All Features With Semantic Alignments for Fine-Grained Visual Categorization,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, ce30ddb5ceaddc0e7d308880a45c135287573d0e,Exploiting implicit affective labeling for image recommendations,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, +cea7c0381100d0aad780e31386c304ff76b0b9ed,Exploiting a depth context model in visual tracking with correlation filter,China,China,China,35.86166000,104.19539700,edu, ce1ee9a23e935a16edbd0c2c56de7c99f4c0b34a,Pedestrian detection based on merged cascade classifier,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, ceaed903eaeaa1a541831e2c70b4b3251de67719,An original face anti-spoofing approach using partial convolutional neural network,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, ce1466c5656a1af9078299aae69b46a2cae7146c,Facial expression analysis and expression-invariant face recognition by manifold-based synthesis,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, @@ -2012,34 +2831,55 @@ ce5747733e8d796ca98a8d2b465f9bc3cbf24931,SurvSurf: human retrieval on large surv cee02d8b9a63bd7f9b3cc394b84012eb44fffbaf,Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, ce3af5ccd47704252b2ec6bf4588c08b4435d32b,Biometric Recognition Using 3D Ear Shape,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, cea973a31280003a434705dfb9edd9d99b601d1e,Tensor Rank Preserving Discriminant Analysis for Facial Recognition,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, +cea2911ccabab40e9c1e5bcc0aa1127cab0c789f,Siamese multi-layer perceptrons for dimensionality reduction and face identification,University of Lyon,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France","20 Avenue Albert Einstein, 69100 Villeurbanne, France",45.78332440,4.87819840,edu, ced7811f2b694e54e3d96ec5398e4b6afca67fc0,Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain,"Nanyang Technological University, Singapore","Comput. Control Lab, Nanyang Technol. Univ., Singapore","50 Nanyang Avenue, Block N4 #02a-32, Singapore 639798",1.34619520,103.68154990,edu, +ceface94e4c73ff1458be056caf2c8312fd1a515,Fatigue detection based on isophote curve,China,China,China,35.86166000,104.19539700,edu, ceaf24a1c756938125ef5865ec2183730385d7ea,Discussions on Some Problems in Face Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +cec8936d97dea2fcf04f175d3facaaeb65e574bf,Large-Scale Video Classification with Elastic Streaming Sequential Data Processing System,China,China,China,35.86166000,104.19539700,edu, cedc0927edeba2f157e6ad1c356e8f6487fbb6f4,3D face recognition under partial occlusions using radial strings,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, +cee8ad964ff20dd5ff6c10c783ee271a7222987e,Benchmark for road marking detection: Dataset specification and performance baseline,China,China,China,35.86166000,104.19539700,edu, +ce9a22bb42ae68ed5bc2d19857f4fb46107a1712,Adaptive matching wavelet networks for face recognition,"Sch. of Software, Tsinghua Univ., Beijing, China","Sch. of Software, Tsinghua Univ., Beijing, China","30 Shuangqing Rd, Haidian Qu, Beijing Shi, China",39.99966740,116.32644390,edu, +cee3bafca4b8474ebff82c9661617ab6cacda6c7,Hierarchy of visual features for object recognition,India,India,India,20.59368400,78.96288000,edu, 31ffc95167a2010ce7aab23db7d5fc7ec439f5fb,Groupwise Retargeted Least-Squares Regression,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +314c4c95694ff12b3419733db387476346969932,Adaptive Metric Learning with the Low Rank Constraint,China,China,China,35.86166000,104.19539700,edu, +31c16cc4c5b9da82ade50de69ef834c7712df8a5,Extended class-wise sparse representation for face recognition,China,China,China,35.86166000,104.19539700,edu, 31bbb2901d6ff0f53886e44e69c818f3604b2223,A Hybrid Background Subtraction Method with Background and Foreground Candidates Detection,National Taipei University of Technology,National Taipei University of Technology,"NTUT, 1, 忠孝東路三段, 民輝里, 東區商圈, 大安區, 臺北市, 10608, 臺灣",25.04306355,121.53468772,edu, 31bf80c0c36993fda9eeb2cf277aef2723501971,Extended YouTube Faces: a Dataset for Heterogeneous Open-Set Face Identification,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 317d39381baba14edabc74de70890f946c7f8468,Feature subspace determination in video-based mismatched face recognition,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 319a27b8559e2301c9dbf0462bcf0ca6ad3449ad,Near-IR to visible light face matching: Effectiveness of pre-processing options for commercial matchers,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +3196d8797d600c98d49ea76ccc5dadd5a96e407a,Collaboration and spatialization for an efficient multi-person tracking via sparse representations,"CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France","CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France","7 Avenue du Colonel Roche, 31400 Toulouse, France",43.56334270,1.47686950,edu, +31f2ddd9af75c7f9bec515945bc6c3055fbe9801,Structure regularized self-paced learning for robust semi-supervised pattern classification,China,China,China,35.86166000,104.19539700,edu, 31a38fd2d9d4f34d2b54318021209fe5565b8f7f,Pose-Invariant Face Recognition Using Markov Random Fields,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 31dd6bafd6e7c6095eb8d0591abac3b0106a75e3,Face Recognition In Unconstrained Environment,Khon Kaen University,Khon Kaen University,"มหาวิทยาลัยขอนแก่น, 4, บ้านหนองหัวช้าง, ขอนแก่น, จังหวัดขอนแก่น, 40002, ประเทศไทย",16.46007565,102.81211798,edu, 31146bd416626d2bf912e0a0d12ca619fb49011b,Kansei and human experience analysis for mobile robot navigation in a ubiquitous environment,University of Aizu,University of Aizu,"会津大学, 磐越自動車道, 会津若松市, 福島県, 東北地方, 965-8580, 日本",37.52367280,139.93807246,edu, +31c846067016220b31fd442663ba42e50f524d25,Adaptive RGB Image Recognition by Visual-Depth Embedding,China,China,China,35.86166000,104.19539700,edu, 31c197a0e30f1aeb1414634968d1649e74cd8d0f,Deep correlation for matching images and text,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 312ce75c7b86333a03afc2cbf8f53047f7eab3d6,Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, +310dcf9edb491b63d09a9eb55a99ad6bb46da1d4,A learning-based human facial image quality evaluation method in video-based face recognition systems,China,China,China,35.86166000,104.19539700,edu, 3159c9423862b22c6326801ad4353ae2cfe30d32,Cross-Domain Traffic Scene Understanding: A Dense Correspondence-Based Transfer Learning Approach,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, 312a261d15bf3f3ae5187069aed5bd2821f881bf,Fusing hierarchical multi-scale local binary patterns and virtual mirror samples to perform face recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, 3109c36a10f2ef3f2368018a4125f5e2981b1918,Local Metric Learning for Exemplar-Based Object Detection,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 31f905d40a4ac3c16c91d5be8427762fa91277f1,Learning Rotation-Invariant Local Binary Descriptor,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 5f1cd82343f4bd6972f674d50aecb453d06f04ad,The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, 5f2c210644c1e567435d78522258e0ae036deedb,Biologically vs. Logic Inspired Encoding of Facial Actions and Emotions in Video,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +5fc97d6cb5af21ed196e44f22cee31ce8c51ef13,NeuroDSP Accelerator for Face Detection Application,"CEA, Gif-Sur-Yvette, France","CEA, Gif-Sur-Yvette, France","Jard des Merisiers, 91191 Gif-sur-Yvette, France",48.71264670,2.14778670,edu, 5fdf4a86a8991c32306379c809967d27d4cd18f9,Human detection using orientation shape histogram and coocurrence textures,"National Institute of Technology, Rourkela",National Institute of Technology Rourkela,"National Institute of Technology, inside the department, Koel Nagar, Rourkela, Sundargarh, Odisha, 769002, India",22.25015890,84.90668557,edu, 5f4219118556d2c627137827a617cf4e26242a6e,Explicit Shape Regression With Characteristic Number for Facial Landmark Localization,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 5f592ed440b5fd4f454429981ee76dec73f934b3,Multi-label classification via learning a unified object-label graph with sparse representation,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +5fc2d40dcf41fcc45db2e2a91ce615e3b170f189,Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation,China,China,China,35.86166000,104.19539700,edu, 5feee69ed183954fa76c58735daa7dd3549e434d,Mean shift clustering for personal photo album organization,"Istituto di Calcolo e Reti ad Alte Prestazioni, Palermo, Italy","Consiglio Nazionale delle Ricerche, Istituto di Calcolo e Reti ad Alte Prestazioni, Viale delle Scienze, 90128 Palermo, ITALY","Viale delle Scienze, 90128 Palermo PA, Italy",38.10304820,13.34789420,edu, +5ffaa04d15fd159c420cc10fddf15ae39a6db865,Semi-Online Multiple Object Tracking Using Graphical Tracklet Association,China,China,China,35.86166000,104.19539700,edu, 5feac72b2e2a88617ad959fb10b5c367a568d4f0,Rank Preserving Sparse Learning for Kinect Based Scene Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 5f448ab700528888019542e6fea1d1e0db6c35f2,Transferred Deep Convolutional Neural Network Features for Extensive Facial Landmark Localization,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 5f0d4657eab4152a1785ee0a25b5b499cd1163ec,Bandit Framework for Systematic Learning in Wireless Video-Based Face Recognition,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +5f87c992e5572cbab6896c9e86d8ea480e6be899,Discriminative Multidimensional Scaling for Low-Resolution Face Recognition,China,China,China,35.86166000,104.19539700,edu, 5fb59cf5b31a80d8c70d91660092ef86494be577,Real-time SVM-based emotion recognition algorithm,Hasselt University,"Faculty of Engineering Technology, Hasselt University, Diepenbeek, Belgium","E, Willem de Croylaan 56, 3001 Leuven, Belgium",50.85700400,4.67632950,edu, +5f54f38043ecba3871fe18529c89309267132127,Taxonomy augmented object recognition,China,China,China,35.86166000,104.19539700,edu, 5ff63170ae8eb78a055ab34f52b33756ce2b738e,Cancer classification with multi-task deep learning,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, +5fbc907ad8e765a00c26198ec954861d8c1f1bac,Accurate scale estimation based on unsynchronized camera network,Université de Rouen IRSEEM,"LITIS laboratory, INSA de ROUEN - Université de Rouen IRSEEM, ESIGELEC","685 Avenue de l'Université, 76800 Saint-Étienne-du-Rouvray, France",49.38497570,1.06832570,edu, +5ffa98b79702814770fdbe9de150b4420974f399,Audio-visual Identity Verification: An Introductory Overview.,"CNRS-LTCI, GET-ENST, 46 rue Barrault, 75013 Paris, France","CNRS-LTCI, GET-ENST, 46 rue Barrault, 75013 Paris, France","3 Rue Michel Ange, 75016 Paris, France",48.84760370,2.26399340,edu, +5fa6f72d3fe16f9160d221e28da35c1e67a5d951,A 700fps optimized coarse-to-fine shape searching based hardware accelerator for face alignment,Chinese Academy of Sciences&University of Chinese Academy of Sciences,"Institute of Semiconductors, Chinese Academy of Sciences&University of Chinese Academy of Sciences, Beijing, China","China, Beijing, Haidian, Zhongguancun South 1st Alley, 中关村南一条",39.98177000,116.33008600,edu, +5f4c09cce4971e2d1c066cd344cb3cd807cf7331,Fast Randomized Singular Value Thresholding for Low-Rank Optimization,China,China,China,35.86166000,104.19539700,edu, 5fa35645a0fe8f5e081302238a70a1963a1276d7,Learning a Multi-Concept Video Retrieval Model with Multiple Latent Variables,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 5fd9c7f6efa9902b926eaa8d49b8e46abf3af33a,Rotation invariant texture recognition by using Neighbor Discriminant Feature Transform and reinforcement learning,Mahanakorn University of Technology,Mahanakorn University of Technology,"มหาวิทยาลัยเทคโนโลยีมหานคร, 140, ถนนเชื่อมสัมพันธ์, กรุงเทพมหานคร, เขตหนองจอก, กรุงเทพมหานคร, 10530, ประเทศไทย",13.84450465,100.85620818,edu, 5f6d110e5e098a3ed5a68c688a89db733ef965bf,"Pedestrian detection using HOG, LUV and optical flow as features with AdaBoost as classifier","COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, @@ -2047,8 +2887,11 @@ cedc0927edeba2f157e6ad1c356e8f6487fbb6f4,3D face recognition under partial occlu 9d4692e243e25eb465a0480376beb60a5d2f0f13,Positional Ternary Pattern (PTP): An edge based image descriptor for human age recognition,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu, 9da9b85e93a880aa5f026ca02bb188a445d909f2,Aligned discriminative pose robust descriptors for face and object recognition,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 9dc91a889b6f6383681b768ce4f6fecf40e7d471,Road segmentation via iterative deep analysis,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +9dc42551849d808f66dccf2e02c4f047a69c4d89,Counting people using gradient boosted trees,China,China,China,35.86166000,104.19539700,edu, 9d7199db4897724c06fff907727458ff2660e7a5,A Survey on Human Performance Capture and Animation,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu, +9d18904e73c71f6b54dc13aa622ca0f7844d9503,Penalized collaborative representation based classification for face recognition,China,China,China,35.86166000,104.19539700,edu, 9d2b597c4bfb9d1c188f37e6e22866786c791598,A framework of configurable multi-engine systems based on performance matrices for face recognition,University of Kent,University of Kent,"University of Kent, St. Stephen's Hill, Hackington, Canterbury, Kent, South East, England, CT2 7AS, UK",51.29753440,1.07296165,edu, +9d5ee493ee1b7955bbc71b13edc7f97efe53d743,JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery,"Simula Research Laboratory, Oslo, Norway","Simula Research Laboratory, Oslo, Norway","Martin Linges vei 25, 1364 Fornebu, Norway",59.89486240,10.62893450,edu, 9d46485ca2c562d5e295251530a99dd5df99b589,Real-time face recognition for human-robot interaction,"Instituto Nacional de Astrofísica, Óptica y Electrónica, Mexico","Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro #1, Tonantzintla, Puebla, Mexico","Luis Enrique Erro 1, Sta María Tonanzintla, 72840 Puebla, Pue., Mexico",19.03231070,-98.31537020,edu, 9d7fa2e1a7c0a821477ceb4d4eff75eeb6574625,Torso orientation: A new clue for occlusion-aware human pose estimation,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 9d00e7465dcafa40f9e0fa0939aa648184c84b4d,Labeling Spain With Stanford,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu, @@ -2058,6 +2901,7 @@ cedc0927edeba2f157e6ad1c356e8f6487fbb6f4,3D face recognition under partial occlu 9d3377313759dfdc1a702b341d8d8e4b1469460c,Cast2Face: Assigning Character Names Onto Faces in Movie With Actor-Character Correspondence,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 9df86395c11565afa8683f6f0a9ca005485c5589,"Facial expression recognition using active contour-based face detection, facial movement-based feature extraction, and non-linear feature selection",Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, 9d0ac8e084fd6ac32528aa480f71fab4b4f5d3a1,Bottle Detection in the Wild Using Low-Altitude Unmanned Aerial Vehicles,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +9d27197ecc73ac0c3a664499c62975068251bf9c,Studying Object Naming with Online Photos and Caption,NICTA / Australian National University,"NICTA / Australian National University, Canberra, Australia","Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 9d530c341b3eda84c0b0a2c3149232daf16056f4,Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 3b20082bd64d8af4041611434ef23fdef57616a8,Binary Segmentation Based Class Extension in Semantic Image Segmentation Using Convolutional Neural Networks,University of Stuttgart,University of Stuttgart,"Pädagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-Württemberg, 71634, Deutschland",48.90953380,9.18318920,edu, 3b3686f87f9a22db2bda99cb279c817e7f8a001b,Person re-identification method based on CNN and manually-selected feature fusion,Guilin University of Electronic Technology Guangxi Guilin,Guilin University of Electronic Technology Guangxi Guilin,"桂林电子科技大学金鸡岭校区, 1号, 金鸡路, 七星区, 黄莺岩村, 七星区, 桂林市, 广西壮族自治区, 541004, 中国",25.28739920,110.33242770,edu, @@ -2068,10 +2912,13 @@ cedc0927edeba2f157e6ad1c356e8f6487fbb6f4,3D face recognition under partial occlu 3b350afd8b82487aa97097170c269a25daa0c82d,Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition,Old Dominion University,Old Dominion University,"Old Dominion University, Elkhorn Avenue, Lamberts Point, Norfolk, Virginia, 23508, USA",36.88568200,-76.30768579,edu, 3b5afa25af267061f3a9075c1029b0838bc4d94d,Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 3bd05ce100075dbc29fc87c95d2fe9cbc1476ea0,Face image assessment learned with objective and relative face image qualities for improved face recognition,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +3bdcfa660fa278a9528bea6617f86055f6ef03a8,A critical review on Image Mosaicing,India,India,India,20.59368400,78.96288000,edu, +3b42b5174a35c87194b42af583a618f21be8ddf8,Non Verbal Behaviour Analysis for Distress Detection Using Texture Analysis,"Regional Centre IHRD, Thiruvananthapuram, India","Regional Centre IHRD, Thiruvananthapuram, India","Puthuppally Lane,, Medical College Kumarapuram Rd, Thiruvananthapuram, Kerala, India",8.52127180,76.93132150,edu, 3ba85313a578e6a094f7e547c8356c7f4766001b,Learning to combine local models for facial Action Unit detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 3b5d3e38690b4d76f77bbf90a45f17403d28857c,Synthesis-based recognition of low resolution faces,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 3b99c007994340381b6a2ba15346ce03c323b523,Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 3bfa630a6dc6d1ca98e7b43c90dd9e8b98e361d6,Deep CCA based super vector for action recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +3bbf722c8d35bf3f7efb6361c5e2e58961f3d886,Facial curves between keypoints for recognition of 3D faces with missing parts,University of Firenze,"University of Firenze, Firenze, Italy","Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 3b6cbd6eee1b75bf6f608065126408d3c3d71e99,Online multi-object tracking based on global and local features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 3bfb9ba4b74b2b952868f590ff2f164de0c7d402,Minimizing Illumination Differences for 3D to 2D Face Recognition Using Lighting Maps,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 3bd6621394ec33f5d48fc09278b497add44cf923,A novel advanced local binary pattern for image-based coral reef classification,Shiraz University,Shiraz University,"دانشگاه شیراز, میدان ارم, محدوده شهرداری منطقه یک - شهرداری شیراز, شیراز, بخش مرکزی شهرستان شیراز, شهرستان شیراز, استان فارس, 71348-34689, ‏ایران‎",29.63854740,52.52457060,edu, @@ -2079,46 +2926,74 @@ cedc0927edeba2f157e6ad1c356e8f6487fbb6f4,3D face recognition under partial occlu 3be772572a3cdd81f53298336c929571e0e096fa,Detecting and recognizing moving pedestrians in video,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, 3b56d4f2591b2e6191d82c8f3e2236c953c42e11,Automatic Near Real-Time Evaluation of 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 3bb9cb67390f134ced24f64e997ac825e0a16c34,3D constrained local model-based face recognition using Kinect under variant conditions,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, +3b63c3aef835d9fbe4ff8b20e797340ebbf2ace8,Multiple obstacle detection and tracking using stereo vision: Application and analysis,"Université Paris-Sud, Paris, France","CNRS IEF UMR 8622, Université Paris-Sud, Paris, France","3 Rue Michel Ange, 75016 Paris, France",48.84760370,2.26399340,edu, 3b8f605c86007f7f22131e7c31ca5c327304589f,A variational approach to simultaneous tracking and classification of multiple objects,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 3bf8e4d89b9e6d004de6ea52e3e9d68f6015f94b,"Binary ""proximity patches motion"" descriptor for action recognition in videos",University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +3b7f93327ec947194f327869a58073d8bb7259ed,Annotation driven MAP search space estimation for sliding-window based person detection,"Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany","Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany","Gutleuthausstraße 1, 76275 Ettlingen, Germany",48.94744960,8.41171790,company, 3b448e114097439f02bed44bceb6c8f823ba5f51,Fly wing biometrics,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +3bcdb430b373fc0fafec93bdcd8125db338b20e4,Sub-pattern based Maximum Margin Criterion for face Recognition,China,China,China,35.86166000,104.19539700,edu, 3b430466f7c7f26bf0dcb2f32646a67c0a611f0a,Contactless Palm Vein Recognition Using a Mutual Foreground-Based Local Binary Pattern,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, +3b4f6956aba3c0a8c444349868b2263d3124aa66,Seeded Laplacian: An interactive image segmentation approach using eigenfunctions,Engineering Mathematics - Computer and Systems Engineering,Engineering Mathematics - Computer and Systems Engineering,"110 8th St, Troy, NY 12180, USA",42.72962060,-73.68029310,edu, 3b9fa107e8d68590bfb7ac03056c02ed0aea1c29,Automated characterization of mouth activity for stress and anxiety assessment,University of Crete,University of Crete,"House of Europe, Μακεδονίας, Ρέθυμνο, Δήμος Ρεθύμνης, Περιφερειακή Ενότητα Ρεθύμνου, Περιφέρεια Κρήτης, Κρήτη, 930100, Ελλάδα",35.37130240,24.47544080,edu, +3bcb93aa2a5e5eda039679516292af2f7c0ff9ac,Terrain classification of hyperspectral remote sensing images based on kernel maximum margin criterion,China,China,China,35.86166000,104.19539700,edu, 3be7c0dbeebd1cd218d8c4751b0deffd5900c349,A case for the average-half-face in 2D and 3D for face recognition,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, f6fc112ff7e4746b040c13f28700a9c47992045e,Bi-Level Semantic Representation Analysis for Multimedia Event Detection,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +f6eb6f13cb0af1c1d99bf2c5293f7fdfd2b002ec,SLOOP: QoS-Supervised Loop Execution to Reduce Energy on Heterogeneous Architectures,Chalmers University of Technology,"Chalmers University of Technology, SE-412 96 Göteborg, Sweden","Chalmersplatsen 4, 412 96 Göteborg, Sweden",57.68970630,11.97416540,edu, f6c8c453aece2506fc660c06e048e7a550bb320b,Deep Learning From Noisy Image Labels With Quality Embedding,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +f6ad7fc8ab40c2c892dbaf3922b30fe0c0311c65,How to Wear Beautifully? Clothing Pair Recommendation,China,China,China,35.86166000,104.19539700,edu, f6f2a212505a118933ef84110e487551b6591553,Exemplar-embed complex matrix factorization for facial expression recognition,"University of Science, Vietnam","Fac. of Mathematics and Computer Sciences, University of Science, Ho Chi Minh City, Viet Nam","227 Đường Nguyễn Văn Cừ, Phường 4, Quận 5, Hồ Chí Minh, Vietnam",10.76241650,106.68120130,edu, +f6a574f597daf1c0252db61eb6ed8cb369b6851b,Locality discriminative canonical correlation analysis for kinship verification,China,China,China,35.86166000,104.19539700,edu, +f624e6a1f13a7a55454dd23871ab951b21d6c884,Robust 3D face recognition from low resolution images,"Centre for Research and Technology Hellas, Information Technologies Institute 57001, Thessaloniki, Greece","Centre for Research and Technology Hellas, Information Technologies Institute 57001, Thessaloniki, Greece","Thermi 570 01, Greece",40.56676110,22.99801470,edu, f64574ee0e6247b84d573ddb5c6e2c4ba798ffff,Class-Specific Subspace-Based Two-Dimensional Principal Component Analysis for Face Recognition,Chulalongkorn University ,Chulalongkorn University Bangkok,"จุฬาลงกรณ์มหาวิทยาลัย, 254, ถนนพญาไท, สยาม, แขวงปทุมวัน, เขตปทุมวัน, กรุงเทพมหานคร, 10330, ประเทศไทย",13.74311795,100.53287901,edu, +f64d17d32ba3ab1277ff4edf025503fc3ff87c14,Local auxiliary-color maximum vector pattern: A new feature descriptor for image indexing and retrieval,India,India,India,20.59368400,78.96288000,edu, f6480efe44e9a59737c1223ff7413bb2727cedd6,Illumination invariant face recognition for frontal faces using modified census transform,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, f64fecf010caa3a445381e7cabb81659ee6802a5,Recognizing face sketches by a large number of human subjects: A perception-based study for facial distinctiveness,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, f66add890c2458466e1cb942ad3981f8651ace2d,Video-based facial expression recognition using histogram sequence of local Gabor binary patterns from three orthogonal planes,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, f6b0f62871526f8c4680cc54aa6add755f1477b4,Fine Tuning Based SqueezeNet for Vehicle Classification,Kumamoto University,Kumamoto University,"熊本大学黒髪キャンパス, 熊本菊陽線, 中央区, 熊本市, 熊本県, 九州地方, 860-0863, 日本",32.81641780,130.72703969,edu, +f691d38efe4cb8ba6fbd812d54de4098ac992c3c,Person re-identification by Weber Local Descriptors and color features,China,China,China,35.86166000,104.19539700,edu, f6e6b4d0b7c16112dcb71ff502033a2187b1ec9b,Understanding Blooming Human Groups in Social Networks,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, +f6248644435c918f1b27d98bb29033376d3bd6d8,An efficient illumination invariant human face recognition using new preprocessing approach,India,India,India,20.59368400,78.96288000,edu, f6532bf13a4649b7599eb40f826aa5281e392c61,Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning,University of French West Indies and Guiana,"LAMIA, University of French West Indies and Guiana, EA 4540, Pointe-à-Pitre, France","Fouillole, Pointe-à-Pitre 97157, Guadeloupe",16.22427240,-61.52893250,edu, f6c63f514d4f261a5665c01b6ba4ccc0c69b788a,Representation Learning of Knowledge Graphs with Entity Attributes and Multimedia Descriptions,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +f6f4d887fb62d33a9a18cbb7bc58bd6247384a35,People detection in crowded scenes using hierarchical features,China,China,China,35.86166000,104.19539700,edu, f616c433671302eff23923d38ea87223202818f6,Model-Reuse Attacks on Deep Learning Systems,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu, f6311d6b3f4d3bd192d866d2e898c30eea37d7d5,Facial expression recognition based on discriminative dictionary learning,China University of Petroleum,"College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China","China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49号潍坊学院经济管理学院附近",36.71684600,119.18339500,edu, +f6f0585ee1e03044c5e346d66549a956886e42e0,Articulated Pose Estimation and Tracking: Introduction,"Disney Research, Pittsburgh, USA","Disney Research, Pittsburgh, USA","4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,company, +f6e58f54b82e19ccf7c397cf8200ebf5160eb73c,End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection,"CEDRIC, Conservatoire National des Arts et Métiers, Paris, France","CEDRIC, Conservatoire National des Arts et Métiers, Paris, France","32 Rue du Faubourg Saint-Martin, 75010 Paris, France",48.87008750,2.35638710,edu, f6f80fde9d9d5da840e5aef37d459baf9906daec,A 3.4-$\mu$ W Object-Adaptive CMOS Image Sensor With Embedded Feature Extraction Algorithm for Motion-Triggered Object-of-Interest Imaging,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, c018f62420913102fec2126f140a09dfb90893f4,Eye state recognition using the hamming distances of eye image intensities,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, c0b02be66a5a1907e8cfb8117de50f80b90a65a8,Manifold learning in sparse selected feature subspaces,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, c0ca42fa8788aa8cb6cd7d76337560615f9e8358,Real-time 3D face reconstruction from one single image by displacement mapping,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, c093506abe0d4a9fe2abc4f7bb0fe03cecaca4bd,Shadow Compensation Using Fourier Analysis With Application to Face Recognition,Kookmin University,Kookmin University,"국민대학교앞, 정릉로, 정릉2동, 정릉동, 성북구, 서울특별시, 02708, 대한민국",37.61075540,126.99466350,edu, +c0c98bca6cf04e5b19bd2363bdc2ee0ad0d63a75,On the synergism of evolutionary neuro-fuzzy system,"Harcourt Butler Technological Institute, Kanpur, INDIA","Harcourt Butler Technological Institute, Kanpur, INDIA","HBTU East Campus, Nawabganj, Kanpur, Uttar Pradesh 208002, India",26.49345150,80.30742360,edu, c07ab025d9e3c885ad5386e6f000543efe091c4b,Preserving Model Privacy for Machine Learning in Distributed Systems,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, c0f67e850176bb778b6c048d81c3d7e4d8c41003,Action recognition with gradient boundary convolutional network,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +c0e25fb09fc844a8b7002a0a4ae4d6f13c287537,CSPS: An Adaptive Pooling Method for Image Classification,China,China,China,35.86166000,104.19539700,edu, +c05733052172753c8736e07fa8004dbaacfb623d,Understanding the effective receptive field in semantic image segmentation,"Collaborative Innovation Center of International Dissemination of Chinese Language, Henan, China","Collaborative Innovation Center of International Dissemination of Chinese Language Henan Province (HNIDCL), Henan, China","Henan, China",34.29043020,113.38235450,edu, +27123e0e9743f27fb25e4f1a325a01c89240d0bc,Efficient Stixel-based object recognition,"Environment Perception Group, Daimler AG","Environment Perception Group, Daimler AG Group Research & Advanced Engineering, 71059 Sindelfingen, Germany","Sindelfingen, Germany",48.70745580,9.00440530,company, 2703b2e07bd0d11655f4f17a405b3f43ea13dd31,Multi-target tracking through occlusions using extended Kalman filter and network flows,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 273785b386eaf01be96e217a2a8aa1c2ee694c2e,ReRAM-based accelerator for deep learning,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 2729e12ecb777a553e5ed0a1ac52dd37924e813d,Discriminative GoDec+ for Classification,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 279459cbbc5c6db4802e9c737cc72a612d76f7fc,DMMLN: A deep multi-task and metric learning based network for video classification,"National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China","National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China","Zhengzhou, Henan, China",34.74661100,113.62532800,edu, +278c9b47199701d75a6eb9f4cff9ea88fc7fe63e,Automatic Facial Attractiveness Prediction by Deep Multi-Task Learning,"TuSimple, San Diego, USA","TuSimple, San Diego, USA","9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA",32.87344550,-117.20656360,company, 274cd31032db89a98b275af408ef5141a4d7b59e,Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, +275d19040241b22eb15dcbf51d3c5a2e0bfaf385,Real-time localization and navigation in an indoor environment using monocular camera for visually impaired,M S Ramaiah University of Applied Sciences,"M S Ramaiah University of Applied Sciences, Bangalore, India","University House, New BEL Rd, M S R Nagar, Gnanagangothri Campus, Bengaluru, Karnataka 560054, India",13.02909000,77.56986100,edu, +27c6f50eafc11957df59b8a6c1894600f3011802,An Extensible Local Surface Descriptor for 3D Object Recognition,China,China,China,35.86166000,104.19539700,edu, +2788dd3b087351ceb891f7497d64b438e8e5f808,An Empirical Study of Deformable Part Model with fast feature pyramid,China,China,China,35.86166000,104.19539700,edu, 27b451abfe321a696c852215bb7efb4c2e50c89f,Panoramic Face Recognition,Chang Gung University,Chang Gung University,"長庚科技大學林口校區, 261, 文化一路, A7合宜住宅, 樂善里, 木尾, 龜山區, 桃園市, 33301, 臺灣",25.03043800,121.39009513,edu, +27aa23d7a05368a6b5e3d95627f9bab34284e5c4,Sparse representation based on matrix rank minimization and k-means clustering for recognition,China,China,China,35.86166000,104.19539700,edu, 2710e1c58476e1996466530af825de6376a92833,Evaluation of discrimination power of facial parts from 3D point cloud data,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 278e1441a77fbeebb22c45932d76c557e5663197,Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 27812db1d2f68611cc284d65d11818082e572008,Computer vision for the blind: A dataset for experiments on face detection and recognition,University of Trieste,"DIA, University of Trieste, Italy","Via Alfonso Valerio, 6/1, Edificio C8, 34127 Trieste TS, Italy",45.66025100,13.79458400,edu, +27aadf6e7441bf40675874df1cf4bb7e2dffdd9e,Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, +2731da4a48291640b2698cd5909c283484db10c3,Multiple object tracking by incorporating a particle filter into the min-cost flow model,Harbin Institute of Technology (Shenzhen),Harbin Institute of Technology (Shenzhen),"China, Guangdong, Shenzhen, Nanshan, 平山一路",22.58675200,113.96878000,edu, 27f5cfd010f5414b7e0426d61df4f204432623a4,Iterative pedestrian segmentation and pose tracking under a probabilistic framework,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 2786b6571656b8a40776dad6899532d7863ff4f9,Image-set matching using a geodesic distance and cohort normalization,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, +27a5f4d813d355a33b4b1e4fc625e60ad072b64e,Application of Deep Convolutional Neural Network to Prevent ATM Fraud by Facial Disguise Identification,India,India,India,20.59368400,78.96288000,edu, 275b3cb7c780c663eabbf4d6c6cbc8fe24287c70,The Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition,University of Kent,University of Kent,"University of Kent, St. Stephen's Hill, Hackington, Canterbury, Kent, South East, England, CT2 7AS, UK",51.29753440,1.07296165,edu, 2744e6d526b8f2c1b297ac2d2458aaa08b0cda11,Example image-based feature extraction for face recognition,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 270acff7916589a6cc9ca915b0012ffcb75d4899,On the Applications of Robust PCA in Image and Video Processing,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, +275260b6118b56ee2a3d6bbdf250d0e424b4223c,Detection and tracking of objects with direct integration of perception and expectation,"Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany","Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany","76275 Ettlingen, Germany",48.94320800,8.39801720,edu, 27b630b8d189cc9d6315cdb031573184e7c875b3,Scene-Adaptive Hierarchical Data Association for Multiple Objects Tracking,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, bf37a81d572bb154581845b65a766fab1e5c7dda,Rotation-reversal invariant HOG cascade for facial expression recognition,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, bfecffd8fc8c309154b51e8d762fdc03918a2db0,Gender classification with Local Zernike Moments and local binary patterns,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, @@ -2127,18 +3002,32 @@ bf513a484bb1ba20185eb677b38e58cd12d03b79,Real-time implementation of stereo visi bf8e413869e96afa15ef3ff884cc7739eafa8308,Deep conditional neural network for image segmentation,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, bf3bf5400b617fef2825eb987eb496fea99804b9,Recognizing Minimal Facial Sketch by Generating Photorealistic Faces With the Guidance of Descriptive Attributes,"Tsinghua National Lab for Information Science and Technology, Beijing","Tsinghua National Lab for Information Science and Technology, Beijing, China","Shuangqing Rd, Haidian Qu, Beijing Shi, China, 100083",39.99674580,116.33229460,edu, bf7f554ec8f5f44e9c942237effd282a16efecf6,SALIC: Social Active Learning for Image Classification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +bf5064c9143fe2ec32abeff7351db82201372b7b,An EOG-Based Human–Machine Interface for Wheelchair Control,Affiliated Sichuan Provincial Rehabilitation HospitalChongqing Medical University,Affiliated Sichuan Provincial Rehabilitation HospitalChongqing Medical University,"Sichuan, China",30.26380320,102.80547530,edu, bf976d746b1223a60e93f6fcb1321e433eda94f6,Robust Color Invariant Model for Person Re-Identification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +bf8fcb7860bc89c332d87ebacd260bdc5a30b4ce,"Face recognition using Symlet, PCA and cosine angle distance measure",India,India,India,20.59368400,78.96288000,edu, bf30477f4bd70a585588528355b7418d2f37953e,Facial expression recognition based on static and dynamic approaches,"Universidad Argentina de la Empresa, Argentina","Universidad Argentina de la Empresa (UADE), Lima 717, Buenos Aires, Argentina","Lima 775, C1073 AAO, Buenos Aires, Argentina",-34.61709410,-58.38204780,edu, +bf4780c028ba42bceb222bde11450672138602f5,Person re-identification based on CCN feature representations learning,China,China,China,35.86166000,104.19539700,edu, bf065e114e50120a6f2718d656ff56823cec639e,Active inference for retrieval in camera networks,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu, +bfba87606ff05b4065548e0e90be5b94404bb847,The algorithm studies of Hidden Markov Model in face distinguishing,China,China,China,35.86166000,104.19539700,edu, bf0836e5c10add0b13005990ba019a9c4b744b06,An enhanced independent component-based human facial expression recognition from video,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu, +bf2eb77e9b795a4a0a38ed4b1c8dd4b2c9a74317,Two-Stream Convolutional Network with Multi-level Feature Fusion for Categorization of Human Action from Videos,India,India,India,20.59368400,78.96288000,edu, +bf4f79fd31493648d80d0a4a8da5edeeaba74055,Adaptive Message Update for Fast Affinity Propagation,"NTT Service Evolution Laboratories, Kanagawa, Japan","NTT Service Evolution Laboratories, Kanagawa, Japan","Kanagawa Prefecture, Japan",35.44750730,139.64234460,company, bf5214de5a1460e01eccffb74c60a57b43cf099e,Supporting animal welfare with automatic tracking of giraffes with thermal cameras,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, bf92d7784a687b1aab20a0de2679498af641ab18,A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +bfab7043e206f428f98be47ecc02d506be1148d7,FaceCAPTCHA: a CAPTCHA that identifies the gender of face images unrecognized by existing gender classifiers,"Olaworks, Inc., Seoul, Republic of Korea","Olaworks, Inc., Seoul, Republic of Korea","Seoul, South Korea",37.56653500,126.97796920,edu, +bff80048f4efd4fc2082a37b7c8f645cdd9cc0c8,Accelerating a Computer Vision Algorithm on a Mobile SoC Using CPU-GPU Co-processing - A Case Study on Face Detection,Inha University,"Intelligent Technology Laboratory, Inha University, Incheon, Korea","100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea",37.45002210,126.65348800,edu, bf2248b03eb586c2249996412b336ac44b597fbb,High-accuracy fiducial markers for ground truth,University of Canterbury,University of Canterbury,"University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa",-43.52405280,172.58030625,edu, +bf2f2696fdb4077b5ab18aa583f6376acadf2438,Supervised descent method based on appearance and shape for face alignment,China,China,China,35.86166000,104.19539700,edu, +d246b50b99eb2d2f1e67b855e059002b96a64f86,LeSSS: Learned Shared Semantic Spaces for Relating Multi-Modal Representations of 3D Shapes,University of Mainz,University of Mainz,"Saarstraße 21, 55122 Mainz, Germany",49.99264030,8.24155520,edu, d2a415365f997c8fe2dbdd4e06ceab2e654172f6,Synthesis of emotional expressions specific to facial structure,"Indian Statistical Institute, Kolkata","Indian Statistical Institute, Kolkata","Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India",22.64815210,88.37681700,edu, d2fa8990bf4fb1eecd3019f3cc718c536118109c,3D Facial Landmark Localization Based on Two-Step Keypoint Detection,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +d26f0f3696d4b895e8ecafe7469164c4debacf89,Single sample face recognition based on DCT and local gabor binary pattern histogram,China,China,China,35.86166000,104.19539700,edu, d226eae6fe4b0198a96e9bc5106dbda8554ebd2e,A detection and tracking based method for real-time people counting,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, d2f2b10a8f29165d815e652f8d44955a12d057e6,Multiscale binarised statistical image features for symmetric face matching using multiple descriptor fusion based on class-specific LDA,Urmia University,Urmia University,"دانشگاه ارومیه, خیابان اداره گاز (منصور افشار), دانشکده, ارومیه, بخش مرکزی, شهرستان ارومیه, استان آذربایجان غربی, 444655677, ‏ایران‎",37.52914535,45.04886077,edu, d2a9abfe8d7b1163d055470c5b60394c3f0094b9,"Performance of a low-cost, human-inspired perception approach for dense moving crowd navigation",Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, +d2598c088b0664c084413796f39697c6f821d56e,Cross-modal face matching: Tackling visual abstraction using fine-grained attributes,China,China,China,35.86166000,104.19539700,edu, +d2a79aa924ae81034d9e1a9ceb9e3004ff3922f6,Collaborative representation with reduced residual for face recognition,China,China,China,35.86166000,104.19539700,edu, +d23ca7d5f846223b793a5694dcfd9cc931aac1aa,Secure multimodal biometric authentication with wavelet quantization based fingerprint watermarking,China,China,China,35.86166000,104.19539700,edu, d2b37d57b0326bfab3c5d6f9e2ec02f8b3f8fbba,3D face recognition based on fast feature detection and non-rigid iterative Closest Point,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, d2c24fd4b54fdb88e6574da7c42653a94078d58c,Neural network model of pumping units in oil preparation and pumping complex,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu, d2be07499aea3ef593fae5b2f6cd89fe627f4d98,Face Aging with Improved Invertible Conditional GANs,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, @@ -2146,17 +3035,22 @@ d2df6e68a686ecc95a1e44505379db005f83ab18,Crowd Density Estimation Based on a Mod d2f0b7392be6ec4d753c9414d57bfc18dcc407a0,Human arm pose modeling with learned features using joint convolutional neural network,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, d20ea5a4fa771bc4121b5654a7483ced98b39148,Set-to-Set Face Recognition Under Variations in Pose and Illumination,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, d203333f94c45cc6b885772b6e5453fc74231eca,Contactless palmprint recognition based on convolutional neural network,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, +bc8cbd105f45cdc447b6c7cf2093ec6a24b92728,Low illumination person re-identification,China,China,China,35.86166000,104.19539700,edu, bc703a84b98866aed444d8c3e72c58e5886ca44f,Automatic pose estimation of 3D facial models,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, bc9ae4b87888202bfa174ec4e8caee1a087ab994,Classification of smile expression using hybrid PHOG and Gabor features,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, +bcf2710d46941695e421226372397c9544994214,Facial expression recognition based on transfer learning from deep convolutional networks,China,China,China,35.86166000,104.19539700,edu, +bc14c01ac17f7b3527435a650503ca26f3c84aca,Person re-identification based on set-to-set metric learning,China,China,China,35.86166000,104.19539700,edu, bc9085fb366afe9444e30e5920f3db7042013262,Metadata-based understanding of impostor pair score variations,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, bc445bebf386b769263eed043e982bc1e4755080,Safe trajectory estimation at a pedestrian crossing to assist visually impaired people,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, bc5be2dacfb9b9a524bbce627268eaba70066236,Registration method between ToF and color cameras for face recognition,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, bc27d28a7f694025deb9f46432e751ce10ae194d,Eyeball model-based iris center localization for visible image-based eye-gaze tracking systems,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, bc66685acc64fa3c425c0ee6c443d3fa87db7364,Personal Clothing Retrieval on Photo Collections by Color and Attributes,"HP Labs, Palo Alto, CA","Hewlett-Packard Laboratories, Hewlett-Packard Company, Palo Alto, CA, USA","1501 Page Mill Rd, Palo Alto, CA 94304, USA",37.41233890,-122.14795950,company, +bcb79e3ac69508060c8cba105f6a8622eb929ab1,Robustifying compressed projections for expressive iris localization,Romania,Romania,Romania,45.94316100,24.96676000,edu, bc6c73d873272984e10969145e2d7ecc2738e41c,Comparative analysis of eyes detection on face thermal images,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, bc08dfa22949fbe54e15b1a6379afade71835968,Multiple Facial Action Unit recognition by learning joint features and label relations,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, bc607bee2002c6c6bf694a15efd0a5d049767237,A novel large-scale multimedia image data classification algorithm based on mapping assisted deep neural network,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu, bc307736ba15033c33cbff0ed15fc0fb96b7aef4,Democratizing the visualization of 500 million webcam images,Washington University,Washington University,"Dero, Wallace Drive, St. Louis County, Missouri, MO 63130, USA",38.64804450,-90.30996670,edu, +bc955487a0b8d2fae3f2f44320389a12ae28f0f5,Face Sketch–Photo Synthesis and Retrieval Using Sparse Representation,University of Technology,"Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia","Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia",-33.88405040,151.19922540,edu, bcead1a92744e76c38caaa13159de4abfb81b1d0,Bags-of-daglets for action recognition,Télécom ParisTech,"Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France","Business Pôle. 1047 route des Dolines. Allée Pierre Ziller, 06560 Sophia Antipolis, France",43.62716550,7.04109170,edu, bc7fdd91d351203f2820240b43b9aa4a66d0a8e3,Automatic Tuberculosis Screening Using Chest Radiographs,Guangdong Medical College,Guangdong Medical College,"医学院, 真如路, 凤凰新村, 天河区, 广州市, 广东省, 510635, 中国",23.12944890,113.34376110,edu, bc220d15a0f079e1ba2533494b04a8c40e8eb73c,Submarine Pipeline Identification in Side Scan Sonar Image,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, @@ -2165,42 +3059,63 @@ dd355e437cce079f6aa7080462cc377c110d8849,Multi-level convolutional channel featu ddd23ef5c1b25f77ea4e22ebd421df7a58a71818,Derivative code and its pattern for object recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, dd8a851f2a0c63bb97e33aaff1841695f601c863,Still-to-Video face recognition via weighted scenario oriented discriminant analysis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, dd829179231c2d7a51bdfaaed25afb7b82f9c9d2,A person re-identification algorithm based on pyramid color topology feature,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +ddd4287e62bf3bd422e0f372476c8d90ce115803,"Multifeature, Sparse-Based Approach for Defects Detection and Classification in Semiconductor Units","Assembly and Test Technology Development, Intel Corporation, Chandler, AZ, USA","Assembly and Test Technology Development, Intel Corporation, Chandler, AZ, USA","Chandler, AZ, USA",33.30616050,-111.84125020,edu, ddfc978b3a149015c9e517fbfe1b8563df5e7356,Face super resolution based on parent patch prior for VLQ scenarios,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, ddd0f1c53f76d7fc20e11b7e33bbdc0437516d2b,Deep learning-based learning to rank with ties for image re-ranking,Civil Aviation University of China,"College of Electronic Information and Automation, Civil Aviation University of China, Tianjin","2898 Jinbei Hwy, Dongli Qu, Tianjin Shi, China, 300300",39.11187740,117.34974510,edu, ddbb69b0f60960a29c3f861010ec55a22ab86d61,A novel face representation using local Zernike moments,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, dd87e53456d6cc6adbd04ac0a84a1314ce20835d,Three-dimensional Reconstruction of Heavily Occluded Pedestrians Using Integral Imaging,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, +dd8bc239c1c5a142ded241cebf6a0b7a0efbdee2,Real-time mask detection in multimedia environment,China,China,China,35.86166000,104.19539700,edu, dddd70fb2746a944e7428e2eb61ca06faff3fce9,Image-quality-based fusion approach for face recognition,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, ddbed5c2a4c6de4304e2b7aa1d074f5374970b1b,Summation invariant multi-region fusion comparison,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu, ddca5c18415bb855e76f9f459747685ee9c23a4d,MSMCT: Multi-State Multi-Camera Tracker,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, ddc17537f7895464523b5aff77d41d756a12bf18,Perceptually Aware Image Retargeting for Mobile Devices,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +dda820650eed893fd88d4bc9fe11fd238f3f4bbf,Optimizing Convolutional Neural Networks for low-resource devices,Romania,Romania,Romania,45.94316100,24.96676000,edu, dd6a938aeec20fe17eb9884387b98116a6fa7f5c,Semi-Supervised Image Classification With Self-Paced Cross-Task Networks,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, dd8ad6ce8701d4b09be460a6cf058fcd5318c700,Robust Face Recognition for Uncontrolled Pose and Illumination Changes,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, +dd0258367fadb632b612ccd84fbc1ef892e70aeb,Face Recognition Method Combining 3D Face Model with 2D Recognition,China,China,China,35.86166000,104.19539700,edu, dd6a34ee3408bc8844f6fa388e0e7287dfc03c5f,Scene-Specific Pedestrian Detection for Static Video Surveillance,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, ddccc58c84de4ed2051f72f9870f3f958080307a,Weighted Graph Embedding-Based Metric Learning for Kinship Verification,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, dd1a85e4c2ab2ed241af0e8d6e588498597abc8d,Low-resolution face recognition: a review,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +dd056ecfdcc8ce89a550e56887f1df1a66f5cbff,Body Structure Aware Deep Crowd Counting,China,China,China,35.86166000,104.19539700,edu, ddef0c93cd9f604e5905b81dc56818a477f171e2,Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, dda0f68fe949dc594ac3c42438d780adfe0d742e,A joint learning based Face Super Resolution approach via contextual topological structure,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +dd688b5e438f0b6bcd7121de03e518559516a306,Deep graph fusion for graph based label propagation,Shahid Rajaee Teacher Training University,"Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran","Tehran Province, Tehran, Lavizan، شعبانلو، Iran",35.77943690,51.49106890,edu, dd6ce56da6593add0e52951b46d198950554c025,Elliptical Higher-Order-Spectra Periocular Code,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, dd0086da7c4efe61abb70dd012538f5deb9a8d16,Face recognition by decision fusion of two-dimensional linear discriminant analysis and local binary pattern,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, dd5822e9287508db32162ad9852e3549c247417a,Non-rigid body object tracking using fuzzy neural system based on multiple ROIs and adaptive motion frame method,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu, ddf577e8b7c86b1122c1bc90cba79f641d2b33fa,A framework of face synthesis based on multilinear analysis,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, +ddd9d7cb809589b701fba9f326d7cf998a63b14f,What Can We Learn about Motion Videos from Still Images?,China,China,China,35.86166000,104.19539700,edu, ddc22765a8fa82d5e76cd7e1d6adf390fcc5b044,Histograms of Oriented Gradients for Landmine Detection in Ground-Penetrating Radar Data,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 34cbb133912723e90a87e50da3ab805eb7bf6070,Object-aware bundle adjustment for correcting monocular scale drift,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +34785299c5e8604f5b7c09c8190915da7429adbb,Biased Competition in Visual Processing Hierarchies: A Learning Approach Using Multiple Cues,"Honda Research Institute Europe GmbH, Offenbach, Germany","Honda Research Institute Europe GmbH, Offenbach, Germany","Carl-Legien-Straße 30, 63073 Offenbach am Main, Germany",50.08472490,8.84064370,edu, 34b14ae503f4555d0254fc78ceb01be09ec439e3,Facial feature localization using graph matching with higher order statistical shape priors and global optimization,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 34e5cd31cb05beed14a6e14b7c3158c0f67dd8cc,TaSaT: Thermal-Aware Scheduling and Tuning Algorithm for Heterogeneous and Configurable Embedded Systems,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu, +3409aa0ae519ee18043e347e60d85e53e452650a,EDA-based optimal Gabor kernel's scale and orientation selection for facial expression recognition,China,China,China,35.86166000,104.19539700,edu, +347e62b6a241462b192622f78413a2c724deb0aa,Benchmarking non-photorealistic rendering of portraits,"Adobe Systems, Inc.","Adobe Systems, Inc.","345 Park Ave, San Jose, CA 95110, USA",37.33093070,-121.89404850,edu, 346f03322807177d6a7011734d988cb8628821d9,Fault-tolerant training with on-line fault detection for RRAM-based neural computing systems,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 34351420203bae3f7be1c2866e63f34410f68099,Patterns of neural response in face regions are predicted by low-level image properties,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 34669c5ebc30be367f231cb2df705e347c34f07a,Local frechet distance in specific emitter identification,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +34cf0dd8eae31de7baf250cec94f8399a4fada1a,A biased sampling strategy for object categorization,China,China,China,35.86166000,104.19539700,edu, 34e11e351dd9ed2dc982016528708c5953a204bb,PARAFAC-based multilinear subspace clustering for tensor data,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 34c062e2b8a3f6421b9f4ff22f115a36d4aba823,A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology,Indian Institute of Technology Guwahati,"IIT Guwahati, Guwahati, India","Indian Institute of Technology Guwahati - IIT Guwahati, NH27, Amingaon, Guwahati, Kamrup, Assam, 781015, India",26.19247875,91.69463569,edu, 346d274167bf96389794646056b95785b78bf596,Forward stereo obstacle detection with Weighted Hough Transform and local temporal correlation,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 3417673c59544fcd33820a0a583a7543c70ac595,Multistream hierarchical boundary network for video captioning,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +34bae042a882c0c4db79bee95420792f9f25eccd,Density Enhancement-Based Long-Range Pedestrian Detection Using 3-D Range Data,China,China,China,35.86166000,104.19539700,edu, 349434653429733f5f49fe0e160027d994cef115,Facial expression recognition with discriminatory graphical models,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu, +34c2ea3c7e794215588c58adf0eaad6dc267d082,Multi-modal emotion recognition using semi-supervised learning and multiple neural networks in the wild,Inha University,"Intelligent Technology Laboratory, Inha University, Incheon, Korea","100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea",37.45002210,126.65348800,edu, 3441edf456e25b222d7b237b96faa7e3e00daaf7,Person re-identification via adaboost ranking ensemble,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 34964b22c248b304753179349ea84a2b2e9217d9,"Score-level fusion of fingerprint and face matchers for personal verification under ""stress"" conditions",University of Cagliari,"University of Cagliari, Italy","Via Università, 40, 09124 Cagliari CA, Italy",39.21736570,9.11492180,edu, +34301fbf4624139a40176dbde6f5954b2df6de7b,Facial expression recognition based on wavelet transform and MLP neural network,China,China,China,35.86166000,104.19539700,edu, +34dece36ee166864cf1b766d3243ba36fdf3f6e7,Summarisation of surveillance videos by key-frame selection,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, +34698ba3bf6b093781fc1bb89f1d0ba7c93ede3b,Human Age Estimation Based on Locality and Ordinal Information,China,China,China,35.86166000,104.19539700,edu, 344c0917c8d9e13c6b3546da8695332f86b57bd3,Semi-supervised multi-output image manifold regression,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, +34ca83537d5d5128dd80cd3c4cae3c45fa5f2263,Deep Supervised Hashing with Pairwise Bit Loss,China,China,China,35.86166000,104.19539700,edu, +34ccebc467bad0fc179543bde7d1bc04bed2397c,Recognizing Actions Through Action-Specific Person Detection,Finland,Finland,Finland,61.92411000,25.74815110,edu, 34fd227f4fdbc7fe028cc1f7d92cb59204333718,A Deep Face Recognition Method Based on Model Fine-tuning and Principal Component Analysis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 34f53b176b1fffe9ab8c1102dfbbe93a625850f0,A combined model for scan path in pedestrian searching,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, +34bb062432bb5a95f0cefae4dcf9936b850e9c39,Actlets: A novel local representation for human action recognition in video,"INRIA - Willow Project, Laboratoire d'Informatique, École Normale Supérieure, France","INRIA - Willow Project, Laboratoire d'Informatique, École Normale Supérieure, France","Institut National de Recherche en Informatique et en Automatique, 54600 Villers-lès-Nancy, France",48.66544710,6.15702390,edu, +21ad377aeb6ff099c5a59fa82cec95b0bba177bb,MCMC particle filter-based vehicle tracking method using multiple hypotheses and appearance model,"Daegu Gyeongbuk Institute of Science & Technology, Korea","Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea","223 Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, South Korea",35.70270780,128.45462720,edu, +21853e5624b6ac24c19659c336aa46eb4e491ee9,Evaluation of automatic 4D face recognition using surface and texture registration,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 2163d8cfafbac93ef36b955cf7f50c8ff589d3e5,A novel probabilistic approach utilizing clip attribute as hidden knowledge for event recognition,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, 21cbf46c6adfb3a44ed2b30ff0b21a8391c18b13,Learning robust latent subspace for discriminative regression,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, 2149d49c84a83848d6051867290d9c8bfcef0edb,Label-Sensitive Deep Metric Learning for Facial Age Estimation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -2211,9 +3126,15 @@ ddc22765a8fa82d5e76cd7e1d6adf390fcc5b044,Histograms of Oriented Gradients for La 211f413e811c7850446a1d24b52697b72c81176e,Humanoid robot locomotion control by posture recognition for human-robot interaction,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 21d5c838d19fcb4d624b69fe9d98e84d88f18e79,Attribute-based continuous user authentication on mobile devices,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 21959bc56a160ebd450606867dce1462a913afab,Face recognition based on manifold constrained joint sparse sensing with K-SVD,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +2116b13eb3af418ef02502715e8f3c98664e699a,An adaptive sparse representation model by block dictionary and swarm intelligence,China,China,China,35.86166000,104.19539700,edu, 216d66e6f006d94eac006d30378a5b8b487aa782,A comparative study on street sign detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 21392a527c80839067c0c814763f6b320ee6665e,Amdahl's law for tail latency,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +21ec41a6ee3c655cf54c6db659d56480fc76e742,Authentic facial expression analysis,Amsterdam University,"Fac. of Sci., Amsterdam Univ., Netherlands","1012 WX Amsterdam, Netherlands",52.35581820,4.95572630,edu, +21d7c74ed8a1c777debe96937c08b162ee01eac6,Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection,China,China,China,35.86166000,104.19539700,edu, 211744a5dfe8b03828bd6ffce4c5f8cc58ca9109,Activity recognition using dynamic subspace angles,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +21732ecbba1a75d54e8b90c1804f0b77953466e6,Geometric statistics-based descriptor for 3D ear recognition,"Indian Institute of Technology Indore, Indore, India","Pattern Analysis and Machine Intelligence Lab, Discipline of Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India","Khandwa Rd, Simrol, Madhya Pradesh 453552, India",22.52035970,75.92072310,edu, +21462ab847ee919abbd862c1f86b7c13ad34d519,"Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features",Romania,Romania,Romania,45.94316100,24.96676000,edu, +2148e8484c8f27d853872c59f483f0d281fc664c,Urban tree canopy detection using object-based image analysis for very high resolution satellite images: A literature review,India,India,India,20.59368400,78.96288000,edu, 2193cb7a612e25fd4fe773312ec03d6c8a2dfa03,Heteroskedasticity tuned mixed-norm sparse regularization for face hallucination,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 211c42a567e02987a6f89b89527de3bf4d2e9f90,EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, 2171a1414844b161c9f08f08f76d33926d1db321,Adaptive pedestrian detection by modulating features in dynamical environment,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, @@ -2221,11 +3142,13 @@ ddc22765a8fa82d5e76cd7e1d6adf390fcc5b044,Histograms of Oriented Gradients for La 21bc819e9d6c5d5c545b50addaab6f54f719a05d,Three dimensional pose estimation of mouse from monocular images in compact systems,"Transmural Biotech, Barcelona, Spain","Transmural Biotech, Barcelona, Spain","Carrer de Sabino Arana, 38, 08028 Barcelona, Spain",41.38617590,2.12487170,edu, 21c0bb96f989d2e5a61b48f1b88627763647b79d,GrCS: Granular Computing-Based Crowd Segmentation,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, 2108b67bd717d349a3474a5ec3a34113b5943a6b,Partial similarity based nonparametric scene parsing in certain environment,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +218ce079b9e64288faf20a87043dc32884105102,A survey: Verification of family relationship from parents and child facial images,India,India,India,20.59368400,78.96288000,edu, 4b9b30066a05bdeb0e05025402668499ebf99a6b,Real-time face detection using Gentle AdaBoost algorithm and nesting cascade structure,Huaqiao University,Huaqiao University,"华侨大学站 HuaQiao University (BRT), 集美大道, 集美区, 集美区 (Jimei), 厦门市 / Xiamen, 福建省, 361024, 中国",24.60047120,118.08165740,edu, 4baa7103c79c5bfcbbd48c75729909ff06e3cb91,Power conversion efficiency-aware mapping of multithreaded applications on heterogeneous architectures: A comprehensive parameter tuning,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu, 4b87d095bcc944b868f8a33679914d54828db3ce,Understanding the Prediction Process of Deep Networks by Forests,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 4b7ce0fc27cd84c2b44f16c16b1c5c6b612c6881,Accelerating convolution-based detection model on GPU,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 4b6ea0c9b4d4d7f86e5c61a84bf855f4b5deed10,TabletGaze: dataset and analysis for unconstrained appearance-based gaze estimation in mobile tablets,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu, +4bb687247d76834f6a16002f5e78244f5fa9370c,Learning Parallel Canonical Correlations for Scale-Adaptive Low Resolution Face Recognition,China,China,China,35.86166000,104.19539700,edu, 4bb1f497ec631d815733000f36157c5907d269ae,Counting Pedestrian with Mixed Features and Extreme Learning Machine,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 4bdcf36206c9310eea59c7a7d8db5179eb146947,Non-Negative Patch Alignment Framework,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 4bf85ef995c684b841d0a5a002d175fadd922ff0,Ensemble of Deep Models for Event Recognition,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, @@ -2236,59 +3159,100 @@ ddc22765a8fa82d5e76cd7e1d6adf390fcc5b044,Histograms of Oriented Gradients for La 4b6387e608afa83ac8d855de2c9b0ae3b86f31cc,Face Sketch Landmarks Localization in the Wild,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 4b5ff8c67f3496a414f94e35cb35a601ec98e5cf,Understanding the discrimination power of facial regions in forensic casework,"Dirección General de la Guardia Civil, Madrid, Spain","Dirección General de la Guardia Civil - DGGC Madrid, Spain","Calle de Guzmán el Bueno, 110, 28003 Madrid, Spain",40.44455650,-3.71227850,edu, 4b9c47856f8314ecbe4d0efc65278c2ededb2738,Spatiotemporal Local Monogenic Binary Patterns for Facial Expression Recognition,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +4bdf749e43a8e0294ba345d2d3e524e21a144ef2,Count on Me: Learning to Count on a Single Image,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, +4be211df856e2fc0d999598ba6561a22e65997b6,Object proposal using 3D point cloud for DRC-HUBO+,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 4bd09fc152d680dbd3027ca14deea290f7bdec36,Hierarchical CRF with product label spaces for parts-based models,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 4b990e033578424dc7cca28df9b638098cbdd1ce,"Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion",McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, +4bc411ee896755862158885843900c8bdde597c0,Face Recognition Based on Dominant Frequency Features and Multiresolution Metric,"Kumamoto Univ., Kumamoto","Kumamoto Univ., Kumamoto","Japan, 〒860-8555 Kumamoto Prefecture, Kumamoto, Chuo Ward, Kurokami, 2丁目39番1号",32.81403820,130.72787250,edu, +4bb261e727835aca4ac4b61a6147ab5d84aab709,Accident Scenario Generation with Recurrent Neural Networks,"Zenuity, Gothenburg, Sweden","Zenuity, Gothenburg, Sweden","Lindholmspiren 2, 417 56 Göteborg, Sweden",57.70851230,11.94018860,edu, 4b33c7446775ebd76c3f3c7bc8b6c79ce585aacc,Pedestrian Detection from Lidar Data via Cooperative Deep and Hand-Crafted Features,National Taipei University of Technology,National Taipei University of Technology,"NTUT, 1, 忠孝東路三段, 民輝里, 東區商圈, 大安區, 臺北市, 10608, 臺灣",25.04306355,121.53468772,edu, 4b3f47e3b8f62b8b5460c85c623e1d7e0b189706,Semantic segmentation with multi-path refinement and pyramid pooling dilated-resnet,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 3d82f99a994a9702520aeac6bcfbe1aabb2dcf78,A gesture perception algorithm using compact one-dimensional representation of spatio-temporal motion-field patches,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 3db446e1d9de7a712933dcc86f57e83e2ee00b19,Hybrid Facial Model Fitting using Active Appearance Models and Contour-Based Facial Feature Location,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +3db824136c1a1d447a1fd20fa70e478097d23fe4,A novel approach for multi-object tracking using evidential representation for objects,"SATIE, Université Paris-Sud, Université Paris-Saclay, France","SATIE, Université Paris-Sud, Université Paris-Saclay, France","15 Rue Georges Clemenceau, 91400 Orsay, France",48.69768470,2.17648390,edu, 3d89f9b4da3d6fb1fdb33dea7592b5992069a096,Face recognition based on convolution siamese networks,University of the Chinese Academy of Sciences,"The Institute of Optics and Electronics Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China","Chengdu, Sichuan, China",30.57281500,104.06680100,edu, 3da3fca7cb2e6c071b4b963446d8622b34a96ee7,iBench: Quantifying interference for datacenter applications,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +3dedff7d7813af193589e44c204b08f34c297764,Image Description Generation by Modeling the Relationship Between Objects,China,China,China,35.86166000,104.19539700,edu, 3d59a9d07295173bf8b578d0c8efe7322df5701b,Face synthesis from near-infrared to visual light via sparse representation,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +3d1f976db6495e2bb654115b939b863d13dd3d05,Labeling faces with names based on the name semantic network,China,China,China,35.86166000,104.19539700,edu, +3d2bd09ba8629e3fb2bd4467c05cba13f37913fa,CNN-based rate-distortion modeling for H.265/HEVC,China,China,China,35.86166000,104.19539700,edu, +3de5dc06f5d089dee111e048c7174a834f1363c1,Dynamic facial expression recognition using autoregressive models,China,China,China,35.86166000,104.19539700,edu, +3db349ea211ed3e71baf7c7f6739ea0b086c5db7,A novel shape information based spindle positioning method with the polarized light microscopy,China,China,China,35.86166000,104.19539700,edu, 3d9e44d8f8bc2663192c7ce668ccbbb084e466e4,Learning a multi-center convolutional network for unconstrained face alignment,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +3d32f5e055d6e441d059b1f55b3cb3c1f5f85c26,Combining Software-Based Eye Tracking and a Wide-Angle Lens for Sneaking Detection,University of Kaiserslautern,"University of Kaiserslautern, Kaiserslautern, Germany","Erwin-Schrödinger-Straße 1, 67663 Kaiserslautern, Germany",49.42537740,7.75554960,edu, 3d2d439ead6e32877ce40e5568e62dee4a877836,Visual attribute classification using feature selection and convolutional neural network,University of Liverpool,University of Liverpool,"Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK",53.40617900,-2.96670819,edu, +3d38022d7ba71e865ca406d28acd3fe547024319,Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks,China,China,China,35.86166000,104.19539700,edu, +3d53493916cdf49ba29aebef955ab6b32a05762f,Gaze Estimation in the 3D Space Using RGB-D Sensors,"École polytechnique fédéral de, Lausanne (EPFL), Switzerland","École polytechnique fédéral de, Lausanne (EPFL), Switzerland","Route Cantonale, 1015 Lausanne, Switzerland",46.51905570,6.56675760,edu, 3db6fd6a0e9bb30f2421e84ee5e433683d17d9c1,An automatic region detection and processing approach in genetic programming for binary image classification,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, 3d0b133bb5a2559d8a60898e90f9780a94b6a0dc,Real-Time Certified Probabilistic Pedestrian Forecasting,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +3db739406a5cc3326a35ce59cb261a41a0ca8f30,A novel algorithm to predict and detect suspicious behaviors of people at public areas for surveillave cameras,India,India,India,20.59368400,78.96288000,edu, 3d0e9dbb81c4fcdfb179342f57f9815a5ca2b659,Compression for 3D face recognition applications,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +3d919e63307610258720cd0d39b37904acd5c77e,YELP: masking sound-based opportunistic attacks in zero-effort deauthentication,University of Alabama,University of Alabama,"Tuscaloosa, AL 35487, USA",33.21402330,-87.53914180,edu, 3dce3bb30f0c19121a71e0bfe1d418f855cb13ce,GIFGIF+: Collecting emotional animated GIFs with clustered multi-task learning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +3d045d8d8b1af5eb6ba0b8365dc87d57bebafb4e,Seamline Determination Based on Semantic Segmentation for Aerial Image Mosaicking,"Cookpad, Inc., Tokyo, Japan","Cookpad, Inc., Tokyo, Japan","Japan, 〒150-6012 東京都渋谷区 恵比寿4−20−3 恵比寿 ガーデンプレイス タワー 12F",35.64214500,139.71346300,edu, 3d5e4ae1b8f8384ff490ea5c7d68873b8ce0a25f,Real-time Pedestrian and Vehicle Detection for Autonomous Driving,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +234112fd23604cae638b133e6581a3a91b8b6107,Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects,UBTech Sydney Artificial Intelligence Institute,UBTech Sydney Artificial Intelligence Institute,"Camperdown NSW 2006, Australia",-33.88858400,151.18734730,edu, +230e45294a95a7b773a27dcc3fc52ad5e116f9a7,(Two-Dimensional)2 whitening reconstruction for newborn recognition,India,India,India,20.59368400,78.96288000,edu, 2340d810c515dc0c9fd319f598fa8012dc0368a0,A collaborative face recognition framework on a social network platform,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 234318640a05a7e30b84f1743f2b29d63ed109b7,Face recognition based on random feature,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +23b4dfe0669dec9fe862f962e222b6987e09e061,Tagging event image set using face identification,India,India,India,20.59368400,78.96288000,edu, 23752b8fff9e07da1fd7b1b8dd9e2bb692ed2750,Person re-identification based on visual saliency,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 233be88c7ce1fbf1c1680643dca7869dc637b379,Matching facial attributes in caricature-photograph pairs,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 2336de3a81dada63eb00ea82f7570c4069342fb5,A methodological framework for investigating age factors on the performance of biometric systems,University of Kent,University of Kent,"University of Kent, St. Stephen's Hill, Hackington, Canterbury, Kent, South East, England, CT2 7AS, UK",51.29753440,1.07296165,edu, +23453a37beea310b53419be45fe266bcf243ab49,Camera based target recognition for maritime awareness,"SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy","SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy","Piazza Monte Grappa, 4, 00195 Roma RM, Italy",41.91852800,12.46855900,company, 23316b1bb8e17bc1f9dd2c971093fca3407c32d0,Predicting performance of face recognition systems: An image characterization approach,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 23a44db65ff4913289a3a93fb8c85072ae9d007e,Biologically Inspired Media Quality Modeling,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, +23c66ab737367a96f1422ce5c4ff8421709ef70d,Improved boosting algorithm through weighted k-nearest neighbors classifier,China,China,China,35.86166000,104.19539700,edu, 231951807081451293189fbf5ea9269b59724518,Privacy Preserving Social Network Data Publication,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, 2313914c626383e87077762c03208e119c04b479,Safety challenges in using AR.Drone to collaborate with humans in indoor environments,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 23f18899037c77efea58cbde7b029225af7e0db9,Face alignment using structured random regressors combined with statistical shape model fitting,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +23e6517b8ed4dd2ff5dd452f25fd5dafdf905906,Scalable Multimodal Search with Distributed Indexing by Sparse Hashing,"Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologia, Monte de Caparica, Portugal","Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologia, Monte de Caparica, Portugal","Calçada de Alfazina 2, 2825-149 Caparica, Portugal",38.66096400,-9.20581300,edu, 2337b5b0212ad9b7fafd89d91016446450db64eb,Multibiometrics for face recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +233053b5962d4001adc7616c07616d1b43048a7f,Behavioral analysis and classification of spammers distributing pornographic content in social media,India,India,India,20.59368400,78.96288000,edu, +23edcd0d2011d9c0d421193af061f2eb3e155da3,Facial age estimation by using stacked feature composition and selection,Huizhou University,"Network Center, Huizhou University, Huizhou, China","Huizhou, Guangdong, China",23.11225700,114.41580100,edu, 23e824d1dfc33f3780dd18076284f07bd99f1c43,Spoofing faces using makeup: An investigative study,INRIA Méditerranée,"Inria Méditerranée, France","2004 Route des Lucioles, 06902 Valbonne, France",43.61581310,7.06838000,edu,"Inria Méditerranée, France" +23a8e37363ca40515c7d66ec33cfce3c8c1c7909,Enabling Users to Guide the Design of Robust Model Fitting Algorithms,"Image Understanding Group, Technische Universität München, Garching, Germany","Image Understanding Group, Technische Universität München, Garching, Germany","James-Franck-Straße 1, 85748 Garching bei München, Germany",48.26703300,11.67558820,edu, 2375edf7a4014eb9ed1d0634726063f41528d6cd,Joint inference of soft biometric features,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, -23861361973990f5d5106d3099a61480d052c9d8,Human Action Recognition with Depth Cameras,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +23861361973990f5d5106d3099a61480d052c9d8,Human Action Recognition with Depth Cameras,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 2354bb91a72b7667a03c68ea74ede7a5c90b3afc,Comparison of motion-based analysis to thermal-based analysis of thermal video in the extraction of respiration patterns,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu, +230aa8fe68068f2e64876bdf1c41d20b4923288f,Context aware model for articulated human pose estimation,China,China,China,35.86166000,104.19539700,edu, 233ee51b2a874381c28e2c54515e5c92aec33316,An efficient 3D partial face recognition approach with single sample,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 23ee7b7a9ca5948e81555aaf3a044cfec778f148,Beyond simple features: A large-scale feature search approach to unconstrained face recognition,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 23f78d48bb75df464e1118836d23ee1b2474854e,Motion Features from Lip Movement for Person Authentication,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, +150b61a610baa6b00557acfd1464af53f5fa27ac,Multi-object tracking using TLD framework,India,India,India,20.59368400,78.96288000,edu, 159b1e3c3ed0982061dae3cc8ab7d9b149a0cdb1,Weak Classifier for Density Estimation in Eye Localization and Tracking,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, 15f8bf1eb9bb3c86ad75454651a518267028c917,Visual Question Answering using Explicit Visual Attention,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +154b9a1a4dd5a01dfb4914d4aa392ad9cf43b98d,Distinctiveness of faces: A computational approach,Dap—University of Sassari,"Dap—University of Sassari, Italy","Piazza Università, 21, 07100 Sassari SS, Italy",40.72489380,8.55979000,edu, 1560480870a19fd3d65024a06c428f42a6c16cf8,Facial feature detection with optimal pixel reduction SVM,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 1505a18901aeffeeba6aa48c54775a2b2cc67579,Unified probabilistic models for face recognition from a single example image per person,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 154683bb947c48321ecec162062204b1242b51b8,A local descriptor based model with visual attention guidance for generic object detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 158eff6ccf0985777ed1160ee8ddd0145b44a0de,The Phase-based Gabor Fisher Classifier and its application to face recognition under varying illumination conditions,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 15870e306ac1f8969b9ddf3cc84d59d21acd7cdc,OM-2: An online multi-class Multi-Kernel Learning algorithm Luo Jie,Università degli Studi di Milano,Università degli Studi di Milano,"Università degli Studi di Milano, Via Camillo Golgi, Città Studi, Milano, MI, LOM, 20133, Italia",45.47567215,9.23336232,edu, 15f5c638c4cef6e8de5a2fb26e981f263c828a3e,BreathVR: Leveraging Breathing as a Directly Controlled Interface for Virtual Reality Games,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +15801fafe9fe893c50e4221a486e35f3d599fe26,Advances in Crowd Analysis for Urban Applications Through Urban Event Detection,Anglia Ruskin University,"Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K.","Bishop Hall Ln, Chelmsford CM1 1SQ, UK",51.74147370,0.47419480,edu, +15bf0e70b069cea62d87d3bf706172c4a6a7779e,Robust face recognition and classification system based on SIFT and DCP techniques in image processing,India,India,India,20.59368400,78.96288000,edu, 15bf753aa41e4ac465d5fd13ef3913641bc0427a,Finding rows of people in group images,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +15b76891eb084895db87e9fe0624810b8085cbd8,Fusion of Talking Face Biometric Modalities for Personal Identity Verification,University of Surregy,"Centre for Vision, Speech and Signal Processing, University of Surregy, Guildford GU2 7XH, United Kingdom.","388 Stag Hill, Guildford GU2 7XH Stag Hill, Guildford GU2 7XH, UK",51.24354510,-0.58857440,edu, 159caaa56c2291bedbd41d12af5546a7725c58d4,A joint optimization scheme to combine different levels of features for face recognition with makeup changes,Beijing Advanced Innovation Center for Imaging Technology,"Beijing Advanced Innovation Center for Imaging Technology, Beijing 100048, China","Haidian, Beijing, China, 100048",39.92907420,116.31093150,edu, 15ef65fd68d61f3d47326e358c446b0f054f093a,Learning guided convolutional neural networks for cross-resolution face recognition,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, +1575e8413e86570b142b6e268aa945c2514a2420,Design and implementation of robotic vision for face recognition,India,India,India,20.59368400,78.96288000,edu, +15eafc361edebe3da9ff8debaae16f487fbf17f2,Two dimensional affective state distribution of the brain under emotion stimuli,MARA University of Technology (UiTM),"Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, MALAYSIA","40450 Shah Alam, Selangor, Malaysia",3.07134720,101.50021440,edu, +151c342b33d9b8332c92185307f8d9dc9baa8047,Density-aware person detection and tracking in crowds,"Imagine, LIGM, Universite Paris-Est, France","Imagine, LIGM, Universite Paris-Est, France","5 Boulevard Descartes, 77420 Champs-sur-Marne, France",48.84010900,2.58625300,edu, +15dc99e91da7c6cf808d9481ba4a9dfc5914bc63,Face recognition using DWT thresholding based feature extraction with laplacian-gradient masking as a pre-processing technique,"M.S. Ramaiah Institute of Technology, Bangalore, India","M.S. Ramaiah Institute of Technology, Bangalore, India","MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India",13.03046190,77.56468620,edu, 158de03729e0bf8fb04b2accaf5604d8b4878b56,Semi-Supervised Discriminant Analysis using robust path-based similarity,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, 156db35e45030aa590625a3188c8784306d3453a,DyScale: A MapReduce Job Scheduler for Heterogeneous Multicore Processors,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +1548fdfe07c1e7d93389e1226257ce5499f304e8,A super-resolution based method to synthesize visual images from near infrared,China,China,China,35.86166000,104.19539700,edu, +1560fc1817f2bdf1b54dfb9672a9f509b5d1f6d3,Sparsity Driven People Localization with a Heterogeneous Network of Cameras,"Centre de Physiques des Particules de Marseille, Aix-Marseille Université, CNRS/IN2P3, Marseilles, France","Centre de Physiques des Particules de Marseille, Aix-Marseille Université, CNRS/IN2P3, Marseilles, France","902, CEDEX, Case, 13288, 163 Avenue de Luminy, 13009 Marseille, France",43.23086700,5.44110700,edu, +1521c815e67572f3a90e44b67675b599bacdb687,Occlusion-robust 3D face recognition using restoration and local classifiers,"Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda, Turkey","Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda, Turkey","5, Drienerlolaan, 7522 NB Enschede, Netherlands",52.23939710,6.85087090,edu, +15f85fe1d930bde435c2e04372e27e8c8c4ba19a,Semi-automatic annotation of distorted image based on neighborhood rough set,China,China,China,35.86166000,104.19539700,edu, 8e88a651e7bc9d200fcd7af0ca93690e0929f469,Efficient graph based spatial face context representation and matching,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 8e346f6cb75fa50e0c4e8fee4f198788b91569e1,Collaborative Networks for Person Verification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 8e679b8f165b46521c76a766ddfb538fa90d3f94,Audio Assisted Robust Visual Tracking With Adaptive Particle Filtering,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 8e2bd1192b60cdb75c99234ccbd50ca920a47d00,Joint Rate-Distortion Optimization for Simultaneous Texture and Deep Feature Compression of Facial Images,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +8e6e1861ac3e130f3e5ba97d9c6ab21355b3a55f,Evaluating the effort involved in relevance assessments for images,Glasgow Caledonian University,"Glasgow Caledonian University, Glasgow, United Kingdom","Cowcaddens Rd, Glasgow G4 0BA, UK",55.86681830,-4.24996020,edu, 8eb9aa6349db3dd1b724266fcd5fc39a83da022a,A novel feature extraction method using Pyramid Histogram of Orientation Gradients for smile recognition,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 8e3e61d1b14360bdf7a5c51b3be77bfc9a4823e1,Initial response time measurement in eye movement for dementia screening test,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, +8eb4901485cc168be9d42c38200e9ceca6e52170,A novel approach for face detection using hybrid skin color model,India,India,India,20.59368400,78.96288000,edu, 8e069b2447751a2ac44056203a47fa97ac803e4b,Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 8eb40d0a0a1339469a05711f532839e8ffd8126c,Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 8ec6a93973daffd3ab8ac70bdb902b3136bc8e87,Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, @@ -2299,27 +3263,48 @@ ddc22765a8fa82d5e76cd7e1d6adf390fcc5b044,Histograms of Oriented Gradients for La 8e452379fda31744d4a4383fcb8a9eab6dbc4ae4,Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, 8ebe2df4d82af79f0f082ced70f3a73d7fb93b66,Relative attributes with deep Convolutional Neural Network,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 8e272978dd1500ce6e4c2ef5e91d4332078ff757,Human Face Identification from Video Based on Frequency Domain Asymmetry Representation Using Hidden Markov Models,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +8e74ec37f1fa24eb9f112c0ed7b6d2c6f20383c3,Comparison of face matching techniques under pose variation,"Philips Research Eindhoven Storage Systems and Applications Eindhoven, Netherlands","Philips Research Eindhoven Storage Systems and Applications Eindhoven, Netherlands","High Tech Campus 34, 5656 AE Eindhoven, Netherlands",51.41175220,5.45866520,company, 8e31c59c973cecce1a7ef114344513d1b6ec9001,Ask the dictionary: Soft-assignment location-orientation pooling for image classification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 1d3a81135f09b12ace7e81357b86adf3279530c0,"Towards Interactive Generation of ""Ground-truth"" in Background Subtraction from Partially Labeled Examples",University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, 1d35391869824040a081de1f35ba56afa35698b9,Towards automated post-production and semantic annotation of films,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +1d7e65d6cef7604ce96e9780c664ef633adb2801,Regularized Large Margin Classifier,Yangzhou University,"College of Information Engineering, Yangzhou University, Yangzhou, China","196 Huayang W Rd, Hanjiang Qu, Yangzhou Shi, Jiangsu Sheng, China",32.33934870,119.39704100,edu, +1d58593a61f887e2ea367a5f59dade2493ae0b44,Gait recognition using gait Gaussian image,India,India,India,20.59368400,78.96288000,edu, +1d22fa7f7ebc6cd8432748644f4a11930ffdfaf9,Image Segmentation Stability: An Empirical Investigation,University of South Alabama,University of South Alabama,"307 N University Blvd, Mobile, AL 36688, USA",30.69594060,-88.18423600,edu, 1d2f16a6bc39e2cccb0bac09b8b958684901d9ea,Covariance-based recognition using an incremental learning approach,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 1d39c1e39d712d2449de59beae76521f4e04b2bd,Task-Driven Progressive Part Localization for Fine-Grained Object Recognition,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +1ddd4a651389b411c2bd847146143577cfca02c9,Contextual Distance for Data Perception,"Visual Computing Group, Microsoft Research Asia, Beijing, China. xitang@microsoft.com","Visual Computing Group, Microsoft Research Asia, Beijing, China. xitang@microsoft.com","Beijing, China",39.90419990,116.40739630,edu, 1d6a99e11ed5576bec973a35bc50d196c9a38e26,Generalized Low Dimensional Feature Subspace for Robust Face Recognition on Unseen datasets using Kernel Correlation Feature Analysis,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +1db45038ff49e4220a56b17a3b255df1c97b32c1,3D face reconstruction with global and local constraints in double spaces,China,China,China,35.86166000,104.19539700,edu, 1dabb080e3e968633f4b3774f19192f8378f5b67,Exploring deep learning based solutions in fine grained activity recognition in the wild,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 1d6d6399fd98472012edb211981d5eb8370a07b0,Composite orthonormal basis for person-independent facial expression recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 1d30f813798c55ae4fe454829be6e2948ee841da,Kernel Fukunaga-Koontz Transform Subspaces For Enhanced Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1db51b91aa2b98e91fd5e440f829a084e9932b8b,Automatic eyebrow features detection and realization of avatar for real time eyebrow movement,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 1da28f17e4df1f45056d6b8e76c08252ee909333,Reidentification by Relative Distance Comparison,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +1de23d7fe718d9fab0159f58f422099e44ad3f0a,Locality Preserving Collaborative Representation for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 1d6c0e7b9591ea332671080df2e53119a34c90bc,Human Segmentation with Deep Contour-Aware Network,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +1d8a522bbfddfe86951ea7605c7df058b2c2e1b0,Video tracking through occlusions by fast audio source localisation,Heriot-Watt University & University of Edinburgh,"Joint Research Institute for Signal and Image Processing, Heriot-Watt University & University of Edinburgh, UK","Edinburgh Campus, Boundary Rd N, Edinburgh EH14 4AS, UK",55.90966020,-3.32034940,edu, +1dcccd889562daec06fee30829c61a4b5a386cc2,Face occlusion detection based on multi-task convolution neural network,China,China,China,35.86166000,104.19539700,edu, +1dea8b1bba7f12575049d92631706b5999d6899d,Attribute based image retrieval and hypergraph learning based image search reranking,India,India,India,20.59368400,78.96288000,edu, 1d843d285992549b7e87933f403b23f456a73e30,An Image Representation for the 3D Face Synthesis,Jiangxi Normal University,"Jiangxi Normal University, Nanchang, China","Nanchang, China",28.67850000,116.03121200,edu, 1da1299088a6bf28167c58bbd46ca247de41eb3c,Face identification from a single example image based on Face-Specific Subspace (FSS),Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 1dbcb8998f2527df4f8cf7750e61124fa5f6a6f7,Integrating appearance and edge features for on-road bicycle and motorcycle detection in the nighttime,National University of Kaohsiung,National University of Kaohsiung,"國立高雄大學, 中央廣場, 藍田, 藍田里, 楠梓區, 高雄市, 811, 臺灣",22.73424255,120.28349755,edu, +1d122efc1469e96d71497f0931f502fa47ae344d,Have We Met Before? Using Consumer-Grade Brain-Computer Interfaces to Detect Unaware Facial Recognition,University of Ontario Institute of Technology,"University of Ontario Institute of Technology, Simcoe St N, Canada","2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada",43.94587180,-78.89673750,edu, +1da5fc63d66fbf750b0e15c5ef6d4274ca73cca1,Research on face recognition method based on deep learning in natural environment,China,China,China,35.86166000,104.19539700,edu, 1d328a61c10c5ed2e5c24d483cf5293e61ea846d,Vision-aided indoor pedestrian dead reckoning,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, +1da87be8bf6b337076f1cf49629a5974a2f71439,Keep moving!: revisiting thumbnails for mobile video retrieval,Utrecht University,"Utrecht University, Utrecht, Netherlands","Domplein 29, 3512 JE Utrecht, Netherlands",52.09015270,5.12260180,edu, 1d924f61190b0495e2031f2bb365f9a7ab2ea9f6,Learning Discriminative Dictionary for Group Sparse Representation,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 1d1da7b8efbc937c2a6be5b1ebdecce92a4344d2,Linear dependency modeling for feature fusion,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, +1d8b85d7fadc62099eb15c4462379b2167538a7a,Multi-feature based automatic face identification on kernel eigen spaces (KES) under unstable lighting conditions,India,India,India,20.59368400,78.96288000,edu, 8dd9c97b85e883c16e5b1ec260f9cd610df52dec,Rule based assessment of hearing-impaired children's facial expressions,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +8dccec5593788fd114ef4a4ebd953af80a26c3a9,Person re-identification by using a method combining DPM and SVM,China,China,China,35.86166000,104.19539700,edu, +8db60e5196657c4f6188ffee3d2a48d188014f6d,Realtime multi-aircraft tracking in aerial scene with deep orientation network,"Military Technical College, Cairo, Egypt","Military Technical College, Cairo, Egypt","Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt",30.08042180,31.29625750,edu, 8df1766638f4d57935de811a137cbfec3d48cb59,A novel set of pixel difference-based features for pedestrian detection,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +8d6c0487f7b358a6167007eca96911d15e7cf186,Multichannel-Sniffing-System for Real-World Analysing of Wi-Fi-Packets,University of Applied Sciences Erfurt,"University of Applied Sciences Erfurt, Applied Computer Science, Erfurtn, Germany","Altonaer Str. 25, 99085 Erfurt, Germany",50.98479130,11.04149510,edu, 8d2c43759e221f39ab1b4bf70d6891ffd19fb8da,An Automatic Facial Expression Recognition Approach Based on Confusion-Crossed Support Vector Machine Tree,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +8d203fba8a43e58703618cac3b5147c92f5919d7,Real-Time vehicle detection and tracking using deep neural networks,China,China,China,35.86166000,104.19539700,edu, +8d01119f663d667edb8cbc360340a4ee1a20043b,Scale-adaptive visual tracking with occlusion detection,China,China,China,35.86166000,104.19539700,edu, +8d34ab23d6770a6caebc2be79881481dbf7c64d3,Seeds-Based Part Segmentation by Seeds Propagation and Region Convexity Decomposition,China,China,China,35.86166000,104.19539700,edu, +8d6d50879a7633eca05c8d74a0e586f1f2892e83,TCU: Thread compaction unit for GPGPU applications on mobile graphics hardware,"Institute for Information Industry, Smart Network & System Institute, Taipei, Taiwan","Institute for Information Industry, Smart Network & System Institute 7F, No. 133, Sec. 4, Minsheng E. Rd., Taipei 105, Taiwan, R.O.C.","No. 4, Minsheng East Street, Sanchong District, New Taipei City, Taiwan 241",25.06834470,121.49257330,edu, 8dd3f05071fd70fb1c349460b526b0e69dcc65bf,Local Directional Ternary Pattern for Facial Expression Recognition,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu, 8d99ecb26e321c54196a1a79c79ce9c3607bd9ef,Adaptive Online Learning Based Robust Visual Tracking,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 8d4bc5abfc0a89452ea21d78066e4e049fddfc79,Learning a bag of features based nonlinear metric for facial similarity,"LIRIS, INSA-Lyon, France","LIRIS, UMR 5205 CNRS, INSA-Lyon, F-69621, France","40 Avenue Guy de Collongue, 69130 Écully, France",45.78359660,4.76789480,edu, @@ -2331,16 +3316,23 @@ ddc22765a8fa82d5e76cd7e1d6adf390fcc5b044,Histograms of Oriented Gradients for La 9eea052864e3f034b5f4b744fccedb90e18aa284,Temporally Consistent Road Surface Profile Estimation Using Stereo Vision,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 9ed56cf584eb66bdf576fcc58e84fecb2f51f547,Human-like Autonomous Vehicle Speed Control by Deep Reinforcement Learning with Double Q-Learning,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, 9eb13f8e8d948146bfbae1260e505ba209c7fdc1,Demo: Robust face recognition via sparse representation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +9ec8800def01100d2db0ca5ad98993bdb6f682e9,Recognition of partially occluded face using Gradientface and Local Binary Patterns,Federal University of Pernambuco - UFPE,"Center of Informatics - CIn, Federal University of Pernambuco - UFPE, Recife, Brazil","Av. Prof. Moraes Rego, 1235 - Cidade Universitária, Recife - PE, 50670-901, Brazil",-8.05244780,-34.94972860,edu, +9e89c9e40ffd1848da10a2944edf4f7c72ef15fb,Face Recognition Using A Radial Basis Function Classifier,"TALP-UPC, Jordi Girona 1, 08034 BARCELONA, SPAIN","TALP-UPC, Jordi Girona 1, 08034 BARCELONA, SPAIN","Carrer de Jordi Girona, 1-3, 08034 Barcelona, Spain",41.38797770,2.11250510,edu, 9eb52cca3ff73def20a7d51cb1779c32ed193289,Sparse similarity metric learning for kinship verification,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 9eb1127548e0cf842c3c31cb64894ec2a2887e90,Real-time vehicle back-up warning system with a single camera,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 9efdb73c6833df57732b727c6aeac510cadb53fe,Face image generation system using attribute information with DCGANs,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu, 9e1a6a63a7646f9654bebf6d5ab516f33cd50b25,Distributed One-Class Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 9eaa967d19fc66010b7ade7d94eaf7971a1957f3,Segmentation-based illumination normalization for face detection,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, +9e02aae0d83a84f05a4fad4b8dcb0d664b01b12d,Smart video access control system with hybrid features in complicated environment,China,China,China,35.86166000,104.19539700,edu, 9ee86caa5f52fc0ad013922e6320765013464db9,Teaching Video Analytics Based on Student Spatial and Temporal Behavior Mining,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +9ecd0f6bf02bbaf43a9b186c633d04263049ab6f,Combining multiple visual processing streams for locating and classifying objects in video,"New Mexico Consortium, Los Alamos, USA","New Mexico Consortium, Los Alamos, USA","100 Entrada Dr, Los Alamos, NM 87544, USA",35.87728710,-106.26028310,edu, 9e60e13dad167897bc61b3c52e723e515a3bc1ac,Consistent EKF-Based Visual-Inertial Odometry on Matrix Lie Group,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 9e2ab407ff36f3b793d78d9118ea25622f4b7434,Local generic representation for patch uLBP-based face recognition with single training sample per subject,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" 9e9a5af864de7562764d373af87f4e7b12e71900,A hybrid approach to gender classification from face images,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +9e889034999221e37da9f72bbb60383712fe7806,Detection of violent crowd behavior based on statistical characteristics of the optical flow,China,China,China,35.86166000,104.19539700,edu, +9e10ea753b9767aa2f91dafe8545cd6f44befd7f,Learning discriminative local binary patterns for face recognition,Pontificia Universidad Catòlica de Chile,Pontificia Universidad Catòlica de Chile,"Av Libertador Bernardo O'Higgins 340, Santiago, Región Metropolitana, Chile",-33.44112790,-70.64079330,edu, 9ef17e297937a918b79e5ab72d1a1e3868d2d65f,Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace Learning Algorithms,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +9e7f7e273be2ebfccbf43e20d2683368ebd7e5fa,Computer vision based gaze tracking for accident prevention,Panimalar Institute of Technology,Panimalar Institute of Technology,"No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu 600123, India",13.05281470,80.07491540,edu, 9ed4fb4f25ceadcc489305f766f26812077ca151,Mismatch in the classification of linear subspaces: Upper bound to the probability of error,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 9e64582b644481a734b018304a22b536886ed024,ALFA: Agglomerative Late Fusion Algorithm for Object Detection,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, 9e644b1e33dd9367be167eb9d832174004840400,Tracking Social Groups Within and Across Cameras,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -2348,38 +3340,56 @@ ddc22765a8fa82d5e76cd7e1d6adf390fcc5b044,Histograms of Oriented Gradients for La 9ef06cc958af2274afd193a1dca705c08234bcd3,Facial expression recognition using statistical subspace,Ho Chi Minh City University of Science,"Faculty of Information Technology, Ho Chi Minh City University of Science, VNU-HCM, District 5, Ho Chi Minh City, Vietnam","227 Đường Nguyễn Văn Cừ, Phường 4, Quận 5, Hồ Chí Minh, Vietnam",10.76252160,106.68232620,edu, 9e1c209923b320691eadff40f96fc83b65521b29,Auto++: Detecting Cars Using Embedded Microphones in Real-Time,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 4f8b8a1f454eef624f1aed78bc4b60ee39b7b0ae,Towards automated visual surveillance using gait for identity recognition and tracking across multiple non-intersecting cameras,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +4f456675b4dd1711285aa488af232c5a5099e85f,Line Feature Based Extrinsic Calibration of LiDAR and Camera,Xi’an Jiaotong University,"Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China","28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China",34.25080300,108.98369300,edu, 4f8b4784d0fca31840307650f7052b0dde736a76,Automatic Face Naming by Learning Discriminative Affinity Matrices From Weakly Labeled Images,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 4fc3bff4afb46a0bd62d151563711891ad7a7b58,CRF based road detection with multi-sensor fusion,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +4f77672c57a4fe2d925aea61cc54ba48220816a6,MKL-SVM-based human detection for autonomous navigation of a robot,"Research & Technology Center, North American Robot Bosch LLC, 2835 East Carson Street Suite 210, Pittsburgh, 15203, USA","Research & Technology Center, North American Robot Bosch LLC, 2835 East Carson Street Suite 210, Pittsburgh, 15203, USA","2555 Smallman St Suite 301, Pittsburgh, PA 15222, USA",40.45533960,-79.98017410,edu, +4ffc1e005990ce708f7e8191bcf14971b2d26e2e,Naïve Bayesian classifier for human shape recognition,"Universiti Teknologi MARA, Selangor, MALAYSIA","Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, MALAYSIA","Jalan Ilmu 1/1, Universiti Teknologi Mara, 40450 Shah Alam, Selangor, Malaysia",3.07335600,101.49771890,edu, 4fc90013e4e2297f33a86db106843917c824d6b9,Visual object tracking—classical and contemporary approaches,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, 4f03ba35440436cfa06a2ed2a571fea01cb36598,The extended collaborative representation-based classification,"Artificial Intelligence Key Laboratory of Sichuan Province, China","Artificial Intelligence Key Laboratory, of Sichuan Province, Zigong, Sichuan, 643000, P. R. China","Ziliujing, Zigong, Sichuan, China, 643000",29.33909180,104.77858020,gov, 4f0e82a326e9ff158a5092ba6206877cf961e19c,Facial age estimation and gender classification using multi level local phase quantization,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 4fa85ff0c4f2c33a6f03f84f988cefe1b829a726,Reevaluating Data Stall Time with the Consideration of Data Access Concurrency,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu, +4f99e35e40a2608a7b37d2028c05216974d677ad,Multi-sensor concert recording dataset including professional and user-generated content,"Joanneum Research, Graz, Austria","JOANNEUM RESEARCH, Graz, Austria","Leonhardstraße 59, 8010 Graz, Austria",47.07399650,15.45493040,company, 4f1249369127cc2e2894f6b2f1052d399794919a,Deep Age Estimation: From Classification to Ranking,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, 4f76b9eb6d27971f65c6a1c6cbef7e8b670688c6,Face Sketch Synthesis From a Single Photo–Sketch Pair,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +4f51c4444a71fd13c4b8062a8835cc1241e7115a,A fusion method for robust face tracking,China,China,China,35.86166000,104.19539700,edu, +4fff3f15b48e8e46280798df387d3dacd193fa1d,Large scale sign detection using HOG feature variants,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 4f623e3821d14553b3b286e20910db9225fb723f,Audio-Visual Person Recognition in Multimedia Data From the Iarpa Janus Program,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu, 4f4de2071e649043fe220888fc374b67d06f2867,Driver pose estimation with 3D Time-of-Flight sensor,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, 4ffa207907910091647c73fe5b1c448f2e6c4e76,Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +4f7b5130d0356ada11f34bf469b2a9c6a00a5e6b,Online multi-target tracking using non-linear motion estimation,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, c4a56e121cb183e2595d0c9761344d124dafd9cc,Identifying social groups in pedestrian crowd videos,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, c4a2cd5ec81cdfd894c9a20d4ffb8cda637aab1f,Towards retro-projected robot faces: An alternative to mechatronic and android faces,University of Plymouth,University of Plymouth,"Charles Seale-Hayne Library, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37525010,-4.13927692,edu, +c4d7c6f4b294e26e619b5ea5c90b4f9136a466e5,Discriminative transform of receptive field patterns for feature representation,China,China,China,35.86166000,104.19539700,edu, +c463b431a503f4eab370f1938e8104c2eaac6e32,A novel face recognition method based on the local color vector binary patterns of features localization,China,China,China,35.86166000,104.19539700,edu, c4c41bf777a1dc0ced43ee64bee683be092e297f,Face identification using linear regression,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, c4ca092972abb74ee1c20b7cae6e69c654479e2c,Linear canonical correlation analysis based ranking approach for facial age estimation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, c4136792e590ebbd7c490d9c0e0feec0204c00f8,Pose Adaptive Motion Feature Pooling for Human Action Analysis,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, c4b937a68c068e9d70548b7dc2cf5527aff16924,High-Resolution Face Fusion for Gender Conversion,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, c48b68dc780c71ab0f0f530cd160aa564ed08ade,Facial expression recognition based on local binary patterns and coarse-to-fine classification,"Northwestern Polytechnic University, Xi'an, China","Coll. of Electron. & Inf., Northwestern Polytech. Univ., Xi'an, China","633 Clark St, Evanston, IL 60208, USA",42.05645940,-87.67526700,edu, c4c1fb882ae8b48c461e1f7c359ea3ea15da29fa,Gender classification using bayesian classifier with local binary patch features,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, +c4a2da0fdd20bea8301c7ff872444e00672e2de0,Uncorrelated multiview discriminant locality preserving projection analysis for multiview facial expression recognition,India,India,India,20.59368400,78.96288000,edu, +c419b3c1ff156a0e8262f8f43a4118fde57ae37f,Attributes-oriented clothing description and retrieval with multi-task convolutional neural network,China,China,China,35.86166000,104.19539700,edu, c4072181e35b989b812da9e346e45234967e356f,Reduce false positives for human detection by a priori probability in videos,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +c49113c602ae75277c07f47cf166083515574681,Brain tumor detection and classification in MRI images using image and data mining,India,India,India,20.59368400,78.96288000,edu, c49075ead6eb07ede5ada4fe372899bd0cfb83ac,Multi-stage classification network for automatic age estimation from facial images,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, c4541802086461420afb1ecb5bb8ccd5962a9f02,Image Ratio Features for Facial Expression Recognition Application,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, +c4abbd51777785234d5b77734a281d50d2606441,Robust affine registration based on corner point guided ICP algorithm,China,China,China,35.86166000,104.19539700,edu, c4b58ceafdf4cf55586b036b9eb4d6d3d9ecd9c4,Human action recognition in compressed domain using PBL-McRBFN approach,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +c458e611c0606771b508c1a8bee4435e02ef0eec,A simple but effective appearance-based gaze estimation method from massive synthetic eye images,China,China,China,35.86166000,104.19539700,edu, c43dc4ae68a317b34a79636fadb3bcc4d1ccb61c,Age and gender estimation using deep residual learning network,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu, -c4d0d09115a0df856cdb389fbccb20f62b07b14e,Environment coupled metrics learning for unconstrained face verification,Chinese Academy of Science,"Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China","Beijing, China",39.90419990,116.40739630,edu, +c4d0d09115a0df856cdb389fbccb20f62b07b14e,Environment coupled metrics learning for unconstrained face verification,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 51f626540860ad75b68206025a45466a6d087aa6,Cluster convolutional neural networks for facial age estimation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 51a09f0305a0cdd48ccaac070363c71bc2c49938,Improving public datasets markings' quality using unsupervised refinement kernels,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, +5136344faad16d313ddb47927ca8fd080acd6b70,Human Pose Estimation Based on Deep Neural Network,China,China,China,35.86166000,104.19539700,edu, +51fa0924576680490fab445bea7b8f4a649d8161,Fusing semantic labeled camera images and 3D LiDAR data for the detection of urban curbs,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, 51a128eb0d72f318e9d3617ceff64539dfeaa608,What am i doing? Robotic self-action recognition,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 51f311f724883218bcc511b0403b9a7745b9d40e,Biometrics-based identifiers for digital identity management,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 51144f331aa9310e4fd9b4dab00e4baf6fba7ef3,Person re-identification using CNN features learned from combination of attributes,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 516f8728ad1d4f9f2701a2b5385f8c8e71b9d356,Edge-Aware Spatial Denoising Filtering Based on a Psychological Model of Stimulus Similarity,Nazarbayev University,Nazarbayev University,"Назарбаев Университет, проспект Туран, BI village, Астана, район Есиль, Астана, 010000, Казахстан",51.09028540,71.39725263,edu, 51ba9e2968b2c2ba4f94b4ea17aa9b9a4a8ecc16,Fast and robust detection and tracking of multiple persons on RGB-D data fusing spatio-temporal information,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, +51898d1039979363ee7eb97cbe3c02dc7d52f024,Pedestrian near-miss analysis on vehicle-mounted driving recorders,"National Institute of Advance Industrial Science and Technology, Tsukuba City, Ibaraki, Japan","National Institute of Advance Industrial Science and Technology, Tsukuba City, Ibaraki, Japan","1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan",36.06146340,140.13389070,edu, +519b5b120a76499ec769fb6f8e5e6633aa5f23b9,2D-3D camera fusion for visual odometry in outdoor environments,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 51d6a8a61ea9588a795b20353c97efccec73f5db,Simultaneous facial activity tracking and recognition,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, 51dcb36a6c247189be4420562f19feb00c9487f8,Towards robust face recognition from multiple views,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5167e16b53283be5587659ea8eaa3b8ef3fddd33,Model-based reconstruction for illumination variation in face images,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, @@ -2387,39 +3397,54 @@ c4d0d09115a0df856cdb389fbccb20f62b07b14e,Environment coupled metrics learning fo 5194cbd51f9769ab25260446b4fa17204752e799,Violent flows: Real-time detection of violent crowd behavior,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, 514fb60de79497ffb4b9490e12b11a9c94036ec3,Discriminant Locality Preserving Projections Based on L1-Norm Maximization,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, 51b770e6b2af994ffc8793f59b24a9f619033a3a,Human attribute analysis using a top-view camera based on multi-stage classification,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +51e2167cae2e257aeeab0ba6600227576e6cc436,Pillars detection for side viewed vehicles,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, 513674c8bcaf3cedfc934f4e15a07a882c6bbf07,Robustness improvement of human detecting and tracking for mobile robot,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, 51b42da0706a1260430f27badcf9ee6694768b9b,Shape initialization without ground truth for face alignment,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 513d37674c661a72f2eac8a79c2f03139d6c020a,Robust eye localization in video by combining eye detector and eye tracker,"National Institute of Informatics, Japan","National Institute of Informatics, Japan","2 Chome-1-2 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan",35.69248530,139.75825330,edu, +51da79450a9cc567dd8bd55d0d1ea24a1809619a,Automatic Detection of Round Timber in Digital Images Using Random Decision Forests Algorithm,Russia,Russia,Russia,61.52401000,105.31875600,edu, 518a3ce2a290352afea22027b64bf3950bffc65a,Finding iconic images,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 51e50d6e695e402d95099baee82846748bdfb1e0,Leveraging social network information to recognize people,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 5119ca96eeca49a0b1a95cecc798abdb042beb38,Discriminative Local Feature Fusion for Ear Recognition Problem,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +51f9c71debee2ace4c9c29b78a01909f61875acb,Improved active shape model for facial feature localization using poem descriptor,China,China,China,35.86166000,104.19539700,edu, 51410d6bd9a41eacb105f15dbdaee520e050d646,Facial Expression Recognition based on Support Vector Machine using Gabor Wavelet Filter,Varendra University,Varendra University,"department of english Vrendra University, Dhaka - Rajshahi Highway, Talaimari, রাজশাহী, রাজশাহী বিভাগ, 6204, বাংলাদেশ",24.36432310,88.63331050,edu, 51f2e751beeb14c37412a65c8e8f0746edf8382b,Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 510ec82e78895ed5bb2e8e77c2517b2f95d6ab0c,IPCM separability ratio for supervised feature selection,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +51670395402625f1b1ac42df471e6e3fe27865ce,Head-motion Robust Video-based Heart Rate Estimation Using Facial Feature Point Fluctuations,"NEC Corporation, Data Science Research Laboratories, Shimonumabe Nakahara-Ku, Kawasaki Kanagawa, 1753, Japan","NEC Corporation, Data Science Research Laboratories, Shimonumabe Nakahara-Ku, Kawasaki Kanagawa, 1753, Japan","1753 Shimonumabe, Nakahara Ward, Kawasaki, Kanagawa Prefecture 211-0011, Japan",35.57076880,139.66664680,edu, +51749a7531bc31eab63153fedbda840f290b9a00,Personalized Behavior Prediction with Encoder-to-Decoder Structure,China,China,China,35.86166000,104.19539700,edu, 51224ed7519e71346076060092462e3d59ca3ab9,Adaptive Learning for Celebrity Identification With Video Context,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 51bb86dc8748088a198b216f7e97616634147388,Face age estimation by using Bisection Search Tree,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +24f3dfeb95bdecdc604d630acdfcafa1dc7c9124,Behavioural facial animation using motion graphs and mind maps,Instituto de Telecomunicações & Faculdade de Ciěncias da Universidade do Porto,Instituto de Telecomunicações & Faculdade de Ciěncias da Universidade do Porto,"R. Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal",41.14782410,-8.62422610,edu, 249d4ea043ca1917025b00341b4339c3d76fcad5,Human and Machine Performance on Periocular Biometrics Under Near-Infrared Light and Visible Light,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 24229c44961038914a8fd5d569e62ba08237ef9a,Cross-depiction problem: Recognition and synthesis of photographs and artwork,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 246eb49fcd73e2dcd19cf3a76a06e4fd895a62a4,Learning Image Representations Tied to Egomotion from Unlabeled Video,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 24ebb2a940a38fd9cad61272df15a16a738c34f6,Multi-modal gated recurrent units for image description,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 2411270f111a160c9289d56132651c896a5738f6,Video Question Answering via Hierarchical Dual-Level Attention Network Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +241709c37d2a91b79352f1e77f0881f5de709795,Multi-gait identification based on multilinear analysis and multi-target tracking,China,China,China,35.86166000,104.19539700,edu, 24496e4acfb8840616b2960b0e2c80cc4c9e5a87,Multi-attribute spaces: Calibration for attribute fusion and similarity search,University of Colorado at Colorado Springs,University of Colorado at Colorado Springs,"1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA",38.89646790,-104.80505940,edu, 244293024aebbb0ff42a7cf2ba49b1164697a127,Multiscale representation for partial face recognition under near infrared illumination,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +24da352e8f9c463106237b169b96f9472feea1f4,Robust Lane Detection Using Multiple Features,India,India,India,20.59368400,78.96288000,edu, 24d99aea3edb618067c7308cc2261d53f8dd18d1,Sign Language Recognition from Homography,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 24e42e6889314099549583c7e19b1cb4cc995226,Research of face recognition under active infrared lighting based on embedded system,NanKai University,"College of Information Technical Science, NanKai University, CITS, TianJin, China","China, Tianjin, Nankai, Lequn N Rd, 南开大学综合实验楼A区604",39.10335500,117.16492700,edu, 2489a839d0a761ef8520393a7e412c36f5f26324,Clustering with Hypergraphs: The Case for Large Hyperedges,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, +24cf50f79329c29e1fff1f83a9b9daa6130b9cc4,Intensity self similarity features for pedestrian detection in Far-Infrared images,"INSA Rouen, France","Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France","685 Avenue de l'Université, 76800 Saint-Étienne-du-Rouvray, France",49.38497570,1.06832570,edu, +246b8daf3942f0747cd7b99710757bdd59f2472e,Sparse Representation Based Discriminant Locality Preserving Dictionary Learning via Volterrafaces for Face Recognition,Xi'an Peihua University,"Xi'an Peihua University, Intelligent Science & Information Engineering College, Xi'an, China","5 Baisha Rd, GaoXin ShangQuan, Yanta Qu, Xian Shi, Shaanxi Sheng, China, 710065",34.22606100,108.90999560,edu, 2488e73f347e56a165369c5d7999f73a21283e20,Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 24597f588ec766081fb263d32a04c602ca78db04,A High-Definition LIDAR System Based on Two-Mirror Deflection Scanners,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +2479eb0d2eca1ec24825a68134fa67763c8f08b4,Holistic orthogonal analysis of discriminant transforms for color face recognition,China,China,China,35.86166000,104.19539700,edu, 24b5ea4e262e22768813e7b6581f60e4ab9a8de7,"Facial Soft Biometrics for Recognition in the Wild: Recent Works, Annotation, and COTS Evaluation",Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, 24286ef164f0e12c3e9590ec7f636871ba253026,Age and gender classification using wide convolutional neural network and Gabor filter,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu, 24e82eaf3257e761d6ca0ffcc2cbca30dfca82e9,An analysis of the robustness of deep face recognition networks to noisy training labels,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, +2406f413907b7ef31c086755edbb22a7b7b10f5e,Evaluation of a facial recognition algorithm across three illumination conditions,"Purdue Univ., West Lafayette, IN, USA","Purdue Univ., West Lafayette, IN, USA","610 Purdue Mall, West Lafayette, IN 47907, USA",40.42370540,-86.92119460,edu, 24539a503e4f1686aa0daa775e9b50cc97953888,Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 243b82ad6f062c77cb1ad8e5fc56f5fa6f34fc15,Image Captioning with Text-Based Visual Attention,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 28445005727d68aa2706a27205332f92e2239470,Multiple Vehicle Detection with Different Scales in Urban Surveillance Video,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 28707ee894ec3d9aec8c98887dabc6aba35cff82,Improving pedestrian detection,University of Canterbury,University of Canterbury,"University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa",-43.52405280,172.58030625,edu, +28566954cda47c55379a510c160e3f7e70d14917,Generalized Deformable Spatial Pyramid: Geometry-preserving dense correspondence estimation,"Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea","Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea","Seoul, South Korea",37.56653500,126.97796920,edu, 287d0f1c15d40e9f3a851e4bed0991ed5d642c06,Human face recognition by adaptive processing of tree structures representation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 2880f343892683a6dbc6f655f1185d44bf4d1629,BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +2862d405f9d1e957076195b0fefd1bdfe480ca8b,Parallel implementation of eigenface on CUDA,India,India,India,20.59368400,78.96288000,edu, 284b4ae707d6f6fdee850d3960f54178be6109f0,Incorporating global and local observation models for human pose tracking,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, +281949d1041dcbd7b9a9c2fac34859260027411a,Pedestrian detection based on the privileged information,China,China,China,35.86166000,104.19539700,edu, 281b91c35a1af97b1405bc724a04e2be6e24971b,A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 2889eba77ec480a175df2a2e8728d73d12b9b790,Set-based classification for person re-identification utilizing mutual-information,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2824df698947e769a0ade70a885cf002c85eaef9,Studying the effectiveness of using linear subspace techniques to improve SVM classifiers in facial image classification,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, @@ -2427,8 +3452,11 @@ c4d0d09115a0df856cdb389fbccb20f62b07b14e,Environment coupled metrics learning fo 286ea509dad9f46fe04db96d09a503f5cd94a6a6,Highly Accurate and Fully Automatic Head Pose Estimation from a Low Quality Consumer-Level RGB-D Sensor,University of St Andrews,University of St Andrews,"University of St Andrews, North Street, Albany Park Student accommodation, Carngour, St Andrews, Fife, Scotland, KY16 9AJ, UK",56.34119840,-2.79309380,edu, 287627a80bd51b1da4041273e584a188a8992de1,Extracting the Optimal Dimensionality for Discriminant Analysis,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 28f976c807d6caddf6192c59733ec12527d4caba,Fast eye localization based on pixel differences,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +28f7d3d894705a92cac9b08d22701fadb6472676,Non-rigid image registration for visible color and thermal IR face,China,China,China,35.86166000,104.19539700,edu, 28b281cc0d527d3966d753f5d96b3bd0ede10e25,Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels,IBM Almaden Research Center,IBM Almaden Research Center,"IBM Almaden Research Center, San José, Santa Clara County, California, USA",37.21095605,-121.80748668,company, +28b039cb4b00cc4deaf791b5e923d58637714f49,Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework,China,China,China,35.86166000,104.19539700,edu, 282e2f52d8dcac36c8c1a35cdee66da52a07e2ea,Sparse representation classification based on difference subspace,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +2869d03482eca973a0d2640545e657428d05185f,An efficient encoder-decoder CNN architecture for reliable multilane detection in real time,"Visteon Corporation, Karlsruhe, Germany","Visteon Corporation, Karlsruhe, Germany","Amalienbadstraße 41a, 76227 Karlsruhe, Germany",48.99533510,8.46533090,edu, 286cd0494f6d362e9fef7e720edac086caa53cb0,"Face, gender and race classification using multi-regularized features learning",University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 28093e46fbf89c3d9c59d0a011738e3c5709164c,Non-Frontal Facial Expression Recognition Using a Depth-Patch Based Deep Neural Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 28934adf9690c6571de2b0c047d20b7cde7e159a,Effective and efficient attributed community search,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, @@ -2436,75 +3464,119 @@ c4d0d09115a0df856cdb389fbccb20f62b07b14e,Environment coupled metrics learning fo 2814e52e0095c66ec24cf9ac4202ffb9b77c2706,Towards Automated Fish Detection Using Convolutional Neural Networks,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 28a45770faf256f294ce3bbd5de25c6d5700976e,Accurate mouth state estimation via convolutional neural networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 2838373034071d045c360943ba6fcc7e551fb808,Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +28c367cf8d45a3ca8f3e2b59c4098ff5b4ed1f7e,Texture segmentation using image decomposition and local self-similarity of different features,China,China,China,35.86166000,104.19539700,edu, +28453ccaaa89e46383e6164907d3e2a8f38549c6,Large Scale Indexing and Searching Deep Convolutional Neural Network Features,"ISTI-CNR, Pisa, Italy","ISTI-CNR, Pisa, Italy","Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy",43.71925870,10.42079470,edu, 289b9161cf1b474837c1b5a0fdf444ca72b95aee,Blind Image Blur Estimation via Deep Learning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +285830fcf77b1119e7603379750e5bab306ad119,Failure detection for laser-based SLAM in urban and peri-urban environments,"Inria Paris, Paris, France","Inria Paris, Paris, France","2 Rue Simone IFF, 75012 Paris, France",48.84162120,2.38448010,edu, 289f6e4949cd7a5021f11c138c4328d0de0d485c,Incremental GMMSD2 with applications to feature extraction,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu, 287de191c49a3caa38ad7594093045dfba1eb420,Object specific deep feature and its application to face detection,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 8beb24ebe38e5f7e94743e0a9896d1a0bae707ab,Real-time probabilistic fusion of sparse 3D LIDAR and dense stereo,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +8b03a6ad5ca06f35f65e37df0c6da32c6dd59586,VISH: A multimodal biometrie database,India,India,India,20.59368400,78.96288000,edu, 8bfec7afcf5015017406fc04c43c1f43eb723631,Component-Based Recognition of Facesand Facial Expressions,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 8bca3e860a08727511148e691835c9c516894b88,Spatially Optimized Data-Level Fusion of Texture and Shape for Face Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +8bbd40558a99e33fac18f6736b8fe99f4a97d9b1,Visual Object Detection Using Cascades of Binary and One-Class Classifiers,"Laboratoire Jean Kuntzmann, Grenoble, France","Laboratoire Jean Kuntzmann, Grenoble, France","Laboratoire Jean Kuntzmann, 38610 Gières, France",45.19348940,5.77153180,edu, 8bf945166305eb8e304a9471c591139b3b01a1e1,Retrieval of TV Talk-Show Speakers by Associating Audio Transcript to Visual Clusters,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 8bebb26880274bdb840ebcca530caf26c393bf45,Real-time face recognition in HD videos: Algorithms and framework,Ahmedabad University,Ahmedabad University,"School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India",23.03787430,72.55180046,edu, +8b653159e55dbac7130403cafcc9d3e86eb47ab9,Towards Feature Fusion for Human Identification by Gait,"Zhejiang Wanli Univ., Ningbo","Zhejiang Wanli Univ., Ningbo","8 Qianhu S Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000",29.81901400,121.56733700,edu, 8bf53b6a162ce625d0fd5840dc41e1c845b929c4,Learning Person–Person Interaction in Collective Activity Recognition,University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu, 8bc480d32fb4b04c64a1de32fcdb1d281317c9f9,Bayesian learning of a search region for pedestrian detection,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +8b9934758378a78604ce13914e23c6994caa3427,Machine learning techniques to build geometrical transformations for object matching a review,India,India,India,20.59368400,78.96288000,edu, 8b82af24bf580cbd22467ab69c588da87956a7f3,Enhanced Pictorial Structures for precise eye localization under incontrolled conditions,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +8b06d12795c1714960cc0db17687777aad28ab42,Pedestrian detection in digital videos using committee of motion feature extractors,"Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina","Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina","Deán Funes 3350, B7602AYL Mar del Plata, Buenos Aires, Argentina",-38.00537090,-57.57090000,edu, 8b4e353fe825725b53fb42e4ece889b7716d5b41,Fuzzy SVM for 3D facial expression classification using sequential forward feature selection,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, 8b454f38e35e1ee51bd1aa1b16d3d8db5d68fc05,Approximation of feature pyramids in the DCT domain and its application to pedestrian detection,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, +d8ef79377ee77ad3b21315072f092db02ce23287,3D Convolutional Neural Networks Based Speaker Identification and Authentication,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, d84f9b4dd297075aecec1135a280f92c8ce7f1af,Automatic tracking of multiple zebrafish larvae with resilience against segmentation errors,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, d8f96bb4130604bb5e160611d499451882f4166c,Reactive security: responding to visual stimuli from wearable cameras,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, d8f74df3b39204fe06c648796a933506d9980f5c,A new approach to the diagnosis of deficits in processing faces: Potential application in autism research,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu, +d833268a8ea9278e68aaf3bd9bc2c11a5bb0bab7,Two-class 3D-CNN classifiers combination for video copy detection,China,China,China,35.86166000,104.19539700,edu, d8cacaa244667fa4a57e9c55fc1cc4fa2d19a92e,A new depth descriptor for pedestrian detection in RGB-D images,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, d89a754d7c59e025d2bfcdb872d2d061e2e371ba,Towards robotic facial mimicry: System development and evaluation,"TU München, Germany","Image Understanding and Knowledge-Based Systems, TU München, Germany","Arcisstraße 21, 80333 München, Germany",48.14966000,11.56786020,edu, +d89b7eb82a663187f63e7d69dca11f204c74fcb1,Nonlinear Structural Hashing for Scalable Video Search,China,China,China,35.86166000,104.19539700,edu, +d83db03f8eae6dba91ce044c640c6b35ccf541f3,Face and expression recognition based on bag of words method considering holistic and local image features,"Chiba Institute of Technology, Japan","Chiba Institute of Technology, Japan","Japan, 〒275-0016 Chiba Prefecture, 習志野市津田沼2丁目17−1",35.68896740,140.02138730,edu, +d897e942dd9d07c3d1787b44151b691ecef7ec1c,CUDA-based parallelization of a bio-inspired model for fast object classification,"TecNM Instituto Tecnológico de Ensenada, Ensenada, Mexico","TecNM Instituto Tecnológico de Ensenada, Ensenada, Mexico","Boulevard Tecnológico No. 150, Ex-ejido Chapultepec, 22780 Ensenada, B.C., Mexico",31.80595870,-116.59019770,edu, d8b99eada922bd2ce4e20dc09c61a0e3cc640a62,Image factorization and feature fusion for enhancing robot vision in human face recognition,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu, d8c18a88d1a347816b03acf7456fdd16ed54003e,Text driven face-video synthesis using GMM and spatial correlation,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, d8c9bad8d07ae4196027dfb8343b9d9aefb130ff,Power difference template for action recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +d89f17c77369b7a7148c77ecdb2e1fabf90e650f,Improving object color categorization with shapes,China,China,China,35.86166000,104.19539700,edu, +d817729f2fc8509d138f8db73ef0ca519615c8fe,Indexing billions of images for sketch-based retrieval,"Key Laboratory of Machine Perception (Ministry of Education), Peking Univ., Beijing, China","Key Laboratory of Machine Perception (Ministry of Education), Peking Univ., Beijing, China","Zhongguancun N St, Haidian Qu, Beijing Shi, China, 100871",39.99060800,116.31463300,edu, d8fbd3a16d2e2e59ce0cff98b3fd586863878dc1,Face detection and recognition for home service robots with end-to-end deep neural networks,"Futurewei Technologies Inc., Santa Clara, CA","Robotics Lab, Futurewei Technologies Inc., Santa Clara, USA","2330 Central Expy, Santa Clara, CA 95050, USA",37.37344400,-121.96487270,company, d8d13c540c326d45824073c32499590d7cfb291e,The Raincouver Scene Parsing Benchmark for Self-Driving in Adverse Weather and at Night,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +d855791bc23b4aa8e751d6a4e2ae7f5566a991e8,"Evaluation of Facial Expression Recognition by a Smart Eyewear for Facial Direction Changes, Repeatability, and Positional Drift","National Institute of Advanced Industrial Science Technology, Japan","National Institute of Advanced Industrial Science Technology, Japan","1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan",36.06146340,140.13389070,edu, d80f1af929b507593c06442c6ad93e381b40283d,Labeled multi-Bernoulli track-before-detect for multi-target tracking in video,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, +d8e5d94c3c8688f0ca0ee656c79847c7df04c77d,Voice activity detection based on facial movement,Tilburg University,"Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands","Warandelaan 2, 5037 AB Tilburg, Netherlands",51.56314060,5.04197360,edu, d826c91f5ab4281742cf4f603e20192368dab9c6,Low-Rank Sparse Preserving Projections for Dimensionality Reduction,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, d8119108c849aacbaff404d7585ef583e09fb894,Gender Classification from Face Images Based on Gradient Directional Pattern (GDP),Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +d85813b58e10a35703df3a8acf41aafe4b6e1dd2,Facial expression recognition based on PCA reconstruction,Renai College of Tianjin University,"Renai College of Tianjin University, Tianjin, China","Jinghai, Tianjin, China",38.88483400,117.15628000,edu, ef36ca8abf0a23e661f3b1603057963a70e16704,An effective approach of facial age estimation with extreme learning machine,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, +ef9677e5c7dbcc87940b11c3627db56cca9bbf52,YACCLAB - Yet Another Connected Components Labeling Benchmark,"Università degli Studi di Modena e Reggio Emilia, Italy","Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, 41125, Italy","Via P. Vivarelli, 10, 41125 Modena MO, Italy",44.62918470,10.94879780,edu, efaa24efd9b1adaf4b0ad708147fad3fc12f227f,ZSGL: zero shot gestural learning,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +ef57b2b689cb91e0c7f9f9a2691c340349d9b2d4,Affective media and wearables: surprising findings,MIT Media Lab,"MIT Media Laboratory, Cambridge, MA, USA","75 Amherst St, Cambridge, MA 02139, USA",42.36035700,-71.08726400,edu, ef2bb8bd93fa8b44414565b32735334fa6823b56,An accurate and efficient face recognition method based on hash coding,Guilin University of Electronic Technology Guangxi Guilin,Guilin University of Electronic Technology Guangxi Guilin,"桂林电子科技大学金鸡岭校区, 1号, 金鸡路, 七星区, 黄莺岩村, 七星区, 桂林市, 广西壮族自治区, 541004, 中国",25.28739920,110.33242770,edu, ef8f6c58926db1c7433ef899dc6a0eb554a37565,Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +ef363588ceb966d862b4347051d20b8e1b8834f1,A survey: Software API and database for emotion recognition,India,India,India,20.59368400,78.96288000,edu, ef6f2e0ab72d1882265964718b026394e25c7cca,Recognizing affect from non-stylized body motion using shape of Gaussian descriptors,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, ef761435c1af2b3e5caba5e8bbbf5aeab69d934e,Learning Clip Representations for Skeleton-Based 3D Action Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +ef9b8724f857daec94690d03764dd1299d0cbbcd,Adaptive graph orthogonal discriminant embedding: an improved graph embedding method,China,China,China,35.86166000,104.19539700,edu, efe49fcee6aad2489589a3b6dfddeae7730e0798,Local Gaussian Directional Pattern for face recognition,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu, +ef3eb3b3e2285e964b385c015caa0f8a24057f0e,Computer Vision,Xi’an Jiaotong University,"Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China","28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China",34.25080300,108.98369300,edu, ef218ea1129e71bfdf1fc80b01d1dc89d76e0aed,Vision-based shipwreck mapping: On evaluating features quality and open source state estimation packages,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, aa528ffb1c392d519f1183489eccbafbc85c10b0,Multiresolution Hybrid Approaches for Automated Face Recognition,Oakland University,Oakland University,"Oakland University, 201, Meadow Brook Road, Rochester Hills, Oakland County, Michigan, 48309-4401, USA",42.66663325,-83.20655752,edu, aa4047d5f2e9e55b97d03aa7e8fb2a3025598a4b,Speaker verification using support vector machine with LLR-based sequence kernels,National Taipei University of Technology,National Taipei University of Technology,"NTUT, 1, 忠孝東路三段, 民輝里, 東區商圈, 大安區, 臺北市, 10608, 臺灣",25.04306355,121.53468772,edu, +aa6b683c891c15389b90eced73c56f34065ee3be,Super-resolution for face image with an improved K-NN search strategy,China,China,China,35.86166000,104.19539700,edu, aa591e478728f383337916ce4fabcc3f90cb58f0,Recognition of Faces and Facial Attributes Using Accumulative Local Sparse Representations,Pontificia Universidad Catolica de Chile,Pontificia Universidad Catolica de Chile,"Pontificia Universidad Católica de Chile - Campus Lo Contador, 1916, El Comendador, Pedro de Valdivia Norte, Providencia, Provincia de Santiago, Región Metropolitana de Santiago, 7500000, Chile",-33.41916095,-70.61782240,edu, aa892fe17c06e2b18db2b12314499a741e755df7,Improved performance of face recognition using CNN with constrained triplet loss layer,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +aa9738c45df4c71ab2cc98384b4afb0fac9499de,A novel hybrid approach based on principal component analysis and tolerance rough similarity for face identification,India,India,India,20.59368400,78.96288000,edu, +aae7648c8b3acad61463cc1bdb4f17da40f819a4,Context-based multi-target tracking with occlusion handling,"Daimler A.G, Boeblingen, Germany","Daimler A.G, Boeblingen, Germany","Hanns-Klemm-Straße 45, 71034 Böblingen, Germany",48.67904910,8.97664620,edu, aa4af9b3811db6a30e1c7cc1ebf079078c1ee152,Deformable part models with CNN features for facial landmark detection under occlusion,University of the Witwatersrand,University of the Witwatersrand,"University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa",-26.18888130,28.02479073,edu, aa581b481d400982a7e2a88830a33ec42ad0414f,Learning a joint discriminative-generative model for action recognition,"Vision Semantics Ltd, UK","Vision Semantics Ltd, UK",United Kingdom,55.37805100,-3.43597300,edu, aab9a617be6e5507beb457b1e6c2e5b046f9cff0,Face recognition using a pictorial-edit distance,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, aa7c72f874951ff7ca3769439f2f39b7cfd4b202,It's All About the Data,"University of Illinois, Urbana Champaign","Computer Science, U.Illinois at Urbana Champaign, Urbana, United States","Champaign, IL, USA",40.10195230,-88.22716150,edu, +aaf6d6af759fec4228e9730ce4ada272228b172c,A Novel Approach to Detect and Correct Highlighted Face Region in Color Image,China,China,China,35.86166000,104.19539700,edu, aa2b82cec652b8f9808a98ac708058a481822210,Robust super-resolution for face images via principle component sparse representation and least squares regression,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, aa8447c65f93670820124e0a99a2b5e3536700be,Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, aac900e572423cd0f10ae22cb87f610cdee607a7,Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, aa5a7a9900548a1f1381389fc8695ced0c34261a,Multiple facial action unit recognition enhanced by facial expressions,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, aa6e8a2a9d3ed59d2ae72add84176e7b7f4b2912,ORCHARD: Visual object recognition accelerator based on approximate in-memory processing,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +aae29ef5ab6f9f24e8ab7985386c23294d2343cc,Supervised neighborhood regularized collaborative representation for face recognition,China,China,China,35.86166000,104.19539700,edu, aa892a303aac532ccec34ba0e741092df97fdb9b,People counting and pedestrian flow statistics based on convolutional neural network and recurrent neural network,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu, aac19081782914dc359c1a6b9cbc626478e0a957,Remote Sensing-derived hydroperiod as a predictor of floodplain vegetation composition,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, +aad4c94fd55d33a3f3a5377bbe441c9474cdbd1e,A low rank model based improved eye detection under spectacles,India,India,India,20.59368400,78.96288000,edu, aa766115e8bd91a05cb8fdded5ae036c9b03c7d3,Using colour local binary pattern features for face recognition,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, f8162276f3b21a3873dde7a507fd68b4ab858bcc,Generalized Nonlinear Discriminant Analysis,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, f88ce52c5042f9f200405f58dbe94b4e82cf0d34,A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, f8a38c8aa9d2f9f2db64fcc98f5b4770551d70f2,Top-Down Saliency Detection via Contextual Pooling,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, f86c6942a7e187c41dd0714531efd2be828e18ad,Low-rank and structured sparse subspace clustering,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +f8e27d3d390e37b0a82e9ba5d9486178b25ae135,The Cerema pedestrian database: A specific database in adverse weather conditions to evaluate computer vision pedestrian detectors,Blaise Pascal University,"Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France","24 Avenue des Landais, 63170 Aubière, France",45.76187990,3.11271330,edu, f825f784733c764128ddd1c620b0b0884941e2b6,Semantic Background Estimation in Video Sequences,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +f8ba921670c94ed94d94a98d64f38b857b0dc104,Facial expression recognition using multi-class minimax probability machine,China,China,China,35.86166000,104.19539700,edu, +f894375c28c685fec586b722a08a78f45f931d04,How biometrics along with tablet devices shall create great learning opportunities in classrooms: The BT framework,India,India,India,20.59368400,78.96288000,edu, +f8dfa96a9d146b23bf266d6d880e485e636b0f60,Analysis and improvement of joint bilateral upsampling for depth image super-resolution,"SenseNets Corporation, Shenzhen, China","Center of Research and Development, SenseNets Corporation, Shenzhen, China","Shenzhen, Guangdong, China",22.54309600,114.05786500,company, f8f92624c8794d54e08b3a8f94910952ae03cade,CamStyle: A Novel Data Augmentation Method for Person Re-Identification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +f8ca23fdb2c9f62a0492147f1f015579049ad3cc,How do neural responses to eyes contribute to face-sensitive ERP components in young infants? A rapid repetition study,Heidelberg University,"Institute of Psychology, Heidelberg University, Heidelberg, Germany","Hauptstraße 47-51, 69117 Heidelberg, Germany",49.41092660,8.69795290,edu, +f8c9a3412f3c74ee4ac1865bfc1da3ccf3b2b3d4,Facial expression recognition based on dual-feature fusion and improved random forest classifier,China,China,China,35.86166000,104.19539700,edu, f858c5d0052d19fe780affccb1f38b1e826ed091,A Fast and Accurate Multi-Model Facial Expression Recognition Method for Affective Intelligent Robots,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +f8cd3c8f27b3928862a16c1a087c445e095079a0,A framework for image classification for an efficient dictionary based face recognition system,India,India,India,20.59368400,78.96288000,edu, f8a3135aa603d53bbc5c13a7b16984761694475d,Orthographic Perspective Mappings for Consistent Wide-Area Motion Feature Maps From Multiple Cameras,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, f85ccab7173e543f2bfd4c7a81fb14e147695740,A method to infer emotions from facial Action Units,"Samsung R&D Institute, Bangalore, India","Samsung R&D Institute, Bangalore, India","#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India",12.98035370,77.69751010,company, +f854faafdd6c4f4144012f1de26573eddabd040c,"3-D face recognition: features, databases, algorithms and challenges",India,India,India,20.59368400,78.96288000,edu, +f898ac4c468d46fde9f6393541759cb8d22a0ce2,Human Behavior Understanding,"Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Modena, Modena, Italy","Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Modena, Modena, Italy","Via P. Vivarelli, 10, 41125 Modena MO, Italy",44.62918470,10.94879780,edu, 7c5c4ed47bccd0016d53b7bbc27a41dd74bebf1e,Adaptive generic learning for face recognition from a single sample per person,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 7c90dc1b0eb50900e38e796b5e18d50fb83571ba,Emotion Recognition Using Deep Neural Network with Vectorized Facial Features,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu, 7c3214dbf680131a871a1c03434bb8c297f9b8bd,Novel multi-convolutional neural network fusion approach for smile recognition,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 7cfbf90368553333b47731729e0e358479c25340,"Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +7c8242e68445118798e2e1eedc287e88a3d8e76a,An intelligent fitting room using multi-camera perception,"PARC, Palo Alto, CA","PARC, Palo Alto, CA","1314, 3333 Coyote Hill Rd, Palo Alto, CA 94304, United States",37.40245320,-122.14796320,company, 7caa3a74313f9a7a2dd5b4c2cd7f825d895d3794,Markov Chain Monte Carlo for Automated Face Image Analysis,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, 7c66e7f357553fd4b362d00ff377bffb9197410e,Gaussian Process Domain Experts for Modeling of Facial Affect,MIT Media Lab,"MIT Media Laboratory, Cambridge, MA, USA","75 Amherst St, Cambridge, MA 02139, USA",42.36035700,-71.08726400,edu, 7c0d3882c02c2adac5f587c18b4dd1179c41753c,Deep learning network for face detection,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, +7c65429c04ae814384090fac76089c3151394ee1,Facial Expression Classification using Gabor and Log-Gabor Filters,Victoria University of Technology,"Victoria University of Technology, Australia","238A Nicholson St, Footscray VIC 3011, Australia",-37.80486080,144.89839710,edu, +7c0d8e61d1c2fcd0c760f3df7e94aa38e52ef028,Component based representation for face recognition,China,China,China,35.86166000,104.19539700,edu, 7c57ac7c9f84fbd093f6393e2b63c18078bf0fdf,Investigating 3-D Model and Part Information for Improving Content-Based Vehicle Retrieval,"Industrial Technology Research Institute, Hsinchu, Taiwan","Industrial Technology Research Institute, Hsinchu, Taiwan","工研院, 195, 中興路四段, 頭重里, 竹東鎮, 新竹縣, 31040, 臺灣",24.77417560,121.04509279,edu, +7cec368016b146254817d5c0138876d2772894c2,Discovering latent spatial structured patterns using graph models for scene classification,China,China,China,35.86166000,104.19539700,edu, +7c54240c23d42703ddc85089d167f4985614cc3a,Overview on emotion recognition system,India,India,India,20.59368400,78.96288000,edu, 7cca4d680152ed43e6dd8cc55d9ea55e2ed64eae,Image Restoration with Deep Generative Models,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 7c0773c7578433a2277e919ac824f142d5de351c,Zero-shot object recognition by semantic manifold distance,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +7c2811070594a6cae2a1282670d8aabe77bb9c0d,Dedicated mechanisms for the attention system in humanoid robots,"Institut fur Nachrichtentechnik, Universitat Karlsruhe, Germany","Institut fur Nachrichtentechnik, Universitat Karlsruhe, Germany","Kreuzstraße 11, 76133 Karlsruhe, Germany",49.00900590,8.40550090,edu, 7cee0311e71dca540aaf3d87bef3a6c97ca39bc3,The performance of proposed deep residual learning network of images,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 7ccc0f8748e499a4131f0f0ba94cc7d79c3f5cb6,Chart classification by combining deep convolutional networks and deep belief networks,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, 7c7551e47cda1822de672d7ed2e05b77572bc6cc,High-dimensional face data separation for recognition via low-rank constraints,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, @@ -2513,25 +3585,37 @@ f85ccab7173e543f2bfd4c7a81fb14e147695740,A method to infer emotions from facial 7c9fc1a61359a07cba839945360b1fb617a5af0e,Video-based crowd counting with information entropy,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 7c13fa0c742123a6a927771ce67da270492b588c,Deep Bidirectional Cross-Triplet Embedding for Online Clothing Shopping,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 7cb3eac464ad6607819f45e920c4784ad631e0b9,Boosting performance for 2D Linear Discriminant Analysis via regression,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, +7c5e33e18ef4fe92907bd1b9d752bcd85a4ec90c,Multiple-shot human re-identification by Mean Riemannian Covariance Grid,"INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France","INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France","2004 Route des Lucioles, 06902 Valbonne, France",43.61581310,7.06838000,edu, 7c3c4c64cd5c0d962f8f0c875dd86006cafe30b8,A Dense Phase Descriptor for Human Ear Recognition,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +3cca51f66b9693bc188557abe8a628580ae62aa2,The influence of perceptual similarity and individual differences on false memories in aging,Pennsylvania State University,Pennsylvania State University,,,,edu, +3cbd3124b1b4f95fcdf53abd358d7ceec7861dda,Convolutions through time for multi-label movie genre classification,"Pontifícia Universidade Católica do RS, Porto Alegre-RS, Brazil","Pontifícia Universidade Católica do RS, Porto Alegre-RS, Brazil","Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil",-30.05934460,-51.17349120,edu, +3cf24e5e15deef58cfc9ef43470a7db9a2bb97d2,Improving business rating predictions using graph based features,The University of Haifa,"The University of Haifa, Haifa, Israel","Abba Khoushy Ave 199, Haifa, 3498838, Israel",32.76142960,35.01951840,edu, 3cd22b5b81a0172d608ff14be71b755d1f68c201,Face Recognition Using Composite Features Based on Discriminant Analysis,Chung-Ang University,Chung-Ang University,"중앙대학교, 서달로15길, 흑석동, 동작구, 서울특별시, 06981, 대한민국",37.50882000,126.96190000,edu, 3c1b73509cc09200e96ab9cfb28ebfd9d1d6aa9a,Nonoptimality of the Maximum-Weight Dependence Tree in Classification,Nazarbayev University,Nazarbayev University,"Назарбаев Университет, проспект Туран, BI village, Астана, район Есиль, Астана, 010000, Казахстан",51.09028540,71.39725263,edu, 3c16b4c829d6fb0ae73211e19e99e424ed02ae52,HeatSpace: Automatic Placement of Displays by Empirical Analysis of User Behavior,TU Berlin,TU Berlin,"Franklinstraße 28-29, 10587 Berlin, Germany",52.51806410,13.32504250,edu,"Franklinstr. 28/29, 10587, Germany" 3c71475ac56fe2875de2a61254ea4f8636a1d971,Person re-identification with content and context re-ranking,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 3cd27ba9984367f0024767f439a5089255737036,Vicept: link visual features to concepts for large-scale image understanding,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +3c9c948eaa2f5c9c2a8ab13e03b6a462dd90c946,Fast human detection in RGB-D images based on color-depth joint feature learning,"Intel Labs China, Intel Corporation, Beijing, 100086, China","Intel Labs China, Intel Corporation, Beijing, 100086, China","Haidian, Beijing, China, 100086",39.96624400,116.32700390,company, +3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc,Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory,China,China,China,35.86166000,104.19539700,edu, +3ca6adc90aae5912baa376863807191ffd56b34e,Exploring Facial Asymmetry Using Optical Flow,China,China,China,35.86166000,104.19539700,edu, +3cbf60c4a73fadd05b59c3abd19df032303e8577,Incremental Deep Hidden Attribute Learning,"National Institute of Informatics, Japan","National Institute of Informatics, Japan","2 Chome-1-2 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan",35.69248530,139.75825330,edu, 3ce96f03874d42345c0727edc78b6949b20b4a11,Image attribute learning with ontology guided fused lasso,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 3c09d15b3e78f38618b60388ec9402e616fc6f8e,Neural networks recognition rate as index to compare the performance of fuzzy edge detectors,"Tijuana Institute of Technology, Mexico","Division of Graduate Studies of Tijuana Institute Technology, Mexico","San Diego, CA 92161, USA",32.87853490,-117.23583070,edu, 3c3477903b5138fe5e5e007556981387dd391f77,Online adaptive multiple pedestrian tracking in monocular surveillance video,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, 3cc2d6ace4cf0bc3a6c4df5ca8da892275ca201f,Video similarity detection using fixed-length Statistical Dominant Colour Profile (SDCP) signatures,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu, +3c531cd922bdf3f03fee12c82a77a7eaedc6734c,User identification approach based on simple gestures,Finland,Finland,Finland,61.92411000,25.74815110,edu, 3cb057a24a8adba6fe964b5d461ba4e4af68af14,Perceptual Annotation: Measuring Human Vision to Improve Computer Vision,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 3c089b8175ebca4a3e2caa5b1291f1c39341414c,Beyond Memorability: Visualization Recognition and Recall,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, +3c7d2ac29c867600d3bda5b356db76e3a5014a71,Decentralized particle filter for joint individual-group tracking,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 3c4d0c604d892572996c1ee0504a1f1e0887a2ce,Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 3c3915c5b550dc514d308122beb9298afd32995a,Feature detection on 3D face surfaces for pose normalisation and recognition,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu, +3c307cddf2bf84b4abcc96a362fe385c2d891c9b,A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu, 73e3acf30ecce3771557aa083d5a83308049582b,Two-stream deep encoder-decoder architecture for fully automatic video object segmentation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 73ba33e933e834b815f62a50aa1a0e15c6547e83,Invariant feature extraction for facial recognition: A survey of the state-of-the-art,University of KwaZulu-Natal,University of KwaZulu-Natal,"238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa",-29.86742190,30.98072720,edu, 73def276518d88b8f6ee4e578e861284473c36e4,A learning approach for real-time temporal scene flow estimation from LIDAR data,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, 73e271ba44a183fb3d678ac2dbb025727da3725d,Cgroup-aware load balancing in heterogeneous multi-processor scheduler,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu, 7302d800c962b5cb705a269cda8525634cfe64a7,Decision Fusion for Multimodal Biometrics Using Social Network Analysis,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, +73c4963d308bd54e61bc46544f4552aad5dd1d91,Data-driven enhancement of facial attractiveness,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu, 7314a2d0251ab9d65c0a468c39bbeacc3d565408,Subspace Data Visualization with Dissimilarity Based on Principal Angle,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 73b5261948b9b1e998bc84edf061efd354dac479,Watching the TV Watchers,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 73071addca7a387b8cc5762713a10b7347168a23,VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, @@ -2539,26 +3623,34 @@ f85ccab7173e543f2bfd4c7a81fb14e147695740,A method to infer emotions from facial 73e0ff21029d337af53e030ec269c1b7aaffc3b7,Deep Discriminative Clustering Network,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 7384610776ec405dc84e47f2d353aa6d3cc03b1d,The facial expression recognition method of random forest based on improved PCA extracting feature,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 73f341ff68caa9f8802e9e81bfa90d88bbdbd9d2,Report on the BTAS 2016 Video Person Recognition Evaluation,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, +73528766101a4577a48a8c03119c26fbb8228748,Fashion image classification using matching points with linear convolution,India,India,India,20.59368400,78.96288000,edu, 73891f78310a6846da559ef36cdbac905961e4a3,Generation of emotional feature space for facial expression recognition using self-mapping,Akita University,Akita University,"秋田大学手形キャンパス, 秋田八郎潟線, 手形字扇田, 広面, 秋田市, 秋田県, 東北地方, 010-0864, 日本",39.72781420,140.13322566,edu, 73f965d9b521117d35ff3ea7e71250ac5d8388a9,Dependence structure of Gabor wavelets for face recognition,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +73f082696716e9ed0c04a7bac5e893a139a02a9c,Multiple-part based Pedestrian Detection using Interfering Object Detection,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 738947f9b0bc50d1b7d5cbe84856bc18fcaee386,Deep learning-based human head detection and extraction for robotic portrait drawing,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +73dcb4c452badb3ee39a2f222298b234d08c21eb,Face recognition and facial expression identification using PCA,India,India,India,20.59368400,78.96288000,edu, 73af3cbbabb7a63498944fbb8f9e39b5570aee76,"A Survey of Zero-Shot Learning: Settings, Methods, and Applications",Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 66316822e626b4af8ef2547f1ba3e7735c24a203,Real-Time and Accurate Segmentation of 3-D Point Clouds Based on Gaussian Process Regression,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 6637404f65c0896d5b52265bcd4fa5433fea1db1,A robust recognition system for partially occluded faces,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, 66cf52b29ef32d5a13c646eceaca98cb08fee6ba,Pose-tolerant Non-frontal Face Recognition using EBGM,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +663a60841c3e703d7c18cf78f0657efee6aebb9d,A review of object detection based on convolutional neural network,"Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou 310018, China","Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou 310018, China","Jianggan, Hangzhou, Zhejiang, China, 310018",30.31600970,120.37394070,edu, 66e8e8a098a26d61c1844baeb5e9aa761137edbb,Multi-Pedestrian Detection from Effective Proposal in Crowd Scene,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 666676bd70062061c25080ee9b2b3161176a95d6,A novel approach to automatic detection of presentation slides in educational videos,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 66449f6eb492864c86ab80e81417b5003a76a36b,Video emotion recognition in the wild based on fusion of multimodal features,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, 6601a96220005883572fad5aa6b4632e413c8e5e,Recurrent learning of context for salient region detection,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 6626e883c82914d9fffc0761e2eddfdcd3ffd96d,An illumination insensitive framework using robust illumination normalization and spectral regression kernel discriminant analysis for face recognition,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +661e7e21f3db8c8faa6e4325f6c71377da7f188f,Multiple Object Class Detection with a Generative Model,University of Surrey Guildford,"University of Surrey Guildford, UK","388 Stag Hill, Guildford GU2 7XH, UK",51.24218390,-0.59054210,edu, 6688b2b1c1162bc00047075005ec5c7fca7219fd,Face expression recognition: A brief overview of the last decade,West University of Timișoara,"Faculty of Electronics and Telecommunications “POLITEHNICA” University from Timişoara Timişoara, România","Bulevardul Vasile Pârvan, Timișoara, Romania",45.74728570,21.22630020,edu, 665b653b37b9760fe8633b513c12508dc4b45872,Handbook of Biometric Anti-Spoofing,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 66ec085c362f698b40d6e0e7b10629462280c062,Illumination compensation and normalization using logarithm and discrete cosine transform,"Nanyang Technological University, Singapore","Comput. Control Lab, Nanyang Technol. Univ., Singapore","50 Nanyang Avenue, Block N4 #02a-32, Singapore 639798",1.34619520,103.68154990,edu, +662a88ad79e390c2436ee124f03c5b5763074498,Integrating Orientation Cue With EOH-OLBP-Based Multilevel Features for Human Detection,China,China,China,35.86166000,104.19539700,edu, 666193b0ef5eebb3a863792bed8a27fa2d40b06a,Face Recognition Using Angular LDA and SVM Ensembles,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 663eb30b98e84d67a7468b6a6a996fcca600bf0a,Scalable Discrete Supervised Multimedia Hash Learning With Clustering,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 6689aee6c9599c1af4c607ea5385ac0c2cf0c4b3,Fast and compact Kronecker-structured dictionary learning for classification and representation,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 6665aea27cbe927ba67c1a3b512362aa07a544d0,Fusion of region-based representations for gender identification,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 6670a64f6898accdb8cfc7aae50dee0af369c6a2,Local Representation of Facial Features,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +66a9c35828b1a4c264008a35fdb975a07c128fa2,Learning drone-control actions in surveillance videos,"Agency for Defense Development, Korea","Agency for Defense Development, Korea","산25 Geoyeo-dong, Songpa-gu, Seoul, South Korea",37.49346760,127.14052210,edu, +66dd296261268061140f60b0cebec9580148c346,Beyond Group: Multiple Person Tracking via Minimal Topology-Energy-Variation,Technology University of Darmstadt,"Fraunhofer Institute for Computer Graphics Research, Technology University of Darmstadt, Darmstadt, Germany","Fraunhoferstraße 5, 64283 Darmstadt, Germany",49.87421700,8.65951200,edu, 6634318fa67bb8866d2579760c7b5763d0ee46a3,Detection by detections: Non-parametric detector adaptation for a video,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, 66aaa719c84c5ab833eb9cd8a8566d9a110ffc48,Comparing Interrelationships Between Features and Embedding Methods for Multiple-View Fusion,University of Liverpool,University of Liverpool,"Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK",53.40617900,-2.96670819,edu, 661c78a0e2b63cbdb9c20dcf89854ba029b6bc87,Structure-aware multi-object discovery for weakly supervised tracking,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, @@ -2567,13 +3659,20 @@ f85ccab7173e543f2bfd4c7a81fb14e147695740,A method to infer emotions from facial 804b4d57dace42dc8ac4d594db9ad93de33c8d6a,Precise localization of eye centers with multiple cues,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 80ce8b6abd00c4148f03011944ce03d38fb82c39,Object Tracking via Deep Multi-View Compressive Model for Visible and Infrared Sequences,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 80aa455068018c63237c902001b58844fcc6f160,Sparse eigentracker augmented by associative mapping to 3D shape,Okayama University,Okayama University,"岡山大学, 津高法界院停車場線, 津島東2, 津島東, 北区, 岡山市, 岡山県, 中国地方, 700-0081, 日本",34.68933930,133.92222720,edu, +80e6c8a17b178786d0db50dc9c68ad68df7f1fe0,Semeoticons - reading the face code of cardio-metabolic risk,Norwegian University of Science and Technology,"Norwegian University of Science and Technology, Trondheim, Norway","Høgskoleringen 1, 7491 Trondheim, Norway",63.41949900,10.40207710,edu, +8004e5f2d50dde9c7210cd8956d26362c262d40f,The hierarchical high-speed neural network image classification algorithm for video surveillance systems,Russia,Russia,Russia,61.52401000,105.31875600,edu, 8036bc816101ac5c000dab700d2108b907d832d8,3D face reconstruction and recognition using the overfeat network,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu, 8043117df3fab932c715f2361f1a8bf0f45755dc,Efficient Correlation Tracking via Center-Biased Spatial Regularization,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, 80936791605589168f05e0d56d1a934a876dee02,Multi-path traces in semantic graphs for latent knowledge elicitation,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 80ed678ef28ccc1b942e197e0393229cd99d55c8,Face recognition based on Kinect,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 8027a9093f9007200e8e69e05616778a910f4a5f,Generating face images under multiple illuminations based on a single front-lighted sample without 3D models,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 8096d92af2b3fdf6c43769d5aca9082a7958a07d,Joint Object Tracking and Segmentation with Independent Convolutional Neural Networks,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, +80f281f4ac7e06d1741b91279de5b12a7a167e30,Eye location method based on Gabor wavelet and topographic feature extraction,China,China,China,35.86166000,104.19539700,edu, +80e9c28c369a6c49f9dd10473c663a25dc9716d5,EEG signal and video analysis based depression indication,India,India,India,20.59368400,78.96288000,edu, +80774ae06a562555cc1336da6004618cb9ea170c,Fusion of PHOG and LDP local descriptors for kernel-based ear biometric recognition,India,India,India,20.59368400,78.96288000,edu, +806bf27919283dd4db3aef8a64e053ca5052840d,The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 802f6a704b93291aa049e80c16af7d2bce7dd92c,Feature Quality-Based Dynamic Feature Selection for Improving Salient Object Detection,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, +8021235b11ef4d9495287a9d55047df08ae5a5e0,Data-driven light field depth estimation using deep Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu, 80e0c604cdae5a9775cff69be8f4c1ad64aa16dd,Speech emotion recognition with unsupervised feature learning,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, 80bf17031c5774501ef03a75b329f6740b43c3fd,Multi-player detection in soccer broadcast videos using a blob-guided particle swarm optimization method,K.N. Toosi University of Technology,K.N. Toosi University of Technology,"دانشکده مهندسی عمران و نقشه برداری, ولی عصر, کاووسیه, منطقه ۳ شهر تهران, تجریش, بخش رودبارقصران, شهرستان شمیرانات, استان تهران, 1968653111, ‏ایران‎",35.76427925,51.40970276,edu, 8061564db4c15aed794f9e9c4f624757101cdd56,Out of sight: a toolkit for tracking occluded human joint positions,University of St Andrews,University of St Andrews,"University of St Andrews, North Street, Albany Park Student accommodation, Carngour, St Andrews, Fife, Scotland, KY16 9AJ, UK",56.34119840,-2.79309380,edu, @@ -2586,46 +3685,67 @@ f85ccab7173e543f2bfd4c7a81fb14e147695740,A method to infer emotions from facial 809e5884cf26b71dc7abc56ac0bad40fb29c671c,On SIFTs and their scales,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, 801593e5de666e4d93d0a40e8b563907191c7ff8,Structural sparse representation for object detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 8039c28bb693b872c732bad66eab34663df88f35,Age estimation from human body images,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +597bca76d9c983f0b71ff1143d80ea91bf97cb25,Semi-automatic video object segmentation by advanced manipulation of segmentation hierarchies,Disney Research Zurich,Disney Research Zurich,"Stampfenbachstrasse 48, 8006 Zürich, Switzerland",47.38047690,8.54299640,company, 59d492a80f190a71a3ed99fe03c50987cc278249,Dynamic texture using deep learning,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 5981e6479c3fd4e31644db35d236bfb84ae46514,Learning to associate: HybridBoosted multi-target tracker for crowded scene,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 59691415e1d23d985849da0bdbd1c51245710555,Region and Temporal Dependency Fusion for Multi-label Action Unit Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +59448d96cff9825d86e50d931fbb576e008efbe7,Hausdorff Metric based Feature Extractor,India,India,India,20.59368400,78.96288000,edu, +5981c309bd0ffd849c51b1d8a2ccc481a8ec2f5c,SmartFace: Efficient face detection on smartphones for wireless on-demand emergency networks,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 591094c5428c6010f87ecb93c89976a54cd63bbd,Automatic face detection system for street view images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 59c33ec110a0840ea8a639426b3e11739eff2e36,RFIW: Large-Scale Kinship Recognition Challenge,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 59b83666c1031c3f509f063b9963c7ad9781ca23,Hierarchical Committee of Deep CNNs with Exponentially-Weighted Decision Fusion for Static Facial Expression Recognition,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 59deea5077fb537f8d7258c740c4b9a5cf1f4b8e,LDADEEP+: Latent aspect discovery with deep representations,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 5907ca4b91c8e8d846871e045bce9a4ca851053a,Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 5998a015a5f1b72761256759808f9529a7717058,A deep transfer learning approach to fine-tuning facial recognition models,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu, +5999930ce9a93704fc40855eb4790e831e54f966,Human skin detection and face recognition using fuzzy logic and eigenface,India,India,India,20.59368400,78.96288000,edu, 592370b4c7b58a2a141e507f3a2cc5bbd247a62e,Teaching emotion expressions to a human companion robot using deep neural architectures,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, 5957936195c10521dadc9b90ca9b159eb1fc4871,LBP-ferns-based feature extraction for robust facial recognition,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, 59ede79c2f3e004ae959a329bb8a56804cecec16,Human tracking using multiple views,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, +594ec0a7839885169c65133cfe50164d4cc74b5c,Automated and objective action coding of facial expressions in patients with acute facial palsy,University Hospital Jena,"Facial Nerve Center, University Hospital Jena, Jena, Germany","Bachstraße 18, 07743 Jena, Germany",50.92890280,11.57875720,edu, 5926e1e4ae5dace2c723a9c539c4a17433bda8c6,Incoherent dictionary learning for sparse representation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 59ce048ce1f01704f37d2d60e033c3382118ecad,Obtaining three-dimensional trajectory of multiple fish in water tank via video tracking,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +59f788c69c2ce520fd6f0b80d01aca72f7f8d859,Facial expression recognition using Stochastic Neighbor Embedding and SVMs,China,China,China,35.86166000,104.19539700,edu, 59423a5286d25134a916dc9439ebebe28893aaec,An auxiliary gaze point estimation method based on facial normal,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 7eb4c9ebd70092b3d93a79cdf68bc4e2f35b4b65,Exploiting Privileged Information from Web Data for Action and Event Recognition,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 7e242d08aea74eaf71bba3981ea778f834891540,Human ear recognition based on deep convolutional neural network,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 7e1d764e986855dab2d88c5ef69d100af5645f43,Maximizing intra-individual correlations for face recognition across pose differences,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 7ec16949adf6ea78054f6c6512f332a86960b91f,Computer Vision – ECCV 2016,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 7ebfa8f1c92ac213ff35fa27287dee94ae5735a1,A Novel Transient Wrinkle Detection Algorithm and Its Application for Expression Synthesis,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +7e2f7c0eeaeb47b163a7258665324643669919e8,Classifying advertising video by topicalizing high-level semantic concepts,China,China,China,35.86166000,104.19539700,edu, +7ed88b4444de20cda76cd73f7374ccb76e753002,Feature selection method with common vector and discriminative common vector approaches,"Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Turkey","Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Turkey","Yeşiltepe Mahallesi, Yunus Emre Kampüsü, 26470 Tepebaşı/Eskişehir, Turkey",39.79128710,30.49918840,edu, +7edb08d07fec2d4eaadedfa2b4e07afaedea4807,Using Haar classifiers to detect driver fatigue and provide alerts,Umm AL-Qura University,"Deanship of E-learning and Distance Education, Umm AL-Qura University, Mecca, Saudi Arabia",طريق الأمير سلطان بن عبد العزيز، Makkah Saudi Arabia,21.32983610,39.94888910,edu, +7e90e316819f220aa728dc1ddf73cf1d90e0af33,Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information,"Center for OPTical IMagery Analysis and Learning and Xi'an Institute of Optics and Precision Mechanics, Xi'an, China","Center for OPTical IMagery Analysis and Learning and Xi'an Institute of Optics and Precision Mechanics, Xi'an, China","Xi'an, Shaanxi, China",34.34157400,108.93977000,edu, +7ec431e36919e29524eceb1431d3e1202637cf19,Object detection and tracking in crowd environment — A review,India,India,India,20.59368400,78.96288000,edu, 7e27d946d23229220bcb6672aacab88e09516d39,DLSTM approach to video modeling with hashing for large-scale video retrieval,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +7eb145b301a78d6006cb2c560f9368553101659c,Editing by Viewing: Automatic Home Video Summarization by Viewing Behavior Analysis,"Insititute of Information Science, Academia Sinica, Taipei, Taiwan","Insititute of Information Science, Academia Sinica, Taipei, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu, 7e915bb8e4ada4f8d261bc855a4f587ea97764ca,People detection in crowded scenes via regional-based convolutional network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +7ecbc1b186b4b2f6f6ea786572252984f1deb667,Mining exoticism from visual content with fusion-based deep neural networks,"Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany","Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany","TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany",52.38151500,9.72017100,edu, 7ed24153b125bcce3fee92785ec8f7af5b011cff,Contextual saliency with an application to visual tracking,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, +7e63dc2831c93437cc3a6f1b80722669fdfef051,Elastic radial curves to model 3D facial deformations,"FSU, Tallahassee, Tallahassee, FL, USA","FSU, Tallahassee, Tallahassee, FL, USA","600 W College Ave, Tallahassee, FL 32306, USA",30.44187780,-84.29848890,edu, 7e6f2f7e644ca8dc5987c7d4e4a3709c93cd17ee,Video Annotation and Retrieval Using Ontologies and Rule Learning,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +7ee7b0602ef517b445316ca8aa525e28ea79307e,Emotion detection through fusion of complementary facial features,India,India,India,20.59368400,78.96288000,edu, +7eae1076f95bd2a16d2901003fbc2e7441c80a56,Description and retrieval of 3D face models using iso-geodesic stripes,University of Firenze,"University of Firenze, Firenze, Italy","Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 7e60b357a668b685203d50742d25927b71c43c2a,Visual Relationship Detection Based on Local Feature and Context Feature,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 7edd4a32059476ded7493e6438fffb26ab298121,Deep Learning Based Machine Vision: First Steps Towards a Hand Gesture Recognition Set Up for Collaborative Robots,University of Brescia,University of Brescia,"Brescia University, West 7th Street, Owensboro, Daviess County, Kentucky, 42303, USA",37.76893740,-87.11138590,edu, 7ead08b98488f2cbce655e26689e9867ae4e9b0d,Map-MRF based LIP segmentation without true segment number,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 7ed5036a7c1eb2ea08fa2a12a446a9ccb6171c92,Size variant landmark patches for Facial Action Unit detection,Bahçeşehir University,Bahcesehir University,"BAU Galata, 24, Kemeraltı Caddesi, Müeyyedzade, Beyoğlu, İstanbul, Marmara Bölgesi, 34425, Türkiye",41.02451875,28.97697953,edu, +7e8870d626d8ff3a2d8bc970390a7b130acfcb99,Fuzzy Local Mean Discriminant Analysis for Dimensionality Reduction,Yangzhou University,"College of Information Engineering, Yangzhou University, Yangzhou, China","196 Huayang W Rd, Hanjiang Qu, Yangzhou Shi, Jiangsu Sheng, China",32.33934870,119.39704100,edu, 7eee9c288bfa94bd955cafc3d12a02aeef7b4075,Research on abnormal behavior target tracking algorithm in airport intelligent video surveillance,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 7e456e94f3080c761f858264428ee4c91cd187b2,Recognition of facial expressions using locally weighted and adjusted order Pseudo Zernike Moments,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 7e0c82b3225a12752dd1062292297b6201ca8d6e,One-class label propagation using local cone based similarity,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, +7ed5af241061a6d88e0632a51a91d59627b00c34,Development and testing of a LBP-SVM based teeth visibility recognizer,China,China,China,35.86166000,104.19539700,edu, aeb2f8e94b8e7f90327fbda3e6eea7313c9ec2e0,Coupled-layer based visual tracking via adaptive kernelized correlation filters,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, ae0f8936faeae1b714831fcdfa889a6fbbda82e4,Coupled-layer neighbor embedding for surveillance face hallucination,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, ae7604b1840753e9c2e1ab7a97e02f91a9d81860,Automatic facial emotion recognition using weber local descriptor for e-Healthcare system,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, ae78469de00ea1e7602ca468dcf188cdfe2c80d4,Temporal Convolutional Neural Network for Gesture Recognition,Communication University of China,Communication University of China,"中国传媒大学, 朝阳路, 定福庄, 朝阳区 / Chaoyang, 北京市, 100024, 中国",39.91199955,116.55189141,edu, ae8febda8de382422962c4ff73f87d92c5e029df,Human recognition for following robots with a Kinect sensor,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, aedc9a615b97442ddc4fd07427ff8595965d46c6,Face and Human Gait Recognition Using Image-to-Class Distance,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +aee92d9db9c313e321336e53a6097c57cc0853ab,Locally Assembled Binary feature with feed-forward cascade for pedestrian detection in intelligent vehicles,"College of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China","College of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China","China, Shandong, Yantai, Penglai, S Ring Rd, 滨海中路191号",37.79425400,120.75774700,edu, +ae6e8ad5bce62d2f93ae3a039368f4e90c83922b,A novel method for image classification,China,China,China,35.86166000,104.19539700,edu, +ae922364835393d0fd471c365b2eb025f28cf701,Active Shape Models with Invariant Optimal Features: Application to Facial Analysis,University of Zaragoza,"University of Zaragoza, Spain","Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain",41.64206390,-0.90150650,edu, aecb15e3e9191eb135bdba2426967bfac3f068db,3D face recovery from intensities of general and unknown lighting using Partial Least Squares,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu, aef99e4bd20c33edc29aa85806412b386286632f,Automatic detection of non-posed facial action units,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu, -aec7ba707a37446fbf39cec960951ded2d575267,Learning Multiple Kernel Metrics for Iterative Person Re-Identification,Soochow University,Soochow University,"苏州大学(天赐庄校区), 清荫路, 钟楼社区, 双塔街道, 姑苏区, 苏州市, 江苏省, 215001, 中国",31.30709510,120.63573987,edu, +aec7ba707a37446fbf39cec960951ded2d575267,Learning Multiple Kernel Metrics for Iterative Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, ae89e464576209b1082da38e0cee7aeabd03d932,Robust face recognition using generalized neural reflectance model,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, aee3427d0814d8a398fd31f4f46941e9e5488d83,Face verification with aging using AdaBoost and local binary patterns,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, aed274a7e72bdd9250e22d22614b87c8b5bfe8ce,Profiling stationary crowd groups,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -2639,25 +3759,35 @@ ae88996aad98bfa49a49d653fd9476e5982e982c,Efficient Group-n Encoding and Decoding aeab405df790f12470f232fe475f7412ef324655,A New Deep Learning Application Based on Movidius NCS for Embedded Object Detection and Recognition,Firat University,Firat University,"Erzincan Üniversitesi Hukuk Fakültesi Dekanlığı, Sivas-Erzincan yolu, Üçkonak, Erzincan, Erzincan merkez, Erzincan, Doğu Anadolu Bölgesi, 24000, Türkiye",39.72750370,39.47127034,edu, 60b6d71256ab6f77ad1f43b9e11b4a5ea2dc3aad,People-flow counting in complex environments by combining depth and color information,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, 607d8de7abdc85a75473493e37a001c6b061cabd,Landmark Image Retrieval by Jointing Feature Refinement and Multimodal Classifier Learning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +60c43614331eef0e2a8d8b303f61ee9681294647,Insatiate boosted forest: Towards data exploitation in object detection,Delphi Deutschland GmbH,Delphi Deutschland GmbH,"Delphipl. 1, 42119 Wuppertal, Germany",51.23524380,7.15931320,edu, 608b01c70f0d1166c10c3829c411424d9ef550e7,Facial expression recognition by learning spatiotemporal features with multi-layer independent subspace analysis,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +609cadcb4d7fe32d616f8e778b7fac9dd578bd81,Moving object tracking using Laplacian-DCT based perceptual hash,India,India,India,20.59368400,78.96288000,edu, 608ad1614d8d35d038a3e5f45196c2d43a0988a6,Social Momentum: A Framework for Legible Navigation in Dynamic Multi-Agent Environments,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 60d9189464cba1751c96b509e4a877b7625bcd35,An Adaptable Architecture for Human-Robot Visual Interaction,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, 60821d447e5b8a96dd9294a0514911e1141ff620,Real-time facial expression recognition with illumination-corrected image sequences,"Universidad Politécnica Madrid, Spain","Dep. Inteligencia Artificial, U. Politécnica Madrid, Spain","Calle de los Ciruelos, 28660 Boadilla del Monte, Madrid, Spain",40.40462810,-3.83964120,edu, 6005a30bf103164fe3410185976b6b8b36537aca,"Communication, Networks and Computing",Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, 604a281100784b4d5bc1a6db993d423abc5dc8f0,Face Verification Across Age Progression Using Discriminative Methods,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 601655a17ca199ef674079482c9b37cdf8e094a9,Face filtering — Insights from real-world data,University of St Andrews,University of St Andrews,"University of St Andrews, North Street, Albany Park Student accommodation, Carngour, St Andrews, Fife, Scotland, KY16 9AJ, UK",56.34119840,-2.79309380,edu, +60f980b1f146d659f8f8f0b4755ae2d5df64ca8d,Automatic focus personage identification in multi-lingual news image,Xi'an University of Science and Technology,"Xi'an University of Science and Technology, Xi'an, China","China, Shaanxi Sheng, Xian Shi, Beilin Qu, YanTa IT ShangQuan, 雁塔中路58号",34.23448900,108.96225600,edu, 607aebe7568407421e8ffc7b23a5fda52650ad93,Face alignment via an ensemble of random ferns,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 605f5d08199b3202dd180590aef1a1648c0e309e,Generalized Semi-supervised and Structured Subspace Learning for Cross-Modal Retrieval,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 606dff86a34c67c79d93f1e536487847a5bb7002,Localized support vector machines using Parzen window for incomplete sets of categories,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu, +60e1b0d8682ddb1eaee8f6deacaa7c8dd4c908fa,Kinship verification from face images in discriminative subspaces of color components,Polytechnic University of Hauts-de-France,"IEMN DOAE UMR CNRS 8520 Laboratory, Polytechnic University of Hauts-de-France, Famars, France","59125 Famars, France",50.32503220,3.51398160,edu, 60f592326a1537d63e13a2c3ffa3c03f0c1be6e2,Object Trajectory Proposal via Hierarchical Volume Grouping,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, 605f6817018a572797095b83bec7fae7195b2abc,Principal Gabor filters for face recognition,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 602f772c69e4a1a65de00443c30d51fdd47a80aa,Face recognition based on the feature fusion of 2DLDA and LBP,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +600ef88c6cf44b05e3812d468e34f51cc62529d3,Touchless typing with head movements captured in thermal spectrum,West Pomeranian University of Technology,"West Pomeranian University of Technology, Szczecin, Poland","aleja Piastów 17, 70-310 Szczecin, Poland",53.42453650,14.53551330,edu, 609d81ddf393164581b3e3bf11609a712ac47522,Fuzzy qualitative approach for micro-expression recognition,"Tunku Abdul Rahman University College, Malaysia","Faculty of Engineering, Tunku Abdul Rahman University College, Setapak, Malaysia","Danau Kota, 53100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia",3.20685320,101.71829430,edu, +a5df78ad005a605ed762e64f47ff9af0df595703,Efficient local filter bank with over complete spatiotemporal pooling in action recognition,China,China,China,35.86166000,104.19539700,edu, a5dc51952cdb08a7b34f17f1ba4a68d2f9edcfb4,Using Genetic Algorithms to Improve Matching Performance of Changeable biometrics from Combining PCA and ICA Methods,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, a52a69bf304d49fba6eac6a73c5169834c77042d,Margin Loss: Making Faces More Separable,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, a59ff55217eb07a0343b4c51d658a59d5f6be113,Thermal Camera Based Physiological Monitoring with an Assistive Robot,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu, a53d13b9110cddb2a5f38b9d7ed69d328e3c6db9,Cost-Sensitive Local Binary Feature Learning for Facial Age Estimation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +a57b37549edba625f5955759e259e52eb0af8773,On deep generative models with applications to recognition,University of California at San Diego,"Institute for Neural Computation University of California, San Diego","9500 Gilman Dr, La Jolla, CA 92093, USA",32.88006040,-117.23401350,edu, +a54d63c1a8c4db3c5034b1fdb08526459bb3c0b1,Multi-Gait Recognition Based on Attribute Discovery,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu, +a5ae44070857aa00e54ea80394a04fda412b335c,Scene Text Recognition using part-based TSM and Soft Output Viterbi Algorithm,India,India,India,20.59368400,78.96288000,edu, a55c0810e6c84f8e51953c0d8fd9971696d205f0,Unconstrained face verification assisted by pairwise visual pre-estimation on key facial points,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, +a5a00debc37bc250f35b5990f5edc658518916cd,Expression recognition with appearance-based features of facial landmarks,"Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir","Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir","Gazipaşa Mahallesi, 26555 Tepebaşı/Eskişehir, Turkey",39.81557830,30.53660200,edu, a5c27bf9b27af011b779ea1aff0543ae5334e563,Efficient Kernel Discriminate Spectral Regression for 3D face recognition,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, a5f200d52b588030c76dcc38c504f65d772a1f5e,Makeup-invariant face recognition by combination of Local Binary Pattern and Dual-Tree Complex Wavelet Transform from women's images,Semnan University,Semnan University,"دانشگاه سمنان, بزرگراه امام رضا, شهرک مسکن مهر مصلی, ناسار, سمنان, بخش مرکزی, شهرستان سمنان, استان سمنان, ‏ایران‎",35.60374440,53.43445877,edu, a575009c1c25e27cdba8cc2c6930759a5416f37d,Accuracy of personal identification based on joint motions extracted from 2D positions of a reduced set of joints,Meiji University,Meiji University,"明治大学, 錦華坂, 猿楽町1, 猿楽町, 東京, 千代田区, 東京都, 関東地方, 101-0051, 日本",35.69750290,139.76139175,edu, @@ -2666,9 +3796,15 @@ a5ec50c3f268ec68d49acd31e850cb69b65c5a5a,${\rm C}^{4}$: A Real-Time Object Detec a5a01adb6e50ad22e650824e0def422e03e3e577,Multi-view facial expression recognition using local appearance features,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, a5a4398bb75e6c483ae7d32f22adc2b6e843b92c,Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu, 83b54b8c97dc14e302dad191327407ec0d5fb4a6,Temporal action localization with two-stream segment-based RNN,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +8332aee6713d77aad7224e81a2ce8bc31737ee64,Probabilistic error model for a lane marking based vehicle localization coupled to open source maps,"Université Paris-Sud, 91405, Orsay, FRANCE","Université Paris-Sud, 91405, Orsay, FRANCE","15 Rue Georges Clemenceau, 91400 Orsay, France",48.69768470,2.17648390,edu, 83b79e4a0be3db276b12ea7164cded4b755cb215,Fusion of face and iris biometrics using local and global feature extraction methods,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, +831a87c47f9f46eb9734b9ca0ad076e666d76e88,Geometric Correspondence Network for Camera Motion Estimation,"Centre for Autonomous Systems at KTH Royal Institute of Technology, Stockholm, Sweden","Centre for Autonomous Systems at KTH Royal Institute of Technology, Stockholm, Sweden","Brinellvägen 8, 114 28 Stockholm, Sweden",59.34980650,18.07066460,edu, +83e5d6b25f33bd06784b7aff437f39f45dbc7d87,Empowering Low-Latency Applications Through a Serverless Edge Computing Architecture,"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy","Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy","5 Politecnico di Milano, Via Giuseppe Ponzio, 34, 20133 Milano MI, Italy",45.47866980,9.23242090,edu, +83272537fc29345d32f68a8ab37e4170df10d3bb,Automatic clothes segmentation for soft biometrics,"SIANI - Universidad de Las Palmas de Gran Canaria, Spain","SIANI - Universidad de Las Palmas de Gran Canaria, Spain","35017 Las Palmas de Gran Canaria, Las Palmas, Spain",28.08044910,-15.45259340,edu, +83bad2dd911128071c72ed4e27e75921b56a2d1f,Joint Boosting Feature Selection for Robust Face Recognition,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 8329a7990f72caea211537443b618e6167893b4d,Target detection on high-resolution SAR image using Part-based CFAR Model,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 83518f2075996b980d412cf64d833ae58cc8c0e4,Online multiple object tracking via flow and convolutional features,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, +83fd51e4938ce22671152e8c63867d07d0c41686,Emotional Recognition System by Facial Land Marking Analysis,India,India,India,20.59368400,78.96288000,edu, 83dc0675cf5ff9f9a4e07e4e20a6bd9642985949,Recognition of blurred faces using Local Phase Quantization,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 8383faea09b4b4bef8117a1da897495ebd68691b,Good Practices for Learning to Recognize Actions Using FV and VLAD,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 8379f3cea577e393156c75f4c06560ba2472da94,Detection and localization with multi-scale models,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, @@ -2678,15 +3814,23 @@ a5a4398bb75e6c483ae7d32f22adc2b6e843b92c,Trip2Vec: a deep embedding approach for 83af9d8242c5779c97d02a0a0351991e9bec89b2,Approaching real-world navigation using object recognition network,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 943c372336ced4b28e15e02fe8db1f4b23bf6835,Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 947cdeb52f694fb1c87fc16836f8877cd83dc652,High-performance and lightweight real-time deep face emotion recognition,Maastricht University,Maastricht University,"UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland",50.83367120,5.71589000,edu, +94798668ce20e71aed77430a8aae08c760e71b53,Pose invariant face recognition based on hybrid-global linear regression,India,India,India,20.59368400,78.96288000,edu, 94c2f28d51193077cd1dd391962a04f254033215,HTM Spatial Pooler With Memristor Crossbar Circuits for Sparse Biometric Recognition,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +942fd0b406fe1d24b50d745cd31fd31220c78f0c,Discriminative graph regularized broad learning system for image recognition,Dalian Maritime University,"Dalian Maritime University, Dalian, China","1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China",38.87004100,121.53414100,edu, 94f9e361fe06c567a29ccce81273bb85d66e342e,A two-stage detector for hand detection in ego-centric videos,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +9492e93d4ceba8b4d95efbe38f844efd34a95222,Locality-Constrained Double Low-Rank Representation for Effective Face Hallucination,China,China,China,35.86166000,104.19539700,edu, 944e0d37937f799b70a206628d22ceca52feed3b,Multimodal Biometrics of Lip Movements and Voice using Kernel Fisher Discriminant Analysis,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, +94bc017ea8795c774c9dd572ee44673a51dc631f,Appearance and structural motion context for multi-target tracking in aerial video,China,China,China,35.86166000,104.19539700,edu, +945cde41f10215678f6d94ef196aa7fd5ec3cdac,Facial image processing in conjunction with password for intelligent access control,India,India,India,20.59368400,78.96288000,edu, +94e378a1ee5fc205272c3fcfb46ca04a1a9916c4,Extremely Overlapping Vehicle Counting,University of Alcalá,"GRAM, University of Alcalá, Alcalá de Henares, Spain","Plaza de San Diego, s/n, 28801 Alcalá de Henares, Madrid, Spain",40.48247220,-3.36286740,edu, 9408e93f12fa536854a71e2875030a7b2f67341f,Automatic speechreading with application to speaker verification,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 947ee3452e4f3d657b16325c6b959f8b8768efad,Deep multi-view robust representation learning,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 940c42892bc5b012be2b2ac7421ccb15005781e6,Simple and effective visual question answering in a single modality,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +94473e8aeb99b1b374975cfbca014c948c7afd95,Face recognition using Shearlets,"Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India","Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India","Savalanga Road, Navule, Shivamogga, Karnataka 577204, India",13.96635630,75.57897630,edu, 94da2688a327411c90ba1a14b34e0ca2aa383002,Toward Real-Time Pedestrian Detection Based on a Deformable Template Model,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu, 940e5c45511b63f609568dce2ad61437c5e39683,Fiducial Facial Point Extraction Using a Novel Projective Invariant,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 9446d1f95d5621ad1e5f3e4d4e9379f8f6ded21f,Fusing multi-feature representation and PSO-Adaboost based feature selection for reliable frontal face detection,Communication University of China,Communication University of China,"中国传媒大学, 朝阳路, 定福庄, 朝阳区 / Chaoyang, 北京市, 100024, 中国",39.91199955,116.55189141,edu, +feb0bd4ad219dc5005da84561b97ae53f4207440,Facial expression recognition based on ISOMAP,China,China,China,35.86166000,104.19539700,edu, fe5d6c65e51386f4d36f7434fe6fcd9494fe9361,Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, fed90d84dc199d7bd996caddd1cab26ded89de98,Deep learning the dynamic appearance and shape of facial action units,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, fe14d8177cbdb7e5b4085302e6e044f7a4c19cb2,Gradient feature matching for expression invariant face recognition using single reference image,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu, @@ -2699,24 +3843,45 @@ feb303611836c0b0a7f633e5a00c3667c9860d2f,Cross-layer optimization for many-to-on fef5ae23381369852a59578afa5d80414de68b83,Improved Object Detection With Iterative Localization Refinement in Convolutional Neural Networks,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, fe7ab34e71d110d836a30ffb287306a02af5f189,Mesh motion scale invariant feature and collaborative learning for visual recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, fe7ae13bf5fc80cf0837bacbe44905bd8749f03f,Deep Coupled Metric Learning for Cross-Modal Matching,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +fe2d4ec5f7cbb0a96c5dc63003fba0811f1ff769,Emotional context during encoding modulates recognition electrophysiological activity,"Laboratorio de NeuroCognición, Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, Mexico","Laboratorio de NeuroCognición, Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, Mexico","Mexico City, CDMX, Mexico",19.43260770,-99.13320800,edu, +fe09c8822a859d291eb2e452f1676823fd7182e8,Disguised face detection and recognition under the complex background,China,China,China,35.86166000,104.19539700,edu, febdce13fdc9d3fd9381602916fbbc395d4ad2ab,Recognition of low-resolution face images using sparse coding of local features,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, fe055de0e633d637ef80cf569f0b36d5ec8bc543,Embedded real-time localization of UAV based on an hybrid device,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, +fed3ed2d361411d324c664daa127be5edc6a1c8b,DIAST variability illuminated thermal and visible ear images datasets,"Universiti Teknologi MARA Perak, Tapah, Malaysia","Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak, Tapah, Malaysia","35400 Tapah Road, Perak, Malaysia",4.17755340,101.21948420,edu, fe86ef81dcd6cdfe3a67437b53ab480557b04a71,Towards Effective Image Classification Using Class-Specific Codebooks and Distinctive Local Features,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, +fe593f4e59a5b0663fd10aa359c09ff385b5405c,Hierarchical ensemble of Gabor Fisher classifier for face recognition,"Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China","Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China","92 Xidazhi St, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150006",45.74704360,126.63343060,edu, +fea7c360842121780ec29f4cf0f65eeecd707336,A Study on Low Resolution Androgenic Hair Patterns for Criminal and Victim Identification,China,China,China,35.86166000,104.19539700,edu, 09016bb7db067f4cc80d243892de4149a86ab42b,Ensemble Subspace Segmentation Under Blockwise Constraints,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +0991634b6b7f5b5d7045fe859c24ccb46152251e,Real-time Video Summarization on Commodity Hardware,University of Ontario Institute of Technology,"University of Ontario Institute of Technology, Simcoe St N, Canada","2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada",43.94587180,-78.89673750,edu, 09c586624ec65d7ef2d4d8d321e98f61698dcfe2,Talking pictures: Temporal grouping and dialog-supervised person recognition,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +095251493ac774df0a737bb8023cffd036edccd0,Person Re-identification using prototype formation,India,India,India,20.59368400,78.96288000,edu, 0974677f59e78649a40f0a1d85735410d21b906a,A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +09aaabb99e0cfa932342b72cb4fcdbb2ce3aada8,People detection based on appearance and motion models,Carnegie Mellon University (USA),Carnegie Mellon University (USA),"5000 Forbes Ave, Pittsburgh, PA 15213, USA",40.44280810,-79.94301280,edu, +09701199771e344b12dbfc799e0f82456764757f,Manifold inconsistency constrained sparse coding for image super-resolution reconstruction,China,China,China,35.86166000,104.19539700,edu, +09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3,Face Recognition Based on Densely Connected Convolutional Networks,China,China,China,35.86166000,104.19539700,edu, 090dd649d9873282cfb7918fc12d11cb673dc15e,Person Reidentification Based on Elastic Projections,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 09fc8a48b2a9746005b33743fca9bc8b17c724f5,An approach for automated multimodal analysis of infants' pain,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, +09c19512612df09b1e69c62d813f6050321bdee3,Human parsing by weak structural label,China,China,China,35.86166000,104.19539700,edu, +09903df21a38e069273b80e94c8c29324963a832,Human action and event recognition using a novel descriptor based on improved dense trajectories,India,India,India,20.59368400,78.96288000,edu, 099053f2cbfa06c0141371b9f34e26970e316426,Effective recognition of facial micro-expressions with video motion magnification,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, +09c34a4829eb5d37f763e06e5f044396d518dc2d,Precise eye localization using HOG descriptors,"I-TEAM, Universidad Politécnica de Valencia, Valencia, Spain","I-TEAM, Universidad Politécnica de Valencia, Valencia, Spain","Camí de Vera, s/n Edificio 8G, Planta 4ª, 46022 València, Spain",39.47844400,-0.33375450,edu, +09032b7d57484ae98111f461673b860b1fbe3314,Characterizing the Safety of Self-Driving Vehicles: A Fault Containment Protocol for Functionality Involving Vehicle Detection,Kettering University,"Mechanical Engineering, Kettering University, Flint, Michigan, U.S.A.","1700 University Ave, Flint, MI 48504, USA",43.01154680,-83.71385310,edu, +09771c0f9eeba235555337034f4aa7a42c8833fd,Pedestrian recognition using a dynamic modality fusion approach,"Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes, EA 4108, Institut National des Sciences Appliquées, Rouen, France","Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes, EA 4108, Institut National des Sciences Appliquées, Rouen, France","Rouen, France",49.44323200,1.09997100,edu, 0994b8a23880be0b28c0c4b214b6d4ae91d1182f,Bi-directional superpixel earth mover's distance for training free person re-identification,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +09e7578833f13a1f91d7a95b71a159af4e38a305,Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition,China,China,China,35.86166000,104.19539700,edu, 098f2320b3cb65ba000201261a813cef96d84842,Fishervioce: A discriminant subspace framework for speaker recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 09ef5cd40bc9dcdbdd2d3587b0efe25551d25618,Scene Learning for Cloud Detection on Remote-Sensing Images,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 322b7a4ce006e4d14748dd064e80ffba573ebcd7,Pose-robust face recognition based on texture mapping,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 3266fbaaa317a796d0934b9a3f3bb7c64992ac7d,Rotational Linear Discriminant Analysis Technique for Dimensionality Reduction,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, +32a571a3ac490f50f8402e0a4cf771ba6093a137,A pedestrian detection system with weak classifiers,"Multimedya Sinyal Analiz Laboratuarı, Elektronik ve Haberleşme Müh. Bl., Yıldız Teknik Üniversitesi, İstanbul, Türkiye","Multimedya Sinyal Analiz Laboratuarı, Elektronik ve Haberleşme Müh. Bl., Yıldız Teknik Üniversitesi, İstanbul, Türkiye","Davut Paşa Mahallesi, Davutpaşa Cd., 34220 Esenler/İstanbul, Turkey",41.02858820,28.88994020,edu, +326ccae22d5d28812adef8c88dcfb1cddc2bb4e3,A Bezier Curve Cohort Selection Strategy for Face Pair Matching,India,India,India,20.59368400,78.96288000,edu, 32df0196c3135c7732c31561b50c343551fbcfe4,Occlusion detection for ICAO compliant facial photographs,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 32c5c65db2af9691f8bb749c953c978959329f8f,Recovering intrinsic images from image sequences using total variation models,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, +32da018fcd090bbc50d2a6dfe24f5b2bf0b6694f,Real-Time Pedestrian Detection for Autonomous Driving,China,China,China,35.86166000,104.19539700,edu, 326613b5528b7806d6a06f43211800b54f34965e,Facial expression recognition using encoded dynamic features,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 3288e16c62a215254e2ed7c39675482b356c3bef,Facial expression recognition system based on a face statistical model and Support Vector Machines,Politehnica University of Timisoara,Politehnica University of Timisoara,"UPT, Bulevardul Vasile Pârvan, Elisabetin, Timișoara, Timiș, 300223, România",45.74618900,21.22755075,edu, +321db1059032b828b223ca30f3304257f0c41e4c,Comparative evaluation of age classification from facial images,India,India,India,20.59368400,78.96288000,edu, +3255f6cbc14fdf8f499dfdb543f899b240708c07,Logarithmic dyadic wavelet transform based face recognition,India,India,India,20.59368400,78.96288000,edu, 32b76220ed3a76310e3be72dab4e7d2db34aa490,Class specific subspace learning for collaborative representation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3229a96ffe8d305800b311cbdc2a5710e8f442f4,Recovering free space of indoor scenes from a single image,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 32bc1e672bcb0144bea18bb7b74bd92d40211ffd,Inverse Sparse Group Lasso Model for Robust Object Tracking,University of North Texas,University of North Texas,"University of North Texas, West Highland Street, Denton, Denton County, Texas, 76201, USA",33.20988790,-97.15147488,edu, @@ -2728,15 +3893,25 @@ fe86ef81dcd6cdfe3a67437b53ab480557b04a71,Towards Effective Image Classification 32cda87d7e0c3ecd9cc6280c797b5c456cd79abd,Weakly supervised human body detection under arbitrary poses,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 32a8c1bf38f3057fdb808d27d5c1a82a168fc100,"PD2T: Person-Specific Detection, Deformable Tracking",Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, a3f2c15f87a9cae87b449052b05892eed3282ff3,Sensing Arousal and Focal Attention During Visual Interaction,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, +a315e5dda09b03a5dde929f00a3996d5a53bf695,Learning temporal features with CNNs for monocular visual ego motion estimation,"FZI Research Center for Information Technology, 76131 Karlsruhe, Germany","FZI Research Center for Information Technology, 76131 Karlsruhe, Germany","Haid-und-Neu-Straße 10-14, 76131 Karlsruhe, Germany",49.01186900,8.42552660,edu, a3ed0f15824802359e05d9777cacd5488dfa7dba,A Wearable Social Interaction Aid for Children with Autism,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +a3dd5a595039dcc13d1a98930b7a68ee4307c991,Fairness-oriented OS Scheduling Support for Multicore Systems,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, a3698c7f280c21779e3b117eec43cae7cdf2ca3a,Visual processing-inspired fern-audio features for noise-robust speaker verification,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +a317cd9435900b9d47217f2896d55fc2c49c8b6b,Probabilistic Integration of Intensity and Depth Information for Part-Based Vehicle Detection,INRIA Grenoble,"INRIA Grenoble Rhone-Alpes, FRANCE","INRIA, 655, Avenue de l'Europe, Innovallée Montbonnot, Montbonnot-Saint-Martin, Grenoble, Isère, Auvergne-Rhône-Alpes, France métropolitaine, 38330, France",45.21829860,5.80703193,edu, a35ed55dc330d470be2f610f4822f5152fcac4e1,Tattoo recognition technology - challenge (Tatt-C): an open tattoo database for developing tattoo recognition research,NIST,"National Institute of Standards and Technology (NIST), Gaithersburg, MD","100 Bureau Dr, Gaithersburg, MD 20899, USA",39.14004000,-77.21850600,edu, a3208914f7a611bc0135d711ded3a3afe153df0d,Attribute-aware Semantic Segmentation of Road Scenes for Understanding Pedestrian Orientations,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, a3334cdf92d1157dd691d88189e793d18164cd7b,Precise eye detection on frontal view face image,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, +a30e9fd9444189dd84ea6c03b687888a631be2c9,SWAPUGC: software for adaptive playback of geotagged UGC,"Université Paris-Saclay, Paris","Université Paris-Saclay, Paris","Bat. Discovery RD 128, 91190 Saint-Aubin, France",48.70759380,2.15288980,edu, a3201e955d6607d383332f3a12a7befa08c5a18c,VLAD encoded Deep Convolutional features for unconstrained face verification,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +a369707aaffc571db3c143bd45038054f5a94aa0,Information fusion in face identification,China,China,China,35.86166000,104.19539700,edu, +a3bb0ec5c4380141828b9619ad92c6ecd42a09be,An automated vision-based method to detect elephants for mitigation of human-elephant conflicts,India,India,India,20.59368400,78.96288000,edu, +a35f0515a98a4f37a14a4954240ba09a91017730,Discriminative face recognition via kernel sparse representation,China,China,China,35.86166000,104.19539700,edu, e1c50cf0c08d70ff90cf515894b2b360b2bc788b,Facial behavior as behavior biometric? an empirical study,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +e1ca483bf02befe4a15f6a4b7d8a3d7f39cd1d05,Zero-shot Image Categorization by Image Correlation Exploration,China,China,China,35.86166000,104.19539700,edu, +e1febe25c3f678878c97bec28036c797bc5e6d0d,Cooperative multi-scale Convolutional Neural Networks for person detection,Ilmenau University of Technology,"Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany","Ilmenau, Germany",50.68435020,10.92547280,edu, e1179a5746b4bf12e1c8a033192326bf7f670a4d,Facial makeup detection technique based on texture and shape analysis,Télécom ParisTech,"Institut Mines-Telecom, Telecom ParisTech, CNRS LTCI, Sophia Antipolis, France","Business Pôle. 1047 route des Dolines. Allée Pierre Ziller, 06560 Sophia Antipolis, France",43.62716550,7.04109170,edu, e1a3c4f31e73bedc457b7a7fde7f5ac0c2647f83,MFR-CNN: Incorporating Multi-Scale Features and Global Information for Traffic Object Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +e1557f6e129f56e6ee24d060becb895e1762283f,DOST: a distributed object segmentation tool,"Dipartimento di Informatica, Università Degli Studi di Torino, Turin, Italy","Dipartimento di Informatica, Università Degli Studi di Torino, Turin, Italy","Via Pessinetto, 12, 10149 Torino TO, Italy",45.09009410,7.65917860,edu, e1aa78cc4df90564da1dcdfd63e04c3cfd0e84e0,Training Person-Specific Gaze Estimators from User Interactions with Multiple Devices,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, e103a8992a9eab5c2a5e8072a0cff7f5b68959a2,Robust person head detection based on multi-scale representation fusion of deep convolution neural network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e1250228bf1525d5def11a410bdf03441251dff6,Moving object surveillance using object proposals and background prior prediction,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, @@ -2745,52 +3920,83 @@ e1449be4951ba7519945cd1ad50656c3516113da,Local Gradient Hexa Pattern: A Descript e101bab97bce2733222db9cfbb92a82779966508,A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, e1f03d7a1081d7f0a91535888909f8eb9709df1e,Multimodal biometrics fusion using Correlation Filter Bank,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, e108d0bfe686438e4c5ae4cb9b8ddc476deba9e3,Joint Inference of Objects and Scenes With Efficient Learning of Text-Object-Scene Relations,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, +e15eedb39dac379e217110002a6576f7bb213aaa,3-Layer specific pedestrian continuous tracking framework,China,China,China,35.86166000,104.19539700,edu, +e118c399cf7787c4c7e9d8602d5f63dde722526a,Cellular-based vehicle to pedestrian (V2P) adaptive communication for collision avoidance,Finland,Finland,Finland,61.92411000,25.74815110,edu, +e1d1540a718bb7a933e21339f1a2d90660af7353,Discriminative Probabilistic Latent Semantic Analysis with Application to Single Sample Face Recognition,China,China,China,35.86166000,104.19539700,edu, e14b046a564604508ea8e3369e7e9f612e148511,Facial Expression Recognition on Hexagonal Structure Using LBP-Based Histogram Variances,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, e198e10fc6b01e37b435f91559be67ba0e9bf40b,Extended LBP based Facial Expression Recognition System for Adaptive AI Agent Behaviour,Teesside University,Teesside University,"Teesside University, Southfield Road, Southfield, Linthorpe, Middlesbrough, North East England, England, TS1 3BZ, UK",54.57036950,-1.23509662,edu, 96900166eb8dd80fe1c99cb7230d29e478fa2d62,Social anhedonia and medial prefrontal response to mutual liking in late adolescents,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 96d3280d7af05eb1968aed07cd50c305952cf83b,Linear Discriminant Analysis Based on L1-Norm Maximization,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, 9648c8276d837fdf181bc43367bc28a65135ff14,Fusion of Gabor Feature Based Classifiers for Face Verification,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 9632509db75feefc1a6945639946122126ce5f64,Detection of mood disorder using modulation spectrum of facial action unit profiles,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +966a09ac570b043aebb7bd92fa116e8f40f50642,Cross-Modal Style Transfer,"CVIT, KCIS, IIIT Hyderabad, India","CVIT, KCIS, IIIT Hyderabad, India","IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India",17.44509810,78.34976780,edu, 96ec76d2579a3b877019e715da58d8c47d343399,RTCRelief-F: an effective clustering and ordering-based ensemble pruning algorithm for facial expression recognition,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 96b6f8ac898c8ef6b947c50bb66fe6b1e6f2fb11,Simultaneous classification of several features of a person’s appearance using a deep convolutional neural network,Moscow State University,Moscow State University,"ul. Leninskiye Gory, 1, Moskva, Russia, 119991",55.70393490,37.52866960,edu, +96fda9a7396a4d61d91e927ce885d4a32d6f7f01,Face Recognition Via Weighted Two Phase Test Sample Sparse Representation,China,China,China,35.86166000,104.19539700,edu, +96040876d7c74fef89733e509a34f9c244a88c35,Human action recognition using a semantic-probabilistic network,University of Applied Sciences Berlin (HTW),"University of Applied Sciences Berlin (HTW), Berlin, Germany","Treskowallee 8, 10318 Berlin, Germany",52.49320090,13.52549330,edu, +961a6136409d9f322044b585fd9072267feef927,An IFS based approach for face recognition,"Università degli studi di Salerno, Italy","Dipt. di Matematica ed Inf., Univ. degli studi di Salerno, Italy","Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy",40.76871180,14.79201790,edu, 96b1f2bde46fe4f6cc637398a6a71e8454291a6e,Structured Max-Margin Learning for Inter-Related Classifier Training and Multilabel Image Annotation,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu, +965bf5726891428a2af6922ead4779c0a1331392,Image categorization using a semantic hierarchy model with sparse set of salient regions,China,China,China,35.86166000,104.19539700,edu, +96d3969dba2d1000f97de0b7cca50ea721d1f79d,Continuous Vehicle Detection and Tracking for Non-overlapping Multi-camera Surveillance System,China,China,China,35.86166000,104.19539700,edu, 96d98463ba845651907b0b03f613b91c97d3465a,A robust and fast 3D face reconstruction method using realsense camera,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 96d34c1a749e74af0050004162d9dc5132098a79,High-speed face recognition based on discrete cosine transform and RBF neural networks,"Nanyang Technological University, Singapore","Comput. Control Lab, Nanyang Technol. Univ., Singapore","50 Nanyang Avenue, Block N4 #02a-32, Singapore 639798",1.34619520,103.68154990,edu, +96ece788e0db984a27a11a9a10b6430f6f7299c5,Stereo-based pedestrian detection using the dynamic ground plane estimation method,"Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea","Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea","South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, 96e030c3841352604108c1a703d972917a7df159,Discriminant NMFfaces for Frontal Face Verification,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +965f3a60a762712c3fc040724e507d00357f8709,Performance analysis of face recognition by combining multiscale techniques and homomorphic filter using fuzzy K Nearest Neighbour classifier,India,India,India,20.59368400,78.96288000,edu, 965f7202890cc64594ebeaaeb7dcd5420709c55f,Traffic Scene Segmentation Based on RGB-D Image and Deep Learning,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 96c12de46cff51ee368a3b4f5c8ba1784c628197,Topometric localization on a road network,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 966f2106b12d2425185add5666816abf8c834e64,Localization of region of interest in surveillance scene,Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu, 9635493998ad60764d7bbf883351af57a668d159,Cross-validated smooth multi-instance learning,"Beijing E-Hualu Info Technology Co., Ltd, Beijing, China","Beijing E-Hualu Info Technology Co., Ltd, Beijing, China","165 Fushi Rd, Shijingshan Qu, Beijing Shi, China, 100144",39.92532100,116.19579500,company, 96ab0367d0112b6092cc130c330c8c11c2eb8238,Graph-modified neighborhood preserving embedding based on feature fusion,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 96c10ff56e51a2527239428de369e03df388800d,A Recurrent Neural Network Solution for Predicting Driver Intention at Unsignalized Intersections,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +96c21795747e50f6bce9a116428762d5a796f37c,Joint color and texture descriptor using ring decomposition for robust video copy detection in large databases,"Centre de développement des Technologies Avancées. Cité 20 Aout, Baba Hassen, 16303, Alger, Algérie","Centre de développement des Technologies Avancées. Cité 20 Aout, Baba Hassen, 16303, Alger, Algérie","haouch oukil، Cité 20 aout 1956 Baba Hassen 5 juillet 1962، Alger 16303, Algeria",36.68948700,2.98187700,edu, +962812d28a169b3fc1d4323f8d0fca69a22dac4c,Distance-weighted manifold learning in facial expression recognition,China,China,China,35.86166000,104.19539700,edu, 96e5fe29580c85a07092716131ed3993ef36b81c,Euler Principal Component Analysis,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu, 96fa05f55b048b33818dc89f185a479b9f0d4a0a,A novel approach for face recognition based on stereo image processing algorithm,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, 96416ad7328b57794e17c2f83ecfedea75c84828,Smart buildings and the human-machine cloud,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 96625e9db95ede3c2ec507ada1650c3a7deb2814,Analysis sparse coding models for image-based classification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +969127a099a12bd5bb88809c75cafe0a62f6ca05,An intelligent recommendation system using gaze and emotion detection,India,India,India,20.59368400,78.96288000,edu, 96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9,State-of-the-art face recognition performance using publicly available software and datasets,"Université Paris-Saclay, France","Samovar CNRS UMR 5157, Télécom SudParis, Université Paris-Saclay, Evry, France","3 Rue Michel Ange, 75016 Paris, France",48.84760370,2.26399340,edu, 96c2fbea5a64c71d620f8acde51eb233d83d071d,Single Sample Face Recognition: Discriminant Scaled Space vs Sparse Representation-Based Classification,K.N. Toosi University of Technology,K.N. Toosi University of Technology,"دانشکده مهندسی عمران و نقشه برداری, ولی عصر, کاووسیه, منطقه ۳ شهر تهران, تجریش, بخش رودبارقصران, شهرستان شمیرانات, استان تهران, 1968653111, ‏ایران‎",35.76427925,51.40970276,edu, +af53ce0f3a039c685b754e1f704817e03e182412,Face recognition using LBP for personal image management system and its analysis,"Contents Protection and Management Team, ETRI, Deajeon, KOREA","Contents Protection and Management Team, ETRI, Deajeon, KOREA","1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea",35.22537080,126.84618340,company, af858b8f788c81d40c3c21568d3cd0d058dcc9f7,A Review of Computer Vision Techniques for the Analysis of Urban Traffic,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu, +af6a0bab11a95dfe99b835c724e7901b9bb8aaf6,"Robust Framework of Single-Frame Face Superresolution Across Head Pose, Facial Expression, and Illumination Variations",China,China,China,35.86166000,104.19539700,edu, af9bca1ac3900182afae03f500618fc40da9ff87,A morphable 3D-model of Korean faces,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, afeed4b79eb88138fa342b33d6ab33e26945e19c,A novel feature based rapid eye state detection method,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, afb834494f041e5db01a7ba266c4da1d2edfb593,Face localization using skin colour and maximal entropy based particle swarm optimization for facial recognition,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, affab4332ae8318c6c470f6639f0360392baa469,Occluded shape (2-D) recognition using edge based features,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, af3b803188344971aa89fee861a6a598f30c6f10,Facial expression recognition with FHOG features,"Eskişehir Osmangazi Üniversitesi, Eskişehir, Turkey","Eskişehir Osmangazi Üniversitesi, Bilgisayar Mühendisliği Bölümü, Eskişehir, Türkiye","Büyükdere Mahallesi, Osmangazi Ünv. No:38, 26040 Odunpazarı/Eskişehir, Turkey",39.74887790,30.47581540,edu, +af61bb846d4bd23f1cb24cc5fff6431b1b4a7f6b,Modular approach on kernel principal component analysis for enhanced face recognition,India,India,India,20.59368400,78.96288000,edu, +af657fade7bd78d9916bbf4305bee7170121d8ac,Significance of dictionary for sparse coding based face recognition,India,India,India,20.59368400,78.96288000,edu, +afbaf5e3ccaef3e53ec85e42b97392a0e95d3991,A discriminative approach to frame-by-frame head pose tracking,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, +af13aae576f4d9ecc3de73a9ef8ff4396d057b8c,DVD: Constructing a Discriminative Video Descriptor by Convolving Frame Features,China,China,China,35.86166000,104.19539700,edu, af4745a3c3c7b51dab0fd90d68b53e60225aa4a9,Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-Identification,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, afc560bde09cb47eb2811423b14d14bb6a5d35f6,"Human detection using a combination of face, head and shoulder detectors",Western Sydney University,Western Sydney University,"Western Sydney University, Parramatta City Campus, Smith Street, Parramatta, Sydney, Parramatta, NSW, 2150, Australia",-33.81608480,151.00560034,edu, af7553d833886663550ce83b087a592a04b36419,Dual Subspace Nonnegative Graph Embedding for Identity-Independent Expression Recognition,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, af4e324e4579567fdfb8d3216d5a76e9f94cc915,3D face registration by depth-based template matching and active appearance model,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +af29ad70ab148c83e1faa8b3098396bc1cd87790,Unconstrained face detection: a Deep learning and Machine learning combined approach,India,India,India,20.59368400,78.96288000,edu, +af62dfa3e70a33fcf14a38744e0111ab8e5dfa67,Learning Latent Representations of 3D Human Pose with Deep Neural Networks,University of Bordeaux,"UMR 5800, LaBRI, Talence, France","Domaine universitaire, 351, cours de la Libération, 33405 Talence, France",44.80837500,-0.59670500,edu, af2b0d3a6ffac71b2be2110e493255b72ed93b47,Simultaneous detection and segmentation for generic objects,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, afef2b1d35fb807f422cfec0a370f7d08d4651d1,A robust eye localization method for low quality face images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, afd9802722bde66eda6c04ff608fffaa4e210435,MotionFlow: Visual Abstraction and Aggregation of Sequential Patterns in Human Motion Tracking Data,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, fba88d9030853870d83949bb1baa8f47f1c4c2c2,Face Super Resolution for VLQ facial images via parent patch matching,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, fbdc18d9e6bfcbac30b8bb330c71b6f2be48395e,Online multi-object tracking with convolutional neural networks,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, fbc9ba70e36768efff130c7d970ce52810b044ff,Face-graph matching for classifying groups of people,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +fba6b4b66aa4dc04f96336ca94887a669adf8e49,Model for adaptable context-based biometric authentication for mobile devices,Adam Mickiewicz University,"The Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poznan, Poland","Umultowska 87, 61-614 Poznań, Poland",52.46727200,16.92726000,edu, fb404f93940fc4b7d38895c1e5d157943111454d,On the feasibility of classification-based product package authentication,University of Salzburg,University of Salzburg,"Universität Salzburg - Unipark, 1, Erzabt-Klotz-Straße, Nonntal, Salzburg, 5020, Österreich",47.79475945,13.05417525,edu, fb0bbbc159dad0113f5d01ac736945feeced1247,Appearance and Gait-Based Progressive Person Re-Identification for Surveillance Systems,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +fbbbbc8fe255191b14608c6d877d9330d35273ca,A new feature extraction model based on image gradient,China,China,China,35.86166000,104.19539700,edu, +fb662d021f05236c8ff2bea3be901cd25251487c,"Computer Vision, Graphics, and Image Processing",India,India,India,20.59368400,78.96288000,edu, +fbece7c5584662d1da447b12e9a2be6fe626216e,Template-based people detection using a single downward-viewing fisheye camera,"Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC","Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC","No. 19號, Zhongxing Road, Yangmei District, Taoyuan City, Taiwan 326",24.91884430,121.18410930,edu, +fbd7c6956fd08358b0335241292dcd0af080560c,Scale-adaptive tracking based on perceptual hash and correlation filter,China,China,China,35.86166000,104.19539700,edu, +fb7bf10cbc583db5d5eee945aa633fcb968e01ad,A novel weighted fuzzy LDA for face recognition using the genetic algorithm,China,China,China,35.86166000,104.19539700,edu, fb3aaf18ea07b30d1836e7cf2ab9fa898627fe93,Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images,"Changzhou Textile Garment Institute, Changzhou, China","College of Mechanical and Electrical, Changzhou Textile Garment Institute, Changzhou, China","China, Jiangsu, Changzhou, Wujin, 武宜南路鸣凰镇北庙桥加油站北50米",31.68423300,119.93616400,edu, +fb5f7d581c0d7561e83c6d77c3df6991641cd158,SensiTV: Smart EmotioNal System for Impaired People's TV,University of Applied Sciences of Western Switzerland,"University of Applied Sciences of Western Switzerland, Fribourg, Switzerland","Bd de Pérolles 80, 1705 Fribourg, Switzerland",46.79330680,7.15905560,edu, +fbbb73b476639b89b5a0f400251fe33c4fec4f6d,An adaptive ensemble-based system for face recognition in person re-identification,"Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada","Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada","140 Thad Johnson Private, Ottawa, ON K1V 0R4, Canada",45.32564940,-75.65345940,gov, fb59657a80f578233cb7846bddc96221289521dd,Flickr group recommendation with auxiliary information in heterogeneous information networks,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, fb6ae777034477d58890f811a11c533b6118a05e,Accuracy improvement in human detection using HOG features on train-mounted camera,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, fbc5de479d74d4adc95e111ffec6a417a90bcb4f,Responsivity to familiar versus unfamiliar social reward in children with autism,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, +fbb3e9903fbcf0b8778712c29459255731342cbe,A person re-identification algorithm by using region-based feature selection and feature fusion,China,China,China,35.86166000,104.19539700,edu, fb6ebea810ebddc0c3e598e929369e395e012da5,A Wavelet Domain Implementation of Sparse Representation Method for Face Recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, fb7c85b71a4bc838a1698d72542cc4833fc83784,Semi-supervised learning via nonnegative least squares regression,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, fbbb0c1ac9b26047348fa1acfcc1e4b47fcd94c5,A Noise Robust Face Hallucination Framework Via Cascaded Model of Deep Convolutional Networks and Manifold Learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, @@ -2801,10 +4007,14 @@ fb198416cdd5e1e3d1ae407c1bf7b462de996dbb,Predicting Performance During a Dynamic 98d1b5515b079492c8e7f0f9688df7d42d96da8e,Use of Active Appearance Models for analysis and synthesis of naturally occurring behavior,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 987e12505c837f96db51c844af4416dbba378921,Video surveillance face recognition by more virtual training samples based on 3D modeling,Guangzhou University,Guangzhou University,"广州大学, 大学城中环西路, 广州大学城, 南村镇, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.04436505,113.36668458,edu, 982d4f1dee188f662a4b5616a045d69fc5c21b54,Learning to link human objects in videos and advertisements with clothes retrieval,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +98cb6011e3713239c0e758e0befd94e060fd9064,"A review of feature extraction techniques BTC, DCT, Walsh and PCA with FDM and BDM for face recognition",India,India,India,20.59368400,78.96288000,edu, +985bbe1d47b843fa0b974b4db91be23f218d1ce7,Intelligence Science I,China,China,China,35.86166000,104.19539700,edu, 9831061dd9f3e53057ce98aa1208731119cb7f12,Hard Zero Shot Learning for Gesture Recognition,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 987b49719617981c0f1a6d12134f660675144632,Robust real-time face recognition,University of KwaZulu-Natal,University of KwaZulu-Natal,"238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa",-29.86742190,30.98072720,edu, 98ef8b8e4df2c19bcd56827a5a9cdd7eb88364ac,Field Support Vector Machines,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 98720e3b5b36160a73c09086afc88405f7ed517f,Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier,Soochow University,Soochow University,"苏州大学(天赐庄校区), 清荫路, 钟楼社区, 双塔街道, 姑苏区, 苏州市, 江苏省, 215001, 中国",31.30709510,120.63573987,edu, +98aabc3bffe179cc5b6d8137493029338f470647,Efficient low-rank supported extreme learning machine for robust face recognition,China,China,China,35.86166000,104.19539700,edu, +983c6d9d8aaeca30e6b84e2b2c6e2a514d6df254,An empirical comparison of high definition video and regular video in optical flow computation,Youngstown State University,"Youngstown State University, Youngstown, OH, USA","1 University Plaza, Youngstown, OH 44555, USA",41.10626000,-80.64770000,edu, 9851429995e617d5726b80531525ed80a0fa1e1a,A study on occluded pedestrian detection based on block-based features and ensemble classifier,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 982fcead58be419e4f34df6e806204674a4bc579,Performance improvement of face recognition algorithms using occluded-region detection,"Azbil Corporation, Kawana, Japan","Azbil Corporation 1-12-2, Kawana, Fujisawa-shi, 251-8522, Japan","2 Chome Kawana, Fujisawa, Kanagawa Prefecture 251-0015, Japan",35.33414870,139.49433560,company, 98eb723145da3b29726e272f61eaeec742eae1e4,Secure biometric-key generation with biometric helper,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, @@ -2814,17 +4024,22 @@ e39fc6ff1145924c7987ca07c1f2df80577f0646,Analyzing the quality of matched 3D poi e352288274f62be6abc37c944120bdd4979dc250,Face recognition using decimated redundant discrete wavelet transforms,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e3137bb7d73b4f846ad00800b46cc4118d2e0a34,Multimodal Graph-based Event Detection and Summarization in Social Media Streams,Information Technologies Institute,Information Technologies Institute,"公益財団法人九州先端科学技術研究所, Fukuoka SRP Center Building 7F, 百道ランプ下り入り口, 早良区, 福岡市, 福岡県, 九州地方, 814-0001, 日本",33.59345390,130.35578370,edu, e35517f891736a413b9d8f18cd5109e215115c26,Dual Viewpoint Passenger State Classification Using 3D CNNs,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, +e34cb2d2f9f6ccf63de5a838ce5218e0b817469b,Video Frame Interpolation Using Recurrent Convolutional Layers,China,China,China,35.86166000,104.19539700,edu, e387db84cd31f14e468bb329ac008a80e645400e,Forensic Face Photo-Sketch Recognition Using a Deep Learning-Based Architecture,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, e30b70282854264cb8560da0352d8edbd2792439,Face recognition based on non-corresponding region matching,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e3f717aac41694595ae9105eb5678f82214e1a0a,Automatic segmentation and tracking of thrombus formation within in vitro microscopic video sequences,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, e3d9b54f74b7c8cc8d1cc96fac83cd88b7c3e09e,Beyond local phase quantization: Mid-level blurred image representation using fisher vector,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, e3a70f8ee84af6372b482c0b8b6e8e553dd0e1e5,Measurement and Comparison of Non-verbal Behavior and Cognitive Behavior in Human Resource Management - Application in Sales Recruitment,La Trobe University,La Trobe University,"La Trobe University, Keck Street, Flora Hill, Bendigo, City of Greater Bendigo, Loddon Mallee, Victoria, 3550, Australia",-36.77847540,144.29804700,edu, e3c741a093847839d37817c16506cd7137a5579b,Facial landmark localization via boosted and adaptive filters,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +e3df67537b365574c0036108fa853cda23778d7c,Human violence recognition and detection in surveillance videos,"INRIA Sophia Antipolis, STARS team, 2004 Route des Lucioles, BP93, 06902, France","INRIA Sophia Antipolis, STARS team, 2004 Route des Lucioles, BP93, 06902, France","2004 Route des Lucioles, 06902 Valbonne, France",43.61581310,7.06838000,edu, e30bbeb927ccb1798e8a5372ad2c2a5f33d132b6,Exploring Fine-Grained Heterogeneity with Composite Cores,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, e322591ea32a5fd9fa7a874ce0d49e1174aa3912,ECA and 2DECA: Entropy contribution based methods for face recognition inspired by KECA,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, +e3471f481c6b61489d8d48eb4668286f7db890da,Human body part classification from optical flow,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, b7a0c70a320c1ac3e92f4bf0b50a7d8ceb757c41,Understanding how deep neural networks learn face expressions,University of Pernambuco,"University of Pernambuco, Recife-PE, Brazil","Av. Gov. Agamenon Magalhães - Santo Amaro, Recife - PE, 50100-010, Brazil",-8.04406030,-34.88611670,edu, b7216839f399a8ad47636f952dfa28ab34aab5b8,Facial memorability prediction fusing geometric and texture features,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +b7c2027a8ab6623a33d103ab4919ad3033badbc3,Pedestrian detection from still images,Yildiz Technical University,"Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey","Yıldız Mh., 34349 Beşiktaş/İstanbul, Turkey",41.05208610,29.01065530,edu, b7d7e0d985e1a421fa4b6ed2a432d6375d003d94,Classifier Discriminant Analysis for Face Verification based on FAR-score normalization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +b79873ccb1c03375f58f577c98d5bd7a371da4e9,A new hybrid method for face recognition,Nirma University,"Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India","Sarkhej-Gandhinagar Highway, Gota, Ahmedabad, Gujarat 382481, India",23.12838620,72.54485080,edu, b759936982d6fb25c55c98955f6955582bdaeb27,Efficient object feature selection for action recognition,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, b7c6df1ae0e8348feecd65e9ad574d1e04d212a5,Soft video parsing by label distribution learning,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, b717c61f6a1d7c65f4505b4aa1d199e851676c60,A novel geometric facial representation based on multi-scale extended local binary patterns,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, @@ -2835,15 +4050,21 @@ b7850320d321b0e26bfbdf276b2c42ea14b10cc7,A face portion based recognition system b749ca71c60904d7dad6fc8fa142bf81f6e56a62,Band-Reweighed Gabor Kernel Embedding for Face Image Representation and Recognition,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, b712f08f819b925ff7587b6c09a8855bc295d795,Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization,"Amazon Research, Cambridge","Amazon.com Cambridge, MA, USA","101 Main St, Cambridge, MA 02142, USA",42.36229600,-71.08100960,company, b7128e0fe18dcb42e8a2ac5cf6794f64a8e37bd0,Automatic facial expression recognition based on a deep convolutional-neural-network structure,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu, +b74aacefedefa3f4338e1c5999dbe756ea2ff837,A face recognition algorithm based on LLE-SIFT feature descriptors,Jiangxi Normal University,"Jiangxi Normal University, Nanchang, China","Nanchang, China",28.67850000,116.03121200,edu, +b7b732df067a146b6254dfda404b124c1bff43b9,Facial Expression Recognition using Bandlet Transform and Centre Symmetric – Local Binary Pattern,India,India,India,20.59368400,78.96288000,edu, b7b8e7813fbc12849f2daba5cab604abd8cbaab6,Face recognition using affine dense SURF-like descriptors,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, b7bbfb829b69efac8efc2c4cc67b08c565d10e5e,Classification based person identification in group living environment,Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu, b704eaa339d55ef7eac56d0117a8e127fc597686,Securing multimodal biometric data through watermarking and steganography,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, b74a3ede83e10544640e5f58707f567e00281f54,Robust face recognition via automatic grouping sparse representation,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +b7a3ff5153b340e639dd14eb6933e307199afe08,Face recognition of technology experts for e-government based on web mining,"Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China","Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China","1 Meicheng Rd, Qingpu Qu, Huaian Shi, Jiangsu Sheng, China, 223002",33.54910060,119.03570600,edu, b76ed28a9b8a8b9061e443c85e39de8ef0d63605,Domain adaptation for cross-dataset person re-identification,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, b7461aac36fc0b8a24ecadf6c5b5caf54f2aa2f7,Two-stage cascade model for unconstrained face detection,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu, b7845e0b0ce17cde7db37d5524ef2a61dee3e540,Fusion of classifier predictions for audio-visual emotion recognition,University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu, +0afde5f49ea236fe5e79f3ec9a7e7e2f9a306b06,Sparse Multigraph Embedding for Multimodal Feature Representation,China,China,China,35.86166000,104.19539700,edu, 0aaf785d7f21d2b5ad582b456896495d30b0a4e2,A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +0aa9b44756774085683d96ee98be2fe512361a94,Visual Odometry based on improved feature matching and Unscented Kalman Filter,China,China,China,35.86166000,104.19539700,edu, 0ae7dbe27a2761412b1aa1a65563b44d5148eccc,Block DCT Vectors Construction for Face Retrieval Based on Genetic Algorithm,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +0a297523188b03fdf9d2155bfdcca7e1bcab3762,Hartley transform based correlation filters for face recognition,India,India,India,20.59368400,78.96288000,edu, 0a23d374c6cf71a65e845569230420362fe4903a,A discriminative parts based model approach for fiducial points free and shape constrained head pose normalisation in the wild,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, 0aa5e9d2ff47585dbad5711482a388028899454e,An enhanced Mean-Shift and LBP-based face tracking method,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, 0a451fc7d2c6b3509d213c210ae880645edf90ed,Semi-supervised local-learning-based feature selection,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu, @@ -2853,41 +4074,58 @@ b7845e0b0ce17cde7db37d5524ef2a61dee3e540,Fusion of classifier predictions for au 0a2c9e1dab6e32bff5fa3fa4a1de10547f818d2d,Multi-facet Learning using Deep Convolutional Neural Network for Person-Related Categories in Photos,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, 0a5d0fece90774c6be8416bc58e125087e82fb82,Precise Eye Localization with AdaBoost and Fast Radial Symmetry,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 0abd1a332717f540f1e3297a9eedd9633ad9c3a9,From UI Design Image to GUI Skeleton: A Neural Machine Translator to Bootstrap Mobile GUI Implementation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +0a4dfef84834d6e2bb0d2a9d1a5f5be40e7b8530,A benchmark for automated peak picking of protein NMR spectra,"Institute of Molecular Biology and Biophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland","Institute of Molecular Biology and Biophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland","HPK, Otto-Stern-Weg 5, 8093 Zürich, Switzerland",47.40919800,8.51091750,edu, 0a0813a013ef75ec70d0394bb8795f4d37cd6ff1,"Rotation-free online handwritten character recognition using dyadic path signature features, hanging normalization, and deep neural network",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 0a00b08c51d922d1b30753e3e756867121c7aa02,Moving camera human activity localization and recognition with motionplanes and multiple homographies,Information Technologies Institute,Information Technologies Institute,"公益財団法人九州先端科学技術研究所, Fukuoka SRP Center Building 7F, 百道ランプ下り入り口, 早良区, 福岡市, 福岡県, 九州地方, 814-0001, 日本",33.59345390,130.35578370,edu, +0a29cee986471b495728b08756f135a2377d5a2a,"Robust principal component analysis via joint ℓ2,1-norms minimization",China,China,China,35.86166000,104.19539700,edu, +0abd596e15ed9a814037089bc53e124e262f7464,Emotion Recognition using Multimodal Features,China,China,China,35.86166000,104.19539700,edu, +0a0007cfd40ae9694c84f109aea11ec4f2b6cf39,Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition,China,China,China,35.86166000,104.19539700,edu, 0afc4ce1ec16ef0a9ebb255004348720e0fe8c64,Real-Time Lexicon-Free Scene Text Localization and Recognition,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, +0ab65b963f8b71e31bfec188056023147f75303e,SPNet: Superpixel Pyramid Network for Scene Parsing,Beijing University of Technologyy,"Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China","Chaoyang, China, 100124",39.87161100,116.47952900,edu, +0a15b8c7d529c7facc2d3b4c2111801dd4adfc28,A new face descriptor using local un-quantized patterns,India,India,India,20.59368400,78.96288000,edu, 0a0ce9a865cbfaab0b0121e6db95f95ca13640ed,Feature Selection for Multimedia Analysis by Sharing Information Among Multiple Tasks,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 0ae6b023b599a17cf32b83606a9565c3ad539ecf,3-D Face Recognition Under Occlusion Using Masked Projection,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 61f56afc7713ebfacfe382d1824966cb9b967d34,An Ensemble of Invariant Features for Person Reidentification,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 61060bea27a3410260988540b627ccc5ba131822,Adversarial Cross-Modal Retrieval,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +6144af24ce06af7d8cdd606e79cea5d6e73e2135,3D face landmark auto detection,"Université Of Bourgogne, France","Université Of Bourgogne, France","Maison de l'université, Espl. Erasme, 21078 Dijon, France",47.31290700,5.06606800,edu, 61b22b1016bf13aca8d2e57c4e5e004d423f4865,Sliced Inverse Regression With Adaptive Spectral Sparsity for Dimension Reduction,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 610a01b2997c1705213d42b796607a31a63a8e6c,Pedestrian detection system for smart communities using deep Convolutional Neural Networks,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 617294408da21693521adb2686209b04311703c6,3D object recognition from range images using pyramid matching,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +6121dafcacdba9aa3cafb0c2d4eb40544be88c3d,A novel scheme for 3D face recognition based on partial differential equations,China,China,China,35.86166000,104.19539700,edu, +61e84707f98e4e46e60cda61be9f2defac7d6843,STARS: A new ensemble partitioning approach,"Computer Aided Medical Procedures, Technische Universität München, Germany","Computer Aided Medical Procedures, Technische Universität München, Germany","Boltzmannstraße 3, 85748 Garching bei München, Germany",48.26301100,11.66685700,edu, 61fe4426929c3b066b93a582667e3f0cc3b41959,DeepKnuckle: revealing the human identity,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 617a1c049c01f0f5ef14274741caf273fbb3d084,PF-Face: A Parallel Framework for Face Classification and Search from Massive Videos Based on Spark,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 61de0a35431a26a2f6a38e6f27f4ed3499e4ee95,Robust face recognition using sparse representation in LDA space,University of Milan,University of Milan,"Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA",38.67966620,-90.32628160,edu, +61003316e5dc4fbb36749a66f37f89a819be73f5,Facial feature point detection using simplified gabor wavelets and confidence-based grouping,Otto-v.-Guericke University,"Institute for Electronics, Signal Processing and Communications, Otto-v.-Guericke University, Magdeburg, Germany","Universitätspl. 2, 39106 Magdeburg, Germany",52.14020530,11.64419910,edu, 610779e90b644cc18696d7ac7820d3e0598e24d0,Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, 6140b789d5767dc124f9c3d8db7062d0e637082e,Friend or Foe: Fine-Grained Categorization With Weak Supervision,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 619442b4e5503e80941ce7de87eb12da0cce2b23,Face image super-resolution with pose via nuclear norm regularized structural orthogonal Procrustes regression,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 612215d2a81b254e92e5632e144c647e52568efc,A comparative evaluation of Average Face on holistic and local face recognition approaches,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, 61e2044184d86d0f13e50ecaa3da6a4913088c76,Beyond Frame-level CNN: Saliency-Aware 3-D CNN With LSTM for Video Action Recognition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +61955df5dd9f62b839b61ad6d4e5bf2ab887da86,Eigenpaxels and a neural-network approach to image classification,"C-Core, St. John's, Nfld., Canada","C-Core, St. John's, Nfld., Canada","C-Core, St. John's, NL A1B 3R5, Canada",47.57563300,-52.73516280,edu, 6161ed8a0aa7d5b8791534b093e02e6eca6b1524,A cost function approach for multi-human tracking,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 61a3c45c9f802f9d5fa8d94fee811e203bac6487,A Customized Sparse Representation Model With Mixed Norm for Undersampled Face Recognition,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 61d20ada590e7627351d19565c93c6bed012b5ec,Practical pose normalizaiton for pose-invariant face recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 61831364ddc8db869618f1c7f0ad35ab2ab6bcf7,Heterogeneous feature code for expression recognition,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, 61329bc767152f01aa502989abc854b53047e52c,A Two-Stage Approach to Robust Tensor Decomposition,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, f7993cc8b37a99da066b3338264edf2bf316ebfb,Automatic segmentation of color lip images based on morphological filter,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, +f7bf5b6b4c45a1df022c73a234a65ae77a3eab4a,Illumination and scale invariant relevant visual features with hypergraph-based learning for multi-shot person re-identification,India,India,India,20.59368400,78.96288000,edu, f7ec90a8a2f24f82d260d10f986249e9d1523dc3,A Flexible Dirty Model Dictionary Learning Approach for Classification,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, f718ab6b96688e24bec4be15d66041ef24a94134,Learning the Conformal Transformation Kernel for Image Recognition,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, +f7e91701ca7db1d9de3e8a1d082e2cf0cbbda7a5,Automatic 2D-to-3D image conversion using KNN search,India,India,India,20.59368400,78.96288000,edu, +f7ffc2dc6801b0feee7d863f02ae2ca34c3e6a66,Face recognition by optimal band selection in contourlet transform domain,India,India,India,20.59368400,78.96288000,edu, f79a1ab802be2ca879ddb7b813028da61134f30f,Unsupervised person clustering in videos with cross-modal communication,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, f7911b9ff58d07d19c68f4a30f40621f63c0f385,Discriminative-Element-Aware Sparse Representation for Action Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, f789bdf00efb74b376fa9050f7ae0ef7ee29594a,Informative census transform for very low-resolution image representation,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu, f765c628c5483d7ad974a8605fdd3c7b4010ded2,Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, f732ff3e718ae0f86c5d8cf66b30a18878762863,Local Generic Representation for Face Recognition with Single Sample per Person,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +f7091323c825553e1c5bae6969516fd3bf9c0617,Visual control system design of wheeled inverted pendulum robot based on Beaglebone Black,China,China,China,35.86166000,104.19539700,edu, f7f6eb91b6ad95a3b47c0ec4ac02f323b98cfcfc,An eye-friendly dual-view projection system using temporal psychovisual modulation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, f7dd25ac4f52f23b9c2fa3265c62c030527de53f,High-Order Distance-Based Multiview Stochastic Learning in Image Classification,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, +f7ea5ef9b277ff45d8aac1b1eefeaaa601c2a726,Image annotation of power grid objects based on convolutional neural networks,China,China,China,35.86166000,104.19539700,edu, f73b5cb120e55284c3bddc6ae2f1937109ff2994,A local learning based Image-To-Class distance for image classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, f75d8a1cafda3332aa4bdae60d2cb86e5fd6994c,A biologically inspired system for fast handwritten digit recognition,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +f702f1294c0cd74b31db39c698281744d3137eb4,Efficient Facial Expression Ecognition and classification system based on morphological processing of frontal face images,India,India,India,20.59368400,78.96288000,edu, f7e131796418a79ff38f426abf5acb846230708a,Exploring Macroscopic Fluctuation of Facial Expression for Mood Disorder Classification,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, f705ce0ce4ad30d20808ef9709abb5c66c3ca39b,Moving objects detection using classifying object proposals for driver assistance system,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu, f7be8956639e66e534ed6195d929aed4e0b90cad,Active Learning of Introductory Machine Learning,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, @@ -2896,67 +4134,107 @@ f7dbb15ed72d1282445178dab3368d7676763aa6,On multi-modal people tracking from mob 7535e3995deb84a879dc13857e2bc0796a2f7ce2,Fast density-weighted low-rank approximation spectral clustering,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 751e9126b99c8c2552447c0bb1897ce5add6cf4a,Designing of 3D-face recognition system,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 75c9dc4cbf7224b244a5c9046f998543ee8926e7,Learning Behavioural Context,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +75013851e8264bde68983289e0c4d0ae92533ad3,Multi-support-region image descriptors and its application to street landmark localization,"Microsoft Research Redmond, Redmond, USA","Microsoft Research Redmond, Redmond, USA","14865 NE 36th St, Redmond, WA 98052, USA",47.64183920,-122.14074650,edu, +75b4a3434023c5068c510b91bf4c3679e22ff3c7,Improved binary HOG algorithm and possible applications in car detection,Romania,Romania,Romania,45.94316100,24.96676000,edu, 75410eb80800f8b51b555da7d61b03b3fe58cc47,Single shot object detection with top-down refinement,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +75a1406d26bc6faef8ffa3da00fdf6b7621b7754,Reliable scale estimation and correction for monocular Visual Odometry,ANU (Australian National University),"ANU (Australian National University), Australia","Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +7587a09d924cab41822a07cd1a988068b74baabb,Image scoring: Patch based CNN model for small or medium dataset,"Sichuan Police College, Luzhou, China","Sichuan Police College, Luzhou, China","China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, 江阳西路34号",28.87451300,105.43182700,edu, 75b51140d08acdc7f0af11b0ffa1edb40ebbd059,Selecting discriminant eigenfaces by using binary feature selection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +75b60cdbaa2ab77b169ed0d1e478ebff07468ef8,Multiscale Logarithm Difference Edgemaps for Face Recognition Against Varying Lighting Conditions,China,China,China,35.86166000,104.19539700,edu, 75150b16cee83641f01074568fe4b2d2eb3d0a31,Sparse coding with cross-view invariant dictionaries for person re-identification,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +758d481bbf24d12615b751fd9ec121500a648bce,Robust face identification using DTCWT and PCA subspace based sparse representation,India,India,India,20.59368400,78.96288000,edu, 75329ae46925aceb6b9c10bb1fd118db434e1f9b,Face Recognition Using Sparse Fingerprint Classification Algorithm,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +75a7a42af98c20740050d459109b8c4c8ab18128,Text-indicated speaker recognition using kernel mutual subspace method,"NTT Data Corporation, Toyosu Center Bldg Annex, 3-3-9, Koto-ku, Tokyo 135-8671, Japan","NTT Data Corporation, Toyosu Center Bldg Annex, 3-3-9, Koto-ku, Tokyo 135-8671, Japan","Japan, 〒135-0061 Tokyo, Koto, Toyosu, 3 Chome−3−3 豊洲センタービル",35.65595200,139.79618800,edu, 75b833dde2e76c5de5912db3444d62c4131d15dc,A Face Tracker Trajectories Clustering Using Mutual Information,University of Thessaloniki,University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 75d0a8e80a75312571951144aaa2d5dd5ae30e43,Polar Transformation on Image Features for Orientation-Invariant Representations,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 7557296f49116c1e1a5e7917c68e238a8e5507c2,ConcatNet: A Deep Architecture of Concatenation-Assisted Network for Dense Facial Landmark Alignment,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 751923405938a9f6b9dff74cf34dd34c7427b30f,Online visual multi-object tracking based on fuzzy logic,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 75ce75c1a5c35ecdba99dd8b7ba900d073e35f78,Action unit intensity estimation using hierarchical partial least squares,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +751fb994b2c553dc843774a5620bfcab8bc657fd,Data Mining Techniques for the Estimation of Variables in Health-Related Noisy Data,"Universidad de León, León, Spain","Universidad de León, León, Spain","Campus de Vegazana, s/n, 24071 León, Spain",42.61226120,-5.56036980,edu, 75a050e55ef1f6753da6e2e26d30e074992d2b28,Feature Extraction From Talking Mouths for Video-Based Bi-Modal Speaker Verification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +75d7ba926ef1cc2adab6c5019afbb2f69a5ca27d,Face recognition under varying illumination,China,China,China,35.86166000,104.19539700,edu, +755d1f600b493136b71e8b7fec9b7d4c6af7bf21,Pornographic images detection using High-Level Semantic features,China,China,China,35.86166000,104.19539700,edu, 75370d108f053f04dfbe8d42835f63fa165adcb6,Retrieving real world clothing images via multi-weight deep convolutional neural networks,University of Peshawar,University of Peshawar,"University of Peshawar, Road 2, JAHANGIR ABAD / جهانگیرآباد, پشاور‎, Peshāwar District, خیبر پختونخوا, 2500, ‏پاکستان‎",34.00920040,71.48774947,edu, 754626bd5fb06fee5e10962fdfeddd495513e84b,Facial expression pair matching,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +756083723f91af82e55b8ad6b4ea7965d46c4ca8,A low complexity and efficient face recognition approach in JPEG compressed domain using quantized coefficients,"Multimedia Systems Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran","Multimedia Systems Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran","Tehran Province, Tehran, N Kargar, Iran",35.73626370,51.38503190,edu, +75705f1254debc4a703ab9128c11d13cee0de66d,Multisensor fusion of visual and thermal images for human face identification using different SVM kernels,India,India,India,20.59368400,78.96288000,edu, 7a617426bc02c10dd781dbbe44d3fbc7a2ab5793,A neuro-inspired visual tracking method based on programmable system-on-chip platform,Nottingham Trent University,Nottingham Trent University,"Nottingham Trent University, Waverley Terrace, Lace Market, The Park, City of Nottingham, East Midlands, England, NG1 5JD, UK",52.95773220,-1.15617099,edu, +7af4ee644a0b4269a080fc491f443b32d6930bff,Deep Multi-View Feature Learning for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, +7adaad633d3002f88cdee105d9c148e013202a06,Fuzzy local binary patterns: A comparison between Min-Max and Dot-Sum operators in the application of facial expression recognition,Electrical Engineering Sharif University of Technology Tehran,"Electrical Engineering Sharif University of Technology Tehran, Iran","Tehran Province, Tehran, District 2, بن بست 7، Iran",35.70158350,51.35177680,edu, 7ab7befcd319d55d26c1e4b7b9560da5763906f3,Facial Trait Code,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 7a91617ec959acedc5ec8b65e55b9490b76ab871,An efficient illumination invariant face recognition technique using two dimensional linear discriminant analysis,"Indian Statistical Institute, Kolkata","Indian Statistical Institute, Kolkata","Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India",22.64815210,88.37681700,edu, 7ab8cafe454a9fd0fe5d51e718a010ef552b9271,Recognition of facial expression based on CNN-CBP features,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, 7a66e302652f50699304dedf46384d33edc9f4c1,A Kinect-Based Wearable Face Recognition System to Aid Visually Impaired Users,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, +7afd34046a8a0fd6bd2f2c5cc25e3793151b28c4,Explicit and implicit employment of edge-related information in super-resolving distant faces for recognition,"FotoNation Ltd., Galway, Ireland","FotoNation Ltd., Galway, Ireland","Cliona, Building One, Parkmore East Business Park, Co. Galway, Ireland",53.30256730,-8.98637330,edu, 7a515a8d994f4605789c96bc7c389986797d1e34,Exploring the pattern of multi-scale directional second-order gradients for facial recognition,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu, 7a670b80c7e95b85efc6ef677cae539c4df20e4f,A simplified and efficient method for Facial Key points Detection,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, +7a982ca3fdf740874db2bb4cd04041a014b5d374,A Skin Segmentation Algorithm Based on Stacked Autoencoders,China,China,China,35.86166000,104.19539700,edu, 7adfc2f854e2ea45c29d22d6e2dcccdd527f46a8,Facial expression recognition using $${l}_{p}$$ l p -norm MKL multiclass-SVM,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu, +7aa32e0639e0750e9eee3ce16e51e9f94241ae88,Automatic gender recognition for “in the wild” facial images using convolutional neural networks,Technical University,"Faculty of Computer Science, Technical University, Cluj-Napoca, Romania","Strada George Barițiu 26-28, Cluj-Napoca 400027, Romania",46.77235810,23.58520750,edu, 7a09e8f65bd85d4c79f0ae90d4e2685869a9894f,Face and Hair Region Labeling Using Semi-Supervised Spectral Clustering-Based Multiple Segmentations,Korea Institute of Oriental Medicine,"Korea Institute of Oriental Medicine, Daejeon, South Korea","461-24 Jeonmin-dong, Yuseong-gu, Daejeon, South Korea",36.39918400,127.39465600,edu, +7a047428e6a6ba1486d54f9599ba3ce6201360c9,Requirements and Challenges of Multimedia Processing and Broadband Connectivity in Remote and Autonomous Vessels,"Ship Intelligence, Rolls-Royce Marine","Ship Intelligence, Rolls-Royce Marine","2929 Todd Rd, Galveston, TX 77554, USA",29.31306500,-94.80184060,company, +7aed6480ec8882075c7f8fab20b7d257acd65ae1,Human ear recognition based on local multi-scale LBP features with city-block distance,University of Paris 8,"LIASD research Lab., University of Paris 8, Saint-Denis, France","2 Rue de la Liberté, 93526 Saint-Denis, France",48.94491330,2.36350560,edu, +7ad1638f7d76c7e885bc84cd694c60f109f02159,Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine,Wenzhou University,"College of Physics and Electronic Information, Wenzhou University, Wenzhou, China","China, Zhejiang, Wenzhou, Lucheng, 民航路",28.00676000,120.67618600,edu, 7ab233422c7505ad58e052acc74ce5c557a220b8,Human body modeling with partial self occlusion from monocular camera,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 7aac397df8109d8d9ad55cc2c1f9a07589d58d3b,Robust pedestrian attribute recognition for an unbalanced dataset using mini-batch training with rarity rate,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, 7a5b09559d210d90a125b4d451271fe07924b992,Combination of Multi-Scale Convolutional Networks and SVM for SAR ATR,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 7a595800b490ff437ab06fe7612a678d5fe2b57d,Improved concept similarity measuring in the visual domain,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 7a7569246855b8620d65d016013ccd0144a4f3ab,DISTATIS: The Analysis of Multiple Distance Matrices,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, +7bfc7e45967897223b5d9278d0ef29cb2b5789be,Up to a Limit?: Privacy Concerns of Bystanders and Their Willingness to Share Additional Information with Visually Impaired Users of Assistive Technologies,India,India,India,20.59368400,78.96288000,edu, 7be6c9234351536f3ca8c1f61cd12dc9e94f1a45,Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 7b8c709abb34fba9f5404293ac5209a78258acbc,Improving deep convolutional neural networks for real-world clothing image,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +7b8ace072475a9a42d6ceb293c8b4a8c9b573284,Conditional Random Fields for multi-camera object detection,"EPFL, Lausanne (Switzerland)","EPFL, Lausanne (Switzerland)","Route Cantonale, 1015 Lausanne, Switzerland",46.51905570,6.56675760,edu, 7b83674072904f783881585a45017c1969e2d692,Multi-Perspective Tracking for Intelligent Vehicle,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, +7bf7483f96a5f08a0c762831f7214b4caf451d24,Improving object detection accuracy with region and regression based deep CNNs,China,China,China,35.86166000,104.19539700,edu, 7bce03583d85b307d5b84872e2ff147661a70158,Facial Expression Recognition in the Wild: A Cycle-Consistent Adversarial Attention Transfer Approach,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, 7bc74eec0a0aa43ae2b9448e16dd9d1fa4234fb8,ApesNet: a pixel-wise efficient segmentation network,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, +7b90c6b91386626809513c85c96207425acaf2b7,A survey on visual surveillance of object motion and behaviors,China,China,China,35.86166000,104.19539700,edu, 7b618a699b79c1272f6c83101917ad021a58d96b,BAUM-2: a multilingual audio-visual affective face database,Bahçeşehir University,Bahcesehir University,"BAU Galata, 24, Kemeraltı Caddesi, Müeyyedzade, Beyoğlu, İstanbul, Marmara Bölgesi, 34425, Türkiye",41.02451875,28.97697953,edu, 7b47dd9302b3085cd6705614b88d7bdbc8ae5c13,Face Recognition Using Gabor-Based Feature Extraction and Feature Space Transformation Fusion Method for Single Image per Person Problem,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, 7b7df29da8ccf4a74908f70845c7b1e523a174c2,Efficient learning based face hallucination approach via facial standard deviation prior,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +7b28725e63a038f5eb4f25c69ecd3e745d382c37,System Architecture of a Driverless Electric Car in the Grand Cooperative Driving Challenge,"Universite de Techonologie de Compiegne, Sorbonne Universites, Compiegne, France","Universite de Techonologie de Compiegne, Sorbonne Universites, Compiegne, France","rue Roger Coutolenc, 60200 Compiègne, France",49.41522420,2.81911440,edu, 7b4be5c162e10d26235d5c9e188e4832e003bcaa,Vision-based parking-slot detection: A benchmark and a learning-based approach,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, 7b15b2ec4ed2b92bfcf2c736c1149d0eccb66de9,Chromatic colour spaces for skin detection using GMMS,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 7b3022707facb5a2f0e8e042ea4f70fee61ae58d,Cooperative localization and mapping of MAVs using RGB-D sensors,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 7ba1358f50d52004e445c5fd6def2fbba845c0d2,Shape alignment and shape orientation analysis-based 3D shape retrieval system,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, 8229f2735a0db0ad41f4d7252129311f06959907,Active Learning for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion,"Institution for Infocomm Research, Singapore","Institution for Infocomm Research, Connexis, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, 82953e7b3d28ccd1534eedbb6de7984c59d38cd4,Incremental Generalized Discriminative Common Vectors for Image Classification,Universitat de València,Universitat de València,"Campus dels Tarongers, Plaza de Manuel Broseta i Pont, Ciutat Jardí, Algirós, València, Comarca de València, València / Valencia, Comunitat Valenciana, 46022, España",39.47787665,-0.34257711,edu, +8298420666fc817271b52379d3f2a96d8990fcbf,Hybrid-augmented intelligence: collaboration and cognition,China,China,China,35.86166000,104.19539700,edu, 8286c8eb0df7c9f1b2000b67066331f4e541f5bd,Targeted biometric impersonation,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +8298aa4a508a9586e5d54777b897eae64165a071,Person re-identification based on viewpoint correspondence pattern,China,China,China,35.86166000,104.19539700,edu, 826fd96d3f612fe1f6b3d8d8c77329645f29a318,Slow features nonnegative matrix factorization for temporal data decomposition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 8234aa5414a53e705f0be9abcdcf1d3fec90c091,Partially occluded face recognition using subface hidden Markov models,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +82405ab7fcca6c008371a74a23562091912260f3,Learning to Transfer: Generalizable Attribute Learning with Multitask Neural Model Search,China,China,China,35.86166000,104.19539700,edu, 82e3f4099503633c042a425e9217bfe47cfe9d4b,A modified vector of locally aggregated descriptors approach for fast video classification,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 82a0a5d0785fb2c2282ed901a15c3ff02f8567df,Comparison of two methods for unsupervised person identification in TV shows,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +82451d0ae2e0154b5f9cd096af199c35319e911a,Image spam filtering using convolutional neural networks,China,China,China,35.86166000,104.19539700,edu, +82f293d1a33cb92c1cf3e9f9386509e8b3cbcc81,Point-Triplet Spin-Images for Landmark Localisation in 3D Face Data,Autonomous University of the State of Mexico,"Autonomous University of the State of Mexico, Toluca, Mexico","Instituto Literario 100, Centro, 50000 Toluca de Lerdo, Méx., Mexico",19.28412030,-99.67799890,edu, 828ac57f755db989e2886042a85278ae4823297c,Uncovering the Temporal Context for Video Question Answering,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 82594dc43b73453c958feea6ede8472cc0af869f,An efficient occlusion detection method to improve object trackers,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 820bdbe2d34198568b31658bd2fabcc2eeead469,Fast Deformable Model for Pedestrian Detection with Haar-like features,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, +82007bd70d83869fdbe39c03bda0b4459991fda7,Impact of temporal subsampling on accuracy and performance in practical video classification,"IBM Research - Zürich, 8803 Rüschlikon, Switzerland","IBM Research - Zürich, 8803 Rüschlikon, Switzerland","Säumerstrasse 4, 8803 Rüschlikon, Switzerland",47.30950160,8.54507160,edu, 82b9a637e55a9faef8f68d00296684c6cf29630a,Segment-wise online learning based on greedy algorithm for real-time multi-target tracking,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +829a9912d0cfaba106d1d594caf8aa97f9ffb318,Evaluation of Local Tetra Pattern features for face recognition,"Council of Scientific and Industrial Research (CSIR), New Delhi, India","Council of Scientific and Industrial Research (CSIR), New Delhi, India","Anusandhan Bhawan, 2 Rafi Marg, New Delhi, Delhi 110001, India",28.61814600,77.21191700,edu, 8262facae51097b3004f492d6de456286a2a58a2,Applying Detection Proposals to Visual Tracking for Scale and Aspect Ratio Adaptability,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +821fb8b05108b7ce5312bc5cac3b0e5d56e279ab,Specific Person Retrieval via Incomplete Text Description,Jiujiang University,"Jiujiang University, Jiujiang, China","17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000",29.72004900,115.99882500,edu, +829739639a3a3e31136582e9f97625599a020ff3,Advanced Parallel Processing Technologies,"Inspur, Shangdong, China","Inspur, Shangdong, China","China, Shandong, Jinan, Lixia, 新泺大街1162号",36.67812800,117.13743600,company, +82fb85517ee1bb3746348221de3d5347c6b3ed0e,Markov chain Monte Carlo based video tracking algorithm,Russia,Russia,Russia,61.52401000,105.31875600,edu, 82a7f64280cbb3c90570b2aff0c52ce9161bd942,Obstacle detection in single images with deep neural networks,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 82f5c150a882533c51ea221b642b0df9d10757c8,Fast pedestrian detection using BWLSD for ROI,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 1712178708eb74770af9fcce854dfe21af9d56fc,Human pose estimation in surveillance videos using temporal continuity on static pose,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 179545c1fc645cb2ad9b31a30f48352d541876ff,Kernel-based Subspace Analysis for Face Recognition,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +177d03c5851f7082cb023a20fa8a2cd1dfb59467,Difference networks and second-order difference networks,China,China,China,35.86166000,104.19539700,edu, 176fc31a686fb70d73f1fa354bf043ad236f7aa3,A Database and Evaluation Methodology for Optical Flow,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 179564f157a96787b1b3380a9f79701e3394013d,MACH: my automated conversation coach,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, +17f10af27762b443e4a857b9ffd11aab68524682,Effective eye pupil localization with enhanced shape isotope cornea curvature technique,India,India,India,20.59368400,78.96288000,edu, 17196a4876f65123d83289e6e52d73f1f92ceffd,Face image super-resolution via weighted patches regression,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 176980b2554c16c5a48af890276f4649172076bd,An improved ant colony optimization algorithm with strengthened pheromone updating mechanism for constraint satisfaction problem,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 17d212e81f1e9ab707a90a010afedc1d85678a26,An Intelligent Guiding System using Face Information and Vision-based Mouse-Interaction User Interface,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +175d6e5f9d12a531966f8a2e2eb13e849ae1b38f,Locally adaptive texture features for multispectral face recognition,Laval University,"Computer Vision and Systems Laboratory, Laval University, Quebec City G1V 0A6, Canada","1065 Avenue de la Médecine, Québec, QC G1V 0A6, Canada",46.77912420,-71.27626570,edu, 17be95132dc3dc121822703e3c8476edd199a10f,Passive vision: The global webcam imaging network,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, +17b170920b34f21a59917ddea7bcb5e5848c642b,DWT-ELBP based model for face recognition,India,India,India,20.59368400,78.96288000,edu, 17d22b7289d1bd22f6ccbe33ff50ed1ca270a690,Deconv R-CNN for Small Object Detection on Remote Sensing Images,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +17342b1c4caccfc499d9ae55a68d7b93285c5d6b,Action recognition in still images using a combination of human pose and context information,China,China,China,35.86166000,104.19539700,edu, 178c508fa49a488d9d0ef32048420bae58b4922e,Reinforced Robust Principal Component Pursuit,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, 172f0c646a67f6398a15b9cc69ab85bfda616e35,Person Re-Identification with Weighted Spatial-Temporal Features,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 17c63dddd8d37b3b8c70d509cfee81fe71d84e2e,Face recognition using multiple rigid regions matching,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, @@ -2966,42 +4244,57 @@ f7dbb15ed72d1282445178dab3368d7676763aa6,On multi-modal people tracking from mob 7713517d7b38daba56ca5da62e2a9c35ec39008c,Classification via atomic representation,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, 779d3f0cf74b7d33344eea210170c7c981a7e27b,Fast-PADMA: Rapidly Adapting Facial Affect Model From Similar Individuals,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 7791ce332eb0e9b5e1f839c62a9b8cf5bfd51110,Local Image Descriptor: Modern Approaches,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, -77c5437107f8138d48cb7e10b2b286fa51473678,A pseudo ensemble convolutional neural networks,"Electronics and Telecommunications Research Institute, Daejeon, Korea","Electronics & Telecommunications Research Institute (ETRI), Daejeon, Korea","Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea",36.38376500,127.36694000,edu,"Electronics and Telecommunications Research Institute, Daejeon, Korea" +77c5437107f8138d48cb7e10b2b286fa51473678,A pseudo ensemble convolutional neural networks,"Electronics and Telecommunications Research Institute, Daejeon, Korea","Electronics and Telecommunications Research Institute, Daejeon, Korea","Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea",36.38376500,127.36694000,edu, 7788fa76f1488b1597ee2bebc462f628e659f61e,A Privacy-Aware Architecture at the Edge for Autonomous Real-Time Identity Reidentification in Crowds,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, +77362789d04db4c51be61eaffa4f43e03759e677,Fuzzy Analysis and Deep Convolution Neural Networks in Still-to-video Recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu, 77a9b1856ebbc9a6170ee4c572a515d6db062cef,Towards a practical face recognition system: Robust registration and illumination by sparse representation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 7730d2a16d6b85edfacdfa37124abda79a667702,Guest Editorial: Image and Language Understanding,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 770e5117d02ece2ae62d734089fc6147f9a90be8,Tailoring the AI for Robotics: Fine-tuning Predefined Deep Convolutional Neural Network Model for a Narrower Class of Objects,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 771a6a80dd08212d83a4e976522e1ce108881401,An automated method for realistic face simulation and facial landmark annotation and its application to active appearance models,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 77816b9567d5fed1f6085f33e1ddbcc73af2010e,Artimetrics: Biometrics for Artificial Entities,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, 77ca49df9b6616d3234073f1bf647e0e3d5795d8,A trajectory simulator for individual movements using probabilistic distribution profiles,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, +770bf54c87e55c986c5bc383f3ba240284ef8908,Design of a 3-D Infrared Imaging System Using Structured Light,China,China,China,35.86166000,104.19539700,edu, 77cea27494499dd162221d1476bf70a87391790a,Neighborhood repulsed correlation metric learning for kinship verification,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +776a4575812e6e177c91b3e05d55dba98db8557b,A discriminative model for facial expression recognition using local directional number pattern,India,India,India,20.59368400,78.96288000,edu, 7783095a565094ae5b3dccf082d504ddd7255a5c,"""Wow! you are so beautiful today!""",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 771505abd38641454757de75fe751d41e87f89a4,Learning structured sparse representation for single sample face recognition,Nantong University,Nantong University,"南通大学, 狼山镇街道, 崇川区 (Chongchuan), 南通市 / Nantong, 江苏省, 226000, 中国",31.97474630,120.90779264,edu, 77dc926b6ebb3e7e7854dc1b74466906c53e5f2c,A Non-generative Approach for Face Recognition Across Aging,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 77b7572bf1426b0d2fa8d34fab41ca7f0086f28d,Human Pose Estimation by Exploiting Spatial and Temporal Constraints in Body-Part Configurations,HoHai University,HoHai University,"河海大学, 河海路, 小市桥, 鼓楼区, 南京市, 江苏省, 210013, 中国",32.05765485,118.75500040,edu, 775d5676dfda56c80c87dca30bd611f8fabd9ff6,Improved SIFT matching for pose robust facial expression recognition,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, 77f98d1dc114e4a7a99bbdb2363d74f549dfa417,Multi-camera based human localization for room utilization monitoring system,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, +77967f001fbadab624318e79013df3abc95fa52c,Sparse subspace clustering with low-rank transformation,China,China,China,35.86166000,104.19539700,edu, 778c1e95b6ea4ccf89067b83364036ab08797256,Exploring Patterns of Gradient Orientations and Magnitudes for Face Recognition,"VESALIS SAS, France","Vesalis company, Clermont-Ferrand, France","8 - 10 Allée Evariste Galois, 63000 Clermont-Ferrand, France",45.75976430,3.13102130,company, 77927f4f812513d6ecfef26e0ddbc53c85796ccb,Graph PCA Hashing for Similarity Search,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, 77d51bea8f2511d2b039a6da3f5319857d6c7ee9,Human pose estimation using structural support vector machines,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 775e702f8918f4e788ce0f30050525bdabb41bdb,FPGA acceleration of multilevel ORB feature extraction for computer vision,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, d35f6b9e29eac5d5249143685075a9ec2036e2bb,Wavelet transform based convolutional neural network for gearbox fault classification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, d383ba7bbf8b7b49dcef9f8abab47521966546bb,Face image retrieval by shape manipulation,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, +d3409f66d35f5828affda26fc3416771eb8154b1,Verification of family relation from parents and child facial images,India,India,India,20.59368400,78.96288000,edu, d3367c9a4825295301225a05a190c0b7ed62736e,Real-time discrimination of frontal face using integral channel features and Adaboost,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, d3a3d15a32644beffaac4322b9f165ed51cfd99b,Eye detection by using deep learning,"Gebze Technical University, Turkey","Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye","Cumhuriyet Mah, 2254. Sk. No:2, 41420 Gebze/Kocaeli, Turkey",40.80805620,29.35612020,edu, d39eddd5305cfbdf9a143fbe3c4274ef08895e57,SVM-based one-against-many algorithm for liveness face authentication,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, d345687bfeabd73b4ca86a1eadadadce8b0297a8,Deep Learning Hierarchical Representations for Image Steganalysis,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +d3f40b393e0e6a88ae4b4072e01ddb0b420300af,Efficient face and facial expression recognition model,India,India,India,20.59368400,78.96288000,edu, d387bea00ecab8217ce665fc3c41eca04e24645d,Archetypal Analysis for Nominal Observations,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, d36bf3b5616e12e402dea79b8a645e445f67b675,Fusion of static and temporal predictors for unconstrained facial expression recognition,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, d3afd1ee9bd0402775227505ea506cc52a0c18f9,Enhancing user authentication of online credit card payment using face image comparison with MPEG7-edge histogram descriptor,Chulalongkorn University,Chulalongkorn University,"จุฬาลงกรณ์มหาวิทยาลัย, 254, ถนนพญาไท, สยาม, แขวงปทุมวัน, เขตปทุมวัน, กรุงเทพมหานคร, 10330, ประเทศไทย",13.74311795,100.53287901,edu, +d37a88bb3e3840464bbc177569b76cf3aa1ec081,Improving 3D face geometry by adapting reconstruction from stereo image pair to generic Morphable Model,India,India,India,20.59368400,78.96288000,edu, d3dea0cd65ab3da14cb7b3bd0ec59531d98508aa,Spontaneous Expression Detection from 3D Dynamic Sequences by Analyzing Trajectories on Grassmann Manifolds,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +d3ae825a19b7a0b1645412368403814dbebcd113,Application of two-dimensional canonical correlation analysis for face image processing and recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu, d32691ba18767cd7b41fc1dda81c6d6b3e07ac4b,Beyond Concept Detection: The Potential of User Intent for Image Retrieval,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +d353b30b9ca3124fad08e3bdc8167dfe994efb34,Dual Learning for Visual Question Generation,"Qualcomm Technologies, Inc., San Diego, CA","Qualcomm Technologies, Inc., San Diego, CA","5775 Morehouse Dr, San Diego, CA 92121, USA",32.89607560,-117.19559840,edu, 763b5765f7c22adfe2baadea8e891562063a68ba,Sparse L1-norm-based linear discriminant analysis,Anhui Polytechnic University,Anhui Polytechnic University,"安徽工程大学, 鸠江北路, 芜湖市, 芜湖市区, 芜湖市 / Wuhu, 安徽省, 241000, 中国",31.34185955,118.40739712,edu, 7644b3a0871b8e0e7e1cdf06099e295f1e5fbdf7,Graph Maximum Margin Criterion for Face Recognition,Anhui Polytechnic University,Anhui Polytechnic University,"安徽工程大学, 鸠江北路, 芜湖市, 芜湖市区, 芜湖市 / Wuhu, 安徽省, 241000, 中国",31.34185955,118.40739712,edu, +766209460c41d18ec357c6e1c8e79480b0c3c0f0,A Discriminatively Learning Model with Illumination Transfer for Inter-Camera Pedestrians Association,China,China,China,35.86166000,104.19539700,edu, +76fe2c44c1b803425e609b8d847733fbbddabc0b,A novel object recognition system for cognitive robot,China,China,China,35.86166000,104.19539700,edu, +761304bbd259a9e419a2518193e1ff1face9fd2d,Robust and computationally efficient face detection using gaussian derivative features of higher orders,"INRIA Grenoble-Rhône-Alpes Research Center, France","INRIA Grenoble-Rhône-Alpes Research Center, France","655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France",45.21788600,5.80736900,edu, 76dc38e24129ffc8bdb84d533c4ee50c752140aa,Sparse representation and least squares-based classification in face recognition,"TCL Research America, San Jose, CA","TCL Research America, San Jose, CA 95134, USA","2870 Zanker Rd Suite 200, San Jose, CA 95134, USA",37.39521480,-121.92778100,company, +7634fd094c435e2084abe3f5553bd814c9d0ec40,Genetic algorithm assisted by a SVM for feature selection in gait classification,Shinshu University,"Faculty of Engineering, Shinshu University, Japan","4 Chome-17-1 Wakasato, Nagano, Nagano Prefecture 380-0928, Japan",36.63134980,138.19010140,edu, 76438df197d4cd0a05d0b2c87290c1cc2da2c85b,Rank level fusion for kinect gait and face biometrie identification,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, +768dc78ee5640cf49775b573c629fa569bf04a4e,Human detection and tracking using new features combination in particle filter framework,Babol University of Technology,"Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran","Mazandaran Province, Babol, Shariati St, Iran",36.56114150,52.68057690,edu, 76640cb1a683a479ce2e0d6681d821ff39126d63,Innovative embodiment of job interview in emotionally aware communication robot,"NEC Corporation, Nara, Japan","C & C Innovation Research Labs, NEC Corporation, Nara, Japan","Nara, Nara Prefecture, Japan",34.68508690,135.80500020,edu, 76669f166ddd3fb830dbaacb3daa875cfedc24d9,Learning face recognition from limited training data using deep neural networks,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, +7698ba9fd1f49157ca2666a93311afbf1ff4e66c,Visual object detection with deformable part models,University of California at Berkeley,"International Computer Science Institute, University of California at Berkeley, Berkeley, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu, 76e7484e7d9880a56f01ba28e9262397bd10eb2a,Image Classification by Selective Regularized Subspace Learning,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 769f3ff405b076689748762526e0a861fcf03ce6,Real-time moving pedestrian detection using contour features,China University of Mining and Technology,China University of Mining and Technology,"China University of Mining and Technology, 1号, 大学路, 泉山区 (Quanshan), 徐州市 / Xuzhou, 江苏省, 221116, 中国",34.21525380,117.13985410,edu, 76a2844ccf9dd0a04a0d2ba017dc4f94540370ef,A new IoT combined body detection of people by using computer vision for security application,Firat University,Firat University,"Erzincan Üniversitesi Hukuk Fakültesi Dekanlığı, Sivas-Erzincan yolu, Üçkonak, Erzincan, Erzincan merkez, Erzincan, Doğu Anadolu Bölgesi, 24000, Türkiye",39.72750370,39.47127034,edu, @@ -3011,34 +4304,56 @@ d32691ba18767cd7b41fc1dda81c6d6b3e07ac4b,Beyond Concept Detection: The Potential 76951c50e5c33132a9de0f8911b77d99d873cd0f,Face recognition by humans performed on basis of linguistic descriptors and neural networks,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, 764193fc925e817a3afe5930e1399268c9eaa136,Quick Bootstrapping of a Personalized Gaze Model from Real-Use Interactions,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 764ccd05bbdc944411c98430e4637041ec79e674,Collage CNN for Renal Cell Carcinoma Detection from CT,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, +7668ce758af72df8e0a10d4b3cb0fd58092fe3e1,Probabilistic and ternary representation of attributes in attribute based object classification,"Deniz Harp Okulu, Turkey","Deniz Harp Okulu, Turkey","Postane Mahallesi, Rauf Orbay Cad. Deniz Harp Okulu Komutanlığı, 34940 Tuzla/İstanbul, Turkey",40.81536320,29.27083900,edu, 7660adafc27d31f582a6b77665dc24144cbb4b6f,Hybrid super resolution using refined face logs,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, +76a313ca56efaaf03c854b2c3fc94b514fbc5e75,A novel approach for multimodal face recognition system based on modular PCA,India,India,India,20.59368400,78.96288000,edu, 760c5d7392f4f193312af0f5c4f178b73f3f77d2,Rotated Profile Signatures for robust 3D feature detection,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 9a98dd6d6aaba05c9e46411ea263f74df908203d,LETRIST: Locally Encoded Transform Feature Histogram for Rotation-Invariant Texture Classification,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, 9a1967db627dfbc3f3519970d403c57be0e90ea2,Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, +9a00aa841e631589fa5c4b3ac4107e4dc9b25f3b,Eyegaze Tracking In Handheld Devices,India,India,India,20.59368400,78.96288000,edu, +9afe080ea6b9cc46f0e99cb283c265f3e6b73408,Inertia constrained visual odometry for navigational applications,India,India,India,20.59368400,78.96288000,edu, 9ae25adfda5e9788e740886080856d12a9f0d95f,A Simple Approach to Multiview Face Hallucination,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, 9ab57be9cd26652fcc02ce994ee53ede05cfa79c,Online learning on incremental distance metric for person re-identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 9a7671fcb2f8876dba7bf5ed708100d29e3ecfc4,Learning by focusing: A new framework for concept recognition and feature selection,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, 9ae74af82cade9b5dde8c89d9bdde7b08795331c,Object-Based Multiple Foreground Segmentation in RGBD Video,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +9a7973f85c7db836efc5d00eab80019d7a94fade,3D Face & 3D Ear Recognition: Process and Techniques,India,India,India,20.59368400,78.96288000,edu, 9a5516d8752202f5d6e542a983dc2e7fe59013e4,Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data,Kookmin University,Kookmin University,"국민대학교앞, 정릉로, 정릉2동, 정릉동, 성북구, 서울특별시, 02708, 대한민국",37.61075540,126.99466350,edu, 9a59abdf3460970de53e09cb397f47d86744f472,Query-specific visual semantic spaces for web image re-ranking,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 9a9998098e2b28c55e0b1c9032c6092572096386,Brief survey on image semantic analysis and understanding,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, +9a84588fe7e758cfbe7062686a648fab787fc32f,Human facial expression recognition using curvelet feature extraction and normalized mutual information feature selection,Sang-Myung University,"Division of Digital Media Engineering, Sang-Myung University, Suwon, Republic of Korea","20 Hongjimun 2-gil, Buam-dong, Jongno-gu, Seoul, South Korea",37.60263800,126.95525200,edu, 9ac365dc78c13c2fa94858b056427de2093407ab,Computing Accurate Correspondences across Groups of Images,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 9a15bb1a3b2f92ae0f6f5a6556f52077909fd736,Face recognition using the Weber Local Descriptor,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, +9ab471f5bb6a9d8232afad2918a1ff4180ac02aa,Recognizing human actions by two-level Beta process hidden Markov model,China,China,China,35.86166000,104.19539700,edu, +9af50efd1226743c8404245665f55a6b86baa429,Radial basis function neural network-based face recognition using firefly algorithm,India,India,India,20.59368400,78.96288000,edu, 9a15661ab810a742095f33180c481bc7a1d37308,Automatic Polyp Detection via a Novel Unified Bottom-Up and Top-Down Saliency Approach,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +9ad0d957138db7fcad7db77bacfdd5c1c728031c,Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images,"Medical College Kolkata, Kolkata, India","Medical College Kolkata, Kolkata, India","88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India",22.57374630,88.36191530,edu, 9abf6d56a7d336bc58f4e3328d2ee807032589f1,Facial expression recongition using firefly-based feature optimization,Teesside University,Teesside University,"Teesside University, Southfield Road, Southfield, Linthorpe, Middlesbrough, North East England, England, TS1 3BZ, UK",54.57036950,-1.23509662,edu, 16404d38775e2e8ddcd28e2ca6e79cf8a82d0d9f,An HOG-LBP human detector with partial occlusion handling,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 162c0826c27517309b7e27b0d1970e34c094596d,A kernelized sparsity-based approach for best spectral bands selection for face recognition,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, +16022bcba6849cdbcf5866a075daa8e24c218c13,CNN-based multi-frame IMO detection from a monocular camera,Goethe University Frankfurt am Main,"Visual Sensorics & Information Processing Lab, Goethe University Frankfurt am Main, Germany","60323 Frankfurt, Germany",50.12706750,8.66776350,edu, 16e5d7b733086e0a7dbebc7218f80da53bd71646,Constraint patch matching for faster person re-identification,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 16ead73d29d0f9f99eeffe2ee4cf1f8fd1053459,Eye tracking for public displays in the wild,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, 16b0c171fb094f677fcdf78bbb9aaef0d5404942,Category-Specific Object Image Denoising,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA +163bcc83da66e29e764c762708e75e0df6a320ec,Non-parametric lane estimation in urban environments,"Faculty of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany","Faculty of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany","76131 Karlsruhe, Germany",49.01191990,8.41703030,edu, +16d7ca53474bf74cf242472a5cf7f427796fdd04,A novel infrared face recognition based on local binary pattern,China,China,China,35.86166000,104.19539700,edu, +167ef72a08832f02e0bb4bb60b61b44adca4f804,People tracking in multi-camera systems: a review,Toulon University,"SeaTech School, Toulon University, La Garde, France","École d’Ingénieurs SeaTech - Université de Toulon, Avenue de l'Université, 83130 La Garde, France",43.13643020,6.01254200,edu, +16ee8df3c0202a2756117ab0686cffda65362a4c,Magnify-Net for Multi-Person 2D Pose Estimation,Samsung Computer Vision Group Telecom R&D Center Beijing,Samsung Computer Vision Group Telecom R&D Center Beijing,"Beijing, China",39.90419990,116.40739630,edu, 16f0195a60ed55b5e1a955c420f94a99e5815258,Face Pose Estimation with Ensemble Multi-scale Model and Deep Learning,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 1609cab807f391fe744f089aefb647e482dc33a0,Bottom-up Recognition and Parsing of the Human Body,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 16fadde3e68bba301f9829b3f99157191106bd0f,Utility data annotation with Amazon Mechanical Turk,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +166aa92160f73201b3656a57f192a10685e9e759,Face recognition with continuous occlusion using partially iteratively reweighted sparse coding,China,China,China,35.86166000,104.19539700,edu, 16c6e567091d6eea117f50173f7c0e03c4e54ea0,Contextual Object Detection With Spatial Context Prototypes,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +16f79b8917f53eff7da88c6cde9300cff1572eb8,Face Hallucination Based on Key Parts Enhancement,"Noah's Ark Laboratory, 2012Labs Huawei Technologies Co., Ltd., Beijing, China","Noah's Ark Laboratory, 2012Labs Huawei Technologies Co., Ltd., Beijing, China","Beijing, China",39.90419990,116.40739630,edu, +16b5890dd6ec399a235d4ba13484fbdd4e4f5cd4,SegGAN: Semantic Segmentation with Generative Adversarial Network,China University of Petroleum,"College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China","China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49号潍坊学院经济管理学院附近",36.71684600,119.18339500,edu, 16fc82d44188eb49a151bd5836a29911b3bfabcb,Sparse Softmax Vector Coding Based Deep Cascade Model,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +169d37965bfb8ac1c1dcd502ab401c6cd0622251,New 2D pupil and spot center positioning technology under real — Time eye tracking,North China University of Technology,"Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, +166e5efacf632f18de3476cc5a942a20d017e68a,The eye says it all: Periocular region methodologies,"BMS College of Engineering, Bangalore, INDIA","BMS College of Engineering, Bangalore, INDIA","Bull Temple Road, Basavanagudi, Bengaluru, Karnataka 560019, India",12.94101220,77.56552580,edu, 1667b7c68e733f95f81c12e6cac73e5f659abca1,Distributionally Robust Games: Wasserstein Metric,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, +1606b1475e125bba1b2d87bcf1e33b06f42c5f0d,A convolutional neural network cascade for face detection,"Adobe Research, San Jose, CA 95110, USA","Adobe Research, San Jose, CA 95110, USA","345 Park Ave, San Jose, CA 95110, USA",37.33093070,-121.89404850,edu, +1617f56c86bf8ea61de62062a97961d23fcf03d3,Facial Similarity Learning with Humans in the Loop,China,China,China,35.86166000,104.19539700,edu, 16f2dca5fa64ce02da0d0c8daaeb2b2cbe405fd7,3D facial expression recognition using distance features and LBP features based on automatically detected keypoints,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, 160b6b8950a155b66ae772c90cccf642a99b1126,A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +1608572473465387e4ed7b95936ecf7fbd10513f,Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification,China,China,China,35.86166000,104.19539700,edu, 16f034d56a15f3b69e49b2b216bfb650582ef0a0,Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning Method,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 16b269d8185b6584f978d1170ef3540d24992243,A Novel Methodology to Label Urban Remote Sensing Images Based on Location-Based Social Media Photos,University of Iceland,University of Iceland,"Háskóli Íslands, Sturlugata, Háskóli, Reykjavík, Reykjavíkurborg, Höfuðborgarsvæðið, 121, Ísland",64.13727400,-21.94561454,edu, 16eaa26a84468b27e559215db01c53286808ec2a,MoFAP: A Multi-level Representation for Action Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -3054,12 +4369,18 @@ d32691ba18767cd7b41fc1dda81c6d6b3e07ac4b,Beyond Concept Detection: The Potential 64e471bc1bf422bd760a39203647dd6b3e83c1da,Learning figure-ground image segmentors by genetic programming,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, 64ec02e1056de4b400f9547ce56e69ba8393e2ca,Multi-RPN Fusion-based Sparse PCA-CNN Approach to Object Detection and Recognition for Robot-aided Visual System,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 64667791c1237d73e01103f0ea636b5fc7deba13,SFAVD: Sharif Farsi audio visual database,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, +6448acca3bf4d14ad44756974a6486a317095a54,Deep multi-instance learning for end-to-end person re-identification,China,China,China,35.86166000,104.19539700,edu, 64eebdafe5614e7271207047ce28a9c596a4d6e6,Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +64ca0dbe60bf8f8243fad73a2494c3fa7a2770e2,Classification of human age based on Neural Network using FG-NET Aging database and Wavelets,India,India,India,20.59368400,78.96288000,edu, +644806853043267daa5b6930182ad86bfdf07dd7,MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos,Yarmouk University,"Yarmouk University, Jordan","Shafiq Irshidat st، Irbid, Jordan",32.53775640,35.85531840,edu, 64b9675e924974fdec78a7272b27c7e7ec63a608,Depth-aware object instance segmentation,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, +6403707d95046655a7bb405cf7869bd3464074e3,Face detection by means of complex wavelet transforms and neural networks,"Elektronik Mühendisliği Bölümü Ankara Üniversitesi, Ankara, Türkiye","Elektronik Mühendisliği Bölümü Ankara Üniversitesi, Ankara, Türkiye","Bahçelievler Mahallesi, Ankara Ünv. 50. Yıl Kampüsü, 06830 Gölbaşı/Ankara, Turkey",39.78155630,32.82094530,edu, 64dac451ccb1b998f4dff1d35ccdd3936ea49e33,Fine-grained Video Retrieval using Query Phrases — Waseda_Meisei TRECVID 2017 AVS System —,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, 649d0aa1be51cc545de52fc584640501efdcf68b,Semantic Segmentation for High Spatial Resolution Remote Sensing Images Based on Convolution Neural Network and Pyramid Pooling Module,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 6481ca04cdfd7d37ee397783120d12ba27569cc3,Automatic Measurement of Venous Pressure Using B-Mode Ultrasound,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +6486a58f675461d1c9f42a39e942bf39f4427f7d,A study on various face detection techniques in real time video environment,India,India,India,20.59368400,78.96288000,edu, 6489ad111fee8224b34f99d1bcfb5122786508cd,Learning symmetric face pose models online using locally weighted projectron regression,Dalle Molle Instituite for Artificial Intelligence,"Dalle Molle Instituite for Artificial Intelligence (IDSIA), Lugano, Switzerland","Via Cantonale 2C, 6928 Manno TI, Switzerland",46.02619220,8.91848180,edu, +642f19468ecf21cf97227b0d50fc1098afb37140,Face recognition using augmented local binary pattern and Bray Curtis dissimilarity metric,India,India,India,20.59368400,78.96288000,edu, 64cf1cda80a23ed6fc1c8e66065614ef7bdeadf3,Probabilistic Models for Inference about Identity,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, c335a560a315de7cfeadf5b0b0febca837116988,Back to the future: A fully automatic method for robust age progression,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, c3ae4a4c9a9528791e36b64fea8d02b2fced7955,Automatic multiviewface detection and pose estimationfrom videos based on mixture-of-trees model and optical flow,Education University of Hong Kong,The Education University of Hong Kong,"香港教育大學 The Education University of Hong Kong, 露屏路 Lo Ping Road, 鳳園 Fung Yuen, 下坑 Ha Hang, 新界 New Territories, HK, DD5 1119, 中国",22.46935655,114.19474194,edu, @@ -3071,65 +4392,105 @@ c30fee3bc48240aebabc1617e00226ba5ca6aec7,Overview of Environment Perception for c370f762968f6379c2cda1e18e71334494aa3b72,Photo linker: a system for finding your old photos based on fragmentary memories,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, c3c463a9ee464bb610423b7203300a83a166b500,Transform-invariant dictionary learning for face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, c303dba374c094eebb7005724b76d33547ffd830,Membrane segmentation via active learning with deep networks,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +c3881cadbc5feef7acd0b38e321fd70d18ed6c48,Automatic 3D face recognition combining global geometric features with local shape variation information,China,China,China,35.86166000,104.19539700,edu, +c3203e18a11be454d3124748a48350f5b741722d,A framework for generating anatomically detailed subject-specific human facial models for biomechanical simulations,University of Auckland,"The University of Auckland, Auckland, New Zealand","Auckland 1010, New Zealand",-36.85233780,174.76910730,edu, c3f22eacd32db1a92c65f8eef9e79f4bded71904,Denoising Autoencoders for Laser-Based Scan Registration,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, c3c435e495cfca37828622262f997975ad6c7e4c,Visual object tracking via deep neural network,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, c3e9086c01cce306620f1968958bb16fd9c084a8,Pose Determination of a Robot Manipulator Based on Monocular Vision,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, +c3b768156bfedbce66fd08156fc74ede52f79239,A new approach for face recognition from video sequence,India,India,India,20.59368400,78.96288000,edu, +c38b1fa00f1f370c029984c55d4d2d40b529d00c,Neural Information Processing,University of Science Technology,"University of Science Technology, Wuhan, China","Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073",30.50896400,114.41057700,edu, c3d23ecf2132f61cd7a5dc0ebf11e3d6640e0e1a,A Progressive Vehicle Search System for Video Surveillance Networks,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +c3a9767797c58f3bbdcbf0cc950ec3e55de5827a,Shearlet Features for Pedestrian Detection,"ITK Engineering GmbH, Computer Vision Team, Lollar, Germany","ITK Engineering GmbH, Computer Vision Team, Lollar, Germany","Justus-Kilian-Straße 1, 35457 Lollar, Germany",50.64954000,8.70132000,company, +c39e7d03648c398e73e84bec1939660459b7c7e6,Passenger management system based on face recognition for intelligent transport vehicles,"Electronics and Telecommunications Research Institute, Daegu-Gyeongbuk Research Center, Republic of Korea","Electronics and Telecommunications Research Institute, Daegu-Gyeongbuk Research Center, Republic of Korea","1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea",35.22537080,126.84618340,edu, c3a20a5b67e478529a020dd1749fc52a2812f45b,Brain-Like Emergent Temporal Processing: Emergent Open States,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +c3941b5074a3c23ced4b3ff598653724ec7007f1,Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix,India,India,India,20.59368400,78.96288000,edu, c3f5ff55663cfd85841553e0159bf4bc41f899a6,Web-enhanced object category learning for domestic robots,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 2a23f3eb96cbfa22530d824cc8b112826cff294c,Point-based medialness for 2D shape description and identification,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +2a2deb5dd30a71ab6366dc737359604a9c8f76d5,Multi-view dimensionality reduction via subspace structure agreement,China,China,China,35.86166000,104.19539700,edu, 2a7058a720fa9da4b9b607ea00bfdb63652dff95,Continuous Probability Distribution Prediction of Image Emotions via Multitask Shared Sparse Regression,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 2a09be75ebe85f64a198d20766872c66cb2f00d6,Person Recognition at a Distance: Improving Face Recognition Through Body Static Information,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu, 2a69c47441b823ff589ff7cba0df623af31c77eb,Gaussian Mixture Model Mapping in face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +2a94265530b940b5516f431675f882f83581a745,Android application for complaining against the social issues,India,India,India,20.59368400,78.96288000,edu, +2af04f9bb4950afbde0060c347c0b4857ce8d3d6,Camera Pose Estimation Suitable for Smart Cameras,"Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France","Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France","24 Avenue des Landais, 63170 Aubière, France",45.76187990,3.11271330,edu, 2ab28b7ddcac3e1879d54d4fc83c5849b60acf79,Quantifying curb appeal,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, +2acd0c90d14bf5003975c5b2414400fb6e53cb44,Face pair matching with Local Zernike Moments and L2-Norm metric learning,"Bilgisayar Mühendisliği Bölümü, ˙Istanbul Teknik Üniversitesi","Bilgisayar Mühendisliği Bölümü, ˙Istanbul Teknik Üniversitesi","Maslak, 34467 Sarıyer/İstanbul, Turkey",41.10559410,29.02534010,edu, +2a65c3a5d19cd40c763daad7ec1d6842292f8379,Histogram of Radon Projections: A new descriptor for object detection,India,India,India,20.59368400,78.96288000,edu, 2a628cc59bf229979ba4cb2530a7bea320aa3dc3,Measuring the degree of face familiarity based on extended NMF,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 2a18e025c0c89c2dd94ee92b1e496767de8a3406,Video-based Emotion Recognition Using Multi-dichotomy RNN-DNN,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 2ab79698e74812142600f7e02315b9ac235a93ee,Person re-identification based on deep spatio-temporal features and transfer learning,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu, +2abd13f249d6483f1a433a4deb8c088d40c24586,Human gait recognition using relevance vector machine classifier,India,India,India,20.59368400,78.96288000,edu, 2a6b48e5c972355c9fb91988b324c2faf6bb1c5a,Fusion of Summation Invariants in 3D Human Face Recognition,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, +2aaaf36271ad9b5bab69a9d0cd8b28080b8b74d0,Pedestrians’ Receptivity Toward Fully Automated Vehicles: Research Review and Roadmap for Future Research,"the Crash Safety Research Center, LLC, East Hampton, CT, USA","the Crash Safety Research Center, LLC, East Hampton, CT, USA","201 W High St, East Hampton, CT 06424, USA",41.56811180,-72.53206600,edu, 2a92bda6dbd5cce5894f7d370d798c07fa8783f4,Class-Specific Kernel Fusion of Multiple Descriptors for Face Verification Using Multiscale Binarised Statistical Image Features,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +2acf8de76c3015914131938253fedfce110720ec,A new information fusion method for SVM-based robotic audio-visual emotion recognition,China,China,China,35.86166000,104.19539700,edu, +2a5dc32ba784ff30c73011414bfb679fbc203069,Analysis of SVM and kNN Classifiers For Egocentric Activity Recognition,Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu, +2ad9a264cd44f42a5eb0f928ac78ba15e0d1cc18,Alternating direction method based decoding for object recognition,"National Key Laboratory of Aerospace Intelligent Control Technology, Beijing, China","National Key Laboratory of Aerospace Intelligent Control Technology, Beijing 100854, P.R. China","Beijing, China",39.90419990,116.40739630,gov, +2a1b247b31d0b4baa5438ac502615152426165f7,An Improved Convolution Neural Network for Object Detection Using YOLOv2,China,China,China,35.86166000,104.19539700,edu, 2a7e6a1b2638550370a47f2f6f6e38e76fe9ac13,Multifeature Anisotropic Orthogonal Gaussian Process for Automatic Age Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2a4984fb48c175d1e42c6460c5f00963da9f26b6,Binary pattern flavored feature extractors for Facial Expression Recognition: An overview,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +2af06b88444cfabf92f54bcb3a31e9afd149ae69,Main objects interaction activity recognition in real images,China,China,China,35.86166000,104.19539700,edu, 2a98b850139b911df5a336d6ebf33be7819ae122,Maximum entropy regularized group collaborative representation for face recognition,Georgia Southern University,Georgia Southern University,"Georgia Southern University, Forrest Drive, Pine Cove, Statesboro, Bulloch County, Georgia, 30460, USA",32.42143805,-81.78450529,edu, -04a9de9df349ee0245a6abd08f4e458e65b1325d,Fast and Accurate Human Detection Using a Cascade of Boosted MS-LBP Features,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +04a9de9df349ee0245a6abd08f4e458e65b1325d,Fast and Accurate Human Detection Using a Cascade of Boosted MS-LBP Features,University of Technology,"Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia","Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia",-33.88405040,151.19922540,edu, 041b51a81a977b5c64682c55414ad8d165c1f2ce,Voice authentication embedded solution for secured access control,AGH University of Science and Technology,AGH University of Science and Technology,"AGH, Władysława Reymonta, Czarna Wieś, Krowodrza, Kraków, małopolskie, 30-059, RP",50.06570330,19.91895867,edu, 04a38470fe72ec113639749a2af5ff9024e62266,Robust Elastic-Net Subspace Representation,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, +04f56dc5abee683b1e00cbb493d031d303c815fd,Scene character recognition using PCANet,China,China,China,35.86166000,104.19539700,edu, 04f9dc91232c705a09ce69f588bd4cc0507ccf8f,Energy-Fluctuated Multiscale Feature Learning With Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 040bd69b800a8a169da02463e78504027a94cbe2,Automatic frontal view face image synthesis,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 04a87fbfa63f642f9c7326dd6cbc8b58b41b6841,Recognition of sign language subwords based on boosted hidden Markov models,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +04c5268d7a4e3819344825e72167332240a69717,Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition,"Military College of Signals. Rawalpindi, Pakistan","Military College of Signals. Rawalpindi, Pakistan","Adiala Road, Lalazar, Rawalpindi, Punjab 46000, Pakistan",33.57750660,73.06324680,edu, +04209fe08b6d4cb591effc5a18f4af4c9663a910,A two-stage human body detector on depth data,China,China,China,35.86166000,104.19539700,edu, +042f4315f757676c7a19281239d616523b0621f0,Locating Various Ship License Numbers in the Wild: An Effective Approach,Wenzhou University,"College of Physics and Electronic Information, Wenzhou University, Wenzhou, China","China, Zhejiang, Wenzhou, Lucheng, 民航路",28.00676000,120.67618600,edu, 047d3cb2a6a9628b28cac077b97d95b04ca9044c,A robust composite metric for head pose tracking using an accurate face model,University of the French West Indies,"Université des Antilles et de la Guyane (UAG), France","Fouillole, Pointe-à-Pitre 97157, Guadeloupe",16.22427240,-61.52893250,edu,University of the French West Indies 04e6afa6fad6a3c7182776231529e8d1ac98b558,i.Boosting for Image Classification,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 04d4dcc4b75ebaac6ec393eee57ae64b7931545b,Extending the Detection Range of Vision-Based Vehicular Instrumentation,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, 04926009741f2a62fc746fd01b1f8cc338f24336,Bilinear deep learning for image classification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +0486c77b8f251e8ae52f5ab6304288c1a8bcc48a,Spatial- Temporal Attention for Image Captioning,China,China,China,35.86166000,104.19539700,edu, 04275ff79937ae8c37a7c69fa6bf818d2eae6b8b,Fast human detection using mi-sVM and a cascade of HOG-LBP features,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +0489a21c77d1646ea3af48d678c3ad9645eef2a9,Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 046600fc88843159d5c53d089504b22f9876904d,An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 045011929b571b34e3df439ce67d0764c2578ecf,Linear discriminant feature selection techniques in elastic graph matching,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +045275adac94cced8a898a815293700401e9955f,Texture-independent recognition of facial expressions in image snapshots and videos,University of the Basque Country UPV/EHU,"University of the Basque Country UPV/EHU, San Sebastian, Spain","Alto de Zorroaga Bidea, s/n, 20014 Donostia, Gipuzkoa, Spain",43.29330980,-1.96707270,edu, 0437028464aae0237a292bb5317838b2bc6e1ce9,"Pedestrian detection based on appearance, motion, and shadow information",Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, +049186d674173ebb76496f9ecee55e17ed1ca41b,Inner Product Regularized Nonnegative Self Representation for Image Classification and Clustering,China,China,China,35.86166000,104.19539700,edu, 04c07ecaf5e962ac847059ece3ae7b6962b4e5c4,Multi-view common space learning for emotion recognition in the wild,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 048af40cbd0516eb935641065b2224f390731e2f,Strategies for anticipating risk in heterogeneous system design,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 040173a26e1dd6c7ab2e636e2ec3dbe0b1349986,Face processing in Pervasive Developmental Disorder (PDD): the roles of expertise and spatial frequency,Maastricht University,Maastricht University,"UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland",50.83367120,5.71589000,edu, +3812d8864b87b3c715fb59b501eaee0539be269e,Correlation-Based Tracker-Level Fusion for Robust Visual Tracking,India,India,India,20.59368400,78.96288000,edu, 38e7f3fe450b126367ec358be9b4cc04e82fa8c7,Maximal Likelihood Correspondence Estimation for Face Recognition Across Pose,"OMRON Corporation, Kyoto, Japan","Core Technology Center, OMRON Corporation, Kyoto, Japan","Kyoto, Kyoto Prefecture, Japan",35.01163630,135.76802940,company, 38b61bb76131659916c50f4f7926f4d225076f1d,Detecting riots using action localization,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu, 384887c893c72f1bb19075f03e20490ab003c791,Effective object detection from traffic camera videos,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 383bed81e8c96e263ba6519a69587fb7ffd64216,Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 38a9d62814b14076a9a6ec9b7d285adfefe48537,Discriminant adaptive edge weights for graph embedding,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 38079a7f127ee9279ac99c4e18f87e80777cc895,Multiobject tracking as maximum weight independent set,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, +38f1d8d25c0332798e0929594af2c43092d2c5c8,Face recognition via fast dense correspondence,China,China,China,35.86166000,104.19539700,edu, +384b21d51dd466517f5ced3a59b997ddea10aa42,Semantic Stixels: Depth is not enough,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 387b54cf6c186c12d83f95df6bd458c5eb1254ee,Deep probabilities for age estimation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +38f294ae53862f98a3e34818c1e86f689dc8723e,A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale,China,China,China,35.86166000,104.19539700,edu, 38fe30323a12b211fe28e91babb8a946308fdc5a,Likelihood-Field-Model-Based Dynamic Vehicle Detection and Tracking for Self-Driving,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 38df535ea9fffafc17c001a424b8aa70cfa2be1d,Discriminative Patch Selection using Combinatorial and Statistical Models for Patch-Based Object Recognition,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, +3877e8c9ccb2d9186d619b7827f1184138d1a837,Real-time running detection from a moving camera,China,China,China,35.86166000,104.19539700,edu, 3888d7a40f3cea5e4a851c8ca97a2d7810a62867,A new margin-based AdaBoost algorithm: Even more robust than RobustBoost to class-label noise,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, 38198502b6579354931bfa35e88dba6df806721c,Intermediate layer optimization of HMAX model for face recognition,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, +38bb66c97b35851051e95834639c205254771adc,Facial expression recognition using feature based techniques and model based techniques: A survey,India,India,India,20.59368400,78.96288000,edu, +383a9bf5fc7ce9ca9e454a7e044ff0af4495b8da,On performance evaluation of face detection and localization algorithms,"Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland","Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland","Route Cantonale, 1015 Lausanne, Switzerland",46.51905570,6.56675760,edu, ccb95192001b07bb25fc924587f9682b0df3de8e,Head pose estimation for recognizing face images using collaborative representation based classification,"IIEST Shibpur, India","Computer Science and Technology, IIEST, Shibpur","P.O. - Botanic Garden, Howrah, West Bengal 711103, India",22.55518080,88.30713790,edu, ccdbc6dbef24e9846bd8c845a97fa70c97cf5866,MPL-Boosted Integrable Features Pool for pedestrian detection,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, cc5edaa1b0e91bc3577547fc30ea094aa2722bf0,"The design, implementation and evaluation of a relaxation service with facial emotion detection",Shibaura Institute of Technology,Shibaura Institute of Technology,"芝浦工業大学 豊洲キャンパス, 晴海通り, 豊洲2, 豊洲, 富岡一丁目, 江東区, 東京都, 関東地方, 135-6001, 日本",35.66053325,139.79503121,edu, +ccca2263786429b1b3572886ce6a2bea8f0dfb26,Improved nuisance attribute projection for face recognition,"Technology Section, Israel National Police, Jerusalem, Israel","Technology Section, Israel National Police, Jerusalem, Israel","Jerusalem, Israel",31.76831900,35.21371000,edu, cc2a9f4be1e465cb4ba702539f0f088ac3383834,Automated recognition of complex categorical emotions from facial expressions and head motions,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, cc8c5f23038663abf98874612a8b7a1bb000b990,Building Evaluation Functions for Chess and Shogi with Uniformity Regularization Networks,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, ccfaddc870dec71195b2d733f0901195d03aa251,Hierarchical detection of persons in groups,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu, +ccf4049dbb61de4e2f8ef918b8f639b148109e65,Distributed data association in smart camera networks using belief propagation,Beijing University of Aeronautics and Astronautics,"Beijing University of Aeronautics and Astronautics, Beijing, China","Xiaoyuan N Rd, WuDaoKou, Haidian Qu, Beijing Shi, China",39.98449200,116.34817500,edu, cc6983184d5a1ae077deab222ecd381cd44410ea,Adaptive visual tracking with reacquisition ability for arbitrary objects,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, cceec87bad847b9b87178bde8ce5cce6bf1a8e99,Robust face recognition via transfer learning for robot partner,"University of Malaya, Kuala Lumpur","Faculty of Computer Science & Information Technology University of Malaya Kuala Lumpur, Malaysia","University of Malaya, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia",3.12821340,101.65069480,edu, +ccc51e8b608213fe126b1d2469cb72de0331498d,Global and Local Consistent Age Generative Adversarial Networks,China,China,China,35.86166000,104.19539700,edu, cc1ed45b02d7fffb42a0fd8cffe5f11792b6ea74,Analysis of the effect of image resolution on automatic face gender and age classification,"TOBB Economy and Technology University, Ankara, Turkey","Bilgisayar Mühendisliği Bölümü, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye","Söğütözü Mahallesi, Söğütözü Cd. No:43, 06510 Çankaya/Ankara, Turkey",39.92130970,32.79882330,edu, +cccd0edb5dafb3a160179a60f75fd8c835c0be82,Extraction of texture and geometrical features from informative facial regions for sign language recognition,India,India,India,20.59368400,78.96288000,edu, cc5d9fc3f20037d4822bacd6898e761e7aa37dc2,A Novel Fine-Grained Method for Vehicle Type Recognition Based on the Locally Enhanced PCANet Neural Network,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, ccb27d726c0b799e800a63eac18a33bf262852aa,Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, cc78b2d4d0f756941356074bb17e8e94f7108eae,A threat-detection advantage in those with autism spectrum disorders,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu, +cc4a90ec7c9d964f3b6dd2505ccba3da2ed29474,Regional multi-focus image fusion using clarity enhanced image segmentation and sparse representation,China,China,China,35.86166000,104.19539700,edu, +cc1241ed81692c62e461e745460693a04f7237b4,Biogeography particle swarm optimization based counter propagation network for sketch based face recognition,India,India,India,20.59368400,78.96288000,edu, ccebd3bf069f5c73ea2ccc5791976f894bc6023d,Face detection based on deep convolutional neural networks exploiting incremental facial part learning,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, cc5071eec5f3d78053aac92e15e88209a0b08fac,Mathematical models database (MMD ver. 1.0) non-commercial proposal for researchers,Poznan University of Technology,Poznan University of Technology,"Dom Studencki nr 3, 3, Kórnicka, Święty Roch, Rataje, Poznań, wielkopolskie, 61-141, RP",52.40048370,16.95158083,edu, cc70fb1ab585378c79a2ab94776723e597afe379,Detect face in the wild using CNN cascade with feature aggregation at multi-resolution,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu, @@ -3142,36 +4503,63 @@ a192845a7695bdb372cccf008e6590a14ed82761,A Novel Local Pattern Descriptor—Loca a13dc9739e4637599359d792fd60d511ab8a016e,Robust visual inertial odometry using a direct EKF-based approach,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, a1a4059c05fef739b5ede0e77ad4a90acf085e38,Advances in Brain Inspired Cognitive Systems,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, a19a5a604e07c525f9a8969c05f1c9ed5b497053,Person re-identification across multi-camera system based on local descriptors,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +a11ce3c9b78bf3f868b1467b620219ff651fe125,Semi-supervised Identification of Rarely Appearing Persons in Video by Correcting Weak Labels,"German National Library of Science and Technology & Leibniz Universität Hannover, Hannover, Germany","German National Library of Science and Technology & Leibniz Universität Hannover, Hannover, Germany","TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany",52.38151500,9.72017100,edu, a168ca2e199121258fbb2b6c821207456e5bf994,"Continuous AU intensity estimation using localized, sparse facial feature space",University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, a107250d3568e5ac7a7504f04b1154da8e9892ba,Multitask Autoencoder Model for Recovering Human Poses,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +a176e44cdee30d69732c331de8aba436194a2dd6,Integrating appearance features and soft biometrics for person re-identification,China,China,China,35.86166000,104.19539700,edu, a1e07c31184d3728e009d4d1bebe21bf9fe95c8e,"On looking at faces in an automobile: Issues, algorithms and evaluation on naturalistic driving dataset","University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, a1abafcb88d668495b6ac0599382bfb26031b8a1,Improved human interaction in telepresence robot using real-time face segmentation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, a13f52f596deb76aa67525f76dad8f23aa84e7c3,A Speed-Up Scheme Based on Multiple-Instance Pruning for Pedestrian Detection Using a Support Vector Machine,Meiji University,Meiji University,"明治大学, 錦華坂, 猿楽町1, 猿楽町, 東京, 千代田区, 東京都, 関東地方, 101-0051, 日本",35.69750290,139.76139175,edu, a12949e11458a4c9433789940afe51411c18cdd8,Dense 3D Semantic SLAM of traffic environment based on stereo vision,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, +a1c7568f4757ecb25831e7528316e13731d819fc,Real-time method for general road segmentation,PSL Research University,"MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France","60 Boulevard Saint-Michel, 75006 Paris, France",48.84496370,2.33961050,edu, +a1f1a06b840558c4433f0e06a4e9172539469e21,Enhancing Visual Question Answering Using Dropout,Chinese Academy of Sciences & University of Chinese Academy of Sciences,"Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","Haidian, China, 100080",39.98019600,116.33330500,edu, +5b809871a895ea8422afc31c918056614ea94688,Facial emotion recognition using deep convolutional networks,Shahrood University of Technology,"Shahrood University of Technology, Shahrood, Iran",استان سمنان، شاهرود، خیابان دانشگاه، Iran,36.39347730,54.94178380,edu, 5bb92336195e51ec1b22e5e67a0aaf2964df2513,A high performance FPGA-based accelerator for large-scale convolutional neural networks,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +5be6226f1fa0c3a6f5be829b00f484582d531b6f,Online multi-model particle filter-based tracking to study bedload transport,"Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France","Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France","Université Grenoble Alpes, 1491 Rue des Résidences, 38610 Saint-Martin-d'Hères, France",45.19061570,5.77493560,edu, 5ba7ccde201b9199b2fcbb37b604a99d8d760008,Evaluating the Performance of ResNet Model Based on Image Recognition,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 5bf1b3deb467eb2fa0fa2db3d11b9a0784cfd2fb,An Adaptive Background Modeling Method for Foreground Segmentation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 5b3f94200bbe38e1115e9ad11a5f5707a7904732,Self-paced least square semi-coupled dictionary learning for person re-identification,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +5bb78acceaa89675ca777f6c8071bf6ac9987e1d,A novel method for example-based face super-resolution,China,China,China,35.86166000,104.19539700,edu, +5b336b0f258ad449c4fab155c80e98a18bf13cbc,A morphological approach to detect human in video,India,India,India,20.59368400,78.96288000,edu, 5b1780b24d82b9b93ed2c67d41885a2e7b6363f5,Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +5b7b9dacba6aa8a1967eed630145e77695c75590,"Kinship verification from faces: Methods, databases and challenges","Telecom laboratory, Centre de Développement des Technologies Avancées, Algeria","Telecom laboratory, Centre de Développement des Technologies Avancées, Algeria","haouch oukil، Cité 20 aout 1956 Baba Hassen 5 juillet 1962، Alger 16303, Algeria",36.68948700,2.98187700,edu, 5b64584d6b01e66dfd0b6025b2552db1447ccdeb,Deep expectation for estimation of fingerprint orientation fields,"Dermalog Identification Systems, Hamburg, Germany","Dermalog Identification Systems GmbH, Hamburg, Germany","Mittelweg 120, 20148 Hamburg, Germany",53.57227000,9.99472000,company, 5b9ae36868ad04f8eec4b51c425ea987ef74caaf,3D face authentication and recognition based on bilateral symmetry analysis,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +5b36c2877e36e0d5b1b1d9ee98727c8c65239a2b,Image retrieval by dense caption reasoning,China,China,China,35.86166000,104.19539700,edu, 5b4ca29fd32b2d11b0e5ea7efbc34a34023915e2,Trace based phase prediction for tightly-coupled heterogeneous cores,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 5b4ecdb48673a29bdff063131002285b3bb0400b,Multi-view 3D face reconstruction with deep recurrent neural networks,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +5b603e8303a28473ae31b2b425b624390a5cca26,A novel design for face recognition system using Dual Tree Complex Wavelet Transform,India,India,India,20.59368400,78.96288000,edu, 5b4bbba68053d67d12bd3789286e8a9be88f7b9d,An automatic region based methodology for facial expression recognition,University of Ioannina,University of Ioannina,"Πανεπιστήμιο Ιωαννίνων, Πανεπιστημίου, Κάτω Νεοχωρόπουλο, Νεοχωρόπουλο, Δήμος Ιωαννιτών, Π.Ε. Ιωαννίνων, Περιφέρεια Ηπείρου, Ήπειρος - Δυτική Μακεδονία, 45110, Ελλάδα",39.61623060,20.83963011,edu, 5bc7a664f7c7155bd1c2da0939d04231f230c4c6,Fast Parameter Adaptation for Few-shot Image Captioning and Visual Question Answering,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 5b705232a9ab0a91030abf0aef2464a74c9eeb0f,Computer Vision – ECCV 2016,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +5bf85a60cf7506b0c14d484a2a50f553ae9a45a9,Conditional Expression Synthesis with Face Parsing Transformation,China,China,China,35.86166000,104.19539700,edu, 5bed2453a5b0c54a4a4a294f29c9658658a9881e,Angular-Similarity-Preserving Binary Signatures for Linear Subspaces,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 5b3950d447f596f996cdac5ab3bd37bfdb9014db,Multi-Camera Saliency,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +5bdb621ae5eab5d64ae4984ab0e6e74a1b4b7a57,Retinal verification using point set matching,India,India,India,20.59368400,78.96288000,edu, d9eed86e53ce5f7cba379fe77bbefb42e83c0d88,Implicit Block Diagonal Low-Rank Representation,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +d9c665bad8ba68e8ef9537a86346f2942d78b84d,Estimation of influence quantities in face recognition,University of Salerno,"Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy","Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy",40.76871180,14.79201790,edu, +d90367a57012edb08c4a23e376955197439120a4,"Matryoshka Peek: Toward Learning Fine-Grained, Robust, Discriminative Features for Product Search",China,China,China,35.86166000,104.19539700,edu, d903292dc4e752f6a3bf2abe668d17a2575044d4,Bo(V)W models for object recognition from video,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, d9dc41d3bc92e194c5a881ee9d741f898310ce9e,Two-Stream Transformer Networks for Video-Based Face Alignment,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +d97094aafbcec8e4cb63098b42a7553ffd2cb854,Human Re-Identification,"Siemens Corporate Research, Plainsboro, USA","Siemens Corporate Research, Plainsboro, USA","755 College Rd E, Princeton, NJ 08540, USA",40.34420790,-74.59245990,edu, +d99743ab1760b09b1bb88bc6e1dc5b9d0e48baac,Facial emotion analysis using deep convolution neural network,India,India,India,20.59368400,78.96288000,edu, +d900842af0542c283fbeadeec9905922c566e7c2,Image betrayal checking based on organization’s watermarking in Internet,Wuhan Textile University,"College of Mathematics & Computer Science, Wuhan Textile University, Wuhan, China","1 Fangzhi Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073",30.48573100,114.39829700,edu, +d93de169020b6b1698717d598d84c562534eaa00,Mining images for image annotation using SURF detection technique,India,India,India,20.59368400,78.96288000,edu, d9d799bd6cc5289dd28fa9c0087c963f7bdb3485,Echocardiogram localization using barycentric interpolation,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, d9e66b877b277d73f8876f537206395e71f58269,Learning Stacked Image Descriptor for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +d91c04b567909fbc9995c1b60800aba584606a72,Progressive Visual Object Detection with Positive Training Examples Only,Finland,Finland,Finland,61.92411000,25.74815110,edu, d9bb41ec9d8742eb77ce38e4bfdc9b8371f275cf,Robust graph SLAM back-ends: A comparative analysis,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +d9e99cdc42bafd9f57485a1cd74bafea9f9f074c,Fully automatic 3D facial expression recognition using differential mean curvature maps and histograms of oriented gradients,"LIFL, France","LIFL, Télécom Lille 1, UMR USTL/CNRS 8022, France","42 Rue Paul Duez, 59000 Lille, France",50.63165620,3.07520350,edu, d9877f4744993c6680d61bdeaef2dc4f5aae971f,Dual Structure Constrained Multimodal Feature Coding for Social Event Detection from Flickr Data,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, +d913c573a5ad25098bbca39a0d86e3b65ed4b6a0,Partially occluded object detection by finding the visible features and parts,"Honda Research Insitute, USA","Honda Research Insitute, USA","1381 Kinnear Rd, Columbus, OH 43212, USA",39.99800050,-83.04572230,edu, +d9c5b08d51d1a08aa96e3577c5895fc224470d40,Bus scheduling method based on image texture and color analysis,China,China,China,35.86166000,104.19539700,edu, d91f9e8cbf271004ef1a293401197a10a26ccd1b,Facial action units detection by robust temporal features,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu, +d9a4bcac04a4c0785adaae9803f53e9bd1f4ee72,Co-training of feature extraction and classification using partitioned convolutional neural networks,Pennsylvania State University,Pennsylvania State University,,,,edu, d9218c2bbc7449dbccac351f55675efd810535db,Feature selection for facial expression recognition,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, +d91a5589fd870bf62b7e4979d9d47e8acf6c655d,Face recognition method based on dynamic threshold local binary pattern,China,China,China,35.86166000,104.19539700,edu, +d950a5293f68cab6602510261e858643fd7f1966,Luminance Sticker Based Facial Expression Recognition Using Discrete Wavelet Transform for Physically Disabled Persons,University Malaysia Perlis,"University Malaysia Perlis, Kangar, Malaysia","Jalan Wang Ulu Arau, Sg. Chuchuh, 01000 Kangar, Perlis, Malaysia",6.46223470,100.16462940,edu, da633d1d43a7c5ea2c505e6902a7cf3d9da2a0f8,Multispectral pedestrian detection based on deep convolutional neural networks,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +dacf0682d0a58af9b5dcfe15243f30aaa2d94a34,Joint Individual-Group Modeling for Tracking,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, da50fc942b1edc535ca69f1b922e856620aacebc,Learning-by-synthesis for accurate eye detection,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, dabf0d227e724bbcbc44d959e0ac0724a564a128,Fast and robust self-training beard/moustache detection and segmentation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, da11564599083db6e423e99d6b3ac1fd34771b9a,Combining isophote and cascade classifier information for precise pupil localization,"Institute of Industrial Information Technology (IIIT), Karlsruhe Institute of Technology (KIT), 76187 Karlsruhe, Germany","Institute of Industrial Information Technology (IIIT), Karlsruhe Institute of Technology (KIT), 76187 Karlsruhe, Germany","76131 Karlsruhe, Germany",49.01191990,8.41703030,edu, @@ -3179,25 +4567,33 @@ da79aa36f748e3783cd11c3b0e02ae4f2e79e89c,Segment an image by looking into an ima dad6b36fd515bda801f3d22a462cc62348f6aad8,Gait-based age estimation using a whole-generation gait database,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, dac8fc521dfafb2d082faa4697f491eae00472c7,Learning to Generate and Edit Hairstyles,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, dac34b590adddef2fc31f26e2aeb0059115d07a1,House in the (Biometric) Cloud: A Possible Application,Sapienza University of Rome,Sapienza University of Rome,"Piazzale Aldo Moro, 5, 00185 Roma RM, Italy",41.90376260,12.51443840,edu, +da2d7ca77376b90a79287a517f596af628c8f488,The development trend of evaluating face-recognition technology,China,China,China,35.86166000,104.19539700,edu, da1477b4a65ae5a013e646b57e004f0cd60619a2,Nose tip detection from 3D facial mesh data using a rotationally invariant local shape descriptor,Sungkyunkwan University Suwon,"Computer Vision Lab, Sungkyunkwan University Suwon, South Korea","25-2 Sungkyunkwan-ro, Myeongnyun 3(sam)ga-dong, Jongno-gu, Seoul, South Korea",37.58822700,126.99360600,edu, +da9d71087025ca20fe0259b9aabf803e9d556160,Motion priors based on goals hierarchies in pedestrian tracking applications,"Centro de Investigación en Matemáticas (CIMAT A.C.), Guanajuato, Mexico","Centro de Investigación en Matemáticas (CIMAT A.C.), Guanajuato, Mexico","Callejón Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico",21.04205500,-101.26120280,edu, dac6e9d708a9757f848409f25df99c5a561c863c,SVD Face: Illumination-Invariant Face Representation,"Samsung SAIT, Korea","Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea","130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea",37.25202260,127.05550190,company, da7bbfa905d88834f8929cb69f41a1b683639f4b,Discriminant analysis with Gabor phase for robust face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, da578542356d83fbe21a1ea89855bb0a02bdeb26,The art of pervasive eye tracking: unconstrained eye tracking in the Austrian Gallery Belvedere,University of Vienna,University of Vienna,"Uni Wien, 1, Universitätsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, Österreich",48.21313020,16.36068653,edu, dae315b084b9164ac68da26aaa73de877f73f75c,A Unified Framework for Multimodal Domain Adaptation,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, dadfa5bebaec79a378e3c260d6c5c415f82bb5d1,R 2 SDH: Robust Rotated Supervised Discrete Hashing,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, dab134705fc67f560b4276a39a8219ed0b3d572e,Indoor Scene Understanding with Geometric and Semantic Contexts,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +813cc31130ceab1668da1ac6646eea4b6a4be6b6,A new deep representation for large-scale scene classification,China,China,China,35.86166000,104.19539700,edu, 8184a92e1ccc7fdeb4a198b226feb325c63d6870,Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods,"Fotonation LTD, Galway, Ireland","Fotonation LTD, Galway, Ireland","Galway, Ireland",53.27066800,-9.05679050,company, +819c93dfe531ad6aba71cd48942c9e07b7a89b1b,Face parts importance in face and expression recognition,"Slovak University of Technology, Bratislava","Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19 Bratislava, Slovak Republic","Ilkovičova 2961/3, 841 04 Karlova Ves, Slovakia",48.15185320,17.07334460,edu, 81d81a2060366f29fd100f793c11acf000bd2a7f,Facial expression recognition based on rough set theory and SVM,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, 81f52fef843df38fb22fdbdf26da18f9123712b3,Gait collector: An automatic gait data collection system in conjunction with an experience-based long-run exhibition,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 8173c811950c1c357253b3ed7c9afbb21ce6874a,A comparison between hybrid models for classifying Bangla isolated basic characters,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, +81af86e3d343a40ce06a3927b6aa8c8853f6811a,MUSA: a banana database for ripening level determination,India,India,India,20.59368400,78.96288000,edu, 81f101cea3c451754506bf1c7edf80a661fa4dd1,Exploiting sparsity and co-occurrence structure for action unit recognition,"Affectiva, Inc.","Affectiva Inc., Waltham, MA, USA","294 Washington St, Boston, MA 02108, USA",42.35730460,-71.05824150,company,MIT spinoff 8172af5b5ebc0da8c0b1b0e7fa967f9a1bebe646,Multitarget Tracking via Mixed Integer Optimization,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, -81b8a6cabcd6451b21d5b44e69b0a355d9229cc4,Low-rank and sparse matrix recovery based on a randomized rank-revealing decomposition,Pontifical Catholic University of Rio de Janeiro,"Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente 225, Gávea, Brasil","R. Marquês de São Vicente, 225 - Gávea, Rio de Janeiro - RJ, 22451-045, Brazil",-22.97910740,-43.23308250,edu, +81b8a6cabcd6451b21d5b44e69b0a355d9229cc4,Low-rank and sparse matrix recovery based on a randomized rank-revealing decomposition,Pontifical Catholic University of Rio de Janeiro,Pontifical Catholic University of Rio de Janeiro,"R. Marquês de São Vicente, 225 - Gávea, Rio de Janeiro - RJ, 22451-900, Brazil",-22.97910740,-43.23308250,edu, 81eae59b7462824040198b7be94df4f916024a4b,Brand-Aware Fashion Clothing Search using CNN Feature Encoding and Re-ranking,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 81a80b26979b40d5ebe3f5ba70b03cb9f19dd7a5,Histogram equalized deep PCA with ELM classification for expressive face recognition,Khon Kaen University,Khon Kaen University,"มหาวิทยาลัยขอนแก่น, 4, บ้านหนองหัวช้าง, ขอนแก่น, จังหวัดขอนแก่น, 40002, ประเทศไทย",16.46007565,102.81211798,edu, 8152c2edf74676675552a91c9d5b115c349598b1,HDPA: Hierarchical deep probability analysis for scene parsing,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 81513764b73dae486a9d2df28269c7db75e9beb3,Learning Bases of Activity for Facial Expression Recognition,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +811c4c1647bbe6c048b61ab3611bd10c2d1f5ebc,Dynamic management of a partial reconfigurable hardware architecture for pedestrian detection in regions of interest,"LE2I Laboratory. Univ. Bourgogne Franche Comté, F21000, Dijon, France","LE2I Laboratory. Univ. Bourgogne Franche Comté, F21000, Dijon, France","UFR Sciences et Techniques, allée Alain Savary, 21000 Dijon, France",47.31256900,5.07361200,edu, 817502a2b3d7db07f89158ce2996a9e4bc433a8b,RefineNet: Refining Object Detectors for Autonomous Driving,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +81094f1b736cedc19597f88de6c1b722a453b1d7,Graph mining for object tracking in videos,"Alcatel-Lucent Bell Labs, Centre de Villarceaux, Nozay, France","Alcatel-Lucent Bell Labs, Centre de Villarceaux, Nozay, France","7 Route de Villejust, 91620 Nozay, France",48.66733320,2.23755910,company, +8106f23890cfd7c7e3d023a3f9acabbfca36c7ef,Efficient face recognition using shifted phase-encoded fringe-adjusted joint transform correlator,University of South Alabama,University of South Alabama,"307 N University Blvd, Mobile, AL 36688, USA",30.69594060,-88.18423600,edu, 817f38e6e9844d4513047916fe88561a758846e7,2D-to-3D image conversion by learning depth from examples,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 8176e3aea16595b3fe6afdb6c745c9eca98ece06,The Helping Hand: An Assistive Manipulation Framework Using Augmented Reality and Tongue-Drive Interfaces,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 81a4397d5108f6582813febc9ddbeff905474120,Unsupervised automatic attribute discovery method via multi-graph clustering,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, @@ -3206,7 +4602,10 @@ dab134705fc67f560b4276a39a8219ed0b3d572e,Indoor Scene Understanding with Geometr 81485efc5ac4e9b78c344762dca4aef8cf383e5c,Improved 3D lighting environment estimation for image forgery detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 8127b7654d6e5c46caaf2404270b74c6b0967e19,Computer Expression Recognition Toolbox,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 81bae1505b1d404cecebb9e1b17162ac124cf4e8,Improved saliency detection based on Bayesian framework for object proposal,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +8161b85a9d4593bc58f225a3aa29eb9e3f59f652,Human shape recognition using radon transform and regularized principal component,"Universiti Teknologi MARA, Selangor, MALAYSIA","Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, MALAYSIA","Jalan Ilmu 1/1, Universiti Teknologi Mara, 40450 Shah Alam, Selangor, Malaysia",3.07335600,101.49771890,edu, +8145b0fafd5b91d38d49d1f81f2f3fc251de2433,Demo: Real-time contour-based pedestrian detection,"AIT Austrian Institute of Technology, Vienna, Austria","AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, 1220 Vienna, Austria","2444 Seibersdorf, Austria",47.97772440,16.50834750,edu, 81d232e1f432db7de67baf4f30f240c62d1a9055,Improving human action recognitionby temporal attention,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +81d0815a09b6c73ddb68c96efbdaf3f92968eb1f,Tag completion based on belief theory and neighbor voting,"Ecole Centrale Paris, Antony, France","Ecole Centrale Paris, Antony, France","3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France",48.70875900,2.16400600,edu, 813dc79f5f439050d68c923a410940d0d139ceb2,Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu, 8185be0689442db83813b49e215bf30870017459,Feature Learning for Image Classification Via Multiobjective Genetic Programming,University of Sheffield,The University of Sheffield,"University of Sheffield, Portobello, Port Mahon, Saint George's, Sheffield, Yorkshire and the Humber, England, S1 4DP, UK",53.38152480,-1.48068143,edu, 41455b578f593d840f6a942cad0dd52212fec0fc,Infrastructure-based calibration of a multi-camera rig,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, @@ -3214,34 +4613,52 @@ dab134705fc67f560b4276a39a8219ed0b3d572e,Indoor Scene Understanding with Geometr 41c42cb001f34c43d4d8dd8fb72a982854e173fb,Evolutionary Cross-Domain Discriminative Hessian Eigenmaps,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 418d12dfcf5a2a5de898ac9728043448a85b9e71,Pose-robust feature learning for facial expression recognition,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, 41cfc9edbf36754746991c2a1e9a47c0d129d105,Perspective-aware manipulation of portrait photos,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, +41a21f4b272a33e71b73e2d533e0d86875aecac9,Video similarity search by using compact representations,"École d'Ingénieur Généraliste en Informatique et Technologies du Numérique (EFREI), France","École d'Ingénieur Généraliste en Informatique et Technologies du Numérique (EFREI), France","30-32 Avenue de la République, 94800 Villejuif, France",48.78873370,2.36373270,edu, 415ce470a3c5f78bac68d945af5805a1c8ab86bd,On the learning machine for three dimensional mapping,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 418f96729f68fdd5a8e206248a2fe180672f9de2,Sparse representations based distributed attribute learning for person re-identification,Brunel University,Brunel University,"Brunel University London, The Strip, Hillingdon, London, Greater London, England, UB8 3PH, UK",51.53255315,-0.47399356,edu, 417c2fa930bb7078fdf10cb85c503bd5270b9dc2,Low-resolution video face recognition with face normalization and feature adaptation,Fraunhofer,"Fraunhofer IOSB, Fraunhoferstrasse 1, 76131 Karlsruhe, Germany","Fraunhoferstraße 1, 76131 Karlsruhe, Germany",49.01546000,8.42579990,company, 41272037f6a7a4058f9c52843b9025b7b3cd13a9,Nonnegative matrix factorization with Hessian regularizer,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +410bc0b3bd82c85c98df71ec0cfe995f14621077,Erratum to: Relative manifold based semi-supervised dimensionality reduction,"Shenzhen Key Laboratory of High Performance Data Mining, Shenzhen, China","Shenzhen Key Laboratory of High Performance Data Mining, Shenzhen, China","Shenzhen, Guangdong, China",22.54309600,114.05786500,company, +4143292a7544bce8c275b5f9a118268dfd3db950,Scene guided colorization using neural networks,China,China,China,35.86166000,104.19539700,edu, 4170882122b559fc39ab3eafd66babe2429ba858,Description generation of open-domain videos incorporating multimodal features and bidirectional encoder,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +41c8e222ebb26e72050f5d26c82f25d7618b700f,Automatic human facial expression recognition using Hidden Markov Model,India,India,India,20.59368400,78.96288000,edu, 41562c2982e1e32acd8283571c7b1f3d6bc36fd3,Keypoint induced distance profiles for visual recognition,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +412ab6f96f0dd928e158d07aefb391926b3d1a82,Symmetry description and face recognition using face symmetry based on local binary pattern feature,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, +4137c8f2adfd3129d02e82a760ea4fcb2011b31d,Re-ranking for person re-identification,University of Information Technology VNU-HCM,"Multimedia Communications Laboratory, University of Information Technology VNU-HCM, Ho Chi Minh City Vietnam","Khu phố 6 P, Vietnam",10.87030000,106.80345130,edu, +41f195f421b548357088c2985077d6b14003ce7e,Expression-independent face recognition based on higher-order singular value decomposition,China,China,China,35.86166000,104.19539700,edu, 413f4e770cd05fb382d8ceb4f33cd2726f34b9b3,Multi-person tracking by discriminative affinity model and hierarchical association,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +417911ca5363d74b0eec6b5328fb4f4cd3ec043c,The Real-Time Detection and Prediction Method for Ballistic Aircraft Based on Distributed Sensor Networks,China,China,China,35.86166000,104.19539700,edu, +411eb3c02c676b80aabb9c1455cb581320834e38,A SFM-based sparse to dense 3D face reconstruction method robust to feature tracking errors,China,China,China,35.86166000,104.19539700,edu, +41e6160f79940d797c420e0e6d5aba90091553b1,License plate recognition using MSER and HOG based on ELM,China,China,China,35.86166000,104.19539700,edu, 418154a73f02b11c6759b8101084aab9d4536b6d,Extended collaborative neighbor representation for robust single-sample face recognition,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, 41df6b9618bd930d6bf2c4704ff123b5fa5dcb2a,Pain expression as a biometric: Why patients' self-reported pain doesn't match with the objectively measured pain?,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, +41399dac2075aa82421c8603edb29427da3a6166,A novel night vision image color fusion method based on scene recognition,China,China,China,35.86166000,104.19539700,edu, 410eb51d63a3d6196ca9cab812f3233f00ab5906,Pain level estimation in video sequences of face using incorporation of statistical features of frames,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, e790a2538579c8e2ef9b314962ab26197d6664c6,A jointly local structured sparse deep learning network for face recognition,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, +e7b7df786cf5960d55cbac4e696ca37b7cee8dcd,A sparse kernel representation method for image classification,China,China,China,35.86166000,104.19539700,edu, e7ad31d5dfbf2d726fe53f1367b45b7174aa4b62,Comments on the “Kinship Face in the Wild” Data Sets,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, e7713751e08a6e837a4b9bcd766b021ee5c15502,Integrated real-time object detection for self-driving vehicles,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, +e76704e56ba5f485499ddfdfbed7088609e45766,Human detection model using feature extraction method in video frames,University of Technology,"Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia","Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia",-33.88405040,151.19922540,edu, e75a589ca27dc4f05c2715b9d54206dee37af266,Multiscale Deep Alternative Neural Network for Large-Scale Video Classification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, e7b6b6c7311813b69316eafa38f92bef2dcea13f,A brief review on visual tracking methods,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e76dd43bfc3555c005aa5d725a226c9bf4b6bf6a,Hallucination of super-resolved face images,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, e7647e094183e5b37e4723a2aa700cf51429fa3c,Trial-level information for individual faces in the fusiform face area depends on subsequent memory,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, +e7f268bfe0016412db538b57300d46d7bd728867,New Experiments on ICP-Based 3D Face Recognition and Authentication,"Ecole Centrale de Lyon LIRIS Laboratory, CNRS, France","Ecole Centrale de Lyon LIRIS Laboratory, CNRS, France","E6, Ecole Centrale de Lyon, 36 Avenue Guy de Collongue, 69134 Écully, France",45.78359660,4.76789480,edu, e70360dec906df73e7de268b801b51296f55471e,Object detection based on ensemble of exemplars,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, -e76119b7812aabbeefd322ea70c95f2805e27f22,Partial-Duplicate Clustering and Visual Pattern Discovery on Web Scale Image Database,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +e7120dde20d8518413180e8e635cc1dabc5e8072,Facial expression recognition using wavelet and k-nearest neighbour,India,India,India,20.59368400,78.96288000,edu, +e76119b7812aabbeefd322ea70c95f2805e27f22,Partial-Duplicate Clustering and Visual Pattern Discovery on Web Scale Image Database,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, e7c2670a0785d0fa1fd768f5c119f0e43a376b97,Automated Non-Invasive Measurement of Single Sperm’s Motility and Morphology,Soochow University,Soochow University,"苏州大学(天赐庄校区), 清荫路, 钟楼社区, 双塔街道, 姑苏区, 苏州市, 江苏省, 215001, 中国",31.30709510,120.63573987,edu, e707281248e2097e250d64118459b862257459ce,Hierarchical Image Segmentation Based on Iterative Contraction and Merging,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, +e781f2b75fa9b2bb0f41dfa8dd248bcf874e2080,Image de-noising based on association-prediction model,China,China,China,35.86166000,104.19539700,edu, e7beddae52b1bfe952b0af2f4dd1b29dba9061e6,Cluster's Quality Evaluation and Selective Clustering Ensemble,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, e75575717530f475947c3ac2727621a67927901a,Misclassification tolerable learning for robust pedestrian orientation classification,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, e7e8c0bbee09b5af6f7df1de8f0f26da992737c4,Autoassociative Pyramidal Neural Network for face verification,University of Pernambuco,"University of Pernambuco, Recife-PE, Brazil","Av. Gov. Agamenon Magalhães - Santo Amaro, Recife - PE, 50100-010, Brazil",-8.04406030,-34.88611670,edu, e7436b8e68bb7139b823a7572af3decd96241e78,A new approach for face detection with omnidirectional sensors,"University of Rouen, France","LITIS, Universite de Rouen - INSA de Rouen, Rouen, FR","685 Avenue de l'Université, 76800 Saint-Étienne-du-Rouvray, France",49.38497570,1.06832570,edu, e7669c62339ccb4b644729b2060ca41eb7829f8e,Hierarchical Sliding Slice Regression for Vehicle Viewing Angle Estimation,University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu, e7711b98384cf72a3ef26a51653083e41781a6bd,Dependence-Aware Feature Coding for Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +e72c4139e3d2d85915b065f2608f65ebe879b6f5,A Novel Vision-Based Tracking Algorithm for a Human-Following Mobile Robot,India,India,India,20.59368400,78.96288000,edu, e706d1e5aa444798fea933b399a0079f7bb63572,Regularizing deep learning architecture for face recognition with weight variations,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, +541a82917883657a9b9c069559e2d0b890904dfc,Number Local binary pattern: An Extended Local Binary Pattern,China,China,China,35.86166000,104.19539700,edu, 5480aee1d01700bb98f5a0e06dd15bf36a4e45ea,SelfID: How to make personal ID photo using selfie,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, 5499003468a81f2c6dc616be6416e766b6bd3a13,A novel power weighted multipath component tracking algorithm,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 5491478ae2c58af21389ed3af21babd362511a8e,Towards HDR Based Facial Expression Recognition under Complex Lighting,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, @@ -3249,13 +4666,18 @@ e706d1e5aa444798fea933b399a0079f7bb63572,Regularizing deep learning architecture 54e988bc0764073a5db2955705d4bfa8365b7fa9,Emotion recognition in the wild challenge (EmotiW) challenge and workshop summary,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, 54c8d17705bb470690a67353e2d492aa828872ed,Representative Fashion Feature Extraction by Leveraging Weakly Annotated Online Resources,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 54df4b428f1f07331e9711e8c029375224abac18,Local color vector binary pattern for face recognition,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +54a2fdd4402c45abd7247e4c393ee58528baf8ee,"Understanding Indoor Scene: Spatial Layout Estimation, Scene Classification, and Object Detection",China,China,China,35.86166000,104.19539700,edu, +54966a5ac5a2aa19760fb5197889fa9dcccac1d1,Effective classification of 2DPCA and 2DLDA features for face recognition,China,China,China,35.86166000,104.19539700,edu, 5414d792f8b9dafcf58d582545d3e7605b087ee0,A poselet-based approach for fall detection,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 543119d346faf7c4272811a6338b3ee957148589,Online self-supervised segmentation of dynamic objects,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 54f169ad7d1f6c9ce94381e9b5ccc1a07fd49cc6,Towards Robust and Accurate Multi-View and Partially-Occluded Face Alignment,"360 AI Institute, Beijing, China","360 AI Institute, Beijing, China","Side Rd of N. 3rd Ring Rd Middle, AnDingMen, Chaoyang Qu, Beijing Shi, China",39.96696400,116.39931200,company, 543d2992bd50aee2019b5553ceb64f84afcd83db,Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 5417ec4aa67a2b00e4dc4b86a5ef6ddf0b9cdb3d,Adaptive visual target detection and tracking using incremental appearance learning,Shiraz University,Shiraz University,"دانشگاه شیراز, میدان ارم, محدوده شهرداری منطقه یک - شهرداری شیراز, شیراز, بخش مرکزی شهرستان شیراز, شهرستان شیراز, استان فارس, 71348-34689, ‏ایران‎",29.63854740,52.52457060,edu, +5435d5f8b9f4def52ac84bee109320e64e58ab8f,Evaluating real-life performance of the state-of-the-art in facial expression recognition using a novel YouTube-based datasets,Russia,Russia,Russia,61.52401000,105.31875600,edu, 5454a2d207adccd04e4c3b4f38520ccac8a21d7b,Face recognition with Local Gradient Derivative Patterns,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, +5481464c7058475da126796df43c6942ee12c11b,Collective First-Person Vision for Automatic Gaze Analysis in Multiparty Conversations,"Nippon Telegraph and Telephone Corporation, Kanagawa, Japan","Nippon Telegraph and Telephone Corporation, Kanagawa, Japan","Kanagawa Prefecture, Japan",35.44750730,139.64234460,company, 548329f292f62fdaed27298e657cea465c3dd229,Pedestrian detectability: Predicting human perception performance with machine vision,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu, +543678282ab9e3a5d0cb2ca0293b8577c4ab48b0,Human detection from hemispherical image based on probabilistic appearance model,"Osaka Municipal Technical Research Institute, Boulder, 536-8553 JAPAN","Osaka Municipal Technical Research Institute, Boulder, 536-8553 JAPAN","Boulder, CO, USA",40.01498560,-105.27054560,edu, 54f07b2e74f20f118cc9a37674fdcd5d74d985b2,"High Magnification and Long Distance Face Recognition: Database Acquisition, Evaluation, and Enhancement",West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, 54d448f7238b424d7504543e4cb81a0e94ecc6e6,On combining local DCT with preprocessing sequence for face recognition under varying lighting conditions,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 5ed66fb992bfefb070b5c39dc45b6e3ff5248c10,Multi-instance Hidden Markov Model for facial expression recognition,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, @@ -3272,28 +4694,40 @@ e706d1e5aa444798fea933b399a0079f7bb63572,Regularizing deep learning architecture 5eff7ac2ca34fadc967f07245caebdfdb812633d,Sparse margin based discriminant analysis for face recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 5e9c8d74e83c9900bb06255656d45eba2eaeb260,A general framework for transfer sparse subspace learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 5eb2cf87852d84575eafa38677eb50b9f79005d4,Multi-structure local binary patterns for texture classification,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +5ea5a9f6fbc7209355cb98fc70b177326e0fe09b,PRIMA 2014: Principles and Practice of Multi-Agent Systems,"Nagoya Institute of Technology, Showa-ku, Japan","Nagoya Institute of Technology, Showa-ku, Japan","Gokisocho, Showa Ward, Nagoya, Aichi Prefecture 466-8555, Japan",35.15713490,136.92483840,edu, 5ec1f7dcce316b66bd107c45a50c03f106bc7fb4,Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, +5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4,Pose-indexed based multi-view method for face alignment,China,China,China,35.86166000,104.19539700,edu, +5e387b29ba253ddfe402509b2608d3f964721a8a,Sport Action Recognition with Siamese Spatio-Temporal CNNs: Application to Table Tennis,"Univ. Bordeaux, Bordeaux IMS Talence, France","Univ. Bordeaux, Bordeaux IMS Talence, France","Bâtiment A31, 351 Cours de la Libération, 33400 Talence, France",44.80844800,-0.59517190,edu, +5e6d63dce8c41f1a4414f7124eaf8be9360fe485,Situation awareness of cancelable biometric system,Russia,Russia,Russia,61.52401000,105.31875600,edu, +5e99aeae07c8f599ab2251a1f62703d0380d1e14,Dictionary learning for a sparse appearance model in visual tracking,Institut Mines-Telecom / Telecom Lille,"Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France","Université Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France",50.60971560,3.13728330,edu, 5e4ccf90bccd29453a591422505c628172b1a4d6,Single image 3D object detection and pose estimation for grasping,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu, faf19885431cb39360158982c3a1127f6090a1f6,Inheritable Fisher vector feature for kinship verification,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, fadbb3a447d697d52771e237173b80782caaa936,Multi-label multi-instance learning with missing object tags,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, fad856784bb87c72d7f45eaba7e0457ad57a258e,The shopping assistant Robot design based on ROS and deep learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +fa3ae082e585e131e83b5ce934c6549d6a056205,Classifying objectionable images based on MPEG-7 visual descriptors and saliency detection,"Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea","Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea","1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea",35.22537080,126.84618340,edu, fa87fbc7df4e56318a38f06ceafa47206b4117ce,Probabilistic two-dimensional principal component analysis and its mixture model for face recognition,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, fa72e39971855dff6beb8174b5fa654e0ab7d324,"A depth video-based facial expression recognition system using radon transform, generalized discriminant analysis, and hidden Markov model",King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, fadd240a54d0598c0cfe679d3cacfff0300f13fe,Unconstrained and Calibration-Free Gaze Estimation in a Room-Scale Area Using a Monocular Camera,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu, +fa2d3c78981ef0e19557e51d85b6dda05345c380,Detection of valuable left-behind items in vehicle cabins,"Jaguar Land Rover Research, Coventry, UK","Jaguar Land Rover Research, Coventry, UK","Viscount Centre C, Milburn Hill Rd, Coventry CV4 7HS, United Kingdom",52.38558050,-1.56086400,edu, fa80344137c4d158bf59be4ac5591d074483157a,Face recognition based on constructive neural networks covering learning algorithm,"Shanghai Jiao Tong University, China","Inst. of Autom., Shanghai Jiao Tong Univ., China","1954 Huashan Rd, JiaoTong DaXue, Xuhui Qu, Shanghai Shi, China, 200030",31.20100100,121.43284100,edu, fa08b52dda21ccf71ebc91bc0c4d206ac0aa3719,Customized Orthogonal Locality Preserving Projections With Soft-Margin Maximization for Face Recognition,Federal University of Rio Grande do Sul,"Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil","Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil",-30.03382480,-51.21882800,edu, fa9610c2dc7e2a79e0096ac033b11508d8ae7ed7,Sparse representation based facial expression classification for pain assessment in neonates,"Nanjing Children's Hospital, Nanjing Medical University","Nanjing Children's Hospital Affiliated to Nanjing Medical University, Nanjing, China","140 Hanzhong Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210029",32.04384600,118.77476300,edu, fa5ab4b1b45bf22ce7b194c20c724946de2f2dd4,Neutral Face Classification Using Personalized Appearance Models for Fast and Robust Emotion Detection,"Samsung R&D Institute, Bangalore, India","Samsung R&D Institute, Bangalore, India","#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India",12.98035370,77.69751010,company, +faeb50fd92c9b4946cd2789ce5edfed6b93a058c,Pictorial Human Spaces: A Computational Study on the Human Perception of 3D Articulated Poses,"Institute of Mathematics of the Romanian Academy, Bucharest, Romania","Institute of Mathematics of the Romanian Academy, Bucharest, Romania","Calea Griviței 21, București, Romania",44.44406960,26.08858440,edu, fa66007e6c159c374de78f2d3e47317df7fc8214,"Action recognition in low quality videos by jointly using shape, motion and texture features",Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, faff8ca21ffbffcbc871f3a2f2f3938c7cff407b,Discriminative Sparsity Preserving Projections for Semi-Supervised Dimensionality Reduction,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, fa9f2312fd0a4eb5bbfadaba9dea47ccd34453d2,Skull recognition based on Embedded Hidden Markov models,Shandong University of Science and Technology,Shandong University of Science and Technology,"山东科技大学, 579, 前湾港路, 牛王庙, 北下庄, 黄岛区 (Huangdao), 青岛市, 山东省, 266500, 中国",36.00146435,120.11624057,edu, fa0b17a01fe6cb0070529460f1ac511b308af103,"When to use what feature? SIFT, SURF, ORB, or A-KAZE features for monocular visual odometry",National University of Kaohsiung,National University of Kaohsiung,"國立高雄大學, 中央廣場, 藍田, 藍田里, 楠梓區, 高雄市, 811, 臺灣",22.73424255,120.28349755,edu, fa99cb089559566a4cc04fd5c1423fc1ee3791b4,Divide and Count: Generic Object Counting by Image Divisions,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 72d9bee3a71b005677dfe1c0a416bbda6eb5fa95,A Robust Real-Time System for Multi-Intensity AU Detection in Facial Expression Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +7242738691c7cb7877dc364337cbf0394704e389,Semantic segmentation of urban scenes with enhanced spatial contexts,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 72a2b7e46c51cd65810c9b511996a1776405eec8,Fusing attention with visual question answering,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 720763bcb5e0507f13a8a319018676eb24270ff0,What can visual content analysis do for text based image search?,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, +725bc4fd72070b58fb7e6819a1087e6cce16550c,Grouping Active Contour Fragments for Object Recognition,China,China,China,35.86166000,104.19539700,edu, 72c9bf19ad6e9a38fadb35ffebacc6497b4acd5d,iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 72642c9f4dc2ec2f4cc28dc056f8e542ff20b178,Human contour extraction from RGBD camera for action recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +72f9116a04e584081635500e9f0789fa26e4d15f,Hierarchical Memory Modelling for Video Captioning,China,China,China,35.86166000,104.19539700,edu, +72e603083c8b1cfa09200eb333927e8ea848fbc8,Dirichlet-tree cascaded Hough forests for continuous head pose estimation,Collaborative & Innovative Center for Educational Technology (CICET) Central China Normal University,"Collaborative & Innovative Center for Educational Technology (CICET) Central China Normal University, Wuhan, China","152 Luoyu Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430072",30.51880100,114.35840100,edu, 72f6bc80258293bddcca325fe95ce8df36ae6f06,An effective approach to crowd counting with CNN-based statistical features,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, 728d44bc3fec1cdd38ae691e93b49043a7b1acb4,Progressive Hard-Mining Network for Monocular Depth Estimation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 723b87aca073b7b82970a4580f64ba8c6c64691b,Improving Personalized Trip Recommendation by Avoiding Crowds,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, @@ -3301,6 +4735,8 @@ fa99cb089559566a4cc04fd5c1423fc1ee3791b4,Divide and Count: Generic Object Counti 72167c9e4e03e78152f6df44c782571c3058050e,Acume: A new visualization tool for understanding facial expression and gesture data,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7239ffd42e64bf63bffd55f4d01d57e3890f5e8f,Median Fisher Discriminator: a robust feature extraction method with applications to biometrics,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 72ffcc5b654b2468b9eff761279b29164f1df5d9,Design and realization of learning emotion database,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu, +72b3202cf98c28249bdcab6099c9d3f61cdc4552,A computational system approach to develop student's based emotion system: An alternative feedback tool for lecturers to enhance teaching and learning,INTI International University,"Faculty of Engineering and Information Technology, INTI International University, Nilai, Malaysia","Persiaran Perdana BBN, Putra Nilai, 71800 Nilai, Negeri Sembilan, Malaysia",2.81397140,101.75824110,edu, +72b6e589217e54879982e1f559197a9408e03b34,Spatial Ensemble Kernel Learning for Scene Classification,China,China,China,35.86166000,104.19539700,edu, 729d23a3a439927f1917cb93c9c20b5c426065b3,Health Information Science,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu, 7202235dd82965b4bf18216040e40433f96274cf,Interacting Tracklets for Multi-Object Tracking,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, 72572392ea68b82f5efe5623ff948b9032cbeab5,A Multi-Type Features Method for Leg Detection in 2-D Laser Range Data,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, @@ -3308,24 +4744,37 @@ fa99cb089559566a4cc04fd5c1423fc1ee3791b4,Divide and Count: Generic Object Counti 7249520f2b70b1daa935adb559fc1fbaf26e3dc9,Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 72a5c063a1de137dcd2276c26869661f6ff5f2ab,A semantic model for video based face recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 2d1e729f09d7ba195de4cc43f203ff35017fb55d,Adaptive deep learning model selection on embedded systems,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, +2d3ad5b92b7514ec114102035322d3953e1fbbd8,Outlining Objects for Interactive Segmentation on Touch Devices,"CNRS - IRIT, Toulouse, France","CNRS - IRIT, Toulouse, France","Avenue de l'étudiant, 31400 Toulouse, France",43.56198480,1.46798510,edu, +2d7ce5b7e86845ddc2ecc05c2095445df264bb48,A robust face recognition approach against variant illumination,China,China,China,35.86166000,104.19539700,edu, +2d9e88db5887b7ee3501bd745f671d3acfc268ba,Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, +2d87f4bf0606ce9939033b8f1fbc64b539eb18a6,Comparison of human and machine based facial expression classification,India,India,India,20.59368400,78.96288000,edu, 2d709edbe61a8616bef2a1f45c4d777b4ac1e96c,Classification based on weighted sparse representation using smoothed L0 norm with non-negative coefficients,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, +2d3af3ee03793f76fb8ff15e7d7515ff1e03f34c,New semantic descriptor construction for facial expression recognition based on axiomatic fuzzy set,China,China,China,35.86166000,104.19539700,edu, 2daa7d027772a64c94369fac39cc184b0b62d747,Inverse rendering in SUV space with a linear texture model,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 2d61bbf518a9a649405124c67084046ce132ef23,Random sampling LDA incorporating feature selection for face recognition,Nanjing Normal University,Nanjing Normal University,"南京师范大学仙林校区, 敏行路, 仙林大学城, 栖霞区, 南京市, 江苏省, 210046, 中国",32.10668110,118.90863081,edu, 2d94dfa9c8f6708e071ef38d58f9f9bcb374cd84,A common framework for real-time emotion recognition and facial action unit detection,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 2df4d0c06f4f68060cecbbb8e2088d9c6b20d04f,Attribute prediction with long-range interactions via path coding,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 2dd14a73911446f90c9dae9bd46eb172e2c7fba2,Estimating objectness using a compound eye camera,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 2dc1d8e1fd469fe18280c09189f53db05bd62019,Determining discriminative anatomical point pairings using adaboost for 3D face recognition,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, +2d1d105538961d9b301bda6248d6df55829751be,Context-dependent kernel design for object matching and recognition,"Certis Lab, ENPC ParisTech, France","Certis Lab, ENPC ParisTech, France","6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France",48.84057900,2.58696800,edu, +2d71b4c8689f295ace4c49f54984cebbe00ff4cf,Face recognition based on regression analysis using frequency features,Dalian Nationalities University,"Dalian Key Lab of Digital Technology for National Culture, Dalian Nationalities University, Dalian, China","Dalian, Liaoning, China",38.91400300,121.61468200,edu, 2d3d4c8132e2a2dfe991c9354549616bb01f1254,Temporal dynamics of face inversion at encoding and retrieval,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +2dba6a057b7e7d14fc6fee076ccf1d22506be54a,Learning Semantic Signatures for 3D Object Retrieval,China,China,China,35.86166000,104.19539700,edu, 2da2ae720ea37fffe7247b9cf977fa86b04f97f4,Web Multimedia Object Classification Using Cross-Domain Correlation Knowledge,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 2d92eac985bd87556a414f7bd007d98af8a03924,Target Classification Using the Deep Convolutional Networks for SAR Images,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 2d640ca0ca8a38d1fd69370ab2f69bd10b6fe1ed,Face Recognition Based on Image Enhancement and Gabor Features,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 2dbc57abf3ceda80827b85593ce1f457b76a870b,Facial expression classification using salient pattern driven integrated geometric and textual features,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +2d925cddb4a42d235b637e4888e24ba876b09e4a,An over-complete sparse representation approach for face recognition under partial occlusion,China,China,China,35.86166000,104.19539700,edu, 2d7dc5b052658451f5f5923f73fd7b0aaa0688ef,Latent training for convolutional neural networks,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +2dafea864f74a477414c3b71b742f7997e216102,Energy-Aware Mobile Edge Computing and Routing for Low-Latency Visual Data Processing,University of Missouri-Columbia,"University of Missouri-Columbia, USA","Columbia, MO 65211, USA",38.94038080,-92.32773750,edu, 63dd47f7ccf4bb22c1e308b263ec65ae382c86ce,Multiple target tracking and stationary object detection in video with Recursive-RANSAC and tracker-sensor feedback,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 63f2d1a64737afa1608588b9651b1e4207e82d1c,Detecting self-stimulatory behaviours for autism diagnosis,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 635d2696aa597a278dd6563f079be06aa76a33c0,Age estimation via fusion of multiple binary age grouping systems,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 6343bc0013343b6a5f96154f02d18dcd36a3f74c,Compressed domain human action recognition in H.264/AVC video streams,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +63a4105adbe182e67d8fd324de5c84a6df444294,Gender classification by LPQ features from intensity and Monogenic images,Vietnam Maritime University,"Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong","484 Lạch Tray, Đổng Quốc Bình, Lê Chân, Hải Phòng, Vietnam",20.83685390,106.69420870,edu, 639a60373d3592bde75cd5b12ce07cbd6e6639d3,Stereo Object Proposals,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +635804db97b8251c54674ade12f3de494d9aa6d1,Efficient image representation for object recognition via pivots selection,China,China,China,35.86166000,104.19539700,edu, +638afad8ab360d3afdfeec4acad02b4406714e38,Survey on semantic image segmentation techniques,India,India,India,20.59368400,78.96288000,edu, 6316a4b689706b0f01b40f9a3cef47b92bc52411,Rotation-Invariant Neoperceptron,ETH Zurich,"Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu, 63ada149373f27d1ded6df24acaa5871d0c3e379,Face anti-spoofing using patch and depth-based CNNs,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 63bf2c8af992e7306210d23f601840b3ca57b532,Tracking multiple ants in a colony,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu, @@ -3334,54 +4783,81 @@ fa99cb089559566a4cc04fd5c1423fc1ee3791b4,Divide and Count: Generic Object Counti 9be5e52fe3977852ff719998e6dbc02a76478fcd,Face recognition using locality sparsity preserving projections,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, 9bd8fe15e5f6ac46e2815d1105f64aba1d8d76cb,A genetics-motivated unsupervised model for tri-subject kinship verification,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, 9b14225c6ff8ef043866775165eeb6473f9fbcb8,Metaface block sparse Bayesian learning for face recognition,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, +9b93626cc87411964712d05905c2dd0a1247d16d,Multiple instance-based object retrieval in video surveillance: Dataset and evaluation,University “Politehnica” of Bucharest,"LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061071, Romania","Bucharest, Romania",44.42676740,26.10253840,edu, 9b846efdc4e164a281930c3095f06e032d6543ec,On-line Conservative Learning for Person Detection,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, -9b6d9f0923e1d42c86a1154897b1a9bd7ba6716c,Mining Latent Attributes From Click-Through Logs for Image Recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +9b6d9f0923e1d42c86a1154897b1a9bd7ba6716c,Mining Latent Attributes From Click-Through Logs for Image Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +9becfc370f4dad9f2e57b1a0fe3a60d177c1b2ea,A new face recognition system based on color histogram matching,"Elektrik ve Elektronik Mühendisli¿i Bölümü, Do¿u Akdeniz Üniversitesi, Gazima¿usa, KKTC, Turkey","Elektrik ve Elektronik Mühendisli¿i Bölümü, Do¿u Akdeniz Üniversitesi, Gazima¿usa, KKTC, Turkey","İsmet İnönü Bulvarı, Gazimağusa",35.14237930,33.91164790,edu, 9b7b07cb338846b0a0e3b2fbfe8d45184b92152c,Guided Selfies using Models of Portrait Aesthetics,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +9bea77f4bf5eaf47f195abea115950cda7372419,Learning appearance models for road detection,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 9b17b9c40ea8bb8904b782e91627c1f022a5574f,Learning Knowledge Bases for Multimedia in 2015,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" 9b9a1f18749e969c8f246894e59c62ae86b079be,Pose unconstrained face recognition based on SIFT and alignment error,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, 9bf5d0de19321474eb946ac38d03b3db48390dff,Particle swarm optimisation for object classification,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, 9b69cf7c6b3148fda4bce898b5f63ad8650b282f,Condensation-based multi-person detection and tracking with HOG and LBP,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 9b2ea0a877206943f8556f01922eb475fba5b4a2,Biologically Inspired Tensor Features,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 9b861942ff2584fd1660aa5e86eb67f4ad998da2,Traffic Congestion Assessment of Metropolitan Areas Through Hybrid Model Ranking,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu, +9b2b7e1153638286305c12dee2aba8d3bbd22a1d,Image Purification Networks: Real-time Style Transfer with Semantics through Feed-forward Synthesis,Dalian Maritime University,"Dalian Maritime University, Dalian, China","1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China",38.87004100,121.53414100,edu, +9b42fb48d5ac70b6ca5382f50e71ed8bf3a84710,Robust dynamic facial expressions recognition using Lbp-Top descriptors and Bag-of-Words classification model,Russia,Russia,Russia,61.52401000,105.31875600,edu, 9b5db4e1613cd86e6ade687bed5b01cc9f66811d,Face hallucination revisited: A joint framework,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 9b9bf5e623cb8af7407d2d2d857bc3f1b531c182,Who goes there?: approaches to mapping facial appearance diversity,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, 9bb1f695e399d030ba188b29b546cd9b26039715,HyperMAMBO-X64: Using Virtualization to Support High-Performance Transparent Binary Translation,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, +9b5b7bba820466131955830fed812d25142776f6,Building interactive experiences block by block,"Universidade NOVA de Lisboa, Caparica, Portugal","Universidade NOVA de Lisboa, Caparica, Portugal","Calçada de Alfazina 2, 2825-149 Caparica, Portugal",38.66096400,-9.20581300,edu, 9b1ec8b20a9ac4c9797c27b75cbee9302c3fd4f9,"Performance characterization, prediction, and optimization for heterogeneous systems with multi-level memory interference",Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, +9b4b2a575641f3a7f8a5ce28b6a06c36694a9ddf,A lighting robust fitting approach of 3D morphable model for face reconstruction,China,China,China,35.86166000,104.19539700,edu, +9b0c311c32524d8a0bb6dbe2a96b7a7b2fe2dd21,Combined AdaBoost and gradientfaces for face detection under illumination problems,Federal University of Pernambuco,"Center of Informatics, Federal University of Pernambuco, Recife, Brazil","Cidade Universitária, Recife - State of Pernambuco, 50740-540, Brazil",-8.05565060,-34.95120600,edu, +b3ad7bc128b77d9254aa38c5e1ead7fa10b07d29,Recognizing Actions in Wearable-Camera Videos by Training Classifiers on Fixed-Camera Videos,China,China,China,35.86166000,104.19539700,edu, +b36e945243d56fe25ba83821cb56aabb6bf92979,Detecting walking pedestrians from leg motion in driving video,Indiana University-Purdue University Indianapolis,"Indiana University-Purdue University Indianapolis, Indianapolis, USA","420 University Blvd, Indianapolis, IN 46202, USA",39.77388320,-86.17633930,edu, b39d24fdabf49c95fd3a32ac37f9285ed247670f,3D Mapping for Visualization of Rigid Structures: A Review and Comparative Study,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, b3d8438c23306909c04dabb4c2d12d15d82959fb,Remote feature learning for mobile re-identification,University of Udine,"University of Udine, Italy","Università degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy",46.08107230,13.21194740,edu, b3082004118a9a9afef26f9c35509f1e88e51f0b,Weight-loss control sampling for the training of boosted pedestrian detectors,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, b3b95496fb6815b3fff344225aae9a35611913c9,Image description with 1D local patterns by multi-scans: An application to face recognition,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, +b3f07763288c67d9f08b4a2180e06c0468856629,GREYC keystroke: A benchmark for keystroke dynamics biometric systems,"GREYC Laboratory, ENSICAEN - Université de Caen, Basse-Normandie - CNRS","GREYC Laboratory, ENSICAEN - Université de Caen, Basse-Normandie - CNRS","Campus 2, Bâtiment F, 6 Boulevard Maréchal Juin, 14000 Caen, France",49.21489100,-0.36895200,edu, +b3add9bc9e70b6b28ba31e843e9155e7c37f3958,Parallel Heat Kernel Volume Based Local Binary Pattern on Multi-Orientation Planes for Face Representation,Incheon National University,"Incheon National University, Incheon, South Korea","119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea",37.37505480,126.63289980,edu, b3e84ed8092640e24b7c2bb3b0410ed41f0fbf86,3D face matching: An alignment approach using ordered facial surface patterns,Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu, b313751548018e4ecd5ae2ce6b3b94fbd9cae33e,Evaluation of Face Datasets as Tools for Assessing the Performance of Face Recognition Methods,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu, b3ed0c6d71a0b7b4a056dd88919c49f05ab69a9f,Data-driven and semantic-based pedestrian re-identification,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, b33d610d62e5255c77ca4abcc9de8aa3c57b60aa,Regularization in metric learning for person re-identification,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, b3182d09761014b4efa2787b6a66700b52c979a6,Real-time scheme for 3-dimensional localizing and tracking of people in multiple camera settings,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, b340c9efbf477b8842bd27168fe1d81879f6417e,Supervised Distributed Hashing for Large-Scale Multimedia Retrieval,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +b38e915dc7a8531ca6f11a9e0c133a5cafe1d532,Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness,Taif University,"MIRACL Laboratory, College of Computers and Information Technology, Taif University, KSA","8616, Al Hawiyah, At Taif 26571 4001, Saudi Arabia",21.43305910,40.49111260,edu, b3f18013079e0535dcda045ac5145c201287aec3,Multi-Label Dilated Recurrent Network for Sequential Face Alignment,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, b30ba233313453e03ee5fc326ced0798bc4f3dad,A Similarity Measure Based on Hausdorff Distance for Human Face Recognition,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, b351575e3eab724d62d0703e24ecae55025eef00,Person-centered accessible technologies and computing solutions through interdisciplinary and integrated perspectives from disability research,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, b3050dc48600acf2f75edf1f580a1f9e9cb3c14a,Face relighting using discriminative 2D spherical spaces for face recognition,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, +b33bbdac96c3540ebb07c3655643e6badc368c59,MultiMedia Modeling,China,China,China,35.86166000,104.19539700,edu, +b3b97439c33063c9c45c305b67dd8f6066052096,Multi-modal identification and tracking of vehicles in partially observed environments,"Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany","Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany","96450 Coburg, Germany",50.25569800,10.95508180,edu, b3067deb3110e3a7566c032ac0c1e1608668ef3d,Probabilistic graphical detector fusion for localization of faces and facial parts,University of Liverpool,University of Liverpool,"Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK",53.40617900,-2.96670819,edu, b45354f02252fc5aac4e8536e98fa80d5198c20a,Repeatability and reproducibility of forensic likelihood ratio methods when sample size ratio varies,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, b416921155c1687ca07beb23f167e5ac267c5616,Vehicle Re-Identification by Deep Feature Fusion Based on Joint Bayesian Criterion,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, b46538db32a8954a087214370586551ac12632d5,Attribute-based learning for large scale object classification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, b44ca5bb74b27d196f281b6741c645f425ff65c1,Emotion recognition using the shapes of the wrinkles,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" +b4b9ec699c873cfbb16647966b230b522bc0113e,DTRP: A Flexible Deep Framework for Travel Route Planning,China,China,China,35.86166000,104.19539700,edu, b4e6a967666cd8f943b9e16ab4ce61c108803493,On the effect of temporal information on monocular 3d human pose estimation,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu, b4fe210e55fd844ebef2b87a5704ccf0ecf37782,VRSA Net: VR Sickness Assessment Considering Exceptional Motion for 360° VR Video,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, b472f91390781611d4e197564b0016d9643a5518,Facial expression recognition using geometric and appearance features,University of Abertay,University of Abertay,"Abertay University, Bell Street, City Centre, Dundee, Dundee City, Scotland, DD1 1HG, UK",56.46323375,-2.97447512,edu, b40856b30023d469810aacfb48e1c502804e8b7b,Toward identifying behavioral risk markers for mental health disorders: an assistive system for monitoring children’s movements in a preschool classroom,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, b44f03b5fa8c6275238c2d13345652e6ff7e6ea9,Lapped convolutional neural networks for embedded systems,"AltumView Systems Inc., Burnaby, BC, Canada","AltumView Systems Inc., Burnaby, BC, Canada","8525 Baxter Pl, Burnaby, BC V5A 4V7, Canada",49.25938790,-122.91518930,company, +b4646d7d46a4532281f404d6bd05cd280b4a90c0,Learning effective image metrics from few pairwise examples,"Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan","Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu, b4ef46a5d5f52a9a55e78aad9b34c5977ea8b6de,Generic face alignment using an improved Active Shape Model,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +b449a9362a8dc7b8b1bdaa032a73577e2720ccb0,Action Recognition Using Multiple Pooling Strategies of CNN Features,China,China,China,35.86166000,104.19539700,edu, +b41d585246360646c677a8238ec35e8605b083b0,Student engagement study based on multi-cue detection and recognition in an intelligent learning environment,China,China,China,35.86166000,104.19539700,edu, b40622567165b372a6e15928ab5ed41413d1d50d,Object detection and tracking using multi-layer laser for autonomous urban driving,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, ba32bcea914685f2dacc689b3d9dc070eceae684,Person Re-Identification by Weighted Integration of Sparse and Collaborative Representation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +ba80a5a7848ebe39fc96bb2a5959c4daf81d3ffc,Security using image processing and deep convolutional neural networks,India,India,India,20.59368400,78.96288000,edu, ba3f4d05971d3d9ded23725846b864f5a8e8a7a1,Object Tracking With Multi-View Support Vector Machines,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +bad15b4dea2399d57ee17f33a5ba8f04b012ef63,Lip tracking under varying expressions utilizing domain knowledge,India,India,India,20.59368400,78.96288000,edu, +ba7892fc2f7bb5851cff243257da0da0f2d5bc05,Iterative Category Discovery via Multiple Kernel Metric Learning,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, +baf2607f15aab164289e1d4b4097813a65cd118e,Visual target tracking via weighted non-sparse representation and online metric learning,"Neusoft Corporation, Shenyang 110179, China","Neusoft Corporation, Shenyang 110179, China","2 Xinxiu St, Hunnan Qu, Shenyang Shi, Liaoning Sheng, China, 110179",41.70368300,123.43186700,edu, ba49fa7c313666a6e6e9b19c37c78d1a75a95d34,Face Recognition using new image representations,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +ba84a1f07df13a46c2c3af12b9d9dc33f09dc107,Classifier fusion for robust ICAO compliant face analysis,"Siemens Biometrics Center, Graz, Austria","Siemens Biometrics Center, Siemens IT Solutions and Services, Strassgangerstrasse 315, 8054 Graz, Austria","Straßganger Str. 315, 8054 Graz, Austria",47.04091740,15.39658980,company, ba38c4f083ccde8a932952ba865e57d930476b1b,Domain-Adaptive generative adversarial networks for sketch-to-photo inversion,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, ba17782ca5fc0d932317389c2adf94b5dbd3ebfe,Dynamic facial expression recognition using Laplacian Eigenmaps-based manifold learning,University of the Basque Country,University of the Basque Country,"Euskal Herriko Unibertsitatea, Ibaeta Campusa, Paseo Arriola pasealekua, Ibaeta, Donostia/San Sebastián, Donostialdea, Gipuzkoa, Euskadi, 20008, España",43.30927695,-2.01066785,edu, ba5460719b5f3ef11b93e1254647d8ad6ce55383,Wearable Assistive Technologies for Autism: Opportunities and Challenges,University of St Andrews,University of St Andrews,"University of St Andrews, North Street, Albany Park Student accommodation, Carngour, St Andrews, Fife, Scotland, KY16 9AJ, UK",56.34119840,-2.79309380,edu, bad206bfdbca3657c08868cd990cc95eb61a0c5a,CNN-based gender classification in near-infrared periocular images,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, ba1c0600d3bdb8ed9d439e8aa736a96214156284,Complex representations for learning statistical shape priors,"Amazon Research, Berlin","Amazon Research, Berlin, Germany","Krausenstraße 38, 10117 Berlin, Germany",52.50986860,13.39845130,company, ba1d0d2cde169bfef82dc271b580ed6688982e7c,Sparse 2-D Canonical Correlation Analysis via Low Rank Matrix Approximation for Feature Extraction,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +baf420613e00a42c1f5215085f74c4e69782e7ae,DLBP: A novel descriptor for depth image based face recognition,"LIFL UMR Lille 1-CNRS n 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d'Ascq, France","LIFL UMR Lille 1-CNRS n 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d'Ascq, France","Avenue Henri Poincaré, 59491 Villeneuve-d'Ascq, France",50.60426650,3.13825710,edu, +ba6769c165967c8dcb11fe5e0be2153ddbe99c7e,Deep learning for gender recognition,China,China,China,35.86166000,104.19539700,edu, +ba69d464bc360f94303ffc9f710009d16a5673a0,Framework for an embedded emotion assessment system for space science applications,Romania,Romania,Romania,45.94316100,24.96676000,edu, baa4b2d31c1ce7b1c8ccf5cbd3e12ae3e89e1d7e,A novel separating strategy for face hallucination,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, ba6aec7f1b17833e7983809926a90951469f5520,People perception from RGB-D cameras for mobile robots,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, baabad0fbd0a980f8ad6d4b870ab20dd17b9b1cc,An effective color space for face recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, @@ -3391,27 +4867,44 @@ baafe3253702955c6904f0b233e661b47aa067e1,Submodular Attribute Selection for Visu bab9bf053c609d7e9417ff1e285b992798bb01f5,Collaborative representation analysis methods for feature extraction,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, bae912f94bccb41e5492d8f1efb1603c86acd1fc,Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses,"OMRON Corporation, Kyoto, Japan","Core Technology Center, OMRON Corporation, Kyoto, Japan","Kyoto, Kyoto Prefecture, Japan",35.01163630,135.76802940,company, ba153c968a142d90f6286e69a5f8bdf7eb9331ef,Color exploitation in hog-based traffic sign detection,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, +ba4e88481e2f211d22254c7d0563d3779b584cb3,Local spatiotemporal descriptors for visual recognition of spoken phrases,Finland,Finland,Finland,61.92411000,25.74815110,edu, +ba9cc1577393afcf8b6b34423535ce71e4eab2fd,Intelligent Portrait Composition Assistance: Integrating Deep-learned Models and Photography Idea Retrieval,Pennsylvania State University,Pennsylvania State University,,,,edu, a4898f55f12e6393b1c078803909ea715bf71730,"Where is the driver looking: Analysis of head, eye and iris for robust gaze zone estimation","University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, a4af26ad72298409e987128b9b130ca0e428baf3,A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +a4eddbaf04256aa35f8a72723ae8f3be9279b282,Neural Information Processing,King Fahd University of Petroleum and Minerals,"King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia","University Blvd, King Fahd University of Petroleum and Minerals, Az Zahran Saudi Arabia",26.30710460,50.14594230,edu, +a49018f1f04d6d64c763ac73f21890df8983e641,An artistic portrait caricature model,University Paris 8,"Group of Research in Images Synthesis, Intelligence Artificial Laboratory, University Paris 8,  ","2 Rue de la Liberté, 93526 Saint-Denis, France",48.94491330,2.36350560,edu, a46edfb0d5374fae7633b56ab767e26cc8ea25ac,Deep Multi-Metric Learning for Person Re-Identification,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +a4ae4baa1065e6c0596f07e40e07d3148431e353,Binary face image recognition using logistic regression and neural network,India,India,India,20.59368400,78.96288000,edu, a44c8484151179f903499294e8a866b13f43792b,Group sparsity in dimensionality reduction of sparse representation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, a422f2d0212f54807ff678f209293a27c7791ec5,Adaptive image downsampling preprocessor for artificial neural networks,University of Kent,University of Kent,"University of Kent, St. Stephen's Hill, Hackington, Canterbury, Kent, South East, England, CT2 7AS, UK",51.29753440,1.07296165,edu, +a432ee5977443b5c29001f4bd10c6303cc364d4d,Polysemious visual representation based on feature aggregation for large scale image applications,China,China,China,35.86166000,104.19539700,edu, +a4cf949a3f6b7b094983acbd6a042766e09e8a2f,Action spotting exploiting the frequency domain,Kingston University London,"Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE","Penrhyn Rd, Kingston upon Thames KT1 2EE, UK",51.40324310,-0.30348820,edu, a4e75766ef93b43608c463c233b8646439ce2415,Automatic real-time FACS-coder to anonymise drivers in eye tracker videos,"Volvo, Sweden","Volvo Car Corporation, SE-405 31 Göteborg, Sweden","Karossvägen 2, 405 31 Göteborg, Sweden",57.72288600,11.84620530,edu, +a448aeed546a13cad7977dd0e8139f0ee43baed0,Learning to identify new objects,"ISTC-Pervasive Computing Intel Labs, Seattle, WA 98115, USA","ISTC-Pervasive Computing Intel Labs, Seattle, WA 98115, USA","705 5th Ave S, Seattle, WA 98104, USA",47.59648630,-122.32818820,edu, +a49687fa1d90825e29c9a6824ad419f86d327d04,Fast pixel-box for pedestrian detection,China,China,China,35.86166000,104.19539700,edu, a4b9161ef85519206b7b2b9b0e1598b2beb4e584,Gait Analysis using Independent Components of image motion,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, a484243027b19b57b5063ad2e4b414e1d383d3e8,"A New Automatic Recognition System of Gender, Age and Ethnicity",Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, a42f7038aed61c45b12f1b2c505c89757bb461a1,Enhancing subspace clustering based on dynamic prediction,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +a289de92de2503b632efd7acc13080ab026986b7,Fine-grained object recognition in underwater visual data,University of Nice Sophia Antipolis,"I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France","Euclide B, 2000 Route des Lucioles, 06900 Sophia Antipolis, France",43.61530240,7.06744330,edu, a20036b7fbf6c0db454c8711e72d78f145560dc8,On averaging face images for recognition under pose variations,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, a200885bf6bfa0493d85e7617e65cdabe30a2dab,An efficient face classification method based on shared and class-specific dictionary learning,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, +a23f55dacd3b2f3e61d6a30da49c307ed0102807,Unsupervised person re-identification via re-ranking enhanced sample-specific metric learning,China,China,China,35.86166000,104.19539700,edu, a2136b13aa0bb4ea4e7fa99a6c657b11dffff563,Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, a2af07176a38fe844b0e2fdf4abae65472628b38,Dog breed classification via landmarks,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, a26fd9df58bb76d6c7a3254820143b3da5bd584b,Monitor Pupils' Attention by Image Super-Resolution and Anomaly Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +a21b0a67b4bcc4c86482294eade38f6e868497de,Pedestrian Movement Direction Recognition Using Convolutional Neural Networks,University of Alicante,"University of Alicante, Alicante, Spain","Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain",38.38524460,-0.51431610,edu, +a289f5c7c1273c2402bbed8b3f9ed9b4b6e29777,A comprehensive 3D facial expression database and its elastic registration,"Elektrik ve Elektronik Mühendisli¿i Bölümü Bo¿aziçi Üniversitesi, Turkey","Elektrik ve Elektronik Mühendisli¿i Bölümü Bo¿aziçi Üniversitesi, Turkey","Bebek Mh., 34342 Beşiktaş/İstanbul, Turkey",41.08475710,29.05103990,edu, a2646865d7c3d7fb346cf714caf146de2ea0e68f,Distributed graph regularized non-negative matrix factorization with greedy coordinate descent,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +a231fdbd9065ec7ca76484816bf64a6748426b42,Low-light pedestrian detection from RGB images using multi-modal knowledge distillation,"Harman International Industries, India","Harman International Industries, India","Hiranandani Gardens, Powai, Mumbai, Maharashtra 400076, India",19.11088100,72.90829900,edu, a281433fab0178d9344fe1e53506187c9c227317,Low-Rank Linear Embedding for Image Recognition,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, +a24709b9b2ce01a6cf3e4b8d603533d66f411916,Confidence assessment on eyelid and eyebrow expression recognition,"Institut de Robòtica i Informàtica Industrial, C. Llorens i Artigas 4-6, 08028, Barcelona, Spain","Institut de Robòtica i Informàtica Industrial, C. Llorens i Artigas 4-6, 08028, Barcelona, Spain","C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain",41.38295500,2.11573820,edu, +a25fb4cf0a360bb4962da16d0f1c2e3bf570a183,Weber Local Descriptor based object recognition,"Mepco Schlenk Engineering College, Sivakasi, India","Mepco Schlenk Engineering College, Sivakasi, India","Mepco Nagar, Mepco Engineering College Post, Sivakasi, Virudhunagar, Tamil Nadu 626005, India",9.52467870,77.85530890,edu, a2c61a7c5292af2e2b4e42f257ac65113decd42d,Image Visual Realism: From Human Perception to Machine Computation,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, a24c2200cabe8f034ed94dc45b9c389eb9564f07,Image-to-image face recognition using Dual Linear Regression based Classification and Electoral College voting,University of Northern British Columbia,University of Northern British Columbia,"UNBC, Campus Ring Road, College Heights, Prince George, Regional District of Fraser-Fort George, British Columbia, V2M 5K7, Canada",53.89256620,-122.81471592,edu, +a25ba58eb02ca6d19dfcea11da98ef01cc53ea9e,Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation,École Normale Supérieure / PSL Research University,"École Normale Supérieure / PSL Research University, Paris, France","45 Rue d'Ulm, 75005 Paris, France",48.84220580,2.34516890,edu, ff2b0f2c01a4a98e18909a8bd4dab2e12e29b68b,Minimal filtered channel features for pedestrian detection,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, fffd4222961016e526631fa863de79df01c2497b,A 3D face recognition method using region-based extended local binary pattern,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, -ff012c56b9b1de969328dacd13e26b7138ff298b,Facial Age Estimation With Age Difference,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +ff012c56b9b1de969328dacd13e26b7138ff298b,Facial Age Estimation With Age Difference,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, ff27935acd65177a7a1ba5f228171601e8987127,Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning,"London, United Kingdom","London, United Kingdom","London, Greater London, England, SW1A 2DU, UK",51.50732190,-0.12764740,edu, ffd3806a1a8305f5fa7fcc75e614922f1e1d393d,3D Facial expression recognition based on basic geometric features,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, ffc81ced9ee8223ab0adb18817321cbee99606e6,A multibiometrics-based CAPTCHA for improved online security,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, @@ -3422,19 +4915,27 @@ ffad55bd69728976e6a532e75b92f62a0e78d29b,Studying Effects of Incorporating Autom ff03823829265f4ff269bfc5517625e4e3584dc7,Performance enhancement for audio-visual speaker identification using dynamic facial muscle model,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, ff643f726e01ad2955d6df752fadc95a1140be78,Towards measuring the visualness of a concept,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, ff76ff05aa1ab17e5ca9864df2252e6bb44c8a17,Gender Recognition or Gender Reductionism?: The Social Implications of Embedded Gender Recognition Systems,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +ff249ee2d69f14fc130fe8433732e9733ef066c6,Efficient eye location using the Accuracy-Weighted Principal Component Analysis,China,China,China,35.86166000,104.19539700,edu, ff946df1cea6c107b2c336419c34ea69cc3ddbc4,"EGA — Ethnicity, gender and age, a pre-annotated face database",George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, ff351ecd5d3a9243177d0dcb73de29534f4fde57,Deep-learning-based facial classifier applying 3D minimum spanning tree,National Taipei University,National Taipei University,"國立臺北大學, 151, 大學路, 龍恩里, 隆恩埔, 三峽區, 新北市, 23741, 臺灣",24.94314825,121.36862979,edu, ff5f43762a4bc3286fcde0f45e23714fc23641b3,Dark silicon-aware hardware-software collaborated design for heterogeneous many-core systems,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +ff9e042cccbed7e350a25b7d806cd17fb79dfdf9,Band-pass correlation filter for illumination- and noise-tolerant face recognition,India,India,India,20.59368400,78.96288000,edu, ffaa62f221b6851e2180d29ea645187fc24077ec,Random Sampling for Subspace Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, ff39e33a2ac0838e8d82aaf8cdc18f9b65ca2ea2,Strip Features for Fast Object Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, ffea4184a0b24807b5f4ed87f9a985c2a27027d9,Cross-media retrieval by intra-media and inter-media correlation mining,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +ff82825a04a654ca70e6d460c8d88080ee4a7fcc,"Face Recognition in Surveillance Conditions with Bag-of-words, using Unsupervised Domain Adaptation",India,India,India,20.59368400,78.96288000,edu, ff8db3810f927506f3aa594d66d5e8658f3cf4d5,Visual Descriptors in Methods for Video Hyperlinking,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, +fff0a848b57361e1e99548c95fbc2ec9ae00ce32,A Robust Approach for Gender Recognition Using Deep Learning,India,India,India,20.59368400,78.96288000,edu, ffc02195ad8eeafa955680b128b99ebccf4b0a91,A non-command interface for automatic document provision during meetings,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, ffc2f8c1bf568b913427d1702d75306311df3d5b,Orientation robust object detection in aerial images using deep convolutional neural network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, ff54ff0dcea8a08bd987848387b2884e7fef9dd0,Score based Face Quality Assessment (FQA),Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 69ba86f7aac7b7be0ac41d990f5cd38400158f96,Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis,Istanbul University,Istanbul University,"İstanbul Üniversitesi, Besim Ömerpaşa Caddesi, Süleymaniye, Fatih, İstanbul, Marmara Bölgesi, 34116, Türkiye",41.01324240,28.96376090,edu, -692a8ed54c4336d181c6c15046407b7ee3183e77,Automatic facial expression recognition on a single 3D face by exploring shape deformation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +692a8ed54c4336d181c6c15046407b7ee3183e77,Automatic facial expression recognition on a single 3D face by exploring shape deformation,Shenzhen Institute of Advanced Technology,Shenzhen Institute of Advanced Technology,"Tengfei Rd, LongGang ZhongXin Cheng, Longgang Qu, Shenzhen Shi, Guangdong Sheng, China, 518172",22.72147100,114.21548200,edu, 69c22f1f72de76dfd4f5b90621dad4969674da1e,Convolution Neural Networks With Two Pathways for Image Style Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +69dfec15a45786bd37474c8e059bc1ab0a7c8c25,3DMKDSRC: A novel approach for 3D face recognition,China,China,China,35.86166000,104.19539700,edu, +69d9e8f0170cc1148accbb9d4c6902296ea9516b,What makes Paris look like Paris?,Carnegie Mellon University and INRIA/Ecole Normale Supérieure,"Carnegie Mellon University and INRIA/Ecole Normale Supérieure, Paris","45 Rue d'Ulm, 75005 Paris, France",48.84220580,2.34516890,edu, +6986658717d6430be30acea59a1296125062d5a4,Cross-camera multi-person tracking by leveraging fast graph mining algorithm,China,China,China,35.86166000,104.19539700,edu, +69737cf25979bf8d8886f63c44ef5b7c95a066e7,Real Time Facial Expression Recognition Based on Deep Convolutional Spatial Neural Networks,India,India,India,20.59368400,78.96288000,edu, 694bdadb720d4237b701a5c8c10417843ed89c6f,Facial age estimation under the terms of local latency using weighted local binary pattern and multi-layer perceptron,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 691c034580aa9a7865c6eff95a819999f039976d,Exploring the Design Space of Fair Scheduling Supports for Asymmetric Multicore Systems,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 69a77cb816a31c65699cd11c4a3b1b82ae44e903,Semi-supervised discriminant analysis based on sparse-coding theory,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, @@ -3444,12 +4945,17 @@ ff54ff0dcea8a08bd987848387b2884e7fef9dd0,Score based Face Quality Assessment (FQ 69e62bf7678590b77c1518ce61df274c3ff62090,Textural Hausdorff Distance for wider-range tolerance to pose variation and misalignment in 2D face recognition,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, 6933b9dd92156ba716006cbe5047edea15661765,A distributed computing framework for All-to-All comparison problems,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 69c36275ddf2ea95ea4ac39b4d41079c13827281,Add English to image Chinese captioning,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +69a9cf9bc8e585782824666fa3fb5ce5cf07cef2,Captioning Videos Using Large-Scale Image Corpus,China,China,China,35.86166000,104.19539700,edu, 69eb86b4501a516b983b6269b7f154e4a8a4d588,A 46.1 fps Global Matching Optical Flow Estimation Processor for Action Recognition in Mobile Devices,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +69990cd6478d7ba8a84b0d01b475e7525d421137,Artificial landmark-based underwater localization for AUVs using weighted template matching,"Ocean System Engineering Research Division, Korea Research Institute of Ships and Ocean Engineering (KRISO), Daejeon, Republic of Korea","Ocean System Engineering Research Division, Korea Research Institute of Ships and Ocean Engineering (KRISO), Daejeon, Republic of Korea","South Korea, Daejeon, Yuseong-gu, Yuseong-daero 1312beon-gil, 32",36.39824500,127.36340700,edu, +69602cdcf1ad437679a0ed6b8a15ec94e28a8557,A New Discriminative Sparse Representation Method for Robust Face Recognition via $l_{2}$ Regularization,China,China,China,35.86166000,104.19539700,edu, 696236fb6f986f6d5565abb01f402d09db68e5fa,Learning adaptive receptive fields for deep image parsing networks,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 6976165d1ed210363be5b45933144c16183b64c4,Learning disease severity for capsule endoscopy images,Washington University,Washington University,"Dero, Wallace Drive, St. Louis County, Missouri, MO 63130, USA",38.64804450,-90.30996670,edu, 6973c343a4a59476d57251651551286d4bd55d58,From one to many: Unsupervised traversable area segmentation in off-road environment,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 69a78c5edc0af189df07b1f5eae24105604a78e6,Haar-like features for robust real-time face recognition,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, +699ad5c2bfe38df4c7e7af0b8d7c54a73a21b07f,Generation of 3D face views from artist drawn sketch: A review,India,India,India,20.59368400,78.96288000,edu, 69e4bcb9d7103165176112c675120f88b2ee7a13,Learning to Recognise Unseen Classes by A Few Similes,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, +6910dd8525776b2f7aa048405542abd8d61bac5a,Machine perception in gender recognition using RGB-D sensors,Mohammed V University in Rabat,"LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco","Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.، Rabat 10102, Morocco",33.97023350,-6.87447300,edu, 2c9f486fcec3c80a41fcecf33b6f4653bac1aaf5,Multi-task Joint Learning for Videos in the Wild,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 2cf91c09d648d37c9833d9763721fe07213ae985,Video-based Emotion Recognition Using Deeply-Supervised Neural Networks,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, 2cbed30dcccb78ad18e3fedb30db187bf2ee09e7,Fashion Parsing With Video Context,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, @@ -3458,8 +4964,9 @@ ff54ff0dcea8a08bd987848387b2884e7fef9dd0,Score based Face Quality Assessment (FQ 2c86351363c59d0f39f9f0296b149aee50047ee8,A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 2cbfb137e12a68c2fd8ed5184d46e2913101090b,Saliency-Based Pedestrian Detection in Far Infrared Images,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, 2cfe4d55590e2db3c18d5693d8b9db4538921260,A Novel Kernel Discriminant Analysis for Face Verification,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, -2c38081b653662b0e57745bb713db1b822714875,Category specific SIFT descriptor and its combination with color information for content-based image retrieval,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu, +2c38081b653662b0e57745bb713db1b822714875,Category specific SIFT descriptor and its combination with color information for content-based image retrieval,"Beijing Institute of Technology, China","Beijing Institute of Technology, China","Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China",39.96443100,116.31031900,edu, 2c03ba51f7404d8d9869a997a00f6af801149ac1,Adaptive spatio-temporal context learning for visual target tracking,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, +2cef1515ac1d98f1dcfdc9b84c1a3b6f3758b9d1,Joint pose estimation and action recognition in image graphs,"INRIA, École Normale Supérieure, France","INRIA - Willow Project, Laboratoire d´Informatique, École Normale Supérieure, France","Institut National de Recherche en Informatique et en Automatique, 54600 Villers-lès-Nancy, France",48.66544710,6.15702390,edu, 2c2d2c82fda9f01f37cb86d80f5c0f5e963d68d0,Evaluation of basic visual features for person re-identification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 2cb5db4df50921d276ad9e7186119a276324e465,Subtasks of Unconstrained Face Recognition,McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu, 2cb31b1a334de6763732a0e147ce30ac1eb849d4,Preliminary investigation of unconstrained person identification for tabletops using soft biometrics,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, @@ -3472,34 +4979,52 @@ ff54ff0dcea8a08bd987848387b2884e7fef9dd0,Score based Face Quality Assessment (FQ 2cbe913aaf7657dc53c64f03fc0e20b62aa369d9,Adaptive multi-stream score fusion for illumination invariant face recognition,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, 2c448fbe0a563288834016b76c299b2beec0e0e5,On the role of head motion in affective expression,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, ed968437157f6b2d55114e90059cdce746d7b090,Two-stage extreme learning machine for high-dimensional data,China University of Mining and Technology,China University of Mining and Technology,"China University of Mining and Technology, 1号, 大学路, 泉山区 (Quanshan), 徐州市 / Xuzhou, 江苏省, 221116, 中国",34.21525380,117.13985410,edu, +edd4b6d99367a69865377109f5f8bcf872f0ba45,Versatile loitering detection based on non-verbal cues using dense trajectory descriptors,India,India,India,20.59368400,78.96288000,edu, edef734a0bc729162ff7a805363eda88e1633c8d,Large scale image understanding with non-convex multi-task learning,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, ed70d1a9435c0b32c0c75c1a062f4f07556f7016,Correlated warped Gaussian processes for gender-specific age estimation,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, ed4bd8e3805853f906029f9b917f22b3cd2fc3bf,Lazy Dragging: Effortless bounding-box drawing for touch-screen devices,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +ede0c040db8e24ffb1cb24cf435e032276c7f8b7,A new method combining HOG and Kalman filter for video-based human detection and tracking,China,China,China,35.86166000,104.19539700,edu, edec04f49b4e570ec4cc2c25e2f443386a2b274b,Fusion of multiple gait features for human identification,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, edfce091688bc88389dd4877950bd58e00ff1253,A talking profile to distinguish identical twins,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" edd6b6cd62d4c3b5d288721510e579be62c941d6,Conditional image generation using feature-matching GAN,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, eddafbd7ad94ebdf554a2810f1f122e87e0998dd,Single-shot person re-identification by Gaussian mixture model of weighted color histograms,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, ed87e27aed9faf57e46ec0b93abb049376662db8,Improved Parameters Estimating Scheme for E-HMM with Application to Face Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2,Audio Visual Recognition of Spontaneous Emotions In-the-Wild,Interuniversity Microelectronics Centre,"Interuniversity Microelectronics Centre, Heverlee, Belgium","Heverlee, 3001 Leuven, Belgium",50.86260720,4.69588890,edu, edc67e3e95c0ae693c4df3193e5957dfd3e9e5b3,Person Re-Identification Using Multi-region Triplet Convolutional Network,AGH University of Science and Technology,AGH University of Science and Technology,"AGH, Władysława Reymonta, Czarna Wieś, Krowodrza, Kraków, małopolskie, 30-059, RP",50.06570330,19.91895867,edu, ed27bc6e3c0e099d02150fcaef140f96f17f1e39,Reasonably Assign Label Distributions to GAN Images in Person Re-Identification Baseline*,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, edbddf8c176d6e914f0babe64ad56c051597d415,Predicting Image Memorability Through Adaptive Transfer Learning From External Sources,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, ed9de242a23ad546902e1d5ec022dbb029cc2282,Local binary pattern orientation based face recognition,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, +edc37f68cc6a36ba51db77574788cce4b2719719,Real-time Facial Expression Recognition on Robot for Healthcare,China,China,China,35.86166000,104.19539700,edu, ed283166e0238c4aa801bc76969776aaa73c5a77,Robust facial expression recognition using RGB-D images and multichannel features,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, +edf254f131ee6bb42555bdafdc4775a3edf3c28e,Face recognition using multimodal biometric features,"Surface Robotics Lab, Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur - 713209, West Bengal, India","Surface Robotics Lab, Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur - 713209, West Bengal, India","Opposite NIT, Mahatma Gandhi Rd, City Center, Durgapur, West Bengal 713209, India",23.54367300,87.29261040,edu, edcb662834aae8878a209c769ed664f8bd48b751,Imagining the Unimaginable Faces by Deconvolutional Networks,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +edf60d081ffdfa80243217a50a411ab5407c961d,Recognizing an Action Using Its Name: A Knowledge-Based Approach,"HTC Research, Beijing, China","HTC Research, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, +ed7d4400d5e07efb7b7cc3624dbe5963b77fda33,A score level fusion framework for gait-based human recognition,China,China,China,35.86166000,104.19539700,edu, ede16b198b83d04b52dc3f0dafc11fd82c5abac4,LBP edge-mapped descriptor using MGM interest points for face recognition,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, ed2a4a38b9bd78b530b946628fd25fcc38f148a1,Refine pedestrian detections by referring to features in different ways,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 3ee1c8e7bcf9785c1e721964f2c78f6cfdc84718,Outsourced Biometric Identification With Privacy,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +3ec98dabbcf440db746d4baf6550e44e12c5ee76,A comparative study between LBP and Haar-like features for Face Detection using OpenCV,"Malaysian Institue of Industrial Technology, Universiti Kuala Lumpur, Johor","Malaysian Institue of Industrial Technology, Universiti Kuala Lumpur, Johor","Jalan Persiaran Sinaran Ilmu, Bandar Seri Alam, 81750 Masai, Johor, Malaysia",1.52488500,103.89424900,edu, 3e064080a6c3fe28bcf87eb297c7f2843e5556df,Lip-motion events analysis and lip segmentation using optical flow,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, +3ee5f77594762b786611787860d7d58f4a328c9c,"Training-Free, Generic Object Detection Using Locally Adaptive Regression Kernels",University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, +3e5321136cf8007c98b77c1d5a17823deba20b7e,Optimizing one-shot recognition with micro-set learning,"Intel Labs Pittsburgh, Carnegie Mellon","Intel Labs Pittsburgh, Carnegie Mellon","4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu, +3e578969cad015f6e01cd4221985bf7ea4cb634d,Multi-feature fusion based region of interest generation method for far-infrared pedestrian detection system,"Chinese Academy of Sciences and Anhui Province Key Laboratory of Intelligent connected technology, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China","Chinese Academy of Sciences and Anhui Province Key Laboratory of Intelligent connected technology, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China","Luyang, Hefei, Anhui, China, 230031",31.88348710,117.17824330,edu, +3e940fe776e387a1c9c9fa65ab5cd7fc22fb4549,Pedestrian detection and direction estimation by cascade detector with multi-classifiers utilizing feature interaction descriptor,"Toyota Central R&D Labs, Japan","Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan","41番1 Yokomichi, Nagakute, Aichi Prefecture 480-1192, Japan",35.16898430,137.05429210,company, 3e64282d305b77b39b02e820cfcba2f1e5544793,Boosted multi-class object detection with parallel hardware implementation for real-time applications,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 3e6613d86fd9c814afe056838a75e89cc025224d,Face reconstruction and recognition using a statistical model combining shape and spherical harmonics,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu, +3e59a900cecbe5dddaddea51f97fb7d12d99b44b,Affordance learning and inference based on vision-speech association in human-robot interactions,China,China,China,35.86166000,104.19539700,edu, 3ed5fc6e27dea4c99b68dd1df3dae127a6bda0d6,Synergy of Lip-Motion and Acoustic Features in Biometric Speech and Speaker Recognition,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, 3e1190655cc7c1159944d88bdbe591b53f48d761,Ensemble canonical correlation analysis,Bogazici University,Bogazici University,"Boğaziçi Üniversitesi Kuzey Yerleşkesi, Okulaltı 1. Sokak, Rumelihisarı, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34467, Türkiye",41.08688410,29.04413167,edu, 3ea1057e765431733532e7b70e6929c75b977aa1,Low-Resolution Face Tracker Robust to Illumination Variations,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 3ed22ecc6b3a4c89d07d59c21b7050a277e4e950,Face detection and recognition method based on skin color and depth information,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, 3e0035b447d0d4e11ceda45936c898256f321382,Combining shape regression model and isophotes curvature information for eye center localization,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904,Dynamic locally connected layer for person re-identification,China,China,China,35.86166000,104.19539700,edu, +3e4d8bd8cb917db9bad1ed4382ccb266ab5fa411,Toward Efficient Simultaneous Detection and Segmentation,China,China,China,35.86166000,104.19539700,edu, 3ed46ef5344927a30d71089ae203c9a9e35e4977,Face detection: A deep convolutional network method based on grouped facial part,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 3e2b9ffeb708b4362ebfad95fa7bb0101db1579d,"A Spontaneous Micro-expression Database: Inducement, collection and baseline",University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +3efe2e245fd1a80e837f9c4eb57c4971c644ee6e,Linear discriminant analysis using sparse matrix transform for face recognition,China,China,China,35.86166000,104.19539700,edu, +c7e00a3f01c54e033e5664bec1c6df82fd5c7572,Classifier Feature Extraction Techniques for Face Recognition System under Variable Illumination Conditions,India,India,India,20.59368400,78.96288000,edu, c722c3afd37649f1f4c5ac9029c18206c7378ed1,Learning and predicting on-road pedestrian behavior around vehicles,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +c70ea40140e2f73e78d9d54335fbacce46d4d0b1,Enhanced collaborative representation based Classification,China,China,China,35.86166000,104.19539700,edu, c7aff56c47c9b26691b420ecfc72caf4901ef606,Face recognition by combining Gabor wavelets and nearest neighbor discriminant analysis,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, c7fa2ac9d03d3bc3877c06ea66710c99c88d56f7,Hierarchical key frames extraction for WCE video,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, c7873037228a009917085556c514a90f9817cb08,3D face recognition via discriminative keypoint selection,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu, @@ -3507,15 +5032,21 @@ c7745f941532b7d6fa70db09e81eb1167f70f8a7,Rank-one Projections with Adaptive Marg c71d2ea6cad37e318289d02f20d393c85de5cc21,Structure Preserving Sparse Coding for Data Representation,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, c7c005e7875582e0a207cf1a48ca4ee51e073580,"Correctness Prediction, Accuracy Improvement and Generalization of Stereo Matching Using Supervised Learning",Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, c7efe52121f526791f5b414d60aa3e97bc058aef,Gappy wavelet neural network for 3D occluded faces: detection and recognition,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" +c7657e8c546ecf2987fea4d27df17992a4822aed,The AISL head orientation database and preliminary evaluations,"Politeknik Elektronika Negeri Surabaya, Indonesia","Politeknik Elektronika Negeri Surabaya, Indonesia","Kampus ITS, Jl. Raya ITS, Keputih, Sukolilo, Kota SBY, Jawa Timur 60111, Indonesia",-7.27659500,112.79385750,edu, c7592f3e2de1bbebc3b030a2247b006d53b2173a,Visual-Attention-Based Background Modeling for Detecting Infrequently Moving Objects,IBM Almaden Research Center,IBM Almaden Research Center,"IBM Almaden Research Center, San José, Santa Clara County, California, USA",37.21095605,-121.80748668,company, c7abfb920bbd82e117411817b32b5dc31d04eecb,On the application of AAM-based systems in face recognition,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, c78dfcc119e5a88ca5f4ce6787b2e99cd1e350b8,Image Projection Ridge Regression for Subspace Clustering,Shandong University of Science and Technology,Shandong University of Science and Technology,"山东科技大学, 579, 前湾港路, 牛王庙, 北下庄, 黄岛区 (Huangdao), 青岛市, 山东省, 266500, 中国",36.00146435,120.11624057,edu, +c7251a6455f405153df0290c25c25c085fda66c9,Recent advances in human behaviour understanding: A survey,India,India,India,20.59368400,78.96288000,edu, c77bf2471d578707114d50d3e426df9aed70d1f0,Monocular optical flow navigation using sparse SURF flow with multi-layer bucketing screener,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, f28ef0a61a45a8b9cd03aa0ca81863e1d54a31d1,An accurate eye pupil localization approach based on adaptive gradient boosting decision tree,"State Grid Shanghai Electric Power Company, Shanghai, China","Electric Power Research Institute, State Grid Shanghai Electric Power Company Shanghai, 200093, China","Shanghai, China",31.23039040,121.47370210,edu, f2ba98d57341a11a7c193cf7b4e82d22947644b2,Discriminant-component eigenfaces for privacy-preserving face recognition,Iowa State University,Iowa State University,"Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA",42.02791015,-93.64464415,edu, f24e13dd7b70daaeca7a7395cd83c2ece4587b20,Art Critic: Multisignal Vision and Speech Interaction System in a Gaming Context,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, +f28fb0dd4187325b03ea3c82a21e6a34e788847f,Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013,Technical University of Munich,"Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany","Boltzmannstraße 3, 85748 Garching bei München, Germany",48.26301100,11.66685700,edu, +f25295b1ed1e8dbcf6bfe17db294d0ab32802633,Latent subcategory models for pedestrian detection with partial occlusion handling,"Istituto Italiano di Tecnologia, Genova, Italy","Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy","Genoa, Metropolitan City of Genoa, Italy",44.40564990,8.94625600,edu, +f28c5a652ddf5985befa74ffcaa97b1bf301c1ed,Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation,China,China,China,35.86166000,104.19539700,edu, f2abeb1a8dd32afb9a78856db38e115046afeb34,Interactive facial sketch expression generation using local constraints,University of Tokushima,The University of Tokushima,"大学前, 国道11号, 徳島市, 徳島県, 四国地方, 770-0815, 日本",34.07880680,134.55898100,edu, f2cc459ada3abd9d8aa82e92710676973aeff275,Object class recognition using range of multiple computer vision algorithms,South East European University,South East European University,"Универзитет на Југоисточна Европа, 335, Мајка Тереза, Тетово, Општина Тетово, Полошки Регион, 1200, Македонија",41.98676415,20.96254516,edu, +f2eb772eca9b391659376c1262231297386202be,A palmprint based recognition system for smartphone,"National Institute of Technical Teachers' Training & Research, Kolkata, Salt Lake, Kolkata-700106, India","National Institute of Technical Teachers' Training & Research, Kolkata, Salt Lake, Kolkata-700106, India","FC Block, Sector III, Salt Lake City, Kolkata, West Bengal 700106, India",22.58175680,88.40802590,edu, f249b2de6eacb5598abf3046fbb2efb9f15f3fcc,Towards Accessories-Aware Ear Recognition,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, f2902f5956d7e2dca536d9131d4334f85f52f783,Facial age estimation using Clustered Multi-task Support Vector Regression Machine,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, f2779f470ff7be49b64289ba52c692e5eed67fc2,Dictionary Alignment With Re-Ranking for Low-Resolution NIR-VIS Face Recognition,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, @@ -3525,6 +5056,7 @@ f2d15482e7055dd5f54cf4a8a8f60d8e75af7edf,High frequency compensated face halluci f20ed84abcb1223f351a576ef10dfda9f277326b,Face recognition based on LBPH and regression of Local Binary features,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, f2d605985821597773bc6b956036bdbc5d307386,Sharable and Individual Multi-View Metric Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, f27c685b8f006cd9594266d98efc17bbf64d2d7f,ElasticCore: A Dynamic Heterogeneous Platform With Joint Core and Voltage/Frequency Scaling,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, +f23cd33ea1020d0fc82fc6e5f65a87d8e3edb3b5,Lip segmentation with the presence of beards,China,China,China,35.86166000,104.19539700,edu, f25ad1aa804dd6f7cfb9b02afa371fe1b9bf4378,Sentioscope: A Soccer Player Tracking System Using Model Field Particles,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu, f201baf618574108bcee50e9a8b65f5174d832ee,Viewpoint-Consistent 3D Face Alignment,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, f2eab39cf68de880ee7264b454044a55098e8163,Discriminative K-SVD for dictionary learning in face recognition,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, @@ -3540,17 +5072,28 @@ ca26e9329459c6bd0122da7dc6339301952c1a3f,Gabor-based texture representation in A ca458f189c1167e42d3a5aaf81efc92a4c008976,Double Shrinking Sparse Dimension Reduction,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, ca2cd1781eb06c42f7b9a0f4955a05416ccddfd9,A Soft Time Synchronization Framework for Multi-Sensors in Autonomous Localization and Navigation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, ca1b0b87d1a21332bb8e9458e5acca4e596f7c83,Estimation system of construction equipment from field image by combination learning of its parts,Shibaura Institute of Technology,Shibaura Institute of Technology,"芝浦工業大学 豊洲キャンパス, 晴海通り, 豊洲2, 豊洲, 富岡一丁目, 江東区, 東京都, 関東地方, 135-6001, 日本",35.66053325,139.79503121,edu, +caed930d54a3f24b86163dd31eee9890ec5b5c5f,Violence detection in crowded scenes using substantial derivative,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, ca37933b6297cdca211aa7250cbe6b59f8be40e5,"Multi-task learning for smile detection, emotion recognition and gender classification",Hanoi University of Science and Technology,Hanoi University of Science and Technology,"HUST, Trần Đại Nghĩa, Hai Bà Trưng, Hà Nội, 10999, Việt Nam",21.00395200,105.84360183,edu, +ca4a8f9e15a5d24e3b65413587164723a4421b6f,Consensus-based trajectory estimation for ball detection in calibrated cameras systems,"ICTEAM-ELEN, Université catholique de Louvain, Louvain-La-Neuve, Belgium","ICTEAM-ELEN, Université catholique de Louvain, Louvain-La-Neuve, Belgium","Avenue Georges Lemaitre 4, 1348 Ottignies-Louvain-la-Neuve, Belgium",50.66921150,4.62399960,edu, ca97777cc2d4be87ec7e7b50dc8c2390dfcd4546,Reconstruction of 3D dynamic expressions from single facial image,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +ca3e88d87e1344d076c964ea89d91a75c417f5ee,Indian Movie Face Database: A benchmark for face recognition under wide variations,"PSYEC, India","PSYEC, India","Arasanoor, Thirumansolai Post, Sivaganga Dist., Sivaganga, Tamil Nadu 630561, India",9.84898340,78.34573610,edu, ca537e1726a8d8c371a71bbd6d9098774ab51955,3D Reconstruction of “In-the-Wild” Faces in Images and Videos,University of Exeter,University of Exeter,"University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK",50.73693020,-3.53647672,edu, cade16378ca4815ea006be13e2d4a2fbd7baa3c5,Shared parts for deformable part-based models,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu, cae41c3d5508f57421faf672ee1bea0da4be66e0,Palmprint recognition via discriminative index learning,University of Lugano,"Institute of Computational Science, University of Lugano, Switzerland","Via Giuseppe Buffi 13, 6900 Lugano, Switzerland",46.01073700,8.95810900,edu, +caacb99b5cd40992296f914a3bece80059047400,Is pedestrian detection robust for surveillance?,Jiangxi University of Finance and Economics,"Jiangxi University of Finance and Economics, China","Qingshanhu, Nanchang, China, 330000",28.72733900,115.81663300,edu, caa7953cf5480fbdb464ff37f24f7cf9fddd27b0,Image classification based on convolutional neural networks with cross-level strategy,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, ca960c0f6fa981070b423eb3390c29882117f47d,Cut-and-Fold: Automatic 3D modeling from a single image,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +ca548fe8e5db29b876115d31544b68add98ae6a8,"Structural, Syntactic, and Statistical Pattern Recognition","Università Ca’ Foscari Venezia, Venezia Mestre, Italy","Università Ca’ Foscari Venezia, Venezia Mestre, Italy","Dorsoduro, 3246, 30123 Venezia VE, Italy",45.43453200,12.32619700,edu, ca839a67ab0e1434e5107eb4db30e63c6607e75b,Computer Vision – ECCV 2016,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +ada063ce9a1ff230791c48b6afa29c401a9007f1,Biometric Recognition,Xinjiang University,"Xinjiang University, Urumqi, China","666 Shengli Rd, Tianshan Qu, Wulumuqi Shi, Xinjiang Weiwuerzizhiqu, China",43.76504700,87.61615300,edu, +ad72a3c74a2eb7a02288e2ec86057a37d80227b2,Balanced Mixture of Deformable Part Models With Automatic Part Configurations,Xi’an Jiaotong University,"Institute of Information and System Sciences, Faculty of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China","28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China",34.25080300,108.98369300,edu, +adba7aaf8a35e7363577caa8de552b873d7fbb9f,Real time face recognition using decision fusion of neural classifiers in the visible and thermal infrared spectrum,Romania,Romania,Romania,45.94316100,24.96676000,edu, ad75330953d9aacc05b5ca1a50c4fed3e7ca1e21,Design and implementation of an affect-responsive interactive photo frame,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, +ad5079e4446d7c4bbf1895d8af56f6d299eb1f0c,Automatic facial expression recognition in real-time from dynamic sequences of 3D face scans,University of Firenze,"University of Firenze, Firenze, Italy","Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, ad26e62e83f706fec34d9393c8e62b22e2c75e45,Object-driven image group annotation,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +ad0863aa16301d7c6617f8b965a64cf58f38594f,Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015,University of Canberra and Australian National University,"University of Canberra and Australian National University, Canberra, Australia","Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, ad8fc03b492590a4282df52fe998d713995d0a0c,Exploring confusing scene classes for the places dataset: Insights and solutions,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +ad3d4b8498748b7724c38c5d2e85f9d4e5913ffa,Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration,"LIGM (UMR 8049), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France","LIGM (UMR 8049), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France","6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France",48.84057900,2.58696800,edu, addf341760e7e97512756f041e7d5d01f9cb1445,Social group formation with mobile cloud services,University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu, ad8bd7016132a2f98ff1f41dac695285e71cc4b1,A face alignment method based on SURF features,"Changchun University of Science and Technology, China",College of electronic and information engineer Changchun University of Science and Technology Changchun China,"7989 Weixing Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130012",43.83467700,125.30313500,edu, ad4d1ecf5c5473c050e11f6876ce148de1c8920a,Matching video net: Memory-based embedding for video action recognition,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, @@ -3560,45 +5103,73 @@ ad339a5fdaab95f3c8aad83b60ceba8d76107fa2,Segmented Linear Subspaces for Illumina ad82805e1fa43c211a802cf6f673f07303de4a90,Eye detection using color information and a new efficient SVM,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, adf38763bf75fd7adc60ccd4990f604e0863bc8e,Deep Understanding of Cooking Procedure for Cross-modal Recipe Retrieval,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, ad50f6899103eff0ee4504e539c38eb965fd1309,Emotion recognition based on a novel triangular facial feature extraction method,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +ad29afdbce160d3749a3685da75bc35b16d64b95,Contrasting and Combining Least Squares Based Learners for Emotion Recognition in the Wild,Boğaziçi University,"Boğaziçi University, Bebek, Istanbul, Turkey","Bebek Mh., 34342 Beşiktaş/İstanbul, Turkey",41.08475710,29.05103990,edu, +ad0dbdd4b0eecf16cd93f8f1f261874f5830f64c,Information-theoretic generalized orthogonal matching pursuit for robust pattern classification,China,China,China,35.86166000,104.19539700,edu, +add9dc1725f8b96d2f7c5e242de29205096e7c98,Deep multi-task learning for gait-based biometrics,University of Malaga,University of Malaga,"Av. de Cervantes, 2, 29016 Málaga, Spain",36.71995060,-4.41609270,edu, +ad9ba7eade9d4299159512d6d5d07d7d3d26ae58,Feature Extraction Based on Maximum Nearest Subspace Margin Criterion,China,China,China,35.86166000,104.19539700,edu, ad9dd9d6a357059a7c9902f1dcb2842c90f32a33,Research on pedestrian detection technology based on improved DPM model,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, adad7446e371d27fdaee39475856e2058f3045e5,A two-stage low complexity face recognition system for face images with alignment errors,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +ad77056780328bdcc6b7a21bce4ddd49c49e2013,Face verification based on deep reconstruction network,China,China,China,35.86166000,104.19539700,edu, ad6c7cc5c0f4ab273fef105ff3761d2c08609a20,Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, +ad6cc071b2585e4bdb6233b7ad8d63e12538537d,Effective multiplicative updates for non-negative discriminative learning in multimodal dimensionality reduction,China,China,China,35.86166000,104.19539700,edu, +add80c86fa2e73637b5630a9e32644784e59379c,Expanding Training Data for Facial Image Super-Resolution,China,China,China,35.86166000,104.19539700,edu, adb6fbff14b660aa6547edbef27c01ff427eba33,Abing: Adjusted Binarized Normed Gradients for objectness measure,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, adf31283550ff810540bad0edd2c8878ac252b20,Investigating the Effect of Illumination and Viewpoint on Image Recognisability,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu, ade2266f249f91767b0949ae600fe1048237e567,Maya Codical Glyph Segmentation: A Crowdsourcing Approach,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, f47108e83398953e5aa56d5c5dd75b950d242f9c,2D projective transformation based active shape model for facial feature location,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, f41d7f891a1fc4569fe2df66e67f277a1adef229,"Combining nonuniform sampling, hybrid super vector, and random forest with discriminative decision trees for action recognition","Samsung SAIT, Korea","Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea","130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea",37.25202260,127.05550190,company, +f4c42c58c6649538c85b85b5357b29793798109b,Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection,"Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA","Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA","665 Elm St, Buffalo, NY 14203, USA",42.89881950,-78.86458720,edu, +f4cf8e1ec82d186303fa8c9e22ed0ff68b55496d,Multiple people tracking from 2D depth data by deterministic spatiotemporal data association,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +f42234d1efc179079e6cc6a26667fc942ed61911,Low-cost face biometry for visually impaired users,"Imavis srl, Italy","Imavis srl, Italy","Largo Pederzana, 2, 40055 Villanova di Castenaso (Bo) BO, Italy",44.50026900,11.43057400,company, +f4b9b5bdb28641fd1a2db0b3730eef02c7bac489,Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds,Qingdao Agricultural University,"College of Science and Information, Qingdao Agricultural University, Qingdao, China","700 Changcheng Rd, Chengyang Qu, Qingdao Shi, Shandong Sheng, China",36.32125900,120.39659000,edu, +f463d1e8170da42bbd133bdded847e2182814a15,Ability of neural network to detect and recognize of faces images in noisy environment,"Alexandria High Institute for Engineering & Technology, Egypt","Alexandria High Institute for Engineering & Technology, Egypt","Mohammed Abou Al Fatoh Hasab, SEMOUHA، Qism Sidi Gabir, Alexandria Governorate 21311, Egypt",31.22113420,29.95009200,edu, f449c85b8ba5fa67ead341c7ad4ec396f4ab2dd6,Sample Weighting: An Inherent Approach for Outlier Suppressing Discriminant Analysis,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, f472cb8380a41c540cfea32ebb4575da241c0288,Cross-dataset learning and person-specific normalisation for automatic Action Unit detection,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, f4b99820202f4b9fb1cbdc77c25eb446f085d6c2,On Random Transformations for Changeable Face Verification,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, f41e80f941a45b5880f4c88e5bf721872db3400f,Differential evolution-based subspace clustering via thresholding ridge regression,Jaypee Institute of Information Technology,Jaypee Institute of Information Technology,"Jaypee Institute of Information Technology, Noida, A-10, National Highway 24 Bypass, Asha Pushp Vihar, Kaushambi, Ghaziabad, Uttar Pradesh, 201001, India",28.63004430,77.37208230,edu, +f4d6361e20be2e472ec064936966a02baf473412,3D face view generation from human drawn sketch: A review,India,India,India,20.59368400,78.96288000,edu, f4ba07d2ae6c9673502daf50ee751a5e9262848f,Real-time multi-view facial landmark detector learned by the structured output SVM,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, f4b5a8f6462a68e79d643648c780efe588e4b6ca,Enforcing similarity constraints with integer programming for better scene text recognition,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, +f4a9b4a3b680ff01e8e2ee7f532161905db91c25,Object segmentation with deep regression,"Institute of Deep Learning, Baidu, Inc., Beijing, 100085, China","Institute of Deep Learning, Baidu, Inc., Beijing, 100085, China","Changping, Beijing, China, 100085",40.07022810,116.35082630,edu, +f4b7dc95389227baf0d3543d135fc2dbebf1c3f0,Principal component analysis based on block-norm minimization,Chongqing Normal University,"College of Computer and Information Sciences, Chongqing Normal University, Chongqing, China","Daxuecheng Middle Rd, Shapingba Qu, Chongqing Shi, China",29.61228900,106.30632000,edu, f4465454811acb2021a46d84d94fc88e2dda00a6,An interactive facial expression generation system,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, dffb4461c45f21d41d85241b63fbd6e2272d4030,Pedestrian detection in depth images using framelet regularization,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +df869aca65cdbcdcc54fdb05e44c62f2b3d006b0,A supervised neighborhood preserving embedding for face recognition,China,China,China,35.86166000,104.19539700,edu, +df3d85ecf8e326774cab59aab75b572fcf9767cc,The novel part-based cascaded regression algorithm research combining with pose estimation,Hainan Tropical Ocean University,"College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China","Jiyang, Sanya, China",18.30806300,109.53513600,edu, df7ff512e8324894d20103fd8ab5da650e4d86db,Linking names and faces by person-based subset clustering,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, dff7c9a7e66eb996f29ff9768d07a61d119aa484,3D facial expression recognition with geometrically localized facial features,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, df30fd76934092a4aacb850bf5ae5520b22083ef,A comparative evaluation of iris and ocular recognition methods on challenging ocular images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +df6216785f64c2c191df4d07012cc1a9f339cc26,Robot 2015: Second Iberian Robotics Conference,University of Malaga,University of Malaga,"Av. de Cervantes, 2, 29016 Málaga, Spain",36.71995060,-4.41609270,edu, df87193e15a19d5620f5a6458b05fee0cf03729f,Emotional expression recognition with a cross-channel convolutional neural network for human-robot interaction,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, df550cb749858648209707bec5410431ea95e027,Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, dfc14e8bd07aeb2b97b3b5129ca511f0d157a6b5,Human detection and tracking over camera networks: A review,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, df767f62a6bf3b09e6417d801726f2d5d642a202,Face Recognition under Varying Lighting Based on the Probabilistic Model of Gabor Phase,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, df9c3dae5b14e739b1507e2e9f9158f933a3d246,Open/closed eye recognition by local binary increasing intensity patterns,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +df1b3b429b97b34df4ee8a11c921ced410cd5372,Advances in face detection techniques in video,India,India,India,20.59368400,78.96288000,edu, df4efcff93c044fdfabd0dbcaa084e8aee5ae8a4,SGL-RFS: Semi-Supervised Graph Learning Robust Feature Selection,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, +df527756b33d1c2722bd005b246f7df75ea0520a,Selective deep ensemble for instance retrieval,China,China,China,35.86166000,104.19539700,edu, df4e60c93b6d3079f633a078b37662130f54a5fc,Multi-gait recognition using hypergraph partition,"Baiyun District Bureau of Justice, Guangzhou, China","Baiyun District Bureau of Justice, Guangzhou, China","100 Xianlie Middle Rd, Yuexiu Qu, Guangzhou Shi, Guangdong Sheng, China",23.13941620,113.30038740,company, df7606059011e0f13f7e0d4cf02574343b21676c,Pain recognition and intensity classification using facial expressions,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, +df3668d32dbd32ddce651a535fa46a7b060d8d6d,Robust 3D human tracking based on Kinect,China,China,China,35.86166000,104.19539700,edu, df3d69acbaf1121798d5c7eddd8094fca3635466,Image reduction operators based on non-monotonic averaging functions,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, +dfbdb4787091f71d27ba6d1e2bbc19b8e160954d,Driver yawning detection based on long short term memory networks,Shanghai University of Engineering Science,"Shanghai University of Engineering Science, Shanghai, China","333 Longteng Rd, Songjiang Qu, Shanghai Shi, China",31.05723000,121.20843700,edu, df33835a29b71264f165dcbad5e3bea3b9b6d20f,An empirical study of visual features for part based model,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 5642bafa7955b69f05c11230151cd59fcbe43b8e,SN-SVM: a sparse nonparametric support vector machine classifier,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu, 56c0f83b7f6a3a9edfa9dec3e2ff65baef089d74,Appearance-based gaze estimation under slight head motion,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 562853ff22c51c7fdd10d613627880006972f9de,Optimal Locality Preserving Projection,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu, 5632ba72b2652df3b648b2ee698233e76a4eee65,Reconstruction of 3D facial image using a single 2D image,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 565590af15af3d02f0b592b2e201e36708e4fe50,Biometric recognition system for challenging faces,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +56fa0872ed73f7acfbfe83677fecb2dbc6eaa2fe,Performance evaluation of incremental training method for face recognition using PCA,India,India,India,20.59368400,78.96288000,edu, 56ffa7d906b08d02d6d5a12c7377a57e24ef3391,Painful data: The UNBC-McMaster shoulder pain expression archive database,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 56874dc2b91a896e4d0395cbb8c017a5731b24aa,Face recognition system using Combined Gabor Wavelet and DCT approach,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +5633425e52156c8d5824d033103b237b1e579539,Eye localization for embedded system,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 56f57786516dcc8ea3c0ffe877c1363bfb9981d2,Online multimodal matrix factorization for human action video indexing,Universidad Nacional de Colombia,"MindLAB Research Group, Universidad Nacional de Colombia, Colombia","Cra 45, Bogotá, Colombia",4.63819380,-74.08404640,edu, +5646fb8250f8c900e5f281665089363abcfbac8a,Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking,China,China,China,35.86166000,104.19539700,edu, 56e470c1a13fca16fc83937701f03fb74ecf2303,Structure-Constrained Low-Rank Representation,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 56e65fae871aca5f7977ed0c33f153efe67707d8,Semantic object removal with convolutional neural network feature-based inpainting approach,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +561bbc758f995894f43351b4267abf9748890705,Expression feature extraction based on difference of Local Binary Pattern histogram sequences,China University of Petroleum,"College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China","China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49号潍坊学院经济管理学院附近",36.71684600,119.18339500,edu, +56370ddb77e57c212e562b600d9299ef0b28184b,FOVEA: A video frame organizer via identity extraction and analysis,"Biometric and Image Processing Laboratory, Università di Salerno, Via Ponte don Melillo, Fisciano, 84084, Salerno","Biometric and Image Processing Laboratory, Università di Salerno, Via Ponte don Melillo, Fisciano, 84084, Salerno","Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy",40.76871180,14.79201790,edu, +560b3895591d7b1631122b995a5c20889b1abd3d,Abnormal human action recognition using average energy images,India,India,India,20.59368400,78.96288000,edu, 5696e95cb9538fe5f5cc27cd47543b62761021b7,A loss combination based deep model for person re-identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 56f759838cb154f540be809d5fad6540457facc8,Face descriptor of AdaBoost Patterns of Oriented Edge Magnitudes (APOEM) for face recognition,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 568ced900cbf7437c9e87b60a17e16f0c1e0c442,A novel algorithm for illumination invariant DCT-based face recognition,"IntelliView Technologies, Calgary, Canada","IntelliView Technologies Inc., Calgary, AB, Canada","205, 327 - 41st Ave NE, Calgary, AB T2E 2N4, Canada",51.08994730,-114.05591380,company, @@ -3609,6 +5180,7 @@ df33835a29b71264f165dcbad5e3bea3b9b6d20f,An empirical study of visual features f 56fb30b24e7277b47d366ca2c491749eee4d6bb1,Using Bayesian statistics and Gabor Wavelets for recognition of human faces,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 56e03f8fcd16332f764352ba6e72c9c5092cac0f,Discriminative Hessian Eigenmaps for face recognition,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, 56e242cf22cc34467f6053fed2eea407d36fb80d,A Spring-Electric Graph Model for Socialized Group Photography,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +56f591b13087b8846c63b5a13e7eada93e25f16f,"Vehicle Detection, Tracking and Behavior Analysis in Urban Driving Environments Using Road Context","Singapore-MIT Alliance for Research and Technology, Singapore","Singapore-MIT Alliance for Research and Technology, Singapore","4 Engineering Drive 3, Singapore 117583",1.29857500,103.77220300,edu, 568988c7c3468b371928688a1414433809142079,Depth Estimation of Face Images Based on the Constrained ICA Model,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 56e25358ebfaf8a8b3c7c33ed007e24f026065d0,V-shaped interval insensitive loss for ordinal classification,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, 8c3754f43d604dfe6d149a051eeaff8c2237f217,A brief review on multi-task learning,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, @@ -3618,81 +5190,141 @@ df33835a29b71264f165dcbad5e3bea3b9b6d20f,An empirical study of visual features f 8c00fe016755483f63c96b5530d259bf815c9d29,"SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition",University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 8c7bceba769762126fd3dae78d622908bb83c3d3,Facial landmark configuration for improved detection,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 8c93907f376fe93b9ec847f5034afd623b9774e6,Spatial pyramid face feature representation and weighted dissimilarity matching for improved face recognition,Hankuk University of Foreign Studies,Hankuk University of Foreign Studies,"외대앞, 휘경로, 이문동, 이문2동, 동대문구, 서울특별시, 02407, 대한민국",37.59539790,127.06304990,edu, +8cc1e76ffcc34b7afa8b7e3c5a2339cf88699868,Person re-identification by deep MAX pooling network,China,China,China,35.86166000,104.19539700,edu, 8c3f7bd8ae50337dd812b370ce4c4ea9375a9f58,Facial action unit intensity estimation using rotation invariant features and regression analysis,University of the Witwatersrand,University of the Witwatersrand,"University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa",-26.18888130,28.02479073,edu, 8c7ee7acf850562e7515a3e01800c98cc393e62b,Joint Head Attribute Classifier and Domain-Specific Refinement Networks for Face Alignment,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +8c4af01a8b6553aa047b2446a4ccd4a92a9218ea,Multi-scale energy optimization for object proposal generation,China,China,China,35.86166000,104.19539700,edu, +8cdc9bb623bf7e587c8ffb9561aaab9a7e1f0a95,Action-vectors: Unsupervised movement modeling for action recognition,India,India,India,20.59368400,78.96288000,edu, +8cedb92694845854f3ad0daf6c9adb6b81c293de,Products appreciation by facial expressions analysis,Delft University of Technology and Sensor Technology,"Delft University of Technology and Sensor Technology, Netherlands Defense Academy","Mekelweg 5, 2628 CD Delft, Netherlands",52.00212560,4.37329820,edu, 8c50869b745fc094a4fb1b27861934c3c14d7199,A study of the effect of subject motion to pulse rate estimation,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, +8c98e81895fb00a0eb91dae680b2384c9d3526f8,Fast and Light Manifold CNN based 3D Facial Expression Recognition across Pose Variations,Beihang University; LIRIS,"Beihang University; LIRIS, Ecole Centrale de Lyon, Beijing, China","Xiaoyuan Middle Rd, Haidian Qu, Beijing Shi, China, 100083",39.98302000,116.35026600,edu, +8c5cf18c456957c63248245791f44a685e832345,Implementation of perceptual resemblance of local plastic surgery facial images using Near Sets,India,India,India,20.59368400,78.96288000,edu, +8c6d1ad5ef6bccb921b8f26e8ac718721cb037a5,Fusion Scheme for Semantic and Instance-level Segmentation,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, +8cc56d82787069ca91ac6bb8133e15da6dfe564c,Multiple person tracking based on slow feature analysis,China,China,China,35.86166000,104.19539700,edu, +8c3a7bb72c59628e9b7982d90525ff9654854946,HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition,China,China,China,35.86166000,104.19539700,edu, +8cded4bbe4202ee81c2b75ebe27f839c87b0755e,Objectness to improve the bag of visual words model,Romania,Romania,Romania,45.94316100,24.96676000,edu, 864be4c09001478ec5a916401430f5099c022e06,Face detection hindering,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, 864fe713fd082585b67198ad7942a1568e536bd2,Group-Sensitive Triplet Embedding for Vehicle Reidentification,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 863b15316453bad8ee8da5ce7c7bc460d74a4bba,Ground-Moving-Platform-Based Human Tracking Using Visual SLAM and Constrained Multiple Kernels,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 86f8dd2a96e1ef9574af1c4cf93f70227f7bfd59,Face alignment based on high order markov random field,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +866dd3a16e035a7c724f8ec02d26e45655f7a002,Human tracking using TLD with Automatic Initiation,China,China,China,35.86166000,104.19539700,edu, 8628cb21f0ba3c270d731646b350a059204d26a4,Wide-area Multi-camera Multi-object Tracking with Dynamic Task Decomposition,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 86c17a68aead58c7e8e26d9d58a857128da7753a,Direction Estimation for Pedestrian Monitoring System in Smart Cities: An HMM Based Approach,"National Institute of Technology, Rourkela",National Institute of Technology Rourkela,"National Institute of Technology, inside the department, Koel Nagar, Rourkela, Sundargarh, Odisha, 769002, India",22.25015890,84.90668557,edu, 86ee4b6b357c7f30009c34163ee7b5eccf6dafa8,Nonparametric semantic segmentation for 3D street scenes,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 8633732d9f787f8497c2696309c7d70176995c15,Multi-objective convolutional learning for face labeling,"Baidu Research, USA","Baidu Research, USA","1195 Bordeaux Dr, Sunnyvale, CA 94089, USA",37.40922650,-122.02366150,company, +868ef52174a7daa12798a931b27b9b270b0ce0fc,Face recognition based on dictionary learning and kernel sparse representation classifier,China,China,China,35.86166000,104.19539700,edu, +86397e61de89beecc5ab675bbd1aa1c48ae889a8,Aggregating Deep Convolutional Feature Maps for Insulator Detection in Infrared Images,China,China,China,35.86166000,104.19539700,edu, 863bf7728f8506b021c2582885905a83d507a0b8,A Multi-Camera Deep Neural Network for Detecting Elevated Alertness in Drivers,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, +86ec0e331dd494533e16dd638661463b7e03edb7,Image representation based PCA feature for image classification,China,China,China,35.86166000,104.19539700,edu, +86e040f940f4b6399aaf41eb3f86b3cb948ee7dc,Tracklet association based multi-target tracking,China,China,China,35.86166000,104.19539700,edu, +861a832b87b071a5d479186bbb2822f9ddbb67e4,Name-face association with web facial image supervision,China,China,China,35.86166000,104.19539700,edu, 86afb1e38a96f2ac00e792ef353a971fd13c8474,How interesting images are: An atypicality approach for social networks,University of Hawaii,University of Hawaii,"University of Hawaii at Manoa, Bachman Place, Lower Mānoa, Moiliili, Honolulu, Honolulu County, Hawaii, 96848, USA",21.29827950,-157.81869230,edu, 865d4ce1751ff3c0a8eb41077a9aa7bd94603c47,Emotion recognition in the wild via sparse transductive transfer linear discriminant analysis,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 8607209d9596d2b026ff75ac051f6e7ef296b7a2,Scale Invariant Feature Transform Flow trajectory approach with applications to human action recognition,Macau University of Science and Technology,Macau University of Science and Technology,"Universidade de Ciência e Tecnologia de Macau 澳門科技大學 Macau University of Science and Technology, 偉龍馬路 Avenida Wai Long, 氹仔Taipa, 氹仔舊城區 Vila de Taipa, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, 澳門 Macau, 853, 中国",22.15263985,113.56803206,edu, 86fa086d02f424705bbea53943390f009191740a,Precise eye localization with improved SDM,"Samsung SAIT, Korea","Advanced Media Lab. Samsung Advance Institute of Technology, Republic of Korea","130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea",37.25202260,127.05550190,company, 86d827a84e9f9bbd27e87c5b2199c79e34427369,Visual search guided by an efficient top-down attention approach,"Universidade Federal de Pernambuco, Brazil","Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil","Av. Jorn. Aníbal Fernandes, s/n - Cidade Universitária, Recife - PE, 50740-560, Brazil",-8.05566810,-34.95157800,edu, +8613fef2738325a5697e253276b160099100528d,Time-varying LSTM networks for action recognition,China,China,China,35.86166000,104.19539700,edu, 86056abdd2f2dabfd733227196d633166793f7dd,Situation recognition using image moments and recurrent neural networks,University of Central Punjab,University of Central Punjab,"University of Central Punjab, Khyaban-e-Jinnah, PECHS, Wapda Town, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54000, ‏پاکستان‎",31.44661490,74.26797620,edu, 86b1a527a005a5b92af9b974f97ec9925d493d22,Bayes optimal kernel discriminant analysis,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, 8686b15802529ff8aea50995ef14079681788110,Deformed Graph Laplacian for Semisupervised Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 864d50327a88d1ff588601bf14139299ced2356f,Generating face images based on 3D morphable model,Slovak University of Technology,"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava, Bratislava, Slovakia","Ilkovičova 2961/3, 841 04 Karlova Ves, Slovakia",48.15185320,17.07334460,edu, 866ae642b5b54abf78b4657cb1de24f7d4cca7f2,A spectral based visual matching method for image classification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 861afe3d2ddaedffb107b7040c67dac392731929,Prime Discriminant Simplicial Complex,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +86aad14460b12536985620c6de043d4c11485444,Smooth sparse representation for noise robust face super-resolution,"Wuhan Institute of Technology, China","Wuhan Institute of Technology, China","693 Xiongchu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073",30.50203760,114.39018220,edu, a8affc2819f7a722a41bb913dea9149ee0e23a1f,Smile detection in unconstrained scenarios using self-similarity of gradients features,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, a8760dc83e8cb88f241cc206855fbbad680889a0,Bregman learning for generative adversarial networks,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, +a8f92b47df845b437dbf10b828a742006b75fd27,Flexible tracklet association for complex scenarios using a Markov Logic Network,"ONERA, Palaiseau, France","ONERA - The French Aerospace Lab, F-91761 Palaiseau, France","8 Chemin de la Hunière, 91120 Palaiseau, France",48.71467230,2.23270940,edu, a8202c74e9df5e7557c90c6e27996aa53b71fe48,Reduced-Reference Quality Assessment of Screen Content Images,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +a86479f15fb728b29f98c9adfbc6b06a3d3c83fc,Intensified regularized discriminant analysis technique,India,India,India,20.59368400,78.96288000,edu, +a815bdb576d8b3b85c2671c58c6263fe07f25fa6,Multi-modality face recognition: An information theoretic approach,India,India,India,20.59368400,78.96288000,edu, a8c58660bf2ee1fddc3ef05ce52c42775eb0b2b7,Multitype Activity Recognition in Robot-Centric Scenarios,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, a81da7746f4f58e7211e65f11e6520144f8c003d,Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +a8c8b7360c45e25ed175828767424bf9690af322,Face 3D biometrics goes mobile: Searching for applications of portable depth sensor in face recognition,"Biometric Laboratory, Research and Academic Computer Network (NASK), Wąwozowa 18, Warsaw, Poland","Biometric Laboratory, Research and Academic Computer Network (NASK), Wąwozowa 18, Warsaw, Poland","Kolska 12, 01-045 Warszawa, Poland",52.25116220,20.97569530,edu, a83f7fd5b94303a42942e53299b1b369d7756ee1,Biometric image processing and recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, a8faeef97e2a00eddfb17a44d4892c179a7cc277,Scalable face labeling in online social networks,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, a89ad89748ed86ae916f0b0143ab61f01e637205,GPU-accelerated image alignment for object detection in industrial applications,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, +a8415394b782e45ac92a7d36f4af3cad47602b25,A Deep Reconstruction CNN for Illumination-robust Face Image Recovery and Recognition,China,China,China,35.86166000,104.19539700,edu, a805c753d65a8b4f56d01af363b61345c5d29a13,Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +a84d6c761fbbc66a3d6e0a5ab8a1dcfc944f6753,Learning a model of facial shape and expression from 4D scans,University of Southern California and USC Institute for Creative Technologies,University of Southern California and USC Institute for Creative Technologies,"12015 E Waterfront Dr, Los Angeles, CA 90094, USA",33.98325260,-118.40417000,edu, a8e7561ada380f2f50211c67fc45c3b3dea96bdb,Illumination Invariant Face Recognition: A Survey,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +4e16ddbf532374b811b7907219c9d35c4ae276ef,Locally linear representation Fisher criterion,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, +4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d,A proposed method for the improvement in biometric facial image recognition using document-based classification,India,India,India,20.59368400,78.96288000,edu, 4e6e5cb93e7e564bc426b5b27888d55101504c50,Analyzing user behavior in online advertising with facial expressions,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, 4e6c23835189943b1c830eafb8be1c09889b23f6,"Multiple-Kernel, Multiple-Instance Similarity Features for Efficient Visual Object Detection",Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 4eb2f74766378c218e01cca0f23db47df00bd1fc,Robust and low complexity obstacle detection and tracking,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +4e082299ae5b9808956dbd52c94e36da5820aa04,Object categorization using self-organization over visual appearance,Finland,Finland,Finland,61.92411000,25.74815110,edu, 4e332c2f05872b56f716b72edc25b73145db4b79,Data insufficiency in sketch versus photo face recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 4e581831d24fd90b0b5228b9136e76fa3e8f8279,LGE-KSVD: Robust Sparse Representation Classification,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +4e6d820c59c4a8f921e60cf78dc657d2a4ff6cac,Combining dynamic texture and structural features for speaker identification,Finland,Finland,Finland,61.92411000,25.74815110,edu, +4e2ad2fb548e9197feed11f03ec4741ebed81d44,Person re-identification based on saliency,Nanjing University of Posts and Telecommunications,"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046",32.10574800,118.93170100,edu, 4efd58102ff46b7435c9ec6d4fc3dd21d93b15b4,"Matching Software-Generated Sketches to Face Photographs With a Very Deep CNN, Morphed Faces, and Transfer Learning",University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, +4ef8462d844f92569b94d92d5a6f5c267a3a7304,Spontaneous Expression Recognition Using Universal Attribute Model,India,India,India,20.59368400,78.96288000,edu, 4e37cd250130c6fd60e066f0c8efb3cbb778c421,"Discriminant Analysis via Joint Euler Transform and $\ell_{2,1}$ -Norm",Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, +4e43408a59852c1bbaa11596a5da3e42034d9380,Efficient facial expression recognition using histogram of oriented gradients in wavelet domain,India,India,India,20.59368400,78.96288000,edu, +4e80d124692d00a88a32559c920579ce80c50a3c,Pedestrian gender classification using combined global and local parts-based convolutional neural networks,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu, 4ede16d1aef065a975ae6f9761e623313aac7295,A Sparse Representation Model Using the Complete Marginal Fisher Analysis Framework and Its Applications to Visual Recognition,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, 4e6830f272eb7dabd42cf14133c57070dbdf212a,Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 4eb8030b31ff86bdcb063403eef24e53b9ad4329,LSTM for dynamic emotion and group emotion recognition in the wild,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu, 4e93d17fddba420dd8de02ce979fd0ed02d19f7d,Nonlinear Sparse Hashing,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 4eb2d6699c17cebad1ccf58014cab271a56032a0,Action detection in office scene based on deep convolutional neural networks,University of Liverpool,University of Liverpool,"Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK",53.40617900,-2.96670819,edu, +4e626b2502ee042cf4d7425a8e7a228789b23856,Aspects of Age Variation in Facial Morphology Affecting Biometrics,"Intelligence Technology Innovation Center, Washington, DC","Intelligence Technology Innovation Center, Washington, DC. king@biometrics.org","Washington, DC, USA",38.90719230,-77.03687070,edu, +4e880a6f35844ffb16bbb1baedcc75ffac8dafaa,Introduction to Deep Learning Business Applications for Developers,"Coimbra, Portugal","Coimbra, Portugal","Coimbra, Portugal",40.20331450,-8.41025730,edu, 4eeccbbb98de4f2e992600482fd6b881ace014bb,Multi-pose Facial Expression Recognition Using Transformed Dirichlet Process,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, +37d18c386548277a6c94d221f0de7f24da7bb8ae,A discriminative graph inferring framework towards weakly supervised image parsing,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 3799e75b49d5b29d2a2a68c934d58ab4984e215c,Scale-invariant sampling for supervised image segmentation,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 3794632e53a463a3b9bf83791ba6f61f1d654a79,Semantic Classification of Heterogeneous Urban Scenes Using Intrascene Feature Similarity and Interscene Semantic Dependency,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +37acfccfa44747f956e4c0c56aa7ed5cd5ecdb85,Vers des Agents Conversationnels Animés Socio-Affectifs,"CNRS-LTCI, Télécom ParisTech, Paris, France","CNRS-LTCI, Télécom ParisTech, Paris, France","46 Rue Barrault, 75013 Paris, France",48.82629430,2.34641880,edu, +37f075b425b5cabc9de37400792b87520f8ef226,Learning rich features from objectness estimation for human lying-pose detection,China,China,China,35.86166000,104.19539700,edu, 377cf44d0ae544d6758b2789ca6c39c1b33716fc,Automatic group activity annotation for mobile videos,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, 378418fdd28f9022b02857ef7dbab6b0b9a02dbe,Intelligent Information and Database Systems,National University of Kaohsiung,National University of Kaohsiung,"國立高雄大學, 中央廣場, 藍田, 藍田里, 楠梓區, 高雄市, 811, 臺灣",22.73424255,120.28349755,edu, 3726d17fd7e57c75b8b9f7f57bdec9054534be5e,A two-stage facial landmark localization method,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +3753b9fcf95b97e2baf952993905cd6dfa8561cb,A discriminant nonnegative tensor factorization method based on sparse representation classifier,China,China,China,35.86166000,104.19539700,edu, 374f13aedbbf2a4dd3b23a74a368127ad68a87b5,Using deep autoencoders for facial expression recognition,Information Technology University,Information Technology University (ITU),"Information Technology University (ITU), Ferozepur Road, Sher Shah Block, Garden Town, Al Noor Town, Lahore District, پنجاب, 54600, ‏پاکستان‎",31.47602990,74.34275260,edu, 373f0b02f61b1256d6df39979f1317d747195a25,Automatic Registration of Vertex Correspondences for 3D Facial Expression Analysis,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, 37eaf94fa6619ee857019937677cb055a2a51bf3,Capturing Temporal Structures for Video Captioning by Spatio-temporal Contexts and Channel Attention Mechanism,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +37866fea39deeff453802cde529dd9d32e0205a5,"Sense beauty via face, dressing, and/or voice",China,China,China,35.86166000,104.19539700,edu, 37179032085e710d1d62a1ba2e9c1f63bb4dde91,Soft Biometrics and Their Application in Person Recognition at a Distance,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu, 37d53c1addb437a1413004424395b43ab09a6e69,An end-to-end generative adversarial network for crowd counting under complicated scenes,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +378eb402cda5928e43644a8859be255cb3ee69dc,Lane Detection Based on Straight Line Model and K-Means Clustering,China,China,China,35.86166000,104.19539700,edu, +37191adce691000583f4ec7d805323514268f8dc,An autopilot system based on ROS distributed architecture and deep learning,China,China,China,35.86166000,104.19539700,edu, +ec06832fe5b4c0629648824414c9de1555e976d4,Incremental learning for bootstrapping object classifier models,UIIS Lab University of Paris-Saclay,"ENSTA ParisTech, UIIS Lab University of Paris-Saclay, 91762 Palaiseau, France","828 Boulevard des Maréchaux, 91120 Palaiseau, France",48.71073390,2.21805010,edu, ec0585295e05bc8d4eb57c597eff7b274d274704,Multi-robot Multiple Hypothesis Tracking for pedestrian tracking with detection uncertainty,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, ec19f55500104f68bc62d3c07e7108e1139ca108,Person re-identification via region-of-interest based features,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, ecca2a2b84ea01ea425b8d2d9f376f15a295a7f5,Multi-Exemplar Affinity Propagation,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, +ec983394f800da971d243f4143ab7f8421aa967c,D-FES: Deep facial expression recognition system,India,India,India,20.59368400,78.96288000,edu, +ec9976aae8042a6ebb8a823510c757a93b11737d,Future Access Enablers for Ubiquitous and Intelligent Infrastructures,University Polytechnica of Bucharest,"University Polytechnica of Bucharest, Bucharest, Romania","Splaiul Independenței 313, București 060042, Romania",44.43860640,26.04949250,edu, +ec52f9e75ff172e290d552b639e1369ed75e2718,Local Binary Pattern features for pedestrian detection at night/dark environment,Panasonic Singapore Laboratories Pte Ltd,Panasonic Singapore Laboratories Pte Ltd,Singapore,1.33648800,103.89329250,edu, ecbe33456daa76b27fe83eee8dbf7a0b827540ed,Intelligence and Security Informatics,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu, -ecac3da2ff8bc2ba55981467f7fdea9de80e2092,Face recognition under varying lighting conditions using self quotient image,Chinese Academy of Science,"Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China","Beijing, China",39.90419990,116.40739630,edu, +ecac3da2ff8bc2ba55981467f7fdea9de80e2092,Face recognition under varying lighting conditions using self quotient image,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, +ec6b3d7ae26d241709df49734b4c1df9d2a27c48,Mental activity detection from EEG records using local binary pattern method,"Elektrik-Elektronik Mühendisliği Dicle Üniversitesi Diyarbakir, Türkiye","Elektrik-Elektronik Mühendisliği Dicle Üniversitesi Diyarbakir, Türkiye","Dicle Üniversitesi Rektörlüğü, 21280 Sur/Diyarbakır, Turkey",37.92030420,40.26582390,edu, +ecb08081539711766acec0d252da13be716ecae3,Multi-Objective Deep CNN for Outdoor Auto-Navigation,China,China,China,35.86166000,104.19539700,edu, +ec54daa878d9c58f16bbe3b929dc0c4999bc8ee7,MultiModal-database-XJTU: An available database for biometrics recognition with its performance testing,"Xi'an Jiaotong Univeristy Guangdong Province Shunde Research Insitute, Foshan, China","Xi'an Jiaotong Univeristy Guangdong Province Shunde Research Insitute, Foshan, 528000, China","28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China",34.25080300,108.98369300,edu, +ece76035af582c2e5ba321fd22d021d948f93e7a,Transfer learning based compressive tracking,China,China,China,35.86166000,104.19539700,edu, +ec3a4dadb9878769d5396483f6e04d9e0db2417d,"A Back Propagation Based Face Recognition Model, using 2D Symmetrical Gabor Features",India,India,India,20.59368400,78.96288000,edu, ec001d5550cf950626f6416cfcccde82806df2ee,Horizontal and Vertical 2DPCA Based Discriminant Analysis for Face Verification Using the FRGC Version 2 Database,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, ecfa56b38ac2b58428d59c9b630b1437a9ff8278,Joint Global and Local Structure Discriminant Analysis,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, ecc4be938f0e61a9c6b5111e0a99013f2edc54b9,Improving the recognition of faces occluded by facial accessories,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +ecb4bab5296224bdedd389cf18748c2ff0050100,Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern,China,China,China,35.86166000,104.19539700,edu, eca4aa7238d232b108847edb62a49e38cdf8115f,Color face recognition based on color image correlation similarity discriminant model,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, ec53d383fc61393c5e95299a5010296c63a67be7,Multi-object tracking using hybrid observation in PHD filter,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +ec75a1c846194cfb0fd202694390c55e24a27728,A union of incoherent spaces model for classification,"Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland","Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland","Route Cantonale, 1015 Lausanne, Switzerland",46.51905570,6.56675760,edu, ecb097261781ece1688919fc638517460e18ab4c,A new network-based algorithm for multi-camera abnormal activity detection,North Dakota State University,North Dakota State University,"North Dakota State University, 15th Avenue North, Fargo, Cass County, North Dakota, 58102, USA",46.89715500,-96.81827603,edu, ec7951e69c7f31dde16072d369491250378f875b,The University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +ec32c8476b5dbf6564bdde991f53cabaf5d6363c,Driver State Analysis Based on Imperfect Multi-view Evidence Support,"Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing, China","Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing, China","Olympic Village, Chaoyang, China",40.00443900,116.38525700,edu, +ec6f1a4b9367675833f0111c44a22ba217fcbd23,Visual Tracking via Constrained Incremental Non-negative Matrix Factorization,China,China,China,35.86166000,104.19539700,edu, 2f43b614607163abf41dfe5d17ef6749a1b61304,Investigating the Periocular-Based Face Recognition Across Gender Transformation,University of North Carolina at Wilmington,University of North Carolina at Wilmington,"University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA",34.22498270,-77.86907744,edu, +2fdb79eac9398a05bc67304f381842a05979c943,Visual Event Recognition in Videos by Learning from Web Data,"Kodak Research Labs, Eastman Kodak Company, Rochester, NY, USA","Kodak Research Labs, Eastman Kodak Company, Rochester, NY, USA","1422 Lake Ave, Rochester, NY 14615, USA",43.20291810,-77.62933270,company, 2f841ff062053f38725030aa1b77db903dad1efb,Crowdsourced saliency for mining robotically gathered 3D maps using multitouch interaction on smartphones and tablets,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +2fe3161791693903f98c89429b275eaaf020e0d0,SRSL: Monocular self-referenced line structured light,"German Research Center for Artificial Intelligence, DFKI Bremen, Robotics Innovation Center, Robert-Hooke-Strae 1, D-28359, Germany","German Research Center for Artificial Intelligence, DFKI Bremen, Robotics Innovation Center, Robert-Hooke-Strae 1, D-28359, Germany","Robert-Hooke-Straße 1, 28359 Bremen, Germany",53.11192180,8.85807880,edu, 2f73203fd71b755a9601d00fc202bbbd0a595110,Micro-expression Analysis by Fusing Deep Convolutional Neural Network and Optical Flow,Kochi University of Technology,"Kochi University of Technology, Kochi, 782-8502, Japan","185 Tosayamadacho Miyanokuchi, Kami, Kōchi Prefecture 782-0003, Japan",33.62081300,133.71975500,edu, 2f88bf279a66bb519dd5a3f3ed975c7747f9a9d5,Features versus Context: An Approach for Precise and Detailed Detection and Delineation of Faces and Facial Features,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, +2f28db98e8250cff29bc64b569801c739036e4ef,Face recognition using modified deep learning neural network,India,India,India,20.59368400,78.96288000,edu, 2f1c5d6cc5fba4a1d6af1adb6b4e7804f0020c2d,What can we learn from accident videos?,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 2f85b98c954bb7d8997f9a9c72be6ebf8f9cad0d,Automated doorway detection for assistive shared-control wheelchairs,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, +2f95509b8e2e7a7ab10e7bace8193e087102f625,A two step method to recover occluded part of face,Zhejiang University Hangzhou,"Artificial Intelligence Institute, Zhejiang University Hangzhou, China","38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027",30.26394400,120.12327900,edu, 2f67d5448b5372f639633d8d29aac9c0295b4d72,Facial expression classification on web images,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +2f065b51547c671ad9267d08f9f428950849ab9f,Fetching Relevant Images and Videos in Keyword Based Search Mechanism with Hypergraph Learning and Similarity Matching,India,India,India,20.59368400,78.96288000,edu, +2f3ec6d666d7b94b63a104f92859199428b77f78,An algorithm for human face detection in color image based on Skin color segmentation,China,China,China,35.86166000,104.19539700,edu, 2f7aa942313b1eb12ebfab791af71d0a3830b24c,Feature-Based Lucas–Kanade and Active Appearance Models,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 2f8df9fb4d51ac5f5a81dc19ea713b94bee20c18,Multi-layer local energy patterns for texture representation and classification,Urmia University,Urmia University,"دانشگاه ارومیه, خیابان اداره گاز (منصور افشار), دانشکده, ارومیه, بخش مرکزی, شهرستان ارومیه, استان آذربایجان غربی, 444655677, ‏ایران‎",37.52914535,45.04886077,edu, 2f62e445470e453cc79d1997173aac45375a1358,Scale-change aware locally adaptive optical flow,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, @@ -3701,12 +5333,14 @@ ec7951e69c7f31dde16072d369491250378f875b,The University of Southampton Multi-Bio 2f837ff8b134b785ee185a9c24e1f82b4e54df04,Local Binary Patterns and Its Application to Facial Image Analysis: A Survey,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 2fc0812940e295041f66757c43d966fb0aba0e2d,Pedestrian detection based on Region Proposal Fusion,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 2fa4b37f91667970150481c37a1f4e294a49b7f0,Person Reidentification via Ranking Aggregation of Similarity Pulling and Dissimilarity Pushing,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +2f04bfc847d5fbb9be47e3297881c9266cbb8ff6,Correlation Filter of Deep Features for Robust Face Recognition,China,China,China,35.86166000,104.19539700,edu, 2f1b521c29ab075a0cd9bbf56ba26ee13d5e4d76,Sparse autoencoder based spatial pyramid facial feature learning,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, fc5100e0760955e26115caa26cad4426947fc691,"Auto feature selection for object detection, can or can't?",Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu, fcc6fe6007c322641796cb8792718641856a22a7,Automatic facial makeup detection with application in face recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, fc7709f209dd66a72050c9c5b105164c228ae438,Face recognition using the principal components of the scatter matrix in the frequency domain,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, fc8fb68a7e3b79c37108588671c0e1abf374f501,Semantic Pooling for Complex Event Analysis in Untrimmed Videos,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, fc7f140fcedfe54dd63769268a36ff3f175662b5,FASTEN: An FPGA-Based Secure System for Big Data Processing,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +fcaad38bf09403b33e5d1e1f4c9edc61413e7d15,A fully neural approach to color facial image recognition,Romania,Romania,Romania,45.94316100,24.96676000,edu, fcb3f7498ae8185ed09ac8445fd9409a4fcc49a4,Monocular 3-D Gait Tracking in Surveillance Scenes,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, fce94bd316dad2e38091549e15aa2d84f2e93943,From Part to Whole: Who is Behind the Painting?,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, fc6913dea5c8341b123f8b085555842c0b45ff85,Face recognition based on weighted multi-channel Gabor sparse representation and optimized extreme learning machines,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, @@ -3717,67 +5351,100 @@ fccd8c1b41f7f7a91b7bbe896b31fa936b5aacbf,Deep pedestrian attribute recognition b fcd3d557863e71dd5ce8bcf918adbe22ec59e62f,Facial landmark localization based on hierarchical pose regression with cascaded random ferns,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, fce7c61dac242ddc992055a08a01e8b2d55f8a8f,Eigen directional bit-planes for robust face recognition,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, fc0630823bc02d8ad7a2b6dfd1e457392ec525cb,Receding Horizon Estimation for Multi-Target Tracking via Random Finite Set Approach,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, +fcb0e0b0b5ba4daae62323d7b26abdc83f80952a,Real-time Analysis and Visualization of the YFCC100m Dataset,University of Kaiserslautern,"University of Kaiserslautern, Kaiserslautern, Germany","Erwin-Schrödinger-Straße 1, 67663 Kaiserslautern, Germany",49.42537740,7.75554960,edu, fc685ef21c4b2db0304b830f6a20e31eb0ec0737,Visualizing and Analyzing Video Content With Interactive Scalable Maps,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +fc3bc272dbd1ba62cb183db35133b0833b3330b2,Infrared image change detection of substation equipment in power system using random forest,China,China,China,35.86166000,104.19539700,edu, fcd360f7eb8c1e9e61bee5d63f6fb500b49989e3,Active affective facial analysis for human-robot interaction,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, fc8030f2e34af8a99b25332683ba62ea18abde17,Image-based gender estimation from body and face across distances,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu, +fcf393a90190e376b617cc02e4a473106684d066,A sparse neighborhood preserving non-negative tensor factorization algorithm for facial expression recognition,China,China,China,35.86166000,104.19539700,edu, +fcb276874cd932c8f6204f767157420500c64bd0,A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition,University of Delhi,"S. S. College of Business Studies, University of Delhi, Delhi, India","Dr. K.N. Katju Marg Rohini Sector 16, PSP Area IV, New Delhi, Delhi 110089, India",28.73285680,77.11882520,edu, fcbfb2744874fa709d72f6dfe37a1202789b1649,Discriminative and Compact Coding for Robust Face Recognition,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, -fc8990088e0f1f017540900bc3f5a4996192ff05,Hierarchical bilinear network for high performance face detection,Chinese Academy of Science,"Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China","Beijing, China",39.90419990,116.40739630,edu, +fc9766fdbe687b3c8b93b6d164357d4918687cb6,A hierarchical method for pedestrian detection with random forests,China,China,China,35.86166000,104.19539700,edu, +fc8990088e0f1f017540900bc3f5a4996192ff05,Hierarchical bilinear network for high performance face detection,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, fc1f1374e45883aac33092401bed89dc0566de7e,Face location with LBP scale transform,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, fc8cc6c3f065daa92f45e6379f407c53ca31f375,Expression robust 3D face recognition by matching multi-component local shape descriptors on the nasal and adjoining cheek regions,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, +fcb9597f75e9e1770df629d784cf03ed87d61d0e,Low cost and processor efficient facial recognition system,India,India,India,20.59368400,78.96288000,edu, fcac68ed896610947dd80ed2d96fa3f5e482d903,Eye on You: Fusing Gesture Data from Depth Camera and Inertial Sensors for Person Identification,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, fc7b34a2e43bb3d3585e1963bb64a488e2f278a0,A Framework of Joint Graph Embedding and Sparse Regression for Dimensionality Reduction,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, +e5256d2798f997e666a71a20fcef35e2bf597349,Evaluation and analysis of illumination normalization methods for face recognition,India,India,India,20.59368400,78.96288000,edu, e5f4583dab0c7bcd9a416771b65721895f110134,Enhancing Image Quality via Style Transfer for Single Image Super-Resolution,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, e5e453771109f60be145c2b09121f7e85fa5b1dc,Face recogntion in open world environment,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, e546572f8205570de4518bcf8d0345465e51d7a0,Residue boundary histograms for action recognition in the compressed domain,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, e559630c5710afb0d5eb8f95141e451393bbcbd9,Factors Influencing The Performance of Image Captioning Model: An Evaluation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, e5745f7ff915808faa6505b18a1d02aac783f5dc,Face hallucination using region-based deep convolutional networks,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +e506788b911aa7f55f44e047b79a242334167d5a,Towards a face recognition method based on uncorrelated discriminant sparse preserving projection,"SIAT, Chinese Academy of Science, Beijing, China","SIAT, Chinese Academy of Science, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, +e533d2321ccdd69f64be60ce1e503c09eb3dfed0,Enhanced face recognition using Cross Local Radon Binary Patterns,India,India,India,20.59368400,78.96288000,edu, e51f1ee5535017e10a5f77100ff892509ec6b221,Rough common vector: A new approach to face recognition,University of Aizu,University of Aizu,"会津大学, 磐越自動車道, 会津若松市, 福島県, 東北地方, 965-8580, 日本",37.52367280,139.93807246,edu, e58b4a2e3990ef8c8bc0c5506f93a2bd04bd6079,A Novel Approach for Detecting Road Based on Two-Stream Fusion Fully Convolutional Network,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, e530b5dbced106b72ecd0d1ef542d2c9eaf00856,ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, e58cc174962bba8a27d2acab99cfee30ee4fbce5,A statistical shape model of the skull developed from a South African population,University of Cape Town,University of Cape Town,"University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa",-33.95828745,18.45997349,edu, e5ea7295b89ef679e74919bf957f58d55ad49489,Gaussian Mixture Models based on the Phase Spectra for Illumination Invariant Face Identification on the Yale Database,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, e5a9b24056782a343ddc903aebc21e6c277a6b2d,People re-identification using two-stage transfer metric learning,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, +e54f6f8220d958450602a3df56153c6b82cc60fa,A scheme of betrayal checking and traitor tracing for confidential image in Internet,China,China,China,35.86166000,104.19539700,edu, e56b80cf274933e3441a32909b949a4f56e18721,Detection of Sudden Pedestrian Crossings for Driving Assistance Systems,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +e5f803e055a3916d3915c2c19a1773d0dab08844,An evaluation framework for auto-conversion of 2D to 3D video streaming using depth profile and pipelining technique in handheld cellular devices,India,India,India,20.59368400,78.96288000,edu, +e5b01b4439ee779b425fdd99732101d0d0a47e7d,Severely Blurred Object Tracking by Learning Deep Image Representations,China,China,China,35.86166000,104.19539700,edu, e57ce6244ec696ff9aa42d6af7f09eed176153a8,Instantaneous real-time head pose at a distance,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, e5c687c8c84f1cdb9d9fbc9b6ff7518ff4d71056,Classifiability-Based Discriminatory Projection Pursuit,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +e51e94cc3c74adf0cccfac3a8035a10016ce8a3b,Lighting difference based wrinkle mapping for expression synthesis,China,China,China,35.86166000,104.19539700,edu, +e577484e5c3ecc6f073faf124468c8ae2f827a0f,Real-time face detection during the night,China,China,China,35.86166000,104.19539700,edu, +e57014b4106dd1355e69a0f60bb533615a705606,Following event detection method based on human skeleton motion analysis by Kinect sensor,China,China,China,35.86166000,104.19539700,edu, e57dccb1d6ceaff28f3372483600c857bae20a90,Non-Iterative Two-Dimensional Linear Discriminant Analysis,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, e5bdd9cdb0845cbc2d1301198cf18f3c0f056161,Enhanced Biologically Inspired Model for Object Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e5a20d65b6569f3ee7b592773632dc9fe6644e58,Analyzing Headlight Flicker Patterns for Improving the Pedestrian Detectability from a Driver,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, +e55f8123c5077dbb0d3531534cc4bbf2bd025f5a,Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization,China,China,China,35.86166000,104.19539700,edu, 0206ebe8a7d587548ce8f4507ab919c43a369014,Adaptive pose priors for pictorial structures,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 025ef3fde2ee852ffabfa726eb6ea95a7d8de802,Face recognition based on Log-Gabor filter binary transformation,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu, +02977d45f759bb913aa9fd32f415e826b788ffd5,Projective structure from facial motion,"Univ. Copenhagen, Denmark","Univ. Copenhagen, Denmark","Nørregade 10, 1165 København, Denmark",55.68023030,12.57240960,edu, +02b589c7e20ecce80938b173ad805cdb2bb0e7e8,An improved frame difference method for moving target detection,China,China,China,35.86166000,104.19539700,edu, 023decb4c56f2e97d345593e4f7b89b667a6763d,Generalized Low Rank Approximations of Matrices,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 02b9e1e24a3d392186673b2f7ebfd2602534e52a,The Chongqing University ChineSe Ear Video Database and its application,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, 026e96c3c4751e1583bfe78b8c28bdfe854c4988,Facial analysis in the wild with LSTM networks,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 02e18aba47210ddb1b55de670cab2100a23b712d,Consistency-Exclusivity Regularized Deep Metric Learning for General Kinship Verification,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 02a5216a20423bfeda6bc49636e7a6ebfcf8576d,Global data association for multi-object tracking using network flows,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +02ecd9318324829709fc9b5ffaec9ae35fd77bf5,Accurate Dynamic Sketching of Faces from Video,"Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY 14650-1816. jiebo.luo@kodak.com","Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY 14650-1816. jiebo.luo@kodak.com","Rochester, NY 14650, USA",43.16046760,-77.61960280,edu, 021a19e240f0ae0554eff814e838e1e396be6572,Face alignment through subspace constrained mean-shifts,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +02fc9e7283b79183eb3757a9b6ddeb8c91c209bb,High-dimensional multimedia classification using deep CNN and extended residual units,India,India,India,20.59368400,78.96288000,edu, 022ec7d1642727b2cc3d9a9d7999ca84a280443f,A comparison of performance of crisp logic and probabilistic neural network for facial expression recognition,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu, 02c777b3683abcea10f6cd4e7aba1501bfe23f9b,Consistent EKF-Based Visual-Inertial Navigation Using Points and Lines,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 02cf88e5ef78eb89c4b22ff301bc1211f5beaae3,Binary neural network based 3D facial feature localization,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +020f5848c11b43ca5f7cf02f9198649895422426,Real-time face alignment with tracking in video,"Sensing and Control Technology Laboratory, Omron Corporation, Japan","Sensing and Control Technology Laboratory, Omron Corporation, Japan",Japan,36.20482400,138.25292400,edu, 02d423de6ee65037ea6c3f4a8f2f269c210fb163,Adaptive Hashing with Sparse Modification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 0247998a1c045e601dc4d65c53282b5e655be62b,Learning to tell brake and turn signals in videos using CNN-LSTM structure,"Toyota Research Institute, North America",Toyota Research Institute - North America,"2311 Green Rd Suite E, Ann Arbor, MI 48105, USA",42.30985050,-83.69329530,company, +023740e2b732448132ecc67594c55f809f2884a9,Depression Estimation Using Audiovisual Features and Fisher Vector Encoding,"INRIA Grenoble Rhone-Alpes, Grenoble, France","INRIA Grenoble Rhone-Alpes, Grenoble, France","655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France",45.21788600,5.80736900,edu, 90ddf1aabf1c73b5fc45254a2de46e53a0bde857,An improved eLBPH method for facial identity recognition: Expression-specific weighted local binary pattern histogram,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 90221884fe2643b80203991686af78a9da0f9791,High level describable attributes for predicting aesthetics and interestingness,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 90aa891d181d918aafdf1a29d8620bc7859294b5,Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu, +90f4b20f4b7115cb84dda22e5e4eb9c50d7fddce,Performance analysis of classifiers for facial expression recognition under constrained settings,India,India,India,20.59368400,78.96288000,edu, 90eb66e75381cce7146b3953a2ae479a7beec539,Hybrid sensing face detection and recognition,US Army Research Laboratory,"US Army Research Laboratory, 2800 Powder Mill Rd, Adelphi, MD 20783, USA","2800 Powder Mill Rd, Adelphi, MD 20783, USA",39.02985870,-76.96380270,mil, 90e8610ffd1550648712d78074236daba6caa58f,Human body parts candidate segmentation using Laws texture energy measures with skin color,Chungnam National University,Chungnam National University,"충남대학교, 대덕사이언스길 2코스, 온천2동, 온천동, 유성구, 대전, 34140, 대한민국",36.37029045,127.34780458,edu, +90614cea8c2ab2bff0343231a26d6d0c9315d6c7,A Comparison of Affine Region Detectors,"INRIA, GRAVIR-CNRS, Montbonnot, France","INRIA, GRAVIR-CNRS, Montbonnot, France","655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France",45.21788600,5.80736900,edu, 90fe4ea1d3c7a6c5efdec3e4429d314d21e6dd52,Continuous tracking in Free Space Optical balloon mesh networks,University of Arkansas at Little Rock,University of Arkansas at Little Rock,"University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA",34.72236805,-92.33830255,edu, 901bd72b9caaf78e096c3d3e015fbbfa5e90c8c1,Sparse Low-Rank Component Coding for Face Recognition with Illumination And Corruption,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, 90dcf6c0b414900c606112c0feff7ff2d68bb94e,Pose and illumination invariant 2D to 3D facial recognition system,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 90ddf36ded1624251acac0b900c42eed3fe37505,Genetic based LBP feature extraction and selection for facial recognition,University of North Carolina at Wilmington,University of North Carolina at Wilmington,"University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA",34.22498270,-77.86907744,edu, +9033ca38cc650a6dc8f7dca967712d1e98aeceef,Performance evaluation of subspace methods to tackle small sample size problem in face recognition,Jawaharlal Nehru University,"Jawaharlal Nehru University, New Delhi - India","New Mehrauli Road, Delhi 110067, India",28.54021400,77.16619490,edu, +903a8db7bac7a2826cd98ae5425d839852274f7d,Like at First Sight: Understanding User Engagement with the World of Microvideos,"Bell Labs, Cambridge, UK","Bell Labs, Cambridge, UK","Cambridge, UK",52.20533700,0.12181700,edu, +9040e6ed20a5e64885e59ea585373663c5551273,Makeup-robust face verification,China,China,China,35.86166000,104.19539700,edu, 9019ad9140383a406b8d87a2dc9a99ab1d16aabb,Effects of the facial and racial features on gender classification,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 90c4a6c6f790dbcef9a29c9a755458be09e319b6,Attention-based LSTM with Semantic Consistency for Videos Captioning,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +90c0a60aa511e74c2f20be1724692c27b5a6ab94,Progressive Shape-Distribution-Encoder for Learning 3D Shape Representation,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, +90ae02da16b750a9fd43f8a38440f848309c2fe0,A review of facial gender recognition,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu, 90ce797fd1218768737f1611cf830a70266e60f4,The ParallelEye-CS Dataset: Constructing Artificial Scenes for Evaluating the Visual Intelligence of Intelligent Vehicles,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 905e3fe7a0da114d6516dc4cfac1c1c2a55213de,Two-dimensional complete neighborhood preserving embedding,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 2b52292f09451cf4c803b52c2995b51d17e96153,Body-structure based feature representation for person re-identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 2b300985a507533db3ec9bd38ade16a32345968e,Laplacian multiset canonical correlations for multiview feature extraction and image recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, 2bd94a9140be6fe58e5431b03a45502b31fe6cda,MultiMedia Modeling,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, 2b3556d1344cb5128b89785ed1b3793b54527fa5,Three-View Surveillance Video Based Face Modeling for Recogniton,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, +2bfd2add86071064bcf3795dbb57bdb1643ce2c4,3D Person Tracking In World Coordinates and Attribute Estimation with PDR,"KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan","KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan","2 Chome-1-15 Ohara, Fujimino, Saitama Prefecture 356-0003, Japan",35.87922290,139.51765570,edu, 2b8c5017633a82b15dbe0047cfc76ffdce462176,A face recognition method robust to pose variation,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, 2bf646a6efd15ab830344ae9d43e10cc89e29f34,Structured AutoEncoders for Subspace Clustering,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549,Why Design Matters: Crowdsourcing of Complex Tasks,Simula Research Laboratory & University of Oslo,"Simula Research Laboratory & University of Oslo, Oslo, Norway","Martin Linges vei 25, 1364 Fornebu, Norway",59.89486240,10.62893450,edu, 2b1129efcbafa61da1d660de3b5c84b646540311,Distributing expressional faces in 2-D emotional space,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 2be1e2f2b7208fdf7a379da37a2097cfe52bc196,Learning to recognize familiar faces in the real world,University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu, +2b2e6e073fe0876fdf96a336cbc14de0217ce070,Ensemble local fractional LDA for face recognition,China,China,China,35.86166000,104.19539700,edu, 2bf37dd0ebaac003e67d11cc869e5e93b13dbd00,Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" +2b2887d7c28f18147094c92fa93acb3d45a42b76,Emergent face orientation recognition with internal neurons of the developmental network,China,China,China,35.86166000,104.19539700,edu, 2b43100a13811b33cc9f905fa1334bfd8b1873ba,A hybrid Genetic Programming approach to feature detection and image classification,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, 2ba64762acdd21046999a2a31e031d339df5e8cf,QG-net: a data-driven question generation model for educational content,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu, 2b2cd0580a741d76dd80ad4b7195f6ae24dd0dab,An Adaptive Strategy For Monocular Visual Odometry,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, @@ -3786,25 +5453,42 @@ e5a20d65b6569f3ee7b592773632dc9fe6644e58,Analyzing Headlight Flicker Patterns fo 2b2f98518464a27c400b52f8c0ae4456dcc314a6,A Gender Recognition System using Shunting Inhibitory Convolutional Neural Networks,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 2ba534b20211586708c7f6300e8c2d6ff2245adb,Camera and lidar fusion for pedestrian detection,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 2bf03e8fb775718ac9730524a176ddd189c0e457,DASM: An open source active shape model for automatic registration of objects,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu, +2b60fe300735ea7c63f91c1121e89ba66040b833,A study on face recognition techniques with age and gender classification,India,India,India,20.59368400,78.96288000,edu, +2ec31c9e87830fe4dfd82748ef6c102ccea23362,Multi-faceted contextual model for person identification in news video,Singapore National University,"Sch. of Comput., Singapore Nat. Univ., Singapore","21 Lower Kent Ridge Rd, Singapore 119077",1.29664260,103.77639390,edu, +2e6776cd582c015b46faf616f29c98ce9cff51a2,Facial expression recognition using kernel canonical correlation analysis (KCCA),China,China,China,35.86166000,104.19539700,edu, 2e32b8a7f86a0e9b3d185411c166cfe0c067a0eb,Multi-Scale Object Detection with Feature Fusion and Region Objectness Network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +2e230fba690287b9cf891adc0a0a089df3a383b1,Zero-Shot Learning via Attribute Regression and Class Prototype Rectification,China,China,China,35.86166000,104.19539700,edu, 2ee04d30e68e327ab84a9444be36758e8fd86b82,Two-stage neural network regression of eye location in face images,AGH University of Science and Technology,AGH University of Science and Technology,"AGH, Władysława Reymonta, Czarna Wieś, Krowodrza, Kraków, małopolskie, 30-059, RP",50.06570330,19.91895867,edu, 2ed7d95588200c8c738c7dd61b8338538e04ea30,Local and holistic texture analysis approach for face recognition,Mahanakorn University of Technology,Mahanakorn University of Technology,"มหาวิทยาลัยเทคโนโลยีมหานคร, 140, ถนนเชื่อมสัมพันธ์, กรุงเทพมหานคร, เขตหนองจอก, กรุงเทพมหานคร, 10530, ประเทศไทย",13.84450465,100.85620818,edu, +2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9,Generic object recognition with boosting,"Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria","Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria","Graz, Austria",47.07071400,15.43950400,edu, +2ef0748522a98f3bd06d7819410fd084e34031eb,Inter-ACT: an affective and contextually rich multimodal video corpus for studying interaction with robots,"Instituto Superior Tecnico , Lisbon, Portugal","Instituto Superior Tecnico , Lisbon, Portugal","Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal",38.73681920,-9.13870500,edu, 2e74cda095fdb1a7100745ff3b19190a1b2d0b0f,Dual Group Structured Tracking,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 2eba2865c0ea8d228f5289b342dba4fa163fae17,Visual speech recognition for isolated digits using discrete cosine transform and local binary pattern features,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 2ee5d3c5197ee6f23bce8af515471c415e8c65d4,A Survey of Techniques for Architecting and Managing Asymmetric Multicore Processors,Oak Ridge National Laboratory,Oak Ridge National Laboratory,"Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA",35.93006535,-84.31240032,edu, +2e27667421a7eeab278e0b761db4d2c725683c3f,Effective human age estimation using a two-stage approach based on Lie Algebrized Gaussians feature,China,China,China,35.86166000,104.19539700,edu, 2e9c9c0d01e6012d530024b2399ab5e77ad31a0e,Gabor-Feature Hallucination based on Generalized Canonical Correlation Analysis for face recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 2e0f1c89c4e099b14c4d77bd406be9f7b78d6f6d,GLA: Global–Local Attention for Image Description,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 2e535b8cd02c2f767670ba47a43ad449fa1faad7,Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, +2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d,Genealogical face recognition based on UB KinFace database,China,China,China,35.86166000,104.19539700,edu, 2e43e602dd3800e08d7660e20a128fea49393d52,Multi-feature fusion based re-ranking for person re-identification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 2ed27364d8bb58990b814dd0d746d8ec419b8d94,Discrete Spectral Hashing for Efficient Similarity Retrieval,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2e0b4fd1c7f49b88ea8ec40ace80f64f54a9215e,Multi-modal metric learning for vehicle re-identification in traffic surveillance environment,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +2e091ec49b3d7a1f5647d9cdb844d72d33c05204,A Privacy Framework for Games & Interactive Media,National University of Ireland Galway Galway,"College of Engineeing & informatics, National University of Ireland Galway Galway, Ireland","Galway, Ireland",53.28390070,-9.06386520,edu, +2e380f51c160ca81e21fcc5ebfab11e9d223c844,Automatic Segmentation of Tree Structure From Point Cloud Data,"Disney Research, Zürich, Switzerland","Disney Research, Zürich, Switzerland","Stampfenbachstrasse 48, 8006 Zürich, Switzerland",47.38047690,8.54299640,company, 2edab301935d1e1faa0859897b617862d4fede63,Robust and efficient face recognition via low-rank supported extreme learning machine,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu, 2e384f057211426ac5922f1b33d2aa8df5d51f57,Describing objects by their attributes,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +2edc56745377adfcf60bdefe0f61064ad49c282e,Gaussian Mixture Model on Tensor Field for Visual Tracking,China,China,China,35.86166000,104.19539700,edu, 2edb87494278ad11641b6cf7a3f8996de12b8e14,Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +2ea247029ac1b8ded60023a369e8d259a8637bd2,Efficient face frontalization in unconstrained images,"Visiting Faculty, CVIT, IIIT Hyderabad, India","Visiting Faculty, CVIT, IIIT Hyderabad, India","IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India",17.44509810,78.34976780,edu, 2e12c5ea432004de566684b29a8e148126ef5b70,Video modeling and learning on Riemannian manifold for emotion recognition in the wild,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2e7e1ee7e3ee1445939480efd615e8828b9838f8,Automatically Detecting Pain in Video Through Facial Action Units,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, +6ffef49187ecfbec6a621d0eb48e0ccc24096e40,Robust tracking via monocular active vision for an intelligent teaching system,China,China,China,35.86166000,104.19539700,edu, 6f22324fab61fbc5df1aac2c0c9c497e0a7db608,Volume structured ordinal features with background similarity measure for video face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 6fdf2f4f7ae589af6016305a17d460617d9ef345,Robust facial landmark localization using multi partial features,Kumamoto University,Kumamoto University,"熊本大学黒髪キャンパス, 熊本菊陽線, 中央区, 熊本市, 熊本県, 九州地方, 860-0863, 日本",32.81641780,130.72703969,edu, +6fe4704e7648200aea1a109634f183d0207c2443,Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering,Hubei University,"Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","Hongshan, Wuhan, China",30.48176100,114.31096000,edu, +6f9c7a5d99a33c25ee384f760108e07f5923ccee,An adaptive approximation image reconstruction method for single sample problem in face recognition using FLDA,Hubei Normal University,"College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, China","11 Cihu Rd, Huangshigang Qu, Huangshi Shi, Hubei Sheng, China, 435002",30.23085290,115.06392200,edu, +6f1735c4222cb5d73ef70506aaae56e2ed496593,EnMS: early non-maxima suppression,Brno University of Technology,"Brno University of Technology, Brno-střed, Czech Republic","1 548 Antonínská Brno-střed Brno Česká republika, 601 90, Czechia",49.20172000,16.60331680,edu, +6fdf9b9a80a2fa9c04a3966587c29d1dde978097,Action Recognition with 3D ConvNet-GRU Architecture,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 6feafc5c1d8b0e9d65ebe4c1512b7860c538fbdc,Smart Facial Age Estimation with Stacked Deep Network Fusion,National Chung Hsing University,National Chung Hsing University,"國立中興大學, 145, 興大路, 積善里, 頂橋子頭, 南區, 臺中市, 402, 臺灣",24.12084345,120.67571165,edu, 6f5309d8cc76d3d300b72745887addd2a2480ba8,KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 6f48e5e258da11e6ba45eeabe65a5698f17e58ef,Online whole-word and stroke-based modeling for hand-written letter recognition in in-car environments,Bosch Research and Technology Center,"Robert BOSCH Research and Technology Center, Palo Alto, CA 94304, USA","4009 Miranda Ave, Palo Alto, CA 94304, USA",37.40048670,-122.13643830,company, @@ -3813,12 +5497,18 @@ e5a20d65b6569f3ee7b592773632dc9fe6644e58,Analyzing Headlight Flicker Patterns fo 6ff8a87d91c9765609e3c12ee101a9ed82718d26,Rank-Constrained Spectral Clustering With Flexible Embedding,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 6f37ba7b7a5e13760e1b5ca6de085118b3fcb670,Knowledge Sharing and Cooperation Based Adaptive Boosting for Robust Eye Detection,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 6fbf3df212eddaca8d3600065b341ad5174ae5c1,Dynamic Behavior Analysis via Structured Rank Minimization,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +6f25be3ed3b3f872c373b151713b0a0992053c90,Pedestrian movement monitoring based on face recognition and RFID recognition,China,China,China,35.86166000,104.19539700,edu, 6f3da2bbba474d872d9a863191824cbc3b3f75c3,Automatic Extraction of Lip Based on Wavelet Edge Detection,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +6f6ce988a13ac08071a0e3349f80b7c8adc7a49d,A detailed survey on 2D and 3D still face and face video databases part II,India,India,India,20.59368400,78.96288000,edu, 6f83a82f7944fc679241b7e1cf9f3e17a6d17550,Preference-Aware View Recommendation System for Scenic Photos Based on Bag-of-Aesthetics-Preserving Features,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, +6f9026627fb31d4cfb08dbcc4ab852945dc42252,Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild,"Università degli Studi di Cagliari, Italy","Università degli Studi di Cagliari, Italy","Via Università, 40, 09124 Cagliari CA, Italy",39.21736570,9.11492180,edu, +99a17a7f9a263ad357cab88b5607ae626139cec7,Pyramidal algorithm for SVM-classification,"UIIP, Minsk, Belarus","UIIP, Minsk, Belarus","vulica Surhanava 6, Minsk 220012, Belarus",53.92014680,27.60330080,edu, 9974ff5429696e815a3c1532577ff4c233b22490,A Minimum Barrier Distance Based Saliency Box for Object Proposals Generation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 99cec3fbef6b7543d3676dbeee1520fd36cd52c3,High-level spatial modeling in convolutional neural network with application to pedestrian detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 9995be96f645dba68e392028cc2c221643241cd9,Restricted Isometry Property for Low-dimensional Subspaces and Its Application in Compressed Subspace Clustering,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 99f1a82f6439ae8280327f7a378512ec1488cd21,Texture classification based low order local binary pattern for face recognition,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, +99e2c2e7748173f16d51f524cf6add081a478a2c,Outfit Recommendation with Deep Sequence Learning,"Institute of Information Engineering, CAS, State Key Laboratory of Information Security, Beijing, China","Institute of Information Engineering, CAS, State Key Laboratory of Information Security, Beijing, China","Minzhuang Rd, Haidian Qu, Beijing Shi, China, 100042",39.97426000,116.21589000,edu, +993cf62bb73e18550cea82e9774ab59e43f5449e,Directional Illumination Estimation Sets and Multilevel Matching Metric for Illumination-Robust Face Recognition,China,China,China,35.86166000,104.19539700,edu, 996ca49f17757a146c0ed4eb4e122ee4af200e06,Image Attribute Adaptation,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 99d06fe2f4d6d76acf40b6da67c5052e82055f5a,Mobile App Classification Method Using Machine Learning Based User Emotion Recognition,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu, 99bc5b7f555485b79726de3f1ec40e5d4d978965,Vision-based crowd pedestrian detection,National Taiwan Normal University,National Taiwan Normal University,"師大分部, 88, 汀州路四段, 萬年里, 文山區, 臺北市, 11677, 臺灣",25.00823205,121.53577153,edu, @@ -3826,73 +5516,116 @@ e5a20d65b6569f3ee7b592773632dc9fe6644e58,Analyzing Headlight Flicker Patterns fo 998b6a419e5ad9ed5b9e83ed43ee9688878505f1,Robust multi-target tracking in outdoor traffic scenarios via persistence topology based robust motion segmentation,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 9984f16ef4dd45d087b3689ef8b8bd42ea74e1d7,Visual feature extraction using variable map-dimension Hypercolumn Model,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 9943c11420390ff2cdc2319d63eb70ff1f803f10,Combining different interesting point detectors for object categorization,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +99081a318ea8b552954e41ca7203dcf91fe2b018,Stereo parallel tracking and mapping for robot localization,University of Zaragoza,"University of Zaragoza, Spain","Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain",41.64206390,-0.90150650,edu, 994853babfbfb9edd78f2745b9f96efdb4b3ec74,Training Flownet on Monkaa Dataset,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +997b9ffe2f752ba84a66730cfd320d040e7ba2e2,Exploiting Objects with LSTMs for Video Categorization,"NTT Media Intelligence Laboratories, Tokyo, Japan","NTT Media Intelligence Laboratories, Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,company, 99a1180c3d39532efecfc5fa251d6893375c91a1,Facial expression recognition based on Gabor features and sparse representation,China University of Petroleum,"College of Information and Control Engineering, China University of Petroleum, Qingdao, 266580, China","China, Shandong, Weifang, Kuiwen, Dongfeng E St, 49号潍坊学院经济管理学院附近",36.71684600,119.18339500,edu, 99b8a24aacaa53fa3f8a7e48734037c7b16f1c40,A Proposal to Improve the Authentication Process in m-Health Environments,Universitat Politècnica de València,"Integrated Management Coastal Research Institute, Universitat Politècnica de València, València, Spain","Camí de Vera, s/n, 46022 València, Valencia, Spain",39.48083760,-0.34095220,edu, 9906a396a67a1b19e98ae8d5d65ca604dfcbf727,Robust visual tracking based on L1 expanded template,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 9904026bcc39ff435b2ce8f5b1e80d735339ac5f,Dual approximated nuclear norm based matrix regression via adaptive line search scheme,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +9963c73b03e4649959f021ef6f4fb1eac0b617d2,Person Reidentification Using Multiple Egocentric Views,"Agency for Science Technology and Research, Institute for Infocomm Research, Singapore","Agency for Science Technology and Research, Institute for Infocomm Research, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, 99a72e8a73ad1a80fcea8c1007909df64ddda8bd,Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 993374c1c9d58a3dec28160188ff6ac1227d02f5,WHoG: A weighted HoG-based scheme for the detection of birds and identification of their poses in natural environments,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 99eb4cea0d9bc9fe777a5c5172f8638a37a7f262,Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +99273db59af7927c5f4bd0df2e424ed7ab655857,Improvement of optical flow in pedestrian detection based on pictorial structure,China,China,China,35.86166000,104.19539700,edu, 9945e46412ccf8a8d2f1d42bc3a5270ac71751f6,Automatic online labeling images via co-active-learning,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, 99a898c0e45ebe96403c6d57afe678ef2517e88c,Automatically discovering local visual material attributes,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu, 99f95595c45bd7a4fe2cffff07850754955e5e2a,RRAM-Based Analog Approximate Computing,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 998244a44f90b3b569f9c93226df70239818ead9,Supervised LLE in ICA Space for Facial Expression Recognition,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 9981201c3ab04cb3ff18b689d01815255bde89c0,Low-Rank Preserving Projections,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +991673d4f9dd08893723549ff3ea866b2dc18047,SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation,"Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil","Centro de Informática, Universidade Federal de Pernambuco, Recife, PE, 50.740-560, Brazil","Av. Jorn. Aníbal Fernandes, s/n - Cidade Universitária, Recife - PE, 50740-560, Brazil",-8.05566810,-34.95157800,edu, +9933357ce4ebb5647925ca8ce39ec68984b4e5a6,AR Timewarping: A Temporal Synchronization Framework for Real-Time Sensor Fusion in Head-Mounted Displays,"Nara Inst. of Science and Technology, Nara, Japan","Nara Inst. of Science and Technology, Nara, Japan","8916番地−5 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan",34.73211210,135.73285850,edu, 9961f1e5cf8fda29912344773bc75c47f18333a0,An automatic decision approach to coal–rock recognition in top coal caving based on MF-Score,Shandong University of Science and Technology,Shandong University of Science and Technology,"山东科技大学, 579, 前湾港路, 牛王庙, 北下庄, 黄岛区 (Huangdao), 青岛市, 山东省, 266500, 中国",36.00146435,120.11624057,edu, 5ac7090b85dfd037a3530c5db8ee131aa9e01920,Pedestrian detection based on combinational holistic and partial features,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 5aae9e5a7a1083fda72023dc2c34f406f4cce866,“Am I your sibling?” Inferring kinship cues from facial image pairs,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, 5a9a8d57df9646acd559b843df3ea891b7b6d026,Cascaded Deep Convolutional Neural Network for Robust Face Alignment,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 5a6dcba2b966b318bc17b24798294d9a510936d0,Matching of Tracked Pedestrians Across Disjoint Camera Views Using CI-DLBP,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, +5a06b8ddb91bcf0d7d1f678584532314acff5b77,Increasing the recognition performance in single image per person problem: Combined common feature subspace,"Elektrik ve Elektronik Mühendisliği Bölümü, Bilecik Üniversitesi, Turkey","Elektrik ve Elektronik Mühendisliği Bölümü, Bilecik Üniversitesi, Turkey","Adapazarı Bilecik Yolu Bilecik Şeyh Edebali Üniversitesi Rektörlüğü, 11230 Gülümbe Köyü/Bilecik Merkez/Bilecik, Turkey",40.18888300,29.96895200,edu, 5a5f0287484f0d480fed1ce585dbf729586f0edc,DISFA: A Spontaneous Facial Action Intensity Database,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, +5a431b5c6676de2c36e16077e522828512092840,Real-time object detection by a multi-feature fully convolutional network,China,China,China,35.86166000,104.19539700,edu, 5ae02b222ecaf7c11dfd07ad4b31b43d69ae8cd7,Design Automation for Intelligent Automotive Systems,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 5a12e1d4d74fe1a57929eaaa14f593b80f907ea3,Learning hierarchical video representation for action recognition,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, +5a41f881700dc4af6e7c0790485345a4cade7307,Manifold-based learning for person re-identification,Danang University of Science and Technology,Danang University of Science and Technology,"54 Nguyễn Lương Bằng, Hoà Khánh Bắc, Liên Chiểu, Đà Nẵng 550000, Vietnam",16.07359750,108.14994570,edu, 5a6012176189639de6517d6515fc1aca58e05c11,A comparison of GEC-based feature selection and weighting for multimodal biometric recognition,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 5a4fe479d3b737dd29c4cd8b1241a050ea7caccf,Near-Duplicate Video Clip Detection Using Model-Free Semantic Concept Detection and Adaptive Semantic Distance Measurement,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +5a88b2b9c77ae830be0b014d4788420f6a748723,Part-based Feature Extraction for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, 5a5f7d39433d68059e513b947a9fde62b5d4d3fe,An attribute learning method for zero-shot recognition,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, 5a3523db70e5a0a24b1a38ea8bd55a25c63972d8,Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 5ac02cd4572b93e5245d7876e446d70df4e01bb5,Toward study of features associated with natural sleep posture using a depth sensor,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 5a74e0b78e6ac5ac32d6c3b7a20c807d57c4c4d1,Human pose search using deep poselets,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +5ab96ace21bf54625f3d18ea11801f540519bd3a,Literature survey on face and face expression recognition,India,India,India,20.59368400,78.96288000,edu, 5a05e438b60e728b862af1a4022131549b7390a3,Combining Holistic and Part-based Deep Representations for Computational Painting Categorization,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +5a5511dd059d732e60c62ef817532689f4e0ab46,An automatic attendance monitoring system using RFID and IOT using Cloud,India,India,India,20.59368400,78.96288000,edu, +5a9103153c7f36d8a28bfd66e89ff05c93129415,Multi-task convolutional neural network for car attribute recognition,China,China,China,35.86166000,104.19539700,edu, 5afe59aa89d2faf093ca83256ec86bd50b8cb5c6,Can We Do Better in Unimodal Biometric Systems? A Rank-Based Score Normalization Framework,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +0d1b8977d9390470577fb595fffccf7c1aba06f5,An effective preprocessing scheme for face recognition based on local Gabor binary pattern histogram sequence,China,China,China,35.86166000,104.19539700,edu, 0d734f1681c116fd6cc50125321b4bc7f1651133,Probabilistic Path Planning using Obstacle Trajectory Prediction,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 0d754504848d071936a5d603c8b3db0c48a3da6d,DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 0d0467736b6479bb4f1f5ac8875fd964c5d44bf2,Histograms of Categorized Shapes for 3D ear detection,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, +0de793e8892725adce2ab86ab710b4e536e6977b,Content Based Image Retrieval based on Wavelet Transform coefficients distribution,"Université Bretagne Occidentale, Brest, France","Univ Bretagne Occidentale, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France; CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France","2 Avenue Foch, 29200 Brest, France",48.39277990,-4.48617790,edu, 0d6765cc4458d7d25577776aa88876240dfc640f,Semantic segmentation based on aggregated features and contextual information,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 0d7fcdb99dc0d65b510f2b0b09d3d3cfed390261,Robust face recognition with class dependent factor analysis,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +0dd5f2d7c30c51995015b7fc8e282fc12c3665e8,RPN+ fast boosted tree: Combining deep neural network with traditional classifier for pedestrian detection,China,China,China,35.86166000,104.19539700,edu, 0d8cec1b3f9b6e25d9d31eeb54d8894a1f2ef84f,Deep Coupled ResNet for Low-Resolution Face Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, -0de1450369cb57e77ef61cd334c3192226e2b4c2,"In defense of low-level structural features and SVMs for facial attribute classification: Application to detection of eye state, Mouth State, and eyeglasses in the wild",Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +0d3b167b52e9f0bf509e3af003ea320e6070b665,Two-level algorithm of facial expressions classification on complex background,Russia,Russia,Russia,61.52401000,105.31875600,edu, +0de1450369cb57e77ef61cd334c3192226e2b4c2,"In defense of low-level structural features and SVMs for facial attribute classification: Application to detection of eye state, Mouth State, and eyeglasses in the wild",Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, 0db1207563a66343cc7cb7b54356c767fc8b876c,ISO-Container Projection for feature extraction,Zhejiang Normal University,Zhejiang Normal University,"浙江师范大学, 688, 迎宾大道, 柳湖花园, 金华市, 婺城区 (Wucheng), 金华市 / Jinhua, 浙江省, 321004, 中国",29.13646725,119.63768652,edu, 0d71d6dfb3ccd6adb1d618662fd02f49f0afba29,A Coarse-to-Refined Matching Method for Multisensor Remote Sensing Image Registration,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 0d62885b3e5a5ecc6e9f22a96319f94711f8fdb6,Socially competent navigation planning by deep learning of multi-agent path topologies,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, d4331a8dd47b03433f8390da2eaa618751861c64,Probabilistic Approach to Realistic Face Synthesis With a Single Uncalibrated Image,"Samsung Advanced Institute of Technology, Samsung Electronics, Gyeonggi-do, Korea","Samsung Advanced Institute of Technology, Samsung Electronics, Gyeonggi-do, Korea","130 Samseong-ro, Maetan 3(sam)-dong, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea",37.25202260,127.05550190,company, d4180d19ce7d6d9574d43bec320915d6562a9dc5,The application of deep learning in computer vision,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, d4fba386caca1b5b2ee35ee5310b5fce50b2b1c3,Analysis of in- and out-group differences between Western and East-Asian facial expression recognition,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, +d4b4020e289c095ce2c2941685c6cd37667f5cc9,Facial expression recognition,India,India,India,20.59368400,78.96288000,edu, +d487142a7b8c84cb47129d91d5837345ccaa88eb,Face recognition using extended LBP features and multilevel SVM classifier,India,India,India,20.59368400,78.96288000,edu, +d4453ec649dbde752e74da8ab0984c6f15cc6e06,An augmented image gradients based supervised regression technique for iris center localization,India,India,India,20.59368400,78.96288000,edu, d49bd0ae6f7c85331f06bbcc36088c621a17922b,CVC-FP and SGT: a new database for structural floor plan analysis and its groundtruthing tool,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu, +d41a3022a3947b724b026175dcd93cc055ee9b7c,Real-time pedestrian detection via hierarchical convolutional feature,India,India,India,20.59368400,78.96288000,edu, d44d911c045a6df610cb4103f1ab09827fab8296,GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, d4a9db51512821094e67daa9873f0ac0aba1a98c,Classification of gait types based on the duty-factor,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, +d4ba8d84358778e1ad4c5a7c55dbce12753a1716,A Discriminant Subspace Learning Based Face Recognition Method,China,China,China,35.86166000,104.19539700,edu, d41bcb0c79f46aca47b9f9b8a779ce80a2a351f9,Research and application of illumination processing method in vehicle color recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +d4efe5177a932305d0ac742b280da1e97a254f0c,"Learning to detect, localize and recognize many text objects in document images from few examples","CNRS, Université de Lyon, Lyon, France","CNRS, Université de Lyon, Lyon, France","7 Passage du Vercors, 69007 Lyon, France",45.72803070,4.82594290,edu, d4df31006798ee091b86e091a7bf5dce6e51ba3e,Face recognition using the classified appearance-based quotient image,Toshiba,"Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan","Japan, 〒212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, 小向東芝町1",35.54931130,139.69201440,company, +d43b6ca9257e9b24f89eb3867f2c04068a78c778,Quantitative evaluation of image information retention by relative phases,India,India,India,20.59368400,78.96288000,edu, d4993a960acf2495654fa7b2b177396b9e705f3a,Spatio-textual user matching and clustering based on set similarity joins,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, d4700db5a8290ad8e501c2d6d93432dcb833092e,Multi-view multi-class object detection via exemplar compounding,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, d4bf98518791e0f9177516d4566ca5146fb09593,Two-dimensional PCA hashing and its extension,Zhejiang Normal University,Zhejiang Normal University,"浙江师范大学, 688, 迎宾大道, 柳湖花园, 金华市, 婺城区 (Wucheng), 金华市 / Jinhua, 浙江省, 321004, 中国",29.13646725,119.63768652,edu, d4b68168186cc48a59b491a4150c6b5370a07abd,Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +d413ab304bd3e6c6e41f2cebf8b0b20edcff3b9a,Ensemble Learning Based on Convolutional Kernel Networks Features for Kinship Verification,China,China,China,35.86166000,104.19539700,edu, d4b61c59188b830b9bbeb346d86f950585204af1,Improvement of image description using bidirectional LSTM,Semnan University,Semnan University,"دانشگاه سمنان, بزرگراه امام رضا, شهرک مسکن مهر مصلی, ناسار, سمنان, بخش مرکزی, شهرستان سمنان, استان سمنان, ‏ایران‎",35.60374440,53.43445877,edu, d44b198e7ab75f2c06257f4129031b5ef5b3d575,Knowledge discovery over community-sharing media: From signal to intelligence,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, +d4026438ce2b92302fa635c05507cf0e888414c0,Influenced factors reduction for robust facial expression recognition,China,China,China,35.86166000,104.19539700,edu, +d44647349c2a4e3705ff347532a159c3f92ab531,Low cost and power CNN/deep learning solution for automated driving,"Automotive Processor, Texas Instruments Incorporated, Bangalore, India","Automotive Processor, Texas Instruments Incorporated, Bangalore, India","No. 66/3, Bagmane Tech Park, Adjacent to LRDE Byrasandra, C V Raman Nagar Post, Bengaluru, Karnataka 560093, India",12.97915310,77.65963340,edu, d4fd1e1febfa9e93066d23ebd1d3fcef83bdc54b,Real-time pedestrian detectionl Using OpenCL,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, d492b06c4eb8eeff00e167b2365d60d4370bac0a,Zero-Shot Learning With Transferred Samples,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, +d4353952a408e1eae8c27a45cc358976d38dde00,Features classification using geometrical deformation feature vector of support vector machine and active appearance algorithm for automatic facial expression recognition,India,India,India,20.59368400,78.96288000,edu, +71f07c95a2b039cc21854c602f29e5be053f2aba,A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework,"Universidad de Las Palmas de Gran Canaria, SIANI, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain","Universidad de Las Palmas de Gran Canaria, SIANI, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain","35017 Las Palmas de Gran Canaria, Las Palmas, Spain",28.08044870,-15.45248380,edu, 712590793270e2f115fbd8891314a413047fccc3,Late Fusion in Part-based Person Re-identification,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, +712f0a7a3a026faf42d017a95fc609644cc9f715,Optimized multiple existence for pedestrian evacuation using geographic map-based path discovery,India,India,India,20.59368400,78.96288000,edu, 7197e4236fe7c24f6b088b16a404128c1bb28a0f,A hierarchical Bayesian network for face recognition using 2D and 3D facial data,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 711b5758434dfa03ab9da1f4add4077766c1cf27,Dangerous human event understanding using human-object interaction model,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 7196b3832065aec49859c61318037b0c8c12363a,Probabilistic modeling of scenes using object frames,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 71d786fdb563bdec6ca0bbf69eba8e3f37c48c6f,Part-based representation and classification for face recognition,University of Campinas (UNICAMP),"Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, 13083-852, Brazil","Universidade Estadual de Campinas - Av. Albert Einstein, 1251 - Cidade Universitária, Campinas - SP, 13083-852, Brazil",-22.81483740,-47.06477080,edu, 71f2175dc19f1c61aecd97c5f7ac70bbd477b961,Fast visual people tracking using a feature-based people detector,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 71a9d7cf8cf1e206cb5fa18795f5ab7588c61aba,Robust Shape-Feature-Vector-Based Face Recognition System,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu, +71d4924367ba5d31d87bf1ac724db3f285b345c1,Recovering background regions in videos of cluttered urban scenes,"Thales UK, Glasgow","Thales UK, Glasgow","1 Linthouse Rd, Glasgow G51 4BZ, UK",55.86648580,-4.33582740,edu, +7143ef99ee9434fa4829a69fc877451497f0b4bc,Efficient logo recognition by local feature groups,China,China,China,35.86166000,104.19539700,edu, 71ca8b6e84c17b3e68f980bfb8cddc837100f8bf,Effective 3D based frontalization for unconstrained face recognition,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 36b13627ee8a5a8cd04645213aabfa917bbd32f5,Edge-Aware Label Propagation for Mobile Facial Enhancement on the Cloud,"Baidu, Inc.","Baidu International Technology (Shenzhen) Company, Ltd., Shenzhen, China","Shenzhen, Guangdong, China",22.54309600,114.05786500,company, +36aa5dd816553ba2e666d2a4b7d2f346e4b56be2,Variable scale and anti-occlusion object tracking method with multiple feature integration,China,China,China,35.86166000,104.19539700,edu, 36679b7ea9eb8418410db7a6e2f15aeaf1b8e059,Weakly Supervised Vehicle Detection in Satellite Images via Multiple Instance Ranking,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 36665db54fa91a07211bd3904924427bed7f897b,3D facial expression recognition using Zernike moments on depth images,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +363ebbebb0d54ff78deb3946806aaa68d5232517,Visual-Based Classification of Figures from Scientific Literature,University of Athens,"University of Athens,, Athens, Greece","Athens 157 72, Greece",37.96819600,23.77868710,edu, 36db84d941f1a3ece8aacbfcdec79234f03aa1d2,Manifold-Based Visual Object Counting,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +366ad07343e304ca3d04269d12bd49cd95f3f5c9,Illumination normalization for robust face recognition using edge-preserving filtering,China,China,China,35.86166000,104.19539700,edu, +36340f697d6c9b64adf4047a38804c0dd5b016dc,Deep convolution network for surveillance records super-resolution,India,India,India,20.59368400,78.96288000,edu, +36d01ab112e0904ed59bb5cbf3a05352547c5a1a,Search-space sorting with hidden Markov models for occluded object recognition,"Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil","Centro de Informática, Universidade Federal de Pernambuco, Recife, PE, 50.740-560, Brazil","Av. Jorn. Aníbal Fernandes, s/n - Cidade Universitária, Recife - PE, 50740-560, Brazil",-8.05566810,-34.95157800,edu, +36c71258d64f9255cfe0a703545b44b25ee0bea5,Mono-vision based moving object detection in complex traffic scenes,"SATIE, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 94235 Cachan, France","SATIE, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 94235 Cachan, France","61 Avenue du Président Wilson, 94230 Cachan, France",48.78871910,2.32721470,edu, +36646992d460e12615a7f6cd249d4aa8626e0987,A hybrid architecture based on CNN for cross-modal semantic instance annotation,"Guangxi Experiment Center of Information Science, Guilin, China","Guangxi Experiment Center of Information Science, Guilin, China","Guilin, Guangxi, China",25.23447900,110.17995300,edu, +36bb93c4f381adca267191811abb8cc7812363f9,Quick retrieval method of massive face images based on global feature and local feature fusion,China,China,China,35.86166000,104.19539700,edu, +36acbadb5b1db1587479fc4595e21e81aaba1f4b,Entropy-cum-Hough-transform-based ear detection using ellipsoid particle swarm optimization,India,India,India,20.59368400,78.96288000,edu, +36cf36021540ad81d86d6148b133751d45caeed5,A 2D Personalized Facial Expression Generation Approach,China,China,China,35.86166000,104.19539700,edu, +3652e841fcd9828f3be9b1e6ba48fa7f1714804d,A Gesture-to-Emotional Speech Conversion by Combining Gesture Recognition and Facial Expression Recognition,China,China,China,35.86166000,104.19539700,edu, 36f7db726f4a6eed1ecdfbc78c7eeb16bc2f213d,Vacant Parking Space Detection Based on Plane-Based Bayesian Hierarchical Framework,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, 36c91d8c2ab00252c6dfd137e74375f5498d7a4f,A Component-Based Framework for Generalized Face Alignment,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 3633b26502ef1697a59722be794947bc510dd0aa,Elastic Shape Models for Face Analysis Using Curvilinear Coordinates,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, @@ -3902,43 +5635,72 @@ d492b06c4eb8eeff00e167b2365d60d4370bac0a,Zero-Shot Learning With Transferred Sam c631a31be2c793d398175ceef7daff1848bb6408,Emotional condition in the Health Smart Homes environment: emotion recognition using ensemble of classifiers,University of São Paulo,"Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, Brazil","Av. Trab. São Carlense, 400 - Centro, São Carlos - SP, 13566-590, Brazil",-22.00703470,-47.89493230,edu, c61eaf172820fcafaabf39005bd4536f0c45f995,Spatio-Temporal Scale Selection in Video Data,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, c67eee5e0ecc020264fae089a08a1abf8c0b6240,Multifeature analysis and semantic context learning for image classification,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +c62e4ef5b459827a13cc1f7015dbf33ea7677e06,Real-Time CPU-Based Large-Scale Three-Dimensional Mesh Reconstruction,"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy","5 Politecnico di Milano, Via Giuseppe Ponzio, 34, 20133 Milano MI, Italy",45.47866980,9.23242090,edu, +c69de80ac804ce2bf7e47974ee984fd8a745a5d7,Privacy-preserving face detection based on linear and nonlinear kernels,China,China,China,35.86166000,104.19539700,edu, c626a9d75dfd73e26cf30793d5ef71527cd9fa95,Novel dataset for fine-grained abnormal behavior understanding in crowd,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, c6f9d500f55201ac56812829fc2d258e4d662a1a,Sparse learning for salient facial feature description,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, c6b73d64390db1aa492b904ca577913f217950a4,Face hallucination method via eigenfaces estimation and Markov high-frequency compensation,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, c6fe64e24184056c16ad87f89f6d8ffed1423611,Generic object recognition with biologically-inspired features,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, c6a4b23ead2dab3d5dc02a5916d4c383f0c53007,An Illumination Processing Algorithm Based on Total Variation Model,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +c6ccc6e1323bbed1479cb5cb0b75e5675b7cbe5b,Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization,China,China,China,35.86166000,104.19539700,edu, +c65cfc9d3568c586faf18611c4124f6b7c0c1a13,A framework for face classification under pose variations,India,India,India,20.59368400,78.96288000,edu, c61f0003e2626f456e56b2356a87d090cded520a,Classification of facial expressions by sparse coding,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, c6e34156d4a303e1ed6d02351c542e42a229653d,Pedestrian detection combining RGB and dense LIDAR data,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu, +c6365f7ae58a4528e01262ad840eff236e77a092,"DIOD: Fast, Semi-Supervised Deep ISAR Object Detection","Shaanxi Rural Commercial Bank Co., Ltd., Shangluo, China","Shaanxi Rural Commercial Bank Co., Ltd., Shangluo, China","Shangluo, Shaanxi, China",33.87042200,109.94047700,edu, c65b71ebb22745504f4374c4caa4939855544e7d,Fast eye localization based on a new haar-like feature,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 4d8327e574409dcd30075a3879cd51175b701c61,3D face recognition based on sparse representation,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, 4d3318ffb97733c5ded63ea82fffb60ccbf6b2b7,Spatiotemporal Coherence-Based Annotation Placement for Surveillance Videos,National Chung Hsing University,National Chung Hsing University,"國立中興大學, 145, 興大路, 積善里, 頂橋子頭, 南區, 臺中市, 402, 臺灣",24.12084345,120.67571165,edu, +4da2a88355cddba0371040ab3f87104797e7a1fa,Person re-identification by using an iterative sparse ranking method,India,India,India,20.59368400,78.96288000,edu, 4dceeb9ab9f53715abacdb8dc7dc77e64be0e295,Two-Dimensional Quaternion Sparse Principle Component Analysis,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, +4dbdf48318339a7ce06317137e7aa664ead783ab,Multiple object tracking based on sparse generative appearance modeling,Polytechnique Montreal,Polytechnique Montr´eal,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada",45.50438400,-73.61288290,edu,"Polytechnique Montreal, Montreal, Quebec, Canada" +4d3335465f818e065ffc70db58db43d07b9d265c,Pedestrian classification in partial occlusion,India,India,India,20.59368400,78.96288000,edu, 4d5c179ffdf09255edadb1bb7233e0c23e55b8b4,Multi-scale behavior learning for multi-object tracking,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, +4d1bdfb6979fc6ca58bc5bbb1f17df074905c220,Multimodal biometrics for enhanced mobile device security,"Boeing Company, Huntington Beach, CA","Boeing Company, Huntington Beach, CA","5301 Bolsa Ave, Huntington Beach, CA 92647, USA",33.74779220,-118.03742280,company, +4d83a25931ff8f73130a4d07e0209fcb3191db4b,Combining texture with geometry for performance enhancement of facial recognition techniques,India,India,India,20.59368400,78.96288000,edu, +4d9a02d080636e9666c4d1cc438b9893391ec6c7,The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, +4d6c3a3f9410ca35eb3389ec7088f5e2c16ec3ea,"Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark","Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia","421 Discovery Dr, Paddys River ACT 2620, Australia",-35.40141670,148.98162610,edu, +4dce568994fb43095067ac893bbc079058494587,Real-time individual 3D facial animation by combining parameterized model and muscular model,China,China,China,35.86166000,104.19539700,edu, 4da3b3888a74365fead3057f34d986c0a439fb84,"HeadFusion: 360${^\circ }$ Head Pose Tracking Combining 3D Morphable Model and 3D Reconstruction",IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 4d8de4dad40faa835e8a01e3aa465e1bb3a996f4,Facial expression analysis across databases,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +4df1bbbd8cb36c8591ace58616d6f64a4e9edfa5,Face hallucination via Cauchy regularized sparse representation,China,China,China,35.86166000,104.19539700,edu, 4da4e58072c15904d4ce31076061ebd3ab1cdcd5,Learning deep facial expression features from image and optical flow sequences using 3D CNN,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 4d4736173a5e72c266e52f3a43bdcb2b58f237a2,Locally nonlinear regression based on kernel for pose-invariant face recognition,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, 4ddd0b6644457a2027fe206cee57121e9493e700,Human detection and tracking in an assistive living service robot through multimodal data fusion,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, 4d0c95aa38dc191db17788f6866726e7ceafe3d3,Locality-constrained framework for face alignment,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4d1f77d9418a212c61a3c75c04a5b3884f6441ba,Hierarchical and Spatio-Temporal Sparse Representation for Human Action Recognition,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, +4dd1c0aabefc54f2936693d0c19f7e32e967c8d9,Full weighting Hough Forests for object detection,Inha University,"Intelligent Technology Laboratory, Inha University, Incheon, Korea","100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea",37.45002210,126.65348800,edu, +4d7fe6bb67a1956b1cfcaa7b4e14ad79d64d3fce,Face verification across age progression using facial feature extraction,IIT-M,IIT-M,"Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India",12.99149290,80.23369070,edu, 85f27ec70474fe93f32864dd03c1d0f321979100,Integrating Local and Global Manifold structures for unsupervised dimensionality reduction,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 8562b4f63e49847692b8cb31ef0bdec416b9a87a,Marginal Representation Learning With Graph Structure Self-Adaptation,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 85cbeac58cb0a6010836ddd8b2d093eabd31767c,Distance Aggregation based Score Fusion for improving person re-identification,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +8598aadd321752e7e767fc3c608706f9104fd0e0,Photo annotation: a survey,Federal University of Ceará,"Federal University of Ceará, Fortaleza, Brazil","R. Cinco, 100 - Pres. Kennedy, Fortaleza - CE, 60355-636, Brazil",-3.74174150,-38.53868620,edu, +850d2697fec9c2bb434907db1c0a11e200f32dbe,Improving Person Re-identification by Body Parts Segmentation Generated by GAN,China,China,China,35.86166000,104.19539700,edu, 85f7f03b79d03da5fae3a7f79d9aac228a635166,Age categorization via ECOC with fused gabor and LBP features,"Institute for Infocomm Research, Singapore","Institute for Infocomm Research, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, 85ccf2c9627a988ebab7032d0ec2d76ec7832c98,Multi-view face detection using Normalized Pixel Difference feature,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, 85d7873b6c865c9ece6af35bb37d54d15f618743,An Improved Approach to the Line-Based Face Recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 852c48452295e48945779491e9f6b076c66d7eee,Efficient access control system based on aesthetic QR code,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu, 85e8c103614cd330596c5d3eb69eb18dcf941435,Estimating intrinsic dimension by sparse convex representation,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +85f641ca9a38cd70392bf6ebd05affcfcd19f13a,BioLab-ICAO: A new benchmark to evaluate applications assessing face image compliance to ISO/IEC 19794-5 standard,Università di Bologna,"C.d.L. Scienze dell'Informazione - Università di Bologna, via Sacchi 3, 47023 Cesena, ITALY","Via Scipione Sacchi, 3, 47521 Cesena FC, Italy",44.13977980,12.24318990,edu, 8525a653d2115ca8f2fa061cd81bd268486ae459,Person re-identification based on hierarchical bipartite graph matching,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 85a136b48c2036b16f444f93b086e2bd8539a498,Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning,OmniVision Technologies Singapore,"OmniVision Technologies Singapore Pte. Ltd., Singapore","4275 Burton Dr, Santa Clara, CA 95054, USA",37.39099960,-121.96450710,edu, +85feb069aa605caf378d030754c478478729c0a2,"Large-scale, drift-free SLAM using highly robustified building model constraints","Institut Pascal, UMR 6602 CNRS, Clermont-Ferrand, France","Institut Pascal, UMR 6602 CNRS, Clermont-Ferrand, France","Campus Universitaire des Cézeaux, 4 Avenue Blaise Pascal, 63178 Aubière, France",45.76035490,3.11091630,edu, 853fc1794892175e2318f55785ca8e2ce6fd7537,FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +85e55a7d2574389c9e9032d9c332dda75d05fb93,Working clothes detection of substation workers based on the image processing,"Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China","Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China","China, Beijing, Haidian, Zhongguancun South 3rd St, 中关村",39.97945600,116.32845670,edu, +85136f57350f29ff299dd13b28885666ae305e57,Improving object visual tracking performance by scene occluder estimation for video surveillance,China,China,China,35.86166000,104.19539700,edu, 85ae6fa48e07857e17ac4bd48fb804785483e268,Gender Estimation Based on Smile-Dynamics,INRIA Méditerranée,"Inria Méditerranée, France","2004 Route des Lucioles, 06902 Valbonne, France",43.61581310,7.06838000,edu,"Inria Méditerranée, France" +8536fd81b568b2c9e567adad83be3a048664ade6,Kernel collaborative representation for face recognition,China,China,China,35.86166000,104.19539700,edu, +8544cce3a7f85e4952acf51c464f1fce15250760,3D Face Recognition Using 3D Alignment for PCA,"Sandia National Labs Albuquerque, NM","Sandia National Labs Albuquerque, NM","CNM Max Salazar Hall (MS), Albuquerque, NM 87106, USA",35.07271410,-106.62843960,edu, 85860d38c66a5cf2e6ffd6475a3a2ba096ea2920,Celeb-500K: A Large Training Dataset for Face Recognition,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 85785ae222c6a9e01830d73a120cdac75d0b838a,Multimedia Database Retrieval,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +856b1e24fcf33dbf0e8bbf07e75c2cf712654b5b,Textual Query of Personal Photos Facilitated by Large-Scale Web Data,"Kodak Research Laboratories, Eastman Kodak Company, Rochester","Kodak Research Laboratories, Eastman Kodak Company, Rochester","1422 Lake Ave, Rochester, NY 14615, USA",43.20291810,-77.62933270,edu, 85badd058bdba2f6b6dd513e9925dfac361d68d9,3-D Face Recognition Using Curvelet Local Features,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +85754413313949f2fce98bfbcb49a18e5897849a,Prediction of pain intensity using multimedia data,"Kamala Nehru Institute of Technology, Sultanpur, India","Kamala Nehru Institute of Technology, Sultanpur, India","Sultanpur - Kadipur Rd, Sultanpur, Uttar Pradesh 228118, India",26.28898160,82.08018080,edu, 854b1f0581f5d3340f15eb79452363cbf38c04c8,Directional Age-Primitive Pattern (DAPP) for Human Age Group Recognition and Age Estimation,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, 490c30b1d6b680be3c5a13552073e4fc10a850dc,Property Inference Attacks on Fully Connected Neural Networks using Permutation Invariant Representations,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, 49290a41fa173f212f2d5aaa0f5761fdcef7f631,Strategies for Quality-aware Video Content Analytics,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +490a0174ec7ea3e838754ec883c2aa5ff52f8221,The analysis of hand gesture based cursor position control during solve an IT related task,University of Dunaujvaros,"Institute of Engineering, University of Dunaujvaros, Dunaujvaros, Hungary","Dunaújváros, Táncsics Mihály u. 1/a, 2400 Hungary",46.96050700,18.93371300,edu, +49bcb014810ff50edefb20eb1411e8cb3c132b99,Convolutional neural networks for class attendance,China,China,China,35.86166000,104.19539700,edu, +4903156f9f0edae78c24f9b9b3348a3a4d20384f,Automated vision-based analysis of levodopa-induced dyskinesia with deep learning,"TRI-UHN, Toronto, ON M5S2E4 Canada","TRI-UHN, Toronto, ON M5S2E4 Canada","550 University Ave, Toronto, ON M5G 2A2, Canada",43.65666030,-79.38991780,edu, 49068538b7eef66b4254cc11914128097302fab8,Difficult detection: A comparison of two different approaches to eye detection for unconstrained environments,"Securics, Colorado Springs, CO","Securics, Inc. Colorado Springs, CO, USA","2805 Jet Wing Dr, Colorado Springs, CO 80916, USA",38.79202200,-104.75308990,company, 49105e6eb5a88b9e1b41c5dc82c5c0170f8f32e3,Predicting types of clothing using SURF and LDP based on Bag of Features,Chulalongkorn University,Chulalongkorn University,"จุฬาลงกรณ์มหาวิทยาลัย, 254, ถนนพญาไท, สยาม, แขวงปทุมวัน, เขตปทุมวัน, กรุงเทพมหานคร, 10330, ประเทศไทย",13.74311795,100.53287901,edu, 496f3d14cf466f054d395a3c71fa2cd6a3dda61d,A fast identity-independent expression recognition system for robust cartoonification using smart devices,Indian Institute of Technology Varanasi,"Indian Institute of Technology (BHU) Varanasi, India","IIT-BHU, Banaras Hindu University Campus, Uttar Pradesh 221005, India",25.26232470,82.98937350,edu, @@ -3946,18 +5708,24 @@ c65b71ebb22745504f4374c4caa4939855544e7d,Fast eye localization based on a new ha 4909ed22b1310f1c6f2005be5ce3349e3259ff6a,Face recognition using AAM and global shape features,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 49b67c48cebb33720d0722192678723141454a57,Learning biased distance metrics with diversity regularizer for person re-identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 4996867811a2b66ff662ac8fc9eec119cf7f0ae7,A novel frontal view synthesis method based on Neighbor Embedding,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +49358915ae259271238c7690694e6a887b16f7ed,Synthesis of expressive facial animations: A multimodal caricatural mirror,"TCTS Lab, Faculté Polytechnique de Mons, Belgium","TCTS Lab, Faculté Polytechnique de Mons, Belgium","Boulevard Dolez 31, 7000 Mons, Belgium",50.45168560,3.95913660,edu, 496d62741e8baf3859c24bb22eaccd3043322126,Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +49455079e54d7d06fd2d5617507947a31d4f9198,LBANN: livermore big artificial neural network HPC toolkit,"Lawrence Livermore National Laboratory, Livermore, CA","Lawrence Livermore National Laboratory, Livermore, CA","7000 East Ave, Livermore, CA 94550, USA",37.68696340,-121.70587520,gov, 49be50efc87c5df7a42905e58b092729ea04c2f5,Beyond Bag-of-Words: Fast video classification with Fisher Kernel Vector of Locally Aggregated Descriptors,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, +49a45e5e296815de821a6bd03b2b5d3c0da2cdb7,Environment perception in racing simulators using Deep Neural Networks,Romania,Romania,Romania,45.94316100,24.96676000,edu, 4963aeb5e5e71671ed7403a576eef82d2d95a267,Robust Head Pose Estimation Using LGBP,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 49e6636cadff564e47f6fee1063648459d92d847,Latent structured models for human pose estimation,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +49fb5306f72a0618093753cebb81c82e031e9f9c,Analyzing the performance of Viola Jones Face Detector on the LDHF database,India,India,India,20.59368400,78.96288000,edu, 495548204b3923d3b1ddf71c805bf6f7f7350ec3,Advances in Visual Computing,Kent State University,Kent State University,"Kent State University, Lester A. Lefton Esplanade, Whitehall Terrace, Kent, Portage County, Ohio, 44242-0001, USA",41.14435250,-81.33982833,edu, 49664965ba3d988c327a05470fa7519f77dd639b,Simulation of Small Social Group Behaviors in Emergency Evacuation,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, 4914ba227a02f1e2aa95cf49b6afd2a8427d5546,Person identification from spatio-temporal volumes,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 498af0c92b41f02ae328857020bc5e01df59c252,Contextual Similarity Regularized Metric Learning for person re-identification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 4915d25f3db7506d9a310bbd53bbb52f521192e9,Object-wise 3D Gaze Mapping in Physical Workspace,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, +4939355a627ec5d3be0ea51bcf8bf6137a965230,Speeding Up HOG and LBP Features for Pedestrian Detection by Multiresolution Techniques,"Robotics and Embedded Systems, Technische Universität München, Garching, Germany","Robotics and Embedded Systems, Technische Universität München, Garching, Germany","Arcisstraße 21, 80333 München, Germany",48.14966000,11.56786020,edu, 4907a834b176dd9053de35f531e1d87f202cbd31,Flexible Edge Arrangement Templates for Object Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 49ddd4adce09b35f28aa5f79c0f1e1cdf928db45,Affect Recognition in a Realistic Movie Dataset Using a Hierarchical Approach,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 49214332796abe6bc4dc9ef18ce4dc7d692bb404,Fast FPGA-Based Multiobject Feature Extraction,Hiroshima University,Hiroshima University,"Hiroshima University 広島大学 東広島キャンパス, 出会いの道 Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu, +18855be5e7a60269c0652e9567484ce5b9617caa,Local Centre of Mass Face for face recognition under varying illumination,India,India,India,20.59368400,78.96288000,edu, 182b627d73de02764498c500aa7fb56cbeb1a424,Entity Competition Network for Video Classification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 1849b903e19b3abfeff7b0c86cc875f6b42b0818,Leveraging weak segmentation for multi-object tracking system,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 189e5a2fa51ed471c0e7227d82dffb52736070d8,Cross-age face recognition using reference coding with kernel direct discriminant analysis,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, @@ -3965,31 +5733,52 @@ c65b71ebb22745504f4374c4caa4939855544e7d,Fast eye localization based on a new ha 18e54b74ed1f3c02b7569f53a7d930d72fc329f5,Robust Multiview Data Analysis Through Collective Low-Rank Subspace,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 183cf20917780d9f9c6fbeae3fd15afddda7eff0,Project OurPuppet: A system to support people with dementia and their caregiving relatives at home,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 187f3ee3bc50a1f2471edc80d707e4fa1cac5b0b,Random Subspace Supervised Descent Method for Regression Problems in Computer Vision,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +189573971c1ef0893d761be1874de2c33a640fc6,Person re-identification by improved Local Maximal Occurrence with color names,China,China,China,35.86166000,104.19539700,edu, +18260aeca5ade8454043f8a2286779d5853b5b32,Discriminant error correcting output codes based on spectral clustering,China,China,China,35.86166000,104.19539700,edu, 1874db58583e6e5aeb98f2329d9e1ba44b8f6022,OPTIMUS:online persistent tracking and identification of many users for smart spaces,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 180bd019eab85bbf01d9cddc837242e111825750,A Content-Adaptive Joint Image Compression and Encryption Scheme,Jinan University,"College of Cyber Security, Jinan University, Guangzhou, China","601 Huangpu W Ave, TianHe GongYuan, Tianhe Qu, Guangzhou Shi, Guangdong Sheng, China",23.12805700,113.34772100,edu, 1860b8f63ce501bd0dfa9e6f2debc080e88d9baa,Local Large-Margin Multi-Metric Learning for Face and Kinship Verification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +186e933fb752b5644b4ea6fa3007ff76b6bf125d,Multiview Matching of Articulated Objects,"Università degli Studi di Genova, Genoa, Italy","Dipartimento di Informatica Bioingegneria Robotica e Ingegneria dei Sistemi, Università degli Studi di Genova, Genoa, Italy","Via All'Opera Pia, 13, 16145 Genova GE, Italy",44.40334230,8.95840120,edu, +18ae7c9a4bbc832b8b14bc4122070d7939f5e00e,Overview of the face recognition grand challenge,NIST,"National Institute of Standards and Technology (NIST), Gaithersburg, MD","100 Bureau Dr, Gaithersburg, MD 20899, USA",39.14004000,-77.21850600,edu, 182268d943926a048ea3f128ae8a3f3679d3dce2,Multiple facial instance for face recognition based on SIFT features,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 18b344b5394988544c386783e7bb8e73e0466e0e,Facial expression recognition using krawtchouk moments and support vector machine classifier,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 188abc5bad3a3663d042ce98c7a7327e5a1ae298,Generalized Projection-Based M-Estimator,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +18f8aa212165426c3862ca65bda1d69c655ec273,A relative 3D scan and construction for face using meshing algorithm,India,India,India,20.59368400,78.96288000,edu, 18a013e1c72cf579d1b215f22d298521047e98a4,Heterogeneous feature fusion-based optimal face image acquisition in visual sensor network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 187110ea2bb38456b73fc50399bd7ce5f622702a,Discriminative Least Squares Regression for Multiclass Classification and Feature Selection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 18df58d5055a01092084b22bf76bef9b1a6d360b,Anchor-supported multi-modality hashing embedding for person re-identification,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +1846ac363068d2db9433fae60a65dc6ee92c2c23,Research and Implementation of Fast Identity Registration System Based on Audio-visual Fusion,China,China,China,35.86166000,104.19539700,edu, 18409c220a0f330c24f0e095653a787813c3c85a,FEEDB: A multimodal database of facial expressions and emotions,Gdansk University of Technology,Gdansk University of Technology,"PG, Romualda Traugutta, Królewska Dolina, Wrzeszcz Górny, Gdańsk, pomorskie, 80-233, RP",54.37086525,18.61716016,edu, 187dc62f5dd88d32db9849bd364abffd1613be9b,Recovering Stable Scale in Monocular SLAM Using Object-Supplemented Bundle Adjustment,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +48121f5937accc8050b0c9bf2be6d1c58b07a8a0,Multi-pose face recognition by dynamic loss weights,China,China,China,35.86166000,104.19539700,edu, 48d4b174736902b6c773c139cbe83588074b03ec,Robust object tracking using enhanced random ferns,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, 48389a4df261a0b0e9d78a04772f2f3b0f75a380,Approximate Low-Rank Projection Learning for Feature Extraction,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 4843c1873bd36b4702ee22b25e09b244849564a0,A novel illumination normalization algorithm for face recognition,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, +4897bb843f0f397d150f4c210a3bd9990db881e3,Face recognition based on an improved center symmetric local binary pattern,China,China,China,35.86166000,104.19539700,edu, 487f9ab19ca6779a014278d93f3e56ff82dac2e3,A robust intelligent face recognition framework using GNP-based multi-agent system,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, 48e681ee58b2615500cad3c69046bfa0f0400a33,LDAHash: Improved Matching with Smaller Descriptors,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, +481e0cb49c1c0340c8a4d9eb31859e3ccf04772a,3D Object Localisation from Multi-View Image Detections,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 48255c9e1d6e1d030728d33a71699757e337be08,Person-independent facial expression recognition via hierarchical classification,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, +485f42b9bf3c5b63b52c34f7f3069a685b355a5d,Masked projection for 3D face recognition under occlusion,"Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda","Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda","5, Drienerlolaan, 7522 NB Enschede, Netherlands",52.23939710,6.85087090,edu, 48daba0289e036c5aba6e360377b72ed6dde674b,Augmented Image Retrieval using Multi-order Object Layout with Attributes,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, +4863333b9e5f25423e273a0581de3edee8bb3b97,Sparse random encoder for age invariant face recognition,Mansoura University,"Faculty of Computers and Information Sciences, Mansoura University, Egypt","Mit Khamis WA Kafr Al Mougi, Mansoura, Dakahlia Governorate, Egypt",31.04230430,31.35192950,edu, 484bac2a9ff3a43a6f85d109bbc579a4346397f5,Finding VIPs - A visual image persons search using a content property reasoner and web ontology,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu, 488601935d69906f925381b92c7ecff069a79dbf,A Multi-Task Framework for Weather Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 48906f609446afcdaacbe1d65770d7a6165a8eee,Storages Are Not Forever,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +483bccc11ef1e665b8e2597f8e4e5f90a7116c40,Expression invariant fragmented face recognition,India,India,India,20.59368400,78.96288000,edu, +48857fa69a4c4e3dced3f6c5b60ec29b6e621feb,Shape based detection and retrieval,India,India,India,20.59368400,78.96288000,edu, 4801256b4ee39e71d5a9a1046c57e3ad4af6735a,"Cascade Attention Networks For Group Emotion Recognition with Face, Body and Image Cues",National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, +48674565d0737bb422406d757c02042759b635ae,A benchmark for semantic image segmentation,Danang University of Technology,"Danang University of Technology, Vietnam","54 Nguyễn Lương Bằng, Hoà Khánh Bắc, Liên Chiểu, Đà Nẵng 550000, Vietnam",16.07359750,108.14994570,edu, +48cf1105eca8049e8625c5b30a69620b2381589c,"Recognizing emotions from videos by studying facial expressions, body postures and hand gestures",Romania,Romania,Romania,45.94316100,24.96676000,edu, +0779ed1e4165803287cf711f4a733d4f98d6827d,Face recognition using weber local circle gradient pattern method,Tianjin University of Science and Technology,"College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, China","13th St, Binhai Xinqu, Tianjin Shi, China, 300457",39.08396100,117.70863100,edu, 07e8420c5528e8d0152424a124ddb92380e32329,Scalable image annotation using a product compressive sampling approach,Information Technologies Institute,Information Technologies Institute,"公益財団法人九州先端科学技術研究所, Fukuoka SRP Center Building 7F, 百道ランプ下り入り口, 早良区, 福岡市, 福岡県, 九州地方, 814-0001, 日本",33.59345390,130.35578370,edu, +072c5665b700c7b5da541bbe7dace1ecc870ab8a,Statistical analysis-based DCT method for face recognition,China,China,China,35.86166000,104.19539700,edu, 07df96b90e4fc588a45df3244b397b80097b5558,Gender classification based on facial surface normals,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +07f47b063577afc98c6717d6bb046fe72aa75b12,Online multiperson tracking with occlusion reasoning and unsupervised track motion model,Queen's University Belfast,"ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK","Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK",54.61417230,-5.90021510,edu, +072457191c91a50bd16df6d211380c9fcc21a057,Tracking-by-detection of multiple persons by a resample-move particle filter,"Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France","Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France","Route de Narbonne, 31330 Toulouse, France",43.56196870,1.47005370,edu, 070c4ef4b278efbfec743e4a578efcdb0aa9c85d,Outlier rejection for visual odometry using parity space methods,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +074e5e8cb359b54142b234a39a40ce898188e4d9,A review: Face recognition techniques for differentiate similar faces and twin faces,India,India,India,20.59368400,78.96288000,edu, +076d909aa2674b29fcbf09b5cd5c200926710c3d,Efficient image search using hybride features and TCH,India,India,India,20.59368400,78.96288000,edu, 072db5ba5b375d439ba6dbb6427c63cd7da6e940,Subspace-Based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST’s Face Recognition Grand Challenge,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0703843838b9cf1240a9459fe5e0fbe3580c63c2,Efficient pedestrian detection with enhanced object segmentation in far IR night vision,Poznan University of Technology,Poznan University of Technology,"Dom Studencki nr 3, 3, Kórnicka, Święty Roch, Rataje, Poznań, wielkopolskie, 61-141, RP",52.40048370,16.95158083,edu, 0750c796467b6ef60b0caff5fb199337d54d431e,Face detection method based on histogram of sparse code in tree deformable model,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu, @@ -4001,14 +5790,21 @@ c65b71ebb22745504f4374c4caa4939855544e7d,Fast eye localization based on a new ha 07d7889bf4b7cb19d4a8d09996311cbec2a3da33,Facial image super resolution using sparse representation for improving face recognition in surveillance monitoring,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, 0786a6d5ce6db8a68cef05bb5f5b84ec1b0c2cde,Naming faces in broadcast news video by image google,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 07a6468d70dd62ce63a90b1b67651729f9c3037a,Pedestrian detection via multi-scale feature fusion convolutional neural network,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +071f824aeb7dd87955727f612e4dc5e8536db3b5,Mirror Mirror on the Wall... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization,"Institute of Computer Science, Foundation for Research and Technology—Hellas, Heraklion, Greece","Institute of Computer Science, Foundation for Research and Technology—Hellas, Heraklion, Greece","Heraklion, Greece",35.33873520,25.14421260,edu, +9c75db3d0abcccef5113db7bafe2fe5ab0559dab,Heterogeneous Similarity Learning for More Practical Kinship Verification,"Yancheng Institute of Technology, Yancheng, China","Yancheng Institute of Technology, Yancheng, China","Tiejun Rd, Tinghu Qu, Yancheng Shi, Jiangsu Sheng, China",33.38451900,120.20280900,edu, 9cda3e56cec21bd8f91f7acfcefc04ac10973966,"Periocular biometrics: databases, algorithms and directions",Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, 9c641dd3ec81b1976ee6ad4c76eb1f9a6d5eb882,Oriented Gradient Context for pedestrian detection,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 9ce5da326d971e1dbda7bfb6bd8a7b92e95a5b72,Depth map prediction from a single image with generative adversarial nets,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu, 9c87036509db08781d442567895f24ea38933912,Exploring automatic extraction of body-based soft biometrics,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu, 9c23859ec7313f2e756a3e85575735e0c52249f4,Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, +9ce2fd6ae16b339886d0ce237faae811230c8ce6,A real time emotional interaction between EEG brain signals and robot,"Tikkurila Oyj, Vantaa, Finland","Tikkurila Oyj, Vantaa, Finland","Tikkurila, 01300 Vantaa, Finland",60.29325390,25.03769440,edu, +9cb5563413dc00dfd24121939fbe27308f4ca031,Multi-frame motion compensation using extrapolated frame by optical flow for lossless Video Coding,Tokyo University of Science,"Tokyo University of Science, Tokyo, Japan","Japan, 〒162-0825 東京都新宿区神楽坂1丁目3",35.69939900,139.74139800,edu, 9c2978428e35f27a851432dd44f1d2721e0e10e3,A traffic object classification pipeline based on CNNs,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +9c2a18691e28a6112cced694564247f56f5c97f3,Learning to look up: Realtime monocular gaze correction using machine learning,Russia,Russia,Russia,61.52401000,105.31875600,edu, 9c336a20b0c4949b180f12a14588dffaa527cb34,Face liveness detection using color gradient features,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 9caacc6001c25ebef373f3cd1746d20450c9480c,Face Recognition Using Ensemble String Matching,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, +9cf3dae2c64f2935b3562364c15eb3b34fe5213d,From Local Geometry to Global Structure: Learning Latent Subspace for Low-resolution Face Image Recognition,China,China,China,35.86166000,104.19539700,edu, +9c16a974756ca43b2bf628358ddb08210857f464,Efficient calculation of the complete optimal classification set,"Control Syst. Centre, UMIST, Manchester, UK","Control Syst. Centre, UMIST, Manchester, UK","Oxford Rd, Manchester M13 9PL, UK",53.46684980,-2.23388370,edu, 9cf5a6270e3339667ea3bda11268b554c953edaf,"Automated Vehicle Detection and Classification: Models, Methods, and Techniques",University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, 9c64863d567da32962eeec15201dee142777f8ef,A robust object detection approach using boosted anisotropic multiresolution analysis,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, 9ceea7b5de9b8f086d46ff1c932d188a9b59e769,Facial Expression Recognition with Data Augmentation and Compact Feature Learning,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, @@ -4020,8 +5816,11 @@ c65b71ebb22745504f4374c4caa4939855544e7d,Fast eye localization based on a new ha 9cf2f38da9650b6a34a4fe00661bd195d7ec9fdc,"Fusing Frequency, Spatial and Color Features for Face Recognition",New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, 9c5bd5e27216f22b6dad96b04673e4ca63d0604c,Online face recognition and learning for cognitive robots,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 9ca93ad6200bfa9dd814ac64bfb1044c3a0c01ce,Noise adaptive binary pattern for face image analysis,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, +9ccaa13a577b20e88420d0a4b8c9545d5560261d,Spatial Data Mining,China,China,China,35.86166000,104.19539700,edu, 9cf27016cb78509c11eabc0b07c5b92b2cefbdf0,A template-based approach to automatic face enhancement,University of Siena,University of Siena,"大學 University, 澤祥街 Chak Cheung Street, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.41338620,114.21005800,edu, d77f18917a58e7d4598d31af4e7be2762d858370,Detecting person presence in TV shows with linguistic and structural features,"Orange Labs, Lannion, France","France Telecom - Orange Labs, Lannion, France","2 Avenue Pierre Marzin, 22300 Lannion, France",48.75416800,-3.45845860,company, +d7173d9dc87234211050f2d2c38ddc78306ac1ef,Model-Assisted Multiband Fusion for Single Image Enhancement and Applications to Robot Vision,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +d79530e1745b33f3b771d0b38d090b40afc04191,A new method to estimate ages of facial image for large database,China,China,China,35.86166000,104.19539700,edu, d7daf70491eb407db4b951861062edeceb8ccd6e,A Novel Genetic Algorithm for 3D Facial Landmark Localization,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, d7a84db2a1bf7b97657b0250f354f249394dd700,Global and local feature based multi-classifier A-stack model for aging face identification,"Swiss Federal Institute of Technology Lausanne, Switzerland","Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland","Route Cantonale, 1015 Lausanne, Switzerland",46.51905570,6.56675760,edu, d7f76415d517e9105437372fd92eefde29e08af4,Robust tracking of facial feature points with 3D Active Shape Models,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, @@ -4029,46 +5828,75 @@ d7d6d2dd2e9c205eccdb59f61ec11746996863ea,Proportional data clustering using K-me d76e0235c3e5f826f99392d3165541a1944308bc,Optimizing Visual Sensor Coverage Overlaps for Multiview Surveillance Systems,Universiti Teknologi Petronas,Universiti Teknologi PETRONAS,"UTP, Universiti Teknologi Petronas, Persiaran Desa Kediaman, Puncak Iskandar, Seri Iskandar, PRK, 32610, Malaysia",4.38304640,100.97001540,edu, d78be582827941679ec2dfc1f56c254f61302476,Part-based fine-grained bird image retrieval respecting species correlation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, d7ed4db868fa2481c0c7b722df1496095ebfedf5,Learning to Predict Pedestrian Intention via Variational Tracking Networks,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +d7b4d741b1dd4fb3f278efa5fdf2a5d8523caa0e,Automatic detection of facial feature points in image sequences,India,India,India,20.59368400,78.96288000,edu, d7ecfb6108a379a0abf76bf3105b4c9baca8f84f,An interactive robot for fatigue detection in the learning process of children,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, d7c87f4ca39f79d93c954ffacac32bc6eb527e2c,Curvelet Entropy for Facial Expression Recognition,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, +d7c279661dcb2c83ee63f149db3be7f0771237f5,3D head pose and gaze tracking and their application to diverse multimodal tasks,"Idiap Research Institute and École Polytechnique Fédérale de Lausanne, Martigny, Valais, Switzerland","Idiap Research Institute and École Polytechnique Fédérale de Lausanne, Martigny, Valais, Switzerland","Rue Marconi 19, 1920 Martigny, Switzerland",46.10937600,7.08444300,edu, +d724c43d8f17e76a1fa73c3b685dec9308d106fd,PRedictive Intelligence in MEdicine,"Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)","Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)","South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, d7b8f285b0701ba7b1a11d1c7dd3d1e7e304083f,A Hybrid Approach for Facial Expression Recognition,San Jose State University,San Jose State University,"SJSU, El Paseo de Cesar E. Chavez, Downtown Historic District, Japantown, San José, Santa Clara County, California, 95113, USA",37.33519080,-121.88126008,edu, d79de82207d251ce411acb620a0c44a7ae71f5a5,Side view pose estimation of human from images using prior knowledge,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, d74e708a058f0590c7a2ad679af483dad46acac1,Multimodal gender detection,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +ea5fdb7f6c2e94d1a67bff622c566ddc66be19ab,Face recognition based on convolutional neural network and support vector machine,China,China,China,35.86166000,104.19539700,edu, +eaa42e78fd94447534a2e1114fe5bf64d4604169,Classification of tumor histopathology via sparse feature learning,Oregon Health Sciences University,"Center for Spatial Systems Biomedicine, Oregon Health Sciences University, Portland, U.S.A.","Portland, OR, USA",45.51223080,-122.65871850,edu, +ea20ebb611690e4ed191a6f497c79f6aa2864d90,Curved Gabor Projection Entropy for Face Recognition,Federal University of Piauí,"Federal University of Piauí, Teresina, Brazil","Campus Universitário Ministro Petrônio Portella, s/n - Ininga, Teresina - PI, 64049-550, Brazil",-5.05860470,-42.79852120,edu, +ea5a020e64107c75f2f723967af5ad3b97fb2ec3,Multi-scale correlation tracking with convolutional features,PLA University of Science and Technology (PLAUST),"College of Command Information Systems, PLA University of Science and Technology (PLAUST), Nanjing, China","China, 双龙街60号",31.97090700,118.81289890,edu, eab53c9e3e8442050aa6ad97003f2356a365adaa,Extreme learning machine autoencoder for data augmentation,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, ea3fa5e6004c0504feaa31e01b2ea19f138e9a78,Facial expression recognition in video sequences,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, ea9e5fcdac51328a99e88f14b194abb933bd81b3,Video Classification With CNNs: Using the Codec as a Spatio-Temporal Activity Sensor,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +ea72e537ac714d015c802280345957b40a262da4,HRM graph constrained dictionary learning for face image super-resolution,China,China,China,35.86166000,104.19539700,edu, +ea7fd75c904430d6c062c770d9a740fd0aa8751c,Video Facial Expression Recognition Based on Multi-angle Feature Fusion,China,China,China,35.86166000,104.19539700,edu, +ead955a336df22f4d5f9e467dab1fe87542d7f9d,Collaborative representation with HM-LBP features for palmprint recognition,China,China,China,35.86166000,104.19539700,edu, +ea47705d5d3ce77d05c7b1bef551a18408671aa0,Logo detection in images using HOG and SIFT,University of Latvia,"Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia","Raiņa bulvāris 29, Centra rajons, Rīga, LV-1050, Latvia",56.94861510,24.11806840,edu, +ea2d3a58982bfcf5b22986da513eadf2e74cbf4e,Abnormal event detection via covariance matrix for optical flow based feature,University of Technology of Troyes,"Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France","3 Rue Michel Ange, 75016 Paris, France",48.84760370,2.26399340,edu, ea026456729f0ec54c697198e1fd089310de4ae2,Face identity verification based on sinusoidal projection,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, eac97959f2fcd882e8236c5dd6035870878eb36b,Adaptive ranking of facial attractiveness,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +ea1eeefb676d39b5f456937f8894311587cc7c2f,A comparative analysis of face annotation schemes for web facial images in social networks,India,India,India,20.59368400,78.96288000,edu, +ea8bf8924e15607d959ae822f428815a9d435f3b,MMA: a multi-view and multi-modality benchmark dataset for human action recognition,China,China,China,35.86166000,104.19539700,edu, ea86b75427f845f04e96bdaadfc0d67b3f460005,Label consistent recursive least squares dictionary learning for image classification,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, ea2b3efd4d317ebaffaf7dc8c62db5ff1eab0e1b,Face detection algorithm based on a cascade of ensembles of decision trees,Yaroslavl State University,Yaroslavl State University,"ЯрГУ им. Демидова (Экономический факультет), 3, Комсомольская улица, Кировский район, Ярославль, городской округ Ярославль, Ярославская область, ЦФО, 150000, РФ",57.62521030,39.88456560,edu, eae97767244ddb8bfdaa3b370ee0c00a3aecc8a5,Large Margin Coupled Feature Learning for cross-modal face recognition,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, ea2c73f96e1d1610a562b485d780a885a883f098,Face recognition using Local Quaternion Patters and Weighted Spatially constrained Earth Mover's Distance,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, ea7d9a72e5f804567da3e9d937bd7d240c546d06,"Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency",RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, 7060bf98867cffc08e8aad59f572d3939f19a774,Advanced feature set for face recognition under assorted lighting conditions,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +700bafb57112febd5d5712f474b0ecc39379320c,Deep Deformable Patch Metric Learning for Person Re-Identification,"Disney Research, Pittsburgh, PA, USA","Disney Research, Pittsburgh, PA, USA","4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,company, 70998e14f795d82e367d890aae5476a91472f268,The Attribution of Emotional State - How Embodiment Features and Social Traits Affect the Perception of an Artificial Agent,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, 70bf51aada8c2d2fabef7cff29f9cb6da423ef50,Human detection and localization in secure access control by analysing facial features,Charles Sturt University,Charles Sturt University,"Charles Sturt University, Wagga Wagga, NSW, 2678, Australia",-35.06360710,147.35522340,edu, +70cb286bd9e5ca57b4b3f56b0c801a209804b552,An automatic video surveillance indexing based on facial feature descriptors,Ibn Zohr University,"Laboratory of Computer Systems and Vision, Faculty of Science, Ibn Zohr University, Agadir-80000, Morocco","Annexe de l'université Ibn Zohr, Agadir 80000, Morocco",30.41098180,-9.54347400,edu, +708ccbc563c9da72137800ed86949c4c6e1a0fdd,Vehicle Re-Identification Based on Coupled Dictionary Learning,China,China,China,35.86166000,104.19539700,edu, 70c3f7ade95e5f79adc02ca6171b4194ec347427,Face Alignment by Combining Residual Features in Cascaded Hourglass Network,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, -70fa17afd5a2f5953032ed1ecb66ca0c3e11b150,Multispectral Local Binary Pattern Histogram for Component-based Color Face Verification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +70fa17afd5a2f5953032ed1ecb66ca0c3e11b150,Multispectral Local Binary Pattern Histogram for Component-based Color Face Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7046611b1b7a8054801e513cdd89926b63f1027f,Structural Constraint Data Association for Online Multi-object Tracking,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 709d7f6b86c01fe90f10ae9216a91f95b1dcd2fb,Mixture Statistic Metric Learning for Robust Human Action and Expression Recognition,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, 70161d387927c542860669e929374f3b032d1b11,A comparative study of local feature extraction algorithms for Web pornographic image recognition,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, +707aba1159407acdc549311395f909d0d9da2b9f,Multilinear-CLAFIC methods for tensor data in image recognition,"Elektrik ve Elektronik Mühendisli¿i Bölümü, Eski¿ehir Osmangazi Üniversitesi, Turkey","Elektrik ve Elektronik Mühendisli¿i Bölümü, Eski¿ehir Osmangazi Üniversitesi, Turkey","Eskişehir Osmangazi Üniversitesi, Mühendislik Fakültesi, 26480 Odunpazarı/Eskişehir, Turkey",39.74871200,30.47595620,edu, +705a61f5e2d31a2382f3f07d1669755284d8407d,Illumination robust single sample face recognition based on ESRC,Hubei Normal University,"College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, China","11 Cihu Rd, Huangshigang Qu, Huangshi Shi, Hubei Sheng, China, 435002",30.23085290,115.06392200,edu, +70d64970a44c093e9756936fbbf1d88acb04dec5,Tag-based web photo retrieval improved by batch mode re-tagging,Kodak,"Kodak Research Laboratories, Eastiman Kodak Company, Rochester, USA","1422 Lake Ave, Rochester, NY 14615, USA",43.20291810,-77.62933270,company, +70502590316b61180fdee7ac21f740d1c836c929,DT- CWT sub-band partitioning for face recognition,India,India,India,20.59368400,78.96288000,edu, 7010c55055aae36edc121befce125ea04f0fc52c,Feature selection for person-independent 3D facial expression recognition using NSGA-II,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, +7085d21f483743007cc6a8e3fa01d8bdf592ad33,Face recognition using Eigenfaces-Fisher Linear Discriminant and Dynamic Fuzzy Neural Network,China,China,China,35.86166000,104.19539700,edu, 70444627cb765a67a2efba17b0f4b81ce1fc20ff,Joint Sparse Representation and Embedding Propagation Learning: A Framework for Graph-Based Semisupervised Learning,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 70d8bda4aafb0272ac4b93cd43e2448446b8e94d,Using SVM to design facial expression recognition for shape and texture features,"Shin-Guang Elementary School, Taiwan","Shin-Guang Elementary School, Yulin 646, Taiwan","Yulin, Guangxi, China",22.65403200,110.18122000,edu, 70f6c967d01636a5e166f03fc9584311cc66669a,Road terrain detection: Avoiding common obstacle detection assumptions using sensor fusion,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +5db08701e6a8173ada652309c09d1262f9df7f9b,Ranking Optimization for Person Re-identification via Similarity and Dissimilarity,"Wuhan Univeristy, Wuhan, China","Wuhan Univeristy, Wuhan, China","Wuchang, Wuhan, Hubei, China, 430072",30.53604850,114.36432190,edu, 5dafab3c936763294257af73baf9fb3bb1696654,Towards inclusive design in mobile biometry,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +5dce578c8bc819592c9ec7bfab6302bbcd9a3f3d,Facial Complex Expression Recognition Based on Fuzzy Kernel Clustering and Support Vector Machines,China,China,China,35.86166000,104.19539700,edu, 5d2e5833ca713f95adcf4267148ac2ccf2318539,Facial expression recognition using entropy and brightness features,University of Lyon,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France","20 Avenue Albert Einstein, 69100 Villeurbanne, France",45.78332440,4.87819840,edu, -5d9f468a2841ea2f27bbe3ef2c6fe531d444be68,PT-NET: Improve object and face detection via a pre-trained CNN model,"Academy of Broadcasting Science, Beijing, China","Academy of Broadcasting Science, Beijing, P.R. China","Beijing, China",39.90419990,116.40739630,edu, +5d9f468a2841ea2f27bbe3ef2c6fe531d444be68,PT-NET: Improve object and face detection via a pre-trained CNN model,"Academy of Broadcasting Science, Beijing, China","Academy of Broadcasting Science, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, 5d9890831e0628b4f1bf46084d52baa6405c7abd,Sparse Manifold Learning and Its Applications in Image Classification,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +5d75c4db2e09b19de26b7c77f946e89d449c4ca4,Estimation of pedestrian walking direction from video,USTHB University,"University of Sciences and Technology, USTHB University, BP 32, El Alia, Algiers, Algeria","Bab Ezzouar 16111, Algeria",36.71131470,3.18172220,edu, 5df4b92f86698a8270f9fba73b87c9b97e0d1016,Siamese network features for image matching,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, 5d0f72174e9ca1d620227b53ab1bbd8263fb4a9e,Robust DLPP With Nongreedy $\ell _1$ -Norm Minimization and Maximization,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 5db584b00dc31ba387585b6e01c3bec057761b97,Location graphs for visual place recognition,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +5dbac0b5e88c4af9a1adb4d482e74d0ddfe26844,Land-use scene classification: a comparative study on bag of visual word framework,Laval University,"Computer Vision and Systems Laboratory, Laval University, Quebec City G1V 0A6, Canada","1065 Avenue de la Médecine, Québec, QC G1V 0A6, Canada",46.77912420,-71.27626570,edu, +5d11a2e6a6fab65d21a2a7082b6a37f86d5bb1ce,Group recursive discriminant subspace learning with image set decomposition,China,China,China,35.86166000,104.19539700,edu, 5df17c81c266cf2ebb0778e48e825905e161a8d9,A Novel Lip Descriptor for Audio-Visual Keyword Spotting Based on Adaptive Decision Fusion,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 5d8c94a69414b119b245df4d959be99c7c3b9b61,A strong bilayer appearance model for human pose estimation from a high freedom still image,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +5d7a207f36f22dc470a007abf1095d30e8020650,Online object tracking based on sparse subspace representation,Nanjing University of Posts and Telecommunications,"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046",32.10574800,118.93170100,edu, 5d5d8c802513c2889654a880345e5a4bec51f762,Occlusion detection using horizontally segmented windows for vehicle tracking,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, 5d9971c6a9d5c56463ea186850b16f8969a58e67,Facial-expression recognition based on a low-dimensional temporal feature space,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" 5da3bb198b087c15509f933215b141de9e8f43ed,An efficient face model for facial expression recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 5d09fefbcee2410eb448dc75f5957bed8587624b,How does person identity recognition help multi-person tracking?,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +5dd146912c2b2a313cea50acdcca3b4b54479142,Improving Human Action Recognition through Hierarchical Neural Network Classifiers,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 5d9822e581ea793bc70998ee8b40c6ae37e5a994,A classification and clustering method for tracking multiple objects,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 5da827fe558fb2e1124dcc84ef08311241761726,Attribute preserved face de-identification,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, e648fda506496d7ac771d47926afcffbc8504c95,Face recognition using multi-scale local phase quantisation and Linear Regression Classifier,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, @@ -4086,6 +5914,7 @@ e66b4aa85524f493dafde8c75176ac0afad5b79c,Watchlist risk assessment using multipa e61608681a2c2081b2b48ddcfd979d2266ff10be,Humans tracking in the complicated background by multi-cue integration,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, e6d6d1b0a8b414160f67142fc18e1321fe3f1c49,Semantic facial description via axiomatic Fuzzy Set based clustering,Shenyang Aerospace University,"College of Automation, Shenyang Aerospace University, China","Hanqing S Rd, Heping Qu, Shenyang Shi, Liaoning Sheng, China, 110016",41.76538300,123.41744800,edu, e66a6ae542907d6a0ebc45da60a62d3eecf17839,3D-aided face recognition from videos,University of Lyon,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France","20 Avenue Albert Einstein, 69100 Villeurbanne, France",45.78332440,4.87819840,edu, +e6c4715476216be00ea61fc276ff39fb4620d785,"Recognizing facial images using Gabor Wavelets, DCT-Neural Network, Hybrid Spatial Feature Interdependence Matrix",India,India,India,20.59368400,78.96288000,edu, e6b7bab5839c991c30d7e7a6d1df1adb97d81775,An improved 2D cost aggregation method for advanced driver assistance systems,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, e69152334ac7bbb29d368862cf5ade75ed9bbadb,A Modified Pedestrian Retrieval Method Based on Faster R-CNN with Integration of Pedestrian Detection and Re-Identification,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, 62692164113ccd9badd188a225318855c4f01898,Face features detection and representation by morphological reconstruction and linking,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, @@ -4098,16 +5927,26 @@ e69152334ac7bbb29d368862cf5ade75ed9bbadb,A Modified Pedestrian Retrieval Method 62750d78e819d745b9200b0c5c35fcae6fb9f404,Leveraging implicit demographic information for face recognition using a multi-expert system,University of Naples Federico II,University of Naples Federico II,"Corso Umberto I, 40, 80138 Napoli NA, Italy",40.84549200,14.25780580,edu, 62e698f4d2c9c70f51012bb3a4940783d9e01cc6,Pornographic image classification based on top down color-saliency based BoW representation,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 626004cbf0aea5efa847001f06838050d43bcc1f,Obstacle detection using unsynchronized multi-camera network,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" +62e34fff5a29d2e27bb3c7ccca43daad2d164ac0,Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression,"Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY, USA","Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY, USA","1422 Lake Ave, Rochester, NY 14615, USA",43.20291810,-77.62933270,edu, 62eb53fb0fbde20945a5bf04fd63249157f48002,"Automatic Ear Landmark Localization, Segmentation, and Pose Classification in Range Images",University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, +62c2d21f78fb89a11b436ab6ca9acd9abca145be,Neural network method through facial expression recognition,"(CSE)PGOI, Indore","(CSE)PGOI, Indore","Bypass Road , Ralamandal, Indore, Madhya Pradesh 452020, India",22.64542270,75.90758800,edu, +621cff3d984455cc75e8ec94574af107ebfdb982,Deformable 3D CAD models in mobile augmented reality for tele-assistance,"TCS Innovation Labs, Bangalore, India","TCS Innovation Labs, Bangalore, India","18th A Main Rd, 6th Block, Koramangala, Bengaluru, Karnataka 560095, India",12.93851730,77.62077130,company, +62cf98ce9c28dad430810a59a527df50cebb65fd,"Human activity recognition in egocentric video using PNN, SVM, kNN and SVM+kNN classifiers",Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu, +62415bbd69270e6577136ba7120f4a682251cdbb,Facial expression analysis and the affect space,"INRIA, Grenoble Rhône-Alpes Research Center, Paris, France","INRIA, Grenoble Rhône-Alpes Research Center, Paris, France","655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France",45.21788600,5.80736900,edu, 625fe925c88f642d8e082fc51c851362f94fafd2,Face Recognition via AAM and Multi-features Fusion on Riemannian Manifolds,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +622c84d79a9420ed6f3a78f29233d56b1e99cc21,Video attention prediction using gaze saliency,China,China,China,35.86166000,104.19539700,edu, 621ed006945e9438910b5aa4f6214888dea3d791,Face recognition using anisotropic dual-tree complex wavelet packets,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 9fb32f4f332b6acb8eafa418b45650e54796f0a7,A Data-Centric Approach for Image Scene Localization,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +9fe2fed0bbcb9e41e058031b98e7247fea854bac,Privacy preserving security using biometrics in cloud computing,India,India,India,20.59368400,78.96288000,edu, 9f43caad22803332400f498ca4dd0429fe7da0aa,Exploring human visual system: Study to aid the development of automatic facial expression recognition framework,University of Lyon,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France","20 Avenue Albert Einstein, 69100 Villeurbanne, France",45.78332440,4.87819840,edu, 9fbcf40b0649c03ba0f38f940c34e7e6c9e04c03,A review on Gabor wavelets for face recognition,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, +9f88bc8ac1f69362e4ca2bfd651c5f5d6aea5853,Deep learning model based breast cancer histopathological image classification,Shandong University of Traditional Chinese Medicine,"College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China","China, Shandong, Jinan, Lixia, 经十路16369",36.65015600,117.04613800,edu, 9f3c9e41f46df9c94d714b1f080dafad6b4de1de,On the detection of images containing child-pornographic material,Cyprus University of Technology,Cyprus University of Technology,"Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - Λεμεσός, Limassol - Λεμεσός, Κύπρος - Kıbrıs, 3036, Κύπρος - Kıbrıs",34.67567405,33.04577648,edu, 9faeb2f8cd7e1deac432ab8e4294cd504976a293,Transfer Learning with Ensemble of Multiple Feature Representations,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, 9f5098dea38669135c8552a83f4730330a15ebba,Novel high intrinsic dimensionality estimators,Università degli Studi di Milano,Università degli Studi di Milano,"Università degli Studi di Milano, Via Camillo Golgi, Città Studi, Milano, MI, LOM, 20133, Italia",45.47567215,9.23336232,edu, 9ff931ca721d50e470e1a38e583c7b18b6cdc2cc,An Overview and Empirical Comparison of Distance Metric Learning Methods,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +9fea3ff012d5ee474a7f41956bc4a4c5b67f09e0,Cascaded face recognition system via sparse representation,"Center of Excellence in Science and Technology, Islamabad, Pakistan","Center of Excellence in Science and Technology, Islamabad, Pakistan","Islamabad, Islamabad Capital Territory 44000, Pakistan",33.74942400,73.13651740,edu, +9f47852dc4b17b706b2fbf942afef193b1723042,Spatial Effects of Video Compression on Classification in Convolutional Neural Networks,Oxford-Brookes University,"Oxford-Brookes University, Oxford, OX3 0BP, United Kingdom","Headington Rd, Oxford OX3 0BP, UK",51.75501100,-1.22422500,edu, 9fa224a709fba2df1cafdf1fda02bfdbd4015258,A Vision for All-Spin Neural Networks: A Device to System Perspective,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 9fd2859eb2e277bcf42a455741f623480238e381,A Physics-Based Deep Learning Approach to Shadow Invariant Representations of Hyperspectral Images,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 9fd1b8abbad25cb38f0c009288fb5db0fc862db6,Soft margin AdaBoost for face pose classification,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA @@ -4116,11 +5955,13 @@ e69152334ac7bbb29d368862cf5ade75ed9bbadb,A Modified Pedestrian Retrieval Method 9f4f890f74ac91bdc4323e061502331945474b90,Classification of spontaneous and posed smiles,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 9f42dd958afc027d42843945623d8e0ddf4185d1,Vehicle Detection in High-Resolution Aerial Images Based on Fast Sparse Representation Classification and Multiorder Feature,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 9f8ebf149aed8a0eda5c3375c9947c6b26eb7873,FANS: face annotation by searching large-scale web facial images,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +9ff3d2581fc86859b56aaef4ef2e1009e8bbc272,Robust Label Consistent Dictionary Learning for Face Recognition,India,India,India,20.59368400,78.96288000,edu, 9f9a5cf4e84e99edebd55b2c160cce821c2439a7,Learning Grassmann manifolds for object state discovery,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 9f49013657cbce384df9b16a2a17293bc4c9d967,"PTZ camera assisted face acquisition, tracking & recognition",Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, a9c0b2f9f6405bbf9be163246867175cfee8a616,Local Haar-like features in edge maps for pedestrian detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, a993500f229ea4a4a3162fea2cbbec9ba2a5e404,Semi-supervised image classification via nonnegative least-squares regression,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, a9a2ef9417dfe480a047a11a15814d3886ed0729,An Adaptive Approach to Learning Optimal Neighborhood Kernels,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +a9196f0ef06460467836fe09d53737170c612e79,Recurrent convolution neural networks for classification of protein-protein interaction articles from biomedical literature,India,India,India,20.59368400,78.96288000,edu, a9fc8efd1aa3d58f89c0f53f0cb112725b5bda10,Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection,"Moshanghua Tech Company, Ltd., Beijing, China","Moshanghua Tech Company, Ltd., Beijing, China","Beijing, China",39.90419990,116.40739630,company, a9d54e40407be7d8e496830e75a5b6020461ce4b,Fast Pedestrian Detection Based on the Selective Window Differential Filter,Oklahoma State University,Oklahoma State University,"Walmart East Bus Stop, East Virginia Avenue, Stillwater, Payne County, Oklahoma, 74075, USA",36.12447560,-97.05004383,edu, a902d7accc1d03435b49b21ee0f9ed85941a97a6,Face recognition with kernel sparse representation on Gabor features,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, @@ -4133,65 +5974,99 @@ a967e05a1eec6610ed88bb2aafc98de6b318f763,Evaluation of HeadTurn: An Interaction a9c8fa7e890878fe209f28d358cf5eca5e958fdb,Pose robust low-resolution face recognition via coupled kernel-based enhanced discriminant analysis,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, a9f3aed7013b1a09b7fd7464b45e3e0835600718,Cost-Effective Conceptual Design for Information Extraction,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, a9bd2133928a9d3fe708c9ee6e8d64ae1fc9a43a,Mixture of counting CNNs,Hiroshima University,Hiroshima University,"Hiroshima University 広島大学 東広島キャンパス, 出会いの道 Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu, +a9b18f753bdcc8ed609fd763bf76cc20cbd754f2,Intersection Warning System for Occlusion Risks Using Relational Local Dynamic Maps,"Honda Research Institute Europe, Offenbach, Germany","Honda Research Institute Europe, Offenbach, Germany","Carl-Legien-Straße 30, 63073 Offenbach am Main, Germany",50.08472490,8.84064370,edu, a90d72b4b0e026391ac4d7a6b0a5deca2791e718,Pedestrian Detection from Low Resolution Public Cameras in the Wild,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu, +a964fbcfe85cdccb86e8c44d027b7f9e96fb22b6,"Multimodal depth and intensity face verification approach using LBP, SLF, BSIF, and LPQ local features fusion","LAMIH Université de Valenciennes, Paris, France","LAMIH Université de Valenciennes, Paris, France","Voirie Communale Université Val Mont Houy, 59300 Famars, France",50.32355800,3.51258270,edu, a939e287feb3166983e36b8573cd161d12097ad8,Exploiting privileged information for facial expression recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +a9f0e940cfba3663dc8304dd5dc77509f024a3cc,"Facial expression representation and classification using LBP, 2DPCA and their combination",India,India,India,20.59368400,78.96288000,edu, a91f38a1ec3558b6c7b394db30ee5ff6ccf98702,Experience with BXGrid: a data repository and computing grid for biometrics research,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, a9722d6d3e51f3e135bb498c3dead227db63dfdc,Augmented Sparse Representation Classifier for Blurred Face Recognition,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, a967f54369466ad66ff1179166eed16cda56c5c2,Traffic sign detection from video: A fast approach with tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +a92b0dfcf17686a8048fb286c6ecf2417243a3ad,Detection of obscene images and ejection of external devices,India,India,India,20.59368400,78.96288000,edu, a9c7d8a704b5a30980ee400de0e8a2235221e0fd,UR3D-C: Linear dimensionality reduction for efficient 3D face recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +a9e438c1e66917379509165fc40f335514870b56,Structural inpainting of road patches for anomaly detection,"IBM Research - Tokyo, Japan","IBM Research - Tokyo, Japan","19-21 Nihonbashihakozakicho, Chūō, Tokyo 103-8510, Japan",35.67854170,139.78712380,edu, a91a90192094963d0227f69c90069e99e4acf153,Multilevel Chinese Takeaway Process and Label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu, a9d861e270b8b1e6deea1936b258f49f1823005b,A robust face recognition using automatically detected facial attributes,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +a6cbac33da95bdf7167d4a81275755b6d91b7822,A discrimination preserving projection approach for face recognition,China,China,China,35.86166000,104.19539700,edu, +a6902db7972a7631d186bbf59c5ef116c205b1e8,Photo clip art,Microsoft Research Cambridge,Microsoft Research Cambridge,"21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,company, a627234002439d5f89da44bf83b8fd0b503812ad,GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, +a6807ee5dec896aed0d76149067ff27f8c5fb2b4,Design methodology for face detection acceleration,"Instituto de Microelectronica de Sevilla, IMSE-CNM-CSIC, Spain","Instituto de Microelectronica de Sevilla, IMSE-CNM-CSIC, Spain","Parque Científico y Tecnológico Cartuja, Calle Américo Vespucio, s/n, 41092 Sevilla, Spain",37.41218400,-6.00594500,edu, a6b5ca99432c23392cec682aebb8295c0283728b,Content-Aware Proactive Caching for Backhaul Offloading in Cellular Network,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu, a6e901131bbec0b754647cbc1d7a7e3580d351f1,Human tracking driven activity recognition in video streams,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, a64eb5aa719bdb2f58023c1a97094daeeb8e1ff9,3D Facial Landmark Localisation by Matching Simple Descriptors,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, a6051a9ae4e09faa02dcc45c0d34ce3b1c50382b,Face attribute prediction with convolutional neural networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, a628b28c30cc9e292e6fc9b3a46f9972501c9c67,Sparse Approximation to the Eigensubspace for Discrimination,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, a693aa8f2bde89158bbe9aa8abec8428518c8d45,Effectiveness and Users' Experience of Obfuscation as a Privacy-Enhancing Technology for Sharing Photos,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, +a654fdf590a063d15344caccecff76d971635993,A three-dimensional self-organizing neural network architecture for three-dimensional object extraction from a noisy perspective,India,India,India,20.59368400,78.96288000,edu, +a638c6db2c0629bab6dc2f75f297fe0ae4024de7,Pedestrian detection by PCA-based mixed HOG-LBP features,China,China,China,35.86166000,104.19539700,edu, a69f85258816ed1386a9f64870121f74ef517064,Extending the detection range of vision-based driver assistance systems application to Pedestrian Protection System,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, +a6f79e6b63ff8f6a2e472625d9311e8c60ac36f2,Smart space construction: Integration of robots in a visual sensor network,India,India,India,20.59368400,78.96288000,edu, +a61a3f7870f7cb0ff73fc9470b28ed94692efe74,Thermal Face Recognition Under Temporal Variation Conditions,"Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile","Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile","Brasil 2147, Valparaíso, Región de Valparaíso, Chile",-33.04464980,-71.61378180,edu, a68d2f331a4c3fa0ababb93958645a98941e99ea,Stereo vision-based localization for hexapod walking robots operating in rough terrains,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, a65c3af3752866732fb2d1ccb3305ddf0fea91df,Deep Feature Embedding Learning for Person Re-Identification Using Lifted Structured Loss,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +a67e66e437331cf7dbb02d2a7296e9c32dba67d5,CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks,"Mila, Université de Montréal, Quebec, Canada","Mila, Université de Montréal, Quebec, Canada","6666 Rue Saint-Urbain, Montréal, QC H2S 3H1, Canada",45.53071470,-73.61359310,edu, a6ce1a1de164f41cb8999c728bceedf65d66bb23,Dynamic facial expression recognition using local patch and LBP-TOP,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu, +a66057955282d22a23c76e904daa2969adc94cb2,Detecting and Measuring Human Walking in Laser Scans,"Institute of Informatics and Telecommunications NCSR 'Demokritos' Athens, Greece","Institute of Informatics and Telecommunications NCSR 'Demokritos' Athens, Greece","Νεαπόλεως 27 και, Patriarchou Grigoriou E, Ag. Paraskevi 153 41, Greece",37.99998030,23.81974790,edu, a6ee83e4655d09063f50a8b97d8dc32adc5fdf3a,MutualCascade method for pedestrian detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, a6f1e230ed26eb93474ade60e8f31b3aa389162d,Appearance dependent inter-part relationship for human pose estimation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, a60db9ca8bc144a37fe233b08232d9c91641cbb5,Spatial alignment network for facial landmark localization,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, a6e670f5dee62e041d1da9bb4f3e1097055f1535,A deep architecture for face recognition based on multiple feature extraction techniques,University of Bridgeport,University of Bridgeport,"University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA",41.16648580,-73.19205640,edu, a6f858256d209c62e869af60a0f347f7cef07281,Learning sparse feature for eyeglasses problem in face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +ac37285f2f5ccf99e9054735a36465ee35a6afdd,Complete Kernel Fisher discriminant analysis of Gabor features with fractional power polynomial models for face recognition,China,China,China,35.86166000,104.19539700,edu, ac03849956ac470c41585d2ee34d8bb58bb3c764,Automatic inference of mental states from spontaneous facial expressions,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, ac2e166c76c103f17fdea2b4ecb137200b8d4703,Cognitive face analysis system for future interactive TV,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, acd7f70bd1b96a81b35e641ec1936ce925073d08,Scalable Multi-View Semi-Supervised Classification via Adaptive Regression,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, acab402d706dbde4bea4b7df52812681011f435e,Robust face recognition with illumination normalization using a reference profile,"Infosys Limited, Bangalore, India","E-Comm Research Lab, Infosys Limited, Bangalore, India","Bengaluru, Karnataka, India",12.97159870,77.59456270,company, ac2a8d9011a0eed8df15416f4771f9b6126bbefd,Sparse data-dependent kernel principal component analysis based on least squares support vector machine for feature extraction and recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, ac44314e877e10ecf4b2123553ed0bdc3fc963ef,On-Road Pedestrian Tracking Across Multiple Driving Recorders,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +ace8bf0f5d218cc6fd08e5a224f320e2244bd771,Balanced application-specific processor system for efficient SIFT-feature detection,"Institute of Microelectronic Systems, Leibniz Universität Hannover, Appelstr. 4, 30167 Hannover, Germany","Institute of Microelectronic Systems, Leibniz Universität Hannover, Appelstr. 4, 30167 Hannover, Germany","Appelstraße 4, 30167 Hannover, Germany",52.38920800,9.71499700,edu, acf0db156406ddad1ace2ff2696cb60d0a04cf7c,Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, ac952dcf1448b7afa8c17cbd8062e3fb1382da0f,Supervised and Unsupervised Parallel Subspace Learning for Large-Scale Image Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, acb4a2957e7131b442f87ac6e4fa2d3c1f31357e,Robust 3D face recognition in the presence of realistic occlusions,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, acffa26dd7e988ee5c0b339eed0b2b4e14567790,AccountTrade: Accountable protocols for big data trading against dishonest consumers,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu, ac0131ab219891562cad7f5d83ec910216e3a94f,Novel multimodal template generation algorithm,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, +ac01cb10c356d26bcfb7f674fe91e6c190ba64ab,Patch based local phase quantization of monogenic components for face recognition,"GIPSA-Lab, Grenoble Institute of Technology, France","GIPSA-Lab, Grenoble Institute of Technology, France","11 Rue des Mathématiques, 38400 Saint-Martin-d'Hères, France",45.19344150,5.76631150,edu, ac8bd8663c26d8cc5d73fc91dd269c38d437f47b,An Optimized Illumination Normalization Method for Face Recognition,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 0ce0d440126c43700765e5d12fc95eb962680f4e,A neural network based human face recognition of low resolution images,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, +0c251ee4c1f4cac3929cb889c525785335237ed3,An efficient approach for face recognition in uncontrolled environment,India,India,India,20.59368400,78.96288000,edu, 0c4d7768d84d53dcfd40f19083ad59e8ee64ef93,Fused Discriminative Metric Learning for Low Resolution Pedestrian Detection,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, +0cc96359b1edba28d33fe9e663079c5674744672,Facial expression recognition for detecting children's likes and dislikes,"Cognition Technology Research Team, Electronics and Telecommunications Research Institute, Daejeon, 305-700, Republic of Korea","Cognition Technology Research Team, Electronics and Telecommunications Research Institute, Daejeon, 305-700, Republic of Korea","1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea",35.22537080,126.84618340,edu, +0c2309b357cbc5be6c5e5066b053b96e846ade37,Pedestrian Detection Based on YOLO Network Model,China,China,China,35.86166000,104.19539700,edu, 0c955c18b1d815f5ae69450db760f658a8647ce1,A Nonlinear Discriminative Approach to AAM Fitting,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +0ce9c3a2fec2bcd1a897c7ed1bf34cd68e6af89b,Learning Transferable Features for Speech Emotion Recognition,"UFMG, Belo Horizonte, Brazil","UFMG, Belo Horizonte, Brazil","Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil",-19.86908780,-43.96638410,edu, +0cf9f33546917e2d0edec03037f1a084d75f917b,Variable length dominant Gabor local binary pattern (VLD-GLBP) for face recognition,China,China,China,35.86166000,104.19539700,edu, 0c5b2a03df2ccd6f236c631f073b6448381a429e,Face detection in mobile phones using Co-occurrence of adjacent Local Binary Patterns,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +0c56ba57e7b3f808e9ff85f61fbec38615d7f999,Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information,"Siemens Medical Solutions, Innovations Division, CA 94043, USA","Siemens Medical Solutions, Innovations Division, CA 94043, USA","Mountain View, CA 94043, USA",37.42843400,-122.07238160,edu, 0c8c7d58b9bf2acb16ce6b73311db9b1bdff8d11,Windsurf: the best way to SURF,University of Bologna,Università di Bologna,"Via Zamboni, 33, 40126 Bologna BO, Italy",44.49623180,11.35415700,edu, +0c95bccca09f89a3036af0f9c3dac318f0f249b9,Choice of biometrics,University of Mauritius,"University of Mauritius, Reduit, 230, Mauritius","Moka, Mauritius",-20.23381210,57.49751770,edu, +0c5b32acd045996716f66e327a2d39423446a220,Local information statistics of LBP and HOG for pedestrian detection,Romania,Romania,Romania,45.94316100,24.96676000,edu, +0cb5a80d9ddc9876c73b6013fa927a8202736349,Hierarchical Contextual Refinement Networks for Human Pose Estimation,China,China,China,35.86166000,104.19539700,edu, 0c2370e156a4eb8d84a5fdb049c5a894c3431f1c,Biometric template update under facial aging,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu, +0cf7741e1fdb11a77cdf39b4dda8c65a62af4f23,Learning Prototype Hyperplanes for Face Verification in the Wild,China,China,China,35.86166000,104.19539700,edu, +0c0db39cac8cb76b52cfdbe10bde1c53d68d202f,Metric-based Generative Adversarial Network,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 7dd77046d1268e41e82fa452fefe91a779d3e7c4,Multi-modal RGB–Depth–Thermal Human Body Segmentation,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 7dc498d45f9fcb97acee552c6f587b65d5122c35,Face detection and landmark localization using Bilayer Tree Structured Model,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, +7dd6feca2c444323ec8e7017ddd8d1253b29c6a1,Pain Prediction in Humans using Human Brain Activity Data,King Abdulaziz University,"Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia","Jeddah 21589, Saudi Arabia",21.49607520,39.24512500,edu, 7ddea8eae04ec694c69bab3ab28a4ece00b3a07d,PCA Authentication of Facial Biometric in the Secure Randomized Mapping Domain,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, 7df082cd1bce65f6060825bc14289570bf73c4fd,A Fault Tolerant Perception system for autonomous vehicles,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, +7d730b5e0f813c4bc1a28db276d182e45f2fb4a5,Face recognition using different surveillance cameras,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 7d81257d709c0fceebd38ed76fbaa137ff2e32ed,Mining sub-categories for object detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 7dbe77557878f9a2ac65c253256d498100711a10,Features analysis of person re-identification techniques,Manonmaniam Sundaranar University,Manonmaniam Sundaranar University,"Manonmaniam Sundaranar University, Tenkasi-Tirunelveli, Gandhi Nagar, Tirunelveli, Tirunelveli Kattabo, Tamil Nadu, 627808, India",8.76554685,77.65100445,edu, 7d7b036ed01765c9473d695f029142128d442aaa,Real-Time Action Recognition With Deeply Transferred Motion Vector CNNs,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, 7de8a8b437ec7a18e395be9bf7c8f2d502025cc6,Robust face recognition under illumination variation and occlusion (in english),"Beyazıt University, Ankara, Turkey","Bilgisayar Mühendisliği Bölümü, Ankara Yıldırım Beyazıt Üniversitesi, Ankara, Türkiye","Ankara, Turkey",39.93336350,32.85974190,edu, +7d4b699a676482b76f2fa0ce7a2a75316616fb1d,Local Steerable Phase (LSP) Feature for Face Representation and Recognition,"Beijing Institute of Technology, Beijing 100081, P.R. China","Beijing Institute of Technology, Beijing 100081, P.R. China","Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China",39.96443100,116.31031900,edu, 7d50df03d0c8a26eaaeaef47de68691f9ac73701,Recognizing expressions from face and body gesture by temporal normalized motion and appearance features,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 7d447cc4432f5eca01083f65c70ca6edd54818bc,Segmentation and Estimation of Spatially Varying Illumination,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 7d337edc28b85ecc07adfcfc08e14eb0508dfe74,Integrating shape and color cues for textured 3D object recognition,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 7d85c3a1bae00efde989180f90fcc3b42c4013e1,Spartans: Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +7da261ca2cff495bd7744504797c4c3d5b8b9b4c,Particle PHD Filter Based Multiple Human Tracking Using Online Group-Structured Dictionary Learning,"State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China","State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China","5 Zhongguancun S St, Haidian Qu, Beijing Shi, China",39.96038900,116.31856700,gov, 7d45f1878d8048f6b3de5b3ec912c49742d5e968,Automatic Facial Expression Recognition System Using Deep Network-Based Data Fusion,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu, +7d7255ff50b9e7e4ace61b9ca883704f43298595,Face Photo Recognition from Sketch Images Using HOG descriptors,India,India,India,20.59368400,78.96288000,edu, 7d9d8fc39bb3a6a0c33346e6eddde37f28545ef0,Who Are Your “Real” Friends: Analyzing and Distinguishing Between Offline and Online Friendships From Social Multimedia Data,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 7d19cd007bffabefa59de061b303da464711af22,Accurate Estimation of Human Body Orientation From RGB-D Sensors,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 7d6244527b7e310ff443496d0dfb973cb7d6f71b,Multiple Lane Detection Algorithm Based on Novel Dense Vanishing Point Estimation,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, 7d2dd37e443794f96c4c7b48322503bb4e702984,Beyond Context: Exploring Semantic Similarity for Tiny Face Detection,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +7df277c37ac75851684f926fd3fb4daced3e79f8,Gaussian elliptical fitting based skin color modeling for human detection,India,India,India,20.59368400,78.96288000,edu, 7de3a280481d5389deef8c4d49a3920147889835,Robust nose tip detection for face range images based on local features in scale-space,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 7da818df4207bdfd5ebfc609e48da360b4b678d1,Learning Deep Representation for Blades Icing Fault Detection of Wind Turbines,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, 7d70099e6339e5d38ce7ee3d3e2ce3b590f24768,A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, @@ -4200,67 +6075,109 @@ ac8bd8663c26d8cc5d73fc91dd269c38d437f47b,An Optimized Illumination Normalization 205f035ec90a7fa50fd04fdca390ce83c0eea958,Emotion Recognition Using Multiple Kernel Learning toward E-learning Applications,Charles Sturt University,Charles Sturt University,"Charles Sturt University, Wagga Wagga, NSW, 2678, Australia",-35.06360710,147.35522340,edu, 20da3ec27d221973c681ed8713f3e00ff10fef6b,Multiple Representations-Based Face Sketch–Photo Synthesis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 20d27c336bef081adf7faffd42721b77a3c92508,Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, +209c4bae72a3810114c67e0ca435fcd1646986f8,Body gait tracking with a Fisher Discriminance on feature analyse,China,China,China,35.86166000,104.19539700,edu, 2046689ab60fddc0473326c99b33b7f72724b2b6,Assessing the Uniqueness and Permanence of Facial Actions for Use in Biometric Applications,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, 202d1b08ebfdcaf807bcf5ce7a72466b5ec60e5d,Multi-agent based framework for person re-identification in video surveillance,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu, 20eabf10e9591443de95b726d90cda8efa7e53bb,Discriminative Histogram Intersection Metric Learning and Its Applications,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, 20b405d658b7bb88d176653758384e2e3e367039,Face recognition with manifold-based kernel discriminant analysis,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 2084902f20c3c3dd58ca063a2ec0d63e715e660c,Fusion of transfer learning features and its application in image classification,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, +20e24a40dc855fa69aa3d85b4bfdcfb8c9dadb74,Multi-Networks Joint Learning for Large-Scale Cross-Modal Retrieval,University of Chinese Academy of Sciences & CAS,"University of Chinese Academy of Sciences & CAS, Beijing, China","China, Beijing, Haidian, Zhongguancun South 1st Alley, 中关村南一条",39.98177000,116.33008600,edu, +20bda5e991a7c0774f2767b80de0ff54db1adf1b,Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks,"Pontificia Universidade Catolica do Rio Grande do Sul, Brazil","Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Av. Ipiranga, 6681, 90619-900, Porto Alegre, RS, Brazil","Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil",-30.05934460,-51.17349120,edu, 209a1f024ade2a22d483a7e2b10307a9d000826a,Learning image Vicept description via mixed-norm regularization for large scale semantic image search,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 20124806b1bbd5617b01fefe2ad06f1af5717c78,A person re-identification algorithm based on color topology,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +20c016843430bb65c60ea4011a9e8bbb5785c490,Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset,"DFKI GmbH, Kaiserslautern, Germany","DFKI GmbH, Kaiserslautern, Germany","Trippstadter Str. 122, 67663 Kaiserslautern, Germany",49.42951810,7.75138910,edu, +206bb63f675ce65ec61a8bdc402af529968f0772,SLAM pose-graph robustification via multi-scale Heat-Kernel analysis,India,India,India,20.59368400,78.96288000,edu, 20a2b3a0d6a8a5334425e7190cbbfcf5d02ce8e9,Social signal processing for pain monitoring using a hidden conditional random field,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 2042f1cacea262ec924f74994e49d5e87d9d0445,A survey of homeland security biometrics and forensics research,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, +2045fe2f21c30f364d6e699ea0bf0ea21d7f460e,Hierarchical clustering based facial expression analysis from video sequence,"HCL Technologies, Chennai, India","HCL Technologies, Chennai, India","4/293, Arihant Technopolis,, Arihant Technopolis, 4/293, Old Mahabalipuram Rd, Perungudi, Chennai, Tamil Nadu 600096, India",12.97060290,80.25039120,edu, +209ac2bac0f4235bea01216a987d87d9380260c7,Face and palmprint multimodal biometric systems using Gabor–Wigner transform as feature extraction,India,India,India,20.59368400,78.96288000,edu, +20c6c93cef3d0417b750a9c56a9587acb93500a4,B-Face: 0.2 MW CNN-Based Face Recognition Processor with Face Alignment for Mobile User Identification,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 20af3b2a011eabfdc3021a5e78995c5ce592575c,Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +2060d46b178719080d51bccb150a3f8f227807ce,Human count estimation in high density crowd images and videos,India,India,India,20.59368400,78.96288000,edu, 2070296caed1f915d05f7977181698104e2f14f9,Bilevel Multiview Latent Space Learning,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +58a09b1351ddb447e6abdede7233a4794d538155,A Crop/Weed Field Image Dataset for the Evaluation of Computer Vision Based Precision Agriculture Tasks,"Corporate Research, Robert Bosch GmbH, Stuttgart, Germany","Corporate Research, Robert Bosch GmbH, Stuttgart, Germany","Robert-Bosch-Platz 1, 70839 Gerlingen, Germany",48.78598000,9.06343000,edu, 5843b0d9346ea1fac1575f4d1d7795063eecaa28,A 3D Feature Descriptor Recovered from a Single 2D Palmprint Image,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 58df849378fbcfb6b1a8ebddfbe4caa450226b9d,Head pose estimation using learned discretization,"College of Computing, Georgia Tech","College of Computing, Georgia Tech","801 Atlantic Dr NW, Atlanta, GA 30332, USA",33.77743490,-84.39732080,edu, 58ca00c22a7a365f71ddbd8bd56c33ceecc325be,Gender classification in face images based on stacked-autoencoders method,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, +58f63d82c4f4c97e9f25b77a83ac04d084c3d56e,TaskFolder: Dynamic and Fine-Grained Workload Consolidation for Mobile Devices,India,India,India,20.59368400,78.96288000,edu, 587f58539ad6fdfd277853ca611730a81e773232,CANNET: Context aware nonlocal convolutional networks for semantic image segmentation,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 58217ae5423828ed5e1569bee93d491569d79970,Multi-Modal Human Verification Using Face and Speech,Chung-Ang University,Chung-Ang University,"중앙대학교, 서달로15길, 흑석동, 동작구, 서울특별시, 06981, 대한민국",37.50882000,126.96190000,edu, 58dbdfdc229237e0ba23eb55653f670cdce459a1,Subspace projection matrix completion on Grassmann manifold,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 58914e00b4927387d07bfe1efaed7cc7e51f1d77,Principal component net analysis for face recognition,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 580ee9b22c8f97642a3546ae3ded6d324d4b9098,Face Recognition with Convolutional Neural Networks and subspace learning,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +582ec12e629b2efbe1aae96fd331404e7a9a855e,Hybrid eye center localization using cascaded regression and robust circle fitting,"ModiFace Inc., Toronto, Canada","ModiFace Inc., Toronto, Canada","7 St Thomas St #502, Toronto, ON M5S 2B7, Canada",43.66832410,-79.39049140,edu, 58f94993d32c01b617adbb7a782cddb5b2dc461d,Estimating heights from photo collections: a data-driven approach,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 5825623a0768232da3ce121efe223638510420b4,Active Shape Model vs. Deep Learning for Facial Emotion Recognition in Security,University of Arkansas at Little Rock,University of Arkansas at Little Rock,"University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA",34.72236805,-92.33830255,edu, +587b8c147c6253878128ddacf6e5faf8272842a4,Driving High-Resolution Facial Scans with Video Performance Capture,University of Southern California Institute for Creative Technologies,"University of Southern California Institute for Creative Technologies, Los Angeles, CA","12015 E Waterfront Dr, Los Angeles, CA 90094, USA",33.98325260,-118.40417000,edu, 58c17688fc08eb69ff3b20803a227693289d63c5,Online multiple objects tracking with detection reliability prior constraint,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +5808a08c92a4eff3e8de798dd43fb860513b342b,Finding and improving the key-frames of long video sequences for face recognition,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, +584525fa2e6b3bbd4ca5e971aa7c372b6ce07e8c,Label localization by appearance guided graph inferring,"Institute of Automation, Chinese Academy of Science","Institute of Automation, Chinese Academy of Science, 95 Zhongguancun East Road, 100190 Beijing, China","Haidian, China, 100080",39.98019600,116.33330500,edu, 583e2dab221ad5d54c1b1cc0a9df4f1254bf3942,PPEDNet: Pyramid Pooling Encoder-Decoder Network for Real-Time Semantic Segmentation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 58d0c140597aa658345230615fb34e2c750d164c,Continuous Biometric Verification for Non-Repudiation of Remote Services,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 58c84f968b7b7d61f6073e1a8421ffad1597a46f,A Calibration Method for Eye-Gaze Estimation Systems Based on 3D Geometrical Optics,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +58ca5ac14af2765ce1d25c3a82d6f9312437ded0,Multiview Clustering via Adaptively Weighted Procrustes,China,China,China,35.86166000,104.19539700,edu, 581baa27b0404940da1d817bb44bcd9085039930,3D cartoon face rigging from sparse examples,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +583e0d218e1e7aaf9763a5493e7c18c2b8dd7464,Coded facial expression,Wakayama University,Wakayama University,"Japan, 〒640-8510 和歌山県和歌山市栄谷930",34.26575740,135.15177480,edu, 58538cc418bf41197fad4fc4ee2449b2daeb08b1,Face recognition based on the fusion of wavelet packet sub-images and fisher linear discriminant,Guangzhou University,Guangzhou University,"广州大学, 大学城中环西路, 广州大学城, 南村镇, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.04436505,113.36668458,edu, 58d43e32660446669ff54f29658961fe8bb6cc72,Automatic detection of obstructive sleep apnea using facial images,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +5864688d1af1c139c567f323b5056b2ded994b3e,Animating pictures of water scenes using video retrieval,"OLM Digital Inc, Setagaya, Japan","OLM Digital Inc, Setagaya, Japan","Japan, 〒154-0023 Tokyo, Setagaya, Wakabayashi, 1 Chome−18−10 みかみビル",35.64321450,139.66126650,edu, +58da24cf5db383781a9803a4dbe97e443c8a3b29,Emotional Dialogue Generation using Image-Grounded Language Models,Harvard University & Microsoft Research,"Harvard University & Microsoft Research, Boston, MA, USA","1 Memorial Dr, Cambridge, MA 02142, USA",42.36142560,-71.08120920,edu, 5810ce61fda464d4de2769bd899e12727bee0382,Smile detection using Pair-wise Distance Vector and Extreme Learning Machine,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +58192249cc6aa7b21ef32685f610585d5782544b,The FG 2015 Kinship Verification in the Wild Evaluation,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, France","Université de Lyon, CNRS, INSA-Lyon, LIRIS, France","40 Avenue Guy de Collongue, 69130 Écully, France",45.78359660,4.76789480,edu, +9797de286a3101fc31fb51995c18ec7d3eab804d,Modified Viola–Jones algorithm with GPU accelerated training and parallelized skin color filtering-based face detection,India,India,India,20.59368400,78.96288000,edu, +978b916b76e2b8e48e95ac6044445529c61c2735,Turkish sign language recognition application using Motion History Image,"HAVELSAN A.Ş., Ankara, Türkiye","HAVELSAN A.Ş., Ankara, Türkiye","NAMIK KEMAL MAHALLESİ, 06000 ÇANKAYA/Ankara, Turkey",39.91343400,32.77632500,edu, +97f5fb31317f75c7ba412caa1adb46de4c51c52d,QuMan: Profile-based Improvement of Cluster Utilization,"Foundation for Research and Technology--Hellas (FORTH), Greece","Foundation for Research and Technology--Hellas (FORTH), Greece","Οδός Σταδίου, Πλατάνι, Τ.Θ. 1414, Πάτρα, 26500, Greece",37.98007120,23.73148290,edu, 9729930ab0f9cbcd07f1105bc69c540330cda50a,Compressing Fisher Vector for Robust Face Recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +9700f1cf75c3908aca56d154b2a4424ce557a7b8,A concept acquisition method based on visual perception,China,China,China,35.86166000,104.19539700,edu, 976ca502622789fa2bd8a135e7a53cb999556909,Block-matching disparity map estimation using controlled search range,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, 97b24c34114730ef556737800912758c5232c47b,Local feature embedding for supervised image classification,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +97ea4b846be6598e2ee8e09134d1b3f966c4d0df,Facial Expression Recognition Using Gabor-Mean-DWT Feature Extraction Technique,India,India,India,20.59368400,78.96288000,edu, 976103822fbb72e71aa2b528ec67915a7b151688,Using a CNN ensemble for detecting pornographic and upskirt images,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +978b0c301383267a8ea8ce4f9a4c58bae236bdc2,Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, 97cdf5887f47ee49c6fb0ec5dc1530ac5b19a36a,Workload and variation aware thread scheduling for heterogeneous multi-processor,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 97d1f7df45b74357942eb5c965dbb77210f783e4,What makes an on-road object important?,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +974fea3530307da6d22ef91c6765f5404514b3c5,Cross-Domain Adversarial Feature Learning for Sketch Re-identification,China,China,China,35.86166000,104.19539700,edu, 976c9f88c23e892c75c452b450407841e5161a32,A regularized low-rank representation model for facial expression recognition,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 978b32ff990d636f7e2050bb05b8df7dfcbb42a1,Age invariant face recognition based on texture embedded discriminative graph model,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 974b32c4b74cc6a15f44cf8b5874d6f20273b21f,Leveraging geometry and appearance cues for recognizing family photos,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, 972b1a7ef8cc9c83c2c6d8d126f94f27b567d7d0,Artificial Neural Networks in Pattern Recognition,University of Siena,University of Siena,"大學 University, 澤祥街 Chak Cheung Street, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.41338620,114.21005800,edu, +97527b3c58591926800e3586e13d99a8cf5b17ff,Learning Affine Hull Representations for Multi-Shot Person Re-Identification,"Siemens Corporate Technology, Princeton, NJ, USA","Siemens Corporate Technology, Princeton, NJ, USA","755 College Rd E, Princeton, NJ 08540, USA",40.34420790,-74.59245990,edu, 978051446fe6899a538153aef3ece0d5ce590278,Audiovisual Synchrony Detection with Optimized Audio Features,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 9713e87734046cb7a2d040d71fa35cf93472ea80,Granular-based dense crowd density estimation,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, +970b0e6e29bbc7bafc0e6a387492538c71253304,"Visual-lidar odometry and mapping: low-drift, robust, and fast",Robotics Institute at Carnegie Mellon University,"Robotics Institute at Carnegie Mellon University, USA","Pittsburgh, PA 15213, USA",40.44327410,-79.94569950,edu, a047ea8f6dcafae5ce077952ee2b554580ed072a,On-road vehicle and pedestrian detection using improved codebook model,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, a094e52771baabe4ab37ef7853f9a4f534227457,Estimation of Driver Head Yaw Angle Using a Generic Geometric Model,"Amrita Vishwa Vidyapeetham, India","Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India","Amritapuri, Vallikavu, Kerala 690546, India",9.09368520,76.49158540,edu, a089b7627f4661e68fbb2acc4a741b98e54f1f09,"Knowledge Science, Engineering and Management",Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, +a07c72ff14394b4ca17ab5f7c7a431466dbd59ba,Real time security framework for detecting abnormal events at ATM installations,Graphic Era University,"Graphic Era University, Dehradun, India","566/6, Bell Road, Society Area, Clement Town, Dehradun, Uttarakhand 248002, India",30.26843030,77.99365410,edu, a092fc3ebecc9f4a6762104f0a796a7e86890881,Image Categorization Using Local Probabilistic Descriptors,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, a0023a8d89510cc192e9fc63b713b8d0f7a0b8e9,Environmental inversion effects in face perception,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, a0289b48b291879c2e4e52181baccb5183d81376,3D face identification using Curvelet transform,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, a057ea7d7c980fa53b0e0a87052ba11ad24157af,Experiential robot learning with deep neural networks,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, +a023d6c315d154e4fb74de6ddff5d4cdcb583326,Fake shadow detection using local HOG features,India,India,India,20.59368400,78.96288000,edu, a03a2154f9aaff21c190634c888ed6d4f8d52150,Space-Time Tree Ensemble for Action Recognition and Localization,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu, a05b1254630257fe27ee195ef05cc50ce6e41f22,Facial age estimation using hybrid Haar wavelet and color features with Support Vector Regression,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, +a00a59d79ff863c5ac8f1e0fa4a015de4ed734c0,Wavelet-Based Trace Alignment Algorithms for Heterogeneous Architectures,"Intel Corporation, Hudson, MA, USA","Intel Corporation, Hudson, MA, USA","75 Reed Rd, Hudson, MA 01749, USA",42.38140420,-71.55469530,edu, a0beb0cc6f167373f8b4b7458ff0ec42fc290a75,Design and implementation of a surveillance camera system with face recognition functionality,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +a05d26ea50e7bf9637c4a101a1bdd5a231da9e03,Face Recognition using Groups of Images in Smart Room Scenarios,Technical University of Catalonia,"Technical University of Catalonia, Barcelona, Spain. ferran@gps.tsc.upc.es","Carrer de Sor Eulàlia d'Anzizu, s/n, 08034 Barcelona, Spain",41.38917800,2.11209940,edu, a082c77e9a6c2e2313d8255e8e4c0677d325ce3e,Dynamic facial expression recognition by joint static and multi-time gap transition classification,Sorbonne,"Sorbonne Universités, UPMC Univ Paris 06, CNRS, UMR 7222, F-75005, Paris, France","4 Place Jussieu, 75005 Paris, France",48.84710360,2.35749900,edu, a01ed75aad9b842c9bdc4bfbff6d90fa8b747466,Latency-aware task scheduling on big.LITTLE heterogeneous computing architecture,Chang Gung University,Chang Gung University,"長庚科技大學林口校區, 261, 文化一路, A7合宜住宅, 樂善里, 木尾, 龜山區, 桃園市, 33301, 臺灣",25.03043800,121.39009513,edu, +a0c70766f1238f975db0ba687220ee78271d8b22,Face recognition using MB-LBP and PCA: A comparative study,India,India,India,20.59368400,78.96288000,edu, a08004ac0fac652d92a6c8bc6d7629f344db4d50,A framework for object class recognition with no visual examples,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +1eeb39d618f5fab243dd07b955a8e0e722f6dfdb,A reduced region of interest based approach for facial expression recognition from static images,India,India,India,20.59368400,78.96288000,edu, 1e768d4f8114969070dc2b8864c44ccbf7ca042f,Accurate Human Pose Estimation by Aggregating Multiple Pose Hypotheses Using Modified Kernel Density Approximation,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, +1ed4791ea3bb9a9503a1cb61b525757e0e4700dc,Adaptive scene correlation learning based on scale-invariant appearance co-occurrence model for camera network,China,China,China,35.86166000,104.19539700,edu, 1ed49161e58559be399ce7092569c19ddd39ca0b,Transferring from face recognition to face attribute prediction through adaptive selection of off-the-shelf CNN representations,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, 1ed617d14dbc53b20287d3405b14c68d8dad3965,Benchmarking a Multimodal and Multiview and Interactive Dataset for Human Action Recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +1e7ca1f8393c1a39e60329fce8560be92ac8c96b,Learning Spatio-Temporal Information for Multi-Object Tracking,China,China,China,35.86166000,104.19539700,edu, 1e213b03e1b8a6067bf37503904491e98b9e42df,Illumination transition image: Parameter-based illumination estimation and re-rendering,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, 1eb9c859ff7537182a25556635954bcd11830822,Multi-features fusion based CRFs for face segmentation,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +1e8cef4a24376bd12df5bbb4a1fd7a1af95cc2d8,Body orientation estimation with the ensemble of logistic regression classifiers,Shahrood University of Technology,"Shahrood University of Technology, Shahrood, Iran",استان سمنان، شاهرود، خیابان دانشگاه، Iran,36.39347730,54.94178380,edu, +1ef79451c83cd625a9d1c8941bcab850956f30f0,Deep Learning for Predicting Image Memorability,"Technicolor, 975 Avenue des Champs Blancs, Cesson-Sevigne, 35576, France","Technicolor, 975 Avenue des Champs Blancs, Cesson-Sevigne, 35576, France","975 Avenue des Champs Blancs, 35576 Cesson-Sévigné, France",48.13425240,-1.62083700,company, +1ece9e67cdc9141f3d27102d820ed9490ea57039,A novel SURF-based algorithm for tracking a ‘Human’ in a dynamic environment,India,India,India,20.59368400,78.96288000,edu, 1e2844dfdaabaf555fe6fa3162cfe454a4eeb3f6,3D Face Similarity Measure by Fréchet Distances of Geodesics,Capital Normal University,Capital Normal University,"首都师范大学, 岭南路, 西冉村, 海淀区, 100048, 中国",39.92864575,116.30104052,edu, +1ed1a49534ad8dd00f81939449f6389cfbc25321,A novel face recognition method based on 3D face model,China,China,China,35.86166000,104.19539700,edu, 1efd06c3ad14dd94c3f7c10e8b54fcf4ce5201a8,Sound Event Recognition Using Auditory-Receptive-Field Binary Pattern and Hierarchical-Diving Deep Belief Network,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +1ed93b32367351089815aeeedf06cde9e999a346,Future and Emerging Trends in Language Technology. Machine Learning and Big Data,University of Seville ,"University of Seville , Seville, Spain","Calle San Fernando, 4, 41004 Sevilla, Spain",37.38075790,-5.99123070,edu, 1edc51a447b9e26fdabd25b6daa1729df5bc5834,Combined 2D/3D Face Recognition Using Log-Gabor Templates,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 1e41d1d24200ba830285b2526735e147f2e64640,Animal Detection From Highly Cluttered Natural Scenes Using Spatiotemporal Object Region Proposals and Patch Verification,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 781e54b5ac35e21f30f5d1915103d7682b8d18fb,Combining pictorial structure and image features to estimate human pose,Soochow University,Soochow University,"苏州大学(天赐庄校区), 清荫路, 钟楼社区, 双塔街道, 姑苏区, 苏州市, 江苏省, 215001, 中国",31.30709510,120.63573987,edu, @@ -4268,2378 +6185,17 @@ a08004ac0fac652d92a6c8bc6d7629f344db4d50,A framework for object class recognitio 7831ab4f8c622d91974579c1ff749dadc170c73c,Video-to-video face matching: Establishing a baseline for unconstrained face recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 78d4d861c766af2a8da8855bece5da4e6eed2e1c,A comparison of facial feature representation methods for automatic facial expression recognition,University of the Western Cape,University of the Western Cape,"University of the Western Cape, Park Road, Cape Town Ward 9, Bellville, City of Cape Town, Western Cape, 7493, South Africa",-33.93277620,18.62915407,edu, 78e7e122773204b7cf3c321b01cdd3081e63af0c,A SSD-based Crowded Pedestrian Detection Method,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, +7820021d8a3eace969cea5f4865c5aeef4673596,Diagnosing Machine Learning Pipelines with Fine-grained Lineage,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu, 785eeac2e236a85a45b4e0356c0745279c31e089,Learning Person-Specific Representations From Faces in the Wild,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 782a05fbe30269ff8ab427109f5c4d0a577e5284,Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 7887824e9cc42914165dd3d96b956bff7560e4e4,An Enhanced LBP Feature Based on Facial Expression Recognition,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +78bb037c4ac31b2846766086fde83558dc3c17d2,Simple tag-based subclass representations for visually-varied image classes,"Yahoo Research, USA","Yahoo Research, USA","1680 N Glenville Dr # 100, Richardson, TX 75081, USA",32.97000100,-96.70543110,edu, 78216cd51e6e1cc014b83e27e7e78631ad44b899,Tracking facial features under occlusions and recognizing facial expressions in sign language,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 78e1798c3077f4f8a4df04ca35cd73f82e9a38f3,A hierarchical algorithm with multi-feature fusion for facial expression recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 782eee555067b2d6d24db87775e1ded5fb047491,Adaptive Multiple Experts System for personal identification using facial behaviour biometrics,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 78cec49ca0acd3b961021bc27d5cf78cbbbafc7e,Is face recognition really a Compressive Sensing problem?,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 7894e3888bf0bb4d37569457491517554872eab9,Outfit Recommender System,San Jose State University,San Jose State University,"SJSU, El Paseo de Cesar E. Chavez, Downtown Historic District, Japantown, San José, Santa Clara County, California, 95113, USA",37.33519080,-121.88126008,edu, +78034811e1d0adcaf88e3dc4d08ae1e03dbfcd94,A hybrid fusion scheme for color face recognition,"Shenzhen Sunwin Intelligent Co., Ltd, China","Shenzhen Sunwin Intelligent Co., Ltd, China",China,35.86166000,104.19539700,company, 78358320d0319c9239c0379efc0e7827b9c948a2,Semantic Hough Transform based object detection with Partial Least Squares,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 78611941ba25ea5e3d850a940c9e3a293798a08d,A Semi-Supervised Image Classification Model Based on Improved Ensemble Projection Algorithm,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, -"Institute of Informatics and Telecommunications NCSR 'Demokritos' Athens, Greece",37.9999803,23.8197479,"Νεαπόλεως 27 και, Patriarchou Grigoriou E, Ag. Paraskevi 153 41, Greece" -"LITIS laboratory, INSA de ROUEN - Université de Rouen IRSEEM, ESIGELEC",49.3849757,1.0683257,"685 Avenue de l'Université, 76800 Saint-Étienne-du-Rouvray, France" -"Yanshan University, Qinhuangdao, China",39.904508,119.539719,"438 Hebei Street West Section, Haigang Qu, Qinhuangdao Shi, Hebei Sheng, China" -"Institute of Computer Engineering, University of Lübeck, Lübeck, Germany",51.165691,10.451526,Germany -"Birla Institute of Technology and Science, Pilani, Pilani-333031, Rajasthan, India",28.3588163,75.58802039999999,"Pilani, Rajasthan 333031, India" -"Microsoft Research Cambridge, UK",52.1948902,0.1350481,"21 Station Rd, Cambridge CB1 2FB, UK" -"Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland",61.06456790000001,28.093246,"Yliopistonkatu 34, 53850 Lappeenranta, Finland" -"Université de Lyon, CNRS, INSA-Lyon, LIRIS, France",45.7835966,4.7678948,"40 Avenue Guy de Collongue, 69130 Écully, France" -"CDTA, Algeria",36.689487,2.981877,"haouch oukil، Cité 20 aout 1956 Baba Hassen 5 juillet 1962، Alger 16303, Algeria" -"Foundation for Research and Technology - Hellas, FORTH, Crete, Greece",35.305135,25.072592,"N., Leof. Plastira 100, Iraklio 700 13, Greece" -"Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany",52.526,13.3144875,"Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany" -"University of California at Irvine, Irvine, CA, USA",33.6404952,-117.8442962,"Irvine, CA 92697, USA" -"INRIA, Rocquencourt, France",48.8378281,2.1030058,"Domaine de Voluceau, 78150 Rocquencourt, France" -"CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France",43.5633427,1.4768695,"7 Avenue du Colonel Roche, 31400 Toulouse, France" -Technical University of Cluj-Napoca,46.769299,23.585613,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania" -"Electronics and Computer Engineering, University of Catania, Catania, Italy",37.52442420000001,15.069917,"Via S. Sofia, 64, 95125 Catania CT, Italy" -"Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK",53.4717306,-2.2399239,"John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom" -"Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, 70569 Stuttgart, Germany",48.7407561,9.0968731,"Nobelstraße 12, 70569 Stuttgart, Germany" -"University of Missouri-Columbia, USA",38.9403808,-92.32773750000001,"Columbia, MO 65211, USA" -"Enjoyor Labs, Enjoyor Inc., Hangzhou, China",30.274084,120.15507,"Hangzhou, Zhejiang, China" -Freie Universität Berlin,52.4525264,13.2896787,"Kaiserswerther Str. 16-18, 14195 Berlin, Germany" -"Gyan Ganga Institute of Technology & Sciences, Jabalpur, M.P, India - 482001",23.1291635,79.87483089999999,"P.O. Tilwara Ghat, Near Bargi Hills, Jabalpur, Madhya Pradesh 482003, India" -"Beijing Institute of Technology, Beijing, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"Adobe Systems Incorporated, San Jose, CA, 95110",37.3309307,-121.8940485,"345 Park Ave, San Jose, CA 95110, USA" -"LaBRI, University of Bordeaux, Talence, France",44.808375,-0.5967049999999999,"Domaine universitaire, 351, cours de la Libération, 33405 Talence, France" -"Ars Electronica Futurelab, Linz, Austria",48.3097431,14.2843268,"Ars-Electronica-Straße 1, 4040 Linz, Austria" -"Laboratorio de NeuroCognición, Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, Mexico",19.4326077,-99.133208,"Mexico City, CDMX, Mexico" -"Elektronik Mühendisliği Bölümü Ankara Üniversitesi, Ankara, Türkiye",39.7815563,32.8209453,"Bahçelievler Mahallesi, Ankara Ünv. 50. Yıl Kampüsü, 06830 Gölbaşı/Ankara, Turkey" -"Polish-Japanese Institute of Information Technology, Warsaw, Poland",52.223899,20.993956,"Koszykowa 86, 02-008 Warszawa, Poland" -"Morpho, Safran Group",43.7836563,-79.2879344,"4002 Sheppard Ave E #215, Scarborough, ON M1S 4R5, Canada" -"Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China",39.0607286,117.1256421,"393 Binshui W Rd, Xiqing Qu, China, 300384" -"NEC Soft, Ltd., 1-18-7 Shinkiba, Koto-ku, Tokyo 136-8627, Japan",35.6436358,139.8264612,"1 Chome-18-7 Shinkiba, Koto, Tokyo 136-0082, Japan" -"Social Robotics Lab, University of Freiburg, Germany",47.9935441,7.845949599999999,"Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany" -"Data and Knowledge Engineering Laboratory, King Mongkut's University of Technology Thonburi, Bangkok, Thailand",13.6510248,100.4953802,"126 Pracha Uthit Rd, Khwaeng Bang Mot, Khet Thung Khru, Krung Thep Maha Nakhon 10140, Thailand" -"NICTA, Canberra",-35.2809368,149.1300092,"Canberra ACT 2601, Australia" -"Zhejiang Gongshang University, Hangzhou, China",30.308752,120.388529,"18 Xuezheng St, Jianggan Qu, Hangzhou Shi, Zhejiang Sheng, China, 310018" -"Universidad de Alcala de Henares, Madrid, Madrid, Spain",40.4824722,-3.3628674,"Plaza de San Diego, s/n, 28801 Alcalá de Henares, Madrid, Spain" -"Trinity College Dublin, Dublin 2, Ireland",53.3437935,-6.254571599999999,"College Green, Dublin 2, Co. Dublin, Ireland" -"FotoNation Ltd., Galway, Ireland",53.3025673,-8.9863733,"Cliona, Building One, Parkmore East Business Park, Co. Galway, Ireland" -"Chongqing University of Technology, China",29.458326,106.529947,"69 Hongguang Ave, Banan Qu, Chongqing Shi, China" -"Wuhan University of Science and Technology, Wuhan, P. R. China, 430081",30.621883,114.370852,"China, Hubei, Wuhan, Qingshan, 和平大道947号" -"Indian Institute of Technology Bombay, Mumbai, India",19.1334302,72.9132679,"Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India" -"Politecnico di Torino, DAUIN, Italy",45.0642243,7.6597334,"d, Corso Castelfidardo, 34, 10138 Torino TO, Italy" -"Xerox Research Center in Webster, NY 14580, USA",43.2226672,-77.4179104,"Webster, NY 14580, USA" -"I2R, A*STAR, Singapore",1.2988926,103.7873107,"1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" -"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shannxi, P.R.China",34.250803,108.983693,"28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"ViNotion B.V., Eindhoven, The Netherlands",51.4468354,5.5223603,"Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands" -"DGIST, Daegu, Republic of Korea",35.705286,128.457102,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333" -"Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia",-37.8136276,144.9630576,"Melbourne VIC, Australia" -"University of Science and Technology, Tehran, Iran",35.742474,51.5023103,"Tehran, Tehran Province, Iran" -"Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India",23.1283862,72.54485079999999,"Sarkhej-Gandhinagar Highway, Gota, Ahmedabad, Gujarat 382481, India" -"Shandong University At Weihai, China",37.529734,122.060834,"180 Wenhua W Rd, Huancui Qu, Weihai Shi, Shandong Sheng, China, 264209" -"Harbin Inst. of Technol., China",45.7470436,126.6334306,"92 Xidazhi St, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150006" -"Pearl Special Needs Foundation, Ahmedabad, Gujarat, India-380007",23.009398,72.54922599999999,"53 Sharadanagar Society, Opp. Premvardhank Flats, Vikashgruh Road, Nr Dharnidhar Temple, Paldi, Ahmedabad, Gujarat 380007, India" -"Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, Lublin, Poland",51.2476612,22.5448036,"Aleje Racławickie 14, 20-950 Lublin, Poland" -"Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan",34.0000461,71.4759682,"Grand Trunk Rd, Rahat Abad, Peshawar, Khyber Pakhtunkhwa, Pakistan" -"USTC, China",31.821994,117.28059,"1129 Huizhou Ave, Baohe Qu, Hefei Shi, Anhui Sheng, China, 230022" -"EPFL, Lausanne (Switzerland)",46.5190557,6.5667576,"Route Cantonale, 1015 Lausanne, Switzerland" -"Centro de Informática, Universidade Federal de Pernambuco, Recife, PE, 50.740-560, Brazil",-8.0556681,-34.951578,"Av. Jorn. Aníbal Fernandes, s/n - Cidade Universitária, Recife - PE, 50740-560, Brazil" -"Anhui University of Technology, Maanshan, Anhui, China",31.692956,118.510711,"59 Hudong N Rd, Huashan Qu, Maanshan Shi, Anhui Sheng, China, 243000" -"Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia",1.5584123,103.6405041,"Balai Cerap UTM, Lengkok Suria, 81310 Skudai, Johor, Malaysia" -"Shaanxi Normal University, Xi’an, China",34.157596,108.893408,"China, Shaanxi, Xi'an, Chang'an, 长安南路" -"University of Brasilia, DF 70910-900 Brazil",-15.7631573,-47.8706311,"Brasilia - Federal District, 70910-900, Brazil" -"Univ. at Buffalo, SUNY, USA",43.0008093,-78.7889697,"Buffalo, NY 14260, USA" -"Indonesian Institute of The Arts, Yogyakarta, Indonesia",-7.811984000000001,110.3716317,"Gang Hiperkes 188 A-B Jalan Ireda, Dipowinatan Keparakan, Keparakan, Mergangsan, Kota Yogyakarta, Daerah Istimewa Yogyakarta 55152, Indonesia" -"Chalearn, Berkeley, California, USA",37.8715926,-122.272747,"Berkeley, CA, USA" -"LEAR Group, INRIA Grenoble Rhône-Alpes, Montbonnot, France",45.217886,5.807369,"655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France" -"Ecole Centrale Paris, Antony, France",48.708759,2.164006,"3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France" -"Nanjing University of Information Science & Technology, Nanjing, People’s Republic of China",32.20541,118.726956,"Pukou, Nanjing, China, 210044" -"Hunan city University, Yiyang, China",28.540055,112.387581,"Heshan, Yiyang, China" -"Intelligent Technology Laboratory, Inha University, Incheon, Korea",37.4500221,126.653488,"100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea" -"Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. sfwang@ustc.edu.cn",31.821994,117.28059,"1129 Huizhou Ave, Baohe Qu, Hefei Shi, Anhui Sheng, China, 230022" -"Nanjing Forestry University, Nanjing, China",32.080904,118.812736,"159 Longpan Rd, Xuanwu Qu, Nanjing Shi, Jiangsu Sheng, China, 210037" -"Gipsa-Lab, Saint Martin d’Heres, France",45.1934415,5.7663115,"11 Rue des Mathématiques, 38400 Saint-Martin-d'Hères, France" -"Technische Universität München, Garching, Germany",48.2648053,11.6688601,"Boltzmannstraße 15, 85748 Garching bei München, Germany" -"Wonkwang University, Iksan, Korea",35.9703446,126.9547563,"460 Iksan-daero, Sin-dong, Iksan, Jeollabuk-do, South Korea" -"Merses Center for Applied Research, Pforzheim University, Germany",48.8921862,8.6946286,"Pforzheim, Germany" -"Information Access Division, National Institute of Standards and Technology (NIST), Gaithersburg, USA",39.14004,-77.21850599999999,"100 Bureau Dr, Gaithersburg, MD 20899, USA" -4,37.2252928,-95.7104789,"Independence, KS 67301, USA" -"PES Center for Pattern Recognition, PESIT- Bangalore South Campus, India",12.8614515,77.6647081,"Hosur Rd, Konappana Agrahara, Electronic City, Bengaluru, Karnataka 560100, India" -"Kumamoto Prefectural College of Technology, Japan",32.888052,130.834192,"4455-1 Haramizu, Kikuyo, Kikuchi District, Kumamoto Prefecture 869-1102, Japan" -"Faculty of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany",49.0119199,8.4170303,"76131 Karlsruhe, Germany" -"Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Av. Ipiranga, 6681, 90619-900, Porto Alegre, RS, Brazil",-30.0593446,-51.1734912,"Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil" -"Telecom ParisTech, CNRS-LTCI, 46 rue Barrault, 75013 Paris, France",48.8262943,2.3464188,"46 Rue Barrault, 75013 Paris, France" -"Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China",31.2303904,121.4737021,"Shanghai, China" -"College of Information Science & Technology, Hebei Agricultural University, Baoding, China",38.85062000000001,115.483159,"Qimin Rd, Nan Shi Qu, Baoding Shi, Hebei Sheng, China, 071000" -"Tamil Nadu, India",11.1271225,78.6568942,"Tamil Nadu, India" -"Virginia Tech, Blacksburg, Virginia, USA",37.22838429999999,-80.42341669999999,"Blacksburg, VA 24061, USA" -"S.J.B. Inst. of Tech. Bangalore-560060, India",12.8998841,77.49578819999999,"No.67, Uttarahalli Main Road, Kengeri, BGS Health & Education City, Bengaluru, Karnataka 560060, India" -"Nat. Biometrics Test Center, San Jose State Univ., CA, USA",37.3351874,-121.8810715,"1 Washington Sq, San Jose, CA 95192, USA" -"KT Future Technology Laboratory, Seoul, South Korea",37.566535,126.9779692,"Seoul, South Korea" -"Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada",45.3256494,-75.6534594,"140 Thad Johnson Private, Ottawa, ON K1V 0R4, Canada" -"Laboratory of Computer and Embedded Systems, Sfax University, Sfax, Tunisia",34.7361066,10.7427275,"Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia" -"Faculty of Information Technology, Thai-Nichi Institute of Technology, Bangkok, Thailand 10250",13.738185,100.628672,"6/F Building A, 1771/1 ถนน พัฒนาการ 37, แขวง สวนหลวง เขต สวนหลวง กรุงเทพมหานคร 10250, Thailand" -"Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France",45.7280307,4.825942899999999,"7 Passage du Vercors, 69007 Lyon, France" -Media Integration and Communication Center - University of Florence,43.7761985,11.2629073,"Via Laura, 48, 50121 Firenze FI, Italy" -"Cogimage CRICM-UPMC/INSERM UMR-S975/CNRS UMR7225, Paris",48.8471036,2.357499,"4 Place Jussieu, 75005 Paris, France" -"National Institute of Advanced Industrial Science and Technology (AIST), Koto, Tokyo, Japan",35.618587,139.777024,"2 Chome-3-26 Aomi, Koto, Tokyo 135-0064, Japan" -"Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, Malaysia",3.073356,101.4977189,"Jalan Ilmu 1/1, Universiti Teknologi Mara, 40450 Shah Alam, Selangor, Malaysia" -"Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"Sichuan Police College, Luzhou, China",28.874513,105.431827,"China, Sichuan Sheng, Luzhou Shi, Jiangyang Qu, 江阳西路34号" -"Brain Computer Interfaces and Neural Engineering Laboratory, University of Essex, CO4 3SQ Colchester, UK",51.8760667,0.944417,"Wivenhoe Park, University of Essex, Colchester CO4 3SQ, UK" -"Beijing University of Posts and Telcommunications, Beijing, China",39.962796,116.358103,"10 Xitucheng Rd, BeiTaiPingZhuang, Haidian Qu, Beijing Shi, China, 100876" -"University of Genoa, Italy",44.4149029,8.926743000000002,"Via Balbi, 5, 16126 Genova GE, Italy" -"New Mexico Consortium, Los Alamos, USA",35.8772871,-106.2602831,"100 Entrada Dr, Los Alamos, NM 87544, USA" -"College of Information Technology, Zhejiang Chinese Medical University, Hangzhou, China",30.172752,120.149631,"548 Binwen Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China" -"Computer Science, Azusa Pacific University, Azusa, USA",34.1300755,-117.8883593,"901 E Alosta Ave, Azusa, CA 91702, USA" -"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy",40.7687118,14.7920179,"Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy" -"National Key Laboratory of Aerospace Intelligent Control Technology, Beijing 100854, P.R. China",39.90419989999999,116.4073963,"Beijing, China" -"Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil",-22.9791074,-43.23308249999999,"R. Marquês de São Vicente, 225 - Gávea, Rio de Janeiro - RJ, 22451-900, Brazil" -"Center for Technology Innovation - System Engineering, Hitachi, Ltd., 1-280 Higashi-koigakubo, Kokubunji, Tokyo 185-8601, Japan",35.7031409,139.4742569,"Japan, 〒185-8601 東京都国分寺市東恋ヶ窪一丁目280番地" -"Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK",55.862122,-4.2422851,"16 Richmond St, Glasgow G1 1XQ, UK" -"Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain",41.406498,2.1945432,"Rambla del Poblenou, 156, 08018 Barcelona, Spain" -"University of California, San Diego, La Jolla, USA",32.8800604,-117.2340135,"9500 Gilman Dr, La Jolla, CA 92093, USA" -"Sensors & Electron Devices Directorate, Army Research Laboratory, Adelphi, MD, USA",39.0298587,-76.9638027,"2800 Powder Mill Rd, Adelphi, MD 20783, USA" -Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it,45.4786698,9.2324209,"5 Politecnico di Milano, Via Giuseppe Ponzio, 34, 20133 Milano MI, Italy" -"Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran",35.7214094,51.3815586,"Tehran Province, Tehran, Jalal Al Ahmad St, Iran" -Wakayama University,34.2657574,135.1517748,"Japan, 〒640-8510 和歌山県和歌山市栄谷930" -"NOVA LINCS, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisboa, Portugal",38.733682,-9.160333,"1070 Lisbon, Portugal" -"University of New Orleans, New Orleans, LA70148, U.S.A",30.0285959,-90.0660365,"2000 Lakeshore Dr, New Orleans, LA 70148, USA" -"Florida Atlantic University, Boca Raton, USA",26.3750234,-80.1008751,"777 Glades Rd, Boca Raton, FL 33434, USA" -"Punjabi University, Patiala, India",30.3588884,76.4496525,"NH 64, Urban Estate Phase II, Patiala, Punjab 147002, India" -"Kalasalingam University, Krishnankoil, India",9.5747052,77.6798137,"MDR 194, Krishnan Kovil, Tamil Nadu 626126, India" -"Yuan Ze University, Taoyuan, Taiwan, R.O.C.",24.9701632,121.2674614,"No. 135, Yuandong Rd, Zhongli District, Taoyuan City, Taiwan 320" -"Faculty of Engineering, Ain Shams University, Cairo, Egypt",30.0645657,31.2788608,"1 El Sarayat St.، ABBASSEYA، Al Waili, Cairo Governorate 11535, Egypt" -"Science, Guizhou Normal University, Guiyang, Guizhou, 550025, P. R. China",26.5869154,106.7227525,"116 Baoshan N Rd, Yunyan Qu, Guiyang Shi, Guizhou Sheng, China, 550000" -"Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 133-791, Korea",37.59842200000001,127.043023,"South Korea, Seoul, Seongbuk-gu, Wolgok 2(i)-dong, 화랑로 14길 5" -"Facial Nerve Center, University Hospital Jena, Jena, Germany",50.9289028,11.5787572,"Bachstraße 18, 07743 Jena, Germany" -"Saad Dahleb University, Blida, Algeria",36.50465519999999,2.875721,"Ouled Yaïch, Algeria" -"Univ. Bordeaux, Bordeaux IMS Talence, France",44.808448,-0.5951719,"Bâtiment A31, 351 Cours de la Libération, 33400 Talence, France" -"Inspur, Shangdong, China",36.67812800000001,117.137436,"China, Shandong, Jinan, Lixia, 新泺大街1162号" -"Technicolor, 975 Avenue des Champs Blancs, Cesson-Sevigne, 35576, France",48.1342524,-1.620837,"975 Avenue des Champs Blancs, 35576 Cesson-Sévigné, France" -"Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia",-33.8840504,151.1992254,"Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia" -"Computer Vision Lab, Inha University, Inha-ro 100, Nam-gu, Incheon, South Korea",37.4500221,126.653488,"100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea" -"College of Information Science and Engineering Henan University of Technology Zhengzhou, 450001, P.R. China",34.829495,113.551715,"100 Lianhua St, Zhongyuan Qu, Zhengzhou Shi, Henan Sheng, China, 450066" -The Hebrew University,31.7945578,35.2414009,Jerusalem -"University of Kaiserslautern, Kaiserslautern, Germany",49.4253774,7.755549599999999,"Erwin-Schrödinger-Straße 1, 67663 Kaiserslautern, Germany" -"Ship Intelligence, Rolls-Royce Marine",29.313065,-94.80184059999999,"2929 Todd Rd, Galveston, TX 77554, USA" -"Chinese Academy of Science, Institute of Information Engineering, Beijing, China",39.97426,116.21589,"Minzhuang Rd, Haidian Qu, Beijing Shi, China, 100042" -"Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, India",22.5551808,88.3071379,"P.O. - Botanic Garden, Howrah, West Bengal 711103, India" -"ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.",53.7641378,-2.7092453,"Fylde Rd, Preston PR1 2HE, UK" -"Visual Inf. Process. Group, Imperial Coll. London, UK",51.498696,-0.1782991,"Level 5, Sherfield Building South Kensington Campus Imperial College, London SW7 2AZ, United Kingdom" -"university of science and technology, Beijing, 100083, China",39.989458,116.356945,"30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083" -"Elektrik ve Elektronik Mühendisli¿i Bölümü Bo¿aziçi Üniversitesi, Turkey",41.0847571,29.0510399,"Bebek Mh., 34342 Beşiktaş/İstanbul, Turkey" -"West Pomeranian University of Technology, Szczecin, Poland",53.42453649999999,14.5355133,"aleja Piastów 17, 70-310 Szczecin, Poland" -"UIIP, Minsk, Belarus",53.9201468,27.6033008,"vulica Surhanava 6, Minsk 220012, Belarus" -"University of Essex, Colchester, CO4 3SQ, United Kingdom",51.87772589999999,0.9472069000000001,"Wivenhoe Park, Colchester CO4 3SQ, UK" -"Corporate Technology, Siemens AG, München, Germany",48.0915928,11.6498297,"Otto-Hahn-Ring 6, 81739 München, Germany" -"Electrical Engineering and Computer Science, The Queens University, Belfast, Northern Ireland",54.581827,-5.9374652,"18 Malone Rd, Belfast BT9 6RT, UK" -"California State University, Fullerton",33.8829226,-117.8869261,"800 N State College Blvd, Fullerton, CA 92831, USA" -"College of Engineering and Technology, Arab Academy of Science and Technology & maritime transport, Egypt",30.0963725,31.3736885,"Sheraton Al Matar, Qism El-Nozha, Cairo Governorate, Egypt" -"Malviya National Institute of Technology Jaipur, India-302017",26.8630144,75.810592,"Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India" -"Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou 310018, China",30.3160097,120.3739407,"Jianggan, Hangzhou, Zhejiang, China, 310018" -"Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA",33.9737055,-117.3280644,"900 University Ave, Riverside, CA 92521, USA" -"University of Kaiserslautern & German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany",49.4295181,7.7513891,"Trippstadter Str. 122, 67663 Kaiserslautern, Germany" -"Kodak Research Laboratories, Eastiman Kodak Company, Rochester, USA",43.2029181,-77.62933269999999,"1422 Lake Ave, Rochester, NY 14615, USA" -"INRIA Grenoble Rhône-Alpes, Saint Ismier, France",45.217886,5.807369,"655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France" -India,20.593684,78.96288,India -"WILLOW Project, Département d’Informatique de l’École Normale Supérieure, ENS/INRIA/CNRS UMR 8548, Paris, France",48.8422058,2.3451689,"45 Rue d'Ulm, 75005 Paris, France" -"Dalian Key Lab of Digital Technology for National Culture, Dalian Nationalities University, Dalian, China",38.91400300000001,121.614682,"Dalian, Liaoning, China" -"University of Udine, Via Scienze 208, 33100, Italy",46.0810723,13.2119474,"Università degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy" -"Elektrik ve Elektronik Mühendisliği Bölümü, Bilecik Üniversitesi, Turkey",40.188883,29.968952,"Adapazarı Bilecik Yolu Bilecik Şeyh Edebali Üniversitesi Rektörlüğü, 11230 Gülümbe Köyü/Bilecik Merkez/Bilecik, Turkey" -India - 208016,26.5113857,80.2349196,"Kalyanpur, Kanpur, Uttar Pradesh 208016, India" -"Tomsk Polytechnic University (TPU), Tomsk, Russia",56.46524849999999,84.94968229999999,"пр-кт Ленина, 30, Tomsk, Tomskaya oblast', Russia, 634050" -"Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany",48.9474496,8.4117179,"Gutleuthausstraße 1, 76275 Ettlingen, Germany" -"Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan",35.1689843,137.0542921,"41番1 Yokomichi, Nagakute, Aichi Prefecture 480-1192, Japan" -"MIRACL Laboratory, College of Computers and Information Technology, Taif University, KSA",21.4330591,40.4911126,"8616, Al Hawiyah, At Taif 26571 4001, Saudi Arabia" -"Hunan 410083, China",28.1385457,112.9395155,"Yuelu, Changsha, Hunan, China, 410083" -"China University of Political Science and Law, Beijing 102249, China",40.222424,116.249923,"Songyuan Rd, Changping Qu, Beijing Shi, China, 102200" -"The University of Texas MD Anderson Cancer Center, Houston, 77030, USA",29.7073893,-95.398372,"1515 Holcombe Blvd, Houston, TX 77030, USA" -"PDPM-IIITDM, Jabalpur",23.1760482,80.0265179,"Airport Rd, PDPM IIITDM Jabalpur Campus, Khamaria, Jabalpur, Madhya Pradesh 482005, India" -"CEDRIC, Conservatoire National des Arts et Métiers, Paris, France",48.8700875,2.3563871,"32 Rue du Faubourg Saint-Martin, 75010 Paris, France" -"CNRS Heudiasyc UMR 7253, Université de Technologie de Compiègne, Compiègne, France",49.4018764,2.7969906,"57 Avenue de Landshut, 60200 Compiègne, France" -"Zuse Institute Berlin, Berlin, Germany",52.4561009,13.2981776,"Takustraße 7, 14195 Berlin, Germany" -"Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA",42.89881949999999,-78.8645872,"665 Elm St, Buffalo, NY 14203, USA" -"The Third Research Institute of the Ministry of Public Security, Shanghai, China",31.207006,121.451964,"China, Shanghai, Xuhui, 岳阳路76号" -"LIRIS, Université de Lyon, UMR CNRS 5205, Université Lyon 2, Bron, France",45.7280307,4.825942899999999,"7 Passage du Vercors, 69007 Lyon, France" -"Institut Fresnel, Université de Marseille, Marseille, France",43.339803,5.412104999999999,"52 Avenue Escadrille Normandie Niemen, 13013 Marseille, France" -"Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India",10.9026791,76.9006279,"Amritanagar, Ettimadai, Coimbatore, Tamil Nadu 641112, India" -Mirpur University of Science and Technology (MUST),33.1506182,73.7452115,"College Rd, New Mirpur City, Azad Jammu and Kashmir 10250" -"Indian Institute of Technology (Banaras Hindu University), Varanasi, India",25.2623247,82.98937350000001,"IIT-BHU, Banaras Hindu University Campus, Uttar Pradesh 221005, India" -"Youngstown State University, Youngstown, OH, USA",41.10626,-80.6477,"1 University Plaza, Youngstown, OH 44555, USA" -"Advanced Medical Electronics, Maple Grove, MN 55369 USA",45.115734,-93.42119,"8860 Zachary Ln N, Maple Grove, MN 55369, USA" -"College of Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China",39.98177,116.330086,"China, Beijing, Haidian, Zhongguancun South 1st Alley, 中关村南一条" -"College of Command Information Systems, PLA University of Science and Technology (PLAUST), Nanjing, China",31.97090699999999,118.8128989,"China, 双龙街60号" -NC 28301,35.06375209999999,-78.8722341,"E FAYETTEVLLE, NC 28301, USA" -"University of Buenos Aires, Argentina",-34.5998875,-58.37306949999999,"Viamonte 430, C1053 CABA, Argentina" -"University of Surrey Guildford, UK",51.2421839,-0.5905421,"388 Stag Hill, Guildford GU2 7XH, UK" -"Humanoid Research Center, Dep. of ME, KAIST, Daejeon, 34141, Korea",36.3721427,127.36039,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea" -"National ICT Australia, Eveleigh, Australia",-33.8954378,151.1972133,"5/13 Garden St, Eveleigh NSW 2015, Australia" -"East China University of Science and Technology, Shanghai, People’s Republic of China",31.140897,121.425248,"130 Meilong Rd, Xuhui Qu, Shanghai Shi, China, 200237" -NICTA,42.0087741,-87.89585489999999,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA" -"Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologia, Monte de Caparica, Portugal",38.660964,-9.205813,"Calçada de Alfazina 2, 2825-149 Caparica, Portugal" -"5th Engineering Bldg., Room 619, Shizuoka University, Naka-ku, Hamamatsu, Japan",34.7108955,137.7259397,"Naka Ward, Hamamatsu, Shizuoka Prefecture, Japan" -"NIT Calicut, Kerala, India",11.3215791,75.9336359,"Calicut Mukkam Road, Kattangal, Kerala 673601, India" -"Network Center, Huizhou University, Huizhou, China",23.112257,114.415801,"Huizhou, Guangdong, China" -"Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey",35.22901239999999,33.3246763,"Yakındoğu Blv, Lefkoşa" -"Faculty of Engineering, Shinshu University, Japan",36.6313498,138.1901014,"4 Chome-17-1 Wakasato, Nagano, Nagano Prefecture 380-0928, Japan" -"IIT Delhi, New Delhi, India",28.5444416,77.1968952,"IIT Delhi Main Rd, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, Delhi 110016, India" -"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia",-6.9174639,107.6191228,"Bandung, Bandung City, West Java, Indonesia" -"Sch. of Comput., Singapore Nat. Univ., Singapore",1.2966426,103.7763939,"21 Lower Kent Ridge Rd, Singapore 119077" -"Institute of Informatics, Silesian University of Technology, Gliwice, Poland",50.29165099999999,18.674531,"Akademicka 2A, 44-100 Gliwice, Poland" -"Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA",33.9737055,-117.3280644,"900 University Ave, Riverside, CA 92521, USA" -"GRAM, University of Alcalá, Alcalá de Henares, Spain",40.4824722,-3.3628674,"Plaza de San Diego, s/n, 28801 Alcalá de Henares, Madrid, Spain" -"Università di Trento, Povo, Italy",46.0655977,11.1508415,"Via Sommarive, 14, 38123 Povo TN, Italy" -"Control Methods & Robotics Lab, TU Darmstadt, Germany",49.8748277,8.6563281,"Karolinenpl. 5, 64289 Darmstadt, Germany" -"North China University of Technology, Beijing, 100041, China",39.9288883,116.1666241,"Shijingshan, Beijing, China, 100041" -"Institute for Studies in Theoretical Physics and Mathematics, Tehran, Iran",35.8099743,51.4699327,"Tehran Province, Tehran, Niavaran Building، Bahonar Sq., Iran" -"Polytechnic School, University of Alcalá, Madrid, Spain",40.5469202,-3.691551,"C/ Francisco Tomás y Valiente, 11 Universidad Autónoma de Madrid, Campus de Cantoblanco, Autonomous University of Madrid, 28049 Madrid, Spain" -"Faculty of Computers and Information Sciences, Mansoura University, Egypt",31.0423043,31.3519295,"Mit Khamis WA Kafr Al Mougi, Mansoura, Dakahlia Governorate, Egypt" -"Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda",52.2393971,6.850870899999999,"5, Drienerlolaan, 7522 NB Enschede, Netherlands" -"Universitat de Barcelona - CVC, Spain",41.386608,2.16402,"Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain" -"Key Laboratory of Urban Planning and Decision-Making Simulation, Shenzhen, China",22.543096,114.057865,"Shenzhen, Guangdong, China" -"Life Sciences Division, Lawrence Berkeley National Laboratory, California, U.S.A.",37.8759277,-122.2500274,"1 Cyclotron Rd, Berkeley, CA 94720, USA" -"JNTU College of Engineering, Kakinada, India",16.9814788,82.2407284,"Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh 533003, India" -"Institute for Computer Graphics and Vision, TU Graz, Austria",47.0582945,15.4581132,"Inffeldgasse 16, 8010 Graz, Austria" -"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19 Bratislava, Slovak Republic",48.15185320000001,17.0733446,"Ilkovičova 2961/3, 841 04 Karlova Ves, Slovakia" -"China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China",31.2985642,120.5846615,"Gusu, Suzhou, Jiangsu, China, 215000" -"Ghent University - imec, ELIS - IDLab, Pietersnieuwstraat, Ghent",51.0131627,3.7094185,"Technologiepark-Zwijnaarde 122, 9052 Gent, Belgium" -"Institute of Measurement and Control Systems at Karlsruhe Institute of Technology, Karlsruhe, Germany",49.0119199,8.4170303,"76131 Karlsruhe, Germany" -"University of Rhode Island, Kingston, RI, 02881",41.4860647,-71.5308537,"45 Upper College Rd, Kingston, RI 02881, USA" -"Biometric Recognition Group - ATVS, Escuela Politecnica Superior - Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain",40.5469202,-3.691551,"C/ Francisco Tomás y Valiente, 11 Universidad Autónoma de Madrid, Campus de Cantoblanco, Autonomous University of Madrid, 28049 Madrid, Spain" -"Samsung Research & Development Institute, Bangalore, India",12.9803537,77.6975101,"#2870, Phoenix Building, 4th Floor Bagmane Constellation Business Park, Outer Ring Rd, Doddanekundi, Marathahalli, Bengaluru, Karnataka 560037, India" -"University of Athens,, Athens, Greece",37.968196,23.7786871,"Athens 157 72, Greece" -"Chhotubhai Gopalbhai Patel Institute of Technology, Surat, India",21.0676868,73.13155429999999,"Maliba Campus, Gopal Vidyanagar, Bardoli - Mahuva Road, Tarsadi, Surat, Gujarat 394350, India" -"UNSW, Sydney, Australia",-33.917347,151.2312675,"Sydney NSW 2052, Australia" -"The University of Iowa, 52242, USA",41.659363,-91.54870989999999,"Iowa City, IA 52242, USA" -"Institute of Management and Information Technologies, Chiba University, Chiba, Japan",35.6277374,140.1033682,"Japan, 〒263-8522 Chiba Prefecture, 千葉市稲毛区弥生町1−33" -"Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. sfwang@ustc.edu.cn",31.821994,117.28059,"1129 Huizhou Ave, Baohe Qu, Hefei Shi, Anhui Sheng, China, 230022" -"Gipsa-Lab, Saint Martin d’Heres, France",45.1934415,5.7663115,"11 Rue des Mathématiques, 38400 Saint-Martin-d'Hères, France" -"CENTRALESUPELEC/IETR UMR6164, Team FAST (Facial Analysis, Synthesis and Tracking) Avenue de la Boulaie, 35576, Cesson-Sévigné, France",48.1252316,-1.6234012,"Campus de Rennes, Avenue de la Boulaie, 35510 Cesson-Sévigné, France" -"Bharati Vidyapeeth's College of Engineering, New Delhi, India",28.6758872,77.11321079999999,"A-4 Block, Baba Ramdev Marg, Shiva Enclave, Paschim Vihar, New Delhi, Delhi 110063, India" -"University of Verona, Verona - Italy",45.43739799999999,11.003376,"Via S. Francesco, 22, 37129 Verona VR, Italy" -"Sungkyul University, Anyang, Korea",37.384408,126.933618,"Sungkyul Christian Univ., Anyang Art Center, Myeonghak Station, Anyang-dong, Anyang, South Korea" -"Politehnica University of Bucharest, Bucharest, Romania",44.4386064,26.0494925,"Splaiul Independenței 313, București 060042, Romania" -"National Research Council, Italy",45.3290959,-75.6619858,"Research Private, Ottawa, ON K1V, Canada" -"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China",29.56488,106.468097,"China, Chongqing Shi, Shapingba Qu, ChongQing DaXue, 沙正街174号" -"Datang Guoxin Binhai Offshore Wind Power Co., Ltd",33.990334,119.82083,"Binhai, Yancheng, Jiangsu, China" -"Inria Paris, Paris, France",48.8416212,2.3844801,"2 Rue Simone IFF, 75012 Paris, France" -"University of Zaragoza, Spain",41.6420639,-0.9015065,"Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain" -"Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Modena, Italia",44.6451046,10.9279268,"Via Università, 4, 41121 Modena MO, Italy" -"Certis Lab, ENPC ParisTech, France",48.84057900000001,2.586968,"6-8 Avenue Blaise Pascal, 77420 Champs-sur-Marne, France" -"The 28th Research Institute of China Electronics Technology Group Corporation, China",39.0664393,117.2492751,"26 Dongting Rd, Hexi Qu, Tianjin Shi, China" -"Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. wanquan@cs.curtin.edu.au",-32.0061951,115.8944182,"Kent St, Bentley WA 6102, Australia" -"State University of Makassar, Indonesia",-5.1688095,119.4360118,"Jl. A. P. Pettarani, Tidung, Rappocini, Kota Makassar, Sulawesi Selatan 90222, Indonesia" -"NY 14627, USA",43.1318593,-77.623931,"Rochester, NY 14627, USA" -"Deparment of Information Media Technology, Tokai University, Japan",35.6644464,139.6845412,"2 Chome-28-4 Tomigaya, Shibuya, Tokyo 151-0063, Japan" -"Affiliated Shenzhen Maternal and Child Healthcare Hospital of Nanfang Medical University, 3012 Fuqiang Rd, Shenzhen, P.R. China",22.51913,114.049335,"3012 Fuqiang Rd, Futian Qu, Shenzhen Shi, Guangdong Sheng, China, 518048" -"Jinling Institute of Technology, Nanjing, China",32.025815,118.793999,"Qinhuai, Nanjing, China" -"Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland",51.7537146,19.4517176,"Stefana Żeromskiego 116, 90-924 Łódź, Poland" -"University of Science and Technology Beijing, 100083, CHINA",39.989458,116.356945,"30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083" -"Vision and Pattern Recognition Systems Research Group, Capital University of Science and Technology, Islamabad, Pakistan",33.5467571,73.18398839999999,"Kahuta Road، Sihala, Islamabad, Islamabad Capital Territory, Pakistan" -"Henan University, Kaifeng, China",34.808921,114.369752,"Minglun St, Shunhe Huizuqu, Kaifeng Shi, Henan Sheng, China, 475001" -"National Institute of Advance Industrial Science and Technology, Tsukuba City, Ibaraki, Japan",36.0614634,140.1338907,"1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan" -"Philips Research, Eindhoven, The Netherlands, berk.gokberk@philips.com",51.4117522,5.4586652,"High Tech Campus 34, 5656 AE Eindhoven, Netherlands" -"The University of Twente, The Netherlands",52.2393971,6.850870899999999,"5, Drienerlolaan, 7522 NB Enschede, Netherlands" -"Yahoo! Research, San Francisco, CA, USA",37.7749295,-122.4194155,"San Francisco, CA, USA" -"Laboratory of Computer, Vision and Media Technology (CVMT), at Aalborg University, Niels Jernes, Vej 14, Aalborg, Denmark",57.0145665,9.9818527,"Fredrik Bajers Vej 5, 9100 Aalborg, Denmark" -"Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea",35.7027078,128.4546272,"223 Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, South Korea" -"GGITS, Jabalpur",23.1291635,79.87483089999999,"P.O. Tilwara Ghat, Near Bargi Hills, Jabalpur, Madhya Pradesh 482003, India" -"South Valley University, Qena, Egypt",26.1920826,32.7452739,"Qena - Nqada, قنا، 83523, Egypt" -"Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia",3.0696169,101.5037637,"Jalan Ilmu 1/1, 40450 Shah Alam, Selangor, Malaysia" -"University of California, Davis, Davis, CA, USA",38.5382322,-121.7617125,"1 Shields Ave, Davis, CA 95616, USA" -"University of Seville , Seville, Spain",37.3807579,-5.9912307,"Calle San Fernando, 4, 41004 Sevilla, Spain" -"Institute of Automation, Chinese Academy of Science, 95 Zhongguancun East Road, 100190 Beijing, China",39.980196,116.333305,"Haidian, China, 100080" -"Montana State University, Bozeman, MT 59717, USA",45.6603986,-111.0451818,"Bozeman, MT 59717, USA" -"Vision and Pattern Recognition Systems (VisPRS) Research Group Muhammad Ali Jinnah University, Islamabad, Pakistan",33.6844202,73.04788479999999,"Islamabad, Islamabad Capital Territory, Pakistan" -"Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal",40.27730770000001,-7.509580099999999,"Estr. da Palmatória 1, 6200-161 Covilhã, Portugal" -"B. V. M Engineering College, Vallabh Vidyanagar, India",22.5525703,72.9238183,"Vallabh Vidyanagar, Anand, Gujarat 388120, India" -"LaBRI, University of Bordeaux, UMR 5800, F-33400 Talence, France",44.808375,-0.5967049999999999,"Domaine universitaire, 351, cours de la Libération, 33405 Talence, France" -"Nippon Telegraph and Telephone Corporation, Kanagawa, Japan",35.4475073,139.6423446,"Kanagawa Prefecture, Japan" -"Beijing Institute of Technology, 100081, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"DISI, Università di Genova, Italy",44.4149029,8.926743000000002,"Via Balbi, 5, 16126 Genova GE, Italy" -"Zhejiang Normal University Jinhua, P.R. China",29.130555,119.63673,"Wenli Rd, Wucheng Qu, Jinhua Shi, Zhejiang Sheng, China, 321001" -"INRIA Grenoble Rhône-Alpes, France",45.217886,5.807369,"655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France" -Renault S.A.S.,31.8438046,-116.6039013,"Militar, 22880 Ensenada, B.C., Mexico" -"University at Buffalo, SUNY Buffalo NY 14260 USA",43.0008093,-78.7889697,"Buffalo, NY 14260, USA" -"LORIA, Villers-lès-Nancy Cedex, France",48.66579549999999,6.158420700000001,"Campus Scientifique, 615 Rue du Jardin-Botanique, 54506 Vandœuvre-lès-Nancy, France" -"Laboratoire d’interprétation et de traitement d’images et vidéo, Polytechnique Montréal, Montreal, Canada",45.50438399999999,-73.6128829,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada" -"North China Sea Environmental Monitoring Center, State Oceanic Administration",35.86166,104.195397,China -"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia",22.309465,39.104697,"Thuwal 23955, Saudi Arabia" -"Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, 28933 Móstoles (Madrid), Spain",40.3358661,-3.8769432,"Calle Tulipán, s/n, 28933 Móstoles, Madrid, Spain" -"ITM University, Gwalior, India",26.1382122,78.2077886,"Jhansi Rd, Gwalior, Madhya Pradesh 475001, India" -"College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, China",30.2308529,115.063922,"11 Cihu Rd, Huangshigang Qu, Huangshi Shi, Hubei Sheng, China, 435002" -"IBM Research - Tokyo, Japan",35.6785417,139.7871238,"19-21 Nihonbashihakozakicho, Chūō, Tokyo 103-8510, Japan" -Staqu Technologies,28.481275,77.10044669999999,"3rd floor, Mehrauli-Gurgaon Road, Sikanderpur, Sector 26, Gurugram, Haryana 122002, India" -"Malaysian Institue of Industrial Technology, Universiti Kuala Lumpur, Johor",1.524885,103.894249,"Jalan Persiaran Sinaran Ilmu, Bandar Seri Alam, 81750 Masai, Johor, Malaysia" -"Pattern Analysis and Machine Intelligence Lab, Discipline of Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India",22.5203597,75.9207231,"Khandwa Rd, Simrol, Madhya Pradesh 453552, India" -"University of California, Santa Cruz, Santa Cruz",36.9915847,-122.0582771,"1156 High St, Santa Cruz, CA 95064, USA" -"UC San Diego, La Jolla, CA 92093, USA",32.8800604,-117.2340135,"9500 Gilman Dr, La Jolla, CA 92093, USA" -"LiberoVision AG, Zurich",47.3902947,8.515176799999999,"Technoparkstrasse 1, 8005 Zürich, Switzerland" -"College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei, 443002, China",30.72048199999999,111.318127,"8 Daxue Rd, Xiling Qu, Yichang Shi, Hubei Sheng, China, 443003" -"College of Information and Control Engineering, China University of Petroleum, Beijing, China",40.219336,116.247391,"18 Fuxue Rd, Changping Qu, Beijing Shi, China, 102200" -"University of Southern California / University of Houston, e-mail: sucontph@usc.edu",34.0223519,-118.285117,"Los Angeles, CA 90007, USA" -"Telecommunications and Information Technology, Polytechnic University of Bucharest, Romania",44.4337844,26.0575959,"Complex studențesc Leu, corp A, B, Bulevardul Iuliu Maniu 1-3, București 061071, Romania" -"Yahoo! Research, Sunnyvale, CA, USA",37.36883,-122.0363496,"Sunnyvale, CA, USA" -"Youngstown State University, Youngstown, OH, USA",41.10626,-80.6477,"1 University Plaza, Youngstown, OH 44555, USA" -"GTÜ Bilgisayarla Görme Lab, Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye",40.8091279,29.3650175,"Cumhuriyet Mahallesi, 2254. Sk. No:2, 41400 Gebze/Kocaeli, Turkey" -"College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China",36.650156,117.046138,"China, Shandong, Jinan, Lixia, 经十路16369" -"University of Kansas, Lawrence, KS",38.9543439,-95.2557961,"1450 Jayhawk Blvd, Lawrence, KS 66045, USA" -"Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"IRIT-ENSEEIHT, FRANCE",43.6020384,1.4544087,"2 Rue Charles Camichel, 31000 Toulouse, France" -"Faculty of Technical Sciences, Novi Sad, Serbia",45.2461012,19.8516968,"Trg Dositeja Obradovića 6, Novi Sad 106314, Serbia" -"National Institute of Electronics and Information Technology, Aizawl Aizawl, Mizoram, India",23.7538315,92.7409279,"Zuangtui-Selesih Road, Industrial Estate, Zuangtui, Aizawl, Mizoram 796017, India" -"Università degli Studi dell'Insubria, Varese, Italy",45.81454799999999,8.827665,"Via Ravasi, 2, 21100 Varese VA, Italy" -"University of Science and Technology Beijing, Beijing, China",39.989458,116.356945,"30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083" -"Imperial College, London, England",51.49879970000001,-0.1748772,"Kensington, London SW7 2AZ, UK" -"Malaviya National Institute of Technology, Jaipur, India",26.8630144,75.810592,"Jawahar Lal Nehru Marg, Jhalana Gram, Malviya Nagar, Jaipur, Rajasthan 302017, India" -"Xerox Research Center in Webster, NY 14580, USA",43.2226672,-77.4179104,"Webster, NY 14580, USA" -"State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China",39.960389,116.318567,"5 Zhongguancun S St, Haidian Qu, Beijing Shi, China" -"Istituto Chiossone, Italy",44.3928406,8.962640799999999,"Corso Italia, 10, 16145 Genova GE, Italy" -"University of Missouri-Kansas City, MO, USA",39.0335539,-94.57602589999999,"5100 Rockhill Rd, Kansas City, MO 64110, USA" -"Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People’s Republic of China",25.28164,110.337304,"1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China" -"Second University of Naples, Caserta, Italy",41.0675837,14.3312805,"Viale Abramo Lincoln, 5, 81100 Caserta CE, Italy" -"Instrumentation Engineering, Hanbat National University, Daejeon, Korea",36.35078,127.3011981,"125 Dongseo-daero, Deogmyeong-dong, Yuseong-gu, Daejeon, South Korea" -"International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia",3.2528396,101.7313782,"Faculty of Engineering, International Islamic University Malaysia, P.O. Box 10, Kuala Lumpur, 50728, Kuala Lumpur, WP Kuala Lumpur, Malaysia" -"Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia",4.340067299999999,101.1429799,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia" -"Research Center for Information Technology Innovation, Taipei, Taiwan",25.0419819,121.6154552,"115, Taiwan, Taipei City, Nangang District, 研究院路二段128號" -"Ruhr-Universität Bochum, Bochum, Germany",51.44566589999999,7.261609300000001,"Universitätsstraße 150, 44801 Bochum, Germany" -"TAMS group, University of Hamburg. Vogt-Koelln-Strasse 30, 22527, Germany",53.59934999999999,9.93191,"Vogt-Kölln-Straße 30, 22527 Hamburg, Germany" -"Chonnam National University, Gwangju, Korea Rep.",35.1761175,126.9058167,"77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea" -"JNTU College of Engineering, Hyderabad, India",17.4932742,78.39146389999999,"Kukatpally, Hyderabad, Telangana 500085, India" -"Oxford Brookes University and Sony Computer Entertainment, London, UK",51.755011,-1.224225,"Headington Rd, Oxford OX3 0BP, UK" -"Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran",35.7794369,51.49106889999999,"Tehran Province, Tehran, Lavizan، شعبانلو، Iran" -"Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia",-33.8840504,151.1992254,"Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia" -"SPS-VCA, TU/e, 5600 MB Eindhoven, the Netherlands",51.44860980000001,5.4907148,"5612 AZ Eindhoven, Netherlands" -"INESC TEC, Campus da FEUP, Rua Dr. Roberto Frias, Porto, Portugal",41.1779401,-8.5976876,"s/n, R. Dr. Roberto Frias, 4200-465 Porto, Portugal" -"Lappeenranta University of Technology, Lappeenranta, Finland",61.06456790000001,28.093246,"Yliopistonkatu 34, 53850 Lappeenranta, Finland" -"HIIT, University of Helsinki",60.1726348,24.9510419,"Yliopistonkatu 4, 00100 Helsinki, Finland" -"Robotics and Embedded Systems, Technische Universität München, Garching, Germany",48.14966,11.5678602,"Arcisstraße 21, 80333 München, Germany" -"German Research Center for Artificial Intelligence (DFKI GmbH), Saarland Informatics Campus, Saarbrücken, Germany",49.256811,7.042171,"Campus D3 2, 66123 Saarbrücken, Germany" -"Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248",33.2416008,-111.8839083,"4500 S Dobson Rd, Chandler, AZ 85248, USA" -"Digital Optics Corporation, Bucharest, Romania",44.4267674,26.1025384,"Bucharest, Romania" -"Electronic, and Communication Engineering, Chuo University, Tokyo,Japan",36.204824,138.252924,Japan -"German Research Center for Artificial Intelligence, Kaiserslautern, Germany",49.4295181,7.7513891,"Trippstadter Str. 122, 67663 Kaiserslautern, Germany" -"Siemens Corporate Research, yanghai.tsin@siemens.com",40.3442079,-74.5924599,"755 College Rd E, Princeton, NJ 08540, USA" -"Klagenfurt University, Klagenfurt, Austria",46.616079,14.2652899,"Universitätsstraße 65-67, 9020 Klagenfurt am Wörthersee, Austria" -"Osaka University Osaka, Japan",34.8220139,135.5244676,"1-1 Yamadaoka, Suita, Osaka Prefecture 565-0871, Japan" -"7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan",35.7143156,139.7600412,"Japan, Engineering Building Number 1 〒113-8654 Tokyo, Bunkyo, Hongo, 7−3−1" -"Jiangxi University of Finance and Economics, China",28.727339,115.816633,"Qingshanhu, Nanchang, China, 330000" -"University of Mysore, Mysore, India & institut TELECOM, TELECOM and Management SudParis, France",48.830234,2.335803,"37-39 Rue Dareau, 75014 Paris, France" -"Jawaharlal Nehru University, New Delhi - India",28.540214,77.1661949,"New Mehrauli Road, Delhi 110067, India" -"National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China, 100190",39.979203,116.33287,"China, Beijing, Haidian, 中关村东路95号" -"South Westphalia University of Applied Sciences, Soest, Germany",51.5621507,8.1134407,"Lübecker Ring 2, 59494 Soest, Germany" -"Faculty of Computing and Information Technology, Setapak, Malaysia",3.215201,101.7266369,"University College, Bangunan Tan Sri Khaw Kai Boh (Block A), Tunku Abdul Rahman, 53100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia" -"CEA, LIST, France",48.7275193,2.1568488,"Bâtiment 565, 91191 Gif-sur-Yvette, France" -"E. U. P. Mataró, Avda. Puig Cadafalch 101, 08303 MATARO, SPAIN",41.5431825,2.428283,"08303 Mataró, Barcelona, Spain" -"College of Information Engineering, Shenzhen, China",22.526348,113.938619,"Keyuan Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China" -"Computer Engineering, University of Alcala, Alcalá de Henares, 28806 Madrid, Spain",40.4824722,-3.3628674,"Plaza de San Diego, s/n, 28801 Alcalá de Henares, Madrid, Spain" -"Trinity College Dublin, Dublin 2, Ireland",53.3437935,-6.254571599999999,"College Green, Dublin 2, Co. Dublin, Ireland" -"Samsum R&D, Institute China-Beijing, Floor 18, Sun Palace Building, 12A Sun Palace Road, Chaoyang District, Beijing, 100020, China",39.9712673,116.4469592,"Tai Yang Gong Da Sha, Chaoyang Qu, Beijing Shi, China, 100096" -"Disney Research, Zürich, Switzerland",47.3804769,8.5429964,"Stampfenbachstrasse 48, 8006 Zürich, Switzerland" -"Université Jean Monnet, Laboratoire Hubert Curien - UMR CNRS 5516, 18 rue du Professeur B. Lauras, 42000 Saint-Etienne, France",45.453192,4.3861253,"Bâtiment F, 18 Rue Professeur Benoît Lauras, 42000 Saint-Étienne, France" -"LIFL, Télécom Lille 1, UMR USTL/CNRS 8022, France",50.63165619999999,3.0752035,"42 Rue Paul Duez, 59000 Lille, France" -"Intelligence Technology Innovation Center, Washington, DC. king@biometrics.org",38.9071923,-77.0368707,"Washington, DC, USA" -"German Aerospace Center (DLR), Germany",50.85502400000001,7.1194976,"Linder Höhe, 51147 Köln, Germany" -"Universidade Federal do Ceará, Fortaleza, CE, Brazil",-3.746067,-38.571879,"Campus do Pici, ICA - Av. Mister Hull, s/n - Pici, Fortaleza - CE, 60455-760, Brazil" -"Hunan City University, Yiyang, China",28.540055,112.387581,"Heshan, Yiyang, China" -"University of Alcalá, Alcalá de Henares, Spain",40.4824722,-3.3628674,"Plaza de San Diego, s/n, 28801 Alcalá de Henares, Madrid, Spain" -"Federal University of Ceará, Fortaleza, Brazil",-3.741741499999999,-38.53868620000001,"R. Cinco, 100 - Pres. Kennedy, Fortaleza - CE, 60355-636, Brazil" -"Agency for Science Technology and Research, Institute for Infocomm Research, Singapore",1.2988926,103.7873107,"1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" -"East West University, Dhaka, Bangladesh",23.7685661,90.4255764,"Jahurul Islam City Gate, A/2 Jahurul Islam Ave, Dhaka 1212, Bangladesh" -"Center for Automation Research, UMIACS University of Maryland, College Park, MD 20742",38.9907524,-76.9362708,"115 Paint Branch Dr, College Park, MD 20742, USA" -"Microsoft Research Asia, Haidian District, China",39.979372,116.310315,"Zhongguancun, Haidian, China, 100080" -"University of Verona, Italy",45.43739799999999,11.003376,"Via S. Francesco, 22, 37129 Verona VR, Italy" -"Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam",10.8703,106.8034513,"Khu phố 6 P, Vietnam" -"Batman University, Batman, Turkey",37.7873005,41.06279139999999,"Yenişehir Mahallesi, Batman Üniversitesi Merkez Kampüsü, 72000 Merkez/Batman Merkez/Batman, Turkey" -"Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany",48.943208,8.3980172,"76275 Ettlingen, Germany" -"Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; guerfi@iut.unif-evry.fr",48.6242543,2.4271918,"23 Boulevard François Mitterrand, 91000 Évry, France" -"Institute for Mathematical Stochastics, University of Göttingen, Germany",51.165691,10.451526,Germany -"University of Vigo, jalba@gts.tsc.uvigo.es",42.1697632,-8.6845784,"Circunvalación ao Campus Universitario, 36310 Vigo, Pontevedra, Spain" -"Lanzhou University of Finance and Economics, Lanzhou 730020, China",36.044192,103.894042,"Duanjiatan Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China" -"Dipartimento di Informatica, Università Degli Studi di Torino, Turin, Italy",45.09009409999999,7.659178599999999,"Via Pessinetto, 12, 10149 Torino TO, Italy" -"(CSE)PGOI, Indore",22.6454227,75.90758799999999,"Bypass Road , Ralamandal, Indore, Madhya Pradesh 452020, India" -"Beiing Institute of Technology Beijing, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"Université de Toulouse, Toulouse, France",43.5943757,1.4506494,"41 Allée Jules Guesde, 31000 Toulouse, France" -"University of Applied Sciences of Western Switzerland, Fribourg, Switzerland",46.7933068,7.159055599999999,"Bd de Pérolles 80, 1705 Fribourg, Switzerland" -"University of Bejaia, Algeria",36.75026709999999,5.0407496,"Béjaïa, Algeria" -"Western University, London, ON, N6A 5B7, Canada",43.0095971,-81.2737336,"1151 Richmond St, London, ON N6A 3K7, Canada" -"LITIS EA 4108, University of Rouen, France",49.4583047,1.0688892,"1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France" -"CARTIF Foundation, Valladolid, Spain",41.519231,-4.7171015,"Parque Tecnológico de Boecillo, 205, 47151 Boecillo, Valladolid, Spain" -"Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Coventry, UK",52.4052898,-1.4996593,"1 Gulson Rd, Coventry CV1 2JH, UK" -"Virginia Tech, Blacksburg, USA",37.22838429999999,-80.42341669999999,"Blacksburg, VA 24061, USA" -"Eastern Virginia Medical School, Norfolk, VA, USA",36.860402,-76.3036051,"825 Fairfax Ave, Norfolk, VA 23507, USA" -"Technical University of Catalonia, Barcelona, Spain. ferran@gps.tsc.upc.es",41.389178,2.1120994,"Carrer de Sor Eulàlia d'Anzizu, s/n, 08034 Barcelona, Spain" -"CEA, Gif-Sur-Yvette, France",48.7126467,2.1477867,"Jard des Merisiers, 91191 Gif-sur-Yvette, France" -"International Computer Science Institute, University of California at Berkeley, Berkeley, USA",37.8701543,-122.2712312,"1947 Center St, Berkeley, CA 94704, USA" -"GSCM-LRIT, Faculty of Sciences, Mohammed V University, PO.Box 1014, Rabat, Morocco",34.0076598,-6.8382597,"Avenue Ibn Batouta, Rabat, Morocco" -"Fraunhofer Institute for Computer Graphics Research, Germany",49.87421699999999,8.659512,"Fraunhoferstraße 5, 64283 Darmstadt, Germany" -"Vision Laboratory, LARSyS University of the Algarve, Faro, Portugal",37.0439713,-7.972207900000001,"Estr. da Penha 139, 8005-139 Faro, Portugal" -"Inha University, Republic of Korea",37.4500221,126.653488,"100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea" -"FZI Research Center for Information Technology, 76131 Karlsruhe, Germany",49.011869,8.4255266,"Haid-und-Neu-Straße 10-14, 76131 Karlsruhe, Germany" -"Politecnico di Torino, Torino, Italy",45.062914,7.677314,"Corso Duca degli Abruzzi, 24, 10129 Torino TO, Italy" -"Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Turkey",39.7912871,30.4991884,"Yeşiltepe Mahallesi, Yunus Emre Kampüsü, 26470 Tepebaşı/Eskişehir, Turkey" -"North China University of Technology, Beijing, 100041, China",39.9288883,116.1666241,"Shijingshan, Beijing, China, 100041" -"Pattern Recognition Group, University of Siegen, Siegen, Germany",50.9112613,8.025453299999999,"Adolf-Reichwein-Straße 2, 57068 Siegen, Germany" -"Orthopaedic Biomechanics, Eindhoven University, Eindhoven, Netherlands",51.44860980000001,5.4907148,"5612 AZ Eindhoven, Netherlands" -Ternopil National Economic University,49.5550079,25.5954355,"Tarasa Shevchenka Blvd, 9, Ternopil, Ternopil's'ka oblast, Ukraine, 46000" -"Hanshan Normal University, Chaozhou, China",23.657869,116.663859,"Dongshan Rd, Xiangqiao Qu, Chaozhou Shi, Guangdong Sheng, China" -"Daimler A.G, Boeblingen, Germany",48.6790491,8.9766462,"Hanns-Klemm-Straße 45, 71034 Böblingen, Germany" -"Electronics and Computer Engineering, University of Catania, Catania, Italy",37.52442420000001,15.069917,"Via S. Sofia, 64, 95125 Catania CT, Italy" -"Northwest University of China, Xi’an, China",34.14552,108.875136,"Chang'an Western University Town Shangquan, Chang'an, Xi'an, China" -"1-1 Showa-cho, DENSO CORPORATION, Kariya, Aichi, 448-8661, Japan",34.9966954,137.006405,"Japan, 〒448-8661 Aichi Prefecture, Kariya, 刈谷市昭和町1-1" -"Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye",41.0288022,28.89001429999999,"Çifte Havuzlar Mahallesi, 34220 Esenler/İstanbul, Turkey" -"Beijing Institute of Technology, Beijing, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"Instituto de Microelectronica de Sevilla, IMSE-CNM-CSIC, Spain",37.412184,-6.005945,"Parque Científico y Tecnológico Cartuja, Calle Américo Vespucio, s/n, 41092 Sevilla, Spain" -"Faculty of Engineering and Information Technology, INTI International University, Nilai, Malaysia",2.8139714,101.7582411,"Persiaran Perdana BBN, Putra Nilai, 71800 Nilai, Negeri Sembilan, Malaysia" -"The University of Notthingham, Nottingham, U.K.",52.938636,-1.1951582,"Nottingham NG7 2RD, UK" -"Cognitive Neuroinformatics Group, University of Bremen, Bremen, Germany",53.1059321,8.854983899999999,"Enrique-Schmidt-Straße 5, 28203 Bremen, Germany" -"Utechzone Co. Ltd., New Taipei City, Taiwan 235",24.994446,121.4970294,"Zhonghe District, New Taipei City, Taiwan 235" -"Center for Language Evolution Studies, Faculty of Languages, Nicolaus Copernicus University, Torun, Poland",53.0195187,18.5711994,"Jurija Gagarina 11, 87-100 Toruń, Poland" -"Rajalakshmi Engineering college and Research Scholar, VIT university",13.009575,80.004243,"Rajalakshmi Nagar, Thandalam, Chennai, Tamil Nadu 602105, India" -"McMaster Univ., Hamilton, Ont., Canada",43.2573383,-79.870065,"100 King St W, Hamilton, ON L8P 1A2, Canada" -"Beckman Institute of Advanced Science and Technology, Urbana, USA",40.1157707,-88.2272043,"405 N Mathews Ave, Urbana, IL 61801, USA" -"Olaworks, Inc., Seoul, Republic of Korea",37.566535,126.9779692,"Seoul, South Korea" -"La Salle, Universitat Ramon Llull. Barcelona 08022, Spain",41.4085507,2.1299018,"Carrer de Sant Joan de la Salle, 42, 08022 Barcelona, Spain" -"Beijing Technology and Business University, Beijing, China",39.720361,116.170043,"Fangshan, China, 102400" -"École Normale Supérieure / PSL Research University, Paris, France",48.8422058,2.3451689,"45 Rue d'Ulm, 75005 Paris, France" -"Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain",41.6850158,-0.8874757999999999,"C/ Mariano Esquillor s/n, 50018 Zaragoza, Spain" -"Bilgisayar Bilimleri Bölümü, Bilgi Üniversitesi, İstanbul, Turkey",41.0671816,28.9455079,"Emniyettepe Mahallesi, Kazım Karabekir Cd. No:13 D:2, 34060 Eyüp/İstanbul, Turkey" -"Xi'an University of Science and Technology, Xi'an, China",34.234489,108.962256,"China, Shaanxi Sheng, Xian Shi, Beilin Qu, YanTa IT ShangQuan, 雁塔中路58号" -"Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China",22.586752,113.96878,"China, Guangdong, Shenzhen, Nanshan, 平山一路" -"University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia",45.80112099999999,15.9708409,"Unska ul. 3, 10000, Zagreb, Croatia" -"Informatics and Telematics Institute Centre for Research and Technology Hellas, Greece",40.5667611,22.9980147,"Thermi 570 01, Greece" -"University of Michigan-Dearborn, USA",42.3184088,-83.23320199999999,"4901 Evergreen Rd, Dearborn, MI 48128, USA" -"Institute for Inforcomm Research 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.2988926,103.7873107,"1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" -"Modelling and Digital Science, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa",-25.7566771,28.2803438,"Council for Scientific and Industrial Research, Building 44, Scientia 627-Jr, Pretoria, 0081, South Africa" -"Govt. College of Engineering, Amravati, India",20.957211,77.7567998,"Gcoea, Amravati, Maharashtra 444604, India" -"University of Seoul, Seoul, Korea",37.5838657,127.0587771,"163 Seoulsiripdae-ro, Jeonnong 2(i)-dong, Dongdaemun-gu, Seoul, South Korea" -"Centre for Vision, Speech and Signal Processing, University of Surregy, Guildford GU2 7XH, United Kingdom.",51.2435451,-0.5885743999999999,"388 Stag Hill, Guildford GU2 7XH Stag Hill, Guildford GU2 7XH, UK" -"Département EPH, Telecom SudParis",48.6246883,2.4432511,"Courcouronnes, 9 Rue Charles Fourier, 91000 Évry, France" -"Peking University & Shanghai Jaio Tong University, Beijing, China",39.986913,116.3058739,"5 Yiheyuan Rd, Haidian Qu, Beijing Shi, China, 100080" -"Cairo University, Egypt",30.0227646,31.2073201,1 شارع الجامعة، 12613، Egypt -"Kanazawa University, Ishikawa, Japan",36.5471059,136.7074021,"Kakumamachi, Kanazawa, Ishikawa Prefecture 920-1192, Japan" -"Tianjin University of Technology (TJUT), Tianjin, 300384, China",39.061004,117.142023,"Xiqing, China" -"Telecommunications and Information processing (TELIN), Ghent University, Ghent, Belgium",51.04593029999999,3.7281874,"9000 Ghent, Belgium" -"Wuhan University of Science and Technology, Wuhan, P. R. China, 430081",30.621883,114.370852,"China, Hubei, Wuhan, Qingshan, 和平大道947号" -"MIT Media Lab, Cambridge, MA, USA",42.36035700000001,-71.08726399999999,"75 Amherst St, Cambridge, MA 02139, USA" -"Kalasalingam University, India",9.5747052,77.6798137,"MDR 194, Krishnan Kovil, Tamil Nadu 626126, India" -"Contents Protection and Management Team, ETRI, Deajeon, KOREA",35.2253708,126.8461834,"1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea" -"Oxford, UK",51.7520209,-1.2577263,"Oxford, UK" -"Xi'an Peihua University, Intelligent Science & Information Engineering College, Xi'an, China",34.226061,108.9099956,"5 Baisha Rd, GaoXin ShangQuan, Yanta Qu, Xian Shi, Shaanxi Sheng, China, 710065" -"University of Ulsan, Korea",35.5437411,129.2562843,"93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea" -"IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal",40.27730770000001,-7.509580099999999,"Estr. da Palmatória 1, 6200-161 Covilhã, Portugal" -"Autonomous University of Madrid, Madrid, Spain",40.5466983,-3.6943619,"Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain" -"Beijing Institute of Technology, Beijing, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"Yangzhou University, China",32.399078,119.389893,"Hanjiang, Yangzhou, Jiangsu, China" -"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak, Tapah, Malaysia",4.1775534,101.2194842,"35400 Tapah Road, Perak, Malaysia" -Iran,32.427908,53.688046,Iran -"Philips Research Eindhoven Storage Systems and Applications Eindhoven, Netherlands",51.4117522,5.4586652,"High Tech Campus 34, 5656 AE Eindhoven, Netherlands" -"Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Brazil",-22.9101484,-43.2356117,"1º andar, Bloco A - R. São Francisco Xavier, 524 - sala 1006 - Maracanã, Rio de Janeiro - RJ, 20550-900, Brazil" -"FAST National University of Computer and Emerging Sciences, Peshawar, Pakistan",33.9804652,71.4271827,"Pakistan، Phase 1 Hayatabad, Peshawar, Khyber Pakhtunkhwa, Pakistan" -"Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand",-36.8544426,174.7676104,"31 Symonds St, Auckland, 1010, New Zealand" -"Bocgazici University, Turkey",41.0847571,29.0510399,"Bebek Mh., 34342 Beşiktaş/İstanbul, Turkey" -"Data61, CSIRO, Canberra, Australia",-35.2776999,149.118527,"North Road Australian National University, The Australian National University, Acton ACT 2601, Australia" -"University of Canberra and Australian National University, Canberra, Australia",-35.2776999,149.118527,"Canberra ACT 0200, Australia" -"Laboratory of Electronics (EμE), FSM, Monastir, Tunisia",35.7641955,10.805051,"Monastir, Tunisia" -Delft University of Technology and Netherlands Defence Academy,52.0021256,4.3732982,"Mekelweg 5, 2628 CD Delft, Netherlands" -"University of Chinese Academy Sciences, Beijing, China",39.98177,116.330086,"China, Beijing, Haidian, Zhongguancun South 1st Alley, 中关村南一条" -"Minzu University of China, Beijing 100081, China",39.950878,116.320185,"27 Zhongguancun S St, Haidian Qu, Beijing Shi, China" -"GSI Universidad Polit-écnica de Madrid, Madrid, Spain",40.4486372,-3.7192798,"Calle Ramiro de Maeztu, 7, 28040 Madrid, Spain" -"University of Ulm, Control and Microtechnology, Ulm, 89081, Germany",48.4222305,9.955582,"Helmholtzstraße 16, 89081 Ulm, Germany" -"Alibaba Group, Beijing, China",37.5618656,-122.3251134,"400 S El Camino Real #400, San Mateo, CA 94402, USA" -"Radboud University, Nijmegen, Netherlands",51.81670099999999,5.865272,"Houtlaan 4, 6525 XZ Nijmegen, Netherlands" -"Ghent University - imec, ELIS - IDLab, Pietersnieuwstraat, Ghent",51.0131627,3.7094185,"Technologiepark-Zwijnaarde 122, 9052 Gent, Belgium" -"Henan University, Kaifeng, China",34.808921,114.369752,"Minglun St, Shunhe Huizuqu, Kaifeng Shi, Henan Sheng, China, 475001" -"Centre for Cognition, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands",51.8193166,5.8596925,"Montessorilaan 3, 6525 HR Nijmegen, Netherlands" -"University of Biskra, Biskra, Algeria",34.8455802,5.7481915,"BP 145 RP، بسكرة 07000, Algeria" -"Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kuching, Malaysia",1.4681596,110.4290206,"Universiti Malaysia Sarawak, Sarawak, 94300 Kota Samarahan, Malaysia" -"ModiFace Inc., Toronto, Canada",43.6683241,-79.3904914,"7 St Thomas St #502, Toronto, ON M5S 2B7, Canada" -"Mirada Medical Ltd, Oxford, UK",51.7521989,-1.2636104,"Oxford Centre for Innovation, New Rd, Oxford OX1 1BY, UK" -"Shanghai University of Electric Power, 200090, China",31.274773,121.547575,"1193 Hejian Rd, Yangpu Qu, Shanghai Shi, China, 200093" -"Tianjin Polytechnic University, Tianjin, China",39.06694,117.111382,"Xiqing, China, 300384" -"Hong Kong Baptist University (HKBU), Hong Kong",22.3386388,114.1819316,"Baptist University Rd, Kowloon Tong, Hong Kong" -"IIT Kanpur, Uttar Pradesh, India-208016",26.5123388,80.2329,"Kalyanpur, Kanpur, Uttar Pradesh 208016, India" -"King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia",22.309465,39.104697,"Thuwal 23955, Saudi Arabia" -"Faculty of Engineering, University Putra Malaysia, 43400, Serdang, Selangor, Malaysia",3.0083197,101.7206625,"43400 Serdang, Selangor, Malaysia" -"Pontificia Universidad Católica de Chile, Santiago, Chile",-33.4411279,-70.6407933,"Av Libertador Bernardo O'Higgins 340, Santiago, Región Metropolitana, Chile" -"Nesamony Memorial Christian College, Marthandam - 629165, Tamil Nadu, India",8.3081594,77.2212353,"Road, Marthandam, Tamil Nadu 629165, India" -"Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany",50.6843502,10.9254728,"Ilmenau, Germany" -"China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China",31.2985642,120.5846615,"Gusu, Suzhou, Jiangsu, China, 215000" -"Shahrood University of Technology, Shahrood, Iran",36.3934773,54.9417838,استان سمنان، شاهرود، خیابان دانشگاه، Iran -"University of Jijel, Ouled Aissa, Jijel, Algeria",36.8010981,5.7516569,"Jijel, Algeria" -"College of Software and Communication Engineering, Xiangnan University, Chenzhou, China",25.786049,113.100555,"Suxian, Chenzhou, China" -"Worcester Polytechnic Institute, MA 01609-2280, USA",42.2745754,-71.8062724,"100 Institute Rd, Worcester, MA 01609, USA" -"University of Antwerp, Wilrijk, Belgium",51.2228097,4.4102318,"Prinsstraat 13, 2000 Antwerpen, Belgium" -"Vishwakarma Institute of Technology, Pune",18.464077,73.867619,"666, Upper Indira Nagar, Bibvewadi, Pune, Maharashtra 411037, India" -"College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China",24.43944,118.090169,"394 Siming S Rd, Siming Qu, Xiamen Shi, Fujian Sheng, China, 361005" -"Multimedia Signal Processing Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland",46.5190557,6.5667576,"Route Cantonale, 1015 Lausanne, Switzerland" -"Daimler AG, Research and Development. Ulm, Germany",48.42205269999999,9.941293199999999,"Wilhelm-Runge-Straße 11, 89081 Ulm, Germany" -"Kodak Research Labs, Eastman Kodak Company, Rochester, NY, USA",43.2029181,-77.62933269999999,"1422 Lake Ave, Rochester, NY 14615, USA" -"Kuwait University, Safat, Kuwait",29.3406199,47.9212797,"Jamal Abdul Nasser St, Kuwait" -"Gazi University Ankara, Turkey",39.94202190000001,32.823005,"Emniyet mah, Gazi Üniversitesi Rektörlüğü Teknik okulları, 06560 Yenimahalle/Ankara, Turkey" -"Christ University, Bangalore- 560074, India",12.8630363,77.43787069999999,"Kengeri Campus Mysore Road Kumbalgodu, Kanmanike, Bengaluru, Karnataka 560074, India" -"Federal University of Bahia, Salvador, Bahia, Brazil",-13.0024602,-38.50897519999999,"Av. Adhemar de Barros, s/nº - Ondina, Salvador - BA, 40170-110, Brazil" -"Hakim Sabzevari University, Iran",36.3026319,57.68068459999999,استان خراسان رضوی، سبزوار، شهرک توحید، پردیس دانشگاه حکیم سبزواری، Iran -"University of Tehran, Tehran, Iran",35.7022192,51.39573069999999,"Tehran Province, Tehran, Enghelab Square، Iran" -"Valeo Vision Systems, Ireland",53.5219038,-8.8427322,"IDA Business Park, Dunmore Rd, Galway, Ireland" -"University of Istanbul, Istanbul, Turkey",41.0126037,28.961838,"Beyazıt, 34452 Fatih/İstanbul, Turkey" -"Graphic Era University, Dehradun, India",30.2684303,77.9936541,"566/6, Bell Road, Society Area, Clement Town, Dehradun, Uttarakhand 248002, India" -"Khalifa University of Science Technology & Research, Sharjah, United Arab Emirates",24.4473556,54.3949088,Abu Dhabi - United Arab Emirates -"Microsoft Research Asia, Beijing, 100080, P. R. China",39.979372,116.310315,"Zhongguancun, Haidian, China, 100080" -"Faculty of Engineering, Higher Educational Complex of Saravan, Saravan, Iran, 9951634145",27.3526033,62.3447815,"Saravan, Sistan and Baluchestan Province, Iran" -"Wuhan University of Science and Technology, 947 Heping road, 430081, Wuhan, China",30.621883,114.370852,"China, Hubei, Wuhan, Qingshan, 和平大道947号" -"Nvidia Research, Westford, MA, USA",42.57118759999999,-71.4137369,"2 Technology Park Dr, Westford, MA 01886, USA" -"Signal Network Technology Pty Ltd, Sydney, Australia",-33.8688197,151.2092955,"Sydney NSW, Australia" -"Beijing, People’s Republic of China",39.90419989999999,116.4073963,"Beijing, China" -"Islamic University of Technology, Gazipur, Bangladesh",23.947261,90.3799325,"Board Bazar, Dhaka- Mymensingh Highway, Gazipur 1704, Bangladesh" -"Interuniversity Microelectronics Centre, Heverlee, Belgium",50.86260720000001,4.6958889,"Heverlee, 3001 Leuven, Belgium" -"AAU UMR CNRS 1563, Ecole Centrale de Nantes, France",47.218371,-1.553621,"Nantes, France" -"Tripura University (A Central University), Suryamaninagar, India",23.7608814,91.2668248,"Suryamani Nagar, Bikramnagar, Tripura 799022, India" -"Road Environment Perception Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan",35.1689843,137.0542921,"41番1 Yokomichi, Nagakute, Aichi Prefecture 480-1192, Japan" -"Indian Institute of Technology Delhi, New Delhi, India",28.5429676,77.193806,"Indian Institute of Technology Delhi, Hauz Khas, New Delhi, Delhi 110016, India" -"LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France",45.7833244,4.8781984,"20 Avenue Albert Einstein, 69100 Villeurbanne, France" -"Chia Nan University of Pharmacy & Science, Tainan, R.O.C.",22.9209971,120.2253459,"No. 60號, Section 1, Erren Road, Rende District, Tainan City, Taiwan 71710" -"Neurophysiology and Interventional Neuropsychiatry, University of Tübingen, Tübingen, Germany",48.5294782,9.043773999999999,"Geschwister-Scholl-Platz, 72074 Tübingen, Germany" -"Fuzhou University, Fuzhou, China",26.0818505,119.2865017,"Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001" -"Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC",24.9188443,121.1841093,"No. 19號, Zhongxing Road, Yangmei District, Taoyuan City, Taiwan 326" -"Ghent University, Ghent, Belgium",51.0465619,3.727918099999999,"St. Pietersnieuwstraat 33, 9000 Gent, Belgium" -"SRO Satellite Centre (ISAC), Bengaluru, India",12.9601126,77.6549828,"HAL Old Airport Rd, HAL Airport Area, Kodihalli, Bengaluru, Karnataka 560017, India" -"Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India",22.5203597,75.9207231,"Khandwa Rd, Simrol, Madhya Pradesh 453552, India" -"Dalian Maritime University, Dalian, China",38.870041,121.534141,"1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China" -Miami University,39.377788,-84.5630121,"1601 University Blvd, Hamilton, OH 45011, USA" -"Umm al Qura University, Makkah, Saudi Arabia",21.3298361,39.9488891,طريق الأمير سلطان بن عبد العزيز، Makkah Saudi Arabia -"Bilgisayar Mühendisliği Bölümü, Deniz Harp Okulu, İstanbul, Türkiye",40.8153632,29.270839,"Postane Mahallesi, Rauf Orbay Cad. Deniz Harp Okulu Komutanlığı, 34940 Tuzla/İstanbul, Turkey" -University of Malaga,36.7199506,-4.4160927,"Av. de Cervantes, 2, 29016 Málaga, Spain" -Iran,32.427908,53.688046,Iran -"TuSimple, San Diego, USA",32.8734455,-117.2065636,"9191 Towne Centre Dr STE 600, San Diego, CA 92122, USA" -"University of Essex, Essex, United Kingdom",51.7343313,0.4690888,"Essex, UK" -"Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania",44.4386064,26.0494925,"Splaiul Independenței 313, București 060042, Romania" -"Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania",54.6737777,25.2662225,"Naugarduko g. 41, Vilnius 03227, Lithuania" -"Nara Inst. of Science and Technology, Nara, Japan",34.7321121,135.7328585,"8916番地−5 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan" -"Robotics, Perception and Real-Time Group, University of Zaragoza, Spain",41.6420639,-0.9015065,"Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain" -"JENOPTIK Optical Systems GmbH, Jena, Germany",50.8897795,11.5960245,"Göschwitzer Str. 25, 07745 Jena, Germany" -"Mansoura University, Mansoura, Egypt",31.047335,31.380586,"25 El Gomhouria St, Mansoura Qism 2, Mansoura, Dakahlia Governorate 35516, Egypt" -"NUST Military College of Signals, Islamabad, Pakistan",33.5775066,73.0632468,"Adiala Road, Lalazar, Rawalpindi, Punjab 46000, Pakistan" -"Institut Pascal, UMR 6602 CNRS, Clermont-Ferrand, France",45.7603549,3.1109163,"Campus Universitaire des Cézeaux, 4 Avenue Blaise Pascal, 63178 Aubière, France" -"Indiana University-Purdue University Indianapolis, Indianapolis, USA",39.7738832,-86.1763393,"420 University Blvd, Indianapolis, IN 46202, USA" -"ITK Engineering GmbH, Computer Vision Team, Lollar, Germany",50.64954,8.701319999999999,"Justus-Kilian-Straße 1, 35457 Lollar, Germany" -"Institute for Information Industry, Smart Network & System Institute 7F, No. 133, Sec. 4, Minsheng E. Rd., Taipei 105, Taiwan, R.O.C.",25.0683447,121.4925733,"No. 4, Minsheng East Street, Sanchong District, New Taipei City, Taiwan 241" -"P.T.Lee. C.N.C.E.T, Kanchipuram, Tamilnadu",12.9254004,79.6806699,"SH-58, Kancheepuram Arakonam Thiruthani Road, Oovery, Veliyur Post, Kanchipuram, Tamil Nadu 631502, India" -"Georgia Tech, Atlanta, GA, USA",33.7756178,-84.39628499999999,"North Ave NW, Atlanta, GA 30332, USA" -"Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)",35.705286,128.457102,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333" -"Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -Shanghai Jiaotong University,31.0252201,121.4337784,"China, Shanghai, Minhang, 东川路 邮政编码: 200240" -"Siemens Corporate Technology, Munich, Germany",48.0915928,11.6498297,"Otto-Hahn-Ring 6, 81739 München, Germany" -"Imavis srl, Italy",44.500269,11.430574,"Largo Pederzana, 2, 40055 Villanova di Castenaso (Bo) BO, Italy" -"Tung-Fang Design University, Kaohsiung County, Taiwan",22.8807003,120.2454082,"No. 110號, Dongfang Road, Hunei District, Kaohsiung City, Taiwan 82941" -"University of Beira Interior, Covilhã, Portugal",40.277859,-7.508983,"Universidade da Beira Interior, R. Marquês de Ávila e Bolama, 6201-001 Covilhã, Portugal" -"Nanjing Tech University, Nanjing, China",32.076734,118.778139,"China, Jiangsu Sheng, Nanjing Shi, Gulou Qu, 新模范马路5号 邮政编码: 210028" -"Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany",48.263011,11.666857,"Boltzmannstraße 3, 85748 Garching bei München, Germany" -"Ghent University, Zwijnaarde, Belgium",51.0465619,3.727918099999999,"St. Pietersnieuwstraat 33, 9000 Gent, Belgium" -"Indonesian Institute of The Arts, Yogyakarta, Indonesia",-7.811984000000001,110.3716317,"Gang Hiperkes 188 A-B Jalan Ireda, Dipowinatan Keparakan, Keparakan, Mergangsan, Kota Yogyakarta, Daerah Istimewa Yogyakarta 55152, Indonesia" -"Division of Psychology and Language Sciences, University College of London, London, UK",51.5238564,-0.1288533,"26 Bedford Way, Bloomsbury, London WC1H 0AP, UK" -"Institute of Cartography and Geoinformatics, Leibniz Universität, Hannover, Germany",52.3829641,9.7196989,"Welfengarten 1, 30167 Hannover, Germany" -"C.d.L. Scienze dell'Informazione - Università di Bologna, via Sacchi 3, 47023 Cesena, ITALY",44.1397798,12.2431899,"Via Scipione Sacchi, 3, 47521 Cesena FC, Italy" -"University of A Coruna, Corunna, Spain",43.369464,-8.4199065,"Rúa Almirante Lángara, 15011 A Coruña, Spain" -"Université Paris-Sud, 91405, Orsay, FRANCE",48.6976847,2.1764839,"15 Rue Georges Clemenceau, 91400 Orsay, France" -"Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK",53.7924523,-1.7656617,"Richmond Rd, Bradford BD7 1DP, UK" -"Università degli Studi di Napoli “Federico II”, Italy",40.845492,14.2578058,"Corso Umberto I, 40, 80138 Napoli NA, Italy" -"Jungwon University, Chungcheongbuk-do, Republic of Korea",36.819585,127.7992722,"85 Munmu-ro, Goesan-eup, Goesan, Chungcheongbuk-do, South Korea" -"Indian Institute of Information Technology and Management, Madhya Pradesh, India",26.2494532,78.1739833,"Morena Link Rd, IIITM Campus, Gwalior, Madhya Pradesh 474015, India" -"WILLOW project-team, Laboratoire d'Informatique de l'École Normale Supérieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France",48.8422058,2.3451689,"45 Rue d'Ulm, 75005 Paris, France" -Disney Research Zurich,47.3804769,8.5429964,"Stampfenbachstrasse 48, 8006 Zürich, Switzerland" -"Kim Il Sung University, Pyongyang, Korea",39.0581367,125.7682553,"Pyongyang, North Korea" -"Disney Research, Pittsburgh, USA",40.4439789,-79.9464634,"4720 Forbes Ave, Pittsburgh, PA 15213, USA" -"Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China",22.592813,113.974264,"2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055" -"Council of Scientific and Industrial Research (CSIR), New Delhi, India",28.618146,77.211917,"Anusandhan Bhawan, 2 Rafi Marg, New Delhi, Delhi 110001, India" -"Centre de développement des Technologies Avancées. Cité 20 Aout, Baba Hassen, 16303, Alger, Algérie",36.689487,2.981877,"haouch oukil، Cité 20 aout 1956 Baba Hassen 5 juillet 1962، Alger 16303, Algeria" -"Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, MALAYSIA",3.0713472,101.5002144,"40450 Shah Alam, Selangor, Malaysia" -"Kaohsiung, Taiwan.China",22.6272784,120.3014353,"Kaohsiung City, Taiwan" -"Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir",39.8155783,30.536602,"Gazipaşa Mahallesi, 26555 Tepebaşı/Eskişehir, Turkey" -"Institute of Microelectronic Systems, Leibniz Universität Hannover, Appelstr. 4, 30167 Hannover, Germany",52.389208,9.714997,"Appelstraße 4, 30167 Hannover, Germany" -"PLA University of Science and Technology (PLAUST), Nanjing, China",32.035225,118.855317,"China, Jiangsu, Nanjing, Xuanwu, 中山门外大街" -"LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France",50.323558,3.5125827,"Voirie Communale Université Val Mont Houy, 59300 Famars, France" -"Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China",22.543096,114.057865,"Shenzhen, Guangdong, China" -"University of Guelph, Guelph, Ontario, Canada",43.52937319999999,-80.22525019999999,"University of Guelph, Guelph, ON N1G 1Y4, Canada" -"INRIA - Willow Project, Laboratoire d´Informatique, École Normale Supérieure, France",48.66544709999999,6.1570239,"Institut National de Recherche en Informatique et en Automatique, 54600 Villers-lès-Nancy, France" -Università Politecnica delle Marche (Italy),43.6173812,13.5139647,"Via Lodovico Menicucci, 6, 60121 Ancona AN, Italy" -"Ecole Centrale de Lyon, LIRIS, Lyon, France",45.7835966,4.7678948,"E6, Ecole Centrale de Lyon, 36 Avenue Guy de Collongue, 69134 Écully, France" -Hewlett Packard Labs,37.3860784,-121.9877807,"560 Oakmead Pkwy, Sunnyvale, CA 94085, USA" -"Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Liège, Liège, Belgium",50.5859669,5.560119299999999,"Grande Traverse 10, 4000 Liège, Belgium" -"Aveiro, Portugal",40.6405055,-8.6537539,"Aveiro, Portugal" -"Instituto Superior Tecnico , Lisbon, Portugal",38.7368192,-9.138705,"Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal" -"R. J. I. T. Takenpur, Gwalior-475005",26.0209899,78.2624948,"Border Security Force Academy Tekanpur, Gwalior, Madhya Pradesh 475005, India" -"University of Electro-Communications 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan",35.6556498,139.5442039,"1 Chome-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan" -"PDPM-IIITDM, Jabalpur",23.1760482,80.0265179,"Airport Rd, PDPM IIITDM Jabalpur Campus, Khamaria, Jabalpur, Madhya Pradesh 482005, India" -"Biomedical Instrumentation (V-02), CSIR-Central Scientific Instruments Organisation (CSIO)|, Chandigarh, India",30.7126663,76.7834577,"Sector 30-C, Sector 30, Chandigarh, 160030, India" -"Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye",56.8191176,13.9106332,"Hansatorpsvägen 8, 341 32 Ljungby, Sweden" -Waseda University and USC Institute for Creative Technologies,33.9832526,-118.40417,"12015 E Waterfront Dr, Los Angeles, CA 90094, USA" -"Norwegian University of Science and Technology, Trondheim, Norway",63.41949899999999,10.4020771,"Høgskoleringen 1, 7491 Trondheim, Norway" -"Faculty of Informatics, Technical University of Munich, Munich, Germany",48.262617,11.6682764,"Boltzmannstraße 3, 85748 Garching bei München, Germany" -"Bogaziçi University, Istanbul, Turkey",41.0847571,29.0510399,"Bebek Mh., 34342 Beşiktaş/İstanbul, Turkey" -"Intelligent Systems Research Centre, University of Ulster, Londonderry, UK",55.0048464,-7.321911699999999,"MS, University of Ulster, Magee Campus, Derry BT48 7JL, UK" -"Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia",2.2213964,102.4531155,"Jalan Lembah Kesang 1/1-2, Kampung Seri Mendapat, 77300 Merlimau, Melaka, Malaysia" -"HAVELSAN A.Ş., Ankara, Türkiye",39.913434,32.776325,"NAMIK KEMAL MAHALLESİ, 06000 ÇANKAYA/Ankara, Turkey" -"SATIE, Université Paris-Sud, Université Paris-Saclay, France",48.6976847,2.1764839,"15 Rue Georges Clemenceau, 91400 Orsay, France" -"Image Processing and Interpretation, University of Gent",51.0465619,3.727918099999999,"St. Pietersnieuwstraat 33, 9000 Gent, Belgium" -"EECS, UC Berkeley",37.875213,-122.2575147,"2626 Hearst Ave, Berkeley, CA 94720, USA" -"TecNM Instituto Tecnológico de Ensenada, Ensenada, Mexico",31.8059587,-116.5901977,"Boulevard Tecnológico No. 150, Ex-ejido Chapultepec, 22780 Ensenada, B.C., Mexico" -"Augsburg University, Augsburg, Germany",48.3328244,10.8965616,"Universitätsstraße 2, 86159 Augsburg, Germany" -"NTT Service Evolution Laboratories, Kanagawa, Japan",35.4475073,139.6423446,"Kanagawa Prefecture, Japan" -"Visual Information Technologies, Jacobs University Bremen, Bremen, Germany",53.16771689999999,8.6542654,"Campus Ring 1, 28759 Bremen, Germany" -"Progeny Systems Corporation, 9500 Innovation Drive, Manassas VA 20110, USA",38.7499572,-77.5238694,"9500 Innovation Dr, Manassas, VA 20110, USA" -"Beijing University of Aeronautics and Astronautics, Beijing, China",39.984492,116.348175,"Xiaoyuan N Rd, WuDaoKou, Haidian Qu, Beijing Shi, China" -"The University of Haifa, Haifa, Israel",32.7614296,35.0195184,"Abba Khoushy Ave 199, Haifa, 3498838, Israel" -"IRISA, Université de Bretagne Sud, Vannes, France",47.64509839999999,-2.7461995,"Rue André Lwoff, 56000 Vannes, France" -"University of Zaragoza, Escuela Universitaria Politécnica de Teruel, Teruel, Spain",40.3518013,-1.1091666,"Calle Atarazana, 2, 44003 Teruel, Spain" -"Vision, Image Processing and Sound Laboratory, University of Verona, Verona, Italy",45.43739799999999,11.003376,"Via S. Francesco, 22, 37129 Verona VR, Italy" -"TAIST Tokyo Tech, ICTES Program, Sirindhorn International Institute of Technology, Thammasat University, Thailand",14.068891,100.6074577,"Phahonyothin Rd, Tambon Khlong Nung, Amphoe Khlong Luang, Chang Wat Pathum Thani 12120, Thailand" -"Computer and Information System, The University of Aizu, Aizuwakamatsu, Japan",37.52379670000001,139.9387328,"Japan, 〒965-8580 Fukushima Prefecture, Aizuwakamatsu, 一箕町Kamiiawase−90 大字鶴賀字" -"Universiti Sains Malaysia, Pulau Pinang, Malaysia",5.3559337,100.3025177,"11800 Gelugor, Penang, Malaysia" -"Boeing Company, Huntington Beach, CA",33.7477922,-118.0374228,"5301 Bolsa Ave, Huntington Beach, CA 92647, USA" -"College of Information and Control Engineering, China University of Petroleum (East China), Dongying 257061, China",37.4689454,118.5445999,"Chenguang E Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000" -"Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore",1.2988926,103.7873107,"1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" -"Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France",45.7280307,4.825942899999999,"7 Passage du Vercors, 69007 Lyon, France" -"Suleyman Demirel University, Almaty, Kazakhstan",43.20824349999999,76.6694272,"Almaty, Kazakhstan" -"Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation",50.5804495,36.5967332,"Ulitsa Kostyukova, 46, Belgorod, Belgorodskaya oblast', Russia, 308012" -"The University of Auckland, Auckland, New Zealand",-36.8523378,174.7691073,"Auckland 1010, New Zealand" -"Semnan University Semnan, Iran",35.6041777,53.4351597,"Semnan Province, Iran" -"ONERA - The French Aerospace Lab, Palaiseau, France",48.7146723,2.2327094,"8 Chemin de la Hunière, 91120 Palaiseau, France" -"Mainz University, Germany",49.9926403,8.241555199999999,"Saarstraße 21, 55122 Mainz, Germany" -"University of Paris 8 - Vincennes, Saint-Denis",48.9449133,2.3635056,"2 Rue de la Liberté, 93526 Saint-Denis, France" -Pontificia Universidad Cato´lica de Chile,-33.4411279,-70.6407933,"Av Libertador Bernardo O'Higgins 340, Santiago, Región Metropolitana, Chile" -"REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, College of AlGhat, Majmaah university, Riyadh, KSA",34.739822,10.7600196,"Sfax, Tunisia" -"College of Engineering, Pune, India",18.5292893,73.8565481,"Wellesley Rd, Shivajinagar, Pune, Maharashtra 411005, India" -"University of Udine, Italy",46.0810723,13.2119474,"Università degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy" -"Houston Univ., TX, USA",29.736724,-95.3931825,"3800 Montrose Blvd, Houston, TX 77006, USA" -"Institute for Infocomm Research, Singapore",1.2988926,103.7873107,"1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" -"Denso Corporation, Kariya, Japan",34.9966954,137.006405,"Japan, 〒448-8661 Aichi Prefecture, Kariya, 刈谷市昭和町1-1" -"Hainan University, China",20.06199,110.32874,"China, 第一食堂2楼" -"Incheon National University, Incheon, South Korea",37.3750548,126.6328998,"119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea" -"Christ University, Bengaluru, India",12.9344074,77.6060761,"Hosur Main Road, Bhavani Nagar, Suddagunte Palya, Bengaluru, Karnataka 560029, India" -"Harcourt Butler Technological Institute, Kanpur, INDIA",26.4934515,80.30742359999999,"HBTU East Campus, Nawabganj, Kanpur, Uttar Pradesh 208002, India" -"Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia",2.9996235,101.7103407,"Faculty of Computer Science and Information Technology, University Putra Malaysia, Persiaran Universiti 1, Selangor, 43400 Serdang, Malaysia" -"Adobe Systems, Inc.",37.3309307,-121.8940485,"345 Park Ave, San Jose, CA 95110, USA" -"Shandong Agricultural University, College of Information Science and Engineering, China",36.19393760000001,117.1193702,"61 Daizong St, Taishan Qu, Taian Shi, Shandong Sheng, China, 271000" -"Yahoo, Sunnyvale, CA, USA",37.4171573,-122.0250048,"701 1st Ave, Sunnyvale, CA 94089, USA" -"Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Technical University of Madrid, Spain",40.3898091,-3.625724,"CITSEM Park, Edificio La Arboleda. Campus Sur UPM. Ctra Valencia, Km 7. 28031 Madrid, 28031 Madrid, Spain" -"Information Security Group, City University London, EC1V 0HB London, U.K",51.5278249,-0.1025445,"Northampton Square, Clerkenwell, London EC1V 0HB, UK" -"University of Eastern Finland, Joensuu, Finland",62.605396,29.740537,"Yliopistokatu 7, 80130 Joensuu, Finland" -"Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, MALAYSIA",3.073356,101.4977189,"Jalan Ilmu 1/1, Universiti Teknologi Mara, 40450 Shah Alam, Selangor, Malaysia" -"Pennsylvania State University, University Park, 16802, USA",40.8084075,-77.8638835,"PENN ST UNIV, PA 16802, USA" -"Nanyang Technological University 639798, Singapore",1.344233,103.680142,Singapore 639798 -"Shenzhen Sunwin Intelligent Co., Ltd, China",35.86166,104.195397,China -"National Inst. of Stand. & Technol., Gaithersburg, MD, USA",39.14004,-77.21850599999999,"100 Bureau Dr, Gaithersburg, MD 20899, USA" -"Elektrik-Elektronik Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye",39.94202190000001,32.823005,"Emniyet mah, Gazi Üniversitesi Rektörlüğü Teknik okulları, 06560 Yenimahalle/Ankara, Turkey" -"Kerman, Iran",30.2839379,57.0833628,"Kerman, Kerman Province, Iran" -"Emory University, Atlanta, USA",33.7925195,-84.32399889999999,"201 Dowman Dr, Atlanta, GA 30322, USA" -"University of California, San Francisco, San Francisco, USA",37.7627655,-122.457753,"505 Parnassus Ave, San Francisco, CA 94143, USA" -"M.S. Ramaiah Institute of Technology, Bangalore, India",13.0304619,77.5646862,"MSRIT Post, M S Ramaiah Nagar, MSR Nagar, Bengaluru, Karnataka 560054, India" -"Intel Labs China, Intel Corporation, Beijing, 100086, China",39.966244,116.3270039,"Haidian, Beijing, China, 100086" -"Sathyabama University, Tamilnadu, India",12.8730574,80.22203449999999,"Old Mahabalipuram Rd, Kamaraj Nagar, Jeppiaar Nagar, Chennai, Tamil Nadu 600119, India" -"Università della Campania, “Luigi Vanvitelli”, and IIASS, Caserta, Italy",41.0675837,14.3312805,"Viale Abramo Lincoln, 5, 81100 Caserta CE, Italy" -"Chalearn, Berkeley, California, USA",37.8715926,-122.272747,"Berkeley, CA, USA" -"Huawei Technologies, Beijing, China",39.905838,116.375516,"China, Beijing, Xicheng, W Chang'an Ave, 西长安街甲88号北京首都时代广场11层" -"Technicolor, 975 Avenue des Champs Blancs, Cesson-Sevigne, 35576, France",48.1342524,-1.620837,"975 Avenue des Champs Blancs, 35576 Cesson-Sévigné, France" -"University of Mohamed Khider, Biskra, Algeria",34.8455802,5.7481915,"BP 145 RP، بسكرة 07000, Algeria" -"University at Albany, State University of New York, Albany, USA",42.6480516,-73.74957599999999,"353 Broadway, Albany, NY 12207, USA" -"Aristotle Univ. of Thessaloniki, Greece",40.6308283,22.9592224,"Thessaloniki 541 24, Greece" -"University of Alcalá (UAH), Spain",40.4824722,-3.3628674,"Plaza de San Diego, s/n, 28801 Alcalá de Henares, Madrid, Spain" -"Tsinghua National Laboratory for Information Science and Technology, Tsinghua Uinversity, Beijing 100084, China",39.9967458,116.3322946,"Shuangqing Rd, Haidian Qu, Beijing Shi, China, 100083" -"Istituto Nazionale di Ottica - CNR, Italy",43.7491036,11.2520586,"Largo Enrico Fermi, 6, 50125 Firenze FI, Italy" -"KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium",50.86204180000001,4.6858954,"Kasteelpark Arenberg 10, 3001 Leuven, Belgium" -"Erciyes University, Engineering Faculty, 38039 Kayseri, Turkey",38.7080471,35.5242384,"Köşk Mahallesi, Talas Yolu, 38030 Melikgazi/Kayseri, Turkey" -"C-Core, St. John's, Nfld., Canada",47.575633,-52.7351628,"C-Core, St. John's, NL A1B 3R5, Canada" -"Alcatel-Lucent Bell Labs, Centre de Villarceaux, Nozay, France",48.66733319999999,2.2375591,"7 Route de Villejust, 91620 Nozay, France" -"Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan",25.0411727,121.6146518,"115, Taiwan, Taipei City, Nangang District, 研究院路二段128號" -"Yancheng Institute of Technology, Yancheng, China",33.384519,120.202809,"Tiejun Rd, Tinghu Qu, Yancheng Shi, Jiangsu Sheng, China" -"Sogang University, Seoul, Republic of Korea",37.5509442,126.9410023,"35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea" -"Université de Lyon, CNRS, INSA-Lyon, LIRIS, France",45.7835966,4.7678948,"40 Avenue Guy de Collongue, 69130 Écully, France" -"University of Louisiana at Lafayette, Lafayette, LA",30.2114404,-92.0204121,"104 East University Avenue, Lafayette, LA 70504, USA" -"Nokia Research Center, Beijing, China",39.9122939,116.3741879,"China, Beijing Shi, Xicheng Qu, XiDan, Xidan N St, 118号西单商场2楼 邮政编码: 100031" -"PA, 15213, USA",40.4379259,-79.9556424,"Pittsburgh, PA 15213, USA" -"P.A College Of Enginnering And Technology, Coimbatore, India",10.6795273,77.0337614,"SH 19, Puliyampatti, Pollachi, Tamil Nadu 642002, India" -"Dhofar University, Oman",17.0896277,54.1458476,"Salalah, Oman" -"Federal University of Campina Grande, Paraiba, Brazil",-7.2171368,-35.9097543,"R. Aprígio Veloso, 882 - Universitário, Campina Grande - PB, 58429-900, Brazil" -"The Library of Wuhan University of Technology, Wuhan, 430070, P. R. China",30.604858,114.357766,"Youyi Ave, Wuchang Qu, Wuhan Shi, Hubei Sheng, China" -"Univeristy of Udine, Udine, Italy",46.0810723,13.2119474,"Università degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy" -"Agency for Science, Technology & Research, Institute for Infocomm Research, Singapore",1.2996113,103.7877311,"1 Fusionopolis Way, #20-10 Connexis, North Tower, Singapore 138632" -"Technische Universität Berlin, Berlin, Germany",52.5125322,13.3269446,"Straße des 17. Juni 135, 10623 Berlin, Germany" -"Institute of Engineering and Technology, Lucknow, India",26.9143243,80.9410114,"Sitapur Rd, Sector F, Jankipuram, Lucknow, Uttar Pradesh 226021, India" -"Aix-Marseille Université, Marseille, France",43.29362099999999,5.358066,"Jardin du Pharo, 58 Boulevard Charles Livon, 13007 Marseille, France" -"University of Maastricht, Maastricht, The Netherlands",50.8471422,5.686401699999999,"Minderbroedersberg 4-6, 6211 LK Maastricht, Netherlands" -11,37.0366109,-95.6366702,"1308 W 8th St, Coffeyville, KS 67337, USA" -"Laboratory LAROSERI, Faculty of Sciences, University of Chouaib Doukkali, El Jadida - Morocco",33.2272733,-8.488019399999999,"Avenue des Facultés, El Jadida 24000, Morocco" -"European University Cyprus, Nicosia, Cyprus",35.1602139,33.3389944,"Diogenis Str 6 Nicosia CY, 2404, Cyprus" -"Southwest Forestry University, Kunming, People’s Republic of China",25.063993,102.754576,"Bohai Rd, Panlong Qu, Kunming Shi, Yunnan Sheng, China, 650000" -"Faculty of Telecommunications, TU-Sofia",42.6560853,23.3476523,"ulitsa ""Akademik Stefan Mladenov"" 1, 1700 Studentski Kompleks, Sofia, Bulgaria" -MIT College of Engineering,42.3583855,-71.09238979999999,"77 Massachusetts Ave, Cambridge, MA 02139, USA" -"Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China",31.855625,117.27557,"327 Jinzhai Rd, Luyang Qu, Hefei Shi, Anhui Sheng, China, 230000" -"Sogang University, Seoul 04107, Korea",37.5509442,126.9410023,"35 Baekbeom-ro, Sinsu-dong, Mapo-gu, Seoul, South Korea" -"Paris-Sud,Université Paris-Saclay, Orsay, France",48.6976847,2.1764839,"15 Rue Georges Clemenceau, 91400 Orsay, France" -"Sichuan Fine Arts Institute, Chongqing, China",29.4878707,106.5426937,"Huangjueping Main St, HuangJuePing, Jiulongpo Qu, Chongqing Shi, China, 400060" -"Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India",20.7356305,78.6654497,"Sevagram, Wardha, Maharashtra 442102, India" -"University of Science and Technology Beijing, China",39.989458,116.356945,"30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083" -"Shandong Normal University, Jinan, China",36.652703,117.042083,"88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014" -"University of Applied Sciences Jena, Jena, Germany",50.91829,11.56868,"Ernst-Abbe-Hochschule Jena University of Applied Sciences, Carl-Zeiß-Promenade 2, 07745 Jena, Germany" -"POSTECH, Pohang, 790-784, Korea",36.0138857,129.3231836,"77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea" -"Saga University, Saga, Japan",33.2420542,130.2915283,"Japan, 〒840-8502 佐賀県佐賀市本庄町1" -"Pusan National University, Pusan, Korea",35.2331576,129.07951,"2 Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan, South Korea" -"Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia",21.4960752,39.245125,"Jeddah 21589, Saudi Arabia" -"University of Ontario Institute of Technology, Simcoe St N, Canada",43.9458718,-78.8967375,"2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada" -"University of California, Santa Barbara",34.4139629,-119.848947,"Santa Barbara, CA 93106, USA" -"Beijing Key Lab of Intelligent Information Technology, Beijing Institute of Technology, Beijing 100081, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"Center of Research and Development, SenseNets Corporation, Shenzhen, China",22.543096,114.057865,"Shenzhen, Guangdong, China" -"INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France",43.6158131,7.068379999999999,"2004 Route des Lucioles, 06902 Valbonne, France" -"National research base of intelligent manufaturing service, Chongqing, China",29.4315861,106.912251,"Chongqing, China" -"Chinese University of Hong Kong, China",22.4162632,114.2109318,"Hong Kong, 馬料水池旁路" -"POSTECH, Pohang, South Korea, 37673",36.0138857,129.3231836,"77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea" -"Shandong, 250100, China",36.70194499999999,117.0810409,"Licheng, Jinan, Shandong, China, 250100" -"LIAMA, French National Institute for Research in Computer Science and Control, Paris, France",48.66544709999999,6.1570239,"Institut National de Recherche en Informatique et en Automatique, 54600 Villers-lès-Nancy, France" -"Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain",41.406498,2.1945432,"Rambla del Poblenou, 156, 08018 Barcelona, Spain" -"Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613. jgwang@i2r.a-star.edu.sg",1.2924684,103.7756614,"21 Heng Mui Keng Terrace, Icube Building, Singapore 119613" -"LAMIH Université de Valenciennes, Paris, France",50.323558,3.5125827,"Voirie Communale Université Val Mont Houy, 59300 Famars, France" -"Leibniz Universität Hannover, Germany",52.3829641,9.7196989,"Welfengarten 1, 30167 Hannover, Germany" -"MIT Pune, India",18.5183671,73.8147226,"Survey No. 124, MIT College Campus, Paud Rd, Kothrud, Pune, Maharashtra 411038, India" -India,20.593684,78.96288,India -"Harbin Institute of Technology & Tsinghua University, Harbin, China",45.7470436,126.6334306,"92 Xidazhi St, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150006" -"Informatics & Media, University of Bradford, Bradford City, UK",53.7924523,-1.7656617,"Richmond Rd, Bradford BD7 1DP, UK" -"Honda Research Institute Europe, Offenbach, Germany",50.0847249,8.8406437,"Carl-Legien-Straße 30, 63073 Offenbach am Main, Germany" -"Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy",44.4056499,8.946256,"Genoa, Metropolitan City of Genoa, Italy" -"Technical University of Munich, Garching, Germany",48.2692152,11.678462,"Am Coulombwall 3, 85748 Garching bei München, Germany" -"University of California, Los Angeles",34.068921,-118.4451811,"Los Angeles, CA 90095, USA" -"National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.",24.123552,120.675326,"No. 145號, Xingda Road, South District, Taichung City, Taiwan 402" -"University of Southern Mississippi, Hattiesburg, Mississippi 39406",31.32884159999999,-89.3315894,"Hattiesburg, MS 39406, USA" -"Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey",35.220923,33.416627,"Uluslarararası Kıbrıs Üniversitesi Kampüsü, Haspolat" -"CNR ISM-Institute of the Structure of Matter, Roma, Italy",41.9027835,12.4963655,"Rome, Metropolitan City of Rome, Italy" -"Mary Matha College of Engineering & Technology, Paliyodu, Neyattrinkara, Trivandrum District, Kerala, India",8.446629999999999,77.15393279999999,"Karikkarathala Jn., Paliyode, Dalumugham P.O., Paliyode Chempoor Rd, Kerala 695125, India" -"Visualization and Perception Lab, Chennai, India",12.9890989,80.2288467,"CSB, Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India" -"Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China",38.865906,121.529012,"China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, 海校街" -"Technische Universität München, 85748 Garching bei München, Germany",48.2692152,11.678462,"Am Coulombwall 3, 85748 Garching bei München, Germany" -"SafranTech, Safran, Magny-les-Hameaux, France",48.743277,2.0863118,"Rue des jeunes Bois, 78117 Châteaufort, France" -"College of Graduate Studies, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia",2.9787375,101.7348466,"Jalan Ikram-Uniten, Institut Latihan Sultan Ahmad Shah, 43000 Kajang, Selangor, Malaysia" -"Polytechnique Montréal, Montréal, QC, Canada",45.50438399999999,-73.6128829,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada" -"Lockheed Martin Corporation, Orlando, FL, USA",28.4447813,-81.45927549999999,"5600 Sand Lake Rd, Orlando, FL 32819, USA" -"Computer Vision and Pattern Recognition Laboratory, Keimyung University, Daegu, South Korea",35.86941650000001,128.5829852,"56 Dalseong-ro, Seongnae 2(i)-dong, Jung-gu, Daegu, South Korea" -"New York, NY 10029",40.79164069999999,-73.9447994,"New York, NY 10029, USA" -"University of Cagliari, Italy",39.21736569999999,9.1149218,"Via Università, 40, 09124 Cagliari CA, Italy" -"NEC Labs, Cupertino, CA",37.3239177,-122.0129693,"10080 N Wolfe Rd # Sw3350, Cupertino, CA 95014, USA" -"Computer Aided Medical Procedures, Technische Universitaet Muenchen, Munich, Germany",48.263011,11.666857,"Boltzmannstraße 3, 85748 Garching bei München, Germany" -"Prime University, Dhaka, Bangladesh",23.7906572,90.34819089999999,"114, 116 Mazar Rd, Dhaka 1216, Bangladesh" -"LIRIS UMR 5205, Ecole Centrale de Lyon, Lyon, France",45.7835966,4.7678948,"E6, Ecole Centrale de Lyon, 36 Avenue Guy de Collongue, 69134 Écully, France" -"College of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China",28.6785,116.031212,"Nanchang, China" -Cheng Shiu University China,22.650984,120.3489274,"No. 840, Chengqing Road, Niaosong District, Kaohsiung City, Taiwan 833" -"NJ, USA",40.0583238,-74.4056612,"New Jersey, USA" -"University ""Politehnica"" Bucharest Bucharest, Romania",44.4386064,26.0494925,"Splaiul Independenței 313, București 060042, Romania" -"Jinling Institute of Technology, Nanjing, China",32.025815,118.793999,"Qinhuai, Nanjing, China" -"Faculty of Computer Science, Technical University, Cluj-Napoca, Romania",46.7723581,23.5852075,"Strada George Barițiu 26-28, Cluj-Napoca 400027, Romania" -"SIANI - Universidad de Las Palmas de Gran Canaria, Spain",28.0804491,-15.4525934,"35017 Las Palmas de Gran Canaria, Las Palmas, Spain" -"College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China",30.274084,120.15507,"Hangzhou, Zhejiang, China" -"orwegian Computing Center, P.O. Box 114 Blindern, NO-0314, OSLO, Norway",59.94359970000001,10.7172141,"Gaustadalléen 23A, 0373 Oslo, Norway" -"Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan",34.0026514,71.4858934,"Warsak Dam Rd, Rahat Abad, Peshāwar, Peshawar, Khyber Pakhtunkhwa, Pakistan" -Korea,35.907757,127.766922,South Korea -"Sejong University, Gwangjin-gu, Seoul, Korea",37.5502596,127.073139,"209 Neungdong-ro, Gunja-dong, Gwangjin-gu, Seoul, South Korea" -"TCTS Lab, Faculté Polytechnique de Mons, Belgium",50.4516856,3.959136599999999,"Boulevard Dolez 31, 7000 Mons, Belgium" -"Institute for Autonomous Systems Technology(TAS), University of the Bundeswehr Munich, 85577 Neubiberg, Germany",48.08029639999999,11.6382008,"Werner-Heisenberg-Weg 39, 85579 Neubiberg, Germany" -"CVR College of Engineering, Hyderabad",17.1964133,78.59725089999999,"Vastunagar, Mangalpalli (V), Ibrahimpatnam, M), Rangareddy (D, Pocharam, Telangana, India" -"Beijing Laboratory of Intelligent Information Technology, Beijing Institute of Technology, Beijing, China",39.9924551,116.3499005,"Chengfu Rd, WuDaoKou, Haidian Qu, Beijing Shi, China, 100083" -"General Design Institute, Zhejiang Sci-Tech University, Hangzhou, China",30.274084,120.15507,"Hangzhou, Zhejiang, China" -"Dailian University of Technology, Dalian, China",38.880381,121.529021,"China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, 凌工路2号 邮政编码: 116023" -"King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia",24.716945,46.643329,"King Abdullah Rd, Ar Raid، Riyadh 12354, Saudi Arabia" -"Samsung Electronics, Korea",39.9146977,-105.10759,"12101 Airport Way, Broomfield, CO 80021, USA" -"Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea",37.59842200000001,127.043023,"South Korea, Seoul, Seongbuk-gu, Wolgok 2(i)-dong, 화랑로 14길 5" -Staqu Technologies,28.481275,77.10044669999999,"3rd floor, Mehrauli-Gurgaon Road, Sikanderpur, Sector 26, Gurugram, Haryana 122002, India" -"Vision and Pattern Recognition Systems (VisPRS) Research Group Muhammad Ali Jinnah University, Islamabad, Pakistan",33.6844202,73.04788479999999,"Islamabad, Islamabad Capital Territory, Pakistan" -"Jiujiang University, Jiujiang, China",29.720049,115.998825,"17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000" -École de technologie superieure,45.494546,-73.562246,"1100 Rue Notre-Dame Ouest, Montréal, QC H3C 1K3, Canada" -"Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia",-33.8840504,151.1992254,"Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia" -"University of Oxford and Mirada Medical Ltd., Oxford, UK",51.7548164,-1.2543668,"Oxford OX1 2JD, UK" -"LITIV Lab., Polytechnique Montreal",45.50438399999999,-73.6128829,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada" -"Curtin University GPO Box U1987, Perth, WA 6845",-32.0061951,115.8944182,"Kent St, Bentley WA 6102, Australia" -"New Mexico State University, Las Cruces, NM 88003",32.2787745,-106.7479059,"1780 E University Ave, Las Cruces, NM 88003, USA" -"Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France",49.3849757,1.0683257,"685 Avenue de l'Université, 76800 Saint-Étienne-du-Rouvray, France" -"State Grid Zhejiang Electric Power Research Institute, Hangzhou, China",30.274084,120.15507,"Hangzhou, Zhejiang, China" -"Faculty of Mechanical Engineering, University of Campinas. Rua Mendeleyev, 200 - CEP 13083-860 Cidade Universitária Zeferino Vaz - Campinas - SP",-22.8195706,-47.0659245,"R. Mendeleyev, 200 - Cidade Universitária, Campinas - SP, 13083-860, Brazil" -"ONERA - The French Aerospace Lab, F-91761 Palaiseau, France",48.7146723,2.2327094,"8 Chemin de la Hunière, 91120 Palaiseau, France" -"Shanghai Jiaotong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China",31.0252201,121.4337784,"China, Shanghai, Minhang, 东川路 邮政编码: 200240" -"Northumbria Univeristy, Newcastle upon Tyne, UK",54.9767623,-1.6074983,"Sutherland Building, 2 Ellison Pl, Newcastle upon Tyne NE1 8ST, UK" -"Robótica y Manufactura Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ramos Arizpe, Mexico",25.5633103,-100.9389281,"Industrial, Zona Industrial, 25900 Ramos Arizpe, Coah., Mexico" -"Computer Science and Engineering, Easwari Engineering College, Chennai, India",13.0331351,80.17824619999999,"162, Bharathi Salai, Ramapuram, Ramapuram, Chennai, Tamil Nadu 600089, India" -"Pusan National University, Busan, Republic of Korea",35.2331576,129.07951,"2 Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan, South Korea" -"Jiangsu University of Technology, Changzhou, China",31.746579,119.918595,"China, Jiangsu, Changzhou, Wujin, Yunhe N Rd, 中吴大道1801号" -"Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France",45.7838596,4.7691899,"36 Avenue Guy de Collongue, 69134 Écully, France" -"SITI Laboratory, University of Tunis El Manar, Tunis, Tunisia",36.82930899999999,10.146268,"Université de Tunis El Manar, Campus Universitaire Farhat Hached, B.P. n° 94 - ROMMANA, Tunis 1068, Tunisia" -"Jiujiang University, China",29.720049,115.998825,"17 Lufeng Rd, Xunyang Qu, Jiujiang Shi, Jiangxi Sheng, China, 332000" -"Sunway University, Selangor, Malaysia",3.0669114,101.6036003,"5, Jalan Universiti, Bandar Sunway,, Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia" -India,20.593684,78.96288,India -"USTC, China",31.821994,117.28059,"1129 Huizhou Ave, Baohe Qu, Hefei Shi, Anhui Sheng, China, 230022" -"CNRS IEF UMR 8622, Université Paris-Sud, Paris, France",48.8476037,2.2639934,"3 Rue Michel Ange, 75016 Paris, France" -"Shanghai University of Engineering Science, Shanghai, China",31.05723,121.208437,"333 Longteng Rd, Songjiang Qu, Shanghai Shi, China" -"Nanjing Forestry University, China",32.080904,118.812736,"159 Longpan Rd, Xuanwu Qu, Nanjing Shi, Jiangsu Sheng, China, 210037" -"TCS Innovation Labs, Bangalore, India",12.9385173,77.6207713,"18th A Main Rd, 6th Block, Koramangala, Bengaluru, Karnataka 560095, India" -"Division of Image Processing, Leiden University Medical Center, Netherlands",52.1677096,4.4774736,"Albinusdreef 2, 2333 ZA Leiden, Netherlands" -"CEFITEC - Centro de Física e Investigação Tecnológica, Faculdade de Ciência e Tecnologia, Caparica, Portugal",38.660964,-9.205813,"Calçada de Alfazina 2, 2825-149 Caparica, Portugal" -"Faculty of Science, Minia University, El-Minia, Egypt",28.1229214,30.7315439,"EL MENIA Raod ARD SHALABY EL، Menia Governorate, Egypt" -India,20.593684,78.96288,India -"The Dalian University of Technology, Dalian, China",38.880381,121.529021,"China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, 凌工路2号 邮政编码: 116023" -"Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China",30.289532,120.009886,"Yuhang, Hangzhou, China" -"RIKEN, 7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan",34.6533937,135.2207105,"7 Chome-1-26 Minatojima Minamimachi, Chuo Ward, Kobe, Hyōgo Prefecture 650-0047, Japan" -"University of Milano–Bicocca, Milan, Italy",45.518383,9.213452,"Edificio U6, Università degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy" -"Ecole Centrale de Lyon LIRIS Laboratory, CNRS, France",45.7835966,4.7678948,"E6, Ecole Centrale de Lyon, 36 Avenue Guy de Collongue, 69134 Écully, France" -"Birla Institute of Technology and Science, Pilani, Pilani-333031, Rajasthan, India",28.3588163,75.58802039999999,"Pilani, Rajasthan 333031, India" -"Information Security Research Division, Electronics and Telecommunications Research Institute, Daejeon, Korea",35.2253708,126.8461834,"1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea" -"Faculty of Education-Shabwa, University of Aden, Aden, Yemen",12.8121703,45.0391556,"Aden 2, Yemen" -"LSI, Physics and Computer Science, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza, Morocco",34.03383300000001,-4.979882799999999,"Fes 30050, Morocco" -"Ping An Technology (ShenZhen) Company Limited, Pudong New Area, People’s Republic of China",22.543096,114.057865,"Shenzhen, Guangdong, China" -"Graduate Program of Multimedia Systems and Intelligent Computing, National Cheng Kung University and Academia Sinica, Tainan, Taiwan",22.9988416,120.2195148,"No. 1號, Dasyue Rd, East District, Tainan City, Taiwan 701" -"Ulm University of Applied Sciences, Ulm, Germany",48.409,9.997426,"Prittwitzstraße 10, 89075 Ulm, Germany" -"Auckland University of Technology , Auckland, New Zealand",-36.8532194,174.7673188,"55 Wellesley St E, Auckland, 1010, New Zealand" -"Digital Performance and Simulation Key Laboratory, Beijing Institute of Technology, Beijing 100081, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"UC Irvine, Irvine, USA",33.6404952,-117.8442962,"Irvine, CA 92697, USA" -"SIEMENS S.A.S., SWE RC-FR IC-MOL RA R&D, 92320 Chatillon, France",48.80454169999999,2.2869271,"92320 Châtillon, France" -"Institute of Statistical Studies and Research, Cairo University, Cairo, Egypt",30.0312763,31.2105677,"مبنى، 5 Al Mdars, Ad Doqi, Giza Governorate 12613, Egypt" -"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia",2.2213964,102.4531155,"Jalan Lembah Kesang 1/1-2, Kampung Seri Mendapat, 77300 Merlimau, Melaka, Malaysia" -"SIAT, Chinese Academy of Science, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"TALP-UPC, Jordi Girona 1, 08034 BARCELONA, SPAIN",41.3879777,2.1125051,"Carrer de Jordi Girona, 1-3, 08034 Barcelona, Spain" -"Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, Germany",52.526,13.3144875,"Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany" -"Professor, Visualization and Perception Lab, Chennai, India",13.0826802,80.2707184,"Chennai, Tamil Nadu, India" -"INRIA, GRAVIR-CNRS, Montbonnot, France",45.217886,5.807369,"655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France" -"Wuhan Univeristy, Wuhan, China",30.5360485,114.3643219,"Wuchang, Wuhan, Hubei, China, 430072" -"CongniVue Corporation, Gatineau, QC, Canada",45.4257486,-75.72056959999999,"25 Rue Eddy #100, Gatineau, QC J8X 4B5, Canada" -USA,37.09024,-95.712891,United States -"CRIStAL (UMR CNRS 9189) - Lille 1 University - Villeneuve d'Ascq, France",50.6097156,3.1372833,"Université Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France" -"Uurmi Systems Lab, Hyderabad, India",17.4280244,78.43340069999999,"8-2-268/28/N, Banjara Hills Road no 2, Banjara Hills, Hyderabad, Telangana 500034, India" -"Tarbiat Modarres University, Tehran, Iran",35.7232423,51.3840198,"Tehran Province, Tehran, Al Ahmad Street, No. 7، Jalal، Iran" -"Purdue Univ., West Lafayette, IN, USA",40.4237054,-86.92119459999999,"610 Purdue Mall, West Lafayette, IN 47907, USA" -"DISI - Università degli Studi di Genova, Via Dodecaneso 35 - I16146 - Italy",44.4034027,8.9721937,"Via Dodecaneso, 35, 16146 Genova GE, Italy" -"MASI Laboratory, E3S Research Center, MOHAMMED V UNIVERSITY (UM5), Rabat, Morocco",33.9715904,-6.8498129,"Rabat, Morocco" -"PARC, Palo Alto, CA",37.4024532,-122.1479632,"1314, 3333 Coyote Hill Rd, Palo Alto, CA 94304, United States" -"Brno University of Technology & Adobe Research, Brno, Czech Rep",49.22438,16.577013,"Technická 2896/2, 616 69 Brno-Královo Pole, Czechia" -"imec-IPI-Ghent University, Sint-Pietersnieuwstraat 41, 9000 Gent, Belgium",51.0465619,3.727918099999999,"St. Pietersnieuwstraat 33, 9000 Gent, Belgium" -"Signal and System Research Unit, ENIT, le belvedere 1002, Tunis, Tunisia",36.82663,10.17937,"28 Avenue Charles Nicolle, Tunis 1002, Tunisia" -India,20.593684,78.96288,India -"Cookpad, Inc., Tokyo, Japan",35.642145,139.713463,"Japan, 〒150-6012 東京都渋谷区 恵比寿4−20−3 恵比寿 ガーデンプレイス タワー 12F" -"NTT Media Intelligence Laboratories, Tokyo, Japan",35.6894875,139.6917064,"Tokyo, Japan" -"Universiti Kuala Lumpur, Kuala Lumpur",3.1593119,101.70137,"1016, Jalan Sultan Ismail, Bandar Wawasan, 50250 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia" -"Dipt. di Matematica ed Inf., Univ. degli studi di Salerno, Italy",40.7687118,14.7920179,"Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy" -"Xi'an Jiaotong Univeristy Guangdong Province Shunde Research Insitute, Foshan, 528000, China",34.250803,108.983693,"28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"D.S.M. College, Parbhani, India",19.2653666,76.76105179999999,"Masoom Colony, Parbhani, Maharashtra 431401, India" -"Lawrence Livermore National Laboratory, Livermore, CA",37.6869634,-121.7058752,"7000 East Ave, Livermore, CA 94550, USA" -"Univ Bretagne Occidentale, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France; CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France",48.3927799,-4.486177899999999,"2 Avenue Foch, 29200 Brest, France" -"AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, 1220 Vienna, Austria",47.9777244,16.5083475,"2444 Seibersdorf, Austria" -"Roke Manor Research Romsey, Hampshire SO51 0ZN, UK",50.999416,-1.519833,"Old Salisbury Ln, Romsey SO51 0ZN, UK" -"BIWI, ETH Zurich",47.3772398,8.552161800000002,"Sternwartstrasse 7, 8092 Zürich, Switzerland" -"Catholic University of Murcia, Murcia, Spain",37.9914675,-1.1854756,"Av. de los Jerónimos, 135, 30107 Guadalupe, Murcia, Spain" -"Multi Media laboratory, Toshiba Corporation, 1, Komukai-Toshiba-cho Saiwai-Ku, Kawasaki, Kanagawa Japan",35.5493113,139.6920144,"Japan, 〒212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, 小向東芝町1" -"Central South University, Changsha, China",28.16437,112.93251,"932 Lushan S Rd, Yuelu Qu, Changsha Shi, Hunan Sheng, China" -"MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, -Budapest, Hungary",47.4782828,19.0521075,"Budapest, Kende u. 13, 1111 Hungary" -"Iran University of Science and Technology, Narmak, Iran",35.742474,51.5023103,"Tehran, Tehran Province, Iran" -"University of Kaiserslautern & German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany",49.4295181,7.7513891,"Trippstadter Str. 122, 67663 Kaiserslautern, Germany" -"Division of Digital Media Engineering, Sang-Myung University, Suwon, Republic of Korea",37.602638,126.955252,"20 Hongjimun 2-gil, Buam-dong, Jongno-gu, Seoul, South Korea" -"BSUIR, Minsk, Belarus",53.9188117,27.5937053,"vulica Pietrusia Broŭki 6, Minsk 220013, Belarus" -"Laboratoire Hubert Curien, UMR5516, Université Jean Monnet, Saint-Etienne, France",45.424622,4.392984999999999,"10 Rue Tréfilerie, 42100 Saint-Étienne, France" -"Movidius Plc., Dublin, Ireland",53.3468215,-6.2582634,"O'Connell Bridge House, Dublin Southside, Dublin, Ireland" -"Tokyo, Japan",35.6894875,139.6917064,"Tokyo, Japan" -"Tripura University (A Central University), Suryamaninagar, Tripura, India",23.7609757,91.2658244,"Suryamani Nagar, Bikramnagar, Tripura 799022, India" -"University of Bari Aldo Moro, Bari, Italy",41.1205546,16.8684745,"Piazza Umberto I, 1, 70121 Bari BA, Italy" -"Oxford-Brookes University, Oxford, OX3 0BP, United Kingdom",51.755011,-1.224225,"Headington Rd, Oxford OX3 0BP, UK" -"Chonnam National University, Gwangju, South Korea",35.1761175,126.9058167,"77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea" -"Dipartimento di Informatica Bioingegneria Robotica e Ingegneria dei Sistemi, Università degli Studi di Genova, Genoa, Italy",44.4033423,8.958401199999999,"Via All'Opera Pia, 13, 16145 Genova GE, Italy" -"Fraunhofer FKIE, Wachtberg, Germany",50.617563,7.131178999999999,"Fraunhoferstraße 20, 53343 Wachtberg, Germany" -"Collaborative Innovation Center of International Dissemination of Chinese Language Henan Province (HNIDCL), Henan, China",34.2904302,113.3823545,"Henan, China" -"Università Ca’ Foscari Venezia, Venezia Mestre, Italy",45.434532,12.326197,"Dorsoduro, 3246, 30123 Venezia VE, Italy" -"Northwest University, Xi'an, China",34.14552,108.875136,"Chang'an Western University Town Shangquan, Chang'an, Xi'an, China" -"Institute of Structure of Matter, National Research Council, Rome, Italy",41.9027835,12.4963655,"Rome, Metropolitan City of Rome, Italy" -"Nara Institute of Science and Technology, Japan",34.7321121,135.7328585,"8916番地−5 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan" -"University of Nevada Reno, USA",39.5441917,-119.816397,"1664 N Virginia St, Reno, NV 89557, USA" -"CNRS - IRIT, Toulouse, France",43.5619848,1.4679851,"Avenue de l'étudiant, 31400 Toulouse, France" -"Universidad de León, León, Spain",42.6122612,-5.5603698,"Campus de Vegazana, s/n, 24071 León, Spain" -"Universidad Autonoma de Occidente, Cali, Colombia",3.353936,-76.52232599999999,"Cl. 25 ##115-85, Cali, Valle del Cauca, Colombia" -"LAAS-CNRS and Universite Paul Sabatier, Toulouse, France",43.5633427,1.4768695,"7 Avenue du Colonel Roche, 31400 Toulouse, France" -"Victoria University of Technology, Australia",-37.80486080000001,144.8983971,"238A Nicholson St, Footscray VIC 3011, Australia" -"G. H. Raisoni Collage of Engg and Technology, Pune, India",18.5734178,73.98188669999999,"Gat No.1200, Pune-Nagar Road, Wagholi, Pune, Maharashtra 412207, India" -"DAEIMI, University of Cassino, Cassino (FR), Italy",41.471875,13.828328,"Viale dell'Università, 03043 Cassino FR, Italy" -"National Tsing-Hua University, Hsin-Chu, Taiwan. e-mail: chihming.fu@gmail.com",24.7947253,120.9932316,"No. 101號, Section 2, Guangfu Road, East District, Hsinchu City, Taiwan 300" -"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China",34.250803,108.983693,"28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"JOANNEUM RESEARCH, Graz, Austria",47.0739965,15.4549304,"Leonhardstraße 59, 8010 Graz, Austria" -"Sony Electronics Inc., San Jose, CA, USA",37.3675905,-121.9133491,"1730 N 1st St, San Jose, CA 95112, USA" -"University of Colombo School aof Computing, University of Colombo ∗No 35, Reid Avenue, Colombo 7",6.9021924,79.86113859999999,"UCSC Building Complex, 35 Reid Ave, Colombo 00700, Sri Lanka" -UBTech Sydney Artificial Intelligence Institute,-33.888584,151.1873473,"Camperdown NSW 2006, Australia" -"College of Humanities & Information of Changchun University of Technology, Changchun, China",43.783088,125.428587,"1016 Fuzhi Rd, Nanguan Qu, Changchun Shi, Jilin Sheng, China, 130122" -"Center for OPTical IMagery Analysis and Learning and Xi'an Institute of Optics and Precision Mechanics, Xi'an, China",34.341574,108.93977,"Xi'an, Shaanxi, China" -"St. Xavier's Catholic College of Engineering, Nagercoil, India",8.195365299999999,77.3839993,"Chunkankadai, Kanyakumari District, Nagercoil, Tamil Nadu 629003, India" -"Fac. of Sci., Amsterdam Univ., Netherlands",52.35581819999999,4.955726299999999,"1012 WX Amsterdam, Netherlands" -"Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK",51.2421839,-0.5905421,"388 Stag Hill, Guildford GU2 7XH, UK" -"College of Computer Science at Chongqing University, Chongqing, PRC",29.56488,106.468097,"China, Chongqing Shi, Shapingba Qu, ChongQing DaXue, 沙正街174号" -"University of Southern California Institute for Creative Technologies, Los Angeles, CA",33.9832526,-118.40417,"12015 E Waterfront Dr, Los Angeles, CA 90094, USA" -"Technische Universität Darmstadt, Darmstadt",49.8748277,8.6563281,"Karolinenpl. 5, 64289 Darmstadt, Germany" -"University of Frères Mentouri, Constantine, Algeria",36.3408311,6.6203356,"Constantine, Algeria" -"Brest, France",48.390394,-4.486076,"Brest, France" -"Faculty of Engineering, University of Fukui, Japan",36.0750989,136.2122239,"3 Chome-9-1 Bunkyo, Fukui, Fukui Prefecture 910-8507, Japan" -"Disney Research, Pittsburgh, PA, USA",40.4439789,-79.9464634,"4720 Forbes Ave, Pittsburgh, PA 15213, USA" -"IBM Research T. J. Watson Center, U.S.A",41.2097516,-73.8026467,"1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA" -"Merses Center for Applied Research, Pforzheim University, Germany",48.8921862,8.6946286,"Pforzheim, Germany" -"GGITS, Jabalpur",23.1291635,79.87483089999999,"P.O. Tilwara Ghat, Near Bargi Hills, Jabalpur, Madhya Pradesh 482003, India" -"Higher Education Mega Center, Guangzhou, China",23.04342,113.400431,"Higher Education Mega Center South, Panyu Qu, Guangzhou Shi, China, 510006" -"Nanchang Hangkong University, Nanchang, China",28.656811,115.828837,"China, Jiangxi, Nanchang, Xinjian, 前湖大道" -"INESC TEC, Universidade do Porto, Porto, Portugal",41.1794292,-8.595407,"Portugal, R. Dr. Roberto Frias, Porto, Portugal" -"National Laboratory of Pattern Recognition, Institute of Automation, Academy of Sciences, Beijing, China",39.979203,116.33287,"China, Beijing, Haidian, 中关村东路95号" -"IIIT Hyderabad, India",17.4452358,78.3492765,"DLF Building, Professor CR Rao Rd, Gachibowli, Hyderabad, Telangana 500032, India" -"National University of Ireland, Galway",53.2770243,-9.0614864,"University Rd, Galway, Ireland" -"CERTH-ITI, Thessaloniki, Greece",40.5667611,22.9980147,"Thermi 570 01, Greece" -"Macquarie University, Sydney, Australia",-33.77382370000001,151.1126498,"Balaclava Rd, Macquarie Park NSW 2109, Australia" -"Defence Research and Development Canada, Toronto, Ontario",43.7510765,-79.46945699999999,"1133 Sheppard Ave W, North York, ON M3K 2C9, Canada" -"Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India",28.65508599999999,77.33309489999999,"Site 4, Maharajpur, Sahibabad Industrial Area Site 4, Sahibabad, Ghaziabad, Uttar Pradesh 201010, India" -"The Nature-Inspired Computational Intelligence Research Group, Kanpur, India",26.449923,80.3318736,"Kanpur, Uttar Pradesh, India" -"UFMG, Belo Horizonte, Brazil",-19.8690878,-43.9663841,"Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil" -"TU Wien, Vienna, Austria",48.1986546,16.3684626,"Karlsplatz 13, 1040 Wien, Austria" -"Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland",47.3772398,8.552161800000002,"Sternwartstrasse 7, 8092 Zürich, Switzerland" -"UR: SAGE-ENISo, University of Sousse, Tunisia",35.82039,10.5930903,"Pôle technologique de Sousse, Route de Ceinture Sahloul، 4054, Tunisia" -"Universitas Telkom, Multimedia Laboratory, Bandung, West Java, 40257",-6.9763411,107.6307039,"Jl. Telekomunikasi No.1, Sukapura, Dayeuhkolot, Bandung, Jawa Barat 40257, Indonesia" -"Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xuejia@mail.ustc.edu.cn",31.821994,117.28059,"1129 Huizhou Ave, Baohe Qu, Hefei Shi, Anhui Sheng, China, 230022" -"University of Technology, Sydney, Australia",-33.8832376,151.2004942,"15 Broadway, Ultimo NSW 2007, Australia" -"Environment Perception Group, Daimler AG Group Research & Advanced Engineering, 71059 Sindelfingen, Germany",48.7074558,9.0044053,"Sindelfingen, Germany" -"University of Essex, Essex, United Kingdom",51.7343313,0.4690888,"Essex, UK" -"Wenzhou Medical University, Wenzhou, China",27.925146,120.71201,"Ouhai, Wenzhou, China" -"LIVIC (INRETS/LCPC), 14 route de la minière, building 824, 78000 Versailles - Satory, France",48.78243,2.101919,"building 824, 14 Route de la Minière, 78000 Versailles, France" -"Group of Research in Images Synthesis, Intelligence Artificial Laboratory, University Paris 8,  ",48.9449133,2.3635056,"2 Rue de la Liberté, 93526 Saint-Denis, France" -"Catholic University of Korea, Bucheon, South Korea",37.486986,126.792379,"327 Sosa-ro, Sosa-dong, Wonmi-gu, Bucheon, Gyeonggi-do, South Korea" -"College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China",26.0252776,119.2117845,"1 Guangxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China" -"Division of Electrical Engineering and Computer Science, Kanazawa University, Ishikawa, Japan",36.5471059,136.7074021,"Kakumamachi, Kanazawa, Ishikawa Prefecture 920-1192, Japan" -"National Institute of Informatics, Japan & University of Tokyo, Tokyo, Japan",35.6924853,139.7582533,"2 Chome-1-2 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan" -"Dhanbad, India",23.7956531,86.43038589999999,"Dhanbad, Jharkhand, India" -"IIT Roorkee, India",29.8648599,77.89657869999999,"Roorkee - Haridwar Highway, Roorkee, Uttarakhand 247667, India" -"Institute of Real Time Learning Systems, University of Siegen, Siegen, Germany",50.9112613,8.025453299999999,"Adolf-Reichwein-Straße 2, 57068 Siegen, Germany" -"Universitat Jaume I, Castelló de la Plana, Spain",39.9945711,-0.0689003,"Avenida de Vicent Sos Baynat, s/n, 12071 Castelló de la Plana, Castelló, Spain" -"Navy Center for Applied Research in AI Naval Research Laboratory, Code 5514 Washington, DC 20375",38.8231365,-77.0179474,"4555 Overlook Ave SW, Washington, DC 20375, USA" -"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19 Bratislava, Slovak Republic",48.15185320000001,17.0733446,"Ilkovičova 2961/3, 841 04 Karlova Ves, Slovakia" -Southampton SOl7 1BJ UK,55.378051,-3.435973,United Kingdom -"Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey",41.0520861,29.0106553,"Yıldız Mh., 34349 Beşiktaş/İstanbul, Turkey" -"Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India 382007",23.1885469,72.6290294,"Near Reliance Chowkdi, DA IICT Road, Gandhinagar, Gujarat 382007, India" -"Chinese Academy of Sciences and Anhui Engineering Laboratory for Intelligent Driving Technology and Appllication, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China",31.8834871,117.1782433,"Luyang, Hefei, Anhui, China, 230031" -"Namseoul University, Cheonan, South Korea",36.909155,127.144395,"91 Daehak-ro, Seonghwan-eup, Seobuk-gu, Cheonan, Chungcheongnam-do, South Korea" -"Faculty of Information Technology, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia",2.9276384,101.6420577,"Persiaran Multimedia, 63100 Cyberjaya, Selangor, Malaysia" -"Centro de Informática, Universidade Federal de Pernambuco, Av. Luiz Freire s/n, 50670-901, Recife, Brazil",-8.0556681,-34.951578,"Av. Jorn. Aníbal Fernandes, s/n - Cidade Universitária, Recife - PE, 50740-560, Brazil" -"Faculty of Computer Engineering, Munzur University, Tunceli, Turkey",39.0458013,39.5174454,"Aktuluk Mahallesi, Merkez, Üniversite Yerleşkesi, 62000 Tunceli Merkez/Tunceli, Turkey" -"Université de Lorraine-LORIA UMR 7503, Vandoeuvre-lès-Nancy, France",48.66579549999999,6.158420700000001,"Campus Scientifique, 615 Rue du Jardin-Botanique, 54506 Vandœuvre-lès-Nancy, France" -"Computer Vision and Systems Laboratory, Laval University, Quebec City G1V 0A6, Canada",46.7791242,-71.2762657,"1065 Avenue de la Médecine, Québec, QC G1V 0A6, Canada" -"College of Applied Computer Science, King Saud University (Almuzahmiyah Branch), Riyadh, Saudi Arabia",24.7229987,46.6199121,"King Saud University, Riyadh 12372, Saudi Arabia" -"Faculty of Science, University of Peradeniya, Sri Lanka",7.258947099999999,80.5976503,"Faculty of Science, University of Peradeniya, Peradeniya - Deltota - Rikiligaskada Road, Peradeniya, Central Province, Sri Lanka" -"Chinese Academy of Sciences and Anhui Province Key Laboratory of Intelligent connected technology, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China",31.8834871,117.1782433,"Luyang, Hefei, Anhui, China, 230031" -"Siemens Biometrics Center, Siemens IT Solutions and Services, Strassgangerstrasse 315, 8054 Graz, Austria",47.0409174,15.3965898,"Straßganger Str. 315, 8054 Graz, Austria" -"University of Leicester, UK, LE5 4PW",52.6211393,-1.1246325,"University Rd, Leicester LE1 7RH, UK" -"Translational and Molecular Imaging Institute, New York, USA",40.7908207,-73.9517048,"Hess Center for Science and Medicine, 1470 Madison Ave, New York, NY 10029, United States" -"University at Buffalo, The State University of New York, Buffalo, NY, USA",43.0008093,-78.7889697,"Buffalo, NY 14260, USA" -"Fakulti Teknologi Maklumat Dan Sains, Kuantitatif, UiTM, Shah Alam, 40000, Selangor, Malaysia",3.0713472,101.5002144,"40450 Shah Alam, Selangor, Malaysia" -"University of Ulsan, Ulsan, 133-791, Korea",35.5437411,129.2562843,"93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea" -"B.N.M Institute of Technology, Bangalore, India",12.9219509,77.56713909999999,"12th Main Road, 27th Cross, Banashankari Stage II, Banashankari, Bengaluru, Karnataka 560070, India" -"ISIR of Osaka University, Osaka, Japan",34.8247841,135.5234524,"8-1 Mihogaoka, Ibaraki, Osaka Prefecture 567-0047, Japan" -"Fulda University of Applied Sciences, Fulda, Germany",50.5653848,9.688258,"Leipziger Str. 123, 36037 Fulda, Germany" -"Electronics and Instrumentation Engineering, Seemanta Engineering College, Mayurbhanj, Odisha, India, 757086",22.17084,86.60754910000001,"Mayurvihar, P.O. - Jharpokharia, Dist: Mayurbhanj, Kandalia, Odisha 757086, India" -"Laboratory of Computer Systems and Vision, Faculty of Science, Ibn Zohr University, Agadir-80000, Morocco",30.4109818,-9.543474000000002,"Annexe de l'université Ibn Zohr, Agadir 80000, Morocco" -"International Computer Science Institute, Berkeley, CA, USA",37.8701543,-122.2712312,"1947 Center St, Berkeley, CA 94704, USA" -"College of Physics and Electronic Information, Wenzhou University, Wenzhou, China",28.00676,120.676186,"China, Zhejiang, Wenzhou, Lucheng, 民航路" -"Xi’an Jiaotong University, Xi’an, China",34.250803,108.983693,"28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"Institute of Computer Science and Mathematics, Slovak University of Technology, Bratislava, Slovakia",48.1548098,17.1058371,"Štefánikova 898/49, 814 73 Bratislava - Staré Mesto-Staré Mesto, Slovakia" -"Institute of Electrical Control Engineering, National Chiao Tung University 1001 University Road, Hsinchu, Taiwan",24.7883959,120.999509,"No. 1001號, Daxue Road, East District, Hsinchu City, Taiwan 30010" -"University of California, Los Angeles, CA, USA",34.068921,-118.4451811,"Los Angeles, CA 90095, USA" -"Institute of Physical Education Bangkok Campus, Faculty of Sport Science and Health, Pathumthani 12110, Thailand",13.7434859,100.5270847,"Pathum Wan, Bangkok, จังหวัด กรุงเทพมหานคร 10330, Thailand" -"Indiana University-Purdue University Indianapolis, 46202, USA",39.7738832,-86.1763393,"420 University Blvd, Indianapolis, IN 46202, USA" -"Clarkson University, 8 Clarkson Ave, Potsdam, New York",44.66376109999999,-74.998544,"8 Clarkson Ave, Potsdam, NY 13699, USA" -"Jaguar Land Rover, Engineering Centre, Coventry, UK",52.38328780000001,-1.4911326,"Abbey Rd, Coventry CV3 4LF, UK" -"Institute of Information Technology and Communications, Otto-von-Guericke University, Magdeburg, Germany",52.1402053,11.6441991,"Universitätspl. 2, 39106 Magdeburg, Germany" -"Indiana University-Purdue University Indianapolis, USA",39.7738832,-86.1763393,"420 University Blvd, Indianapolis, IN 46202, USA" -"ODTÜ Görüntü Analizi Uygulama ve Araştırma Merkezi (OGAM), Ankara, Türkiye",39.9333635,32.8597419,"Ankara, Turkey" -"John Hopkins University, Baltimore, MD",39.3299013,-76.6205177,"Baltimore, MD 21218, USA" -"University of Sciences and Technology, USTHB University, BP 32, El Alia, Algiers, Algeria",36.7113147,3.1817222,"Bab Ezzouar 16111, Algeria" -"University of Ulsan, Ulsan, Korea",35.5437411,129.2562843,"93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea" -"NTNU, Norway",63.41949899999999,10.4020771,"Høgskoleringen 1, 7491 Trondheim, Norway" -"Umm Al-Qura University, Mecca, Saudi Arabia",21.3298361,39.9488891,طريق الأمير سلطان بن عبد العزيز، Makkah Saudi Arabia -"École d'Ingénieur Généraliste en Informatique et Technologies du Numérique (EFREI), France",48.78873369999999,2.3637327,"30-32 Avenue de la République, 94800 Villejuif, France" -"Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou 310018, China",30.3160097,120.3739407,"Jianggan, Hangzhou, Zhejiang, China, 310018" -"Nissan Research Center, Silicon Valley, USA",37.4103664,-122.0234402,"1215 Bordeaux Dr, Sunnyvale, CA 94089, USA" -"Institute of Forensic Medicine, University of Southern Denmark, Odense, Denmark",55.3701406,10.4000674,"Lucernemarken 20, 5260 Odense, Denmark" -"Xi’an Jiaotong-Liverpool University, Jiangsu, China",31.274822,120.738094,"Wuzhong, Suzhou, China, 215123" -"CNRS-LTCI, Télécom ParisTech, Paris, France",48.8262943,2.3464188,"46 Rue Barrault, 75013 Paris, France" -"GVU Center, Georgia Inst. of Technol., Atlanta, GA, USA",33.7756178,-84.39628499999999,"North Ave NW, Atlanta, GA 30332, USA" -"Data Mining and Text Mining Lab, Bharathiar University, Coimbatore, Tamilnadu, India",11.0390221,76.87642,"Bharathiyar University, Coimbatore, Tamil Nadu 641046, India" -"University of Vigo, pcomesan@gts.tsc.uvigo.es",42.1697632,-8.6845784,"Circunvalación ao Campus Universitario, 36310 Vigo, Pontevedra, Spain" -"Vision and Pattern Recognition Systems Research Group, Capital University of Science and Technology, Islamabad, Pakistan",33.5467571,73.18398839999999,"Kahuta Road، Sihala, Islamabad, Islamabad Capital Territory, Pakistan" -"Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520",13.7309553,100.7811774,"1 Thanon Chalong Krung, Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand" -"Deniz Harp Okulu, Turkey",40.8153632,29.270839,"Postane Mahallesi, Rauf Orbay Cad. Deniz Harp Okulu Komutanlığı, 34940 Tuzla/İstanbul, Turkey" -"IEMN DOAE UMR CNRS 8520 Laboratory, Polytechnic University of Hauts-de-France, Famars, France",50.3250322,3.5139816,"59125 Famars, France" -"Politecnico di Torino, Turin, Italy",45.0632312,7.6623256,"Corso Duca degli Abruzzi, 24, 10129 Torino TO, Italy" -"Information Engineering College, Central University for Nationalities, Beijing, 100081, China",39.950878,116.320185,"27 Zhongguancun S St, Haidian Qu, Beijing Shi, China" -"Shaoguan University, Shaoguan, Guangdong, China",24.774817,113.674629,"Qujiang, Shaoguan, Guangdong, China" -"IBM Research - Zürich, 8803 Rüschlikon, Switzerland",47.3095016,8.5450716,"Säumerstrasse 4, 8803 Rüschlikon, Switzerland" -"Microelectronics and Control Systems, PES Institute of Technology Bangalore, Karnataka, India",12.9344948,77.5345164,"Outer Ring Rd, Banashankari 3rd Stage, Banashankari, Bengaluru, Karnataka 560085, India" -"University of California, Santa Cruz, Santa Cruz",36.9915847,-122.0582771,"1156 High St, Santa Cruz, CA 95064, USA" -"Institute of Road and Transport Technology, Erode-638 316, India",11.4151249,77.66557019999999,"Near Vasavi College PO, Erode, Tamil Nadu 638316, India" -"Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia",46.5590355,15.6380735,"Koroška cesta 46, 2000 Maribor, Slovenia" -"Brunei University, London, London, UK",51.5328677,-0.471229,"Kingston Ln, London, Uxbridge UB8 3PH, UK" -"National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan",22.6489458,120.3283157,"No. 415號, Jiangong Road, Sanmin District, Kaohsiung City, Taiwan 807" -"Pompeu Fabra University, Barcelona, Spain",41.3789689,2.179794100000001,"Plaça de la Mercè, 10, 08002 Barcelona, Spain" -"Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France",50.6097156,3.1372833,"Université Lille1, M3, Avenue Carl Gauss, 59650 Villeneuve-d'Ascq, France" -"Microsoft & University of Massachusetts, Amherst, Redmond, WA, USA",42.3911569,-72.5267121,"Amherst, MA 01003, USA" -"Kyungpook National University, Taegu, Korea",35.888836,128.6102997,"80 Daehak-ro, Sangyeok 3(sam)-dong, Buk-gu, Daegu, South Korea" -"Poznań University of Economics and Business, Poznan, Poland",52.4062096,16.918476,"61-875, aleja Niepodległości 10, Poznań, Poland" -"Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, 41125, Italy",44.6291847,10.9487978,"Via P. Vivarelli, 10, 41125 Modena MO, Italy" -"State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, China",20.06199,110.32874,"China, 第一食堂2楼" -"Glasgow Caledonian University, Glasgow, United Kingdom",55.8668183,-4.249960199999999,"Cowcaddens Rd, Glasgow G4 0BA, UK" -"German Cancer Research Center, Heidelberg, Germany",49.414414,8.672960699999999,"Im Neuenheimer Feld 280, 69120 Heidelberg, Germany" -Universiti Tunku Abdul Rahman,4.340067299999999,101.1429799,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia" -"Hewlett-Packard Laboratories, Palo Alto, CA, USA",37.4158716,-122.1465855,"3000 Hanover St, Palo Alto, CA 94304, USA" -"Universidad de Alicante, Spain",38.3852446,-0.5143160999999999,"Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain" -"ENSTA ParisTech, UIIS Lab University of Paris-Saclay, 91762 Palaiseau, France",48.7107339,2.2180501,"828 Boulevard des Maréchaux, 91120 Palaiseau, France" -"National Institute of Technology Silchar, India",24.7577144,92.79229289999999,"NIT Road, Fakiratilla, Silchar, Assam 788010, India" -"MMA Laboratory, National Institute of the Applied Sciences and Technology, Carthage University, Tunis, Tunisia",36.842893,10.196202,"676 INSAT Centre Urbain Nord BP، Tunis Cedex 1080, Tunisia" -"Prince of Songkla University, Hat Yai, Thailand",7.0064179,100.4992064,"15 Karnjanavanich Road Kho Hong, Amphoe Hat Yai, Chang Wat Songkhla 90110, Thailand" -"University of Chittagong, Bangladesh",22.471038,91.78846569999999,"Chittagong University Road,suburban area of Hathazari, Chittagong, Bangladesh" -"Faculty of Mathematics, Complutense University of Madrid, Madrid, Spain",40.4494588,-3.7258568,"Plaza Ciencias, 3, 28040 Madrid, Spain" -"Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile",-33.0446498,-71.6137818,"Brasil 2147, Valparaíso, Región de Valparaíso, Chile" -"University of Firenze, Firenze, Italy",43.7776426,11.259765,"Piazza di San Marco, 4, 50121 Firenze FI, Italy" -"ICTEAM-ELEN, Université catholique de Louvain, Louvain-La-Neuve, Belgium",50.6692115,4.623999599999999,"Avenue Georges Lemaitre 4, 1348 Ottignies-Louvain-la-Neuve, Belgium" -"PLA University of Science and Technology, Qinhuai District Nanjing, China",32.035225,118.855317,"China, Jiangsu, Nanjing, Xuanwu, 中山门外大街" -"Intel Labs, Pittsburgh PA",40.4439789,-79.9464634,"4720 Forbes Ave, Pittsburgh, PA 15213, USA" -"Shenzhen Key Laboratory of High Performance Data Mining, Shenzhen, China",22.543096,114.057865,"Shenzhen, Guangdong, China" -Microsoft Research Cambridge,52.1948902,0.1350481,"21 Station Rd, Cambridge CB1 2FB, UK" -"Newark, DE, U.S.A.",39.6837226,-75.74965720000002,"Newark, DE, USA" -"Dipartimento di Informatica, Sapienza Università di Roma, Via Salaria 113, 00198, Roma",41.9140315,12.4970221,"Via Salaria, 113, 00198 Roma RM, Italy" -"University of Catania, Viale, Andrea Doria, Catania, IT",37.526779,15.0778019,"Viale Andrea Doria, 6, 95125 Catania CT, Italy" -"Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany",52.526,13.3144875,"Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany" -"Université de Technologie de Compiègne (UTC), France",49.4152242,2.8191144,"rue Roger Coutolenc, 60200 Compiègne, France" -"Science Applications International Corporation, Chantilly",38.8838707,-77.4547147,"14672 Lee Rd, Chantilly, VA 20151, USA" -"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy",45.4786698,9.2324209,"5 Politecnico di Milano, Via Giuseppe Ponzio, 34, 20133 Milano MI, Italy" -"Information and Communication Engineering, DGIST, Daegu, South Korea",35.705286,128.457102,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333" -"Le2i, UMR CNRS 5158, University of Burgundy, Dijon, France",48.8476037,2.2639934,"3 Rue Michel Ange, 75016 Paris, France" -"Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran",35.7040861,51.40916929999999,"استان تهران تهران منطقه ۶ استان تهران،، Rasht St, Iran" -"University Malaysia Perlis, Kangar, Malaysia",6.4622347,100.1646294,"Jalan Wang Ulu Arau, Sg. Chuchuh, 01000 Kangar, Perlis, Malaysia" -"Computer Science, Friedrich-Alexander Universitat Erlangen-Nurnberg, Erlangen, Germany, Germany",49.5978804,11.0045507,"Schloßplatz 4, 91054 Erlangen, Germany" -"College of Management, National United University, Miaoli, Taiwan",24.537837,120.7885323,"360, Taiwan, Miaoli County, Miaoli City, Lianda Road, 2號資工系1樓" -"Grupo Technología del Habla, E.T.S.I. Telecomunicación (ETSIT) Universidad Politécnica de Madrid (UPM), Madrid, Spain",40.4523805,-3.7262121,"Av. Complutense, 30, 28040 Madrid, Spain" -"Computer Science and Engineering, Washington University in St. Louis",38.649064,-90.302199,"One Brookings Drive, CB 1100, St. Louis, MO 63130, United States" -"Sch. of Inf. Eng., Dalian Maritime Univ., China",38.870041,121.534141,"1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China" -"Anhui University of Technology, Maanshan, Anhui, China",31.692956,118.510711,"59 Hudong N Rd, Huashan Qu, Maanshan Shi, Anhui Sheng, China, 243000" -"Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy",43.8015953,11.2452995,"Viale Giovanni Battista Morgagni, 46, 50134 Firenze FI, Italy" -"Computer Science Dapartment, Federal University of Technology - Paraná Via Rosalina Maria dos Santos, 1233, Campo Mourao - Parana - Brasil",-24.0614593,-52.3865404,"R. Rosalina Maria Ferreira, 1233 - Vila Guaruja, Campo Mourão - PR, 87301-899, Brazil" -"Energy Systems Modeling Laboratory, University of Biskra, Biskra, Algeria",34.8455802,5.7481915,"BP 145 RP، بسكرة 07000, Algeria" -"NTT Data Corporation, Toyosu Center Bldg Annex, 3-3-9, Koto-ku, Tokyo 135-8671, Japan",35.655952,139.796188,"Japan, 〒135-0061 Tokyo, Koto, Toyosu, 3 Chome−3−3 豊洲センタービル" -"Indian Institute of Information Technology, Chittoor, India",13.5568171,80.0261283,"630 Gnan Marg, Sri City, Andhra Pradesh 517646, India" -"Elektrik ve Elektronik Mühendisli¿i Bölümü, Eski¿ehir Osmangazi Üniversitesi, Turkey",39.748712,30.4759562,"Eskişehir Osmangazi Üniversitesi, Mühendislik Fakültesi, 26480 Odunpazarı/Eskişehir, Turkey" -"Gwangju Institute of Science and Technology, Gwangju, South Korea",35.2265288,126.839987,"123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea" -"Electronics and Telecommunications Research Institute, Daegu-Gyeongbuk Research Center, Republic of Korea",35.2253708,126.8461834,"1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea" -"Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Reggio Emilia, Italia",44.6874687,10.6672397,"Via Giovanni Amendola, 41-43, 42122 Reggio Emilia RE, Italy" -"Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjing, 300308, China",39.3433574,117.3616476,"Tianjin, China" -"LEAR Project-Team, Inria Grenoble-Rhône-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France",45.217886,5.807369,"655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France" -"BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany",51.766987,14.32695,"Platz der Deutschen Einheit 1, 03046 Cottbus, Germany" -"University of Sheffield, UK",53.3809409,-1.4879469,"Western Bank, Sheffield S10 2TN, UK" -"Nanjing University of Posts and Telecommunications, 210003, China",32.08025800000001,118.768159,"38 Guangdong Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028" -"Raja University of Qazvin, Qazvin, Iran",36.307633,50.011452,Qazvin raja univercity of، Iran -"Bahria University, Islamabad, Pakistan",33.7157446,73.0294124,"Sector E-8، Shangrilla Rd, E 8/1 E-8, Islamabad, Islamabad Capital Territory, Pakistan" -"Faculty of Eng., Sari Islamic Azad University, Sari, Iran",36.6483915,53.0701309,"Mazandaran Province, Farah Abad Rd, Iran" -"Military College of Signals. Rawalpindi, Pakistan",33.5775066,73.0632468,"Adiala Road, Lalazar, Rawalpindi, Punjab 46000, Pakistan" -"Distributed Multimedia Systems Technical University of Darmstadt, Germany",49.8748277,8.6563281,"Karolinenpl. 5, 64289 Darmstadt, Germany" -"Fullerton, California, US",33.8703645,-117.9242123,"Fullerton, CA, USA" -"Escuela de Ingeníeria Informática, Universidad Católica de Temuco, Temuco, Chile",-38.7359018,-72.5903739,"Temuco, Araucania, Chile" -"Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, Türkiye",41.0847571,29.0510399,"Bebek Mh., 34342 Beşiktaş/İstanbul, Turkey" -"Northumbria University Newcastle upon Tyne, NE1 8ST, UK",54.9767623,-1.6074983,"Sutherland Building, 2 Ellison Pl, Newcastle upon Tyne NE1 8ST, UK" -"Glasgow Caledonian University, Scotland, United Kingdom",55.8668183,-4.249960199999999,"Cowcaddens Rd, Glasgow G4 0BA, UK" -"Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China",39.10394429999999,117.1742232,"94 Weijin Rd, Nankai Qu, China, 300071" -"TED, Moirans, France",45.315136,5.597014,"460 Rue du Pommarin, 38430 Moirans, France" -"College of Automation, Nanjing University of Posts and Telecommunications, 210023, China",32.0568391,118.7789602,"22 Hankou Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210008" -"State Grid Energy Research Institute, China",39.883105,116.383646,"China, Beijing, Xicheng, 南横东街8号" -"Buffalo State University (SUNY), Buffalo, New York, USA",42.9336263,-78.8805479,"1300 Elmwood Ave, Buffalo, NY 14222, USA" -"College of Automation and Electrical Engineering, Qingdao University, Qingdao, China",36.068847,120.428165,"308 Ningxia Rd, Laoshan Qu, Qingdao Shi, Shandong Sheng, China, 266071" -"Visual Learning and Intelligence Group (VIGIL), India",17.5947033,78.1231054,"IITH Main Road, Near NH-65, Sangareddy, Kandi, Telangana 502285, India" -"Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK",53.4717306,-2.2399239,"John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom" -"Dharmsinh Desai University, Nadiad, India",22.6811771,72.87949139999999,"College Rd, Akshar Twp, Nadiad, Gujarat 387001, India" -"Syracuse University, Syracuse, New York",43.0391534,-76.1351158,"Syracuse, NY, USA" -"Nanjing University of Information Science & Technology, Nanjing, China",32.20541,118.726956,"Pukou, Nanjing, China, 210044" -"LRIT, associated unit to CNRST 29, Faculty of Sciences, Mohammed V University, Rabat, Morocco",33.9702335,-6.874473,"Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.، Rabat 10102, Morocco" -"Bilgisayar Mühendisliği, Ahmet Yesevi Üniversitesi, Ankara, Türkiye",39.92467140000001,32.8308519,"Yukarı Bahçelievler Mh., Şehit H. Temel Kuğuoğlu Sokak No:30, 06490 Çankaya/Ankara, Turkey" -"Room PQ809, Building P, The Hong Kong Polytechnic Univ, Hung Hom, Hong Kong",22.3045719,114.1795642,"11號 Yuk Choi Rd, Hung Hom, Hong Kong" -Finland,61.92410999999999,25.7481511,Finland -"University of Colorado at Denver, Denver, USA",39.7463596,-105.002342,"1201 Larimer St, Denver, CO 80204, USA" -"Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin, China",39.06694,117.111382,"Xiqing, China, 300384" -"University of Ulsan, Ulsan 680-749, Korea",35.5437411,129.2562843,"93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea" -China,35.86166,104.195397,China -"Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China",39.871611,116.479529,"Chaoyang, China, 100124" -"Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands",52.356678,4.95187,"Science Park 123, 1098 XG Amsterdam, Netherlands" -"Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany",50.7489052,7.2023373,"Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS, Schloss, 53757 Sankt Augustin, Germany" -"University of British Columbia (Okanagan), Kelowna, BC, Canada",49.941015,-119.396914,"3333 University Way, Kelowna, BC V1V 1V7, Canada" -"Multimedia Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran",35.73626369999999,51.38503189999999,"Tehran Province, Tehran, N Kargar, Iran" -"Beijing Forestry University, Beijing, China",40.00448799999999,116.3499723,"35 Qinghua E Rd, Haidian Qu, Beijing Shi, China, 100083" -"Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA",38.9959508,-77.0988323,"8600 Rockville Pike, Bethesda, MD 20894, USA" -"Indian Institute of Information Technology Guwahati, Assam, India, 781001",26.0813094,91.56199649999999,"IIITG - IT Park Street Bongora, Guwahati, Assam 781015, India" -"Umeå University, SE-901 87 Umeå, Sweden",63.82022240000001,20.3054461,"Postadress:, 901 87 Umeå, Sweden" -"Computer Science and Artificial Intelligence Laboratory, MIT,  ",42.36194070000001,-71.0904378,"32 Vassar St, Cambridge, MA 02139, USA" -"Gauhati University, Guwahati, Assam, India",26.1546284,91.66469889999999,"Jalukbari, Guwahati, Assam 781014, India" -"Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France",45.7618799,3.1127133,"24 Avenue des Landais, 63170 Aubière, France" -"Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China",28.727339,115.816633,"Qingshanhu, Nanchang, China, 330000" -"DMI College of Engineering Palanchur, Chennai, Tamilnadu",13.0260499,80.02700779999999,"NH-48, Palanchur – Nazarethpet Post, Opp Queens Land, Chennai, Tamil Nadu 600123, India" -"Toutiao AI Lab, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"RK University, Rajkot, India",22.2403032,70.90085460000002,"Bhavnagar Highway Kasturbadham, Rajkot, Gujarat 360020, India" -"Computer Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand",13.2311474,100.9584579,"Bang Phra, Si Racha District, Chon Buri 20110, Thailand" -"Malmö University, Applied Mathematics Group, Östra Varvsgatan 11A, 20506, Sweden",55.6156134,12.9852832,"Östra Varvsgatan 11A, 211 73 Malmö, Sweden" -"Kodak Research Laboratories, Eastman Kodak Company, Rochester",43.2029181,-77.62933269999999,"1422 Lake Ave, Rochester, NY 14615, USA" -"University of Verona, Verona - Italy",45.43739799999999,11.003376,"Via S. Francesco, 22, 37129 Verona VR, Italy" -"University of Petroleum (East China), Shandong, China",37.4623077,118.5005322,"Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000" -China,35.86166,104.195397,China -"Itseez, Korolenko 19b, Nizhny Novgorod, Russia",56.3115359,43.99281389999999,"Ulitsa Korolenko, 19 Б, Nizhnij Novgorod, Nizhegorodskaya oblast', Russia, 603000" -"Visual Information Analysis and Processing Research Center Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China. zhemingl@yahoo.com",22.586752,113.96878,"China, Guangdong, Shenzhen, Nanshan, 平山一路" -"Kyushu Institute of Technology, Iizuka, Japan",33.6541638,130.6712006,"680-4 Kawazu, Iizuka, Fukuoka Prefecture 820-0067, Japan" -"Mepco Schlenk Engineering College, Sivakasi, India",9.524678699999999,77.8553089,"Mepco Nagar, Mepco Engineering College Post, Sivakasi, Virudhunagar, Tamil Nadu 626005, India" -"Computer Vision Center, Edifici “O”, Campus UAB, Bellaterra, Spain",41.5008957,2.111553,"Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain" -"ANU (Australian National University), Australia",-35.2776999,149.118527,"Canberra ACT 0200, Australia" -"Xi’an Jiaotong University, Xi’an, P.R. China",34.250803,108.983693,"28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"Kitware Inc., Clifton Park, NY, USA 12065",42.8646263,-73.77036009999999,"1712 U.S. 9 Suite 300, Clifton Park, NY 12065, USA" -"Boğaziçi University, Bebek, Istanbul, Turkey",41.0847571,29.0510399,"Bebek Mh., 34342 Beşiktaş/İstanbul, Turkey" -"Shu-Te University, Taiwan",22.7632038,120.3757461,"No. 59, Hengshan Road, Yanchao District, Kaohsiung City, Taiwan 824" -"Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India",13.9663563,75.5789763,"Savalanga Road, Navule, Shivamogga, Karnataka 577204, India" -"Univ. at Buffalo, SUNY, USA",43.0008093,-78.7889697,"Buffalo, NY 14260, USA" -"Collaborative & Innovative Center for Educational Technology (CICET) Central China Normal University, Wuhan, China",30.518801,114.358401,"152 Luoyu Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430072" -"Institute of Engineering, University of Dunaujvaros, Dunaujvaros, Hungary",46.960507,18.933713,"Dunaújváros, Táncsics Mihály u. 1/a, 2400 Hungary" -"University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor, Malaysia",2.9451332,101.8760913,"B34, 43500 Semenyih, Selangor, Malaysia" -6,37.09024,-95.712891,"Independence, KS 67301, USA" -"German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany",49.4295181,7.7513891,"Trippstadter Str. 122, 67663 Kaiserslautern, Germany" -"Ars Electronica Futurelab, Linz, Austria",48.3097431,14.2843268,"Ars-Electronica-Straße 1, 4040 Linz, Austria" -"Lodz University of Technology, Lodz, Poland",51.7537146,19.4517176,"Stefana Żeromskiego 116, 90-924 Łódź, Poland" -"Osaka Municipal Technical Research Institute, Boulder, 536-8553 JAPAN",40.0149856,-105.2705456,"Boulder, CO, USA" -"Advanced Diagnostics and Progressive Human Care Research Group, Universiti Teknologi Malaysia, Malaysia",1.5632789,103.638219,"Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia" -"Instituto de Tecnologia - UADE, Buenos Aires, Argentina",-34.6170941,-58.3820478,"Lima 775, C1073 AAO, Buenos Aires, Argentina" -"Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India",21.0944477,78.9783831,"Wanadongri ct, Wanadongri, Maharashtra 441110, India" -"Centre for Research and Technology Hellas, Information Technologies Institute 57001, Thessaloniki, Greece",40.5667611,22.9980147,"Thermi 570 01, Greece" -"University of Minho, Guimarães, Portugal",41.5607319,-8.3962368,"R. da Universidade, 4710-057 Braga, Portugal" -"NeuroRx Research, Montréal, Canada",45.5103916,-73.5750577,"3575 Av du Parc #5322, Montréal, QC H2X 3P9, Canada" -"University of Souk-Ahras, Souk-Ahras, Algeria",36.298694,7.925920799999999,"Souk Ahras, Algeria" -"Centre for Secure Information Technologies (CSIT), Queen's University Belfast",54.61403199999999,-5.900431,"Belfast BT3 9DT, UK" -"University of Botswana Okavango Research Institute, Maun, Botswana",-19.9918124,23.4213004,"Maun, Botswana" -"Inha University, Incheon, Korea (Republic of)",37.4500221,126.653488,"100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea" -"Gwangju Institute of Science and Technology, Gwangju, Korea",35.2265288,126.839987,"123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea" -"University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, Jinan, China",36.616528,116.966214,"Shizhong, Jinan, China, 250000" -"Clínica Otocenter, Teresina, Piauí, Brasil",-5.0955559,-42.8065887,"Centro (Sul), Teresina - PI, 64001-300, Brazil" -"Osaka University 2-1 Yamadaoka, Suita, 565-0871, Osaka, Japan",34.8220139,135.5244676,"1-1 Yamadaoka, Suita, Osaka Prefecture 565-0871, Japan" -"Electronics and Telecommunications Research Institute, Daejeon, South Korea",36.383765,127.36694,"Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea" -"CA 93106, USA",34.4135868,-119.8496976,"Santa Barbara, CA 93106, USA" -"Faculty of Computer Science, University of Hertfordshire, Hatfield, U.K.",51.7615997,-0.2484136,"De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, UK" -"University of Ontario Institute of Technology, Oshawa, ON, Canada",43.9458718,-78.8967375,"2000 Simcoe St N, Oshawa, ON L1G 0C5, Canada" -"College of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China",37.794254,120.757747,"China, Shandong, Yantai, Penglai, S Ring Rd, 滨海中路191号" -"Advanced Digital Sciences Center, Singapore, Singapore",1.3037257,103.7737763,"1 Create Way, 14-02 Create Tower, Singapore 138602" -"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China",29.56488,106.468097,"China, Chongqing Shi, Shapingba Qu, ChongQing DaXue, 沙正街174号" -"Siemens Corporate Research, Plainsboro, USA",40.3442079,-74.5924599,"755 College Rd E, Princeton, NJ 08540, USA" -"European Commission, Joint Research Centre (JRC), Institute for Transuranium Elements (ITU), Via Enrico Fermi 2749, Ispra (VA), Italy",45.8039263,8.6296884,"Via E. Fermi, 2749, 21027 Ispra VA, Italy" -"Dalian Maritime University, Dalian, People’s Republic of China",38.870041,121.534141,"1 Linghai Rd, Ganjingzi Qu, Dalian Shi, Liaoning Sheng, China" -"Computer Science & Software Engineering The University of Western Australia 35 Stirling Highway, Crawley, WA, Australia",-31.9776461,115.8162218,"35 Stirling Hwy, Crawley WA 6009, Australia" -"IM&T Operations Assistant NEP Shared System Group, Northumbria Healthcare NHS, Stokesley, UK",54.4610993,-1.1786829,"8/9, Stokesley Business Park, Ellerbeck Way, Stokesley, North Yorkshire TS9 5QT, UK" -"Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, The Netherlands",52.078695,5.1197469,"Vondellaan 94, 3521 GH Utrecht, Netherlands" -"Zhejiang Wanli Univ., Ningbo",29.819014,121.567337,"8 Qianhu S Rd, Yinzhou Qu, Ningbo Shi, Zhejiang Sheng, China, 315000" -"Bina Nusantara University, Indonesia",-6.201804800000001,106.7815917,"Jalan Anggrek Cakra No.1A, RT.4/RW.6, Kebon Jeruk, RT.1/RW.9, Kb. Jeruk, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta 11540, Indonesia" -"LITIS Laboratory, Rouen University, Rouen, France",49.4583047,1.0688892,"1 Rue Thomas Becket, 76130 Mont-Saint-Aignan, France" -"Nokia Research Center Hollywood,  ",26.0112014,-80.1494901,"Hollywood, FL, USA" -KAIST,36.3721427,127.36039,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea" -"Indian Institute of Technology Roorkee, Roorkee, India-247667",29.8648599,77.89657869999999,"Roorkee - Haridwar Highway, Roorkee, Uttarakhand 247667, India" -"Winship Cancer Institute, Atlanta, USA",33.792872,-84.31940900000001,"1365 Clifton Rd, Atlanta, GA 30322, USA" -"The University of Western Ontario, London, Canada",43.0095971,-81.2737336,"1151 Richmond St, London, ON N6A 3K7, Canada" -Carnegie Mellon University. epxing@cs.cmu.edu,40.4428081,-79.94301279999999,"5000 Forbes Ave, Pittsburgh, PA 15213, USA" -"Goa University, India",15.458414,73.834555,"Taleigao Plateau, Goa 403206, India" -"Faculty of Engineering, Aswan University, Egypt",24.1285829,32.89943,"Red Sea Governorate, Egypt" -"University of Kansas, Lawrence, 66045-7621, USA",38.9543439,-95.2557961,"1450 Jayhawk Blvd, Lawrence, KS 66045, USA" -"HERE North America LLC, Chicago, IL, USA",41.884179,-87.638849,"425 W Randolph St, Chicago, IL 60606, USA" -"IIT(BHU), Varanasi, India",25.2623247,82.98937350000001,"IIT-BHU, Banaras Hindu University Campus, Uttar Pradesh 221005, India" -"Faculty of Engineering and Technology, Tunku Abdul Rahman University College, Wilayah Persekutuan Kuala Lumpur, Malaysia",3.2162248,101.7289611,"Kampus Utama, Jalan Genting Kelang, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia" -"Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India",9.0938349,76.4918814,"Clappana P.O Amritapuri,, Vallikavu, Kerala 690525, India" -"VISILAB group, University of Castilla-La Mancha, Ciudad Real, Spain",38.99404390000001,-3.9204979,"Avda. Camilo José Cela, s/n, 13071 Ciudad Real, Cdad. Real, Spain" -"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China",32.081946,118.769812,"Guangdong Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028" -"National Chung-Shan Institute of Science and Technology, Taiwan",24.8479244,121.2462357,"325, Taiwan, Taoyuan City, Longtan District, 中正路佳安段481號" -"Universidade NOVA Lisboa, Lisbon, Portugal",38.733682,-9.160333,"1070 Lisbon, Portugal" -"Univ. Copenhagen, Denmark",55.6802303,12.5724096,"Nørregade 10, 1165 København, Denmark" -Universiti Teknologi Malaysia,1.5632789,103.638219,"Sultan Ibrahim Chancellery Building, Jalan Iman, 81310 Skudai, Johor, Malaysia" -"Sookmyung Women’s University, Seoul, Republic of Korea",37.5463644,126.9648311,"100 Cheongpa-ro 47-gil, Cheongpadong 2(i)-ga, Yongsan-gu, Seoul, South Korea" -"Center for Reasearch on Intelligent Perception and Computing, CASIA, China",39.980196,116.333305,"Haidian, China, 100080" -"Academy of Broadcasting Science, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"China University of Geosciences, Wuhan 430074, China",30.51735439999999,114.4007303,"388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -"Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS)",-33.8840504,151.1992254,"Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia" -"RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France",48.8416212,2.3844801,"2 Rue Simone IFF, 75012 Paris, France" -"Faculty of Engineering, Tanta University, Tanta, Egypt",30.8255082,30.9942697,"Sabarbay, Tanta, Gharbia Governorate, Egypt" -"Federal University of Minas Gerais, Belo Horizonte, Brazil",-19.8690878,-43.9663841,"Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil" -"Audio-Visual Information Processing Laboratory (VIPLAB), Pontifical Catholic University of Minas Gerais (PUC Minas)",-18.512178,-44.5550308,"State of Minas Gerais, Brazil" -"Visteon Corporation, Pune, India",18.6153494,73.814197,"MIDC Pimpri, Pimpri-Chinchwad, Maharashtra, India" -"College of Engineering Munnar, Idukki, Kerala, India",10.0929689,77.06823349999999,"PB.No:45, County Hills, Munnar, Kerala 685612, India" -"Guilin University of Electronic Technology, Guilin, People’s Republic of China",25.28164,110.337304,"1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China" -Toyota Technological Institute at Chicago,41.7846982,-87.5925848,"6045 S Kenwood Ave, Chicago, IL 60637, USA" -"Rey Juan Carlos University, C. Tulipán, S/N, Móstoles, Madrid, Spain, 28933",40.3358661,-3.8769432,"Calle Tulipán, s/n, 28933 Móstoles, Madrid, Spain" -"Fachbereich Medizintechnik und Technomathematik, Standort Jülich, Fachhochschule Aachen, Jülich, Germany",50.936225,6.375235,"Heinrich-Mußmann-Straße 1, 52428 Jülich, Germany" -Cooperative Medianet Innovation CenterShanghai Jiao Tong University,31.0252201,121.4337784,"China, Shanghai, Minhang, 东川路 邮政编码: 200240" -"Wuhan Institute of Technology, China",30.5020376,114.3901822,"693 Xiongchu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -"CNRS, Heudiasyc UMR 7253, Sorbonne universités, Université de technologie de Compiègne, CS60319, Compiègne cedex, 60203, France",49.40075299999999,2.7952808,"57 Avenue de Landshut, 60200 Compiègne, France" -"University of Mississippi, University, MS",34.3647324,-89.538443,"University, MS 38677, USA" -"Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh India",14.6576467,77.6160874,"Vijayanagar Colony, Anantapur-Bangalore road, Anantapur, Andhra Pradesh 515001, India" -"Technion - Israel Institute of Technology, Technion City, Haifa, Israel, 32000",32.7767783,35.0231271,"Haifa, 3200003, Israel" -"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China",32.08025800000001,118.768159,"38 Guangdong Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028" -"U.S. Naval Research Laboratory, Washington, DC 20375, USA",38.8231365,-77.0179474,"4555 Overlook Ave SW, Washington, DC 20375, USA" -"Universite de Techonologie de Compiegne, Sorbonne Universites, Compiegne, France",49.4152242,2.8191144,"rue Roger Coutolenc, 60200 Compiègne, France" -"Bannari Amman Inst of Technology, Sathyamangalam, Erode, India",11.496197,77.27676,"Alathukombai Post, Erode District, Sathyamangalam, Tamil Nadu 638401, India" -Danang University of Science and Technology,16.0735975,108.1499457,"54 Nguyễn Lương Bằng, Hoà Khánh Bắc, Liên Chiểu, Đà Nẵng 550000, Vietnam" -"Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China",34.250803,108.983693,"28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"Multimedia Systems Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran",35.73626369999999,51.38503189999999,"Tehran Province, Tehran, N Kargar, Iran" -"Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China",33.5491006,119.035706,"1 Meicheng Rd, Qingpu Qu, Huaian Shi, Jiangsu Sheng, China, 223002" -"Electronics & communication Engineering Gurunanak Institute of Technology, Sodepur Kolkata, India",22.69514,88.3788246,"157/F, Nilgunj Rd, Sahid Colony, Panihati, Kolkata, West Bengal 700114, India" -"Chalmers University of Technology, Gothenburg, Sweden",57.6897063,11.9741654,"Chalmersplatsen 4, 412 96 Göteborg, Sweden" -"Defence Science and Technology Organisation (DSTO), Edinburgh, Australia",-34.729739,138.6405462,"Third Ave, Edinburgh SA 5111, Australia" -"Advanced Medical Electronics, USA",37.09024,-95.712891,United States -"Guangxi Experiment Center of Information Science, Guilin, China",25.234479,110.179953,"Guilin, Guangxi, China" -"University of Nîmes, France",31.6219236,-94.6462581,"1936 North St, Nacogdoches, TX 75962, USA" -"East China University of Science and Technology, Shanghai, People’s Republic of China",31.140897,121.425248,"130 Meilong Rd, Xuhui Qu, Shanghai Shi, China, 200237" -"Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA",42.7296206,-73.6802931,"110 8th St, Troy, NY 12180, USA" -"The University of Waikato, Knighton Road, Hamilton, New Zealand",-37.7868611,175.3184579,"Hillcrest, Hamilton 3216, New Zealand" -"Seoul National University of Science & Technology, Seoul, Korea",37.6316684,127.0774813,"232 Gongneung-ro, Gongneung-dong, Nowon-gu, Seoul, South Korea" -"CNRS, Université de Lyon, Lyon, France",45.7280307,4.825942899999999,"7 Passage du Vercors, 69007 Lyon, France" -"Computer Vision Laboratory, Linköping University, Linköping, Sweden",58.3978364,15.5760072,"581 83 Linköping, Sweden" -"Nippon Soken, Nishio, Japan",34.8619367,137.0618498,"Nishio, Aichi Prefecture, Japan" -"Laboratoire Jean Kuntzmann, Grenoble, France",45.1934894,5.7715318,"Laboratoire Jean Kuntzmann, 38610 Gières, France" -"Institute of Neural Information Processing, University of Ulm, Germany",48.4222305,9.955582,"Helmholtzstraße 16, 89081 Ulm, Germany" -"Nanjing University of Posts and Telecommunications, Nanjing, China",32.08025800000001,118.768159,"38 Guangdong Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028" -"Texas State University, San Marcos, TX, USA",29.888411,-97.938351,"601 University Dr, San Marcos, TX 78666, USA" -"China University of Petroleum, Qingdao, China",37.4623077,118.5005322,"Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000" -Stanford University and Coursera,37.3868492,-122.060844,"381 E Evelyn Ave, Mountain View, CA 94041, USA" -"Wakayama University, Sakaedani 930, Wakayama-City 640-8510, Japan",34.2657574,135.1517748,"Japan, 〒640-8510 和歌山県和歌山市栄谷930" -"DISI, Università di Genova, Italy",44.4149029,8.926743000000002,"Via Balbi, 5, 16126 Genova GE, Italy" -Romania,45.943161,24.96676,Romania -"Exploratory Comput. Vision Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA",41.2169961,-73.8072718,"200 Aqueduct Rd, Ossining, NY 10562, USA" -"Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan",34.7321121,135.7328585,"8916番地−5 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan" -"IIT Hyderabad, Kandi, Telangana, 502285, India",17.5947033,78.1231054,"IITH Main Road, Near NH-65, Sangareddy, Kandi, Telangana 502285, India" -"University of Verona, Strada le Grazie, Verona, Italy",45.4027968,10.9962191,"Str. le Grazie, 8, 37134 Verona VR, Italy" -"Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong",20.8368539,106.6942087,"484 Lạch Tray, Đổng Quốc Bình, Lê Chân, Hải Phòng, Vietnam" -"Huazhong Univ. of Sci.& Tech., China",30.510616,114.406972,"Zijing Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -"Computer and Mathematical Sciences, Auckland University of Technology, New Zealand",-36.8532194,174.7673188,"55 Wellesley St E, Auckland, 1010, New Zealand" -"Elektrik-Elektronik Müh. Bölümü Teknoloji Fakültesi, Firat Üniversitesi Elaziğ, Türkiye",38.6747649,39.1866925,"Üniversite Mahallesi, 23200 Elâzığ Merkez/Elazığ, Turkey" -"Changchun University of Technology, Changchun China",43.834677,125.303135,"7989 Weixing Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130012" -"Union College, Schenectady, New York, sadilekt@union.edu",42.81771250000001,-73.9295987,"807 Union St, Schenectady, NY 12308, USA" -"Friedrich Schiller University, Jena, Germany",50.9295513,11.5898195,"Fürstengraben 1, 07743 Jena, Germany" -"Center of Informatics, Federal University of Pernambuco, Recife, Brazil",-8.0556506,-34.951206,"Cidade Universitária, Recife - State of Pernambuco, 50740-540, Brazil" -"Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran",36.5611415,52.6805769,"Mazandaran Province, Babol, Shariati St, Iran" -"Engineering in Wuhan University of Technology, Wuhan, China",30.542755,114.292403,"China, Hubei, Wuhan, Wuchang, 临江大道" -"National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China",39.979203,116.33287,"China, Beijing, Haidian, 中关村东路95号" -Panasonic Singapore Laboratories Pte Ltd,1.336488,103.8932925,Singapore -"Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"Ubiquitous Interactive Systems Group, LMU Munich, Munich, Bavaria, Germany",48.150806,11.58043,"Geschwister-Scholl-Platz 1, 80539 München, Germany" -"Motorola Human Interface Labs, Tempe, Arizona 85284, USA",33.3363836,-111.9343636,"Tempe, AZ 85284, USA" -"Div. of Electrical Electronics and Control Engineering, Kongju National University, Kongju, Republic of Korea",36.4689824,127.1399993,"56 Gongjudaehak-ro, Shinkwan-dong, Gongju, Chungcheongnam-do, South Korea" -"Computer and Biomedical Engineering, University of Pavia, Pavia, Italy",45.1867055,9.1568417,"Corso Str. Nuova, 65, 27100 Pavia PV, Italy" -Carnegie Mellon University (CMU),40.4461504,-79.95104549999999,"4400 Fifth Ave, Pittsburgh, PA 15213, USA" -"INAOE, Puebla, Mexico",19.0323107,-98.31537019999999,"Luis Enrique Erro 1, Sta María Tonanzintla, 72840 Puebla, Pue., Mexico" -"Shanghai, China",31.2303904,121.4737021,"Shanghai, China" -"S.V. National Institute of Technology, Surat, 329507, India",21.167353,72.7850947,"Ichchhanath Surat- Dumas Road, Keval Chowk, Surat, Gujarat 395007, India" -"University Pau & Pays Adour, LIUPPA, EA3000, Mont De Marsan, France",43.3150753,-0.365641,"Avenue de l'Université, 64012 Pau, France" -"DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. cusano@disco.unimib.it",45.52369239999999,9.2194907,"Viale Sarca, 336, 20125 Milano MI, Italy" -"Institut fur Nachrichtentechnik, Universitat Karlsruhe, Germany",49.0090059,8.4055009,"Kreuzstraße 11, 76133 Karlsruhe, Germany" -"University of Peradeniya, Sri Lanka",7.258189900000001,80.5987806,"Galaha Rd, 20400, Sri Lanka" -"University of Applied Sciences Aschaffenburg, Germany",49.9711961,9.160562299999999,"Würzburger Str. 45, 63743 Aschaffenburg, Germany" -"Eeastern Mediterranean University, Famagusta, North Cyprus",35.1423793,33.9116479,"İsmet İnönü Bulvarı, Gazimağusa" -"Universiti Kuala Lumpur, Kedah",5.3847393,100.5743076,"Kulim Hi-tech Park, 09000 Kulim, Kedah, Malaysia" -"Jiangsu Jinling Sci & Tech Group Co., Ltd, Nanjing 210008, China",32.20541,118.726956,"Pukou, Nanjing, China, 210044" -"Virginia Tech, Blacksburg, VA, 24061, USA",37.22838429999999,-80.42341669999999,"Blacksburg, VA 24061, USA" -"Wuyi University, Jiangmen Guangdong, China 529020",22.599248,113.086634,"Pengjiang, Jiangmen, China, 529030" -"Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India",23.1283862,72.54485079999999,"Sarkhej-Gandhinagar Highway, Gota, Ahmedabad, Gujarat 382481, India" -"Honda Research Insitute, USA",39.9980005,-83.0457223,"1381 Kinnear Rd, Columbus, OH 43212, USA" -"ISSNIP, The University of Melbourne, Victoria - 3010, Australia",-37.7963689,144.9611738,"Parkville VIC 3010, Australia" -"Siemens Medical Solutions, Innovations Division, CA 94043, USA",37.428434,-122.0723816,"Mountain View, CA 94043, USA" -"GREC Research Group, Universitat Politècnica de Catalunya, Barcelona, Spain",41.388004,2.1132804,"Campus Nord, Carrer de Jordi Girona, 1, 3, 08034 Barcelona, Spain" -"Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, ul. Konstantynów 1H, 20-708, Poland",51.2476612,22.5448036,"Aleje Racławickie 14, 20-950 Lublin, Poland" -"National Tsing-Hua University, Hsin-Chu, Taiwan",24.7947253,120.9932316,"No. 101號, Section 2, Guangfu Road, East District, Hsinchu City, Taiwan 300" -"ETH Zurich, Zurich and ESAT-PSI/IBBT, KU Leuven",47.3768866,8.541694,"Zürich, Switzerland" -"Institute of Computer Science, Foundation for Research & Technology - Hellas, Heraklion, Crete, Greece",35.305262,25.072592,"100, Vassilika Vouton, GR 700, Nik. Plastira 13, Nea Alikarnassos 716 01, Greece" -"Science and Technology on Information, Systems Engineering Laboratory, Nanjing 210007, China",32.0181451,118.8372803,"Qinhuai, Nanjing, Jiangsu, China, 210007" -"Mashhad Branch, Islamic Azad University Mashhad, Iran",36.3580235,59.51599359999999,"Razavi Khorasan Province, Mashhad, Kuy-e-Honar, تقاطع, Ostad Yousefi Boulevard, Iran" -"Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. wanquan@cs.curtin.edu.au",-32.0061951,115.8944182,"Kent St, Bentley WA 6102, Australia" -"Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands",51.5631406,5.0419736,"Warandelaan 2, 5037 AB Tilburg, Netherlands" -"National Tsing-Hua University, Hsin-Chu, Taiwan",24.7947253,120.9932316,"No. 101號, Section 2, Guangfu Road, East District, Hsinchu City, Taiwan 300" -"ISTC-Pervasive Computing Intel Labs, Seattle, WA 98115, USA",47.5964863,-122.3281882,"705 5th Ave S, Seattle, WA 98104, USA" -"GRAM, University of Alcalá, Alcalá de Henares, Spain",40.4824722,-3.3628674,"Plaza de San Diego, s/n, 28801 Alcalá de Henares, Madrid, Spain" -"Beijing Institute of Technology, Beijng, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"Norwegian Biometric Laboratory, Gj⊘vik University College, Norway",61.0863085,6.5802878,"Vik, Norway" -"Univerisy of Northern British Columbia, Prince George, BC, Canada V2N 4Z9, E-mail: lchen@ieee.org",53.8922034,-122.8133607,"3333 University Way, Prince George, BC V2N 4Z9, Canada" -"Centre de Physiques des Particules de Marseille, Aix-Marseille Université, CNRS/IN2P3, Marseilles, France",43.230867,5.441107,"902, CEDEX, Case, 13288, 163 Avenue de Luminy, 13009 Marseille, France" -"Youngstown State University, USA",41.10626,-80.6477,"1 University Plaza, Youngstown, OH 44555, USA" -"The Pennsylvania State University Applied Research Laboratory, University Park, Pennsylvania, USA",40.7926473,-77.8658067,"Applied Research Laboratory, State College, PA 16801, USA" -"Faculty of Contemporary Sciences and Technologies, SEEU, Tetovo, Macedonia",41.9878797,20.9613765,"1220, Macedonia (FYROM)" -"Minneapolis, USA",44.977753,-93.2650108,"Minneapolis, MN, USA" -"LIFL (UMR Lille1/CNRS 8022) Telecom Lille1, Université de Lille1, France",50.6103822,3.1349625,"Rue Guglielmo Marconi, 59650 Villeneuve-d'Ascq, France" -University of South Alabama,30.6959406,-88.184236,"307 N University Blvd, Mobile, AL 36688, USA" -"Oxford Univ., UK",51.7548164,-1.2543668,"Oxford OX1 2JD, UK" -"City University of Hong Kong Kowloon, Hong Kong, China",22.3376185,114.1714132,"83 Tat Chee Ave, Kowloon Tong, Hong Kong" -"KTH - Royal Institute of Technology, Stockholm, Sweden",59.34980649999999,18.0706646,"Brinellvägen 8, 114 28 Stockholm, Sweden" -"Institute for Information and System Sciences, Xi’an Jiaotong University, Xi’an, China",34.250803,108.983693,"28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"University of Chicago, Chicago, IL, USA",41.7886079,-87.5987133,"5801 S Ellis Ave, Chicago, IL 60637, USA" -"IIIT Bangalore, India",12.8447512,77.6632317,"26/C, Hosur Rd, Electronics City Phase 1, Electronic City, Bengaluru, Karnataka 560100, India" -"Research Center for Science and Technology in Medicine, Tehran University of Medical Sciences, Tehran, Iran",35.70585519999999,51.3941057,"Tehran, District 6, استان تهران، تهران، خیابان پورسینا، Iran" -"National Inter-University Consortium for Telecommunications - Florence, Italy",43.7695604,11.2558136,"Florence, Metropolitan City of Florence, Italy" -"Guangdong University of Foreign Studies, Guangzhou, China",23.199791,113.289552,"2 Baiyun N Ave, Baiyun Qu, Guangzhou Shi, Guangdong Sheng, China, 510000" -"Instituto Superior Técnico, Instituto de Telecomunicações, Lisbon, Portugal",38.7368464,-9.1393457,"Instituto Superior Técnico, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal" -"Uppsala University, Uppsala, Sweden",59.85090049999999,17.6300093,"Uppsala, 752 36 Uppsala, Sweden" -"Tikkurila Oyj, Vantaa, Finland",60.2932539,25.0376944,"Tikkurila, 01300 Vantaa, Finland" -"SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France",48.6246883,2.4432511,"Courcouronnes, 9 Rue Charles Fourier, 91000 Évry, France" -"Center of Informatics - CIn, Federal University of Pernambuco - UFPE, Recife, Brazil",-8.0524478,-34.9497286,"Av. Prof. Moraes Rego, 1235 - Cidade Universitária, Recife - PE, 50670-901, Brazil" -"CVIT, IIIT Hyderabad",17.4450981,78.3497678,"IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India" -"Institute of Photonics and Communications, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, R.O.C.",22.6489458,120.3283157,"No. 415號, Jiangong Road, Sanmin District, Kaohsiung City, Taiwan 807" -"Indiana University Purdue University Indianapolis, USA",39.7738832,-86.1763393,"420 University Blvd, Indianapolis, IN 46202, USA" -"Center for Bionics, Korea Institute of Science and Technology, Inha University, South Korea",36.3721427,127.36039,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea" -9,35.5481854,-97.49650489999999,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA" -"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, China",34.250803,108.983693,"28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"Georgia Tech Research Institute, Atlanta, 30318 USA",33.7810109,-84.40039929999999,"400 10th St NW, Atlanta, GA 30318, USA" -"Toyota Central R&D Labs., Inc., Nagakute, Aichi, Japan",35.1689843,137.0542921,"41番1 Yokomichi, Nagakute, Aichi Prefecture 480-1192, Japan" -"Ministry of Higher Education, Riyadh, Kingdom of Saudi Arabia",24.7057395,46.6746647,"الطابق السابع ، الثامن ، التاسع، King Fahd Branch Rd, Al Olaya, Riyadh 11351, Saudi Arabia" -"Electronic Microtechnology (CSEM), Neuchâtel",46.9975655,6.947490200000001,"Rue Jaquet-Droz 1, 2002 Neuchâtel, Switzerland" -"Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina",-38.0053709,-57.57089999999999,"Deán Funes 3350, B7602AYL Mar del Plata, Buenos Aires, Argentina" -"Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin, China",45.7470436,126.6334306,"92 Xidazhi St, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150006" -"TU Darmstadt, Darmstadt, Germany",49.8748277,8.6563281,"Karolinenpl. 5, 64289 Darmstadt, Germany" -"INRIA Grenoble Rhone-Alpes, Grenoble, France",45.217886,5.807369,"655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France" -"Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan",34.0000461,71.4759682,"Grand Trunk Rd, Rahat Abad, Peshawar, Khyber Pakhtunkhwa, Pakistan" -"INRIA, Grenoble Rhône-Alpes Research Center, Paris, France",45.217886,5.807369,"655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France" -"University of California, at Berkeley",37.8718992,-122.2585399,"Berkeley, CA, USA" -"University of Johannesburg, Johannesburg, South Africa",-26.1887812,27.9964672,"Rossmore, Johannesburg, 2092, South Africa" -"Computer Science and Physics, University of Udine, Udine, Italy",46.0810723,13.2119474,"Università degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy" -"UC Irvine, Irvine, USA",33.6404952,-117.8442962,"Irvine, CA 92697, USA" -"The University of North Carolina at Chapel Hill, USA",35.9049122,-79.0469134,"Chapel Hill, NC, USA" -"Departement of Statistics, FSU, Tallahassee, FL 32306, USA",30.4440847,-84.3000397,"Tallahassee, FL 32304, USA" -"University of California, Berkeley, USA",37.8718992,-122.2585399,"Berkeley, CA, USA" -"Gwangju Institute of Science and Technology, Korea",35.2265288,126.839987,"123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea" -"Yangzhou University, Yangzhou, China",32.399078,119.389893,"Hanjiang, Yangzhou, Jiangsu, China" -"Bilgisayar Mühendisliği Bölümü, ˙Istanbul Teknik Üniversitesi",41.1055941,29.0253401,"Maslak, 34467 Sarıyer/İstanbul, Turkey" -"Intel Corporation & Portland State University, Hillsboro, OR, USA",45.55236,-122.9142988,"6397 NE Evergreen Pkwy, Hillsboro, OR 97124, USA" -"Laboratoire d'Informatique de l'Ecole Normale Supérieure (INRIA/ENS/CNRS UMR 8548), INRIA-Willow project, Ecole Normale Supérieure, Paris, France",48.66544709999999,6.1570239,"Institut National de Recherche en Informatique et en Automatique, 54600 Villers-lès-Nancy, France" -"University of the Basque Country UPV/EHU, San Sebastian, Spain",43.2933098,-1.9670727,"Alto de Zorroaga Bidea, s/n, 20014 Donostia, Gipuzkoa, Spain" -"University of Tübingen, Germany, 72076",48.5294782,9.043773999999999,"Geschwister-Scholl-Platz, 72074 Tübingen, Germany" -"Simula Research Laboratory, Oslo, Norway",59.89486239999999,10.6289345,"Martin Linges vei 25, 1364 Fornebu, Norway" -"Budapest University of Technology, -Budapest, Hungary",47.4813261,19.0554834,"Budapest, Műegyetem rkp. 3, 1111 Hungary" -"University of Tunis El Manar, Tunis, Tunisia",36.82930899999999,10.146268,"Université de Tunis El Manar, Campus Universitaire Farhat Hached, B.P. n° 94 - ROMMANA, Tunis 1068, Tunisia" -"Federal University of Piauí, Teresina, Brazil",-5.0586047,-42.7985212,"Campus Universitário Ministro Petrônio Portella, s/n - Ininga, Teresina - PI, 64049-550, Brazil" -"Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China",31.274822,120.738094,"Wuzhong, Suzhou, China, 215123" -"Desert Research Institute, Reno, USA",39.57202789999999,-119.8007119,"2215 Raggio Pkwy, Reno, NV 89512, USA" -"Beijing Institute of Technology, Beijing, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"Technische Universitat Muenchen, Garching bie Muenchen",48.2648053,11.6688601,"Boltzmannstraße 15, 85748 Garching bei München, Germany" -"Air Force Engineering University, Xi’an, China",34.273797,109.036171,"Baqiao, Xi'an, Shaanxi, China" -"Global Academy of Technology, Bangalore, Karnataka, India",12.926953,77.526579,"Ideal Homes Township, Mysore Rd, Aditya Layout, RR Nagar, Bengaluru, Karnataka 560098, India" -"Key Laboratory of Optoelectronic Technology and Systems, MOE Chongqing University Chongqing, China",29.56488,106.468097,"China, Chongqing Shi, Shapingba Qu, ChongQing DaXue, 沙正街174号" -"DIIn, University of Salerno, Fisciano (SA) - Italy",40.774409,14.789744,"Via Giovanni Paolo II, 132, Edificio E, 84084 Fisciano SA, Italy" -"Thales UK, Glasgow",55.8664858,-4.335827399999999,"1 Linthouse Rd, Glasgow G51 4BZ, UK" -"Sorbonne universités, Université de technologie de Compiègne, CNRS 7253 UMR/Heudiasyc. CS 60319, 60203 Compiègne cedex",49.4018764,2.7969906,"57 Avenue de Landshut, 60200 Compiègne, France" -"Institut Pascal - CNRS UMR6602 Université Blaise Pascal, Campus des Cézeaux, 63177 Aubière, France",45.7603549,3.1109163,"Campus Universitaire des Cézeaux, 4 Avenue Blaise Pascal, 63178 Aubière, France" -"Institute of Nationality Cultural Information and Technology, Dalian Nationalities University, Dalian, Liaoning Province, China",38.880381,121.529021,"China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, 凌工路2号 邮政编码: 116023" -"University of Otago, Dunedin, New Zealand",-45.8646835,170.5144227,"362 Leith St, North Dunedin, Dunedin 9016, New Zealand" -"NTT Software Innovation Center, Tokyo, Japan",35.6894875,139.6917064,"Tokyo, Japan" -"Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs",35.249087,33.02407600000001,"Kalkanlı, Güzelyurt" -"Technology Section, Israel National Police, Jerusalem, Israel",31.768319,35.21371,"Jerusalem, Israel" -"Xi’an Jiaotong-Liverpool University, Suzhou, People’s Republic of China",31.274822,120.738094,"Wuzhong, Suzhou, China, 215123" -"Union College Schenectady, NY 12308, USA",42.81771250000001,-73.9295987,"807 Union St, Schenectady, NY 12308, USA" -"Deanship of E-learning and Distance Education, Umm AL-Qura University, Mecca, Saudi Arabia",21.3298361,39.9488891,طريق الأمير سلطان بن عبد العزيز، Makkah Saudi Arabia -"Amrita Vishwa Vidyapeetham, Mysuru Campus, Karnataka, India",12.3021786,76.60464050000002,"#114,7th cross Bogadi 2nd stage, 114, Ring Rd, Bogadi 2nd Stage, Bogadi, Mysuru, Karnataka 570026, India" -"PSG College of Technology, Coimbatore, India",11.0246887,77.0021273,"Avinashi Rd, Peelamedu, Coimbatore, Tamil Nadu 641004, India" -"Caltech, Pasadena",34.1376576,-118.125269,"1200 E California Blvd, Pasadena, CA 91125, USA" -"Center for Advanced Studies in Identity Sciences, The University of North Carolina at Wilmington",34.2239869,-77.8701325,"601 S College Rd, Wilmington, NC 28403, USA" -"UniMAP, Perlis, Malaysia",6.4622347,100.1646294,"Jalan Wang Ulu Arau, Sg. Chuchuh, 01000 Kangar, Perlis, Malaysia" -"Incheon National University, Incheon, South Korea",37.3750548,126.6328998,"119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea" -"Huaiyin Normal University, Huai’an, China",33.599411,119.029348,"China, Jiangsu, Huai'an, Qinghe, 师院路" -"Beijing Laboratory of Intelligent Information Technology, Beijing Institute of Technology, Beijing, China",39.9924551,116.3499005,"Chengfu Rd, WuDaoKou, Haidian Qu, Beijing Shi, China, 100083" -Chinese Academy of Science,39.9106327,116.3356321,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China" -"Centre for Innovation in IT Services and Applications (iNEXT), University of Technology, Sydney, Australia",-33.8832376,151.2004942,"15 Broadway, Ultimo NSW 2007, Australia" -"Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan",37.8677088,138.9418977,"8050 Ikarashi 2 Nocho, Nishi Ward, Niigata, Niigata Prefecture 950-2181, Japan" -"Nanchang Hangkong University, Nanchang, China",28.656811,115.828837,"China, Jiangxi, Nanchang, Xinjian, 前湖大道" -"University of California, Riverside, CA-92521, USA",33.9756518,-117.3311106,"Riverside, CA 92521, USA" -"ICSI, UC Berkeley, USA",37.8701543,-122.2712312,"1947 Center St, Berkeley, CA 94704, USA" -"Neusoft Corporation, Shenyang 110179, China",41.703683,123.431867,"2 Xinxiu St, Hunnan Qu, Shenyang Shi, Liaoning Sheng, China, 110179" -"Visteon Corporation, Karlsruhe, Germany",48.9953351,8.4653309,"Amalienbadstraße 41a, 76227 Karlsruhe, Germany" -"Robotics and Mechatronics Center, German Aerospace Center (DLR), Germany",48.0834238,11.2756332,"Münchener Str. 20, 82234 Weßling, Germany" -"Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand",13.7269978,100.7763846,"3 Thanon Chalong Krung, Khwaeng Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand" -"Linköping University, Linköping, Sweden",58.3978364,15.5760072,"581 83 Linköping, Sweden" -"Institute of Computer Vision, Nanchang Hangkong University",28.656811,115.828837,"China, Jiangxi, Nanchang, Xinjian, 前湖大道" -"DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43 (FR) - Italy",41.471875,13.828328,"Viale dell'Università, 03043 Cassino FR, Italy" -"Institute of Clinical Physiology, IFC-CNR, Pisa, Italy",43.7184967,10.4230847,"Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy" -"Laboratory of Image Processing and Data Mining, Shahrood University of Technology, Shahrood, Iran",36.3934773,54.9417838,استان سمنان، شاهرود، خیابان دانشگاه، Iran -"Neyshabur Branch, Islamic Azad University Neyshabur, Iran",36.2515664,58.83325649999999,"Razavi Khorasan Province, Neyshabur, Some Rd, Iran" -"NTT Corporation, Atsugi, Japan",35.4404896,139.3156111,"3-1 Morinosatowakamiya, Atsugi, Kanagawa Prefecture 243-0124, Japan" -"Nanjing Xiao Zhuang University, Nanjing, People’s Republic of China",32.037095,118.752535,"41 Beiwei Rd, Jianye Qu, Nanjing Shi, Jiangsu Sheng, China, 210017" -"Image Processing & Data Mining Lab, Shahrood University of Technology, Shahrood, Iran",36.3934773,54.9417838,استان سمنان، شاهرود، خیابان دانشگاه، Iran -"Noah's Ark Laboratory, 2012Labs Huawei Technologies Co., Ltd., Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"CEDAR, Buffalo, USA",42.939673,-78.822949,"401 E Amherst St, Buffalo, NY 14215, USA" -"Universidad de Las Palmas de Gran Canaria, SIANI, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain",28.0804487,-15.4524838,"35017 Las Palmas de Gran Canaria, Las Palmas, Spain" -"Hunan city University, Yiyang, China",28.540055,112.387581,"Heshan, Yiyang, China" -"College of Mathematics & Information Science, Wenzhou University, Wenzhou, Zhejiang, China",28.00676,120.676186,"China, Zhejiang, Wenzhou, Lucheng, 民航路" -"DGIST, Daegu, Republic of Korea",35.705286,128.457102,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333" -"Don Bosco Institute of Technology, Kurla (W), Mumbai, India",19.0812532,72.8885961,"Premier Automobiles Road, Opp. HDIL Premier Exotica, Kurla (w), Mumbai, Maharashtra 400070, India" -"LRIT, Unité Associée au CNRST (URAC 29), Faculty of Sciences, Mohamed V-Agdal University, Rabat, Morocco",33.9702335,-6.874473,"Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.، Rabat 10102, Morocco" -"Guangdong University of Finance and Economics, Guangzhou, China",23.089479,113.356876,"21 Luntou Rd, Haizhu Qu, Guangzhou Shi, Guangdong Sheng, China" -"Queensland University of Technology (QUT), Australia",-27.477357,153.028415,"2 George St, Brisbane City QLD 4000, Australia" -"University of Norway, P.O. Box 114 Blindern, NO-0314, TromsØ, Norway",69.6492047,18.9553239,"Tromsø, Norway" -"Iran University of Science and Technology, Tehran, Iran",35.742474,51.5023103,"Tehran, Tehran Province, Iran" -"India Jadavpur University, Kolkata, India",22.4978411,88.3717181,"Jadavpur university gate 3, West Bengal 700032, India" -"North Carolina A&T State University, Greensboro, NC 27411, USA",36.0721142,-79.7744842,"120, Gibbs Hall, 1601 E Market St, Greensboro, NC 27411, United States" -"JiaYing University, Meizhou, China",24.325387,116.128732,"China, Guangdong, Meizhou, Meijiang, 梅松路100号" -"Elektrik ve Elektronik Müh. Böl., Dokuz Eylül Üniversitesi İzmir, TÜRKİYE",38.3699649,27.208244,"Kuruçeşme Mahallesi, DEÜ Kaynaklar Yerleşkesi No:22, 35390 Buca/İzmir, Turkey" -"Intelligent Vision Research Lab, Federal University of Bahia",-13.0024602,-38.50897519999999,"Av. Adhemar de Barros, s/nº - Ondina, Salvador - BA, 40170-110, Brazil" -"Technical University of Sofia, 8 blvd. Kliment Ohridski, Sofia 1756, Bulgaria",42.6570607,23.3551086,"bulevard ""Sveti Kliment Ohridski"" 8, 1756 Studentski Kompleks, Sofia, Bulgaria" -"Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea",35.705286,128.457102,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333" -"Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France",48.8471036,2.357499,"4 Place Jussieu, 75005 Paris, France" -"Laboratoire Hubert Curien, UMR CNRS 5516, Université de Lyon, Université Jean Monnet de Saint-Etienne, Saint-Etienne, France",45.424622,4.392984999999999,"10 Rue Tréfilerie, 42100 Saint-Étienne, France" -"Faculty of Science, Helwan University, Cairo, Egypt",29.8641877,31.317342,"عين حلوان، Al Masaken Al Iqtisadeyah, Qism Helwan, Cairo Governorate, Egypt" -"Indraprastha Apollo Hospital, Delhi, India",28.5411218,77.28303580000001,"Chennai - Delhi Highway, Mathura Rd, Sarita Vihar, New Delhi, Delhi 110076, India" -"P.P.G. Institute of Technology, Coimbatore, India",11.0900655,77.01843559999999,"209 Vilankurichi t - Sathy Road Road Villankurichi Saravanampatti P.O, Coimbatore, Tamil Nadu 641035, India" -"University of Ulsan, Korea",35.5437411,129.2562843,"93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea" -"ShanghaiTech University, Shanghai, China",31.202545,121.453086,"Yueyang Rd, Xuhui Qu, Shanghai Shi, China" -"Inha University, South Korea",37.4500221,126.653488,"100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea" -"Beijing Institute of Remote Sensing Information, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"Xi'an Jiaotong-Liverpool University, Suzhou, P.R. China, 215123",31.274822,120.738094,"Wuzhong, Suzhou, China, 215123" -"Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE",51.4032431,-0.3034882,"Penrhyn Rd, Kingston upon Thames KT1 2EE, UK" -"United States Air Force Research Laboratory, Dayton, OH",39.7908411,-84.0989758,"1864 4th St, Wright-Patterson AFB, OH 45433, USA" -"KIIT University, Bhubaneswar, Odisha, India",20.3547697,85.8152921,"KIIT Road, Patia, Bhubaneswar, Odisha 751024, India" -"Faculty of information and engineering institute, Yangzhou University, Yangzhou, People’s Republic of China",32.3393487,119.397041,"196 Huayang W Rd, Hanjiang Qu, Yangzhou Shi, Jiangsu Sheng, China" -"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210046, China",32.08025800000001,118.768159,"38 Guangdong Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028" -"Electronic Research Institute., Cairo, Egypt",30.1303607,31.3810254,"Joseph Tito St, Huckstep, Qism El-Nozha, Cairo Governorate, Egypt" -"GREYC, CNRS UMR 6072, Université de Caen",49.21489099999999,-0.368952,"Campus 2, Bâtiment F, 6 Boulevard Maréchal Juin, 14000 Caen, France" -"DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. colomboal@disco.unimib.it",45.52369239999999,9.2194907,"Viale Sarca, 336, 20125 Milano MI, Italy" -"Dpt. Matemàtiques i Informàtica, UIB, Ctra. Valldemossa Km. 7.5, 07122 Palma de Mallorca, Spain",39.641222,2.645559,"Carretera de Valldemossa, km 7.5, 07122 Palma, Illes Balears, Spain" -"INRIA Sophia Antipolis, STARS team, 2004 Route des Lucioles, BP93, 06902, France",43.6158131,7.068379999999999,"2004 Route des Lucioles, 06902 Valbonne, France" -"Virginia Tech, Blacksburg, USA",37.22838429999999,-80.42341669999999,"Blacksburg, VA 24061, USA" -"The DiVE, Durham, USA",36.0230544,-78.9524873,"1309 Christian Ave, Durham, NC 27705, USA" -"imec-IPI-Ghent University, Sint-Pietersnieuwstraat 41, 9000 Gent, Belgium",51.0465619,3.727918099999999,"St. Pietersnieuwstraat 33, 9000 Gent, Belgium" -"University of Brasilia, Brasília, Brazil",-15.7631573,-47.8706311,"Brasilia - Federal District, 70910-900, Brazil" -"Computer Aided Medical Procedures, Technische Universität München, Munich, Germany",48.263011,11.666857,"Boltzmannstraße 3, 85748 Garching bei München, Germany" -"Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France",45.7838596,4.7691899,"36 Avenue Guy de Collongue, 69134 Écully, France" -"Institute of Molecular Biology and Biophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland",47.409198,8.510917500000001,"HPK, Otto-Stern-Weg 5, 8093 Zürich, Switzerland" -"Jiangsu Automation Research Institute, Lianyungang, Jiangsu Province, 222061, China",34.607032,119.198973,"China, Jiangsu, Lianyungang, Xin Pu Qu, Hailian E Rd, 新墟公路42号" -"Biometric Laboratory, Research and Academic Computer Network (NASK), Wąwozowa 18, Warsaw, Poland",52.2511622,20.9756953,"Kolska 12, 01-045 Warszawa, Poland" -"Laboratory for Pattern Recognition and Computational Intelligence, University of Applied Sciences Aschaffenburg, Germany",49.9806625,9.135555400000001,"Aschaffenburg, Germany" -Carnegie Mellon University (USA),40.4428081,-79.94301279999999,"5000 Forbes Ave, Pittsburgh, PA 15213, USA" -"ECE/UPATRAS, Patras, Greece",38.2883356,21.7886487,"Panepistimioupoli Patron 265 04, Greece" -"Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand",14.068891,100.6074577,"Phahonyothin Rd, Tambon Khlong Nung, Amphoe Khlong Luang, Chang Wat Pathum Thani 12120, Thailand" -"University of Tübingen, Tübingen, Germany",48.5294782,9.043773999999999,"Geschwister-Scholl-Platz, 72074 Tübingen, Germany" -"Systems Research Institute, Polish Academy of Sciences, 6 Newelska Street, 01-447 Warsaw, Poland",52.24588499999999,20.94025,"Newelska 6, 01-001 Warszawa, Poland" -"Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.",54.581827,-5.9374652,"18 Malone Rd, Belfast BT9 6RT, UK" -"Centers of Excellence in Science and Applied Technologies, Islamabad, Pakistan",33.6844202,73.04788479999999,"Islamabad, Islamabad Capital Territory, Pakistan" -"CVC and C. Sc. Dpt. UAB, Barcelona, Spain",41.5019255,2.1048538,"Campus de la UAB, Plaça Cívica, 08193 Bellaterra, Barcelona, Spain" -"Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes, EA 4108, Institut National des Sciences Appliquées, Rouen, France",49.44323199999999,1.099971,"Rouen, France" -"Queen's University, Belfast, UK",54.5844087,-5.9340493,"University Rd, Belfast BT7 1NN, UK" -"LISA - ISTIA, University of Angers, Angers, France",47.4805797,-0.5923984,"62 Avenue de Notre Dame du Lac, 49000 Angers, France" -Pontifical Catholic University of Rio de Janeiro,-22.9791074,-43.23308249999999,"R. Marquês de São Vicente, 225 - Gávea, Rio de Janeiro - RJ, 22451-900, Brazil" -"Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing, China",40.004439,116.385257,"Olympic Village, Chaoyang, China" -"MIRACL Laboratory, Higher Institute of Management Gabes, Sfax university - Gabes university, Tunisia",33.8533725,10.1018956,"Avenue Omar Ibn El Khattab, Zrig Eddakhlania, Tunisia" -"National Institute of Advanced Industrial Science Technology, Japan",36.0614634,140.1338907,"1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan" -"Thales Land and Air Systems, Élancourt, France",48.7899267,1.9781835,"2 Avenue Jean d'Alembert, 78190 Trappes, France" -NPU,37.4776832,-121.9258439,"47671 Westinghouse Dr, Fremont, CA 94539, USA" -"Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, India",22.5551808,88.3071379,"P.O. - Botanic Garden, Howrah, West Bengal 711103, India" -"IA, CAS, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"Environment Perception, Daimler AG, Sindelfingen, Germany",48.7074558,9.0044053,"Sindelfingen, Germany" -"The University of Iowa, 52242, USA",41.659363,-91.54870989999999,"Iowa City, IA 52242, USA" -"Universidade NOVA de Lisboa, Caparica, Portugal",38.660964,-9.205813,"Calçada de Alfazina 2, 2825-149 Caparica, Portugal" -"SATIE, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 94235 Cachan, France",48.78871909999999,2.3272147,"61 Avenue du Président Wilson, 94230 Cachan, France" -"Automotive Processor, Texas Instruments Incorporated, Bangalore, India",12.9791531,77.65963339999999,"No. 66/3, Bagmane Tech Park, Adjacent to LRDE Byrasandra, C V Raman Nagar Post, Bengaluru, Karnataka 560093, India" -Hewlett Packard Labs,37.3860784,-121.9877807,"560 Oakmead Pkwy, Sunnyvale, CA 94085, USA" -"Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional del Comahue. Buenos Aires 1400, Neuquén CP 8300, Argentina",-38.9405678,-68.0564554,"Buenos Aires 1400, Q8300 Neuquén, Argentina" -"University of Udine, Via Delle Scienze, 206, 33100, Udine, Italy",46.0810723,13.2119474,"Università degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy" -"St. Pölten Univ. of Applied Sciences, St. Pölten, Austria",48.2138999,15.6318955,"Matthias Corvinus-Straße 15, 3100 St. Pölten, Austria" -"Univ. of Minnesota, Mpls, MN, 55455, USA",44.97399,-93.2277285,"Minneapolis, MN 55455, USA" -"Nanjing University of Aeronautics & Astronautics, 210016, China",32.034109,118.823419,"29 Yudao St, Qinhuai Qu, Nanjing Shi, Jiangsu Sheng, China, 210007" -"College of Computing and Information Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt",30.0818516,31.0168793,"طريق الأسكندريه الصحراوي EG، Alexandria Desert Rd, Egypt" -University of Mainz,49.9926403,8.241555199999999,"Saarstraße 21, 55122 Mainz, Germany" -"Kumamoto Univ., Kumamoto",32.8140382,130.7278725,"Japan, 〒860-8555 Kumamoto Prefecture, Kumamoto, Chuo Ward, Kurokami, 2丁目39番1号" -"Bahçeşehir University, Istanbul, Turkey",41.2053107,29.0724578,"Rumelifeneri Mahallesi, Sarıyer Rumeli Feneri Yolu, 34450 Sarıyer/İstanbul, Turkey" -"College of Engineering, Center of Engineering Technology, Graduate University of the Chinese Academy of Sciences, Beijing, China",39.98177,116.330086,"China, Beijing, Haidian, Zhongguancun South 1st Alley, 中关村南一条" -"Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece",40.5667611,22.9980147,"Thermi 570 01, Greece" -"Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK",53.7924523,-1.7656617,"Richmond Rd, Bradford BD7 1DP, UK" -TU Darmstadt,49.8748277,8.6563281,"Karolinenpl. 5, 64289 Darmstadt, Germany" -"Institute of Deep Learning, Baidu, Inc., Beijing, 100085, China",40.0702281,116.3508263,"Changping, Beijing, China, 100085" -"Institute of Psychology, Heidelberg University, Heidelberg, Germany",49.4109266,8.697952899999999,"Hauptstraße 47-51, 69117 Heidelberg, Germany" -"Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy",40.7240176,8.5578947,"Viale Pasquale Stanislao Mancini, 5, 07100 Sassari SS, Italy" -"Newark, DE, U.S.A.",39.6837226,-75.74965720000002,"Newark, DE, USA" -"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciencse, Beijing, China",39.9863246,116.325953,"19 N 4th Ring Rd W, Haidian Qu, Beijing Shi, China" -Arizona State University. hliu@asu.edu,34.0489281,-111.0937311,"Arizona, USA" -"Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, U.K.",54.61403199999999,-5.900431,"Belfast BT3 9DT, UK" -"Technical center for the Mechanical Industry (CETIM), France",49.205163,2.607743,"52 Avenue Félix Louat, 60300 Senlis, France" -"BMS College of Engineering, Bangalore, INDIA",12.9410122,77.5655258,"Bull Temple Road, Basavanagudi, Bengaluru, Karnataka 560019, India" -"Radboud University Nijmegen, Nijmegen, The Netherlands",51.81670099999999,5.865272,"Houtlaan 4, 6525 XZ Nijmegen, Netherlands" -"Sungkyul University, Korea",35.907757,127.766922,South Korea -"IBM Research T. J. Watson Center, U.S.A",41.2097516,-73.8026467,"1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA" -"College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, China",37.4623077,118.5005322,"Jinan Rd, Dongying Qu, Dongying Shi, Shandong Sheng, China, 257000" -"Multimedia Communications Laboratory, University of Information Technology VNU-HCM, Ho Chi Minh City Vietnam",10.8703,106.8034513,"Khu phố 6 P, Vietnam" -"S. S. College of Business Studies, University of Delhi, Delhi, India",28.7328568,77.1188252,"Dr. K.N. Katju Marg Rohini Sector 16, PSP Area IV, New Delhi, Delhi 110089, India" -k,37.09024,-95.712891,"Independence, KS 67301, USA" -"Hebei University of Technology, Tianjin, China",39.179635,117.165882,"8 Dingzigu 1st Rd, Hongqiao Qu, China, 300131" -"Seoul National University of Technology, 139-143, Seoul, Korea",37.6316684,127.0774813,"232 Gongneung-ro, Gongneung-dong, Nowon-gu, Seoul, South Korea" -"Computer Science and Physics, University of Udine, Udine, Italy",46.0810723,13.2119474,"Università degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy" -"K S Institute of Technology, Bangalore, Karnataka, India",12.879411,77.5443311,"14, Kanakapura Main Road, Municipal Corporation Layout, Raghuvanahalli, Bengaluru, Karnataka 560062, India" -"University of California at Merced, Merced, CA, USA",37.3641651,-120.4254615,"5200 Lake Rd, Merced, CA 95343, USA" -"CNRS-LTCI, GET-ENST, 46 rue Barrault, 75013 Paris, France",48.8476037,2.2639934,"3 Rue Michel Ange, 75016 Paris, France" -"Beijing Technology and Business University, Beijing, China",39.720361,116.170043,"Fangshan, China, 102400" -"University of Souk-Ahras, Souk-Ahras, Algeria",36.298694,7.925920799999999,"Souk Ahras, Algeria" -"LIASD research Lab., University of Paris 8, Saint-Denis, France",48.9449133,2.3635056,"2 Rue de la Liberté, 93526 Saint-Denis, France" -"Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia",-35.4014167,148.9816261,"421 Discovery Dr, Paddys River ACT 2620, Australia" -"Yarmouk University, Jordan",32.5377564,35.8553184,"Shafiq Irshidat st، Irbid, Jordan" -"Faculty of Mathematics and Computer Science, Babeş-Bolyai University, 400084, Cluj-Napoca, Romania",46.7677955,23.5912762,"Strada Universității 7-9, Cluj-Napoca 400084, Romania" -"University of Modena and Reggio Emilia 41125, Modena, Italy",44.6451046,10.9279268,"Via Università, 4, 41121 Modena MO, Italy" -"Alexandria High Institute for Engineering & Technology, Egypt",31.2211342,29.95009199999999,"Mohammed Abou Al Fatoh Hasab, SEMOUHA، Qism Sidi Gabir, Alexandria Governorate 21311, Egypt" -"Computer Institute, Federal University of Alagoas, Maceió - AL, Brazil",-9.6498487,-35.7089492,"Maceió - Jardim da Saúde, Maceió - State of Alagoas, Brazil" -"NOAA /NGDC, 325 Broadway, Boulder, CO 80305",39.9916659,-105.2612294,"325 Broadway, Boulder, CO 80305, USA" -"Biomedical Engineering Centre, Chiang Mai University, Chiang Mai, Thailand",18.8043949,98.9548123,"239 Huaykaew Rd, Tambon Su Thep, Amphoe Mueang Chiang Mai, Chang Wat Chiang Mai 50200, Thailand" -"Bu-Ali Sina University. Hamedan, Iran",34.7921752,48.4883521,"District 2, Hamedan, Iran" -"Artificial Intelligence Institute, Zhejiang University Hangzhou, China",30.263944,120.123279,"38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027" -"Laboratoire d'Informatique de l'Ecole Normale Supérieure (INRIA/ENS/CNRS UMR 8548), INRIA-Willow project, Ecole Normale Supérieure, Paris, France",48.66544709999999,6.1570239,"Institut National de Recherche en Informatique et en Automatique, 54600 Villers-lès-Nancy, France" -"Technical University of Munich, Munich, Germany",48.14966,11.5678602,"Arcisstraße 21, 80333 München, Germany" -"Academy of Broadcasting Science, Beijing, P.R. China, 100866",40.004439,116.385257,"Olympic Village, Chaoyang, China" -"LEMCO (INRETS), 14 route de la minière, building 824, 78000 Versailles - Satory, France",48.78243,2.101919,"building 824, 14 Route de la Minière, 78000 Versailles, France" -"The Graduate Center, CUNY, New York, NY, USA",40.748449,-73.9834916,"365 5th Ave, New York, NY 10016, USA" -"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China 100190",39.979456,116.3284567,"China, Beijing, Haidian, Zhongguancun South 3rd St, 中关村" -"Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY, USA",43.2029181,-77.62933269999999,"1422 Lake Ave, Rochester, NY 14615, USA" -"University of Thessaly, Lamia, Greece",39.3576754,22.9506205,"Αργοναυτών και, Filellinon, Volos 382 21, Greece" -"ModiFace Inc., Toronto, Canada",43.6683241,-79.3904914,"7 St Thomas St #502, Toronto, ON M5S 2B7, Canada" -"Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K.",51.7414737,0.4741948,"Bishop Hall Ln, Chelmsford CM1 1SQ, UK" -"Science Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan",34.7321121,135.7328585,"8916番地−5 Takayamacho, Ikoma, Nara Prefecture 630-0192, Japan" -"Civolution Technology, Eindhoven, The Netherlands",51.41037,5.4508187,"High Tech Campus 9, 5656 AE Eindhoven, Netherlands" -"Istituto Italiano di Tecnologia (IIT), Genova, Italy",44.47493739999999,8.9062287,"Via Morego, 30, 16163 Genova GE, Italy" -"Faculty of Electronic Engineering, Taishan University, Tai’an, China",36.13220020000001,117.1022833,"Changcheng Rd, Daiyue Qu, Taian Shi, Shandong Sheng, China" -"Kyushu Institute of Technology, Japan",33.8941968,130.8394083,"1-1 仙水町 戸畑区 北九州市 福岡県 804-8550, Japan" -"Education and Cultural Studies (COSPECS) University of Messina, Messina, Italy",38.19937220000001,15.5561846,"Via Concezione, 6/8, 98121 Messina ME, Italy" -"M S Ramaiah University of Applied Sciences, Bangalore, India",13.02909,77.569861,"University House, New BEL Rd, M S R Nagar, Gnanagangothri Campus, Bengaluru, Karnataka 560054, India" -"CVPR Unit, Indian Statistical Institute, Kolkata 700108, India",22.6481521,88.376817,"Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India" -"Control Syst. Centre, UMIST, Manchester, UK",53.4668498,-2.2338837,"Oxford Rd, Manchester M13 9PL, UK" -"KTH - Royal Institute of Technology, Stockholm, Sweden",59.34980649999999,18.0706646,"Brinellvägen 8, 114 28 Stockholm, Sweden" -"DFKI and Technical University - Kaiserslautern, Kaiserslautern, Germany",49.4253774,7.755549599999999,"Erwin-Schrödinger-Straße 1, 67663 Kaiserslautern, Germany" -"LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061071, Romania",44.4267674,26.1025384,"Bucharest, Romania" -"Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro No.1, Tonantzintla, Puebla, México. CP 72840",19.0323107,-98.31537019999999,"Luis Enrique Erro 1, Sta María Tonanzintla, 72840 Puebla, Pue., Mexico" -"FZI Research Center for Information Technology, Mobile Perception Systems, Karlsruhe, 76131, Germany",49.0116951,8.4303821,"76131 Karlsruhe, Germany" -"Xerox Research Center in Webster, NY 14580, USA",43.2226672,-77.4179104,"Webster, NY 14580, USA" -"MET's Institute of Engineering, Nashik",20.0405998,73.8495308,"Bhujbal Knowledge City, Adgaon, Nashik, Maharashtra 422207, India" -"University of Padua, Italy. enrico.grisan@unipd.it",45.406766,11.8774462,"Via 8 Febbraio 1848, 2, 35122 Padova PD, Italy" -"Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain",40.4761901,-3.6929246,"Calle de Melchor Fernández Almagro, 3, 28029 Madrid, Spain" -"Foundation for Research and Technology - Hellas, FORTH, Crete, Greece",35.305135,25.072592,"N., Leof. Plastira 100, Iraklio 700 13, Greece" -"St Joseph Engineering College, Vamanjoor, Mangaluru",12.9105253,74.8986342,"SJEC Main Rd Near, St. Joseph Workers Church, Vamanjoor, Mangaluru, Karnataka 575028, India" -"Agency for Defense Development, Korea",37.4934676,127.1405221,"산25 Geoyeo-dong, Songpa-gu, Seoul, South Korea" -"Faculty of Information Technology, University of Moratuwa",6.7970862,79.9019094,"Faculty of Information Technology, University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka" -"Advanced Digital Science Center, Singapore",1.3037257,103.7737763,"1 Create Way, 14-02 Create Tower, Singapore 138602" -"College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China",18.308063,109.535136,"Jiyang, Sanya, China" -"Università degli Studi di Firenze, Firenze, Italy",43.7776426,11.259765,"Piazza di San Marco, 4, 50121 Firenze FI, Italy" -"I-TEAM, Universidad Politécnica de Valencia, Valencia, Spain",39.478444,-0.3337545,"Camí de Vera, s/n Edificio 8G, Planta 4ª, 46022 València, Spain" -"National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China, 100190",39.979203,116.33287,"China, Beijing, Haidian, 中关村东路95号" -"Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda, Turkey",52.2393971,6.850870899999999,"5, Drienerlolaan, 7522 NB Enschede, Netherlands" -"International Islamic University, Islamabad, Pakistan",33.6593237,73.023753,"H-10, Islamabad, Islamabad Capital Territory 44000, Pakistan" -"Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China",38.865906,121.529012,"China, Liaoning Sheng, Dalian Shi, Ganjingzi Qu, 海校街" -"Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain",41.406498,2.1945432,"Rambla del Poblenou, 156, 08018 Barcelona, Spain" -"Nanotechnology and Integrated Bio-Engineering Centre (NIBEC), Faculty of Computing and Engineering, University of Ulster (Jordanstown campus), Northern Ireland",54.6874769,-5.8787753,"University of Ulster, NIBEC, Newtownabbey BT37 0FL, UK" -"China University of Geosciences Wuhan, China",30.527151,114.400762,"388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -University of Alabama,33.2140233,-87.5391418,"Tuscaloosa, AL 35487, USA" -"Beijing Institute of Technology, Beijing, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, AP, India, 518001",15.5042936,78.37750249999999,"Nerawada 'X' Roads, Kurnool District, Nandyal, Andhra Pradesh 518501, India" -"University Alcalá, Madrid, Spain",40.4824722,-3.3628674,"Plaza de San Diego, s/n, 28801 Alcalá de Henares, Madrid, Spain" -"SSN College of Engineering, Chennai, India",12.7508651,80.19727019999999,"Old Mahabalipuram Rd, Kalavakkam, Tamil Nadu 603110, India" -"Fuzhou University, Fuzhou, P.R. China",26.0818505,119.2865017,"Xueyuan Rd, LiMing ShangQuan, Gulou Qu, Fuzhou Shi, Fujian Sheng, China, 350001" -"University of Gadjah Mada, Indonesia",-7.7713847,110.3774998,"Bulaksumur, Caturtunggal, Kec. Depok, Kabupaten Sleman, Daerah Istimewa Yogyakarta 55281, Indonesia" -"Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria",47.070714,15.439504,"Graz, Austria" -"Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye",41.03790739999999,28.9921237,"İnönü Caddesi, No. 65, Gümüşsuyu, 34437 Beyoğlu/İstanbul, Turkey" -"Institute of Life Sciences, Shandong Normal University, Jinan, China",36.652703,117.042083,"88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014" -"Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil",-22.9791074,-43.23308249999999,"R. Marquês de São Vicente, 225 - Gávea, Rio de Janeiro - RJ, 22451-900, Brazil" -"Leiden University, Leiden, The Netherlands",52.1571485,4.485209,"Rapenburg 70, 2311 EZ Leiden, Netherlands" -"Volvo Construction Equipment, Göthenburg, Sweden",57.7172004,11.9218558,"Gropegårdsgatan 11, 417 15 Göteborg, Sweden" -"Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA 02139",42.366183,-71.092455,"201 Broadway, Cambridge, MA 02139, USA" -"Samsung Research Institute China-Beijing (SRC-Beijing), Beijing, China",39.9076782,116.4633809,"118 Jianguo Rd, JianWai DaJie, Chaoyang Qu, Beijing Shi, China" -"Shenzhen Academy of Robotics, Shenzhen, Guangdong, China",22.543096,114.057865,"Shenzhen, Guangdong, China" -"Center for Artificial Intelligence and Robotics (CAIRO), Aswan University, Egypt",30.0444196,31.2357116,"Cairo, Cairo Governorate, Egypt" -"Chang’an University, Xi’an, China",34.231185,108.956646,"China, Shaanxi, Xi'an, Beilin, 2nd Ring Rd South East Section, 南二环路中段" -"Sunway University, Selangor, Malaysia",3.0669114,101.6036003,"5, Jalan Universiti, Bandar Sunway,, Bandar Sunway, 47500 Petaling Jaya, Selangor, Malaysia" -"DFKI GmbH, Kaiserslautern, Germany",49.4295181,7.7513891,"Trippstadter Str. 122, 67663 Kaiserslautern, Germany" -"University of Science and Technology Beijing, Beijing, China",39.989458,116.356945,"30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083" -"Modeling of Systems And Internet Communication, University of Antwerp - iMinds, Antwerp, Belgium",51.2228097,4.4102318,"Prinsstraat 13, 2000 Antwerpen, Belgium" -"Siemens Corporate Research, Plainsboro, USA",40.3442079,-74.5924599,"755 College Rd E, Princeton, NJ 08540, USA" -"The University of Texas MD Anderson Cancer Center, Houston, 77030, USA",29.7073893,-95.398372,"1515 Holcombe Blvd, Houston, TX 77030, USA" -"Lahore, Pakistan",31.5203696,74.35874729999999,"Lahore, Punjab, Pakistan" -"Signal Processing Group, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Cluj-Napoca, Cluj-Napoca, 400114, Romania",46.77228789999999,23.585246,"Strada George Barițiu 26-28, Cluj-Napoca 400027, Romania" -"Hong Kong Hong Kong, China",22.396428,114.109497,Hong Kong -"University of California, Davis, CA, 95616",38.5382322,-121.7617125,"1 Shields Ave, Davis, CA 95616, USA" -"the Crash Safety Research Center, LLC, East Hampton, CT, USA",41.5681118,-72.532066,"201 W High St, East Hampton, CT 06424, USA" -"Zhejiang Univ., Hangzhou, China",30.263944,120.123279,"38 Zheda Rd, Xihu Qu, Hangzhou Shi, Zhejiang Sheng, China, 310027" -"JNTU College of Engineering, Kakinada, India",16.9814788,82.2407284,"Jawaharlal Nehru Technological University, Kakinada, Andhra Pradesh 533003, India" -"Innovation and Enterprise, Singapore Polytechnic, Singapore 139651",1.3098768,103.7775006,"500 Dover Rd, Singapore 139651" -"Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China, 100081",39.98902,116.510771,"China, Beijing, Chaoyang, 草场地" -"University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy",45.518383,9.213452,"Edificio U6, Università degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy" -"University of Science, Vietnam",10.762913,106.6821717,"227 Đường Nguyễn Văn Cừ, Phường 4, Quận 5, Hồ Chí Minh, Vietnam" -"National Institute of Technology, Karnataka, Surathkal",13.0108387,74.7943104,"NH 66, Srinivas Nagar, Surathkal, Mangaluru, Karnataka 575025, India" -"Qilu University of Technology, Jinan, China",36.555493,116.811621,"3501 Daxue Rd, Changqing Qu, Jinan Shi, Shandong Sheng, China, 250000" -"West Virginia University Institute of Technology, Montgomery, USA",37.7759222,-81.1840129,"512 S Kanawha St, Beckley, WV 25801, USA" -"Glasgow Caledonian University, Glasgow, U.K.",55.8668183,-4.249960199999999,"Cowcaddens Rd, Glasgow G4 0BA, UK" -"CIEM-CONICET, FaMAF, Universidad Nacional de Córdoba, Córdoba, Argentina",-31.4381934,-64.19342069999999,"Facultad de Matemática, Astronomía y Física, Medina Allende Piso 3, X5000HUA Córdoba, Argentina" -"Coimbra, Portugal",40.2033145,-8.4102573,"Coimbra, Portugal" -"Indian Institute of Technology Roorkee, Roorkee, India",29.8648599,77.89657869999999,"Roorkee - Haridwar Highway, Roorkee, Uttarakhand 247667, India" -"Nagoya, Japan",35.1814464,136.906398,"Nagoya, Aichi Prefecture, Japan" -"Nanyang Technological University 639798, Singapore",1.344233,103.680142,Singapore 639798 -UAE,23.424076,53.847818,United Arab Emirates -"Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, 430073, China",30.5020376,114.3901822,"693 Xiongchu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -University of Verona,45.43739799999999,11.003376,"Via S. Francesco, 22, 37129 Verona VR, Italy" -"Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Modena, Modena, Italy",44.6291847,10.9487978,"Via P. Vivarelli, 10, 41125 Modena MO, Italy" -"College of Information Engineering China Jiliang University, HangZhou, China 310018",30.318764,120.363977,"China, Zhejiang Sheng, Hangzhou Shi, Jianggan Qu, XiaSha, Xueyuan St, 258号下沙开发区 邮政编码: 310018" -"Elektrik-Elektronik Mühendisliği Dicle Üniversitesi Diyarbakir, Türkiye",37.9203042,40.2658239,"Dicle Üniversitesi Rektörlüğü, 21280 Sur/Diyarbakır, Turkey" -Florida Institute of Technology,28.0646888,-80.62302199999999,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA" -"National Kaohsiung, University of Applied Sciences, Kaohsiung, Taiwan. jspan@cc.kuas.edu.tw",22.6489458,120.3283157,"No. 415號, Jiangong Road, Sanmin District, Kaohsiung City, Taiwan 807" -Shenzhen Institute of Advanced Technology,22.721471,114.215482,"Tengfei Rd, LongGang ZhongXin Cheng, Longgang Qu, Shenzhen Shi, Guangdong Sheng, China, 518172" -"Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Moscow, Russia",55.649567,37.6638742,"Kashira Highway, 31, Moskva, Russia, 115409" -"University of Alicante, Alicante, Spain",38.3852446,-0.5143160999999999,"Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain" -"Univ. at Buffalo, SUNY, USA",43.0008093,-78.7889697,"Buffalo, NY 14260, USA" -"Research Center for Information Technology Innovation, Taipei, Taiwan",25.0419819,121.6154552,"115, Taiwan, Taipei City, Nangang District, 研究院路二段128號" -"The University of Waikato, Knighton Road, Hamilton, New Zealand",-37.7868611,175.3184579,"Hillcrest, Hamilton 3216, New Zealand" -"THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; joseph.colineau@thalesgroup.com",48.7147274,2.2027089,"Route Départementale, 91120 Palaiseau, France" -"College of Command Information Systems, PLA University of Science & Technology, Nanjing, China",31.97090699999999,118.8128989,"China, 双龙街60号" -"Beijing Key Lab of Intelligent Information Technology, Beijing Institute of Technology, Beijing 100081, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"Jawaharlal Nehru University, New Delhi, India",28.540214,77.1661949,"New Mehrauli Road, Delhi 110067, India" -"Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore",1.3037257,103.7737763,"1 Create Way, 14-02 Create Tower, Singapore 138602" -China,35.86166,104.195397,China -"Institut de Robòtica i Informàtica Industrial, C. Llorens i Artigas 4-6, 08028, Barcelona, Spain",41.382955,2.1157382,"C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain" -University of Southern California and USC Institute for Creative Technologies,33.9832526,-118.40417,"12015 E Waterfront Dr, Los Angeles, CA 90094, USA" -"Honda Research Insitute, USA",39.9980005,-83.0457223,"1381 Kinnear Rd, Columbus, OH 43212, USA" -"CEDRIC, Conservatoire National des Arts et Métiers, Paris, France",48.8700875,2.3563871,"32 Rue du Faubourg Saint-Martin, 75010 Paris, France" -"PSYEC, India",9.8489834,78.3457361,"Arasanoor, Thirumansolai Post, Sivaganga Dist., Sivaganga, Tamil Nadu 630561, India" -"University of Athens, Athens, Greece",37.968196,23.7786871,"Athens 157 72, Greece" -"MPSTM, NMIMS University, Mumbai",19.1098833,72.837543,"Bhakthi Vendanth Swami Marg, Near Cooper Hospital, JVPD Scheme, Vile Parle West, Mumbai, Maharashtra 400056, India" -"Politeknik Elektronika Negeri Surabaya, Indonesia",-7.276595,112.7938575,"Kampus ITS, Jl. Raya ITS, Keputih, Sukolilo, Kota SBY, Jawa Timur 60111, Indonesia" -"Computer Science & Engineering, PEC University of Technology, Chandigarh, India",30.7677309,76.78515829999999,"6, Vidya Path, Sector 12, Chandigarh, Punjab 160012, India" -"Pontifícia Universidade Católica do Rio Grande do Sul, Brazil",-30.0593446,-51.1734912,"Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil" -"Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran",35.7040861,51.40916929999999,"استان تهران تهران منطقه ۶ استان تهران،، Rasht St, Iran" -"University of Bochum, Institute for Neural Computation",51.44566589999999,7.261609300000001,"Universitätsstraße 150, 44801 Bochum, Germany" -"Computer Vision and Machine Learning Research Group, University of Central Lancashire, Preston, UK",53.7641378,-2.7092453,"Fylde Rd, Preston PR1 2HE, UK" -"Computer and Electrical Engineering, Sweden",57.70636020000001,11.9381927,"Hypotesgatan, 417 56 Göteborg, Sweden" -"Subex Azure Limited, Bangalore, India",12.92562,77.68781299999999,"RMZ Ecoworld, Outer Ring Rd, Devarabisanahalli, Bengaluru, Karnataka 560103, India" -"PARC, a Xerox Company, Webster, NY, USA",43.2239882,-77.4170946,"800 Phillips Rd, Webster, NY 14580, USA" -"IIT Roorkee, Roorkee, India",29.8648599,77.89657869999999,"Roorkee - Haridwar Highway, Roorkee, Uttarakhand 247667, India" -"Freie Universität Berlin, Germany",52.4525264,13.2896787,"Kaiserswerther Str. 16-18, 14195 Berlin, Germany" -"Washington University in St Louis, USA",38.6487895,-90.31079620000001,"1 Brookings Dr, St. Louis, MO 63130, USA" -"Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine",50.014791,36.2284908,"Nauky Ave, 14, Kharkiv, Kharkivs'ka oblast, Ukraine, 61000" -"Graduate Program of Multimedia Systems and Intelligent Computing, National Cheng Kung University and Academia Sinica, Tainan, Taiwan",22.9988416,120.2195148,"No. 1號, Dasyue Rd, East District, Tainan City, Taiwan 701" -"SDM, Dharwad, India",15.4178512,75.0407738,"Hubli - Dharwad Highway, Sattur, Hubali-Dharwad, Karnataka 580009, India" -"University of Beira Interior, Covilhã, Portugal",40.277859,-7.508983,"Universidade da Beira Interior, R. Marquês de Ávila e Bolama, 6201-001 Covilhã, Portugal" -"Hubei University, Wuhan, China",30.5604645,114.3174596,"118 Youyi Ave, Wuchang Qu, Wuhan Shi, Hubei Sheng, China, 430072" -"University of Sassari, Viale Mancini 5, 07100 Sassari, Italy",40.7239477,8.5578618,"Via Mancini, 5, 07100 Sassari SS, Italy" -"CBSR&NLPR. Institute of Automation Chinese Academy of Sciences., Beijing, 100190, China",39.979456,116.3284567,"China, Beijing, Haidian, Zhongguancun South 3rd St, 中关村" -"Carnegie Mellon University and INRIA/Ecole Normale Supérieure, Paris",48.8422058,2.3451689,"45 Rue d'Ulm, 75005 Paris, France" -"College of Computer Science and Information Tech., Sudan University of Science and Technology, Sudan",15.5992996,32.5129049,"Khartoum, Sudan" -"Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan, +81 25 262 7499",37.8677088,138.9418977,"8050 Ikarashi 2 Nocho, Nishi Ward, Niigata, Niigata Prefecture 950-2181, Japan" -Max Planck Institute of Informatics and Saarland University,49.2578657,7.0457956,"Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbrücken, Germany" -"Visual Computing Group, Microsoft Research Asia, Beijing, China. i-dezhao@microsoft.com",39.90419989999999,116.4073963,"Beijing, China" -"ICMC/USP Sao Carlos, Brazil",-22.0070347,-47.8949323,"Av. Trab. São Carlense, 400 - Centro, São Carlos - SP, 13566-590, Brazil" -"Kusatsu, Japan",36.6207784,138.5960529,"Kusatsu, Agatsuma District, Gunma Prefecture, Japan" -"The University of Auckland, New Zealand",-36.8523378,174.7691073,"Auckland 1010, New Zealand" -"Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)",42.36194070000001,-71.0904378,"32 Vassar St, Cambridge, MA 02139, USA" -"Machine Perception Laboratory, University of California, San Diego, La Jolla, 92093, USA",32.8800604,-117.2340135,"9500 Gilman Dr, La Jolla, CA 92093, USA" -"Xi'an University of Technology, China",34.251836,108.993218,"China, Shaanxi, Xi'an, Beilin, Jinhua S Rd, 金花南路5号 邮编 710048" -"Harvard Medical School and Brigham and Women's Hospital, Boston, USA",42.3359248,-71.1066945,"75 Francis St, Boston, MA 02115, USA" -"Federal Urdu University of Arts, Science and Technology, Karachi, Pakistan",24.9112095,67.0893753,"University Rd, Block 9 Gulshan-e-Iqbal, Karachi, Karachi City, Sindh, Pakistan" -"Technical University of Crete, Chania Crete",35.529893,24.068491,"Chania 736 00, Greece" -"taglicht media Film- & Fernsehproduktion GmbH, Köln, Germany",50.9075092,6.9661659,"Cäsarstraße 58, 50968 Köln, Germany" -"Ghent University and Vrije Universiteit Brussel, Belgium",50.821658,4.394886,"Boulevard de la Plaine 2, 1050 Ixelles, Belgium" -"The University of Sheffield Mappin Street, Sheffield, S1 3JD, UK",53.381821,-1.4774426,"Mappin St, Sheffield S1 3JD, UK" -"Technion - Israel Institute of Technology, Haifa",32.7767783,35.0231271,"Haifa, 3200003, Israel" -"Berger Levrault, Labege, France",43.5414177,1.5121037,"64 Rue Jean Rostand, 31670 Labège, France" -"Institute for Infocomm Research, Singapore",1.2988926,103.7873107,"1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" -"National Institute of Technology Silchar, India",24.7577144,92.79229289999999,"NIT Road, Fakiratilla, Silchar, Assam 788010, India" -"POSTECH, Pohang, Korea",36.0138857,129.3231836,"77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea" -"Advanced Telecommunication Research Institute International, Kyoto, Japan",35.0116363,135.7680294,"Kyoto, Kyoto Prefecture, Japan" -"University of Tunis, Laboratory of Signal Image and Energy Mastery, LR13ES03 (SIME), Tunis, Tunisia",36.7938853,10.1627324,"Boulevard du 9 Avril 1938, Tunis, Tunisia" -"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany",50.68082,10.9325699,"Max-Planck-Ring 14, 98693 Ilmenau, Germany" -"PCE, New Panvel, Navi Mumbai, India",18.9900497,73.1281794,"PCE Rd, Triveni Society, Sector 16, New Panvel East, Panvel, Navi Mumbai, Maharashtra 410206, India" -"Postgraduate Institute of Science, University of Peradeniya, Sri Lanka",7.2586046,80.59659359999999,"Old Galaha Rd, Peradeniya, Sri Lanka" -"University of Chinese Academy of Sciences & CAS, Beijing, China",39.98177,116.330086,"China, Beijing, Haidian, Zhongguancun South 1st Alley, 中关村南一条" -"PLA University of Science and Technology, China",31.97090699999999,118.8128989,"China, 双龙街60号" -"Politehnica University of Bucharest, Bucharest, Romania",44.4386064,26.0494925,"Splaiul Independenței 313, București 060042, Romania" -"Ghent University, Ghent, Belgium",51.0465619,3.727918099999999,"St. Pietersnieuwstraat 33, 9000 Gent, Belgium" -"Toyota Technological Institute, Nagoya, Japan",35.106576,136.983018,"2 Chome-12-1 Hisakata, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0034, Japan" -"University of Ulsan, 93 Daehak road, Nam-gu, Ulsan 680-749, Korea",35.5437411,129.2562843,"93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea" -"Ordnance Engineering College, Shijiazhuang, China",38.042805,114.514893,"Shijiazhuang, Hebei, China" -"Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China",45.7470436,126.6334306,"92 Xidazhi St, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150006" -"Gwangju Institute of Science and Technology, Gwangju, Korea",35.2265288,126.839987,"123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea" -"University of Illinois Urbana-Champaign (UIUC), USA",40.1019523,-88.2271615,"Champaign, IL, USA" -"Laboratoire Jean Kuntzmann, B.P. 53, 38041 Grenoble Cedex 9, France",45.1934894,5.7715318,"Laboratoire Jean Kuntzmann, 38610 Gières, France" -"Graduate School, Xi'an University of Technology, China",34.251836,108.993218,"China, Shaanxi, Xi'an, Beilin, Jinhua S Rd, 金花南路5号 邮编 710048" -"Ecole Centrale de Lyon, Lyon, 69134, France",45.7838596,4.7691899,"36 Avenue Guy de Collongue, 69134 Écully, France" -"National Institute of Advance Industrial Science and Technology, Tsukuba City, Ibaraki, Japan",36.0614634,140.1338907,"1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan" -"Indian Institute of Technology Delhi, India",28.5449756,77.19262839999999,"IIT Campus, Hauz Khas, New Delhi, Delhi 110016, India" -"University of Frères Mentouri, Constantine, Algeria",36.3408311,6.6203356,"Constantine, Algeria" -"State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China",30.274084,120.15507,"Hangzhou, Zhejiang, China" -"ISTI-CNR, Pisa, Italy",43.7192587,10.4207947,"Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy" -"Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genova, Italy",44.47493739999999,8.9062287,"Via Morego, 30, 16163 Genova GE, Italy" -"Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland",53.42453649999999,14.5355133,"aleja Piastów 17, 70-310 Szczecin, Poland" -"Goa University, India",15.458414,73.834555,"Taleigao Plateau, Goa 403206, India" -"FM University, Balasore, Odisha, India",21.5057015,86.89074169999999,"Vyasa Vihar, Balasore, Odisha 756019, India" -"Telecom laboratory, Centre de Développement des Technologies Avancées, Algeria",36.689487,2.981877,"haouch oukil، Cité 20 aout 1956 Baba Hassen 5 juillet 1962، Alger 16303, Algeria" -"Heilongjiang University, Harbin, China",45.7077,126.623977,"74 Xuefu Rd, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China" -"Shandong, 250100, China",36.70194499999999,117.0810409,"Licheng, Jinan, Shandong, China, 250100" -"National Institute of Technology, Durgapur, India",23.5476728,87.2931389,"Mahatma Gandhi Rd, A-Zone, Durgapur, West Bengal 713209, India" -"NIH Clinical Center, Bethesda, USA",39.0025272,-77.1043789,"10 Center Dr, Bethesda, MD 20814, USA" -University of Malaga,36.7199506,-4.4160927,"Av. de Cervantes, 2, 29016 Málaga, Spain" -"Shandong Normal University, Jinan, China",36.652703,117.042083,"88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014" -"Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran",35.7040219,51.41063510000001,"Tehran Province, Tehran, District 6, Hafez Ave, Iran" -"Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen, China",24.479833,118.089425,"Xiamen, Fujian, China" -"Sch. of Software, Tsinghua Univ., Beijing, China",39.9996674,116.3264439,"30 Shuangqing Rd, Haidian Qu, Beijing Shi, China" -"University of Kansas, Lawrence, 66045-7621, USA",38.9543439,-95.2557961,"1450 Jayhawk Blvd, Lawrence, KS 66045, USA" -"Faculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano 380-8553, Japan",36.6313498,138.1901014,"4 Chome-17-1 Wakasato, Nagano, Nagano Prefecture 380-0928, Japan" -"Hewlett-Packard Labs, Palo Alto, CA, USA",37.4158716,-122.1465855,"3000 Hanover St, Palo Alto, CA 94304, USA" -"National University of Ireland, Galway",53.2770243,-9.0614864,"University Rd, Galway, Ireland" -"CARTIF Foundation, Valladolid, Spain",41.519231,-4.7171015,"Parque Tecnológico de Boecillo, 205, 47151 Boecillo, Valladolid, Spain" -"Inst. of Comput. Technol., Chinese Acad. of Sci., China",39.981868,116.326866,"6 Kexueyuan S Rd, Haidian Qu, China, 100080" -"Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland",51.7537146,19.4517176,"Stefana Żeromskiego 116, 90-924 Łódź, Poland" -"University of California, Riverside, USA",33.9737055,-117.3280644,"900 University Ave, Riverside, CA 92521, USA" -"The University of Isfahan, Isfahan, Iran",32.6312126,51.6495942,"Marnan, Isfahan, Isfahan Province, Iran" -"Nagoya Institute of Technology, Japan",35.1571349,136.9248384,"Gokisocho, Showa Ward, Nagoya, Aichi Prefecture 466-8555, Japan" -"Faculty of Computing and Information Technology, Setapak, Malaysia",3.215201,101.7266369,"University College, Bangunan Tan Sri Khaw Kai Boh (Block A), Tunku Abdul Rahman, 53100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia" -"Tokyo University of Science, Tokyo, Japan",35.699399,139.741398,"Japan, 〒162-0825 東京都新宿区神楽坂1丁目3" -"PLA University of Science and Technology (PLAUST), Nanjing, China",32.035225,118.855317,"China, Jiangsu, Nanjing, Xuanwu, 中山门外大街" -"Universidad de Granada , Granada, Spain",37.1839398,-3.6010182,"Avda. del Hospicio, 18071 Granada, Spain" -"UBTECH Robotics, Shenzhen, People’s Republic of China",22.543096,114.057865,"Shenzhen, Guangdong, China" -Delphi Deutschland GmbH,51.2352438,7.159313200000001,"Delphipl. 1, 42119 Wuppertal, Germany" -"College of Science and Information, Qingdao Agricultural University, Qingdao, China",36.321259,120.39659,"700 Changcheng Rd, Chengyang Qu, Qingdao Shi, Shandong Sheng, China" -Freie Universität Berlin,52.4525264,13.2896787,"Kaiserswerther Str. 16-18, 14195 Berlin, Germany" -"Academy of Broadcasting Science, No.2 Fuxingmenwai Road, Xicheng District, Beijing, China",39.9062644,116.3486433,"6 Fuxingmen Outer St, Xicheng Qu, Beijing Shi, China" -"Havacılık Elektrik ve Elektroniği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye",39.8155783,30.536602,"Gazipaşa Mahallesi, 26555 Tepebaşı/Eskişehir, Turkey" -"Indonesian Institute of The Arts, Yogyakarta, Indonesia",-7.811984000000001,110.3716317,"Gang Hiperkes 188 A-B Jalan Ireda, Dipowinatan Keparakan, Keparakan, Mergangsan, Kota Yogyakarta, Daerah Istimewa Yogyakarta 55152, Indonesia" -"University of Sheffield, Sheffield, U.K.",53.380707,-1.483982,"University of Sheffield, Sheffield S3 7RL, UK" -"Nanjing Tech University, Nanjing, China",32.076734,118.778139,"China, Jiangsu Sheng, Nanjing Shi, Gulou Qu, 新模范马路5号 邮政编码: 210028" -"Hong Kong Baptist University (HKBU), Hong Kong",22.3386388,114.1819316,"Baptist University Rd, Kowloon Tong, Hong Kong" -"Computer Vision Centre Barcelona, Barcelona, Spain",41.5008957,2.111553,"Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain" -Russia,61.52401,105.318756,Russia -"ChaLearn, California, USA",36.778261,-119.4179324,"California, USA" -"Automated Driving Team, Robert Bosch LLC, Palo Alto, CA 94304",37.40048669999999,-122.1364383,"4009 Miranda Ave, Palo Alto, CA 94304, USA" -"Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany",52.381515,9.720170999999999,"TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany" -"Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh",23.8152469,90.4279672,"Independent University, Bangladesh Plot 16, আফতাব উদ্দিন আহমেদ রোড, ঢাকা, Bangladesh" -"National Institute of Electronics and Information Technology, Aizawl Aizawl, Mizoram, India",23.7538315,92.7409279,"Zuangtui-Selesih Road, Industrial Estate, Zuangtui, Aizawl, Mizoram 796017, India" -"Computational Intelligence and Systems Science, Tokyo Institute of Technology-Japan, Email: osman@isl.titech.ac.jp",35.6051229,139.6835302,"2 Chome-12-1 Ookayama, Meguro, Tokyo 152-8550, Japan" -"Universiti Sains Malaysia, Malaysia",5.3559337,100.3025177,"11800 Gelugor, Penang, Malaysia" -"Nanchang University, Nanchang, China",28.683529,115.937347,"Qingshanhu, Nanchang, China, 330000" -"RK University, Rajkot, India",22.2403032,70.90085460000002,"Bhavnagar Highway Kasturbadham, Rajkot, Gujarat 360020, India" -"RIKEN Center for AIP, Tokyo, Japan",35.6825337,139.7746321,"Japan, 〒103-0027 Tokyo, Chūō, Nihonbashi, 1 Chome−4−1 日本橋一丁目三井ビルディング 15階" -"Visual Sensorics & Information Processing Lab, Goethe University Frankfurt am Main, Germany",50.1270675,8.6677635,"60323 Frankfurt, Germany" -"and Advanced Mining Technology Center, Universidad de Chile Av. Tupper 2007, Santiago, Chile",-33.4445204,-70.6509277,"Av Libertador Bernardo O'Higgins 1058, Santiago, Región Metropolitana, Chile" -"Autonomous University of the State of Mexico, Toluca, Mexico",19.2841203,-99.6779989,"Instituto Literario 100, Centro, 50000 Toluca de Lerdo, Méx., Mexico" -"Bell Labs, Cambridge, UK",52.205337,0.121817,"Cambridge, UK" -"Zhongnan University of Economics and Law, Wuhan, China",30.475063,114.394079,"Nanhu Ave, Hongshan, Wuhan Shi, Hubei Sheng, China, 430073" -"University of Vigo, jalba@gts.tsc.uvigo.es",42.1697632,-8.6845784,"Circunvalación ao Campus Universitario, 36310 Vigo, Pontevedra, Spain" -"Faculty of the Institute of Artificial Intelligence, Robotics, Xi’an Jiaotong University, Xi’an, China",34.250803,108.983693,"28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"Institute of Automatic Control, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland",50.288706,18.677266,"Akademicka 16, 44-100 Gliwice, Poland" -"Glasgow Caledonian University, Scotland, United Kingdom",55.8668183,-4.249960199999999,"Cowcaddens Rd, Glasgow G4 0BA, UK" -"Faculty of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China",34.251836,108.993218,"China, Shaanxi, Xi'an, Beilin, Jinhua S Rd, 金花南路5号 邮编 710048" -"Electronics and Optoelectronics Research Laboratories, ITRI, Hsinchu, Taiwan",24.8138287,120.9674798,"Hsinchu, East District, Hsinchu City, Taiwan" -Member,37.0582635,-95.67914909999999,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA" -"Bilgisayar Bilimleri Bölümü, Bilgi Üniversitesi, İstanbul, Turkey",41.0671816,28.9455079,"Emniyettepe Mahallesi, Kazım Karabekir Cd. No:13 D:2, 34060 Eyüp/İstanbul, Turkey" -Istituto Italiano di Tecnologia,42.360091,-71.09416,"77 Massachusetts Ave, Cambridge, MA 02139, USA" -Samsung Computer Vision Group Telecom R&D Center Beijing,39.90419989999999,116.4073963,"Beijing, China" -"University of California, Merced, CA, 95344",37.3641651,-120.4254615,"5200 Lake Rd, Merced, CA 95343, USA" -"Pusan National University, Busan, Korea",35.2331576,129.07951,"2 Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan, South Korea" -"Siemens Corporate Technology, Princeton, NJ, USA",40.3442079,-74.5924599,"755 College Rd E, Princeton, NJ 08540, USA" -"Information Security Group, City University London, London, UK",51.5150133,-0.1085619,"1-3 Pemberton Row, London EC4A 3BG, UK" -"Annamalai University, Chidambaram, India",11.3917829,79.7132032,"Annamalai Nagar, Chidambaram, Tamil Nadu 608002, India" -"CRISTAL laboratory, Tunisia",33.886917,9.537499,Tunisia -"Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary",47.4782828,19.0521075,"Budapest, Kende u. 13, 1111 Hungary" -TU Delft & Radboud University Nijmegen,52.0021256,4.3732982,"Mekelweg 5, 2628 CD Delft, Netherlands" -"Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India",23.1283862,72.54485079999999,"Sarkhej-Gandhinagar Highway, Gota, Ahmedabad, Gujarat 382481, India" -"DEI, University of Padua, Padua, Italy",45.406766,11.8774462,"Via 8 Febbraio 1848, 2, 35122 Padova PD, Italy" -"HCL Technologies, Chennai, India",12.9706029,80.2503912,"4/293, Arihant Technopolis,, Arihant Technopolis, 4/293, Old Mahabalipuram Rd, Perungudi, Chennai, Tamil Nadu 600096, India" -"Instituto de Microelectronica de Sevilla, IMSE-CNM-CSIC, Spain",37.412184,-6.005945,"Parque Científico y Tecnológico Cartuja, Calle Américo Vespucio, s/n, 41092 Sevilla, Spain" -"Visual Learning and Intelligence Laboratory, Indian Institute of Technology Hyderabad, Hyderabad, India",17.5947033,78.1231054,"IITH Main Road, Near NH-65, Sangareddy, Kandi, Telangana 502285, India" -"German National Library of Science and Technology (TIB), Hannover, Germany",52.381515,9.720170999999999,"TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany" -"College of Machatronics Engineering, National University of Defense, Chang Sha, China",28.228209,112.938814,"Changsha, Hunan, China" -"Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, France",48.8471036,2.357499,"4 Place Jussieu, 75005 Paris, France" -"College of Mathematics & Computer Science, Wuhan Textile University, Wuhan, China",30.48573099999999,114.398297,"1 Fangzhi Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -"Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France",45.7618799,3.1127133,"24 Avenue des Landais, 63170 Aubière, France" -"CES-Laboratory, Sfax Sud University, Tunisia",34.7275486,10.7174924,"route soukra km 4 bp 1173 3000، Sfax, Tunisia" -"Zenuity, Gothenburg, Sweden",57.7085123,11.9401886,"Lindholmspiren 2, 417 56 Göteborg, Sweden" -"Uppsala University, Sweden",59.85090049999999,17.6300093,"Uppsala, 752 36 Uppsala, Sweden" -"Wuhan Institute of Technology, Wuhan, China",30.5020376,114.3901822,"693 Xiongchu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -"Sullivan Nicolaides Pathology, Australia",-27.449256,153.0367421,"24 Hurworth St, Bowen Hills QLD 4006, Australia" -"Vesalis, Clermont-Ferrand, France",45.77722199999999,3.087025,"Clermont-Ferrand, France" -University of Washington and Google Inc.,47.6607461,-122.3145838,"University of Washington Tower Building T, 4333 Brooklyn Ave NE, Seattle, WA 98105, USA" -India,20.593684,78.96288,India -"University of Genoa, Italy",44.4149029,8.926743000000002,"Via Balbi, 5, 16126 Genova GE, Italy" -"u’smile, the Josef-Ressel-Center for User-Friendly Secure Mobile Environments, University of Applied Sciences Upper Austria, Wels, Austria",48.1548429,14.0112978,"Franz-Fritsch-Straße 11, 4600 Wels, Austria" -"Ocean System Engineering Research Division, Korea Research Institute of Ships and Ocean Engineering (KRISO), Daejeon, Republic of Korea",36.398245,127.363407,"South Korea, Daejeon, Yuseong-gu, Yuseong-daero 1312beon-gil, 32" -"Computer Science and Engineering, Universite du Quebec en Outaouais, Gatineau, Canada",45.4193121,-75.6785649,"800 King Edward Ave, Ottawa, ON K1N 6N5, Canada" -"Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India",22.599589,72.8205,"CHARUSAT Campus, Highway 139, Off, Nadiad - Petlad Road, Changa, Gujarat 388421, India" -"Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea",35.2253708,126.8461834,"1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea" -"Zhongyuan University of Technology, Zhengzhou, China",34.58603,113.688309,"China, Henan, Zhengzhou, Xinzheng, Bohai Rd, 淮河路1号" -"Daimler AG, Research and Development, Ulm, Germany",48.42205269999999,9.941293199999999,"Wilhelm-Runge-Straße 11, 89081 Ulm, Germany" -"UR: SAGE-ENISo, University of Sousse, Tunisia",35.82039,10.5930903,"Pôle technologique de Sousse, Route de Ceinture Sahloul، 4054, Tunisia" -"Harvard University & Microsoft Research, Boston, MA, USA",42.3614256,-71.0812092,"1 Memorial Dr, Cambridge, MA 02142, USA" -"Key Laboratory of Work Safety Intelligent Monitoring, EE, BUPT, Beijing, P.R. China",39.962796,116.358103,"10 Xitucheng Rd, BeiTaiPingZhuang, Haidian Qu, Beijing Shi, China, 100876" -"Key Laboratory of Intelligent Computing and Information Processing, Ministry of Education, Xiangtan, People’s Republic of China",27.829795,112.944026,"Xiangtan, Hunan, China" -"University of Cologne, Köln, Germany",50.9281625,6.9288193,"Albertus-Magnus-Platz, 50923 Köln, Germany" -"Institute of Engineering and Technology, Lucknow - 226 021, India",26.9143243,80.9410114,"Sitapur Rd, Sector F, Jankipuram, Lucknow, Uttar Pradesh 226021, India" -"FotoNation Ltd., Galway, Ireland",53.3025673,-8.9863733,"Cliona, Building One, Parkmore East Business Park, Co. Galway, Ireland" -"University of Essex, Essex, United Kingdom",51.7343313,0.4690888,"Essex, UK" -"AGT International, Darmstadt, Germany",49.8624444,8.619840199999999,"Hilpertstraße 35, 64295 Darmstadt, Germany" -"The Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil",-30.0335969,-51.2198397,"Av. Paulo Gama, 110 - Farroupilha, Porto Alegre - RS, 90040-060, Brazil" -"Laboratory ISA Faculty of Science and Technology, Fez, Morocco",33.9991022,-4.9886735,"Faculté des Sciences et Techniques de Fès B.P. 2202 – Route d’Imouzzer، Fes, Morocco" -"Insititute of Information Science, Academia Sinica, Taipei, Taiwan",25.0411727,121.6146518,"115, Taiwan, Taipei City, Nangang District, 研究院路二段128號" -"GVU Center, Georgia Inst. of Technol., Atlanta, GA, USA",33.7756178,-84.39628499999999,"North Ave NW, Atlanta, GA 30332, USA" -"University of Information Technology, Vietnam",10.8703,106.8034513,"Khu phố 6 P, Vietnam" -"Faculty of Telecommunications, TU-Sofia",42.6560853,23.3476523,"ulitsa ""Akademik Stefan Mladenov"" 1, 1700 Studentski Kompleks, Sofia, Bulgaria" -"CSIR-Central Scientific Instruments Organisation, Chandigarh, India",30.7126663,76.7834577,"Sector 30-C, Sector 30, Chandigarh, 160030, India" -"Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey",38.029533,32.506051,"Ardıçlı Mahallesi, İsmetpaşa Cad., 42250 Selçuklu/Konya, Turkey" -"Univ. of California at Los Angeles, Los Angeles, CA 90095. zjxu@stat.ucla.edu",34.068921,-118.4451811,"Los Angeles, CA 90095, USA" -"University of Freiburg, Germany",47.9935441,7.845949599999999,"Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany" -"Huazhong University of Science & Technology, Wuhan, 430074, China",30.508964,114.410577,"Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -"Azarbaijan Shahid Madani University, Tabriz, Iran",37.8141037,45.9534153,35 km. of Tabriz - Maragheh Hwy، Iran -"Norwegian Biometric Laboratory, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway",60.7888182,10.6808758,"Teknologivegen 22, 2815 Gjøvik, Norway" -Affiliated Sichuan Provincial Rehabilitation HospitalChongqing Medical University,30.26380319999999,102.8054753,"Sichuan, China" -"Iran University of Science and Technology (IUST), Tehran, Iran",35.742474,51.5023103,"Tehran, Tehran Province, Iran" -"Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece",40.92931859999999,24.3790305,"Αγ. Λουκάς, Καβάλα 654 04, Greece" -"Tung-Fang Design University, Kaohsiung County, Taiwan",22.8807003,120.2454082,"No. 110號, Dongfang Road, Hunei District, Kaohsiung City, Taiwan 82941" -"The Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poznan, Poland",52.46727199999999,16.92726,"Umultowska 87, 61-614 Poznań, Poland" -"Wrocław University of Technology, Wrocław, Poland",51.1073907,17.0619712,"wybrzeże Stanisława Wyspiańskiego 27, 50-370 Wrocław, Poland" -Carnegie Mellon University. gu@cs.cmu.edu,40.4428081,-79.94301279999999,"5000 Forbes Ave, Pittsburgh, PA 15213, USA" -"IMAGO Research Group, Universidade Federal do Paraná, Curitiba-PR, Brazil",-25.4269081,-49.2617658,"Rua XV de Novembro, 1299 - Centro, Curitiba - PR, 80060-000, Brazil" -"Experimental and Technological Research Group - NExT/IFG, Federal Institute of Goiás, Goiânia, Brazil",-16.8163057,-49.2720937,"Av. Universitária Vereador Vagner da Silva Ferreira, Quadra 1, Lote 1-A, S/N - Parque Itatiaia, Aparecida de Goiânia - GO, 74968-755, Brazil" -"Multimedia Signal Processing Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland",46.5190557,6.5667576,"Route Cantonale, 1015 Lausanne, Switzerland" -Panasonic Singapore Laboratories Pte Ltd,1.336488,103.8932925,Singapore -"Beijing Institute of Technology, Beijing, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"UNC Charlotte, Charlotte, NC, USA",35.3070929,-80.735164,"9201 University City Blvd, Charlotte, NC 28223, USA" -"Gipsa-Lab, Saint Martin d’Heres, France",45.1934415,5.7663115,"11 Rue des Mathématiques, 38400 Saint-Martin-d'Hères, France" -"Institute of Semiconductors, Chinese Academy of Sciences&University of Chinese Academy of Sciences, Beijing, China",39.98177,116.330086,"China, Beijing, Haidian, Zhongguancun South 1st Alley, 中关村南一条" -"Huafan University, Taipei, Taiwan",24.9796898,121.6919943,"No. 1號, Huafan Road, Shiding District, New Taipei City, Taiwan 223" -"Center of Informatics - CIn, Federal University of Pernambuco - UFPE, Recife, Brazil",-8.0524478,-34.9497286,"Av. Prof. Moraes Rego, 1235 - Cidade Universitária, Recife - PE, 50670-901, Brazil" -"Faculty of Computer Engineering, Shahid Rajaee Teacher Training University. Shabanlou, Lavizan, Tehran, Iran",35.74071929999999,51.4482906,"Tehran, Tehran Province, Iran" -"École de Technologie Supérieure, Montréal, Canada",45.494546,-73.562246,"1100 Rue Notre-Dame Ouest, Montréal, QC H3C 1K3, Canada" -"ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.",53.7641378,-2.7092453,"Fylde Rd, Preston PR1 2HE, UK" -"National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China",39.979203,116.33287,"China, Beijing, Haidian, 中关村东路95号" -"Apollo Institute of Technology, Kanpur, India",26.265488,80.50316699999999,"Village Sundhela, Sarsaul, Uttar Pradesh 209402, India" -"Incheon National University, South Korea",37.3750548,126.6328998,"119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea" -"France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: christophe.garcia@orange-ftgroup.com",45.2095831,5.793992299999999,"28 Chemin du Vieux Chêne, 38240 Meylan, France" -"College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, People’s Republic of China",30.2308529,115.063922,"11 Cihu Rd, Huangshigang Qu, Huangshi Shi, Hubei Sheng, China, 435002" -"LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France",50.323558,3.5125827,"Voirie Communale Université Val Mont Houy, 59300 Famars, France" -"The Center for Advanced Medical Engineering and Informatics, Japan",36.204824,138.252924,Japan -"State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, China",20.06199,110.32874,"China, 第一食堂2楼" -"Ecole Nationale Superieure de Techniques Avancés, Palaiseau, France",48.7107339,2.2180501,"828 Boulevard des Maréchaux, 91120 Palaiseau, France" -"university of science and technology, Beijing, 100083, China",39.989458,116.356945,"30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083" -"Social Robotics Laboratory, University of Freiburg, Germany",47.9935441,7.845949599999999,"Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany" -"University of California, Irvine, Irvine, USA",33.6404952,-117.8442962,"Irvine, CA 92697, USA" -"Microsoft & University of Washington, Redmond, WA, USA",47.6423318,-122.1369302,"One Microsoft Way, Redmond, WA 98052, USA" -"Visual Information Technologies, Jacobs University Bremen, Bremen, Germany",53.16771689999999,8.6542654,"Campus Ring 1, 28759 Bremen, Germany" -"University of Bradford, Bradford, UK",53.7924523,-1.7656617,"Richmond Rd, Bradford BD7 1DP, UK" -"China University of Geosciences, China",30.51735439999999,114.4007303,"388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -"Universidad de Alicante, Spain",38.3852446,-0.5143160999999999,"Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain" -"King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia",26.3071046,50.14594229999999,"University Blvd, King Fahd University of Petroleum and Minerals, Az Zahran Saudi Arabia" -"Vision & Sensing Group, HCC Lab, ESTeM University of Canberra, Australia",-35.2384551,149.0844455,"Building 1/11 Kirinari St, Bruce ACT 2617, Australia" -"Sapientia Hungarian University of Transylvania, Hungary",47.162494,19.5033041,Hungary -"Beihang University; LIRIS, Ecole Centrale de Lyon, Beijing, China",39.98302,116.350266,"Xiaoyuan Middle Rd, Haidian Qu, Beijing Shi, China, 100083" -"LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco",33.9702335,-6.874473,"Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.، Rabat 10102, Morocco" -"University Hospital Jena, Jena, Germany",50.9289028,11.5787572,"Bachstraße 18, 07743 Jena, Germany" -"Syracuse University, USA",43.0391534,-76.1351158,"Syracuse, NY, USA" -"North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India",27.1305429,93.7408016,"NERIST, Nirjuli, Arunachal Pradesh 791109" -"Shaanxi Rural Commercial Bank Co., Ltd., Shangluo, China",33.870422,109.940477,"Shangluo, Shaanxi, China" -"Chengdu University of Information Technology, Chengdu, China",30.583053,103.99106,"24 Xuefu Rd 1st Section, 西南航空港经济开发区 Chengdu Shi, Sichuan Sheng, China, 610225" -"Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, 400084, Romania",46.7677955,23.5912762,"Strada Universității 7-9, Cluj-Napoca 400084, Romania" -"Adobe Research, San Jose, CA 95110, USA",37.3309307,-121.8940485,"345 Park Ave, San Jose, CA 95110, USA" -"Video Processing and Understanding Lab, Universidad Autónoma de Madrid (Spain)",40.5466983,-3.6943619,"Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain" -"Rehabilitationswissenschaften, Technische Universität Dortmund, Dortmund, Germany",51.4921902,7.4141362,"Emil-Figge-Straße 50, 44227 Dortmund, Germany" -"Shandong Normal University, Jinan, China",36.652703,117.042083,"88 Wenhua E Rd, Lixia Qu, Jinan Shi, Shandong Sheng, China, 250014" -"Beijing University of Aeronautics and Astronautics, China",39.984492,116.348175,"Xiaoyuan N Rd, WuDaoKou, Haidian Qu, Beijing Shi, China" -"Jaguar Land Rover, Engineering Centre, Coventry, UK",52.38328780000001,-1.4911326,"Abbey Rd, Coventry CV3 4LF, UK" -"Production and Systems, Kitakyushu, Japan",33.8898985,130.708588,"2-7 Hibikino, Wakamatsu Ward, Kitakyushu, Fukuoka Prefecture 808-0135, Japan" -"Renai College of Tianjin University, Tianjin, China",38.884834,117.15628,"Jinghai, Tianjin, China" -"Notre Dame Univ., USA",41.7001908,-86.23793280000001,"Notre Dame, IN 46556, USA" -"University of Medicine and Pharmacy “Victor Babes”, Piata Eftimie Murgu, 300041 Timisoara",45.7572315,21.2365832,"Piața Eftimie Murgu 2, Timișoara 300041, Romania" -"École centrale de Lyon, Écully, France",45.7838596,4.7691899,"36 Avenue Guy de Collongue, 69134 Écully, France" -"Institute for Infocomm Research, A∗STAR, Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 138632",1.2988926,103.7873107,"1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" -"University of Firenze, via S. Marta 3, 50139 Firenze, Italy",43.7984901,11.2530255,"Via di Santa Marta, 3, 50139 Firenze FI, Italy" -"Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan",35.0496643,135.7820463,"Matsugasaki Hashikamicho, Sakyo Ward, Kyoto, Kyoto Prefecture 606-8585, Japan" -"Modern Economics & Management College, Jiangxi University of Finance and Economics, Nanchang, China",28.733688,115.836377,"China, Jiangxi Sheng, Nanchang Shi, Qingshanhu Qu, 枫林西大街632号 邮政编码: 330013" -"Université Of Bourgogne, France",47.312907,5.066068,"Maison de l'université, Espl. Erasme, 21078 Dijon, France" -"Universidad de Zaragoza, I3A, Zaragoza, Spain",41.6850158,-0.8874757999999999,"C/ Mariano Esquillor s/n, 50018 Zaragoza, Spain" -"Istituto Nazionale di Ottica - CNR, Italy",43.7491036,11.2520586,"Largo Enrico Fermi, 6, 50125 Firenze FI, Italy" -"Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia",56.9486151,24.1180684,"Raiņa bulvāris 29, Centra rajons, Rīga, LV-1050, Latvia" -"Instituto de Microelectronica de Sevilla IMSE-CNM-CSIC C/ Américo Vespucio, s/n (esquina Leonardo da Vinci) Sevilla, Spain",37.412184,-6.005945,"Parque Científico y Tecnológico Cartuja, Calle Américo Vespucio, s/n, 41092 Sevilla, Spain" -China,35.86166,104.195397,China -"National Engineering Research Center for Multimedia Software, China",35.86166,104.195397,China -"Texas A&M Univerisity, College Station, TX, USA",30.618531,-96.33649899999999,"400 Bizzell St, College Station, TX 77843, USA" -"CDTA, Algeria",36.689487,2.981877,"haouch oukil، Cité 20 aout 1956 Baba Hassen 5 juillet 1962، Alger 16303, Algeria" -"Minjiang University, Fuzhou, People’s Republic of China",26.064704,119.169116,"1 Wenxian Rd, Minhou Xian, Fuzhou Shi, Fujian Sheng, China" -"Aarhus University, Denmark",56.1681384,10.2030118,"Nordre Ringgade 1, 8000 Aarhus C, Denmark" -"Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY 14650-1816. jiebo.luo@kodak.com",43.1604676,-77.6196028,"Rochester, NY 14650, USA" -"Xiamen, University, Xiamen, People’s Republic of China",24.4373484,118.097855,"422 Siming S Rd, Siming Qu, Xiamen Shi, Fujian Sheng, China, 361005" -"Institute of Real Time Learning Systems, University of Siegen, Siegen, Germany",50.9112613,8.025453299999999,"Adolf-Reichwein-Straße 2, 57068 Siegen, Germany" -"Satish Dhawan Space Centre SHAR, ISRO, Sriharikota, India",13.7258653,80.22655449999999,"Sriharikota, Andhra Pradesh 524124, India" -"Frederick University, Nicosia, Cyprus",35.1794916,33.3804358,"7, Lefkoşa, Cyprus" -"University of California, San Diego, La Jolla, USA",32.8800604,-117.2340135,"9500 Gilman Dr, La Jolla, CA 92093, USA" -"Landran, Mohali, India",30.69449079999999,76.6650946,"Landran, Punjab 140307, India" -"KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan",35.87922289999999,139.5176557,"2 Chome-1-15 Ohara, Fujimino, Saitama Prefecture 356-0003, Japan" -"College of Engineering Munnar, Idukki, Kerala, India",10.0929689,77.06823349999999,"PB.No:45, County Hills, Munnar, Kerala 685612, India" -"Changchun University of Technology, Changchun, CO 130012 China",43.834677,125.303135,"7989 Weixing Rd, Chaoyang Qu, Changchun Shi, Jilin Sheng, China, 130012" -"Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA",42.7296206,-73.6802931,"110 8th St, Troy, NY 12180, USA" -"BioMerieu, La Balme-les-Grottes",45.8543297,5.332039,"TE, 3 Route de Port Michaud, 38390 La Balme-les-Grottes, France" -"Institute for Information Technology and Communications, University of Magdeburg, Germany",52.1402053,11.6441991,"Universitätspl. 2, 39106 Magdeburg, Germany" -"Huazhong University of Science of Technology, China, Wuhan, China",30.508964,114.410577,"Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -"Gazi University, Engineering and Architecture Faculty, 06570 Ankara, Turkey",39.9313785,32.845961,"Eti Mh., Maltepe Mahallesi, Yükseliş Sokak, No:5, Ankara, Turkey" -g,37.41819100000001,-95.68183429999999,"612 Main St, Neodesha, KS 66757, USA" -"University of Stavanger, Stavanger, Norway",58.93729899999999,5.697201,"Kjell Arholmsgate 41, 4036 Stavanger, Norway" -"National Institute of Technology Surathkal, Mangalore, India",13.0108387,74.7943104,"NH 66, Srinivas Nagar, Surathkal, Mangaluru, Karnataka 575025, India" -"Shanghai University of Electric Power, China",31.048797,121.7883611,"28 Xuehai Rd, Huinanzhen, Pudong Xinqu, Shanghai Shi, China" -"Vicarious Perception Technologies, Amsterdam, The Netherlands",52.37509499999999,4.889524,"Singel 160, 1015 AH Amsterdam, Netherlands" -"College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China",30.491766,114.396237,"708 Minzu Ave, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -"NICTA / Australian National University, Canberra, Australia",-35.2776999,149.118527,"Canberra ACT 0200, Australia" -"College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China",39.92357,119.555809,"143 Taishan Rd, Haigang Qu, Qinhuangdao Shi, Hebei Sheng, China, 066004" -"Visualization and Perception Lab, Chennai, India",12.9890989,80.2288467,"CSB, Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India" -"Bilgisayar Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye",39.7488779,30.4758154,"Büyükdere Mahallesi, Osmangazi Ünv. No:38, 26040 Odunpazarı/Eskişehir, Turkey" -"Infosys Limited, Bhubaneswar, India",20.3415279,85.8044662,"Plot No. E / 4, Info City, Bhubaneswar, Odisha 751024, India" -"Mashhad Branch, Islamic Azad University Mashhad, Iran",36.3580235,59.51599359999999,"Razavi Khorasan Province, Mashhad, Kuy-e-Honar, تقاطع, Ostad Yousefi Boulevard, Iran" -"Harbin Institute of Technology Shenzhen Graduate School, 518055 Guangdong China",22.586752,113.96878,"China, Guangdong, Shenzhen, Nanshan, 平山一路" -"Foundation for Research and Technology--Hellas (FORTH), Greece",37.9800712,23.7314829,"Οδός Σταδίου, Πλατάνι, Τ.Θ. 1414, Πάτρα, 26500, Greece" -"Rayat & Bahra College of Engg. & Bio-Tech, Kharar, India",30.78094239999999,76.6192274,"V.P.O. Sahauran, Tehsil Kharar, Distt. Mohali, Kharar, Punjab 140104, India" -"UC Berkeley EECS and ICSI, CA 94720, USA",37.875614,-122.258714,"387 Soda Hall, Berkeley, CA 94720, USA" -"Qualcomm Technologies, Inc., San Diego, CA",32.8960756,-117.1955984,"5775 Morehouse Dr, San Diego, CA 92121, USA" -DGIST,35.705286,128.457102,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333" -"Corporate Research, Robert Bosch GmbH, Stuttgart, Germany",48.78598,9.06343,"Robert-Bosch-Platz 1, 70839 Gerlingen, Germany" -"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812, 19 Bratislava, Slovakia",48.15185320000001,17.0733446,"Ilkovičova 2961/3, 841 04 Karlova Ves, Slovakia" -"Laboratory LIM, Faculty of Sciences and Technologies, University Hassan II, Casablanca-Morocco",33.5731104,-7.589843399999999,"Casablanca 20000, Morocco" -"University of Milano-Bicocca, Milan, Italy",45.518383,9.213452,"Edificio U6, Università degli Studi di Milano Bicocca, Piazza dell'Ateneo Nuovo, 1, 20126 Milano MI, Italy" -"Birla Institute of Technology and Science (BITS), Pilani, India",28.3588163,75.58802039999999,"Pilani, Rajasthan 333031, India" -"Sri Krishna College of Engineering and Technology, Coimbatore, India",10.9365094,76.95624049999999,"Sugunapuram East, BK Pudur, Kuniamuthur, Coimbatore, Tamil Nadu 641008, India" -"Informatics and Telematics Institute Centre for Research and Technology Hellas, Greece",40.5667611,22.9980147,"Thermi 570 01, Greece" -"Cookpad, Inc., Tokyo, Japan",35.642145,139.713463,"Japan, 〒150-6012 東京都渋谷区 恵比寿4−20−3 恵比寿 ガーデンプレイス タワー 12F" -"ViNotion BV, P.O. Box 2346, 5600 CH, Eindhoven, NL",51.4468354,5.5223603,"Daalakkersweg 2-58, 5641 JA Eindhoven, Netherlands" -"Indian Institute of Technology Roorkee, Roorkee, India-247667",29.8648599,77.89657869999999,"Roorkee - Haridwar Highway, Roorkee, Uttarakhand 247667, India" -"ISSNIP, The University of Melbourne, Victoria - 3010, Australia",-37.7963689,144.9611738,"Parkville VIC 3010, Australia" -"Electrical Engineering Sharif University of Technology Tehran, Iran",35.7015835,51.3517768,"Tehran Province, Tehran, District 2, بن بست 7، Iran" -"Hewlett-Packard Laboratories, Palo Alto, CA, USA. tong.zhang@hp.com",37.4418834,-122.1430195,"Palo Alto, CA, USA" -"University of Ulsan, 133-791, Korea",35.5437411,129.2562843,"93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea" -"Interactive Systems Labs, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: stiefel@ira.uka.de",49.0119199,8.4170303,"76131 Karlsruhe, Germany" -"Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea",35.2253708,126.8461834,"1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea" -"GREYC Laboratory, ENSICAEN - Université de Caen, Basse-Normandie - CNRS",49.21489099999999,-0.368952,"Campus 2, Bâtiment F, 6 Boulevard Maréchal Juin, 14000 Caen, France" -"American University of Science & Technology, Faculty of Engineering, Beirut, Lebanon",33.8845433,35.5229911,"Alfred Naccache Avenue، Beirut, Lebanon" -"Faculty of Engieering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia",2.9451332,101.8760913,"B34, 43500 Semenyih, Selangor, Malaysia" -"Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY",41.112594,16.882972,"Via Giovanni Amendola, 122 D/O, 70126 Bari BA, Italy" -"UniMAP, Perlis, Malaysia",6.4622347,100.1646294,"Jalan Wang Ulu Arau, Sg. Chuchuh, 01000 Kangar, Perlis, Malaysia" -"Intelligent Control Systems Laboratory, Griffith University. Brisbane, Australia",-27.543767,153.065985,"5, International Building, 176 Messines Ridge Road, Mount Gravatt QLD 4122, Australia" -"Wakayama University, Sakaedani 930, Wakayama-City 640-8510, Japan",34.2657574,135.1517748,"Japan, 〒640-8510 和歌山県和歌山市栄谷930" -"SGB Amravati University, Amravati (M.S.), India",20.9369598,77.804813,"Camp Area, Near Tapovan Gate, Amravati, Maharashtra 444602, India" -"Dhanbad, India 826004",23.8529508,86.4288534,"Jharkhand 826004, India" -Annamalai University,43.76915899999999,-79.2671445,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada" -"National Yunlin University of Science and Technology, Taiwan 640, R.O.C.",23.6960596,120.5340433,"No. 123號, Section 3, Daxue Road, Douliu City, Yunlin County, Taiwan 640" -"Tianjin Polytechnic University, Tianjin, China",39.06694,117.111382,"Xiqing, China, 300384" -"ShenZhen Polytechnic, 518055,China",22.580973,113.940407,"China, Guangdong, Shenzhen, Nanshan, 留仙大道" -"Université de Lyon, CNRS, LIRIS, UMR5205, Université Lyon 1, Lyon, France",45.7280307,4.825942899999999,"7 Passage du Vercors, 69007 Lyon, France" -"University of California, Santa Cruz & Ghent University, Santa Cruz, CA, USA",36.9915847,-122.0582771,"1156 High St, Santa Cruz, CA 95064, USA" -"Microsoft Research Redmond, Redmond, USA",47.64183920000001,-122.1407465,"14865 NE 36th St, Redmond, WA 98052, USA" -"Visiting Faculty, CVIT, IIIT Hyderabad, India",17.4450981,78.3497678,"IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India" -"IT: Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal",40.27730770000001,-7.509580099999999,"Estr. da Palmatória 1, 6200-161 Covilhã, Portugal" -"Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK",55.862122,-4.2422851,"16 Richmond St, Glasgow G1 1XQ, UK" -"Electronics and Communication Sciences Unit, Indian Statistical Institute, India",22.6481521,88.376817,"Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India" -"Mechanical Engineering, Kettering University, Flint, Michigan, U.S.A.",43.0115468,-83.7138531,"1700 University Ave, Flint, MI 48504, USA" -"University of Southern California Institute for Creative Technologies, Los Angeles, CA",33.9832526,-118.40417,"12015 E Waterfront Dr, Los Angeles, CA 90094, USA" -"INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France",43.6158131,7.068379999999999,"2004 Route des Lucioles, 06902 Valbonne, France" -"TDC, Network Systems and Technologies (NeST) Technopark, Thiruvananthapuram - 695581, India",8.5580967,76.88156049999999,"Park Centre, Technopark Campus, Thiruvananthapuram, Kerala 695581, India" -"Escola Universitaria Politecnica de Mataro, Spain",41.5280321,2.4344081,"Carrer d'Ernest Lluch, 32, 08302 Mataró, Barcelona, Spain" -"National research base of intelligent manufaturing service, Chongqing, China",29.4315861,106.912251,"Chongqing, China" -Instituto de Telecomunicações & Faculdade de Ciěncias da Universidade do Porto,41.1478241,-8.6242261,"R. Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal" -"Brno University of Technology, Czech Republic",49.20171999999999,16.6033168,"1 548 Antonínská Brno-střed Brno Česká republika, 601 90, Czechia" -"University of Michigan 1301 Beal Avenue, Ann Arbor, MI 48109-2122",42.292322,-83.71327199999999,"1301 Beal Ave, Ann Arbor, MI 48109, USA" -"Purdue Univ., West Lafayette, IN, USA",40.4237054,-86.92119459999999,"610 Purdue Mall, West Lafayette, IN 47907, USA" -"National Institute of Technology Uttarakhand, Srinagar Garhwal, India",30.2184454,78.7669899,"NH 58, Srinagar, Uttarakhand 246174, India" -"General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel",32.1665923,34.8127468,"46733, HaMada St 7, Herzliya, Israel" -"Beiing Institute of Technology Beijing, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -Arizona State University. jieping.ye@asu.edu,34.0489281,-111.0937311,"Arizona, USA" -"Global Academy of Technology, Bangalore, Karnataka, India",12.926953,77.526579,"Ideal Homes Township, Mysore Rd, Aditya Layout, RR Nagar, Bengaluru, Karnataka 560098, India" -"Ramanathapuram, India",9.3647215,78.83508549999999,"Ramanathapuram, Tamil Nadu, India" -"Institute for Electronics, Signal Processing and Communications, Otto-v.-Guericke University, Magdeburg, Germany",52.1402053,11.6441991,"Universitätspl. 2, 39106 Magdeburg, Germany" -"University of Kaiserslautern, Germany, Kaiserslautern, Germany",49.4253774,7.755549599999999,"Erwin-Schrödinger-Straße 1, 67663 Kaiserslautern, Germany" -"LEAR team, Inria Grenoble Rhone-Alpes, France",45.1599394,5.7324215,"38 330 Avenue de l'Europe, 38100 Grenoble, France" -"Children’s Guide Foundation Autism Spectrum Disorder Center, Buffalo, NY, USA",42.88644679999999,-78.8783689,"Buffalo, NY, USA" -"Islamic University of Technology, Gazipur, Bangladesh",23.947261,90.3799325,"Board Bazar, Dhaka- Mymensingh Highway, Gazipur 1704, Bangladesh" -"Islamia College Peshawar, Peshawar, Pakistan",34.0000461,71.4759682,"Grand Trunk Rd, Rahat Abad, Peshawar, Khyber Pakhtunkhwa, Pakistan" -"University of Science and Technology Beijing, Beijing 100083, China",39.989458,116.356945,"30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083" -"Research and Technology Center, Robert Bosch LLC, Palo Alto, CA, USA",37.3820012,-121.9995116,"384 Santa Trinita Ave, Sunnyvale, CA 94085, USA" -"College of Mathematics and Information Engineering, Jiaxing University, Jiaxing, China",30.747692,120.733223,"Nanhu, Jiaxing, China, 314000" -"Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines",14.595315,120.987977,"363 P Casal, Quiapo, Manila, 1001 Metro Manila, Philippines" -"German Research Center for Artificial Intelligence, DFKI Bremen, Robotics Innovation Center, Robert-Hooke-Strae 1, D-28359, Germany",53.1119218,8.8580788,"Robert-Hooke-Straße 1, 28359 Bremen, Germany" -"Gannan Normal University, Ganzhou, People’s Republic of China",25.801917,114.888895,"Zhanggong, Ganzhou, Jiangxi, China, 341000" -"Nanjing University of Posts and Telecommunications, 210046, China",32.08025800000001,118.768159,"38 Guangdong Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028" -"Danang University of Technology, Vietnam",16.0735975,108.1499457,"54 Nguyễn Lương Bằng, Hoà Khánh Bắc, Liên Chiểu, Đà Nẵng 550000, Vietnam" -"University of Central Lancashire, Preston, U.K.",53.7641378,-2.7092453,"Fylde Rd, Preston PR1 2HE, UK" -"Institute of Informatics, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland",50.288706,18.677266,"Akademicka 16, 44-100 Gliwice, Poland" -"Henan University of Science and Technology, Luoyang, China",34.603664,112.422678,"263 Kaiyuan Ave, Luolong Qu, Luoyang Shi, Henan Sheng, China" -"Punjab Engineering College, Chandigarh, India",30.7672804,76.78698349999999,"Vidya Path, Sector 12, Chandigarh, 160012, India" -"University of Science and Technology Beijing, 100083, China",39.989458,116.356945,"30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083" -"Image Perception, Access and Language Lab, Institute for Infocomm Research, Singapore, Singapore",1.2988926,103.7873107,"1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" -"Enjoyor Labs, Enjoyor Inc., Hangzhou, China",30.274084,120.15507,"Hangzhou, Zhejiang, China" -"Politecnico di Torino, Torino, Italy",45.062914,7.677314,"Corso Duca degli Abruzzi, 24, 10129 Torino TO, Italy" -"CENTRALESUPELEC/IETR UMR6164, Team FAST (Facial Analysis, Synthesis and Tracking) Avenue de la Boulaie, 35576, Cesson-Sévigné, France",48.1252316,-1.6234012,"Campus de Rennes, Avenue de la Boulaie, 35510 Cesson-Sévigné, France" -"DAEIMI, University of Cassino, Cassino (FR), Italy",41.471875,13.828328,"Viale dell'Università, 03043 Cassino FR, Italy" -"Ursinus College, Collegeville, PA",40.1915099,-75.4558588,"601 E Main St, Collegeville, PA 19426, USA" -Max Planck Institute for Intelligent Systems,48.7468939,9.0805141,"Heisenbergstraße 3, 70569 Stuttgart, Germany" -"Center for Electrical Engineering and Informatics, Federal University of Campina Grande, Paraíiba, Brazil",-7.2171368,-35.9097543,"R. Aprígio Veloso, 882 - Universitário, Campina Grande - PB, 58429-900, Brazil" -"MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France",48.8449637,2.3396105,"60 Boulevard Saint-Michel, 75006 Paris, France" -"Beijing Institute of Technology, Beijing 100081, P.R. China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"The Interdisciplinary Center Herzliya, Israel",32.176113,34.836234,"Kanfei Nesharim St, Herzliya, 4610101, Israel" -"College of Electronics and Information, Xi’an Polytechnic University, Xi’an, China",34.249885,108.982839,"Pengkang Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"École polytechnique fédéral de, Lausanne (EPFL), Switzerland",46.5190557,6.5667576,"Route Cantonale, 1015 Lausanne, Switzerland" -"Institute of Automation Chinese Academy of Sciences, National Lab of Pattern Recognition, Beijing, China",39.979203,116.33287,"China, Beijing, Haidian, 中关村东路95号" -"University of Shanghai for Science and Technology, China",31.29043,121.551957,"China, Shanghai Shi, Yangpu Qu, 军工路516号 邮政编码: 200093" -"Jiaying University, Guangdong, China",24.325387,116.128732,"China, Guangdong, Meizhou, Meijiang, 梅松路100号" -"GRAM, University of Alcalá, Alcalá de Henares, Spain",40.4824722,-3.3628674,"Plaza de San Diego, s/n, 28801 Alcalá de Henares, Madrid, Spain" -"Xinjiang University, Urumqi, China",43.765047,87.616153,"666 Shengli Rd, Tianshan Qu, Wulumuqi Shi, Xinjiang Weiwuerzizhiqu, China" -"University of California Riverside, Riverside, CA, USA",33.975932,-117.3567323,"California St, Riverside, CA 92507, USA" -"Changshu Institute of Technology, 215500, China",31.588178,120.777901,"99 Hushan Rd, Changshu Shi, Suzhou Shi, Jiangsu Sheng, China" -"Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France",45.7618799,3.1127133,"24 Avenue des Landais, 63170 Aubière, France" -"The City College of New York, 10031, USA",40.8200471,-73.9492724,"160 Convent Ave, New York, NY 10031, USA" -"Istituto Italiano di Tecnologia (IIT) & Università degli Studi di Genova, Genova, Italy",44.47493739999999,8.9062287,"Via Morego, 30, 16163 Genova GE, Italy" -"GIPSA-Lab, Grenoble Institute of Technology, France",45.1934415,5.7663115,"11 Rue des Mathématiques, 38400 Saint-Martin-d'Hères, France" -"D.S.M. College, Parbhani, India",19.2653666,76.76105179999999,"Masoom Colony, Parbhani, Maharashtra 431401, India" -"Computer Science & Engineering (CSE), IIIT Naya Raipur, Chhattisgarh, India",21.1284644,81.76616539999999,"Plot No. 7 Sector 24, Near Purkhoti Muktangan, Naya Raipur, Chhattisgarh 493661, India" -"University of São Paulo, São Carlos, Brazil",-22.0027046,-47.8986178,"Av. Trab. São Carlense, 400 - Parque Arnold Schimidt, São Carlos - SP, 13566-590, Brazil" -"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an City, 710049, China",34.250803,108.983693,"28 Xianning W Rd, JiaoDa ShangYe JieQu, Beilin Qu, Xian Shi, Shaanxi Sheng, China" -"LIFL UMR Lille 1-CNRS n 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d'Ascq, France",50.60426649999999,3.1382571,"Avenue Henri Poincaré, 59491 Villeneuve-d'Ascq, France" -"Kamala Nehru Institute of Technology, Sultanpur, India",26.2889816,82.0801808,"Sultanpur - Kadipur Rd, Sultanpur, Uttar Pradesh 228118, India" -"Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China",32.08025800000001,118.768159,"38 Guangdong Rd, Gulou Qu, Nanjing Shi, Jiangsu Sheng, China, 210028" -"Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey",35.220923,33.416627,"Uluslarararası Kıbrıs Üniversitesi Kampüsü, Haspolat" -"College of Information Engineering, Shenzhen, China",22.526348,113.938619,"Keyuan Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China" -"Chinese University of Hong Kong, China",22.4162632,114.2109318,"Hong Kong, 馬料水池旁路" -"Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia",-37.79806000000001,144.956038,"1G, Royal Parade, Parkville VIC 3052, Australia" -"University of Gothenburg, Gothenburg, Sweden",57.6981719,11.971878,"405 30 Gothenburg, Sweden" -"KAIST, Daejeon, South Korea",36.3721427,127.36039,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea" -"Room PQ809, Building P, The Hong Kong Polytechnic Univ, Hung Hom, Hong Kong",22.3045719,114.1795642,"11號 Yuk Choi Rd, Hung Hom, Hong Kong" -"SafranTech, Safran, Magny-les-Hameaux, France",48.743277,2.0863118,"Rue des jeunes Bois, 78117 Châteaufort, France" -"Fraunhofer Institute for Integrated Circuits IIS Nürnberg, Nürnberg, Germany",49.5474401,11.0199147,"Am Wolfsmantel 33, 91058 Erlangen, Germany" -"Surface Robotics Lab, Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur - 713209, West Bengal, India",23.543673,87.2926104,"Opposite NIT, Mahatma Gandhi Rd, City Center, Durgapur, West Bengal 713209, India" -"Institute for Neural Computation, University of Bochum, Germany",51.44566589999999,7.261609300000001,"Universitätsstraße 150, 44801 Bochum, Germany" -"Guilin University of Electronic Technology, Guilin 541004, China",25.28164,110.337304,"1 Jinji Rd, Qixing Qu, Guilin Shi, Guangxi Zhuangzuzizhiqu, China" -"Fakulti TeknologiDan Sains Maklumat, UKM, Bangi, 43600 Selangor, Malaysia",2.9179502,101.7712776,"43600 Bangi, Selangor, Malaysia" -"Telecom ParisTech, CNRS-LTCI, 46 rue Barrault, 75013 Paris, France",48.8262943,2.3464188,"46 Rue Barrault, 75013 Paris, France" -"University of Science Technology, Wuhan, China",30.508964,114.410577,"Yingbin Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073" -"China National Institute of Standardization, Beijing, China",39.975793,116.350638,"China, Beijing, Haidian, Xueyuan Rd, 学院路" -Microsoft,36.0630374,-95.8809966,"7021 S Memorial Dr, Tulsa, OK 74133, USA" -"Université de Biskra, Biskra, Algeria",34.8455802,5.7481915,"BP 145 RP، بسكرة 07000, Algeria" -"University of Texas at Austin; Facebook AI Research, Austin, USA",30.2849185,-97.7340567,"Austin, TX 78712, USA" -"College of Information Science & Technology, Hebei Agricultural University, Baoding, China",38.85062000000001,115.483159,"Qimin Rd, Nan Shi Qu, Baoding Shi, Hebei Sheng, China, 071000" -"University of Surrey Guildford, UK",51.2421839,-0.5905421,"388 Stag Hill, Guildford GU2 7XH, UK" -"Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France",45.1906157,5.7749356,"Université Grenoble Alpes, 1491 Rue des Résidences, 38610 Saint-Martin-d'Hères, France" -"Technical University of Cluj-Napoca, Romania",46.769299,23.585613,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania" -"College of Computer Science. Chongqing University, Chongqing, China",29.56488,106.468097,"China, Chongqing Shi, Shapingba Qu, ChongQing DaXue, 沙正街174号" -"Université Paris-Saclay, Paris",48.7075938,2.152889800000001,"Bat. Discovery RD 128, 91190 Saint-Aubin, France" -"TCTS Lab, Faculté Polytechnique de Mons, Belgium",50.4516856,3.959136599999999,"Boulevard Dolez 31, 7000 Mons, Belgium" -"University of Auckland, Auckland, New Zealand",-36.8523378,174.7691073,"Auckland 1010, New Zealand" -"Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK",53.4717306,-2.2399239,"John Dalton Building, Manchester Metropolitan University, Chester St, Manchester M1 5GD, United Kingdom" -"Visual Computing Group, Microsoft Research Asia, Beijing, China. xitang@microsoft.com",39.90419989999999,116.4073963,"Beijing, China" -"Sardina Systems, Tallinn, Estonia",59.43696079999999,24.7535747,"Tallinn, Estonia" -"Federal Institute of Education, Science and Technology of Paraiba, Esperança, Brazil",-7.1356496,-34.8739045,"Av. Primeiro de Maio, 720 - Jaguaribe, João Pessoa - PB, 58015-435, Brazil" -"M.I.T. College of Engineering Pune, India",18.519372,73.8149607,"Survey No. 124, Paud Road, MIT College Campus Ex, Shivtirthanagar, Kothrud, Pune, Maharashtra 411038, India" -"Adobe Systems, Inc.",37.3309307,-121.8940485,"345 Park Ave, San Jose, CA 95110, USA" -"Cyprus International University, Lefko¿a, North Cyprus",35.220923,33.416627,"Uluslarararası Kıbrıs Üniversitesi Kampüsü, Haspolat" -"Imagine, LIGM, Universite Paris-Est, France",48.840109,2.586253,"5 Boulevard Descartes, 77420 Champs-sur-Marne, France" -"Université Paris-Sud, 91405, Orsay, FRANCE",48.6976847,2.1764839,"15 Rue Georges Clemenceau, 91400 Orsay, France" -"Yahoo Research, USA",32.970001,-96.7054311,"1680 N Glenville Dr # 100, Richardson, TX 75081, USA" -Machine Learning GroupTechnische Universität Berlin,52.52000659999999,13.404954,"Berlin, Germany" -"IBM Research - Tokyo, Japan",35.6785417,139.7871238,"19-21 Nihonbashihakozakicho, Chūō, Tokyo 103-8510, Japan" -"Centre for Autonomous Systems at KTH Royal Institute of Technology, Stockholm, Sweden",59.34980649999999,18.0706646,"Brinellvägen 8, 114 28 Stockholm, Sweden" -"Leibniz Universität, Hannover, Germany",52.3829641,9.7196989,"Welfengarten 1, 30167 Hannover, Germany" -"College of Engineering, Trivandrum, Kerala, India",8.545851299999999,76.9063407,"Engineering College, Sreekaryam - Kulathoor Rd, Ambady Nagar, P O, Sreekariyam, Thiruvananthapuram, Kerala 695016, India" -"Center for OPTical IMagery Analysis and Learning and Xi'an Institute of Optics and Precision Mechanics, Xi'an, China",34.341574,108.93977,"Xi'an, Shaanxi, China" -"Electronics and Telecommunications Research Institute, Daejeon, Korea",36.383765,127.36694,"Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea" -"HAVELSAN A.Ş., Ankara, Türkiye",39.913434,32.776325,"NAMIK KEMAL MAHALLESİ, 06000 ÇANKAYA/Ankara, Turkey" -"Adv. Technol. Application Center, Havana",23.1135925,-82.3665956,"Havana, Cuba" -"Faculty of Engineering and the Built Environment, University of Johannesburg, Auckland Park, South Africa",-26.1945874,28.055636,"37 Nind Street, Doornfontein, Johannesburg, 2094, South Africa" -"Texas State University, San Marcos, TX, USA",29.888411,-97.938351,"601 University Dr, San Marcos, TX 78666, USA" -"Standards & Metrology Research Institute of CARS, Beijing, China",39.9681387,116.4193385,"18 N 3rd Ring Rd E, Chaoyang Qu, Beijing Shi, China" -"CEA LIST, Gif-sur-Yvette, France",48.7275193,2.1568488,"Bâtiment 565, 91191 Gif-sur-Yvette, France" -"Universitat de Barcelona, Barcelona, Spain",41.386608,2.16402,"Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain" -"University of Applied Sciences Erfurt, Applied Computer Science, Erfurtn, Germany",50.9847913,11.0414951,"Altonaer Str. 25, 99085 Erfurt, Germany" -"Honda Research Institute Europe GmbH, Offenbach, Germany",50.0847249,8.8406437,"Carl-Legien-Straße 30, 63073 Offenbach am Main, Germany" -"University of California, Berkeley, Berkeley, CA, 94720, USA",37.8718992,-122.2585399,"Berkeley, CA, USA" -"Enjoyor Co., Ltd, Hangzhou, China",30.274084,120.15507,"Hangzhou, Zhejiang, China" -"Harbin Institute of Technology University, 518055 Shenzhen, China",22.586752,113.96878,"China, Guangdong, Shenzhen, Nanshan, 平山一路" -"Assembly and Test Technology Development, Intel Corporation, Chandler, AZ, USA",33.3061605,-111.8412502,"Chandler, AZ, USA" -"UniversitiSains Malaysia, USM Engineering Campus, 14300 NibongTebal, Pulau Pinang, Malaysia",5.1460189,100.4928769,"Jln Transkrian - Bukit Panchor, 14300 Nibong Tebal, Pulau Pinang, Malaysia" -"Communication, Engineering and Information Technologies, University of Sassary, Italy",40.7259269,8.5556826,"07100 Sassari, Province of Sassari, Italy" -"University of Colorado at Denver, Denver, USA",39.7463596,-105.002342,"1201 Larimer St, Denver, CO 80204, USA" -"Robert Bosch GmbH, Renningen, Germany",48.7877512,8.9166976,"Robert-Bosch-Campus 1, 71272 Renningen, Germany" -"Image Understanding Group, Technische Universität München, Garching, Germany",48.267033,11.6755882,"James-Franck-Straße 1, 85748 Garching bei München, Germany" -"ETRI Daejeon, Korea",36.383765,127.36694,"Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea" -"LE2I Laboratory. Univ. Bourgogne Franche Comté, F21000, Dijon, France",47.312569,5.073612,"UFR Sciences et Techniques, allée Alain Savary, 21000 Dijon, France" -"Nagoya Institute of Technology, Showa-ku, Japan",35.1571349,136.9248384,"Gokisocho, Showa Ward, Nagoya, Aichi Prefecture 466-8555, Japan" -"Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba, 278-8510, Japan",35.9178581,139.9099878,"2641 Yamazaki, Noda, Chiba Prefecture 278-0022, Japan" -"Karadeniz Technical University, Trabzon, Turkey",40.9898738,39.7713825,"Üniversite Mahallesi, Karadeniz Teknik Üniversitesi Eczacılık Fakültesi, 61000 Ortahisar/Trabzon, Turkey" -"and Industrial Eng. and Operations Research, Univ. of California, Berkeley, USA",37.8756626,-122.2592805,"4141 Etcheverry Hall, Berkeley, CA 94720, United States" -"Beijing Institute of Technology, China",39.964431,116.310319,"Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China" -"National Electronics and Computer Technology Center, Thailand",14.0777859,100.6013131,"112 อุทยานวิทยาศาสตร์ ถนนพหลโ ยธิน Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand" -"CNRS, Heudiasyc UMR 7253, Sorbonne universités, Université de technologie de Compiègne, CS60319, Compiègne cedex, 60203, France",49.40075299999999,2.7952808,"57 Avenue de Landshut, 60200 Compiègne, France" -"Centro de Investigación en Matemáticas (CIMAT A.C.), Guanajuato, Mexico",21.042055,-101.2612028,"Callejón Jalisco s/n, Valenciana, 36023 Guanajuato, Mexico" -"Tokyo, Japan",35.6894875,139.6917064,"Tokyo, Japan" -"Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland",46.5190557,6.5667576,"Route Cantonale, 1015 Lausanne, Switzerland" -"Mila, Université de Montréal, Quebec, Canada",45.5307147,-73.6135931,"6666 Rue Saint-Urbain, Montréal, QC H2S 3H1, Canada" -"Simula Research Laboratory & University of Oslo, Oslo, Norway",59.89486239999999,10.6289345,"Martin Linges vei 25, 1364 Fornebu, Norway" -"Alibaba, Hangzhou, China",30.189964,120.1921,"699 Wangshang Rd, Binjiang Qu, Hangzhou Shi, Zhejiang Sheng, China" -"University of Malakand, Khyber Pakhtunkhwa, Pakistan",34.6692287,72.0621468,"Lower Dir, Khyber Pakhtunkhwa 18800, Pakistan" -"Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, MALAYSIA",3.0713472,101.5002144,"40450 Shah Alam, Selangor, Malaysia" -"Vishwakarma Institute of Technology, Pune",18.464077,73.867619,"666, Upper Indira Nagar, Bibvewadi, Pune, Maharashtra 411037, India" -"BSUIR, Minsk, Belarus",53.9188117,27.5937053,"vulica Pietrusia Broŭki 6, Minsk 220013, Belarus" -"Research & Technology Center, North American Robot Bosch LLC, 2835 East Carson Street Suite 210, Pittsburgh, 15203, USA",40.45533959999999,-79.9801741,"2555 Smallman St Suite 301, Pittsburgh, PA 15222, USA" -"Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 309, 3nd floor, 4nd research center, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-gun, Daegu, 711-873, Republic of Korea",35.705286,128.457102,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333" -"Johns Hopkins Hospital, Baltimore, MD, USA",39.2969464,-76.5941754,"Johns Hopkins Station (Metro), Baltimore, MD 21287, USA" -"IIT Madras, India",12.9914929,80.2336907,"Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India" -"HTC Research, Beijing, China",39.90419989999999,116.4073963,"Beijing, China" -"Dep. Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador",-0.3140516,-78.4456836,"Sangolqui 171103, Ecuador" -"Tsuruoka National College of Technology, Tsuruoka, Yamagata, Japan 997-8511",38.7097759,139.7974796,"Sawada-104 Inooka, Tsuruoka, Yamagata Prefecture 997-8511, Japan" -"Jaguar Land Rover Research, Coventry, UK",52.3855805,-1.560864,"Viscount Centre C, Milburn Hill Rd, Coventry CV4 7HS, United Kingdom" -"Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang, China",26.562691,106.707655,"133 Zunyi Rd, Nanming Qu, Guiyang Shi, Guizhou Sheng, China, 550002" -"Intel Belgium, Kontich, Belgium",51.14271,4.442972,"Veldkant 31, 2550 Kontich, Belgium" -"Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates",24.4473556,54.3949088,Abu Dhabi - United Arab Emirates -"BLDEA’s V. P. Dr. P. G. H. College of Engineering & Technology, Vijayapur, India",16.8484514,75.717529,"Ashram Rd, Adarsh Nagar, Vijayapura, Karnataka 586103, India" -"Olaworks, Inc., Seoul, Republic of Korea",37.566535,126.9779692,"Seoul, South Korea" -"Baylor College of Medicine, Houston, TX, USA",29.71052899999999,-95.39624099999999,"1 Baylor Plaza, Houston, TX 77030, USA" -"Chongqing Vocational College of Transportation, Chongqing, 402247, China",29.407238,106.276214,"Jiangjin, Chongqing, China" -"Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Austria",46.616079,14.2652899,"Universitätsstraße 65-67, 9020 Klagenfurt am Wörthersee, Austria" -"HERE North America LLC, Chicago, IL, USA",41.884179,-87.638849,"425 W Randolph St, Chicago, IL 60606, USA" -"Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China",39.979456,116.3284567,"China, Beijing, Haidian, Zhongguancun South 3rd St, 中关村" -"UIET, Panjab University, Chandigarh, India",30.7487629,76.7567191,"Chandigarh Rd, Sector 25, Chandigarh, 160036, India" -"University of Ulsan, Ulsan 680-749, Korea",35.5437411,129.2562843,"93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea" -"Institute of Mathematics of the Romanian Academy, Bucharest, Romania",44.4440696,26.0885844,"Calea Griviței 21, București, Romania" -"Information Security Group, City University London, EC1V 0HB London, U.K",51.5278249,-0.1025445,"Northampton Square, Clerkenwell, London EC1V 0HB, UK" -"BioCom - Bioinspired Computing Laboratory, University of Sao Paulo, Brazil",-23.5613991,-46.7307891,"São Paulo - State of São Paulo, Brazil" -"INRIA Grenoble, LEAR - LJK, Montbonnot, France",45.217886,5.807369,"655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France" -"College of Information and Technology, Incheon National University, Incheon, Korea",37.3750548,126.6328998,"119 Academy-ro, Songdo 1(il)-dong, Yeonsu-gu, Incheon, South Korea" -"Inha University, Incheon, Korea",37.4500221,126.653488,"100 Inha-ro, Yonghyeon 1(il).4(sa)-dong, Nam-gu, Incheon, South Korea" -"Alcala Univ., Madrid, Spain",40.4824722,-3.3628674,"Plaza de San Diego, s/n, 28801 Alcalá de Henares, Madrid, Spain" -"Computer Vision Group, Friedrich Schiller University Jena, Germany",50.9277671,11.5821729,"Ernst-Abbe-Platz 2, 07743 Jena, Germany" -"Robotics Institute at Carnegie Mellon University, USA",40.4432741,-79.9456995,"Pittsburgh, PA 15213, USA" -"Division of Pediatric Ophthalmology and Adult Strabismus, The Wilmer Eye Institute, Baltimore, USA",39.2965654,-76.59304259999999,"600 N Wolfe St, Baltimore, MD 21287, USA" -"Microsoft Research Asia, Beijing, China. rxiao@microsoft.com",39.90419989999999,116.4073963,"Beijing, China" -"MPI for Intelligent Systems, Tübingen, Germany",48.5357406,9.0580989,"Max-Planck-Ring 4, 72076 Tübingen, Germany" -"Graphic Era University, Dehradun, India",30.2684303,77.9936541,"566/6, Bell Road, Society Area, Clement Town, Dehradun, Uttarakhand 248002, India" -"Singapore-MIT Alliance for Research and Technology, Singapore",1.298575,103.772203,"4 Engineering Drive 3, Singapore 117583" -"Signal Network Technology Pty Ltd, Sydney, Australia",-33.8688197,151.2092955,"Sydney NSW, Australia" -"Mekatronik Mühendisliği, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye",40.985932,29.050153,"Göztepe Mahallesi, Fahrettin Kerim Gökay Cad. Göztepe Kampüsü, 34722 Kadıköy/İstanbul - Asya, Turkey" -"CVIT, KCIS, IIIT Hyderabad, India",17.4450981,78.3497678,"IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India" -"Chonnam National University University, Gwangju, Korea, Gwangju, Korea",35.1761175,126.9058167,"77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea" -"TWH-UHN, Toronto, ON, M5S1A8 Canada",43.6534667,-79.4052387,"399 Bathurst St, Toronto, ON M5T 2S8, Canada" -"German National Library of Science and Technology & Leibniz Universität Hannover, Hannover, Germany",52.381515,9.720170999999999,"TIB-Standort Technik/Naturwissenschaften, Welfengarten 1B, 30167 Hannover, Germany" -Chair of Materials Handling and Warehousing,42.2244719,-91.18953359999999,"1052 S Main St, Monticello, IA 52310, USA" -"Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany",51.4921902,7.4141362,"Emil-Figge-Straße 50, 44227 Dortmund, Germany" -"Departamento Acadêmico, Federal Institute of Goiás (IFG), Senador Canedo, Brazil",-16.7007943,-49.0984744,"R. Firmino Rodrigues do Nascimento, s/n - Jardim de Todos Os Santos, Sen. Canedo - GO, 75250-000, Brazil" -"CVIT, IIITH, India",17.4459581,78.3495994,"17, Old Mumbai Hwy, Vinayak Nagar, Gachibowli, Hyderabad, Telangana 500032, India" -"University of Udine, Via delle Scienze 206, 33100 Udine, Italy",46.0810723,13.2119474,"Università degli Studi di Udine, Via delle Scienze, 206, 33100 Udine UD, Italy" -"Idiap Research Institute and École Polytechnique Fédérale de Lausanne, Martigny, Valais, Switzerland",46.109376,7.084442999999999,"Rue Marconi 19, 1920 Martigny, Switzerland" -"Nanjing University of Science & Technology, Nanjing, People’s Republic of China",32.035225,118.855317,"China, Jiangsu, Nanjing, Xuanwu, 中山门外大街" -"Computer and Automation Research Institute H-1111, Kende u. 13-17, Budapest, Hungary",47.4782828,19.0521075,"Budapest, Kende u. 13, 1111 Hungary" -"Mathematical Modelling Research Group, Universidad EAFIT, Colombia",6.199548,-75.57934,"Carrera 49, número 7 sur 50, Medellín, Antioquia, Colombia" -"Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany",51.4921902,7.4141362,"Emil-Figge-Straße 50, 44227 Dortmund, Germany" -"National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan",36.0614634,140.1338907,"1 Chome-1-1 Umezono, Tsukuba, Ibaraki Prefecture 305-8560, Japan" -"Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing, China",32.20541,118.726956,"Pukou, Nanjing, China, 210044" -"University of Southern Mississippi, Hattiesburg, 39406, USA",31.32884159999999,-89.3315894,"Hattiesburg, MS 39406, USA" -"Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia",-33.8840504,151.1992254,"Building 11 University of Technology Sydney 81, Broadway, Ultimo NSW 2007, Australia" -"Road Environment Recognition Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan",35.1689843,137.0542921,"41番1 Yokomichi, Nagakute, Aichi Prefecture 480-1192, Japan" -"Chalmers University of Technology, Gothenburg, Sweden",57.6897063,11.9741654,"Chalmersplatsen 4, 412 96 Göteborg, Sweden" -"Institut Mines-Télécom, Télécom SudParis, Evry Cedex, France",48.6246883,2.4432511,"Courcouronnes, 9 Rue Charles Fourier, 91000 Évry, France" -"Dundalk Institute of Technology, Dundalk, Ireland",53.98488,-6.393994999999999,"Marshes Upper, Dundalk, Co. Louth, A91 K584, Ireland" -"CSIRO ICT Centre, Sydney, Australia",-33.7730744,151.098178,"Corner Vimiera & Pembroke Roads, Marsfield NSW 2122, Australia" -"Intel Labs Pittsburgh, Carnegie Mellon",40.4439789,-79.9464634,"4720 Forbes Ave, Pittsburgh, PA 15213, USA" -"Data61, CSIRO, Canberra, Australia",-35.2776999,149.118527,"North Road Australian National University, The Australian National University, Acton ACT 2601, Australia" -"Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria",46.616079,14.2652899,"Universitätsstraße 65-67, 9020 Klagenfurt am Wörthersee, Austria" -"Biometric and Image Processing Laboratory, Università di Salerno, Via Ponte don Melillo, Fisciano, 84084, Salerno",40.7687118,14.7920179,"Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy" -"Tianjin University of Commerce, Tianjin, China",39.1821223,117.1303827,"China, Tianjin, Beichen, Chuiliu Rd, 商业大学" -"Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)",35.705286,128.457102,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333" -"College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, China",39.083961,117.708631,"13th St, Binhai Xinqu, Tianjin Shi, China, 300457" -"University of Valladolid, Valladolid, Spain",41.6569271,-4.7140547,"C/Plaza de Santa Cruz, 8, 47002 Valladolid, Spain" -"University of Mauritius, Reduit, 230, Mauritius",-20.2338121,57.4975177,"Moka, Mauritius" -Arizona State University. zhaozheng@asu.edu,34.0489281,-111.0937311,"Arizona, USA" -"Bilgisayar Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye",39.94202190000001,32.823005,"Emniyet mah, Gazi Üniversitesi Rektörlüğü Teknik okulları, 06560 Yenimahalle/Ankara, Turkey" -"University Polytechnica of Bucharest, Bucharest, Romania",44.4386064,26.0494925,"Splaiul Independenței 313, București 060042, Romania" -"Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia",-6.3627638,106.8270482,"Jl. Margonda Raya, Pondok Cina, Beji, Kota Depok, Jawa Barat 16424, Indonesia" -"TELECOM & Management SudParis, Evry",48.6246883,2.4432511,"Courcouronnes, 9 Rue Charles Fourier, 91000 Évry, France" -"Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China",34.341574,108.93977,"Xi'an, Shaanxi, China" -"Toyota Technological Institute at Chicago, Chicago, USA",41.7846982,-87.5925848,"6045 S Kenwood Ave, Chicago, IL 60637, USA" -"BITS Pilani, Pilani , India",28.3588163,75.58802039999999,"Pilani, Rajasthan 333031, India" -Baidu,37.4092265,-122.0236615,"1195 Bordeaux Dr, Sunnyvale, CA 94089, USA" -"Elektrik ve Elektronik Mühendisliği Bölümü, TED Üniversitesi, Ankara, Türkiye",39.923257,32.861673,"Kültür Mahallesi, Ziya Gökalp Cd. 47-48, 06420 Çankaya/Ankara, Turkey" -"Laboratoire d'Informatique de Traitement de l'information et des Systemes(LITIS) Avenue de l'Universite-BP08, 76801, Saint-Etienne du Rouvray, France",49.387464,1.068785,"685 Avenue de l'Université, 76800 Saint-Étienne-du-Rouvray, France" -"Fujian Key Laboratory of the Brain-like Intelligent Systems, China",26.4836842,117.9249002,"Fujian, China" -"Faculty of Mechanical Engineering, University of Campinas. Rua Mendeleyev, 200 - CEP 13083-860 Cidade Universitária Zeferino Vaz - Campinas - SP",-22.8195706,-47.0659245,"R. Mendeleyev, 200 - Cidade Universitária, Campinas - SP, 13083-860, Brazil" -"Centre of Artificial Intelligence, FEIT, University of Technology, Sydney, Australia",-33.8832376,151.2004942,"15 Broadway, Ultimo NSW 2007, Australia" -"Discipline of Business Analytics, University of Sydney Business School, Camperdown, NSW 2006, Australia",-33.8921201,151.1908812,"Abercrombie Building H70, Corner Abercrombie Street and, Codrington St, Darlington NSW 2006, Australia" -"Shandong Agricultural University, College of Information Science and Engineering, China",36.19393760000001,117.1193702,"61 Daizong St, Taishan Qu, Taian Shi, Shandong Sheng, China, 271000" -"S.J.B. Inst. of Tech., Bangalore-560060, INDIA",12.8998841,77.49578819999999,"No.67, Uttarahalli Main Road, Kengeri, BGS Health & Education City, Bengaluru, Karnataka 560060, India" -"M.kumarasamy college of Engineering, Thalavapalayam, Karur, India",11.054935,78.048076,"Karur, Thalavapalayam, Tamil Nadu 639113, India" -"Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xuejia@mail.ustc.edu.cn",31.821994,117.28059,"1129 Huizhou Ave, Baohe Qu, Hefei Shi, Anhui Sheng, China, 230022" -"Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur, India",12.6731919,77.96601710000002,"NH-7, 17th KM Hosur to Krishnagiri Highways, Nallaganakothapalli, Near Koneripalli (Po), Hosur (Tk),, Krishnagiri (Dt), Tamil Nadu 635117, India" -"Siliguri Institute of Technology, Siliguri, India",26.7692922,88.3762014,"Hill Cart Road, Salbari, District Darjeeling, Sukna, West Bengal 734009, India" -"Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines, Oriental Mindoro, Philippines and John Paul College MG Andaya Compound, Oriental, Mindoro, Philippines",14.595315,120.987977,"363 P Casal, Quiapo, Manila, 1001 Metro Manila, Philippines" -"OLM Digital Inc, Setagaya, Japan",35.6432145,139.6612665,"Japan, 〒154-0023 Tokyo, Setagaya, Wakabayashi, 1 Chome−18−10 みかみビル" -"Anna University of Technology, Coimbatore, India",11.0425189,76.88607730000001,"Maruthamalai Main Road, Navavoor, Coimbatore(Dt), Tamil Nadu 641046, India" -"Banasthali Vidyapith, Banasthali, India",26.4026939,75.8750644,"Niwai - Jodhpuriya Rd, Vanasthali, Rajasthan 304022, India" -"Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France",43.5619687,1.4700537,"Route de Narbonne, 31330 Toulouse, France" -"Microsoft, Redmond, WA, USA",47.652922,-122.1422356,"5000 148th Ave NE, Redmond, WA 98052, USA" -"Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany",49.2550284,7.040975,"66123 Saarbrücken, Germany" -"Gazi University, Ankara, Turkey",39.94202190000001,32.823005,"Emniyet mah, Gazi Üniversitesi Rektörlüğü Teknik okulları, 06560 Yenimahalle/Ankara, Turkey" -"Rutgers Univ., Piscataway, NJ, USA",40.5008186,-74.44739910000001,"New Brunswick, NJ, USA" -"Faculty of Science, Sohag University, Egypt",26.5638914,31.7082506,"مدينة ناصر – شارع جامعة سوهاج سوهاج، 82524, Egypt" -"Cognition Technology Research Team, Electronics and Telecommunications Research Institute, Daejeon, 305-700, Republic of Korea",35.2253708,126.8461834,"1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea" -"Visual Intelligence Research Group Electronics and Telecommunications Research Institute, Daejeon, Korea",35.2253708,126.8461834,"1110-6 Oryong-dong, Buk-gu, Kwangju, South Korea" -"Military Technical College, Cairo, Egypt",30.0804218,31.2962575,"Ismail Al Fangari, El-Qobba Bridge, Al Waili, Cairo Governorate, Egypt" -"University of Catania, Italy",37.5035647,15.0864981,"Piazza Università, 2, 95124 Catania CT, Italy" -"University of Lyon, LIRIS - CNRS, National Institute of Applied Sciences (INSA), Lyon, France",45.7833244,4.8781984,"20 Avenue Albert Einstein, 69100 Villeurbanne, France" -"Youngstown State University, USA",41.10626,-80.6477,"1 University Plaza, Youngstown, OH 44555, USA" -Panimalar Institute of Technology,13.0528147,80.0749154,"No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu 600123, India" -"Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey",35.220923,33.416627,"Uluslarararası Kıbrıs Üniversitesi Kampüsü, Haspolat" -"Regional Centre IHRD, Thiruvananthapuram, India",8.5212718,76.9313215,"Puthuppally Lane,, Medical College Kumarapuram Rd, Thiruvananthapuram, Kerala, India" -"Research Center for Smart Vehicles, Toyota Technological Institute, Hisakata, Nagoya, Aichi, Japan",35.106576,136.983018,"2 Chome-12-1 Hisakata, Tenpaku Ward, Nagoya, Aichi Prefecture 468-0034, Japan" -"Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden",56.181932,15.5905254,"Valhallavägen 1, 371 41 Karlskrona, Sweden" -"College of Engineeing & informatics, National University of Ireland Galway Galway, Ireland",53.2839007,-9.0638652,"Galway, Ireland" -"Busan, Korea",35.1795543,129.0756416,"Busan, South Korea" -"University of Sassari, Computer Vision Laboratory, Porto Conte Ricerche, Tramariglio, Alghero, Italy",40.7259269,8.5556826,"07100 Sassari, Province of Sassari, Italy" -"Bangladesh University of Engineering and Technology(BUET), Dhaka-1000, Bangladesh",23.7276638,90.3928418,"BUET Central Road, Dhaka 1000, Bangladesh" -"Dap—University of Sassari, Italy",40.7248938,8.55979,"Piazza Università, 21, 07100 Sassari SS, Italy" -"Shri JJT University, Rajasthan",28.176763,75.2455438,"Jhunjhunu, Churu Road, Vidyanagari, Churela, Rajasthan 333001, India" -"College of Computer and Information Sciences, Chongqing Normal University, Chongqing, China",29.612289,106.30632,"Daxuecheng Middle Rd, Shapingba Qu, Chongqing Shi, China" -"Isfahan University of Technology, 8415683111 Isfahan, Iran",32.7190781,51.5319635,"Isfahan Province, Khomeyni Shahr, Daneshgah e Sanati Hwy, Iran" -"Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand",13.7972777,100.3263216,"Salaya, Phutthamonthon District, Nakhon Pathom 73170, Thailand" -"Intel Corporation, Hudson, MA, USA",42.3814042,-71.55469529999999,"75 Reed Rd, Hudson, MA 01749, USA" -"Center of Excellence in Science and Technology, Islamabad, Pakistan",33.749424,73.1365174,"Islamabad, Islamabad Capital Territory 44000, Pakistan" -"Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China",39.10394429999999,117.1742232,"94 Weijin Rd, Nankai Qu, China, 300071" -"University of Bucharest, 14 Academiei Street, Bucharest, Romania",44.4354633,26.0996883,"Strada Academiei 14, București 010014, Romania" -"Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India",23.1276623,72.5436929,"Sarkhej-Gandhinagar Highway, Chandlodia, Gota, Ahmedabad, Gujarat 382481, India" -"Departamento de Ingeniería Informática, University of La Laguna, Santa Cruz de Tenerife, Spain",28.4810941,-16.3158443,"Calle Padre Herrera, s/n, 38200 San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain" -a,37.09024,-95.712891,"Independence, KS 67301, USA" -"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy",45.4786698,9.2324209,"5 Politecnico di Milano, Via Giuseppe Ponzio, 34, 20133 Milano MI, Italy" -"Visionlab at Heriot-Watt University, UK",55.9096602,-3.3203494,"Edinburgh Campus, Boundary Rd N, Edinburgh EH14 4AS, UK" -"Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613",1.2925539,103.7754144,"21 Heng Mui Keng Terrace, #02-01-01 I-Cube Building,National University of Singapore, Singapore 119613" -"Institute of Robotics, Innopolis University, Russia",55.753449,48.74341099999999,"Universitetskaya St, 1, Innopolis, Respublika Tatarstan, Russia, 420500" -"Thiagarajar College of Engineering, Madurai, TN 625015 India",9.8828839,78.0825296,"GST Road, Thiruparankundram, Tamil Nadu 625015, India" -"UCSD, San Diego, USA",32.8800604,-117.2340135,"9500 Gilman Dr, La Jolla, CA 92093, USA" -14,37.9887844,-87.5946271,"1115 Mt Auburn Rd, Evansville, IN 47720, USA" -"Carnegie Mellon University and Disney Research, Pittsburgh",40.4428081,-79.94301279999999,"5000 Forbes Ave, Pittsburgh, PA 15213, USA" -"Pace University, New York, USA",40.7111197,-74.00485669999999,"1 Pace Plaza, New York, NY 10038, USA" -"Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China",26.424084,106.673534,"Xiahui Rd, Huaxi Qu, Guiyang Shi, Guizhou Sheng, China, 550025" -"Madhav Institute of Technology & Science, Gwalior, India",26.2314164,78.2053181,"Racecourse Rd, Near Gola ka Mandir, Mela Ground, Thatipur, Gwalior, Madhya Pradesh 474005, India" -"Intel Corp., Santa Clara, USA",37.3875909,-121.9637869,"2200 Mission College Blvd, Santa Clara, CA 95054, USA" -"Atlanta, 30332, USA",33.7700012,-84.3811458,"Atlanta, GA 30332, USA" -"Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan",25.0419819,121.6154552,"115, Taiwan, Taipei City, Nangang District, 研究院路二段128號" -"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany",49.5978804,11.0045507,"Schloßplatz 4, 91054 Erlangen, Germany" -"Central China Normal University, China",30.518801,114.358401,"152 Luoyu Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430072" -"BBN Technologies, Cambridge, USA",42.3898055,-71.1475986,"10 Moulton St, Cambridge, MA 02138, USA" -"Transportation Active Safety Institute (TASI), Indiana University-Purdue University Indianapolis, 46202 USA",39.7738832,-86.1763393,"420 University Blvd, Indianapolis, IN 46202, USA" -Engineering Mathematics - Computer and Systems Engineering,42.7296206,-73.6802931,"110 8th St, Troy, NY 12180, USA" -Disney Research Pittsburgh,40.4439789,-79.9464634,"4720 Forbes Ave, Pittsburgh, PA 15213, USA" -"Control and Mgmt. Engineering, University of Rome La Sapienza, Italy",41.9583881,12.5058133,"Via Salaria, 875, 00191 Roma RM, Italy" -"University of Technology, Baghdad, Iraq",33.3121039,44.4469538,"شارع الصناعة، Baghdad, Iraq" -"I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France",43.6153024,7.0674433,"Euclide B, 2000 Route des Lucioles, 06900 Sophia Antipolis, France" -"Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France",48.8476037,2.2639934,"3 Rue Michel Ange, 75016 Paris, France" -"University of Texas at El Paso, 500 W University Ave - El Paso TX 79968",31.7708544,-106.5046216,"500 W University Ave, El Paso, TX 79902, USA" -"University of Bari Aldo Moro, Bari, Italy",41.1205546,16.8684745,"Piazza Umberto I, 1, 70121 Bari BA, Italy" -IIT-M,12.9914929,80.2336907,"Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India" -"Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore",1.2988926,103.7873107,"1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" -"Micro and Nano Devices and Materials Branch in the Sensors and Electron Devices Directorate at the US Army Research Laboratory, Adelphi, MD 20783",39.0298587,-76.9638027,"2800 Powder Mill Rd, Adelphi, MD 20783, USA" -"Fraunhofer Institute for Computer Graphics Research, Technology University of Darmstadt, Darmstadt, Germany",49.87421699999999,8.659512,"Fraunhoferstraße 5, 64283 Darmstadt, Germany" -"University of Electronic Science and Technology, Sichuan, China",30.788537,103.888902,"China, Sichuan, Chengdu, Pixian, 王桥路" -"Siddaganga Institute of Technology, Tumakuru-572103, India",13.3268979,77.12609479999999,"Bengaluru - Honnavar Rd, Chandana Complex, Tumakuru, Karnataka 572103, India" -"Dipartimento di Ingegneria dell'Informazione Università Politecnica delle Marche, Via Brecce Bianche, 60131, Ancona, Italy",43.586786,13.516777,"Via Brecce Bianche, 1, 60131 Ancona AN, Italy" -"Università degli Studi di Cagliari, Italy",39.21736569999999,9.1149218,"Via Università, 40, 09124 Cagliari CA, Italy" -"FXPal, Palo Alto, CA, USA",37.40615,-122.1508335,"3174 Porter Dr, Palo Alto, CA 94304, USA" -"Auckland University of Technology, Auckland, New Zealand",-36.8532194,174.7673188,"55 Wellesley St E, Auckland, 1010, New Zealand" -"Pontifícia Universidade Católica do RS, Porto Alegre-RS, Brazil",-30.0593446,-51.1734912,"Av. Ipiranga, 6681 - Partenon, Porto Alegre - RS, 90619-900, Brazil" -"Singapore Block S2.1, 50 Nanyang Avenue, Singapore 639798",1.3432988,103.6804332,"50 Nanyang Ave, Singapore 639798" -"Medical College Kolkata, Kolkata, India",22.5737463,88.36191529999999,"88, College St, Calcutta Medical College, College Square, Kolkata, West Bengal 700073, India" -"Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka",13.0149872,77.57103029999999,"Electrical Engineering Depratment, Indian Institute of Science, Bangalore, Javanica Marg, Mathikere, Bengaluru, Karnataka 560012, India" -"Honda Research Institute (HRI) Europe, Carl-Legien-Str. 30, 63073 Offenbach, Germany",50.0847249,8.8406437,"Carl-Legien-Straße 30, 63073 Offenbach am Main, Germany" -NICTA,42.0087741,-87.89585489999999,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA" -"Hunan University of Science and Engineering, Yongzhou, Hunan China, 425006",26.206312,111.609275,"79 Yangzitang Rd, Lingling Qu, Yongzhou Shi, Hunan Sheng, China" -"Federal University of Piauí, Teresina, Brazil",-5.0586047,-42.7985212,"Campus Universitário Ministro Petrônio Portella, s/n - Ininga, Teresina - PI, 64049-550, Brazil" -"Faculty of Media Engineering and Technology, German University in Cairo, Egypt",29.9866381,31.44142179999999,"Cairo Governorate, Egypt" -"Computer Vision Center, Bellaterra, Spain",41.5008957,2.111553,"Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain" -"Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan",25.006681,121.535731,"No. 88, Section 4, Tingzhou Road, Wenshan District, Taipei City, Taiwan 116" -"Computer and Telecommunications Engineering, University of Wollongon, North Wollongon, Australia",-34.4069666,150.8809885,"University of Wollongong, 4, G14 Northfields Ave, North Wollongong NSW 2500, Australia" -"Faculty of Engineering - Port-Said, Suez Canal University, Port Fouad 42523, Egypt",31.24647909999999,32.3140508,"Port Fouad, Port Said Governorate, Egypt" -"Tokyo University of Marine Science and Technology, Japan",35.6269717,139.7476452,"4 Chome-5-7 Konan, Minato, Tokyo 108-8477, Japan" -"Laboratory of Autonomous Robotics, Ben-Gurion University of the Negev, Beer Sheva, Israel",31.262218,34.801461,"שד' בן-גוריון 1, באר שבע, Israel" -"Institute of Information Engineering, CAS, State Key Laboratory of Information Security, Beijing, China",39.97426,116.21589,"Minzhuang Rd, Haidian Qu, Beijing Shi, China, 100042" -"University of Nebraska-Lincoln, Lincoln 68503, NE, United States",40.8201966,-96.70047629999999,"1400 R St, Lincoln, NE 68588, USA" -"Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; emine.krichen@it-sudparis.eu",48.6246883,2.4432511,"Courcouronnes, 9 Rue Charles Fourier, 91000 Évry, France" -"École Normale Supérieure / PSL Research University, Paris, France",48.8422058,2.3451689,"45 Rue d'Ulm, 75005 Paris, France" -"Bell Laboratories Research, Murray Hill, NJ, USA",40.6838482,-74.4011339,"600 Mountain Ave bldg 5, Berkeley Heights, NJ 07922, USA" -"Harman International Industries, India",19.110881,72.908299,"Hiranandani Gardens, Powai, Mumbai, Maharashtra 400076, India" -"Computer Vision and Systems Laboratory, Laval University, Quebec, Canada",46.7791242,-71.2762657,"1065 Avenue de la Médecine, Québec, QC G1V 0A6, Canada" -"Henan University of Technology, Zhengzhou 450001, China",34.829495,113.551715,"100 Lianhua St, Zhongyuan Qu, Zhengzhou Shi, Henan Sheng, China, 450066" -"Sevagram, Wardha, RTMNU, Nagpur, India",21.1468555,79.050062,"Amravati Rd, Ram Nagar, Nagpur, Maharashtra 440033, India" -"Institut Universitaire de France (IUF), Paris, France",48.856614,2.3522219,"Paris, France" -"Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany",48.7863462,9.2380718,"Mercedesstraße 128, 70327 Stuttgart, Germany" -6,37.09024,-95.712891,"Independence, KS 67301, USA" -"UFMG, Brazil",-19.8690878,-43.9663841,"Av. Pres. Antônio Carlos, 6627 - Pampulha, Belo Horizonte - MG, 31270-901, Brazil" -"Faculty of Electrical Engineering, University Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia",3.073356,101.4977189,"Jalan Ilmu 1/1, Universiti Teknologi Mara, 40450 Shah Alam, Selangor, Malaysia" -"Jiangxi Agricultural University, Nanchang, China",28.762772,115.832826,"1225 Zhimin Ave, Qingshanhu Qu, Nanchang Shi, Jiangxi Sheng, China, 330029" -Tsinghua University and DeePhi,39.9996674,116.3264439,"30 Shuangqing Rd, Haidian Qu, Beijing Shi, China" -"EMMi - Entertainment and Media Management Lab., Tampere University of Technology (TUT), Tampere, Finland",61.44897999999999,23.8590618,"Korkeakoulunkatu 6, 33720 Tampere, Finland" -"Computer Aided Medical Procedures, Technische Universität München, Germany",48.263011,11.666857,"Boltzmannstraße 3, 85748 Garching bei München, Germany" -"University of Miyazaki, >Japan",31.8309938,131.4126201,"Japan, 〒889-2192 Miyazaki Prefecture, Miyazaki, 学園木花台西1丁目1" -"Wuhan University of Science and Technology, 947 Heping road, 430081, Wuhan, China",30.621883,114.370852,"China, Hubei, Wuhan, Qingshan, 和平大道947号" -"University of Applied Sciences Aschaffenburg, Germany",49.9711961,9.160562299999999,"Würzburger Str. 45, 63743 Aschaffenburg, Germany" -"Shenzhen Graduate School, Peking University Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 518055",22.592813,113.974264,"2199 Lishui Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518055" -India,20.593684,78.96288,India -"Chonnam National University, Gwangju, Korea",35.1761175,126.9058167,"77 Yongbong-ro, Yongbong-dong, Buk-gu, Kwangju, South Korea" -"California State University, Fullerton",33.8829226,-117.8869261,"800 N State College Blvd, Fullerton, CA 92831, USA" -"LRIT, associated unit to CNRST (URAC 29), Mohammed V University in Rabat, B.P. 1014, Rabat, Morocco",33.9702335,-6.874473,"Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.، Rabat 10102, Morocco" -"University of Girona, ATC, Girona, Spain",41.96328219999999,2.830426300000001,"Plaça de Sant Domènec, 3, 17004 Girona, Spain" -"Sungkyul University, Anyang-si, Republic of Korea",37.384408,126.933618,"Sungkyul Christian Univ., Anyang Art Center, Myeonghak Station, Anyang-dong, Anyang, South Korea" -India,20.593684,78.96288,India -"SQUALIO Cloud Consulting, Riga, Latvia",56.956864,24.1137821,"Krišjāņa Valdemāra iela 21, Centra rajons, Rīga, LV-1010, Latvia" -"Huawei Research and Development, Santa Clara, CA, USA",37.373444,-121.9648727,"2330 Central Expy, Santa Clara, CA 95050, USA" -"Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea",37.566535,126.9779692,"Seoul, South Korea" -"Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China",22.527438,113.948565,"Nanshan, Shenzhen, China, 518057" -"Active and passive safety vehicle system development, Continental Safety Engineering International GmbH, Alzenau, Bayern, Germany",50.09079329999999,9.0414817,"Carl-Zeiss-Straße 9, 63755 Alzenau, Germany" -"Institute for Mathematical Stochastics, University of Göttingen, Germany",51.165691,10.451526,Germany -"Graph@FIT, Brno University of Technology, Brno, Czech Republic",49.20171999999999,16.6033168,"1 548 Antonínská Brno-střed Brno Česká republika, 601 90, Czechia" -"Xi’an Jiaotong-Liverpool University, Suzhou, China",31.274822,120.738094,"Wuzhong, Suzhou, China, 215123" -"Guangzhou, China",23.12911,113.264385,"Guangzhou, Guangdong, China" -"Al Imam Muhamad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia",24.8135951,46.7019289,"Imam Muhammad Ibn Saud Islamic University, Riyadh Saudi Arabia" -"Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye",41.0288022,28.89001429999999,"Çifte Havuzlar Mahallesi, 34220 Esenler/İstanbul, Turkey" -"Jinan University, Guangzhou, China, 510632",23.128057,113.347721,"601 Huangpu W Ave, TianHe GongYuan, Tianhe Qu, Guangzhou Shi, Guangdong Sheng, China" -Disney Research,34.1579742,-118.2894729,"521 Circle 7 Dr, Glendale, CA 91201, USA" -"College of Graduate Studies, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia",2.9787375,101.7348466,"Jalan Ikram-Uniten, Institut Latihan Sultan Ahmad Shah, 43000 Kajang, Selangor, Malaysia" -"Western University, London, Canada",43.0095971,-81.2737336,"1151 Richmond St, London, ON N6A 3K7, Canada" -"NEC Corporation, Data Science Research Laboratories, Shimonumabe Nakahara-Ku, Kawasaki Kanagawa, 1753, Japan",35.5707688,139.6666468,"1753 Shimonumabe, Nakahara Ward, Kawasaki, Kanagawa Prefecture 211-0011, Japan" -"Osaka Electro-Communication University, 18-8 Hatsucho, Neyagawa, Japan",34.7600597,135.6275702,"18-8 Hatcho, Neyagawa, Osaka Prefecture 572-8530, Japan" -"UFMG & Kunumi, Belo Horizonte, Brazil",-19.8852292,-43.9748059,"Rua Professor José Vieira de Mendonça, 770 - sala 208 - Engenho Nogueira, Belo Horizonte - MG, 31310-260, Brazil" -"Nippon Soken, Nishio, Japan",34.877,137.131859,"Japan, 〒445-0012 愛知県西尾市下羽角町岩谷14" -"University of California at Los Angeles, Los Angeles, CA",34.068921,-118.4451811,"Los Angeles, CA 90095, USA" -"King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand",13.7298665,100.7783111,"Thanon Chalong Krung, Lat Krabang, Khet Lat Krabang, Krung Thep Maha Nakhon 10520, Thailand" -"Computer Science & Engineering, UIET, Chandigarh, India",30.7487629,76.7567191,"Chandigarh Rd, Sector 25, Chandigarh, 160036, India" -"Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan",33.8941968,130.8394083,"1-1 仙水町 戸畑区 北九州市 福岡県 804-8550, Japan" -"Reykjavik University, Reykjavík, Iceland",64.123722,-21.9268961,"Menntavegur 1, 101 Reykjavík, Iceland" -"University of Athens, Panepistimiopolis, Ilisia, Athens, Greece",37.9758224,23.7518284,"Michalakopoulou 25, Athina 115 28, Greece" -"Florida Institute of Technology, Melbourne, USA",28.0646888,-80.62302199999999,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA" -"Electrical, Electronics & Automation Section, Universiti Kuala Lumpur, 09000 Kulim Hi-Tech Park, Malaysia",5.3848129,100.5745007,"Lot 13-16, Kulim Hi-Tech Park, Kedah, 09000 Kulim, Malaysia" -"King Abdulaziz University, Jeddah, Saudi Arabia",21.494102,39.232617,"Al Ehtifalat St, Jeddah 21589, Saudi Arabia" -Institute of Image Transmission and Information Processing Shanghai Jiao Tong University,31.0252201,121.4337784,"China, Shanghai, Minhang, 东川路 邮政编码: 200240" -"Delft University of Technology and Sensor Technology, Netherlands Defense Academy",52.0021256,4.3732982,"Mekelweg 5, 2628 CD Delft, Netherlands" -"University of Applied Sciences Berlin (HTW), Berlin, Germany",52.4932009,13.5254933,"Treskowallee 8, 10318 Berlin, Germany" -"Université de Technologie Compiègne, 60200 Compiègne, France",49.4152242,2.8191144,"rue Roger Coutolenc, 60200 Compiègne, France" -"Jawaharlal Nehru University, New Delhi, India",28.540214,77.1661949,"New Mehrauli Road, Delhi 110067, India" -"Jawaharlal Nehru Technological Univ., Hyderabad, India",17.4957629,78.39382119999999,"Jawaharlal Nehru Technological University, Kukatpally, Hyderabad, Telangana 500085, India" -"Auckland University of Technology , Auckland, New Zealand",-36.8532194,174.7673188,"55 Wellesley St E, Auckland, 1010, New Zealand" -"Providence University, Taichung, Taiwan, R.O.C.",24.2258027,120.5771913,"No. 200號, Section 7, Taiwan Boulevard, Shalu District, Taichung City, Taiwan 433" -"Harbin Inst. of Technol., China",45.7470436,126.6334306,"92 Xidazhi St, Nangang Qu, Haerbin Shi, Heilongjiang Sheng, China, 150006" -"Otto-von-Guericke, University of Magdeburg, Magdeburg, Germany",52.1402053,11.6441991,"Universitätspl. 2, 39106 Magdeburg, Germany" -"Key Laboratory of Machine Perception (Ministry of Education), Peking Univ., Beijing, China",39.990608,116.314633,"Zhongguancun N St, Haidian Qu, Beijing Shi, China, 100871" -"National Formosa University, Yunlin 632, Taiwan",23.703108,120.430151,"No. 64, Wenhua Road, Huwei Township, Yunlin County, Taiwan 632" -"IMAGO Research Group - Universidade Federal do Paraná, P.O. Box 19092, 81531-980, Curitiba - PR, Brasil",-25.4269081,-49.2617658,"Rua XV de Novembro, 1299 - Centro, Curitiba - PR, 80060-000, Brazil" -"AnKe Smart City Technology Company Ltd., Shenzhen, China",22.543096,114.057865,"Shenzhen, Guangdong, China" -"Houston Univ., TX, USA",29.736724,-95.3931825,"3800 Montrose Blvd, Houston, TX 77006, USA" -"Robert Bosch GmbH, Hildesheim, Germany",52.11667120000001,9.8966786,"Robert-Bosch-Straße 200, 31139 Hildesheim, Germany" -"Tsinghua Univ., Beijing, China",39.9996674,116.3264439,"30 Shuangqing Rd, Haidian Qu, Beijing Shi, China" -"Universidad Católica San Pablo, Arequipa, Perú",-16.3901384,-71.5357161,"Quinta Vivanco s/n, Urb. Campiña Paisajista, Arequipa 04001, Peru" -"Hansei University, Kyonggi, Korea",37.3468471,126.9524528,"30 Hanse-ro, Dangjeong-dong, Gunpo-si, Gyeonggi-do, South Korea" -"IT University of Copenhagen, Copenhagen, Denmark",55.65963499999999,12.590958,"Rued Langgaards Vej 7, 2300 København, Denmark" -"FSU, Tallahassee, Tallahassee, FL, USA",30.4418778,-84.2984889,"600 W College Ave, Tallahassee, FL 32306, USA" -"Lanzhou University of Finance and Economics, Lanzhou 730020, China",36.044192,103.894042,"Duanjiatan Rd, Chengguan Qu, Lanzhou Shi, Gansu Sheng, China" -"S.J.B. Inst. of Tech. Bangalore-560060, India",12.8998841,77.49578819999999,"No.67, Uttarahalli Main Road, Kengeri, BGS Health & Education City, Bengaluru, Karnataka 560060, India" -"University of Applied Sciences, Technikum Wien, Vienna, Austria",48.23928309999999,16.3773241,"Höchstädtpl. 6, 1200 Wien, Austria" -"Center of Informatics, Federal University of Pernambuco, Recife, Brazil",-8.0556506,-34.951206,"Cidade Universitária, Recife - State of Pernambuco, 50740-540, Brazil" -"Shanghai University of Finance and Economics, Shanghai, China",31.306594,121.494038,"318 Wuchuan Rd, WuJiaoChang, Yangpu Qu, Shanghai Shi, China, 200433" -"Sensing and Control Technology Laboratory, Omron Corporation, Japan",36.204824,138.252924,Japan -"LIRIS, INSA-Lyon, CNRS, UMR5205, University of Lyon, Lyon, France",45.7280307,4.825942899999999,"7 Passage du Vercors, 69007 Lyon, France" -"Nanjing University of Posts and Telecommunications, Nanjing, 210023, P.R. China",32.105748,118.931701,"9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046" -"Université Jean Monnet, Laboratoire Hubert Curien - UMR CNRS 5516, 18 rue du Professeur B. Lauras, 42000 Saint-Etienne, France",45.453192,4.3861253,"Bâtiment F, 18 Rue Professeur Benoît Lauras, 42000 Saint-Étienne, France" -"Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China",39.980196,116.333305,"Haidian, China, 100080" -"University of Sichuan, Chengdu, China",30.649512,104.188179,"China, Sichuan, Chengdu, Longquanyi, 十陵镇" -"INRIA Grenoble-Rhône-Alpes Research Center, France",45.217886,5.807369,"655 Avenue de l'Europe, 38330 Montbonnot-Saint-Martin, France" -"WILLOW Project, Département d’Informatique de l’École Normale Supérieure, ENS/INRIA/CNRS UMR 8548, Paris, France",48.8422058,2.3451689,"45 Rue d'Ulm, 75005 Paris, France" -"LIVIC (INRETS/LCPC), 14 route de la minière, building 824, 78000 Versailles - Satory, France",48.78243,2.101919,"building 824, 14 Route de la Minière, 78000 Versailles, France" -"Institute of Computer Science, Foundation for Research and Technology—Hellas, Heraklion, Greece",35.3387352,25.1442126,"Heraklion, Greece" -"Escuela de Ingeníeria Informática, Universidad Católica de Temuco, Temuco, Chile",-38.7359018,-72.5903739,"Temuco, Araucania, Chile" -"Huanggang Normal University, Huangzhou, China",30.447561,114.927401,"China, Hubei, Huanggang, Huangzhou, Xingang 2nd Rd, 新港二路" -"Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany",50.255698,10.9550818,"96450 Coburg, Germany" -"Machine Intelligence Laboratory, Sichuan University Chengdu, China",30.663964,104.071022,"China, Sichuan, Chengdu, Qingyang, Shuncheng St, 252号顺吉大厦10层B1-B2 邮政编码: 610017" -"Imperial College, London, UK",51.49879970000001,-0.1748772,"Kensington, London SW7 2AZ, UK" +78fd41d5138b2b920d5b0e151da89ea4eff7560f,Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals,India,India,India,20.59368400,78.96288000,edu, diff --git a/scraper/reports/doi_institutions_unknown.csv b/scraper/reports/doi_institutions_unknown.csv index b67edfa0..7ddb7de0 100644 --- a/scraper/reports/doi_institutions_unknown.csv +++ b/scraper/reports/doi_institutions_unknown.csv @@ -1,114 +1,54 @@ 39652bfdf5574ed7ae59dcfdcd2ca0396b9e0cba,A scene-specific deformable part-based model for object detection,School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University -399aa3c151a684bdee68cceccdf2c037cbe60aab,A robust illumination classifier using rough sets,"Computer Engineering Department, S.V. National Institute of Technology, Surat, 329507, India" -399aa3c151a684bdee68cceccdf2c037cbe60aab,A robust illumination classifier using rough sets,"NYSS College of Engineering and Research, Nagpur, 441 110, India" -39a5f2ab4474b8532aaccb68e3b705e5100a628e,Sparse Representation for Computer Vision and Pattern Recognition,"Visual Computing Group, Microsoft Research Asia, Beijing, China" -39a5f2ab4474b8532aaccb68e3b705e5100a628e,Sparse Representation for Computer Vision and Pattern Recognition,"Laboratoire d'Informatique de l'Ecole Normale Supérieure (INRIA/ENS/CNRS UMR 8548), INRIA-Willow project, Ecole Normale Supérieure, Paris, France" 39316490f69f9469d0142ba42b3deb5d29d70ec5,A rubost and fast eyes locating algorithm,"School of Computer Science and Communication Engineering, Guangxi University of Science and Technology, Liuzhou, 545006 China" 39e43f391e6b6ce0055e80e53aa5218b77098439,Mobile based pedestrian detection with accurate tracking,"Intelligent Systems Lab (LSI) from Universidad Carlos III de Madrid, Leganés, Spain" -39a20428734b1b38b8e93c1c23283f4c85ff27f4,A Hierarchical Multimodal Attention-based Neural Network for Image Captioning,"Shanghai University of Finance and Economics, Shanghai, China" 39971d444d54fd9569692f1a03f94d847161dbf7,Thorax biometrics from millimetre-wave images,"TNO Defence, Security and Safety, P.O. Box 96864, 2509 JG The Hague, The Netherlands" 3953b89a9001c8816c3c56b778e28b246524786c,A robust facial feature detection on mobile robot platform,"Korea Electronics Technology Institute (KETI), Kyunggi-Do, Korea" 39aac8a92315edfdde7f4f2ced20e998a1a3d70e,Yawning Detection Using Embedded Smart Cameras,"Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil" -39aac8a92315edfdde7f4f2ced20e998a1a3d70e,Yawning Detection Using Embedded Smart Cameras,"CongniVue Corporation, Gatineau, QC, Canada" -394276284bfdb5049aedbe94b215e81b1bf4fb03,PSO versus AdaBoost for feature selection in multimodal biometrics,"University of Mysore, Mysore, India & institut TELECOM, TELECOM and Management SudParis, France" 394276284bfdb5049aedbe94b215e81b1bf4fb03,PSO versus AdaBoost for feature selection in multimodal biometrics,"Institut TELECOM, TELECOM and Management SudParis, France" -394276284bfdb5049aedbe94b215e81b1bf4fb03,PSO versus AdaBoost for feature selection in multimodal biometrics,"Channabasaveshwara Institute of Technology, Gubbi, India" -394276284bfdb5049aedbe94b215e81b1bf4fb03,PSO versus AdaBoost for feature selection in multimodal biometrics,"University of Mysore, Mysore, India" -39610b2e660ec2e33b28f477657d49e3d1f58a0e,Dual Objective Feature Selection and Scaled Euclidean Classification for face recognition,"Dept. of Electronics and Comm., M.S. Ramaiah Inst. of Tech., Bangalore - 560054, India" -39610b2e660ec2e33b28f477657d49e3d1f58a0e,Dual Objective Feature Selection and Scaled Euclidean Classification for face recognition,"Dept. of Electronics and Comm., S.J.B. Inst. of Tech., Bangalore - 560060, India" -3901489fd02e47c1f4b16b55f6d27192be5dc652,Movie Scene Recognition Using Panoramic Frame and Representative Feature Patches,"School of Software, Beijing Institute of Technology, Beijing, China" -39c09940e03fe5c0e6c9da28253cddfeb25a4aca,Face recognition using the wavelet approximation coefficients and fisher's linear discriminant,"Department of Telecommunication Engineering, Beijing Information Science and Technology University, China" -398310036d4da84b0ccc8682e3ec1a6da36f123b,Monocular vision based distance estimation algorithm for pedestrian collision avoidance systems,"Mando Softtech India Pvt. Ltd., Gurgaon, India" -3965ff8cee7e1542740d9ba5096ace33fc2f4980,An efficient illumination compensation based on plane-fit for face recognition,"Shanghai Institute of Applied Physics, Chinese Academy of Science, China" 393d34faf86df2c9d8246a7d6ba669133fe9207d,Visual tracking of a moving object via the soft cosine measure,"LIIAN Laboratory, Department of Informatics, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco" 39d22694f676fc324e52d831892076fa6e4456d8,A Confidence-Based Update Rule for Self-updating Human Face Recognition Systems,"Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain" -39b765988e8bb6f650218c839640cac56e62adc8,Deep Cross-Domain Fashion Recommendation,"KTH - Royal Institute of Technology, Stockholm, Sweden" -393b428f8f6a3f94cb9303ba9ee5441a1ab9e48e,Anomaly detection based on sparse coding with two kinds of dictionaries,"The Department of Electronic Engineering, BoHai University, JinZhou, China" -3980dadd27933d99b2f576c3b36fe0d22ffc4746,A facial expression recognition method based on cubic spline interpolation and HOG features,"Department of Automation, North-China University of Technology, Beijing, China" 39df8bc28c6a5ba494bf2d31f68bba06acf934a5,Moving object tracking for aerial video coding using linear motion prediction and block matching,"Institut für Informationsverarbeitung, Gottfried Wilhelm Leibniz Universität Hannover, Hannover, Germany" -3972e4a91194c260d236c50671e39282ae0384e9,Multipoint infrared laser-based detection and tracking for people counting,"Guangdong University of Foreign Studies, Guangzhou, China" 39674d06b0df1df8d29f7a68d6588d5a94f1414c,Fully automated blink detection for uveal melanoma radiotherapy,"Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Turkey" 394312107f88fa7fca10347d719e183a0d345b08,Revisiting 3D geometric models for accurate object shape and pose,"Max-Planck-Institute for Informatics, Saarbrücken, Germany" 3957b51b44f8727fe008162ea8a142a8c7917dea,Fully automatic pose-invariant face recognition via 3D pose normalization,"Mitsubishi Electric Research Laboratories, Cambridge, MA, USA" -398b1f4e3402faf92c47187efd29c746d51a08ca,An efficient method for face recognition under varying illumination,"Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China" 391642ec5ade3579654a14c3644af6f086af0158,Comparison of PCA and LDA based face recognition algorithms under illumination variations,"Department of Computer Engineering, Sejong University, Seoul, Korea" -b606f64a792d6055e45d0a854b9fffbc857a393d,Two dimensional synthetic face generation and verification using set estimation technique,a b606f64a792d6055e45d0a854b9fffbc857a393d,Two dimensional synthetic face generation and verification using set estimation technique,b b6d5b71f78226c8696d7502e4514feb575088979,Selecting and evaluating data for training a pedestrian detector for crowded conditions,"Digital Imaging Research Centre, Kingston University Kingston-upon-Thames KT1 2EE, UK" -b6d5b71f78226c8696d7502e4514feb575088979,Selecting and evaluating data for training a pedestrian detector for crowded conditions,"Roke Manor Research Romsey, Hampshire SO51 0ZN, UK" b6049a15e204327e44b6d1ee3a1148bd7e21c635,Single view image based — 3D human pose reconstruction,"HMI Lab, VNU Hanoi University of Engineering and Technology, Hanoi, Vietnam" b6bb883dd14f2737d0d6225cf4acbf050d307634,“A Leopard Cannot Change Its Spots”: Improving Face Recognition Using 3D-Based Caricatures,"Department of Computer Science, Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal" -b64a94c42df080196acb74cd06847297e361ff62,Pedestrian detection based on DCT of multi-channel feature,"College of Communications Engineering, PLA University, of Science and Technology, Nanjing, China" -b6685941588febbf66f9bf6a074cd548bc8a567f,Proficient facial expression recognition using HLACLF extraction with a bank of Bayesian classifiers for recognition,"Information Technology, NICHE, Noorul Islam University, Kumaracoil, Thuckulay, India" b69752efd9c76ba1b902ce49d0ce741d50ae78cf,Improving video event retrieval by user feedback,"TNO, The Hague, Netherlands" -b69752efd9c76ba1b902ce49d0ce741d50ae78cf,Improving video event retrieval by user feedback,"Radboud University, Nijmegen, Netherlands" b69752efd9c76ba1b902ce49d0ce741d50ae78cf,Improving video event retrieval by user feedback,"Leiden University, Leiden, Netherlands" -b63246b95d5711486ddec96c214316f885a52b18,Automatic Face Segmentation and Facial Landmark Detection in Range Images,"IMAGO Research Group, Universidade Federal do Paraná, Curitiba-PR, Brazil" b6ae677b26da039e0112e434d40baf7dd929a3ba,Facial emotion recognition method based on Pyramid Histogram of Oriented Gradient over three direction of head,"Department of Electrical Engineering Isfahan University Isfahan, Iran" -b61cf5daf24c5d66110cf0ec6c32ca39f252c0ae,Similarity metric learning for face verification using sigmoid decision function,"Shanghai Jiaotong University, Shanghai, China" -b61cf5daf24c5d66110cf0ec6c32ca39f252c0ae,Similarity metric learning for face verification using sigmoid decision function,"Tencent Inc., Shanghai, China" b62ce008de40a54edd08e82af59f88704ced60dd,Audio-visual biometric recognition via joint sparse representations,"School of Engineering and Information Technology, Murdoch University, Australia" -b674bacb45c1c96e9c93792019478a7760fbe7a6,Tracking multiple pedestrians through detection failures in videos,"School of Computer Science and Engineering, Changshu Institute of Technology, 215500, China" -b674bacb45c1c96e9c93792019478a7760fbe7a6,Tracking multiple pedestrians through detection failures in videos,"School of Electrical and Automatic Engineering, Changshu Institute of Technology, 215500, China" b6cff4ba590eab964bc49e079ed1a72a49d9e3e3,Multiple object tracking based on motion segmentation of point trajectories,"CERTH/ITI, Thessaloniki, Greece" -b6cff4ba590eab964bc49e079ed1a72a49d9e3e3,Multiple object tracking based on motion segmentation of point trajectories,"ECE/UPATRAS, Patras, Greece" -b6aa10c634aeaf1af841ffcdb2fe7d3825f1870b,Identity authentication system using face recognition techniques in human-computer interaction,"School of Automation Engineering, Shanghai University of Electric Power, 200090, China" -b6aa10c634aeaf1af841ffcdb2fe7d3825f1870b,Identity authentication system using face recognition techniques in human-computer interaction,"School of Electronic and Information Engineering, Shanghai University of Electric Power, 200090, China" -b67e6f9c38d9cd2c41fa906e177b449094159039,Multi-race age estimation based on the combination of multiple classifiers,"NEC Soft, Ltd., 1-18-7 Shinkiba, Koto-ku, Tokyo 136-8627, Japan" -b61fd19071b887e7f7b91c1473af9fc653a560d7,A Deep Learning Approach For Pedestrian Segmentation In Infrared Images,Technical University of Cluj-Napoca -b6601a8e30751770baaa9ac429d2592451f9d4ac,Feature combination for binary pattern classification,"Department of Electrical Engineering, IIT Delhi, New Delhi, India" -b6601a8e30751770baaa9ac429d2592451f9d4ac,Feature combination for binary pattern classification,"School of Engineering, Shiv Nadar University, Gautam Buddha Nagar, India" -b68875e99baa9118a6df314e947d6fbfa78e29d6,Human skin detection using histogram processing and Gaussian Mixture Model based on color spaces,"Department of Information Technology, PCE, New Panvel, Navi Mumbai, India" cda356a979c0a57e1051830551f657db249e3c45,Architecture for Dynamic Allocation of Computer Vision Tasks,"Austrian Institute of Technology, Donau-City-Straße 1, Vienna, Austria" cd5d1e54ed6b97550c7871050d512f21aae27f9d,Image recognition based on discriminative models using features generated from separable lattice HMMS,"Department of Computer Science and Engineering, Nagoya Institute of Technology, Japan" cdeb16d4d2825da9df9982ed0bcf822d598d75d1,Person re-identification in multi-camera networks,"Fraunhofer IOSB, Ettlingen, Germany" -cd74d606e76ecddee75279679d9770cdc0b49861,Transfer Learning of Structured Representation for Face Recognition,"Department of Mathematics, JiaYing University, Meizhou, China" -cd8b6a831c0120a0f22befa500bdaf11eabd3439,An increment coefficient method for face recognition,"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China" cdd30bd77c7a4fa21176a21498f65f6b8b873965,Facial emotion recognition with the hidden Markov model,"SICISI unit, ESSTT, University of Tunis, 5 Av. Taha Hussein, I008, Tunis, Tunisia" cdd30bd77c7a4fa21176a21498f65f6b8b873965,Facial emotion recognition with the hidden Markov model,"Labo Handibio, University of Toulon-Var, France" cd331931b4657b39ee1ac57471cdc5a484661e50,Inter-Cluster Thread-to-Core Mapping and DVFS on Heterogeneous Multi-Cores,"Hampshire, United Kingdom" cd331931b4657b39ee1ac57471cdc5a484661e50,Inter-Cluster Thread-to-Core Mapping and DVFS on Heterogeneous Multi-Cores,"Colchester, Essex, United Kingdom" -cd27e8dcd5e4b495d5a0d0094f8fab72bb3b1295,Plantation monitoring and yield estimation using autonomous quadcopter for precision agriculture,"IIIT Hyderabad, India" -cd27e8dcd5e4b495d5a0d0094f8fab72bb3b1295,Plantation monitoring and yield estimation using autonomous quadcopter for precision agriculture,"Uurmi Systems Lab, Hyderabad, India" -cde66b2f8c7f2e8b808073cc82f49fecfa0da04d,QRKISS: A Two-Stage Metric Learning via QR-Decomposition and KISS for Person Re-Identification,"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China" -cde66b2f8c7f2e8b808073cc82f49fecfa0da04d,QRKISS: A Two-Stage Metric Learning via QR-Decomposition and KISS for Person Re-Identification,"College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China" -cd64530a910ba28cbd127c78913dd787184f8e6d,Asymmetric region Local Binary Pattern operator for person-dependent facial expression recognition,"Dept of CSE, IIT, Guwathi, India" cd63759842a56bd2ede3999f6e11a74ccbec318b,Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression,"Hebei University of Technology, School of Science, Tianjin, P. R. China" cdb61fc4841e68c574f87137d93d8c63aca4ad89,Gender-selective neural populations: evidence from event-related fMRI repetition suppression,"The Brain and Mind Institute, The University of Western Ontario, London, Canada" cdb61fc4841e68c574f87137d93d8c63aca4ad89,Gender-selective neural populations: evidence from event-related fMRI repetition suppression,"Department of Psychology, The University of Western Ontario, London, Canada" cdb61fc4841e68c574f87137d93d8c63aca4ad89,Gender-selective neural populations: evidence from event-related fMRI repetition suppression,"Graduate Program in Neuroscience, The University of Western Ontario, London, Canada" cdb61fc4841e68c574f87137d93d8c63aca4ad89,Gender-selective neural populations: evidence from event-related fMRI repetition suppression,"Cognitive Neuroscience Cluster, Southern Cross University, Coffs Harbour, Australia" -cd7551569c460c19139377a90d554b57b506b831,Multi-pose face detection for accurate face logging,Media Integration and Communication Center - University of Florence cdf246d2eb993e80786443a984729b874f958657,Obstacle avoidance using stereo-based generic obstacle tracking,"Institute of Mathematics and Computer Sciences, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil" cdf246d2eb993e80786443a984729b874f958657,Obstacle avoidance using stereo-based generic obstacle tracking,"São Carlos School of Engineering, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil" -cd87eb67fcb32cc4e0fc0503d9dcb5766298602b,"The influence of camera shakes, harmful occlusions and camera misalignment on the perceived quality in user generated video","Distributed Multimedia Systems Technical University of Darmstadt, Germany" 5375a3344017d9502ebb4170325435de3da1fa16,Computer Vision – ACCV 2012,"Microsoft Research Asia, Beijing, P.R. China" 539ae0920815eb248939165dd5d1b0188ff7dca2,Probabilistic Linear Discriminant Analysis for Inferences About Identity,"Department of Computer Science, University College London. s.prince@cs.ucl.ac.uk" 539ae0920815eb248939165dd5d1b0188ff7dca2,Probabilistic Linear Discriminant Analysis for Inferences About Identity,"Center for Vision Research, York University. jelder@yorku.ca" 53b84c6887bb5c0a02e15b581132eb38f4a69bec,A Multiscale Fusion Convolutional Neural Network for Plant Leaf Recognition,School of Information Science and TechnologyBeijing Forestry University -53b84c6887bb5c0a02e15b581132eb38f4a69bec,A Multiscale Fusion Convolutional Neural Network for Plant Leaf Recognition,"School of Information Science and Technology, Beijing Forestry University, Beijing, China" -53b84c6887bb5c0a02e15b581132eb38f4a69bec,A Multiscale Fusion Convolutional Neural Network for Plant Leaf Recognition,"College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China" 538a38193de5df19a095fc7187f5972de0461195,PoliCym: Rapid Prototyping of Resource Management Policies for HMPs,University of California -53449d684a621f299030bc2078d32774abfae7e7,An integrated method of copy-move and splicing for image forgery detection,"Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India" -53df8b8f6fc1b2e4631a08c2dfce2e8978b0da54,A video cloud platform combing online and offline cloud computing technologies,"Department of Software Engineering, China University of Petroleum, Qingdao, China" 537f8c50369490cc90303522dd4ab80100fa1e59,Exploring feature dimensionality reduction methods for enhancing automatic sport image annotation,"Faculty of Computer and Information Sciences, Information Systems Department, Ain Shams University, Cairo, Egypt" -53d39f9260c6ee29dbf118382be91ea09475e628,Interactive objects retrieval with efficient boosting,"INRIA, Rocquencourt, France" 5334e8f42130fb632afafa629a46ab1f0955a86f,Multi-view people surveillance using 3D information,"D.I.I. - University of Modena and Reggio Emilia, Italy" 5334e8f42130fb632afafa629a46ab1f0955a86f,Multi-view people surveillance using 3D information,"Computer and Automation Research Institute, Hungarian Academy of Sciences, Hungary" 5311ab5db9e221f123c983efe58f18b6989b4230,Find you wherever you are: geographic location and environment context-based pedestrian detection,"Ricoh Company, Ltd., Yokohama, Japan" 534166ab1f6525cc05839a658705aa7443e548b0,Local descriptors to improve off-line handwriting-based gender prediction,"Faculty of Electronics and Computer Sciences University of Sciences and Technology Houari Boumediene Algiers, Algeria" -53282ff3b130e9503c5d9e8ae77a2d63ac68e07c,Two-stage scheme for false alarm suppression on fast face detection,"Koolsee MideaNet Company Limited, Hong Kong, China" -53282ff3b130e9503c5d9e8ae77a2d63ac68e07c,Two-stage scheme for false alarm suppression on fast face detection,"Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong, China" -53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c,An optimized target tracking algorithm of online boosting,"College of Science, Air Force Engineering University, Xi'an, 710051, China" -53d446afc33bd7cf1c9d5d24ab41c0ad6af1fc3c,An optimized target tracking algorithm of online boosting,"College of air traffic control and navigation, Air Force Engineering University, Xi'an 710051, China" 53fdcc3a5a7e42590c21bbb4fe90d7f353ca21e5,Local appearance modeling for objects class recognition,"Computer Science Department, University of Jijel, Ouled Aissa, Jijel, Algeria" -53fdcc3a5a7e42590c21bbb4fe90d7f353ca21e5,Local appearance modeling for objects class recognition,"LIRIS, Université de Lyon, UMR CNRS 5205, Université Lyon 2, Bron, France" -53d62069f115cdcedec90ee6b7249281039f8272,An Enhanced Histogram of Oriented Gradients for Pedestrian Detection,"School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China" -53d62069f115cdcedec90ee6b7249281039f8272,An Enhanced Histogram of Oriented Gradients for Pedestrian Detection,"School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili Nanshan District Shenzhen, Guangdong Province, China" 5389daf4ac8961b08908f0f1f168579b1ce67dc8,Gender Recognition from a Partial View of the Face Using Local Feature Vectors,"Dpto. Lenguajes y Sistemas Informáticos, Universidad Jaume I. Castellón de la Plana, Spain" 5327241cdbfcfa39abadb4753c7f3706bc24f94a,Face verification using local binary patterns generic histogram adaptation and Chi-square based decision,"Division Architecture des Systmes et Multimedia, Centre de Developpement des Technologies Avancees, CDTA, Algeria" 53ee5798cc8224db919a957594ebd72fdac60e2f,Head detection using Kinect camera and its application to fall detection,"Department of Computer Science and Operations Research, University of Montreal, Canada" -14d0de03d21faf6e26bc81f9aa8c5d768489223c,Semi-Supervised Cross-View Projection-Based Dictionary Learning for Video-Based Person Re-Identification,"School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China" 14e31e4d3e4cbf53dac78220e0be467c5c7807ee,"Toward a non-intrusive, physio- behavioral biometric for smartphones","University of Colorado Boulder, Boulder, CO, USA" 14e31e4d3e4cbf53dac78220e0be467c5c7807ee,"Toward a non-intrusive, physio- behavioral biometric for smartphones","University of Colorado, Boulder, CO, USA" 148a5fa66480afa7744409cde659f79c7c9b3fdc,Progressive search space reduction for human pose estimation,"University of Granada, UK" @@ -120,44 +60,27 @@ cd87eb67fcb32cc4e0fc0503d9dcb5766298602b,"The influence of camera shakes, harmfu 1469b18d0bb62b01ef4012eeedc478536897dbc3,Bridging vision and commonsense for multimodal situation recognition in pervasive systems,"Institute of Computer Engineering, University of Lübeck, Germany" 1469b18d0bb62b01ef4012eeedc478536897dbc3,Bridging vision and commonsense for multimodal situation recognition in pervasive systems,"Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Italia" 14bf36c03e6fd5171794a2d56d18748b1ab3fd17,Challenges and design space of gaze-enabled public displays,"LMU Munich, Munich, Germany" -14f6309369cc8d4826df11522de318b266df3bd5,Delving deeper into convolutional neural networks for camera relocalization,"Intel Labs China, Intel Corporation, 100090, Beijing, China" 148126a62db13a2ceb2ad38d0c0a95e609bd59fc,Improving speech recognition with audio-visual tandem classifiers and their fusions,"Sabancı Üniversitesi, Turkey" -14efb131bed66f1874dd96170f714def8db45d90,Capturing AU-Aware Facial Features and Their Latent Relations for Emotion Recognition in the Wild,"Intel Labs China, Beijing, China" 141b01205db1886e78096162a20f24fc2f2f064a,De-identifying people in videos using neural art,"University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, HR-10000 Zagreb, Croatia" 141b01205db1886e78096162a20f24fc2f2f064a,De-identifying people in videos using neural art,"Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia" 14aed1b7c08c941b1d2ba6c1c2ffb6255c306c74,Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations,"Laboratoire d’imagerie de vision et d’intelligence artificielle, École de technologie supérieure, Université du Québec, Montreal, Canada" -14aed1b7c08c941b1d2ba6c1c2ffb6255c306c74,Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations,"Laboratoire d’interprétation et de traitement d’images et vidéo, Polytechnique Montréal, Montreal, Canada" 1429ed6d33341df1670db45356b5374a2fe8a636,NOctoSLAM: Fast octree surface normal mapping and registration,"Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany" 141baee5b83ecbe7242b6f3b8e8b55a8f2e484a9,Emotion Expression and Conversation Assessment in First Acquaintance Dialogues,"University of Copenhagen and University of Malta, Copenhagen, Denmark" 149f3cc167b046dc790b1f4f1c48eeb31e898403,A study of vehicle detector generalization on U.S. highway,"Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States" -144d19b3f820c96b7816842356dadebf16678a8e,RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing,"School of Electrical Engineering, KAIST, Daejeon, South Korea" 144d19b3f820c96b7816842356dadebf16678a8e,RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing,"Adobe Research, San Jose, CA, USA" 14261ffecd904d9aff97d98c70e49ec1d870112f,Online learning based multiple pedestrians tracking in thermal imagery for safe driving at night,"Dept. of Computer Engineering of Keimyung University, Daegu 704701 S. Korea" -146b852de824ac9e105175ec0d82346e9f9cf083,Biometric data software representation in distributed computing architectures,"Hyperion University Bucharest, Romania" -146b852de824ac9e105175ec0d82346e9f9cf083,Biometric data software representation in distributed computing architectures,"“Lumina” The University Of South-East Europe, Bucharest, Romania" 149e866def710ceb77d87ed1d3153701cde946aa,Enhancing retailer marketing with an facial recognition integrated recommender system,"Data Analytics Technology & Applications Research Institute, Institute for Information Industry" 14bfa18bc0a9eaf28732948813c764390c80acc4,Joint operator detection and tracking for person following from mobile platforms,"Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070 Koblenz, Germany" -142f2241bf5205f5c270141cfa6c0e9c4666601b,Face recognition based on discriminant waveletfaces,"Department of Mathematics and Mechanics, Applied Science School, University of Science and Technology Beijing, 100083, China" -142f2241bf5205f5c270141cfa6c0e9c4666601b,Face recognition based on discriminant waveletfaces,"Faculty of Science, Qiqihar University, 161006, China" 10d0405b6c2072c0258430ab0b4f193f67db317c,Energy-efficient acceleration of big data analytics applications using FPGAs,"Computer Science Department, University of California Los Angeles" 10064de078ea535d9f7f3c63f4bb8de351aa4070,Surround view pedestrian detection using heterogeneous classifier cascades,"Group Research of Daimler AG in Ulm, Germany" 10064de078ea535d9f7f3c63f4bb8de351aa4070,Surround view pedestrian detection using heterogeneous classifier cascades,"Institute of Neural Information Processing, University of Ulm" -1047af2458917a7924b9fae64773ebc3aae06748,Recognition between smiling and neutral facial display with power LBP operator,"Institute of Informatics, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland" -1047af2458917a7924b9fae64773ebc3aae06748,Recognition between smiling and neutral facial display with power LBP operator,"Institute of Automatic Control, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland" 1033ca56c7e88d8b3e80546848826f572c4cd63e,Hierarchical ranking of facial attributes,"IBM T. J. Watson Research, Center, New York, USA" 1033ca56c7e88d8b3e80546848826f572c4cd63e,Hierarchical ranking of facial attributes,"University of California, Santa Barbara, California, USA" 10f4d6b419365b75d63f24c8e71a3440ed5b5dc3,Impact of watermarking on offline signature verification in intelligent bio-watermarking systems,"Laboratoire d' Imagerie, de Vision, et d'Intelligence Artificielle, École de Technologie Superiéure ( ÉTS), University of Quebec, 1100, rue Notre-Dame Ouest, Montreal, Canada, H3C 1K3" 10952c8fed04a5847192decdecfeee03c9ea997f,Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification,"Department of Data Analysis and Mathematical Modeling, Ghent University, Ghent, Belgium" -101c0e66ad693e357bd42f1de310fde3390e8595,Improving Bag-of-Words model with spatial information,"The University of Waikato, Knighton Road, Hamilton, New Zealand" -10acb3445cbd8224f1ab6616f00b212586bbb967,Face super-resolution using a hybrid model,"Graduate University of Chinese Academy of Sciences, Beijing, 100049, China" -10acb3445cbd8224f1ab6616f00b212586bbb967,Face super-resolution using a hybrid model,"North China University of Technology, Beijing, 100041, China" -10773068ad7bd63bb7e92df01499c29928ca122e,Road boundary detection based on information entropy,"School of Automation, Northwestern Polytechnic University, Xi'an, 710072, China" 10773068ad7bd63bb7e92df01499c29928ca122e,Road boundary detection based on information entropy,"Department of Information, Compiègne University of Technology, 60200, France" 10773068ad7bd63bb7e92df01499c29928ca122e,Road boundary detection based on information entropy,"Laboratoire de Mécanique des Fluides et d'Acoustique(LMFA)-UMR 5509, Institut national des sciences appliquées de Lyon, 69621, France" 10f16af880a8c7127c1b343a25fdc936c2bd5b11,Face recognition approach based on 2D discrete fractional Fourier transform,"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, P.R. China" -10f16af880a8c7127c1b343a25fdc936c2bd5b11,Face recognition approach based on 2D discrete fractional Fourier transform,"College of Information Science and Engineering Henan University of Technology Zhengzhou, 450001, P.R. China" -10791a00b28ace9729895f3d287a7147acdc8944,When to Learn What: Deep Cognitive Subspace Clustering,"Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China" -10791a00b28ace9729895f3d287a7147acdc8944,When to Learn What: Deep Cognitive Subspace Clustering,"Inst. of Computing Tech., CAS & Univ. of Chinese Academy of Sciences & Key Lab of Big Data Mining and Knowledge Management, CAS, Beijing, China" 10fe1c3d32398ee5492b72e230e74615ed31bca3,A Novel Beard Removal Method based on Structural Similarity and Co-ordinate Transformations,"Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com" 10fe1c3d32398ee5492b72e230e74615ed31bca3,A Novel Beard Removal Method based on Structural Similarity and Co-ordinate Transformations,"Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India e-mail: ankumfec@iitr.ernet.in" 10d6b12fa07c7c8d6c8c3f42c7f1c061c131d4c5,Histograms of oriented gradients for human detection,"INRIA Rhone-Alps, Montbonnot, France" @@ -165,191 +88,100 @@ cd87eb67fcb32cc4e0fc0503d9dcb5766298602b,"The influence of camera shakes, harmfu 10760edf9718677c75f8814b487d08ae7cb120a7,Sparse discriminative region selection algorithm for face recognition,"Department of Electronics and IT Media Engineering, Seoul National University of Science & Technology, Seoul, Korea" 104451aacac7120f1aca9fc2e9ab33bca1a62e2b,HOOFR: An enhanced bio-inspired feature extractor,"SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, France" 1025c4922491745534d5d4e8c6e74ba2dc57b138,Auto-Calibrated Gaze Estimation Using Human Gaze Patterns,"Amsterdam University College, Amsterdam, The Netherlands" -10aff52a74c75742e6b7379e581a6760f80ae8f9,Multimodal biometrie recognition using human ear and profile face,"School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India" -10aff52a74c75742e6b7379e581a6760f80ae8f9,Multimodal biometrie recognition using human ear and profile face,"Department of ICT, FM University, Balasore, Odisha, India" 100b416ac4c0867dd683e75249941a4a6e178071,Pre collision detection system for pedestrian safety based on HOL,"LGS, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco" -100b416ac4c0867dd683e75249941a4a6e178071,Pre collision detection system for pedestrian safety based on HOL,"LRIT, associated unit to CNRST 29, Faculty of Sciences, Mohammed V University, Rabat, Morocco" 105ee3d197af63c761730069981ae3bb1c4f90bd,Improved 3-D facial representation through statistical shape model,"Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central, Lancashire, Preston PR1 2HE, United Kingdom" 10e155151d3a364b1249e765edf178f1c519c3ab,Improving 3D face reconstruction from a single image using half-frontal face poses,"IMAGO Research Group, Universidade Federal do Paraná, Brazil" -103b33d0006cae8fdbc9998b3136264771cfe025,Face recognition using Homomorphic Filtering as a pre-processing technique,"Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, INDIA" -103b33d0006cae8fdbc9998b3136264771cfe025,Face recognition using Homomorphic Filtering as a pre-processing technique,"Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, INDIA" 1be15c1b5755c6176b2894abf05aafd15e43d6d9,Monocular 3D human pose estimation by classification,"Multimedia Computing Lab, University of Augsburg, Germany" -1be15c1b5755c6176b2894abf05aafd15e43d6d9,Monocular 3D human pose estimation by classification,"IIT Guwahati, 781039, Assam, India" 1bd2ac7fa16af540f2c7ef753a5ab06ce54d3d02,Person re-identification based on combined Gaussian weighted Fisher vectors,"REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, Department of computer science, College of AlGhat, Majmaah university, Riyadh, KSA" -1b4add23ab3e3ce40d8ec48120bd710d8b53d2c2,Locality preserving partial least squares for neighbor embedding-based face hallucination,"North Automatic Control Technology Institute, Taiyuan, 030006, China" -1b55e82aa07b9e0009627e1d44a52b37ee26e24d,Information Theoretic Subspace Clustering,"Alibaba Group, Beijing, China" 1b9976fea3c1cf13f0a102a884f027d9d80a14b3,Building a game scenario to encourage children with autism to recognize and label emotions using a humanoid robot,"R&D Centre Algoritmi, School of Engineering, University of Minho, Portugal" -1b51e3e98c8b2a2977cdfabc8483dd55c9dcad3f,Deep Objective Image Quality Assessment,"TU Wien, Vienna, Austria" 1b544dc335311da2314444e9c11c4940dcd4edec,Probabilistic Linear Discriminant Analysis for intermodality face recognition,"College of Information and Computer Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, KSA" 1b2d743e4cce2293ae67930d44000ff1d3f53619,Autonomous Traffic Management: Open Issues and New Directions,"University Moulay Ismail, Meknes, Morocco" -1b3166913b72ac6faf6e6dbc5e96a9e53cd577c6,Weakly Supervised Object Detection via Object-Specific Pixel Gradient,"Toutiao AI Lab, Beijing, China" -1b1868679e392d87079407e5c161c9c6031f3543,Mobile Video Broadcasting Services: Combining Video Composition and Network Efficient Transmission,"TU Darmstadt, Darmstadt, Germany" 1bf46be0a8ec177a27db32c523f98d18e2c4c922,Pedestrian detection with an improved Adaboost,"Multimedia Signal Analysis Lab at Electronics & Comms, Eng. Dpt., Electrical & Electronics Faculty, Yildiz, Technical University, Istanbul, Turkey" 1b66b3b8ae9d1f2f673bdd12ccb0c326393ef302,"Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning From Unlabeled Videos and 3D-Shape Retrieval","Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia" 1b66b3b8ae9d1f2f673bdd12ccb0c326393ef302,"Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning From Unlabeled Videos and 3D-Shape Retrieval","Department of Electrical Engineering, Computer Vision Laboratory, Linköping University, Linköping, Sweden" 1bcf142e3b2f5a7ade185f220ee031657203c293,Data-augmentation for reducing dataset bias in person re-identification,"Centre for Secure Information Technologies (CSIT), Queen's University Belfast, BT7 1NN, United Kingdom" 1b12c10ccf3a814d7465c67542ae7b0f76521a81,Instance search retrospective with focus on TRECVID,"Dakota Consulting, Inc., Silver Spring, USA" 1b12c10ccf3a814d7465c67542ae7b0f76521a81,Instance search retrospective with focus on TRECVID,"TNO, The Hague, The Netherlands" -1b12c10ccf3a814d7465c67542ae7b0f76521a81,Instance search retrospective with focus on TRECVID,"Leiden University, Leiden, The Netherlands" 1be4e4fd9cc7ba114456d9aab2935236f0e1a91d,Warping approach for rearview pedestrian detection with fish eye cameras,"Data Science Research Laboratories, NEC Corporation. Kawasaki, Japan" -1b1027b3b03ed19fe579a32319b3e251efebb3c7,On-chip Object Recognition System Using Random Forests,"Computational Intelligence and Systems Science, Tokyo Institute of Technology-Japan, Email: osman@isl.titech.ac.jp" -1ba7a9c0e658a0d98253f999bf43c2e98c07f4e0,Real-time visual tracking using compressive sensing,"NICTA, Canberra Research Laboratory, ACT, Australia" e474ddf96196f464dde83b2f018db9e1bcfeb87f,Image Analysis and Processing - ICIAP 2017,"University of Catania, Catania, Italy" -e474ddf96196f464dde83b2f018db9e1bcfeb87f,Image Analysis and Processing - ICIAP 2017,"University of Milano-Bicocca, Milan, Italy" e4f3e0951fd66abe3b5dfbca88f676df82846214,Automatic age classification with LBP,"Department of Computer Engineering, Karadeniz Technical University, Trabzon, Turkey" -e4ada3966980ac76b0173ff9a0c407759647f2fa,Cross-modal Retrieval by Real Label Partial Least Squares,"University of Chinese Academy of Sciences & Chinese Academy of Sciences, Beijing, China" -e4253d4f6e5bbcfac7176f39eacaecf63949db6e,A Graded Offline Evaluation Framework for Intelligent Vehicle’s Cognitive Ability,"Faculty of the Institute of Artificial Intelligence, Robotics, Xi’an Jiaotong University, Xi’an, China" e4253d4f6e5bbcfac7176f39eacaecf63949db6e,A Graded Offline Evaluation Framework for Intelligent Vehicle’s Cognitive Ability,"HERE Technologies, Chicago, Illinois, 60606, USA" e4511fd8a4cafcb270df76e594017dd70806f29d,3D head pose estimation with convolutional neural network trained on synthetic images,"School of Computer Science, Beijing Institute of Technology, Beijing 100081, P.R. China" e4e601f854e6989eb915e44dbad04ada47110458,Design and performance analysis of an IEEE 802.15.4 V2P pedestrian protection system,"Communication Networks Institute (CNI) Dortmund University of Technology, Germany" -e4aaaf7034201fa94a9b9dc9bc8915cbe01c2c84,Multi-stage face recognition for biometric access,"Indian Institute of Information Technology Chittoor, Sri City, A.P., India" e4a5babdcb76a7f6c8de336ca352b74ed167ab73,"DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right","Institute for Infocomm Research, Singapore, Singapore" e4a5babdcb76a7f6c8de336ca352b74ed167ab73,"DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right","Université Pierre et Marie Curie, Paris, France" e4a5babdcb76a7f6c8de336ca352b74ed167ab73,"DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right","Institute for Infocomm Research & Nanyang Technological University, Singapore, Singapore" e447ef5eaec9869570951065d1635e7717598ea0,Large-scale high-dimensional indexing by sparse hashing with l 0 approximation,"NOVA LINCS, Department of Computer Science, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisboa, Portugal" e4b5eef259a4315889997be830197e269c4ed67a,Recent Trends in Computer Applications,"Electronic and Computer Engineering, Brunel University London, Uxbridge, UK" e429c9e38b98a1f0cc99eb890d6789ec311fa42d,Mapping Forests: A Comprehensive Approach for Nonlinear Mapping Problems,"Information and Communication Technology Research Institute, Tehran, Iran" -e486b9142b64bd18220b9b730a4eb6fae1e5e669,Face classification via sparse approximations,"Bilgisayar Bilimleri Bölümü, Bilgi Üniversitesi, İstanbul, Turkey" e486b9142b64bd18220b9b730a4eb6fae1e5e669,Face classification via sparse approximations,"Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Turkey" e486b9142b64bd18220b9b730a4eb6fae1e5e669,Face classification via sparse approximations,"Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Turkey" -e4b1048e37c7f862392864dc980cdd35202f197f,Supervised local sparsity preserving projection for face feature extraction,"College of Automation, Nanjing University of Posts and Telecommunications, 210046, China" e4d97b80f6293ef8565deb87b1006c5ed0439cb9,Pedestrian recognition through different cross-modality deep learning methods,"RITS Team, INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France" e4d97b80f6293ef8565deb87b1006c5ed0439cb9,Pedestrian recognition through different cross-modality deep learning methods,"Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France" -e4d97b80f6293ef8565deb87b1006c5ed0439cb9,Pedestrian recognition through different cross-modality deep learning methods,"RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France" e4ba6b383cb00b9d5e315ceddc9bce6902b7b35a,An ensemble-based method for linear feature extraction for two-class problems,"School of Informatics, University of Wales, Gwynedd, United Kingdom" e4ad82afc563b783475ed45e9f2cd4c9e2a53e83,New distances combination for facial expression recognition from image sequences,"Laboratory LAROSERI, Department of Computer Science, Faculty of Sciences, University of Chouaib Doukkali, El Jadida - Morocco" e4ad82afc563b783475ed45e9f2cd4c9e2a53e83,New distances combination for facial expression recognition from image sequences,"Laboratory LIM, Department of Computer Science, Faculty of Sciences and Technologies, University Hassan II, Casablanca-Morocco" -e4834d942338d7a0b9a57fe307784caa8ad4c5cf,Text-to-video: a semantic search engine for internet videos,"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China" e42200a4f407f3a58119a2abdb3b9b218ec8ac7d,Street Object Detection Based on Faster R-CNN,"School of Automation, China University of Geosciences, Wuhan, 430074, P. R. China" -e42200a4f407f3a58119a2abdb3b9b218ec8ac7d,Street Object Detection Based on Faster R-CNN,"The Library of Wuhan University of Technology, Wuhan, 430070, P. R. China" e4b825bf9d5df47e01e8d7829371d05208fc272d,Recognition of Facial Attributes Using Multi-Task Learning of Deep Networks,"School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea" -e41876930495ee879b0d1cda9a85f82102884b17,Robotic arm control by fine-tuned convolutional neural network model,"Mekatronik Mühendisliği, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye" -e41876930495ee879b0d1cda9a85f82102884b17,Robotic arm control by fine-tuned convolutional neural network model,"Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye" -e457ecb6ca9960c13e3c2c17fb4d79b20f879f67,A Multitask Cascaded Convolutional Neural Network Based on Full Frame Histogram Equalization for Vehicle Detection,"College of Science Shengyang, Ligong University, Shenyang, 110159, China" -e457ecb6ca9960c13e3c2c17fb4d79b20f879f67,A Multitask Cascaded Convolutional Neural Network Based on Full Frame Histogram Equalization for Vehicle Detection,"Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjing, 300308, China" -e41288da544ceaf97e0221ff6c25d389b8ed4dcd,Using random subspace to combine multiple features for face recognition,"Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China" -c2c3dd9683f522240c0cec76f924c824a751f4d3,Face recognition using Zernike and complex Zernike moment features,"Department of Computer Science, Punjabi University, Patiala, India" -c2c3dd9683f522240c0cec76f924c824a751f4d3,Face recognition using Zernike and complex Zernike moment features,"Department of CSE&IT, Rayat & Bahra College of Engg. & Bio-Tech, Kharar, India" -c2c3dd9683f522240c0cec76f924c824a751f4d3,Face recognition using Zernike and complex Zernike moment features,"Department of IT, MM University, Mullana, India" c29f21f0b098123e523df17b23fdc4a82940cabe,First-person action recognition through Visual Rhythm texture description,"Institute of Computing - University of Campinas, SP, Brazil, 13083-852" c29f21f0b098123e523df17b23fdc4a82940cabe,First-person action recognition through Visual Rhythm texture description,"Department of Informatics - Federal University of Paraná, Curitiba, Brazil, 81531-990" c289e73276f18314dd392f88f0206214e8fd134e,Real-time multi-scale pedestrian detection for driver assistance systems,"Dept. of Electrical & Computer Engineering, University of Auckland, Auckland, New Zealand" c289e73276f18314dd392f88f0206214e8fd134e,Real-time multi-scale pedestrian detection for driver assistance systems,"LAMIH/CNRS University of Valenciennes and Hainaut-Cambresis, Valenciennes, France" -c259602c6c5ef3e3ee7397849a1a20c8561ba432,"Survey of the facial information cognition: Identity, affective and cross-culture analysis","School of Information and Engineering, Minzu University of China, Beijing 100081, China" c24d1b707d2a8bf019e11dbf35c457384e044548,Stereo Pictorial Structure for 2D articulated human pose estimation,"Department of Computing and Numerical Analysis, Maimonides Institute for Biomedical Research (IMIBIC), University of Córdoba, Córdoba, Spain" c200e8f4b171777673cd543f017368629e4ff69c,RGB-D datasets using microsoft kinect or similar sensors: a survey,"Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK" -c2b89235176e4bb2573421f02e72eddcbb2fd630,Comparative study of the descriptive features on the performance of re-identification,"LRIT, Unité Associée au CNRST (URAC 29), Faculty of Sciences, Mohamed V-Agdal University, Rabat, Morocco" -c2b89235176e4bb2573421f02e72eddcbb2fd630,Comparative study of the descriptive features on the performance of re-identification,"Institute of Information Technology and Communications, Otto-von-Guericke University, Magdeburg, Germany" -c253e241ae1a7a3fde79bdd62ce5095a0d18ed71,Real time smart car lock security system using face detection and recognition,"Dept., of ECE, Government College of Technology, Coimbatore, Tamil Nadu, India" c25a71d01255b96c08dc36e79dc7200347574a04,Multi-shot person re-identification using a novel video covariance approach,"Sfax University, Tunisia" -c2145bd76d944b7f2d7097c6370f1d7fd9d79ac9,Sparse cost-sensitive classifier with application to face recognition,"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210046, China" c2c7066b485c2cea70320af5a9fcee975e52d872,A Two-Stage Feature Selection Algorithm Based on Redundancy and Relevance,"De La Salle University, Manila, Philippines" c23bd1917badd27093c8284bd324332b8c45bfcf,Personalized facial expression recognition in indoor environments,"Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Taiwan 640, R.O.C." c2b135f8cef0fa5d95ffb8e9404ae1f467a39c42,Graph-Based Early-Fusion for Flood Detection,"RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil" -c2b135f8cef0fa5d95ffb8e9404ae1f467a39c42,Graph-Based Early-Fusion for Flood Detection,"Université de Lorraine-LORIA UMR 7503, Vandoeuvre-lès-Nancy, France" c250c1b8f160e953c2ac0253860abd6a27b8f7f7,Video scene analysis: an overview and challenges on deep learning algorithms,"Department of Computer Science, Al Imam Muhamad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia" -c2fe8856caa3dfa282b2c4c11c5c5dcb3b57e14e,FACSHuman a Software to Create Experimental Material by Modeling 3D Facial Expression,"University of Paris 8 - Vincennes, Saint-Denis" -c2474202d56bb80663e7bece5924245978425fc1,Localize heavily occluded human faces via deep segmentation,"Statistical Machine Intelligence & LEarning, School of Computer Science & Engineering University of Electronic Science and Technology of China, 611731, China" c27ef63f9611c5ccde35d25344b25205973a9c6e,RAM: Role Representation and Identification from combined Appearance and Activity Maps,Santa Barbara Cottage Hospital -c2776c5ae1aa8d640ad96f06a2c82707fe70a850,DeNet: An explicit distance ensemble model for person re-identification,"Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Automation Huazhong University of Science and Technology, Wuhan, 430074, China" -c28e9523565104d233351665f69c63e6cf0d1424,Non-local similarity dictionary learning based face Super-Resolution,"School of Computer Science and Technology, HuBei University of Science and Technology, Xianning, 437100, China" -c28e9523565104d233351665f69c63e6cf0d1424,Non-local similarity dictionary learning based face Super-Resolution,"Chang Jiang Institute of Survey, Planning, Design and Research, China" -c27b1b92aa616d09befdb525e13e10bb959267bd,A manifold ranking based method using hybrid features for crime scene shoeprint retrieval,"Dalian Maritime University, Dalian, People’s Republic of China" -c259db2675f3bfb157f37e6c93b03d1d14dab4c7,Operating an alert system using facial expression,"SCOPE Vellore Institute of Technology, Vellore, India" c2a2093b4163616b83398e503ae9ed948f4f6a2b,A Dual-CNN Model for Multi-label Classification by Leveraging Co-occurrence Dependencies Between Labels,"Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia" -c2b03ad0572786fd37c4a4a908356cbf85d79f75,Comparative Analysis of Decision-level Fusion Algorithms for 3D Face Recognition,"Bocgazici University, Turkey" c2251f1427a7e0c8e94a70950d8f08c205aa3e66,Occlusion detection and restoration techniques for 3D face recognition: a literature review,"Department of Management and Production Engineering, Politecnico di Torino, Turin, Italy" c2672bba03b6a745ddaf5bf28536f7359d8fe2f0,Foreground soft segmentation for search space reduction,"Department of Computer Science and Engineering, POSTECH, Pohang, 790-784, Korea" c2672bba03b6a745ddaf5bf28536f7359d8fe2f0,Foreground soft segmentation for search space reduction,"Department of Computer Science and Engineerineg POSTECH Pohang, 790-784, Korea" -c2295cbb15d913fdcf6fb43f686296835fdd3333,Block based curvelet feature extraction for face recognition,"GSCM-LRIT, Faculty of Sciences, Mohammed V University, PO.Box 1014, Rabat, Morocco" c2484fd7e368a17d25bb76a0644c6978d18d16fc,Multi-object tracking using sparse representation,"Université Européenne de Bretagne, France, INSA de Rennes, IETR, UMR 6164, F-35708" -c2f8eb9b3414c1777440a0adfcc8c0a3c3b646e4,Embedded face detection implementation,"Instituto de Microelectronica de Sevilla IMSE-CNM-CSIC C/ Américo Vespucio, s/n (esquina Leonardo da Vinci) Sevilla, Spain" c26f8f2ca512733b14ae2dc98e21c446466ddd6a,Fusion of Compound Queries with Multiple Modalities for Known Item Video Search,"Information Technologies Institute - Centre for Research & Technology Hellas, Thessaloniki, Greece" c23734cf46af7c299b72089e5cbc0e50b833e434,Edge color transform: a new operator for natural scene text localization,"School of Computer and Information Technology Engineering, Shahrood University of Technology, Shahrood, Iran" c23734cf46af7c299b72089e5cbc0e50b833e434,Edge color transform: a new operator for natural scene text localization,"School of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran" -c25a8347a108678cabfd80575c74defd838edd9d,Feature context for image classification and object detection,"Dept. of Electronics and Information Engineering, Huazhong Univ. of Science and Technology, China" c25a8347a108678cabfd80575c74defd838edd9d,Feature context for image classification and object detection,"Dept. of Computer and Information Sciences, Temple Univ., Philadelphia" -c29fe5ed41d2240352fcb8d8196eb2f31d009522,Age estimation with dynamic age range,"College of Computer Science and Technology of Huaqiao University Xiamen, Xiamen, China" c2fffbc7c82ebfde82e6dcb36231a3969e91ee1b,Supervised hierarchical neighborhood graph construction for manifold learning,"Data Scientist Advanced Analytics Department, General Motors, Warren, USA" -c1c253a822f984de73f02d6a29c8c7cadc8f090c,Facial expression recognition using shape signature feature,"Dept. of Computer Science & Engineering and Information Technology, Siliguri Institute of Technology, Siliguri, India" -c1c253a822f984de73f02d6a29c8c7cadc8f090c,Facial expression recognition using shape signature feature,"Dept. of Computer & System Sciences, Visva-Bharati University, Santiniketan, India" -c14c86ef7e6d213b0f139b7ec66452ef01d52aca,XDvision: Dense outdoor perception for autonomous vehicles,"Universidad Autonoma de Occidente, Cali, Colombia" c14c86ef7e6d213b0f139b7ec66452ef01d52aca,XDvision: Dense outdoor perception for autonomous vehicles,"Toyota Motor Europe (TME), Brussels 1140, Belgium" c14c86ef7e6d213b0f139b7ec66452ef01d52aca,XDvision: Dense outdoor perception for autonomous vehicles,"INRIA Rhone Alpes, Grenoble 38334, France" -c1ee18611086ae698bbc48d7166c986512e176bf,Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning,"School of Computer Science, China University of Geosciences, Wuhan 430074, China" c1ee18611086ae698bbc48d7166c986512e176bf,Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning,"Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo 101-8430, Japan" -c11de1b8b46729f0c055d957b55f6801dbf03048,Image-based face verification and experiments,"Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China" -c11de1b8b46729f0c055d957b55f6801dbf03048,Image-based face verification and experiments,"School of Information Engineering, Nanchang Hangkong University, Nanchang, China" -c14b4f44051c7ad34536f5dc87f1a1a7c656e9a6,Face recognition against variation in pose and background,"D.S.M. College, Parbhani, India" c11f05de35310725d83a4ac9a393f06168acc967,Selective Sampling Importance Resampling Particle Filter Tracking With Multibag Subspace Restoration,"School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, U.K." -c1e02305a0fc236fb737afb02d81ff7d59f14787,Cognitive gravitation model-based relative transformation for classification,"Jiaxing University, Jiaxing, China" -c1091cc8049d18d8fb012309eb87b9531be469b6,Biometric Recognition,"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing, P.R. China" -c1764ccb75d19bb2fc5682dcba4d632b2cbf4bae,"From simulated speech to natural speech, what are the robust features for emotion recognition?","National Laboratory of Pattern Recognition, (NLPR), Institute of Automation, CAS, Beijing, China" -c1764ccb75d19bb2fc5682dcba4d632b2cbf4bae,"From simulated speech to natural speech, what are the robust features for emotion recognition?","Institute of Linguistic Sciences, Jiangsu Normal University, Xuzhou, China" c1528d8813c34929e1263c63960d6c633c1548ec,Face Recognition using Self-Organizing Map and Principal Component Analysis,"Department of Computer Science & Engineering, Guru Jambheshwar University, Hisar, Haryana, INDIA-125001. E-mail: dinesh_chutani@yahoo.com" -c1655b32a30165f7863ece52c54270662a28be0e,Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering,"Department of Computer Science and Technology, Tsinghua Lab of Brain and Intelligence Beijing National Research Center for Information Science and Technology, BNRist Lab Tsinghua University, 100084, China" -c140eb6fddbfa4eaf8fcabfaa4c205215bca6be2,HOG algorithm simplification and its impact on FPGA implementation: With applications in car detection,"Dept. of Electronics, Telecommunications and IT University “Politehnica” of Bucharest, Romania" -c1660197f94786364e624efed4ba03c0d8ab6161,Robust dictionary learning with graph regularization for unsupervised person re-identification,"SPKLSTN Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China" -c12ee7293bbfa51def56456928eb82a73a1da1d1,Efficient location selection for computations of expensive Log-Gabor features using directional enhancement: For robust localization of lane markings in cluttered scenes,"Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Surathkal, India" -c12b241a8b6fcd28c6af8ed11c3746fd2a6fca0e,Hybrid LASSO and Neural Network estimator for gaze estimation,"Department of Electronic and Communication Engineering, MSRUAS, Bengaluru, Karnataka 560058, India" -c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa,Multiple human tracking using 3D ellipsoidal model and SIR-Particle Filter technique,"Department of ECE, KLNCIT, Sivagangai, Tamilnadu, India" -c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa,Multiple human tracking using 3D ellipsoidal model and SIR-Particle Filter technique,"Department of IT, KLNCIT, Sivagangai, Tamilnadu, India" c188bcd2e90273fe8078cb28dd7d4b131a2a46c9,Revisiting symbiotic job scheduling,"Ghent University, Belgium" c188bcd2e90273fe8078cb28dd7d4b131a2a46c9,Revisiting symbiotic job scheduling,"INRIA Rennes, France" -c1d11b94c8fecaed79f97966d4bfa8381d32ad16,Deep Domain Adaptation for Face Recognition using images captured from surveillance cameras,"Department of CS&E, Visualization and Perception Lab, Chennai, India" -c1d11b94c8fecaed79f97966d4bfa8381d32ad16,Deep Domain Adaptation for Face Recognition using images captured from surveillance cameras,"Department of CS&E, Professor, Visualization and Perception Lab, Chennai, India" -c1d70ce31ad6a8df5e55f256f545fafe0e08b644,Attributes co-occurrence pattern mining for video-based person re-identification,"Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA" c112f761bf0f7135f82331b22c330130a7f71cfc,4-D Facial Expression Recognition by Learning Geometric Deformations,"Institut Mines-Télécom/Télécom Lille, Laboratoire d'Informatique Fondamentale de Lille, Lille LIFL UMR, France" c17b85fc95591573bc356650522d303f8d76aeb9,Robust Structural Sparse Tracking,"University of California, Merced, CA, 95344" 88f51f4e7fc2c963a4e0815862258fd7e1e05d58,High-order local normal derivative pattern (LNDP) for 3D face recognition,"University of Windsor Department of Electrical and Computer Engineering Windsor, Canada" -88b02b654a0206e47979618ff95697f4cab7f6a1,Target re-identification based on adaptive incremental KISS measure learning,"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China" 88e6c221273af85e8736b4b865ad90f9a1464480,Robust embedded projective nonnegative matrix factorization for image analysis and feature extraction,"Department of Mathematics, University of Bari Aldo Moro, Bari, Italy" 880e232f260b0f9d649a4e6408b1cf82f270bd6d,A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter,"Orbotech Ltd., Yavne, Israel" 880e232f260b0f9d649a4e6408b1cf82f270bd6d,A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter,"Ben-Gurion University, Beersheba, Israel" 8886b21f97c114a23b24dc7025bbf42885adc3a7,Privacy protection performance of De-identified face images with and without background,"School of Engineering and Technology, University of Hertfordshire, Hatfield, AL10 9AB, UK" 8835e24ff3840f123a8fcc846a507617cacf7c01,AggNet: Simple Aggregated Network for Real-Time Multiple Object Detection in Road Driving Scene,"Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, korea" 88edb5a15fdb10fca4e8275016726210f1953421,Parking lot occupancy determination from lamp-post camera images,"Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA" -88edb5a15fdb10fca4e8275016726210f1953421,Parking lot occupancy determination from lamp-post camera images,"Xerox Research Center in Webster, NY 14580, USA" -88b40b93bc00b91a42ba9392d20a6d01a5ae7592,Counting people in crowded scenes by video analyzing,"College of Automation Science and Engineering, South China University, Guanghzou, 510641, China" -88b40b93bc00b91a42ba9392d20a6d01a5ae7592,Counting people in crowded scenes by video analyzing,"Beijing Transportation Information Center, China" -88b40b93bc00b91a42ba9392d20a6d01a5ae7592,Counting people in crowded scenes by video analyzing,"Beijing Transportation Operation Coordination Center, China" 88b57bdbab36d4912212a9b93299427defda8400,Optimal feature points for tracking multiple moving objects in active camera model,"Department of IT and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran" 88726ee727d38c7a101f79412ff1cfc9b0e35f04,Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis,"Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan" -880be65e233d4302744e2154b2ef172291ee9779,Human identity recognition based on facial images: Via supervised autoencoder features representation,"College of Computer Science and Information Tech., Sudan University of Science and Technology, Sudan" -888e48a726840bc598399ee47033383c43faf68c,Face Verification with Gabor Representation and Support Vector Machines,Universiti Teknologi Malaysia -882190b77ac33c5c988b1b818afcf83e5ccf9c4f,Towards large-scale multimedia retrieval enriched by knowledge about human interpretation,"Pattern Recognition Group, University of Siegen, Siegen, Germany" 88c564ea1148cecf903282eb0976187075fe2144,Seamless Nudity Censorship: an Image-to-Image Translation Approach based on Adversarial Training,"Machine Intelligence and Robotics Research Group, School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, 6681, Porto Alegre, RS, 90619-900, Brazil" -88e093d90d0734b471ce2c1f58fa0ace6dec1101,Illumination invariant face recognition using convolutional neural networks,"Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Andhra Pradesh, India 502205" 8846a0f238deab5e5a9ff0ad2209899bcb2c1032,Inter-frame contextual modelling for visual speech recognition,"School of Electronics, Electrical Engineering and Computer Science, Queens University Belfast, BT7 1NN, UK" 888581e88c1cbfb8e905c317c6944b6ac2d4557c,Efficient face recognition based on MCT and I(2D)2PCA,"Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea" 888d98dfc312400861a89bd433492094dbe787de,Tree trunk detection using contrast templates,"Department of Computer and Information Sciences University of Delaware, Newark, DE, U.S.A." -88fb26bfcd7a52b3f6a5e9e6cf0ea04628d1049a,Pincode detection using deep CNN for postal automation,"CVPR Unit, Indian Statistical Institute, Kolkata 700108, India" 88b67e35eaa639fe1e21f8a4e0f0614f37317675,Obstacle Detection Using GoogleNet,"Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran" 88d63a0cc0b8a5303bdef286d6df118bb1d44d26,Real-time mimicking of estonian speaker's mouth movements on a 3D avatar using Kinect 2,"Institute of Cybernetics, Tallinn University of Technology" -88682b2258312103ce9f1a440e3a890612547e65,DHeat: A Density Heat-Based Algorithm for Clustering With Effective Radius,"Shanghai Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, China" 8875dcf2836315839741fd6944f249263408c27f,Facial landmark detection via self-adaption model and multi-task feature learning,"School of mechanical and material engineering, North China University of Technology, Beijing, P.R. China" e047bcb9721c36fb61df1f4d6f7de83f290ec1d4,Flower classification: Training augmentation using manifold images,"Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, Korea Rep." e0b71d3c7d551684bd334af5b3671df7053a529d,Local versus global segmentation for facial expression recognition,"Dept. of Comput. Sci., Western Cape Univ., South Africa" -e028bef776114add5e323a6353c57c8c5a8fdfad,Introducing FoxPersonTracks: A benchmark for person re-identification from TV broadcast shows,"CRIStAL (UMR CNRS 9189) - Lille 1 University - Villeneuve d'Ascq, France" e0423788eb91772de9d708a17799179cf3230d63,Age Classification Using an Optimized CNN Architecture,"Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey" e09249f111051df1dabd0fdc90194e9f513a5a7f,Quantity versus quality: the role of layout and interaction complexity in thumbnail-based video retrieval interfaces,"Utrecht University, CC Utrecht, The Netherlands" e0fae57a3f704318221c4d14ee76c8a7cf9704db,Face recognition system using Multilinear Principal Component Analysis and Locality Preserving Projection,"The Department of Computing, Muscat College, University of Stirling, UK" -e0b6defafb69fa3bbaec279b3cba92edf50c760b,R-theta local neighborhood pattern for unconstrained facial image recognition and retrieval,"Indian Institute of Information Technology Lucknow, Lucknow, India" -e0b6defafb69fa3bbaec279b3cba92edf50c760b,R-theta local neighborhood pattern for unconstrained facial image recognition and retrieval,"Indian Institute of Information Technology, Allahabad, India" -e029d87365f706193e02c2fbdbe6dee97eb796a9,A convergent solution to two dimensional linear discriminant analysis,"National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China, 100190" e0d04853f1d1323130d165a69f7cc939986598d2,Common and specific brain responses to scenic emotional stimuli,"FIDMAG Research Unit, Benito Menni CASM, Barcelona, Spain" e0d04853f1d1323130d165a69f7cc939986598d2,Common and specific brain responses to scenic emotional stimuli,"Institute of Psychiatry, King’s College London, London, UK" -e0d04853f1d1323130d165a69f7cc939986598d2,Common and specific brain responses to scenic emotional stimuli,"Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain" e0d04853f1d1323130d165a69f7cc939986598d2,Common and specific brain responses to scenic emotional stimuli,"Benito Menni Complex Assistencial en Salut Mental, Barcelona, Spain" e0d04853f1d1323130d165a69f7cc939986598d2,Common and specific brain responses to scenic emotional stimuli,"Hospital Clinic Universitat de Barcelona, Barcelona, Spain" -e0a5db6594b592d46dbbbeca28a69248f0bfe421,Early Detection of Sudden Pedestrian Crossing for Safe Driving During Summer Nights,"Computer Vision and Pattern Recognition Laboratory, Keimyung University, Daegu, South Korea" -e0c6748799529ee035b21f040187d1e6df232624,Temporally aligned pooling representation for video-based person re-identification,"National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, 430079, China" e0c6748799529ee035b21f040187d1e6df232624,Temporally aligned pooling representation for video-based person re-identification,"Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln 68503, NE, United States" -e010304979c869d6084fb3ae902e48bb44f5fb73,Gender from Body: A Biologically-Inspired Approach with Manifold Learning,"BBN Technologies, Cambridge, USA" e00e8dc033b7009eb70e38891ee7e0eea80402b0,Violent scene detection using mid-level feature,"The Graduate University for Advanced Studies (Sokendai), Tokyo, Japan" -e00beb10ab1bcabc47434d71bda06710ddf71c17,Energy-based blob analysis for improving precision of skin segmentation,"Institute of Informatics, Silesian University of Technology, Gliwice, Poland" 44674b020e9ce46b16ffb72952a7cacb40d01657,Depth-aware neural style transfer,Nankai University -4497c58a1c7dda2027b3de6385ca628c62d965cb,3D facial clone based on depth patches,"CENTRALESUPELEC/IETR UMR6164, Team FAST (Facial Analysis, Synthesis and Tracking) Avenue de la Boulaie, 35576, Cesson-Sévigné, France" 44ea7adc1182c1a95d7a7d91f9845065bd7f99ee,Context Aware Human-Robot and Human-Agent Interaction,"Institute for Media Innovation, Nanyang Technology University, Singapore, Singapore" 44ea7adc1182c1a95d7a7d91f9845065bd7f99ee,Context Aware Human-Robot and Human-Agent Interaction,"Center of HCI for Coexistence, Korea Inst. of Science &Technology, Seoul, Korea, Republic of (South Korea)" 44834929e56f2a8f16844fde519039d647006216,Improving object detection by removing noisy samples from training sets,"National ICT Australia and UNSW, Sydney, Australia" @@ -358,25 +190,18 @@ e00beb10ab1bcabc47434d71bda06710ddf71c17,Energy-based blob analysis for improvin 444d59c7a37db543bc23443acfc33b364d6df144,Region segmentation using LiDAR and camera,"Baskin School of Engineering, University of California Santa Cruz, 1156 High St, Santa Cruz, CA 95064 USA" 444d59c7a37db543bc23443acfc33b364d6df144,Region segmentation using LiDAR and camera,"Electronics Research Laboratory, Volkswagen Group of America, 500 Clipper Dr, Belmont, CA 94002, USA" 447b57ff91e3572da718c18b2bc016839ce418e8,Towards automatic object annotations from global image labels,"Augsburg University, Augbsurg, Germany" -447b57ff91e3572da718c18b2bc016839ce418e8,Towards automatic object annotations from global image labels,"Augsburg University, Augsburg, Germany" 442258632b82baee92a97e8d48581121bd24541c,"Multimedia Communications, Services and Security","Gdańsk University of Technology, Gdansk, Poland" -44347819fd94b20676862181ac4de55a5ca47a0c,A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors,"Department of Computer Science and Engineering, Christ University, Bengaluru, India" -44347819fd94b20676862181ac4de55a5ca47a0c,A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors,"Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India" 4479efe6c81bcdb07b18d1cb66a06c66c6137fed,Large Inpainting of Face Images With Trainlets,"Computer Science Department, Technion Israel Institute of Technology, Haifa, Israel" -4443d51f54a9df679efc5ae65115f60f8e58a1a0,Spott: On-the-Spot e-Commerce for Television Using Deep Learning-Based Video Analysis Techniques,"Ghent University - imec, ELIS - IDLab, Pietersnieuwstraat, Ghent" 4443d51f54a9df679efc5ae65115f60f8e58a1a0,Spott: On-the-Spot e-Commerce for Television Using Deep Learning-Based Video Analysis Techniques,"Ghent University - imec - MICT, Korte Meer, Ghent" -443cd4e2f2f8a52fd090ae056352155d872a5b06,Performance enhancement of local vector pattern with generalized distance local binary pattern for face recognition,"Indian Institute of Information Technology, Allahabad-211012, India" 4492914df003d690e5ff3cb3e0e0509a51f7753e,Cognitive reasoning and inferences through psychologically based personalised modelling of emotions using associative classifiers,De Montfort University 4492914df003d690e5ff3cb3e0e0509a51f7753e,Cognitive reasoning and inferences through psychologically based personalised modelling of emotions using associative classifiers,University of Valencia 44206d5f810385e66aef5f29083a610d91815343,Humans do not perceive conspecifics with a greater exposed sclera as more trustworthy: a preliminary cross-ethnic study of the function of the overexposed human sclera,"Polish Academy of Sciences, Unit of Anthropology, Hirszfeld Institute of Immunology and Experimental Therapy, Wroclaw, Poland" 44206d5f810385e66aef5f29083a610d91815343,Humans do not perceive conspecifics with a greater exposed sclera as more trustworthy: a preliminary cross-ethnic study of the function of the overexposed human sclera,"Department of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland" -44206d5f810385e66aef5f29083a610d91815343,Humans do not perceive conspecifics with a greater exposed sclera as more trustworthy: a preliminary cross-ethnic study of the function of the overexposed human sclera,"Center for Language Evolution Studies, Faculty of Languages, Nicolaus Copernicus University, Torun, Poland" 44206d5f810385e66aef5f29083a610d91815343,Humans do not perceive conspecifics with a greater exposed sclera as more trustworthy: a preliminary cross-ethnic study of the function of the overexposed human sclera,"Department of Human Biology, Faculty of Physiotherapy, University School of Physical Education in Wroclaw, Wroclaw, Poland" 44206d5f810385e66aef5f29083a610d91815343,Humans do not perceive conspecifics with a greater exposed sclera as more trustworthy: a preliminary cross-ethnic study of the function of the overexposed human sclera,"Interacting Minds Centre, Aarhus University, Aarhus C, Denmark" 4468afcc523b54d909b2b7e6e747c5c0f3f61c89,On the role of shape prototypes in hierarchical models of vision,Los Alamos National Laboratory 441d532b4207ca57b37eb210a79373c556d90846,Deep Multi-task Learning with Label Correlation Constraint for Video Concept Detection,"CERTH & Queen Mary University of London, Thessaloniki, Greece" 441d532b4207ca57b37eb210a79373c556d90846,Deep Multi-task Learning with Label Correlation Constraint for Video Concept Detection,"CERTH, Thessaloniki, Greece" -442ee5a3f51ca93a642c20fa69326f3b17367565,Detection of rail surface defects based on CNN image recognition and classification,"School of Computer Science & Engineering Northeastern University(NEU), Shenyang, China" 44855e53801d09763c1fb5f90ab73e5c3758a728,Sentence Directed Video Object Codiscovery,"Baidu Research - Institute of Deep Learning, Sunnyvale, USA" 448aac9a3b9c490949602b091391bea16f013818,A hybrid approach to pedestrian clothing color attribute extraction,"OMRON Social Solutions Co. Ltd., Japan" 44d2ab6b7166274cc13b52d8f73a36839ca0d4a8,An unsupervised technique for automatic face detection and extraction,"Ubiquitous Computing, Lab, Kyung Hee, University, Korea" @@ -385,212 +210,119 @@ e00beb10ab1bcabc47434d71bda06710ddf71c17,Energy-based blob analysis for improvin 444c99362e81925c1e710eb901e8f3b4659e6a42,Automated Non-Invasive Measurement of Sperm Motility and Morphology Parameters,"Mount Sinai Hospital, Toronto, Canada" 44b517a544dafbf753f1b16feec26ec2c0c2a8f2,"Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability","Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York" 44b517a544dafbf753f1b16feec26ec2c0c2a8f2,"Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability","Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany" -d58e9c94206b72de545f7720c38f87f1c8b81839,OUHANDS database for hand detection and pose recognition,"Center for Machine Vision and Signal Analysis (CMVS), Oulu, Finland" d5b37090422967018477439c25f672eed2f5110a,Human Ear recognition based on Multi-scale Local Binary Pattern descriptor and KL divergence,"PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Algeria" d5b37090422967018477439c25f672eed2f5110a,Human Ear recognition based on Multi-scale Local Binary Pattern descriptor and KL divergence,"LIASD research Lab., University of Paris 8, 2 rue de la Liberté, 93526 Saint-Denis cedex, France" -d56a262763c84d2bb21e9ea40f2517610f61d05f,Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval,"Zhejiang University & Alibaba Group, Hangzhou, China" d5194642b3c68920e9fbf9839f5704db5a39ae9e,Real-time gender recognition with unaligned face images,"Department of Computer Vision and Image Understanding, Institute for Infocomm Research, 1 Fusionpolis Way, #21-01 Connexis, Singapore 138632" -d5bb641338e23d2d5921ddcc5d975248fb4074b6,Accurate extraction of human faces and their components from color digital images based on a hierarchical model,"Dept. of Digital Media, College of Information Sciences, Beijing Language and Culture University, 100083, China" -d5f289142cb4c8aa3dafa6da9f3d0212881af491,Performance comparison of some face recognition algorithms on multi-covariate facial databases,"Dept. of Computer Science and Engg., IIT Roorkee, Roorkee, India" -d5f289142cb4c8aa3dafa6da9f3d0212881af491,Performance comparison of some face recognition algorithms on multi-covariate facial databases,"Dept. of Computer Science and Engg., IIT(BHU), Varanasi, India" d5c86768c067df0732187040c21f23fe2183e597,Appearance-based person re-identification by intra-camera discriminative models and rank aggregation,"Department of Computer Science, Universidade Federal de Minas Gerais, Brazil" -d5d5cc27ca519d1300e77e3c1a535a089f52f646,Stratified pooling based deep convolutional neural networks for human action recognition,"School of Information, Hunan University of Humanities, Science and Technology, Loudi, China" -d5d5cc27ca519d1300e77e3c1a535a089f52f646,Stratified pooling based deep convolutional neural networks for human action recognition,"Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen, China" -d5d5cc27ca519d1300e77e3c1a535a089f52f646,Stratified pooling based deep convolutional neural networks for human action recognition,"Computer Engineering College, Jimei University, Xiamen, China" -d54b1bdf0c42ea3d906cb93bf276307b77c1502f,Fingerprint liveness detection based on histograms of invariant gradients,"Institute for Mathematical Stochastics, University of Göttingen, Germany" d54b1bdf0c42ea3d906cb93bf276307b77c1502f,Fingerprint liveness detection based on histograms of invariant gradients,"EECS Department, UC Berkeley, USA" -d5b335d78e16993fa018bc5261e1fe9bc3692ea2,Properties of information sets and information processing with an application to face recognition,"EC Department, ACE College of Engineering, Trivandrum, India" -d5b335d78e16993fa018bc5261e1fe9bc3692ea2,Properties of information sets and information processing with an application to face recognition,"EE Department, I.I.T. Delhi, Hauz Khas, New Delhi, India" d5f1e21f71874874fd4122899a83aeae58367c5e,Robots delivering services to moving people: Individual vs. group patrolling strategies,"CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France" d5f1e21f71874874fd4122899a83aeae58367c5e,Robots delivering services to moving people: Individual vs. group patrolling strategies,"INSA de Lyon - Université de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France" -d50abaf36212d31c758643c70f487ee272c0b627,Ensemble Face Recognition System Using Dense Local Graph Structure,"Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India" d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b,"Gender recognition: Methods, datasets and results","Centro Studi S.r.l., Buccino, Italy" d57dca4413ad4f33c97ae06a5a7fc86dc5a75f8b,"Gender recognition: Methods, datasets and results","Department of Mathematics and Computer Science, University of Catania, Italy" d57279d90f7f5278ac56974485810865cdb1446d,Cox Processes for Counting by Detection,"Johns Hopkins University, Baltimore, USA" d57c8d46a869c63fb20e33bc21bc2a3c4628f5b4,A novel spontaneous facial expression recognition using dynamically weighted majority voting based ensemble classifier,"School of Information and Mechatronics, Gwangju Institute of Science and Technology, Gwangju, Korea" d57c8d46a869c63fb20e33bc21bc2a3c4628f5b4,A novel spontaneous facial expression recognition using dynamically weighted majority voting based ensemble classifier,"Al Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia" d5aa657e0e34dac4fcff484496b0e17d5ae0f52e,Globality–Locality-Based Consistent Discriminant Feature Ensemble for Multicamera Tracking,"INRIA Sophia Antipolis Méditerranée, Sophia Antipolis, France" -d5484f516e5e1253a90529a2018a75d697fa9e05,Efficient hierarchical clustering of large high dimensional datasets,"University of California, Davis, Davis, CA, USA" d5484f516e5e1253a90529a2018a75d697fa9e05,Efficient hierarchical clustering of large high dimensional datasets,"IBM, Yorktown Heights, NY, USA" d591b8a7acf83fab5f7a949d89f347ed061313d9,OR-PCA with dynamic feature selection for robust background subtraction,"Kyungpook National University, Buk-go, Daegu, Republic of Korea" d591b8a7acf83fab5f7a949d89f347ed061313d9,OR-PCA with dynamic feature selection for robust background subtraction,"Université de La Rochelle, France" d5c14e768f91e97c16d6aeac8b108458d3eb8004,Hyper-parameter optimization tools comparison for multiple object tracking applications,"LAAS-CNRS, Toulouse, France" d5ddbb8cbd770f154af33d38f757ce5197757c34,A comparison of genetic feature selection and weighting techniques for multi-biometric recognition,"North Carolina Agricultural and Technical State University, Greensboro, NC" -d52fa3620648792337809cb664efefec9dc0628f,Single online visual object tracking with enhanced tracking and detection learning,"School of Information Science, Xinhua College of Sun Yat-sen University, Guangzhou, China" -d52fa3620648792337809cb664efefec9dc0628f,Single online visual object tracking with enhanced tracking and detection learning,"Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, China" -d57c25c50e5e25fb07fc80b3c3d77b45e16e98cf,Eye state detection for driver inattention based on Lucas Kanade optical flow algorithm,"Electrical, Electronics & Automation Section, Universiti Kuala Lumpur, 09000 Kulim Hi-Tech Park, Malaysia" d57c25c50e5e25fb07fc80b3c3d77b45e16e98cf,Eye state detection for driver inattention based on Lucas Kanade optical flow algorithm,"Intelligent Biometric Group, School of Electrical and Electronics Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Malaysia" -d567f2bbc6ce6d6acf0114e6514f31eff4da68f6,Study on determining the Big-Five personality traits of an individual based on facial expressions,"Department of Telecommunications, University ""Politehnica"" Bucharest Bucharest, Romania" d537da9292589a64ef62f0ce32b28613d1fb3e51,Emotional video scene retrieval system for lifelog videos based on facial expression intensity,"Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan" -d537da9292589a64ef62f0ce32b28613d1fb3e51,Emotional video scene retrieval system for lifelog videos based on facial expression intensity,"Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan" d5a6a31fcebf5971f20bd25ed7faaa59c6c98772,Off-vehicle evaluation of camera-based pedestrian detection,"RoadMetric LTD, Giveat Yearim 90970, Israel" d5a6a31fcebf5971f20bd25ed7faaa59c6c98772,Off-vehicle evaluation of camera-based pedestrian detection,"GM Advanced Technical Center Israel, Hamada 7, Herliya, Isarel" -d5d6878f8c82727c3e145ed596a29023f7f14eeb,Accurate pedestrian detection using RGB-D camera,"Beijing Innovisgroup Tec Co. LTD, Beijing, China" -d5909f8d82bff4b86cc36ecd000f251c1a76293b,High-fidelity facial reflectance and geometry inference from an unconstrained image,Waseda University and USC Institute for Creative Technologies d5909f8d82bff4b86cc36ecd000f251c1a76293b,High-fidelity facial reflectance and geometry inference from an unconstrained image,USC Institute for Creative Technologies -359742c64ed3700f021cc72685aca41c7ec166e4,Joint Estimation of Human Pose and Conversational Groups from Social Scenes,"Advanced Digital Sciences Center, Singapore, Singapore" 359742c64ed3700f021cc72685aca41c7ec166e4,Joint Estimation of Human Pose and Conversational Groups from Social Scenes,"Mapillary Research, Graz, Austria" 359742c64ed3700f021cc72685aca41c7ec166e4,Joint Estimation of Human Pose and Conversational Groups from Social Scenes,"Fondazione Bruno Kessler, Trento, Italy" -35535b2b03a9fcbcd8c09f753e1a69c977add020,Estimation of intersection traffic density on decentralized architectures with deep networks,"Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India" 359b4a4c6cb58c8ab5e8eaaed0e8562c8c43a0f9,A modified kernel clustering method with multiple factors,"Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China" 352c53e56c52a49d33dcdbec5690c2ba604b07d0,Exploiting Object Hierarchy: Combining Models from Different Category Levels,"School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. zweiga@cs.huji.ac.il" 352c53e56c52a49d33dcdbec5690c2ba604b07d0,Exploiting Object Hierarchy: Combining Models from Different Category Levels,"School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. daphna@cs.huji.ac.il" -35683a325c4fa02e9335dccbca9b67e2b55b87ec,3D-Difference Theoretic Texture Features for dynamic face recognition,"Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India" 35a39c7da14b1d288c0f9201374b307f667d63a3,A Data-Driven Approach for Facial Expression Retargeting in Video,Micrososft Research Asia 35a39c7da14b1d288c0f9201374b307f667d63a3,A Data-Driven Approach for Facial Expression Retargeting in Video,Adobe System Incorporated -3528125426646dfb7b9ec2bfb937e1e70028bcbd,"An Improved Kernel Minimum Square Error Classification Algorithm Based on $L_{2,1}$ -Norm Regularization","Information Engineering College, Henan University of Science and Technology, Luoyang, China" -3528125426646dfb7b9ec2bfb937e1e70028bcbd,"An Improved Kernel Minimum Square Error Classification Algorithm Based on $L_{2,1}$ -Norm Regularization","School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China" 35071331c379a9c830c96117c4f69e4bc0dc0bd4,Decomposing fit semantics for product size recommendation in metric spaces,UC San Diego 3527651a701bb7b16577e40d928825b3e3823f8c,Pose-oriented face images acquisition platform,"Department of Microelectornics and Computer Science, Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland" -35ccc836df60cd99c731412fe44156c7fd057b99,A cascade framework for masked face detection,"School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China" 35bddbae441ae8d5f381b3aa343d12eae3196efa,Person re-identification by discriminant analytical least squares metric learning,"School of Big Data and Intelligence Engineering, Southwest Forestry University, Kunming, People’s Republic of China" -35bddbae441ae8d5f381b3aa343d12eae3196efa,Person re-identification by discriminant analytical least squares metric learning,"UBTECH Robotics, Shenzhen, People’s Republic of China" 35bddbae441ae8d5f381b3aa343d12eae3196efa,Person re-identification by discriminant analytical least squares metric learning,"School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, People’s Republic of China" 355cea44e2d40409a7a5be72b12511e43d259cb9,Human Action Recognition Using Fusion of Modern Deep Convolutional and Recurrent Neural Networks,"National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Institute for Applied System Analysis, Kyiv, Ukraine" -359c2483195a3217095dcf8738abe47181a0fc94,Person Reidentification via Discrepancy Matrix and Matrix Metric,"School of Computer Science, China University of Geosciences, Wuhan, China" -35a19bed4f5c0499f5c03c14fc5765ccc2904a58,L1-L1 norms for face super-resolution with mixed Gaussian-impulse noise,"Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, 430073, China" 359edbaa9cf56857dd5c7c94aaef77003ba8b860,Human Behavior Understanding,"Department of Computer Engineering, Bogaziçi University, Bebek, Turkey" -353a058f49a8c60b41e9cd28962f6060cf4f6646,The research of multimedia cloud computing platform data dynamic task scheduling optimization method in multi core environment,"College of Humanities & Information of Changchun University of Technology, Changchun, China" 354dd9f05094d4f45a330e81d79c57941e968936,Probabilistic Change Detector with Human Verifier for Intelligent Sterile Zone Monitoring,"University of Ulsan, Graduate School of Electrical Engineering, Ulsan, 44610, Korea" 357e97b04375f09e9f4cfd45c69ecd9d7f0a15e1,ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars,University of Utah -357e97b04375f09e9f4cfd45c69ecd9d7f0a15e1,ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars,Hewlett Packard Labs 35ba70db2816b0313257eedc0d9a117057d4a443,Comparative study of subspace-based techniques in the task of partially occluded reconstruction of faces,"Universidade de São Paulo, São Paulo, São Paulo" 35ba4ebfd017a56b51e967105af9ae273c9b0178,The Role of Machine Vision for Intelligent Vehicles,"FZI Research Center for Information Technology, Karlsruhe, Germany" -354650dd4057808bb8e6f080186ab9b85702b263,Bin-based weak classifier fusion of iris and face biometrics,"Department of Automation, USTC, China" -354650dd4057808bb8e6f080186ab9b85702b263,Bin-based weak classifier fusion of iris and face biometrics,"Center for Reasearch on Intelligent Perception and Computing, CASIA, China" 354388347ef59192c04bc36a3693748d7377a334,Fusion strategies in multimodal biometric verification,"Biometrics Res. Lab., Univ. Politecnica de Madrid, Spain" -35251b35fa2ecf72c332e6492d1c587669fcfe94,Intelligent Computing Methodologies,"Indian Institute of Technology Madras, Chennai, India" -35251b35fa2ecf72c332e6492d1c587669fcfe94,Intelligent Computing Methodologies,"Inha University, Incheon, Korea (Republic of)" -355746e6e1770cfcc2e91479f8134c854a77ff96,Human mental states recognition under face occlusion,"Department of Computer Engineering, Uka Tarsadia University, Bardoii, India" -3519241c9ac13ca43e533844e2d3644d162dde22,Flower image retrieval with category attributes,"Shenzhen Key Lab of Comp. Vision and Patt. Recog., Shenzhen Institute of Advanced Technology, CAS, P.R. China" 7f6ae7cb74d9cab9d7add9bdb9ecad9df6c7d007,Multi-sensorial and explorative recognition of garments and their material properties in unconstrained environment,"Centre for Research & Technology-Hellas, Thessaloniki, Greece" 7f01e80129c78f92c4c4c2dc270c5ad9ccde6c1b,A stochastic framework for K-SVD with applications on face recognition,"Department of Computer Science, Federal University of Ceará, Fortaleza, Brazil" 7f8fe6b9e3f1fc4cc6232eedc0f5e328469a30c3,A Riemannian analysis of 3D nose shapes for partial human biometrics,"LIFL (UMR USTL/CNRS 8022), Université de Lille 1, France" 7f8fe6b9e3f1fc4cc6232eedc0f5e328469a30c3,A Riemannian analysis of 3D nose shapes for partial human biometrics,"Institut TELECOM; TELECOM Lille 1, France" -7f8fe6b9e3f1fc4cc6232eedc0f5e328469a30c3,A Riemannian analysis of 3D nose shapes for partial human biometrics,"Departement of Statistics, FSU, Tallahassee, FL 32306, USA" -7f4292745f5169655f831ffa017aab9acd7a994c,Visual tracking based on stacked Denoising Autoencoder network with genetic algorithm optimization,"Company of Shaanxi, China Mobile Limited, Xi’an, China" 7fe4ff1e2861830c16a44526cceba39e3677b22e,Spontaneous but not explicit processing of positive sentences impaired in Asperger's syndrome: Pupillometric evidence,c 7fe4ff1e2861830c16a44526cceba39e3677b22e,Spontaneous but not explicit processing of positive sentences impaired in Asperger's syndrome: Pupillometric evidence,d 7fe4ff1e2861830c16a44526cceba39e3677b22e,Spontaneous but not explicit processing of positive sentences impaired in Asperger's syndrome: Pupillometric evidence,e -7fa9b158d301ece512fb53e67deba7bb7506a1e1,Pedestrian detection based on multi-convolutional features by feature maps pruning,"PLA University of Science and Technology, Qinhuai District Nanjing, China" -7fa9b158d301ece512fb53e67deba7bb7506a1e1,Pedestrian detection based on multi-convolutional features by feature maps pruning,"College of Machanical Engineering, Jiangsu Institute of Commerce, Qinhuai District Nanjing, China" 7fdab95ff454a900c710f464c1129cd173059912,Pattern Recognition and Image Analysis,"Institute for Systems and Robotics, Instituto Superior Técnico, Portugal" 7fdab95ff454a900c710f464c1129cd173059912,Pattern Recognition and Image Analysis,"University of Alicante, Spain" 7fdab95ff454a900c710f464c1129cd173059912,Pattern Recognition and Image Analysis,"INESC and University of Porto, Porto, Portugal" -7f02f790f320194d5eccf7665066308e46f5d0e9,Coupled-View Based Ranking Optimization for Person Re-identification,"Research Institute of Wuhan University in Shenzhen, China" -7f02f790f320194d5eccf7665066308e46f5d0e9,Coupled-View Based Ranking Optimization for Person Re-identification,"School of Information Science and Technology, Jiujiang University, China" -7f2a7d076bd2fad956dc5103191e392fb11adc49,"Rapid, detail-preserving image downscaling",TU Darmstadt 7f3c226f2ee3563461a4c5a2c323fb34beab80f5,Traffic sign recognition using visual attribute learning and convolutional neural network,"Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China" -7faa11c9f104977d49563b52387174b87c3ee8b0,Person re-identification using part based hybrid descriptor,"Computer Science and Engineering Department, Christ University, Bangalore- 560074, India" -7faa11c9f104977d49563b52387174b87c3ee8b0,Person re-identification using part based hybrid descriptor,"Centre for Emerging Technologies, Jain University, Karnataka-562112, India" -7f44e5929b11ce2192c3ae81fbe602081a7ab5c4,Real-time recognition of cattle using animal biometrics,"Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India" -7f44e5929b11ce2192c3ae81fbe602081a7ab5c4,Real-time recognition of cattle using animal biometrics,"Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, India" -7f44e5929b11ce2192c3ae81fbe602081a7ab5c4,Real-time recognition of cattle using animal biometrics,"Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, District-Durg, India" 7f9be0e08784835de0f8bc3a82fcca02b3721dc1,Facial expression recognition under random block occlusion based on maximum likelihood estimation sparse representation,"School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, CO 130012 China" 7f6202a8674887398b30cb64f1b44ffc5fda1e6a,Fast learning for multibiometrics systems using genetic algorithms,"GREYC Laboratory, ENSICAEN - Université de Caen Basse-Normandie - CNRS, ENSICAEN 6, boulevard maréchal Juin 14050 Caen Cedex 4 FRANCE" 7f5793c967d53d0a3e88e8bba895336b92d5da90,Dense interest features for video processing,"KU Leuven ESAT-PSI, iMinds" -7f1d7688c4923cab09bf0a548e6f1fc1dd916b51,Boundary aware image segmentation with unsupervised mixture models,"Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany" -7f1078a2ebfa23a58adb050084d9034bd48a8a99,"Fisher discrimination-based $$l_{2,1} $$ l 2 , 1 -norm sparse representation for face recognition","Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China" -7fe249644081e8b6e496867e4743321e7d3eff4f,Computer Vision - ACCV 2012 Workshops,"Department of Electrical Engineering, KAIST, Daejeon, South Korea" 7f29c53c6483919c8467fb596af9596ba546f11b,PRICAI 2018: Trends in Artificial Intelligence,"University of Tasmania, Hobart, Australia" -7ffe0284db4581e814cdcdba48236e63c50a7d54,A New Approach for Automatic Face Emotion Recognition and Classification Based on Deep Networks,"Sinhgad Academy of Engg, Dept. of Electronics and Telecommunication Engg, Kondhwa, India" -7f7452beabc21143e0e48a85da7d8d421abbfe86,Fast Optical Flow Estimation Based on the Split Bregman Method,"Department of Electronic Engineering, Shantou University, Shantou, China" -7f4040b482d16354d5938c1d1b926b544652bf5b,Competitive affective gaming: winning with a smile,"Universidade Nova de Lisboa, Caparica, Portugal" -a7d804aca2243843df383a7f9e312c74980d6d9d,Facial feature extraction with a depth AAM algorithm,"Research Institute of Computer Science and Technology, Ningbo University, China, 315211" a72e5d33361ed5331a4c8cea497df964f9ae6ba7,Face recognition accuracy of Gabor phase representations at different scales and orientations,"School of Engineering and Computer Science, Independent University, Bangladesh" a7ee9c43058efbaa4caa7a93fd833d3c6e90f4b2,3D face recognition using pose invariant nose region detector,"Computer Science Department, University of Technology, Baghdad, Iraq" -a7127869e36c05e8bd0b7a99e645cf22d6651155,Similarity calculation for face verification with convolutional neural network,"Division of Electrical Engineering and Computer Science, Kanazawa University, Ishikawa, Japan" -a7127869e36c05e8bd0b7a99e645cf22d6651155,Similarity calculation for face verification with convolutional neural network,"Kanazawa University, Ishikawa, Japan" -a735c6330430c0ff0752d117c54281b1396b16bf,Automatic location of facial landmarks for plastic surgery procedures,"Clínica Otocenter, Teresina, Piauí, Brasil" -a74abb9ae03bcf212ab97c4412c1be140b3142f7,An embedded access control system for restricted areas in smart buildings,"Computer Institute, Federal University of Alagoas, Maceió - AL, Brazil" a74abb9ae03bcf212ab97c4412c1be140b3142f7,An embedded access control system for restricted areas in smart buildings,"Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal, National institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil, and University of Fortaleza (UNIFOR), Ceará, Brazil" a79704c1ce7bf10c8753a8f51437ccbc61947d03,Robust facial expression recognition using local binary patterns,"Dept. of Comput. Sci., London Univ., UK" -a73405038fdc0d8bf986539ef755a80ebd341e97,Conditional High-Order Boltzmann Machines for Supervised Relation Learning,"Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China" a777101b56fe46c4d377941afcf34edc2b8b5f6f,Learning cognitive manifolds of faces,"Institute for Infocomm Research, A∗STAR, Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 138632" -a784fd9391cc7013c618186017bbf43b806fa004,Discriminative regularized metric learning for person re-identification,"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China" -a7c88a4b6d575c64147a9eb2c79a57a9b3b54062,A Prediction-Correction Approach for Real-Time Optical Flow Computation Using Stereo,"ONERA - The French Aerospace Lab, Palaiseau, France" a7817a19ee8123026491b6389795c040e6040763,Estimation of collision risk for improving driver's safety,"Graduate School of Electrical Engineering, University of Ulsan, 680-749, Republic of Korea" -a77619c8d36c444cae62e767b33b2a8c4e30d4ee,Efficient large scale near-duplicate video detection base on spark,"State Post Bureau Safety Supervision Center, Beijing, 100091, China" a70cfa3d84d0ea64a09faf00ee1b0069d1ebf73f,Video-based face recognition using the POEM descriptor,"Mobile Robots Research Lab., Faculty of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 15875-4413, Iran" a72f0be803c9290923643660caf3bffec4ea3611,Face recognition enhancement by employing facial component classification and reducing the candidate gallery set,"Department of Computer Engineering, Sejong University, Seoul, 143-747, Korea" -a7767accf8ebfb51676062ce7102a3984f446a82,Using Multi-Stage Features in Fast R-CNN for Pedestrian Detection,"Vision Laboratory, LARSyS University of the Algarve, Faro, Portugal" -a75d159bd04f5ff13aef1ac33abccdee27057d60,Mathematical Foundations and Generalisations of the Census Transform for Robust Optic Flow Computation,"Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany" -a75d159bd04f5ff13aef1ac33abccdee27057d60,Mathematical Foundations and Generalisations of the Census Transform for Robust Optic Flow Computation,"Fachbereich Medizintechnik und Technomathematik, Standort Jülich, Fachhochschule Aachen, Jülich, Germany" -a799babbbd56a047feee85d09e57e2c240c5f50c,Image describing based on bidirectional LSTM and improved sequence sampling,"College of Computer Science. Chongqing University, Chongqing, China" 8a0d5ee127bdfa97e11f5becdb834505f8b5ad39,Face recognition based on face partitions using Common Vector Approach,"Department of Electrical and Electronics Engineering, Eski¿ehir Osmangazi University, Me¿lik Campus, 26480, Turkey" -8a0e2cc67b5567d3baf381b076adad6fbb8c7946,Customer Loyalty in Go-Food: The Antecedent of Satisfaction,"Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia" -8a61396ab3eae09d5a6b6bd020bb4433dec52473,Evento 360: Social Event Discovery from Web-scale Multimedia Collection,"International Computer Science Institute, Berkeley, CA, USA" 8a61396ab3eae09d5a6b6bd020bb4433dec52473,Evento 360: Social Event Discovery from Web-scale Multimedia Collection,"Oracle America, Inc., Redwood City, CA, USA" 8a946eb35a96ac65a1230a2798fa2f360a7e47e7,Efficient scene parsing by sampling unary potentials in a fully-connected CRF,NICTA and Australian National University 8a23861d6d700ffa845dc85f2884355fa686ec37,Biometric identification system based on Principal Component Analysis,"Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia" 8a5be2b370c5a1df06e1063b306b2874706c24dc,The Konstanz natural video database (KoNViD-1k),"Department of Computer and Information Science, University of Konstanz, Germany" 8a5be2b370c5a1df06e1063b306b2874706c24dc,The Konstanz natural video database (KoNViD-1k),"Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary" 8a3d969732951e4d22c608d465b091b9272f03bb,Multimedia COMMONS - Community-Organized Multimodal Mining: Opportunities for Novel Solutions (MMCommons Workshop 2015),"Yahoo Labs, San Francisco, CA, USA" -8a63a2b10068b6a917e249fdc73173f5fd918db0,"A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases","Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China" -8a217389b365d06ae323fee744304067c8f62be7,Explainable and Interpretable Models in Computer Vision and Machine Learning,"INAOE, Puebla, Mexico" 8a217389b365d06ae323fee744304067c8f62be7,Explainable and Interpretable Models in Computer Vision and Machine Learning,"INRIA, Université Paris Sud, Université Paris Saclay, Paris, France" 8a217389b365d06ae323fee744304067c8f62be7,Explainable and Interpretable Models in Computer Vision and Machine Learning,"Open University of Catalonia, Barcelona, Spain" -8a217389b365d06ae323fee744304067c8f62be7,Explainable and Interpretable Models in Computer Vision and Machine Learning,"Radboud University Nijmegen, Nijmegen, The Netherlands" -8a09668efc95eafd6c3056ff1f0fbc43bb5774db,Robust Principal Component Analysis Based on Maximum Correntropy Criterion,"National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, China" -8a09668efc95eafd6c3056ff1f0fbc43bb5774db,Robust Principal Component Analysis Based on Maximum Correntropy Criterion,"School of Electronic and Information Engineering, The Dalian University of Technology, Dalian, China" 8acab2740c5b43f1d72009f849c1a8802d98aef2,Smart Car [Application Notes],"Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan" 8a1d81c3e5a4fc3700aa99ef584e46e1cae2a9af,Modeling magnitudes of Gabor coefficients: The β-Rayleigh distribution,"Gradiant (Galician Research and Development Center in Advanced Telecommunications), Spain" 8a1d81c3e5a4fc3700aa99ef584e46e1cae2a9af,Modeling magnitudes of Gabor coefficients: The β-Rayleigh distribution,"TSC Department, University of Vigo, Spain" -8ac2d704f27a2ddf19b40c8e4695da629aa52a54,Expressions Recognition of North-East Indian (NEI) Faces,"Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar, India" -8ac2d704f27a2ddf19b40c8e4695da629aa52a54,Expressions Recognition of North-East Indian (NEI) Faces,"Department of Physics, Tripura University (A Central University), Suryamaninagar, India" 8ae642c87f0d6eeff1c6362571e7cd36dcda60ae,Place-centric Visual Urban Perception with Deep Multi-instance Regression,"San Diego State University, San Diego, CA, USA" 8ae642c87f0d6eeff1c6362571e7cd36dcda60ae,Place-centric Visual Urban Perception with Deep Multi-instance Regression,"University of California at Los Angeles, Los Angeles, CA, USA" 8a1f095e0f84c3ac2e070823cf712103ade62fc4,"Face recognition at-a-distance using texture, Sparse-Stereo, and Dense-Stereo","Computer Vision & Image Processing Laboratory (CVIP), Univ. of Louisville, KY, 40292, USA" 8ab52e11760b929a83dae617afd3d55fb528d110,Fast shape retrieval based on shape contexts,"Dept. of Medical Information Technology, Carinthia University of Applied Sciences, Primoschgasse 8, A-9020 Klagenfurt, Austria" 8ab52e11760b929a83dae617afd3d55fb528d110,Fast shape retrieval based on shape contexts,"Dept. of Electrical and Computer Engineering, Dept. of Internal Medicine, The University of Iowa, 52242, USA" -8acfef0eb76fe38515f1cb742bd0fec8947058b0,Face recognition using Entropy Weighted Patch PCA Array under variation of lighting conditions from a single sample image per person,"Multimedia Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran" 8ab83d6da06a1c0a9f55f32c4d52bb5943b13e2c,Compressed sensing block-wise exposure control algorithm using optical flow estimation,"Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218" 8a9c08bcfce9aa91fe587feeeef07dcc53774a92,Curvelet texture based face recognition using Principal Component Analysis,"Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology(BUET), Dhaka-1000, Bangladesh" 8a382337ada0665ac5edf9e76c4caed0817a35cc,Can Computers Learn from the Aesthetic Wisdom of the Crowd?,"Fraunhofer IAIS, Sankt Augustin, Germany" 8a609abea6d8d71a4547426d8ba858c955a2ef5d,A Crowd-Powered System for Fashion Similarity Search,"European Institute for Participatory Media, University of Applied Sciences Stralsund, Berlin, Germany" 8a609abea6d8d71a4547426d8ba858c955a2ef5d,A Crowd-Powered System for Fashion Similarity Search,"Centre for Research and Technology Hellas, Thessaloniki, Greece" 8a609abea6d8d71a4547426d8ba858c955a2ef5d,A Crowd-Powered System for Fashion Similarity Search,"Technical University of Delft, Delft, The Netherlands" -cf5384353e9285d92ecc59395cb1855168a22fcf,Learning people co-occurrence relations by using relevance feedback for retrieving group photos,"Osaka University Osaka, Japan" -cf01707bafd2850af6a46933a3029bc2a9aeecbf,Smartphone based face recognition tool for the blind,"Advanced Medical Electronics, Maple Grove, MN 55369 USA" -cf01707bafd2850af6a46933a3029bc2a9aeecbf,Smartphone based face recognition tool for the blind,"Advanced Medical Electronics, USA" -cff145873a9fc6a5a836b6f348fe2721ad659605,Image quality assessment based on noise detection,"Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-453331, India" cf98565a19ec05a63dbaf650660b7c3f72de7b2b,Facial appearance and texture feature-based robust facial expression recognition framework for sentiment knowledge discovery,"Digital Image Processing Laboratory, Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan" cf98565a19ec05a63dbaf650660b7c3f72de7b2b,Facial appearance and texture feature-based robust facial expression recognition framework for sentiment knowledge discovery,"Department of Mathematics, Islamia College Peshawar, Peshawar, Pakistan" cf98565a19ec05a63dbaf650660b7c3f72de7b2b,Facial appearance and texture feature-based robust facial expression recognition framework for sentiment knowledge discovery,"Digital Contents Research Institute, Department of Software, Sejong University, Seoul, South Korea" cf98565a19ec05a63dbaf650660b7c3f72de7b2b,Facial appearance and texture feature-based robust facial expression recognition framework for sentiment knowledge discovery,"Department of Computer Science and Engineering, Sejong University, Seoul, South Korea" -cfba667644508853844c45bfe5d0b8a2ffb756d3,Robust gender classification using extended multi-spectral imaging by exploring the spectral angle mapper,"Department of Electronics, University of Goa, India" -cfa00c64740429d101b9b741845b501719f08910,P2CA: How Much Face Information is Needed?,Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it cfa00c64740429d101b9b741845b501719f08910,P2CA: How Much Face Information is Needed?,Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. alrama@gps.tsc.upc.es cfa00c64740429d101b9b741845b501719f08910,P2CA: How Much Face Information is Needed?,Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. tarres@gps.tsc.upc.es cfa00c64740429d101b9b741845b501719f08910,P2CA: How Much Face Information is Needed?,Dipartimento di Elettronica e Informazione - Politecnico di Milano. tubaro@elet.polimi.it -cfef79c6ba4679e2c0ab902905701d39221b6f1f,A robust and imperceptible steganography technique for SD and HD videos,"UIET, Panjab University, Chandigarh, India" cfbfdcf64b6b8b91460c5567efbffa9f68592bea,Deep visual embedding for image classification,"Dept. of Computer Engineering and Mathematics, Rovira i Virgili University, 43007 Tarragona, Spain" cfbfdcf64b6b8b91460c5567efbffa9f68592bea,Deep visual embedding for image classification,"Dept. of Electrical Engineering, Aswan University, 81542 Aswan, Egypt" cfbfdcf64b6b8b91460c5567efbffa9f68592bea,Deep visual embedding for image classification,"Dept. of Electronic and Communications Technology, Autonomous University of Madrid, Madrid, Spain" -cf0ff92591563ab59e18449b79f058d1f9db9e35,Convolutional neural networks based scale-adaptive kernelized correlation filter for robust visual object tracking,"College of Computer Science, Chongqing University Chongqing, China" -cf0ff92591563ab59e18449b79f058d1f9db9e35,Convolutional neural networks based scale-adaptive kernelized correlation filter for robust visual object tracking,"Open Platform Department, China Mobile IOT Company Limited, Chongqing, China" cfec839f66000e45f6bf29af76e4641a30975ef5,Using group behaviors to detect Hofstede cultural dimensions,"Graduate Course in Computer Science, Pontifical Catholic University of Rio Grande do Sul, Brazil" cfe7ee6027bf1edcb7c516eb713b2d68af6205e9,Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios,"CRIPAC & NLPR, CASIA" -cfec3fb4352ebb004b0aaf8b0a3b9869f23e7765,Learning Discrete Hashing Towards Efficient Fashion Recommendation,"School of Information Science and Engineering, Jinan, China" -cfec3fb4352ebb004b0aaf8b0a3b9869f23e7765,Learning Discrete Hashing Towards Efficient Fashion Recommendation,"School of Computer Science and Engineering, UESTC, Chengdu, China" d6bcc9f24176714fc72dae4cad88c12d9825a70d,Sparse Representation Shape Models,"School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, P.R. China" d6bcc9f24176714fc72dae4cad88c12d9825a70d,Sparse Representation Shape Models,"Automobile Transport Command Department, Military Transportation University, Tianjin, P.R. China" d628aabf1a666a875e77c3d3fee857cd25891947,Eye detection in unrestrained settings using efficient match kernels and SVM classification,"Department of Mechanical Engineering, University of Brasília, DF, Brazil 70910-900" d628aabf1a666a875e77c3d3fee857cd25891947,Eye detection in unrestrained settings using efficient match kernels and SVM classification,"Department of Computer Science, University of Brasília, DF, Brazil 70910-900" d6837519e7f028e83140ac2585fe84ebe4aca18a,Fine-grained sketch-based image retrieval: The role of part-aware attributes,School of Electronic Engineering and Computer Science Queen Mary University of London d6829332d0596659272451920d9ff778b0b400af,TCD-TIMIT: An Audio-Visual Corpus of Continuous Speech,"Sigmedia Group, Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland" -d6c936f270cffd8d63b57cd7c6c31b0d9c6e32d3,Speeding-up a convolutional neural network by connecting an SVM network,"Berger Levrault, Labege, France" -d6c936f270cffd8d63b57cd7c6c31b0d9c6e32d3,Speeding-up a convolutional neural network by connecting an SVM network,"University of Nîmes, France" d6c936f270cffd8d63b57cd7c6c31b0d9c6e32d3,Speeding-up a convolutional neural network by connecting an SVM network,"LIRMM, University of Montpellier / CNRS, France" d655dd296ef2c346f56b7b9f08fe7270592dcd29,Crowdsourcing Thousands of Specialized Labels: A Bayesian Active Training Approach,"Zenith Team, INRIA, LIRMM, Montpellier, France" d647c13b55a8c8413dd470b376fb92da77955dcb,Robust zero-shot learning with source attributes noise,"School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, P.R. China" -d67d9abc9c9f9e84ab3647d21db70ca98117f709,Moving people tracking with detection by latent semantic analysis for visual surveillance applications,"Indian Institute of Information Technology and Management, Madhya Pradesh, India" d6e785d3466eeaaae1f6c792f679d1111ab30302,People tracking and re-identification by face recognition for RGB-D camera networks,"Department of Computer Science and Engineering at the Toyohashi University of Technology, Japan" d6e785d3466eeaaae1f6c792f679d1111ab30302,People tracking and re-identification by face recognition for RGB-D camera networks,"Department of Information Engineering at the University of Padua, Italy" d6684b382bed96f7ad84087f9b8f81753065ecf3,Matrix factorization for co-training algorithm to classify human rights abuses,"School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom" d6684b382bed96f7ad84087f9b8f81753065ecf3,Matrix factorization for co-training algorithm to classify human rights abuses,"Institute for Analytics and Data Science School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom" d69ea1032b0fa7ed62cfb77c1569e66f2fa4703b,"Augmenting SIFT with 3D Joint Differential Invariants for multimodal, hybrid face recognition","Department of Political Science, Communication, Engineering and Information Technologies, University of Sassary, Italy" -d68a11b48eda83f21f2b63c591461d58116667c3,Painting-91: a large scale database for computational painting categorization,"Computer Vision Laboratory, Linköping University, Linköping, Sweden" d68a11b48eda83f21f2b63c591461d58116667c3,Painting-91: a large scale database for computational painting categorization,"Norwegian Colour and Visual Computing Laboratory, Gjovik University College, Gjøvik, Norway" d68a11b48eda83f21f2b63c591461d58116667c3,Painting-91: a large scale database for computational painting categorization,"Computer Vision Centre Barcelona, Universitat Autonoma de Barcelona, Catalonia, Spain" d6f5cd81e3957befca075114050185e304d95b05,Facial landmarks detection using improved active shape model on android platform,"Department of Computer Science, Namseoul University, Cheonan, South Korea" @@ -611,20 +343,12 @@ d646c276af63f2e56541ee7acbd9c9188d7a30f1,Embedding Images and Sentences in a Com 6ad42add5596183870ab8e13e46801e265e7e65f,Cheap rendering vs. costly annotation: rendered omnidirectional dataset of vehicles,Brno University of Technology 6ae02dac51860d9124db22a09a160a6478123b33,Median ternary pattern (MTP) for face recognition,"Department of Computer Science and Engineering, Islamic University of Technology, Gazipur-1704, Bangladesh" 6a211543f138d899c1fd98e0ac491ec9689ac167,Evaluation of state-of-the-art pupil detection algorithms on remote eye images,"University of Tübingen, Germany" -6a14b0794d5f9de6d2d72517fdda211b3349bff5,Analysing of key point description applied in the pedestrian path detection in low resolution images,"P.T.Lee. C.N.C.E.T, Kanchipuram, Tamilnadu" 6a14b0794d5f9de6d2d72517fdda211b3349bff5,Analysing of key point description applied in the pedestrian path detection in low resolution images,"Department of ECE, CVR College of Engineering, Hyderabad" -6a14b0794d5f9de6d2d72517fdda211b3349bff5,Analysing of key point description applied in the pedestrian path detection in low resolution images,"Shri JJT University, Rajasthan" 6a5cb60fda310ee2528e9877bc5d2a07cd72505f,Identification-driven emotion recognition system for a social robot,Wroclaw University of Technology 6a092b8bb90234aa48a25ca12b206929fbeaa4a4,Energy-Efficient Deep In-memory Architecture for NAND Flash Memories,Micron Technology Inc. 6a90a2bf7f275b81596e0dacc78ad2991eac0311,Multiple View Oriented Matching Algorithm for People Reidentification,"Department of Electronics, Escuela Politécnica Superior, University of Alcala, Alcalá de Henares, Madrid, Spain" -6a8a30d0039a266a6ae62978359bef3e0256e205,An Ensemble Deep Learning Method for Vehicle Type Classification on Visual Traffic Surveillance Sensors,"Virtual Reality and Interactive Techniques Institute, East China Jiaotong University, Nanchang, China" -6a8a30d0039a266a6ae62978359bef3e0256e205,An Ensemble Deep Learning Method for Vehicle Type Classification on Visual Traffic Surveillance Sensors,"Institute of Energy, Jiangxi Academy of Sciences, Nanchang, China" -6a8a30d0039a266a6ae62978359bef3e0256e205,An Ensemble Deep Learning Method for Vehicle Type Classification on Visual Traffic Surveillance Sensors,"Department of Computer Science, Minjiang University, Fuzhou, China" -6aaf91619dc41d1e442c5439fbf006965758b915,Human age classification using facial skin analysis and multi-class support vector machine,"Dept. of Electronics and Telecommunication Engg., S. G. G. S. Institute of Engineering and Technology, Vishnupuri, Nanded - 431 606, India" -6a931e7b7475635f089dd33e8d9a2899ae963804,Unified convolutional neural network for direct facial keypoints detection,"Pusan National University, Busan, Korea" 6abdeda10a4261ae2d91806d367f7eca19e44792,Face recognition in real-world images,"School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland" 6ad929e6a1d916cfb4552cc3b13430c9029fdf1c,The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB),"Universidad de Vigo, Vigo" -6ad929e6a1d916cfb4552cc3b13430c9029fdf1c,The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB),"TELECOM & Management SudParis, Evry" 6ad929e6a1d916cfb4552cc3b13430c9029fdf1c,The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB),Commissariat à l'Energie Atomique 6ad929e6a1d916cfb4552cc3b13430c9029fdf1c,The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB),"Univeristy of Applied Sciences Western Switzerland, Sierre and University of Fribourg" 6ad929e6a1d916cfb4552cc3b13430c9029fdf1c,The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB),University of Fribourg @@ -632,29 +356,19 @@ d646c276af63f2e56541ee7acbd9c9188d7a30f1,Embedding Images and Sentences in a Com 6ad929e6a1d916cfb4552cc3b13430c9029fdf1c,The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB),"Joanneum Research, Graz" 6ad929e6a1d916cfb4552cc3b13430c9029fdf1c,The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB),"Pompeu Fabra University, Barcelona" 6a59d68bced702ffe02d46285982dd31dc53fc76,Proactive Human Search for the Designated Person with Prior Context Information in an Undiscovered Environments,"Center for Intelligent Robotics at Korea Institute and Technology (KIST), Seoul, Korea" -6ad5ac867c5ca56e0edaece153269d989b383b59,Local feature extraction and recognition under expression variations based on multimodal face and ear spherical map,"School of Automation and Electrical Engineering, University of Science and Technology Beijing, 100083, China" 6a0f62bbc27e5e194cec81e7c24a9b57d698817b,A discussion on fusion/confusion at score level in unimodal biometric systems,"Bilişim ve Bilgi Güvenliği Teknolojileri Araştırma Merkezi, Türkiye Bilimsel Ve Teknolojik Araştırma Merkezi, Kocaeli, Türkiye" 6a0f62bbc27e5e194cec81e7c24a9b57d698817b,A discussion on fusion/confusion at score level in unimodal biometric systems,"ERARGE, Ergünler Ltd. Şti, İstanbul, Türkiye" -6afccf6c6cebfaa0579a23e7cc7737837b090f0f,A facial expression recognition method based on ensemble of 3D convolutional neural networks,"East China University of Science and Technology, Shanghai, China" 6a1cda6b681278a0bdbfd50022f7024dd58411b4,MLP-based face recognition with Gabor filters and PCA,"Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain" 6a8e4947a72c9c3b9267994a5b8f657ea63deb7e,"Self organized scale-free distributed classification using a distributed, unreliable set of limited capability components","Department of Computing, The University of the West Indies, Mona, Kingston 7" 6a915d1f466b9e13ab79d4b59ec4897647dc75e0,Adaptive edge weighting for graph-based learning algorithms,"Department of Engineering, Nagoya Institute of Technology, Nagoya, Japan" -6a747f26f68d113e6df7915177788e844da77496,Speed improvement of object recognition using Boundary-Bitmap of histogram of oriented Gradients,"Movidius Plc., Dublin, Ireland" 6a6a393e8c8924a379110dd6d48a0237242579c1,Action dataset — A survey,"Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Japan" 6adecb82edbf84a0097ff623428f4f1936e31de0,Client-specific A-stack model for adult face verification across aging,"School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland" 6ae63a0097c41b63c2d5df352de985f1058220e9,Fast and viewpoint robust human detection in uncluttered environments,"Université Picardie Jules-Vernes, 80000 Amiens, France" -6ae63a0097c41b63c2d5df352de985f1058220e9,Fast and viewpoint robust human detection in uncluttered environments,"Université de Technologie Compiègne, 60200 Compiègne, France" -6a9e240e5d84b33c0835cd85c96c70ad5ffdc49c,Photographic image synthesis with improved U-net,"School of Computer Science, Hubei University of Technology, Wuhan, China" -6a9e240e5d84b33c0835cd85c96c70ad5ffdc49c,Photographic image synthesis with improved U-net,"Department of Fine Arts Hubei Institute of Fine Arts, Wuhan, China" 6a6406906470be10f6d6d94a32741ba370a1db68,Emotion extraction based on multi bio-signal using back-propagation neural network,"Department of MediaSoftware, Sungkyul University, Anyang-si, Republic of Korea" 6a6406906470be10f6d6d94a32741ba370a1db68,Emotion extraction based on multi bio-signal using back-propagation neural network,"Department of Film and Digital Media, Seokyeong University, Seoul, Republic of Korea" 6afe1f668eea8dfdd43f0780634073ed4545af23,Deep learning for content-based video retrieval in film and television production,"Department of Mathematics and Computer Science, University of Marburg, Marburg, Germany" -6afe1f668eea8dfdd43f0780634073ed4545af23,Deep learning for content-based video retrieval in film and television production,"taglicht media Film- & Fernsehproduktion GmbH, Köln, Germany" -6afe1f668eea8dfdd43f0780634073ed4545af23,Deep learning for content-based video retrieval in film and television production,"German National Library of Science and Technology (TIB), Hannover, Germany" 6afe1f668eea8dfdd43f0780634073ed4545af23,Deep learning for content-based video retrieval in film and television production,"L3S Research Center, Leibniz Universität Hannover, Hannover, Germany" -19ab4566ba6959c4575bd4fc70dc6ba914753766,Fractional Discrete Cosine Transform Based Approach for Compensating the Effect of Light Variations for Robust Face Recognition,"Guru Gobind Singh Indraprastha University, University School of Information & Communication Technology, Sector 16-C, Dwarka, New Delhi-110078, India" 19991e05c949a1279bf6946a42975fab5cb871a8,CommonRoad: Composable benchmarks for motion planning on roads,"Faculty of Informatics, Technische Universitat München, 85748 Garching, Germany" -1956757cabf13a09ec8a469ca9afcf4ff1110527,Continuous multi-biometric user authentication fusion of face recognition and keystoke dynamics,"Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra, India" 19e7ba0098ea0b3fbb7b6333ece0e9740f726db3,Accurate visual tracking by combining Bayesian and evolutionary optimization framework,"Faculty of Computer Science, Universitas Indonesia, Indonesia" 19e7ba0098ea0b3fbb7b6333ece0e9740f726db3,Accurate visual tracking by combining Bayesian and evolutionary optimization framework,"Mathematics Department, School of Computer Science, Bina Nusantara University, Indonesia" 19eaad7f48669d9e316b781183c5c07f0d867b02,Graph transformation for keypoint trajectory coding,"Mitsubishi Electric Research Labs (MERL), Cambridge, Massachusetts, USA" @@ -662,77 +376,44 @@ d646c276af63f2e56541ee7acbd9c9188d7a30f1,Embedding Images and Sentences in a Com 19d36b11b3e99615691a2c8deb964d803906ffa2,Non-rigid registration of 3D facial surfaces with robust outlier detection,"Institute for Human-Machine Communication, Technische Univeritat Munchen, Arcisstr. 3, 80333, Germany" 1964131464ebf42f378c64277924c8451c651b5c,Pedestrian action prediction using static image feature,"National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba Ibaraki, 305-8568, Japan" 1964131464ebf42f378c64277924c8451c651b5c,Pedestrian action prediction using static image feature,"Mazda Motor Co., 2-5 Moriya-cho Kanagawa-ku, Yokohama, Kanagawa 221-0022, Japan" -19dba5d36b145739651594ae74d6cc4dce91aa08,Beyond Homology Transfer: Deep Learning for Automated Annotation of Proteins,"FAST National University of Computer and Emerging Sciences, Peshawar, Pakistan" 19dba5d36b145739651594ae74d6cc4dce91aa08,Beyond Homology Transfer: Deep Learning for Automated Annotation of Proteins,"Department of Computer & Control Engineering, Politecnico di Torino, Torino, Italy" -1966055f13a7475100d18843f85717f312511805,CG Benefited Driver Facial Landmark Localization Across Large Rotation,"Datang Guoxin Binhai Offshore Wind Power Co., Ltd" -199d4e49f959a6d77da6054ddba7ea328d5acbb4,"A robust analysis, detection and recognition of facial features in 2.5D images","Department of Computer Science and Engineering, RCC Institute of Information Technology, Kolkata, India" 19a4e3458003d5160e9efd31ba4789cf46f61583,Development of a Facial Expression Imitation System,"Information Security Research Division, Electronics and Telecommunications Research Institute, Yuseong-gu, Daejeon, 305-700, Republic of Korea. bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr" 195659b922e57d4508ab267d92d1abdcde2dc9e2,Real-time robust human tracking based on Lucas-Kanade optical flow and deep detection for embedded surveillance,"Department of Information and Communication Technology, Soongsil University, Seoul, Korea" 195659b922e57d4508ab267d92d1abdcde2dc9e2,Real-time robust human tracking based on Lucas-Kanade optical flow and deep detection for embedded surveillance,"Department of Smart Systems Software, Soongsil University, Seoul, Korea" 195aec5513d3fbd1892079fc0fb3ffea0e108ac5,Articulated tracking with manifold regularized particle filter,"Department of Computer Science, Wrocław University of Technology, Wrocław, Poland" 19d189e88b8ad20c7b211f1fea5fadd87fab56e6,Loose coupling visual-lidar odometry by combining VISO2 and LOAM,"Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology, Beijing 100081, P. R. China" 19dd371e1649ab55a46f4b98890d6937a411ec5d,Face recognition despite missing information,"MIT Lincoln Laboratory, 244 Wood Street, Lexington, MA 02420" -195efc2587512a08c86183454241d76c216573a2,Modeling Mixed Traffic in Shared Space Using LSTM with Probability Density Mapping,"Institute of Cartography and Geoinformatics, Leibniz Universität, Hannover, Germany" 19b492d426f092d80825edba3b02e354c312295f,A survey on face modeling: building a bridge between face analysis and synthesis,"ISIR laboratory, Pierre and Marie Curie university, Paris Cedex 05, France" 19b492d426f092d80825edba3b02e354c312295f,A survey on face modeling: building a bridge between face analysis and synthesis,"FAST, Supélec, Avenue de la Boulaie, Cesson-Sévigné, France" 19941761feadceb20897974483ede809c4793aa0,Enhancing airplane boarding procedure using vision based passenger classification,"Department of Industrial Engineering, Università degli Studi di Salerno, Italy" 19941761feadceb20897974483ede809c4793aa0,Enhancing airplane boarding procedure using vision based passenger classification,"Department of Industrial Engineering, Università degli Studi di Napoli “Federico II”, Italy" 19941761feadceb20897974483ede809c4793aa0,Enhancing airplane boarding procedure using vision based passenger classification,"Department of Economics and Statistics, Università degli Studi di Napoli “Federico II”, Italy" -19d4379e424e7166537442bfae918b55ff12e722,Super-fast parallel eigenface implementation on GPU for face recognition,"Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, India" 19317c6aa7f88c79abe03b146aa5d340a11fde3f,Object Proposal Generation With Fully Convolutional Networks,"Keio-National University of Singapore (NUS) Connective Ubiquitous Technology for Embodiments Center, Interactive and Digital Media Institute, NUS, Singapore" -19c5a8e8015a950cebe0deb94c2154e0da44ade8,3D Facial expression synthesis: A survey,"Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kuching, Malaysia" -191a3f67bfeec06383d083c9d826676bcd9205b2,Object detection based on local feature matching and segmentation,"Department of Electronics Information Engineering, Xi'an Technological University, China" 196c12571ab51273f44ea3469d16301d5b8d2828,Is gender encoded in the smile? A computational framework for the analysis of the smile driven dynamic face for gender recognition,"Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK" 19be0940e0cec7d990f388f03bb5374e240feccd,Similarity-based matching for face authentication,"GREYC Laboratory, ENSICAEN - Université de Caen - CNRS, 6 boulevard Maréchal Juin, 14000, France" -19d4b3679294563247c126148912d44cbf03e40e,Value-Aware Resampling and Loss for Imbalanced Classification,"Information Science School, Guangdong University of Finance and Economics, China" -19b727567c0d63dd5594f96e70f5ccd8ff1b4e33,New histogram computation adapted for FPGA implementation of HOG algorithm: For car detection applications,"Dept. of Electronics, Telecommunications and IT, University Politehnica Bucharest, Romania" 199b14fecde214c0e7cb8ec4126dcdf9962bc650,Towards Multi-View Object Class Detection,KU Leuven (BE) -12fa3c73a7764cb65bb76fed0601fc5d79893bcd,Person re-identification by symmetry-driven accumulation of local features,"Dipartimento di Informatica, University of Verona, Italy" 1257488885ab81ce41578bb244c258772681791a,Unified hierarchical multi-object tracking using global data association,"Institute for Human-Machine Communication, Technische Universität München" 1253223b9efba52a9d0ab2efac79d2c0d010e7a3,Fight Recognition in Video Using Hough Forests and 2D Convolutional Neural Network,"VISILAB Group, E. T. S. I. Industriales, University of Castilla–La Mancha, Ciudad Real, Spain" -1252727e8096f48096ef89483d30c3a74500dd15,Action recognition using edge trajectories and motion acceleration descriptor,"School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China" -1252727e8096f48096ef89483d30c3a74500dd15,Action recognition using edge trajectories and motion acceleration descriptor,"School of Electrical Engineering and Automation, Qilu University of Technology, Jinan, China" 12b3116aee4c8119f6d822bb32637ecc57704f3c,Blur-invariant traffic sign recognition using compact local phase quantization,"Faculty of Engineering, Department of Electrical Engineering, Aswan University, Egypt" -1207ed9a9d8784427417c3efe788d2d76a7dc216,Classification of sign-based image representations based on distance functions,"National Research University Higher School of Economics, Moscow, Russia" -1207ed9a9d8784427417c3efe788d2d76a7dc216,Classification of sign-based image representations based on distance functions,"CVisionLab, LLC, Taganrog, Russia" 1299d9b498e30c67833b4d82a209204dcf696ef4,Human head-shoulder segmentation,"Hewlett-Packard Labs, 1501 Page Mill Rd. Palo Alto, CA, USA" 120f269cbbaeaef9dfe1de0d28ba8b39cd05b618,Detecting 3D facial Action Units via registration,"Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey" -12bb0cb32e48269da2902c4c6d41ea2966ba8462,Incremental tensor by face synthesis estimating for face recognition,"Department of Transportation Engineering, Beijing Institute of Technology, 100081, China" 126b045d5899f7ff4feab858cf95d7cc3c8004c6,Symmetry-Aided Frontal View Synthesis for Pose-Robust Face Recognition,"Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. danisub@gts.tsc.uvigo.es" 126b045d5899f7ff4feab858cf95d7cc3c8004c6,Symmetry-Aided Frontal View Synthesis for Pose-Robust Face Recognition,"Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. jalba@gts.tsc.uvigo.es" 12cb66f687e0f0a79c995c0aa08ff855ef1c4ed0,Incorporating higher-order point distribution model priors into MRFs using convex quadratic programming,"Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran" -12fd9a2349446a47d50251db6f981a12330f5ac3,On experimenting with pedestrian classification using neural network,"TDC, Network Systems and Technologies (NeST) Technopark, Thiruvananthapuram - 695581, India" 12ad3b5bbbf407f8e54ea692c07633d1a867c566,Object recognition using segmentation for feature detection,"Inst. of Comput. Sci., Univ. of Leoben, Austria" -12e4545d07e1793df87520f384b37a015815d2f7,"Age invariant face recognition: a survey on facial aging databases, techniques and effect of aging","Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India" 1283398de84ec0178dc74d41a87febfbfbcbbb02,Face recognition using activities of directed graphs in spatial pyramid,"COMVILAB - Computational Vision and Intelligence Laboratory, Federal University of Mato Grosso do Sul - Ponta Porã Campus, Rua Itibiré Vieira, s/n, 79907-414, Brasil" 12cecce5e5bd53212830cb0b8f5cc593a58c215e,Tree-Structured Models for Efficient Multi-Cue Scene Labeling,"Department of Environment Perception, Daimler AG, Böblingen, Germany" -12cecce5e5bd53212830cb0b8f5cc593a58c215e,Tree-Structured Models for Efficient Multi-Cue Scene Labeling,"Department of Computer Science, TU Darmstadt, Darmstadt, Germany" 1287639dca7a7510af82f0840012db9d7873930e,Fast and Accurate Facial Landmark Localization in Depth Images for In-Car Applications,"University of Modena and Reggio Emilia, Modena, Italy" 126bdedeb55f2ca1a40e65c87dcb18bd038148b2,Data and Applications Security and Privacy XXX,"The Mitre Corp, McLean, USA" 127c7f87f289b1d32e729738475b337a6b042cf7,Real-Time Drowsiness Detection Algorithm for Driver State Monitoring Systems,"Electronics and Telecommunications Research Institute, Korea" -12fe91ab616b797e22543ae6c2afa7866dbc9a49,Action recognition from a distributed representation of pose and appearance,"University of California, at Berkeley" 124a31521fb0b1a9cd1b1618baf07bc69684cd0c,Auto-tagging of images in non-english languages using tag language conversion,"KDDI R&D Laboratories Inc., Fujimino, Saitama, Japan" -124a31521fb0b1a9cd1b1618baf07bc69684cd0c,Auto-tagging of images in non-english languages using tag language conversion,"Uppsala University, Uppsala, Sweden" 1299d40434a894b4f443cc0550e2bdc30248dbc6,A Comparative Analysis of Deep and Shallow Features for Multimodal Face Recognition in a Novel RGB-D-IR Dataset,"INESC-TEC, Porto, Portugal" 1299d40434a894b4f443cc0550e2bdc30248dbc6,A Comparative Analysis of Deep and Shallow Features for Multimodal Face Recognition in a Novel RGB-D-IR Dataset,"Faculty of Engineering, University of Porto, Porto, Portugal" -12a155be0f3d5e4c8bf08cc79fdb964bce1f4b55,Survey and analysis of extraction of human face features,"Department of Information Technology, Dharmsinh Desai University, Nadiad, India" -12017d411ad5db2fce87eee19540ba22dc87bdf1,People detection in heavy machines applications,"Université de Technologie de Compiègne (UTC), France" -12017d411ad5db2fce87eee19540ba22dc87bdf1,People detection in heavy machines applications,"Technical center for the Mechanical Industry (CETIM), France" -95b5296f7ec70455b0cf1748cddeaa099284bfed,Measurement of Static and Dynamic Bio- Parameters of a Person in Remote Systems for Current Psycho- Emotional and Functional State Monitoring,"Department of Electronic Measuring systems, Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Moscow, Russia" -95e7cf27a8ee62b63ed9d1ecb02a7016e9a680a6,Simultaneous Learning of Nonlinear Manifolds Based on the Bottleneck Neural Network,"Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran" 95d8523b7782b9f162a73e60796d355e1d4de301,"Evolution of the Brain, Cognition, and Emotion in Vertebrates","Department of Neuropsychiatry, Netherlands Institute for Neuroscience, Amsterdam Zuidoost, The Netherlands" -9555e76d705da6a3eaccb9731369b5e925cdc834,A feature fusion strategy for person re-identification,"Huawei Technologies, Beijing, China" -95738166f0e8e66af1b23e28af2a6834c86e12e0,Local binary pattern feature vector extraction with CNN,"Dept. of Inf. Technol., Univ. of Turku, Finland" -95d1533866f8ab59b7709c2106df013faa9a0b43,Support vector machines for face recognition with two-layer generated virtual data,"Inst. of Comput. Technol., Chinese Acad. of Sci., China" 95e3b78eb4d5b469f66648ed4f37e45e0e01e63e,Facial point localization via neural networks in a cascade regression framework,"Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany" 95e3b78eb4d5b469f66648ed4f37e45e0e01e63e,Facial point localization via neural networks in a cascade regression framework,"Institute of Neural Information Processing, University of Ulm, Ulm, Germany" -95dfbcac082aa68a8fa97099c4fd46834c43153a,Mobile Match-on-Card Authentication Using Offline-Simplified Models with Gait and Face Biometrics,"u’smile, the Josef-Ressel-Center for User-Friendly Secure Mobile Environments, University of Applied Sciences Upper Austria, Wels, Austria" 9564b36faecb356a56ce4a3545722a94daccd4cd,Evaluation of Deep Models for Real-Time Small Object Detection,"Multimedia Communications Laboratory at University of Information Technology, Vietnam National University, Ho Chi Minh City, Vietnam" 95a7ce2163b3fbd49bb8d0813a9f67e651bea3a5,Coupled feature spaces learning with joint graph regularization for person re-identification,"College of Mechanical and Material Engineering, North China University of Technology, Beijing, P.R. China" -950de0d355f770b7f36511ee5dfde59602c21b0b,Implementation of human-robot VQA interaction system with dynamic memory networks,"Robotics Program, KAIST, Daejeon, Republic of Korea" -950de0d355f770b7f36511ee5dfde59602c21b0b,Implementation of human-robot VQA interaction system with dynamic memory networks,"School of Electrical Engineering, KAIST, Daejeon, Republic of Korea" -953a85e036a017124a21d69dde6dc3b4fcd7fe5d,Reconstruction error based pedestrian detection in infrared videos,"School of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, China" -953a85e036a017124a21d69dde6dc3b4fcd7fe5d,Reconstruction error based pedestrian detection in infrared videos,"Science and Technology on Information, Systems Engineering Laboratory, Nanjing 210007, China" 95c63bddb6d6801c1d6cefa1765eec6a5797c416,The Vera am Mittag German audio-visual emotional speech database,"Institut für Nachrichtentechnik (INT), Universität Karlsruhe (TH), Germany" 95c63bddb6d6801c1d6cefa1765eec6a5797c416,The Vera am Mittag German audio-visual emotional speech database,"Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA" 95abb8fe71b1208c979ddc62e4f3b333735b3a9c,Active collaborative ensemble tracking,"Graduate School of Informatics, Kyoto University Yoshida-Honmachi, Sakyo Ward, Kyoto 606-8501, Japan" @@ -740,99 +421,55 @@ d646c276af63f2e56541ee7acbd9c9188d7a30f1,Embedding Images and Sentences in a Com 95264dd570b2747f863fa6c52cdde3d0cbbede2a,Privacy-conscious human detection using low-resolution video,"Fujitsu Kyushu Network Technologies Limited, Fukuoka, Japan" 95c5ccc1fb2ac1d51fd18a8a18ecbcb33a910096,Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph,"Computer Science Department, University at Albany, State University of New York, Albany, USA" 95c5ccc1fb2ac1d51fd18a8a18ecbcb33a910096,Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph,"Computer Engineering Department, University at Albany, State University of New York, Albany, USA" -95c5ccc1fb2ac1d51fd18a8a18ecbcb33a910096,Multi-Camera Multi-Target Tracking with Space-Time-View Hyper-graph,"School of Computer and Control Engineering, University of the Chinese Academy of Sciences, Beijing, China" -95023e3505263fac60b1759975f33090275768f3,Facial Expression Recognition in Daily Life by Embedded Photo Reflective Sensors on Smart Eyewear,"National Institute of Advanced Industrial Science and Technology (AIST), Koto, Tokyo, Japan" 95342efc83fac4cf61046c99c23e99706358fe70,Facial expression recognition using enhanced local binary patterns,"Computer Enginering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey" 95342efc83fac4cf61046c99c23e99706358fe70,Facial expression recognition using enhanced local binary patterns,"Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey" 957cbe90130c85ffa610a31df072680134fbdd46,Design and implementation of a mobile robot with autonomous door opening ability,"Department of Computer Science and Information Engineering, National Formosa University, Taiwan, R. O. C." 95e35ac9f097290e8637a8439ebb40bb9ba4eeed,Stereo odometry based on careful feature selection and tracking,"Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000, Croatia" -9590b09c34fffda08c8f54faffa379e478f84b04,Efficient Dual Approach to Distance Metric Learning,"Defence Science and Technology Organisation (DSTO), Edinburgh, Australia" 950bf95da60fd4e77d5159254fed906d5ed5fbcb,Clustering Faces in Movies Using an Automatically Constructed Social Network,Reallusion Corporation -95c3749c8b7a900ece82b3d5fbef16eb0c853112,Distributed Person of Interest Tracking In Camera Networks,"Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka" 95f641ddebc34740b7d44b0b8e8bff0163534891,Enhancing sports image search and retrieval using multi-modality ontology,"Information System Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt" 955aa950f57cde6dcdd8d70476288f8407762d4c,Ensemble-of-Concept Models for Unsupervised Formation of Multiple Categories,"Department of Mechanical Engineering and Intelligent Systems, University of Electro-Communications, Chofu, Japan" 95cfb4cf747268a065a27f876cdd10d4e59b6180,Design of support vector machine circuit for real-time classification,Convergent SoC Research Center Korea Electronics Technology Institute -95d0cd902ff0fa253b6757ba3c8e09ce25b494cc,A novel method for eye tracking and blink detection in video frames,"Division of Electronics and Communication Engineering, School of Engineering, Cochin University of Science and Technology, Kochi - 682022, Kerala, India" 95601da73c7090ff23c101739426d4ad51ff4c90,"Representation, Analysis, and Recognition of 3D Humans: A Survey","IMT Lille Douai, Lille, France" b0751b7361e691b0df7dc70f6c39d41d6cfc04ed,A Low-Complexity Pedestrian Detection Framework for Smart Video Surveillance Systems,"Center of Excellence in Intelligent Engineering Systems (CEIES) and Electrical & Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia" -b0b9fca75b56a9f0010805c7055e8e677e7b82f3,Robust facial feature localization with probabilistic constrained local models,"Division of System Integration and IC Design, Institute of Nano-tech and Nano-bionics, CAS, Suzhou, China" -b017f588d281bce0a92043ea47ed4cec5db3ff33,Personalized Graphical Models for Anatomical Landmark Localization in Whole-Body Medical Images,"Mirada Medical Ltd, Oxford, UK" b017f588d281bce0a92043ea47ed4cec5db3ff33,Personalized Graphical Models for Anatomical Landmark Localization in Whole-Body Medical Images,"Siemens Molecular Imaging Ltd, Oxford, UK" b0b49b1626a9c33843eff609fdb42decdd1f8b90,A classification of emotion and gender using approximation image Gabor local binary pattern,"Department of Computer Science, Gyan Ganga Institute of Technology & Sciences, Jabalpur, M.P, India - 482001" b07f9dfc904d317fa71c1efa9b466460abc0bee5,Deep learning for fusing multi-sensor person-borne IED data,"Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America" b07f9dfc904d317fa71c1efa9b466460abc0bee5,Deep learning for fusing multi-sensor person-borne IED data,"Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH 43209, United States of America" b07f9dfc904d317fa71c1efa9b466460abc0bee5,Deep learning for fusing multi-sensor person-borne IED data,"Black Cat Science Inc., Boston, MA 02467, United States of America" -b0b944b3a783c2d9f12637b471fe1efb44deb52b,Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium),Stanford University and Coursera b0b944b3a783c2d9f12637b471fe1efb44deb52b,Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium),Coursera and Stanford University -b02d31c640b0a31fb18c4f170d841d8e21ffb66c,Localized region context and object feature fusion for people head detection,"School of Computer, National University of Defense Technology Changsha, China, 410073" b099df0a0c5abeff5586a1389e9278613e6c0c64,Flame detection using deep learning,"Auckland University of Technology, Auckland 1010 New Zealand" -b0502dcc6df378ee3ddeefeeb1cc51a20e04f39b,Local-Gravity-Face (LG-face) for Illumination-Invariant and Heterogeneous Face Recognition,"Department of Information Technology, RCC Institute of Information Technology, Kolkata, India" b0cce83fedd64f46af401e04d15f50f294bc8259,Pedestrian detection with depth-guided structure labeling,"Sarnoff Corporation, Princeton, NJ, USA" -b0c601a43384524d85ff4aa0bce65b2091133b47,SIFT-based matching algorithm and its application in ear recognition,"School of Computer & Communication Engineering, University of Science and Technology Beijing, China" -b0c601a43384524d85ff4aa0bce65b2091133b47,SIFT-based matching algorithm and its application in ear recognition,"Beihai Yinhe Industry Investment Co., Ltd., China" -b0c601a43384524d85ff4aa0bce65b2091133b47,SIFT-based matching algorithm and its application in ear recognition,"School of Computer Science and Engineering, University of Science and Technology Liaoning, Anshan, China" 93c14fa9778fc98fe1e078131179d3402c7d1d0c,Traffic Sign Detection from Lower-quality and Noisy Mobile Videos,"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York" 93b7ee9842114bc15202ff97941892aa848c0716,Physiological signals and recognition of negative emotions,"Dept. name of organization Electronics and Telecommunications Research Institute Daejeon, South Korea" 93978ba84c8e95ff82e8b5960eab64e54ca36296,AMHUSE: a multimodal dataset for HUmour SEnsing,"University of Tours, France" -93ece2d76dc69c7340c6e2c499b58c27dc9e3de7,Efficient pose machine based on parameter-sensitive hashing,"Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China" 93ac4d0824ab1824f9a508426860876cfb198863,Stereo ambiguity index for semi-global matching,"Université Paris-Est, LEPSIS, IFSTTAR, F-77447 Marne-la-Vallée, France" 93ac4d0824ab1824f9a508426860876cfb198863,Stereo ambiguity index for semi-global matching,"LIGM (UMR 8049), École des Ponts, UPE, Champs-sur-Marne, France" -93d11da02205bbc5ae68e521e421f70a4b74a7f7,Emotion recognition and reaction prediction in videos,"Department of Computer Engineering, Maharashtra Institute of Technology, Pune, India" 93115b81d1efc1f6d2788972bdb89908764890b6,Emotional facial expression interface: effects of displayed facial designs,"LIP, UPMF, Grenoble, Cedex" 93115b81d1efc1f6d2788972bdb89908764890b6,Emotional facial expression interface: effects of displayed facial designs,"LIG, CNRS, Grenoble, Cedex" -939d28859c8bd2cca2d692901e174cfd599dac74,Facial expression recognition based on texture and shape,"The 28th Research Institute of China Electronics Technology Group Corporation, China" 93567fb7d33bf588463156e6f7fd734420022e86,Spoofed Video Detection Using Histogram of Oriented Gradients,"Information and Communication Technology, Gautam Buddha University, Greater Noida" -9377376b366dc6b7c1ec03db7ffe611056263202,Human eye location algorithm based on multi-scale self-quotient image and morphological filtering for multimedia big data,"School of Information Engineering, Henan University of Science and Technology, Luoyang, China" -9377376b366dc6b7c1ec03db7ffe611056263202,Human eye location algorithm based on multi-scale self-quotient image and morphological filtering for multimedia big data,"College of Software and Communication Engineering, Xiangnan University, Chenzhou, China" -934824fcd19fcff4baa2053ca669bef4c614143c,Efficient hough forest object detection for low-power devices,"Media Integration and Communication Center - University of Florence, Italy" 93fa3d850e1aa84ce6fc0f2fdd0bda028fb6ca8f,Context-aware reinforcement learning for re-identification in a video network,"Center for Research in Intelligent Systems, University of California, Riverside, USA 92507" 9355b789dac162ad50c31cdf5d9a196cdc09828e,Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network,"Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA" -9355b789dac162ad50c31cdf5d9a196cdc09828e,Group Structure Preserving Pedestrian Tracking in a Multicamera Video Network,"Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA" -935c6a5087f7683942a1999495647a02190dd8de,DietCam: Multiview Food Recognition Using a Multikernel SVM,"Microsoft, Inc., Seattle, WA, USA" -93d6dacdce6708db29ab3eed1683aad561fd0239,A review on 2D ear recognition,"Department of Computer Graphics and Multimedia, Universiti Teknologi Malaysia, Johor Bahru, Malaysia" 936547a21fa52c0a8df4705a7d9af3817b1235a8,Learning deep compact channel features for object detection in traffic scenes,"Department of Electronic Computer Engineering, Hong Kong University of Science Technology" 936547a21fa52c0a8df4705a7d9af3817b1235a8,Learning deep compact channel features for object detection in traffic scenes,"School of Engineering and Advanced Technology, Massey University" -93ae6b140d7dab7fea958da3fe537b0c80334c30,Biomedical signal quality assessment via learning to rank with an application to mechanical heart signals,"Department of Future Technologies, University of Turku, Finland" -d1580e818932ba23b38784b48d3e472ec91cd746,Decomposed human localization in personal photo albums,"Hunan University of Humanities, Science and Technology, China" -d1aa4a707be30f68f237eae0208cfc0622ea299e,Cross-media analysis and reasoning: advances and directions,"Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China" -d1775eb9d8898a9f66c28bb92b648c3174caec18,Smile recognition based on face texture and mouth shape features,"College of Communication and Information Engineering, Xi'an University of Science and Technology, China" -d1477e7a555f6ecfe3cec4dc19faf5d92b2b758b,The relation between the ROC curve and the CMC,"Exploratory Comput. Vision Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA" -d13c01d8218ddc744dffb040a8dce055ebd3000f,ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18),"EIS, Huazhong Univ. Sci. and Tech., China" d13c01d8218ddc744dffb040a8dce055ebd3000f,ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18),"Computer Science Depart., Rochester University, USA" -d13c01d8218ddc744dffb040a8dce055ebd3000f,ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18),"German Aerospace Center (DLR), Germany" d13c01d8218ddc744dffb040a8dce055ebd3000f,ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18),"DAIS, University of Venice, Italy" -d15662886a615521d4205fa1ededb3d794b9f944,Multi-modal people tracking on a mobile companion robot,"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany" d11d0151618987ce00a88ceda55d35f0bb89122e,An analysis of automatic gender detection by first-order configural relations,"Dept. of Comp. Eng. Fac. of Eng., Gazi University Ankara, Turkey" -d121714f0862cf923883008b570dcdd70e9128e5,Fast moving pedestrian detection based on motion segmentation and new motion features,"Fraunhofer FKIE, Wachtberg, Germany" -d141c31e3f261d7d5214f07886c1a29ac734d6fc,Unsupervised Video Hashing via Deep Neural Network,"Liaocheng University, Liaocheng, China" d1eab889815d3686e3c3e0f80246b058823f10e1,Robust gender recognition for uncontrolled environment of real-life images,"Department of Electrical Engineering, Yuan-Ze Univsersity, Taiwan" d1edb8ba9d50817dbfec7e30f25b1846941e84d8,Blind late fusion in multimedia event retrieval,"TNO, Oude Waalsdorperweg, AK The Hague, The Netherlands" d1edb8ba9d50817dbfec7e30f25b1846941e84d8,Blind late fusion in multimedia event retrieval,"Radboud University, EC Nijmegen, The Netherlands" d1edb8ba9d50817dbfec7e30f25b1846941e84d8,Blind late fusion in multimedia event retrieval,"City University, Kowloon Tong, Hong Kong" d14e3100f4c761e98369bcb6e801e4fc500e44c7,Human activity monitoring for falling detection. A realistic framework,"Department of Electronics, University of Alcalá, Alcalá de Henares, SPAIN" -d14538b0e5fc144c8f600591f75cfa977cc02daa,A Fourier series based expression deformation model for 3D face recognition,"Harbin Institute of Technology Shenzhen Graduate School, 518055 Guangdong China" -d18e2ccc4f1413870a760a11e7a4fac19aed5553,Evaluation of stacked autoencoders for pedestrian detection,"Escuela de Ingeníeria Informática, Universidad Católica de Temuco, Temuco, Chile" d12d2f87517e3d63d62599a72752445819320c03,Compressed sensing for face recognition,"University of Melbourne, Australia" d1e8672193befaf62ad327fb88da0685976746ac,Unsupervised camera localization in crowded spaces,Stanford University in the Computer Science department -d18cca5e90884020e748e7fe2d13398d3cbd14fb,Facial shape and albedo reconstruction based on a trained prototype,"School of electrical and information engineering, Shandong University At Weihai, China" -d12bea587989fc78b47584470fd8f689b6ab81d2,Robust Face Representation Using Hybrid Spatial Feature Interdependence Matrix,"LIAMA, French National Institute for Research in Computer Science and Control, Paris, France" d1f9047dd3a5a086131582b4e5811c07220b2361,TasvirEt: A benchmark dataset for automatic Turkish description generation from images,"Hacettepe Bilgisayarlı Görü Laboratuvarı (HUCVL), Hacettepe Üniversitesi, Turkey" d1f9047dd3a5a086131582b4e5811c07220b2361,TasvirEt: A benchmark dataset for automatic Turkish description generation from images,"Bilgisayar Müh. Bölümü, Orta Doğu Teknik Üniversitesi, Turkey" d14badb33740b42833ccd620b344fd75c35df2b7,Group happiness assessment using geometric features and dataset balancing,"Advanced Digital Sciences Center at University of Illinois, Singapore / Nanyang Technological University, Singapore" d1ff495047a47ea686cde7806cc04b377ef9984f,Augmented songbook: an augmented reality educational application for raising music awareness,"L3i Laboratory, Université de La Rochelle, La Rochelle cedex 1, France" d1ff495047a47ea686cde7806cc04b377ef9984f,Augmented songbook: an augmented reality educational application for raising music awareness,"EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bicêtre, France" -d1d14401d5c2ffcbba10a867905df47a99445b97,Projective Weight-Based Unsupervised Laplacian Graph Learning for Person Re-Identification,"Signal Processing of Ministry of Education Southeast University, Key Laboratory of Underwater Acoustic, China" -d1d14401d5c2ffcbba10a867905df47a99445b97,Projective Weight-Based Unsupervised Laplacian Graph Learning for Person Re-Identification,"Shandong Agricultural University, College of Information Science and Engineering, China" -d1d14401d5c2ffcbba10a867905df47a99445b97,Projective Weight-Based Unsupervised Laplacian Graph Learning for Person Re-Identification,"PLA Army Engineering University, College of Communication Engineering, China" -d1d14401d5c2ffcbba10a867905df47a99445b97,Projective Weight-Based Unsupervised Laplacian Graph Learning for Person Re-Identification,"Department of Fundamental Research, PLA Army Engineering University, China" -d1e1c489ffe0331313e9c626a971bbaacc633774,Cheating behavior detection based-on pictorial structure model,"USTECH(Beijing) Technology Co. Ltd., China" -d15e93d223ab255a5d3ed6918004784a4a636fd7,Co-Referenced Subspace Clustering,"CBSR&NLPR. Institute of Automation Chinese Academy of Sciences., Beijing, 100190, China" d16471d4a5c300a122c1b1a4c802ce4748835e1a,Employing Domain Specific Discriminative Information to Address Inherent Limitations of the LBP Descriptor in Face Recognition,"University of St Andrews North Haugh St Andrews KY16 9SX Fife, Scotland, United Kingdom" d12a53e797f799108415ee925c6cb6e626ce6d89,Double Phase Pedestrian Detection with Minimal Number of False Positives per Image,"Electronics and Telecommunications Research Institute, Youga, Dalsung, Daegu, Korea" 226e0c7189b48c5beb40e18e55f81199ab7a7409,Exploiting Negative Evidence for Deep Latent Structured Models,"Sorbonne Universités, Paris, France" 226e0c7189b48c5beb40e18e55f81199ab7a7409,Exploiting Negative Evidence for Deep Latent Structured Models,"CEDRIC-Conservatoire National des Arts et Métiers, Paris, France" -2254930afe019a0d10c9c0d8e11af8897ec77fa1,Face recognition based on a novel illumination normalization method,"Faculty of Computer Science and Engineering, Xi'an University of Technology, China" -2254930afe019a0d10c9c0d8e11af8897ec77fa1,Face recognition based on a novel illumination normalization method,"Graduate School, Xi'an University of Technology, China" 22648dcd3100432fe0cc71e09de5ee855c61f12b,Automatic generation of composite image descriptions,"Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beersheba, Israel" 22b4bd52b99cf08c188ead1e5aec87e242f095dd,Pose VariantFace Recognition Based on Linear Mapping,"School of Computer Science and Technology, Hubei University of Science and Technology, P. R. China" 22e482d9136b5eab65b7e3eb7ee1743c1ad8167a,Multi-factor biometrics for authentication: a false sense of security,"University of Buckingham, Buckingham, United Kingdom" @@ -842,24 +479,15 @@ d12a53e797f799108415ee925c6cb6e626ce6d89,Double Phase Pedestrian Detection with 2243752f527b502b848fb1385ab3bfbe8f57e135,Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views,"Department of EECS, University of California, Berkeley, USA" 2243752f527b502b848fb1385ab3bfbe8f57e135,Robust Algebraic Segmentation of Mixed Rigid-Body and Planar Motions from Two Views,"HRL Laboratories, LLC, Malibu, USA" 228b899a16400c4e23ac1a7eb6de3e69797bbcf7,Self-paced cross-modality transfer learning for efficient road segmentation,TuSimple -228b899a16400c4e23ac1a7eb6de3e69797bbcf7,Self-paced cross-modality transfer learning for efficient road segmentation,"Department of Electrical Engineering, University of Petroleum (East China), Shandong, China" 229317fe9b066b6f6f4961920123a03d777dd283,A novel face recognition method based on IWLD and IWBC,"Key Laboratory of System Controal and Information Processing, Ministry of Education of China, Shanghai, People’s Republic of China" -22c06284a908d8ad0994ad52119773a034eed7ee,Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks,"NTT Corporation, Atsugi, Japan" 220b66f1d7d33c3d6439133c211810d7cd642354,Speech-driven eyebrow motion synthesis with contextual Markovian models,"Université Pierre et Marie Curie (LIP6), Paris, France" 220b66f1d7d33c3d6439133c211810d7cd642354,Speech-driven eyebrow motion synthesis with contextual Markovian models,"CNRS-LTCI, Institut Mines-TELECOM TELECOM ParisTech, France" -22f3158eccb3ec449f23db87e270a46202cc9571,Experiences on sensor fusion with commonsense reasoning,"Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Modena, Italia" -22f3158eccb3ec449f23db87e270a46202cc9571,Experiences on sensor fusion with commonsense reasoning,"Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Reggio Emilia, Italia" -22f3158eccb3ec449f23db87e270a46202cc9571,Experiences on sensor fusion with commonsense reasoning,"Institute of Computer Engineering, University of Lübeck, Lübeck, Germany" -2227fb88da0ec66b5dc75a6c026022920e1fe605,Shallow and deep learning for image classification,"Joint Institute for Nuclear Research, Dubna, Moscow oblast, Russia" 2227fb88da0ec66b5dc75a6c026022920e1fe605,Shallow and deep learning for image classification,"Sukhoi State Technical University of Gomel, Gomel, Belarus" 22d7f08af8851b89240a17afbdac24e9d9dc33eb,Deep Detection of People and their Mobility Aids for a Hospital Robot,"Faculty of Computer Science, University of Freiburg, Freiburg, Germany" 22554e829483d9914c95ada66ad6e7a92ff42b25,Autonomous Navigation Control for Quadrotors in Trajectories Tracking,"Dep. DECEM, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador" 22554e829483d9914c95ada66ad6e7a92ff42b25,Autonomous Navigation Control for Quadrotors in Trajectories Tracking,"CICTE Research Center, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador" -22554e829483d9914c95ada66ad6e7a92ff42b25,Autonomous Navigation Control for Quadrotors in Trajectories Tracking,"GREC Research Group, Universitat Politècnica de Catalunya, Barcelona, Spain" 22554e829483d9914c95ada66ad6e7a92ff42b25,Autonomous Navigation Control for Quadrotors in Trajectories Tracking,"IOC Research Institute, Universitat Politècnica de Catalunya, Barcelona, Spain" 22d5aeb25bb034f6ae2fc50b5cdd9934a85d6505,An Effective Machine Learning Approach for Refining the Labels of Web Facial Images,"National Ilan University, Ilan, Taiwan Roc" -228eaf76e75de3ae12c28e5134b7b6095c16c49d,Label Transfer by Measuring Compactness,"Computer Science Department, Technical University of Cluj-Napoca, Cluj Napoca, Romania" -229890f8ccd486ac377eecc689010458035b9a8a,Exploiting low-rank structures from cross-camera images for robust person re-identification,"Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan" 22deaa0f2e8e054caa47e2a0969d875d2c8fece9,Novel face recognition method using trend vector for a multimedia album,"Mobile Communications R&D, LG Electronics, Inc., Seoul, Korea" 22859493a419d791ec737817df53f5225e3c48fc,A multi-configuration part-based person detector,"Communication Systems Group, Technische Universitat Berlin, Germany" 22dfc98d9641ac008043cad987a13f9d63ad8418,Video Scene Change Detection Using Convolution Neural Network,"Dept. of Copyright Protection, Sangmyung University, Seoul, Korea" @@ -867,17 +495,10 @@ d12a53e797f799108415ee925c6cb6e626ce6d89,Double Phase Pedestrian Detection with 57723da316c019628460daeaba143537d4dd1327,Continuous pain related behavior recognition from muscle activity and body movements,"Dept. of Electronic and Computer Engineering, Brunel University London, Uxbridge, UB8 3PH, UK" 574476d73737fc8cdf2fde04a9750d1c3d83934c,Tracking All Road Users at Multimodal Urban Traffic Intersections,"Department of Computer and Software Engineering, Polytechnique Montréal, Montréal, QC, Canada" 574476d73737fc8cdf2fde04a9750d1c3d83934c,Tracking All Road Users at Multimodal Urban Traffic Intersections,"Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, Montréal, QC, Canada" -5760d29574d78e79e8343b74e6e30b3555e48676,An Intelligent Music Player Based on Emotion Recognition,"R V College of Engineering, Department of Computer Science and Engineering, Bangalore, India" 57349fa966e3b66ffd251ff596a8b2510c07cb4a,Computers Helping People with Special Needs,"Institute Integriert Studieren, Universität Linz, Linz, Austria" -57349fa966e3b66ffd251ff596a8b2510c07cb4a,Computers Helping People with Special Needs,"Rehabilitationswissenschaften, Technische Universität Dortmund, Dortmund, Germany" 57349fa966e3b66ffd251ff596a8b2510c07cb4a,Computers Helping People with Special Needs,"Masaryk University , Brno, Czech Republic" -573179ee797ee20f41f8146be5c2664c349c2229,Accelerating Infinite Ensemble of Clustering by Pivot Features,"College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China" -573179ee797ee20f41f8146be5c2664c349c2229,Accelerating Infinite Ensemble of Clustering by Pivot Features,"Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE" -573179ee797ee20f41f8146be5c2664c349c2229,Accelerating Infinite Ensemble of Clustering by Pivot Features,"College of Information Science and Engineering, Henan University of Science and Technology, Luoyang, China" -573179ee797ee20f41f8146be5c2664c349c2229,Accelerating Infinite Ensemble of Clustering by Pivot Features,"Department of Electrical & Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China" 573179ee797ee20f41f8146be5c2664c349c2229,Accelerating Infinite Ensemble of Clustering by Pivot Features,"Division of Computing Science & Maths, School of Natural Sciences, University of Stirling, Stirling, UK" 57aa1aad8883bab59054f95d6d2771fa9d271df5,Satellite image retrieval using semi-supervised learning,"NOAA /NGDC, 325 Broadway, Boulder, CO 80305, USA" -5775c9f48566d239a2062e7f5e1cd70ae760221d,Multi-model Traffic Scene Simulation with Road Image Sequences and GIS Information,"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an City, 710049, China" 5775c9f48566d239a2062e7f5e1cd70ae760221d,Multi-model Traffic Scene Simulation with Road Image Sequences and GIS Information,"School of Advanced Technology and Science, Tokushima University, Tokushima, 770-8501, Japan" 5775c9f48566d239a2062e7f5e1cd70ae760221d,Multi-model Traffic Scene Simulation with Road Image Sequences and GIS Information,"HERE Technologies, 425 W Randolph St, Chicago, Illinois, 60606, USA" 577faf190e6348cd72fb9efa696c69c4c291c794,Automatic Sleep System Recommendation by Multi-modal RBG-Depth-Pressure Anthropometric Analysis,"Computer Vision Center, Cerdanyola del Vallès, Spain" @@ -885,81 +506,50 @@ d12a53e797f799108415ee925c6cb6e626ce6d89,Double Phase Pedestrian Detection with 577faf190e6348cd72fb9efa696c69c4c291c794,Automatic Sleep System Recommendation by Multi-modal RBG-Depth-Pressure Anthropometric Analysis,"Dormity.com®, Sant Cugat del Vallès, Spain" 577faf190e6348cd72fb9efa696c69c4c291c794,Automatic Sleep System Recommendation by Multi-modal RBG-Depth-Pressure Anthropometric Analysis,"Dept. Matemàtica Aplicada i Anàlisi, UB, Barcelona, Spain" 57c5501d9937fa43291dbd3f95288aded8b2dca1,Groups Re-identification with Temporal Context,"INRIA, Sophia Antipolis, France" -5735c1b752f08a8263ba0d7c52ef5607f177f343,Kernelization of locality preserving discriminant projection,"Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India 382007" 57283eea328099f878978ebcb382b06d9c6c20de,Flow of Information in Feed-Forward Denoising Neural Networks,"Department of Computer, Science Seattle University, WA, USA" 57a903864f1a64160457cb9ff172aa4c865b6a9a,Face2Emoji: Using Facial Emotional Expressions to Filter Emojis,"University of Oldenburg, Oldenburg, Germany" 57a903864f1a64160457cb9ff172aa4c865b6a9a,Face2Emoji: Using Facial Emotional Expressions to Filter Emojis,"OFFIS - Institute for Information Technology, Oldenburg, Lower-Saxony, Germany" 57a903864f1a64160457cb9ff172aa4c865b6a9a,Face2Emoji: Using Facial Emotional Expressions to Filter Emojis,"OFFIS - Institute for Information Technology, Oldenburg, Germany" -57582fd607c8aad7245b497a6a68bc3a1901ef08,Neural Personalized Ranking for Image Recommendation,"Texas A&M Univerisity, College Station, TX, USA" -577f009d44839e279732ff901ebbb6a09dfb9fb7,Qualitative evaluation of visibility enhancement techniques on SAMEER-TU database for security and surveillance,"Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar-799022, Tripura (W), India" 57e5930c790ab68af3201e211483d88819e7563d,Robust deformable shape reconstruction from monocular video with manifold forests,"Robotics and Computer Vision Laboratory, Computer Vision and Machine Learning Research Group, College of Science and Technology, University of Central Lancashire, Preston, UK" -57ba4b6de23a6fc9d45ff052ed2563e5de00b968,An efficient deep neural networks training framework for robust face recognition,"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China" 576a15c6a2f83b0b22f692809e4d62ccc114a55e,Face Verification Using GaborWavelets and AdaBoost,"University of Reading, UK" 57558bfe896ca98777f6345a07e65752585496cb,Discriminative feature fusion for image classification,"K.U. Leuven, ESAT-PSI, Leuven, Belgium" 57558bfe896ca98777f6345a07e65752585496cb,Discriminative feature fusion for image classification,"CNRS, UMR 5516, Laboratoire Hubert Curien, F-42000, Saint-Étienne, France" -579fabe2a068228d4020050da3d68e9314148db5,Person Re-Identification Based on Spatiogram Descriptor and Collaborative Representation,"College of Communications Engineering, PLA University of Science and Technology, Nanjing, China" 575134b3d99ffde52f238b82b74d6ca3fc5ba08d,Detector with focus: Normalizing gradient in image pyramid,"Department of Computer Science and Engineering, POSTECH, Korea" 576d8fb95655b67f50a7aafda2bb4e220eba19f4,"Colour Object recognition combining Motion Descriptors, Zernike Moments and Support Vector Machine","University of Burgundy, Le2i, BP 47870 21078 Dijon, France; University of Sfax, CES Laboratory, Tunisia" 576d8fb95655b67f50a7aafda2bb4e220eba19f4,"Colour Object recognition combining Motion Descriptors, Zernike Moments and Support Vector Machine","University of Burgundy, Le2i, BP 47870 21078 Dijon, France" -57c82df62b8212df8efe8cfab33f666cc7a2fc8d,An Illumination Insensitive Representation for Face Verification in the Frequency Domain,"Adv. Technol. Application Center, Havana" 57f8b25fd16218d321a4ce9b3de72f129b9f8e66,Pedestrian detection based on LIDAR-driven sliding window and relational parts-based detection,"Intelligent Vision Research Lab, Federal University of Bahia, Brazil" 5763b09ebca9a756b4adebf74d6d7de27e80e298,Picture-specific cohort score normalization for face pair matching,"Department of Sciences and Information Technology, University of Sassari, Viale Mancini 5, 07100 Sassari, Italy" -007fbc7a1d7eae33b2bb59b175dd1033e5e178f3,Enabling Live Video Analytics with a Scalable and Privacy-Aware Framework,"Intel Labs, Pittsburgh PA" 00a38ebce124879738b04ffc1536018e75399193,Convolutional neural network for age classification from smart-phone based ocular images,"Dept. of Computer Science and Electrical Engineering, University of Missouri-Kansas City, MO, USA" 00f8387fdeb6f009ffdc9bef6a94b37294d77633,Multimodal feature generation framework for semantic image classification,"CEA, LIST, Vision & Content Engineering Laboratory, Gif-sur-Yvettes, France" 0068fb32720da464072ac9aaeba539c6db746986,Automatic remote evaluation system for biometric testing,"University Carlos III of Madrid, Univ. Group for Identification Technologies, Avda. Universidad, 30, E-28911 - Leganes; SPAIN" 0068fb32720da464072ac9aaeba539c6db746986,Automatic remote evaluation system for biometric testing,"Research and Academic Computer Network (NASK), Biometrics Laboratory, Poland" -00b1451fcfc14fc8109e8108a61819e821fc4ac9,A hierarchical hybrid model for intelligent cyber-physical systems,"Dipartimento di Ingegneria dell'Informazione Università Politecnica delle Marche, Via Brecce Bianche, 60131, Ancona, Italy" 00d0f2ec2036fb26ffcf882eb0aa47da0693192e,A novel facial expression recognition method using fast BEMD based edge detection,"Department of Engineering and Technology, Kimmel School, Western Carolina University, Cullowhee, NC 28723 U.S.A." 00c8e15cf9cbe9c68fbf00f040a632a37cd944df,Using image saliency and regions of interest to encourage stronger graphical passwords,"Institute of Public Administration, Riyadh, Saudi Arabia" -00c8e15cf9cbe9c68fbf00f040a632a37cd944df,Using image saliency and regions of interest to encourage stronger graphical passwords,Florida Institute of Technology -00dfd28b91ef1e1bfa2e205dadaf23325b207751,Face-and-clothing based people clustering in video content,"Université de Toulouse, Toulouse, France" 00616b487d4094805107bb766da1c234c3c75e73,Integrating gazetteers and remote sensed imagery,"University of California, Merced, CA" 00f5c0ad23a9d7c312a316d2a8c6539aadfc95aa,Simultaneous learning of a discriminative projection and prototypes for Nearest-Neighbor classification,"Universidad Politécnica de Valencia, Instituto Tecnológico de Informática, Camino de Vera s/n, 46022 (Spain)" 003021d47a752fc2d8bb8555643cbcd6361e74b4,"Adaptive algorithm selection, with applications in pedestrian detection","SONY Electronics Inc., San Jose, CA, 95112, USA" 003021d47a752fc2d8bb8555643cbcd6361e74b4,"Adaptive algorithm selection, with applications in pedestrian detection","University of California, Riverside Riverside, CA, 92521, USA" -00eb50f2c9792168bbd387fa7871bb7af5e7c8d7,Resolution enhancement of textual images via multiple coupled dictionaries and adaptive sparse representation selection,"LIRIS, INSA-Lyon, CNRS, UMR5205, University of Lyon, Lyon, France" 002c6674ece9be5ef783942de8f88026994d832d,Image classification using local binary pattern operators for static images,"Department of Medical Informatics, University of Medicine and Pharmacy “Victor Babes”, Piata Eftimie Murgu, 300041 Timisoara" -00bd394ad1373372ea21297789bcbfe1693885f5,Number of faces affect performance of rigid joint alignment,"Software School, Shenyang University of Technology, China" -00bd394ad1373372ea21297789bcbfe1693885f5,Number of faces affect performance of rigid joint alignment,"School of Information Science and Engineering, Shenyang University of Technology, China" 00e266ce507bd7bc248190e135824619decd5ac9,Mixed group ranks: preference and confidence in classifier combination,"DIMACS CORE, Rutgers Univ., Piscataway, NJ, USA" 008528d5e27919ee95c311266041e4fb1711c254,User-adaptive image retrieval via fusing pointwise and pairwise labels,"Alibaba Group, Zhejiang, People’s Republic of China" -00d4c2db10f3a32d505d7b8adc7179e421443dec,Data driven adaptation for QoS aware embedded vision systems,"Computer Science and Engineering, Pennsylvania State University, PA, USA SiliconScapes, LLC, PA, USA" 00785be241b28161c320693ca3611e1787a25978,Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis,"Yahoo! Research, Haifa" -00bfef58353564f4e4bd7e2cb68cb66953cf9103,Automatic recognition of facial expression using features of salient patches with SVM and ANN classifier,"Dept. of Electronics, Rajiv Gandhi Institute of Technology (RIT), Kottayam, Kerala, India" 00eafcf56c556983edd5f0dec76561e6e23aded0,Viseme definitions comparison for visual-only speech recognition,"Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland" -00f2ff5aca7737f2ddf67d4621fa4df6a951b0bc,Local–class–shared–topic latent Dirichlet allocation based scene classification,"NARI Group Corporation, Nanjing, China" 007e269f105b44042491537d5d7c35cf5b553feb,Classification in face recognition by multiclass probabilistic discriminate analysis,"GRIFT Research Group, CRISTAL Laboratory, National School of Computer Sciences, University of Manouba, Tunisia" 00091da5ae37d0e63854ceb038eb5e7472cb4b03,Synergy between Object Recognition and Image Segmentation Using the Expectation-Maximization Algorithm,"University of California at Los Angeles, Los Angeles" 00533c79ba906cee9441654ada8071150e85f5ad,Illumination and Expression Invariant Face Recognition: Toward Sample Quality-based Adaptive Fusion,"Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. harin.sellahewa@buckingham.ac.uk" 00533c79ba906cee9441654ada8071150e85f5ad,Illumination and Expression Invariant Face Recognition: Toward Sample Quality-based Adaptive Fusion,"Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. sabah.jassim@buckingham.ac.uk" 004db007ac193d8df3630c453b5ceed773ccc4d9,Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters,"Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece" 003ba2001bd2614d309d6ec15e9e2cbe86db03a1,A novel post-nonlinear ICA-based reflectance model for 3D surface reconstruction,"Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan" -92d1e292c00cb307fd5ad074b5c172aabf052ae2,Real-time Semantic Segmentation-based Depth Upsampling using Deep Learning,"Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania" -92facdae51b96e256649ff3dd112ec5cd3feb466,Asian female face classification incorporating personal attractive preference,"Faculty of Engineering, Shinshu University, Japan" 9227c1a5b26556b9c34015b3ea5f9ae5f50e9b23,Development of deep learning-based facial expression recognition system,"Broadcasting & Telecommunications, Convergence Media Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea" 927b52d5caa2a38abadea5be6b531c1aa03d99e0,Estimating high definition map parameters with convolutional neural networks,"MBRDNA, Sunnyvale, USA" 92e7e867daa56d531646e75c4e1b72e6983e59d6,Searching with expectations,"INRIA, France" -92dd389bf0ca3d651ed3be85b14e6a31866b1ed2,Mining visual phrases for long-term visual SLAM,"Faculty of Engineering, University of Fukui, Japan" 9217dd87274bb6b5ddf9bb403a065822eaf9efdf,Dense disparity map-based pedestrian detection for intelligent vehicle,"IoT and Robotics Convergence Research Division, Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu, Republic of Korea" -924ba14f62e3c8da005082401625b3f71587198a,"A Single Hierarchical Network for Face, Action Unit and Emotion Detection","Learning Affect and Semantic Imaging (LASII) Group, Indian Institute of Technology Ropar, India" 92d6e4067acade472773ef94ec76e8586c4e256f,Cluster validity index based on Jeffrey divergence,"LE2I Lab, UMR CNRS 6306, University of Burgundy, Dijon, France" 92b2386e11164738d9285117ae647b4788da2c31,Pedestrian detection with multiple classifiers on still images,"Elektronik ve Haberleşme Mühendisliği Bölümü, NETAŞ Telekomünikasyon A.Ş, İstanbul, Türkiye" -92b2386e11164738d9285117ae647b4788da2c31,Pedestrian detection with multiple classifiers on still images,"Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye" 92bc5cfe5d0492c532e7d118a467104fc53bf487,Robust frontal view search using multi-camera constrained Isomap,"Department of Biomedical Engineering, Oregon Health & Science University, Beaverton, 97006, USA" -927f86a6498e2a528f025e86782ce4ede317ae0b,Transfer classification for distinct manifestations with shared information,"Institute of Applied Mathematics, Academy of Science, Beijing, 100190, China" -928b6bc4492740e8eba83366e9b21eb47ba59067,Recognizing human faces under varying degree of Illumination: A comprehensive survey,"Department of Electronics and Communication Engineering Govt. of Karnataka R&D Sahyadri College of Engineering and Management, Mangaluru 575007, India" -92ac98744ee8b110a1e569b30c2f8c08778a382a,Grey wolf optimization algorithm for facial image super-resolution,"Multimedia and Information Security Lab, ABV-Indian Institute of Information Technology and Management, Gwalior, India" -92ac98744ee8b110a1e569b30c2f8c08778a382a,Grey wolf optimization algorithm for facial image super-resolution,"Department of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow, India" -92fb2cb7f9a54360ea4442f902472aded5e88c74,Blackthorn: Large-Scale Interactive Multimodal Learning,"IT University of Copenhagen, Copenhagen, Denmark" -92d051d4680eb41eb172d23cb8c93eed7677af56,Adversarial Spatial Frequency Domain Critic Learning for Age and Gender Classification,"Image and Video Systems Lab, School of Electrical Engineering, KAIST, South Korea" 92a26d999fd3fcbea6470e060190df30d198f6e2,The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements,"Université Joseph Fourier and INRIA Rhône-Alpes, Grenoble, France" 92a26d999fd3fcbea6470e060190df30d198f6e2,The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements,"University of Sheffield, Sheffield, United Kingdom" 92a26d999fd3fcbea6470e060190df30d198f6e2,The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements,"INRIA Rhône-Alpes, Grenoble, France" -92f4d324150c8da468829d51d1df8f659752f5c4,Design space exploration for adaptive privacy protection in airborne images,"Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Austria" -9215d36c501d6ee57d74c1eeb1475efd800d92d3,An optimization framework of video advertising: using deep learning algorithm based on global image information,"Business School of Sichuan University, Chengdu, China" -9215d36c501d6ee57d74c1eeb1475efd800d92d3,An optimization framework of video advertising: using deep learning algorithm based on global image information,"Digital Media Art Department, Sichuan Film and Television University, Chengdu, China" -9215d36c501d6ee57d74c1eeb1475efd800d92d3,An optimization framework of video advertising: using deep learning algorithm based on global image information,"Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China" 928d8e39ed97a6deed59b3d0eece44a9fb7b3116,Tracking Vertex Flow and Model Adaptation for Three-Dimensional Spatiotemporal Face Analysis,"Department of Computer Science, The State University of New York at Binghamton, Binghamton, NY, USA" 928d8e39ed97a6deed59b3d0eece44a9fb7b3116,Tracking Vertex Flow and Model Adaptation for Three-Dimensional Spatiotemporal Face Analysis,"Department of Computer Science, The State University of New York at Binghamton, Binghamton , NY, USA" 9277f1c5161bb41d4ed808c83d53509c8a1a2bdd,Neutral expression modeling in feature domain for facial expression recognition,"Department of EEE, Indian Institute of Technology (IIT) Guwahati, India-781039" @@ -967,23 +557,19 @@ d12a53e797f799108415ee925c6cb6e626ce6d89,Double Phase Pedestrian Detection with 92911c43f91cc93a3357b48bc685ed676ef9ec11,Local Patterns of Gradients for Face Recognition,"Faculty of Information Technology, Vietnam Maritime University, Haiphong, Vietnam" 92911c43f91cc93a3357b48bc685ed676ef9ec11,Local Patterns of Gradients for Face Recognition,"GIPSA-Laboratory, Université Grenoble Alpes, Grenoble, France" 928d711b592aca0635e3b4717f7cae31f5aaa9ce,“Avoiding or approaching eyes”? Introversion/extraversion affects the gaze-cueing effect,"Neuropsychology Laboratory, Department of Psychology, Second University of Naples, Caserta, Italy" -928d711b592aca0635e3b4717f7cae31f5aaa9ce,“Avoiding or approaching eyes”? Introversion/extraversion affects the gaze-cueing effect,"Division of Psychology and Language Sciences, University College of London, London, UK" 928d711b592aca0635e3b4717f7cae31f5aaa9ce,“Avoiding or approaching eyes”? Introversion/extraversion affects the gaze-cueing effect,"Salvatore Maugeri Foundation, IRCCS, Scientific Institute of Telese Terme (BN), Telese Terme, Italy" 922ea66a77fbe53f781c83d3553f8b3e406965e7,Active Multitask Learning With Trace Norm Regularization Based on Excess Risk,"Commonwealth Scientific and Industrial Research Organization, Marsfield, NSW, Australia" -3adf719a5f451a61e98823783b5f2e049bbffa2d,Image Captioning with Scene-graph Based Semantic Concepts,"School of ECE, Peking University Shenzhen Graduate School, Shenzhen, China" 3a05415356bd574cad1a9f1be21214e428bbc81b,Multinomial Naive Bayes for real-time gender recognition,"Geospatial Laboratory, Universidad Católica del Maule, Talca, Chile" 3a2a4edc0d3573b2d408ccc573bee4aa219c1e88,Person Re-Identification by Cross-View Multi-Level Dictionary Learning,"Adobe Research, San Jose, CA" 3ad1e34dad185501ebae44dd9dbf0f5c91aff183,Fast and efficient face recognition system using random forest and histograms of oriented gradients,"Computer Science Department, University of Moncton, NB, Canada, E1A 3E9" 3ad1e34dad185501ebae44dd9dbf0f5c91aff183,Fast and efficient face recognition system using random forest and histograms of oriented gradients,"Institue for Information Technology, National Research Councilof Canada, NB, Moncton, E1A 7R1" 3aec4bf3cee81e9574879bb04e5da7f8b310671b,Pattern Recognition Applications and Methods,"Technical University of Lisbon, Lisbon, Portugal" 3aec4bf3cee81e9574879bb04e5da7f8b310671b,Pattern Recognition Applications and Methods,"Sapienza Università di Roma, Roma, Italy" -3aec4bf3cee81e9574879bb04e5da7f8b310671b,Pattern Recognition Applications and Methods,"Instituto Superior Técnico, Instituto de Telecomunicações, Lisbon, Portugal" 3a5cde0caa9cfc7b6f3c04ebc3d798e7e73e216d,A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance,Los Alamos National Laboratory and University Of Washington 3a5cde0caa9cfc7b6f3c04ebc3d798e7e73e216d,A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance,Intel Labs 3aadcd1e809d07965db79dbd4f026e89500c2a1f,Simulations and performance evaluation of Real-Time Multi-core Systems,"Department of Computer Sciences, Thompson Rivers University, Kamloops, BC, Canada" 3a42872d476891d9cbff3a512aad38f5a14c2cdc,Cross-Camera Knowledge Transfer for Multiview People Counting,"Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan" 3a42872d476891d9cbff3a512aad38f5a14c2cdc,Cross-Camera Knowledge Transfer for Multiview People Counting,"Smart Network System Institute, Institute for Information Industry, Taipei, Taiwan" -3a39f3cd10e2078d750cdc826e8fd203c9beda9e,Unified Sparse Subspace Learning via Self-Contained Regression,"School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China" 3a39f3cd10e2078d750cdc826e8fd203c9beda9e,Unified Sparse Subspace Learning via Self-Contained Regression,"Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong Baptist University (HKBU), Hong Kong" 3a5857ddc847f6d1c5a6e9e0732999a254a71bf3,RoboCup 2013: Robot World Cup XVII,"Computer Science Institute VI: Autonomous Intelligent Systems, University Bonn, Bonn, Germany" 3a6334953cd2775fab7a8e7b72ed63468c71dee7,Automated social skills training with audiovisual information,"Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan" @@ -993,87 +579,49 @@ d12a53e797f799108415ee925c6cb6e626ce6d89,Double Phase Pedestrian Detection with 3a92de0a4a0ef4f88e1647633f1fbb13cd6a3c95,Face Recognition Using Kernel Ridge Regression,"Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. svetha@cs.curtin.edu.au" 3a85fd73b2063fe9c9c9a124e36f25bf60e83eea,Improving the quality of K-NN graphs through vector sparsification: application to image databases,"National Institute of Informatics, Chiyoda-ku, Japan" 3aa9d042e977f99d1124d6ce6cd83d3feb975ec2,Using large-scale web data to facilitate textual query based retrieval of consumer photos,"Eastman Kodak Company, Rochester, USA" -3af1f13b72191e092aa5885913c6e5d00e4415b5,"Evaluation of facial expressions as an interaction mechanism and their impact on affect, workload and usability in an AR game","AAU UMR CNRS 1563, Ecole Centrale de Nantes, France" -3a49507c46a2b8c6411809c81ac47b2b1d2282c3,Exploring joint encoding of multi-direction local binary patterns for image classification,"Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education, Chongqing, China" -3a837dd686e5b34fd2fee1ecb340d9238128eff3,Recognition of facial images with subspace projection and dissimilarity representation,"Faculty of Telecommunications, TU-Sofia" -3a837dd686e5b34fd2fee1ecb340d9238128eff3,Recognition of facial images with subspace projection and dissimilarity representation,Ternopil National Economic University -3a65dfbeb848ccf4221acc820a987d4e9d46c6db,The reliable recovery mechanism for person-following robot in case of missing target,"Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 133-791, Korea" 3a65dfbeb848ccf4221acc820a987d4e9d46c6db,The reliable recovery mechanism for person-following robot in case of missing target,"Division of Mechanical Convergence Engineering, Silla University, Busan, 46958, Korea" 3a30a54d8df929933e5e20bb7a4484f0a5a325f1,"Gathering and ranking photos of named entities with high precision, high recall, and diversity","Free University of Bozen-Bolzano, Bolzano, Italy" 3abb03b50ed38487ba122bb0330ea7217f6f49c2,Semantic segmentation priors for object discovery,"Catchoom, Barcelona, Spain" 3abb03b50ed38487ba122bb0330ea7217f6f49c2,Semantic segmentation priors for object discovery,"Institut de Robòtica i Informàtica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain" 3adb3d43bd1e12659c7bc31f8da51adac4187abb,RAVEL: an annotated corpus for training robots with audiovisual abilities,"INRIA Grenoble Rhône-Alpes, Montobonnot, France" 3adb3d43bd1e12659c7bc31f8da51adac4187abb,RAVEL: an annotated corpus for training robots with audiovisual abilities,"Universität Bielefeld, Bielefeld, Germany" -3a3aff63229d6b6e5310985d2c7fc18808895b7b,Kernel linear regression for face recognition,"Key Laboratory of Urban Planning and Decision-Making Simulation, Shenzhen, China" 3a824616c851b15381330f4f3aeba05054f36a9e,Discriminative features for identifying and interpreting outliers,"Department of Computer Science, Aarhus University, Denmark" 3a824616c851b15381330f4f3aeba05054f36a9e,Discriminative features for identifying and interpreting outliers,"Institut für Informatik, Ludwig-Maximilians-Universität München, Munich, Germany" 3a71881855d75cb68d0f0cb17be234ef1864011e,Fashion World Map: Understanding Cities Through Streetwear Fashion,"Academia Sinica, Taipei, Taiwan Roc" -3a3e55cf5bfd689d6c922e082efa0cd71cd2ae5c,Face tracking with convolutional neural network heat-map,"Chonnam National University, Gwangju, Korea" 3adae788b345c778d93d51cb9a1a5c38e718b1a6,Oculomotor Plant Characteristics: The Effects of Environment and Stimulus,"Computer Science Department, Texas State University, San Marcos, TX, USA" -de1a5ce1abd2e82825a967b199e98480cfb8a909,Circular traffic sign recognition empowered by circle detection algorithm,"Bilgisayar Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye" de877f1d4749973fe23b1f4de5cee91550284812,Neural Networks for Emotion Recognition in the Wild,"Kielce University of Technology, Kielce, Poland" de69410bf819bcc6d487de3548293a542c381e3d,"Multimodal biometric system using face, ear and gait biometrics","Islamic Azad University of Najaf Abad, Isfahan, Iran" de69410bf819bcc6d487de3548293a542c381e3d,"Multimodal biometric system using face, ear and gait biometrics","Digital Signal Processing Research Lab, Department of Electrical Engineering, Isfahan University of Technology, Iran" -de1aafc4f737d17b211fb84b80bace40f82c148b,Person Re-Identification by Dual-Regularized KISS Metric Learning,"School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China" de1b83d1c7df1dcb39f9efcac443e87d17752f7c,Understanding holistic human pose using class-specific convolutional neural network,"Computer Vision Research Lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran" -de04e7b854a27d514635e51221a233a3c27feaa2,Eyes localization in an infrared image,"School of Information science and Engineering Central South University Changsha, Hunan 410083, China" de04e7b854a27d514635e51221a233a3c27feaa2,Eyes localization in an infrared image,"Department of Electrical & Computer Engineering Dalhousie University Halifax, Nova Scotia B3J 2X4, Canada" -de02043fd479a2bcf23d30ab4496cc4e0d84f699,Zero-Shot Person Re-identification via Cross-View Consistency,"School of Computer, China University of Geosciences, Wuhan, China" -de02043fd479a2bcf23d30ab4496cc4e0d84f699,Zero-Shot Person Re-identification via Cross-View Consistency,"School of Information Science & Technology, Jiujiang University, Jiujiang, China" -de09cb5eeff5e7a752567c009f7621dfa6ebb2da,Generating Affective Captions using Concept And Syntax Transition Networks,"University of Kaiserslautern, Kaiserslautern, Germany" -de09cb5eeff5e7a752567c009f7621dfa6ebb2da,Generating Affective Captions using Concept And Syntax Transition Networks,"German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany" de09cb5eeff5e7a752567c009f7621dfa6ebb2da,Generating Affective Captions using Concept And Syntax Transition Networks,"German Research Center for Artificial Intelligence (DFKI), University of Kaiserslautern, Kaiserslautern, Germany" dec76940896a41a8a7b6e9684df326b23737cd5d,Seeing through the expression: Bridging the gap between expression and emotion recognition,"Dept. of Comput. Sci. & Info. Eng., National Yunlin Univ. of Science & Technology, Taiwan" de005cf88856b4b56e8eea242fdb16dabec6b4a0,Ear Detection in the Wild Using Faster R-CNN Deep Learning,"Cairo University, Biomedical Engineering, Cairo, Egypt" de058103b26ea4f15074392a2eee62a3aa935b80,Affective mapping of EEG during executive function tasks,"Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak, Kuala Lumpur, Malaysia 53100" dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c,Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird’s –Eye View,Knowledge e-Learning Research Group -dec7bbc3e9eeb940c47214d6ea61e14945ab6e7c,Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird’s –Eye View,"Visual Intelligence Research Group Electronics and Telecommunications Research Institute, Daejeon, Korea" -def897862020dd63498a5ade81141c65582695df,Exploiting 3D faces in biometric forensic recognition,"University of Sassari, Computer Vision Laboratory, Porto Conte Ricerche, Tramariglio, Alghero, Italy" dee460eab759c02b03e5cb6495ca73112d857e55,Multimodal concept detection in broadcast media: KavTan,"TUBITAK - UZAY, Ankara, Turkey" -de72d2563277eed2a9cee2b91b72dc3c462cf5fe,Face recognition with small and large size databases,"Escola Universitaria Politecnica de Mataro, Spain" -de4b5d00cba99d355f10eb1565b3644b4485cddd,Estimating in-plane rotation angle for face images from multi-poses,"I2R, A*STAR, Singapore" de4b5d00cba99d355f10eb1565b3644b4485cddd,Estimating in-plane rotation angle for face images from multi-poses,"School of EEE, NTU, Singapore" de623c6bdd097990077fc221f841221890e9bdd5,Collaborative representation of deep sparse filtered features for robust verification of smartphone periocular images,"Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway" -deea683731f468c7234e1089f48c4546e7003b18,Multi-Task Vehicle Detection With Region-of-Interest Voting,"Alibaba, Hangzhou, China" de4f113b82dbeb8cf3f6530777e1b543ce3286f4,LGT/VOT tracking performance evaluation of depth images,"Centre for Intelligent Systems Research Deakin University, Australia" de4f113b82dbeb8cf3f6530777e1b543ce3286f4,LGT/VOT tracking performance evaluation of depth images,"School of Electronics, Electrical and Computer Engineering University of Birmingham, UK" de11bb7e73d96ad36dee8b0f8fa827f18cd3ddb3,A survey on multi person identification and localization,The University of Texas at Arlington -dea8bb5933e5463569fcfc505b97f6de5899d73e,Emotion Recognition from EEG and Facial Expressions: a Multimodal Approach,"Mathematical Modelling Research Group, Universidad EAFIT, Colombia" dea8bb5933e5463569fcfc505b97f6de5899d73e,Emotion Recognition from EEG and Facial Expressions: a Multimodal Approach,"Universidad Nacional de San Juan, Argentina" dea8bb5933e5463569fcfc505b97f6de5899d73e,Emotion Recognition from EEG and Facial Expressions: a Multimodal Approach,"System Engineering Research Group, ARKADIUS, Universidad de Medellin, Colombia" de587631aa1357b08754b65bfee7b3176a0c0a47,Real time facial expression recognition using RealSense camera and ANN,"Computer Engineering Department, Vishwakarma Institute of Technology, Pune" -dec56c82568b1ae7ff532017d842f2ed00eba244,Is ICA significantly better than PCA for face recognition?,"Dept. of Comput., Hong Kong Polytech. Univ., China" -de10c2806f7c5dce2381435546d95435ea362e37,Visual Tracking With Convolutional Random Vector Functional Link Network,"Advanced Digital Science Center, Singapore" de4bcded33b562a8af7f601d17c3202965eb4034,Towards the quantitative evaluation of visual attention models,f -de4bcded33b562a8af7f601d17c3202965eb4034,Towards the quantitative evaluation of visual attention models,g de4bcded33b562a8af7f601d17c3202965eb4034,Towards the quantitative evaluation of visual attention models,h -de3eadd9da762010066eab138cbea5fa3089a290,VRSDNet: vehicle re-identification with a shortly and densely connected convolutional neural network,"First Research Institute of the Ministry of Public Security of People’s Republic of China, Beijing, China" -de608b8696b151405105abef1de66a2199cf1f3c,Connected Component Model for Multi-Object Tracking,"Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China" -1fbc81959c49d04e292ef4cfc68dd431105cdd83,Enhanced Deep Feature Representation for Person Search,"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China" -1fc5dad90c459d25a53d73125ea50094e28d6525,Individualised model of facial age synthesis based on constrained regression,"Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK" 1f72bead6784e66e0e0e8ea434a342eedc7f9e64,Person attribute search for large-area video surveillance,"MIT Lincoln Laboratory, 244 Wood St., Lexington, Ma. 02420" 1fe0fd340996ac94d6aed72a22ace49a34ee728e,Sparse eigenfaces analysis for recognition,"College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China" -1fcb905e4505a781fb0b375eb470f5661e38ae39,Stylized Adversarial AutoEncoder for Image Generation,"Shanghai Jiao Tong University & Alibaba Group, Shanghai, China" 1fb1f74bbea8d2b3bf5a4c2834f4774daf6398c8,License plate recognition based on temporal redundancy,"Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Brazil" 1fb1f74bbea8d2b3bf5a4c2834f4774daf6398c8,License plate recognition based on temporal redundancy,"Department of Informatics, Universidade Federal do Paraná, Brazil" -1f3ae376b22136a2fe2e96632d4383653a42e4d4,A technique for face verification across age progression with large age gap,"Computer Science & Engineering, PEC University of Technology, Chandigarh, India" -1f3ae376b22136a2fe2e96632d4383653a42e4d4,A technique for face verification across age progression with large age gap,"Computer Science & Engineering, UIET, Chandigarh, India" -1f3ae376b22136a2fe2e96632d4383653a42e4d4,A technique for face verification across age progression with large age gap,"Department of Computer Engineering, Punjabi University, Patiala, India" 1f41bf5e8b8562ac7ef0013f4d0cf1c9e1a431f9,A novel constructive algorithm for CANet,"Polytechnic School of Pernambuco, University of Pernambuco, Recife-PE, Brazil" 1ff0162ece14c2f05b925853aa1a1e8397e187d0,"Effect of colorspace transformation, the illuminance component, and color modeling on skin detection","Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA" 1f62e53a7346425fd33c98d59718807daff965eb,Multi-class AdaBoost learning of facial feature selection through Grid Computing,"School of Systems Engineering, University of Reading, Reading, United Kingdom, RG6 6AY" 1f62e53a7346425fd33c98d59718807daff965eb,Multi-class AdaBoost learning of facial feature selection through Grid Computing,"IT Service, University of Reading, Reading, United Kingdom, RG6 6AY" -1f5b9ac2a37431b59fd1cecf8fe57b92b6b6398e,Fast facial expression recognition for emotion awareness disposal,"Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Technical University of Madrid, Spain" 1f284b24d4b937e326316e2b5bfde227ea2fcdc3,Generalized Dictionaries for Multiple Instance Learning,"Google, Mountain View, USA" 1fd0871450a8f52a2419de0604f20b87c5f66e47,Illumination-Robust Optical Flow Using a Local Directional Pattern,"Grundlagen Elektro-Technnik Laboratory, Paderborn University, Paderborn, Germany" 1fd0871450a8f52a2419de0604f20b87c5f66e47,Illumination-Robust Optical Flow Using a Local Directional Pattern,"IRCV Group, Rovira i Virgili University, Reus, Spain" -1fd0871450a8f52a2419de0604f20b87c5f66e47,Illumination-Robust Optical Flow Using a Local Directional Pattern,"Autonomous University of Madrid, Madrid, Spain" -1ff79eba66d838d8c1cc90c22fab251bb7babc42,A new hybrid face recognition system,"Faculty of Engieering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia" 1f5f67d315c9dad341d39129d8f8fe7fa58e564c,Facial expressions based error detection for smart environment using deep learning,ACM Professional Specialist in Artificial Intelligence -1f55079a33023518748d66869e7c539994c61c86,Object tracking techniques and performance measures — A conceptual survey,"Department of ECE Sree Vidyanikethan Engineering College, Tirupati, India" -1f55079a33023518748d66869e7c539994c61c86,Object tracking techniques and performance measures — A conceptual survey,"Department of ECE Anurag Group of Institutions, Hyderabad, India" -1f55079a33023518748d66869e7c539994c61c86,Object tracking techniques and performance measures — A conceptual survey,"Department of ECE, NEC, Narasaraopet, India" -1f55079a33023518748d66869e7c539994c61c86,Object tracking techniques and performance measures — A conceptual survey,"Department of IT Sree Vidyanikethan Engineering College Tirupati, India" 1fef53b07c6c625545fc071c7386d41f87925675,A rule-based methodology and assessment for context-aware privacy,"Intelligent Systems Research Laboratory School of Computer Science and Electronic Engineering University of Reading, United Kingdom" 1fb980e137b2c9f8781a0d98c026e164b497ddb1,GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User,"LMU Munich, Germany" 1fb980e137b2c9f8781a0d98c026e164b497ddb1,GazeDrone: Mobile Eye-Based Interaction in Public Space Without Augmenting the User,"LMU Munich, Germany and Munich University of Applied Sciences, Germany" @@ -1082,40 +630,27 @@ de608b8696b151405105abef1de66a2199cf1f3c,Connected Component Model for Multi-Obj 1f0088d0f731ca563f01fa72678ebbd541aa86da,3D face recognition based on region ensemble and hybrid features,"Electrical (Power) Engineering Department, Mirpur University of Science and Technology, (AJK), Pakistan" 1f0088d0f731ca563f01fa72678ebbd541aa86da,3D face recognition based on region ensemble and hybrid features,"Electrical Engineering Department, University of Azad Jammu and Kashmir, Muzaffarabad (AJK), Pakistan" 1f281b87ef58c0dd244ec4743fb1f899b4948308,Class-specific Hough forests for object detection,"BIWI, ETH Zürich and MPI Informatik, Switzerland" -1f281b87ef58c0dd244ec4743fb1f899b4948308,Class-specific Hough forests for object detection,"Microsoft Research Cambridge, UK" 1f02bf412a82ad99fe99dc3cfb3adec9dd41eabb,Facial expression recognition based on image pyramid and single-branch decision tree,"Department of Electric and Electronic Engineering, Avrasya University, Trabzon, Turkey" -1fc71bc275c64ba39b57056e2174d54b1f293351,Discriminative spatial saliency for image classification,"GREYC, CNRS UMR 6072, Université de Caen" 1fc71bc275c64ba39b57056e2174d54b1f293351,Discriminative spatial saliency for image classification,"LEAR, INRIA Grenoble Rhône-Alpes" -1f35a65eab258f042edb8e1d4d5fff34f00a85bd,Finding people in archive films through tracking,"Toyota Technological Institute at Chicago, 1427 E. 60th Street, IL 60637, USA" -6c0ad77af4c0850bd01bb118e175ecc313476f27,Extended multi-spectral face recognition across two different age groups: an empirical study,"Goa University, India" -6c0ad77af4c0850bd01bb118e175ecc313476f27,Extended multi-spectral face recognition across two different age groups: an empirical study,"NTNU, Norway" 6cad808376cf5c5dc8202471c046c2cb80afdc09,A new approach for color image segmentation based on color mixture,"School of Engineering of São Carlos, USP, São Carlos, Brazil" 6cfb2876161b21e9de46ade1dadb7779fd1ea7c7,A new reconstruction method in gaze estimation with natural head movement,"Department of Medicine, University of British, Columbia, Canada" -6c40a215574f95d9dd2f5ac3523f2ffc03d1a84b,Nose detection and face extraction from 3D raw facial surface based on mesh quality assessment,"Department of Computer EngineeringKhalifa University, UAE" 6c40a215574f95d9dd2f5ac3523f2ffc03d1a84b,Nose detection and face extraction from 3D raw facial surface based on mesh quality assessment,"Department d'InformatiqueESST, Tunisia" 6ca6ade6c9acb833790b1b4e7ee8842a04c607f7,Deep Transfer Network for Unconstrained Face Verification,"Beijing Institute of Graphic Communication, Beijing" 6ca7a82ec1c51417c4f0b8eebddb53a73a3874b1,Interactive Facial Expression Reader and Extension to First Impression Improver,"Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan, +81 25 262 7499" 6ca7a82ec1c51417c4f0b8eebddb53a73a3874b1,Interactive Facial Expression Reader and Extension to First Impression Improver,"Dept. of Information Engineering, Faculty of Engineering, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan" 6ca7a82ec1c51417c4f0b8eebddb53a73a3874b1,Interactive Facial Expression Reader and Extension to First Impression Improver,"Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan" -6c45759b0a1745870dd567dcad212faa393c767c,Occlusion Handling Human Detection with Refocused Images,"National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan" -6c73ca2b877d333157c136cdd3f5e96cd8909cc7,Optimizing Multistage Discriminative Dictionaries for Blind Image Quality Assessment,"Faculty of Information Science and Engineering, Ningbo University, Ningbo, China" 6c66d92fc116a787d39ca53134d23009c96b318d,A 3D algorithm for unsupervised face identification,VisionLab - Computer Vision Laboratory 6c5682f8ea2aa384878f91a561689a544dd0fec1,Gestalt Rule Feature Points,"Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, Taiwan" 6c825dab1405d193628298adc552a4e4d17c7e69,On the guessability of binary biometric templates: A practical guessing entropy based approach,"SmartPeep, Masai, Malaysia" 6c10226a1f68997d85aa0970521a9ff9507e0caf,Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017,"Université de Sherbrooke, Sherbrooke, Canada" 6c10226a1f68997d85aa0970521a9ff9507e0caf,Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017,"DKFZ, Heidelberg, Germany" -6c10226a1f68997d85aa0970521a9ff9507e0caf,Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017,"Ulm University of Applied Sciences, Ulm, Germany" 6c10226a1f68997d85aa0970521a9ff9507e0caf,Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017,"Université de Rennes 1, Rennes, France" 6c10226a1f68997d85aa0970521a9ff9507e0caf,Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017,"Université Laval, Québec, Canada" 6cbb82293c96dc37e0147857bbf3a8916adf1e41,A Deep-Learning Approach for the Detection of Overexposure in Automotive Camera Images,"TU Braunschweig, Institute of Control Engineering, Germany" -6c36965f46bb21a36f56a1ed2741b7bc4df55f8d,Facial micro-expression recognition using discrete curvelet transform,"Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra-136119, India" -6c4ac38cb87b8ef711d49ef980edde9773a655e4,Texture Modeling Using Contourlets and Finite Mixtures of Generalized Gaussian Distributions and Applications,"Computer Science and Engineering, Universite du Quebec en Outaouais, Gatineau, Canada" -6c26744149ae08af8bc84137633495fa948b41ad,Robust periocular biometrics based on Local Phase Quantisation and Gabor transform,"Centre of Development of Advanced Computing (CDAC), Mumbai, 400049, India" 6cd5b56f4262c7e13f61a4a6f28eaa805f4e3291,Sparse representation based classification performance under different optimization forms for face recognition,"Department of Computer Science, Pacific Lutheran University, Tacoma, WA, USA" 6ce0c8ef799d1c01fb0a532d736478d9698c2a45,Real-time clothing recognition in surveillance videos,"Media Analytics Dept., NEC Laboratories America, Inc., Cupertino, CA 95014, USA" 6cb8c52bb421ce04898fa42cb997c04097ddd328,Computational Collective Intelligence. Technologies and Applications,"Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland" 6cd19453c540d0a2d806b0f80633f9cc669a14d0,The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events,"Department of Information Technology - IBCN, Ghent University - iMinds, Ghent, Belgium" -6cd19453c540d0a2d806b0f80633f9cc669a14d0,The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events,"Modeling of Systems And Internet Communication, University of Antwerp - iMinds, Antwerp, Belgium" 6cd19453c540d0a2d806b0f80633f9cc669a14d0,The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events,"Electronics and Information Systems Department, Ghent University - iMinds, Ghent, Belgium" 6cd19453c540d0a2d806b0f80633f9cc669a14d0,The crowd as a cameraman: on-stage display of crowdsourced mobile video at large-scale events,"iMinds Krook.LAB, Ghent, Belgium" 6cd0cacd022b6c9ea0d2f339574e512b862bef2c,Exploring OpenStreetMap Capability for Road Perception,"Advanced Perception Center of Aptiv (previous Delphi Corporation), Electronics & Safety, Agoura Hills, CA, 91301, USA" @@ -1127,20 +662,11 @@ d066575b48b552a38e63095bb1f7b56cbb1fbea4,The performance of corrected learning n d0b876118eb1c9d0b397d29c47de904354d95648,A novel semi-supervised fuzzy clustering method based on interactive fuzzy satisficing for dental x-ray image segmentation,"University of Information and Communication Technology, Thai Nguyen University, Quyet Thang, Thai Nguyen City, Vietnam" d0b876118eb1c9d0b397d29c47de904354d95648,A novel semi-supervised fuzzy clustering method based on interactive fuzzy satisficing for dental x-ray image segmentation,"VNU University of Science, Vietnam National University, Hanoi, Vietnam" d06faeabf5bccb8358f225e1ff5b7f6ca080f7ad,Cross-Pollination of Normalization Techniques From Speaker to Face Authentication Using Gaussian Mixture Models,"Radboud University Nijmegen, The Netherlands" -d0fbebf278b7e4f10a25e583743080a57b2b3f3a,Online multi-target tracking via depth range segmentation,"Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China" d002e8e3c803e416c894811af86371c79272ec41,Boosting “shotgun denoising” by patch normalization,"CMLA, ENS Cachan, 61 Av. du Président Wilson, 94235 Cachan CEDEX, France" -d002e8e3c803e416c894811af86371c79272ec41,Boosting “shotgun denoising” by patch normalization,"Dpt. Matemàtiques i Informàtica, UIB, Ctra. Valldemossa Km. 7.5, 07122 Palma de Mallorca, Spain" -d09a3ec68311af4ebd3cbf7ed906aadffa94a464,Pedestrian Detection by Feature Selected Self-Similarity Features,"Engineering and Technology College, Sichuan Open University, Chengdu, China" -d0fdf0f3f47d9f9d11e84961573b324c51518f34,Painting completion with generative translation models,"School of Computer Information and Engineering, Beijing Technology and Business University, Beijing, China" -d0fdf0f3f47d9f9d11e84961573b324c51518f34,Painting completion with generative translation models,"Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing, China" -d0fdf0f3f47d9f9d11e84961573b324c51518f34,Painting completion with generative translation models,"Department of Computer Science and Technology, Beijing Electronic Science and Technology Institute, Beijing, China" -d045f43bd9cbd5ad4833be011e3a33db55d1f7ce,Sparse factorial code representation using independent component analysis for face recognition,"Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, Guangzhou, China" d04fbeea1d818bd740eb38b84a907cba62986816,Constrained Clustering With Imperfect Oracles,"Department of Information Engineering, Chinese University of Hong Kong, Hong Kong" -d0096742f59b9361eb0454a69c9afb0ad6574d96,Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision,"Information and Communication Engineering, DGIST, Daegu, South Korea" d0096742f59b9361eb0454a69c9afb0ad6574d96,Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision,"Computer Science and Engineering, POSTECH, Pohang, 790-784, South Korea" d0593359627cd0744740ea50731d2b98ff6b1937,Short-term memory with read-only unit in neural image caption generator,"Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia" d089f8f6a2ab7c9535753cde8f6ba9b407518f3e,A saliency-based rate control for people detection in video,"DIEGM - University of Udine, Via Delle Scienze, 208 - 33100 - Italy" -d0d56aa432da8fb92b2d5b3b5d83c3f05e349c6c,Robust structured sparse representation via half-quadratic optimization for face recognition,"Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou, China" d0985f3f3b74c9a8c64e639aeacbb99de02a651c,Gabor texture representation method for face recognition using the angle and distance between feature points,"Department of Computer, Engineering, Sheikh Bahaei, University, Isfahan, Iran" d0985f3f3b74c9a8c64e639aeacbb99de02a651c,Gabor texture representation method for face recognition using the angle and distance between feature points,"Faculty member of Department of Computer Engineering, Sheikh Bahaei University, Isfahan, Iran" d046030f7138e5a2dbe2b3eec1b948ad8c787538,Illumination invariant face recognition in logarithm Discrete Cosine Transform domain,"Faculty of Engineering, Ain Shams University, Computer and Systems Engineering Department, Cairo, Egypt" @@ -1149,18 +675,8 @@ d040a7fb0a0c904fc4a759c39e9705e8604ddd98,Segmentation of Human Body Parts Using d040a7fb0a0c904fc4a759c39e9705e8604ddd98,Segmentation of Human Body Parts Using Deformable Triangulation,"Department of Learning and Digital Technology, Fo Guang University, Yilan, Taiwan" d040a7fb0a0c904fc4a759c39e9705e8604ddd98,Segmentation of Human Body Parts Using Deformable Triangulation,"Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taiwan" abce06a96a7c3095bfc36eed8779d89263769b85,Analyzing asymmetry biometric in the frequency domain for face recognition,"Dept. of Stat., Carnegie Mellon Univ., Pittsburgh, PA, USA" -ababbd7c7a3a66f6b180ba0e3c3fdaa8c79c08f3,Hierarchical and multi-featured fusion for effective gait recognition under variable scenarios,"School of Information, Central University of Finance and Economics (CUFE), Beijing, China" -ababbd7c7a3a66f6b180ba0e3c3fdaa8c79c08f3,Hierarchical and multi-featured fusion for effective gait recognition under variable scenarios,"College of Electronics and Information, Xi’an Polytechnic University, Xi’an, China" -ababbd7c7a3a66f6b180ba0e3c3fdaa8c79c08f3,Hierarchical and multi-featured fusion for effective gait recognition under variable scenarios,"School of Electronics and Information, Guangdong Polytechnic Normal University, Guangzhou, China" -ababbd7c7a3a66f6b180ba0e3c3fdaa8c79c08f3,Hierarchical and multi-featured fusion for effective gait recognition under variable scenarios,"Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK" -abf0e3ce602287875a2d1ddf1bb4ab76eceab977,Face recognition using generalized self organising map based on PCNN features,"Department of Computer Science & Engineering, Madhav Institute of Technology & Science, Gwalior, India" -abf0e3ce602287875a2d1ddf1bb4ab76eceab977,Face recognition using generalized self organising map based on PCNN features,"Department of Information & Communication Technology, ABV-Indian Institute of Information Technology & Management, Gwalior, India" -abf0e3ce602287875a2d1ddf1bb4ab76eceab977,Face recognition using generalized self organising map based on PCNN features,"Department of Electronics & Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, India" ab69d53372666433738063fd6f3d8a9e88a74b4c,Face recognition based on geodesic distance approximations between multivariate normal distributions,"Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil" ab69d53372666433738063fd6f3d8a9e88a74b4c,Face recognition based on geodesic distance approximations between multivariate normal distributions,"Institute of Informatics and Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil" -ab2d1f43b4458856b71462faf3bf4e3613cb9a72,Visual odometry system simulator,"Laboratory of Automated Queuing Systems and Signal Processing, V. A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia" -ab60ec2e8fc1f53cbc9c1277e758bfbcfecb4e00,Improved face recognition on video surveillance images using pose correction,"Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia" -ab703224e3d6718bc28f7b9987eb6a5e5cce3b01,Unseen head pose prediction using dense multivariate label distribution,"College of Mathematics and Information Engineering, Jiaxing University, Jiaxing, China" abf573864b8fbc0f1c491ca60b60527a3e75f0f5,A new deformable mesh model for face tracking using edge based features and novel sets of energy functions,"Electrical and Electronic Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran" ab133af7ec2726f712dd049213e6a27449d28c78,An improved sparse code representation using local matching for deterministic face authentication,"Department of Information Technology, Noorul Islam University, Kumaracoil - 629180, Kanyakumari District, Tamilnadu" ab26528c5c414156c7668592cbb04268d2aefc52,Scene understanding by labeling pixels,"National ICT Australia, Canberra" @@ -1171,17 +687,11 @@ ab12db11007c33fa71cf228caee35da8277277a1,Face Pattern Recognition Using Convolut ab60de08ffb45516cdbaa07a4628c6c23fd3c715,Evaluation of pedestrian detection fusion and localization based on the idea of car-to-X communication,"Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany" ab68837d09986c592dcab7d08ee6dfb40e02916f,Enhanced Face Preprocessing and Feature Extraction Methods Robust to Illumination Variation,"Dept. of Convergence, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Korea" ab0a1ad85ffd00df6640f0f5c3e7166a53563eac,3D architecture exploration on thermal effect of DRAM refresh,"Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan City, Taiwan" -ab84b913c338026c43e9a4a5c05e4d17c8147fd6,Null-space based facial classifier using linear regression and discriminant analysis method,"Department of Computer Science & Engineering, SSN College of Engineering, Chennai, India" abc2cae2e03c4e94523c92418b4500fe5bddbda5,Co-training of context models for real-time vehicle detection,"ENSTA ParisTech, 32 Blvd Victor, 70539 Paris Cedex 15" abb217936f3cd357ccde4896bcc5d721972549b4,Visual odometry driven online calibration for monocular LiDAR-camera systems,"School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand" -abb217936f3cd357ccde4896bcc5d721972549b4,Visual odometry driven online calibration for monocular LiDAR-camera systems,"Environment Perception, Daimler AG, Sindelfingen, Germany" -06d4f3b135ffb69c2e3ba10544ed1e7d684761bb,Convolutional gated recurrent networks for video semantic segmentation in automated driving,"Valeo Vision Systems, Ireland" -06c7b96d46cc8d78f32a11f649707d22c585ba95,Face hallucination via K-selection mean constrained sparse representation,"Department of Digital Media Technology, Huanggang Normal University, China" 06a799ad89a2a45aee685b9e892805e3e0251770,Learning Technology for Education in Cloud – The Changing Face of Education,"Staffordshire University , Staffordshire, United Kingdom" 06a799ad89a2a45aee685b9e892805e3e0251770,Learning Technology for Education in Cloud – The Changing Face of Education,"Universidad Tecnica Federico Santa Maria , Valparaiso, Chile" 06a799ad89a2a45aee685b9e892805e3e0251770,Learning Technology for Education in Cloud – The Changing Face of Education,"FernUniversität , Hagen, Germany" -06a5e1b1161a84e082f9b4be6327c5b16579b04b,A preliminary study on imbalanced syndrome differentiation of cold and heat,"Institute of Linguistics Chinese Academy of Social Sciences, Beijing, China" -06a5e1b1161a84e082f9b4be6327c5b16579b04b,A preliminary study on imbalanced syndrome differentiation of cold and heat,"Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China" 06101c79b9eb53ac1b85f8d8b556f02a80603465,Mapping Appearance Descriptors on 3D Body Models for People Re-identification,"Dipartimento di Ingegneria Enzo Ferrari-University of Modena and Reggio Emilia, Modena, Italy" 0630b153af22b949e3160612dfd913d5a5f25f98,Collaborative text categorization via exploiting sparse coefficients,"Department of Computing, Macquarie University, NSW, Australia" 0630b153af22b949e3160612dfd913d5a5f25f98,Collaborative text categorization via exploiting sparse coefficients,"Department of Computer Science, University of Sherbrooke, Sherbrooke, Canada" @@ -1193,55 +703,38 @@ abb217936f3cd357ccde4896bcc5d721972549b4,Visual odometry driven online calibrati 06abf34ed52cefe1181451700346f870c2adb0b5,Object tracking by supported particles,"Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea, Gwangju, Korea" 06a33dfb6365762c2f83f3ab975d982a27b8dbaa,Age-dependent atypicalities in body- and face-sensitive activation of the EBA and FFA in individuals with ASD,i 06a33dfb6365762c2f83f3ab975d982a27b8dbaa,Age-dependent atypicalities in body- and face-sensitive activation of the EBA and FFA in individuals with ASD,j -06a33dfb6365762c2f83f3ab975d982a27b8dbaa,Age-dependent atypicalities in body- and face-sensitive activation of the EBA and FFA in individuals with ASD,k 06a33dfb6365762c2f83f3ab975d982a27b8dbaa,Age-dependent atypicalities in body- and face-sensitive activation of the EBA and FFA in individuals with ASD,l 06a33dfb6365762c2f83f3ab975d982a27b8dbaa,Age-dependent atypicalities in body- and face-sensitive activation of the EBA and FFA in individuals with ASD,m 06a33dfb6365762c2f83f3ab975d982a27b8dbaa,Age-dependent atypicalities in body- and face-sensitive activation of the EBA and FFA in individuals with ASD,n 06a33dfb6365762c2f83f3ab975d982a27b8dbaa,Age-dependent atypicalities in body- and face-sensitive activation of the EBA and FFA in individuals with ASD,o 06060fdd2f452fb512f92b289b54fe2ae2fc455d,Moving object detection from a point cloud using photometric and depth consistencies,"Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Japan" 06060fdd2f452fb512f92b289b54fe2ae2fc455d,Moving object detection from a point cloud using photometric and depth consistencies,"TOYOTA Central Research and Development Labs, 41-1, Yokomichi, Nagakute, Aichi, Japan" -06b0a66fd062a9bc7f0d94e270e4ddf47b275c10,Compact deep learned feature-based face recognition for Visual Internet of Things,"Electronics and Telecommunications Research Institute, Daejeon, Korea" 06046fcc31cd0b8062f3ea2d568e561dc258921b,Learning extremely shared middle-level image representation for scene classification,"Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy" -0699475af70765d0810881d3536b44a3c1d745a2,WSF-RBF based mining model to identify eye-Glasses worn people from face-images pool,"Maharshi Dayanand University, Rohtak, Haryana, India" 06719154ab53d3a57041b2099167e3619f1677bc,An Embedded Robust Facial Feature Detector,"France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: sebastien.roux@orange-ftgroup.com" 06719154ab53d3a57041b2099167e3619f1677bc,An Embedded Robust Facial Feature Detector,"France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: franck.mamalet@orange-ftgroup.com" -06719154ab53d3a57041b2099167e3619f1677bc,An Embedded Robust Facial Feature Detector,"France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: christophe.garcia@orange-ftgroup.com" 06719154ab53d3a57041b2099167e3619f1677bc,An Embedded Robust Facial Feature Detector,"France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: stefan.duffner@orange-ftgroup.com" -0667bd18e0537359bc44a8f2ad94074b2e3a346e,Fast Pixelwise Adaptive Visual Tracking of Non-Rigid Objects,"Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France" 06d028bd761ad6f29e9f1835d6686d9880706438,Encoding of facial images into illumination-invariant spike trains,"Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia" 06d028bd761ad6f29e9f1835d6686d9880706438,Encoding of facial images into illumination-invariant spike trains,"Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia" 06856633ce8dab74f6631c3f132d985acf2be355,Pedestrian detection using shape context and PHOG,"Dept. of Computer Science, Suez Canal University, Ismailia, Egypt" 06856633ce8dab74f6631c3f132d985acf2be355,Pedestrian detection using shape context and PHOG,"Dept. of Elec. Eng., Port Said University, Egypt" 068c497d2ebcf705c85292f1fb9717a2678f6937,Robust Estimation in the Presence of Spatially Coherent Outliers," K.U.Leuven-ESAT-Psi, Belgium" -06959f9cf3226179fa1b05efade843b7844fb2bc,Relevant linear feature extraction using side-information and unlabeled data,"Dept. of Autom., Tsinghua Univ., Beijing, China" 069e61934f8104b76b31c1f18d2e9a4f5ec50de4,SuperBE: computationally light background estimation with superpixels,"Embedded Systems Research Group, Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand" 0642189222e584e67979a27a4e178ac7175d73d3,A hybrid model combining neural networks and decision tree for comprehension detection.,"School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK" 0642189222e584e67979a27a4e178ac7175d73d3,A hybrid model combining neural networks and decision tree for comprehension detection.,Silent Talker Ltd -06fc643a48464fd8280d11c1189f49afacbd43a4,Semantic mapping using object-class segmentation of RGB-D images,"Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany" 06fb92e110d077c27d401d2f9483964cd0615284,Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions,"Microsoft Live Labs Research, Redmond" 06fb92e110d077c27d401d2f9483964cd0615284,Face Relighting from a Single Image under Arbitrary Unknown Lighting Conditions,"IBM T.J. Watson Research Center, Hawthorne" -060f67c8a0de8fee9c1732b63ab40627993f93d0,Computer Vision and Graphics,"Polish-Japanese Institute of Information Technology, Warsaw, Poland" 060f67c8a0de8fee9c1732b63ab40627993f93d0,Computer Vision and Graphics,"Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences (SGGW), Warsaw, Poland" 060f67c8a0de8fee9c1732b63ab40627993f93d0,Computer Vision and Graphics,"Polish-Japanese Institute of Information Technology, Warszawa, Poland" bd63d56bebbc5d7babc7c47cedcb11b8e3ad199c,2D to 3D space transformation for facial animation based on marker data,"Magister Teknik Informatika, Universitas Atma Jaya Yogyakarta, Sleman, Indonesia" bd63d56bebbc5d7babc7c47cedcb11b8e3ad199c,2D to 3D space transformation for facial animation based on marker data,"Department of Animation, Indonesian Institute of The Arts, Yogyakarta, Indonesia" -bdd85b0db321ed22a3b2dc77154dac8b3ec3ad4d,Webcam-Based Eye Movement Analysis Using CNN,"Department of Electronic Technology, China Maritime Police Academy, Ningbo, China" -bdd85b0db321ed22a3b2dc77154dac8b3ec3ad4d,Webcam-Based Eye Movement Analysis Using CNN,"Nankai University, Tianjin, China" bd2043d46ebd3b788a1ada7ee32627e88b79e75e,Content-Based Image (object) Retrieval with Rotational Invariant Bag-of-Visual Words representation,"Department of Electrical and Electronics Engineering, University of Jaffna, Sri Lanka" bddf7da5a21a5d1915cc9ee784223adadbe0aec4,Question action relevance and editing for visual question answering,"Dipartimento di Informatica, Università di Salerno, Fisciano, Italy" bd35ba85e58fb2a8ae92e87ff9ad28e5e4b35214,Visual perception for robot based maintenance automation,"Institute of Control Engineering of Tool Machines and Manufacturing Units (ISW), University Stuttgart, 70174, Germany" -bd477abdb4146aa4501b87d0aafaaec5d50e0fe3,Pedestrian detection in infrared images using Aggregated Channel Features,"Computer Science Department, Technical University of Cluj-Napoca, Romania" -bddc822cf20b31d8f714925bec192c39294184f7,Facial expression recognition based on local binary patterns,"Northwestern Polytechnic University, Xi’an, China" -bd5fd0b8dae02bec7bbb286f804b4a7b0c4457f7,Biometric association using transfer subspace learning,"Department of Electronics and Telecommunication, Maharashtra Institute of Technology, Pune, India" -bd5fd0b8dae02bec7bbb286f804b4a7b0c4457f7,Biometric association using transfer subspace learning,"Department of Electronics and Telecommunication, College of Engineering, Pune, India" bd14bfd765b15425c76f6fd4e83968f9f1097202,Compact image representation by binary component analysis,"Kitware Inc., Clifton Park, NY, USA 12065" -bd88ad1356a85bd70889ed1deeb27dcb2722fde1,Recognizing intensity degrees from expressions in 3D facial meshes,"Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, 28933 Móstoles (Madrid), Spain" bd88ad1356a85bd70889ed1deeb27dcb2722fde1,Recognizing intensity degrees from expressions in 3D facial meshes,"Instituto de Computação, Universidade Federal Fluminense, São Domingos, 24210-240 Niterói-RJ, Brazil" -bd4e3d9303fca21cf51c88ae1ade73f852beb9f3,Semantic binary coding for visual recognition via joint concept-attribute modelling,"Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China" bd41ce7362259dea758d84c219eeb0dd2f40337c,"Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility","Yahoo Labs, San Francisco, USA" bd41ce7362259dea758d84c219eeb0dd2f40337c,"Multimedia COMMONS Workshop 2016 (MMCommons 2016): Datasets, Evaluation, and Reproducibility","International Computer Science Institute, Berkeley, USA" -bdab45dfbd4e21b707dbf2503147d1eb99d183da,EmoStory: A Game-based System Supporting Children's Emotional Development,"Zhejiang University of Media and Communications, Hangzhou, Zhejiang, China" bd833fc0989c4eb3ffc88713bdfc8d7480132fc4,Deep Learning for Real-Time Robust Facial Expression Analysis,"P.G Demidov Yaroslavl State University, Artificial Intelligence Center, Yaroslavl, Russian Federation" bd833fc0989c4eb3ffc88713bdfc8d7480132fc4,Deep Learning for Real-Time Robust Facial Expression Analysis,"P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation" bdac40e2cd172c4706d98b78cccc068090b3b2c9,Emotional Biosensing: Exploring Critical Alternatives,"University of California, Berkeley, Berkeley, CA, USA" @@ -1249,52 +742,22 @@ bdac40e2cd172c4706d98b78cccc068090b3b2c9,Emotional Biosensing: Exploring Critica bded465d7098f4e3c614ff02b3beec83b439413d,Distribution Matching with the Bhattacharyya Similarity: A Bound Optimization Framework,"GE Healthcare, London, ON, Canada" bd5dceecf4a68575057e9032e346d3190134575d,Locality-Regularized Linear Regression for face recognition,National ICT Australia bd3d2f48a8937a1498296dbaf6984f37f9710e83,The study and implementation of real-time face recognition and tracking system,"Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung, University, Tainan, Taiwan, R.O.C" -bd53d3249cae4606e06999ee62f53bba6c4494d9,A deep convolutional network for medical image super-resolution,"School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China" -bd0000fc37cecf32798aaae2c9571b010bbb52f6,Multi-stage feature learning based object recognition and 3D pose estimation with kinect,"Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China" -bd0000fc37cecf32798aaae2c9571b010bbb52f6,Multi-stage feature learning based object recognition and 3D pose estimation with kinect,"Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China" b2ea00005c5c8a900ef64fb625b7e7b9f766719e,Estimating Collective Attention toward a Public Display,"Johannes Kepler University, Linz, Austria" -b2ea00005c5c8a900ef64fb625b7e7b9f766719e,Estimating Collective Attention toward a Public Display,"Ars Electronica Futurelab, Linz, Austria" -b2ea00005c5c8a900ef64fb625b7e7b9f766719e,Estimating Collective Attention toward a Public Display,"Siemens Corporate Technology, Munich, Germany" -b2ff5762f7b68ca9d947a374cf3d87e85fc7e752,Manifold based fisher method for semi-supervised feature selection,"Institute of Intelligent System and Decision, Wenzhou University, China, 325035" -b246d41b53db2243b4d7c3b811a92000fda1a69b,Simultaneous Dual-Views Reconstruction with Adaptive Dictionary and Low-Rank Representation,"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, China" b246d41b53db2243b4d7c3b811a92000fda1a69b,Simultaneous Dual-Views Reconstruction with Adaptive Dictionary and Low-Rank Representation,"Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong" -b25d312015b7130c0e4ae78d84970cc3956dbe42,Pedestrian detection based on Visconti2 7502,"Enjoyor Co., Ltd, Hangzhou, China" -b2de9cd4b124c36688cf2393341ed6b805120388,Fuzzy Linear Regression Discriminant Projection for Face Recognition,"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China" -b2de9cd4b124c36688cf2393341ed6b805120388,Fuzzy Linear Regression Discriminant Projection for Face Recognition,"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China" -b2de9cd4b124c36688cf2393341ed6b805120388,Fuzzy Linear Regression Discriminant Projection for Face Recognition,"School of Technology, Nanjing Audit University, Nanjing, China" -b2cbbaf194abaeea3a4e1c6993dcc597f119eb57,Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning,"Chinese University of Hong Kong, Hong Kong, China" -b2cbbaf194abaeea3a4e1c6993dcc597f119eb57,Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning,"ZTE Corporation, Shenzhen, China" -b2cbbaf194abaeea3a4e1c6993dcc597f119eb57,Image-to-Video Person Re-Identification With Temporally Memorized Similarity Learning,"Huizhou University, Huizhou, China" b214e3daacc79ebfcfe242c4962c9f8f525a860d,Analyzing and Predicting Spatial Crime Distribution Using Crowdsourced and Open Data,"Department of Informatics 8 Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece" b2bbd23cda05b17c0311325227cf7dfa1ef995aa,Necessary and sufficient conditions for sketched subspace clustering,"University of Michigan-Ann Arbor, United States" -b22e36568321a27ca8a2a09e9a6a3fa6cb89507e,Neural ranking for automatic image annotation,"Zhejiang Future Technology Institute, Jiaxing, China" -b22e36568321a27ca8a2a09e9a6a3fa6cb89507e,Neural ranking for automatic image annotation,"Science and Technology on Communication Information Security Control Laboratory, Jiangnan Electronic Communication Institute, Jiaxing, China" -b259c82853a563c1f7725d37aa74cc4a6b6d5e3c,Hybrid method of iris detection based on face localization,Universiti Tunku Abdul Rahman -b259c82853a563c1f7725d37aa74cc4a6b6d5e3c,Hybrid method of iris detection based on face localization,"UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia" -b2dc7244fbfac36d5df5c2c74de9c170aa7c8f1e,Covert Photo Classification by Fusing Image Features and Visual Attributes,"Department of Physics and Electronics, Beijing University of Chemical Technology, Beijing, China" -b2e4c58e5b7cd5db446a76551e9c37b650d5c2d7,Recognizing visual composite in real images,"School of Computer Science, Beijing Institute of Technology, China" b245580bd7bbdd8f96fd079fcfa23e05e731a0df,Clothes detection and classification using convolutional neural networks,"CTA, Gdańsk, Poland" -b20840700d490364aa161536d014c6a13604502f,On-Road Multivehicle Tracking Using Deformable Object Model and Particle Filter With Improved Likelihood Estimation,"Toyota Technological Institute, Nagoya, Japan" b20840700d490364aa161536d014c6a13604502f,On-Road Multivehicle Tracking Using Deformable Object Model and Particle Filter With Improved Likelihood Estimation,"AISIN AW Co., Ltd., Aichi, Japan" -b20840700d490364aa161536d014c6a13604502f,On-Road Multivehicle Tracking Using Deformable Object Model and Particle Filter With Improved Likelihood Estimation,"Toyota Technological Institute at Chicago, Chicago, IL, USA" b2749caec0094e186d3ee850151c899b8508f47a,AVIUE — Artificial vision to improve the user experience,"SINERCO, Rendueles Llanos 8, 33205 Gijón, Spain" b2749caec0094e186d3ee850151c899b8508f47a,AVIUE — Artificial vision to improve the user experience,"Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, 33204 Gijón, Spain" -0165410c4878ab90e6e82d59e6416fa8e0d40518,Comparative analysis of 3D face recognition using 2D-PCA and 2D-LDA approaches,"Electronics and Communication Dept., Chhotubhai Gopalbhai Patel Institute of Technology, Surat, India" -0165410c4878ab90e6e82d59e6416fa8e0d40518,Comparative analysis of 3D face recognition using 2D-PCA and 2D-LDA approaches,"Electronics and Communication Dept., Sarvajanik College of Engineering and Technology, Surat, India" 0197f278e2dedd67ec5067f47037b8cdd3ae8509,Deep Multimodal Learning: A Survey on Recent Advances and Trends,"School of Engineering, University of Guelph, Guelph, N1G2W1 Ontario, Canada" -0197f278e2dedd67ec5067f47037b8cdd3ae8509,Deep Multimodal Learning: A Survey on Recent Advances and Trends,"University of Guelph, Guelph, Ontario, Canada" -01e63d0a21fad7a29301749e9eafed826101b636,Robust face recognition by fusion local singular value feature and deformable model,"School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China" -01e63d0a21fad7a29301749e9eafed826101b636,Robust face recognition by fusion local singular value feature and deformable model,"National Engineering Research Center for E-Learning, HuaZhong Normal University, Wuhan 430079, China" 01100c14d0a06376dbb0fae6fe7995f7b3aed8b6,Active learning for structured probabilistic models with histogram approximation,"Virginia Tech, USA" 01100c14d0a06376dbb0fae6fe7995f7b3aed8b6,Active learning for structured probabilistic models with histogram approximation,"CMU, USA" 01e214009e6c9dc7ee566fde4f089c5ddb739442,Learning and Inferring “Dark Matter” and Predicting Human Intents and Trajectories in Videos,"Los Angeles, CA" 01e214009e6c9dc7ee566fde4f089c5ddb739442,Learning and Inferring “Dark Matter” and Predicting Human Intents and Trajectories in Videos,OR 013305c13cfabaea82c218b841dbe71e108d2b97,Incremental Clustering-Based Facial Feature Tracking Using Bayesian ART,"Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia" 015c231d25cfcb4b0126e2b4e17659630d920ee5,Camera based pedestrian detection for railway driver support systems,"Fen Bilimleri Enstitüsü, Dokuz Eylül Üniversitesi İzmir, TÜRKİYE" -015c231d25cfcb4b0126e2b4e17659630d920ee5,Camera based pedestrian detection for railway driver support systems,"Elektrik ve Elektronik Müh. Böl., Dokuz Eylül Üniversitesi İzmir, TÜRKİYE" 015c231d25cfcb4b0126e2b4e17659630d920ee5,Camera based pedestrian detection for railway driver support systems,"Kentkart İzmir, TÜRKİYE" -01c948d2b73abe8be1ac128a6439c1081ebca95a,A hybrid biometric identification framework for high security applications,"Key Laboratory of Information Security and Intelligent Control of Shandong Province, Shandong Youth University of Political Science, Jinan, China" -017e64d98005d7acc117ef916fdb1bd0f4089ebd,Attribute-Aware Attention Model for Fine-grained Representation Learning,"Peking University & Alibaba Group, Beijing, China" 01122cf389ad64c53396fc20f347f218cbfd96c9,A Simple High Accuracy Approach for Face Recognition,"Computer Science Department, Univerisy of Northern British Columbia, Prince George, BC, Canada V2N 4Z9, E-mail: lchen@ieee.org" 01122cf389ad64c53396fc20f347f218cbfd96c9,A Simple High Accuracy Approach for Face Recognition,"SunFlare Company, Shinjuku Hirose Bldg, Yotsuya 4-7, Shinjuku-ku, Tokyo, Japan 160-0004, Email: tokuda_n@sunflare.co.jp" 01f6ad4e1dc183a4e6ed7932e2146b37ae71fa09,"On the importance of skin color for ""other-race"" effect","Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA" @@ -1302,39 +765,22 @@ b2749caec0094e186d3ee850151c899b8508f47a,AVIUE — Artificial vision to improve 013d5325e1225456de011bee0f45c5bfec872e9d,ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition,"Computer Vision Center (UAB), Spain" 013d5325e1225456de011bee0f45c5bfec872e9d,ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition,"Universitat de Barcelona, Spain" 013d5325e1225456de011bee0f45c5bfec872e9d,ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition,"INAOE, Mexico" -013d5325e1225456de011bee0f45c5bfec872e9d,ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition,"Chalearn, Berkeley, California, USA" -013d5325e1225456de011bee0f45c5bfec872e9d,ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition,"Universitat de Barcelona - CVC, Spain" 0185bbb0f45bea11210689543fec253e87abde82,Neighborhood repulsed metric learning for kinship verification,"Captial Normal University, Beijing" 0133e8ba2d7e51c363c954f455ea7c4bae2be410,On nonmetric similarity search problems in complex domains,"Charles University in Prague, Czech Republic" 0133e8ba2d7e51c363c954f455ea7c4bae2be410,On nonmetric similarity search problems in complex domains,"University of Chile, Chile" 01d2cf5398c2b3e0f4fc8e8318a4492c95a0b242,Approximate Nearest Subspace Search,"The Technion–Israel Institute of Technology, Haifa" 01e460b6cf467f774844d92f1d359d0d77e044fe,A constructive genetic algorithm for LBP in face recognition,ACL Laboratory at Sharif University of Technology -018eaad53804a88d894a8370a94bb6db31a30ed4,ANN based human facial expression recognition in color images,"Dept. of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India" -018eaad53804a88d894a8370a94bb6db31a30ed4,ANN based human facial expression recognition in color images,"Dept of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India" 0126f1566a5a9ba051137afb6c1fe28f93584def,Robust Biometric Score Fusion by Naive Likelihood Ratio via Receiver Operating Characteristics,"Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands" -01c0e86de95062b64bc56216d8bb769cc896b223,Ear recognition based on 3D keypoint matching,"School of Information Engineering, University of Science and Technology Beijing, Beijing, China" 012eb31e668ea9f87e39a0bc3ad467d31843568b,Ethnicity- and Gender-based Subject Retrieval Using 3-D Face-Recognition Techniques,"Computer Graphics Laboratory, Department of Informatics & Telecommunications, University of Athens, Athens, Greece" -01df75d2020931ad30f827653cdde7fba06dda5f,"Joint people, event, and location recognition in personal photo collections using cross-domain context","Computer Science and Artificial Intelligence Laboratory, MIT,  " -01df75d2020931ad30f827653cdde7fba06dda5f,"Joint people, event, and location recognition in personal photo collections using cross-domain context","Nokia Research Center Hollywood,  " -c5b623805ad8a2ef49ccb6e9b08d394c83061946,A hybrid [ICP and GA] image registration algorithm for depth images,"SENSE VIT University Vellore, India" -c5794039b20e38e60bf613239706517f538137c3,Learning speaker recognition models through human-robot interaction,"U.S. Naval Research Laboratory, Washington, DC 20375, USA" c5794039b20e38e60bf613239706517f538137c3,Learning speaker recognition models through human-robot interaction,"U.S. Naval Research Laboratory, Washington DC, USA" c59104e304297bf732cdb062efcde52fb52a0d53,Mastering Occlusions by Using Intelligent Facial Frameworks Based on the Propagation of Movement,"Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France" c59104e304297bf732cdb062efcde52fb52a0d53,Mastering Occlusions by Using Intelligent Facial Frameworks Based on the Propagation of Movement,"IMT Lille Douai, Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France" c59104e304297bf732cdb062efcde52fb52a0d53,Mastering Occlusions by Using Intelligent Facial Frameworks Based on the Propagation of Movement,"ISEN Lille, Yncrea Hauts-de-France, France" -c59b13adfb853c7a6355f2538176f8279604ab07,An Information Bottleneck Approach to Optimize the Dictionary of Visual Data,"Visual Learning and Intelligence Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India" c54fd2ea5fe45c1377a45c396fd68d3bc00a699e,Adaptive face identification for small-scale social dynamic environment,"Chair of Cybernetics and Robotics, Electronics Faculty, Wroclaw University of Technology" c599e49afcfc0aa4910cec58b5fc1198153514bc,A geometrical-model-based face recognition,"Deptartment of CSIE, Chung-Hua University, Hsinchu, Taiwan" c56857cf866603e44ca7a10c122a79c10c5ad4cb,Detection of pedestrians at far distance,"Sorbonne Universités, Université de Technologie de Compiègne, CNRS, Heudiasyc Laboratory, France" -c540439a8e9280264f314a89f8de2672ebe06bdf,CPGL: A classification method combining PCA and the Group Lasso method,"Department of Computer Science and Engineering, Chinese University of Hong Kong, China" -c54e00aadcdc8c4dcf556dbe4d30ff3952df94f5,Multi-Modal Knowledge Representation Learning via Webly-Supervised Relationships Mining,"Anhui University & Chinese Academy of Sciences, Hefei, China" -c54e00aadcdc8c4dcf556dbe4d30ff3952df94f5,Multi-Modal Knowledge Representation Learning via Webly-Supervised Relationships Mining,"Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China" -c5482c2080ed780094091b9535865c4c4e5a2984,An improved deep feature learning method for person re-identification,"School of Educational Information and Technology, Central China Normal University, Wuhan, China" -c5c53d42e551f3c8f6ca2c13335af80a882009fa,Group Collaborative Representation for Image Set Classification,"College of Information Science and Technology, Agricultural University of Hebei, Baoding, China" -c5c53d42e551f3c8f6ca2c13335af80a882009fa,Group Collaborative Representation for Image Set Classification,"International Computer Science Institute, University of California at Berkeley, Berkeley, USA" c5c53d42e551f3c8f6ca2c13335af80a882009fa,Group Collaborative Representation for Image Set Classification,"Department of Statistics, University of California at Berkeley, Berkeley, USA" c5543534fa4596d98e564ab9f792e8d97bfedb7a,Embedded vision system for pedestrian detection based on HOG+SVM and use of motion information implemented in Zynq heterogeneous device,"AGH University of Science and Technology Krakow, Poland" -c570f70459af243af9ca73709646239d82d07655,Cumulative attributes for pain intensity estimation,"University of Nottingham at Ningbo, China" c5613e627bf0c34a15c702fb42e8c3b1e0a63381,Vision-based autonomous detection of lane and pedestrians,"Dept. of Electronic Engineering, Daegu University, Gyeongsan-City, 38453, South Korea" c5613e627bf0c34a15c702fb42e8c3b1e0a63381,Vision-based autonomous detection of lane and pedestrians,"Dept. of Computer & Communication Engineering, Daegu University, Gyeongsan-City, 38453, South Korea" c5595be9cc9dcd14dc4369d3f6089a83cfcdc968,Texture-based rotation-invariant Histograms of Oriented Gradients,"Information Technology Department, Cairo University, 5 Ahmed Zewal St., Orman, Giza, Egypt" @@ -1342,24 +788,13 @@ c58ece1a3fa23608f022e424ec5a93cddda31308,Extraction of Visual Facial Features fo c58ece1a3fa23608f022e424ec5a93cddda31308,Extraction of Visual Facial Features for Health Management,"Department of Information Management, College of Management, National United University, Miaoli, Taiwan" c58ece1a3fa23608f022e424ec5a93cddda31308,Extraction of Visual Facial Features for Health Management,"Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan" c57d84d3af11ccd02c0186b4f66d312576cea696,Detecting driver inattention by rough iconic classification,"Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy" -c5973aca863d73673e78d1310e8b21b4ea5aca00,Deep Learning Based Identity Verification in Renaissance Portraits,"University of California, Riverside, CA-92521, USA" c5d1cf71172bc4df3ef0ccc445e4e7e0d6691b28,Efficient contour generation on GPU for multivalued high resolution images,"Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand" c5a72b85b7a8a6413ab59d44e074dadd12b2dbad,Adaptive Hypergraph Learning and its Application in Image Classification,"Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia" -c5f02a3aadcaaf0dfb11788cdfba037fbcab5929,Constrained Local Enhancement of Semantic Features by Content-Based Sparsity,"CEA LIST, Gif-sur-Yvette, France" c592b16d04b27ad9a7d676f28a6a2b0649ceeb94,Computer vision for human stem cell derived cardiomyocyte classification: The induced pluripotent vs embryonic stem cell case study,"DEIS, University of Bologna, Cesena, Italy" -c592b16d04b27ad9a7d676f28a6a2b0649ceeb94,Computer vision for human stem cell derived cardiomyocyte classification: The induced pluripotent vs embryonic stem cell case study,"DEI, University of Padua, Padua, Italy" c51152debb1678a069d86d1e72e7b070216caaa0,Multimedia multimodal methodologies,"Naresuan University, Thailand" c5c70776590652dc0ce5f0450f15a5072b4e6971,High-Precision Depth Estimation with the 3D LiDAR and Stereo Fusion,"School of Electrical and Electronic Engineering’ Yonsei University, Seoul, 03722, South Korea" -c580b0a8dc655a8831ddbb7954bb929b1f236ebc,Looking deeper and transferring attention for image captioning,"Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China" c52cebeb90539ef424c35ea37ab004ca4bf09a9f,EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection,"Department of Computer Science, CUNY Graduate Center, New York, NY" c52cebeb90539ef424c35ea37ab004ca4bf09a9f,EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection,"Department of Computer Science, Thomas J. Watson School of Engineering and Applied Science, SUNY Binghamton University, Binghamton, NY" -c5fff7adc5084d69390918daf09e832ec191144b,Deep learning application based on embedded GPU,"School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China" -c5fff7adc5084d69390918daf09e832ec191144b,Deep learning application based on embedded GPU,"Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350108, China" -c5765590c294146a8e3c9987d394c0990ab6a35b,What are good parts for hair shape modeling?,"Hewlett-Packard Labs, Palo Alto, CA, USA" -c5773cd1b7650af3096a807a14a3199de9341aa7,Face image resolution enhancement based on weighted fusion of wavelet decomposition,"Norwegian Biometric Laboratory, Gj⊘vik University College, Norway" -c5ed62f2b57e03d0a2e0cf13772b216ffad30c19,Robustness of DR-LDP over PCANet for face analysis,"School of Information Technology and Engineering, VIT University, Vellore, India" -c5ed62f2b57e03d0a2e0cf13772b216ffad30c19,Robustness of DR-LDP over PCANet for face analysis,"School of Computing Science and Engineering, VIT University, Vellore, India" -c5c7c5241023edba35d864820e5c900c78605c1c,iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning,"UNC Charlotte, Charlotte, NC, USA" c5c7c5241023edba35d864820e5c900c78605c1c,iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning,"Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA" c5868f6552e75fa747f9f70539d1b7736a5b076f,Generation of a Precise and Efficient Lane-Level Road Map for Intelligent Vehicle Systems,"LG Electronics, Inc., South Korea" c5868f6552e75fa747f9f70539d1b7736a5b076f,Generation of a Precise and Efficient Lane-Level Road Map for Intelligent Vehicle Systems,"Intelligent Vehicle IT Research Center at Seoul National University, Seoul, South Korea" @@ -1367,51 +802,32 @@ c5868f6552e75fa747f9f70539d1b7736a5b076f,Generation of a Precise and Efficient L 91eb155bba11c8f0e7e164c30c4e097d00a9df51,People-background segmentation with unequal error cost,Queen Mary University of London (United Kingdom) 919d08e9645404c60b88f5f5e8511e363ccdf922,"A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression","School of Computer Science, Univerisiti Sains Malaysia, Gelugor, Malaysia" 919d08e9645404c60b88f5f5e8511e363ccdf922,"A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression","Department of Computer Science, Faculty of Education-Shabwa, University of Aden, Aden, Yemen" -919d08e9645404c60b88f5f5e8511e363ccdf922,"A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression","Grupo Technología del Habla, E.T.S.I. Telecomunicación (ETSIT) Universidad Politécnica de Madrid (UPM), Madrid, Spain" 9188bf095e701e8dcd17205441048b9c884ff309,The impact of ARTMAP to appearance-based face verification,"Otto-von-Guericke University of Magdeburg, Magdeburg, Germany" 91e17338a12b5e570907e816bff296b13177971e,Towards open-set face recognition using hashing functions,"Smart Surveillance Interest Group, Department of Computer Science, Universidade Federal de Minas Gerais, Minas Gerais, Brazil" -91bda4b5ea44084f932523a12ed784ead126950f,Facial Action Units intensity estimation by the fusion of features with multi-kernel Support Vector Machine,"LaBRI, University of Bordeaux, UMR 5800, F-33400 Talence, France" 91bda4b5ea44084f932523a12ed784ead126950f,Facial Action Units intensity estimation by the fusion of features with multi-kernel Support Vector Machine,"LaBRI, CNRS, UMR 5800, F-33400 Talence, France" 91ecd2e705cf27abaf38e5c1c25a19ca01c16124,Digital library creation based on wavelet coefficients for video stream indexing and retrieving,"Computers and Systems Dept., Electronic Research Institute., Cairo, Egypt" 91ecd2e705cf27abaf38e5c1c25a19ca01c16124,Digital library creation based on wavelet coefficients for video stream indexing and retrieving,"Math Dept, Faculty of Science, Helwan University, Cairo, Egypt" 919717628a5ea1bb258489a0f5bae11d24da5787,Generating Descriptive Visual Words and Visual Phrases for Large-Scale Image Applications,"Department of Computer Science, University of Texas, San Antonio, TX, USA" -919717628a5ea1bb258489a0f5bae11d24da5787,Generating Descriptive Visual Words and Visual Phrases for Large-Scale Image Applications,"IBM Research T. J. Watson Center, U.S.A" 919717628a5ea1bb258489a0f5bae11d24da5787,Generating Descriptive Visual Words and Visual Phrases for Large-Scale Image Applications,"Graduate University of Chinese Academy of Sciences, Beijing, Chine" -91254b9dd1b7ab852bf6a6c346469cdf04cb0045,Distributed Object Detection With Linear SVMs,"Nokia Research Center, Beijing, China" 91242c982b6c69a8f3d8307bcbdcaab0cb2680b7,Face recognition using a permutation coding neural classifier,"FRAV, University Rey Juan Carlos, Móstoles, Spain" 91242c982b6c69a8f3d8307bcbdcaab0cb2680b7,Face recognition using a permutation coding neural classifier,"Escuela de Ingeniería Informática, Universidad Francisco de Vitoria, Madrid, Spain" 9199c2b8cdad80735651a6a8bb9115c83acae650,Deep partial person re-identification via attention model,Korea Advanced Institute of Science and Technology School of Electrical Engineering -91f5ee7eb4d67d5b40ac8e8ff8145d7eabe35fb6,Face recognition based on separable lattice 2-D HMM with state duration modeling,"Nagoya Institute of Technology, Japan" 915c5f261f15de60c934d64b4b15fdfaea7b4a91,Hetero-Manifold Regularisation for Cross-Modal Hashing,"Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom" 915c5f261f15de60c934d64b4b15fdfaea7b4a91,Hetero-Manifold Regularisation for Cross-Modal Hashing,"Department of Mathematics and Computer Science, Key Laboratory of IOT Application Technology of Universities in Yunnan Province, Kunming, Yunnan, P. R. China" -915ff2bedfa0b73eded2e2e08b17f861c0e82a58,Automated facial expression recognition app development on smart phones using cloud computing,"Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, USA" 91fe49e7d80aca437f1d951ce58e87f7353c81ff,Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis,"University of Bern, Bern, Switzerland" 91fe49e7d80aca437f1d951ce58e87f7353c81ff,Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis,"Sunnybrook Health Science Centre, Toronto, Canada" -91fe49e7d80aca437f1d951ce58e87f7353c81ff,Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis,"German Cancer Research Center, Heidelberg, Germany" 91fe49e7d80aca437f1d951ce58e87f7353c81ff,Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis,"Ecole de Technologie Superieure, Montreal, Canada" 91fe49e7d80aca437f1d951ce58e87f7353c81ff,Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis,"Technical University of München, Garching, Germany" -91fe49e7d80aca437f1d951ce58e87f7353c81ff,Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis,"Technical University of Munich, Garching, Germany" -91fe49e7d80aca437f1d951ce58e87f7353c81ff,Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis,"École de Technologie Supérieure, Montréal, Canada" 91fe49e7d80aca437f1d951ce58e87f7353c81ff,Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis,"Universite de Rennes 1, Rennes, France" 91e102d67d36d9b013933d14d81f9950b718d39e,Bridge motion to collision alarming using driving video,"Dept. of Computer Science, Indiana University Purdue University Indianapolis, USA" 91836a9d42edec708826d9bef97e4eafe2f9afdd,Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos,"Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK" -91836a9d42edec708826d9bef97e4eafe2f9afdd,Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos,"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China" -91836a9d42edec708826d9bef97e4eafe2f9afdd,Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos,"The Guangzhou Key Laboratory of Digital Content Processing and Security Technologies, Guangzhou, China" -91836a9d42edec708826d9bef97e4eafe2f9afdd,Cognitive Fusion of Thermal and Visible Imagery for Effective Detection and Tracking of Pedestrians in Videos,"School of Geosciences, China University of Petroleum, Qingdao, China" -914382fdda66162bb8621703bb83d8d69b261e86,Low-rank and sparse matrix decomposition via the truncated nuclear norm and a sparse regularizer,"College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China" -91f1442d3a3e608562af6d1aefe2a7119a930614,Tiny head pose classification by bodily cues,University of Verona -91f1442d3a3e608562af6d1aefe2a7119a930614,Tiny head pose classification by bodily cues,Istituto Italiano di Tecnologia 91f1442d3a3e608562af6d1aefe2a7119a930614,Tiny head pose classification by bodily cues,Corporate Innovation OSRAM GmbH 91e98c4a2164e1426724a9b0dbf780deec6218a2,Structure from motion using a hybrid stereo-vision system,"Université de Bourgogne, Le2i UMR 5158 CNRS, 12 rue de la fonderie, 71200 Le Creusot, France" -9125903bf7aa68920fdca8296f703b9013a877ed,Deep spatial pyramid for person re-identification,"Disney Research, Pittsburgh, PA, USA, 15213" -9170443fb0e6a343bdcb68b3f49ae8e3abadfb48,Recipe recognition with large multimodal food dataset,"Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, France" 9170443fb0e6a343bdcb68b3f49ae8e3abadfb48,Recipe recognition with large multimodal food dataset,"Universités Nice Sophia Antipolis, UMR 7271, I3S, F-06900, France" 91d2c018cfc7dd5a16693fba7c15a22780df9763,A hardware-implemented truly random key generator for secure biometric authentication systems,"TÜBİTAK-National Research Institute of Electronics and Cryptology, Gebze, Kocaeli, Turkiye" 91d2c018cfc7dd5a16693fba7c15a22780df9763,A hardware-implemented truly random key generator for secure biometric authentication systems,"Dept. of Electronics Engineering, Erciyes University, Kayseri, Turkiye" -913e85383c8bcdb53a55be8e4ef50814b3193417,Covert photo classification by deep convolutional neural networks,"Department of Chemical Equipment and Control Engineering, China University of Petroleum, Qingdao, China" 913e85383c8bcdb53a55be8e4ef50814b3193417,Covert photo classification by deep convolutional neural networks,"Air Force Research Lab, Rome, USA" 91d94e1b92208b3cb5b0f4a1e48b79fb5851c381,Gaze-Wasserstein: a quantitative screening approach to autism spectrum disorders,"Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, New York, USA" -91d94e1b92208b3cb5b0f4a1e48b79fb5851c381,Gaze-Wasserstein: a quantitative screening approach to autism spectrum disorders,"Children’s Guide Foundation Autism Spectrum Disorder Center, Buffalo, NY, USA" 91d94e1b92208b3cb5b0f4a1e48b79fb5851c381,Gaze-Wasserstein: a quantitative screening approach to autism spectrum disorders,"Department of Exceptional Education, Buffalo State University (SUNY), Buffalo, New York, USA" 916fbe5e8bec5e7757eeb9d452385db320204ee0,Shade analysis on facial images for robotic lighting,"Toyohashi University of Technology, Japan" 1cb7936b82112de51c9e3b885735d6c81e86e1a0,Pose and Illumination Invariant Face Recognition in Video,"Department of Electrical Engineering, University of California, Riverside, 92521" @@ -1420,117 +836,64 @@ c5868f6552e75fa747f9f70539d1b7736a5b076f,Generation of a Precise and Efficient L 1cceae92d399b2ed30aa54ab616e8c39e6ffbe11,Synthetic face generation under various operational conditions in video surveillance,"LITIV, Polytechnique Montréal, Montréal, Canada" 1c0d70587340adc412c6e2afd71012d563c1e724,Could we create a training set for image captioning using automatic translation?,"Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye" 1c0d70587340adc412c6e2afd71012d563c1e724,Could we create a training set for image captioning using automatic translation?,"Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye" -1c15e172032404df48ef685d6b1a5536843a7bd4,Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition,"Renmin University of China, Beijing, China" -1c4404885443b65b7cbda3c131e54f769fbd827d,CNN expression recognition based on feature graph,"School of Data Science and Software Engineering, Qing Dao University, Qingdao, China" 1c006db94629ef30ec75377925e4b49b4aa8aed7,Face model fitting with learned displacement experts and multi-band images,"Image Understanding and Knowledge-Based Systems Group, Technische Universität München, Garching, Germany" -1c09c81b63c84d1001ce7896f45a4ee50e2f8f49,Face detection for low power event detection in intelligent surveillance system,"Div. of Electrical Electronics and Control Engineering, Kongju National University, Kongju, Republic of Korea" 1cce875bf085602a2b0e486eb37dadc47e4efbb4,An optimized skin texture model using gray-level co-occurrence matrix,"IASRG Lab, 4th Floor, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia" -1c720c0da64d6e2e4e04cfa70216215bd33eade5,Region Trajectories for Video Semantic Concept Detection,"The Graduate Center, CUNY, New York, NY, USA" 1c720c0da64d6e2e4e04cfa70216215bd33eade5,Region Trajectories for Video Semantic Concept Detection,"The City College, City University of New York, New York, NY, USA" 1c720c0da64d6e2e4e04cfa70216215bd33eade5,Region Trajectories for Video Semantic Concept Detection,"NVIDIA Research, New York, NY, USA" 1cb5547c3f5ff42746bf9c4e083795aed3c8c609,Capped Lp-Norm Graph Embedding for Photo Clustering,"University of California, Irvine, Irvine, CA, USA" -1cb5547c3f5ff42746bf9c4e083795aed3c8c609,Capped Lp-Norm Graph Embedding for Photo Clustering,"University of California, Irvine, Irvine, USA" 1c5d7d02a26aa052ecc47d301de4929083e5d320,Vocal and Facial Biomarkers of Depression based on Motor Incoordination and Timing,"MIT Lincoln Laboratory, Lexington, MA, USA" -1cc952244563c61596d58d8f6c339a235fa975f7,Validation and benchmarking for pedestrian video detection based on a sensors simulation platform,"LEMCO (INRETS), 14 route de la minière, building 824, 78000 Versailles - Satory, France" -1cc952244563c61596d58d8f6c339a235fa975f7,Validation and benchmarking for pedestrian video detection based on a sensors simulation platform,"LIVIC (INRETS/LCPC), 14 route de la minière, building 824, 78000 Versailles - Satory, France" -1ce1bb9d63f189f3af88e3f874cb901694f790cc,FPGA-based pedestrian detection using array of covariance features,"Department of Computer Science, University of Verona, Italy" -1c3d1f85dab473df151bc6cb16e7361da5882bb9,Learning GMRF Structures for Spatial Priors,"Computer Science Department, Carnegie Mellon University. gu@cs.cmu.edu" -1c3d1f85dab473df151bc6cb16e7361da5882bb9,Learning GMRF Structures for Spatial Priors,"Computer Science Department, Carnegie Mellon University. epxing@cs.cmu.edu" 1c3d1f85dab473df151bc6cb16e7361da5882bb9,Learning GMRF Structures for Spatial Priors,"Computer Science Department, Carnegie Mellon University. tk@cs.cmu.edu" -1c9b9f3b3bf89f1c051c07411c226719aa468923,Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model,"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciencse, Beijing, China" -1c8b26d593bef51f2f56c64acaae65d8ee40b333,Calibrating and centering quasi-central catadioptric cameras,"Max Planck Institute for Intelligent Systems, Perceiving Systems Department, 72076 Tübingen, Germany" 1c49fbebedb3dbadac5c120407c9f355c8ccd2fe,Mouth open or closed decision for frontal face images with given eye locations,"Department of Electrical Engineering, Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden" 1c557a18fd8f4f1052ff3f831a694bd50ceb6664,Training Object Detectors with Synthetic Data for Autonomous UAV Sampling Applications,"The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA" 1c557a18fd8f4f1052ff3f831a694bd50ceb6664,Training Object Detectors with Synthetic Data for Autonomous UAV Sampling Applications,"Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA" -1c557a18fd8f4f1052ff3f831a694bd50ceb6664,Training Object Detectors with Synthetic Data for Autonomous UAV Sampling Applications,"The Pennsylvania State University Applied Research Laboratory, University Park, Pennsylvania, USA" 1c9a86d0b354e412da4b7c76fcd9cce716c8b09b,Soft local binary patterns,"Smart Network Software Development Department, SHARP Corporation, Higashihiroshima, Hiroshima 739-0146, Japan" 1c404de2c85a1b58cf7048ca645de6d392358779,Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos,"National Technical University of Athens & Yahoo! Research, Athens, Greece" -1c404de2c85a1b58cf7048ca645de6d392358779,Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos,"Yahoo! Research, San Francisco, CA, USA" -1c404de2c85a1b58cf7048ca645de6d392358779,Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos,"Yahoo! Research, Sunnyvale, CA, USA" -e286f4fb60fd819dd36db44d0f56dc76932aaee4,Privacy-Preserving Extraction of HOG Features Based on Integer Vector Homomorphic Encryption,"Shaanxi Normal University, Xi’an, China" e23b3779547682b3e1f5a9108ed1afddc97af679,Silhouette labeling and tracking in calibrated omnidirectional video sequences,"University of Thessaly Dept. of Computer Science and Biomedical Informatics, Papasiopoulou, Lamia, Greece" e23707a6978e08f7a2b83d82330b360759a9c1a0,Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification,"National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ." -e29d51146bd7bd479d7a638054f1d6dcba71fa1b,Approximate Thumbnail Preserving Encryption,"Intel Corporation & Portland State University, Hillsboro, OR, USA" e2b0e74bfaa0ba299a2da2e9204edcb10e481f04,"Synthesis of Facial Expressions in Photographs: Characteristics, Approaches, and Challenges","University of São Paulo, São Paulo, Brazil" e2efecac66fec3890b7ffeaa54ee1c6400f9029e,Pattern Recognition,"Department of Mathematics and Computer Science, University of Münster, Münster, Germany" e2efecac66fec3890b7ffeaa54ee1c6400f9029e,Pattern Recognition,"Computer Science Department 5, University of Erlangen-Nürnberg, Erlangen, Germany" e2efecac66fec3890b7ffeaa54ee1c6400f9029e,Pattern Recognition,"Department of Computer Science, University of Kiel, Kiel, Germany" -e23bc755f7e161d524fcc33b7d927d67dd4a5e76,Computer vision based personalized clothing assistance system: A proposed model,"Center for Information Technology, UPES, Dehradun, India" e234d80fe178a9b9a853e99e0cb4c22b57eab39b,An Efficient Face Recognition through Combining Local Features and Statistical Feature Extraction,"School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea" e251714d84e018fa2ec0c8c9948b9ece40613140,Multilayer feature combination for visual tracking,"College of Engineering, Huazhong Agricultural University, Wuhan P.R. China 430070" e251714d84e018fa2ec0c8c9948b9ece40613140,Multilayer feature combination for visual tracking,"College of Informatics, Huazhong Agricultural University, Wuhan P.R. China 430070" e2928b6bf05943782ff19c040804833c95435666,Evaluation of 3d face recognition using registration and PCA,"Visual Information Processing, Department of Computing, Imperial College, London, UK" -e225e1b77d87f8a6ee8e7ce3c93994233ba74dcb,Survey on Contemporary Remote Surveillance Systems for Public Safety,"VTT Technical Research Centre of Finland, Oulu, Finland" -e2658c545d0b8033ea1d7a775a4ae18f56b3bcc7,Objectness Region Enhancement Networks for Scene Parsing,"Cadres Online Learning Institute of Yunnan Province, Yunnan Open University, Kunming, China" e26a7e343fe109e2b52d1eeea5b02dae836f3502,Facial Expression Recognition Utilizing Local Direction-Based Robust Features and Deep Belief Network,"Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy" -e24d6b40e956e11e5f0a972dca6e8a3a337d502e,Variants of dense descriptors and Zernike moments as features for accurate shape-based image retrieval,"Department of Computer Applications, Guru Nanak Institute of Management and Technology, Ludhiana, India" -e24d6b40e956e11e5f0a972dca6e8a3a337d502e,Variants of dense descriptors and Zernike moments as features for accurate shape-based image retrieval,"Department of Computer Science, South Asian University, New Delhi, India" e2b8b3d5f6d84885bd33ef41b1ee419c06147b7f,Assemble New Object Detector With Few Examples,"AKiiRA Media Systems Inc., Palo Alto, CA, USA" -e2b8b3d5f6d84885bd33ef41b1ee419c06147b7f,Assemble New Object Detector With Few Examples,"Media Computing Group, Microsoft Research Asia, Beijing, China" -e2b8b3d5f6d84885bd33ef41b1ee419c06147b7f,Assemble New Object Detector With Few Examples,"Microsoft Advanced Technology Center, Beijing, China" -e2f91b21f3755914c193a546ba8718acf81c845b,Face recognition system with automatic training samples selection using self-organizing map,"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812, 19 Bratislava, Slovakia" e2b3aae594035e58f72125e313e92c7c4cc9d5bb,Real-time moustache detection by combining image decolorization and texture detection with applications to facial gender recognition,"Institute for Infocomm Research, A*STAR, Singapore, Singapore" -e22e848d3bbe8e75bba09203b70bdb1324dad471,A Limb-Based Graphical Model for Human Pose Estimation,"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China" -e22e848d3bbe8e75bba09203b70bdb1324dad471,A Limb-Based Graphical Model for Human Pose Estimation,"Institute for Deep Learning, Baidu, Sunnyvale, CA, USA" -e2fd91726073975f6e6eb7a88c9993da30f1621e,3D model reconstruction and animation from single view face image,"Computer Engineering Department, B. V. M Engineering College, Vallabh Vidyanagar, India" -e2fd91726073975f6e6eb7a88c9993da30f1621e,3D model reconstruction and animation from single view face image,"Computer Engineering Department, SVNIT, Surat, India" e281a0f632f5dee3697578d8ddf69da92c9410ab,GbLN-PSO and Model-Based Particle Filter Approach for Tracking Human Movements in Large View Cases,"Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia" e281a0f632f5dee3697578d8ddf69da92c9410ab,GbLN-PSO and Model-Based Particle Filter Approach for Tracking Human Movements in Large View Cases,"Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia" e21702df3d0faf5615b358714b7b7392984d6883,Probabilistic Low-Rank Multitask Learning,Department of Electrical and Computer Engineering -e2b2812f1f43206ec4059b459745e724f22bb878,A dimensionality reduction method based on structured sparse representation for face recognition,"School of Information Science and Engineering, YanShan University, Qinhuangdao, China" e293469719cea119bf9688922137f90451f7a67a,People in the weeds: Pedestrian detection goes off-road,"National Robotics Engineering Center, Carnegie Mellon University Robotics Institute, Pittsburgh, Pennsylvania 15201" e20b53bce9198baf7cef711efe9c1060b9ac07e0,A Simple Weight Recall for Semantic Segmentation: Application to Urban Scenes,"Heudiasyc Lab., UMR, Sorbonne universités. Université de technologie de Compièegne, CNRS, Compiègne, 7253, France" e2f7a7b3cf0681aea61a99e5289109c2d7f445b2,Feature-based head pose estimation from images,"University of Freiburg, Computer Science Institute, D-79110, Germany" -e2fb8ff1cc25a285288e7b6eda4c32fccdcaa10b,Investigation of the effect of face regions on local shape descriptor based 3D face recognition,"Elektrik ve Elektronik Mühendisliği Bölümü, TED Üniversitesi, Ankara, Türkiye" e2fb8ff1cc25a285288e7b6eda4c32fccdcaa10b,Investigation of the effect of face regions on local shape descriptor based 3D face recognition,"Elektrik ve Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye" e2df2b16d63dddc7a571ed3b993e5ffccbf2337f,Stripe based clothes segmentation,"Instituto Universitario SIANI, Universidad de Las Palmas de Gran Canaria - Spain" -b93ccd76e56a60461bd60604c918c33111288e80,Human-centered video analysis for multimedia postproduction,"Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece" b9dc8cc479cacda1f23b91df00eb03f88cc0c260,Event Specific Multimodal Pattern Mining for Knowledge Base Construction,"Columbia Univeristy, New York, NY, USA" -b96583c64a3e098adff6114a5dd42208a6ca67fa,A taxonomy of 2D and 3D face recognition methods,"Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India" b95abc092817c5ff8a84e8cc59053c4108e0176a,Road junction detection from 3D point clouds,"Instituto de Ciências Matemáticas e de Computação, University of São Paulo, Brazil" b9146b314812231d09587e3a9f622dda65d3cc40,A survey on social image understanding,"Department of Geography Information Science, School of Geography Science" b9146b314812231d09587e3a9f622dda65d3cc40,A survey on social image understanding,School of Computer Science and Technology -b9146b314812231d09587e3a9f622dda65d3cc40,A survey on social image understanding,"Department of Geography Information Science, Honors College, Nanjing Normal University Nanjing, Jiangsu, 210023, China" -b95c8bf1fa882d3c2ff466bae1eabdc533781806,An Overview of Image Recognition and Retrieval of Clothing Items,"Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India" -b9e43abd1f798f222dd7bf9caf8b597a0eed6316,Local Co-Occurrence Selection via Partial Least Squares for Pedestrian Detection,"University at Buffalo, The State University of New York, Buffalo, NY, USA" -b9237a613306050cd6d194c71c58a7f85bfb70e9,Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment,"Department of Information and Control, Nanjing University of Information Science & Technology, Nanjing, China" -b9237a613306050cd6d194c71c58a7f85bfb70e9,Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment,"Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing, China" -b9237a613306050cd6d194c71c58a7f85bfb70e9,Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment,"Kiwi Technology Inc., Nanjing, China" b93be80a44a2657f096b20152ff97227f91fbbd4,An Architecture to Accelerate Convolution in Deep Neural Networks,"Department of Computer Engineering, Polytechnique Montréal, Montréal, QC, Canada" -b9a6f14f5d3af6bdb31b40c6289e1b7aa323412f,Artificial Intelligence Techniques for Rational Decision Making,"Faculty of Engineering and the Built Environment, University of Johannesburg, Auckland Park, South Africa" -b944cc4241d195b1609a7a9d87fce0e9ba1498bc,Kernel Sparse Representation-Based Classifier,"Department of Information Management, Yuan Ze University, Taoyuan, China" b92182c0efd46df91ae8972b0d905213df29810c,Disparity estimation in stereo videos using spatio-temporal disparity hyperplane models,"Graduate School of Engineering, Tokyo University of Science, 125-8585, Japan" -b9000808ac1516e5bf134d02d362a46e1793b092,Emotion Understanding Using Multimodal Information Based on Autobiographical Memories for Alzheimer's Patients,"Imperial College, London, England" b999364980e4c21d9c22cc5a9f14501432999ca4,Human action recognition in videos with articulated pose information by deep networks,"Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal" b980c72a148c69320621163012bdaa3ead77635e,Gradient-based region of interest selection for faster pedestrian detection,Technical University of Cluj Napoca -b908487b30002d5ae1ebd819880a713494a45a40,Developmental Network: An Internal Emergent Object Feature Learning,"Department of Research, the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China" b91a7b79ba6216c2f18ae7ddaf6f97f46f015ddc,Near-duplicate video detection based on an approximate similarity self-join strategy,"Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil\" b91a7b79ba6216c2f18ae7ddaf6f97f46f015ddc,Near-duplicate video detection based on an approximate similarity self-join strategy,"Instituto de Ciências Exatas e Informática, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, Brazil" b91a7b79ba6216c2f18ae7ddaf6f97f46f015ddc,Near-duplicate video detection based on an approximate similarity self-join strategy,"IRISA (CNRS, Univ. Rennes 1), Campus de Beaulieu, Rennes, France" -b956d741740186c99c64bb789c87da000ed3c3a5,A novel method for online action segmentation and classification,"Machine Intelligence Laboratory, College of Computer Science, Sichuan University Chengdu, China" -b956d741740186c99c64bb789c87da000ed3c3a5,A novel method for online action segmentation and classification,"Machine Intelligence Laboratory, School of Computer Science, Sichuan University Chengdu, China" -b956d741740186c99c64bb789c87da000ed3c3a5,A novel method for online action segmentation and classification,"School of Computer Science, Sichuan University Chengdu, China" b961e512242ddad7712855ab00b4d37723376e5d,A real-time framework for eye detection and tracking,"Department of Computer Science, University of Western Ontario, London, Canada" b9436b3db0f0eb9e5c98e036c7b503a9f63ac2b1,Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images,"Department of Computer Science and Information Engineering (DISI), Trento, Italy" b9770484cfb2d7c7b1792b766b04703ecce0032a,Unsupervised image transformation for outdoor semantic labelling,"Computer Vision Center, Campus UAB, 08193, Bellaterra, Spain" -b9770484cfb2d7c7b1792b766b04703ecce0032a,Unsupervised image transformation for outdoor semantic labelling,"NICTA, Canberra Research Laboratory, Canberra, Australia" -b9b5bcd2fe579766074eef40ffbea0b4f4cc2283,Deep metric learning for person Re-identification and De-identification,"University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia" 303828619630ca295f772be0a7b9fe8007dfaea3,Face verification in the wild using similarity in representations,"Electrical Engineering Department, Faculty of Engineering, Higher Educational Complex of Saravan, Saravan, Iran, 9951634145" 301897fb2020b8c414eb1d93a0ec8fda4123476c,A multi-biometric feature-fusion framework for improved uni-modal and multi-modal human identification,"Department of Computer Science, Rhodes University, Grahamstown, South Africa" -3083bd7a442af6a1d72cdc04ae1ad7c30697a4e8,Facial expression recognition with enhanced feature extraction using graph fourier transform,"Department of Electrical Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India" -3083bd7a442af6a1d72cdc04ae1ad7c30697a4e8,Facial expression recognition with enhanced feature extraction using graph fourier transform,"Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India" -3083bd7a442af6a1d72cdc04ae1ad7c30697a4e8,Facial expression recognition with enhanced feature extraction using graph fourier transform,"Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi, India" 30329e87c9a3e2510bad8e36104f1a2df5a9541e,Local Contour Patterns for fast traffic sign detection,"University of Vigo, Spain" 3060ac37dec4633ef69e7bc63488548ab3511f61,A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots,"School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Coventry, UK" 3042d3727b2f80453ff5378b4b3043abb2d685a1,Building text features for object image classification,"Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign (UIUC), USA" 3042d3727b2f80453ff5378b4b3043abb2d685a1,Building text features for object image classification,"Dept. of Computer Science, University of Illinois Urbana-Champaign (UIUC), USA" 3074b3310968d012a760fa6a77ae0bc90f5ba8a2,Automatic cooperative camera system for real-time bag detection in visual surveillance,"Institute for Infocomm Research - A*STAR, 1 Fusionopolis Way #21-01 Singapore 138632" -30df8c70c11f6945b2b496b87c1923d2673092c6,Investigation of Small Group Social Interactions Using Deep Visual Activity-Based Nonverbal Features,"Istituto Italiano di Tecnologia, Genoa, Italy" 30df8c70c11f6945b2b496b87c1923d2673092c6,Investigation of Small Group Social Interactions Using Deep Visual Activity-Based Nonverbal Features,"Istituto Italiano di Tecnologia & University of Genoa, Genoa, Italy" 30df8c70c11f6945b2b496b87c1923d2673092c6,Investigation of Small Group Social Interactions Using Deep Visual Activity-Based Nonverbal Features,"Istituto Italiano di Tecnologia & University of Verona, Genoa & Verona, Italy" 309a62afbe1ca7ac181452c5b3c50e2f860e7e65,Panic detection by regional velocity changes in crowded areas from surveillance video,"Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye" 30f33cffe390dfcc03d8df28593aebba6afafd59,Video Predictive Object Detector,"School of Computing, Queen's University, Kingston, Canada" -3074da78949dc2d710892c66904b61d9ff684e50,Facial Expression Analysis for Distress Detection,"Department of Electronics and Communication, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram, India" 30457461333c8797457c18636732327e6dde1d04,Gender classification system for half face images using multi manifold discriminant analysis,"Department of CSE, GGITS, Jabalpur" 30457461333c8797457c18636732327e6dde1d04,Gender classification system for half face images using multi manifold discriminant analysis,"Department of CSE, PDPM-IIITDM, Jabalpur" 30835d3253e54256b5b77918bb1690824b3f24a8,Multi-view Vehicle Detection based on Part Model with Active Learning,"Centre of Artificial Intelligence, School of Software, FEIT, University of Technology, Sydney, Australia" @@ -1538,156 +901,96 @@ b9b5bcd2fe579766074eef40ffbea0b4f4cc2283,Deep metric learning for person Re-iden 30bb55d3ef6905cfeedc12aa0dc70ccbf85c8293,Deep Temporal Multimodal Fusion for Medical Procedure Monitoring Using Wearable Sensors,"PARC, Palo Alto, CA, USA" 30bb55d3ef6905cfeedc12aa0dc70ccbf85c8293,Deep Temporal Multimodal Fusion for Medical Procedure Monitoring Using Wearable Sensors,"Data Analytics and Computer Vision Department, PARC, a Xerox Company, Webster, NY, USA" 30d174536b730cc84af3ff1356c21e7ca18a7388,Ontological supervision for fine grained classification of Street View storefronts,"Google, California, United States" -30c30d661ad009b5edaf6dc887d4e394a24e148f,Visual speaker authentication by ensemble learning over static and dynamic lip details,"School of Information Security Engineering, Shanghai Jiaotong University, No. 800 Dong Chuan Rd., 200240, Shanghai, China" 30a77605282133e83ee5a35cc5bd9fe46534836c,Searching and annotating 100M Images with YFCC100M-HNfc6 and MI-File,"ISTI-CNR, Via G.Moruzzi, Italy" 30dc95969c36187ae96e414f2f45e3729213a5b8,Newton optimization based Congealing for facial image alignment,"ACROE-ICA, Grenoble, France" 30fe65e38a5822184a463bf0d26a374b5e08d2b9,Facial action recognition using very deep networks for highly imbalanced class distribution,"National Engineering Research Center for E-Learning, Central China Normal University" 30fe65e38a5822184a463bf0d26a374b5e08d2b9,Facial action recognition using very deep networks for highly imbalanced class distribution,"Human Language Technology Department, Institute for Infocomm Research, Singapore" -b15bd6376978321e37f339f0d1e7d5124559d389,Face Recognition Based on Projected Color Space With Lighting Compensation,"Institute of Photonics and Communications, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, R.O.C." b15bd6376978321e37f339f0d1e7d5124559d389,Face Recognition Based on Projected Color Space With Lighting Compensation,"Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, R.O.C." b15bd6376978321e37f339f0d1e7d5124559d389,Face Recognition Based on Projected Color Space With Lighting Compensation,"Department of Electronic Engineering, National Chin-Yi University of Technology, Taiping City, Taiwan, R.O.C." -b1e7da535171de484992a0f1a4fb915e67fb873c,Automatic and robust 3D face registration using multiresolution Spherical Depth Map,"School of Information Engineering, North China University of Technology, China" -b15cfd1e2f46a943328fa32fe0a571b8f7073b9f,Person Re-Identification by Deep Learning Muti-Part Information Complementary,"Academy of Broadcasting Science, No.2 Fuxingmenwai Road, Xicheng District, Beijing, China" b1bccc71e48ec4a114cef69a492b2e5b3d1f123b,Visual 3D tracking of child-adult social interactions,"Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY" -b13ca5fdd9de920915d602047305c1ccc6cab4cb,Convolutional neural networks for crowd behaviour analysis: a survey,"Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India" -b13ca5fdd9de920915d602047305c1ccc6cab4cb,Convolutional neural networks for crowd behaviour analysis: a survey,"Department of Information Technology, Delhi Technological University, Delhi, India" b131f10070538e55bb9f6026cc5c518736a0780d,Efficient representation learning for high-dimensional imbalance data,"Department for Technology, Innovation and Enterprise, Singapore Polytechnic, Singapore 139651" b131f10070538e55bb9f6026cc5c518736a0780d,Efficient representation learning for high-dimensional imbalance data,"Rakuten Institute of Technology, Singapore 048946" b1891010a0722117c57e98809e1f2b26cd8e9ee3,Analyzing the cross-generalization ability of a hybrid genetic & evolutionary application for multibiometric feature weighting and selection,"NC A&T State University, Greensboro, NC, USA" -b1efefcc9a5d30be90776571a6cc0071f3679753,BRoPH: A compact and efficient binary 3D feature descriptor,"Research Institution of Intelligent Control and Testing, Graduate School of Tsinghua University at Shenzhen, 518055, China" b1f4423c227fa37b9680787be38857069247a307,"Collecting Large, Richly Annotated Facial-Expression Databases from Movies",Commonwealth Scientific and Industrial Research Organization (CSIRO) b1cdbb1bcba07082c7172ef9c99f5a755eab04f1,Automatic emotion recognition in video,"Department of CSE, RMK Engineering College, Chennai" b196d2b8a79446b9dff3170b38b8480744194ddb,Inexact matching of structural models based on the duality of patterns and classifiers,"Mechatronics Group, Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand" b196d2b8a79446b9dff3170b38b8480744194ddb,Inexact matching of structural models based on the duality of patterns and classifiers,"Institute of Real Time Learning Systems, Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany" -b1f9657ad8033bca6f25a7aef019a1cb45b75ce2,High performance and fast object detection in road environments,DGIST -b1e6078cfd44ea816cf2fbc05d10c69543834150,Accurate Object Recognition with Shape Masks,"INRIA Grenoble, LEAR - LJK, Montbonnot, France" -b18dad1d2d725ab6db64dbe678a033464915f074,Early Fusion of Camera and Lidar for robust road detection based on U-Net FCN,"Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, Germany" b18dad1d2d725ab6db64dbe678a033464915f074,Early Fusion of Camera and Lidar for robust road detection based on U-Net FCN,"Daimler Center for Automotive Information Technology Innovations (DCAITI), Berlin, Germany" -b1c3ad30acfa909d817c60a6556f6d362d6d15bb,A novel network model based ICA filter for face recognition,"School of Computer Science, Chengdu University of Information Technology, Chengdu, China, 610225" b1c3ad30acfa909d817c60a6556f6d362d6d15bb,A novel network model based ICA filter for face recognition,"College of information engineering, Sichuan Agricultural University, Yaan 625014, P.R. China" b187ac6801c823f28052fde4a576184f6bbb436c,Patch Matching for Image Denoising Using Neighborhood-Based Collaborative Filtering,"Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA" b1d8d693e34c8cd80cf2e361f0910d5454393c11,Person Head Detection in Multiple Scales Using Deep Convolutional Neural Networks,"University of Hail, Saudi Arabia" -b109eb542610ead0b83ea23b4b2f45b18747e8bd,A multiple kernel learning approach to multi-modal pedestrian classification,"Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Genova - Italy" -b109eb542610ead0b83ea23b4b2f45b18747e8bd,A multiple kernel learning approach to multi-modal pedestrian classification,"Department of Computer Science, University of Verona, Verona - Italy" b1e14a9292c071d63f45cd3c1f645e83027be4c2,AAM based continuous facial expression recognition for face image sequences,"Computer Science Institute, Hochschule Ruhr West, Germany, Bottrop 46240" b1ed708d090dd155ffa9ac9699a876292f31aaff,Facial emotion recognition under noisy environment using empirical mode decomposition,"School of Mechatronic Engineering, UniMAP, Perlis, Malaysia" b1ed708d090dd155ffa9ac9699a876292f31aaff,Facial emotion recognition under noisy environment using empirical mode decomposition,"School of Computer and Communication Engineering, UniMAP, Perlis, Malaysia" b1ed708d090dd155ffa9ac9699a876292f31aaff,Facial emotion recognition under noisy environment using empirical mode decomposition,"Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000 Kulim, Kedah, Malaysia" b1b4b030b405b35689f6405e400697a2701e8119,Facial Action Unit intensity prediction via Hard Multi-Task Metric Learning for Kernel Regression,"Univ. Pierre & Marie Curie, ISIR - CNRS UMR 7222, F-75005, Paris - France" -b1bbe8b1afb97d590269bae95c34c87a8aa388cb,Multi-target tracking by continuous energy minimization,"TU Darmstadt, Computer Science Department" b1c7a6e7a28a33ba9c6d05d3fb02dcbd77ff3fa3,An Emotional Expression Monitoring Tool for Facial Videos,"University of Rhode Island, Kingston, USA" -b1a8315b4843da3d0b61c933a11d9b152cfaae70,Adaptive system to learn and recognize emotional state of mind,"ECE Department, MSIT, C-4 Janakpuri, New Delhi, India" b1a8315b4843da3d0b61c933a11d9b152cfaae70,Adaptive system to learn and recognize emotional state of mind,"MSIT, C-4 Janakpuri" -b1a8315b4843da3d0b61c933a11d9b152cfaae70,Adaptive system to learn and recognize emotional state of mind,"New Delhi, India" 0e677f2b798f5c1f7143ba983467321a7851565a,"Using Kinect for face recognition under varying poses, expressions, illumination and disguise","Curtin University Bentley, Western Australia" 0e677f2b798f5c1f7143ba983467321a7851565a,"Using Kinect for face recognition under varying poses, expressions, illumination and disguise","The University of Western Australia Crawley, Western Australia" 0e4baf74dfccef7a99c6954bb0968a2e35315c1f,Gender identification from face images,"TÜBİITAK-BİILGEM-UEKAE, Anibal Cad., P.K.74, 41470, Gebze-KOCAELİ, Turkey" 0eceb033643fbededefef1815ca7cea3b47f4a1c,Human face security system using alternative linear discriminant analysis based classifier,"Electrical Engineering Department, Engineering Faculty, Mataram University, Indonesia" 0ef906e6c67d8a4a2558ee8978178da4402024e5,Correspondence normal difference: An aligned representation of 3D faces to apply discriminant analysis methods,"The University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, Canada" -0e43417efcc2bf5cb11cae87502685c5e0455bac,Facial asymmetry analysis based on 3-D dynamic scans,"ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K." 0e14ff81568e3c5aedf6764f6be1ece325f67c02,Deciphering rangeland transformation—complex dynamics obscure interpretations of woody plant encroachment,"Texas A&M AgriLife Blackland Research and Extension Center, Temple, USA" -0e14ff81568e3c5aedf6764f6be1ece325f67c02,Deciphering rangeland transformation—complex dynamics obscure interpretations of woody plant encroachment,"Artesian Insights, Houston, USA" 0eec56cb77e52c8070dfd9088a55270f22536224,Fast and efficient 3D face recognition using wavelet networks,"Institut TELECOM ; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France" 0e245275cf1ce11d47291d0930d9b289cea9cc14,Combining attributes and Fisher vectors for efficient image retrieval,"Institut de Robòtica i Informàtica, Industrial (CSIC-UPC), Spain" 0e55a3a498cf7df0b980de1980c1e8c36fac1f27,A cascade framework for unoccluded and occluded pedestrian detection,"Dept. of Electronics Engineering Indian Institute of Technology (BHU), Varanasi" 0e55a3a498cf7df0b980de1980c1e8c36fac1f27,A cascade framework for unoccluded and occluded pedestrian detection,Dept. of Electronic and Communication Engineering Hanyang University ERICA -0ead390b8edbda1653834c77d547fd35bd2ee8f5,A novel fingerprint classification method based on deep learning,"School of Mathematical Science, UCAS, China" -0e151a26edaffc23f8f8224a0d132e2aa50644b0,Fuzzy art neural network model and its application,"Dept. of Software Engineering, ShenZhen Polytechnic, 518055,China" -0ecca0d93554dea65002ba3ce5924f02a6e6a886,Research on central issues of crowd density estimation,"School of Computer Science and Engineering University of Electronic Science and Technology of China, Chengdu, Sichuan, China" -0eb668a7542057bdda8296f856a91352dcea28e7,Tools for richer crowd source image annotations,"Washington University in St Louis, USA" 0efa6a6f385ce1d9eff6410ffc43e1f5a3c24f21,A minimax approach to Bayesian estimation with partial knowledge of the observation model,"Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel" -0e610db9b0626db3ab64cd7a8d2c4e49bfc48ed2,Social Anxiety Disorder is Associated with Reduced Eye Contact During Conversation Primed for Conflict,"Minneapolis, USA" -0e610db9b0626db3ab64cd7a8d2c4e49bfc48ed2,Social Anxiety Disorder is Associated with Reduced Eye Contact During Conversation Primed for Conflict,"Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia" 0e610db9b0626db3ab64cd7a8d2c4e49bfc48ed2,Social Anxiety Disorder is Associated with Reduced Eye Contact During Conversation Primed for Conflict,"Department of Psychology, Washington University in St Louis, St Louis, USA" 0eb077a3e227b19f032f980d3a3206e4ae15e429,Recognition of occluded facial expressions using a Fusion of Localized Sparse Representation Classifiers,"ECE Department, Union College Schenectady, NY 12308, USA" -0ef71bc44dda56495447bbdb3017fd808e765645,Visual Focus of Attention Estimation Using Eye Center Localization,"School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China" 0edafa576c8c89035db8ad24a8a1af5d457b746b,Articulated Human Detection with Flexible Mixtures of Parts,"University of California at Irvine, Irvine" 0e8c603fbf8ca02435e1a44ed41db077acd5c8a8,Real-time crowd behavior detection using SIFT feature extraction technique in video sequences,"CSE Department Chandigarh University, Gharuan Mohali, Chandigarh" 0e8c603fbf8ca02435e1a44ed41db077acd5c8a8,Real-time crowd behavior detection using SIFT feature extraction technique in video sequences,"Indian Institute of Information Technology, Allahabad - India 140413" -0e82489bd928af59b0e05eeea3e1ef952d9cb4db,Score level fusion method based on multiple oblique gradient operators for face recognition,"School of Computer, Shenyang Aerospace University, Shenyang, China" 0e56ba97ea6eac96c57ad4773af88a22d44f41b6,Online multiple object tracking with the hierarchically adopted GM-PHD filter using motion and appearance,"Gwangju Institute of Science and Technology, School of Electrical Engineering and Computer Science, Gwangju, Korea" 33ec047f1084e290c8a6f516bc75345b6bcf02a0,Smart cameras: 2D affine models for determining subject facial expressions,"Dept. Electronic Engineering, Natuonal University of Ireland, Galway" 33ec047f1084e290c8a6f516bc75345b6bcf02a0,Smart cameras: 2D affine models for determining subject facial expressions,"Dept. Electronic Engineering, National University of Ireland, Galway" 333123d85fb8142e5942459d8000fe4db32829f5,An evaluation of face recognition algorithms and accuracy based on video in unconstrained factors,"Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand" 335435a94f8fa9c128b9f278d929c9d0e45e2510,CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset,"Department of Mathematics and Computer Science, Ursinus College, Collegeville, PA" -3340a809c53edefd161f3c27448c7e383c15cdad,3DMAX-Net: A Multi-Scale Spatial Contextual Network for 3D Point Cloud Semantic Segmentation,"College of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, China" 337b5f0e70e04349da17e8069936e2260390aca0,Effective geometric features for human emotion recognition,"Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany" 3379938454ad1ea9522f164d0330a4e9b1a233ab,Analysis of Local Binary Patterns for face recognition under varying facial expressions,"Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10 Turkey" -336488746cc76e7f13b0ec68ccfe4df6d76cdc8f,Adaptive Cascade Regression Model For Robust Face Alignment,"Department of Information and Control, B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China" -33e430001ae882bdca340485346d4546295501d4,Learning Visual-Spatial Saliency for Multiple-Shot Person Re-Identification,"Department of System Architecture, ZTE Corporation, Shenzhen, China" 33e845e18acbf54ad2e031efe68493d07d7deb61,Can Diversity amongst Learners Improve Online Object Tracking,"Austrian Institute of Technology, Austria" -335be9250ba4a69a303abc3e202fb7c9c8551f49,"Large scale visual classification with SVM, create the unique article through NLP","Faculty of Information Technology, University of Moratuwa" 3303f4c5dfe63ac157ac36e45c46a592cce8a7b9,Estimation of Steering Angle and Collision Avoidance for Automated Driving Using Deep Mixture of Experts,"Research Center of Smart Vehicles, Toyota Technological Institute, Nagoya, Japan" 3303f4c5dfe63ac157ac36e45c46a592cce8a7b9,Estimation of Steering Angle and Collision Avoidance for Automated Driving Using Deep Mixture of Experts,"Ascent Robotics, Tokyo, Japan" -3303f4c5dfe63ac157ac36e45c46a592cce8a7b9,Estimation of Steering Angle and Collision Avoidance for Automated Driving Using Deep Mixture of Experts,"Denso Corporation, Kariya, Japan" -3303f4c5dfe63ac157ac36e45c46a592cce8a7b9,Estimation of Steering Angle and Collision Avoidance for Automated Driving Using Deep Mixture of Experts,"Nippon Soken, Nishio, Japan" -3303f4c5dfe63ac157ac36e45c46a592cce8a7b9,Estimation of Steering Angle and Collision Avoidance for Automated Driving Using Deep Mixture of Experts,"University of British Columbia (Okanagan), Kelowna, BC, Canada" 3302161db100e20fc04560bdc36587c1863e25fd,Determining the Existence of Objects in an Image and Its Application to Image Thumbnailing,"Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea" 33d8edb9b721e1132109bc37171b6eee26333ec8,Covert exchange of face biometric data using steganography,"Applied Computing Department The University of Buckingham Buckingham, United Kingdom" 33e94daa8d5e1e6969f28503a12181bd022d8df6,Joint Haar-like features for face detection,"Multimedia Lab., Toshiba Corp., Kawasaki, Japan" 330b66b43201057ca41622256737eceed1c5908b,A new geometric 3D LiDAR feature for model creation and classification of moving objects,"Department of Aerospace Engineering, Institute for Autonomous Systems Technology, University of the Bundeswehr Munich, Germany" -3365a33cf433ce6f8e6dff6f53f9b1c9cb43ac5b,A novel target detection algorithm combining foreground and background manifold-based models,"SafranTech, Safran, Magny-les-Hameaux, France" 33be61144db9b7d2878f3ccb1251ee75b4f5ecfe,LobNet: A low specification camera network platform using Ant-Cam,"Laboratoire Jean Kuntzmann, Univ. Grenoble Alpes / CNRS, Grenoble, France" 33e0b83b705835c1d0ea878225e82f4a0f25826c,Visualizing Gaze Direction to Support Video Coding of Social Attention for Children with Autism Spectrum Disorder,"Tsukuba University, Tsukuba, Japan" 336b2f1e477a1fea7651d5c1b6eab7fd17a039aa,Face hallucination scheme based on singular value content metric for K-NN selection and an iterative refining in a modified feature space,"Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, Peoples Republic of China" 3327e21b46434f6441018922ef31bddba6cc8176,Real-time illumination estimation from faces for coherent rendering,Metaio GmbH -3318ea550981a714d2c84522aee411460004347a,Recognizing interactions between human performers by ‘Dominating Pose Doublet’,"Information Access Division, National Institute of Standards and Technology (NIST), Gaithersburg, USA" 3318ea550981a714d2c84522aee411460004347a,Recognizing interactions between human performers by ‘Dominating Pose Doublet’,"Electrical Engineering Department, University of California, Santa Cruz, USA" -3318ea550981a714d2c84522aee411460004347a,Recognizing interactions between human performers by ‘Dominating Pose Doublet’,"Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India" 33d631ee947ef0cb184ab6b172213abea9f540db,Computer vision based eyewear selector,"Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain" 33d631ee947ef0cb184ab6b172213abea9f540db,Computer vision based eyewear selector,"E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Ciudad Real, Spain" 33658ee91ae67f3c92542dd0f0838b48c994ae4d,Robust Head Detection in Collaborative Learning Environments Using AM-FM Representations,"image and video Processing and Communications Lab (ivpcl.unm.edu), University of New Mexico, United States" 33658ee91ae67f3c92542dd0f0838b48c994ae4d,Robust Head Detection in Collaborative Learning Environments Using AM-FM Representations,"Dept. of Language, Literacy, and Sociocultural Studies, University of New Mexico, United States" -3316312af29a7c2c22c9653e63d51564e264b6ee,Fingerphoto spoofing in mobile devices: A preliminary study,"HIT Delhi, India" 0bd7c720e64a3c6e82f5fbe2a0183a2055e0d8bb,Ubiquitous Emotion Recognition Using Audio and Video Data,"University of Puerto Rico Bayamon, Bayamon, Puerto Rico" 0ba67a76c6e7d37d3fdc0017cd40a68e503168f1,Improve recognition performance by hybridizing principal component analysis (PCA) and elastic bunch graph matching (EBGM),"School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi 39406" 0bda07e2151ad616f008c88271553340461f0f30,A fusion concept of video and communication data for VRU recognition,"Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany" 0b58b3a5f153f653c138257426bf8d572ae35a67,Cloud-based facial emotion recognition for real-time emotional atmosphere assessment during a lecture,"Dept. of Cybernetics and Artificial Intelligence, FEI TU of Košice, Slovak Republic" -0b2aa5c1a2d1a5bb6c545874f93a3d3c085395d6,Contextual Enrichment of Remote-Sensed Events with Social Media Streams,"German Research Center for Artificial Intelligence, Kaiserslautern, Germany" -0b0c2d9db83b4f002f23f4a20cfc5a3d10295372,Semantic knowledge based on fuzzy system for describing facial expression,"Dalian Key Lab of Digital Technology for National Culture, Dalian MinZu University, Dalian, 116600, China" 0b878d553f359b38753c6ea27d7acf500a90da15,Sparse representation classification via fast matching pursuit for face recognition,"EECE Department - Cairo University, Giza, Egypt" 0b3786a3a0ea7ec08f01636124c183dbee8f625f,Learning Image Similarity from Flickr Groups Using Fast Kernel Machines,"Nanyang Technological University and Advanced Digital Science Center, Singapore" 0b2de2255280e2726b78b0d7921a206846f2e23e,A robust person detector for overhead views,"Electronics and Computer Science, Southampton University, UK" 0b4c8e23800ca4c2fc58c4c7771c229faf0631be,Creating a face database for age estimation and classification,"Center for Forensics, Biometrics and Privacy, Faculty of Organization and Informatics, Varaždin, Croatia" 0b83bfd13552b57fe551b6fcf088fdd3d6055854,The Reasonable Effectiveness of Synthetic Visual Data,"Computer Vision Center, UAB, Barcelona, Spain" -0b80fdb5b78422efdb3cdb840c78630de0af61f3,Research on the selection of kernel function in SVM based facial expression recognition,"School of Mechanical Engineering, University of Science and Technology Beijing, USTB, Beijing, China" 0b0e679e6d3abe3adc8525d4fee49b388ccfdf9a,Natural affect data — Collection & annotation in a learning context,"Univ. of Cambridge, Computer Laboratory" -0b1de7ead4c3e75a2f164855fa5a9a5f7ba1c951,SVO-PL: Stereo Visual Odometry with Fusion of Points and Line Segments,"Department of Research and Development, NanTong Memtech Technology CO., LTD, Nantong, Jiangsu Province, 226003, China" -0b7667c2cf78a96c0acd5194fbf46d5c288bda58,Human Perception of Visual Realism for Photo and Computer-Generated Face Images,"Ningbo University, Ningbo, China" -0b0c4641ed1b6d18a1f0789485484d97c1c8cccd,Re-ranking pedestrian re-identification with multiple Metrics,"School of Electronic Information Engineering, Hebei University of Technology, Tianjin, China" -0b0c4641ed1b6d18a1f0789485484d97c1c8cccd,Re-ranking pedestrian re-identification with multiple Metrics,"School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China" 43cdec7e1a0f3dab0e70a80aacb4a89085fab3f4,"Of mice, men, and machines: Real and artificial deep networks for vision","Department of Computer Science, University of Otago, Dunedin, New Zealand" -430147c2032add4793d3444ef77020cd2420773a,Traffic Sensory Data Classification by Quantifying Scenario Complexity,"school of Software Engineering, Xi’an Jiaotong University, Xi’an, China" -430147c2032add4793d3444ef77020cd2420773a,Traffic Sensory Data Classification by Quantifying Scenario Complexity,"Faculty of the Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China" 43eee49e372e5299608a79f8491fcf40998028df,"Complex event processing for content-based text, image, and video retrieval","Army Research Laboratory, Computational and Information Sciences Directorate" 43eee49e372e5299608a79f8491fcf40998028df,"Complex event processing for content-based text, image, and video retrieval","Army Research Laboratory, Sensors and Electron Devices Directorate" -43eee49e372e5299608a79f8491fcf40998028df,"Complex event processing for content-based text, image, and video retrieval","United States Air Force Research Laboratory, Dayton, OH" 43eee49e372e5299608a79f8491fcf40998028df,"Complex event processing for content-based text, image, and video retrieval","UK Defence Science and Technology Laboratory, Porton, Salisbury, UK" 43eee49e372e5299608a79f8491fcf40998028df,"Complex event processing for content-based text, image, and video retrieval","Defence Research and Development Canada, Valcartier, Quebec" -43eee49e372e5299608a79f8491fcf40998028df,"Complex event processing for content-based text, image, and video retrieval","Defence Research and Development Canada, Toronto, Ontario" 43eee49e372e5299608a79f8491fcf40998028df,"Complex event processing for content-based text, image, and video retrieval","Atos Turkey, Ankara, Turkey" -436f798d1a4e54e5947c1e7d7375c31b2bdb4064,Monocular 3D pose estimation and tracking by detection,"Department of Computer Science, TU Darmstadt" 434f1442533754b3098afd4e24abf1e3792b24db,Over-the-shoulder shot detection in art films,"Film Department ELTE University, Budapest, Hungary" 43d2deb66ad01e1a6b77e47ae31bf8dc12f81c22,Computer Vision – ECCV 2012,"Microsoft Research Ltd., Cambridge, UK" 43d2deb66ad01e1a6b77e47ae31bf8dc12f81c22,Computer Vision – ECCV 2012,"INRIA, Montbonnot, France" -43f413567f533497242028bdbc369ab0e7f6577e,3D partial face matching using local shape descriptors,"Università degli Studi di Firenze, Firenze, Italy" -43325f1459ddb03317adc2a2f83b44403028eafc,Joint patch and multi-label learning for facial action unit detection,"School of Comm. and Info. Engineering, Beijing University of Posts and Telecom., China" 43b7bdfcbf061a51a5c4cf55172ffd1191ea9665,GPU deformable part model for object recognition,"CEA, LIST, Vision and Content Engineering Laboratory, Gif-sur-Yvette, France" -43cbe3522f356fbf07b1ff0def73756391dc3454,Laplacian of smoothed image as representation for face recognition,"School of Computing and Electrical Engineering, IIT Mandi, H.P, 175001, India" 43301d1b4a66471512abd08fa2299bb99a7d24f8,Precise glasses detection algorithm for face with in-plane rotation,"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, People’s Republic of China" 431ab9a99eb7bd9bd9ced2d32afdda71bbdcddd0,Adaptive photograph retrieval method,"Department of Computer Science and Information Engineering, Chien Hsin University of Science and Technology, Taoyuan, Taiwan" 4317856a1458baa427dc00e8ea505d2fc5f118ab,Regularizing face verification nets for pain intensity regression,"Dept. of Electrical & Computer Engineering, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA" 4317856a1458baa427dc00e8ea505d2fc5f118ab,Regularizing face verification nets for pain intensity regression,"Dept. of Radiation Oncology, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA" -4317856a1458baa427dc00e8ea505d2fc5f118ab,Regularizing face verification nets for pain intensity regression,"Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China" -432585e8fa1893a03fbc4f1a9ab7e35c6275f073,Enhanced Visual Loop Closing for Laser-Based SLAM,"Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China" 4344ba6e33faaa616d01248368e66799548ca48b,Unsupervised joint face alignment with gradient correlation coefficient,"ICA Laboratory, Grenoble, France" -4344ba6e33faaa616d01248368e66799548ca48b,Unsupervised joint face alignment with gradient correlation coefficient,"Gipsa-Lab, Saint Martin d’Heres, France" -43b4db7bd73ff0a7a48298808c2976662b82f370,Motorbike theft detection based on object detection and human activity recognition,"University of Information Technology, Vietnam" -43c3b6a564b284382fdf8ae33f974f4e7a89600e,An Integrated Signature-Based Framework for Efficient Visual Similarity Detection and Measurement in Video Shots,"South Valley University, Qena, Egypt" 43c3b6a564b284382fdf8ae33f974f4e7a89600e,An Integrated Signature-Based Framework for Efficient Visual Similarity Detection and Measurement in Video Shots,"University of Nottingham (Malaysia Campus), Malaysia" -43fe65803439c1953f8baef7ca0654677182defd,An improved low-resolution face tracker system using gradient logarithm field feature space and bi-cubic interpolation,"School of Electronics Engineering, Bharath University, Chennai, India" -43fe65803439c1953f8baef7ca0654677182defd,An improved low-resolution face tracker system using gradient logarithm field feature space and bi-cubic interpolation,"Dept of ECE, Krishnasamy College of Engg and Technology, Cuddalore, India" -43fe65803439c1953f8baef7ca0654677182defd,An improved low-resolution face tracker system using gradient logarithm field feature space and bi-cubic interpolation,"Dept of ECE, KCG college of Technology Chennai, India" 4309faac3248663ed56a6a841cac1855e302f090,Data dimension reduction in training strategy for face recognition system,"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Slovak Republic" 4387998d52fedcab7d3d7144662787152e212893,A Study on the Learning Based Human Pose Recognition,"Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia" 43ba38f4f79f7ea47f472ad70f00f4c96c9dcdfa,Improved face recognition by incorporating local color information into the active shape model,"Department of Computer Science and Information Engineering, National Taipei University of Technology Taipei 10608, Taiwan" @@ -1695,93 +998,46 @@ cba31f4773e2e3ec849f7ebbe8633b5b7be5506e,Recognizing facial expressions: Computa cba31f4773e2e3ec849f7ebbe8633b5b7be5506e,Recognizing facial expressions: Computational models and humans,School of Computer Science University of Hertfordshire United Kingdom cb254fcaa1219f829793ac4a0a1f4c858d853c04,Smart pass automation system,"Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, Türkiye" cb472b1bd1fc60717adba88faf5c93c3d820784a,Bayesian tracking of multiple objects with vision and radar,"School of Electrical and Electronic Engineering and ST Engineering - NTU Corporate Lab, Nanyang Technological University Singapore" -cb45511e4089fb8aff17b0adb6a3f386046a0a6e,Using Convolutional Neural Networks for Content Extraction from Online Flyers,"Università degli Studi dell'Insubria, Varese, Italy" cb522961fae4cfeedcce8d0e3cf4cdfc8fe2b701,Real-Time Human Movement Retrieval and Assessment With Kinect Sensor,"Application Innovation Consultant with IBM, Taipei, Taiwan" -cb8382f43ce073322eba82809f02d3084dad7969,Facial Expression Recognition using 2D Stationary Wavelet Transform and Gray-Level Co-occurrence MatrixP@13-17,"Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India" cba987b9d2da056c23e052705f0eddedb12b086d,Facial feature representation with directional ternary pattern (DTP): Application to gender classification,"Islamic University of Technology, Gazipur-1704, Bangladesh" -cbf5b3469c7216c37733efca6c2cdb94357b14a7,Person Re-identification Based on Feature Fusion and Triplet Loss Function,"College of Electronic Information Engineering, South-Central University for Nationalities, Wuhan, China" -cbba7d753caf82fd5325a1b380146fcfe0c72e32,Deep Learning Based Real-Time Driver Emotion Monitoring,"School of Computer and System Sciences, Jawaharlal Nehru University, New Delhi, India" -cb124b7019f6c1d2b25d8a18a51d78cd12b511be,Principal Curvature Measures Estimation and Application to 3D Face Recognition,"Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France" cb124b7019f6c1d2b25d8a18a51d78cd12b511be,Principal Curvature Measures Estimation and Application to 3D Face Recognition,"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, P.R. China" cb124b7019f6c1d2b25d8a18a51d78cd12b511be,Principal Curvature Measures Estimation and Application to 3D Face Recognition,"King Abdullah University of Science and Technologh, V.C.C. Research Center, Thuwal, Saudi Arabia" cb124b7019f6c1d2b25d8a18a51d78cd12b511be,Principal Curvature Measures Estimation and Application to 3D Face Recognition,"Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France" -cbc562b3d3441b82ac756836027e0a085d142336,An Application of Graphic Tools and Analytic Hierarchy Process to the Description of Biometric Features,"Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, Lublin, Poland" cbc562b3d3441b82ac756836027e0a085d142336,An Application of Graphic Tools and Analytic Hierarchy Process to the Description of Biometric Features,"Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia" cbc562b3d3441b82ac756836027e0a085d142336,An Application of Graphic Tools and Analytic Hierarchy Process to the Description of Biometric Features,"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland" cb5cda13a4ccbc32ce912d51e402363c1b501b32,An efficient front-end facial pose estimation system for face recognition,"Computer Vision and Remote Sensing, Berlin University of Technology, Berlin, Germany" cb5f65bb52ef54b46368ba33db2ddf56cee5b8c5,Social Anxiety and Gaze Avoidance: Averting Gaze but not Anxiety,"Washington University in St. Louis, St. Louis, USA" -cb8ad4f9a50ccd46802289fc9199f5016b15fdc3,Automatic facial landmark detection in a video sequences of non-manual sign languages,"B. S. A. College of Engineering & Technology Mathura, India" -cb8ad4f9a50ccd46802289fc9199f5016b15fdc3,Automatic facial landmark detection in a video sequences of non-manual sign languages,"Indian Institute of Information Technology & Management, Gwalior, India" -cb6b9cc908a2862a17a1b4560ead1a49989275bc,Domain Adaptation for Face Recognition: Targetize Source Domain Bridged by Common Subspace,"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China" cb5d7fe8416810cfdc5b3b9d2b60f44ff9c5e78d,A modular approach and voting scheme on 3D face recognition,"Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Malaysia" cbd0f4006df1b2661f2c3a711d95727d61756afe,Multimodal Classification of Moderated Online Pro-Eating Disorder Content,"Yahoo Research, San Francisco, CA, USA" -cbd0f4006df1b2661f2c3a711d95727d61756afe,Multimodal Classification of Moderated Online Pro-Eating Disorder Content,"Georgia Tech, Atlanta, GA, USA" -cbd0f4006df1b2661f2c3a711d95727d61756afe,Multimodal Classification of Moderated Online Pro-Eating Disorder Content,"Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands" -cb9dbaf955cfb90a89a7b608b7390fa444a2c3a2,Knowledge Transfer between Computer Vision and Text Mining,"Faculty of Math. and Computer Science, University of Bucharest, Bucharest, Romania" -cb9dbaf955cfb90a89a7b608b7390fa444a2c3a2,Knowledge Transfer between Computer Vision and Text Mining,"Department of Computer Science, University of Bucharest, Bucharest, Romania" cb0a6de9341e0cd74ddf499fb18d6336332a9604,"An 84-dB extended dynamic range, 152fps, 512 × 384 segmented-base CMOS image sensor with a 10bit, 2.5-MS/s, 6.5-mW pipelined ADC","Department of Electrical Engineering, Tokyo University of Science Chiyoda-ku 102-0073 Tokyo, Japan" -cb30b67a913f0ef4094687a85e7fb09807a763eb,A visual attention based convolutional neural network for image classification,"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China" f96dd74d4dc828cedea8b82503effc7a012a79fb,Pedestrian Dynamic and Kinematic Information Obtained from Vision Sensors,"Instituto de Investigaciones en Ingeniería Eléctrica, Departamento de Ingeniería Eléctrica y de Computadoras, Universidad Nacional del Sur (UNS)-CONICET, Argentina" f929915cefe8f581e3425c9d94639e25771e759d,Constructing dynamic category hierarchies for novel visual category discovery,"TAMS group, Dept. Informatics, University of Hamburg. Vogt-Koelln-Strasse 30, 22527, Germany" -f9592652d962f470d539d42e21989e71df943041,THU-intel at rushes summarization of TRECVID 2008,"Intel China Research Center, Beijing, China" f9d2e8f2038fb2c7e088185c0f1e05b841d8b8ca,An interpolation based approach for lighting variation in image recognition,"The University of Texas at Arlington, USA" f918983c4dceb6b655bb7b68b3506c85f377cc8b,Spatiotemporal compressed sensing for video compression,"Department of Electrical and Computer Engineering, The Johns Hopkins University Baltimore, MD, USA" f9329c2ab6d27864e498daed3709665522c1809a,Data fusion for automated pain recognition,"Medical Psychology, Department Psychosomatic Medicine and Psychotherapy, University of Ulm, Germany" -f9329c2ab6d27864e498daed3709665522c1809a,Data fusion for automated pain recognition,"Institute for Information Technology and Communications, University of Magdeburg, Germany" -f9329c2ab6d27864e498daed3709665522c1809a,Data fusion for automated pain recognition,"Institute of Neural Information Processing, University of Ulm, Germany" f9329c2ab6d27864e498daed3709665522c1809a,Data fusion for automated pain recognition,"Faculty of Electrical Engineering, Federal University of Uberlândia, Brazil" -f91e069b2e67801f54ec05a1265fc707a65feb37,Symbolic road marking recognition using convolutional neural networks,"Nissan Research Center, Silicon Valley, USA" f9f34a0558a58720e1aa55421ff7583f049208a4,A hierarchical feature model for multi-target tracking,"Norwegian University of Science and Technology, Gj⊘vik, Norway" -f9f34a0558a58720e1aa55421ff7583f049208a4,A hierarchical feature model for multi-target tracking,"Hainan University, China" f9e22befa53647209c9f63f2dba7bc56fd3b6f08,Reliable face recognition using feature selection and image rejection based on probabilistic face model,"School of Computer Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu" -f95004e9a61777a0c4fe6014acb9bc5d63024af0,Static human behavior classification based on LLC features and GIST features,"Shenyang Institute of Automation, Chinese Academic of Sciences, Key Lab of Image Understanding and Computer Vision, The Key Laboratory of Optical Electrical Image Processing, Shenhe District, Shenyang, Liaoning, China" -f98fdd7f7d95a56af8c8c11298af99c9a6142576,ES-RU: an entropy based rule to select representative templates in face surveillance,"University of Salerno, Fisciano, Italy" -f9d84a4a559b303a672f113abdd7d333ed94ab21,Rescaling of low frequency DCT coefficients with Kernel PCA for illumination invariant face recognition,"Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India" -f9d84a4a559b303a672f113abdd7d333ed94ab21,Rescaling of low frequency DCT coefficients with Kernel PCA for illumination invariant face recognition,"School of Engineering & Sciences, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India" -f9d84a4a559b303a672f113abdd7d333ed94ab21,Rescaling of low frequency DCT coefficients with Kernel PCA for illumination invariant face recognition,"Dept. of CS & IT, Jaypee Institute of I.T., Noida, India" f9378db092580854602e37d2285d0be10671eb3b,A robust sparse representation based face recognition system for smartphones,"Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran" f9edda8351a65d23967132a4f9f5d24ff3bf4f11,Belief consensus for distributed action recognition,"Department of Electrical Engineering, University of California, Riverside" -f9f72562b135a4c04974c9423dba6b5c6192541f,A Deep Spatiotemporal Perspective for Understanding Crowd Behavior,"Department of Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genoa, Italy" f938a5e5bc9a309b00da6b372a175e9a27aa16b1,Multi-model particle filter-based tracking with switching dynamical state to study bedload transport,"Laboratoire Hubert Curien UMR 5516, UJM-Saint-Étienne, CNRS, IOGS, Université de Lyon, Saint-Étienne, France" f938a5e5bc9a309b00da6b372a175e9a27aa16b1,Multi-model particle filter-based tracking with switching dynamical state to study bedload transport,"Université Grenoble Alpes, Irstea, UR ETGR, St-Martin-d’Hères, France" -f9824a85f30c687f7b3a3fbf25f842d3d87e77ea,Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning,"Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China" f9c580a24bd3f73190ccdd255208478e999d632d,DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system,"PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory, Department of Electrical Engineering, School of Engineering and Cancer-Lab, Tropical Diseases Research Centre (CIET), Universidad de Costa Rica, San José, Costa Rica" f9c580a24bd3f73190ccdd255208478e999d632d,DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system,"Image Processing and Computer Vision Group, Computer Science Department, Universidad de Buenos Aires, Argentina" -f9e9e352862938ce6374381fa4a233ad01ddd3bb,Crowd motion analysis for group detection,"Indian Institute of Technology Bombay, Mumbai, India" 872e93c59ff55ccf402337f066bd04d37ebb1edd,Markerless motion capture of interacting characters using multi-view image segmentation,MPI Informatik -872e93c59ff55ccf402337f066bd04d37ebb1edd,Markerless motion capture of interacting characters using multi-view image segmentation,"BIWI, ETH Zurich" 870820d4c830f299c7db17ded13e7b6410fe3b54,Cross-pose facial expression recognition,"Signal Processing Lab (LTS5), École Polytechnique, Fédérale de Lausanne, Switzerland" 87ba8ea7cadd7965551c7fa7b7c0282d0d4d9773,Substantial improvement of stereo visual odometry by multi-path feature tracking,"School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand" 87879be7d2d65a2b6e257cf10b6f51fe9ab8608e,"A review on driver drowsiness based on image, bio-signal, and driver behavior","Department of Electrical and Information Engineering, University of Gadjah Mada, Indonesia" -87cfd0aa3baa43efdf40fe36452516b89c05bb5e,New feature selection for neighbor embedding based super-resolution,"Dept. of Computer Science, Jinan University, Guangzhou, China, 510632" -875c0171f83296b929b64c2f82f626250f6004ce,Large margin classifiers based on convex class models,"Laboratoire Jean Kuntzmann, B.P. 53, 38041 Grenoble Cedex 9, France" 877d0d47700b82da0563161f57cfe2dcc2be0fbb,Improving classifiers with unlabeled weakly-related videos,"Computer Vision Laboratory, ETH Zurich, Switzerland" -877d0d47700b82da0563161f57cfe2dcc2be0fbb,Improving classifiers with unlabeled weakly-related videos,"Institute for Computer Graphics and Vision, TU Graz, Austria" -877d0d47700b82da0563161f57cfe2dcc2be0fbb,Improving classifiers with unlabeled weakly-related videos,"Oxford Brookes University and Sony Computer Entertainment, London, UK" -87a837ebe3b4770165dacf0738602b42902cb7a5,Region Based 3D Face Recognition,"Mahatma Gandhi University, School of Computer Sciences, Kottayam, Kerala, India" -87a837ebe3b4770165dacf0738602b42902cb7a5,Region Based 3D Face Recognition,"Mar-Baselious Institute of Technology & Science, Kothamangalam, Kerala, India" 8747cc07e564e567ed0e8de038a222782206d986,Investigating the role of implicit prototypes in the prototype willingness model,"Department of Psychology, Ohio University, Athens, USA" -8770d091d91626e80c7fdacdea6bbd464986fb13,Face recognition using entropy-augmented face isolation and image folding as pre-processing techniques,"Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, India" -8770d091d91626e80c7fdacdea6bbd464986fb13,Face recognition using entropy-augmented face isolation and image folding as pre-processing techniques,"Dept. of Electronics and Communication Engg. M.S. Ramaiah Inst. of Tech. Bangalore-560054, India" -8770d091d91626e80c7fdacdea6bbd464986fb13,Face recognition using entropy-augmented face isolation and image folding as pre-processing techniques,"Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech. Bangalore-560060, India" -8746db1ddf564856f01555380903499553c03a4a,Half-Face Dictionary Integration for Representation-Based Classification,"LEAR Group, INRIA Grenoble Rhône-Alpes, Montbonnot, France" -8773d5dcc15ad7f3de8a3deb1fcd2b5e522bf869,Geolocation based image annotation,"IRIT-ENSEEIHT, FRANCE" 87e5e86ea70b8cedf68d9f7e36ac29162366318a,Formalizing a Transient-Goal Driven Approach for Pedestrian-Aware Robot Navigation,"ATR Intelligent Robotics and Communication Labs., Kyoto, Japan" -871e5c0f69fab2bf331420a038f2beb0e000276d,Image preprocessing method based on local approximation gradient with application to face recognition,"College of Information Engineering, Northwest A&F University, Yangling, China" 879096084520c8a105c363c85d1d1d483805211f,An improved Kirsch human face image edge-detection method based on canny lgorithm,"School of Electricity and Electron Engineering, Changchun University of Technology, Changchun China" -8741a327f06b2969dc5e1e7a89b577f2d8c262fa,SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks,"Sullivan Nicolaides Pathology, Australia" 87f960948d6241700809105090aafaa680e5b6a4,Enhanced obfuscation for multi-part biometric templates,"EyeVerify, Inc., Kansas City, USA" 87f960948d6241700809105090aafaa680e5b6a4,Enhanced obfuscation for multi-part biometric templates,"CSEE Department, University of Missouri Kansas City, Kansas City, USA" -87c0f3408ac4411b615756f6c854177c440f0b2f,Efficient human pose estimation via parsing a tree structure based human model,"National Laboratory of Pattern Recognition, Institute of Automation, Beijing, China" 87c0f3408ac4411b615756f6c854177c440f0b2f,Efficient human pose estimation via parsing a tree structure based human model,"School of Computer Science and Information Systems, Birkbeck College, London, UK" -878130455685650f0f185313371a3f4897f06c14,Method for pedestrian detection using ground plane constraint based on vision sensor,"Department of Computer Science, Shandong University at Weihai, China" 878130455685650f0f185313371a3f4897f06c14,Method for pedestrian detection using ground plane constraint based on vision sensor,"Department of Information and Communication Engineering, INHA University, Incheon, Korea" -87665dd7863ebb3738718758926a43cbe9fee20e,Representative feature chain for single gallery image face recognition,"NICTA, Queensland, Australia" 87c2e267fadac9d4f4f694125eb86eaaf7121797,Fine tuning CNNS with scarce training data — Adapting imagenet to art epoch classification,"Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany" -87ee56feefdb39938cda7f872e784d9d986713af,Fusion of face recognition and facial expression detection for authentication: a proposed model,"Universiti Kuala Lumpur, Kuala Lumpur" -87ee56feefdb39938cda7f872e784d9d986713af,Fusion of face recognition and facial expression detection for authentication: a proposed model,"Universiti Kuala Lumpur, Kedah" 26bbe76d1ae9e05da75b0507510b92e7e6308c73,Learning to pool high-level features for face representation,"Department of Information Engineering, HeNan Radio and Television University, Zhengzhou, People’s Republic of China" -266ee26a6115f1521ce374e4ab106d997c7b1407,Spectaculars face classification by using locality preserving projections,"Dept of ECE, Bannari Amman Inst of Technology, Sathyamangalam, Erode, India" 2603a85b305d041bf749934fe538315ecbc300c2,Non Maximal Suppression in Cascaded Ranking Models,"Center for Visual Computing, École Centrale Paris, France" 2603a85b305d041bf749934fe538315ecbc300c2,Non Maximal Suppression in Cascaded Ranking Models,"Équipe Galen, INRIA Saclay, Île-de-France, France" 2603a85b305d041bf749934fe538315ecbc300c2,Non Maximal Suppression in Cascaded Ranking Models,"LIGM (UMR CNRS), École des Ponts ParisTech, Université Paris-Est, France" @@ -1792,59 +1048,34 @@ f9e9e352862938ce6374381fa4a233ad01ddd3bb,Crowd motion analysis for group detecti 263c5b952cb85c3820fe903c48f7a76abcd7e778,Modeling Gabor Coefficients via Generalized Gaussian Distributions for Face Recognition,"Signal Theory and Communications Department, University of Vigo, jalba@gts.tsc.uvigo.es" 26fa4c87a2c9e21e9207cc4aee2b9890b1ad5a0d,A domain adaptation approach to improve speaker turn embedding using face representation,"Idiap, Switzerland" 26db78cc0cac058ea6e46101ad2e7e91f510cd2e,Rotation and scale invariant target detection in optical remote sensing images based on pose-consistency voting,"Department of Electrical Engineering, University of Tulsa, Tulsa, USA" -26db78cc0cac058ea6e46101ad2e7e91f510cd2e,Rotation and scale invariant target detection in optical remote sensing images based on pose-consistency voting,"Beijing Institute of Remote Sensing Information, Beijing, China" -266cb58a82ce44ce8f0cffbfa89e44227096f424,Assessment for facial nerve paralysis based on facial asymmetry,"Department of Rehabilitation, Shanghai Tenth People’s Hospital, Shanghai, China" -26f25c552f0d82d2d774e66e57d337bebd197d24,Efficient hardware acceleration of CNNs using logarithmic data representation with arbitrary log-base,"Robert Bosch GmbH, Renningen, Germany" -26f25c552f0d82d2d774e66e57d337bebd197d24,Efficient hardware acceleration of CNNs using logarithmic data representation with arbitrary log-base,"Technical University of Munich, Munich, Germany" -263da1c074ad3527edf82bba0222f74c6f173973,"Eyeglasses detection, location and frame discriminant based on edge information projection","School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China" 266667e73d15a4b0ecd401b4d20af497d879679e,Hybrid back-propagation training with evolutionary strategies,"Instituto Tecnológico de Tijuana, Tijuana, México" 26947c3ead54e571286fdea25f1fc4d121817850,Biometrics based assistive communication tool for children with special needs,"School of Engineering, Computing & Science, Swinburne University of Technology, Kuching, Malaysia" -26d04923efccaec3a2c4435ab760c84a46f458cc,Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features,"Machine Vision and Pattern Recognition Research Group, Lappeenranta University of Technology, Finland" 26fcefb80af66391e07e6239933de943c1cddc6e,"Pose, illumination and expression invariant pairwise face-similarity measure via Doppelgänger list comparison","Department of Computer Science and Engineering, University of California, San Diego, USA" 265e76285e18587065a1e28246971f003c5267f3,Statistical and neural methods for vision-based analysis of facial expressions and gender,"Dept. of Neuroinformatics, Ilmenau Tech. Univ., Germany" -26a03fe498b2c065087d17b1af930d69a89a0a8f,Hand posture recognition in video using multiple cues,"Nokia Research Center, Beijing, 100084, China" 26d08a90848c8dba9e4e7c2adee6c38d713699d3,The DriveU Traffic Light Dataset: Introduction and Comparison with Existing Datasets,"Daimler AG, Research and Development, Ulm, 89081, Germany" 26d08a90848c8dba9e4e7c2adee6c38d713699d3,The DriveU Traffic Light Dataset: Introduction and Comparison with Existing Datasets,"The Department of Measurement, University of Ulm, Control and Microtechnology, Ulm, 89081, Germany" 261a839307d5f6facf7dcb1cbf7beb064c3bc044,Image Augmentation for Classifying Facial Expression Images by Using Deep Neural Network Pre-trained with Object Image Database,"School of Science and Engineering, Meisei University, Hodokubo, Hino-city, Tokyo, Japan" -260126c4fa2c0be6006335527eaaa58cec711be6,Continuous visual speech recognition for multimodal fusion,"Telecom ParisTech, CNRS-LTCI, 46 rue Barrault, 75013 Paris, France" 260126c4fa2c0be6006335527eaaa58cec711be6,Continuous visual speech recognition for multimodal fusion,"Parrot S.A. 174 quai de Jemmapes, 75010 Paris, France" 26a9447fd836c98077d512b224c2c8771b7806d9,Generalized ring averaging: a new method for left and right directional illumination invariant face recognition for frontal poses and their small variants,"D.Y. Patil college of engg., Akurdi, Pune" -267b78d000fbac96f8187f6baa5ec9d9cdc23536,A Deep Learning Approach for Next Location Prediction,"School of Information Science and Engineering, Lanzhou University, Lanzhou, China" -262cdbc57ecf5c18756046c0d8b9aa7eb10e3b19,Local Similarity based Linear Graph Embedding: A Robust Face Recognition Framework for SSPP problem,"PLA University of Science and Technology, China" 26be80fcd89edd7d4a0c2aeec463d1aa74f5ff47,Boosting facial expression recognition using LDGP ¿ Local Distinctive Gradient Pattern,"CS dept., National Institute of Development, Administration, Thailand" 26be80fcd89edd7d4a0c2aeec463d1aa74f5ff47,Boosting facial expression recognition using LDGP ¿ Local Distinctive Gradient Pattern,"CSE dept., Green University of Bangladesh, Dhaka, Bangladesh" -26e4d80c4ef601b739904c5acc1a682dbc049af0,"Energy efficient face recognition using row, column feature vectors of Slant Transform and performance comparison with PCA","MPSTME, SVKM's NMIMS University, Vile-Parle (W), Mumbai 400 056, India" -26e4d80c4ef601b739904c5acc1a682dbc049af0,"Energy efficient face recognition using row, column feature vectors of Slant Transform and performance comparison with PCA","Research Scholar, MPSTME, SVKM's NMIMS University, SFIT Borivalli(W) ,Mumbai 400 103, India" -264a344e4d65cbc14d52f0c875f4534217c37bdd,Patch-based scale calculation for visual tracking,"College of Command Information Systems, PLA University of Science and Technology (PLAUST), Nanjing, China" 26b606ac6beb2977a7853b032416c23c7b36cb8a,Multiscale binarised statistical image features for symmetric unconstrained face matching,Faculty of Electrical and Computer Engineering Urmia University 2604aa10fee1900451fe0ddd115c413b0204d1df,An Effective Tread Pattern Image Classification Algorithm based on Transfer Learning,"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications and Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry ..." -2604aa10fee1900451fe0ddd115c413b0204d1df,An Effective Tread Pattern Image Classification Algorithm based on Transfer Learning,"Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China" 2604aa10fee1900451fe0ddd115c413b0204d1df,An Effective Tread Pattern Image Classification Algorithm based on Transfer Learning,"Center for Image and Information, Processing, Xi'an University of Posts and Telecommunications" -1ac4e83971cb2d0114eb3101651239c27d1b5b2b,Squirrel-Cage Local Binary Pattern and Its Application in Video Anomaly Detection,"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China" 1ac4e83971cb2d0114eb3101651239c27d1b5b2b,Squirrel-Cage Local Binary Pattern and Its Application in Video Anomaly Detection,"Department of Mathematics and Computer Science, École centrale de Lyon, Écully, France" -1ac4e83971cb2d0114eb3101651239c27d1b5b2b,Squirrel-Cage Local Binary Pattern and Its Application in Video Anomaly Detection,"School of Electronics and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China" -1a03dcc811131b0b702bd5a75c54ed26cd27151a,Automated facial expression recognition based on histograms of oriented gradient feature vector differences,"Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia" -1abafbb83a617c1a63eeba8796fb49b6778db93d,Online discriminant projective non-negative matrix factorization,"Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)" 1a2a0d757f8afd0b241b160030ea0b9f3e2395c4,An Efficient Reverse Engineering Hardware Trojan Detector Using Histogram of Oriented Gradients,"System and Computer Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt" 1ad9bc55d1a6ee18607b027ca7fcd03bec979e87,Strengthening Passwords by Keystroke Dynamics,"Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10." 1ad9bc55d1a6ee18607b027ca7fcd03bec979e87,Strengthening Passwords by Keystroke Dynamics,"Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10., czuni@almos.vein.hu" -1aeb7bffb66e278b4b859538a70790bbe2fc9cdc,Facial Expression Recognition with LDPP & LTP using Deep Belief Network,"Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India" 1addc5c1fa80086d1ed58f71a9315ad13bd87ca2,Impact of action unit detection in automatic emotion recognition,"ISIR, UPMC Univ Paris 06, CNRS, Paris, France" 1addc5c1fa80086d1ed58f71a9315ad13bd87ca2,Impact of action unit detection in automatic emotion recognition,"LAMIA, EA 4540, University of French West Indies and Guyana, Guadeloupe, France" 1a24785a6cb7f245728962cc46a5a491c7afe61b,Automatic extraction of useful scenario information for dramatic videos,"Advanced Research Institute, Institute for Information Industry, Taipei, Taiwan" 1a51c0f5f20d3abddc01dd1f6a40ba75a6164459,A robust algorithm for detecting people in overhead views,"Centre of Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan" -1a7db5776181155f90bba4df97cf3206ce0271a9,A novel face representation toward pose invariant face recognition,"School of Communication and Information Engineering Shanghai University Shanghai, China" -1ad8b5ff526b8d6103051ed792d9ee8ca3c8be54,Object detection based on Multi-viewpoint histogram,"School of Automation, Huazhong Univ. of Sci. & Tech., Wuhan, China" -1ac4951dac6f7e19148a7d66ec26d1c3f4ccb0c1,A Deep Convolutional Network Based Supervised Coarse-to-Fine Algorithm for Optical Flow Measurement,"South China Agriculture University, Dept. of Computer Science and Technology, Guangzhou, China" 1a8f35982e77409931463342d3955ff63b73d3b6,Face Recognition using Hidden Markov Eigenface Models,"Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: nankaku@ics.nitech.ac.jp" 1a8f35982e77409931463342d3955ff63b73d3b6,Face Recognition using Hidden Markov Eigenface Models,"Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: tokuda@ics.nitech.ac.jp" -1a6b88105b2e5c5f92bcded1acb0769818858838,Clothes search in consumer photos via color matching and attribute learning,"Hewlett-Packard Laboratories, Palo Alto, CA, USA" 1a10782ce899b0f884aaa8ef4659976adb5d0699,Clustering of tracklets for on-line multi-target tracking in networked camera systems,"VDG Security B.V., Zoetermeer, The Netherlands" -1acfe213bde3f69a8eff515d92ae88220cec4bad,Head-shoulder human contour estimation in still images,"Pontifícia Universidade Católica do Rio Grande do Sul, Brazil" 1acfe213bde3f69a8eff515d92ae88220cec4bad,Head-shoulder human contour estimation in still images,"Institute of Informatics, Federal University of Rio Grande do Sul, Brazil" 1a6bab35f09749d85975b4a02dc444704bdd1b58,An efficient algorithm for Co-segmentation,"Haas School of Business, and Industrial Eng. and Operations Research, Univ. of California, Berkeley, USA" 1a6bab35f09749d85975b4a02dc444704bdd1b58,An efficient algorithm for Co-segmentation,"Biostatistics & Medical Informatics, and Computer Sciences, Univ. of Wisconsin-Madison, USA" -1a71f9af98228f4d2b15cfaf415321813e29b087,Uncalibrated non-rigid factorisation with automatic shape basis selection,"Malmö University, Applied Mathematics Group, Östra Varvsgatan 11A, 20506, Sweden" 1a3c4a57b4ee90365fb714a24672c97083fc44d5,An Evaluation of Audio-Visual Person Recognition on the XM2VTS Corpus using the Lausanne Protocols,"MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, kbrady@ll.mit.edu" 1a3c4a57b4ee90365fb714a24672c97083fc44d5,An Evaluation of Audio-Visual Person Recognition on the XM2VTS Corpus using the Lausanne Protocols,"MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, msb@ll.mit.edu" 1a3c4a57b4ee90365fb714a24672c97083fc44d5,An Evaluation of Audio-Visual Person Recognition on the XM2VTS Corpus using the Lausanne Protocols,"MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, tfq@ll.mit.edu" @@ -1853,66 +1084,45 @@ f9e9e352862938ce6374381fa4a233ad01ddd3bb,Crowd motion analysis for group detecti 1a6f03813c10edebb3750a5b12081dd922cacd96,Saliency Map Generation by the Convolutional Neural Network for Real-Time Traffic Light Detection Using Template Matching,"Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Japan" 1a7101f44cf46ab7ec0a7a64d16e2024d9e721ef,Face recognition in uncontrolled conditions,"Department of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran" 1a7101f44cf46ab7ec0a7a64d16e2024d9e721ef,Face recognition in uncontrolled conditions,"Department of Electrical, IT & Computer Sciences, Qazvin Islamic Azad University, Qazvin, Iran" -1a6abbe2e052c07ae2524ffdf91a8b340cdb2718,Concatenating multiple trajectories using Kalman filter for pedestrian tracking,"Instituto de Tecnologia - UADE, Buenos Aires, Argentina" -1a862270ad9168e3bf5471bda2793c32d4043aa4,An illumination angle classification method in the face recognition based on the similarity of light estimated images,"College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei, 443002, China" 1ab19e516b318ed6ab64822efe9b2328836107a4,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,"Department of New Media, Korean German Institute of Technology, Korea" -1ab19e516b318ed6ab64822efe9b2328836107a4,Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation,"Department of Electrical Engineering, KAIST, Korea" 1a0e1ba4408d12f8a28049da0ff8cad4f91690d5,A Hierarchical Predictive Coding Model of Object Recognition in Natural Images,"Department of Informatics, King’s College London, London, UK" 1ac4faa0b772d6b608bc7cd3a5a6b530518e2c29,A face authentication system using the trace transform,"Informatics and Telematics Institute, CERTH, Thessaloniki, Greece" -1ad4981e51cb55e1ff3ffeedabc7e6ac22e77343,Marginal patch alignment for dimensionality reduction,"School of mathematics and statistics, Shaoguan University, Shaoguan, China" db20827ca6343eb46dfe9a207248c4d50f1d72fe,Single-Neuron Correlates of Atypical Face Processing in Autism,1 db20827ca6343eb46dfe9a207248c4d50f1d72fe,Single-Neuron Correlates of Atypical Face Processing in Autism,2 db20827ca6343eb46dfe9a207248c4d50f1d72fe,Single-Neuron Correlates of Atypical Face Processing in Autism,3 db20827ca6343eb46dfe9a207248c4d50f1d72fe,Single-Neuron Correlates of Atypical Face Processing in Autism,4 db20827ca6343eb46dfe9a207248c4d50f1d72fe,Single-Neuron Correlates of Atypical Face Processing in Autism,5 db20827ca6343eb46dfe9a207248c4d50f1d72fe,Single-Neuron Correlates of Atypical Face Processing in Autism,6 -dbb1871efda531c5340a49e147173c374d069ad1,Deep learning based FACS Action Unit occurrence and intensity estimation,"Vicarious Perception Technologies, Amsterdam, The Netherlands" db989600b1857cea9abd14dba9c10808030c7d33,Delving Deep into Personal Photo and Video Search,"Yahoo Research, New York City, NY, USA" db989600b1857cea9abd14dba9c10808030c7d33,Delving Deep into Personal Photo and Video Search,"Yahoo Research, Sunnyvale, CA, USA" -db412dcee9aba0615d7972fdee55655061ed0178,Crowd Violence Detection Using Global Motion-Compensated Lagrangian Features and Scale-Sensitive Video-Level Representation,"Technische Universität Berlin, Berlin, Germany" -db412dcee9aba0615d7972fdee55655061ed0178,Crowd Violence Detection Using Global Motion-Compensated Lagrangian Features and Scale-Sensitive Video-Level Representation,"Zuse Institute Berlin, Berlin, Germany" dbaa466fa6b9c107307fdfb60a9a0c74db0dab38,Investigation of the hostile attribution bias toward ambiguous facial cues in antisocial violent offenders,"Department of Clinical Psychology and Psychotherapy, University of Tübingen, Tübingen, Germany" -db9ef28cc3531a27c273d769e1b1d6b8aeff2db4,Linguistic descriptors in face recognition: A literature survey and the perspectives of future development,"Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, ul. Konstantynów 1H, 20-708, Poland" -dbf6a25d10a312b38b862fd88f6cec9ed71400dc,Improved YOLOv2 Object Detection Model,"School of Computer and Communication, LanZhou University of Technology, LanZhou, China" db9f80948fced4926b09556aea4acb726951819b,Semi-supervised learning of sparse representations to recognize people spatial orientation,"DIBRIS - Università degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)" dbc3ab8c9f564f038e7779b87900c4a0426f3dd1,Eye localization for face matching: is it always useful and under what conditions?,"Philips Research Eindhoven, Eindhoven, Netherlands" dbc3ab8c9f564f038e7779b87900c4a0426f3dd1,Eye localization for face matching: is it always useful and under what conditions?,"Philips Applied Technologies, Eindhoven, Netherlands" dbfec5e1f8543db1f85fba2d212c17f1f41190ce,Privacy enhancing technologies in video surveillance applied to JPEG2000 codestreams,"Department of Computer Sciences, University of Salzburg J.-Haringerstr.2, 5020 Salzburg, Austria" -dbf86aca1b92ffda84110864a7ce9fcfde9f5f52,A compact discriminative representation for efficient image-set classification with application to biometric recognition,"Computer Science & Software Engineering The University of Western Australia 35 Stirling Highway, Crawley, WA, Australia" dbf2ffd4ceb7714dacda92fb7c9b0f962235587e,Pedestrian tracking in infrared from moving vehicles,"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Gutleuthausstrasse 1, 76275 Ettlingen, Germany" -dba7817a9bd4893058e83c29581cb77a12f122a9,Post-aggregation stereo matching method using Dempster-Shafer theory,"Laboratoire d'Informatique de Traitement de l'information et des Systemes(LITIS) Avenue de l'Universite-BP08, 76801, Saint-Etienne du Rouvray, France" db58b4a053c2bb1f7681fd479e8dcdbff42cc6cd,Gaze latent support vector machine for image classification,"Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France" db326135c998b7f1f6ae61de015f09e90206d3ff,Real-time integrated face detection and recognition on embedded GPGPUs,"School of Electrical and Computer Engineering, University of Seoul, Seoul, Korea" -db6cc1ccbc517f86d39e446792ce7d84b935d899,3D face recognition using the Surface Interpenetration Measure: A comparative evaluation on the FRGC database,"IMAGO Research Group - Universidade Federal do Paraná, P.O. Box 19092, 81531-980, Curitiba - PR, Brasil" dbbba520c98308df34b69ba74fa033292662f9f1,A convolutional neural network based on TensorFlow for face recognition,"School of Information Science & Engineering, Lanzhou University" -dbbba520c98308df34b69ba74fa033292662f9f1,A convolutional neural network based on TensorFlow for face recognition,"Technical Reconnaissance Detachment of Public Security Bureau Lanzhou, Lanzhou, China" db43367d687cab574e791f1442cc5a088859a744,Robust SIFT for dark face images recogntition,"TLSI Department, NTIC faculty, University of Constantine 2, Algeria" db43367d687cab574e791f1442cc5a088859a744,Robust SIFT for dark face images recogntition,"LIRE Laboratory, University of Constantine 2, Algeria" -dbe64cf1c505ca5ccd0f8ad914bc0eca97e44e8b,GEINet: View-invariant gait recognition using a convolutional neural network,"Osaka Electro-Communication University, 18-8 Hatsucho, Neyagawa, Japan" dba7d8c4d2fca41269a2c96b1ea594e2d0b9bdda,Largest Matching Areas for Illumination and Occlusion Robust Face Recognition,"School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K." -dbcfefa92edab8d1ffe8bc1cc66ad80fb13d2b6a,Feature extraction using maximum variance sparse mapping,"College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China" -dbcfefa92edab8d1ffe8bc1cc66ad80fb13d2b6a,Feature extraction using maximum variance sparse mapping,"Key Lab Complex System & Intelligence Science, Institute of Automation, Chinese Academy of Science, Beijing, China" dbee5b3340573d478244fb6ff4ddaa989dd11d50,Efficient design of Local Binary Pattern for image retrieval,"Information and Communication Engineering, Rajshahi University" dbee5b3340573d478244fb6ff4ddaa989dd11d50,Efficient design of Local Binary Pattern for image retrieval,"Computer Science and Engineering, Rajshahi University of Engineering and Technology" e8a4e3b3af90c84ebd6c40ad759a80729a81230d,Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles,"Research & Innovation Center, Ford Motor Company" e813691808adcd7a0151fea51313dce9954de8a6,Automatic bone detection and soft tissue aware ultrasound–CT registration for computer-aided orthopedic surgery,"ImFusion GmbH, Munich, Germany" e813691808adcd7a0151fea51313dce9954de8a6,Automatic bone detection and soft tissue aware ultrasound–CT registration for computer-aided orthopedic surgery,"Computer Aided Medical Procedures (CAMP), TU Munich, Munich, Germany" e813691808adcd7a0151fea51313dce9954de8a6,Automatic bone detection and soft tissue aware ultrasound–CT registration for computer-aided orthopedic surgery,"Synthes GmbH, Langendorf, Switzerland" -e817bb5ede09cb7feb4acff3cbcda9366598d253,Video Emotion Recognition using Hand-Crafted and Deep Learning Features,"NPU-VUB Joint AVSP Research Lab, School of Computer Science, Northwestern Polytechnical, University (NPU) Shaanxi Key Lab on Speech and Image Information Processing 127 Youyi Xilu, Xi’an, 710072, China" -e817bb5ede09cb7feb4acff3cbcda9366598d253,Video Emotion Recognition using Hand-Crafted and Deep Learning Features,"Samsum R&D, Institute China-Beijing, Floor 18, Sun Palace Building, 12A Sun Palace Road, Chaoyang District, Beijing, 100020, China" e817bb5ede09cb7feb4acff3cbcda9366598d253,Video Emotion Recognition using Hand-Crafted and Deep Learning Features,"NPU-VUB Joint AVSP Research lab, Vrije Universiteit Brussel(VUB), Pleinlaan 2, Brussels, 1050, Belgium" e8a083eb52e09f12b5cb0c7ffac03d368d447b20,Object detection in images using artificial neural network and improved binary gravitational search algorithm,"Department of Electrical engineering, Graduate university of Advanced Technology, Kerman, Iran" e8a150b743d487e9dbf6e023b0928f03b2c39aef,End-to-end temporal attention extraction and human action recognition,"Luoyang Electro-Optical Equipment Research Institute, Luoyang, People’s Republic of China" e890ed30b4204b7294cdc291de7cb37a0c860f44,Modeling and identification of group motion via compound evaluation of positional and directional cues,"Intelligent Robotics and Communication Laboratories, ATR, Japan" -e8767c07279240ec65b01c5c835e7b125d7baf3e,Implementation of ICA based score level fusion of iris and ear biometrics,"Dept. of IT CEC, Landran, Mohali, India" -e8767c07279240ec65b01c5c835e7b125d7baf3e,Implementation of ICA based score level fusion of iris and ear biometrics,"Dept. of CSE CEC, Landran, Mohali, India" e83aa5155451fdca2ae4ed669a37a6de98296006,Combining Multiple Cues for Visual Madlibs Question Answering,"Italian Institute of Technology, Milan, Italy" e835a8cf0c7046b409b16b6720b27769ad83269d,Intraclass Retrieval of Nonrigid 3D Objects: Application to Face Recognition,"Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece" e8def76dd702df44b0e1af7dbc0360bb7ef14562,Rendering Physically Correct Raindrops on Windshields for Robustness Verification of Camera-based Object Recognition,University of Tübingen e845e4da77080e61ccb785c21b2bfeb6fafc3806,Integrating adaptive neuro-fuzzy inference system and local binary pattern operator for robust retinal blood vessels segmentation,"Department of Computer Engineering, The University of Isfahan, Isfahan, Iran" e8db9f5b3ea405436dd5dcd247c85cacb5dd3969,Automatic tuning of hyperparameters for NMF-based face recognition system,"Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland" e80ac8c09bd1161c8709124d799a25b8af109224,Neural Information Processing,"Texas A&M University at Qatar, Doha, Qatar" -e8b197ada861f35d18024543196be65d4b0f8c97,Training-free moving object detection system based on hierarchical color-guided motion segmentation,"SPS-VCA, TU/e, 5600 MB Eindhoven, the Netherlands" e85fa1b3225ed2ab0f3c11879efc9d55aa996d2f,3D facial expression recognition using nonrigid CPD registration method,"SAGE, Advanced Systems in Electrical Engineering, Tunisia" e860db656f39d738050b5f3e0bf72724e6a4ad5c,Analysis of landmarks in recognition of face expressions,"Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, USA" e860db656f39d738050b5f3e0bf72724e6a4ad5c,Analysis of landmarks in recognition of face expressions,"Department of Statistics, University of Nebraska-Lincoln, Lincoln, USA" @@ -1922,37 +1132,19 @@ e8ff0d5d75221feba7f1aba066b2d596b7e7685b,3D face geometry analysis for biometric e8ff0d5d75221feba7f1aba066b2d596b7e7685b,3D face geometry analysis for biometric identification,"Department of Microelectronics and Computer Science, Lodz University of Technology, Lodz, Poland" e82a0976db908e6f074b926f58223ac685533c65,Audiovisual synchrony assessment for replay attack detection in talking face biometrics,"Telecom Division, Centre de Développement des Technologies Avancées, Algiers, Algeria" e8d5e923e88bec3deec7fe5132932398d5dd9067,Towards culturally aware robot navigation,"More-Than-One Robotics Laboratory, University of Brunei Darussalam, Brunei Darussalam" -e8d5e923e88bec3deec7fe5132932398d5dd9067,Towards culturally aware robot navigation,Shenzhen Institute of Advanced Technology e86008f6aebd0ab26bdb69d2549b2e8454b8959c,A survey of deep face recognition in the wild,"Department of Computer Science & Information Engineering, Shu-Te University, Taiwan" e82e551757a4915d9cb9c989fea7226ef3b72fe3,Facial Features Based Prediction of Parkinson's Disease,Cummins College of Engineering for Women e8420101f54438859ca5cf85ecee01b265bb1568,Robust Generalized Low Rank Approximation of Matrices for image recognition,"Université de Jendouba, Faculté des Sciences Juridiques, Economiques et de Gestion de Jendouba, Tunisia" -e8420101f54438859ca5cf85ecee01b265bb1568,Robust Generalized Low Rank Approximation of Matrices for image recognition,"Dhofar University, Oman" e8b616e244c6f51d925751a6fe2f11e488f986b7,Object Detection in Remote Sensing Images with Center Only,"DTIS, ONERA, Université de Paris Saclay, Palaiseau, F-91123, France" -899924764816c2c68d15d964a24f4fddba8d3b29,Gender classification using selected independent-features based on Genetic Algorithm,"School of information engineering, university of science and technology, Beijing, 100083, China" 8959e0e9a24c0fe79f3fd3acca9d139edc0abcfd,Appearance based gender classification with PCA and (2D)2 PC A on approximation face image,"Pandit Dwarka Prasad Mishra and Indian Institute of Information Technology, Design & Manufacturing, Jabalpur - 482 005" 89f5eade7955507ea033770d92b995a6c48627c3,A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition,"Department of Science Program, Texas A&M University at Qatar, Doha, Qatar" -89f680a78d118f14753056496dd26059ca08a6c7,A Modified MDP Algorithm for Multi-Pedestrians Tracking,"National University of Defense Technology University, College of Intelligent Science, Changsha, China" -89f108814e97bb63030b4711d46413bfe39197b3,Self-Validation for Automotive Visual Odometry,"Control Methods & Robotics Lab, TU Darmstadt, Germany" -89e23ad356db842dbc23446c062af2a0d735b096,An improved locality sensitive discriminant analysis approach for feature extraction,"Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, China" -89e23ad356db842dbc23446c062af2a0d735b096,An improved locality sensitive discriminant analysis approach for feature extraction,"School of Mathematics and Statistics, Northeast Normal University, Changchun, China" -89e23ad356db842dbc23446c062af2a0d735b096,An improved locality sensitive discriminant analysis approach for feature extraction,"National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, China" 894ad7efafa1b40438ca1ffc7c76ee6694e136d4,Ceiling analysis of pedestrian recognition pipeline for an autonomous car application,"Mobile Robotics Lab (LabRoM), São Carlos School of Engineering (EESC), University of São Paulo, Av. Trabalhador Sancarlense 400, Brazil" -89a9f4faa9a24690e140542be3c5db4a0db5648b,"$\mathsf{CHOAMP}$ : Cost Based Hardware Optimization for Asymmetric Multicore Processors","IIT Madras, Adyar, Chennai, Tamil Nadu, India" -89a9f4faa9a24690e140542be3c5db4a0db5648b,"$\mathsf{CHOAMP}$ : Cost Based Hardware Optimization for Asymmetric Multicore Processors","Intel Labs, Banglore, Karnataka, India" 891dcefdcc89a6e5784393d5ec550ecd75ce1cda,Detecting siblings in image pairs,"DAUIN, Politecnico di Torino, Turin, Italy" 89588a697c8b81e38d3793db5055a65c4abc4845,Swap Retrieval: Retrieving Images of Cats When the Query Shows a Dog,"KULeuven, Leuven, Belgium" 8964524580ea2cff41a6b5858b623788bbefb8a4,A simple and improvable method for face region extraction,"International Computer Institute, Ege University, Izmir, Turkey" 890291bc2367e802fca871d67880bdc4a05374cf,Modeling Characteristics of Location from User Photos,"Centrum Wiskunde & Informatica, Amsterdam, Netherlands" 890a4a3f7006a39b614d8836d67cc46a6a2a36c9,Multi-scale score level fusion of local descriptors for gender classification in the wild,"SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain" -89896474f007c99f5967bcc05a952654a3bbb736,Face recognition using local features by LPP approach,"Dept. of Biomedicai Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India" -89896474f007c99f5967bcc05a952654a3bbb736,Face recognition using local features by LPP approach,"Dept. of Electronics & Instrumentation Engineering, University B.D.T. College of Engineering, Davanagere, Karnataka, India" -89896474f007c99f5967bcc05a952654a3bbb736,Face recognition using local features by LPP approach,"Microelectronics and Control Systems, PES Institute of Technology Bangalore, Karnataka, India" 899f72a312a4ff21842124780ede7e6f585a2a47,Curvature-based curb detection method in urban environments using stereo and laser,"Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid, Spain" -899f72a312a4ff21842124780ede7e6f585a2a47,Curvature-based curb detection method in urban environments using stereo and laser,"Institute of Measurement and Control Systems at Karlsruhe Institute of Technology, Karlsruhe, Germany" -892b845bbd1b2eba8d014c852ab5b8a8dced8efe,Representation of Pose Invariant Face Images Using SIFT Descriptors,"Modelling and Digital Science, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa" -89efe00633f660b75ef32aa246b36efd85619da1,Toward Optimal Manifold Hashing via Discrete Locally Linear Embedding,"BestImage Lab, Tencent Co., Ltd., Shanghai, China" -895d366c5d9c544661cb1de060c5c6b8a2990b87,An efficient object recognition based on Gabor transform and LBP variance,"Dept. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, China" -895d366c5d9c544661cb1de060c5c6b8a2990b87,An efficient object recognition based on Gabor transform and LBP variance,"Dept. School of Optoelectronic Information, University of Electronic Science and Technology of China Chengdu, China" 89ceaf90a5cd5b4ec15e8f15b2a3befd81dd5f2a,Canonical Correlation Analysis with Common Graph Priors,"ECE Dept. and Digital Tech. Center, Univ. of Minnesota, Mpls, MN, 55455, USA" 899ff288be86ac85133c73cdca3ea20639934e6d,Detection & identification of human body using FA based algorithms,"Department of Computer Science, St Joseph Engineering College, Vamanjoor, Mangaluru" 89a7cafc8b001a95373cafc71ca166d9df231385,Accurate person tracking through changing poses for multi-view action recognition,"Raytheon BBN Technologies, Cambridge, MA" @@ -1963,35 +1155,20 @@ e8b616e244c6f51d925751a6fe2f11e488f986b7,Object Detection in Remote Sensing Imag 89d38db614621e925756db6e9b068fefd812d4a1,A survey on facial expression recognition in 3D video sequences,"Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece" 89d38db614621e925756db6e9b068fefd812d4a1,A survey on facial expression recognition in 3D video sequences,"Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway" 892400017e5c93611dc8361e7749135520d66f25,A comparative study of age-invariant face recognition with different feature representations,"School of Electrical and Electronic Engineering, Singapore" -89a1e42f645c657510eef13c151851f945eb3681,Assessment of Binary Coding Techniques for Texture Characterization in Remote Sensing Imagery,"Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil" -89c57aab49ceb3c2b939e61f44ecc93257b3ce1b,Robust face recognition based on weighted DeepFace,"Department of Computer Engineering Faculty of Engineering, NPU" 89c57aab49ceb3c2b939e61f44ecc93257b3ce1b,Robust face recognition based on weighted DeepFace,"Department of Computer Engineering Faculty of Engineering, MUT" -8984bab6e9523b65cd8c482236eea0af8eb88743,Exploiting Texture Cues for Clothing Parsing in Fashion Images,Staqu Technologies 8990f8ea6441f97597429686542b9cdc46ed47de,Interactions with recognized patients using smart glasses,"iHomeLab, Lucerne University of Applied Sciences and Arts, Switzerland" -f16599e4ec666c6390c90ff9a253162178a70ef5,Linguistic Patterns and Cross Modality-based Image Retrieval for Complex Queries,"BITS Pilani, Pilani , India" -f16599e4ec666c6390c90ff9a253162178a70ef5,Linguistic Patterns and Cross Modality-based Image Retrieval for Complex Queries,"BITS Pilani, India , India" f18b33e9a9138d6e5226e3f70051a845d5a96941,Dynamic partial reconfiguration of 2-D Haar wavelet transform (HWT) for face recognition systems,"Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia" -f18b33e9a9138d6e5226e3f70051a845d5a96941,Dynamic partial reconfiguration of 2-D Haar wavelet transform (HWT) for face recognition systems,"Nanotechnology and Integrated Bio-Engineering Centre (NIBEC), Faculty of Computing and Engineering, University of Ulster (Jordanstown campus), Northern Ireland" f18b33e9a9138d6e5226e3f70051a845d5a96941,Dynamic partial reconfiguration of 2-D Haar wavelet transform (HWT) for face recognition systems,"School of Electronic, Electrical Engineering and Computer Science, The Queens University, Belfast, Northern Ireland" -f1cc060b6adcca3f8130e8670230899160d26848,Partial Data Ear Recognition From One Sample per Person,"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China" -f19f875c535b940cc642f5366925e92ac3caac97,A deep learning approach for the forensic evaluation of sexual assault,"INESC TEC, Universidade do Porto, Porto, Portugal" -f19f875c535b940cc642f5366925e92ac3caac97,A deep learning approach for the forensic evaluation of sexual assault,"Institute of Forensic Medicine, University of Southern Denmark, Odense, Denmark" f174dbcc50436437e6bbd4139d0947138a362a7f,Bridging the Aesthetic Gap: The Wild Beauty of Web Imagery,"Bell Labs, Cambridge, United Kingdom" -f174dbcc50436437e6bbd4139d0947138a362a7f,Bridging the Aesthetic Gap: The Wild Beauty of Web Imagery,"Yahoo, Sunnyvale, CA, USA" f1d3e4aaa37dbd7996a0bbc2ac6015e4d0b2c687,Machine Learning Interface for Medical Image Analysis,"Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, USA" f1d3e4aaa37dbd7996a0bbc2ac6015e4d0b2c687,Machine Learning Interface for Medical Image Analysis,"Department of Radiology, Mount Sinai West, New York, USA" f17d8f14651c123d39e13a39dc79b7eb3659fe68,An adaptive training based on classification system for patterns in facial expressions using SURF descriptor templates,"National University of Computer and Emerging Sciences, Islamabad, Islamabad, Pakistan" f17d8f14651c123d39e13a39dc79b7eb3659fe68,An adaptive training based on classification system for patterns in facial expressions using SURF descriptor templates,"College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia" f19bf8b5c1860cd81b5339804d5db9e791085aa7,Video action classification using symmelets and deep learning,"Department of Computer Science and Engineering, National Taiwan Ocean University, No.2, Beining Rd., Keelung 202, Taiwan" -f1f3ecbcd46fb5ac2731ca118b61a4e3c9a429ea,Automatic Refinement Strategies for Manual Initialization of Object Trackers,"School of Automation, Beijing Institute of Technology, Beijing, China" f1ea8bdb3bd39d8269628bc7b99b2d918ea23ef7,Human features extraction by using anatomical and low level image descriptors from whole body images,"Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia" f152b6ee251cca940dd853c54e6a7b78fbc6b235,Skybiometry and AffectNet on Facial Emotion Recognition Using Supervised Machine Learning Algorithms,"Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Lyceum of the Philippines University - Laguna, Calamba City Philippines" -f152b6ee251cca940dd853c54e6a7b78fbc6b235,Skybiometry and AffectNet on Facial Emotion Recognition Using Supervised Machine Learning Algorithms,"Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines" -f152b6ee251cca940dd853c54e6a7b78fbc6b235,Skybiometry and AffectNet on Facial Emotion Recognition Using Supervised Machine Learning Algorithms,"Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines, Oriental Mindoro, Philippines and John Paul College MG Andaya Compound, Oriental, Mindoro, Philippines" -f152b6ee251cca940dd853c54e6a7b78fbc6b235,Skybiometry and AffectNet on Facial Emotion Recognition Using Supervised Machine Learning Algorithms,"Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Asiatech College, City of Sta. Rosa, Laguna, Philippines" f1ecb4a14f1f30012ec8b70ec39882888f29b07e,Motion Deblurring for Pedestrian Crossing Detection in Advanced Driver Assistance System,"Department of Information Technology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore-46" f1ecb4a14f1f30012ec8b70ec39882888f29b07e,Motion Deblurring for Pedestrian Crossing Detection in Advanced Driver Assistance System,"Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore" -4085e77b15bd340d9e18be651b37e7790f676cd0,Image and Graphics,"UNSW, Sydney, Australia" 40c9dce0a4c18829c4100bff5845eb7799b54ca1,Expression-invariant facial identification,"School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia" 40c9dce0a4c18829c4100bff5845eb7799b54ca1,Expression-invariant facial identification,"School of Software, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia" 40b193d7fe51bd2ca5240d280a0fd5fe1dd6eb0e,Object-based on-line video summarization for internet of video things,"Academia Sinica, Taiwan" @@ -2003,35 +1180,17 @@ f1ecb4a14f1f30012ec8b70ec39882888f29b07e,Motion Deblurring for Pedestrian Crossi 405453a0ec8b66ececc9f51bd7a3fbd6e2fb80cf,Recurrent Neural Networks on Drifting Time-of-Flight Measurements,"Programming Systems Group (Informatics II), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany" 405453a0ec8b66ececc9f51bd7a3fbd6e2fb80cf,Recurrent Neural Networks on Drifting Time-of-Flight Measurements,"Institute of Information Technology (Comm. Electronics), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany" 405453a0ec8b66ececc9f51bd7a3fbd6e2fb80cf,Recurrent Neural Networks on Drifting Time-of-Flight Measurements,"Precise Positioning and Analytics Department, Fraunhofer Institute for Integrated Circuits IIS Nürnberg, Nürnberg, Germany" -40854850a1ca24d9f1e62f2a0432edcbb5633f76,Feature extraction based on fuzzy bidirectional maximum margin criterion for face recognition,"Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, China" -40854850a1ca24d9f1e62f2a0432edcbb5633f76,Feature extraction based on fuzzy bidirectional maximum margin criterion for face recognition,"School of mechanical and power engineering, Hennan Polytechnic University, Jiaozuo, China" -40b886e29d3e553d4ecbaa7945a75e709e0d5699,The Viola-Jones algorithm performance enhancement for a person's face recognition task in the long-wave infrared radiation range,"Department of Electronic Measuring systems, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia" 400e6c777d5894db2f6538c8ebd1124352b1c064,Improving action units recognition using dense flow-based face registration in video,"Center for Research in Intelligent Systems, University of California Riverside, 92521, US" 402dc9ca10b92e848741991256d8b53d220d6be5,Illumination normalization of facial images by reversing the process of image formation,"Umm Al-Qura University, Makkah, Saudi Arabia" 4014e8c1a1b49ad2b9b2c45c328ec9f1fd56f676,ADL: Active dictionary learning for sparse representation,"Vulcan Inc, Seattle, WA 98104" 4014e8c1a1b49ad2b9b2c45c328ec9f1fd56f676,ADL: Active dictionary learning for sparse representation,"Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881" 40c97adda90fd7d678fb3e614f2ac3acbfab6d9d,FAMOS: a framework for investigating the use of face features to identify spontaneous emotions,"DIMAp/UFRN, Natal, Brazil" -401918cb0bfc23b900594fd94a57182a5b4f530a,Visual Servo Regulation of Wheeled Mobile Robots With an Uncalibrated Onboard Camera,"School of Electrical Engineering and Automation, Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin, China" -401918cb0bfc23b900594fd94a57182a5b4f530a,Visual Servo Regulation of Wheeled Mobile Robots With an Uncalibrated Onboard Camera,"Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China" -403537a81f9c295ab5770fd82abe4f7542be9200,Driver Pose Estimation by Hybrid Convolutional Network Architecture,"National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, Shaanxi, 710049, China" -406c5aeca71011fd8f8bd233744a81b53ccf635a,Scalable softmax loss for face verification,"College of Information Engineering China Jiliang University, Hangzhou, China 310018" -405ff96909968c6de716c9a650c8f27aa5b336b0,An Unconstrained Face Detection Algorithm Based on Visual Saliency,"Department of Communication Engineering, Nanjing Institute of Technology, Nanjing, China" -405ff96909968c6de716c9a650c8f27aa5b336b0,An Unconstrained Face Detection Algorithm Based on Visual Saliency,"Jiangsu Province Traditional Chinese Medicine Hospital, Nanjing, China" -406d9f9ab1f1e9fc431a09f4567c4b3dd0aaa711,Multimodal Alignment of Videos,"Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria" -402979eccaf4580a57843521fef46a0c46a53b51,Robust face recognition method based on SIFT features using Levenberg-Marquardt Backpropagation neural networks,"Department of Electrical and Electronics Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, India" -402979eccaf4580a57843521fef46a0c46a53b51,Robust face recognition method based on SIFT features using Levenberg-Marquardt Backpropagation neural networks,"Department of Electronics and Instrumentation, Birla Institute of Technology and Science, Pilani, India" 05d3657ef0a94f1d0ad8291d8f2fb3b22aac782a,Image Super-Resolution Via Sparse Representation,"Visual Computing Group, Microsoft Research Asia" 05d3657ef0a94f1d0ad8291d8f2fb3b22aac782a,Image Super-Resolution Via Sparse Representation,"Visual Computing Group, Microsoft Research Aisa" -05f1c38ae248e626be99354db4b7fb7f7289bd1e,Multi-scale Local Binary Pattern histogram for gender classification,"College of Information Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China" -05f1c38ae248e626be99354db4b7fb7f7289bd1e,Multi-scale Local Binary Pattern histogram for gender classification,"College of Computer Science and Technology, Guizhou University, Guiyang, China" -05962afc7380a1e13a99534979d3e5905978f27d,Fast traffic scene segmentation using multi-range features from multi-resolution filtered and spatial context channels,"Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj-Napoca, Romania" 052fb35f731680d9d4e7d89c8f70f14173efb015,A Survey on Mobile Social Signal Processing,"Intel Labs Europe, Pipers Way, Swindon" -0532cbcf616f27e5f6a4054f818d4992b99d201d,Class specific centralized dictionary learning for face recognition,"College of Information and Control Engineering, China University of Petroleum, Qingdao, China" 050e7b494d78b511fe2f1f5feeacc4289bcb4e80,Detection of pedestrian crossing road,"Graduate School of Electrical and Computer Engineering, University of Ulsan, Ulsan 680-749, Korea" 05531fda7a82b18c42c7ae9d053349fdb8281b33,Image Annotation by Multiple-Instance Learning With Discriminative Feature Mapping and Selection,"Center for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia" 050fde74ccc9ca2e9a66f1fc8b9373bc908f2bc9,An audiovisual patient identification system for rehabilitation,"University of Texas, Arlington" -05c5134125a333855e8d25500bf97a31496c9b3f,Robust Multi-Modal Cues for Dyadic Human Interaction Recognition,"University of Tunis El Manar, Tunis, Tunisia" -05ad1b2d94e25b14ab026abd09f59fe65d1586a8,Two-Level Bimodal Association for Audio-Visual Speech Recognition,"Multimedia Signal Processing Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland" 0585a2f480e9fed934e415bee8e03e5e13abf035,A Novel Linelet-Based Representation for Line Segment Detection,"Departments of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD" 05fb0bb667e01eb118c5d91ef47c2e69f9be2f9f,Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images,"Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia" 05fb0bb667e01eb118c5d91ef47c2e69f9be2f9f,Multi scale entropy based adaptive fuzzy contrast image enhancement for crowd images,"UTM-IRDA Digital Media Centre, Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia" @@ -2044,115 +1203,77 @@ f1ecb4a14f1f30012ec8b70ec39882888f29b07e,Motion Deblurring for Pedestrian Crossi 0547c44cb896e1cc38130ae8cc6b04dc21179045,Fast-Match: Fast Affine Template Matching,"Weizmann Institute, Rehovot, Israel" 0547c44cb896e1cc38130ae8cc6b04dc21179045,Fast-Match: Fast Affine Template Matching,"Yahoo Research Labs, Haifa, Israel" 05b9c1ad0cfe1bdb68f470492c9a593bf78d5192,Temporal Localization of Actions with Actoms,"LEAR team, Montbonnot" -05ff2975863bc9f7b16f2c0b85a1d17f8b76cdb3,Three-level face features for face recognition based on center-symmetric Local Binary Pattern,"Department of Software Engineering, ChongQing College of Electronic Engineering, China" 0553c6b9ee3f7d24f80e204d758c94a9d6b375d2,Face identification from one single sample face image,"Dept. of Appl. Phys. & Electron., Umea Univ., Sweden" 05287cbad6093deffe9a0fdb9115605595dfeaf0,yBRIEF: A study of non-Gaussian Binary Elementary Features,"Neptec Design Group Ltd, Kanata, Ontario K2K 1Y5, Canada" 0599c0c33a99d6d261ed7e93a7f727ba8bfe0e0c,Computationally efficient scene categorization in complex dynamic environments,"Army Research Laboratory, Adelphi, Maryland, United States of America" -05a3f10b6cef0178f5d149ece2b0f08e8b6af7a8,A spindle model for contextual object detection,Institute of Image Transmission and Information Processing Shanghai Jiao Tong University 0534b58649818607a8ad31e6a63e4b1d37be16a5,Weakly supervised object detection with convex clustering,"ESAT-PSI / iMinds, KU Leuven, Belgium" 053ee4a4793f54b02dfabde5436fd7ee479e79eb,Landmark-based Facial Expression Parametrization for Sign Languages Avatar Animation,"Universidade Federal do Paraná, Curitiba, Brazil" 05270b68547a2cd5bda302779cfc5dda876ae538,Face recognition using Laplacianfaces,"Dept. of Comput. Sci., Chicago Univ., IL, USA" 05c9a18cc71a818196ca53fda88cbacf434d3ee9,Comparing two video-based techniques for driver fatigue detection: classification versus optical flow approach,"Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, Australia" -05c9a18cc71a818196ca53fda88cbacf434d3ee9,Comparing two video-based techniques for driver fatigue detection: classification versus optical flow approach,"Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia" -05c9a18cc71a818196ca53fda88cbacf434d3ee9,Comparing two video-based techniques for driver fatigue detection: classification versus optical flow approach,"Signal Network Technology Pty Ltd, Sydney, Australia" b8dc8b405ab941b9ca8313f08a6cdecae1124316,"Learning-Based, Automatic 2D-to-3D Image and Video Conversion","Google Inc., Mountain View, CA, USA" b8d4754813b88ef1a583da2fcd164398824d04db,A comparison of feature descriptors using monocular thermal camera images,"Neptec Design Group Ltd, Kanata, Canada" -b8494e587377ee718fa205438e4a7e9dae64024c,Activity recognition for asd children based on joints estimation,"School of Information and Control engineering, Liaoning Shihua University, China" -b85d0aef3ee2883daca2835a469f5756917e76b7,Semantic movie summarization based on string of IE-RoleNets,"Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education, Shenyang, China" b870b9298c4e982468163168f8a08b3d85dff035,Localization of pedestrian area from hybrid camera system,"Graduate School of Electrical Engineering, University of Ulsan, 133-791, Korea" -b88b57d52f6f16986381fa0ba9d5a1387886c157,Audio-visual tracking by density approximation in a sequential Bayesian filtering framework,"INRIA Grenoble Rhône-Alpes, France" -b8fb23610ce59509e926fe068281476deeaf5687,Learnable contextual regularization for semantic segmentation of indoor scene images,"Institute of Computer Vision, Nanchang Hangkong University" b8fb23610ce59509e926fe068281476deeaf5687,Learnable contextual regularization for semantic segmentation of indoor scene images,"School of Software, Nanchang Hangkong University" -b89fc897a5c538b2de462fb68bab4e588eab68f9,Fusion in multimodal biometric using iris and ear,"IT Department, SSN College of Engineering, Chennai, India" b81e765ee5acc1aaedb205e09318577e4f9c18c2,Learning local features for age estimation on real-life faces,"Philips Research, Eindhoven, Netherlands" b8c3e39e6c339e0348ded128b61e83b17e731d54,HOG and LBP: Towards a robust face recognition system,"ISPR Lab., Department of Computer Science, Faculty of Mathematics, Shahid Behshti University, Tehran, Iran" -b84787a4e89e93f7b003014202a3f5473ddd5938,A rotation invariant and realtime online template matching method for object detection,"Information and Science Technology Institute, Peking University Shenzhen Graduate School, Shenzhen, China" b8a670eb52db712d04ae00606a025edf63dc8a79,Did You See Me?: Assessing Perceptual vs. Real Driving Gains Across Multi-Modal Pedestrian Alert Systems,Virginia Tech -b84ccf1c07c6d2061c8aadaca3dfc4e7d41cc1c9,Dynamic Feature Matching for Partial Face Recognition,"People’s Public Security University of China, Beijing, China" b856d8d6bff745bb1b4beb67e4b821fc20073840,Joint dimensionality reduction for face recognition based on D-KSVD,"Research&Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai 201804, P.R China" b8f1d51fb48655ee38fc4634d016cffa817619ae,A Comparative Study of Matrix Completion and Recovery Techniques for Human Pose Estimation,"Institute of Computer Science, FORTH" b8771c3c3de2444b74e637f187e972eddd51506c,3D Facial Video Retrieval and Management for Decision Support in Speech and Language Therapy,"Universidade NOVA Lisboa, Caparica, Portugal" b8771c3c3de2444b74e637f187e972eddd51506c,3D Facial Video Retrieval and Management for Decision Support in Speech and Language Therapy,"Escola Superior de Saude de Alcoitão, Alcoitão, Portugal" -b8771c3c3de2444b74e637f187e972eddd51506c,3D Facial Video Retrieval and Management for Decision Support in Speech and Language Therapy,"Universidade NOVA Lisboa, Lisbon, Portugal" b8fbe0ef134220bed2a0a7fb583c04734d83ac7d,Kernel Entropy Component Analysis using local mean-based k-nearest centroid neighbour (LMKNCN) as a classifier for face recognition in video surveillance camera systems,"School of Electrical and Electronic Engineering, UniversitiSains Malaysia, USM Engineering Campus, 14300 NibongTebal, Pulau Pinang, Malaysia" b85b754ace15f4e9bee4ee76296580ddfbc3a11e,Facial expression recognition based on Gabor Wavelet transform and Histogram of Oriented Gradients,"University of Tokushima, Shinkuracho, 770-8501, Japan" b8711c88f5e7064e4626dea33e5dd1faedf78ef3,Benchmark face detection using a face recognition database,"Department of Electrical Engineering, 43 Sec.4 Keelung Rd., Taipei, Taiwan" -b881a0bb227052c6ac1f6f584b27ff05b778e937,Extension and FPGA architecture of the Generalized Hough Transform for real-time stereo correspondence,"Merses Center for Applied Research, Pforzheim University, Germany" b8d15b12418569089c786e3754e169bc43001644,Discriminative structure discovery via dimensionality reduction for facial image manifold,"Digital Technology International Group, Perth Airport, Australia" b866bafa296ae836726a8a1df78639ad9533623b,Occlusion detector using convolutional neural network for person re-identification,"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea" b85645681e976ad7a4800cabd316bfd3e0bee362,H-APF: Using hierarchical representation of human body for 3-D articulated tracking and action classification,"Computer Science Department, Technion - Israel Institute of Technology, Technion City, Haifa, Israel, 32000" b87abdb1b11b6b2dce1749bdd0b396796da7e7a6,Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study,"Cleveland Clinic, Cleveland, OH, USA" -b87abdb1b11b6b2dce1749bdd0b396796da7e7a6,Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study,"Baylor College of Medicine, Houston, TX, USA" -b82ffd6f490a6ff33908ad3370bbe18330a8243b,Stereoscopic scene flow estimation with global motion prior,"Department of Computer Science, Technical University of Cluj-Napoca, Romania" b86a3953682331302eeae1d977b1306038d4df53,Efficient image annotation for automatic sentence generation,"The University of Tokyo & JST PRESTO, Tokyo, Japan" b84dde74dddf6a3281a0b22c68999942d2722919,A New Approach of Facial Expression Recognition for Ambient Assisted Living,"LIARA Laboratory, University of Quebec at Chicoutimi (UQAC), Boulevard de l'Université, Chicoutimi (Quebec), Canada" 6782b148bd2de66cd73f3d69f481d40cce866fff,Robust relationship learning to illumination in a camera network,"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Republic of Korea" 67af3ec65f1dc535018f3671624e72c96a611c39,Safe binary particle swam algorithm for an enhanced unsupervised label refinement in automatic face annotation,"Department of Electronic Engineering, National Ilan University, Yilan City, Taiwan" 67af3ec65f1dc535018f3671624e72c96a611c39,Safe binary particle swam algorithm for an enhanced unsupervised label refinement in automatic face annotation,"Department of Information Management, Hwa Hsia University of Technology, New Taipei City, Taiwan" 67610fad509a008cf8e9e47b47cf8468b4f0a5f1,CalibMe: Fast and Unsupervised Eye Tracker Calibration for Gaze-Based Pervasive Human-Computer Interaction,"University of Tübingen, Tübingen, Baden-Württemberg, Germany" -67d7022462c98e6c5de9f2254b46f0b8d3b92089,Facial image database mining and classification analysis using different distance metrics,"Dept. of ECE, Institute of Road and Transport Technology, Erode-638 316, India" 67d7022462c98e6c5de9f2254b46f0b8d3b92089,Facial image database mining and classification analysis using different distance metrics,"P.P.G. Institute of Technology, Coimbatore" 67e19d93e3cccd08a93d3aaa964cad8bae99ce4b,Automatic and semi-automatic annotation of people in photography using shared events,"Computer Science Department, Federal University of Campina Grande, Paraiba, Brazil" 67e19d93e3cccd08a93d3aaa964cad8bae99ce4b,Automatic and semi-automatic annotation of people in photography using shared events,"Federal Institute of Education, Science and Technology of Paraiba -, Esperanca, Brazil" -6753d69f6b85839b3c7fb47b653b47b264679ad3,Learning with dataset bias in latent subcategory models,"Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Italy" 67b79c2336b9a2efbfc805b9a6912a0959e392a9,RANSAC-based training data selection for emotion recognition from spontaneous speech,"Koc University, Istanbul, Turkey" 67b79c2336b9a2efbfc805b9a6912a0959e392a9,RANSAC-based training data selection for emotion recognition from spontaneous speech,"Ozyegin University, Istanbul, Turkey" 674302298dc8f2dee16d85fd775e24a8537e8179,Pedestrian detection in images by integrating heterogeneous detectors,Institute for Information Industry -67faf6163bc7a9b29148add1950afe928719b361,Development of visual inspection systems for 3D printing,"Department of Automation and Remote Control; Perm National Research Polytechnic University; Perm, Russia" -6788099f9e6b165927dfbfa71065d4c37ac97f27,Eye color classification for makeup improvement,"Technical University of Cluj-Napoca, Department of Communication, C. Daicoviciu 15, Cluj-Napoca, Romania" -677172a408cd8378261a96d888a5cebf68193842,Face correction and recognition of multi-pose based on Gaussian process regression,"Harbin Institute of Technology Shenzhen Graduate School, China" 67eeaf667b5f948d763a8d2a7284b7a394145d12,Texture analysis of gradient images for benign-malignant mass classification,"Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam-788010" 67eeaf667b5f948d763a8d2a7284b7a394145d12,Texture analysis of gradient images for benign-malignant mass classification,"Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam-788010" 67eeaf667b5f948d763a8d2a7284b7a394145d12,Texture analysis of gradient images for benign-malignant mass classification,"Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA-10022" -670e2c9b18ad853e86fe402bb8161bc81e38887d,A biometrical data quality analysis method to reliably evaluate the efficiency of recognition algorithms and systems,"Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia" 67ef372d35382570d7a16488d5e2c6b8ef88677f,Towards Independent Stress Detection: A Dependent Model Using Facial Action Units,"Language Technologies Institute, Carnegie Mellon University Universidade NOVA Lisboa, Pittsburgh, USA" -673f17802bb99766407c70804c17357c3c448b6f,CAS(ME)$^2$ : A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition,"CAS Key Laboratory of Behavior Sciences, Institute of Psychology, Beijing, China" -673f17802bb99766407c70804c17357c3c448b6f,CAS(ME)$^2$ : A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition,"College of Teacher Education, Wenzhou University, Wenzhou, China" -6749db5ae9547d5fe0fb4c743c631eb5bac69d37,An adaptive clustering approach for group detection in the crowd,"School of Electrical and Information Engineering, Shanghai University of Electric Power, Shanghai, China 200090" 67693fb6179555722bc5553fd728162100384e68,Pedestrian detection from thermal images with a scattered difference of directional gradients feature descriptor,"Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan" 67693fb6179555722bc5553fd728162100384e68,Pedestrian detection from thermal images with a scattered difference of directional gradients feature descriptor,"Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan" -67ae7ee9557cb486d5e1129b9b24466ffb8c4766,More efficient and effective tricks for deep action recognition,"The Third Research Institute of the Ministry of Public Security, Shanghai, China" -3fcbf2e1e73d33041034647b243907a8101e0dfd,Pedestrian detection in traffic scenes using multi-attitude classifiers,"Technical University of Cluj-Napoca, Computer Science Department, Romania" 3f008ef45af7edd6473d164e3da2a8baa6f37ff0,Dynamical recursive feature elimination technique for neurophysiological signal-based emotion recognition,"Engineering Research Center of Optical Instrument and System, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China" 3f008ef45af7edd6473d164e3da2a8baa6f37ff0,Dynamical recursive feature elimination technique for neurophysiological signal-based emotion recognition,"School of Management, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China" 3f008ef45af7edd6473d164e3da2a8baa6f37ff0,Dynamical recursive feature elimination technique for neurophysiological signal-based emotion recognition,"Department of Automation, East China University of Science and Technology, Shanghai, People’s Republic of China" 3f930a1666f94440bf2bcfcfb963498ce8e12d78,Artificial neural network based automatic face parts prediction system from only fingerprints,"Gazi University, Engineering and Architecture Faculty, Computer Engineering Department, 06570 Ankara, Turkey" 3f930a1666f94440bf2bcfcfb963498ce8e12d78,Artificial neural network based automatic face parts prediction system from only fingerprints,"Erciyes University, Engineering Faculty, Computer Engineering Department, 38039 Kayseri, Turkey" -3f57498a6ddffa18225e6f10e9d5bc7f9bd24613,3D convolutional neural network for object recognition: a review,"Punjab Engineering College, Chandigarh, India" -3fb0a5517d6e855b7b7574394ff781194b72c7b4,Decision making in the LDA space: generalised gradient direction metric,"Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK" -3f4711c315d156a972af37fe23642dc970a60acf,Pose invariant face recognition with 3D morphable model and neural network,"KT Future Technology Laboratory, Seoul, South Korea" 3f089131d71321461f84a06064689b6daad951f6,Robust Part-Based Face Recognition Using Boosting and Transduction,"CleverSys. Inc., Isaac Newton Square, Reston, VA 20190, USA fayin.li@gmail.com" 3f04365f59ee8bced434ef82a04ab0aa0ff43cd6,Interactive feature visualization and detection for 3D face classification,"Dept of Computer & Information Science Indiana University-Purdue University Indianapolis, IN, United States" 3f04365f59ee8bced434ef82a04ab0aa0ff43cd6,Interactive feature visualization and detection for 3D face classification,"School of Medicine State University of New York Buffalo, NY, United States" -3f04365f59ee8bced434ef82a04ab0aa0ff43cd6,Interactive feature visualization and detection for 3D face classification,"Department of Child Neurology HUCH Hospital for Children and Adolescents Helsinki, Finland" 3f04365f59ee8bced434ef82a04ab0aa0ff43cd6,Interactive feature visualization and detection for 3D face classification,"School of Medicine Indiana University Indianapolis, IN, United States" -3f04365f59ee8bced434ef82a04ab0aa0ff43cd6,Interactive feature visualization and detection for 3D face classification,"Folkhalsan Research Center Helsinki, Finland" 3feecfc73e4b215664218852ca77ef26ff7af94c,Factorization towards a classifier,"Computer Vision and Image Understanding Department, Institute for Infocomm Research, Singapore" 3fffeda70f3d1a798ff5f1dbfcf5ecb30eaa5c4e,Skin information combined saliency detection for classifying objectionable images,"Video Surveillance Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea" 3f8fa9d4772d0b37deb98cbc9903da6cb754799a,From Clothing to Identity: Manual and Automatic Soft Biometrics,"Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia" 3f7ecfd3834d75411cf08ca17b0bc7ee0e96b6a3,A Gaussian Process Convolution Particle Filter for Multiple Extended Objects Tracking with Non-Regular Shapes,"University of Pretoria, Pretoria, South Africa" 3fdbfa10f6a640aace2c29593f1bf55daf70d6eb,Image similarity using the normalized compression distance based on finite context models,"Signal Processing Lab, IEETA / DETI University of Aveiro, 3810-193 Aveiro, Portugal" 3f95a5146d97480388b2f8d4ae189e4f7374e715,"Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection","Department of Electronic Engineering, the Chinese University of Hong KongHong Kong" -3f320fbdd5054961cc3766dd2b2ee22c4d4abe01,Robust object tracking via weight-based local sparse appearance model,"Department of Communication and Electronic Engineering, Hunan City University, Yiyang, China" 3fb7c5824fe8d3cb1ced8737b81f9e6fe5581612,Translation-Based KLT Tracker Under Severe Camera Rotation Using GPS/INS Data,"Laboratory for Sensor and Modeling, Department of Geoinformatics, University of Seoul, Seoul, Korea" 3f31863c0e094a80d4fda3f23a06b50f6e2ad192,Enabling Large-Scale Ground-Truth Acquisition and System Evaluation in Wireless Health,"Department of Electrical Engineering , University of California, Los Angeles (UCLA), Los Angeles, USA" 3fbff11afa17f4c6f13f52a944ff9588be52ae41,Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data,"Ocular Imaging Department, Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore" 3f549b21834844b5db1531670c34eb06e2c95e61,A Multi-Modal Approach to Sensing Human Emotion,"Stetson University, Computer Science" 3f549b21834844b5db1531670c34eb06e2c95e61,A Multi-Modal Approach to Sensing Human Emotion,"Florida Atlantic University, I-SENSE" 3f0b5ada4ad2090e788c40a8f6f33ed4fe539eee,Gaze classification on a mobile device by using deep belief networks,"POSTECH Pohang, Republic of Korea" -3f3acbe919d9324b379b13a0ba54d0035f2b5035,Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation,"NeuroRx Research, Montréal, Canada" 3f74b70e304a957655e2bedc360c4fe5fcd54318,Detecting objects of a category in range data by comparing to a single geometric prototype,"Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany" 3f0549b74ede40707e36fbd67f4a32a38569ad9c,Face localization and tracking in the neural abstraction pyramid,"Albert-Ludwigs-Universität Freiburg, Computer Science Institute, Freiburg, Germany" -3f4f1cabe336948b80c819b910581e0f338c4b4a,Gender classification of full body images based on the convolutional neural network,"Department of Computer Science, Chengdu University of Information Technology, Chengdu, China" 3f514fde39c78b98d4df0afd36bc9260db5f1225,A new 3D surface registration approach depending on a suited resolution: Application to 3D faces,"CRISTAL laboratory, GRIFT research group, National School of Computer Sciences (NSCS), La Manouba 2010, Tunisia" 3fee310b47f361e4d7c298679db411999847e375,Class redundancy for face recognition by SVM,"Université de Toulouse ; UTM-IUT de Figeac ; LRP-mip (Laboratoire de recherche pluridisciplinaire du nordest de Midi-Pyrénées) ; Avenue de Nayrac, F-46100, FIGEAC, France" -3ffd6531263bc1d0b7acd4a234a578c285f77917,Research on video face detection based on AdaBoost algorithm training classifier,"Yunnan Normal University, College of Information Science, Kunming, China" 3f764cbe8959a4df0ce844030b8c6c5935a71270,Dictionary learning based object detection and counting in traffic scenes,"Johnson Controls Inc., Milwaukee, Wisconsin" -3f17078de8d62246d2d28428d0d89a98a6652a29,Mean Laplacian mappings-based difference LDA for face recognition,"College of Computer and Information Engineering, Henan University, Kaifeng, China" 3f4da6250fa9cec60c76a44123bf37345d9c59d9,Clothing segmentation and recoloring using background subtraction and back projection method,"Institute for Infocomm Research, A∗STAR, Singapore" -3f50b80eca9d15b5626ec05062c48149e98ab3f5,hEYEbrid: A hybrid approach for mobile calibration-free gaze estimation,"German Research Center for Artificial Intelligence (DFKI GmbH), Saarland Informatics Campus, Saarbrücken, Germany" 3facbc62550097ca50498d09ffe5418e9d5e3cc4,Performance prediction and selection of aerial perception functions during UAV missions,"University of the Bundeswehr, Munich Werner-Heisenberg-Weg, 39 85577 Neubiberg, Germany" -6d838f3628dd3e8cdbc7da0b1b472c8c71eb0124,Multiple Neural Networks and Bayesian Belief Revision for a never-ending unsupervised learning,Università Politecnica delle Marche (Italy) 6dfe0dafb4ed4bcfce670f321e724682ab261060,Texture and Geometry Scattering Representation-Based Facial Expression Recognition in 2D+3D Videos,"LIRIS, Département Mathématiques Informatique, Ecole Centrale de Lyon, Ecully, France" 6d8eeae743d77b12be8760444724080a94d2e49c,Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images,"Adelaide University, Australia" 6d9164bc6a483ccb55284cddd9024bb8831dcc35,Complexity Reduced Face Detection Using Probability-Based Face Mask Prefiltering and Pixel-Based Hierarchical-Feature Adaboosting,"Department of Electrical and Computer Engineering, University of California, Santa Barbara" @@ -2160,157 +1281,87 @@ b84dde74dddf6a3281a0b22c68999942d2722919,A New Approach of Facial Expression Rec 6d4c64ca6936f868d793e1b164ddaf19243c19a7,Scalable Linear Visual Feature Learning via Online Parallel Nonnegative Matrix Factorization,"University of Massachusetts at Amherst, Amherst, MA, USA" 6d90a0ac9d015b911469663d505b2e3d8f75520f,A system for real-time detection and tracking of vehicles from a single car-mounted camera,"Advanced Technology division, Toyota Motor Europe, Japan" 6dba85c931592dc54ec1b8db08b2a723686bac54,BIT: Biologically Inspired Tracker,"Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia" -6dec0491f7f2ed1b1357d93d47ce5c082683401b,Detection of traffic signs in real-world images: The German traffic sign detection benchmark,"Institute for Neural Computation, University of Bochum, Germany" 6dc82921719319deb1a193febb0388b2f32cecb0,Automatic system for facial expression recognition based histogram of oriented gradient and normalized cross correlation,"University Sidi Mohamed Ben Abdellah, Faculty of Sciences and Technology, Laboratory of Renewable Energies and Intelligent Systems, Fez, Morocco" 6d67c2368650a65900b0d13c9ee9554dfdf8c03a,A pipelined multi-softcore approach for the HOG algorithm,"Federal Institute of São Paulo, Araraquara, Brazil" 6d67c2368650a65900b0d13c9ee9554dfdf8c03a,A pipelined multi-softcore approach for the HOG algorithm,"University of Porto, Portugal" -6d67c2368650a65900b0d13c9ee9554dfdf8c03a,A pipelined multi-softcore approach for the HOG algorithm,"University of São Paulo, São Carlos, Brazil" 6d2eed8d7a4dd2574a39bb0a497dc2cd1cae1bfc,Attention control with reinforcement learning for face recognition under partial occlusion,"Department of Electrical and Computer Engineering, Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran" 6d2eed8d7a4dd2574a39bb0a497dc2cd1cae1bfc,Attention control with reinforcement learning for face recognition under partial occlusion,"School of Cognitive Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran" 6d33cfc76f9febf45a8ce9ca4c78959340beaf6c,Generalized Transfer Subspace Learning Through Low-Rank Constraint,"Boston, USA" 6d33cfc76f9febf45a8ce9ca4c78959340beaf6c,Generalized Transfer Subspace Learning Through Low-Rank Constraint," Boston, USA" 6d4236a7a693555f701c0d149d1db89325035e23,AU measurements from cascaded Adaboost for driver drowsiness detection,"Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Pulau Pinang, Malaysia" 6dfd05ae49dd3b7ed372b2a02937670cb69dbc5d,Multi-omnidirectional cameras for ambient intelligence,"Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, 34342 Bebek, İstanbul, Turkey" -6d8a7399a195023f8546846231cc032342d0c622,Multimodal Facial Expression Recognition Based on Dempster-Shafer Theory Fusion Strategy,"School of Business Northwest Normal University, Lanzhou, China" -6d8a7399a195023f8546846231cc032342d0c622,Multimodal Facial Expression Recognition Based on Dempster-Shafer Theory Fusion Strategy,"College of Information Science and Technology Beijing Normal University, Beijing, China" 6d3d975bd07cd18434a637ce22c65c641f1c31a2,Semi-supervised online learning for efficient classification of objects in 3D data streams,"Dep. of Computer Science, Technical University of Munich, Boltzmannstrasse 3 85748 Garching, Germany" 6d9f13fee6668ae2844635fc5d47a1bb298268df,A Method for Estimating Walking Speed by Using Magnetic Signature to Grasp People Flow in Indoor Passages,"Graduate School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan" 6d9f13fee6668ae2844635fc5d47a1bb298268df,A Method for Estimating Walking Speed by Using Magnetic Signature to Grasp People Flow in Indoor Passages,"School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan" 6d28ba098f800caaa46d9273631135bd0318303a,A hierarchical Bayesian model for pattern recognition,"Department of Electrical Engineering & Computer Science, University of Kansas, Lawrence, 66045-7621, USA" 6dcf6b028a6042a9904628a3395520995b1d0ef9,Field support vector machines,"Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, P.R. China" -6d403c9ca96ace8f3f2ec6de8138cea365a76610,Audio-based emotion recognition using GMM supervector an SVM linear kernel,"Chonnam National University, Gwangju, South Korea" ee7c9e3d417df6234d64364c6922b12433e0de38,Face Detection and Gesture Recognition for Human-Computer Interaction,"Honda Fundamental Research Laboratories, Honda R&D Americas, Inc., USA" ee6e5a67c0504f77ec96121106ae88488da0536b,A new method for combined face detection and identification using interest point descriptors,"Department Of Computer Science, TU Dortmund" -eefeb9dea84320b1d9ae5997a2368516f42c2ce0,Pupil center detection for infrared irradiation eye image using CNN,"Kyushu Institute of Technology, Iizuka, Japan" -ee8a75b776f92e797856b3d9a8f2c02421e53ad5,Biometric hash: high-confidence face recognition,"Fac. of Inf. Sci. & Technol., Multimedia Univ., Melaka, Malaysia" -ee744ea13a0bbeba5de85ca3c75c9749054835e7,Skin color difference measurement between real faces and face images from display according to lighting ratio,"Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea" eefc06f6e6af1c2b9b33fb12bdaff73e19a31d6c,The IST-EURECOM Light Field Face Database,"Instituto de Telecomunicações, Instituto Superior Técnico - Universidade de Lisboa, Lisbon, Portugal" -ee2bb1a7f58b4c3735a52e7692e6293413d72dec,An architecture for the deployment of statistical models for the big data era,"Research and Technology Center, Robert Bosch LLC, Palo Alto, CA, USA" -eec6c05595cb4d3172fffcd2d2c8fe4358cf52f6,LS-GSNO and CWSNO Enhancement Processes Using PCA Algorithm with LOOCV of R-SM Technique for Effective Face Recognition Approach,"Department of Electronics and Communication Engineering, P.S.N. College of Engineering and Technology, Tirunelveli, India" eebbdbce4e84f14c217d4a09b7255860c5a6e0d5,Using face morphing to protect privacy,"Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland" -ee1f9637f372d2eccc447461ef834a9859011ec1,Optimized learning instance-based image retrieval,"College of Information Science & Technology, Hebei Agricultural University, Baoding, China" -ee1f9637f372d2eccc447461ef834a9859011ec1,Optimized learning instance-based image retrieval,"Standards & Metrology Research Institute of CARS, Beijing, China" -ee1f9637f372d2eccc447461ef834a9859011ec1,Optimized learning instance-based image retrieval,"No.1 Senior Middle School of Wendeng District, Weihai, China" ee1f9637f372d2eccc447461ef834a9859011ec1,Optimized learning instance-based image retrieval,"Lawrence Berkeley National Laboratory, Berkeley, USA" -ee46e391288dd3bc3e71cb47715a83dacb9d2907,Face expression recognition using integrated approach of Local Directional Number and Local Tetra Pattern,"Nesamony Memorial Christian College, Marthandam - 629165, Tamil Nadu, India" -ee15b67b606ff49cd17467b062c11441e3b2dd70,Deep Residual Feature Learning for Action Prediction,"Beijing Information Science and Technology University, Beijing Key Laboratory of Internet Culture and Digital Dissemination Research School of Computer Science, Beijing, China" -ee5fe44871f5e36998a2fdfb20a511374cdd3877,Image synthesis for sparse representation based multi-pose face recognition,"School of Mathematics and Physics, Anhui Jianzhu University, Hefei, China" ee897a827bfc03e4682fb77018c27ec29a063d2c,Facial expression recognition using ASM-based post-processing technique,"Division of Computer Engineering, Dongseo University, Busan, Korea" ee24d974dd3805e5d30c44c48b53a0ce23cc05f9,Application of rectangular features for the localization of fertile material in plant images,"Department of Electronic and Telecommunication Engineering, University of Moratuwa, Katubedda, Moratuwa, Sri Lanka" ee82b4ecfc16070177fb78b8befc95121ff35419,Object Recognition from very few Training Examples for Enhancing Bicycle Maps,"Institute for Information Processing, Leibniz University Hanover, Hanover, 30167, Germany" -be5975d5ac261f6224ad43e78d0f14bf17c3c941,Downsampling sparse representation and discriminant information aided occluded face recognition,"School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China" -be5975d5ac261f6224ad43e78d0f14bf17c3c941,Downsampling sparse representation and discriminant information aided occluded face recognition,"Automobile Transport Command Department, Military Transportation University, Tianjin, China" -bec0c33d330385d73a5b6a05ad642d6954a6d632,"Ranking, clustering and fusing the normalized LBP temporal facial features for face recognition in video sequences","Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi, India" -bec0c33d330385d73a5b6a05ad642d6954a6d632,"Ranking, clustering and fusing the normalized LBP temporal facial features for face recognition in video sequences","Department of Electrical & Electronics Engineering, Kalasalingam University, Krishnankoil, India" bee990f78c51444ffc87bd237fdb39f625fa4ab2,Human detection in digital videos using motion features extractors,"Universidade de Pernambuco (UPE), Recife, Brazil" -bea1ffedb87d7b0eb9cd4397b334b204fa450a84,Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image,"Samsung Electronics, Korea" -bea1ffedb87d7b0eb9cd4397b334b204fa450a84,Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image,"CASIA, China" -bea1ffedb87d7b0eb9cd4397b334b204fa450a84,Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image,"Dept. of EE, KAIST, Korea" -bed87f5eb70fd6dba86fce27562a7e4cb804cb66,Real-time combustion state identification via image processing: A dynamic data-driven approach,"Mechanical & Nuclear Engineering Department, Pennsylvania State University, University Park, 16802, USA" -be068ce0d5284dbd2c4c8ba4a31a41da2f794193,Video Classification via Relational Feature Encoding Networks,"Sun Yat-sen University & Sensetime, Guangzhou, China" be068ce0d5284dbd2c4c8ba4a31a41da2f794193,Video Classification via Relational Feature Encoding Networks,"Chinese University of Hong Kong, Hong Kong, Hong Kong" bea1958ecdcc5279672bed0f2ba8de5a84b0ce64,Towards reasoning based representations: Deep Consistence Seeking Machine,"Department of Software Technology and Methodology, Faculty of Informatics, Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest H-1117, Hungary" be4faea0971ef74096ec9800750648b7601dda65,Feature Analysis of Unsupervised Learning for Multi-task Classification Using Convolutional Neural Network,"School of Electronics Engineering, Kyungpook National University, Taegu, South Korea" -be9f60ec249bc57ee9d337060fb20bdb8a0729e7,Pupil centre coordinates detection using the circular Hough transform technique,"“Gheorghe Asachi” Technical University, Iaşi, Romania" -be9f60ec249bc57ee9d337060fb20bdb8a0729e7,Pupil centre coordinates detection using the circular Hough transform technique,"“Grigore T. Popa” University of Medicine and Pharmacy, Iaşi, Romania" -b55e70df03d9b80c91446a97957bc95772dcc45b,MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis,"GSI Universidad Polit-écnica de Madrid, Madrid, Spain" b55e70df03d9b80c91446a97957bc95772dcc45b,MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis,"Phonexia, Brno-Krlovo Pole, Czech Republic" b5667d087aafcf6b91f3c77aa90cee1ac185f8f1,3D convolutional neural network with multi-model framework for action recognition,"The Graduate Center, USA" b5667d087aafcf6b91f3c77aa90cee1ac185f8f1,3D convolutional neural network with multi-model framework for action recognition,"NVIDIA Research, Santa Clara, CA, USA" b58852921f43412f5ed1616135270572b5862107,Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies,"WILLOW Project-Team, INRIA, and Département d’Informatique, de l’Ecole Normale Supérieure, ENS/Inria/CNRS UMR 8548, Paris, France" -b58852921f43412f5ed1616135270572b5862107,Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies,"LEAR Project-Team, Inria Grenoble-Rhône-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France" b5c4056a8b07a050f70660720cf606a2e00dd7d7,Face Detection on real Low Resolution Surveillance Videos,"National University of San Agustin - UNSA, Arequipa - Peru" b5c4056a8b07a050f70660720cf606a2e00dd7d7,Face Detection on real Low Resolution Surveillance Videos,"Pontificia Universidad Católica del Perú -- Artificial Intelligence Research Group (IA-PUCP), Lima - Peru" b5817dc821447546c47bc549cf6676f5da78f570,Automatic extraction of upper human body in single images,"ATR Center, Wright State University, Dayton, Ohio" b5aa77cde8ac09bd821cfd34d0a0d1c12688779b,Human-Computer Interaction. Towards Intelligent and Implicit Interaction,"The Open University of Japan, Chiba-shi, Japan" b514e89249042899eafc890bf9815d2507b13d7e,A framework of joint object tracking and event detection,"Department of Electrical Engineering, Beckman Institute of Advanced Science and Technology, Urbana, USA" b528b8ec5c7b73ff8cb2962bcc4b10d94fd5dc42,Image recognition by learned linear subspace of combined bag-of-features and low-level features,"Omron corporation, Japan" -b50edfea790f86373407a964b4255bf8e436d377,Group emotion recognition with individual facial emotion CNNs and global image based CNNs,"SIAT at Chinese Academy of Sciences, China" b5979489e11edd76607c219a8bdc83ba4a88ab38,Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features,"Department of Computer Science, Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan" -b5b7f9cfa8f0ddabc850634912cdcd0ae6a79f62,Person re-identification using color enhancing feature,"Wakayama University, Sakaedani 930, Wakayama-City 640-8510, Japan" -b5b7f9cfa8f0ddabc850634912cdcd0ae6a79f62,Person re-identification using color enhancing feature,"RIKEN, 7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan" b5877c53c4bbb8b4090393c7c3f1b5ca34655cfa,Face recognition by distance and slope between facial landmarks,"Gaziosmanpaşa University Turkey, Tokat" b5877c53c4bbb8b4090393c7c3f1b5ca34655cfa,Face recognition by distance and slope between facial landmarks,"Karabuk University Turkey, Karabük" -b54ed594267ead88b99bed3230e0453f54d00873,Human Recognition by Appearance and Gait,"NRU Higher School of Economics, Moscow, Russia" b5d222b3105cf0d9c744efa3763b6718a5dfdbb3,Text independent speaker gender recognition using lip movement,"Graduate School of Informatics and Engineering, University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan" b5d222b3105cf0d9c744efa3763b6718a5dfdbb3,Text independent speaker gender recognition using lip movement,"Faculty of Environmental Engineering, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka, 808-0135, Japan" b5d222b3105cf0d9c744efa3763b6718a5dfdbb3,Text independent speaker gender recognition using lip movement,"Institute for Inforcomm Research 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" -b5db3a52a8d22d3a6cc3ea66f7babef7b8503f53,Visual fish tracking: Combining a two-stage graph approach with CNN-features,"Fulda University of Applied Sciences, Fulda, Germany" b5db3a52a8d22d3a6cc3ea66f7babef7b8503f53,Visual fish tracking: Combining a two-stage graph approach with CNN-features,"Friedrich Schiller University Jena, Jena, Germany" -b54200cc65046e1d29329bded3eaa741f45063e4,Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging,"Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China" -b54200cc65046e1d29329bded3eaa741f45063e4,Learning Deep Representations and Detection of Docking Stations Using Underwater Imaging,"RIKEN Center for AIP, Tokyo, Japan" b54886b291273482fdecc3e0dcd8ddce394ad7b3,Face recognition on FERET face database using LDA and CCA methods,"Department of Telecommunications and Multimedia, University of Zilina, Zilina, Slovakia" b5f9306c3207ac12ac761e7d028c78b3009a219c,Age estimation based on extended non-negative matrix factorization,"School of Computer Science and Software Engineering University of Wollongong, Australia" -b503793943a17d2f569685cd17e86b5b4fffe3fd,How popular CNNs perform in real applications of face recognition,"Faculty of Computer Engineering, Shahid Rajaee Teacher Training University. Shabanlou, Lavizan, Tehran, Iran" -b5ef9846d98a020bebddd05cbe5dfc4800d7e6aa,Pedestrian detection in surveillance videos based on CS-LBP feature,"Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary" b5ef9846d98a020bebddd05cbe5dfc4800d7e6aa,Pedestrian detection in surveillance videos based on CS-LBP feature,"Distributed Events Analysis, Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary" b5efe2e53aa417367314c1a907d0fe8053c71ecd,Enhanced face recognition through variation of Principle Component Analysis (PCA),"Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka" b5efe2e53aa417367314c1a907d0fe8053c71ecd,Enhanced face recognition through variation of Principle Component Analysis (PCA),"Department of Mechanical Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka" -297de30f507b32f9e692d1eb10859df4958867d5,Joint vanishing point extraction and tracking,"Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland" -29acb73f1aec78996d77eede7a7b72e892be9a84,Multitarget Tracking Using Hough Forest Random Field,"Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan, China" 29beac55634bde386498a00b4274ac947d89062f,A new approach of action recognition based on Motion Stable Shape (MSS) features,"Team of research SIIVA - RIADI laboratory, Institut supérieur d'informatique (ISI), Tunisia" 29beac55634bde386498a00b4274ac947d89062f,A new approach of action recognition based on Motion Stable Shape (MSS) features,"Team of research IMAGE- GREYC laboratory, université de Caen Basse Normondie, 14000 Caen, France" -291ce7be8daa99848bf13c32b237ad823d5738e9,Compressed projections for localization of landmarks in the eye region,"Image Processing and Analysis Laboratory (LAPI), University “Politehnica” of Bucharest, Romania" 29875d51da4063707a5e16a90493c69be6fcc006,UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring,"University at Albany, State University of New York, USA" -29875d51da4063707a5e16a90493c69be6fcc006,UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring,"National Research Council, Italy" -29875d51da4063707a5e16a90493c69be6fcc006,UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring,"Intel, Nizhny Novgorod, Russia" 29875d51da4063707a5e16a90493c69be6fcc006,UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring,"Technische Universität Berlin, Germany" 29875d51da4063707a5e16a90493c69be6fcc006,UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring,"OSRAM GmbH, Germany" 29875d51da4063707a5e16a90493c69be6fcc006,UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring,"University of Missouri Columbia, USA" -29875d51da4063707a5e16a90493c69be6fcc006,UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring,"Nanjing University of Posts and Telecommunications, China" -29875d51da4063707a5e16a90493c69be6fcc006,UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring,"National Electronics and Computer Technology Center, Thailand" 29659b6fc4dceb117cec687d8accda5f514080ed,Maximize contrast and compensation lighting of infrared images using the area of the eyes as pattern,"Grupo de Investigación en Desarrollos Tecnológicos (GIDET), Programa de Tecnología en Electrónica, Facultad de Ciencias Básicas y Tecnologías, Universidad del Quindío (Colombia)" 298a10dd069404f8846b5f82f46441385e7e4486,Joint Verification-Identification in end-to-end Multi-Scale CNN Framework for Topic Identification,"Department of Electrical and Computer Engineering, The Johns Hopkins University, Center for Language and Speech Processing, USA" -293c4f086152ae9d635ab1eb84b72f44cb57d129,Person re-identification via person DPM based partition,"National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China" -29fade91a56b540f33c61da32a114adc8c08c447,Multi-part-detector for human detection,"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China" -29aa9c557a46ad214a4236143d93072ab018841e,L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm,"College of Information Science and Technology, Nanjing Forestry University, Nanjing, China" -29aa9c557a46ad214a4236143d93072ab018841e,L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm,"College of Forestry, Nanjing Forestry University, Nanjing, China" -29fc2a8c6283543fd18d758b5079530f7316bd68,Recent advances on multicue object tracking: a survey,"Defense Research and Development Organization, Ministry of Defense, Delhi, India" -29fc2a8c6283543fd18d758b5079530f7316bd68,Recent advances on multicue object tracking: a survey,"Department of Electronics and Communication, Delhi Technological University (Formerly DCE), Delhi, India" -2942a3bac393e0d8fd707f5d4fdc83d91ee63360,Pedestrian detection using two-stage sparse coding algorithm,"Department of public computer teaching, Hefei Normal University Hefei, China" -2942a3bac393e0d8fd707f5d4fdc83d91ee63360,Pedestrian detection using two-stage sparse coding algorithm,"Department of Digit Technology, No.38 Research Institute of CETC, hefei, China" -295c44af9e9dc7d6bb7247f567f36001b8f6ad7b,A scalability prediction approach for multi-threaded applications on manycore processors,"The State Key Laboratory of High-end Server and Storage Technology, Jinan, China" -290fb91615adc208ff79764f04eabc74be36936c,Predicting Personalized Emotion Perceptions of Social Images,"Harbin Institute of Technology & Tsinghua University, Harbin, China" 2960500033eb31777ed1af1fcb133dcab1b4a857,Recognizing facial expressions of emotion using action unit specific decision thresholds,"Başkent University, Ankara, TURKEY" -29fd98f096fc9d507cd5ee7d692600b1feaf7ed1,Exploring Multimodal Visual Features for Continuous Affect Recognition,"Beijing Normal Univeristy, Beijing, China" 2945cc9e821ab87fa17afc8802f3858435d1264c,Efficient video face recognition by using Fisher Vector encoding of binary features,"Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro No.1, Tonantzintla, Puebla, México. CP 72840" 299c1e335fb6c6b0cfa4a733f66655dd35bbdaa8,Using geometric properties of topographic manifold to detect and track eyes for human-computer interaction,"Air Force Research Laboratory at Rome, Rome, NY" -29963f39e4bfd074d30a94b5150b2bd0afb4ee16,People Watching: Human Actions as a Cue for Single View Geometry,"WILLOW Project, Département d’Informatique de l’École Normale Supérieure, ENS/INRIA/CNRS UMR 8548, Paris, France" 29963f39e4bfd074d30a94b5150b2bd0afb4ee16,People Watching: Human Actions as a Cue for Single View Geometry,"EECS Department at UC Berkeley, Berkeley, USA" -29c16d421385d3ea205c2cc4047fc663848ca67f,Emotion recognition using facial and audio features,"The LNM Institute of Information Technology, Jaipur, India" 295e9b2ddb3c9c7d029a99d5b877bf3824949f1b,Reconstructing the world* in six days,"Department of Computer Science, The University of North Carolina at Chapel Hill, USA" -bb93c56a44a244601daad96a7bb94e41609afc4d,Towards Improved Design and Evaluation of Epileptic Seizure Predictors,"Ghent University, Ghent, Belgium" -bb93c56a44a244601daad96a7bb94e41609afc4d,Towards Improved Design and Evaluation of Epileptic Seizure Predictors,Machine Learning GroupTechnische Universität Berlin bb93c56a44a244601daad96a7bb94e41609afc4d,Towards Improved Design and Evaluation of Epileptic Seizure Predictors,Ghent University bb93c56a44a244601daad96a7bb94e41609afc4d,Towards Improved Design and Evaluation of Epileptic Seizure Predictors,"Mayo Systems Electrophysiology Laboratory, Departments of Neurology and Biomedical EngineeringMayo Clinic" bb8218a0fa421320421549ec13969834636e4d47,A segmentation-free word spotting method for historical printed documents,"Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Athens, Greece" bb8218a0fa421320421549ec13969834636e4d47,A segmentation-free word spotting method for historical printed documents,"Department of Surveying Engineering, Technological Educational Institution of Athens, Athens, Greece" -bb4ca5831eb8d913eb3583c9907137a9cdac0599,Unsupervised domain adaptation of virtual and real worlds for pedestrian detection,"CVC and C. Sc. Dpt. UAB, Barcelona, Spain" -bb1b1002210de5f46102036502ee2732a8050174,Landmark recognition with compact BoW histogram and ensemble ELM,"Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore" bbf20adb59b7461e0d040e665bf64ae5f478eda0,Automated face swapping and its detection,"Cyber Security Cluster, Institute for Infocomm Research, Singapore" bb2f61a057bbf176e402d171d79df2635ccda9f6,Multi-modal joint embedding for fashion product retrieval,Institut de Robòtica i Informàtica Industrial (CSIC-UPC) bb2f61a057bbf176e402d171d79df2635ccda9f6,Multi-modal joint embedding for fashion product retrieval,Wide Eyes Technologies -bb6548b43c737dca642298c46ec4648a403e1b11,A Fast Multi-Task CNN for Spatial Understanding of Traffic Scenes,"Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany" -bb83d5c7c17832d1eef14aa5d303d9dd65748956,Predicting student engagement in classrooms using facial behavioral cues,"IIIT Bangalore, India" -bbc8ccd3f62615e3c0ce2c3aee5e4a223d215bbd,Towards robust automatic affective classification of images using facial expressions for practical applications,"Faculty of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China" bbc8ccd3f62615e3c0ce2c3aee5e4a223d215bbd,Towards robust automatic affective classification of images using facial expressions for practical applications,"Research & Development, British Broadcasting Corporation (BBC), London, UK" bbe4d0db1fdb0da1a5550c889505020789e3520d,Action unit detection in 3D facial videos with application in facial expression retrieval and recognition,"Department of Computer & Information Science, Norwegian University of Science and Technology, Trondheim, Norway" -bbfd178e0c92ac547f86aedfcc439741a1a089bb,Getting to Know Your Robot Customers: Automated Analysis of User Identity and Demographics for Robots in the Wild,"CARTIF Foundation, Valladolid, Spain" bb68bd060b1ffaacd447dec1735813cffdaf97d3,Incremental face recognition using rehearsal and recall processes,"School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, Taegu 702-701, Republic of Korea" bbdc66937d1ebd5cbde36f3fe8051e168bd69603,Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering,"Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France" bbdc66937d1ebd5cbde36f3fe8051e168bd69603,Fluorosocopic sequence denoising using a motion compensated multi-scale temporal filtering,"Thales, Moirans, France" bb77e65f70707fd36c247277ab0d71db83f83e33,Road Traversability analysis using network properties of roadmaps,"Dept. of Electrical Engineering, LUMS, Pakistan" -bb77e65f70707fd36c247277ab0d71db83f83e33,Road Traversability analysis using network properties of roadmaps,"Robotics and Mechatronics Center, German Aerospace Center (DLR), Germany" bb77e65f70707fd36c247277ab0d71db83f83e33,Road Traversability analysis using network properties of roadmaps,"Dept. of Computer Science, TU Kaiserslautern, Germany" bb5a06d635b30feff06efac9ca799a6e7030dd7c,Biometric person authentication for access control scenario based on face recognition,"School of Computer Engineering, Sejong University, Seoul, 143-747, Korea" -bb6fb618824e29fe8cf16f5956e8265052377ad5,Reliable pedestrian detection using a deep neural network trained on pedestrian counts,"Multimedia Communications and Signal Processing, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany" bb6fb618824e29fe8cf16f5956e8265052377ad5,Reliable pedestrian detection using a deep neural network trained on pedestrian counts,"Sensing and Industrial Imaging, Siemens Corporate Technology, Munich, Germany" -bbb44958216281607c282427f3001f7bc36e2385,Motion instability based unsupervised online abnormal behaviors detection,"Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China" bbab98fe736523919d17661055756a0fe6fe4e8d,Repeated exposure to vicarious pain alters electrocortical processing of pain expressions,"Faculté des sciences sociales, École de psychologie, Pavillon Félix-Antoine-Savard, Université Laval, Quebec City, Canada" bbab98fe736523919d17661055756a0fe6fe4e8d,Repeated exposure to vicarious pain alters electrocortical processing of pain expressions,"Centre interdisciplinaire de recherche en réadaptation et intégration sociale, Quebec City, Canada" bbab98fe736523919d17661055756a0fe6fe4e8d,Repeated exposure to vicarious pain alters electrocortical processing of pain expressions,"Centre de recherche de l’Institut universitaire en santé mentale de Québec, Quebec City, Canada" bb5855056f9a7e4c8f945bd965526302fb5db254,Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016,"Harvard Medical School , Boston, USA" -bb5855056f9a7e4c8f945bd965526302fb5db254,Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016,"Harvard Medical School and Brigham and Women's Hospital, Boston, USA" bbcbe1312063aece3585e41f63a1491eb3637ce5,Discriminating real and posed smiles: human and avatar smiles,"The Australian National University RSCS, ANU, Canberra, Australia" bbbe31818a21f719ca0cc80329f2bf4cd2b0f39e,Precision Functional Mapping of Individual Human Brains,7 bbbe31818a21f719ca0cc80329f2bf4cd2b0f39e,Precision Functional Mapping of Individual Human Brains,8 @@ -2323,36 +1374,17 @@ bbbe31818a21f719ca0cc80329f2bf4cd2b0f39e,Precision Functional Mapping of Individ bb562d026664e53cada5e78ff99d9b8f223117e9,3D shape-based face recognition using automatically registered facial surfaces,"Dept. of Comput. Eng., Bogazici Univ., Turkey" bbb440b6b8e2d40a8681c12e467698179483cea0,Fusion of face and iris features extraction based on steerable pyramid representation for multimodal biometrics,"LRTT, Unit Associe au CNRST (URAC 29), Faculty of Sciences, Mohammed V University-Agdal, Rabat, Morocco" bbb440b6b8e2d40a8681c12e467698179483cea0,Fusion of face and iris features extraction based on steerable pyramid representation for multimodal biometrics,LETI-EHTP casablanca -bbdd99189aee252adcb0ae80d094e2858c645a78,Multi-ethnical Chinese facial characterization and analysis,"Dalian Key Lab of Digital Technology for National Culture, Dalian Nationalities University, Dalian, China" -bbdd99189aee252adcb0ae80d094e2858c645a78,Multi-ethnical Chinese facial characterization and analysis,"Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China" bbb6491e515f6fe35841af2b88edee09b07b00f5,Kernel-based nonlinear discriminant analysis for face recognition,"National Lab of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, P.R. China" -bb34bcf28021a658ce89d65d229df76d4dc620c6,Computer Models for Facial Beauty Analysis,"Room PQ809, Building P, The Hong Kong Polytechnic Univ, Hung Hom, Hong Kong" bb0f339103317259c76c9a480067afea0273e056,Camera to map alignment for accurate low-cost lane-level scene interpretation,"Control Methods and Robotics Lab, Technical University of Darmstadt, 64283, Germany" -bb0f339103317259c76c9a480067afea0273e056,Camera to map alignment for accurate low-cost lane-level scene interpretation,"Honda Research Institute (HRI) Europe, Carl-Legien-Str. 30, 63073 Offenbach, Germany" -bb80f32bebfa25c5999a43af19eae7cea8c183a6,Hand target extraction from infrared images with descriptor based on pixel temporal characteristics,"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China" bbb73e73d79a6fd994c55bef96eb0d293c90c13e,Accurate face localisation for faces under active near-IR illumination,"Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK" f0619ba7eacdfcc25d0487fb9c3c00d143633500,Partial matching of interpose 3D facial data for face recognition,"Computer Graphics Laboratory, Department of Informatics and Telecommunications, University of Athens, Ilisia 15784, Greece" -f04a3495b4d6caf6ead8a39a2b526b61f411ebd0,A preliminary study of CNNs for iris and periocular verification in the visible spectrum,"Indian Institute of Information Technology Guwahati, Assam, India, 781001" -f04a3495b4d6caf6ead8a39a2b526b61f411ebd0,A preliminary study of CNNs for iris and periocular verification in the visible spectrum,"IBM Research India, New Delhi, India" f0f80055ab85254ca58c1b08017969a0c355881f,Expression neutralization based algorithm for expression-invariant face recognition for single training sample problem,"Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka" f0c3eca0114515db991a3b8febc33c6f3ce84f35,Two stage inter-frame prediction using pixel- and block-wise motion compensation,"Faculty of Science and Technology, Tokyo University of Science, Chiba, Japan" f0da88d34a56a847039b35b6fbc971671e13cd53,Automatic Sports Video Genre Classification using Pseudo-2D-HMM,"Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore" -f0acbc128407606413df764cfea7350e8842c704,Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification,"Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, China" -f04d1648357dca8418f2cab80eb5c063c4abb674,A Framework for Camera-Based Real-Time Lane and Road Surface Marking Detection and Recognition,"School of Computer and System Science, Jawaharlal Nehru University, New Delhi, India" -f08cb47cd91a83ea849f2dfe2682529f3bb95aa9,Joint boosting of histogram like features for the generic recognition of object classes and subclasses,"Computer and Automation Research Institute H-1111, Kende u. 13-17, Budapest, Hungary" -f073c3c86c325d5692f83a0c7226a2bc2f6f8a2e,Audio and face video emotion recognition in the wild using deep neural networks and small datasets,"Central China Normal University, China" f073c3c86c325d5692f83a0c7226a2bc2f6f8a2e,Audio and face video emotion recognition in the wild using deep neural networks and small datasets,"A*STAR, Singapore" f073c3c86c325d5692f83a0c7226a2bc2f6f8a2e,Audio and face video emotion recognition in the wild using deep neural networks and small datasets,"A*STAR, Singapore / National University of Singapore, Singapore" -f0ba5c89094b15469f95fd2a05a46b68b8faf1ca,Recognizing images across age progressions: A comprehensive review,"Dept. Information Science Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India" -f0ba5c89094b15469f95fd2a05a46b68b8faf1ca,Recognizing images across age progressions: A comprehensive review,"Dept. Electronics and Communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India" -f0fa7d7764e4934f21c348341d79b93bbeb6e6cb,Supervised Local High-Order Differential Channel Feature Learning for Pedestrian Detection,"School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China" -f08e3f5fa4dc2a07e7024911fce7d01d87962752,Stride History Image: A New Feature Representation for Pedestrian Identification,"Zhejiang Wanli University, Ningbo, China; Institute of Computer Peripheral, XIDIAN University Xi'an, China" -f08e3f5fa4dc2a07e7024911fce7d01d87962752,Stride History Image: A New Feature Representation for Pedestrian Identification,"Institute of Computer Peripheral, XIDIAN University Xi'an, China" f090e821921715521eff2ff474dfa65449114df0,Measuring changes in face appearance through aging,"VARPA Group, University of A Coruña, Spain" f090e821921715521eff2ff474dfa65449114df0,Measuring changes in face appearance through aging,"Computer Vision Laboratory, University of Sassari, Italy" -f090e821921715521eff2ff474dfa65449114df0,Measuring changes in face appearance through aging,"Dipartamento di Informatica, University of Verona, Italy" -f0e2db6bdede49c7e73d1bd33a77f90de7cfd00c,From still image to video-based face recognition: an experimental analysis,"Infotech Oulu, Oulu Univ., Finland" -f08b25b904aac24b84e35ee7acbe208a7775f27b,Changes in Usage of an Indoor Public Space: Analysis of One Year of Person Tracking,"Advanced Telecommunication Research Institute International, Kyoto, Japan" f04c83d778ff4cc7c5770487f08de6b3c2271fbd,"Face detection with clustering, lda and NN","School of Computer Science and Engineering, The University of Aizu, Japan, Tsuruga, Ikkimachi, Aizuwakamatsu-city, Fukushima prefecture, 965-8580 Japan" f0b4f5104571020206b2d5e606c4d70f496983f9,Lattice computing (LC) meta-representation for pattern classification,"Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Human Machines Interaction (HMI) Laboratory, 65404 Kavala, Greece" f0dce694bd71e46e5b84512f06de046f83a8096e,Learning With $\ell ^{1}$-Graph for Image Analysis,"Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, NY, USA" @@ -2360,50 +1392,26 @@ f0dce694bd71e46e5b84512f06de046f83a8096e,Learning With $\ell ^{1}$-Graph for Ima 52d4952426f40394af1db43f429e0b2a2e326197,Facial emotion recognition under partial occlusion using Empirical Mode Decomposition,"School of Mechatronic Engineering, UniMAP, Malaysia" 52d4952426f40394af1db43f429e0b2a2e326197,Facial emotion recognition under partial occlusion using Empirical Mode Decomposition,"Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kedah, MALAYSIA" 52d4952426f40394af1db43f429e0b2a2e326197,Facial emotion recognition under partial occlusion using Empirical Mode Decomposition,"School of Computer and Communication Engineering, UniMAP, Malaysia" -52f3b79d813a1fa68d8e8b34705f72cc089457a9,A trajectory-based approach for object detection from video,"Department of Internal Search Platform, Tencent Inc., Shenzhen 518060, China" -520e8b71c39dea06b296018a60bcca2dae53f456,Transactions on Computational Science XXX,"Sardina Systems, Tallinn, Estonia" -52274e5d9dc1d3501ee43cf741b835012aae574f,Laplacian sparse dictionary learning for image classification based on sparse representation,"School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China" -52274e5d9dc1d3501ee43cf741b835012aae574f,Laplacian sparse dictionary learning for image classification based on sparse representation,"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China" 52d86a69fb186f521202a8c2d8103ca591762944,Partially Occluded Pedestrian Classification using Three Stage Cascaded Classifier,"Department of Electrical Engineering, Faculty of Engineering, Aswan University, Egypt" 52d86a69fb186f521202a8c2d8103ca591762944,Partially Occluded Pedestrian Classification using Three Stage Cascaded Classifier,"Center for Artificial Intelligence and RObotics (CAIRO), Aswan University, Sahari 81528, Egypt" 52ebc9e9f3129f9a4f5fd79221249941479be376,FPGA-GPU architecture for kernel SVM pedestrian detection,"Pattern Recognition Lab, Department of Computer Science, University Erlangen-Nuremberg, Germany" -52ebc9e9f3129f9a4f5fd79221249941479be376,FPGA-GPU architecture for kernel SVM pedestrian detection,"Laboratory for Pattern Recognition and Computational Intelligence, University of Applied Sciences Aschaffenburg, Germany" 52ebc9e9f3129f9a4f5fd79221249941479be376,FPGA-GPU architecture for kernel SVM pedestrian detection,"Laboratory for Computer-Aided Circuit Design, University of Applied Sciences Aschaffenburg, Germany" -52d158c08e269b62cdc7c0cbe339206d20de370d,Combing Haar and MBLBP features for face detection using multi-exit asymmetric boosting,"College of Engineering and Technology, Arab Academy of Science and Technology & maritime transport, Egypt" 52db20e91a46e68d7feda4b9d2755312f423b5b2,Intelligent Computing Methodologies,"School of Electrical Engineering, University of Ulsan, Ulsan, Korea" 526c79c6ce39882310b814b7918449d48662e2a9,Facial expression analysis under partial occlusion,"Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece" -52ed55387cd6e168b91391110fb4319160e82f50,Multi-attributes gait identification by convolutional neural networks,"Department of Computer Science & Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China" 52ed55387cd6e168b91391110fb4319160e82f50,Multi-attributes gait identification by convolutional neural networks,"Department of Computer Science, The University of Liverpool, Liverpool, UK" 52c71d20dced998a607c466241dfc2eb88183de8,Identification of the optimal emotion recognition algorithm using physiological signals,"BT Convergence Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700 S. Korea" -520ddfa86afcdd99a7c6819473cf5fd80c2bcc62,Efficient Tensor-Based 2D+3D Face Verification,"Université de Biskra, Biskra, Algeria" -520ddfa86afcdd99a7c6819473cf5fd80c2bcc62,Efficient Tensor-Based 2D+3D Face Verification,"Centre de Développement des Technologies Avancées, Baba Hassen, Finland" -520ddfa86afcdd99a7c6819473cf5fd80c2bcc62,Efficient Tensor-Based 2D+3D Face Verification,"Institut Fresnel, Université de Marseille, Marseille, France" 5278b7a6f1178bf5f90cd3388908925edff5ad46,3D object retrieval based on histogram of local orientation using one-shot score support vector machine,"Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran" -529a044e1d54e5b97085b67c740709485b60bec5,A study on Deep Neural Networks framework,"Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, China" -529a044e1d54e5b97085b67c740709485b60bec5,A study on Deep Neural Networks framework,"68129 Army, Lanzhou, China" 524f6dc7441a3899ea8eb5d3e0d5d70e50ba566a,Exploiting the Use of Ensemble Classifiers to Enhance the Precision of User's Emotion Classification,"Institute of Mathematical and Computer Sciences, University of Sao Paulo, Sao Paulo, Brazil" 524f6dc7441a3899ea8eb5d3e0d5d70e50ba566a,Exploiting the Use of Ensemble Classifiers to Enhance the Precision of User's Emotion Classification,University of Sao Paulo -522ef585f181ecf7ce926fa159edf44fbef55ade,Gesture Intention Understanding Based on Depth and RGB Data*,"School of Automation, China University of Geosciences, Wuhan, 430074, China" 527d2a15596cd2ee6d0a66ec47c7fd621bcef404,Multimodal expression-invariant face recognition using dual-tree complex wavelet transform,"Electrical Engineering Department AmirKabir University of Technology Tehran, Iran" 528d1ad4725277b25f17c951c7aa637f58da1c9e,Text and Object Detection on Billboards,"Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand" -526a4847586c5b23dff7da932a86fcf8e712bb41,Age-variation face recognition based on bayes inference,"School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), China" 523db6dee0e60a2d513759fa04aa96f2fed40ff4,Study of Mechanisms of Social Interaction Stimulation in Autism Spectrum Disorder by Assisted Humanoid Robot,"National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy" 523db6dee0e60a2d513759fa04aa96f2fed40ff4,Study of Mechanisms of Social Interaction Stimulation in Autism Spectrum Disorder by Assisted Humanoid Robot,"National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy" 0f266f62b441a0826608eb722af06be176b82699,Virtual worlds and active learning for human detection,"Computer Vision Center and Computer Science Dpt. UAB, Bellaterra, Spain" -0f266f62b441a0826608eb722af06be176b82699,Virtual worlds and active learning for human detection,"Computer Vision Center, Bellaterra, Spain" 0ffbf9c316c90f9a1fa3fa7eca5cdcdd751c8a52,Social game epitome versus automatic visual analysis,"Multimedia Signal Processing Group - MMSPG, Institute of Electrical Engineering - IEL, Ecole Polytechnique Fédérale de Lausanne - EPFL, CH-1015, Switzerland" -0f57f91ab0bffdb2750cf52a9b2e4d8daf0abaa4,People re-identification and tracking from multiple cameras: A review,"Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY" -0faf441a1ef1e788fb9ccd20484b104a1fa95ee8,A brief review on techniques for recognizing images under varying poses,"Dept. Electronics and communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India" 0f9dd79de75a3dce394846369f09c05ddf250e31,An accurate and real-time multi-view face detector using ORFs and doubly domain-partitioning classifier,"Department of Computer Science and Engineering, POSTECH, Pohang, Korea" 0f431ddce270d277fb5322dfdde1524a4717455f,Full body image feature representations for gender profiling,"The Institute of Electronics, Communications and Information Technology (ECIT), Queens University Belfast, UK" -0f1d42e1296474c9211fb57604574ba0cae4380d,Face recognition based on sparse representation applied to mobile device,"Institute of Electrical Control Engineering, National Chiao Tung University 1001 University Road, Hsinchu, Taiwan" -0f3391e2229b9a3c19806ee2bbf5cca868a4f21e,Semantic context and depth-aware object proposal generation,"NICTA, Canberra" 0f907be717c75a5630a4a86080118a3d21581ece,Procrustes1: Power Constrained Performance Improvement Using Extended Maximize-Then-Swap Algorithm,"Samsung Electronics, Yong-In, Gyeonggi-Do, Korea" -0f322826b609c03f0d4eea735999fd37a4cabfbf,Beyond Sliding Windows: Saliency Prior Based Random Partition for Fast Pedestrian Detection,"School of Logistics, Engineering in Wuhan University of Technology Electrical and Electronic, Engineering in Hubei University of Technology, Wuhan, China" -0f322826b609c03f0d4eea735999fd37a4cabfbf,Beyond Sliding Windows: Saliency Prior Based Random Partition for Fast Pedestrian Detection,"School of Logistics, Engineering in Wuhan University of Technology, Wuhan, China" -0f1cd34e77c141e75b02ad4f5b4c2dfcbbffc05a,Adaptive Resolution Optimization and Tracklet Reliability Assessment for Efficient Multi-Object Tracking,"Electrical Engineering Department, Xian Shiyou University, Xi’an, China" -0ff1da972f03085a2bbe87b88940da6201e1aaf9,Pedestrian detection and tracking using deformable part models and Kalman filtering,"Dept. of Electronics & Electrical Engineering, IIT Guwahati, India" -0f5830844658e0745e6703cd08d65c033a97e96c,Dominant-completed local binary pattern for texture classification,"Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China" 0f911ed7c457979200848db3974f13ed3d7457a4,Deep learning with particle filter for person re-identification,"Visual Information Processing Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea" 0f911ed7c457979200848db3974f13ed3d7457a4,Deep learning with particle filter for person re-identification,"Information and Communication Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea" 0f6090015ce5b19ff5b7f58ae849668bf04fa3cd,"Location Extraction from Social Media: Geoparsing, Location Disambiguation, and Geotagging","University of Southampton IT Innovation Centre, Southampton, UK" @@ -2411,7 +1419,6 @@ f0dce694bd71e46e5b84512f06de046f83a8096e,Learning With $\ell ^{1}$-Graph for Ima 0f5379a3c80037be64570b6481399ea6e2db41a9,Multi scale multi descriptor local binary features and exponential discriminant analysis for robust face authentication,"Centre de Développement des Technologies Avancées, Algeria" 0f5379a3c80037be64570b6481399ea6e2db41a9,Multi scale multi descriptor local binary features and exponential discriminant analysis for robust face authentication,Blida University 0f5379a3c80037be64570b6481399ea6e2db41a9,Multi scale multi descriptor local binary features and exponential discriminant analysis for robust face authentication,"ETS, Québec, Canada" -0fcdcf8c0474b3f2ce5616880540c1a757f1cc7f,Shrink boost for selecting multi-LBP histogram features in object detection,Panasonic Singapore Laboratories 0fcdcf8c0474b3f2ce5616880540c1a757f1cc7f,Shrink boost for selecting multi-LBP histogram features in object detection,Panasonic System Networks 0f9683ca40a2257ae602eb781a57a4e5d5c53b03,Approach and Avoidance of Emotional Faces in Happy and Sad Mood,"Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands" 0f9683ca40a2257ae602eb781a57a4e5d5c53b03,Approach and Avoidance of Emotional Faces in Happy and Sad Mood,"Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands" @@ -2422,9 +1429,6 @@ f0dce694bd71e46e5b84512f06de046f83a8096e,Learning With $\ell ^{1}$-Graph for Ima 0f7e9199dad3237159e985e430dd2bf619ef2db5,Learning Social Circles in Ego-Networks Based on Multi-View Network Structure,"EECS Department, University of Kansas, Lawrence, KS" 0f9e0eb925b3dbc6a56731710b06716646babc8e,Pairwise Identity Verification via Linear Concentrative Metric Learning,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Lyon, France" 50e194109b46ce50f62ee0c769b5f05668f291a8,Incorporating geometry information with weak classifiers for improved generic visual categorization,"Xerox Research Centre Europe, Meylan, France" -50d337e06079496c3efde863c2ba18f6118b6c69,Rank level fusion in multibiometric systems,"Centre for Development of Advanced Computing, Mumbai, India" -50a893a51a93c1308b506d98927fb30bb763145a,Multiplication fusion of sparse and collaborative representation for robust face recognition,"School of Information Science and Technology, Huizhou University, Huizhou, China" -5084cf08beb04ad91ef3c5649077255097d0c5d9,Salient Region-Based Least-Squares Log-Density Gradient Clustering for Image-To-Video Person Re-Identification,"College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China" 50765d4b5c9246c19f0839f887a7ab05c4757d39,Part-based registration for expression resistant 3D face recognition,"Bilgisayar Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Istanbul, Turkey" 50765d4b5c9246c19f0839f887a7ab05c4757d39,Part-based registration for expression resistant 3D face recognition,"Philips Research, Eindhoven, The Netherlands" 50076e679fcbb69cddd1e127165d87512d9b0616,Information-theoretic atomic representation for robust pattern classification,"College of Computer and Information Science, Northeastern Unciversity, Boston, USA" @@ -2435,36 +1439,16 @@ f0dce694bd71e46e5b84512f06de046f83a8096e,Learning With $\ell ^{1}$-Graph for Ima 50b22fa36b05f175101faa1eeaaf79eacfd9863b,Multiway histogram intersection for multi-target tracking,"Air Force Research Lab, USA" 50e6ebf213514f4fa5397c142ce05954483f67d3,Improving the Generalization Capacity of Cascade Classifiers,"ISR-Institute of Systems and Robotics, University of Coimbra Polo II, Coimbra, Portugal" 50c77ccf2bd49b60a268081bbbefa30e4d46f257,Hand shape identification using palmprint alignment based on intrinsic local affine-invariant fiducial points,"Department of Electronics, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand" -50c77ccf2bd49b60a268081bbbefa30e4d46f257,Hand shape identification using palmprint alignment based on intrinsic local affine-invariant fiducial points,"Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand" -50ce3f8744c219871fbdcab1342d49d589f2626b,Adaptive Distance Metric Learning for Clustering,"Computer Science and Engineering Department, Arizona State University. jieping.ye@asu.edu" -50ce3f8744c219871fbdcab1342d49d589f2626b,Adaptive Distance Metric Learning for Clustering,"Computer Science and Engineering Department, Arizona State University. zhaozheng@asu.edu" -50ce3f8744c219871fbdcab1342d49d589f2626b,Adaptive Distance Metric Learning for Clustering,"Computer Science and Engineering Department, Arizona State University. hliu@asu.edu" 50ee027c63dcc5ab5cd0a6cdffb1994f83916a46,Learning a discriminative dictionary for sparse coding via label consistent K-SVD,"Adobe Systems Incorporated, San Jose, CA, 95110" 5044875556bd3c66927e17cc720c0bd04fe36faa,3D transformation based feature extraction and selection for 3D face recognition,"Gazi Üniversitesi, Turkey" -50db43b7eaeb427e6e3e1d945f77d86f21a03b01,Graph-Based Sparse Matrix Regression for 2D Feature Selection,"Guanadong University of Technology, China" -50db43b7eaeb427e6e3e1d945f77d86f21a03b01,Graph-Based Sparse Matrix Regression for 2D Feature Selection,"State Grid Energy Research Institute, China" -50db43b7eaeb427e6e3e1d945f77d86f21a03b01,Graph-Based Sparse Matrix Regression for 2D Feature Selection,"State Grid Zhejiang Electric Power CO. LTD, China" -50db43b7eaeb427e6e3e1d945f77d86f21a03b01,Graph-Based Sparse Matrix Regression for 2D Feature Selection,"State Grid Liaoning Electric Power Supply CO. LTD, China" -50b548facfb728af123befabd6e3292c44f1a8c5,Sparse Matching of Random Patches for Person Re-Identification,"University of Udine, Via Delle Scienze, 206, 33100, Udine, Italy" 50236de1791a009dc77d7266c412469a22437b4b,"Micro-expression recognition: an updated review of current trends, challenges and solutions","Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Tunku Abdul Rahman University College, Wilayah Persekutuan Kuala Lumpur, Malaysia" -50236de1791a009dc77d7266c412469a22437b4b,"Micro-expression recognition: an updated review of current trends, challenges and solutions","Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia" -50744b8598d9a95eff73f433c9492c884b81a840,Pedestrian detection using dense LDB descriptor combined with HOG,"Dept. of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, India" -50744b8598d9a95eff73f433c9492c884b81a840,Pedestrian detection using dense LDB descriptor combined with HOG,"Dept. of Electronics and Telecommunication Engineering, Assam Engineering College, Guwahati, Assam, India" 501076313de90aca7848e0249e7f0e7283d669a1,Face recognition based on geometric features using Support Vector Machines,"ITI Department Telecom Bretagne, Brest, France" 502a1a3f24539a63cb253f6c66ccc08495be1500,Robust pedestrian tracking using improved tracking-learning-detection algorithm,"Delhi Technological University, Delhi" -50fbd28cde388656afbd48812830d6bc7e71be2f,Fast recursive ensemble convolution of Haar-like features,"Département EPH, Telecom SudParis" 50fbd28cde388656afbd48812830d6bc7e71be2f,Fast recursive ensemble convolution of Haar-like features,"Lab. IGM, Université Paris-Est" -50e9e9d27132654c85427e4940dd1d40e8652434,Face Recognition Using Most Discriminative Local and Global Features,"Chinese Academy of Sciences Beijing, 100080, China" -5025a2f2a2d53db48f9504be93358c3ec5261646,Dual Channel Gradient feature for person re-identification,"College of Command Information Systems, PLA University of Science & Technology, Nanjing, China" -50b290b0b2d14a3f0f9cfd17b15d87b91d76bff1,Gender classification using spatial and temporal features,"Electronics & communication Engineering Gurunanak Institute of Technology, Sodepur Kolkata, India" -50b290b0b2d14a3f0f9cfd17b15d87b91d76bff1,Gender classification using spatial and temporal features,"Computer Science & Engineering Bengal Engineering and Science University, Shibpur Howrah, India" 50c919fe195775af1982d2fa8fd4f9d8c2f5cfe8,Supervised Feature Learning Network Based on the Improved LLE for face recognition,"Computer Science Department, University of Mossouri, 65211, USA" -504bf308431785153402b7058102f6920a0d8ab3,Pedestrian detection based on improved Random Forest in natural images,"College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China" -50f9170457cb0cc7f89d44917d5750ec33459ce4,Face localization and its implementation on embedded platform,"Department of Electronics Engineering, Visvesvaraya National Institute of Technology, Nagpur, India" 50997081b89dcee1c304a16f714385142d512fa5,Computer Vision – ECCV 2014,"Department of Computer Science, University of Toront, Toronto, Canada" 50997081b89dcee1c304a16f714385142d512fa5,Computer Vision – ECCV 2014,"Max-Planck-Institut für Informatik, Saarbrücken, Germany" 50997081b89dcee1c304a16f714385142d512fa5,Computer Vision – ECCV 2014,"ESAT - PSI, iMinds, KU Leuven, Leuven, Belgium" -5056a117ca092825053c517a2a52b21ccbffa949,Collaborative facial color feature learning of multiple color spaces for face recognition,"Image and Video Systems Lab, School of Electrical Engineering, KAIST, Republic of Korea" 50decd1955df6c7c6edb2d74d1663edc7a0f53e2,Marathi digit recognition using lip geometric shape features and dynamic time warping,"Dept. of Information Technology Engineering, MET's Institute of Engineering, Nashik" 50decd1955df6c7c6edb2d74d1663edc7a0f53e2,Marathi digit recognition using lip geometric shape features and dynamic time warping,"Dept. of IT Engineering, SSBT's College of Engineering and Technology, Bhambori, Jalgaon" 508ce149508610edd93a17561a460f2199c8609e,Tracking performance evaluation on PETS 2015 Challenge datasets,"Computational Vision Group, School of Systems Engineering, University of Reading, Whiteknights, RG6 6AY, UK" @@ -2473,287 +1457,158 @@ f0dce694bd71e46e5b84512f06de046f83a8096e,Learning With $\ell ^{1}$-Graph for Ima 5054924043cc2aa95651d0bf07af2e5de9b8bfd3,Pedestrian Detection Using Regional Proposal Network with Feature Fusion,"Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China" 5054924043cc2aa95651d0bf07af2e5de9b8bfd3,Pedestrian Detection Using Regional Proposal Network with Feature Fusion,"Information and Engineering College, Dalian University, Dalian, P. R. China" 6bfc87bf7449e3ed8f4603b955613a5cfa56a6c1,A new control owner switching system for multiple TV viewers via face recognition,"Broadcasting & Telecommunications Media Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea" -6bc4ddacc5446553d742b4b9475820ca289fcca4,A robust loop-closure method for visual SLAM in unstructured seafloor environments,"Robotics Program, KAIST, Daejeon, Korea" 6bc4ddacc5446553d742b4b9475820ca289fcca4,A robust loop-closure method for visual SLAM in unstructured seafloor environments,"Department of Creative IT Engineering, POSTECH, Pohang, Korea" -6bc4ddacc5446553d742b4b9475820ca289fcca4,A robust loop-closure method for visual SLAM in unstructured seafloor environments,"Department of Mechanical Engineering, KAIST, Korea" -6b9be95acc206c63c23c931cb0e102f1060a0bcd,Augmenting Hand Animation with Three-dimensional Secondary Motion,"Carnegie Mellon University and Disney Research, Pittsburgh" -6b7e552ca66fd3235e99115d6f072061b9ada181,Extensive Comparison of Visual Features for Person Re-identification,"School of Automation, Beijing Institute of Technology, Beijng, China" 6bc4642c2b8108067914abccea3f48e18aec5200,Medical diagnosis from dental X-ray images: A novel approach using Clustering combined with Fuzzy Rule-based systems,"Faculty of Information Technology, College of Information and Communication Technology, Thai Nguyen University, Vietnam" -6b06b79ad1f1907e21380083b976b24a89a0f743,An efficient initialization method for D-KSVD algorithm for image classification,"Nanjing Institute of Astronomical Optics and Technology, National Astronomical Observatories, Chinese Academy of Science, Jiangsu 210042, China" -6beb699af9f5fee492455ed2632d853952df726a,Data Dreaming for Object Detection: Learning Object-Centric State Representations for Visual Imitation,Carnegie Mellon University (CMU) -6bf88e29ac04d72297e6f8f2971c5b8579786e7f,Video-based face classification approach: A survey,"Department of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, China" 6b6cd29c63d3ada53c7a7664248c6db8387da88a,"DeCP-Live: A Web-Interface for DeCP, a Distributed High-Throughput CBIR System","School of Computer Science, Reykjavik University, Reykjavík, Iceland" 6b6cd29c63d3ada53c7a7664248c6db8387da88a,"DeCP-Live: A Web-Interface for DeCP, a Distributed High-Throughput CBIR System","Computer Science Department, IT University of Copenhagen, Copenhagen, Denmark" 6b78f258cbe1f34a938547eb1585e43f8fdbd200,Identifying relevant frames in weakly labeled videos for training concept detectors,"Technical University, Kaiserslautern, Germany" -6b78f258cbe1f34a938547eb1585e43f8fdbd200,Identifying relevant frames in weakly labeled videos for training concept detectors,"DFKI and Technical University - Kaiserslautern, Kaiserslautern, Germany" 6b913b4b4d071b2c91a6fbc317282bf5f610a274,Subspace Procrustes Analysis,"Fundació Privada Sant Antoni Abat, Vilanova i la Geltrú, Spain" 6b913b4b4d071b2c91a6fbc317282bf5f610a274,Subspace Procrustes Analysis,"Universitat Politècnica de Catalunya, Vilanova i la Geltrú, Spain" 6b913b4b4d071b2c91a6fbc317282bf5f610a274,Subspace Procrustes Analysis,"Department of Mathematics and Computer Science, Universitat de Barcelona, Barcelona, Spain" -6b8febe3e726fb42530e8f9d27b412d00163d045,Sparse representation based classification by using PCA-SIFT descriptors,"College of Information Science and Technology Beijing Normal University, Beijing Beijing, China" -6b8febe3e726fb42530e8f9d27b412d00163d045,Sparse representation based classification by using PCA-SIFT descriptors,"Department of Electrical and Electronic Engineering University of Hong Kong, Hong Kong Hong Kong, China" -6b8acdb90ec9200fcdfe1cdf1d90993b8deb1c2f,Joint iris and facial recognition based on feature fusion and biomimetic pattern recognition,"School of Information and Engineering, Wuyi University, Jiangmen 529020, Guangdong, China" 6bb2cb6f3cfcfe6fe4f46aea2311c85a0ad29f6c,Improving human body part detection using deep learning and motion consistency,"Institute of Infocomm Research, A-STAR Singapore" 6ba6045e4b404c44f9b4dfce2d946019f0e85a72,Facial landmark detection based on an ensemble of local weighted regressors during real driving situation,"Dept. of Computer Engineering, Keimyung University, Daegu, Korea" 6b383e7bea3cbe57743614ed5566a500b784684e,Efficient multiclass object detection: Detecting pedestrians and bicyclists in a truck's blind spot camera,"EAVISE, Technology Campus De Nayer, KU Leuven, Belgium" -13243c5192642919d7ad1ca01a5c737e0b020bfd,Modeling the timing of cuts in automatic editing of concert videos,"Nokia Technologies, Tampere, Finland" 13d430257d595231bda216ef859950caa736ad1d,Finding a Proper Approach to Obtain Cognitive Parameters from Human Faces Under Illumination Variations,"Universidad Tecnica Federico Santa Maria, Department of Electronic Engineering, Valparaiso, Chile" -13fd25a18ab3faebcd6a4ab95f4cc814fcda337a,Face and mouth localization of viseme,"Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia" -13fd25a18ab3faebcd6a4ab95f4cc814fcda337a,Face and mouth localization of viseme,"Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia" -13fd25a18ab3faebcd6a4ab95f4cc814fcda337a,Face and mouth localization of viseme,"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia" -136f92989e982ecf795cb27d65b48464eaec9323,Joint face alignment and segmentation via deep multi-task learning,"YouTu Lab, Tencent, Shanghai, China" 13a3952eea0445fc4a1825be10acbd3a189355e3,Coarse-to-fine approach for fast correlation-based visual tracking,"Graduate School of Electrical Engineering, University of Ulsan, Korea" 13f762bbbfd0921cf8904265eb027ac99e70ba6d,Retinal recognition: Personal identification using blood vessels,"Department of Computer & Software Engineering, Bahria University, Islamabad, Pakistan" -136954b17d0931cc5aa93aa80ed91b5e7b402fcb,Multiclass Labeling of Very High-Resolution Remote Sensing Imagery by Enforcing Nonlocal Shared Constraints in Multilevel Conditional Random Fields Model,"Department of Geo-informatics, Central South University, Changsha, China" 134f214cba50b25e82359fdd182fa0fa106d4792,A novel particle filter with implicit dynamic model for irregular motion tracking,"School of Information Engineering, Xiangtan Universtiy, Xiangtan, People’s Republic of China" -134f214cba50b25e82359fdd182fa0fa106d4792,A novel particle filter with implicit dynamic model for irregular motion tracking,"Key Laboratory of Intelligent Computing and Information Processing, Ministry of Education, Xiangtan, People’s Republic of China" 134f214cba50b25e82359fdd182fa0fa106d4792,A novel particle filter with implicit dynamic model for irregular motion tracking,"School of Information Science and Engineering, Central South University, Changsha, People’s Republic of China" -135b95d67996d88e6208b6061a50262035bf3349,A practical aspect of identification and classifying of Guns based on gunshot wound patterns using gene expression programming,"Rani Channamma University, Belagavi, India" -135b95d67996d88e6208b6061a50262035bf3349,A practical aspect of identification and classifying of Guns based on gunshot wound patterns using gene expression programming,"A.G. Patil Institute of Technology, Solapur, India" 13fa2c37bcd9686232765e663e00b09159b9a846,Batch-incremental principal component analysis with exact mean update,"College of Information Science and Engineering Ritsumeikan University, Kusatsu, Japan" -131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8,Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation,"Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China" -131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8,Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation,"Graduate University of Chinese Academy of Sciences, Beijing, China" 131ef8d32f6a5bb63c2e86713bc3202a2dd5b3b8,Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation,"School of Information Systems Singapore Management University, Singapore" 1365d179232048c2d80f6f7f10330edb069015f0,Real-time depth enhanced monocular odometry,"Robotics Institute at Carnegie Mellon University, Pittsburgh, PA 15213, USA" 134d4eb44ea1fd0a2719dbc8ee2e41003dfa3e25,Quantitative measures of facial expression for patients with head and neck cancer,"Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA" 134d4eb44ea1fd0a2719dbc8ee2e41003dfa3e25,Quantitative measures of facial expression for patients with head and neck cancer,"Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA" 1381c0adc5b9693394b0ac8f9e7ce90fb8162f08,Distinguishing Facial Features for Ethnicity-Based 3D Face Recognition,University of Firenze 13e8a65cb4e3dd481a7b079d0a19560b1344a427,Comparison Between Eigenface Epace and Wavelet Technique as Methods of Face Recognition,Alexandria High Institute of Engineering and Technology-Egypt. Email: hassanfahmy36@hotmail.com -132f4a27b3d20e3783d854343b06d7fa3a6fd142,Wavelet moments for gait recognition represented by motion templates,"School of Design, Zhejiang Wanli University, Ningbo, China" -132f4a27b3d20e3783d854343b06d7fa3a6fd142,Wavelet moments for gait recognition represented by motion templates,"Library, Zhejiang Wanli University, Ningbo, China" -132f4a27b3d20e3783d854343b06d7fa3a6fd142,Wavelet moments for gait recognition represented by motion templates,"School of Computer, Zhejiang Wanli University, Ningbo, China" 13a3b4f65a722c537912f698453028fec8197e13,Automatic landmark detection for 3D face image processing,"Edward S. Rogers Senior Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada" 13a3b4f65a722c537912f698453028fec8197e13,Automatic landmark detection for 3D face image processing,"Defence R&D Canada, Toronto, ON, Canada" 13f06b08f371ba8b5d31c3e288b4deb61335b462,Depth and Appearance for Mobile Scene Analysis,"ETH Zurich, Zurich, Switzerland. aess@vision.ee.ethz.ch" 13f06b08f371ba8b5d31c3e288b4deb61335b462,Depth and Appearance for Mobile Scene Analysis,"ETH Zurich, Zurich, Switzerland. leibe@vision.ee.ethz.ch" 13f06b08f371ba8b5d31c3e288b4deb61335b462,Depth and Appearance for Mobile Scene Analysis,"ETH Zurich, Zurich, Switzerland; KU Leuven, Leuven, Belgium. vangool@esat.kuleuven.be" 13453bbe7b669e0a6ea82cf0f13494e08f00414f,Multi-object Tracking Using Compressive Sensing Features in Markov Decision Process,"Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, UTBM, Belfort, France" -131c5a0367cc617c67e6e45586d7fd39b7408e3d,An Evaluation Metric for Object Detection Algorithms in Autonomous Navigation Systems and its Application to a Real-Time Alerting System,"Department of Electrical Engineering, IIT Hyderabad, Kandi, Telangana, 502285, India" -8fddb940c70261a335831cb7aa11b0102f3d901e,Face recognition based on convolutional neural network,"Faculty of Computer Engineering, Munzur University, Tunceli, Turkey" -8f3786e2064a103472ec227a03759bb5056aaffc,Multiple object tracking based on modified algorithm of GMMCP tracker,"College of Machatronics Engineering, National University of Defense, Chang Sha, China" -8fde6363ee7e0a849f323a40fb2029da74056370,"Gender, Makeup, Age and Illumination Prediction from Faces Using Ensemble Modeling","Computer Science Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India" -8f91464e6d7a38940360dc8f3efcfed58a02d9a4,Occlusion detection in visual scene using histogram of oriented gradients,"Annamalai university, Annamalai nagar, India" 8f96a6bf39d91c5cb37316d90b476cd98f447709,Sketch plus colorization deep convolutional neural networks for photos generation from sketches,"Machine Learning and Computer Vision Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, West-Java Indonesia" 8f84ff8921dcaf1a2682a759f1e8e515ab0eae4a,Understanding multimedia content using web scale social media data,"Eastman Kodak Company, Rochester, NY, USA" -8f828dc79d32a4a7b3d3791b32718564e104357a,Ensemble based extreme learning machine for cross-modality face matching,"China National Institute of Standardization, Beijing, China" -8fb0ae4fa49de45bbd51f97571732c1827516617,Coupled analysis-synthesis dictionary learning for person re-identification,"Academy of Broadcasting Science, Beijing, China" -8f52a66deec46ddf25e93a83e48784790d5b59fd,Convolutional neural networks and feature fusion for bimodal emotion recognition on the emotiW 2016 challenge,"College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications, China" -8f52a66deec46ddf25e93a83e48784790d5b59fd,Convolutional neural networks and feature fusion for bimodal emotion recognition on the emotiW 2016 challenge,"Department of Geography Minjiang University, China" -8f52a66deec46ddf25e93a83e48784790d5b59fd,Convolutional neural networks and feature fusion for bimodal emotion recognition on the emotiW 2016 challenge,"Shanghai Technical Institute of Electronics and Information, China" 8ff73c1d0f4f0a190f889ad7f1ecccf709c25929,Environmentally robust audio-visual speaker identification,"Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany" 8fd1910454feb9a28741992b87a271381edd1af8,Convolutional neural networks and multimodal fusion for text aided image classification,"DSO National Laboratories, Singapore" -8ffc2cf0403d0c760708aef41a5868c2c464cea2,Illumination invariant face recognition system,"Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey" 8f713e3c5b6b166c213e00a3873f750fb5939c9a,The 2D factor analysis and its application to face recognition with a single sample per person,"Pontifical Catholic University of Minas Gerais - Department of Computer Science, R. Dom Jose Gaspar, 500, Belo Horizonte MG, 30535901, Brazil" -8ff80024836dfee9a6a9a38586aed3e3df1d7a43,Multiple level visual semantic fusion method for image re-ranking,"Shenzhen Applied Technology Engineering Laboratory for Internet Multimedia Application, Shenzhen, China" -8ff80024836dfee9a6a9a38586aed3e3df1d7a43,Multiple level visual semantic fusion method for image re-ranking,"Public Service Platform of Mobile Internet Application Security Industry, Shenzhen, China" 8f34d05a3353329079dd327be0c013669c8083b1,Object detection with hough forests using HaarHOG descriptor,"Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University Neyshabur, Iran" 8f34d05a3353329079dd327be0c013669c8083b1,Object detection with hough forests using HaarHOG descriptor,"Department of Electrical Engineering, Mashhad Branch, Islamic Azad University Mashhad, Iran" 8f93fa329e4e0daa0303f13c7ab6717c5615304f,Correntropy induced metric based graph regularized non-negative matrix factorization,"Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, NSW 2008, Australia" -8f400ade331e7e75ace804726aa2bb397980415f,A novel approach of low-light image used for face recognition,"Heilongjiang University, Harbin, China" c914d2ba06ec3fd1baa0010dcc4d16c7c34fc225,Engineering Applications of Neural Networks,"Dept. of Theoretical Electrical Engineering, Technical University of Sofia, Sofia, Bulgaria" c914d2ba06ec3fd1baa0010dcc4d16c7c34fc225,Engineering Applications of Neural Networks,"Faculty of Engineering and Computing, Coventry University, UK" c91cf824cc7954483284a6e0019c83baeac236ef,Facial landmark localization in depth images using Supervised Descent Method,"Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Türkiye" c91cf824cc7954483284a6e0019c83baeac236ef,Facial landmark localization in depth images using Supervised Descent Method,"Bilgisayar Mühendisliği Bölümü, MEF Üniversitesi, İstanbul, Türkiye" -c908bd540a02af5e1cf2d556ed2a24fa7bdf2a67,Object Detection Using a Single Extended Feature Map,"Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 309, 3nd floor, 4nd research center, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-gun, Daegu, 711-873, Republic of Korea" c9cb1f19ce918a038880f40d616969d7821b1407,Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition,"Advanced Vehicle Engineering Centre, Cranfield University, Bedford, U.K." c9811aa6dd338408e3f4eee7459376a90c2def4f,Constraint Solving and Language Processing,"University of Orléans, Orléans, France" -c9a91d1200ac7547e49a665e3b2b51426eeae27d,Glimpse: A Programmable Early-Discard Camera Architecture for Continuous Mobile Vision,"Microsoft & University of Washington, Redmond, WA, USA" -c9a91d1200ac7547e49a665e3b2b51426eeae27d,Glimpse: A Programmable Early-Discard Camera Architecture for Continuous Mobile Vision,"Microsoft & University of Massachusetts, Amherst, Redmond, WA, USA" -c9a91d1200ac7547e49a665e3b2b51426eeae27d,Glimpse: A Programmable Early-Discard Camera Architecture for Continuous Mobile Vision,"Microsoft, Redmond, WA, USA" c997744db532767ee757197491d8ac28d10f1c0f,A real-time emotion recognition system for disabled persons,"University of Tunis, The National Higher school of engineers of Tunis (ENSIT), Laboratory of Signal Image and Energy Mastery, LR13ES03 (SIME), Tunis, Tunisia" c9b7449e6073135508796a4cbc9bbaaa94be5b4b,Interactive 3D Segmentation of Rock-Art by Enhanced Depth Maps and Gradient Preserving Regularization,St. Pölten University of Applied Sciences -c9fddfbb8fd4b83421cddfc1495dfb4bb1f9ddbd,A massively parallel algorithm for local binary pattern based face recognition,"Dept. of Inf. Technol., Turku Univ., Finland" c961a96173f7c13883aff1f8b1628d3299e78857,AMRC: an algebraic model for reconfiguration of high performance cluster computing systems at runtime,"School of Computer Engineering, Iran University of Science and Technology, Narmak, Iran" c90c51357ccd50bc1f2976cb63a5b7077feef4ad,What no robot has seen before — Probabilistic interpretation of natural-language object descriptions,"Institute for Artificial Intelligence, Department for Computer Science, University of Bremen, Germany" -c9fe5df03f4de042cad42e11560304b886161a3c,EEG-based classification of emotions using empirical mode decomposition and autoregressive model,"School of Computer and Information Technology, Liaoning Normal University, Dalian, China" c9b36584dcfd69ef8a765719d799090fcf0a96aa,A robust spatio-temporal scheme for dynamic 3D facial expression retrieval,"Department of Informatics and Telecommunications, University of Athens, Athens, Greece" -c8e1d80dc02d6b51eec0cd6be46da16b304c3e0d,Water region detection supporting ship identification in port surveillance,"ViNotion B.V., Eindhoven, The Netherlands" c835bbd79181c316dacb03c1010a985a61a0fb6f,Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity,"Centre de Recherche Cerveau et Cognition, Université Toulouse 3, Centre National de la Recherche Scientifique, Faculté de Médecine de Rangueil, 31062, France" -c87c07d44633eca2cc1d11d2d967fc66eb8de871,A robust method for face recognition and face emotion detection system using support vector machines,"Dept. of Telecommunication, Siddaganga Institute of Technology (SIT), Tumkur, India" -c858c74d30c02be2d992f82a821b925669bfca13,Computer Vision – ECCV 2014,"KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium" -c8c77e415de7edf033451a1d926921f559f18163,All gestures you can: A memory game against a humanoid robot,"Robotics, Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia, Genova, Italy" c8c77e415de7edf033451a1d926921f559f18163,All gestures you can: A memory game against a humanoid robot,"Departiment of Informatics Bioengineering Robotics and Systems Engineering, Università degli Studi di Genova, Italy" c89e9028dd85a35aaa65be7830beec4448c2ba67,Box-constrained projective nonnegative matrix factorization via augmented Lagrangian method,"Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW 2007, Australia" -c8b9217ee36aebb9735e525b718490dc27c8c1cb,Improving person recognition by weight adaptation of soft biometrics,"Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran" c8b9217ee36aebb9735e525b718490dc27c8c1cb,Improving person recognition by weight adaptation of soft biometrics,"Department of Computer Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran" -c8ad5e167b5964c16811fc6427b50453ca3dff9f,SURF-based spatio-temporal history image method for action representation,"Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan" -c85173942e190390bfe67d9513480904d56f3f56,HALS-based algorithm for affine non-negative matrix factorization,"Zhengzhou Institute of Surveying and Mapping, Information Science and Technology Institute, China" -c85173942e190390bfe67d9513480904d56f3f56,HALS-based algorithm for affine non-negative matrix factorization,"Zhengzhou Institute of Surveying and Mapping, China" -c85173942e190390bfe67d9513480904d56f3f56,HALS-based algorithm for affine non-negative matrix factorization,"Information Science and Technology Institute, Zhengzhou, China" c872d6310f2079db0cee0e69cc96da1470055225,Heterogeneous Multi-task Learning on Non-overlapping Datasets for Facial Landmark Detection,"Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan" c89cefcaab0b24c5cfd1629156208faa88c8bfd3,Comparing two methods of object detection in autonomous vehicle,"Instituto Politécnico Nacional, ESIME, Culhuacan, Mexico D.F." c8f428eabaee6423270882a5d79505637ec9724b,Support-driven sparse coding for face hallucination,"Dept of Electrical and Computer Engineering, Texas A&M University, College Station, USA" c8b1850cdba18e3de513a315810fa4bbde2da867,Mind how you answer me!: transparently authenticating the user of a smartphone when answering or placing a call,"Vrije Universiteit Amsterdam, Amsterdam, NL" c82af405f945b99f59b324a1d07863d4998b0786,Unsupervised classifier based on geodesic invariant 3D curve for face surfaces analysis,"CRISTAL Laboratory, GRIFT research group, National School of Computer Sciences, La Manouba University, Tunisia" -c843f591658ca9dbb77944a89372a92006defe68,Learning motion and content-dependent features with convolutions for action recognition,"School of Information Science and Engineering, Hunan city University, Yiyang, China" -c88be8de97c569d2876eab9feac16d0d3f6b337f,A method for action recognition based on pose and interest points,"School of Mathematics, GuangDong University of Business Studies, Guangzhou, China" c82b3e1cefdecc1fe60f2aa9db46479462629918,Multilinear Enhanced Fisher Discriminant Analysis for robust multimodal 2D and 3D face verification,"Department of Electrical Engineering, Université de Biskra, Biskra, Algeria" 74c8116d647612e8cd20a2528eeed38f76d09126,Measuring measures for face sample quality,"Sapienza Università di Roma, Rome, Italy" 74c76a7ddf2a6c76744662dab88e20d329646a60,"Computer Vision, Imaging and Computer Graphics. Theory and Application","Escola Superior de Tecnologia do IPS, Setúbal, Portugal" -74c76a7ddf2a6c76744662dab88e20d329646a60,"Computer Vision, Imaging and Computer Graphics. Theory and Application","LISA - ISTIA, University of Angers, Angers, France" 74c76a7ddf2a6c76744662dab88e20d329646a60,"Computer Vision, Imaging and Computer Graphics. Theory and Application","Università di Catania, Catania, Italy" 74c76a7ddf2a6c76744662dab88e20d329646a60,"Computer Vision, Imaging and Computer Graphics. Theory and Application","Research Innovation Center, Canon U.S.A. Inc., San Jose, USA" -745d289e559dcbbfb938790735aa221fbb585a05,Distributed and Unsupervised Cost-Driven Person Re-Identification,"University of Udine, Via Scienze 208, 33100, Italy" 747fdbdb1fecfefd3eb194da4816a85a61cbafcc,State estimation using GM-PHD filter applied to the tracking of individuals,"School of Electrical and Computer Engineering, Universidade Estadual de Campinas, São Paulo, Brazil 13083-852" 74ed90588ff5b2aa65c1b0882f1aa50caf5c2127,A multimodal deep learning framework using local feature representations for face recognition,"School of Computing, Informatics and Media, University of Bradford, Bradford, UK" -740d4a7322eec687d1e6f0d2b71fe2d804e1ae70,Computer vision approaches based on deep learning and neural networks: Deep neural networks for video analysis of human pose estimation,"Faculty of Contemporary Sciences and Technologies, SEEU, Tetovo, Macedonia" 740d4a7322eec687d1e6f0d2b71fe2d804e1ae70,Computer vision approaches based on deep learning and neural networks: Deep neural networks for video analysis of human pose estimation,"Department of Computer Engineering, EPOKA University, Tirana, Albania" 748675f7ab301351b8d80b0c9816d5763ddd7bf8,A Comparative Study of Palmprint Recognition Algorithms,The Hong Kong Polytechnic University / Harbin Institute of Technology -748835f09adf69955de260fe2497906908a7609c,A survey of face recognition algorithms and testing results,"Nat. Biometrics Test Center, San Jose State Univ., CA, USA" -741950ae2e503a614f257cdac653d1bb30cb8e79,Patterns of weber magnitude and orientation for face recognition,"Luohu Branch, Shenzhen Municipal Public Security Bureau, Guangdong, China" 74e68366a075b1d61952cbf7d51e23c2cb831279,Multi-camera open space human activity discovery for anomaly detection,"Idiap Research Institute - CH-1920, Martigny, Switzerland" 748ce0dfd4d68836d836f141be6707531bef59c0,Pseudoautomatic lip contour detection based on edge direction patterns,"Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece" 746c0205fdf191a737df7af000eaec9409ede73f,Investigating Nuisances in DCNN-Based Face Recognition,"Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy" 74aa887cc3d52b7086d435ba5799ca8b1826e51f,Learning a selectivity-invariance-selectivity feature extraction architecture for images,"Dept Computer Science, Dept Mathematics and Statistics, HIIT, University of Helsinki" 7462d7e2d9305f936ee262af7634dba93967d77d,A Probabilistic Approach to Fast and Robust Template Matching and its Application to Object Categorization,"Toshiba Corporation, Japan" -74c65396b82c2a796bd023e97cfedf058e9a1b83,Prediction of collective actions using deep neural network and species competition model on social media,"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technoloy, Guilin, China" 741facf45a9fd4886b5a7affd07406098253c327,A Vietnamese 3D taking face for embodied conversational agents,"University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam" 748e7263f048d4a3ee513d0d15767da9b283a052,A 3D morphometric perspective for facial gender analysis and classification using geodesic path curvature features,"School of Engineering, Kerbala University, Karbolaa, Iraq" -74a9712e7f3c8cbe5f705d88e531969dbc663aa0,Advanced approach for face recognition using Gabor Wavelet and SURF detector (GWSS),"Department of Computer Science, Shri Ram Murti Smarak College of Engineering & Technology, Unnao, India" -74a9712e7f3c8cbe5f705d88e531969dbc663aa0,Advanced approach for face recognition using Gabor Wavelet and SURF detector (GWSS),"Department of Information Technology, Shri Ram Murti Smarak College of Engineering & Technology, Bareilly, India" -74a9712e7f3c8cbe5f705d88e531969dbc663aa0,Advanced approach for face recognition using Gabor Wavelet and SURF detector (GWSS),"College of Computing Science & Information Technology, Theerthankar Mahaveer University, Moradabad, India" 74295da4cb95115c84e6453f769e62dd607f21c6,High-Order Topology Modeling of Visual Words for Image Classification,"Centre for Quantum Computation and Intelligent Systems, University of Technology at Sydney, Sydney, NSW, Australia" -74e537ee4061aa64278dd59a4d135f83f1b8bb20,Online Glocal Transfer for Automatic Figure-Ground Segmentation,"College of Information Engineering, Shenzhen, China" -74e537ee4061aa64278dd59a4d135f83f1b8bb20,Online Glocal Transfer for Automatic Figure-Ground Segmentation,"College of Computer Science, Hangzhou, China" 74e537ee4061aa64278dd59a4d135f83f1b8bb20,Online Glocal Transfer for Automatic Figure-Ground Segmentation,"IETR/UMR CNRS 6164, INSA, Rennes, France" -74879f53e3e5fa580bdb3e2693861bdf40c0a8c1,Double Encoder Conditional GAN for Facial Expression Synthesis,"School of Information Science and Engineering, Central South University, Changsha, 410083, China" -eb902c51df0aa2140ca5196f6f7e847fbe5562c1,Pedestrians detection using a cascade of LBP and HOG classifiers,"Computer Science Department Technical University of Cluj-Napoca Cluj-Napoca, Romania" -eb7ddda1bfa709497af9d0b2010d61d659a1816f,Training CNNs from Synthetic Data for Part Handling in Industrial Environments,"BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany" eb7ddda1bfa709497af9d0b2010d61d659a1816f,Training CNNs from Synthetic Data for Part Handling in Industrial Environments,"Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany" eb2fe6dae7d4f3866948569f94e6ee23efaec49e,Optimized Facial Emotion Recognition Technique for Assessing User Experience,"Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, United States" eb3436a52fac7dd498efeaad0861c39d5361f7f2,Convolutional neural network for motorbike detection in dense traffic,"Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam" eb3436a52fac7dd498efeaad0861c39d5361f7f2,Convolutional neural network for motorbike detection in dense traffic,"Deparment of Information Media Technology, School of Information and Telecommuncation Engineering, Tokai University, Japan" eb161064ea62eaf6369a28ff04493b47cf29cc0c,"Crowd analysis using visual and non-visual sensors, a survey","DITEN, University of Genova, Italy" -eb02daee558e483427ebcf5d1f142f6443a6de6b,The Science and Detection of Tilting,"University of Helsinki, Helsinki, Finland" eb02daee558e483427ebcf5d1f142f6443a6de6b,The Science and Detection of Tilting,"University of Lancaster, Lancaster, United Kingdom" -ebde14a5d0137e970bfea350eb0ccc7d4eec2394,Person Re-Identification,"University of Verona, Italy" -ebeb0546efeab2be404c41a94f586c9107952bc3,Multi-cue Augmented Face Clustering,"Tianjin Universtiy, Tianjin, China" eb7d5e71716f6e3eec281da7d5c1d987238be8b2,Multi-Attribute Robust Component Analysis for Facial UV Maps,"Computation-based Science and Technology Research Centre, The Cyprus Institute, Nicosia, Cyprus" eb8a3948c4be0d23eb7326d27f2271be893b3409,A Probabilistic Approach to People-Centric Photo Selection and Sequencing,"Amazon, Berkshire, U.K." eb3a5714b5768755a046cfa944433394534e96fd,Pedestrian Localization,"Group Research, Daimler AG, Ulm, Germany" eb0593aee32f29a300e25628bfae7f2e260c6e9f,A computationally efficient pipeline for camera-based indoor person tracking,"Department of Electrical and Computer Engineering, University of Auckland" -eb4515c58ba7446797b016be9db64e800c2fadd2,Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network,"Institute for Information and System Sciences, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China" eb4515c58ba7446797b016be9db64e800c2fadd2,Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network,"LIRIS UMR 5205, Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France" -eb555b9a950ba90f913c6af8b104975bc58e2c23,Onboard Video Stabilization for Rotorcrafts,"Dep. Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador" -ebc2a3e8a510c625353637e8e8f07bd34410228f,Dual Sparse Constrained Cascade Regression for Robust Face Alignment,"B-DAT Laboratory, School of Information and Control, Nanjing University of Information and Technology, Nanjing, China" ebf0259c7b95a9ecabe67507345742d45339428f,Region-based facial representation for real-time Action Units intensity detection across datasets,"Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie (Sorbonne Universités), Paris, France" -eb8a21f3eb2cae9d3da79dfa50a3372c4c426665,Fisher Discriminant Analysis With L1-Norm,"School of Mathematics and Physics, Anhui University of Technology, Maanshan, Anhui, China" -eb2d85e01488c54f48da94748d3298732f5b5de5,EyePACT: Eye-Based Parallax Correction on Touch-Enabled Interactive Displays,"Ubiquitous Interactive Systems Group, LMU Munich, Munich, Bavaria, Germany" eb309b11fd2b8d28cbaf7a72a49df14630ed696a,Facial Expression Recognition Using Hybrid Discriminant Analysis,"ECE Department, Union College, Schenectady, New York, cotters@union.edu" eb309b11fd2b8d28cbaf7a72a49df14630ed696a,Facial Expression Recognition Using Hybrid Discriminant Analysis,"ECE Department, Union College, Schenectady, New York, sadilekt@union.edu" eb9bcf9e3f8856c92e7720b63b7e846df37de0c3,Efficient SMQT features for snow-based classification on face detection and character recognition tasks,"Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 14580" eb48170a6e1e020f002a6a0a808c1934d5c760b8,"A Feasibility Study of Autism Behavioral Markers in Spontaneous Facial, Visual, and Hand Movement Response Data","Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA" eb0a94e92dec2fb48943078eaafac33502fa3162,A Robust and Scalable Visual Category and Action Recognition System Using Kernel Discriminant Analysis With Spectral Regression,"Computer, Electronic and Security Research Group, University of Northumbria" ebac4bc69488d0339b0f1be55d79d3b2520e082a,Using Ear Biometrics for Personal Recognition,"School of Information Engineering, Univ. of Science and Technology Beijing, Beijing" -08100a843de77ee84c0aabbc18cddb1adbd71cd6,Intelligent Film Assistant for Personalized Video Creation on Mobile Devices,"University of Applied Sciences, Technikum Wien, Vienna, Austria" -080ab68a898a3703feead145e2c38361ae84a0a8,Pairwise Costs in Semisupervised Discriminant Analysis for Face Recognition,"Department of Engineering and MaintenanceChina Mobile Group, Jiangsu Company, Ltd., Changzhou, China" -085c61ad31208717a6bc28059708ebdebbb1ca43,Gesture recognition of traffic police based on static and dynamic descriptor fusion,"School of Information Science and Engineering, Central South University, Changsha, China" 080e0efc3cf71260bfe9bdc62cd86614d1ebca46,Fast Kernel Generalized Discriminative Common Vectors for Feature Extraction,"Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, UK" 080e0efc3cf71260bfe9bdc62cd86614d1ebca46,Fast Kernel Generalized Discriminative Common Vectors for Feature Extraction,"Departament d’Informàtica, Universitat de Valencia, Valencia, Spain" 08de380a16259134da084ba859346d18a225dd00,Phase-eigen subspace based illumination invariant face recognition using associative memory,"Department of Information Technology, ABACUS Institute of Engg. & Mgmt., Mogra, Hooghly-712 148" 08de380a16259134da084ba859346d18a225dd00,Phase-eigen subspace based illumination invariant face recognition using associative memory,"Department of Electrical Engineering, Future Institute of Engg. & Mgmt., Sonarpur, Kolkata-700 150" 08f69a82fae49a4a1f13d06cae32d77bb8e5be1a,Feature map sharing hypercolumn model for shift invariant face recognition,"Department of Electronics Engineering and Computer Science, Fukuoka University, Fukuoka, Japan" -08169c3e0179aa71cf5dfb9f048392916433b3e5,Asymmetrically boosted HMM for speech reading,"GVU Center, Georgia Inst. of Technol., Atlanta, GA, USA" -081307db6d8d709af26f49d24041086bb09abfd1,A general description generator for human activity images based on deep understanding framework,"Guangxi University, Nanning, China" -08c7deb50c98f5a5095cbb60d3a85b1cac149883,Face recognition based on improved PCA reconstruction,"School of Information, Linyi Normal University, 276005, China" 0827fa5586227437df34d63a8c49f5bc8ba077dc,Towards a humanoid-oriented movement writing,"Hyung Ju Suh, a Caltech student, and Sarah Bechtle, are affiliated interns at JPL." 08d0612dea89d7fc231a5bcc3e62998d804412b3,Nonnegative Tucker Decomposition,"Department of Computer Science, POSTECH, Korea. karma13@postech.ac.kr" 08d0612dea89d7fc231a5bcc3e62998d804412b3,Nonnegative Tucker Decomposition,"Department of Computer Science, POSTECH, Korea. seungjin@postech.ac.kr" 08872d801f134e41753601e85971769b28314ca2,Recognizing Facial Expressions in the Orthogonal Complement of Principal Subspace,"Indian Statistical Insitute, Kolkata 700108" 08872d801f134e41753601e85971769b28314ca2,Recognizing Facial Expressions in the Orthogonal Complement of Principal Subspace,"Indian Statistical Institute, Kolkata 700108" -08276cb2bfa9da2d0cfccba881b109346749159e,Efficient pedestrian detection with group lasso,"DISI - Università degli Studi di Genova, Via Dodecaneso 35 - I16146 - Italy" 08efc3cd63b5657ac65e68aaaa9cbacfd2596fea,Extended Body-Angles Algorithm to recognize activities within intelligent environments,"MAmI Research Lab, University of Castilla-La Mancha, Ciudad Real, Spain" 08efc3cd63b5657ac65e68aaaa9cbacfd2596fea,Extended Body-Angles Algorithm to recognize activities within intelligent environments,"eSmile – Psychology for Children & Adolescents, Ciudad Real, Spain" 080936799b4ada10785f0e227a2d10b054473127,Fast and scalable enrollment for face identification based on Partial Least Squares,"Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, 31270-010" 0828a2d546796192d84d0f622b9ee0be90e073b9,Parallel HEVC decoding with asymmetric mobile multicores,"Gachon University, Gyeonggi-do, South Korea" -08dc6e67f71e6c666cc7eadbf31b494e4bee362e,General categorization of leaves using square patches in combination with SVM classifier,"Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India" -086655743dc5f16563c012ad43b2f9d06771d9c0,Near real-time face parsing,"CVIT, IIIT Hyderabad, India" 080a910dcb2541e0ca9384d27de3db7a0248f02a,Algorithms for scheduling task-based applications onto heterogeneous many-core architectures,"Department of Computer and Information Science, University of Oregon, USA" -0801d539bacc3e3bc42e2e96bdb8f5d9bec67b41,Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering,"College of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China" 0801d539bacc3e3bc42e2e96bdb8f5d9bec67b41,Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering,"College of Computer Science and Software Engineering, Auburn University, Auburn, U.S.A." 08a7dcfaea52c7fc5e603273f0d5d465acfc5c64,Audio-visual emotion recognition using deep transfer learning and multiple temporal models,"Institute for Infocomm Research at A*STAR, Singapore" 0831794eddcbac1f601dcb9be9d45531a56dbf7e,Learning correlations for human action recognition in videos,"Department of Mathematics and Computer Science, Gannan Normal University, Ganzhou, People’s Republic of China" -08162395a4b47236bf64d1ec5a286d3d207e91e2,Active learning and discovery of object categories in the presence of unnameable instances,"Computer Vision Group, Friedrich Schiller University Jena, Germany" -089ed02309d0754e4c72f2c72e0a92752951d00b,Improving existing cascaded face classifier by adding occlusion handling,"Institut Pascal - CNRS UMR6602 Université Blaise Pascal, Campus des Cézeaux, 63177 Aubière, France" 089ed02309d0754e4c72f2c72e0a92752951d00b,Improving existing cascaded face classifier by adding occlusion handling,"Limos - CNRS UMR6158 Université Blaise Pascal, Campus des Cézeaux, 63173 Aubière, France" -0818ed460c7c0d7bbed760145fcf83b3b426d344,Unsupervised incremental learning for improved object detection in a video,"NEC Labs, Cupertino, CA" 46b960d3d871b2ee19d1b8e8838e7036c2ee56ed,Optimal image compression via block-based adaptive colour reduction with minimal contour effect,"School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland" 46b960d3d871b2ee19d1b8e8838e7036c2ee56ed,Optimal image compression via block-based adaptive colour reduction with minimal contour effect,"Department of Electrical and Electronic Engineering, Hasan Kalyoncu University, Gaziantep, Turkey" 46216757ae27573fcea9fadc858bb65e48d8f85c,Robust Eye Detection from Facial Image based on Multi-cue Facial Information,"School of communication and information engineering Shanghai University, Shanghai 200072, China. ypguan@shu.edu.cn" 46c73ac90c8107e9580950eef9df6834edccd183,A Survey on Activity Detection and Classification Using Wearable Sensors,"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA" -4671f13ac3661f430e50b169108c67e11ebfdf1d,Finger-vein image quality evaluation based on the representation of grayscale and binary image,"National research base of intelligent manufaturing service, Chongqing, China" -4671f13ac3661f430e50b169108c67e11ebfdf1d,Finger-vein image quality evaluation based on the representation of grayscale and binary image,"School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing, China" -4671f13ac3661f430e50b169108c67e11ebfdf1d,Finger-vein image quality evaluation based on the representation of grayscale and binary image,"Chongqing University of Technology, Chongqing, China" 46e82bdcd623e693ec086f81fa78f55c92a9ce44,Selecting discriminative regions for periocular verification,"Intel Corporation, Hillsboro, OR 97124" 467747f86df4537d6deff03dee8e552f760d7c16,Detecting action units on 3D faces,"Elektrik ve Elektronik Mühendisliği Bölümü, Bogaziçi Üniversitei" -46551095a2cc4976d6be0165c31c37b0c5638719,Multimodal assistive technologies for depression diagnosis and monitoring,"Ministry of Higher Education, Riyadh, Kingdom of Saudi Arabia" -46551095a2cc4976d6be0165c31c37b0c5638719,Multimodal assistive technologies for depression diagnosis and monitoring,"National ICT Australia, Eveleigh, Australia" 46551095a2cc4976d6be0165c31c37b0c5638719,Multimodal assistive technologies for depression diagnosis and monitoring,"Queensland Institute of Medical Research, Brisbane, Australia" -4679f58139f1be2aab2598378555f277bc299d2a,Online learning of dynamic multi-view gallery for person Re-identification,"School of Information Science and Engineering, Shandong Normal University, Jinan, China" 46be9cce021fda02f2d26f20eaf1256e17920d81,Bag of Facial Components: A Data Enrichment Approach for Face Image Processing,"School of Electrical Engineering and Informatics, Institut Teknologi Bandung" 46a93d3bb2a2abea38e432a9a125d225d729f0e4,A graph-based MAP solution for multi-person tracking using multi-camera systems,"Computer Vision Group, Friedrich Schiller University of Jena, Germany" 46f48211716062744ddec5824e9de9322704dea1,Learning a Distance Metric from Relative Comparisons between Quadruplets of Images,"Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, Paris, France" -46eaeee1d2887c27b614852c728411cfedf52144,Part and Attribute Discovery from Relative Annotations,"Toyota Technological Institute at Chicago, Chicago, USA" 46544182751970a7053bde08f34511667b28e346,Unattended Object Identification for Intelligent Surveillance Systems Using Sequence of Dual Background Difference,"Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea" 46976097c54e86032932d559c8eb82ffea4bb6bb,Facial emotion recognition with anisotropic inhibited Gabor energy histograms,"Center for Research in Intelligent Systems, University of California, Riverside Riverside, CA 92521-0425, USA" -4613b3a9344622b2997039afe3d47df1fd4de72f,Performance improvement for face recognition using PCA and two-dimensional PCA,"Electronics and Instrumentation Engineering, Seemanta Engineering College, Mayurbhanj, Odisha, India, 757086" -4613b3a9344622b2997039afe3d47df1fd4de72f,Performance improvement for face recognition using PCA and two-dimensional PCA,"Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, India" 46c9e36647f2d5b40555e4e392dd76807c73f2c2,Multi-Object Tracking in Airborne Video Imagery based on Compressive Tracking Detection Responses,"Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium and Interuniveristy Microelectronics Center (IMEC), Leuven, Belgium" 4686df20f0ee40cd411e4b43860ef56de5531d9e,Illuminating light field: image-based face recognition across illuminations and poses,"Dept. of ECE, Maryland Univ., College Park, MD, USA" -42750fbdc5bff1a2955d2ef4e5d197e101843bed,Scenario-based score fusion for face recognition at a distance,"Biometric Recognition Group - ATVS, Escuela Politecnica Superior - Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain" -42a6beed493c69d5bad99ae47ea76497c8e5fdae,Joint salient object detection and existence prediction,"CCCE, Nankai University Jinnan Campus, Tianjin, China" -4263f2c81a8b79f637c3fdf432a9b1e58e1c25e5,Human Face Detection and Facial Expression Identification,"Department of Information Technology, R. A. I. T, Nerul, Navi Mumbai, India" 424ca6d3746ad6975d0fbc7bd6152e4bcca4b281,SmartBalance: A sensing-driven linux load balancer for energy efficiency of heterogeneous MPSoCs,"University of California Irvine, CA" 426913f890f07a5d79e6c23b83cd928ffc00e494,Lightweight automatic face annotation in media pages,"Yahoo! Labs, Haifa, Israel" 426913f890f07a5d79e6c23b83cd928ffc00e494,Lightweight automatic face annotation in media pages,"Yahoo! Research, Haifa, Israel" 4233746214b73039bd80d9650d53651ca24440e9,Face Validation with Facial Model using Genetic Algorithms,"Department of Information Management, Huafan University, Taipei, Taiwan. E-MAIL: cytang@cc.hfu.edu.tw" 4233746214b73039bd80d9650d53651ca24440e9,Face Validation with Facial Model using Genetic Algorithms,"Department of Information Management, Huafan University, Taipei, Taiwan" -4233746214b73039bd80d9650d53651ca24440e9,Face Validation with Facial Model using Genetic Algorithms,"Electronics and Optoelectronics Research Laboratories, ITRI, Hsinchu, Taiwan" -422e01be2612b69d5b567abc3b218a01c1cca754,Effect of variation factors on the processing time of the face recognition algorithms in video sequence,"King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand" 42ba8fed261e754b86d51e4f69e81f142f39fdf8,Face alignment by minimizing the closest classification distance,"Faculty of Computer Science, University of Karlsruhe (TH), 76131 Karlsruhe, Germany" -4286b193cf1c381ac18d1fd994d6acd2a284ddad,Pictorial structure based people detection and pose estimation in videos,"Sapientia Hungarian University of Transylvania, Hungary" -4280c600ef8621b6bed27e729cd23535ddd6b5c7,Dense Multiperson Tracking with Robust Hierarchical Linear Assignment,"Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, U.K." 42b0124c382ee7a3b56c2063e769aae94d7eda7b,Multiple face-component analysis: A unified approach towards facial recognition tasks,"Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh India" -42f258d271425b0f87af50f30d10c8fc74354c26,Probabilistic contour extraction using hierarchical shape representation,"Sch. of Inf. Eng., Dalian Maritime Univ., China" -42ab71fde8210e9f36209a6fbec1642a3e476e0e,Attention driven face recognition: A combination of spatial variant fixations and glance,"School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing 100049, China" -fd93275f240d17b7adc22d5e1139379265fcf011,A local cores-based hierarchical clustering algorithm for data sets with complex structures,"College of Computer Engineering, Yangtze Normal University, Chongqing, China" -fd93275f240d17b7adc22d5e1139379265fcf011,A local cores-based hierarchical clustering algorithm for data sets with complex structures,"School of Computer Science and Technology, Southwest Minzu University, Chengdu, China" fde6f06101aeaadd47e8752ba35583ffddb73667,Real-Time Obstacle Detection and Tracking for Sense-and-Avoid Mechanism in UAVs,"Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA" fde6f06101aeaadd47e8752ba35583ffddb73667,Real-Time Obstacle Detection and Tracking for Sense-and-Avoid Mechanism in UAVs,"Maritime and Aerial Perception Systems Group, Jet Propulsion Laboratory, Pasadena, CA, USA" fdf588263db27cfa061e662c6c9637132d29f487,Introduction to Intelligent Surveillance,"Department of Computer Science, Auckland University of Technology, Auckland, New Zealand" -fd60166c2619c0db5e5159a3dfe9068aa4f1b32f,Illumination invariant face recognition system based on a novel Lighting Equilibrium Distribution Map,"School of Physics Electrical Information Engineering, Ningxia University, Yinchuan 750021, China" fde2d6d7ec8945a0348497dbddef033b8a7f6839,A Simplified approach to Visual Odometry using Graph Cut RANSAC,"Department of Electrical and Computer Engineering, Air University, Islamabad, Pakistan" fdd719ba2495802699b7ba827768ef62109c33f8,Interference Reduction in Reverberant Speech Separation With Visual Voice Activity Detection,"3dMD, Atlanta, Georgia, USA" -fdfdc1004708427e194bf29cd9a77364244e7a73,Deep Learning for Biometrics,"University of California, Riverside, USA" -fd7c9d90ade72ad96990b284004f672a482029d6,Local Gabor phase difference pattern for face recognition,"School of Information Engineering, University of Science and Technology Beijing, 100083, CHINA" -fdb6599cb273a88ff38a987b19ec2ec4b7efb2ff,Deep Learning and Convolutional Neural Networks for Medical Image Computing,"NIH Clinical Center, Bethesda, USA" fdb6599cb273a88ff38a987b19ec2ec4b7efb2ff,Deep Learning and Convolutional Neural Networks for Medical Image Computing,"Siemens Healthcare Technology Center, Princeton, USA" -fdbd6d15f5be4d60592036eb21f4cbf68493d082,Multiple human upper bodies detection via deep deformable part model,"School of Computer Science and Technology, Nanjing Tech University, Nanjing, China" -fdbd6d15f5be4d60592036eb21f4cbf68493d082,Multiple human upper bodies detection via deep deformable part model,"Nanjing Tech University, Nanjing, China" fd206ad103fcc58dfbb84779d09cc94546d21f42,A stereo cameras setup for pedestrian detection enhancement,"Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil" fd89d46397d48aa38a317c4e2fa3c9a52a187998,Automatic bootstrapping of a morphable face model using multiple components,"Electro-Optics, TNO Defence Security and Safety, The Hague, The Netherlands" fd89d46397d48aa38a317c4e2fa3c9a52a187998,Automatic bootstrapping of a morphable face model using multiple components,"Information and Computing Sciences, Utrecht University, the Netherlands" -fd13c64f629d57b85ade538e15821fd00f4e5f1c,On the complex domain deep machine learning for face recognition,"The Nature-Inspired Computational Intelligence Research Group, Kanpur, India" fded7773f14e4680c5a818bab5de4b3d29bfc732,Object class recognition using combination of color SIFT descriptors,"School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia" -fd01b62a8bb76798e93cf927e3aa823961af81fd,Region-based eigentransformation for face image hallucination,"School of Information Science and Technology, Beijing Institute of Technology, China" -fddce785ccc3bc5534e2ad00c55e9d07cd92c6ec,A Tongue Image Segmentation Method Based on Enhanced HSV Convolutional Neural Network,"University of Science and Technology Beijing, Beijing, China" -fde611bf25a89fe11e077692070f89dcdede043a,Facial Expression recognition using Local Binary Patterns and Kullback Leibler divergence,"Department of ECE, National Institute of Technology, Rourkela (Odisha), India" fd2c82efc9a0c84d306fc47b4cfb7e75e4174d46,Human head detection using Histograms of Oriented optical flow in low quality videos with occlusion,"ISSNIP, Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria - 3010, Australia" -11e05870a90cfcf5b1d2e0d0d3df9d1afb9267ff,Efficient modeling by selecting learning samples in human pose estimation,"Nara Institute of Science and Technology, Japan" -1159ff04fd17c59515199e0fc2d5e01e72818b59,Pose-invariant descriptor for facial emotion recognition,"Research Center for Science and Technology in Medicine, Tehran University of Medical Sciences, Tehran, Iran" -1117073bba23f66717ca631e7077ad2b42f5c08b,Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks,"Research Center for Information Technology Innovation, Taipei, Taiwan" 1117073bba23f66717ca631e7077ad2b42f5c08b,Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks,"Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan" 1117073bba23f66717ca631e7077ad2b42f5c08b,Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks,"Department of Audiology and Speech language pathology, Mackay Medical College, New Taipei City, Taiwan" 11ce6be0fa8972659bd288a5f51c152fe38a1881,Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence,"Thales Electron Devices (TED), Moirans, France" -11ce6be0fa8972659bd288a5f51c152fe38a1881,Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence,"TED, Moirans, France" 11ce6be0fa8972659bd288a5f51c152fe38a1881,Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence,"Gipsa-Lab, Saint-Martin d'Hères, France" -11ce6be0fa8972659bd288a5f51c152fe38a1881,Spatio-Temporal Multiscale Denoising of Fluoroscopic Sequence,"BioMerieu, La Balme-les-Grottes" 11ff2f54ecfda6c7f90ed84baf1cc5b4f07e726b,Local Gabor directional pattern for facial expression recognition,"Computer Engineering Kyung Hee University Yongin-si, South Korea" 11ff2f54ecfda6c7f90ed84baf1cc5b4f07e726b,Local Gabor directional pattern for facial expression recognition,"Evatix, Dhaka, Bangladesh" -112b31e53037c5a17434524abc3ddbd1e05c168d,Multi-cue pedestrian detection from 3D point cloud data,"National Chung-Shan Institute of Science and Technology, Taiwan" -11916461bb0a150ef31d4a4249160dce451d77db,Robust face recognition via discriminative and common hybrid dictionary learning,"School of Mathematics and Information Science, Chang’an University, Xi’an, China" 11916461bb0a150ef31d4a4249160dce451d77db,Robust face recognition via discriminative and common hybrid dictionary learning,"Department of Electrical and Computer Engineering, West Virginia University Institute of Technology, Montgomery, USA" 11c7e7010da7a93287e09b71f920237d0e5aac02,Classification of EEG signals using MLP based on categorical and dimensional perceptions of emotions,"Kulliyyah of Information & Communication Technology, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia" -11c7e7010da7a93287e09b71f920237d0e5aac02,Classification of EEG signals using MLP based on categorical and dimensional perceptions of emotions,"Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, Malaysia" 11fdd940c9a23a34f7ab59809c26a02bce35c5f3,Learning multi-objective binary features for image representation,"Department of Artificial Intelligence Engineering, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran" 1116e7ce6565b3c2f3bdae80b11bec166353a7cd,A Congestion Detection System Using Optical Flow and Standard Deviation in Mass Gathering,"Department of Computer Engineering, Maharashtra Institute of Technology, Pune" 1110f86433302fd6c4cc92e2ac1ddf80b917b25c,An approach to monitor river catchment with PAL SAR satellite data,"Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India-247667" @@ -2763,14 +1618,10 @@ fd2c82efc9a0c84d306fc47b4cfb7e75e4174d46,Human head detection using Histograms o 11bda1f054effb3116115b0699d74abec3e93a4b,Improving the performance of MDA by finding the best subspaces dimension based on LDA for face recognition,"Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran" 11bda1f054effb3116115b0699d74abec3e93a4b,Improving the performance of MDA by finding the best subspaces dimension based on LDA for face recognition,"Department of Electrical and computer Engineering, Noshirvani University of Technology, Babol, Iran" 11b904c9180686574e6047bbd9868c354ca46cb4,Mapping Dynamic Bayesian Networks to $\alpha$-Shapes: Application to Human Faces Identification Across Ages,"Center for Development of Advanced Technology, Algiers, Algeria" -11342399df26a059848764cc550e0f1c83992e61,Collaborative representation based face recognition using a hybrid similarity measure with single training sample per person,"Electrical Engineering Department Jadavpur University Kolkata, India" 1142a9d15d536d2534d6e757911efc0716cbad9d,Extending of the Kinect device functionality and the corresponding database,"Department of Radio Electronics, SIX Research Center, Brno University of Technology (BUT), Czech Republic" 11de4195ecf7b24568b0c893125cd6b8b469f0a6,Joint learning and dictionary construction for pattern recognition,"Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia" 11ffcb985aab348870de871f275e5d23558f041c,Visual grasp affordances from appearance-based cues,"UC Berkeley, USA" 11ffcb985aab348870de871f275e5d23558f041c,Visual grasp affordances from appearance-based cues,"MPI Informatics, USA" -11ffcb985aab348870de871f275e5d23558f041c,Visual grasp affordances from appearance-based cues,"ICSI, UC Berkeley, USA" -119ccee35247b83565d385150baf1181fa5c3e74,Combining SVMS for Classification on Class Imbalanced Data,"AGT International, Darmstadt, Germany" -119ccee35247b83565d385150baf1181fa5c3e74,Combining SVMS for Classification on Class Imbalanced Data,"Signal Processing Group, TU Darmstadt, Germany" 110a6a5304c6773773a0cd217f3e9d540b2f698d,Gender Recognition Based On Combining Facial and Hair Features,"Department of Communication Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Taoyuan County 320, Taiwan +886-3-4638800 ext. 7323" 4770f73bc3ad0097fc8cdff3a3f8feaed1060595,Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning,"Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, Ultimo, NSW, Australia" 47a003e6bbfc5bf04a099ca53c67ddfdbea71315,Q-stack aging model for face verification,"Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015, Switzerland" @@ -2782,32 +1633,16 @@ fd2c82efc9a0c84d306fc47b4cfb7e75e4174d46,Human head detection using Histograms o 474c8f4e31a51e2cb3c1e9fed83202b4483efb35,Computer Vision – ECCV 2018,"Google Research, Zurich, Switzerland" 474c8f4e31a51e2cb3c1e9fed83202b4483efb35,Computer Vision – ECCV 2018,"Hebrew University of Jerusalem, Jerusalem, Israel" 4798e98fd4533648833c491b1ba289e370757371,Efficient Framework for Palm Tree Detection in UAV Images,"Department of Electronic, Saad Dahleb University, Blida, Algeria" -477caeeb7c953654a891a3011f3bcfaa6a68ec75,Automatic Attendance Capturing Using Histogram of Oriented Gradients on Facial Images,"University of Johannesburg, Johannesburg, South Africa" -47ef3ae5832b3985e9f461b26428867258d4b261,A facial recognition application based on incremental supervised learning,"Signal Processing Group, Basis of Electronics Department, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Cluj-Napoca, Cluj-Napoca, 400114, Romania" -47ef3ae5832b3985e9f461b26428867258d4b261,A facial recognition application based on incremental supervised learning,"Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, 400084, Romania" -47785095076b48393bdcffea3267c686a5214900,Data filtering for scalable high-dimensional k-NN search on multicore systems,"University of Otago, Dunedin, New Zealand" 475e21ba0524ffeae04fc7390abc6f24ff1afd1b,On-road object detection using deep neural network,"Department of Information and communication engineering, INHA University Computer Vision Laboratory, Incheon, South Korea" -471d8e30a4ebd3d217486be9ddfd6b4670e2b883,Discriminant sparse locality preserving projection for face recognition,"College of Science, Xi’an Shiyou University, Xi’an, China" -471d8e30a4ebd3d217486be9ddfd6b4670e2b883,Discriminant sparse locality preserving projection for face recognition,"School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China" -47abff9dcb7cd8628bf3bda89069896ee2f356fb,A method of ear feature extraction for ear biometrics using MATLAB,"Department of Instrumentation and Control, College of Engineering Pune, India" -47abff9dcb7cd8628bf3bda89069896ee2f356fb,A method of ear feature extraction for ear biometrics using MATLAB,"Department of Electronics, Vishwakarma Institute of Technology Pune, India" -47165ad181b3da3a615e6e8bc8509fcfc53f49c4,Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation,"Smeal College of Business, Pennsylvania State University, University Park, PA, USA" 4704c8e6330352f370107a3e9ae297a0e77f5543,"3D Facial Landmarking under Expression, Pose, and Occlusion Variations","Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey hamdi.dibeklioglu@cmpe.boun.edu.tr" 4704c8e6330352f370107a3e9ae297a0e77f5543,"3D Facial Landmarking under Expression, Pose, and Occlusion Variations","Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl" 4704c8e6330352f370107a3e9ae297a0e77f5543,"3D Facial Landmarking under Expression, Pose, and Occlusion Variations","Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey akarun@boun.edu.tr" -47ae41d513630b8e4a03a124d7c20eae97ddbf55,Combining background information and a top-down model for computing salient objects,"School of Communication and Electronics, Jiangxi Science and Technology Normal University, Nanchang, China" 477bbcb5655a9c64893207bb49032e87c06a05f2,Eleos: ExitLess OS Services for SGX Enclaves,Technion - Israel Institute of Technology -473f05ce910e7f20266880eb580d3a3aa877a98e,Visual tracking via online discriminative multiple instance metric learning,"Department of Automation, Northwestern Polytechinical University, Xi’an, China" -47de7339f70075f6ac1a77d3dba23dbe3e435b73,EventBuilder: Real-time Multimedia Event Summarization by Visualizing Social Media,"Delhi Technological University, Delhi, India" 4715303bdb871e57cbb597b7e936a6ef4aa2f71a,BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments,"University of Colorado Boulder, Boulder, USA" -4715303bdb871e57cbb597b7e936a6ef4aa2f71a,BrowseWithMe: An Online Clothes Shopping Assistant for People with Visual Impairments,"University of Texas at Austin; Facebook AI Research, Austin, USA" -4791df90a067b8084315765d9b2dc3896b0b47e5,Drowsiness monitoring in real-time based on supervised descent method,"Technical University of Sofia, 8 blvd. Kliment Ohridski, Sofia 1756, Bulgaria" 4749503fe584b4747c1e371b7bc101dc083ed0c3,MRF-Based Decision Fusion for Hyperspectral Image Classification,"Visionlab, University of Antwerp" -4749503fe584b4747c1e371b7bc101dc083ed0c3,MRF-Based Decision Fusion for Hyperspectral Image Classification,"Image Processing and Interpretation, University of Gent" 472df520353b3715ee8e5234db01d0f551e6d9a2,Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes,"Department of Computer Science, CAMP, Technische Universität München (TUM), Germany" 472df520353b3715ee8e5234db01d0f551e6d9a2,Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes,"WillowGarage, Menlo Park, CA, USA" 472df520353b3715ee8e5234db01d0f551e6d9a2,Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes,"École Polytechnique Fédérale de Lausanne (EPFL), Computer Vision Laboratory, Switzerland" -479fa087bdffcd574470801f76eef9faafe589f5,A survey on leveraging deep neural networks for object tracking,"Daimler AG, Research and Development, Ulm, Germany" 47f31f9126a386dce81e3ef935579fd8c9a134f6,Ensemble for high recognition performance FPGA,"Imaging Science and Engineering Lab, Tokyo Institute of Technology-Japan" 4786638ffb3b2fb385cec80720cc6e7c3588b773,Effective semantic features for facial expressions recognition using SVM,"Department of Computer Science and Engineering, Tatung University, Taipei 104, Republic of China" 4786638ffb3b2fb385cec80720cc6e7c3588b773,Effective semantic features for facial expressions recognition using SVM,"Department of Industrial Design, Tatung University, Taipei 104, Republic of China" @@ -2820,30 +1655,19 @@ fd2c82efc9a0c84d306fc47b4cfb7e75e4174d46,Human head detection using Histograms o 45db5e4f5da9d2020b44fe2c0f0040d1142fbd3d,Social Function and Autism Spectrum Disorder in Children and Adults with Neurofibromatosis Type 1: a Systematic Review and Meta-Analysis,"Department of Paediatrics, University of Melbourne, Melbourne, Australia" 45db5e4f5da9d2020b44fe2c0f0040d1142fbd3d,Social Function and Autism Spectrum Disorder in Children and Adults with Neurofibromatosis Type 1: a Systematic Review and Meta-Analysis,"Institute for Neuroscience and Muscle Research, The Children’s Hospital at Westmead, Sydney, Australia" 45d6323b4256a1cd11189141dd056525890f76c1,Satellite imagery retrieval: Features & metrics evaluation,"NOAA /NGDC, 325 Broadway, Boulder, CO 80305" -4543845adcb6135f263cbf6c2813d10464199d52,Improving Deep Crowd Density Estimation via Pre-classification of Density,"School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai, China" -4543845adcb6135f263cbf6c2813d10464199d52,Improving Deep Crowd Density Estimation via Pre-classification of Density,"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China" -453febab65d4047e04b320daf8877bf5a018b6a8,Human pose estimation based on human limbs,"Institute for Deep Learning, Baidu, Sunnyvale, USA" 4500888fd4db5d7c453617ee2b0047cedccf2a27,Moving portraits,Google Inc. -4500888fd4db5d7c453617ee2b0047cedccf2a27,Moving portraits,University of Washington and Google Inc. -45481d31c19986eb5cbaf6bda54362efb2fb7203,RSVP: A Real-Time Surveillance Video Parsing System with Single Frame Supervision,"SKLOIS, IIE, CAS, Beijing, China" -45481d31c19986eb5cbaf6bda54362efb2fb7203,RSVP: A Real-Time Surveillance Video Parsing System with Single Frame Supervision,"IA, CAS, Beijing, China" -45a44edf54064ca4e6b14a51bd1303313168af3a,Transfer of sparse coding representations and object classifiers across heterogeneous robots,"Georgia Tech Research Institute, Atlanta, 30318 USA" 456d3118c93d30fbafb076f0a9d0d614d2c847a2,Bicriteria Distributed Submodular Maximization in a Few Rounds,"Google, New York, NY, USA" 451dfcdf9553b3af0dd911d02ff39399a12ebad7,Gender classification using 3D statistical models,"Face Aging Group, Department of Computer Science, UNC Wilmington, Wilmington, USA" 4522a5ccae6f656e347211d86c2e6ef01654e4e2,Face Recognition Using DCT and LDA,"Szczecin University of Technology, Szczecin, Poland" 45e9b5a7dba2f757567324fe35c2f2db87b015cc,Robust dual-stage face recognition method using PCA and high-dimensional-LBP,"Department of Computer Engineering, Sejong University, Gwangjin-gu, Seoul, Korea" -4510faad196b34f70e5d27f012840d4987627b37,"HiMotion: a new research resource for the study of behavior, cognition, and emotion","CEFITEC - Centro de Física e Investigação Tecnológica, Faculdade de Ciência e Tecnologia, Caparica, Portugal" 4510faad196b34f70e5d27f012840d4987627b37,"HiMotion: a new research resource for the study of behavior, cognition, and emotion","IT - Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal" 454283ee7ea757dd25780807e4017cf43b4fc593,Giving robots some feelings towards interaction with humans in ubiquitous environment,"Department of Advanced Systems Control Engineering, Saga University, Japan" 454283ee7ea757dd25780807e4017cf43b4fc593,Giving robots some feelings towards interaction with humans in ubiquitous environment,"Millennium Information Technologies (MIT) Pvt. Ltd., Sri Lanka" -45a4030b30bb8fe18611476acfe2f1c8b4eff322,Utilizing AlexNet Deep Transfer Learning for Ear Recognition,"College of Graduate Studies, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia" 45a4030b30bb8fe18611476acfe2f1c8b4eff322,Utilizing AlexNet Deep Transfer Learning for Ear Recognition,"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia" 45e79ff0b11cf28a707ae225361ea4c455480689,Balancing search space partitions by sparse coding for distributed redundant media indexing and retrieval,"NOVA LINCS, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Caparica, Portugal" -4509654fa18710870797e89c40bdebdd3b9e9950,A novel pupil localization method based on GaborEye model and radial symmetry operator,"ICT-ISVISION Joint R&D Lab. for Face Recognition, Beijing, China" 45122c17e52f49ccb1ab8ee5b7042a21f1a61beb,A New Dataset Benchmark for Pedestrian Detection,"Computer Engineering Department, Prince of Songkla University, Hat Yai, Thailand" 4539582f25f4316c1655fbb308ee8a5b11649e38,Stable and improved generative adversarial nets (GANS): A constructive survey,"Interdisciplinary Graduate School, Energy Research Institute@NTU, Singapore" 459668bca393e3c9aaadb01eb14108aaa4dc5ce8,Driving space detection by combining V-disparity and C-velocity,"University of Evry Val d’Essonne, IBISC (Informatics Integrative Biology and Complex Systems) Lab., 40 rue du Pelvoux, 91025, Evry, France" -453bf941f77234cb5abfda4e015b2b337cea4f17,Robust regression based face recognition with fast outlier removal,"School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China" 4502b2691d6c92f3306b66bce70caecf550ae55f,Discriminative dictionary learning with spatial priors,"University of Central Florida School of Electrical Engineering and Computer Science, Orlando, FL" 4a5c314a8911c6326ae386a55360c47110b08025,Online vehicle logo recognition using Cauchy prior logistic regression,"Department of Automatic Control and Systems Engineering, University of Sheffield, S1 3JD, UK" 4a3684ee0c64d22386a44c0ddfbf8d609cd2de48,MILES: Multiple-Instance Learning via Embedded Instance Selection,"Department of Computer and Information Science, University of Mississippi, University, MS" @@ -2852,17 +1676,11 @@ fd2c82efc9a0c84d306fc47b4cfb7e75e4174d46,Human head detection using Histograms o 4a06c130c57b373718d15aa25ebb958d78bf2840,Deformable parts model for people detection in heavy machines applications,"Université de Technologie de Compiègne (UTC), CNRS Heudiasyc UMR 7253, Compiègne, France" 4a06c130c57b373718d15aa25ebb958d78bf2840,Deformable parts model for people detection in heavy machines applications,"Technical center for the Mechanical Industry (CETIM), Senlis, France" 4aac8f4b8e459d06ca22cd1b7606af99615bd5c7,Endogenous convolutional sparse representations for translation invariant image subspace models,"Los Alamos National Laboratory Los Alamos, NM 87545, USA" -4a912e8c04ec0b2d2364d36874a8faf6e4a28b8c,Gabor-based kernel PCA with doubly nonlinear mapping for face recognition with a single face image,"Dept. of Electron. & Inf. Eng., The Hong Kong Polytech. Univ., China" -4a111ca4ba39386b489f9c0a9c7949e932563ddb,Automatic Group Affect Analysis in Images via Visual Attribute and Feature Networks,"Indian Institute of Technology Ropar, India" 4adb3fb481d5ec33d6161d780162b616ab6c44e2,Joint Multi-View People Tracking and Pose Estimation for 3D Scene Reconstruction,"Department of Electrical Engineering, University of Washington (UW)" 4ae7fb256d3251019f570776dfe34e8d234c6fdf,Exploiting social media information toward a context-aware recommendation system,"Institute of Informatics and Telecommunications, National Center for Scientific Research - “Demokritos”, Athens, Greece" -4abaf4673d3745d312ed7e62770e6d264acee27a,Iterative estimation of the eye pupil center,"GTÜ Bilgisayarla Görme Lab, Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye" 4a1fdf137e720beb6dd3c8a2623b21676b142f2d,QoI-Aware Unified Framework for Node Classification and Self-Reconfiguration Within Heterogeneous Visual Sensor Networks,"Faculty of Computing, Engineering and Sciences, Staffordshire University, Stoke-on-Trent, U.K." 4a1f7905a2d6f218bd39172fb6247ffa9cfe0640,Liveness detection in remote biometrics based on gaze direction estimation,"Lodz University of Technology, ul. Stefanowskiego 18/22, 90-924, Poland" -4adbf8df68b1e1cb9da45054a12469720361c826,A novel fast face recognition algorithm based on multi-dimension neural network model and boundary feature extraction technique,"Beijing Jiatong University, China" -4ad8178e285901c886e3e2e66f2340115347b23f,A Comprehensive Study on Center Loss for Deep Face Recognition,"Tencent AI Lab, Shenzhen, China" 4adc7003141377fb4a854f948634599a823f898e,Proposal of a universal test scene for depth map evaluation,"Department of Electrical and Electronic Engineering, National University of Ireland, Galway, Ireland" -4a8b21da621a33b805906140b08c699a09ef06a9,Human Detection by Quadratic Classification on Subspace of Extended Histogram of Gradients,"Agency for Science, Technology & Research, Institute for Infocomm Research, Singapore" 4a48a8a6b3efdfb353454a762c042fbde343632f,Visual Face Recognition Using Bag of Dense Derivative Depth Patterns,"Grupo de Tratamiento de Imágenes, UPM, Madrid, Spain" 4ac7de66841babac6b482cb54722074e2eb42079,Image Representation Using Supervised and Unsupervised Learning Methods on Complex Domain,"Dept. of Computer Science and Information Engineering, Providence University, Taichung, Taiwan" 4acadf133d82d91e2186c0ccf73852de9901e555,Orthogonal neighborhood preserving projections,"Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA" @@ -2871,37 +1689,23 @@ fd2c82efc9a0c84d306fc47b4cfb7e75e4174d46,Human head detection using Histograms o 4aefd3ffa712a9b7d9db0615d4ee1932de6060d6,Face2Mus: A facial emotion based Internet radio tuner application,"Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon" 4aa27c1f8118dbb39809a0f79a28c0cbc3ede276,3D Visual Speech Animation from Image Sequences,"Université de Lorraine, LORIA, UMR 7503" 84f047ff1665f7fdb7653047caf4d43c2c9576c2,Person re-identification with pre-trained deep learning models and attribute correlations,"Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Vietnam" -841c99e887eb262e397fdf5b0490a2ae6c82d6b5,Feature extraction for facial age estimation: A survey,"Department of Computer Engineering, CGPIT, Uka Tarsadia University, Bardoli, Surat, India" 84a74ef8680b66e6dccbc69ae80321a52780a68e,Facial Expression Recognition,"Department of Electrical Engineering, The City College of New York, New York, USA" -849f56689d6d947770ca3e1f582521754ff72c4e,A Robust Noninvasive Eye Control Approach For Disabled People Based on Kinect 2.0 Sensor,"School of Information and Engineering, Wenzhou Medical University, Wenzhou, China" -849f56689d6d947770ca3e1f582521754ff72c4e,A Robust Noninvasive Eye Control Approach For Disabled People Based on Kinect 2.0 Sensor,"School of Pharmacy, Wenzhou Medical University, Wenzhou, China" 84f003d3cfb093b0cebfa3ae8ae5f138a5677558,Kinship verification in the wild: The first kinship verification competition,"SIANI-Universidad de Las Palmas de Gran Canaria, Spain" -84f003d3cfb093b0cebfa3ae8ae5f138a5677558,Kinship verification in the wild: The first kinship verification competition,"Politecnico di Torino, DAUIN, Italy" 84b4eb66ad75a74f77299f1ecb6aa6305362e8cd,A Learning-based Eye Detector Coupled with Eye Candidate Filtering and PCA Features,"Universidade Federal de Campina Grande, Brazil" 84881da6fd1da4fe24d8b39f960f7a2fb71a4197,Biometric personal identification based on gait analysis using surface EMG signals,"Center for Bionics, Korea Institute of Science and Technology, South Korea Department of Electronic Engineering, Inha University, South Korea" 845d7e0f5b477e62b484a7fd628e80651167d500,Regional Registration for Expression Resistant 3-D Face Recognition,"Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey" 8432cae0d463b46980dc3ba585affaaca90d1072,Joint tracking and gait recognition of multiple people in video,"Institute for Human-Machine Communication, TU Munich, Germany" -840bc15b8ad4ca3eed78148aa0d32100b3f25120,Event video retrieval using global and local descriptors in visual domain,"Klagenfurt University, Klagenfurt, Austria" 840bc15b8ad4ca3eed78148aa0d32100b3f25120,Event video retrieval using global and local descriptors in visual domain,"Universitat Politecnica de Catalunya Barcelona, Catalonia/Spain" 845419c6183a9baead5fbaf4ad79694d247c4deb,Attaining performance fairness in big.LITTLE systems,"INESC-ID, IST, Universidade de Lisboa, Rua Alves Redol 9, 1000-029 Lisbon, Portugal" -84302b4e2e70cbace4d7ebc1cbb4efd744dfb645,A classifier training method for face detection based on AdaBoost,"Electronic Engineering College, Changchun University, 130022, China" -84302b4e2e70cbace4d7ebc1cbb4efd744dfb645,A classifier training method for face detection based on AdaBoost,"Center of Modern Education Technology, Changchun Chinese Medicine University, 130051, China" -84d27f9027c208c3c09f1c8c9baae9d553c57d54,Improved multiple histogram-based features for robust face recognition,"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, China" 8495e36177e556f9f9de729952d1b6aabb4f2e2b,"Person identification using automatic integration of speech, lip, and face experts","University College Dublin, Dublin, Ireland" 84ba9ff28d9d4fdb38d843d2a6cd70d38644cedb,Calibration of multi-camera systems,"Centro de Investigación en Informática para la Ingeniería (CIII) Universidad Tecnológica Nacional, Facultad Regional Córdoba, Maestro Lopez esq. Cruz Roja Argentina, Córdoba Argentina" -84be18c7683417786c13d59026f30daeed8bd8c9,A photometric sampling method for facial shape recovery,"Robótica y Manufactura Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ramos Arizpe, Mexico" 84d7af78c8dba3cad0380a33511725db4db1a54d,Flexible Manifold Learning With Optimal Graph for Image and Video Representation,"Department of Computer Science, Texas State University, San Marcos, TX, USA" 84d6714ae7bc73acadcca41b94148d61c8599ea8,Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition,"Toyota Technological Institute Chicago, Chicago" 847306581386c4731cca12d0b636b1b10d287369,A multi-modal system for road detection and segmentation,Université de Technologie de Compiègne (UTC) -847306581386c4731cca12d0b636b1b10d287369,A multi-modal system for road detection and segmentation,"Ecole Nationale Superieure de Techniques Avancés, Palaiseau, France" 4c4bcb934388af44ad993112aa8718cf99d0786a,Efficient acquisition of human existence priors from motion trajectories,"Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma, JAPAN 630-0192" -4c6cc339d1ef9cedcee85ad4bab0ca687ef39bda,Qualitative study on 3D face databases: A review,"Department of Electronics and Communication Engineering, National Institute of Technology Silchar, India" -4c1249da3de9f31b2280af171e910f02e7ca5153,Dictionary learning feature space via sparse representation classification for facial expression recognition,"School of Information Science and Engineering, Yanshan University, Qinhuangdao, China" -4c1249da3de9f31b2280af171e910f02e7ca5153,Dictionary learning feature space via sparse representation classification for facial expression recognition,"School of Physics and Electronic Engineering, Taishan University, Tai’an, China" 4c6ffe1cc479d86adf5126174900e2f23afb22a9,Tracking multiple people under global appearance constraints,"CVLab, EPFL, Lausanne, Switzerland" 4cb538b0b30dc6b425d2b5a5305d8a629cb1a847,Dynamic facial landmarking selection for emotion recognition using Gaussian processes,"Automatics Research Group, Universidad Tecnológica de Pereira, Pereira, Colombia" 4c9f704c699f106ebedc258d00d951cb74f34940,Estimating the aspect layout of object categories,"Department of Computer Science and Electrical Engineering, University of Michigan at Ann Arbor, Ann Arbor, MI 48109, USA" -4c7232d5c3caf09e9e5c53d697bb470246d3f4c7,LabelMe: Online Image Annotation and Applications,"WILLOW project-team, Laboratoire d'Informatique de l'École Normale Supérieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France" 4cce5a690decc1d81b41975bf88eaefef2a71222,Spatial Recurrences for Pedestrian Classification,"Department of Computer Languages and Systems & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain" 4cce5a690decc1d81b41975bf88eaefef2a71222,Spatial Recurrences for Pedestrian Classification,"Department of Computer Science and Engineering & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain" 4cf68a0b1a3f49393a8c11f3a18cccc7912b8424,Multi-stage binary patterns for facial expression recognition in real world,"Department of Computer Science, International Islamic University, Islamabad, Pakistan" @@ -2909,106 +1713,55 @@ fd2c82efc9a0c84d306fc47b4cfb7e75e4174d46,Human head detection using Histograms o 4c975a0615112fd9eeeed157ab4842509b0e15ba,An evaluation of optical flow algorithms for crowd analytics in surveillance system,"Centre for Intelligent Signal & Imaging Research, Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS, Tronoh, Perak, 31750, Malaysia" 4c4f7ef4cc9efef2465e9fe6b7a6fc8d92fd8d1f,Atomic scenes for scalable traffic scene recognition in monocular videos,NEC Labs America 4c8581246ed4d90c942a23ed7c0e007221fa684d,A robust active shape model using an expectation-maximization framework,"Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal" -4cf329b2a09eac0c55ec0eb8fdd5ef9c997ec27b,Principal texture direction based block level image reordering and use of color edge features for application of object based image retrieval,"Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, India" -4cace31e5bb5ff11318b66ff1050e84ab5f334cf,MoWLD: a robust motion image descriptor for violence detection,"Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China" 4c28ca360096d1ebf9a0c1d5ac10bedfa35819b4,Coupled Auto-Associative Neural Networks for Heterogeneous Face Recognition,"U.S. Army Research Laboratory, Adelphi, MD, USA" -4c648fe9b7bfd25236164333beb51ed364a73253,Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey,"Norwegian Biometric Laboratory, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway" 4c60b754ead9755121d7cf7ef31f86ff282cc8fb,Hierarchical Complex Activity Representation and Recognition Using Topic Model and Classifier Level Fusion,College of Computer Science and TechnologyZhejiang University 4c3a0d87f7aefcf3f420c86e8dc377edbbcc25bf,A unified learning framework for object detection and classification using nested cascades of boosted classifiers,"Department of Electrical Engineering, Universidad de Chile, Santiago, Chile" -4c8dfc4720186799b2baf53c282a32ba3f312bcc,A Mask Regional Convolutional Neural Network Model for Segmenting Real Time Traffic Images,"Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, 302017, India" -4cbd8adfdc4d622d9a7dd3676869042f16d073db,An improved multi-view face synthesis method based on point distribution models,"Department of Information Technology, Central China Normal University, Wuhan, China" -4cbd8adfdc4d622d9a7dd3676869042f16d073db,An improved multi-view face synthesis method based on point distribution models,"Unit 75719 of the People's Liberation Army, Wuhan, China" 4c83e1be7c025dafbd009577977baccae2b29727,Hybrid Simulated Annealing and Its Application to Optimization of Hidden Markov Models for Visual Speech Recognition,"Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland" -4cd6f20db45cdd3a21c08e1a56754cdf98d070a1,Exploiting Attribute Dependency for Attribute Assignment in Crowded Scenes,"Department of Mathematics, Taiyuan University of Technology, Taiyuan, China" 4c438728464f3d81d975c78aa0d7ed01088d2435,User recognition for guiding and following people with a mobile robot in a clinical environment,"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98694, Germany" -038b5a38510f5b2064a0b24c94e59ee2b7c49815,A novel framework for semantic segmentation with generative adversarial network,"Beijing Technology and Business University, Beijing, China" -038b5a38510f5b2064a0b24c94e59ee2b7c49815,A novel framework for semantic segmentation with generative adversarial network,"Beijing Technology and Business University Beijing, China" 0363e93d49d2a3dbe057cc7754825ebf30f0f816,Identifying individuals in video by combining 'generative' and discriminative head models,"Dept. of Eng. Sci., Oxford Univ., UK" -03046f4dd5c1535a9d97662f75d1e3fc9bda407d,Towards a Framework for Semi-Automated Annotation of Human Order Picking Activities Using Motion Capturing,Chair of Materials Handling and Warehousing 03046f4dd5c1535a9d97662f75d1e3fc9bda407d,Towards a Framework for Semi-Automated Annotation of Human Order Picking Activities Using Motion Capturing,"TU Dortmund, Pattern Recognition in Embedded Systems Group, Dortmund, Germany" -0318c3a969d714581fee93324f5fbe6f5ce685d6,FRVT 2006 and ICE 2006 Large-Scale Experimental Results,"Science Applications International Corporation, Chantilly" 0318c3a969d714581fee93324f5fbe6f5ce685d6,FRVT 2006 and ICE 2006 Large-Scale Experimental Results,"Schafer Corporation, Arlington" 0318c3a969d714581fee93324f5fbe6f5ce685d6,FRVT 2006 and ICE 2006 Large-Scale Experimental Results,"Ames HCI Group, Moffett Field" -0348ff27225e45578c39f000e86bd96aef060c97,A multistage filtering for detecting group in the crowd,"School of Electrical and Information Engineering, Shanghai University of Electric Power, China" 03eac9f1a4373d3570a024eb3983bfda235e3cbf,3DLBP and HAOG fusion for face recognition utilizing Kinect as a 3D scanner,"UNESP - São Paulo State University, Bauru, São Paulo" 03c872a7d12b08104e29d0e59fe65a8ae516561d,S2DPCA with DM and FM in Face Recognition,"Computer Science Department, State University of New York, Stony Brook, NY11794-4400, USA. E-MAIL: wbzhang2k@hotmail.com" -0316ab93582f0f32b6137a0582d94aa31bfe3d1d,Face recognition method based on fuzzy 2DPCA,"School of Informatic, Linyi University, 276005, China" -035d6dbaf2053d065464e065bb824695b1ab5a95,Random permutation principal component analysis for cancelable biometric recognition,"Department of Computer Science and Engineering, National Institute of Technology, Srinagar Garhwal, India" 03016dd2ed29f1d8c090fff88f2cacbdb03da5f3,Weakly Supervised Multi-Graph Learning for Robust Image Reranking,"Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Broadway NSW, Australia" -03799d5eb1de8141db27856758a2f72436fcc926,A texture based mani-fold approach for crowd density estimation using Gaussian Markov Random Field,"Malaviya National Institute of Technology, Jaipur, India" 03af8cf40283ff30f1da3637b024319d0c79bdf0,The Belfast Induced Natural Emotion Database,"Queen's University Belfast, Belfast" -03be0b8baddbe72e813c8ca29819e2309d7cacb9,Evaluation of Synthetic Video Data in Machine Learning Approaches for Parking Space Classification,"University of Bochum, Institute for Neural Computation" 03ce549e60833eea1a518081e93d76fad19fb9ed,Transcranial magnetic stimulation of medial prefrontal cortex modulates face expressions processing in a priming task,"Department of Psychology, University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy" 03fd8ab33126baefd0f1b84f4198a44be68dabae,3D facial expression analysis by using 2D AND 3D wavelet transforms,"Institute of Mathematics and Statistics, University of São Paulo, Brazil" 03fd8ab33126baefd0f1b84f4198a44be68dabae,3D facial expression analysis by using 2D AND 3D wavelet transforms,"National Institute of Pure and Applied Mathematics, Brazil" -037aeb661eb8018ae8dd92cc0b4029231dffc60b,3D face recognition method based on medium frequency information of geometry image,"Department of Mechanical and Electronic Engineering, Nanjing Forestry University, China" 035c8632c1ffbeb75efe16a4ec50c91e20e6e189,Kinship verification from facial images and videos: human versus machine,"School of Computing and Information Systems, University of Melbourne, Melbourne, Australia" -03e2aa8a191c7b1a579a7ca4c9ba6b6b6d6e09bd,Pose invariant method for emotion recognition from 3D images,"Amrita Robotic Research Centre, Amrita Vishwa Vidyapeetham, School of Engineering, Bangalore, India" 035fb6317dd793a51c57ccce6f79c4aa1437ea93,Gender prediction from mobile ocular images: A feasibility study,"Dept. of Computer Science and Electrical Engineering, University of Missouri at Kansas City, United States of America" -039b29a58861f78fd4cac0f51c70eb90398091d6,Is a detector only good for detection?,"Sony Electronics Inc., San Jose, CA, USA" 030c82b87e3cdc5ba35c443a93ff4a9d21c2bc2f,"Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recognition","Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ" -0329b7a1694b53d845242cf1e923864742d815f6,Pose interpolation SLAM for large maps using moving 3D sensors,"European Commission, Joint Research Centre (JRC), Institute for Transuranium Elements (ITU), Via Enrico Fermi 2749, Ispra (VA), Italy" 03d1d0a665e358863ff4de9ee7d78f64edd7e756,“Who are you?” - Learning person specific classifiers from video,"INRIA, WILLOW Project, Laboratoire d'Informatique de l'Ecole Normale Superieure, Paris, France" -03c970e744cdfaa170fe8f5a188548c68f2bd4f0,Face super-resolution reconstruction and recognition using non-local similarity dictionary learning based algorithm,"Jiangsu Jinling Sci & Tech Group Co., Ltd, Nanjing 210008, China" -034b8adb06a8ea330581ed8b733166c18034c54c,Face recognition algorithm based on multi-scale CLBP,"Key Laboratory of Work Safety Intelligent Monitoring, EE, BUPT, Beijing, P.R. China" 031641e5ce5c444bc197ac3f7083910b077dd5fe,Cost Sensitive Semi-Supervised Canonical Correlation Analysis for Multi-view Dimensionality Reduction,"School of Information Science and Engineering, Changzhou University, Changzhou, People’s Republic of China" 5cfc1a29243aa3811f67c05cb77e73cf429a47e8,Low-obstacle detection using stereo vision,"Robotics, Systems and Control Program at ETH Zürich, Switzerland" 5cfc1a29243aa3811f67c05cb77e73cf429a47e8,Low-obstacle detection using stereo vision,"Autonomous System Laboratory - CSIRO Digital Productivity Flagship - 1, Technology Court, Pullenvale, QLD, 4066, Australia" -5cccd151d7c36c53bd582a71d780632a79384917,Crafting Personalized Facial Avatars Using Editable Portrait and Photograph Example,"University of Southern California / University of Houston, e-mail: sucontph@usc.edu" -5c0272a7aa3287a84e490ba6dffda68f3faabe85,An ROIs based pedestrian detection system for single images,"Enjoyor Labs, Enjoyor Inc., Hangzhou, China" 5c1218c8d48171c56438433bf30459930742f8bd,Evaluation of optimum path forest classifier for pedestrian detection,"Department of Computational Mechanics, Faculty of Mechanical Engineering, University of Campinas. Rua Mendeleyev, 200 - CEP 13083-860 Cidade Universitária Zeferino Vaz - Campinas - SP" -5c1218c8d48171c56438433bf30459930742f8bd,Evaluation of optimum path forest classifier for pedestrian detection,"Sorbonne universités, Université de technologie de Compiègne, CNRS 7253 UMR/Heudiasyc. CS 60319, 60203 Compiègne cedex" -5c13e88b0a739f02de93126b4d376349588fd58b,Adaptive feature set updating algorithm for multimodal biometrics,"MPSTM, NMIMS University, Mumbai" -5cbc9bb8b7bf21b07e1eb868d718d132311bce90,Large-scale image recognition based on parallel kernel supervised and semi-supervised subspace learning,"College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China" -5cbc9bb8b7bf21b07e1eb868d718d132311bce90,Large-scale image recognition based on parallel kernel supervised and semi-supervised subspace learning,"College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China" -5ce5c3c427d0e696c2c5ac93e76a319529dc0115,Kernel locality-constrained adaptive iterative neighbor embedding for face hallucination,"Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China" 5c138b421a8e7d14c33a1dd99ef57d24833e3e84,Discovering social interactions in real work environments,"Departamento de Informa´tica, Universidad Carlos III de Madrid, Madrid, Spain" 5c526ee00ec0e80ba9678fee5134dae3f497ff08,Contrast compensation by fuzzy classification and image illumination analysis for back-lit and front-lit color face images,Department of mechatronic technology of National Taiwan Normal University -5c892db3c3959fbe6ab488df93c86d97d704f837,A Framework for the Design and Simulation of Embedded Vision Applications Based on OpenVX and ROS,"University of Verona, Department of Computer Science" 5c46e40aa1313e444ddb74cf53c5c7ce0d38366d,"Object identification, enhancement and tracking under dynamic background conditions","Dept. of Electrical and Electronic Engineering, University of Peradeniya" 5c21646d709daa1d9db51caae614c91da3342db8,Feature Selection Based on Structured Sparsity: A Comprehensive Study,"School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA" 5c91fc106cfe9d57a9b149c1af29ca84d403fc7e,3D Pose Tracking With Multitemplate Warping and SIFT Correspondences,"Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA" -5c7964b57fcac612dc18e27e18f98eeba9404707,Fusing visual and range imaging for object class recognition,"General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel" 5c7964b57fcac612dc18e27e18f98eeba9404707,Fusing visual and range imaging for object class recognition,"The center for neural computation, Hebrew university of Jerusalem, Israel 91904" 5c97b70b4e2430dfb9e98bcfeaac77c87e45359e,Semantic context extraction from collaborative networks,"Dept. of Computer, Control and Mgmt. Engineering, University of Rome La Sapienza, Italy" 5cdf477723fde8a738e3cfc0cf367502f68b950b,Learning to Predict Lane Changes in Highway Scenarios Using Dynamic Filters On a Generic Traffic Representation,"Robotics, Perception and Learning Lab, KTH, Stockholm, Sweden" 5c80383fad1f36ff5292817475af1b89327f08ba,Multi-cue road boundary detection using stereo vision,"College of Mechatronic Engineering and Automation National University of Defense Technology Changsha, Hunan, P.R.China" 5c3002f5ed3dd441b5ba73ac68b1b5cc1dfdcb27,Matching cost computation algorithm and high speed FPGA architecture for high quality real-time Semi Global Matching stereo vision for road scenes,"Merses, Center for Applied Research, Pforzheim University, Germany" -5c4f9260762a450892856b189df240f25b5ed333,Discriminative Elastic-Net Regularized Linear Regression,"Department of Information Engineering, Henan University of Science and Technology, Luoyang, China" 5ca467072ec40acb1b6bbf59f1119300741c0aba,Content-Based Photo Quality Assessment,"Department of Information Engineering, Chinese University of Hong Kong" 5ca467072ec40acb1b6bbf59f1119300741c0aba,Content-Based Photo Quality Assessment,"Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong" 5c76da86238e35ba0c01d5c0419a7806b8e20789,Simulation for Training and Testing Intelligent Systems,"Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA" 5c6bb6bf7f3f267cc96a0a00752f914331f10a89,2D to 3D Label Propagation For Object Detection In Point Cloud,"Media Recognition Laboratory, KDDI Research, Inc., Saitama, Japan" -68dbd8c2d61cfe7e3b896ab47850b95c3ce349a8,Low-rank constrained collaborative representation for robust face recognition,"School of Computer science and engineering, Wuhan Institute of Technology, Wuhan, China, 430073" 68dbd8c2d61cfe7e3b896ab47850b95c3ce349a8,Low-rank constrained collaborative representation for robust face recognition,"Department of Electrical and Computer Engineering, Texas A&M University and Monash University, College Station, TX 77843" -68dbd8c2d61cfe7e3b896ab47850b95c3ce349a8,Low-rank constrained collaborative representation for robust face recognition,"School of Economics and Management, Minjiang University, Fuzhou, Fujian, China, 430073" -68eb648a6e18ac15ee31bcabbce64c45db619639,GMM based approach for human face verification using relative depth features,"Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Ltd., Pune, India" 68d7cd64fe0cdb22d44249ec09c195b32a9ed3cd,Fast Object Detection with Occlusions,"Inst. of Information Science, Academia Sinica, Nankang, Taipei, Taiwan" -68d1c9d5cf3c4530171d1e88fee777592e00e1f2,Relaxed collaborative representation for face recognition based low-rank matrix recovery,"School of Mathematics and Statistics, Huazhong University of Science & Technology, Wuhan, 430074, China" 68d1c9d5cf3c4530171d1e88fee777592e00e1f2,Relaxed collaborative representation for face recognition based low-rank matrix recovery,"Department of Computer, College of Science, Diyala University, Diyala, 32001, Iraq" -68d1c9d5cf3c4530171d1e88fee777592e00e1f2,Relaxed collaborative representation for face recognition based low-rank matrix recovery,"Department of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China" 6818c60209f0c4f979d1ff4211aba49afe9ae78d,Face Liveness Detection Using a Flash Against 2D Spoofing Attack,SMC Society of IEEE -6818c60209f0c4f979d1ff4211aba49afe9ae78d,Face Liveness Detection Using a Flash Against 2D Spoofing Attack,"College of Computer and Information Engineering, Henan Normal University, Xinxiang, China" -6818c60209f0c4f979d1ff4211aba49afe9ae78d,Face Liveness Detection Using a Flash Against 2D Spoofing Attack,"Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan" 68f0d2b41b1eb4ea6b5e841c64f48b58b21253b0,Driver Facial Landmark Detection in Real Driving Situations,"Vision and Image Processing Laboratory, Hanbat National University, Daejeon, South Korea" 684114d3f1405efd50ed9a59063936a1a7fdc970,Integrate multi-modal cues for category-independent object detection and localization,"TAMS group, Dept. Informatics, Hamburg University. Vogt-Koelln-Strasse 30, 22527, Germany" 684114d3f1405efd50ed9a59063936a1a7fdc970,Integrate multi-modal cues for category-independent object detection and localization,"Dept. Technology and Nautical Sciences, Aalesund University College, Postboks 1517, N-6025, Norway" -68604e7e1b01cdbd3c23832976d66f1a86edaa8f,Facial Recognition System for Suspect Identification Using a Surveillance Camera,"Computer Science and Engineering, Panimalar Engineering College, Chennai, India" -68604e7e1b01cdbd3c23832976d66f1a86edaa8f,Facial Recognition System for Suspect Identification Using a Surveillance Camera,"Computer Science and Engineering, St.Peter’s University, Chennai, India" -68604e7e1b01cdbd3c23832976d66f1a86edaa8f,Facial Recognition System for Suspect Identification Using a Surveillance Camera,"Computer Science and Engineering, Sanjivani College of Engineering, Kopargaon, India" -68604e7e1b01cdbd3c23832976d66f1a86edaa8f,Facial Recognition System for Suspect Identification Using a Surveillance Camera,"School of Information Technology, Madurai Kamarai University, Madurai, India" -68f09c4615291a88a6cb0268e767ca9e085844fd,Uniface: A Unified Network for Face Detection and Recognition,"China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China" 685fcf13c5e261bf4851ddd1273e048869124ac2,Joint label-interaction learning for human action recognition,"Zhejiang University of Technology 288 Liuhe Rd. Hangzhou, P. R. China, 310023" 68667c5d7144c4ad5c8d447c9891356ebcc83e3f,Core-set based product quantization for large-scale multimedia search,Harbin University of Technology -68667c5d7144c4ad5c8d447c9891356ebcc83e3f,Core-set based product quantization for large-scale multimedia search,Chinese Academy of Science -68fa3ebde4c9da70cea15b57f547a97bf3b698cd,Face recognition with contiguous occlusion based on image segmentation,"College of Computer Science, South-Central University for Nationalities, Wuhan 430074, China" -68fa3ebde4c9da70cea15b57f547a97bf3b698cd,Face recognition with contiguous occlusion based on image segmentation,"College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China" -68fa3ebde4c9da70cea15b57f547a97bf3b698cd,Face recognition with contiguous occlusion based on image segmentation,"Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China" -68d566ed4041a7519acb87753036610bd64dcc09,Lighting Estimation of a Convex Lambertian Object Using Redundant Spherical Harmonic Frames,"College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China" 684f87f29176db22743b327edd070ce366a8cf76,Unsupervised Latent Aspect Discovery for Diverse Event Summarization,"National Taiwan Unversity, Taipei, Taiwan Roc" -687fc78a2e73a21aa0aae29d1499079caaac938c,Lip contour segmentation and tracking compliant with lip-reading application constraints,"Vesalis, Clermont-Ferrand, France" 687fc78a2e73a21aa0aae29d1499079caaac938c,Lip contour segmentation and tracking compliant with lip-reading application constraints,"Département Images et Signal (DIS), GIPSA-Lab, Domaine Universitaire, Grenoble Cedex, France" -6813208b94ffa1052760d318169307d1d1c2438e,Multiple Models Fusion for Emotion Recognition in the Wild,"Peking University & Shanghai Jaio Tong University, Beijing, China" 6856a11b98ffffeff6e2f991d3d1a1232c029ea1,Multiple kernel learning SVM and statistical validation for facial landmark detection,"LAMIA, EA 4540, University of French West Indies & Guyana" 6838a27d34b0a47e44dc94dde63e3f83986c984d,Learned features versus engineered features for multimedia indexing,"Université Grenoble Alpes, CNRS, LIG, Grenoble, France" 6838a27d34b0a47e44dc94dde63e3f83986c984d,Learned features versus engineered features for multimedia indexing,"Université Grenoble Alpes, CNRS, GIPSA-Lab, Grenoble, France" @@ -3017,53 +1770,30 @@ fd2c82efc9a0c84d306fc47b4cfb7e75e4174d46,Human head detection using Histograms o 68cff7e6aad5407f74aa4e7a11ce4ff0102eb7ed,Visual Saliency Estimation via Attribute Based Classifiers and Conditional Random Field,"Bilgisayar Mühendisliği Bölümü, Hacettepe Üniversitesi, Ankara, Türkiye" 68cff7e6aad5407f74aa4e7a11ce4ff0102eb7ed,Visual Saliency Estimation via Attribute Based Classifiers and Conditional Random Field,"Bilgisayar Mühendisliği Bölümü, Bilkent Üniversitesi, Ankara, Türkiye" 681d222f91b12b00e9a4217b80beaa11d032f540,Periocular recognition: how much facial expressions affect performance?,"Department of Computer Science, IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal" -68b01f77c7c4c09c725ff8a6081aa20ac5fbbb39,Multi-user identification and efficient user approaching by fusing robot and ambient sensors,"Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, 70569 Stuttgart, Germany" 681a624e58560745cdc232d9c11a015575d179e7,Multimodal information fusion for urban scene understanding,"UMR CNRS 7253, Heudiasyc, Université de Technologie de Compiègne, Compiègne Cedex, France" 68996c28bc050158f025a17908eb4bc805c3ee55,From facial expression to level of interest: a spatio-temporal approach,"Comput. Sci., State Univ. of New York, NY, USA" -6843531814f19799c86af271b8643411360549e8,Person re-identification using salient region matching game,"School of Software, Henan University, Kaifeng, China" -6843531814f19799c86af271b8643411360549e8,Person re-identification using salient region matching game,"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China" -68e239671615101ce3db879888a27be64b8ee0e3,CNN based key frame extraction for face in video recognition,"Clarkson University, 8 Clarkson Ave, Potsdam, New York" -dc093a8975f97c5c1f18550cf7298982b0c5cdfd,Continuous stereo camera calibration in urban scenarios,"Institute for Autonomous Systems Technology(TAS), University of the Bundeswehr Munich, 85577 Neubiberg, Germany" -dcd319efcd00d73b21e0830ce9ca085aa05b129e,Spatio-temporal keyword queries for moving objects,Freie Universität Berlin dcd319efcd00d73b21e0830ce9ca085aa05b129e,Spatio-temporal keyword queries for moving objects,"Institute for the Management of Information Systems, R.C. Athena" dcd319efcd00d73b21e0830ce9ca085aa05b129e,Spatio-temporal keyword queries for moving objects,Freie Universität Berlin and Fraunhofer Fokus dcc17dda96d1b332f22ca7f396d60c8eea372547,"Detection, Alignment, and Recognition of Partially Occluded Human Face Based on Statistical Learning of Local Features","Kyungpook National University, Buk-gu, Daegu, The Republic of Korea" dcc8c248ab26da04760b50dec4623ee6ea099ef1,Eye movements affirm: automatic overt gaze and arrow cueing for typical adults and adults with autism spectrum disorder,"Department of Psychology, University of Durham, Durham, UK" dcc8c248ab26da04760b50dec4623ee6ea099ef1,Eye movements affirm: automatic overt gaze and arrow cueing for typical adults and adults with autism spectrum disorder,"Southampton University, Southampton, UK" -dcfcc635b299184bb96a020ac6501e4b14fa0674,Gradient Response Maps for Real-Time Detection of Textureless Objects,"Technische Universitat Muenchen, Garching bie Muenchen" dcfcc635b299184bb96a020ac6501e4b14fa0674,Gradient Response Maps for Real-Time Detection of Textureless Objects,"INRIA Grenoble-Rhone-Alpes, Cedex" dcfcc635b299184bb96a020ac6501e4b14fa0674,Gradient Response Maps for Real-Time Detection of Textureless Objects,"EPFL, Lausanne" -dc84d3f29c52e6d296b5d457962c02074aa75d0f,Relative Forest for Visual Attribute Prediction,"360 AI Institute, Beijing, China" -dcc6bc3751191d0c4be131352d5a5bc5d0a26e19,Performance evaluation of CBIR system based on object detection and evolutionary computation,"Govt. College of Engineering, Amravati, India" -dcc6bc3751191d0c4be131352d5a5bc5d0a26e19,Performance evaluation of CBIR system based on object detection and evolutionary computation,"M.I.T. College of Engineering Pune, India" dcc6bc3751191d0c4be131352d5a5bc5d0a26e19,Performance evaluation of CBIR system based on object detection and evolutionary computation,"Govt. College of Engineering, Amravati India" -dc63e89e014beabe084c1dc72838c473d8c7ccfe,Abnormal event detection in crowded scenes based on deep learning,"School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China" -dc63e89e014beabe084c1dc72838c473d8c7ccfe,Abnormal event detection in crowded scenes based on deep learning,"Modern Economics & Management College, Jiangxi University of Finance and Economics, Nanchang, China" dc63e89e014beabe084c1dc72838c473d8c7ccfe,Abnormal event detection in crowded scenes based on deep learning,"Department of Computational Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea" dca13f5fba4a93039958abc7ef94ced7e16e5361,Robust face recognition via sparse reconstruction vector,"Department of Computer Sciences, Suleyman Demirel University, Almaty, Kazakhstan" -dca6ce475f6c2496a5f87e853d18e4b37fb27fb2,Kernel Sparse Representation Based Dimensionality Reduction with Applications to Image Classification,"Shaoguan University, Shaoguan, Guangdong, China" dc2b9fa93b4fffe066e21e6d20f254acf27e0988,An efficient face identification method in a transformed domain,"EUP Mataró, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN" dc2b9fa93b4fffe066e21e6d20f254acf27e0988,An efficient face identification method in a transformed domain,"Dep. Enginyeria Electrònica, C/ Colom 1 08222 Terrassa, UPC-CAMPUS TERRASSA, BARCELONA, SPAIN" -dc0341e5392c853f11283e99a7dc5c51be730aca,Simple head pose estimation in still images,"Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania" dced1e101af923fd1a70c09df972f3b81a998a6b,Three-Dimensional Occlusion Detection and Restoration of Partially Occluded Faces,"DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Università degli Studi di Milano–Bicocca, Milano, Italy" dcb38b469b47ca409fda54a5f0fa3b8fdbb9e3fb,Face recognition using Regularized Linear Discriminant Analysis under occlusions and illumination variations,"University of Benghazi, Faculty of Information Technology(IT), Libya" dca2bb023b076de1ccd0c6b8d71faeb3fccb3978,Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks,"Academia Sinica, Taipei, Taiwan" dca8ad055f33ddc2015e870b3ee331a6de524399,Semantic soft segmentation,"MIT CSAIL and ETH Zürich, Switzerland" dceb0c8093171d5d044fb23b7a9b212634babbc2,Automatic video stream indexing and retrieving based on face detection using wavelet transformation,"Math Dept, Faculty of Science, Helwan University, Cairo-Egypt" dc128d77a641312f358071edfd12f05988306465,Pain detection from facial characteristics using supervised descent method,"Technical University of Sofia, 8 Kl. Ohridski blvd., Sofia 1000, Bulgaria" -dc5e9f75235dcb4ec39259f82574cd6ffd3611de,Analysis of Multi-planar Probability Maps for People Localization in Overlapping Camera Systems,"Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France" 79d8551dbe25b0e979ce0034f0721b3bb5f30859,AdaBoost Multiple Feature Selection and Combination for Face Recognition,"CVLab, Aragon Institute for Engineering Research, University of Zaragoza, Spain" -79dccc435d82c3e720f713030b39e013382cf057,Logo information recognition in large-scale social media data,"School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China" 79dccc435d82c3e720f713030b39e013382cf057,Logo information recognition in large-scale social media data,"A*STAR, Institute for Infocomm Research, Singapore, Singapore" 79a166bf02402f7ed9947b826afc72f24f65b311,When do Crowds Turn Violent? Uncovering Triggers from Media,"Department of Computer Science, Virginia Tech, Discovery Analytics Center" -79cabc5664dade1d486f076a124a92859269b80e,Detection of mud on camera lens for advance driver assistance system,"R.V. College of Engineering, Bengaluru, India" -79cabc5664dade1d486f076a124a92859269b80e,Detection of mud on camera lens for advance driver assistance system,"R. V. College of Engineering, Bengaluru, India" -791d46aa9cdd40bc9d82067a2e9b71785c62838b,Hallucinating face by eigentransformation,"Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China" -79584ed8638392e253ffae2d5ec936239d088285,An approach to face detection and alignment using hough transformation with convolution neural network,"Computer Science & Engineering Department B.T.K.I.T Dwarahat Almora, India" -798de108d7055752d0d2d97fbff6579c0c750e82,Domain adaptive sparse representation-based classification,"Adobe Research, Bangalore, India" 79664cea983880bc4b9fbe4d4291b7d3f2b5dbc3,Dynamic Features for Iris Recognition,"Electrical Engineering Department, University of São Paulo, São Carlos, Brazil" -790099d124b798ff055a8ab3ec49bfb5d2d5350e,Pedestrian Detection in Video Images via Error Correcting Output Code Classification of Manifold Subclasses,"College of Engineering, Center of Engineering Technology, Graduate University of the Chinese Academy of Sciences, Beijing, China" -790099d124b798ff055a8ab3ec49bfb5d2d5350e,Pedestrian Detection in Video Images via Error Correcting Output Code Classification of Manifold Subclasses,"College of Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China" 795b555abb26e62ad89a93645122da530327c447,The enhanced face recognition using binary patterns of Gabor features,"Department of ECE, East West University, Dhaka, Bangladesh" 795b555abb26e62ad89a93645122da530327c447,The enhanced face recognition using binary patterns of Gabor features,"Department of CSE., Northern University. Dhaka, Bangladesh" 79d899a672d4ff83f018276fb7fe6b1f4342e8b3,Facial recognition using histogram of Gabor phase patterns and self organizing maps,ABV-IIITM Gwalior - India @@ -3071,21 +1801,16 @@ dc5e9f75235dcb4ec39259f82574cd6ffd3611de,Analysis of Multi-planar Probability Ma 79d899a672d4ff83f018276fb7fe6b1f4342e8b3,Facial recognition using histogram of Gabor phase patterns and self organizing maps,Manipal University Manipal-India 79d899a672d4ff83f018276fb7fe6b1f4342e8b3,Facial recognition using histogram of Gabor phase patterns and self organizing maps,Thapar University Patiala-India 79d899a672d4ff83f018276fb7fe6b1f4342e8b3,Facial recognition using histogram of Gabor phase patterns and self organizing maps,VNIT Nagpur-India -79dd5743438963d9fe4793f7c27530f2e7c4b20d,ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview,"ChaLearn, California, USA" 79dd5743438963d9fe4793f7c27530f2e7c4b20d,ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview,"Simula Research Laboratory, Norway" 79dd5743438963d9fe4793f7c27530f2e7c4b20d,ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview,"Dept. Mathematics and Computer Science, UB, Spain" 79dd5743438963d9fe4793f7c27530f2e7c4b20d,ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview,"University of Applied Sciences Western Switzerland, Sierre, Switzerland" 79dd5743438963d9fe4793f7c27530f2e7c4b20d,ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview,"Multimedia Information Retrieval Lab Delft University of Technology, Netherlands" -7957abae15f631c5f5c50de68aa2ad08fe1f366f,SVM classifier for face recognition based on unconstrained correlation filter,"Dept. of Electrical Engineering, Future Institute of Engineering and Management, Kolkata -700150, India" -7957abae15f631c5f5c50de68aa2ad08fe1f366f,SVM classifier for face recognition based on unconstrained correlation filter,"Department of Applied Optics and Photonics, University of Calcutta, 92 APC Road, Kolkata 700009, India" 795cef320de562836caccfc6c6d2b99b3f38fc8f,Towards vegetation species discrimination by using data-driven descriptors,"Department of Computer Science, Universidade Federal de Minas Gerais – UFMG 31270-010, Belo Horizonte, MG – Brazil" 795cef320de562836caccfc6c6d2b99b3f38fc8f,Towards vegetation species discrimination by using data-driven descriptors,"Sao Paulo State University – UNESP 13506-900, Rio Claro, SP - Brazil" 795cef320de562836caccfc6c6d2b99b3f38fc8f,Towards vegetation species discrimination by using data-driven descriptors,"Institute of Computing, University of Campinas – UNICAMP 13083-852, Campinas, SP – Brazil" 7959218f3beadbb058844552874547520799a3f9,Driving posture recognition by convolutional neural networks,"Department of Computer Science, The University of Liverpool, UK" -797230c284a24ae7b3c9781f8188a59345b90838,Improving robot reactivity to passers-by with a faster people detector,"LAAS-CNRS and Universite Paul Sabatier, Toulouse, France" 79c6dc2bfbe3c4d8e21f4bfd36163abd2b3074ab,Hierarchical covariance description for 3D face matching and recognition under expression variation,"ETIS/ENSEA, University of Cergy-Pontoise, CNRS, UMR 8051, France" 79c6dc2bfbe3c4d8e21f4bfd36163abd2b3074ab,Hierarchical covariance description for 3D face matching and recognition under expression variation,"Labged Laboratory, Computer Science Department, Badji Mokhtar Annaba University, Algeria" -79617903c5cb56697f2e738e1463b9654e2d68ed,Maximum Margin Correlation Filter: A New Approach for Localization and Classification,"Lockheed Martin Corporation, Orlando, FL, USA" 792f04e729f1a3efa42d40bb9c57cbcb5e6d880c,Hill-climbing attack to an Eigenface-based face verification system,"Biometric Recognition Group-ATVS, EPS, UAM, C/ Francisco Tomas y Valiente 11, 28049 Madrid, Spain" 79931447522097044cbc89e4bc2f69dd6e8f0e58,Person Re-identification by Multi-hypergraph Fusion,"Department of Computer Science and Engineering, University of California, Riverside, CA, USA" 798e58c181f3ba3aecbe41acd1881860c5e2df3a,Lattice Computing Extension of the FAM Neural Classifier for Human Facial Expression Recognition,"Human-Machines Interaction (HMI) Laboratory, Department of Industrial Informatics, TEI of Kavala, Kavala, Greece" @@ -3093,163 +1818,88 @@ dc5e9f75235dcb4ec39259f82574cd6ffd3611de,Analysis of Multi-planar Probability Ma 799629203a7055764380b12b0406b94653de325e,Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference,"Department of Perception Engineering, University of Tuebingen, Germany" 7938d26e7681048690c917b67e206c1b8ea3dcc9,An ontology for generating descriptions about natural outdoor scenes,"University at Buffalo, SUNY, NY 14260, USA" 7996a71a86693a721e45ff9482d286a310ada3ad,Multi-PN-learning for tracking applications,"Cognitive Systems Group, SFB/TR 8 Spatial Cognition, University of Bremen" -7975f12187a7686d861054649845ccc634c3b00f,Facial expression analysis using a sparse representation based space model,"College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, China" e994ae6b25c082a541cd68354ef4e4952420f705,Ultrasound time mapping based human face identification system,"Department of Electrical Engineering, Universitas International Batam, Indonesia" -e994ae6b25c082a541cd68354ef4e4952420f705,Ultrasound time mapping based human face identification system,"Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia" -e994ae6b25c082a541cd68354ef4e4952420f705,Ultrasound time mapping based human face identification system,"Advanced Diagnostics and Progressive Human Care Research Group, Universiti Teknologi Malaysia, Malaysia" e963ac953e084f6223a5d8379a52631508426ed7,"FCN and LSTM Based Computer Vision System for Recognition of Vehicle Type, License Plate Number, and Registration Country","Institute of Electronics and Computer Science, Riga, Latvia" -e963ac953e084f6223a5d8379a52631508426ed7,"FCN and LSTM Based Computer Vision System for Recognition of Vehicle Type, License Plate Number, and Registration Country","SQUALIO Cloud Consulting, Riga, Latvia" -e96540252f2f83e394012d653452411efb9f744f,Face expression recognition system based on ripplet transform type II and least square SVM,"Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India" e9d7b52f6b2f6e2b81909288939d3f2d3797f0ae,Face recognition independent of facial expression through SOM-based classifiers,"The authors are with the Department of Teleinformatics Engineering,Federal University of Ceará C.P. 6007, CEP: 60555-760,Fortaleza-CE, Brazil" -e97f551cf836b51e44464eeb84a86fda00914a8a,Social Image Tagging With Diverse Semantics,Microsoft e97f551cf836b51e44464eeb84a86fda00914a8a,Social Image Tagging With Diverse Semantics,Microsoft Research Asia e9336cd4c63139c481c2ed9624b04f5b9a477d80,Dynamic objects detection and tracking for a laser scanner and camera system,"School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China" e9a8e80bbb4cef2167dfc0505392518a087b7e0a,Detection of pedestrians from still images,"Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, Turkey" -e989a827fa3b00941410364cd3507e4779bffb69,Person re-identification by the asymmetric triplet and identification loss function,"The Institute of Artificial Intelligence and Robotic, School of Electronic and Information Engineering, Xi’an Jiaotong University, Shaanxi, China" -e95cdc2997760c90aaaac6561c84e68d5f94aa36,Alextrac: Affinity learning by exploring temporal reinforcement within association chains,"Queensland University of Technology (QUT), Australia" e99665790f3d2f19a25cdad4d07226f339f2522b,Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA,"Advanced Analytics Institute, University of Technology, Sydney, Australia" e99665790f3d2f19a25cdad4d07226f339f2522b,Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA,"CPHHI, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia" e99665790f3d2f19a25cdad4d07226f339f2522b,Robust 2D Joint Sparse Principal Component Analysis With F-Norm Minimization For Sparse Modelling: 2D-RJSPCA,"Faculty of Engineering & IT University of Technology, Sydney, Australia" e9e215b9910c8009e80d8edd77f3bbcce9666207,Large-Scale Situation Awareness With Camera Networks and Multimodal Sensing,"School of Information and Computer Sciences, University of California at Irvine, Irvine, CA, USA" e9e215b9910c8009e80d8edd77f3bbcce9666207,Large-Scale Situation Awareness With Camera Networks and Multimodal Sensing,"Weyond, Princeton, NJ, USA" -e97dbd90d97ae8f499a399d5fa2780d6ca08a393,"Learning ""verb-object"" concepts for semantic image annotation","Institute of Automation, CAS, Beijing, China" e97dbd90d97ae8f499a399d5fa2780d6ca08a393,"Learning ""verb-object"" concepts for semantic image annotation","National University if Singapore, Singapore, Singapore" -e99718d08aca2c49cd2848eebdbb7c7855b4e484,Deep neural networks and maximum likelihood search for approximate nearest neighbor in video-based image recognition,"National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, Nizhny Novgorod, Russia" e91783cd31ffe99b050a3d2ee06f632385079423,Large-scale face images retrieval: A distribution coding approach,"Digital Media Lab, Department of Applied Physics and Electronics, Umeå University, 901-87, Sweden" e97a0cbd5f6a239a351855f691c917d9338d7116,Semi automatic annotation tool,"Elektrik ve Elektronik Mühendisliği Bölümü, Makine ile Öğrenme ve Bilgisayarlı Görü Laboratuvarı, Eskişehir Osmangazi Üniversitesi" e92855e7f939c0b43bb4e14e932b6ed4e9312259,Single-View 3D Scene Reconstruction and Parsing by Attribute Grammar,"San Diego State University (SDSU), San Diego, CA" e92855e7f939c0b43bb4e14e932b6ed4e9312259,Single-View 3D Scene Reconstruction and Parsing by Attribute Grammar,"Massachusetts Institute of Technology (MIT), Cambridge, MA" e92855e7f939c0b43bb4e14e932b6ed4e9312259,Single-View 3D Scene Reconstruction and Parsing by Attribute Grammar,"University of California at Los Angeles (UCLA), Los Angeles, CA" -e95c5aaa72e72761b05f00fad6aec11c3e2f8d0f,Gabor Filter Based Face Recognition Using Non-frontal Face Images,"Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, India" -e935270db6bd778283de9767075763a538181d8e,"Detection of multiple, co-occurring actions in video frames","PES Center for Pattern Recognition, PESIT - Bangalore South Campus, India" -e935270db6bd778283de9767075763a538181d8e,"Detection of multiple, co-occurring actions in video frames","PES Center for Pattern Recognition, PESIT- Bangalore South Campus, India" -e905d36e04aeb356c07182b840ebcabb417e7c9b,From local representation to global face hallucination: A novel super-resolution method by nonnegative feature transformation,"Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, 430073, China" e98022f21f7d31a056e027bd1d499a5285ed52f7,Face recognition under partial occlusion and noise,"Institute of Telecommunications, Slovak University of Technology Bratislava, Slovakia" -e98022f21f7d31a056e027bd1d499a5285ed52f7,Face recognition under partial occlusion and noise,"Institute of Computer Science and Mathematics, Slovak University of Technology, Bratislava, Slovakia" e9bfde4d9898a886c340e5ce4337c2969207990e,Multi-source approach for crowd density estimation in still images,"Malviya National Institute of Technology Jaipur, India-302017" e93a67a091e6d51a762a5e9754d3a12654508f31,Contextural feature evaluation of multi-resolution imagery,"Department of Geography, George Washington University, USA" -e9b6804cd56cadb9342ec2ce412aacba7afd0723,Face recognition from video using generalized mean deep learning neural network,"Department of Computer Science & Engineering, Visvesvaraya National Institute of Technology, Nagpur, India" -e9b72a152928f683aad5f81347777534b6715e67,Person re-identification with mutual re-ranking,"Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam" e91ea0179977bd295751c6436f385fb3fe1ca3ff,Pointwise and pairwise clothing annotation: combining features from social media,"Department of Computer Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil" e9d82ae7530e605c03440d362d78663c4af0edb6,Object Detection Using Color Entropies and a Fuzzy Classifier,"Department of Electrical Engineering, National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C." 259ddd3c618feec51576baac7eaaf80ea924b791,Private emotions versus social interaction: a data-driven approach towards analysing emotion in speech,"Lehrstuhl für Mustererkennung, FAU Erlangen – Nürnberg, Erlangen, Germany" -25110f89ffe3d3c49945b06771d0e27d4a2761e6,Local directional gradient pattern: a local descriptor for face recognition,"Department of Information Technology, Indian Institute of Information Technology, Allahabad, India" 250c8de6e884b5447d0b63d28855eb5078562197,Convexity and Bayesian constrained local models,"Imense Ltd, Cambridge, UK" -25b2811118ed73c64682544fe78023bb8242c709,Kernel-based multifactor analysis for image synthesis and recognition,"Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China" 2524d9d45471fa8908b17f04060b68e7cfeff841,Wizard of Oz revisited: Researching on a tour guide robot while being faced with the public,"University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany" -25bfe2d9fc573c2250ec3d7b084a0d50db06004f,Deep discriminative network with inception module for person re-identification,"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 518055" 251e386a90f21db6d02806395b012b297cbf06ff,DIEDA: discriminative information based on exponential discriminant analysis combined with local features representation for face and kinship verification,"University of Sciences and Technology (USTHB) and CERIST, Algiers, Algeria" 251e386a90f21db6d02806395b012b297cbf06ff,DIEDA: discriminative information based on exponential discriminant analysis combined with local features representation for face and kinship verification,"Department of Electrical Engineering, University of Mohamed Khider, Biskra, Algeria" -252f912df6f301eb35923f97dda5db731fed2446,The role of emotional scenes in facial expressional recognition: Priming versus contextual effect,"School of Sociology, China University of Political Science and Law, Beijing 102249, China" 250466b42c0b690724c4d2c7ff61ecae489be356,Recognizing Products: A Per-exemplar Multi-label Image Classification Approach,"Department of Computer Science, ETH Zurich, Switzerland" -2596b967f0768b64a12e53b24661ffe8f2ac4d1b,Plastic Surgery: A New Dimension to Face Recognition,"Indraprastha Institute of Information Technology (IIIT), Delhi, India" -2596b967f0768b64a12e53b24661ffe8f2ac4d1b,Plastic Surgery: A New Dimension to Face Recognition,"Department of Plastic and Reconstructive Surgery, Indraprastha Apollo Hospital, Delhi, India" -250c0c37947d6dc32e1923c8df99bf64dc5d7e10,Implicit Negative Sub-Categorization and Sink Diversion for Object Detection,"AI Institute of Qihoo 360, Beijing, China" 255290a1c4ff72ee7c6d78474e4fc4e62cdb1f31,An improvement of multi-scale covariance descriptor for embedded system,"Laboratory of Computer and Embedded Systems, National School of Engineering of Sfax, Sfax University, Sfax, Tunisia" 255290a1c4ff72ee7c6d78474e4fc4e62cdb1f31,An improvement of multi-scale covariance descriptor for embedded system,"Digital Research Center of Sfax, Sfax University, Sfax, Tunisia" 255290a1c4ff72ee7c6d78474e4fc4e62cdb1f31,An improvement of multi-scale covariance descriptor for embedded system,"Electrical and Computer Engineering Department, Faculty of Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman" -255290a1c4ff72ee7c6d78474e4fc4e62cdb1f31,An improvement of multi-scale covariance descriptor for embedded system,"MMA Laboratory, National Institute of the Applied Sciences and Technology, Carthage University, Tunis, Tunisia" 25bd32b6332093ebc938b55b7096094f3fd22cdc,Effects of illumination changes on the performance of Geometrix FaceVision/spl reg/ 3D FRS,"Ind. Technol., Purdue Univ., West Lafayette, IN, USA" 25aa2410b759d98c7102f071a17c3b8934395048,3D Face Recognition Using Isogeodesic Stripes,"Università degli Studi di Firenze, Firenze" 2533c88b278e84a248200d3c5a281177d392e78f,A Combined Rule-Based & Machine Learning Audio-Visual Emotion Recognition Approach,"Department of Computer Science and Networked Systems, Sunway University, Subang Jaya, Malaysia" 25dbf9b12475454585d5050c5cf446e1c4f6dd27,"Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera","ETH Zurich, Zurich" -25dbf9b12475454585d5050c5cf446e1c4f6dd27,"Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera","LiberoVision AG, Zurich" -25dbf9b12475454585d5050c5cf446e1c4f6dd27,"Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera","ETH Zurich, Zurich and ESAT-PSI/IBBT, KU Leuven" 25d7067e0120c6eb863f03a420e644ebbcf2ceed,Ongoing Evolution of Visual SLAM from Geometry to Deep Learning: Challenges and Opportunities,"School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK" -2564848f094f7c1cd5e599aa907947b10b5c7df2,Intelligent Expression Blending for Performance Driven Facial Animation,Member -252f01e74cc32435da52a42229c8102a88698e3a,Domain Adaptation on Correlated subspace for Unseen Multiview Headpose Classification,"Dept. of Electrical Engineering, Indian Institute of Science Bengaluru, India" -254d4206f4a68862e6e6c45b0938868e84cc67d0,Comparison of face image quality metrics: Electronic and legacy mug shots,"Center for Development of Advanced Computing, Mumbai, India" -550e5d7f607951d7e33e8f23eb6b6bc97780915a,"Combining Facial Parts For Learning Gender, Ethnicity, and Emotional State Based on RGB-D Information","LRIT, associated unit to CNRST (URAC 29), Mohammed V University in Rabat, B.P. 1014, Rabat, Morocco" 556545eec370b9d300fc044a1aa63fc44fd79b0f,Comparative object similarity for improved recognition with few or no examples,Dept. of Electrical and Computer Engineering University of Illinois Urbana-Champaign (UIUC) 556545eec370b9d300fc044a1aa63fc44fd79b0f,Comparative object similarity for improved recognition with few or no examples,Dept. of Computer Science University of Illinois Urbana-Champaign (UIUC) -55f7699e768457d40c5232448cdca4503db2821b,Temporal consistency object tracker with ranking mechanism,"School of Computer, Jiaying University, Guangdong, China" -55f7699e768457d40c5232448cdca4503db2821b,Temporal consistency object tracker with ranking mechanism,"Department of Audit, Jiaying University, Guangdong, China" -55f7699e768457d40c5232448cdca4503db2821b,Temporal consistency object tracker with ranking mechanism,"School of Mechanical & Electrical Engineering, Longyan University, Fujian, China" 559b95b135a842f8946f62067de7e0c523870d2a,Pictorial Structures Model based human interaction recognition,"Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan" 554b8ddce8bd1d06bb09129cf654bc793406d4ff,Adaptive cartooning for privacy protection in camera networks,"Institute of Networked and Embedded Systems and Lakeside Labs, Alpen-Adria-Universität Lakeside Park B02b, 9020 Klagenfurt, Austria" 554b8ddce8bd1d06bb09129cf654bc793406d4ff,Adaptive cartooning for privacy protection in camera networks,"Institute of Informatics, University of Szeged Arpád tér 2, 6720 Szeged, Hungary" 55aafdef9d9798611ade1a387d1e4689f2975e51,Hallucinating Compressed Face Images,"Electrical Engineering and Computer Science, School of Engineering, University of California at Merced, Merced, USA" -5585f55bbfae39b032a24521ce65f905afd69a3e,Machine Learning VS Transfer Learning Smart Camera Implementation for Face Authentication,"Le2i EA, Université de Bourgogne Franche-Comté, Dijon, FRANCE" 55ecf12976d0dfff50122ef87b88bd4ae1241305,Toward a distributed benchmarking tool for biometrics,"Université de CaenBasse-Normandie, UMR 6072 GREYC, F-14032 Caen, France" 5509acb71d28a18915939b6b68a2620c07f6cdc8,Mobile Re-Identification Based on Local Features Analysis,"University of Udine, Udine, Italy" 5535c0f3b8e27dec1437845fe362b8b6924d9e8d,Unsupervised co-segmentation through region matching,"Center for Visual Computing, Ecole Centrale de Paris, France" -55d01b7314d78fe3bc5ae03b6e414ecba14188f8,"Cognitive Inspired WOR Framework to Reveal Image Semantics, for Efficient Content Based Image Retrieval","Department of CS&E, IIT Madras, India" -5567d6ac4f88b48bd1fb364e546236131a64fecb,Generalized Fourier Descriptors with Applications to Objects Recognition in SVM Context,"Le2i, UMR CNRS 5158, University of Burgundy, Dijon, France" -5567d6ac4f88b48bd1fb364e546236131a64fecb,Generalized Fourier Descriptors with Applications to Objects Recognition in SVM Context,"Laboratory of Electronics (EμE), FSM, Monastir, Tunisia" -55968c9906e13eff2a7fb03d7c416a6d0f9f53e0,HFS: Hierarchical Feature Selection for Efficient Image Segmentation,"CCCE & CS, Nankai University, Tianjin, China" -55968c9906e13eff2a7fb03d7c416a6d0f9f53e0,HFS: Hierarchical Feature Selection for Efficient Image Segmentation,"UCSD, San Diego, USA" -5552d34933adcc74d0e3ca8cdbb93cfe3b1aaf46,Automatic Eye Gaze Estimation using Geometric & Texture-based Networks,"Learning Affect and SemantIc Imaging (LASII) Group, Indian Institute of Technology Ropar, India" 5507497aac9907f49effe0433c4a3d8ecbf24018,A deformation and lighting insensitive metric for face recognition based on dense correspondences,"Centre de Mathématiques et de Leurs Applications, Ecole Normale Supérieure de Cachan" 552122432b92129d7e7059ef40dc5f6045f422b5,Empowering Simple Binary Classifiers for Image Set Based Face Recognition,"Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), Canberra, Australia" 5578ce163920cc5ccfd709e6ada927d508272b51,Structural SVM for visual localization and continuous state estimation,"TTI-Chicago, USA" -55bc43bc2b34acf3ab0cf0a4ef901ef5b786baf1,Are we ready for autonomous driving? The KITTI vision benchmark suite,Toyota Technological Institute at Chicago 55432723c728a2ce90d817e9e9877ae9fbad6fe5,"Performance of SVM, CNN, and ANN with BoW, HOG, and Image Pixels in Face Recognition","Department of Electronics and Communication Engineering, Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh" 55436c98bc60a18472bcab364386d43c0841b651,Signal processing techniques for natural sleep posture estimation using depth data,"Networked Robotics and Sensing Laboratory, Engineering Science School in Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada" 55ea407e4e5aa3f8b8ba7663abdf8926dcdafa19,Continuous Stereo Self-Calibration on Planar Roads,"Institute for Autonomous Systems Technology (TAS), Bundeswehr University Munich, Neubiberg, 85577, Germany" 55266ddbe9d5366e8cd1b0b645971cad6d12157a,Face recognition classifier based on dimension reduction in deep learning properties,"Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye" -552020318f81082b06d7ba12f0010e27d360d77b,Decision fusion for frontal face verification,"Fakulti Teknologi Maklumat Dan Sains, Kuantitatif, UiTM, Shah Alam, 40000, Selangor, Malaysia" -552020318f81082b06d7ba12f0010e27d360d77b,Decision fusion for frontal face verification,"Fakulti TeknologiDan Sains Maklumat, UKM, Bangi, 43600 Selangor, Malaysia" -55c46ae1154ed310610bdf5f6d9e7023d14c7eb4,Adaptive multimodal recognition of voluntary and involuntary gestures of people with motor disabilities,"Pennsylvania State University, University Park, PA" 55f669d7def736aa2f9454a8645cadc55df9ad87,SSGA & EDA based feature selection and weighting for face recognition,"Center for Advanced Studies in Identity Sciences, North Carolina A&T State University" -55f669d7def736aa2f9454a8645cadc55df9ad87,SSGA & EDA based feature selection and weighting for face recognition,"Center for Advanced Studies in Identity Sciences, The University of North Carolina at Wilmington" -f5edbb47a9a200c17f0c34ec8cb6fc4a2f9cfc20,Method of multimodal biometric data analysis for optimal efficiency evaluation of recognition algorithms and systems,"Department of Complex Systems, Computer Center, Russian Academy of Sciences, Moscow, Russia" -f557df59cd088ffb8e27506d8612d062407e96f4,Multimedia event detection with ℓ2-regularized logistic Gaussian mixture regression,"School of Computer Science, Wuyi University, Jiangmen, China" f557df59cd088ffb8e27506d8612d062407e96f4,Multimedia event detection with ℓ2-regularized logistic Gaussian mixture regression,"Adjunct, Effat University, Jeddah, Saudi Arabia" -f5f5db54551556418c45ef009cec4647e7d0bc58,Facial Expression Recognition by Calculating Euclidian Distance for Eigen Faces Using PCA,"Department of Computer Science, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Sciences, Mysuru Campus, Karnataka, India" f59c58b446e3f2eca4147241a64c051311a7c57a,Face Recognition Using Local Mapped Pattern and Genetic Algorithms,"Department of Applied Mathematics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil" f59c58b446e3f2eca4147241a64c051311a7c57a,Face Recognition Using Local Mapped Pattern and Genetic Algorithms,"Dep. Computer Science and Statistics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil" f59c58b446e3f2eca4147241a64c051311a7c57a,Face Recognition Using Local Mapped Pattern and Genetic Algorithms,"ICMC-USP, São Carlos, São Paulo, Brazil" -f56e31e46720f12b421632c4cc9a56469a681732,BigSUR: large-scale structured urban reconstruction,Miami University f5f87a0bd3afc8372759f0995bdef7106381ab7f,Towards distributed face recognition on self organized storage built from wireless sensor nodes,"The University of the West Indies, Mona Campus, Kingston 7, Jamaica, W.I." f550f8303406cc0056a1f619f774b68eccf126f5,Counting pedestrians with a zenithal arrangement of depth cameras,"CICATA Querétaro, Instituto Politécnico Nacional, Querétaro, Mexico" -f5f56fc9eb19923520aaef6703426552a713680b,Visual-based on-road vehicle detection: A transnational experiment and comparison,"Toyota Central R&D Labs., Inc., Nagakute, Aichi, Japan" -f5f56fc9eb19923520aaef6703426552a713680b,Visual-based on-road vehicle detection: A transnational experiment and comparison,"Research Center for Smart Vehicles, Toyota Technological Institute, Hisakata, Nagoya, Aichi, Japan" f52a5e4e21daf4156bb0eafaadd77865e56a9aa5,Convolutional neural networks for image classification,"LA.R.A Laboratory, National Engineering School of Tunis, National Engineering School of Carthage, Tunis, Tunisia" -f53ac4a7f9dc5b641fed6a48187e12fc9cac7a87,How to compare search engines in CBIR?,"Systems Research Institute, Polish Academy of Sciences, 6 Newelska Street, 01-447 Warsaw, Poland" -f54ce6b62e9889832d891f2aada677171d4219fe,Concept-Level Multimodal Ranking of Flickr Photo Tags via Recall Based Weighting,"Motilal Nehru National Institute of Technology, Allahabad, India" f5acfc4c017447ea94c9d9cb19a9f1fcd4aa51e6,Facial expression analysis in e-learning systems - the problems and feasibility,"Fac. of Inf. Technol., Multimedia Univ., Malaysia" -f56c407f918cf89ffa2ec3c51c383d53510c10e1,A progressive method of face clustering for mobile phone applications,"Samsung Research & Development Institute, Bangalore, India" f59ccad6b7f76bd8cd5d6bbf867b2236c9b01e02,Comparison of three face recognition algorithms,"School of Computing, University of Southern Mississippi, Hattiesburg, 39406, USA" f53f990a22967b3eb6c9e9cde81d50a63b6a46d5,Exploiting Learning and Scenario-Based Specification Languages for the Verification and Validation of Highly Automated Driving,"OFFIS, Oldenburg, Germany" f53f990a22967b3eb6c9e9cde81d50a63b6a46d5,Exploiting Learning and Scenario-Based Specification Languages for the Verification and Validation of Highly Automated Driving,"Robert Bosch GmbH, Abstatt, Germany" -f5be2fae5ba5e7d3550565867e6b79abef8e3f0a,Online Learning of Discriminative Patterns from Unlimited Sequences of Candidates,"University of Helsinki, Finland" f5440f03e54a2e8e5b698a9872a6f2968807c446,Transfer learning based on the observation probability of each attribute,"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0815, Japan" -6eee5d9c5343b7953028a49d202caa683ed9b448,The Research of Multi-angle Face Detection Based on Multi-feature Fusion,"Institute of Information Technology and Network Security, People’s Public Security University of China, Beijing, China" -6e4f07882d417a76fd7f25d89e848f944c3b3c3e,Recognizing objectionable images using convolutional neural nets,"Iran University of Science and Technology, Tehran, Iran" -6e4f07882d417a76fd7f25d89e848f944c3b3c3e,Recognizing objectionable images using convolutional neural nets,"Shahrood University of technology, Shahrood, Iran" 6efa147457e1ce984f6418d219e14d94ef6cfbce,Real-time scale-invariant face detection on range images,"IMAGO Research Group, Universidade Federal do Paraná, 81531-980 Curitiba, Brazil, PO Box 19092" 6e17c16fda71e8cd7abcf5b52b7f6438a69d9958,Integrating Social Grouping for Multitarget Tracking Across Cameras in a CRF Model,"Department of Computer Science, University of California at Riverside, Riverside, CA, USA" 6e17c16fda71e8cd7abcf5b52b7f6438a69d9958,Integrating Social Grouping for Multitarget Tracking Across Cameras in a CRF Model,"Center for Research in Intelligent Systems, University of California at Riverside, Riverside, CA, USA" -6e7302a08e04e2120c50440f280fb77dcd5aeb35,Emotion recognition with multimodal features and temporal models,"Renmin University of China, China" -6e7302a08e04e2120c50440f280fb77dcd5aeb35,Emotion recognition with multimodal features and temporal models,"IBM Research Lab, China" 6e9de9c3af3258dd18142e9bef2977b7ce153bd5,Computer Vision – ECCV 2016 Workshops,"Facebook AI Research (FAIR), Menlo Park, USA" -6ede0d34104d1f5821654039f0ac8532f39dacb0,F-SED: Feature-Centric Social Event Detection,"University Pau & Pays Adour, LIUPPA, EA3000, Mont De Marsan, France" 6ede0d34104d1f5821654039f0ac8532f39dacb0,F-SED: Feature-Centric Social Event Detection,"University Pau & Pays Adour, LIUPPA, EA3000, Anglet, France" 6ede0d34104d1f5821654039f0ac8532f39dacb0,F-SED: Feature-Centric Social Event Detection,"University of Balamand, Souk El Ghareb, Lebanon" 6ede0d34104d1f5821654039f0ac8532f39dacb0,F-SED: Feature-Centric Social Event Detection,"Dept. de Computación, Universidad Simón Bolívar, Caracas, Venezuela" 6e46d8aa63db3285417c8ebb65340b5045ca106f,Accelerating Machine Learning Inference with Probabilistic Predicates,"Microsoft &University of Washington, Redmond, WA, USA" 6e46d8aa63db3285417c8ebb65340b5045ca106f,Accelerating Machine Learning Inference with Probabilistic Predicates,"Princeton University &Microsoft, Princeton, NJ, USA" -6e87f48c283d4e7df9f8f69505d1c54714c02a17,A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features,"Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India" -6e87f48c283d4e7df9f8f69505d1c54714c02a17,A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features,"Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India" -6e87f48c283d4e7df9f8f69505d1c54714c02a17,A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features,"Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India" -6e92d77c934c4c86ce824e67ef63d625735aa187,Automatic colon polyp detection in endoscopic capsule images,"Digital Optics Corporation, Bucharest, Romania" -6ec8bb9c7aaec908b76dad89529c5ded7cab8e83,Continuous Energy Minimization for Multitarget Tracking,"Technische Universität Darmstadt, Darmstadt" -6e8d9202480e3c52ca5a207a9ab7841deb8d101c,Proposed architecture of a fully integrated modular neural network-based automatic facial emotion recognition system based on Facial Action Coding System,"University “Politehnica”, Bucharest, Department of Telecommunications, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania" 6e795100d9689da21cdd5de16c3323afa28cccbc,Simulation Experiments on (the Absence of) Ratings Bias in Reputation Systems,"The University of Minnesota, Minneapolis, MN, USA" 6e6724b247d452f3756d2ed5fcb76980f50066d1,Collaborative Perception for Automated Vehicles Leveraging Vehicle-to-Vehicle Communications,"Carmine Senatore Exponent, Inc." 6e6724b247d452f3756d2ed5fcb76980f50066d1,Collaborative Perception for Automated Vehicles Leveraging Vehicle-to-Vehicle Communications,"Toyota InfoTechnology Center, U.S.A., Inc." -6ed483dbd967c035976830e65d0cea4fde4ac14a,Incremental Accelerated Kernel Discriminant Analysis,"CERTH-ITI, Thessaloniki, Greece" -6e318d89e8e3ea0ac40be9d06e6acfc624b30f76,Automatic detection of gaze direction for NLP applications,"The Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania" -f33d121705e9b7775cf6a8bb1f602f093fc8cf2c,Deep Representation for Finger-Vein Image-Quality Assessment,"SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France" f3495bf7f7d827c72cc4e7a4850eaf54a998db11,Trends and Controversies,Research and Academic Computer Network (NASK) f3495bf7f7d827c72cc4e7a4850eaf54a998db11,Trends and Controversies,Biometric and Imaging Processing Laboratory (BIPLab) -f35953687697b3455fe89b1f07504daaa6ebf4c8,Airport Detection on Optical Satellite Images Using Deep Convolutional Neural Networks,"Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China" f3ff9544d117dcdb001c07dfe37c4ad46d4a23d9,Development of a real-time nudity censorship system on images,"School of Electrical Engineering and Informatics, Department of Computer Science, Bandung Institute of Technology, Bandung, Indonesia" f3a094d213b373d0aa20e157fdedcd349c1d1777,Single-sample-per-person-based face recognition using fast Discriminative Multi-manifold Analysis,"Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan" f34bc8a28f71be31371b1af0ddc3d1227e33281f,Robust tracking algorithm with designed marker for limited-power computer,"Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520" -f3dab33e5f00e80ed4ce97d3443e96eb0ee96301,AdapNet: Adaptive semantic segmentation in adverse environmental conditions,"University of Freiburg, Germany" -f3dab33e5f00e80ed4ce97d3443e96eb0ee96301,AdapNet: Adaptive semantic segmentation in adverse environmental conditions,"VIT University, India" -f30860a38945ebcef57484a977937dc0294d0ce6,Coherent Semantic-Visual Indexing for Large-Scale Image Retrieval in the Cloud,"School of Information Science and Engineering, Yunnan Unversity, Yunnan, China" f3e4d5b5d761387313a002a06aa66de625362987,Induced gamma-band brain responses to direct eye contact in the frontal and parietal cortices,"National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, 1-1-1 Higashi, Ibaraki 305-8566, Japan" f367fca7949e8ea925d211b3d2af3542f3624c16,Detecting pedestrians in surveillance videos based on convolutional neural network and motion,"MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Networked Systems and Services" f367fca7949e8ea925d211b3d2af3542f3624c16,Detecting pedestrians in surveillance videos based on convolutional neural network and motion,"MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Material Handling and Logistics Systems" @@ -3257,37 +1907,23 @@ f37ee76a283db27fe65faf17d7b2900c5c0613b9,Detecting faces and recognizing facial f38409e401e3aae3852419a2fe7c4c7fb4ecc1b6,Hand-Drawn Face Sketch Recognition by Humans and a PCA-Based Algorithm for Forensic Applications,"Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH, USA" f38409e401e3aae3852419a2fe7c4c7fb4ecc1b6,Hand-Drawn Face Sketch Recognition by Humans and a PCA-Based Algorithm for Forensic Applications,"Department of Arts, Youngstown State University, Youngstown, OH, USA" f38409e401e3aae3852419a2fe7c4c7fb4ecc1b6,Hand-Drawn Face Sketch Recognition by Humans and a PCA-Based Algorithm for Forensic Applications,"Criminal Intelligence Unit, Ohio Bureau of Criminal Identification and Investigation, Youngstown , OH, USA" -f3553148e322f4f64545d6667dfbc7607c82703a,Can computer vision problems benefit from structured hierarchical classification?,"Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Liège, Liège, Belgium" f3553148e322f4f64545d6667dfbc7607c82703a,Can computer vision problems benefit from structured hierarchical classification?,"Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria" -f3c4e3c50f1213cf74f30b1dae9717cfdf465a36,View-invariant gait recognition based on kinect skeleton feature,"Institute of Data Science and Technology, Shandong Normal University, Jinan, China" -f3c4e3c50f1213cf74f30b1dae9717cfdf465a36,View-invariant gait recognition based on kinect skeleton feature,"School of Mechanical and Electrical Engineering, Shandong Management University, Jinan, China" f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; dijana.petrovska@it-sudparis.eu" f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; s.lelandais@iut.unif-evry.fr" -f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; joseph.colineau@thalesgroup.com" f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","Ecole Centrale de Lyon, Lyon, FRANCE; liming.chen@liris-edu.eu" f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; bernadette.dorizzi@it-sudparis.eu" f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","Ecole Centrale de Lyon, Lyon, FRANCE; mohsen.ardabilian@liris-edu.eu" -f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; emine.krichen@it-sudparis.eu" f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; mohamed.anouar_mellakh@it-sudparis.eu" f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; chaari@iut.unif-evry.fr" -f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; guerfi@iut.unif-evry.fr" f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; johan.dhose@thalesgroup.com" f38afa91e8d0dd939ff48e679d28f2ac640b4437,"The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign","Telecom-Lille1, Lille, FRANCE; boulbaba.benamor@telecom-lille1.fr" f3262127af7729ff295b863a217e2395b1c005a2,A comparison of shape constrained facial feature detectors,"Dept. of Imaging Sci. & Biomed. Eng., Manchester Univ., UK" -f354cd137fdc40a3ff6a4004f2a052966c275627,Very Fast Semantic Image Segmentation Using Hierarchical Dilation and Feature Refining,"Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Zhejiang, China" f3b46ed02db04594204b54c17e88341d7dc22db9,Iterative column subset selection,"Department of Computer Systems, Universidad Politécnica de Madrid, Madrid, Spain" f32ba87d83419a67ff462374dc26fd7976ef0778,Improving Speaker Diarization of TV Series using Talking-Face Detection and Clustering,"Université Paris-Saclay, Orsay, France" -f32ba87d83419a67ff462374dc26fd7976ef0778,Improving Speaker Diarization of TV Series using Talking-Face Detection and Clustering,"Paris-Sud,Université Paris-Saclay, Orsay, France" f3f66fced81d87d0b83119e8561037de3c7dbdfe,Transfer learning to account for idiosyncrasy in face and body expressions,"Department of Health Sciences, University of Leicester, UK, LE5 4PW" -f306c0d24a5eb338b7a577a17d8b35d78716d880,Dual-Transfer Face Sketch–Photo Synthesis,"Union Visual Innovation Technology Co., Ltd., Shenzhen, China" -f31cd51c87e64bfdd5c2c9259ae40b5add8cfcc3,Locatization of human eyes based on a series of binary images,"Dept. of Electr. & Info. Eng., Zhejiang Univ., Hangzhou, China" f3084731f770a2cda8350edef38d975bebf2ce35,A Unified Cloud Platform for Autonomous Driving,PerceptIn -f3084731f770a2cda8350edef38d975bebf2ce35,A Unified Cloud Platform for Autonomous Driving,Baidu f3d6b854e605abfb3270ad309eefdad7300716d1,Robust Visual Cooperative Tracking Using Constrained Adaptive Sparse Representations and Sparse Classifier Grids,"Applied Statistics Laboratory, San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA" -f3a8e2eb5190cadd037b722e7c1190c2d1148f10,Local Line Derivative Pattern for face recognition,"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, China" f31040b6d7e135753eccd6ca573d784e9ac9c8c6,Mixture of Gaussian based background modelling for crowd tracking using multiple cameras,"Applied Soft Computing Lab, School of Computer Science and Engineering, Korea University of Technology and Education, Republic of Korea" -f3f06ab2acce6aacb0cbf709784ee7d90df27969,A novel improvement to PCA for image classification,"Department of Computer and Information Sciences, Jinling Institute of Technology, Nanjing, China" -65f25a28629ecfe8bae42a33883a8b9ab3c7d047,"Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose","Department of Electrical Engineering, IIT Madras, Chennai, India" 65f25a28629ecfe8bae42a33883a8b9ab3c7d047,"Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose","Information Directorate, Air Force Research Laboratory, Rome, NY, USA" 654d5579fa954887f69333de752eec78b11a73d8,MLP Neural Network for face recognition based on Gabor Features and Dimensionality Reduction techniques,"Department of Image and Information Processing (ITI), Telecom-Bretagne, Brest - France" 65b9c71a4e5886e3ec8ff1f26038c3c08bd96dcb,UOM Multimodal face and ear database,"Department of Computer Science, University of Mauritius, Reduit, Mauritius" @@ -3304,63 +1940,39 @@ f3f06ab2acce6aacb0cbf709784ee7d90df27969,A novel improvement to PCA for image cl 6555977f0d5f993e0bee7c2ec3d1fc819057da15,"Data Management in Machine Learning: Challenges, Techniques, and Systems","UC San Diego, La Jolla, CA, USA" 6555977f0d5f993e0bee7c2ec3d1fc819057da15,"Data Management in Machine Learning: Challenges, Techniques, and Systems","IBM Research - Almaden, San Jose, CA, USA" 65630863c572a54e1390d4b7f4c29ed5e152a93b,Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes,"Image Understanding Group, Daimler AG R&D, Stuttgart, Germany" -65630863c572a54e1390d4b7f4c29ed5e152a93b,Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes,"JENOPTIK Optical Systems GmbH, Jena, Germany" 65630863c572a54e1390d4b7f4c29ed5e152a93b,Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes,"Department of Computer Science, University of Freiburg, Germany" 65146d19b4a16b16101fac739cbbf1608179c81d,A Joint Integrated Probabilistic Data Association Filter for pedestrian tracking across blind regions using monocular camera and radar,"Department of Advanced Engineering Daimler Trucks, Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany" -657bea04a19eebecc4519030a26d6337d3e31840,Curvelet-based illumination invariant feature extraction for face recognition,"University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor, Malaysia" 65057b96e3c81302caa1d2cf779a3adc8fb5af74,Compound road environment recognition method using camera and laser range finder,"Graduate School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea" -652c53f0fad0cb2664ece79dc593ffa35616beb1,A fast pedestrian detection via modified HOG feature,"School of Automation, Beijing Institute of Technology, Beijing 100081, China" 656d0593bde5a9aecf0a791ec21cdb1fe05cc30a,Contention-Aware Fair Scheduling for Asymmetric Single-ISA Multicore Systems,"Faculty of Computer Science and Engineering, Complutense University of Madrid, Madrid, Spain" 651616afc04ccf20ca2c015b2f78be98ea5ee24f,Learning a multiview part-based model in virtual world for pedestrian detection,"Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain" 65da43d70b16fdb32b182e4ede59fdb9dc3f3350,3D Anthropometric Signatures for Face Verification,"IBISC Laboratory, FRE CNRS 3190, University of Evry Val Essonne, Evry, France." 65c7058623c19980c75be8ea5790f4a641b6846e,Sparse regularized discriminative canonical correlation analysis for multi-view semi-supervised learning,"School of Computer Science and Technology, Anhui University of Technology, Ma’anshan, People’s Republic of China" ce282197f226fc757af4d27cbdc3416ca62ac5bb,"Autism, oxytocin and interoception","The Wellcome Trust Centre for Neuroimaging, UCL, 12 Queen Square, London WC1N 3BG, UK" cebf72d51bca4aa26c73fc76b5ac9a126dbf6c3b,The Social Picture,"JOL WAVE Telecom Italia, Catania, Italy" -cefdfc7f7348a500772a4d5347ccf26706302d8b,Fast stereo-based pedestrian detection using hypotheses,"DGIST, Hyeonpung-Myeon, Dalseong-Gun Daegu, South KOREA" ceef3cce226d2f5977ff4366c5fed0e366a11d84,Integrating statistical and cognitive model for multi-object tracking in realistic scenarios,"Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, Germany" cee80d22cbadad649424bb60a548fad7fb437e68,Authentication enhancement techniques for BAC in 2G E-passport,"Electrical Communications and Electronics Eng. Dept., Faculty of Engineering, Tanta University, Tanta, Egypt" cee80d22cbadad649424bb60a548fad7fb437e68,Authentication enhancement techniques for BAC in 2G E-passport,"Computer Science Dept., College of Computing and Information Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt" cea6a4b34e3bf3837dbac1058770f1009a4a580e,Fast and robust isotropic scaling iterative closest point algorithm,"Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, P.R. China" -ce51d6533f4ef7f2c7dc417342b7e72211c4c516,Human Gait Recognition using Deep Neural Networks,"Department of Computer Science & Engineering, National Institute of Technology Meghalaya, Meghalaya, India" ceba8ca45bad226c401a509e6b8ccbf31361b0c9,Facial expression recognition using Support Vector Machines,"Electrical & Electronic Engineering Department, Mevlana University Konya, Turkey" cebf5c315255f2d2a67f77603975e996742e8ef0,Fast and viewpoint robust human detection for SAR operations,"Université Technologique de Compi`egne, 60200, France" ce6a6d35f65e584214aaf24378ab85038decddbb,High dimensional local binary patterns for facial expression recognition in the wild,"Institute of Automatic Control, Silesian University of Technology, Akademicka 2A, Gliwice, Poland" -cea7c0381100d0aad780e31386c304ff76b0b9ed,Exploiting a depth context model in visual tracking with correlation filter,"National Key Laboratory of Parallel and Distributed Processing, Changsha, China" cebb9e30f8046109923ff5768a2ba9bcdb25fee5,Novelty detection using growing neural gas for visuo-spatial memory,"Computer Sciences at The University of Texas at Austin, 78712, USA" cebb9e30f8046109923ff5768a2ba9bcdb25fee5,Novelty detection using growing neural gas for visuo-spatial memory,"Psychology at The University of Texas at Austin, 78712, USA" -ce243a52ee123128c387aaf8fa12fa8cfe2dcb96,AVAS: Speech database for multimodal recognition applications,"Center for Artificial Intelligence and Robotics (CAIRO), Aswan University, Egypt" ce243a52ee123128c387aaf8fa12fa8cfe2dcb96,AVAS: Speech database for multimodal recognition applications,"Faculty of Computers and Information, Ain Shams University, Cairo, Egypt" ce114dd0b87b68bfb30b73e2b0957e3dd4856a02,Multi-task deep learning for image understanding,"Carnegie Mellon University NASA Research Park #23, Moffett Field, CA 94043" -ce1ee9a23e935a16edbd0c2c56de7c99f4c0b34a,Pedestrian detection based on merged cascade classifier,"Institute of Software, Dalian Jiaotong University, China" cebda64dda05fd13e54221986182e9d08a31909d,Unsupervised anchorpersons differentiation in news video,"DISI University of Trento, Povo - Italy" cebda64dda05fd13e54221986182e9d08a31909d,Unsupervised anchorpersons differentiation in news video,"AT&T Labs Research, Middletown - NJ" cede552a5d65e04fd4894f940b4dc5dd486c44a3,Software Platform for Heterogeneous In-Vehicle Environments,"Computer Engineering and Computer Communications Department, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia" cede552a5d65e04fd4894f940b4dc5dd486c44a3,Software Platform for Heterogeneous In-Vehicle Environments,"Automotive BU, RT-RK Computer-Based Systems LLC, Novi Sad, Serbia" -cea2911ccabab40e9c1e5bcc0aa1127cab0c789f,Siamese multi-layer perceptrons for dimensionality reduction and face identification,"University of Lyon, LIRIS - CNRS, National Institute of Applied Sciences (INSA), Lyon, France" -ceface94e4c73ff1458be056caf2c8312fd1a515,Fatigue detection based on isophote curve,"Department of Automatic Control Northwestern Polytechnical University Xi'an 710072, China" ce70dd0d613b840754dce528c14c0ebadd20ffaa,Deep Learning on Sparse Manifolds for Faster Object Segmentation,School of Computer ScienceThe University of Adelaide -cec8936d97dea2fcf04f175d3facaaeb65e574bf,Large-Scale Video Classification with Elastic Streaming Sequential Data Processing System,"Shanghai Advanced Research Institute, CAS & Qiniu AI Lab, Shanghai, China" -cec8936d97dea2fcf04f175d3facaaeb65e574bf,Large-Scale Video Classification with Elastic Streaming Sequential Data Processing System,"Shanghai Advanced Research Institute, CAS, Shanghai, China" -cee8ad964ff20dd5ff6c10c783ee271a7222987e,Benchmark for road marking detection: Dataset specification and performance baseline,"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, Tsinghua University Beijing 100084, China" -ce9a22bb42ae68ed5bc2d19857f4fb46107a1712,Adaptive matching wavelet networks for face recognition,"Sch. of Software, Tsinghua Univ., Beijing, China" -cee3bafca4b8474ebff82c9661617ab6cacda6c7,Hierarchy of visual features for object recognition,"Department of Computer Science and Engineering, Indian Institute of Technology Madras, India" 31b2b1dedaa171bae9a10dbf291e445f1c3e38c7,3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection,"Toyota Research, Los Altos, CA, USA" -314c4c95694ff12b3419733db387476346969932,Adaptive Metric Learning with the Low Rank Constraint,"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China" -31c16cc4c5b9da82ade50de69ef834c7712df8a5,Extended class-wise sparse representation for face recognition,"Development Research Institute of Guangzhou Smart City, Guangzhou, China" 3168e52567d564f0871c3f9ed7757dae9d66c55a,Image ranking in video sequences using pairwise image comparisons and temporal smoothing,"Mobile Intelligent Autonomous Systems, Modelling and Digital Sciences, Council for Scientific and Industrial Research, South Africa" 317d39381baba14edabc74de70890f946c7f8468,Feature subspace determination in video-based mismatched face recognition,"Image and Video System Laboratory, Information Communication University, Korea" -3196d8797d600c98d49ea76ccc5dadd5a96e407a,Collaboration and spatialization for an efficient multi-person tracking via sparse representations,"CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France" -3196d8797d600c98d49ea76ccc5dadd5a96e407a,Collaboration and spatialization for an efficient multi-person tracking via sparse representations,"CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France" 3103a8a83e60aa1ef93b55cb0b2e7f12b9e2913e,AWStream: adaptive wide-area streaming analytics,UC Berkeley 3103a8a83e60aa1ef93b55cb0b2e7f12b9e2913e,AWStream: adaptive wide-area streaming analytics,Johns Hopkins University -31f2ddd9af75c7f9bec515945bc6c3055fbe9801,Structure regularized self-paced learning for robust semi-supervised pattern classification,"School of Statistics, Capital University of Economics and Business, Beijing, China" -31f2ddd9af75c7f9bec515945bc6c3055fbe9801,Structure regularized self-paced learning for robust semi-supervised pattern classification,"School of Economics, Beijing Technology and Business University, Beijing, China" -31f2ddd9af75c7f9bec515945bc6c3055fbe9801,Structure regularized self-paced learning for robust semi-supervised pattern classification,"College of Mathematics and Information Science, Wenzhou University, Wenzhou, China" 314142838289cac416098cbc2bbe796dcbd2357b,Fusion of Interest Point/Image based descriptors for efficient person re-identification,"SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, 9 rue Charles Fourier, Evry Cedex, 91011, France" 31146bd416626d2bf912e0a0d12ca619fb49011b,Kansei and human experience analysis for mobile robot navigation in a ubiquitous environment,"Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Saga, Japan" -31c846067016220b31fd442663ba42e50f524d25,Adaptive RGB Image Recognition by Visual-Depth Embedding,"College of Automation, Nanjing University of Posts and Telecommunications, China" 31a1d959e62dcc078fa2670fb9cb75b6bb070ef7,Efficient 2D human pose estimation using mean-shift,Computer Vision Lab - Syed Babar Ali School of Science & Engineering Lahore University of Management Sciences -310dcf9edb491b63d09a9eb55a99ad6bb46da1d4,A learning-based human facial image quality evaluation method in video-based face recognition systems,"School of Information and Electronics, Beijing Institute of Technology, Beijing, China" 31b0308a886572a23f3f3576d0f7bb963a8cc6fd,Local features for object class recognition,"Multimodal Interactive Syst., Darmstadt, Germany" 31dc87637fc68db9f7a2196c9a95331736a5bf61,The encoding of complex visual stimuli by a canonical model of the primary visual cortex: Temporal population code for face recognition on the iCub robot,"Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pom-peu Fabra - UPF, Roc Boronat, 138 - 08018 - Barcelona, Spain" 31dc87637fc68db9f7a2196c9a95331736a5bf61,The encoding of complex visual stimuli by a canonical model of the primary visual cortex: Temporal population code for face recognition on the iCub robot,"Robotics Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia - IIT, Via Morego, 30 - 16163 - Genova, Italy" @@ -3370,27 +1982,15 @@ cee3bafca4b8474ebff82c9661617ab6cacda6c7,Hierarchy of visual features for object 31c52ecc98ebf046df914fd113abcae334e1cf0e,Evaluation of Speech-to-Gesture Generation Using Bi-Directional LSTM Network,"Yokohama National University, Yokohama, Japan" 5f380850c50bf6f0963e38885776d9d7db81d7a0,Implementation of an improved facial emotion retrieval method in multimedia system,"School of Computer Engineering, Hanshin University, Osan, Republic of Korea" 5fc97d6cb5af21ed196e44f22cee31ce8c51ef13,NeuroDSP Accelerator for Face Detection Application,"UMR CNRS - Univ. Bourgogne, Dijon, France" -5fc97d6cb5af21ed196e44f22cee31ce8c51ef13,NeuroDSP Accelerator for Face Detection Application,"CEA, Gif-Sur-Yvette, France" -5f01f14ca354266106d8aa1b07c45e8c9ac3e273,RFIW 2017: LPQ-SIEDA for Large Scale Kinship Verification,"University of Biskra, Biskra, Algeria" 5f01f14ca354266106d8aa1b07c45e8c9ac3e273,RFIW 2017: LPQ-SIEDA for Large Scale Kinship Verification,"University of Valenciennes, Valenciennes, France" 5ff6aa027b2772b3cfb45bdde22ef808ba59acf5,Shape and texture combined face recognition for detection of forged ID documents,"School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK" 5ff6aa027b2772b3cfb45bdde22ef808ba59acf5,Shape and texture combined face recognition for detection of forged ID documents,"IDscan Biometrics Ltd, London E14 9QD, UK" 5fea59ccdab484873081eaa37af88e26e3db2aed,Capacitive Sensor for Tagless Remote Human Identification Using Body Frequency Absorption Signatures,"Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy" 5f592ed440b5fd4f454429981ee76dec73f934b3,Multi-label classification via learning a unified object-label graph with sparse representation,"Department of Computer Science, Texas State University, San Marcos, USA" -5fc2d40dcf41fcc45db2e2a91ce615e3b170f189,Optical Flow Based Face Hallucination Via Weightedly-Constrained Representation,"School of Computer Science, China University of Geosciences, Wuhan, 430074, China" -5ffaa04d15fd159c420cc10fddf15ae39a6db865,Semi-Online Multiple Object Tracking Using Graphical Tracklet Association,"Jiangsu Department of Water Resources, Nanjing, China" -5fc8dd97ee6dcf60b474f2f169331a05b0242805,Kernelized locality-sensitive hashing for scalable image search,"UC Berkeley EECS and ICSI, CA 94720, USA" 5fc8dd97ee6dcf60b474f2f169331a05b0242805,Kernelized locality-sensitive hashing for scalable image search,"UT Austin Computer Science Dept., TX 78712, USA" 5f0d4657eab4152a1785ee0a25b5b499cd1163ec,Bandit Framework for Systematic Learning in Wireless Video-Based Face Recognition,"University of California, Los Angeles, CA Dept. of Electrical Engineering" -5f87c992e5572cbab6896c9e86d8ea480e6be899,Discriminative Multidimensional Scaling for Low-Resolution Face Recognition,"Shenzhen, China" 5f54f38043ecba3871fe18529c89309267132127,Taxonomy augmented object recognition,"Nokia Bell Labs, Murray Hill, NJ, USA" -5f54f38043ecba3871fe18529c89309267132127,Taxonomy augmented object recognition,"Minzu University of China, Beijing, China" -5fbc907ad8e765a00c26198ec954861d8c1f1bac,Accurate scale estimation based on unsynchronized camera network,"LITIS laboratory, INSA de ROUEN - Université de Rouen IRSEEM, ESIGELEC" -5ffa98b79702814770fdbe9de150b4420974f399,Audio-visual Identity Verification: An Introductory Overview.,"CNRS-LTCI, GET-ENST, 46 rue Barrault, 75013 Paris, France" -5fa6f72d3fe16f9160d221e28da35c1e67a5d951,A 700fps optimized coarse-to-fine shape searching based hardware accelerator for face alignment,"Institute of Semiconductors, Chinese Academy of Sciences&University of Chinese Academy of Sciences, Beijing, China" 5fd262d1962262225c59ae33b07e69f6635c3f67,DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems,"Clarkson University, Potsdam, New York" -5f4c09cce4971e2d1c066cd344cb3cd807cf7331,Fast Randomized Singular Value Thresholding for Low-Rank Optimization,"Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea" -5f4c09cce4971e2d1c066cd344cb3cd807cf7331,Fast Randomized Singular Value Thresholding for Low-Rank Optimization,"Tencent, Shanghai, China" 5f946db224f4d968b93b575eec65e18350aae893,Deep self-organizing reservoir computing model for visual object recognition,"State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, UK" 5f0dffd4f36394c92b26a1ee7b185ea4b3be58fd,Semantic image segmentation for pedestrian detection,"Research Center for Informatics, Indonesian Institute of Sciences, Jl. Jend. Gatot Subroto 10, Jakarta, Indonesia" 5f0dffd4f36394c92b26a1ee7b185ea4b3be58fd,Semantic image segmentation for pedestrian detection,"Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3. 10000 Zagreb, Croatia" @@ -3399,12 +1999,7 @@ cee3bafca4b8474ebff82c9661617ab6cacda6c7,Hierarchy of visual features for object 5f6f246175d4fb759888e2e42a04360724dd4c74,Embedded vision system with hardware acceleration,Dept. of Computer Engineering Kuwait University 9d1858a2ac2a963384dd6809dbdb2b4bdeffe040,Advances in automatic gait recognition,"Sch. of Electron. & Comput. Sci., Southampton Univ., UK" 9d89f1bc88fd65e90b31a2129719384796bed17a,Person re-identification using co-occurrence attributes of physical and adhered human characteristics,"Graduate School of Engineering, Tottori University, Japan" -9dc42551849d808f66dccf2e02c4f047a69c4d89,Counting people using gradient boosted trees,"College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China" -9d18904e73c71f6b54dc13aa622ca0f7844d9503,Penalized collaborative representation based classification for face recognition,"Department of Computer Science and Engineering, Hanshan Normal University, Chaozhou, China" -9d18904e73c71f6b54dc13aa622ca0f7844d9503,Penalized collaborative representation based classification for face recognition,"Department of Mathematics and Statics, Hanshan Normal University, Chaozhou, China" -9d5ee493ee1b7955bbc71b13edc7f97efe53d743,JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery,"Simula Research Laboratory, Oslo, Norway" 9dd3f85b2418ca26fb94558de57fdc001615ed24,Semantic manifold learning for image retrieval,"Academia Sinica, Taipei, Taiwan and National Taiwan University, Taipei, Taiwan" -9dc15949c40c5f90087eee9da2600144126ac2e5,Face recognition based on olfactory bionic model,"Dept. of Information Engineering, Xiangtan Vocational Technical College, 411102, China" 9db77739a1b84c7a07c13a446684c9b63966f39e,The Lifecycle of Geotagged Multimedia Data,"University of Turin, Turin, Italy" 9de1491631ce13ece29f1b164a14b90343bedb9a,Moving pedestrian detection based on motion segmentation,"Fraunhofer IAIS, Germany" 9dea76d985e50f2b34391f7277488a2dc31ebaf3,Person re-identification: Attribute-based feature evaluation,"Department of Computer and Information Sciences, Northumbria Univeristy, Newcastle upon Tyne, UK" @@ -3412,8 +2007,6 @@ cee3bafca4b8474ebff82c9661617ab6cacda6c7,Hierarchy of visual features for object 9df86395c11565afa8683f6f0a9ca005485c5589,"Facial expression recognition using active contour-based face detection, facial movement-based feature extraction, and non-linear feature selection","Department of Electronic Engineering, Kwangwoon University, Seoul, Republic of Korea" 9da3db544cf989464ca4c74c0557f6417b462da2,Matching fingerface based on area under the highest peaks curve,"Department of Computer Science, Faculty of Science, University of Sebha, Sebha Libya" 9da3db544cf989464ca4c74c0557f6417b462da2,Matching fingerface based on area under the highest peaks curve,"Dept. of Computer and Communication Systems Eng., Faculty of Engineering, University Putra Malaysia, 43400, Serdang, Selangor, Malaysia" -9d27197ecc73ac0c3a664499c62975068251bf9c,Studying Object Naming with Online Photos and Caption,"Australian National University / NICTA, Canberra, Australia" -9d27197ecc73ac0c3a664499c62975068251bf9c,Studying Object Naming with Online Photos and Caption,"NICTA / Australian National University, Canberra, Australia" 9d85f3cf2cc464b67ff0ead1a82197878da7494d,Ranking based boosted multiple kernel learning for activity recognition on first-person videos,"Tübitak Bilgem İltaren, Ankara, Türkiye" 9d85f3cf2cc464b67ff0ead1a82197878da7494d,Ranking based boosted multiple kernel learning for activity recognition on first-person videos,"Enformatik Enstitüsü, Orta Doğu Teknik Üniversitesi, 06800, Ankara, Türkiye" 3b995415a12903a45587827651c38e722f98a8c0,Managing the uncertainty for face classification with 3D features,"DIEI, University of Cassino and of Southern Lazio, (FR) - Italy" @@ -3423,17 +2016,12 @@ cee3bafca4b8474ebff82c9661617ab6cacda6c7,Hierarchy of visual features for object 3b7a6291712f9796a3add49a3f65f0acaa3e1335,Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition,"Department of Computer Science, Effat University, Jeddah, Saudi Arabia" 3b5afa25af267061f3a9075c1029b0838bc4d94d,Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction,"Universität Ulm, Ulm, Germany" 3b1fcfd2fdb89b3534e506beda391305f10daf5a,Perimeter-intrusion event classification for on-line detection using multiple instance learning solving temporal ambiguities,"Siqura B.V., Gouda, The Netherlands" -3bdcfa660fa278a9528bea6617f86055f6ef03a8,A critical review on Image Mosaicing,"Department OF E.C.E, JNTUA, Ananthapuramu, India" -3bdcfa660fa278a9528bea6617f86055f6ef03a8,A critical review on Image Mosaicing,"Department of E.C.E, MITS, Madanapalle, India" -3bdcfa660fa278a9528bea6617f86055f6ef03a8,A critical review on Image Mosaicing,"Department of E.C.E, JNTUACE, Ananthapuramu, India" -3b42b5174a35c87194b42af583a618f21be8ddf8,Non Verbal Behaviour Analysis for Distress Detection Using Texture Analysis,"Regional Centre IHRD, Thiruvananthapuram, India" 3b8a3b4ed02a15b2ba329727596b704889123a39,Deep affordance learning for single- and multiple-instance object detection,"Institute for Infocomm Research Agency for Science, Technology and Research (A∗STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 138632" 3b8a3b4ed02a15b2ba329727596b704889123a39,Deep affordance learning for single- and multiple-instance object detection,"School of Electrical and Electronic Engineering Nanyang Technological University, Singapore Block S2.1, 50 Nanyang Avenue, Singapore 639798" 3bc6ddbac68eaa89487d29abb0d25d85161d3ae8,Recognizing objects from their incomplete representation: A survey,"Center of assistive Research Technologies (CART), Engr. College, WSU, Dayton, OH" 3b99c007994340381b6a2ba15346ce03c323b523,Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation,"Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, USA" 3b4da93fbdf7ae520fa00d39ffa694e850b85162,Face-Voice Matching using Cross-modal Embeddings,"Hitachi, Ltd., Tokyo, Japan" 3bf0f03e37929eb40de452a1e2773fb8b77ebcc1,Face recognition through a chaotic neural network model,"BioCom - Bioinspired Computing Laboratory, Department of Computer Science, University of Sao Paulo, Brazil" -3bbf722c8d35bf3f7efb6361c5e2e58961f3d886,Facial curves between keypoints for recognition of 3D faces with missing parts,"University of Firenze, via S. Marta 3, 50139 Firenze, Italy" 3b44991d1c9f51eaba02c86d8a0efb539805c204,Quantification of Cinematography Semiotics for Video-based Facial Emotion Recognition in the EmotiW 2015 Grand Challenge,"California State University, Bakersfield, CA, USA" 3b9c3218439c7a6af9bf8ad97f9ac59874ef700e,Using densely recorded scenes for place recognition,"Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore" 3b80e625b3073be59ec0ca3bb846cb3e4c1fd426,Embedded adaptation for 3D face analysis using Elastic Riemannian algorithm,"CES-Laboratory, Sfax Sud University, National Engineering School of Sfax, Tunisia" @@ -3442,49 +2030,26 @@ cee3bafca4b8474ebff82c9661617ab6cacda6c7,Hierarchy of visual features for object 3b44f90cb302541793407994378698d5509a9c15,A multi-texture approach for estimating iris positions in the eye using 2.5D Active Appearance Models,"Dynamixyz, Rennes, France" 3bdaf59665e6effe323a1b61308bcac2da4c1b73,2D spherical spaces for objects recognition under harsh lighting conditions,"Faculty of Engineering Science, Department of Systems Innovation, Arai Laboratory at Osaka University, Japan" 3b56d4f2591b2e6191d82c8f3e2236c953c42e11,Automatic Near Real-Time Evaluation of 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip,"Department of Orthopedic Surgery, British Columbia Children’s Hospital, Vancouver, Canada" -3b63c3aef835d9fbe4ff8b20e797340ebbf2ace8,Multiple obstacle detection and tracking using stereo vision: Application and analysis,"CNRS Heudiasyc UMR 7253, Université de Technologie de Compiègne, Compiègne, France" -3b63c3aef835d9fbe4ff8b20e797340ebbf2ace8,Multiple obstacle detection and tracking using stereo vision: Application and analysis,"CNRS IEF UMR 8622, Université Paris-Sud, Paris, France" 3b682d46d9c8ba9d571cf1a631bb60d6ebb72dfa,Visualizing driving video in temporal profile,"Department of Computer Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA" 3b682d46d9c8ba9d571cf1a631bb60d6ebb72dfa,Visualizing driving video in temporal profile,"Transportation Active Safety Institute (TASI) and the Department of Computer Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202 USA" 3bf673a1f620015cb8b5106b85c7168431bb48ff,Intelligent Appearance and shape based facial emotion recognition for a humanoid robot,"Computational Intelligence Research Group, Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University Newcastle, NE1 8ST, UK" -3b7f93327ec947194f327869a58073d8bb7259ed,Annotation driven MAP search space estimation for sliding-window based person detection,"Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany" 3b448e114097439f02bed44bceb6c8f823ba5f51,Fly wing biometrics,"Department of Computer Science, North Carolina A&T State University, 1601 East Market St. Greensboro, 27411, USA" -3bcdb430b373fc0fafec93bdcd8125db338b20e4,Sub-pattern based Maximum Margin Criterion for face Recognition,"College of Information and Software Engineering, Northeast Normal University, Changchun, China" -3b4f6956aba3c0a8c444349868b2263d3124aa66,Seeded Laplacian: An interactive image segmentation approach using eigenfunctions,Engineering Mathematics - Computer and Systems Engineering 3b9fa107e8d68590bfb7ac03056c02ed0aea1c29,Automated characterization of mouth activity for stress and anxiety assessment,"Le2i Laboratory, University of Burgundy, Le Creusot, France" -3b9fa107e8d68590bfb7ac03056c02ed0aea1c29,Automated characterization of mouth activity for stress and anxiety assessment,"Institute of Computer Science, Foundation for Research & Technology - Hellas, Heraklion, Crete, Greece" -3bcb93aa2a5e5eda039679516292af2f7c0ff9ac,Terrain classification of hyperspectral remote sensing images based on kernel maximum margin criterion,"School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China" f6b8f8511f8a66209ff2e7f163f9265ac077ba3e,Face recognition with lattice independent component analysis and extreme learning machines,"CCIA Department, UPV EHU, Computational Intelligence Group, San Sebastian, Spain" f622efd8f7ecdad1b5352ce6d8677f44638425da,Exploiting multiple detections to learn robust brightness transfer functions in re-identification systems,"Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy" f66e2d403774d3fe49e8c37f8acecb4e43d1675d,Confidence Measure Using Composite Features for Eye Detection in a Face Recognition System,"Korea Institute of Industrial Technology, Cheonan, Korea" -f6eb6f13cb0af1c1d99bf2c5293f7fdfd2b002ec,SLOOP: QoS-Supervised Loop Execution to Reduce Energy on Heterogeneous Architectures,"Chalmers University of Technology, Gothenburg, Sweden" -f6c8c453aece2506fc660c06e048e7a550bb320b,Deep Learning From Noisy Image Labels With Quality Embedding,Cooperative Medianet Innovation CenterShanghai Jiao Tong University -f6ad7fc8ab40c2c892dbaf3922b30fe0c0311c65,How to Wear Beautifully? Clothing Pair Recommendation,"College of Computer and Communication Engineering, China University of Petroleum (East China), Qingdao, China" -f6a574f597daf1c0252db61eb6ed8cb369b6851b,Locality discriminative canonical correlation analysis for kinship verification,"Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Computer Science and Technology, Wuhan University of Sciences and Technology Wuhan 430065, China" -f624e6a1f13a7a55454dd23871ab951b21d6c884,Robust 3D face recognition from low resolution images,"Centre for Research and Technology Hellas, Information Technologies Institute 57001, Thessaloniki, Greece" f6d35f4884d0834f2a2b29fd6341f3b4afefb119,Collaborative Detector Fusion of Data-Driven PHD Filter for Online Multiple Human Tracking,"School of Engineering Newcastle University, ISC Research Group, UK" f6d35f4884d0834f2a2b29fd6341f3b4afefb119,Collaborative Detector Fusion of Data-Driven PHD Filter for Online Multiple Human Tracking,"University of Leicester, Department of Engineering, UK" -f64d17d32ba3ab1277ff4edf025503fc3ff87c14,Local auxiliary-color maximum vector pattern: A new feature descriptor for image indexing and retrieval,"Computer Vision and Pattern Recognition Laboratory (CVPRL), Indian Institute of Technology Ropar, Rupnagar-140001, Punjab, India" -f6780d4ccf4c734baab5b1fcb301021a86446850,Pedestrian recognition using high-definition LIDAR,"Road Environment Recognition Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan" f6780d4ccf4c734baab5b1fcb301021a86446850,Pedestrian recognition using high-definition LIDAR,"Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan" f6136ee2e56e5f3abc42049425794073aca306a8,Ear description and recognition using ELBP and wavelets,"Laboratory of Inverse Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications, University of 08 Mai 1945, P.O box 401, Guelma, Algeria" -f6480efe44e9a59737c1223ff7413bb2727cedd6,Illumination invariant face recognition for frontal faces using modified census transform,"Applied Research Group, Satyam Computer Services Ltd, 3rd Floor, SID Building, IISc Campus, Bangalore - 12, India" f64fecf010caa3a445381e7cabb81659ee6802a5,Recognizing face sketches by a large number of human subjects: A perception-based study for facial distinctiveness,"Departments of Computer Science, Youngstown State University, Youngstown, OH 44555, USA" f64fecf010caa3a445381e7cabb81659ee6802a5,Recognizing face sketches by a large number of human subjects: A perception-based study for facial distinctiveness,"Departments of Psychology, Youngstown State University, Youngstown, OH 44555, USA" f64fecf010caa3a445381e7cabb81659ee6802a5,Recognizing face sketches by a large number of human subjects: A perception-based study for facial distinctiveness,"Departments of Art, Youngstown State University, Youngstown, OH 44555, USA" f650aa86c7ebd31fa079f4db62a53b12f1b5d61f,Reduced functional connectivity to the frontal cortex during processing of social cues in autism spectrum disorder,"Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany" f650aa86c7ebd31fa079f4db62a53b12f1b5d61f,Reduced functional connectivity to the frontal cortex during processing of social cues in autism spectrum disorder,"Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany" -f691d38efe4cb8ba6fbd812d54de4098ac992c3c,Person re-identification by Weber Local Descriptors and color features,"National Digital Switching System Engineering Technology Research Center, Zhengzhou City, 450000, China" -f6248644435c918f1b27d98bb29033376d3bd6d8,An efficient illumination invariant human face recognition using new preprocessing approach,"School of Technology, RK University, Rajkot, India" -f6248644435c918f1b27d98bb29033376d3bd6d8,An efficient illumination invariant human face recognition using new preprocessing approach,"Department of Electronics, BVM Engineering College, Vallabh Vidhyanagr, Anand, Gujarat, India" f6551620737ea608da36842929681fee811239db,Object Tracking via Partial Least Squares Analysis,"Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA" -f6c63f514d4f261a5665c01b6ba4ccc0c69b788a,Representation Learning of Knowledge Graphs with Entity Attributes and Multimedia Descriptions,"Institute of Automation Chinese Academy of Sciences, National Lab of Pattern Recognition, Beijing, China" -f6f4d887fb62d33a9a18cbb7bc58bd6247384a35,People detection in crowded scenes using hierarchical features,"School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China" -f6f0585ee1e03044c5e346d66549a956886e42e0,Articulated Pose Estimation and Tracking: Introduction,"Disney Research, Pittsburgh, USA" f688a3eb3a8fb068ed916cfdd9fc71ee2ec453f3,Lip localization and performance evaluation,"Digital Media Lab., Tillämpad Fysik och Elektronik, Umeå Universitet, SE-90187, Sweden" f6e58f54b82e19ccf7c397cf8200ebf5160eb73c,End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection,"CNRS, Laboratoire d’Informatique de Paris 6, LIP6, Sorbonne Université, Paris, France" -f6e58f54b82e19ccf7c397cf8200ebf5160eb73c,End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection,"Thales Land and Air Systems, Élancourt, France" -f6e58f54b82e19ccf7c397cf8200ebf5160eb73c,End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection,"CEDRIC, Conservatoire National des Arts et Métiers, Paris, France" f6f80fde9d9d5da840e5aef37d459baf9906daec,A 3.4-$\mu$ W Object-Adaptive CMOS Image Sensor With Embedded Feature Extraction Algorithm for Motion-Triggered Object-of-Interest Imaging,"Samsung Advanced Institute of Technology, Gyeonggi-do, Korea" f6fea582f2a08ad577ced55ea0e1c2a063f938e2,Directional ringlet intensity feature transform for tracking,"The University of Dayton, Dayton, OH 45469, USA" f63b3b8388bc4dcd4a0330402af37a59ce37e4f3,Random attributes for image classification,"Bilgisayar Mühendisliği Bölümü, Deniz Harp Okulu, İstanbul, Türkiye" @@ -3496,17 +2061,9 @@ c003283920a77a42f2654a8f51a142e2ff2ab80e,"A Novel Multi-Purpose Matching Represe c0bc727b6b46a875cb6c0cb7e6eae1885270e281,Thermal image-based CNN's for ultra-low power people recognition,ETH Zurich c0bc727b6b46a875cb6c0cb7e6eae1885270e281,Thermal image-based CNN's for ultra-low power people recognition,University of Bologna c0c311c985fcfb309066d0d475ca862b2a19363e,Real-time full-body human attribute classification in RGB-D using a tessellation boosting approach,"Social Robotics Lab, Dept. of Computer Science, University of Freiburg, Germany" -c0c98bca6cf04e5b19bd2363bdc2ee0ad0d63a75,On the synergism of evolutionary neuro-fuzzy system,"Department of Computer Science & Engg., Rama University, Kanpur, INDIA" -c0c98bca6cf04e5b19bd2363bdc2ee0ad0d63a75,On the synergism of evolutionary neuro-fuzzy system,"Harcourt Butler Technological Institute, Kanpur, INDIA" -c0162b2a42c5f5e350648e600e9709afbef816f0,A Literature Review on the Prediction of Pedestrian Behavior in Urban Scenarios,"ICMC/USP Sao Carlos, Brazil" c0162b2a42c5f5e350648e600e9709afbef816f0,A Literature Review on the Prediction of Pedestrian Behavior in Urban Scenarios,"Daimler AG Sindelfingen, Germany" c0162b2a42c5f5e350648e600e9709afbef816f0,A Literature Review on the Prediction of Pedestrian Behavior in Urban Scenarios,"MRT/KIT Karlsruhe, Germany" c01133cdc8dd24affdafc03086e419e02f8c64af,Schedulability-guided exploration of multi-core systems,"École Polytechnique de Montréal, Montréal, QC, Canada" -c0e25fb09fc844a8b7002a0a4ae4d6f13c287537,CSPS: An Adaptive Pooling Method for Image Classification,"School of Electronics Engineering and Computer Science, Peking University Shenzhen Graduate School, Shenzhen, China" -c0e25fb09fc844a8b7002a0a4ae4d6f13c287537,CSPS: An Adaptive Pooling Method for Image Classification,"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China" -c05733052172753c8736e07fa8004dbaacfb623d,Understanding the effective receptive field in semantic image segmentation,"School of Computer and Information Engineering, Anyang Normal University, Anyang, China" -c05733052172753c8736e07fa8004dbaacfb623d,Understanding the effective receptive field in semantic image segmentation,"Henan Key Laboratory of Oracle Bone Inscriptions Information Processing, Anyang Normal University, Anyang, China" -c05733052172753c8736e07fa8004dbaacfb623d,Understanding the effective receptive field in semantic image segmentation,"Collaborative Innovation Center of International Dissemination of Chinese Language Henan Province (HNIDCL), Henan, China" c0264118ec190cbe17503c7b4099905b1508d396,Remote Photoplethysmography measurement using constrained ICA,"Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, Dijon, France" c0a8c0e6ccf9882969ba0eda0b898affa015437b,Waldo: An Adaptive Human Interface for Crowd Entity Resolution,"University of California, San Diego, San Diego, CA, USA" c0aeae062aa27b71be728f2b9bb22b5ba0de27c1,Robust fusion using boosting and transduction for component-based face recognition,"Department of Computer Science, George Mason Univerisity, Fairfax, VA 22030, USA" @@ -3514,61 +2071,36 @@ c0aeae062aa27b71be728f2b9bb22b5ba0de27c1,Robust fusion using boosting and transd c01a499e52edd49bb5fbe4d0e7309f79a5d9d3fa,Driver yawning detection based on deep convolutional neural learning and robust nose tracking,"Department of Electrical and Computer Engineering, University of Michigan-Dearborn, USA" c00935052d80cddedb53da1ed042055faaf3aa1b,Re-identifying people in the wild,"Universitat Politècnica de València, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain" c026c4eeb0d29d2842eb0b34754715e497cb1af3,Head pose estimation based on fuzzy systems using facial geometric features,"Electrical Engineering Department, Sahand University of Technology, Tabriz, Iran" -27123e0e9743f27fb25e4f1a325a01c89240d0bc,Efficient Stixel-based object recognition,"Environment Perception Group, Daimler AG Group Research & Advanced Engineering, 71059 Sindelfingen, Germany" 2788ffd2bee39a8610a132ab0533aad083a0a701,On the robustness of audiovisual liveness detection to visual speech animation,"Telecom Division, Centre de Developpement des Technologies Avancees, Algiers, Algeria" 278eead9d16d003e5470bed36f4e3d680e37957b,Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications,"School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, South Korea" -278c9b47199701d75a6eb9f4cff9ea88fc7fe63e,Automatic Facial Attractiveness Prediction by Deep Multi-Task Learning,"TuSimple, San Diego, USA" -275d19040241b22eb15dcbf51d3c5a2e0bfaf385,Real-time localization and navigation in an indoor environment using monocular camera for visually impaired,"M S Ramaiah University of Applied Sciences, Bangalore, India" 2784ebc97a064bad57d8339e736754ac15f10bdd,Robust multiple object tracking by detection with interacting Markov chain Monte Carlo,"Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106, USA" -27c6f50eafc11957df59b8a6c1894600f3011802,An Extensible Local Surface Descriptor for 3D Object Recognition,"Shenyang Institute of Automation, CAS, Shenyang, 110016, China" -27cc7ca12603c5f569c1746f9b1b85a95850d6ea,Active skeleton for non-rigid object detection,"Huazhong Univ. of Sci.& Tech., China" 27cc7ca12603c5f569c1746f9b1b85a95850d6ea,Active skeleton for non-rigid object detection,"University of California, Los Angeles, USA" -2788dd3b087351ceb891f7497d64b438e8e5f808,An Empirical Study of Deformable Part Model with fast feature pyramid,"School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, China" -27aa23d7a05368a6b5e3d95627f9bab34284e5c4,Sparse representation based on matrix rank minimization and k-means clustering for recognition,"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China 100190" 2710e1c58476e1996466530af825de6376a92833,Evaluation of discrimination power of facial parts from 3D point cloud data,"Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1205, Bangladesh" -27aadf6e7441bf40675874df1cf4bb7e2dffdd9e,Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance,"University of California, Berkeley, USA" -2731da4a48291640b2698cd5909c283484db10c3,Multiple object tracking by incorporating a particle filter into the min-cost flow model,"Department of Computer Science, Harbin Institute of Technology (Shenzhen), Shenzhen, China" -27a5f4d813d355a33b4b1e4fc625e60ad072b64e,Application of Deep Convolutional Neural Network to Prevent ATM Fraud by Facial Disguise Identification,"Department of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India" 27e0684fa5b57715162ac6c58a6ea283c7db1719,Select eigenfaces for face recognition with one training sample per subject,"Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada" 275b3cb7c780c663eabbf4d6c6cbc8fe24287c70,The Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition,"Universiti Sains Malaysia, Penang, Malaysia" 275cc2085f90866d74d6531489cfee67a8f48cc5,Pose Correction and Subject-Specific Features for Face Authentication,"Universidad de Vigo, Spain" 270acff7916589a6cc9ca915b0012ffcb75d4899,On the Applications of Robust PCA in Image and Video Processing,"Laboratoire MIA, University of La Rochelle, La Rochelle, France" -275260b6118b56ee2a3d6bbdf250d0e424b4223c,Detection and tracking of objects with direct integration of perception and expectation,"Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany" 27043999be114bacb4d53fc6dd04316727986de8,Show me your body: Gender classification from still images,"Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, Houston, TX" 271207db1eeca3f9c528abf529d62fb6d41156b8,Lying-pose detection with training dataset expansion,"Sherbrooke University, Sherbrooke, Que´bec, Canada" bf7cdcda49853bca3d91255de1a82a1fb066ac12,Toward Composite Object Classification Using a Probabilistic Inference Engine,"School of Information and Computer Technology Sirindhorn International Institute of Technology, Thammasat University, Thailand" bf1ebcaad91c2c0ed35544159415b3ad388cc7a9,Cultural-based visual expression: emotional analysis of human face via Peking Opera Painted Faces (POPF),"Department of Design, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK" bf1ebcaad91c2c0ed35544159415b3ad388cc7a9,Cultural-based visual expression: emotional analysis of human face via Peking Opera Painted Faces (POPF),"Department of Arts and Humanities, College of Business, Arts and Social Sciences, Brunel University London, Uxbridge, UK" bf012c86da23a52c37689b7e34fa50b25287ff57,A novel face recognition method based on Local Zernike Moments,"Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitési" -bfc5a53fa3623c27950874ea7d338aafad9dfeda,"Evidential grid mapping, from asynchronous LIDAR scans and RGB images, for autonomous driving","CNRS, Heudiasyc UMR 7253, Sorbonne universités, Université de technologie de Compiègne, CS60319, Compiègne cedex, 60203, France" bfc5a53fa3623c27950874ea7d338aafad9dfeda,"Evidential grid mapping, from asynchronous LIDAR scans and RGB images, for autonomous driving","Renault S.A.S, 1av. du Golf, Guyancourt, 78288, France" bffefd41cea42f4db45e8c98b0651f74a8aa90d6,Multi-Region bilinear convolutional neural networks for person re-identification,"Skolkovo Institute of Science and Technology, Skolkovo, Moscow" bf5064c9143fe2ec32abeff7351db82201372b7b,An EOG-Based Human–Machine Interface for Wheelchair Control,School of Automation Science and EngineeringSouth China University of Technology -bf5064c9143fe2ec32abeff7351db82201372b7b,An EOG-Based Human–Machine Interface for Wheelchair Control,Affiliated Sichuan Provincial Rehabilitation HospitalChongqing Medical University -bf8fcb7860bc89c332d87ebacd260bdc5a30b4ce,"Face recognition using Symlet, PCA and cosine angle distance measure","University school of Information and Communication technology, Guru Gobind Singh Indraprastha University, Dwarka, New-Delhi, India" bff8bb99347ff866e1fb77476fe3a660f4dc2af5,Robust object detection for tiny and dense targets in VHR aerial images,"Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, France" -bf4780c028ba42bceb222bde11450672138602f5,Person re-identification based on CCN feature representations learning,"School of Automation and Electrical Engineering, Faculty of University of Science & Technology Beijing, Beijing 100083, China" -bf4780c028ba42bceb222bde11450672138602f5,Person re-identification based on CCN feature representations learning,"School of Automation and Electrical Engineering, University of Science & Technology Beijing, Beijing, China" -bfba87606ff05b4065548e0e90be5b94404bb847,The algorithm studies of Hidden Markov Model in face distinguishing,"Department of Mechanical and Electronic Engineering, Henan Polytechnic Institute, Nan yang, China" bfec95482dc40936cbb33d386890aad48483adc4,An ensemble of invariant features for person re-identification,"SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea" -bf2eb77e9b795a4a0a38ed4b1c8dd4b2c9a74317,Two-Stream Convolutional Network with Multi-level Feature Fusion for Categorization of Human Action from Videos,"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India" -bf4f79fd31493648d80d0a4a8da5edeeaba74055,Adaptive Message Update for Fast Affinity Propagation,"NTT Software Innovation Center, Tokyo, Japan" -bf4f79fd31493648d80d0a4a8da5edeeaba74055,Adaptive Message Update for Fast Affinity Propagation,"NTT Service Evolution Laboratories, Kanagawa, Japan" bf45eec73c22f446458091656bafdb037a79a5a6,Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition,"École de technologie supérieure, Université du Québec, Montreal, Canada" -bfab7043e206f428f98be47ecc02d506be1148d7,FaceCAPTCHA: a CAPTCHA that identifies the gender of face images unrecognized by existing gender classifiers,"Graduate School of Culture Technology, KAIST, Daejeon, Republic of Korea" -bfab7043e206f428f98be47ecc02d506be1148d7,FaceCAPTCHA: a CAPTCHA that identifies the gender of face images unrecognized by existing gender classifiers,"Olaworks, Inc., Seoul, Republic of Korea" bf4073f334902cd76608655b2d54a624ccdbface,Data extraction for user profile management based on behavior,"Mathematic and Application Laboratory, FSTT, Tangier, Morocco" -bff80048f4efd4fc2082a37b7c8f645cdd9cc0c8,Accelerating a Computer Vision Algorithm on a Mobile SoC Using CPU-GPU Co-processing - A Case Study on Face Detection,"Inha University, Incheon, Korea" bf00071a7c4c559022272ca5d39e07f727ebb479,Facial expression recognition with dynamic Gabor volume feature,"Department of Computer Science, Chu Hai College of Higher Education, Hong Kong" bfb7619312e0d961b979fdcd7a327776a1fb2e26,Interpretation of ambiguous facial affect in adults with attention-deficit/hyperactivity disorder,"Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany" bfb7619312e0d961b979fdcd7a327776a1fb2e26,Interpretation of ambiguous facial affect in adults with attention-deficit/hyperactivity disorder,"LEAD Graduate School and Research Network, University of Tübingen, 72074 Tübingen, Germany" bf3b4f503c6dbbe15a6d22b215490f4b6176dd24,A Random Projection Imager for Visual Pattern Classification in Analog VLSI,"Universidad de Concepción, Department of Electrical Engineering, Concepción, Chile. Email: mfigueroa@die.udec.cl" -bf2f2696fdb4077b5ab18aa583f6376acadf2438,Supervised descent method based on appearance and shape for face alignment,"Institute of Automation Chinese Academy of Sciences, Beijing, China 100190" bfabdebd2185365e7b51f21138bb4e4b0d957a97,An open benchmark implementation for multi-CPU multi-GPU pedestrian detection in automotive systems,Universitat Politècnica de Catalunya bfabdebd2185365e7b51f21138bb4e4b0d957a97,An open benchmark implementation for multi-CPU multi-GPU pedestrian detection in automotive systems,Barcelona Supercomputing Center (BSC) bfabdebd2185365e7b51f21138bb4e4b0d957a97,An open benchmark implementation for multi-CPU multi-GPU pedestrian detection in automotive systems,Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya d2f16e84f5df5f00f2d5b7326ab28bf0fa233007,Cubic style browsing system for large-scale image database,"Division of Advanced Information Technology & Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, 184-8588 Japan" -d246b50b99eb2d2f1e67b855e059002b96a64f86,LeSSS: Learned Shared Semantic Spaces for Relating Multi-Modal Representations of 3D Shapes,University of Mainz d2069cf09a9b7ecffecdd32a7a34e861669cebcb,Task-relevant object detection and tracking,"Department of Computer Science University of Rochester, NY 14627, USA" d264a1b519c1e68d6f07cd05b7422061647e1dfe,Dictionary learning for hash representation,"Department of Computer Science, Zhejiang Normal University Jinhua, P.R. China" d2067c7d31bebf89249966c3d8ee9395dd8531b8,Visual congruent ads for image search,"Yahoo, USA" @@ -3578,239 +2110,133 @@ d2067c7d31bebf89249966c3d8ee9395dd8531b8,Visual congruent ads for image search," d2067c7d31bebf89249966c3d8ee9395dd8531b8,Visual congruent ads for image search,"Centrum Wiskunde & Informatica (CWI), The Netherlands" d24855c3d8106b2809640579caff9fc5733aecd1,Modelling of pedestrian groups and application to group recognition,"University of Rijeka, Faculty of Engineering, Croatia" d24855c3d8106b2809640579caff9fc5733aecd1,Modelling of pedestrian groups and application to group recognition,"Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan" -d26f0f3696d4b895e8ecafe7469164c4debacf89,Single sample face recognition based on DCT and local gabor binary pattern histogram,"Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, China" -d2598c088b0664c084413796f39697c6f821d56e,Cross-modal face matching: Tackling visual abstraction using fine-grained attributes,"School of Information and Communication Engineering, Beijing University of Posts and Telcommunications, Beijing, China" d2b3166b8a6a3e6e7bc116257e718e4fe94a0638,An unsupervised approach to learn the kernel functions: from global influence to local similarity,"Computer Vision Research Group, School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia" d29895fca6ae688514850856208c2b88f01ea3e0,Multi-Target Video Tracking Based on Improved Data Association and Mixed Kalman/ $H_{\infty }$ Filtering,"Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand" -d2a79aa924ae81034d9e1a9ceb9e3004ff3922f6,Collaborative representation with reduced residual for face recognition,"Harbin Institute of Technology Shenzhen Graduate School, University Town, Shenzhen, China" -d23ca7d5f846223b793a5694dcfd9cc931aac1aa,Secure multimodal biometric authentication with wavelet quantization based fingerprint watermarking,"School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou, China" -d291befa3249b49d57e6bb5abc643ce6d728f7dd,Mono-Stixels: Monocular Depth Reconstruction of Dynamic Street Scenes,"Robert Bosch GmbH, Hildesheim, Germany" d291befa3249b49d57e6bb5abc643ce6d728f7dd,Mono-Stixels: Monocular Depth Reconstruction of Dynamic Street Scenes,"Goethe University, VSI Lab, Frankfurt, Germany" d2e51df571802666e3f224be25d2b7715f018c9f,Face recognition using Gabor-based complete Kernel Fisher Discriminant analysis with fractional power polynomial models,"Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan" d2e51df571802666e3f224be25d2b7715f018c9f,Face recognition using Gabor-based complete Kernel Fisher Discriminant analysis with fractional power polynomial models,"Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Xili, Shenzhen, People’s Republic of China" d2a3ca86969d8fe99eabbf5a7943c125b603cdf1,Multi-resolution for disparity estimation with convolutional neural networks,"Liverpool University, UK" d2a3ca86969d8fe99eabbf5a7943c125b603cdf1,Multi-resolution for disparity estimation with convolutional neural networks,"Libera Universit di Bolzano-Bozen, Itally" -d2c24fd4b54fdb88e6574da7c42653a94078d58c,Neural network model of pumping units in oil preparation and pumping complex,"Scientific Research Institute of Multiprocessor Computer Systems, Southern Federal University, Taganrog, Russia" d24d3370b2e7d254e999140024d8a7bddf701502,SVM classifier based face detection system using BDIP and BVLC moments,"School of Electronics and Telecommunications, Hanoi University or Science and Technology, Vietnam" bcbebb62125751b9957fb5ab765702a445fb8146,Ear detection using fully convolutional networks,"XiHua University, Cheng Du" bc78f0086ba2ceaadd0094003a5ab02df21a7bad,Facial Emotion Recognition: A Comparison of Different Landmark-Based Classifiers,"Facultad de Ingenieria, Universidad Panamericana, Aguascalientes, Mexico" bc78f0086ba2ceaadd0094003a5ab02df21a7bad,Facial Emotion Recognition: A Comparison of Different Landmark-Based Classifiers,"Escuela de Negocios Gastronomicos, Universidad Panamericana, Aguascalientes, Mexico" -bc8cbd105f45cdc447b6c7cf2093ec6a24b92728,Low illumination person re-identification,"School of Computer and Information Engineering, Henan University, Kaifeng, China" bc0bfa9cae364816dac01151d96d0335eb8fb177,Face recognition improvement by converting expression faces to neutral faces,"Department of Computer Engineering, King Mongkut's University of Technology Thonburi, 126 Pracha-uthit Rd., Bang-mod, Thung-Khru, Bangkok 10140, Thailand" bccef9817e38e8e9b450edc062f3938f1e25281c,Frontal face detection with evolutionary template matching,"Graduate School of Engineering, Department of Design and Media Technology, Iwate University, Iwate, Japan" bcd162862b6d3a56b474039b2588a8f948d59fe0,"Face detection and tracking system with block-matching, meanshift and camshift algorithms and Kalman filter",Informatics Laboratory of Paris6 (LIP6) bcd162862b6d3a56b474039b2588a8f948d59fe0,"Face detection and tracking system with block-matching, meanshift and camshift algorithms and Kalman filter","Polytechnic Military Institute, Bp17 Bordje El Bahri Algeria" bcd162862b6d3a56b474039b2588a8f948d59fe0,"Face detection and tracking system with block-matching, meanshift and camshift algorithms and Kalman filter","ENET'COM-SFAX, Tunisia" bcefb15246b1c9cea74a49a4ba1c990b6b97a19c,"Review on the effects of age, gender, and race demographics on automatic face recognition","Department of Electrical, Electronic, and System Engineering, (UKM) Universiti Kebangsaan Malaysia, Bangi, Malaysia" -bcf2710d46941695e421226372397c9544994214,Facial expression recognition based on transfer learning from deep convolutional networks,"School of Science, Southwest Petroleum University, Chengdu, China" -bc14c01ac17f7b3527435a650503ca26f3c84aca,Person re-identification based on set-to-set metric learning,"Reconstruct & Expansion Project of Zhu-Xin Section of Henan Expressway Co. Ltd, Xinyang, China" bcb1540377ac162df5dd1b9206cc7550dd7954f8,Experiments with Ocular Biometric Datasets: A Practitioner’s Guideline,University of Quebec bcb1540377ac162df5dd1b9206cc7550dd7954f8,Experiments with Ocular Biometric Datasets: A Practitioner’s Guideline,"National Institute of Technology, Rourkela" bcb1540377ac162df5dd1b9206cc7550dd7954f8,Experiments with Ocular Biometric Datasets: A Practitioner’s Guideline,University of Beira Interior bcc1e0043567ab73969116f34752b36a33ad96bc,Improved pose estimation by inlier refinement for visual odometry,"Vellore Institute of Technology, Chennai, Tamil Nadu" bcc1e0043567ab73969116f34752b36a33ad96bc,Improved pose estimation by inlier refinement for visual odometry,"CSIR-Central Scientific Instruments Organisation, Chandigarh, 160030" -bcb79e3ac69508060c8cba105f6a8622eb929ab1,Robustifying compressed projections for expressive iris localization,"Image Processing and Analysis Laboratory, Applied Electronics and Information Engineering Department, University “Politehnica” of Bucharest, Romania" bcebb4ce6e4410a97e03cb2fc4d38aaf29e636e9,Automatic affective dimension recognition from naturalistic facial expressions based on wavelet filtering and PLS regression,"Department of Electronic and Computer Engineering, Brunel University London, UK" -bc607bee2002c6c6bf694a15efd0a5d049767237,A novel large-scale multimedia image data classification algorithm based on mapping assisted deep neural network,"Infosys Limited, Bhubaneswar, India" -bc955487a0b8d2fae3f2f44320389a12ae28f0f5,Face Sketch–Photo Synthesis and Retrieval Using Sparse Representation,"Center for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia" bcee0fcc3af1f05d567d25012a64a08857d31bd5,QsRank: Query-sensitive hash code ranking for efficient ∊-neighbor search,Microsoft Corporation bc9cb21ed76e1852075cbee21cdf6471df288798,Multisensor Filtration and Fusion on a Three-Layer Architecture,"Multi-Robot Systems (MRS) Research Group, German University in Cairo, Cairo, Egypt" -bc7fdd91d351203f2820240b43b9aa4a66d0a8e3,Automatic Tuberculosis Screening Using Chest Radiographs,"Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA" bc7fdd91d351203f2820240b43b9aa4a66d0a8e3,Automatic Tuberculosis Screening Using Chest Radiographs,"Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA" bc7fdd91d351203f2820240b43b9aa4a66d0a8e3,Automatic Tuberculosis Screening Using Chest Radiographs,"Department of Computer Science, University of Missouri-Columbia, Columbia, MO, USA" -bc220d15a0f079e1ba2533494b04a8c40e8eb73c,Submarine Pipeline Identification in Side Scan Sonar Image,"Jiangsu Automation Research Institute, Lianyungang, Jiangsu Province, 222061, China" bcb12dd13426ec7aa4d480ef829fef798f0e374d,Down to Earth: Using Semantics for Robust Hypothesis Selection for the Five-Point Algorithm,"Bundeswehr University Munich, Neubiberg, Germany" bcb12dd13426ec7aa4d480ef829fef798f0e374d,Down to Earth: Using Semantics for Robust Hypothesis Selection for the Five-Point Algorithm,"The University of North Carolina at Chapel Hill, Chapel Hill, USA" ddcb62a2398cbf499e1852ee07956d4fd58e771d,3-D Face Recognition Using eLBP-Based Facial Description and Local Feature Hybrid Matching,"Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, Ecully, France" -ddd23ef5c1b25f77ea4e22ebd421df7a58a71818,Derivative code and its pattern for object recognition,"Graduate School at Shenzhen, Tsinghua University Shenzhen, China" -ddd4287e62bf3bd422e0f372476c8d90ce115803,"Multifeature, Sparse-Based Approach for Defects Detection and Classification in Semiconductor Units","Assembly and Test Technology Development, Intel Corporation, Chandler, AZ, USA" ddfc978b3a149015c9e517fbfe1b8563df5e7356,Face super resolution based on parent patch prior for VLQ scenarios,"State Key Laboratory of Software Engineering, School of Computer of Wuhan University, Wuhan, People’s Republic of China" ddfc978b3a149015c9e517fbfe1b8563df5e7356,Face super resolution based on parent patch prior for VLQ scenarios,"Collaborative Innovation Center of Geospatial Technology, Wuhan, People’s Republic of China" ddfc978b3a149015c9e517fbfe1b8563df5e7356,Face super resolution based on parent patch prior for VLQ scenarios,"NERCMS, Computer School of Wuhan University, Wuhan, People’s Republic of China" -dd8bc239c1c5a142ded241cebf6a0b7a0efbdee2,Real-time mask detection in multimedia environment,"State Grid Zhejiang Electric Power Research Institute, Hangzhou, China" -dd8bc239c1c5a142ded241cebf6a0b7a0efbdee2,Real-time mask detection in multimedia environment,"State Grid Zhejiang Xianju Power Supply Co., Ltd, Taizhou, China" dd8d09eab82d7ec4457317d9f9427122d2ffb649,Recognition of expression variant faces - a principle component analysis based approach for access control,"Department of Computing, Informatics institute of Technology, Colombo, Sri Lanka" ddb1a392582c624c9116cb00eac01aba220fad84,Face frontalization enhanced by deep learning,"Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye" -ddc17537f7895464523b5aff77d41d756a12bf18,Perceptually Aware Image Retargeting for Mobile Devices,"Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou, China" ddc17537f7895464523b5aff77d41d756a12bf18,Perceptually Aware Image Retargeting for Mobile Devices,"Computer Science Department, University of Illinois at Urbana–Champaign, Champaign, IL, USA" -dda820650eed893fd88d4bc9fe11fd238f3f4bbf,Optimizing Convolutional Neural Networks for low-resource devices,"Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Romania" dd8ad6ce8701d4b09be460a6cf058fcd5318c700,Robust Face Recognition for Uncontrolled Pose and Illumination Changes,"University of Salerno, Salerno, Italy" -dd0258367fadb632b612ccd84fbc1ef892e70aeb,Face Recognition Method Combining 3D Face Model with 2D Recognition,"Xi'an University of Technology, China" -dd0258367fadb632b612ccd84fbc1ef892e70aeb,Face Recognition Method Combining 3D Face Model with 2D Recognition,"Xi'an Shiyou University, China" -dd1a85e4c2ab2ed241af0e8d6e588498597abc8d,Low-resolution face recognition: a review,"Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China" -dd056ecfdcc8ce89a550e56887f1df1a66f5cbff,Body Structure Aware Deep Crowd Counting,"School of Information Science and Technology, ShanghaiTech University, Shanghai, China" dd9716a7d00fc6656537bb035e35acdeb21fa497,Persistent homology to analyse 3D faces and assess body weight gain,"Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy" dd9716a7d00fc6656537bb035e35acdeb21fa497,Persistent homology to analyse 3D faces and assess body weight gain,"Computer Vision and Machine Learning Research Group, School of Engineering, University of Central Lancashire, Preston, UK" -dd688b5e438f0b6bcd7121de03e518559516a306,Deep graph fusion for graph based label propagation,"Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran" dd320b262e7891c6e51b34e213aa0ccb14af3ecb,Face-based recognition systems in the ABC e-gates,"Department of Computer Science and Statistics, Rey Juan Carlos University, Madrid, Spain" -ddd9d7cb809589b701fba9f326d7cf998a63b14f,What Can We Learn about Motion Videos from Still Images?,"School of Computer Science and Technology, Tianjin University&Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China" dd887e7c94e0eb7748f3aea3c3a85cc73f94c11d,An Ada-Random Forests based grammatical facial expressions recognition approach,"Department of Computer Science and Engineering, International Islamic University Chittagong, Bangladesh" 343192938edf3e650169f1650349206f2b02e00c,A Lightweight Online Multiple Object Vehicle Tracking Method,"Computer Engineering Department, Galatasaray University, Istanbul, 34349, Turkey" -34785299c5e8604f5b7c09c8190915da7429adbb,Biased Competition in Visual Processing Hierarchies: A Learning Approach Using Multiple Cues,"Honda Research Institute Europe GmbH, Offenbach, Germany" -3409aa0ae519ee18043e347e60d85e53e452650a,EDA-based optimal Gabor kernel's scale and orientation selection for facial expression recognition,"College of Computer and Communication Engineering, China University of Petroleum, Dongying, China" -347e62b6a241462b192622f78413a2c724deb0aa,Benchmarking non-photorealistic rendering of portraits,"The Interdisciplinary Center Herzliya, Israel" -347e62b6a241462b192622f78413a2c724deb0aa,Benchmarking non-photorealistic rendering of portraits,"Mainz University, Germany" -347e62b6a241462b192622f78413a2c724deb0aa,Benchmarking non-photorealistic rendering of portraits,"Adobe Systems, Inc." 34c8b940dcc94b23269e8eb5f0c4abeefc50ded2,Fast Occupancy Grid Filtering Using Grid Cell Clusters From LIDAR and Stereo Vision Sensor Data,"Department of Digital Media, Catholic University of Korea, Bucheon, South Korea" 34f557dc85066384ecb5e76000f22f01100dec9c,Single image 3D human pose estimation from noisy observations,"Institut de Robòtica i Informàtica Industrial (CSIC-UPC), 08028, Barcelona, Spain" -34cf0dd8eae31de7baf250cec94f8399a4fada1a,A biased sampling strategy for object categorization,"Xi An Jiaotong University, China" 343b07fc60e2bf9c2a2c8da7d46cee1c3bb85cf6,Automatic lip identification applied under soft facial emotion conditions,"Institute for Technological Development and Innovation in Communications (IDeTIC), Signals and Communications Department, University of Las Palmas de Gran Canaria Las, Palmas de Gran Canaria, Spain" -34bae042a882c0c4db79bee95420792f9f25eccd,Density Enhancement-Based Long-Range Pedestrian Detection Using 3-D Range Data,"Military Transportation University, Tianjin, China" 349434653429733f5f49fe0e160027d994cef115,Facial expression recognition with discriminatory graphical models,"Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran" -34c2ea3c7e794215588c58adf0eaad6dc267d082,Multi-modal emotion recognition using semi-supervised learning and multiple neural networks in the wild,"Inha University, South Korea" -34301fbf4624139a40176dbde6f5954b2df6de7b,Facial expression recognition based on wavelet transform and MLP neural network,"Sch. of Inf., Wuyi Univ., Guangdong, China" -34dece36ee166864cf1b766d3243ba36fdf3f6e7,Summarisation of surveillance videos by key-frame selection,"NICTA, PO Box 6020, St Lucia, QLD 4067, Australia The University of Queensland, School of ITEE, QLD 4072, Australia" -34698ba3bf6b093781fc1bb89f1d0ba7c93ede3b,Human Age Estimation Based on Locality and Ordinal Information,"IBM Research-China, Beijing, China" -34698ba3bf6b093781fc1bb89f1d0ba7c93ede3b,Human Age Estimation Based on Locality and Ordinal Information,"School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China" 340866188aa3865642d374a48f56ed2741b3b8de,A new descriptor for UAV images mapping by applying discrete local radon,"Engineering Department, Raja University of Qazvin, Iran" 34f5acebcb39d844d3bef5cf4a840fb505bda5e1,In-depth Exploration of Geotagging Performance using Sampling Strategies on YFCC100M,"CERTH, Thermi-Thessaloniki, Greece" -34ca83537d5d5128dd80cd3c4cae3c45fa5f2263,Deep Supervised Hashing with Pairwise Bit Loss,"College of Command Information Systems, PLA University of Science & Technology, Nanjing, China" 34ccebc467bad0fc179543bde7d1bc04bed2397c,Recognizing Actions Through Action-Specific Person Detection,"Department of Electrical EngineeringComputer Vision Laboratory, Linköping University, Linköping, Sweden" -34ccebc467bad0fc179543bde7d1bc04bed2397c,Recognizing Actions Through Action-Specific Person Detection,"Computer Vision Centre Barcelona, Barcelona, Spain" -34ccebc467bad0fc179543bde7d1bc04bed2397c,Recognizing Actions Through Action-Specific Person Detection,"Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland" 34d14e8752f7e368b78b4e72beb851087cc336b1,EMD Based Face Gender Discrimination,"PRIS Lab of Beijing University of Posts and Telecommunications, Beijing 100876; Chongqing Three Gorges University, Chongqing 404000. E-mail: niexf@tom.com" -34bb062432bb5a95f0cefae4dcf9936b850e9c39,Actlets: A novel local representation for human action recognition in video,"INRIA - Willow Project, Laboratoire d'Informatique, École Normale Supérieure, France" -21ad377aeb6ff099c5a59fa82cec95b0bba177bb,MCMC particle filter-based vehicle tracking method using multiple hypotheses and appearance model,"Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea" -21853e5624b6ac24c19659c336aa46eb4e491ee9,Evaluation of automatic 4D face recognition using surface and texture registration,"Visual Inf. Process. Group, Imperial Coll. London, UK" 21697dda852b69885d71caa309482f14552d273b,Dimension Reduction for Hypothesis Testing in Worst-Case Scenarios,"Laboratoire J.-L. Lagrange, UMR7293, Université de Nice Sophia Antipolis, Nice Cedex, France" 219aa7fe458e36e7b6402ad0d31cd5197884ac87,Action exemplar based real-time action detection,"SET Corporation, Arlington, VA, USA" -21cbf46c6adfb3a44ed2b30ff0b21a8391c18b13,Learning robust latent subspace for discriminative regression,"College of Mathematics and Informatics, South China Agricultural University, China" 21959bc56a160ebd450606867dce1462a913afab,Face recognition based on manifold constrained joint sparse sensing with K-SVD,"Xinjiang Vocational and Technical College of Communications, Wulumuqi, People’s Republic of China" 21e2a03825b260a7dbccafc0c113af3f9fd73581,"Simultaneous detection of pedestrians, pose, and the camera viewpoint from 3D models","Department of Mathematics, Ewha Womans University, Seoul, Korea" -2116b13eb3af418ef02502715e8f3c98664e699a,An adaptive sparse representation model by block dictionary and swarm intelligence,"School of Information Science and Engineering Shandong University Jinan, Shandong, 250100, China" 218a8065deb64bdbedfc3f8d889d57dfc8c42bfe,Context-based person identification framework for smart video surveillance,"Department of Computer Science, University of California, Irvine, USA" -21ec41a6ee3c655cf54c6db659d56480fc76e742,Authentic facial expression analysis,"Fac. of Sci., Amsterdam Univ., Netherlands" -21d7c74ed8a1c777debe96937c08b162ee01eac6,Exploring the Potential of Using Semantic Context and Common Sense in On-Road Vehicle Detection,"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, P.R., 710049, China" 21a82c06f71a99ce40f5ffb72fe2908abac8433c,Track-oriented evaluation of multi-target tracking without knowing ground truth,"Department of Electrical Engineering, University of New Orleans, New Orleans, LA70148, U.S.A" -21732ecbba1a75d54e8b90c1804f0b77953466e6,Geometric statistics-based descriptor for 3D ear recognition,"Pattern Analysis and Machine Intelligence Lab, Discipline of Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India" -21462ab847ee919abbd862c1f86b7c13ad34d519,"Traffic scene segmentation based on boosting over multimodal low, intermediate and high order multi-range channel features","Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj - Napoca, Romania" -2148e8484c8f27d853872c59f483f0d281fc664c,Urban tree canopy detection using object-based image analysis for very high resolution satellite images: A literature review,"Terna Engineering College, University of Mumbai, Navi Mumbai 400706, India" 214072c84378802a0a0fde0b93ffb17bc04f3759,Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos,"Office of Safety Research and Development, Federal Highway Administration, U.S. Department of Transportation, Virginia, USA" -217aa3aa0b3d9f6f394b5d26f03418187d775596,Predicting Human Intentions from Motion Cues Only: A 2D+3D Fusion Approach,"Istituto Italiano di Tecnologia (IIT) & Università degli Studi di Genova, Genova, Italy" -217aa3aa0b3d9f6f394b5d26f03418187d775596,Predicting Human Intentions from Motion Cues Only: A 2D+3D Fusion Approach,"Istituto Italiano di Tecnologia (IIT), Genova, Italy" 217aa3aa0b3d9f6f394b5d26f03418187d775596,Predicting Human Intentions from Motion Cues Only: A 2D+3D Fusion Approach,"Istituto Italiano di Tecnologia (IIT) & Università di Torino, Genova, Italy" 217aa3aa0b3d9f6f394b5d26f03418187d775596,Predicting Human Intentions from Motion Cues Only: A 2D+3D Fusion Approach,"Istituto Italiano di Tecnologia & Università di Verona, Genova, Italy" 2138ccf78dcf428c22951cc066a11ba397f6fcef,Efficacy of biophysiological measurements at FTFPs for facial expression classification: A validation,"Curtin University Department of Mechanical Engineering, Perth, Western Australia 6012" 21b58c8aba44c173493e418a797a1f36c6dae8a9,ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation,"Department of Electronics, University of Alcalá, Alcalá de Henares, Spain" 21b58c8aba44c173493e418a797a1f36c6dae8a9,ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation,"CSIRO-Data61, Canberra, Australia" -218ce079b9e64288faf20a87043dc32884105102,A survey: Verification of family relationship from parents and child facial images,"Department of Computer Science & Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India" 21fbcd455db2ed78d47d10fd16ed88b667632906,Weight-based sparse coding for multi-shot person re-identification,"Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, USA" 4bcbb221693f45d12f6ea623d6ca068f0bf7ba06,Nighttime pedestrian detection by selecting strong near-infrared parts and enhanced spatially local model,"Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan, ROC" 4bcbb221693f45d12f6ea623d6ca068f0bf7ba06,Nighttime pedestrian detection by selecting strong near-infrared parts and enhanced spatially local model,"Chung-Shan Institute of Science and Technology, Taiwan, ROC" -4bb687247d76834f6a16002f5e78244f5fa9370c,Learning Parallel Canonical Correlations for Scale-Adaptive Low Resolution Face Recognition,"School of Information Engineering, Yangzhou University, Yangzhou, China" -4bc176200ff718ea0a0650145d3d263b0b7dfb39,An image conveys a message: A brief survey on image description generation,"Department of Computer Science and Information Technology (CS&IT), Mirpur University of Science and Technology (MUST)" 4bc176200ff718ea0a0650145d3d263b0b7dfb39,An image conveys a message: A brief survey on image description generation,"Department of Computer Science (CPSD), University of Engineering and Technology (UET), Taxila" 4b28de1ebf6b6cb2479b9176fab50add6ed75b78,Beyond pairwise clustering,"Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA" 4bb1a4ebdfa98e30e12fffec3fe5a75c6c113bab,Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization,"Instituto de Telecomunicações and Instituto Superior Técnico, Universidade de Lisboa, Portugal" 4b7302e805eb079ccf2b9b6bf99c09479d4190e2,Multi-sensor identity tracking with event graphs,"Australian Centre for Field Robotics (ACFR), School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney 2006 NSW, Australia" 4bc4a7c4142e8b37389fddd1e2338298b8b56e96,Confidence assessment of face recognition results,"EBIS, spol. s r.o. & Department of Radioelectronics, Brno University of Technology, Czech Republic" 4bc4a7c4142e8b37389fddd1e2338298b8b56e96,Confidence assessment of face recognition results,"Department of Radioelectronics, Brno University of Technology, Czech Republic" -4bdf749e43a8e0294ba345d2d3e524e21a144ef2,Count on Me: Learning to Count on a Single Image,"Department of Computer Science, Vision, Image Processing and Sound Laboratory, University of Verona, Verona, Italy" -4be211df856e2fc0d999598ba6561a22e65997b6,Object proposal using 3D point cloud for DRC-HUBO+,"Robotics and Computer Vision Labortory, Dep. of EE, KAIST, Daejeon, 34141, Korea" 4be211df856e2fc0d999598ba6561a22e65997b6,Object proposal using 3D point cloud for DRC-HUBO+,"Naver Labs, Seongnam, 13561, Korea" -4be211df856e2fc0d999598ba6561a22e65997b6,Object proposal using 3D point cloud for DRC-HUBO+,"Humanoid Research Center, Dep. of ME, KAIST, Daejeon, 34141, Korea" -4bd09fc152d680dbd3027ca14deea290f7bdec36,Hierarchical CRF with product label spaces for parts-based models,"La Salle, Universitat Ramon Llull. Barcelona 08022, Spain" 4bd09fc152d680dbd3027ca14deea290f7bdec36,Hierarchical CRF with product label spaces for parts-based models,"Centre de Visió per Computador. Universitat Autònoma de Barcelona, 08193, Spain" 4b990e033578424dc7cca28df9b638098cbdd1ce,"Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion","Harvard Medical School, Boston" -4bc411ee896755862158885843900c8bdde597c0,Face Recognition Based on Dominant Frequency Features and Multiresolution Metric,"Kumamoto Univ., Kumamoto" 4bb261e727835aca4ac4b61a6147ab5d84aab709,Accident Scenario Generation with Recurrent Neural Networks,"Department of Computer Science and Engineering, Chalmers I University of Gothenburg, Gothenburg, Sweden" 4bb261e727835aca4ac4b61a6147ab5d84aab709,Accident Scenario Generation with Recurrent Neural Networks,"Veoneer Research, Våraårda, Sweden" -4bb261e727835aca4ac4b61a6147ab5d84aab709,Accident Scenario Generation with Recurrent Neural Networks,"Zenuity, Gothenburg, Sweden" 4bd21123e4193f61da38f8246380f1dc9d39a646,Contextual boost for pedestrian detection,"Epson Research and Development, Inc., 214 Devcon Drive, San Jose, CA 95112" 3d8a4533197c9d765f08a177d147d30251f76b7f,Monocular Epipolar Constraint for Optical Flow Estimation,"GET Lab, University of Paderborn, Paderborn, Germany" 3de5550bcca62e0dd8520474ece51731f46b101f,Graphical stochastic models for tracking applications with variational message passing inference,"Robert Bosch GmbH, Stuttgart, Germany" 3de5550bcca62e0dd8520474ece51731f46b101f,Graphical stochastic models for tracking applications with variational message passing inference,"ISIP, University of Luebeck, Luebeck, Germany" 3d61557da178b6210cb67c3d8934afe1fa434830,Comparison of CNN and MLP classifiers for algae detection in underwater pipelines,"Federal University of Rio de Janeiro - COPPE - Electrical Engineering Program, Rio de Janeiro, Brazil" -3d13ab40e9b9d471c77907f4cb846f12c306e9db,Saliency-based framework for facial expression recognition,"Université de Lyon, CNRS, LIRIS, UMR5205, Université Lyon 1, Lyon, France" -3d13ab40e9b9d471c77907f4cb846f12c306e9db,Saliency-based framework for facial expression recognition,"Laboratoire Hubert Curien, UMR5516, Université Jean Monnet, Saint-Etienne, France" 3d13ab40e9b9d471c77907f4cb846f12c306e9db,Saliency-based framework for facial expression recognition,"Faculty of Information Technology, Barrett Hodgson University, Karachi, Pakistan" 3de8310c685cc9ce6327ce715e835e8806539a34,Beyond thinking in common categories: Predicting obstacle vulnerability using large random codebooks,"Computer Vision Group, Friedrich Schiller University Jena" -3db824136c1a1d447a1fd20fa70e478097d23fe4,A novel approach for multi-object tracking using evidential representation for objects,"SATIE, Université Paris-Sud, Université Paris-Saclay, France" 3d84ced34be1e8e61cb66f9270efc801fb4f4f2a,On the vulnerability of face recognition systems towards morphed face attacks,"da/sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany" 3d84ced34be1e8e61cb66f9270efc801fb4f4f2a,On the vulnerability of face recognition systems towards morphed face attacks,"Norwegian Biometrics Laboratory, NTNU, Gj⊘vik, Norway" -3dedff7d7813af193589e44c204b08f34c297764,Image Description Generation by Modeling the Relationship Between Objects,"Guangxi University, School of Computer, Electronics and Information, Nanning, China" -3dedff7d7813af193589e44c204b08f34c297764,Image Description Generation by Modeling the Relationship Between Objects,"China-ASEAN Research Institute of Guangxi University, Nanning, China" -3d1f976db6495e2bb654115b939b863d13dd3d05,Labeling faces with names based on the name semantic network,"Computer Science College, Xi’an Polytechnic University, Xi’an, China" 3dfecf073b2ea403def1fdba11835b8a95cf01a0,New technique for face recognition based on Singular Value Decomposition (SVD),"Interdisciplinary Laboratory of Research in Sciences and Technologies (LIRST), Sultan Moulay Slimane University, Morocco" 3d9c027078916d51a0484ee5ff619d49be505afa,Comparison and improvement of PCA and LBP efficiency for face recognition,"Pakistan Navy Engineering College, Karachi National University of Science and Technology, Islamabad Pakistan" 3d5b43dcb9725f469635c54c01f6bc90976b4ee0,Triplet CNN and pedestrian attribute recognition for improved person re-identification,"Thales Services, ThereSIS, Palaiseau, France" -3d4feeb390b040408377f49681f584189de0ab86,A New Approach on Spatio-temporal Scene Analysis for Driver Observation,"South Westphalia University of Applied Sciences, Soest, Germany" 3d4feeb390b040408377f49681f584189de0ab86,A New Approach on Spatio-temporal Scene Analysis for Driver Observation,"University of Bolton, Bolton, UK" -3d2bd09ba8629e3fb2bd4467c05cba13f37913fa,CNN-based rate-distortion modeling for H.265/HEVC,"School of Remote Sensing and Information Engineering, Wuhan University Wuhan, China" 3de3ad0f6ae59ff579dc32856740f9f9b801eadd,Methodology for improving detection speed of pedestrians in autonomous vehicle by image class classification,"Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea" 3de3ad0f6ae59ff579dc32856740f9f9b801eadd,Methodology for improving detection speed of pedestrians in autonomous vehicle by image class classification,"School of Electronics Engineering, Kyungpook National University, Republic of Korea" -3de5dc06f5d089dee111e048c7174a834f1363c1,Dynamic facial expression recognition using autoregressive models,"National Engineering Research Centre for E-Learning, Central China Normal University, Wuhan, China" -3de5dc06f5d089dee111e048c7174a834f1363c1,Dynamic facial expression recognition using autoregressive models,"Collaborative&Innovative Centre for Educational Technology (CICET) Central China Normal University, Wuhan, China" -3de5dc06f5d089dee111e048c7174a834f1363c1,Dynamic facial expression recognition using autoregressive models,"Hankou College, Wuhan, China" -3db349ea211ed3e71baf7c7f6739ea0b086c5db7,A novel shape information based spindle positioning method with the polarized light microscopy,"Robotics and Microsystem Center, China" -3d657f1e499260a3235ce0f955e6289db32d5111,Predicting Long-Term Trajectories of Connected Vehicles via the Prefix-Projection Technique,"School of Cybersecurity, Chengdu University of Information Technology, Chengdu, China" -3d657f1e499260a3235ce0f955e6289db32d5111,Predicting Long-Term Trajectories of Connected Vehicles via the Prefix-Projection Technique,"School of Management, Chengdu University of Information Technology, Chengdu, China" 3d657f1e499260a3235ce0f955e6289db32d5111,Predicting Long-Term Trajectories of Connected Vehicles via the Prefix-Projection Technique,"School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA" -3d32f5e055d6e441d059b1f55b3cb3c1f5f85c26,Combining Software-Based Eye Tracking and a Wide-Angle Lens for Sneaking Detection,"University of Kaiserslautern & German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany" 3d2d439ead6e32877ce40e5568e62dee4a877836,Visual attribute classification using feature selection and convolutional neural network,"Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, P.R. China, 215123" -3d38022d7ba71e865ca406d28acd3fe547024319,Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks,"Cooperative Medianet Innovation Center, Shang hai Jiao Tong University, China" -3d38022d7ba71e865ca406d28acd3fe547024319,Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks,"Academy of Broadcasting Science, China" -3d53493916cdf49ba29aebef955ab6b32a05762f,Gaze Estimation in the 3D Space Using RGB-D Sensors,"École polytechnique fédéral de, Lausanne (EPFL), Switzerland" 3d2e872997a0f5f07786121807cffb357fa91152,"Large-Area, Multilayered, and High-Resolution Visual Monitoring Using a Dual-Camera System",National Kaohsiung Marine University 3d21d0923d9f7dc3836f2790dd8e1db98e0c2013,A graph theory-based online keywords model for image semantic extraction,"University of Huddersfield, Huddersfield, West Yorkshire, UK" -3db739406a5cc3326a35ce59cb261a41a0ca8f30,A novel algorithm to predict and detect suspicious behaviors of people at public areas for surveillave cameras,"Department of Computer Science and Egg., Sri Jayachamarajendra College of Engineering Mysore-570006, India" 3d732ba534081326eb9de70f2e370a31940c2990,Semantic image segmentation using fully convolutional neural networks with multi-scale images and multi-scale dilated convolutions,"Pattern Recognition and Machine Learning Lab, Gachon University, Seongnam, Korea" -3d919e63307610258720cd0d39b37904acd5c77e,YELP: masking sound-based opportunistic attacks in zero-effort deauthentication,University of Alabama 3d99cf9ab3b7aeea322c3c6b10fab3fa3ffa0489,Recognizing proxemics in personal photos,UC Irvine 3d23fcaec13373c514965ebf50f16939bde19aac,Analysis of pedestrian collision risk using fuzzy inference model,"Graduate School of Electrical Engineering, University of Ulsan, Ulsan, 133-791, Korea" -3d045d8d8b1af5eb6ba0b8365dc87d57bebafb4e,Seamline Determination Based on Semantic Segmentation for Aerial Image Mosaicking,"Cookpad, Inc., Tokyo, Japan" -3d5e4ae1b8f8384ff490ea5c7d68873b8ce0a25f,Real-time Pedestrian and Vehicle Detection for Autonomous Driving,"Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, 541004, China" -3d5e4ae1b8f8384ff490ea5c7d68873b8ce0a25f,Real-time Pedestrian and Vehicle Detection for Autonomous Driving,"Guangxi Key Laboratory of Optoelectronic Information Processing, Guilin University of Electronic Technology, Guilin, 541004, China" 235bebe7d0db37e6727dfa1246663be34027d96b,General Type-2 fuzzy edge detectors applied to face recognition systems,"School of Engineering, University of Baja California, Tijuana, México" -234112fd23604cae638b133e6581a3a91b8b6107,Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects,"UBTech Sydney Artificial Intelligence Institute, Sydney, NSW, Australia" 23e3d00d580dc61ecb9ac4163e3acebbf622d507,Boosting with Multiple Classifier Families,"National ICT Australia, Locked Bag 8001, Canberra, Australia. Email: lars.petersson@nicta.com.au" -230e45294a95a7b773a27dcc3fc52ad5e116f9a7,(Two-Dimensional)2 whitening reconstruction for newborn recognition,"Member, Education & Research, Infosys Ltd., Chandigarh, India" -230e45294a95a7b773a27dcc3fc52ad5e116f9a7,(Two-Dimensional)2 whitening reconstruction for newborn recognition,"Computer Science Department, Indian School of Mines, Dhanbad, India" -23b4dfe0669dec9fe862f962e222b6987e09e061,Tagging event image set using face identification,"Department of Computer Science and Applications, Bangalore University, India" -23b4dfe0669dec9fe862f962e222b6987e09e061,Tagging event image set using face identification,"Department of Computer Science & Engineering, SNS College of Technology, Coimbatore, India" 23f93b27908a233f920aa1e652982da367822067,Security Systems with Biometry based on Partial View Facial Images Using Geometrical Features,"Faculty of Physics and Applied Informatics, University of Lodz, Pomorska str. 149/153, Lodz, Poland" 23f93b27908a233f920aa1e652982da367822067,Security Systems with Biometry based on Partial View Facial Images Using Geometrical Features,"Dept. of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Co, Louth Ireland" -23453a37beea310b53419be45fe266bcf243ab49,Camera based target recognition for maritime awareness,"SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy" -239323312b22934a31f946bfa496ad9a144c2483,Multi-Level Fusion for Person Re-identification with Incomplete Marks,"National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China, Wuhan, China" 239323312b22934a31f946bfa496ad9a144c2483,Multi-Level Fusion for Person Re-identification with Incomplete Marks,"National Institute of Informatics, Japan, Tokyo, Japan" 238136fe55dbebfc6e473f6d5f52448767082c69,Semantic Reasoning in Zero Example Video Event Retrieval,TNO Netherlands 238136fe55dbebfc6e473f6d5f52448767082c69,Semantic Reasoning in Zero Example Video Event Retrieval,"TNO and Leiden University, The Netherlands" 2306aff6dea3c9d5caaae973c51cc9308c8af620,Boosting a haar-like feature set for face verification,"Fraunhofer-Institute for Integrated Circuits, Erlangen, Germany" -230cdc2047406b81539840086131f879c0647633,DLML: Deep linear mappings learning for face super-resolution with nonlocal-patch,"Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China, 430073" -230cdc2047406b81539840086131f879c0647633,DLML: Deep linear mappings learning for face super-resolution with nonlocal-patch,"School of Computer Science, China University of Geosciences, Wuhan, China 430074" 230cdc2047406b81539840086131f879c0647633,DLML: Deep linear mappings learning for face super-resolution with nonlocal-patch,"Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843" 23ee28a7b5939382a7d29361ca9ae89c424e3678,Pose-invariant vehicle identification in aerial electro-optical imagery,"National Security, Intelligence and Reconnaissance Division (NSID), Defence Science and Technology Organisation (DSTO), Edinburgh, Australia" 23a955b33156abc9879d4d310c8f5a361a5e4ff8,Towards large scale multimedia indexing: A case study on person discovery in broadcast news,"LIMSI, CNRS, Univ. Paris-Sud, Université Paris-Saclay" -23a955b33156abc9879d4d310c8f5a361a5e4ff8,Towards large scale multimedia indexing: A case study on person discovery in broadcast news,"CNRS, Irisa & Inria Rennes" 23a955b33156abc9879d4d310c8f5a361a5e4ff8,Towards large scale multimedia indexing: A case study on person discovery in broadcast news,University of Vigo 23a955b33156abc9879d4d310c8f5a361a5e4ff8,Towards large scale multimedia indexing: A case study on person discovery in broadcast news,"LIUM, University of Maine" -23c66ab737367a96f1422ce5c4ff8421709ef70d,Improved boosting algorithm through weighted k-nearest neighbors classifier,"College of Information Engineering, Jimei University, Xiamen 361021, Fujian Province, China" 231951807081451293189fbf5ea9269b59724518,Privacy Preserving Social Network Data Publication,"Department of Computer Science, Faculty of Computer Science and Information Technology, Putra University, Malaysia" -23e6517b8ed4dd2ff5dd452f25fd5dafdf905906,Scalable Multimodal Search with Distributed Indexing by Sparse Hashing,"Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologia, Monte de Caparica, Portugal" 233a21100a2728ed7fb9109495cd640ed76011ba,Robust facial expression recognition system based on hidden Markov models,"LAVETE Laboratory, FST of Hassan 1st University Settat, Settat, Morocco" 233a21100a2728ed7fb9109495cd640ed76011ba,Robust facial expression recognition system based on hidden Markov models,"LabSIE Laboratory, FPO of Ibn Zohr University, Agadir, Morocco" 233a21100a2728ed7fb9109495cd640ed76011ba,Robust facial expression recognition system based on hidden Markov models,"Département d’Informatique, Université de Moncton, Moncton, Canada" -2337b5b0212ad9b7fafd89d91016446450db64eb,Multibiometrics for face recognition,"The University of Twente, The Netherlands" 23347ef3e4d7be7d5b02e37de829bddcbfcd232f,People appearance tracing in video by spectral graph transduction,"DII - University of Modena and Reggio Emilia, Via Vignolese 905 - Italy" -233053b5962d4001adc7616c07616d1b43048a7f,Behavioral analysis and classification of spammers distributing pornographic content in social media,"Department of Computer Science and Engineering, PEC University of Technology, Chandigarh, India" -23edcd0d2011d9c0d421193af061f2eb3e155da3,Facial age estimation by using stacked feature composition and selection,"Network Center, Huizhou University, Huizhou, China" -23a8e37363ca40515c7d66ec33cfce3c8c1c7909,Enabling Users to Guide the Design of Robust Model Fitting Algorithms,"Cognitive Neuroinformatics Group, University of Bremen, Bremen, Germany" -23a8e37363ca40515c7d66ec33cfce3c8c1c7909,Enabling Users to Guide the Design of Robust Model Fitting Algorithms,"Image Understanding Group, Technische Universität München, Garching, Germany" 237a8db67c7cbf7a33a5d6b442ac89f2608e4346,Comparison of performance using Daubechies Wavelet family for facial expression recognition,"School of Mechatronic Engineering, University Malaysia Perlis (UniMAP) Main Campus, Ulu Pauh, Perlis, Malaysia" 23b6f964f3e93fcade91cac639c76136f30c3054,Robust face recognition by combining projection-based image correction and decomposed eigenface,"Dept. of Inf. Technol., Okayama Univ., Japan" 239d2cc391e51bd6c65944bb3f3b48f1f3681877,CaRINA dataset: An emerging-country urban scenario benchmark for road detection systems,"Institute of Mathmatics and Computer Science, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil" 232f21aa133b75156665175158c65b89bded4032,Multi-Human Parsing Machines,"National University of Singapore & SAP Machine Learning, Singapore, Singapore" 23860d947cf221b6ddb6d6cf3a7ac4b08c7cb8d3,The vision based mind state recognition,"Intelligent Cognitive Technology Research Department, ETRI Daejeon, Korea" -230aa8fe68068f2e64876bdf1c41d20b4923288f,Context aware model for articulated human pose estimation,"National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China" 238015b2bb185f7154d9461066b7a54c96064565,An architecture to identify violence in video surveillance system using ViF and LBP,GLA University 1535c185a01c952237ee50788b8123d503a0dd25,Non intrusive selective facial feature tracking: A fuzzy control approach,"Department of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan" -150b61a610baa6b00557acfd1464af53f5fa27ac,Multi-object tracking using TLD framework,"Vidyalankar Institute of Technology, Mumbai, India" 159b1e3c3ed0982061dae3cc8ab7d9b149a0cdb1,Weak Classifier for Density Estimation in Eye Localization and Tracking,"Department of Electronics and Computing and the Electronics and Information Technology Research & Development Center, Universidade Federal do Amazonas, Manaus-AM, CEP, Brazil" 154b9a1a4dd5a01dfb4914d4aa392ad9cf43b98d,Distinctiveness of faces: A computational approach,"Deir—University of Sassari, Sassari, Italy" 154b9a1a4dd5a01dfb4914d4aa392ad9cf43b98d,Distinctiveness of faces: A computational approach,"Dsl—University of Sassari, Italy" -154b9a1a4dd5a01dfb4914d4aa392ad9cf43b98d,Distinctiveness of faces: A computational approach,"Dap—University of Sassari, Italy" 154683bb947c48321ecec162062204b1242b51b8,A local descriptor based model with visual attention guidance for generic object detection,"School of Information and Electronics, Beijing Institute of Technology, Beijing P. R. China" -15353fef5f59296c725ead237b65cb937d270d82,First International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications,"University of Catania, Viale, Andrea Doria, Catania, IT" 15353fef5f59296c725ead237b65cb937d270d82,First International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications,"Centrum Wiskunde & Informatica, Science Park, XG Amsterdam, NL" 15acfd430b06f32d17c27be13e7a74bd0c09c0f7,Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition,"Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran" 15acfd430b06f32d17c27be13e7a74bd0c09c0f7,Optimal Local Basis: A Reinforcement Learning Approach for Face Recognition,"School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics, Tehran, Iran" @@ -3820,14 +2246,7 @@ dd887e7c94e0eb7748f3aea3c3a85cc73f94c11d,An Ada-Random Forests based grammatical 15801fafe9fe893c50e4221a486e35f3d599fe26,Advances in Crowd Analysis for Urban Applications Through Urban Event Detection,"Anglia Ruskin IT Research Institute, Anglia Ruskin University, Chelmsford, U.K." 15801fafe9fe893c50e4221a486e35f3d599fe26,Advances in Crowd Analysis for Urban Applications Through Urban Event Detection,"Department of Engineering and the Built Environment, Anglia Ruskin University, Chelmsford, U.K." 15801fafe9fe893c50e4221a486e35f3d599fe26,Advances in Crowd Analysis for Urban Applications Through Urban Event Detection,"Department of Geography, Chiang Mai University, Chiang Mai, Thailand" -15801fafe9fe893c50e4221a486e35f3d599fe26,Advances in Crowd Analysis for Urban Applications Through Urban Event Detection,"Faculty of Science and Technology, Anglia Ruskin University, Chelmsford, U.K." -15bf0e70b069cea62d87d3bf706172c4a6a7779e,Robust face recognition and classification system based on SIFT and DCP techniques in image processing,"Dept. of ECE, Mepco Schlenk Engineering College, Sivakasi, India" -15b76891eb084895db87e9fe0624810b8085cbd8,Fusion of Talking Face Biometric Modalities for Personal Identity Verification,"Centre for Vision, Speech and Signal Processing, University of Surregy, Guildford GU2 7XH, United Kingdom." -1575e8413e86570b142b6e268aa945c2514a2420,Design and implementation of robotic vision for face recognition,"Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysuru, India" -15eafc361edebe3da9ff8debaae16f487fbf17f2,Two dimensional affective state distribution of the brain under emotion stimuli,"Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, MALAYSIA" 151c342b33d9b8332c92185307f8d9dc9baa8047,Density-aware person detection and tracking in crowds,"École Normale Supérieure, France" -151c342b33d9b8332c92185307f8d9dc9baa8047,Density-aware person detection and tracking in crowds,"Imagine, LIGM, Universite Paris-Est, France" -15dc99e91da7c6cf808d9481ba4a9dfc5914bc63,Face recognition using DWT thresholding based feature extraction with laplacian-gradient masking as a pre-processing technique,"M.S. Ramaiah Institute of Technology, Bangalore, India" 158aa18c724107587bcc4137252d0ba10debf417,A randomized approach to large-scale subspace clustering,"Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA" 15180235b45506f87057f53d688729fbd9f2e291,A new method of video-surveillance data analytics for the security in camera networks,"LM2S Research Laboratory, Charles Delaunay Institute, University of Technology of Troyes, Troyes, France" 1507b1b81665b81f799b6cef530b9fbac2ee3685,Human body motion parameters capturing using kinect,"Department of Applied Informatics and Multimedia, Asia University, Tai-Chung, Taiwan" @@ -3836,15 +2255,10 @@ dd887e7c94e0eb7748f3aea3c3a85cc73f94c11d,An Ada-Random Forests based grammatical 15cb6e29d47189dfe8277d1b67908e5e47ceade3,Fusion of Deep Convolutional Neural Networks,"Air Force Research Lab, Rome, NY" 156db35e45030aa590625a3188c8784306d3453a,DyScale: A MapReduce Job Scheduler for Heterogeneous Multicore Processors,"Department of Computer Science, College of William and Mary, Williamsburg, VA" 156db35e45030aa590625a3188c8784306d3453a,DyScale: A MapReduce Job Scheduler for Heterogeneous Multicore Processors,"Hewlett-Packard Labs, Palo Alto, CA" -1548fdfe07c1e7d93389e1226257ce5499f304e8,A super-resolution based method to synthesize visual images from near infrared,"College of Information Engineering, North China University of Technology, Beijing, China" 158d2c07561d55b7eb11fd12ccdc783fae513175,Sparse representation classification with manifold constraints transfer,"Istituto Italiano di Tecnologia (IIT), Pattern Analysis and Computer Vision (PAVIS), Via Morego 30, 16136 Genova, Italy" 1560fc1817f2bdf1b54dfb9672a9f509b5d1f6d3,Sparsity Driven People Localization with a Heterogeneous Network of Cameras,"Signal Processing Lab, EPFL, Lausanne, Switzerland" 1560fc1817f2bdf1b54dfb9672a9f509b5d1f6d3,Sparsity Driven People Localization with a Heterogeneous Network of Cameras,"Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), University of Louvain, Louvain-la-Neuve, Belgium" -1560fc1817f2bdf1b54dfb9672a9f509b5d1f6d3,Sparsity Driven People Localization with a Heterogeneous Network of Cameras,"Centre de Physiques des Particules de Marseille, Aix-Marseille Université, CNRS/IN2P3, Marseilles, France" 1599718bf756a0fb7157277b93f21cfcad04e383,Facial expression recognition using geometric features,"Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey" -1521c815e67572f3a90e44b67675b599bacdb687,Occlusion-robust 3D face recognition using restoration and local classifiers,"Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, Türkiye" -1521c815e67572f3a90e44b67675b599bacdb687,Occlusion-robust 3D face recognition using restoration and local classifiers,"Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda, Turkey" -15f85fe1d930bde435c2e04372e27e8c8c4ba19a,Semi-automatic annotation of distorted image based on neighborhood rough set,"College of Computer Science and Technology Wuhan University of Science and Technology, Wuhan, China" 8e88a651e7bc9d200fcd7af0ca93690e0929f469,Efficient graph based spatial face context representation and matching,"Google Inc., USA" 8e42fc867827a10aad2f425fdd06d83d6462a3a6,Methylphenidate alters selective attention by amplifying salience,"Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, Netherlands" 8e42fc867827a10aad2f425fdd06d83d6462a3a6,Methylphenidate alters selective attention by amplifying salience,"Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands" @@ -3853,18 +2267,13 @@ dd887e7c94e0eb7748f3aea3c3a85cc73f94c11d,An Ada-Random Forests based grammatical 8e42fc867827a10aad2f425fdd06d83d6462a3a6,Methylphenidate alters selective attention by amplifying salience,"Department of Neurology, University of California, San Francisco, San Francisco, USA" 8e42fc867827a10aad2f425fdd06d83d6462a3a6,Methylphenidate alters selective attention by amplifying salience,"Department of Physiology, University of California, San Francisco, San Francisco, USA" 8e42fc867827a10aad2f425fdd06d83d6462a3a6,Methylphenidate alters selective attention by amplifying salience,"Department of Psychiatry, University of California, San Francisco, San Francisco, USA" -8e2bd1192b60cdb75c99234ccbd50ca920a47d00,Joint Rate-Distortion Optimization for Simultaneous Texture and Deep Feature Compression of Facial Images,"Institute of Digital Media Peking University, Beijing, China" 8e7886d42fac00d0b2ab3b0ea7bbb449dcc6b690,Online Camera LiDAR Fusion and Object Detection on Hybrid Data for Autonomous Driving,BMW Group Technology Office 8e46ad44e47d323c8cbede0fb9bad5614369a43d,Impaired social cognition in violent offenders: perceptual deficit or cognitive bias?,"LEAD Graduate School and Research Network, University of Tübingen, Tübingen, Germany" 8e9288e4619ee50631b68cf248eb56f4fc97a5e8,Deep discovery of facial motions using a shallow embedding layer,"Speech, Audio, Image and Video Technology (SAIVT) Laboratory Queensland University of Technology, Australia" -8e6e1861ac3e130f3e5ba97d9c6ab21355b3a55f,Evaluating the effort involved in relevance assessments for images,"Glasgow Caledonian University, Glasgow, United Kingdom" 8e3e61d1b14360bdf7a5c51b3be77bfc9a4823e1,Initial response time measurement in eye movement for dementia screening test,NAIST 8e29884d4a0a1a53412e115e43f1b1cefe3bbc34,Deep generic features and SVM for facial expression recognition,"Faculty of Information Technology, University of Science - VNUHCM, Ho Chi Minh city, Vietnam" -8eb4901485cc168be9d42c38200e9ceca6e52170,A novel approach for face detection using hybrid skin color model,"Department of Computer Science and Engineering, Malaviya National Institute of Technology, Jaipur, India" 8e290eb707a39603ef2862ead218a3ebc4e9d687,Full angle coverage in visual sensor networks,"Computer Engineering Dept., Amirkabir University, Tehran, Iran" -8e34eb3f9f9bd7ba44f46b7e622ed083497768d0,Robust facial features tracking using geometric constraints and relaxation,"Université Jean Monnet, Laboratoire Hubert Curien - UMR CNRS 5516, 18 rue du Professeur B. Lauras, 42000 Saint-Etienne, France" 8e34eb3f9f9bd7ba44f46b7e622ed083497768d0,Robust facial features tracking using geometric constraints and relaxation,"LGI2P, Ecole des Mines Ales, Parc Scientifique Georges Besse, 30035 Nimes cedex 1, France" -8e74ec37f1fa24eb9f112c0ed7b6d2c6f20383c3,Comparison of face matching techniques under pose variation,"Philips Research Eindhoven Storage Systems and Applications Eindhoven, Netherlands" 8edc48e7a110f176ca08c26c0085c4dbb4146c5b,Facial expression recognition using histogram of oriented gradients based transformed features,"Digital Image Processing Laboratory, Department of Computer Science, Islamia College, Peshawar, Pakistan" 8edc48e7a110f176ca08c26c0085c4dbb4146c5b,Facial expression recognition using histogram of oriented gradients based transformed features,"Department of Computer Science and Engineering, HITEC University, Taxila, Pakistan" 8e620959ff7aa5feec25e63427e2bb01d7197def,Improvement of inertial sensor based indoor navigation by video content analysis,"Institute for Building Informatics, Graz University of Technology (TU Graz), Graz, Austria" @@ -3873,62 +2282,31 @@ dd887e7c94e0eb7748f3aea3c3a85cc73f94c11d,An Ada-Random Forests based grammatical 1db9e85f9bcbf14ff6174889985eb3db4cb0c132,When to use what data set for your self-driving car algorithm: An overview of publicly available driving datasets,"Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden" 1d1ffd3a372e9470c43ff785436165940276212b,Novel local features with hybrid sampling technique for image retrieval,"Robert Gordon University, Aberdeen, United Kingdom" 1d1ffd3a372e9470c43ff785436165940276212b,Novel local features with hybrid sampling technique for image retrieval,"Aberdeen University, Aberdeen, United Kingdom" -1d7e65d6cef7604ce96e9780c664ef633adb2801,Regularized Large Margin Classifier,"Yangzhou University, China; Nanjing University of Science and Technology, China" -1d7e65d6cef7604ce96e9780c664ef633adb2801,Regularized Large Margin Classifier,"Yangzhou University, China" 1dcd975b657b444a64fa44986ad5757e5377c0b4,Mid-level feature set for specific event and anomaly detection in crowded scenes,"Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain" -1d58593a61f887e2ea367a5f59dade2493ae0b44,Gait recognition using gait Gaussian image,"Netaji Subhas Inst. of Technology, New Delhi, India" -1d22fa7f7ebc6cd8432748644f4a11930ffdfaf9,Image Segmentation Stability: An Empirical Investigation,"School of Computing, University of South Alabama" 1d3ad3f3a4336b51d3858cf8e05b3bb99730a16e,Correlation Analysis-Based Classification of Human Activity Time Series,"Department of Electrical Engineering, University of Texas, Arlington, TX, USA" -1ddd4a651389b411c2bd847146143577cfca02c9,Contextual Distance for Data Perception,"Visual Computing Group, Microsoft Research Asia, Beijing, China. i-dezhao@microsoft.com" 1ddd4a651389b411c2bd847146143577cfca02c9,Contextual Distance for Data Perception,"Visual Computing Group, Microsoft Research Asia, Beijing, China. zhoulin@microsoft.com" -1ddd4a651389b411c2bd847146143577cfca02c9,Contextual Distance for Data Perception,"Visual Computing Group, Microsoft Research Asia, Beijing, China. xitang@microsoft.com" 1dba153b743d0d1534e3711217498942159e7db1,Pedestrian path prediction using body language traits,"Computer Engineering Department. University of Alcalá, Alcalá de Henares, Spain" 1dba153b743d0d1534e3711217498942159e7db1,Pedestrian path prediction using body language traits,"Department of Mechanical Engineering. University of Aveiro, Aveiro, Portugal" -1db45038ff49e4220a56b17a3b255df1c97b32c1,3D face reconstruction with global and local constraints in double spaces,"Shenzhen Wave Group Suzhou R&D center, Suzhou, China" 1d05bb320ca36cfa062ef8ff76590b9ae3acca58,Towards autonomous detection and tracking of electric towers for aerial power line inspection,"Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain" 1d351a4a61d55c982061195f46bc93fbc390fdc4,Robust feature descriptor and vehicle motion model with tracking-by-detection for active safety,"National Traffic Safety and Environment Laboratory, Chofu, Tokyo, Japan" -1de23d7fe718d9fab0159f58f422099e44ad3f0a,Locality Preserving Collaborative Representation for Face Recognition,"Department of Computer Science and Application, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, China" 1dc0756f1a58d0ae8beff58d7ddf8fd5dc6d174e,Nearest neighbor weighted average customization for modeling faces,"Pattern Recognition and Machine Intelligence Laboratory, IŞIK University, Şile, Turkey" 1dc0756f1a58d0ae8beff58d7ddf8fd5dc6d174e,Nearest neighbor weighted average customization for modeling faces,"Computer Science and Engineering Department, IŞIK University, Şile, Turkey" -1d8a522bbfddfe86951ea7605c7df058b2c2e1b0,Video tracking through occlusions by fast audio source localisation,"Joint Research Institute for Signal and Image Processing, Heriot-Watt University & University of Edinburgh, UK" -1dcccd889562daec06fee30829c61a4b5a386cc2,Face occlusion detection based on multi-task convolution neural network,"Department of Computer Science & Software Eng., Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China" 1d6faea849d6d05bb74f84622302976a2305a17f,DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices,"School of Engineering and Computing, University of the West of Scotland, Paisley, U.K." 1d7a3f91f2496e0d1c9580c3d22ba209e29db960,A Novel Confidence Measure for Disparity Maps by Pixel-Wise Cost Function Analysis,"Department Moving Picture Technologies, Fraunhofer IIS, Erlangen, Germany" 1d7a3f91f2496e0d1c9580c3d22ba209e29db960,A Novel Confidence Measure for Disparity Maps by Pixel-Wise Cost Function Analysis,"Department of Computer Science, Kiel University, Germany" -1dea8b1bba7f12575049d92631706b5999d6899d,Attribute based image retrieval and hypergraph learning based image search reranking,"Department of Computer Engineering, G. H. Raisoni Collage of Engg and Technology, Pune, India" -1ddf7ec443393b23992aaa01546d124d8b7c62dd,A Face Annotation Framework with Partial Clustering and Interactive Labeling,"Shanghai Jiaotong University, China. tydsh@sjtu.edu.cn" 1ddf7ec443393b23992aaa01546d124d8b7c62dd,A Face Annotation Framework with Partial Clustering and Interactive Labeling,The Chinese University of Hong Kong. wliu5@ie.cuhk.edu.hk -1ddf7ec443393b23992aaa01546d124d8b7c62dd,A Face Annotation Framework with Partial Clustering and Interactive Labeling,"Microsoft Research Asia, Beijing, China. rxiao@microsoft.com" 1ddf7ec443393b23992aaa01546d124d8b7c62dd,A Face Annotation Framework with Partial Clustering and Interactive Labeling,"Microsoft Research Asia, Beijing, China. fangwen@microsoft.com" 1ddf7ec443393b23992aaa01546d124d8b7c62dd,A Face Annotation Framework with Partial Clustering and Interactive Labeling,"Microsoft Research Asia, Beijing, China. xitang@microsoft.com" -1dfe045db68f9c656d98ac85f7fa31851125f1d9,Crowd count in low resolution surveillance video using head detector and color based segementation for disaster management,"Thiagarajar College of Engineering, Madurai, TN 625015 India" 1dfe045db68f9c656d98ac85f7fa31851125f1d9,Crowd count in low resolution surveillance video using head detector and color based segementation for disaster management,"Electronics and Communication Engineering Department, Thiagarajar College of Engineering, Madurai, TN 625015 India" -1d122efc1469e96d71497f0931f502fa47ae344d,Have We Met Before? Using Consumer-Grade Brain-Computer Interfaces to Detect Unaware Facial Recognition,"University of Ontario Institute of Technology, Simcoe St N, Canada" -1da5fc63d66fbf750b0e15c5ef6d4274ca73cca1,Research on face recognition method based on deep learning in natural environment,"Digital Performance and Simulation Key Laboratory, School of Software, Beijing Institute of Technology, Beijing 100081, China" -1da5fc63d66fbf750b0e15c5ef6d4274ca73cca1,Research on face recognition method based on deep learning in natural environment,"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjing University), Fuzhou, 350121, China" -1da5fc63d66fbf750b0e15c5ef6d4274ca73cca1,Research on face recognition method based on deep learning in natural environment,"Innovative Information Industry Research Institute, Fujian Normal University, Fuzhou, 350300, China" -1da87be8bf6b337076f1cf49629a5974a2f71439,Keep moving!: revisiting thumbnails for mobile video retrieval,"Utrecht University, Utrecht, Netherlands" 1d7dde30b8d0f75576f4a23b75b8350071fd4839,Nonlinear analysis of video images using deep recurrent auto-associative neural networks for facial understanding,"Department of biomedical engineering, Amirkabir University of technology (Tehran Polytechnic), Tehran, Iran" -1d8b85d7fadc62099eb15c4462379b2167538a7a,Multi-feature based automatic face identification on kernel eigen spaces (KES) under unstable lighting conditions,"CSE, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India" -1d8b85d7fadc62099eb15c4462379b2167538a7a,Multi-feature based automatic face identification on kernel eigen spaces (KES) under unstable lighting conditions,"CSE, Park College of Engineering and Technology, Kaniyur, Coimbatore, Tamilnadu, India" 8deafdefcc338264ad8ae3657d5246f056370552,Vision-aided inertial navigation using three-view geometry,"School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, United Kingdom" -8dccec5593788fd114ef4a4ebd953af80a26c3a9,Person re-identification by using a method combining DPM and SVM,"Chengdu Productivity Promotion Center, Chengdu 610000, China" -8db60e5196657c4f6188ffee3d2a48d188014f6d,Realtime multi-aircraft tracking in aerial scene with deep orientation network,"Military Technical College, Cairo, Egypt" -8d6c0487f7b358a6167007eca96911d15e7cf186,Multichannel-Sniffing-System for Real-World Analysing of Wi-Fi-Packets,"University of Applied Sciences Erfurt, Applied Computer Science, Erfurtn, Germany" 8d39eda4a3d8bca380bf3293fcb9c034a6abdb7f,Inserting virtual pedestrians into pedestrian groups video with behavior consistency,"Mimetic team, INRIA Rennes, Rennes, France" -8d0bc14589dea1f4f88914ffcb57a5c54830f2cc,Computer Vision -- ACCV 2014,"Technische Universität München, Garching, Germany" 8d0bc14589dea1f4f88914ffcb57a5c54830f2cc,Computer Vision -- ACCV 2014,"University of California at Merced, Merced, USA" 8d6996b6c683df258ce5759e161fba79103a7c13,ROS2D: Image feature detector using rank order statistics,"Mitsubishi Electric Research Labs (MERL), Cambridge, MA 02139, USA" -8d203fba8a43e58703618cac3b5147c92f5919d7,Real-Time vehicle detection and tracking using deep neural networks,"State Grid Inner Shizuishan Power Supply Company, Shizuishan, 753000, China" -8d01119f663d667edb8cbc360340a4ee1a20043b,Scale-adaptive visual tracking with occlusion detection,"College of Command Information Systems, PLA University of Science and Technology, Nanjing, China" -8d34ab23d6770a6caebc2be79881481dbf7c64d3,Seeds-Based Part Segmentation by Seeds Propagation and Region Convexity Decomposition,"Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China" 8d7451f5c5849cb0397c3ec8cd7e2081b5d9421d,Multi-target & multi-detector people tracker for mobile robots,"Beta Robots, Barcelona, Catalunya, Spain" 8d7451f5c5849cb0397c3ec8cd7e2081b5d9421d,Multi-target & multi-detector people tracker for mobile robots,"PAL Robotics, Barcelona, Catalunya, Spain" -8d6d50879a7633eca05c8d74a0e586f1f2892e83,TCU: Thread compaction unit for GPGPU applications on mobile graphics hardware,"Institute for Information Industry, Smart Network & System Institute 7F, No. 133, Sec. 4, Minsheng E. Rd., Taipei 105, Taiwan, R.O.C." 8ddc725db47560b2bda227226dd792f30abf9dac,Lane-level positioning with sparse visual cues,"General Motors Advanced Technical Center, Israel" -8d226c762f60a43c92d66db65952eedf19777ab2,A methodological approach for combining super-resolution and pattern-recognition to image identification,"Institute of Structure of Matter, National Research Council, Rome, Italy" 8d226c762f60a43c92d66db65952eedf19777ab2,A methodological approach for combining super-resolution and pattern-recognition to image identification,"Institute of Information Science and Technologies, National Research Council, Pisa, Italy" -8de7da01bf4c2643f36dae4a8d2fa04906daff02,An enhanced triplet CNN based on body parts for person re-identificacion,"Universidad Católica San Pablo, Arequipa, Perú" 8de7da01bf4c2643f36dae4a8d2fa04906daff02,An enhanced triplet CNN based on body parts for person re-identificacion,"Computer Science Department, Federal University of Ouro Preto (UFOP), Ouro Preto, Minas Gerais, Brazil" 8de7da01bf4c2643f36dae4a8d2fa04906daff02,An enhanced triplet CNN based on body parts for person re-identificacion,"Universidad Nacional de San Agustín, Arequipa, Perú" 8d07e8bb63d489e6b60b187b679670cef24f9bee,Local Alignments for Fine-Grained Categorization," KU Leuven, ESAT PSI, iMinds, Leuven, Belgium" @@ -3937,42 +2315,27 @@ dd887e7c94e0eb7748f3aea3c3a85cc73f94c11d,An Ada-Random Forests based grammatical 8d66f4204e625d078d72760752505dc7f34f6b99,FPGA implementation of object recognition processor for HDTV resolution video using sparse FIND feature,"Toyota Central R&D Lab., Inc., Nagakute, 480-1192 Japan" 9eea052864e3f034b5f4b744fccedb90e18aa284,Temporally Consistent Road Surface Profile Estimation Using Stereo Vision,"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea" 9e5690cdb4dfa30d98dff653be459e1c270cde7f,Multiple path search for action tube detection in videos,Department of Electronic and Computer Engineering National Taiwan University of Science and Technology -9ec8800def01100d2db0ca5ad98993bdb6f682e9,Recognition of partially occluded face using Gradientface and Local Binary Patterns,"Center of Informatics - CIn, Federal University of Pernambuco - UFPE, Recife, Brazil" -9e89c9e40ffd1848da10a2944edf4f7c72ef15fb,Face Recognition Using A Radial Basis Function Classifier,"E. U. P. Mataró, Avda. Puig Cadafalch 101, 08303 MATARO, SPAIN" -9e89c9e40ffd1848da10a2944edf4f7c72ef15fb,Face Recognition Using A Radial Basis Function Classifier,"TALP-UPC, Jordi Girona 1, 08034 BARCELONA, SPAIN" 9e60614fd57afe381ae42c6ee0b18f32f60bb493,Attribute constrained subspace learning,"Institute for Human-Machine Communication, Technische Universität München, Germany" 9e60614fd57afe381ae42c6ee0b18f32f60bb493,Attribute constrained subspace learning,"Dept. of Artificial Intelligence, Faculty of Computer Engineering, University of Isfahan, Iran" 9eb1127548e0cf842c3c31cb64894ec2a2887e90,Real-time vehicle back-up warning system with a single camera,"Intel Corp., 4600 S. Dobson Road, Chandler, AZ 85248" -9e154dbb24f5701921870f5dbd5609182e2e9bc2,Learning from evolving video streams in a multi-camera scenario,"INESC TEC, Campus da FEUP, Rua Dr. Roberto Frias, Porto, Portugal" 9e154dbb24f5701921870f5dbd5609182e2e9bc2,Learning from evolving video streams in a multi-camera scenario,"Faculdade de Engenharia da Universidade do Porto (FEUP), Campus da FEUP, Porto, Portugal" 9eaa967d19fc66010b7ade7d94eaf7971a1957f3,Segmentation-based illumination normalization for face detection,"Department of Information Processing Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology Yokohama 226-8503, Japan" -9ea4aa41fa9e6d19e00bf612699fbc13ba4be576,Introducing a new multimodal database from twins' biometric traits,"School of Computing, University of Eastern Finland, Joensuu, Finland" 9ea4aa41fa9e6d19e00bf612699fbc13ba4be576,Introducing a new multimodal database from twins' biometric traits,"Department of Electrical Engineering Amirkabir University of Technology, Tehran, Iran" -9e02aae0d83a84f05a4fad4b8dcb0d664b01b12d,Smart video access control system with hybrid features in complicated environment,"College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China" 9e5809122c0880183c7e42c7edd997f92de6d81e,Eye corner detector robust to shape and illumination changes,"Fujitsu Laboratories, Kawasaki, Kanagawa, Japan" 9e79b3deb36a14483609fb775277c1c9f3fc5944,Multi-attribute robust facial feature localization,"Bo¿gaziçi University, Electrical & Electronic Engineering Department, 34342 Bebek, Istanbul, Turkey" 9ecd0f6bf02bbaf43a9b186c633d04263049ab6f,Combining multiple visual processing streams for locating and classifying objects in video,"Los Alamos National Laboratory, New Mexico, USA" -9ecd0f6bf02bbaf43a9b186c633d04263049ab6f,Combining multiple visual processing streams for locating and classifying objects in video,"New Mexico Consortium, Los Alamos, USA" 9e3fe7f7c125ad60fc1018bd515c6eb4a9e76f2e,Affordance-feasible planning with manipulator wrench spaces,"Georgia Tech Research Institute, USA" 9e3fe7f7c125ad60fc1018bd515c6eb4a9e76f2e,Affordance-feasible planning with manipulator wrench spaces,"Faculty of Engineering, Washington University St. Louis, USA" 9e3fe7f7c125ad60fc1018bd515c6eb4a9e76f2e,Affordance-feasible planning with manipulator wrench spaces,"Georgia Tech Institute for Robotics and Intelligent Machines, USA" 9e2ab407ff36f3b793d78d9118ea25622f4b7434,Local generic representation for patch uLBP-based face recognition with single training sample per subject,"SITI Laboratory, National Engineering School of Tunis (ENIT), University of Tunis El Manar, Tunis, Tunisia" -9e889034999221e37da9f72bbb60383712fe7806,Detection of violent crowd behavior based on statistical characteristics of the optical flow,"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China" -9e889034999221e37da9f72bbb60383712fe7806,Detection of violent crowd behavior based on statistical characteristics of the optical flow,"School of Science, Jimei University, Xiamen, Fujian 361021, China" 9e99f818b37d44ec6aac345fb2c5356d83d511c7,Sift-flow registration for facial expression analysis using Gabor wavelets,"University of Montreal, Department of Computer Science and Operations Research (DIRO), 2920 Chemin de la tour, QC, Canada, H3C 3J7" 9ea0785c52b24a9a18a8d415d4f0fc3af9bc622a,Texture Classification Using Dominant Neighborhood Structure,"Department of Computer Science, Prince Sultan University, Riyadh, Saudi Arabia" -9e10ea753b9767aa2f91dafe8545cd6f44befd7f,Learning discriminative local binary patterns for face recognition,"Department of Computer Science, Pontificia Universidad Cato´lica de Chile" -9e7f7e273be2ebfccbf43e20d2683368ebd7e5fa,Computer vision based gaze tracking for accident prevention,"Dept of Information Technology, Panimalar Institute of Technology" -9e64582b644481a734b018304a22b536886ed024,ALFA: Agglomerative Late Fusion Algorithm for Object Detection,"Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia" 9e644b1e33dd9367be167eb9d832174004840400,Tracking Social Groups Within and Across Cameras,"Department of Engineering, University of Modena, Modena, Italy" 9ed76667357681d4c3fb2ec7bcedf566d634d50a,Facial feature selection for gender recognition based on random decision forests,"Vistek ISRA Vision, Boğaziçi Üniversitesi, İstanbul, Türkiye" 9ec2fc7df2db247a55a1af4fcb85710b25402ec1,Data fusion of radar and stereo vision for detection and tracking of moving objects,"Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa" 4f3fe60e2c806505ce1122973a53da721a543d28,A spatio-temporal wavelet-based descriptor for dynamic 3D facial expression retrieval and recognition,"IDI, Norwegian University of Science and Technology (NTNU), Trondheim, Norway" 4f8b8a1f454eef624f1aed78bc4b60ee39b7b0ae,Towards automated visual surveillance using gait for identity recognition and tracking across multiple non-intersecting cameras,"Department of Electrical Engineering, University of Souk-Ahras, Souk-Ahras, Algeria" -4f456675b4dd1711285aa488af232c5a5099e85f,Line Feature Based Extrinsic Calibration of LiDAR and Camera,"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shannxi, P.R.China" 4f3ed8752966639eeb423f00ddb5480f6f27ad2e,Optimizing neural-network learning rate by using a genetic algorithm with per-epoch mutations,"Media Research Department, Center for Technology Innovation - System Engineering, Hitachi, Ltd., 1-280 Higashi-koigakubo, Kokubunji, Tokyo 185-8601, Japan" -4f77672c57a4fe2d925aea61cc54ba48220816a6,MKL-SVM-based human detection for autonomous navigation of a robot,"Research & Technology Center, North American Robot Bosch LLC, 2835 East Carson Street Suite 210, Pittsburgh, 15203, USA" -4ffc1e005990ce708f7e8191bcf14971b2d26e2e,Naïve Bayesian classifier for human shape recognition,"Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, Malaysia" 4fc90013e4e2297f33a86db106843917c824d6b9,Visual object tracking—classical and contemporary approaches,"Department of Computer and Information Sciences, Pakistan Institute of Engineering & Applied Sciences, Islamabad, Pakistan" 4fc90013e4e2297f33a86db106843917c824d6b9,Visual object tracking—classical and contemporary approaches,"Department of Electrical (Telecom) Engineering, NUST Military College of Signals, Islamabad, Pakistan" 4f44e4c6470225566d7c94105e06eadb239e20bb,A comparative view on exemplar ‘tracking-by-detection’ approaches,"CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France" @@ -3981,71 +2344,41 @@ dd887e7c94e0eb7748f3aea3c3a85cc73f94c11d,An Ada-Random Forests based grammatical 4f03ba35440436cfa06a2ed2a571fea01cb36598,The extended collaborative representation-based classification,"School of Big Data and Computer, Science, Guizhou Normal University, Guiyang, Guizhou, 550025, P. R. China" 4f0e82a326e9ff158a5092ba6206877cf961e19c,Facial age estimation and gender classification using multi level local phase quantization,"Laboratory of LESIA, University of Biskra, Algeria" 4f0e82a326e9ff158a5092ba6206877cf961e19c,Facial age estimation and gender classification using multi level local phase quantization,"Laboratory of LAGE, University of Ouargla, Algeria" -4f0e82a326e9ff158a5092ba6206877cf961e19c,Facial age estimation and gender classification using multi level local phase quantization,"LAMIH, UMR CNRS 8201 UVHC, University of Valenciennes, France" 4fb70690308d7322f63508b13e491edd52c1486c,LPSM: Fitting shape model by linear programming,"Visualization and Computer Vision Lab, General Electric, 1 Research Circle, Niskayuna, NY, USA" -4f99e35e40a2608a7b37d2028c05216974d677ad,Multi-sensor concert recording dataset including professional and user-generated content,"JOANNEUM RESEARCH, Graz, Austria" -4f51c4444a71fd13c4b8062a8835cc1241e7115a,A fusion method for robust face tracking,"Heilongjiang Bayi Agricultural University, Heilongjiang, China" 4fc7a540efb24bea338f82c8bdc64c214744a3de,Object-based tag propagation for semi-automatic annotation of images,"Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland" -4fff3f15b48e8e46280798df387d3dacd193fa1d,Large scale sign detection using HOG feature variants,"NICTA, Locked Bag 8001, Canberra, Australia" 4f00a48a60cbf750b4ccbd698d5547d83b3eaf3f,Cubic norm and kernel-based bi-directional PCA: toward age-aware facial kinship verification,"Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran" 4f3f116cc0f19bc70242d1ec9eac942c35c168ba,An evaluation of boosted features for vehicle detection,"OMRON Social Solutions Co., LTD, Kyoto 619-0283, Japan" -4f7b5130d0356ada11f34bf469b2a9c6a00a5e6b,Online multi-target tracking using non-linear motion estimation,"Department of Electrical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea" 4f182750ff26f68d284a416b2fcfc5c53c8e9c24,Robust online multi-object tracking based on KCF trackers and reassignment,"The University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information" c4e2d5ebfebbb9dcee6a9866c3d6290481496df5,Adaptive linear discriminant analysis for online feature extraction,"Queen’s University, Kingston, Canada" c4cd19cf41a2f5cd543d81b94afe6cc42785920a,Training a convolutional neural network for multi-class object detection using solely virtual world data,"Communication System Group, Technische Universität Berlin, Einsteinufer 17, 10587, Germany" -c4d7c6f4b294e26e619b5ea5c90b4f9136a466e5,Discriminative transform of receptive field patterns for feature representation,"School of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan, China" -c4d7c6f4b294e26e619b5ea5c90b4f9136a466e5,Discriminative transform of receptive field patterns for feature representation,"JiangSu University of Science and Technogly, Zhenjiang, China" -c463b431a503f4eab370f1938e8104c2eaac6e32,A novel face recognition method based on the local color vector binary patterns of features localization,"Beijing University of Civil Engineering and Architecture, Beijing, China" c4ee54f69de0b5b87e00c270c2ab4229da0720eb,Real-time people counting from depth imagery of crowded environments,"Computer Vision Center, Barcelona" -c4b937a68c068e9d70548b7dc2cf5527aff16924,High-Resolution Face Fusion for Gender Conversion,"Graduate University of the Chinese Academy of Sciences, Beijing, China" c4f628e04b5dae3d0c949d08b884497bce2925fe,Path Modeling and Retrieval in Distributed Video Surveillance Databases,"Chemical, Managerial, Computer and Mechanics Engineering Department, DICGIM, University of Palermo, Italy" c452a759042233ce3658bc734bf48535660f77ca,CARTS: Constraint-based analytics from real-time system monitoring,"Department of Electrical, Computer and Software Engineering, University of Ontario, Institute of Technology, Canada" c4c1fb882ae8b48c461e1f7c359ea3ea15da29fa,Gender classification using bayesian classifier with local binary patch features,"Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan, R.O.C." c46b13736b11c504957a4b2fc030e168439bcbca,Learning-based human detection using difference image in visual surveillance,"Department of Automotive Engineering, Seoul National University of Technology, Seoul, Korea" c46b13736b11c504957a4b2fc030e168439bcbca,Learning-based human detection using difference image in visual surveillance,"School of Mechanical Engineering, Pusan National University, Pusan, Korea" c46b13736b11c504957a4b2fc030e168439bcbca,Learning-based human detection using difference image in visual surveillance,"Department of Information Technology, Hansei University, Kyonggi, Korea" -c4a2da0fdd20bea8301c7ff872444e00672e2de0,Uncorrelated multiview discriminant locality preserving projection analysis for multiview facial expression recognition,"Indian Institute of Technology Guwahati, Guwahati, India" c4943c2c7334f3a1e7ee380de65d6903803685ff,Sparse representation and convolutional neural networks for 3D human pose estimation,"Electrical and Computer Engineering Department, Semnan University Semnan, Iran" c4330fabc238fa114f0b8e7b1c099e6565026cdf,Adaptive Context-Aware Filter Fusion for Face Recognition on Bad Illumination,"Intelligent Technology Laboratory, Dept. of Computer Science & Engineering, Inha University, Incheon, Korea" -c419b3c1ff156a0e8262f8f43a4118fde57ae37f,Attributes-oriented clothing description and retrieval with multi-task convolutional neural network,"Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China" -c49113c602ae75277c07f47cf166083515574681,Brain tumor detection and classification in MRI images using image and data mining,"Department of Information Technology, UITRGPV, BHOPAL, India" -c49113c602ae75277c07f47cf166083515574681,Brain tumor detection and classification in MRI images using image and data mining,"Department of IT, UIT RGPV, BHOPAL, India" c4f4714d6815e2d1c56304d46c630293a1f70033,A face image hashing method based on optimal linear transform under colored Gaussian noise assumption,"TUBITAK BILGEM (TUBITAK Centre of Research for Advanced Technologies of Informatics and Information Security), Turkey" -c4abbd51777785234d5b77734a281d50d2606441,Robust affine registration based on corner point guided ICP algorithm,"Air Force Engineering University, Xi'an, China" c47bd9f6eb255da525dbcdfc111609c90bc4d2ae,An optimization of the K-Nearest Neighbor using Dynamic Time Warping as a measurement similarity for facial expressions recognition,"LRIT, CNRST (URAC29), Mohammed V University of Rabat, Morocco" c47bd9f6eb255da525dbcdfc111609c90bc4d2ae,An optimization of the K-Nearest Neighbor using Dynamic Time Warping as a measurement similarity for facial expressions recognition,"IRDA Group, ADMIR Laboratory, Rabat IT Center, ENSIAS, CNRST (URAC29), Mohammed V University of Rabat, Morocco" -c458e611c0606771b508c1a8bee4435e02ef0eec,A simple but effective appearance-based gaze estimation method from massive synthetic eye images,"Information Science and Technology College, Dalian Maritime University, Dalian 116026, China" c4cb04972f42ae2bdf26cff0c84959dc0b5178f1,The other-race effect for face perception: an event-related potential study,"Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany" c4d4498189f147ea1559b5cf097fdbccebc4dceb,Incomplete 3D motion trajectory segmentation and 2D-to-3D label transfer for dynamic scene analysis,"Le2i, FRE CNRS 2005, Arts et Métiers, Université Bourgogne Franche-Comté, France" c459014131cbcd85f5bd5c0a89115b5cc1512be9,Face recognition in the presence of expression and/or illumination variation,"Inf. Syst. Dept., Buckingham Univ., UK" 5150f982e12bedb4f3e4041bff579233a8164f64,Real-time pedestrian recognition at night based on far infrared image sensor,"Hyundai Motor Company, Gyeonggi-do in South Korea" -5136344faad16d313ddb47927ca8fd080acd6b70,Human Pose Estimation Based on Deep Neural Network,"Institute of Smart City Shanghai University, School of Communication and Information Engineering, Shanghai, China" -51fa0924576680490fab445bea7b8f4a649d8161,Fusing semantic labeled camera images and 3D LiDAR data for the detection of urban curbs,"Computer Science Department, Technical University of Cluj-Napoca" -514391e5da6521d46fe1d219d3d4872925ac93c4,Gpu architecture for stationary multisensor pedestrian detection at smart intersections,"University of Applied Sciences Aschaffenburg, Germany" 514391e5da6521d46fe1d219d3d4872925ac93c4,Gpu architecture for stationary multisensor pedestrian detection at smart intersections,"SICK AG, Hamburg, Germany" 51f311f724883218bcc511b0403b9a7745b9d40e,Biometrics-based identifiers for digital identity management,"Intel Corporation, Santa Clara, CA" -51082f012c050dd8fa872962f93c5407a94f6daa,Ensembles of large margin nearest neighbour with grouped lateral patch arrangement for face classification,"Faculty of Electrical Engineering, University Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia" 51082f012c050dd8fa872962f93c5407a94f6daa,Ensembles of large margin nearest neighbour with grouped lateral patch arrangement for face classification,"Department of Mechatronics Engineering, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia" 516f784f145390e22cb4607cb525175ff4c7109b,Prototype-Based Modeling for Facial Expression Analysis,"Department of Computer and Operations Research, University of Montreal, Montreal, Canada" -51898d1039979363ee7eb97cbe3c02dc7d52f024,Pedestrian near-miss analysis on vehicle-mounted driving recorders,"National Institute of Advance Industrial Science and Technology, Tsukuba City, Ibaraki, Japan" 519b5b120a76499ec769fb6f8e5e6633aa5f23b9,2D-3D camera fusion for visual odometry in outdoor environments,"Le2i UMR 6306, CNRS, University of Burgundy, France" 519b5b120a76499ec769fb6f8e5e6633aa5f23b9,2D-3D camera fusion for visual odometry in outdoor environments,"ICube UMR 7357, CNRS, University of Strasbourg, France" -519b5b120a76499ec769fb6f8e5e6633aa5f23b9,2D-3D camera fusion for visual odometry in outdoor environments,"LITIS EA 4108, University of Rouen, France" -519b5b120a76499ec769fb6f8e5e6633aa5f23b9,2D-3D camera fusion for visual odometry in outdoor environments,"Robotics and Computer Vision Lab, KAIST, Korea" -51e2167cae2e257aeeab0ba6600227576e6cc436,Pillars detection for side viewed vehicles,"Computer Science Department, Technical University Of Cluj-Napoca, Romania" -513d37674c661a72f2eac8a79c2f03139d6c020a,Robust eye localization in video by combining eye detector and eye tracker,"University of Science, Vietnam" 513d37674c661a72f2eac8a79c2f03139d6c020a,Robust eye localization in video by combining eye detector and eye tracker,"The Graduate University for Advanced Studies (Sokendai), Japan" -51da79450a9cc567dd8bd55d0d1ea24a1809619a,Automatic Detection of Round Timber in Digital Images Using Random Decision Forests Algorithm,"Ural Federal University, Yekaterinburg, Russia" 518a3ce2a290352afea22027b64bf3950bffc65a,Finding iconic images,"Computer Science Dept., SUNY Stony Brook, USA" 511fad07b943f088e487ea09ffc6c89114bb3c3e,Towards an Integrated Method of Detection and Description for Face Authentication System,"University of Ulsan, Graduate School of Electrical Engineering, Korea" -51f9c71debee2ace4c9c29b78a01909f61875acb,Improved active shape model for facial feature localization using poem descriptor,"Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications 400065, China" 51f2e751beeb14c37412a65c8e8f0746edf8382b,Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction,"University of Ulm, Universität Ulm, Ulm, Germany" -51670395402625f1b1ac42df471e6e3fe27865ce,Head-motion Robust Video-based Heart Rate Estimation Using Facial Feature Point Fluctuations,"NEC Corporation, Data Science Research Laboratories, Shimonumabe Nakahara-Ku, Kawasaki Kanagawa, 1753, Japan" -51749a7531bc31eab63153fedbda840f290b9a00,Personalized Behavior Prediction with Encoder-to-Decoder Structure,"AI Department, Ant Financial Services Group, Hangzhou, China" 51224ed7519e71346076060092462e3d59ca3ab9,Adaptive Learning for Celebrity Identification With Video Context,"Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK" -51224ed7519e71346076060092462e3d59ca3ab9,Adaptive Learning for Celebrity Identification With Video Context,"School of Software, Beijing Institute of Technology, China" 24ddb628035b32fe0b412a11b09512b4612d8fe0,Expression invariant face recognition using multi-stage 3D face fitting with 3D morphable face model,"Multimedia Department, Faculty of Computer Science & IT, University Putra Malaysia, Serdang, 43300, Malaysia" -24f3dfeb95bdecdc604d630acdfcafa1dc7c9124,Behavioural facial animation using motion graphs and mind maps,Instituto de Telecomunicações & Faculdade de Ciěncias da Universidade do Porto 247a8040447b6577aa33648395d95d80441a0cf3,A Fungus Spores Dataset and a Convolutional Neural Network Based Approach for Fungus Detection,"Data and Analytics Department, KPMG AGWPG, Düsseldorf, Germany" 24830e3979d4ed01b9fd0feebf4a8fd22e0c35fd,High-resolution comprehensive 3-D dynamic database for facial articulation analysis,"Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central Lancashire, Preston, PR1 2HE, UK" 249e7a25d52f45594f5e340a0bc9212d5e8aa0d2,High performance face recognition using pseudo 2-D hidden Markov models,"Gerhard-Mercator- University Duisburg, Department of Computer Science, Faculty of Electrical Engineering, 47057 Duisburg - Germany" @@ -4053,63 +2386,36 @@ c459014131cbcd85f5bd5c0a89115b5cc1512be9,Face recognition in the presence of exp 245d98726674297208e76308c3a11ce3fc43bee2,In-plane face orientation estimation in still images,"Faculty of Engineering, Computer Engineering Department, Akdeniz University, Dumlupinar Bulvari, Turkey" 24d967ac44319cd053544c1b77e2e294b90efe81,Estimating the information gap between textual and visual representations,"Leibniz Universität Hannover, Hannover, Germany" 24d967ac44319cd053544c1b77e2e294b90efe81,Estimating the information gap between textual and visual representations,"Leibniz Universität Hannover & German National Library of Science & Technology (TIB), Hannover, Germany" -241709c37d2a91b79352f1e77f0881f5de709795,Multi-gait identification based on multilinear analysis and multi-target tracking,"Department of Information Science and Technology, Jinan University, Guangzhou, China" -24da352e8f9c463106237b169b96f9472feea1f4,Robust Lane Detection Using Multiple Features,"Autonomous Ground Vehicle Team, Indian Institute of Technology Kharagpur, WB, 721302, India" -24cf50f79329c29e1fff1f83a9b9daa6130b9cc4,Intensity self similarity features for pedestrian detection in Far-Infrared images,"Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France" 24de12df6953151ef5cd0379e205eb0f57ff9d1f,A Tutorial on Multilabel Learning,"Department of Computer Science and Numerical Analysis, University of Córdoba, Spain" -246b8daf3942f0747cd7b99710757bdd59f2472e,Sparse Representation Based Discriminant Locality Preserving Dictionary Learning via Volterrafaces for Face Recognition,"Xi'an Peihua University, Intelligent Science & Information Engineering College, Xi'an, China" 2467767aaba7c380e742ff3e3d1a84a649163f38,Robust visual tracking based on scale invariance and deep learning,"Department of Electronics Engineering, Pusan National University, Busan, Korea" -24b476b0851d6d5d276814f3034b8a1ce3ac6905,An approach towards ear feature extraction for human identification,"DMI College of Engineering Palanchur, Chennai, Tamilnadu" 24b476b0851d6d5d276814f3034b8a1ce3ac6905,An approach towards ear feature extraction for human identification,"HCL Technologies Ltd. Chennai, Tamilnadu" -2479eb0d2eca1ec24825a68134fa67763c8f08b4,Holistic orthogonal analysis of discriminant transforms for color face recognition,"School of Automation, Nanjing University of Posts and Telecommunications, 210003, China" -2406f413907b7ef31c086755edbb22a7b7b10f5e,Evaluation of a facial recognition algorithm across three illumination conditions,"Purdue Univ., West Lafayette, IN, USA" 242c07160d7de751dd918a1a331cb157776d7a22,Onboard monocular pedestrian detection by combining spatio-temporal hog with structure from motion algorithm,"Department of Intelligent Multimedia, ISIR of Osaka University, Osaka, Japan" 242c07160d7de751dd918a1a331cb157776d7a22,Onboard monocular pedestrian detection by combining spatio-temporal hog with structure from motion algorithm,"Honda R&D Co., Ltd, Wako, Japan" 2431e8f4c01581e51a480f822971b81470979c45,Neonatal events recognition using LBP descriptor and wavelet thresholding technique,"GREYC-CNRS (UMR 6072), University of Caen Lower Normandy, France" -28566954cda47c55379a510c160e3f7e70d14917,Generalized Deformable Spatial Pyramid: Geometry-preserving dense correspondence estimation,"Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea" -28d7b900aa8c48bef81db589b6ef76c639dd8c26,Rail and turnout detection using gradient information and template matching,"SIEMENS S.A.S., SWE RC-FR IC-MOL RA R&D, 92320 Chatillon, France" 28d7b900aa8c48bef81db589b6ef76c639dd8c26,Rail and turnout detection using gradient information and template matching,"Robotic Center, Mines ParisTech, 75272, France" -2862d405f9d1e957076195b0fefd1bdfe480ca8b,Parallel implementation of eigenface on CUDA,"Department of Computer Engineering and IT, College of Engineering, Pune, India" -281949d1041dcbd7b9a9c2fac34859260027411a,Pedestrian detection based on the privileged information,"School of Economics and Management, University of Chinese Academy Sciences, Beijing, China" 28e34b9238817b5682608673335985841c3d750f,A supervised learning framework for generic object detection in images,"Comput. Vision Lab, Central Florida Univ., Orlando, FL, USA" 2866b2376254eeeccce5b796dca847437cd79f26,A moving target detection algorithm based on BING objectness and background estimation,"State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou 310007, P. R. China" 28ef59700a57bb4d9416e09608cc1a03749d2103,Bootstrapper: recognizing tabletop users by their shoes,"Hasso Plattner Institute, Potsdam, Germany" 2854f8c3dc28654067e721246b611eee872c0a57,A parallel region based object recognition system,"University of California, Berkeley, EECS Department" 2854f8c3dc28654067e721246b611eee872c0a57,A parallel region based object recognition system,Samsung Electronics 286ea509dad9f46fe04db96d09a503f5cd94a6a6,Highly Accurate and Fully Automatic Head Pose Estimation from a Low Quality Consumer-Level RGB-D Sensor,"Laval University, Quebec City, Canada" -28f7d3d894705a92cac9b08d22701fadb6472676,Non-rigid image registration for visible color and thermal IR face,"School of Information Science and Technology, Yunnan Normal University Kunming, 650092, China" -28b039cb4b00cc4deaf791b5e923d58637714f49,Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework,"Institute for Information and System Sciences, Science and Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China" -2869d03482eca973a0d2640545e657428d05185f,An efficient encoder-decoder CNN architecture for reliable multilane detection in real time,"Visteon Corporation, Pune, India" -2869d03482eca973a0d2640545e657428d05185f,An efficient encoder-decoder CNN architecture for reliable multilane detection in real time,"Visteon Corporation, Karlsruhe, Germany" 28475d32e92593b426be8ffdc4e852ed2c63affc,Comparative study between deep learning and bag of visual words for wild-animal recognition,"Multi-Agent Intelligent Simulation Laboratory (MISL), Mahasarakham University, Thailand" 28475d32e92593b426be8ffdc4e852ed2c63affc,Comparative study between deep learning and bag of visual words for wild-animal recognition,"Surf Sara BV, Science Park 140, Amsterdam, The Netherlands" 288d19731902bac26b413898aa56d060f23fbb38,An improved eye feature extraction algorithm based on deformable templates,"Inst. of Digital Commun., Edinburgh Univ., UK" -284fd4ebf1e875e3d456bbb82aadb0f543c13964,Detecting Animals in Infrared Images from Camera-Traps,"Faculty of Informatics, Technical University of Munich, Munich, Germany" 284fd4ebf1e875e3d456bbb82aadb0f543c13964,Detecting Animals in Infrared Images from Camera-Traps,"Research, MVTec Software GmbH, Munich, Germany" -2838373034071d045c360943ba6fcc7e551fb808,Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation,"Inception Institute of Artificial Intelligence, Abu Dhabi, UAE" 28ced5aba250a35d38bfee1c8ea220c479f58ca3,Automated classification of facial expressions using bag of visual words and texture-based features,"Department of Computer Science, University of Bejaia, Algeria" 28ced5aba250a35d38bfee1c8ea220c479f58ca3,Automated classification of facial expressions using bag of visual words and texture-based features,"Faculty of Science and Technology, University of Souk Ahras, Algeria" -28c367cf8d45a3ca8f3e2b59c4098ff5b4ed1f7e,Texture segmentation using image decomposition and local self-similarity of different features,"The Experimental Teaching Center of Electronics information and Control, School of Automation, Beijing Information Science and Technology University, Beijing, China" -28c367cf8d45a3ca8f3e2b59c4098ff5b4ed1f7e,Texture segmentation using image decomposition and local self-similarity of different features,"School of Computer, Beijing Information Science and Technology University, Beijing, China" -28453ccaaa89e46383e6164907d3e2a8f38549c6,Large Scale Indexing and Searching Deep Convolutional Neural Network Features,"ISTI-CNR, Pisa, Italy" 285830fcf77b1119e7603379750e5bab306ad119,Failure detection for laser-based SLAM in urban and peri-urban environments,"Institut VEDECOM, Versailles, France" -285830fcf77b1119e7603379750e5bab306ad119,Failure detection for laser-based SLAM in urban and peri-urban environments,"Inria Paris, Paris, France" -28e1982d20b6eff33989abbef3e9e74400dbf508,Automated kinship verification and identification through human facial images: a survey,"Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia" -28e1982d20b6eff33989abbef3e9e74400dbf508,Automated kinship verification and identification through human facial images: a survey,"UTM-Big Data Center, Universiti Teknologi Malaysia, Johor Bahru, Malaysia" 28e1982d20b6eff33989abbef3e9e74400dbf508,Automated kinship verification and identification through human facial images: a survey,"Faculty of Information Sciences and Engineering, Management and Science University, Selangor, Malaysia" 8bfbd28e6684e5507a150b7cc26392648b394e49,Measuring and Predicting Object Importance,"Pasadena, USA" 8b9729519615bb8576d532c9bed799cb5ee6b06d,Local descriptors matching for 3D face recognition,"Department of Electrical and Computer Engineering, Khalifa University of Science Technology & Research, Sharjah, United Arab Emirates" 8b9729519615bb8576d532c9bed799cb5ee6b06d,Local descriptors matching for 3D face recognition,"Department of Information Engineering, University of Firenze, Firenze, Italy" 8ba686c99684c6be46988ed3ab1003312c2fbf80,A non-temporal texture driven approach to real-time fire detection,"School of Engineering, Cranfield University, UK" 8bb6d7803839de35eae479b2d04453062add9ef4,Keypoint trajectory coding on compact descriptor for video analysis,"Mitsubishi Electric Research Labs (MERL) Cambridge, Massachusetts, USA" -8b03a6ad5ca06f35f65e37df0c6da32c6dd59586,VISH: A multimodal biometrie database,"Department of ECE, PES University, Bengaluru-560085, India" -8b03a6ad5ca06f35f65e37df0c6da32c6dd59586,VISH: A multimodal biometrie database,"Department of ECE, Siddaganga Institute of Technology, Tumakuru-572103, India" 8b665946429ab0715064d6f120cdea6f426ff29b,Augmenting group performance in target-face recognition via collaborative brain-computer interfaces for surveillance applications,"Brain Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, CO4 3SQ Colchester, UK" 8bfec7afcf5015017406fc04c43c1f43eb723631,Component-Based Recognition of Facesand Facial Expressions,Digital Signal Corporation 8bca3e860a08727511148e691835c9c516894b88,Spatially Optimized Data-Level Fusion of Texture and Shape for Face Recognition,"Department of Computer Engineering, Umm Al-Qura University, Makkah, Saudi Arabia" -8bbd40558a99e33fac18f6736b8fe99f4a97d9b1,Visual Object Detection Using Cascades of Binary and One-Class Classifiers,"Laboratoire Jean Kuntzmann, Grenoble, France" 8b38262f1b7258bb168b0edc401699ec56f52e28,Advances in Visual Computing,"NASA Ames Research Center, Moffett Field, USA" -8b38262f1b7258bb168b0edc401699ec56f52e28,Advances in Visual Computing,"Desert Research Institute, Reno, USA" 8b38262f1b7258bb168b0edc401699ec56f52e28,Advances in Visual Computing,"Department of Computer Science, University of California at Irvine, Irvine" 8b38262f1b7258bb168b0edc401699ec56f52e28,Advances in Visual Computing,"Department of Computer Science and Engineering, University of Colorado at Denver, Denver, USA" 8b38262f1b7258bb168b0edc401699ec56f52e28,Advances in Visual Computing,"VRVis Zentrum für Virtual Reality and Visualisierung, Vienna, Austria" @@ -4119,102 +2425,63 @@ c459014131cbcd85f5bd5c0a89115b5cc1512be9,Face recognition in the presence of exp 8bd8b5ee7a38ae0a148d8afa1827f41aba5323cf,Effective Fashion Retrieval Based on Semantic Compositional Networks,"CS Dept., UFMG & Kunumi, Brazil" 8bd8b5ee7a38ae0a148d8afa1827f41aba5323cf,Effective Fashion Retrieval Based on Semantic Compositional Networks,"CS Dept., UFMG, Brazil" 8b39c1e07a67e1e5db830d8a924cfcc3d0faf25a,Combined subspace method using global and local features for face recognition,"Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., South Korea" -8b653159e55dbac7130403cafcc9d3e86eb47ab9,Towards Feature Fusion for Human Identification by Gait,"Zhejiang Wanli Univ., Ningbo" 8b6aab4c6b03d4537cb9870f9119b310a77aa066,Multimodality In Biosecure: Evaluation On Real Vs. Virtual Subjects,"Département Electronique et Physique, Institut National des Télécommunications, 9 Rue Charles Fourier, 91011 Evry France. Bernadette.Dorizzi@int-evry.fr" -8b9934758378a78604ce13914e23c6994caa3427,Machine learning techniques to build geometrical transformations for object matching a review,"Department of Computer science and Engineering, Government College of Engineering, Amravati (MH), India" 8b4124bb68e5b3e6b8b77888beae7350dc594a40,Expression-invariant face recognition system using subspace model analysis,"Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia" 8b4061697db9d3dd6536b812d395553f4cfb534e,3D mesh video retrieval: A survey,"Department of Informatics & Telecommunications - National & Kapodistrian University of Athens, Greece" 8b4061697db9d3dd6536b812d395553f4cfb534e,3D mesh video retrieval: A survey,"Department of Electrical & Computer Engineering - Democritus University of Thrace, Greece" -8b82af24bf580cbd22467ab69c588da87956a7f3,Enhanced Pictorial Structures for precise eye localization under incontrolled conditions,"Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China" 8b5af4bf220847d1237d97649c86dd76d43166fa,Fusion based feature vector for gender classification,"Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitési" 8b06d12795c1714960cc0db17687777aad28ab42,Pedestrian detection in digital videos using committee of motion feature extractors,"Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil" -8b06d12795c1714960cc0db17687777aad28ab42,Pedestrian detection in digital videos using committee of motion feature extractors,"Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina" 8b4e353fe825725b53fb42e4ece889b7716d5b41,Fuzzy SVM for 3D facial expression classification using sequential forward feature selection,"Department of Electrical and Electronic Engineering, Eeastern Mediterranean University, Famagusta, North Cyprus" -8bfb238673869c428e7723e4b8ea5ec6bdfb9824,Real-time 3D motion capture by monocular vision and virtual rendering,"Institut Mines-Télécom, Télécom SudParis, Evry Cedex, France" 8bfb238673869c428e7723e4b8ea5ec6bdfb9824,Real-time 3D motion capture by monocular vision and virtual rendering,"ESTIA, Bidart, France" 8b6c284eb4299a70820ec91322a2937c489fbd89,Smart home automation system for intrusion detection,"Faculty of Engineering and Applied Science University of Regina Regina, Canada" 8bce31108f598986558e9afb1061eb988ea4f3be,Automated Image Annotation based on YOLOv3,"Department of Electronic Systems, Vilnius Gediminas Technical University, Vilnius, LT-03227, Lithuania" -d8ef79377ee77ad3b21315072f092db02ce23287,3D Convolutional Neural Networks Based Speaker Identification and Authentication,"School of Electric Information and Electronic Engineering, Shanghai Jiaotong University" d849905418ab2bbb159fbc45be752c50d7852e9e,Hyperplane arrangements for the fast matching and classification of visual landmarks,"School of Engineering, Auckland University of Technology, Auckland, New Zealand" -d849905418ab2bbb159fbc45be752c50d7852e9e,Hyperplane arrangements for the fast matching and classification of visual landmarks,"Visual Information Technologies, Jacobs University Bremen, Bremen, Germany" d849905418ab2bbb159fbc45be752c50d7852e9e,Hyperplane arrangements for the fast matching and classification of visual landmarks,"Mechatronics Group, University of Auckland, Auckland, New Zealand" -d833268a8ea9278e68aaf3bd9bc2c11a5bb0bab7,Two-class 3D-CNN classifiers combination for video copy detection,"School of Information Science and Technology, Shandong Normal University, Jinan, China" d8a489e5cd8a7ca5faf646533263b46ea462a105,Driving information logger with in-vehicle communication for autonomous vehicle research,"Autonomous Driving System Research Group, ETR, Daejeon 34219, Korea" -d89b7eb82a663187f63e7d69dca11f204c74fcb1,Nonlinear Structural Hashing for Scalable Video Search,"Department of Automation, Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology, Beijing, China" -d83db03f8eae6dba91ce044c640c6b35ccf541f3,Face and expression recognition based on bag of words method considering holistic and local image features,"Chiba Institute of Technology, Japan" d897e942dd9d07c3d1787b44151b691ecef7ec1c,CUDA-based parallelization of a bio-inspired model for fast object classification,"TecNM - Instituto Tecnológico de Tijuana, Calzada Del Tecnológico S/N, Fraccionamiento Tomas Aquino, Tijuana, Mexico" d897e942dd9d07c3d1787b44151b691ecef7ec1c,CUDA-based parallelization of a bio-inspired model for fast object classification,"Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, Mexico" d897e942dd9d07c3d1787b44151b691ecef7ec1c,CUDA-based parallelization of a bio-inspired model for fast object classification,"Instituto de Astronomía, Universidad Nacional Autónoma de México, Ensenada, Mexico" -d897e942dd9d07c3d1787b44151b691ecef7ec1c,CUDA-based parallelization of a bio-inspired model for fast object classification,"TecNM Instituto Tecnológico de Ensenada, Ensenada, Mexico" d842ddfecc6ede3ad86cbfc68f019d5c0c6f1e44,Face hallucination via locality-constrained low-rank representation,"Department of Electrical and Computer Engineering Texas A&M University College Station, TX 77843" -d89f17c77369b7a7148c77ecdb2e1fabf90e650f,Improving object color categorization with shapes,"Industrial Technology Research Institute, China" -d817729f2fc8509d138f8db73ef0ca519615c8fe,Indexing billions of images for sketch-based retrieval,"Key Laboratory of Machine Perception (Ministry of Education), Peking Univ., Beijing, China" d8f72f50cbe6e0fa4025bc990b7e8a52cc6bbad9,Survey of deep learning in face recognition,"College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang" -d855791bc23b4aa8e751d6a4e2ae7f5566a991e8,"Evaluation of Facial Expression Recognition by a Smart Eyewear for Facial Direction Changes, Repeatability, and Positional Drift","National Institute of Advanced Industrial Science Technology, Japan" -d8bc2e2537cecbe6e751d4791837251a249cd06d,Assessing tracking performance in complex scenarios using mean time between failures,Disney Research d8bc2e2537cecbe6e751d4791837251a249cd06d,Assessing tracking performance in complex scenarios using mean time between failures,The Pennsylvania State University d878a67b2ef6a0a5dec72db15291f12419040ab1,Using web images as additional training resource for the discriminative generalized hough transform,"Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany" -d8e5d94c3c8688f0ca0ee656c79847c7df04c77d,Voice activity detection based on facial movement,"Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands" d869044ad4f8032789781c350059f7b41395bb21,Exploring Reliability for Automatic Identity Verification with Statistical Shape Models,"Department of Technology, Pompeu Fabra University, Passeig de Circumvallació 8, (08031) Barcelona, Spain" d8bb184afa8e68c569592471d83fdcd9120fe5c6,Double layer salient parts based multi-people tracking,"Institute for Infocomm Research (I2R) Visual Computing Department, Singapore 138632, Singapore" d8fcfb25195b71b85cec72edf160f00f160cbe70,Global data association for the Probability Hypothesis Density filter using network flows,"Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany" -d85813b58e10a35703df3a8acf41aafe4b6e1dd2,Facial expression recognition based on PCA reconstruction,"Renai College of Tianjin University, Tianjin, China" -ef13cefa7700e1286c52700cee5b36c4e186b27b,Face recognition via Lorentzian metric,"Bilgisayar Mühendisliği, Ahmet Yesevi Üniversitesi, Ankara, Türkiye" ef13cefa7700e1286c52700cee5b36c4e186b27b,Face recognition via Lorentzian metric,"Elektrik-Elektronik Mühendisliği, Bölümü Gazi Üniversitesi, Ankara, Türkiye" -ef9677e5c7dbcc87940b11c3627db56cca9bbf52,YACCLAB - Yet Another Connected Components Labeling Benchmark,"Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, 41125, Italy" ef92368c21c1310a6134de0cf5befac4443e3e85,Event-driven track management method for robust multi-vehicle tracking,"Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea" -ef57b2b689cb91e0c7f9f9a2691c340349d9b2d4,Affective media and wearables: surprising findings,"MIT Media Lab, Cambridge, MA, USA" -ef363588ceb966d862b4347051d20b8e1b8834f1,A survey: Software API and database for emotion recognition,"Department of Computer Engineering, MIT Pune, India" efeeb000107745e3fba04ee4676c0435eaf4257b,Nose tip detection using ellipsoid fitting for 2.5D partial face data,"Department of Biomedical Engineering, Faculty of Engineering, Srinakharinwijot University, Nakhonnayok, Thailand" efeeb000107745e3fba04ee4676c0435eaf4257b,Nose tip detection using ellipsoid fitting for 2.5D partial face data,"Biomedical Signal Processing Laboratory, National Electronics and Computer Technology Center, Pathumthani, Thailand" ef59e9bc97205237d776d553e304f4f72e418ead,Human pose estimation using patch-based candidate generation and model-based verification,"Intelligent Systems Laboratory, SECOM, Tokyo, Japan" ef11f2cd92ae23832260184db767b8474bd84273,A learning algorithm for model based object detection,"Department of Mechanical Engineering, PurdueSchool of Engineering and Technology, IUPUI, USA" -ef17e8f2f5367b528fb850797808f26d9cbcbb9e,Fast image segmentation for local feature descriptors,"Bilgisayar Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye" ef17e8f2f5367b528fb850797808f26d9cbcbb9e,Fast image segmentation for local feature descriptors,"Elektrik-Elektronik Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye" -ef20808eaa02c1149b75fe38b7d5ffaff02dbd6f,Coverage and diversity aware top-k query for spatio-temporal posts,"Freie Universität Berlin, Germany" ef20808eaa02c1149b75fe38b7d5ffaff02dbd6f,Coverage and diversity aware top-k query for spatio-temporal posts,"IMIS, Athena R.C., Greece" ef20808eaa02c1149b75fe38b7d5ffaff02dbd6f,Coverage and diversity aware top-k query for spatio-temporal posts,"Technische Universität Wien, Austria" ef761435c1af2b3e5caba5e8bbbf5aeab69d934e,Learning Clip Representations for Skeleton-Based 3D Action Recognition,"School of Engineering and Information Technology, Murdoch University, Murdoch, WA, Australia" -ef9b8724f857daec94690d03764dd1299d0cbbcd,Adaptive graph orthogonal discriminant embedding: an improved graph embedding method,"School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China" -ef3eb3b3e2285e964b385c015caa0f8a24057f0e,Computer Vision,"Civil Aviation University of China, Tianjin, China" -ef3eb3b3e2285e964b385c015caa0f8a24057f0e,Computer Vision,"Xi’an Jiaotong University, Xi’an, China" efe88ca3b72085ed90f8ebcd6c30f9397316ead6,3D object segmentation for shelf bin picking by humanoid with deep learning and occupancy voxel grid map,"Department of Mechano-Informatics. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan" ef12de45bd47e03451cde586697601cd7e36c3b9,Aligning Text and Document Illustrations: Towards Visually Explainable Digital Humanities,University of of Modena and Reggio Emilia aad38eb0800c535ec87eabc2f3904e04cb16ac3f,2D face liveness detection: An overview,"Competence Center Identification and Biometrics, Fraunhofer Institute for Computer Graphics Research IGD, Fraunhoferstraße 5, 64283 Darmstadt, Germany" -aa528ffb1c392d519f1183489eccbafbc85c10b0,Multiresolution Hybrid Approaches for Automated Face Recognition,"Queen's University, Belfast, UK" aa62981beb24d6bf2a69be20cdc905ddda8ed440,Efficient MAP/ML similarity matching for visual recognition,"Mitsubishi Electr. Res. Lab., Cambridge, MA, USA" aa4047d5f2e9e55b97d03aa7e8fb2a3025598a4b,Speaker verification using support vector machine with LLR-based sequence kernels,"Department of Applied Geomatics, Ching Yun University, Taoyuan, Taiwan" -aa2f9b948382b3aef373dfd2952ef1474bd4712a,Improving non-negative matrix factorization via ranking its bases,"College of Computer Science at Chongqing University, Chongqing, PRC" aa2f9b948382b3aef373dfd2952ef1474bd4712a,Improving non-negative matrix factorization via ranking its bases,"Department of Computer Science at Rutgers University, NJ, USA" -aa6b683c891c15389b90eced73c56f34065ee3be,Super-resolution for face image with an improved K-NN search strategy,"National Engineering Research Center for Multimedia Software, Computer School of Wuhan University, China" -aa9738c45df4c71ab2cc98384b4afb0fac9499de,A novel hybrid approach based on principal component analysis and tolerance rough similarity for face identification,"Department of Computer Science, Periyar University, Salem, India" -aae7648c8b3acad61463cc1bdb4f17da40f819a4,Context-based multi-target tracking with occlusion handling,"Auckland University of Technology, Auckland, New Zealand" -aae7648c8b3acad61463cc1bdb4f17da40f819a4,Context-based multi-target tracking with occlusion handling,"Daimler A.G, Boeblingen, Germany" aab45f8c7a4338e80069e6a8611c09160964bea6,Generating Cultural Characters based on Hofstede Dimensions,"PUC-RS, Brazil" aab45f8c7a4338e80069e6a8611c09160964bea6,Generating Cultural Characters based on Hofstede Dimensions,"UMass Lowell-MA, USA" aad7b12936e0ced60bc0be95e8670b60b5d5ce20,Face identification using affine simulated dense local descriptors,"Department of Computer Science and Engineering, POSTECH, Pohang 790-784, Republic of Korea" aa1c73388a28f1d2c5b12134577644c9d577a54f,Sparsity in unions of subspaces for classification and clustering of high-dimensional data,"Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA" aa1c73388a28f1d2c5b12134577644c9d577a54f,Sparsity in unions of subspaces for classification and clustering of high-dimensional data,"Center for Imaging Science, Department of Biomed-ical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA" -aaf6d6af759fec4228e9730ce4ada272228b172c,A Novel Approach to Detect and Correct Highlighted Face Region in Color Image,"Dept. of Comput. Sci., Huaqiao Univ., Quanzhou, China" aa1c888d43f1d254e9fece485c3d6fd2454b894f,Structured Prediction for Object Detection in Deep Neural Networks,"Institut für Informatik VI, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany" aade6c3dbea3b0a918f87c85a36cb6b06eff4f5b,Skin-based privacy filter for surveillance systems,"Intelligent Systems Research Laboratory, University of Reading, United Kingdom" aaacc6a8eb5519080dd6b850d8817f82a28396e2,Multi-modal gesture recognition challenge 2013: dataset and results,"University of Barcelona & Computer Vision Center, Barcelona, Spain" aaacc6a8eb5519080dd6b850d8817f82a28396e2,Multi-modal gesture recognition challenge 2013: dataset and results,"Universitat Autonoma de Barcelona & Computer Vision Center, Barcelona, Spain" -aaacc6a8eb5519080dd6b850d8817f82a28396e2,Multi-modal gesture recognition challenge 2013: dataset and results,"Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain" aaacc6a8eb5519080dd6b850d8817f82a28396e2,Multi-modal gesture recognition challenge 2013: dataset and results,"Universitat de Barcelona & Computer Vision Center, Barcelona, Spain" aaacc6a8eb5519080dd6b850d8817f82a28396e2,Multi-modal gesture recognition challenge 2013: dataset and results,"Computer Vision Center, Barcelona, Spain" aaacc6a8eb5519080dd6b850d8817f82a28396e2,Multi-modal gesture recognition challenge 2013: dataset and results,"University of Texas, Texas, USA" aa5eeb1ab953411e915ea5e6298474dbebfa6fb6,An efficient scheme for face detection based on contours and feature skin recognition,"Mathematical and Computer Science Department, Faculty of Science, Sohag University, Egypt" aa5eeb1ab953411e915ea5e6298474dbebfa6fb6,An efficient scheme for face detection based on contours and feature skin recognition,"Department of Computer Science, Faculty of Science, Minia University, El-Minia, Egypt" -aae29ef5ab6f9f24e8ab7985386c23294d2343cc,Supervised neighborhood regularized collaborative representation for face recognition,"College of Science, Huazhong Agricultural University, Wuhan, China" -aae29ef5ab6f9f24e8ab7985386c23294d2343cc,Supervised neighborhood regularized collaborative representation for face recognition,"Institute of Statistics Science, Huazhong Agricultural University, Wuhan, China" aabcbe3ee81ff4f696c7cefc49d28a41fb760987,Automated annotation of coral reef survey images,Department of Computer Science and Engineering aabcbe3ee81ff4f696c7cefc49d28a41fb760987,Automated annotation of coral reef survey images,"Department of Biology, California State University Northridge" aabcbe3ee81ff4f696c7cefc49d28a41fb760987,Automated annotation of coral reef survey images,"Scripps Institution of Oceanography}, University of California, San Diego" -aac19081782914dc359c1a6b9cbc626478e0a957,Remote Sensing-derived hydroperiod as a predictor of floodplain vegetation composition,"University of Botswana Okavango Research Institute, Maun, Botswana" aac19081782914dc359c1a6b9cbc626478e0a957,Remote Sensing-derived hydroperiod as a predictor of floodplain vegetation composition,"Ecosurv Environmental Consultants, Maun, Botswana" -aad4c94fd55d33a3f3a5377bbe441c9474cdbd1e,A low rank model based improved eye detection under spectacles,"Dept. of Electrical Engineering, National Institute of Technology, Rourkela, India 769008" -aa959e6402dce927b46988e50f1662d8762bcd1c,Software-Hardware Codesign for Efficient Neural Network Acceleration,Tsinghua University and DeePhi aa959e6402dce927b46988e50f1662d8762bcd1c,Software-Hardware Codesign for Efficient Neural Network Acceleration,Stanford University and DeePhi aa959e6402dce927b46988e50f1662d8762bcd1c,Software-Hardware Codesign for Efficient Neural Network Acceleration,DeePhi aa5ca83bfa1f3b433376b63c42d567ddd3370811,A Fusion of a Monocular Camera and Vehicle-to-Vehicle Communication for Vehicle Tracking: An Experimental Study,"Computer Engineering Department, Galatasaray University, Istanbul, 4349, Turkey" @@ -4227,161 +2494,96 @@ f84a8a7d9bb4a07e5f07cceaf9c80163315b12fe,Illumination-insensitive features for f f84a8a7d9bb4a07e5f07cceaf9c80163315b12fe,Illumination-insensitive features for face recognition,"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, People’s Republic of China" f8e27d3d390e37b0a82e9ba5d9486178b25ae135,The Cerema pedestrian database: A specific database in adverse weather conditions to evaluate computer vision pedestrian detectors,"National Engineering School of Sousse, UR: SAGE-ENISo, University of Sousse, Tunisia" f8e27d3d390e37b0a82e9ba5d9486178b25ae135,The Cerema pedestrian database: A specific database in adverse weather conditions to evaluate computer vision pedestrian detectors,"Cerema, Department Laboratory of Clermont-Ferrand, 8-10 rue Bernard Palissy, F-63017 Cedex 2, France" -f8e27d3d390e37b0a82e9ba5d9486178b25ae135,The Cerema pedestrian database: A specific database in adverse weather conditions to evaluate computer vision pedestrian detectors,"Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France" f812347d46035d786de40c165a158160bb2988f0,Predictive coding as a model of cognition,"Department of Informatics, King’s College London, Strand, London, UK" f834c50e249c9796eb7f03da7459b71205dc0737,Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching,"GIPSA Laboratory, Image and Signal Department, Grenoble Institute of Technology, Grenoble, France" f840e727e55e9ab1d4f069ecc38da78cd2ebd23b,A classifier-free codebook-based image classification of vehicle logos,"Department of Computer Science, University of Jaffna, Sri Lanka" f824b40ae80534bfd7363a630100504bc8ae1316,Cross Indexing With Grouplets,"Media Analytics Department, NEC Laboratories America, Cupertino, CA, USA" f8403bf4e3060487cbc8acceb1fb256a4f1cfc76,Adopting Abstract Images for Semantic Scene Understanding,"Department of Electrical and Computer Engineering, Virginia Tech., Blacksburg, VA" -f8ba921670c94ed94d94a98d64f38b857b0dc104,Facial expression recognition using multi-class minimax probability machine,"School of Computer Science and Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China" -f8ba921670c94ed94d94a98d64f38b857b0dc104,Facial expression recognition using multi-class minimax probability machine,"School of Information Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China" -f894375c28c685fec586b722a08a78f45f931d04,How biometrics along with tablet devices shall create great learning opportunities in classrooms: The BT framework,"Sathyabama University, Jeppiar Nagar, Chennai, Tamil Nadu, India" -f894375c28c685fec586b722a08a78f45f931d04,How biometrics along with tablet devices shall create great learning opportunities in classrooms: The BT framework,"Kamaraj College Thoothukudi, Tamil Nadu, India" f8c1d0123b95c538077d54f6c4ee2c355edd75ac,Implementation of WSN application service using people detection algorithm,"Green IT Service Research Team, Honam Research Center, Electronics and Telecommunications Research Institute, Gwangju, South Korea" -f8dfa96a9d146b23bf266d6d880e485e636b0f60,Analysis and improvement of joint bilateral upsampling for depth image super-resolution,"Department of Computer Science, City University of Hong Kong Kowloon, Hong Kong, China" -f8dfa96a9d146b23bf266d6d880e485e636b0f60,Analysis and improvement of joint bilateral upsampling for depth image super-resolution,"Center of Research and Development, SenseNets Corporation, Shenzhen, China" f806e043f352aea95276fd9dc5ddb361291faf05,Robust Vehicle Detection and Viewpoint Estimation With Soft Discriminative Mixture Model,"Visual Computing Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore" -f8ca23fdb2c9f62a0492147f1f015579049ad3cc,How do neural responses to eyes contribute to face-sensitive ERP components in young infants? A rapid repetition study,"Institute of Psychology, Heidelberg University, Heidelberg, Germany" f8292dec6d60debe9d4da5004d5195a79255d5d5,Retinal Disease Screening Through Local Binary Patterns,"Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Valencia, Spain" f8292dec6d60debe9d4da5004d5195a79255d5d5,Retinal Disease Screening Through Local Binary Patterns,"Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway" f857141254bcb7b091ff4caeaee315daa71c028a,Towards intelligent hospital devices: Health caring of patients with motor disabilities,"Centro de Investigación y de Estudios Avanzados del I.P.N., Coordinación General de Tecnologías de la Información y las Comunicaciones Av. I.P.N. No. 2508, Col. San Pedro Zacatenco 07360, México, D.F., México" -f8c9a3412f3c74ee4ac1865bfc1da3ccf3b2b3d4,Facial expression recognition based on dual-feature fusion and improved random forest classifier,"School of Information Science and Engineering, Changzhou University, Changzhou, China" -f8cd3c8f27b3928862a16c1a087c445e095079a0,A framework for image classification for an efficient dictionary based face recognition system,"Rajalakshmi Engineering college and Research Scholar, VIT university" -f8cd3c8f27b3928862a16c1a087c445e095079a0,A framework for image classification for an efficient dictionary based face recognition system,"SCSE, VIT University (Chennai Campus), Chennai, India" -f8a3135aa603d53bbc5c13a7b16984761694475d,Orthographic Perspective Mappings for Consistent Wide-Area Motion Feature Maps From Multiple Cameras,"Bell Laboratories Research, Murray Hill, NJ, USA" f89894944bd4cb871b722f0fbcb32fbe866c5bb7,Bio-inspired heterogeneous architecture for real-time pedestrian detection applications,"TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy" -f89894944bd4cb871b722f0fbcb32fbe866c5bb7,Bio-inspired heterogeneous architecture for real-time pedestrian detection applications,"Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France" f89894944bd4cb871b722f0fbcb32fbe866c5bb7,Bio-inspired heterogeneous architecture for real-time pedestrian detection applications,"Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France" f8fe1b57347cdcbea755722bf1ae85c4b26f3e5c,OptiFuzz: a robust illumination invariant face recognition system and its implementation,"Toyohashi University of Technology, Toyohashi, Japan" -f854faafdd6c4f4144012f1de26573eddabd040c,"3-D face recognition: features, databases, algorithms and challenges","Visvesvaraya National Institute of Technology, Nagpur, India" f898ac4c468d46fde9f6393541759cb8d22a0ce2,Human Behavior Understanding,"University of California, David, USA" -f898ac4c468d46fde9f6393541759cb8d22a0ce2,Human Behavior Understanding,"Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Modena, Modena, Italy" f8f14c0248a4974ce9a6226db81f9745a6b1ea97,Part based pedestrian detection based on Logic inference,"Department of Systems Engineering, Universidad Carlos III de Madrid, C/ Butarque 15, Leganes, Spain" 7c23bdcee91be4426c77f580e79462ffe7f52df0,Face recognition methods for multimodal interface,"Institute of Telecommunications, Slovak University of Technology, Bratislava, Slovakia" 7cc2f74fe23b38dd91a805a991ccb017352d33b2,Fast segmentation of 3D point clouds: A paradigm on LiDAR data for autonomous vehicle applications,"Advanced Engineering Department, DELPHI Automotive" -7c8242e68445118798e2e1eedc287e88a3d8e76a,An intelligent fitting room using multi-camera perception,"PARC, Palo Alto, CA" -7c65429c04ae814384090fac76089c3151394ee1,Facial Expression Classification using Gabor and Log-Gabor Filters,"Victoria University of Technology, Australia" 7c70697c3db90adca733a4e36cd5e1d603551da4,An overview of objectionable image detection,"Advanced Informatics School (AIS), Universiti Teknologi Malayisa (UTM), Kuala Lumpur, Malaysia" 7cd99c15e5a1791f1fa5c9c9969312c7dd646574,Detecting wildlife in uncontrolled outdoor video using convolutional neural networks,"Department of Computer Science, University of North Dakota, Grand Forks, North Dakota 58202" 7cd99c15e5a1791f1fa5c9c9969312c7dd646574,Detecting wildlife in uncontrolled outdoor video using convolutional neural networks,"Department of Biology, University of North Dakota, Grand Forks, North Dakota 58202" -7c0d8e61d1c2fcd0c760f3df7e94aa38e52ef028,Component based representation for face recognition,"Information Engineering and Automation Department, Hebei College of Industry and Technology, Shijiazhuang 050091, China" -7c0d8e61d1c2fcd0c760f3df7e94aa38e52ef028,Component based representation for face recognition,"Faculty of Electrical & Electronics Engineering, Shijiazhuang Vocational Technology Institute, 050081, China" 7c33367c65094b25e30527176d85f4e74fb07c72,Detecting Surgical Tools by Modelling Local Appearance and Global Shape,"Medicis team. INSERM U1099, Université de Rennes 1 LTSI, Rennes, France" 7c33367c65094b25e30527176d85f4e74fb07c72,Detecting Surgical Tools by Modelling Local Appearance and Global Shape,"Department of Neurosurgery, Rennes University Hospital, Rennes, France" -7cec368016b146254817d5c0138876d2772894c2,Discovering latent spatial structured patterns using graph models for scene classification,"School of Mathematics Science, Liaocheng University, Liaocheng, China" 7c0b4ace044848f8e156e5ec898847a075905495,Pedestrian group attributes detection in crowded scenes,"Science and Technology Unit, Umm Al-Qura University, Makkah Saudi Arabia" -7c54240c23d42703ddc85089d167f4985614cc3a,Overview on emotion recognition system,"Dept. of Computer Science and Engineering, St. Joseph's College of Engineering and Technology, Palai, Kerala, India" 7c3ab4a8947a0d1d1014d3e09dcba7485db5ea22,Play and Rewind: Optimizing Binary Representations of Videos by Self-Supervised Temporal Hashing,"NUS, Singapore, Singapore" -7c2811070594a6cae2a1282670d8aabe77bb9c0d,Dedicated mechanisms for the attention system in humanoid robots,"Institut fur Nachrichtentechnik, Universitat Karlsruhe, Germany" 7c9a9a9679845530332e89f1647e390b3af7beaf,Fast face segmentation in component color space,"E. U. Politecnica, Universidad de Castilla-La Mancha, Cuenca, Spain" 7cd9b79cfe05e772afaaff2a0aecf3bd5eb53f79,Multiple parenting identification in image phylogeny,"Institute of Computing - University of Campinas - Campinas, Brazil" -7cd9b79cfe05e772afaaff2a0aecf3bd5eb53f79,Multiple parenting identification in image phylogeny,"National Inter-University Consortium for Telecommunications - Florence, Italy" 7cd9b79cfe05e772afaaff2a0aecf3bd5eb53f79,Multiple parenting identification in image phylogeny,"Department of Information Engineering - University of Florence - Florence, Italy" 7cd9b79cfe05e772afaaff2a0aecf3bd5eb53f79,Multiple parenting identification in image phylogeny,"Department of Information Engineering and Mathematics - University of Siena - Siena, Italy" -7ccc0f8748e499a4131f0f0ba94cc7d79c3f5cb6,Chart classification by combining deep convolutional networks and deep belief networks,"College of Computer Science, Hangdian University, Hangzhou, China 310027" -7ccc0f8748e499a4131f0f0ba94cc7d79c3f5cb6,Chart classification by combining deep convolutional networks and deep belief networks,"HIK VISION, Hangzhou, China 310027" 7ce9e79cb63e33faa3be0c534664076e420dd7a1,Semantic Segmentation of Complex Road Environments from Aerial Images Using Convolutional Neural Networks,"Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States" 7c202efbaefdd283be4a4579c6d579ce03e48cd0,Large object detection in cluttered background using boosted Markov Chain Monte Carlo,"LED-IT Fusion Technology Research Center and Dept. of Electronic Engineering Yeungnam University, 214-1 Dae-dong Gyeongsan-si Gyeongsangbuk-do, Korea" -7cb85b17a35511b99bbb3975a333c714c1aad4b9,Gait classification with different covariate factors,"Faculty of Information Technology, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia" 7cb85b17a35511b99bbb3975a333c714c1aad4b9,Gait classification with different covariate factors,"Faculty of Engineering, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia" 7c23cfa319ea8e4fea8dfa28c8778edd9049d3e8,Hyper-Optimization tools comparison for parameter tuning applications,"LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France" 7c327903219c4da8bd127b467b47ac0867529973,Face: face analysis for Commercial Entities,"Sapienza Università di Roma, via Salaria 113, 00198, Italy" 7c327903219c4da8bd127b467b47ac0867529973,Face: face analysis for Commercial Entities,"Università degli Studi di Salerno, via Ponte don Melillo, 84084, Fisciano, Italy" -7c5e33e18ef4fe92907bd1b9d752bcd85a4ec90c,Multiple-shot human re-identification by Mean Riemannian Covariance Grid,"INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France" 7c3c4c64cd5c0d962f8f0c875dd86006cafe30b8,A Dense Phase Descriptor for Human Ear Recognition,"Department of Information Science, College of Applied Computer Science, King Saud University (Almuzahmiyah Branch), Riyadh, Saudi Arabia" 7c3c4c64cd5c0d962f8f0c875dd86006cafe30b8,A Dense Phase Descriptor for Human Ear Recognition,"Department of Electronics, University of Batna, Batna, Algeria" -7c8e0f3053e09da6d8f9a1812591a35bccd5c669,"Research in Attacks, Intrusions, and Defenses","Ruhr-Universität Bochum, Bochum, Germany" 7c8e0f3053e09da6d8f9a1812591a35bccd5c669,"Research in Attacks, Intrusions, and Defenses","Vrije Universiteit Amsterdam, Amsterdam, The Netherlands" 7c8e0f3053e09da6d8f9a1812591a35bccd5c669,"Research in Attacks, Intrusions, and Defenses","Foundation for Research & Technology – Hellas, Heraklion, Crete, Greece" -3cca51f66b9693bc188557abe8a628580ae62aa2,The influence of perceptual similarity and individual differences on false memories in aging,"Department of Psychology, Pennsylvania State University, University Park, PA, USA" -3cbd3124b1b4f95fcdf53abd358d7ceec7861dda,Convolutions through time for multi-label movie genre classification,"Pontifícia Universidade Católica do RS, Porto Alegre-RS, Brazil" 3cf24e5e15deef58cfc9ef43470a7db9a2bb97d2,Improving business rating predictions using graph based features,"National ICT Australia, Sydney, Australia" -3cf24e5e15deef58cfc9ef43470a7db9a2bb97d2,Improving business rating predictions using graph based features,"The University of Haifa, Haifa, Israel" 3cad02aa184d4d429b140918711d2fee5ee1ac7f,A survey of visual lip reading and lip-password verification,"Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan, R.O.C." 3c5a43b280588b0e1883ff0ef87c10d81b8c09c3,Statistical non-uniform sampling of Gabor wavelet coefficients for face recognition,"Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada" 3c16b4c829d6fb0ae73211e19e99e424ed02ae52,HeatSpace: Automatic Placement of Displays by Empirical Analysis of User Behavior,"Aarhus University, Aarhus, Denmark" 3c4290e6adce10cb809f5adec9559220eac79241,Principal component analysis for ear-based biometric verification,"Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain" 3c4290e6adce10cb809f5adec9559220eac79241,Principal component analysis for ear-based biometric verification,"Group of Biometrics, Biosignals and Security, Research Centre for Smart Buildings and Energy Efficiency (CeDInt), Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain" 3ce25ff9a72bdbec5d39f6d8c43abe4d932b4fab,A Multi-sensory Gesture-Based Login Environment,"Umm al Qura University & Universiti Sains Malaysia, Makkah, Saudi Arabia" -3ce25ff9a72bdbec5d39f6d8c43abe4d932b4fab,A Multi-sensory Gesture-Based Login Environment,"Umm al Qura University, Makkah, Saudi Arabia" 3ce25ff9a72bdbec5d39f6d8c43abe4d932b4fab,A Multi-sensory Gesture-Based Login Environment,"Umm al Qura University & University of Grenoble Alpes, Makkah, Saudi Arabia" 3c4c15a6597223887e0a5384237fd2a89b176e4a,Optimized Product Quantization,"Microsoft Bing, Sunnyvale" -3c9c948eaa2f5c9c2a8ab13e03b6a462dd90c946,Fast human detection in RGB-D images based on color-depth joint feature learning,"Intel Labs China, Intel Corporation, Beijing, 100086, China" -3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc,Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory,"no.1 tanhu 2nd road, canglong island, jiangxia district, Wuhan, China" -3cbc4b9637c238f2f8e1d8816c81fba8294a4bfc,Multi-Object Tracking Using Online Metric Learning with Long Short-Term Memory,"Chongqing Vocational Institute of Engineering, Chongqing, China" -3ca6adc90aae5912baa376863807191ffd56b34e,Exploring Facial Asymmetry Using Optical Flow,"School of Software, Shenyang University of Technology, Shenyang, China" -3cbf60c4a73fadd05b59c3abd19df032303e8577,Incremental Deep Hidden Attribute Learning,"Huazhong University of Science of Technology, China, Wuhan, China" -3cbf60c4a73fadd05b59c3abd19df032303e8577,Incremental Deep Hidden Attribute Learning,"National Institute of Informatics, Japan & University of Tokyo, Tokyo, Japan" 3c09d15b3e78f38618b60388ec9402e616fc6f8e,Neural networks recognition rate as index to compare the performance of fuzzy edge detectors,"School of Engineering of UABC, University of Baja California, Tijuana, Mexico" 3c086601ce0bac61047b5b931b253bd4035e1e7a,Occlusion handling in feature point tracking using ranked parts based models,"Information and media processing laboratories, NEC Corporation" 3c4106f2c670362f620b33ad7715ab6fd3eb2458,Upscaling faces for recognition systems using trained filters,"Technical University of Eindhoven, Eindhoven, Netherlands" 3c3477903b5138fe5e5e007556981387dd391f77,Online adaptive multiple pedestrian tracking in monocular surveillance video,"Department of Multimedia Engineering, Mokpo National University, Jeonnam, South Korea" 3c8938fc1866121546f9cff0c3aa03a26fa7db6c,Hausdorff distance for template detection and efficient implementation on embedded systems,"Department of Biophysics and Electronics Engineering (DIBE), University of Genoa, Italy" 3c7825dcf5a027bd07eb0fe4cce23910b89cf050,Nonnegative Matrix Factorization with Integrated Graph and Feature Learning,"Southern Illinois University at Carbondale, IL, USA" -3c7825dcf5a027bd07eb0fe4cce23910b89cf050,Nonnegative Matrix Factorization with Integrated Graph and Feature Learning,"Yuncheng University, Shanxi Province, China" 3c7825dcf5a027bd07eb0fe4cce23910b89cf050,Nonnegative Matrix Factorization with Integrated Graph and Feature Learning,"University of Hawaii at Hilo, HI, USA" 3ce8b89c34a3d22659e65305a36cfa4685643d93,Feature Selection Embedded Subspace Clustering,"Department of Computer Science, Southern Illinois University Carbondale, Carbondale, IL, USA" 3cfc097ba6badb4f89a9591b950e65b60782589b,Predicting movie ratings from audience behaviors,"Queensland University of Technolgy, Australia" -3c531cd922bdf3f03fee12c82a77a7eaedc6734c,User identification approach based on simple gestures,"EMMi - Entertainment and Media Management Lab., Department of Business Information Management and Logistics, Tampere University of Technology (TUT), Tampere, Finland" -3c573f52d7df943ecb5d4b4e1fe835f7622df890,An Overview of Recent Advances in Assessing and Mitigating the Face Morphing Attack,"Otto-von-Guericke, University of Magdeburg, Magdeburg, Germany" 3c573f52d7df943ecb5d4b4e1fe835f7622df890,An Overview of Recent Advances in Assessing and Mitigating the Face Morphing Attack,"Bundesdruckerei GmbH, Berlin, Germany" -3c089b8175ebca4a3e2caa5b1291f1c39341414c,Beyond Memorability: Visualization Recognition and Recall,"Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)" 3c1416dd18bededa58d3ac6d2e1f3658ef6cf961,Active-vision system for multi-target surveillance,"Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada" -3c7d2ac29c867600d3bda5b356db76e3a5014a71,Decentralized particle filter for joint individual-group tracking,"University of Verona, Strada le Grazie, Verona, Italy" -3c5935ae10077287251c866d3ddac13768e90955,Uncertainty evaluation in face recognition algorithms,"DAEIMI, University of Cassino, Cassino (FR), Italy" 3c5935ae10077287251c866d3ddac13768e90955,Uncertainty evaluation in face recognition algorithms,"DIIn, Department of Industrial Engineering, University of Salerno, Fisciano (SA), Italy" 3c975c6af75d62336b6d90d2c920f82021726f68,A verify-correct approach to person re-identification based on Partial Least Squares signatures,"Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil, 31270-901" 3c63fa505a44902f13698ec10d7f259b1d0878ee,A Continuous Learning Framework for Activity Recognition Using Deep Hybrid Feature Models,"Department of CSE, University of California, Riverside, CA, USA" 3c63fa505a44902f13698ec10d7f259b1d0878ee,A Continuous Learning Framework for Activity Recognition Using Deep Hybrid Feature Models,"Department of ECE, University of California, Riverside, CA, USA" 3cba534f71e2201ea84487335acb685e349717c0,Establishing correspondence in distributed cameras by observing humans,"Joanneum Research Steyrergasse, Graz, Austria" -3c307cddf2bf84b4abcc96a362fe385c2d891c9b,A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter,"Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia" 3c8b65999388baad4342baf363e2b872bdabb564,Detecting pedestrians and vehicles in traffic scene based on boosted HOG features and SVM,"The Graduate School of Information, Production and Systems, Kitakyushu, Japan" -3c2b6282811c3077b7807d84068e6a879d163854,In silico modeling of smiling motions -aging in adulthood,"The Center for Advanced Medical Engineering and Informatics, Japan" 3c2b6282811c3077b7807d84068e6a879d163854,In silico modeling of smiling motions -aging in adulthood,"SHISEIDO CO., LTD. Beauty Solution Development Center, 3-9-1,Nishigotanda Shinagawa, Tokyo, 141-0031, Japan" 3c5338479915115edff232b2a871c2e73c971c14,Rapid discriminative detection for smart camera applications,"Object Video, Inc. 11600 Sunrise Valley Drive, Suite 290, Reston VA 20191, USA" 734e850ed1187a2abf91187c00a46c3ec172060c,Object categories detection with incorporated geometric context,"Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany" 73ba33e933e834b815f62a50aa1a0e15c6547e83,Invariant feature extraction for facial recognition: A survey of the state-of-the-art,"Sudan University of Science and Technology, College of Computer Science and Information Technology, Khartoum - Sudan" 73c4963d308bd54e61bc46544f4552aad5dd1d91,Data-driven enhancement of facial attractiveness,Academic College of Tel-Aviv-Yaffo -73c4963d308bd54e61bc46544f4552aad5dd1d91,Data-driven enhancement of facial attractiveness,The Hebrew University -7335de73c5607015779085dd990022efd67faf2c,Semi-supervised image classification with huberized Laplacian Support Vector Machines,"Centers of Excellence in Science and Applied Technologies, Islamabad, Pakistan" 7335de73c5607015779085dd990022efd67faf2c,Semi-supervised image classification with huberized Laplacian Support Vector Machines,"University of Regina, Regina, Canada" 73071addca7a387b8cc5762713a10b7347168a23,VAIS: A dataset for recognizing maritime imagery in the visible and infrared spectrums,"Gwangju Institute of Science and Technology, Buk-gu, South Korea" 732a7b1b43f3a235fb83f9961a74e463e5ad773d,Nonnegative Matrix Factorization with Earth Mover's Distance metric,"Computer Science dept. Technion, Haifa 32000, Israel" 73f56d17e91e54c9e4bc86477d01399f07792f79,Metrics for performance evaluation of elliptic extended object tracking methods,"Institute of Computer Science, University of Göttingen, Germany" 73f56d17e91e54c9e4bc86477d01399f07792f79,Metrics for performance evaluation of elliptic extended object tracking methods,"Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden" 73bfcee974aa6a5d589da07cf374a037bb0e3b75,Image coding with face descriptors embedding,"VIGpro Laboratory, The University of Kitakyushu, Japan" -73528766101a4577a48a8c03119c26fbb8228748,Fashion image classification using matching points with linear convolution,"National Institute of Technology Goa, Ponda, India" 730c523e478725676ecb0fa389af644baf80627e,Object tracking and recognition using massively parallel processing with CUDA,"Cybernetics Faculty, Military University of Technology, S. Kaliskiego 2, 00-908 Warsaw, Poland" 738c187d55745aac18d5fb5f6cc9e3568cd2d217,Exploring Pooling Strategies based on Idiosyncrasies of Spatio-Temporal Interest Points,"The Graduate Center, City University of New York, New York, NY, USA" -73f082696716e9ed0c04a7bac5e893a139a02a9c,Multiple-part based Pedestrian Detection using Interfering Object Detection,"Shanghai Jiaotong University, China" -738947f9b0bc50d1b7d5cbe84856bc18fcaee386,Deep learning-based human head detection and extraction for robotic portrait drawing,"Shenzhen Academy of Robotics, Shenzhen, Guangdong, China" -73dcb4c452badb3ee39a2f222298b234d08c21eb,Face recognition and facial expression identification using PCA,"Dept of Electronics and Communication, Manipal Institute Of Technology, Karnataka, India" -737649d6ce286b69df14c90635cda19a5a014139,Pose estimation and body segmentation based on hierarchical searching tree,"Department of Electronic Engineering Dalian University of Technology, China" 737649d6ce286b69df14c90635cda19a5a014139,Pose estimation and body segmentation based on hierarchical searching tree,"Digital Imaging & Mobile Devices Department Omron Cooperation, Kusatsu, Japan" 66f533bc88329decafc5ff171db0db2beca3446e,Tracklet association for object tracking,"School of Automatic, Nanjing University of Posts and Telecommunications, Nanjing, 210046" -6637404f65c0896d5b52265bcd4fa5433fea1db1,A robust recognition system for partially occluded faces,"King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia" -663a60841c3e703d7c18cf78f0657efee6aebb9d,A review of object detection based on convolutional neural network,"Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou 310018, China" 6601549a9f27233b4b21d9c1892efd40b055d74c,Structured class-labels in random forests for semantic image labelling,"Institute for Computer Graphics and Vision, Graz University of Technology - Austria" 6601549a9f27233b4b21d9c1892efd40b055d74c,Structured class-labels in random forests for semantic image labelling,"Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca' Foscari Venezia - Italy" 6624a89894990a9f5edb06feb9e4d5ce6147459f,Kriging-based prediction and interpolation for modeling pedestrian dynamics,"Chiba University, Japan" 66586f1d755362f485f25acfc60153c2a5ed1533,A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images,"Dept. SAMBA, orwegian Computing Center, P.O. Box 114 Blindern, NO-0314, OSLO, Norway" 66586f1d755362f485f25acfc60153c2a5ed1533,A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images,"Department of Physics and Technology, University of Norway, P.O. Box 114 Blindern, NO-0314, TromsØ, Norway" 66fc5015ba1039dbc557da2d9c4d914d11ae998e,Direct multi-scale dual-stream network for pedestrian detection,"POSTECH, Department of Electrical Engineering, Pohang, Korea" -6601a96220005883572fad5aa6b4632e413c8e5e,Recurrent learning of context for salient region detection,"College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China" -661e7e21f3db8c8faa6e4325f6c71377da7f188f,Multiple Object Class Detection with a Generative Model,"University of Surrey Guildford, UK" -662a88ad79e390c2436ee124f03c5b5763074498,Integrating Orientation Cue With EOH-OLBP-Based Multilevel Features for Human Detection,"College of Computer Science, Inner Mongolia University, Inner Mongolia, China" -662a88ad79e390c2436ee124f03c5b5763074498,Integrating Orientation Cue With EOH-OLBP-Based Multilevel Features for Human Detection,"Research and Development Department, AnKe Smart City Technology Company Ltd., Shenzhen, China" 667f41cb2db2a75e3060cdd3319f25f0c56bb57d,Real-time pedestrian detection system with novel thermal features at night,"Instrument Technology Research Center, National Applied Research Laboratories, Taiwan, Republic of China" -667f297e630c0073e692d232c4a6cb00d226e278,Model-free unified tracking and regulation visual servoing of nonholonomic mobile robots,"Institute of Robotics and Automatic Information System (IRAIS), Nankai University, Tianjin 300071, China" 667f297e630c0073e692d232c4a6cb00d226e278,Model-free unified tracking and regulation visual servoing of nonholonomic mobile robots,"School of Electrical and Electronics Engineering, Nanyang Technological University 639798, Singapore" -6670a64f6898accdb8cfc7aae50dee0af369c6a2,Local Representation of Facial Features,"Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland" -66a9c35828b1a4c264008a35fdb975a07c128fa2,Learning drone-control actions in surveillance videos,"Agency for Defense Development, Korea" 6681006eaa13e03d8cf87cf44797e87ffbe0826b,Assistive Intelligent Transportation Systems: The Need for User Localization and Anonymous Disability Identification,"Computer Engineering Department, University of Alcala, Alcala de Henares, 28805 Madrid, Spain" 6681006eaa13e03d8cf87cf44797e87ffbe0826b,Assistive Intelligent Transportation Systems: The Need for User Localization and Anonymous Disability Identification,"Computer Engineering Department, Universidad de Alcala de Henares, Madrid, Madrid, Spain" -6681006eaa13e03d8cf87cf44797e87ffbe0826b,Assistive Intelligent Transportation Systems: The Need for User Localization and Anonymous Disability Identification,"Computer Engineering, University of Alcala, Alcalá de Henares, 28806 Madrid, Spain" 6681006eaa13e03d8cf87cf44797e87ffbe0826b,Assistive Intelligent Transportation Systems: The Need for User Localization and Anonymous Disability Identification,"Signal Theory Department, Polytechnic School, University of Madrid, Spain" -66dd296261268061140f60b0cebec9580148c346,Beyond Group: Multiple Person Tracking via Minimal Topology-Energy-Variation,"National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China" -66dd296261268061140f60b0cebec9580148c346,Beyond Group: Multiple Person Tracking via Minimal Topology-Energy-Variation,"Fraunhofer Institute for Computer Graphics Research, Technology University of Darmstadt, Darmstadt, Germany" 66e5c4f051c49f0ce0d521c53864b211c6ae143b,Feature selection for spatially enhanced LBP: application to face recognition,"Signal Theory and Communications Department (DTSC), Carlos III University of Madrid (UC3M), Getafe, Spain" 66e5c4f051c49f0ce0d521c53864b211c6ae143b,Feature selection for spatially enhanced LBP: application to face recognition,"University of the Basque Country (UPV/EHU), Leioa, Spain" 66e5c4f051c49f0ce0d521c53864b211c6ae143b,Feature selection for spatially enhanced LBP: application to face recognition,"IKERBASQUE, Basque Foundation for Science, Bilbao, Spain" @@ -4391,31 +2593,14 @@ f8f14c0248a4974ce9a6226db81f9745a6b1ea97,Part based pedestrian detection based o 66129fbd2415a74c8b1063cf84ea5931b634d2a7,Spatiotemporal representation of driving scenarios and classification using neural networks,"Mercedes-Benz Research & Development North America, USA" 66129fbd2415a74c8b1063cf84ea5931b634d2a7,Spatiotemporal representation of driving scenarios and classification using neural networks,"Fortiss GmbH, affiliated institute of Technische Universität München, Munich, Germany" 66129fbd2415a74c8b1063cf84ea5931b634d2a7,Spatiotemporal representation of driving scenarios and classification using neural networks,"Technische Universität München, Munich, Germany" -80d109b71001d5184b34d48835a9bc00afdfa9ca,An efficient multi-feature SVM solver for complex event detection,"MOEKLINNS Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China" -80d109b71001d5184b34d48835a9bc00afdfa9ca,An efficient multi-feature SVM solver for complex event detection,"Beijing Etrol Technologies Co., Ltd., Beijing, China" 80a5afeb6968c7e736adc48bd4d5ec5b45b13f71,Beauty Technology,"Department of Informatics, Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil" 80a5afeb6968c7e736adc48bd4d5ec5b45b13f71,Beauty Technology,"Pontifical Catholic Univ of Rio de Janei, Department of Informatics, Rio de Janeiro, Brazil" 80e6c8a17b178786d0db50dc9c68ad68df7f1fe0,Semeoticons - reading the face code of cardio-metabolic risk,"Institute of Information Science and Technologies, ISTI-CNR, Pisa Italy" -80e6c8a17b178786d0db50dc9c68ad68df7f1fe0,Semeoticons - reading the face code of cardio-metabolic risk,"Institute of Clinical Physiology, IFC-CNR, Pisa, Italy" -80e6c8a17b178786d0db50dc9c68ad68df7f1fe0,Semeoticons - reading the face code of cardio-metabolic risk,"Foundation for Research and Technology - Hellas, FORTH, Crete, Greece" 80e6c8a17b178786d0db50dc9c68ad68df7f1fe0,Semeoticons - reading the face code of cardio-metabolic risk,"Linkoping University, Sweden" 80e6c8a17b178786d0db50dc9c68ad68df7f1fe0,Semeoticons - reading the face code of cardio-metabolic risk,"University of Central Lancashire, Preston, United Kingdom" -80e6c8a17b178786d0db50dc9c68ad68df7f1fe0,Semeoticons - reading the face code of cardio-metabolic risk,"Norwegian University of Science and Technology, Trondheim, Norway" -8004e5f2d50dde9c7210cd8956d26362c262d40f,The hierarchical high-speed neural network image classification algorithm for video surveillance systems,"Department of Computer Science and Telecommunications, National Research University of Electronic Technology (MIET), Zelenograd, Russia" -8004e5f2d50dde9c7210cd8956d26362c262d40f,The hierarchical high-speed neural network image classification algorithm for video surveillance systems,"Research and Development Center «ELVEES», Zelenograd, Russia" -8004e5f2d50dde9c7210cd8956d26362c262d40f,The hierarchical high-speed neural network image classification algorithm for video surveillance systems,"ELVEES NeoTek, JSC, Zelenograd, Russia" -80f281f4ac7e06d1741b91279de5b12a7a167e30,Eye location method based on Gabor wavelet and topographic feature extraction,"Information Engineering College, Central University for Nationalities, Beijing, 100081, China" -80f281f4ac7e06d1741b91279de5b12a7a167e30,Eye location method based on Gabor wavelet and topographic feature extraction,"Library of Xuchang University, Xuchang University, 461000, Henan, China" -80f281f4ac7e06d1741b91279de5b12a7a167e30,Eye location method based on Gabor wavelet and topographic feature extraction,"Department of Computer, Luo Yang Institute of Science and Technology, 471023, Henan, China" -80e9c28c369a6c49f9dd10473c663a25dc9716d5,EEG signal and video analysis based depression indication,"ECE, VIT University, VIT, Chennai, India" 8035e8796ed5bdd44477c523cd6b03f9adfa2d8e,Multimodal Feature Level Fusion based on Particle Swarm Optimization with Deep Transfer Learning,"Computing Department, Universidade Federal de Ouro Preto, Ouro Preto, MG, 35400-000, Brazil" 8035e8796ed5bdd44477c523cd6b03f9adfa2d8e,Multimodal Feature Level Fusion based on Particle Swarm Optimization with Deep Transfer Learning,"Department of Informatics, Federal University of Paraná, Curitiba, PR, 81531-990, Brazil" -80774ae06a562555cc1336da6004618cb9ea170c,Fusion of PHOG and LDP local descriptors for kernel-based ear biometric recognition,"School of Computer Engineering, KIIT University, Bhubaneswar, India" -80774ae06a562555cc1336da6004618cb9ea170c,Fusion of PHOG and LDP local descriptors for kernel-based ear biometric recognition,"Department of Information and Communication Technology, F. M. University, Balasore, India" -806bf27919283dd4db3aef8a64e053ca5052840d,The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field,"Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiaotong University" -8021235b11ef4d9495287a9d55047df08ae5a5e0,Data-driven light field depth estimation using deep Convolutional Neural Networks,"Tianjin Sharpnow Technology Co. Ltd., China" 80335a84eadccbff0ac8e0c8ed7eec6de289d756,A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure,"Department of Medicine, University of Massachusetts Medical School, Worcester, MA" -8060ae8621a20e5cbf6e974aab12ad34c37e9651,Intelligent surveillance system for abandoned luggage,"Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs" 8060ae8621a20e5cbf6e974aab12ad34c37e9651,Intelligent surveillance system for abandoned luggage,"Elektrik - Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs" 80d4cf7747abfae96328183dd1f84133023c2668,Face retrieval in face track using sparse representation,"Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan" 806aea24148fc2ef851803c216a0a25894d78bf4,Correlation filter based visual trackers for person pursuit using a low-cost Quadrotor,Nuremberg Institute of Technology Department of Computer Science @@ -4423,97 +2608,65 @@ f8f14c0248a4974ce9a6226db81f9745a6b1ea97,Part based pedestrian detection based o 808656563eea17470159e6540b05fe6f7ae58c2b,Classification with emotional faces via a robust sparse classifier,"Electric and Electronic Engineering Department, Bosphorus University, Istanbul, TR" 808656563eea17470159e6540b05fe6f7ae58c2b,Classification with emotional faces via a robust sparse classifier,"Computer Engineering Department, Yildiz Technical University, Istanbul, TR" 80fd7c92f6dc92c2a61c354c73dc483794e9bcab,Oriented Gradient Maps based automatic asymmetric 3D-2D face recognition,"Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, UMR5205, Lyon, 69134, France" -597bca76d9c983f0b71ff1143d80ea91bf97cb25,Semi-automatic video object segmentation by advanced manipulation of segmentation hierarchies,Disney Research Zurich 596e101d08b1972ca53e6ba8a5696eb8db5a3d55,Personal identification based on dorsal palm blood vessel pattern by texture feature,"Dept of IT, Bannari Amman Institute of Technology, Sathyamangalam" -593dc59fc8b89d5040be7fa5239755ab47b0e01d,Spatio-temporal elastic cuboid trajectories for efficient fight recognition using Hough forests,"VISILAB group, University of Castilla-La Mancha, Ciudad Real, Spain" 593dc59fc8b89d5040be7fa5239755ab47b0e01d,Spatio-temporal elastic cuboid trajectories for efficient fight recognition using Hough forests,"Department of Electrical and Electronic Engineering, University of Imperial College, London, UK" 59c6c201e1e41c470c446e2762a156051c5107ae,Image Selection in Photo Albums,"Technicolor, IRISA, University of Rennes 1, Rennes, France" 59c6c201e1e41c470c446e2762a156051c5107ae,Image Selection in Photo Albums,"IRISA, University of Rennes 1, Rennes, France" 592805ef819c0adebea32a57f16ca7c08e0b5877,Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis,"Seminar for Applied Mathematics, ETH, Zürich, Zürich, Switzerland" 592805ef819c0adebea32a57f16ca7c08e0b5877,Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis,"Signal Processing Laboratory (LTS4) EPFL-FSTI-IEL-LTS4, Lausanne" 59448d96cff9825d86e50d931fbb576e008efbe7,Hausdorff Metric based Feature Extractor,"Sri Sathya Sai Institute of Higher Learning, Prasanthinilayam, AP, India. 515134" -59448d96cff9825d86e50d931fbb576e008efbe7,Hausdorff Metric based Feature Extractor,"KLA-Tencor Software India Private Limited, Chennai, India 600096" -59448d96cff9825d86e50d931fbb576e008efbe7,Hausdorff Metric based Feature Extractor,"Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, AP, India, 518001" -5981c309bd0ffd849c51b1d8a2ccc481a8ec2f5c,SmartFace: Efficient face detection on smartphones for wireless on-demand emergency networks,"Department of Electrical Engineering and Information Technology, TU Darmstadt, D-64283, Germany" 59307b897ef4cc4bde2d2393f97310e7d89998ef,Can humans fly? Action understanding with multiple classes of actors,"Statistics, University of California, Los Angeles, USA" 592173bf31727dc67ae1c7927f1f82ae940b2b31,Simulation of Parallel Processing for Distributed Multi-Target Tracking in Smart Camera Networks,"Shahid Beheshti University, Computer Engineering Department, Shahid Beheshti University, Tehran, Iran" 592173bf31727dc67ae1c7927f1f82ae940b2b31,Simulation of Parallel Processing for Distributed Multi-Target Tracking in Smart Camera Networks,"University of Tehran, Department of Management and Accounting, University of Tehran, Tehran, Iran" 5998a015a5f1b72761256759808f9529a7717058,A deep transfer learning approach to fine-tuning facial recognition models,"School of Computing, The University of Southern Mississippi, Hattiesburg, MS, USA" 5998a015a5f1b72761256759808f9529a7717058,A deep transfer learning approach to fine-tuning facial recognition models,"Environmental Lab, US Army Engineer Research and Development Center, Vicksburg, MS, USA" 59c21f5a24d0b408d528054b016915236bb85bf2,Semi-automatic annotation tool for sign languages,"National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan" -5999930ce9a93704fc40855eb4790e831e54f966,Human skin detection and face recognition using fuzzy logic and eigenface,"Dept. of Elect. & Comm. Engg., Birla Institute of Technology, Mesra, Ranchi, India" 5987fe1cac83ab8b2413dc53c7fea9df15a096e8,Al-Masjid An-Nabawi Crowd Adviser Crowd Level Estimation Using Head Detection,"Department of Computer Science, Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia" 5990c2e78394388e8a81a4b52baf35c13b22d2c9,Smartphone posture monitoring system to prevent unhealthy neck postures,"School of Information Technology, Computer Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand" 5960888c4de94c7caae1527e9f0cd1fb13dff808,Robust Graph Regularized Nonnegative Matrix Factorization for Clustering,"Southern Illinois University at Carbondale, Carbondale, IL" 5960888c4de94c7caae1527e9f0cd1fb13dff808,Robust Graph Regularized Nonnegative Matrix Factorization for Clustering,"University of Hawaii at Hilo, Hilo, HI" 594ec0a7839885169c65133cfe50164d4cc74b5c,Automated and objective action coding of facial expressions in patients with acute facial palsy,"Department of Computer Science, Friedrich Schiller University, Jena, Germany" 594ec0a7839885169c65133cfe50164d4cc74b5c,Automated and objective action coding of facial expressions in patients with acute facial palsy,"Department of Otorhinolaryngology, University Hospital Jena, Jena, Germany" -594ec0a7839885169c65133cfe50164d4cc74b5c,Automated and objective action coding of facial expressions in patients with acute facial palsy,"Facial Nerve Center, University Hospital Jena, Jena, Germany" -59ce048ce1f01704f37d2d60e033c3382118ecad,Obtaining three-dimensional trajectory of multiple fish in water tank via video tracking,"Jingdezhen Ceramic Institute, Jingdezhen, China" -59f788c69c2ce520fd6f0b80d01aca72f7f8d859,Facial expression recognition using Stochastic Neighbor Embedding and SVMs,"School of Information Engineering, Wuyi University, Jiangmen, Guangdong, China" 7eb8476024413269bfb2abd54e88d3e131d0aa0e,Hybrid-Boost Learning for Multi-Pose Face Detection and Facial Expression Recognition,"Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan" 7eb8476024413269bfb2abd54e88d3e131d0aa0e,Hybrid-Boost Learning for Multi-Pose Face Detection and Facial Expression Recognition,"Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan; Informatics Department, Fo-Guang University, I-Lan, Taiwan. e-mail: clhuang@ee.nthu.edu.tw" 7eb8476024413269bfb2abd54e88d3e131d0aa0e,Hybrid-Boost Learning for Multi-Pose Face Detection and Facial Expression Recognition,"Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan. e-mail: chihming.fu@gmail.com" -7e242d08aea74eaf71bba3981ea778f834891540,Human ear recognition based on deep convolutional neural network,"College of software, University of Science and Technology Liaoning, Anshan, 114051, China" 7ec16949adf6ea78054f6c6512f332a86960b91f,Computer Vision – ECCV 2016,"RWTH Aachen, Aachen, Germany" 7eb8b748154167e8c8ef1e61b24e5369e057b03e,An efficient technique for image contrast enhancement using artificial bee colony,IIT Indore-452020 India 7ed4d134e1910ded71697aa7420f2fb720596d4b,PCCA: A new approach for distance learning from sparse pairwise constraints,"GREYC, CNRS UMR 6072, Université de Caen, France" -7e2f7c0eeaeb47b163a7258665324643669919e8,Classifying advertising video by topicalizing high-level semantic concepts,"Institute of Life Sciences, Shandong Normal University, Jinan, China" 7e2f7c0eeaeb47b163a7258665324643669919e8,Classifying advertising video by topicalizing high-level semantic concepts,"School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, People’s Republic of China" -7e2f7c0eeaeb47b163a7258665324643669919e8,Classifying advertising video by topicalizing high-level semantic concepts,"Key Laboratory of Intelligent Information Processing, Shandong Normal University, Jinan, China" 7e37ac2a1e70ba2acdb9a563267431cf4cbd5eb8,"Designing & developing QueBall, a robotic device for autism therapy","Faculty of Computer Science, Bishop's University, Sherbrooke, Québec, Canada" -7e37ac2a1e70ba2acdb9a563267431cf4cbd5eb8,"Designing & developing QueBall, a robotic device for autism therapy","Faculty of Computer Science, University of Hertfordshire, Hatfield, U.K." 7e37ac2a1e70ba2acdb9a563267431cf4cbd5eb8,"Designing & developing QueBall, a robotic device for autism therapy","Dept of Electrical Engineering and Computer Engineering, Université de Sherbrooke, Quebec, Canada" 7ea84857f29df907e6e605b19ff6c45cefb396d7,Visual system for student attendance monitoring with non-standard situation detection,"Department of Computers and Informatics, Košice, Slovakia" 7eb8a3b55bb02867b959461e3577a2d6f22fda49,Real-time acquisition of high quality face sequences from an active pan-tilt-zoom camera,"Visual Analysis of People Laboratory, Aalborg University (AAU), Aalborg, Denmark" -7ed88b4444de20cda76cd73f7374ccb76e753002,Feature selection method with common vector and discriminative common vector approaches,"Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Turkey" 7edb08d07fec2d4eaadedfa2b4e07afaedea4807,Using Haar classifiers to detect driver fatigue and provide alerts,"Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia" 7edb08d07fec2d4eaadedfa2b4e07afaedea4807,Using Haar classifiers to detect driver fatigue and provide alerts,"Department of Computer Science and Information, Institute of Statistical Studies and Research, Cairo University, Cairo, Egypt" -7edb08d07fec2d4eaadedfa2b4e07afaedea4807,Using Haar classifiers to detect driver fatigue and provide alerts,"Deanship of E-learning and Distance Education, Umm AL-Qura University, Mecca, Saudi Arabia" 7e48711c627edf90e9b232f2cbc0e3576c8f2f2a,Energy transfer features combined with DCT for object detection,"FEECS, Department of Computer Science, Technical University of Ostrava, Ostrava-Poruba, Czech Republic" -7e90e316819f220aa728dc1ddf73cf1d90e0af33,Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information,"Center for OPTical IMagery Analysis and Learning and Xi'an Institute of Optics and Precision Mechanics, Xi'an, China" 7ed2aaab9d812048a60ab22e609b1ebb5cc86809,A proposal for improving the performance of face recognition systems based on 3d features,"Department of Electrical and Information Engineering, University of Cassino and of Southern Lazio, (FR), Italy" 7ed2aaab9d812048a60ab22e609b1ebb5cc86809,A proposal for improving the performance of face recognition systems based on 3d features,"Department of Mechanical Engineering, Politecnico di Milano, Italy" 7ed2aaab9d812048a60ab22e609b1ebb5cc86809,A proposal for improving the performance of face recognition systems based on 3d features,"Department of Industrial Engineering, University of Salerno, Fisciano, Italy" -7ec431e36919e29524eceb1431d3e1202637cf19,Object detection and tracking in crowd environment — A review,"Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India" 7e5fc58d742ac5fbc16c3e33284c08fe9d9556ec,Meerkat: A framework for developing presence monitoring software based on face recognition,IP-based Communication Laboratory 7e5fc58d742ac5fbc16c3e33284c08fe9d9556ec,Meerkat: A framework for developing presence monitoring software based on face recognition,"Data and Knowledge Engineering Laboratory, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand" -7eb145b301a78d6006cb2c560f9368553101659c,Editing by Viewing: Automatic Home Video Summarization by Viewing Behavior Analysis,"Insititute of Information Science, Academia Sinica, Taipei, Taiwan" 7ecde1ae3fdb767dac5e406da4527b050d6b408f,Where is my friend? — Person identification in social networks,"Department of Electrical Engineering & Computer Sciences, UC Berkeley" 7ecde1ae3fdb767dac5e406da4527b050d6b408f,Where is my friend? — Person identification in social networks,"Department of Computer Science, IIT Kanpur" 7e528ff6b6c6e38aaf4ca01b046523fb23debe45,Kinship verification using facial dynamics,"Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, ˙Istanbul, Türkiye" -7ecbc1b186b4b2f6f6ea786572252984f1deb667,Mining exoticism from visual content with fusion-based deep neural networks,"Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany" 7e63dc2831c93437cc3a6f1b80722669fdfef051,Elastic radial curves to model 3D facial deformations,"LIFL University of Lille 1, Lille, France" 7e63dc2831c93437cc3a6f1b80722669fdfef051,Elastic radial curves to model 3D facial deformations,"LIFL University of Lille 1, Telecom Lille 1 institut telecom, Lille, France" -7e63dc2831c93437cc3a6f1b80722669fdfef051,Elastic radial curves to model 3D facial deformations,"FSU, Tallahassee, Tallahassee, FL, USA" -7ee7b0602ef517b445316ca8aa525e28ea79307e,Emotion detection through fusion of complementary facial features,"ECE, Department MSIT, C-4 Janakpuri, New Delhi, India" -7ee7b0602ef517b445316ca8aa525e28ea79307e,Emotion detection through fusion of complementary facial features,"B. Tech Graduate, ECE, MSIT, C-4 Janakpuri, New Delhi, India" -7eae1076f95bd2a16d2901003fbc2e7441c80a56,Description and retrieval of 3D face models using iso-geodesic stripes,"University of Firenze, Firenze, Italy" 7e5aa453a21f56737db5e02d540f1b70ee6634ad,Painting style classification in Persian Miniatures,"Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G.C., Evin 1983963113, Tehran, IRAN" 7e1a8659fa224e2734450cf33cabd194e2c8f2aa,CogniLearn: A Deep Learning-based Interface for Cognitive Behavior Assessment,"The University of Texas at Arlington, Arlington, TX, USA" -7e8870d626d8ff3a2d8bc970390a7b130acfcb99,Fuzzy Local Mean Discriminant Analysis for Dimensionality Reduction,"Faculty of information and engineering institute, Yangzhou University, Yangzhou, People’s Republic of China" -7ed5af241061a6d88e0632a51a91d59627b00c34,Development and testing of a LBP-SVM based teeth visibility recognizer,"School of Electrical Engineering, Yanshan University, Qinhuangdao, China" ae388375ae56f4e455f4c18eac2ac2e48a5f47d2,Benchmarking the Grasping Capabilities of the iCub Hand With the YCB Object and Model Set,"Instituto de Sistemas e Robótica, Lisbon, Portugal" ae1f9177082d209e70e6f40502b9b6b0529c7862,Recognition of expression variant faces using weighted subspaces,"Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA" ae4577f3a49ee56ea1c80f6884012c416d083ee5,Adaptive estimation of inlier and outlier threshold,"Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea" -aee92d9db9c313e321336e53a6097c57cc0853ab,Locally Assembled Binary feature with feed-forward cascade for pedestrian detection in intelligent vehicles,"College of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China" -ae6e8ad5bce62d2f93ae3a039368f4e90c83922b,A novel method for image classification,"School of Automation, Nanjing University of Post and Telecommunications, 210046, China" ae922364835393d0fd471c365b2eb025f28cf701,Active Shape Models with Invariant Optimal Features: Application to Facial Analysis,"Department of Technology, Pompeu Fabra University, Barcelona, Spain" -ae922364835393d0fd471c365b2eb025f28cf701,Active Shape Models with Invariant Optimal Features: Application to Facial Analysis,"Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain" ae62c0a4b74ce672e8103dbf6d344d82c59f216c,Face Detection with Expression Recognition using Artificial Neural Networks,"American University of Science & Technology, Department of Mechatronics Engineering, Faculty of Engineering, Beirut, Lebanon" ae62c0a4b74ce672e8103dbf6d344d82c59f216c,Face Detection with Expression Recognition using Artificial Neural Networks,"American University of Science & Technology, Department of Computer and Communications Engineering, Faculty of Engineering, Beirut, Lebanon" ae87400ac2b1f1d11b2a9cc1b5bf2a2a155fbba6,A UAV-based Forest Fire Detection Algorithm Using Convolutional Neural Network,"Xi'an University of Technology, Xi'an, 710048, P. R. China" ae6eb5fdef7fa235379cd741a79cdcc2f7102453,Software-defined PMC for runtime power management of a many-core neuromorphic platform,"School of Computer Science and Electronic Engineering, University of Essex, United Kingdom" -ae03cfed10cb1dbd0328d70dc84789dd141ef1a3,On pain assessment from facial videos using spatio-temporal local descriptors,"Department of Information Science and Technology, Northwest University, Xi'an, China" ae03cfed10cb1dbd0328d70dc84789dd141ef1a3,On pain assessment from facial videos using spatio-temporal local descriptors,"Centre de Developpement des Technologies Avancees, Algeria" ae9efe3990ddb6169286f50ee4325ffb0b3dcfa7,Adaptive Skin Classification Using Face and Body Detection,"Department of InformaticsSystems and Communication, University of Milano–Bicocca, Milan, Italy" ae88996aad98bfa49a49d653fd9476e5982e982c,Efficient Group-n Encoding and Decoding for Facial Age Estimation,"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, P. R. China" ae3d92c64806e54d1a4b98792894b7693d12e3d8,Personalized Serious Games for Cognitive Intervention with Lifelog Visual Analytics,"Singapore Bioimaging Consortium, A*STAR, Singapore, Singapore" 6049a381a0b79a90344306a885f118b47936ac9f,Occlusion-robust model learning for human pose estimation,Nara Institute of Science and Technology 60c43614331eef0e2a8d8b303f61ee9681294647,Insatiate boosted forest: Towards data exploitation in object detection,Bergischen Universitat Wuppertal -60c43614331eef0e2a8d8b303f61ee9681294647,Insatiate boosted forest: Towards data exploitation in object detection,Delphi Deutschland GmbH -609cadcb4d7fe32d616f8e778b7fac9dd578bd81,Moving object tracking using Laplacian-DCT based perceptual hash,"Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, India 826004" -6005a30bf103164fe3410185976b6b8b36537aca,"Communication, Networks and Computing","ITM University, Gwalior, India" 6028f819adb0e79e8b846f4ff52fc7f1d4ee5711,RGB-D Human Detection and Tracking for Industrial Environments,"Southwest Research Institute, San Antonio, USA" 604a281100784b4d5bc1a6db993d423abc5dc8f0,Face Verification Across Age Progression Using Discriminative Methods,"Computer Science Department, University of California, Los Angeles, CA, USA" 60acfe1311d3e624287321256eca4adef5f77ce8,An automatic physical access control system based on hand vein biometric identification,"School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK" @@ -4524,167 +2677,96 @@ ae3d92c64806e54d1a4b98792894b7693d12e3d8,Personalized Serious Games for Cognitiv 60e7831264573be83d9e34a0cf4fc9780a04495e,Psycho-physiological implications of computer based social and non-social interactive tasks for children with autism,"Department of Electrical Engineering, IIT Gandhinagar, Gandhinagar, Gujarat, India-382355" 601655a17ca199ef674079482c9b37cdf8e094a9,Face filtering — Insights from real-world data,"Bahirdar Institute of Technology, Bahir Dar, Ethiopia" 60f1f1c56ff4e607bb34cf0e1407ebeadc864817,Fast object detection based on color histograms and local binary patterns,"Wireless Personal Network Team, Electrics and Telecommunications Research Institute, Deajeon, South Korea" -60f980b1f146d659f8f8f0b4755ae2d5df64ca8d,Automatic focus personage identification in multi-lingual news image,"Xi'an Polytechnic University, Xi'an, China" -60f980b1f146d659f8f8f0b4755ae2d5df64ca8d,Automatic focus personage identification in multi-lingual news image,"Xi'an University of Science and Technology, Xi'an, China" 6020b69bc6834dc905d26c91be165c29de8347be,Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality?,"Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute Wako-shi, Saitama, 351-0198, Japan" 60e1b0d8682ddb1eaee8f6deacaa7c8dd4c908fa,Kinship verification from face images in discriminative subspaces of color components,"Laboratory of LESIA, University of Biskra, Biskra, Algeria" 60e1b0d8682ddb1eaee8f6deacaa7c8dd4c908fa,Kinship verification from face images in discriminative subspaces of color components,"Laboratory of LGEB, University of Biskra, Biskra, Algeria" -60e1b0d8682ddb1eaee8f6deacaa7c8dd4c908fa,Kinship verification from face images in discriminative subspaces of color components,"IEMN DOAE UMR CNRS 8520 Laboratory, Polytechnic University of Hauts-de-France, Famars, France" 601bed4ec12d11e4230dc715bf871de580f3b917,Visual Object Tracking Based on Backward Model Validation,"Department of Computer Science, Kuwait University, Safat, Kuwait" -600ef88c6cf44b05e3812d468e34f51cc62529d3,Touchless typing with head movements captured in thermal spectrum,"Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland" 603a282933dd7cc2bf012df66d1a24f6d7d0c0ae,Probability estimation for pedestrian crossing intention at signalized crosswalks,"Graduate School of Information Science and Technology The University of Tokyo, Tokyo, Japan" 603a282933dd7cc2bf012df66d1a24f6d7d0c0ae,Probability estimation for pedestrian crossing intention at signalized crosswalks,"Institute of Industrial Science The University of Tokyo, Tokyo, Japan" 602072750ce931fd592ee0ea6d968ba9746fe34c,RGB-D and laser data fusion-based human detection and tracking for socially aware robot navigation framework,"University of Brunei Darussalam, The More-Than-One Robotics Laboratory, Brunei Darussalam" 602072750ce931fd592ee0ea6d968ba9746fe34c,RGB-D and laser data fusion-based human detection and tracking for socially aware robot navigation framework,"University of Brunei Darussalam, Faculty of Science, Brunei Darussalam" 60bdff71e241f9afc411221bd20aaebb4608576b,Facial expression recognition using local Gabor filters and PCA plus LDA,"Faculty of Information Technology, King Mongkut's Instituteof Technology Ladkrabang, Bangkok, Thailand, 10520" -609d81ddf393164581b3e3bf11609a712ac47522,Fuzzy qualitative approach for micro-expression recognition,"Faculty of Computing and Information Technology, Setapak, Malaysia" -a5df78ad005a605ed762e64f47ff9af0df595703,Efficient local filter bank with over complete spatiotemporal pooling in action recognition,"Science and Technology on Electro-optic Control Laboratory, Luoyang,471009,China" a59c0cf3d2c5bf144ee0dbc1152b1b5dd7634990,Big Data Analysis for Media Production,"Department of Computer Graphics and Multimedia, University of Brno, Brno, Czech Republic" a5fa91dbc72f200970e70debe88375b71ddef40b,A new performance measure and evaluation benchmark for road detection algorithms,"Honda Research Institute Europe GmbH, Offenbach am Main, Germany" a5fa91dbc72f200970e70debe88375b71ddef40b,A new performance measure and evaluation benchmark for road detection algorithms,"Max Planck Institute for Intelligent Systems in Tübingen, Germany" -a57b37549edba625f5955759e259e52eb0af8773,On deep generative models with applications to recognition,"Institute for Neural Computation University of California, San Diego" -a54d63c1a8c4db3c5034b1fdb08526459bb3c0b1,Multi-Gait Recognition Based on Attribute Discovery,"Guangzhou, China" a5e436bb88ff28c68f981308faefd6eee48b9c8b,Facial expression recognition using two-tier classification and its application to smart home automation system,"Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan" a513977bcd8cecd2ed1836bf91b31a80a1ebe27b,Person identification by face recognition on portable device for teaching-aid system: Preliminary report,"Department of Computer Science and Engineering Toyohashi University of Technolog Toyohashi, Japan" -a5ae44070857aa00e54ea80394a04fda412b335c,Scene Text Recognition using part-based TSM and Soft Output Viterbi Algorithm,"Department of Computer Science and Engineering, P.A. College of Engineering and Technology, Pollachi, Tamilnadu, India" -a5a00debc37bc250f35b5990f5edc658518916cd,Expression recognition with appearance-based features of facial landmarks,"Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir" -a53c907114b909709780d116acd00dffde3aecab,Reliable pedestrian recognition combining high-definition LIDAR and vision data,"Road Environment Perception Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan" a53c907114b909709780d116acd00dffde3aecab,Reliable pedestrian recognition combining high-definition LIDAR and vision data,"Department of Computer Science and Engineering, Toyohashi University of Technology, Aichi 441-8580, Japan" a5ec50c3f268ec68d49acd31e850cb69b65c5a5a,${\rm C}^{4}$: A Real-Time Object Detection Framework,"iRobot Corporation, Bedford, MA, USA" a56b0f76919aabe8b768f5fbaeca412276365aa2,Morphable face reconstruction with multiple images,"Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore" a58817ac72b96d06e062b5e13e674ff1871df17e,Deep Learning for Image Memorability Prediction: the Emotional Bias,"Université de Nantes, France, Nantes, France" a522ca53d9ed5e80314f998cf6719e55e0f36b6e,Pre-Consulting Dialogue Systems for Telemedicine: Yes/No Intent Classification,"Kyushu Institute of Technology, Tobata, Kitakyushu, Fukuoka, Japan" -a53ffc7a9ca049cf265dc37c818b6283f56b6dbc,Camera calibration parameters for oriented person re-identification,"University of Alcalá, Alcalá de Henares, Spain" a53ffc7a9ca049cf265dc37c818b6283f56b6dbc,Camera calibration parameters for oriented person re-identification,"University Blaise Pascal, Aubière, France" 838ebcd2e57c319066d021eb51b5f0f18546d430,Person Reidentification Using Deep Convnets With Multitask Learning,"Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K." 83b723f1f22a04c0771017a03eb936378f3e3ebf,Real time recognition of human faces,"Quaid-i-Azam University, Islamabad, Pakistan" 83b723f1f22a04c0771017a03eb936378f3e3ebf,Real time recognition of human faces,"Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan" -8332aee6713d77aad7224e81a2ce8bc31737ee64,Probabilistic error model for a lane marking based vehicle localization coupled to open source maps,"Université Paris-Sud, 91405, Orsay, FRANCE" 830a532ca99fb9d8527dcfbac2d4003b4dd98eb7,Scheduling Large-scale Distributed Training via Reinforcement Learning,SenseTime Research 831a016b31d8ecb2c017acae3d8fe2c31d5c7873,Image memorability prediction using deep features,"Department of Computer Engineering, Yazd University, Iran" 831a016b31d8ecb2c017acae3d8fe2c31d5c7873,Image memorability prediction using deep features,"Department of Electrical Engineering, Yazd University, Iran" 831a64f59944fa05f023288f284325429026e4e8,Biometric systems simulations performing close to real world conditions,"EUP Mataro, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN" 83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e,Supervised hierarchical Pitman-Yor process for natural scene segmentation,"ICSI, UC Berkeley" 83b2dc1b81e5dd420bc030a8d67b5ed36b5b0c5e,Supervised hierarchical Pitman-Yor process for natural scene segmentation,TTI Chicago -831a87c47f9f46eb9734b9ca0ad076e666d76e88,Geometric Correspondence Network for Camera Motion Estimation,"Centre for Autonomous Systems at KTH Royal Institute of Technology, Stockholm, Sweden" 838d5022c381c593cdfd4fb5c99a019fe39d94d9,Compressing arrays of classifiers using Volterra-neural network: application to face recognition,"CONICET, CIDISI-UTN-FRSF, Santa Fe, Argentina" 838d5022c381c593cdfd4fb5c99a019fe39d94d9,Compressing arrays of classifiers using Volterra-neural network: application to face recognition,"CONICET, SINC(i)-FICH-UNL, Ciudad Universitaria, Santa Fe, Argentina" -83e5d6b25f33bd06784b7aff437f39f45dbc7d87,Empowering Low-Latency Applications Through a Serverless Edge Computing Architecture,"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy" -83272537fc29345d32f68a8ab37e4170df10d3bb,Automatic clothes segmentation for soft biometrics,"SIANI - Universidad de Las Palmas de Gran Canaria, Spain" 83984fecbf4dac1a6399c57e147015935d7c60a3,Information retrieval in metal music sub-genres,"Bilgisayar Mühendisliği Bölümü, Başkent Üniversitesi, Ankara, Türkiye" 83a715e33a789104d4c21773555e66b913c32921,The Congruent Facelift,"Formerly Repatriation General Hospital Concord, Sydney, Australia" 83a715e33a789104d4c21773555e66b913c32921,The Congruent Facelift,"Private Practice, Auckland, New Zealand" 83a715e33a789104d4c21773555e66b913c32921,The Congruent Facelift,"The University of Auckland, Auckland Bioengineering Institute, Auckland, New Zealand" 83ed55f6a5d95a4fd8c92ca912cf216e92ec303d,A Framework for Weighted Fusion of Multiple Statistical Models of Shape and Appearance,"Computational Imaging Lab, Department of Technology, University Pompeu Fabra, Barcelona, Spain" -83bad2dd911128071c72ed4e27e75921b56a2d1f,Joint Boosting Feature Selection for Robust Face Recognition,"Microsoft Research Asia, Beijing, 100080, P. R. China" 83bd4c43468883d4100b38b4f4013731790cd7f0,Ground truth annotation of traffic video data,"ITeam, Universitat Politècnica de València, Valencia, Spain" 8329a7990f72caea211537443b618e6167893b4d,Target detection on high-resolution SAR image using Part-based CFAR Model,"Institut Telecom, Telecom Paris, LTCI, France" 83518f2075996b980d412cf64d833ae58cc8c0e4,Online multiple object tracking via flow and convolutional features,"Panasonic Silicon Valley Laboratory, USA" -83fd51e4938ce22671152e8c63867d07d0c41686,Emotional Recognition System by Facial Land Marking Analysis,"University of Petroleum and Energy Studies, Dehradun, India" -83cf8f2866d030ff3583c4f92b00c27e43647f0c,Stationary Detection of the Pedestrian?s Intention at Intersections,"Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany" -83cf8f2866d030ff3583c4f92b00c27e43647f0c,Stationary Detection of the Pedestrian?s Intention at Intersections,"Computer Science, Friedrich-Alexander Universitat Erlangen-Nurnberg, Erlangen, Germany, Germany" -83cf8f2866d030ff3583c4f92b00c27e43647f0c,Stationary Detection of the Pedestrian?s Intention at Intersections,"Active and passive safety vehicle system development, Continental Safety Engineering International GmbH, Alzenau, Bayern, Germany" 83cf8f2866d030ff3583c4f92b00c27e43647f0c,Stationary Detection of the Pedestrian?s Intention at Intersections,"Measurement, Control and Mircotechnology , University of Ulm, Ulm, 89075 Germany, Germany" -94798668ce20e71aed77430a8aae08c760e71b53,Pose invariant face recognition based on hybrid-global linear regression,"Department of Electrical Engineering, IIT, Roorkee, India" -942fd0b406fe1d24b50d745cd31fd31220c78f0c,Discriminative graph regularized broad learning system for image recognition,"Dalian Maritime University, Dalian, China" 94d8de8793aa6c0e1a9fcf14e73e3860690c727f,Image context classification based on visual codebook feature boosting,"Computer Science Department, Technical University of Cluj Napoca" 94f9e361fe06c567a29ccce81273bb85d66e342e,A two-stage detector for hand detection in ego-centric videos,Tencent 94ed45f469390a58bcf95fb6725b6715743eb89c,Identifying universal facial emotion markers for automatic 3D facial expression recognition,"School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia" -9492e93d4ceba8b4d95efbe38f844efd34a95222,Locality-Constrained Double Low-Rank Representation for Effective Face Hallucination,"Key Laboratory of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China" -94dd0797904df022f687448cc429b6233df7be4b,Local salient patterns — A novel local descriptor for face recognition,"Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, Institute of Automation, CAS, Beijing, China" 94dd0797904df022f687448cc429b6233df7be4b,Local salient patterns — A novel local descriptor for face recognition,"Advanced Technologies Application Center (CENATAV), 7a # 21812 b/218 and 222, Siboney, Playa, Havana, Cuba" 944e0d37937f799b70a206628d22ceca52feed3b,Multimodal Biometrics of Lip Movements and Voice using Kernel Fisher Discriminant Analysis,"NTT Data Corporation, Kayabacho Tower, 1-21-2 Shinkawa, Chuo-ku, Tokyo 104-0033, Japan. Email: sakanoh@nttdata.co.jp" 9472338240929e1ed38e52e029dbfa85a42ae095,Memristive Fully Convolutional Network: An Accurate Hardware Image-Segmentor in Deep Learning,"Texas A & M University at Qatar, Doha, Qatar" -94bc017ea8795c774c9dd572ee44673a51dc631f,Appearance and structural motion context for multi-target tracking in aerial video,"National University of Defense Technology (NUDT), Changsha, China" -945cde41f10215678f6d94ef196aa7fd5ec3cdac,Facial image processing in conjunction with password for intelligent access control,"Speech and Image Processing Research Lab, Department of Electronics and Communication Engineering, National Institute of Technology Silchar, 788010, Assam, India" -94e378a1ee5fc205272c3fcfb46ca04a1a9916c4,Extremely Overlapping Vehicle Counting,"GRAM, University of Alcalá, Alcalá de Henares, Spain" 94ac0bdc3fc106006a69f294647a3dc2ecaff532,Strategy for improving the reliability in the facial identification,"Dpto. de Senales y Comunicaciones, Univ. de Las Palmas de Gran Canaria, Spain" -9408e93f12fa536854a71e2875030a7b2f67341f,Automatic speechreading with application to speaker verification,"Motorola Human Interface Labs, Tempe, Arizona 85284, USA" 94e6d270f96778856991ec66ffcbef731957ef12,Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures,"Department of Applied Mathematics and Analysis, Universitat de Barcelona, Barcelona, Spain" 949fff3b0a73c81e7ff3d47caf7fbf9c664bcc70,Real time automated facial expression recognition app development on smart phones,"Department of Electrical and Computer Engineering, Brunel University London, UB8 3PH, UK" -9466232ccee3ea887330d90243d8e164426971a0,Very low resolution face recognition using fused visual and texture features,"Multimedia and Information Security Laboratory, ABV-Indian Institute of Information Technology and Management, Gwalior, India, 474015" 9466232ccee3ea887330d90243d8e164426971a0,Very low resolution face recognition using fused visual and texture features,"Dept. of Electronics and Communications Engineering, R. J. I. T. Takenpur, Gwalior-475005" -94473e8aeb99b1b374975cfbca014c948c7afd95,Face recognition using Shearlets,"Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India" -940e5c45511b63f609568dce2ad61437c5e39683,Fiducial Facial Point Extraction Using a Novel Projective Invariant,"School of Mathematics and Computer Sciences, Gannan Normal University, Ganzhou, China" 94ead515ed260ed54b1b9df3b63d548e368be801,LBP based on multi wavelet sub-bands feature extraction used for face recognition,"The University of Buckingham, Buckingham, MK18 1EG, UK" -feb0bd4ad219dc5005da84561b97ae53f4207440,Facial expression recognition based on ISOMAP,"Industry Centre, Shenzhen polytechnic, Shenzhen, China" -fea8ccdb0ea1a8d20acba1f359e2345164602576,Textured 3D face recognition using biological vision-based facial representation and optimized weighted sum fusion,"Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France" fe5b731604bf7da5e64fcea99b065c6c54474504,Solving the face growth problem in the biometrie face recognition using Photo-Anthropometric ratios by iris normalization,Department of Computer Science - University of Brasilia - Brazil fe5b731604bf7da5e64fcea99b065c6c54474504,Solving the face growth problem in the biometrie face recognition using Photo-Anthropometric ratios by iris normalization,Department of Federal Police - Brasilia - Brazil fedfc6915e2abcad08aeb9eed33dd3d1d20bf971,Biometric zoos: Theory and experimental evidence,"Information Access Division, NIST, Gaithersburg, MD, USA" febe8057efcf51d189a1d85f1c32250dea6d13ee,Vision-based robust road lane detection in urban environments,"Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Robot and Assistive Systems Department, Nobelstraße 12, 70569 Stuttgart, Germany" -fe2d4ec5f7cbb0a96c5dc63003fba0811f1ff769,Emotional context during encoding modulates recognition electrophysiological activity,"Laboratorio de NeuroCognición, Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, Mexico" fe6cf3776cc88a09b5f3013601c35b9b2b06d2d2,Automatic face recognition with well-calibrated confidence measures,"Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus" fe6cf3776cc88a09b5f3013601c35b9b2b06d2d2,Automatic face recognition with well-calibrated confidence measures,"Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic" fe6cf3776cc88a09b5f3013601c35b9b2b06d2d2,Automatic face recognition with well-calibrated confidence measures,"NTIS - New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic" fec268cf9566309d7429b879a4dc9df4baf2f56b,Bilinear elastically deformable models with application to 3D face and facial expression recognition,"Informatics & Telematics Institute, Centre for Research & Technology Hellas, Thermi-Thessaloniki 57001 Greece" feaedf4b24f8d7673c59659cadd4237c2a1dbc90,A large-scale solar image dataset with labeled event regions,"Dept. Computer Science, Montana State University, Bozeman, MT 59717, USA" feaedf4b24f8d7673c59659cadd4237c2a1dbc90,A large-scale solar image dataset with labeled event regions,"Dept. Physics, Montana State University, Bozeman, MT 59717, USA" -fe09c8822a859d291eb2e452f1676823fd7182e8,Disguised face detection and recognition under the complex background,"Department of Computer Science and Technology, Harbin Institute of Technology University, 518055 Shenzhen, China" fe3672deffb7b761228e288d798031c33fec2930,Modular Sparse Representation Based Classification Approach for Robust Face Recognition,"Department of Physics and Computer Science, Pacific Lutheran University, Tacoma, WA, USA" fe3672deffb7b761228e288d798031c33fec2930,Modular Sparse Representation Based Classification Approach for Robust Face Recognition,"Department of Computer Engineering, Taif University, Taif, KSA" fe055de0e633d637ef80cf569f0b36d5ec8bc543,Embedded real-time localization of UAV based on an hybrid device,"Lab-STICC, Université de Bretagne Occidentale and Université de Bretagne Sud, France" fed3ed2d361411d324c664daa127be5edc6a1c8b,DIAST variability illuminated thermal and visible ear images datasets,"Digital Image, Audio and Speech (DIAST) Lab, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia" -fed3ed2d361411d324c664daa127be5edc6a1c8b,DIAST variability illuminated thermal and visible ear images datasets,"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak, Tapah, Malaysia" -fe5cfc9136f2156314ca20b19095b30704ca1117,Towards fault tolerant perception for autonomous vehicles: Local fusion,"Intelligent Control Systems Laboratory, Griffith University. Brisbane, Australia" fe5cfc9136f2156314ca20b19095b30704ca1117,Towards fault tolerant perception for autonomous vehicles: Local fusion,"CIDIS - FIEC, Escuela Superior Politecnica del Litoral. Guayaquil, Ecuador" -fe593f4e59a5b0663fd10aa359c09ff385b5405c,Hierarchical ensemble of Gabor Fisher classifier for face recognition,"Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China" -fea7c360842121780ec29f4cf0f65eeecd707336,A Study on Low Resolution Androgenic Hair Patterns for Criminal and Victim Identification,"College of Computer Science, Sichuan Normal University, Sichuan, China" -0991634b6b7f5b5d7045fe859c24ccb46152251e,Real-time Video Summarization on Commodity Hardware,"University of Ontario Institute of Technology, Oshawa, ON, Canada" -096ef3f0b14e0589e1921d897b492c14fe0fcaf4,Long-Distance Object Recognition With Image Super Resolution: A Comparative Study,"College of Electronics and Information Engineering, University of Sichuan, Chengdu, china" -096ef3f0b14e0589e1921d897b492c14fe0fcaf4,Long-Distance Object Recognition With Image Super Resolution: A Comparative Study,"School of Electrical Engineering and Information, University of Sichuan, Chengdu, China" 096ef3f0b14e0589e1921d897b492c14fe0fcaf4,Long-Distance Object Recognition With Image Super Resolution: A Comparative Study,"Department of Korean Language Education, Incheon National University, Incheon, South Korea" -096ef3f0b14e0589e1921d897b492c14fe0fcaf4,Long-Distance Object Recognition With Image Super Resolution: A Comparative Study,"School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India" 096ef3f0b14e0589e1921d897b492c14fe0fcaf4,Long-Distance Object Recognition With Image Super Resolution: A Comparative Study,"Department of Embedded Systems Engineering, Incheon National University, Incheon, South Korea" 09c586624ec65d7ef2d4d8d321e98f61698dcfe2,Talking pictures: Temporal grouping and dialog-supervised person recognition,INRIA - WILLOW Project -095251493ac774df0a737bb8023cffd036edccd0,Person Re-identification using prototype formation,"Department of CSE, National Institute of Technology, Rourkela, India, 769008" 09ff849e7e22f0ca2f46347ddfd8596f34d8712b,Fast Exact Hyper-graph Matching with Dynamic Programming for Spatio-temporal Data,"Department of Electrical-Electronics Engineering, Boğaziçi University, Istanbul, Turkey" 09ff849e7e22f0ca2f46347ddfd8596f34d8712b,Fast Exact Hyper-graph Matching with Dynamic Programming for Spatio-temporal Data,"UMR CNRS 5205, INSA-Lyon, LIRIS, Université de Lyon, CNRS, Lyon, France" -09aaabb99e0cfa932342b72cb4fcdbb2ce3aada8,People detection based on appearance and motion models,"Video Processing and Understanding Lab, Universidad Autónoma de Madrid (Spain)" -09aaabb99e0cfa932342b72cb4fcdbb2ce3aada8,People detection based on appearance and motion models,"School of Computer Science, Carnegie Mellon University (USA)" -09701199771e344b12dbfc799e0f82456764757f,Manifold inconsistency constrained sparse coding for image super-resolution reconstruction,"School of Information Engineering, Nanchang Institute of Technology, Nanchang, China" 09396d72f2f8f82794fd6a2a36d173c86a56904c,Evaluating weighting schemes for adult image detection using bag of visual words,"Software Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea" -094c3e8733ba08a879522a5501b291c9e134ab75,Intelligent recognition of emotional expressions in 3D face images,"Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey" 094c3e8733ba08a879522a5501b291c9e134ab75,Intelligent recognition of emotional expressions in 3D face images,"Department of Electrical and Electronic Engineering, Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey" -09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3,Face Recognition Based on Densely Connected Convolutional Networks,"People's Public Security University of China, School of Information technology and Network Security, Bejing, China" -09f5033e1e91dae1f7f31cba2b65bbff1d5f8ca3,Face Recognition Based on Densely Connected Convolutional Networks,"The School of Computer Science and Engineering Beihang University, Beijing Key Laboratory of Digital Media, Bejing, China" 09fec2f87d910613a065e4115919ba72f7ca8df9,Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking,"Laboratoire d’Imagerie, de Vision, et d’Intelligence Artificielle, École de Technologie Supérieure, Université du Québec, Montreal, Canada" 09686fd5eb5ec6f47d5ec24276c78d23607ec01e,Facial expression recognition using geometric normalization and appearance representation,"Electrical Engineering Department Amirkabir University of Technology Tehran, Iran" 09686fd5eb5ec6f47d5ec24276c78d23607ec01e,Facial expression recognition using geometric normalization and appearance representation,"Electrical Engineering Department Sharif University of Technology Tehran, Iran" 09571f48442518722b9b6412f2bb4be5faf19d7a,Face verification system architecture using smart cards,"CVSSP Group, Surrey Univ., Guildford, UK" -09c19512612df09b1e69c62d813f6050321bdee3,Human parsing by weak structural label,"State Key Laboratory of Information Security, Institute of Information Engineering, CAS, Beijing, China" -09c19512612df09b1e69c62d813f6050321bdee3,Human parsing by weak structural label,"JD.com, Beijng, China" -09c19512612df09b1e69c62d813f6050321bdee3,Human parsing by weak structural label,"School of Information Engineering, Tianjin University of Commerce, Tianjin, China" -09d7fcbc2dca399b500586b007307fde6424b424,Optimizing Average Precision Using Weakly Supervised Data,"Centre for Visual Information Technology, IIIT Hyderabad, Hyderabad, India" 09d7fcbc2dca399b500586b007307fde6424b424,Optimizing Average Precision Using Weakly Supervised Data,"Ecole Centrale Paris & INRIA Saclay, France" -09903df21a38e069273b80e94c8c29324963a832,Human action and event recognition using a novel descriptor based on improved dense trajectories,"IIIT Chittoor, SriCity, Andhra Pradesh, India" -099053f2cbfa06c0141371b9f34e26970e316426,Effective recognition of facial micro-expressions with video motion magnification,"School of Physics and Electronic Information Engineering, Wenzhou University, Wenzhou, China" -099053f2cbfa06c0141371b9f34e26970e316426,Effective recognition of facial micro-expressions with video motion magnification,"Information Security Group, City University London, London, UK" -09c34a4829eb5d37f763e06e5f044396d518dc2d,Precise eye localization using HOG descriptors,"I-TEAM, Universidad Politécnica de Valencia, Valencia, Spain" 09032b7d57484ae98111f461673b860b1fbe3314,Characterizing the Safety of Self-Driving Vehicles: A Fault Containment Protocol for Functionality Involving Vehicle Detection,"Electrical & Computer Engineering, Kettering University, Flint, Michigan, U.S.A." -09032b7d57484ae98111f461673b860b1fbe3314,Characterizing the Safety of Self-Driving Vehicles: A Fault Containment Protocol for Functionality Involving Vehicle Detection,"Mechanical Engineering, Kettering University, Flint, Michigan, U.S.A." 09dace372d15fa3381ade36f5cf892b5ce15a982,Efficient human computation: the distributed labeling problem,"Microsoft Corporation, Redmond, WA" 09dace372d15fa3381ade36f5cf892b5ce15a982,Efficient human computation: the distributed labeling problem,"Intel Israel, Haifa, Israel" -09771c0f9eeba235555337034f4aa7a42c8833fd,Pedestrian recognition using a dynamic modality fusion approach,"Faculty of Mathematics and Computer Science, Babeş-Bolyai University, 400084, Cluj-Napoca, Romania" -09771c0f9eeba235555337034f4aa7a42c8833fd,Pedestrian recognition using a dynamic modality fusion approach,"Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes, EA 4108, Institut National des Sciences Appliquées, Rouen, France" 0994b8a23880be0b28c0c4b214b6d4ae91d1182f,Bi-directional superpixel earth mover's distance for training free person re-identification,"Dept. of Electrical Engineering & Computer Science, Ningbo University, Ningbo, P. R. China" -09e7578833f13a1f91d7a95b71a159af4e38a305,Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition,"College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China" -09e7578833f13a1f91d7a95b71a159af4e38a305,Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition,"School of Mathematics and Computer Science, Jiangxi Science and Technology Normal University, Nanchang, China" -09e7578833f13a1f91d7a95b71a159af4e38a305,Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition,"Vocational School of Teachers and Technology, Jiangxi Agricultural University, Nanchang, China" 09c4f72b8d0bcd2956bda94bd0776c14ec051819,Beyond estimating discrete directions of walk: a fuzzy approach,"Department of Computer Science and LIASD research Laboratory, University of Paris 8, Saint-Denis, France" 09109a5375d8e2ca752bedde17ba5acad1df61cb,Sensor fusion for semantic segmentation of urban scenes,"Department of Electrical Engineering and Computer Science, University of California, Berkeley, USA" 09109a5375d8e2ca752bedde17ba5acad1df61cb,Sensor fusion for semantic segmentation of urban scenes,"Department of Computer Science, University of California, Berkeley, USA" 09109a5375d8e2ca752bedde17ba5acad1df61cb,Sensor fusion for semantic segmentation of urban scenes,"Department of Nuclear Engineering, University of California, Berkeley, USA" 32a54bec72f62407084289dfc1b6df4c9a7ce1cf,Learning context for collective activity recognition,"Dept. of Electrical and Computer Engineering, University of Michigan 1301 Beal Avenue, Ann Arbor, MI 48109-2122" 3266fcd1886e8ad883714e38203e66c0c6487f7b,Exploring synonyms as context in zero-shot action recognition,Vision Semantics Ltd -32a571a3ac490f50f8402e0a4cf771ba6093a137,A pedestrian detection system with weak classifiers,"Multimedya Sinyal Analiz Laboratuarı, Elektronik ve Haberleşme Müh. Bl., Yıldız Teknik Üniversitesi, İstanbul, Türkiye" -326ccae22d5d28812adef8c88dcfb1cddc2bb4e3,A Bezier Curve Cohort Selection Strategy for Face Pair Matching,"Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India" -32da018fcd090bbc50d2a6dfe24f5b2bf0b6694f,Real-Time Pedestrian Detection for Autonomous Driving,"School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, 541004, China" 327ae6742cca4a6a684a632b0d160dd84d0d8632,Dimension Reduction and Construction of Feature Space for Image Pattern Recognition,"Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan" -327ae6742cca4a6a684a632b0d160dd84d0d8632,Dimension Reduction and Construction of Feature Space for Image Pattern Recognition,"Institute of Management and Information Technologies, Chiba University, Chiba, Japan" 327ae6742cca4a6a684a632b0d160dd84d0d8632,Dimension Reduction and Construction of Feature Space for Image Pattern Recognition,"Graduate School of Engineering, Nagasaki University, Nagasaki, Japan" -321db1059032b828b223ca30f3304257f0c41e4c,Comparative evaluation of age classification from facial images,"Department of Electronics and Telecommunication Engineering, Don Bosco Institute of Technology, Kurla (W), Mumbai, India" -3255f6cbc14fdf8f499dfdb543f899b240708c07,Logarithmic dyadic wavelet transform based face recognition,"Department of Computer Science & Engineering, P A College of Engineering, Mangalore, India" 3209c4c71b22c7cd91e5be583664ce953e560a83,Face morphing versus face averaging: Vulnerability and detection,"Norwegian Biometrics Laboratory, NTNU, 2802 Gj⊘vik, Norway" 3229a96ffe8d305800b311cbdc2a5710e8f442f4,Recovering free space of indoor scenes from a single image,"Nokia Research, Palo Alto, CA" 32f9cfe2e352dd036dc19d30374118c2322f4449,Global optimal data association for multiple people tracking,"Department of Informatics, Technische Universität München, 85748 Garching bei München, Germany" @@ -4693,11 +2775,7 @@ fea7c360842121780ec29f4cf0f65eeecd707336,A Study on Low Resolution Androgenic Ha 32dfd4545c87d9820cc92ca912c7d490794a81d6,Computer Vision for Driver Assistance,"Department of Electrical and Electronic Engineering, Auckland University of Technology , Auckland, New Zealand" 326c5970064825a95d87f5a096201699d8ccf51c,People search based on attributes description provided by an eyewitness for video surveillance applications,"MIRACL-Faculty of Economics and Management, Sfax University, Sfax, Tunisia" 326c5970064825a95d87f5a096201699d8ccf51c,People search based on attributes description provided by an eyewitness for video surveillance applications,"MIRACL-Faculty of Sciences, Sfax University, Sfax, Tunisia" -a315e5dda09b03a5dde929f00a3996d5a53bf695,Learning temporal features with CNNs for monocular visual ego motion estimation,"FZI Research Center for Information Technology, 76131 Karlsruhe, Germany" -a3dd5a595039dcc13d1a98930b7a68ee4307c991,Fairness-oriented OS Scheduling Support for Multicore Systems,"School of Computing, KAIST" -a317cd9435900b9d47217f2896d55fc2c49c8b6b,Probabilistic Integration of Intensity and Depth Information for Part-Based Vehicle Detection,"INRIA Grenoble Rhône-Alpes, Saint Ismier, France" a30073beb1350032cbbbff79b71c2c3f1322b614,3D face matching using structured ordered facial patterns,"SAGE, Advanced Systems in Electrical Engineering, National Engineering School of Sousse(ENISO), University of Sousse, Tunisia" -a30e9fd9444189dd84ea6c03b687888a631be2c9,SWAPUGC: software for adaptive playback of geotagged UGC,"Université Paris-Saclay, Paris" a313851ed00074a4a6c0fccf372acb6a68d9bc0b,Reliable facial expression recognition for multi-scale images using weber local binary image based cosine transform features,"Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan" a313851ed00074a4a6c0fccf372acb6a68d9bc0b,Reliable facial expression recognition for multi-scale images using weber local binary image based cosine transform features,"Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan" a3775b3a0e78b890d9ca79b0aabd982551474a88,An improved 2DPCA for face recognition under illumination effects,"Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 10520" @@ -4706,19 +2784,12 @@ a3775b3a0e78b890d9ca79b0aabd982551474a88,An improved 2DPCA for face recognition a3775b3a0e78b890d9ca79b0aabd982551474a88,An improved 2DPCA for face recognition under illumination effects,"Tsuruoka National College of Technology, Tsuruoka, Yamagata, Japan 997-8511" a38dd439209b0913b14b1c3c71143457d8cf9b78,Face recognition in unconstrained environments,"Computer Science and Engineering Dept., University of Nevada Reno, USA" a35849af340f80791c4a901ec2f2bbbac06660f5,Illumination compensation for face recognition by genetic optimization of the Self-Quotient Image method,"Electrical Engineering Department, University of Chile, Santiago, Chile" -a369707aaffc571db3c143bd45038054f5a94aa0,Information fusion in face identification,"Dept. of Comput. Sci., Harbin Inst. of Technol., China" -a3bb0ec5c4380141828b9619ad92c6ecd42a09be,An automated vision-based method to detect elephants for mitigation of human-elephant conflicts,"Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India" -a35f0515a98a4f37a14a4954240ba09a91017730,Discriminative face recognition via kernel sparse representation,"Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi’an, China" -a35f0515a98a4f37a14a4954240ba09a91017730,Discriminative face recognition via kernel sparse representation,"Engineering Laboratory of Teaching Information Technology of Shaanxi Province, Xi’an, China" -a35f0515a98a4f37a14a4954240ba09a91017730,Discriminative face recognition via kernel sparse representation,"School of Computer Science, Shaanxi Normal University, Xi’an, China" a34c195aaf97c227a6901d786c19085872cd50bd,Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices,"University of Bologna, Department of Computer Science and Engineering (DISI), Viale del Risorgimento 2, Bologna, Italy" a3f689fa5d71bdc7e19a959ac5d0f995e8e56493,Analysing Driver's Attention Level using Computer Vision,"Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. bergasa@depeca.uah.es" a3f689fa5d71bdc7e19a959ac5d0f995e8e56493,Analysing Driver's Attention Level using Computer Vision,"Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, Móstoles (Madrid), Spain. josemiguel.buenaposada@urjc.es" a3f689fa5d71bdc7e19a959ac5d0f995e8e56493,Analysing Driver's Attention Level using Computer Vision,"Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. jnuevo@depeca.uah.es" a3f689fa5d71bdc7e19a959ac5d0f995e8e56493,Analysing Driver's Attention Level using Computer Vision,"Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. pjimenez@depeca.uah.es" a3f689fa5d71bdc7e19a959ac5d0f995e8e56493,Analysing Driver's Attention Level using Computer Vision,"Facultad Informatica, Universidad Politecnica de Madrid, Boadilla del Monte (Madrid), Spain. lbaumela@fi.upm.es" -e1ca483bf02befe4a15f6a4b7d8a3d7f39cd1d05,Zero-shot Image Categorization by Image Correlation Exploration,"Guangxi Normal University, Guilin, China" -e1febe25c3f678878c97bec28036c797bc5e6d0d,Cooperative multi-scale Convolutional Neural Networks for person detection,"Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany" e18d09be7d1d347258d7d0ae85526416c5389cbc,A novel multiple kernel learning approach for semi-supervised clustering,"Signal Processing Research Group Electrical and Computer Engineering Department, Yazd University Yazd, Iran" e12d5019baca91c3662aef317d406ae884f9c742,Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis,"Institute of Computer Science University of Goettingen, Data Fusion Group, Germany" e12d5019baca91c3662aef317d406ae884f9c742,Post-Processing of Multi-Target Trajectories for Traffic Safety Analysis,"Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany" @@ -4726,87 +2797,54 @@ e1b029a76c54196d63c7522a73a3709512687eb6,Grammatical facial expression recogniti e1b029a76c54196d63c7522a73a3709512687eb6,Grammatical facial expression recognition in sign language discourse: a study at the syntax level,"Faculty of Philosophy, Languages and Literature, and Human Sciences, University of Sao Paulo, Sao Paulo, Brazil" e16a9a9762b6506fb1e63c775b5348110646111d,Automated Detection of Threat Objects Using Adapted Implicit Shape Model,"DCC, Pontificia Universidad Católica de Chile, Santiago, Chile" e1557f6e129f56e6ee24d060becb895e1762283f,DOST: a distributed object segmentation tool,"Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan" -e1557f6e129f56e6ee24d060becb895e1762283f,DOST: a distributed object segmentation tool,"Dipartimento di Informatica, Università Degli Studi di Torino, Turin, Italy" e1ee1e7c355097f960b872223190b9ae8389a800,Legendre moments for face identification based on single image per person,"Electrical and Computer department, Azad University of Qazvin, Qazvin, Iran" e1ee1e7c355097f960b872223190b9ae8389a800,Legendre moments for face identification based on single image per person,"Computer department, Raja University of Qazvin, Qazvin, Iran" e1ee1e7c355097f960b872223190b9ae8389a800,Legendre moments for face identification based on single image per person,"Electrical department, Azad University of Takestan, Takestan, Iran" -e1250228bf1525d5def11a410bdf03441251dff6,Moving object surveillance using object proposals and background prior prediction,"State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China" e1e116c20a943876d25e36987fc25885920b641b,Sensing facial emotions in a continuous 2D affective space,"Reference Centre on Interactive Television, Aragon Institute of Technology, Spain" e1e116c20a943876d25e36987fc25885920b641b,Sensing facial emotions in a continuous 2D affective space,"Computer Science and Systems Engineering Department, University of Zaragoza, Spain" e14cc2715b806288fe457d88c1ad07ef55c65318,A Deep Feature based Multi-kernel Learning Approach for Video Emotion Recognition,"City University of New York, New York, NY, USA" e12a9dab5b153d43df8513ee5032161c338e10c1,Cross-View Discriminative Feature Learning for Person Re-Identification,"EEECS/ECIT, Queen’s University Belfast, Belfast, U.K." e12a9dab5b153d43df8513ee5032161c338e10c1,Cross-View Discriminative Feature Learning for Person Re-Identification,"Research Division, Anyvision, Belfast, U.K." e11407869aa4ffc24c2fdae5e22f29375639d343,Using road topology to improve cyclist path prediction,"Intelligent Vehicles & CognitiveRobotics Group, Technical University Delft, The Netherlands" -e15eedb39dac379e217110002a6576f7bb213aaa,3-Layer specific pedestrian continuous tracking framework,"CAAC Academy of Flight Technology and Safety, Civil Aviation Flight University of China, Guanghan, China" -e118c399cf7787c4c7e9d8602d5f63dde722526a,Cellular-based vehicle to pedestrian (V2P) adaptive communication for collision avoidance,"Department of Computer Science and Engineering - Aalto University - Espoo, Finland" -e1d1540a718bb7a933e21339f1a2d90660af7353,Discriminative Probabilistic Latent Semantic Analysis with Application to Single Sample Face Recognition,"College of Arts and Sciences, Shanxi Agricultural University, Shanxi, China" -e14b046a564604508ea8e3369e7e9f612e148511,Facial Expression Recognition on Hexagonal Structure Using LBP-Based Histogram Variances,"Video Surveillance Laboratory, Guizhou University for Nationalities, Guiyang, China" -e14b046a564604508ea8e3369e7e9f612e148511,Facial Expression Recognition on Hexagonal Structure Using LBP-Based Histogram Variances,"Centre for Innovation in IT Services and Applications (iNEXT), University of Technology, Sydney, Australia" -e198e10fc6b01e37b435f91559be67ba0e9bf40b,Extended LBP based Facial Expression Recognition System for Adaptive AI Agent Behaviour,"IM&T Operations Assistant NEP Shared System Group, Northumbria Healthcare NHS, Stokesley, UK" e198a7b9e61dd19c620e454aaa81ae8f7377ade0,A hierarchical approach to facial aging,"Face Aging Group, Computer Science Department, UNCW, USA" e1846cf49132cae0edf24ddbe281d470b67e8a14,Review of Algorithms for Tag Detection in Video Sequences,"Faculty of Electronics, Wroclaw University of Science and Technology, Wroclaw, Poland" e1846cf49132cae0edf24ddbe281d470b67e8a14,Review of Algorithms for Tag Detection in Video Sequences,"Polish-Japanese Academy of Information Technology R&D Center, Warsaw, Poland" e1846cf49132cae0edf24ddbe281d470b67e8a14,Review of Algorithms for Tag Detection in Video Sequences,Antal Bejczy Center for Intelligent Robotics Óbuda University e1678add566a002e1fe5536d8607888549e36ff8,Object detection and tracking in night time video surveillance,"Department of Electronics & Computer Engineering, Chonnam National University, Gwangju, South Korea" 9648c8276d837fdf181bc43367bc28a65135ff14,Fusion of Gabor Feature Based Classifiers for Face Verification,"Universidad Rey Juan Carlos, Spain" -966a09ac570b043aebb7bd92fa116e8f40f50642,Cross-Modal Style Transfer,"CVIT, KCIS, IIIT Hyderabad, India" -96fda9a7396a4d61d91e927ce885d4a32d6f7f01,Face Recognition Via Weighted Two Phase Test Sample Sparse Representation,"China Airborne Missile Academy, Luoyang, China" 96040876d7c74fef89733e509a34f9c244a88c35,Human action recognition using a semantic-probabilistic network,"Odessa National Polytechnic University Odessa, Ukraine" -96040876d7c74fef89733e509a34f9c244a88c35,Human action recognition using a semantic-probabilistic network,"University of Applied Sciences Berlin (HTW), Berlin, Germany" -961a6136409d9f322044b585fd9072267feef927,An IFS based approach for face recognition,"Dipt. di Matematica ed Inf., Univ. degli studi di Salerno, Italy" 96e5e6ebebc0afab75983d444402893d1a467a16,Part-based pedestrian detection using HoG features and vertical symmetry,Computer Science Department Technical University of Cluj-Napoca -965bf5726891428a2af6922ead4779c0a1331392,Image categorization using a semantic hierarchy model with sparse set of salient regions,"The Second Hospital of Nanjing, Nanjing, China" -96d3969dba2d1000f97de0b7cca50ea721d1f79d,Continuous Vehicle Detection and Tracking for Non-overlapping Multi-camera Surveillance System,"School of Information Science and Technology, Dalian Maritime University, Dalian, China" 96330777eb14dd6bc31d61b0d7f276083a04e34f,Real-time Implementation of YOLO+JPDA for Small Scale UAV Multiple Object Tracking,"Centre for Autonomous and Cyber-Physical Systems, School of Aerospace, Transport and Manufacturing, Cranfield University, MK430AL, UK" 9652f154f4ae7807bdaff32d3222cc0c485a6762,An efficient and sparse approach for large scale human action recognition in videos,"Univ. La Rochelle, La Rochelle, France" 96ff19932d81bfafbd5bf1ca18f0b439e345445d,Late fusion for person detection in camera networks,"Institute for Human-Machine Communication, Technische Universität München" -96ece788e0db984a27a11a9a10b6430f6f7299c5,Stereo-based pedestrian detection using the dynamic ground plane estimation method,"Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea" 96ccd94151a348c9829ab1d943cb13e9e933952f,A face detector based on color and texture,"Department of Electrical and Computer Engineering, Isfahan University of Technology, 8415683111 Isfahan, Iran" -965f3a60a762712c3fc040724e507d00357f8709,Performance analysis of face recognition by combining multiscale techniques and homomorphic filter using fuzzy K Nearest Neighbour classifier,"Department of Computer Science & Engineering, Mary Matha College of Engineering & Technology, Paliyodu, Neyattrinkara, Trivandrum District, Kerala, India" -966f2106b12d2425185add5666816abf8c834e64,Localization of region of interest in surveillance scene,"Haldia Institute of Technology, Haldia, India" -966f2106b12d2425185add5666816abf8c834e64,Localization of region of interest in surveillance scene,"Sookmyung Women’s University, Seoul, Republic of Korea" -96c21795747e50f6bce9a116428762d5a796f37c,Joint color and texture descriptor using ring decomposition for robust video copy detection in large databases,"Centre de développement des Technologies Avancées. Cité 20 Aout, Baba Hassen, 16303, Alger, Algérie" -962812d28a169b3fc1d4323f8d0fca69a22dac4c,Distance-weighted manifold learning in facial expression recognition,"College of Computer Science and Technology, Wuhan University of Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China" 9628af8b8496a2e69c8eb8a33e2db2db62551e9c,Deep Learning for Illumination Invariant Facial Expression Recognition,"School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, United Kingdom" 9677597380692990c27b14d77be4f5f793698f6b,Biometric identification via an oculomotor plant mathematical model,Texas State University-San Marcos 9677597380692990c27b14d77be4f5f793698f6b,Biometric identification via an oculomotor plant mathematical model,Lawrence Berkeley National Laboratory 96416ad7328b57794e17c2f83ecfedea75c84828,Smart buildings and the human-machine cloud,"NCSR Demokritos, Greece" 96416ad7328b57794e17c2f83ecfedea75c84828,Smart buildings and the human-machine cloud,"University of South Wales, UK" 96416ad7328b57794e17c2f83ecfedea75c84828,Smart buildings and the human-machine cloud,"University of Manouba, Republic of Tunisia" -969127a099a12bd5bb88809c75cafe0a62f6ca05,An intelligent recommendation system using gaze and emotion detection,"Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India" 962e4fee051d00737bf4a87fd05d90ef86252ec7,Real-time 3D face identification from a depth camera,Eurecom-France 962e4fee051d00737bf4a87fd05d90ef86252ec7,Real-time 3D face identification from a depth camera,University of Southern California-USA -af53ce0f3a039c685b754e1f704817e03e182412,Face recognition using LBP for personal image management system and its analysis,"Contents Protection and Management Team, ETRI, Deajeon, KOREA" afa24eb881c7011e851f8a12dea32a7293cffefa,Cross-layer classification framework for automatic social behavioural analysis in surveillance scenario,"INESC TEC, Porto, Portugal" af4759f5e636b5d9049010d5f0e2b0df2a69cd72,Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing,"National University of Singapore & National University of Defense Technology, Singapore, Singapore" af4759f5e636b5d9049010d5f0e2b0df2a69cd72,Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing,"National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore" af97e792827438ddea1d5900960571939fc0533e,Face recognition under variable lighting using the mean-field method and the gray-level pyramid,"Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya, Japan" af0a8199328d4c806574866f419d1962def9305a,Fast unsupervised alignment of video and text for indexing/names and faces,"University of California: Berkeley, Berkeley, CA" -af6a0bab11a95dfe99b835c724e7901b9bb8aaf6,"Robust Framework of Single-Frame Face Superresolution Across Head Pose, Facial Expression, and Illumination Variations","School of Information Engineering, Chang’an University, Xi’an, China" -af6a0bab11a95dfe99b835c724e7901b9bb8aaf6,"Robust Framework of Single-Frame Face Superresolution Across Head Pose, Facial Expression, and Illumination Variations","School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an, China" afb834494f041e5db01a7ba266c4da1d2edfb593,Face localization using skin colour and maximal entropy based particle swarm optimization for facial recognition,"Ramaiah Institute of Technology, Bangalore" afb834494f041e5db01a7ba266c4da1d2edfb593,Face localization using skin colour and maximal entropy based particle swarm optimization for facial recognition,"Robrt Bosch Center for Cyber physical Systems of Indian, Institute of Science Bangalore" -af61bb846d4bd23f1cb24cc5fff6431b1b4a7f6b,Modular approach on kernel principal component analysis for enhanced face recognition,"Department of Electronics and Communication, College of Engineering, Trivandrum, Kerala, India" -af61bb846d4bd23f1cb24cc5fff6431b1b4a7f6b,Modular approach on kernel principal component analysis for enhanced face recognition,"Department of Electronics and Communication, NIT Calicut, Kerala, India" -af657fade7bd78d9916bbf4305bee7170121d8ac,Significance of dictionary for sparse coding based face recognition,"School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, India" afe07027632430fb36d8217dc4f22804866ac6a5,Recognizing Fine Facial Micro-Expressions Using Two-Dimensional Landmark Feature,"Department of Electronic Engineering, Inha University, Republic of Korea" -afbaf5e3ccaef3e53ec85e42b97392a0e95d3991,A discriminative approach to frame-by-frame head pose tracking,"Machine Perception Laboratory, University of California, San Diego, La Jolla, 92093, USA" af44049d138b4f0a3cd4664dc6e7ecde04a754aa,Implementation of 3D face construction from a face image,Eskişehir Osmangazi University -af13aae576f4d9ecc3de73a9ef8ff4396d057b8c,DVD: Constructing a Discriminative Video Descriptor by Convolving Frame Features,"College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, China" afe2b41cd5af65feda66fc71bd76db602954c6eb,Influence of Positive Additive Noise on Classification Performance of Convolutional Neural Networks,"Fakulta riadenia a informatiky, Žilinská Univerzita v Žiline, Žilina, 01026, Slovakia" af7310abcbac6b43ffa850be2315282185b933bc,Detection and recognition of traffic signs inside the attentional visual field of drivers,"Department of Computer Science, Western University, London, ON, N6A 5B7, Canada" -af29ad70ab148c83e1faa8b3098396bc1cd87790,Unconstrained face detection: a Deep learning and Machine learning combined approach,"Department of Computer Science, Solapur University, Solapur, India" af62dfa3e70a33fcf14a38744e0111ab8e5dfa67,Learning Latent Representations of 3D Human Pose with Deep Neural Networks,"Computer Vision Laboratory (CVLab), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland" -af62dfa3e70a33fcf14a38744e0111ab8e5dfa67,Learning Latent Representations of 3D Human Pose with Deep Neural Networks,"LaBRI, University of Bordeaux, Talence, France" af9685d885b88aaee4ce9c985669032a9ac9029f,Abnormal event detection based on social force model combined with crowd violent flow,"Department of Electronics Engineering Pusan National University, Busan, Korea" -af2b0d3a6ffac71b2be2110e493255b72ed93b47,Simultaneous detection and segmentation for generic objects,"University of Girona, ATC, Girona, Spain" af8e22ef8c405f9cc9ad26314cb7a9e7d3d4eec2,A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering,"Electrical-Electronics Engineering Department, Izmir University of Economics, Balcova, Turkey" fb7dd133450e99abd8449ae1941e5ed4cf267eea,Improving deep learning performance using random forest HTM cortical learning algorithm,"Dept. of computers and communications, Faculty Of Eng., Delta Univ. for Science and Technology, Gamasa City, Egypt" fb6cc23fd6bd43bd4cacf6a57cd2c7c8dfe5269d,An experimental study on content-based face annotation of photos,"Psychology Department, University of California, Santa Barbara, CA 93106 USA" fb6cc23fd6bd43bd4cacf6a57cd2c7c8dfe5269d,An experimental study on content-based face annotation of photos,"Electrical and Computer Engineering Department, University of California, Santa Barbara, CA 93106 USA" fb10c71d6a341f1709cd06223c9b5e8f81bf6674,Biometrics privacy: Technologies and applications,"Università degli Studi di Milano, Milan, Italy" fba6b4b66aa4dc04f96336ca94887a669adf8e49,Model for adaptable context-based biometric authentication for mobile devices,"Department of Information Technology, Poznań University of Economics and Business, Poznan, Poland" -fba6b4b66aa4dc04f96336ca94887a669adf8e49,Model for adaptable context-based biometric authentication for mobile devices,"The Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poznan, Poland" fb2bd6c2959a4f811b712840e599f695dad2967e,Environmental illumination invariant face recognition using near infrared imaging system,"School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, 689-798, Korea" fb0f5e06048c0274c2a4056e353fa31f5790e381,2.5D face landmarking via scale-invariant feature extraction and centroid localization,"Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia" fb52ebf6ffefb54f4a1c587c96cd8ea122cc0d3a,User-Assisted People Search in Consumer Image Collections,"Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-1816" @@ -4815,102 +2853,62 @@ fbc591cde7fb7beb985437a22466f9cf4b16f8b1,Illumination Robust Face Recognition Us fbc591cde7fb7beb985437a22466f9cf4b16f8b1,Illumination Robust Face Recognition Using Spatial Expansion Local Histogram Equalization and Locally Linear Regression Classification,"Dept. of Comp. Sci. and Inf. Eng, National United University, Miaoli, Taiwan" fbd338f653bbf348dd33eadac1f439be072c27e8,Video survivallance based face recognition using FLTP,"Dept. of ECE, SVEC, Tirupati, AP" fbe107b6e3437ffe33243480005c815eba3e02f9,Granularity-based interactive image display,Department of Computer Science and Information Engineering National Taiwan Normal University -fbbbbc8fe255191b14608c6d877d9330d35273ca,A new feature extraction model based on image gradient,"School of Computer Science and Engineering, Xi'an University of Technology, China" -fb662d021f05236c8ff2bea3be901cd25251487c,"Computer Vision, Graphics, and Image Processing","Indian Institute of Information Technology, Chittoor, India" -fb662d021f05236c8ff2bea3be901cd25251487c,"Computer Vision, Graphics, and Image Processing","CEDAR, Buffalo, USA" -fb662d021f05236c8ff2bea3be901cd25251487c,"Computer Vision, Graphics, and Image Processing","CSIR-CEERI, Pilani, India" fb3da9b47460eedf857e386a562cc5348d78d544,Illumination invariant face recognition using SQI and weighted LBP histogram,"Department of Computer Engineering, University of Kashan, Iran" -fbece7c5584662d1da447b12e9a2be6fe626216e,Template-based people detection using a single downward-viewing fisheye camera,"Chunghwa Telecom Laboratories, Taoyuan, Taiwan, ROC" -fbd7c6956fd08358b0335241292dcd0af080560c,Scale-adaptive tracking based on perceptual hash and correlation filter,"College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China" -fbd7c6956fd08358b0335241292dcd0af080560c,Scale-adaptive tracking based on perceptual hash and correlation filter,"Fujian Engineering Research Center of Public Service Big Data Mining and Application, Fuzhou, China" -fbd7c6956fd08358b0335241292dcd0af080560c,Scale-adaptive tracking based on perceptual hash and correlation filter,"Department of Computer Science, Fuzhou Polytechnic, Fuzhou, China" fbc3680f14f057a62420e5771250465768a75557,Facial features extraction by accelerated implementation of circular hough transform and appearance evaluation,"Graduate School of Engineering, Mie University, Tsu, Mie, Japan" -fb7bf10cbc583db5d5eee945aa633fcb968e01ad,A novel weighted fuzzy LDA for face recognition using the genetic algorithm,"School of Control Science and Engineering DUT, Dalian, China" fb44fc4c92ffbca1a41053e5cb673e76212f1df1,Detection and Recognition of Compound 3D Models by Hypothesis Generation,"Industrial Research Institute for Automation and Measurements, Warsaw, Poland" fb44fc4c92ffbca1a41053e5cb673e76212f1df1,Detection and Recognition of Compound 3D Models by Hypothesis Generation,"Institute of Control and Computation Engineering, Warsaw, Poland" -fb3aaf18ea07b30d1836e7cf2ab9fa898627fe93,Facial Expression Recognition Using Weighted Mixture Deep Neural Network Based on Double-Channel Facial Images,"Department of Information Science and Engineering, Changzhou University, Changzhou, China" fb5f7d581c0d7561e83c6d77c3df6991641cd158,SensiTV: Smart EmotioNal System for Impaired People's TV,"University of Applied Sciences of Western Switzerland - Fribourg, Fribourg, Switzerland" -fb5f7d581c0d7561e83c6d77c3df6991641cd158,SensiTV: Smart EmotioNal System for Impaired People's TV,"University of Applied Sciences of Western Switzerland, Fribourg, Switzerland" fb1919aeaa26f2c559268c52deb68463ee58abee,Local matching Gabor entropy weighted face recognition,"Department of Electrical Engineering, and Advanced Mining Technology Center, Universidad de Chile Av. Tupper 2007, Santiago, Chile" -fbbb73b476639b89b5a0f400251fe33c4fec4f6d,An adaptive ensemble-based system for face recognition in person re-identification,"Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada" fb228b214e28af26f77cc1195d03c9d851b78ec6,Facial asymmetry versus facial makeup,"Information Systems and Decision Sciences Department at California State University, Fullerton, California, US" fb228b214e28af26f77cc1195d03c9d851b78ec6,Facial asymmetry versus facial makeup,"Computer Science Department at California State University, Fullerton, California, US" fb228b214e28af26f77cc1195d03c9d851b78ec6,Facial asymmetry versus facial makeup,"Psychology Department at California State University, Fullerton, California, US" -fbb3e9903fbcf0b8778712c29459255731342cbe,A person re-identification algorithm by using region-based feature selection and feature fusion,"Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang, University, Beijing 100191, China" fb0774049f2f34be194592822c74e2f2e603dea8,Landmark localization approach for facial computing,"School of Mathematics, Statistics and Computer Science, UKZN, Durban, South Africa" fbe3ba628fa8435bf1ad4ed153c93109624b8dff,Understanding the Message of Images with Knowledge Base Traversals,"University of Mannheim, Mannheim, Germany" 98278a1f9148944a17c8f928edf189c3877442ff,Facial feature extraction by kernel independent component analysis,"Ist. di Studi sui Sistemi Intelligent per l'Automazione, CNR, Bari, Italy" 98bc9301c352d5d72398a99bc64b8f3371c3ac0d,A semantic hybrid approach based on grouping adjacent regions and a combination of multiple descriptors and classifiers for automatic image annotation,"Information Processing and Telecommunications Laboratory, Computer Science Department, Faculty of Science and Technology, Sultan Moulay Slimane University, Mghila, Beni Mellal, Morocco" -98af84d3a97c946369670a813f4399e36b20be62,Multimedia data stream information mining algorithm based on jointed neural network and soft clustering,"Zhuhai Da Hengqin Science and Technology Development Co.,Ltd, Zhuhai, China" 98af84d3a97c946369670a813f4399e36b20be62,Multimedia data stream information mining algorithm based on jointed neural network and soft clustering,"City University of Macau, Xian Xing Hai, Macau" 982ba55288088899dc5ee69750f58415ca748ec2,Boosting based object detection using a geometric model,"Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany" 982ba55288088899dc5ee69750f58415ca748ec2,Boosting based object detection using a geometric model,"Computer Vision and Robotics Research, University of California, San Diego, La Jolla, California 92093-0434" 98fad0d5c3ebdab54732b49cad3d8b3a3a55d9e6,DEAP: A Database for Emotion Analysis ;Using Physiological Signals,"Ecole Polytechnique Fédérale de Lausanne, Lausanne" -98cb6011e3713239c0e758e0befd94e060fd9064,"A review of feature extraction techniques BTC, DCT, Walsh and PCA with FDM and BDM for face recognition","PCCOE Information Technology Department PCCOE, Pune, India" -98cb6011e3713239c0e758e0befd94e060fd9064,"A review of feature extraction techniques BTC, DCT, Walsh and PCA with FDM and BDM for face recognition","Computer Engineering Department PCCOE, Pune, India" 985bbe1d47b843fa0b974b4db91be23f218d1ce7,Intelligence Science I,"Machine Intelligence Research Institute, Rockville, USA" -985bbe1d47b843fa0b974b4db91be23f218d1ce7,Intelligence Science I,"Shanghai Maritime University, Shanghai, China" 98f64ad55b00d417698c1fda2c9dbea5a91a56e4,Behavior-based relative self-localization in intersection scenarios,"CoR-Lab, University of Bielefeld, Universitaetsstr. 25, 33615 Bielefeld, Germany" 98ed6862bb4d628c29b7fdc9953510f130af9d9a,Improve object detection via a multi-feature and multi-task CNN model,"Academy of Broadcasting Science, Beijing, P.R. China, 100866" 984edce0b961418d81203ec477b9bfa5a8197ba3,Customer and target individual face analysis for retail analytics,"Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand" 984b721cc29b4d66c03b86114554c3bf3403d434,Comparative study between color texture and shape descriptors for multi-camera pedestrians identification,"MIRACL laboratory, ISIMS, BP. 242-3021, Sfax, Tunisia" -984b721cc29b4d66c03b86114554c3bf3403d434,Comparative study between color texture and shape descriptors for multi-camera pedestrians identification,"Signal and System Research Unit, ENIT, le belvedere 1002, Tunis, Tunisia" 984b721cc29b4d66c03b86114554c3bf3403d434,Comparative study between color texture and shape descriptors for multi-camera pedestrians identification,"PRISME laboratory, 12 rue de Blois, F-45067 Orleans Cedex2, France" 98e64a5377ba09356fb191283f406708be7546c3,"Context in Affective Multiparty and Multimodal Interaction: Why, Which, How and Where?","National Technical University of Athens/ University of the Aegean, Athens, Greece" -98ef8b8e4df2c19bcd56827a5a9cdd7eb88364ac,Field Support Vector Machines,"Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China" 9829848932525928e5b06a8505dba2edda22c569,Object modeling and trajectory estimations for traffic analysis,"Labri, University of Bordeaux, France" -98aabc3bffe179cc5b6d8137493029338f470647,Efficient low-rank supported extreme learning machine for robust face recognition,"School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China, 430073" -983c6d9d8aaeca30e6b84e2b2c6e2a514d6df254,An empirical comparison of high definition video and regular video in optical flow computation,"Youngstown State University, USA" 9840b1c84dc8f47979d74be23e2276a12d24164c,Advances in Visual Computing,"Department of Computer Science and Engineering, University of Nevada at Reno, USA" 9840b1c84dc8f47979d74be23e2276a12d24164c,Advances in Visual Computing,"NextGen Interactions, Raleigh, USA" -9840b1c84dc8f47979d74be23e2276a12d24164c,Advances in Visual Computing,"Intel Corp., Santa Clara, USA" 9840b1c84dc8f47979d74be23e2276a12d24164c,Advances in Visual Computing,"NVIDIA, Leesburg, USA" 980fb221bd7b95929ae5557a5c4f23c6eb5799ef,Score-level fusion based on the direct estimation of the Bayes error gradient distribution,"University of Rajshahi, Bangladesh" 98218fa05a171a641435c154afa17bc99cf3375e,Comparing subspace methods for face recognition,"Department of Computer Science, Tamaki Campus, The University of Auckland, 1142, New Zealand" 98fb18a3079087cc1370bc3c63aa73281c632df3,Off-line writer identification using handcrafted features versus ConvNets,"Postgraduate Program in Computing State University of Maringá, Avenida Colombo, 5790, Maringa - Parana - Brasil" -98fb18a3079087cc1370bc3c63aa73281c632df3,Off-line writer identification using handcrafted features versus ConvNets,"Computer Science Dapartment, Federal University of Technology - Paraná Via Rosalina Maria dos Santos, 1233, Campo Mourao - Parana - Brasil" 98fb18a3079087cc1370bc3c63aa73281c632df3,Off-line writer identification using handcrafted features versus ConvNets,"Scientific Initiation Program State University of Maringá, Avenida Colombo, 5790, Maringá - Paraná - Brasil" 9857c4aed140d6829d763004c028e7b61bbac00c,A multi-scale learning approach for landmark recognition using mobile devices,"School of Electrical and Electronic Engineering Nanyang Technological University, Singapore" e3e2914ecc57f00f31b2769d501bf16dd99547c9,Social Event Mining in Large Photo Collections,"University of Vienna & Vienna University of Technology, Vienna, Austria" -e3e2914ecc57f00f31b2769d501bf16dd99547c9,Social Event Mining in Large Photo Collections,"St. Pölten Univ. of Applied Sciences, St. Pölten, Austria" e387b3d3dec004366de7e5f6b049781888adf34a,Velocity estimation from monocular video for automotive applications using convolutional neural networks,"BMW Group Technology Office, 2606 Bayshore Pkwy, Mountain View, CA 94043, USA" e387b3d3dec004366de7e5f6b049781888adf34a,Velocity estimation from monocular video for automotive applications using convolutional neural networks,"Nauto Inc., 380 Portage Ave., Palo Alto, CA 94306, USA" e3466e5ba37f33474eff37555ac274cf098621cc,Person Reidentification in a Distributed Camera Network Framework,"Department of Mathematics and Computer Science, University of Udine, Udine, Italy" -e35517f891736a413b9d8f18cd5109e215115c26,Dual Viewpoint Passenger State Classification Using 3D CNNs,"Jaguar Land Rover, Engineering Centre, Coventry, UK" -e34cb2d2f9f6ccf63de5a838ce5218e0b817469b,Video Frame Interpolation Using Recurrent Convolutional Layers,"Cooperative Medianet Innovation Center, Shanghai, China" e3d174bc5632dce568bd947303d776b5ae98ec84,Visual guard rail detection for advanced highway assistance systems,"Environment Perception, Daimler R&D, Sindelfingen, Germany" -e3f717aac41694595ae9105eb5678f82214e1a0a,Automatic segmentation and tracking of thrombus formation within in vitro microscopic video sequences,"Computer Aided Medical Procedures, Technische Universitaet Muenchen, Munich, Germany" e3809bca0d39f8ab06594e2ecbb987fea148cb77,Tracking and Activity Recognition Through Consensus in Distributed Camera Networks,"University of California, Riverside, CA, USA" e3809bca0d39f8ab06594e2ecbb987fea148cb77,Tracking and Activity Recognition Through Consensus in Distributed Camera Networks,Digital Western -e3df67537b365574c0036108fa853cda23778d7c,Human violence recognition and detection in surveillance videos,"INRIA Sophia Antipolis, STARS team, 2004 Route des Lucioles, BP93, 06902, France" -e3471f481c6b61489d8d48eb4668286f7db890da,Human body part classification from optical flow,"chool of Electrical Engineering, KAIST, Daejeon, 305-701, Korea" -b7c2027a8ab6623a33d103ab4919ad3033badbc3,Pedestrian detection from still images,"Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey" -b79873ccb1c03375f58f577c98d5bd7a371da4e9,A new hybrid method for face recognition,"CSE Department, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India" -b79873ccb1c03375f58f577c98d5bd7a371da4e9,A new hybrid method for face recognition,"Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India" b7b88502be046874a559b070b98304dec76b9dab,Stereo-based tracking of multiple overlapping persons,"Department of Computer Science and Engineering, Toyohashi University of Technology" -b7a5b5d284f517397dc2a8310ad8aee2e7897f54,Optimized residual vector quantization for efficient approximate nearest neighbor search,"School of Computer and Information, Anqing Normal University, Anqing, China" b712f08f819b925ff7587b6c09a8855bc295d795,Independent Component Analysis Using Semi-Parametric Density Estimation Via Entropy Maximization,"Dept. of EMPH, Icahn School of Medicine at Mount Sinai, New York, NY 10029" b7a096387e09eb8fc1de957c4cf25e894cdfffcd,How to reach top accuracy for a visual pedestrian warning system from a car?,"KULeuven, EAVISE" b75eecc879da38138bf3ace9195ae1613fb6e3cc,Improvement in Detection of Wrong-Patient Errors When Radiologists Include Patient Photographs in Their Interpretation of Portable Chest Radiographs,"Department of Radiology and Imaging Sciences, Winship Cancer Institute, Emory University School of Medicine, Atlanta, USA" b75eecc879da38138bf3ace9195ae1613fb6e3cc,Improvement in Detection of Wrong-Patient Errors When Radiologists Include Patient Photographs in Their Interpretation of Portable Chest Radiographs,"Emory University School of Medicine, Atlanta, USA" -b74aacefedefa3f4338e1c5999dbe756ea2ff837,A face recognition algorithm based on LLE-SIFT feature descriptors,"College of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China" -b7b732df067a146b6254dfda404b124c1bff43b9,Facial Expression Recognition using Bandlet Transform and Centre Symmetric – Local Binary Pattern,"Department of Computer science and engineering, Walchand College of Engineering, Sangli, India" -b7a3ff5153b340e639dd14eb6933e307199afe08,Face recognition of technology experts for e-government based on web mining,"Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China" b725f428e811b8b44795ac96be016efca4fca4d6,Learning Deep Off-the-Person Heart Biometrics Representations,"Computing Department, Federal University of Ouro Preto, Ouro Preto, Brazil" b725f428e811b8b44795ac96be016efca4fca4d6,Learning Deep Off-the-Person Heart Biometrics Representations,"Department of Informatics, Federal University of Paraná, Curitiba, Brazil" b725f428e811b8b44795ac96be016efca4fca4d6,Learning Deep Off-the-Person Heart Biometrics Representations,"Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Brazil" -0afde5f49ea236fe5e79f3ec9a7e7e2f9a306b06,Sparse Multigraph Embedding for Multimodal Feature Representation,"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China" 0aaf785d7f21d2b5ad582b456896495d30b0a4e2,A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab,"Cornell University & Facebook Inc., New York, NY, USA" 0aaf785d7f21d2b5ad582b456896495d30b0a4e2,A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab,"Facebook Inc., Menlo Park, CA, USA" -0aa9b44756774085683d96ee98be2fe512361a94,Visual Odometry based on improved feature matching and Unscented Kalman Filter,"School of Automation, Beijing Institute of Technology, 100081, China" 0af15b37d9a24c05df92d9004d11f78fa69b00c8,FaceVR: Real-Time Gaze-Aware Facial Reenactment in Virtual Reality,"University of Erlangen-Nuremberg, Erlangen, Germany" 0af15b37d9a24c05df92d9004d11f78fa69b00c8,FaceVR: Real-Time Gaze-Aware Facial Reenactment in Virtual Reality,"Max-Planck-Institute for Informatics, Saarbruecken, Germany" 0a84cb949a12c619c6558f1a267710e9a7b71726,A multi-biometric iris recognition system based on a deep learning approach,"School of Electrical Engineering and Computer Science, University of Bradford, Bradford, UK" -0a297523188b03fdf9d2155bfdcca7e1bcab3762,Hartley transform based correlation filters for face recognition,"Dept. of ECE, B.N.M Institute of Technology, Bangalore, India" 0ad344673a12c718637c851758484d7889125347,Bregman pooling: feature-space local pooling for image classification,"Laboratory of Media Dynamics, Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan" 0a59337568cbf74e7371fb543f7ca34bbc2153ac,Geodesic flow kernel for unsupervised domain adaptation,"Dept. of Computer Science, U. of Southern California" 0a59337568cbf74e7371fb543f7ca34bbc2153ac,Geodesic flow kernel for unsupervised domain adaptation,"Dept. of Computer Science, U. of Texas at Austin" -0a9920cfe4b923b11e6fc56cf60528ab24c4e265,"Context modeling in computer vision: techniques, implications, and applications","Florida Atlantic University, Boca Raton, USA" 0a9920cfe4b923b11e6fc56cf60528ab24c4e265,"Context modeling in computer vision: techniques, implications, and applications","ENSEEIHT, Toulouse, France" 0abd6c8cd2dafd05eaa6ba7e676581e92f3bbbae,Scene-Specific Pedestrian Detector Using Monte Carlo Framework and Faster R-CNN Deep Model: PhD Forum,"University of Sousse, Tunisia, Blaise Pascal University, France" 0abd6c8cd2dafd05eaa6ba7e676581e92f3bbbae,Scene-Specific Pedestrian Detector Using Monte Carlo Framework and Faster R-CNN Deep Model: PhD Forum,"Blaise Pascal University, France" @@ -4921,44 +2919,24 @@ b725f428e811b8b44795ac96be016efca4fca4d6,Learning Deep Off-the-Person Heart Biom 0a69aec6826546283d1277b0cf933c398fc41e86,Dynamic Bayesian Network for Unconstrained Face Recognition in Surveillance Camera Networks,"Center for Research in Intelligent Systems, University of California Riverside, Riverside" 0a7ae4e41ea12426f0692fab66fad3dadfca8148,An interaction between oxytocin and a genetic variation of the oxytocin receptor modulates amygdala activity toward direct gaze: evidence from a pharmacological imaging genetics study,"Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany" 0a4dfef84834d6e2bb0d2a9d1a5f5be40e7b8530,A benchmark for automated peak picking of protein NMR spectra,"Department of Computer Science, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland" -0a4dfef84834d6e2bb0d2a9d1a5f5be40e7b8530,A benchmark for automated peak picking of protein NMR spectra,"Institute of Molecular Biology and Biophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland" 0ab5a9e10ef99b71ade05f8d9bab3073232a2ef6,Self-occlusion and 3D pose estimation in still images,"Pontifícia Universidade Católica do Rio Grande do Sul, Brazil" 0a53e6eb8b48890f7431da7d0f51d6624d4430cb,Detecting humans in videos by combining heterogeneous detectors,"University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10 000, Croatia" -0a29cee986471b495728b08756f135a2377d5a2a,"Robust principal component analysis via joint ℓ2,1-norms minimization","Shenzhen Konka Communication Technology Company, China" -0abd596e15ed9a814037089bc53e124e262f7464,Emotion Recognition using Multimodal Features,"School of Information Renmin University of China, Beijing, China" -0a0007cfd40ae9694c84f109aea11ec4f2b6cf39,Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition,"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Fuzhou, China" -0a0007cfd40ae9694c84f109aea11ec4f2b6cf39,Unsupervised multi-manifold linear differential projection(UMLDP) for face recognition,"School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing, China" -0ab65b963f8b71e31bfec188056023147f75303e,SPNet: Superpixel Pyramid Network for Scene Parsing,"Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China" 0a8cfe6bf63530d9ee402a6a6e1a7666008e43b7,Energy-aware thread co-location in heterogeneous multicore processors,"UC San Diego, La Jolla, CA" -0a15b8c7d529c7facc2d3b4c2111801dd4adfc28,A new face descriptor using local un-quantized patterns,"2012 Labs, Huawei, Bangalore, India" 0ae6b023b599a17cf32b83606a9565c3ad539ecf,3-D Face Recognition Under Occlusion Using Masked Projection,"Department of Computer Engineering, Bogaziçi University, Istanbul, Turkey" 61d2057142a1e995ed4c8d337d0f557188eb8162,Eye contact elicits bodily self-awareness in human adults,"Laboratory of Psychopathology and Neuropsychology (LPN, EA2027), Université Paris 8, Saint-Denis 93526 cedex, France" -61ed130bd12c5ff8170a9bcbb4e108657ec5942a,Automatic analysis of deep-water remotely operated vehicle footage for estimation of Norway lobster abundance,"Centre for Computing and Intelligent Systems, Universiti Tunku Abdul Rahman, Kampar, Malaysia" 61ed130bd12c5ff8170a9bcbb4e108657ec5942a,Automatic analysis of deep-water remotely operated vehicle footage for estimation of Norway lobster abundance,"Instituto de Telecomunicações, Instituto Superior Técnico, Lisbon, Portugal" -61ed130bd12c5ff8170a9bcbb4e108657ec5942a,Automatic analysis of deep-water remotely operated vehicle footage for estimation of Norway lobster abundance,"Instituto Português do Mar e da Atmosfera (IPMA), Divisão de Modelação e Gestão de Recursos da Pesca, Lisbon, Portugal" 61ed130bd12c5ff8170a9bcbb4e108657ec5942a,Automatic analysis of deep-water remotely operated vehicle footage for estimation of Norway lobster abundance,"Centro de Ciências do Mar (CCMAR) - Campus de Gambelas, Faro, Portugal" -61f56afc7713ebfacfe382d1824966cb9b967d34,An Ensemble of Invariant Features for Person Reidentification,"Huawei Research and Development, Santa Clara, CA, USA" 6144af24ce06af7d8cdd606e79cea5d6e73e2135,3D face landmark auto detection,"University of sciences of Monastir, Monastir, Tunisia" -6144af24ce06af7d8cdd606e79cea5d6e73e2135,3D face landmark auto detection,"Université Of Bourgogne, France" -6121dafcacdba9aa3cafb0c2d4eb40544be88c3d,A novel scheme for 3D face recognition based on partial differential equations,"Department of Computer Science and Technology, Harbin University of Science and Technology, China" 612b8eda338fcde9400ea93779741282fe4132d6,Scheming an efficient facial recognition system using global and random local feature extraction methods,"Computer and Software Engineering Department, Toros University, Mersin, Turkey" 612b8eda338fcde9400ea93779741282fe4132d6,Scheming an efficient facial recognition system using global and random local feature extraction methods,"Department of Electronic and Electrical Engineering, Gaziantep University, Gaziantep, Turkey" 61262450d4d814865a4f9a84299c24daa493f66e,Biometric recognition in surveillance scenarios: a survey,"Institute of High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR), Naples, Italy" -61e84707f98e4e46e60cda61be9f2defac7d6843,STARS: A new ensemble partitioning approach,"Computer Aided Medical Procedures, Technische Universität München, Germany" -61fe4426929c3b066b93a582667e3f0cc3b41959,DeepKnuckle: revealing the human identity,"National Institute of Technology, Hamirpur, India" -61003316e5dc4fbb36749a66f37f89a819be73f5,Facial feature point detection using simplified gabor wavelets and confidence-based grouping,"Institute for Electronics, Signal Processing and Communications, Otto-v.-Guericke University, Magdeburg, Germany" 6193ddcb2500e696ad572e6b483eab65c66f8c44,Gait tracking and recognition using person-dependent dynamic shape model,"Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA" 619442b4e5503e80941ce7de87eb12da0cce2b23,Face image super-resolution with pose via nuclear norm regularized structural orthogonal Procrustes regression,"Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, People’s Republic of China" 619442b4e5503e80941ce7de87eb12da0cce2b23,Face image super-resolution with pose via nuclear norm regularized structural orthogonal Procrustes regression,"Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Kitakyushu, Japan" -61955df5dd9f62b839b61ad6d4e5bf2ab887da86,Eigenpaxels and a neural-network approach to image classification,"C-Core, St. John's, Nfld., Canada" 61f1b14f04d2fa1d8a556adbdf93050b4637f44b,Total variation models for variable lighting face recognition,"Illinois Univ., Urbana, IL, USA" 61ead7459c4d49ed1e14b38e1d179ee408e4036b,Discriminative common vectors for face recognition,"Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA" 614992cb937db50a7739bce18c1ee806f71fbc7c,A Hog & Graph Based Human Segmentation from Video Sequences,"Computer Engineering Department, İnönü University, Malatya, Turkey" 61a768171bcaf5d0b5359af551d9732015bc4036,Getting through: modality selection in a multi-sensor-actuator industrial IoT environment,"JKU, Linz, Austria" -f7bf5b6b4c45a1df022c73a234a65ae77a3eab4a,Illumination and scale invariant relevant visual features with hypergraph-based learning for multi-shot person re-identification,"Department of Computer Science & Engineering, National Institute of Technology, Rourkela, India" -f7e91701ca7db1d9de3e8a1d082e2cf0cbbda7a5,Automatic 2D-to-3D image conversion using KNN search,"ENTC dept., Solapur University, N.B.N.Sinhgad College of Engineering, Kegoan, Solpaur, India" -f7ffc2dc6801b0feee7d863f02ae2ca34c3e6a66,Face recognition by optimal band selection in contourlet transform domain,"Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, India" -f72f6a45ee240cc99296a287ff725aaa7e7ebb35,Pedestrian Detection: An Evaluation of the State of the Art,"Caltech, Pasadena" f72f6a45ee240cc99296a287ff725aaa7e7ebb35,Pedestrian Detection: An Evaluation of the State of the Art,"MPI Informatics, Saabrucken" f71f3dd37793d7db809501e2eda47ca28052c946,Macroscopic analysis of crowd motion in video sequences,"Department of Electrical and Computer Engineering, University of Alabama at Birmingham, 35294, USA" f71f3dd37793d7db809501e2eda47ca28052c946,Macroscopic analysis of crowd motion in video sequences,"United Technologies Research Center, 411 Silver Lane, East Hartford, CT 06108, USA" @@ -4968,137 +2946,74 @@ f75229ac6e06bba98b926574661735f7bacdc396,Analysis of patterns of motor behavior f7ae38a073be7c9cd1b92359131b9c8374579b13,Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression,"Department of Medical Biophysics, University of Western Ontario, London, ON, Canada" f7ae38a073be7c9cd1b92359131b9c8374579b13,Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression,"Departments of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada" f732ff3e718ae0f86c5d8cf66b30a18878762863,Local Generic Representation for Face Recognition with Single Sample per Person,"LG Electronics Institute of Technology, Seoul, Korea" -f7091323c825553e1c5bae6969516fd3bf9c0617,Visual control system design of wheeled inverted pendulum robot based on Beaglebone Black,"College of Information Science and Engineering, Dalian Maritime University, Dalian 116026, China" -f7091323c825553e1c5bae6969516fd3bf9c0617,Visual control system design of wheeled inverted pendulum robot based on Beaglebone Black,"College of Transportation and Management, Dalian Maritime University, Dalian 116026, China" -f7ea5ef9b277ff45d8aac1b1eefeaaa601c2a726,Image annotation of power grid objects based on convolutional neural networks,"NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, China" f780c064fc7a3ded0412a6eac184ada57338f650,Learning robotic eye–arm–hand coordination from human demonstration: a coupled dynamical systems approach,"Learning Algorithms and Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne, EPFL-STI-I2S-LASA, Lausanne, Switzerland" f780c064fc7a3ded0412a6eac184ada57338f650,Learning robotic eye–arm–hand coordination from human demonstration: a coupled dynamical systems approach,"Computer Vision and Robotic Laboratory, Instituto Superior Técnico, Lisbon, Portugal" -f702f1294c0cd74b31db39c698281744d3137eb4,Efficient Facial Expression Ecognition and classification system based on morphological processing of frontal face images,"Department of Electrical and Electronics, National Institute of Technology Surathkal, Mangalore, India" -f7e131796418a79ff38f426abf5acb846230708a,Exploring Macroscopic Fluctuation of Facial Expression for Mood Disorder Classification,"Graduate Program of Multimedia Systems and Intelligent Computing, National Cheng Kung University and Academia Sinica, Tainan, Taiwan" f7c155f9bfb55ecd7518feb7cc8854aee36b43ed,Multimanifold analysis with adaptive neighborhood in DCT domain for face recognition using single sample per person,"Department of Computer Eng., Faculty of Eng., Sari Islamic Azad University, Sari, Iran" f7c155f9bfb55ecd7518feb7cc8854aee36b43ed,Multimanifold analysis with adaptive neighborhood in DCT domain for face recognition using single sample per person,"Faculty of Electrical and Computer Eng., Babol University of Technology, Babol, Iran" f75f798d428831fcfa786b1884934032a397fcb5,Real-time active shape models for face segmentation,"Dept. of Appl. Electron., Fraunhofer Inst. for Integrated Circuits, Erlangen, Germany" f7aa587f5bcad000c07f41ac91c4fcd9ed3c2a8d,A fast eye localization and verification method to improve face matching in surveillance videos,"Department of Computer Science, University of Brasilia, DF 70910-900 Brazil" f7aa587f5bcad000c07f41ac91c4fcd9ed3c2a8d,A fast eye localization and verification method to improve face matching in surveillance videos,"Department of Electronic Engineering and Computer Science, The Catholic University of America, Washington, DC, USA" f7059afb640bf21787542f2163eb7a5c7fd0b687,Face hallucination and recognition in social network services,"Department of Multimedia, Sungkyul University, Anyang, Korea" -f7dbb15ed72d1282445178dab3368d7676763aa6,On multi-modal people tracking from mobile platforms in very crowded and dynamic environments,"Social Robotics Laboratory, University of Freiburg, Germany" 7588388b3f68c1a1a6b3b336d8387fee5c57c985,Detection and expression classification systems for face images (FADECS),"Dept. of Inf., Piraeus Univ., Greece" -751e9126b99c8c2552447c0bb1897ce5add6cf4a,Designing of 3D-face recognition system,"School of Information, Guizhou Financial Institute, Guiyang, China" -75013851e8264bde68983289e0c4d0ae92533ad3,Multi-support-region image descriptors and its application to street landmark localization,"Microsoft Research Redmond, Redmond, USA" 75753c1b07cf3e368762a401d591dcec6a8e8a53,Biohashing with Local Zernike Moments for face verification,"BILGEM - Ulusal Elektronik ve Kriptoloji Araştırma Enstitüsü (UEKAE), TÜBITAK, Kocaeli, Türkiye" 75753c1b07cf3e368762a401d591dcec6a8e8a53,Biohashing with Local Zernike Moments for face verification,"Sabaticı Üniversitesi, İstanbul, Türkiye" 75d86b9a537ab9f337ca38c22ed0d2ace9d1a34d,Predictive safety based on track-before-detect for teleoperated driving through communication time delay,"Automotive Technology, Technical University of Munich, Garching b. München, Germany" -75b4a3434023c5068c510b91bf4c3679e22ff3c7,Improved binary HOG algorithm and possible applications in car detection,"Dept. of Electronics, Telecommunications and IT, University “Politehnica” of Bucharest, Romania" -75a1406d26bc6faef8ffa3da00fdf6b7621b7754,Reliable scale estimation and correction for monocular Visual Odometry,"ANU (Australian National University), Australia" -7587a09d924cab41822a07cd1a988068b74baabb,Image scoring: Patch based CNN model for small or medium dataset,"Sichuan Police College, Luzhou, China" -75b60cdbaa2ab77b169ed0d1e478ebff07468ef8,Multiscale Logarithm Difference Edgemaps for Face Recognition Against Varying Lighting Conditions,"Department of Mathematics, Jiaying University, Meizhou, China" 75031316b3d1473d8994a068f43d57ad069d22ba,Inter-dependent CNNs for joint scene and object recognition,"University of California, Riverside, 92521, United States of America" 75f5c0c387f2e697f320c5fbf02fa28c5a7c92fb,"On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts","United Technologies Research Center, Cork, Ireland" -758d481bbf24d12615b751fd9ec121500a648bce,Robust face identification using DTCWT and PCA subspace based sparse representation,"Department of Instrumentation and Control Engineering, PSG College of Technology, Coimbatore, India" -758d481bbf24d12615b751fd9ec121500a648bce,Robust face identification using DTCWT and PCA subspace based sparse representation,"Robert Bosch Engineering and Business Solutions Limited, Bangalore, India" 75329ae46925aceb6b9c10bb1fd118db434e1f9b,Face Recognition Using Sparse Fingerprint Classification Algorithm,"Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile" -75a7a42af98c20740050d459109b8c4c8ab18128,Text-indicated speaker recognition using kernel mutual subspace method,"NTT Data Corporation, Toyosu Center Bldg Annex, 3-3-9, Koto-ku, Tokyo 135-8671, Japan" -75d0a8e80a75312571951144aaa2d5dd5ae30e43,Polar Transformation on Image Features for Orientation-Invariant Representations,"College of Mathematics and Informatics, Fujian Normal University, Fuzhou 350108, China" 75e0d77d50dc0fe492f2c58c1ca86c5e21b2511c,A study on the effects of EEG and ECG signals while listening to Qur'an recitation,"Dept of computer science International Islamic University Malaysia (IIUM) Kuala Lumpur, Malaysia" 753988cd61d17a677511df50fc3f6c40ba29ae1c,Digital Image Watermarking via Adaptive Logo Texturization,"Department of Aerospace and Mechanical Engineering, Embry-Riddle Aeronautical University, Prescott, AZ, USA" 753988cd61d17a677511df50fc3f6c40ba29ae1c,Digital Image Watermarking via Adaptive Logo Texturization,"Department of Electrical and Electronic Engineering, Shizuoka University, Shizuoka, Japan" 7559688658fbfcfea6829ce48ff6583d1c3439f9,Capacity-aware Sequential Recommendations,"Adobe Systems, San Jose, CA, USA" 7559688658fbfcfea6829ce48ff6583d1c3439f9,Capacity-aware Sequential Recommendations,"Netflix, Los Gatos, CA, USA" -751fb994b2c553dc843774a5620bfcab8bc657fd,Data Mining Techniques for the Estimation of Variables in Health-Related Noisy Data,"Universidad de León, León, Spain" -75d7ba926ef1cc2adab6c5019afbb2f69a5ca27d,Face recognition under varying illumination,"Electronic Information Engineering College, Henan University of Science and Technology, Luoyang, China" -755d1f600b493136b71e8b7fec9b7d4c6af7bf21,Pornographic images detection using High-Level Semantic features,"School of Computer Science & Engineering, Xi'an University of Technology, China" -755d1f600b493136b71e8b7fec9b7d4c6af7bf21,Pornographic images detection using High-Level Semantic features,"Faculty of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, China" -75370d108f053f04dfbe8d42835f63fa165adcb6,Retrieving real world clothing images via multi-weight deep convolutional neural networks,"Engineering Research Center of Information Networks, Ministry of Education, Beijing, China" 751960b7e046b2d53315844f6e65b5ca945d7d36,Using latent features for short-term person re-identification with RGB-D cameras,"iTeam - Universitat Politècnica de València, València, Valencia, Spain" 754626bd5fb06fee5e10962fdfeddd495513e84b,Facial expression pair matching,Elektronik ve Haberleşme Mühendisliği Bölümü -756083723f91af82e55b8ad6b4ea7965d46c4ca8,A low complexity and efficient face recognition approach in JPEG compressed domain using quantized coefficients,"Multimedia Systems Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran" -75705f1254debc4a703ab9128c11d13cee0de66d,Multisensor fusion of visual and thermal images for human face identification using different SVM kernels,"Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar, Tripura, India" -75705f1254debc4a703ab9128c11d13cee0de66d,Multisensor fusion of visual and thermal images for human face identification using different SVM kernels,"Department of Physics, Tripura University (A Central University), Suryamaninagar, Tripura, India" 7a617426bc02c10dd781dbbe44d3fbc7a2ab5793,A neuro-inspired visual tracking method based on programmable system-on-chip platform,"School of Mathematics and Computer Science, Faculty of Science and Engineering, City Campus, University of Wolverhampton, Wolverhampton, England, UK" -7a617426bc02c10dd781dbbe44d3fbc7a2ab5793,A neuro-inspired visual tracking method based on programmable system-on-chip platform,"Intelligent Systems Research Centre, University of Ulster, Londonderry, UK" -7af4ee644a0b4269a080fc491f443b32d6930bff,Deep Multi-View Feature Learning for Person Re-Identification,UBTech Sydney Artificial Intelligence Institute -7af4ee644a0b4269a080fc491f443b32d6930bff,Deep Multi-View Feature Learning for Person Re-Identification,"UBTECH Robotics, Shenzhen, China" -7adaad633d3002f88cdee105d9c148e013202a06,Fuzzy local binary patterns: A comparison between Min-Max and Dot-Sum operators in the application of facial expression recognition,"Electrical Engineering Sharif University of Technology Tehran, Iran" 7ab7befcd319d55d26c1e4b7b9560da5763906f3,Facial Trait Code,"MediaTek, Inc., Hsinchu, Taiwan" 7a09f2c222aba43649ca654761d37ff1b1eb6140,Affective user threat profiling using computer vision-based heart rate estimation in profile-based surveillance environments,"Academy of Computer Science and Software Engineering, University of Johannesburg, Corner Kingsway and University Road Auckland Park, South Africa, 2092" 7a66e302652f50699304dedf46384d33edc9f4c1,A Kinect-Based Wearable Face Recognition System to Aid Visually Impaired Users,"Department of Computing, Federal University of Piauí, Teresina, Brazil" -7a0e9de471b25252afbf8cec566d4962538c5b78,Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation,TU Delft & Radboud University Nijmegen 7a0e9de471b25252afbf8cec566d4962538c5b78,Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation,University of Catania 7a0e9de471b25252afbf8cec566d4962538c5b78,Right inflight?: a dataset for exploring the automatic prediction of movies suitable for a watching situation,University of Klagenfurt 7abac083402d44a96769f9e68c8f6ad84ba80472,Beyond Eleven Color Names for Image Understanding,"Computer Vision Center/Computer Science Department, Universitat Autonoma de Barcelona, Barcelona, Spain" -7afd34046a8a0fd6bd2f2c5cc25e3793151b28c4,Explicit and implicit employment of edge-related information in super-resolving distant faces for recognition,"School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India" -7afd34046a8a0fd6bd2f2c5cc25e3793151b28c4,Explicit and implicit employment of edge-related information in super-resolving distant faces for recognition,"FotoNation Ltd., Galway, Ireland" -7a515a8d994f4605789c96bc7c389986797d1e34,Exploring the pattern of multi-scale directional second-order gradients for facial recognition,"University of Shanghai for Science and Technology, 200093, China" -7a982ca3fdf740874db2bb4cd04041a014b5d374,A Skin Segmentation Algorithm Based on Stacked Autoencoders,"Education Technology and Information Center, Shenzhen Polytechnic, Shenzhen, China" -7aa32e0639e0750e9eee3ce16e51e9f94241ae88,Automatic gender recognition for “in the wild” facial images using convolutional neural networks,"Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania" -7aa32e0639e0750e9eee3ce16e51e9f94241ae88,Automatic gender recognition for “in the wild” facial images using convolutional neural networks,"Faculty of Computer Science, Technical University, Cluj-Napoca, Romania" 7acbf0b060e948589b38d5501ca217463cfd5c2f,Learning Multiple Relative Attributes With Humans in the Loop,"Department of Computer Science, University of California at Davis, Davis, USA" 7a061e7eab865fc8d2ef00e029b7070719ad2e9a,Efficiently Scaling up Crowdsourced Video Annotation,"Department of Computer Science, UC Irvine, Irvine, USA" 7a061e7eab865fc8d2ef00e029b7070719ad2e9a,Efficiently Scaling up Crowdsourced Video Annotation,"Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, USA" 7a061e7eab865fc8d2ef00e029b7070719ad2e9a,Efficiently Scaling up Crowdsourced Video Annotation,"Department of Informatics, UC Irvine, Irvine, USA" 7afc3db34d9e16a70064ee4937b0425045cdb4e8,An efficient real-time emotion detection using camera and facial landmarks,"University of Science, Department of Computer Science, Ho Chi Minh city, Vietnam" 7afc3db34d9e16a70064ee4937b0425045cdb4e8,An efficient real-time emotion detection using camera and facial landmarks,"University of Information Technology, Department of Knowledge Engineering and Machine Learning, Ho Chi Minh city, Vietnam" -7a047428e6a6ba1486d54f9599ba3ce6201360c9,Requirements and Challenges of Multimedia Processing and Broadband Connectivity in Remote and Autonomous Vessels,"Ship Intelligence, Rolls-Royce Marine" 7aed6480ec8882075c7f8fab20b7d257acd65ae1,Human ear recognition based on local multi-scale LBP features with city-block distance,"PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Guelma, Algeria" -7aed6480ec8882075c7f8fab20b7d257acd65ae1,Human ear recognition based on local multi-scale LBP features with city-block distance,"LIASD research Lab., University of Paris 8, Saint-Denis, France" -7ad1638f7d76c7e885bc84cd694c60f109f02159,Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine,"College of Physics and Electronic Information, Wenzhou University, Wenzhou, China" 7a2b3eed5eeecf0b442d56b93dfda8cb88c10bf7,Deep learning for a smart e-learning system,"MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), MOHAMMED V UNIVERSITY (UM5), Rabat, Morocco" 7aa4ed5cf9b33e0c3d90616d52c0f264b416db54,Persona: A Method for Facial Analysis in Video and Application in Entertainment,Pontifical Catholic University of Rio Grande do Sul -7aa4ed5cf9b33e0c3d90616d52c0f264b416db54,Persona: A Method for Facial Analysis in Video and Application in Entertainment,Pontifical Catholic University of Rio de Janeiro 7aa4ed5cf9b33e0c3d90616d52c0f264b416db54,Persona: A Method for Facial Analysis in Video and Application in Entertainment,"Pontifical Catholic University of Rio Grande do Sul, PUCRS - Porto Alegre, Brazil" 7ae8acf20f9415f99bfb95aa000d698b8499f1ee,Recognition of facial expression using Haar-like feature extraction method,"School of Mechatornic Engineering, University Malaysia Perlis (UniMAP), Malaysia" 7ae33229eb26ba8567c29a44289dfeb803ab2426,Comparing data-dependent and data-independent embeddings for classification and ranking of Internet images,"Department of Computer Science, UNC Chapel Hill, NC, 27599" 7a8ac613f2cadc6ae6ae62ba7e68b474721671e2,Decoding Perceived Hazardousness from User's Brain States to Shape Human-Robot Interaction,"University of Freiburg, Freiburg, Germany" -7bfc7e45967897223b5d9278d0ef29cb2b5789be,Up to a Limit?: Privacy Concerns of Bystanders and Their Willingness to Share Additional Information with Visually Impaired Users of Assistive Technologies,"Microsoft Research India Pvt. Ltd, Bangalore, Karnataka, India" 7bfc38e15589f9ffb471e152297f5419fdc9ba8d,Gender classification using M-estimator based radial basis function neural network,"Department of Communication Engineering, Yuan Ze University, Chungli, Taiwan" 7b46135815a3ef42e83607c24a5512ce811ef894,Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits,"Embedded Systems Laboratory, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland" 7b46135815a3ef42e83607c24a5512ce811ef894,Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits,"Department of Electrical Engineering, University of California at Los Angeles, Los Angeles, CA" 7bdac8773dffc917e678db342ccbefdae238fb57,Multimodal low resolution face recognition using SVD,"Dept. of EC Engineering, LBS Institute of technology for Women, Poojapura, Trivandrum, Kerala" 7bdac8773dffc917e678db342ccbefdae238fb57,Multimodal low resolution face recognition using SVD,"Dept. of EC Engineering, LBS Institute of Technology for Women, Poojapura, Trivandrum, Kerala" 7b8ace072475a9a42d6ceb293c8b4a8c9b573284,Conditional Random Fields for multi-camera object detection,"ETHZ, Zurich (Switzerland)" -7b8ace072475a9a42d6ceb293c8b4a8c9b573284,Conditional Random Fields for multi-camera object detection,"EPFL, Lausanne (Switzerland)" -7bf7483f96a5f08a0c762831f7214b4caf451d24,Improving object detection accuracy with region and regression based deep CNNs,"North China Sea Environmental Monitoring Center, State Oceanic Administration" -7bf7483f96a5f08a0c762831f7214b4caf451d24,Improving object detection accuracy with region and regression based deep CNNs,"School of Information Science and Engineering, Ocean University of Chisana, Qingdao, China" 7b304d7771ab7eb7734fb7428087d80c83accef7,Factored particle filtering with dependent and constrained partition dynamics for tracking deformable objects,"AMF-319, IŞIK University, Ístanbul, Turkey" -7b90c6b91386626809513c85c96207425acaf2b7,A survey on visual surveillance of object motion and behaviors,"Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China" -7b8bc2ff998c8ad5fd0464da8da3b42c32d51750,Pose-RCNN: Joint object detection and pose estimation using 3D object proposals,"Daimler AG, Research and Development. Ulm, Germany" 7b8bc2ff998c8ad5fd0464da8da3b42c32d51750,Pose-RCNN: Joint object detection and pose estimation using 3D object proposals,"Informatics Institute, Faculty of Science, University of Amsterdam. The Netherlands" 7bb929b8ff2f83de91318865232819be8b13fbe5,Discriminant Context Information Analysis for Post-Ranking Person Re-Identification,"Department of Electronics, University of Alcalá, Madrid, Spain" 7bb929b8ff2f83de91318865232819be8b13fbe5,Discriminant Context Information Analysis for Post-Ranking Person Re-Identification,"Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy" -7b28725e63a038f5eb4f25c69ecd3e745d382c37,System Architecture of a Driverless Electric Car in the Grand Cooperative Driving Challenge,"Universite de Techonologie de Compiegne, Sorbonne Universites, Compiegne, France" 7b35e6b9bb6575eddd5d4598481007c154f2bf9a,Online Adaptation and Energy Minimization for Hardware Recurrent Spiking Neural Networks,"Texas A8M University, TX, USA" 82cd5a5fec8a27887a35f1ecec684ec55eefad73,Using sparse coding for landmark localization in facial expressions,"Dipartimento di Informatica, Università di Milano, Via Comelico 39/40, 20135, Italy" -8298420666fc817271b52379d3f2a96d8990fcbf,Hybrid-augmented intelligence: collaboration and cognition,"National Engineering Laboratory of Visual Information Processing Applications, Xi’an Jiaotong University, Xi’an, China" -8298aa4a508a9586e5d54777b897eae64165a071,Person re-identification based on viewpoint correspondence pattern,"Department of Computer Science and Engineering, University of Electronic Science and Technology, Sichuan, China" -82405ab7fcca6c008371a74a23562091912260f3,Learning to Transfer: Generalizable Attribute Learning with Multitask Neural Model Search,"Southwest Jiaotong University & Carnegie Mellon University, Chengdu, China" -82405ab7fcca6c008371a74a23562091912260f3,Learning to Transfer: Generalizable Attribute Learning with Multitask Neural Model Search,"Zhejiang University & Carnegie Mellon University, Hangzhou, China" -82451d0ae2e0154b5f9cd096af199c35319e911a,Image spam filtering using convolutional neural networks,"Administrative Office of Computer School of Pingdingshan University, Pingdingshan, China" 82be2ede6b7613286b80c3e2afe3b5353f322bed,Learning cross-modality similarity for multinomial data,"UC Berkeley EECS, USA" 82654a18289d3f931fc455c3714b54c8062ff521,Very deep feature extraction and fusion for arrhythmias detection,"Faculty of Computers and Information, Menoufia University, Menoufia, Egypt" 82654a18289d3f931fc455c3714b54c8062ff521,Very deep feature extraction and fusion for arrhythmias detection,"Department of Computer Science, University of Frères Mentouri, Constantine, Algeria" -82f293d1a33cb92c1cf3e9f9386509e8b3cbcc81,Point-Triplet Spin-Images for Landmark Localisation in 3D Face Data,"Autonomous University of the State of Mexico, Toluca, Mexico" -820bdbe2d34198568b31658bd2fabcc2eeead469,Fast Deformable Model for Pedestrian Detection with Haar-like features,"Department of Electronics & Communication Engineering, Delhi Technological University, India" 824364e018b4445bcc61ae86e112e68a4a067108,Person re-identification using sparse representation with manifold constraints,"Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy" -82007bd70d83869fdbe39c03bda0b4459991fda7,Impact of temporal subsampling on accuracy and performance in practical video classification,"IBM Research - Zürich, 8803 Rüschlikon, Switzerland" -829a9912d0cfaba106d1d594caf8aa97f9ffb318,Evaluation of Local Tetra Pattern features for face recognition,"Council of Scientific and Industrial Research (CSIR), New Delhi, India" 82161d704bccae999e80a6fd54658aa35e143995,Pose estimation for a partially observable human body from RGB-D cameras,"Inria, Villers-les-Nancy, France" -821fb8b05108b7ce5312bc5cac3b0e5d56e279ab,Specific Person Retrieval via Incomplete Text Description,"Jiujiang University, Jiujiang, China" 82bb3bb057b6986c02f7a177c98b8fa2594a8eb8,Face recognition based on separable lattice 2-D HMMS using variational bayesian method,"Department of Scientific and Engineering Simulation, Nagoya Institute of Technology, Japan" 829739639a3a3e31136582e9f97625599a020ff3,Advanced Parallel Processing Technologies,"EPFL IC ISIM LAP, Lausanne, Switzerland" -829739639a3a3e31136582e9f97625599a020ff3,Advanced Parallel Processing Technologies,"Inspur, Shangdong, China" -82fb85517ee1bb3746348221de3d5347c6b3ed0e,Markov chain Monte Carlo based video tracking algorithm,"Moscow State University Department of Computational Mathematics and Cybernetics, Moscow, Russia" 826aa28f44628f1740b75da3ecaf76251d2e36e7,Human interaction recognition in YouTube videos,"Miss Poter's School, Farmington, USA" 826aa28f44628f1740b75da3ecaf76251d2e36e7,Human interaction recognition in YouTube videos,"Department of Control, Instrumentation Engineering, Hanbat National University, Daejeon, Korea" -1712178708eb74770af9fcce854dfe21af9d56fc,Human pose estimation in surveillance videos using temporal continuity on static pose,"Center for AI & Robotics, DRDO Complex, Bangalore, India" 1723227710869a111079be7d61ae3df48604e653,Multimodal emotion recognition with automatic peak frame selection,"Dept. of Mathematics and Computer Science, University of Udine, Italy" -177d03c5851f7082cb023a20fa8a2cd1dfb59467,Difference networks and second-order difference networks,"College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China" 176fc31a686fb70d73f1fa354bf043ad236f7aa3,A Database and Evaluation Methodology for Optical Flow,"Weta Digital, Wellington, New Zealand" 179564f157a96787b1b3380a9f79701e3394013d,MACH: my automated conversation coach,"MIT, Cambridge, MA, USA" 179564f157a96787b1b3380a9f79701e3394013d,MACH: my automated conversation coach,"LIMSI-CNRS, Orsay Cedex, France" 1745243fd21b29895ad9f21c4084dd24b10c39e2,Combination of kernels applied to face verification,"Face Recognition and Artificial Vision Group - Universidad Rey Juan Carlos, C/ Tulipán, s/n - Móstoles - 28933 - Spain" -17f10af27762b443e4a857b9ffd11aab68524682,Effective eye pupil localization with enhanced shape isotope cornea curvature technique,"CSE-Dept, Sathyabama University, Tamilnadu, India" -17f10af27762b443e4a857b9ffd11aab68524682,Effective eye pupil localization with enhanced shape isotope cornea curvature technique,"CSE, Jeppiaar Engineering College, Tamilnadu, India" -17196a4876f65123d83289e6e52d73f1f92ceffd,Face image super-resolution via weighted patches regression,"LEAR team, Inria Grenoble Rhone-Alpes, France" 17de5a9ce09f4834629cd76b8526071a956c9c6d,Smart Parental Advisory: A Usage Control and Deep Learning-Based Framework for Dynamic Parental Control on Smart TV,"Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Pisa, Italy" 17e997e6f724f8b92c0b91ad5d7f828714a510c6,Interactive adaptation of real-time object detectors,"International Computer Science Institute (ICSI), Berkeley, CA, USA" 17e997e6f724f8b92c0b91ad5d7f828714a510c6,Interactive adaptation of real-time object detectors,"EECS, University of California at Berkeley, Berkeley, CA, USA" @@ -5109,18 +3024,13 @@ f7dbb15ed72d1282445178dab3368d7676763aa6,On multi-modal people tracking from mob 1750399579e616cc3274b82f0c3c10562573e2f7,Electrophysiology and Psychophysiology in Psychiatry and Psychopharmacology,"Department of Psychiatry and Neurosciences, Department of Psychiatry and Neurosciences, University of Missouri Kansas City (UMKC), Kansas City, USA" 170d15b04ff9211378169037b5b28cdca6548541,Deep Learning and Preference Learning for Object Tracking: A Combined Approach,"Artificial Intelligence Center, University of Oviedo at Gijón, Gijón, Spain" 1792f5304fc9999a2981e45874f0d6ae3588b4bb,Detecting flaws in golf swing using common movements of professional players,"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan" -175d6e5f9d12a531966f8a2e2eb13e849ae1b38f,Locally adaptive texture features for multispectral face recognition,"Computer Vision and Systems Laboratory, Laval University, Quebec City G1V 0A6, Canada" 17e0d8f9cc53f2c711d73eb7af33f59302a1ce85,Bicyclist detection in large scale naturalistic driving video,"Department of Electrical and Computer Engineering, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA" 17e0d8f9cc53f2c711d73eb7af33f59302a1ce85,Bicyclist detection in large scale naturalistic driving video,"Department of Computer Science, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA" -17be95132dc3dc121822703e3c8476edd199a10f,Passive vision: The global webcam imaging network,"Computer Science and Engineering, Washington University in St. Louis" -17b170920b34f21a59917ddea7bcb5e5848c642b,DWT-ELBP based model for face recognition,"Electrical Engineering Department Jorhat Engineering College Jorhat, India" -17342b1c4caccfc499d9ae55a68d7b93285c5d6b,Action recognition in still images using a combination of human pose and context information,"Tsinghua National Laboratory for Information Science and Technology, Tsinghua Uinversity, Department of Electronic Engineering, Beijing 100084, China" 17501551acce05bfde4f0af77c21005f96e80553,Tracking topology structure adaptively with deep neural networks,"Department of Computer Science and Engineering, Chinese University of Hong Kong, Hongkong, People’s Republic of China" 17ecd1a68ee571c47a571c9236b8ac299046ec02,Real-time small obstacle detection on highways using compressive RBM road reconstruction,"IBM Research Tokyo, Tokyo Research Lab, Toyosu, Japan" 17444ea2d3399870939fb9afea78157d5135ec4a,Multiview Hessian Regularization for Image Annotation,"Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia" 1773d65c1dc566fd6128db65e907ac91b4583bed,Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach,"Department of Electrical and Computer Engineering, Beckman Institute Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA" 17bc977c47562210d54966ce412804b237b1d763,Layer-by-layer Adaptively Optimized ECC of NAND flash-based SSD Storing Convolutional Neural Network Weight for Scene Recognition,"Electronic, and Communication Engineering, Chuo University, Department of Electrical, Tokyo,Japan" -171f51ed4d084f0df52604d80cd8fb304c163ba1,Towards Designing an Adaptive Framework for Facial Image Quality Estimation at Edge,"Dept of Computer Engineering, MIT College of Engineering" 171f51ed4d084f0df52604d80cd8fb304c163ba1,Towards Designing an Adaptive Framework for Facial Image Quality Estimation at Edge,Project Lead Persistent Systems Ltd 171f51ed4d084f0df52604d80cd8fb304c163ba1,Towards Designing an Adaptive Framework for Facial Image Quality Estimation at Edge,MIT World Peace University 17d03da4db3bb89537d644b682b2a091d563af4a,Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons,"Department of Statistics and Operational Research, Faculty of Mathematics, Complutense University of Madrid, Madrid, Spain" @@ -5133,69 +3043,34 @@ f7dbb15ed72d1282445178dab3368d7676763aa6,On multi-modal people tracking from mob 7784eaf5bbbd45ceee61329ad5216d08493e1670,Integration strategies for audio-visual speech processing: applied to text-dependent speaker recognition,"Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Australia" 77f1c87d8ad030be67666028065dfa4a109e0ed6,BAFS: Bundle Adjustment With Feature Scale Constraints for Enhanced Estimation Accuracy,"Technion Autonomous Systems Program, Technion—Israel Institute of Technology, Haifa, Israel" 77f1c87d8ad030be67666028065dfa4a109e0ed6,BAFS: Bundle Adjustment With Feature Scale Constraints for Enhanced Estimation Accuracy,"Department of Aerospace Engineering, Technion—Israel Institute of Technology, Haifa, Israel" -77362789d04db4c51be61eaffa4f43e03759e677,Fuzzy Analysis and Deep Convolution Neural Networks in Still-to-video Recognition,"Nizhny Novgorod State Linguistic University, Nizhny Novgorod, Russia" 7730d2a16d6b85edfacdfa37124abda79a667702,Guest Editorial: Image and Language Understanding,"Google, Seattle, USA" 77830a8d2e6fed5678f91dbc9a0a278c3f051266,SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition,"GRAM, Dept. of Signal Theory and Communications, University of Alcalá, Alcalá de Henares, Spain" -771e27c4b53f58622e6f03788b5102e5e70b1e49,Facial Attribute Recognition by Recurrent Learning With Visual Fixation,"Electronics and Telecommunications Research Institute, Daejeon, South Korea" 771e27c4b53f58622e6f03788b5102e5e70b1e49,Facial Attribute Recognition by Recurrent Learning With Visual Fixation,"School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea" 77516bc906d7d924cbfd8a2bf43dc06eea516163,A multi-biometric recognition system based on deep features of face and gesture energy image,"Department of Electronics and Communications Engineering Yildiz Technical University, Istanbul, Turkey" 77516bc906d7d924cbfd8a2bf43dc06eea516163,A multi-biometric recognition system based on deep features of face and gesture energy image,"Tubitak Bilgem Information Technologies Institute, Kocaeli, Turkey" -770bf54c87e55c986c5bc383f3ba240284ef8908,Design of a 3-D Infrared Imaging System Using Structured Light,"Chinese Academy of Engineering, Beijing, China" 7701952e405c3d8a0947e2a309de281aa76bd3f4,Two-class Linear Discriminant Analysis for Face Recognition,"Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: ekenel@ira.uka.de" 7701952e405c3d8a0947e2a309de281aa76bd3f4,Two-class Linear Discriminant Analysis for Face Recognition,"Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: stiefel@ira.uka.de" -776a4575812e6e177c91b3e05d55dba98db8557b,A discriminative model for facial expression recognition using local directional number pattern,"Dept. of Electronics Engineering, Pondicherry University, Puducherry, India" 775d5676dfda56c80c87dca30bd611f8fabd9ff6,Improved SIFT matching for pose robust facial expression recognition,"Department of Computer Engineering, Cyprus International University, via Mersin 10, Turkey" 7782627fa2e545276996ff9e9a1686ac496df081,Enhanced Autocorrelation in Real World Emotion Recognition,"University of Ulm, Ulm, Germany" 77f98d1dc114e4a7a99bbdb2363d74f549dfa417,Multi-camera based human localization for room utilization monitoring system,"TAIST Tokyo Tech, ICTES Program, School of ICT, Sirindhorn International Institute of Technology, Thammasat University, Thailand" -77967f001fbadab624318e79013df3abc95fa52c,Sparse subspace clustering with low-rank transformation,"College of Engineering, Northeast Agricultural University, Harbin, China" -77967f001fbadab624318e79013df3abc95fa52c,Sparse subspace clustering with low-rank transformation,"College of Economics and Management, Northeast Agricultural University, Harbin, China" -77967f001fbadab624318e79013df3abc95fa52c,Sparse subspace clustering with low-rank transformation,"College of Science, Northeast Agricultural University, Harbin, China" -77927f4f812513d6ecfef26e0ddbc53c85796ccb,Graph PCA Hashing for Similarity Search,"Guangxi Key Laboratory of MIMS and the College of Computer Science and Information Technology, Guangxi Normal University, Guilin, China" -77927f4f812513d6ecfef26e0ddbc53c85796ccb,Graph PCA Hashing for Similarity Search,"School of Mathematics and Statistics, Xian Jiaotong University, Xian, China" 776d4718b3643d30d642e6985e02dc9343b8ae83,Multiple Hypothesis Tracking in camera networks,"Institute for Systems and Robotics / IST, Technical University of Lisbon, Portugal" 776d4718b3643d30d642e6985e02dc9343b8ae83,Multiple Hypothesis Tracking in camera networks,"L2F - INESC-ID, Systems and Computers Research Institute, Lisbon, Portugal" d3b751f284a1b92c7715ee6a3204f17f485516aa,Face Detection Using Mixture of MLP Experts,"School of Cognitive Sciences, Institute for Studies on Theoretical Physics and Mathematics, Tehran, Iran" d3b751f284a1b92c7715ee6a3204f17f485516aa,Face Detection Using Mixture of MLP Experts,"Department of Electrical Engineering, Tarbiat Modarres University, Tehran, Iran" d3b751f284a1b92c7715ee6a3204f17f485516aa,Face Detection Using Mixture of MLP Experts,"Department of Electrical Engineering, Shahid Rajaee University, Tehran, Iran" -d3409f66d35f5828affda26fc3416771eb8154b1,Verification of family relation from parents and child facial images,"Department of Computer Science & Engineering Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India" -d3085beb80b08376ee8d3bb79d1034a4a9c71c8d,Immersive Trip Reports,"Brno University of Technology & Adobe Research, Brno, Czech Rep" d3085beb80b08376ee8d3bb79d1034a4a9c71c8d,Immersive Trip Reports,"Brno University of Technology, Brno, Czech Rep" -d3f40b393e0e6a88ae4b4072e01ddb0b420300af,Efficient face and facial expression recognition model,"Department of Computer Engg, Vishwakarma Institute of Technology, Pune-46, Maharashtra, India" d3f40b393e0e6a88ae4b4072e01ddb0b420300af,Efficient face and facial expression recognition model,"University of Thiqar, Iraq" -d3f40b393e0e6a88ae4b4072e01ddb0b420300af,Efficient face and facial expression recognition model,"Department of E & TC, Pimpari Chinchwad College of Engineering, Pune-44, India" d3e980c3f88b98ccde525f2ddcc8df3abca1ca01,Binarized eigenphases applied to limited memory face recognition systems,"Electrical Engineering Department, Kuwait University, Safat, Kuwait" d3bc28d99301082653f73288c68bbdddda1585dc,A weighted feature fusion scheme for multi-behaviometrics,"National Formosa University, Yunlin, Taiwan" d38b32d91d56b01c77ef4dd7d625ce5217c6950b,Unconstrained gender classification by multi-resolution LPQ and SIFT,"Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Ngo Quyen, Hai Phong" d37a88bb3e3840464bbc177569b76cf3aa1ec081,Improving 3D face geometry by adapting reconstruction from stereo image pair to generic Morphable Model,"Computer Vision and Remote Sensing, Technical University, Berlin, Germany" -d37a88bb3e3840464bbc177569b76cf3aa1ec081,Improving 3D face geometry by adapting reconstruction from stereo image pair to generic Morphable Model,"Electrical Engineering Department, IIT Roorkee, India" -d3ae825a19b7a0b1645412368403814dbebcd113,Application of two-dimensional canonical correlation analysis for face image processing and recognition,"West Pomeranian University of Technology, Szczecin, Poland" -d3ae825a19b7a0b1645412368403814dbebcd113,Application of two-dimensional canonical correlation analysis for face image processing and recognition,"St.-Petersburg Electrotechnical University, St.-Petersburg, Russia" -d353b30b9ca3124fad08e3bdc8167dfe994efb34,Dual Learning for Visual Question Generation,"Center for Future Media & School of Computer Science and Engineering University of Electronic Science and Technology of China, China" -d353b30b9ca3124fad08e3bdc8167dfe994efb34,Dual Learning for Visual Question Generation,"Kyushu Institute of Technology, Japan" -d353b30b9ca3124fad08e3bdc8167dfe994efb34,Dual Learning for Visual Question Generation,"Qualcomm Technologies, Inc., San Diego, CA" d3f17c2b4e44f008a547fb8c9154bc8465493afc,Radiographic analysis of peri-implant trabecular bones after implant placement,"Department of Oral and Maxillofacial Radiology, School of Dentistry, Wonkwang University, Iksan, Korea" -766209460c41d18ec357c6e1c8e79480b0c3c0f0,A Discriminatively Learning Model with Illumination Transfer for Inter-Camera Pedestrians Association,"Fuzhou University, Fuzhou, Fujian, China" -76fe2c44c1b803425e609b8d847733fbbddabc0b,A novel object recognition system for cognitive robot,"School of Computer Science and Technology, University of South China, Hunan, China" -761304bbd259a9e419a2518193e1ff1face9fd2d,Robust and computationally efficient face detection using gaussian derivative features of higher orders,"INRIA Grenoble-Rhône-Alpes Research Center, France" -7634fd094c435e2084abe3f5553bd814c9d0ec40,Genetic algorithm assisted by a SVM for feature selection in gait classification,"Faculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano 380-8553, Japan" 76d7cec5b32a2624b7a7a0cce4eaf4d43a3fefb7,Dataset Optimization for Real-Time Pedestrian Detection,"INRIA Sophia Antipolis Meditérannée, Valbonne, France" -768dc78ee5640cf49775b573c629fa569bf04a4e,Human detection and tracking using new features combination in particle filter framework,"Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran" -7698ba9fd1f49157ca2666a93311afbf1ff4e66c,Visual object detection with deformable part models,"EECS, UC Berkeley" 76725cdaf2b5d78a5b95f2aff134593b78c42cab,Optimizing Soft Error Reliability Through Scheduling on Heterogeneous Multicore Processors,"Department of Electronics and Information Systems, Ghent University, Ghent, East Flanders, Belgium" 76725cdaf2b5d78a5b95f2aff134593b78c42cab,Optimizing Soft Error Reliability Through Scheduling on Heterogeneous Multicore Processors,"Intel, Kontich, Belgium" -7668ce758af72df8e0a10d4b3cb0fd58092fe3e1,Probabilistic and ternary representation of attributes in attribute based object classification,"Deniz Harp Okulu, Turkey" -763b60feaabceebbe9eddfbaa0378b8b454327aa,Smile detection in the wild with deep convolutional neural networks,"PolyU Shenzhen Research Institute, Shenzhen, China" 763b60feaabceebbe9eddfbaa0378b8b454327aa,Smile detection in the wild with deep convolutional neural networks,"Department of Computer Science, Chu Hai College of Higher Education, Tuen Mun, Hong Kong" -76a313ca56efaaf03c854b2c3fc94b514fbc5e75,A novel approach for multimodal face recognition system based on modular PCA,"Department of ECE LBSITW, Poojappura Trivandrum, India" -76a313ca56efaaf03c854b2c3fc94b514fbc5e75,A novel approach for multimodal face recognition system based on modular PCA,"Department of ECE Marian Engineering College Trivandrum, India" -760c5d7392f4f193312af0f5c4f178b73f3f77d2,Rotated Profile Signatures for robust 3D feature detection,"Progeny Systems Corporation, 9500 Innovation Drive, Manassas VA 20110, USA" -9a00aa841e631589fa5c4b3ac4107e4dc9b25f3b,Eyegaze Tracking In Handheld Devices,"Tata Consultancy Services Ltd., TCS Research & Innovation, Kolkata, India" -9a00aa841e631589fa5c4b3ac4107e4dc9b25f3b,Eyegaze Tracking In Handheld Devices,"Department of Computer Science & Engineering, India Jadavpur University, Kolkata, India" 9a37ce9d206a1ea9241aa8405b50c8078fc8dd34,Human pose estimation using motion priors and ensemble models,Toyota Technological Institute -9adc420f1f9c97fc1fb7975447fdf244b061bbbc,Learning Computational Models of Video Memorability from fMRI Brain Imaging,"Civolution Technology, Eindhoven, The Netherlands" 9adc420f1f9c97fc1fb7975447fdf244b061bbbc,Learning Computational Models of Video Memorability from fMRI Brain Imaging,"Department of Computer ScienceCortical Architecture Imaging and Discovery Laboratory, University of Georgia, Athens, GA, USA" -9afe080ea6b9cc46f0e99cb283c265f3e6b73408,Inertia constrained visual odometry for navigational applications,"CSIR-Central Scientific Instruments Organisation, Chandigarh, India" -9afe080ea6b9cc46f0e99cb283c265f3e6b73408,Inertia constrained visual odometry for navigational applications,"Indian Institute of Engineering Science and Technology, Shibpur, India" 9ae25adfda5e9788e740886080856d12a9f0d95f,A Simple Approach to Multiview Face Hallucination,"Department of Computer Science, Johns Hopkins University, Baltimore, United States" 9a9877791945c6fa4c1743ec6d3fb32570ef8481,The M2VTS Multimodal Face Database (Release 1.00),"Laboratoire de Télécommunications et Télédétection, UCL, Louvain-La-Neuve, Belgium" 9a61efd9923de107efd3487d6538855c62926a6e,PRNU-based detection of morphed face images,"WaveLab - The Multimedia Signal Processing and Security Lab, Universität Salzburg, Austria" @@ -5204,18 +3079,10 @@ d3f17c2b4e44f008a547fb8c9154bc8465493afc,Radiographic analysis of peri-implant t 9a845ce802227a13de16f3e29eebeb3c8817f83b,Convolutional neural network approach for vision based student recognition system,"Dept. of CSE, SUST Sylhet, Bangladesh" 9a49c7d584359bb444a81bcca55b03eb6b944c4c,ANDImage: An adaptive architecture for nude detection in image,"Instituto de Engenharia e Geociências, Universidade Federal do Oeste do Pará, Santarém, Pará, Brasil" 9a49c7d584359bb444a81bcca55b03eb6b944c4c,ANDImage: An adaptive architecture for nude detection in image,"Instituto de Computação, Universidade Federal do Amazonas, Manaus, Amazonas, Brasil" -9a7973f85c7db836efc5d00eab80019d7a94fade,3D Face & 3D Ear Recognition: Process and Techniques,"Department of CS and IT, Dr. B A M University, Aurangabad, (MH), India" 9a9702372e243c5330d6e61d345d9e6f14e0148f,Auto Associative Neural Network based Active Shape Models,"DII, Università degli Studi di Siena, Via Roma, 56 - 53100 (Italy)" 9a6da02db99fcc0690d7ffdc15340b125726ab95,Boosting Invariance and Efficiency in Supervised Learning,"Dept. of Biomedical Eng., University of Padua, Italy. enrico.grisan@unipd.it" -9a84588fe7e758cfbe7062686a648fab787fc32f,Human facial expression recognition using curvelet feature extraction and normalized mutual information feature selection,"Division of Digital Media Engineering, Sang-Myung University, Suwon, Republic of Korea" 9af012d1df7ec582ad4ff3181e15a536db310693,A Comparison of Features Spaces for Face Recognition Problem,"Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, gtumuklu@ceng.metu.edu.tr" -9ab471f5bb6a9d8232afad2918a1ff4180ac02aa,Recognizing human actions by two-level Beta process hidden Markov model,"School of Mathematics and Statistics, Guangdong University of Finance and Economics, Guangzhou, China" -9af50efd1226743c8404245665f55a6b86baa429,Radial basis function neural network-based face recognition using firefly algorithm,"Department of Computer Science and Information Systems, Birla Institute of Technology and Science (BITS), Pilani, India" -9af50efd1226743c8404245665f55a6b86baa429,Radial basis function neural network-based face recognition using firefly algorithm,"Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS), Pilani, India" -9ad0d957138db7fcad7db77bacfdd5c1c728031c,Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images,"Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India" -9ad0d957138db7fcad7db77bacfdd5c1c728031c,Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images,"School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India" 9ad0d957138db7fcad7db77bacfdd5c1c728031c,Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images,"Centre for Image Analysis, Uppsala University, Uppsala, Sweden" -9ad0d957138db7fcad7db77bacfdd5c1c728031c,Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images,"Medical College Kolkata, Kolkata, India" 9a1e29d9f23a6a3ba017dcb382e4b37bc705009e,"The past, present, and future of gaze-enabled handheld mobile devices: survey and lessons learned","LMU Munich, Germany and University of Glasgow, Scotland" 9a1e29d9f23a6a3ba017dcb382e4b37bc705009e,"The past, present, and future of gaze-enabled handheld mobile devices: survey and lessons learned","LMU Munich, Germany and Munich University of Applied Sciences, Germany and Bundeswehr University Munich, Germany" 9a4d73973f2914a1cd7fc666263dd9b990d5d405,Performance evaluation of the Intel Xeon Phi manycore architecture using parallel video-based driver assistance algorithms,"Leibniz Universität Hannover, Institute of Microelectronic Systems, 30167 Hanover, Germany" @@ -5223,40 +3090,21 @@ d3f17c2b4e44f008a547fb8c9154bc8465493afc,Radiographic analysis of peri-implant t 16d8304a1d8a5cb2288a5af90a09fd09d8b7ae09,Multi-Class Object Detection from Aerial Images Using Mask R-CNN,"U.S. Army Engineer Reserch and Development Center, Information Technology Laboratory, Vicksburg, MS, United States" 1665835aa8146a71dcb83e12dede78e3f3f06e7e,Identity recognition based on the external shape of the human ear,"Laboratory of Inverse Problems, Modeling, Information, and Systems (PI:MIS), Department of Electronics and Telecommunications, University of May 08 1945, B.P box 401, Guelma 24 000, Algeria" 162c0826c27517309b7e27b0d1970e34c094596d,A kernelized sparsity-based approach for best spectral bands selection for face recognition,"LE2i Laboratory, University of Burgundy, Dijon, France" -16022bcba6849cdbcf5866a075daa8e24c218c13,CNN-based multi-frame IMO detection from a monocular camera,"Visual Sensorics & Information Processing Lab, Goethe University Frankfurt am Main, Germany" 1629148029595a5c728edb89aee90dc4797e9881,"Do hyperactivity, impulsivity and inattention have an impact on the ability of facial affect recognition in children with autism and ADHD?","Dept. of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Köln, Germany" 162025eda333e4e927185a52bf9bd9c0c588919f,Collar Line Segments for fast odometry estimation from Velodyne point clouds,"Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic" -1623be99eb8266c9dab2300ac61bf279b65fc176,Design and implementation of networked real-time control system with image processing capability,"Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin, China" 1623be99eb8266c9dab2300ac61bf279b65fc176,Design and implementation of networked real-time control system with image processing capability,"School of Engineering The University of South Wales Pontypridd CF37 1DL, United Kingdom" 16ab146b88cde533861ac5d409923579613fdf0f,3D face recognition without variable facial expression,"Islamic Azad University Shazand Branch, Iran" 16ab146b88cde533861ac5d409923579613fdf0f,3D face recognition without variable facial expression,"Islamic Azad University Arak Branch, Iran" 16ab146b88cde533861ac5d409923579613fdf0f,3D face recognition without variable facial expression,"Islamic Azad University Arak Branch, Young Researchers Club Arak, Iran" -163bcc83da66e29e764c762708e75e0df6a320ec,Non-parametric lane estimation in urban environments,"Faculty of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany" -16d7ca53474bf74cf242472a5cf7f427796fdd04,A novel infrared face recognition based on local binary pattern,"Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, Jiangxi, 330013, China" -16d7ca53474bf74cf242472a5cf7f427796fdd04,A novel infrared face recognition based on local binary pattern,"School of information technology, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China" 167ef72a08832f02e0bb4bb60b61b44adca4f804,People tracking in multi-camera systems: a review,"LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France" -167ef72a08832f02e0bb4bb60b61b44adca4f804,People tracking in multi-camera systems: a review,"SeaTech School, Toulon University, La Garde, France" -16ee8df3c0202a2756117ab0686cffda65362a4c,Magnify-Net for Multi-Person 2D Pose Estimation,Samsung Computer Vision Group Telecom R&D Center Beijing 16f0195a60ed55b5e1a955c420f94a99e5815258,Face Pose Estimation with Ensemble Multi-scale Model and Deep Learning,"University of Jinan, Jinan City" 16dd06c0d712f681d7d04447cfd9ee7c424b4814,Gender recognition on real world faces based on shape representation and neural network,"Department of Computer and Communication Systems, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia" -166aa92160f73201b3656a57f192a10685e9e759,Face recognition with continuous occlusion using partially iteratively reweighted sparse coding,"Center for Computer Vision and Department of Mathematics, SunYat-Sen (Zhongshan) University, Guangzhou 510275, China" -16a61b9b213cf5d9020a3cfdf3c1575b1fac8c07,Dense invariant feature based support vector ranking for person re-identification,"Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China" 16a61b9b213cf5d9020a3cfdf3c1575b1fac8c07,Dense invariant feature based support vector ranking for person re-identification,"Department of Electronic and Electrical Engineering, The University of Sheffield Mappin Street, Sheffield, S1 3JD, UK" 16a61b9b213cf5d9020a3cfdf3c1575b1fac8c07,Dense invariant feature based support vector ranking for person re-identification,"Department of Computer Science and Digital Technologies, Northumbria University Newcastle upon Tyne, NE1 8ST, UK" 1668963ea05061a70aa941e60500880de9e0c163,2.5D Facial Expression Recognition using Photometric Stereo and the Area Weighted Histogram of Shape Index,"Machine Vision Laboratory, University of the West of England, Bristol, UK" 1695d0112d2e2c6df8bbe1d6abe18a457eba90dc,Classification of Crash and Near-Crash Events from Dashcam Videos and Telematics,"Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy" -16f79b8917f53eff7da88c6cde9300cff1572eb8,Face Hallucination Based on Key Parts Enhancement,"Noah's Ark Laboratory, 2012Labs Huawei Technologies Co., Ltd., Beijing, China" -16b5890dd6ec399a235d4ba13484fbdd4e4f5cd4,SegGAN: Semantic Segmentation with Generative Adversarial Network,"Chinese Academy of Science, Institute of Information Engineering, Beijing, China" -16b5890dd6ec399a235d4ba13484fbdd4e4f5cd4,SegGAN: Semantic Segmentation with Generative Adversarial Network,"Academy of Broadcasting Science, Information Technology Institute, Beijing, China" -16b5890dd6ec399a235d4ba13484fbdd4e4f5cd4,SegGAN: Semantic Segmentation with Generative Adversarial Network,"College of Information and Control Engineering, China University of Petroleum, Beijing, China" -169d37965bfb8ac1c1dcd502ab401c6cd0622251,New 2D pupil and spot center positioning technology under real — Time eye tracking,"Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China" -166e5efacf632f18de3476cc5a942a20d017e68a,The eye says it all: Periocular region methodologies,"BMS College of Engineering, Bangalore, INDIA" -1606b1475e125bba1b2d87bcf1e33b06f42c5f0d,A convolutional neural network cascade for face detection,"Adobe Research, San Jose, CA 95110, USA" -1617f56c86bf8ea61de62062a97961d23fcf03d3,Facial Similarity Learning with Humans in the Loop,"Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology Tsinghua University, Beijing, China" 16c2eb10de8b2bf0f2f8304c8a365a5c7f8b7a2b,Confidence-based Deep Multimodal Fusion for Activity Recognition,"School of Integrated Technology, Yonsei University. Incheon, Korea" 16d658ed2ff10ff4c729479962c5989116adece1,Ship detection in SAR images based on an improved faster R-CNN,"Naval Aeronautical and Astronautical University, Department of Electronic and Information Engineering" -1608572473465387e4ed7b95936ecf7fbd10513f,Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification,"College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China" -1608572473465387e4ed7b95936ecf7fbd10513f,Two-Stream Multirate Recurrent Neural Network for Video-Based Pedestrian Reidentification,"Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xi'an, China" 16beefb2f8d0d61e536bf20766e485499906c2e0,Image Surveillance Assistant,"Computer Science Dept. University of Maryland College Park, MD 20742" 16beefb2f8d0d61e536bf20766e485499906c2e0,Image Surveillance Assistant,"Dept. of Math & Computer Science Fayetteville State University Fayetteville, NC 28301" 16beefb2f8d0d61e536bf20766e485499906c2e0,Image Surveillance Assistant,"Navy Center for Applied Research in AI Naval Research Laboratory, Code 5514 Washington, DC 20375" @@ -5264,27 +3112,18 @@ d3f17c2b4e44f008a547fb8c9154bc8465493afc,Radiographic analysis of peri-implant t 64c1f5a833efbf6d520a529384014e2ea6b6d113,An unsupervised machine learning algorithm for visual target identification in the context of a robotics competition,"School of Science and Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil" 645f09f4bc2e6a13663564ee9032ca16e35fc52d,Interactive Demonstration of Probabilistic Predicates,"University of Washington &Microsoft, Seattle, WA, USA" 642b5173644caa5c5189982a3d1e41163fa9d595,Feature selection for multi-SVM classifiers in facial expression classification,"Electrical-Electronics Engineering Department, Kirikkale University, Turkey" -6448acca3bf4d14ad44756974a6486a317095a54,Deep multi-instance learning for end-to-end person re-identification,"School of Information Science and Technology, Jiujiang University, Jiujiang, China" 64a0323adf55db3d3de20cc2a8176961548379f4,Multi-label Triplet Embeddings for Image Annotation from User-Generated Tags,"SUNY Binghamton, Binghamton, NY, USA" -64ca0dbe60bf8f8243fad73a2494c3fa7a2770e2,Classification of human age based on Neural Network using FG-NET Aging database and Wavelets,"Computer Science &Engineering, Sathyabama University, Chennai, India" -64ca0dbe60bf8f8243fad73a2494c3fa7a2770e2,Classification of human age based on Neural Network using FG-NET Aging database and Wavelets,"Department. of Electronics Engineering National Institute of Technical Teachers Training & Research Chennai, India" -644806853043267daa5b6930182ad86bfdf07dd7,MSU-AVIS dataset: Fusing Face and Voice Modalities for Biometric Recognition in Indoor Surveillance Videos,"Yarmouk University, Jordan" 64aac8bd7eb3c35653b539769cf5a4007bbfb06f,Are Gabor phases really useless for face recognition?,"Graduate School of Chinese Academy of Sciences, Beijing, People’s Republic of China" -6403707d95046655a7bb405cf7869bd3464074e3,Face detection by means of complex wavelet transforms and neural networks,"Elektronik Mühendisliği Bölümü Ankara Üniversitesi, Ankara, Türkiye" 6481ca04cdfd7d37ee397783120d12ba27569cc3,Automatic Measurement of Venous Pressure Using B-Mode Ultrasound,Münsingen Regional Hospital 6481ca04cdfd7d37ee397783120d12ba27569cc3,Automatic Measurement of Venous Pressure Using B-Mode Ultrasound,Zürich University Hospital -6486a58f675461d1c9f42a39e942bf39f4427f7d,A study on various face detection techniques in real time video environment,"Department of Computer Science & Engineering, G. H. Raisoni Academy of Engineering and Technology, Nagpur, India" 645f195e7c301c0bd4821ff9440529c28a58ba74,Face authentication test on the BANCA database,"Surrey Univ., Guildford, UK" 64974a76d4bfd9b327fa378ddc1fbb7c566d9d53,ROIs Segmentation in Facial Images Based on Morphology and Density Concepts,"Faculty of Computer Science, Benemérita Universidad Autónoma de Puebla, Puebla, Mexico" 6486b36c6f7fd7675257d26e896223a02a1881d9,Selective Review and Analysis of Aging Effects in Biometric System Implementation,"Computer Engineering Department, Girne American University, Kyrenia, Cyprus 90" 6486b36c6f7fd7675257d26e896223a02a1881d9,Selective Review and Analysis of Aging Effects in Biometric System Implementation,"Departamento de Informtica e Matemtica Aplicada/University of Rio Grande do Norte, Natal, Brazil" -642f19468ecf21cf97227b0d50fc1098afb37140,Face recognition using augmented local binary pattern and Bray Curtis dissimilarity metric,"Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India" 641dfce99363f8f75b0e03f8578f6c413eb65591,Motion segmentation by consensus,"School of Computing, The University of Leeds, United Kingdom" c3270b25c030790fc3100861fd06bfe3a7972542,Sentic Computing,"Computing Science and Mathematics, University of Stirling, Stirling, United Kingdom" c3d0443e83145d204c5bc7e9f0312003f17ddd71,A general framework for the evaluation of symbol recognition methods,"Centre de Visió per Computador, Barcelona, Spain" -c3d0443e83145d204c5bc7e9f0312003f17ddd71,A general framework for the evaluation of symbol recognition methods,"LORIA, Villers-lès-Nancy Cedex, France" c3d0443e83145d204c5bc7e9f0312003f17ddd71,A general framework for the evaluation of symbol recognition methods,"National University of Ireland, Maynooth, Ireland" -c3d0443e83145d204c5bc7e9f0312003f17ddd71,A general framework for the evaluation of symbol recognition methods,"LITIS Laboratory, Rouen University, Rouen, France" c3d0443e83145d204c5bc7e9f0312003f17ddd71,A general framework for the evaluation of symbol recognition methods,"L3i Laboratory, La Rochelle University, Rochelle, France" c33c8bb663f651918ff8c4ce04d941e1d2e9be0e,Cost-Sensitive Subspace Analysis and Extensions for Face Recognition,"Advanced Digital Sciences Center, Connexis North Tower, Singapore" c3500a6300ac14256fc836a53eb9c56f007cc61d,A Device for Continuous Monitoring of True Central Fixation Based on Foveal Birefringence,"Division of Pediatric Ophthalmology and Adult Strabismus, The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, USA" @@ -5293,57 +3132,33 @@ c30f28a238925be05520c73c0977d87b58e1a6f8,Intelligent Multimedia Surveillance,"De c30fee3bc48240aebabc1617e00226ba5ca6aec7,Overview of Environment Perception for Intelligent Vehicles,"Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K." c3e710845dc74ab99f8bb57a4941be89942f202d,Multilevel Image Coding with Hyperfeatures,"LJK–INRIA site, LJK–CNRS, Montbonnot, France" c3f48742f951084c085ac070690ec2b3c489217b,Multi-layer feature histogram with correlative degree for cross-camera-based person re-identification,"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China" -c3881cadbc5feef7acd0b38e321fd70d18ed6c48,Automatic 3D face recognition combining global geometric features with local shape variation information,"Center for Biometric Authentication & Testing, Chinese Acad. of Sci., Beijing, China" -c3203e18a11be454d3124748a48350f5b741722d,A framework for generating anatomically detailed subject-specific human facial models for biomechanical simulations,"The University of Auckland, Auckland, New Zealand" c3c7878da83e0249b6d7def5c0c042b2b144cf50,Data fusion for 3D thermal imaging using depth and stereo camera for robust self-localization,"Department of Measurement & Control, University of Kassel, Kassel, Germany" -c3b768156bfedbce66fd08156fc74ede52f79239,A new approach for face recognition from video sequence,"Department of Computer Science & Engineering Vivekananda College of Engineering & Technology Puttur, India" -c3b768156bfedbce66fd08156fc74ede52f79239,A new approach for face recognition from video sequence,"Department of Electronics & Communication Engineering AJ Institute of Engineering & Technology Mangalore, India" c30b9fb837e912ccf3919fdb64e9543fca57799e,Evaluating knowledge transfer and zero-shot learning in a large-scale setting,"MPI Informatics, Saarbrücken" -c38b1fa00f1f370c029984c55d4d2d40b529d00c,Neural Information Processing,"University of Istanbul, Istanbul, Turkey" c38b1fa00f1f370c029984c55d4d2d40b529d00c,Neural Information Processing,"University at Qatar, Doha, Qatar" c38b1fa00f1f370c029984c55d4d2d40b529d00c,Neural Information Processing,"Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia" -c38b1fa00f1f370c029984c55d4d2d40b529d00c,Neural Information Processing,"University of Science Technology, Wuhan, China" c315a050478781da65556a745e01286ee4a8676e,Guide to Biometrics,"IBM T.J. Watson Research Center, Hawthorne, USA" c3a9767797c58f3bbdcbf0cc950ec3e55de5827a,Shearlet Features for Pedestrian Detection,"Department of Mathematics/Computer Science, Philipps-University of Marburg, Marburg, Germany" -c3a9767797c58f3bbdcbf0cc950ec3e55de5827a,Shearlet Features for Pedestrian Detection,"ITK Engineering GmbH, Computer Vision Team, Lollar, Germany" c3f76a9ebe53825e14f851120cca4e1fc29807de,Multi-modal learning for affective content analysis in movies,"Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, People’s Republic of China" c38401a1078f6df565f3e3fd94c38993ba466772,Keyboard-controlled signing semantroid,"Dept. of Comput. Graphics Technol., Purdue Univ., West Lafayette, IN, USA" c3ec7ac15f409127b2ecf61e8edc12d7500dbd6f,Semantic perception of curbs beyond traversability for real-world navigation assistance systems,"Department of Electronics, University Alcalá, Madrid, Spain" c33f07164a12d8e7469e11afea0674e67138b342,Principal discriminants analysis for small-sample-size problems: application to chemical sensing,"Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA" -c39e7d03648c398e73e84bec1939660459b7c7e6,Passenger management system based on face recognition for intelligent transport vehicles,"Electronics and Telecommunications Research Institute, Daegu-Gyeongbuk Research Center, Republic of Korea" c352b5ccd6fa1812b108d74d268ce3f19efccf0b,Comprehensible people recognition using the Kinect's face and skeleton model,"Lero - The Irish Software Research Centre, University of Limerick, Ireland" -c3941b5074a3c23ced4b3ff598653724ec7007f1,Multi-label semantic concept detection in videos using fusion of asymmetrically trained deep convolutional neural networks and foreground driven concept co-occurrence matrix,"Department of Information Technology, YCCE, Nagpur, India" -c39e647e7a76ac60916f1f8b9ad382b5d68bc5fb,Online multi-person tracking-by-detection method using ACF and particle filter,"Postgraduate Institute of Science, University of Peradeniya, Sri Lanka" c39e647e7a76ac60916f1f8b9ad382b5d68bc5fb,Online multi-person tracking-by-detection method using ACF and particle filter,"Department of Statistics and Computer Science, University of Peradeniya, Sri Lanka" -2a2deb5dd30a71ab6366dc737359604a9c8f76d5,Multi-view dimensionality reduction via subspace structure agreement,"School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, China" -2a94265530b940b5516f431675f882f83581a745,Android application for complaining against the social issues,"Department of Information Technology, Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur, India" 2af04f9bb4950afbde0060c347c0b4857ce8d3d6,Camera Pose Estimation Suitable for Smart Cameras,"Instituto Nacional de Astrofíosica, Óptica y Electrónica (INAOE), Tonantzintla, Mexico and Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France" -2af04f9bb4950afbde0060c347c0b4857ce8d3d6,Camera Pose Estimation Suitable for Smart Cameras,"Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France" 2af091bdc1235e58f13d8021fd0ad9b96f89c0e9,Region Duplication Detection Using Image Feature Matching,"Computer Science Department, University at Albany, State University of New York" 2accfb97407e74b6f55d228cf7048a402dd8cb6c,Multimodal First Impression Analysis with Deep Residual Networks,"Radboud University, Nijmegen, HR, The Netherlands" 2accfb97407e74b6f55d228cf7048a402dd8cb6c,Multimodal First Impression Analysis with Deep Residual Networks,"Instituto Nacional de Astrofísica, Puebla, Mexico" 2accfb97407e74b6f55d228cf7048a402dd8cb6c,Multimodal First Impression Analysis with Deep Residual Networks,"UPSud/INRIA Université Paris-Saclay, Saint-Aubin, France" -2acd0c90d14bf5003975c5b2414400fb6e53cb44,Face pair matching with Local Zernike Moments and L2-Norm metric learning,"Bilgisayar Mühendisliği Bölümü, ˙Istanbul Teknik Üniversitesi" -2a65c3a5d19cd40c763daad7ec1d6842292f8379,Histogram of Radon Projections: A new descriptor for object detection,"College of Engineering, Trivandrum, India" -2a18e025c0c89c2dd94ee92b1e496767de8a3406,Video-based Emotion Recognition Using Multi-dichotomy RNN-DNN,"Samsung Research Institute China-Beijing (SRC-Beijing), Beijing, China" 2a53677037a56297163661dc1afe44fc020f3d35,Convolutional neural networks for license plate detection in images,"Federal University of Technology - Parana, Brazil" -2abd13f249d6483f1a433a4deb8c088d40c24586,Human gait recognition using relevance vector machine classifier,"Dept. of ECE Syed Ammal Engineering College, Ramanathapuram, India" 2aaaf36271ad9b5bab69a9d0cd8b28080b8b74d0,Pedestrians’ Receptivity Toward Fully Automated Vehicles: Research Review and Roadmap for Future Research,"Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA" -2aaaf36271ad9b5bab69a9d0cd8b28080b8b74d0,Pedestrians’ Receptivity Toward Fully Automated Vehicles: Research Review and Roadmap for Future Research,"the Crash Safety Research Center, LLC, East Hampton, CT, USA" 2a19608262e17229d68383922e4fc58a8ad7b902,Fetal facial standard plane recognition via very deep convolutional networks,"Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital of Nanfang Medical University, 3012 Fuqiang Rd, Shenzhen, P.R. China" 2af266cdba82b168bc61408e5d5e9141540ba028,Image-based attributes of multi-modality image quality for contactless biometric samples,"Université de Caen Basse-Normandie, UMR 6072 GREYC, F-14032, France" 2af266cdba82b168bc61408e5d5e9141540ba028,Image-based attributes of multi-modality image quality for contactless biometric samples,"The Norwegian Color and Visual Computing Laboratory, Gjøvik University College, P.O. Box 191, N-2802, Norway" -2acf8de76c3015914131938253fedfce110720ec,A new information fusion method for SVM-based robotic audio-visual emotion recognition,"Mechanical and Systems Research Laboratories, Institute of Industrial Technology Research, Hsinchu, Taiwan 310, China" 2a2df7e790737a026434187f9605c4763ff71292,Towards nonuniform illumination face enhancement via adaptive contrast stretching,"Division Télécom, Centre de Développement des Technologies Avancées - CDTA, Algiers, Algeria" 2a2df7e790737a026434187f9605c4763ff71292,Towards nonuniform illumination face enhancement via adaptive contrast stretching,"Department of Computer System and Communication, Faculty of Information and Communication, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia" -2a5dc32ba784ff30c73011414bfb679fbc203069,Analysis of SVM and kNN Classifiers For Egocentric Activity Recognition,"Dept. of CSE, Annamalai University" -2ad9a264cd44f42a5eb0f928ac78ba15e0d1cc18,Alternating direction method based decoding for object recognition,"National Key Laboratory of Aerospace Intelligent Control Technology, Beijing 100854, P.R. China" 2ae40bda27db2da1c05f3e71ce8d1c809a909bbb,Deformation-Based 3D Facial Expression Representation,"University of Luxembourg, Luxembourg" -2a1b247b31d0b4baa5438ac502615152426165f7,An Improved Convolution Neural Network for Object Detection Using YOLOv2,"Complex System Control Theory and Application Key Laboratory School of Electrical and Electronic Engineering, Tianjin University of Technology (TJUT), Tianjin, 300384, China" 2a7e6a1b2638550370a47f2f6f6e38e76fe9ac13,Multifeature Anisotropic Orthogonal Gaussian Process for Automatic Age Estimation,"Chinese University of Hong Kong, Hong Kong" 2a6f554a356521199112bae333537de62e13db73,Emotion Recognition in E-learning Systems,"Dept. of Computer Science, Faculty of Science Chouaib Doukkali University, El Jadida, Morocco" -2af06b88444cfabf92f54bcb3a31e9afd149ae69,Main objects interaction activity recognition in real images,"Beijing, China" -2a4bf8d096ea9b6a84ebb6cecf98589a76806777,Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations,"Institute of Image Processing and Pattern Recognition, Xi’an Jiaotong University, Xi’an, Shaanxi, China" 2a4bf8d096ea9b6a84ebb6cecf98589a76806777,Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations,"School of Engineering, University of California, Merced, CA" 2a955477f778b6c27f914bd36684f019a9eb5976,Development of facial expression recognition by significant sub-region,"Department of Biomedical Engineering, Srinakharinwirot University, Ongkharak, Thailand" 2a955477f778b6c27f914bd36684f019a9eb5976,Development of facial expression recognition by significant sub-region,"Department of Electrical-Mechanical Manufacturing Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand" @@ -5351,53 +3166,28 @@ c39e647e7a76ac60916f1f8b9ad382b5d68bc5fb,Online multi-person tracking-by-detecti 0454908b9516fe3fc41506a11de83ecdea50539b,Prostate detection and segmentation based on convolutional neural network and topological derivative,Artificial Intelligence Research Center Korea Electronics Technology Institute Seongnam. Korea 0454908b9516fe3fc41506a11de83ecdea50539b,Prostate detection and segmentation based on convolutional neural network and topological derivative,"Graduate School of Advanced Imaging Science. Multimedia & Film Chung-Ang University Seoul, Korea" 04a9de9df349ee0245a6abd08f4e458e65b1325d,Fast and Accurate Human Detection Using a Cascade of Boosted MS-LBP Features,"School of Computing and Communication, University of Technology, Sydney, Australia" -04f56dc5abee683b1e00cbb493d031d303c815fd,Scene character recognition using PCANet,"Xiamen University of Technology, Fujian, China" 044264a61868bc4e0efb8b501f326cb93f9fade0,Contactless biometric hand geometry recognition using a low-cost 3D camera,"Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland" 044264a61868bc4e0efb8b501f326cb93f9fade0,Contactless biometric hand geometry recognition using a low-cost 3D camera,"Faculty of Information Technology, Brno University of Technology, Czech republic" 04d09bed8b05ed10d25c1cc2ab47381b0ee34c2f,YesilcamGAN: Automatic face translation to Yesilcam artists,"Multimedia Lab. Ortadoğu Teknik Üniversitesi, Ankara, Türkiye" 0486eb243d167ab4b197b682e9eff9684b273df4,SA3M: An interactive robot to provide support for the elderly,"GI-IATa, Centro de Investigación, Desarrollo e Innovación en Ingeniería, Universidad Politécnica Salesiana, Cuenca-Ecuador" 04c5268d7a4e3819344825e72167332240a69717,Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition,"Computer Vision Lab, University of Central Florida. Orlando, USA" -04c5268d7a4e3819344825e72167332240a69717,Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition,"Military College of Signals. Rawalpindi, Pakistan" -04209fe08b6d4cb591effc5a18f4af4c9663a910,A two-stage human body detector on depth data,"State Key Laboratory of Industrial Control Technology, Zhejiang University No. 38 Zheda Road, Hangzhou, China, 310027" -042f4315f757676c7a19281239d616523b0621f0,Locating Various Ship License Numbers in the Wild: An Effective Approach,"College of Mathematics & Information Science, Wenzhou University, Wenzhou, Zhejiang, China" 047d3cb2a6a9628b28cac077b97d95b04ca9044c,A robust composite metric for head pose tracking using an accurate face model,"Majority Report, France" -04e6afa6fad6a3c7182776231529e8d1ac98b558,i.Boosting for Image Classification,"Hewlett-Packard Laboratories, Palo Alto, CA, USA. tong.zhang@hp.com" 047fef806e6afb3430bfc6d8a6ab09b48afb9822,Inference of Complex Trajectories by Means of a Multibehavior and Multiobject Tracking Algorithm,"Image Processing Group, Universidad Politécnica de Madrid, Madrid, Spain" -0486c77b8f251e8ae52f5ab6304288c1a8bcc48a,Spatial- Temporal Attention for Image Captioning,"CAS University of Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China" -0486c77b8f251e8ae52f5ab6304288c1a8bcc48a,Spatial- Temporal Attention for Image Captioning,"Institute of Information Engineering, CAS, Beijing, China" 0422cd0e5f86b04039ee468c095a87c843a66187,Ear Recognition by means of a Rotation Invariant Descriptor,"Universit´a di Salerno, 84084 Fisciano" -04e2b2eab1966ffb0079685baf169d4d7ad4ec8c,Detecting Sex From Handwritten Examples,"Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh" 04e2b2eab1966ffb0079685baf169d4d7ad4ec8c,Detecting Sex From Handwritten Examples,"Department of Computer Science, Independent University Bangladesh, Dhaka, Bangladesh" -0489a21c77d1646ea3af48d678c3ad9645eef2a9,Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation,"Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, China" 049062fae08c8b716fc8c80872fb02a15a4ab06c,Advanced Concepts for Intelligent Vision Systems,"DGA, Bagneux, France" -049062fae08c8b716fc8c80872fb02a15a4ab06c,Advanced Concepts for Intelligent Vision Systems,"Telecommunications and Information processing (TELIN), Ghent University, Ghent, Belgium" -049062fae08c8b716fc8c80872fb02a15a4ab06c,Advanced Concepts for Intelligent Vision Systems,"CSIRO ICT Centre, Sydney, Australia" -049062fae08c8b716fc8c80872fb02a15a4ab06c,Advanced Concepts for Intelligent Vision Systems,"University of Antwerp, Wilrijk, Belgium" 049062fae08c8b716fc8c80872fb02a15a4ab06c,Advanced Concepts for Intelligent Vision Systems,"Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic" -046600fc88843159d5c53d089504b22f9876904d,An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification,"School of Information and Communication Engineering, Dailian University of Technology, Dalian, China" -045275adac94cced8a898a815293700401e9955f,Texture-independent recognition of facial expressions in image snapshots and videos,"Computer Vision Center, Edifici “O”, Campus UAB, Bellaterra, Spain" -045275adac94cced8a898a815293700401e9955f,Texture-independent recognition of facial expressions in image snapshots and videos,"University of the Basque Country UPV/EHU, San Sebastian, Spain" -049186d674173ebb76496f9ecee55e17ed1ca41b,Inner Product Regularized Nonnegative Self Representation for Image Classification and Clustering,"School of Software, Jiangxi Normal University, Nanchang, China" -049186d674173ebb76496f9ecee55e17ed1ca41b,Inner Product Regularized Nonnegative Self Representation for Image Classification and Clustering,"School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China" 0450dacc43171c6e623d0d5078600dd570de777e,Emotional faces influence numerosity estimation without awareness,"Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki City, Japan" 04134359b72232feac6d3b9f88a8e99d4e60c608,Classification performance of different classifiers on head gestures and facial expressions,"Elektrik Elektronik Mühendisligi Bölümü Boğaziçi Üniversitesi, 34342, Bebek, Istanbul, Türkiye" 04218d1f13ab9569c6f13a33d329fd548f883dd4,Evaluating liveness by face images and the structure tensor,"Halmstad Univ., Sweden" 040173a26e1dd6c7ab2e636e2ec3dbe0b1349986,Face processing in Pervasive Developmental Disorder (PDD): the roles of expertise and spatial frequency,"Department of Child and Adolescent Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands" 040173a26e1dd6c7ab2e636e2ec3dbe0b1349986,Face processing in Pervasive Developmental Disorder (PDD): the roles of expertise and spatial frequency,"Department of Psychonomics and Psychopharmacology, Utrecht University, Utrecht, The Netherlands" -3812d8864b87b3c715fb59b501eaee0539be269e,Correlation-Based Tracker-Level Fusion for Robust Visual Tracking,"Department of Space, Satish Dhawan Space Centre SHAR, ISRO, Sriharikota, India" -3812d8864b87b3c715fb59b501eaee0539be269e,Correlation-Based Tracker-Level Fusion for Robust Visual Tracking,"Department Of Space, SRO Satellite Centre (ISAC), Bengaluru, India" -3812d8864b87b3c715fb59b501eaee0539be269e,Correlation-Based Tracker-Level Fusion for Robust Visual Tracking,"Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, India" 3852eab6b56324a1f2bd47b059200c9c0d507905,SIFT-based object recognition with fast alphabet creation and reduced curse of dimensionality,"TZI Center for Computing and Communication Technologies, University Bremen, Am Fallturm 1, 28359 Bremen, Germany" 3813a77005fcc87e1a65c272c9c7a9a87c80c000,Spontaneous facial expression recognition by heterogeneous convolutional networks,"School of Information Science and Technology, Northwest University" 38b8f638490af5f2e3c2cc6dbfd855509ac969fb,Face-Spoofing 2D-Detection Based on Moiré-Pattern Analysis,"Department of Electronics Engineering, University of Brasilia, Brasília, Brazil" 38b8f638490af5f2e3c2cc6dbfd855509ac969fb,Face-Spoofing 2D-Detection Based on Moiré-Pattern Analysis,"Department of Computer Science, University of Brasilia, Brasília, Brazil" -38f1d8d25c0332798e0929594af2c43092d2c5c8,Face recognition via fast dense correspondence,"Key Lab of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China" -38f1d8d25c0332798e0929594af2c43092d2c5c8,Face recognition via fast dense correspondence,"The State Grid HuBei Information and Telecommunication Company, Wuhan, China" -38f1d8d25c0332798e0929594af2c43092d2c5c8,Face recognition via fast dense correspondence,"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China" 384b21d51dd466517f5ced3a59b997ddea10aa42,Semantic Stixels: Depth is not enough,"Daimler AG, R&D, Böblingen, Germany" 384b21d51dd466517f5ced3a59b997ddea10aa42,Semantic Stixels: Depth is not enough,"MBRDNA, Sunnyvale, US" -384b21d51dd466517f5ced3a59b997ddea10aa42,Semantic Stixels: Depth is not enough,"TU Darmstadt, Germany" -38f294ae53862f98a3e34818c1e86f689dc8723e,A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale,"Shenzhen Center for Disease Control and Prevention, Shenzhen, China" 38708f8627ab18d748990b1c32817d5e878c6705,Computational Science and Its Applications -- ICCSA 2015,"University of Basilicata, Potenza, Italy" 38708f8627ab18d748990b1c32817d5e878c6705,Computational Science and Its Applications -- ICCSA 2015,"Covenant University, Canaanland, Nigeria" 38708f8627ab18d748990b1c32817d5e878c6705,Computational Science and Its Applications -- ICCSA 2015,"University of Minho, Braga, Portugal" @@ -5407,24 +3197,17 @@ c39e647e7a76ac60916f1f8b9ad382b5d68bc5fb,Online multi-person tracking-by-detecti 38d782a3ec91e2f8b0be131243eacfe6e6b07284,Robustness Against Unknown Noise for Raw Data Fusing Neural Networks,"Daimler AG, Wilhelm-Runge-Str. 11, Ulm, 89081, Germany" 38d782a3ec91e2f8b0be131243eacfe6e6b07284,Robustness Against Unknown Noise for Raw Data Fusing Neural Networks,"Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom" 38d782a3ec91e2f8b0be131243eacfe6e6b07284,Robustness Against Unknown Noise for Raw Data Fusing Neural Networks,"University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany" -3877e8c9ccb2d9186d619b7827f1184138d1a837,Real-time running detection from a moving camera,"Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education, China" 383faf929ca0cd928ace9e11970604bd03883310,Face recognition based on regularized nearest points between image sets,"Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland" -38bb66c97b35851051e95834639c205254771adc,Facial expression recognition using feature based techniques and model based techniques: A survey,"Department of Electronics and Communication Engineering, Government of Karnataka Research Centre, Sahyadri College of Engineering and Management, Mangaluru, Karnataka, India" 383a0c3a59311fada94ba0ebc55493730b0f49cb,Real-time embedded face recognition for smart home,"Eindhoven Univ. of Technol., Netherlands" -383a9bf5fc7ce9ca9e454a7e044ff0af4495b8da,On performance evaluation of face detection and localization algorithms,"Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland" ccb83c86a3b27d1663292c34742ce1b5fda43a67,Detecting real time object along with the moving direction for visually impaired people,"Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh" -cc00df59309c13f72fcbd44c88509210c157ce47,DataSynapse: A Social Data Curation Foundry,"Macquarie University, Sydney, Australia" cc00df59309c13f72fcbd44c88509210c157ce47,DataSynapse: A Social Data Curation Foundry,"EY AI Lab, Palo Alto, USA" ccb01a51ed204da01a12728bf168376bd2415b38,Real time face recognition engine using compact features for electronics key,"Informatics Engineering Dept., Engineering Faculty, Mataram University, J1. Majaphit 62 Mataram Lombok, Indonesia" ccca2263786429b1b3572886ce6a2bea8f0dfb26,Improved nuisance attribute projection for face recognition,"Department of Electro-Optics Engineering, Ben-Gurion University, Beer Sheva, Israel" -ccca2263786429b1b3572886ce6a2bea8f0dfb26,Improved nuisance attribute projection for face recognition,"Technology Section, Israel National Police, Jerusalem, Israel" cc76729795069f24d66e8c29f1e08b50f8980a53,Co-design system for template matching using dedicated co-processor and particle swarm optimization,"Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil" cc76729795069f24d66e8c29f1e08b50f8980a53,Co-design system for template matching using dedicated co-processor and particle swarm optimization,"Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil" cc76729795069f24d66e8c29f1e08b50f8980a53,Co-design system for template matching using dedicated co-processor and particle swarm optimization,"Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil" -ccf4049dbb61de4e2f8ef918b8f639b148109e65,Distributed data association in smart camera networks using belief propagation,"Beijing University of Aeronautics and Astronautics, Beijing, China" ccba0c4fafc82288a80cd38bb6ef3ac223198156,Proposal of local feature vector focusing on the differences among neighboring ROI’s,"Graduate School of Computer and Cognitive Sciences, Nagoya, Japan" cceec87bad847b9b87178bde8ce5cce6bf1a8e99,Robust face recognition via transfer learning for robot partner,"Graduate School of System Design Tokyo Metropolitan University Tokyo, Japan" -ccc51e8b608213fe126b1d2469cb72de0331498d,Global and Local Consistent Age Generative Adversarial Networks,"CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China" cc06565c14fb383d22de5478d67c81e1a553e036,3D Gabor-Edge filters applied to face depth images,"CSR Research Unit of EμE Laboratory, National School of Engineering, Ibn Eljazzar 5019, Monastir, Tunisia" cc06565c14fb383d22de5478d67c81e1a553e036,3D Gabor-Edge filters applied to face depth images,"Electrical Department National, School of Engineering, Ibn ElJazzar, 5019, Monastir, Tunisia" ccc874b0d73690d18a84229f40af438696fb1b27,"Agent-based active-vision system reconfiguration for autonomous surveillance of dynamic, multi-object environments","Dept. of Mech. & Ind. Eng., Toronto Univ., Canada" @@ -5432,23 +3215,14 @@ cc835394ac6c47263c57aa815f1c5b9ea9cd0261,Natural and Artificial Computation in E cc835394ac6c47263c57aa815f1c5b9ea9cd0261,Natural and Artificial Computation in Engineering and Medical Applications,"Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, E.T.S. de Ingenería Informática, Madrid, Spain" ccb2f6a7b662fb1d6b8d70e01c615b4964b594e9,Robustness of Offline Signature Verification Based on Gray Level Features,"Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain" ccb2f6a7b662fb1d6b8d70e01c615b4964b594e9,Robustness of Offline Signature Verification Based on Gray Level Features,"Electronic Engineering Department, (MicroE), Universidad de Antioquia, Medellin, Colombia" -ccae1cb27c6b8bff46b84b5ae57663a4b284844b,A Web based System to Calculate Quality Metrics for Digital Passport Photographs,"Fraunhofer Institute for Computer Graphics Research, Germany" ccae1cb27c6b8bff46b84b5ae57663a4b284844b,A Web based System to Calculate Quality Metrics for Digital Passport Photographs,"University of Zagreb, Croatia" -cccd0edb5dafb3a160179a60f75fd8c835c0be82,Extraction of texture and geometrical features from informative facial regions for sign language recognition,"Department of Electronics and Electrical Engineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, India" cccc169185d5a88a9fcdc4ab1477a8500cc9861b,Leveraging Expert Feature Knowledge for Predicting Image Aesthetics,"Kodak Alaris, Inc., Rochester, NY, USA" -cc5d9fc3f20037d4822bacd6898e761e7aa37dc2,A Novel Fine-Grained Method for Vehicle Type Recognition Based on the Locally Enhanced PCANet Neural Network,"Information Center, Criminal Investigation Department of Shanghai Public Security Bureau, Shanghai, China" -cc5d9fc3f20037d4822bacd6898e761e7aa37dc2,A Novel Fine-Grained Method for Vehicle Type Recognition Based on the Locally Enhanced PCANet Neural Network,"Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai, China" ccb27d726c0b799e800a63eac18a33bf262852aa,Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction,"Five AI, Cambridge, United Kingdom" ccb27d726c0b799e800a63eac18a33bf262852aa,Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction,Google DeepMind ccb27d726c0b799e800a63eac18a33bf262852aa,Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction,"Chalmers University of Technology, Goteborg, Sweden" ccb27d726c0b799e800a63eac18a33bf262852aa,Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction,"Universitat Heidelberg, Heidelberg, Germany" -cc4a90ec7c9d964f3b6dd2505ccba3da2ed29474,Regional multi-focus image fusion using clarity enhanced image segmentation and sparse representation,"Faculty of Science and Technology University of Macau Macau SAR, China" -cc1241ed81692c62e461e745460693a04f7237b4,Biogeography particle swarm optimization based counter propagation network for sketch based face recognition,"Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India" -cc1241ed81692c62e461e745460693a04f7237b4,Biogeography particle swarm optimization based counter propagation network for sketch based face recognition,"School of Mathematics, Shri Mata Vaishno Devi University, Katra, Jammu, India" -cc1241ed81692c62e461e745460693a04f7237b4,Biogeography particle swarm optimization based counter propagation network for sketch based face recognition,"Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra, India" cc05f758ccdf57d77b06b96b9d601bf2795a6cc4,Physiological parameter monitoring of drivers based on video data and independent vector analysis,University of British Columbia Department of Electrical and Computer Engineering cc05f758ccdf57d77b06b96b9d601bf2795a6cc4,Physiological parameter monitoring of drivers based on video data and independent vector analysis,Nanyang Technological University School of Computer Engineering -a11d284767e31bd7af07a0aa4ca1a4bc216eb6f2,Car detection in images taken from unmanned aerial vehicles,"Havacılık Elektrik ve Elektroniği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye" a11d284767e31bd7af07a0aa4ca1a4bc216eb6f2,Car detection in images taken from unmanned aerial vehicles,"Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Eskişehir, Türkiye" a145002396e7e119808ebfcf66ce215cd331552a,CoDrive: Improving Automobile Positioning via Collaborative Driving,Hewlett-Packard Labs a1a5143a962ab3dc6f2a0d5300cde71d9f087404,Facial expression recognition using general regression neural network,"S.P.I.T., Mumbai" @@ -5457,89 +3231,57 @@ a12d9c1af6078f923066df9ab8eddb3cec85df1a,Tackling temporal pattern recognition b a18ce91d629a6e2ad1a7c8dc526be973a9862361,Face Recognition Based on Separable Lattice HMMS,"Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan" a1a4059c05fef739b5ede0e77ad4a90acf085e38,Advances in Brain Inspired Cognitive Systems,"Dept. of Computing Science and Mathematics, University of Stirling, Stirling, Scotland, UK" a146c83b0fddbc5edb5850e1833521c356f1fc0c,Local binary pattern network: A deep learning approach for face recognition,"Department of Mechanical and Aerospace Engineering, Syracuse University, USA" -a11ce3c9b78bf3f868b1467b620219ff651fe125,Semi-supervised Identification of Rarely Appearing Persons in Video by Correcting Weak Labels,"University of Applied Sciences Jena, Jena, Germany" -a11ce3c9b78bf3f868b1467b620219ff651fe125,Semi-supervised Identification of Rarely Appearing Persons in Video by Correcting Weak Labels,"German National Library of Science and Technology & Leibniz Universität Hannover, Hannover, Germany" a13a27e65c88b6cb4a414fd4f6bca780751a59db,Deep convolution neural network with stacks of multi-scale convolutional layer block using triplet of faces for face recognition in the wild,"Department of Creative IT Engineering, POSTECH, Pohang, South Korea, 37673" a13a27e65c88b6cb4a414fd4f6bca780751a59db,Deep convolution neural network with stacks of multi-scale convolutional layer block using triplet of faces for face recognition in the wild,"Department of Computer Science & Engineering, POSTECH, Pohang, Sourth Korea, 37673" -a107250d3568e5ac7a7504f04b1154da8e9892ba,Multitask Autoencoder Model for Recovering Human Poses,"Lenovo Group Ltd, Beijing, China" a149dd3fc6c7087c414f9655d92693ce9d3df6ec,Face detection speed improvement using bitmap-based Histogram of Oriented gradien,"Movidius Ltd. 1st Floor, O'Connell Bridge House, D'Olier Street, Dublin, Ireland" a176e44cdee30d69732c331de8aba436194a2dd6,Integrating appearance features and soft biometrics for person re-identification,"Department of Computer Science and Engineering, University of California, Riverside, USA" -a176e44cdee30d69732c331de8aba436194a2dd6,Integrating appearance features and soft biometrics for person re-identification,"School of International Business Communications, Dongbei University of Finance & Economics, Dalian, China" a19f927f79d94331914cf4bf77b4617d9cdb345e,Desiccation detection from lumbar MR images,"Bilgisayar Mühendisliği Bölümü, İstanbul Medeniyet Üniversitesi, Goztepe, Türkiye" a19f927f79d94331914cf4bf77b4617d9cdb345e,Desiccation detection from lumbar MR images,"GIT Vision Lab, Bilgisayar Mühendisliği Bölümü, Gebze Yüksek Teknoloji Enstitüsü, Kocaeli, 41400, Türkiye" a1d6c15f638b847b7dfbfdc901d1f9126cbdf289,Incremental multi-model dictionary learning for face tracking,"Institute of Informatics, UFRGS, Porto Alegre, Brazil" -a1c7568f4757ecb25831e7528316e13731d819fc,Real-time method for general road segmentation,"MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France" -a1f1a06b840558c4433f0e06a4e9172539469e21,Enhancing Visual Question Answering Using Dropout,"Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China" a1eb455fa852fb3ee14eb0907a7db9081a42b3a7,Question Part Relevance and Editing for Cooperative and Context-Aware VQA (C2VQA),"Università di Salerno, Dipartimento di Informatica, Fisciano, Italy" 5bf6e7599c38ade8ef3b97a3411a7f84418b6062,Pedestrian detection with LeNet-like convolutional networks,"School of Computer Science, Universidad Rey Juan Carlos, Móstoles, Spain" 5bf6e7599c38ade8ef3b97a3411a7f84418b6062,Pedestrian detection with LeNet-like convolutional networks,"Universidad Rey Juan Carlos, Móstoles, Spain" 5b80ba7f8cb24276f91372e15f02f14326d2ffa4,On the detection and localization of facial occlusions and its use within different scenarios,"Technical University of Berlin (TUB), Communication Systems Group, Germany" 5b80ba7f8cb24276f91372e15f02f14326d2ffa4,On the detection and localization of facial occlusions and its use within different scenarios,"Technical University of Catalonia (UPC), Department of Signal Theory and Communications, Spain" -5b809871a895ea8422afc31c918056614ea94688,Facial emotion recognition using deep convolutional networks,"Image Processing & Data Mining Lab, Shahrood University of Technology, Shahrood, Iran" 5be6226f1fa0c3a6f5be829b00f484582d531b6f,Online multi-model particle filter-based tracking to study bedload transport,"Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France" -5be6226f1fa0c3a6f5be829b00f484582d531b6f,Online multi-model particle filter-based tracking to study bedload transport,"Université Grenoble Alpes, Irstea, UR ETGR F-38402 St-Martin-d'Hères, France" 5b446205c2a9d694bed3b972d8dd26119c7b1ac5,Eye Center Localization Using Adaptive Templates,Fraunhofer Institute for Telecommunications - Heinrich-Hertz Institute 5bdd9f807eec399bb42972a33b83afc8b607c05c,Visual Domain Adaptation: A survey of recent advances,"AT&T Labs-Research, Middletown, New Jersey 07748 United States" 5bdd9f807eec399bb42972a33b83afc8b607c05c,Visual Domain Adaptation: A survey of recent advances,"Department of Electrical and Electronic Engineering, Center for Automation Research, UMIACS, College Park, Maryland United States" -5bb78acceaa89675ca777f6c8071bf6ac9987e1d,A novel method for example-based face super-resolution,"School of Computer Science and Technology, Wuhan University of Science and Technology, China" 5befd78017c51dcc6cb1394e1144d50bc936c7c8,Eye Detection Using Ensemble of Weak Classifiers Based on Correlation Filter,"Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, CEP, 26041-271, Brazil" 5befd78017c51dcc6cb1394e1144d50bc936c7c8,Eye Detection Using Ensemble of Weak Classifiers Based on Correlation Filter,"Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, 21945-970 CEP, Brazil" -5b336b0f258ad449c4fab155c80e98a18bf13cbc,A morphological approach to detect human in video,"Department of Information Technology, SSN College of Engineering Chennai, India" -5b336b0f258ad449c4fab155c80e98a18bf13cbc,A morphological approach to detect human in video,"Department of Information Technology, SSN College of Engineering, Chennai, India" -5b7b9dacba6aa8a1967eed630145e77695c75590,"Kinship verification from faces: Methods, databases and challenges","Telecom laboratory, Centre de Développement des Technologies Avancées, Algeria" -5b36c2877e36e0d5b1b1d9ee98727c8c65239a2b,Image retrieval by dense caption reasoning,"School of Communication and Information Engineering, BUPT, Beijing, China" -5b603e8303a28473ae31b2b425b624390a5cca26,A novel design for face recognition system using Dual Tree Complex Wavelet Transform,"Department of Computer Science Engineering, Misrimal Navajee Munoth Jain Engineering College, Chennai, India" 5b85073fda9df623077465dda6920176fdc34c3e,Collaborative Mapping and Autonomous Parking for Multi-Story Parking Garage,"Venue Maps Department, HERE North America LLC, Chicago, IL, USA" 5bec429451e838aa7f91c524079190f8cd5d8019,Acceleration of HOG based pedestrian detection in FIR camera video stream,"Department of Electronic Systems, Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania" 5b7fb82e160a76d977f78c32982c567a9820c013,Appearance-based Brake-Lights recognition using deep learning and vehicle detection,"Autonomous Vehicle Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 138632" 5b7aa540a01da5ea530a9d2f8362ebc8f2f7e00a,Constant-time monocular object detection using scene geometry,"Vicomtech-IK4, San Sebastián, Spain" 5bc7a664f7c7155bd1c2da0939d04231f230c4c6,Fast Parameter Adaptation for Few-shot Image Captioning and Visual Question Answering,"Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia" -5bc7a664f7c7155bd1c2da0939d04231f230c4c6,Fast Parameter Adaptation for Few-shot Image Captioning and Visual Question Answering,"China Electronics Technology Group Corporation, Beijing, China" 5b705232a9ab0a91030abf0aef2464a74c9eeb0f,Computer Vision – ECCV 2016,"RWTH Aachen , Aachen, Germany" -5bf85a60cf7506b0c14d484a2a50f553ae9a45a9,Conditional Expression Synthesis with Face Parsing Transformation,"Institute of Automation, Chinese Academy of Sciences & Boomhope Information and Technology Co., Ltd, Beijing, China" 5b01c4eef1e83f98751bb3ef1e4fca34abb8f530,Deep Convolutional Neural Networks for facial expression recognition,"Department of Mechatronic Engineering, Fırat University, Elazığ, Turkey" 5b8b9ab0feabc023f3ebcbd99d86bcbdb79245ba,Robust visual pedestrian detection by tight coupling to tracking,"ENSTA ParisTech, 828 Blvd des Marchaux, 91762 Palaiseau, France" 5b8b9ab0feabc023f3ebcbd99d86bcbdb79245ba,Robust visual pedestrian detection by tight coupling to tracking,"IUT d'Orsay, Université de Paris-Sud, Plateau de Moulon, 91400, France" 5b8b9ab0feabc023f3ebcbd99d86bcbdb79245ba,Robust visual pedestrian detection by tight coupling to tracking,"Honda Research Institute USA, Inc., 425 National Avenue, Mountain View, CA-94043, USA" 5b8237ae83bc457e3b29e7209126f61120fba082,Regularizing the loss layer of CNNs for facial expression recognition using crowdsourced labels,"School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand" 5b36d1d7279d0db75f52f4934b123a3757bf8092,Real-time moving objects tracking for mobile-robots using motion information,"Dept. of Electrical Engineering and Information Technology, GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany" -5bdb621ae5eab5d64ae4984ab0e6e74a1b4b7a57,Retinal verification using point set matching,"School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India" -d928ba68e20b22a327ab093537ec3e03bbac3b63,Characterizing a Heterogeneous System for Person Detection in Video Using Histograms of Oriented Gradients: Power Versus Speed Versus Accuracy,"Visionlab at Heriot-Watt University, UK" d928ba68e20b22a327ab093537ec3e03bbac3b63,Characterizing a Heterogeneous System for Person Detection in Video Using Histograms of Oriented Gradients: Power Versus Speed Versus Accuracy,"Thales Optronics, Glasgow" d9c665bad8ba68e8ef9537a86346f2942d78b84d,Estimation of influence quantities in face recognition,"DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43, (FR) - Italy" -d9c665bad8ba68e8ef9537a86346f2942d78b84d,Estimation of influence quantities in face recognition,"DIIn, University of Salerno, Fisciano (SA) - Italy" -d9a39c6d5bd46bebe3cea4252d2ee19eb86c6bec,Learning to focus for object proposals,"Zhixing College of HuBei University, Wuhan, China" d9a39c6d5bd46bebe3cea4252d2ee19eb86c6bec,Learning to focus for object proposals,"Centre for Artificial Intelligence, School of Software, University of Technology Sydney Ultimo, NSW, Australia" d93a1f71adb7c2e641af966bcac5e594e0b3723e,A Cloud-Based Voting System for Emotion Recognition in Human-Computer Interaction,"Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Košice, Slovakia" -d90367a57012edb08c4a23e376955197439120a4,"Matryoshka Peek: Toward Learning Fine-Grained, Robust, Discriminative Features for Product Search","Computer Application Research Center, Harbin Institute of Technology ShenZhen Graduate School, Shenzhen, China" d93fd354b469190ab73826f416d58840e8efa13c,Face recognition using Multi-modal Binary Patterns,"CMM, Mines Paristech, Fontainebleau, France" d93fd354b469190ab73826f416d58840e8efa13c,Face recognition using Multi-modal Binary Patterns,"Vesalis, Clermont Ferrand, France" d93fd354b469190ab73826f416d58840e8efa13c,Face recognition using Multi-modal Binary Patterns,"Gipsa-lab, Grenoble INP, France" -d97094aafbcec8e4cb63098b42a7553ffd2cb854,Human Re-Identification,"Siemens Corporate Research, Plainsboro, USA" -d99743ab1760b09b1bb88bc6e1dc5b9d0e48baac,Facial emotion analysis using deep convolution neural network,"Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India" -d900842af0542c283fbeadeec9905922c566e7c2,Image betrayal checking based on organization’s watermarking in Internet,"College of Mathematics & Computer Science, Wuhan Textile University, Wuhan, China" d9849dbe923b525f3039479178f43a5ebad27ea9,Exploring Hybrid Memory Caches in Chip Multiprocessors,"School of Computer Science, Institute for Research in Fundamental Sciences (IPM)" -d93de169020b6b1698717d598d84c562534eaa00,Mining images for image annotation using SURF detection technique,"College Of Engineering Trivandrum, India" d9d799bd6cc5289dd28fa9c0087c963f7bdb3485,Echocardiogram localization using barycentric interpolation,"Department of Computer Science, UNC Charlotte, United States of America" d9d799bd6cc5289dd28fa9c0087c963f7bdb3485,Echocardiogram localization using barycentric interpolation,"Department of General Surgery, Carolinas Medical Center, United States of America" d92fb4fed35d85cb4d5ebe385a611f64340a62e9,Saliency-Guided Feature Matching for Self-Driving Systems,"Konkuk University, Seoul, Korea" d95acbbb63eedefd16f6c76c33ddf598348d039c,Human pose estimation with global motion cues,"Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology" -d91c04b567909fbc9995c1b60800aba584606a72,Progressive Visual Object Detection with Positive Training Examples Only,"Department of Mathematics and Physics, Lappeenranta University of Technology, Lappeenranta, Finland" d91fd82332a0db1bb4a8ac563f406098cfe9c4bb,Feedback-based social media filtering tool for improved situational awareness,MIT Lincoln Laboratory d9bb41ec9d8742eb77ce38e4bfdc9b8371f275cf,Robust graph SLAM back-ends: A comparative analysis,"Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza, Spain" d962dc575bcbb054a76385b7f2d446e83f17d1c3,Illumination compensation method for local matching Gabor face classifier,"Electrical Engineering Department and Advanced Mining Technology Center, University of Chile Santiago, Chile" d9e99cdc42bafd9f57485a1cd74bafea9f9f074c,Fully automatic 3D facial expression recognition using differential mean curvature maps and histograms of oriented gradients,"LIRIS, École Centrale de Lyon, UMR5205, F-69134, France" -d9e99cdc42bafd9f57485a1cd74bafea9f9f074c,Fully automatic 3D facial expression recognition using differential mean curvature maps and histograms of oriented gradients,"LIFL, Télécom Lille 1, UMR USTL/CNRS 8022, France" d9877f4744993c6680d61bdeaef2dc4f5aae971f,Dual Structure Constrained Multimodal Feature Coding for Social Event Detection from Flickr Data,Guangdong University of Technology and City University of Hong Kong -d913c573a5ad25098bbca39a0d86e3b65ed4b6a0,Partially occluded object detection by finding the visible features and parts,"Honda Research Insitute, USA" -d9c5b08d51d1a08aa96e3577c5895fc224470d40,Bus scheduling method based on image texture and color analysis,"Information Research Institute of Shandong Academy of Sciences, Jinan, China" d968dcc086683ed597ad06313710e6717a157eda,Face Recognition from a Tabula Rasa Perspective,"Universidad de Las Palmas de Gran Canaria, Spain" d9c536addc6f84e8b6f48a555b0320992f950b1b,Human pose estimation with implicit shape models,"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Ettlingen, Germany" -d9a4bcac04a4c0785adaae9803f53e9bd1f4ee72,Co-training of feature extraction and classification using partitioned convolutional neural networks,"School of Electrical Engineering and Computer Science, Pennsylvania State University, PA USA" -d91a5589fd870bf62b7e4979d9d47e8acf6c655d,Face recognition method based on dynamic threshold local binary pattern,"Chongqing University of Posts and Telecommunications Chongqing, China" d951552faf169e62bfb362f44f471020faa2e6cc,A compressed domain change detection algorithm for RTP streams in video surveillance applications,"Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany" d951552faf169e62bfb362f44f471020faa2e6cc,A compressed domain change detection algorithm for RTP streams in video surveillance applications,"Siemens Corporate Technology, Imaging and Visualization Munich, Germany" -d950a5293f68cab6602510261e858643fd7f1966,Luminance Sticker Based Facial Expression Recognition Using Discrete Wavelet Transform for Physically Disabled Persons,"University Malaysia Perlis, Kangar, Malaysia" d96585b5d9eb2bf503d0c34c3a3decd287228ca7,Sketch based image retrieval using a soft computation of the histogram of edge local orientations (S-HELO),"Computer Vision Research Group, Orand S.A. Estado 360 of 702, Santiago, Chile" d95e6185f82e3ef3880a98122522eca8c8c3f34e,A video database of moving faces and people,"Sch. of Behavioral & Brain Sci., Texas Univ., Richardson, TX, USA" da8d102e9e5ed5d79200e019b8d47a256a1f8452,Multitarget Sparse Latent Regression,"London Health Sciences Centre, London, ON, Canada" @@ -5549,7 +3291,6 @@ dacb596193e91f8738769f8f4a637dcd78c4255c,How many bits do I need for matching lo dacb596193e91f8738769f8f4a637dcd78c4255c,How many bits do I need for matching local binary descriptors?,"Rakuten, Inc., Japan" da493ce5f743413d8df806fc8d388525493974be,A Weighted Voting Model of Associative Memory: Experimental Analysis,"Department of Electrical and Computer Engineering Rose-Hulman Institute of Technology Terre Haute, IN 47803 mu@Rose-Hulman.edu" da7ab36f1d14bedf0a3280257342bd1dba9833e1,Temporal integration for on-board stereo-based pedestrian detection,"Corporate Research & Development Center, TOSHIBA Corporation, Japan" -dacf0682d0a58af9b5dcfe15243f30aaa2d94a34,Joint Individual-Group Modeling for Tracking,"Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy" da4f41beeb80e57b79855274d4375f4bc514d11c,Adaptive ROI-based autonomous pedestrian detection system,"Information & Control Engineering, Hankyong National University, Anseong, 456-749, Korea" dab8b00e5619ceec615b179265cd6d315a97911d,A two-stage training deep neural network for small pedestrian detection,"Graduate School of Science and Engineering, Teikyo University" dabde7204e23d0ddd96805ae66b7730ab0808f28,Robust Map Alignment for Cooperative Visual SLAM,"Chair of Media Technology, TUM, Munich, Germany" @@ -5560,32 +3301,24 @@ da0a22969a3f72eefe994bd9fec446cdf7566491,A Side of Data With My Robot,"Redwood S dafe65b9ca65c67b3a655755ca26e0ffef049df1,Emotions detection using facial expressions recognition and EEG,"Slovak University of Technology in Bratislava, Faculty of Informatics and Information Technologies, Ilkovičova 2, 842 16, Slovak Republic" dae70eb5e393c0f05fa7b75d5ad48070743f622f,Fisher-selective search for object detection,"Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA" dae70eb5e393c0f05fa7b75d5ad48070743f622f,Fisher-selective search for object detection,"Department of Electrical and Electronics Engineering, Center for Image Analysis (OGAM) Middle East Technical University, Ankara, Turkey" -da2d7ca77376b90a79287a517f596af628c8f488,The development trend of evaluating face-recognition technology,"The Testing Center, The Third Research Institute of the Ministry of Public Security, Shanghai, China" daa8a47e0b40bdbfa2584e193f76798c79955fdd,Semantic and neighborhood preserving dictionary learning for symmetric positive-definite matrices,"Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing 100094, P.R. China" da54a3d6dc5827abba96edf5ec1e6791ad05760b,An application for encouraging positive emotions by displaying an animation,"Kogakuin Univ., Tokyo, Japan" da54a3d6dc5827abba96edf5ec1e6791ad05760b,An application for encouraging positive emotions by displaying an animation,"UNIADEX, Ltd., Tokyo, Japan" da48fb38e4b7dddf6685c8a2a0c62bdaef3168f6,A patch memory system for image processing and computer vision,"NVIDIA, Santa Clara, CA" da48fb38e4b7dddf6685c8a2a0c62bdaef3168f6,A patch memory system for image processing and computer vision,"Qualcomm, Santa Clara, CA" -da9d71087025ca20fe0259b9aabf803e9d556160,Motion priors based on goals hierarchies in pedestrian tracking applications,"Centro de Investigación en Matemáticas (CIMAT A.C.), Guanajuato, Mexico" -da8f9211ea60755bb40811bb92de76be389566c6,Image and Video Captioning with Augmented Neural Architectures,Max Planck Institute of Informatics and Saarland University da8f9211ea60755bb40811bb92de76be389566c6,Image and Video Captioning with Augmented Neural Architectures,Aalto University School of Science and Tampere University of Technology da8f9211ea60755bb40811bb92de76be389566c6,Image and Video Captioning with Augmented Neural Architectures,Aalto University School of Science da2b2be4c33e221c7f417875a6c5c74043b1b227,Score normalization in stratified biometric systems,"Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA" -da578542356d83fbe21a1ea89855bb0a02bdeb26,The art of pervasive eye tracking: unconstrained eye tracking in the Austrian Gallery Belvedere,"University of Tübingen, Tübingen, Germany" dab134705fc67f560b4276a39a8219ed0b3d572e,Indoor Scene Understanding with Geometric and Semantic Contexts,"NEC Laboratories America, Cupertino, USA" dab134705fc67f560b4276a39a8219ed0b3d572e,Indoor Scene Understanding with Geometric and Semantic Contexts,"Google, Inc, Mountain View, USA" -813cc31130ceab1668da1ac6646eea4b6a4be6b6,A new deep representation for large-scale scene classification,"Zhejiang Huayun, Zhejiang, China" -813c93c54c19fd3ef850728e6d4a31d279d26021,Emotion identification by facial landmarks dynamics analysis,"Image Processing and Analysis Laboratory, University “Politehnica” of Bucharest, Romania" 813c93c54c19fd3ef850728e6d4a31d279d26021,Emotion identification by facial landmarks dynamics analysis,"IT Department, Faculty of Engineering, University of Mons, Belgium" 811933108581e93b69f8183e545e843c6eb6db96,HOBS: head orientation-based selection in physical spaces,"Google Research, Mountain View, CA, USA" 810ce6d1a3fbf6fd850b0ab75f4a86db02926dae,Decentralized face recognition scheme for distributed video surveillance in IoT-cloud infrastructure,"Thundercloud Research Lab, Faculty of Info. Science & Technology (FIST) Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia" -819c93dfe531ad6aba71cd48942c9e07b7a89b1b,Face parts importance in face and expression recognition,"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19 Bratislava, Slovak Republic" 810cb76794fe11990cfe30f48faf222f7469ce3d,A survey of classification accuracy using multifeatures and multi-kernels,"Research & Development Department, Broadcast Research and Application Center, Ho Chi Minh City, Vietnam" 810cb76794fe11990cfe30f48faf222f7469ce3d,A survey of classification accuracy using multifeatures and multi-kernels,"Electric-Electronic Department, Ho Chi Minh University of Technology, Ho Chi Minh City, Vietnam" 810cb76794fe11990cfe30f48faf222f7469ce3d,A survey of classification accuracy using multifeatures and multi-kernels,"Electronic Telecommunication Division, Ho Chi Minh City University of Industry, Ho Chi Minh City, Vietnam" 81840ed3a0af562d428a9c8f9d8dcd5605c4c1f8,Intelligent system for visual navigation,"National Aviation University, Kyiv, Ukraine" 8173c811950c1c357253b3ed7c9afbb21ce6874a,A comparison between hybrid models for classifying Bangla isolated basic characters,"Department of Computer Science and Engineering, University of Liberal Arts, Bangladesh (ULAB), House No. 56, Road No. 4/A, Satmasjid Road, Dhaka 1209, Bangladesh" -81af86e3d343a40ce06a3927b6aa8c8853f6811a,MUSA: a banana database for ripening level determination,"Thiagarajar College of Engineering, Madurai, Tamilnadu, India" 81f3306d1115004a4a54a7e411715014e0631821,A New Facial Features and Face Detection Method for Human-Robot Interaction,"Intelligent Robotics Research Center Korea Institute of Science and Technology (KIST) Hawolgok-dong 39-1, Sungbuk-ku, Seoul 136-791, Korea dungding@kist.re.kr" 811f42b16e917a53cbcc605112781d8ab76bd31b,Care to Share?: Learning to Rank Personal Photos for Public Sharing,"Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel" 811f42b16e917a53cbcc605112781d8ab76bd31b,Care to Share?: Learning to Rank Personal Photos for Public Sharing,"Yahoo Research, Haifa, Israel" @@ -5596,114 +3329,68 @@ dab134705fc67f560b4276a39a8219ed0b3d572e,Indoor Scene Understanding with Geometr 8139b28693afabfbbd1c5862048888d8e8d77406,Thermal infrared face recognition based on lattice computing (LC) techniques,"Human-Machines Interaction (HMI) Laboratory, Dept. of Industrial Informatics, TEI of Kavala, Agios Loukas 65404, Greece" 81a80b26979b40d5ebe3f5ba70b03cb9f19dd7a5,Histogram equalized deep PCA with ELM classification for expressive face recognition,"Department of Business Computer, Faculty of Management Science, Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima, Thailand" 811c4c1647bbe6c048b61ab3611bd10c2d1f5ebc,Dynamic management of a partial reconfigurable hardware architecture for pedestrian detection in regions of interest,"DRIVE EA 1859 Laboratory, Univ. Bourgogne Franche Comté, F58000, Nevers, France" -811c4c1647bbe6c048b61ab3611bd10c2d1f5ebc,Dynamic management of a partial reconfigurable hardware architecture for pedestrian detection in regions of interest,"LE2I Laboratory. Univ. Bourgogne Franche Comté, F21000, Dijon, France" -81094f1b736cedc19597f88de6c1b722a453b1d7,Graph mining for object tracking in videos,"Laboratoire Hubert Curien, UMR CNRS 5516, Université de Lyon, Université Jean Monnet de Saint-Etienne, Saint-Etienne, France" -81094f1b736cedc19597f88de6c1b722a453b1d7,Graph mining for object tracking in videos,"Alcatel-Lucent Bell Labs, Centre de Villarceaux, Nozay, France" -8106f23890cfd7c7e3d023a3f9acabbfca36c7ef,Efficient face recognition using shifted phase-encoded fringe-adjusted joint transform correlator,"Dept of Electrical and Computer Engineering, University of South Alabama, AL, USA" -812a32915097a8f947e8a64ef3ac7a343463b3f8,A hybrid fusion based frontal-lateral collaborative pedestrian detection and tracking,"imec-IPI-Ghent University, Sint-Pietersnieuwstraat 41, 9000 Gent, Belgium" 812a32915097a8f947e8a64ef3ac7a343463b3f8,A hybrid fusion based frontal-lateral collaborative pedestrian detection and tracking,"Flanders Make, Oude Diestersebaan 133, 3920 Lommel, Belgium" -81bae1505b1d404cecebb9e1b17162ac124cf4e8,Improved saliency detection based on Bayesian framework for object proposal,"Digital Media Department, Huawei Software Technologies Co., Ltd. Nanjing, China" -8161b85a9d4593bc58f225a3aa29eb9e3f59f652,Human shape recognition using radon transform and regularized principal component,"Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, MALAYSIA" -8145b0fafd5b91d38d49d1f81f2f3fc251de2433,Demo: Real-time contour-based pedestrian detection,"AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, 1220 Vienna, Austria" 815e71b83bbfde33756fd5aea4eef74008342ce1,Group activity description and recognition based on trajectory analysis and neural networks,"Computer Technology Department, University of Alicante, Spain" 815e71b83bbfde33756fd5aea4eef74008342ce1,Group activity description and recognition based on trajectory analysis and neural networks,"Computer Science and Artificial Intelligence Department, University of Alicante, Spain" -81d0815a09b6c73ddb68c96efbdaf3f92968eb1f,Tag completion based on belief theory and neighbor voting,"CEA & Ecole Centrale Paris, Gif-sur-Yvettes, France" 81d0815a09b6c73ddb68c96efbdaf3f92968eb1f,Tag completion based on belief theory and neighbor voting,"CEA, Gif-sur-Yvettes, France" -81d0815a09b6c73ddb68c96efbdaf3f92968eb1f,Tag completion based on belief theory and neighbor voting,"Ecole Centrale Paris, Antony, France" 819cc41c4b5370ef9ad6eaced1fe4005aa5fd2e6,Multitarget data association with higher-order motion models,"The Pennsylvania State University, University Park, PA 16802, USA" 813dc79f5f439050d68c923a410940d0d139ceb2,Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model,"School of Electronics Engineering, Kyungpook National University, Taegu, Korea" 813dc79f5f439050d68c923a410940d0d139ceb2,Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model,"Dept. Of Information and Communication Engineering, Dongguk University, Gyeongbuk, Korea" 4140ccbca5a585162420b82e9e4eeb9afbd1e7c2,Simulating Crowds in Egress Scenarios,"Virtual Humans Simulation Lab, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil" 4140ccbca5a585162420b82e9e4eeb9afbd1e7c2,Simulating Crowds in Egress Scenarios,"Computer Science Department, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil" -4140ccbca5a585162420b82e9e4eeb9afbd1e7c2,Simulating Crowds in Egress Scenarios,"The Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil" 41a21f4b272a33e71b73e2d533e0d86875aecac9,Video similarity search by using compact representations,"Universidade Federal de Minas Gerais (UFMG), Brazil" 41a21f4b272a33e71b73e2d533e0d86875aecac9,Video similarity search by using compact representations,"Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Brazil" -41a21f4b272a33e71b73e2d533e0d86875aecac9,Video similarity search by using compact representations,"École d'Ingénieur Généraliste en Informatique et Technologies du Numérique (EFREI), France" 41272037f6a7a4058f9c52843b9025b7b3cd13a9,Nonnegative matrix factorization with Hessian regularizer,"Computer Science Department, School of Information Science and Engineering, Xiamen, University, Xiamen, People’s Republic of China" -410bc0b3bd82c85c98df71ec0cfe995f14621077,Erratum to: Relative manifold based semi-supervised dimensionality reduction,"School of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou, China" -410bc0b3bd82c85c98df71ec0cfe995f14621077,Erratum to: Relative manifold based semi-supervised dimensionality reduction,"Shenzhen Key Laboratory of High Performance Data Mining, Shenzhen, China" -4143292a7544bce8c275b5f9a118268dfd3db950,Scene guided colorization using neural networks,"School of Information and Safety Engineering, Zhongnan University of Economics and Law, Wuhan, China" -41c8e222ebb26e72050f5d26c82f25d7618b700f,Automatic human facial expression recognition using Hidden Markov Model,"Department of ECE, Kalasalingam University, India" -41b1d0a7bdf1753288e144e9df8205600382658b,Use of vanishing points for the early estimation of the curvature of a road through a sequence of images,"Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional del Comahue. Buenos Aires 1400, Neuquén CP 8300, Argentina" 41b1d0a7bdf1753288e144e9df8205600382658b,Use of vanishing points for the early estimation of the curvature of a road through a sequence of images,"Instituto de Investigaciones en Ingeniería Eléctrica (IIIE), Universidad Nacional del Sur-CONICET. Av. Alem 1254, Bahía Blanca CP 8000, Argentina" -412ab6f96f0dd928e158d07aefb391926b3d1a82,Symmetry description and face recognition using face symmetry based on local binary pattern feature,"Department of Automation, Shanghai Jiaotong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China" 413388515ec220144c91dd0cfb7dae0c36b35d73,Vehicle type classification from laser scanner profiles: A benchmark of feature descriptors,"Xerox Research Centre Europe, FRANCE" 41eedd1e627a060f6955d8e04a3e9307a7b8ae6c,A new perspective — Face recognition with light-field camera,"Norwegian Biometric Laboratory, Gj⊘vik University College, Norway" 4189b500e98c4caf68046a124feef6397bcaa555,Learning Vehicle Surrounding-aware Lane-changing Behavior from Observed Trajectories,General Motors Company -4137c8f2adfd3129d02e82a760ea4fcb2011b31d,Re-ranking for person re-identification,"Multimedia Communications Laboratory, University of Information Technology VNU-HCM, Ho Chi Minh City Vietnam" -41f195f421b548357088c2985077d6b14003ce7e,Expression-independent face recognition based on higher-order singular value decomposition,"Department of Transportation Engineering, Beijing Institute of Technolgoy, 100081, China" 41574bbb811bf5f257e84f121f47d8ea0580058b,Rotated face recognition by manifold learning with auto-associative neural network,"Graduate School of Engineering, Mie university, Mie, Japan" 41574bbb811bf5f257e84f121f47d8ea0580058b,Rotated face recognition by manifold learning with auto-associative neural network,"Mie university, Mie, Japan" -417911ca5363d74b0eec6b5328fb4f4cd3ec043c,The Real-Time Detection and Prediction Method for Ballistic Aircraft Based on Distributed Sensor Networks,"Department of Early Warning Surveillance Intelligence, Air Force Early Warning Academy, Wuhan, China" -417911ca5363d74b0eec6b5328fb4f4cd3ec043c,The Real-Time Detection and Prediction Method for Ballistic Aircraft Based on Distributed Sensor Networks,"Equipment Development and Application Research Center, Air Force Engineering University, Xi’an, China" -411eb3c02c676b80aabb9c1455cb581320834e38,A SFM-based sparse to dense 3D face reconstruction method robust to feature tracking errors,"Department of Electronic Engineering Tsinghua University, Beijing, China, 100084" 4166aa3fa97e9e835056133d2140c2f405e8a9ab,Who Blocks Who: Simultaneous Segmentation of Occluded Objects,"Multimedia Interaction and Understanding Lab, HP Labs, Palo Alto, U.S.A." 41bde18c16d586865f8f60fbd3773422d6eb5890,Assessing semantic information in convolutional neural network representations of images via image annotation,"Lawrence Livermore National Laboratory, Computational Engineering Division, Livermore, CA USA" 41bde18c16d586865f8f60fbd3773422d6eb5890,Assessing semantic information in convolutional neural network representations of images via image annotation,"In-Q-Tel, Menlo Park, CA USA" -41e6160f79940d797c420e0e6d5aba90091553b1,License plate recognition using MSER and HOG based on ELM,"Institute of Smart City Systems, Qingdao Academy of Intelligent Industries, China" -41e6160f79940d797c420e0e6d5aba90091553b1,License plate recognition using MSER and HOG based on ELM,"Guang Zhou Communication Information Construction Investment and Operation Co. Ltd, China" -41399dac2075aa82421c8603edb29427da3a6166,A novel night vision image color fusion method based on scene recognition,"Jiangsu Automation Research Institute, Lianyungang, China" 4104eccb9288a35cb3d00e29a9bf0d6282608d4d,"Recognizing Stress, Engagement, and Positive Emotion","Massachusettes Institute of Technology Media Lab, Cambridge, MA, USA" e76e1faf1f92eee805c9c7cc76c5dda23f568f49,Features Selection for the Most Accurate SVM Gender Classifier Based on Geometrical Features,"Faculty of Physics and Applied Informatics, University of Lodz, Lodz, Poland" e76e1faf1f92eee805c9c7cc76c5dda23f568f49,Features Selection for the Most Accurate SVM Gender Classifier Based on Geometrical Features,"Department of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Ireland" e7893712592c592eeaaf1c7112aee41f6d2d3998,Face hallucination based on nonparametric Bayesian learning,"Faculty of Engineering and Information Technology, University of Technology, Sydney" e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890,Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking,"Department of Computer Science and Engineering, Incheon National University, South Korea" e7e070a929d7911ef2f8c6f6d4e3c5d62c5a9890,Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking,"School of Information and Communications, Gwangju Institute of Science and Technology, Buk-Gu, Gwangju, South Korea" -e7b7df786cf5960d55cbac4e696ca37b7cee8dcd,A sparse kernel representation method for image classification,"Department of electronic engineering, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China" -e7ad31d5dfbf2d726fe53f1367b45b7174aa4b62,Comments on the “Kinship Face in the Wild” Data Sets,"CDTA, Algeria" e76704e56ba5f485499ddfdfbed7088609e45766,Human detection model using feature extraction method in video frames,"Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS) Taibah University" -e76704e56ba5f485499ddfdfbed7088609e45766,Human detection model using feature extraction method in video frames,"Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS)" e74cc004dc22ac30ddb77b6750aa326bbd41082f,Person re-identification based on deep multi-instance learning,MTA SZTAKI Institute for Computer Science and Control -e7f268bfe0016412db538b57300d46d7bd728867,New Experiments on ICP-Based 3D Face Recognition and Authentication,"Ecole Centrale de Lyon LIRIS Laboratory, CNRS, France" -e7120dde20d8518413180e8e635cc1dabc5e8072,Facial expression recognition using wavelet and k-nearest neighbour,"Department of Computer Science and Engineering, P.A College Of Enginnering And Technology, Coimbatore, India" e7ccc669084d42c25f429dc61bac9f481100c2a1,Object tracking based on morphological elastic graph matching,"Dept. of Inf., Aristotle Univ. of Thessaloniki, Greece" -e76119b7812aabbeefd322ea70c95f2805e27f22,Partial-Duplicate Clustering and Visual Pattern Discovery on Web Scale Image Database,"Microsoft Research Asia, Haidian District, China" -e781f2b75fa9b2bb0f41dfa8dd248bcf874e2080,Image de-noising based on association-prediction model,"Center of Information Development and Management, Hefei University, Hefei 230061, China" e7697c7b626ba3a426106d83f4c3a052fcde02a4,Real time 3D face alignment with Random Forests-based Active Appearance Models,"Computer Vision Laboratory, ETH Zurich, Sternwartstrasse 7, 8092, Switzerland" e7796cb863c1e25b393ef05241e222a6355bd4e4,Conformation-Based Hidden Markov Models: Application to Human Face Identification,"Mathematics and Computer Science Department, , Grambling State University, Grambling, LA, USA" -e7beddae52b1bfe952b0af2f4dd1b29dba9061e6,Cluster's Quality Evaluation and Selective Clustering Ensemble,"Shanxi University, Shanxi Province, China" e73f076f66a5e4aa76c1b6d623a06cb88b599b85,A Filter Formulation for Computing Real Time Optical Flow,"Australian Centre for Robotic Vision (ACRV), Brisbane, Qld., Australia" e7dd1ad267f5b9483400bf03e101de7f9cca1e39,Multi-view object detection in dual-energy X-ray images,"Department of Computer Engineering, Turgut Özal University, Ankara, Turkey" e74696594014d70678f6835a948e49e8fae7bb5a,Comparative analysis of multiple kernel learning on learning emotion recognition,"Sunway University: Department of Computer Science and Networked Systems, Petaling Jaya, Malaysia" e74696594014d70678f6835a948e49e8fae7bb5a,Comparative analysis of multiple kernel learning on learning emotion recognition,"Edith Cowan University: School of Engineering, Joondalup WA 6027, Australia" e71da35611f4ca7fa19180839a0680f65de78c4f,Embedded multi-processor system-on-programmable chip for smart camera pose estimation using nonlinear optimization methods,"Aubiere Cedex, France" -e72c4139e3d2d85915b065f2608f65ebe879b6f5,A Novel Vision-Based Tracking Algorithm for a Human-Following Mobile Robot,"Department of Electrical Engineering, Indian Institute of Technology at Kanpur, Kanpur, India" -e72c4139e3d2d85915b065f2608f65ebe879b6f5,A Novel Vision-Based Tracking Algorithm for a Human-Following Mobile Robot,"TCS Research, Tata Consultancy Services, New Delhi, India" e7c96fd067bc622abda2015cdaeed0f462d21df6,Similarity-Based Pattern Recognition,"DAIS, Università Ca’ Foscari, Venice, Italy" -541a82917883657a9b9c069559e2d0b890904dfc,Number Local binary pattern: An Extended Local Binary Pattern,"Department of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou 730020, China" 54483d8b537e51317a8e6c6caf4949d4440c9368,A comparison of geometrical facial features for affect recognition,"Elektrik ve Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey" 54f892f62580c11a5742f60ff87f8231406e6502,Cognitive Enhancement,"Roche Pharmaceutical Research and Early Development; Neuroscience, Ophthalmology and Rare Diseases, F. Hoffmann-La Roche Ltd., Basel, Switzerland" 5438e7c8151311d76ed7335051069c7c07113a12,Manifold ranking weighted local maximal occurrence descriptor for person re-identification,"University of Greenwich, London, United Kingdom" 5418b64b3ea9bc04ed518a6a8c0f19d6d3339295,Light Field Based Face Recognition via a Fused Deep Representation,"Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal" -54b2a176f061b8e045e01b49dacaf1a96e8fffae,Real-time recognition of suicidal behavior using an RGB-D camera,École de technologie superieure 54b2a176f061b8e045e01b49dacaf1a96e8fffae,Real-time recognition of suicidal behavior using an RGB-D camera,"LICÉF research center, TÉLUQ University, Montreal (QC), Canada" 5467fc08f86538c0a51ecbc09bde9cdba37341d0,Autocalibration of lidar and optical cameras via edge alignment,"New Mexico State University, Klipsch School of Electrical Engineering, Las Cruces, NM 88003" 5467fc08f86538c0a51ecbc09bde9cdba37341d0,Autocalibration of lidar and optical cameras via edge alignment,"Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA 02139" 548364f5f2fa0290f5730586ffbbf5e1a99ac18f,Puzzling face verification algorithms for privacy protection,"GREYC, Universite of Caen, Caen, France" 548364f5f2fa0290f5730586ffbbf5e1a99ac18f,Puzzling face verification algorithms for privacy protection,"Inria, Rennes, France" -54a2fdd4402c45abd7247e4c393ee58528baf8ee,"Understanding Indoor Scene: Spatial Layout Estimation, Scene Classification, and Object Detection","School of Computer Science and Technologym Huazhong University of Science and Technology, China" 540502d954529b37bfb2a0944126c7c4268ee39d,Recognition for objects by relationship between attributes,"Department of Information system Science, Graduate School of Engineering, Soka University, Hachioji-Shi, Tokyo, Japan" -54966a5ac5a2aa19760fb5197889fa9dcccac1d1,Effective classification of 2DPCA and 2DLDA features for face recognition,"School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, Jinan, China" 54eb104b9b59315a24038e366283c1034c30ff69,Benchmarking human motion analysis using kinect one: An open source dataset,"School of Computing, Mathematics and Digital Technology" 54eb104b9b59315a24038e366283c1034c30ff69,Benchmarking human motion analysis using kinect one: An open source dataset,"School of Healthcare Science Manchester Metropolitan University, UK, M1 5GD" -543d2992bd50aee2019b5553ceb64f84afcd83db,Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition,"School of Computer Science and Engineering, Tianjin University of Technology, China" -543d2992bd50aee2019b5553ceb64f84afcd83db,Super Wide Regression Network for Unsupervised Cross-Database Facial Expression Recognition,"School of Electrical and Electronic Engineering, Tianjin University of Technology, China" 54fbdd6f2f916db9a518f1a2e0b5d235931f47a8,HEp-2 cell classification using a deep neural network trained for natural image classification,"Elektrik-Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye" 54d7e756a8f14d01a557fe87f62cbf90e905b04a,Cascade classifiers based robust pedestrian detection,"Departamento de Seguridad y Defensa, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador" 54d7e756a8f14d01a557fe87f62cbf90e905b04a,Cascade classifiers based robust pedestrian detection,"Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador" 54d7e756a8f14d01a557fe87f62cbf90e905b04a,Cascade classifiers based robust pedestrian detection,"Universitat de Barcelona, Barcelona, España" 54d7e756a8f14d01a557fe87f62cbf90e905b04a,Cascade classifiers based robust pedestrian detection,"Grupo de Investigación GREC, Universitat Politècnica de Catalunya, Barcelona, España" 5435d5f8b9f4def52ac84bee109320e64e58ab8f,Evaluating real-life performance of the state-of-the-art in facial expression recognition using a novel YouTube-based datasets,"Department of Computer Science, University of Science & Technology, Bannu, Pakistan" -5435d5f8b9f4def52ac84bee109320e64e58ab8f,Evaluating real-life performance of the state-of-the-art in facial expression recognition using a novel YouTube-based datasets,"Department of Computer Science, Innopolis University, Kazan, Russia" -5481464c7058475da126796df43c6942ee12c11b,Collective First-Person Vision for Automatic Gaze Analysis in Multiparty Conversations,"Nippon Telegraph and Telephone Corporation, Kanagawa, Japan" 544b31e9de8e70a6f9ee0a93496f1c8769a54a32,Concurrent photo sequence organization,"DICGIM, University of Palermo, Palermo, Italy" -543678282ab9e3a5d0cb2ca0293b8577c4ab48b0,Human detection from hemispherical image based on probabilistic appearance model,"Osaka Municipal Technical Research Institute, Boulder, 536-8553 JAPAN" 54f96a4b675eff2d75d1fcb517fc4a9cd64f6966,Experimental studies on indoor sign recognition and classification,"Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, 02881, USA" 54f96a4b675eff2d75d1fcb517fc4a9cd64f6966,Experimental studies on indoor sign recognition and classification,"Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, MA 01609-2280, USA" 548233d67f859491e50c5c343d7d77a7531d4221,Robust detection of outliers for projection-based face recognition methods,"Orange—France Telecom Division R&D—TECH/IRIS, Cesson Sévigné Cedex, France" 54d448f7238b424d7504543e4cb81a0e94ecc6e6,On combining local DCT with preprocessing sequence for face recognition under varying lighting conditions,"Advanced Technologies Application Center, Playa, Cuba" 5e69f33032488e9c897bf71d74bf3d76a6e3c648,Role of Statistical Dependence Between Classifier Scores in Determining the Best Decision Fusion Rule for Improved Biometric Verification,"ECE Department, CyLab, Carnegie Mellon, Pittsburgh, USA" -5edf937723d48b03443b0cb27d32cb7c3cff3c17,A 3D Face Recognition System for Expression and Occlusion Invariance,"Philips Research, Eindhoven, The Netherlands, berk.gokberk@philips.com" 5e09155cfb7a8bab2217e5d34cd0d6a4a0586868,Class-specific factor analysis for object recognition,"Bilişim Enstitüsü, İTÜ, Turkey" 5e09155cfb7a8bab2217e5d34cd0d6a4a0586868,Class-specific factor analysis for object recognition,"Bilgisayar Mühendisliği Bölümü, İTÜ, Turkey" 5e024e0fd57ab03e4fc767ffa5fa4c71328d5ad7,Kalman Filter Based Multiple Human Tracking Method in Auto-aligned Multi-Camera Environment,"Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea" @@ -5711,45 +3398,34 @@ e7c96fd067bc622abda2015cdaeed0f462d21df6,Similarity-Based Pattern Recognition,"D 5e53f530871b5167be0f224993be8a38e85796e8,Automatic facial expression recognition: A survey based on feature extraction and classification techniques,"Shree Vaishnav Institute of Technology and Science, Indore (M.P) India" 5e236d5cc4399888acfe58a7aae740147474e7b6,A comprehensive review of recent advances on deep vision systems,"Department of Computer Science, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia" 5e108b7707444e0cda8058982b468d5c424b2482,A Real-Time Deformable Detector,"École Polytechnique Fédérale de Lausanne (EPFL), Lausanne and Electronic Microtechnology (CSEM), Neuchâtel" -5e108b7707444e0cda8058982b468d5c424b2482,A Real-Time Deformable Detector,"Electronic Microtechnology (CSEM), Neuchâtel" 5e108b7707444e0cda8058982b468d5c424b2482,A Real-Time Deformable Detector,"École Polytechnique Fédérale de Lausanne (EPFL), Lausanne" 5ec4e91940455b8583d8cdcbe12a3b54ef0a0971,Better feature acquisition through the use of infrared imaging for human detection systems,"Optronic Sensor Systems, Council for Scientific and Industrial Research, Pretoria, South Africa" 5e91464e4d9f61c0c6038447d76e14eed6758a6e,Thermal Sensor-Based Multiple Object Tracking for Intelligent Livestock Breeding,"Department of Electronics Engineering, Konkuk University, Seoul, South Korea" 5e91464e4d9f61c0c6038447d76e14eed6758a6e,Thermal Sensor-Based Multiple Object Tracking for Intelligent Livestock Breeding,"Department of Animal Science and Technology, Konkuk University, Seoul, South Korea" 5ea5a9f6fbc7209355cb98fc70b177326e0fe09b,PRIMA 2014: Principles and Practice of Multi-Agent Systems,"NICTA Queensland Research Laboratory, Brisbane, Australia" -5ea5a9f6fbc7209355cb98fc70b177326e0fe09b,PRIMA 2014: Principles and Practice of Multi-Agent Systems,"Nagoya Institute of Technology, Showa-ku, Japan" 5ef3305303e86fcb1a0f8b7aaaacdc5974f3bd94,Learning the Spherical Harmonic Features for 3-D Face Recognition,"CNRS, École Centrale de Lyon, University of Lyon, Lyon, France" 5e59284a1497d877c500ddef7f33cb91fc445817,Automatic Semantic Parsing of the Ground Plane in Scenarios Recorded With Multiple Moving Cameras,"Video Processing and Understanding Lab, Universidad Autónoma de Madrid, Madrid, Spain" -5e0b691e9e5812dd3cb120a8d77619a45aa8e4c4,Pose-indexed based multi-view method for face alignment,"Beijing Key Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China" 5e387b29ba253ddfe402509b2608d3f964721a8a,Sport Action Recognition with Siamese Spatio-Temporal CNNs: Application to Table Tennis,"Univ. Bordeaux, LaBRI Talence, France" 5e387b29ba253ddfe402509b2608d3f964721a8a,Sport Action Recognition with Siamese Spatio-Temporal CNNs: Application to Table Tennis,"Univ. La Rochelle, MIA La Rochelle, France" -5e387b29ba253ddfe402509b2608d3f964721a8a,Sport Action Recognition with Siamese Spatio-Temporal CNNs: Application to Table Tennis,"Univ. Bordeaux, Bordeaux IMS Talence, France" 5e19d7307ea67799eb830d5ce971f893e2b8a9ca,Heteroscedastic Sparse Representation Based Classification for Face Recognition,"School of Mathematics and Information Technology, Nanjing Xiao Zhuang University, Nanjing, People’s Republic of China" 5e6d63dce8c41f1a4414f7124eaf8be9360fe485,Situation awareness of cancelable biometric system,"Department of Computer Science, 2500 University of Calgary, Calgary, Canada" -5e6d63dce8c41f1a4414f7124eaf8be9360fe485,Situation awareness of cancelable biometric system,"ICPT and MIPT (SU), Moscow, Russia" 5e99aeae07c8f599ab2251a1f62703d0380d1e14,Dictionary learning for a sparse appearance model in visual tracking,"École Centrale de Lille, CRIStAL, UMR CNRS 9189" -5e99aeae07c8f599ab2251a1f62703d0380d1e14,Dictionary learning for a sparse appearance model in visual tracking,"Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France" fa62bb5355ee5447ec651f56b9e06645eb2f56f0,Co-design system for template matching using dedicated co-processor and modified elephant herding optimization,"Brazilian Navy, Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil" fa62bb5355ee5447ec651f56b9e06645eb2f56f0,Co-design system for template matching using dedicated co-processor and modified elephant herding optimization,"Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil" fa62bb5355ee5447ec651f56b9e06645eb2f56f0,Co-design system for template matching using dedicated co-processor and modified elephant herding optimization,"Department of System Eng. and Computation, State University of Rio de Janeiro, Rio de Janeiro, Brazil" faa584c239ca4ba3418a8cd9551c3adcafd0a3be,Human and machine recognition of Fourier-Bessel filtered face images,"Dept. of Comput. Sci., Sao Paulo Univ., Brazil" fac5a9a18157962cff38df6d4ae69f8a7da1cfa8,Face recognition from a single training image under arbitrary unknown lighting using spherical harmonics,"Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA" -fa3ae082e585e131e83b5ce934c6549d6a056205,Classifying objectionable images based on MPEG-7 visual descriptors and saliency detection,"Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea" -fa87fbc7df4e56318a38f06ceafa47206b4117ce,Probabilistic two-dimensional principal component analysis and its mixture model for face recognition,"School of Mathematics and Physics, Anhui University of Technology, Maanshan, China" faa750becfb1fb65511130d73b14cd692da07444,Human body part detection using likelihood score computations,"Institute of Infocomm Research, A-STAR, Singapore" -fa2d3c78981ef0e19557e51d85b6dda05345c380,Detection of valuable left-behind items in vehicle cabins,"Jaguar Land Rover Research, Coventry, UK" fa7377104d6246a38e432c95e2179e53c2678fd0,Multi-view joint learning network for pedestrian gender classification,"Department of Computer Science, The City University of Hong Kong, Hong Kong" fab2ce774ce8ee7aa8950527aa02ec5e46f1bb74,Occlusion Invariant Face Recognition Using Two-Dimensional PCA,"Samsung Electronics Co. Ltd., Suwon, Korea" fab2ce774ce8ee7aa8950527aa02ec5e46f1bb74,Occlusion Invariant Face Recognition Using Two-Dimensional PCA,"School of Mechanical Design and Automation Engineering, Seoul National University of Technology, 139-143, Seoul, Korea" fa2f0577f07fdbe6076ccc6e5a9f54eab5247d53,Fast PCA-based face recognition on GPUs,"School of Electrical and Computer Engineering, University of Seoul, Korea" fa40bf7f7d16a72cb6e203e0ea438fc4c575396d,2D-3D semantic segmentation using cardinality as higher-order loss,"Australian National University (ANU), Australia" fa11e3517ed9b08ca1d0dcca2cc5bc3a6ada9fcb,The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics,"Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland" -faeb50fd92c9b4946cd2789ce5edfed6b93a058c,Pictorial Human Spaces: A Computational Study on the Human Perception of 3D Articulated Poses,"Institute of Mathematics of the Romanian Academy, Bucharest, Romania" fa634d2194974f52bff30e2ffab81c3f97c49b57,Crowd Estimation Using Region-Specific HOG With SVM,"Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines" fab39542b04d5aac48349e456cdb300e7786ee6b,Object recognition and retrieval by context dependent similarity kernels,"UMR 5141, LTCI, Telecom ParisTech, France" fab39542b04d5aac48349e456cdb300e7786ee6b,Object recognition and retrieval by context dependent similarity kernels,"Certis, Lab, ENPC ParisTech, France" fa8353a89cb822d530d2da6bdf071b7315fa2b44,Smart elevator system for hazard notification,"School of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, Pakistan" -faff8ca21ffbffcbc871f3a2f2f3938c7cff407b,Discriminative Sparsity Preserving Projections for Semi-Supervised Dimensionality Reduction,"College of Mathematics & Information Science, Wenzhou University, Wenzhou, China" faff106a31c0eaa60511c7d9a8e4cd4c42374b34,MapReduce neural network framework for efficient content based image retrieval from large datasets in the cloud,"School of Science, Information Technology and Engineering, University of Ballarat, Australia" 721119b5f15ccccfd711571fb5a676d622d231bf,An Implementation Framework for Kernel Methods with High-Dimensional Patterns,"Department of Computer Science & Technology, Nanjing University of Science & Technology, Nanjing 210094. E-MAIL: laterfall2@yahoo.com.cn" 7200b479b791f336552ab421871c217e73bf314e,Effects of the menstrual cycle on looking preferences for faces in female rhesus monkeys,"Department of Psychology, University of Massachusetts-Amherst, Amherst, USA" @@ -5761,14 +3437,8 @@ faff106a31c0eaa60511c7d9a8e4cd4c42374b34,MapReduce neural network framework for 72a3bb0fb490355a926c5a689e12268bff9ff842,Coding Facial Expression with Oriented Steerable Filters,"Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. xushuang@bit.edu.cn" 72a3bb0fb490355a926c5a689e12268bff9ff842,Coding Facial Expression with Oriented Steerable Filters,"Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. jiayunde@bit.edu.cn" 72a3bb0fb490355a926c5a689e12268bff9ff842,Coding Facial Expression with Oriented Steerable Filters,"Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. zhangxiaoxun@bit.edu.cn" -7242738691c7cb7877dc364337cbf0394704e389,Semantic segmentation of urban scenes with enhanced spatial contexts,"Robotics Program, KAIST, Daejeon, 34141, Korea" -725bc4fd72070b58fb7e6819a1087e6cce16550c,Grouping Active Contour Fragments for Object Recognition,"Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), China" -725bc4fd72070b58fb7e6819a1087e6cce16550c,Grouping Active Contour Fragments for Object Recognition,"Graduate School of the Chinese Academy of Sciences, Beijing, China" 7251c5e33a47be2023a1fb3f9bb74fe8e413379f,3D Human Pose Tracking Priors using Geodesic Mixture Models,"Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Barcelona, Spain" -72f9116a04e584081635500e9f0789fa26e4d15f,Hierarchical Memory Modelling for Video Captioning,"National Laboratory of Pattern Recognition & University of Chinese Academy of Sciences, Beijing, China" -72f9116a04e584081635500e9f0789fa26e4d15f,Hierarchical Memory Modelling for Video Captioning,"National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China" 72d2859df6813fe37544ec2eb81a5255c0e2c4cc,Learning-Based Multiple-Path Prediction for Early Warning,"Denso IT Laboratory, Inc., Tokyo, Japan" -72e603083c8b1cfa09200eb333927e8ea848fbc8,Dirichlet-tree cascaded Hough forests for continuous head pose estimation,"Collaborative & Innovative Center for Educational Technology (CICET) Central China Normal University, Wuhan, China" 723b87aca073b7b82970a4580f64ba8c6c64691b,Improving Personalized Trip Recommendation by Avoiding Crowds,"University of Melbourne, Parkville, Australia" 7280000cba3a3279454890372668362d00cf3ab0,Domain adaptation of articulated pose estimation via synthetic pose prior,"NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan" 72a03f06fcbf6af92fb3002e2fd9d43e75fd113e,Quantitative evaluation of face detection and tracking algorithms for head pose estimation in mobile platforms,"Department of Computer Science and Engineering, University of Moratuwa, Sri Lanka" @@ -5776,59 +3446,42 @@ faff106a31c0eaa60511c7d9a8e4cd4c42374b34,MapReduce neural network framework for 72d7e11b30767f4f5993d794fc040328b23868b5,Deep neural network acceleration framework under hardware uncertainty,"Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA" 7205b67fb64aba0043b43d167243aed3af72aa6b,Age progression by gender-specific 3D aging model,"Department of Computer Science and Engineering, Sogang University, Seoul, Korea" 72dc0c1e033be838582ef8da6ae3d51b6375cebb,Multiple human tracking system for unpredictable trajectories,"VARPA Group, University of A Coruña, A Coruña, Spain" -72ffcc5b654b2468b9eff761279b29164f1df5d9,Design and realization of learning emotion database,"College of Applied Science and Technology, Hainan University, China" -72b3202cf98c28249bdcab6099c9d3f61cdc4552,A computational system approach to develop student's based emotion system: An alternative feedback tool for lecturers to enhance teaching and learning,"Faculty of Engineering and Information Technology, INTI International University, Nilai, Malaysia" 7212e033b37efa9c96ee51cb810c303249ab21e4,MLP neural network using modified constructive training algorithm: Application to face recognition,"Laboratoire d'InfoRmatique en Image et Systémes d'information Lyon Central School, University of Lyon, France: 69134 Ecully" -72b6e589217e54879982e1f559197a9408e03b34,Spatial Ensemble Kernel Learning for Scene Classification,"College of Computer and Electronic Information, Guangdong University of Petrochemical Technology, Maoming, China" 729d23a3a439927f1917cb93c9c20b5c426065b3,Health Information Science,"Victoria University, Melbourne, Australia" 72da7e3cf1136dd0c916f9e966937da0e26c64b6,Continuous biometric authentication using Possibilistic C-Means,"Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil" 2d5589ad3a228670eac7251b6508cb326793051c,A comparison of late fusion methods for object detection,"Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany" 2d5589ad3a228670eac7251b6508cb326793051c,A comparison of late fusion methods for object detection,"Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany" -2d45911a4f3cad91ef5374720b5ff90efd8bc3a9,Huber Collaborative Representation for Robust Face Identification,"Chengdu University, School of Information Science and Engineering, Chengdu, 610106, China" 2d45911a4f3cad91ef5374720b5ff90efd8bc3a9,Huber Collaborative Representation for Robust Face Identification,"Guangxi University, Electronics and Information, School of Computer" -2d3ad5b92b7514ec114102035322d3953e1fbbd8,Outlining Objects for Interactive Segmentation on Touch Devices,"CNRS - IRIT, Toulouse, France" -2dc5fc266610f799aab68c6b6c2fb70bca281a92,An UNet-Based Head Shoulder Segmentation Network,"College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China" 2dc5fc266610f799aab68c6b6c2fb70bca281a92,An UNet-Based Head Shoulder Segmentation Network,"Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan" 2dc5fc266610f799aab68c6b6c2fb70bca281a92,An UNet-Based Head Shoulder Segmentation Network,"Dept. of Information Communication Yuan-Ze University, Innovation Center for Big Data and Digital Convergence, Taiwan" 2d7ce5b7e86845ddc2ecc05c2095445df264bb48,A robust face recognition approach against variant illumination,"School of Communication and Electronic Engineering, Qingdao Technological University, Qingdao 266033 China" -2d7ce5b7e86845ddc2ecc05c2095445df264bb48,A robust face recognition approach against variant illumination,"SINOPEC Petroleum Exploration and Production Research Institute, Beijing 100083, China" -2d9e88db5887b7ee3501bd745f671d3acfc268ba,Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning,"Academy of Mathematics and Systems Science, Chinese Academy of Science, Institute of Applied Mathematics, Beijing, China" -2d87f4bf0606ce9939033b8f1fbc64b539eb18a6,Comparison of human and machine based facial expression classification,"Central Scientific Instruments Organization (CSIR-CSIO), Sector 30C, Chandigarh, India" 2de8508b33fe3ee290f94339a2f78f373e83b21d,Multi-Level Common Space Learning for Person Re-Identification,"Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA" 2def1c373a2f7842d0367cb48da87d777ab478b7,3D Face Image Registration for Face Matching Guided by the Surface Interpenetration Measure,"IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. olga@inf.ufpr.br" 2def1c373a2f7842d0367cb48da87d777ab478b7,3D Face Image Registration for Face Matching Guided by the Surface Interpenetration Measure,"IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. luciano@inf.ufpr.br" 2def1c373a2f7842d0367cb48da87d777ab478b7,3D Face Image Registration for Face Matching Guided by the Surface Interpenetration Measure,"IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. ccqs03@inf.ufpr.br" 2def1c373a2f7842d0367cb48da87d777ab478b7,3D Face Image Registration for Face Matching Guided by the Surface Interpenetration Measure,"IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. sidnei@inf.ufpr.br" 2def1c373a2f7842d0367cb48da87d777ab478b7,3D Face Image Registration for Face Matching Guided by the Surface Interpenetration Measure,"IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. mps04@inf.ufpr.br" -2d3af3ee03793f76fb8ff15e7d7515ff1e03f34c,New semantic descriptor construction for facial expression recognition based on axiomatic fuzzy set,"Dalian Key Laboratory of Digital Technology for National Culture, Dalian Minzu University, Dalian, China" 2df51d77de0cb69943ba491fc4726f9df3358512,A new technique for Face Recognition using 2D-Gabor Wavelet Transform with 2D-Hidden Markov Model approach,"Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, TN India" 2df51d77de0cb69943ba491fc4726f9df3358512,A new technique for Face Recognition using 2D-Gabor Wavelet Transform with 2D-Hidden Markov Model approach,"Department of Electronics & Communication Engineering, Jeppiaar Engineering College, Chennai, TN India" 2de33637fae84ca94d89b3b3d681670191c6281d,Robust face pseudo-sketch synthesis and recognition using morphological-arithmetic operations and HOG-PCA,"Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Malaysia" 2d331bdeaa0962eb210270ddb951525d47df9d6e,Gaze direction estimation from static images,"Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Gliwice, Poland" 2d1d105538961d9b301bda6248d6df55829751be,Context-dependent kernel design for object matching and recognition,"UMR 5141, CNRS, Telecom ParisTech, France" -2d1d105538961d9b301bda6248d6df55829751be,Context-dependent kernel design for object matching and recognition,"Certis Lab, ENPC ParisTech, France" -2d71b4c8689f295ace4c49f54984cebbe00ff4cf,Face recognition based on regression analysis using frequency features,"Institute of Nationality Cultural Information and Technology, Dalian Nationalities University, Dalian, Liaoning Province, China" 2d20ccac97cb11460097c10c90feebac3887f92d,A data association approach to detect and organize people in personal photo collections,"University of Palermo, Palermo, Italy" 2dde7c6740577b8326db4e606c0205f60fd19ee4,Efficient statistical face recognition across pose using Local Binary Patterns and Gabor wavelets,"Vesalis company, Parc Technologique de la Pardieu, 10 rue Evariste Galois, 63000 Clermont-Ferrand, France" 2dde7c6740577b8326db4e606c0205f60fd19ee4,Efficient statistical face recognition across pose using Local Binary Patterns and Gabor wavelets,"Gipsa-lab (Signal and Images Department), 961 rue de la Houille Blanche, BP 46 - 38402 Grenoble, France" 2d5c7b3dc5ce81500238fb7d1c9b6e4a1b86283f,A scalable architecture for multi-class visual object detection,"The Pennsylvania State University, USA" 2d5c7b3dc5ce81500238fb7d1c9b6e4a1b86283f,A scalable architecture for multi-class visual object detection,"Toshiba, Japan" 2d5c7b3dc5ce81500238fb7d1c9b6e4a1b86283f,A scalable architecture for multi-class visual object detection,"SiliconScapes LLC, USA" -2dba6a057b7e7d14fc6fee076ccf1d22506be54a,Learning Semantic Signatures for 3D Object Retrieval,"Media Laboratory, Huawei Technologies Co., Ltd, Shenzhen, China" 2d81cf3214281af85eb1d9d270a897d62302e88e,High density people estimation in video surveillance,"Faculty of Media Engineering & Technology, German University in Cairo, Egypt" 2d81cf3214281af85eb1d9d270a897d62302e88e,High density people estimation in video surveillance,AvidBeam -2d81cf3214281af85eb1d9d270a897d62302e88e,High density people estimation in video surveillance,"Faculty of Media Engineering and Technology, German University in Cairo, Egypt" 2d81cf3214281af85eb1d9d270a897d62302e88e,High density people estimation in video surveillance,"Faculty of Media Engineering & Technology German University in Cairo, Egypt" 2da2ae720ea37fffe7247b9cf977fa86b04f97f4,Web Multimedia Object Classification Using Cross-Domain Correlation Knowledge,"Capital University of Economics and Business, Beijing, P.R. China" 2dab5bddd86b0c1d8dc201c5860b3d5832da87a4,Interactive Reception Desk with Face Recognition-Based Access Control,"VISIONe lab, University/Industry joint laboratory, via Cjavecis 3, 33100, Udine, Italy" 2dab5bddd86b0c1d8dc201c5860b3d5832da87a4,Interactive Reception Desk with Face Recognition-Based Access Control,"University of Udine, Department of Mathematics and Computer Science, Via delle Scienze 206, 33100 Udine, Italy" 2dd409b2eff010631c1e6f3d92b873292064afa7,Feature selection for facial emotion recognition based on genetic algorithm,"Department of Electronic and Computer Science Engineering, Pusan National University, Busan, Republic of Korea" 2d3f1e0f163f7b031539ba403b5f94fa0bdf2a59,Multi-modal biometrics for mobile authentication,"IBM Research - Haifa, Israel" -2d3f1e0f163f7b031539ba403b5f94fa0bdf2a59,Multi-modal biometrics for mobile authentication,"IBM Research China, China" 2d3f1e0f163f7b031539ba403b5f94fa0bdf2a59,Multi-modal biometrics for mobile authentication,"IBM T.J. Watson Research Center, USA" 2d03f0ae5920e6ea91b47b711ed0e8ece65e19dd,"Multi-biometrics using facial appearance, shape and temperature","Dept. of Comput. Sci. & Eng., Notre Dame Univ., USA" -2d925cddb4a42d235b637e4888e24ba876b09e4a,An over-complete sparse representation approach for face recognition under partial occlusion,"School of Information Engineering, Wuyi University, Jiangmen Guangdong, China 529020" -2dafea864f74a477414c3b71b742f7997e216102,Energy-Aware Mobile Edge Computing and Routing for Low-Latency Visual Data Processing,"University of Missouri-Columbia, USA" 63dd47f7ccf4bb22c1e308b263ec65ae382c86ce,Multiple target tracking and stationary object detection in video with Recursive-RANSAC and tracker-sensor feedback,"Mechanical Engineering Department at Brigham Young University, USA" 63dd47f7ccf4bb22c1e308b263ec65ae382c86ce,Multiple target tracking and stationary object detection in video with Recursive-RANSAC and tracker-sensor feedback,"Electrical and Computer Engineering Department at Brigham Young University, USA" 6370a7f8752ddff07c30f327a71d3fb5f856daf6,Damage Assessment from Social Media Imagery Data During Disasters,"Qatar Computing Research Institute, HBKU, Doha, Qatar" @@ -5836,83 +3489,49 @@ faff106a31c0eaa60511c7d9a8e4cd4c42374b34,MapReduce neural network framework for 639aaf68a0dee9bdd2b65b582a42a79ffa5e4875,Statistical and geometrical features for LiDAR-based vehicle detection,"Department of Electrical Engineering, University of Ulsan, 93 Daehak road, Nam-gu, Ulsan 680-749, Korea" 6339e9385ae3609cb22f6b87175c7e6850f2c05b,Estimating the spatial extents of geospatial objects using hierarchical models,"Electrical Engineering & Computer Science, University of California at Merced, USA" 63d9b7d4b8044e0559631d4a991e6c2dffc87e4c,Off-line memory reprocessing following on-line unsupervised learning strongly improves recognition performance in a hierarchical visual memory,"Department of Theoretical Neuroscience, Frankfurt Institute for Advanced Studies, Goethe University Frankfurt, Ruth-Moufang-Str. 1, 60438, Germany" -63f2d1a64737afa1608588b9651b1e4207e82d1c,Detecting self-stimulatory behaviours for autism diagnosis,"Vision & Sensing Group, HCC Lab, ESTeM University of Canberra, Australia" 637b31157386efbde61505365c0720545248fbae,Deep learning with time-frequency representation for pulse estimation from facial videos,"Utechzone Co. Ltd., New Taipei City, Taiwan 235" 63fd7a159e58add133b9c71c4b1b37b899dd646f,Exemplar-Based Human Action Pose Correction,"Department of Cognitive Science, University of California, San Diego, CA, USA" 638e0d6f9f5d714d8a0edcf65297e8735b30db71,Fusion of features for the effective facial expression recognition,"Computer Science Department, Central University of South Bihar" 636b8ffc09b1b23ff714ac8350bb35635e49fa3c,Pruning training sets for learning of object categories,"Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA" -6342c679becb63aed72a9c7cc2cf3b217adcacee,Deep-learning-based object-level contour detection with CCG and CRF optimization,"Institute of Computer Science and Technology, Beijing, China" 6342c679becb63aed72a9c7cc2cf3b217adcacee,Deep-learning-based object-level contour detection with CCG and CRF optimization,"Department of Computer and Information Sciences, University of Alabama at Birmingham, USA" -63a4105adbe182e67d8fd324de5c84a6df444294,Gender classification by LPQ features from intensity and Monogenic images,"Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong" 63db4ce22fe80ed50665da89bbb695d7ed448782,Learning with constrained and unlabelled data,"Inst. of Computational Sci., ETH Zurich, Switzerland" 63470476067035a47bc14c217a5a458d2c299f04,On the use of fingernail images as transient biometric identifiers,"Birmingham City University, Birmingham, UK" -635804db97b8251c54674ade12f3de494d9aa6d1,Efficient image representation for object recognition via pivots selection,"Key Lab of Machine Learning and Computational Intelligence, College of Mathematics and Computer Science, Hebei University, Baoding, China" -638afad8ab360d3afdfeec4acad02b4406714e38,Survey on semantic image segmentation techniques,"U&P U. Patel Department of Computer Engineering, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India" -638afad8ab360d3afdfeec4acad02b4406714e38,Survey on semantic image segmentation techniques,"Department of Information Technology, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India" 6365b0e06709cebaf436546820176f4bf68689f7,Tag Tagging: Towards More Descriptive Keywords of Image Content,"Media Computing Group, Microsoft Research Asia, Beijing" 6365b0e06709cebaf436546820176f4bf68689f7,Tag Tagging: Towards More Descriptive Keywords of Image Content,"Microsoft Advanced Technology Center, Beijing" 63148c203340013ea70d32337a869cc7f10df023,Group structured dirty dictionary learning for classification,Electrical and Computer Engineering Johns Hopkins University 63148c203340013ea70d32337a869cc7f10df023,Group structured dirty dictionary learning for classification,Electrical Engineering Pennsylvania State University 63d64d07966d4d128581246a891ff1d3dd3a2a96,Learning face similarity for re-identification from real surveillance video: A deep metric solution,Universidad Catolica de Chile -635f5b04ba0f6db2ea8b6c18c641fd22c75245db,Similarity preserving analysis based on sparse representation for image feature extraction and classification,"School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China" 6345c0062885b82ccb760c738a9ab7fdce8cd577,Pain detection from facial images using unsupervised feature learning approach,"Integrated Circuits and Electronics Laboratory, Department of Engineering, Aarhus University, Denmark" -9ba8dadb888433f6e4b47ea2b7ec7b0c9f8eeb0c,Component-based face detection method for various types of occluded faces,"Multi Media laboratory, Toshiba Corporation, 1, Komukai-Toshiba-cho Saiwai-Ku, Kawasaki, Kanagawa Japan" 9ba8dadb888433f6e4b47ea2b7ec7b0c9f8eeb0c,Component-based face detection method for various types of occluded faces,"Toshiba Corporation, Principal Office, Technology Planning Division, 1-1, Shibaura 1-Chome, Minato-ku, Tokyo 105-8001, Japan" -9b93626cc87411964712d05905c2dd0a1247d16d,Multiple instance-based object retrieval in video surveillance: Dataset and evaluation,"LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061071, Romania" 9bf0db2da5fcf245d353350f69c8eed8a63eaaeb,Robust Online Multiobject Tracking With Data Association and Track Management,"School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Korea" 9b762be133142412ffc08da9ed5d13cfcdb803d1,From anxiety to autism: spectrum of abnormal social behaviors modeled by progressive disruption of inhibitory neuronal function in the basolateral amygdala in Wistar rats,"Department of Psychiatry, Indiana University School of Medicine, Indianapolis, USA" 9b2553d375c27d3b5c5a91ea4f0fc0e083ca8d77,Transferring visual knowledge for a robust road environment perception in intelligent vehicles,"Australian Centre for Field Robotics (ACFR) at the University of Sydney (NSW, Australia)" 9b2553d375c27d3b5c5a91ea4f0fc0e083ca8d77,Transferring visual knowledge for a robust road environment perception in intelligent vehicles,"Department of Electronics at the University of Alcalá (Madrid, Spain)" -9becfc370f4dad9f2e57b1a0fe3a60d177c1b2ea,A new face recognition system based on color histogram matching,"Elektrik ve Elektronik Mühendisli¿i Bölümü, Do¿u Akdeniz Üniversitesi, Gazima¿usa, KKTC, Turkey" -9bea77f4bf5eaf47f195abea115950cda7372419,Learning appearance models for road detection,NICTA 9bc9524aa6f3742bc811f294591a60d90ee62712,Monocular 3D scene understanding with explicit occlusion reasoning,"MPI Informatics Saarbrücken, Germany" 9bc9524aa6f3742bc811f294591a60d90ee62712,Monocular 3D scene understanding with explicit occlusion reasoning,"Department of Computer Science TU Darmstadt, Germany" 9bdb40f15d56975436d9223da4e9ef5416591a52,Integration of eye detection and tracking in videoconference sequences using temporal consistency and geometrical constraints,"Federal University of Rio de Janeiro, Cx.P. 68504, CEP 21945-970, Brazil" 9bdb40f15d56975436d9223da4e9ef5416591a52,Integration of eye detection and tracking in videoconference sequences using temporal consistency and geometrical constraints,"Hewlett-Packard Laboratories, 1501 Page Mill Road, MS 1203, Palo Alto, CA 94304, USA" -9b2b7e1153638286305c12dee2aba8d3bbd22a1d,Image Purification Networks: Real-time Style Transfer with Semantics through Feed-forward Synthesis,"Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China" -9b42fb48d5ac70b6ca5382f50e71ed8bf3a84710,Robust dynamic facial expressions recognition using Lbp-Top descriptors and Bag-of-Words classification model,"Itseez Incorporated, Nizhny Novgorod, Russia" 9b477dde9aabadba1ad2f2f180e755f31af904aa,Parameter estimation and contextual adaptation for a multi-object tracking CRF model,"École Polytechnique Fédérale de Lausanne - CH-1015, Lausanne, Switzerland" 9b43897c551b134852bda113355f340e605ad4e7,Cross-database evaluation for facial expression recognition,"Intelligent Autonomous Systems Group, Technische Universität München, Garching, Germany" -9b5b7bba820466131955830fed812d25142776f6,Building interactive experiences block by block,"Universidade NOVA de Lisboa, Caparica, Portugal" -9b4b2a575641f3a7f8a5ce28b6a06c36694a9ddf,A lighting robust fitting approach of 3D morphable model for face reconstruction,"Insititute of Automation, Chinese Academy of Sciences (CAS), Beijing, China" -9b0c311c32524d8a0bb6dbe2a96b7a7b2fe2dd21,Combined AdaBoost and gradientfaces for face detection under illumination problems,"Center of Informatics, Federal University of Pernambuco, Recife, Brazil" 9ba138e1a2f477e8256b38964a699a7ab182f221,Classification of human poses and orientations with deep learning,"Turkcell İletişim Hizmetleri A.Ş., Ankara, Türkiye" -b3ad7bc128b77d9254aa38c5e1ead7fa10b07d29,Recognizing Actions in Wearable-Camera Videos by Training Classifiers on Fixed-Camera Videos,"Tianjin University & University of South Carolina, Tianjin, China" b36e945243d56fe25ba83821cb56aabb6bf92979,Detecting walking pedestrians from leg motion in driving video,"Department of Computer Science, Indiana University-Purdue University Indianapolis, 46202, USA" -b36e945243d56fe25ba83821cb56aabb6bf92979,Detecting walking pedestrians from leg motion in driving video,"Transportation Active Safety Institute (TASI), Indiana University-Purdue University Indianapolis, 46202 USA" b355996fd36ea6055e45dd65c1c9422be4fef966,A face recognition attendance system with GSM notification,"Department of Electrical and Information Engineering, Covenant University, Ota Ogun State, Nigeria" b355996fd36ea6055e45dd65c1c9422be4fef966,A face recognition attendance system with GSM notification,"Department of Mechanical Engineering, Covenant University, Ota Ogun State, Nigeria" -b3f07763288c67d9f08b4a2180e06c0468856629,GREYC keystroke: A benchmark for keystroke dynamics biometric systems,"GREYC Laboratory, ENSICAEN - Université de Caen, Basse-Normandie - CNRS" -b3add9bc9e70b6b28ba31e843e9155e7c37f3958,Parallel Heat Kernel Volume Based Local Binary Pattern on Multi-Orientation Planes for Face Representation,"College of Information and Technology, Incheon National University, Incheon, Korea" -b38e915dc7a8531ca6f11a9e0c133a5cafe1d532,Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness,"MIRACL Laboratory, Higher Institute of Management Gabes, Sfax university - Gabes university, Tunisia" -b38e915dc7a8531ca6f11a9e0c133a5cafe1d532,Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness,"MIRACL Laboratory, College of Computers and Information Technology, Taif University, KSA" -b3f96035651100b361e8c6d13e1f2022b406e196,From Images to Shape Models for Object Detection,"ETH Zurich, Zurich, Switzerland" b3f96035651100b361e8c6d13e1f2022b406e196,From Images to Shape Models for Object Detection,"INRIA Grenoble, Grenoble, France" -b33bbdac96c3540ebb07c3655643e6badc368c59,MultiMedia Modeling,"Shanghai Jitotong University, Shanghai, China" b30f9116df47ba70a71e04ba8722a13f87719599,A spatio-temporal covariance descriptor for person re-identification,"LM2S Research Unit, Charles Delaunay Institute, University of Technology of Troyes, France" b3e60bb5627312b72c99c5ef18aa41bcc1d21aea,Class specific dictionary learning for face recognition,"School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA" b3b97439c33063c9c45c305b67dd8f6066052096,Multi-modal identification and tracking of vehicles in partially observed environments,"Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany" -b3b97439c33063c9c45c305b67dd8f6066052096,Multi-modal identification and tracking of vehicles in partially observed environments,"Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany" -b3b97439c33063c9c45c305b67dd8f6066052096,Multi-modal identification and tracking of vehicles in partially observed environments,"Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany" b35464a8609a257b0b43b1a0faee0402a054f1be,Towards the evaluation of reproducible robustness in tracking-by-detection,"Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, 41121 MO, Italy" b416921155c1687ca07beb23f167e5ac267c5616,Vehicle Re-Identification by Deep Feature Fusion Based on Joint Bayesian Criterion,"Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, 100081, P.R. China" b46538db32a8954a087214370586551ac12632d5,Attribute-based learning for large scale object classification,"The Faculty of ICT-Mahidol University, Thailand" b48d3694a8342b6efc18c9c9124c62406e6bf3b3,Recurrent Convolutional Shape Regression,"Snap Research, Venice, CA, United States" -b4b9ec699c873cfbb16647966b230b522bc0113e,DTRP: A Flexible Deep Framework for Travel Route Planning,"China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China" -b4b278ab7f37839343be4f77b45bc401eadd257c,Performance of haar and LBP features in cascade classifiers to whiteflies detection and counting,"Departamento Acadêmico, Federal Institute of Goiás (IFG), Senador Canedo, Brazil" -b4b278ab7f37839343be4f77b45bc401eadd257c,Performance of haar and LBP features in cascade classifiers to whiteflies detection and counting,"Experimental and Technological Research Group - NExT/IFG, Federal Institute of Goiás, Goiânia, Brazil" b4b278ab7f37839343be4f77b45bc401eadd257c,Performance of haar and LBP features in cascade classifiers to whiteflies detection and counting,"Departamento de Automação, Goiano Federal Institute (IFGoiano), Trindade, Brazil" -b472f91390781611d4e197564b0016d9643a5518,Facial expression recognition using geometric and appearance features,"Central China Normal University, Wuhan, China" -b472f91390781611d4e197564b0016d9643a5518,Facial expression recognition using geometric and appearance features,"China University of Geosciences Wuhan, China" b401854f6ad4a0a01aa273342f6c40e6caaa8552,Unsupervised Feature Selection on Data Streams,"Computational Science Center, Brookhaven National Laboratory, Upton, NY, USA" b45bb3876a7f980490e0b78ed70064d276b13761,Goal-oriented visual tracking of pedestrians with motion priors in semi-crowded scenes,"Deparment of Computer Science, Centro de Investigación en Matemáticas, 36240 Guanajuato, México" b4e6c5942ed495c3158ef4bede9b53690b20d0a4,Eigenspace-based face recognition: a comparative study of different approaches,"Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile" b4a2ab88955b9b23db59bcd1b7b8488b2d4ecb8a,An efficient multimodal face recognition method robust to pose variation,"Dept. Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran" b498990a90a2b60802f9532fdf88f23caed7e864,Multiple person tracking using omnidirectional cameras,"Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi" b4c3743b10fffd2d44465f29a78c136e623295ff,Adaptive Weighted Sparse Principal Component Analysis,"Streaming Lab, Shen Zhen Instituted of Information Technology" -b4646d7d46a4532281f404d6bd05cd280b4a90c0,Learning effective image metrics from few pairwise examples,"Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan" -b449a9362a8dc7b8b1bdaa032a73577e2720ccb0,Action Recognition Using Multiple Pooling Strategies of CNN Features,"School of Electronic and Information Engineering, Sun Yat-sen Univercity, Guangzhou, China" -b41d585246360646c677a8238ec35e8605b083b0,Student engagement study based on multi-cue detection and recognition in an intelligent learning environment,"Faculty of Information Engineering, China University of Geosciences, Wuhan, China" b4df58f1fd8a3bd0815e7fb957f7f07fddd77338,Rethinking the sGLOH Descriptor,"Department of Information Engineering, Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy" bacd919cc95351f3766e8dfe0988e71fe2d0b8dc,Real-time pedestrian detection and pose classification on a GPU,"ENSTA ParisTech, UIIS division, 858 Blvd des Maréchaux, 91762 Palaiseau, France" bacd919cc95351f3766e8dfe0988e71fe2d0b8dc,Real-time pedestrian detection and pose classification on a GPU,"Honda Research Institute USA, Inc., 400 National Ave, Mountain View, CA 94043, USA" @@ -5920,142 +3539,82 @@ ba502e59fb58310a3e8f8889f02ed9e782e27c75,Facial emotional classification: from a ba502e59fb58310a3e8f8889f02ed9e782e27c75,Facial emotional classification: from a discrete perspective to a continuous emotional space,"Computer Science and Systems Engineering Department, Engineering Research Institute of Aragon (I3A), University of Zaragoza, Zaragoza, Spain" ba004e5789bdc565734727ce22820dca77d6407c,Video target tracking based on fusion state estimation,"Department of Electrical and Computer Engineering, The University of Auckland, New Zealand" bab2f4949a38a712a78aafbc0a3c392227c65f56,Eye detection using gradient histogram matching for cornea localization in refractive eye surgery,"Dept. of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan" -ba80a5a7848ebe39fc96bb2a5959c4daf81d3ffc,Security using image processing and deep convolutional neural networks,"Cisco Systems Inc., Bengaluru, India" -ba80a5a7848ebe39fc96bb2a5959c4daf81d3ffc,Security using image processing and deep convolutional neural networks,"Walmart Labs, Bengaluru, India" bae5a70807de5ed4975cb5231437771544465b7d,Sparsity based face modelling and detection with small sample problem,"Department of Electrical Engineering Indian Institute of Technology Kanpur, India - 208016" -bad15b4dea2399d57ee17f33a5ba8f04b012ef63,Lip tracking under varying expressions utilizing domain knowledge,"Indian Statistical Institute, Kolkata 700108, India" ba7892fc2f7bb5851cff243257da0da0f2d5bc05,Iterative Category Discovery via Multiple Kernel Metric Learning,"SET Media Inc, San Francisco, USA" -ba7892fc2f7bb5851cff243257da0da0f2d5bc05,Iterative Category Discovery via Multiple Kernel Metric Learning,"University of California, San Diego, La Jolla, USA" -baf2607f15aab164289e1d4b4097813a65cd118e,Visual target tracking via weighted non-sparse representation and online metric learning,"Neusoft Corporation, Shenyang 110179, China" -ba84a1f07df13a46c2c3af12b9d9dc33f09dc107,Classifier fusion for robust ICAO compliant face analysis,"Siemens Biometrics Center, Siemens IT Solutions and Services, Strassgangerstrasse 315, 8054 Graz, Austria" -bad206bfdbca3657c08868cd990cc95eb61a0c5a,CNN-based gender classification in near-infrared periocular images,"Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India" baad4e7ab0942a6b93ee2df39685f928efdae006,Facial expression classification by temporal template features,"School of Information Science, Japan Advanced Instititue of Science and Technology, Ishikawa, Japan" ba1c3dd512fd1fbd7325d63aad435ff07196755e,Seed-based authentication,"School of Computer Science and Information Systems, Pace University, New York, USA" ba1c3dd512fd1fbd7325d63aad435ff07196755e,Seed-based authentication,"School of Computer Science and Information System, Pace University, New York USA" -baf420613e00a42c1f5215085f74c4e69782e7ae,DLBP: A novel descriptor for depth image based face recognition,"LIFL UMR Lille 1-CNRS n 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d'Ascq, France" -ba6769c165967c8dcb11fe5e0be2153ddbe99c7e,Deep learning for gender recognition,"Shenzhen Sunwin Intelligent Corporation, Shenzhen, China" baac597e78beadc5d38a8ee5783faa3d658b6649,A Reliable People Counting System via Multiple Cameras,Beijing University of Posts and Telecommunications/The University of Western Ontario -ba69d464bc360f94303ffc9f710009d16a5673a0,Framework for an embedded emotion assessment system for space science applications,"Institute of Space Science, Bucharest, ISS, Romania" -ba69d464bc360f94303ffc9f710009d16a5673a0,Framework for an embedded emotion assessment system for space science applications,"Department of Electronic Devices, Circuits, and Architectures, Faculty of Electronics, Telecommunication and Information Technology, University “Politehnica” of Bucharest, Romania" ba83b28ac5ce92ef8437fdd499132823f487ff83,Interface Framework to Drive an Intelligent Wheelchair Using Facial Expressions,"LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. pmf@fe.up.pt" ba83b28ac5ce92ef8437fdd499132823f487ff83,Interface Framework to Drive an Intelligent Wheelchair Using Facial Expressions,"LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. rbraga@pucrs.br" ba83b28ac5ce92ef8437fdd499132823f487ff83,Interface Framework to Drive an Intelligent Wheelchair Using Facial Expressions,"LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. eduardo.valgode@gmail.com" ba83b28ac5ce92ef8437fdd499132823f487ff83,Interface Framework to Drive an Intelligent Wheelchair Using Facial Expressions,"LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. lpreis@fe.up.pt" baafe3253702955c6904f0b233e661b47aa067e1,Submodular Attribute Selection for Visual Recognition,"Raytheon BBN Technologies, 10 Moulton St, Cambridge, MA" ba153c968a142d90f6286e69a5f8bdf7eb9331ef,Color exploitation in hog-based traffic sign detection,"CycloMedia BV, P.O. Box 68, 4180 BB, Eindhoven, NL" -ba153c968a142d90f6286e69a5f8bdf7eb9331ef,Color exploitation in hog-based traffic sign detection,"ViNotion BV, P.O. Box 2346, 5600 CH, Eindhoven, NL" -ba4e88481e2f211d22254c7d0563d3779b584cb3,Local spatiotemporal descriptors for visual recognition of spoken phrases,"University of Oulu: Finland, Oulu, Finland" ba3d99ecf95445734c4f98e6d2b61fc98d31f21f,Combining Local Binary Pattern and Principal Component Analysis on T-Zone face area for face recognition,"School of Computer Science, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia" ba3d99ecf95445734c4f98e6d2b61fc98d31f21f,Combining Local Binary Pattern and Principal Component Analysis on T-Zone face area for face recognition,"Department of Computer Science University Malaysia Terengganu, Terengganu, Malaysia" ba7636bdc1f090d0d252dfc99115b6f86c2b4ce9,A 3D vision system for detecting use of mobile phones while driving,USP - University of Sáo Paulo / ICM CLRM - Mobile Robots Lab -ba9cc1577393afcf8b6b34423535ce71e4eab2fd,Intelligent Portrait Composition Assistance: Integrating Deep-learned Models and Photography Idea Retrieval,"Pennsylvania State University, University Park, PA, USA" a4bb791b135bdc721c8fcc5bdef612ca654d7377,Location-sensitive sparse representation of deep normal patterns for expression-robust 3D face recognition,"Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, 69134, France" -a4af26ad72298409e987128b9b130ca0e428baf3,A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction,"Key Laboratory of Trusted Cloud Computing and Big Data Analysis, Nanjing Xiaozhuang University, Nanjing, China" -a4eddbaf04256aa35f8a72723ae8f3be9279b282,Neural Information Processing,"King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia" a4b5c5a1a29d5d609d44bc9c29df0d96a30cb68c,Histograms of fuzzy oriented gradients for face recognition,Computer Science Department Université de Moncton Moncton NB Canada E1A 3A9 a4b5c5a1a29d5d609d44bc9c29df0d96a30cb68c,Histograms of fuzzy oriented gradients for face recognition,Institute for Information technology National research Council of Canada Moncton NB Canada E1A 7R1 -a49018f1f04d6d64c763ac73f21890df8983e641,An artistic portrait caricature model,"Group of Research in Images Synthesis, Intelligence Artificial Laboratory, University Paris 8,  " -a46edfb0d5374fae7633b56ab767e26cc8ea25ac,Deep Multi-Metric Learning for Person Re-Identification,"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China" a4e1a95c32e9477aa1b09073a1fd3ca129aacadc,Driver Identification System Using Convolutional Neural Network with Background Removal-based Infrared Data Augmentation,"The Electronic Engineering Department, Sogang University, Seoul, Korea" -a4ae4baa1065e6c0596f07e40e07d3148431e353,Binary face image recognition using logistic regression and neural network,"National Institute of Electronics and Information Technology, Aizawl Aizawl, Mizoram, India" -a4ae4baa1065e6c0596f07e40e07d3148431e353,Binary face image recognition using logistic regression and neural network,"Centre for Development of Advance Computing IIPC-Building, NIT Silchar Campus Silchar, India" a41c607603b1191d3bf95366b2e3e2eed8d9b0a3,A novel text mining algorithm based on deep neural network,"Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, 415 Fengyang Road, Shanghai, P.R. China" a41c607603b1191d3bf95366b2e3e2eed8d9b0a3,A novel text mining algorithm based on deep neural network,"The 3rd Research Institute of Ministry of Public Security, Yueyang Road, Shanghai, P.R. China" -a432ee5977443b5c29001f4bd10c6303cc364d4d,Polysemious visual representation based on feature aggregation for large scale image applications,"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology(ICT), Beijing, China" a43c7b7f702c52022549a3533b5a487a1bfa3812,CMAC-based Computational Model of Affects (CCMA) for profiling emotion from EEG signals,"Kulliyyah of Information & Communication Technology International Islamic University Malaysia Kuala Lumpur, Malaysia" a495476cfae277b91402b1bf6c5a2207d3ae00da,Lookup table partial reconfiguration for an evolvable hardware classifier system,"Department of Computer Science, University of Paderborn, Pohlweg 47-49, 33098 Paderborn, Germany" -a4cf949a3f6b7b094983acbd6a042766e09e8a2f,Action spotting exploiting the frequency domain,"Faculty of Computing, Information Systems and Mathematics, Kingston University London, Kingston upon Thames, Surrey KT1 2EE" a4e75766ef93b43608c463c233b8646439ce2415,Automatic real-time FACS-coder to anonymise drivers in eye tracker videos,"Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden" -a448aeed546a13cad7977dd0e8139f0ee43baed0,Learning to identify new objects,"ISTC-Pervasive Computing Intel Labs, Seattle, WA 98115, USA" -a49687fa1d90825e29c9a6824ad419f86d327d04,Fast pixel-box for pedestrian detection,"School of Information Science and Technology, NorthWest University Xi'an, China" a4725a5b43e7c36d9e30028dff66958f892254a0,Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion,"Technische Universität München / Imperial College London, Munich / London, England UK" a45ec977363157d40f4c57b8c98d7aa15ec6fd7a,Online incremental attribute-based zero-shot learning,"Department of Computer Engineering, Chiang Mai University" -a289de92de2503b632efd7acc13080ab026986b7,Fine-grained object recognition in underwater visual data,"Aix-Marseille Université, Marseille, France" a289de92de2503b632efd7acc13080ab026986b7,Fine-grained object recognition in underwater visual data,"Université de Toulon, La Garde, France" -a289de92de2503b632efd7acc13080ab026986b7,Fine-grained object recognition in underwater visual data,"Institut Universitaire de France (IUF), Paris, France" -a289de92de2503b632efd7acc13080ab026986b7,Fine-grained object recognition in underwater visual data,"I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France" -a23f55dacd3b2f3e61d6a30da49c307ed0102807,Unsupervised person re-identification via re-ranking enhanced sample-specific metric learning,"School of Electronics, Electrical and Communication Engineering University of Chinese Academy of Sciences, Beijing, China" a22f27857692fc4d78c7f0b0126676a4c0ec3985,Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning,"THALES Services - 91767 Palaiseau, France" a22f27857692fc4d78c7f0b0126676a4c0ec3985,Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning,"Sorbonne University, UPMC University, Paris 06, UMR 7606, LIP6 - 75005, France" a22f27857692fc4d78c7f0b0126676a4c0ec3985,Absolute geo-localization thanks to Hidden Markov Model and exemplar-based metric learning,"French Aerospace Lab, ONERA - 91123 Palaiseau, France" a20922597ebe3706598220009311161179de4a09,An Unbiased Temporal Representation for Video-Based Person Re-Identification,"Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, 92521, USA" -a21b0a67b4bcc4c86482294eade38f6e868497de,Pedestrian Movement Direction Recognition Using Convolutional Neural Networks,"University of Alicante, Alicante, Spain" a221588fd2d062462254481cfd9563fec2f7c387,Deep neural network ensemble architecture for eye movements classification,"Department of Industrial Engineering and Management, Faculty of Technical Sciences, Novi Sad, Serbia" -a289f5c7c1273c2402bbed8b3f9ed9b4b6e29777,A comprehensive 3D facial expression database and its elastic registration,"Elektrik ve Elektronik Mühendisli¿i Bölümü Bo¿aziçi Üniversitesi, Turkey" -a231fdbd9065ec7ca76484816bf64a6748426b42,Low-light pedestrian detection from RGB images using multi-modal knowledge distillation,"Harman International Industries, India" a2a8f6bf8f8cbc170fc8b4ac0fd4e7ec792a9b8d,Mitigating replay attacks using Darwinian-based Feature Extraction,"Center for Advanced Studies in Identity Sciences, North Carolina A&T State University, Greensboro, USA" a23dbce36d200ef0c65ec29bbffea5b960361f3b,Pixel-wise neural cell instance segmentation,"Astellas Research Institute of America, IL, USA" a24709b9b2ce01a6cf3e4b8d603533d66f411916,Confidence assessment on eyelid and eyebrow expression recognition,"Computer Vision Center, Campus UAB, O-08193, Barcelona, Spain" -a24709b9b2ce01a6cf3e4b8d603533d66f411916,Confidence assessment on eyelid and eyebrow expression recognition,"Institut de Robòtica i Informàtica Industrial, C. Llorens i Artigas 4-6, 08028, Barcelona, Spain" -a25fb4cf0a360bb4962da16d0f1c2e3bf570a183,Weber Local Descriptor based object recognition,"ECE, Mepco Schlenk Engineering College, Sivakasi, India" -a25fb4cf0a360bb4962da16d0f1c2e3bf570a183,Weber Local Descriptor based object recognition,"Department:ECE, Mepco Schlenk Engineering College, Sivakasi, India" -a25fb4cf0a360bb4962da16d0f1c2e3bf570a183,Weber Local Descriptor based object recognition,"Mepco Schlenk Engineering College, Sivakasi, India" a243f1c24e759e3f22dc0c1b2762bf0a9a2bef13,Non-rigid registration using free-form deformations for recognition of facial actions and their temporal dynamics,"Imperial College London / University of Twente, SW7 2AZ, UK / Enschede, 7500 AE, NL, UK" a2ee76eef0ee147f96e40a6846d178128fec68a3,Social visual engagement in infants and toddlers with autism: Early developmental transitions and a model of pathogenesis,"Marcus Autism Center, Children's Healthcare of Atlanta & Emory University School of Medicine, 1920 Briarcliff Rd NE, Atlanta, GA 30329, United States" a2c61a7c5292af2e2b4e42f257ac65113decd42d,Image Visual Realism: From Human Perception to Machine Computation,"Department of Psychology, Southern Utah University, Cedar City, UT" a25ba58eb02ca6d19dfcea11da98ef01cc53ea9e,Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation,"Xi’an Jiaotong University, Xi’an, People’s Republic of China" -a25ba58eb02ca6d19dfcea11da98ef01cc53ea9e,Learning Dictionary of Discriminative Part Detectors for Image Categorization and Cosegmentation,"École Normale Supérieure / PSL Research University, Paris, France" a25cb1b45b0415bae92d7ee5a384010968b8a657,Boosting colored local features for generic object recognition,"Chair of Computer Vision, Institute of Computer Science, Friedrich-Schiller-University, Jena, Germany" a26379d9993073d51611588c36f12db2b4ecb39a,Improving the performance of MPCA+MDA for face recognition,"Biomedical Engineering and Medical Physics Shahid Beheshti University, Tehran, Iran" a2afcabf3b3f4bbbb84c972bdf10f061350334db,Convolutional Neural Network based face detection,"Institute of Engineering & Management, Kolkata" ff2b0f2c01a4a98e18909a8bd4dab2e12e29b68b,Minimal filtered channel features for pedestrian detection,"Yamaha Motor Co., Ltd., Japan" ffcd7ea65af89d1e1bcf004f39b642932b081255,Vehicle positioning in the absence of GNSS signals: Potential of visual-inertial odometry,"Dept. of Infrastructure Engineering, The University of Melbourne, Parkville 3010, Australia" ff402bd06c9c4e94aa47ad80ccc4455efa869af3,ICA filters for lighting invariant face recognition,"Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada" -ff27935acd65177a7a1ba5f228171601e8987127,Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning,"Beijing, Haidian, China" fff31548617f208cd5ae5c32917afd48abc4ff6a,Mobile situated analytics of ego-centric network data,FX Palo Alto Laboratory ffa4d1ce1751f449f2d9829a5712c3641cc9c5e9,Fast and efficient integration of human upper-body detection and orientation estimation in RGB-D video,China Key System & Integrated Circuit Co. Ltd ff65a723ff70e92b543548288ed7f77a8b0a8f6e,Detection of abnormal behavior in narrow scene with perspective distortion,"Shenzhen Polytechnic, Shenzhen, P. R. China" -ff249ee2d69f14fc130fe8433732e9733ef066c6,Efficient eye location using the Accuracy-Weighted Principal Component Analysis,"Department of Telecommunication Engineering, Beijing Information Science and Technology University, Beijing, China 100101" -ff946df1cea6c107b2c336419c34ea69cc3ddbc4,"EGA — Ethnicity, gender and age, a pre-annotated face database","Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy" ff27963c5bce8f46ca4adc5bee209f35dfd69633,Automated skin region quality assessment for texture-based biometrics,"School of Engineering and Digital Arts, University of Kent Canterbury, Kent, United Kingdom" -ff9e042cccbed7e350a25b7d806cd17fb79dfdf9,Band-pass correlation filter for illumination- and noise-tolerant face recognition,"Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, India" -ff9e042cccbed7e350a25b7d806cd17fb79dfdf9,Band-pass correlation filter for illumination- and noise-tolerant face recognition,"Department of Applied Optics and Photonics, University of Calcutta, Kolkata, India" ff8d115b73a301cb31d58c8621ea22e1749e570e,Novel descriptors for geometrical 3D face analysis,"Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy" -ff82825a04a654ca70e6d460c8d88080ee4a7fcc,"Face Recognition in Surveillance Conditions with Bag-of-words, using Unsupervised Domain Adaptation","Dept. of CS&E, IIT Madras, India" ff8db3810f927506f3aa594d66d5e8658f3cf4d5,Visual Descriptors in Methods for Video Hyperlinking,"Charles University, Prague, Czech Rep" ff8db3810f927506f3aa594d66d5e8658f3cf4d5,Visual Descriptors in Methods for Video Hyperlinking,"Masaryk University, Brno, Czech Rep" -fff0a848b57361e1e99548c95fbc2ec9ae00ce32,A Robust Approach for Gender Recognition Using Deep Learning,"Division of Computer Engineering, Netaji Subhas Institute of Technology, Delhi, India" ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9,"Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition","College of Information Engineering, Shanghai Maritime University, Shanghai, People’s Republic of China" ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9,"Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition","Department of Data Platform, Ping An Technology (ShenZhen) Company Limited, Pudong New Area, People’s Republic of China" ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9,"Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition","Database/Bioinformatics Laboratory, College of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea" -ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9,"Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition","Xi’an Jiaotong-Liverpool University, Suzhou, People’s Republic of China" ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9,"Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition","Centre for Smart Grid and Information Convergence, XJTLU, Suzhou, People’s Republic of China" -ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9,"Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition","Biomedical Engineering Centre, Chiang Mai University, Chiang Mai, Thailand" ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9,"Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition","Electrical Engineering, Faculty of Engineering Chiang Mai University, Chiang Mai, Thailand" 69ba86f7aac7b7be0ac41d990f5cd38400158f96,Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis,"Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey" 694b72a84306112bd012073d24716e406ffcd4cf,Face anti-spoofing via hybrid convolutional neural network,"Department of Electrical and Electronic Engineering, University of Cagliari, Italy" -69dfec15a45786bd37474c8e059bc1ab0a7c8c25,3DMKDSRC: A novel approach for 3D face recognition,"Institute of Advanced Translational Medicine & School of Software Engineering Tongji University, Shanghai 201804, China" 69d9e8f0170cc1148accbb9d4c6902296ea9516b,What makes Paris look like Paris?,"INRIA/Ecole Normale Supérieure, Paris" -69d9e8f0170cc1148accbb9d4c6902296ea9516b,What makes Paris look like Paris?,"Carnegie Mellon University and INRIA/Ecole Normale Supérieure, Paris" -6986658717d6430be30acea59a1296125062d5a4,Cross-camera multi-person tracking by leveraging fast graph mining algorithm,"Information& Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China" -6986658717d6430be30acea59a1296125062d5a4,Cross-camera multi-person tracking by leveraging fast graph mining algorithm,"Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China" 69a4db0468263635ec810c49eb42f1edca728e84,Design of an explainable machine learning challenge for video interviews,"Aix Marseille Univ, CNRS, LIF, Marseille, France" 69a4db0468263635ec810c49eb42f1edca728e84,Design of an explainable machine learning challenge for video interviews,"Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands" -69909a4680263c528103c7ed52ed6300f7971289,Face based recognition algorithms: The use of uncertainty in the classification,"DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43 (FR) - Italy" 69909a4680263c528103c7ed52ed6300f7971289,Face based recognition algorithms: The use of uncertainty in the classification,"DIIn, University of Salerno, via Ponte don Melillo, Fisciano - Italy" 69511f2cf0ff1892758d360e1416617987a2ed2c,Joint ACM workshop on human gesture and behavior understanding: (J-HGBU'11),"MIT, Media Lab,, MA, USA" 69511f2cf0ff1892758d360e1416617987a2ed2c,Joint ACM workshop on human gesture and behavior understanding: (J-HGBU'11),"Università di Modena e Reggio Emilia, Modena, Italy" 69511f2cf0ff1892758d360e1416617987a2ed2c,Joint ACM workshop on human gesture and behavior understanding: (J-HGBU'11),"TELECOM Lille1/LIFL, Villeneuve d'Ascq, France" 69511f2cf0ff1892758d360e1416617987a2ed2c,Joint ACM workshop on human gesture and behavior understanding: (J-HGBU'11),"Università di Firenze, Firenze, Italy" -69737cf25979bf8d8886f63c44ef5b7c95a066e7,Real Time Facial Expression Recognition Based on Deep Convolutional Spatial Neural Networks,"Cochin University of Technology, School of Engineering, Ernakulam, Kerala, India" 69df1b392fc782478f8ff63040855d50514ca782,Robust Multiperson Tracking from a Mobile Platform,"ETH Zurich, Switzerland and KU Leuven, Belgium" 69efe30bbfa798e2b65e3d42d92427a8ffe9b0d2,Video-Based Human Behavior Understanding: A Survey,"Autonomous System Laboratory, ICT Centre, Commonwealth Scientific and Industrial Research Organisation, Pullenvale, Australia" 697646fafee79fc1df05417cf39dad2a7732d270,Where computer vision needs help from computer science,"Computer Science and Artificial Intelligence, MIT, Cambridge, MA" 6947ecf688956184bd7371b3689fb9494139320c,PETS 2015: Datasets and challenge,"Computational Vision Group, School of Systems Engineering, University of Reading, UK" -69a9cf9bc8e585782824666fa3fb5ce5cf07cef2,Captioning Videos Using Large-Scale Image Corpus,"School of Software Engineering, Chengdu University of Information Technology, Chengdu, China" -69a9cf9bc8e585782824666fa3fb5ce5cf07cef2,Captioning Videos Using Large-Scale Image Corpus,"Sichuan University West China Hospital of Stomatology, Chengdu, China" -69990cd6478d7ba8a84b0d01b475e7525d421137,Artificial landmark-based underwater localization for AUVs using weighted template matching,"Ocean System Engineering Research Division, Korea Research Institute of Ships and Ocean Engineering (KRISO), Daejeon, Republic of Korea" -69602cdcf1ad437679a0ed6b8a15ec94e28a8557,A New Discriminative Sparse Representation Method for Robust Face Recognition via $l_{2}$ Regularization,"School of Computer Science and Technology, Nanjing University of Science of Science and Technology, Nanjing, China" 6976165d1ed210363be5b45933144c16183b64c4,Learning disease severity for capsule endoscopy images,"Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA" -6976165d1ed210363be5b45933144c16183b64c4,Learning disease severity for capsule endoscopy images,"Johns Hopkins Hospital, Baltimore, MD, USA" 699ee890e93384b386f1d44f011ee47bd8a17b07,A SVM-based model for the evaluation of biometric sample quality,"GREYC Laboratory, ENSICAEN - University of Caen - CNRS, 6 Boulevard Maréchal Juin, 14000, France" -699ad5c2bfe38df4c7e7af0b8d7c54a73a21b07f,Generation of 3D face views from artist drawn sketch: A review,"Department of Computer Technology, YCCE, Nagpur, Maharashtra, India" 6966a0835b6e4627108429c5f0f0c7f3de20905b,Sparse nonnegative matrix factorization using ℓ0-constraints,"Signal Processing and Speech Communication Lab, University of Technology, Graz, Austria" 690a1b410cda35bdfb5bbc8d89af1b7a97c703d9,A new method for violence detection in surveillance scenes,"Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, Australia" -6953d1ec1908fdabdb33b16a6acbc211cc31d6fb,2D FDA vs. 1D FDA: Stereo Face Recognition,"Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613. jgwang@i2r.a-star.edu.sg" 6953d1ec1908fdabdb33b16a6acbc211cc31d6fb,2D FDA vs. 1D FDA: Stereo Face Recognition,"Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613" -6910dd8525776b2f7aa048405542abd8d61bac5a,Machine perception in gender recognition using RGB-D sensors,"LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco" -2c86351363c59d0f39f9f0296b149aee50047ee8,A Novel Hierarchical Method of Ship Detection from Spaceborne Optical Image Based on Shape and Texture Features,"Beijing Institute of Tracking and Telecommunications Technology, Beijing, China" 2ca21cf2099fcd74c6604c65b368b9e61d8464bf,Road crack detection using a single stage detector based deep neural network,"School of Engineering and Built Environment, Glasgow Caledonian University, Scotland, United Kingdom" 2c885d046ea482774d0c657613a061ad21668557,"Multi sensor, multi algorithm based face recognition & performance evaluation","Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad" 2c885d046ea482774d0c657613a061ad21668557,"Multi sensor, multi algorithm based face recognition & performance evaluation","Maharashtra University of Health Sciences, Nashik" @@ -6067,7 +3626,6 @@ ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9,"Face recognition technology developmen 2c03ba51f7404d8d9869a997a00f6af801149ac1,Adaptive spatio-temporal context learning for visual target tracking,"Video Processing Laboratory, Department of Electrical Engineering, Yazd University, Yazd, Iran" 2cc46e18e6869f1a6a4420f8b839cfd4c6844c20,Human face classification based on localized blur descriptors,"Department of Electrical Engineering University of Windsor, 401 Sunset Ave, Windsor, ON, Canada" 2cef1515ac1d98f1dcfdc9b84c1a3b6f3758b9d1,Joint pose estimation and action recognition in image graphs,"Technicolor Research and Innovation, Cesson-Sévigné, France" -2cef1515ac1d98f1dcfdc9b84c1a3b6f3758b9d1,Joint pose estimation and action recognition in image graphs,"INRIA - Willow Project, Laboratoire d´Informatique, École Normale Supérieure, France" 2cc6e67be5c4acd451fe3e1aeddc4d1a0ad051d6,A 3D Dynamic Scene Analysis Framework for Development of Intelligent Transportation Systems,"Honda Research Institute, 375 Ravendale Dr, Suite B, Ravendale, CA, 94043, USA" 2cc6e67be5c4acd451fe3e1aeddc4d1a0ad051d6,A 3D Dynamic Scene Analysis Framework for Development of Intelligent Transportation Systems,"Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA" 2c3b31284e8ed00a473338be011570967cc15958,Re-Identification in the Function Space of Feature Warps,"Department of Mathematics and Computer Science, Univeristy of Udine, Udine, Italy" @@ -6075,100 +3633,59 @@ ff8a9478fa23dc5ea7db6b5ffd0d2e16600ddfc9,"Face recognition technology developmen 2cfee31ff4aa21e4e21cd5f018e1a9ed9ef33f5c,Action Recognition from One Example,"University of California Santa Cruz, Santa Cruz" 2cba9d9157da4e976827959ca65626d9c5cd87fc,Interactive Text2Pickup Networks for Natural Language-Based Human–Robot Collaboration,"Kakao Brain, Seongnam, South Korea" 2cf525b50a50d142ff86b750ecf50421f4361bc6,Recognition of objects in video images using the segmentation algorithm,"Mechanical and Electrical Engineering, Polish Naval Academy, Gdynia, Smidowicza 69, Poland" -ed968437157f6b2d55114e90059cdce746d7b090,Two-stage extreme learning machine for high-dimensional data,"National and Local Joint Engineering Laboratory of Internet Application Technology on Mine, Xuzhou, China" ed91762544810590cc7eb3b84aec0bcdbc206465,3D surfaces representation using geodesic computation and spectral analysis coupled approach: Application to 3D faces,"CRISTAL laboratory, GRIFT research group National School of Computer Sciences (NSCS) La Manouba 2010, Tunisia" -edd4b6d99367a69865377109f5f8bcf872f0ba45,Versatile loitering detection based on non-verbal cues using dense trajectory descriptors,"Centre for Image Processing and Pattern Recognition, Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India" -edef734a0bc729162ff7a805363eda88e1633c8d,Large scale image understanding with non-convex multi-task learning,"National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences(CAS), Beijing, China" -edef734a0bc729162ff7a805363eda88e1633c8d,Large scale image understanding with non-convex multi-task learning,"Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, Beijing, China" edef734a0bc729162ff7a805363eda88e1633c8d,Large scale image understanding with non-convex multi-task learning,"Department of Multimedia, Sungkyul University, Korea" ed7b46df8ee985d9dafcded81a2295a21e9f2293,Enhancing bidirectional association between deep image representations and loosely correlated texts,"Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244, USA" -ede0c040db8e24ffb1cb24cf435e032276c7f8b7,A new method combining HOG and Kalman filter for video-based human detection and tracking,"Research Institute of Computer Science and Technology, Ningbo University, Ningbo, China" -ede0c040db8e24ffb1cb24cf435e032276c7f8b7,A new method combining HOG and Kalman filter for video-based human detection and tracking,"Research Institute of Computer Science and Technology Ningbo University, Ningbo, China" ed0b765d4a477240a5c221c8b05dcc7e3abefd4f,Comparison and Analysis of Recursive-RANSAC for Multiple Target Tracking,"Brigham Young University, Provo, USA" ed0b765d4a477240a5c221c8b05dcc7e3abefd4f,Comparison and Analysis of Recursive-RANSAC for Multiple Target Tracking,"Raytheon Missile Systems, Tucson, USA" -ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2,Audio Visual Recognition of Spontaneous Emotions In-the-Wild,"NPU-VUB Joint AVSP Lab, School of Computer Science, Northwestern Polytechnical University (NPU), Xi’an, China" -ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2,Audio Visual Recognition of Spontaneous Emotions In-the-Wild,"Shaanxi Key Laboratory on Speech and Image Information Processing, Xi’an, China" ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2,Audio Visual Recognition of Spontaneous Emotions In-the-Wild,"NPU-VUB Joint AVSP Lab, Department ETRO, Vrije Universiteit Brussel (VUB), Brussels, Belgium" -ed779cc4f026f6ac22f5ef0c34126138e1ebc8b2,Audio Visual Recognition of Spontaneous Emotions In-the-Wild,"Interuniversity Microelectronics Centre, Heverlee, Belgium" ed575e997ebb5df75e1bea804dda4b7bc96f9c9f,Person recognition for service robotics applications,"Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, Stuttgart, Germany" -edc37f68cc6a36ba51db77574788cce4b2719719,Real-time Facial Expression Recognition on Robot for Healthcare,"Shenzhen Academy of Robotics, Shenzhen, Guangdong, 518057, China" -edf254f131ee6bb42555bdafdc4775a3edf3c28e,Face recognition using multimodal biometric features,"Surface Robotics Lab, Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur - 713209, West Bengal, India" edf60d081ffdfa80243217a50a411ab5407c961d,Recognizing an Action Using Its Name: A Knowledge-Based Approach,"QCIS, University of Technology, Sydney, Australia" -edf60d081ffdfa80243217a50a411ab5407c961d,Recognizing an Action Using Its Name: A Knowledge-Based Approach,"HTC Research, Beijing, China" ede1ba873ac2fa186a8d2f58be6cde2284c65d1d,To Recognize Families In the Wild: A Machine Vision Tutorial,"UMass Dartmouth, Dartmouth, MA, USA" -ed7d4400d5e07efb7b7cc3624dbe5963b77fda33,A score level fusion framework for gait-based human recognition,"Information Research Institute, Shandong Academy of Sciences, No 19 Keyuan Road, Jinan, 250014, China" 3ec6fab063bd0b1863357d3839847e8be6759c7c,Towards robust skin colour detection and tracking,"Department of Mechatronics Engineering, International Islamic University, Kuala Lumpur, Malaysia" 3e3111f5f9285a2ff481a6668f734b4e53bf2673,Automated feet detection for clinical gait assessment,"School of Electrical Engineering and the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology, Atlanta, GA 30308, USA" 3e3111f5f9285a2ff481a6668f734b4e53bf2673,Automated feet detection for clinical gait assessment,"School of Nursing and Health Professions at Georgia State University, Atlanta, GA 30302, USA" -3e9219fdcbc17772041456cf8dbfd361a82cbdd4,Image Classification with the Fisher Vector: Theory and Practice,"CIEM-CONICET, FaMAF, Universidad Nacional de Córdoba, Córdoba, Argentina" 3e9219fdcbc17772041456cf8dbfd361a82cbdd4,Image Classification with the Fisher Vector: Theory and Practice,"LEAR Team, INRIA Grenoble, Montbonnot, France" 3ef85a078a688615c61f04d8605ae27e17f554dd,Analysis of the Influence of Training Data on Road User Detection,"Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Leganés, Spain" 3ec98dabbcf440db746d4baf6550e44e12c5ee76,A comparative study between LBP and Haar-like features for Face Detection using OpenCV,"British Malaysian Institute, Universiti Kuala Lumpur, Selangor" 3ec98dabbcf440db746d4baf6550e44e12c5ee76,A comparative study between LBP and Haar-like features for Face Detection using OpenCV,"Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur" -3ec98dabbcf440db746d4baf6550e44e12c5ee76,A comparative study between LBP and Haar-like features for Face Detection using OpenCV,"Malaysian Institue of Industrial Technology, Universiti Kuala Lumpur, Johor" -3ee5f77594762b786611787860d7d58f4a328c9c,"Training-Free, Generic Object Detection Using Locally Adaptive Regression Kernels","University of California, Santa Cruz, Santa Cruz" 3e5321136cf8007c98b77c1d5a17823deba20b7e,Optimizing one-shot recognition with micro-set learning,"University of Central, Florida" -3e5321136cf8007c98b77c1d5a17823deba20b7e,Optimizing one-shot recognition with micro-set learning,"Intel Labs Pittsburgh, Carnegie Mellon" -3e578969cad015f6e01cd4221985bf7ea4cb634d,Multi-feature fusion based region of interest generation method for far-infrared pedestrian detection system,"Chinese Academy of Sciences and Anhui Engineering Laboratory for Intelligent Driving Technology and Appllication, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China" -3e578969cad015f6e01cd4221985bf7ea4cb634d,Multi-feature fusion based region of interest generation method for far-infrared pedestrian detection system,"Chinese Academy of Sciences and Anhui Province Key Laboratory of Intelligent connected technology, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China" -3e940fe776e387a1c9c9fa65ab5cd7fc22fb4549,Pedestrian detection and direction estimation by cascade detector with multi-classifiers utilizing feature interaction descriptor,"Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan" 3e198f28343fccf502bc20191660dd090ba5356d,Accurate License Plate Recognition and Super-Resolution Using a Generative Adversarial Networks on Traffic Surveillance Video,Gwangju Institute of Science and Technology 3ea11e30c2a67cc28d007e5a09f62181e363cdca,An Ensemble Approach to Robust Biometrics Fusion,"Tulane University, USA" -3e59a900cecbe5dddaddea51f97fb7d12d99b44b,Affordance learning and inference based on vision-speech association in human-robot interactions,"School of Electronic and Information Engineering, Foshan University, Foshan, China" 3e72a8895ddef2c13257599b87de12b5f4ee5d87,Automated walking aid detector based on indoor video recordings,"EAVISE, KU Leuven Department of Industrial Engineering Sciences, Germany" 3e72a8895ddef2c13257599b87de12b5f4ee5d87,Automated walking aid detector based on indoor video recordings,"AdViSe Technology Center, KU Leuven Department of Industrial Engineering Sciences, Germany" 3ecdb65de4147d42c8227b6b7a70b47d91485b5e,Stereo vision-based simultaneous localization and mapping with ranging aid,"Institute of Communications and Navigation, German Aerospace Center (DLR), Oberpfaffenhofen, Germany" 3eb174af28a80be4e3ce5d55750d7d38c2ff4da6,Face recognition using immune network based on principal component analysis,"Tatung University, Taipei City, Taiwan Roc" -3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904,Dynamic locally connected layer for person re-identification,"ChongQing College of Electronic Engineering, Chongqing, China" -3e46079c418d2d0ed2fd9d32ec1d721c2c6bd904,Dynamic locally connected layer for person re-identification,"ChongQing YuBei Experimental Primary School, Chongqing, China" 3e6c43835e0579fbca60db2cb124364549dfd2b0,Hyper spectral face image based biometric recognition,"Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad" -3e4d8bd8cb917db9bad1ed4382ccb266ab5fa411,Toward Efficient Simultaneous Detection and Segmentation,"Beijing Information Science and Technology University, School of Automation, Beijing, China" -3e4d8bd8cb917db9bad1ed4382ccb266ab5fa411,Toward Efficient Simultaneous Detection and Segmentation,"Beijing Institute of Technology, School of Information and Electronics, Beijing, China" 3e59d97d42f36fc96d33a5658951856a555e997b,"Realistic inverse lighting from a single 2D image of a face, taken under unknown and complex lighting","Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany" -3efe2e245fd1a80e837f9c4eb57c4971c644ee6e,Linear discriminant analysis using sparse matrix transform for face recognition,"Faculty of Mathematics and Statistics, and Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, China" c74b188e7527a41eab514d4a5f72660184de3ced,Recognition of facial expressions extracting salient features using local binary patterns and histogram of oriented gradients,"Department of Electrical Engineering Jorhat Engineering College Jorhat, Assam" -c7e00a3f01c54e033e5664bec1c6df82fd5c7572,Classifier Feature Extraction Techniques for Face Recognition System under Variable Illumination Conditions,"Department of Electrical and Electronics Engineering, Anna University of Technology, Coimbatore, India" -c70ea40140e2f73e78d9d54335fbacce46d4d0b1,Enhanced collaborative representation based Classification,"Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China" c72e13581cc69ab9cf59fb3d41015a67de68306e,Deep learning lane marker segmentation from automatically generated labels,"Automated Driving Team, Robert Bosch LLC, Palo Alto, CA 94304" c7da4495dbefe97addf3d67a11cc3089f54bf799,Human detection in semi-dense scenes using HOG descriptor and mixture of SVMs,"Parallel processing image. Computer Engineering Department, Electrical and Computer Faculty. Tarbiat Modares, Tehran, Iran" c7822b90a04f25e06d2fbed6b72a5ff89ff22c41,2D-3D face recognition using shapes of facial curves based on modified CCA method,"Dept. of Telecommunications and Multimedia, University of Zilina, Univerzitna 1, 010 26 Zilina" c78692bb455a3abb00aaa06eb9cd151cde08ba1c,Boosting for learning from multiclass data sets via a regularized loss function,"Department of Computer Science and Engineering University of North Texas Denton, TX 76201" -c71d2ea6cad37e318289d02f20d393c85de5cc21,Structure Preserving Sparse Coding for Data Representation,"School of Computer Engineering, Jiangsu University of Technology, Changzhou, China" c7b2547f41a51bf300490ef9d1e5988082466bc9,Real time intention recognition,"Dept. of Information Engineering, University of Firenze - Italy" c7b2547f41a51bf300490ef9d1e5988082466bc9,Real time intention recognition,"Dept. of Formative Sciences and Psychology, University of Firenze - Italy" c777d4cb33219274183fbc212ad5faf25638c8ad,Mongoloid and Non-Mongoloid Race Classification from Face Image Using Local Binary Pattern Feature Extractions,"School of Computing, Universitas Telkom, Multimedia Laboratory, Bandung, West Java, 40257" -c7657e8c546ecf2987fea4d27df17992a4822aed,The AISL head orientation database and preliminary evaluations,"Politeknik Elektronika Negeri Surabaya, Indonesia" c73c11bbc0bb5a8ff94ebaebf7f12560a885b8bb,Predicting Occupancy Distributions of Walking Humans With Convolutional Neural Networks,"Bosch Center for Artificial Intelligence, Renningen, Germany" c73c11bbc0bb5a8ff94ebaebf7f12560a885b8bb,Predicting Occupancy Distributions of Walking Humans With Convolutional Neural Networks,"Department of Computer Science, University of Freiburg, Freiburg, Germany" -c78dfcc119e5a88ca5f4ce6787b2e99cd1e350b8,Image Projection Ridge Regression for Subspace Clustering,"Department of Applied Mathematics, Yuncheng University, Yuncheng, China" -c78dfcc119e5a88ca5f4ce6787b2e99cd1e350b8,Image Projection Ridge Regression for Subspace Clustering,"College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao, China" -c790d53077e17534f071a3b87cdf8bb362c7e839,Structured Local Binary Haar pattern for graphics retrieval,"Cognitive Science Department of Xiamen University, Fujian Key Laboratory of the Brain-like Intelligent Systems, China" c790d53077e17534f071a3b87cdf8bb362c7e839,Structured Local Binary Haar pattern for graphics retrieval,"Department of Computer Engineering and Science of Yuan-Ze University, Taiwan" c790d53077e17534f071a3b87cdf8bb362c7e839,Structured Local Binary Haar pattern for graphics retrieval,"Department of Computer Science and Information Engineering, Ching-Yun University, Taiwan" c79d1509ee63086fe1a236a13353f25f36b75006,Autonomous facial recognition based on the human visual system,"Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA" -c7251a6455f405153df0290c25c25c085fda66c9,Recent advances in human behaviour understanding: A survey,"Department of Information Technology, MCKV Institute of Engineering, Howrah, India" c767c06bf0374b894c42a9b086c51fbef69de1ec,Efficient Privacy-Preserving Facial Expression Classification,"Information Security Group, School of Engineering and Mathematical Sciences, City University London, EC1V 0HB London, U.K" c7ee0eca1a9af0a2ce31d5a745e49a638bd5d59b,A robust invariant bipolar representation for R 3 surfaces: applied to the face description,"GRIFT Research Group, CRISTAL Laboratory, Ecole Nationale des Sciences de l’Informatique (ENSI), La Manouba University, La Manouba, Tunisia" c73199c180e5c01a5d53c19b8e079b0f6d07d618,Data-Dependent Kernel Discriminant Analysis for Feature Extraction and Classification,"Department of Electronic Engineering, National Kaohsiung, University of Applied Sciences, Kaohsiung, Taiwan. jspan@cc.kuas.edu.tw" -c73199c180e5c01a5d53c19b8e079b0f6d07d618,Data-Dependent Kernel Discriminant Analysis for Feature Extraction and Classification,"Visual Information Analysis and Processing Research Center Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China. zhemingl@yahoo.com" c73199c180e5c01a5d53c19b8e079b0f6d07d618,Data-Dependent Kernel Discriminant Analysis for Feature Extraction and Classification,"Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan. byliao@cc.kuas.edu.tw" c7c0da2219c4324c5e8d5bc062c499286489c437,GEFE: genetic & evolutionary feature extraction for periocular-based biometric recognition,"North Carolina A&T State University, Greensboro, NC" c7cc53622fc3f3b0970bc02dffd08d004d03916c,Pedestrian detection with a resolution-aware convolutional network,"Department of Information Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502 Japan" f23cdb221627cab6d0804e58cefc0d55a7d9a97f,Experimental Evaluation of Matching-Score Normalization Techniques on Different Multimodal Biometric Systems,"Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia. slobodan.ribaric@fer.hr" f28fb0dd4187325b03ea3c82a21e6a34e788847f,Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013,"IRISA, Campus Universitaire de Beaulieu, Rennes, France" -f28fb0dd4187325b03ea3c82a21e6a34e788847f,Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013,"Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany" -f25295b1ed1e8dbcf6bfe17db294d0ab32802633,Latent subcategory models for pedestrian detection with partial occlusion handling,"Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy" -f28c5a652ddf5985befa74ffcaa97b1bf301c1ed,Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation,"Department of Computer Science, Shanghai Maritime University, Shanghai, China" f29a24ee71940aa46b2c3438d4ddb89b33acdbc4,Towards High-Resolution Face Pose Synthesis,"Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, Porto Alegre, RS, 6681, Brazil" f2cf24b7107f8b8061c9b0f28a716e246f3ea5ea,Objective Metrics and Gradient Descent Algorithms for Adversarial Examples in Machine Learning,"University of Wisconsin, Madison, Wisconsin" -f2eb772eca9b391659376c1262231297386202be,A palmprint based recognition system for smartphone,"Department of CSIS, Birla Institute of Technology and Science, Pilani, Pilani-333031, Rajasthan, India" f2eb772eca9b391659376c1262231297386202be,A palmprint based recognition system for smartphone,"Department of Computer Science, Texas State University, San Marcos TX, 78666-4616, USA" -f2eb772eca9b391659376c1262231297386202be,A palmprint based recognition system for smartphone,"National Institute of Technical Teachers' Training & Research, Kolkata, Salt Lake, Kolkata-700106, India" f249b2de6eacb5598abf3046fbb2efb9f15f3fcc,Towards Accessories-Aware Ear Recognition,"Barcelona School of Telecommunications Engineering, Universitat Politcnica de Catalunya, EU, Spain" f2896dd2701fbb3564492a12c64f11a5ad456a67,Cross-database age estimation based on transfer learning,"Department of CSE, University at Buffalo (SUNY), NY 14260, USA" f2da0ed6dcb86a8c0ddc8c13245272a726cec480,Facial recognition application for border control,"Security area everis Aerospace, Defense Security, Madrid, Spain" f2da0ed6dcb86a8c0ddc8c13245272a726cec480,Facial recognition application for border control,"Research department, Herta Security, Barcelona, Spain" -f23cd33ea1020d0fc82fc6e5f65a87d8e3edb3b5,Lip segmentation with the presence of beards,"Dept. of Electron. Eng., City Univ. of Hong Kong, China" f266c3bb846ef13a8bf0d09a66461e1e77464475,Automatic Content Description and Annotation of Sport Images using Classification Techniques,"Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt" f225f7034d89cc34c58cb7f6daf00c97c3194556,Accurate pedestrian path prediction using neural networks,"Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, Michigan 48128, USA" f28e1ef4a0126207a4ccc16b359a41ccfefd2bef,An effectual facial expression recognition using HMM,"Department of Electronics and communication Engineering, Sathyabama University, Chennai" @@ -6178,91 +3695,46 @@ cae208e906f5c21d7c8f00c5e237cced25883da0,Towards Reversal-Invariant Image Repres cafffe047be8dbdeaf9b34016ed14a70424be940,"A fast, robust and low bit-rate representation for SIFT and SURF features","Artificial Intelligence Group, University Bremen, Am Fallturm 1, 28359, Germany" cafffe047be8dbdeaf9b34016ed14a70424be940,"A fast, robust and low bit-rate representation for SIFT and SURF features","Institute of Real-Time Learning Systems, University Siegen, Hoelderlinstrasse 3, 57076, Germany" cafe515943a1f502ac6f57e957c2a2044bf7937c,Vehicle Positioning in GNSS-Deprived Urban Areas by Stereo Visual-Inertial Odometry,"Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia" -ca902aeec4fa54d32a4fed9ba89a7fb2f7131734,Entropy-based active sparse subspace clustering,"Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, China" -ca902aeec4fa54d32a4fed9ba89a7fb2f7131734,Entropy-based active sparse subspace clustering,"School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China" caac13b7814e65161a3e9240e536722af0edac06,A new facial key features location algorithm in color images,"Department of Computer and Information Science, Hunan University of Science and Engineering, Yongzhou, Hunan China, 425006" ca1b0b87d1a21332bb8e9458e5acca4e596f7c83,Estimation system of construction equipment from field image by combination learning of its parts,"Department of Electrical Engineering and Computer Science, Shibaura Institute of Technology Graduate School of Engineering and Science, Tokyo, Japan" ca0ac8cf1ed07d96e7951e8546980ad8a7dddfce,A coarse-to-fine approach to robust 3D facial landmarking via curvature analysis and Active Normal Model,"Department of Mathematics and Computer Science, Ecole Centrale de Lyon, CNRS, 69134, France" ca92c54ec18e72d3ba86f3b80d82974707882abb,Talk2Me: A Framework for Device-to-Device Augmented Reality Social Network,"Department of Electronic Systems, Aalborg University Copenhagen, Denmark" -caed930d54a3f24b86163dd31eee9890ec5b5c5f,Violence detection in crowded scenes using substantial derivative,"Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy" -ca4a8f9e15a5d24e3b65413587164723a4421b6f,Consensus-based trajectory estimation for ball detection in calibrated cameras systems,"ICTEAM-ELEN, Université catholique de Louvain, Louvain-La-Neuve, Belgium" -ca3e88d87e1344d076c964ea89d91a75c417f5ee,Indian Movie Face Database: A benchmark for face recognition under wide variations,"BVBCET, Hubli, India" -ca3e88d87e1344d076c964ea89d91a75c417f5ee,Indian Movie Face Database: A benchmark for face recognition under wide variations,"Vickramce, MDU, India" -ca3e88d87e1344d076c964ea89d91a75c417f5ee,Indian Movie Face Database: A benchmark for face recognition under wide variations,"CVIT, IIITH, India" -ca3e88d87e1344d076c964ea89d91a75c417f5ee,Indian Movie Face Database: A benchmark for face recognition under wide variations,"TCE, India" -ca3e88d87e1344d076c964ea89d91a75c417f5ee,Indian Movie Face Database: A benchmark for face recognition under wide variations,"SDM, Dharwad, India" -ca3e88d87e1344d076c964ea89d91a75c417f5ee,Indian Movie Face Database: A benchmark for face recognition under wide variations,"PSYEC, India" ca9adaf5702a7eb9b69be98128e0cae7d6252f8b,Evaluation of a Case-based Facial Action Units Recognition Approach,"Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. sfwang@ustc.edu.cn" ca9adaf5702a7eb9b69be98128e0cae7d6252f8b,Evaluation of a Case-based Facial Action Units Recognition Approach,"Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xuejia@mail.ustc.edu.cn" ca9adaf5702a7eb9b69be98128e0cae7d6252f8b,Evaluation of a Case-based Facial Action Units Recognition Approach,"Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xfwang@ustc.edu.cn" cab160d3ee7873f7905c0334de1a066e20a25679,Characterization of a Bayesian Ship Detection Method in Optical Satellite Images,"GRIMAAG, University of the Antilles and Guyane, Pointe-à-Pitre , France" cae17fd058a031515ad0aa6c0f5da5fcb5f681b5,Towards Robust Evaluation of Face Morphing Detection,"Data Management and Biometrics Group, Faculty of EEMCS University of Twente, Enschede, AE, 7500, The Netherlands" -caacb99b5cd40992296f914a3bece80059047400,Is pedestrian detection robust for surveillance?,"Jiangxi University of Finance and Economics, China" cae6f7249783b102e8b05216709a780f47c57f7c,Subjective evaluation of image understanding results,"GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Maréchal Juin, 14000 CAEN, France" cae6f7249783b102e8b05216709a780f47c57f7c,Subjective evaluation of image understanding results,"PRISME Institute, ENSI de Bourges - University of Orléans, 88 Boulevard Lahitolle, 18020 BOURGES, France" -ca548fe8e5db29b876115d31544b68add98ae6a8,"Structural, Syntactic, and Statistical Pattern Recognition","Universidad de Alicante, Spain" -ca548fe8e5db29b876115d31544b68add98ae6a8,"Structural, Syntactic, and Statistical Pattern Recognition","Università Ca’ Foscari Venezia, Venezia Mestre, Italy" -ada063ce9a1ff230791c48b6afa29c401a9007f1,Biometric Recognition,"Xinjiang University, Urumqi, China" -ad72a3c74a2eb7a02288e2ec86057a37d80227b2,Balanced Mixture of Deformable Part Models With Automatic Part Configurations,"Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, China" -adba7aaf8a35e7363577caa8de552b873d7fbb9f,Real time face recognition using decision fusion of neural classifiers in the visible and thermal infrared spectrum,"Department of Electronics, Telecommunications and Information Technology, Polytechnic University of Bucharest, Romania" -ad75330953d9aacc05b5ca1a50c4fed3e7ca1e21,Design and implementation of an affect-responsive interactive photo frame,"University of A Coruna, Corunna, Spain" -ad75330953d9aacc05b5ca1a50c4fed3e7ca1e21,Design and implementation of an affect-responsive interactive photo frame,"Helsinki Institute for Information Technology HIIT, University of Helsinki, Helsinki, Finland" -ad5079e4446d7c4bbf1895d8af56f6d299eb1f0c,Automatic facial expression recognition in real-time from dynamic sequences of 3D face scans,"Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy" -ad0863aa16301d7c6617f8b965a64cf58f38594f,Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015,"University of Canberra and Australian National University, Canberra, Australia" -ad6dedc3f56b1ef2c083cb13c2638eddf208d49b,An object based graph representation for video comparison,"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China" ad6dedc3f56b1ef2c083cb13c2638eddf208d49b,An object based graph representation for video comparison,"Dept. of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York, USA" ad37d01c4787d169daff7da52e80e2018aab6358,Fast and Exact Newton and Bidirectional Fitting of Active Appearance Models,"School of Computer Science, The University of Notthingham, Nottingham, U.K." ad3d4b8498748b7724c38c5d2e85f9d4e5913ffa,Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration,"Navier (UMR 8205), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France" -ad3d4b8498748b7724c38c5d2e85f9d4e5913ffa,Virtual Training for a Real Application: Accurate Object-Robot Relative Localization Without Calibration,"LIGM (UMR 8049), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France" ada56c9ceef50aa5159f1f8aa45ca2040d1ed15c,Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs,"Department of Computer Science, IT: Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal" ad5a1621190d18dd429930ab5125c849ce7e4506,One shot emotion scores for facial emotion recognition,"Center for Research in Intelligent Systems, University of California, Riverside Winston Chung Hall 216, Riverside, CA, 92521-0425, USA" -ad6fa62ca4a93ed0556df04098947192dc3bc5fe,Pose estimation of rigid transparent objects in transparent clutter,"Itseez, Korolenko 19b, Nizhny Novgorod, Russia" ad6fa62ca4a93ed0556df04098947192dc3bc5fe,Pose estimation of rigid transparent objects in transparent clutter,"Willow Garage, Inc., 68 Willow Road, Menlo Park, CA 94025, USA" ad560c4c6b78da4736962df380a42736909cdb3b,Midrange Geometric Interactions for Semantic Segmentation,"ICSI, UC Berkeley, Berkeley, USA" -ad15e64c93676b57ebcef4c2c4183d41b246f8ae,Parsing human skeletons in an operating room,"Computer Aided Medical Procedures, Technische Universität München, Munich, Germany" ad15e64c93676b57ebcef4c2c4183d41b246f8ae,Parsing human skeletons in an operating room,"CVLAB, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland" ad15e64c93676b57ebcef4c2c4183d41b246f8ae,Parsing human skeletons in an operating room,"MITI, Klinikum rechts der Isar, Technische Universität München, Munich, Germany" ad15e64c93676b57ebcef4c2c4183d41b246f8ae,Parsing human skeletons in an operating room,"Siemens AG, Munich, Germany" ad624331dc5f8dc3a72b1d5baf69634b2f345656,Facial expression recognition based on a weighted Local Binary Pattern,"Dept. of CIT, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh" -ad29afdbce160d3749a3685da75bc35b16d64b95,Contrasting and Combining Least Squares Based Learners for Emotion Recognition in the Wild,"Boğaziçi University, Bebek, Istanbul, Turkey" -ad0dbdd4b0eecf16cd93f8f1f261874f5830f64c,Information-theoretic generalized orthogonal matching pursuit for robust pattern classification,"School of Computer, Electronics and Information, Guangxi University, Guangxi, China" -ad0dbdd4b0eecf16cd93f8f1f261874f5830f64c,Information-theoretic generalized orthogonal matching pursuit for robust pattern classification,"School of Information Science and Engineering, Chengdu University, Chengdu, China" ad34d0da2a9f15bd45f8193e10838ae7deb9ead6,Predominant color name indexing structure for person re-identification,"Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Minas Gerais, Brazil" add9dc1725f8b96d2f7c5e242de29205096e7c98,Deep multi-task learning for gait-based biometrics,University of Cordoba -add9dc1725f8b96d2f7c5e242de29205096e7c98,Deep multi-task learning for gait-based biometrics,University of Malaga -ad9ba7eade9d4299159512d6d5d07d7d3d26ae58,Feature Extraction Based on Maximum Nearest Subspace Margin Criterion,"School of Information Engineering, Jiangxi Manufacturing Technology College, Nanchang, China" -ad77056780328bdcc6b7a21bce4ddd49c49e2013,Face verification based on deep reconstruction network,"School of Automation and Information Engineering, Xi'an University of Technology, Xi'an, China" -ad6c7cc5c0f4ab273fef105ff3761d2c08609a20,Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition,"Nanjing Normal University & Nanjing University, Nanjing, China" -ad6cc071b2585e4bdb6233b7ad8d63e12538537d,Effective multiplicative updates for non-negative discriminative learning in multimodal dimensionality reduction,"Department of Computer Science and Technology, Nanjing Forestry University, Nanjing, China" -ad6cc071b2585e4bdb6233b7ad8d63e12538537d,Effective multiplicative updates for non-negative discriminative learning in multimodal dimensionality reduction,"Department of Language Studies, Nanjing Forestry University, Nanjing, China" -ad6cc071b2585e4bdb6233b7ad8d63e12538537d,Effective multiplicative updates for non-negative discriminative learning in multimodal dimensionality reduction,"Department of Computer Science and Technology, Nanjing Forestry University and Shandong University, Jinan, China" ada6f115396d56841608a293f9b1711257f780bb,Cephalometric landmarks localization based on Histograms of Oriented Gradients,"School of Computer Engineering, Shahrood University of Technology, Iran" -add80c86fa2e73637b5630a9e32644784e59379c,Expanding Training Data for Facial Image Super-Resolution,"School of Computer, Beijing Institute of Technology, Beijing, China" -add34d4cbb4ea6c7aba4d4149a8ddaa5c2a00f40,Person Re-identification Based on Human Body Parts Signature,"Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China" add34d4cbb4ea6c7aba4d4149a8ddaa5c2a00f40,Person Re-identification Based on Human Body Parts Signature,Shanghai Research Institute of China Telecom. Corporation Limited -ad60b6d777ab5dda8a67dc4bdf974abec69d258a,Adult content classification through deep convolution neural network,"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia" ad60b6d777ab5dda8a67dc4bdf974abec69d258a,Adult content classification through deep convolution neural network,"Department of Computer Science, Pakuan University, Bogor, Indonesia" ad60b6d777ab5dda8a67dc4bdf974abec69d258a,Adult content classification through deep convolution neural network,"Department of Information System Service, Swiss German University, Tangerang, Indonesia" ad173dd56894fe00ab1bca68c284dc34b5e67a0e,Multi-scale object detection by clustering lines,"Computer Science Division, EECS, University of California at Berkeley, USA" f4df920748facebeb10c8037a9c9ef18a9d88564,Vehicle recognition and its trajectory registration on the image sequence using deep convolutional neural network,"Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation" f4db287121a9809233a5631b4e7c1687b9c07ba2,Using Adaptive Trackers for Video Face Recognition from a Single Sample Per Person,"Laboratoire d’imagerie, de vision et d’intelligence artificielle École de technologie supérieure, Université du Québec, Montréal, Canada" f4d68024b096c8e203f8b8ccf40d0efcd06f2c4c,Constant tangential angle elected interest points,"INRIA Rocquencourt, France" -f4c42c58c6649538c85b85b5357b29793798109b,Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection,"Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA" -f4cf8e1ec82d186303fa8c9e22ed0ff68b55496d,Multiple people tracking from 2D depth data by deterministic spatiotemporal data association,"Mechanical Engineering Department and HRI Research Center, KAIST, Deajeon, Republic of Korea" -f4cf8e1ec82d186303fa8c9e22ed0ff68b55496d,Multiple people tracking from 2D depth data by deterministic spatiotemporal data association,"Faculty of Mechanical Engineering Department and HRI Research Center, KAIST, Deajeon, Republic of Korea" -f42234d1efc179079e6cc6a26667fc942ed61911,Low-cost face biometry for visually impaired users,"DISI, Università di Genova, Italy" -f42234d1efc179079e6cc6a26667fc942ed61911,Low-cost face biometry for visually impaired users,"Istituto Chiossone, Italy" f42234d1efc179079e6cc6a26667fc942ed61911,Low-cost face biometry for visually impaired users,"DiCo, Università di Milano, Italy" -f42234d1efc179079e6cc6a26667fc942ed61911,Low-cost face biometry for visually impaired users,"Imavis srl, Italy" f40767ee174caa01eb0fd09bfcbf703f7ab50dd5,Automatic computation of histogram threshold for lip segmentation using feedback of shape information,"Department of Electrical Engineering, Afeka, Tel Aviv Academic College of Engineering, Tel Aviv, Israel" f45a7226b21ee9b438772e4ff69f5b8b679420b5,Recognize High Resolution Faces: From Macrocosm to Microcosm,Chinese University of Hong Kong f4717cc1de51c8b3a7c5b68fd98ae16672bc6181,Learning of face components in coherent and disturbed constellations,"Artificial Intelligence Group, University of Bremen, Am Fallturm 1, 28359, Germany" -f4b9b5bdb28641fd1a2db0b3730eef02c7bac489,Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds,"College of Science and Information, Qingdao Agricultural University, Qingdao, China" f4c768a8f9ae211168acafed36d371d793e768b3,Statistical shape modelling for expression-invariant face analysis and recognition,"Robotics and Computer Vision Research Laboratory, ADSIP Research Centre, School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK" f4331705d8e7180455fb865436bfb34c08ed6d50,Hybridnet for Depth Estimation and Semantic Segmentation,"Universitat Politécnica de Catalunya, BARCELONATECH Image and Video Processing Group, C. Jordi Girona 31, Barcelona, 08034, Spain" f4a0f08880014331858ecea7ea9f8d27a14f0b2a,Detection and analysis model for grammatical facial expressions in sign language,"Department of Information Technology, National Institute of Technology, Karnataka, Surathkal" f4a0f08880014331858ecea7ea9f8d27a14f0b2a,Detection and analysis model for grammatical facial expressions in sign language,"Department of Mechanical Engineering, National Institute of Technology, Karnataka, Surathkal" -f463d1e8170da42bbd133bdded847e2182814a15,Ability of neural network to detect and recognize of faces images in noisy environment,"Alexandria High Institute for Engineering & Technology, Egypt" f4c32b8bcf753033835c14a66e9c04b06bf086a3,Compound local binary pattern (CLBP) for robust facial expression recognition,"Department of CIT, Islamic University of Technology, Gazipur, Bangladesh" f4c32b8bcf753033835c14a66e9c04b06bf086a3,Compound local binary pattern (CLBP) for robust facial expression recognition,"Department of CSE, Prime University, Dhaka, Bangladesh" f4c32b8bcf753033835c14a66e9c04b06bf086a3,Compound local binary pattern (CLBP) for robust facial expression recognition,"Samsung Bangladesh R & D Center Ltd, Dhaka, Bangladesh" @@ -6272,267 +3744,140 @@ f4f0eeb4321eacc723e750ad27bf4a9401f1bde0,Deep CNN with color lines model for unm f4f0eeb4321eacc723e750ad27bf4a9401f1bde0,Deep CNN with color lines model for unmarked road segmentation,"Indraprastha Institute of Information Technology Delhi, New Delhi 110020" f4bbe6831dd4eafe04dddf8eafd03a835c26b87f,Local features and sparse representation for face recognition with partial occlusions,"Dep. of Mathematics - University of Milan Via Saldini 50, I-20133 Milan - Italy" f4bbe6831dd4eafe04dddf8eafd03a835c26b87f,Local features and sparse representation for face recognition with partial occlusions,"Dep. of Computer Science - University of Milan Via Comelico 39, I-20135 Milan - Italy" -f4d6361e20be2e472ec064936966a02baf473412,3D face view generation from human drawn sketch: A review,"CSE, School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India" -f4d6361e20be2e472ec064936966a02baf473412,3D face view generation from human drawn sketch: A review,"School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India" -f4a9b4a3b680ff01e8e2ee7f532161905db91c25,Object segmentation with deep regression,"Institute of Deep Learning, Baidu, Inc., Beijing, 100085, China" -f4b7dc95389227baf0d3543d135fc2dbebf1c3f0,Principal component analysis based on block-norm minimization,"College of Computer and Information Sciences, Chongqing Normal University, Chongqing, China" f496c321dc171ddd1c0f280436fe40722e1b03ce,Using dominant sets for data association in multi-camera tracking,"University Ca' Foscari, Venezia Mestre, Italy" f496c321dc171ddd1c0f280436fe40722e1b03ce,Using dominant sets for data association in multi-camera tracking,"University Iuav of Venice, Venezia, Italy" df14ef329c575eac56e6429251a439fac8d67418,Detection of Stationary Foreground Objects Using Multiple Nonparametric Background-Foreground Models on a Finite State Machine,"Grupo de Tratamiento de Imágenes, Information Processing and Telecommunications Center (IPTC) and ETSI Telecomunicacioìn, Universidad Politécnica de Madrid, Madrid, Spain" dfa76da5eb2729059ef303cbc25e01ca30383615,Genetic & Evolutionary Type II feature extraction for periocular-based biometric recognition,"CASIS at the Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27411, USA" dfa76da5eb2729059ef303cbc25e01ca30383615,Genetic & Evolutionary Type II feature extraction for periocular-based biometric recognition,"CASIS at Clemson University, Clemson, SC 29634, USA" -df869aca65cdbcdcc54fdb05e44c62f2b3d006b0,A supervised neighborhood preserving embedding for face recognition,"School of Computer Science and Technology& Provincial key Laboratory for Computer information processing technology Soochow University Suzhou 215006, Jiangsu, China" -df3d85ecf8e326774cab59aab75b572fcf9767cc,The novel part-based cascaded regression algorithm research combining with pose estimation,"State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, China" -df3d85ecf8e326774cab59aab75b572fcf9767cc,The novel part-based cascaded regression algorithm research combining with pose estimation,"College of Information Science and Technology, Hainan University, Haikou, China" -df3d85ecf8e326774cab59aab75b572fcf9767cc,The novel part-based cascaded regression algorithm research combining with pose estimation,"College of Ocean Information Engineering, Hainan Tropical Ocean University, Sanya, China" -df7d35c1876a22f563fb358724e9d02825ba7476,Robust real-time pedestrian detection in surveillance videos,"MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, -Budapest, Hungary" df7d35c1876a22f563fb358724e9d02825ba7476,Robust real-time pedestrian detection in surveillance videos,"Department of Material Handling and Logistics Systems, Budapest University of Technology, Budapest, Hungary" df6216785f64c2c191df4d07012cc1a9f339cc26,Robot 2015: Second Iberian Robotics Conference,"Info Syst Dept;Campus de Azurém, University of Minho, Guimarães, Portugal" df6216785f64c2c191df4d07012cc1a9f339cc26,Robot 2015: Second Iberian Robotics Conference,"Electrical and Computer Engineering Dept, University of Porto, Porto, Portugal" df6216785f64c2c191df4d07012cc1a9f339cc26,Robot 2015: Second Iberian Robotics Conference,"Instituto Superior Tecnico - Torre Norte, University of Lisboa, Lisboa, Portugal" df6216785f64c2c191df4d07012cc1a9f339cc26,Robot 2015: Second Iberian Robotics Conference,"Engineering Dept., E. Ada Byron, Univ of Zaragoza, Computer & Systems, Zaragoza, Spain" -df6216785f64c2c191df4d07012cc1a9f339cc26,Robot 2015: Second Iberian Robotics Conference,"Automatic Control and Systems Eng. Dept., University of Malaga, Superior Technical, Málaga, Spain" df6934f32d0b9810ba29a8155a7712ed1155cf9b,Tracklet and Signature Representation for Multi-Shot Person Re-Identification,"University of Gabes National Engineering School of Gabes, Tunisia" df6934f32d0b9810ba29a8155a7712ed1155cf9b,Tracklet and Signature Representation for Multi-Shot Person Re-Identification,"2004 Route des Lucioles -BP93 Sophia Antipolis Cedex, 06902, France" df6934f32d0b9810ba29a8155a7712ed1155cf9b,Tracklet and Signature Representation for Multi-Shot Person Re-Identification,"Laboratory of Electronics and Information Technology (LETI), National Engineering School of Sfax, Sfax, B.P.W.3038, Tunisia" -df550cb749858648209707bec5410431ea95e027,Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification,"School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China" -dfdb4641fd3c5e559e8a850f7059a2ca646a4bc1,MapReduce-based clustering for near-duplicate image identification,"School of Information and Technology, Northwest University of China, Xi’an, China" dfdb4641fd3c5e559e8a850f7059a2ca646a4bc1,MapReduce-based clustering for near-duplicate image identification,"Department of Computer Science, UNC-Charlotte, Charlotte, USA" df55a31d2192d86bdda5eb7a0f4cea07e7e5df6e,FPGA-Based Parallel Hardware Architecture for Real-Time Image Classification,"Department of Computer Engineering, American University of Sharjah (AUS), Sharjah, United Arab Emirates" df3a01b4a962e3657cf9126cbceaf14899852499,Reflectance spectra based skin and non-skin classification,"Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France" df3a01b4a962e3657cf9126cbceaf14899852499,Reflectance spectra based skin and non-skin classification,"Ecole Centrale de Lyon, ICJ UMR5208, F-69134, France" df3a01b4a962e3657cf9126cbceaf14899852499,Reflectance spectra based skin and non-skin classification,"Ecole Centrale de Lyon, LTDS UMR5513, F-69134, France" -df1b3b429b97b34df4ee8a11c921ced410cd5372,Advances in face detection techniques in video,"P.G. Department of Computer Science and Engineering, SGB Amravati University, Amravati (M.S.), India" df1a10668eaad727ec3fdf0d5df405bbe29392c9,Face recognition with expression variation via robust NCC,"National University of Science & Technology, (NUST), College of EME, Rawalpindi, Pakistan" df112f7435fff4b8f073be9d2315cb2c1e211176,Performance evaluation of an improved relational feature model for pedestrian detection,"Cogvis GmbH, Wiedner Hauptstrasse 17/3a, A-1040 Vienna" -df527756b33d1c2722bd005b246f7df75ea0520a,Selective deep ensemble for instance retrieval,"Shenzhen Key Laboratory of Media Security, Shenzhen University & Guangxi Key Laboratory of Cryptography and Information Security , Shenzhen and Guilin, China" dfd94ec697ca1f16b5171e884626f014d2bcd754,Sparse structure regularized ranking,"New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, Buffalo, USA" dfd94ec697ca1f16b5171e884626f014d2bcd754,Sparse structure regularized ranking,"Department of Microbiology and Immunology, Department of Computer Science and Engineering, Department of Biostatistics, University at Buffalo, The State University of New York, Buffalo, USA" df2899462e04559c024a773d91f6e06c262e136b,Compressed-domain video classification with deep neural networks: “There's way too much information to decode the matrix”,"University College London (UCL), Electronic and Electrical Engineering Department, London, U.K." df2899462e04559c024a773d91f6e06c262e136b,Compressed-domain video classification with deep neural networks: “There's way too much information to decode the matrix”,"Dithen, London, U.K." -df3668d32dbd32ddce651a535fa46a7b060d8d6d,Robust 3D human tracking based on Kinect,"School of Information Science and Engineering, Shandong University Jinan, China, 250100" -df3668d32dbd32ddce651a535fa46a7b060d8d6d,Robust 3D human tracking based on Kinect,"College of Physics and Electronics, Shandong Normal University, Jinan, China, 250014" df51bca592fb045c50a143a6659ea847ee9e34b1,Acquisition of a Face Database for Video Surveillance Research,"University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia. E-mail: bozidar.klimpak@gmail.com" df51bca592fb045c50a143a6659ea847ee9e34b1,Acquisition of a Face Database for Video Surveillance Research,"University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia" dfbd1f1392720fb3a2ae149a3de66ee53a5bd073,Semi-supervised multi-feature learning for person re-identification,"ISR - Instituto Superior Técnico, Lisboa, Portugal" -dfbdb4787091f71d27ba6d1e2bbc19b8e160954d,Driver yawning detection based on long short term memory networks,"Shanghai University of Engineering Science, Shanghai, China" 56a4834972eaafa94d4037483704638a4314e516,Visual model structures and synchrony constraints for audio-visual speech recognition,"Comput. Sci. & Artificial Intelligence Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA" 569988e19ab36582d4bd0ec98e344cbacf177f45,Affective Visual Perception Using Machine Pareidolia of Facial Expressions,"School of Electrical Engineering and Computer Science at the University of Newcastle, Callaghan, NSW 2308, Australia" 569988e19ab36582d4bd0ec98e344cbacf177f45,Affective Visual Perception Using Machine Pareidolia of Facial Expressions,"School of Mathematical and Physical Sciences at the University of Newcastle, Callaghan, NSW 2308, Australia" -565590af15af3d02f0b592b2e201e36708e4fe50,Biometric recognition system for challenging faces,"Electronics and Communication Sciences Unit, Indian Statistical Institute, India" 56bcc89fb1e05d21a8b7b880c6b4df79271ceca5,Segmented face approximation with adaptive region growing based on low-degree polynomial fitting,"Department of Telecommunications and Information Processing, Image Processing and Interpretation, UGent/iMinds, Ghent, Belgium" 5677e80cd3f3924ff4bbade111d012c313b15d86,Human Tracking Using Convolutional Neural Networks,"NEC Laboratories America, Inc., Cupertino, CA, USA" -56fa0872ed73f7acfbfe83677fecb2dbc6eaa2fe,Performance evaluation of incremental training method for face recognition using PCA,"Department of Computer Science and Engineering, JNTU College of Engineering, Kakinada, India" -56fa0872ed73f7acfbfe83677fecb2dbc6eaa2fe,Performance evaluation of incremental training method for face recognition using PCA,"Department of Physics, JNTU College of Engineering, Kakinada, India" -56fa0872ed73f7acfbfe83677fecb2dbc6eaa2fe,Performance evaluation of incremental training method for face recognition using PCA,"Department of Electronics and Communication Engineering, JNTU College of Engineering, Hyderabad, India" 56a1cdad6b78c053085f8676bd7f5b8eb5e05435,POSTER: Exploiting asymmetric multi-core processors with flexible system software,"Barcelona Supercomputing Center, Spain" 56a1cdad6b78c053085f8676bd7f5b8eb5e05435,POSTER: Exploiting asymmetric multi-core processors with flexible system software,"ARM, Austin, Texas, United States of America" -56ffa7d906b08d02d6d5a12c7377a57e24ef3391,Painful data: The UNBC-McMaster shoulder pain expression archive database,Disney Research Pittsburgh 56ffa7d906b08d02d6d5a12c7377a57e24ef3391,Painful data: The UNBC-McMaster shoulder pain expression archive database,Department of Psychology at the University of Northern British Columbia -5633425e52156c8d5824d033103b237b1e579539,Eye localization for embedded system,"Department of Automation, Shanghai Jiaotong University, Shanghai 200240" -56cbfa23b9a60320fc0f8365991544f015a610b3,Feature selection via dimensionality reduction for object class recognition,"Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia" 56cbfa23b9a60320fc0f8365991544f015a610b3,Feature selection via dimensionality reduction for object class recognition,"School of Computer Sciences, Universiti Sains Malaysia, Malaysia" -5646fb8250f8c900e5f281665089363abcfbac8a,Hough Forest-based Association Framework with Occlusion Handling for Multi-Target Tracking,"Hubei Key Laboratory of Intelligent Wireless Communications, South-central University for nationalities, Wuhan, China" -561bbc758f995894f43351b4267abf9748890705,Expression feature extraction based on difference of Local Binary Pattern histogram sequences,"College of Information and Control Engineering, China University of Petroleum (East China), Dongying 257061, China" -56370ddb77e57c212e562b600d9299ef0b28184b,FOVEA: A video frame organizer via identity extraction and analysis,"Dipartimento di Informatica, Sapienza Università di Roma, Via Salaria 113, 00198, Roma" -56370ddb77e57c212e562b600d9299ef0b28184b,FOVEA: A video frame organizer via identity extraction and analysis,"Biometric and Image Processing Laboratory, Università di Salerno, Via Ponte don Melillo, Fisciano, 84084, Salerno" -560b3895591d7b1631122b995a5c20889b1abd3d,Abnormal human action recognition using average energy images,"Department of ECE, Delhi Technological University, Delhi, India" -5696e95cb9538fe5f5cc27cd47543b62761021b7,A loss combination based deep model for person re-identification,"General Design Institute, Zhejiang Sci-Tech University, Hangzhou, China" 5638516780883fa91827ed095fe2ace103a2f941,Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos,"University of Leeds Leeds, UK" 568d65d0d8ff878ada581885e94eebb9ca96fa59,Local descriptors based face recognition engine for video surveillance systems,"Brno University of Technology, Faculty of Electrical Engineering and Communication, Technicka 12, 612 00 Brno, Czech Republic" -56917004d3cc3aca5668305fb33ddda4855dd519,Boosting the Priority of Garbage: Scheduling Collection on Heterogeneous Multicore Processors,"Ghent University and Vrije Universiteit Brussel, Belgium" 56917004d3cc3aca5668305fb33ddda4855dd519,Boosting the Priority of Garbage: Scheduling Collection on Heterogeneous Multicore Processors,"Intel Corporation, Kontich, Belgium" -56f591b13087b8846c63b5a13e7eada93e25f16f,"Vehicle Detection, Tracking and Behavior Analysis in Urban Driving Environments Using Road Context","Singapore-MIT Alliance for Research and Technology, Singapore" 8cce8fe25effa5c9451e2496b4659ec0f8eccf1c,Multiple histogram-based face recognition with high speed FPGA implementation,"Department of Electrical and Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates" 8cce8fe25effa5c9451e2496b4659ec0f8eccf1c,Multiple histogram-based face recognition with high speed FPGA implementation,"Hasan Kalyoncu University, Gaziantep, Turkey" -8c048be9dd2b601808b893b5d3d51f00907bdee0,Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial dynamics,"Engineering Lab on Intelligent Perception for Internet of Things, Peking University Shenzhen Graduate School, Shenzhen, China" 8c048be9dd2b601808b893b5d3d51f00907bdee0,Spontaneous versus posed smile recognition via region-specific texture descriptor and geometric facial dynamics,"Department of Computer Science, Christian-Albrechts University, Kiel, Germany" -8c00fe016755483f63c96b5530d259bf815c9d29,"SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition","National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China" -8cc1e76ffcc34b7afa8b7e3c5a2339cf88699868,Person re-identification by deep MAX pooling network,"Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China" -8c4af01a8b6553aa047b2446a4ccd4a92a9218ea,Multi-scale energy optimization for object proposal generation,"College of Computer and Control Engineering, Nankai University, Tianjin, China" -8cdc9bb623bf7e587c8ffb9561aaab9a7e1f0a95,Action-vectors: Unsupervised movement modeling for action recognition,"Visual Learning and Intelligence Group (VIGIL), Department of Computer Science and Engineering, India" -8cdc9bb623bf7e587c8ffb9561aaab9a7e1f0a95,Action-vectors: Unsupervised movement modeling for action recognition,"Department of Electrical Engineering, India" 8cac1f5c0c5786af6ff53c1b50fa85e7213ead13,"Biometric interoperability across training, enrollment, and testing for face authentication","University of Salerno, Via Ponte don Melillo, 84084 Fisciano, Salerno" -8cedb92694845854f3ad0daf6c9adb6b81c293de,Products appreciation by facial expressions analysis,"Delft University of Technology and Sensor Technology, Netherlands Defense Academy" -8c98e81895fb00a0eb91dae680b2384c9d3526f8,Fast and Light Manifold CNN based 3D Facial Expression Recognition across Pose Variations,"Beihang University; LIRIS, Ecole Centrale de Lyon, Beijing, China" -8c5cf18c456957c63248245791f44a685e832345,Implementation of perceptual resemblance of local plastic surgery facial images using Near Sets,"Department of Computer Technology, YCCE Nagpur, India" 8c23b3ed3344569b74bdebd4bb4aa17eb7b509eb,Smart Phone Based Facial and Text Recognition Application (RICO),"Department of Electrical and Computer Engineering, American University of Kuwait" 8c2233d763deb01761abe72b9b3dbb0b115916d3,Deep Modeling of Human Age Guesses for Apparent Age Estimation,"Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, 02881" -8c6d1ad5ef6bccb921b8f26e8ac718721cb037a5,Fusion Scheme for Semantic and Instance-level Segmentation,"Computer Science Department, Technical University of Cluj-Napoca, Image Processing and Pattern Recognition Group, Romania" -8cc56d82787069ca91ac6bb8133e15da6dfe564c,Multiple person tracking based on slow feature analysis,"Tianjin Key Laboratory of Animal and Plant Resistance/College of Life Sciences, Tianjin Normal University, Tianjin, China" -8cc56d82787069ca91ac6bb8133e15da6dfe564c,Multiple person tracking based on slow feature analysis,"Tianjin Bohai Fisheries Research Institute, Tianjin, China" -8c3a7bb72c59628e9b7982d90525ff9654854946,HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition,"College of Computer and Communication Engineering, China University of Petroleum, Qingdao, China" -8c3a7bb72c59628e9b7982d90525ff9654854946,HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition,"School of Information Science and Technology, Northwest University, Xi’an, China" -8cded4bbe4202ee81c2b75ebe27f839c87b0755e,Objectness to improve the bag of visual words model,"Department of Computer Science, University of Bucharest, 14 Academiei Street, Bucharest, Romania" -866dd3a16e035a7c724f8ec02d26e45655f7a002,Human tracking using TLD with Automatic Initiation,"School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China" 86824ba374daff17ff2235484055b3bb9c464555,S-CNN: Subcategory-Aware Convolutional Networks for Object Detection,"Visual Computing Department, Agency for Science Technology and Research, Singapore" 86824ba374daff17ff2235484055b3bb9c464555,S-CNN: Subcategory-Aware Convolutional Networks for Object Detection,"Satellite Department, Agency for Science, Technology and Research, Singapore" 8681f43d3e28bbdcc0c36e2d5afc6e1b192e735d,ICP-based pose-graph SLAM,"LAAS-CNRS, INSA, Université de Toulouse, CNRS, Toulouse, France" 8676167c1b45dff6fd9a35bfb1d3d326eafb6480,3D face recognition: A robust multi-matcher approach to data degradations,"LIRIS(UMR CNRS 5205) Ecole Centrale de Lyon, France" 8676167c1b45dff6fd9a35bfb1d3d326eafb6480,3D face recognition: A robust multi-matcher approach to data degradations,"EURECOM Sophia Antipolis, France" -8676167c1b45dff6fd9a35bfb1d3d326eafb6480,3D face recognition: A robust multi-matcher approach to data degradations,"LIFL (UMR Lille1/CNRS 8022) Telecom Lille1, Université de Lille1, France" 8676167c1b45dff6fd9a35bfb1d3d326eafb6480,3D face recognition: A robust multi-matcher approach to data degradations,"THALES-TRT 91767 Palaiseau, France" -868ef52174a7daa12798a931b27b9b270b0ce0fc,Face recognition based on dictionary learning and kernel sparse representation classifier,"Dept. School of Information Science and Engineering, East China University of Science and Technology Shanghai, China" -868ef52174a7daa12798a931b27b9b270b0ce0fc,Face recognition based on dictionary learning and kernel sparse representation classifier,"Dept. Henan Chemical Industry Vocational College, Henan University of Technology, Zhengzhou, China" -86397e61de89beecc5ab675bbd1aa1c48ae889a8,Aggregating Deep Convolutional Feature Maps for Insulator Detection in Infrared Images,"NetEase, Hangzhou, China" 86844b7b10996bcd32db53f2b551e552f9ac1ce8,Human detection in uncluttered environments: From ground to UAV view,"Université Technologique de Compiègne, 60200 Compiègne, France" -86ec0e331dd494533e16dd638661463b7e03edb7,Image representation based PCA feature for image classification,"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, 350121, China" -866aec1ac5e1242132b4dd7b2c9a2b70ca8a4583,DCAR: A Discriminative and Compact Audio Representation for Audio Processing,"College of Information Science and Technology, Agricultural University of Hebei, Hebei, China" 866aec1ac5e1242132b4dd7b2c9a2b70ca8a4583,DCAR: A Discriminative and Compact Audio Representation for Audio Processing,"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA" -86e040f940f4b6399aaf41eb3f86b3cb948ee7dc,Tracklet association based multi-target tracking,"School of Automatic, Nanjing University of Posts and Telecommunications, Nanjing, China" -861a832b87b071a5d479186bbb2822f9ddbb67e4,Name-face association with web facial image supervision,"School of Computer Science, Hunan University of Technology, Hunan, China" 862234d7e26aed33cd5287be256cd9ec23b0b489,Detection of eyes by circular Hough transform and histogram of gradient,"Graduate School of Engineering, Mie University" -8613fef2738325a5697e253276b160099100528d,Time-varying LSTM networks for action recognition,"Nanjing University of Posts and Telecommunications, Nanjing, China" -8613fef2738325a5697e253276b160099100528d,Time-varying LSTM networks for action recognition,"Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing, China" 86056abdd2f2dabfd733227196d633166793f7dd,Situation recognition using image moments and recurrent neural networks,"Department of Computer Science, Abdul Wali Khan University, Mardan, Pakistan" 865e9346b05f14f9bf85c1522c5aebe85420a517,A Scalable Projective Scaling Algorithm for $l_{p}$ Loss With Convex Penalizations,"Department of Computer Science, Southern Illinois University Carbondale, IL, USA" 8660575ad46621b25daf7ca356b2d7c4f461e982,Dense point-to-point correspondences between 3D faces with large variations for constructing 3D Morphable Models,"Institute for Human-Machine Communication Technische Universitat Munchen, Germany" 86d1fbaecd02b44309383830e6d985dc09e786aa,A data-driven approach for facial expression synthesis in video,Adobe Systems 865dd23274e95d947286bf34f6f06198cde3457e,An Empirical Comparison of DCNN libraries to implement the Vision Module of a Danger Management System,"Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Guayaquil, Ecuador" -86aad14460b12536985620c6de043d4c11485444,Smooth sparse representation for noise robust face super-resolution,"China University of Geosciences, China" -86aad14460b12536985620c6de043d4c11485444,Smooth sparse representation for noise robust face super-resolution,"Wuhan Institute of Technology, China" 86dac8e830702e720880bc62d5c1d835fbaf477b,World-wide scale geotagged image dataset for automatic image annotation and reverse geotagging,"Université Lyon, Villeurbanne, France" 86dac8e830702e720880bc62d5c1d835fbaf477b,World-wide scale geotagged image dataset for automatic image annotation and reverse geotagging,"Universität Passau, Passau, Germany" a84ff30b8110561dc1c584e55ba56a991941b3bf,Quaternion-based Local Binary Patterns for illumination invariant face recognition,"Départment d'Informatique, Université de Sherbrooke, QC, Canada J1K 2R1" -a8f92b47df845b437dbf10b828a742006b75fd27,Flexible tracklet association for complex scenarios using a Markov Logic Network,"ONERA - The French Aerospace Lab, F-91761 Palaiseau, France" a8385939ed0629d39d25053447f80a126627c307,Elucidating the neural correlates of related false memories using a systematic measure of perceptual relatedness,"The Department of Psychology, The Pennsylvania State University, 450 Moore Building, University Park, PA 16802, USA" -a86479f15fb728b29f98c9adfbc6b06a3d3c83fc,Intensified regularized discriminant analysis technique,"Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India" a8c53c57cd0f4757ca07c9f1d0870cedadbd2f7b,A Fuzzy Approach to Skin Color Detection,"Specialized Processor Architectures Lab Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain" -a815bdb576d8b3b85c2671c58c6263fe07f25fa6,Multi-modality face recognition: An information theoretic approach,"Department of Information and Communication Technology, Manipal Institute of Technology, Manipal University, Karnataka-576104, India" -a815bdb576d8b3b85c2671c58c6263fe07f25fa6,Multi-modality face recognition: An information theoretic approach,"Centre for Artificial and Machine Intelligence, Manipal University, Karnataka-576104, India" -a8c8b7360c45e25ed175828767424bf9690af322,Face 3D biometrics goes mobile: Searching for applications of portable depth sensor in face recognition,"Biometric Laboratory, Research and Academic Computer Network (NASK), Wąwozowa 18, Warsaw, Poland" a88ca6e81e04b737ee6a416263d305db06de72c6,A Survey on Gait Recognition,Syracuse University -a8c6954ae821f846cedc50a86e2095a20ef454c8,Human-autonomy sensor fusion for rapid object detection,"Sensors & Electron Devices Directorate, Army Research Laboratory, Adelphi, MD, USA" a8c6954ae821f846cedc50a86e2095a20ef454c8,Human-autonomy sensor fusion for rapid object detection,"Human Research & Engineering Directorate, Army Research Laboratory, Aberdeen Proving Ground, MD, USA" a89c12bae45ec11742c50261d6e2505272369d41,Foreground Gated Network for Surveillance Object Detection,Zhejiang Provincial Key Laboratory for Network Multimedia Technologies a89c12bae45ec11742c50261d6e2505272369d41,Foreground Gated Network for Surveillance Object Detection,"Ministry of Education of China, Zhejiang University Embedded System Engineering Research Center" a8d3639b2548263201b84ff865fbb0626d8cbf3a,The Social Force PHD Filter for Tracking Pedestrians,"Defence Research and Development Canada, Ottawa, ON, Canada" a8bed0a96d9ad3e5c7ecbaaf2a8967e034e72cb3,Early and late integration of audio features for automatic video description,"Mitsubishi Electric Research Laboratories (MERL), 201 Broadway, Cambridge, MA 02139, USA" -a8415394b782e45ac92a7d36f4af3cad47602b25,A Deep Reconstruction CNN for Illumination-robust Face Image Recovery and Recognition,"Key Laboratory of Optoelectronic Technology and Systems, MOE Chongqing University Chongqing, China" -a8415394b782e45ac92a7d36f4af3cad47602b25,A Deep Reconstruction CNN for Illumination-robust Face Image Recovery and Recognition,"Artiricial Intelligence Key Laboratory of Sichuan Sichuan, University of Science and Engineering, Zigong, Sichuan, China" a8c4ad6a2e0ee88ca2b1f017c65c31ef6a243657,"Data heterogeneity, characterization, and integration in the context of autonomous vehicles","Department of Electrical and Computer Engineering, Kettering University, Flint, Michigan, USA" a8e785333eda0b3041c7b331ee76164f563fba7d,Face Demorphing,"Department of Computer Science and Engineering, University of Bologna, Cesena, Italy" a81d3be2fecbfdff8ed1d04dc6659fd7143d9cd2,Signal classification based on block-sparse tensor representation,"Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, GU2 7XH, UK" a894c3f61b79efed2389eaa3b9744b0427087f56,Multi-label approach for human-face classification,"School of Computer Science, Xinjiang Normal University, No. 102 Xin Yi Rd, Urumqi, 830054" a88ced67f4ed7940c76b666e1c9c0f08b59f9cf8,Towards view-invariant expression analysis using analytic shape manifolds,"Center for Automation Research, UMIACS University of Maryland, College Park, MD 20742" a86f388811dcd726239b01b317389743e5896e50,Subject-Specific and Pose-Oriented Facial Features for Face Recognition Across Poses,"MediaTek Inc., Hsinchu, Taiwan" -a8c00babbec804b4e236400459e26cab1e035d42,3D Traffic Scene Understanding From Movable Platforms,"MPI for Intelligent Systems, Tübingen, Germany" a8c00babbec804b4e236400459e26cab1e035d42,3D Traffic Scene Understanding From Movable Platforms,"MPI for Informatics, Saarbrücken, Germany" a84d6c761fbbc66a3d6e0a5ab8a1dcfc944f6753,Learning a model of facial shape and expression from 4D scans,University of Southern California and Max Planck Institute for Intelligent Systems -a84d6c761fbbc66a3d6e0a5ab8a1dcfc944f6753,Learning a model of facial shape and expression from 4D scans,Max Planck Institute for Intelligent Systems -a84d6c761fbbc66a3d6e0a5ab8a1dcfc944f6753,Learning a model of facial shape and expression from 4D scans,University of Southern California and USC Institute for Creative Technologies a8b674f17d8d8c7d5e4ff701c3525db2ffa1803d,Ballistocardiographic Artifacts in PPG Imaging,"Philips Innovation Group, Philips Research" -4e16ddbf532374b811b7907219c9d35c4ae276ef,Locally linear representation Fisher criterion,"School of Computer Science and Technology, Wuhan University of Science and Technology, 947 Heping road, 430081, Wuhan, China" -4e16ddbf532374b811b7907219c9d35c4ae276ef,Locally linear representation Fisher criterion,"Institute of Automation, Chinese Academy of Science, 95 Zhongguancun East Road, 100190, Beijing, China" 4e09aa735d3f0514a5dd43bafa6a1515dfe76e9e,Distributed Video Surveillance Using Smart Cameras,"Information Science and Technologies Institute, National Research Council (ISTI-CNR), Pisa, Italy" -4e490cf3cf26fe46507bb55a548c403b9c685ba0,Thermal Analysis of Facial Muscles Contractions,"Cogimage CRICM-UPMC/INSERM UMR-S975/CNRS UMR7225, Paris" 4e490cf3cf26fe46507bb55a548c403b9c685ba0,Thermal Analysis of Facial Muscles Contractions,"Firmenich SA, Geneva" 4e490cf3cf26fe46507bb55a548c403b9c685ba0,Thermal Analysis of Facial Muscles Contractions,"University Medical Center (CMU), Geneva" -4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d,A proposed method for the improvement in biometric facial image recognition using document-based classification,"Department of Electronics and Communication Engineering, Institute of Road and Transport Technology, Erode, India" -4ef09fe9f7fa027427414cf1f2e9050ac7f5e34d,A proposed method for the improvement in biometric facial image recognition using document-based classification,"Department of Electronics and Communication Engineering, P.P.G. Institute of Technology, Coimbatore, India" -4e082299ae5b9808956dbd52c94e36da5820aa04,Object categorization using self-organization over visual appearance,"Department of Information Technology, Lappeenranta University of Technology, P.O.Box 20, FIN-53851 Lappeenranta, FINLAND, email: ilonen@lut.fi" 4ee8186424af4beb4f2dcc174429d5d52353b566,Automatic Visual Bag-of-Words for Online Robot Navigation and Mapping,"Computer Vision and Robotics Group , University of Girona, Girona, Spain" 4e510ca3e5811026a2853390b926633779446228,Adaptive Tuning of Photonic Devices in a Photonic NoC Through Dynamic Workload Allocation,"Department of Computer Science, Catholic University of Murcia, Murcia, Spain" 4e510ca3e5811026a2853390b926633779446228,Adaptive Tuning of Photonic Devices in a Photonic NoC Through Dynamic Workload Allocation,"Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA, USA" 4e510ca3e5811026a2853390b926633779446228,Adaptive Tuning of Photonic Devices in a Photonic NoC Through Dynamic Workload Allocation,"Department of Computer Science and Engineering and the Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA" -4ecb93ffa3c3b195664ee6d627fd6e46f6798e73,Investigation of local and global features for face detection,"Center for Electrical Engineering and Informatics, Federal University of Campina Grande, Paraíiba, Brazil" 4ecb93ffa3c3b195664ee6d627fd6e46f6798e73,Investigation of local and global features for face detection,"Multimedia Interaction and Understanding Lab, Hewlett-Packard Laboratories, Palo Alto, California, USA" 4e6fe1ba927fe81a6f4529ea27985cc9431ed357,Voting Among Virtually Generated Versions of a Classification Problem,"Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee , Milwaukee, WI, USA" 4e5be940b2b58247fd90552b4a2a72b841ed03e1,Evaluation of vision-based real-time measures for emotions discrimination under uncontrolled conditions,"LIMSI-CNRS, Orsay, France" -4e6d820c59c4a8f921e60cf78dc657d2a4ff6cac,Combining dynamic texture and structural features for speaker identification,"Tampere University, Finland, Tampere, Finland" -4e2ad2fb548e9197feed11f03ec4741ebed81d44,Person re-identification based on saliency,"Nanjing University of Posts and Telecommunications, 210046, China" 4e3b71b1aa6b6cb7aa55843d2214441f0076fe69,Colour-based lips segmentation method using artificial neural networks,"IT Department, Mutah University, Karak, Jordan, 61710" -4ef8462d844f92569b94d92d5a6f5c267a3a7304,Spontaneous Expression Recognition Using Universal Attribute Model,"Department of Computer Science and Engineering, Visual Learning and Intelligence Group, IIT Hyderabad, Hyderabad, India" 4e83df2bf849eb6af24bf919ddc7bb25c7249c39,Fusion that matters: convolutional fusion networks for visual recognition,"Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands" -4e43408a59852c1bbaa11596a5da3e42034d9380,Efficient facial expression recognition using histogram of oriented gradients in wavelet domain,"Computer Science and Engineering Department, SP Memorial Institute of Technology, Kaushambi, India" -4e43408a59852c1bbaa11596a5da3e42034d9380,Efficient facial expression recognition using histogram of oriented gradients in wavelet domain,"Department of Computer Science, Banasthali Vidyapith, Banasthali, India" 4eb8376dcf9b251fffa238db8d78003c9a7aed3f,Recommending most popular travel path within a region of interest from historical trajectory data,"Bangladesh University of Engineering and Technology, Dhaka, Bangladesh" -4e80d124692d00a88a32559c920579ce80c50a3c,Pedestrian gender classification using combined global and local parts-based convolutional neural networks,"Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kajang, Malaysia" -4eb2d6699c17cebad1ccf58014cab271a56032a0,Action detection in office scene based on deep convolutional neural networks,"Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China" 4eef479499b6c3baa546b9070fa890e11ec432bc,3D facial expression recognition using SIFT descriptors of automatically detected keypoints,"Dipartimento di Sistemi e Informatica, University of Firenze, Firenze, Italy" 4eef479499b6c3baa546b9070fa890e11ec432bc,3D facial expression recognition using SIFT descriptors of automatically detected keypoints,"Institut TELECOM, TELECOM Lille 1, LIFL (UMR 8022), Lille, France" 4e626b2502ee042cf4d7425a8e7a228789b23856,Aspects of Age Variation in Facial Morphology Affecting Biometrics,University of North Carolina Wilmington. pattersone@uncw.edu 4e626b2502ee042cf4d7425a8e7a228789b23856,Aspects of Age Variation in Facial Morphology Affecting Biometrics,University of North Carolina Wilmington. sethurama@uncw.edu 4e626b2502ee042cf4d7425a8e7a228789b23856,Aspects of Age Variation in Facial Morphology Affecting Biometrics,University of North Carolina Wilmington. albertm@uncw.edu 4e626b2502ee042cf4d7425a8e7a228789b23856,Aspects of Age Variation in Facial Morphology Affecting Biometrics,University of North Carolina Wilmington. ricanekk@uncw.edu -4e626b2502ee042cf4d7425a8e7a228789b23856,Aspects of Age Variation in Facial Morphology Affecting Biometrics,"Intelligence Technology Innovation Center, Washington, DC. king@biometrics.org" 4e880a6f35844ffb16bbb1baedcc75ffac8dafaa,Introduction to Deep Learning Business Applications for Developers,"Linköping, Sweden" -4e880a6f35844ffb16bbb1baedcc75ffac8dafaa,Introduction to Deep Learning Business Applications for Developers,"Coimbra, Portugal" -37d18c386548277a6c94d221f0de7f24da7bb8ae,A discriminative graph inferring framework towards weakly supervised image parsing,"Institute of Automation, Chinese Academy of Science, Beijing, China" -37acfccfa44747f956e4c0c56aa7ed5cd5ecdb85,Vers des Agents Conversationnels Animés Socio-Affectifs,"CNRS-LTCI, Télécom ParisTech, Paris, France" 378e36386f8a19efe1a7852bb063f0378005a36b,Lane marking based vehicle localization using particle filter and multi-kernel estimation,"Université Paris-Sud, Institut d'Electronique Fondamentale, UMR8622, Orsay, F-91405, CNRS, Orsay, F-91405" 373d33254f6f57de1203b1a7b76f9bc95b827a3c,Recognizing Hand-based Actions based on Hip-Joint centered Features using KINECT,"Department of Computer Science and Engineering, DIU Human Computer Interaction Research Lab (HCI RL), Daffodil International University" -37f075b425b5cabc9de37400792b87520f8ef226,Learning rich features from objectness estimation for human lying-pose detection,"School of Urban Planning and Landscaping, Xuchang University, Xuchang, China" -37f075b425b5cabc9de37400792b87520f8ef226,Learning rich features from objectness estimation for human lying-pose detection,"The UAVLARS Collaborative Innovation Center, Xuchang University, Xuchang, China" 378418fdd28f9022b02857ef7dbab6b0b9a02dbe,Intelligent Information and Database Systems,"Wrocław University of Science and Technology, Wrocław, Poland" 378418fdd28f9022b02857ef7dbab6b0b9a02dbe,Intelligent Information and Database Systems,"Quang Binh University, Dong Hoi City, Vietnam" 37cf5f0d62f064d05239dfd62e768631eafeca08,Lip-movement based speaker recognition using fusion of canonical angles,"Graduate School of Informatics and Engineering, University of Electro-Communications 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan" 377c328e833b690f4788810e9877c80badc9b199,Distributed face recognition using collaborative judgement aggregation in a swarm of tiny wireless sensor nodes,"Department of Computing, The University of the West Indies, Mona Campus, Jamaica" 3774ffc9523b8f4a148d5e93eaae317dc18af3e6,Use of facial landmarks for adaptive compression of videos on mobile devices,IBM Research India -3753b9fcf95b97e2baf952993905cd6dfa8561cb,A discriminant nonnegative tensor factorization method based on sparse representation classifier,"Information Center of the General Administration of Quality Supervision Inspection and Quarantine of the People's Republic of China, Beijing, China" 37308828f9a57fa92c9f99c0f314fda08c310472,Algorithm for face and eye detection using colour segmentation and invariant features,"Technical University of Iaşi, Faculty of Electrical Engineering" 37308828f9a57fa92c9f99c0f314fda08c310472,Algorithm for face and eye detection using colour segmentation and invariant features,"Institute of Technology of Châteauroux, University of Orleans" 373f0b02f61b1256d6df39979f1317d747195a25,Automatic Registration of Vertex Correspondences for 3D Facial Expression Analysis,"Department of Computer Science, State University of New York at Binghamton. Binghamton, NY, 13902; IBM at Endicott, NY." -37866fea39deeff453802cde529dd9d32e0205a5,"Sense beauty via face, dressing, and/or voice","National Laboratory of Pattern Recognition, Beijing, China" -378eb402cda5928e43644a8859be255cb3ee69dc,Lane Detection Based on Straight Line Model and K-Means Clustering,"College of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China" -378eb402cda5928e43644a8859be255cb3ee69dc,Lane Detection Based on Straight Line Model and K-Means Clustering,"Department of Rail Transit Engineering, Chongqing Vocational College of Transportation, Chongqing, 402247, China" -37191adce691000583f4ec7d805323514268f8dc,An autopilot system based on ROS distributed architecture and deep learning,"College of Command Information System, PLA University of Science and Technology, Nanjing 210000, China" -ec06832fe5b4c0629648824414c9de1555e976d4,Incremental learning for bootstrapping object classifier models,"ENSTA ParisTech, UIIS Lab University of Paris-Saclay, 91762 Palaiseau, France" -ec983394f800da971d243f4143ab7f8421aa967c,D-FES: Deep facial expression recognition system,"Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal, India" -ec836d3239287400f17c06a230c2757def28fe3b,Maximizing Heterogeneous Processor Performance Under Power Constraints,"Ghent University, Zwijnaarde, Belgium" -ec836d3239287400f17c06a230c2757def28fe3b,Maximizing Heterogeneous Processor Performance Under Power Constraints,"Intel Belgium, Kontich, Belgium" ec836d3239287400f17c06a230c2757def28fe3b,Maximizing Heterogeneous Processor Performance Under Power Constraints,Nvidia Research -ec9976aae8042a6ebb8a823510c757a93b11737d,Future Access Enablers for Ubiquitous and Intelligent Infrastructures,"Politehnica University of Bucharest, Bucharest, Romania" -ec9976aae8042a6ebb8a823510c757a93b11737d,Future Access Enablers for Ubiquitous and Intelligent Infrastructures,"University Polytechnica of Bucharest, Bucharest, Romania" ec52f9e75ff172e290d552b639e1369ed75e2718,Local Binary Pattern features for pedestrian detection at night/dark environment,"Security & Safety Systems Development Office, Tokyo R&D Center, Panasonic Corporation" -ec52f9e75ff172e290d552b639e1369ed75e2718,Local Binary Pattern features for pedestrian detection at night/dark environment,Panasonic Singapore Laboratories Pte Ltd -ecbe33456daa76b27fe83eee8dbf7a0b827540ed,Intelligence and Security Informatics,"Virginia Tech, Blacksburg, USA" ec6b3d7ae26d241709df49734b4c1df9d2a27c48,Mental activity detection from EEG records using local binary pattern method,"Midyat Meslek Yüksekokulu Mardin Artuklu Üniversitesi Mardin, Türkiye" -ec6b3d7ae26d241709df49734b4c1df9d2a27c48,Mental activity detection from EEG records using local binary pattern method,"Elektrik-Elektronik Mühendisliği Dicle Üniversitesi Diyarbakir, Türkiye" -ecb08081539711766acec0d252da13be716ecae3,Multi-Objective Deep CNN for Outdoor Auto-Navigation,"School of Automation Guangdong University of Technology, Higher Education Mega Center, Guangzhou, China" -ec54daa878d9c58f16bbe3b929dc0c4999bc8ee7,MultiModal-database-XJTU: An available database for biometrics recognition with its performance testing,"Xi'an Jiaotong Univeristy Guangdong Province Shunde Research Insitute, Foshan, 528000, China" -ece76035af582c2e5ba321fd22d021d948f93e7a,Transfer learning based compressive tracking,"Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China" -ec3a4dadb9878769d5396483f6e04d9e0db2417d,"A Back Propagation Based Face Recognition Model, using 2D Symmetrical Gabor Features","Subex Azure Limited, Bangalore, India" -ec3a4dadb9878769d5396483f6e04d9e0db2417d,"A Back Propagation Based Face Recognition Model, using 2D Symmetrical Gabor Features","Department of Telecommunication, B.M.S College of Engineering, Bangalore, India" -ec3a4dadb9878769d5396483f6e04d9e0db2417d,"A Back Propagation Based Face Recognition Model, using 2D Symmetrical Gabor Features","Daimler Chrysler, Research and Technology, Bangalore, India" ecfb93de88394a244896bfe6ee7bf39fb250b820,Gender recognition from face images with deep learning,"Enformatik Bölümü Firat Üniversitesi Elaziğ, Türkiye" -ecfb93de88394a244896bfe6ee7bf39fb250b820,Gender recognition from face images with deep learning,"Elektrik-Elektronik Müh. Bölümü Teknoloji Fakültesi, Firat Üniversitesi Elaziğ, Türkiye" ecfb93de88394a244896bfe6ee7bf39fb250b820,Gender recognition from face images with deep learning,"Enerji Sistemleri Müh. Bölümü Teknoloji Fakültesi, Firat Üniversitesi Elaziğ, Türkiye" ec1a57e609eda72b4eb60155fac12db1da31f6c0,Probabilistic Linear Discriminant Analysis,"Fujifilm Software, San Jose, USA" -ecb4bab5296224bdedd389cf18748c2ff0050100,Online Action Tube Detection via Resolving the Spatio-temporal Context Pattern,"Peking University Shenzhen Graduate School, Shenzhen, China" ec21434615f72267d26d8e2d8cb7671561d26fc6,Visual Question Answering With a Hybrid Convolution Recurrent Model,"University of Augsburg, Augsburg, Germany" ec53d383fc61393c5e95299a5010296c63a67be7,Multi-object tracking using hybrid observation in PHD filter,"Gwangju Institute of Science and Technology, School of Information and Communications, Gwangju, Republic of Korea" -ec75a1c846194cfb0fd202694390c55e24a27728,A union of incoherent spaces model for classification,"Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland" ec49f49e518925782e64dae47fc5dd6f768b650a,Risk-based driver assistance for approaching intersections of limited visibility,"Control Methods and Robotics Lab, Technical University of Darmstadt, 64283 Darmstadt, Germany" ec51aea899d3841a6957e41970f5b2d356bcc819,Object recognition in art drawings: Transfer of a neural network,"History of Art, University of California, Berkeley, U.S.A." ec29a0abcd80752674bc0404fedc2c1ec2c7341f,Road Lane Semantic Segmentation for High Definition Map,"Hyundai Motor bldg., Hyundai Mnsoft, Seoul, 04365, Korea" ec0758185c9d565de715fa7cc03e93809284d9ac,Facial expression invariant 3D face reconstruction from a single image using Deformable Generic Elastic Models,"Electrical Engineering Department Semnan University Semnan, Iran" -ec32c8476b5dbf6564bdde991f53cabaf5d6363c,Driver State Analysis Based on Imperfect Multi-view Evidence Support,"Department of Electrical and Information Engineering, Northeast Agricultural University, Harbin, China" -ec32c8476b5dbf6564bdde991f53cabaf5d6363c,Driver State Analysis Based on Imperfect Multi-view Evidence Support,"Dongbei University of Finance and Economics, Dalian, China" -ec32c8476b5dbf6564bdde991f53cabaf5d6363c,Driver State Analysis Based on Imperfect Multi-view Evidence Support,"Harbin University of Commerce, Harbin, China" -ec32c8476b5dbf6564bdde991f53cabaf5d6363c,Driver State Analysis Based on Imperfect Multi-view Evidence Support,"Key Laboratory of Solar Activity, National Astronomical Observatories of Chinese Academy of Sciences, Beijing, China" ecd6506cc3195620822e1f103b2faa96c1e8c0fc,Deepgender: real-time gender classification using deep learning for smartphones,"Government College University Faisalabad, Faisalabad, Pakistan" ecd6506cc3195620822e1f103b2faa96c1e8c0fc,Deepgender: real-time gender classification using deep learning for smartphones,"Department of Computer Engineering, Bahria University, Islamabad, Pakistan" ecd6506cc3195620822e1f103b2faa96c1e8c0fc,Deepgender: real-time gender classification using deep learning for smartphones,"University of Engineering and Technology, Taxila, Pakistan" ecd6506cc3195620822e1f103b2faa96c1e8c0fc,Deepgender: real-time gender classification using deep learning for smartphones,"Department of Computer Science, National Textile University, Faisalabad, Pakistan" ec096d96a9cb18203a14c06e150e67febc4f4265,Street-to-shop shoe retrieval with multi-scale viewpoint invariant triplet network,"Artificial Intelligence Research Center, National Institute of AIST" -ec6f1a4b9367675833f0111c44a22ba217fcbd23,Visual Tracking via Constrained Incremental Non-negative Matrix Factorization,"School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China" -2fdb79eac9398a05bc67304f381842a05979c943,Visual Event Recognition in Videos by Learning from Web Data,"Kodak Research Labs, Eastman Kodak Company, Rochester, NY, USA" -2fe3161791693903f98c89429b275eaaf020e0d0,SRSL: Monocular self-referenced line structured light,"German Research Center for Artificial Intelligence, DFKI Bremen, Robotics Innovation Center, Robert-Hooke-Strae 1, D-28359, Germany" 2f25cea519db27f4c3b137e5d20d14f6e0381ccf,Elastic registration of noisy and expression 3D faces,"Elektrik ve Elektronik Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Turkey" 2f4623b24ee7204d12fbfd95d63366ab659f3e71,Real time multi-object tracking using TLD framework,"Vidyalankar Institute of Technology, Mumbai" -2f28db98e8250cff29bc64b569801c739036e4ef,Face recognition using modified deep learning neural network,"University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, New Delhi-110078, India" 2fa4096260ae64fa704f9ff8d7a8d1552f903f43,Fully Private Noninteractive Face Verification,"Signal Theory and Communications Department, University of Vigo, Vigo, Spain" 2fa4096260ae64fa704f9ff8d7a8d1552f903f43,Fully Private Noninteractive Face Verification,"Galician Research and Development Center in Advanced Telecommunications (GRADIANT), Vigo, Spain" 2f7a5dfc04b037d1841e1fdd08d1462f34c6a1da,3D face recognition for biometric applications,"Department of Computer Engineering, Boğaziçi University, Bebek, ıstanbul, Turkey" -2f95509b8e2e7a7ab10e7bace8193e087102f625,A two step method to recover occluded part of face,"Artificial Intelligence Institute, Zhejiang University Hangzhou, China" 2f57ad0f2558e2a25443bddc5a28bd598cdbecad,Cross-Modal Message Passing for Two-Stream Fusion,"School of Computer Science, Center for Optical Imagery Analysis and Learning (OPTIMAL)" -2f065b51547c671ad9267d08f9f428950849ab9f,Fetching Relevant Images and Videos in Keyword Based Search Mechanism with Hypergraph Learning and Similarity Matching,"Department of Computer Science and Engineering, Government College of Engineering Aurangabad, Aurangabad, India" 2ff945f495ac137b4e0cc7e9e1d516c555607822,Learning a discriminative feature for object detection based on feature fusing and context learning,"HIT Campus of University Town of Shenzhen, Shenzhen, China PC: 518055" -2f3ec6d666d7b94b63a104f92859199428b77f78,An algorithm for human face detection in color image based on Skin color segmentation,"Dept. of Computer, Xi'an University of Science and Technology, China" -2f3ec6d666d7b94b63a104f92859199428b77f78,An algorithm for human face detection in color image based on Skin color segmentation,"Dept. of Computer, Shaanxi Electric Power' staff Training Center, Xi'an, China" 2f17c0514bb71e0ca20780d71ea0d50ff0da4938,Photo search in a personal photo diary by drawing face position with people tagging,"Inha University, Incheon, South Korea" 2fdcf1c89b231ac4cff03fd6768583b3d4400b41,A low complexity JPEG domain face recognition approach using low frequency coefficients,"Electrical Engineering, Department, Bu-Ali Sina University, Hamedan, Iran" 2fde9f3cb021bb5c958a65d5a29ba998e1cc8c17,The any-combiner for multi-agent target classification,"The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA" @@ -6541,138 +3886,80 @@ ec6f1a4b9367675833f0111c44a22ba217fcbd23,Visual Tracking via Constrained Increme 2f0d620715e5a13e765fd36c418eeaf462c740e9,Gender classification using face recognition,"School of Mathematics, Statistics and Computer Science University of KwaZulu-Natal Durban, South Africa" 2fb9363fc33568c21e696e82c6869170016335ac,Intelligent Computing Theory,"Electrical and Electronics Department, Politecnico of Bari, Bari, Italy" 2fb9363fc33568c21e696e82c6869170016335ac,Intelligent Computing Theory,"School of Electrical, Computer and Telecommunications Engineering, University of Wollongon, North Wollongon, Australia" -2f04bfc847d5fbb9be47e3297881c9266cbb8ff6,Correlation Filter of Deep Features for Robust Face Recognition,"Laboratory of Parallel Software and Computational Science, State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, Beijing, China" fc836ff649af617c986f273ac3374261ec811124,Personal identification using ocular vein biometric,"Institute of Telecommunications and Computer Sciences, UTP University of Science and Technology, 85-796 Bydgoszcz, Poland" fcd945eb1cf5f87eefa444660dbdf94f5bb0092e,Dimensionality reduction based on Lorentzian Manifold for face recognition,"Computer Engineering Department, Engineering Faculty, Gazi University, Ankara, Turkey" fcd945eb1cf5f87eefa444660dbdf94f5bb0092e,Dimensionality reduction based on Lorentzian Manifold for face recognition,"Computer Engineering Department, Ahmet Yesevi University, Turkistan, Kazakhstan" fcd945eb1cf5f87eefa444660dbdf94f5bb0092e,Dimensionality reduction based on Lorentzian Manifold for face recognition,"Teacher Training in Mathematics, Gazi Faculty of Education, Gazi University, Ankara, Turkey" -fcaad38bf09403b33e5d1e1f4c9edc61413e7d15,A fully neural approach to color facial image recognition,"Depart. Electronics, Telecommunications & Information Technology, Polytechnic University of Bucharest, Romania" fcb3f7498ae8185ed09ac8445fd9409a4fcc49a4,Monocular 3-D Gait Tracking in Surveillance Scenes,"Aragon Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain" fcbfa580dafafcaccca5819b232e1287406ed43e,3D human pose estimation using 2D body part detectors,Centre de Visió per Computador Universitat Autònoma de Barcelona fc8b04762e4c0acace1599f0bf0e73f530f0db43,Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units,"Supelec, IETR (UMR 6164) Avenue de la Boulaie, 35511, Cesson-Sevigne" -fcb0e0b0b5ba4daae62323d7b26abdc83f80952a,Real-time Analysis and Visualization of the YFCC100m Dataset,"University of Kaiserslautern, Germany, Kaiserslautern, Germany" fc00d634797c5378ca9a441c2d4ce88761d3c7eb,A probabilistic approach to support Self-Organizing Map (SOM) driven facial expression recognition,"Department of Computer Science and Engineering, University of Chittagong, Bangladesh" fc74cf2b661f7209f76deee94c7adddae352fea2,Discriminative dictionary learning via shared latent structure for object recognition and activity recognition,"United Technologies Research Center (UTRC), East Hartford, Connecticut, USA. now at Southern Illinois University, Carbondale, Illinois, USA" -fc3bc272dbd1ba62cb183db35133b0833b3330b2,Infrared image change detection of substation equipment in power system using random forest,"Tongren Electric Power Supply Bureau of Guizhou Power Grid Co., Ltd., Tongren, China" -fc3bc272dbd1ba62cb183db35133b0833b3330b2,Infrared image change detection of substation equipment in power system using random forest,"Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang, China" -fc3bc272dbd1ba62cb183db35133b0833b3330b2,Infrared image change detection of substation equipment in power system using random forest,"Wuhan Zhongyuan Huadian Science & Technology Co., Ltd., Wuhan, China" fce4680e09b2521dfe75819dbf20d973fec4b864,SecHOG: Privacy-Preserving Outsourcing Computation of Histogram of Oriented Gradients in the Cloud,"The State University of New York at Buffalo & Jinan University, Buffalo, NY, USA" -fcf393a90190e376b617cc02e4a473106684d066,A sparse neighborhood preserving non-negative tensor factorization algorithm for facial expression recognition,"Baidu Online Network Technology (Beijing) Co. Ltd, Beijing, China" fc0e8df77dfab9c0b5ad7145af2e5d84b5c110b9,Extraction of salient objects based on image clustering and saliency,"School of Electronics and Computer Engineering, Chonnam National University, Gwangju, Korea" -fcb276874cd932c8f6204f767157420500c64bd0,A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition,"Department of Computer Science and Engineering, National Institute of Technology, Uttarakhand, India" -fcb276874cd932c8f6204f767157420500c64bd0,A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition,"School of Computer & System Sciences, Jawaharlal Nehru University, New Delhi, India" -fcb276874cd932c8f6204f767157420500c64bd0,A Comparative Study of Linear Discriminant and Linear Regression Based Methods for Expression Invariant Face Recognition,"S. S. College of Business Studies, University of Delhi, Delhi, India" -fc9766fdbe687b3c8b93b6d164357d4918687cb6,A hierarchical method for pedestrian detection with random forests,"Huawei Technologies Co. Ltd, Shenzhen, China, 518000" fc8990088e0f1f017540900bc3f5a4996192ff05,Hierarchical bilinear network for high performance face detection,"Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, 400714" -fc9e48e6688792a3edfe373da51e2b4e7182c6f2,Three-step-approach with validation for face hallucination,"Institute of Physical Education Bangkok Campus, Faculty of Sport Science and Health, Pathumthani 12110, Thailand" fc9e48e6688792a3edfe373da51e2b4e7182c6f2,Three-step-approach with validation for face hallucination,"Panyapiwat Institute of Management, Faculty of Engineering and Technology, Nonthaburi 11120, Thailand" -fcb9597f75e9e1770df629d784cf03ed87d61d0e,Low cost and processor efficient facial recognition system,"School of Electrical Engineering VIT University Vellore, India 632014" -e5256d2798f997e666a71a20fcef35e2bf597349,Evaluation and analysis of illumination normalization methods for face recognition,"Dept. of Computer Engineering, A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India" -e5256d2798f997e666a71a20fcef35e2bf597349,Evaluation and analysis of illumination normalization methods for face recognition,"Dept. of Electronics & Commu. Engg., A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India" -e5256d2798f997e666a71a20fcef35e2bf597349,Evaluation and analysis of illumination normalization methods for face recognition,"Dept. of Information Tech., A.D. Patel Institute of Technology, New V.V. Nagar, Anand, India" e5dc8be9b4678ae1f91764494acc96299cf44009,Event-based scheduling for energy-efficient QoS (eQoS) in mobile Web applications,Department of Electrical and Computer Engineering The University of Texas at Austin e5cedb6822be94933f7d7d0b6870756da1be7f7b,Multi-modal pedestrian detection on the move,"SRI International Sarnoff Princeton, NJ 08540" e55f2e7f72ab8f5ad0c0372651f35702c9d54351,Efficient object detection and segmentation with a cascaded Hough Forest ISM,"ESAT-PSI / IBBT, K.U. Leuven, Belgium" e513e8789e90251fc957351028e02eacb3a508ec,Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing,"UNC-Charlotte, Charlotte, NC, USA" e513e8789e90251fc957351028e02eacb3a508ec,Leveraging Content Sensitiveness and User Trustworthiness to Recommend Fine-Grained Privacy Settings for Social Image Sharing,"Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA" e5c22faf19bd7ab529ec7c39e4f46e8116211679,Hallucinating Face in the DCT Domain,"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA" -e5745f7ff915808faa6505b18a1d02aac783f5dc,Face hallucination using region-based deep convolutional networks,"School of Computer Science and Engineering, Wuhan institute of Technology, Wuhan, China, 430073" -e5745f7ff915808faa6505b18a1d02aac783f5dc,Face hallucination using region-based deep convolutional networks,"School of Computer Science, China University of Geosciences, Wuhan, China, 430074" -e506788b911aa7f55f44e047b79a242334167d5a,Towards a face recognition method based on uncorrelated discriminant sparse preserving projection,"School of Computer Science and Technology, Zhoukou Normal University, Zhoukou, China" -e506788b911aa7f55f44e047b79a242334167d5a,Towards a face recognition method based on uncorrelated discriminant sparse preserving projection,"School of Computer and Communication Engineering, Light Engineering Institutes of Zhengzhou, Zhengzhou, China" -e506788b911aa7f55f44e047b79a242334167d5a,Towards a face recognition method based on uncorrelated discriminant sparse preserving projection,"SIAT, Chinese Academy of Science, Beijing, China" e579ae31f4c2a20490a1e774b1b959203be0135d,Multimodal face recognition: combination of geometry with physiological information,"Dept. of Comput. Sci., Houston Univ., TX, USA" -e533d2321ccdd69f64be60ce1e503c09eb3dfed0,Enhanced face recognition using Cross Local Radon Binary Patterns,"TCS Innovation Labs, TATA Consultancy Services, Hyderabad, India" e532dc46f7a28114fbe03d256e0e28ed30929692,Group abstraction for assisted navigation of social activities in intelligent environments,"Inria, Campus universitaire de Beaulieu, Rennes, France" -e54f6f8220d958450602a3df56153c6b82cc60fa,A scheme of betrayal checking and traitor tracing for confidential image in Internet,"College of Mathematics & Computer Science, Wuhan Textile University, 430070, China" e56b80cf274933e3441a32909b949a4f56e18721,Detection of Sudden Pedestrian Crossings for Driving Assistance Systems,"Department of Electrical and Computer Engineering, University of Missouri Columbia, MO, USA" -e5f803e055a3916d3915c2c19a1773d0dab08844,An evaluation framework for auto-conversion of 2D to 3D video streaming using depth profile and pipelining technique in handheld cellular devices,"Department of Electronics and Communication Engineering, Project Associate-TEQIP, Directorate of Technical Education, Chennai, India" -e5b01b4439ee779b425fdd99732101d0d0a47e7d,Severely Blurred Object Tracking by Learning Deep Image Representations,"Nanyang Normal University, Henan, China" -e51e94cc3c74adf0cccfac3a8035a10016ce8a3b,Lighting difference based wrinkle mapping for expression synthesis,"Ningbo Augvision Digital Tech Ltd., China" e5a67c425ef3947f2294964692c9c3efc8d0ccab,Robust online multiple object tracking based on the confidence-based relative motion network and correlation filter,"Computer Vision Laboratory, School of Information and Communications, GIST, Republic of Korea" -e577484e5c3ecc6f073faf124468c8ae2f827a0f,Real-time face detection during the night,"College of Information Engineering, China Jiliang University, CJLU Hangzhou, China" -e57014b4106dd1355e69a0f60bb533615a705606,Following event detection method based on human skeleton motion analysis by Kinect sensor,"School of Materials Science and Engineering, Central South University, Changsha, China" e58e8163ab8d74aceea898d0955e71936ff336ef,Time series model based personal verification using ear biometrics,"Department of Electronics & Communication Engineering National Institute of Technology, Srinagar - 190006 India" e5bdd9cdb0845cbc2d1301198cf18f3c0f056161,Enhanced Biologically Inspired Model for Object Recognition,"Centre for Quantum Computation and Information Systems, University of Technology, Sydney, Sydney, Australia" -e55f8123c5077dbb0d3531534cc4bbf2bd025f5a,Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization,"School of Information Science and Engineering, Institute of Biomedical Sciences, Shandong Normal University, Jinan, China" e5961e65169098351571e0828b46e3f8558a9faa,Visual data association in narrow-bandwidth networks,"Centro Universitario de la Defensa (CUD) and Instituto de Investigación en Ingeniería de Aragón (I3A), Zaragoza, Spain" 0228089cf7ae696e946c2cfe757a7c401e5f38f1,Tooth guard: A vision system for detecting missing tooth in rope mine shovel,"Yahoo, Inc." 02b9a5af997595938ff11ee422b816d1e8dafc5b,Statistical Iterative CBCT Reconstruction Based on Neural Network,"Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, USA" -02e1edb2f78c9b24e76e547ca8e31501d0be95f6,Fully automatic 3D facial expression recognition using a region-based approach,"Ecole Centrale de Lyon, LIRIS, Lyon, France" 02e1edb2f78c9b24e76e547ca8e31501d0be95f6,Fully automatic 3D facial expression recognition using a region-based approach,"Telecom Lille 1, LIFL, Lille, France" 02fd953af0391d395bb7495d4450bbaaeb1ed70d,The THU multi-view face database for videoconferences,"Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, P. R. China" 02588064dd2b4b56d1dad214c1af3a7518832a59,A survey on deep neural network-based image captioning,"Marine Engineering College, Dalian Maritime University, Dalian, People’s Republic of China" -02977d45f759bb913aa9fd32f415e826b788ffd5,Projective structure from facial motion,"Leibniz Universität, Hannover, Germany" -02977d45f759bb913aa9fd32f415e826b788ffd5,Projective structure from facial motion,"Univ. Copenhagen, Denmark" 02b33c654aa475f400552bf0743d8d2819e2c2bb,Two-stage appearance-based re-identification of humans in low-resolution videos,"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76131 Karlsruhe, Germany" -02b589c7e20ecce80938b173ad805cdb2bb0e7e8,An improved frame difference method for moving target detection,"School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China" 023decb4c56f2e97d345593e4f7b89b667a6763d,Generalized Low Rank Approximations of Matrices,"Department of Computer Science & Engineering, University of Minnesota-Twin Cities, Minneapolis, USA" 02c2a29a4695eab7a8f859bf8697a5ca9f910d70,Clustering algorithms for face recognition based on client-server architecture,"Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava" 02ecd9318324829709fc9b5ffaec9ae35fd77bf5,Accurate Dynamic Sketching of Faces from Video,"Statistics Department, Univ. of California at Los Angeles, Los Angeles, CA 90095. zjxu@stat.ucla.edu" -02ecd9318324829709fc9b5ffaec9ae35fd77bf5,Accurate Dynamic Sketching of Faces from Video,"Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY 14650-1816. jiebo.luo@kodak.com" 026fd26cf0fc1d1bd80d7e265058c21c15e60f79,An automatic analysis of shoppers behaviour using a distributed RGB-D cameras system,"Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy" 026fd26cf0fc1d1bd80d7e265058c21c15e60f79,An automatic analysis of shoppers behaviour using a distributed RGB-D cameras system,"Grottini Lab S.r.l., Porto Recanati, Italy" 0293721d276856f0425d4417e22381de3350ac32,Customer Satisfaction Measuring Based on the Most Significant Facial Emotion,"University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France" 02c38fa9a8ada6040ef21de17daf8d5e5cdc60c7,Toward an Application of Content-Based Video Indexing to Computer- Assisted Descriptive Video," R-D Department, CRIM, 550 Sherbrooke West, Suite 100, Montréal, Canada" -02fc9e7283b79183eb3757a9b6ddeb8c91c209bb,High-dimensional multimedia classification using deep CNN and extended residual units,"Department of Computer Science & Engineering, Jamia Hamdard University, New Delhi, India" -02b0e93e4778fdfe4984a3cf5174df64447fedff,Learning Representation for Multi-View Data Analysis,"Indiana University-Purdue University Indianapolis, Indianapolis, USA" 02b0e93e4778fdfe4984a3cf5174df64447fedff,Learning Representation for Multi-View Data Analysis,"Adobe Research, San Jose, USA" 026a9cfe3135b7b62279bc08e2fb97e0e9fad5c4,Learning Attribute Representations for Remote Sensing Ship Category Classification,"LTCI Télécom ParisTech, Université Paris-Saclay, Paris" 026a9cfe3135b7b62279bc08e2fb97e0e9fad5c4,Learning Attribute Representations for Remote Sensing Ship Category Classification,"CNRS, LIP6 UPMC Sorbonne Universités, Paris, France" 021b38f989a7140e17babc194967dcc7ab4809ab,Cross-band ear recognition in low or variant illumination environments,"Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia" -020f5848c11b43ca5f7cf02f9198649895422426,Real-time face alignment with tracking in video,"Sensing and Control Technology Laboratory, Omron Corporation, Japan" -02d423de6ee65037ea6c3f4a8f2f269c210fb163,Adaptive Hashing with Sparse Modification,"Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science, Sun Yatsen University, Guangzhou, China" -02d423de6ee65037ea6c3f4a8f2f269c210fb163,Adaptive Hashing with Sparse Modification,"College of science, Huazhong Agricultural University, Wuhan, China" -023740e2b732448132ecc67594c55f809f2884a9,Depression Estimation Using Audiovisual Features and Fisher Vector Encoding,"INRIA Grenoble Rhone-Alpes, Grenoble, France" 906b93f519218d4ba2d1640a43fa53cc24531d4b,Robust albedo estimation from a facial image with cast shadow,"School of Electrical Engineering and Computer Science, ASRI Seoul National University, Seoul, Korea" -90f4b20f4b7115cb84dda22e5e4eb9c50d7fddce,Performance analysis of classifiers for facial expression recognition under constrained settings,"CSE, Department, Regional Centre of Anna University, Tirunelveli, TamilNadu, India" -90e8610ffd1550648712d78074236daba6caa58f,Human body parts candidate segmentation using Laws texture energy measures with skin color,"Information Security Research Division, Electronics and Telecommunications Research Institute, Daejeon, Korea" 90614cea8c2ab2bff0343231a26d6d0c9315d6c7,A Comparison of Affine Region Detectors,"University of Leuven, Leuven, Belgium" -90614cea8c2ab2bff0343231a26d6d0c9315d6c7,A Comparison of Affine Region Detectors,"INRIA, GRAVIR-CNRS, Montbonnot, France" 90a7e37935891e2e7ede39d0c2da04d2aff54df9,3D facial expression recognition using residues,"Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632" 90ddf36ded1624251acac0b900c42eed3fe37505,Genetic based LBP feature extraction and selection for facial recognition,"North Carolina Agricultural and Technical State University, NC" 903f8670d13237328e0a0f9f655b8f534a9b6651,Surgical tool attributes from monocular video,"Department of Mechanical Engineering, University at Buffalo, SUNY Buffalo NY 14260 USA" 903f8670d13237328e0a0f9f655b8f534a9b6651,Surgical tool attributes from monocular video,"Robotic Surgery, Kaleida Health Western New York, Buffalo NY 14214 USA" 903f8670d13237328e0a0f9f655b8f534a9b6651,Surgical tool attributes from monocular video,"Department of Computer Science Engineering, University at Buffalo, SUNY, Buffalo NY 14260 USA" 903f8670d13237328e0a0f9f655b8f534a9b6651,Surgical tool attributes from monocular video,"Department Obstetrics and Gynecology, University at Buffalo, SUNY Buffalo NY 14260 USA" -9006647d190af09e773bfd7ca9d5632f30ac0d72,Activity Monitoring by Multiple Distributed Sensing,"Istituto Nazionale di Ottica - CNR, Italy" 9006647d190af09e773bfd7ca9d5632f30ac0d72,Activity Monitoring by Multiple Distributed Sensing,"Istituto Nazioinale di Ottica - CNR, Italy" -9033ca38cc650a6dc8f7dca967712d1e98aeceef,Performance evaluation of subspace methods to tackle small sample size problem in face recognition,"Jawaharlal Nehru University, New Delhi - India" 903a8db7bac7a2826cd98ae5425d839852274f7d,Like at First Sight: Understanding User Engagement with the World of Microvideos,"Kings College, London, UK" -903a8db7bac7a2826cd98ae5425d839852274f7d,Like at First Sight: Understanding User Engagement with the World of Microvideos,"Bell Labs, Cambridge, UK" 90c316d4c4bdc94908e68bbe46dd6c90a88e847f,Global tracker: An online evaluation framework to improve tracking quality,"INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France" -9040e6ed20a5e64885e59ea585373663c5551273,Makeup-robust face verification,"School of Computer Science and Engineering, Chongqing University of Technology, China" 902794cdcc6d908a2955f4c7361a881fa76afc98,Crowd Behavior Analysis Using Local Mid-Level Visual Descriptors,"Vision and Content Engineering Laboratory, CEA LIST, Gif-sur-Yvette, France" 9048732c8591a92a1f4f589b520a733f07578f80,Improved CNN-based facial landmarks tracking via ridge regression at 150 Fps on mobile devices,Tencent Inc 905339e771e69cd412f3379c4da02b78ec2a950f,Learning a Synchronous MAP for Improved Face Recognition,"Seelicon Research, Princeton, NJ" 900869f974fda37e74e36f3723217511d76395ac,Unsupervised Discriminant Projection Analysis for Feature Extr,"University, Kowloon, Hong Kong" -90c0a60aa511e74c2f20be1724692c27b5a6ab94,Progressive Shape-Distribution-Encoder for Learning 3D Shape Representation,"Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, New York University Abu Dhabi, UAE" -90ae02da16b750a9fd43f8a38440f848309c2fe0,A review of facial gender recognition,"Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kuala Lumpur, Malaysia" -90ce797fd1218768737f1611cf830a70266e60f4,The ParallelEye-CS Dataset: Constructing Artificial Scenes for Evaluating the Visual Intelligence of Intelligent Vehicles,"School of Automation, Beijing Institute of Technology, Beijing, 100081, China" -905e3fe7a0da114d6516dc4cfac1c1c2a55213de,Two-dimensional complete neighborhood preserving embedding,"Low Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang, China" 90c4c8bafe50500312350e73d93eda6e63196832,Deep trajectory representation-based clustering for motion pattern extraction in videos,"Computational Vision Group, Department of Computer Science, University of Reading, UK" 90c01ab7f0516990e722c366155a796577bd31d8,A systematic framework for real-time online multi-object tracking,"School of Information and Communications, Gwangju Institute of Science and Technology, 61005, South Korea" 2bb6ab1cb16edea5c71174f8e277d001c0084b58,Transductive Face Sketch-Photo Synthesis,"Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology of Sydney, Ultimo, Australia" 2bed84ee6f8e592dde39a93a77fe06fddf55b817,SpaFIND: An Effective and Low-Cost Feature Descriptor for Pedestrian Protection Systems in Economy Cars,"Toyota Central R&D Labs., Inc., Nagakute, Japan" 2b5ec4532fbd88f730e542d4bd5ad6dbe163e868,A Genetic Algorithm-Based Feature Selection for Kinship Verification,"Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran" 2bb4903db8809a750713073707c1d4265bbd7079,Facial feature extraction in frontal views using biometric analogies,"Dept. of Informatics, Aristotle Univ. of Thessaloniki, Box 451, Thessaloniki 54006, Greece" -2bfd2add86071064bcf3795dbb57bdb1643ce2c4,3D Person Tracking In World Coordinates and Attribute Estimation with PDR,"KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan" 2bb78d1b137e6374808542a7193270a9e7524724,Monocular visual odometry with road probability distribution factor for lane-level vehicle localization,"SATIE, Université Paris-Sud, ENS Cachan, CNRS, Université Paris-Saclay, 91405, Orsay, France" 2b0d14dbd079b3d78631117b1304d6c1579e1940,Fractional-Order Embedding Supervised Canonical Correlations Analysis with Applications to Feature Extraction and Recognition,"School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, People’s Republic of China" 2b0d14dbd079b3d78631117b1304d6c1579e1940,Fractional-Order Embedding Supervised Canonical Correlations Analysis with Applications to Feature Extraction and Recognition,"Department of Computer Science and Technology, Yangzhou University, Yangzhou, People’s Republic of China" 2be9284d531b8c573a4c39503ca50606446041a3,Recovering facial shape using a statistical surface normal model,"Dept. of Comput. Sci., York Univ., UK" -2bb4d44b3d9ea2406f9ab1bb7540b8c0b5a94549,Why Design Matters: Crowdsourcing of Complex Tasks,"Simula Research Laboratory & University of Oslo, Oslo, Norway" 2b1129efcbafa61da1d660de3b5c84b646540311,Distributing expressional faces in 2-D emotional space,"Intel China Research Center, Beijing, P. R. China" 2b726b240fb75e459eacc8a6916a26a93373088f,The inverted multi-index,"Yandex, Moscow" 2b47a5ac9ae5bcca1f0ae3910c690249e6c469f6,Virtual and Real World Adaptation for Pedestrian Detection,"Centro de Visión Por Computador-Edificio O, Universidad Autónoma de Barcelona, Bellaterra, Spain" -2b2e6e073fe0876fdf96a336cbc14de0217ce070,Ensemble local fractional LDA for face recognition,"College of Science and Technology, Nanchang University, Nanchang, China" -2b2e6e073fe0876fdf96a336cbc14de0217ce070,Ensemble local fractional LDA for face recognition,"School of Information Engineering, Nanchang University, Nanchang, China" -2b2e6e073fe0876fdf96a336cbc14de0217ce070,Ensemble local fractional LDA for face recognition,"School of Computer Science and Techonolgy, Beiing Institute of Technology Beijing, China" 2bbfe26aac63693556a7eacb45b7271532d0128b,LogAbout mapping of Self Quotient Image,"Department of Research & Development, Extol MSC Berhad, Kuala Lumpur, Malaysia" 2bbfe26aac63693556a7eacb45b7271532d0128b,LogAbout mapping of Self Quotient Image,"Department of Mechatronic & Biomedical Engineering, Universiti Tunku Abdul Rahman (UTAR), Kuala Lumpur, Malaysia" -2bf37dd0ebaac003e67d11cc869e5e93b13dbd00,Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research,"FXPal, Palo Alto, CA, USA" -2b2887d7c28f18147094c92fa93acb3d45a42b76,Emergent face orientation recognition with internal neurons of the developmental network,"Department of Research the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China" 2bdb6162beb1f66baefb83465421526b934d43ab,Toward reliable experiments on the performance of Connected Components Labeling algorithms,"Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, Modena, Italy" 2b0a27ef0b49a6d067128d831046064c12bee37a,Head plane estimation improves the accuracy of pedestrian tracking in dense crowds,"Computer Science and Information Management, Asian Institute of Technology, Pathumthani, Thailand" 2be9c1d61092ec315f068bb30f4651cf4f3c7658,Behavioral and electrophysiological responses to fairness norm violations in antisocial offenders,"Department of Clinical Psychology und Psychotherapy, University of Tübingen, Tübingen, Germany" @@ -6686,76 +3973,42 @@ e5961e65169098351571e0828b46e3f8558a9faa,Visual data association in narrow-bandw 2b0d2b5a536e2eaa6a1cdab6f1e8d11f602abdab,Annotating images with suggestions: user study of a tagging system,"Faculty of Information Technology, VUT — Brno University of Technology, Brno, Czech Republic" 2b853328b37db50be2e5ddf7e6629121f607140c,Combined salience based person re-identification,"School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Korea" 2be9144a1e66de127192b01907c862381f4011d1,Using eye reflections for face recognition under varying illumination,"Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USA" -2b60fe300735ea7c63f91c1121e89ba66040b833,A study on face recognition techniques with age and gender classification,"Department of Electronics and Communication Engineering, PEC University of Technology, Chandigarh-160012, India" -2b60fe300735ea7c63f91c1121e89ba66040b833,A study on face recognition techniques with age and gender classification,"Department of Electrical Engineering, PEC University of Technology, Chandigarh-160012, India" -2ec31c9e87830fe4dfd82748ef6c102ccea23362,Multi-faceted contextual model for person identification in news video,"Sch. of Comput., Singapore Nat. Univ., Singapore" 2e2579dfaeb8906e4219271be8c7d54102eb7228,Biologically inspired visual odometry based on the computational model of grid cells for mobile robots,"Department of Cognitive Systems, University of Tübingen, Germany, 72076" -2e6776cd582c015b46faf616f29c98ce9cff51a2,Facial expression recognition using kernel canonical correlation analysis (KCCA),"Res. Center for Learning Sci., Southeast Univ., Jiangsu, China" -2e230fba690287b9cf891adc0a0a089df3a383b1,Zero-Shot Learning via Attribute Regression and Class Prototype Rectification,"Department of EEE, Xi’an Jiaotong-Liverpool University, Jiangsu, China" 2ea47779a591d13e67bb6ff77af7b9f7194ba06a,Illumination-robust face recognition using locally directional intensity mapping and order features,"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, P. R. China, 430081" 2ea47779a591d13e67bb6ff77af7b9f7194ba06a,Illumination-robust face recognition using locally directional intensity mapping and order features,"School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, P. R. China, 430081" 2ea47779a591d13e67bb6ff77af7b9f7194ba06a,Illumination-robust face recognition using locally directional intensity mapping and order features,"School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, P. R. China, 430081" -2eed184680edcdec8a3b605ad1a3ba8e8f7cc2e9,Generic object recognition with boosting,"Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria" -2ef0748522a98f3bd06d7819410fd084e34031eb,Inter-ACT: an affective and contextually rich multimodal video corpus for studying interaction with robots,"Instituto Superior Tecnico , Lisbon, Portugal" -2e27667421a7eeab278e0b761db4d2c725683c3f,Effective human age estimation using a two-stage approach based on Lie Algebrized Gaussians feature,"Eedoo Inc, Beijing, China" 2ec6518420c6f5f4e0a9329efa55acd896a92a0c,Multi-Pose Face Detection with Asymmetric Haar Features,"University of Texas at El Paso, 500 W University Ave - El Paso TX 79968" 2e9e07b871e7703c60d6849282174d99977ccea7,Facial emotion detection considering partial occlusion of face using Bayesian network,"Dept. of Computer Science and Engineering Nagoya Institute of Technology Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan" 2e045673404592cb4c0ea136d7521bc6475b3b51,Unsupervised variable-grained online phase clustering for heterogeneous/morphable processors,"INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal" 2e469c6e86d8f9827d8e665db3b343fefb0451d5,Automatic categorization-based multi-stage pedestrian detection,"Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, USA" 2e469c6e86d8f9827d8e665db3b343fefb0451d5,Automatic categorization-based multi-stage pedestrian detection,"Collaborative Safety Research Center, Toyota Motor Engineering & Manufacturing North America Inc., USA" 2e469c6e86d8f9827d8e665db3b343fefb0451d5,Automatic categorization-based multi-stage pedestrian detection,"Vehicle Engineering Development Div., Toyota Motor Corporation, Japan" -2eb84aaba316b095d4bb51da1a3e4365bbf9ab1d,Genealogical face recognition based on UB KinFace database,"CSE, SUNY at Buffalo, USA and Southeast University, China" 2e9c4c12a2e18bd0cffbf5180e4475b773517250,A novel fuzzy feature encoding approach for image classification,"Department of Computer Engineering, Air Force Academy, Istanbul, Turkey" -2e091ec49b3d7a1f5647d9cdb844d72d33c05204,A Privacy Framework for Games & Interactive Media,"College of Engineeing & informatics, National University of Ireland Galway Galway, Ireland" 2ef005a135496cdc2029345f1ae00f809cc6082a,Road estimation with sparse 3D points from stereo data,"Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, Brazil" 2e3c8c8a413a317295bd44d86d089ed70a0b0c29,Introducing Concept And Syntax Transition Networks for Image Captioning,"German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany" -2e380f51c160ca81e21fcc5ebfab11e9d223c844,Automatic Segmentation of Tree Structure From Point Cloud Data,"Disney Research, Zürich, Switzerland" -2ea33c152a6ec4b33c379eb4cea81b34edd84813,Micro-scale thermal behavioral analysis for active evacuation routes,"Technical University of Crete, Chania Crete" 2ea33c152a6ec4b33c379eb4cea81b34edd84813,Micro-scale thermal behavioral analysis for active evacuation routes,"Institute of Communication and Computer Systems, Athens, Greece" -2edab301935d1e1faa0859897b617862d4fede63,Robust and efficient face recognition via low-rank supported extreme learning machine,"School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China" -2edc56745377adfcf60bdefe0f61064ad49c282e,Gaussian Mixture Model on Tensor Field for Visual Tracking,"Beijing Laboratory of Intelligent Information Technology, School of Computer Science, School of Computer Science, Beijing Institute of Technology, Beijing, China" -2ea247029ac1b8ded60023a369e8d259a8637bd2,Efficient face frontalization in unconstrained images,"Visiting Faculty, CVIT, IIIT Hyderabad, India" 6fa7a1c8a858157deee3b582099e5e234798bb4a,Semi-supervised evaluation of face recognition in videos,"Morpho, Safran Group and Ecole pour l'Informatique et les Techniques Avancées (EPITA)" -6fa7a1c8a858157deee3b582099e5e234798bb4a,Semi-supervised evaluation of face recognition in videos,"Morpho, Safran Group" 6fa7a1c8a858157deee3b582099e5e234798bb4a,Semi-supervised evaluation of face recognition in videos,"Morpho, Safran Group and Télécom ParisTech, CNRS LTCI and Université Pierre et Marie Curie, LIP6" 6fbe1d6815d7ac427f9ca528960f07bc8bf34a37,Training an object detector using only positive samples,"Advanced System Technology, STMicroelectronics, Agrate Brianza, Italy" 6fbe1d6815d7ac427f9ca528960f07bc8bf34a37,Training an object detector using only positive samples,"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy" -6ffef49187ecfbec6a621d0eb48e0ccc24096e40,Robust tracking via monocular active vision for an intelligent teaching system,"Software System Research Department, China Electronics Technology Group Corporation No. 38 Research Institute, Hefei, China" 6f22324fab61fbc5df1aac2c0c9c497e0a7db608,Volume structured ordinal features with background similarity measure for video face recognition,"Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney Playa, Havana, Cuba" -6fe4704e7648200aea1a109634f183d0207c2443,Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering,"Hubei University, Wuhan, China" 6ff6f356244a647ff2a6d9dc27343d3e22840571,Branch and bound global optima search for tracking a single object in a network of non-overlapping cameras,"AIT Austrian Institute of Technology, Vienna, Austria" -6f9c7a5d99a33c25ee384f760108e07f5923ccee,An adaptive approximation image reconstruction method for single sample problem in face recognition using FLDA,"College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, China" -6f1735c4222cb5d73ef70506aaae56e2ed496593,EnMS: early non-maxima suppression,"Graph@FIT, Brno University of Technology, Brno, Czech Republic" 6f7d4c572a33087c7ec64e40223d658fd48710d6,Visual odometry with unsynchronized multi-cameras setup for intelligent vehicle application,LITIS laboratory 6f7d4c572a33087c7ec64e40223d658fd48710d6,Visual odometry with unsynchronized multi-cameras setup for intelligent vehicle application,IRSEEM 6ff0f804b8412a50ae2beea5cd020c94a5de5764,Measuring sample distortions in face recognition,"Università di Salerno, Fisciano (SA), Italy" -6fdf9b9a80a2fa9c04a3966587c29d1dde978097,Action Recognition with 3D ConvNet-GRU Architecture,"Institute of Optics and Electronics, Chinese Academy of Science" 6f24906ec9888fd2a2c158794f22fd428c833c6e,Smartphone based guidance system for visually impaired person,"Department of Electrical and Electronics Engineering, University of Sheffield, UK" 6f24906ec9888fd2a2c158794f22fd428c833c6e,Smartphone based guidance system for visually impaired person,"Department of Electrical Engineering, National University of Computer and Emerging Sciences, Pakistan" 6f9c14c9d4cd38e70598e4135419741c4f7eacf0,Early intent prediction of vulnerable road users from visual attributes using multi-task learning network,"Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University, Australia" -6ff8a87d91c9765609e3c12ee101a9ed82718d26,Rank-Constrained Spectral Clustering With Flexible Embedding,"School of Computer Science and Engineering, Shandong Normal University, Jinan, China" 6f79864cd9d9d3facdce0abd7f45d3925285be13,Simultaneously Discovering and Localizing Common Objects in Wild Images,"Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA" -6f25be3ed3b3f872c373b151713b0a0992053c90,Pedestrian movement monitoring based on face recognition and RFID recognition,"South Base, China Mobile, Guangzhou, China" -6f25be3ed3b3f872c373b151713b0a0992053c90,Pedestrian movement monitoring based on face recognition and RFID recognition,"Politics and Enterprise Buisiness Department, Bingosoft Co. Ltd, Guangzhou, China" -6f6ce988a13ac08071a0e3349f80b7c8adc7a49d,A detailed survey on 2D and 3D still face and face video databases part II,"Electronics and Communication Engineering Department of Institute of Road and Transport Technology, Erode, Tamilnadu 638316, INDIA" -6f6ce988a13ac08071a0e3349f80b7c8adc7a49d,A detailed survey on 2D and 3D still face and face video databases part II,"Electronics and Communication Engineering Department of S.K.P. Engineering College, Thiruvannamalai, Tamilnadu, INDIA" 6f9026627fb31d4cfb08dbcc4ab852945dc42252,Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild,"IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal" -6f9026627fb31d4cfb08dbcc4ab852945dc42252,Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild,"Università degli Studi di Cagliari, Italy" -99a17a7f9a263ad357cab88b5607ae626139cec7,Pyramidal algorithm for SVM-classification,"BSUIR, Minsk, Belarus" -99a17a7f9a263ad357cab88b5607ae626139cec7,Pyramidal algorithm for SVM-classification,"UIIP, Minsk, Belarus" -99e2c2e7748173f16d51f524cf6add081a478a2c,Outfit Recommendation with Deep Sequence Learning,"Institute of Information Engineering, CAS, State Key Laboratory of Information Security, Beijing, China" -993cf62bb73e18550cea82e9774ab59e43f5449e,Directional Illumination Estimation Sets and Multilevel Matching Metric for Illumination-Robust Face Recognition,"School of Communication Engineering and the Kangni Mechanical and Electrical Institute, Nanjing Institute of Technology, Nanjing, China" -993cf62bb73e18550cea82e9774ab59e43f5449e,Directional Illumination Estimation Sets and Multilevel Matching Metric for Illumination-Robust Face Recognition,"School of Software Engineering, Jinling Institute of Technology, Nanjing, China" 9944c451b4a487940d3fd8819080fe16d627892d,Human face shape analysis under spherical harmonics illumination considering self occlusion,Department of Mathematics and Computer Science University of Basel 99f9a3437fbdc3ca7a54d4c9eb6973334f50f51f,Feature extraction using gaze of participants for classifying gender of pedestrians in images,"Department of Information and Electronics, Graduate School of Engineering, Tottori University" 99bc5b7f555485b79726de3f1ec40e5d4d978965,Vision-based crowd pedestrian detection,"Dept. of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan" 9984f16ef4dd45d087b3689ef8b8bd42ea74e1d7,Visual feature extraction using variable map-dimension Hypercolumn Model,"Electronics Engineering and Computer Science Department, Fukuoka University, Japan" 995998f46ce5cb82a214fad9b4604bd52e836f0a,Coarse adaptive color image segmentation for visual object classification,"LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France" 99081a318ea8b552954e41ca7203dcf91fe2b018,Stereo parallel tracking and mapping for robot localization,"Computer Science Department, University of Buenos Aires, Argentina" -99081a318ea8b552954e41ca7203dcf91fe2b018,Stereo parallel tracking and mapping for robot localization,"Robotics, Perception and Real-Time Group, University of Zaragoza, Spain" 99127b39f7671607b1fc9d862a9af0ce9beedaa4,Hallucination space relationship learning to improve very low resolution face recognition,"POSTECH, 37673 Pohang, Korea" 99127b39f7671607b1fc9d862a9af0ce9beedaa4,Hallucination space relationship learning to improve very low resolution face recognition,"Sunway University, 46150 Petaling Jaya, Malaysia" -997b9ffe2f752ba84a66730cfd320d040e7ba2e2,Exploiting Objects with LSTMs for Video Categorization,"NTT Media Intelligence Laboratories, Tokyo, Japan" 996dc200dd686c39e235aec78f7c6acd903a970f,Toward an Automatic Evaluation of Retrieval Performance with Large Scale Image Collections,"CERTH-ITI, Thermi-Thessaloniki, Greece" 99b8a24aacaa53fa3f8a7e48734037c7b16f1c40,A Proposal to Improve the Authentication Process in m-Health Environments,"Department of Research and Diagnostic Methods, Faculty of Education, Pontificia University of Salamanca, Salamanca, Spain" 99b8a24aacaa53fa3f8a7e48734037c7b16f1c40,A Proposal to Improve the Authentication Process in m-Health Environments,"Department of Computer Science and Engineering of Systems, University of Zaragoza, Escuela Universitaria Politécnica de Teruel, Teruel, Spain" @@ -6763,18 +4016,11 @@ e5961e65169098351571e0828b46e3f8558a9faa,Visual data association in narrow-bandw 992e4119d885f866cb715f4fbf0250449ce0db05,Glasses detection on real images based on robust alignment,"Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, Gijón, Spain" 992e4119d885f866cb715f4fbf0250449ce0db05,Glasses detection on real images based on robust alignment,"Department of Computer Science and Engineering, University of Oviedo, Gijón, Spain" 992e4119d885f866cb715f4fbf0250449ce0db05,Glasses detection on real images based on robust alignment,"Treelogic, Technological Scientific Park of Asturias, Llanera, Spain" -9963c73b03e4649959f021ef6f4fb1eac0b617d2,Person Reidentification Using Multiple Egocentric Views,"Agency for Science Technology and Research, Institute for Infocomm Research, Singapore" 9910a0666886b17f0aa8cb0b58effcdd0fa70e68,A survey of face recognition techniques and comparative study of various bi-modal and multi-modal techniques,"Department of CSE, PSIT COE, Kanpur (India)" 9910a0666886b17f0aa8cb0b58effcdd0fa70e68,A survey of face recognition techniques and comparative study of various bi-modal and multi-modal techniques,"Department of IT, UIET, CSJMU Kanpur (India)" 9910a0666886b17f0aa8cb0b58effcdd0fa70e68,A survey of face recognition techniques and comparative study of various bi-modal and multi-modal techniques,"Department of CSE, HBTIU, Kanpur (India)" -99273db59af7927c5f4bd0df2e424ed7ab655857,Improvement of optical flow in pedestrian detection based on pictorial structure,"Cognitive Science department of Xiamen University, China" -99f95595c45bd7a4fe2cffff07850754955e5e2a,RRAM-Based Analog Approximate Computing,"Baidu Research-Institute for Deep Learning, Baidu Inc., Beijing, China" 99e04d3633881e668475589917f3dc864b0024e1,Fusion of Perception and V2P Communication Systems for the Safety of Vulnerable Road Users,"RITS Project-Team, INRIA Paris, Paris, France" -991673d4f9dd08893723549ff3ea866b2dc18047,SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation,"Centro de Informática, Universidade Federal de Pernambuco, Recife, PE, 50.740-560, Brazil" -9933357ce4ebb5647925ca8ce39ec68984b4e5a6,AR Timewarping: A Temporal Synchronization Framework for Real-Time Sensor Fusion in Head-Mounted Displays,"Nara Inst. of Science and Technology, Nara, Japan" 5adfb8a5b37bd2784ac3e16f556841c2befb3931,Emotional face recognition in male adolescents with autism spectrum disorder or disruptive behavior disorder: an eye-tracking study,"Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands" -5adfb8a5b37bd2784ac3e16f556841c2befb3931,Emotional face recognition in male adolescents with autism spectrum disorder or disruptive behavior disorder: an eye-tracking study,"Centre for Cognition, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands" -5adfb8a5b37bd2784ac3e16f556841c2befb3931,Emotional face recognition in male adolescents with autism spectrum disorder or disruptive behavior disorder: an eye-tracking study,"Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, The Netherlands" 5adfb8a5b37bd2784ac3e16f556841c2befb3931,Emotional face recognition in male adolescents with autism spectrum disorder or disruptive behavior disorder: an eye-tracking study,"Karakter Child and Adolescent Psychiatry University Centre Nijmegen, Nijmegen, The Netherlands" 5adfb8a5b37bd2784ac3e16f556841c2befb3931,Emotional face recognition in male adolescents with autism spectrum disorder or disruptive behavior disorder: an eye-tracking study,"Stichting Otto Gerhard Heldring, Zetten, The Netherlands" 5adfb8a5b37bd2784ac3e16f556841c2befb3931,Emotional face recognition in male adolescents with autism spectrum disorder or disruptive behavior disorder: an eye-tracking study,"Pluryn, Hoenderloo, The Netherlands" @@ -6782,30 +4028,19 @@ e5961e65169098351571e0828b46e3f8558a9faa,Visual data association in narrow-bandw 5adfb8a5b37bd2784ac3e16f556841c2befb3931,Emotional face recognition in male adolescents with autism spectrum disorder or disruptive behavior disorder: an eye-tracking study,"Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands" 5aa8c64b00ec1d8f64da8deb4d3293874ef9a863,Selfie Search: Image Retrieval and Face Recognition in iOS: [Invited Paper],"Florida Atlantic University, Boca Raton, FL, USA" 5a0bacb6246e40a3595a90a6c55ccf9573322312,An Elevator Pitch on Deep Learning,University of Illinois at Urbana-Champaign (UIUC) -5a06b8ddb91bcf0d7d1f678584532314acff5b77,Increasing the recognition performance in single image per person problem: Combined common feature subspace,"Elektrik ve Elektronik Mühendisliği Bölümü, Bilecik Üniversitesi, Turkey" 5ad12fbaf3af81765a3201d138c0cec4eb68d542,BiosecurID: a multimodal biometric database,"Escuela Universitaria Politecnica de Mataro, Mataro, Spain" 5ad12fbaf3af81765a3201d138c0cec4eb68d542,BiosecurID: a multimodal biometric database,"Universidad Politecnica de Cataluña, Terrassa, Spain" 5ad12fbaf3af81765a3201d138c0cec4eb68d542,BiosecurID: a multimodal biometric database,"Universidad de Valladolid, Valladolid, Spain" 5ad12fbaf3af81765a3201d138c0cec4eb68d542,BiosecurID: a multimodal biometric database,"Escuela Superior de Ingenieros, Universidad del Pais Vasco, Bilbao, Spain" 5ad12fbaf3af81765a3201d138c0cec4eb68d542,BiosecurID: a multimodal biometric database,"Computer Vision Laboratory Group, Universidad de Zaragoza, Zaragoza, Spain" -5a431b5c6676de2c36e16077e522828512092840,Real-time object detection by a multi-feature fully convolutional network,"Academy of Broadcasting science, Beijing, China, 100866" 5a4881bfcb4ae49229f39320197c2d01b2fbf1f5,Biologically plausible computational models for facial expression recognition,Department of Computer Science and Technology University of Bedfordshire United Kingdom 5a41f881700dc4af6e7c0790485345a4cade7307,Manifold-based learning for person re-identification,"Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology" -5a41f881700dc4af6e7c0790485345a4cade7307,Manifold-based learning for person re-identification,"Department of Electronics and Telecommunications Engineering, Danang University of Science and Technology" 5a6012176189639de6517d6515fc1aca58e05c11,A comparison of GEC-based feature selection and weighting for multimodal biometric recognition,"Center for Advanced Studies in Identity Sciences, North Carolina A & T State University, Greensboro, NC, USA" 5ad4b2d6c8253aeb8fc4ad39bcb459a1f2ca10e6,Leveraging stereo matching with learning-based confidence measures,"Computer Vision Laboratory, GIST, South Korea" 5a0b50fcc4f444e6b89aeb312eca37c9d6e2bb75,Learning New Parts for Landmark Localization in Whole-Body CT Scans,"Department of Engineering Science, University of Oxford and Mirada Medical Ltd., Oxford, UK" 5a0b50fcc4f444e6b89aeb312eca37c9d6e2bb75,Learning New Parts for Landmark Localization in Whole-Body CT Scans,"Mirada Medical Ltd., Oxford, UK" -5a88b2b9c77ae830be0b014d4788420f6a748723,Part-based Feature Extraction for Person Re-identification,"Department of automation, USTC, Hefei, China" -5a74e0b78e6ac5ac32d6c3b7a20c807d57c4c4d1,Human pose search using deep poselets,"CVIT, IIIT Hyderabad" -5ab96ace21bf54625f3d18ea11801f540519bd3a,Literature survey on face and face expression recognition,"Dept. of Electrical & Electronics Engineering, Nooral Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India" 5a05e438b60e728b862af1a4022131549b7390a3,Combining Holistic and Part-based Deep Representations for Computational Painting Categorization,"Linkoping University, Linkoping, Sweden" 5a05e438b60e728b862af1a4022131549b7390a3,Combining Holistic and Part-based Deep Representations for Computational Painting Categorization,"Universitat Autonoma de Barcelona, barcelona, Spain" -5a5511dd059d732e60c62ef817532689f4e0ab46,An automatic attendance monitoring system using RFID and IOT using Cloud,"School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India" -5a5511dd059d732e60c62ef817532689f4e0ab46,An automatic attendance monitoring system using RFID and IOT using Cloud,"School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India" -5a9103153c7f36d8a28bfd66e89ff05c93129415,Multi-task convolutional neural network for car attribute recognition,"College of Information Engineering China Jiliang University, 310018, Hangzhou, Zhejiang, China" -0d1b8977d9390470577fb595fffccf7c1aba06f5,An effective preprocessing scheme for face recognition based on local Gabor binary pattern histogram sequence,"College of Information Engineering, Nanchang University, Nanchang, China" -0d1b8977d9390470577fb595fffccf7c1aba06f5,An effective preprocessing scheme for face recognition based on local Gabor binary pattern histogram sequence,"Research Institute 704, Academy of Aerospace Electronics Technology, Beijing, China" 0d6d9c4b5dd282b8f29cd3c200df02a00141f0a9,Anatomy based features for facial expression recognition,"FMV IŞIK Üniversitesi, Şile, Istanbul" 0d2832ba74fb50d79879975c2cda2d85b98a7fe2,Vision-based pedestrian detection for rear-view cameras,"Advanced Technical Center - Israel, General Motors R&D, Hamada 7 Herzlyia, Israel" 0d98750028ea7b84b86e6fec3e67d61e4f690d09,Large-scale subspace clustering using random sketching and validation,"Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA" @@ -6815,55 +4050,27 @@ e5961e65169098351571e0828b46e3f8558a9faa,Visual data association in narrow-bandw 0de793e8892725adce2ab86ab710b4e536e6977b,Content Based Image Retrieval based on Wavelet Transform coefficients distribution,"ENST, Bretagne, GET-ENST, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France" 0de793e8892725adce2ab86ab710b4e536e6977b,Content Based Image Retrieval based on Wavelet Transform coefficients distribution,"CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France" 0de793e8892725adce2ab86ab710b4e536e6977b,Content Based Image Retrieval based on Wavelet Transform coefficients distribution,"ENST, Bretagne, GET-ENST, Brest, F-29200 France" -0de793e8892725adce2ab86ab710b4e536e6977b,Content Based Image Retrieval based on Wavelet Transform coefficients distribution,"Univ Bretagne Occidentale, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France; CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France" 0d5824e14593bcb349d636d255ba274f98bbb88f,A Variational Bayesian Approach for Classification with Corrupted Inputs,"Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. chao.yuan@siemens.com" 0d5824e14593bcb349d636d255ba274f98bbb88f,A Variational Bayesian Approach for Classification with Corrupted Inputs,"Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. claus.neubauer@siemens.com" 0d75c7d9a00f859cffe7d0bd78dd35d0b4bc7fa6,Active differential CMOS imaging device for human face recognition,"Inst. Nat. des Telecommun., Evry, France" -0dd5f2d7c30c51995015b7fc8e282fc12c3665e8,RPN+ fast boosted tree: Combining deep neural network with traditional classifier for pedestrian detection,"College of Computer Science, Inner Mongolia University, Hohhot, China" 0d8cc3604f35dd5d00235c144e06dc91c489e11c,Accuracy analysis of surface normal reconstruction in stereo vision,"Insitute of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany" 0d8cc3604f35dd5d00235c144e06dc91c489e11c,Accuracy analysis of surface normal reconstruction in stereo vision,"FZI Research Center for Information Technology, Mobile Perception Systems, 76131 Karlsruhe, Germany" 0d4740b19fb6148bc22b7c07a5c750debc242dd5,Recognizing Expressions in a New Database Containing Played and Natural Expressions,"Center for Biological and Computational Learning, M.I.T., Cambridge, USA" -0d3b167b52e9f0bf509e3af003ea320e6070b665,Two-level algorithm of facial expressions classification on complex background,"Department of Computer Science, Tomsk Polytechnic University (TPU), Tomsk, Russia" 0da3c329ae14a4032b3ba38d4ea808cf6d115c4a,Discriminant feature extraction for image recognition using complete robust maximum margin criterion,"Department of Computer Science, Minjiang University, Fuzhou, People’s Republic of China" 0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1,Lazy dragging: effortless bounding-box drawing for touch-screen devices,"Student, IEEE" 0dc0823a7485e2dfba9cdbcec788fe705c9bd8a1,Lazy dragging: effortless bounding-box drawing for touch-screen devices,"Senior Member, IEEE" 0d1840e8e0956317db4eb8dc4caede717af47876,Detection and analysis of hair,"Comput. Vision Lab., Maryland Univ., College Park, MD, USA" -d4b4020e289c095ce2c2941685c6cd37667f5cc9,Facial expression recognition,"Dept. of Electronics and Telecommunication Engg., KCT's Late G.N. Sapkal college of Engineering, Nashik, India" -d487142a7b8c84cb47129d91d5837345ccaa88eb,Face recognition using extended LBP features and multilevel SVM classifier,"Department of TCE, K S Institute of Technology, Bangalore, Karnataka, India" -d487142a7b8c84cb47129d91d5837345ccaa88eb,Face recognition using extended LBP features and multilevel SVM classifier,"Department of ECE, Global Academy of Technology, Bangalore, Karnataka, India" -d4453ec649dbde752e74da8ab0984c6f15cc6e06,An augmented image gradients based supervised regression technique for iris center localization,"Biomedical Instrumentation (V-02), CSIR-Central Scientific Instruments Organisation (CSIO)|, Chandigarh, India" -d4453ec649dbde752e74da8ab0984c6f15cc6e06,An augmented image gradients based supervised regression technique for iris center localization,"Department of ECE, PEC University of Technology, Chandigarh, India" d4a398aaf49807f1616bdccfe0dd56e6311681fc,A learned feature descriptor for efficient gender recognition using an RGB-D sensor,"LRIT-CNRST URAC 29, Mohammed V University In Rabat Faculty of Sciences Rabat, Morocco. B.P. 1014 Rabat, Morocco" -d41a3022a3947b724b026175dcd93cc055ee9b7c,Real-time pedestrian detection via hierarchical convolutional feature,"Department of Computer Science, University of Mysore, Mysore, India" -d4ba8d84358778e1ad4c5a7c55dbce12753a1716,A Discriminant Subspace Learning Based Face Recognition Method,"School of Mathematics, Central China Normal University, Wuhan, China" d4dbee0892e126b6a7d59709463ef44f76663ff9,The magic passport,"Department of Computer Science and Engineering, Via Sacchi, 3 - 47521 Cesena (FC) - Italy" d4efe5177a932305d0ac742b280da1e97a254f0c,"Learning to detect, localize and recognize many text objects in document images from few examples","A2iA SA, Paris, France" -d4efe5177a932305d0ac742b280da1e97a254f0c,"Learning to detect, localize and recognize many text objects in document images from few examples","LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France" d4efe5177a932305d0ac742b280da1e97a254f0c,"Learning to detect, localize and recognize many text objects in document images from few examples","Teklia SAS, Paris, France" -d4efe5177a932305d0ac742b280da1e97a254f0c,"Learning to detect, localize and recognize many text objects in document images from few examples","CNRS, Université de Lyon, Lyon, France" -d43b6ca9257e9b24f89eb3867f2c04068a78c778,Quantitative evaluation of image information retention by relative phases,"Department of Electrical Engineering, National Institute of Technology, Rourkela-769008, India" d4d1ac1cfb2ca703c4db8cc9a1c7c7531fa940f9,"Gender estimation based on supervised HOG, Action Units and unsupervised CNN feature extraction","Department Of Artificial Intelligence, Faculty of Computer Science & Information Technology, Kuala Lumpur, Malaysia" d49d740ba5298ead14a7e9b146ba5b706376ce79,Image Recognition Based on Separable Lattice Hmms Using a Deep Neural Network for Output Probability Distributions,"Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan" d4993a960acf2495654fa7b2b177396b9e705f3a,Spatio-textual user matching and clustering based on set similarity joins,"IMIS, R.C. Athena, Athens, Greece" -d4993a960acf2495654fa7b2b177396b9e705f3a,Spatio-textual user matching and clustering based on set similarity joins,"European University Cyprus, Nicosia, Cyprus" d4efe6e5b4229b03fc7c62ee34c878626d368c09,Learning bag of visual words for motorbike detection,"Faculty of Computer Science and Engineering, HCMC University of Technology, Ho Chi Minn, Vietnam" d4efe6e5b4229b03fc7c62ee34c878626d368c09,Learning bag of visual words for motorbike detection,"School of Science and Technology, Tokai University, Tokai, Japan" -d4b68168186cc48a59b491a4150c6b5370a07abd,Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning,"Institute for Information and System Science, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China" -d413ab304bd3e6c6e41f2cebf8b0b20edcff3b9a,Ensemble Learning Based on Convolutional Kernel Networks Features for Kinship Verification,"Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China" -d4026438ce2b92302fa635c05507cf0e888414c0,Influenced factors reduction for robust facial expression recognition,"Faculty of Electronic and Communication, Department of Information Science and Engineering, Yanshan University, Qinhuangdao, China" -d4026438ce2b92302fa635c05507cf0e888414c0,Influenced factors reduction for robust facial expression recognition,"Faculty of Electronic Engineering, Department of Physics and Electronic Engineering, Taishan University, Tai’an, China" -d44647349c2a4e3705ff347532a159c3f92ab531,Low cost and power CNN/deep learning solution for automated driving,"Automotive Processor, Texas Instruments Incorporated, Bangalore, India" d4d3e579a2a8e3ca44d42e3bcc31c3f36b3e46a5,Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks,"Department of Mathematics and Computer Science, Northeastern State University, OK, USA" -d4353952a408e1eae8c27a45cc358976d38dde00,Features classification using geometrical deformation feature vector of support vector machine and active appearance algorithm for automatic facial expression recognition,"MNIT, Jaipur, India" -d4353952a408e1eae8c27a45cc358976d38dde00,Features classification using geometrical deformation feature vector of support vector machine and active appearance algorithm for automatic facial expression recognition,"CEERI, Pilani, India" -71f07c95a2b039cc21854c602f29e5be053f2aba,A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework,"Universidad de Las Palmas de Gran Canaria, SIANI, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain" -71ab6a9bdc852b75e12f6ce6ce68c1083475e627,Human Pose Estimation and Tracking via Parsing a Tree Structure Based Human Model,"Institute of Intelligent System and Decision, Zhejiang, China" -71ab6a9bdc852b75e12f6ce6ce68c1083475e627,Human Pose Estimation and Tracking via Parsing a Tree Structure Based Human Model,"Department of Automation, Beijing, China" -71ab6a9bdc852b75e12f6ce6ce68c1083475e627,Human Pose Estimation and Tracking via Parsing a Tree Structure Based Human Model,"National Laboratory of Pattern Recognition, Institute of Automation, Bejing, China" 71ab6a9bdc852b75e12f6ce6ce68c1083475e627,Human Pose Estimation and Tracking via Parsing a Tree Structure Based Human Model,"Department of Computer Science and Information Systems, London, U.K." -712f0a7a3a026faf42d017a95fc609644cc9f715,Optimized multiple existence for pedestrian evacuation using geographic map-based path discovery,"Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India" -712f0a7a3a026faf42d017a95fc609644cc9f715,Optimized multiple existence for pedestrian evacuation using geographic map-based path discovery,"Department of EEE, Coimbatore Institute of Technology, Coimbatore, India" -71039dd024174cb6b956e82a45ff7241fe615c66,Learning icons appearance similarity,"Universidad de Zaragoza, I3A, Zaragoza, Spain" 71039dd024174cb6b956e82a45ff7241fe615c66,Learning icons appearance similarity,"Technicolor, Cesson-Sévigné, France" 71c21458a78b1f1497eb3dfbb78b61b854668217,Using GANs to Enable Semantic Segmentation of Ranging Sensor Data,"Faculty of Electrical Engineering, University of Banja Luka, Bosnia, Herzegovina" 7197e4236fe7c24f6b088b16a404128c1bb28a0f,A hierarchical Bayesian network for face recognition using 2D and 3D facial data,Queensland University of Technology (QUT) @@ -6881,34 +4088,16 @@ d4353952a408e1eae8c27a45cc358976d38dde00,Features classification using geometric 713d4e7edcbf8a4f4c0ce521d58ac7fd9c9e9bfe,A sampling based approach to facial feature extraction,"Centre for Unified Biometrics & Sensors, Sensors Univ., Buffalo, NY, USA" 71d68af11df855f886b511e4fc1635c1e9e789b0,A Self-Configurable Systolic Architecture for Face Recognition System Based on Principal Component Neural Network,"Department of Embedded Systems, Institute for Infocomm Research, Singapore" 71ac84476210b9bb40e8f3f069dcee94df214c8e,Hybrid Histograms of Oriented Gradients-compressive sensing framework feature extraction for face recognition,"Dept. of Electrical and Computer Engineering, Western Michigan University, USA" -71d4924367ba5d31d87bf1ac724db3f285b345c1,Recovering background regions in videos of cluttered urban scenes,"Thales UK, Glasgow" -7143ef99ee9434fa4829a69fc877451497f0b4bc,Efficient logo recognition by local feature groups,"College of computer & communication engineering, Qingdao, China" -36aa5dd816553ba2e666d2a4b7d2f346e4b56be2,Variable scale and anti-occlusion object tracking method with multiple feature integration,"School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Shaanxi Province, China" -36665db54fa91a07211bd3904924427bed7f897b,3D facial expression recognition using Zernike moments on depth images,"Informatics and Telematics Institute Centre for Research and Technology Hellas, Greece" -363ebbebb0d54ff78deb3946806aaa68d5232517,Visual-Based Classification of Figures from Scientific Literature,"University of Athens,, Athens, Greece" -363ebbebb0d54ff78deb3946806aaa68d5232517,Visual-Based Classification of Figures from Scientific Literature,"University of Athens, Athens, Greece" -36db84d941f1a3ece8aacbfcdec79234f03aa1d2,Manifold-Based Visual Object Counting,"School of Electrical and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China" -366ad07343e304ca3d04269d12bd49cd95f3f5c9,Illumination normalization for robust face recognition using edge-preserving filtering,"College of Computer and Information Technology, Institute of Intelligent Vision and Image Information, China Three Gorges University, Yichang, Hubei Province, 443002, China" 36340f697d6c9b64adf4047a38804c0dd5b016dc,Deep convolution network for surveillance records super-resolution,"Advanced Scientific Computing Division, Euro-Mediterranean Centre on Climate Change, Lecce, Italy" -36340f697d6c9b64adf4047a38804c0dd5b016dc,Deep convolution network for surveillance records super-resolution,"Jaypee University of Engineering and Technology, Guna, India" 36c31db023db39d8ba3ddaa42e23acfdff5c7530,Interactive design of probability density functions for shape grammars,EPFL 36c31db023db39d8ba3ddaa42e23acfdff5c7530,Interactive design of probability density functions for shape grammars,"KIT, EPFL" -36d01ab112e0904ed59bb5cbf3a05352547c5a1a,Search-space sorting with hidden Markov models for occluded object recognition,"Centro de Informática, Universidade Federal de Pernambuco, Av. Luiz Freire s/n, 50670-901, Recife, Brazil" 3687612a7f6a3149e2f47b67a6b9fcb516585694,Improving vehicle localization using semantic and pole-like landmarks,"Chair of Production Engineering of E-Mobility Components of RWTH Aachen University, 52074 Aachen, Germany" 3687612a7f6a3149e2f47b67a6b9fcb516585694,Improving vehicle localization using semantic and pole-like landmarks,"Institute for Man-Machine Interaction of RWTH Aachen University, 52074 Aachen, Germany" 36c71258d64f9255cfe0a703545b44b25ee0bea5,Mono-vision based moving object detection in complex traffic scenes,"Sorbonne Universites, universite de technologie de Compiegne, CNRS, UMR 7253 Heudiasyc-CS 60 319, 60 203 Compiegne Cedex, France" -36c71258d64f9255cfe0a703545b44b25ee0bea5,Mono-vision based moving object detection in complex traffic scenes,"SATIE, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 94235 Cachan, France" 366e650a578a3732ebe10267f04bcf9d3129f076,Design of Smart Shopping Wall Using Hand Gesture and Facial Image Recognition,"Department of Information Management, National Kaohsiung University of Science and Technology, Taiwan" 366e650a578a3732ebe10267f04bcf9d3129f076,Design of Smart Shopping Wall Using Hand Gesture and Facial Image Recognition,"Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan" -36646992d460e12615a7f6cd249d4aa8626e0987,A hybrid architecture based on CNN for cross-modal semantic instance annotation,"Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China" -36646992d460e12615a7f6cd249d4aa8626e0987,A hybrid architecture based on CNN for cross-modal semantic instance annotation,"Guangxi Experiment Center of Information Science, Guilin, China" 363dfeb29263c6399365d86fcee97ed18f507768,Robust face recognition of inferior quality images using Local Gabor Phase Quantization,"Indian Institute of Technology Kharagpur, Kharagpur, India - 721302" 36b1370ccd2e7f087111deed453c275f47a5e3a9,Joint Long-Term Prediction of Human Motion Using a Planning-Based Social Force Approach,"Bosch Corporate Research, Stuttgart, Germany" -36bb93c4f381adca267191811abb8cc7812363f9,Quick retrieval method of massive face images based on global feature and local feature fusion,"Shanghai University School of Communication and Information Engineering Shanghai, China" -36acbadb5b1db1587479fc4595e21e81aaba1f4b,Entropy-cum-Hough-transform-based ear detection using ellipsoid particle swarm optimization,"Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, India" -36acbadb5b1db1587479fc4595e21e81aaba1f4b,Entropy-cum-Hough-transform-based ear detection using ellipsoid particle swarm optimization,"Department of Electronics and Communication Engineering, S.J.B. Institute of Technology, Bangalore, India" -36cf36021540ad81d86d6148b133751d45caeed5,A 2D Personalized Facial Expression Generation Approach,"Department of Computer Science, Xi'an Polytechnic University, China" -3652e841fcd9828f3be9b1e6ba48fa7f1714804d,A Gesture-to-Emotional Speech Conversion by Combining Gesture Recognition and Facial Expression Recognition,"College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China" 36f7db726f4a6eed1ecdfbc78c7eeb16bc2f213d,Vacant Parking Space Detection Based on Plane-Based Bayesian Hierarchical Framework,"Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan" 3633b26502ef1697a59722be794947bc510dd0aa,Elastic Shape Models for Face Analysis Using Curvilinear Coordinates,"Institut Telecom, Telecom Lille1, LIFL (UMR USTL/CNRS 8022), Villeneuve d’Ascq, France" 363f973cbc1e46c6607b945f9ac96cb4a6262c28,Optimal weight selection in matching score fusion based Face Recognition,"Information Engineering and Medical Imaging Group, City University London, London, UK" @@ -6918,103 +4107,58 @@ c67844afb694bae09deb472fc1f97051d43e63d8,3D face reconstruction and multimodal p c69da63f19a75a8cca99a2ab26203d89f18e8786,Scene segmentation and labeling using multi-hypothesis superpixels,"Elektrik-Elektronik Mühendisliği Bölümü, Işık Üniversitesi, İstanbul, TÜRKİYE" c6785dfc407c3b63eda72956c143a5f5caaa4fb5,Developing preferential attention to a speaker: A robot learning to recognise its carer,"Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK" c618d4d60ce16925d4fdb219a7227d0e3575a518,Feature scalability for a low complexity face recognition with unconstrained spatial resolution,"Department of Biomedical Engineering, Jungwon University, Chungcheongbuk-do, Republic of Korea" -c62e4ef5b459827a13cc1f7015dbf33ea7677e06,Real-Time CPU-Based Large-Scale Three-Dimensional Mesh Reconstruction,"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy" -c69de80ac804ce2bf7e47974ee984fd8a745a5d7,Privacy-preserving face detection based on linear and nonlinear kernels,"Information and Technology Department, Nanjing Forest University, Nanjing, China" -c66ecbae0f2bfa7cdbf5082fb8f0567878b4a599,Implement human-robot interaction via robot's emotion model,"Computer and Information System, The University of Aizu, Aizuwakamatsu, Japan" c66ecbae0f2bfa7cdbf5082fb8f0567878b4a599,Implement human-robot interaction via robot's emotion model,"Division of Information System, The University of Aizu, Aizuwakamatsu, Japan" c66ecbae0f2bfa7cdbf5082fb8f0567878b4a599,Implement human-robot interaction via robot's emotion model,"Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan, R.O.C." c61a8940d66eed9850b35dd3768f18b59471ca34,Facial action unit recognition using temporal templates,"Dept. of Mediamatics, Delft Univ. of Technol., Netherlands" c626a9d75dfd73e26cf30793d5ef71527cd9fa95,Novel dataset for fine-grained abnormal behavior understanding in crowd,"Department of Electrical Engineering, Hakim Sabzevari University, Iran" c626a9d75dfd73e26cf30793d5ef71527cd9fa95,Novel dataset for fine-grained abnormal behavior understanding in crowd,"Department of Biomedical Engineering, Hakim Sabzevari University, Iran" -c626a9d75dfd73e26cf30793d5ef71527cd9fa95,Novel dataset for fine-grained abnormal behavior understanding in crowd,"Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genova, Italy" c626a9d75dfd73e26cf30793d5ef71527cd9fa95,Novel dataset for fine-grained abnormal behavior understanding in crowd,"NODET, Iran" c68a956a246f4f96c05a82045cf3202ee7f5a157,Matching Composite Sketches to Face Photos: A Component-Based Approach,"Noblis, Annandale, VA, USA" -c6ccc6e1323bbed1479cb5cb0b75e5675b7cbe5b,Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization,"School of Information Science and Technology Sun Yat-sen University, Guangzhou 510275, China" c6bbb56a26222bdb8ce7dd829cff38b67d4b03cd,Multiple instance learning with missing object tags,"Northwestern Polytechnical University Xian, P. R. China" c68c391be18920ea1c065b714692dd968bf5a15d,Fusing Object Context to Detect Functional Area for Cognitive Robots,Sense Time Group Limited -c65cfc9d3568c586faf18611c4124f6b7c0c1a13,A framework for face classification under pose variations,"Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India" c6588319e03d48f35b0aac0d429f700745e452e9,An experimental evaluation of different face recognition algorithms using closed circuit Television images,"Department of Computer Science & Information Technology, University of Malakand, Khyber Pakhtunkhwa, Pakistan" -c6365f7ae58a4528e01262ad840eff236e77a092,"DIOD: Fast, Semi-Supervised Deep ISAR Object Detection","Graduate School, Air Force Engineering University, Xi’an, China" -c6365f7ae58a4528e01262ad840eff236e77a092,"DIOD: Fast, Semi-Supervised Deep ISAR Object Detection","Shaanxi Rural Commercial Bank Co., Ltd., Shangluo, China" c6d71294962a74492ef190f6d4d33c068f324953,Automated classroom monitoring with connected visioning system,"Faculty of Computing and Information Technology, Tunku Abdul Rahman University College, Setapak, Malaysia" c6920e659f4a1ed744d69952e16530b9860f22a6,An automatic color correction method inspired by the retinex and opponent colors theories,"School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Buk-Gu, Taegu 702-701, Republic of Korea" 4d4dbae1dfb0a79a52df7f06cb1442f71068ce42,Using multiple visual tandem streams in audio-visual speech recognition,"Vision and Pattern Analysis Laboratory, Sabanci University - Faculty of Engineering and Natural Sciences, Istanbul, Turkey" 4d178cc41201681fe9b3e5484fb88ef6dc674ddd,Real time 3D head pose estimation: Recent achievements and future challenges,Computer Vision Laboratory - ETH Zurich -4da2a88355cddba0371040ab3f87104797e7a1fa,Person re-identification by using an iterative sparse ranking method,"Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India" 4d1d5dbfccb2219c547afa347148cfc372c4d998,"A segment-based audio-visual speech recognizer: data collection, development, and initial experiments","MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA" -4dbdf48318339a7ce06317137e7aa664ead783ab,Multiple object tracking based on sparse generative appearance modeling,"LITIV Lab., Polytechnique Montreal" -4d3335465f818e065ffc70db58db43d07b9d265c,Pedestrian classification in partial occlusion,"Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India" 4d80e500f65598358771e4857c8fe29be2354e60,Speaker Verification with Confidence and Reliability Measures,"Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, jonas.richiardi@epfl.ch" 4d5908a27f21d97fbe526d247fceae4c5bbceba0,Robust large scale monocular visual SLAM,"Univ. Bordeaux, CNRS, IMS, UMR 5218, F-33400 Talence, France" 4da00571d3bdca847033a27f0a34000b1b3945e3,Face pose estimation using distance transform and normalized cross-correlation,"Department of Computer Software, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan" 4da00571d3bdca847033a27f0a34000b1b3945e3,Face pose estimation using distance transform and normalized cross-correlation,"Department of Telecommunication, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan" -4d5c179ffdf09255edadb1bb7233e0c23e55b8b4,Multi-scale behavior learning for multi-object tracking,"Haerbin Institue of Technology, Harbin, China" -4d1bdfb6979fc6ca58bc5bbb1f17df074905c220,Multimodal biometrics for enhanced mobile device security,"California State University, Fullerton" 4d1bdfb6979fc6ca58bc5bbb1f17df074905c220,Multimodal biometrics for enhanced mobile device security,"California State University, Fullerton and Binghamton University, Binghamton, NY" -4d1bdfb6979fc6ca58bc5bbb1f17df074905c220,Multimodal biometrics for enhanced mobile device security,"Boeing Company, Huntington Beach, CA" 4da29057449df4de5b4646ae6a46d622b4d7d0ad,Context-Based Path Prediction for Targets with Switching Dynamics,"Department of Environment Perception, Daimler AG, Ulm, Germany" -4d83a25931ff8f73130a4d07e0209fcb3191db4b,Combining texture with geometry for performance enhancement of facial recognition techniques,"Department of M. C. A., St. Xavier's Catholic College of Engineering, Nagercoil, India" -4d83a25931ff8f73130a4d07e0209fcb3191db4b,Combining texture with geometry for performance enhancement of facial recognition techniques,"Department of Computer Science and Engineering, Manonmanium Sundaranar University, Tirunelveli, India" -4d9a02d080636e9666c4d1cc438b9893391ec6c7,The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression,"Disney Research, 4615 Forbes Ave, Pittsburgh, PA 15213, USA" 4d2c1610bea4fd70dac20d270dcd35090c9aadde,Road curb and lanes detection for autonomous driving on urban scenarios,"Computer Engineering Department, Polytechnic School, University of Alcal á, Madrid, Spain" -4d6c3a3f9410ca35eb3389ec7088f5e2c16ec3ea,"Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark","Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia" 4d356f347ab6647fb3e8ed8c2154dbd359e479ed,Extracting and Associating Meta-features for Understanding People’s Emotional Behaviour: Face and Speech,"Wright State University, Dayton, USA" 4d356f347ab6647fb3e8ed8c2154dbd359e479ed,Extracting and Associating Meta-features for Understanding People’s Emotional Behaviour: Face and Speech,"AIIS Inc, Columbus, USA" 4d356f347ab6647fb3e8ed8c2154dbd359e479ed,Extracting and Associating Meta-features for Understanding People’s Emotional Behaviour: Face and Speech,"Department of Psychology and IIASS, Second University of Naples, Caserta, Italy" -4dce568994fb43095067ac893bbc079058494587,Real-time individual 3D facial animation by combining parameterized model and muscular model,"Department of Computer Science and Technology, Wuhan Technology and Business University, 430065, China" -4df1bbbd8cb36c8591ace58616d6f64a4e9edfa5,Face hallucination via Cauchy regularized sparse representation,"National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China" 4da4e58072c15904d4ce31076061ebd3ab1cdcd5,Learning deep facial expression features from image and optical flow sequences using 3D CNN,"School of Electronic and Information Engineering, Inner Mongolia University of Science and Technology, Baotou, People’s Republic of China" 4d799f6e09f442bde583a50a0a9f81131ef707bb,TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores,LinkedIn and Hewlett-Packard Labs 4d799f6e09f442bde583a50a0a9f81131ef707bb,TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores,Google and Hewlett-Packard Labs -4dd1c0aabefc54f2936693d0c19f7e32e967c8d9,Full weighting Hough Forests for object detection,"Computer Vision Lab, Inha University, Inha-ro 100, Nam-gu, Incheon, South Korea" -4d7fe6bb67a1956b1cfcaa7b4e14ad79d64d3fce,Face verification across age progression using facial feature extraction,IIT-M 4d0d5101bb563061e4155ddb7df943a629c49e4b,Performance boosting of a pedestrian detector using multiple cameras,"Laboratory of Autonomous Robotics, Department of Electrical & Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel" 4d101c064323e4e72ca8d95d1b345c4328ed13ea,Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition,"Baidu Big Data Research Laboratory, Sunnyvale, CA, USA" 4d38a43865e0bcc87dc6ad83331539429e00543c,Road lane reconstruction using vision — based macro block spatial predictions,"Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines" 8598aadd321752e7e767fc3c608706f9104fd0e0,Photo annotation: a survey,"Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil" 8598aadd321752e7e767fc3c608706f9104fd0e0,Photo annotation: a survey,"Federal Institute of Education, Science and Technology of Maranhão, São Luís, Brazil" -8598aadd321752e7e767fc3c608706f9104fd0e0,Photo annotation: a survey,"Federal Institute of Education, Science and Technology of Paraiba, Esperança, Brazil" -8598aadd321752e7e767fc3c608706f9104fd0e0,Photo annotation: a survey,"Federal University of Ceará, Fortaleza, Brazil" -850d2697fec9c2bb434907db1c0a11e200f32dbe,Improving Person Re-identification by Body Parts Segmentation Generated by GAN,"Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, 100872, China" -852c48452295e48945779491e9f6b076c66d7eee,Efficient access control system based on aesthetic QR code,"Department of Computer Science and Technology, Xiamen University of Technology, Xiamen, China" -85f641ca9a38cd70392bf6ebd05affcfcd19f13a,BioLab-ICAO: A new benchmark to evaluate applications assessing face image compliance to ISO/IEC 19794-5 standard,"C.d.L. Scienze dell'Informazione - Università di Bologna, via Sacchi 3, 47023 Cesena, ITALY" 855882a5943fc12fa9c0e8439c482e055b4b46f3,Automated Facial Expression Recognition System,"Naval Criminal Investigative Services, NCIS, Washington, DC United States" 855882a5943fc12fa9c0e8439c482e055b4b46f3,Automated Facial Expression Recognition System,"Platinum Solutions, Inc, Reston, Virginia United States" 85c007758e409eb3a9ae83375c7427dd517f4ab9,A feature based technique for face recognition using Mexican hat wavelets,"Department of Electrical and Computer Engineering, University of Victoria, BC V8W3P6, Canada" 85c007758e409eb3a9ae83375c7427dd517f4ab9,A feature based technique for face recognition using Mexican hat wavelets,"Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt" 85feb069aa605caf378d030754c478478729c0a2,"Large-scale, drift-free SLAM using highly robustified building model constraints","CEA LIST, Vision and Content Engineering Lab, Point Courrier 94, Gif-sur-Yvette, F-91191 France" -85feb069aa605caf378d030754c478478729c0a2,"Large-scale, drift-free SLAM using highly robustified building model constraints","Institut Pascal, UMR 6602 CNRS, Clermont-Ferrand, France" -853fc1794892175e2318f55785ca8e2ce6fd7537,FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection,"College of Medical Informatics, Chongqing Medical University, Chongqing, China" -853fc1794892175e2318f55785ca8e2ce6fd7537,FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection,"Department of Art History, Sichuan Fine Arts Institute, Chongqing, China" -85e55a7d2574389c9e9032d9c332dda75d05fb93,Working clothes detection of substation workers based on the image processing,"State Grid Shanxi Electric Power Research Institute, Taiyuan, 030001, China" -85e55a7d2574389c9e9032d9c332dda75d05fb93,Working clothes detection of substation workers based on the image processing,"State Grid Zhangjiakou Power Supply Company, Zhang Jiakou, 075000, China" -85e55a7d2574389c9e9032d9c332dda75d05fb93,Working clothes detection of substation workers based on the image processing,"Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China" 8557914593e8540fcdd9b11aef076f68d41d3b4b,Exemplar codes for facial attributes and tattoo recognition,"Securics, Inc, USA" -85136f57350f29ff299dd13b28885666ae305e57,Improving object visual tracking performance by scene occluder estimation for video surveillance,"Department of Electronic Engineering, The Chinese University of Hong, Kong Hong Kong, China" 850da881833eb87c608f4e3c08be3f367103e839,3D Voxel HOG and Risk Estimation,"Computing and Information Systems, Kingston University London, UK" 85934ee572897ab2da4f294bced88a6531c2fdcc,"A Vision and Speech Enabled, Customizable, Virtual Assistant for Smart Environments","Education and Cultural Studies (COSPECS) University of Messina, Dept. for Cognitive Sciences Psychology, Messina, Italy" 85934ee572897ab2da4f294bced88a6531c2fdcc,"A Vision and Speech Enabled, Customizable, Virtual Assistant for Smart Environments","Electronic and Computer Engineering (DIEEI) University of Catania, Department of Electrical, Catania, Italy" 857c1ba9b7bea644966475bb9d6d4f29d7b13f2d,"A distributed efficient face image screening and retrieval with affine transformations, disguised, and varying facial expressions","Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), ECE Dept., University of Massachusetts Lowell, 01854, USA" 85f6eaa1ed3ae15ec7e777b7f90a277eda38cf7f,Facial expression analysis for emotion recognition using kernel methods and statistical models,"Grupo de Investigación en Automática, Universidad Tecnológica de Pereira" 85f6eaa1ed3ae15ec7e777b7f90a277eda38cf7f,Facial expression analysis for emotion recognition using kernel methods and statistical models,Grupo de Investigación GDSPROC Universidad del Quinío -8536fd81b568b2c9e567adad83be3a048664ade6,Kernel collaborative representation for face recognition,"College of Information and Control Engineering, China University of Petroleum(East China), Qingdao, China" -8544cce3a7f85e4952acf51c464f1fce15250760,3D Face Recognition Using 3D Alignment for PCA,"Sandia National Labs Albuquerque, NM" 85785ae222c6a9e01830d73a120cdac75d0b838a,Multimedia Database Retrieval,"Department of Electrical and Computer Engineering, Naresuan University, Muang, Thailand" 853e86939d05b59b78487ff2a3c1d024a9ceb77f,The effective noise removal techniques and illumination effect in face recognition using Gabor and Non-Negative Matrix Factorization,"Computer Science Department, Bina Nusantara University, Jakarta, Indonesia" 857544746a1d1071739d98718df51936a3488737,GLCM features and fuzzy nearest neighbor classifier for emotion recognition from face,"Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran" 857544746a1d1071739d98718df51936a3488737,GLCM features and fuzzy nearest neighbor classifier for emotion recognition from face,"Faculty of Information Technology Engineering, Tarbiat Modares University, Tehran, Iran" -856b1e24fcf33dbf0e8bbf07e75c2cf712654b5b,Textual Query of Personal Photos Facilitated by Large-Scale Web Data,"Kodak Research Laboratories, Eastman Kodak Company, Rochester" -85754413313949f2fce98bfbcb49a18e5897849a,Prediction of pain intensity using multimedia data,"Rajarshi School of Management and Technology, Varanasi, India" -85754413313949f2fce98bfbcb49a18e5897849a,Prediction of pain intensity using multimedia data,"Faculty of Engineering & Technology, Chattisgarh, India" -85754413313949f2fce98bfbcb49a18e5897849a,Prediction of pain intensity using multimedia data,"Designer at the National Institute of Design, Ahmedabad, India" -85754413313949f2fce98bfbcb49a18e5897849a,Prediction of pain intensity using multimedia data,"Kamala Nehru Institute of Technology, Sultanpur, India" -493c8591d6a1bef5d7b84164a73761cefb9f5a25,User Profiling through Deep Multimodal Fusion,"University of California, Santa Cruz & Ghent University, Santa Cruz, CA, USA" 493c8591d6a1bef5d7b84164a73761cefb9f5a25,User Profiling through Deep Multimodal Fusion,"KU Leuven, Leuven, Belgium" 4959489ce1f092d0d66afdf0c835f1b4e9162d3c,A discriminant color space method for face representation and verification on a large-scale database,"Department of Computer Science, New Jersey, Institute of Technology, Newark, 07102, USA" 490a0174ec7ea3e838754ec883c2aa5ff52f8221,The analysis of hand gesture based cursor position control during solve an IT related task,"CogInfoCom Based LearnAbility Research Group, University of Dunaujvaros, Dunaujvaros, Hungary" -490a0174ec7ea3e838754ec883c2aa5ff52f8221,The analysis of hand gesture based cursor position control during solve an IT related task,"Institute of Engineering, University of Dunaujvaros, Dunaujvaros, Hungary" -49bcb014810ff50edefb20eb1411e8cb3c132b99,Convolutional neural networks for class attendance,"Key Laboratory of Modern Teaching Technology, Ministry of Education, Xian, China" -49bcb014810ff50edefb20eb1411e8cb3c132b99,Convolutional neural networks for class attendance,"School of Computer Science, Shaanxi Normal University, Xi'an, China" 492afe8f07de6225f70b72c922df83effd909334,Automatic landmarking and alignment for facial expression analysis,"Informatics Institute University of Amsterdam, Amsterdam" 49c603c2910bbaaf877d2a0946f5f1448e90bbbb,BIlinear Decomposition of 3-D face images: An application to facial expression recognition,"Informatics and Telematics Institute, Centre for Research and Technology Hellas, 6th Km Charilaou-Thermi Rd, Thessaloniki, Greece 57001" 4905323aaf61952e07f62c18fa662c7da895e40e,Recovering Joint and Individual Components in Facial Data,"Onfido, London, United Kingdom" @@ -7022,8 +4166,6 @@ c6920e659f4a1ed744d69952e16530b9860f22a6,An automatic color correction method in 49862833149ddebc2b2007cb5e417d99ecdb05f1,Learning to propose objects,"Intel Labs, 4720 Forbes Ave, Pittsburgh, PA 15213, United States" 4932b929a2e09ddebedcb1abe8c62f269e7d4e33,Color based vehicle classification in surveillance videos,"Algılayıcılar, Görüntü ve Sinyal İşleme Grubu, HAVELSAN A.Ş. Ankara, Türkiye" 4903156f9f0edae78c24f9b9b3348a3a4d20384f,Automated vision-based analysis of levodopa-induced dyskinesia with deep learning,"TRI-UHN, Toronto, ON, M5G2A2 Canada" -4903156f9f0edae78c24f9b9b3348a3a4d20384f,Automated vision-based analysis of levodopa-induced dyskinesia with deep learning,"TWH-UHN, Toronto, ON, M5S1A8 Canada" -4903156f9f0edae78c24f9b9b3348a3a4d20384f,Automated vision-based analysis of levodopa-induced dyskinesia with deep learning,"TRI-UHN, Toronto, ON M5S2E4 Canada" 49cfb17f3bedb0167a62b6441c6b490b18e5dab0,A novel approach based on high order tensor and multi-scale locals features for 3D face recognition,"LI3C Laboratory, Department of Electrical Engineering, University of Biskra, BP 145 RP, 07000 Biskra., Algeria" 49cfb17f3bedb0167a62b6441c6b490b18e5dab0,A novel approach based on high order tensor and multi-scale locals features for 3D face recognition,"Institut Fresnel, UMR CNRS 7249, Ecole Centrale Marseille, France" 4966961b76fb5615ad3e8ed27c6a859ce08f23b1,Parallel refinement of slanted 3D reconstruction using dense stereo induced from symmetry,"Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg" @@ -7033,38 +4175,25 @@ c6920e659f4a1ed744d69952e16530b9860f22a6,An automatic color correction method in 49358915ae259271238c7690694e6a887b16f7ed,Synthesis of expressive facial animations: A multimodal caricatural mirror,"TELE Lab, Université catholique de Louvain, Belgium" 49358915ae259271238c7690694e6a887b16f7ed,Synthesis of expressive facial animations: A multimodal caricatural mirror,"TALP Research Center, Universitat Politècnica de Catalunya, Spain" 49358915ae259271238c7690694e6a887b16f7ed,Synthesis of expressive facial animations: A multimodal caricatural mirror,"Speech Technology Group, Technical University of Madrid, Spain" -49358915ae259271238c7690694e6a887b16f7ed,Synthesis of expressive facial animations: A multimodal caricatural mirror,"TCTS Lab, Faculté Polytechnique de Mons, Belgium" -49455079e54d7d06fd2d5617507947a31d4f9198,LBANN: livermore big artificial neural network HPC toolkit,"Lawrence Livermore National Laboratory, Livermore, CA" -49a45e5e296815de821a6bd03b2b5d3c0da2cdb7,Environment perception in racing simulators using Deep Neural Networks,"Department of Automation, Transilvania University of Brasov, Romania 500024" 49fe4f387ac7e5852a78b327ec42cc7300c5f8e0,3D model retrieval based on linear prediction coding in cylindrical and spherical projections using SVM-OSS,"Computer Vision Research lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran" -49fb5306f72a0618093753cebb81c82e031e9f9c,Analyzing the performance of Viola Jones Face Detector on the LDHF database,"Electronics and Communication Engineering, Karunya University, Coimbatore, India" 4998462014c907c519ae801af39cf58a4c538bc9,Deformable Model Fitting by Regularized Landmark Mean-Shift,"ICT Center, CSIRO, Sydney, Australia" 4998462014c907c519ae801af39cf58a4c538bc9,Deformable Model Fitting by Regularized Landmark Mean-Shift,"ICT Center, CSIRO, Brisbane, Australia" 495548204b3923d3b1ddf71c805bf6f7f7350ec3,Advances in Visual Computing,"IBM T.J. Watson Research Center, Yorktown Heights, USA" 495548204b3923d3b1ddf71c805bf6f7f7350ec3,Advances in Visual Computing,"Side Effects Software, Santa Monica, USA" -495548204b3923d3b1ddf71c805bf6f7f7350ec3,Advances in Visual Computing,"The DiVE, Durham, USA" 49c5f7b313eb4d7b4442074b9807200ac6aadda5,Biased Discriminant Analysis With Feature Line Embedding for Relevance Feedback-Based Image Retrieval,"Department of Computer Science and Information Engineering, National United University, Miaoli, Taiwan" 49944c8d3f202e96252eeb69c9f7b62ae0b70789,Surround vehicles trajectory analysis with recurrent neural networks,"Laboratory for Intelligent and Safe Automobiles (LISA), University of California, San Diego, USA" 493bc7071e35e7428336a515d1d26020a5fb9015,Automated human behavioral analysis framework using facial feature extraction and machine learning,"Department of Electrical and Computer Engineering, Saginaw Valley State University, University Ctr, MI- 48710" -4939355a627ec5d3be0ea51bcf8bf6137a965230,Speeding Up HOG and LBP Features for Pedestrian Detection by Multiresolution Techniques,"Robotics and Embedded Systems, Technische Universität München, Garching, Germany" -4907a834b176dd9053de35f531e1d87f202cbd31,Flexible Edge Arrangement Templates for Object Detection,"Siemens Corporate Research, yanghai.tsin@siemens.com" 4907a834b176dd9053de35f531e1d87f202cbd31,Flexible Edge Arrangement Templates for Object Detection,"Siemens Corporate Research, yakup.genc@siemens.com" 49ddd4adce09b35f28aa5f79c0f1e1cdf928db45,Affect Recognition in a Realistic Movie Dataset Using a Hierarchical Approach,"HumanTech Institute, University of Applied Sciences, Fribourg, Switzerland" -18855be5e7a60269c0652e9567484ce5b9617caa,Local Centre of Mass Face for face recognition under varying illumination,"Department of Computer Science and Engineering, University of Calcutta, Kolkata, India" -1805001b25b9a260c75b59b230c202ff7df59610,Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection,"DGIST, Daegu, Republic of Korea" -1805001b25b9a260c75b59b230c202ff7df59610,Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection,"KAIST, Daejeon, Republic of Korea" 1805001b25b9a260c75b59b230c202ff7df59610,Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection,"SK Telecom, Seoul, Republic of Korea" 1866d61f6dfe2e7863f50efd5dedd06549ed4b87,Disguised Face Identification Using Face Graph and SVM Classifier,"Intelligent Cognitive Tech. Research Dept., ETRI, Daejeon, Korea" 1866d61f6dfe2e7863f50efd5dedd06549ed4b87,Disguised Face Identification Using Face Graph and SVM Classifier,"Department of Electronics, Kyungil University, Daegu, Korea" 183cf20917780d9f9c6fbeae3fd15afddda7eff0,Project OurPuppet: A system to support people with dementia and their caregiving relatives at home,"Dept. Electrical Engineering and Computer Science, Niederrhein University of Applied Sciences, Krefeld, Germany" -189573971c1ef0893d761be1874de2c33a640fc6,Person re-identification by improved Local Maximal Occurrence with color names,"Changshu Institute of Technology, Changshu, China" 18783a40a99f36b3bc618be6ebf06923fd63efab,Protecting digital fingerprint in Automated Fingerprint Identification System using Local Binary Pattern operator,"Centre de Développement des Technologies Avancées, Division Architecture des Systèmes, Cité 20 Août 1956, BP 17, Baba Hassen, 16303, Algier, Algeria" 18783a40a99f36b3bc618be6ebf06923fd63efab,Protecting digital fingerprint in Automated Fingerprint Identification System using Local Binary Pattern operator,"Centre de Recherche et Développement de la Gendarmerie Nationale, (CRD-GN), Algier, Algeria" -18260aeca5ade8454043f8a2286779d5853b5b32,Discriminant error correcting output codes based on spectral clustering,"Department of Computer Science, Air Force Engineering University, Xi’an, China" 181979ca0f9db45da0d0e456b79165248d611486,Video-based Pain Level Assessment: Feature Selection and Inter-Subject Variability Modeling,"Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece" 181979ca0f9db45da0d0e456b79165248d611486,Video-based Pain Level Assessment: Feature Selection and Inter-Subject Variability Modeling,"University of Burgundy, Le2i Laboratory, Le Creusot, France" 181979ca0f9db45da0d0e456b79165248d611486,Video-based Pain Level Assessment: Feature Selection and Inter-Subject Variability Modeling,"Technological Educational Institute of Crete (TEI), Department of Informatics Engineering, Heraklion, Crete, Greece" -184902b1ed5787a3ac9fd9840dde52502cf4bd3c,Object scene flow for autonomous vehicles,"Leibniz Universität Hannover, Germany" 184902b1ed5787a3ac9fd9840dde52502cf4bd3c,Object scene flow for autonomous vehicles,"MPI Tübingen, Germany" 18252a69fbdcf6d6301cfc939da6decdbecc9fe1,Face detection by color and multilayer feedforward neural network,"Nat. Taipei Univ., Taiwan" 188826d327150d8ca78e8331cfc27023e4df2581,Continuous Audio-Visual Speech Recognition,"IDIAP - Dalle Molle Institute for Perceptual Artificial Intelligence, Martigny, Switzerland" @@ -7073,61 +4202,35 @@ c6920e659f4a1ed744d69952e16530b9860f22a6,An automatic color correction method in 18145b0b13aa477eeabef9ceec4299b60e87c563,Role-based identity recognition for TV broadcasts,"Siemens AG, Corporate Technology, Munich, Germany" 18145b0b13aa477eeabef9ceec4299b60e87c563,Role-based identity recognition for TV broadcasts,"Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany" 18145b0b13aa477eeabef9ceec4299b60e87c563,Role-based identity recognition for TV broadcasts,"Fraunhofer Institute for Telecommunications, Berlin, Germany" -186e933fb752b5644b4ea6fa3007ff76b6bf125d,Multiview Matching of Articulated Objects,"Dipartimento di Informatica Bioingegneria Robotica e Ingegneria dei Sistemi, Università degli Studi di Genova, Genoa, Italy" 188d823521b7d00abd6876f87509938dddfa64cf,Articulated pose estimation with flexible mixtures-of-parts,"Dept. of Computer Science, University of California, Irvine" -18ae7c9a4bbc832b8b14bc4122070d7939f5e00e,Overview of the face recognition grand challenge,"National Inst. of Stand. & Technol., Gaithersburg, MD, USA" 1834de2fdc73c52779cc2159a07d88c247d3f60b,Facial expression recognition by using crossing point distribution,"Biomedical Engineering Programme, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand" 1834de2fdc73c52779cc2159a07d88c247d3f60b,Facial expression recognition by using crossing point distribution,"Dept. of Mechanical Engineering, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand" 1834de2fdc73c52779cc2159a07d88c247d3f60b,Facial expression recognition by using crossing point distribution,"Dept. of Information Science, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan" -18f8aa212165426c3862ca65bda1d69c655ec273,A relative 3D scan and construction for face using meshing algorithm,"Department of Computer Science, Dr P G Halakatti Post Graduate Centre, “Vachana Sangama”, Rani Channamma University, Vijayapur, India" -18f8aa212165426c3862ca65bda1d69c655ec273,A relative 3D scan and construction for face using meshing algorithm,"Department of Computer Science & Engineering, BLDEA’s V. P. Dr. P. G. H. College of Engineering & Technology, Vijayapur, India" 185e88da3d3c0aa104ba14a6bb4f5254aff8e8eb,Face sketch recognition system: A content based image retrieval approach,"Department of Computing, Faculty of sciences, Ibn Tofail University, Kenitra, Morocco" 189ae7cba20024fac64a21d90e539f2c2a1765ad,Statistical transformations of frontal models for non-frontal face verification,"IDIAP Res. Inst., Martigny, Switzerland" -187110ea2bb38456b73fc50399bd7ce5f622702a,Discriminative Least Squares Regression for Multiclass Classification and Feature Selection,"National Laboratory of Pattern Recognition, Institute of Automation, Academy of Sciences, Beijing, China" 18638b148424081fc36f63755feeee6e30285f87,Eye-verifier using ternary template for reliable eye detection in facial color images,"Computer Vision Lab., INHA University, Incheon, Korea" -1846ac363068d2db9433fae60a65dc6ee92c2c23,Research and Implementation of Fast Identity Registration System Based on Audio-visual Fusion,"Shenzhen Academy of Robotics, Shenzhen, China" -48121f5937accc8050b0c9bf2be6d1c58b07a8a0,Multi-pose face recognition by dynamic loss weights,"College of Information Engineering China Jiliang University, HangZhou, China 310018" 4820e34baf57e7b3d8d70df915c1710e6e93d631,A real-time multi-class multi-object tracker using YOLOv2,Poongsan Defense R&D Institute -4897bb843f0f397d150f4c210a3bd9990db881e3,Face recognition based on an improved center symmetric local binary pattern,"School of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China" 4897bb843f0f397d150f4c210a3bd9990db881e3,Face recognition based on an improved center symmetric local binary pattern,"Department of Electrical and Electronic Engineering, Imperial College, London, UK" -4897bb843f0f397d150f4c210a3bd9990db881e3,Face recognition based on an improved center symmetric local binary pattern,"State Key Laboratory of Smart Grid Protection and Control, Nanjing, China" -48e681ee58b2615500cad3c69046bfa0f0400a33,LDAHash: Improved Matching with Smaller Descriptors,"Technion - Israel Institute of Technology, Haifa" -481e0cb49c1c0340c8a4d9eb31859e3ccf04772a,3D Object Localisation from Multi-View Image Detections,"Visual Geometry and Modelling (VGM) Lab, Istituto Italiano di Tecnologia, Genova, Italy" 48c9898a14191c478d623550fbb73fbea92309aa,Robust face recognition from single training image per person via auto-associative memory neural network,"College of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu, P. R. China" 48c9898a14191c478d623550fbb73fbea92309aa,Robust face recognition from single training image per person via auto-associative memory neural network,"Department of Information and Technology, Nanjing College of Forestry Police, Nanjing 210046, Jiangsu, P. R. China" 489a91bbe01a5bad1d333dc1d0d15afa7e712ff0,"0, 1, 2, many — A classroom occupancy monitoring system for smart public buildings","University of Bologna, Bologna, Italy" 489a91bbe01a5bad1d333dc1d0d15afa7e712ff0,"0, 1, 2, many — A classroom occupancy monitoring system for smart public buildings","University of Bologna - Bologna, Italy, ETHZ - Zürich, Switzerland" 489bbd771728df3a5533cac8a98e51c950ebb1f9,A combined motion and appearance model for human tracking in multiple cameras environment,"Université de Lyon, CNRS, Université Lumière Lyon 2, LIRIS, UMR5205, France" -485f42b9bf3c5b63b52c34f7f3069a685b355a5d,Masked projection for 3D face recognition under occlusion,"Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda" 48901e44cd3e17efcfc9866982f8bd7b2c26b99d,Nonlinear Fuzzy Robust PCA on Shape Modelling of Active Appearance Model for Facial Expression Recognition,"Universitas Indonesia, Depok, Indonesia" -4863333b9e5f25423e273a0581de3edee8bb3b97,Sparse random encoder for age invariant face recognition,"Faculty of Computers and Information Sciences, Mansoura University, Egypt" 4848a48a2b8bacd2092e87961cd86818da8e7151,Comparative evaluation of facial fiducial point detection approaches,"Department of Systems and Computing, Federal University of Campina Grande, Av. Apríigio Veloso, 882, 58429-900 Campina Grande, PB, Brazil" 48fd03f97ea949b6b7f44d8db86ecfe3d62c49dd,Application and Evaluation of a 2D+3D Face Authentication System,"Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. filareti@iti.gr" 48fd03f97ea949b6b7f44d8db86ecfe3d62c49dd,Application and Evaluation of a 2D+3D Face Authentication System,"Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. malasiot@iti.gr" 4883baacb405dad3635a5e564b68f3190140c79c,Adaptive weighted orthogonal matching pursuit for robust pattern classification,"School of Computer, Electronics and Information, Guangxi University" -483bccc11ef1e665b8e2597f8e4e5f90a7116c40,Expression invariant fragmented face recognition,"Robotics and Artificial Intelligence Lab, Indian Institute of Information Technology, Allahabad, 211012 (U.P), India" -48857fa69a4c4e3dced3f6c5b60ec29b6e621feb,Shape based detection and retrieval,"Mepco Schlenk Engineering College, Sivakasi, Virudhunagar, India" 485c869aa24c3241dbaaa5d4f0b5f696ee4ef77c,Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain,"UCL Interaction Centre University, College London London, United Kingdom" 485c869aa24c3241dbaaa5d4f0b5f696ee4ef77c,Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain,"Dept. Clinical Psychology University, College London London, United Kingdom" -48674565d0737bb422406d757c02042759b635ae,A benchmark for semantic image segmentation,"Danang University of Technology, Vietnam" -48cf1105eca8049e8625c5b30a69620b2381589c,"Recognizing emotions from videos by studying facial expressions, body postures and hand gestures","University ""Politehnica"" Bucharest, Department of Telecommunications, Romania, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania" -0779ed1e4165803287cf711f4a733d4f98d6827d,Face recognition using weber local circle gradient pattern method,"College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, China" 07a8926c99d719c4f4f6067e4479e5d1f598779a,Combining modality-specific extreme learning machines for emotion recognition in the wild,"Boǧaziçi University, Istanbul, Turkey" -072c5665b700c7b5da541bbe7dace1ecc870ab8a,Statistical analysis-based DCT method for face recognition,"Ideal Institute of Information and Technology, Northeast Normal University, NENU, Changchun, China" -072c5665b700c7b5da541bbe7dace1ecc870ab8a,Statistical analysis-based DCT method for face recognition,"Engineering & Research Center of E-learning, Changchun, China" 07909972d01df8edbb4b9c9c28c46a1c71556549,Dense point-to-point correspondences between 3D faces using parametric remeshing for constructing 3D Morphable Models,"Institute for Human-Machine Communication, Technische Univerität München, Arcisstr. 3, 80333 Munich, Germany" -07f47b063577afc98c6717d6bb046fe72aa75b12,Online multiperson tracking with occlusion reasoning and unsupervised track motion model,"Centre for Secure Information Technologies (CSIT), Queen's University Belfast" 0707316cac06f02a18019595a43b98ff8d56e63f,A robust UAV landing site detection system using mid-level discriminative patches,"Image and Video Laboratory, Queensland University of Technology (QUT), Brisbane, Australia" 072457191c91a50bd16df6d211380c9fcc21a057,Tracking-by-detection of multiple persons by a resample-move particle filter," Goi Eskola Politeknikoa, Mondragon Goi Unibertsitatea, Mondragon, Spain" -072457191c91a50bd16df6d211380c9fcc21a057,Tracking-by-detection of multiple persons by a resample-move particle filter,"Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France" 0750abc650a197b30246159b03d06c1e8cbc5e53,Semantic tie points,"Microsoft Photogrammetry Graz, Austria" -070d945a9aaa064b8831b6dba18d5924a51f3fb3,An efficient post-processing approach for dimensionality reduction methods for face recognition,"Laboratory ISA Faculty of Science and Technology, Fez, Morocco" 070d945a9aaa064b8831b6dba18d5924a51f3fb3,An efficient post-processing approach for dimensionality reduction methods for face recognition,"Laboratory LIIAN Faculty of Science Dhar EL Mahraz, Fez, Morocco" -074e5e8cb359b54142b234a39a40ce898188e4d9,A review: Face recognition techniques for differentiate similar faces and twin faces,"Dept. of CSE SCSVMV University Kanchipuram, Tamil Nadu, India" -074e5e8cb359b54142b234a39a40ce898188e4d9,A review: Face recognition techniques for differentiate similar faces and twin faces,"Dept. of IT SCSVMV University Kanchipuram, Tamil Nadu, India" 0701b01bc99bf3b64050690ceadb58a8800e81ed,Facial expression recognition through modeling age-related spatial patterns,"Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology, University of Science and Technology of China Hefei, Anhui, People’s Republic of China" 0701b01bc99bf3b64050690ceadb58a8800e81ed,Facial expression recognition through modeling age-related spatial patterns,"Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA" -076d909aa2674b29fcbf09b5cd5c200926710c3d,Efficient image search using hybride features and TCH,"Computer Science and Engineering, G. H. Raisoni College of Engineering, Nagpur (MS), India" 07ac2e342db42589322b28ef291c2702f4a793a8,An empirical study of context in object detection,"University of Illinois Urbana-Champaign, USA" 0781a36b81d40595e8b38696677c836509ec6dc6,Face recognition using SIFT descriptors extracted from multiresolution images,"Elektrik ve Elektronik Mühendisliği Bölümü, Lefke Avrupa Üniversitesi, KKTC" 0781a36b81d40595e8b38696677c836509ec6dc6,Face recognition using SIFT descriptors extracted from multiresolution images,"Elektrik ve Elektronik Mühendisliği Bölümü, Doğu Akdeniz Üniversitesi, KKTC" @@ -7136,26 +4239,13 @@ c6920e659f4a1ed744d69952e16530b9860f22a6,An automatic color correction method in 071305535de1c6f6ac820fc0b3a5f1e67261869c,Study of image-based expression recognition techniques on three recent spontaneous databases,"ComS2IP Group, School of Electrical and Electronic Engineering, University of Newcastle upon Tyne, NE1 7RU, UK" 07a65c9368d41a07e9ff1065e5a76d69178008f7,Learning a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking,"Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia" 079a0b0db150b6bed24e06e3ad00a73c9fbe00a8,Convolutional neural network acceleration with hardware/software co-design,"College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar" -0786a6d5ce6db8a68cef05bb5f5b84ec1b0c2cde,Naming faces in broadcast news video by image google,"Graduate University of Chinese Academy of Sciences, Beijing, China, and China-Singapore Institute of Digital Media" -071f824aeb7dd87955727f612e4dc5e8536db3b5,Mirror Mirror on the Wall... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization,"University of Central Lancashire, Preston, U.K." 071f824aeb7dd87955727f612e4dc5e8536db3b5,Mirror Mirror on the Wall... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization,"CNR IFC-Institute of Clinical Physiology, Pisa, Italy" 071f824aeb7dd87955727f612e4dc5e8536db3b5,Mirror Mirror on the Wall... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization,"CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy" -071f824aeb7dd87955727f612e4dc5e8536db3b5,Mirror Mirror on the Wall... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization,"CNR ISM-Institute of the Structure of Matter, Roma, Italy" -071f824aeb7dd87955727f612e4dc5e8536db3b5,Mirror Mirror on the Wall... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization,"Linköping University, Linköping, Sweden" -071f824aeb7dd87955727f612e4dc5e8536db3b5,Mirror Mirror on the Wall... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization,"Institute of Computer Science, Foundation for Research and Technology—Hellas, Heraklion, Greece" -9c75db3d0abcccef5113db7bafe2fe5ab0559dab,Heterogeneous Similarity Learning for More Practical Kinship Verification,"Huaiyin Normal University, Huai’an, China" -9c75db3d0abcccef5113db7bafe2fe5ab0559dab,Heterogeneous Similarity Learning for More Practical Kinship Verification,"Yancheng Institute of Technology, Yancheng, China" -9c641dd3ec81b1976ee6ad4c76eb1f9a6d5eb882,Oriented Gradient Context for pedestrian detection,"College of Information Technology, Zhejiang Chinese Medical University, Hangzhou, China" 9c81d436b300494bc88d4de3ac3ec3cc9c43c161,Discriminative unsupervised 2D dimensionality reduction with graph embedding,"Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary" -9ce2fd6ae16b339886d0ce237faae811230c8ce6,A real time emotional interaction between EEG brain signals and robot,"Tikkurila Oyj, Vantaa, Finland" -9cb5563413dc00dfd24121939fbe27308f4ca031,Multi-frame motion compensation using extrapolated frame by optical flow for lossless Video Coding,"Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba, 278-8510, Japan" 9cc495bccf03ef14580be951f8ceb36f712cbc7a,Adaptive feature selection and data pruning for 3D facial expression recognition using the Kinect,"Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA" 9c265d5c870b46bef8526ec7eaf0f9022a9736e7,Bayesian methods for face recognition from video,"Sharp Laboratories of America, 5750 NW Pacific Rim Blvd., Camas, WA 98607, USA" -9c2a18691e28a6112cced694564247f56f5c97f3,Learning to look up: Realtime monocular gaze correction using machine learning,"Skolkovo Institute of Science and Technology (Skoltech), Novaya Street 100, Moscow Region, Russia" 9ccca698224219cf48068a0d1df111ce209a0ebe,Semi-Supervised and Unsupervised Extreme Learning Machines,"College of Business Administration, University of Alabama in Huntsville, Huntsville, AL, USA" -9cf3dae2c64f2935b3562364c15eb3b34fe5213d,From Local Geometry to Global Structure: Learning Latent Subspace for Low-resolution Face Image Recognition,"School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an Shaanxi, China" 9c8016b09fdb70857f3785e227a01cdc85685b55,Smartphone controlled WSN for a smart home,"Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Tshwane, South Africa" -9c16a974756ca43b2bf628358ddb08210857f464,Efficient calculation of the complete optimal classification set,"Control Syst. Centre, UMIST, Manchester, UK" 9c54c038664ec0c167211e9855a2275a97101708,Tracking Human Pose Using Max-Margin Markov Models,"Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia" 9c431d325f8a889ab19350cc71f89030107f7301,Lip feature extraction and reduction for HMM-based visual speech recognition systems,"Department of Electrical Engineering, Sajaad University, Mashhad, Iran" 9cd5d74e3db99ae329aaa30e6716653e9580cd76,Elastic Alignment of Triangular Surface Meshes,"Institute of Informatics, University of Szeged, Szeged, Hungary" @@ -7165,120 +4255,69 @@ c6920e659f4a1ed744d69952e16530b9860f22a6,An automatic color correction method in 9c6c8e651913e0d0f58afc8348ced373c386a880,A face recognition scheme based on spatial correlation function,"Dept. of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh" 9c59214c0d9d06e6470121b48751e2ed72a3b6c2,Classification algorithms for interactive multimedia services: a review,"Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, Tainan, R.O.C." 9c59214c0d9d06e6470121b48751e2ed72a3b6c2,Classification algorithms for interactive multimedia services: a review,"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, R.O.C." -9ccaa13a577b20e88420d0a4b8c9545d5560261d,Spatial Data Mining,"School of software, Beijing Institute of Technology, Beijing, China" d78fb5e8da040b7f20546122093e50812ede8b37,State Preserving Extreme Learning Machine: A Monotonically Increasing Learning Approach,"Department of Electrical and Computer Engineering, Universtiy of Dayton, Dayton, USA" d7f22666206258c206c4634ad9b22f95e44504f5,Iterative refinement of multiple targets tracking of solar events,"Department of Computer Science, Georgia State University, P.O. Box 5060, Atlanta GA 30302-5060, USA" d77fbaab4f3883d8c08862b2d47362884ed98624,Video camera and capacitive sensor data fusion for pedestrian protection systems,"Technische Hochschule Ingolstadt, Institute for Applied Research (IAF) Esplanade 10, 85049 Ingolstadt" d781a60f7090222631c555b87da02ced570caabe,Site-adaptive face recognition,"Visualization and Computer Vision Laboratory, General Electric Global Research Center, 1 Research Circle, Niskayuna, NY, 12309" d79774d739fa80a07c0e2a60fc2b953b1e8869c3,Towards practical space-variant based face recognition and authentication,"POLCOMING, University of Sassari Viale Mancini 5-07100 Sassari - Italy" -d7173d9dc87234211050f2d2c38ddc78306ac1ef,Model-Assisted Multiband Fusion for Single Image Enhancement and Applications to Robot Vision,"Department of Civil and Environmental Engineering, KAIST, Daejeon, South Korea" -d79530e1745b33f3b771d0b38d090b40afc04191,A new method to estimate ages of facial image for large database,"College of Computer Science and Technology of Huaqiao University, Xiamen, China" d7361c34e180392e62552c463cf8abad9813719b,Multimodal Selfies: Designing a Multimodal Recording Device for Students in Traditional Classrooms,"Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador" d7361c34e180392e62552c463cf8abad9813719b,Multimodal Selfies: Designing a Multimodal Recording Device for Students in Traditional Classrooms,"Escuela Superior Politecnica del Litoral, Guayaquil, Ecuador" -d7b4d741b1dd4fb3f278efa5fdf2a5d8523caa0e,Automatic detection of facial feature points in image sequences,"MNIT Jaipur, India" -d7b4d741b1dd4fb3f278efa5fdf2a5d8523caa0e,Automatic detection of facial feature points in image sequences,"CEERI Pilani, India" d778c46657a974e6e87df82b7ee2ced8e5c6f151,Face recognition under varying facial expression based on Perceived Facial Images and local feature matching,"Laboratoire d'InfoRmatique en Image et Systèmes, d'information (LIRIS) Université de Lyon, CNRS, Ecole Centrale Lyon (ECL)" -d7c279661dcb2c83ee63f149db3be7f0771237f5,3D head pose and gaze tracking and their application to diverse multimodal tasks,"Idiap Research Institute and École Polytechnique Fédérale de Lausanne, Martigny, Valais, Switzerland" -d724c43d8f17e76a1fa73c3b685dec9308d106fd,PRedictive Intelligence in MEdicine,"Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)" -d7dd35a86117e46d24914ef49ccd99ea0a7bf705,SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding,"IRISA, Université de Bretagne Sud, Vannes, France" d7dd35a86117e46d24914ef49ccd99ea0a7bf705,SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding,"Costel, Université de Rennes 2, Rennes, France" -d7dd35a86117e46d24914ef49ccd99ea0a7bf705,SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding,"NLPR, Institute of Automation, Chinese Academy of Science, Beijing, People’s Republic of China" d7dd35a86117e46d24914ef49ccd99ea0a7bf705,SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding,"CEA (iRSTV/BGE), INSERM (U1038), CNRS (FR3425), Université Grenoble-Alpes, Grenoble, France" d7c27a0b9d21480d34d43b58ec1edf40f1181747,Person detection in surveillance environment with HoGG: Gabor filters and Histogram of Oriented Gradient,"Rey Juan Carlos University, C. Tulipán, S/N, Móstoles, Madrid, Spain, 28933" d76f9f0e8f3f39553ecafd311d55bb4964fe13d8,Plain objects detection in image based on a contour tracing algorithm in a binary image,"Computer System Department, Belarusian State University of Informatics and Radioelecrtronics, 6 P. Brovka st, Minsk, Belarus" -ea5fdb7f6c2e94d1a67bff622c566ddc66be19ab,Face recognition based on convolutional neural network and support vector machine,"Department of Mechatronics Engineering and Automation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong Province, China" ea672c7b77228ca570aab7888b96de7952b2b21b,Effective part definition for gait identification using gait entropy image,"Dept. of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh" ea672c7b77228ca570aab7888b96de7952b2b21b,Effective part definition for gait identification using gait entropy image,"Dept. of Applied Physics and Electronic Engineering, University of Rajshahi, Rajshahi, Bangladesh" ea672c7b77228ca570aab7888b96de7952b2b21b,Effective part definition for gait identification using gait entropy image,"Dept. of Computer Science and Engineering Pabna University of Science and Technology, Pabna, Bangladesh" -eaa42e78fd94447534a2e1114fe5bf64d4604169,Classification of tumor histopathology via sparse feature learning,"Life Sciences Division, Lawrence Berkeley National Laboratory, California, U.S.A." eaa42e78fd94447534a2e1114fe5bf64d4604169,Classification of tumor histopathology via sparse feature learning,"Center for Comparative Medicine, University of California, Davis, U.S.A." -eaa42e78fd94447534a2e1114fe5bf64d4604169,Classification of tumor histopathology via sparse feature learning,"Center for Spatial Systems Biomedicine, Oregon Health Sciences University, Portland, U.S.A." -ea20ebb611690e4ed191a6f497c79f6aa2864d90,Curved Gabor Projection Entropy for Face Recognition,"Federal University of Piauí, Teresina, Brazil" eae04b2343fb2852b67c69b43dcae87c6cf313f3,Two-view face recognition using Bayesian fusion,"Tang Department of Communication Engineering, National Central University Jhongli City, Taoyuan County 32001, Taiwan" -ea5a020e64107c75f2f723967af5ad3b97fb2ec3,Multi-scale correlation tracking with convolutional features,"PLA University of Science and Technology (PLAUST), Nanjing, China" eab53c9e3e8442050aa6ad97003f2356a365adaa,Extreme learning machine autoencoder for data augmentation,"Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco - Brazil" -ea72e537ac714d015c802280345957b40a262da4,HRM graph constrained dictionary learning for face image super-resolution,"Collaborative Innovation Center of Geospatial Technology, Wuhan, China" -ea72e537ac714d015c802280345957b40a262da4,HRM graph constrained dictionary learning for face image super-resolution,"Department of Digital Media Technology, Huanggang Normal University, Huangzhou, China" ea5645229264b0925708a09994555756498316a1,Modulation of locus coeruleus activity by novel oddball stimuli,"Department of Experimental Psychology, Ghent University, Ghent, Belgium" -eaeababea109602e6bd4fd0aceaf94b3f6c91070,Selecting the Principal Feature Components in the Three-dimensional Parameter Space for Face Recognition,"Department of Automatic Test and Control, Harbin Institute of Technolog, Harbin, China" -eaeababea109602e6bd4fd0aceaf94b3f6c91070,Selecting the Principal Feature Components in the Three-dimensional Parameter Space for Face Recognition,"Department of Information Management, Cheng Shiu University China" eaeababea109602e6bd4fd0aceaf94b3f6c91070,Selecting the Principal Feature Components in the Three-dimensional Parameter Space for Face Recognition,"Department of Electronic Engineering National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan.China" ea2e15492a0080b90b1fede934bf3eb7b50e472d,A New Metric for Evaluating Semantic Segmentation: Leveraging Global and Contour Accuracy,"INRIA Sophia Antipolis - Méditerranée. 2004 Route des Lucioles - BP93, Sohpia Antipolis, 06902, France" ea2e15492a0080b90b1fede934bf3eb7b50e472d,A New Metric for Evaluating Semantic Segmentation: Leveraging Global and Contour Accuracy,"University of Sao Paulo - ICMC/USP, Brazil" eac847b4f1299196e5ffb6e829670830193cfe1d,Usage of HoG (histograms of oriented gradients) features for victim detection at disaster areas,"Yildiz Technical Univeristy, Computer Eng. Dept. İstanbul, Turkey" ea7fd75c904430d6c062c770d9a740fd0aa8751c,Video Facial Expression Recognition Based on Multi-angle Feature Fusion,"School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China and Anhui Institute ..." -ea7fd75c904430d6c062c770d9a740fd0aa8751c,Video Facial Expression Recognition Based on Multi-angle Feature Fusion,"School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China" -ead955a336df22f4d5f9e467dab1fe87542d7f9d,Collaborative representation with HM-LBP features for palmprint recognition,"School of Information Science and Engineering, Shandong Agricultural University, Taian, China" -ea47705d5d3ce77d05c7b1bef551a18408671aa0,Logo detection in images using HOG and SIFT,"Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia" -ea2d3a58982bfcf5b22986da513eadf2e74cbf4e,Abnormal event detection via covariance matrix for optical flow based feature,"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China" -ea2d3a58982bfcf5b22986da513eadf2e74cbf4e,Abnormal event detection via covariance matrix for optical flow based feature,"Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France" eac97959f2fcd882e8236c5dd6035870878eb36b,Adaptive ranking of facial attractiveness,"Department of Computer Science and Engineering, University of Califonia, San Diego" -ea1eeefb676d39b5f456937f8894311587cc7c2f,A comparative analysis of face annotation schemes for web facial images in social networks,"M.kumarasamy college of Engineering, Thalavapalayam, Karur, India" -ea1eeefb676d39b5f456937f8894311587cc7c2f,A comparative analysis of face annotation schemes for web facial images in social networks,"ME Communication Systems M.Kumarasamy College of Engineering, Thalavapalayam, Karur, India" -ea8bf8924e15607d959ae822f428815a9d435f3b,MMA: a multi-view and multi-modality benchmark dataset for human action recognition,"Key Laboratory of Computer Vision and System, Tianjin University of Technology Ministry of Education, Tianjin, China" -ea8bf8924e15607d959ae822f428815a9d435f3b,MMA: a multi-view and multi-modality benchmark dataset for human action recognition,"Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China" eae17f9364f3838b23cf5cb53ce6be0f1d3d931c,Object counting in a single surveillance image,"Dept. of Mathematics and Scientific Computing, IIT Kanpur, Uttar Pradesh, India-208016" eae17f9364f3838b23cf5cb53ce6be0f1d3d931c,Object counting in a single surveillance image,"Dept. of Electrical Engineering, IIT Kanpur, Uttar Pradesh, India-208016" ea924c634d6079ad0bfad08c2e916445f9944425,Robust motion estimation using covariance intersection,"Cranfield University, Shrivenham SN6 8LA, United Kingdom" -ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd,Age group classification in the wild with deep RoR architecture,"North China Electric Power University Department of Electronic and Communication Engineering Baoding, Hebei, China" ea227e47b8a1e8f55983c34a17a81e5d3fa11cfd,Age group classification in the wild with deep RoR architecture,"University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA" eacc648388f577c95792f6090eba43ef5a85a47c,Toward Optimal Fusion Algorithms With Security Against Wolves and Lambs in Biometrics,"Yokohama Research Laboratory, Hitachi, Ltd., Yokohama, Japan" ea7d9a72e5f804567da3e9d937bd7d240c546d06,"Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency","Department of Computing and Information Systems, University of Melbourne, Parkville, Australia" -ea7d9a72e5f804567da3e9d937bd7d240c546d06,"Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency","Data61, CSIRO, Canberra, Australia" -700bafb57112febd5d5712f474b0ecc39379320c,Deep Deformable Patch Metric Learning for Person Re-Identification,"Disney Research, Pittsburgh, PA, USA" 70998e14f795d82e367d890aae5476a91472f268,The Attribution of Emotional State - How Embodiment Features and Social Traits Affect the Perception of an Artificial Agent,"Department of Information Technology, Uppsala University, Sweden" 70998e14f795d82e367d890aae5476a91472f268,The Attribution of Emotional State - How Embodiment Features and Social Traits Affect the Perception of an Artificial Agent,"LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, 75013, France" 70998e14f795d82e367d890aae5476a91472f268,The Attribution of Emotional State - How Embodiment Features and Social Traits Affect the Perception of an Artificial Agent,"CNRS UMR7222, Sorbonne Université, Institut des Systèmes Intelli-gents et de Robotique, Paris, France" 707d6fcbcd64e489b660476c7d87e5b2dffc9c10,Bin Ratio-Based Histogram Distances and Their Application to Image Classification,"Department of Computer Science and Information Systems, Birkbeck College, Malet Street, London, Berkshire, United Kingdom" 70c54f9bb5ba03821dba15225eefeb14a75e913f,Eye detection based on the Viola-Jones method and corners points,"LSI, Department of Mathematics, Physics and Computer Science, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza, Morocco" 70c54f9bb5ba03821dba15225eefeb14a75e913f,Eye detection based on the Viola-Jones method and corners points,"LIIAN, Department of Mathematics and Computer Science, Faculty of Science, Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco" -70bf51aada8c2d2fabef7cff29f9cb6da423ef50,Human detection and localization in secure access control by analysing facial features,"Discipline of Business Analytics, University of Sydney Business School, Camperdown, NSW 2006, Australia" -70cb286bd9e5ca57b4b3f56b0c801a209804b552,An automatic video surveillance indexing based on facial feature descriptors,"Laboratory of Computer Systems and Vision, Faculty of Science, Ibn Zohr University, Agadir-80000, Morocco" -708ccbc563c9da72137800ed86949c4c6e1a0fdd,Vehicle Re-Identification Based on Coupled Dictionary Learning,"Kunming University of Science and Technology, Kunming, China" 704d5572e7d5a97ddbc3c9436dc0ea785a600dc8,An efficient discriminant techniques for face recognition,"Department of ECE, UCEK, JNTUK, Kakinada" 7046611b1b7a8054801e513cdd89926b63f1027f,Structural Constraint Data Association for Online Multi-object Tracking,"Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea" 7046611b1b7a8054801e513cdd89926b63f1027f,Structural Constraint Data Association for Online Multi-object Tracking,"Electrical Engineering and Computer Science, University of California at Merced, Merced, USA" 70c25293e33f5c37143ae20e3b0198a68083a5ed,The eNTERFACE’05 Audio-Visual Emotion Database,"Université catholique de Louvain, Belgium" 70c2c2d2b7e34ff533a8477eff9763be196cd03a,Selecting discriminative CLBP patterns for age estimation,"IPLAB, Department of Mathematics and Computer Science, University of Catania, Italy" -707aba1159407acdc549311395f909d0d9da2b9f,Multilinear-CLAFIC methods for tensor data in image recognition,"Elektrik ve Elektronik Mühendisli¿i Bölümü, Eski¿ehir Osmangazi Üniversitesi, Turkey" -705a61f5e2d31a2382f3f07d1669755284d8407d,Illumination robust single sample face recognition based on ESRC,"College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, People’s Republic of China" 70d64970a44c093e9756936fbbf1d88acb04dec5,Tag-based web photo retrieval improved by batch mode re-tagging,"School of Computer Engineering, Nanyang Technologicial University, Singapore" -70d64970a44c093e9756936fbbf1d88acb04dec5,Tag-based web photo retrieval improved by batch mode re-tagging,"Kodak Research Laboratories, Eastiman Kodak Company, Rochester, USA" -70502590316b61180fdee7ac21f740d1c836c929,DT- CWT sub-band partitioning for face recognition,"Electronics and Comm. Dept., Kakatiya University, Warangal, India" -70502590316b61180fdee7ac21f740d1c836c929,DT- CWT sub-band partitioning for face recognition,"Electronics and Comm. Dept., Jawaharlal Nehru Technological Univ., Hyderabad, India" 70b23c6d8c713f5663603343b19ea5873b6696cc,Machine learning in tracking associations with stereo vision and lidar observations for an autonomous vehicle,"VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy" 7010c55055aae36edc121befce125ea04f0fc52c,Feature selection for person-independent 3D facial expression recognition using NSGA-II,"Computer Engineering Department, Cyprus International University, Lefko¿a, North Cyprus" -7085d21f483743007cc6a8e3fa01d8bdf592ad33,Face recognition using Eigenfaces-Fisher Linear Discriminant and Dynamic Fuzzy Neural Network,"School of Computer and Information Science, Southwest China University, Chongqing, China" -7085d21f483743007cc6a8e3fa01d8bdf592ad33,Face recognition using Eigenfaces-Fisher Linear Discriminant and Dynamic Fuzzy Neural Network,"Institute of Logic and Intelligence, Southwest China University, Chongqing, China" 70d8bda4aafb0272ac4b93cd43e2448446b8e94d,Using SVM to design facial expression recognition for shape and texture features,"Department of Information Management, National Formosa University, Huwei, Yulin 632, Taiwan" 70f6c967d01636a5e166f03fc9584311cc66669a,Road terrain detection: Avoiding common obstacle detection assumptions using sensor fusion,"Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, SP Brazil" -70f6ef15237f3b3f563712a6d269f4a4a17f0af0,Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation,"Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China" 70f6ef15237f3b3f563712a6d269f4a4a17f0af0,Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation,"Global Big Data Technologies Centre, University of Technology at Sydney, Sydney, NSW, Australia" 7081958a390d3033f5f33e22bbfec7055ea8d601,Learning Distributions of Image Features by Interactive Fuzzy Lattice Reasoning in Pattern Recognition Applications,"Dept of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece" -5db08701e6a8173ada652309c09d1262f9df7f9b,Ranking Optimization for Person Re-identification via Similarity and Dissimilarity,"Wuhan Univeristy, Wuhan, China" -5dce578c8bc819592c9ec7bfab6302bbcd9a3f3d,Facial Complex Expression Recognition Based on Fuzzy Kernel Clustering and Support Vector Machines,"Xinjiang University, China" -5dce578c8bc819592c9ec7bfab6302bbcd9a3f3d,Facial Complex Expression Recognition Based on Fuzzy Kernel Clustering and Support Vector Machines,"University of Science & Technology, Beijing, China" 5dc452b75efb033501e9baaaab468b0a8014b86d,Advanced integration of multimedia assistive technologies: A prospective outlook,"Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy" 5d8e92225f1824f0b66e4661b2be90c64d09a534,A hybrid rotation-invariant face recognition system using Log-Polar Transform,"Electrical Engineering Department, Faculty of Engineering - Port-Said, Suez Canal University, Port Fouad 42523, Egypt" 5d8eb0ccd00d66b649c6a4c06edb0e34093a2357,Automatic video description generation via LSTM with joint two-stream encoding,"Department of Electrical Engineering, The City College of New York, 10031, USA" -5d75c4db2e09b19de26b7c77f946e89d449c4ca4,Estimation of pedestrian walking direction from video,"University of Sciences and Technology, USTHB University, BP 32, El Alia, Algiers, Algeria" 5d3a45e25d0e3221bb581edf74bb920aaaa11b02,Non-negative Structured Pyramidal Neural Network for Pattern Recognition,"Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil" 5db584b00dc31ba387585b6e01c3bec057761b97,Location graphs for visual place recognition,"CNRS, LAAS, 7 av du colonel Roche, F-31400 Toulouse, France" -5dbac0b5e88c4af9a1adb4d482e74d0ddfe26844,Land-use scene classification: a comparative study on bag of visual word framework,"Computer Vision and Systems Laboratory, Laval University, Quebec, Canada" -5d11a2e6a6fab65d21a2a7082b6a37f86d5bb1ce,Group recursive discriminant subspace learning with image set decomposition,"Institute of Advanced Technology and College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China" 5d5bf8433aba574fcec7b4f8775909d11677b951,MB-Net: MergeBoxes for Real-Time 3D Vehicles Detection,"Daimler AG, R&D, Germany and University of Jena, Jena, Germany" 5d5bf8433aba574fcec7b4f8775909d11677b951,MB-Net: MergeBoxes for Real-Time 3D Vehicles Detection,"Daimler AG, R&D, Germany and Hochschule fur Technik, Stuttgart, Germany" 5d5bf8433aba574fcec7b4f8775909d11677b951,MB-Net: MergeBoxes for Real-Time 3D Vehicles Detection,"Daimler AG, R&D, Germany" 5d5bf8433aba574fcec7b4f8775909d11677b951,MB-Net: MergeBoxes for Real-Time 3D Vehicles Detection,"Computer Vision Group, University of Jena, Jena, Germany" -5d7a207f36f22dc470a007abf1095d30e8020650,Online object tracking based on sparse subspace representation,"College of Automation, Nanjing University of Posts and Telecommunications, 210023, China" 5d5d8c802513c2889654a880345e5a4bec51f762,Occlusion detection using horizontally segmented windows for vehicle tracking,"School of of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea" 5d9971c6a9d5c56463ea186850b16f8969a58e67,Facial-expression recognition based on a low-dimensional temporal feature space,"Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia" -5dd146912c2b2a313cea50acdcca3b4b54479142,Improving Human Action Recognition through Hierarchical Neural Network Classifiers,"Institute of Robotics, Innopolis University, Russia" -5dd146912c2b2a313cea50acdcca3b4b54479142,Improving Human Action Recognition through Hierarchical Neural Network Classifiers,"College of Technological Innovation, Zayed University, UAE" e60a7fc13b41c76f45107e03ceb850e413c7b4b0,"Train Here, Deploy There: Robust Segmentation in Unseen Domains","Electronics Department, University of Alcalá (UAH), Spain" e60a7fc13b41c76f45107e03ceb850e413c7b4b0,"Train Here, Deploy There: Robust Segmentation in Unseen Domains","CSIRO and the Australian National University (ANU), Australia" e60a7fc13b41c76f45107e03ceb850e413c7b4b0,"Train Here, Deploy There: Robust Segmentation in Unseen Domains","Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA" -e6708f2e1e7e0bf09ed0c8e87b85095d5775d114,The embeddability of lane detection algorithms on heterogeneous architectures,Renault S.A.S. e6708f2e1e7e0bf09ed0c8e87b85095d5775d114,The embeddability of lane detection algorithms on heterogeneous architectures,Institut d'Électronique Fondamentale - Universite Paris Sud e69261094b118eb52ab370ab4d0c7158f51846e4,Deep Learning Based Approach for Gender Classification,Department of Information Technology e604e8a2a639df10704e3f97fc93332589b8c160,Tracking of multiple planar projection boards for interactive mixed-reality applications,"Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, Heraklion, Greece" @@ -7286,46 +4325,30 @@ e6a831679964aa1134a2d3c042eb0d2df779c64b,Evaluation protocol for the DXM2VTS dat e6f3707a75d760c8590292b54bc8a48582da2cd4,Lighting estimation of a convex Lambertian object using weighted spherical harmonic frames,"College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, P.R. China" e6606446975aa85fbb4b239141ae35293a8b8eb0,Gender classification from facial images using gray relational analysis with novel local binary pattern descriptors,"Department of Computer Engineering, Siirt University, Siirt, Turkey" e6606446975aa85fbb4b239141ae35293a8b8eb0,Gender classification from facial images using gray relational analysis with novel local binary pattern descriptors,"Department of Electrical and Electronics Engineering, Batman University, Batman, Turkey" -e6c4715476216be00ea61fc276ff39fb4620d785,"Recognizing facial images using Gabor Wavelets, DCT-Neural Network, Hybrid Spatial Feature Interdependence Matrix","Dept. Electronics & Communication Engineering, Karunya University, India" -e6c4715476216be00ea61fc276ff39fb4620d785,"Recognizing facial images using Gabor Wavelets, DCT-Neural Network, Hybrid Spatial Feature Interdependence Matrix","Dept. Electronics & Communication Engineering Karunya University, India" e6a5c128a6697063b2560702f792b97c65db99e2,Signature-driven multi-target tracking,"School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences" e667ba14fd3ea15491ad7c7f2f7e3622d231eeae,Face verification using convolutional neural networks with Siamese architecture,"Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic" e6ca3361169c2465eea56b4d3eb270f11427ef30,Ocular Biometrics by Score-Level Fusion of Disparate Experts,"Department of Computer ScienceInstituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal" -e65452aa90850570f7b8d52cbd7082ed669c19f3,Mobile phone-based mixed reality: the Snap2Play game,"Image Perception, Access and Language Lab, Institute for Infocomm Research, Singapore, Singapore" e65452aa90850570f7b8d52cbd7082ed669c19f3,Mobile phone-based mixed reality: the Snap2Play game,"Laboratoire d’Informatique de Grenoble, Université Joseph Fourier, Grenoble cedex 9, France" -62b72fcf996f6351b67ae57653c5d0f3a03d3599,CoInCar-Sim: An Open-Source Simulation Framework for Cooperatively Interacting Automobiles,"FZI Research Center for Information Technology, Mobile Perception Systems, Karlsruhe, 76131, Germany" 62b72fcf996f6351b67ae57653c5d0f3a03d3599,CoInCar-Sim: An Open-Source Simulation Framework for Cooperatively Interacting Automobiles,"Karlsruhe Institute of Technology (KIT), Institute of Measurement and Control Systems, Karlsruhe, 76131, Germany" 622844fff6ee154afe83c34534df4aa15eef7903,Partially occluded pedestrian classification using part-based classifiers and Restricted Boltzmann Machine model,"Faculty of Science, Department of Mathematics, Aswan University, Egypt" 629ee690787badcd05abcff7c9cc80e149f0fa79,"Multimodal features fusion for gait, gender and shoes recognition","Department of Computer Architecture, University of Málaga, Málaga, Spain" 628f9c1454b85ff528a60cd8e43ec7874cf17931,Automatic detection of very early stage of dementia through multimodal interaction with computer avatars,"Osaka University Health Care Center, Japan" 626004cbf0aea5efa847001f06838050d43bcc1f,Obstacle detection using unsynchronized multi-camera network,"LITIS laboratory, INSA of ROUEN - University of Rouen, France" 6256b47342f080c62acd106095cf164df2be6020,FaceSimile: A mobile application for face image search based on interactive shape manipulation,"Computer Sciences Department, University of Wisconsin, Madison, USA" -62e34fff5a29d2e27bb3c7ccca43daad2d164ac0,Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression,"Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY, USA" 62c2d21f78fb89a11b436ab6ca9acd9abca145be,Neural network method through facial expression recognition,"PGOI, Indore" -62c2d21f78fb89a11b436ab6ca9acd9abca145be,Neural network method through facial expression recognition,"(CSE)PGOI, Indore" -621cff3d984455cc75e8ec94574af107ebfdb982,Deformable 3D CAD models in mobile augmented reality for tele-assistance,"TCS Innovation Labs, Bangalore, India" 62d5da64f52b56f79a9ed6952af51508cd13bea2,Fast region-based DPM object detection for autonomous vehicles,"The Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette, LA, USA" -62cf98ce9c28dad430810a59a527df50cebb65fd,"Human activity recognition in egocentric video using PNN, SVM, kNN and SVM+kNN classifiers","Department of ECE, Annamalai University, Chidambaram, India" -62cf98ce9c28dad430810a59a527df50cebb65fd,"Human activity recognition in egocentric video using PNN, SVM, kNN and SVM+kNN classifiers","Department of CSE, Annamalai University, Chidambaram, India" -62415bbd69270e6577136ba7120f4a682251cdbb,Facial expression analysis and the affect space,"INRIA, Grenoble Rhône-Alpes Research Center, Paris, France" -622c84d79a9420ed6f3a78f29233d56b1e99cc21,Video attention prediction using gaze saliency,"Anhui Keli Information Industry Co. Ltd., Hefei, China" 62f4df68cb1fbedf0c22fa292d9d9a9ef630d21d,Inverse Sparse Tracker With a Locally Weighted Distance Metric,"Department of Electrical Engineering and Computer Science, University of California at Merced, Merced, CA, USA" 62f60039a95692baaeaae79a013c7f545e2a6c3d,Identify computer generated characters by analysing facial expressions variation,"Department of Information and Computer Science - University of Trento via Sommarive 5, 38123 Trento - Italy" -626c71140a93afbb2234642f2634ebf635949263,Hardware/software co-design system for template matching using Particle Swarm Optimization and Pearson's Correlation Coefficient,"Departamento de Engenharia Eletrônica e Telecomunicações, Universidade do Estado do Rio de Janeiro, Brazil" 626c71140a93afbb2234642f2634ebf635949263,Hardware/software co-design system for template matching using Particle Swarm Optimization and Pearson's Correlation Coefficient,"Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Brazil" 9f60f03abec7dd4ef614ae0bf91ae10e6aa7f2dd,Empowering Persons with Deafblindness: Designing an Intelligent Assistive Wearable in the SUITCEYES Project,"VU Amsterdam, Van der, Amsterdam, The Netherlands" 9f60f03abec7dd4ef614ae0bf91ae10e6aa7f2dd,Empowering Persons with Deafblindness: Designing an Intelligent Assistive Wearable in the SUITCEYES Project,"University of Borås, Borås, Sweden" 9fd8d24a9db7cbcdf607994051d89667e95d7186,Emotion based mood enhancing music recommendation,"Department of Computer Engineering, K J Somaiya COE" 9ff1a4754391a5cf91c998eeaf75b93a4f5f2451,Face-based multiple instance analysis for smart electronics billboard,"Department of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan" -9fe2fed0bbcb9e41e058031b98e7247fea854bac,Privacy preserving security using biometrics in cloud computing,"Computer Science & Engineering (CSE), IIIT Naya Raipur, Chhattisgarh, India" -9fe2fed0bbcb9e41e058031b98e7247fea854bac,Privacy preserving security using biometrics in cloud computing,"Department of Computer Science and Engineering, Indian Institute of Technology (B.H.U), Varanasi, India" -9fe2fed0bbcb9e41e058031b98e7247fea854bac,Privacy preserving security using biometrics in cloud computing,"Department of Computer Science and Engineering, Shri Shankaracharya Group of Institutions (SSGI), Durg, India" 9f5fbc661ce13d1f946f5d3c5b194aab71e0511b,"Combining local similarity measures: summing, voting, and weighted voting","Dept. of Electr. & Comput. Eng., Rose-Hulman Inst. of Technol., Terre Haute, IN, USA" 9fd77ac4fae2df8468f22549985cfb53ed517cc9,SIFT vs. FREAK: Assessing the usefulness of two keypoint descriptors for 3D face verification,"Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia" 9f1ce2cb2c0e7e7ddf620cc59a7342bc04990efa,An integrated framework for video surveillance in complex environments,"DISI - University of Trento, Trento (Italy)" 9f1ce2cb2c0e7e7ddf620cc59a7342bc04990efa,An integrated framework for video surveillance in complex environments,FBK Trento (Italy) 9f1ce2cb2c0e7e7ddf620cc59a7342bc04990efa,An integrated framework for video surveillance in complex environments,"BV-Tech Ricerca, Rovereto (Italy)" -9f88bc8ac1f69362e4ca2bfd651c5f5d6aea5853,Deep learning model based breast cancer histopathological image classification,"College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China" 9f775ea5be1ae5f4182d07fb7c9399df82872205,Toward metadata removal to preserve privacy of social media users,"University of Nevada-Las Vegas, Las Vegas, Nevada" 9f775ea5be1ae5f4182d07fb7c9399df82872205,Toward metadata removal to preserve privacy of social media users,"AEOP UNITE, Las Vegas, Nevada" 9f775ea5be1ae5f4182d07fb7c9399df82872205,Toward metadata removal to preserve privacy of social media users,"UNLV STEM, Las Vegas, Nevada" @@ -7334,294 +4357,163 @@ e65452aa90850570f7b8d52cbd7082ed669c19f3,Mobile phone-based mixed reality: the S 9fd88e00acfc0d4b40644eeed28c0780b7025f66,TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip,"Institute of Electrical Engineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland" 9fd88e00acfc0d4b40644eeed28c0780b7025f66,TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip,"Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran" 9fd88e00acfc0d4b40644eeed28c0780b7025f66,TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip,"Department of School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran" -9fea3ff012d5ee474a7f41956bc4a4c5b67f09e0,Cascaded face recognition system via sparse representation,"Center of Excellence in Science and Technology, Islamabad, Pakistan" 9f47852dc4b17b706b2fbf942afef193b1723042,Spatial Effects of Video Compression on Classification in Convolutional Neural Networks,"School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, United Kingdom" -9f47852dc4b17b706b2fbf942afef193b1723042,Spatial Effects of Video Compression on Classification in Convolutional Neural Networks,"Oxford-Brookes University, Oxford, OX3 0BP, United Kingdom" 9fa59e7bf64875da23547ebb49d34fba5233c61b,Modelling crowd behaviour during emergency evacuation: A proposed framework,"School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia" 9fb964ecd41f50b40a3d347136df97b4b7f56b74,Eye center localization and detection using radial mapping,IIIT Guwahati 9f44ab28e5d4b7b9b63908e912582d20e0f1fa29,Weighting multi-block two-dimensional linear discriminant features for face verification,"Institute for Infocomm Research, 21 Heng Mui, Keng Terrace 119613 Singapore" 9fd864442f18a8b739efa0534998b2afdd6f08e8,Real-Time Detection of Pedestrian Traffic Lights for Visually-Impaired People,"Escola Politécnica, Pontifícia Universidade Católica do Rio, Grande do Sul" -9ff3d2581fc86859b56aaef4ef2e1009e8bbc272,Robust Label Consistent Dictionary Learning for Face Recognition,"Electronics and Communication Department, National Institute of Technology, Rourkela, Odisha, 769008, India" -a993500f229ea4a4a3162fea2cbbec9ba2a5e404,Semi-supervised image classification via nonnegative least-squares regression,"Department of Management Science and Engineering, Officers College of Chinese Armed Police Force, Chengdu, China" a9a2ef9417dfe480a047a11a15814d3886ed0729,An Adaptive Approach to Learning Optimal Neighborhood Kernels,"Department of Imaging and Computer Vision, Siemens Corporate Research, Princeton, NJ, USA" -a9196f0ef06460467836fe09d53737170c612e79,Recurrent convolution neural networks for classification of protein-protein interaction articles from biomedical literature,"Data Mining and Text Mining Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu, India" a94310ae2eea247f288bd3a65c6d496b61bce1c5,Footnote-based document image classification using 1D convolutional neural networks and histograms,"École de technologie supérieure (ÉTS) Montreal, Canada" -a99361200552e723fc9ccc82a6f98be222e51c12,Div150Multi: a social image retrieval result diversification dataset with multi-topic queries,"CEA, LIST, France" a99361200552e723fc9ccc82a6f98be222e51c12,Div150Multi: a social image retrieval result diversification dataset with multi-topic queries,"HES-SO, Sierre, Switzerland" a9f3aed7013b1a09b7fd7464b45e3e0835600718,Cost-Effective Conceptual Design for Information Extraction,"MIT, Cambridge, MA" a9bd2133928a9d3fe708c9ee6e8d64ae1fc9a43a,Mixture of counting CNNs,"Meijo University, Nagoya-shi, Japan" a9b18f753bdcc8ed609fd763bf76cc20cbd754f2,Intersection Warning System for Occlusion Risks Using Relational Local Dynamic Maps,"Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany" -a9b18f753bdcc8ed609fd763bf76cc20cbd754f2,Intersection Warning System for Occlusion Risks Using Relational Local Dynamic Maps,"Honda Research Institute Europe, Offenbach, Germany" a90d72b4b0e026391ac4d7a6b0a5deca2791e718,Pedestrian Detection from Low Resolution Public Cameras in the Wild,"Department of Telecommunication, Brno University of Technology, Czech Republic" a96c45ed3a44ad79a72499be238264ae38857988,Encouraging second-order consistency for multiple graph matching,"Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea" a964fbcfe85cdccb86e8c44d027b7f9e96fb22b6,"Multimodal depth and intensity face verification approach using LBP, SLF, BSIF, and LPQ local features fusion","LMSE Université Mohamed Khider, Biskra, Algérie" a964fbcfe85cdccb86e8c44d027b7f9e96fb22b6,"Multimodal depth and intensity face verification approach using LBP, SLF, BSIF, and LPQ local features fusion","LGB Université Mohamed Khider, Biskra, Algérie" -a964fbcfe85cdccb86e8c44d027b7f9e96fb22b6,"Multimodal depth and intensity face verification approach using LBP, SLF, BSIF, and LPQ local features fusion","LAMIH Université de Valenciennes, Paris, France" -a9f0e940cfba3663dc8304dd5dc77509f024a3cc,"Facial expression representation and classification using LBP, 2DPCA and their combination","Computer Science Department, Sanghvi Inst. of Mgmt. & Science, Indore, India" -a9f0e940cfba3663dc8304dd5dc77509f024a3cc,"Facial expression representation and classification using LBP, 2DPCA and their combination","Computer Science & Engg., Visvesvaraya National Institute of Technology Nagpur, India" -a9f0e940cfba3663dc8304dd5dc77509f024a3cc,"Facial expression representation and classification using LBP, 2DPCA and their combination","Computer Science & Engg., School of Computer Science & IT DAVV, Indore, India" -a92b0dfcf17686a8048fb286c6ecf2417243a3ad,Detection of obscene images and ejection of external devices,"Department of Computer Science, College of Engineering Munnar, Idukki, Kerala, India" a98312681f224874961f9cab444ba04666e7a0bf,Towards a multi-softcore FPGA approach for the HOG algorithm,Federal Institute of São Paulo a98312681f224874961f9cab444ba04666e7a0bf,Towards a multi-softcore FPGA approach for the HOG algorithm,University of Porto a98312681f224874961f9cab444ba04666e7a0bf,Towards a multi-softcore FPGA approach for the HOG algorithm,University of São Paulo a941434fce5d3fddcd78e2b82d46ccab0411fca9,Histogram of oriented gradient and multi layer feed forward neural network for facial expression identification,"Department of mechanical Engineering Faculty of Sciences and Technology University Sidi Mohamed Ben Abdellah Fez, Morocco" a941434fce5d3fddcd78e2b82d46ccab0411fca9,Histogram of oriented gradient and multi layer feed forward neural network for facial expression identification,"Department of artificial Intelligence and systems engineering Faculty of Computer Science and Information Technology Riga Technical University Riga, Latvia" -a9e438c1e66917379509165fc40f335514870b56,Structural inpainting of road patches for anomaly detection,"IBM Research - Tokyo, Japan" a99b8c2165fea3e90bc8815a965b7df961367419,Measurement of asymmetry of stripe patterns in animals,"Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai-600 036" -a9d861e270b8b1e6deea1936b258f49f1823005b,A robust face recognition using automatically detected facial attributes,"Computer Science and Engineering, Easwari Engineering College, Chennai, India" -a6cbac33da95bdf7167d4a81275755b6d91b7822,A discrimination preserving projection approach for face recognition,"College of Humanities & Sciences of Northeast Normal University, Changchun, China" -a6cbac33da95bdf7167d4a81275755b6d91b7822,A discrimination preserving projection approach for face recognition,"School of Computer Science and Information Technology, Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, 130117, China" a6148dcfb0373d07e08bdecb8e32f127cf5c39ad,Facial image classification based on age and gender,"University of Colombo School aof Computing, University of Colombo ∗No 35, Reid Avenue, Colombo 7" a6e4f924cf9a12625e85c974f0ed136b43c2f3b5,A new facial age estimation method using centrally overlapped block based local texture features,"Department of Computer Technologies, Trabzon Vocational School, Karadeniz Technical University, Trabzon, Turkey" a6a1a47c6cb2336c78f8424943eaf9f01bbf980f,A combined recognition and segmentation model for urban traffic scene understanding,"Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, 44227 Dortmund, Germany" a60c19b131090b00264d2dfdcf8146afdd3f968f,Automated Pruning for Deep Neural Network Compression,"Strategic Analytics, lastminute.com group, Chiasso, Switzerland" a60c19b131090b00264d2dfdcf8146afdd3f968f,Automated Pruning for Deep Neural Network Compression,"DISCo, Universita degli Studi di Milano Bicocca, Milano, Italy" -a6902db7972a7631d186bbf59c5ef116c205b1e8,Photo clip art,Microsoft Research Cambridge a6840267e169382d3c5ab2645f6da60dd842d6ac,Person Re-Identification via Unsupervised Transfer of Learned Visual Representations,"University of Udine, Via Delle Scienze, Udine, Italy" -a6807ee5dec896aed0d76149067ff27f8c5fb2b4,Design methodology for face detection acceleration,"Instituto de Microelectronica de Sevilla, IMSE-CNM-CSIC, Spain" a63917fe8da01b44ebb92bce03ebf44f3287782e,Auto-Sorting System Toward Smart Factory Based on Deep Learning for Image Segmentation,"Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France" a69d98f4b308406bbeda6ba9871ed19f4b220d1e,A novel approach for SEMG signal classification with adaptive local binary patterns,"Department of Electrical and Electronic Engineering, Batman University, Batman, Turkey" a69d98f4b308406bbeda6ba9871ed19f4b220d1e,A novel approach for SEMG signal classification with adaptive local binary patterns,"Department of Computer Engineering, Batman University, Batman, Turkey" a65301ec723dfac73c1e884d26dedeb4de309429,Incremental generalized low rank approximation of matrices for visual learning and recognition,"LARODEC Laboratory, University of Tunis, Tunis, Tunisia" a65301ec723dfac73c1e884d26dedeb4de309429,Incremental generalized low rank approximation of matrices for visual learning and recognition,"Dhofar University, Oman, Salalah" -a654fdf590a063d15344caccecff76d971635993,A three-dimensional self-organizing neural network architecture for three-dimensional object extraction from a noisy perspective,"Department of Computer Science and Engineering, Kalyani Government Engineering College, 741 235, West Bengal, India" -a654fdf590a063d15344caccecff76d971635993,A three-dimensional self-organizing neural network architecture for three-dimensional object extraction from a noisy perspective,"Department of Computer Science Information Technology, University Institute of Technology, The University of Burdwan, Golapbag (North), 713 104, India" -a654fdf590a063d15344caccecff76d971635993,A three-dimensional self-organizing neural network architecture for three-dimensional object extraction from a noisy perspective,"Department of Computer and System Sciences, Visva-Bharati University, Santiniketan - 731 235, India" -a638c6db2c0629bab6dc2f75f297fe0ae4024de7,Pedestrian detection by PCA-based mixed HOG-LBP features,"PLA University of Science and Technology Nan Jing, China" -a6f79e6b63ff8f6a2e472625d9311e8c60ac36f2,Smart space construction: Integration of robots in a visual sensor network,"Department of Computer Science and Engineering, Indian Institute of Technology Delhi, India" -a6f79e6b63ff8f6a2e472625d9311e8c60ac36f2,Smart space construction: Integration of robots in a visual sensor network,"Department of Electrical Engineering, Indian Institute of Technology Delhi, India" -a61a3f7870f7cb0ff73fc9470b28ed94692efe74,Thermal Face Recognition Under Temporal Variation Conditions,"Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile" a6190a778a4e343ceb60bbd738df1cce094e7332,Robust lip feature detection in facial images,"Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam" a6b553a00e60cd1d33f91dc726fa0216728c20e9,Nonparametric Feature Matching Based Conditional Random Fields for Gesture Recognition from Multi-Modal Video,"Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea" -a67e66e437331cf7dbb02d2a7296e9c32dba67d5,CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks,"Mila, Université de Montréal, Quebec, Canada" -a66057955282d22a23c76e904daa2969adc94cb2,Detecting and Measuring Human Walking in Laser Scans,"Institute of Informatics and Telecommunications NCSR 'Demokritos' Athens, Greece" -a6ee83e4655d09063f50a8b97d8dc32adc5fdf3a,MutualCascade method for pedestrian detection,"Engineering Research Center for Spatio-Temporal Data Smart Acquisition and Application, Ministry of Education of China, Wuhan, China" a6d621a5aae983a6996849db5e6bc63fe0a234af,Facial Expression Analysis for Estimating Pain in Clinical Settings,"University of California, San Diego, La Jolla, CA, USA" -ac37285f2f5ccf99e9054735a36465ee35a6afdd,Complete Kernel Fisher discriminant analysis of Gabor features with fractional power polynomial models for face recognition,"Dept. of Autom. Test & Control, Harbin Inst. of Technol., China" acdba6bd93cbfff78c5cb03cff85b70390f77f85,Shape-Based Normalized Cuts Using Spectral Relaxation for Biomedical Segmentation,"Department of Radiology; Medical Physics, University Hospital Freiburg, Freiburg, Germany" aca728cab26b95fbe04ec230b389878656d8af5b,Knowledge Computing and its Applications,"The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense M, Denmark" ac246edf1bdcb74bee9439b1faf4ea16ba403676,Full Multiresolution Active Shape Models,"Department of Electrical and Electronic Engineering, Public University of Navarra, Pamplona, Spain" ac246edf1bdcb74bee9439b1faf4ea16ba403676,Full Multiresolution Active Shape Models,"Molecular & Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin 2, Ireland" ac1bbc44a0b342bb52d8aa92170b6473a148d130,Linear principal transformation: toward locating features in N-dimensional image space,"Department of Computer Science, Shahid Beheshti University, GC, Tehran, Iran" ac1bbc44a0b342bb52d8aa92170b6473a148d130,Linear principal transformation: toward locating features in N-dimensional image space,"Department of Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran" -ace8bf0f5d218cc6fd08e5a224f320e2244bd771,Balanced application-specific processor system for efficient SIFT-feature detection,"Institute of Microelectronic Systems, Leibniz Universität Hannover, Appelstr. 4, 30167 Hannover, Germany" -acf0db156406ddad1ace2ff2696cb60d0a04cf7c,Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance,"Volvo Construction Equipment, Göthenburg, Sweden" -ac952dcf1448b7afa8c17cbd8062e3fb1382da0f,Supervised and Unsupervised Parallel Subspace Learning for Large-Scale Image Recognition,"College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China" -ac0fd99c800160043c9d4eb38f369c81f6ae0097,Automated safety control by video cameras,Delft University of Technology and Netherlands Defence Academy ac0fd99c800160043c9d4eb38f369c81f6ae0097,Automated safety control by video cameras,Netherlands Defence Academy and Delft University of Technology ac98e7c570eb4a9db23f85164010f94afba1251e,Supporting video conference communication using a vision-based human facial synthesis approach,"Department of Media Technology, Linnaeus University, Vaxjo, Sweden" -ac01cb10c356d26bcfb7f674fe91e6c190ba64ab,Patch based local phase quantization of monogenic components for face recognition,"GIPSA-Lab, Grenoble Institute of Technology, France" ace9ee37899da2172383dcc1b925efc345da0ada,Estimation of driver's posture using pressure distribution sensors in driving simulator and on-road experiment,"Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan" ace9ee37899da2172383dcc1b925efc345da0ada,Estimation of driver's posture using pressure distribution sensors in driving simulator and on-road experiment,"Graduate School of Information, Science Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan" -0c251ee4c1f4cac3929cb889c525785335237ed3,An efficient approach for face recognition in uncontrolled environment,"Apollo Institute of Technology, Kanpur, India" -0c251ee4c1f4cac3929cb889c525785335237ed3,An efficient approach for face recognition in uncontrolled environment,"Institute of Engineering & Technology, Dr APJ Abdul Kalam Technical University, Uttar Pradesh, Lucknow, India" 0c247ac797a5d4035469abc3f9a0a2ccba49f4d8,An efficient landmark localization for face occlusion,"Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan" -0cf07a503b80f630c6774efb126df282a7c93f1d,Advances in Computational Intelligence,"Universidad de Granada , Granada, Spain" -0cf07a503b80f630c6774efb126df282a7c93f1d,Advances in Computational Intelligence,"University of Malaga , Malaga, Spain" 0cf07a503b80f630c6774efb126df282a7c93f1d,Advances in Computational Intelligence,"Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain" -0cc96359b1edba28d33fe9e663079c5674744672,Facial expression recognition for detecting children's likes and dislikes,"Cognition Technology Research Team, Electronics and Telecommunications Research Institute, Daejeon, 305-700, Republic of Korea" -0c2309b357cbc5be6c5e5066b053b96e846ade37,Pedestrian Detection Based on YOLO Network Model,"Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, LANZHOU JIAOTONG UNIVERSITY, Lanzhou, Gansu Province, China" 0cff00748f016e4689e713e258ef14720df86682,Viewpoint-Tolerant Place Recognition Combining 2D and 3D Information for UAV Navigation,"Vision for Robotics Lab, ETH Zurich, Switzerland" 0c167008408c301935bade9536084a527527ec74,Automatic detection of player's identity in soccer videos using faces and text cues,Università di Firenze - Italy -0ce9c3a2fec2bcd1a897c7ed1bf34cd68e6af89b,Learning Transferable Features for Speech Emotion Recognition,"UFMG & Kunumi, Belo Horizonte, Brazil" -0ce9c3a2fec2bcd1a897c7ed1bf34cd68e6af89b,Learning Transferable Features for Speech Emotion Recognition,"UFMG, Belo Horizonte, Brazil" -0cf9f33546917e2d0edec03037f1a084d75f917b,Variable length dominant Gabor local binary pattern (VLD-GLBP) for face recognition,"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications No 10, Xitucheng Road, Haidian District, Beijing, China, 100876" 0cf7bb49fc6dd9ab0d60e7cff4bb3e53b2676a1b,Support Vector Slant Binary Tree Architecture for Facial Stress Recognition Based on Gabor and HOG Feature,"Department of Materials and Informatics, University of Miyazaki, >Japan" 0cf7bb49fc6dd9ab0d60e7cff4bb3e53b2676a1b,Support Vector Slant Binary Tree Architecture for Facial Stress Recognition Based on Gabor and HOG Feature,"Department of Environmental Robotics, University of Miyazaki, Japan" 0cf7bb49fc6dd9ab0d60e7cff4bb3e53b2676a1b,Support Vector Slant Binary Tree Architecture for Facial Stress Recognition Based on Gabor and HOG Feature,"Department of Electrical and Systems Engineering, University of Miyazaki, Japan" 0c65226edb466204189b5aec8f1033542e2c17aa,A study of CNN outside of training conditions,"Intelligent Vision Research Lab, Department of Computer Science, Federal University of Bahia" 0c68a5c871b92639631ae65eea8da430054bb729,Facial deblur inference to improve recognition of blurred faces,"Corporate Research & Development, Toshiba Corporation, Japan" 0c56ba57e7b3f808e9ff85f61fbec38615d7f999,Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information,"Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ 08540, USA" -0c56ba57e7b3f808e9ff85f61fbec38615d7f999,Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information,"Siemens Medical Solutions, Innovations Division, CA 94043, USA" 0c493914e4a961c859b0a4435cadde02cfd56fef,"Data-driven development, a complementing approach for automotive systems engineering","Johannes Bach, Jacob Langner, Stefan Otten and Eric Sax are with FZI Research Center for Information Technology, 76131 Karlsruhe, Germany" 0c493914e4a961c859b0a4435cadde02cfd56fef,"Data-driven development, a complementing approach for automotive systems engineering","Marc Holzapfel is with Dr. Ing. hc. F. Porsche AG, 71287 Weissach, Germany" 0c8f09f66f590690e391a3fe25b3167b174c0f82,Human Posture Detection using H-ELM Body Part and Whole Person Detectors for Human-Robot Interaction,"Institute for Infocomm Research, Connexis South, Singapore" -0c95bccca09f89a3036af0f9c3dac318f0f249b9,Choice of biometrics,"University of Mauritius, Reduit, 230, Mauritius" -0c5b32acd045996716f66e327a2d39423446a220,Local information statistics of LBP and HOG for pedestrian detection,"Computer Science Department Technical University of Cluj-Napoca, Romania" -0cb5a80d9ddc9876c73b6013fa927a8202736349,Hierarchical Contextual Refinement Networks for Human Pose Estimation,"Qihoo 360 AI Institute, Beijing, China" -0cf7741e1fdb11a77cdf39b4dda8c65a62af4f23,Learning Prototype Hyperplanes for Face Verification in the Wild,"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), Beijing, China" -0c0db39cac8cb76b52cfdbe10bde1c53d68d202f,Metric-based Generative Adversarial Network,"New York University Abu Dhabi & NYU Tandon School of Engineering, Abu Dhabi, Uae" 0c302ac0101545e1942aa6c3e053c0185d948ff3,Designing interface and integration framework for multi-channels intelligent surveillance system,"Graduate School of Electrical Engineering, University of Ulsan, Korea 680-749" 0ccdaeffd5820e98cd534f380e8331560140b62f,Gabor wavelet associative memory for face recognition,"Inst. for Infocomm Res., Singapore" -0c54851799df1cec365e4c8c8e48d8b44f3a277e,Learning spatially correlation filters based on convolutional features via PSO algorithm and two combined color spaces for visual tracking,"Energy Systems Modeling Laboratory, University of Biskra, Biskra, Algeria" 0c54851799df1cec365e4c8c8e48d8b44f3a277e,Learning spatially correlation filters based on convolutional features via PSO algorithm and two combined color spaces for visual tracking,"Department of Electrical Engineering, University of Biskra, Biskra, Algeria" -7dd6feca2c444323ec8e7017ddd8d1253b29c6a1,Pain Prediction in Humans using Human Brain Activity Data,"King Abdulaziz University, Jeddah, Saudi Arabia" 7df082cd1bce65f6060825bc14289570bf73c4fd,A Fault Tolerant Perception system for autonomous vehicles,"Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil, Ecuador" -7d730b5e0f813c4bc1a28db276d182e45f2fb4a5,Face recognition using different surveillance cameras,"Department of Electrical Engineering, American University of Sharjah, UAE" -7d730b5e0f813c4bc1a28db276d182e45f2fb4a5,Face recognition using different surveillance cameras,"Department of Computer Science and Engineering, American University of Sharjah, UAE" -7d4b699a676482b76f2fa0ce7a2a75316616fb1d,Local Steerable Phase (LSP) Feature for Face Representation and Recognition,"Beijing Institute of Technology, Beijing 100081, P.R. CHINA" 7d50df03d0c8a26eaaeaef47de68691f9ac73701,Recognizing expressions from face and body gesture by temporal normalized motion and appearance features,"Department of Electrical Engineering, The City College of New York, New York NY, USA" 7d447cc4432f5eca01083f65c70ca6edd54818bc,Segmentation and Estimation of Spatially Varying Illumination,"Agency for Science and Technology Research, Bioinformatics Institute, Singapore" 7dde459312522985c85c03f6b2dd16c9da5ccf74,A multimodal biometrie system for personal identification based on deep learning approaches,"School of Computing, Informatics & Media, University of Bradford, Bradford City, UK" 7ded2365594d85f2e54445ef86bdc52376effbb6,Who are you? [face recognition],"IUSIANI, Univ. de Las Palmas, Spain" -7d7870b7633678db2d39d4a5d69d10337ca827d9,Introducing set of internal parameters for Laplacian faces to enhance performance under varying conditions,"Vision and Pattern Recognition Systems (VisPRS) Research Group Muhammad Ali Jinnah University, Islamabad, Pakistan" 7d7870b7633678db2d39d4a5d69d10337ca827d9,Introducing set of internal parameters for Laplacian faces to enhance performance under varying conditions,"Vision and Pattern Recognition Systems (VisPRS) Research Group Center for Advanced Studies in Engineering, Islamabad, Pakistan" -7da261ca2cff495bd7744504797c4c3d5b8b9b4c,Particle PHD Filter Based Multiple Human Tracking Using Online Group-Structured Dictionary Learning,"State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China" 7d8798e7430dcc68fcdbd93053c884fc44978906,Crowdsourcing for affective-interaction in computer games,"Universidade Nova Lisboa, Lisboa, Portugal" -7d7255ff50b9e7e4ace61b9ca883704f43298595,Face Photo Recognition from Sketch Images Using HOG descriptors,"Department of Computer Science, Rani Channamma University, Belagavi, Karnataka, India" -7d7255ff50b9e7e4ace61b9ca883704f43298595,Face Photo Recognition from Sketch Images Using HOG descriptors,"Department of Applied Electronics, Gulbarga University, Kalaburgi, India" -7d9d8fc39bb3a6a0c33346e6eddde37f28545ef0,Who Are Your “Real” Friends: Analyzing and Distinguishing Between Offline and Online Friendships From Social Multimedia Data,"School of Information Technology & Management, University of International Business and Economics, Beijing, China" -7dfc24b8e21fa7a397d5557574efedd218864d10,Robust Visual Tracking Via Consistent Low-Rank Sparse Learning,"Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore" 7dfc24b8e21fa7a397d5557574efedd218864d10,Robust Visual Tracking Via Consistent Low-Rank Sparse Learning,"School of Engineering, University of California at Merced, Merced, USA" 7dfc24b8e21fa7a397d5557574efedd218864d10,Robust Visual Tracking Via Consistent Low-Rank Sparse Learning,"Department of Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia" 7d6a8c2a857a4eb3d9f6c3c470906f2182c9473a,Hierarchical Grid-based Multi-People Tracking-by-Detection With Global Optimization,"Department of Informatics, Technische Universität München, München, Germany" 7d6a8c2a857a4eb3d9f6c3c470906f2182c9473a,Hierarchical Grid-based Multi-People Tracking-by-Detection With Global Optimization,"German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany" 7d91f2c94ad8136a86c5704c0bbd1dfd7a391e8f,Markovian mixture face recognition with discriminative face alignment,"Google Inc., Singapore" -7df277c37ac75851684f926fd3fb4daced3e79f8,Gaussian elliptical fitting based skin color modeling for human detection,"MNNIT Allahabad, Allahabad, India" -20a2890c92b7ad628aedd25db3384276f0fdaf90,A Combined Voxel and Particle Filter-Based Approach for Fast Obstacle Detection and Tracking in Automotive Applications,"Departamento de Ingeniería Informática, University of La Laguna, Santa Cruz de Tenerife, Spain" 20a2890c92b7ad628aedd25db3384276f0fdaf90,A Combined Voxel and Particle Filter-Based Approach for Fast Obstacle Detection and Tracking in Automotive Applications,"Computer Science Department, Centro de Innovación para la Sociedad de la Información, University of Las Palmas de Gran Canaria, Las Palmas, Spain" -205f035ec90a7fa50fd04fdca390ce83c0eea958,Emotion Recognition Using Multiple Kernel Learning toward E-learning Applications,"Sunway University, Selangor, Malaysia" 20da3ec27d221973c681ed8713f3e00ff10fef6b,Multiple Representations-Based Face Sketch–Photo Synthesis,"Centre for Quantum Computation and Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia" 20a0f71d2c667f3c69df18f097f2b5678ac7d214,Exploiting sensing devices availability in AR/VR deployments to foster engagement,"Centre of Research and Technology Hellas, Thermi, Thessaloniki, Greece" -20a0f71d2c667f3c69df18f097f2b5678ac7d214,Exploiting sensing devices availability in AR/VR deployments to foster engagement,"University of Maastricht, Maastricht, The Netherlands" 20a0f71d2c667f3c69df18f097f2b5678ac7d214,Exploiting sensing devices availability in AR/VR deployments to foster engagement,"National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Athens, Greece" 20a0f71d2c667f3c69df18f097f2b5678ac7d214,Exploiting sensing devices availability in AR/VR deployments to foster engagement,"Technological Educational Institute of Sterea Ellada, Psahna, Halkida, Greece" 20747cf1685ba615f19b0db7b17b66bc58ce3453,Makeup-Invariant Face Recognition using combined Gabor Filter Bank and Histogram of Oriented Gradients,"Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria" -209c4bae72a3810114c67e0ca435fcd1646986f8,Body gait tracking with a Fisher Discriminance on feature analyse,"Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China, 100081" 2094af31f36c691551d27ce3d82eaca7517b7214,Discriminative Multiple Instance Hyperspectral Target Characterization,"Precision Silver LLC, Gainesville, FL" 20b405d658b7bb88d176653758384e2e3e367039,Face recognition with manifold-based kernel discriminant analysis,"School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran" -20e24a40dc855fa69aa3d85b4bfdcfb8c9dadb74,Multi-Networks Joint Learning for Large-Scale Cross-Modal Retrieval,"University of Chinese Academy of Sciences & CAS, Beijing, China" -20bda5e991a7c0774f2767b80de0ff54db1adf1b,Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks,"Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Av. Ipiranga, 6681, 90619-900, Porto Alegre, RS, Brazil" 2052bdb3713e818d0a6d1a5596526ddc28da64d4,MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving,"The University of Alberta, Canada" -2052bdb3713e818d0a6d1a5596526ddc28da64d4,MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving,"Cairo University, Egypt" 2052bdb3713e818d0a6d1a5596526ddc28da64d4,MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving,Valeo. -209a1f024ade2a22d483a7e2b10307a9d000826a,Learning image Vicept description via mixed-norm regularization for large scale semantic image search,"Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, China" 20bc4145bfa389f40768a7206ba6e5515925af29,A category-level 3-D object dataset: Putting the Kinect to work,"UC Berkeley and Max-Plank-Institute for Informatics, Germany" 205814d838b67f4baf97a187a6a781dfa5271df9,LabelMe video: Building a video database with human annotations,"MIT, USA" 205814d838b67f4baf97a187a6a781dfa5271df9,LabelMe video: Building a video database with human annotations,"INRIA / Ecole Normale Supérieure, France" -20c016843430bb65c60ea4011a9e8bbb5785c490,Which Languages do People Speak on Flickr?: A Language and Geo-Location Study of the YFCC100m Dataset,"DFKI GmbH, Kaiserslautern, Germany" -206bb63f675ce65ec61a8bdc402af529968f0772,SLAM pose-graph robustification via multi-scale Heat-Kernel analysis,"Robotics Research Center, Kohli Center on Intelligent Systems, IIIT Hyderabad, India" 20ac210d0dae94effbcd1d20afd7ea559e7598d1,Object detection using hybridization of static and dynamic feature spaces and its exploitation by ensemble classification,"Pattern Recognition Lab, Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan" 20177ef915378ce6d454be4295ab190fbca3c64c,A novel approach to remove redundant Gabor wavelets for family classification,Institute for Infocomm Research (IR) Singapore 138632 205f3d654b7d28d00d15b034a8c5b2a8740bd8b6,Discriminant Learning Through Multiple Principal Angles for Visual Recognition,"Department of Computer Science and Engineering, University at Buffalo-State University of New York, Buffalo, NY, USA" -2045fe2f21c30f364d6e699ea0bf0ea21d7f460e,Hierarchical clustering based facial expression analysis from video sequence,"Centre for Development of Advanced Computing (CDAC), Kolkata, India" -2045fe2f21c30f364d6e699ea0bf0ea21d7f460e,Hierarchical clustering based facial expression analysis from video sequence,"HCL Technologies, Chennai, India" -209ac2bac0f4235bea01216a987d87d9380260c7,Face and palmprint multimodal biometric systems using Gabor–Wigner transform as feature extraction,"Department of Physics, Indian Institute of Technology Delhi, New Delhi, India" -20c6c93cef3d0417b750a9c56a9587acb93500a4,B-Face: 0.2 MW CNN-Based Face Recognition Processor with Face Alignment for Mobile User Identification,"School of EE, KAIST, Yuseong-gu, Daejeon, Republic of Korea" -2060d46b178719080d51bccb150a3f8f227807ce,Human count estimation in high density crowd images and videos,"Department of Computer Science & Engineering, Department of Electronics Engineering, Indian Institute of Technology (B.H.U.), Varanasi-221005, India" 206fc605691939ae4e6398cb567352c2d1446bfc,A 3D facial expression recognition system based on SVM classifier using distance based features,"Bilgisayar Mühendisliği, Dicle Üniversitesi, Diyarbakır, Türkiye" 206fc605691939ae4e6398cb567352c2d1446bfc,A 3D facial expression recognition system based on SVM classifier using distance based features,"Bilgisayar Mühendisliği, Fırat Üniversitesi, Elazığ, Türkiye" 206fc605691939ae4e6398cb567352c2d1446bfc,A 3D facial expression recognition system based on SVM classifier using distance based features,"Bilgisayar ve Öğretim Teknolojileri Eğitimi, Dicle Üniversitesi, Diyarbakır, Türkiye" 58f5dfd5311baed52a7145667df9ddd25bd73212,Confidence-based pedestrian tracking in unstructured environments using 3D laser distance measurements,"Active Vision Group, University of Koblenz-Landau, Universitätsstr. 1, 56070, Germany" -58a09b1351ddb447e6abdede7233a4794d538155,A Crop/Weed Field Image Dataset for the Evaluation of Computer Vision Based Precision Agriculture Tasks,"Corporate Research, Robert Bosch GmbH, Stuttgart, Germany" -58f63d82c4f4c97e9f25b77a83ac04d084c3d56e,TaskFolder: Dynamic and Fine-Grained Workload Consolidation for Mobile Devices,"Intel Corporation, Beijing, China" 58f63d82c4f4c97e9f25b77a83ac04d084c3d56e,TaskFolder: Dynamic and Fine-Grained Workload Consolidation for Mobile Devices,"Intel Corporation, Nice, France" 58f63d82c4f4c97e9f25b77a83ac04d084c3d56e,TaskFolder: Dynamic and Fine-Grained Workload Consolidation for Mobile Devices,"Intel Corporation, Singapore, Singapore" -58f63d82c4f4c97e9f25b77a83ac04d084c3d56e,TaskFolder: Dynamic and Fine-Grained Workload Consolidation for Mobile Devices,"Intel Corporation, Bangalore, India" 585dd98414d548ef7c19b250ee12c1bbef9f7060,Faster robot perception using Salient Depth Partitioning,"Department of Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA" -582ec12e629b2efbe1aae96fd331404e7a9a855e,Hybrid eye center localization using cascaded regression and robust circle fitting,"ModiFace Inc., Toronto, Canada" -5825623a0768232da3ce121efe223638510420b4,Active Shape Model vs. Deep Learning for Facial Emotion Recognition in Security,"Computer Science, Azusa Pacific University, Azusa, USA" -587b8c147c6253878128ddacf6e5faf8272842a4,Driving High-Resolution Facial Scans with Video Performance Capture,"University of Southern California Institute for Creative Technologies, Los Angeles, CA" -588526811ab87b6e920b32ed9f78f91066d89101,The Multidimensional Extended Neo-Fuzzy System and its Fast Learning for Emotions Online Recognition,"Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine" 588526811ab87b6e920b32ed9f78f91066d89101,The Multidimensional Extended Neo-Fuzzy System and its Fast Learning for Emotions Online Recognition,"Media Systems and Technologies Department, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine" -5808a08c92a4eff3e8de798dd43fb860513b342b,Finding and improving the key-frames of long video sequences for face recognition,"Laboratory of Computer, Vision and Media Technology (CVMT), at Aalborg University, Niels Jernes, Vej 14, Aalborg, Denmark" 5828783a3b810b4941664a05449a94274f3ac63c,Method for learning deep features for correlation based visual tracking,"Akıllı Veri Analitiği Araştırma Program Müdürlüğü, Aselsan Araştırma Merkezi, Ankara, Türkiye" 5828783a3b810b4941664a05449a94274f3ac63c,Method for learning deep features for correlation based visual tracking,"ODTÜ Görüntü Analizi Uygulama ve Araştırma Merkezi (OGAM), Ankara, Türkiye" -584525fa2e6b3bbd4ca5e971aa7c372b6ce07e8c,Label localization by appearance guided graph inferring,"Institute of Automation, Chinese Academy of Science, 95 Zhongguancun East Road, 100190 Beijing, China" 5807932dbb95e9def833e98799554b62b66eed2a,"Nose tip localization on a three dimensional face across pose, expressions and occlusions variations in a Riemannian context","Signals and Images Laboratory, University of USTOMB, Oran, Algeria" 58d080c29764eec7c58682d7c7aa74fd3a2c6456,Robust subspace learning-based low-rank representation for manifold clustering,"School of Mathematics, Liaoning Normal University, Dalian, People’s Republic of China" -58d080c29764eec7c58682d7c7aa74fd3a2c6456,Robust subspace learning-based low-rank representation for manifold clustering,"Guilin University of Electronic Technology, Guilin, People’s Republic of China" -58d080c29764eec7c58682d7c7aa74fd3a2c6456,Robust subspace learning-based low-rank representation for manifold clustering,"Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People’s Republic of China" 58d080c29764eec7c58682d7c7aa74fd3a2c6456,Robust subspace learning-based low-rank representation for manifold clustering,"Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics, Guilin University of Electronic Technology, Guilin, People’s Republic of China" -58ca5ac14af2765ce1d25c3a82d6f9312437ded0,Multiview Clustering via Adaptively Weighted Procrustes,"Xi'an Institute of Optics and Precision Mechanics &Chinese Academy of Sciences, Xi'an, China" 582a6fdedcde646cdc4558106832f247dd4b27de,Sensor substitution for video-based action recognition,"Technische Universität München, Germany" 584f64a12382c74c72410bd46bd0d636697c94f8,Recurrent convolutional networks based intention recognition for human-robot collaboration tasks,"Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, 95616" 58b0be2db0aeda2edb641273fe52946a24a714c3,Attribute-based people search in surveillance environments,"U. of California, Santa Barbara, USA" 58b0be2db0aeda2edb641273fe52946a24a714c3,Attribute-based people search in surveillance environments,"U. of Illinois at Urbana-Champaign, USA" 580304860fa244553e10b58ccf9a9ed24a999eff,Predictive View Generation to Enable Mobile 360-degree and VR Experiences,Samsung Research America -583e0d218e1e7aaf9763a5493e7c18c2b8dd7464,Coded facial expression,Wakayama University 58493390be8aeeabbd974e3d81f7db49af1ceed1,Real-time eye detection using face-circle fitting and dark-pixel filtering,"Dept. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu, Taiwan" -58538cc418bf41197fad4fc4ee2449b2daeb08b1,Face recognition based on the fusion of wavelet packet sub-images and fisher linear discriminant,"College of Information and Electrical Engineering, Ludong University, Yantai, China" -58538cc418bf41197fad4fc4ee2449b2daeb08b1,Face recognition based on the fusion of wavelet packet sub-images and fisher linear discriminant,"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China" 5864688d1af1c139c567f323b5056b2ded994b3e,Animating pictures of water scenes using video retrieval,"5th Engineering Bldg., Room 619, Shizuoka University, Naka-ku, Hamamatsu, Japan" 5864688d1af1c139c567f323b5056b2ded994b3e,Animating pictures of water scenes using video retrieval,"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan" -5864688d1af1c139c567f323b5056b2ded994b3e,Animating pictures of water scenes using video retrieval,"OLM Digital Inc, Setagaya, Japan" -58da24cf5db383781a9803a4dbe97e443c8a3b29,Emotional Dialogue Generation using Image-Grounded Language Models,"Harvard University & Microsoft Research, Boston, MA, USA" 58192249cc6aa7b21ef32685f610585d5782544b,The FG 2015 Kinship Verification in the Wild Evaluation,"Politecnico di Torino, DAUIN, Torino, Italy" -58192249cc6aa7b21ef32685f610585d5782544b,The FG 2015 Kinship Verification in the Wild Evaluation,"Université de Lyon, CNRS, INSA-Lyon, LIRIS, France" 97486b088729a87865d08daf56072add84db3ec6,Automatic player position detection in basketball games,"Technical Faculty “Mihajlo Pupin”, University of Novi Sad, Zrenjanin, Serbia" 97486b088729a87865d08daf56072add84db3ec6,Automatic player position detection in basketball games,"Faculty of Sciences, Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia" -9797de286a3101fc31fb51995c18ec7d3eab804d,Modified Viola–Jones algorithm with GPU accelerated training and parallelized skin color filtering-based face detection,"I.K. Gujral Punjab Techncial University, Kapurthala, India" 978b916b76e2b8e48e95ac6044445529c61c2735,Turkish sign language recognition application using Motion History Image,"Bilgisayar Mühendisliği Bölümü, İhsan Doğramacı Bilkent Üniversitesi, Ankara, Türkiye" -978b916b76e2b8e48e95ac6044445529c61c2735,Turkish sign language recognition application using Motion History Image,"HAVELSAN A.Ş., Ankara, Türkiye" 97f5fb31317f75c7ba412caa1adb46de4c51c52d,QuMan: Profile-based Improvement of Cluster Utilization,"Foundation for Research and Technology--Hellas (FORTH), Heraklion, Greece" -97f5fb31317f75c7ba412caa1adb46de4c51c52d,QuMan: Profile-based Improvement of Cluster Utilization,"Foundation for Research and Technology--Hellas (FORTH), Greece" 97c1f68fb7162af326cd0f1bc546908218ec5da6,Supervised-learning based face hallucination for enhancing face recognition,"Dept. of Electrical Engineering, National Tsing-Hua University, Taiwan" 97c1f68fb7162af326cd0f1bc546908218ec5da6,Supervised-learning based face hallucination for enhancing face recognition,Department of Electronic Engineering Shanghai Jiao Tong University -9700f1cf75c3908aca56d154b2a4424ce557a7b8,A concept acquisition method based on visual perception,"College of Information Engineering, Shanghai Maritime University, Shanghai, China" 97db1cf65b4583937b0899635b9e0f7d36bcebfa,Evaluation of image enhancement quality measure in Robust PCA for Image Specularities Removal,"Department of Computer Science, University of Indonesia, Depok 16424, Indonesia" -97ea4b846be6598e2ee8e09134d1b3f966c4d0df,Facial Expression Recognition Using Gabor-Mean-DWT Feature Extraction Technique,"Redpine Signals Inc., Hyderabad, India" -978b0c301383267a8ea8ce4f9a4c58bae236bdc2,Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification,"Xi’an Jiaotong University, Xi’an, Shaanxi, China" 97ca91a896c1b9171ad2aafd455540fc65eb92a0,Chunks: The remedy for notorious false alarms in pedestrian detection,"Department of Electronics and Communication Engineering, Hanyang University (ERICA Campus), South Korea" 97de882a75b09efa53c8d39a6921cced2173414f,Kernel optimization-based discriminant analysis for face recognition,"Department of Electronic Engineering National Kaohsiung, University of Applied Sciences, Kaohsiung 807, Taiwan" 97de882a75b09efa53c8d39a6921cced2173414f,Kernel optimization-based discriminant analysis for face recognition,"Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, People’s Republic of China" -974fea3530307da6d22ef91c6765f5404514b3c5,Cross-Domain Adversarial Feature Learning for Sketch Re-identification,"Peking University Shenzhen Graduate School & Peking University, Shenzhen, China" -974fea3530307da6d22ef91c6765f5404514b3c5,Cross-Domain Adversarial Feature Learning for Sketch Re-identification,"Peking University Shenzhen Graduate School & Peking University, Beijing, China" 978c6e9c01dd6fa64dd0e357bc750345b06ff6bb,Query-Driven Approach to Face Clustering and Tagging,"Department of Computer Science, University of California at Irvine, Irvine, CA, USA" 978c6e9c01dd6fa64dd0e357bc750345b06ff6bb,Query-Driven Approach to Face Clustering and Tagging,"AT&T Labs Research, Middletown, NJ, USA" 972e044f69443dfc5c987e29250b2b88a6d2f986,Face model fitting with learned displacement experts and multi-band images,"Technische Universität München, München, Germany" -97527b3c58591926800e3586e13d99a8cf5b17ff,Learning Affine Hull Representations for Multi-Shot Person Re-Identification,"Siemens Corporate Technology, Princeton, NJ, USA" 9713e87734046cb7a2d040d71fa35cf93472ea80,Granular-based dense crowd density estimation,"Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia" 97f4a74eec00c5d2a42c6575f99d95567b78fcc6,High-Dimensional Indexing by Sparse Approximation,"Universidade Nova Lisboa, Monte de Caparica, Portugal" 970e9aced75369c697e2be8cf970f3a173ed676b,Facial feature extraction using a cascade of model-based algorithms,"Fac. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands" 97572483020c6a6daab9acba4845b87a3f47fb6e,Selecting stable keypoints and local descriptors for person identification using 3D face scans,"Department of Electrical and Computer Engineering, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates" -970b0e6e29bbc7bafc0e6a387492538c71253304,"Visual-lidar odometry and mapping: low-drift, robust, and fast","Robotics Institute at Carnegie Mellon University, USA" 97c59db934ff85c60c460a4591106682b5ab9caa,Extremely dense face registration: Comparing automatic landmarking algorithms for general and ethno-gender models,"ICT Center, CSIRO" 9790ec6042fb2665c7d9369bf28566b0ce75a936,Towards More Robust Automatic Facial Expression Recognition in Smart Environments,"Department Informatik, Hamburg University of Applied Sciences, Engineering and Computing, University of the West of Scotland" 9790ec6042fb2665c7d9369bf28566b0ce75a936,Towards More Robust Automatic Facial Expression Recognition in Smart Environments,"Department Informatik, Hamburg University of Applied Sciences, Hamburg, Germany" 9790ec6042fb2665c7d9369bf28566b0ce75a936,Towards More Robust Automatic Facial Expression Recognition in Smart Environments,"Computer Science Department, Central Washington University (CWU)" 9790ec6042fb2665c7d9369bf28566b0ce75a936,Towards More Robust Automatic Facial Expression Recognition in Smart Environments,"School of Engineering and Computing, University of the West of Scotland" 9790ec6042fb2665c7d9369bf28566b0ce75a936,Towards More Robust Automatic Facial Expression Recognition in Smart Environments,"Innovations Kontakt Stelle (IKS) Hamburg, Hamburg University of Applied Sciences" -a094e52771baabe4ab37ef7853f9a4f534227457,Estimation of Driver Head Yaw Angle Using a Generic Geometric Model,"Amrita E-Learning Research Laboratory and the Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India" -a094e52771baabe4ab37ef7853f9a4f534227457,Estimation of Driver Head Yaw Angle Using a Generic Geometric Model,"Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India" -a089b7627f4661e68fbb2acc4a741b98e54f1f09,"Knowledge Science, Engineering and Management","Università di Trento, Povo, Italy" -a07c72ff14394b4ca17ab5f7c7a431466dbd59ba,Real time security framework for detecting abnormal events at ATM installations,"Uttarakhand Technical University, Dehradun, India" -a07c72ff14394b4ca17ab5f7c7a431466dbd59ba,Real time security framework for detecting abnormal events at ATM installations,"Graphic Era University, Dehradun, India" a043d23d07ffd2590308fcab3a137c44927093b9,SIGGRAPH Asia 2016: course notes directions in shape analysis towards functionality,ShanghaiTech University a051854861453ae8a5e32ead7deed628c52f7fc5,Space-time Histograms And Their Application To Person Re-identification In TV Shows,"CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France" -a023d6c315d154e4fb74de6ddff5d4cdcb583326,Fake shadow detection using local HOG features,"Dept. of Electronics and Communication, MSRIT, Banglore, India" a00bce12ec19af1c3a1897841b688d2f32ffe7d9,Real-time facial feature extraction using statistical shape model and Haar-wavelet based feature search,"Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands" a00a59d79ff863c5ac8f1e0fa4a015de4ed734c0,Wavelet-Based Trace Alignment Algorithms for Heterogeneous Architectures,"Intel Corporation, Hillsboro, OR, USA" -a00a59d79ff863c5ac8f1e0fa4a015de4ed734c0,Wavelet-Based Trace Alignment Algorithms for Heterogeneous Architectures,"Nvidia Research, Westford, MA, USA" -a00a59d79ff863c5ac8f1e0fa4a015de4ed734c0,Wavelet-Based Trace Alignment Algorithms for Heterogeneous Architectures,"Intel Corporation, Hudson, MA, USA" a07f78124f83eef1ed3a6f54ba982664ae7ca82a,Tensor based robust color face recognition,"Dept. of Computing, Curtin University GPO Box U1987, Perth, WA 6845" a05d26ea50e7bf9637c4a101a1bdd5a231da9e03,Face Recognition using Groups of Images in Smart Room Scenarios,"Technical University of Catalonia, Barcelona, Spain. veronica@gps.tsc.upc.es" a05d26ea50e7bf9637c4a101a1bdd5a231da9e03,Face Recognition using Groups of Images in Smart Room Scenarios,"Technical University of Catalonia, Barcelona, Spain." -a05d26ea50e7bf9637c4a101a1bdd5a231da9e03,Face Recognition using Groups of Images in Smart Room Scenarios,"Technical University of Catalonia, Barcelona, Spain. ferran@gps.tsc.upc.es" a00bcd5db27ab270a11e83d3286f0c18a847d674,Computing the 3D face recognition based on pseudo 2D Hidden Markov Models using geodesic distances,"Electrical and Electronics Department, Polytechnic of Bari, Via E. Orabona, 4, 70125, Italy" -a05b7a206c86b3928746cce935f6f85d534a43cd,Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning,"Computational Medicine Lab, Shandong University of Traditional Chinese Medicine, Jinan, China" a05b7a206c86b3928746cce935f6f85d534a43cd,Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning,"Department of Medical Imaging, Western University, London, Canada" a05b7a206c86b3928746cce935f6f85d534a43cd,Automated Pathogenesis-Based Diagnosis of Lumbar Neural Foraminal Stenosis via Deep Multiscale Multitask Learning,"Digital Image Group (DIG), London, Canada" -a02c87cb623f5e20cd986ffcf046d63a5add0b85,Detection and Restoration of Occlusions for 3D Face Recognition,"DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. colomboal@disco.unimib.it" -a02c87cb623f5e20cd986ffcf046d63a5add0b85,Detection and Restoration of Occlusions for 3D Face Recognition,"DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. cusano@disco.unimib.it" a02c87cb623f5e20cd986ffcf046d63a5add0b85,Detection and Restoration of Occlusions for 3D Face Recognition,"DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. schettini@disco.unimib.it" -a0c70766f1238f975db0ba687220ee78271d8b22,Face recognition using MB-LBP and PCA: A comparative study,"Dept. of CS and E, U.B.D.T.College of Engineering, Davanagere, Karnataka, India" -a0c70766f1238f975db0ba687220ee78271d8b22,Face recognition using MB-LBP and PCA: A comparative study,"Dept. of CSE, Indian Institute of Technology Guwahati, Guwahati, Assam, India" a07e7443a51cf64a338500a834f5d80cee69d5d1,ACFS: a completely fair scheduler for asymmetric single-isa multicore systems,"Complutense University, Madrid, Spain" a07e7443a51cf64a338500a834f5d80cee69d5d1,ACFS: a completely fair scheduler for asymmetric single-isa multicore systems,"II-LIDI, UNLP, La Plata, Argentina" 1e5f33a4843fe609aedd060c50278d0d62e0adc8,Attribit: content creation with semantic attributes,"University of Massachusetts-Amherst, Amherst, MA, USA" -1eeb39d618f5fab243dd07b955a8e0e722f6dfdb,A reduced region of interest based approach for facial expression recognition from static images,"Department of Electronics and Communication, R.V. College of Engineering, Bangalore, India" -1ed4791ea3bb9a9503a1cb61b525757e0e4700dc,Adaptive scene correlation learning based on scale-invariant appearance co-occurrence model for camera network,"Shenzhen Silver Star Intelligent Technology Co., LTD, China" -1e7ca1f8393c1a39e60329fce8560be92ac8c96b,Learning Spatio-Temporal Information for Multi-Object Tracking,"Jiangsu Province Key Laboratory on Image Processing and Image Communications, Nanjing University of Posts and Telecommunications, Nanjing, China" 1eb1fdc5c933d2483ba1acbfa8c457fae87e71e5,Building semantic understanding beyond deep learning from sound and vision,"Dept. de Ciência da Computacão, Universidade Federal de Ouro Preto, MG Brazil" 1e6b3ae784416252d98d8d3433ecacddfc0839fc,Object class recognition with supervised nonlinear neighborhood embedding of visual words,Omron corporation 1e3fc86fa478acd5ee85b89f78077984acdb1f4a,Vehicles of the Future: A Survey of Research on Safety Issues,"German–Turkish Advanced Research Centre for Information and Communication Technology, Berlin, Germany" 1e3fc86fa478acd5ee85b89f78077984acdb1f4a,Vehicles of the Future: A Survey of Research on Safety Issues,"Distributed Artificial Intelligence Laboratory, Technische Universität Berlin, Berlin, Germany" -1e8cef4a24376bd12df5bbb4a1fd7a1af95cc2d8,Body orientation estimation with the ensemble of logistic regression classifiers,"Laboratory of Image Processing and Data Mining, Shahrood University of Technology, Shahrood, Iran" -1ef79451c83cd625a9d1c8941bcab850956f30f0,Deep Learning for Predicting Image Memorability,"Technicolor, 975 Avenue des Champs Blancs, Cesson-Sevigne, 35576, France" -1ece9e67cdc9141f3d27102d820ed9490ea57039,A novel SURF-based algorithm for tracking a ‘Human’ in a dynamic environment,"Innovation Lab, Tata Consultancy Services, New Delhi, India 201301" -1e2844dfdaabaf555fe6fa3162cfe454a4eeb3f6,3D Face Similarity Measure by Fréchet Distances of Geodesics,"School of Data Science and Software Engineering, Qingdao University, Qingdao, China" -1e2844dfdaabaf555fe6fa3162cfe454a4eeb3f6,3D Face Similarity Measure by Fréchet Distances of Geodesics,"College of Automation and Electrical Engineering, Qingdao University, Qingdao, China" -1e2844dfdaabaf555fe6fa3162cfe454a4eeb3f6,3D Face Similarity Measure by Fréchet Distances of Geodesics,"College of Computer Science and Technology, Qingdao University, Qingdao, China" -1ed1a49534ad8dd00f81939449f6389cfbc25321,A novel face recognition method based on 3D face model,"Institute of Image & Graphic, Computer Science Department of Sichuan University, Chengdu, 610064, China" -1ed1a49534ad8dd00f81939449f6389cfbc25321,A novel face recognition method based on 3D face model,"Faculty of Computer Science and Information Technology, YunNan Normal Univeristy, 650092, China" -1ed1a49534ad8dd00f81939449f6389cfbc25321,A novel face recognition method based on 3D face model,"school of computer science and engineering, Xi¿an University of Techonology, China" 1eec7a6effd09be491ac983fb088e4aab02567c5,Mixed emotions in multi view face emotion recognition,"Department of computer and communications engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia" 1eec7a6effd09be491ac983fb088e4aab02567c5,Mixed emotions in multi view face emotion recognition,"Department of electrical and electronic engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia" 1ec73ee49e422b4509c016ce244822144c849089,Face recognition with multimodal subspace analysis,"Bili§im Enstitüsü, İTÜ" 1ec73ee49e422b4509c016ce244822144c849089,Face recognition with multimodal subspace analysis,"Bilgisayar Mühendisliği Bölümü, ITÜ" 1ed93b32367351089815aeeedf06cde9e999a346,Future and Emerging Trends in Language Technology. Machine Learning and Big Data,"University of Seville , Sevilla, Spain" -1ed93b32367351089815aeeedf06cde9e999a346,Future and Emerging Trends in Language Technology. Machine Learning and Big Data,"University of Seville , Seville, Spain" 788b16995a689a918b7994977350e7db13ef96a4,Efficient Conversion of Deep Features to Compact Binary Codes Using Fourier Decomposition for Multimedia Big Data,"Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, València, Spain" 78c4061ac15acfcbd932a159e9c00116bed7f362,Efficient ConvNet for real-time semantic segmentation,"Electronics Department, University of Alcalá (UAH), Alcalá de Henares, Spain" 7804dc14a7d57cfbbab584c3fd7a111410451b64,Exploring quantization error to improve human action classification,"Audio-Visual Information Processing Laboratory (VIPLAB), Graduate Program in Informatics - Computer Science Department, Pontifical Catholic University of Minas Gerais (PUC Minas)" @@ -7629,20 +4521,14 @@ a07e7443a51cf64a338500a834f5d80cee69d5d1,ACFS: a completely fair scheduler for a 788d2921dedf20464a09c1038a5c2f06d2ff54a7,Towards the Internet of Services: The THESEUS Research Program,"Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH, Saarbrücken, Germany" 788d2921dedf20464a09c1038a5c2f06d2ff54a7,Towards the Internet of Services: The THESEUS Research Program,"Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany" 788d2921dedf20464a09c1038a5c2f06d2ff54a7,Towards the Internet of Services: The THESEUS Research Program,"Empolis Information Management GmbH, Kaiserslautern, Germany" -788d2921dedf20464a09c1038a5c2f06d2ff54a7,Towards the Internet of Services: The THESEUS Research Program,"Corporate Technology, Siemens AG, München, Germany" 788d2921dedf20464a09c1038a5c2f06d2ff54a7,Towards the Internet of Services: The THESEUS Research Program,"Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany" 782ac29bd3aa298a61884154d2e342d08f66bd69,Adapting an object detector by considering the worst case: A conservative approach,"Core Technology Center Omron Corporation Kyoto, Japan" -7820021d8a3eace969cea5f4865c5aeef4673596,Diagnosing Machine Learning Pipelines with Fine-grained Lineage,"University of Chicago, Chicago, IL, USA" 78250b9481690aeb2f558e69c9e782dad2bf90e3,Face recognition using a new compressive sensing-based feature extraction method,"Yazd University, Yazd, Iran" 78e6b410d56d65a1a6af0e65e07fe8afeea04af3,Fast growing hough forest as a stable model for object detection,"U2IS, ENSTA ParisTech, Université de Paris-Saclay, 828, Bd des Maréchaux, 91762 Palaiseau CEDEX - France" 7825708552c86079d0d11f48033ced391c0754ce,An exposition of facial expression recognition techniques,"School of Systems and Technology, University of Management and Technology, Lahore, Pakistan" 7825708552c86079d0d11f48033ced391c0754ce,An exposition of facial expression recognition techniques,"Department of Mathematics, University of Punjab, Lahore, Pakistan" -78bb037c4ac31b2846766086fde83558dc3c17d2,Simple tag-based subclass representations for visually-varied image classes,"Yahoo Research, USA" 7800f968f1ee3b12e7f1f415f8b042023a3a7926,Region categorization with mobile applications,"Nokia Corporation, San Francisco, CA, USA" 7809e6d99147bc4a5a8f1379b39354b3e65ccebb,Detecting occluded people for robotic guidance,"Toyota InfoTechnology Center, Mountain View, CA 94943 USA" 78a77643f8040b3b6630985fe4236a302d73e562,Strongly connected component multi-object tracking,"Department of Electronic Engineering, Chinese University of Hong Kong, Shatin, Hong Kong" 78133d47c333109ac8f87774603bbc87ffdef0c2,A comprehensive audio-visual corpus for teaching sound Persian phoneme articulation,"IRIB University, 19395-1746, Niayesh Ave., Tehran, Iran" 78133d47c333109ac8f87774603bbc87ffdef0c2,A comprehensive audio-visual corpus for teaching sound Persian phoneme articulation,"Department of Electrical, Computer and IT Engineering, Qazvin Azad University, Qazvin, Iran" -78034811e1d0adcaf88e3dc4d08ae1e03dbfcd94,A hybrid fusion scheme for color face recognition,"Bio-computing research center, Shenzhen Graduate School Harbin Institute of Technology, China" -78034811e1d0adcaf88e3dc4d08ae1e03dbfcd94,A hybrid fusion scheme for color face recognition,"Shenzhen Sunwin Intelligent Co., Ltd, China" -78fd41d5138b2b920d5b0e151da89ea4eff7560f,Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals,"Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa, Allahabad 211012, India" diff --git a/scraper/reports/doi_institutions_unknown.html b/scraper/reports/doi_institutions_unknown.html index d1fbebda..03dda2bf 100644 --- a/scraper/reports/doi_institutions_unknown.html +++ b/scraper/reports/doi_institutions_unknown.html @@ -1,5 +1,4 @@ -Unknown Institutions from DOI

Unknown Institutions from DOI

College of Command Information Systems, PLA University of Science and Technology, Nanjing, China17
Academia Sinica, Taipei, Taiwan Roc15
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Shatin, China15
Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China14
Computer Science Department, Technical University of Cluj-Napoca, Romania14
Division of System Integration and IC Design, Institute of Nano-tech and Nano-bionics, CAS, Suzhou, China14
Dipartimento di Informatica, University of Verona, Italy13
Department of Telecommunication Engineering, Beijing Information Science and Technology University, China13
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou 310007, P. R. China11
College of Command Information Systems, PLA University of Science & Technology, Nanjing, China11
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA11
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, India11
Department of Computer Science, TU Darmstadt11
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China11
CNRS-LTCI, Télécom ParisTech, Paris, France10
Department of Scientific and Engineering Simulation, Nagoya Institute of Technology, Japan10
Institute of Mathmatics and Computer Science, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil10
da/sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany10
Graduate School of Engineering, Tottori University, Japan10
University of Udine, Udine, Italy10
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China10
National Taiwan Unversity, Taipei, Taiwan Roc10
Google Research, Zurich, Switzerland10
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Lyon, France10
MPI Informatik10
Nagoya Institute of Technology, Japan10
University of California, Berkeley, Berkeley, CA, USA10
Research Center on Software Technologies and Multimedia Systems for Sustainability (CITSEM), Technical University of Madrid, Spain10
Australian Centre for Field Robotics (ACFR) at the University of Sydney (NSW, Australia)9
Department of Electronics and Communication Engineering, Government of Karnataka Research Centre, Sahyadri College of Engineering and Management, Mangaluru, Karnataka, India9
School of Information and Electronics, Beijing Institute of Technology, Beijing, China9
Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, ul. Konstantynów 1H, 20-708, Poland9
Intel China Research Center, Beijing, China9
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA9
Renmin University of China, Beijing, China9
INRIA Rhône-Alpes, Grenoble, France9
Université Picardie Jules-Vernes, 80000 Amiens, France9
Brno University of Technology9
Department of Computer and Information Science, University of Konstanz, Germany9
North Carolina Agricultural and Technical State University, Greensboro, NC9
Computer Vision and Pattern Recognition Laboratory, Keimyung University, Daegu, South Korea9
Indian Institute of Information Technology, Allahabad, India9
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210046, China9
Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy8
Center for Advanced Studies in Identity Sciences, North Carolina A & T State University, Greensboro, NC, USA8
Dipartimento di Sistemi e Informatica, University of Firenze, Firenze, Italy8
Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India8
NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, China8
College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China8
Université Paris-Sud, 91405, Orsay, FRANCE8
CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France8
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, P.R., 710049, China8
Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, Bethesda, MD, USA8
Department of Computer Science, North Carolina A&T State University, 1601 East Market St. Greensboro, 27411, USA8
CERTH-ITI, Thessaloniki, Greece8
Renmin University of China, China8
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0815, Japan8
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK8
Indraprastha Institute of Information Technology (IIIT), Delhi, India8
Academia Sinica, Taipei, Taiwan8
Department of Automatic Control and Systems Engineering, University of Sheffield, S1 3JD, UK8
Center for Research in Intelligent Systems, University of California, Riverside, USA8
Dept. Electronics and communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
Dept. Information Science Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India8
National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China8
School of Information Science and Engineering, Lanzhou University, Lanzhou, China8
Computer Vision Center, UAB, Barcelona, Spain8
Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Genova - Italy8
The University of Melbourne8
Sarnoff Corporation, Princeton, NJ, USA8
University of Sassari, Italy8
Department of Computer Science and Engineering, Islamic University of Technology, Gazipur-1704, Bangladesh8
Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology(BUET), Dhaka-1000, Bangladesh8
Graduate School of Electrical Engineering, University of Ulsan, 680-749, Republic of Korea8
Institute for Infocomm Research, A∗STAR, Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386328
Department of Microelectornics and Computer Science, Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland8
Masaryk University, Brno, Czech Republic8
School of Electronics, Electrical Engineering and Computer Science, Queens University Belfast, BT7 1NN, UK8
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China8
Fraunhofer IOSB, Ettlingen, Germany8
Mitsubishi Electric Research Laboratories, Cambridge, MA, USA8
UC Berkeley and Max-Plank-Institute for Informatics, Germany7
CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy7
DGIST, Daegu, Republic of Korea7
Computer Science Department, University of Buenos Aires, Argentina7
North Carolina Agricultural and Technical State University, NC7
Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, P. R. China7
Singapore-MIT Alliance for Research and Technology, Singapore7
Barcelona Supercomputing Center, Spain7
Institute of Engineering & Management, Kolkata7
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University, Greensboro, USA7
University of Missouri-Columbia, USA7
Sch. of Behavioral & Brain Sci., Texas Univ., Richardson, TX, USA7
School of Electrical Engineering and Computer Science, Pennsylvania State University, PA USA7
Autonomous Vehicle Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386327
Department of Biomedical Engineering, Srinakharinwirot University, Ongkharak, Thailand7
Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy7
School of Information Science and Engineering, Ocean University of Chisana, Qingdao, China7
Université de Lyon, CNRS, Ecole Centrale Lyon, LIRIS UMR 5205, 69134, Ecully, France7
SenseTime Research7
Intelligent Systems Research Laboratory, University of Reading, United Kingdom7
National Engineering Research Center for Multimedia Software, Computer School of Wuhan University, China7
Digital Performance and Simulation Key Laboratory, School of Software, Beijing Institute of Technology, Beijing 100081, China7
Joint Research Institute for Signal and Image Processing, Heriot-Watt University & University of Edinburgh, UK7
NAIST7
University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany7
Bilgisayar Mühendisliği Bölümü, Hacettepe Üniversitesi, Ankara, Türkiye7
Klagenfurt University, Klagenfurt, Austria7
Microsoft, Redmond, WA, USA7
Graduate School of Electrical Engineering, University of Ulsan, Korea7
Department of Computer Science & Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China7
Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka7
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China7
Honda Research Institute (HRI) Europe, Carl-Legien-Str. 30, 63073 Offenbach, Germany7
Kyushu Institute of Technology, Iizuka, Japan7
Chonnam National University, Gwangju, South Korea7
Image Processing and Pattern Recognition Group, Computer Science Department, Technical University of Cluj-Napoca, Romania7
Computer Vision Laboratory, ETH Zurich, Switzerland7
Università degli Studi di Firenze, Firenze, Italy7
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye7
SENSE VIT University Vellore, India7
MIT Lincoln Laboratory, 244 Wood St., Lexington, Ma. 024207
Dept. of Comput., Hong Kong Polytech. Univ., China7
Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway7
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany7
Department of Electronics and Communication Engineering Govt. of Karnataka R&D Sahyadri College of Engineering and Management, Mangaluru 575007, India7
School of Automation and Electrical Engineering, University of Science and Technology Beijing, 100083, China7
CRIPAC & NLPR, CASIA7
International Computer Science Institute, Berkeley, CA, USA7
Centre for Research & Technology-Hellas, Thessaloniki, Greece7
Fondazione Bruno Kessler, Trento, Italy7
Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA7
University of Catania, Catania, Italy7
University of California7
TCS Innovation Labs, Bangalore, India6
Yildiz Technical Univeristy, Computer Eng. Dept. İstanbul, Turkey6
PLA University of Science and Technology (PLAUST), Nanjing, China6
Institute of Computer Science, Foundation for Research and Technology—Hellas, Heraklion, Greece6
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China6
Centro de Informática, Universidade Federal de Pernambuco, Recife, PE, 50.740-560, Brazil6
Dept. of Comput. Sci., Houston Univ., TX, USA6
SRI International Sarnoff Princeton, NJ 085406
LIRIS(UMR CNRS 5205) Ecole Centrale de Lyon, France6
University of Alicante, Alicante, Spain6
IBM Research - Haifa, Israel6
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA6
École de technologie superieure6
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19 Bratislava, Slovak Republic6
Gdańsk University of Technology, Poland6
Beijing, China6
Department of Computer and Communication Systems, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia6
Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy6
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China6
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore6
School of Information Science and Technology, Dalian Maritime University, Dalian, China6
Department of Computer Science and Technology, Harbin Institute of Technology University, 518055 Shenzhen, China6
School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia6
Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K.6
School of Automation, Nanjing University of Post and Telecommunications, 210046, China6
University of Firenze, Firenze, Italy6
Institute of Information Science and Technologies, ISTI-CNR, Pisa Italy6
Department of Computer Science, Southern Illinois University Carbondale, Carbondale, IL, USA6
Dept. of Computer Science and Engineering, St. Joseph's College of Engineering and Technology, Palai, Kerala, India6
PUC-RS, Brazil6
Freie Universität Berlin, Germany6
Visualization and Computer Vision Lab, General Electric, 1 Research Circle, Niskayuna, NY, USA6
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shannxi, P.R.China6
Los Alamos National Laboratory, New Mexico, USA6
School of Computing, University of South Alabama6
Institute for Building Informatics, Graz University of Technology (TU Graz), Graz, Austria6
Computer Engineering Dept., Amirkabir University, Tehran, Iran6
Speech, Audio, Image and Video Technology (SAIVT) Laboratory Queensland University of Technology, Australia6
School of Engineering, University of Baja California, Tijuana, México6
School of Remote Sensing and Information Engineering, Wuhan University Wuhan, China6
Thales Services, ThereSIS, Palaiseau, France6
School of Information Engineering, Yangzhou University, Yangzhou, China6
Department of Computer Science and Statistics, Rey Juan Carlos University, Madrid, Spain6
Multi-Robot Systems (MRS) Research Group, German University in Cairo, Cairo, Egypt6
Department of Computer Science, Zhejiang Normal University Jinhua, P.R. China6
Disney Research, Pittsburgh, USA6
Computational Intelligence Research Group, Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University Newcastle, NE1 8ST, UK6
UC Berkeley6
CEA, LIST, Vision and Content Engineering Laboratory, Point Courrier 173, F-91191 Gif-sur-Yvette, France6
Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, P.R. China6
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, Germany6
Institute of Computer Science and Mathematics, Slovak University of Technology, Bratislava, Slovakia6
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, China6
Zhejiang University of Technology 288 Liuhe Rd. Hangzhou, P. R. China, 3100236
College of Mechatronic Engineering and Automation National University of Defense Technology Changsha, Hunan, P.R.China6
Dept. of Electrical and Electronic Engineering, University of Peradeniya6
University of Verona, Department of Computer Science6
Dept. of Eng. Sci., Oxford Univ., UK6
Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal6
Universidade Federal de Campina Grande, Brazil6
SIANI-Universidad de Las Palmas de Gran Canaria, Spain6
Daimler AG, Research and Development, Ulm, Germany6
Nara Institute of Science and Technology, Japan6
CVIT, IIIT Hyderabad, India6
Hyung Ju Suh, a Caltech student, and Sarah Bechtle, are affiliated interns at JPL.6
Institute for Information and System Sciences, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China6
Advanced Vehicle Engineering Centre, Cranfield University, Bedford, U.K.6
Computational Vision Group, School of Systems Engineering, University of Reading, Whiteknights, RG6 6AY, UK6
Advanced Telecommunication Research Institute International, Kyoto, Japan6
Department of Telecommunications and Multimedia, University of Zilina, Zilina, Slovakia6
Computer Science Department, Technion - Israel Institute of Technology, Technion City, Haifa, Israel, 320006
School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.6
Department of Electrical and Computer Engineering, The Johns Hopkins University Baltimore, MD, USA6
HIT Delhi, India6
Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA6
NC A&T State University, Greensboro, NC, USA6
Institute for Infocomm Research, A*STAR, Singapore, Singapore6
University of California, Irvine, Irvine, CA, USA6
Nokia Research Center, Beijing, China6
Electronics and Telecommunications Research Institute, Daejeon, Korea6
School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, China P.R.C6
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan6
AAU UMR CNRS 1563, Ecole Centrale de Nantes, France6
INRIA, France6
Université de Toulouse, Toulouse, France6
Adv. Technol. Application Center, Havana6
College of Communications Engineering, PLA University of Science and Technology, Nanjing, China6
Hacettepe Bilgisayarlı Görü Laboratuvarı (HUCVL), Hacettepe Üniversitesi, Turkey6
Department of Future Technologies, University of Turku, Finland6
Electrical Engineering Indian Institute of Science, Bengaluru, Karnataka6
Université de Technologie de Compiègne (UTC), France6
Department of Mathematics and Computer Science, University of Marburg, Marburg, Germany6
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa6
Dept. of Computer Engineering and Mathematics, Rovira i Virgili University, 43007 Tarragona, Spain6
Computer Institute, Federal University of Alagoas, Maceió - AL, Brazil6
UC San Diego6
CReATe Fertility Centre, Toronto, Canada6
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan6
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China6
College of Automation, Nanjing University of Posts and Telecommunications, 210046, China6
TU Darmstadt, Darmstadt, Germany6
Dept. of Electronics and Communication Engg., M.S. Ramaiah Inst. of Tech., Bangalore-560054, INDIA6
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China6
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China6
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China6
Electrical and Electronics Department, Polytechnic of Bari, Via E. Orabona, 4, 70125, Italy5
Université de Lyon, CNRS, INSA-Lyon, LIRIS, France5
University of Southern California Institute for Creative Technologies, Los Angeles, CA5
Active Vision Group, University of Koblenz-Landau, Universitätsstr. 1, 56070, Germany5
DFKI GmbH, Kaiserslautern, Germany5
Faculdade de Informática, Pontifícia Universidade Católica do Rio Grande do Sul, Av. Ipiranga, 6681, 90619-900, Porto Alegre, RS, Brazil5
Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile5
Escola Politécnica, Pontifícia Universidade Católica do Rio, Grande do Sul5
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences5
VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy5
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco - Brazil5
Dept. of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh5
Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda-shi, Chiba, 278-8510, Japan5
CNR IFC-Institute of Clinical Physiology, Pisa, Italy5
Institute for Human-Machine Communication, Technische Univerität München, Arcisstr. 3, 80333 Munich, Germany5
College of Information Engineering China Jiliang University, HangZhou, China 3100185
Lawrence Livermore National Laboratory, Livermore, CA5
Computer Science Department, Bina Nusantara University, Jakarta, Indonesia5
Securics, Inc, USA5
C.d.L. Scienze dell'Informazione - Università di Bologna, via Sacchi 3, 47023 Cesena, ITALY5
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, 100872, China5
Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines5
Norwegian Biometrics Laboratory, Gj⊘vik University College, 2802 Gj⊘vik, Norway5
College of Computer and Information Technology, Institute of Intelligent Vision and Image Information, China Three Gorges University, Yichang, Hubei Province, 443002, China5
University of Athens, Athens, Greece5
Automotive Processor, Texas Instruments Incorporated, Bangalore, India5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan5
Inst. Nat. des Telecommun., Evry, France5
College of Information Engineering China Jiliang University, 310018, Hangzhou, Zhejiang, China5
Centro de Visión Por Computador-Edificio O, Universidad Autónoma de Barcelona, Bellaterra, Spain5
Simula Research Laboratory & University of Oslo, Oslo, Norway5
KDDI R&D Laboratories, Inc., Fujimino, Saitama, Japan5
Toyota Central R&D Labs., Inc., Nagakute, Japan5
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava5
College of Information Engineering, China Jiliang University, CJLU Hangzhou, China5
Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, 4007145
CASIS at the Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27411, USA5
Department of Information Technology, National Institute of Technology, Karnataka, Surathkal5
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Minas Gerais, Brazil5
CVIT, IIITH, India5
Information Engineering College, Henan University of Science and Technology, Luoyang, Henan Province, China5
Gwangju Institute of Science and Technology5
Information Research Institute, Shandong Academy of Sciences, No 19 Keyuan Road, Jinan, 250014, China5
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, Stuttgart, Germany5
School of Engineering and Built Environment, Glasgow Caledonian University, Scotland, United Kingdom5
GREYC Laboratory, ENSICAEN - University of Caen - CNRS, 6 Boulevard Maréchal Juin, 14000, France5
School of Information Science and Technology, NorthWest University Xi'an, China5
Federal University of Rio de Janeiro, Cx.P. 68504, CEP 21945-970, Brazil5
Department of Computer Science and Engineering, University of Moratuwa, Sri Lanka5
Department of Electronic Engineering Tsinghua University, Beijing, China, 1000845
Computer Technology Department, University of Alicante, Spain5
Slovak University of Technology in Bratislava, Faculty of Informatics and Information Technologies, Ilkovičova 2, 842 16, Slovak Republic5
CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China5
Daimler AG, R&D, Böblingen, Germany5
GI-IATa, Centro de Investigación, Desarrollo e Innovación en Ingeniería, Universidad Politécnica Salesiana, Cuenca-Ecuador5
Dept. of Computer Science, Faculty of Science Chouaib Doukkali University, El Jadida, Morocco5
Department of Information Technology, Er. Perumal Manimekalai College of Engineering Koneripalli, Hosur, India5
Surrey Univ., Guildford, UK5
Machine Vision Laboratory, University of the West of England, Bristol, UK5
Leibniz Universität Hannover, Institute of Microelectronic Systems, 30167 Hanover, Germany5
Faculty of Engineering, Shinshu University, 4-17-1 Wakasato, Nagano 380-8553, Japan5
Department of Electronics, University of Alcalá (UAH), Alcalá de Henares, Madrid, Spain5
College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China5
Department of Computer Science and Engineering, University of Electronic Science and Technology, Sichuan, China5
Universite de Techonologie de Compiegne, Sorbonne Universites, Compiegne, France5
Faculty of Information Technology, Beijing University of Technologyy, Beijing, 100124, China5
School of Automation, Beijing Institute of Technology, 100081, China5
University of California, Riverside, CA, USA5
Department of Mathematics and Computer Science, University of Udine, Udine, Italy5
Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand5
Centre for Autonomous and Cyber-Physical Systems, School of Aerospace, Transport and Manufacturing, Cranfield University, MK430AL, UK5
University of Bologna, Department of Computer Science and Engineering (DISI), Viale del Risorgimento 2, Bologna, Italy5
Department of Electronics and Telecommunication Engineering, Don Bosco Institute of Technology, Kurla (W), Mumbai, India5
School of Information Engineering, Nanchang Institute of Technology, Nanchang, China5
Department of CSE, National Institute of Technology, Rourkela, India, 7690085
Xi'an University of Technology, Xi'an, 710048, P. R. China5
Department of Computer Science, Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia5
Institute of Image Communication and Information Processing, Department of Electronic Engineering, Shanghai Jiaotong University5
Technische Universität München, Munich, Germany5
School of Automatic, Nanjing University of Posts and Telecommunications, Nanjing, 2100465
Southern Illinois University at Carbondale, IL, USA5
School of Information Science and Engineering, Changzhou University, Changzhou, China5
Department of Electrical and Computer Engineering Texas A&M University College Station, TX 778435
Inria Paris, Paris, France5
ISTI-CNR, Pisa, Italy5
School of Automation, Nanjing University of Posts and Telecommunications, 210003, China5
Laboratoire d'Informatique, de Traitement de l'Information et des Systemes, INSA Rouen, Avenue de l'Universite, 76800, Saint-Etienne-du-Rouvray, France5
University of Applied Sciences Aschaffenburg, Germany5
Hyundai Motor Company, Gyeonggi-do in South Korea5
Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland5
School of Computing, University of Eastern Finland, Joensuu, Finland5
University of Ontario Institute of Technology, Simcoe St N, Canada5
BMW Group Technology Office5
Institute of Digital Media Peking University, Beijing, China5
Pakistan Navy Engineering College, Karachi National University of Science and Technology, Islamabad Pakistan5
Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan, ROC5
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), 08028, Barcelona, Spain5
Department of Electronic and Computer Engineering, Brunel University London, UK5
School of Computer and Information Engineering, Henan University, Kaifeng, China5
School of Electronics and Telecommunications, Hanoi University or Science and Technology, Vietnam5
Universitat Politècnica de Catalunya5
School of Automation Science and EngineeringSouth China University of Technology5
Shenyang Institute of Automation, CAS, Shenyang, 110016, China5
Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, Dijon, France5
School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand5
Computer Vision and Pattern Recognition Laboratory (CVPRL), Indian Institute of Technology Ropar, Rupnagar-140001, Punjab, India5
Siqura B.V., Gouda, The Netherlands5
LITIS laboratory, INSA de ROUEN - Université de Rouen IRSEEM, ESIGELEC5
Shenzhen, China5
Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy5
Computer Vision Lab - Syed Babar Ali School of Science & Engineering Lahore University of Management Sciences5
Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain5
School of Automation, Beijing Institute of Technology, Beijing 100081, China5
Graduate School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea5
ERAU 3700 Willow Creek Rd Prescott, AZ 863145
University of Freiburg, Germany5
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University5
The authors are with the Department of Teleinformatics Engineering,Federal University of Ceará C.P. 6007, CEP: 60555-760,Fortaleza-CE, Brazil5
College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, China5
School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China5
European Commission, Joint Research Centre (JRC), Institute for Transuranium Elements (ITU), Via Enrico Fermi 2749, Ispra (VA), Italy5
Beijing Technology and Business University, Beijing, China5
Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, 302017, India5
Centro de Investigación en Informática para la Ingeniería (CIII) Universidad Tecnológica Nacional, Facultad Regional Córdoba, Maestro Lopez esq. Cruz Roja Argentina, Córdoba Argentina5
INESC-ID, IST, Universidade de Lisboa, Rua Alves Redol 9, 1000-029 Lisbon, Portugal5
SKLOIS, IIE, CAS, Beijing, China5
Department of Computer Science, CAMP, Technische Universität München (TUM), Germany5
Technion - Israel Institute of Technology5
Department of Information and communication engineering, INHA University Computer Vision Laboratory, Incheon, South Korea5
Hebrew University of Jerusalem, Jerusalem, Israel5
Kulliyyah of Information & Communication Technology, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia5
University of California Irvine, CA5
School of Information Science and Engineering, Shandong Normal University, Jinan, China5
Computer Vision Group, Friedrich Schiller University Jena, Germany5
School of Information Science and Engineering, Central South University, Changsha, 410083, China5
Faculty of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan5
College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications, China5
Faculty of Information Technology, College of Information and Communication Technology, Thai Nguyen University, Vietnam5
Image and Video Systems Lab, School of Electrical Engineering, KAIST, Republic of Korea5
College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China5
Faculty of Science and Technology, Tokyo University of Science, Chiba, Japan5
The LNM Institute of Information Technology, Jaipur, India5
University at Albany, State University of New York, USA5
SIAT at Chinese Academy of Sciences, China5
Lawrence Berkeley National Laboratory, Berkeley, USA5
Technical University of Cluj-Napoca, Computer Science Department, Romania5
Technical University of Cluj-Napoca, Department of Communication, C. Daicoviciu 15, Cluj-Napoca, Romania5
Department of Computer Science, Technical University of Cluj-Napoca, Romania5
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea5
Graduate School of Electrical and Computer Engineering, University of Ulsan, Ulsan 680-749, Korea5
College of Information Engineering China Jiliang University, Hangzhou, China 3100185
Center for Research on Intelligent Perception and Computing, CASIA5
International Computer Institute, Ege University, Izmir, Turkey5
Cummins College of Engineering for Women5
Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)5
College of Command Information Systems, PLA University of Science and Technology (PLAUST), Nanjing, China5
Department of Electrical Engineering, University of California, Riverside5
Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany5
Google, California, United States5
PARC, Palo Alto, CA, USA5
Institute for Infocomm Research - A*STAR, 1 Fusionopolis Way #21-01 Singapore 1386325
Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece5
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Chinese Academy of Sciencse, Beijing, China5
MIT Lincoln Laboratory, Lexington, MA, USA5
University of California, Irvine, Irvine, USA5
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, New York, USA5
Dept. of Computer Science, Indiana University Purdue University Indianapolis, USA5
Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, USA5
Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand5
CTA, Gdańsk, Poland5
Institute of Intelligent System and Decision, Wenzhou University, China, 3250355
Johannes Kepler University, Linz, Austria5
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung, University, Tainan, Taiwan, R.O.C5
Dept. of Autom., Tsinghua Univ., Beijing, China5
Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Japan5
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia5
K.U. Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images at the Medical Imaging Research Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium5
Intelligent Systems Research Laboratory School of Computer Science and Electronic Engineering University of Reading, United Kingdom5
Centre for Intelligent Systems Research Deakin University, Australia5
Chonnam National University, Gwangju, Korea5
Intel Labs5
University of Sheffield, Sheffield, United Kingdom5
Dipartimento di Ingegneria dell'Informazione Università Politecnica delle Marche, Via Brecce Bianche, 60131, Ancona, Italy5
R V College of Engineering, Department of Computer Science and Engineering, Bangalore, India5
CBSR&NLPR. Institute of Automation Chinese Academy of Sciences., Beijing, 100190, China5
Exploratory Comput. Vision Group, IBM Thomas J. Watson Res. Center, Hawthorne, NY, USA5
Fujitsu Laboratories Limited, Kanagawa, Japan5
Inst. of Comput. Technol., Chinese Acad. of Sci., China5
Huawei Technologies, Beijing, China5
Electronics and Telecommunications Research Institute, Korea5
TDC, Network Systems and Technologies (NeST) Technopark, Thiruvananthapuram - 695581, India5
National Research University Higher School of Economics, Moscow, Russia5
University of Tübingen, Germany5
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 212185
San Diego State University, San Diego, CA, USA5
Universidade Nova de Lisboa, Caparica, Portugal5
TU Darmstadt5
Information Engineering College, Henan University of Science and Technology, Luoyang, China5
LAAS-CNRS, Toulouse, France5
Department of Computer Science, Universidade Federal de Minas Gerais, Brazil5
Zhejiang University & Alibaba Group, Hangzhou, China5
School of Computer Science & Engineering Northeastern University(NEU), Shenyang, China5
Ghent University, Belgium5
GSCM-LRIT, Faculty of Sciences, Mohammed V University, PO.Box 1014, Rabat, Morocco5
School of Computer Science, Beijing Institute of Technology, Beijing 100081, P.R. China5
Department of Computer Engineering, Karadeniz Technical University, Trabzon, Turkey5
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia5
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, HR-10000 Zagreb, Croatia5
The Pennsylvania State University, University Park, PA, USA5
IIIT Hyderabad, India5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Japan5
Institut für Informationsverarbeitung, Gottfried Wilhelm Leibniz Universität Hannover, Hannover, Germany5
Intelligent Systems Lab (LSI) from Universidad Carlos III de Madrid, Leganés, Spain5
Technicolor, 975 Avenue des Champs Blancs, Cesson-Sevigne, 35576, France4
Complutense University, Madrid, Spain4
Dept. of Computing, Curtin University GPO Box U1987, Perth, WA 68454
Department of Electronics and Communication Engineering, Hanyang University (ERICA Campus), South Korea4
Department of Computer Science & Engineering, Department of Electronics Engineering, Indian Institute of Technology (B.H.U.), Varanasi-221005, India4
School of EE, KAIST, Yuseong-gu, Daejeon, Republic of Korea4
Robotics Research Center, Kohli Center on Intelligent Systems, IIIT Hyderabad, India4
University of Chinese Academy of Sciences & CAS, Beijing, China4
School of Computing, Informatics & Media, University of Bradford, Bradford City, UK4
Johannes Bach, Jacob Langner, Stefan Otten and Eric Sax are with FZI Research Center for Information Technology, 76131 Karlsruhe, Germany4
Corporate Research & Development, Toshiba Corporation, Japan4
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications No 10, Xitucheng Road, Haidian District, Beijing, China, 1008764
Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, LANZHOU JIAOTONG UNIVERSITY, Lanzhou, Gansu Province, China4
Cognition Technology Research Team, Electronics and Telecommunications Research Institute, Daejeon, 305-700, Republic of Korea4
Institute of Microelectronic Systems, Leibniz Universität Hannover, Appelstr. 4, 30167 Hannover, Germany4
University of Udine, Via Delle Scienze, Udine, Italy4
School of Computer Science and Information Technology, Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, 130117, China4
Department of Telecommunication, Brno University of Technology, Czech Republic4
École de technologie supérieure (ÉTS) Montreal, Canada4
College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, China4
Department of Computer Engineering, K J Somaiya COE4
LITIS laboratory, INSA of ROUEN - University of Rouen, France4
Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic4
Department of Information Technology4
North China Electric Power University Department of Electronic and Communication Engineering Baoding, Hebei, China4
Federal University of Piauí, Teresina, Brazil4
Rey Juan Carlos University, C. Tulipán, S/N, Móstoles, Madrid, Spain, 289334
POLCOMING, University of Sassari Viale Mancini 5-07100 Sassari - Italy4
Technische Hochschule Ingolstadt, Institute for Applied Research (IAF) Esplanade 10, 85049 Ingolstadt4
Image and Video Laboratory, Queensland University of Technology (QUT), Brisbane, Australia4
Robotics and Artificial Intelligence Lab, Indian Institute of Information Technology, Allahabad, 211012 (U.P), India4
Universitas Indonesia, Depok, Indonesia4
Department of Electronics, Computer Sciences and Systems, University of Bologna, Cesena, Italy4
Intelligent Cognitive Tech. Research Dept., ETRI, Daejeon, Korea4
HumanTech Institute, University of Applied Sciences, Fribourg, Switzerland4
State Grid Shanxi Electric Power Research Institute, Taiyuan, 030001, China4
CEA LIST, Vision and Content Engineering Lab, Point Courrier 94, Gif-sur-Yvette, F-91191 France4
Laboratory of Autonomous Robotics, Department of Electrical & Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel4
Computer Vision Lab, Inha University, Inha-ro 100, Nam-gu, Incheon, South Korea4
Computer Engineering Department, Polytechnic School, University of Alcal á, Madrid, Spain4
Haerbin Institue of Technology, Harbin, China4
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA4
Faculty of Computing and Information Technology, Tunku Abdul Rahman University College, Setapak, Malaysia4
Department of Computer Science & Information Technology, University of Malakand, Khyber Pakhtunkhwa, Pakistan4
Shanghai University School of Communication and Information Engineering Shanghai, China4
Chair of Production Engineering of E-Mobility Components of RWTH Aachen University, 52074 Aachen, Germany4
Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, 09123, Italy4
Advanced Technical Center - Israel, General Motors R&D, Hamada 7 Herzlyia, Israel4
Department of Information and Electronics, Graduate School of Engineering, Tottori University4
Department of Mathematics and Computer Science University of Basel4
School of Communication Engineering and the Kangni Mechanical and Electrical Institute, Nanjing Institute of Technology, Nanjing, China4
IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal4
LITIS laboratory4
Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, USA4
Instituto Superior Tecnico , Lisbon, Portugal4
Sch. of Comput., Singapore Nat. Univ., Singapore4
SATIE, Université Paris-Sud, ENS Cachan, CNRS, Université Paris-Saclay, 91405, Orsay, France4
Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, New York University Abu Dhabi, UAE4
Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386324
Guangdong Province Key Laboratory of Computational Science, School of Mathematics and Computational Science, Sun Yatsen University, Guangzhou, China4
Leibniz Universität, Hannover, Germany4
School of Computer Science and Engineering, Wuhan institute of Technology, Wuhan, China, 4300734
Wuhan Zhongyuan Huadian Science & Technology Co., Ltd., Wuhan, China4
Centre de Visió per Computador Universitat Autònoma de Barcelona4
LIMIARF, Faculty of Sciences, Mohammed V University in Rabat, Morocco4
Artificial Intelligence Institute, Zhejiang University Hangzhou, China4
School of Aeronautics and Astronautics in Shanghai Jiao Tong university, Shanghai, China4
College of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China4
Université Paris-Sud, Institut d'Electronique Fondamentale, UMR8622, Orsay, F-91405, CNRS, Orsay, F-914054
IT Department, Mutah University, Karak, Jordan, 617104
Nanjing University of Posts and Telecommunications, 210046, China4
Center for Electrical Engineering and Informatics, Federal University of Campina Grande, Paraíiba, Brazil4
Mitsubishi Electric Research Laboratories (MERL), 201 Broadway, Cambridge, MA 02139, USA4
Sensors & Electron Devices Directorate, Army Research Laboratory, Adelphi, MD, USA4
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Guayaquil, Ecuador4
Graduate School of Engineering, Mie University4
School of Computer Science and Technology& Provincial key Laboratory for Computer information processing technology Soochow University Suzhou 215006, Jiangsu, China4
Grupo de Tratamiento de Imágenes, Information Processing and Telecommunications Center (IPTC) and ETSI Telecomunicacioìn, Universidad Politécnica de Madrid, Madrid, Spain4
Universitat Politécnica de Catalunya, BARCELONATECH Image and Video Processing Group, C. Jordi Girona 31, Barcelona, 08034, Spain4
Beijing Key Lab of Intelligent Telecomm. Software and Multimedia, Beijing University of Posts and Telecomm., Beijing, China4
School of Automation and Information Engineering, Xi'an University of Technology, Xi'an, China4
Boğaziçi University, Bebek, Istanbul, Turkey4
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi, China4
Pattern Analysis and Computer Vision Department (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy4
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, Michigan 48128, USA4
Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt4
Dept. of Telecommunications and Multimedia, University of Zilina, Univerzitna 1, 010 26 Zilina4
Faculty of Mathematics and Statistics, and Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, China4
Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan4
Honda Research Institute, 375 Ravendale Dr, Suite B, Ravendale, CA, 94043, USA4
Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands4
Beijing, Haidian, China4
Department of Industrial Engineering and Management, Faculty of Technical Sciences, Novi Sad, Serbia4
School of Electronics, Electrical and Communication Engineering University of Chinese Academy of Sciences, Beijing, China4
The Electronic Engineering Department, Sogang University, Seoul, Korea4
Pennsylvania State University, University Park, PA, USA4
Streaming Lab, Shen Zhen Instituted of Information Technology4
Dept. Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran4
Department of Electrical and Information Engineering, Covenant University, Ota Ogun State, Nigeria4
Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China4
LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061071, Romania4
U&P U. Patel Department of Computer Engineering, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India4
Institute of Computer Science and Technology, Beijing, China4
Dept. of Comput. Sci. & Eng., Notre Dame Univ., USA4
Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Gliwice, Poland4
NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan4
Department of Computer Science & Technology, Nanjing University of Science & Technology, Nanjing 210094. E-MAIL: laterfall2@yahoo.com.cn4
Human Identification Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea4
Beijing Key Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China4
Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, 02881, USA4
Nippon Telegraph and Telephone Corporation, Kanagawa, Japan4
Multimedia Communications Laboratory, University of Information Technology VNU-HCM, Ho Chi Minh City Vietnam4
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway4
Xerox Research Centre Europe, FRANCE4
Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Brazil4
imec-IPI-Ghent University, Sint-Pietersnieuwstraat 41, 9000 Gent, Belgium4
DRIVE EA 1859 Laboratory, Univ. Bourgogne Franche Comté, F58000, Nevers, France4
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA4
NVIDIA, Santa Clara, CA4
Willow Garage Inc., Menlo Park, CA, USA.4
Facultad de Ingeniería, Universidad Panamericana, Aguascalientes, Mexico4
Chair of Media Technology, TUM, Munich, Germany4
Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Genova, Italy4
Corporate Research & Development Center, TOSHIBA Corporation, Japan4
Information Research Institute of Shandong Academy of Sciences, Jinan, China4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology4
School of Communication and Information Engineering, BUPT, Beijing, China4
Technical University of Catalonia (UPC), Department of Signal Theory and Communications, Spain4
Technical University of Berlin (TUB), Communication Systems Group, Germany4
TU Darmstadt, Germany4
School of Information and Communication Engineering, Dailian University of Technology, Dalian, China4
State Key Laboratory of Industrial Control Technology, Zhejiang University No. 38 Zheda Road, Hangzhou, China, 3100274
Complex System Control Theory and Application Key Laboratory School of Electrical and Electronic Engineering, Tianjin University of Technology (TJUT), Tianjin, 300384, China4
National Key Laboratory of Aerospace Intelligent Control Technology, Beijing 100854, P.R. China4
Radboud University, Nijmegen, HR, The Netherlands4
Electronics and Telecommunications Research Institute, Daegu-Gyeongbuk Research Center, Republic of Korea4
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India4
Center for Computer Vision and Department of Mathematics, SunYat-Sen (Zhongshan) University, Guangzhou 510275, China4
Visual Sensorics & Information Processing Lab, Goethe University Frankfurt am Main, Germany4
DII, Università degli Studi di Siena, Via Roma, 56 - 53100 (Italy)4
CSIR-Central Scientific Instruments Organisation, Chandigarh, India4
School of Computer Science and Technology, University of South China, Hunan, China4
Center for Future Media & School of Computer Science and Engineering University of Electronic Science and Technology of China, China4
Institute for Systems and Robotics / IST, Technical University of Lisbon, Portugal4
GRAM, Dept. of Signal Theory and Communications, University of Alcalá, Alcalá de Henares, Spain4
Dept of Computer Engineering, MIT College of Engineering4
Electronic, and Communication Engineering, Chuo University, Department of Electrical, Tokyo,Japan4
Department of Electrical and Computer Engineering, Beckman Institute Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA4
Tsinghua National Laboratory for Information Science and Technology, Tsinghua Uinversity, Department of Electronic Engineering, Beijing 100084, China4
Face Recognition and Artificial Vision Group - Universidad Rey Juan Carlos, C/ Tulipán, s/n - Móstoles - 28933 - Spain4
School of Computer Science & Engineering, Xi'an University of Technology, China4
Dept of computer science International Islamic University Malaysia (IIUM) Kuala Lumpur, Malaysia4
Department of Medical Biophysics, University of Western Ontario, London, ON, Canada4
School of Information Renmin University of China, Beijing, China4
chool of Electrical Engineering, KAIST, Daejeon, 305-701, Korea4
Department of Computer Science, Tamaki Campus, The University of Auckland, 1142, New Zealand4
Youngstown State University, USA4
School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China, 4300734
Ist. di Studi sui Sistemi Intelligent per l'Automazione, CNR, Bari, Italy4
University of Mannheim, Mannheim, Germany4
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang, University, Beijing 100191, China4
Graduate School of Engineering, Mie University, Tsu, Mie, Japan4
School of Computer Science and Engineering, Xi'an University of Technology, China4
Department of Computer Science, Western University, London, ON, N6A 5B7, Canada4
Fakulta riadenia a informatiky, Žilinská Univerzita v Žiline, Žilina, 01026, Slovakia4
Contents Protection and Management Team, ETRI, Deajeon, KOREA4
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, United Kingdom4
Daegu Gyeongbuk Institute of Science & Technology, Daegu, Republic of Korea4
Dipt. di Matematica ed Inf., Univ. degli studi di Salerno, Italy4
Universidad Rey Juan Carlos, Spain4
Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab, 98684, Germany4
Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, India4
Computer Science and Engineering Dept., University of Nevada Reno, USA4
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105204
Norwegian Biometrics Laboratory, NTNU, 2802 Gj⊘vik, Norway4
Dept. of Computer Science and Engineering, National Institute of Technology, Durgapur, India4
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran4
People's Public Security University of China, School of Information technology and Network Security, Bejing, China4
Lab-STICC, Université de Bretagne Occidentale and Université de Bretagne Sud, France4
Dept. Computer Science, Montana State University, Bozeman, MT 59717, USA4
Department of Computer Science - University of Brasilia - Brazil4
National University of Defense Technology (NUDT), Changsha, China4
Faculty of Engineering, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany, Germany4
SIANI - Universidad de Las Palmas de Gran Canaria, Spain4
University of Alcalá, Alcalá de Henares, Spain4
Université de Nantes, France, Nantes, France4
Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan4
Guangzhou, China4
Department of Computer Graphics and Multimedia, University of Brno, Brno, Czech Republic4
Nara Institute of Science and Technology4
Department of Technology, Pompeu Fabra University, Barcelona, Spain4
IP-based Communication Laboratory4
Department of Computers and Informatics, Košice, Slovakia4
School of Computing, The University of Southern Mississippi, Hattiesburg, MS, USA4
ECE, VIT University, VIT, Chennai, India4
Norwegian University of Science and Technology, Trondheim, Norway4
Computer Engineering Department, Universidad de Alcala de Henares, Madrid, Madrid, Spain4
Dept of Electronics and Communication, Manipal Institute Of Technology, Karnataka, India4
Shenzhen Academy of Robotics, Shenzhen, Guangdong, China4
Object Video, Inc. 11600 Sunrise Valley Drive, Suite 290, Reston VA 20191, USA4
Department of Biophysics and Electronics Engineering (DIBE), University of Genoa, Italy4
Umm al Qura University, Makkah, Saudi Arabia4
National ICT Australia, Sydney, Australia4
INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France4
Faculty of Information Technology, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia4
Institute of Computing - University of Campinas - Campinas, Brazil4
Green IT Service Research Team, Honam Research Center, Electronics and Telecommunications Research Institute, Gwangju, South Korea4
Computer Engineering Department, Galatasaray University, Istanbul, 4349, Turkey4
University of of Modena and Reggio Emilia4
Department of Mechano-Informatics. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan4
Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea4
Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, 41125, Italy4
Department of Automation, Tsinghua University; State Key Lab of Intelligent Technologies and Systems; and Tsinghua National Laboratory for Information Science and Technology, Beijing, China4
School of Electric Information and Electronic Engineering, Shanghai Jiaotong University4
Visteon Corporation, Karlsruhe, Germany4
Center for Imaging Media Research, Robot & Media Institute, KIST, Seoul, Korea4
Multimedia Department, Faculty of Computer Science & IT, University Putra Malaysia, Serdang, 43300, Malaysia4
AI Department, Ant Financial Services Group, Hangzhou, China4
Institute of Smart City Shanghai University, School of Communication and Information Engineering, Shanghai, China4
Le2i, FRE CNRS 2005, Arts et Métiers, Université Bourgogne Franche-Comté, France4
Information Science and Technology College, Dalian Maritime University, Dalian 116026, China4
Air Force Engineering University, Xi'an, China4
Department of Information Technology, UITRGPV, BHOPAL, India4
Institute for Human-Machine Communication, Technische Universität München, Germany4
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, China4
School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, United Kingdom4
Department Moving Picture Technologies, Fraunhofer IIS, Erlangen, Germany4
Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain4
CC Innovation in Intelligent Multimedia Sensor Networks, Lucerne University of Applied Sciences and Arts (HSLU), Lucerne, Switzerland4
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, Türkiye4
Istituto Italiano di Tecnologia (IIT), Pattern Analysis and Computer Vision (PAVIS), Via Morego 30, 16136 Genova, Italy4
College of Information Engineering, North China University of Technology, Beijing, China4
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Korea4
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ., China, Wuhan, China4
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, 133-791, Korea4
Federal University of Rio de Janeiro - COPPE - Electrical Engineering Program, Rio de Janeiro, Brazil4
Robotics and Computer Vision Labortory, Dep. of EE, KAIST, Daejeon, 34141, Korea4
Department of Computer Science, Vision, Image Processing and Sound Laboratory, University of Verona, Verona, Italy4
Computer Vision Centre Barcelona, Barcelona, Spain4
College of Command Information Systems, PLA University of Science & Technology, Nanjing, China4
NICTA, PO Box 6020, St Lucia, QLD 4067, Australia The University of Queensland, School of ITEE, QLD 4072, Australia4
Inha University, South Korea4
Institute for Technological Development and Innovation in Communications (IDeTIC), Signals and Communications Department, University of Las Palmas de Gran Canaria Las, Palmas de Gran Canaria, Spain4
Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China4
CSIR-Central Scientific Instruments Organisation, Chandigarh, 1600304
Facultad de Ingenieria, Universidad Panamericana, Aguascalientes, Mexico4
Scientific Research Institute of Multiprocessor Computer Systems, Southern Federal University, Taganrog, Russia4
Department of Computer Science University of Rochester, NY 14627, USA4
Mathematic and Application Laboratory, FSTT, Tangier, Morocco4
NTT Software Innovation Center, Tokyo, Japan4
Universiti Sains Malaysia, Penang, Malaysia4
School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, China4
M S Ramaiah University of Applied Sciences, Bangalore, India4
Environment Perception Group, Daimler AG Group Research & Advanced Engineering, 71059 Sindelfingen, Germany4
Universitat Politècnica de València, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain4
École Polytechnique de Montréal, Montréal, QC, Canada4
University of Bologna4
The University of Dayton, Dayton, OH 45469, USA4
School of Electronic and Computer Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China4
National Digital Switching System Engineering Technology Research Center, Zhengzhou City, 450000, China4
Departments of Computer Science, Youngstown State University, Youngstown, OH 44555, USA4
Road Environment Recognition Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan4
Institute of Computer Science, Foundation for Research & Technology - Hellas, Heraklion, Crete, Greece4
Faculty of Engineering Science, Department of Systems Innovation, Arai Laboratory at Osaka University, Japan4
University of Biskra, Biskra, Algeria4
School of Statistics, Capital University of Economics and Business, Beijing, China4
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, Tsinghua University Beijing 100084, China4
Department of Automatic Control Northwestern Polytechnical University Xi'an 710072, China4
JOL WAVE Telecom Italia, Catania, Italy4
Department of Psychology, Università della Campania, “Luigi Vanvitelli”, and IIASS, Caserta, Italy4
Department of Electrical Engineering, IIT Madras, Chennai, India4
Dept. of Electron., Alcala Univ., Madrid, Spain4
Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan4
The Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania4
Digital Optics Corporation, Bucharest, Romania4
School of Computing, University of Southern Mississippi, Hattiesburg, 39406, USA4
Université de CaenBasse-Normandie, UMR 6072 GREYC, F-14032 Caen, France4
Le2i EA, Université de Bourgogne Franche-Comté, Dijon, FRANCE4
Institute of Networked and Embedded Systems and Lakeside Labs, Alpen-Adria-Universität Lakeside Park B02b, 9020 Klagenfurt, Austria4
Cognitive Systems Group, SFB/TR 8 Spatial Cognition, University of Bremen4
ChaLearn, California, USA4
Image Processing and Analysis Laboratory, LAPI, University “Politehnica” of Bucharest, Romania4
EPFL, Lausanne4
Technische Universitat Muenchen, Garching bie Muenchen4
Media Recognition Laboratory, KDDI Research, Inc., Saitama, Japan4
Key Laboratory of Work Safety Intelligent Monitoring, EE, BUPT, Beijing, P.R. China4
Institute of Mathematics and Statistics, University of São Paulo, Brazil4
Queen's University Belfast, Belfast4
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98694, Germany4
College of Computer Science and TechnologyZhejiang University4
CVLab, EPFL, Lausanne, Switzerland4
University College Dublin, Dublin, Ireland4
Politecnico di Torino, DAUIN, Italy4
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Vietnam4
Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon4
Grupo de Tratamiento de Imágenes, UPM, Madrid, Spain4
ICT-ISVISION Joint R&D Lab. for Face Recognition, Beijing, China4
University of Otago, Dunedin, New Zealand4
AGT International, Darmstadt, Germany4
Department of Radio Electronics, SIX Research Center, Brno University of Technology (BUT), Czech Republic4
Department of Electrical Engineering, University of Science and Technology, Tehran, Iran4
Department of Electrical and Computer Engineering, Air University, Islamabad, Pakistan4
Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA4
Biometric Recognition Group - ATVS, Escuela Politecnica Superior - Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 - Campus de Cantoblanco - 28049, Spain4
Computer Vision Group, Friedrich Schiller University of Jena, Germany4
School of Electrical Engineering and Informatics, Institut Teknologi Bandung4
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA4
School of Information Science and Engineering, Central South University, Changsha, China4
Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 145804
Ubiquitous Interactive Systems Group, LMU Munich, Munich, Bavaria, Germany4
Department of Electrical and Computer Engineering, University of Auckland4
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece4
Idiap Research Institute - CH-1920, Martigny, Switzerland4
Dept. of Inf. Technol., Turku Univ., Finland4
University of Tunis, The National Higher school of engineers of Tunis (ENSIT), Laboratory of Signal Image and Energy Mastery, LR13ES03 (SIME), Tunis, Tunisia4
Heilongjiang University, Harbin, China4
Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany4
Dept. of Computer Engineering, Keimyung University, Daegu, Korea4
Department of Electronics Engineering, Visvesvaraya National Institute of Technology, Nagpur, India4
College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou, China4
Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany4
EECS Department, University of Kansas, Lawrence, KS4
Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China4
Institute of Electrical Control Engineering, National Chiao Tung University 1001 University Road, Hsinchu, Taiwan4
The Institute of Electronics, Communications and Information Technology (ECIT), Queens University Belfast, UK4
Multimedia Signal Processing Group - MMSPG, Institute of Electrical Engineering - IEL, Ecole Polytechnique Fédérale de Lausanne - EPFL, CH-1015, Switzerland4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy4
School of Automation, China University of Geosciences, Wuhan, 430074, China4
School of Mechatronic Engineering, UniMAP, Malaysia4
LRTT, Unit Associe au CNRST (URAC 29), Faculty of Sciences, Mohammed V University-Agdal, Rabat, Morocco4
Department of Computer Science, The University of North Carolina at Chapel Hill, USA4
Beijing Normal Univeristy, Beijing, China4
Technische Universität Berlin, Germany4
Image Processing and Analysis Laboratory (LAPI), University “Politehnica” of Bucharest, Romania4
“Gheorghe Asachi” Technical University, Iaşi, Romania4
Mechanical & Nuclear Engineering Department, Pennsylvania State University, University Park, 16802, USA4
School of Mathematics and Physics, Anhui Jianzhu University, Hefei, China4
College of Information Science and Technology Beijing Normal University, Beijing, China4
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Pulau Pinang, Malaysia4
University of São Paulo, São Carlos, Brazil4
Institute for Neural Computation, University of Bochum, Germany4
Institute for Computer Research (University of Alicante).4
Yunnan Normal University, College of Information Science, Kunming, China4
Florida Atlantic University, I-SENSE4
Department of Electronic Engineering, the Chinese University of Hong KongHong Kong4
Harbin Institute of Technology Shenzhen Graduate School, China4
LIARA Laboratory, University of Quebec at Chicoutimi (UQAC), Boulevard de l'Université, Chicoutimi (Quebec), Canada4
Virginia Tech4
Philips Research, Eindhoven, Netherlands4
Center for Research in Intelligent Systems, University of California Riverside, 92521, US4
Department of Electronic Measuring systems, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russia4
School of Computer Science and Software Engineering, The University of Western Australia 35 Stirling Highway, Crawley 6009, Western Australia, Australia4
Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia4
ECE Dept. and Digital Tech. Center, Univ. of Minnesota, Mpls, MN, 55455, USA4
KULeuven, Leuven, Belgium4
Control Methods & Robotics Lab, TU Darmstadt, Germany4
National University of Defense Technology University, College of Intelligent Science, Changsha, China4
Department of Microelectronics and Computer Science, Lodz University of Technology, Lodz, Poland4
SPS-VCA, TU/e, 5600 MB Eindhoven, the Netherlands4
NPU-VUB Joint AVSP Research Lab, School of Computer Science, Northwestern Polytechnical, University (NPU) Shaanxi Key Lab on Speech and Image Information Processing 127 Youyi Xilu, Xi’an, 710072, China4
School of Information Science & Engineering, Lanzhou University4
IMAGO Research Group - Universidade Federal do Paraná, P.O. Box 19092, 81531-980, Curitiba - PR, Brasil4
School of Electrical and Computer Engineering, University of Seoul, Seoul, Korea4
Laboratoire d'Informatique de Traitement de l'information et des Systemes(LITIS) Avenue de l'Universite-BP08, 76801, Saint-Etienne du Rouvray, France4
Computer Science & Software Engineering The University of Western Australia 35 Stirling Highway, Crawley, WA, Australia4
Vicarious Perception Technologies, Amsterdam, The Netherlands4
School of Automation, Huazhong Univ. of Sci. & Tech., Wuhan, China4
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China4
Department of Computer Science and Engineering, University of California, San Diego, USA4
Dept of ECE, Bannari Amman Inst of Technology, Sathyamangalam, Erode, India4
Universiti Kuala Lumpur, Kuala Lumpur4
Institute for Computer Graphics and Vision, TU Graz, Austria4
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand4
BIWI, ETH Zurich4
PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory, Department of Electrical Engineering, School of Engineering and Cancer-Lab, Tropical Diseases Research Centre (CIET), Universidad de Costa Rica, San José, Costa Rica4
Yahoo Research, San Francisco, CA, USA4
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Malaysia4
Università degli Studi dell'Insubria, Varese, Italy4
School of Electrical and Electronic Engineering and ST Engineering - NTU Corporate Lab, Nanyang Technological University Singapore4
School of Computer Science University of Hertfordshire United Kingdom4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Slovak Republic4
Army Research Laboratory, Computational and Information Sciences Directorate4
German Research Center for Artificial Intelligence, Kaiserslautern, Germany4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, Peoples Republic of China4
Department of Information and Control, B-DAT Laboratory, Nanjing University of Information and Technology, Nanjing, China4
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany4
School of Computer Science and Engineering University of Electronic Science and Technology of China, Chengdu, Sichuan, China4
School of Mechatronic Engineering, UniMAP, Perlis, Malaysia4
ISTI-CNR, Via G.Moruzzi, Italy4
Department of Electronics and Communication, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram, India4
Department of Geography Information Science, School of Geography Science4
Instituto Universitario SIANI, Universidad de Las Palmas de Gran Canaria - Spain4
National Robotics Engineering Center, Carnegie Mellon University Robotics Institute, Pittsburgh, Pennsylvania 152014
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812, 19 Bratislava, Slovakia4
University of São Paulo, São Paulo, Brazil4
Department of Computer Science, University of Verona, Italy4
The City College, City University of New York, New York, NY, USA4
School of Data Science and Software Engineering, Qing Dao University, Qingdao, China4
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea4
Université de Bourgogne, Le2i UMR 5158 CNRS, 12 rue de la fonderie, 71200 Le Creusot, France4
Smart Surveillance Interest Group, Department of Computer Science, Universidade Federal de Minas Gerais, Minas Gerais, Brazil4
CEA LIST, Gif-sur-Yvette, France4
University of California, Riverside, CA-92521, USA4
Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France4
School of Information Engineering, University of Science and Technology Beijing, Beijing, China4
School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan 250022, China4
Institute of Control Engineering of Tool Machines and Manufacturing Units (ISW), University Stuttgart, 70174, Germany4
Nankai University, Tianjin, China4
School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK4
Institute of Information on Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China4
Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany4
Department of Computer Science, University of Northern British, Columbia Prince George, BC, Canada4
Faculty of Engineering, Ain Shams University, Computer and Systems Engineering Department, Cairo, Egypt4
RBCS Department of the Fondazione Istituto Italiano di Tecnologia, Genoa, 16163, Italy4
VisionLab - Computer Vision Laboratory4
Goa University, India4
Faculty of Engieering and Computer Science, The University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia4
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Brazil4
College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China4
Mathematical Modelling Research Group, Universidad EAFIT, Colombia4
University of Sassari, Computer Vision Laboratory, Porto Conte Ricerche, Tramariglio, Alghero, Italy4
University of Kaiserslautern, Kaiserslautern, Germany4
Bilgisayar Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye4
Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan4
Image and Video Systems Lab, School of Electrical Engineering, KAIST, South Korea4
MBRDNA, Sunnyvale, USA4
Faculty of Engineering, Shinshu University, Japan4
Department of Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania4
Computer Science and Engineering, Pennsylvania State University, PA, USA SiliconScapes, LLC, PA, USA4
Department of Engineering and Technology, Kimmel School, Western Carolina University, Cullowhee, NC 28723 U.S.A.4
CEA, LIST, Vision & Content Engineering Laboratory, Gif-sur-Yvettes, France4
INRIA, Sophia Antipolis, France4
Faculty of Computer Science, University of Freiburg, Freiburg, Germany4
Stanford University in the Computer Science department4
Department of Electronics, University of Alcalá, Alcalá de Henares, SPAIN4
Media Integration and Communication Center - University of Florence, Italy4
Department of Computer Engineering, Maharashtra Institute of Technology, Pune, India4
Dept. name of organization Electronics and Telecommunications Research Institute Daejeon, South Korea4
Auckland University of Technology, Auckland 1010 New Zealand4
School of Computer, National University of Defense Technology Changsha, China, 4100734
Information System Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt4
Graduate School of Informatics, Kyoto University Yoshida-Honmachi, Sakyo Ward, Kyoto 606-8501, Japan4
School of Physics and Electronic Information, Huaibei Normal University, Huaibei 235000, China4
Department of Environment Perception, Daimler AG, Böblingen, Germany4
Department of Transportation Engineering, Beijing Institute of Technology, 100081, China4
VISILAB Group, E. T. S. I. Industriales, University of Castilla–La Mancha, Ciudad Real, Spain4
Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology, Beijing 100081, P. R. China4
Institute for Human-Machine Communication, Technische Univeritat Munchen, Arcisstr. 3, 80333, Germany4
Faculty of Computer Science, Universitas Indonesia, Indonesia4
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Japan4
Universidad de Vigo, Vigo4
Department of Electronics, Escuela Politécnica Superior, University of Alcala, Alcalá de Henares, Madrid, Spain4
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA4
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, P.R. China4
Zenith Team, INRIA, LIRMM, Montpellier, France4
Graduate Course in Computer Science, Pontifical Catholic University of Rio Grande do Sul, Brazil4
Computer Vision & Image Processing Laboratory (CVIP), Univ. of Louisville, KY, 40292, USA4
Open University of Catalonia, Barcelona, Spain4
NICTA and Australian National University4
Center for Reasearch on Intelligent Perception and Computing, CASIA, China4
Hewlett Packard Labs4
University of Utah4
School of Computer Science, China University of Geosciences, Wuhan, China4
Department of Computer Science & Engineering, Delhi Technological University, New Delhi, India4
Advanced Data Management Research Group, Siemens Corporate Research and Technologies Siemens Technology and Services Pvt. Ltd., Bengaluru, India4
Advanced Digital Sciences Center, Singapore, Singapore4
Johns Hopkins University, Baltimore, USA4
Department of Computer Vision and Image Understanding, Institute for Infocomm Research, 1 Fusionpolis Way, #21-01 Connexis, Singapore 1386324
Center for Machine Vision and Signal Analysis (CMVS), Oulu, Finland4
National ICT Australia and UNSW, Sydney, Australia4
Machine Intelligence and Robotics Research Group, School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, 6681, Porto Alegre, RS, 90619-900, Brazil4
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, korea4
Department of Computer Science and Technology, Tsinghua Lab of Brain and Intelligence Beijing National Research Center for Information Science and Technology, BNRist Lab Tsinghua University, 100084, China4
School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, U.K.4
Information Technologies Institute - Centre for Research & Technology Hellas, Thessaloniki, Greece4
Université Européenne de Bretagne, France, INSA de Rennes, IETR, UMR 6164, F-357084
Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, School of Automation Huazhong University of Science and Technology, Wuhan, 430074, China4
RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil4
School of Information and Engineering, Minzu University of China, Beijing 100081, China4
School of Automation, China University of Geosciences, Wuhan, 430074, P. R. China4
Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France4
Institute for Infocomm Research, Singapore, Singapore4
Indian Institute of Information Technology Chittoor, Sri City, A.P., India4
Communication Networks Institute (CNI) Dortmund University of Technology, Germany4
School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India4
SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, France4
Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Karachi, Pakistan4
School of Electrical Engineering, KAIST, Daejeon, South Korea4
Sabancı Üniversitesi, Turkey4
University of Colorado Boulder, Boulder, CO, USA4
Division Architecture des Systmes et Multimedia, Centre de Developpement des Technologies Avancees, CDTA, Algeria4
Media Integration and Communication Center - University of Florence4
Hampshire, United Kingdom4
Austrian Institute of Technology, Donau-City-Straße 1, Vienna, Austria4
Technical University of Cluj-Napoca4
IMAGO Research Group, Universidade Federal do Paraná, Curitiba-PR, Brazil4
Leiden University, Leiden, Netherlands4
TNO, The Hague, Netherlands4
College of Communications Engineering, PLA University, of Science and Technology, Nanjing, China4
Department of Computer Science, Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal4
HMI Lab, VNU Hanoi University of Engineering and Technology, Hanoi, Vietnam4
School of Software, Beijing Institute of Technology, Beijing, China4
Visual Computing Group, Microsoft Research Asia, Beijing, China4
School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University4
Audio-Visual Information Processing Laboratory (VIPLAB), Graduate Program in Informatics - Computer Science Department, Pontifical Catholic University of Minas Gerais (PUC Minas)3
Electronics Department, University of Alcalá (UAH), Alcalá de Henares, Spain3
Department of computer and communications engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia3
Innovation Lab, Tata Consultancy Services, New Delhi, India 2013013
German–Turkish Advanced Research Centre for Information and Communication Technology, Berlin, Germany3
Jiangsu Province Key Laboratory on Image Processing and Image Communications, Nanjing University of Posts and Telecommunications, Nanjing, China3
Intel Corporation, Hillsboro, OR, USA3
CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France3
Universidade Nova Lisboa, Monte de Caparica, Portugal3
Politecnico di Torino, DAUIN, Torino, Italy3
Technische Universität München, Germany3
Signals and Images Laboratory, University of USTOMB, Oran, Algeria3
Institute of Automation, Chinese Academy of Science, 95 Zhongguancun East Road, 100190 Beijing, China3
ModiFace Inc., Toronto, Canada3
Department of Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Intel Corporation, Bangalore, India3
Intel Corporation, Nice, France3
MIT, USA3
Valeo.3
Departamento de Ingeniería Informática, University of La Laguna, Santa Cruz de Tenerife, Spain3
Department of Informatics, Technische Universität München, München, Germany3
Universidade Nova Lisboa, Lisboa, Portugal3
Graduate School of Electrical Engineering, University of Ulsan, Korea 680-7493
New York University Abu Dhabi & NYU Tandon School of Engineering, Abu Dhabi, Uae3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), Beijing, China3
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ 08540, USA3
Intelligent Vision Research Lab, Department of Computer Science, Federal University of Bahia3
Università di Firenze - Italy3
Vision for Robotics Lab, ETH Zurich, Switzerland3
Department of Media Technology, Linnaeus University, Vaxjo, Sweden3
Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam3
PLA University of Science and Technology Nan Jing, China3
Microsoft Research Cambridge3
DISCo, Universita degli Studi di Milano Bicocca, Milano, Italy3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, 44227 Dortmund, Germany3
Computer Science Department, Sanghvi Inst. of Mgmt. & Science, Indore, India3
Honda Research Institute Europe, Offenbach, Germany3
Data Mining and Text Mining Lab, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamilnadu, India3
Electronics and Communication Department, National Institute of Technology, Rourkela, Odisha, 769008, India3
AEOP UNITE, Las Vegas, Nevada3
University of Nevada-Las Vegas, Las Vegas, Nevada3
Department of Information and Computer Science - University of Trento via Sommarive 5, 38123 Trento - Italy3
The Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette, LA, USA3
FZI Research Center for Information Technology, Mobile Perception Systems, Karlsruhe, 76131, Germany3
College of Automation, Nanjing University of Posts and Telecommunications, 210023, China3
CNRS, LAAS, 7 av du colonel Roche, F-31400 Toulouse, France3
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil3
Electrical Engineering Department, Faculty of Engineering - Port-Said, Suez Canal University, Port Fouad 42523, Egypt3
Wuhan Univeristy, Wuhan, China3
School of Computer Engineering, Nanyang Technologicial University, Singapore3
IPLAB, Department of Mathematics and Computer Science, University of Catania, Italy3
Laboratory of Computer Systems and Vision, Faculty of Science, Ibn Zohr University, Agadir-80000, Morocco3
School of Computer and Information of Hefei University of Technology, Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei, Anhui, China3
INRIA Sophia Antipolis - Méditerranée. 2004 Route des Lucioles - BP93, Sohpia Antipolis, 06902, France3
Life Sciences Division, Lawrence Berkeley National Laboratory, California, U.S.A.3
Department of Mechatronics Engineering and Automation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong Province, China3
Department of Civil and Environmental Engineering, KAIST, Daejeon, South Korea3
Visualization and Computer Vision Laboratory, General Electric Global Research Center, 1 Research Circle, Niskayuna, NY, 123093
Department of Computer Science, Georgia State University, P.O. Box 5060, Atlanta GA 30302-5060, USA3
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Tshwane, South Africa3
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA3
University of Central Lancashire, Preston, U.K.3
ComS2IP Group, School of Electrical and Electronic Engineering, University of Newcastle upon Tyne, NE1 7RU, UK3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast3
UCL Interaction Centre University, College London London, United Kingdom3
Mepco Schlenk Engineering College, Sivakasi, Virudhunagar, India3
Department of Systems and Computing, Federal University of Campina Grande, Av. Apríigio Veloso, 882, 58429-900 Campina Grande, PB, Brazil3
Université de Lyon, CNRS, Université Lumière Lyon 2, LIRIS, UMR5205, France3
Visual Geometry and Modelling (VGM) Lab, Istituto Italiano di Tecnologia, Genova, Italy3
Computer Vision Lab., INHA University, Incheon, Korea3
National Laboratory of Pattern Recognition, Institute of Automation, Academy of Sciences, Beijing, China3
Department of Computing, Faculty of sciences, Ibn Tofail University, Kenitra, Morocco3
Dept. Electrical Engineering and Computer Science, Niederrhein University of Applied Sciences, Krefeld, Germany3
Laboratory for Intelligent and Safe Automobiles (LISA), University of California, San Diego, USA3
Department of Automation, Transilvania University of Brasov, Romania 5000243
LI3C Laboratory, Department of Electrical Engineering, University of Biskra, BP 145 RP, 07000 Biskra., Algeria3
Algılayıcılar, Görüntü ve Sinyal İşleme Grubu, HAVELSAN A.Ş. Ankara, Türkiye3
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 6th Km Charilaou-Thermi Rd, Thessaloniki, Greece 570013
Informatics Institute University of Amsterdam, Amsterdam3
Key Laboratory of Modern Teaching Technology, Ministry of Education, Xian, China3
CogInfoCom Based LearnAbility Research Group, University of Dunaujvaros, Dunaujvaros, Hungary3
College of Information and Control Engineering, China University of Petroleum(East China), Qingdao, China3
Education and Cultural Studies (COSPECS) University of Messina, Dept. for Cognitive Sciences Psychology, Messina, Italy3
Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India3
Computer Vision Laboratory - ETH Zurich3
School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Buk-Gu, Taegu 702-701, Republic of Korea3
Dept. of Mediamatics, Delft Univ. of Technol., Netherlands3
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy3
1-1 Showa-cho, DENSO CORPORATION, Kariya, Aichi, 448-8661, Japan3
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, 730070, China3
Department of Computer Science, Xi'an Polytechnic University, China3
Bosch Corporate Research, Stuttgart, Germany3
Indian Institute of Technology Kharagpur, Kharagpur, India - 7213023
Department of Information Management, National Kaohsiung University of Science and Technology, Taiwan3
EPFL3
School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, Shaanxi Province, China3
School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University , Melbourne, Australia3
Social Robotics Lab, Department of Computer Science, University of Freiburg, Germany3
Dept. of Audio Visual Technology, Technische Universitt, Ilmenau, Germany3
Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China3
Faculty of Computer Science and Engineering, HCMC University of Technology, Ho Chi Minn, Vietnam3
Department of Computer Science and Engineering, Via Sacchi, 3 - 47521 Cesena (FC) - Italy3
LRIT-CNRST URAC 29, Mohammed V University In Rabat Faculty of Sciences Rabat, Morocco. B.P. 1014 Rabat, Morocco3
Department of Computer Science, Tomsk Polytechnic University (TPU), Tomsk, Russia3
Insitute of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany3
College of Computer Science, Inner Mongolia University, Hohhot, China3
Department of Electronic Engineering, School of Engineering, Sogang University, Seoul 04107, Korea3
Department of automation, USTC, Hefei, China3
RITS Project-Team, INRIA Paris, Paris, France3
Cognitive Science department of Xiamen University, China3
CERTH-ITI, Thermi-Thessaloniki, Greece3
NTT Media Intelligence Laboratories, Tokyo, Japan3
Dept. of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan3
Institute of Information Engineering, CAS, State Key Laboratory of Information Security, Beijing, China3
Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University, Australia3
AIT Austrian Institute of Technology, Vienna, Austria3
Advanced System Technology, STMicroelectronics, Agrate Brianza, Italy3
Morpho, Safran Group3
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, Brazil3
INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal3
Inst. of Electr. Measurement & Measurement Signal Process., Graz Univ. of Technol., Austria3
Department of Research & Development, Extol MSC Berhad, Kuala Lumpur, Malaysia3
Intel China Research Center, Beijing, P. R. China3
Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran3
School of Information and Communications, Gwangju Institute of Science and Technology, 61005, South Korea3
Computational Vision Group, Department of Computer Science, University of Reading, UK3
School of Automation, Beijing Institute of Technology, Beijing, 100081, China3
Vision and Content Engineering Laboratory, CEA LIST, Gif-sur-Yvette, France3
Jawaharlal Nehru University, New Delhi - India3
Information Security Research Division, Electronics and Telecommunications Research Institute, Daejeon, Korea3
School of Electrical Engineering and Computer Science, ASRI Seoul National University, Seoul, Korea3
INRIA Grenoble Rhone-Alpes, Grenoble, France3
School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China3
Ecole Centrale de Lyon, LIRIS, Lyon, France3
Centro Universitario de la Defensa (CUD) and Instituto de Investigación en Ingeniería de Aragón (I3A), Zaragoza, Spain3
Computer Vision Laboratory, School of Information and Communications, GIST, Republic of Korea3
Department of Electrical and Computer Engineering The University of Texas at Austin3
School of Electrical Engineering VIT University Vellore, India 6320143
United Technologies Research Center (UTRC), East Hartford, Connecticut, USA. now at Southern Illinois University, Carbondale, Illinois, USA3
Aragon Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain3
Inha University, Incheon, South Korea3
HIT Campus of University Town of Shenzhen, Shenzhen, China PC: 5180553
Department of Computer Science and Engineering, Government College of Engineering Aurangabad, Aurangabad, India3
School of Computer Science, Center for Optical Imagery Analysis and Learning (OPTIMAL)3
Department of Computer Engineering, Boğaziçi University, Bebek, ıstanbul, Turkey3
Vidyalankar Institute of Technology, Mumbai3
German Research Center for Artificial Intelligence, DFKI Bremen, Robotics Innovation Center, Robert-Hooke-Strae 1, D-28359, Germany3
University of Augsburg, Augsburg, Germany3
Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China3
Department of Computer Science and Engineering, National Institute of Technology Uttarakhand, Srinagar Garhwal, India3
Technical University of Iaşi, Faculty of Electrical Engineering3
Information Center of the General Administration of Quality Supervision Inspection and Quarantine of the People's Republic of China, Beijing, China3
IBM Research India3
Department of Computer Science and Engineering, DIU Human Computer Interaction Research Lab (HCI RL), Daffodil International University3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China3
Department of Computer Science and Engineering, Visual Learning and Intelligence Group, IIT Hyderabad, Hyderabad, India3
Center for Automation Research, UMIACS University of Maryland, College Park, MD 207423
Department of Computer Science and Engineering, University of Bologna, Cesena, Italy3
Universität Passau, Passau, Germany3
Institute for Human-Machine Communication Technische Universitat Munchen, Germany3
Dept. School of Information Science and Engineering, East China University of Science and Technology Shanghai, China3
LIFL (UMR Lille1/CNRS 8022) Telecom Lille1, Université de Lille1, France3
EURECOM Sophia Antipolis, France3
LAAS-CNRS, INSA, Université de Toulouse, CNRS, Toulouse, France3
Computer Science Department, Technical University of Cluj-Napoca, Image Processing and Pattern Recognition Group, Romania3
Department of Electrical and Computer Engineering, American University of Kuwait3
Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China3
Department of ECE, Delhi Technological University, Delhi, India3
National University of Science & Technology, (NUST), College of EME, Rawalpindi, Pakistan3
P.G. Department of Computer Science and Engineering, SGB Amravati University, Amravati (M.S.), India3
Department of Computer Engineering, American University of Sharjah (AUS), Sharjah, United Arab Emirates3
Laboratory of Electronics and Information Technology (LETI), National Engineering School of Sfax, Sfax, B.P.W.3038, Tunisia3
University Ca' Foscari, Venezia Mestre, Italy3
CSE, School of Computer Science and Engineering, VIT University, Vellore 632014, Tamilnadu, India3
Indian Institute of Technology Delhi, New Delhi 1100163
Robotics and Computer Vision Research Laboratory, ADSIP Research Centre, School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK3
DISI, Università di Genova, Italy3
INRIA Rocquencourt, France3
Laboratoire d’imagerie, de vision et d’intelligence artificielle École de technologie supérieure, Université du Québec, Montréal, Canada3
Center for Research in Intelligent Systems, University of California, Riverside Winston Chung Hall 216, Riverside, CA, 92521-0425, USA3
Department of Electronics, Telecommunications and Information Technology, Polytechnic University of Bucharest, Romania3
Data Management and Biometrics Group, Faculty of EEMCS University of Twente, Enschede, AE, 7500, The Netherlands3
Pattern Analysis & Computer Vision (PAVIS) - Istituto Italiano di Tecnologia, Genova, Italy3
North Carolina A&T State University, Greensboro, NC3
Cognitive Science Department of Xiamen University, Fujian Key Laboratory of the Brain-like Intelligent Systems, China3
School of Computing, Universitas Telkom, Multimedia Laboratory, Bandung, West Java, 402573
Parallel processing image. Computer Engineering Department, Electrical and Computer Faculty. Tarbiat Modares, Tehran, Iran3
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
AdViSe Technology Center, KU Leuven Department of Industrial Engineering Sciences, Germany3
British Malaysian Institute, Universiti Kuala Lumpur, Selangor3
Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Leganés, Spain3
School of Electrical Engineering and the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology, Atlanta, GA 30308, USA3
Surface Robotics Lab, Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur - 713209, West Bengal, India3
Technicolor Research and Innovation, Cesson-Sévigné, France3
Department of Electrical Engineering University of Windsor, 401 Sunset Ave, Windsor, ON, Canada3
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco3
Signal Processing and Speech Communication Lab, University of Technology, Graz, Austria3
Computational Vision Group, School of Systems Engineering, University of Reading, UK3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43 (FR) - Italy3
Dept. of CS&E, IIT Madras, India3
School of Engineering and Digital Arts, University of Kent Canterbury, Kent, United Kingdom3
Department of Telecommunication Engineering, Beijing Information Science and Technology University, Beijing, China 1001013
Computer Vision Center, Campus UAB, O-08193, Barcelona, Spain3
Harman International Industries, India3
Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden3
Kulliyyah of Information & Communication Technology International Islamic University Malaysia Kuala Lumpur, Malaysia3
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education (Chongqing University), Chongqing, China3
University of Oulu: Finland, Oulu, Finland3
Institute of Space Science, Bucharest, ISS, Romania3
LIFL UMR Lille 1-CNRS n 8022, IRCICA, 50 avenue Halley, 59658 Villeneuve d'Ascq, France3
Department of Electrical Engineering Indian Institute of Technology Kanpur, India - 2080163
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi3
Central China Normal University, Wuhan, China3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, 41121 MO, Italy3
GREYC Laboratory, ENSICAEN - Université de Caen, Basse-Normandie - CNRS3
Center of Informatics, Federal University of Pernambuco, Recife, Brazil3
NICTA3
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China3
Electrical Engineering Pennsylvania State University3
Electrical and Computer Engineering Johns Hopkins University3
Computer Science Department, Central University of South Bihar3
Qatar Computing Research Institute, HBKU, Doha, Qatar3
IBM T.J. Watson Research Center, USA3
The Pennsylvania State University, USA3
Certis Lab, ENPC ParisTech, France3
Victoria University, Melbourne, Australia3
Faculty of Engineering and Information Technology, INTI International University, Nilai, Malaysia3
Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Center for Research on Intelligent Perception and Computing3
University of Melbourne, Parkville, Australia3
National Laboratory of Pattern Recognition & University of Chinese Academy of Sciences, Beijing, China3
Certis, Lab, ENPC ParisTech, France3
Australian National University (ANU), Australia3
School of Electrical and Computer Engineering, University of Seoul, Korea3
Dept. of Comput. Sci., Sao Paulo Univ., Brazil3
Video Processing and Understanding Lab, Universidad Autónoma de Madrid, Madrid, Spain3
Departamento de Seguridad y Defensa, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador3
School of Healthcare Science Manchester Metropolitan University, UK, M1 5GD3
School of Information Science and Engineering, University of Jinan, Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, Jinan, China3
Department of Information system Science, Graduate School of Engineering, Soka University, Hachioji-Shi, Tokyo, Japan3
GREYC, Universite of Caen, Caen, France3
Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal3
Department of Electrical Engineering, Indian Institute of Technology at Kanpur, Kanpur, India3
Shanxi University, Shanxi Province, China3
Computer Vision Laboratory, ETH Zurich, Sternwartstrasse 7, 8092, Switzerland3
Dept. of Inf., Aristotle Univ. of Thessaloniki, Greece3
Department of electronic engineering, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China3
School of Information and Communications, Gwangju Institute of Science and Technology, Buk-Gu, Gwangju, South Korea3
Faculty of Engineering and Information Technology, University of Technology, Sydney3
Mie university, Mie, Japan3
Universidade Federal de Minas Gerais (UFMG), Brazil3
AIT Austrian Institute of Technology GmbH, Donau-City-Straße 1, 1220 Vienna, Austria3
Human-Machines Interaction (HMI) Laboratory, Dept. of Industrial Informatics, TEI of Kavala, Agios Loukas 65404, Greece3
Thiagarajar College of Engineering, Madurai, Tamilnadu, India3
Thundercloud Research Lab, Faculty of Info. Science & Technology (FIST) Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia3
Image Processing and Analysis Laboratory, University “Politehnica” of Bucharest, Romania3
University of Tübingen, Tübingen, Germany3
Chongqing University of Posts and Telecommunications Chongqing, China3
LIRIS, École Centrale de Lyon, UMR5205, F-69134, France3
Electrical Engineering Department and Advanced Mining Technology Center, University of Chile Santiago, Chile3
MIT Lincoln Laboratory3
Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Košice, Slovakia3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43, (FR) - Italy3
School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India3
Dept. of Electrical Engineering and Information Technology, GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany3
Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia3
Department of Electronic Systems, Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania3
Venue Maps Department, HERE North America LLC, Chicago, IL, USA3
Department of Information Technology, SSN College of Engineering, Chennai, India3
Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, 21945-970 CEP, Brazil3
Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China3
Movidius Ltd. 1st Floor, O'Connell Bridge House, D'Olier Street, Dublin, Ireland3
S.P.I.T., Mumbai3
Hewlett-Packard Labs3
Faculty of Science and Technology University of Macau Macau SAR, China3
Universitat Heidelberg, Heidelberg, Germany3
Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain3
Graduate School of System Design Tokyo Metropolitan University Tokyo, Japan3
Graduate School of Computer and Cognitive Sciences, Nagoya, Japan3
Informatics Engineering Dept., Engineering Faculty, Mataram University, J1. Majaphit 62 Mataram Lombok, Indonesia3
Daimler AG, Wilhelm-Runge-Str. 11, Ulm, 89081, Germany3
Department of Avionics, Indian Institute of Space Science and Technology, Thiruvananthapuram, India3
Halmstad Univ., Sweden3
School of Software, Jiangxi Normal University, Nanchang, China3
Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing, China3
Department of Computer Science, Independent University Bangladesh, Dhaka, Bangladesh3
CAS University of Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China3
Image Processing Group, Universidad Politécnica de Madrid, Madrid, Spain3
University of Luxembourg, Luxembourg3
Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA3
Federal University of Technology - Parana, Brazil3
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA3
Department of Electronics, University Alcalá, Madrid, Spain3
MPI Informatics, Saarbrücken3
Department of Measurement & Control, University of Kassel, Kassel, Germany3
The University of Auckland, Auckland, New Zealand3
Center for Biometric Authentication & Testing, Chinese Acad. of Sci., Beijing, China3
School of Computing, The University of Leeds, United Kingdom3
Elektronik Mühendisliği Bölümü Ankara Üniversitesi, Ankara, Türkiye3
School of Science and Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil3
Naval Aeronautical and Astronautical University, Department of Electronic and Information Engineering3
Adobe Research, San Jose, CA 95110, USA3
BMS College of Engineering, Bangalore, INDIA3
Institute of Image Processing and Pattern Recognition, North China University of Technology, Beijing, China3
University of Jinan, Jinan City3
Key Lab of Optic-Electronic and Communication, Jiangxi Sciences and Technology Normal University, Nanchang, Jiangxi, 330013, China3
Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic3
Laboratory of Inverse Problems, Modeling, Information, and Systems (PI:MIS), Department of Electronics and Telecommunications, University of May 08 1945, B.P box 401, Guelma 24 000, Algeria3
Department of CS and IT, Dr. B A M University, Aurangabad, (MH), India3
Dept. of CSE, SUST Sylhet, Bangladesh3
Deniz Harp Okulu, Turkey3
Fuzhou University, Fuzhou, Fujian, China3
Electronics and Telecommunications Research Institute, Daejeon, South Korea3
Robotics Research Center, IIIT Hyderabad3
Department of Electrical and Computer Engineering, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA3
Autonomous University of the State of Mexico, Toluca, Mexico3
Dipartimento di Informatica, Università di Milano, Via Comelico 39/40, 20135, Italy3
Texas A8M University, TX, USA3
Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy3
Department of Electronics, University of Alcalá, Madrid, Spain3
Daimler AG, Research and Development. Ulm, Germany3
Embedded Systems Laboratory, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland3
University of Freiburg, Freiburg, Germany3
University of Information Technology, Department of Knowledge Engineering and Machine Learning, Ho Chi Minh city, Vietnam3
Faculty Of Mathematics and Computer Science, Babes Bolyai University, Cluj-Napoca, Romania3
ANU (Australian National University), Australia3
Department of Computer Science, University of Brasilia, DF 70910-900 Brazil3
Department of Electrical and Electronics, National Institute of Technology Surathkal, Mangalore, India3
Institute for Electronics, Signal Processing and Communications, Otto-v.-Guericke University, Magdeburg, Germany3
Computer Aided Medical Procedures, Technische Universität München, Germany3
Department of Computer Science and Technology, Harbin University of Science and Technology, China3
University of sciences of Monastir, Monastir, Tunisia3
2012 Labs, Huawei, Bangalore, India3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10 000, Croatia3
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil3
Dept. of Computer Science, U. of Southern California3
Faculty of Computer Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu Province, China3
College of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China3
KULeuven, EAVISE3
Computer Aided Medical Procedures, Technische Universitaet Muenchen, Munich, Germany3
Environment Perception, Daimler R&D, Sindelfingen, Germany3
Jaguar Land Rover, Engineering Centre, Coventry, UK3
Postgraduate Program in Computing State University of Maringá, Avenida Colombo, 5790, Maringa - Parana - Brasil3
PRISME laboratory, 12 rue de Blois, F-45067 Orleans Cedex2, France3
Ecole Polytechnique Fédérale de Lausanne, Lausanne3
Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany3
School of Mathematics, Statistics and Computer Science, UKZN, Durban, South Africa3
Department of Electrical Engineering, and Advanced Mining Technology Center, Universidad de Chile Av. Tupper 2007, Santiago, Chile3
Department of Information Science and Engineering, Changzhou University, Changzhou, China3
Department of Computer Engineering, University of Kashan, Iran3
Dept. of ECE, SVEC, Tirupati, AP3
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia3
University of Girona, ATC, Girona, Spain3
Department of Electronic Engineering, Inha University, Republic of Korea3
School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, India3
Texas State University-San Marcos3
Institute for Human-Machine Communication, Technische Universität München3
CVIT, KCIS, IIIT Hyderabad, India3
Department of Electronics & Computer Engineering, Chonnam National University, Gwangju, South Korea3
Polish-Japanese Academy of Information Technology R&D Center, Warsaw, Poland3
Faculty of Electronics, Wroclaw University of Science and Technology, Wroclaw, Poland3
Face Aging Group, Computer Science Department, UNCW, USA3
Department of Computer Science and Engineering - Aalto University - Espoo, Finland3
City University of New York, New York, NY, USA3
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou, China3
Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany3
Institute of Computer Science University of Goettingen, Data Fusion Group, Germany3
Signal Processing Research Group Electrical and Computer Engineering Department, Yazd University Yazd, Iran3
INRIA Grenoble Rhône-Alpes, Saint Ismier, France3
FZI Research Center for Information Technology, 76131 Karlsruhe, Germany3
Dept. of Electrical and Computer Engineering, University of Michigan 1301 Beal Avenue, Ann Arbor, MI 48109-21223
Centre for Visual Information Technology, IIIT Hyderabad, Hyderabad, India3
CVSSP Group, Surrey Univ., Guildford, UK3
Informatics & Telematics Institute, Centre for Research & Technology Hellas, Thermi-Thessaloniki 57001 Greece3
Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Robot and Assistive Systems Department, Nobelstraße 12, 70569 Stuttgart, Germany3
The University of Buckingham, Buckingham, MK18 1EG, UK3
Multimedia and Information Security Laboratory, ABV-Indian Institute of Information Technology and Management, Gwalior, India, 4740153
Dpto. de Senales y Comunicaciones, Univ. de Las Palmas de Gran Canaria, Spain3
Speech and Image Processing Research Lab, Department of Electronics and Communication Engineering, National Institute of Technology Silchar, 788010, Assam, India3
Center for Research on Intelligent Perception and Computing (CRIPAC), NLPR, Institute of Automation, CAS, Beijing, China3
Bilgisayar Mühendisliği Bölümü, Başkent Üniversitesi, Ankara, Türkiye3
Centre for Autonomous Systems at KTH Royal Institute of Technology, Stockholm, Sweden3
Kyushu Institute of Technology, Tobata, Kitakyushu, Fukuoka, Japan3
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore3
Department of Computer Science and Engineering Toyohashi University of Technolog Toyohashi, Japan3
Institute of Industrial Science The University of Tokyo, Tokyo, Japan3
Department of InformaticsSystems and Communication, University of Milano–Bicocca, Milan, Italy3
College of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China3
Instituto de Sistemas e Robótica, Lisbon, Portugal3
Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G.C., Evin 1983963113, Tehran, IRAN3
Department of Electrical and Information Engineering, University of Cassino and of Southern Lazio, (FR), Italy3
Visual Analysis of People Laboratory, Aalborg University (AAU), Aalborg, Denmark3
School of Information Engineering, Wuyi University, Jiangmen, Guangdong, China3
Southern Illinois University at Carbondale, Carbondale, IL3
School of Information Technology, Computer Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand3
National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan3
IRISA, University of Rennes 1, Rennes, France3
Disney Research Zurich3
Nuremberg Institute of Technology Department of Computer Science3
Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan3
Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs3
Computing Department, Universidade Federal de Ouro Preto, Ouro Preto, MG, 35400-000, Brazil3
Department of Computer Science and Telecommunications, National Research University of Electronic Technology (MIET), Zelenograd, Russia3
Mercedes-Benz Research & Development North America, USA3
Agency for Defense Development, Korea3
Institute of Robotics and Automatic Information System (IRAIS), Nankai University, Tianjin 300071, China3
King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia3
Shanghai Jiaotong University, China3
SHISEIDO CO., LTD. Beauty Solution Development Center, 3-9-1,Nishigotanda Shinagawa, Tokyo, 141-0031, Japan3
University of Verona, Strada le Grazie, Verona, Italy3
Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT)3
Information and media processing laboratories, NEC Corporation3
Aarhus University, Aarhus, Denmark3
Advanced Informatics School (AIS), Universiti Teknologi Malayisa (UTM), Kuala Lumpur, Malaysia3
PARC, Palo Alto, CA3
Department of Systems Engineering, Universidad Carlos III de Madrid, C/ Butarque 15, Leganes, Spain3
Centro de Investigación y de Estudios Avanzados del I.P.N., Coordinación General de Tecnologías de la Información y las Comunicaciones Av. I.P.N. No. 2508, Col. San Pedro Zacatenco 07360, México, D.F., México3
Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Valencia, Spain3
School of Information Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China3
Cerema, Department Laboratory of Clermont-Ferrand, 8-10 rue Bernard Palissy, F-63017 Cedex 2, France3
Faculty of Computer Engineering, Iran University of Science and Technology3
Mathematical and Computer Science Department, Faculty of Science, Sohag University, Egypt3
Xi’an Jiaotong University, Xi’an, China3
MIT Media Lab, Cambridge, MA, USA3
Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany3
Autonomous Driving System Research Group, ETR, Daejeon 34219, Korea3
Faculty of Engineering and Applied Science University of Regina Regina, Canada3
Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitési3
Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, 210016, China3
Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., South Korea3
Desert Research Institute, Reno, USA3
NASA Ames Research Center, Moffett Field, USA3
Brain Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, CO4 3SQ Colchester, UK3
Mitsubishi Electric Research Labs (MERL) Cambridge, Massachusetts, USA3
School of Engineering, Cranfield University, UK3
Department of Information Engineering, University of Firenze, Firenze, Italy3
Institut VEDECOM, Versailles, France3
Hasso Plattner Institute, Potsdam, Germany3
Department of Computer Engineering and IT, College of Engineering, Pune, India3
Xi'an Peihua University, Intelligent Science & Information Engineering College, Xi'an, China3
Autonomous Ground Vehicle Team, Indian Institute of Technology Kharagpur, WB, 721302, India3
Gerhard-Mercator- University Duisburg, Department of Computer Science, Faculty of Electrical Engineering, 47057 Duisburg - Germany3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central Lancashire, Preston, PR1 2HE, UK3
Ural Federal University, Yekaterinburg, Russia3
Computer Science Department, Technical University Of Cluj-Napoca, Romania3
Computer Science Department, Technical University of Cluj-Napoca3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China3
Electrical and Computer Engineering Department, Semnan University Semnan, Iran3
Indian Institute of Technology Guwahati, Guwahati, India3
Communication System Group, Technische Universität Berlin, Einsteinufer 17, 10587, Germany3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia 41125, Modena, Italy3
Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa3
Vistek ISRA Vision, Boğaziçi Üniversitesi, İstanbul, Türkiye3
Department of Engineering, University of Modena, Modena, Italy3
Dept of Information Technology, Panimalar Institute of Technology3
Department of Computer Science, Pontificia Universidad Cato´lica de Chile3
Bo¿gaziçi University, Electrical & Electronic Engineering Department, 34342 Bebek, Istanbul, Turkey3
Fujitsu Laboratories, Kawasaki, Kanagawa, Japan3
Center of Informatics - CIn, Federal University of Pernambuco - UFPE, Recife, Brazil3
Department of Electronic and Computer Engineering National Taiwan University of Science and Technology3
Utrecht University, Utrecht, Netherlands3
Computer Engineering Department. University of Alcalá, Alcalá de Henares, Spain3
Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain3
Robert Gordon University, Aberdeen, United Kingdom3
Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda, Turkey3
School of Information and Electronics, Beijing Institute of Technology, Beijing P. R. China3
Deir—University of Sassari, Sassari, Italy3
Vidyalankar Institute of Technology, Mumbai, India3
Department of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan3
GLA University3
National Lab of Pattern Recognition (NLPR) Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing 100190, China3
Dept. of Inf. Technol., Okayama Univ., Japan3
School of Mechatronic Engineering, University Malaysia Perlis (UniMAP) Main Campus, Ulu Pauh, Perlis, Malaysia3
DII - University of Modena and Reggio Emilia, Via Vignolese 905 - Italy3
University of Vigo3
LIMSI, CNRS, Univ. Paris-Sud, Université Paris-Saclay3
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, China, 4300733
UC Irvine3
University of Alabama3
Cooperative Medianet Innovation Center, Shang hai Jiao Tong University, China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, P.R. China, 2151233
University of Kaiserslautern & German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany3
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea3
Interdisciplinary Laboratory of Research in Sciences and Technologies (LIRST), Sultan Moulay Slimane University, Morocco3
Guangxi University, School of Computer, Electronics and Information, Nanning, China3
Computer Vision Group, Friedrich Schiller University Jena3
Department of Computer Science and Engineering, Chalmers I University of Gothenburg, Gothenburg, Sweden3
Kumamoto Univ., Kumamoto3
Australian Centre for Field Robotics (ACFR), School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney 2006 NSW, Australia3
Department of Electronics, University of Alcalá, Alcalá de Henares, Spain3
Terna Engineering College, University of Mumbai, Navi Mumbai 400706, India3
School of Information Science and Engineering Shandong University Jinan, Shandong, 250100, China3
Laboratoire J.-L. Lagrange, UMR7293, Université de Nice Sophia Antipolis, Nice Cedex, France3
Division of Advanced Industrial Science and Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5 floor, 3 research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Daegu, Republic of Korea3
CERTH, Thermi-Thessaloniki, Greece3
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran3
College of Computer and Communication Engineering, China University of Petroleum, Dongying, China3
University of Salerno, Salerno, Italy3
Reconstruct & Expansion Project of Zhu-Xin Section of Henan Expressway Co. Ltd, Xinyang, China3
XiHua University, Cheng Du3
School of Information and Communication Engineering, Beijing University of Posts and Telcommunications, Beijing, China3
Inha University, Incheon, Korea3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India3
University school of Information and Communication technology, Guru Gobind Singh Indraprastha University, Dwarka, New-Delhi, India3
Affiliated Sichuan Provincial Rehabilitation HospitalChongqing Medical University3
Skolkovo Institute of Science and Technology, Skolkovo, Moscow3
CNRS, Heudiasyc UMR 7253, Sorbonne universités, Université de technologie de Compiègne, CS60319, Compiègne cedex, 60203, France3
Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, Houston, TX3
Department of Computer Science, Harbin Institute of Technology (Shenzhen), Shenzhen, China3
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1205, Bangladesh3
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation Chinese Academy of Sciences, Beijing, China 1001903
Huazhong Univ. of Sci.& Tech., China3
Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106, USA3
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, USA3
Digital Media Lab., Tillämpad Fysik och Elektronik, Umeå Universitet, SE-90187, Sweden3
Institute of Automation Chinese Academy of Sciences, National Lab of Pattern Recognition, Beijing, China3
Applied Research Group, Satyam Computer Services Ltd, 3rd Floor, SID Building, IISc Campus, Bangalore - 12, India3
Laboratory of Inverse Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications, University of 08 Mai 1945, P.O box 401, Guelma, Algeria3
Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System College of Computer Science and Technology, Wuhan University of Sciences and Technology Wuhan 430065, China3
Chalmers University of Technology, Gothenburg, Sweden3
Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy3
Le2i Laboratory, University of Burgundy, Le Creusot, France3
Fraunhofer IOSB, Gutleuthausstr. 1, 76275 Ettlingen, Germany3
CES-Laboratory, Sfax Sud University, National Engineering School of Sfax, Tunisia3
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore3
University of Firenze, via S. Marta 3, 50139 Firenze, Italy3
Hitachi, Ltd., Tokyo, Japan3
Simula Research Laboratory, Oslo, Norway3
College of Mathematics and Information Sciences, Hebei Normal University, Shijiazhuang 050024, China3
University of California, Los Angeles, CA Dept. of Electrical Engineering3
School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK3
Aoyama Gakuin University, Japan Sagamihara, Japan3
Multimodal Interactive Syst., Darmstadt, Germany3
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, 9 rue Charles Fourier, Evry Cedex, 91011, France3
Department of Computer Science and Engineering, Indian Institute of Technology Madras, India3
Shanghai Advanced Research Institute, CAS, Shanghai, China3
Computer Engineering and Computer Communications Department, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia3
Center for Artificial Intelligence and Robotics (CAIRO), Aswan University, Egypt3
Electrical Communications and Electronics Eng. Dept., Faculty of Engineering, Tanta University, Tanta, Egypt3
IBISC Laboratory, FRE CNRS 3190, University of Evry Val Essonne, Evry, France.3
Faculty of Computer Science and Engineering, Complutense University of Madrid, Madrid, Spain3
University of Nottingham Malaysia Campus, Jalan Broga, 43500 Semenyih, Selangor, Malaysia3
Image Understanding Group, Daimler AG R&D, Stuttgart, Germany3
Department of Electronic and Computer Engineering, Brunei University, London, London, UK3
School of Mechanical and Electrical Engineering, Shandong Management University, Jinan, China3
Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India3
IMAGO Research Group, Universidade Federal do Paraná, 81531-980 Curitiba, Brazil, PO Box 190923
Fac. of Inf. Technol., Multimedia Univ., Malaysia3
LA.R.A Laboratory, National Engineering School of Tunis, National Engineering School of Carthage, Tunis, Tunisia3
Institute for Autonomous Systems Technology (TAS), Bundeswehr University Munich, Neubiberg, 85577, Germany3
Networked Robotics and Sensing Laboratory, Engineering Science School in Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada3
LRIT, associated unit to CNRST (URAC 29), Mohammed V University in Rabat, B.P. 1014, Rabat, Morocco3
Università degli Studi di Firenze, Firenze3
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University Lishui Road 2199, Nanshan District, Shenzhen, Guangdong Province, China 5180553
Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah-711 103, India3
National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, Nizhny Novgorod, Russia3
Advanced Analytics Institute, University of Technology, Sydney, Australia3
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China3
Biometric Recognition Group-ATVS, EPS, UAM, C/ Francisco Tomas y Valiente 11, 28049 Madrid, Spain3
ETIS/ENSEA, University of Cergy-Pontoise, CNRS, UMR 8051, France3
Department of Computer Science, The University of Liverpool, UK3
Sao Paulo State University – UNESP 13506-900, Rio Claro, SP - Brazil3
Simula Research Laboratory, Norway3
Department of Computer Science, Virginia Tech, Discovery Analytics Center3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China3
Clarkson University, 8 Clarkson Ave, Potsdam, New York3
Research group GOTS, Universidad Industrial de Santander, Bucaramanga, Colombia3
College of Electronic and Information Engineering, Hubei Key Lab of Intelligent Wireless Communication, South-Central University for Nationalities, Wuhan 430074, China3
TAMS group, Dept. Informatics, Hamburg University. Vogt-Koelln-Strasse 30, 22527, Germany3
School of Mathematics and Statistics, Huazhong University of Science & Technology, Wuhan, 430074, China3
Centre for Research in Engineering Sciences and Technology (CREST), KPIT Cummins Infosystems Ltd., Pune, India3
School of Computer science and engineering, Wuhan Institute of Technology, Wuhan, China, 4300733
Robotics, Perception and Learning Lab, KTH, Stockholm, Sweden3
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China3
Dept. of Computer Science and Electrical Engineering, University of Missouri at Kansas City, United States of America3
Amrita Robotic Research Centre, Amrita Vishwa Vidyapeetham, School of Engineering, Bangalore, India3
School of Electrical and Information Engineering, Shanghai University of Electric Power, China3
Centre for Intelligent Signal & Imaging Research, Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS, Tronoh, Perak, 31750, Malaysia3
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, India3
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma, JAPAN 630-01923
Institute for Human-Machine Communication, TU Munich, Germany3
Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey3
Center for Bionics, Korea Institute of Science and Technology, South Korea Department of Electronic Engineering, Inha University, South Korea3
Fac. of Comput. & Inf. Sci., Ljubljana Univ., Slovenia3
Department of Electrical and Electronic Engineering, National University of Ireland, Galway, Ireland3
Lodz University of Technology, ul. Stefanowskiego 18/22, 90-924, Poland3
Faculty of Computing, Engineering and Sciences, Staffordshire University, Stoke-on-Trent, U.K.3
GTÜ Bilgisayarla Görme Lab, Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, 41400, Türkiye3
Department of Electrical Engineering, University of Washington (UW)3
Université de Technologie de Compiègne (UTC), CNRS Heudiasyc UMR 7253, Compiègne, France3
Computer Engineering Department, Prince of Songkla University, Hat Yai, Thailand3
Google, New York, NY, USA3
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China3
Visionlab, University of Antwerp3
Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015, Switzerland3
Department of Computer Engineering, Maharashtra Institute of Technology, Pune3
Department of Artificial Intelligence Engineering, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran3
National Chung-Shan Institute of Science and Technology, Taiwan3
ISSNIP, Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria - 3010, Australia3
Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil3
School of Computer Science and Technology, Nanjing Tech University, Nanjing, China3
University of California, Riverside, USA3
Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh India3
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, U.K.3
Center for Research in Intelligent Systems, University of California, Riverside Riverside, CA 92521-0425, USA3
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea3
Institut Pascal - CNRS UMR6602 Université Blaise Pascal, Campus des Cézeaux, 63177 Aubière, France3
Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India3
GVU Center, Georgia Inst. of Technol., Atlanta, GA, USA3
Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany3
Computer Science Department Technical University of Cluj-Napoca Cluj-Napoca, Romania3
University of Udine, Via Scienze 208, 33100, Italy3
CRISTAL Laboratory, GRIFT research group, National School of Computer Sciences, La Manouba University, Tunisia3
Instituto Politécnico Nacional, ESIME, Culhuacan, Mexico D.F.3
Department of Computer Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran3
Robotics, Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia, Genova, Italy3
Institute for Artificial Intelligence, Department for Computer Science, University of Bremen, Germany3
Elektrik ve Elektronik Mühendisliği Bölümü, Mevlana Üniversitesi, Konya, Turkey3
Academy of Broadcasting Science, Beijing, China3
Annamalai university, Annamalai nagar, India3
Computer Science Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India3
Edward S. Rogers Senior Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada3
University of Firenze3
Robotics Institute at Carnegie Mellon University, Pittsburgh, PA 15213, USA3
College of Information Science and Technology Beijing Normal University, Beijing Beijing, China3
Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China3
Max-Planck-Institut für Informatik, Saarbrücken, Germany3
Département EPH, Telecom SudParis3
State Grid Energy Research Institute, China3
Guanadong University of Technology, China3
Department of Electronics, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand3
ISR-Institute of Systems and Robotics, University of Coimbra Polo II, Coimbra, Portugal3
Air Force Research Lab, USA3
Bilgisayar Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Istanbul, Turkey3
Computer Science Department, University of Sherbrooke, Sherbrooke, Canada3
Panasonic System Networks3
Dept. of Electronics & Electrical Engineering, IIT Guwahati, India3
NICTA, Canberra3
Computer Vision Center and Computer Science Dpt. UAB, Bellaterra, Spain3
School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), China3
Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand3
University of Sao Paulo3
Institute of Mathematical and Computer Sciences, University of Sao Paulo, Sao Paulo, Brazil3
Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, China3
Université de Biskra, Biskra, Algeria3
BT Convergence Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700 S. Korea3
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece3
College of Engineering and Technology, Arab Academy of Science and Technology & maritime transport, Egypt3
School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, China3
AASS Research Center, School of Science and Technology, Örebro University, S-70182, Sweden3
Central China Normal University, China3
Indian Institute of Information Technology Guwahati, Assam, India, 7810013
Computer Graphics Laboratory, Department of Informatics and Telecommunications, University of Athens, Ilisia 15784, Greece3
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK3
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283, Germany3
Dept. of Comput. Eng., Bogazici Univ., Turkey3
Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France3
School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, Taegu 702-701, Republic of Korea3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, Dortmund, 44227, Germany3
Cyber Security Cluster, Institute for Infocomm Research, Singapore3
CVC and C. Sc. Dpt. UAB, Barcelona, Spain3
Ghent University3
Department of Electrical and Computer Engineering, The Johns Hopkins University, Center for Language and Speech Processing, USA3
Grupo de Investigación en Desarrollos Tecnológicos (GIDET), Programa de Tecnología en Electrónica, Facultad de Ciencias Básicas y Tecnologías, Universidad del Quindío (Colombia)3
National Electronics and Computer Technology Center, Thailand3
Nanjing University of Posts and Telecommunications, China3
University of Missouri Columbia, USA3
Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland3
School of Computer Science and Software Engineering University of Wollongong, Australia3
RIKEN Center for AIP, Tokyo, Japan3
Fulda University of Applied Sciences, Fulda, Germany3
Wakayama University, Sakaedani 930, Wakayama-City 640-8510, Japan3
WILLOW Project-Team, INRIA, and Département d’Informatique, de l’Ecole Normale Supérieure, ENS/Inria/CNRS UMR 8548, Paris, France3
The Graduate Center, USA3
Phonexia, Brno-Krlovo Pole, Czech Republic3
Universidade de Pernambuco (UPE), Recife, Brazil3
Institute for Information Processing, Leibniz University Hanover, Hanover, 30167, Germany3
Research and Technology Center, Robert Bosch LLC, Palo Alto, CA, USA3
Instituto de Telecomunicações, Instituto Superior Técnico - Universidade de Lisboa, Lisbon, Portugal3
Dep. of Computer Science, Technical University of Munich, Boltzmannstrasse 3 85748 Garching, Germany3
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, 34342 Bebek, İstanbul, Turkey3
Università Politecnica delle Marche (Italy)3
Institute for Infocomm Research, A∗STAR, Singapore3
Department of Electrical Engineering , University of California, Los Angeles (UCLA), Los Angeles, USA3
Dept of Computer & Information Science Indiana University-Purdue University Indianapolis, IN, United States3
The Third Research Institute of the Ministry of Public Security, Shanghai, China3
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan3
Department of Automation and Remote Control; Perm National Research Polytechnic University; Perm, Russia3
Institute for Information Industry3
Pattern Analysis & Computer Vision, Istituto Italiano di Tecnologia, Italy3
University of Tübingen, Tübingen, Baden-Württemberg, Germany3
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Republic of Korea3
Universidade NOVA Lisboa, Lisbon, Portugal3
People’s Public Security University of China, Beijing, China3
ISPR Lab., Department of Computer Science, Faculty of Mathematics, Shahid Behshti University, Tehran, Iran3
Google Inc., Mountain View, CA, USA3
ESAT-PSI / iMinds, KU Leuven, Belgium3
Institute of Image Transmission and Information Processing Shanghai Jiao Tong University3
Army Research Laboratory, Adelphi, Maryland, United States of America3
Department of Software Engineering, ChongQing College of Electronic Engineering, China3
LEAR team, Montbonnot3
Department of Electrical, Electronics and Computer Engineering, University of Catania, Catania, Italy3
University of Texas, Arlington3
National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, Shaanxi, 710049, China3
Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, China3
Group of Biometrics, Biosignals and Security, GB2S, Centro de Domótica Integral, Universidad Politécnica de Madrid, Campus de Montegancedo. Pozuelo de Alarcón, 28223, Madrid3
Intel Labs Pittsburgh, USA3
BITS Pilani, Pilani , India3
iHomeLab, Lucerne University of Applied Sciences and Arts, Switzerland3
Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil3
School of Electrical and Electronic Engineering, Singapore3
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway3
Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid, Spain3
Mobile Robotics Lab (LabRoM), São Carlos School of Engineering (EESC), University of São Paulo, Av. Trabalhador Sancarlense 400, Brazil3
SAGE, Advanced Systems in Electrical Engineering, Tunisia3
University of Tübingen3
Intelligent Robotics and Communication Laboratories, ATR, Japan3
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France3
Department of Computer Sciences, University of Salzburg J.-Haringerstr.2, 5020 Salzburg, Austria3
Department of Clinical Psychology and Psychotherapy, University of Tübingen, Tübingen, Germany3
Technische Universität Berlin, Berlin, Germany3
College of Computer and Information Technology, China Three Gorges University, Yichang, Hubei, 443002, China3
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications and Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry ...3
Dept. of Neuroinformatics, Ilmenau Tech. Univ., Germany3
Machine Vision and Pattern Recognition Research Group, Lappeenranta University of Technology, Finland3
Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany3
NICTA, Queensland, Australia3
Department of Information and Communication Engineering, INHA University, Incheon, Korea3
National Laboratory of Pattern Recognition, Institute of Automation, Beijing, China3
ATR Intelligent Robotics and Communication Labs., Kyoto, Japan3
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech. Bangalore-560060, India3
Department of Electrical and Information Engineering, University of Gadjah Mada, Indonesia3
Indian Institute of Technology Bombay, Mumbai, India3
University of Salerno, Fisciano, Italy3
Shenyang Institute of Automation, Chinese Academic of Sciences, Key Lab of Image Understanding and Computer Vision, The Key Laboratory of Optical Electrical Image Processing, Shenhe District, Shenyang, Liaoning, China3
Norwegian University of Science and Technology, Gj⊘vik, Norway3
Institute of Neural Information Processing, University of Ulm, Germany3
Medical Psychology, Department Psychosomatic Medicine and Psychotherapy, University of Ulm, Germany3
TAMS group, Dept. Informatics, University of Hamburg. Vogt-Koelln-Strasse 30, 22527, Germany3
Department of Electrical Engineering, Tokyo University of Science Chiyoda-ku 102-0073 Tokyo, Japan3
Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), CAS, Beijing, China3
College of Electronic Information Engineering, South-Central University for Nationalities, Wuhan, China3
Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia3
University of Information Technology, Vietnam3
School of Mechanical Engineering, University of Science and Technology Beijing, USTB, Beijing, China3
EECE Department - Cairo University, Giza, Egypt3
Dept. of Cybernetics and Artificial Intelligence, FEI TU of Košice, Slovak Republic3
School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi 394063
Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, India3
Department of Aerospace Engineering, Institute for Autonomous Systems Technology, University of the Bundeswehr Munich, Germany3
Multimedia Lab., Toshiba Corp., Kawasaki, Japan3
Applied Computing Department The University of Buckingham Buckingham, United Kingdom3
School of Computer, Shenyang Aerospace University, Shenyang, China3
Washington University in St Louis, USA3
ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.3
Curtin University Bentley, Western Australia3
Univ. Pierre & Marie Curie, ISIR - CNRS UMR 7222, F-75005, Paris - France3
Daimler Center for Automotive Information Technology Innovations (DCAITI), Berlin, Germany3
Fraunhofer Institute for Open Communication Systems (FOKUS), Berlin, Germany3
Department of CSE, RMK Engineering College, Chennai3
School of Information Security Engineering, Shanghai Jiaotong University, No. 800 Dong Chuan Rd., 200240, Shanghai, China3
Centre of Artificial Intelligence, School of Software, FEIT, University of Technology, Sydney, Australia3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia3
Graduate School of Engineering, Tokyo University of Science, 125-8585, Japan3
Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India3
Columbia Univeristy, New York, NY, USA3
Elektrik ve Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye3
University of Freiburg, Computer Science Institute, D-79110, Germany3
Heudiasyc Lab., UMR, Sorbonne universités. Université de technologie de Compièegne, CNRS, Compiègne, 7253, France3
Department of Electrical and Computer Engineering3
AKiiRA Media Systems Inc., Palo Alto, CA, USA3
Department of Computer Science, South Asian University, New Delhi, India3
Center for Information Technology, UPES, Dehradun, India3
Department of Electrical Engineering, Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden3
LEMCO (INRETS), 14 route de la minière, building 824, 78000 Versailles - Satory, France3
Department of Electrical Engineering, University of California, Riverside, 925213
Toyohashi University of Technology, Japan3
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, France3
College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China3
LaBRI, University of Bordeaux, UMR 5800, F-33400 Talence, France3
Otto-von-Guericke University of Magdeburg, Magdeburg, Germany3
UNC Charlotte, Charlotte, NC, USA3
School of Computing Science and Engineering, VIT University, Vellore, India3
School of Electrical and Electronic Engineering’ Yonsei University, Seoul, 03722, South Korea3
Dept. of Electronic Engineering, Daegu University, Gyeongsan-City, 38453, South Korea3
AGH University of Science and Technology Krakow, Poland3
Sorbonne Universités, Université de Technologie de Compiègne, CNRS, Heudiasyc Laboratory, France3
Kentkart İzmir, TÜRKİYE3
Los Angeles, CA3
Electronics and Communication Dept., Sarvajanik College of Engineering and Technology, Surat, India3
School of Computer Science, Beijing Institute of Technology, China3
Chinese University of Hong Kong, Hong Kong, China3
School of Technology, Nanjing Audit University, Nanjing, China3
School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China3
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, China3
Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, 28933 Móstoles (Madrid), Spain3
Dept. of Computer Science, Suez Canal University, Ismailia, Egypt3
Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan City, Taiwan3
Department of Teleinformatics Engineering, Universidade Federal do Ceará, Fortaleza, CE, Brazil3
Department of Learning and Digital Technology, Fo Guang University, Yilan, Taiwan3
DIEGM - University of Udine, Via Delle Scienze, 208 - 33100 - Italy3
Department of Computer Science, Pacific Lutheran University, Tacoma, WA, USA3
Computer Science and Engineering, Universite du Quebec en Outaouais, Gatineau, Canada3
TU Braunschweig, Institute of Control Engineering, Germany3
Faculty of Information Science and Engineering, Ningbo University, Ningbo, China3
Beijing Institute of Graphic Communication, Beijing3
Electrical Engineering Department, Vision and Pattern Recognition Systems Research Group, Capital University of Science and Technology, Islamabad, Pakistan3
School of Systems Engineering, University of Reading, Reading, United Kingdom, RG6 6AY3
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA3
Shanghai Jiao Tong University & Alibaba Group, Shanghai, China3
Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK3
The University of Texas at Arlington3
Alibaba, Hangzhou, China3
Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak, Kuala Lumpur, Malaysia 531003
School of Information science and Engineering Central South University Changsha, Hunan 410083, China3
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China3
Computer Science Department, Texas State University, San Marcos, TX, USA3
Faculty of Telecommunications, TU-Sofia3
Geospatial Laboratory, Universidad Católica del Maule, Talca, Chile3
School of ECE, Peking University Shenzhen Graduate School, Shenzhen, China3
Department of Computer Science, The State University of New York at Binghamton, Binghamton, NY, USA3
IT University of Copenhagen, Copenhagen, Denmark3
Learning Affect and Semantic Imaging (LASII) Group, Indian Institute of Technology Ropar, India3
Faculty of Engineering, University of Fukui, Japan3
Software School, Shenyang University of Technology, China3
Dept. of Computer Science and Electrical Engineering, University of Missouri-Kansas City, MO, USA3
University of Burgundy, Le2i, BP 47870 21078 Dijon, France3
Department of Computer Science and Engineering, POSTECH, Korea3
CNRS, UMR 5516, Laboratoire Hubert Curien, F-42000, Saint-Étienne, France3
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar-799022, Tripura (W), India3
Department of Computer, Science Seattle University, WA, USA3
Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan3
Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Reggio Emilia, Italia3
NTT Corporation, Atsugi, Japan3
University of Buckingham, Buckingham, United Kingdom3
School of Computer Science and Technology, Hubei University of Science and Technology, P. R. China3
Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beersheba, Israel3
University of Melbourne, Australia3
Escuela de Ingeníeria Informática, Universidad Católica de Temuco, Temuco, Chile3
Harbin Institute of Technology Shenzhen Graduate School, 518055 Guangdong China3
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98684 Ilmenau, Germany3
Department of Computer Graphics and Multimedia, Universiti Teknologi Malaysia, Johor Bahru, Malaysia3
LIP, UPMF, Grenoble, Cedex3
Dept. of Inf. Technol., Univ. of Turku, Finland3
Department of Electronic Measuring systems, Moscow Engineering Physics Institute, National Research Nuclear University MEPhI, Moscow, Russia3
Department of Information Technology, Dharmsinh Desai University, Nadiad, India3
KDDI R&D Laboratories Inc., Fujimino, Saitama, Japan3
University of California, at Berkeley3
Department of Computer Science, TU Darmstadt, Darmstadt, Germany3
Faculty of Engineering, Department of Electrical Engineering, Aswan University, Egypt3
Institute for Human-Machine Communication, Technische Universität München3
Department of Electronics Information Engineering, Xi'an Technological University, China3
Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, India3
Department of Industrial Engineering, Università degli Studi di Salerno, Italy3
MIT Lincoln Laboratory, 244 Wood Street, Lexington, MA 024203
Mitsubishi Electric Research Labs (MERL), Cambridge, Massachusetts, USA3
Faculty of Informatics, Technische Universitat München, 85748 Garching, Germany3
School of Computer Science, Hubei University of Technology, Wuhan, China3
Pompeu Fabra University, Barcelona3
TELECOM & Management SudParis, Evry3
School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland3
Data Science Department EURECOM, Biot, France3
Department of Political Science, Communication, Engineering and Information Technologies, University of Sassary, Italy3
Department of Information Engineering at the University of Padua, Italy3
Osaka University Osaka, Japan3
Centre for Research and Technology Hellas, Thessaloniki, Greece3
National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences, Beijing, China3
Radboud University Nijmegen, Nijmegen, The Netherlands3
Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia3
Vision Laboratory, LARSyS University of the Algarve, Faro, Portugal3
Department of Computer Engineering, Sejong University, Seoul, 143-747, Korea3
Mobile Robots Research Lab., Faculty of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 15875-4413, Iran3
Dept. of Comput. Sci., London Univ., UK3
Computer Science Department, University of Technology, Baghdad, Iraq3
Research Institute of Computer Science and Technology, Ningbo University, China, 3152113
GREYC Laboratory, ENSICAEN - Université de Caen Basse-Normandie - CNRS, ENSICAEN 6, boulevard maréchal Juin 14050 Caen Cedex 4 FRANCE3
School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, CO 130012 China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China3
Department of Computer Engineering, Uka Tarsadia University, Bardoii, India3
Biometrics Res. Lab., Univ. Politecnica de Madrid, Spain3
FZI Research Center for Information Technology, Karlsruhe, Germany3
Universidade de São Paulo, São Paulo, São Paulo3
Information and Human Sciences, Kyoto Institute of Technology, Kyoto, Japan3
LIASD research Lab., University of Paris 8, 2 rue de la Liberté, 93526 Saint-Denis cedex, France3
Ubiquitous Computing, Lab, Kyung Hee, University, Korea3
Indian Institute of Information Technology, Allahabad-211012, India3
CENTRALESUPELEC/IETR UMR6164, Team FAST (Facial Analysis, Synthesis and Tracking) Avenue de la Boulaie, 35576, Cesson-Sévigné, France3
National Laboratory of Pattern Recognition, Institute of Automation, CAS, Beijing, China, 1001903
CRIStAL (UMR CNRS 9189) - Lille 1 University - Villeneuve d'Ascq, France3
CVPR Unit, Indian Statistical Institute, Kolkata 700108, India3
Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Andhra Pradesh, India 5022053
Universiti Teknologi Malaysia3
Xerox Research Center in Webster, NY 14580, USA3
School of Engineering and Technology, University of Hertfordshire, Hatfield, AL10 9AB, UK3
Institut Mines-Télécom/Télécom Lille, Laboratoire d'Informatique Fondamentale de Lille, Lille LIFL UMR, France3
Dept. of Electronics and Information Engineering, Huazhong Univ. of Science and Technology, China3
University of Paris 8 - Vincennes, Saint-Denis3
Sfax University, Tunisia3
Dept. of Electrical & Computer Engineering, University of Auckland, Auckland, New Zealand3
Department of Computer Science, Punjabi University, Patiala, India3
College of Science Shengyang, Ligong University, Shenyang, 110159, China3
University of Chinese Academy of Sciences & Chinese Academy of Sciences, Beijing, China3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast, BT7 1NN, United Kingdom3
R&D Centre Algoritmi, School of Engineering, University of Minho, Portugal3
IMAGO Research Group, Universidade Federal do Paraná, Brazil3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central, Lancashire, Preston PR1 2HE, United Kingdom3
Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China3
Laboratoire d' Imagerie, de Vision, et d'Intelligence Artificielle, École de Technologie Superiéure ( ÉTS), University of Quebec, 1100, rue Notre-Dame Ouest, Montreal, Canada, H3C 1K33
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070 Koblenz, Germany3
Data Analytics Technology & Applications Research Institute, Institute for Information Industry3
Dept. of Computer Engineering of Keimyung University, Daegu 704701 S. Korea3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States3
Intel Labs China, Beijing, China3
Department of Computer Science and Operations Research, University of Montreal, Canada3
School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili, Nanshan District Shenzhen, Guangdong Province, China3
Faculty of Electronics and Computer Sciences University of Sciences and Technology Houari Boumediene Algiers, Algeria3
Computer and Automation Research Institute, Hungarian Academy of Sciences, Hungary3
D.I.I. - University of Modena and Reggio Emilia, Italy3
INRIA, Rocquencourt, France3
Institute of Mathematics and Computer Sciences, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil3
Dept of CSE, IIT, Guwathi, India3
SICISI unit, ESSTT, University of Tunis, 5 Av. Taha Hussein, I008, Tunis, Tunisia3
Department of Electrical Engineering, IIT Delhi, New Delhi, India3
NEC Soft, Ltd., 1-18-7 Shinkiba, Koto-ku, Tokyo 136-8627, Japan3
Department of Electrical Engineering Isfahan University Isfahan, Iran3
Digital Imaging Research Centre, Kingston University Kingston-upon-Thames KT1 2EE, UK3
LIIAN Laboratory, Department of Informatics, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco3
Shanghai Institute of Applied Physics, Chinese Academy of Science, China3
Mando Softtech India Pvt. Ltd., Gurgaon, India3
Dept. of Electronics and Comm., M.S. Ramaiah Inst. of Tech., Bangalore - 560054, India3
Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil3
School of Computer Science and Communication Engineering, Guangxi University of Science and Technology, Liuzhou, 545006 China3
Bio-computing research center, Shenzhen Graduate School Harbin Institute of Technology, China2
IRIB University, 19395-1746, Niayesh Ave., Tehran, Iran2
U2IS, ENSTA ParisTech, Université de Paris-Saclay, 828, Bd des Maréchaux, 91762 Palaiseau CEDEX - France2
Department of Electrical Engineering, Universidad de Chile, Av. Tupper 2007, Santiago, Chile2
University of Seville , Seville, Spain2
Institute of Image & Graphic, Computer Science Department of Sichuan University, Chengdu, 610064, China2
Department of Electronics and Communication, R.V. College of Engineering, Bangalore, India2
University of Massachusetts-Amherst, Amherst, MA, USA2
Dept. of CSE, Indian Institute of Technology Guwahati, Guwahati, Assam, India2
Technical University of Catalonia, Barcelona, Spain.2
Dept. of Electronics and Communication, MSRIT, Banglore, India2
Department Informatik, Hamburg University of Applied Sciences, Hamburg, Germany2
Department Informatik, Hamburg University of Applied Sciences, Engineering and Computing, University of the West of Scotland2
Robotics Institute at Carnegie Mellon University, USA2
Siemens Corporate Technology, Princeton, NJ, USA2
Department of Computer Science, University of California at Irvine, Irvine, CA, USA2
Peking University Shenzhen Graduate School & Peking University, Beijing, China2
Department of Computer Science, University of Indonesia, Depok 16424, Indonesia2
College of Information Engineering, Shanghai Maritime University, Shanghai, China2
Dept. of Electrical Engineering, National Tsing-Hua University, Taiwan2
Foundation for Research and Technology--Hellas (FORTH), Heraklion, Greece2
Dept. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu, Taiwan2
Samsung Research America2
U. of California, Santa Barbara, USA2
Laboratory of Computer, Vision and Media Technology (CVMT), at Aalborg University, Niels Jernes, Vej 14, Aalborg, Denmark2
Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine2
Intel Corporation, Singapore, Singapore2
Centre for Development of Advanced Computing (CDAC), Kolkata, India2
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, China2
The University of Alberta, Canada2
Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria2
Sunway University, Selangor, Malaysia2
Department of Computer Science, Rani Channamma University, Belagavi, Karnataka, India2
Vision and Pattern Recognition Systems (VisPRS) Research Group Muhammad Ali Jinnah University, Islamabad, Pakistan2
Department of Electrical Engineering, The City College of New York, New York NY, USA2
Department of Electrical Engineering, American University of Sharjah, UAE2
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil, Ecuador2
King Abdulaziz University, Jeddah, Saudi Arabia2
Computer Science Department Technical University of Cluj-Napoca, Romania2
University of Mauritius, Reduit, 230, Mauritius2
UFMG & Kunumi, Belo Horizonte, Brazil2
Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan2
GIPSA-Lab, Grenoble Institute of Technology, France2
Department of Radiology; Medical Physics, University Hospital Freiburg, Freiburg, Germany2
Institute of Informatics and Telecommunications NCSR 'Demokritos' Athens, Greece2
Instituto de Microelectronica de Sevilla, IMSE-CNM-CSIC, Spain2
Strategic Analytics, lastminute.com group, Chiasso, Switzerland2
University of Colombo School aof Computing, University of Colombo ∗No 35, Reid Avenue, Colombo 72
Computer Science and Engineering, Easwari Engineering College, Chennai, India2
Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai-600 0362
IBM Research - Tokyo, Japan2
Department of mechanical Engineering Faculty of Sciences and Technology University Sidi Mohamed Ben Abdellah Fez, Morocco2
Department of Computer Science, College of Engineering Munnar, Idukki, Kerala, India2
Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany2
CEA, LIST, France2
Institute for Infocomm Research, 21 Heng Mui, Keng Terrace 119613 Singapore2
IIIT Guwahati2
School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia2
School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, United Kingdom2
Center of Excellence in Science and Technology, Islamabad, Pakistan2
Department of Computer Engineering, Alzahra University, Tehran, Iran2
RET, Las Vegas, Nevada2
BV-Tech Ricerca, Rovereto (Italy)2
FBK Trento (Italy)2
DISI - University of Trento, Trento (Italy)2
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia2
University of Borås, Borås, Sweden2
Kodak Research Laboratories, Eastman Kodak Company, Rochester, NY, USA2
Osaka University Health Care Center, Japan2
Department of Computer Engineering, Siirt University, Siirt, Turkey2
School of Information Science, Computer and Electrical Engineering, Sweden2
Institut d'Électronique Fondamentale - Universite Paris Sud2
Renault S.A.S.2
Electronics Department, University of Alcalá (UAH), Spain2
Institute of Robotics, Innopolis University, Russia2
Daimler AG, R&D, Germany2
University of Sciences and Technology, USTHB University, BP 32, El Alia, Algiers, Algeria2
Department of Electrical Engineering, The City College of New York, 10031, USA2
Xinjiang University, China2
Dept of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece2
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, SP Brazil2
Department of Information Management, National Formosa University, Huwei, Yulin 632, Taiwan2
Institute of Logic and Intelligence, Southwest China University, Chongqing, China2
Computer Engineering Department, Cyprus International University, Lefko¿a, North Cyprus2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Eski¿ehir Osmangazi Üniversitesi, Turkey2
Electrical Engineering and Computer Science, University of California at Merced, Merced, USA2
Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea2
Department of ECE, UCEK, JNTUK, Kakinada2
Kunming University of Science and Technology, Kunming, China2
CNRS UMR7222, Sorbonne Université, Institut des Systèmes Intelli-gents et de Robotique, Paris, France2
Department of Information Technology, Uppsala University, Sweden2
Disney Research, Pittsburgh, PA, USA2
Yokohama Research Laboratory, Hitachi, Ltd., Yokohama, Japan2
University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA2
Cranfield University, Shrivenham SN6 8LA, United Kingdom2
Dept. of Mathematics and Scientific Computing, IIT Kanpur, Uttar Pradesh, India-2080162
Department of Computer Science and Engineering, University of Califonia, San Diego2
Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia2
Dept. of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh2
Computer System Department, Belarusian State University of Informatics and Radioelecrtronics, 6 P. Brovka st, Minsk, Belarus2
MNIT Jaipur, India2
Escuela Superior Politecnica del Litoral, Guayaquil, Ecuador2
Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador2
Institute of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan2
School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an Shaanxi, China2
Skolkovo Institute of Science and Technology (Skoltech), Novaya Street 100, Moscow Region, Russia2
Linköping University, Linköping, Sweden2
Service Systems Technology Center, Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan 31040, R.O.C2
Computer Science and Engineering, G. H. Raisoni College of Engineering, Nagpur (MS), India2
Laboratory ISA Faculty of Science and Technology, Fez, Morocco2
Ideal Institute of Information and Technology, Northeast Normal University, NENU, Changchun, China2
Boǧaziçi University, Istanbul, Turkey2
IDIAP Res. Inst., Martigny, Switzerland2
Dept. of Information Science, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan2
Biomedical Engineering Programme, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand2
Dept. of Computer Science, University of California, Irvine2
Dipartimento di Informatica Bioingegneria Robotica e Ingegneria dei Sistemi, Università degli Studi di Genova, Genoa, Italy2
Technological Educational Institute of Crete (TEI), Department of Informatics Engineering, Heraklion, Crete, Greece2
Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece2
Centre de Recherche et Développement de la Gendarmerie Nationale, (CRD-GN), Algier, Algeria2
Centre de Développement des Technologies Avancées, Division Architecture des Systèmes, Cité 20 Août 1956, BP 17, Baba Hassen, 16303, Algier, Algeria2
Electronics and Communication Engineering, Karunya University, Coimbatore, India2
School of Computer Science, Shaanxi Normal University, Xi'an, China2
Grupo de Investigación en Automática, Universidad Tecnológica de Pereira2
Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), ECE Dept., University of Massachusetts Lowell, 01854, USA2
Computing and Information Systems, Kingston University London, UK2
Institute of Automation Chinese Academy of Sciences, Beijing, 100190, China2
Department of Electrical and Computer Engineering, University of Victoria, BC V8W3P6, Canada2
California State University, Fullerton2
Department of Telecommunication, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan2
Univ. Bordeaux, CNRS, IMS, UMR 5218, F-33400 Talence, France2
Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, India2
LITIV Lab., Polytechnique Montreal2
Vision and Pattern Analysis Laboratory, Sabanci University - Faculty of Engineering and Natural Sciences, Istanbul, Turkey2
Graduate School, Air Force Engineering University, Xi’an, China2
Dept. of E & TC Engineering, Maharashtra Institute of Technology, Pune, India2
Northwestern Polytechnical University Xian, P. R. China2
Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genova, Italy2
Department of Biomedical Engineering, Jungwon University, Chungcheongbuk-do, Republic of Korea2
Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK2
Elektrik-Elektronik Mühendisliği Bölümü, Işık Üniversitesi, İstanbul, TÜRKİYE2
Information Engineering and Medical Imaging Group, City University London, London, UK2
Sorbonne Universites, universite de technologie de Compiegne, CNRS, UMR 7253 Heudiasyc-CS 60 319, 60 203 Compiegne Cedex, France2
Centro de Informática, Universidade Federal de Pernambuco, Av. Luiz Freire s/n, 50670-901, Recife, Brazil2
School of Electrical and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China2
Informatics and Telematics Institute Centre for Research and Technology Hellas, Greece2
Dept. of Electrical and Computer Engineering, Western Michigan University, USA2
Centre for Unified Biometrics & Sensors, Sensors Univ., Buffalo, NY, USA2
Electrical and Electronic Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey2
Faculty of Electrical Engineering, University of Banja Luka, Bosnia, Herzegovina2
Department of Mathematics and Computer Science, Northeastern State University, OK, USA2
Department Of Artificial Intelligence, Faculty of Computer Science & Information Technology, Kuala Lumpur, Malaysia2
Department of Electrical Engineering, National Institute of Technology, Rourkela-769008, India2
Department of ECE, Global Academy of Technology, Bangalore, Karnataka, India2
Dept. of Electronics and Telecommunication Engg., KCT's Late G.N. Sapkal college of Engineering, Nashik, India2
Comput. Vision Lab., Maryland Univ., College Park, MD, USA2
Student, IEEE2
ENST, Bretagne, GET-ENST, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
FMV IŞIK Üniversitesi, Şile, Istanbul2
College of Information Engineering, Nanchang University, Nanchang, China2
Dept. of Electrical & Electronics Engineering, Nooral Islam Centre for Higher Education, Kumaracoil, Kanyakumari District, Thuckalay, Tamil Nadu, India2
CVIT, IIIT Hyderabad2
Computer Vision Laboratory, GIST, South Korea2
Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology2
Academy of Broadcasting science, Beijing, China, 1008662
Elektrik ve Elektronik Mühendisliği Bölümü, Bilecik Üniversitesi, Turkey2
University of Illinois at Urbana-Champaign (UIUC)2
Florida Atlantic University, Boca Raton, FL, USA2
Department of Computer Science and Engineering of Systems, University of Zaragoza, Escuela Universitaria Politécnica de Teruel, Teruel, Spain2
POSTECH, 37673 Pohang, Korea2
LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France2
UIIP, Minsk, Belarus2
BSUIR, Minsk, Belarus2
South Base, China Mobile, Guangzhou, China2
Università di Salerno, Fisciano (SA), Italy2
Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney Playa, Havana, Cuba2
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, School of Computer Science, Beijing Institute of Technology, Beijing, China2
German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany2
College of Engineeing & informatics, National University of Ireland Galway Galway, Ireland2
Dept. of Computer Science and Engineering Nagoya Institute of Technology Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan2
University of Texas at El Paso, 500 W University Ave - El Paso TX 799682
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300812
Department of Electronics and Communication Engineering, PEC University of Technology, Chandigarh-160012, India2
Computer Science and Information Management, Asian Institute of Technology, Pathumthani, Thailand2
School of Information Engineering, Nanchang University, Nanchang, China2
College of Science and Technology, Nanchang University, Nanchang, China2
Yandex, Moscow2
Dept. of Comput. Sci., York Univ., UK2
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Box 451, Thessaloniki 54006, Greece2
Tencent Inc2
INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France2
Department of Mechanical Engineering, University at Buffalo, SUNY Buffalo NY 14260 USA2
CSE, Department, Regional Centre of Anna University, Tirunelveli, TamilNadu, India2
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia2
Adobe Research, San Jose, USA2
Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy2
Telecom Lille 1, LIFL, Lille, France2
Department of Electronics & Communication Engineering National Institute of Technology, Srinagar - 190006 India2
TCS Innovation Labs, TATA Consultancy Services, Hyderabad, India2
UNC-Charlotte, Charlotte, NC, USA2
Electric Power Research Institute of Guizhou Power Grid Co., Ltd., Guiyang, China2
Tongren Electric Power Supply Bureau of Guizhou Power Grid Co., Ltd., Tongren, China2
Department of Computer Science and Engineering, University of Chittagong, Bangladesh2
Supelec, IETR (UMR 6164) Avenue de la Boulaie, 35511, Cesson-Sevigne2
Depart. Electronics, Telecommunications & Information Technology, Polytechnic University of Bucharest, Romania2
Laboratory of Parallel Software and Computational Science, State Key Laboratory of Computer Science, Institute of Software Chinese Academy of Sciences, Beijing, China2
School of Mathematics, Statistics and Computer Science University of KwaZulu-Natal Durban, South Africa2
Honda Research Institute, 375 Ravendale Dr, Suite B, Mountain View, CA, 94043, USA2
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA2
Signal Theory and Communications Department, University of Vigo, Vigo, Spain2
University School of Information and Communication Technology, Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, New Delhi-110078, India2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Turkey2
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283 Darmstadt, Germany2
Signal Processing Laboratory (LTS2), Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland2
Gwangju Institute of Science and Technology, School of Information and Communications, Gwangju, Republic of Korea2
Security & Safety Systems Development Office, Tokyo R&D Center, Panasonic Corporation2
University Polytechnica of Bucharest, Bucharest, Romania2
Ghent University, Zwijnaarde, Belgium2
ENSTA ParisTech, UIIS Lab University of Paris-Saclay, 91762 Palaiseau, France2
Department of Computing, The University of the West Indies, Mona Campus, Jamaica2
Wrocław University of Science and Technology, Wrocław, Poland2
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh2
LIMSI-CNRS, Orsay, France2
Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA, USA2
Computer Vision and Robotics Group , University of Girona, Girona, Spain2
Firmenich SA, Geneva2
Max Planck Institute for Intelligent Systems2
MediaTek Inc., Hsinchu, Taiwan2
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, GU2 7XH, UK2
Key Laboratory of Optoelectronic Technology and Systems, MOE Chongqing University Chongqing, China2
Syracuse University2
Biometric Laboratory, Research and Academic Computer Network (NASK), Wąwozowa 18, Warsaw, Poland2
Department of Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India2
ONERA - The French Aerospace Lab, F-91761 Palaiseau, France2
Départment d'Informatique, Université de Sherbrooke, QC, Canada J1K 2R12
Université Lyon, Villeurbanne, France2
Department of Computer Science, Southern Illinois University Carbondale, IL, USA2
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, 350121, China2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China2
Department of Computer Science, University of Bucharest, 14 Academiei Street, Bucharest, Romania2
School of Information Science and Technology, Northwest University, Xi’an, China2
Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, 028812
Department of Computer Technology, YCCE Nagpur, India2
Visual Learning and Intelligence Group (VIGIL), Department of Computer Science and Engineering, India2
University of Leeds Leeds, UK2
Biometric and Image Processing Laboratory, Università di Salerno, Via Ponte don Melillo, Fisciano, 84084, Salerno2
College of Information and Control Engineering, China University of Petroleum (East China), Dongying 257061, China2
School of Computer Sciences, Universiti Sains Malaysia, Malaysia2
Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia2
Department of Automation, Shanghai Jiaotong University, Shanghai 2002402
Electronics and Communication Sciences Unit, Indian Statistical Institute, India2
School of Electrical Engineering and Computer Science at the University of Newcastle, Callaghan, NSW 2308, Australia2
Shanghai University of Engineering Science, Shanghai, China2
ISR - Instituto Superior Técnico, Lisboa, Portugal2
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia2
School of Information Science and Engineering, Shandong University Jinan, China, 2501002
University College London (UCL), Electronic and Electrical Engineering Department, London, U.K.2
Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France2
School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, China2
2004 Route des Lucioles -BP93 Sophia Antipolis Cedex, 06902, France2
CASIS at Clemson University, Clemson, SC 29634, USA2
Dep. of Computer Science - University of Milan Via Comelico 39, I-20135 Milan - Italy2
Artificial Intelligence Group, University of Bremen, Am Fallturm 1, 28359, Germany2
Imavis srl, Italy2
Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation2
Computer Science Division, EECS, University of California at Berkeley, USA2
Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia2
School of Computer Engineering, Shahrood University of Technology, Iran2
University of Malaga2
University of Cordoba2
Department of Computer Science, IT: Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal2
Dept. of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York, USA2
Xinjiang University, Urumqi, China2
GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Maréchal Juin, 14000 CAEN, France2
GRIMAAG, University of the Antilles and Guyane, Pointe-à-Pitre , France2
SDM, Dharwad, India2
BVBCET, Hubli, India2
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia2
Institute of Real-Time Learning Systems, University Siegen, Hoelderlinstrasse 3, 57076, Germany2
Artificial Intelligence Group, University Bremen, Am Fallturm 1, 28359, Germany2
Institut Eurécom, Multimedia Communications Department, BP 193, 06904 Sophia Antipolis Cedex, France2
Department of Electronics and communication Engineering, Sathyabama University, Chennai2
Dept. of Electron. Eng., City Univ. of Hong Kong, China2
Research department, Herta Security, Barcelona, Spain2
University of Wisconsin, Madison, Wisconsin2
Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, Porto Alegre, RS, 6681, Brazil2
Department of Computer Science, Shanghai Maritime University, Shanghai, China2
Information Security Group, School of Engineering and Mathematical Sciences, City University London, EC1V 0HB London, U.K2
Department of Information Technology, MCKV Institute of Engineering, Howrah, India2
Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA2
Bosch Center for Artificial Intelligence, Renningen, Germany2
Dept. of Information Engineering, University of Firenze - Italy2
Department of Computer Science and Engineering University of North Texas Denton, TX 762012
Automated Driving Team, Robert Bosch LLC, Palo Alto, CA 943042
Department of Electrical Engineering Jorhat Engineering College Jorhat, Assam2
Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany2
Beijing Information Science and Technology University, School of Automation, Beijing, China2
Tatung University, Taipei City, Taiwan Roc2
Institute of Communications and Navigation, German Aerospace Center (DLR), Oberpfaffenhofen, Germany2
EAVISE, KU Leuven Department of Industrial Engineering Sciences, Germany2
Chinese Academy of Sciences and Anhui Engineering Laboratory for Intelligent Driving Technology and Appllication, Hefei Institute of Physical Science, Hefei, Anhui, 230031, China2
University of California, Santa Cruz, Santa Cruz2
Brigham Young University, Provo, USA2
Research Institute of Computer Science and Technology Ningbo University, Ningbo, China2
Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244, USA2
CRISTAL laboratory, GRIFT research group National School of Computer Sciences (NSCS) La Manouba 2010, Tunisia2
Mechanical and Electrical Engineering, Polish Naval Academy, Gdynia, Smidowicza 69, Poland2
University of California Santa Cruz, Santa Cruz2
Department of Electrical Engineering, University of California Riverside, Riverside, CA2
Department of Mathematics and Computer Science, Univeristy of Udine, Udine, Italy2
Video Processing Laboratory, Department of Electrical Engineering, Yazd University, Yazd, Iran2
Dr. G. Y. P. College, MGM, Aurangabad2
Maharashtra University of Health Sciences, Nashik2
Department of Computer Technology, YCCE, Nagpur, Maharashtra, India2
Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA2
Cochin University of Technology, School of Engineering, Ernakulam, Kerala, India2
DIIn, University of Salerno, via Ponte don Melillo, Fisciano - Italy2
Division of Computer Engineering, Netaji Subhas Institute of Technology, Delhi, India2
Masaryk University, Brno, Czech Rep2
Charles University, Prague, Czech Rep2
Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy2
Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy2
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada2
Dept. of Infrastructure Engineering, The University of Melbourne, Parkville 3010, Australia2
Biomedical Engineering and Medical Physics Shahid Beheshti University, Tehran, Iran2
Elektrik ve Elektronik Mühendisli¿i Bölümü Bo¿aziçi Üniversitesi, Turkey2
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, 92521, USA2
French Aerospace Lab, ONERA - 91123 Palaiseau, France2
Sorbonne University, UPMC University, Paris 06, UMR 7606, LIP6 - 75005, France2
National Institute of Electronics and Information Technology, Aizawl Aizawl, Mizoram, India2
Computer Science Department Université de Moncton Moncton NB Canada E1A 3A92
USP - University of Sáo Paulo / ICM CLRM - Mobile Robots Lab2
CycloMedia BV, P.O. Box 68, 4180 BB, Eindhoven, NL2
School of Information Science, Japan Advanced Instititue of Science and Technology, Ishikawa, Japan2
Indian Statistical Institute, Kolkata 700108, India2
Dept. of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan2
Department of Electrical and Computer Engineering, The University of Auckland, New Zealand2
ENSTA ParisTech, UIIS division, 858 Blvd des Maréchaux, 91762 Palaiseau, France2
Department of Information Engineering, Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy2
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan2
Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile2
Deparment of Computer Science, Centro de Investigación en Matemáticas, 36240 Guanajuato, México2
Experimental and Technological Research Group - NExT/IFG, Federal Institute of Goiás, Goiânia, Brazil2
Snap Research, Venice, CA, United States2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, 100081, P.R. China2
Fraunhofer Institut for Open Communication Technologies (FOKUS), Kaiserin-Augusta-Allee 31, 10589 Berlin, Germany2
Universidade NOVA de Lisboa, Caparica, Portugal2
Department of Computer Science TU Darmstadt, Germany2
MPI Informatics Saarbrücken, Germany2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Do¿u Akdeniz Üniversitesi, Gazima¿usa, KKTC, Turkey2
Department of Electronics at the University of Alcalá (Madrid, Spain)2
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Korea2
Universidad Catolica de Chile2
Microsoft Advanced Technology Center, Beijing2
Media Computing Group, Microsoft Research Asia, Beijing2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Le Chan, Hai Phong2
Department of Theoretical Neuroscience, Frankfurt Institute for Advanced Studies, Goethe University Frankfurt, Ruth-Moufang-Str. 1, 60438, Germany2
Electrical Engineering & Computer Science, University of California at Merced, USA2
Electrical Engineering Department, the University of Ulsan, Ulsan, Korea2
School of Information Engineering, Wuyi University, Jiangmen Guangdong, China 5290202
Department of Electronic and Computer Science Engineering, Pusan National University, Busan, Republic of Korea2
Capital University of Economics and Business, Beijing, P.R. China2
Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA2
Central Scientific Instruments Organization (CSIR-CSIO), Sector 30C, Chandigarh, India2
College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China2
Chengdu University, School of Information Science and Engineering, Chengdu, 610106, China2
Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil2
College of Computer and Electronic Information, Guangdong University of Petrochemical Technology, Maoming, China2
College of Applied Science and Technology, Hainan University, China2
Denso IT Laboratory, Inc., Tokyo, Japan2
National Laboratory of Pattern Recognition & Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China2
Robotics Program, KAIST, Daejeon, 34141, Korea2
School of Science, Information Technology and Engineering, University of Ballarat, Australia2
School of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, Pakistan2
Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines2
Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland2
Brazilian Navy, Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil2
École Centrale de Lille, CRIStAL, UMR CNRS 91892
Univ. Bordeaux, LaBRI Talence, France2
Department of Electronics Engineering, Konkuk University, Seoul, South Korea2
Shree Vaishnav Institute of Technology and Science, Indore (M.P) India2
Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea2
Bilişim Enstitüsü, İTÜ, Turkey2
Osaka Municipal Technical Research Institute, Boulder, 536-8553 JAPAN2
Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Elektrik-Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
School of Electrical and Electronic Engineering, Tianjin University of Technology, China2
School of Computing, Mathematics and Digital Technology2
Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA 021392
LICÉF research center, TÉLUQ University, Montreal (QC), Canada2
Elektrik ve Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey2
Sunway University: Department of Computer Science and Networked Systems, Petaling Jaya, Malaysia2
Microsoft Research Asia, Haidian District, China2
Department of Computer Science and Engineering, P.A College Of Enginnering And Technology, Coimbatore, India2
MTA SZTAKI Institute for Computer Science and Control2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS)2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS) Taibah University2
Guang Zhou Communication Information Construction Investment and Operation Co. Ltd, China2
Institute of Smart City Systems, Qingdao Academy of Intelligent Industries, China2
Lawrence Livermore National Laboratory, Computational Engineering Division, Livermore, CA USA2
General Motors Company2
Department of Automation, Shanghai Jiaotong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, 200240, China2
Departamento de Electrotecnia, Facultad de Ingeniería, Universidad Nacional del Comahue. Buenos Aires 1400, Neuquén CP 8300, Argentina2
Department of ECE, Kalasalingam University, India2
Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, MALAYSIA2
Flanders Make, Oude Diestersebaan 133, 3920 Lommel, Belgium2
Department of Mathematics and Computer Science, University of Cagliari, Italy2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, Australia2
University of Montreal Montréal QC, Canada2
National Aviation University, Kyiv, Ukraine2
Electric-Electronic Department, Ho Chi Minh University of Technology, Ho Chi Minh City, Vietnam2
Kogakuin Univ., Tokyo, Japan2
Graduate School of Science and Engineering, Teikyo University2
London Health Sciences Centre, London, ON, Canada2
Siemens Corporate Technology, Imaging and Visualization Munich, Germany2
Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Ettlingen, Germany2
Honda Research Insitute, USA2
Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza, Spain2
Konkuk University, Seoul, Korea2
Department of General Surgery, Carolinas Medical Center, United States of America2
College Of Engineering Trivandrum, India2
DIIn, University of Salerno, Fisciano (SA) - Italy2
Visionlab at Heriot-Watt University, UK2
IUT d'Orsay, Université de Paris-Sud, Plateau de Moulon, 91400, France2
RWTH Aachen , Aachen, Germany2
Department of Computer Science Engineering, Misrimal Navajee Munoth Jain Engineering College, Chennai, India2
Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, CEP, 26041-271, Brazil2
Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France2
Image Processing & Data Mining Lab, Shahrood University of Technology, Shahrood, Iran2
MINES ParisTech, PSL Research University, CAOR - Centre de Robotique, 60 Bd St Michel 75006. Paris, France2
Institute of Informatics, UFRGS, Porto Alegre, Brazil2
GIT Vision Lab, Bilgisayar Mühendisliği Bölümü, Gebze Yüksek Teknoloji Enstitüsü, Kocaeli, 41400, Türkiye2
Department of Computer Science & Engineering, POSTECH, Pohang, Sourth Korea, 376732
German National Library of Science and Technology & Leibniz Universität Hannover, Hannover, Germany2
Havacılık Elektrik ve Elektroniği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
University of British Columbia Department of Electrical and Computer Engineering2
Chalmers University of Technology, Goteborg, Sweden2
Dept. of Mech. & Ind. Eng., Toronto Univ., Canada2
CSR Research Unit of EμE Laboratory, National School of Engineering, Ibn Eljazzar 5019, Monastir, Tunisia2
Beijing University of Aeronautics and Astronautics, Beijing, China2
Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil2
Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh2
Signal Process. Lab., Swiss Fed. Inst. of Technol., Lausanne, Switzerland2
Eindhoven Univ. of Technol., Netherlands2
Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland2
School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China2
TZI Center for Computing and Communication Technologies, University Bremen, Am Fallturm 1, 28359 Bremen, Germany2
Elektrik Elektronik Mühendisligi Bölümü Boğaziçi Üniversitesi, 34342, Bebek, Istanbul, Türkiye2
Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic2
Fab Lab, Independent University Bangladesh, Dhaka, Bangladesh2
Institute of Information Engineering, CAS, Beijing, China2
Majority Report, France2
College of Mathematics & Information Science, Wenzhou University, Wenzhou, Zhejiang, China2
Computer Vision Lab, University of Central Florida. Orlando, USA2
Multimedia Lab. Ortadoğu Teknik Üniversitesi, Ankara, Türkiye2
Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland2
Artificial Intelligence Research Center Korea Electronics Technology Institute Seongnam. Korea2
Dept. of CSE, Annamalai University2
Université de Caen Basse-Normandie, UMR 6072 GREYC, F-14032, France2
Dept. of ECE Syed Ammal Engineering College, Ramanathapuram, India2
Samsung Research Institute China-Beijing (SRC-Beijing), Beijing, China2
College of Engineering, Trivandrum, India2
Bilgisayar Mühendisliği Bölümü, ˙Istanbul Teknik Üniversitesi2
Computer Science Department, University at Albany, State University of New York2
Instituto Nacional de Astrofíosica, Óptica y Electrónica (INAOE), Tonantzintla, Mexico and Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France2
Lero - The Irish Software Research Centre, University of Limerick, Ireland2
Department of Computer Science & Engineering, G. H. Raisoni Academy of Engineering and Technology, Nagpur, India2
SUNY Binghamton, Binghamton, NY, USA2
School of Information Science and Technology, Jiujiang University, Jiujiang, China2
Electrical-Electronics Engineering Department, Kirikkale University, Turkey2
Dept. of Electrical Engineering and Computer Science, Syracuse University2
Academy of Broadcasting Science, Information Technology Institute, Beijing, China2
Noah's Ark Laboratory, 2012Labs Huawei Technologies Co., Ltd., Beijing, China2
Faculty of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany2
U.S. Army Engineer Reserch and Development Center, Information Technology Laboratory, Vicksburg, MS, United States2
Instituto de Computação, Universidade Federal do Amazonas, Manaus, Amazonas, Brasil2
WaveLab - The Multimedia Signal Processing and Security Lab, Universität Salzburg, Austria2
Department of Computer Science & Engineering, India Jadavpur University, Kolkata, India2
Department of ECE LBSITW, Poojappura Trivandrum, India2
Department of Electronics and Information Systems, Ghent University, Ghent, East Flanders, Belgium2
Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran2
INRIA Sophia Antipolis Meditérannée, Valbonne, France2
Computer Vision and Remote Sensing, Technical University, Berlin, Germany2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Ngo Quyen, Hai Phong2
Department of Computer Science & Engineering Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
Guangxi Key Laboratory of MIMS and the College of Computer Science and Information Technology, Guangxi Normal University, Guilin, China2
TAIST Tokyo Tech, ICTES Program, School of ICT, Sirindhorn International Institute of Technology, Thammasat University, Thailand2
University of Ulm, Ulm, Germany2
Dept. of Electronics Engineering, Pondicherry University, Puducherry, India2
Department of Electronics and Communications Engineering Yildiz Technical University, Istanbul, Turkey2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea2
Google, Seattle, USA2
IBM Research Tokyo, Tokyo Research Lab, Toyosu, Japan2
Electrical Engineering Department Jorhat Engineering College Jorhat, India2
Computer Science and Engineering, Washington University in St. Louis2
Computer Vision and Systems Laboratory, Laval University, Quebec City G1V 0A6, Canada2
International Computer Science Institute (ICSI), Berkeley, CA, USA2
LEAR team, Inria Grenoble Rhone-Alpes, France2
MIT, Cambridge, MA, USA2
Jiujiang University, Jiujiang, China2
Inria, Villers-les-Nancy, France2
IBM Research - Zürich, 8803 Rüschlikon, Switzerland2
UC Berkeley EECS, USA2
EPFL, Lausanne (Switzerland)2
ETHZ, Zurich (Switzerland)2
Microsoft Research India Pvt. Ltd, Bangalore, Karnataka, India2
Department of Computer Science, UNC Chapel Hill, NC, 275992
School of Mechatornic Engineering, University Malaysia Perlis (UniMAP), Malaysia2
Pontifical Catholic University of Rio Grande do Sul2
MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), MOHAMMED V UNIVERSITY (UM5), Rabat, Morocco2
University of Shanghai for Science and Technology, 200093, China2
Electrical Engineering Sharif University of Technology Tehran, Iran2
Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile2
University of California, Riverside, 92521, United States of America2
Sichuan Police College, Luzhou, China2
Automotive Technology, Technical University of Munich, Garching b. München, Germany2
BILGEM - Ulusal Elektronik ve Kriptoloji Araştırma Enstitüsü (UEKAE), TÜBITAK, Kocaeli, Türkiye2
School of Information, Guizhou Financial Institute, Guiyang, China2
Dept. of Inf., Piraeus Univ., Greece2
Social Robotics Laboratory, University of Freiburg, Germany2
Department of Computer Eng., Faculty of Eng., Sari Islamic Azad University, Sari, Iran2
College of Information Science and Engineering, Dalian Maritime University, Dalian 116026, China2
University of Victoria, Victoria, BC, Canada2
MPI Informatics, Saabrucken2
Caltech, Pasadena2
ENTC dept., Solapur University, N.B.N.Sinhgad College of Engineering, Kegoan, Solpaur, India2
Department of Computer Science & Engineering, National Institute of Technology, Rourkela, India2
JKU, Linz, Austria2
Computer Engineering Department, İnönü University, Malatya, Turkey2
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA2
Computer and Software Engineering Department, Toros University, Mersin, Turkey2
Department of Computer Engineering, Bogaziçi University, Istanbul, Turkey2
Department of Computer Science, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland2
Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece2
University of Sousse, Tunisia2
Dept. of ECE, B.N.M Institute of Technology, Bangalore, India2
Facebook Inc., Menlo Park, CA, USA2
Department of Informatics, Federal University of Paraná, Curitiba, Brazil2
Computing Department, Federal University of Ouro Preto, Ouro Preto, Brazil2
Department of Computer science and engineering, Walchand College of Engineering, Sangli, India2
Department of Computer Science and Engineering, Toyohashi University of Technology2
Student, Computer Engineering, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India2
CSE Department, Institute of Technology, Nirma University, Ahmedabad - 382 481, Gujarat, India2
Yildiz Technical University, Electronics & Telecommunications Eng. Dpt., Istanbul, Turkey2
INRIA Sophia Antipolis, STARS team, 2004 Route des Lucioles, BP93, 06902, France2
BMW Group Technology Office, 2606 Bayshore Pkwy, Mountain View, CA 94043, USA2
Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu, China2
MIRACL laboratory, ISIMS, BP. 242-3021, Sfax, Tunisia2
Academy of Broadcasting Science, Beijing, P.R. China, 1008662
Computer Science Department at California State University, Fullerton, California, US2
Department of Computer Science and Information Engineering National Taiwan Normal University2
Dept. of Comp. Sci. and Inf. Eng, Chung Hua University, Hsinchu, Taiwan2
Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-18162
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, 689-798, Korea2
Università degli Studi di Milano, Milan, Italy2
Eskişehir Osmangazi University2
Machine Perception Laboratory, University of California, San Diego, La Jolla, 92093, USA2
Department of Electronics and Communication, College of Engineering, Trivandrum, Kerala, India2
School of Information Engineering, Chang’an University, Xi’an, China2
University of California: Berkeley, Berkeley, CA2
Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya, Japan2
University of Southern California-USA2
Eurecom-France2
NCSR Demokritos, Greece2
College of Computer Science and Technology, Wuhan University of Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan, China2
Centre de développement des Technologies Avancées. Cité 20 Aout, Baba Hassen, 16303, Alger, Algérie2
Department of Electrical and Computer Engineering, Isfahan University of Technology, 8415683111 Isfahan, Iran2
Computer Science Department Technical University of Cluj-Napoca2
Odessa National Polytechnic University Odessa, Ukraine2
China Airborne Missile Academy, Luoyang, China2
EEECS/ECIT, Queen’s University Belfast, Belfast, U.K.2
Computer Science and Systems Engineering Department, University of Zaragoza, Spain2
DCC, Pontificia Universidad Católica de Chile, Santiago, Chile2
Electrical Engineering Department, University of Chile, Santiago, Chile2
Université Paris-Saclay, Paris2
SAGE, Advanced Systems in Electrical Engineering, National Engineering School of Sousse(ENISO), University of Sousse, Tunisia2
School of Computing, KAIST2
Department of Informatics, Technische Universität München, 85748 Garching bei München, Germany2
Graduate School of Engineering, Nagasaki University, Nagasaki, Japan2
Institute of Management and Information Technologies, Chiba University, Chiba, Japan2
Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan2
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, 541004, China2
Multimedya Sinyal Analiz Laboratuarı, Elektronik ve Haberleşme Müh. Bl., Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
Department of Electrical Engineering and Computer Science, University of California, Berkeley, USA2
Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes, EA 4108, Institut National des Sciences Appliquées, Rouen, France2
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, 400084, Cluj-Napoca, Romania2
I-TEAM, Universidad Politécnica de Valencia, Valencia, Spain2
Software Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Video Processing and Understanding Lab, Universidad Autónoma de Madrid (Spain)2
College of Electronics and Information Engineering, University of Sichuan, Chengdu, china2
University of Ontario Institute of Technology, Oshawa, ON, Canada2
Intelligent Control Systems Laboratory, Griffith University. Brisbane, Australia2
Digital Image, Audio and Speech (DIAST) Lab, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia2
Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus2
Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India2
Computer Science Department, Technical University of Cluj Napoca2
Panasonic Silicon Valley Laboratory, USA2
Computational Imaging Lab, Department of Technology, University Pompeu Fabra, Barcelona, Spain2
EUP Mataro, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
Department of Computer Engineering, Yazd University, Iran2
Quaid-i-Azam University, Islamabad, Pakistan2
Road Environment Perception Lab., Toyota Central R&D Labs., Inc., Nagakute, Aichi 480-1192, Japan2
Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir2
Department of Computer Science and Engineering, P.A. College of Engineering and Technology, Pollachi, Tamilnadu, India2
Honda Research Institute Europe GmbH, Offenbach am Main, Germany2
Faculty of Information Technology, King Mongkut's Instituteof Technology Ladkrabang, Bangkok, Thailand, 105202
University of Brunei Darussalam, The More-Than-One Robotics Laboratory, Brunei Darussalam2
Wireless Personal Network Team, Electrics and Telecommunications Research Institute, Deajeon, South Korea2
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, MALAYSIA2
Mechatronic Engineering Department, Mevlana University, Konya, Turkey2
ITM University, Gwalior, India2
Department of Computer Science and Engineering, Indian School of Mines, Dhanbad, India 8260042
Delphi Deutschland GmbH2
Bergischen Universitat Wuppertal2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, P. R. China2
American University of Science & Technology, Department of Computer and Communications Engineering, Faculty of Engineering, Beirut, Lebanon2
Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea2
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA2
The University of Texas at Arlington, Arlington, TX, USA2
B. Tech Graduate, ECE, MSIT, C-4 Janakpuri, New Delhi, India2
LIFL University of Lille 1, Telecom Lille 1 institut telecom, Lille, France2
Department of Computer Science, IIT Kanpur2
Department of Computer Applications, National Institute of Technology, Tiruchirappalli, India2
Department of Industrial Engineering, University of Salerno, Fisciano, Italy2
Department of Mechanical Engineering, Politecnico di Milano, Italy2
Elektrik ve Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Turkey2
GREYC, CNRS UMR 6072, Université de Caen, France2
IIT Indore-452020 India2
College of software, University of Science and Technology Liaoning, Anshan, 114051, China2
Dept. of Elect. & Comm. Engg., Birla Institute of Technology, Mesra, Ranchi, India2
Sri Sathya Sai Institute of Higher Learning, Prasanthinilayam, AP, India. 5151342
Seminar for Applied Mathematics, ETH, Zürich, Zürich, Switzerland2
Dept of IT, Bannari Amman Institute of Technology, Sathyamangalam2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, UMR5205, Lyon, 69134, France2
Department of Informatics, Federal University of Paraná, Curitiba, PR, 81531-990, Brazil2
University of Central Lancashire, Preston, United Kingdom2
Linkoping University, Sweden2
Foundation for Research and Technology - Hellas, FORTH, Crete, Greece2
Institute of Clinical Physiology, IFC-CNR, Pisa, Italy2
IKERBASQUE, Basque Foundation for Science, Bilbao, Spain2
Instrument Technology Research Center, National Applied Research Laboratories, Taiwan, Republic of China2
POSTECH, Department of Electrical Engineering, Pohang, Korea2
Dept. SAMBA, orwegian Computing Center, P.O. Box 114 Blindern, NO-0314, OSLO, Norway2
Chiba University, Japan2
Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca' Foscari Venezia - Italy2
Institute for Computer Graphics and Vision, Graz University of Technology - Austria2
Fundamental Science on Communication Information Transmission and Fusion Technology Laboratory, Hangzhou 310018, China2
Digital Imaging & Mobile Devices Department Omron Cooperation, Kusatsu, Japan2
Department of Electronic Engineering Dalian University of Technology, China2
Cybernetics Faculty, Military University of Technology, S. Kaliskiego 2, 00-908 Warsaw, Poland2
Institute of Computer Science, University of Göttingen, Germany2
Computer Science dept. Technion, Haifa 32000, Israel2
Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany2
The Center for Advanced Medical Engineering and Informatics, Japan2
The Graduate School of Information, Production and Systems, Kitakyushu, Japan2
Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia2
Joanneum Research Steyrergasse, Graz, Austria2
DIIn, Department of Industrial Engineering, University of Salerno, Fisciano (SA), Italy2
DAEIMI, University of Cassino, Cassino (FR), Italy2
Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada2
University of Hawaii at Hilo, HI, USA2
Yuncheng University, Shanxi Province, China2
Intel Labs China, Intel Corporation, Beijing, 100086, China2
Group of Biometrics, Biosignals and Security, Research Centre for Smart Buildings and Energy Efficiency (CeDInt), Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain2
Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada2
Pontifícia Universidade Católica do RS, Porto Alegre-RS, Brazil2
Department of Electronics, University of Batna, Batna, Algeria2
Department of Information Science, College of Applied Computer Science, King Saud University (Almuzahmiyah Branch), Riyadh, Saudi Arabia2
Università degli Studi di Salerno, via Ponte don Melillo, 84084, Fisciano, Italy2
Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States2
National Inter-University Consortium for Telecommunications - Florence, Italy2
Institut fur Nachrichtentechnik, Universitat Karlsruhe, Germany2
NUS, Singapore, Singapore2
Medicis team. INSERM U1099, Université de Rennes 1 LTSI, Rennes, France2
Information Engineering and Automation Department, Hebei College of Industry and Technology, Shijiazhuang 050091, China2
Department of Biology, University of North Dakota, Grand Forks, North Dakota 582022
Department of Computer Science, University of North Dakota, Grand Forks, North Dakota 582022
Institute of Telecommunications, Slovak University of Technology, Bratislava, Slovakia2
Visual Computing Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore2
Department of Electrical and Computer Engineering, Virginia Tech., Blacksburg, VA2
Department of Computer Science, University of Jaffna, Sri Lanka2
GIPSA Laboratory, Image and Signal Department, Grenoble Institute of Technology, Grenoble, France2
National Engineering School of Sousse, UR: SAGE-ENISo, University of Sousse, Tunisia2
School of Electronics and Computer Science University of Southampton, Southampton SOl7 1BJ UK2
Tsinghua University and DeePhi2
Dept. of Electrical Engineering, National Institute of Technology, Rourkela, India 7690082
Scripps Institution of Oceanography}, University of California, San Diego2
Department of Computer Science and Engineering2
Computer Vision Center, Barcelona, Spain2
Department of Computer Science and Engineering, POSTECH, Pohang 790-784, Republic of Korea2
Department of Computer Science at Rutgers University, NJ, USA2
College of Computer Science at Chongqing University, Chongqing, PRC2
Department of Applied Geomatics, Ching Yun University, Taoyuan, Taiwan2
Queen's University, Belfast, UK2
Competence Center Identification and Biometrics, Fraunhofer Institute for Computer Graphics Research IGD, Fraunhoferstraße 5, 64283 Darmstadt, Germany2
Civil Aviation University of China, Tianjin, China2
Technische Universität Wien, Austria2
IMIS, Athena R.C., Greece2
Intelligent Systems Laboratory, SECOM, Tokyo, Japan2
Department of Biomedical Engineering, Faculty of Engineering, Srinakharinwijot University, Nakhonnayok, Thailand2
Department of Computer Engineering, MIT Pune, India2
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany2
Department of Technology, Pompeu Fabra University, Passeig de Circumvallació 8, (08031) Barcelona, Spain2
Key Laboratory of Machine Perception (Ministry of Education), Peking Univ., Beijing, China2
Department of Electronic Systems, Vilnius Gediminas Technical University, Vilnius, LT-03227, Lithuania2
Department of Informatics & Telecommunications - National & Kapodistrian University of Athens, Greece2
Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia2
Department of Computer science and Engineering, Government College of Engineering, Amravati (MH), India2
Zhejiang Wanli Univ., Ningbo2
CS Dept., UFMG & Kunumi, Brazil2
Faculty of Science and Technology, University of Souk Ahras, Algeria2
Department of Computer Science, University of Bejaia, Algeria2
Inception Institute of Artificial Intelligence, Abu Dhabi, UAE2
Inst. of Digital Commun., Edinburgh Univ., UK2
Visteon Corporation, Pune, India2
Laval University, Quebec City, Canada2
University of California, Berkeley, EECS Department2
Comput. Vision Lab, Central Florida Univ., Orlando, FL, USA2
SIEMENS S.A.S., SWE RC-FR IC-MOL RA R&D, 92320 Chatillon, France2
GREYC-CNRS (UMR 6072), University of Caen Lower Normandy, France2
Purdue Univ., West Lafayette, IN, USA2
DMI College of Engineering Palanchur, Chennai, Tamilnadu2
Department of Computer Science and Numerical Analysis, University of Córdoba, Spain2
Department of Information Science and Technology, Jinan University, Guangzhou, China2
Leibniz Universität Hannover, Hannover, Germany2
Instituto de Telecomunicações & Faculdade de Ciěncias da Universidade do Porto2
Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK2
NEC Corporation, Data Science Research Laboratories, Shimonumabe Nakahara-Ku, Kawasaki Kanagawa, 1753, Japan2
Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications 400065, China2
University of Ulsan, Graduate School of Electrical Engineering, Korea2
University of Science, Vietnam2
Le2i UMR 6306, CNRS, University of Burgundy, France2
National Institute of Advance Industrial Science and Technology, Tsukuba City, Ibaraki, Japan2
Department of Computer and Operations Research, University of Montreal, Montreal, Canada2
Faculty of Electrical Engineering, University Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia2
Inf. Syst. Dept., Buckingham Univ., UK2
TUBITAK BILGEM (TUBITAK Centre of Research for Advanced Technologies of Informatics and Information Security), Turkey2
Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan, R.O.C.2
Department of Electrical, Computer and Software Engineering, University of Ontario, Institute of Technology, Canada2
Beijing University of Civil Engineering and Architecture, Beijing, China2
The University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information2
Department of Electrical Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 305-701, Republic of Korea2
NICTA, Locked Bag 8001, Canberra, Australia2
JOANNEUM RESEARCH, Graz, Austria2
Laboratory of LESIA, University of Biskra, Algeria2
Faculty of Electrical Engineering, UniversitiTeknologi MARA, 40450, Shah Alam, Selangor, Malaysia2
Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Russia2
University of Montreal, Department of Computer Science and Operations Research (DIRO), 2920 Chemin de la tour, QC, Canada, H3C 3J72
SITI Laboratory, National Engineering School of Tunis (ENIT), University of Tunis El Manar, Tunis, Tunisia2
Georgia Tech Research Institute, USA2
New Mexico Consortium, Los Alamos, USA2
PAL Robotics, Barcelona, Catalunya, Spain2
Mitsubishi Electric Research Labs (MERL), Cambridge, MA 02139, USA2
University of California at Merced, Merced, USA2
Technische Universität München, Garching, Germany2
Department of biomedical engineering, Amirkabir University of technology (Tehran Polytechnic), Tehran, Iran2
Thiagarajar College of Engineering, Madurai, TN 625015 India2
Department of Computer Engineering, G. H. Raisoni Collage of Engg and Technology, Pune, India2
School of Engineering and Computing, University of the West of Scotland, Paisley, U.K.2
Department of Electrical Engineering, University of Texas, Arlington, TX, USA2
Netaji Subhas Inst. of Technology, New Delhi, India2
Université Jean Monnet, Laboratoire Hubert Curien - UMR CNRS 5516, 18 rue du Professeur B. Lauras, 42000 Saint-Etienne, France2
Faculty of Information Technology, University of Science - VNUHCM, Ho Chi Minh city, Vietnam2
LEAD Graduate School and Research Network, University of Tübingen, Tübingen, Germany2
College of Computer Science and Technology Wuhan University of Science and Technology, Wuhan, China2
Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey2
Department of Computer Science, College of William and Mary, Williamsburg, VA2
Indiana University of Pennsylvania, Indiana, PA2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
M.S. Ramaiah Institute of Technology, Bangalore, India2
Department of Electronics and Communication, Sri Jayachamarajendra College of Engineering, Mysuru, India2
Dept. of ECE, Mepco Schlenk Engineering College, Sivakasi, India2
Anglia Ruskin IT Research Institute, Anglia Ruskin University, Chelmsford, U.K.2
Intelligent Cognitive Technology Research Department, ETRI Daejeon, Korea2
Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologia, Monte de Caparica, Portugal2
CNRS, Irisa & Inria Rennes2
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 778432
Fraunhofer-Institute for Integrated Circuits, Erlangen, Germany2
National Institute of Informatics, Japan, Tokyo, Japan2
SELEX - Sistemi Integrati S.p.A., A Finmeccanica Company, Rome, Italy2
Faculty of Physics and Applied Informatics, University of Lodz, Pomorska str. 149/153, Lodz, Poland2
Department of Computer Science and Applications, Bangalore University, India2
Department of Computer Science and Egg., Sri Jayachamarajendra College of Engineering Mysore-570006, India2
University of Huddersfield, Huddersfield, West Yorkshire, UK2
Hankou College, Wuhan, China2
Norwegian Biometrics Laboratory, NTNU, Gj⊘vik, Norway2
SATIE, Université Paris-Sud, Université Paris-Saclay, France2
Robert Bosch GmbH, Stuttgart, Germany2
Epson Research and Development, Inc., 214 Devcon Drive, San Jose, CA 951122
Centre de Visió per Computador. Universitat Autònoma de Barcelona, 08193, Spain2
La Salle, Universitat Ramon Llull. Barcelona 08022, Spain2
Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA2
Department of Computer Science & Engineering, Bapurao Deshmukh College of Engineering, Sevagram, Wardha, RTMNU, Nagpur, India2
CSIRO-Data61, Canberra, Australia2
Istituto Italiano di Tecnologia (IIT) & Università di Torino, Genova, Italy2
Istituto Italiano di Tecnologia (IIT) & Università degli Studi di Genova, Genova, Italy2
Fac. of Sci., Amsterdam Univ., Netherlands2
Visual Inf. Process. Group, Imperial Coll. London, UK2
INRIA - Willow Project, Laboratoire d'Informatique, École Normale Supérieure, France2
IBM Research-China, Beijing, China2
Sch. of Inf., Wuyi Univ., Guangdong, China2
Xi An Jiaotong University, China2
Department of Digital Media, Catholic University of Korea, Bucheon, South Korea2
The Interdisciplinary Center Herzliya, Israel2
Computer Engineering Department, Galatasaray University, Istanbul, 34349, Turkey2
School of Computer Science and Technology, Tianjin University&Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin, China2
Computer Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran2
Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Romania2
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye2
Department of Computing, Informatics institute of Technology, Colombo, Sri Lanka2
Assembly and Test Technology Development, Intel Corporation, Chandler, AZ, USA2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, Ecully, France2
Jiangsu Automation Research Institute, Lianyungang, Jiangsu Province, 222061, China2
Department of Computer Science, University of Missouri-Columbia, Columbia, MO, USA2
Image Processing and Analysis Laboratory, Applied Electronics and Information Engineering Department, University “Politehnica” of Bucharest, Romania2
Vellore Institute of Technology, Chennai, Tamil Nadu2
National Institute of Technology, Rourkela2
ENET'COM-SFAX, Tunisia2
Graduate School of Engineering, Department of Design and Media Technology, Iwate University, Iwate, Japan2
Department of Computer Engineering, King Mongkut's University of Technology Thonburi, 126 Pracha-uthit Rd., Bang-mod, Thung-Khru, Bangkok 10140, Thailand2
Liverpool University, UK2
Robert Bosch GmbH, Hildesheim, Germany2
Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand2
Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan2
Division of Advanced Information Technology & Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, 184-8588 Japan2
Department of Computer Science, Chu Hai College of Higher Education, Hong Kong2
École de technologie supérieure, Université du Québec, Montreal, Canada2
Department of Mechanical and Electronic Engineering, Henan Polytechnic Institute, Nan yang, China2
Renault S.A.S, 1av. du Golf, Guyancourt, 78288, France2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitési2
Research Institute for Optronics and Pattern Recognition, Ettlingen, Germany2
Department of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India2
University of California, Berkeley, USA2
Electrical Engineering Department, Sahand University of Technology, Tabriz, Iran2
Department of Computer Science, George Mason Univerisity, Fairfax, VA 22030, USA2
MRT/KIT Karlsruhe, Germany2
ICMC/USP Sao Carlos, Brazil2
Harcourt Butler Technological Institute, Kanpur, INDIA2
Department of Computer Science & Engg., Rama University, Kanpur, INDIA2
Social Robotics Lab, Dept. of Computer Science, University of Freiburg, Germany2
ETH Zurich2
Anadolu Üniversitesi Elek. Elektronik, Mühendisliği Bölümü Eskişehir, Türkiye2
Bilgisayar Mühendisliği Bölümü, Deniz Harp Okulu, İstanbul, Türkiye2
Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA2
School of Engineering Newcastle University, ISC Research Group, UK2
Centre for Research and Technology Hellas, Information Technologies Institute 57001, Thessaloniki, Greece2
School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China2
Engineering Mathematics - Computer and Systems Engineering2
College of Information and Software Engineering, Northeast Normal University, Changchun, China2
CNRS Heudiasyc UMR 7253, Université de Technologie de Compiègne, Compiègne, France2
SUPELEC/IETR, Team SCEE, France2
BioCom - Bioinspired Computing Laboratory, Department of Computer Science, University of Sao Paulo, Brazil2
Center of assistive Research Technologies (CART), Engr. College, WSU, Dayton, OH2
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore Block S2.1, 50 Nanyang Avenue, Singapore 6397982
DIIn, University of Salerno, via Giovanni Paolo II, 132, Fisciano - Italy2
Department of Mechanical Engineering, Politecnico di Milano, via La Masa, 1, Italy2
DIEI, University of Cassino and of Southern Lazio, (FR) - Italy2
Enformatik Enstitüsü, Orta Doğu Teknik Üniversitesi, 06800, Ankara, Türkiye2
Department of Electronic Engineering, Kwangwoon University, Seoul, Republic of Korea2
Department of Computer and Information Sciences, Northumbria Univeristy, Newcastle upon Tyne, UK2
Academia Sinica, Taipei, Taiwan and National Taiwan University, Taipei, Taiwan2
Sch. of Electron. & Comput. Sci., Southampton Univ., UK2
Università degli Studi di Verona, Verona, Italy2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, UK2
Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea2
School of Computer Science, China University of Geosciences, Wuhan, 430074, China2
CEA, Gif-Sur-Yvette, France2
UMR CNRS - Univ. Bourgogne, Dijon, France2
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pom-peu Fabra - UPF, Roc Boronat, 138 - 08018 - Barcelona, Spain2
College of Automation, Nanjing University of Posts and Telecommunications, China2
CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France2
Sch. of Software, Tsinghua Univ., Beijing, China2
DISI University of Trento, Povo - Italy2
Institute of Software, Dalian Jiaotong University, China2
Computer Sciences at The University of Texas at Austin, 78712, USA2
Institute of Automatic Control, Silesian University of Technology, Akademicka 2A, Gliwice, Poland2
Electrical & Electronic Engineering Department, Mevlana University Konya, Turkey2
Department of Computer Science & Engineering, National Institute of Technology Meghalaya, Meghalaya, India2
DGIST, Hyeonpung-Myeon, Dalseong-Gun Daegu, South KOREA2
Dept. of Electronics and Multimedia Telecommunications, Technical University of Kosice, Kosice, Slovakia2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-452020 India2
Department of Computer Science, University of Mauritius, Reduit, Mauritius2
Department of Computer and Information Sciences, Jinling Institute of Technology, Nanjing, China2
Baidu2
Dept. of Imaging Sci. & Biomed. Eng., Manchester Univ., UK2
Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH, USA2
Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105202
School of Electrical Engineering and Informatics, Department of Computer Science, Bandung Institute of Technology, Bandung, Indonesia2
Biometric and Imaging Processing Laboratory (BIPLab)2
Research and Academic Computer Network (NASK)2
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, Evry Cedex, France2
Toyota InfoTechnology Center, U.S.A., Inc.2
Carmine Senatore Exponent, Inc.2
The University of Minnesota, Minneapolis, MN, USA2
Technische Universität Darmstadt, Darmstadt2
Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India2
Facebook AI Research (FAIR), Menlo Park, USA2
IBM Research Lab, China2
Samsung Research & Development Institute, Bangalore, India2
The University of the West Indies, Mona Campus, Kingston 7, Jamaica, W.I.2
Department of Applied Mathematics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil2
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amrita School of Arts and Sciences, Mysuru Campus, Karnataka, India2
Pennsylvania State University, University Park, PA2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
Toyota Technological Institute at Chicago2
TTI-Chicago, USA2
Learning Affect and SemantIc Imaging (LASII) Group, Indian Institute of Technology Ropar, India2
Department of CS&E, IIT Madras, India2
Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan2
Dept. of Computer Science University of Illinois Urbana-Champaign (UIUC)2
Dept. of Electrical Engineering, Indian Institute of Science Bengaluru, India2
Member2
ETH Zurich, Zurich2
Ind. Technol., Purdue Univ., West Lafayette, IN, USA2
AI Institute of Qihoo 360, Beijing, China2
Department of Electrical Engineering, National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.2
Department of Geography, George Washington University, USA2
Malviya National Institute of Technology Jaipur, India-3020172
Institute of Telecommunications, Slovak University of Technology Bratislava, Slovakia2
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, 430073, China2
PES Center for Pattern Recognition, PESIT- Bangalore South Campus, India2
Elektrik ve Elektronik Mühendisliği Bölümü, Makine ile Öğrenme ve Bilgisayarlı Görü Laboratuvarı, Eskişehir Osmangazi Üniversitesi2
Digital Media Lab, Department of Applied Physics and Electronics, Umeå University, 901-87, Sweden2
Institute of Automation, CAS, Beijing, China2
Faculty of Engineering & IT University of Technology, Sydney, Australia2
Queensland University of Technology (QUT), Australia2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, Turkey2
Microsoft Research Asia2
Institute of Electronics and Computer Science, Riga, Latvia2
Department of Perception Engineering, University of Tuebingen, Germany2
Human-Machines Interaction (HMI) Laboratory, Department of Industrial Informatics, TEI of Kavala, Kavala, Greece2
Labged Laboratory, Computer Science Department, Badji Mokhtar Annaba University, Algeria2
LAAS-CNRS and Universite Paul Sabatier, Toulouse, France2
Department of Computer Science, Universidade Federal de Minas Gerais – UFMG 31270-010, Belo Horizonte, MG – Brazil2
Dept. of Electrical Engineering, Future Institute of Engineering and Management, Kolkata -700150, India2
College of Engineering, Center of Engineering Technology, Graduate University of the Chinese Academy of Sciences, Beijing, China2
Electrical Engineering Department, University of São Paulo, São Carlos, Brazil2
Computer Science & Engineering Department B.T.K.I.T Dwarahat Almora, India2
Technical University of Sofia, 8 Kl. Ohridski blvd., Sofia 1000, Bulgaria2
University of Benghazi, Faculty of Information Technology(IT), Libya2
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Università degli Studi di Milano–Bicocca, Milano, Italy2
EUP Mataró, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
Govt. College of Engineering, Amravati, India2
Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Institute for Autonomous Systems Technology(TAS), University of the Bundeswehr Munich, 85577 Neubiberg, Germany2
School of Software, Henan University, Kaifeng, China2
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, 70569 Stuttgart, Germany2
LAMIA, EA 4540, University of French West Indies & Guyana2
Harbin University of Technology2
Merses, Center for Applied Research, Pforzheim University, Germany2
Dept. of Computer, Control and Mgmt. Engineering, University of Rome La Sapienza, Italy2
General Motors Advanced Technical Center, Hamada 7, Herzliya, Israel2
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China2
College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China2
MPSTM, NMIMS University, Mumbai2
Sorbonne universités, Université de technologie de Compiègne, CNRS 7253 UMR/Heudiasyc. CS 60319, 60203 Compiègne cedex2
Department of Computational Mechanics, Faculty of Mechanical Engineering, University of Campinas. Rua Mendeleyev, 200 - CEP 13083-860 Cidade Universitária Zeferino Vaz - Campinas - SP2
Enjoyor Labs, Enjoyor Inc., Hangzhou, China2
University of Bochum, Institute for Neural Computation2
UNESP - São Paulo State University, Bauru, São Paulo2
TU Dortmund, Pattern Recognition in Embedded Systems Group, Dortmund, Germany2
Chair of Materials Handling and Warehousing2
Norwegian Biometric Laboratory, Norwegian University of Science and Technology (NTNU), Gjøvik, Norway2
U.S. Army Research Laboratory, Adelphi, MD, USA2
NEC Labs America2
Department of Computer Science and Electrical Engineering, University of Michigan at Ann Arbor, Ann Arbor, MI 48109, USA2
Université de Technologie de Compiègne (UTC)2
Department of Computer Science, Texas State University, San Marcos, TX, USA2
Center of Modern Education Technology, Changchun Chinese Medicine University, 130051, China2
School of Information and Engineering, Wenzhou Medical University, Wenzhou, China2
Department of Computer Engineering, CGPIT, Uka Tarsadia University, Bardoli, Surat, India2
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA2
Indian Institute of Technology Ropar, India2
University of Central Florida School of Electrical Engineering and Computer Science, Orlando, FL2
University of Evry Val d’Essonne, IBISC (Informatics Integrative Biology and Complex Systems) Lab., 40 rue du Pelvoux, 91025, Evry, France2
College of Graduate Studies, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang, Selangor, Malaysia2
Department of Advanced Systems Control Engineering, Saga University, Japan2
Department of Computer Engineering, Sejong University, Gwangjin-gu, Seoul, Korea2
Szczecin University of Technology, Szczecin, Poland2
Face Aging Group, Department of Computer Science, UNC Wilmington, Wilmington, USA2
Imaging Science and Engineering Lab, Tokyo Institute of Technology-Japan2
Image Processing and Interpretation, University of Gent2
Technical University of Sofia, 8 blvd. Kliment Ohridski, Sofia 1756, Bulgaria2
University of Colorado Boulder, Boulder, USA2
Department of Instrumentation and Control, College of Engineering Pune, India2
Signal Processing Group, Basis of Electronics Department, Faculty of Electronics, Telecommunications and Information Technology, Technical University of Cluj-Napoca, Cluj-Napoca, 400114, Romania2
Comuter Science Department, TU-Darmstadt, Germany2
Dept. of Comput. Sci. & Eng., Inha Univ., Incheon, South Korea2
Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, Ultimo, NSW, Australia2
Department of Communication Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Taoyuan County 320, Taiwan +886-3-4638800 ext. 73232
UC Berkeley, USA2
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia2
Electrical Engineering Department Jadavpur University Kolkata, India2
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran2
Department of Electronics & Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476672
Faculty of Computer and Mathematical Sciences, MARA University of Technology (UiTM), 40400 Shah Alam, Selangor, Malaysia2
Computer Engineering Kyung Hee University Yongin-si, South Korea2
Gipsa-Lab, Saint-Martin d'Hères, France2
Research Center for Information Technology Innovation, Taipei, Taiwan2
Department of ECE, National Institute of Technology, Rourkela (Odisha), India2
University of Science and Technology Beijing, Beijing, China2
School of Information Science and Technology, Beijing Institute of Technology, China2
School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia2
Nanjing Tech University, Nanjing, China2
School of Information Engineering, University of Science and Technology Beijing, 100083, CHINA2
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences, Beijing 100049, China2
Sapientia Hungarian University of Transylvania, Hungary2
Faculty of Computer Science, University of Karlsruhe (TH), 76131 Karlsruhe, Germany2
King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand2
Yahoo! Labs, Haifa, Israel2
Department of Information Technology, R. A. I. T, Nerul, Navi Mumbai, India2
Dept. of ECE, Maryland Univ., College Park, MD, USA2
Elektrik ve Elektronik Mühendisliği Bölümü, Bogaziçi Üniversitei2
Intel Corporation, Hillsboro, OR 971242
Department of Mathematics and Computer Science, Gannan Normal University, Ganzhou, People’s Republic of China2
Institute for Infocomm Research at A*STAR, Singapore2
DISI - Università degli Studi di Genova, Via Dodecaneso 35 - I16146 - Italy2
Indian Statistical Insitute, Kolkata 7001082
School of Information, Linyi Normal University, 276005, China2
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, UK2
Computer, Electronic and Security Research Group, University of Northumbria2
B-DAT Laboratory, School of Information and Control, Nanjing University of Information and Technology, Nanjing, China2
Group Research, Daimler AG, Ulm, Germany2
DITEN, University of Genova, Italy2
Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam2
Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, United States2
BTU Cottbus-Senftenberg, Chair of Automation Technology, Cottbus, Germany2
IETR/UMR CNRS 6164, INSA, Rennes, France2
University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam2
Dept Computer Science, Dept Mathematics and Statistics, HIIT, University of Helsinki2
Luohu Branch, Shenzhen Municipal Public Security Bureau, Guangdong, China2
School of Computing, Informatics and Media, University of Bradford, Bradford, UK2
School of Electrical and Computer Engineering, Universidade Estadual de Campinas, São Paulo, Brazil 13083-8522
Vrije Universiteit Amsterdam, Amsterdam, NL2
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW 2007, Australia2
Dept. of Telecommunication, Siddaganga Institute of Technology (SIT), Tumkur, India2
Department of Informatics and Telecommunications, University of Athens, Athens, Greece2
St. Pölten University of Applied Sciences2
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Türkiye2
Machine Learning and Computer Vision Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, West-Java Indonesia2
College of Machatronics Engineering, National University of Defense, Chang Sha, China2
Department of Electrical Engineering, IIT Hyderabad, Kandi, Telangana, 502285, India2
School of Design, Zhejiang Wanli University, Ningbo, China2
Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Graduate University of Chinese Academy of Sciences, Beijing, China2
College of Information Science and Engineering Ritsumeikan University, Kusatsu, Japan2
Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia2
Universidad Tecnica Federico Santa Maria, Department of Electronic Engineering, Valparaiso, Chile2
EAVISE, Technology Campus De Nayer, KU Leuven, Belgium2
School of Information and Engineering, Wuyi University, Jiangmen 529020, Guangdong, China2
Department of Electrical and Electronic Engineering University of Hong Kong, Hong Kong Hong Kong, China2
School of Computer Science, Reykjavik University, Reykjavík, Iceland2
Carnegie Mellon University (CMU)2
Broadcasting & Telecommunications Media Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea2
ESAT - PSI, iMinds, KU Leuven, Leuven, Belgium2
Computer Science Department, University of Mossouri, 65211, USA2
Delhi Technological University, Delhi2
University of Udine, Via Delle Scienze, 206, 33100, Udine, Italy2
State Grid Zhejiang Electric Power CO. LTD, China2
Gazi Üniversitesi, Turkey2
Intelligent Fusion Technology, Inc, Germantown, MD, USA2
Philips Research, Eindhoven, The Netherlands2
School of Information Science and Technology, Huizhou University, Huizhou, China2
Centre for Development of Advanced Computing, Mumbai, India2
Xerox Research Centre Europe, Meylan, France2
Miovision Technologies Inc., Kitchener, Canada2
Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands2
Centre de Développement des Technologies Avancées, Algeria2
Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, ITALY2
Electrical Engineering Department AmirKabir University of Technology Tehran, Iran2
Institut Fresnel, Université de Marseille, Marseille, France2
Department of Computer Science, The University of Liverpool, Liverpool, UK2
Laboratory for Pattern Recognition and Computational Intelligence, University of Applied Sciences Aschaffenburg, Germany2
Center for Artificial Intelligence and RObotics (CAIRO), Aswan University, Sahari 81528, Egypt2
Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Human Machines Interaction (HMI) Laboratory, 65404 Kavala, Greece2
School of Computer Science and Engineering, The University of Aizu, Japan, Tsuruga, Ikkimachi, Aizuwakamatsu-city, Fukushima prefecture, 965-8580 Japan2
Infotech Oulu, Oulu Univ., Finland2
Computer Vision Laboratory, University of Sassari, Italy2
A*STAR, Singapore2
Computer and Automation Research Institute H-1111, Kende u. 13-17, Budapest, Hungary2
School of Computer and System Science, Jawaharlal Nehru University, New Delhi, India2
Key Laboratory of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, China2
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore2
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102
The Australian National University RSCS, ANU, Canberra, Australia2
Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shanghai, China2
Sensing and Industrial Imaging, Siemens Corporate Technology, Munich, Germany2
Multimedia Communications and Signal Processing, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany2
Dept. of Electrical Engineering, LUMS, Pakistan2
Thales, Moirans, France2
IIIT Bangalore, India2
Institut de Robòtica i Informàtica Industrial (CSIC-UPC)2
Başkent University, Ankara, TURKEY2
College of Information Science and Technology, Nanjing Forestry University, Nanjing, China2
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China2
OSRAM GmbH, Germany2
Intel, Nizhny Novgorod, Russia2
National Research Council, Italy2
Team of research SIIVA - RIADI laboratory, Institut supérieur d'informatique (ISI), Tunisia2
Distributed Events Analysis, Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary2
Faculty of Computer Engineering, Shahid Rajaee Teacher Training University. Shabanlou, Lavizan, Tehran, Iran2
Friedrich Schiller University Jena, Jena, Germany2
Institute for Inforcomm Research 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386322
NRU Higher School of Economics, Moscow, Russia2
ATR Center, Wright State University, Dayton, Ohio2
National University of San Agustin - UNSA, Arequipa - Peru2
GSI Universidad Polit-écnica de Madrid, Madrid, Spain2
Samsung Electronics, Korea2
Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Sivakasi, India2
Automobile Transport Command Department, Military Transportation University, Tianjin, China2
School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China2
Nesamony Memorial Christian College, Marthandam - 629165, Tamil Nadu, India2
Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland2
Electronics and Telecommunications Research Institute, Daejeon, 34129, Korea2
Fac. of Inf. Sci. & Technol., Multimedia Univ., Melaka, Malaysia2
Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, P.R. China2
Department of Electrical Engineering & Computer Science, University of Kansas, Lawrence, 66045-7621, USA2
School of Business Northwest Normal University, Lanzhou, China2
University Sidi Mohamed Ben Abdellah, Faculty of Sciences and Technology, Laboratory of Renewable Energies and Intelligent Systems, Fez, Morocco2
University of the Bundeswehr, Munich Werner-Heisenberg-Weg, 39 85577 Neubiberg, Germany2
German Research Center for Artificial Intelligence (DFKI GmbH), Saarland Informatics Campus, Saarbrücken, Germany2
College of Computer and Information Engineering, Henan University, Kaifeng, China2
Johnson Controls Inc., Milwaukee, Wisconsin2
Université de Toulouse ; UTM-IUT de Figeac ; LRP-mip (Laboratoire de recherche pluridisciplinaire du nordest de Midi-Pyrénées) ; Avenue de Nayrac, F-46100, FIGEAC, France2
CRISTAL laboratory, GRIFT research group, National School of Computer Sciences (NSCS), La Manouba 2010, Tunisia2
Department of Computer Science, Chengdu University of Information Technology, Chengdu, China2
POSTECH Pohang, Republic of Korea2
Ocular Imaging Department, Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore2
Laboratory for Sensor and Modeling, Department of Geoinformatics, University of Seoul, Seoul, Korea2
Signal Processing Lab, IEETA / DETI University of Aveiro, 3810-193 Aveiro, Portugal2
Video Surveillance Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK2
School of Electrical and Information Engineering, Shanghai University of Electric Power, Shanghai, China 2000902
Language Technologies Institute, Carnegie Mellon University Universidade NOVA Lisboa, Pittsburgh, USA2
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam-7880102
Koc University, Istanbul, Turkey2
Merses Center for Applied Research, Pforzheim University, Germany2
Department of Electrical Engineering, 43 Sec.4 Keelung Rd., Taipei, Taiwan2
Escola Superior de Saude de Alcoitão, Alcoitão, Portugal2
Universidade NOVA Lisboa, Caparica, Portugal2
Research&Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai 201804, P.R China2
IT Department, SSN College of Engineering, Chennai, India2
INRIA Grenoble Rhône-Alpes, France2
Graduate School of Electrical Engineering, University of Ulsan, 133-791, Korea2
Universidade Federal do Paraná, Curitiba, Brazil2
Dept. of Appl. Phys. & Electron., Umea Univ., Sweden2
College of Information Engineering, Shenzhen Graduate School of Peking University, Shenzhen, China2
Department of Electrical and Electronics Engineering, Bharati Vidyapeeth's College of Engineering, New Delhi, India2
Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria2
Institute of Robotics and Automatic Information System, Tianjin Key Laboratory of Intelligent Robotics, Nankai University, Tianjin, China2
Precise Positioning and Analytics Department, Fraunhofer Institute for Integrated Circuits IIS Nürnberg, Nürnberg, Germany2
Programming Systems Group (Informatics II), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany2
School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines2
Department of Computer Science and Engineering, National Taiwan Ocean University, No.2, Beining Rd., Keelung 202, Taiwan2
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China2
Nanotechnology and Integrated Bio-Engineering Centre (NIBEC), Faculty of Computing and Engineering, University of Ulster (Jordanstown campus), Northern Ireland2
Department of Computer Science, St Joseph Engineering College, Vamanjoor, Mangaluru2
Dept. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, China2
BestImage Lab, Tencent Co., Ltd., Shanghai, China2
Modelling and Digital Science, Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa2
IIT Madras, Adyar, Chennai, Tamil Nadu, India2
Pandit Dwarka Prasad Mishra and Indian Institute of Information Technology, Design & Manufacturing, Jabalpur - 482 0052
School of information engineering, university of science and technology, Beijing, 100083, China2
DTIS, ONERA, Université de Paris Saclay, Palaiseau, F-91123, France2
More-Than-One Robotics Laboratory, University of Brunei Darussalam, Brunei Darussalam2
Faculty of Electrical, Electronic, Computer and Control, Engineering - Computer Science, Lodz University of Technology, Lodz, Poland2
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, USA2
Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece2
Dept. of IT CEC, Landran, Mohali, India2
Luoyang Electro-Optical Equipment Research Institute, Luoyang, People’s Republic of China2
Department of Electrical engineering, Graduate university of Advanced Technology, Kerman, Iran2
Research & Innovation Center, Ford Motor Company2
Computer Science and Engineering, Rajshahi University of Engineering and Technology2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Gutleuthausstrasse 1, 76275 Ettlingen, Germany2
DIBRIS - Università degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)2
School of Computer and Communication, LanZhou University of Technology, LanZhou, China2
Instituto de Tecnologia - UADE, Buenos Aires, Argentina2
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Japan2
Institute of Informatics, Federal University of Rio Grande do Sul, Brazil2
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil2
Hewlett-Packard Laboratories, Palo Alto, CA, USA2
Department of Electronics and Communication Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India2
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10.2
D.Y. Patil college of engg., Akurdi, Pune2
Telecom ParisTech, CNRS-LTCI, 46 rue Barrault, 75013 Paris, France2
School of Science and Engineering, Meisei University, Hodokubo, Hino-city, Tokyo, Japan2
The Department of Measurement, University of Ulm, Control and Microtechnology, Ulm, 89081, Germany2
Daimler AG, Research and Development, Ulm, 89081, Germany2
School of Engineering, Computing & Science, Swinburne University of Technology, Kuching, Malaysia2
School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China2
Technical University of Munich, Munich, Germany2
Robert Bosch GmbH, Renningen, Germany2
Idiap, Switzerland2
EyeVerify, Inc., Kansas City, USA2
Sullivan Nicolaides Pathology, Australia2
School of Electricity and Electron Engineering, Changchun University of Technology, Changchun China2
Image Processing and Computer Vision Group, Computer Science Department, Universidad de Buenos Aires, Argentina2
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran2
School of Computer Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu2
Faculty of Electrical Engineering, Federal University of Uberlândia, Brazil2
Institute for Information Technology and Communications, University of Magdeburg, Germany2
The University of Texas at Arlington, USA2
Instituto de Investigaciones en Ingeniería Eléctrica, Departamento de Ingeniería Eléctrica y de Computadoras, Universidad Nacional del Sur (UNS)-CONICET, Argentina2
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland2
School of Computer and System Sciences, Jawaharlal Nehru University, New Delhi, India2
Islamic University of Technology, Gazipur-1704, Bangladesh2
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India2
Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, Türkiye2
Department of Computer Science and Information Engineering, National Taipei University of Technology Taipei 10608, Taiwan2
South Valley University, Qena, Egypt2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, People’s Republic of China2
School of Comm. and Info. Engineering, Beijing University of Posts and Telecom., China2
Microsoft Research Ltd., Cambridge, UK2
Defence Research and Development Canada, Valcartier, Quebec2
UK Defence Science and Technology Laboratory, Porton, Salisbury, UK2
Department of Computer Science, University of Otago, Dunedin, New Zealand2
School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China2
Ningbo University, Ningbo, China2
Univ. of Cambridge, Computer Laboratory2
Center for Forensics, Biometrics and Privacy, Faculty of Organization and Informatics, Varaždin, Croatia2
Electronics and Computer Science, Southampton University, UK2
Dalian Key Lab of Digital Technology for National Culture, Dalian MinZu University, Dalian, 116600, China2
Dept. of Language, Literacy, and Sociocultural Studies, University of New Mexico, United States2
image and video Processing and Communications Lab (ivpcl.unm.edu), University of New Mexico, United States2
E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Ciudad Real, Spain2
Metaio GmbH2
Denso Corporation, Kariya, Japan2
Research Center of Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Department of System Architecture, ZTE Corporation, Shenzhen, China2
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10 Turkey2
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand2
Dept. Electronic Engineering, Natuonal University of Ireland, Galway2
Gwangju Institute of Science and Technology, School of Electrical Engineering and Computer Science, Gwangju, Korea2
CSE Department Chandigarh University, Gharuan Mohali, Chandigarh2
University of California at Irvine, Irvine2
School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China2
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel2
School of Mathematical Science, UCAS, China2
Dept. of Electronic and Communication Engineering Hanyang University ERICA2
Institut TELECOM ; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France2
The University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, Canada2
TÜBİITAK-BİILGEM-UEKAE, Anibal Cad., P.K.74, 41470, Gebze-KOCAELİ, Turkey2
Computer Science Institute, Hochschule Ruhr West, Germany, Bottrop 462402
Department of Computer Science, University of Verona, Verona - Italy2
DGIST2
Department for Technology, Innovation and Enterprise, Singapore Polytechnic, Singapore 1396512
Academy of Broadcasting Science, No.2 Fuxingmenwai Road, Xicheng District, Beijing, China2
National Engineering Research Center for E-Learning, Central China Normal University2
Data Analytics and Computer Vision Department, PARC, a Xerox Company, Webster, NY, USA2
Department of Electrical Engineering, National Chaio Tung University, Hsinchu, Taiwan2
Department of CSE, GGITS, Jabalpur2
School of Computing, Queen's University, Kingston, Canada2
Dept. of Computer Science, University of Illinois Urbana-Champaign (UIUC), USA2
University of Vigo, Spain2
Department of Electrical Engineering Indian Institute of Technology Delhi New Delhi, India2
Department of Electronics and Communication Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Electrical Engineering Malaviya National Institute of Technology Jaipur, Rajasthan, India2
Department of Computer Science, Rhodes University, Grahamstown, South Africa2
IRISA (CNRS, Univ. Rennes 1), Campus de Beaulieu, Rennes, France2
Instituto de Ciências Exatas e Informática, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, Brazil2
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil\2
Technical University of Cluj Napoca2
Department of Information and Control, Nanjing University of Information Science & Technology, Nanjing, China2
School of Computer Science and Technology2
Instituto de Ciências Matemáticas e de Computação, University of São Paulo, Brazil2
Deptartment of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow - 226 021, India2
Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia2
Media Computing Group, Microsoft Research Asia, Beijing, China2
College of Informatics, Huazhong Agricultural University, Wuhan P.R. China 4300702
University of Thessaly Dept. of Computer Science and Biomedical Informatics, Papasiopoulou, Lamia, Greece2
Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye2
Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye2
LIVIA, École de technologie supérieure, Université du Québec, Montréal, Canada2
Istituto Italiano di Tecnologia2
University of Verona2
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China2
Technical University of München, Garching, Germany2
University of Bern, Bern, Switzerland2
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom2
Korea Advanced Institute of Science and Technology School of Electrical Engineering2
Department of Computer Science, University of Texas, San Antonio, TX, USA2
Universidad Autónoma of Madrid (Spain)2
Intelligent Vehicle IT Research Center at Seoul National University, Seoul, South Korea2
Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA2
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway2
Department of Computer Science, Thomas J. Watson School of Engineering and Applied Science, SUNY Binghamton University, Binghamton, NY2
Department of Computer Science, CUNY Graduate Center, New York, NY2
DEIS, University of Bologna, Cesena, Italy2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy2
Dept. of Computer & Communication Engineering, Daegu University, Gyeongsan-City, 38453, South Korea2
School of Educational Information and Technology, Central China Normal University, Wuhan, China2
Deptartment of CSIE, Chung-Hua University, Hsinchu, Taiwan2
Visual Learning and Intelligence Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Hyderabad, Hyderabad, India2
ACL Laboratory at Sharif University of Technology2
Captial Normal University, Beijing2
Universitat de Barcelona, Spain2
Computer Vision Center (UAB), Spain2
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA2
Virginia Tech, USA2
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, 33204 Gijón, Spain2
SINERCO, Rendueles Llanos 8, 33205 Gijón, Spain2
Toyota Technological Institute at Chicago, Chicago, IL, USA2
Toyota Technological Institute, Nagoya, Japan2
Department of Physics and Electronics, Beijing University of Chemical Technology, Beijing, China2
Huizhou University, Huizhou, China2
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China2
Ars Electronica Futurelab, Linz, Austria2
Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China2
GE Healthcare, London, ON, Canada2
University of Califonia, Berkeley, Berkeley, CA, USA2
P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation2
Yahoo Labs, San Francisco, USA2
Guizhou Provincial Key Laboratory of Public Big Data, Guizhou University, Guiyang, China2
Kitware Inc., Clifton Park, NY, USA 120652
Dipartimento di Informatica, Università di Salerno, Fisciano, Italy2
Magister Teknik Informatika, Universitas Atma Jaya Yogyakarta, Sleman, Indonesia2
Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France2
Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy2
TOYOTA Central Research and Development Labs, 41-1, Yokomichi, Nagakute, Aichi, Japan2
Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea, Gwangju, Korea2
Institute of Linguistics Chinese Academy of Social Sciences, Beijing, China2
Environment Perception, Daimler AG, Sindelfingen, Germany2
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand2
Department of Information Technology, Noorul Islam University, Kumaracoil - 629180, Kanyakumari District, Tamilnadu2
Laboratory of Automated Queuing Systems and Signal Processing, V. A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia2
Department of Electronics & Communication Engineering, Maulana Azad National Institute of Technology, Bhopal, India2
Department of Information & Communication Technology, ABV-Indian Institute of Information Technology & Management, Gwalior, India2
Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taiwan2
Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia2
Department of Information Engineering, Chinese University of Hong Kong, Hong Kong2
Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, Guangzhou, China2
Radboud University Nijmegen, The Netherlands2
Graduate School of Engineering, Osaka University 2-1 Yamadaoka, Suita, 565-0871, Osaka, Japan2
Advanced Perception Center of Aptiv (previous Delphi Corporation), Electronics & Safety, Agoura Hills, CA, 91301, USA2
Media Analytics Dept., NEC Laboratories America, Inc., Cupertino, CA 95014, USA2
Centre of Development of Advanced Computing (CDAC), Mumbai, 400049, India2
Department d'InformatiqueESST, Tunisia2
Department of Computer EngineeringKhalifa University, UAE2
GREYC, CNRS UMR 6072, Université de Caen2
Microsoft Research Cambridge, UK2
LMU Munich, Germany2
IRCV Group, Rovira i Virgili University, Reus, Spain2
Grundlagen Elektro-Technnik Laboratory, Paderborn University, Paderborn, Germany2
Google, Mountain View, USA2
Polytechnic School of Pernambuco, University of Pernambuco, Recife-PE, Brazil2
Computer Science & Engineering, PEC University of Technology, Chandigarh, India2
Department of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Computer Engineering Department, Vishwakarma Institute of Technology, Pune2
Escola Universitaria Politecnica de Mataro, Spain2
Visual Intelligence Research Group Electronics and Telecommunications Research Institute, Daejeon, Korea2
Knowledge e-Learning Research Group2
School of Computer, China University of Geosciences, Wuhan, China2
Institut für Informatik, Ludwig-Maximilians-Universität München, Munich, Germany2
Department of Computer Science, Aarhus University, Denmark2
Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 133-791, Korea2
Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education, Chongqing, China2
Eastman Kodak Company, Rochester, USA2
Naver Labs Europe, Meylan, France2
School of Computer Science, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China2
Sapienza Università di Roma, Roma, Italy2
Computer Science Department, University of Moncton, NB, Canada, E1A 3E92
Automated Driving Department, Forschungs-gesellschaft Kraftfahrwesen mbH Aachen, Aachen, Germany2
Department of EEE, Indian Institute of Technology (IIT) Guwahati, India-7810392
Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Austria2
Institute of Applied Mathematics, Academy of Science, Beijing, 100190, China2
Department of Biomedical Engineering, Oregon Health & Science University, Beaverton, 97006, USA2
Elektronik ve Haberleşme Mühendisliği Bölümü, NETAŞ Telekomünikasyon A.Ş, İstanbul, Türkiye2
IoT and Robotics Convergence Research Division, Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu, Republic of Korea2
Broadcasting & Telecommunications, Convergence Media Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea2
GRIFT Research Group, CRISTAL Laboratory, National School of Computer Sciences, University of Manouba, Tunisia2
Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
Dept. of Electronics, Rajiv Gandhi Institute of Technology (RIT), Kottayam, Kerala, India2
Department of Medical Informatics, University of Medicine and Pharmacy “Victor Babes”, Piata Eftimie Murgu, 300041 Timisoara2
University of California, Riverside Riverside, CA, 92521, USA2
Universidad Politécnica de Valencia, Instituto Tecnológico de Informática, Camino de Vera s/n, 46022 (Spain)2
University of California, Merced, CA2
University Carlos III of Madrid, Univ. Group for Identification Technologies, Avda. Universidad, 30, E-28911 - Leganes; SPAIN2
Intel Labs, Pittsburgh PA2
Department of Sciences and Information Technology, University of Sassari, Viale Mancini 5, 07100 Sassari, Italy2
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China2
OFFIS - Institute for Information Technology, Oldenburg, Germany2
University of Oldenburg, Oldenburg, Germany2
Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India 3820072
Dept. Matemàtica Aplicada i Anàlisi, UB, Barcelona, Spain2
Computer Vision Center, Cerdanyola del Vallès, Spain2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an City, 710049, China2
Department of Computer and Software Engineering, Polytechnique Montréal, Montréal, QC, Canada2
Dept. of Electronic and Computer Engineering, Brunel University London, Uxbridge, UB8 3PH, UK2
Communication Systems Group, Technische Universitat Berlin, Germany2
Computer Science Department, Technical University of Cluj-Napoca, Cluj Napoca, Romania2
National Ilan University, Ilan, Taiwan Roc2
GREC Research Group, Universitat Politècnica de Catalunya, Barcelona, Spain2
CICTE Research Center, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Dep. DECEM, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
CNRS-LTCI, Institut Mines-TELECOM TELECOM ParisTech, France2
Université Pierre et Marie Curie (LIP6), Paris, France2
Faculty of Engineering, Universitas Indonesia, Indonesia2
Sorbonne Universités, Paris, France2
Electronics and Telecommunications Research Institute, Youga, Dalsung, Daegu, Korea2
University of St Andrews North Haugh St Andrews KY16 9SX Fife, Scotland, United Kingdom2
Shandong Agricultural University, College of Information Science and Engineering, China2
Signal Processing of Ministry of Education Southeast University, Key Laboratory of Underwater Acoustic, China2
Department of Electrical Engineering, Yuan-Ze Univsersity, Taiwan2
EIS, Huazhong Univ. Sci. and Tech., China2
Center for Research in Intelligent Systems, University of California, Riverside, USA 925072
Information and Communication Technology, Gautam Buddha University, Greater Noida2
The 28th Research Institute of China Electronics Technology Group Corporation, China2
Université Paris-Est, LEPSIS, IFSTTAR, F-77447 Marne-la-Vallée, France2
Shenzhen Tencent Computer System Co. Ltd., Shenzhen, China2
School of Computer & Communication Engineering, University of Science and Technology Beijing, China2
Coursera and Stanford University2
Department of Computer Science, Gyan Ganga Institute of Technology & Sciences, Jabalpur, M.P, India - 4820012
Division of Electronics and Communication Engineering, School of Engineering, Cochin University of Science and Technology, Kochi - 682022, Kerala, India2
Convergent SoC Research Center Korea Electronics Technology Institute2
Department of Mechanical Engineering and Intelligent Systems, University of Electro-Communications, Chofu, Japan2
Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000, Croatia2
Department of Computer Science and Information Engineering, National Formosa University, Taiwan, R. O. C.2
School of Computer and Control Engineering, University of the Chinese Academy of Sciences, Beijing, China2
Institut für Nachrichtentechnik (INT), Universität Karlsruhe (TH), Germany2
School of Electrical Engineering, KAIST, Daejeon, Republic of Korea2
u’smile, the Josef-Ressel-Center for User-Friendly Secure Mobile Environments, University of Applied Sciences Upper Austria, Wels, Austria2
Institute of Neural Information Processing, University of Ulm, Ulm, Germany2
Technical center for the Mechanical Industry (CETIM), France2
COMVILAB - Computational Vision and Intelligence Laboratory, Federal University of Mato Grosso do Sul - Ponta Porã Campus, Rua Itibiré Vieira, s/n, 79907-414, Brasil2
Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India2
Inst. of Comput. Sci., Univ. of Leoben, Austria2
Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran2
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey2
Hewlett-Packard Labs, 1501 Page Mill Rd. Palo Alto, CA, USA2
Dept. of Electronics, Telecommunications and IT, University Politehnica Bucharest, Romania2
GREYC Laboratory, ENSICAEN - Université de Caen - CNRS, 6 boulevard Maréchal Juin, 14000, France2
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kuching, Malaysia2
Institute of Cartography and Geoinformatics, Leibniz Universität, Hannover, Germany2
Mazda Motor Co., 2-5 Moriya-cho Kanagawa-ku, Yokohama, Kanagawa 221-0022, Japan2
National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba Ibaraki, 305-8568, Japan2
Department of Physics and Computer Science, Dayalbagh Educational Institute, Agra, India2
L3S Research Center, Leibniz Universität Hannover, Hannover, Germany2
Movidius Plc., Dublin, Ireland2
Department of Computing, The University of the West Indies, Mona, Kingston 72
Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain2
Dept. of Electronics and Telecommunication Engg., S. G. G. S. Institute of Engineering and Technology, Vishnupuri, Nanded - 431 606, India2
Institute of Energy, Jiangxi Academy of Sciences, Nanchang, China2
Micron Technology Inc.2
Department of ECE, Mepco Schlenk Engineering College, Sivakasi2
Telecommunications and Informatics Gdansk University of Technology, Department of Computer Architecture Faculty of Electronics, Gdansk, Poland2
Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Department of Computer Science and Engineering at the Toyohashi University of Technology, Japan2
Berger Levrault, Labege, France2
Sigmedia Group, Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
School of Electronic Engineering and Computer Science Queen Mary University of London2
School of Computer Science and Engineering, UESTC, Chengdu, China2
School of Information Science and Engineering, Jinan, China2
UIET, Panjab University, Chandigarh, India2
Department of Electronics, University of Goa, India2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-453331, India2
Advanced Medical Electronics, USA2
Fraunhofer IAIS, Sankt Augustin, Germany2
University of California at Los Angeles, Los Angeles, CA, USA2
TSC Department, University of Vigo, Spain2
Gradiant (Galician Research and Development Center in Advanced Telecommunications), Spain2
Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan2
INAOE, Puebla, Mexico2
Yahoo Labs, San Francisco, CA, USA2
Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia2
Department of Electrical and Electronics Engineering, Eski¿ehir Osmangazi University, Me¿lik Campus, 26480, Turkey2
College of Computer Science. Chongqing University, Chongqing, China2
Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China2
School of Engineering and Computer Science, Independent University, Bangladesh2
Sinhgad Academy of Engg, Dept. of Electronics and Telecommunication Engg, Kondhwa, India2
Image Analysis Group, Technical University Dortmund, Otto-Hahn-Str. 4, 44227 Dortmund, Germany2
KU Leuven ESAT-PSI, iMinds2
Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, India2
Department of Computer Science and Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India2
School of Information Science and Technology, Jiujiang University, China2
Research Institute of Wuhan University in Shenzhen, China2
Institut TELECOM; TELECOM Lille 1, France2
Shenzhen Key Lab of Comp. Vision and Patt. Recog., Shenzhen Institute of Advanced Technology, CAS, P.R. China2
University of Ulsan, Graduate School of Electrical Engineering, Ulsan, 44610, Korea2
USC Institute for Creative Technologies2
Beijing Innovisgroup Tec Co. LTD, Beijing, China2
Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan2
Intelligent Biometric Group, School of Electrical and Electronics Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Malaysia2
Electrical, Electronics & Automation Section, Universiti Kuala Lumpur, 09000 Kulim Hi-Tech Park, Malaysia2
Université de La Rochelle, France2
Kyungpook National University, Buk-go, Daegu, Republic of Korea2
University of California, Davis, Davis, CA, USA2
INRIA Sophia Antipolis Méditerranée, Sophia Antipolis, France2
Department of Mathematics and Computer Science, University of Catania, Italy2
CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France2
Dept. of Computer Science and Engg., IIT(BHU), Varanasi, India2
PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Algeria2
Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany2
Mount Sinai Hospital, Toronto, Canada2
University of Valencia2
Ghent University - imec - MICT, Korte Meer, Ghent2
Ghent University - imec, ELIS - IDLab, Pietersnieuwstraat, Ghent2
Computer Science Department, Technion Israel Institute of Technology, Haifa, Israel2
Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India2
Department of Computer Science and Engineering, Christ University, Bengaluru, India2
Augsburg University, Augsburg, Germany2
Augsburg University, Augbsurg, Germany2
Baskin School of Engineering, University of California Santa Cruz, 1156 High St, Santa Cruz, CA 95064 USA2
Shahid Bahonar University of Kerman Computer Engineering Department, Kerman, Iran2
Nankai University2
Institute of Informatics, Silesian University of Technology, Gliwice, Poland2
The Graduate University for Advanced Studies (Sokendai), Tokyo, Japan2
Utrecht University, CC Utrecht, The Netherlands2
Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Dept. of Comput. Sci., Western Cape Univ., South Africa2
Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, Korea Rep.2
Shanghai Key Laboratory of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, China2
Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran2
Department of Computer and Information Sciences University of Delaware, Newark, DE, U.S.A.2
Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea2
College of Automation Science and Engineering, South China University, Guanghzou, 510641, China2
University of Windsor Department of Electrical and Computer Engineering Windsor, Canada2
Department of CS&E, Visualization and Perception Lab, Chennai, India2
Department of Electronic and Communication Engineering, MSRUAS, Bengaluru, Karnataka 560058, India2
Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Surathkal, India2
Institute of Linguistic Sciences, Jiangsu Normal University, Xuzhou, China2
National Laboratory of Pattern Recognition, (NLPR), Institute of Automation, CAS, Beijing, China2
Jiaxing University, Jiaxing, China2
Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China2
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo 101-8430, Japan2
School of Computer Science, China University of Geosciences, Wuhan 430074, China2
Dept. of Computer & System Sciences, Visva-Bharati University, Santiniketan, India2
Dept. of Computer Science & Engineering and Information Technology, Siliguri Institute of Technology, Siliguri, India2
Instituto de Microelectronica de Sevilla IMSE-CNM-CSIC C/ Américo Vespucio, s/n (esquina Leonardo da Vinci) Sevilla, Spain2
SCOPE Vellore Institute of Technology, Vellore, India2
School of Computer Science and Technology, HuBei University of Science and Technology, Xianning, 437100, China2
Statistical Machine Intelligence & LEarning, School of Computer Science & Engineering University of Electronic Science and Technology of China, 611731, China2
Dept., of ECE, Government College of Technology, Coimbatore, Tamil Nadu, India2
Institute of Information Technology and Communications, Otto-von-Guericke University, Magdeburg, Germany2
LRIT, Unité Associée au CNRST (URAC 29), Faculty of Sciences, Mohamed V-Agdal University, Rabat, Morocco2
Department of Computing and Numerical Analysis, Maimonides Institute for Biomedical Research (IMIBIC), University of Córdoba, Córdoba, Spain2
Institute of Computing - University of Campinas, SP, Brazil, 13083-8522
Department of CSE&IT, Rayat & Bahra College of Engg. & Bio-Tech, Kharar, India2
Makina Mühendisliği, İstanbul Teknik Üniversitesi, Makina Fakültesi, İstanbul, Türkiye2
School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Laboratory LAROSERI, Department of Computer Science, Faculty of Sciences, University of Chouaib Doukkali, El Jadida - Morocco2
RITS Team at INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
RITS Team, INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
Université Pierre et Marie Curie, Paris, France2
HERE Technologies, Chicago, Illinois, 60606, USA2
Faculty of the Institute of Artificial Intelligence, Robotics, Xi’an Jiaotong University, Xi’an, China2
Data Science Research Laboratories, NEC Corporation. Kawasaki, Japan2
Leiden University, Leiden, The Netherlands2
TNO, The Hague, The Netherlands2
Department of Electrical Engineering, Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Multimedia Signal Analysis Lab at Electronics & Comms, Eng. Dpt., Electrical & Electronics Faculty, Yildiz, Technical University, Istanbul, Turkey2
University Moulay Ismail, Meknes, Morocco2
Multimedia Computing Lab, University of Augsburg, Germany2
Dept. of Electronics and Communication Engg., S.J.B. Inst. of Tech., Bangalore-560060, INDIA2
LRIT, associated unit to CNRST 29, Faculty of Sciences, Mohammed V University, Rabat, Morocco2
LGS, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco2
Department of ICT, FM University, Balasore, Odisha, India2
Amsterdam University College, Amsterdam, The Netherlands2
INRIA Rhone-Alps, Montbonnot, France2
Graduate University of Chinese Academy of Sciences, Beijing, 100049, China2
The University of Waikato, Knighton Road, Hamilton, New Zealand2
Department of Data Analysis and Mathematical Modeling, Ghent University, Ghent, Belgium2
IBM T. J. Watson Research, Center, New York, USA2
Group Research of Daimler AG in Ulm, Germany2
Laboratoire d’imagerie de vision et d’intelligence artificielle, École de technologie supérieure, Université du Québec, Montreal, Canada2
Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia2
LMU Munich, Munich, Germany2
Hong Kong Applied Science and Technology Research Institute Company Limited, Hong Kong, China2
School of Information Science and Technology, Beijing Forestry University, Beijing, China2
Distributed Multimedia Systems Technical University of Darmstadt, Germany2
São Carlos School of Engineering, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil2
College of Information Science and Technology, Nanjing Agricultural University, Nanjing, China2
Labo Handibio, University of Toulon-Var, France2
Department of Information Technology, PCE, New Panvel, Navi Mumbai, India2
ECE/UPATRAS, Patras, Greece2
CERTH/ITI, Thessaloniki, Greece2
Shanghai Jiaotong University, Shanghai, China2
Information Technology, NICHE, Noorul Islam University, Kumaracoil, Thuckulay, India2
Department of Computer Engineering, Sejong University, Seoul, Korea2
Max-Planck-Institute for Informatics, Saarbrücken, Germany2
Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Department of Automation, North-China University of Technology, Beijing, China2
CongniVue Corporation, Gatineau, QC, Canada2
Computer Engineering Department, S.V. National Institute of Technology, Surat, 329507, India2
Indian Institute of Information Technology Allahabad, Deoghat, Jhalwa, Allahabad 211012, India1
Shenzhen Sunwin Intelligent Co., Ltd, China1
Department of Electrical, Computer and IT Engineering, Qazvin Azad University, Qazvin, Iran1
Department of Electronic Engineering, Chinese University of Hong Kong, Shatin, Hong Kong1
Toyota InfoTechnology Center, Mountain View, CA 94943 USA1
Nokia Corporation, San Francisco, CA, USA1
Yahoo Research, USA1
Department of Mathematics, University of Punjab, Lahore, Pakistan1
School of Systems and Technology, University of Management and Technology, Lahore, Pakistan1
Yazd University, Yazd, Iran1
University of Chicago, Chicago, IL, USA1
Core Technology Center Omron Corporation Kyoto, Japan1
Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany1
Corporate Technology, Siemens AG, München, Germany1
Empolis Information Management GmbH, Kaiserslautern, Germany1
Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany1
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH, Saarbrücken, Germany1
Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, València, Spain1
University of Seville , Sevilla, Spain1
Bilgisayar Mühendisliği Bölümü, ITÜ1
Bili§im Enstitüsü, İTÜ1
Department of electrical and electronic engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia1
school of computer science and engineering, Xi¿an University of Techonology, China1
Faculty of Computer Science and Information Technology, YunNan Normal Univeristy, 650092, China1
College of Computer Science and Technology, Qingdao University, Qingdao, China1
College of Automation and Electrical Engineering, Qingdao University, Qingdao, China1
School of Data Science and Software Engineering, Qingdao University, Qingdao, China1
Laboratory of Image Processing and Data Mining, Shahrood University of Technology, Shahrood, Iran1
Distributed Artificial Intelligence Laboratory, Technische Universität Berlin, Berlin, Germany1
Omron corporation1
Dept. de Ciência da Computacão, Universidade Federal de Ouro Preto, MG Brazil1
Shenzhen Silver Star Intelligent Technology Co., LTD, China1
II-LIDI, UNLP, La Plata, Argentina1
Dept. of CS and E, U.B.D.T.College of Engineering, Davanagere, Karnataka, India1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. schettini@disco.unimib.it1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. cusano@disco.unimib.it1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. colomboal@disco.unimib.it1
Digital Image Group (DIG), London, Canada1
Department of Medical Imaging, Western University, London, Canada1
Computational Medicine Lab, Shandong University of Traditional Chinese Medicine, Jinan, China1
Technical University of Catalonia, Barcelona, Spain. ferran@gps.tsc.upc.es1
Technical University of Catalonia, Barcelona, Spain. veronica@gps.tsc.upc.es1
Intel Corporation, Hudson, MA, USA1
Nvidia Research, Westford, MA, USA1
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
ShanghaiTech University1
Graphic Era University, Dehradun, India1
Uttarakhand Technical University, Dehradun, India1
Università di Trento, Povo, Italy1
Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Amrita E-Learning Research Laboratory and the Department of Computer Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India1
Innovations Kontakt Stelle (IKS) Hamburg, Hamburg University of Applied Sciences1
School of Engineering and Computing, University of the West of Scotland1
Computer Science Department, Central Washington University (CWU)1
ICT Center, CSIRO1
Department of Electrical and Computer Engineering, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates1
Fac. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
Faculty of Information Science and Technology, National University of Malaysia, Bangi, Malaysia1
Technische Universität München, München, Germany1
AT&T Labs Research, Middletown, NJ, USA1
Peking University Shenzhen Graduate School & Peking University, Shenzhen, China1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, People’s Republic of China1
Department of Electronic Engineering National Kaohsiung, University of Applied Sciences, Kaohsiung 807, Taiwan1
Xi’an Jiaotong University, Xi’an, Shaanxi, China1
Redpine Signals Inc., Hyderabad, India1
Department of Electronic Engineering Shanghai Jiao Tong University1
Foundation for Research and Technology--Hellas (FORTH), Greece1
HAVELSAN A.Ş., Ankara, Türkiye1
Bilgisayar Mühendisliği Bölümü, İhsan Doğramacı Bilkent Üniversitesi, Ankara, Türkiye1
I.K. Gujral Punjab Techncial University, Kapurthala, India1
Faculty of Sciences, Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia1
Technical Faculty “Mihajlo Pupin”, University of Novi Sad, Zrenjanin, Serbia1
Harvard University & Microsoft Research, Boston, MA, USA1
OLM Digital Inc, Setagaya, Japan1
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan1
5th Engineering Bldg., Room 619, Shizuoka University, Naka-ku, Hamamatsu, Japan1
Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China1
College of Information and Electrical Engineering, Ludong University, Yantai, China1
Wakayama University1
U. of Illinois at Urbana-Champaign, USA1
Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, 956161
Xi'an Institute of Optics and Precision Mechanics &Chinese Academy of Sciences, Xi'an, China1
Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
Guilin University of Electronic Technology, Guilin, People’s Republic of China1
School of Mathematics, Liaoning Normal University, Dalian, People’s Republic of China1
ODTÜ Görüntü Analizi Uygulama ve Araştırma Merkezi (OGAM), Ankara, Türkiye1
Akıllı Veri Analitiği Araştırma Program Müdürlüğü, Aselsan Araştırma Merkezi, Ankara, Türkiye1
Media Systems and Technologies Department, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine1
Computer Science, Azusa Pacific University, Azusa, USA1
Intel Corporation, Beijing, China1
Corporate Research, Robert Bosch GmbH, Stuttgart, Germany1
Bilgisayar ve Öğretim Teknolojileri Eğitimi, Dicle Üniversitesi, Diyarbakır, Türkiye1
Bilgisayar Mühendisliği, Fırat Üniversitesi, Elazığ, Türkiye1
Bilgisayar Mühendisliği, Dicle Üniversitesi, Diyarbakır, Türkiye1
Department of Physics, Indian Institute of Technology Delhi, New Delhi, India1
HCL Technologies, Chennai, India1
Department of Computer Science and Engineering, University at Buffalo-State University of New York, Buffalo, NY, USA1
Institute for Infocomm Research (IR) Singapore 1386321
Pattern Recognition Lab, Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan1
INRIA / Ecole Normale Supérieure, France1
Cairo University, Egypt1
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran1
Precision Silver LLC, Gainesville, FL1
Signal and Communication Research Institute, China Academy of Railway Sciences, Beijing, China, 1000811
Technological Educational Institute of Sterea Ellada, Psahna, Halkida, Greece1
National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Athens, Greece1
University of Maastricht, Maastricht, The Netherlands1
Centre of Research and Technology Hellas, Thermi, Thessaloniki, Greece1
Centre for Quantum Computation and Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia1
Computer Science Department, Centro de Innovación para la Sociedad de la Información, University of Las Palmas de Gran Canaria, Las Palmas, Spain1
MNNIT Allahabad, Allahabad, India1
Google Inc., Singapore1
German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany1
Department of Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia1
School of Engineering, University of California at Merced, Merced, USA1
Advanced Digital Sciences Center (ADSC) of the University of Illinois, Singapore, Singapore1
School of Information Technology & Management, University of International Business and Economics, Beijing, China1
Department of Applied Electronics, Gulbarga University, Kalaburgi, India1
State Key Laboratory of Space-Ground Integrated Information Technology, Beijing Institute of Satellite Information Engineering, Beijing, China1
Vision and Pattern Recognition Systems (VisPRS) Research Group Center for Advanced Studies in Engineering, Islamabad, Pakistan1
IUSIANI, Univ. de Las Palmas, Spain1
Agency for Science and Technology Research, Bioinformatics Institute, Singapore1
Beijing Institute of Technology, Beijing 100081, P.R. CHINA1
Department of Computer Science and Engineering, American University of Sharjah, UAE1
Department of Electrical Engineering, University of Biskra, Biskra, Algeria1
Energy Systems Modeling Laboratory, University of Biskra, Biskra, Algeria1
Inst. for Infocomm Res., Singapore1
Qihoo 360 AI Institute, Beijing, China1
Institute for Infocomm Research, Connexis South, Singapore1
Marc Holzapfel is with Dr. Ing. hc. F. Porsche AG, 71287 Weissach, Germany1
Siemens Medical Solutions, Innovations Division, CA 94043, USA1
Department of Electrical and Systems Engineering, University of Miyazaki, Japan1
Department of Environmental Robotics, University of Miyazaki, Japan1
Department of Materials and Informatics, University of Miyazaki, >Japan1
UFMG, Belo Horizonte, Brazil1
Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain1
University of Malaga , Malaga, Spain1
Universidad de Granada , Granada, Spain1
Institute of Engineering & Technology, Dr APJ Abdul Kalam Technical University, Uttar Pradesh, Lucknow, India1
Apollo Institute of Technology, Kanpur, India1
Graduate School of Information, Science Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
Netherlands Defence Academy and Delft University of Technology1
Delft University of Technology and Netherlands Defence Academy1
College of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China1
Volvo Construction Equipment, Göthenburg, Sweden1
Department of Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
Department of Computer Science, Shahid Beheshti University, GC, Tehran, Iran1
Molecular & Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin 2, Ireland1
Department of Electrical and Electronic Engineering, Public University of Navarra, Pamplona, Spain1
The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense M, Denmark1
Dept. of Autom. Test & Control, Harbin Inst. of Technol., China1
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Engineering Research Center for Spatio-Temporal Data Smart Acquisition and Application, Ministry of Education of China, Wuhan, China1
Mila, Université de Montréal, Quebec, Canada1
Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea1
Department of Electrical Engineering, Indian Institute of Technology Delhi, India1
Department of Computer Science and Engineering, Indian Institute of Technology Delhi, India1
Department of Computer and System Sciences, Visva-Bharati University, Santiniketan - 731 235, India1
Department of Computer Science Information Technology, University Institute of Technology, The University of Burdwan, Golapbag (North), 713 104, India1
Department of Computer Science and Engineering, Kalyani Government Engineering College, 741 235, West Bengal, India1
Dhofar University, Oman, Salalah1
LARODEC Laboratory, University of Tunis, Tunis, Tunisia1
Department of Computer Engineering, Batman University, Batman, Turkey1
Department of Electrical and Electronic Engineering, Batman University, Batman, Turkey1
Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France1
Department of Computer Technologies, Trabzon Vocational School, Karadeniz Technical University, Trabzon, Turkey1
College of Humanities & Sciences of Northeast Normal University, Changchun, China1
Department of artificial Intelligence and systems engineering Faculty of Computer Science and Information Technology Riga Technical University Riga, Latvia1
University of São Paulo1
University of Porto1
Federal Institute of São Paulo1
Computer Science & Engg., School of Computer Science & IT DAVV, Indore, India1
Computer Science & Engg., Visvesvaraya National Institute of Technology Nagpur, India1
LAMIH Université de Valenciennes, Paris, France1
LGB Université Mohamed Khider, Biskra, Algérie1
LMSE Université Mohamed Khider, Biskra, Algérie1
Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea1
Meijo University, Nagoya-shi, Japan1
MIT, Cambridge, MA1
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Department of Management Science and Engineering, Officers College of Chinese Armed Police Force, Chengdu, China1
Oxford-Brookes University, Oxford, OX3 0BP, United Kingdom1
Department of School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
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UNLV STEM, Las Vegas, Nevada1
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Department of Computer Science and Engineering, Shri Shankaracharya Group of Institutions (SSGI), Durg, India1
Department of Computer Science and Engineering, Indian Institute of Technology (B.H.U), Varanasi, India1
Computer Science & Engineering (CSE), IIIT Naya Raipur, Chhattisgarh, India1
Department of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan1
VU Amsterdam, Van der, Amsterdam, The Netherlands1
Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Brazil1
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Department of Electrical Engineering and Computer Science, University of California at Merced, Merced, CA, USA1
Anhui Keli Information Industry Co. Ltd., Hefei, China1
INRIA, Grenoble Rhône-Alpes Research Center, Paris, France1
Department of CSE, Annamalai University, Chidambaram, India1
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(CSE)PGOI, Indore1
PGOI, Indore1
Computer Sciences Department, University of Wisconsin, Madison, USA1
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Faculty of Science, Department of Mathematics, Aswan University, Egypt1
Karlsruhe Institute of Technology (KIT), Institute of Measurement and Control Systems, Karlsruhe, 76131, Germany1
Laboratoire d’Informatique de Grenoble, Université Joseph Fourier, Grenoble cedex 9, France1
Image Perception, Access and Language Lab, Institute for Infocomm Research, Singapore, Singapore1
Department of Computer ScienceInstituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal1
Dept. Electronics & Communication Engineering Karunya University, India1
Dept. Electronics & Communication Engineering, Karunya University, India1
Department of Electrical and Electronics Engineering, Batman University, Batman, Turkey1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, P.R. China1
Foundation for Research and Technology - Hellas (FORTH), Institute of Computer Science, Heraklion, Greece1
Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA1
CSIRO and the Australian National University (ANU), Australia1
College of Technological Innovation, Zayed University, UAE1
Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia1
School of of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea1
Computer Vision Group, University of Jena, Jena, Germany1
Daimler AG, R&D, Germany and Hochschule fur Technik, Stuttgart, Germany1
Daimler AG, R&D, Germany and University of Jena, Jena, Germany1
Institute of Advanced Technology and College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China1
Computer Vision and Systems Laboratory, Laval University, Quebec, Canada1
University of Science & Technology, Beijing, China1
Global Big Data Technologies Centre, University of Technology at Sydney, Sydney, NSW, Australia1
Media Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China1
School of Computer and Information Science, Southwest China University, Chongqing, China1
Electronics and Comm. Dept., Jawaharlal Nehru Technological Univ., Hyderabad, India1
Electronics and Comm. Dept., Kakatiya University, Warangal, India1
Kodak Research Laboratories, Eastiman Kodak Company, Rochester, USA1
College of Mechatronics and Control Engineering, Hubei Normal University, Huangshi, People’s Republic of China1
Université catholique de Louvain, Belgium1
Discipline of Business Analytics, University of Sydney Business School, Camperdown, NSW 2006, Australia1
LIIAN, Department of Mathematics and Computer Science, Faculty of Science, Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco1
LSI, Department of Mathematics, Physics and Computer Science, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Taza, Morocco1
Department of Computer Science and Information Systems, Birkbeck College, Malet Street, London, Berkshire, United Kingdom1
LTCI, Télécom ParisTech, Université Paris-Saclay, Paris, 75013, France1
Data61, CSIRO, Canberra, Australia1
Department of Computing and Information Systems, University of Melbourne, Parkville, Australia1
Dept. of Electrical Engineering, IIT Kanpur, Uttar Pradesh, India-2080161
Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China1
Key Laboratory of Computer Vision and System, Tianjin University of Technology Ministry of Education, Tianjin, China1
ME Communication Systems M.Kumarasamy College of Engineering, Thalavapalayam, Karur, India1
M.kumarasamy college of Engineering, Thalavapalayam, Karur, India1
Institut Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France1
College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China1
School of Information Science and Engineering, Shandong Agricultural University, Taian, China1
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University of Sao Paulo - ICMC/USP, Brazil1
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Department of Experimental Psychology, Ghent University, Ghent, Belgium1
Department of Digital Media Technology, Huanggang Normal University, Huangzhou, China1
Collaborative Innovation Center of Geospatial Technology, Wuhan, China1
Tang Department of Communication Engineering, National Central University Jhongli City, Taoyuan County 32001, Taiwan1
Center for Spatial Systems Biomedicine, Oregon Health Sciences University, Portland, U.S.A.1
Center for Comparative Medicine, University of California, Davis, U.S.A.1
Dept. of Computer Science and Engineering Pabna University of Science and Technology, Pabna, Bangladesh1
Dept. of Applied Physics and Electronic Engineering, University of Rajshahi, Rajshahi, Bangladesh1
CEA (iRSTV/BGE), INSERM (U1038), CNRS (FR3425), Université Grenoble-Alpes, Grenoble, France1
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Costel, Université de Rennes 2, Rennes, France1
IRISA, Université de Bretagne Sud, Vannes, France1
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea (Republic of)1
Idiap Research Institute and École Polytechnique Fédérale de Lausanne, Martigny, Valais, Switzerland1
Laboratoire d'InfoRmatique en Image et Systèmes, d'information (LIRIS) Université de Lyon, CNRS, Ecole Centrale Lyon (ECL)1
CEERI Pilani, India1
College of Computer Science and Technology of Huaqiao University, Xiamen, China1
Department of Electrical and Computer Engineering, Universtiy of Dayton, Dayton, USA1
School of software, Beijing Institute of Technology, Beijing, China1
Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, R.O.C.1
Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, Tainan, R.O.C.1
Department of Electronics Engineering, State University of Makassar, Indonesia1
Department of Mathematics and Informatics, J. Selye University, Komárno, Slovakia1
Institute of Informatics, University of Szeged, Szeged, Hungary1
Department of Electrical Engineering, Sajaad University, Mashhad, Iran1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
Control Syst. Centre, UMIST, Manchester, UK1
College of Business Administration, University of Alabama in Huntsville, Huntsville, AL, USA1
Sharp Laboratories of America, 5750 NW Pacific Rim Blvd., Camas, WA 98607, USA1
Tikkurila Oyj, Vantaa, Finland1
Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary1
College of Information Technology, Zhejiang Chinese Medical University, Hangzhou, China1
Yancheng Institute of Technology, Yancheng, China1
Huaiyin Normal University, Huai’an, China1
CNR ISM-Institute of the Structure of Matter, Roma, Italy1
Graduate University of Chinese Academy of Sciences, Beijing, China, and China-Singapore Institute of Digital Media1
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar1
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
IBISC laboratory, Evry, France1
Elektrik ve Elektronik Mühendisliği Bölümü, Doğu Akdeniz Üniversitesi, KKTC1
Elektrik ve Elektronik Mühendisliği Bölümü, Lefke Avrupa Üniversitesi, KKTC1
University of Illinois Urbana-Champaign, USA1
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA1
Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology, University of Science and Technology of China Hefei, Anhui, People’s Republic of China1
Dept. of IT SCSVMV University Kanchipuram, Tamil Nadu, India1
Dept. of CSE SCSVMV University Kanchipuram, Tamil Nadu, India1
Laboratory LIIAN Faculty of Science Dhar EL Mahraz, Fez, Morocco1
Microsoft Photogrammetry Graz, Austria1
Université de Toulouse, UPS, INSA, INP, ISAE, LAAS, Toulouse, France1
Goi Eskola Politeknikoa, Mondragon Goi Unibertsitatea, Mondragon, Spain1
Engineering & Research Center of E-learning, Changchun, China1
College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin, China1
University "Politehnica" Bucharest, Department of Telecommunications, Romania, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Danang University of Technology, Vietnam1
Dept. Clinical Psychology University, College London London, United Kingdom1
School of Computer, Electronics and Information, Guangxi University1
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. malasiot@iti.gr1
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. filareti@iti.gr1
Faculty of Computers and Information Sciences, Mansoura University, Egypt1
Elektrik Mühendisliği, Matematik ve Bilgisayar Bilimi Bölümü, Twente Üniversitesi, Hollanda1
University of Bologna - Bologna, Italy, ETHZ - Zürich, Switzerland1
University of Bologna, Bologna, Italy1
Department of Information and Technology, Nanjing College of Forestry Police, Nanjing 210046, Jiangsu, P. R. China1
College of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu, P. R. China1
Technion - Israel Institute of Technology, Haifa1
State Key Laboratory of Smart Grid Protection and Control, Nanjing, China1
Department of Electrical and Electronic Engineering, Imperial College, London, UK1
School of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China1
Poongsan Defense R&D Institute1
Shenzhen Academy of Robotics, Shenzhen, China1
Department of Computer Science & Engineering, BLDEA’s V. P. Dr. P. G. H. College of Engineering & Technology, Vijayapur, India1
Department of Computer Science, Dr P G Halakatti Post Graduate Centre, “Vachana Sangama”, Rani Channamma University, Vijayapur, India1
Dept. of Mechanical Engineering, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand1
National Inst. of Stand. & Technol., Gaithersburg, MD, USA1
Fraunhofer Institute for Telecommunications, Berlin, Germany1
Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany1
Siemens AG, Corporate Technology, Munich, Germany1
Faculté Polytechnique de Mons - TCTS 31, Mons, Belgium1
IDIAP - Dalle Molle Institute for Perceptual Artificial Intelligence, Martigny, Switzerland1
Nat. Taipei Univ., Taiwan1
MPI Tübingen, Germany1
Leibniz Universität Hannover, Germany1
University of Burgundy, Le2i Laboratory, Le Creusot, France1
Department of Computer Science, Air Force Engineering University, Xi’an, China1
Changshu Institute of Technology, Changshu, China1
Department of Electronics, Kyungil University, Daegu, Korea1
SK Telecom, Seoul, Republic of Korea1
KAIST, Daejeon, Republic of Korea1
Department of Computer Science and Engineering, University of Calcutta, Kolkata, India1
Siemens Corporate Research, yakup.genc@siemens.com1
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Robotics and Embedded Systems, Technische Universität München, Garching, Germany1
Department of Electrical and Computer Engineering, Saginaw Valley State University, University Ctr, MI- 487101
Department of Computer Science and Information Engineering, National United University, Miaoli, Taiwan1
The DiVE, Durham, USA1
Side Effects Software, Santa Monica, USA1
IBM T.J. Watson Research Center, Yorktown Heights, USA1
ICT Center, CSIRO, Brisbane, Australia1
ICT Center, CSIRO, Sydney, Australia1
Computer Vision Research lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
TCTS Lab, Faculté Polytechnique de Mons, Belgium1
Speech Technology Group, Technical University of Madrid, Spain1
TALP Research Center, Universitat Politècnica de Catalunya, Spain1
TELE Lab, Université catholique de Louvain, Belgium1
Department of Statistics, Psychology and Computer Science, University of California at Los Angeles, Los Angeles, USA1
Alibaba Group R&D, Hangzhou, P.R. China1
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Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg1
Institut Fresnel, UMR CNRS 7249, Ecole Centrale Marseille, France1
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Intel Labs, 4720 Forbes Ave, Pittsburgh, PA 15213, United States1
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KU Leuven, Leuven, Belgium1
University of California, Santa Cruz & Ghent University, Santa Cruz, CA, USA1
Kamala Nehru Institute of Technology, Sultanpur, India1
Designer at the National Institute of Design, Ahmedabad, India1
Faculty of Engineering & Technology, Chattisgarh, India1
Rajarshi School of Management and Technology, Varanasi, India1
Kodak Research Laboratories, Eastman Kodak Company, Rochester1
Faculty of Information Technology Engineering, Tarbiat Modares University, Tehran, Iran1
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Department of Electrical and Computer Engineering, Naresuan University, Muang, Thailand1
Sandia National Labs Albuquerque, NM1
Grupo de Investigación GDSPROC Universidad del Quinío1
Electronic and Computer Engineering (DIEEI) University of Catania, Department of Electrical, Catania, Italy1
Department of Electronic Engineering, The Chinese University of Hong, Kong Hong Kong, China1
State Grid Zhangjiakou Power Supply Company, Zhang Jiakou, 075000, China1
Department of Art History, Sichuan Fine Arts Institute, Chongqing, China1
College of Medical Informatics, Chongqing Medical University, Chongqing, China1
Institut Pascal, UMR 6602 CNRS, Clermont-Ferrand, France1
Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt1
Platinum Solutions, Inc, Reston, Virginia United States1
Naval Criminal Investigative Services, NCIS, Washington, DC United States1
Department of Computer Science and Technology, Xiamen University of Technology, Xiamen, China1
Federal University of Ceará, Fortaleza, Brazil1
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Federal Institute of Education, Science and Technology of Maranhão, São Luís, Brazil1
Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil1
Baidu Big Data Research Laboratory, Sunnyvale, CA, USA1
IIT-M1
Google and Hewlett-Packard Labs1
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School of Electronic and Information Engineering, Inner Mongolia University of Science and Technology, Baotou, People’s Republic of China1
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Department of Psychology and IIASS, Second University of Naples, Caserta, Italy1
AIIS Inc, Columbus, USA1
Wright State University, Dayton, USA1
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia1
Disney Research, 4615 Forbes Ave, Pittsburgh, PA 15213, USA1
Department of Computer Science and Engineering, Manonmanium Sundaranar University, Tirunelveli, India1
Department of M. C. A., St. Xavier's Catholic College of Engineering, Nagercoil, India1
Department of Environment Perception, Daimler AG, Ulm, Germany1
Boeing Company, Huntington Beach, CA1
California State University, Fullerton and Binghamton University, Binghamton, NY1
Department of Computer Software, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan1
Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, jonas.richiardi@epfl.ch1
Shaanxi Rural Commercial Bank Co., Ltd., Shangluo, China1
Sense Time Group Limited1
School of Information Science and Technology Sun Yat-sen University, Guangzhou 510275, China1
Noblis, Annandale, VA, USA1
NODET, Iran1
Department of Biomedical Engineering, Hakim Sabzevari University, Iran1
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Division of Information System, The University of Aizu, Aizuwakamatsu, Japan1
Computer and Information System, The University of Aizu, Aizuwakamatsu, Japan1
Information and Technology Department, Nanjing Forest University, Nanjing, China1
3-8-1 Nishi-kanda, Morpho, Inc., Chiyoda-ku, Tokyo, 101-0065, Japan1
Institut Telecom, Telecom Lille1, LIFL (UMR USTL/CNRS 8022), Villeneuve d’Ascq, France1
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Department of Electronics and Communication Engineering, S.J.B. Institute of Technology, Bangalore, India1
Department of Electronics and Communication Engineering, M.S. Ramaiah Institute of Technology, Bangalore, India1
Guangxi Experiment Center of Information Science, Guilin, China1
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Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan1
SATIE, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 94235 Cachan, France1
Institute for Man-Machine Interaction of RWTH Aachen University, 52074 Aachen, Germany1
KIT, EPFL1
Jaypee University of Engineering and Technology, Guna, India1
Advanced Scientific Computing Division, Euro-Mediterranean Centre on Climate Change, Lecce, Italy1
University of Athens,, Athens, Greece1
College of computer & communication engineering, Qingdao, China1
Thales UK, Glasgow1
Department of Embedded Systems, Institute for Infocomm Research, Singapore1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey1
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Intelligent Fiber Optic Systems Corporation, Santa Clara, CA, USA1
LSIIT, Strasbourg University - CNRS - INSA, Strasbourg, France1
Japan Automobile Research Institute, Minato-ku, Tokyo 105-0012, Japan1
Queensland University of Technology (QUT)1
Technicolor, Cesson-Sévigné, France1
Universidad de Zaragoza, I3A, Zaragoza, Spain1
Department of EEE, Coimbatore Institute of Technology, Coimbatore, India1
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National Laboratory of Pattern Recognition, Institute of Automation, Bejing, China1
Department of Automation, Beijing, China1
Institute of Intelligent System and Decision, Zhejiang, China1
Universidad de Las Palmas de Gran Canaria, SIANI, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain1
CEERI, Pilani, India1
MNIT, Jaipur, India1
Faculty of Electronic Engineering, Department of Physics and Electronic Engineering, Taishan University, Tai’an, China1
Faculty of Electronic and Communication, Department of Information Science and Engineering, Yanshan University, Qinhuangdao, China1
Institute for Information and System Science, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China1
School of Science and Technology, Tokai University, Tokai, Japan1
European University Cyprus, Nicosia, Cyprus1
IMIS, R.C. Athena, Athens, Greece1
CNRS, Université de Lyon, Lyon, France1
Teklia SAS, Paris, France1
LIRIS, UMR 5205, INSA-Lyon, Villeurbanne, France1
A2iA SA, Paris, France1
School of Mathematics, Central China Normal University, Wuhan, China1
Department of Computer Science, University of Mysore, Mysore, India1
Department of ECE, PEC University of Technology, Chandigarh, India1
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Senior Member, IEEE1
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Univ Bretagne Occidentale, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France; CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France1
ENST, Bretagne, GET-ENST, Brest, F-29200 France1
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Dept. of EE, Univ. at Buffalo, SUNY, USA1
Research Institute 704, Academy of Aerospace Electronics Technology, Beijing, China1
School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India1
School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, India1
Universitat Autonoma de Barcelona, barcelona, Spain1
Linkoping University, Linkoping, Sweden1
Mirada Medical Ltd., Oxford, UK1
Department of Engineering Science, University of Oxford and Mirada Medical Ltd., Oxford, UK1
Department of Electronics and Telecommunications Engineering, Danang University of Science and Technology1
Department of Computer Science and Technology University of Bedfordshire United Kingdom1
Computer Vision Laboratory Group, Universidad de Zaragoza, Zaragoza, Spain1
Escuela Superior de Ingenieros, Universidad del Pais Vasco, Bilbao, Spain1
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Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
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Pluryn, Hoenderloo, The Netherlands1
Stichting Otto Gerhard Heldring, Zetten, The Netherlands1
Karakter Child and Adolescent Psychiatry University Centre Nijmegen, Nijmegen, The Netherlands1
Brain Center Rudolf Magnus, UMC Utrecht, Utrecht, The Netherlands1
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Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
Nara Inst. of Science and Technology, Nara, Japan1
Baidu Research-Institute for Deep Learning, Baidu Inc., Beijing, China1
Department of CSE, HBTIU, Kanpur (India)1
Department of IT, UIET, CSJMU Kanpur (India)1
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Agency for Science Technology and Research, Institute for Infocomm Research, Singapore1
Treelogic, Technological Scientific Park of Asturias, Llanera, Spain1
Department of Computer Science and Engineering, University of Oviedo, Gijón, Spain1
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, Gijón, Spain1
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Department of Research and Diagnostic Methods, Faculty of Education, Pontificia University of Salamanca, Salamanca, Spain1
Sunway University, 46150 Petaling Jaya, Malaysia1
Robotics, Perception and Real-Time Group, University of Zaragoza, Spain1
Electronics Engineering and Computer Science Department, Fukuoka University, Japan1
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MPI Informatics, Saarbrücken, Germany1
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Defence Research and Development Canada, Ottawa, ON, Canada1
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Specialized Processor Architectures Lab Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain1
The Department of Psychology, The Pennsylvania State University, 450 Moore Building, University Park, PA 16802, USA1
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Adobe Systems1
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Key Lab of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing, China1
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Université Technologique de Compiègne, 60200 Compiègne, France1
NetEase, Hangzhou, China1
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THALES-TRT 91767 Palaiseau, France1
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College of Computer and Communication Engineering, China University of Petroleum, Qingdao, China1
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National Laboratory of Pattern Recognition, Institute of Automation of Chinese, Academy of Sciences, Beijing, China1
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Engineering Lab on Intelligent Perception for Internet of Things, Peking University Shenzhen Graduate School, Shenzhen, China1
Hasan Kalyoncu University, Gaziantep, Turkey1
Department of Electrical and Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates1
Intel Corporation, Kontich, Belgium1
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Brno University of Technology, Faculty of Electrical Engineering and Communication, Technicka 12, 612 00 Brno, Czech Republic1
General Design Institute, Zhejiang Sci-Tech University, Hangzhou, China1
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NEC Laboratories America, Inc., Cupertino, CA, USA1
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School of Mathematical and Physical Sciences at the University of Newcastle, Callaghan, NSW 2308, Australia1
Comput. Sci. & Artificial Intelligence Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA1
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia. E-mail: bozidar.klimpak@gmail.com1
College of Physics and Electronics, Shandong Normal University, Jinan, China, 2500141
Dithen, London, U.K.1
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New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, Buffalo, USA1
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Cogvis GmbH, Wiedner Hauptstrasse 17/3a, A-1040 Vienna1
Ecole Centrale de Lyon, LTDS UMR5513, F-69134, France1
Ecole Centrale de Lyon, ICJ UMR5208, F-69134, France1
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Automatic Control and Systems Eng. Dept., University of Malaga, Superior Technical, Málaga, Spain1
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MTA SZTAKI, Computer and Automation Research Institute of the Hungarian Academy of Sciences, -Budapest, Hungary1
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State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou, China1
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Institute of Deep Learning, Baidu, Inc., Beijing, 100085, China1
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Dep. of Mathematics - University of Milan Via Saldini 50, I-20133 Milan - Italy1
Indraprastha Institute of Information Technology Delhi, New Delhi 1100201
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Samsung Bangladesh R & D Center Ltd, Dhaka, Bangladesh1
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Applied Technology Laboratory for Advanced Surgery, Roswell Park Cancer Institute, Buffalo, NY, USA1
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Shanghai Research Institute of China Telecom. Corporation Limited1
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Nanjing Normal University & Nanjing University, Nanjing, China1
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CVLAB, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
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University of Canberra and Australian National University, Canberra, Australia1
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School of Nursing and Health Professions at Georgia State University, Atlanta, GA 30302, USA1
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UMass Dartmouth, Dartmouth, MA, USA1
HTC Research, Beijing, China1
QCIS, University of Technology, Sydney, Australia1
Shenzhen Academy of Robotics, Shenzhen, Guangdong, 518057, China1
Interuniversity Microelectronics Centre, Heverlee, Belgium1
NPU-VUB Joint AVSP Lab, Department ETRO, Vrije Universiteit Brussel (VUB), Brussels, Belgium1
Shaanxi Key Laboratory on Speech and Image Information Processing, Xi’an, China1
NPU-VUB Joint AVSP Lab, School of Computer Science, Northwestern Polytechnical University (NPU), Xi’an, China1
Raytheon Missile Systems, Tucson, USA1
Research Institute of Computer Science and Technology, Ningbo University, Ningbo, China1
Department of Multimedia, Sungkyul University, Korea1
Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, Beijing, China1
National Center for Mathematics and Interdisciplinary Sciences, Chinese Academy of Sciences(CAS), Beijing, China1
Centre for Image Processing and Pattern Recognition, Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India1
National and Local Joint Engineering Laboratory of Internet Application Technology on Mine, Xuzhou, China1
Kakao Brain, Seongnam, South Korea1
Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA1
INRIA - Willow Project, Laboratoire d´Informatique, École Normale Supérieure, France1
Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran1
Faculty of Electronics, Wrocław University of Science and Technology, 50 370 Wrocław, Wyb. Wyspianskiego 27, Poland1
Multi-Modal Biometrics Lab, Institute for Infocomm Research, Republic of Singapore. wyyau@i2r.a-star.edu.sg1
Electronics and Computer Department, Kumamoto Prefectural College of Technology, Japan1
Beijing Institute of Tracking and Telecommunications Technology, Beijing, China1
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 1196131
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613. jgwang@i2r.a-star.edu.sg1
Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, Australia1
Johns Hopkins Hospital, Baltimore, MD, USA1
School of Computer Science and Technology, Nanjing University of Science of Science and Technology, Nanjing, China1
Ocean System Engineering Research Division, Korea Research Institute of Ships and Ocean Engineering (KRISO), Daejeon, Republic of Korea1
Sichuan University West China Hospital of Stomatology, Chengdu, China1
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Computer Science and Artificial Intelligence, MIT, Cambridge, MA1
Autonomous System Laboratory, ICT Centre, Commonwealth Scientific and Industrial Research Organisation, Pullenvale, Australia1
ETH Zurich, Switzerland and KU Leuven, Belgium1
Università di Firenze, Firenze, Italy1
TELECOM Lille1/LIFL, Villeneuve d'Ascq, France1
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MIT, Media Lab,, MA, USA1
Aix Marseille Univ, CNRS, LIF, Marseille, France1
Xiamen Great Power GEO Information Technology Co., Ltd., Xiamen, China1
Information& Telecommunications Company of State Grid Zhejiang Electronic, Hangzhou, China1
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INRIA/Ecole Normale Supérieure, Paris1
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Department of Electrical and Electronic Engineering, University of Cagliari, Italy1
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Electrical Engineering, Faculty of Engineering Chiang Mai University, Chiang Mai, Thailand1
Biomedical Engineering Centre, Chiang Mai University, Chiang Mai, Thailand1
Centre for Smart Grid and Information Convergence, XJTLU, Suzhou, People’s Republic of China1
Xi’an Jiaotong-Liverpool University, Suzhou, People’s Republic of China1
Database/Bioinformatics Laboratory, College of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea1
Department of Data Platform, Ping An Technology (ShenZhen) Company Limited, Pudong New Area, People’s Republic of China1
College of Information Engineering, Shanghai Maritime University, Shanghai, People’s Republic of China1
Department of Applied Optics and Photonics, University of Calcutta, Kolkata, India1
Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, India1
Shenzhen Polytechnic, Shenzhen, P. R. China1
China Key System & Integrated Circuit Co. Ltd1
FX Palo Alto Laboratory1
Yamaha Motor Co., Ltd., Japan1
Chair of Computer Vision, Institute of Computer Science, Friedrich-Schiller-University, Jena, Germany1
École Normale Supérieure / PSL Research University, Paris, France1
Xi’an Jiaotong University, Xi’an, People’s Republic of China1
Department of Psychology, Southern Utah University, Cedar City, UT1
Marcus Autism Center, Children's Healthcare of Atlanta & Emory University School of Medicine, 1920 Briarcliff Rd NE, Atlanta, GA 30329, United States1
Imperial College London / University of Twente, SW7 2AZ, UK / Enschede, 7500 AE, NL, UK1
Mepco Schlenk Engineering College, Sivakasi, India1
Department:ECE, Mepco Schlenk Engineering College, Sivakasi, India1
ECE, Mepco Schlenk Engineering College, Sivakasi, India1
Institut de Robòtica i Informàtica Industrial, C. Llorens i Artigas 4-6, 08028, Barcelona, Spain1
Astellas Research Institute of America, IL, USA1
THALES Services - 91767 Palaiseau, France1
I3S, UMR UNS-CNRS 7271, University of Nice Sophia Antipolis, Nice, France1
Institut Universitaire de France (IUF), Paris, France1
Université de Toulon, La Garde, France1
Aix-Marseille Université, Marseille, France1
Department of Computer Engineering, Chiang Mai University1
Technische Universität München / Imperial College London, Munich / London, England UK1
ISTC-Pervasive Computing Intel Labs, Seattle, WA 98115, USA1
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Department of Computer Science, University of Paderborn, Pohlweg 47-49, 33098 Paderborn, Germany1
Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology(ICT), Beijing, China1
The 3rd Research Institute of Ministry of Public Security, Yueyang Road, Shanghai, P.R. China1
Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, 415 Fengyang Road, Shanghai, P.R. China1
Centre for Development of Advance Computing IIPC-Building, NIT Silchar Campus Silchar, India1
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Institute for Information technology National research Council of Canada Moncton NB Canada E1A 7R11
King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia1
Key Laboratory of Trusted Cloud Computing and Big Data Analysis, Nanjing Xiaozhuang University, Nanjing, China1
Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, 69134, France1
Department of Computer Science University Malaysia Terengganu, Terengganu, Malaysia1
School of Computer Science, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia1
ViNotion BV, P.O. Box 2346, 5600 CH, Eindhoven, NL1
Raytheon BBN Technologies, 10 Moulton St, Cambridge, MA1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. lpreis@fe.up.pt1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. eduardo.valgode@gmail.com1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. rbraga@pucrs.br1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. pmf@fe.up.pt1
Department of Electronic Devices, Circuits, and Architectures, Faculty of Electronics, Telecommunication and Information Technology, University “Politehnica” of Bucharest, Romania1
Beijing University of Posts and Telecommunications/The University of Western Ontario1
Shenzhen Sunwin Intelligent Corporation, Shenzhen, China1
School of Computer Science and Information System, Pace University, New York USA1
School of Computer Science and Information Systems, Pace University, New York, USA1
Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, India1
Siemens Biometrics Center, Siemens IT Solutions and Services, Strassgangerstrasse 315, 8054 Graz, Austria1
Neusoft Corporation, Shenyang 110179, China1
University of California, San Diego, La Jolla, USA1
SET Media Inc, San Francisco, USA1
Walmart Labs, Bengaluru, India1
Cisco Systems Inc., Bengaluru, India1
Computer Science and Systems Engineering Department, Engineering Research Institute of Aragon (I3A), University of Zaragoza, Zaragoza, Spain1
Multimedia Technologies Division, Aragon Institute of Technology, Zaragoza, Spain1
Honda Research Institute USA, Inc., 400 National Ave, Mountain View, CA 94043, USA1
Faculty of Information Engineering, China University of Geosciences, Wuhan, China1
School of Electronic and Information Engineering, Sun Yat-sen Univercity, Guangzhou, China1
Computational Science Center, Brookhaven National Laboratory, Upton, NY, USA1
China University of Geosciences Wuhan, China1
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China National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China1
The Faculty of ICT-Mahidol University, Thailand1
Fraunhofer Application Center for Wireless Sensor Systems, Am Hofbräuhaus 1, 96450 Coburg, Germany1
Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany1
School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA1
LM2S Research Unit, Charles Delaunay Institute, University of Technology of Troyes, France1
Shanghai Jitotong University, Shanghai, China1
INRIA Grenoble, Grenoble, France1
ETH Zurich, Zurich, Switzerland1
MIRACL Laboratory, College of Computers and Information Technology, Taif University, KSA1
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College of Information and Technology, Incheon National University, Incheon, Korea1
Department of Mechanical Engineering, Covenant University, Ota Ogun State, Nigeria1
Transportation Active Safety Institute (TASI), Indiana University-Purdue University Indianapolis, 46202 USA1
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Tianjin University & University of South Carolina, Tianjin, China1
Turkcell İletişim Hizmetleri A.Ş., Ankara, Türkiye1
Insititute of Automation, Chinese Academy of Sciences (CAS), Beijing, China1
Intelligent Autonomous Systems Group, Technische Universität München, Garching, Germany1
École Polytechnique Fédérale de Lausanne - CH-1015, Lausanne, Switzerland1
Itseez Incorporated, Nizhny Novgorod, Russia1
Hewlett-Packard Laboratories, 1501 Page Mill Road, MS 1203, Palo Alto, CA 94304, USA1
Department of Psychiatry, Indiana University School of Medicine, Indianapolis, USA1
Toshiba Corporation, Principal Office, Technology Planning Division, 1-1, Shibaura 1-Chome, Minato-ku, Tokyo 105-8001, Japan1
Multi Media laboratory, Toshiba Corporation, 1, Komukai-Toshiba-cho Saiwai-Ku, Kawasaki, Kanagawa Japan1
Integrated Circuits and Electronics Laboratory, Department of Engineering, Aarhus University, Denmark1
Department of Information Technology, Chandubhai S Patel Institute of Technology (CSPIT), Charotar University of Science And Technology, Changa - 388421, Gujarat, India1
Key Lab of Machine Learning and Computational Intelligence, College of Mathematics and Computer Science, Hebei University, Baoding, China1
Birmingham City University, Birmingham, UK1
Inst. of Computational Sci., ETH Zurich, Switzerland1
Department of Computer and Information Sciences, University of Alabama at Birmingham, USA1
Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA1
Department of Cognitive Science, University of California, San Diego, CA, USA1
Utechzone Co. Ltd., New Taipei City, Taiwan 2351
Vision & Sensing Group, HCC Lab, ESTeM University of Canberra, Australia1
Department of Electrical Engineering, University of Ulsan, 93 Daehak road, Nam-gu, Ulsan 680-749, Korea1
Electrical and Computer Engineering Department at Brigham Young University, USA1
Mechanical Engineering Department at Brigham Young University, USA1
IBM Research China, China1
University of Udine, Department of Mathematics and Computer Science, Via delle Scienze 206, 33100 Udine, Italy1
VISIONe lab, University/Industry joint laboratory, via Cjavecis 3, 33100, Udine, Italy1
Faculty of Media Engineering & Technology German University in Cairo, Egypt1
Faculty of Media Engineering and Technology, German University in Cairo, Egypt1
AvidBeam1
Faculty of Media Engineering & Technology, German University in Cairo, Egypt1
Media Laboratory, Huawei Technologies Co., Ltd, Shenzhen, China1
SiliconScapes LLC, USA1
Toshiba, Japan1
Gipsa-lab (Signal and Images Department), 961 rue de la Houille Blanche, BP 46 - 38402 Grenoble, France1
Vesalis company, Parc Technologique de la Pardieu, 10 rue Evariste Galois, 63000 Clermont-Ferrand, France1
University of Palermo, Palermo, Italy1
Institute of Nationality Cultural Information and Technology, Dalian Nationalities University, Dalian, Liaoning Province, China1
UMR 5141, CNRS, Telecom ParisTech, France1
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Malaysia1
Department of Electronics & Communication Engineering, Jeppiaar Engineering College, Chennai, TN India1
Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, TN India1
Dalian Key Laboratory of Digital Technology for National Culture, Dalian Minzu University, Dalian, China1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. mps04@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. sidnei@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. ccqs03@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. luciano@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. olga@inf.ufpr.br1
Academy of Mathematics and Systems Science, Chinese Academy of Science, Institute of Applied Mathematics, Beijing, China1
SINOPEC Petroleum Exploration and Production Research Institute, Beijing 100083, China1
School of Communication and Electronic Engineering, Qingdao Technological University, Qingdao 266033 China1
Dept. of Information Communication Yuan-Ze University, Innovation Center for Big Data and Digital Convergence, Taiwan1
Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan1
CNRS - IRIT, Toulouse, France1
Guangxi University, Electronics and Information, School of Computer1
Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany1
Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany1
Laboratoire d'InfoRmatique en Image et Systémes d'information Lyon Central School, University of Lyon, France: 69134 Ecully1
VARPA Group, University of A Coruña, A Coruña, Spain1
Department of Computer Science and Engineering, Sogang University, Seoul, Korea1
Collaborative & Innovative Center for Educational Technology (CICET) Central China Normal University, Wuhan, China1
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Barcelona, Spain1
Graduate School of the Chinese Academy of Sciences, Beijing, China1
Key Lab of Intelligent Information Processing, Chinese Academy of Sciences (CAS), China1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. zhangxiaoxun@bit.edu.cn1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. jiayunde@bit.edu.cn1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. xushuang@bit.edu.cn1
De Montfort University, Leicester, UK, LE1 9BH, +44 (0)116 20784901
Department of Psychology, Emory University, Atlanta, USA1
Division of Psychobiology, Yerkes National Primate Research Center, Emory University, Atlanta, USA1
Center for Behavioral Neuroscience, Atlanta, USA1
Division of Neuroscience, Yerkes National Primate Research Center, Emory University, Atlanta, USA1
Department of Psychology, University of Massachusetts-Amherst, Amherst, USA1
College of Mathematics & Information Science, Wenzhou University, Wenzhou, China1
UMR 5141, LTCI, Telecom ParisTech, France1
Institute of Mathematics of the Romanian Academy, Bucharest, Romania1
School of Mechanical Design and Automation Engineering, Seoul National University of Technology, 139-143, Seoul, Korea1
Samsung Electronics Co. Ltd., Suwon, Korea1
Department of Computer Science, The City University of Hong Kong, Hong Kong1
Jaguar Land Rover Research, Coventry, UK1
Institute of Infocomm Research, A-STAR, Singapore1
School of Mathematics and Physics, Anhui University of Technology, Maanshan, China1
Department of System Eng. and Computation, State University of Rio de Janeiro, Rio de Janeiro, Brazil1
Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil1
Institut Mines-Telecom / Telecom Lille, CRIStAL, UMR CNRS 9189, Villeneuve d'Ascq, France1
ICPT and MIPT (SU), Moscow, Russia1
Department of Computer Science, 2500 University of Calgary, Calgary, Canada1
School of Mathematics and Information Technology, Nanjing Xiao Zhuang University, Nanjing, People’s Republic of China1
Univ. Bordeaux, Bordeaux IMS Talence, France1
Univ. La Rochelle, MIA La Rochelle, France1
CNRS, École Centrale de Lyon, University of Lyon, Lyon, France1
Nagoya Institute of Technology, Showa-ku, Japan1
NICTA Queensland Research Laboratory, Brisbane, Australia1
Department of Animal Science and Technology, Konkuk University, Seoul, South Korea1
Optronic Sensor Systems, Council for Scientific and Industrial Research, Pretoria, South Africa1
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne1
Electronic Microtechnology (CSEM), Neuchâtel1
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne and Electronic Microtechnology (CSEM), Neuchâtel1
Department of Computer Science, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 02792, Korea1
Bilgisayar Mühendisliği Bölümü, İTÜ, Turkey1
Philips Research, Eindhoven, The Netherlands, berk.gokberk@philips.com1
ECE Department, CyLab, Carnegie Mellon, Pittsburgh, USA1
Advanced Technologies Application Center, Playa, Cuba1
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DICGIM, University of Palermo, Palermo, Italy1
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Department of Computer Science, University of Science & Technology, Bannu, Pakistan1
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Roche Pharmaceutical Research and Early Development; Neuroscience, Ophthalmology and Rare Diseases, F. Hoffmann-La Roche Ltd., Basel, Switzerland1
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Australian Centre for Robotic Vision (ACRV), Brisbane, Qld., Australia1
Mathematics and Computer Science Department, , Grambling State University, Grambling, LA, USA1
Center of Information Development and Management, Hefei University, Hefei 230061, China1
Ecole Centrale de Lyon LIRIS Laboratory, CNRS, France1
CDTA, Algeria1
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Massachusettes Institute of Technology Media Lab, Cambridge, MA, USA1
Jiangsu Automation Research Institute, Lianyungang, China1
In-Q-Tel, Menlo Park, CA USA1
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Equipment Development and Application Research Center, Air Force Engineering University, Xi’an, China1
Department of Early Warning Surveillance Intelligence, Air Force Early Warning Academy, Wuhan, China1
Graduate School of Engineering, Mie university, Mie, Japan1
Department of Transportation Engineering, Beijing Institute of Technolgoy, 100081, China1
Instituto de Investigaciones en Ingeniería Eléctrica (IIIE), Universidad Nacional del Sur-CONICET. Av. Alem 1254, Bahía Blanca CP 8000, Argentina1
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Shenzhen Key Laboratory of High Performance Data Mining, Shenzhen, China1
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Computer Science Department, School of Information Science and Engineering, Xiamen, University, Xiamen, People’s Republic of China1
École d'Ingénieur Généraliste en Informatique et Technologies du Numérique (EFREI), France1
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Computer Science Department, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil1
Virtual Humans Simulation Lab, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil1
Dept. Of Information and Communication Engineering, Dongguk University, Gyeongbuk, Korea1
School of Electronics Engineering, Kyungpook National University, Taegu, Korea1
The Pennsylvania State University, University Park, PA 16802, USA1
Ecole Centrale Paris, Antony, France1
CEA, Gif-sur-Yvettes, France1
CEA & Ecole Centrale Paris, Gif-sur-Yvettes, France1
Computer Science and Artificial Intelligence Department, University of Alicante, Spain1
Digital Media Department, Huawei Software Technologies Co., Ltd. Nanjing, China1
Dept of Electrical and Computer Engineering, University of South Alabama, AL, USA1
Alcatel-Lucent Bell Labs, Centre de Villarceaux, Nozay, France1
Laboratoire Hubert Curien, UMR CNRS 5516, Université de Lyon, Université Jean Monnet de Saint-Etienne, Saint-Etienne, France1
LE2I Laboratory. Univ. Bourgogne Franche Comté, F21000, Dijon, France1
Department of Business Computer, Faculty of Management Science, Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima, Thailand1
Yahoo! Research1
Yahoo Research, Haifa, Israel1
Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel1
Intelligent Robotics Research Center Korea Institute of Science and Technology (KIST) Hawolgok-dong 39-1, Sungbuk-ku, Seoul 136-791, Korea dungding@kist.re.kr1
Department of Computer Science and Engineering, University of Liberal Arts, Bangladesh (ULAB), House No. 56, Road No. 4/A, Satmasjid Road, Dhaka 1209, Bangladesh1
Electronic Telecommunication Division, Ho Chi Minh City University of Industry, Ho Chi Minh City, Vietnam1
Research & Development Department, Broadcast Research and Application Center, Ho Chi Minh City, Vietnam1
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IT Department, Faculty of Engineering, University of Mons, Belgium1
Zhejiang Huayun, Zhejiang, China1
Google, Inc, Mountain View, USA1
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Qualcomm, Santa Clara, CA1
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Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing 100094, P.R. China1
The Testing Center, The Third Research Institute of the Ministry of Public Security, Shanghai, China1
Department of Electrical and Electronics Engineering, Center for Image Analysis (OGAM) Middle East Technical University, Ankara, Turkey1
Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA1
Redwood Systems, Fremont, CA,USA.1
Information & Control Engineering, Hankyong National University, Anseong, 456-749, Korea1
Department of Electrical and Computer Engineering Rose-Hulman Institute of Technology Terre Haute, IN 47803 mu@Rose-Hulman.edu1
Rakuten, Inc., Japan1
iRobot Corporation, 10 Greycoat Place, Victoria, London, UK1
INRS-EMT, Montreal, Canada1
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Computer Vision Research Group, Orand S.A. Estado 360 of 702, Santiago, Chile1
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Guangdong University of Technology and City University of Hong Kong1
LIFL, Télécom Lille 1, UMR USTL/CNRS 8022, France1
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Vesalis, Clermont Ferrand, France1
CMM, Mines Paristech, Fontainebleau, France1
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Thales Optronics, Glasgow1
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Honda Research Institute USA, Inc., 425 National Avenue, Mountain View, CA-94043, USA1
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China Electronics Technology Group Corporation, Beijing, China1
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Lenovo Group Ltd, Beijing, China1
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University of Applied Sciences Jena, Jena, Germany1
Department of Mechanical and Aerospace Engineering, Syracuse University, USA1
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Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan1
University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland1
AGV Systems Pvt. Ltd. Mumbai1
Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Eskişehir, Türkiye1
Nanyang Technological University School of Computer Engineering1
Department of Computer Science & Engineering, Shri Mata Vaishno Devi University, Katra, India1
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Department of CSE & IT, Madhav Institute of Technology and Science, Gwalior, India1
Google DeepMind1
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Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai, China1
Information Center, Criminal Investigation Department of Shanghai Public Security Bureau, Shanghai, China1
Kodak Alaris, Inc., Rochester, NY, USA1
Department of Electronics and Electrical Engineering, Indian Institute of Technology (IIT) Guwahati, Guwahati, India1
University of Zagreb, Croatia1
Fraunhofer Institute for Computer Graphics Research, Germany1
Electronic Engineering Department, (MicroE), Universidad de Antioquia, Medellin, Colombia1
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Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain1
Electrical Department National, School of Engineering, Ibn ElJazzar, 5019, Monastir, Tunisia1
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Technology Section, Israel National Police, Jerusalem, Israel1
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EY AI Lab, Palo Alto, USA1
Macquarie University, Sydney, Australia1
Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education, China1
University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany1
Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom1
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Shenzhen Center for Disease Control and Prevention, Shenzhen, China1
MBRDNA, Sunnyvale, US1
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Department of Computer Science, University of Brasilia, Brasília, Brazil1
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School of Information Science and Technology, Northwest University1
Department Of Space, SRO Satellite Centre (ISAC), Bengaluru, India1
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Department of Psychonomics and Psychopharmacology, Utrecht University, Utrecht, The Netherlands1
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Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki City, Japan1
School of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai, China1
University of the Basque Country UPV/EHU, San Sebastian, Spain1
Computer Vision Center, Edifici “O”, Campus UAB, Bellaterra, Spain1
University of Antwerp, Wilrijk, Belgium1
CSIRO ICT Centre, Sydney, Australia1
Telecommunications and Information processing (TELIN), Ghent University, Ghent, Belgium1
DGA, Bagneux, France1
Universit´a di Salerno, 84084 Fisciano1
Hewlett-Packard Laboratories, Palo Alto, CA, USA. tong.zhang@hp.com1
Military College of Signals. Rawalpindi, Pakistan1
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School of Computing and Communication, University of Technology, Sydney, Australia1
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Department of Electrical Engineering, Imperial College, London, UK1
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School of Engineering, University of California, Merced, CA1
Institute of Image Processing and Pattern Recognition, Xi’an Jiaotong University, Xi’an, Shaanxi, China1
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Department of Computer System and Communication, Faculty of Information and Communication, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia1
Division Télécom, Centre de Développement des Technologies Avancées - CDTA, Algiers, Algeria1
Mechanical and Systems Research Laboratories, Institute of Industrial Technology Research, Hsinchu, Taiwan 310, China1
The Norwegian Color and Visual Computing Laboratory, Gjøvik University College, P.O. Box 191, N-2802, Norway1
Department of Ultrasound, Affiliated Shenzhen Maternal and Child Healthcare Hospital of Nanfang Medical University, 3012 Fuqiang Rd, Shenzhen, P.R. China1
the Crash Safety Research Center, LLC, East Hampton, CT, USA1
UPSud/INRIA Université Paris-Saclay, Saint-Aubin, France1
Instituto Nacional de Astrofísica, Puebla, Mexico1
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Department of Statistics and Computer Science, University of Peradeniya, Sri Lanka1
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Department of Information Technology, YCCE, Nagpur, India1
Dept. of Comput. Graphics Technol., Purdue Univ., West Lafayette, IN, USA1
Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, People’s Republic of China1
ITK Engineering GmbH, Computer Vision Team, Lollar, Germany1
Department of Mathematics/Computer Science, Philipps-University of Marburg, Marburg, Germany1
IBM T.J. Watson Research Center, Hawthorne, USA1
University of Science Technology, Wuhan, China1
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Division of Pediatric Ophthalmology and Adult Strabismus, The Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, USA1
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National University of Ireland, Maynooth, Ireland1
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College of Information and Control Engineering, China University of Petroleum, Beijing, China1
Chinese Academy of Science, Institute of Information Engineering, Beijing, China1
Department of Computer Science and Digital Technologies, Northumbria University Newcastle upon Tyne, NE1 8ST, UK1
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Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University Hefei 230039, China1
Samsung Computer Vision Group Telecom R&D Center Beijing1
SeaTech School, Toulon University, La Garde, France1
LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France1
School of information technology, Jiangxi University of Finance and Economics, Nanchang, Jiangxi, 330013, China1
Islamic Azad University Arak Branch, Young Researchers Club Arak, Iran1
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Dept. of Child and Adolescent Psychiatry and Psychotherapy, University of Cologne, Köln, Germany1
LE2i Laboratory, University of Burgundy, Dijon, France1
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Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS), Pilani, India1
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School of Mathematics and Statistics, Guangdong University of Finance and Economics, Guangzhou, China1
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Division of Digital Media Engineering, Sang-Myung University, Suwon, Republic of Korea1
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Ocular Imaging Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore1
Hue University of Sciences, Vietnam1
Laboratoire de Télécommunications et Télédétection, UCL, Louvain-La-Neuve, Belgium1
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Indian Institute of Engineering Science and Technology, Shibpur, India1
Department of Computer ScienceCortical Architecture Imaging and Discovery Laboratory, University of Georgia, Athens, GA, USA1
Civolution Technology, Eindhoven, The Netherlands1
Toyota Technological Institute1
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PolyU Shenzhen Research Institute, Shenzhen, China1
Intel, Kontich, Belgium1
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Qualcomm Technologies, Inc., San Diego, CA1
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Interactive Systems Labs, Computer Science Department, Universität Karlsruhe (TH), Am Fasanengarten 5, 76131, Karlsruhe, Germany. email: stiefel@ira.uka.de1
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Chinese Academy of Engineering, Beijing, China1
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Artificial Intelligence Center, University of Oviedo at Gijón, Gijón, Spain1
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Weta Digital, Wellington, New Zealand1
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Center for AI & Robotics, DRDO Complex, Bangalore, India1
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AMF-319, IŞIK University, Ístanbul, Turkey1
North China Sea Environmental Monitoring Center, State Oceanic Administration1
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Ship Intelligence, Rolls-Royce Marine1
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MediaTek, Inc., Hsinchu, Taiwan1
UBTECH Robotics, Shenzhen, China1
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Multimedia Systems Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran1
Elektronik ve Haberleşme Mühendisliği Bölümü1
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Engineering Research Center of Information Networks, Ministry of Education, Beijing, China1
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Electronic Information Engineering College, Henan University of Science and Technology, Luoyang, China1
Universidad de León, León, Spain1
Netflix, Los Gatos, CA, USA1
Adobe Systems, San Jose, CA, USA1
Department of Electrical and Electronic Engineering, Shizuoka University, Shizuoka, Japan1
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NTT Data Corporation, Toyosu Center Bldg Annex, 3-3-9, Koto-ku, Tokyo 135-8671, Japan1
Robert Bosch Engineering and Business Solutions Limited, Bangalore, India1
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Microsoft Research Redmond, Redmond, USA1
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Department of Electronic Engineering and Computer Science, The Catholic University of America, Washington, DC, USA1
Dept. of Appl. Electron., Fraunhofer Inst. for Integrated Circuits, Erlangen, Germany1
Faculty of Electrical and Computer Eng., Babol University of Technology, Babol, Iran1
Graduate Program of Multimedia Systems and Intelligent Computing, National Cheng Kung University and Academia Sinica, Tainan, Taiwan1
Computer Vision and Robotic Laboratory, Instituto Superior Técnico, Lisbon, Portugal1
Learning Algorithms and Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne, EPFL-STI-I2S-LASA, Lausanne, Switzerland1
College of Transportation and Management, Dalian Maritime University, Dalian 116026, China1
LG Electronics Institute of Technology, Seoul, Korea1
Departments of Medical Imaging and Medical Biophysics, University of Western Ontario, London, ON, Canada1
Down Syndrome Research Foundation, Vancouver, BC, Canada1
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Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA1
Illinois Univ., Urbana, IL, USA1
C-Core, St. John's, Nfld., Canada1
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National Institute of Technology, Hamirpur, India1
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Department of Electronic and Electrical Engineering, Gaziantep University, Gaziantep, Turkey1
Université Of Bourgogne, France1
Huawei Research and Development, Santa Clara, CA, USA1
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Laboratory of Psychopathology and Neuropsychology (LPN, EA2027), Université Paris 8, Saint-Denis 93526 cedex, France1
UC San Diego, La Jolla, CA1
School of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Fuzhou, China1
Shenzhen Konka Communication Technology Company, China1
Institute of Molecular Biology and Biophysics, ETH Zurich, Otto-Stern-Weg 5, 8093 Zurich, Switzerland1
Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany1
Center for Research in Intelligent Systems, University of California Riverside, Riverside1
Center for Research in Intelligent Systems and the Department of Computer Science, University of California Riverside, Riverside1
Center for Research in Intelligent Systems and the Department of Electrical Engineering, University of California Riverside, Riverside1
Blaise Pascal University, France1
University of Sousse, Tunisia, Blaise Pascal University, France1
ENSEEIHT, Toulouse, France1
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School of Electrical Engineering and Computer Science, University of Bradford, Bradford, UK1
Max-Planck-Institute for Informatics, Saarbruecken, Germany1
University of Erlangen-Nuremberg, Erlangen, Germany1
Cornell University & Facebook Inc., New York, NY, USA1
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Department of Radiology and Imaging Sciences, Winship Cancer Institute, Emory University School of Medicine, Atlanta, USA1
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Digital Western1
Cooperative Medianet Innovation Center, Shanghai, China1
Nauto Inc., 380 Portage Ave., Palo Alto, CA 94306, USA1
St. Pölten Univ. of Applied Sciences, St. Pölten, Austria1
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Labri, University of Bordeaux, France1
National Technical University of Athens/ University of the Aegean, Athens, Greece1
Signal and System Research Unit, ENIT, le belvedere 1002, Tunis, Tunisia1
CoR-Lab, University of Bielefeld, Universitaetsstr. 25, 33615 Bielefeld, Germany1
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Machine Intelligence Research Institute, Rockville, USA1
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City University of Macau, Xian Xing Hai, Macau1
Zhuhai Da Hengqin Science and Technology Development Co.,Ltd, Zhuhai, China1
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Psychology Department at California State University, Fullerton, California, US1
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Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada1
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Psychology Department, University of California, Santa Barbara, CA 93106 USA1
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LaBRI, University of Bordeaux, Talence, France1
Computer Vision Laboratory (CVLab), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
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National University of Singapore & National University of Defense Technology, Singapore, Singapore1
INESC TEC, Porto, Portugal1
Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India1
University of Manouba, Republic of Tunisia1
University of South Wales, UK1
Lawrence Berkeley National Laboratory1
Sookmyung Women’s University, Seoul, Republic of Korea1
Haldia Institute of Technology, Haldia, India1
Department of Computer Science & Engineering, Mary Matha College of Engineering & Technology, Paliyodu, Neyattrinkara, Trivandrum District, Kerala, India1
Univ. La Rochelle, La Rochelle, France1
The Second Hospital of Nanjing, Nanjing, China1
University of Applied Sciences Berlin (HTW), Berlin, Germany1
Antal Bejczy Center for Intelligent Robotics Óbuda University1
IM&T Operations Assistant NEP Shared System Group, Northumbria Healthcare NHS, Stokesley, UK1
Centre for Innovation in IT Services and Applications (iNEXT), University of Technology, Sydney, Australia1
Video Surveillance Laboratory, Guizhou University for Nationalities, Guiyang, China1
College of Arts and Sciences, Shanxi Agricultural University, Shanxi, China1
CAAC Academy of Flight Technology and Safety, Civil Aviation Flight University of China, Guanghan, China1
Intelligent Vehicles & CognitiveRobotics Group, Technical University Delft, The Netherlands1
Research Division, Anyvision, Belfast, U.K.1
Reference Centre on Interactive Television, Aragon Institute of Technology, Spain1
Electrical department, Azad University of Takestan, Takestan, Iran1
Computer department, Raja University of Qazvin, Qazvin, Iran1
Electrical and Computer department, Azad University of Qazvin, Qazvin, Iran1
Dipartimento di Informatica, Università Degli Studi di Torino, Turin, Italy1
Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan1
Faculty of Philosophy, Languages and Literature, and Human Sciences, University of Sao Paulo, Sao Paulo, Brazil1
School of Arts, Sciences and Humanities, University of Sao Paulo, Sao Paulo, Brazil1
Guangxi Normal University, Guilin, China1
Facultad Informatica, Universidad Politecnica de Madrid, Boadilla del Monte (Madrid), Spain. lbaumela@fi.upm.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. pjimenez@depeca.uah.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. jnuevo@depeca.uah.es1
Departamento de Ciencias de la Computación, Universidad Rey Juan Carlos, Móstoles (Madrid), Spain. josemiguel.buenaposada@urjc.es1
Department of Electronics, University of Alcala Alcalá de Henares (Madrid), Spain. bergasa@depeca.uah.es1
School of Computer Science, Shaanxi Normal University, Xi’an, China1
Engineering Laboratory of Teaching Information Technology of Shaanxi Province, Xi’an, China1
Key Laboratory of Modern Teaching Technology, Ministry of Education, Xi’an, China1
Dept. of Comput. Sci., Harbin Inst. of Technol., China1
Tsuruoka National College of Technology, Tsuruoka, Yamagata, Japan 997-85111
Kurume National College of Technology, Fukuoka, Japan 835-85551
Faculty of Information Technology, Thai-Nichi Institute of Technology, Bangkok, Thailand 102501
Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan1
Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan1
MIRACL-Faculty of Sciences, Sfax University, Sfax, Tunisia1
MIRACL-Faculty of Economics and Management, Sfax University, Sfax, Tunisia1
Department of Electrical and Electronic Engineering, Auckland University of Technology , Auckland, New Zealand1
Department of Computer Engineering, Qazvin Islamic Azad University , Qazvin, Iran1
Faculty of Electrical Engineering and Information Technology, Technische Universität München, 85290, Germany1
Nokia Research, Palo Alto, CA1
Department of Computer Science & Engineering, P A College of Engineering, Mangalore, India1
Vision Semantics Ltd1
Department of Nuclear Engineering, University of California, Berkeley, USA1
Department of Computer Science, University of California, Berkeley, USA1
Department of Computer Science and LIASD research Laboratory, University of Paris 8, Saint-Denis, France1
Vocational School of Teachers and Technology, Jiangxi Agricultural University, Nanchang, China1
School of Mathematics and Computer Science, Jiangxi Science and Technology Normal University, Nanchang, China1
College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China1
Dept. of Electrical Engineering & Computer Science, Ningbo University, Ningbo, P. R. China1
Intel Israel, Haifa, Israel1
Microsoft Corporation, Redmond, WA1
Mechanical Engineering, Kettering University, Flint, Michigan, U.S.A.1
Electrical & Computer Engineering, Kettering University, Flint, Michigan, U.S.A.1
Information Security Group, City University London, London, UK1
School of Physics and Electronic Information Engineering, Wenzhou University, Wenzhou, China1
IIIT Chittoor, SriCity, Andhra Pradesh, India1
Ecole Centrale Paris & INRIA Saclay, France1
School of Information Engineering, Tianjin University of Commerce, Tianjin, China1
JD.com, Beijng, China1
State Key Laboratory of Information Security, Institute of Information Engineering, CAS, Beijing, China1
Electrical Engineering Department Sharif University of Technology Tehran, Iran1
Laboratoire d’Imagerie, de Vision, et d’Intelligence Artificielle, École de Technologie Supérieure, Université du Québec, Montreal, Canada1
The School of Computer Science and Engineering Beihang University, Beijing Key Laboratory of Digital Media, Bejing, China1
Department of Electrical and Electronic Engineering, Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey1
Intelligent Systems Research Centre, Near East University, Lefkosa, Mersin 10, Turkey1
School of Computer Science, Carnegie Mellon University (USA)1
UMR CNRS 5205, INSA-Lyon, LIRIS, Université de Lyon, CNRS, Lyon, France1
Department of Electrical-Electronics Engineering, Boğaziçi University, Istanbul, Turkey1
INRIA - WILLOW Project1
Department of Embedded Systems Engineering, Incheon National University, Incheon, South Korea1
School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, India1
Department of Korean Language Education, Incheon National University, Incheon, South Korea1
School of Electrical Engineering and Information, University of Sichuan, Chengdu, China1
College of Computer Science, Sichuan Normal University, Sichuan, China1
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China1
CIDIS - FIEC, Escuela Superior Politecnica del Litoral. Guayaquil, Ecuador1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak, Tapah, Malaysia1
Department of Computer Engineering, Taif University, Taif, KSA1
Department of Physics and Computer Science, Pacific Lutheran University, Tacoma, WA, USA1
Dept. Physics, Montana State University, Bozeman, MT 59717, USA1
NTIS - New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
Laboratorio de NeuroCognición, Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, Mexico1
Information Access Division, NIST, Gaithersburg, MD, USA1
Department of Federal Police - Brasilia - Brazil1
Industry Centre, Shenzhen polytechnic, Shenzhen, China1
School of Mathematics and Computer Sciences, Gannan Normal University, Ganzhou, China1
Dept. of Electronics and Communications Engineering, R. J. I. T. Takenpur, Gwalior-4750051
Department of Electrical and Computer Engineering, Brunel University London, UB8 3PH, UK1
Department of Applied Mathematics and Analysis, Universitat de Barcelona, Barcelona, Spain1
Motorola Human Interface Labs, Tempe, Arizona 85284, USA1
GRAM, University of Alcalá, Alcalá de Henares, Spain1
Texas A & M University at Qatar, Doha, Qatar1
NTT Data Corporation, Kayabacho Tower, 1-21-2 Shinkawa, Chuo-ku, Tokyo 104-0033, Japan. Email: sakanoh@nttdata.co.jp1
Advanced Technologies Application Center (CENATAV), 7a # 21812 b/218 and 222, Siboney, Playa, Havana, Cuba1
Key Laboratory of Ministry of Education for Broad Band Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China1
Tencent1
Dalian Maritime University, Dalian, China1
Department of Electrical Engineering, IIT, Roorkee, India1
Measurement, Control and Mircotechnology , University of Ulm, Ulm, 89075 Germany, Germany1
Active and passive safety vehicle system development, Continental Safety Engineering International GmbH, Alzenau, Bayern, Germany1
Computer Science, Friedrich-Alexander Universitat Erlangen-Nurnberg, Erlangen, Germany, Germany1
University of Petroleum and Energy Studies, Dehradun, India1
Institut Telecom, Telecom Paris, LTCI, France1
ITeam, Universitat Politècnica de València, Valencia, Spain1
Microsoft Research Asia, Beijing, 100080, P. R. China1
The University of Auckland, Auckland Bioengineering Institute, Auckland, New Zealand1
Private Practice, Auckland, New Zealand1
Formerly Repatriation General Hospital Concord, Sydney, Australia1
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy1
CONICET, SINC(i)-FICH-UNL, Ciudad Universitaria, Santa Fe, Argentina1
CONICET, CIDISI-UTN-FRSF, Santa Fe, Argentina1
TTI Chicago1
ICSI, UC Berkeley1
Department of Electrical Engineering, Yazd University, Iran1
Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan1
University Blaise Pascal, Aubière, France1
iRobot Corporation, Bedford, MA, USA1
Department of Computer Science and Engineering, Toyohashi University of Technology, Aichi 441-8580, Japan1
Institute for Neural Computation University of California, San Diego1
Max Planck Institute for Intelligent Systems in Tübingen, Germany1
Science and Technology on Electro-optic Control Laboratory, Luoyang,471009,China1
Faculty of Computing and Information Technology, Setapak, Malaysia1
University of Brunei Darussalam, Faculty of Science, Brunei Darussalam1
Graduate School of Information Science and Technology The University of Tokyo, Tokyo, Japan1
Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Poland1
Department of Computer Science, Kuwait University, Safat, Kuwait1
IEMN DOAE UMR CNRS 8520 Laboratory, Polytechnic University of Hauts-de-France, Famars, France1
Laboratory of LGEB, University of Biskra, Biskra, Algeria1
Laboratory of LESIA, University of Biskra, Biskra, Algeria1
Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute Wako-shi, Saitama, 351-0198, Japan1
Xi'an University of Science and Technology, Xi'an, China1
Xi'an Polytechnic University, Xi'an, China1
Bahirdar Institute of Technology, Bahir Dar, Ethiopia1
Department of Electrical Engineering, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
Pearl Special Needs Foundation, Ahmedabad, Gujarat, India-3800071
Centre for Cognitive Science, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK1
Computer Science Department, University of California, Los Angeles, CA, USA1
Southwest Research Institute, San Antonio, USA1
Singapore Bioimaging Consortium, A*STAR, Singapore, Singapore1
Centre de Developpement des Technologies Avancees, Algeria1
Department of Information Science and Technology, Northwest University, Xi'an, China1
School of Computer Science and Electronic Engineering, University of Essex, United Kingdom1
American University of Science & Technology, Department of Mechatronics Engineering, Faculty of Engineering, Beirut, Lebanon1
Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain1
School of Electrical Engineering, Yanshan University, Qinhuangdao, China1
Faculty of information and engineering institute, Yangzhou University, Yangzhou, People’s Republic of China1
ECE, Department MSIT, C-4 Janakpuri, New Delhi, India1
FSU, Tallahassee, Tallahassee, FL, USA1
LIFL University of Lille 1, Lille, France1
Visual Analytics Research Group, Leibniz Information Centre for Science and Technology (TIB), Hannover, Germany1
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, ˙Istanbul, Türkiye1
Department of Electrical Engineering & Computer Sciences, UC Berkeley1
Insititute of Information Science, Academia Sinica, Taipei, Taiwan1
Data and Knowledge Engineering Laboratory, School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand1
Center for OPTical IMagery Analysis and Learning and Xi'an Institute of Optics and Precision Mechanics, Xi'an, China1
FEECS, Department of Computer Science, Technical University of Ostrava, Ostrava-Poruba, Czech Republic1
Deanship of E-learning and Distance Education, Umm AL-Qura University, Mecca, Saudi Arabia1
Department of Computer Science and Information, Institute of Statistical Studies and Research, Cairo University, Cairo, Egypt1
Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Dept of Electrical Engineering and Computer Engineering, Université de Sherbrooke, Quebec, Canada1
Faculty of Computer Science, University of Hertfordshire, Hatfield, U.K.1
Faculty of Computer Science, Bishop's University, Sherbrooke, Québec, Canada1
Key Laboratory of Intelligent Information Processing, Shandong Normal University, Jinan, China1
School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, People’s Republic of China1
Institute of Life Sciences, Shandong Normal University, Jinan, China1
RWTH Aachen, Aachen, Germany1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan. e-mail: chihming.fu@gmail.com1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan; Informatics Department, Fo-Guang University, I-Lan, Taiwan. e-mail: clhuang@ee.nthu.edu.tw1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan1
Jingdezhen Ceramic Institute, Jingdezhen, China1
Facial Nerve Center, University Hospital Jena, Jena, Germany1
Department of Otorhinolaryngology, University Hospital Jena, Jena, Germany1
Department of Computer Science, Friedrich Schiller University, Jena, Germany1
University of Hawaii at Hilo, Hilo, HI1
Environmental Lab, US Army Engineer Research and Development Center, Vicksburg, MS, USA1
University of Tehran, Department of Management and Accounting, University of Tehran, Tehran, Iran1
Shahid Beheshti University, Computer Engineering Department, Shahid Beheshti University, Tehran, Iran1
Statistics, University of California, Los Angeles, USA1
Department of Electrical Engineering and Information Technology, TU Darmstadt, D-64283, Germany1
Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, AP, India, 5180011
KLA-Tencor Software India Private Limited, Chennai, India 6000961
Signal Processing Laboratory (LTS4) EPFL-FSTI-IEL-LTS4, Lausanne1
Technicolor, IRISA, University of Rennes 1, Rennes, France1
Department of Electrical and Electronic Engineering, University of Imperial College, London, UK1
VISILAB group, University of Castilla-La Mancha, Ciudad Real, Spain1
Computer Engineering Department, Yildiz Technical University, Istanbul, TR1
Electric and Electronic Engineering Department, Bosphorus University, Istanbul, TR1
Dept. of Marine Engineering, Tokyo University of Marine Science and Technology, Japan1
Elektrik - Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs1
Department of Medicine, University of Massachusetts Medical School, Worcester, MA1
Tianjin Sharpnow Technology Co. Ltd., China1
Department of Information and Communication Technology, F. M. University, Balasore, India1
School of Computer Engineering, KIIT University, Bhubaneswar, India1
Department of Computer, Luo Yang Institute of Science and Technology, 471023, Henan, China1
Library of Xuchang University, Xuchang University, 461000, Henan, China1
Information Engineering College, Central University for Nationalities, Beijing, 100081, China1
ELVEES NeoTek, JSC, Zelenograd, Russia1
Research and Development Center «ELVEES», Zelenograd, Russia1
Pontifical Catholic Univ of Rio de Janei, Department of Informatics, Rio de Janeiro, Brazil1
Department of Informatics, Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil1
Beijing Etrol Technologies Co., Ltd., Beijing, China1
MOEKLINNS Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Fortiss GmbH, affiliated institute of Technische Universität München, Munich, Germany1
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA1
Department of Computer and Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL1
Department of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia1
University of the Basque Country (UPV/EHU), Leioa, Spain1
Signal Theory and Communications Department (DTSC), Carlos III University of Madrid (UC3M), Getafe, Spain1
Fraunhofer Institute for Computer Graphics Research, Technology University of Darmstadt, Darmstadt, Germany1
National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China1
Signal Theory Department, Polytechnic School, University of Madrid, Spain1
Computer Engineering, University of Alcala, Alcalá de Henares, 28806 Madrid, Spain1
Computer Engineering Department, University of Alcala, Alcala de Henares, 28805 Madrid, Spain1
Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland1
School of Electrical and Electronics Engineering, Nanyang Technological University 639798, Singapore1
Research and Development Department, AnKe Smart City Technology Company Ltd., Shenzhen, China1
College of Computer Science, Inner Mongolia University, Inner Mongolia, China1
University of Surrey Guildford, UK1
College of Artificial Intelligenge and Big Data, ChongQing University of Electronic Engineering, Chongqing, China1
Department of Physics and Technology, University of Norway, P.O. Box 114 Blindern, NO-0314, TromsØ, Norway1
The Graduate Center, City University of New York, New York, NY, USA1
National Institute of Technology Goa, Ponda, India1
VIGpro Laboratory, The University of Kitakyushu, Japan1
Department of Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden1
Gwangju Institute of Science and Technology, Buk-gu, South Korea1
University of Regina, Regina, Canada1
Centers of Excellence in Science and Applied Technologies, Islamabad, Pakistan1
The Hebrew University1
Academic College of Tel-Aviv-Yaffo1
Sudan University of Science and Technology, College of Computer Science and Information Technology, Khartoum - Sudan1
Department of ECE, University of California, Riverside, CA, USA1
Department of CSE, University of California, Riverside, CA, USA1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil, 31270-9011
Bundesdruckerei GmbH, Berlin, Germany1
Otto-von-Guericke, University of Magdeburg, Magdeburg, Germany1
EMMi - Entertainment and Media Management Lab., Department of Business Information Management and Logistics, Tampere University of Technology (TUT), Tampere, Finland1
Queensland University of Technolgy, Australia1
Department of Multimedia Engineering, Mokpo National University, Jeonnam, South Korea1
Technical University of Eindhoven, Eindhoven, Netherlands1
School of Engineering of UABC, University of Baja California, Tijuana, Mexico1
National Institute of Informatics, Japan & University of Tokyo, Tokyo, Japan1
Huazhong University of Science of Technology, China, Wuhan, China1
School of Software, Shenyang University of Technology, Shenyang, China1
Chongqing Vocational Institute of Engineering, Chongqing, China1
no.1 tanhu 2nd road, canglong island, jiangxia district, Wuhan, China1
Microsoft Bing, Sunnyvale1
Umm al Qura University & University of Grenoble Alpes, Makkah, Saudi Arabia1
Umm al Qura University & Universiti Sains Malaysia, Makkah, Saudi Arabia1
Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain1
Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan, R.O.C.1
The University of Haifa, Haifa, Israel1
Department of Psychology, Pennsylvania State University, University Park, PA, USA1
Foundation for Research & Technology – Hellas, Heraklion, Crete, Greece1
Vrije Universiteit Amsterdam, Amsterdam, The Netherlands1
Ruhr-Universität Bochum, Bochum, Germany1
Sapienza Università di Roma, via Salaria 113, 00198, Italy1
LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France1
Faculty of Engineering, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia1
LED-IT Fusion Technology Research Center and Dept. of Electronic Engineering Yeungnam University, 214-1 Dae-dong Gyeongsan-si Gyeongsangbuk-do, Korea1
HIK VISION, Hangzhou, China 3100271
College of Computer Science, Hangdian University, Hangzhou, China 3100271
Department of Information Engineering and Mathematics - University of Siena - Siena, Italy1
Department of Information Engineering - University of Florence - Florence, Italy1
E. U. Politecnica, Universidad de Castilla-La Mancha, Cuenca, Spain1
Science and Technology Unit, Umm Al-Qura University, Makkah Saudi Arabia1
School of Mathematics Science, Liaocheng University, Liaocheng, China1
Department of Neurosurgery, Rennes University Hospital, Rennes, France1
Faculty of Electrical & Electronics Engineering, Shijiazhuang Vocational Technology Institute, 050081, China1
Victoria University of Technology, Australia1
Advanced Engineering Department, DELPHI Automotive1
Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Modena, Modena, Italy1
University of California, David, USA1
Visvesvaraya National Institute of Technology, Nagpur, India1
Toyohashi University of Technology, Toyohashi, Japan1
Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France1
Institute Pascal, Universite Blaise Pascal, Clermont Ferrand, France1
TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy1
Bell Laboratories Research, Murray Hill, NJ, USA1
SCSE, VIT University (Chennai Campus), Chennai, India1
Rajalakshmi Engineering college and Research Scholar, VIT university1
Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway1
Institute of Psychology, Heidelberg University, Heidelberg, Germany1
Center of Research and Development, SenseNets Corporation, Shenzhen, China1
Department of Computer Science, City University of Hong Kong Kowloon, Hong Kong, China1
Kamaraj College Thoothukudi, Tamil Nadu, India1
Sathyabama University, Jeppiar Nagar, Chennai, Tamil Nadu, India1
School of Computer Science and Engineering, Hebei University of Technology, Guangrong Road No.8, Hongqiao District, Tianjin, China1
Media Analytics Department, NEC Laboratories America, Cupertino, CA, USA1
Department of Informatics, King’s College London, Strand, London, UK1
Institut Pascal, Blaise Pascal University, 24 Avenue des Landais, Clermont-Ferrand, France1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, People’s Republic of China1
School of Communication Engineering, Nanjing Institute of Technology, Nanjing, People’s Republic of China1
Automotive IT Platform Research Team, ETRI, Daegu, South Korea1
Department of Computer Engineering, SunMoon University, Asan, South Korea1
University of Bremen1
DeePhi1
Stanford University and DeePhi1
Ecosurv Environmental Consultants, Maun, Botswana1
University of Botswana Okavango Research Institute, Maun, Botswana1
Department of Biology, California State University Northridge1
Institute of Statistics Science, Huazhong Agricultural University, Wuhan, China1
College of Science, Huazhong Agricultural University, Wuhan, China1
Department of Computer Science, Faculty of Science, Minia University, El-Minia, Egypt1
University of Texas, Texas, USA1
Universitat de Barcelona & Computer Vision Center, Barcelona, Spain1
Universitat Oberta de Catalunya & Computer Vision Center, Barcelona, Spain1
Universitat Autonoma de Barcelona & Computer Vision Center, Barcelona, Spain1
University of Barcelona & Computer Vision Center, Barcelona, Spain1
Institut für Informatik VI, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany1
Dept. of Comput. Sci., Huaqiao Univ., Quanzhou, China1
Center for Imaging Science, Department of Biomed-ical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
UMass Lowell-MA, USA1
Daimler A.G, Boeblingen, Germany1
Auckland University of Technology, Auckland, New Zealand1
Department of Computer Science, Periyar University, Salem, India1
Mitsubishi Electr. Res. Lab., Cambridge, MA, USA1
School of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, China1
School of Engineering and Information Technology, Murdoch University, Murdoch, WA, Australia1
Elektrik-Elektronik Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Bilgisayar Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Department of Mechanical Engineering, PurdueSchool of Engineering and Technology, IUPUI, USA1
Biomedical Signal Processing Laboratory, National Electronics and Computer Technology Center, Pathumthani, Thailand1
Elektrik-Elektronik Mühendisliği, Bölümü Gazi Üniversitesi, Ankara, Türkiye1
Bilgisayar Mühendisliği, Ahmet Yesevi Üniversitesi, Ankara, Türkiye1
Renai College of Tianjin University, Tianjin, China1
Institute for Infocomm Research (I2R) Visual Computing Department, Singapore 138632, Singapore1
Tilburg center for Cognition and Communication, Tilburg University, Tilburg, The Netherlands1
The Pennsylvania State University1
Disney Research1
National Institute of Advanced Industrial Science Technology, Japan1
College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang1
Industrial Technology Research Institute, China1
TecNM Instituto Tecnológico de Ensenada, Ensenada, Mexico1
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ensenada, Mexico1
Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, Mexico1
TecNM - Instituto Tecnológico de Tijuana, Calzada Del Tecnológico S/N, Fraccionamiento Tomas Aquino, Tijuana, Mexico1
Chiba Institute of Technology, Japan1
School of Information Science and Technology, Shandong Normal University, Jinan, China1
Mechatronics Group, University of Auckland, Auckland, New Zealand1
Visual Information Technologies, Jacobs University Bremen, Bremen, Germany1
School of Engineering, Auckland University of Technology, Auckland, New Zealand1
ESTIA, Bidart, France1
Institut Mines-Télécom, Télécom SudParis, Evry Cedex, France1
Department of Electrical and Electronic Engineering, Eeastern Mediterranean University, Famagusta, North Cyprus1
Laboratorio de Comunicaciones e ICYTE y Departamento Informática, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMDP), Mar del Plata, Argentina1
Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil1
Department of Electrical & Computer Engineering - Democritus University of Thrace, Greece1
Département Electronique et Physique, Institut National des Télécommunications, 9 Rue Charles Fourier, 91011 Evry France. Bernadette.Dorizzi@int-evry.fr1
CS Dept., UFMG, Brazil1
Argonne National Laboratory, USA1
KAUST Visualizatioin Core Lab., Thurwal, Saudi Arabia1
California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, USA1
VRVis Zentrum für Virtual Reality and Visualisierung, Vienna, Austria1
Department of Computer Science and Engineering, University of Colorado at Denver, Denver, USA1
Department of Computer Science, University of California at Irvine, Irvine1
Laboratoire Jean Kuntzmann, Grenoble, France1
Department of Computer Engineering, Umm Al-Qura University, Makkah, Saudi Arabia1
Digital Signal Corporation1
Department of ECE, Siddaganga Institute of Technology, Tumakuru-572103, India1
Department of ECE, PES University, Bengaluru-560085, India1
Department of Electrical and Computer Engineering, Khalifa University of Science Technology & Research, Sharjah, United Arab Emirates1
Pasadena, USA1
Faculty of Information Sciences and Engineering, Management and Science University, Selangor, Malaysia1
UTM-Big Data Center, Universiti Teknologi Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia1
School of Computer, Beijing Information Science and Technology University, Beijing, China1
The Experimental Teaching Center of Electronics information and Control, School of Automation, Beijing Information Science and Technology University, Beijing, China1
Research, MVTec Software GmbH, Munich, Germany1
Faculty of Informatics, Technical University of Munich, Munich, Germany1
Surf Sara BV, Science Park 140, Amsterdam, The Netherlands1
Multi-Agent Intelligent Simulation Laboratory (MISL), Mahasarakham University, Thailand1
Institute for Information and System Sciences, Science and Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China1
School of Information Science and Technology, Yunnan Normal University Kunming, 650092, China1
Samsung Electronics1
School of Economics and Management, University of Chinese Academy Sciences, Beijing, China1
Robotic Center, Mines ParisTech, 75272, France1
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Microsoft Research Asia, Beijing, China. xitang@microsoft.com1
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Cookpad, Inc., Tokyo, Japan1
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Xinjiang Vocational and Technical College of Communications, Wulumuqi, People’s Republic of China1
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SET Corporation, Arlington, VA, USA1
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Department of Information and Computer Science, Aalto University School of Science, Aalto, Finland1
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Honda Research Institute Europe GmbH, Offenbach, Germany1
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Sherbrooke University, Sherbrooke, Que´bec, Canada1
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Telecom Division, Centre de Developpement des Technologies Avancees, Algiers, Algeria1
Computer Vision Laboratory, DAP, Universita di Sassari, Alghero 07041, Italy1
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Henan Key Laboratory of Oracle Bone Inscriptions Information Processing, Anyang Normal University, Anyang, China1
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School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, China1
School of Electronics Engineering and Computer Science, Peking University Shenzhen Graduate School, Shenzhen, China1
Daimler AG Sindelfingen, Germany1
Department of Computer Engineering, Umm Al-Qura University, Mecca, Saudi Arabia1
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Samsung Advanced Institute of Technology, Gyeonggi-do, Korea1
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Thales Land and Air Systems, Élancourt, France1
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Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany1
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Departments of Art, Youngstown State University, Youngstown, OH 44555, USA1
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University of Leicester, Department of Engineering, UK1
College of Computer and Communication Engineering, China University of Petroleum (East China), Qingdao, China1
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Information Directorate, Air Force Research Laboratory, Rome, NY, USA1
Applied Soft Computing Lab, School of Computer Science and Engineering, Korea University of Technology and Education, Republic of Korea1
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Science, China1
Applied Statistics Laboratory, San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA1
PerceptIn1
Dept. of Electr. & Info. Eng., Zhejiang Univ., Hangzhou, China1
Union Visual Innovation Technology Co., Ltd., Shenzhen, China1
Department of Health Sciences, University of Leicester, UK, LE5 4PW1
Paris-Sud,Université Paris-Saclay, Orsay, France1
Université Paris-Saclay, Orsay, France1
Department of Computer Systems, Universidad Politécnica de Madrid, Madrid, Spain1
Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Zhejiang, China1
Telecom-Lille1, Lille, FRANCE; boulbaba.benamor@telecom-lille1.fr1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; johan.dhose@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; guerfi@iut.unif-evry.fr1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; chaari@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; mohamed.anouar_mellakh@it-sudparis.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; emine.krichen@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; mohsen.ardabilian@liris-edu.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; bernadette.dorizzi@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; liming.chen@liris-edu.eu1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; joseph.colineau@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; s.lelandais@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; dijana.petrovska@it-sudparis.eu1
Institute of Data Science and Technology, Shandong Normal University, Jinan, China1
Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria1
Signal and Image Exploitation (INTELSIG), Montefiore Institute, University of Liège, Liège, Belgium1
Criminal Intelligence Unit, Ohio Bureau of Criminal Identification and Investigation, Youngstown , OH, USA1
Department of Arts, Youngstown State University, Youngstown, OH, USA1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Material Handling and Logistics Systems1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Networked Systems and Services1
National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, 1-1-1 Higashi, Ibaraki 305-8566, Japan1
School of Information Science and Engineering, Yunnan Unversity, Yunnan, China1
VIT University, India1
Institute of Electronic Information Warfare, Electronic Engineering College, Naval University of Engineering, Wuhan, China1
University “Politehnica”, Bucharest, Department of Telecommunications, 1-3 Iuliu Maniu Blvd, 061071, Bucharest 6, Romania1
Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India1
Princeton University &Microsoft, Princeton, NJ, USA1
Microsoft &University of Washington, Redmond, WA, USA1
Dept. de Computación, Universidad Simón Bolívar, Caracas, Venezuela1
University of Balamand, Souk El Ghareb, Lebanon1
University Pau & Pays Adour, LIUPPA, EA3000, Anglet, France1
University Pau & Pays Adour, LIUPPA, EA3000, Mont De Marsan, France1
Center for Research in Intelligent Systems, University of California at Riverside, Riverside, CA, USA1
Department of Computer Science, University of California at Riverside, Riverside, CA, USA1
Shahrood University of technology, Shahrood, Iran1
Iran University of Science and Technology, Tehran, Iran1
Institute of Information Technology and Network Security, People’s Public Security University of China, Beijing, China1
University of Helsinki, Finland1
Robert Bosch GmbH, Abstatt, Germany1
OFFIS, Oldenburg, Germany1
Motilal Nehru National Institute of Technology, Allahabad, India1
Systems Research Institute, Polish Academy of Sciences, 6 Newelska Street, 01-447 Warsaw, Poland1
Research Center for Smart Vehicles, Toyota Technological Institute, Hisakata, Nagoya, Aichi, Japan1
Toyota Central R&D Labs., Inc., Nagakute, Aichi, Japan1
CICATA Querétaro, Instituto Politécnico Nacional, Querétaro, Mexico1
Miami University1
ICMC-USP, São Carlos, São Paulo, Brazil1
Dep. Computer Science and Statistics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil1
Adjunct, Effat University, Jeddah, Saudi Arabia1
School of Computer Science, Wuyi University, Jiangmen, China1
Department of Complex Systems, Computer Center, Russian Academy of Sciences, Moscow, Russia1
Center for Advanced Studies in Identity Sciences, The University of North Carolina at Wilmington1
Fakulti TeknologiDan Sains Maklumat, UKM, Bangi, 43600 Selangor, Malaysia1
Fakulti Teknologi Maklumat Dan Sains, Kuantitatif, UiTM, Shah Alam, 40000, Selangor, Malaysia1
Department of Electronics and Communication Engineering, Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh1
Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), Canberra, Australia1
Centre de Mathématiques et de Leurs Applications, Ecole Normale Supérieure de Cachan1
UCSD, San Diego, USA1
CCCE & CS, Nankai University, Tianjin, China1
Laboratory of Electronics (EμE), FSM, Monastir, Tunisia1
Le2i, UMR CNRS 5158, University of Burgundy, Dijon, France1
Center for Visual Computing, Ecole Centrale de Paris, France1
Electrical Engineering and Computer Science, School of Engineering, University of California at Merced, Merced, USA1
Institute of Informatics, University of Szeged Arpád tér 2, 6720 Szeged, Hungary1
School of Mechanical & Electrical Engineering, Longyan University, Fujian, China1
Department of Audit, Jiaying University, Guangdong, China1
School of Computer, Jiaying University, Guangdong, China1
Dept. of Electrical and Computer Engineering University of Illinois Urbana-Champaign (UIUC)1
Center for Development of Advanced Computing, Mumbai, India1
ETH Zurich, Zurich and ESAT-PSI/IBBT, KU Leuven1
LiberoVision AG, Zurich1
Department of Computer Science and Networked Systems, Sunway University, Subang Jaya, Malaysia1
MMA Laboratory, National Institute of the Applied Sciences and Technology, Carthage University, Tunis, Tunisia1
Electrical and Computer Engineering Department, Faculty of Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman1
Digital Research Center of Sfax, Sfax University, Sfax, Tunisia1
Laboratory of Computer and Embedded Systems, National School of Engineering of Sfax, Sfax University, Sfax, Tunisia1
Department of Plastic and Reconstructive Surgery, Indraprastha Apollo Hospital, Delhi, India1
Department of Computer Science, ETH Zurich, Switzerland1
School of Sociology, China University of Political Science and Law, Beijing 102249, China1
Department of Electrical Engineering, University of Mohamed Khider, Biskra, Algeria1
University of Sciences and Technology (USTHB) and CERIST, Algiers, Algeria1
Imense Ltd, Cambridge, UK1
Department of Information Technology, Indian Institute of Information Technology, Allahabad, India1
Lehrstuhl für Mustererkennung, FAU Erlangen – Nürnberg, Erlangen, Germany1
Department of Computer Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil1
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Ho Chi Minh, Vietnam1
Department of Computer Science & Engineering, Visvesvaraya National Institute of Technology, Nagpur, India1
PES Center for Pattern Recognition, PESIT - Bangalore South Campus, India1
University of California at Los Angeles (UCLA), Los Angeles, CA1
Massachusetts Institute of Technology (MIT), Cambridge, MA1
San Diego State University (SDSU), San Diego, CA1
National University if Singapore, Singapore, Singapore1
Weyond, Princeton, NJ, USA1
School of Information and Computer Sciences, University of California at Irvine, Irvine, CA, USA1
CPHHI, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia1
The Institute of Artificial Intelligence and Robotic, School of Electronic and Information Engineering, Xi’an Jiaotong University, Shaanxi, China1
Microsoft1
Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India1
SQUALIO Cloud Consulting, Riga, Latvia1
Advanced Diagnostics and Progressive Human Care Research Group, Universiti Teknologi Malaysia, Malaysia1
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Malaysia1
Department of Electrical Engineering, Universitas International Batam, Indonesia1
University at Buffalo, SUNY, NY 14260, USA1
Department of Business Planning & Information Systems, TEI of Crete, Agios Nikolaos, Greece1
Department of Computer Science and Engineering, University of California, Riverside, CA, USA1
Lockheed Martin Corporation, Orlando, FL, USA1
Institute of Computing, University of Campinas – UNICAMP 13083-852, Campinas, SP – Brazil1
Department of Applied Optics and Photonics, University of Calcutta, 92 APC Road, Kolkata 700009, India1
Multimedia Information Retrieval Lab Delft University of Technology, Netherlands1
University of Applied Sciences Western Switzerland, Sierre, Switzerland1
Dept. Mathematics and Computer Science, UB, Spain1
VNIT Nagpur-India1
Thapar University Patiala-India1
Manipal University Manipal-India1
Manipal University Jaipur-India1
ABV-IIITM Gwalior - India1
Department of CSE., Northern University. Dhaka, Bangladesh1
Department of ECE, East West University, Dhaka, Bangladesh1
College of Engineering, Graduate University of Chinese Academy of Sciences, Beijing, China1
Adobe Research, Bangalore, India1
R. V. College of Engineering, Bengaluru, India1
R.V. College of Engineering, Bengaluru, India1
A*STAR, Institute for Infocomm Research, Singapore, Singapore1
CVLab, Aragon Institute for Engineering Research, University of Zaragoza, Spain1
Sorbonne Universites, UPMC, Univ Paris 06 and CNRS, UMR 7222, ISIR, F-75005, Paris, France1
Math Dept, Faculty of Science, Helwan University, Cairo-Egypt1
MIT CSAIL and ETH Zürich, Switzerland1
Dep. Enginyeria Electrònica, C/ Colom 1 08222 Terrassa, UPC-CAMPUS TERRASSA, BARCELONA, SPAIN1
Shaoguan University, Shaoguan, Guangdong, China1
Department of Computer Sciences, Suleyman Demirel University, Almaty, Kazakhstan1
Department of Computational Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea1
Modern Economics & Management College, Jiangxi University of Finance and Economics, Nanchang, China1
Govt. College of Engineering, Amravati India1
M.I.T. College of Engineering Pune, India1
360 AI Institute, Beijing, China1
INRIA Grenoble-Rhone-Alpes, Cedex1
Southampton University, Southampton, UK1
Department of Psychology, University of Durham, Durham, UK1
Freie Universität Berlin and Fraunhofer Fokus1
Institute for the Management of Information Systems, R.C. Athena1
Freie Universität Berlin1
Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing, China1
Comput. Sci., State Univ. of New York, NY, USA1
UMR CNRS 7253, Heudiasyc, Université de Technologie de Compiègne, Compiègne Cedex, France1
Department of Computer Science, IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal1
Bilgisayar Mühendisliği Bölümü, Bilkent Üniversitesi, Ankara, Türkiye1
Council for Scientific and Industrial Research,Pretoria,South Africa1
Université Grenoble Alpes, CNRS, GIPSA-Lab, Grenoble, France1
Université Grenoble Alpes, CNRS, LIG, Grenoble, France1
Peking University & Shanghai Jaio Tong University, Beijing, China1
Département Images et Signal (DIS), GIPSA-Lab, Domaine Universitaire, Grenoble Cedex, France1
Vesalis, Clermont-Ferrand, France1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, China1
Shenzhen Institute of Wuhan University, Shenzhen 518057, Guangdong, China1
College of Computer Science, South-Central University for Nationalities, Wuhan 430074, China1
Chinese Academy of Science1
China Mobile Suzhou Software Technology Co., Ltd, Suzhou, 215000, China1
School of Information Technology, Madurai Kamarai University, Madurai, India1
Computer Science and Engineering, Sanjivani College of Engineering, Kopargaon, India1
Computer Science and Engineering, St.Peter’s University, Chennai, India1
Computer Science and Engineering, Panimalar Engineering College, Chennai, India1
Dept. Technology and Nautical Sciences, Aalesund University College, Postboks 1517, N-6025, Norway1
Vision and Image Processing Laboratory, Hanbat National University, Daejeon, South Korea1
Computer Science and Information Engineering, Fu Jen Catholic University, Taipei, Taiwan1
College of Computer and Information Engineering, Henan Normal University, Xinxiang, China1
SMC Society of IEEE1
Department of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan, 430074, China1
Department of Computer, College of Science, Diyala University, Diyala, 32001, Iraq1
Inst. of Information Science, Academia Sinica, Nankang, Taipei, Taiwan1
School of Economics and Management, Minjiang University, Fuzhou, Fujian, China, 4300731
Department of Electrical and Computer Engineering, Texas A&M University and Monash University, College Station, TX 778431
Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA1
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong1
Department of Information Engineering, Chinese University of Hong Kong1
Department of Information Engineering, Henan University of Science and Technology, Luoyang, China1
The center for neural computation, Hebrew university of Jerusalem, Israel 919041
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA1
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA1
Department of mechatronic technology of National Taiwan Normal University1
Departamento de Informa´tica, Universidad Carlos III de Madrid, Madrid, Spain1
University of Southern California / University of Houston, e-mail: sucontph@usc.edu1
Autonomous System Laboratory - CSIRO Digital Productivity Flagship - 1, Technology Court, Pullenvale, QLD, 4066, Australia1
Robotics, Systems and Control Program at ETH Zürich, Switzerland1
School of Information Science and Engineering, Changzhou University, Changzhou, People’s Republic of China1
Jiangsu Jinling Sci & Tech Group Co., Ltd, Nanjing 210008, China1
INRIA, WILLOW Project, Laboratoire d'Informatique de l'Ecole Normale Superieure, Paris, France1
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ1
Sony Electronics Inc., San Jose, CA, USA1
School of Computing and Information Systems, University of Melbourne, Melbourne, Australia1
Department of Mechanical and Electronic Engineering, Nanjing Forestry University, China1
National Institute of Pure and Applied Mathematics, Brazil1
Department of Psychology, University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy1
Malaviya National Institute of Technology, Jaipur, India1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Broadway NSW, Australia1
Department of Computer Science and Engineering, National Institute of Technology, Srinagar Garhwal, India1
School of Informatic, Linyi University, 276005, China1
Computer Science Department, State University of New York, Stony Brook, NY11794-4400, USA. E-MAIL: wbzhang2k@hotmail.com1
Ames HCI Group, Moffett Field1
Schafer Corporation, Arlington1
Science Applications International Corporation, Chantilly1
Beijing Technology and Business University Beijing, China1
Department of Mathematics, Taiyuan University of Technology, Taiyuan, China1
Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland1
Unit 75719 of the People's Liberation Army, Wuhan, China1
Department of Information Technology, Central China Normal University, Wuhan, China1
Department of Electrical Engineering, Universidad de Chile, Santiago, Chile1
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China1
Department of Computer Science & Engineering, Indian Institute of Technology (ISM), Dhanbad, India1
College of Computing & Informatics, Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia1
Department of Computer Science, International Islamic University, Islamabad, Pakistan1
Department of Computer Science and Engineering & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Department of Computer Languages and Systems & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
WILLOW project-team, Laboratoire d'Informatique de l'École Normale Supérieure ENS/INRIA/CNRS UMR 8548, INRIA, Paris, France1
Automatics Research Group, Universidad Tecnológica de Pereira, Pereira, Colombia1
School of Physics and Electronic Engineering, Taishan University, Tai’an, China1
School of Information Science and Engineering, Yanshan University, Qinhuangdao, China1
Ecole Nationale Superieure de Techniques Avancés, Palaiseau, France1
Toyota Technological Institute Chicago, Chicago1
Robótica y Manufactura Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ramos Arizpe, Mexico1
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, China1
Electronic Engineering College, Changchun University, 130022, China1
Universitat Politecnica de Catalunya Barcelona, Catalonia/Spain1
School of Pharmacy, Wenzhou Medical University, Wenzhou, China1
Department of Electrical Engineering, The City College of New York, New York, USA1
Université de Lorraine, LORIA, UMR 75031
Institute of Information Science & Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan1
Dept. of Computer Science and Information Engineering, Providence University, Taichung, Taiwan1
Agency for Science, Technology & Research, Institute for Infocomm Research, Singapore1
Tencent AI Lab, Shenzhen, China1
Beijing Jiatong University, China1
Institute of Informatics and Telecommunications, National Center for Scientific Research - “Demokritos”, Athens, Greece1
Dept. of Electron. & Inf. Eng., The Hong Kong Polytech. Univ., China1
Los Alamos National Laboratory Los Alamos, NM 87545, USA1
Technical center for the Mechanical Industry (CETIM), Senlis, France1
College of Information Sciences and Technology and the Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA1
Computer Aided Diagnosis and Therapy Solutions, Siemens Medical Solutions, Inc., Malvern, PA1
Department of Computer and Information Science, University of Mississippi, University, MS1
School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China1
Interdisciplinary Graduate School, Energy Research Institute@NTU, Singapore1
NOVA LINCS, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Caparica, Portugal1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia1
Millennium Information Technologies (MIT) Pvt. Ltd., Sri Lanka1
IT - Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal1
CEFITEC - Centro de Física e Investigação Tecnológica, Faculdade de Ciência e Tecnologia, Caparica, Portugal1
Georgia Tech Research Institute, Atlanta, 30318 USA1
IA, CAS, Beijing, China1
University of Washington and Google Inc.1
Google Inc.1
Institute for Deep Learning, Baidu, Sunnyvale, USA1
School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai, China1
NOAA /NGDC, 325 Broadway, Boulder, CO 803051
Institute for Neuroscience and Muscle Research, The Children’s Hospital at Westmead, Sydney, Australia1
Department of Paediatrics, University of Melbourne, Melbourne, Australia1
Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia1
Computer Science at the University of Maryland, College Park, MD 207421
Micro and Nano Devices and Materials Branch in the Sensors and Electron Devices Directorate at the US Army Research Laboratory, Adelphi, MD 207831
Neuroscience and Cognitive Science Program at the University of Maryland, College Park1
Swinburne University of Technology Sarawak Campus, Malaysia1
Human Language Technology (HLT) Group, MIT Lincoln Laboratory, Lexington, Massachusetts USA1
Department of Industrial Design, Tatung University, Taipei 104, Republic of China1
Department of Computer Science and Engineering, Tatung University, Taipei 104, Republic of China1
École Polytechnique Fédérale de Lausanne (EPFL), Computer Vision Laboratory, Switzerland1
WillowGarage, Menlo Park, CA, USA1
University of Texas at Austin; Facebook AI Research, Austin, USA1
Delhi Technological University, Delhi, India1
Department of Automation, Northwestern Polytechinical University, Xi’an, China1
School of Communication and Electronics, Jiangxi Science and Technology Normal University, Nanchang, China1
Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey akarun@boun.edu.tr1
Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl1
Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey hamdi.dibeklioglu@cmpe.boun.edu.tr1
Smeal College of Business, Pennsylvania State University, University Park, PA, USA1
Department of Electronics, Vishwakarma Institute of Technology Pune, India1
School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China1
College of Science, Xi’an Shiyou University, Xi’an, China1
Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, 400084, Romania1
University of Johannesburg, Johannesburg, South Africa1
Department of Electronic, Saad Dahleb University, Blida, Algeria1
Orthopaedic Biomechanics, Biomedical Engineering Department, Eindhoven University, Eindhoven, Netherlands1
Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom1
Center for Computational Imaging & Simulation Technologies in Biomedicine, University of Sheffield, Sheffield, United Kingdom1
Signal Processing Group, TU Darmstadt, Germany1
ICSI, UC Berkeley, USA1
MPI Informatics, USA1
Center for Development of Advanced Technology, Algiers, Algeria1
Department of Electrical and computer Engineering, Noshirvani University of Technology, Babol, Iran1
Department of Computer Science & Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Department of Electrical and Computer Engineering, West Virginia University Institute of Technology, Montgomery, USA1
School of Mathematics and Information Science, Chang’an University, Xi’an, China1
Evatix, Dhaka, Bangladesh1
BioMerieu, La Balme-les-Grottes1
TED, Moirans, France1
Thales Electron Devices (TED), Moirans, France1
Department of Audiology and Speech language pathology, Mackay Medical College, New Taipei City, Taiwan1
Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan1
Research Center for Science and Technology in Medicine, Tehran University of Medical Sciences, Tehran, Iran1
The Nature-Inspired Computational Intelligence Research Group, Kanpur, India1
Information and Computing Sciences, Utrecht University, the Netherlands1
Electro-Optics, TNO Defence Security and Safety, The Hague, The Netherlands1
Siemens Healthcare Technology Center, Princeton, USA1
NIH Clinical Center, Bethesda, USA1
3dMD, Atlanta, Georgia, USA1
School of Physics Electrical Information Engineering, Ningxia University, Yinchuan 750021, China1
Department of Computer Science, Auckland University of Technology, Auckland, New Zealand1
Maritime and Aerial Perception Systems Group, Jet Propulsion Laboratory, Pasadena, CA, USA1
School of Computer Science and Technology, Southwest Minzu University, Chengdu, China1
College of Computer Engineering, Yangtze Normal University, Chongqing, China1
Sch. of Inf. Eng., Dalian Maritime Univ., China1
Electronics and Optoelectronics Research Laboratories, ITRI, Hsinchu, Taiwan1
Department of Information Management, Huafan University, Taipei, Taiwan1
Department of Information Management, Huafan University, Taipei, Taiwan. E-MAIL: cytang@cc.hfu.edu.tw1
Yahoo! Research, Haifa, Israel1
CCCE, Nankai University Jinnan Campus, Tianjin, China1
Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium and Interuniveristy Microelectronics Center (IMEC), Leuven, Belgium1
Electronics and Communication Engineering, National Institute of Technology, Rourkela, Odisha, India1
Electronics and Instrumentation Engineering, Seemanta Engineering College, Mayurbhanj, Odisha, India, 7570861
Toyota Technological Institute at Chicago, Chicago, USA1
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, Paris, France1
Queensland Institute of Medical Research, Brisbane, Australia1
National ICT Australia, Eveleigh, Australia1
Ministry of Higher Education, Riyadh, Kingdom of Saudi Arabia1
Chongqing University of Technology, Chongqing, China1
School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing, China1
National research base of intelligent manufaturing service, Chongqing, China1
School of communication and information engineering Shanghai University, Shanghai 200072, China. ypguan@shu.edu.cn1
Department of Electrical and Electronic Engineering, Hasan Kalyoncu University, Gaziantep, Turkey1
School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland1
NEC Labs, Cupertino, CA1
Limos - CNRS UMR6158 Université Blaise Pascal, Campus des Cézeaux, 63173 Aubière, France1
College of Computer Science and Software Engineering, Auburn University, Auburn, U.S.A.1
College of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China1
Department of Computer and Information Science, University of Oregon, USA1
Gachon University, Gyeonggi-do, South Korea1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, 31270-0101
eSmile – Psychology for Children & Adolescents, Ciudad Real, Spain1
MAmI Research Lab, University of Castilla-La Mancha, Ciudad Real, Spain1
Indian Statistical Institute, Kolkata 7001081
Department of Computer Science, POSTECH, Korea. seungjin@postech.ac.kr1
Department of Computer Science, POSTECH, Korea. karma13@postech.ac.kr1
Guangxi University, Nanning, China1
Department of Electronics Engineering and Computer Science, Fukuoka University, Fukuoka, Japan1
Department of Electrical Engineering, Future Institute of Engg. & Mgmt., Sonarpur, Kolkata-700 1501
Department of Information Technology, ABACUS Institute of Engg. & Mgmt., Mogra, Hooghly-712 1481
Departament d’Informàtica, Universitat de Valencia, Valencia, Spain1
Department of Engineering and MaintenanceChina Mobile Group, Jiangsu Company, Ltd., Changzhou, China1
University of Applied Sciences, Technikum Wien, Vienna, Austria1
School of Information Engineering, Univ. of Science and Technology Beijing, Beijing1
Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA1
ECE Department, Union College, Schenectady, New York, sadilekt@union.edu1
ECE Department, Union College, Schenectady, New York, cotters@union.edu1
School of Mathematics and Physics, Anhui University of Technology, Maanshan, Anhui, China1
Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie (Sorbonne Universités), Paris, France1
Dep. Energía y Mecánica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador1
LIRIS UMR 5205, Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France1
Amazon, Berkshire, U.K.1
Computation-based Science and Technology Research Centre, The Cyprus Institute, Nicosia, Cyprus1
Tianjin Universtiy, Tianjin, China1
University of Verona, Italy1
University of Lancaster, Lancaster, United Kingdom1
University of Helsinki, Helsinki, Finland1
Deparment of Information Media Technology, School of Information and Telecommuncation Engineering, Tokai University, Japan1
College of Computer Science, Hangzhou, China1
College of Information Engineering, Shenzhen, China1
Centre for Quantum Computation and Intelligent Systems, University of Technology at Sydney, Sydney, NSW, Australia1
College of Computing Science & Information Technology, Theerthankar Mahaveer University, Moradabad, India1
Department of Information Technology, Shri Ram Murti Smarak College of Engineering & Technology, Bareilly, India1
Department of Computer Science, Shri Ram Murti Smarak College of Engineering & Technology, Unnao, India1
School of Engineering, Kerbala University, Karbolaa, Iraq1
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technoloy, Guilin, China1
Toshiba Corporation, Japan1
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy1
Nat. Biometrics Test Center, San Jose State Univ., CA, USA1
The Hong Kong Polytechnic University / Harbin Institute of Technology1
Department of Computer Engineering, EPOKA University, Tirana, Albania1
Faculty of Contemporary Sciences and Technologies, SEEU, Tetovo, Macedonia1
Research Innovation Center, Canon U.S.A. Inc., San Jose, USA1
Università di Catania, Catania, Italy1
LISA - ISTIA, University of Angers, Angers, France1
Escola Superior de Tecnologia do IPS, Setúbal, Portugal1
Sapienza Università di Roma, Rome, Italy1
Department of Electrical Engineering, Université de Biskra, Biskra, Algeria1
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Dept of Electrical and Computer Engineering, Texas A&M University, College Station, USA1
Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan1
Information Science and Technology Institute, Zhengzhou, China1
Zhengzhou Institute of Surveying and Mapping, China1
Zhengzhou Institute of Surveying and Mapping, Information Science and Technology Institute, China1
Robotics Research Center, Amirkabir University of Technology (Tehran Polytechnic), Iran1
Departiment of Informatics Bioengineering Robotics and Systems Engineering, Università degli Studi di Genova, Italy1
KU Leuven, ESAT - PSI, iMinds, Leuven, Belgium1
Centre de Recherche Cerveau et Cognition, Université Toulouse 3, Centre National de la Recherche Scientifique, Faculté de Médecine de Rangueil, 31062, France1
ViNotion B.V., Eindhoven, The Netherlands1
School of Computer and Information Technology, Liaoning Normal University, Dalian, China1
School of Computer Engineering, Iran University of Science and Technology, Narmak, Iran1
Microsoft & University of Massachusetts, Amherst, Redmond, WA, USA1
Microsoft & University of Washington, Redmond, WA, USA1
University of Orléans, Orléans, France1
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science & Technology, Room 309, 3nd floor, 4nd research center, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-gun, Daegu, 711-873, Republic of Korea1
Bilgisayar Mühendisliği Bölümü, MEF Üniversitesi, İstanbul, Türkiye1
Faculty of Engineering and Computing, Coventry University, UK1
Dept. of Theoretical Electrical Engineering, Technical University of Sofia, Sofia, Bulgaria1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, NSW 2008, Australia1
Department of Electrical Engineering, Mashhad Branch, Islamic Azad University Mashhad, Iran1
Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University Neyshabur, Iran1
Public Service Platform of Mobile Internet Application Security Industry, Shenzhen, China1
Shenzhen Applied Technology Engineering Laboratory for Internet Multimedia Application, Shenzhen, China1
Pontifical Catholic University of Minas Gerais - Department of Computer Science, R. Dom Jose Gaspar, 500, Belo Horizonte MG, 30535901, Brazil1
DSO National Laboratories, Singapore1
Shanghai Technical Institute of Electronics and Information, China1
Department of Geography Minjiang University, China1
China National Institute of Standardization, Beijing, China1
Eastman Kodak Company, Rochester, NY, USA1
Faculty of Computer Engineering, Munzur University, Tunceli, Turkey1
Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, UTBM, Belfort, France1
ETH Zurich, Zurich, Switzerland; KU Leuven, Leuven, Belgium. vangool@esat.kuleuven.be1
ETH Zurich, Zurich, Switzerland. leibe@vision.ee.ethz.ch1
ETH Zurich, Zurich, Switzerland. aess@vision.ee.ethz.ch1
Defence R&D Canada, Toronto, ON, Canada1
School of Computer, Zhejiang Wanli University, Ningbo, China1
Library, Zhejiang Wanli University, Ningbo, China1
Alexandria High Institute of Engineering and Technology-Egypt. Email: hassanfahmy36@hotmail.com1
School of Information Systems Singapore Management University, Singapore1
Hangzhou Institute of Service Engineering, Hangzhou Normal University, Zhejiang, China1
A.G. Patil Institute of Technology, Solapur, India1
Rani Channamma University, Belagavi, India1
School of Information Science and Engineering, Central South University, Changsha, People’s Republic of China1
Key Laboratory of Intelligent Computing and Information Processing, Ministry of Education, Xiangtan, People’s Republic of China1
School of Information Engineering, Xiangtan Universtiy, Xiangtan, People’s Republic of China1
Department of Geo-informatics, Central South University, Changsha, China1
Department of Computer & Software Engineering, Bahria University, Islamabad, Pakistan1
YouTu Lab, Tencent, Shanghai, China1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia1
Digital Image, Audio and Speech Technology (DIAST) Research Group, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Melaka (Kampus Jasin), 77300 Merlimau, Melaka, Malaysia1
Nokia Technologies, Tampere, Finland1
Institute of Infocomm Research, A-STAR Singapore1
Department of Mathematics and Computer Science, Universitat de Barcelona, Barcelona, Spain1
Universitat Politècnica de Catalunya, Vilanova i la Geltrú, Spain1
Fundació Privada Sant Antoni Abat, Vilanova i la Geltrú, Spain1
DFKI and Technical University - Kaiserslautern, Kaiserslautern, Germany1
Technical University, Kaiserslautern, Germany1
Computer Science Department, IT University of Copenhagen, Copenhagen, Denmark1
Department of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, China1
Nanjing Institute of Astronomical Optics and Technology, National Astronomical Observatories, Chinese Academy of Science, Jiangsu 210042, China1
School of Automation, Beijing Institute of Technology, Beijng, China1
Carnegie Mellon University and Disney Research, Pittsburgh1
Department of Mechanical Engineering, KAIST, Korea1
Department of Creative IT Engineering, POSTECH, Pohang, Korea1
Robotics Program, KAIST, Daejeon, Korea1
Information and Engineering College, Dalian University, Dalian, P. R. China1
Google Inc., Mountain View1
Adobe Systems Incorporated, San Jose, CA 95110, USA1
Dept. of IT Engineering, SSBT's College of Engineering and Technology, Bhambori, Jalgaon1
Dept. of Information Technology Engineering, MET's Institute of Engineering, Nashik1
Department of Computer Science, University of Toront, Toronto, Canada1
Computer Science & Engineering Bengal Engineering and Science University, Shibpur Howrah, India1
Electronics & communication Engineering Gurunanak Institute of Technology, Sodepur Kolkata, India1
Chinese Academy of Sciences Beijing, 100080, China1
Lab. IGM, Université Paris-Est1
ITI Department Telecom Bretagne, Brest, France1
Dept. of Electronics and Telecommunication Engineering, Assam Engineering College, Guwahati, Assam, India1
Dept. of Electronics and Communication Engineering, Gauhati University, Guwahati, Assam, India1
Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Malaysia1
Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Tunku Abdul Rahman University College, Wilayah Persekutuan Kuala Lumpur, Malaysia1
State Grid Liaoning Electric Power Supply CO. LTD, China1
Adobe Systems Incorporated, San Jose, CA, 951101
Computer Science and Engineering Department, Arizona State University. hliu@asu.edu1
Computer Science and Engineering Department, Arizona State University. zhaozheng@asu.edu1
Computer Science and Engineering Department, Arizona State University. jieping.ye@asu.edu1
Institute of Molecular Biosciences, Mahidol University, Nakhon Pathom 73170, Thailand1
Dept. of Applied Physics and Electronics, Umeå University, SE-901 87 Umeå, Sweden1
The Friedberg Genizah Project, Jerusalem, Israel1
College of Computer and Information Science, Northeastern Unciversity, Boston, USA1
University of N. British Columbia, Prince George, Canada V2N 4Z91
Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands1
Panasonic Singapore Laboratories1
ETS, Québec, Canada1
Blida University1
University of Southampton IT Innovation Centre, Southampton, UK1
Information and Communication Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
Visual Information Processing Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
Electrical Engineering Department, Xian Shiyou University, Xi’an, China1
School of Logistics, Engineering in Wuhan University of Technology, Wuhan, China1
School of Logistics, Engineering in Wuhan University of Technology Electrical and Electronic, Engineering in Hubei University of Technology, Wuhan, China1
Samsung Electronics, Yong-In, Gyeonggi-Do, Korea1
Department of Computer Science and Engineering, POSTECH, Pohang, Korea1
Computer Vision Center, Bellaterra, Spain1
68129 Army, Lanzhou, China1
Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Centre de Développement des Technologies Avancées, Baba Hassen, Finland1
School of Electrical Engineering, University of Ulsan, Ulsan, Korea1
Laboratory for Computer-Aided Circuit Design, University of Applied Sciences Aschaffenburg, Germany1
Pattern Recognition Lab, Department of Computer Science, University Erlangen-Nuremberg, Germany1
Department of Electrical Engineering, Faculty of Engineering, Aswan University, Egypt1
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, China1
Sardina Systems, Tallinn, Estonia1
Department of Internal Search Platform, Tencent Inc., Shenzhen 518060, China1
School of Computer and Communication Engineering, UniMAP, Malaysia1
Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kedah, MALAYSIA1
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, NY, USA1
Dipartamento di Informatica, University of Verona, Italy1
VARPA Group, University of A Coruña, Spain1
Institute of Computer Peripheral, XIDIAN University Xi'an, China1
Zhejiang Wanli University, Ningbo, China; Institute of Computer Peripheral, XIDIAN University Xi'an, China1
School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, China1
Dept. Electronics and Communication Engineering, Govt. of Karnataka R&D, Sahyadri College of Engineering & Management, Mangaluru, Karnataka, India1
A*STAR, Singapore / National University of Singapore, Singapore1
IBM Research India, New Delhi, India1
Room PQ809, Building P, The Hong Kong Polytechnic Univ, Hung Hom, Hong Kong1
National Lab of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, P.R. China1
Key Laboratory of Educational Informatization for Nationalities, Yunnan Normal University, Kunming, China1
Dalian Key Lab of Digital Technology for National Culture, Dalian Nationalities University, Dalian, China1
LETI-EHTP casablanca1
141
131
121
Harvard Medical School and Brigham and Women's Hospital, Boston, USA1
Harvard Medical School , Boston, USA1
Centre de recherche de l’Institut universitaire en santé mentale de Québec, Quebec City, Canada1
Centre interdisciplinaire de recherche en réadaptation et intégration sociale, Quebec City, Canada1
Faculté des sciences sociales, École de psychologie, Pavillon Félix-Antoine-Savard, Université Laval, Quebec City, Canada1
School of Computer Engineering, Sejong University, Seoul, 143-747, Korea1
Dept. of Computer Science, TU Kaiserslautern, Germany1
Robotics and Mechatronics Center, German Aerospace Center (DLR), Germany1
CARTIF Foundation, Valladolid, Spain1
Department of Computer & Information Science, Norwegian University of Science and Technology, Trondheim, Norway1
Research & Development, British Broadcasting Corporation (BBC), London, UK1
Faculty of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China1
Wide Eyes Technologies1
Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A∗STAR), Singapore, Singapore1
Department of Surveying Engineering, Technological Educational Institution of Athens, Athens, Greece1
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Athens, Greece1
Mayo Systems Electrophysiology Laboratory, Departments of Neurology and Biomedical EngineeringMayo Clinic1
Machine Learning GroupTechnische Universität Berlin1
Ghent University, Ghent, Belgium1
EECS Department at UC Berkeley, Berkeley, USA1
WILLOW Project, Département d’Informatique de l’École Normale Supérieure, ENS/INRIA/CNRS UMR 8548, Paris, France1
Air Force Research Laboratory at Rome, Rome, NY1
Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro No.1, Tonantzintla, Puebla, México. CP 728401
Harbin Institute of Technology & Tsinghua University, Harbin, China1
The State Key Laboratory of High-end Server and Storage Technology, Jinan, China1
Department of Digit Technology, No.38 Research Institute of CETC, hefei, China1
Department of public computer teaching, Hefei Normal University Hefei, China1
Department of Electronics and Communication, Delhi Technological University (Formerly DCE), Delhi, India1
Defense Research and Development Organization, Ministry of Defense, Delhi, India1
College of Forestry, Nanjing Forestry University, Nanjing, China1
Team of research IMAGE- GREYC laboratory, université de Caen Basse Normondie, 14000 Caen, France1
Hubei Key Laboratory of Intelligent Wireless Communications, South-Central University for Nationalities, Wuhan, China1
Department of Mechanical Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka1
Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka1
Distributed Events Analysis Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary1
Shenyang Institute of Automation, CAS, State Key Laboratory of Robotics, Shenyang, China1
Faculty of Environmental Engineering, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka, 808-0135, Japan1
Graduate School of Informatics and Engineering, University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan1
Karabuk University Turkey, Karabük1
Gaziosmanpaşa University Turkey, Tokat1
RIKEN, 7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan1
Department of Computer Science, Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan1
Omron corporation, Japan1
Department of Electrical Engineering, Beckman Institute of Advanced Science and Technology, Urbana, USA1
The Open University of Japan, Chiba-shi, Japan1
Pontificia Universidad Católica del Perú -- Artificial Intelligence Research Group (IA-PUCP), Lima - Peru1
LEAR Project-Team, Inria Grenoble-Rhône-Alpes, Laboratoire Jean Kuntzmann, Grenoble, France1
NVIDIA Research, Santa Clara, CA, USA1
“Grigore T. Popa” University of Medicine and Pharmacy, Iaşi, Romania1
School of Electronics Engineering, Kyungpook National University, Taegu, South Korea1
Department of Software Technology and Methodology, Faculty of Informatics, Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest H-1117, Hungary1
Chinese University of Hong Kong, Hong Kong, Hong Kong1
Sun Yat-sen University & Sensetime, Guangzhou, China1
Dept. of EE, KAIST, Korea1
CASIA, China1
Department of Electrical & Electronics Engineering, Kalasalingam University, Krishnankoil, India1
Department of Electronic and Telecommunication Engineering, University of Moratuwa, Katubedda, Moratuwa, Sri Lanka1
Division of Computer Engineering, Dongseo University, Busan, Korea1
Beijing Information Science and Technology University, Beijing Key Laboratory of Internet Culture and Digital Dissemination Research School of Computer Science, Beijing, China1
No.1 Senior Middle School of Wendeng District, Weihai, China1
Standards & Metrology Research Institute of CARS, Beijing, China1
College of Information Science & Technology, Hebei Agricultural University, Baoding, China1
Department of Electronics and Communication Engineering, P.S.N. College of Engineering and Technology, Tirunelveli, India1
Department Of Computer Science, TU Dortmund1
Honda Fundamental Research Laboratories, Honda R&D Americas, Inc., USA1
School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
Graduate School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
Boston, USA1
Boston, USA1
School of Cognitive Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran1
Department of Electrical and Computer Engineering, Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran1
University of Porto, Portugal1
Federal Institute of São Paulo, Araraquara, Brazil1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia1
Advanced Technology division, Toyota Motor Europe, Japan1
University of Massachusetts at Amherst, Amherst, MA, USA1
Department of Electrical and Computer Engineering, University of California, Santa Barbara1
Adelaide University, Australia1
LIRIS, Département Mathématiques Informatique, Ecole Centrale de Lyon, Ecully, France1
Albert-Ludwigs-Universität Freiburg, Computer Science Institute, Freiburg, Germany1
Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany1
NeuroRx Research, Montréal, Canada1
Stetson University, Computer Science1
Department of Communication and Electronic Engineering, Hunan City University, Yiyang, China1
University of Pretoria, Pretoria, South Africa1
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Computer Vision and Image Understanding Department, Institute for Infocomm Research, Singapore1
Folkhalsan Research Center Helsinki, Finland1
School of Medicine Indiana University Indianapolis, IN, United States1
Department of Child Neurology HUCH Hospital for Children and Adolescents Helsinki, Finland1
School of Medicine State University of New York Buffalo, NY, United States1
CleverSys. Inc., Isaac Newton Square, Reston, VA 20190, USA fayin.li@gmail.com1
KT Future Technology Laboratory, Seoul, South Korea1
Punjab Engineering College, Chandigarh, India1
Erciyes University, Engineering Faculty, Computer Engineering Department, 38039 Kayseri, Turkey1
Gazi University, Engineering and Architecture Faculty, Computer Engineering Department, 06570 Ankara, Turkey1
Department of Automation, East China University of Science and Technology, Shanghai, People’s Republic of China1
School of Management, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Engineering Research Center of Optical Instrument and System, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan1
College of Teacher Education, Wenzhou University, Wenzhou, China1
CAS Key Laboratory of Behavior Sciences, Institute of Psychology, Beijing, China1
Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia1
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA-100221
Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam-7880101
Ozyegin University, Istanbul, Turkey1
Federal Institute of Education, Science and Technology of Paraiba -, Esperanca, Brazil1
Computer Science Department, Federal University of Campina Grande, Paraiba, Brazil1
P.P.G. Institute of Technology, Coimbatore1
Dept. of ECE, Institute of Road and Transport Technology, Erode-638 316, India1
Department of Information Management, Hwa Hsia University of Technology, New Taipei City, Taiwan1
Department of Electronic Engineering, National Ilan University, Yilan City, Taiwan1
The University of Tokyo & JST PRESTO, Tokyo, Japan1
Baylor College of Medicine, Houston, TX, USA1
Cleveland Clinic, Cleveland, OH, USA1
Digital Technology International Group, Perth Airport, Australia1
University of Tokushima, Shinkuracho, 770-8501, Japan1
School of Electrical and Electronic Engineering, UniversitiSains Malaysia, USM Engineering Campus, 14300 NibongTebal, Pulau Pinang, Malaysia1
Institute of Computer Science, FORTH1
Information and Science Technology Institute, Peking University Shenzhen Graduate School, Shenzhen, China1
School of Software, Nanchang Hangkong University1
Institute of Computer Vision, Nanchang Hangkong University1
Key Laboratory of Medical Image Computing (Northeastern University), Ministry of Education, Shenyang, China1
School of Information and Control engineering, Liaoning Shihua University, China1
Neptec Design Group Ltd, Kanata, Canada1
Signal Network Technology Pty Ltd, Sydney, Australia1
Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia1
Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, Australia1
Dept. of Comput. Sci., Chicago Univ., IL, USA1
Neptec Design Group Ltd, Kanata, Ontario K2K 1Y5, Canada1
Yahoo Research Labs, Haifa, Israel1
Weizmann Institute, Rehovot, Israel1
Institute of Cognitive and Brain Sciences, University of California, Berkeley, USA1
Computer Science Department, University of California, Los Angeles, USA1
University of Nebraska-Lincoln, Lincoln, USA1
Department of Cognitive Sciences, Education and Cultural Studies, University of Messina, Messina, Italy1
Department of Mathematics, Lahore School of Economics, Lahore, Pakistan1
UTM-IRDA Digital Media Centre, Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Departments of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD1
Multimedia Signal Processing Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
University of Tunis El Manar, Tunis, Tunisia1
Center for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia1
College of Information and Control Engineering, China University of Petroleum, Qingdao, China1
Intel Labs Europe, Pipers Way, Swindon1
College of Computer Science and Technology, Guizhou University, Guiyang, China1
Visual Computing Group, Microsoft Research Aisa1
Visual Computing Group, Microsoft Research Asia1
Department of Electronics and Instrumentation, Birla Institute of Technology and Science, Pilani, India1
Jiangsu Province Traditional Chinese Medicine Hospital, Nanjing, China1
Department of Communication Engineering, Nanjing Institute of Technology, Nanjing, China1
School of Electrical Engineering and Automation, Tianjin Key Laboratory of Advanced Technology of Electrical Engineering and Energy, Tianjin Polytechnic University, Tianjin, China1
DIMAp/UFRN, Natal, Brazil1
Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 028811
Vulcan Inc, Seattle, WA 981041
Umm Al-Qura University, Makkah, Saudi Arabia1
School of mechanical and power engineering, Hennan Polytechnic University, Jiaozuo, China1
Institute of Information Technology (Comm. Electronics), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany1
ETS Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid1
Academia Sinica, Taiwan1
School of Software, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
UNSW, Sydney, Australia1
Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore1
Department of Information Technology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore-461
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Asiatech College, City of Sta. Rosa, Laguna, Philippines1
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines, Oriental Mindoro, Philippines and John Paul College MG Andaya Compound, Oriental, Mindoro, Philippines1
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Lyceum of the Philippines University - Laguna, Calamba City Philippines1
School of Automation, Beijing Institute of Technology, Beijing, China1
College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
National University of Computer and Emerging Sciences, Islamabad, Islamabad, Pakistan1
Department of Radiology, Mount Sinai West, New York, USA1
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, USA1
Yahoo, Sunnyvale, CA, USA1
Bell Labs, Cambridge, United Kingdom1
Institute of Forensic Medicine, University of Southern Denmark, Odense, Denmark1
INESC TEC, Universidade do Porto, Porto, Portugal1
School of Electronic, Electrical Engineering and Computer Science, The Queens University, Belfast, Northern Ireland1
Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia1
BITS Pilani, India , India1
Staqu Technologies1
Department of Computer Engineering Faculty of Engineering, MUT1
Department of Computer Engineering Faculty of Engineering, NPU1
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece1
Department of Health Sciences, University of Leicester, Leicester, Unithed Kingdom1
Physiotherapy Department, Maidstone & Tunbridge Wells NHS TrustTN2 4QJ1
Institute for Information Industry, Taipei City, Taiwan1
Department of Digital Humanities, Aletheia University, New Taipei City, Taiwan1
Raytheon BBN Technologies, Cambridge, MA1
Dept. School of Optoelectronic Information, University of Electronic Science and Technology of China Chengdu, China1
Institute of Measurement and Control Systems at Karlsruhe Institute of Technology, Karlsruhe, Germany1
Microelectronics and Control Systems, PES Institute of Technology Bangalore, Karnataka, India1
Dept. of Electronics & Instrumentation Engineering, University B.D.T. College of Engineering, Davanagere, Karnataka, India1
Dept. of Biomedicai Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India1
SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain1
Centrum Wiskunde & Informatica, Amsterdam, Netherlands1
DAUIN, Politecnico di Torino, Turin, Italy1
Intel Labs, Banglore, Karnataka, India1
National Engineering Laboratory for Druggable Gene and Protein Screening, Northeast Normal University, Changchun, China1
School of Mathematics and Statistics, Northeast Normal University, Changchun, China1
Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun, China1
Department of Science Program, Texas A&M University at Qatar, Doha, Qatar1
Dhofar University, Oman1
Université de Jendouba, Faculté des Sciences Juridiques, Economiques et de Gestion de Jendouba, Tunisia1
Department of Computer Science & Information Engineering, Shu-Te University, Taiwan1
Shenzhen Institute of Advanced Technology1
Telecom Division, Centre de Développement des Technologies Avancées, Algiers, Algeria1
Department of Computer Science Faculty of Computers and Information, Mansoura University, Mansoura, Egypt1
Department of Mathematics and Computer Science, University of Missouri-St. Louis, St. Louis, USA1
Department of Statistics, University of Nebraska-Lincoln, Lincoln, USA1
Texas A&M University at Qatar, Doha, Qatar1
Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland1
Department of Computer Engineering, The University of Isfahan, Isfahan, Iran1
Italian Institute of Technology, Milan, Italy1
Dept. of CSE CEC, Landran, Mohali, India1
NPU-VUB Joint AVSP Research lab, Vrije Universiteit Brussel(VUB), Pleinlaan 2, Brussels, 1050, Belgium1
Samsum R&D, Institute China-Beijing, Floor 18, Sun Palace Building, 12A Sun Palace Road, Chaoyang District, Beijing, 100020, China1
Synthes GmbH, Langendorf, Switzerland1
Computer Aided Medical Procedures (CAMP), TU Munich, Munich, Germany1
ImFusion GmbH, Munich, Germany1
Information and Communication Engineering, Rajshahi University1
Key Lab Complex System & Intelligence Science, Institute of Automation, Chinese Academy of Science, Beijing, China1
College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China1
Osaka Electro-Communication University, 18-8 Hatsucho, Neyagawa, Japan1
LIRE Laboratory, University of Constantine 2, Algeria1
TLSI Department, NTIC faculty, University of Constantine 2, Algeria1
Technical Reconnaissance Detachment of Public Security Bureau Lanzhou, Lanzhou, China1
Philips Applied Technologies, Eindhoven, Netherlands1
Philips Research Eindhoven, Eindhoven, Netherlands1
Zuse Institute Berlin, Berlin, Germany1
Yahoo Research, Sunnyvale, CA, USA1
Yahoo Research, New York City, NY, USA1
School of mathematics and statistics, Shaoguan University, Shaoguan, China1
Informatics and Telematics Institute, CERTH, Thessaloniki, Greece1
Department of Informatics, King’s College London, London, UK1
Department of Electrical Engineering, KAIST, Korea1
Department of New Media, Korean German Institute of Technology, Korea1
Department of Electrical, IT & Computer Sciences, Qazvin Islamic Azad University, Qazvin, Iran1
Department of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, rbd@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, tfq@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, msb@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, kbrady@ll.mit.edu1
Malmö University, Applied Mathematics Group, Östra Varvsgatan 11A, 20506, Sweden1
Biostatistics & Medical Informatics, and Computer Sciences, Univ. of Wisconsin-Madison, USA1
Haas School of Business, and Industrial Eng. and Operations Research, Univ. of California, Berkeley, USA1
VDG Security B.V., Zoetermeer, The Netherlands1
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: tokuda@ics.nitech.ac.jp1
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan. E-mail: nankaku@ics.nitech.ac.jp1
South China Agriculture University, Dept. of Computer Science and Technology, Guangzhou, China1
School of Communication and Information Engineering Shanghai University Shanghai, China1
Centre of Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan1
Advanced Research Institute, Institute for Information Industry, Taipei, Taiwan1
LAMIA, EA 4540, University of French West Indies and Guyana, Guadeloupe, France1
ISIR, UPMC Univ Paris 06, CNRS, Paris, France1
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10., czuni@almos.vein.hu1
System and Computer Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt1
Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia1
School of Electronics and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China1
Department of Mathematics and Computer Science, École centrale de Lyon, Écully, France1
Center for Image and Information, Processing, Xi'an University of Posts and Telecommunications1
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications, Xi'an, China1
Faculty of Electrical and Computer Engineering Urmia University1
Research Scholar, MPSTME, SVKM's NMIMS University, SFIT Borivalli(W) ,Mumbai 400 103, India1
MPSTME, SVKM's NMIMS University, Vile-Parle (W), Mumbai 400 056, India1
CSE dept., Green University of Bangladesh, Dhaka, Bangladesh1
CS dept., National Institute of Development, Administration, Thailand1
PLA University of Science and Technology, China1
Parrot S.A. 174 quai de Jemmapes, 75010 Paris, France1
Nokia Research Center, Beijing, 100084, China1
Instituto Tecnológico de Tijuana, Tijuana, México1
Department of Rehabilitation, Shanghai Tenth People’s Hospital, Shanghai, China1
Beijing Institute of Remote Sensing Information, Beijing, China1
Department of Electrical Engineering, University of Tulsa, Tulsa, USA1
Signal Theory and Communications Department, University of Vigo, jalba@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, lpfreire@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, pcomesan@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, fperez@gts.tsc.uvigo.es1
Signal Theory and Communications Department, University of Vigo, danisub@gts.tsc.uvigo.es1
LIGM (UMR CNRS), École des Ponts ParisTech, Université Paris-Est, France1
Équipe Galen, INRIA Saclay, Île-de-France, France1
Center for Visual Computing, École Centrale Paris, France1
Department of Information Engineering, HeNan Radio and Television University, Zhengzhou, People’s Republic of China1
Universiti Kuala Lumpur, Kedah1
Department of Computer Science, Shandong University at Weihai, China1
School of Computer Science and Information Systems, Birkbeck College, London, UK1
CSEE Department, University of Missouri Kansas City, Kansas City, USA1
College of Information Engineering, Northwest A&F University, Yangling, China1
IRIT-ENSEEIHT, FRANCE1
LEAR Group, INRIA Grenoble Rhône-Alpes, Montbonnot, France1
Dept. of Electronics and Communication Engg. M.S. Ramaiah Inst. of Tech. Bangalore-560054, India1
Department of Psychology, Ohio University, Athens, USA1
Mar-Baselious Institute of Technology & Science, Kothamangalam, Kerala, India1
Mahatma Gandhi University, School of Computer Sciences, Kottayam, Kerala, India1
Oxford Brookes University and Sony Computer Entertainment, London, UK1
Laboratoire Jean Kuntzmann, B.P. 53, 38041 Grenoble Cedex 9, France1
Dept. of Computer Science, Jinan University, Guangzhou, China, 5106321
Signal Processing Lab (LTS5), École Polytechnique, Fédérale de Lausanne, Switzerland1
Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian, China1
Université Grenoble Alpes, Irstea, UR ETGR, St-Martin-d’Hères, France1
Laboratoire Hubert Curien UMR 5516, UJM-Saint-Étienne, CNRS, IOGS, Université de Lyon, Saint-Étienne, France1
Department of Pattern Analysis and Computer Vision, Istituto Italiano di Tecnologia, Genoa, Italy1
Dept. of CS & IT, Jaypee Institute of I.T., Noida, India1
School of Engineering & Sciences, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Haryana, India1
Hainan University, China1
Nissan Research Center, Silicon Valley, USA1
School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China1
Department of Computer Science, University of Bucharest, Bucharest, Romania1
Faculty of Math. and Computer Science, University of Bucharest, Bucharest, Romania1
Centrum Wiskunde & Informatica (CWI), Amsterdam, Netherlands1
Georgia Tech, Atlanta, GA, USA1
Indian Institute of Information Technology & Management, Gwalior, India1
B. S. A. College of Engineering & Technology Mathura, India1
Washington University in St. Louis, St. Louis, USA1
Computer Vision and Remote Sensing, Berlin University of Technology, Berlin, Germany1
Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia1
Institute of Mathematics and Computer Science, The John Paul II Catholic University of Lublin, Lublin, Poland1
Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France1
King Abdullah University of Science and Technologh, V.C.C. Research Center, Thuwal, Saudi Arabia1
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, P.R. China1
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, Lyon, France1
Application Innovation Consultant with IBM, Taipei, Taiwan1
Dept. of Computer Science and Technology University of Bedfordshire United Kingdom1
Dept of ECE, KCG college of Technology Chennai, India1
Dept of ECE, Krishnasamy College of Engg and Technology, Cuddalore, India1
School of Electronics Engineering, Bharath University, Chennai, India1
University of Nottingham (Malaysia Campus), Malaysia1
Gipsa-Lab, Saint Martin d’Heres, France1
ICA Laboratory, Grenoble, France1
Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China1
Dept. of EE, UESTC, 2006 Xiyuan Ave, Chengdu, Sichuan 611731, China1
Dept. of Radiation Oncology, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA1
Dept. of Electrical & Computer Engineering, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA1
Department of Computer Science and Information Engineering, Chien Hsin University of Science and Technology, Taoyuan, Taiwan1
School of Computing and Electrical Engineering, IIT Mandi, H.P, 175001, India1
CEA, LIST, Vision and Content Engineering Laboratory, Gif-sur-Yvette, France1
INRIA, Montbonnot, France1
Film Department ELTE University, Budapest, Hungary1
Atos Turkey, Ankara, Turkey1
Defence Research and Development Canada, Toronto, Ontario1
United States Air Force Research Laboratory, Dayton, OH1
Army Research Laboratory, Sensors and Electron Devices Directorate1
Faculty of the Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China1
school of Software Engineering, Xi’an Jiaotong University, Xi’an, China1
School of Electronic Information Engineering, Hebei University of Technology, Tianjin, China1
Department of Research and Development, NanTong Memtech Technology CO., LTD, Nantong, Jiangsu Province, 226003, China1
Nanyang Technological University and Advanced Digital Science Center, Singapore1
University of Puerto Rico Bayamon, Bayamon, Puerto Rico1
Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, Edificio Central del Parque Científico-Tecnológico, Las Palmas, Spain1
Electrical Engineering Department, University of California, Santa Cruz, USA1
Information Access Division, National Institute of Standards and Technology (NIST), Gaithersburg, USA1
Tsukuba University, Tsukuba, Japan1
Laboratoire Jean Kuntzmann, Univ. Grenoble Alpes / CNRS, Grenoble, France1
SafranTech, Safran, Magny-les-Hameaux, France1
Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea1
University of British Columbia (Okanagan), Kelowna, BC, Canada1
Nippon Soken, Nishio, Japan1
Ascent Robotics, Tokyo, Japan1
Faculty of Information Technology, University of Moratuwa1
Austrian Institute of Technology, Austria1
College of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, China1
Department of Mathematics and Computer Science, Ursinus College, Collegeville, PA1
Dept. Electronic Engineering, National University of Ireland, Galway1
Indian Institute of Information Technology, Allahabad - India 1404131
ECE Department, Union College Schenectady, NY 12308, USA1
Department of Psychology, Washington University in St Louis, St Louis, USA1
Brain and Psychological Sciences Center, Swinburne University of Technology, Melbourne, Australia1
Minneapolis, USA1
Dept. of Software Engineering, ShenZhen Polytechnic, 518055,China1
Dept. of Electronics Engineering Indian Institute of Technology (BHU), Varanasi1
Institut de Robòtica i Informàtica, Industrial (CSIC-UPC), Spain1
Artesian Insights, Houston, USA1
Texas A&M AgriLife Blackland Research and Extension Center, Temple, USA1
Electrical Engineering Department, Engineering Faculty, Mataram University, Indonesia1
The University of Western Australia Crawley, Western Australia1
New Delhi, India1
MSIT, C-4 Janakpuri1
ECE Department, MSIT, C-4 Janakpuri, New Delhi, India1
University of Rhode Island, Kingston, USA1
TU Darmstadt, Computer Science Department1
Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000 Kulim, Kedah, Malaysia1
School of Computer and Communication Engineering, UniMAP, Perlis, Malaysia1
University of Hail, Saudi Arabia1
College of information engineering, Sichuan Agricultural University, Yaan 625014, P.R. China1
School of Computer Science, Chengdu University of Information Technology, Chengdu, China, 6102251
INRIA Grenoble, LEAR - LJK, Montbonnot, France1
Institute of Real Time Learning Systems, Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany1
Mechatronics Group, Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand1
Commonwealth Scientific and Industrial Research Organization (CSIRO)1
Research Institution of Intelligent Control and Testing, Graduate School of Tsinghua University at Shenzhen, 518055, China1
Rakuten Institute of Technology, Singapore 0489461
Department of Information Technology, Delhi Technological University, Delhi, India1
Central Research Lab, Bharat Electronics Ltd., Ghaziabad, India1
Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY1
School of Information Engineering, North China University of Technology, China1
Department of Electronic Engineering, National Chin-Yi University of Technology, Taiping City, Taiwan, R.O.C.1
Department of Computer Science and Information Engineering, National University of Tainan, Tainan, Taiwan, R.O.C.1
Institute of Photonics and Communications, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, R.O.C.1
Human Language Technology Department, Institute for Infocomm Research, Singapore1
ACROE-ICA, Grenoble, France1
Department of CSE, PDPM-IIITDM, Jabalpur1
Istituto Italiano di Tecnologia & University of Verona, Genoa & Verona, Italy1
Istituto Italiano di Tecnologia & University of Genoa, Genoa, Italy1
Istituto Italiano di Tecnologia, Genoa, Italy1
Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign (UIUC), USA1
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Coventry, UK1
Electrical Engineering Department, Faculty of Engineering, Higher Educational Complex of Saravan, Saravan, Iran, 99516341451
NICTA, Canberra Research Laboratory, Canberra, Australia1
Computer Vision Center, Campus UAB, 08193, Bellaterra, Spain1
Department of Computer Science and Information Engineering (DISI), Trento, Italy1
Department of Computer Science, University of Western Ontario, London, Canada1
School of Computer Science, Sichuan University Chengdu, China1
Machine Intelligence Laboratory, School of Computer Science, Sichuan University Chengdu, China1
Machine Intelligence Laboratory, College of Computer Science, Sichuan University Chengdu, China1
Department of Research, the People’s Bank of China, Zhengzhou Central Sub-Branch, Zhengzhou, China1
Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal1
Imperial College, London, England1
Department of Information Management, Yuan Ze University, Taoyuan, China1
Faculty of Engineering and the Built Environment, University of Johannesburg, Auckland Park, South Africa1
Department of Computer Engineering, Polytechnique Montréal, Montréal, QC, Canada1
Kiwi Technology Inc., Nanjing, China1
Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing, China1
University at Buffalo, The State University of New York, Buffalo, NY, USA1
Department of Geography Information Science, Honors College, Nanjing Normal University Nanjing, Jiangsu, 210023, China1
Elektrik ve Elektronik Mühendisliği Bölümü, TED Üniversitesi, Ankara, Türkiye1
School of Information Science and Engineering, YanShan University, Qinhuangdao, China1
Faculty of Industrial Science and Technology, Universiti Malaysia Pahang, Kuantan, Malaysia1
Computer Engineering Department, SVNIT, Surat, India1
Computer Engineering Department, B. V. M Engineering College, Vallabh Vidyanagar, India1
Institute for Deep Learning, Baidu, Sunnyvale, CA, USA1
Microsoft Advanced Technology Center, Beijing, China1
Department of Computer Applications, Guru Nanak Institute of Management and Technology, Ludhiana, India1
Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy1
Cadres Online Learning Institute of Yunnan Province, Yunnan Open University, Kunming, China1
VTT Technical Research Centre of Finland, Oulu, Finland1
Visual Information Processing, Department of Computing, Imperial College, London, UK1
College of Engineering, Huazhong Agricultural University, Wuhan P.R. China 4300701
School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea1
Department of Computer Science, University of Kiel, Kiel, Germany1
Computer Science Department 5, University of Erlangen-Nürnberg, Erlangen, Germany1
Department of Mathematics and Computer Science, University of Münster, Münster, Germany1
Intel Corporation & Portland State University, Hillsboro, OR, USA1
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ.1
Shaanxi Normal University, Xi’an, China1
Yahoo! Research, Sunnyvale, CA, USA1
Yahoo! Research, San Francisco, CA, USA1
National Technical University of Athens & Yahoo! Research, Athens, Greece1
Smart Network Software Development Department, SHARP Corporation, Higashihiroshima, Hiroshima 739-0146, Japan1
The Pennsylvania State University Applied Research Laboratory, University Park, Pennsylvania, USA1
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA1
Max Planck Institute for Intelligent Systems, Perceiving Systems Department, 72076 Tübingen, Germany1
Computer Science Department, Carnegie Mellon University. tk@cs.cmu.edu1
Computer Science Department, Carnegie Mellon University. epxing@cs.cmu.edu1
Computer Science Department, Carnegie Mellon University. gu@cs.cmu.edu1
LIVIC (INRETS/LCPC), 14 route de la minière, building 824, 78000 Versailles - Satory, France1
NVIDIA Research, New York, NY, USA1
The Graduate Center, CUNY, New York, NY, USA1
IASRG Lab, 4th Floor, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia1
Div. of Electrical Electronics and Control Engineering, Kongju National University, Kongju, Republic of Korea1
Image Understanding and Knowledge-Based Systems Group, Technische Universität München, Garching, Germany1
LITIV, Polytechnique Montréal, Montréal, Canada1
Department of Exceptional Education, Buffalo State University (SUNY), Buffalo, New York, USA1
Children’s Guide Foundation Autism Spectrum Disorder Center, Buffalo, NY, USA1
Air Force Research Lab, Rome, USA1
Department of Chemical Equipment and Control Engineering, China University of Petroleum, Qingdao, China1
Dept. of Electronics Engineering, Erciyes University, Kayseri, Turkiye1
TÜBİTAK-National Research Institute of Electronics and Cryptology, Gebze, Kocaeli, Turkiye1
Universités Nice Sophia Antipolis, UMR 7271, I3S, F-06900, France1
Disney Research, Pittsburgh, PA, USA, 152131
Corporate Innovation OSRAM GmbH1
School of Geosciences, China University of Petroleum, Qingdao, China1
The Guangzhou Key Laboratory of Digital Content Processing and Security Technologies, Guangzhou, China1
Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK1
Universite de Rennes 1, Rennes, France1
École de Technologie Supérieure, Montréal, Canada1
Technical University of Munich, Garching, Germany1
Ecole de Technologie Superieure, Montreal, Canada1
German Cancer Research Center, Heidelberg, Germany1
Sunnybrook Health Science Centre, Toronto, Canada1
Department of Mathematics and Computer Science, Key Laboratory of IOT Application Technology of Universities in Yunnan Province, Kunming, Yunnan, P. R. China1
Escuela de Ingeniería Informática, Universidad Francisco de Vitoria, Madrid, Spain1
FRAV, University Rey Juan Carlos, Móstoles, Spain1
Graduate University of Chinese Academy of Sciences, Beijing, Chine1
IBM Research T. J. Watson Center, U.S.A1
Math Dept, Faculty of Science, Helwan University, Cairo, Egypt1
Computers and Systems Dept., Electronic Research Institute., Cairo, Egypt1
LaBRI, CNRS, UMR 5800, F-33400 Talence, France1
Grupo Technología del Habla, E.T.S.I. Telecomunicación (ETSIT) Universidad Politécnica de Madrid (UPM), Madrid, Spain1
Department of Computer Science, Faculty of Education-Shabwa, University of Aden, Aden, Yemen1
School of Computer Science, Univerisiti Sains Malaysia, Gelugor, Malaysia1
Queen Mary University of London (United Kingdom)1
LG Electronics, Inc., South Korea1
School of Information Technology and Engineering, VIT University, Vellore, India1
Hewlett-Packard Labs, Palo Alto, CA, USA1
Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou 350108, China1
School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China1
Shanghai Engineering Research Center of Industrial Vision Perception & Intelligent Computing, Shanghai, China1
Naresuan University, Thailand1
DEI, University of Padua, Padua, Italy1
Department of Electrical Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Department of Information Management, College of Management, National United University, Miaoli, Taiwan1
Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Information Technology Department, Cairo University, 5 Ahmed Zewal St., Orman, Giza, Egypt1
University of Nottingham at Ningbo, China1
Department of Statistics, University of California at Berkeley, Berkeley, USA1
International Computer Science Institute, University of California at Berkeley, Berkeley, USA1
College of Information Science and Technology, Agricultural University of Hebei, Baoding, China1
Anhui University & Chinese Academy of Sciences, Hefei, China1
Department of Computer Science and Engineering, Chinese University of Hong Kong, China1
Chair of Cybernetics and Robotics, Electronics Faculty, Wroclaw University of Technology1
ISEN Lille, Yncrea Hauts-de-France, France1
IMT Lille Douai, Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France1
U.S. Naval Research Laboratory, Washington DC, USA1
U.S. Naval Research Laboratory, Washington, DC 20375, USA1
Nokia Research Center Hollywood,  1
Computer Science and Artificial Intelligence Laboratory, MIT,  1
Computer Graphics Laboratory, Department of Informatics & Telecommunications, University of Athens, Athens, Greece1
Division of Image Processing, Department of Radiology, Leiden University Medical Center, Netherlands1
Dept of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
Dept. of Computer Science and Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, India1
The Technion–Israel Institute of Technology, Haifa1
University of Chile, Chile1
Charles University in Prague, Czech Republic1
Universitat de Barcelona - CVC, Spain1
Chalearn, Berkeley, California, USA1
INAOE, Mexico1
Universitat Oberta de Catalunya - CVC, Spain1
SunFlare Company, Shinjuku Hirose Bldg, Yotsuya 4-7, Shinjuku-ku, Tokyo, Japan 160-0004, Email: tokuda_n@sunflare.co.jp1
Computer Science Department, Univerisy of Northern British Columbia, Prince George, BC, Canada V2N 4Z9, E-mail: lchen@ieee.org1
Peking University & Alibaba Group, Beijing, China1
Key Laboratory of Information Security and Intelligent Control of Shandong Province, Shandong Youth University of Political Science, Jinan, China1
Elektrik ve Elektronik Müh. Böl., Dokuz Eylül Üniversitesi İzmir, TÜRKİYE1
Fen Bilimleri Enstitüsü, Dokuz Eylül Üniversitesi İzmir, TÜRKİYE1
Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia1
OR1
CMU, USA1
National Engineering Research Center for E-Learning, HuaZhong Normal University, Wuhan 430079, China1
School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China1
University of Guelph, Guelph, Ontario, Canada1
School of Engineering, University of Guelph, Guelph, N1G2W1 Ontario, Canada1
Electronics and Communication Dept., Chhotubhai Gopalbhai Patel Institute of Technology, Surat, India1
AISIN AW Co., Ltd., Aichi, Japan1
UTM Razak School of Engineering and Advanced Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia1
Universiti Tunku Abdul Rahman1
Science and Technology on Communication Information Security Control Laboratory, Jiangnan Electronic Communication Institute, Jiaxing, China1
Zhejiang Future Technology Institute, Jiaxing, China1
University of Michigan-Ann Arbor, United States1
Department of Informatics 8 Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece1
ZTE Corporation, Shenzhen, China1
Enjoyor Co., Ltd, Hangzhou, China1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong1
Siemens Corporate Technology, Munich, Germany1
Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China1
National ICT Australia1
P.G Demidov Yaroslavl State University, Artificial Intelligence Center, Yaroslavl, Russian Federation1
Zhejiang University of Media and Communications, Hangzhou, Zhejiang, China1
International Computer Science Institute, Berkeley, USA1
Instituto de Computação, Universidade Federal Fluminense, São Domingos, 24210-240 Niterói-RJ, Brazil1
Department of Electronics and Telecommunication, College of Engineering, Pune, India1
Department of Electronics and Telecommunication, Maharashtra Institute of Technology, Pune, India1
Northwestern Polytechnic University, Xi’an, China1
Department of Electrical and Electronics Engineering, University of Jaffna, Sri Lanka1
Department of Electronic Technology, China Maritime Police Academy, Ningbo, China1
Department of Animation, Indonesian Institute of The Arts, Yogyakarta, Indonesia1
Polish-Japanese Institute of Information Technology, Warszawa, Poland1
Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences (SGGW), Warsaw, Poland1
Polish-Japanese Institute of Information Technology, Warsaw, Poland1
IBM T.J. Watson Research Center, Hawthorne1
Microsoft Live Labs Research, Redmond1
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, 53757 Sankt Augustin, Germany1
Silent Talker Ltd1
Embedded Systems Research Group, Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand1
- K.U.Leuven-ESAT-Psi, Belgium1
Dept. of Elec. Eng., Port Said University, Egypt1
Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur, Malaysia1
Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: stefan.duffner@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: christophe.garcia@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: franck.mamalet@orange-ftgroup.com1
France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: sebastien.roux@orange-ftgroup.com1
Maharshi Dayanand University, Rohtak, Haryana, India1
Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea1
Institut Pascal, Université Blaise Pascal/CNRS, Clermont-Ferrand, France1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. N.Poh@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. J.Kittler@surrey.ac.uk1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. O.Fatukasi@surrey.ac.uk1
Department of Computer Science, University of Sherbrooke, Sherbrooke, Canada1
Department of Computing, Macquarie University, NSW, Australia1
Dipartimento di Ingegneria Enzo Ferrari-University of Modena and Reggio Emilia, Modena, Italy1
FernUniversität , Hagen, Germany1
Universidad Tecnica Federico Santa Maria , Valparaiso, Chile1
Staffordshire University , Staffordshire, United Kingdom1
Department of Digital Media Technology, Huanggang Normal University, China1
Valeo Vision Systems, Ireland1
ENSTA ParisTech, 32 Blvd Victor, 70539 Paris Cedex 151
Department of Computer Science & Engineering, SSN College of Engineering, Chennai, India1
Dept. of Convergence, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu, Korea1
Faculty of Electrical Engineering, Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Fortaleza, Brazil1
Center for Behavior Imaging and the School of Interactive Computing at the Georgia Institute of Technology, Atlanta, 30332, USA1
National ICT Australia, Canberra1
Electrical and Electronic Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran1
College of Mathematics and Information Engineering, Jiaxing University, Jiaxing, China1
Institute of Informatics and Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Graduate Programme on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil1
Department of Computer Science & Engineering, Madhav Institute of Technology & Science, Gwalior, India1
Centre for excellence in Signal and Image Processing, University of Strathclyde, Glasgow, UK1
School of Electronics and Information, Guangdong Polytechnic Normal University, Guangzhou, China1
College of Electronics and Information, Xi’an Polytechnic University, Xi’an, China1
School of Information, Central University of Finance and Economics (CUFE), Beijing, China1
Dept. of Stat., Carnegie Mellon Univ., Pittsburgh, PA, USA1
Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan1
Faculty member of Department of Computer Engineering, Sheikh Bahaei University, Isfahan, Iran1
Department of Computer, Engineering, Sheikh Bahaei, University, Isfahan, Iran1
Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou, China1
Computer Science and Engineering, POSTECH, Pohang, 790-784, South Korea1
Information and Communication Engineering, DGIST, Daegu, South Korea1
Department of Computer Science and Technology, Beijing Electronic Science and Technology Institute, Beijing, China1
Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing, China1
School of Computer Information and Engineering, Beijing Technology and Business University, Beijing, China1
Engineering and Technology College, Sichuan Open University, Chengdu, China1
Dpt. Matemàtiques i Informàtica, UIB, Ctra. Valldemossa Km. 7.5, 07122 Palma de Mallorca, Spain1
CMLA, ENS Cachan, 61 Av. du Président Wilson, 94235 Cachan CEDEX, France1
Institute of Computing Technology of the Chinese Academy of Sciences, Beijing, China1
VNU University of Science, Vietnam National University, Hanoi, Vietnam1
University of Information and Communication Technology, Thai Nguyen University, Quyet Thang, Thai Nguyen City, Vietnam1
Department of Electronics Engineering and Computer Science, Tung-Fang Design University, Kaohsiung County, Taiwan1
Electrical Engineering Department, Bu-Ali Sina University. Hamedan, Iran1
iMinds Krook.LAB, Ghent, Belgium1
Electronics and Information Systems Department, Ghent University - iMinds, Ghent, Belgium1
Modeling of Systems And Internet Communication, University of Antwerp - iMinds, Antwerp, Belgium1
Department of Information Technology - IBCN, Ghent University - iMinds, Ghent, Belgium1
Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland1
Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra-136119, India1
Université Laval, Québec, Canada1
Université de Rennes 1, Rennes, France1
Ulm University of Applied Sciences, Ulm, Germany1
DKFZ, Heidelberg, Germany1
Université de Sherbrooke, Sherbrooke, Canada1
SmartPeep, Masai, Malaysia1
Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, Taiwan1
Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan1
Dept. of Information Engineering, Faculty of Engineering, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan1
Graduate School of Science and Technology, Niigata University, 8050, Ikarashi 2-Nocho, Nishi-ku Niigata, 950-2181, Japan, +81 25 262 74991
Department of Medicine, University of British, Columbia, Canada1
School of Engineering of São Carlos, USP, São Carlos, Brazil1
NTNU, Norway1
Toyota Technological Institute at Chicago, 1427 E. 60th Street, IL 60637, USA1
LEAR, INRIA Grenoble Rhône-Alpes1
Department of Electric and Electronic Engineering, Avrasya University, Trabzon, Turkey1
BIWI, ETH Zürich and MPI Informatik, Switzerland1
Electrical Engineering Department, University of Azad Jammu and Kashmir, Muzaffarabad (AJK), Pakistan1
Electrical (Power) Engineering Department, Mirpur University of Science and Technology, (AJK), Pakistan1
LMU Munich, Germany and Munich University of Applied Sciences, Germany1
Department of IT Sree Vidyanikethan Engineering College Tirupati, India1
Department of ECE, NEC, Narasaraopet, India1
Department of ECE Anurag Group of Institutions, Hyderabad, India1
Department of ECE Sree Vidyanikethan Engineering College, Tirupati, India1
ACM Professional Specialist in Artificial Intelligence1
Autonomous University of Madrid, Madrid, Spain1
IT Service, University of Reading, Reading, United Kingdom, RG6 6AY1
Department of Computer Engineering, Punjabi University, Patiala, India1
Computer Science & Engineering, UIET, Chandigarh, India1
Department of Informatics, Universidade Federal do Paraná, Brazil1
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China1
First Research Institute of the Ministry of Public Security of People’s Republic of China, Beijing, China1
Advanced Digital Science Center, Singapore1
System Engineering Research Group, ARKADIUS, Universidad de Medellin, Colombia1
Universidad Nacional de San Juan, Argentina1
School of Electronics, Electrical and Computer Engineering University of Birmingham, UK1
School of EEE, NTU, Singapore1
I2R, A*STAR, Singapore1
TUBITAK - UZAY, Ankara, Turkey1
Cairo University, Biomedical Engineering, Cairo, Egypt1
Dept. of Comput. Sci. & Info. Eng., National Yunlin Univ. of Science & Technology, Taiwan1
German Research Center for Artificial Intelligence (DFKI), University of Kaiserslautern, Kaiserslautern, Germany1
School of Information Science & Technology, Jiujiang University, Jiujiang, China1
Department of Electrical & Computer Engineering Dalhousie University Halifax, Nova Scotia B3J 2X4, Canada1
Computer Vision Research Lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Digital Signal Processing Research Lab, Department of Electrical Engineering, Isfahan University of Technology, Iran1
Islamic Azad University of Najaf Abad, Isfahan, Iran1
Kielce University of Technology, Kielce, Poland1
Key Laboratory of Urban Planning and Decision-Making Simulation, Shenzhen, China1
Universität Bielefeld, Bielefeld, Germany1
INRIA Grenoble Rhône-Alpes, Montobonnot, France1
Institut de Robòtica i Informàtica Industrial, CSIC-UPC. Llorens i Artigas 4-6, 08028, Barcelona, Spain1
Catchoom, Barcelona, Spain1
Free University of Bozen-Bolzano, Bolzano, Italy1
Division of Mechanical Convergence Engineering, Silla University, Busan, 46958, Korea1
Ternopil National Economic University1
National Institute of Informatics, Chiyoda-ku, Japan1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. svetha@cs.curtin.edu.au1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. wanquan@cs.curtin.edu.au1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. senjian@cs.curtin.edu.au1
Computer Science Institute VI: Autonomous Intelligent Systems, University Bonn, Bonn, Germany1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong Baptist University (HKBU), Hong Kong1
Smart Network System Institute, Institute for Information Industry, Taipei, Taiwan1
Academia Sinica, Research Center for Information Technology Innovation, Taipei, Taiwan1
Department of Computer Sciences, Thompson Rivers University, Kamloops, BC, Canada1
Los Alamos National Laboratory and University Of Washington1
Instituto Superior Técnico, Instituto de Telecomunicações, Lisbon, Portugal1
Technical University of Lisbon, Lisbon, Portugal1
Institue for Information Technology, National Research Councilof Canada, NB, Moncton, E1A 7R11
Adobe Research, San Jose, CA1
Commonwealth Scientific and Industrial Research Organization, Marsfield, NSW, Australia1
Salvatore Maugeri Foundation, IRCCS, Scientific Institute of Telese Terme (BN), Telese Terme, Italy1
Division of Psychology and Language Sciences, University College of London, London, UK1
Neuropsychology Laboratory, Department of Psychology, Second University of Naples, Caserta, Italy1
GIPSA-Laboratory, Université Grenoble Alpes, Grenoble, France1
Faculty of Information Technology, Vietnam Maritime University, Haiphong, Vietnam1
Department of Computer Science, The State University of New York at Binghamton, Binghamton , NY, USA1
Research Center for Smart Tourism Technology Application and Innovation, Sichuan Tourism University, Chengdu, China1
Digital Media Art Department, Sichuan Film and Television University, Chengdu, China1
Business School of Sichuan University, Chengdu, China1
Université Joseph Fourier and INRIA Rhône-Alpes, Grenoble, France1
Department of Computer Science & Engineering, Institute of Engineering and Technology, Lucknow, India1
Multimedia and Information Security Lab, ABV-Indian Institute of Information Technology and Management, Gwalior, India1
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye1
LE2I Lab, UMR CNRS 6306, University of Burgundy, Dijon, France1
Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan1
Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece1
Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. sabah.jassim@buckingham.ac.uk1
Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. harin.sellahewa@buckingham.ac.uk1
University of California at Los Angeles, Los Angeles1
NARI Group Corporation, Nanjing, China1
Yahoo! Research, Haifa1
Alibaba Group, Zhejiang, People’s Republic of China1
DIMACS CORE, Rutgers Univ., Piscataway, NJ, USA1
School of Information Science and Engineering, Shenyang University of Technology, China1
LIRIS, INSA-Lyon, CNRS, UMR5205, University of Lyon, Lyon, France1
SONY Electronics Inc., San Jose, CA, 95112, USA1
Florida Institute of Technology1
Institute of Public Administration, Riyadh, Saudi Arabia1
Research and Academic Computer Network (NASK), Biometrics Laboratory, Poland1
Intelligent Vision Research Lab, Federal University of Bahia, Brazil1
University of Burgundy, Le2i, BP 47870 21078 Dijon, France; University of Sfax, CES Laboratory, Tunisia1
K.U. Leuven, ESAT-PSI, Leuven, Belgium1
University of Reading, UK1
Robotics and Computer Vision Laboratory, Computer Vision and Machine Learning Research Group, College of Science and Technology, University of Central Lancashire, Preston, UK1
Texas A&M Univerisity, College Station, TX, USA1
OFFIS - Institute for Information Technology, Oldenburg, Lower-Saxony, Germany1
Dormity.com®, Sant Cugat del Vallès, Spain1
Servei Universitari de Recerca en Fisioteràpia (S.U.R.F), Escola Universitària Gimbernat, Sant Cugat del Vallès, Spain1
HERE Technologies, 425 W Randolph St, Chicago, Illinois, 60606, USA1
School of Advanced Technology and Science, Tokushima University, Tokushima, 770-8501, Japan1
NOAA /NGDC, 325 Broadway, Boulder, CO 80305, USA1
Division of Computing Science & Maths, School of Natural Sciences, University of Stirling, Stirling, UK1
Department of Electrical & Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China1
College of Information Science and Engineering, Henan University of Science and Technology, Luoyang, China1
Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE1
College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China1
Masaryk University , Brno, Czech Republic1
Rehabilitationswissenschaften, Technische Universität Dortmund, Dortmund, Germany1
Institute Integriert Studieren, Universität Linz, Linz, Austria1
Department of Civil, Geological and Mining Engineering, Polytechnique Montréal, Montréal, QC, Canada1
Dept. of Electronics Engineering, Sangmyung University, Seoul, Korea1
Dept. of Copyright Protection, Sangmyung University, Seoul, Korea1
Mobile Communications R&D, LG Electronics, Inc., Seoul, Korea1
IOC Research Institute, Universitat Politècnica de Catalunya, Barcelona, Spain1
Sukhoi State Technical University of Gomel, Gomel, Belarus1
Joint Institute for Nuclear Research, Dubna, Moscow oblast, Russia1
Institute of Computer Engineering, University of Lübeck, Lübeck, Germany1
Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Modena, Italia1
Key Laboratory of System Controal and Information Processing, Ministry of Education of China, Shanghai, People’s Republic of China1
Department of Electrical Engineering, University of Petroleum (East China), Shandong, China1
TuSimple1
HRL Laboratories, LLC, Malibu, USA1
Department of EECS, University of California, Berkeley, USA1
Centre for Signal Processing, Department of EIE, The Hong Kong, Polytechnic University1
School of Informatics, The University of Edinburgh 11 Crichton Street, Edinburgh, EH8 9LE, United Kingdom1
Graduate School, Xi'an University of Technology, China1
Faculty of Computer Science and Engineering, Xi'an University of Technology, China1
CEDRIC-Conservatoire National des Arts et Métiers, Paris, France1
USTECH(Beijing) Technology Co. Ltd., China1
Department of Fundamental Research, PLA Army Engineering University, China1
PLA Army Engineering University, College of Communication Engineering, China1
EPITA Research and Development Laboratory (LRDE), Le Kremlin-Bicêtre, France1
L3i Laboratory, Université de La Rochelle, La Rochelle cedex 1, France1
Advanced Digital Sciences Center at University of Illinois, Singapore / Nanyang Technological University, Singapore1
Bilgisayar Müh. Bölümü, Orta Doğu Teknik Üniversitesi, Turkey1
LIAMA, French National Institute for Research in Computer Science and Control, Paris, France1
School of electrical and information engineering, Shandong University At Weihai, China1
City University, Kowloon Tong, Hong Kong1
Radboud University, EC Nijmegen, The Netherlands1
TNO, Oude Waalsdorperweg, AK The Hague, The Netherlands1
Liaocheng University, Liaocheng, China1
Fraunhofer FKIE, Wachtberg, Germany1
Dept. of Comp. Eng. Fac. of Eng., Gazi University Ankara, Turkey1
DAIS, University of Venice, Italy1
German Aerospace Center (DLR), Germany1
Computer Science Depart., Rochester University, USA1
College of Communication and Information Engineering, Xi'an University of Science and Technology, China1
Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Hunan University of Humanities, Science and Technology, China1
School of Engineering and Advanced Technology, Massey University1
Department of Electronic Computer Engineering, Hong Kong University of Science Technology1
Microsoft, Inc., Seattle, WA, USA1
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, USA1
Department of Computer Science and Engineering, University of California Riverside, Riverside, CA, USA1
College of Software and Communication Engineering, Xiangnan University, Chenzhou, China1
School of Information Engineering, Henan University of Science and Technology, Luoyang, China1
LIG, CNRS, Grenoble, Cedex1
LIGM (UMR 8049), École des Ponts, UPE, Champs-sur-Marne, France1
University of Tours, France1
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York1
School of Computer Science and Engineering, University of Science and Technology Liaoning, Anshan, China1
Beihai Yinhe Industry Investment Co., Ltd., China1
Department of Information Technology, RCC Institute of Information Technology, Kolkata, India1
Stanford University and Coursera1
Black Cat Science Inc., Boston, MA 02467, United States of America1
Air Force Research Laboratory AFRL/RYAT, Wright Patterson AFB, OH 43209, United States of America1
Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America1
Siemens Molecular Imaging Ltd, Oxford, UK1
Mirada Medical Ltd, Oxford, UK1
Center of Excellence in Intelligent Engineering Systems (CEIES) and Electrical & Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia1
IMT Lille Douai, Lille, France1
Reallusion Corporation1
Defence Science and Technology Organisation (DSTO), Edinburgh, Australia1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey1
Computer Enginering Department, Cyprus International University, Nicosia, Northern Cyprus, Via Mersin 10, Turkey1
National Institute of Advanced Industrial Science and Technology (AIST), Koto, Tokyo, Japan1
Computer Engineering Department, University at Albany, State University of New York, Albany, USA1
Computer Science Department, University at Albany, State University of New York, Albany, USA1
Fujitsu Kyushu Network Technologies Limited, Fukuoka, Japan1
Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA1
Science and Technology on Information, Systems Engineering Laboratory, Nanjing 210007, China1
Robotics Program, KAIST, Daejeon, Republic of Korea1
College of Mechanical and Material Engineering, North China University of Technology, Beijing, P.R. China1
Multimedia Communications Laboratory at University of Information Technology, Vietnam National University, Ho Chi Minh City, Vietnam1
Institute for Information Technology and Communications (IIKT), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany1
Department of Neuropsychiatry, Netherlands Institute for Neuroscience, Amsterdam Zuidoost, The Netherlands1
Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran1
Faculty of Engineering, University of Porto, Porto, Portugal1
INESC-TEC, Porto, Portugal1
Uppsala University, Uppsala, Sweden1
The Mitre Corp, McLean, USA1
University of Modena and Reggio Emilia, Modena, Italy1
Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. jalba@gts.tsc.uvigo.es1
Departamento de Teorí a de la Sñal y Comunicaciones, Universidad de Vigo, Spain. danisub@gts.tsc.uvigo.es1
CVisionLab, LLC, Taganrog, Russia1
School of Electrical Engineering and Automation, Qilu University of Technology, Jinan, China1
KU Leuven (BE)1
Information Science School, Guangdong University of Finance and Economics, China1
Centre for Visual Computing, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK1
Keio-National University of Singapore (NUS) Connective Ubiquitous Technology for Embodiments Center, Interactive and Digital Media Institute, NUS, Singapore1
Department of Economics and Statistics, Università degli Studi di Napoli “Federico II”, Italy1
Department of Industrial Engineering, Università degli Studi di Napoli “Federico II”, Italy1
FAST, Supélec, Avenue de la Boulaie, Cesson-Sévigné, France1
ISIR laboratory, Pierre and Marie Curie university, Paris Cedex 05, France1
Department of Computer Science, Wrocław University of Technology, Wrocław, Poland1
Department of Smart Systems Software, Soongsil University, Seoul, Korea1
Department of Information and Communication Technology, Soongsil University, Seoul, Korea1
Information Security Research Division, Electronics and Telecommunications Research Institute, Yuseong-gu, Daejeon, 305-700, Republic of Korea. bborog@cheonji.kaist.ac.kr, bracastle@etri.re.kr, eins@cheonji.kaist.ac.kr1
Department of Computer Science and Engineering, RCC Institute of Information Technology, Kolkata, India1
Datang Guoxin Binhai Offshore Wind Power Co., Ltd1
Department of Computer & Control Engineering, Politecnico di Torino, Torino, Italy1
FAST National University of Computer and Emerging Sciences, Peshawar, Pakistan1
Department of Information Engineering and Mathematics, Universita di Siena, Siena, Italy1
Mathematics Department, School of Computer Science, Bina Nusantara University, Indonesia1
Guru Gobind Singh Indraprastha University, University School of Information & Communication Technology, Sector 16-C, Dwarka, New Delhi-110078, India1
German National Library of Science and Technology (TIB), Hannover, Germany1
taglicht media Film- & Fernsehproduktion GmbH, Köln, Germany1
Department of Film and Digital Media, Seokyeong University, Seoul, Republic of Korea1
Department of MediaSoftware, Sungkyul University, Anyang-si, Republic of Korea1
Department of Fine Arts Hubei Institute of Fine Arts, Wuhan, China1
Université de Technologie Compiègne, 60200 Compiègne, France1
School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland1
Department of Engineering, Nagoya Institute of Technology, Nagoya, Japan1
East China University of Science and Technology, Shanghai, China1
ERARGE, Ergünler Ltd. Şti, İstanbul, Türkiye1
Bilişim ve Bilgi Güvenliği Teknolojileri Araştırma Merkezi, Türkiye Bilimsel Ve Teknolojik Araştırma Merkezi, Kocaeli, Türkiye1
Center for Intelligent Robotics at Korea Institute and Technology (KIST), Seoul, Korea1
Joanneum Research, Graz1
University of Fribourg1
Univeristy of Applied Sciences Western Switzerland, Sierre and University of Fribourg1
Commissariat à l'Energie Atomique1
Pusan National University, Busan, Korea1
Department of Computer Science, Minjiang University, Fuzhou, China1
Virtual Reality and Interactive Techniques Institute, East China Jiaotong University, Nanchang, China1
Wroclaw University of Technology1
Shri JJT University, Rajasthan1
Department of ECE, CVR College of Engineering, Hyderabad1
P.T.Lee. C.N.C.E.T, Kanchipuram, Tamilnadu1
School of Mathematics and Computational Science, Anqing Normal University, Anqing, People’s Republic of China1
Xerox Res. Centre Eur., Meylan, France1
Concordia Institute for Information Systems Engineering Concordia University, Montreal, Canada1
Center of Electronic Technology and Information Federal University of Amazonas Manaus, Brazil1
Center of Electronic Technology and Information, Federal University of Amazonas, Manaus, Brazil1
Instituto Nokia de Tecnologia, Manaus, Brazil1
Computer Engineering Dept., Gazi University, Ankara, Turkey1
Electrical&Elecronics Engineering Dept., Gazi University, Ankara, Turkey1
Department of Interactive Media, Gachon University, Seongnam-si, South Korea1
Department of Computer Science, Namseoul University, Cheonan, South Korea1
Computer Vision Centre Barcelona, Universitat Autonoma de Barcelona, Catalonia, Spain1
Norwegian Colour and Visual Computing Laboratory, Gjovik University College, Gjøvik, Norway1
Institute for Analytics and Data Science School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom1
School of Computer Science and Electronic Engineering, University of Essex, Essex, United Kingdom1
Indian Institute of Information Technology and Management, Madhya Pradesh, India1
LIRMM, University of Montpellier / CNRS, France1
University of Nîmes, France1
Department of Computer Science, University of Brasília, DF, Brazil 70910-9001
Department of Mechanical Engineering, University of Brasília, DF, Brazil 70910-9001
Automobile Transport Command Department, Military Transportation University, Tianjin, P.R. China1
School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, P.R. China1
Open Platform Department, China Mobile IOT Company Limited, Chongqing, China1
College of Computer Science, Chongqing University Chongqing, China1
Dept. of Electronic and Communications Technology, Autonomous University of Madrid, Madrid, Spain1
Dept. of Electrical Engineering, Aswan University, 81542 Aswan, Egypt1
Dipartimento di Elettronica e Informazione - Politecnico di Milano. tubaro@elet.polimi.it1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. tarres@gps.tsc.upc.es1
Department Teoria del Senyal i Comunicacions de la Universitat Politècnica de Catalunya. alrama@gps.tsc.upc.es1
Dipartimento di Elettronica e Informazione - Politecnico di Milano. d.onofrio@elet.polimi.it1
Department of Computer Science and Engineering, Sejong University, Seoul, South Korea1
Digital Contents Research Institute, Department of Software, Sejong University, Seoul, South Korea1
Department of Mathematics, Islamia College Peshawar, Peshawar, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College Peshawar, Peshawar, Pakistan1
Advanced Medical Electronics, Maple Grove, MN 55369 USA1
Technical University of Delft, Delft, The Netherlands1
European Institute for Participatory Media, University of Applied Sciences Stralsund, Berlin, Germany1
Multimedia Research Group, IT Faculty, Iran Telecom Research Center, Tehran, Iran1
Dept. of Electrical and Computer Engineering, Dept. of Internal Medicine, The University of Iowa, 52242, USA1
Dept. of Medical Information Technology, Carinthia University of Applied Sciences, Primoschgasse 8, A-9020 Klagenfurt, Austria1
Department of Physics, Tripura University (A Central University), Suryamaninagar, India1
Department of Computer Science and Engineering, Tripura University (A Central University), Suryamaninagar, India1
School of Electronic and Information Engineering, The Dalian University of Technology, Dalian, China1
INRIA, Université Paris Sud, Université Paris Saclay, Paris, France1
Department of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China1
Institute for Computer Science and Control, Hungarian Academy of Sciences, Hungary1
Oracle America, Inc., Redwood City, CA, USA1
Fachbereich Medizintechnik und Technomathematik, Standort Jülich, Fachhochschule Aachen, Jülich, Germany1
Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany1
State Post Bureau Safety Supervision Center, Beijing, 100091, China1
ONERA - The French Aerospace Lab, Palaiseau, France1
Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China1
Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal, National institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil, and University of Fortaleza (UNIFOR), Ceará, Brazil1
Clínica Otocenter, Teresina, Piauí, Brasil1
Kanazawa University, Ishikawa, Japan1
Division of Electrical Engineering and Computer Science, Kanazawa University, Ishikawa, Japan1
Department of Electronic Engineering, Shantou University, Shantou, China1
University of Tasmania, Hobart, Australia1
Department of Electrical Engineering, KAIST, Daejeon, South Korea1
Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China1
Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, District-Durg, India1
Centre for Emerging Technologies, Jain University, Karnataka-562112, India1
Computer Science and Engineering Department, Christ University, Bangalore- 560074, India1
INESC and University of Porto, Porto, Portugal1
University of Alicante, Spain1
Institute for Systems and Robotics, Instituto Superior Técnico, Portugal1
College of Machanical Engineering, Jiangsu Institute of Commerce, Qinhuai District Nanjing, China1
PLA University of Science and Technology, Qinhuai District Nanjing, China1
Company of Shaanxi, China Mobile Limited, Xi’an, China1
Departement of Statistics, FSU, Tallahassee, FL 32306, USA1
LIFL (UMR USTL/CNRS 8022), Université de Lille 1, France1
Department of Computer Science, Federal University of Ceará, Fortaleza, Brazil1
Inha University, Incheon, Korea (Republic of)1
Indian Institute of Technology Madras, Chennai, India1
Department of Automation, USTC, China1
College of Humanities & Information of Changchun University of Technology, Changchun, China1
Department of Computer Engineering, Bogaziçi University, Bebek, Turkey1
Hubei Province Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, 430073, China1
National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Institute for Applied System Analysis, Kyiv, Ukraine1
School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, People’s Republic of China1
UBTECH Robotics, Shenzhen, People’s Republic of China1
School of Big Data and Intelligence Engineering, Southwest Forestry University, Kunming, People’s Republic of China1
School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China1
School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China1
Adobe System Incorporated1
Micrososft Research Asia1
School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. daphna@cs.huji.ac.il1
School of Computer Science and Engineering, Hebrew university of Jerusalem, Israel 91904. zweiga@cs.huji.ac.il1
Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, People’s Republic of China1
Mapillary Research, Graz, Austria1
Waseda University and USC Institute for Creative Technologies1
GM Advanced Technical Center Israel, Hamada 7, Herliya, Isarel1
RoadMetric LTD, Giveat Yearim 90970, Israel1
Department of Telecommunications, University "Politehnica" Bucharest Bucharest, Romania1
Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, China1
School of Information Science, Xinhua College of Sun Yat-sen University, Guangzhou, China1
IBM, Yorktown Heights, NY, USA1
Al Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia1
School of Information and Mechatronics, Gwangju Institute of Science and Technology, Gwangju, Korea1
Centro Studi S.r.l., Buccino, Italy1
Department of Computer Science and Engineering, National Institute of Technology Durgapur, Durgapur, India1
INSA de Lyon - Université de Lyon, INRIA Grenoble Rhone-Alpes and the CITI laboratory, 6 avenue des Arts, 69621 Villeurbanne, France1
EE Department, I.I.T. Delhi, Hauz Khas, New Delhi, India1
EC Department, ACE College of Engineering, Trivandrum, India1
EECS Department, UC Berkeley, USA1
Institute for Mathematical Stochastics, University of Göttingen, Germany1
Computer Engineering College, Jimei University, Xiamen, China1
Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen, China1
School of Information, Hunan University of Humanities, Science and Technology, Loudi, China1
Dept. of Computer Science and Engg., IIT Roorkee, Roorkee, India1
Dept. of Digital Media, College of Information Sciences, Beijing Language and Culture University, 100083, China1
Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York1
Dept. of Information Science, King Abdulaziz University, Jeddah, Saudi Arabia1
OMRON Social Solutions Co. Ltd., Japan1
Baidu Research - Institute of Deep Learning, Sunnyvale, USA1
CERTH, Thessaloniki, Greece1
CERTH & Queen Mary University of London, Thessaloniki, Greece1
Los Alamos National Laboratory1
Interacting Minds Centre, Aarhus University, Aarhus C, Denmark1
Department of Human Biology, Faculty of Physiotherapy, University School of Physical Education in Wroclaw, Wroclaw, Poland1
Center for Language Evolution Studies, Faculty of Languages, Nicolaus Copernicus University, Torun, Poland1
Department of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland1
Polish Academy of Sciences, Unit of Anthropology, Hirszfeld Institute of Immunology and Experimental Therapy, Wroclaw, Poland1
De Montfort University1
Gdańsk University of Technology, Gdansk, Poland1
Electronics Research Laboratory, Volkswagen Group of America, 500 Clipper Dr, Belmont, CA 94002, USA1
Center of HCI for Coexistence, Korea Inst. of Science &Technology, Seoul, Korea, Republic of (South Korea)1
Institute for Media Innovation, Nanyang Technology University, Singapore, Singapore1
BBN Technologies, Cambridge, USA1
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln 68503, NE, United States1
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, 430079, China1
Hospital Clinic Universitat de Barcelona, Barcelona, Spain1
Benito Menni Complex Assistencial en Salut Mental, Barcelona, Spain1
Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain1
Institute of Psychiatry, King’s College London, London, UK1
FIDMAG Research Unit, Benito Menni CASM, Barcelona, Spain1
Indian Institute of Information Technology Lucknow, Lucknow, India1
The Department of Computing, Muscat College, University of Stirling, UK1
School of mechanical and material engineering, North China University of Technology, Beijing, P.R. China1
Institute of Cybernetics, Tallinn University of Technology1
Pattern Recognition Group, University of Siegen, Siegen, Germany1
College of Computer Science and Information Tech., Sudan University of Science and Technology, Sudan1
Department of IT and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran1
Beijing Transportation Operation Coordination Center, China1
Beijing Transportation Information Center, China1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA1
Ben-Gurion University, Beersheba, Israel1
Orbotech Ltd., Yavne, Israel1
Department of Mathematics, University of Bari Aldo Moro, Bari, Italy1
University of California, Merced, CA, 953441
Department of CS&E, Professor, Visualization and Perception Lab, Chennai, India1
INRIA Rennes, France1
Department of IT, KLNCIT, Sivagangai, Tamilnadu, India1
Department of ECE, KLNCIT, Sivagangai, Tamilnadu, India1
SPKLSTN Lab, Department of Computer Science and Technology, Xi’an Jiaotong University, Xi’an, China1
Dept. of Electronics, Telecommunications and IT University “Politehnica” of Bucharest, Romania1
Department of Computer Science & Engineering, Guru Jambheshwar University, Hisar, Haryana, INDIA-125001. E-mail: dinesh_chutani@yahoo.com1
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science, Beijing, P.R. China1
D.S.M. College, Parbhani, India1
School of Information Engineering, Nanchang Hangkong University, Nanchang, China1
INRIA Rhone Alpes, Grenoble 38334, France1
Toyota Motor Europe (TME), Brussels 1140, Belgium1
Universidad Autonoma de Occidente, Cali, Colombia1
Data Scientist Advanced Analytics Department, General Motors, Warren, USA1
College of Computer Science and Technology of Huaqiao University Xiamen, Xiamen, China1
Dept. of Computer and Information Sciences, Temple Univ., Philadelphia1
School of Electrical Engineering, Shahrood University of Technology, Shahrood, Iran1
School of Computer and Information Technology Engineering, Shahrood University of Technology, Shahrood, Iran1
Department of Computer Science and Engineerineg POSTECH Pohang, 790-784, Korea1
Department of Computer Science and Engineering, POSTECH, Pohang, 790-784, Korea1
Department of Management and Production Engineering, Politecnico di Torino, Turin, Italy1
Bocgazici University, Turkey1
Faculty of Science, Engineering and Technology, University of Tasmania, Hobart, Australia1
Dalian Maritime University, Dalian, People’s Republic of China1
Chang Jiang Institute of Survey, Planning, Design and Research, China1
Santa Barbara Cottage Hospital1
Department of Computer Science, Al Imam Muhamad Ibn Saud Islamic University, Riyadh, Kingdom of Saudi Arabia1
Université de Lorraine-LORIA UMR 7503, Vandoeuvre-lès-Nancy, France1
Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Taiwan 640, R.O.C.1
De La Salle University, Manila, Philippines1
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK1
LAMIH/CNRS University of Valenciennes and Hainaut-Cambresis, Valenciennes, France1
Department of Informatics - Federal University of Paraná, Curitiba, Brazil, 81531-9901
Department of IT, MM University, Mullana, India1
Science and Technology on Electro-Optical Information Security Control Laboratory, Tianjing, 300308, China1
Mekatronik Mühendisliği, İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, İstanbul, Türkiye1
The Library of Wuhan University of Technology, Wuhan, 430070, P. R. China1
Laboratory LIM, Department of Computer Science, Faculty of Sciences and Technologies, University Hassan II, Casablanca-Morocco1
School of Informatics, University of Wales, Gwynedd, United Kingdom1
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Turkey1
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Turkey1
Bilgisayar Bilimleri Bölümü, Bilgi Üniversitesi, İstanbul, Turkey1
Information and Communication Technology Research Institute, Tehran, Iran1
Electronic and Computer Engineering, Brunel University London, Uxbridge, UK1
NOVA LINCS, Department of Computer Science, Faculty of Science and Technology, Universidade Nova de Lisboa, Lisboa, Portugal1
Institute for Infocomm Research & Nanyang Technological University, Singapore, Singapore1
University of Milano-Bicocca, Milan, Italy1
NICTA, Canberra Research Laboratory, ACT, Australia1
Computational Intelligence and Systems Science, Tokyo Institute of Technology-Japan, Email: osman@isl.titech.ac.jp1
Dakota Consulting, Inc., Silver Spring, USA1
Toutiao AI Lab, Beijing, China1
College of Information and Computer Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, KSA1
TU Wien, Vienna, Austria1
Alibaba Group, Beijing, China1
North Automatic Control Technology Institute, Taiyuan, 030006, China1
REGIM: Research Groups on Intelligent Machines University of Sfax, ENIS, Tunisia, Department of computer science, College of AlGhat, Majmaah university, Riyadh, KSA1
IIT Guwahati, 781039, Assam, India1
Department of Electronics and IT Media Engineering, Seoul National University of Science & Technology, Seoul, Korea1
Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India e-mail: ankumfec@iitr.ernet.in1
Department of Electronics and Computer Engineering, Indian institute of Technology Roorkee, Roorkee, UA-247667, India. e-mail: ntin.kaushik@gmail.com1
Inst. of Computing Tech., CAS & Univ. of Chinese Academy of Sciences & Key Lab of Big Data Mining and Knowledge Management, CAS, Beijing, China1
College of Information Science and Engineering Henan University of Technology Zhengzhou, 450001, P.R. China1
School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, P.R. China1
Laboratoire de Mécanique des Fluides et d'Acoustique(LMFA)-UMR 5509, Institut national des sciences appliquées de Lyon, 69621, France1
Department of Information, Compiègne University of Technology, 60200, France1
School of Automation, Northwestern Polytechnic University, Xi'an, 710072, China1
North China University of Technology, Beijing, 100041, China1
University of California, Santa Barbara, California, USA1
Institute of Automatic Control, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland1
Institute of Informatics, Silesian University of Technology ul. Akademicka 16, 44-100 Gliwice, Poland1
Institute of Neural Information Processing, University of Ulm1
Computer Science Department, University of California Los Angeles1
Faculty of Science, Qiqihar University, 161006, China1
Department of Mathematics and Mechanics, Applied Science School, University of Science and Technology Beijing, 100083, China1
“Lumina” The University Of South-East Europe, Bucharest, Romania1
Hyperion University Bucharest, Romania1
Adobe Research, San Jose, CA, USA1
University of Copenhagen and University of Malta, Copenhagen, Denmark1
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Robotics Innovation Center, 28359 Bremen, Germany1
Laboratoire d’interprétation et de traitement d’images et vidéo, Polytechnique Montréal, Montreal, Canada1
Intel Labs China, Intel Corporation, 100090, Beijing, China1
Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Italia1
Institute of Computer Engineering, University of Lübeck, Germany1
Dip. di Ingegneria dell'Informazione, Universitá di Modena e Reggio Emilia, Italia1
Advanced Micro Devices, Inc., Bellevue, WA, USA1
College of William & Mary, Williamsburg, VA, USA1
Advanced Micro Devices, Inc., Sunnyvale, CA, USA1
University of Granada, UK1
University of Colorado, Boulder, CO, USA1
Dpto. Lenguajes y Sistemas Informáticos, Universidad Jaume I. Castellón de la Plana, Spain1
School of Computer & Information Engineering, Peking University Shenzhen Graduate School, Xili Nanshan District Shenzhen, Guangdong Province, China1
LIRIS, Université de Lyon, UMR CNRS 5205, Université Lyon 2, Bron, France1
Computer Science Department, University of Jijel, Ouled Aissa, Jijel, Algeria1
College of air traffic control and navigation, Air Force Engineering University, Xi'an 710051, China1
College of Science, Air Force Engineering University, Xi'an, 710051, China1
Koolsee MideaNet Company Limited, Hong Kong, China1
Ricoh Company, Ltd., Yokohama, Japan1
Faculty of Computer and Information Sciences, Information Systems Department, Ain Shams University, Cairo, Egypt1
Department of Software Engineering, China University of Petroleum, Qingdao, China1
Department of Computer Science and Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, India1
College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China1
School of Information Science and TechnologyBeijing Forestry University1
Center for Vision Research, York University. jelder@yorku.ca1
Department of Computer Science, University College London. s.prince@cs.ucl.ac.uk1
Microsoft Research Asia, Beijing, P.R. China1
Cognitive Neuroscience Cluster, Southern Cross University, Coffs Harbour, Australia1
Graduate Program in Neuroscience, The University of Western Ontario, London, Canada1
Department of Psychology, The University of Western Ontario, London, Canada1
The Brain and Mind Institute, The University of Western Ontario, London, Canada1
Hebei University of Technology, School of Science, Tianjin, P. R. China1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University), Fuzhou, China1
Uurmi Systems Lab, Hyderabad, India1
Colchester, Essex, United Kingdom1
Department of Mathematics, JiaYing University, Meizhou, China1
School of Engineering, Shiv Nadar University, Gautam Buddha Nagar, India1
School of Electronic and Information Engineering, Shanghai University of Electric Power, 200090, China1
School of Automation Engineering, Shanghai University of Electric Power, 200090, China1
School of Electrical and Automatic Engineering, Changshu Institute of Technology, 215500, China1
School of Computer Science and Engineering, Changshu Institute of Technology, 215500, China1
School of Engineering and Information Technology, Murdoch University, Australia1
Tencent Inc., Shanghai, China1
Radboud University, Nijmegen, Netherlands1
Roke Manor Research Romsey, Hampshire SO51 0ZN, UK1
Guangdong University of Foreign Studies, Guangzhou, China1
The Department of Electronic Engineering, BoHai University, JinZhou, China1
KTH - Royal Institute of Technology, Stockholm, Sweden1
Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain1
Dept. of Electronics and Comm., S.J.B. Inst. of Tech., Bangalore - 560060, India1
University of Mysore, Mysore, India1
Channabasaveshwara Institute of Technology, Gubbi, India1
Institut TELECOM, TELECOM and Management SudParis, France1
University of Mysore, Mysore, India & institut TELECOM, TELECOM and Management SudParis, France1
Korea Electronics Technology Institute (KETI), Kyunggi-Do, Korea1
TNO Defence, Security and Safety, P.O. Box 96864, 2509 JG The Hague, The Netherlands1
Shanghai University of Finance and Economics, Shanghai, China1
Laboratoire d'Informatique de l'Ecole Normale Supérieure (INRIA/ENS/CNRS UMR 8548), INRIA-Willow project, Ecole Normale Supérieure, Paris, France1
NYSS College of Engineering and Research, Nagpur, 441 110, India1
\ No newline at end of file +Unknown Institutions from DOI

Unknown Institutions from DOI

Academia Sinica, Taipei, Taiwan Roc15
State Grid Zhejiang Electric Power Company Information & Telecommunication Branch, Hangzhou 310007, P. R. China11
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA11
Department of Scientific and Engineering Simulation, Nagoya Institute of Technology, Japan10
Institute of Mathmatics and Computer Science, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil10
da/sec - Biometrics and Internet Security Research Group, Hochschule Darmstadt, Germany10
Graduate School of Engineering, Tottori University, Japan10
University of Udine, Udine, Italy10
National Taiwan Unversity, Taipei, Taiwan Roc10
Google Research, Zurich, Switzerland10
Université de Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, Lyon, France10
MPI Informatik10
University of California, Berkeley, Berkeley, CA, USA10
Australian Centre for Field Robotics (ACFR) at the University of Sydney (NSW, Australia)9
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, 20723, USA9
INRIA Rhône-Alpes, Grenoble, France9
Université Picardie Jules-Vernes, 80000 Amiens, France9
Brno University of Technology9
Department of Computer and Information Science, University of Konstanz, Germany9
North Carolina Agricultural and Technical State University, Greensboro, NC9
Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy8
Center for Advanced Studies in Identity Sciences, North Carolina A & T State University, Greensboro, NC, USA8
Dipartimento di Sistemi e Informatica, University of Firenze, Firenze, Italy8
CNRS, LAAS, 7 avenue du Colonel Roche, F-31400 Toulouse, France8
Department of Computer Science, North Carolina A&T State University, 1601 East Market St. Greensboro, 27411, USA8
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, 060-0815, Japan8
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK8
Academia Sinica, Taipei, Taiwan8
Department of Automatic Control and Systems Engineering, University of Sheffield, S1 3JD, UK8
Center for Research in Intelligent Systems, University of California, Riverside, USA8
Computer Vision Center, UAB, Barcelona, Spain8
The University of Melbourne8
Sarnoff Corporation, Princeton, NJ, USA8
University of Sassari, Italy8
Department of Computer Science and Engineering, Islamic University of Technology, Gazipur-1704, Bangladesh8
Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology(BUET), Dhaka-1000, Bangladesh8
Graduate School of Electrical Engineering, University of Ulsan, 680-749, Republic of Korea8
Institute for Infocomm Research, A∗STAR, Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386328
Department of Microelectornics and Computer Science, Lodz University of Technology, ul. Wolczanska 221/223, 90-924, Poland8
Masaryk University, Brno, Czech Republic8
School of Electronics, Electrical Engineering and Computer Science, Queens University Belfast, BT7 1NN, UK8
Fraunhofer IOSB, Ettlingen, Germany8
Mitsubishi Electric Research Laboratories, Cambridge, MA, USA8
UC Berkeley and Max-Plank-Institute for Informatics, Germany7
CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy7
Computer Science Department, University of Buenos Aires, Argentina7
North Carolina Agricultural and Technical State University, NC7
Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, P. R. China7
Barcelona Supercomputing Center, Spain7
Institute of Engineering & Management, Kolkata7
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University, Greensboro, USA7
Sch. of Behavioral & Brain Sci., Texas Univ., Richardson, TX, USA7
Autonomous Vehicle Department, Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore 1386327
Department of Biomedical Engineering, Srinakharinwirot University, Ongkharak, Thailand7
Verizon Connect Research, via Paisiello 16-20, Florence, 50144, Italy7
SenseTime Research7
Intelligent Systems Research Laboratory, University of Reading, United Kingdom7
NAIST7
University of Applied Sciences Dresden, Artificial Intelligence Lab, Germany7
Bilgisayar Mühendisliği Bölümü, Hacettepe Üniversitesi, Ankara, Türkiye7
Graduate School of Electrical Engineering, University of Ulsan, Korea7
Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka7
Computer Vision Laboratory, ETH Zurich, Switzerland7
Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye7
MIT Lincoln Laboratory, 244 Wood St., Lexington, Ma. 024207
Norwegian Biometrics Laboratory, NTNU - Gj⊘vik, Norway7
CRIPAC & NLPR, CASIA7
Centre for Research & Technology-Hellas, Thessaloniki, Greece7
Fondazione Bruno Kessler, Trento, Italy7
University of Catania, Catania, Italy7
University of California7
Yildiz Technical Univeristy, Computer Eng. Dept. İstanbul, Turkey6
Dept. of Comput. Sci., Houston Univ., TX, USA6
SRI International Sarnoff Princeton, NJ 085406
LIRIS(UMR CNRS 5205) Ecole Centrale de Lyon, France6
IBM Research - Haifa, Israel6
Dept. of Comput. Sci., State Univ. of New York, Stony Brook, NY, USA6
Gdańsk University of Technology, Poland6
Department of Computer and Communication Systems, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia6
Pattern Analysis and Computer Vision (PAVIS), Italian Institute of Technology, Genova, Italy6
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore6
School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia6
Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K.6
Institute of Information Science and Technologies, ISTI-CNR, Pisa Italy6
Department of Computer Science, Southern Illinois University Carbondale, Carbondale, IL, USA6
PUC-RS, Brazil6
Visualization and Computer Vision Lab, General Electric, 1 Research Circle, Niskayuna, NY, USA6
Los Alamos National Laboratory, New Mexico, USA6
Institute for Building Informatics, Graz University of Technology (TU Graz), Graz, Austria6
Computer Engineering Dept., Amirkabir University, Tehran, Iran6
Speech, Audio, Image and Video Technology (SAIVT) Laboratory Queensland University of Technology, Australia6
School of Engineering, University of Baja California, Tijuana, México6
Thales Services, ThereSIS, Palaiseau, France6
Department of Computer Science and Statistics, Rey Juan Carlos University, Madrid, Spain6
Multi-Robot Systems (MRS) Research Group, German University in Cairo, Cairo, Egypt6
Department of Computer Science, Zhejiang Normal University Jinhua, P.R. China6
Computational Intelligence Research Group, Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment, Northumbria University Newcastle, NE1 8ST, UK6
UC Berkeley6
Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, P.R. China6
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, Germany6
Zhejiang University of Technology 288 Liuhe Rd. Hangzhou, P. R. China, 3100236
College of Mechatronic Engineering and Automation National University of Defense Technology Changsha, Hunan, P.R.China6
Dept. of Electrical and Electronic Engineering, University of Peradeniya6
Dept. of Eng. Sci., Oxford Univ., UK6
Institute for Systems and Robotics, Instituto Superior Técnico, Lisbon, Portugal6
Universidade Federal de Campina Grande, Brazil6
SIANI-Universidad de Las Palmas de Gran Canaria, Spain6
Hyung Ju Suh, a Caltech student, and Sarah Bechtle, are affiliated interns at JPL.6
Advanced Vehicle Engineering Centre, Cranfield University, Bedford, U.K.6
Computational Vision Group, School of Systems Engineering, University of Reading, Whiteknights, RG6 6AY, UK6
Department of Telecommunications and Multimedia, University of Zilina, Zilina, Slovakia6
Computer Science Department, Technion - Israel Institute of Technology, Technion City, Haifa, Israel, 320006
School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, U.K.6
Department of Electrical and Computer Engineering, The Johns Hopkins University Baltimore, MD, USA6
Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA6
NC A&T State University, Greensboro, NC, USA6
Institute for Infocomm Research, A*STAR, Singapore, Singapore6
University of California, Irvine, Irvine, CA, USA6
School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, 610054, China P.R.C6
INRIA, France6
Hacettepe Bilgisayarlı Görü Laboratuvarı (HUCVL), Hacettepe Üniversitesi, Turkey6
Department of Mathematics and Computer Science, University of Marburg, Marburg, Germany6
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa6
Dept. of Computer Engineering and Mathematics, Rovira i Virgili University, 43007 Tarragona, Spain6
UC San Diego6
CReATe Fertility Centre, Toronto, Canada6
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan6
Electrical and Electronics Department, Polytechnic of Bari, Via E. Orabona, 4, 70125, Italy5
Active Vision Group, University of Koblenz-Landau, Universitätsstr. 1, 56070, Germany5
Escola Politécnica, Pontifícia Universidade Católica do Rio, Grande do Sul5
School of Information Science and Engineering, Graduate University of Chinese Academy of Sciences5
VisLab srl, c/o Dipartimento di Ingegneria dell'Informazione, Università degli Studi di Parma, Italy5
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco - Brazil5
Dept. of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology, Dhaka-1000, Bangladesh5
CNR IFC-Institute of Clinical Physiology, Pisa, Italy5
Institute for Human-Machine Communication, Technische Univerität München, Arcisstr. 3, 80333 Munich, Germany5
Computer Science Department, Bina Nusantara University, Jakarta, Indonesia5
Securics, Inc, USA5
Gokongwei College of Engineering, 2401 Taft Ave, Malate, Manila, 1004 Philippines5
Norwegian Biometrics Laboratory, Gj⊘vik University College, 2802 Gj⊘vik, Norway5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan5
Inst. Nat. des Telecommun., Evry, France5
Centro de Visión Por Computador-Edificio O, Universidad Autónoma de Barcelona, Bellaterra, Spain5
Toyota Central R&D Labs., Inc., Nagakute, Japan5
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Bratislava5
Chongqing Institute of Green and Intelligent Technology, CAS, Chongqing, 4007145
CASIS at the Department of Computer Science, North Carolina A&T State University, Greensboro, NC 27411, USA5
Department of Information Technology, National Institute of Technology, Karnataka, Surathkal5
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Minas Gerais, Brazil5
Gwangju Institute of Science and Technology5
Institute for Manufacturing Engineering and Automation, Fraunhofer IPA, Stuttgart, Germany5
School of Engineering and Built Environment, Glasgow Caledonian University, Scotland, United Kingdom5
GREYC Laboratory, ENSICAEN - University of Caen - CNRS, 6 Boulevard Maréchal Juin, 14000, France5
Federal University of Rio de Janeiro, Cx.P. 68504, CEP 21945-970, Brazil5
Department of Computer Science and Engineering, University of Moratuwa, Sri Lanka5
Computer Technology Department, University of Alicante, Spain5
Slovak University of Technology in Bratislava, Faculty of Informatics and Information Technologies, Ilkovičova 2, 842 16, Slovak Republic5
Daimler AG, R&D, Böblingen, Germany5
GI-IATa, Centro de Investigación, Desarrollo e Innovación en Ingeniería, Universidad Politécnica Salesiana, Cuenca-Ecuador5
Dept. of Computer Science, Faculty of Science Chouaib Doukkali University, El Jadida, Morocco5
Surrey Univ., Guildford, UK5
Machine Vision Laboratory, University of the West of England, Bristol, UK5
Leibniz Universität Hannover, Institute of Microelectronic Systems, 30167 Hanover, Germany5
Department of Electronics, University of Alcalá (UAH), Alcalá de Henares, Madrid, Spain5
University of California, Riverside, CA, USA5
Department of Mathematics and Computer Science, University of Udine, Udine, Italy5
Asian Institute of Technology (AIT), Pathum Thani 12120, Thailand5
Centre for Autonomous and Cyber-Physical Systems, School of Aerospace, Transport and Manufacturing, Cranfield University, MK430AL, UK5
University of Bologna, Department of Computer Science and Engineering (DISI), Viale del Risorgimento 2, Bologna, Italy5
Xi'an University of Technology, Xi'an, 710048, P. R. China5
Department of Computer Science, Taibah University, College of Computer Science and Engineering, Medina, Saudi Arabia5
Technische Universität München, Munich, Germany5
School of Automatic, Nanjing University of Posts and Telecommunications, Nanjing, 2100465
Southern Illinois University at Carbondale, IL, USA5
Department of Electrical and Computer Engineering Texas A&M University College Station, TX 778435
Hyundai Motor Company, Gyeonggi-do in South Korea5
Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland5
BMW Group Technology Office5
Pakistan Navy Engineering College, Karachi National University of Science and Technology, Islamabad Pakistan5
Department of Computer Science and Information Engineering, Nation Taiwan University, Taipei, Taiwan, ROC5
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), 08028, Barcelona, Spain5
Department of Electronic and Computer Engineering, Brunel University London, UK5
School of Electronics and Telecommunications, Hanoi University or Science and Technology, Vietnam5
Universitat Politècnica de Catalunya5
School of Automation Science and EngineeringSouth China University of Technology5
Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, Dijon, France5
School of Information and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, Thailand5
Siqura B.V., Gouda, The Netherlands5
Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy5
Computer Vision Lab - Syed Babar Ali School of Science & Engineering Lahore University of Management Sciences5
Computer Vision Center, Autonomous University of Barcelona, Edifici O, 08193 Bellaterra, Barcelona, Spain5
Graduate School of Electrical Engineering, University of Ulsan, Ulsan 44610, Korea5
ERAU 3700 Willow Creek Rd Prescott, AZ 863145
Center for Advanced Studies in Identity Sciences, North Carolina A&T State University5
The authors are with the Department of Teleinformatics Engineering,Federal University of Ceará C.P. 6007, CEP: 60555-760,Fortaleza-CE, Brazil5
Centro de Investigación en Informática para la Ingeniería (CIII) Universidad Tecnológica Nacional, Facultad Regional Córdoba, Maestro Lopez esq. Cruz Roja Argentina, Córdoba Argentina5
INESC-ID, IST, Universidade de Lisboa, Rua Alves Redol 9, 1000-029 Lisbon, Portugal5
Department of Computer Science, CAMP, Technische Universität München (TUM), Germany5
Technion - Israel Institute of Technology5
Department of Information and communication engineering, INHA University Computer Vision Laboratory, Incheon, South Korea5
Hebrew University of Jerusalem, Jerusalem, Israel5
Kulliyyah of Information & Communication Technology, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia5
University of California Irvine, CA5
Faculty of Information Technology, College of Information and Communication Technology, Thai Nguyen University, Vietnam5
Faculty of Science and Technology, Tokyo University of Science, Chiba, Japan5
University at Albany, State University of New York, USA5
Lawrence Berkeley National Laboratory, Berkeley, USA5
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea5
Graduate School of Electrical and Computer Engineering, University of Ulsan, Ulsan 680-749, Korea5
Center for Research on Intelligent Perception and Computing, CASIA5
International Computer Institute, Ege University, Izmir, Turkey5
Cummins College of Engineering for Women5
Department of Electrical Engineering, University of California, Riverside5
Professorship of Communications Engineering, Chemnitz University of Technology, Reichenhainer Strasse 70, 09126, Germany5
Google, California, United States5
PARC, Palo Alto, CA, USA5
Institute for Infocomm Research - A*STAR, 1 Fusionopolis Way #21-01 Singapore 1386325
MIT Lincoln Laboratory, Lexington, MA, USA5
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, New York, USA5
Dept. of Computer Science, Indiana University Purdue University Indianapolis, USA5
Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand5
CTA, Gdańsk, Poland5
Johannes Kepler University, Linz, Austria5
Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung, University, Tainan, Taiwan, R.O.C5
Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Japan5
K.U. Leuven, Faculty of Engineering, Department of Electrical Engineering, Center of Processing Speech and Images at the Medical Imaging Research Center, University Hospitals Gasthuisberg, Herestraat 49 - bus 7003, B-3000 Leuven, Belgium5
Intelligent Systems Research Laboratory School of Computer Science and Electronic Engineering University of Reading, United Kingdom5
Centre for Intelligent Systems Research Deakin University, Australia5
Intel Labs5
University of Sheffield, Sheffield, United Kingdom5
Fujitsu Laboratories Limited, Kanagawa, Japan5
Electronics and Telecommunications Research Institute, Korea5
University of Tübingen, Germany5
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 212185
San Diego State University, San Diego, CA, USA5
LAAS-CNRS, Toulouse, France5
Department of Computer Science, Universidade Federal de Minas Gerais, Brazil5
Ghent University, Belgium5
School of Computer Science, Beijing Institute of Technology, Beijing 100081, P.R. China5
Department of Computer Engineering, Karadeniz Technical University, Trabzon, Turkey5
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia5
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, HR-10000 Zagreb, Croatia5
The Pennsylvania State University, University Park, PA, USA5
Department of Computer Science and Engineering, Nagoya Institute of Technology, Japan5
Institut für Informationsverarbeitung, Gottfried Wilhelm Leibniz Universität Hannover, Hannover, Germany5
Intelligent Systems Lab (LSI) from Universidad Carlos III de Madrid, Leganés, Spain5
Complutense University, Madrid, Spain4
Dept. of Computing, Curtin University GPO Box U1987, Perth, WA 68454
Department of Electronics and Communication Engineering, Hanyang University (ERICA Campus), South Korea4
School of Computing, Informatics & Media, University of Bradford, Bradford City, UK4
Johannes Bach, Jacob Langner, Stefan Otten and Eric Sax are with FZI Research Center for Information Technology, 76131 Karlsruhe, Germany4
Corporate Research & Development, Toshiba Corporation, Japan4
University of Udine, Via Delle Scienze, Udine, Italy4
Department of Telecommunication, Brno University of Technology, Czech Republic4
École de technologie supérieure (ÉTS) Montreal, Canada4
Department of Computer Engineering, K J Somaiya COE4
LITIS laboratory, INSA of ROUEN - University of Rouen, France4
Faculty of Electrical Engineering and Information Technology/Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Bratislava, Slovak Republic4
Department of Information Technology4
Rey Juan Carlos University, C. Tulipán, S/N, Móstoles, Madrid, Spain, 289334
POLCOMING, University of Sassari Viale Mancini 5-07100 Sassari - Italy4
Technische Hochschule Ingolstadt, Institute for Applied Research (IAF) Esplanade 10, 85049 Ingolstadt4
Image and Video Laboratory, Queensland University of Technology (QUT), Brisbane, Australia4
Universitas Indonesia, Depok, Indonesia4
Department of Electronics, Computer Sciences and Systems, University of Bologna, Cesena, Italy4
Intelligent Cognitive Tech. Research Dept., ETRI, Daejeon, Korea4
HumanTech Institute, University of Applied Sciences, Fribourg, Switzerland4
CEA LIST, Vision and Content Engineering Lab, Point Courrier 94, Gif-sur-Yvette, F-91191 France4
Laboratory of Autonomous Robotics, Department of Electrical & Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva, Israel4
Computer Engineering Department, Polytechnic School, University of Alcal á, Madrid, Spain4
MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA4
Faculty of Computing and Information Technology, Tunku Abdul Rahman University College, Setapak, Malaysia4
Department of Computer Science & Information Technology, University of Malakand, Khyber Pakhtunkhwa, Pakistan4
Chair of Production Engineering of E-Mobility Components of RWTH Aachen University, 52074 Aachen, Germany4
Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, 09123, Italy4
Advanced Technical Center - Israel, General Motors R&D, Hamada 7 Herzlyia, Israel4
Department of Information and Electronics, Graduate School of Engineering, Tottori University4
Department of Mathematics and Computer Science University of Basel4
IT: Instituto de Telecomunicações, Department of Computer Science, University of Beira Interior, Covilhã, Portugal4
LITIS laboratory4
Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, USA4
SATIE, Université Paris-Sud, ENS Cachan, CNRS, Université Paris-Saclay, 91405, Orsay, France4
Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386324
Centre de Visió per Computador Universitat Autònoma de Barcelona4
LIMIARF, Faculty of Sciences, Mohammed V University in Rabat, Morocco4
Université Paris-Sud, Institut d'Electronique Fondamentale, UMR8622, Orsay, F-91405, CNRS, Orsay, F-914054
IT Department, Mutah University, Karak, Jordan, 617104
Mitsubishi Electric Research Laboratories (MERL), 201 Broadway, Cambridge, MA 02139, USA4
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Guayaquil, Ecuador4
Graduate School of Engineering, Mie University4
Grupo de Tratamiento de Imágenes, Information Processing and Telecommunications Center (IPTC) and ETSI Telecomunicacioìn, Universidad Politécnica de Madrid, Madrid, Spain4
Universitat Politécnica de Catalunya, BARCELONATECH Image and Video Processing Group, C. Jordi Girona 31, Barcelona, 08034, Spain4
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, Michigan 48128, USA4
Faculty of Computer and Information Science, Ain shams university, Cairo, Egypt4
Dept. of Telecommunications and Multimedia, University of Zilina, Univerzitna 1, 010 26 Zilina4
Honda Research Institute, 375 Ravendale Dr, Suite B, Ravendale, CA, 94043, USA4
Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands4
Department of Industrial Engineering and Management, Faculty of Technical Sciences, Novi Sad, Serbia4
The Electronic Engineering Department, Sogang University, Seoul, Korea4
Streaming Lab, Shen Zhen Instituted of Information Technology4
Dept. Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran4
Department of Electrical and Information Engineering, Covenant University, Ota Ogun State, Nigeria4
Dept. of Comput. Sci. & Eng., Notre Dame Univ., USA4
Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Gliwice, Poland4
NTT Media Intelligence Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka, Kanagawa, 239-0847 Japan4
Department of Computer Science & Technology, Nanjing University of Science & Technology, Nanjing 210094. E-MAIL: laterfall2@yahoo.com.cn4
Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, 02881, USA4
Norwegian Biometric Laboratory, Gj⊘vik University College, Norway4
Xerox Research Centre Europe, FRANCE4
Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Brazil4
DRIVE EA 1859 Laboratory, Univ. Bourgogne Franche Comté, F58000, Nevers, France4
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA4
NVIDIA, Santa Clara, CA4
Willow Garage Inc., Menlo Park, CA, USA.4
Facultad de Ingeniería, Universidad Panamericana, Aguascalientes, Mexico4
Chair of Media Technology, TUM, Munich, Germany4
Corporate Research & Development Center, TOSHIBA Corporation, Japan4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology4
Technical University of Catalonia (UPC), Department of Signal Theory and Communications, Spain4
Technical University of Berlin (TUB), Communication Systems Group, Germany4
Radboud University, Nijmegen, HR, The Netherlands4
DII, Università degli Studi di Siena, Via Roma, 56 - 53100 (Italy)4
Institute for Systems and Robotics / IST, Technical University of Lisbon, Portugal4
GRAM, Dept. of Signal Theory and Communications, University of Alcalá, Alcalá de Henares, Spain4
Electronic, and Communication Engineering, Chuo University, Department of Electrical, Tokyo,Japan4
Department of Electrical and Computer Engineering, Beckman Institute Advanced Science and Technology, University of Illinois at Urbana–Champaign, Urbana, IL, USA4
Face Recognition and Artificial Vision Group - Universidad Rey Juan Carlos, C/ Tulipán, s/n - Móstoles - 28933 - Spain4
Dept of computer science International Islamic University Malaysia (IIUM) Kuala Lumpur, Malaysia4
Department of Medical Biophysics, University of Western Ontario, London, ON, Canada4
Department of Computer Science, Tamaki Campus, The University of Auckland, 1142, New Zealand4
Ist. di Studi sui Sistemi Intelligent per l'Automazione, CNR, Bari, Italy4
University of Mannheim, Mannheim, Germany4
Graduate School of Engineering, Mie University, Tsu, Mie, Japan4
Department of Computer Science, Western University, London, ON, N6A 5B7, Canada4
Fakulta riadenia a informatiky, Žilinská Univerzita v Žiline, Žilina, 01026, Slovakia4
School of Computing, Electronics and Mathematics, Faculty of Engineering, Environment and Computing, Coventry University, Priory Street, Coventry, CV1 5FB, United Kingdom4
Universidad Rey Juan Carlos, Spain4
Computer Science and Engineering Dept., University of Nevada Reno, USA4
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105204
Norwegian Biometrics Laboratory, NTNU, 2802 Gj⊘vik, Norway4
Electrical Engineering Department Amirkabir University of Technology Tehran, Iran4
Lab-STICC, Université de Bretagne Occidentale and Université de Bretagne Sud, France4
Dept. Computer Science, Montana State University, Bozeman, MT 59717, USA4
Department of Computer Science - University of Brasilia - Brazil4
Université de Nantes, France, Nantes, France4
Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan4
Department of Computer Graphics and Multimedia, University of Brno, Brno, Czech Republic4
Nara Institute of Science and Technology4
Department of Technology, Pompeu Fabra University, Barcelona, Spain4
IP-based Communication Laboratory4
Department of Computers and Informatics, Košice, Slovakia4
School of Computing, The University of Southern Mississippi, Hattiesburg, MS, USA4
Computer Engineering Department, Universidad de Alcala de Henares, Madrid, Madrid, Spain4
Object Video, Inc. 11600 Sunrise Valley Drive, Suite 290, Reston VA 20191, USA4
Department of Biophysics and Electronics Engineering (DIBE), University of Genoa, Italy4
National ICT Australia, Sydney, Australia4
Institute of Computing - University of Campinas - Campinas, Brazil4
Green IT Service Research Team, Honam Research Center, Electronics and Telecommunications Research Institute, Gwangju, South Korea4
Computer Engineering Department, Galatasaray University, Istanbul, 4349, Turkey4
University of of Modena and Reggio Emilia4
Department of Mechano-Informatics. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan4
Division of IT-convergence, Daegu Gyeongbuk Institute of Science & Technology, Room 511, 5th floor, 3rd research center, 223, Sang-ri, Hyeonpung-myeon, Dalseong-gun, Republic of Korea4
Multimedia Department, Faculty of Computer Science & IT, University Putra Malaysia, Serdang, 43300, Malaysia4
Le2i, FRE CNRS 2005, Arts et Métiers, Université Bourgogne Franche-Comté, France4
Institute for Human-Machine Communication, Technische Universität München, Germany4
School of Computer Science and Electronic Engineering, University of Essex, Colchester, CO4 3SQ, United Kingdom4
Department Moving Picture Technologies, Fraunhofer IIS, Erlangen, Germany4
Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain4
CC Innovation in Intelligent Multimedia Sensor Networks, Lucerne University of Applied Sciences and Arts (HSLU), Lucerne, Switzerland4
Istituto Italiano di Tecnologia (IIT), Pattern Analysis and Computer Vision (PAVIS), Via Morego 30, 16136 Genova, Italy4
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Korea4
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, 133-791, Korea4
Federal University of Rio de Janeiro - COPPE - Electrical Engineering Program, Rio de Janeiro, Brazil4
Institute for Technological Development and Innovation in Communications (IDeTIC), Signals and Communications Department, University of Las Palmas de Gran Canaria Las, Palmas de Gran Canaria, Spain4
CSIR-Central Scientific Instruments Organisation, Chandigarh, 1600304
Facultad de Ingenieria, Universidad Panamericana, Aguascalientes, Mexico4
Department of Computer Science University of Rochester, NY 14627, USA4
Mathematic and Application Laboratory, FSTT, Tangier, Morocco4
Universiti Sains Malaysia, Penang, Malaysia4
Universitat Politècnica de València, iTEAM Research Institute, Camino de Vera s/n, 46022, Spain4
École Polytechnique de Montréal, Montréal, QC, Canada4
University of Bologna4
The University of Dayton, Dayton, OH 45469, USA4
Departments of Computer Science, Youngstown State University, Youngstown, OH 44555, USA4
Faculty of Engineering Science, Department of Systems Innovation, Arai Laboratory at Osaka University, Japan4
JOL WAVE Telecom Italia, Catania, Italy4
Department of Psychology, Università della Campania, “Luigi Vanvitelli”, and IIASS, Caserta, Italy4
Dept. of Electron., Alcala Univ., Madrid, Spain4
Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan4
School of Computing, University of Southern Mississippi, Hattiesburg, 39406, USA4
Université de CaenBasse-Normandie, UMR 6072 GREYC, F-14032 Caen, France4
Institute of Networked and Embedded Systems and Lakeside Labs, Alpen-Adria-Universität Lakeside Park B02b, 9020 Klagenfurt, Austria4
Cognitive Systems Group, SFB/TR 8 Spatial Cognition, University of Bremen4
EPFL, Lausanne4
Media Recognition Laboratory, KDDI Research, Inc., Saitama, Japan4
Institute of Mathematics and Statistics, University of São Paulo, Brazil4
Queen's University Belfast, Belfast4
Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, 98694, Germany4
College of Computer Science and TechnologyZhejiang University4
CVLab, EPFL, Lausanne, Switzerland4
University College Dublin, Dublin, Ireland4
Multimedia Communications Laboratory, University of Information Technology, VNU-HCM, Vietnam4
Department of Electrical and Computer Engineering, American University of Beirut, Beirut, Lebanon4
Grupo de Tratamiento de Imágenes, UPM, Madrid, Spain4
Department of Radio Electronics, SIX Research Center, Brno University of Technology (BUT), Czech Republic4
Department of Electrical Engineering, University of Science and Technology, Tehran, Iran4
Department of Electrical and Computer Engineering, Air University, Islamabad, Pakistan4
Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA4
Computer Vision Group, Friedrich Schiller University of Jena, Germany4
School of Electrical Engineering and Informatics, Institut Teknologi Bandung4
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA4
Xerox Research Center Webster, 800 Phillips Road, MS147-57B, Webster, NY 145804
Department of Electrical and Computer Engineering, University of Auckland4
Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece4
Idiap Research Institute - CH-1920, Martigny, Switzerland4
University of Tunis, The National Higher school of engineers of Tunis (ENSIT), Laboratory of Signal Image and Energy Mastery, LR13ES03 (SIME), Tunis, Tunisia4
Institute of Communication Acoustics, Ruhr-Universität Bochum, Germany4
Dept. of Computer Engineering, Keimyung University, Daegu, Korea4
Visual Sensorics & Information Processing Lab, Goethe University, Frankfurt am Main, Germany4
EECS Department, University of Kansas, Lawrence, KS4
The Institute of Electronics, Communications and Information Technology (ECIT), Queens University Belfast, UK4
Multimedia Signal Processing Group - MMSPG, Institute of Electrical Engineering - IEL, Ecole Polytechnique Fédérale de Lausanne - EPFL, CH-1015, Switzerland4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Messina, Italy4
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, Lecce, Italy4
School of Mechatronic Engineering, UniMAP, Malaysia4
LRTT, Unit Associe au CNRST (URAC 29), Faculty of Sciences, Mohammed V University-Agdal, Rabat, Morocco4
Department of Computer Science, The University of North Carolina at Chapel Hill, USA4
Technische Universität Berlin, Germany4
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Pulau Pinang, Malaysia4
Institute for Computer Research (University of Alicante).4
Florida Atlantic University, I-SENSE4
Department of Electronic Engineering, the Chinese University of Hong KongHong Kong4
LIARA Laboratory, University of Quebec at Chicoutimi (UQAC), Boulevard de l'Université, Chicoutimi (Quebec), Canada4
Virginia Tech4
Philips Research, Eindhoven, Netherlands4
Center for Research in Intelligent Systems, University of California Riverside, 92521, US4
School of Computer Science and Software Engineering, The University of Western Australia 35 Stirling Highway, Crawley 6009, Western Australia, Australia4
Acceder Research Group, Universidad Militar Nueva Granada, Bogota, Colombia4
ECE Dept. and Digital Tech. Center, Univ. of Minnesota, Mpls, MN, 55455, USA4
KULeuven, Leuven, Belgium4
Department of Microelectronics and Computer Science, Lodz University of Technology, Lodz, Poland4
School of Information Science & Engineering, Lanzhou University4
School of Electrical and Computer Engineering, University of Seoul, Seoul, Korea4
Department of Computer Science and Engineering, University of California, San Diego, USA4
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand4
PRIS-lab: Pattern Recognition and Intelligent Systems Laboratory, Department of Electrical Engineering, School of Engineering and Cancer-Lab, Tropical Diseases Research Centre (CIET), Universidad de Costa Rica, San José, Costa Rica4
Yahoo Research, San Francisco, CA, USA4
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Malaysia4
School of Electrical and Electronic Engineering and ST Engineering - NTU Corporate Lab, Nanyang Technological University Singapore4
School of Computer Science University of Hertfordshire United Kingdom4
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Ilkovičova 3, 812 19, Slovak Republic4
Army Research Laboratory, Computational and Information Sciences Directorate4
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, Peoples Republic of China4
Institute for Electronics, Signal Processing and Communications (IESK), Otto-von-Guericke-University Magdeburg, D-39016, P.O. Box 4210 Germany4
School of Mechatronic Engineering, UniMAP, Perlis, Malaysia4
ISTI-CNR, Via G.Moruzzi, Italy4
Department of Geography Information Science, School of Geography Science4
Instituto Universitario SIANI, Universidad de Las Palmas de Gran Canaria - Spain4
National Robotics Engineering Center, Carnegie Mellon University Robotics Institute, Pittsburgh, Pennsylvania 152014
University of São Paulo, São Paulo, Brazil4
The City College, City University of New York, New York, NY, USA4
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea4
Université de Bourgogne, Le2i UMR 5158 CNRS, 12 rue de la fonderie, 71200 Le Creusot, France4
Smart Surveillance Interest Group, Department of Computer Science, Universidade Federal de Minas Gerais, Minas Gerais, Brazil4
Centre de Recherche en Informatique Signal et Automatique de Lille, Univ. Lille, CNRS, Centrale Lille, UMR 9189- CRIStAL, Lille, F-59000, France4
Institute of Control Engineering of Tool Machines and Manufacturing Units (ISW), University Stuttgart, 70174, Germany4
School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Chester Street, Manchester, M1 5GD, UK4
Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119 Wuppertal, Germany4
Department of Computer Science, University of Northern British, Columbia Prince George, BC, Canada4
Faculty of Engineering, Ain Shams University, Computer and Systems Engineering Department, Cairo, Egypt4
RBCS Department of the Fondazione Istituto Italiano di Tecnologia, Genoa, 16163, Italy4
VisionLab - Computer Vision Laboratory4
Smart Surveillance Interest Group, Computer Science Department, Universidade Federal de Minas Gerais, Brazil4
College of Information and Control Engineering, China University of Petroleum (East China), #66 Changjiang West Road, Qingdao Economic & Technological Development Zone, 266580 China4
Graduate School of Information Science, Nara Institute of Science and Technology, Takayama-cho 8916-5, Ikoma-shi, Nara, Japan4
MBRDNA, Sunnyvale, USA4
Department of Engineering and Technology, Kimmel School, Western Carolina University, Cullowhee, NC 28723 U.S.A.4
CEA, LIST, Vision & Content Engineering Laboratory, Gif-sur-Yvettes, France4
INRIA, Sophia Antipolis, France4
Faculty of Computer Science, University of Freiburg, Freiburg, Germany4
Stanford University in the Computer Science department4
Department of Electronics, University of Alcalá, Alcalá de Henares, SPAIN4
Dept. name of organization Electronics and Telecommunications Research Institute Daejeon, South Korea4
Auckland University of Technology, Auckland 1010 New Zealand4
Information System Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt4
Graduate School of Informatics, Kyoto University Yoshida-Honmachi, Sakyo Ward, Kyoto 606-8501, Japan4
Department of Environment Perception, Daimler AG, Böblingen, Germany4
VISILAB Group, E. T. S. I. Industriales, University of Castilla–La Mancha, Ciudad Real, Spain4
Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology, Beijing 100081, P. R. China4
Institute for Human-Machine Communication, Technische Univeritat Munchen, Arcisstr. 3, 80333, Germany4
Faculty of Computer Science, Universitas Indonesia, Indonesia4
Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Japan4
Universidad de Vigo, Vigo4
Department of Electronics, Escuela Politécnica Superior, University of Alcala, Alcalá de Henares, Madrid, Spain4
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA4
School of Automation, Nanjing University of Posts and Telecommunications, Nanjing, 210023, P.R. China4
Zenith Team, INRIA, LIRMM, Montpellier, France4
Graduate Course in Computer Science, Pontifical Catholic University of Rio Grande do Sul, Brazil4
Computer Vision & Image Processing Laboratory (CVIP), Univ. of Louisville, KY, 40292, USA4
Open University of Catalonia, Barcelona, Spain4
NICTA and Australian National University4
University of Utah4
Johns Hopkins University, Baltimore, USA4
Department of Computer Vision and Image Understanding, Institute for Infocomm Research, 1 Fusionpolis Way, #21-01 Connexis, Singapore 1386324
National ICT Australia and UNSW, Sydney, Australia4
Machine Intelligence and Robotics Research Group, School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, 6681, Porto Alegre, RS, 90619-900, Brazil4
Convergence Research Center for Future Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology, 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu, 42988, korea4
School of Engineering and Built Environment, Glasgow Caledonian University, Glasgow, U.K.4
Information Technologies Institute - Centre for Research & Technology Hellas, Thessaloniki, Greece4
Université Européenne de Bretagne, France, INSA de Rennes, IETR, UMR 6164, F-357084
RECOD Lab, Institute of Computing (IC), University of Campinas (Unicamp), Campinas, SP, Brazil4
School of Automation, China University of Geosciences, Wuhan, 430074, P. R. China4
Normandie Univ, INSA Rouen, LITIS, 76000 Rouen, France4
Institute for Infocomm Research, Singapore, Singapore4
Communication Networks Institute (CNI) Dortmund University of Technology, Germany4
SATIE - CNRS UMR 8029, Paris-Sud University, Paris-Saclay University, France4
Department of Computer Science, Federal Urdu University of Arts, Science and Technology, Karachi, Pakistan4
Sabancı Üniversitesi, Turkey4
University of Colorado Boulder, Boulder, CO, USA4
Division Architecture des Systmes et Multimedia, Centre de Developpement des Technologies Avancees, CDTA, Algeria4
Hampshire, United Kingdom4
Austrian Institute of Technology, Donau-City-Straße 1, Vienna, Austria4
Leiden University, Leiden, Netherlands4
TNO, The Hague, Netherlands4
Department of Computer Science, Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal4
HMI Lab, VNU Hanoi University of Engineering and Technology, Hanoi, Vietnam4
School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University4
Audio-Visual Information Processing Laboratory (VIPLAB), Graduate Program in Informatics - Computer Science Department, Pontifical Catholic University of Minas Gerais (PUC Minas)3
Electronics Department, University of Alcalá (UAH), Alcalá de Henares, Spain3
Department of computer and communications engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia3
German–Turkish Advanced Research Centre for Information and Communication Technology, Berlin, Germany3
Intel Corporation, Hillsboro, OR, USA3
CRIStAL (UMR CNRS 9189), Villeneuve d'Ascq, France3
Universidade Nova Lisboa, Monte de Caparica, Portugal3
Politecnico di Torino, DAUIN, Torino, Italy3
Technische Universität München, Germany3
Signals and Images Laboratory, University of USTOMB, Oran, Algeria3
Department of Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Intel Corporation, Nice, France3
MIT, USA3
Valeo.3
Department of Informatics, Technische Universität München, München, Germany3
Universidade Nova Lisboa, Lisboa, Portugal3
Graduate School of Electrical Engineering, University of Ulsan, Korea 680-7493
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ 08540, USA3
Intelligent Vision Research Lab, Department of Computer Science, Federal University of Bahia3
Università di Firenze - Italy3
Vision for Robotics Lab, ETH Zurich, Switzerland3
Department of Media Technology, Linnaeus University, Vaxjo, Sweden3
Department of Information Technology, University of Transport and Communications (UTC), Hanoi, Vietnam3
DISCo, Universita degli Studi di Milano Bicocca, Milano, Italy3
Institute of Control Theory and Systems Engineering, TU Dortmund University, Otto-Hahn-Str. 8, 44227 Dortmund, Germany3
AEOP UNITE, Las Vegas, Nevada3
University of Nevada-Las Vegas, Las Vegas, Nevada3
Department of Information and Computer Science - University of Trento via Sommarive 5, 38123 Trento - Italy3
The Center for Advanced Computer Studies (CACS), University of Louisiana at Lafayette, LA, USA3
CNRS, LAAS, 7 av du colonel Roche, F-31400 Toulouse, France3
Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil3
Electrical Engineering Department, Faculty of Engineering - Port-Said, Suez Canal University, Port Fouad 42523, Egypt3
School of Computer Engineering, Nanyang Technologicial University, Singapore3
IPLAB, Department of Mathematics and Computer Science, University of Catania, Italy3
INRIA Sophia Antipolis - Méditerranée. 2004 Route des Lucioles - BP93, Sohpia Antipolis, 06902, France3
Visualization and Computer Vision Laboratory, General Electric Global Research Center, 1 Research Circle, Niskayuna, NY, 123093
Department of Computer Science, Georgia State University, P.O. Box 5060, Atlanta GA 30302-5060, USA3
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Tshwane, South Africa3
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, Virginia, USA3
ComS2IP Group, School of Electrical and Electronic Engineering, University of Newcastle upon Tyne, NE1 7RU, UK3
UCL Interaction Centre University, College London London, United Kingdom3
Department of Systems and Computing, Federal University of Campina Grande, Av. Apríigio Veloso, 882, 58429-900 Campina Grande, PB, Brazil3
Université de Lyon, CNRS, Université Lumière Lyon 2, LIRIS, UMR5205, France3
Computer Vision Lab., INHA University, Incheon, Korea3
Department of Computing, Faculty of sciences, Ibn Tofail University, Kenitra, Morocco3
Dept. Electrical Engineering and Computer Science, Niederrhein University of Applied Sciences, Krefeld, Germany3
Laboratory for Intelligent and Safe Automobiles (LISA), University of California, San Diego, USA3
LI3C Laboratory, Department of Electrical Engineering, University of Biskra, BP 145 RP, 07000 Biskra., Algeria3
Algılayıcılar, Görüntü ve Sinyal İşleme Grubu, HAVELSAN A.Ş. Ankara, Türkiye3
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 6th Km Charilaou-Thermi Rd, Thessaloniki, Greece 570013
Informatics Institute University of Amsterdam, Amsterdam3
CogInfoCom Based LearnAbility Research Group, University of Dunaujvaros, Dunaujvaros, Hungary3
Education and Cultural Studies (COSPECS) University of Messina, Dept. for Cognitive Sciences Psychology, Messina, Italy3
Computer Vision Laboratory - ETH Zurich3
School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-Dong, Buk-Gu, Taegu 702-701, Republic of Korea3
Dept. of Mediamatics, Delft Univ. of Technol., Netherlands3
1-1 Showa-cho, DENSO CORPORATION, Kariya, Aichi, 448-8661, Japan3
Bosch Corporate Research, Stuttgart, Germany3
Indian Institute of Technology Kharagpur, Kharagpur, India - 7213023
Department of Information Management, National Kaohsiung University of Science and Technology, Taiwan3
EPFL3
School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology University , Melbourne, Australia3
Social Robotics Lab, Department of Computer Science, University of Freiburg, Germany3
Dept. of Audio Visual Technology, Technische Universitt, Ilmenau, Germany3
Faculty of Computer Science and Engineering, HCMC University of Technology, Ho Chi Minn, Vietnam3
Department of Computer Science and Engineering, Via Sacchi, 3 - 47521 Cesena (FC) - Italy3
LRIT-CNRST URAC 29, Mohammed V University In Rabat Faculty of Sciences Rabat, Morocco. B.P. 1014 Rabat, Morocco3
Insitute of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany3
Department of Electronic Engineering, School of Engineering, Sogang University, Seoul 04107, Korea3
RITS Project-Team, INRIA Paris, Paris, France3
CERTH-ITI, Thermi-Thessaloniki, Greece3
Dept. of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan3
Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University, Australia3
AIT Austrian Institute of Technology, Vienna, Austria3
Advanced System Technology, STMicroelectronics, Agrate Brianza, Italy3
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, Brazil3
INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal3
Department of Research & Development, Extol MSC Berhad, Kuala Lumpur, Malaysia3
Intel China Research Center, Beijing, P. R. China3
Department of Computer Engineering and Information Technology, Razi University, Kermanshah, Iran3
School of Information and Communications, Gwangju Institute of Science and Technology, 61005, South Korea3
Computational Vision Group, Department of Computer Science, University of Reading, UK3
Vision and Content Engineering Laboratory, CEA LIST, Gif-sur-Yvette, France3
School of Electrical Engineering and Computer Science, ASRI Seoul National University, Seoul, Korea3
Centro Universitario de la Defensa (CUD) and Instituto de Investigación en Ingeniería de Aragón (I3A), Zaragoza, Spain3
Computer Vision Laboratory, School of Information and Communications, GIST, Republic of Korea3
Department of Electrical and Computer Engineering The University of Texas at Austin3
United Technologies Research Center (UTRC), East Hartford, Connecticut, USA. now at Southern Illinois University, Carbondale, Illinois, USA3
Aragon Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain3
Inha University, Incheon, South Korea3
HIT Campus of University Town of Shenzhen, Shenzhen, China PC: 5180553
School of Computer Science, Center for Optical Imagery Analysis and Learning (OPTIMAL)3
Department of Computer Engineering, Boğaziçi University, Bebek, ıstanbul, Turkey3
Vidyalankar Institute of Technology, Mumbai3
University of Augsburg, Augsburg, Germany3
Technical University of Iaşi, Faculty of Electrical Engineering3
IBM Research India3
Department of Computer Science and Engineering, DIU Human Computer Interaction Research Lab (HCI RL), Daffodil International University3
Center for Automation Research, UMIACS University of Maryland, College Park, MD 207423
Department of Computer Science and Engineering, University of Bologna, Cesena, Italy3
Universität Passau, Passau, Germany3
Institute for Human-Machine Communication Technische Universitat Munchen, Germany3
EURECOM Sophia Antipolis, France3
LAAS-CNRS, INSA, Université de Toulouse, CNRS, Toulouse, France3
Department of Electrical and Computer Engineering, American University of Kuwait3
National University of Science & Technology, (NUST), College of EME, Rawalpindi, Pakistan3
Department of Computer Engineering, American University of Sharjah (AUS), Sharjah, United Arab Emirates3
Laboratory of Electronics and Information Technology (LETI), National Engineering School of Sfax, Sfax, B.P.W.3038, Tunisia3
University Ca' Foscari, Venezia Mestre, Italy3
Indian Institute of Technology Delhi, New Delhi 1100163
Robotics and Computer Vision Research Laboratory, ADSIP Research Centre, School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK3
INRIA Rocquencourt, France3
Laboratoire d’imagerie, de vision et d’intelligence artificielle École de technologie supérieure, Université du Québec, Montréal, Canada3
Center for Research in Intelligent Systems, University of California, Riverside Winston Chung Hall 216, Riverside, CA, 92521-0425, USA3
Data Management and Biometrics Group, Faculty of EEMCS University of Twente, Enschede, AE, 7500, The Netherlands3
North Carolina A&T State University, Greensboro, NC3
School of Computing, Universitas Telkom, Multimedia Laboratory, Bandung, West Java, 402573
Parallel processing image. Computer Engineering Department, Electrical and Computer Faculty. Tarbiat Modares, Tehran, Iran3
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
AdViSe Technology Center, KU Leuven Department of Industrial Engineering Sciences, Germany3
British Malaysian Institute, Universiti Kuala Lumpur, Selangor3
Intelligent Systems Laboratory (LSI), Universidad Carlos III de Madrid, Leganés, Spain3
School of Electrical Engineering and the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology, Atlanta, GA 30308, USA3
Technicolor Research and Innovation, Cesson-Sévigné, France3
Department of Electrical Engineering University of Windsor, 401 Sunset Ave, Windsor, ON, Canada3
Dept. of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad3
Signal Processing and Speech Communication Lab, University of Technology, Graz, Austria3
Computational Vision Group, School of Systems Engineering, University of Reading, UK3
School of Engineering and Digital Arts, University of Kent Canterbury, Kent, United Kingdom3
Computer Vision Center, Campus UAB, O-08193, Barcelona, Spain3
Department of Applied Mechanics, Chalmers University of Technology, SE-412 96 Göteborg, Sweden3
Kulliyyah of Information & Communication Technology International Islamic University Malaysia Kuala Lumpur, Malaysia3
Department of Electrical Engineering Indian Institute of Technology Kanpur, India - 2080163
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia, 41121 MO, Italy3
Electrical Engineering Pennsylvania State University3
Electrical and Computer Engineering Johns Hopkins University3
Computer Science Department, Central University of South Bihar3
Qatar Computing Research Institute, HBKU, Doha, Qatar3
IBM T.J. Watson Research Center, USA3
The Pennsylvania State University, USA3
Victoria University, Melbourne, Australia3
Computer Science and Engineering, UC San Diego, La Jolla, CA 92093, USA3
Center for Research on Intelligent Perception and Computing3
University of Melbourne, Parkville, Australia3
Certis, Lab, ENPC ParisTech, France3
Australian National University (ANU), Australia3
School of Electrical and Computer Engineering, University of Seoul, Korea3
Dept. of Comput. Sci., Sao Paulo Univ., Brazil3
Video Processing and Understanding Lab, Universidad Autónoma de Madrid, Madrid, Spain3
Departamento de Seguridad y Defensa, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador3
School of Healthcare Science Manchester Metropolitan University, UK, M1 5GD3
Department of Information system Science, Graduate School of Engineering, Soka University, Hachioji-Shi, Tokyo, Japan3
GREYC, Universite of Caen, Caen, France3
Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal3
Computer Vision Laboratory, ETH Zurich, Sternwartstrasse 7, 8092, Switzerland3
Dept. of Inf., Aristotle Univ. of Thessaloniki, Greece3
School of Information and Communications, Gwangju Institute of Science and Technology, Buk-Gu, Gwangju, South Korea3
Faculty of Engineering and Information Technology, University of Technology, Sydney3
Mie university, Mie, Japan3
Universidade Federal de Minas Gerais (UFMG), Brazil3
Human-Machines Interaction (HMI) Laboratory, Dept. of Industrial Informatics, TEI of Kavala, Agios Loukas 65404, Greece3
Thundercloud Research Lab, Faculty of Info. Science & Technology (FIST) Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, Malaysia3
LIRIS, École Centrale de Lyon, UMR5205, F-69134, France3
Electrical Engineering Department and Advanced Mining Technology Center, University of Chile Santiago, Chile3
MIT Lincoln Laboratory3
Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Košice, Slovakia3
DIEI, University of Cassino and of Southern Lazio, Via G. Di Biasio 43, (FR) - Italy3
Dept. of Electrical Engineering and Information Technology, GET-Lab, University of Paderborn, Pohlweg 47-49, D-33098, Germany3
Southern University of Science and Technology & University of Technology Sydney, Sydney, Australia3
Department of Electronic Systems, Vilnius Gediminas Technical University, Naugarduko g. 41-413, Vilnius LT-03227, Lithuania3
Venue Maps Department, HERE North America LLC, Chicago, IL, USA3
Universidade Federal do Rio de Janeiro, Cx.P. 68504, Rio de Janeiro, RJ, 21945-970 CEP, Brazil3
Movidius Ltd. 1st Floor, O'Connell Bridge House, D'Olier Street, Dublin, Ireland3
S.P.I.T., Mumbai3
Hewlett-Packard Labs3
Universitat Heidelberg, Heidelberg, Germany3
Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain3
Graduate School of System Design Tokyo Metropolitan University Tokyo, Japan3
Graduate School of Computer and Cognitive Sciences, Nagoya, Japan3
Informatics Engineering Dept., Engineering Faculty, Mataram University, J1. Majaphit 62 Mataram Lombok, Indonesia3
Daimler AG, Wilhelm-Runge-Str. 11, Ulm, 89081, Germany3
Halmstad Univ., Sweden3
Department of Computer Science, Independent University Bangladesh, Dhaka, Bangladesh3
Image Processing Group, Universidad Politécnica de Madrid, Madrid, Spain3
University of Luxembourg, Luxembourg3
Department of Industrial and Systems Engineering, Mississippi State University, Mississippi State, MS, USA3
Federal University of Technology - Parana, Brazil3
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA3
Department of Electronics, University Alcalá, Madrid, Spain3
MPI Informatics, Saarbrücken3
Department of Measurement & Control, University of Kassel, Kassel, Germany3
School of Computing, The University of Leeds, United Kingdom3
School of Science and Technology, Federal University of Rio Grande do Norte, Natal, RN, Brazil3
Naval Aeronautical and Astronautical University, Department of Electronic and Information Engineering3
University of Jinan, Jinan City3
Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology, Czech Republic3
Laboratory of Inverse Problems, Modeling, Information, and Systems (PI:MIS), Department of Electronics and Telecommunications, University of May 08 1945, B.P box 401, Guelma 24 000, Algeria3
Dept. of CSE, SUST Sylhet, Bangladesh3
Robotics Research Center, IIIT Hyderabad3
Department of Electrical and Computer Engineering, Indiana University Purdue University Indianapolis, 723 W. Michigan St., IN46202, USA3
Dipartimento di Informatica, Università di Milano, Via Comelico 39/40, 20135, Italy3
Texas A8M University, TX, USA3
Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy3
Department of Electronics, University of Alcalá, Madrid, Spain3
Embedded Systems Laboratory, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland3
University of Freiburg, Freiburg, Germany3
University of Information Technology, Department of Knowledge Engineering and Machine Learning, Ho Chi Minh city, Vietnam3
Department of Computer Science, University of Brasilia, DF 70910-900 Brazil3
University of sciences of Monastir, Monastir, Tunisia3
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10 000, Croatia3
Pontifícia Universidade Católica do Rio Grande do Sul, Brazil3
Dept. of Computer Science, U. of Southern California3
KULeuven, EAVISE3
Environment Perception, Daimler R&D, Sindelfingen, Germany3
Postgraduate Program in Computing State University of Maringá, Avenida Colombo, 5790, Maringa - Parana - Brasil3
PRISME laboratory, 12 rue de Blois, F-45067 Orleans Cedex2, France3
Ecole Polytechnique Fédérale de Lausanne, Lausanne3
Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Erlangen, Germany3
School of Mathematics, Statistics and Computer Science, UKZN, Durban, South Africa3
Department of Electrical Engineering, and Advanced Mining Technology Center, Universidad de Chile Av. Tupper 2007, Santiago, Chile3
Department of Computer Engineering, University of Kashan, Iran3
Dept. of ECE, SVEC, Tirupati, AP3
Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Malaysia3
Department of Electronic Engineering, Inha University, Republic of Korea3
Texas State University-San Marcos3
Institute for Human-Machine Communication, Technische Universität München3
Department of Electronics & Computer Engineering, Chonnam National University, Gwangju, South Korea3
Polish-Japanese Academy of Information Technology R&D Center, Warsaw, Poland3
Faculty of Electronics, Wroclaw University of Science and Technology, Wroclaw, Poland3
Face Aging Group, Computer Science Department, UNCW, USA3
City University of New York, New York, NY, USA3
Institute of Transportation Systems, German Aerospace Center, Rutherfordstr. 2, Berlin, 12489, Germany3
Institute of Computer Science University of Goettingen, Data Fusion Group, Germany3
Signal Processing Research Group Electrical and Computer Engineering Department, Yazd University Yazd, Iran3
Dept. of Electrical and Computer Engineering, University of Michigan 1301 Beal Avenue, Ann Arbor, MI 48109-21223
CVSSP Group, Surrey Univ., Guildford, UK3
Informatics & Telematics Institute, Centre for Research & Technology Hellas, Thermi-Thessaloniki 57001 Greece3
Fraunhofer Institute for Manufacturing Engineering and Automation IPA, Robot and Assistive Systems Department, Nobelstraße 12, 70569 Stuttgart, Germany3
The University of Buckingham, Buckingham, MK18 1EG, UK3
Dpto. de Senales y Comunicaciones, Univ. de Las Palmas de Gran Canaria, Spain3
Bilgisayar Mühendisliği Bölümü, Başkent Üniversitesi, Ankara, Türkiye3
Kyushu Institute of Technology, Tobata, Kitakyushu, Fukuoka, Japan3
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore3
Department of Computer Science and Engineering Toyohashi University of Technolog Toyohashi, Japan3
Institute of Industrial Science The University of Tokyo, Tokyo, Japan3
Department of InformaticsSystems and Communication, University of Milano–Bicocca, Milan, Italy3
Instituto de Sistemas e Robótica, Lisbon, Portugal3
Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, Shahid Beheshti University G.C., Evin 1983963113, Tehran, IRAN3
Department of Electrical and Information Engineering, University of Cassino and of Southern Lazio, (FR), Italy3
Visual Analysis of People Laboratory, Aalborg University (AAU), Aalborg, Denmark3
Southern Illinois University at Carbondale, Carbondale, IL3
School of Information Technology, Computer Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand3
National Laboratory Astana, 53 Kabanbay batyr ave., Astana, Kazakhstan3
IRISA, University of Rennes 1, Rennes, France3
Nuremberg Institute of Technology Department of Computer Science3
Dept. of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan3
Computing Department, Universidade Federal de Ouro Preto, Ouro Preto, MG, 35400-000, Brazil3
Mercedes-Benz Research & Development North America, USA3
SHISEIDO CO., LTD. Beauty Solution Development Center, 3-9-1,Nishigotanda Shinagawa, Tokyo, 141-0031, Japan3
Information and media processing laboratories, NEC Corporation3
Aarhus University, Aarhus, Denmark3
Advanced Informatics School (AIS), Universiti Teknologi Malayisa (UTM), Kuala Lumpur, Malaysia3
Department of Systems Engineering, Universidad Carlos III de Madrid, C/ Butarque 15, Leganes, Spain3
Centro de Investigación y de Estudios Avanzados del I.P.N., Coordinación General de Tecnologías de la Información y las Comunicaciones Av. I.P.N. No. 2508, Col. San Pedro Zacatenco 07360, México, D.F., México3
Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Valencia, Spain3
Cerema, Department Laboratory of Clermont-Ferrand, 8-10 rue Bernard Palissy, F-63017 Cedex 2, France3
Faculty of Computer Engineering, Iran University of Science and Technology3
Mathematical and Computer Science Department, Faculty of Science, Sohag University, Egypt3
Institute of Applied Computer Science, Kiel University of Applied Sciences, Kiel, Germany3
Autonomous Driving System Research Group, ETR, Daejeon 34219, Korea3
Faculty of Engineering and Applied Science University of Regina Regina, Canada3
Elektronik ve Haberleşme Mühendisliği Bölümü, İstanbul Teknik Üniversitési3
Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., South Korea3
NASA Ames Research Center, Moffett Field, USA3
Brain Computer Interfaces and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, CO4 3SQ Colchester, UK3
Mitsubishi Electric Research Labs (MERL) Cambridge, Massachusetts, USA3
School of Engineering, Cranfield University, UK3
Department of Information Engineering, University of Firenze, Firenze, Italy3
Institut VEDECOM, Versailles, France3
Hasso Plattner Institute, Potsdam, Germany3
Gerhard-Mercator- University Duisburg, Department of Computer Science, Faculty of Electrical Engineering, 47057 Duisburg - Germany3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central Lancashire, Preston, PR1 2HE, UK3
Electrical and Computer Engineering Department, Semnan University Semnan, Iran3
Communication System Group, Technische Universität Berlin, Einsteinufer 17, 10587, Germany3
Department of Engineering Enzo Ferrari, University of Modena and Reggio Emilia 41125, Modena, Italy3
Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa3
Vistek ISRA Vision, Boğaziçi Üniversitesi, İstanbul, Türkiye3
Department of Engineering, University of Modena, Modena, Italy3
Bo¿gaziçi University, Electrical & Electronic Engineering Department, 34342 Bebek, Istanbul, Turkey3
Fujitsu Laboratories, Kawasaki, Kanagawa, Japan3
Department of Electronic and Computer Engineering National Taiwan University of Science and Technology3
Computer Engineering Department. University of Alcalá, Alcalá de Henares, Spain3
Department of Signal Theory and Communications Universidad Carlos III, Leganés (Madrid), Spain3
Robert Gordon University, Aberdeen, United Kingdom3
School of Information and Electronics, Beijing Institute of Technology, Beijing P. R. China3
Deir—University of Sassari, Sassari, Italy3
Department of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan3
GLA University3
Dept. of Inf. Technol., Okayama Univ., Japan3
School of Mechatronic Engineering, University Malaysia Perlis (UniMAP) Main Campus, Ulu Pauh, Perlis, Malaysia3
DII - University of Modena and Reggio Emilia, Via Vignolese 905 - Italy3
University of Vigo3
LIMSI, CNRS, Univ. Paris-Sud, Université Paris-Saclay3
UC Irvine3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, P.R. China, 2151233
Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea3
Interdisciplinary Laboratory of Research in Sciences and Technologies (LIRST), Sultan Moulay Slimane University, Morocco3
Computer Vision Group, Friedrich Schiller University Jena3
Department of Computer Science and Engineering, Chalmers I University of Gothenburg, Gothenburg, Sweden3
Australian Centre for Field Robotics (ACFR), School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney 2006 NSW, Australia3
Department of Electronics, University of Alcalá, Alcalá de Henares, Spain3
Laboratoire J.-L. Lagrange, UMR7293, Université de Nice Sophia Antipolis, Nice Cedex, France3
CERTH, Thermi-Thessaloniki, Greece3
Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran3
University of Salerno, Salerno, Italy3
XiHua University, Cheng Du3
Skolkovo Institute of Science and Technology, Skolkovo, Moscow3
Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, Houston, TX3
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka-1205, Bangladesh3
Department of Electrical and Computer Engineering University of California Santa Barbara, CA 93106, USA3
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, USA3
Digital Media Lab., Tillämpad Fysik och Elektronik, Umeå Universitet, SE-90187, Sweden3
Laboratory of Inverse Problems, Modeling, Information and Systems (PI:MIS), Department of Electronics and Telecommunications, University of 08 Mai 1945, P.O box 401, Guelma, Algeria3
Pattern Analysis and Computer Vision (PAVIS) Istituto Italiano di Tecnologia, Genova, Italy3
Le2i Laboratory, University of Burgundy, Le Creusot, France3
CES-Laboratory, Sfax Sud University, National Engineering School of Sfax, Tunisia3
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore3
Hitachi, Ltd., Tokyo, Japan3
University of California, Los Angeles, CA Dept. of Electrical Engineering3
School of Engineering and Technology, University of Hertfordshire, Hatfield AL10 9AB, UK3
Aoyama Gakuin University, Japan Sagamihara, Japan3
Multimodal Interactive Syst., Darmstadt, Germany3
SAMOVAR, Telecom SudParis, CNRS, University of Paris-Saclay, 9 rue Charles Fourier, Evry Cedex, 91011, France3
Computer Engineering and Computer Communications Department, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia3
Electrical Communications and Electronics Eng. Dept., Faculty of Engineering, Tanta University, Tanta, Egypt3
IBISC Laboratory, FRE CNRS 3190, University of Evry Val Essonne, Evry, France.3
Faculty of Computer Science and Engineering, Complutense University of Madrid, Madrid, Spain3
Image Understanding Group, Daimler AG R&D, Stuttgart, Germany3
Department of Electronic and Computer Engineering, Brunei University, London, London, UK3
IMAGO Research Group, Universidade Federal do Paraná, 81531-980 Curitiba, Brazil, PO Box 190923
Fac. of Inf. Technol., Multimedia Univ., Malaysia3
LA.R.A Laboratory, National Engineering School of Tunis, National Engineering School of Carthage, Tunis, Tunisia3
Institute for Autonomous Systems Technology (TAS), Bundeswehr University Munich, Neubiberg, 85577, Germany3
Networked Robotics and Sensing Laboratory, Engineering Science School in Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada3
Università degli Studi di Firenze, Firenze3
Advanced Analytics Institute, University of Technology, Sydney, Australia3
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, P.R. China3
Biometric Recognition Group-ATVS, EPS, UAM, C/ Francisco Tomas y Valiente 11, 28049 Madrid, Spain3
ETIS/ENSEA, University of Cergy-Pontoise, CNRS, UMR 8051, France3
Department of Computer Science, The University of Liverpool, UK3
Sao Paulo State University – UNESP 13506-900, Rio Claro, SP - Brazil3
Simula Research Laboratory, Norway3
Department of Computer Science, Virginia Tech, Discovery Analytics Center3
Research group GOTS, Universidad Industrial de Santander, Bucaramanga, Colombia3
TAMS group, Dept. Informatics, Hamburg University. Vogt-Koelln-Strasse 30, 22527, Germany3
Robotics, Perception and Learning Lab, KTH, Stockholm, Sweden3
Dept. of Computer Science and Electrical Engineering, University of Missouri at Kansas City, United States of America3
Centre for Intelligent Signal & Imaging Research, Department of Electrical and Electronic Engineering Universiti Teknologi PETRONAS, Tronoh, Perak, 31750, Malaysia3
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama, Ikoma, JAPAN 630-01923
Institute for Human-Machine Communication, TU Munich, Germany3
Department of Computer Engineering, Boğaziçi University, Istanbul, Turkey3
Center for Bionics, Korea Institute of Science and Technology, South Korea Department of Electronic Engineering, Inha University, South Korea3
Fac. of Comput. & Inf. Sci., Ljubljana Univ., Slovenia3
Department of Electrical and Electronic Engineering, National University of Ireland, Galway, Ireland3
Lodz University of Technology, ul. Stefanowskiego 18/22, 90-924, Poland3
Faculty of Computing, Engineering and Sciences, Staffordshire University, Stoke-on-Trent, U.K.3
Department of Electrical Engineering, University of Washington (UW)3
Université de Technologie de Compiègne (UTC), CNRS Heudiasyc UMR 7253, Compiègne, France3
Computer Engineering Department, Prince of Songkla University, Hat Yai, Thailand3
Google, New York, NY, USA3
Visionlab, University of Antwerp3
Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015, Switzerland3
Department of Computer Engineering, Maharashtra Institute of Technology, Pune3
Department of Artificial Intelligence Engineering, Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran3
ISSNIP, Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria - 3010, Australia3
Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil3
Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh India3
Center for Research in Intelligent Systems, University of California, Riverside Riverside, CA 92521-0425, USA3
Graduate School of Electrical Engineering, University of Ulsan, Ulsan, Korea3
Mercedes-Benz-Cars Daimler AG, Stuttgart, Germany3
CRISTAL Laboratory, GRIFT research group, National School of Computer Sciences, La Manouba University, Tunisia3
Instituto Politécnico Nacional, ESIME, Culhuacan, Mexico D.F.3
Department of Computer Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran3
Institute for Artificial Intelligence, Department for Computer Science, University of Bremen, Germany3
Edward S. Rogers Senior Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada3
University of Firenze3
Robotics Institute at Carnegie Mellon University, Pittsburgh, PA 15213, USA3
Key Lab of Advanced Design and Intelligent Computing, Ministry of Education, Dalian University, Dalian, P. R. China3
Max-Planck-Institut für Informatik, Saarbrücken, Germany3
Department of Electronics, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand3
ISR-Institute of Systems and Robotics, University of Coimbra Polo II, Coimbra, Portugal3
Air Force Research Lab, USA3
Bilgisayar Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Istanbul, Turkey3
Computer Science Department, University of Sherbrooke, Sherbrooke, Canada3
Panasonic System Networks3
Computer Vision Center and Computer Science Dpt. UAB, Bellaterra, Spain3
Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, 10520, Thailand3
University of Sao Paulo3
Institute of Mathematical and Computer Sciences, University of Sao Paulo, Sao Paulo, Brazil3
BT Convergence Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700 S. Korea3
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece3
AASS Research Center, School of Science and Technology, Örebro University, S-70182, Sweden3
Computer Graphics Laboratory, Department of Informatics and Telecommunications, University of Athens, Ilisia 15784, Greece3
Centre for Vision, Speech & Signal Process., Surrey Univ., Guildford, UK3
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283, Germany3
Dept. of Comput. Eng., Bogazici Univ., Turkey3
Gipsa-lab: CNRS; Université de Grenoble-Alpes, Saint-Martin-d'Hères, France3
School of Electronics Engineering, Kyungpook National University, 1370 Sankyuk-Dong, Puk-Gu, Taegu 702-701, Republic of Korea3
Cyber Security Cluster, Institute for Infocomm Research, Singapore3
Ghent University3
Department of Electrical and Computer Engineering, The Johns Hopkins University, Center for Language and Speech Processing, USA3
Grupo de Investigación en Desarrollos Tecnológicos (GIDET), Programa de Tecnología en Electrónica, Facultad de Ciencias Básicas y Tecnologías, Universidad del Quindío (Colombia)3
University of Missouri Columbia, USA3
School of Computer Science and Software Engineering University of Wollongong, Australia3
WILLOW Project-Team, INRIA, and Département d’Informatique, de l’Ecole Normale Supérieure, ENS/Inria/CNRS UMR 8548, Paris, France3
The Graduate Center, USA3
Phonexia, Brno-Krlovo Pole, Czech Republic3
Universidade de Pernambuco (UPE), Recife, Brazil3
Institute for Information Processing, Leibniz University Hanover, Hanover, 30167, Germany3
Instituto de Telecomunicações, Instituto Superior Técnico - Universidade de Lisboa, Lisbon, Portugal3
Dep. of Computer Science, Technical University of Munich, Boltzmannstrasse 3 85748 Garching, Germany3
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, 34342 Bebek, İstanbul, Turkey3
Institute for Infocomm Research, A∗STAR, Singapore3
Department of Electrical Engineering , University of California, Los Angeles (UCLA), Los Angeles, USA3
Dept of Computer & Information Science Indiana University-Purdue University Indianapolis, IN, United States3
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan3
Institute for Information Industry3
University of Tübingen, Tübingen, Baden-Württemberg, Germany3
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Republic of Korea3
ISPR Lab., Department of Computer Science, Faculty of Mathematics, Shahid Behshti University, Tehran, Iran3
Google Inc., Mountain View, CA, USA3
ESAT-PSI / iMinds, KU Leuven, Belgium3
Army Research Laboratory, Adelphi, Maryland, United States of America3
LEAR team, Montbonnot3
Department of Electrical, Electronics and Computer Engineering, University of Catania, Catania, Italy3
University of Texas, Arlington3
Group of Biometrics, Biosignals and Security, GB2S, Centro de Domótica Integral, Universidad Politécnica de Madrid, Campus de Montegancedo. Pozuelo de Alarcón, 28223, Madrid3
Intel Labs Pittsburgh, USA3
iHomeLab, Lucerne University of Applied Sciences and Arts, Switzerland3
School of Electrical and Electronic Engineering, Singapore3
Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway3
Computer Engineering Department, Polytechnic School, University of Alcalá, Madrid, Spain3
Mobile Robotics Lab (LabRoM), São Carlos School of Engineering (EESC), University of São Paulo, Av. Trabalhador Sancarlense 400, Brazil3
SAGE, Advanced Systems in Electrical Engineering, Tunisia3
University of Tübingen3
Intelligent Robotics and Communication Laboratories, ATR, Japan3
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France3
Department of Computer Sciences, University of Salzburg J.-Haringerstr.2, 5020 Salzburg, Austria3
Department of Clinical Psychology and Psychotherapy, University of Tübingen, Tübingen, Germany3
Center for Image and Information Processing, Xi'an University of Posts and Telecommunications and Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry ...3
Dept. of Neuroinformatics, Ilmenau Tech. Univ., Germany3
Hasso Plattner Institute for Software Systems Engineering, Potsdam, Germany3
Department of Information and Communication Engineering, INHA University, Incheon, Korea3
ATR Intelligent Robotics and Communication Labs., Kyoto, Japan3
Department of Electrical and Information Engineering, University of Gadjah Mada, Indonesia3
Norwegian University of Science and Technology, Gj⊘vik, Norway3
Medical Psychology, Department Psychosomatic Medicine and Psychotherapy, University of Ulm, Germany3
TAMS group, Dept. Informatics, University of Hamburg. Vogt-Koelln-Strasse 30, 22527, Germany3
Department of Electrical Engineering, Tokyo University of Science Chiyoda-ku 102-0073 Tokyo, Japan3
Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia3
EECE Department - Cairo University, Giza, Egypt3
Dept. of Cybernetics and Artificial Intelligence, FEI TU of Košice, Slovak Republic3
School of Computing, University of Southern Mississippi, Hattiesburg, Mississippi 394063
Department of Aerospace Engineering, Institute for Autonomous Systems Technology, University of the Bundeswehr Munich, Germany3
Multimedia Lab., Toshiba Corp., Kawasaki, Japan3
Applied Computing Department The University of Buckingham Buckingham, United Kingdom3
Curtin University Bentley, Western Australia3
Univ. Pierre & Marie Curie, ISIR - CNRS UMR 7222, F-75005, Paris - France3
Daimler Center for Automotive Information Technology Innovations (DCAITI), Berlin, Germany3
Department of CSE, RMK Engineering College, Chennai3
Centre of Artificial Intelligence, School of Software, FEIT, University of Technology, Sydney, Australia3
Graduate School of Engineering, Tokyo University of Science, 125-8585, Japan3
Columbia Univeristy, New York, NY, USA3
Elektrik ve Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, Türkiye3
University of Freiburg, Computer Science Institute, D-79110, Germany3
Heudiasyc Lab., UMR, Sorbonne universités. Université de technologie de Compièegne, CNRS, Compiègne, 7253, France3
Department of Electrical and Computer Engineering3
AKiiRA Media Systems Inc., Palo Alto, CA, USA3
Department of Electrical Engineering, Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden3
Department of Electrical Engineering, University of California, Riverside, 925213
Toyohashi University of Technology, Japan3
Otto-von-Guericke University of Magdeburg, Magdeburg, Germany3
School of Electrical and Electronic Engineering’ Yonsei University, Seoul, 03722, South Korea3
Dept. of Electronic Engineering, Daegu University, Gyeongsan-City, 38453, South Korea3
AGH University of Science and Technology Krakow, Poland3
Sorbonne Universités, Université de Technologie de Compiègne, CNRS, Heudiasyc Laboratory, France3
Kentkart İzmir, TÜRKİYE3
Los Angeles, CA3
Dept. of Computer Science, Suez Canal University, Ismailia, Egypt3
Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan City, Taiwan3
Department of Teleinformatics Engineering, Universidade Federal do Ceará, Fortaleza, CE, Brazil3
Department of Learning and Digital Technology, Fo Guang University, Yilan, Taiwan3
DIEGM - University of Udine, Via Delle Scienze, 208 - 33100 - Italy3
Department of Computer Science, Pacific Lutheran University, Tacoma, WA, USA3
TU Braunschweig, Institute of Control Engineering, Germany3
Beijing Institute of Graphic Communication, Beijing3
Electrical Engineering Department, Vision and Pattern Recognition Systems Research Group, Capital University of Science and Technology, Islamabad, Pakistan3
School of Systems Engineering, University of Reading, Reading, United Kingdom, RG6 6AY3
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA3
The University of Texas at Arlington3
Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak, Kuala Lumpur, Malaysia 531003
Computer Science Department, Texas State University, San Marcos, TX, USA3
Geospatial Laboratory, Universidad Católica del Maule, Talca, Chile3
Department of Computer Science, The State University of New York at Binghamton, Binghamton, NY, USA3
Dept. of Computer Science and Electrical Engineering, University of Missouri-Kansas City, MO, USA3
University of Burgundy, Le2i, BP 47870 21078 Dijon, France3
Department of Computer Science and Engineering, POSTECH, Korea3
CNRS, UMR 5516, Laboratoire Hubert Curien, F-42000, Saint-Étienne, France3
Department of Computer, Science Seattle University, WA, USA3
University of Buckingham, Buckingham, United Kingdom3
School of Computer Science and Technology, Hubei University of Science and Technology, P. R. China3
Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beersheba, Israel3
University of Melbourne, Australia3
LIP, UPMF, Grenoble, Cedex3
KDDI R&D Laboratories Inc., Fujimino, Saitama, Japan3
Faculty of Engineering, Department of Electrical Engineering, Aswan University, Egypt3
Institute for Human-Machine Communication, Technische Universität München3
Department of Industrial Engineering, Università degli Studi di Salerno, Italy3
MIT Lincoln Laboratory, 244 Wood Street, Lexington, MA 024203
Mitsubishi Electric Research Labs (MERL), Cambridge, Massachusetts, USA3
Faculty of Informatics, Technische Universitat München, 85748 Garching, Germany3
Pompeu Fabra University, Barcelona3
School of Computer and Communication Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland3
Data Science Department EURECOM, Biot, France3
Department of Political Science, Communication, Engineering and Information Technologies, University of Sassary, Italy3
Department of Information Engineering at the University of Padua, Italy3
Centre for Research and Technology Hellas, Thessaloniki, Greece3
Department of Computer Engineering, Sejong University, Seoul, 143-747, Korea3
Mobile Robots Research Lab., Faculty of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), 424 Hafez Avenue, Tehran 15875-4413, Iran3
Dept. of Comput. Sci., London Univ., UK3
Computer Science Department, University of Technology, Baghdad, Iraq3
GREYC Laboratory, ENSICAEN - Université de Caen Basse-Normandie - CNRS, ENSICAEN 6, boulevard maréchal Juin 14050 Caen Cedex 4 FRANCE3
School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun, CO 130012 China3
Department of Computer Science and Software Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, P.R. China3
Biometrics Res. Lab., Univ. Politecnica de Madrid, Spain3
FZI Research Center for Information Technology, Karlsruhe, Germany3
Universidade de São Paulo, São Paulo, São Paulo3
LIASD research Lab., University of Paris 8, 2 rue de la Liberté, 93526 Saint-Denis cedex, France3
Ubiquitous Computing, Lab, Kyung Hee, University, Korea3
School of Engineering and Technology, University of Hertfordshire, Hatfield, AL10 9AB, UK3
Institut Mines-Télécom/Télécom Lille, Laboratoire d'Informatique Fondamentale de Lille, Lille LIFL UMR, France3
Sfax University, Tunisia3
Dept. of Electrical & Computer Engineering, University of Auckland, Auckland, New Zealand3
Centre for Secure Information Technologies (CSIT), Queen's University Belfast, BT7 1NN, United Kingdom3
R&D Centre Algoritmi, School of Engineering, University of Minho, Portugal3
IMAGO Research Group, Universidade Federal do Paraná, Brazil3
Applied Digital Signal and Image Processing (ADSIP) Research Centre, University of Central, Lancashire, Preston PR1 2HE, United Kingdom3
Laboratoire d' Imagerie, de Vision, et d'Intelligence Artificielle, École de Technologie Superiéure ( ÉTS), University of Quebec, 1100, rue Notre-Dame Ouest, Montreal, Canada, H3C 1K33
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070 Koblenz, Germany3
Data Analytics Technology & Applications Research Institute, Institute for Information Industry3
Dept. of Computer Engineering of Keimyung University, Daegu 704701 S. Korea3
Laboratory for Intelligent and Safe Automobiles, University of California, San Diego, United States3
Department of Computer Science and Operations Research, University of Montreal, Canada3
Faculty of Electronics and Computer Sciences University of Sciences and Technology Houari Boumediene Algiers, Algeria3
Computer and Automation Research Institute, Hungarian Academy of Sciences, Hungary3
D.I.I. - University of Modena and Reggio Emilia, Italy3
Institute of Mathematics and Computer Sciences, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil3
SICISI unit, ESSTT, University of Tunis, 5 Av. Taha Hussein, I008, Tunis, Tunisia3
Department of Electrical Engineering Isfahan University Isfahan, Iran3
Digital Imaging Research Centre, Kingston University Kingston-upon-Thames KT1 2EE, UK3
LIIAN Laboratory, Department of Informatics, Faculty of Sciences Dhar-Mahraz Sidi Mohamed Ben Abdellah University P.B 1796 Atlas-Fez, Morocco3
Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil3
School of Computer Science and Communication Engineering, Guangxi University of Science and Technology, Liuzhou, 545006 China3
IRIB University, 19395-1746, Niayesh Ave., Tehran, Iran2
U2IS, ENSTA ParisTech, Université de Paris-Saclay, 828, Bd des Maréchaux, 91762 Palaiseau CEDEX - France2
Department of Electrical Engineering, Universidad de Chile, Av. Tupper 2007, Santiago, Chile2
University of Massachusetts-Amherst, Amherst, MA, USA2
Technical University of Catalonia, Barcelona, Spain.2
Department Informatik, Hamburg University of Applied Sciences, Hamburg, Germany2
Department Informatik, Hamburg University of Applied Sciences, Engineering and Computing, University of the West of Scotland2
Department of Computer Science, University of California at Irvine, Irvine, CA, USA2
Department of Computer Science, University of Indonesia, Depok 16424, Indonesia2
Dept. of Electrical Engineering, National Tsing-Hua University, Taiwan2
Foundation for Research and Technology--Hellas (FORTH), Heraklion, Greece2
Dept. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu, Taiwan2
Samsung Research America2
U. of California, Santa Barbara, USA2
Intel Corporation, Singapore, Singapore2
The University of Alberta, Canada2
Department of Electrical and Electronic Engineering, University of Ibadan, Ibadan, Nigeria2
Department of Electrical Engineering, The City College of New York, New York NY, USA2
Escuela Superior Politécnica del Litoral, ESPOL, CIDIS - FIEC, Campus Gustavo Galindo Km 30.5 Vía Perimetral, Guayaquil, Ecuador2
Department of Computer Science and Information Engineering, National Formosa University, Yunlin 632, Taiwan2
Department of Radiology; Medical Physics, University Hospital Freiburg, Freiburg, Germany2
Strategic Analytics, lastminute.com group, Chiasso, Switzerland2
University of Colombo School aof Computing, University of Colombo ∗No 35, Reid Avenue, Colombo 72
Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai-600 0362
Department of mechanical Engineering Faculty of Sciences and Technology University Sidi Mohamed Ben Abdellah Fez, Morocco2
Control Methods and Robotics Lab, Technical University of Darmstadt, Darmstadt, Germany2
Institute for Infocomm Research, 21 Heng Mui, Keng Terrace 119613 Singapore2
IIIT Guwahati2
School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia2
School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, United Kingdom2
Department of Computer Engineering, Alzahra University, Tehran, Iran2
RET, Las Vegas, Nevada2
BV-Tech Ricerca, Rovereto (Italy)2
FBK Trento (Italy)2
DISI - University of Trento, Trento (Italy)2
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia2
University of Borås, Borås, Sweden2
Osaka University Health Care Center, Japan2
Department of Computer Engineering, Siirt University, Siirt, Turkey2
School of Information Science, Computer and Electrical Engineering, Sweden2
Institut d'Électronique Fondamentale - Universite Paris Sud2
Electronics Department, University of Alcalá (UAH), Spain2
Daimler AG, R&D, Germany2
Department of Electrical Engineering, The City College of New York, 10031, USA2
Dept of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Kavala, Greece2
Mobile Robotic Laboratory, Institute of Mathematics and Computer Science, University of Sao Paulo - ICMC-USP, Sao Carlos, SP Brazil2
Department of Information Management, National Formosa University, Huwei, Yulin 632, Taiwan2
Computer Engineering Department, Cyprus International University, Lefko¿a, North Cyprus2
Electrical Engineering and Computer Science, University of California at Merced, Merced, USA2
Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea2
Department of ECE, UCEK, JNTUK, Kakinada2
CNRS UMR7222, Sorbonne Université, Institut des Systèmes Intelli-gents et de Robotique, Paris, France2
Department of Information Technology, Uppsala University, Sweden2
Yokohama Research Laboratory, Hitachi, Ltd., Yokohama, Japan2
University of Missouri Department of Electrical and Computer Engineering Columbia, MO, USA2
Cranfield University, Shrivenham SN6 8LA, United Kingdom2
Dept. of Mathematics and Scientific Computing, IIT Kanpur, Uttar Pradesh, India-2080162
Department of Computer Science and Engineering, University of Califonia, San Diego2
Dept. of Computer Science and Engineering, University of Rajshahi, Rajshahi, Bangladesh2
Computer System Department, Belarusian State University of Informatics and Radioelecrtronics, 6 P. Brovka st, Minsk, Belarus2
Escuela Superior Politecnica del Litoral, Guayaquil, Ecuador2
Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador2
Institute of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Pakistan2
Service Systems Technology Center, Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan 31040, R.O.C2
Boǧaziçi University, Istanbul, Turkey2
IDIAP Res. Inst., Martigny, Switzerland2
Dept. of Information Science, University of Fukui, 3-9-1 Bunkyo, Fukui 910-8507, Japan2
Biomedical Engineering Programme, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand2
Dept. of Computer Science, University of California, Irvine2
Technological Educational Institute of Crete (TEI), Department of Informatics Engineering, Heraklion, Crete, Greece2
Foundation for Research & Technology - Hellas, Institute of Computer Science, Heraklion, Crete, Greece2
Centre de Recherche et Développement de la Gendarmerie Nationale, (CRD-GN), Algier, Algeria2
Centre de Développement des Technologies Avancées, Division Architecture des Systèmes, Cité 20 Août 1956, BP 17, Baba Hassen, 16303, Algier, Algeria2
Grupo de Investigación en Automática, Universidad Tecnológica de Pereira2
Center of Machine/Human Intelligence, Networking and Distributed Systems (CMINDS), ECE Dept., University of Massachusetts Lowell, 01854, USA2
Computing and Information Systems, Kingston University London, UK2
Department of Electrical and Computer Engineering, University of Victoria, BC V8W3P6, Canada2
Department of Telecommunication, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan2
Univ. Bordeaux, CNRS, IMS, UMR 5218, F-33400 Talence, France2
Vision and Pattern Analysis Laboratory, Sabanci University - Faculty of Engineering and Natural Sciences, Istanbul, Turkey2
Northwestern Polytechnical University Xian, P. R. China2
Department of Biomedical Engineering, Jungwon University, Chungcheongbuk-do, Republic of Korea2
Adaptive Systems Research Group, University of Hertfordshire, College Lane, Hatfield, AL10 9AB, UK2
Elektrik-Elektronik Mühendisliği Bölümü, Işık Üniversitesi, İstanbul, TÜRKİYE2
Information Engineering and Medical Imaging Group, City University London, London, UK2
Sorbonne Universites, universite de technologie de Compiegne, CNRS, UMR 7253 Heudiasyc-CS 60 319, 60 203 Compiegne Cedex, France2
Dept. of Electrical and Computer Engineering, Western Michigan University, USA2
Centre for Unified Biometrics & Sensors, Sensors Univ., Buffalo, NY, USA2
Electrical and Electronic Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey2
Faculty of Electrical Engineering, University of Banja Luka, Bosnia, Herzegovina2
Department of Mathematics and Computer Science, Northeastern State University, OK, USA2
Department Of Artificial Intelligence, Faculty of Computer Science & Information Technology, Kuala Lumpur, Malaysia2
Comput. Vision Lab., Maryland Univ., College Park, MD, USA2
Student, IEEE2
ENST, Bretagne, GET-ENST, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
FMV IŞIK Üniversitesi, Şile, Istanbul2
Computer Vision Laboratory, GIST, South Korea2
Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology2
University of Illinois at Urbana-Champaign (UIUC)2
Florida Atlantic University, Boca Raton, FL, USA2
Department of Computer Science and Engineering of Systems, University of Zaragoza, Escuela Universitaria Politécnica de Teruel, Teruel, Spain2
POSTECH, 37673 Pohang, Korea2
LIRIS, Ecole Centrale de Lyon, Batiment E6, 15 Avenue Guy de Collongue, 69134 Ecully Cedex, France2
Università di Salerno, Fisciano (SA), Italy2
Advanced Technologies Application Center 7a #21406 b/ 214 and 216, P.C. 12200, Siboney Playa, Havana, Cuba2
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy2
German Institute of Artificial Intelligence (DFKI), Kaiserslautern, Germany2
Dept. of Computer Science and Engineering Nagoya Institute of Technology Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan2
University of Texas at El Paso, 500 W University Ave - El Paso TX 799682
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300812
Computer Science and Information Management, Asian Institute of Technology, Pathumthani, Thailand2
Yandex, Moscow2
Dept. of Comput. Sci., York Univ., UK2
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Box 451, Thessaloniki 54006, Greece2
Tencent Inc2
INRIA Sophia Antipolis, STARS group 2004 route des Lucioles - BP93 06902 Sophia Antipolis Cedex - France2
Department of Mechanical Engineering, University at Buffalo, SUNY Buffalo NY 14260 USA2
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia2
Adobe Research, San Jose, USA2
Dipartimento di Ingegneria dell'Informazione (DII), Università Politecnica delle Marche, Via Brecce Bianche, Ancona, Italy2
Telecom Lille 1, LIFL, Lille, France2
Department of Electronics & Communication Engineering National Institute of Technology, Srinagar - 190006 India2
UNC-Charlotte, Charlotte, NC, USA2
Department of Computer Science and Engineering, University of Chittagong, Bangladesh2
Supelec, IETR (UMR 6164) Avenue de la Boulaie, 35511, Cesson-Sevigne2
School of Mathematics, Statistics and Computer Science University of KwaZulu-Natal Durban, South Africa2
Honda Research Institute, 375 Ravendale Dr, Suite B, Mountain View, CA, 94043, USA2
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA2
Signal Theory and Communications Department, University of Vigo, Vigo, Spain2
Elektrik ve Elektronik Mühendisli¿i Bölümü, Bo¿aziçi Üniversitesi, Turkey2
Control Methods and Robotics Lab, Technical University of Darmstadt, 64283 Darmstadt, Germany2
Gwangju Institute of Science and Technology, School of Information and Communications, Gwangju, Republic of Korea2
Security & Safety Systems Development Office, Tokyo R&D Center, Panasonic Corporation2
Department of Computing, The University of the West Indies, Mona Campus, Jamaica2
Wrocław University of Science and Technology, Wrocław, Poland2
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh2
LIMSI-CNRS, Orsay, France2
Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA, USA2
Computer Vision and Robotics Group , University of Girona, Girona, Spain2
Firmenich SA, Geneva2
MediaTek Inc., Hsinchu, Taiwan2
Centre for Vision, Speech and Signal Processing University of Surrey, Guildford, GU2 7XH, UK2
Syracuse University2
Départment d'Informatique, Université de Sherbrooke, QC, Canada J1K 2R12
Université Lyon, Villeurbanne, France2
Department of Computer Science, Southern Illinois University Carbondale, IL, USA2
Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, 028812
University of Leeds Leeds, UK2
School of Computer Sciences, Universiti Sains Malaysia, Malaysia2
School of Electrical Engineering and Computer Science at the University of Newcastle, Callaghan, NSW 2308, Australia2
ISR - Instituto Superior Técnico, Lisboa, Portugal2
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia2
University College London (UCL), Electronic and Electrical Engineering Department, London, U.K.2
Ecole Centrale de Lyon, LIRIS UMR5205, F-69134, France2
2004 Route des Lucioles -BP93 Sophia Antipolis Cedex, 06902, France2
CASIS at Clemson University, Clemson, SC 29634, USA2
Dep. of Computer Science - University of Milan Via Comelico 39, I-20135 Milan - Italy2
Artificial Intelligence Group, University of Bremen, Am Fallturm 1, 28359, Germany2
Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation2
Computer Science Division, EECS, University of California at Berkeley, USA2
School of Computer Engineering, Shahrood University of Technology, Iran2
University of Cordoba2
Department of Computer Science, IT: Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal2
Dept. of Electrical and Computer Engineering, NYU Tandon School of Engineering, New York, USA2
GREYC Laboratory, ENSICAEN - University of CAEN - CNRS, 6 Boulevard Maréchal Juin, 14000 CAEN, France2
GRIMAAG, University of the Antilles and Guyane, Pointe-à-Pitre , France2
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia2
Institute of Real-Time Learning Systems, University Siegen, Hoelderlinstrasse 3, 57076, Germany2
Artificial Intelligence Group, University Bremen, Am Fallturm 1, 28359, Germany2
Institut Eurécom, Multimedia Communications Department, BP 193, 06904 Sophia Antipolis Cedex, France2
Department of Electronics and communication Engineering, Sathyabama University, Chennai2
Research department, Herta Security, Barcelona, Spain2
University of Wisconsin, Madison, Wisconsin2
Pontifícia Universidade Católica do Rio Grande do Sul Av. Ipiranga, Porto Alegre, RS, 6681, Brazil2
Information Security Group, School of Engineering and Mathematical Sciences, City University London, EC1V 0HB London, U.K2
Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA2
Bosch Center for Artificial Intelligence, Renningen, Germany2
Dept. of Information Engineering, University of Firenze - Italy2
Department of Computer Science and Engineering University of North Texas Denton, TX 762012
Automated Driving Team, Robert Bosch LLC, Palo Alto, CA 943042
Department of Electrical Engineering Jorhat Engineering College Jorhat, Assam2
Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany2
Tatung University, Taipei City, Taiwan Roc2
Institute of Communications and Navigation, German Aerospace Center (DLR), Oberpfaffenhofen, Germany2
EAVISE, KU Leuven Department of Industrial Engineering Sciences, Germany2
Brigham Young University, Provo, USA2
Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244, USA2
CRISTAL laboratory, GRIFT research group National School of Computer Sciences (NSCS) La Manouba 2010, Tunisia2
Mechanical and Electrical Engineering, Polish Naval Academy, Gdynia, Smidowicza 69, Poland2
University of California Santa Cruz, Santa Cruz2
Department of Electrical Engineering, University of California Riverside, Riverside, CA2
Department of Mathematics and Computer Science, Univeristy of Udine, Udine, Italy2
Video Processing Laboratory, Department of Electrical Engineering, Yazd University, Yazd, Iran2
Dr. G. Y. P. College, MGM, Aurangabad2
Maharashtra University of Health Sciences, Nashik2
Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA2
DIIn, University of Salerno, via Ponte don Melillo, Fisciano - Italy2
Masaryk University, Brno, Czech Rep2
Charles University, Prague, Czech Rep2
Department of Management and Production Engineering, Politecnico di Torino, Torino, Italy2
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada2
Dept. of Infrastructure Engineering, The University of Melbourne, Parkville 3010, Australia2
Biomedical Engineering and Medical Physics Shahid Beheshti University, Tehran, Iran2
Center for Research in Intelligent Systems, University of California Riverside, Riverside, CA, 92521, USA2
French Aerospace Lab, ONERA - 91123 Palaiseau, France2
Sorbonne University, UPMC University, Paris 06, UMR 7606, LIP6 - 75005, France2
Computer Science Department Université de Moncton Moncton NB Canada E1A 3A92
USP - University of Sáo Paulo / ICM CLRM - Mobile Robots Lab2
CycloMedia BV, P.O. Box 68, 4180 BB, Eindhoven, NL2
School of Information Science, Japan Advanced Instititue of Science and Technology, Ishikawa, Japan2
Dept. of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan2
Department of Electrical and Computer Engineering, The University of Auckland, New Zealand2
ENSTA ParisTech, UIIS division, 858 Blvd des Maréchaux, 91762 Palaiseau, France2
Department of Information Engineering, Università degli Studi di Firenze, Via di S. Marta, Firenze, Italy2
Dept. of Electr. Eng., Univ. de Chile, Santiago, Chile2
Deparment of Computer Science, Centro de Investigación en Matemáticas, 36240 Guanajuato, México2
Snap Research, Venice, CA, United States2
Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, 100081, P.R. China2
Department of Computer Science TU Darmstadt, Germany2
MPI Informatics Saarbrücken, Germany2
Department of Electronics at the University of Alcalá (Madrid, Spain)2
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, Korea2
Universidad Catolica de Chile2
Microsoft Advanced Technology Center, Beijing2
Media Computing Group, Microsoft Research Asia, Beijing2
Department of Theoretical Neuroscience, Frankfurt Institute for Advanced Studies, Goethe University Frankfurt, Ruth-Moufang-Str. 1, 60438, Germany2
Electrical Engineering & Computer Science, University of California at Merced, USA2
Electrical Engineering Department, the University of Ulsan, Ulsan, Korea2
Department of Electronic and Computer Science Engineering, Pusan National University, Busan, Republic of Korea2
Capital University of Economics and Business, Beijing, P.R. China2
Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA2
Department of Computer Science, Federal University of Bahia, Salvador, Bahia, Brazil2
Denso IT Laboratory, Inc., Tokyo, Japan2
School of Science, Information Technology and Engineering, University of Ballarat, Australia2
School of Electrical Engineering, National University of Computer and Emerging Sciences, Peshawar, Pakistan2
Center for Automation Research, College of Computer Studies, De La Salle University Manila City, Philippines2
Institute of Information Systems, University of Applied Sciences Western Switzerland, Sierre, 3960 Switzerland2
Brazilian Navy, Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil2
École Centrale de Lille, CRIStAL, UMR CNRS 91892
Univ. Bordeaux, LaBRI Talence, France2
Department of Electronics Engineering, Konkuk University, Seoul, South Korea2
Shree Vaishnav Institute of Technology and Science, Indore (M.P) India2
Division of Nano & Information Technology, KIST School, Korea University of Science and Technology, Seoul, 02792, Korea2
Bilişim Enstitüsü, İTÜ, Turkey2
Departamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Elektrik-Elektronik Mühendisliği Bölümü, Anadolu Üniversitesi, Eskişehir, Türkiye2
School of Computing, Mathematics and Digital Technology2
Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA 021392
LICÉF research center, TÉLUQ University, Montreal (QC), Canada2
Elektrik ve Elektronik Mühendisliği Bölümü, Bahçeşehir Üniversitesi, Turkey2
Sunway University: Department of Computer Science and Networked Systems, Petaling Jaya, Malaysia2
MTA SZTAKI Institute for Computer Science and Control2
Faculty of Engineering and Information Technology, University of Technology, Sydney(UTS) Taibah University2
Lawrence Livermore National Laboratory, Computational Engineering Division, Livermore, CA USA2
General Motors Company2
Flanders Make, Oude Diestersebaan 133, 3920 Lommel, Belgium2
Department of Mathematics and Computer Science, University of Cagliari, Italy2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Broadway, Australia2
University of Montreal Montréal QC, Canada2
National Aviation University, Kyiv, Ukraine2
Electric-Electronic Department, Ho Chi Minh University of Technology, Ho Chi Minh City, Vietnam2
Kogakuin Univ., Tokyo, Japan2
Graduate School of Science and Engineering, Teikyo University2
London Health Sciences Centre, London, ON, Canada2
Siemens Corporate Technology, Imaging and Visualization Munich, Germany2
Chair of Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Erlangen, Germany2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Ettlingen, Germany2
Instituto de Investigación en Ingeniería de Aragón (I3A), Universidad de Zaragoza, Spain2
Konkuk University, Seoul, Korea2
Department of General Surgery, Carolinas Medical Center, United States of America2
IUT d'Orsay, Université de Paris-Sud, Plateau de Moulon, 91400, France2
RWTH Aachen , Aachen, Germany2
Centro Federal de Educação Tecnológica Celso Suckow da Fonseca, CEP, 26041-271, Brazil2
Université de Lyon, UJM-Saint-Étienne, CNRS, UMR5516, Laboratoire Hubert Curien, F-42023 Saint-Étienne, France2
Institute of Informatics, UFRGS, Porto Alegre, Brazil2
GIT Vision Lab, Bilgisayar Mühendisliği Bölümü, Gebze Yüksek Teknoloji Enstitüsü, Kocaeli, 41400, Türkiye2
Department of Computer Science & Engineering, POSTECH, Pohang, Sourth Korea, 376732
University of British Columbia Department of Electrical and Computer Engineering2
Chalmers University of Technology, Goteborg, Sweden2
Dept. of Mech. & Ind. Eng., Toronto Univ., Canada2
CSR Research Unit of EμE Laboratory, National School of Engineering, Ibn Eljazzar 5019, Monastir, Tunisia2
Departamento de Armas, Diretoria de Sistemas de Armas da Marinha, Rio de Janeiro, Brazil2
Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh2
Eindhoven Univ. of Technol., Netherlands2
Department of Information Technology and Electrical Engineering, ETH Zurich, Switzerland2
TZI Center for Computing and Communication Technologies, University Bremen, Am Fallturm 1, 28359 Bremen, Germany2
Elektrik Elektronik Mühendisligi Bölümü Boğaziçi Üniversitesi, 34342, Bebek, Istanbul, Türkiye2
Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic2
Majority Report, France2
Computer Vision Lab, University of Central Florida. Orlando, USA2
Multimedia Lab. Ortadoğu Teknik Üniversitesi, Ankara, Türkiye2
Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland2
Artificial Intelligence Research Center Korea Electronics Technology Institute Seongnam. Korea2
Université de Caen Basse-Normandie, UMR 6072 GREYC, F-14032, France2
Computer Science Department, University at Albany, State University of New York2
Instituto Nacional de Astrofíosica, Óptica y Electrónica (INAOE), Tonantzintla, Mexico and Université Clermont Auvergne (UCA), Institut Pascal, Clermont-Ferrand, France2
Lero - The Irish Software Research Centre, University of Limerick, Ireland2
SUNY Binghamton, Binghamton, NY, USA2
Electrical-Electronics Engineering Department, Kirikkale University, Turkey2
Dept. of Electrical Engineering and Computer Science, Syracuse University2
U.S. Army Engineer Reserch and Development Center, Information Technology Laboratory, Vicksburg, MS, United States2
Instituto de Computação, Universidade Federal do Amazonas, Manaus, Amazonas, Brasil2
WaveLab - The Multimedia Signal Processing and Security Lab, Universität Salzburg, Austria2
Department of Electronics and Information Systems, Ghent University, Ghent, East Flanders, Belgium2
INRIA Sophia Antipolis Meditérannée, Valbonne, France2
Computer Vision and Remote Sensing, Technical University, Berlin, Germany2
Faculty of Information Technology, Vietnam Maritime University, 484 Lach tray, Ngo Quyen, Hai Phong2
TAIST Tokyo Tech, ICTES Program, School of ICT, Sirindhorn International Institute of Technology, Thammasat University, Thailand2
University of Ulm, Ulm, Germany2
Department of Electronics and Communications Engineering Yildiz Technical University, Istanbul, Turkey2
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea2
Google, Seattle, USA2
IBM Research Tokyo, Tokyo Research Lab, Toyosu, Japan2
International Computer Science Institute (ICSI), Berkeley, CA, USA2
MIT, Cambridge, MA, USA2
Inria, Villers-les-Nancy, France2
UC Berkeley EECS, USA2
ETHZ, Zurich (Switzerland)2
Department of Computer Science, UNC Chapel Hill, NC, 275992
School of Mechatornic Engineering, University Malaysia Perlis (UniMAP), Malaysia2
Pontifical Catholic University of Rio Grande do Sul2
MASI Laboratory, E3S Research Center, Mohammadia School of Engineers (EMI), MOHAMMED V UNIVERSITY (UM5), Rabat, Morocco2
Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile2
University of California, Riverside, 92521, United States of America2
Automotive Technology, Technical University of Munich, Garching b. München, Germany2
BILGEM - Ulusal Elektronik ve Kriptoloji Araştırma Enstitüsü (UEKAE), TÜBITAK, Kocaeli, Türkiye2
Dept. of Inf., Piraeus Univ., Greece2
Department of Computer Eng., Faculty of Eng., Sari Islamic Azad University, Sari, Iran2
University of Victoria, Victoria, BC, Canada2
MPI Informatics, Saabrucken2
JKU, Linz, Austria2
Computer Engineering Department, İnönü University, Malatya, Turkey2
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA2
Computer and Software Engineering Department, Toros University, Mersin, Turkey2
Department of Computer Engineering, Bogaziçi University, Istanbul, Turkey2
Department of Computer Science, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland2
Computational Intelligence Lab, Institute of Informatics and Telecommunications, NCSR Demokritos, Athens, Greece2
University of Sousse, Tunisia2
Facebook Inc., Menlo Park, CA, USA2
Department of Informatics, Federal University of Paraná, Curitiba, Brazil2
Computing Department, Federal University of Ouro Preto, Ouro Preto, Brazil2
Department of Computer Science and Engineering, Toyohashi University of Technology2
BMW Group Technology Office, 2606 Bayshore Pkwy, Mountain View, CA 94043, USA2
MIRACL laboratory, ISIMS, BP. 242-3021, Sfax, Tunisia2
Academy of Broadcasting Science, Beijing, P.R. China, 1008662
Computer Science Department at California State University, Fullerton, California, US2
Department of Computer Science and Information Engineering National Taiwan Normal University2
Dept. of Comp. Sci. and Inf. Eng, Chung Hua University, Hsinchu, Taiwan2
Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-18162
School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, 689-798, Korea2
Università degli Studi di Milano, Milan, Italy2
Eskişehir Osmangazi University2
University of California: Berkeley, Berkeley, CA2
Dept. of Electron. & Inf., Toyota Technol. Inst., Nagoya, Japan2
University of Southern California-USA2
Eurecom-France2
NCSR Demokritos, Greece2
Department of Electrical and Computer Engineering, Isfahan University of Technology, 8415683111 Isfahan, Iran2
Computer Science Department Technical University of Cluj-Napoca2
Odessa National Polytechnic University Odessa, Ukraine2
EEECS/ECIT, Queen’s University Belfast, Belfast, U.K.2
Computer Science and Systems Engineering Department, University of Zaragoza, Spain2
DCC, Pontificia Universidad Católica de Chile, Santiago, Chile2
Electrical Engineering Department, University of Chile, Santiago, Chile2
SAGE, Advanced Systems in Electrical Engineering, National Engineering School of Sousse(ENISO), University of Sousse, Tunisia2
Department of Informatics, Technische Universität München, 85748 Garching bei München, Germany2
Graduate School of Engineering, Nagasaki University, Nagasaki, Japan2
Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan2
Department of Electrical Engineering and Computer Science, University of California, Berkeley, USA2
Software Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Digital Image, Audio and Speech (DIAST) Lab, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia2
Department of Computer Science and Engineering, Frederick University, Nicosia, Cyprus2
Computer Science Department, Technical University of Cluj Napoca2
Panasonic Silicon Valley Laboratory, USA2
Computational Imaging Lab, Department of Technology, University Pompeu Fabra, Barcelona, Spain2
EUP Mataro, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
Department of Computer Engineering, Yazd University, Iran2
Quaid-i-Azam University, Islamabad, Pakistan2
Honda Research Institute Europe GmbH, Offenbach am Main, Germany2
Faculty of Information Technology, King Mongkut's Instituteof Technology Ladkrabang, Bangkok, Thailand, 105202
University of Brunei Darussalam, The More-Than-One Robotics Laboratory, Brunei Darussalam2
Wireless Personal Network Team, Electrics and Telecommunications Research Institute, Deajeon, South Korea2
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, MALAYSIA2
Mechatronic Engineering Department, Mevlana University, Konya, Turkey2
Bergischen Universitat Wuppertal2
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, P. R. China2
American University of Science & Technology, Department of Computer and Communications Engineering, Faculty of Engineering, Beirut, Lebanon2
Electronics and Telecommunications Research Institute (ETRI) Daejeon 305-700, Korea2
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA2
The University of Texas at Arlington, Arlington, TX, USA2
LIFL University of Lille 1, Telecom Lille 1 institut telecom, Lille, France2
Department of Computer Science, IIT Kanpur2
Department of Industrial Engineering, University of Salerno, Fisciano, Italy2
Department of Mechanical Engineering, Politecnico di Milano, Italy2
GREYC, CNRS UMR 6072, Université de Caen, France2
IIT Indore-452020 India2
Sri Sathya Sai Institute of Higher Learning, Prasanthinilayam, AP, India. 5151342
Seminar for Applied Mathematics, ETH, Zürich, Zürich, Switzerland2
Dept of IT, Bannari Amman Institute of Technology, Sathyamangalam2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, UMR5205, Lyon, 69134, France2
Department of Informatics, Federal University of Paraná, Curitiba, PR, 81531-990, Brazil2
University of Central Lancashire, Preston, United Kingdom2
Linkoping University, Sweden2
IKERBASQUE, Basque Foundation for Science, Bilbao, Spain2
Instrument Technology Research Center, National Applied Research Laboratories, Taiwan, Republic of China2
POSTECH, Department of Electrical Engineering, Pohang, Korea2
Dept. SAMBA, orwegian Computing Center, P.O. Box 114 Blindern, NO-0314, OSLO, Norway2
Chiba University, Japan2
Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca' Foscari Venezia - Italy2
Institute for Computer Graphics and Vision, Graz University of Technology - Austria2
Digital Imaging & Mobile Devices Department Omron Cooperation, Kusatsu, Japan2
Cybernetics Faculty, Military University of Technology, S. Kaliskiego 2, 00-908 Warsaw, Poland2
Institute of Computer Science, University of Göttingen, Germany2
Computer Science dept. Technion, Haifa 32000, Israel2
Institut für Informationsverarbeitung, Leibniz Universität Hannover, Hannover, Germany2
The Graduate School of Information, Production and Systems, Kitakyushu, Japan2
Joanneum Research Steyrergasse, Graz, Austria2
DIIn, Department of Industrial Engineering, University of Salerno, Fisciano (SA), Italy2
Dept. of Mech. & Ind. Eng., Toronto Univ., Ont., Canada2
University of Hawaii at Hilo, HI, USA2
Group of Biometrics, Biosignals and Security, Research Centre for Smart Buildings and Energy Efficiency (CeDInt), Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain2
Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada2
Department of Electronics, University of Batna, Batna, Algeria2
Department of Information Science, College of Applied Computer Science, King Saud University (Almuzahmiyah Branch), Riyadh, Saudi Arabia2
Università degli Studi di Salerno, via Ponte don Melillo, 84084, Fisciano, Italy2
Information Technology Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States2
NUS, Singapore, Singapore2
Medicis team. INSERM U1099, Université de Rennes 1 LTSI, Rennes, France2
Department of Biology, University of North Dakota, Grand Forks, North Dakota 582022
Department of Computer Science, University of North Dakota, Grand Forks, North Dakota 582022
Institute of Telecommunications, Slovak University of Technology, Bratislava, Slovakia2
Visual Computing Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore2
Department of Electrical and Computer Engineering, Virginia Tech., Blacksburg, VA2
Department of Computer Science, University of Jaffna, Sri Lanka2
GIPSA Laboratory, Image and Signal Department, Grenoble Institute of Technology, Grenoble, France2
National Engineering School of Sousse, UR: SAGE-ENISo, University of Sousse, Tunisia2
School of Electronics and Computer Science University of Southampton, Southampton SOl7 1BJ UK2
Scripps Institution of Oceanography}, University of California, San Diego2
Department of Computer Science and Engineering2
Computer Vision Center, Barcelona, Spain2
Department of Computer Science and Engineering, POSTECH, Pohang 790-784, Republic of Korea2
Department of Computer Science at Rutgers University, NJ, USA2
Department of Applied Geomatics, Ching Yun University, Taoyuan, Taiwan2
Competence Center Identification and Biometrics, Fraunhofer Institute for Computer Graphics Research IGD, Fraunhoferstraße 5, 64283 Darmstadt, Germany2
Technische Universität Wien, Austria2
IMIS, Athena R.C., Greece2
Intelligent Systems Laboratory, SECOM, Tokyo, Japan2
Department of Biomedical Engineering, Faculty of Engineering, Srinakharinwijot University, Nakhonnayok, Thailand2
Active Vision Group, Institute for Computational Visualistics, University of Koblenz-Landau, 56070, Germany2
Department of Technology, Pompeu Fabra University, Passeig de Circumvallació 8, (08031) Barcelona, Spain2
Department of Electronic Systems, Vilnius Gediminas Technical University, Vilnius, LT-03227, Lithuania2
Department of Informatics & Telecommunications - National & Kapodistrian University of Athens, Greece2
Dept. of Comput. Syst., Univ. of Technol., Sydney, NSW, Australia2
CS Dept., UFMG & Kunumi, Brazil2
Faculty of Science and Technology, University of Souk Ahras, Algeria2
Department of Computer Science, University of Bejaia, Algeria2
Inst. of Digital Commun., Edinburgh Univ., UK2
Laval University, Quebec City, Canada2
University of California, Berkeley, EECS Department2
Comput. Vision Lab, Central Florida Univ., Orlando, FL, USA2
GREYC-CNRS (UMR 6072), University of Caen Lower Normandy, France2
Department of Computer Science and Numerical Analysis, University of Córdoba, Spain2
Leibniz Universität Hannover, Hannover, Germany2
Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK2
University of Ulsan, Graduate School of Electrical Engineering, Korea2
Le2i UMR 6306, CNRS, University of Burgundy, France2
Department of Computer and Operations Research, University of Montreal, Montreal, Canada2
Inf. Syst. Dept., Buckingham Univ., UK2
TUBITAK BILGEM (TUBITAK Centre of Research for Advanced Technologies of Informatics and Information Security), Turkey2
Department of Electrical Engineering, Yuan Ze University, Taoyuan, Taiwan, R.O.C.2
Department of Electrical, Computer and Software Engineering, University of Ontario, Institute of Technology, Canada2
The University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information2
Laboratory of LESIA, University of Biskra, Algeria2
University of Montreal, Department of Computer Science and Operations Research (DIRO), 2920 Chemin de la tour, QC, Canada, H3C 3J72
SITI Laboratory, National Engineering School of Tunis (ENIT), University of Tunis El Manar, Tunis, Tunisia2
Georgia Tech Research Institute, USA2
PAL Robotics, Barcelona, Catalunya, Spain2
Mitsubishi Electric Research Labs (MERL), Cambridge, MA 02139, USA2
University of California at Merced, Merced, USA2
Department of biomedical engineering, Amirkabir University of technology (Tehran Polytechnic), Tehran, Iran2
School of Engineering and Computing, University of the West of Scotland, Paisley, U.K.2
Department of Electrical Engineering, University of Texas, Arlington, TX, USA2
Faculty of Information Technology, University of Science - VNUHCM, Ho Chi Minh city, Vietnam2
LEAD Graduate School and Research Network, University of Tübingen, Tübingen, Germany2
Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey2
Department of Computer Science, College of William and Mary, Williamsburg, VA2
Indiana University of Pennsylvania, Indiana, PA2
Dept. of ECE & Digital Technology Center, Univ. of Minnesota, USA2
Anglia Ruskin IT Research Institute, Anglia Ruskin University, Chelmsford, U.K.2
Intelligent Cognitive Technology Research Department, ETRI Daejeon, Korea2
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 778432
Fraunhofer-Institute for Integrated Circuits, Erlangen, Germany2
National Institute of Informatics, Japan, Tokyo, Japan2
Faculty of Physics and Applied Informatics, University of Lodz, Pomorska str. 149/153, Lodz, Poland2
University of Huddersfield, Huddersfield, West Yorkshire, UK2
Norwegian Biometrics Laboratory, NTNU, Gj⊘vik, Norway2
Robert Bosch GmbH, Stuttgart, Germany2
Epson Research and Development, Inc., 214 Devcon Drive, San Jose, CA 951122
Centre de Visió per Computador. Universitat Autònoma de Barcelona, 08193, Spain2
Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA2
CSIRO-Data61, Canberra, Australia2
Istituto Italiano di Tecnologia (IIT) & Università di Torino, Genova, Italy2
Department of Digital Media, Catholic University of Korea, Bucheon, South Korea2
Computer Engineering Department, Galatasaray University, Istanbul, 34349, Turkey2
Bilgisayar Mühendisliği Bölümü, Bahçeşehir Üniversitesi, İstanbul, Türkiye2
Department of Computing, Informatics institute of Technology, Colombo, Sri Lanka2
Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS UMR5205, Ecully, France2
Department of Computer Science, University of Missouri-Columbia, Columbia, MO, USA2
Vellore Institute of Technology, Chennai, Tamil Nadu2
National Institute of Technology, Rourkela2
ENET'COM-SFAX, Tunisia2
Graduate School of Engineering, Department of Design and Media Technology, Iwate University, Iwate, Japan2
Department of Computer Engineering, King Mongkut's University of Technology Thonburi, 126 Pracha-uthit Rd., Bang-mod, Thung-Khru, Bangkok 10140, Thailand2
Liverpool University, UK2
Department of Electrical and Computer Engineering, University of Auckland, Auckland, New Zealand2
Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan2
Division of Advanced Information Technology & Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, 184-8588 Japan2
Department of Computer Science, Chu Hai College of Higher Education, Hong Kong2
École de technologie supérieure, Université du Québec, Montreal, Canada2
Renault S.A.S, 1av. du Golf, Guyancourt, 78288, France2
Bilgisayar Mühendisliği Bölümü, İstanbul Teknik Üniversitési2
Electrical Engineering Department, Sahand University of Technology, Tabriz, Iran2
Department of Computer Science, George Mason Univerisity, Fairfax, VA 22030, USA2
MRT/KIT Karlsruhe, Germany2
Social Robotics Lab, Dept. of Computer Science, University of Freiburg, Germany2
ETH Zurich2
Anadolu Üniversitesi Elek. Elektronik, Mühendisliği Bölümü Eskişehir, Türkiye2
Bilgisayar Mühendisliği Bölümü, Deniz Harp Okulu, İstanbul, Türkiye2
Department of Electrical Engineering and Computer Science, University of California, Merced, CA, USA2
School of Engineering Newcastle University, ISC Research Group, UK2
SUPELEC/IETR, Team SCEE, France2
BioCom - Bioinspired Computing Laboratory, Department of Computer Science, University of Sao Paulo, Brazil2
Center of assistive Research Technologies (CART), Engr. College, WSU, Dayton, OH2
School of Electrical and Electronic Engineering Nanyang Technological University, Singapore Block S2.1, 50 Nanyang Avenue, Singapore 6397982
DIIn, University of Salerno, via Giovanni Paolo II, 132, Fisciano - Italy2
Department of Mechanical Engineering, Politecnico di Milano, via La Masa, 1, Italy2
DIEI, University of Cassino and of Southern Lazio, (FR) - Italy2
Enformatik Enstitüsü, Orta Doğu Teknik Üniversitesi, 06800, Ankara, Türkiye2
Department of Electronic Engineering, Kwangwoon University, Seoul, Republic of Korea2
Department of Computer and Information Sciences, Northumbria Univeristy, Newcastle upon Tyne, UK2
Academia Sinica, Taipei, Taiwan and National Taiwan University, Taipei, Taiwan2
Sch. of Electron. & Comput. Sci., Southampton Univ., UK2
Università degli Studi di Verona, Verona, Italy2
State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science, UK2
UMR CNRS - Univ. Bourgogne, Dijon, France2
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pom-peu Fabra - UPF, Roc Boronat, 138 - 08018 - Barcelona, Spain2
DISI University of Trento, Povo - Italy2
Computer Sciences at The University of Texas at Austin, 78712, USA2
Institute of Automatic Control, Silesian University of Technology, Akademicka 2A, Gliwice, Poland2
Electrical & Electronic Engineering Department, Mevlana University Konya, Turkey2
Dept. of Electronics and Multimedia Telecommunications, Technical University of Kosice, Kosice, Slovakia2
Discipline of Computer Science & Engineering, Indian Institute of Technology Indore, Indore-452020 India2
Department of Computer Science, University of Mauritius, Reduit, Mauritius2
Dept. of Imaging Sci. & Biomed. Eng., Manchester Univ., UK2
Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH, USA2
Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand 105202
School of Electrical Engineering and Informatics, Department of Computer Science, Bandung Institute of Technology, Bandung, Indonesia2
Biometric and Imaging Processing Laboratory (BIPLab)2
Research and Academic Computer Network (NASK)2
Toyota InfoTechnology Center, U.S.A., Inc.2
Carmine Senatore Exponent, Inc.2
The University of Minnesota, Minneapolis, MN, USA2
Facebook AI Research (FAIR), Menlo Park, USA2
The University of the West Indies, Mona Campus, Kingston 7, Jamaica, W.I.2
Department of Applied Mathematics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Türkiye2
TTI-Chicago, USA2
Department of Computer Science and Information Engineering, National Dong Hwa University, Taiwan2
Dept. of Computer Science University of Illinois Urbana-Champaign (UIUC)2
ETH Zurich, Zurich2
Ind. Technol., Purdue Univ., West Lafayette, IN, USA2
Department of Electrical Engineering, National Chung-Hsing University, Taichung, 402, Taiwan, R.O.C.2
Department of Geography, George Washington University, USA2
Malviya National Institute of Technology Jaipur, India-3020172
Institute of Telecommunications, Slovak University of Technology Bratislava, Slovakia2
Elektrik ve Elektronik Mühendisliği Bölümü, Makine ile Öğrenme ve Bilgisayarlı Görü Laboratuvarı, Eskişehir Osmangazi Üniversitesi2
Digital Media Lab, Department of Applied Physics and Electronics, Umeå University, 901-87, Sweden2
Faculty of Engineering & IT University of Technology, Sydney, Australia2
Elektronik ve Haberleşme Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, Turkey2
Microsoft Research Asia2
Institute of Electronics and Computer Science, Riga, Latvia2
Department of Perception Engineering, University of Tuebingen, Germany2
Human-Machines Interaction (HMI) Laboratory, Department of Industrial Informatics, TEI of Kavala, Kavala, Greece2
Labged Laboratory, Computer Science Department, Badji Mokhtar Annaba University, Algeria2
Department of Computer Science, Universidade Federal de Minas Gerais – UFMG 31270-010, Belo Horizonte, MG – Brazil2
Electrical Engineering Department, University of São Paulo, São Carlos, Brazil2
Technical University of Sofia, 8 Kl. Ohridski blvd., Sofia 1000, Bulgaria2
University of Benghazi, Faculty of Information Technology(IT), Libya2
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Università degli Studi di Milano–Bicocca, Milano, Italy2
EUP Mataró, Avda. Puig i Cadafalch 101, 08303 MATARO, BARCELONA, SPAIN2
Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
LAMIA, EA 4540, University of French West Indies & Guyana2
Harbin University of Technology2
Merses, Center for Applied Research, Pforzheim University, Germany2
Dept. of Computer, Control and Mgmt. Engineering, University of Rome La Sapienza, Italy2
Department of Computational Mechanics, Faculty of Mechanical Engineering, University of Campinas. Rua Mendeleyev, 200 - CEP 13083-860 Cidade Universitária Zeferino Vaz - Campinas - SP2
UNESP - São Paulo State University, Bauru, São Paulo2
TU Dortmund, Pattern Recognition in Embedded Systems Group, Dortmund, Germany2
U.S. Army Research Laboratory, Adelphi, MD, USA2
NEC Labs America2
Department of Computer Science and Electrical Engineering, University of Michigan at Ann Arbor, Ann Arbor, MI 48109, USA2
Université de Technologie de Compiègne (UTC)2
Department of Computer Science, Texas State University, San Marcos, TX, USA2
Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA2
University of Central Florida School of Electrical Engineering and Computer Science, Orlando, FL2
University of Evry Val d’Essonne, IBISC (Informatics Integrative Biology and Complex Systems) Lab., 40 rue du Pelvoux, 91025, Evry, France2
Department of Advanced Systems Control Engineering, Saga University, Japan2
Department of Computer Engineering, Sejong University, Gwangjin-gu, Seoul, Korea2
Szczecin University of Technology, Szczecin, Poland2
Face Aging Group, Department of Computer Science, UNC Wilmington, Wilmington, USA2
Imaging Science and Engineering Lab, Tokyo Institute of Technology-Japan2
University of Colorado Boulder, Boulder, USA2
Comuter Science Department, TU-Darmstadt, Germany2
Dept. of Comput. Sci. & Eng., Inha Univ., Incheon, South Korea2
Centre for Quantum Computation and Intelligent Systems, University of Technology, Sydney, Ultimo, NSW, Australia2
Department of Communication Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, Taoyuan County 320, Taiwan +886-3-4638800 ext. 73232
UC Berkeley, USA2
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia2
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran2
Department of Electronics & Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476672
Computer Engineering Kyung Hee University Yongin-si, South Korea2
Gipsa-Lab, Saint-Martin d'Hères, France2
School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia2
Faculty of Computer Science, University of Karlsruhe (TH), 76131 Karlsruhe, Germany2
Yahoo! Labs, Haifa, Israel2
Dept. of ECE, Maryland Univ., College Park, MD, USA2
Elektrik ve Elektronik Mühendisliği Bölümü, Bogaziçi Üniversitei2
Intel Corporation, Hillsboro, OR 971242
Department of Mathematics and Computer Science, Gannan Normal University, Ganzhou, People’s Republic of China2
Institute for Infocomm Research at A*STAR, Singapore2
Indian Statistical Insitute, Kolkata 7001082
Centre for Secure Information Technologies, Queen’s University Belfast, Belfast, UK2
Computer, Electronic and Security Research Group, University of Northumbria2
Group Research, Daimler AG, Ulm, Germany2
DITEN, University of Genova, Italy2
Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam2
Department of Mechanical and Aerospace Engineering, Case Western Reserve University, Cleveland, United States2
IETR/UMR CNRS 6164, INSA, Rennes, France2
University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam2
Dept Computer Science, Dept Mathematics and Statistics, HIIT, University of Helsinki2
School of Computing, Informatics and Media, University of Bradford, Bradford, UK2
School of Electrical and Computer Engineering, Universidade Estadual de Campinas, São Paulo, Brazil 13083-8522
Vrije Universiteit Amsterdam, Amsterdam, NL2
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 235 Jones Street, Ultimo, NSW 2007, Australia2
Department of Informatics and Telecommunications, University of Athens, Athens, Greece2
St. Pölten University of Applied Sciences2
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Türkiye2
Machine Learning and Computer Vision Laboratory, Faculty of Computer Science, Universitas Indonesia, Depok, West-Java Indonesia2
Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
Department of Behavioral Science, The University of Texas MD Anderson Cancer Center, Houston, 77030, USA2
College of Information Science and Engineering Ritsumeikan University, Kusatsu, Japan2
Universidad Tecnica Federico Santa Maria, Department of Electronic Engineering, Valparaiso, Chile2
EAVISE, Technology Campus De Nayer, KU Leuven, Belgium2
School of Computer Science, Reykjavik University, Reykjavík, Iceland2
Broadcasting & Telecommunications Media Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea2
ESAT - PSI, iMinds, KU Leuven, Leuven, Belgium2
Computer Science Department, University of Mossouri, 65211, USA2
Delhi Technological University, Delhi2
Gazi Üniversitesi, Turkey2
Intelligent Fusion Technology, Inc, Germantown, MD, USA2
Philips Research, Eindhoven, The Netherlands2
Xerox Research Centre Europe, Meylan, France2
Miovision Technologies Inc., Kitchener, Canada2
Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, The Netherlands2
Centre de Développement des Technologies Avancées, Algeria2
Electrical Engineering Department AmirKabir University of Technology Tehran, Iran2
Department of Computer Science, The University of Liverpool, Liverpool, UK2
Center for Artificial Intelligence and RObotics (CAIRO), Aswan University, Sahari 81528, Egypt2
Department of Computer and Informatics Engineering, Eastern Macedonia and Thrace Institute of Technology, Human Machines Interaction (HMI) Laboratory, 65404 Kavala, Greece2
School of Computer Science and Engineering, The University of Aizu, Japan, Tsuruga, Ikkimachi, Aizuwakamatsu-city, Fukushima prefecture, 965-8580 Japan2
Computer Vision Laboratory, University of Sassari, Italy2
A*STAR, Singapore2
Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore2
112
102
The Australian National University RSCS, ANU, Canberra, Australia2
Sensing and Industrial Imaging, Siemens Corporate Technology, Munich, Germany2
Dept. of Electrical Engineering, LUMS, Pakistan2
Thales, Moirans, France2
Institut de Robòtica i Informàtica Industrial (CSIC-UPC)2
Başkent University, Ankara, TURKEY2
OSRAM GmbH, Germany2
Team of research SIIVA - RIADI laboratory, Institut supérieur d'informatique (ISI), Tunisia2
Distributed Events Analysis, Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary2
Friedrich Schiller University Jena, Jena, Germany2
Institute for Inforcomm Research 1 Fusionopolis Way, #21-01 Connexis, Singapore 1386322
ATR Center, Wright State University, Dayton, Ohio2
National University of San Agustin - UNSA, Arequipa - Peru2
Multimedia Signal Processing Group, EPFL, Lausanne, Switzerland2
Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, P.R. China2
Department of Electrical Engineering & Computer Science, University of Kansas, Lawrence, 66045-7621, USA2
University Sidi Mohamed Ben Abdellah, Faculty of Sciences and Technology, Laboratory of Renewable Energies and Intelligent Systems, Fez, Morocco2
University of the Bundeswehr, Munich Werner-Heisenberg-Weg, 39 85577 Neubiberg, Germany2
Johnson Controls Inc., Milwaukee, Wisconsin2
Université de Toulouse ; UTM-IUT de Figeac ; LRP-mip (Laboratoire de recherche pluridisciplinaire du nordest de Midi-Pyrénées) ; Avenue de Nayrac, F-46100, FIGEAC, France2
CRISTAL laboratory, GRIFT research group, National School of Computer Sciences (NSCS), La Manouba 2010, Tunisia2
POSTECH Pohang, Republic of Korea2
Ocular Imaging Department, Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore2
Laboratory for Sensor and Modeling, Department of Geoinformatics, University of Seoul, Seoul, Korea2
Signal Processing Lab, IEETA / DETI University of Aveiro, 3810-193 Aveiro, Portugal2
Video Surveillance Research Section, Electronics and Telecommunications Research Institute, Daejeon, Korea2
Language Technologies Institute, Carnegie Mellon University Universidade NOVA Lisboa, Pittsburgh, USA2
Department of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, Assam-7880102
Koc University, Istanbul, Turkey2
Department of Electrical Engineering, 43 Sec.4 Keelung Rd., Taipei, Taiwan2
Escola Superior de Saude de Alcoitão, Alcoitão, Portugal2
Universidade NOVA Lisboa, Caparica, Portugal2
Research&Advanced Technology Division of SAIC Motor Corporation Limited, Shanghai 201804, P.R China2
Graduate School of Electrical Engineering, University of Ulsan, 133-791, Korea2
Universidade Federal do Paraná, Curitiba, Brazil2
Dept. of Appl. Phys. & Electron., Umea Univ., Sweden2
Precise Positioning and Analytics Department, Fraunhofer Institute for Integrated Circuits IIS Nürnberg, Nürnberg, Germany2
Programming Systems Group (Informatics II), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany2
School of Computing and Communications, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Department of Computer Science and Engineering, National Taiwan Ocean University, No.2, Beining Rd., Keelung 202, Taiwan2
Department of Computer Science, St Joseph Engineering College, Vamanjoor, Mangaluru2
Pandit Dwarka Prasad Mishra and Indian Institute of Information Technology, Design & Manufacturing, Jabalpur - 482 0052
DTIS, ONERA, Université de Paris Saclay, Palaiseau, F-91123, France2
More-Than-One Robotics Laboratory, University of Brunei Darussalam, Brunei Darussalam2
Faculty of Electrical, Electronic, Computer and Control, Engineering - Computer Science, Lodz University of Technology, Lodz, Poland2
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, USA2
Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece2
Luoyang Electro-Optical Equipment Research Institute, Luoyang, People’s Republic of China2
Department of Electrical engineering, Graduate university of Advanced Technology, Kerman, Iran2
Research & Innovation Center, Ford Motor Company2
Computer Science and Engineering, Rajshahi University of Engineering and Technology2
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Gutleuthausstrasse 1, 76275 Ettlingen, Germany2
DIBRIS - Università degli Studi di Genova via Dodecaneso 35, 16146 Genova (I)2
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Japan2
Institute of Informatics, Federal University of Rio Grande do Sul, Brazil2
Department of Image Processing and Neurocomputing, University of Pannonia, H-8200 Veszprém Egyetem u. 10.2
D.Y. Patil college of engg., Akurdi, Pune2
School of Science and Engineering, Meisei University, Hodokubo, Hino-city, Tokyo, Japan2
The Department of Measurement, University of Ulm, Control and Microtechnology, Ulm, 89081, Germany2
Daimler AG, Research and Development, Ulm, 89081, Germany2
School of Engineering, Computing & Science, Swinburne University of Technology, Kuching, Malaysia2
Idiap, Switzerland2
EyeVerify, Inc., Kansas City, USA2
School of Electricity and Electron Engineering, Changchun University of Technology, Changchun China2
Image Processing and Computer Vision Group, Computer Science Department, Universidad de Buenos Aires, Argentina2
Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran2
School of Computer Science and Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu2
Faculty of Electrical Engineering, Federal University of Uberlândia, Brazil2
The University of Texas at Arlington, USA2
Instituto de Investigaciones en Ingeniería Eléctrica, Departamento de Ingeniería Eléctrica y de Computadoras, Universidad Nacional del Sur (UNS)-CONICET, Argentina2
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland2
Islamic University of Technology, Gazipur-1704, Bangladesh2
Bilgisayar Mühendisliği Bölümü, Gebze Teknik Üniversitesi, Kocaeli, Türkiye2
Department of Computer Science and Information Engineering, National Taipei University of Technology Taipei 10608, Taiwan2
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, People’s Republic of China2
Microsoft Research Ltd., Cambridge, UK2
Defence Research and Development Canada, Valcartier, Quebec2
UK Defence Science and Technology Laboratory, Porton, Salisbury, UK2
Department of Computer Science, University of Otago, Dunedin, New Zealand2
Univ. of Cambridge, Computer Laboratory2
Center for Forensics, Biometrics and Privacy, Faculty of Organization and Informatics, Varaždin, Croatia2
Electronics and Computer Science, Southampton University, UK2
Dept. of Language, Literacy, and Sociocultural Studies, University of New Mexico, United States2
image and video Processing and Communications Lab (ivpcl.unm.edu), University of New Mexico, United States2
E.T.S. Ingenieros Industriales, Universidad de Castilla-La Mancha Campus Universitario, Ciudad Real, Spain2
Metaio GmbH2
Research Center of Smart Vehicles, Toyota Technological Institute, Nagoya, Japan2
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10 Turkey2
Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand2
Dept. Electronic Engineering, Natuonal University of Ireland, Galway2
Gwangju Institute of Science and Technology, School of Electrical Engineering and Computer Science, Gwangju, Korea2
CSE Department Chandigarh University, Gharuan Mohali, Chandigarh2
University of California at Irvine, Irvine2
Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel2
Dept. of Electronic and Communication Engineering Hanyang University ERICA2
Institut TELECOM ; Telecom Lille 1, LIFL (UMR USTL/CNRS 8022), France2
The University of Toronto, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, 10 King's College Road, Canada2
TÜBİITAK-BİILGEM-UEKAE, Anibal Cad., P.K.74, 41470, Gebze-KOCAELİ, Turkey2
Computer Science Institute, Hochschule Ruhr West, Germany, Bottrop 462402
Department for Technology, Innovation and Enterprise, Singapore Polytechnic, Singapore 1396512
National Engineering Research Center for E-Learning, Central China Normal University2
Data Analytics and Computer Vision Department, PARC, a Xerox Company, Webster, NY, USA2
Department of Electrical Engineering, National Chaio Tung University, Hsinchu, Taiwan2
Department of CSE, GGITS, Jabalpur2
School of Computing, Queen's University, Kingston, Canada2
Dept. of Computer Science, University of Illinois Urbana-Champaign (UIUC), USA2
University of Vigo, Spain2
Department of Computer Science, Rhodes University, Grahamstown, South Africa2
IRISA (CNRS, Univ. Rennes 1), Campus de Beaulieu, Rennes, France2
Instituto de Ciências Exatas e Informática, Pontifícia Universidade Católica de Minas Gerais, Belo Horizonte, MG, Brazil2
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil\2
Technical University of Cluj Napoca2
School of Computer Science and Technology2
Instituto de Ciências Matemáticas e de Computação, University of São Paulo, Brazil2
Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang, Kuantan, Malaysia2
College of Informatics, Huazhong Agricultural University, Wuhan P.R. China 4300702
University of Thessaly Dept. of Computer Science and Biomedical Informatics, Papasiopoulou, Lamia, Greece2
Bilgisayar Mühendisliği, Hacettepe Üniversitesi, Ankara, Türkiye2
Bilgisayar Mühendisliği, Orta Doggu Teknik Üniversitesi, Ankara, Türkiye2
LIVIA, École de technologie supérieure, Université du Québec, Montréal, Canada2
Technical University of München, Garching, Germany2
University of Bern, Bern, Switzerland2
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, United Kingdom2
Korea Advanced Institute of Science and Technology School of Electrical Engineering2
Department of Computer Science, University of Texas, San Antonio, TX, USA2
Universidad Autónoma of Madrid (Spain)2
Intelligent Vehicle IT Research Center at Seoul National University, Seoul, South Korea2
Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA2
Department of Computer Science, Thomas J. Watson School of Engineering and Applied Science, SUNY Binghamton University, Binghamton, NY2
Department of Computer Science, CUNY Graduate Center, New York, NY2
DEIS, University of Bologna, Cesena, Italy2
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia2
Department of Political Science, Communication, Engineering and Information Technologies, Computer Vision Laboratory, Viale Mancini, 5, 07100, Sassari, Italy2
Dept. of Computer & Communication Engineering, Daegu University, Gyeongsan-City, 38453, South Korea2
Deptartment of CSIE, Chung-Hua University, Hsinchu, Taiwan2
ACL Laboratory at Sharif University of Technology2
Captial Normal University, Beijing2
Universitat de Barcelona, Spain2
Computer Vision Center (UAB), Spain2
Dept. of Comput. Sci., State Univ. of New York, Binghamton, NY, USA2
Virginia Tech, USA2
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, 33204 Gijón, Spain2
SINERCO, Rendueles Llanos 8, 33205 Gijón, Spain2
GE Healthcare, London, ON, Canada2
University of Califonia, Berkeley, Berkeley, CA, USA2
P.G Demidov Yaroslavl State University, Computer Vision Laboratory, Yaroslavl, Russian Federation2
Yahoo Labs, San Francisco, USA2
Kitware Inc., Clifton Park, NY, USA 120652
Dipartimento di Informatica, Università di Salerno, Fisciano, Italy2
Magister Teknik Informatika, Universitas Atma Jaya Yogyakarta, Sleman, Indonesia2
Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy2
TOYOTA Central Research and Development Labs, 41-1, Yokomichi, Nagakute, Aichi, Japan2
Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea, Gwangju, Korea2
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, New Zealand2
Department of Information Technology, Noorul Islam University, Kumaracoil - 629180, Kanyakumari District, Tamilnadu2
Department of Electrical Engineering, Yuan Ze University, Chung-Li, Taiwan2
Institute for Informatics and Automation Problems of NAS RA, Yerevan, Armenia2
Department of Information Engineering, Chinese University of Hong Kong, Hong Kong2
Radboud University Nijmegen, The Netherlands2
Graduate School of Engineering, Osaka University 2-1 Yamadaoka, Suita, 565-0871, Osaka, Japan2
Advanced Perception Center of Aptiv (previous Delphi Corporation), Electronics & Safety, Agoura Hills, CA, 91301, USA2
Media Analytics Dept., NEC Laboratories America, Inc., Cupertino, CA 95014, USA2
Department d'InformatiqueESST, Tunisia2
LMU Munich, Germany2
IRCV Group, Rovira i Virgili University, Reus, Spain2
Grundlagen Elektro-Technnik Laboratory, Paderborn University, Paderborn, Germany2
Google, Mountain View, USA2
Polytechnic School of Pernambuco, University of Pernambuco, Recife-PE, Brazil2
Computer Engineering Department, Vishwakarma Institute of Technology, Pune2
Knowledge e-Learning Research Group2
Institut für Informatik, Ludwig-Maximilians-Universität München, Munich, Germany2
Department of Computer Science, Aarhus University, Denmark2
Eastman Kodak Company, Rochester, USA2
Naver Labs Europe, Meylan, France2
Sapienza Università di Roma, Roma, Italy2
Computer Science Department, University of Moncton, NB, Canada, E1A 3E92
Automated Driving Department, Forschungs-gesellschaft Kraftfahrwesen mbH Aachen, Aachen, Germany2
Department of EEE, Indian Institute of Technology (IIT) Guwahati, India-7810392
Department of Biomedical Engineering, Oregon Health & Science University, Beaverton, 97006, USA2
Elektronik ve Haberleşme Mühendisliği Bölümü, NETAŞ Telekomünikasyon A.Ş, İstanbul, Türkiye2
IoT and Robotics Convergence Research Division, Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu, Republic of Korea2
Broadcasting & Telecommunications, Convergence Media Research Department, Electronics and Telecommunications Research Institute, Daejeon, Korea2
GRIFT Research Group, CRISTAL Laboratory, National School of Computer Sciences, University of Manouba, Tunisia2
Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
Department of Medical Informatics, University of Medicine and Pharmacy “Victor Babes”, Piata Eftimie Murgu, 300041 Timisoara2
University of California, Riverside Riverside, CA, 92521, USA2
Universidad Politécnica de Valencia, Instituto Tecnológico de Informática, Camino de Vera s/n, 46022 (Spain)2
University of California, Merced, CA2
University Carlos III of Madrid, Univ. Group for Identification Technologies, Avda. Universidad, 30, E-28911 - Leganes; SPAIN2
Department of Sciences and Information Technology, University of Sassari, Viale Mancini 5, 07100 Sassari, Italy2
OFFIS - Institute for Information Technology, Oldenburg, Germany2
University of Oldenburg, Oldenburg, Germany2
Dept. Matemàtica Aplicada i Anàlisi, UB, Barcelona, Spain2
Computer Vision Center, Cerdanyola del Vallès, Spain2
Department of Computer and Software Engineering, Polytechnique Montréal, Montréal, QC, Canada2
Dept. of Electronic and Computer Engineering, Brunel University London, Uxbridge, UB8 3PH, UK2
Communication Systems Group, Technische Universitat Berlin, Germany2
National Ilan University, Ilan, Taiwan Roc2
CICTE Research Center, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
Dep. DECEM, Universidad de las Fuerzas Armadas ESPE, Sangolquí, Ecuador2
CNRS-LTCI, Institut Mines-TELECOM TELECOM ParisTech, France2
Université Pierre et Marie Curie (LIP6), Paris, France2
Faculty of Engineering, Universitas Indonesia, Indonesia2
Sorbonne Universités, Paris, France2
Electronics and Telecommunications Research Institute, Youga, Dalsung, Daegu, Korea2
University of St Andrews North Haugh St Andrews KY16 9SX Fife, Scotland, United Kingdom2
Department of Electrical Engineering, Yuan-Ze Univsersity, Taiwan2
Center for Research in Intelligent Systems, University of California, Riverside, USA 925072
Information and Communication Technology, Gautam Buddha University, Greater Noida2
Université Paris-Est, LEPSIS, IFSTTAR, F-77447 Marne-la-Vallée, France2
Coursera and Stanford University2
Department of Computer Science, Gyan Ganga Institute of Technology & Sciences, Jabalpur, M.P, India - 4820012
Convergent SoC Research Center Korea Electronics Technology Institute2
Department of Mechanical Engineering and Intelligent Systems, University of Electro-Communications, Chofu, Japan2
Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000, Croatia2
Department of Computer Science and Information Engineering, National Formosa University, Taiwan, R. O. C.2
Institut für Nachrichtentechnik (INT), Universität Karlsruhe (TH), Germany2
Institute of Neural Information Processing, University of Ulm, Ulm, Germany2
COMVILAB - Computational Vision and Intelligence Laboratory, Federal University of Mato Grosso do Sul - Ponta Porã Campus, Rua Itibiré Vieira, s/n, 79907-414, Brasil2
Inst. of Comput. Sci., Univ. of Leoben, Austria2
Department of Medical Informatics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran2
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, Turkey2
Hewlett-Packard Labs, 1501 Page Mill Rd. Palo Alto, CA, USA2
GREYC Laboratory, ENSICAEN - Université de Caen - CNRS, 6 boulevard Maréchal Juin, 14000, France2
Mazda Motor Co., 2-5 Moriya-cho Kanagawa-ku, Yokohama, Kanagawa 221-0022, Japan2
National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba Ibaraki, 305-8568, Japan2
L3S Research Center, Leibniz Universität Hannover, Hannover, Germany2
Department of Computing, The University of the West Indies, Mona, Kingston 72
Higher School of Telecommunications Engineering, University of Valladolid, Valladolid, Spain2
Micron Technology Inc.2
Department of ECE, Mepco Schlenk Engineering College, Sivakasi2
Telecommunications and Informatics Gdansk University of Technology, Department of Computer Architecture Faculty of Electronics, Gdansk, Poland2
Department of Computer Science and Engineering at the Toyohashi University of Technology, Japan2
Sigmedia Group, Department of Electronic and Electrical Engineering, Trinity College Dublin, Ireland2
School of Electronic Engineering and Computer Science Queen Mary University of London2
Fraunhofer IAIS, Sankt Augustin, Germany2
University of California at Los Angeles, Los Angeles, CA, USA2
TSC Department, University of Vigo, Spain2
Gradiant (Galician Research and Development Center in Advanced Telecommunications), Spain2
Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan2
Yahoo Labs, San Francisco, CA, USA2
Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia2
Department of Electrical and Electronics Engineering, Eski¿ehir Osmangazi University, Me¿lik Campus, 26480, Turkey2
School of Engineering and Computer Science, Independent University, Bangladesh2
KU Leuven ESAT-PSI, iMinds2
Institut TELECOM; TELECOM Lille 1, France2
University of Ulsan, Graduate School of Electrical Engineering, Ulsan, 44610, Korea2
USC Institute for Creative Technologies2
Graduate School of Information Science, Kyoto Institute of Technology, Kyoto, Japan2
Intelligent Biometric Group, School of Electrical and Electronics Engineering, Universiti Sains Malaysia, Engineering Campus, 14300 Nibong Tebal, Malaysia2
Université de La Rochelle, France2
Kyungpook National University, Buk-go, Daegu, Republic of Korea2
INRIA Sophia Antipolis Méditerranée, Sophia Antipolis, France2
Department of Mathematics and Computer Science, University of Catania, Italy2
CPE Lyon School, Electronics - Telecomunications - Computer Science and the CITI laboratory, Domaine scientifique de la Doua, 69100 Villeurbanne, France2
PI:MIS Laboratory, University of 8 Mai 1945 Guelma, Algeria2
Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Heidelberg, Germany2
Mount Sinai Hospital, Toronto, Canada2
University of Valencia2
Ghent University - imec - MICT, Korte Meer, Ghent2
Computer Science Department, Technion Israel Institute of Technology, Haifa, Israel2
Augsburg University, Augbsurg, Germany2
Baskin School of Engineering, University of California Santa Cruz, 1156 High St, Santa Cruz, CA 95064 USA2
Shahid Bahonar University of Kerman Computer Engineering Department, Kerman, Iran2
Nankai University2
The Graduate University for Advanced Studies (Sokendai), Tokyo, Japan2
Utrecht University, CC Utrecht, The Netherlands2
Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Dept. of Comput. Sci., Western Cape Univ., South Africa2
Department of Electronics and Computer Engineering, Chonnam National University, Gwangju, Korea Rep.2
Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran2
Department of Computer and Information Sciences University of Delaware, Newark, DE, U.S.A.2
Department of Electronic Engineering, Sogang University, Seoul, Republic of Korea2
University of Windsor Department of Electrical and Computer Engineering Windsor, Canada2
Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo 101-8430, Japan2
Department of Computing and Numerical Analysis, Maimonides Institute for Biomedical Research (IMIBIC), University of Córdoba, Córdoba, Spain2
Institute of Computing - University of Campinas, SP, Brazil, 13083-8522
School of Computer Science, Kyungpook National University, Buk-gu, Daegu, The Republic of Korea2
Laboratory LAROSERI, Department of Computer Science, Faculty of Sciences, University of Chouaib Doukkali, El Jadida - Morocco2
RITS Team, INRIA Paris, 2 Rue Simone IFF, 75012 Paris, France2
Université Pierre et Marie Curie, Paris, France2
HERE Technologies, Chicago, Illinois, 60606, USA2
Data Science Research Laboratories, NEC Corporation. Kawasaki, Japan2
TNO, The Hague, The Netherlands2
Department of Electrical Engineering, Computer Vision Laboratory, Linköping University, Linköping, Sweden2
Multimedia Signal Analysis Lab at Electronics & Comms, Eng. Dpt., Electrical & Electronics Faculty, Yildiz, Technical University, Istanbul, Turkey2
University Moulay Ismail, Meknes, Morocco2
Multimedia Computing Lab, University of Augsburg, Germany2
LGS, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco2
Amsterdam University College, Amsterdam, The Netherlands2
INRIA Rhone-Alps, Montbonnot, France2
Department of Data Analysis and Mathematical Modeling, Ghent University, Ghent, Belgium2
IBM T. J. Watson Research, Center, New York, USA2
Group Research of Daimler AG in Ulm, Germany2
Laboratoire d’imagerie de vision et d’intelligence artificielle, École de technologie supérieure, Université du Québec, Montreal, Canada2
Mireo d.d., Buzinski prilaz 32, HR-10000 Zagreb, Croatia2
LMU Munich, Munich, Germany2
São Carlos School of Engineering, University of São Paulo, Avenida Trabalhador São-carlense, 400, São Carlos, Brazil2
Labo Handibio, University of Toulon-Var, France2
CERTH/ITI, Thessaloniki, Greece2
Department of Computer Engineering, Sejong University, Seoul, Korea2
Max-Planck-Institute for Informatics, Saarbrücken, Germany2
Electrical and Electronics Engineering, TOBB University of Economics and Technology, Ankara, Turkey2
Department of Electrical, Computer and IT Engineering, Qazvin Azad University, Qazvin, Iran1
Department of Electronic Engineering, Chinese University of Hong Kong, Shatin, Hong Kong1
Toyota InfoTechnology Center, Mountain View, CA 94943 USA1
Nokia Corporation, San Francisco, CA, USA1
Department of Mathematics, University of Punjab, Lahore, Pakistan1
School of Systems and Technology, University of Management and Technology, Lahore, Pakistan1
Yazd University, Yazd, Iran1
Core Technology Center Omron Corporation Kyoto, Japan1
Strategy Advisory, SAP Deutschland AG & Co. KG, Walldorf, Germany1
Empolis Information Management GmbH, Kaiserslautern, Germany1
Fraunhofer Heinrich-Hertz-Institut, Berlin, Germany1
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH, Saarbrücken, Germany1
Instituto de Investigacion para la Gestion Integrada de Zonas Costeras, Universitat Politecnica de Valencia, València, Spain1
University of Seville , Sevilla, Spain1
Bilgisayar Mühendisliği Bölümü, ITÜ1
Bili§im Enstitüsü, İTÜ1
Department of electrical and electronic engineering, University Putra Malaysia, 43400 UPM Serdang Selangor Darul Ehsan, Malaysia1
Distributed Artificial Intelligence Laboratory, Technische Universität Berlin, Berlin, Germany1
Omron corporation1
Dept. de Ciência da Computacão, Universidade Federal de Ouro Preto, MG Brazil1
II-LIDI, UNLP, La Plata, Argentina1
DISCo (Dipartimento di Informatica, Sistemistica e Comunicazione), Universitá degli Studi di Milano-Bicocca, Via Bicocca degli Arcimboldi 8, 20126 Milano, Italy. schettini@disco.unimib.it1
Digital Image Group (DIG), London, Canada1
Department of Medical Imaging, Western University, London, Canada1
Technical University of Catalonia, Barcelona, Spain. veronica@gps.tsc.upc.es1
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ShanghaiTech University1
Innovations Kontakt Stelle (IKS) Hamburg, Hamburg University of Applied Sciences1
School of Engineering and Computing, University of the West of Scotland1
Computer Science Department, Central Washington University (CWU)1
ICT Center, CSIRO1
Department of Electrical and Computer Engineering, Khalifa University of Science, Technology and Research, Abu Dhabi, United Arab Emirates1
Fac. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands1
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Technische Universität München, München, Germany1
AT&T Labs Research, Middletown, NJ, USA1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, People’s Republic of China1
Department of Electronic Engineering National Kaohsiung, University of Applied Sciences, Kaohsiung 807, Taiwan1
Department of Electronic Engineering Shanghai Jiao Tong University1
Bilgisayar Mühendisliği Bölümü, İhsan Doğramacı Bilkent Üniversitesi, Ankara, Türkiye1
Faculty of Sciences, Department of Mathematics and Informatics, University of Novi Sad, Novi Sad, Serbia1
Technical Faculty “Mihajlo Pupin”, University of Novi Sad, Zrenjanin, Serbia1
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan1
5th Engineering Bldg., Room 619, Shizuoka University, Naka-ku, Hamamatsu, Japan1
U. of Illinois at Urbana-Champaign, USA1
Department of Mechanical and Aerospace Engineering, University of California, Davis, CA, 956161
Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics, Guilin University of Electronic Technology, Guilin, People’s Republic of China1
School of Mathematics, Liaoning Normal University, Dalian, People’s Republic of China1
ODTÜ Görüntü Analizi Uygulama ve Araştırma Merkezi (OGAM), Ankara, Türkiye1
Akıllı Veri Analitiği Araştırma Program Müdürlüğü, Aselsan Araştırma Merkezi, Ankara, Türkiye1
Media Systems and Technologies Department, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine1
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Bilgisayar Mühendisliği, Fırat Üniversitesi, Elazığ, Türkiye1
Bilgisayar Mühendisliği, Dicle Üniversitesi, Diyarbakır, Türkiye1
Department of Computer Science and Engineering, University at Buffalo-State University of New York, Buffalo, NY, USA1
Institute for Infocomm Research (IR) Singapore 1386321
Pattern Recognition Lab, Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan1
INRIA / Ecole Normale Supérieure, France1
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran1
Precision Silver LLC, Gainesville, FL1
Technological Educational Institute of Sterea Ellada, Psahna, Halkida, Greece1
National Centre for Scientific Research “Demokritos”, Agia Paraskevi, Athens, Greece1
Centre of Research and Technology Hellas, Thermi, Thessaloniki, Greece1
Centre for Quantum Computation and Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, Ultimo, NSW, Australia1
Computer Science Department, Centro de Innovación para la Sociedad de la Información, University of Las Palmas de Gran Canaria, Las Palmas, Spain1
Google Inc., Singapore1
German Aerospace Center, Institute of Robotics and Mechatronics, Wessling, Germany1
Department of Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia1
School of Engineering, University of California at Merced, Merced, USA1
Vision and Pattern Recognition Systems (VisPRS) Research Group Center for Advanced Studies in Engineering, Islamabad, Pakistan1
IUSIANI, Univ. de Las Palmas, Spain1
Agency for Science and Technology Research, Bioinformatics Institute, Singapore1
Department of Electrical Engineering, University of Biskra, Biskra, Algeria1
Inst. for Infocomm Res., Singapore1
Institute for Infocomm Research, Connexis South, Singapore1
Marc Holzapfel is with Dr. Ing. hc. F. Porsche AG, 71287 Weissach, Germany1
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Polytechnic University of Catalonia, Vilanova i la Geltrú, Spain1
Graduate School of Information, Science Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan1
Netherlands Defence Academy and Delft University of Technology1
Department of Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
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Molecular & Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin 2, Ireland1
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The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense M, Denmark1
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Electronics and Telecommunications Research Institute (ETRI), 218 Gajeong-ro, Yuseong-gu, Daejeon, Republic of Korea1
Dhofar University, Oman, Salalah1
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Department of Computer Engineering, Batman University, Batman, Turkey1
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Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, Troyes, France1
Department of Computer Technologies, Trabzon Vocational School, Karadeniz Technical University, Trabzon, Turkey1
Department of artificial Intelligence and systems engineering Faculty of Computer Science and Information Technology Riga Technical University Riga, Latvia1
University of São Paulo1
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UNLV STEM, Las Vegas, Nevada1
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PGOI, Indore1
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Faculty of Science, Department of Mathematics, Aswan University, Egypt1
Karlsruhe Institute of Technology (KIT), Institute of Measurement and Control Systems, Karlsruhe, 76131, Germany1
Laboratoire d’Informatique de Grenoble, Université Joseph Fourier, Grenoble cedex 9, France1
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Department of Electrical and Electronics Engineering, Batman University, Batman, Turkey1
College of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, P.R. China1
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Laboratory for Intelligent and Safe Automobiles, University of California San Diego (UCSD), USA1
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Computer Vision Group, University of Jena, Jena, Germany1
Daimler AG, R&D, Germany and Hochschule fur Technik, Stuttgart, Germany1
Daimler AG, R&D, Germany and University of Jena, Jena, Germany1
Global Big Data Technologies Centre, University of Technology at Sydney, Sydney, NSW, Australia1
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LIIAN, Department of Mathematics and Computer Science, Faculty of Science, Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco1
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Department of Computer Science and Information Systems, Birkbeck College, Malet Street, London, Berkshire, United Kingdom1
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Dept. of Electrical Engineering, IIT Kanpur, Uttar Pradesh, India-2080161
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Center for Comparative Medicine, University of California, Davis, U.S.A.1
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CEA (iRSTV/BGE), INSERM (U1038), CNRS (FR3425), Université Grenoble-Alpes, Grenoble, France1
Costel, Université de Rennes 2, Rennes, France1
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Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, R.O.C.1
Department of Applied Geoinformatics, Chia Nan University of Pharmacy & Science, Tainan, R.O.C.1
Department of Electronics Engineering, State University of Makassar, Indonesia1
Department of Mathematics and Informatics, J. Selye University, Komárno, Slovakia1
Institute of Informatics, University of Szeged, Szeged, Hungary1
Department of Electrical Engineering, Sajaad University, Mashhad, Iran1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
College of Business Administration, University of Alabama in Huntsville, Huntsville, AL, USA1
Sharp Laboratories of America, 5750 NW Pacific Rim Blvd., Camas, WA 98607, USA1
Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Budapest, Hungary1
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar1
Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology, University of Technology, Sydney, 81 Broadway Street, Ultimo, NSW, Australia1
IBISC laboratory, Evry, France1
Elektrik ve Elektronik Mühendisliği Bölümü, Doğu Akdeniz Üniversitesi, KKTC1
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University of Illinois Urbana-Champaign, USA1
Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute Troy, Troy, USA1
Key Lab of Computing and Communication Software of Anhui Province School of Computer Science and Technology, University of Science and Technology of China Hefei, Anhui, People’s Republic of China1
Laboratory LIIAN Faculty of Science Dhar EL Mahraz, Fez, Morocco1
Microsoft Photogrammetry Graz, Austria1
Goi Eskola Politeknikoa, Mondragon Goi Unibertsitatea, Mondragon, Spain1
Dept. Clinical Psychology University, College London London, United Kingdom1
School of Computer, Electronics and Information, Guangxi University1
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. malasiot@iti.gr1
Informatics and Telematics Institute, Centre for Research and Technology Hellas, 1st Km Thermi-Panorama Rd, Thessaloniki 57001, Greece. filareti@iti.gr1
University of Bologna - Bologna, Italy, ETHZ - Zürich, Switzerland1
University of Bologna, Bologna, Italy1
Department of Information and Technology, Nanjing College of Forestry Police, Nanjing 210046, Jiangsu, P. R. China1
College of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, Jiangsu, P. R. China1
Department of Electrical and Electronic Engineering, Imperial College, London, UK1
Poongsan Defense R&D Institute1
Dept. of Mechanical Engineering, Srinakharinwirot University, Ongkharak, Nakonnayok 26120, Thailand1
Fraunhofer Institute for Telecommunications, Berlin, Germany1
Fraunhofer Institute for Digital Media Technology, Ilmenau, Germany1
Siemens AG, Corporate Technology, Munich, Germany1
Faculté Polytechnique de Mons - TCTS 31, Mons, Belgium1
IDIAP - Dalle Molle Institute for Perceptual Artificial Intelligence, Martigny, Switzerland1
Nat. Taipei Univ., Taiwan1
MPI Tübingen, Germany1
University of Burgundy, Le2i Laboratory, Le Creusot, France1
Department of Electronics, Kyungil University, Daegu, Korea1
SK Telecom, Seoul, Republic of Korea1
Siemens Corporate Research, yakup.genc@siemens.com1
Department of Electrical and Computer Engineering, Saginaw Valley State University, University Ctr, MI- 487101
Department of Computer Science and Information Engineering, National United University, Miaoli, Taiwan1
Side Effects Software, Santa Monica, USA1
IBM T.J. Watson Research Center, Yorktown Heights, USA1
ICT Center, CSIRO, Brisbane, Australia1
ICT Center, CSIRO, Sydney, Australia1
Computer Vision Research lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Speech Technology Group, Technical University of Madrid, Spain1
TALP Research Center, Universitat Politècnica de Catalunya, Spain1
TELE Lab, Université catholique de Louvain, Belgium1
Department of Statistics, Psychology and Computer Science, University of California at Los Angeles, Los Angeles, USA1
Alibaba Group R&D, Hangzhou, P.R. China1
Department of Statistics, University of California at Los Angeles, Los Angeles, USA1
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg, Luxembourg1
Institut Fresnel, UMR CNRS 7249, Ecole Centrale Marseille, France1
TRI-UHN, Toronto, ON, M5G2A2 Canada1
Intel Labs, 4720 Forbes Ave, Pittsburgh, PA 15213, United States1
UC Berkeley, California, United States1
Onfido, London, United Kingdom1
Department of Computer Science, New Jersey, Institute of Technology, Newark, 07102, USA1
KU Leuven, Leuven, Belgium1
Faculty of Information Technology Engineering, Tarbiat Modares University, Tehran, Iran1
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Department of Electrical and Computer Engineering, Naresuan University, Muang, Thailand1
Grupo de Investigación GDSPROC Universidad del Quinío1
Electronic and Computer Engineering (DIEEI) University of Catania, Department of Electrical, Catania, Italy1
Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt1
Platinum Solutions, Inc, Reston, Virginia United States1
Naval Criminal Investigative Services, NCIS, Washington, DC United States1
Federal Institute of Education, Science and Technology of Maranhão, São Luís, Brazil1
Information Systems Laboratory, University of Campina Grande, Campina Grande, Brazil1
Baidu Big Data Research Laboratory, Sunnyvale, CA, USA1
Google and Hewlett-Packard Labs1
LinkedIn and Hewlett-Packard Labs1
School of Electronic and Information Engineering, Inner Mongolia University of Science and Technology, Baotou, People’s Republic of China1
Department of Psychology and IIASS, Second University of Naples, Caserta, Italy1
AIIS Inc, Columbus, USA1
Wright State University, Dayton, USA1
Department of Environment Perception, Daimler AG, Ulm, Germany1
California State University, Fullerton and Binghamton University, Binghamton, NY1
Department of Computer Software, Engineering, U.E.T Peshawar Mardan Campus, Charsaddah Road Mardan1
Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, jonas.richiardi@epfl.ch1
Sense Time Group Limited1
Noblis, Annandale, VA, USA1
NODET, Iran1
Department of Biomedical Engineering, Hakim Sabzevari University, Iran1
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Computer Science and Information Engineering, Chaoyang University of Technology, Taichung, Taiwan, R.O.C.1
Division of Information System, The University of Aizu, Aizuwakamatsu, Japan1
3-8-1 Nishi-kanda, Morpho, Inc., Chiyoda-ku, Tokyo, 101-0065, Japan1
Institut Telecom, Telecom Lille1, LIFL (UMR USTL/CNRS 8022), Villeneuve d’Ascq, France1
Department of Electrical Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan1
Graduate Institute of Food Culture and Innovation, National Kaohsiung University of Hospitality and Tourism, Taiwan1
Institute for Man-Machine Interaction of RWTH Aachen University, 52074 Aachen, Germany1
KIT, EPFL1
Advanced Scientific Computing Division, Euro-Mediterranean Centre on Climate Change, Lecce, Italy1
Department of Embedded Systems, Institute for Infocomm Research, Singapore1
Computer Engineering Department, Cyprus International University, Nicosia, Northern Cyprus, Mersin 10, Turkey1
National Computer network Emergency Response technical Team/Coordination, Center of China, Beijing 100029, China and Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (C ...1
School of Math and Geospatial Sciences, Royal Melbourne Institute of Technology University , Melbourne, Australia1
Intelligent Fiber Optic Systems Corporation, Santa Clara, CA, USA1
LSIIT, Strasbourg University - CNRS - INSA, Strasbourg, France1
Japan Automobile Research Institute, Minato-ku, Tokyo 105-0012, Japan1
Queensland University of Technology (QUT)1
Technicolor, Cesson-Sévigné, France1
Department of Computer Science and Information Systems, London, U.K.1
School of Science and Technology, Tokai University, Tokai, Japan1
IMIS, R.C. Athena, Athens, Greece1
Teklia SAS, Paris, France1
A2iA SA, Paris, France1
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Center for Biological and Computational Learning, M.I.T., Cambridge, USA1
FZI Research Center for Information Technology, Mobile Perception Systems, 76131 Karlsruhe, Germany1
Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. claus.neubauer@siemens.com1
Siemens Corporate Research, 755 College Road East, Princeton, NJ 08540. chao.yuan@siemens.com1
ENST, Bretagne, GET-ENST, Brest, F-29200 France1
CHU Brest, Service d'Ophtalmologie, Brest, F-29200 France1
Univ Bretagne Occidentale, U650, Brest, F-29200 France; Inserm, U650, Brest, F-29200 France Mathieu.Lamard@univ-brest.fr1
Dept. of EE, Univ. at Buffalo, SUNY, USA1
Universitat Autonoma de Barcelona, barcelona, Spain1
Linkoping University, Linkoping, Sweden1
Mirada Medical Ltd., Oxford, UK1
Department of Engineering Science, University of Oxford and Mirada Medical Ltd., Oxford, UK1
Department of Computer Science and Technology University of Bedfordshire United Kingdom1
Computer Vision Laboratory Group, Universidad de Zaragoza, Zaragoza, Spain1
Escuela Superior de Ingenieros, Universidad del Pais Vasco, Bilbao, Spain1
Universidad de Valladolid, Valladolid, Spain1
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Escuela Universitaria Politecnica de Mataro, Mataro, Spain1
Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
Department of Developmental Psychology, Radboud University, Nijmegen, The Netherlands1
Pluryn, Hoenderloo, The Netherlands1
Stichting Otto Gerhard Heldring, Zetten, The Netherlands1
Karakter Child and Adolescent Psychiatry University Centre Nijmegen, Nijmegen, The Netherlands1
Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Centre, Nijmegen, The Netherlands1
Department of CSE, HBTIU, Kanpur (India)1
Department of IT, UIET, CSJMU Kanpur (India)1
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Treelogic, Technological Scientific Park of Asturias, Llanera, Spain1
Department of Computer Science and Engineering, University of Oviedo, Gijón, Spain1
Fundación CTIC (Technological Center), Technological Scientific Park of Gijón, Gijón, Spain1
Department of Computer Science, Madrid Open University, Madrid, Spain1
Department of Research and Diagnostic Methods, Faculty of Education, Pontificia University of Salamanca, Salamanca, Spain1
Sunway University, 46150 Petaling Jaya, Malaysia1
Electronics Engineering and Computer Science Department, Fukuoka University, Japan1
Department of Computer Science and Engineering, University at Buffalo, The State University of New York, Buffalo, NY, USA1
Department of Electrical Engineering, National University of Computer and Emerging Sciences, Pakistan1
Department of Electrical and Electronics Engineering, University of Sheffield, UK1
IRSEEM1
Morpho, Safran Group and Télécom ParisTech, CNRS LTCI and Université Pierre et Marie Curie, LIP61
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Institute of Communication and Computer Systems, Athens, Greece1
Department of Computer Engineering, Air Force Academy, Istanbul, Turkey1
Vehicle Engineering Development Div., Toyota Motor Corporation, Japan1
Collaborative Safety Research Center, Toyota Motor Engineering & Manufacturing North America Inc., USA1
School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300811
School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, P. R. China, 4300811
Department of Cognitive Systems, University of Tübingen, Germany, 720761
Dept. of Comput. Sci., Drexel Univ., Philadelphia, PA, USA1
School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Korea1
Faculty of Information Technology, VUT — Brno University of Technology, Brno, Czech Republic1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). enrique.cabello@urjc.es1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). angel.serrano@urjc.es1
Face Recognition and Artificial Vision Group, Universidad Rey Juan Carlos, C/ Tulipán, s/n, Móstoles E-28933 Madrid (Spain). cristina.conde@urjc.es1
MPI Informatics, Saarbrücken, Germany1
Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium1
Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany1
Department of Psychiatry and Psychotherapy, Neurophysiology and Interventional Neuropsychiatry, University of Tübingen, Tübingen, Germany1
Department of Clinical Psychology und Psychotherapy, University of Tübingen, Tübingen, Germany1
Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, Modena, Italy1
Department of Mechatronic & Biomedical Engineering, Universiti Tunku Abdul Rahman (UTAR), Kuala Lumpur, Malaysia1
Department of Computer Science and Technology, Yangzhou University, Yangzhou, People’s Republic of China1
School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, People’s Republic of China1
Centre for Quantum Computation & Intelligent Systems and the Faculty of Engineering & Information Technology, University of Technology of Sydney, Ultimo, Australia1
University, Kowloon, Hong Kong1
Seelicon Research, Princeton, NJ1
Kings College, London, UK1
Istituto Nazioinale di Ottica - CNR, Italy1
Department Obstetrics and Gynecology, University at Buffalo, SUNY Buffalo NY 14260 USA1
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Robotic Surgery, Kaleida Health Western New York, Buffalo NY 14214 USA1
University of Leuven, Leuven, Belgium1
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University of Paris-Est, Gaspard-Monge Computer Science Laboratory A3SI, ESIEE Paris, CNRS, France1
Grottini Lab S.r.l., Porto Recanati, Italy1
Statistics Department, Univ. of California at Los Angeles, Los Angeles, CA 90095. zjxu@stat.ucla.edu1
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Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76131 Karlsruhe, Germany1
Marine Engineering College, Dalian Maritime University, Dalian, People’s Republic of China1
Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, USA1
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Department of Electrical and Computer Engineering, University of Missouri Columbia, MO, USA1
Inria, Campus universitaire de Beaulieu, Rennes, France1
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Teacher Training in Mathematics, Gazi Faculty of Education, Gazi University, Ankara, Turkey1
Computer Engineering Department, Ahmet Yesevi University, Turkistan, Kazakhstan1
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Galician Research and Development Center in Advanced Telecommunications (GRADIANT), Vigo, Spain1
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University of Engineering and Technology, Taxila, Pakistan1
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Hyundai Motor bldg., Hyundai Mnsoft, Seoul, 04365, Korea1
History of Art, University of California, Berkeley, U.S.A.1
Fujifilm Software, San Jose, USA1
Enerji Sistemleri Müh. Bölümü Teknoloji Fakültesi, Firat Üniversitesi Elaziğ, Türkiye1
Enformatik Bölümü Firat Üniversitesi Elaziğ, Türkiye1
Midyat Meslek Yüksekokulu Mardin Artuklu Üniversitesi Mardin, Türkiye1
Nvidia Research1
Department of Computer Science, State University of New York at Binghamton. Binghamton, NY, 13902; IBM at Endicott, NY.1
Institute of Technology of Châteauroux, University of Orleans1
Graduate School of Informatics and Engineering, University of Electro-Communications 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan1
Quang Binh University, Dong Hoi City, Vietnam1
Linköping, Sweden1
University of North Carolina Wilmington. ricanekk@uncw.edu1
University of North Carolina Wilmington. albertm@uncw.edu1
University of North Carolina Wilmington. sethurama@uncw.edu1
University of North Carolina Wilmington. pattersone@uncw.edu1
Institut TELECOM, TELECOM Lille 1, LIFL (UMR 8022), Lille, France1
Leiden Institute of Advanced Computer Science, Leiden University, Leiden, The Netherlands1
Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee , Milwaukee, WI, USA1
Multimedia Interaction and Understanding Lab, Hewlett-Packard Laboratories, Palo Alto, California, USA1
Department of Computer Science and Engineering and the Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA, USA1
Department of Computer Science, Catholic University of Murcia, Murcia, Spain1
University Medical Center (CMU), Geneva1
Information Science and Technologies Institute, National Research Council (ISTI-CNR), Pisa, Italy1
Philips Innovation Group, Philips Research1
University of Southern California and Max Planck Institute for Intelligent Systems1
MPI for Informatics, Saarbrücken, Germany1
School of Computer Science, Xinjiang Normal University, No. 102 Xin Yi Rd, Urumqi, 8300541
Department of Electrical and Computer Engineering, Kettering University, Flint, Michigan, USA1
Defence Research and Development Canada, Ottawa, ON, Canada1
Ministry of Education of China, Zhejiang University Embedded System Engineering Research Center1
Zhejiang Provincial Key Laboratory for Network Multimedia Technologies1
Human Research & Engineering Directorate, Army Research Laboratory, Aberdeen Proving Ground, MD, USA1
Specialized Processor Architectures Lab Dept. Tecnología Informática y Computación, Universidad de Alicante, Alicante, Spain1
The Department of Psychology, The Pennsylvania State University, 450 Moore Building, University Park, PA 16802, USA1
Adobe Systems1
Department of Computer Science, Abdul Wali Khan University, Mardan, Pakistan1
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA1
Université Technologique de Compiègne, 60200 Compiègne, France1
THALES-TRT 91767 Palaiseau, France1
Satellite Department, Agency for Science, Technology and Research, Singapore1
Visual Computing Department, Agency for Science Technology and Research, Singapore1
University of Salerno, Via Ponte don Melillo, 84084 Fisciano, Salerno1
Department of Computer Science, Christian-Albrechts University, Kiel, Germany1
Hasan Kalyoncu University, Gaziantep, Turkey1
Department of Electrical and Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates1
Intel Corporation, Kontich, Belgium1
Brno University of Technology, Faculty of Electrical Engineering and Communication, Technicka 12, 612 00 Brno, Czech Republic1
Department of Psychology at the University of Northern British Columbia1
ARM, Austin, Texas, United States of America1
NEC Laboratories America, Inc., Cupertino, CA, USA1
Department of Telecommunications and Information Processing, Image Processing and Interpretation, UGent/iMinds, Ghent, Belgium1
School of Mathematical and Physical Sciences at the University of Newcastle, Callaghan, NSW 2308, Australia1
Comput. Sci. & Artificial Intelligence Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA1
University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3 / XII, Zagreb, Croatia. E-mail: bozidar.klimpak@gmail.com1
Dithen, London, U.K.1
Department of Microbiology and Immunology, Department of Computer Science and Engineering, Department of Biostatistics, University at Buffalo, The State University of New York, Buffalo, USA1
New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, The State University of New York, Buffalo, USA1
Cogvis GmbH, Wiedner Hauptstrasse 17/3a, A-1040 Vienna1
Ecole Centrale de Lyon, LTDS UMR5513, F-69134, France1
Ecole Centrale de Lyon, ICJ UMR5208, F-69134, France1
Department of Computer Science, UNC-Charlotte, Charlotte, USA1
University of Gabes National Engineering School of Gabes, Tunisia1
Engineering Dept., E. Ada Byron, Univ of Zaragoza, Computer & Systems, Zaragoza, Spain1
Instituto Superior Tecnico - Torre Norte, University of Lisboa, Lisboa, Portugal1
Electrical and Computer Engineering Dept, University of Porto, Porto, Portugal1
Info Syst Dept;Campus de Azurém, University of Minho, Guimarães, Portugal1
Department of Material Handling and Logistics Systems, Budapest University of Technology, +Budapest, Hungary1
University Iuav of Venice, Venezia, Italy1
Dep. of Mathematics - University of Milan Via Saldini 50, I-20133 Milan - Italy1
Indraprastha Institute of Information Technology Delhi, New Delhi 1100201
Sensing and Control Technology Laboratory, Omron Corporation, Kyoto 619-0283, Japan1
Universitat De Girona (UDG), Spain1
Samsung Bangladesh R & D Center Ltd, Dhaka, Bangladesh1
Department of CSE, Prime University, Dhaka, Bangladesh1
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Chinese University of Hong Kong1
Department of Electrical Engineering, Afeka, Tel Aviv Academic College of Engineering, Tel Aviv, Israel1
DiCo, Università di Milano, Italy1
Department of Information System Service, Swiss German University, Tangerang, Indonesia1
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Shanghai Research Institute of China Telecom. Corporation Limited1
Dept. of CIT, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh1
Siemens AG, Munich, Germany1
MITI, Klinikum rechts der Isar, Technische Universität München, Munich, Germany1
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ICSI, UC Berkeley, Berkeley, USA1
Willow Garage, Inc., 68 Willow Road, Menlo Park, CA 94025, USA1
Navier (UMR 8205), Ecole des Ponts ParisTech, UPE, Champs-sur-Marne, France1
School of Computer Science, The University of Notthingham, Nottingham, U.K.1
PRISME Institute, ENSI de Bourges - University of Orléans, 88 Boulevard Lahitolle, 18020 BOURGES, France1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xfwang@ustc.edu.cn1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. xuejia@mail.ustc.edu.cn1
Dept. of Computer Science, Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, 230027, P. R. China. sfwang@ustc.edu.cn1
Department of Electronic Systems, Aalborg University Copenhagen, Denmark1
Department of Mathematics and Computer Science, Ecole Centrale de Lyon, CNRS, 69134, France1
Department of Electrical Engineering and Computer Science, Shibaura Institute of Technology Graduate School of Engineering and Science, Tokyo, Japan1
Department of Computer and Information Science, Hunan University of Science and Engineering, Yongzhou, Hunan China, 4250061
The Johns Hopkins University, Baltimore, USA1
Snapchat Research, Venice, CA902911
Security area everis Aerospace, Defense Security, Madrid, Spain1
Department of CSE, University at Buffalo (SUNY), NY 14260, USA1
Barcelona School of Telecommunications Engineering, Universitat Politcnica de Catalunya, EU, Spain1
Department of Computer Science, Texas State University, San Marcos TX, 78666-4616, USA1
IRISA, Campus Universitaire de Beaulieu, Rennes, France1
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia. slobodan.ribaric@fer.hr1
Department of Information Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502 Japan1
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan. byliao@cc.kuas.edu.tw1
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GRIFT Research Group, CRISTAL Laboratory, Ecole Nationale des Sciences de l’Informatique (ENSI), La Manouba University, La Manouba, Tunisia1
Department of Computer Science and Information Engineering, Ching-Yun University, Taiwan1
Department of Computer Engineering and Science of Yuan-Ze University, Taiwan1
Department of Computer Science, University of Freiburg, Freiburg, Germany1
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School of Nursing and Health Professions at Georgia State University, Atlanta, GA 30302, USA1
Department of Mechatronics Engineering, International Islamic University, Kuala Lumpur, Malaysia1
UMass Dartmouth, Dartmouth, MA, USA1
QCIS, University of Technology, Sydney, Australia1
NPU-VUB Joint AVSP Lab, Department ETRO, Vrije Universiteit Brussel (VUB), Brussels, Belgium1
Raytheon Missile Systems, Tucson, USA1
Department of Multimedia, Sungkyul University, Korea1
Kakao Brain, Seongnam, South Korea1
Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA1
Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran1
Faculty of Electronics, Wrocław University of Science and Technology, 50 370 Wrocław, Wyb. Wyspianskiego 27, Poland1
Multi-Modal Biometrics Lab, Institute for Infocomm Research, Republic of Singapore. wyyau@i2r.a-star.edu.sg1
Electronics and Computer Department, Kumamoto Prefectural College of Technology, Japan1
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Computer Science and Artificial Intelligence, MIT, Cambridge, MA1
Autonomous System Laboratory, ICT Centre, Commonwealth Scientific and Industrial Research Organisation, Pullenvale, Australia1
ETH Zurich, Switzerland and KU Leuven, Belgium1
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TELECOM Lille1/LIFL, Villeneuve d'Ascq, France1
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MIT, Media Lab,, MA, USA1
Aix Marseille Univ, CNRS, LIF, Marseille, France1
INRIA/Ecole Normale Supérieure, Paris1
Department of Electrical and Electronic Engineering, University of Cagliari, Italy1
Department of Computer Engineering, Bahçeşehir University, Istanbul, Turkey1
Electrical Engineering, Faculty of Engineering Chiang Mai University, Chiang Mai, Thailand1
Centre for Smart Grid and Information Convergence, XJTLU, Suzhou, People’s Republic of China1
Database/Bioinformatics Laboratory, College of Electrical and Computer Engineering, Chungbuk National University, Cheongju, Korea1
Department of Data Platform, Ping An Technology (ShenZhen) Company Limited, Pudong New Area, People’s Republic of China1
College of Information Engineering, Shanghai Maritime University, Shanghai, People’s Republic of China1
Shenzhen Polytechnic, Shenzhen, P. R. China1
China Key System & Integrated Circuit Co. Ltd1
FX Palo Alto Laboratory1
Yamaha Motor Co., Ltd., Japan1
Chair of Computer Vision, Institute of Computer Science, Friedrich-Schiller-University, Jena, Germany1
Xi’an Jiaotong University, Xi’an, People’s Republic of China1
Department of Psychology, Southern Utah University, Cedar City, UT1
Marcus Autism Center, Children's Healthcare of Atlanta & Emory University School of Medicine, 1920 Briarcliff Rd NE, Atlanta, GA 30329, United States1
Imperial College London / University of Twente, SW7 2AZ, UK / Enschede, 7500 AE, NL, UK1
Astellas Research Institute of America, IL, USA1
THALES Services - 91767 Palaiseau, France1
Université de Toulon, La Garde, France1
Department of Computer Engineering, Chiang Mai University1
Technische Universität München / Imperial College London, Munich / London, England UK1
Department of Computer Science, University of Paderborn, Pohlweg 47-49, 33098 Paderborn, Germany1
The 3rd Research Institute of Ministry of Public Security, Yueyang Road, Shanghai, P.R. China1
Department of Rheumatology and Immunology, Shanghai Changzheng Hospital, the Second Military Medical University, 415 Fengyang Road, Shanghai, P.R. China1
Institute for Information technology National research Council of Canada Moncton NB Canada E1A 7R11
Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, 69134, France1
Department of Computer Science University Malaysia Terengganu, Terengganu, Malaysia1
School of Computer Science, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia1
Raytheon BBN Technologies, 10 Moulton St, Cambridge, MA1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. lpreis@fe.up.pt1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. eduardo.valgode@gmail.com1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. rbraga@pucrs.br1
LIACC - Artificial Intelligence and Computer Science Lab., FEUP - Faculty of Engineering of University of Porto, Rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal. pmf@fe.up.pt1
Beijing University of Posts and Telecommunications/The University of Western Ontario1
School of Computer Science and Information System, Pace University, New York USA1
School of Computer Science and Information Systems, Pace University, New York, USA1
SET Media Inc, San Francisco, USA1
Computer Science and Systems Engineering Department, Engineering Research Institute of Aragon (I3A), University of Zaragoza, Zaragoza, Spain1
Multimedia Technologies Division, Aragon Institute of Technology, Zaragoza, Spain1
Honda Research Institute USA, Inc., 400 National Ave, Mountain View, CA 94043, USA1
Computational Science Center, Brookhaven National Laboratory, Upton, NY, USA1
Departamento de Automação, Goiano Federal Institute (IFGoiano), Trindade, Brazil1
The Faculty of ICT-Mahidol University, Thailand1
Daimler Center for Automotive Information Technology Innovations (DCAITI), Ernst-Reuter-Platz 7, 10587 Berlin, Germany1
School of Computer Science Carnegie Mellon University Pittsburgh, PA, 15213, USA1
LM2S Research Unit, Charles Delaunay Institute, University of Technology of Troyes, France1
INRIA Grenoble, Grenoble, France1
Department of Mechanical Engineering, Covenant University, Ota Ogun State, Nigeria1
Department of Computer Science, Indiana University-Purdue University Indianapolis, 46202, USA1
Turkcell İletişim Hizmetleri A.Ş., Ankara, Türkiye1
Intelligent Autonomous Systems Group, Technische Universität München, Garching, Germany1
École Polytechnique Fédérale de Lausanne - CH-1015, Lausanne, Switzerland1
Hewlett-Packard Laboratories, 1501 Page Mill Road, MS 1203, Palo Alto, CA 94304, USA1
Department of Psychiatry, Indiana University School of Medicine, Indianapolis, USA1
Toshiba Corporation, Principal Office, Technology Planning Division, 1-1, Shibaura 1-Chome, Minato-ku, Tokyo 105-8001, Japan1
Integrated Circuits and Electronics Laboratory, Department of Engineering, Aarhus University, Denmark1
Birmingham City University, Birmingham, UK1
Inst. of Computational Sci., ETH Zurich, Switzerland1
Department of Computer and Information Sciences, University of Alabama at Birmingham, USA1
Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA, USA1
Department of Cognitive Science, University of California, San Diego, CA, USA1
Utechzone Co. Ltd., New Taipei City, Taiwan 2351
Department of Electrical Engineering, University of Ulsan, 93 Daehak road, Nam-gu, Ulsan 680-749, Korea1
Electrical and Computer Engineering Department at Brigham Young University, USA1
Mechanical Engineering Department at Brigham Young University, USA1
University of Udine, Department of Mathematics and Computer Science, Via delle Scienze 206, 33100 Udine, Italy1
VISIONe lab, University/Industry joint laboratory, via Cjavecis 3, 33100, Udine, Italy1
Faculty of Media Engineering & Technology German University in Cairo, Egypt1
AvidBeam1
Faculty of Media Engineering & Technology, German University in Cairo, Egypt1
SiliconScapes LLC, USA1
Toshiba, Japan1
Gipsa-lab (Signal and Images Department), 961 rue de la Houille Blanche, BP 46 - 38402 Grenoble, France1
Vesalis company, Parc Technologique de la Pardieu, 10 rue Evariste Galois, 63000 Clermont-Ferrand, France1
University of Palermo, Palermo, Italy1
UMR 5141, CNRS, Telecom ParisTech, France1
Intelligent Biometric Group, School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, Nibong Tebal, Malaysia1
Department of Electronics & Communication Engineering, Jeppiaar Engineering College, Chennai, TN India1
Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, TN India1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. mps04@inf.ufpr.br1
IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. sidnei@inf.ufpr.br1
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IMAGO Research Group - Universidade Federal do Paraná, Caixa Postal 19081, 81.531-980, Curitiba - PR - Brazil. olga@inf.ufpr.br1
School of Communication and Electronic Engineering, Qingdao Technological University, Qingdao 266033 China1
Dept. of Information Communication Yuan-Ze University, Innovation Center for Big Data and Digital Convergence, Taiwan1
Dept. of Electrical Engineering, Yuan-Ze University, Taoyuan, Taiwan1
Guangxi University, Electronics and Information, School of Computer1
Fraunhofer IFF, Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany1
Humboldt-Universität zu Berlin, Department of Computer Science, Unter den Linden 6, 10099 Berlin, Germany1
Laboratoire d'InfoRmatique en Image et Systémes d'information Lyon Central School, University of Lyon, France: 69134 Ecully1
VARPA Group, University of A Coruña, A Coruña, Spain1
Department of Computer Science and Engineering, Sogang University, Seoul, Korea1
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Barcelona, Spain1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. zhangxiaoxun@bit.edu.cn1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. jiayunde@bit.edu.cn1
Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing 100081, CHINA. xushuang@bit.edu.cn1
De Montfort University, Leicester, UK, LE1 9BH, +44 (0)116 20784901
Department of Psychology, Emory University, Atlanta, USA1
Division of Psychobiology, Yerkes National Primate Research Center, Emory University, Atlanta, USA1
Center for Behavioral Neuroscience, Atlanta, USA1
Division of Neuroscience, Yerkes National Primate Research Center, Emory University, Atlanta, USA1
Department of Psychology, University of Massachusetts-Amherst, Amherst, USA1
UMR 5141, LTCI, Telecom ParisTech, France1
School of Mechanical Design and Automation Engineering, Seoul National University of Technology, 139-143, Seoul, Korea1
Samsung Electronics Co. Ltd., Suwon, Korea1
Department of Computer Science, The City University of Hong Kong, Hong Kong1
Institute of Infocomm Research, A-STAR, Singapore1
Department of System Eng. and Computation, State University of Rio de Janeiro, Rio de Janeiro, Brazil1
Department of Electronics Eng. and Telecom., State University of Rio de Janeiro, Rio de Janeiro, Brazil1
Department of Computer Science, 2500 University of Calgary, Calgary, Canada1
School of Mathematics and Information Technology, Nanjing Xiao Zhuang University, Nanjing, People’s Republic of China1
Univ. La Rochelle, MIA La Rochelle, France1
CNRS, École Centrale de Lyon, University of Lyon, Lyon, France1
NICTA Queensland Research Laboratory, Brisbane, Australia1
Department of Animal Science and Technology, Konkuk University, Seoul, South Korea1
Optronic Sensor Systems, Council for Scientific and Industrial Research, Pretoria, South Africa1
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne1
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne and Electronic Microtechnology (CSEM), Neuchâtel1
Department of Computer Science, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
Center for Robotics Research, Korea Institute of Science and Technology, Seoul, 02792, Korea1
Bilgisayar Mühendisliği Bölümü, İTÜ, Turkey1
ECE Department, CyLab, Carnegie Mellon, Pittsburgh, USA1
Advanced Technologies Application Center, Playa, Cuba1
Orange—France Telecom Division R&D—TECH/IRIS, Cesson Sévigné Cedex, France1
Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, MA 01609-2280, USA1
DICGIM, University of Palermo, Palermo, Italy1
Department of Computer Science, University of Science & Technology, Bannu, Pakistan1
Grupo de Investigación GREC, Universitat Politècnica de Catalunya, Barcelona, España1
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Inria, Rennes, France1
New Mexico State University, Klipsch School of Electrical Engineering, Las Cruces, NM 880031
University of Greenwich, London, United Kingdom1
Roche Pharmaceutical Research and Early Development; Neuroscience, Ophthalmology and Rare Diseases, F. Hoffmann-La Roche Ltd., Basel, Switzerland1
DAIS, Università Ca’ Foscari, Venice, Italy1
Aubiere Cedex, France1
Edith Cowan University: School of Engineering, Joondalup WA 6027, Australia1
Department of Computer Engineering, Turgut Özal University, Ankara, Turkey1
Australian Centre for Robotic Vision (ACRV), Brisbane, Qld., Australia1
Mathematics and Computer Science Department, , Grambling State University, Grambling, LA, USA1
Department of Computer Science and Engineering, Incheon National University, South Korea1
Department of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Ireland1
Faculty of Physics and Applied Informatics, University of Lodz, Lodz, Poland1
Massachusettes Institute of Technology Media Lab, Cambridge, MA, USA1
In-Q-Tel, Menlo Park, CA USA1
Multimedia Interaction and Understanding Lab, HP Labs, Palo Alto, U.S.A.1
Graduate School of Engineering, Mie university, Mie, Japan1
Instituto de Investigaciones en Ingeniería Eléctrica (IIIE), Universidad Nacional del Sur-CONICET. Av. Alem 1254, Bahía Blanca CP 8000, Argentina1
Computer Science Department, School of Information Science and Engineering, Xiamen, University, Xiamen, People’s Republic of China1
Computer Science Department, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil1
Virtual Humans Simulation Lab, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil1
Dept. Of Information and Communication Engineering, Dongguk University, Gyeongbuk, Korea1
School of Electronics Engineering, Kyungpook National University, Taegu, Korea1
The Pennsylvania State University, University Park, PA 16802, USA1
CEA, Gif-sur-Yvettes, France1
Computer Science and Artificial Intelligence Department, University of Alicante, Spain1
Department of Business Computer, Faculty of Management Science, Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima, Thailand1
Yahoo! Research1
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Ben-Gurion University of the Negev & eBay Research, Beer-Sheva, Israel1
Intelligent Robotics Research Center Korea Institute of Science and Technology (KIST) Hawolgok-dong 39-1, Sungbuk-ku, Seoul 136-791, Korea dungding@kist.re.kr1
Department of Computer Science and Engineering, University of Liberal Arts, Bangladesh (ULAB), House No. 56, Road No. 4/A, Satmasjid Road, Dhaka 1209, Bangladesh1
Electronic Telecommunication Division, Ho Chi Minh City University of Industry, Ho Chi Minh City, Vietnam1
Research & Development Department, Broadcast Research and Application Center, Ho Chi Minh City, Vietnam1
Google Research, Mountain View, CA, USA1
IT Department, Faculty of Engineering, University of Mons, Belgium1
Google, Inc, Mountain View, USA1
NEC Laboratories America, Cupertino, USA1
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Qualcomm, Santa Clara, CA1
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Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications, Beijing Institute of Spacecraft System Engineering, Beijing 100094, P.R. China1
Department of Electrical and Electronics Engineering, Center for Image Analysis (OGAM) Middle East Technical University, Ankara, Turkey1
Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA, USA1
Redwood Systems, Fremont, CA,USA.1
Information & Control Engineering, Hankyong National University, Anseong, 456-749, Korea1
Department of Electrical and Computer Engineering Rose-Hulman Institute of Technology Terre Haute, IN 47803 mu@Rose-Hulman.edu1
Rakuten, Inc., Japan1
iRobot Corporation, 10 Greycoat Place, Victoria, London, UK1
INRS-EMT, Montreal, Canada1
Univ. of Sydney, NSW, Australia1
Computer Vision Research Group, Orand S.A. Estado 360 of 702, Santiago, Chile1
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Vesalis, Clermont Ferrand, France1
CMM, Mines Paristech, Fontainebleau, France1
Centre for Artificial Intelligence, School of Software, University of Technology Sydney Ultimo, NSW, Australia1
Thales Optronics, Glasgow1
School of Information Technology, King Mongkut's University of Technology Thonburi, Bangkok, Thailand1
Honda Research Institute USA, Inc., 425 National Avenue, Mountain View, CA-94043, USA1
ENSTA ParisTech, 828 Blvd des Marchaux, 91762 Palaiseau, France1
Department of Mechatronic Engineering, Fırat University, Elazığ, Turkey1
Vicomtech-IK4, San Sebastián, Spain1
Department of Electrical and Electronic Engineering, Center for Automation Research, UMIACS, College Park, Maryland United States1
AT&T Labs-Research, Middletown, New Jersey 07748 United States1
Fraunhofer Institute for Telecommunications - Heinrich-Hertz Institute1
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Bilgisayar Mühendisliği Bölümü, İstanbul Medeniyet Üniversitesi, Goztepe, Türkiye1
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Department of Creative IT Engineering, POSTECH, Pohang, South Korea, 376731
Department of Mechanical and Aerospace Engineering, Syracuse University, USA1
Dept. of Computing Science and Mathematics, University of Stirling, Stirling, Scotland, UK1
Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan1
University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland1
AGV Systems Pvt. Ltd. Mumbai1
Elektrik ve Elektronik Mühendisliği Bölümü, Eskişehir Osmangazi Üniversitesi, Eskişehir, Türkiye1
Nanyang Technological University School of Computer Engineering1
Google DeepMind1
Five AI, Cambridge, United Kingdom1
Kodak Alaris, Inc., Rochester, NY, USA1
University of Zagreb, Croatia1
Electronic Engineering Department, (MicroE), Universidad de Antioquia, Medellin, Colombia1
Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, E.T.S. de Ingenería Informática, Madrid, Spain1
Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain1
Electrical Department National, School of Engineering, Ibn ElJazzar, 5019, Monastir, Tunisia1
Departamento de Engenharia de Sistemas e Computação, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil1
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University Ulm, Albert-Einstein-Allee 41, Ulm, 89081, Germany1
Royal Holloway, Egham Hill, Egham, TW20 OEX, United Kingdom1
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MBRDNA, Sunnyvale, US1
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DGA, Bagneux, France1
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Division Télécom, Centre de Développement des Technologies Avancées - CDTA, Algiers, Algeria1
The Norwegian Color and Visual Computing Laboratory, Gjøvik University College, P.O. Box 191, N-2802, Norway1
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UPSud/INRIA Université Paris-Saclay, Saint-Aubin, France1
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Department of Mathematics/Computer Science, Philipps-University of Marburg, Marburg, Germany1
IBM T.J. Watson Research Center, Hawthorne, USA1
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School of Integrated Technology, Yonsei University. Incheon, Korea1
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Department of Electronic and Electrical Engineering, The University of Sheffield Mappin Street, Sheffield, S1 3JD, UK1
LSIS - UMR CNRS 7296, Aix-Marseille University, Marseille, France1
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LMU Munich, Germany and Munich University of Applied Sciences, Germany and Bundeswehr University Munich, Germany1
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Centre for Image Analysis, Uppsala University, Uppsala, Sweden1
Bilgisayar Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Ankara, gtumuklu@ceng.metu.edu.tr1
Dept. of Biomedical Eng., University of Padua, Italy. enrico.grisan@unipd.it1
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Ocular Imaging Department, Agency for Science, Technology and Research, Institute for Infocomm Research, Singapore1
Hue University of Sciences, Vietnam1
Laboratoire de Télécommunications et Télédétection, UCL, Louvain-La-Neuve, Belgium1
Department of Computer Science, Johns Hopkins University, Baltimore, United States1
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Toyota Technological Institute1
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Intel, Kontich, Belgium1
Department of Oral and Maxillofacial Radiology, School of Dentistry, Wonkwang University, Iksan, Korea1
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Electrical Engineering Department, Kuwait University, Safat, Kuwait1
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Project Lead Persistent Systems Ltd1
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Artificial Intelligence Center, University of Oviedo at Gijón, Gijón, Spain1
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MediaTek, Inc., Hsinchu, Taiwan1
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Elektronik ve Haberleşme Mühendisliği Bölümü1
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Netflix, Los Gatos, CA, USA1
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Cornell University & Facebook Inc., New York, NY, USA1
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Digital Western1
Nauto Inc., 380 Portage Ave., Palo Alto, CA 94306, USA1
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NVIDIA, Leesburg, USA1
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Labri, University of Bordeaux, France1
National Technical University of Athens/ University of the Aegean, Athens, Greece1
CoR-Lab, University of Bielefeld, Universitaetsstr. 25, 33615 Bielefeld, Germany1
Machine Intelligence Research Institute, Rockville, USA1
Computer Vision and Robotics Research, University of California, San Diego, La Jolla, California 92093-04341
City University of Macau, Xian Xing Hai, Macau1
Information Processing and Telecommunications Laboratory, Computer Science Department, Faculty of Science and Technology, Sultan Moulay Slimane University, Mghila, Beni Mellal, Morocco1
Psychology Department at California State University, Fullerton, California, US1
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University of Applied Sciences of Western Switzerland - Fribourg, Fribourg, Switzerland1
Institute of Control and Computation Engineering, Warsaw, Poland1
Industrial Research Institute for Automation and Measurements, Warsaw, Poland1
Dept. of Comp. Sci. and Inf. Eng, National United University, Miaoli, Taiwan1
Research Laboratories, Eastman Kodak Company, Rochester, New York 14650-1816. alexander.loui@kodak.com1
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Electrical and Computer Engineering Department, University of California, Santa Barbara, CA 93106 USA1
Psychology Department, University of California, Santa Barbara, CA 93106 USA1
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Department of Electronics Engineering Pusan National University, Busan, Korea1
Computer Vision Laboratory (CVLab), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland1
Robrt Bosch Center for Cyber physical Systems of Indian, Institute of Science Bangalore1
Ramaiah Institute of Technology, Bangalore1
National University of Singapore & Qihoo 360 AI Institute, Singapore, Singapore1
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University of South Wales, UK1
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Univ. La Rochelle, La Rochelle, France1
Antal Bejczy Center for Intelligent Robotics Óbuda University1
Intelligent Vehicles & CognitiveRobotics Group, Technical University Delft, The Netherlands1
Research Division, Anyvision, Belfast, U.K.1
Reference Centre on Interactive Television, Aragon Institute of Technology, Spain1
Electrical department, Azad University of Takestan, Takestan, Iran1
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Electrical and Computer department, Azad University of Qazvin, Qazvin, Iran1
Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan1
Faculty of Philosophy, Languages and Literature, and Human Sciences, University of Sao Paulo, Sao Paulo, Brazil1
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Facultad Informatica, Universidad Politecnica de Madrid, Boadilla del Monte (Madrid), Spain. lbaumela@fi.upm.es1
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Tsuruoka National College of Technology, Tsuruoka, Yamagata, Japan 997-85111
Kurume National College of Technology, Fukuoka, Japan 835-85551
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Department of Computer Science and Software Engineering, International Islamic University, Islamabad, Pakistan1
Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan1
MIRACL-Faculty of Sciences, Sfax University, Sfax, Tunisia1
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Department of Electrical and Electronic Engineering, Auckland University of Technology , Auckland, New Zealand1
Department of Computer Engineering, Qazvin Islamic Azad University , Qazvin, Iran1
Faculty of Electrical Engineering and Information Technology, Technische Universität München, 85290, Germany1
Nokia Research, Palo Alto, CA1
Vision Semantics Ltd1
Department of Nuclear Engineering, University of California, Berkeley, USA1
Department of Computer Science, University of California, Berkeley, USA1
Department of Computer Science and LIASD research Laboratory, University of Paris 8, Saint-Denis, France1
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Intel Israel, Haifa, Israel1
Microsoft Corporation, Redmond, WA1
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Ecole Centrale Paris & INRIA Saclay, France1
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UMR CNRS 5205, INSA-Lyon, LIRIS, Université de Lyon, CNRS, Lyon, France1
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Department of Physics and Computer Science, Pacific Lutheran University, Tacoma, WA, USA1
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NTIS - New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Plzeň, Czech Republic1
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Information Access Division, NIST, Gaithersburg, MD, USA1
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Department of Applied Mathematics and Analysis, Universitat de Barcelona, Barcelona, Spain1
Texas A & M University at Qatar, Doha, Qatar1
NTT Data Corporation, Kayabacho Tower, 1-21-2 Shinkawa, Chuo-ku, Tokyo 104-0033, Japan. Email: sakanoh@nttdata.co.jp1
Advanced Technologies Application Center (CENATAV), 7a # 21812 b/218 and 222, Siboney, Playa, Havana, Cuba1
Tencent1
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Institut Telecom, Telecom Paris, LTCI, France1
ITeam, Universitat Politècnica de València, Valencia, Spain1
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Private Practice, Auckland, New Zealand1
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iRobot Corporation, Bedford, MA, USA1
Department of Computer Science and Engineering, Toyohashi University of Technology, Aichi 441-8580, Japan1
Max Planck Institute for Intelligent Systems in Tübingen, Germany1
University of Brunei Darussalam, Faculty of Science, Brunei Darussalam1
Graduate School of Information Science and Technology The University of Tokyo, Tokyo, Japan1
Department of Computer Science, Kuwait University, Safat, Kuwait1
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Laboratory of LESIA, University of Biskra, Biskra, Algeria1
Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute Wako-shi, Saitama, 351-0198, Japan1
Bahirdar Institute of Technology, Bahir Dar, Ethiopia1
Department of Electrical Engineering, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
Pearl Special Needs Foundation, Ahmedabad, Gujarat, India-3800071
Centre for Cognitive Science, IIT Gandhinagar, Gandhinagar, Gujarat, India-3823551
School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, UK1
Computer Science Department, University of California, Los Angeles, CA, USA1
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Centre de Developpement des Technologies Avancees, Algeria1
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American University of Science & Technology, Department of Mechatronics Engineering, Faculty of Engineering, Beirut, Lebanon1
LIFL University of Lille 1, Lille, France1
Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi, ˙Istanbul, Türkiye1
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FEECS, Department of Computer Science, Technical University of Ostrava, Ostrava-Poruba, Czech Republic1
Department of Computer Science and Information, Institute of Statistical Studies and Research, Cairo University, Cairo, Egypt1
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School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, People’s Republic of China1
RWTH Aachen, Aachen, Germany1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan. e-mail: chihming.fu@gmail.com1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan; Informatics Department, Fo-Guang University, I-Lan, Taiwan. e-mail: clhuang@ee.nthu.edu.tw1
Electrical Engineering Department, National Tsing-Hua University, Hsin-Chu, Taiwan1
Department of Otorhinolaryngology, University Hospital Jena, Jena, Germany1
Department of Computer Science, Friedrich Schiller University, Jena, Germany1
University of Hawaii at Hilo, Hilo, HI1
Environmental Lab, US Army Engineer Research and Development Center, Vicksburg, MS, USA1
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Shahid Beheshti University, Computer Engineering Department, Shahid Beheshti University, Tehran, Iran1
Statistics, University of California, Los Angeles, USA1
Signal Processing Laboratory (LTS4) EPFL-FSTI-IEL-LTS4, Lausanne1
Technicolor, IRISA, University of Rennes 1, Rennes, France1
Department of Electrical and Electronic Engineering, University of Imperial College, London, UK1
Computer Engineering Department, Yildiz Technical University, Istanbul, TR1
Electric and Electronic Engineering Department, Bosphorus University, Istanbul, TR1
Dept. of Marine Engineering, Tokyo University of Marine Science and Technology, Japan1
Elektrik - Elektronik Mühendisliği Bölümü, Orta Doğu Teknik Üniversitesi, Kuzey Kıbrıs Kampüsü, Kalkanlı, Kuzey Kıbrıs1
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Pontifical Catholic Univ of Rio de Janei, Department of Informatics, Rio de Janeiro, Brazil1
Department of Informatics, Pontifical Catholic Univ of Rio de Janei, Rio de Janeiro, Brazil1
Fortiss GmbH, affiliated institute of Technische Universität München, Munich, Germany1
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA1
Department of Computer and Electrical Engineering & Computer Science, Florida Atlantic University, Boca Raton, FL1
Department of Computing, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, Australia1
University of the Basque Country (UPV/EHU), Leioa, Spain1
Signal Theory and Communications Department (DTSC), Carlos III University of Madrid (UC3M), Getafe, Spain1
Signal Theory Department, Polytechnic School, University of Madrid, Spain1
Computer Engineering Department, University of Alcala, Alcala de Henares, 28805 Madrid, Spain1
School of Electrical and Electronics Engineering, Nanyang Technological University 639798, Singapore1
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VIGpro Laboratory, The University of Kitakyushu, Japan1
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Gwangju Institute of Science and Technology, Buk-gu, South Korea1
University of Regina, Regina, Canada1
Academic College of Tel-Aviv-Yaffo1
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Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte-MG, Brazil, 31270-9011
Bundesdruckerei GmbH, Berlin, Germany1
Queensland University of Technolgy, Australia1
Department of Multimedia Engineering, Mokpo National University, Jeonnam, South Korea1
Technical University of Eindhoven, Eindhoven, Netherlands1
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Microsoft Bing, Sunnyvale1
Umm al Qura University & University of Grenoble Alpes, Makkah, Saudi Arabia1
Umm al Qura University & Universiti Sains Malaysia, Makkah, Saudi Arabia1
Universidad Politécnica de Madrid, Campus de Montegancedo, 28223 Pozuelo de Alarcón, Madrid, Spain1
Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan, R.O.C.1
Foundation for Research & Technology – Hellas, Heraklion, Crete, Greece1
Vrije Universiteit Amsterdam, Amsterdam, The Netherlands1
Sapienza Università di Roma, via Salaria 113, 00198, Italy1
LAAS-CNRS, Université de Toulouse, CNRS, UPS, Toulouse, France1
Faculty of Engineering, Multimedia University Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia1
LED-IT Fusion Technology Research Center and Dept. of Electronic Engineering Yeungnam University, 214-1 Dae-dong Gyeongsan-si Gyeongsangbuk-do, Korea1
Department of Information Engineering and Mathematics - University of Siena - Siena, Italy1
Department of Information Engineering - University of Florence - Florence, Italy1
E. U. Politecnica, Universidad de Castilla-La Mancha, Cuenca, Spain1
Science and Technology Unit, Umm Al-Qura University, Makkah Saudi Arabia1
Department of Neurosurgery, Rennes University Hospital, Rennes, France1
Advanced Engineering Department, DELPHI Automotive1
University of California, David, USA1
Toyohashi University of Technology, Toyohashi, Japan1
Laboratory Jean Kuntzmann, Grenoble Alpes University, Grenoble, France1
TeCIP Institute, Scuola Superiore Sant’Anna, Pisa, Italy1
Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway1
Media Analytics Department, NEC Laboratories America, Cupertino, CA, USA1
Department of Informatics, King’s College London, Strand, London, UK1
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, People’s Republic of China1
School of Communication Engineering, Nanjing Institute of Technology, Nanjing, People’s Republic of China1
Automotive IT Platform Research Team, ETRI, Daegu, South Korea1
Department of Computer Engineering, SunMoon University, Asan, South Korea1
University of Bremen1
DeePhi1
Stanford University and DeePhi1
Ecosurv Environmental Consultants, Maun, Botswana1
Department of Biology, California State University Northridge1
Department of Computer Science, Faculty of Science, Minia University, El-Minia, Egypt1
University of Texas, Texas, USA1
Universitat de Barcelona & Computer Vision Center, Barcelona, Spain1
Universitat Autonoma de Barcelona & Computer Vision Center, Barcelona, Spain1
University of Barcelona & Computer Vision Center, Barcelona, Spain1
Institut für Informatik VI, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany1
Center for Imaging Science, Department of Biomed-ical Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218, USA1
UMass Lowell-MA, USA1
Mitsubishi Electr. Res. Lab., Cambridge, MA, USA1
School of Engineering and Information Technology, Murdoch University, Murdoch, WA, Australia1
Elektrik-Elektronik Mühendisliği, Gazi Üniversitesi, Ankara, Türkiye1
Department of Mechanical Engineering, PurdueSchool of Engineering and Technology, IUPUI, USA1
Biomedical Signal Processing Laboratory, National Electronics and Computer Technology Center, Pathumthani, Thailand1
Elektrik-Elektronik Mühendisliği, Bölümü Gazi Üniversitesi, Ankara, Türkiye1
Institute for Infocomm Research (I2R) Visual Computing Department, Singapore 138632, Singapore1
The Pennsylvania State University1
College of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang1
Instituto de Astronomía, Universidad Nacional Autónoma de México, Ensenada, Mexico1
Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada, Mexico1
TecNM - Instituto Tecnológico de Tijuana, Calzada Del Tecnológico S/N, Fraccionamiento Tomas Aquino, Tijuana, Mexico1
Mechatronics Group, University of Auckland, Auckland, New Zealand1
School of Engineering, Auckland University of Technology, Auckland, New Zealand1
ESTIA, Bidart, France1
Department of Electrical and Electronic Engineering, Eeastern Mediterranean University, Famagusta, North Cyprus1
Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil1
Department of Electrical & Computer Engineering - Democritus University of Thrace, Greece1
Département Electronique et Physique, Institut National des Télécommunications, 9 Rue Charles Fourier, 91011 Evry France. Bernadette.Dorizzi@int-evry.fr1
CS Dept., UFMG, Brazil1
Argonne National Laboratory, USA1
KAUST Visualizatioin Core Lab., Thurwal, Saudi Arabia1
California Institute for Telecommunications and Information Technology, University of California, San Diego, La Jolla, USA1
VRVis Zentrum für Virtual Reality and Visualisierung, Vienna, Austria1
Department of Computer Science and Engineering, University of Colorado at Denver, Denver, USA1
Department of Computer Science, University of California at Irvine, Irvine1
Department of Computer Engineering, Umm Al-Qura University, Makkah, Saudi Arabia1
Digital Signal Corporation1
Department of Electrical and Computer Engineering, Khalifa University of Science Technology & Research, Sharjah, United Arab Emirates1
Pasadena, USA1
Faculty of Information Sciences and Engineering, Management and Science University, Selangor, Malaysia1
Research, MVTec Software GmbH, Munich, Germany1
Surf Sara BV, Science Park 140, Amsterdam, The Netherlands1
Multi-Agent Intelligent Simulation Laboratory (MISL), Mahasarakham University, Thailand1
Samsung Electronics1
Robotic Center, Mines ParisTech, 75272, France1
Honda R&D Co., Ltd, Wako, Japan1
Department of Intelligent Multimedia, ISIR of Osaka University, Osaka, Japan1
HCL Technologies Ltd. Chennai, Tamilnadu1
Department of Electronics Engineering, Pusan National University, Busan, Korea1
Leibniz Universität Hannover & German National Library of Science & Technology (TIB), Hannover, Germany1
Faculty of Engineering, Computer Engineering Department, Akdeniz University, Dumlupinar Bulvari, Turkey1
IRCICA, Parc Scientifique de la Haute Borne, Lille 1 University, Villeneuve d’Ascq, France1
Data and Analytics Department, KPMG AGWPG, Düsseldorf, Germany1
University of Ulm, Universität Ulm, Ulm, Germany1
Computer Science Dept., SUNY Stony Brook, USA1
The Graduate University for Advanced Studies (Sokendai), Japan1
ICube UMR 7357, CNRS, University of Strasbourg, France1
Department of Mechatronics Engineering, International Islamic University Malaysia, P.O. Box 10, 50728 Kuala Lumpur, Malaysia1
Intel Corporation, Santa Clara, CA1
SICK AG, Hamburg, Germany1
Department of Psychiatry and Psychotherapy, University of Würzburg, Würzburg, Germany1
IRDA Group, ADMIR Laboratory, Rabat IT Center, ENSIAS, CNRST (URAC29), Mohammed V University of Rabat, Morocco1
LRIT, CNRST (URAC29), Mohammed V University of Rabat, Morocco1
Intelligent Technology Laboratory, Dept. of Computer Science & Engineering, Inha University, Incheon, Korea1
Department of Information Technology, Hansei University, Kyonggi, Korea1
School of Mechanical Engineering, Pusan National University, Pusan, Korea1
Department of Automotive Engineering, Seoul National University of Technology, Seoul, Korea1
Chemical, Managerial, Computer and Mechanics Engineering Department, DICGIM, University of Palermo, Italy1
Computer Vision Center, Barcelona1
Queen’s University, Kingston, Canada1
OMRON Social Solutions Co., LTD, Kyoto 619-0283, Japan1
Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran1
Laboratory of LAGE, University of Ouargla, Algeria1
School of Big Data and Computer, Science, Guizhou Normal University, Guiyang, Guizhou, 550025, P. R. China1
University of California Irvine, Irvine1
Department of Electrical (Telecom) Engineering, NUST Military College of Signals, Islamabad, Pakistan1
Department of Computer and Information Sciences, Pakistan Institute of Engineering & Applied Sciences, Islamabad, Pakistan1
Media Research Department, Center for Technology Innovation - System Engineering, Hitachi, Ltd., 1-280 Higashi-koigakubo, Kokubunji, Tokyo 185-8601, Japan1
Department of Electrical Engineering, University of Souk-Ahras, Souk-Ahras, Algeria1
IDI, Norwegian University of Science and Technology (NTNU), Trondheim, Norway1
Department of Computer Science, Prince Sultan University, Riyadh, Saudi Arabia1
Georgia Tech Institute for Robotics and Intelligent Machines, USA1
Faculty of Engineering, Washington University St. Louis, USA1
Department of Electrical Engineering Amirkabir University of Technology, Tehran, Iran1
Department of Information Processing Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology Yokohama 226-8503, Japan1
Faculdade de Engenharia da Universidade do Porto (FEUP), Campus da FEUP, Porto, Portugal1
Intel Corp., 4600 S. Dobson Road, Chandler, AZ 852481
Dept. of Artificial Intelligence, Faculty of Computer Engineering, University of Isfahan, Iran1
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea1
Toyota Central R&D Lab., Inc., Nagakute, 480-1192 Japan1
Electronics advanced development department, Toyota Motor Corporation, Toyota, 471-8571 Japan1
Osaka Institute of Technology, Osaka, 535-8585 Japan1
KU Leuven, ESAT PSI, iMinds, Leuven, Belgium1
Universidad Nacional de San Agustín, Arequipa, Perú1
Computer Science Department, Federal University of Ouro Preto (UFOP), Ouro Preto, Minas Gerais, Brazil1
Institute of Information Science and Technologies, National Research Council, Pisa, Italy1
General Motors Advanced Technical Center, Israel1
Beta Robots, Barcelona, Catalunya, Spain1
Mimetic team, INRIA Rennes, Rennes, France1
Electronics and Communication Engineering Department, Thiagarajar College of Engineering, Madurai, TN 625015 India1
Microsoft Research Asia, Beijing, China. xitang@microsoft.com1
Microsoft Research Asia, Beijing, China. fangwen@microsoft.com1
The Chinese University of Hong Kong. wliu5@ie.cuhk.edu.hk1
Department of Computer Science, Kiel University, Germany1
Computer Science and Engineering Department, IŞIK University, Şile, Turkey1
Pattern Recognition and Machine Intelligence Laboratory, IŞIK University, Şile, Turkey1
National Traffic Safety and Environment Laboratory, Chofu, Tokyo, Japan1
Department of Mechanical Engineering. University of Aveiro, Aveiro, Portugal1
Visual Computing Group, Microsoft Research Asia, Beijing, China. zhoulin@microsoft.com1
Aberdeen University, Aberdeen, United Kingdom1
Department of Computer Science and Engineering, University of Gothenburg, Gothenburg, Sweden1
Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden1
Department of Computer Science and Engineering, HITEC University, Taxila, Pakistan1
Digital Image Processing Laboratory, Department of Computer Science, Islamia College, Peshawar, Pakistan1
LGI2P, Ecole des Mines Ales, Parc Scientifique Georges Besse, 30035 Nimes cedex 1, France1
Department of Psychiatry, University of California, San Francisco, San Francisco, USA1
Department of Physiology, University of California, San Francisco, San Francisco, USA1
Department of Neurology, University of California, San Francisco, San Francisco, USA1
Department of Experimental Psychology, Oxford, UK1
Department of Cognitive Neuroscience, Radboudumc, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands1
Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands1
Karakter Child and Adolescent Psychiatry University Centre, Nijmegen, Netherlands1
Google Inc., USA1
Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), University of Louvain, Louvain-la-Neuve, Belgium1
Signal Processing Lab, EPFL, Lausanne, Switzerland1
Hewlett-Packard Labs, Palo Alto, CA1
Air Force Research Lab, Rome, NY1
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA1
Department of Applied Informatics and Multimedia, Asia University, Tai-Chung, Taiwan1
LM2S Research Laboratory, Charles Delaunay Institute, University of Technology of Troyes, Troyes, France1
École Normale Supérieure, France1
Department of Geography, Chiang Mai University, Chiang Mai, Thailand1
Department of Engineering and the Built Environment, Anglia Ruskin University, Chelmsford, U.K.1
UC Berkley UC Berkley, Berkeley1
University of California, Berkeley, Berkeley1
School of Cognitive Sciences, Institute for Studies in Theoretical Physics and Mathematics, Tehran, Iran1
Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran1
Centrum Wiskunde & Informatica, Science Park, XG Amsterdam, NL1
Dsl—University of Sassari, Italy1
Department of Electronics and Computing and the Electronics and Information Technology Research & Development Center, Universidade Federal do Amazonas, Manaus-AM, CEP, Brazil1
National University of Singapore & SAP Machine Learning, Singapore, Singapore1
Département d’Informatique, Université de Moncton, Moncton, Canada1
LabSIE Laboratory, FPO of Ibn Zohr University, Agadir, Morocco1
LAVETE Laboratory, FST of Hassan 1st University Settat, Settat, Morocco1
Department of Computer Science, Faculty of Computer Science and Information Technology, Putra University, Malaysia1
LIUM, University of Maine1
National Security, Intelligence and Reconnaissance Division (NSID), Defence Science and Technology Organisation (DSTO), Edinburgh, Australia1
TNO and Leiden University, The Netherlands1
TNO Netherlands1
Dept. of Visual and Human Centred Computing, Dundalk Institute of Technology, Dundalk, Co, Louth Ireland1
National ICT Australia, Locked Bag 8001, Canberra, Australia. Email: lars.petersson@nicta.com.au1
Pattern Recognition and Machine Learning Lab, Gachon University, Seongnam, Korea1
National Kaohsiung Marine University1
School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, LA, USA1
School of Electronics Engineering, Kyungpook National University, Republic of Korea1
University of Bolton, Bolton, UK1
Faculty of Information Technology, Barrett Hodgson University, Karachi, Pakistan1
ISIP, University of Luebeck, Luebeck, Germany1
GET Lab, University of Paderborn, Paderborn, Germany1
Veoneer Research, Våraårda, Sweden1
Harvard Medical School, Boston1
Naver Labs, Seongnam, 13561, Korea1
Department of Radioelectronics, Brno University of Technology, Czech Republic1
EBIS, spol. s r.o. & Department of Radioelectronics, Brno University of Technology, Czech Republic1
Instituto de Telecomunicações and Instituto Superior Técnico, Universidade de Lisboa, Portugal1
Department of Computer Science (CPSD), University of Engineering and Technology (UET), Taxila1
Chung-Shan Institute of Science and Technology, Taiwan, ROC1
Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, USA1
Curtin University Department of Mechanical Engineering, Perth, Western Australia 60121
Istituto Italiano di Tecnologia & Università di Verona, Genova, Italy1
Office of Safety Research and Development, Federal Highway Administration, U.S. Department of Transportation, Virginia, USA1
Department of Electrical Engineering, University of New Orleans, New Orleans, LA70148, U.S.A1
Department of Computer Science, University of California, Irvine, USA1
Department of Mathematics, Ewha Womans University, Seoul, Korea1
Xinjiang Vocational and Technical College of Communications, Wulumuqi, People’s Republic of China1
SET Corporation, Arlington, VA, USA1
PRIS Lab of Beijing University of Posts and Telecommunications, Beijing 100876; Chongqing Three Gorges University, Chongqing 404000. E-mail: niexf@tom.com1
Department of Electrical EngineeringComputer Vision Laboratory, Linköping University, Linköping, Sweden1
Engineering Department, Raja University of Qazvin, Iran1
Department of Computer Science and Engineering, International Islamic University Chittagong, Bangladesh1
Computer Vision and Machine Learning Research Group, School of Engineering, University of Central Lancashire, Preston, UK1
Institute of Information Science and Technologies, National Research Council of Italy, Pisa, Italy1
Computer Science Department, University of Illinois at Urbana–Champaign, Champaign, IL, USA1
NERCMS, Computer School of Wuhan University, Wuhan, People’s Republic of China1
Collaborative Innovation Center of Geospatial Technology, Wuhan, People’s Republic of China1
State Key Laboratory of Software Engineering, School of Computer of Wuhan University, Wuhan, People’s Republic of China1
The University of North Carolina at Chapel Hill, Chapel Hill, USA1
Bundeswehr University Munich, Neubiberg, Germany1
Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA1
Microsoft Corporation1
University of Beira Interior1
University of Quebec1
Department of Electrical, Electronic, and System Engineering, (UKM) Universiti Kebangsaan Malaysia, Bangi, Malaysia1
Polytechnic Military Institute, Bp17 Bordje El Bahri Algeria1
Informatics Laboratory of Paris6 (LIP6)1
Escuela de Negocios Gastronomicos, Universidad Panamericana, Aguascalientes, Mexico1
Libera Universit di Bolzano-Bozen, Itally1
Visual Information Analysis and Processing Research Center, Harbin Institute of Technology Shenzhen Graduate School, Xili, Shenzhen, People’s Republic of China1
Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan1
Goethe University, VSI Lab, Frankfurt, Germany1
Computer Vision Research Group, School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia1
University of Rijeka, Faculty of Engineering, Croatia1
Centrum Wiskunde & Informatica (CWI), The Netherlands1
DTIC, Universitat Pompeu Fabra & DCC, Universidad de Chile, Chile1
Futurewei Technologies Inc., USA1
Amazon, USA1
Yahoo, USA1
Barcelona Supercomputing Center (BSC) and Universitat Politècnica de Catalunya1
Barcelona Supercomputing Center (BSC)1
Universidad de Concepción, Department of Electrical Engineering, Concepción, Chile. Email: mfigueroa@die.udec.cl1
LEAD Graduate School and Research Network, University of Tübingen, 72074 Tübingen, Germany1
Department of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany1
SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. Korea1
Institute Charles Delaunay-LM2S-UMR STMR 6279 CNRS, University of Technology of Troyes, France1
Department of Arts and Humanities, College of Business, Arts and Social Sciences, Brunel University London, Uxbridge, UK1
Department of Design, College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UK1
School of Information and Computer Technology Sirindhorn International Institute of Technology, Thammasat University, Thailand1
Sherbrooke University, Sherbrooke, Que´bec, Canada1
Laboratoire MIA, University of La Rochelle, La Rochelle, France1
Universidad de Vigo, Spain1
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada1
University of California, Los Angeles, USA1
School of Information and Communications, Gwangju Institute of Science and Technology, Gwangju, South Korea1
Telecom Division, Centre de Developpement des Technologies Avancees, Algiers, Algeria1
Computer Vision Laboratory, DAP, Universita di Sassari, Alghero 07041, Italy1
University of California, San Diego, San Diego, CA, USA1
Daimler AG Sindelfingen, Germany1
Department of Computer Engineering, Umm Al-Qura University, Mecca, Saudi Arabia1
Department of Psychology, Emory University, Atlanta, GA 30322, USA1
Department of Human-Machine Communication at the Faculty for Electrical-and Information Engineering, Technische Universität München (TUM), Germany phone: +491
Samsung Advanced Institute of Technology, Gyeonggi-do, Korea1
CNRS, Laboratoire d’Informatique de Paris 6, LIP6, Sorbonne Université, Paris, France1
Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany1
Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany1
Departments of Art, Youngstown State University, Youngstown, OH 44555, USA1
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Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan1
University of Leicester, Department of Engineering, UK1
Korea Institute of Industrial Technology, Cheonan, Korea1
CCIA Department, UPV EHU, Computational Intelligence Group, San Sebastian, Spain1
Transportation Active Safety Institute (TASI) and the Department of Computer Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202 USA1
Department of Computer Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA1
Department of Orthopedic Surgery, British Columbia Children’s Hospital, Vancouver, Canada1
Dynamixyz, Rennes, France1
LIFL (UMR CNRS 8022), Institut Mines-Télécom/TELECOM, Lille 1, France1
California State University, Bakersfield, CA, USA1
Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, USA1
Institute for Infocomm Research Agency for Science, Technology and Research (A∗STAR) 1 Fusionopolis Way, #21-01 Connexis (South Tower) Singapore 1386321
Universität Ulm, Ulm, Germany1
Department of Computer Science, Effat University, Jeddah, Saudi Arabia1
Center for Unified Biometrics and Sensors, University at Buffalo, NY, USA. tulyakov@cedar.buffalo.edu1
Tübitak Bilgem İltaren, Ankara, Türkiye1
Dept. of Computer and Communication Systems Eng., Faculty of Engineering, University Putra Malaysia, 43400, Serdang, Selangor, Malaysia1
Department of Computer Science, Faculty of Science, University of Sebha, Sebha Libya1
University of St. Andrews, UK1
Fraunhofer IAIS, Germany1
University of Turin, Turin, Italy1
Dept. of Computer Engineering Kuwait University1
Dept. of Electrical & Computer Engineering, Sultan Qaboos University1
Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3. 10000 Zagreb, Croatia1
Research Center for Informatics, Indonesian Institute of Sciences, Jl. Jend. Gatot Subroto 10, Jakarta, Indonesia1
Clarkson University, Potsdam, New York1
Nokia Bell Labs, Murray Hill, NJ, USA1
UT Austin Computer Science Dept., TX 78712, USA1
Department of Computer Science, Texas State University, San Marcos, USA1
IDscan Biometrics Ltd, London E14 9QD, UK1
University of Valenciennes, Valenciennes, France1
School of Computer Engineering, Hanshin University, Osan, Republic of Korea1
Yokohama National University, Yokohama, Japan1
Hokkai Gakuen University Sapporo, Japan1
Synthetic Perceptive, Emotive and Cognitive Systems - SPECS at Universidad Pompeu Fabra - UPF and Institució Catalana de Recerca i Estudis Avanats - ICREA, Roc Boronat, 138 - 08018 - Barcelona, Spain1
Robotics Brain and Cognitive Sciences Department, Istituto Italiano di Tecnologia - IIT, Via Morego, 30 - 16163 - Genova, Italy1
Department of Advanced Systems Control Engineering, Graduate School of Science and Engineering, Saga University, Saga, Japan1
Johns Hopkins University1
Image and Video System Laboratory, Information Communication University, Korea1
Mobile Intelligent Autonomous Systems, Modelling and Digital Sciences, Council for Scientific and Industrial Research, South Africa1
Toyota Research, Los Altos, CA, USA1
School of Computer ScienceThe University of Adelaide1
Automotive BU, RT-RK Computer-Based Systems LLC, Novi Sad, Serbia1
AT&T Labs Research, Middletown - NJ1
Carnegie Mellon University NASA Research Park #23, Moffett Field, CA 940431
Faculty of Computers and Information, Ain Shams University, Cairo, Egypt1
Psychology at The University of Texas at Austin, 78712, USA1
Université Technologique de Compi`egne, 60200, France1
Computer Science Dept., College of Computing and Information Technology, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, Egypt1
The Wellcome Trust Centre for Neuroimaging, UCL, 12 Queen Square, London WC1N 3BG, UK1
School of Computer Science and Technology, Anhui University of Technology, Ma’anshan, People’s Republic of China1
Department of Advanced Engineering Daimler Trucks, Daimler AG, 70327 Stuttgart-Untertuerkheim, Germany1
Department of Computer Science, University of Freiburg, Germany1
IBM Research - Almaden, San Jose, CA, USA1
UC San Diego, La Jolla, CA, USA1
School of Computer Science and Statistics, Trinity College, Dublin, Ireland1
Dipartimento di Scienze Umane, Università della Basilicata, Italy1
Istituto Nazionale di Geofisica e Vulcanologia, Sez. di Napoli Osservatorio Vesuviano, Italy1
Singapore Polytechnic, 500 Dover Road, Singapore 1396511
UIB – Universitat de les Illes Balears, Palma de Mallorca, Spain1
Department of Image and Information Processing (ITI), Telecom-Bretagne, Brest - France1
Information Directorate, Air Force Research Laboratory, Rome, NY, USA1
Applied Soft Computing Lab, School of Computer Science and Engineering, Korea University of Technology and Education, Republic of Korea1
Applied Statistics Laboratory, San Diego Supercomputer Center, University of California at San Diego, La Jolla, CA, USA1
PerceptIn1
Department of Health Sciences, University of Leicester, UK, LE5 4PW1
Université Paris-Saclay, Orsay, France1
Department of Computer Systems, Universidad Politécnica de Madrid, Madrid, Spain1
Telecom-Lille1, Lille, FRANCE; boulbaba.benamor@telecom-lille1.fr1
THALES Research and Technology, RD 128 91767 Palaiseau, Cedex, FRANCE; johan.dhose@thalesgroup.com1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; chaari@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; mohamed.anouar_mellakh@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; mohsen.ardabilian@liris-edu.eu1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; bernadette.dorizzi@it-sudparis.eu1
Ecole Centrale de Lyon, Lyon, FRANCE; liming.chen@liris-edu.eu1
Laboratoire IBISC-CNRS FRE 2873, Université d'Evry Val d'Essonne, Evry, FRANCE; s.lelandais@iut.unif-evry.fr1
Institut TELECOM, T&M SudParis, 9 Rue Charles Fourrier, Evry, FRANCE; dijana.petrovska@it-sudparis.eu1
Intelligent and Interactive Systems, Institute of Computer Science, University of Innsbruck, Innsbruck, Austria1
Criminal Intelligence Unit, Ohio Bureau of Criminal Identification and Investigation, Youngstown , OH, USA1
Department of Arts, Youngstown State University, Youngstown, OH, USA1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Material Handling and Logistics Systems1
MTA SZTAKI, Institute for Computer Science and Control, Budapest University of Technology, Department of Networked Systems and Services1
National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 6, 1-1-1 Higashi, Ibaraki 305-8566, Japan1
Princeton University &Microsoft, Princeton, NJ, USA1
Microsoft &University of Washington, Redmond, WA, USA1
Dept. de Computación, Universidad Simón Bolívar, Caracas, Venezuela1
University of Balamand, Souk El Ghareb, Lebanon1
University Pau & Pays Adour, LIUPPA, EA3000, Anglet, France1
Center for Research in Intelligent Systems, University of California at Riverside, Riverside, CA, USA1
Department of Computer Science, University of California at Riverside, Riverside, CA, USA1
Robert Bosch GmbH, Abstatt, Germany1
OFFIS, Oldenburg, Germany1
CICATA Querétaro, Instituto Politécnico Nacional, Querétaro, Mexico1
ICMC-USP, São Carlos, São Paulo, Brazil1
Dep. Computer Science and Statistics, IBILCE-UNESP, São José do Rio Preto, São Paulo, Brazil1
Adjunct, Effat University, Jeddah, Saudi Arabia1
Department of Electronics and Communication Engineering, Faculty of Electrical & Electronic Engineering, Khulna University of Engineering & Technology, Bangladesh1
Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), Canberra, Australia1
Centre de Mathématiques et de Leurs Applications, Ecole Normale Supérieure de Cachan1
Center for Visual Computing, Ecole Centrale de Paris, France1
Electrical Engineering and Computer Science, School of Engineering, University of California at Merced, Merced, USA1
Institute of Informatics, University of Szeged Arpád tér 2, 6720 Szeged, Hungary1
Dept. of Electrical and Computer Engineering University of Illinois Urbana-Champaign (UIUC)1
Department of Computer Science and Networked Systems, Sunway University, Subang Jaya, Malaysia1
Electrical and Computer Engineering Department, Faculty of Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman1
Digital Research Center of Sfax, Sfax University, Sfax, Tunisia1
Laboratory of Computer and Embedded Systems, National School of Engineering of Sfax, Sfax University, Sfax, Tunisia1
Department of Computer Science, ETH Zurich, Switzerland1
Department of Electrical Engineering, University of Mohamed Khider, Biskra, Algeria1
University of Sciences and Technology (USTHB) and CERIST, Algiers, Algeria1
Imense Ltd, Cambridge, UK1
Lehrstuhl für Mustererkennung, FAU Erlangen – Nürnberg, Erlangen, Germany1
Department of Computer Science, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil1
University of California at Los Angeles (UCLA), Los Angeles, CA1
Massachusetts Institute of Technology (MIT), Cambridge, MA1
San Diego State University (SDSU), San Diego, CA1
National University if Singapore, Singapore, Singapore1
Weyond, Princeton, NJ, USA1
School of Information and Computer Sciences, University of California at Irvine, Irvine, CA, USA1
CPHHI, King Saud bin Abdulaziz University for Health Sciences, Saudi Arabia1
Department of Electrical Engineering, Universitas International Batam, Indonesia1
University at Buffalo, SUNY, NY 14260, USA1
Department of Business Planning & Information Systems, TEI of Crete, Agios Nikolaos, Greece1
Department of Computer Science and Engineering, University of California, Riverside, CA, USA1
Institute of Computing, University of Campinas – UNICAMP 13083-852, Campinas, SP – Brazil1
Multimedia Information Retrieval Lab Delft University of Technology, Netherlands1
University of Applied Sciences Western Switzerland, Sierre, Switzerland1
Dept. Mathematics and Computer Science, UB, Spain1
VNIT Nagpur-India1
Thapar University Patiala-India1
Manipal University Manipal-India1
Manipal University Jaipur-India1
ABV-IIITM Gwalior - India1
Department of CSE., Northern University. Dhaka, Bangladesh1
Department of ECE, East West University, Dhaka, Bangladesh1
A*STAR, Institute for Infocomm Research, Singapore, Singapore1
CVLab, Aragon Institute for Engineering Research, University of Zaragoza, Spain1
Math Dept, Faculty of Science, Helwan University, Cairo-Egypt1
MIT CSAIL and ETH Zürich, Switzerland1
Dep. Enginyeria Electrònica, C/ Colom 1 08222 Terrassa, UPC-CAMPUS TERRASSA, BARCELONA, SPAIN1
Department of Computer Sciences, Suleyman Demirel University, Almaty, Kazakhstan1
Department of Computational Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea1
Govt. College of Engineering, Amravati India1
INRIA Grenoble-Rhone-Alpes, Cedex1
Southampton University, Southampton, UK1
Department of Psychology, University of Durham, Durham, UK1
Freie Universität Berlin and Fraunhofer Fokus1
Institute for the Management of Information Systems, R.C. Athena1
Comput. Sci., State Univ. of New York, NY, USA1
UMR CNRS 7253, Heudiasyc, Université de Technologie de Compiègne, Compiègne Cedex, France1
Department of Computer Science, IT-Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal1
Bilgisayar Mühendisliği Bölümü, Bilkent Üniversitesi, Ankara, Türkiye1
Council for Scientific and Industrial Research,Pretoria,South Africa1
Université Grenoble Alpes, CNRS, GIPSA-Lab, Grenoble, France1
Université Grenoble Alpes, CNRS, LIG, Grenoble, France1
Département Images et Signal (DIS), GIPSA-Lab, Domaine Universitaire, Grenoble Cedex, France1
Dept. Technology and Nautical Sciences, Aalesund University College, Postboks 1517, N-6025, Norway1
Vision and Image Processing Laboratory, Hanbat National University, Daejeon, South Korea1
SMC Society of IEEE1
Department of Computer, College of Science, Diyala University, Diyala, 32001, Iraq1
Inst. of Information Science, Academia Sinica, Nankang, Taipei, Taiwan1
Department of Electrical and Computer Engineering, Texas A&M University and Monash University, College Station, TX 778431
Mississippi State University, Center for Advanced Vehicular Systems, Starkville, MS, USA1
Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong1
Department of Information Engineering, Chinese University of Hong Kong1
The center for neural computation, Hebrew university of Jerusalem, Israel 919041
Department of Electrical Engineering and Computer Science, Colorado School of Mines, Golden, CO, USA1
School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA1
Department of mechatronic technology of National Taiwan Normal University1
Departamento de Informa´tica, Universidad Carlos III de Madrid, Madrid, Spain1
Autonomous System Laboratory - CSIRO Digital Productivity Flagship - 1, Technology Court, Pullenvale, QLD, 4066, Australia1
Robotics, Systems and Control Program at ETH Zürich, Switzerland1
School of Information Science and Engineering, Changzhou University, Changzhou, People’s Republic of China1
INRIA, WILLOW Project, Laboratoire d'Informatique de l'Ecole Normale Superieure, Paris, France1
Integrated Data Systems Department, Siemens Corporate Research, Princeton, NJ1
School of Computing and Information Systems, University of Melbourne, Melbourne, Australia1
National Institute of Pure and Applied Mathematics, Brazil1
Department of Psychology, University of Milano-Bicocca, Piazza Ateneo Nuovo, 1, 20126 Milano, Italy1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Broadway NSW, Australia1
Computer Science Department, State University of New York, Stony Brook, NY11794-4400, USA. E-MAIL: wbzhang2k@hotmail.com1
Ames HCI Group, Moffett Field1
Schafer Corporation, Arlington1
Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL) , Lausanne, Switzerland1
Department of Electrical Engineering, Universidad de Chile, Santiago, Chile1
College of Computing & Informatics, Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia1
Department of Computer Science, International Islamic University, Islamabad, Pakistan1
Department of Computer Science and Engineering & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Department of Computer Languages and Systems & Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain1
Automatics Research Group, Universidad Tecnológica de Pereira, Pereira, Colombia1
Toyota Technological Institute Chicago, Chicago1
Universitat Politecnica de Catalunya Barcelona, Catalonia/Spain1
Department of Electrical Engineering, The City College of New York, New York, USA1
Université de Lorraine, LORIA, UMR 75031
Institute of Information Science & Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan1
Dept. of Computer Science and Information Engineering, Providence University, Taichung, Taiwan1
Institute of Informatics and Telecommunications, National Center for Scientific Research - “Demokritos”, Athens, Greece1
Los Alamos National Laboratory Los Alamos, NM 87545, USA1
Technical center for the Mechanical Industry (CETIM), Senlis, France1
College of Information Sciences and Technology and the Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA1
Computer Aided Diagnosis and Therapy Solutions, Siemens Medical Solutions, Inc., Malvern, PA1
Department of Computer and Information Science, University of Mississippi, University, MS1
Interdisciplinary Graduate School, Energy Research Institute@NTU, Singapore1
NOVA LINCS, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Caparica, Portugal1
Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia1
Millennium Information Technologies (MIT) Pvt. Ltd., Sri Lanka1
IT - Instituto de Telecomunicações, Instituto Superior Técnico, Lisboa, Portugal1
Google Inc.1
NOAA /NGDC, 325 Broadway, Boulder, CO 803051
Institute for Neuroscience and Muscle Research, The Children’s Hospital at Westmead, Sydney, Australia1
Department of Paediatrics, University of Melbourne, Melbourne, Australia1
Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne, Australia1
Computer Science at the University of Maryland, College Park, MD 207421
Micro and Nano Devices and Materials Branch in the Sensors and Electron Devices Directorate at the US Army Research Laboratory, Adelphi, MD 207831
Neuroscience and Cognitive Science Program at the University of Maryland, College Park1
Swinburne University of Technology Sarawak Campus, Malaysia1
Human Language Technology (HLT) Group, MIT Lincoln Laboratory, Lexington, Massachusetts USA1
Department of Industrial Design, Tatung University, Taipei 104, Republic of China1
Department of Computer Science and Engineering, Tatung University, Taipei 104, Republic of China1
École Polytechnique Fédérale de Lausanne (EPFL), Computer Vision Laboratory, Switzerland1
WillowGarage, Menlo Park, CA, USA1
Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey akarun@boun.edu.tr1
Centrum Wiskunde & Informatica, 1090 GB, Amsterdam, The Netherlands a.a.salah@cwi.nl1
Department of Computer Engineering, Bogaziçi University, Bebek, Istanbul, Turkey hamdi.dibeklioglu@cmpe.boun.edu.tr1
Department of Electronic, Saad Dahleb University, Blida, Algeria1
Orthopaedic Biomechanics, Biomedical Engineering Department, Eindhoven University, Eindhoven, Netherlands1
Department of Mechanical Engineering, University of Sheffield, Sheffield, United Kingdom1
Center for Computational Imaging & Simulation Technologies in Biomedicine, University of Sheffield, Sheffield, United Kingdom1
MPI Informatics, USA1
Center for Development of Advanced Technology, Algiers, Algeria1
Department of Electrical and computer Engineering, Noshirvani University of Technology, Babol, Iran1
Department of Computer Science & Engineering, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India-2476671
Department of Electrical and Computer Engineering, West Virginia University Institute of Technology, Montgomery, USA1
Evatix, Dhaka, Bangladesh1
Thales Electron Devices (TED), Moirans, France1
Department of Audiology and Speech language pathology, Mackay Medical College, New Taipei City, Taiwan1
Department of Biomedical Engineering, National Yang-Ming University, Taipei, Taiwan1
Information and Computing Sciences, Utrecht University, the Netherlands1
Electro-Optics, TNO Defence Security and Safety, The Hague, The Netherlands1
Siemens Healthcare Technology Center, Princeton, USA1
3dMD, Atlanta, Georgia, USA1
Department of Computer Science, Auckland University of Technology, Auckland, New Zealand1
Maritime and Aerial Perception Systems Group, Jet Propulsion Laboratory, Pasadena, CA, USA1
Department of Information Management, Huafan University, Taipei, Taiwan1
Department of Information Management, Huafan University, Taipei, Taiwan. E-MAIL: cytang@cc.hfu.edu.tw1
Yahoo! Research, Haifa, Israel1
Dept. of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Brussels, Belgium and Interuniveristy Microelectronics Center (IMEC), Leuven, Belgium1
Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, Paris, France1
Queensland Institute of Medical Research, Brisbane, Australia1
School of communication and information engineering Shanghai University, Shanghai 200072, China. ypguan@shu.edu.cn1
Department of Electrical and Electronic Engineering, Hasan Kalyoncu University, Gaziantep, Turkey1
School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland1
Limos - CNRS UMR6158 Université Blaise Pascal, Campus des Cézeaux, 63173 Aubière, France1
College of Computer Science and Software Engineering, Auburn University, Auburn, U.S.A.1
Department of Computer and Information Science, University of Oregon, USA1
Gachon University, Gyeonggi-do, South Korea1
Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, 31270-0101
eSmile – Psychology for Children & Adolescents, Ciudad Real, Spain1
MAmI Research Lab, University of Castilla-La Mancha, Ciudad Real, Spain1
Indian Statistical Institute, Kolkata 7001081
Department of Computer Science, POSTECH, Korea. seungjin@postech.ac.kr1
Department of Computer Science, POSTECH, Korea. karma13@postech.ac.kr1
Department of Electronics Engineering and Computer Science, Fukuoka University, Fukuoka, Japan1
Department of Electrical Engineering, Future Institute of Engg. & Mgmt., Sonarpur, Kolkata-700 1501
Department of Information Technology, ABACUS Institute of Engg. & Mgmt., Mogra, Hooghly-712 1481
Departament d’Informàtica, Universitat de Valencia, Valencia, Spain1
School of Information Engineering, Univ. of Science and Technology Beijing, Beijing1
Department of Pediatrics, Eastern Virginia Medical School, Norfolk, VA, USA1
ECE Department, Union College, Schenectady, New York, sadilekt@union.edu1
ECE Department, Union College, Schenectady, New York, cotters@union.edu1
Institut des Systèmes Intelligents et de Robotique, Université Pierre et Marie Curie (Sorbonne Universités), Paris, France1
LIRIS UMR 5205, Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France1
Amazon, Berkshire, U.K.1
Computation-based Science and Technology Research Centre, The Cyprus Institute, Nicosia, Cyprus1
University of Lancaster, Lancaster, United Kingdom1
Deparment of Information Media Technology, School of Information and Telecommuncation Engineering, Tokai University, Japan1
Centre for Quantum Computation and Intelligent Systems, University of Technology at Sydney, Sydney, NSW, Australia1
School of Engineering, Kerbala University, Karbolaa, Iraq1
Toshiba Corporation, Japan1
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy1
The Hong Kong Polytechnic University / Harbin Institute of Technology1
Department of Computer Engineering, EPOKA University, Tirana, Albania1
Research Innovation Center, Canon U.S.A. Inc., San Jose, USA1
Università di Catania, Catania, Italy1
Escola Superior de Tecnologia do IPS, Setúbal, Portugal1
Sapienza Università di Roma, Rome, Italy1
Department of Electrical Engineering, Université de Biskra, Biskra, Algeria1
Dept of Electrical and Computer Engineering, Texas A&M University, College Station, USA1
Information Technology R&D Center, Mitsubishi Electric Corporation, Kamakura, Japan1
Departiment of Informatics Bioengineering Robotics and Systems Engineering, Università degli Studi di Genova, Italy1
Centre de Recherche Cerveau et Cognition, Université Toulouse 3, Centre National de la Recherche Scientifique, Faculté de Médecine de Rangueil, 31062, France1
School of Computer Engineering, Iran University of Science and Technology, Narmak, Iran1
University of Orléans, Orléans, France1
Bilgisayar Mühendisliği Bölümü, MEF Üniversitesi, İstanbul, Türkiye1
Faculty of Engineering and Computing, Coventry University, UK1
Dept. of Theoretical Electrical Engineering, Technical University of Sofia, Sofia, Bulgaria1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology, Sydney, Sydney, NSW 2008, Australia1
Department of Electrical Engineering, Mashhad Branch, Islamic Azad University Mashhad, Iran1
Department of Electrical Engineering, Neyshabur Branch, Islamic Azad University Neyshabur, Iran1
Pontifical Catholic University of Minas Gerais - Department of Computer Science, R. Dom Jose Gaspar, 500, Belo Horizonte MG, 30535901, Brazil1
DSO National Laboratories, Singapore1
Eastman Kodak Company, Rochester, NY, USA1
Le2i FRE2005, CNRS, Arts et Métiers, Univ. Bourgogne Franche-Comté, UTBM, Belfort, France1
ETH Zurich, Zurich, Switzerland; KU Leuven, Leuven, Belgium. vangool@esat.kuleuven.be1
ETH Zurich, Zurich, Switzerland. leibe@vision.ee.ethz.ch1
ETH Zurich, Zurich, Switzerland. aess@vision.ee.ethz.ch1
Defence R&D Canada, Toronto, ON, Canada1
Alexandria High Institute of Engineering and Technology-Egypt. Email: hassanfahmy36@hotmail.com1
School of Information Systems Singapore Management University, Singapore1
School of Information Science and Engineering, Central South University, Changsha, People’s Republic of China1
School of Information Engineering, Xiangtan Universtiy, Xiangtan, People’s Republic of China1
Department of Computer & Software Engineering, Bahria University, Islamabad, Pakistan1
Institute of Infocomm Research, A-STAR Singapore1
Department of Mathematics and Computer Science, Universitat de Barcelona, Barcelona, Spain1
Universitat Politècnica de Catalunya, Vilanova i la Geltrú, Spain1
Fundació Privada Sant Antoni Abat, Vilanova i la Geltrú, Spain1
Technical University, Kaiserslautern, Germany1
Computer Science Department, IT University of Copenhagen, Copenhagen, Denmark1
Department of Creative IT Engineering, POSTECH, Pohang, Korea1
Information and Engineering College, Dalian University, Dalian, P. R. China1
Google Inc., Mountain View1
Adobe Systems Incorporated, San Jose, CA 95110, USA1
Dept. of IT Engineering, SSBT's College of Engineering and Technology, Bhambori, Jalgaon1
Dept. of Information Technology Engineering, MET's Institute of Engineering, Nashik1
Department of Computer Science, University of Toront, Toronto, Canada1
Lab. IGM, Université Paris-Est1
ITI Department Telecom Bretagne, Brest, France1
Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, Tunku Abdul Rahman University College, Wilayah Persekutuan Kuala Lumpur, Malaysia1
Adobe Systems Incorporated, San Jose, CA, 951101
Dept. of Applied Physics and Electronics, Umeå University, SE-901 87 Umeå, Sweden1
The Friedberg Genizah Project, Jerusalem, Israel1
College of Computer and Information Science, Northeastern Unciversity, Boston, USA1
University of N. British Columbia, Prince George, Canada V2N 4Z91
Department of Psychiatry, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands1
ETS, Québec, Canada1
Blida University1
University of Southampton IT Innovation Centre, Southampton, UK1
Information and Communication Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
Visual Information Processing Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea1
Samsung Electronics, Yong-In, Gyeonggi-Do, Korea1
Department of Computer Science and Engineering, POSTECH, Pohang, Korea1
Computer Vision Research Laboratory, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
School of Electrical Engineering, University of Ulsan, Ulsan, Korea1
Laboratory for Computer-Aided Circuit Design, University of Applied Sciences Aschaffenburg, Germany1
Pattern Recognition Lab, Department of Computer Science, University Erlangen-Nuremberg, Germany1
Department of Electrical Engineering, Faculty of Engineering, Aswan University, Egypt1
School of Computer and Communication Engineering, UniMAP, Malaysia1
Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kedah, MALAYSIA1
Department of Computer Science and Engineering, University at Buffalo (SUNY), Buffalo, NY, USA1
VARPA Group, University of A Coruña, Spain1
A*STAR, Singapore / National University of Singapore, Singapore1
National Lab of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, P.R. China1
LETI-EHTP casablanca1
141
131
121
Harvard Medical School , Boston, USA1
Centre de recherche de l’Institut universitaire en santé mentale de Québec, Quebec City, Canada1
Centre interdisciplinaire de recherche en réadaptation et intégration sociale, Quebec City, Canada1
Faculté des sciences sociales, École de psychologie, Pavillon Félix-Antoine-Savard, Université Laval, Quebec City, Canada1
School of Computer Engineering, Sejong University, Seoul, 143-747, Korea1
Dept. of Computer Science, TU Kaiserslautern, Germany1
Department of Computer & Information Science, Norwegian University of Science and Technology, Trondheim, Norway1
Research & Development, British Broadcasting Corporation (BBC), London, UK1
Wide Eyes Technologies1
Department of Surveying Engineering, Technological Educational Institution of Athens, Athens, Greece1
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center for Scientific Research “Demokritos”, Athens, Greece1
Mayo Systems Electrophysiology Laboratory, Departments of Neurology and Biomedical EngineeringMayo Clinic1
EECS Department at UC Berkeley, Berkeley, USA1
Air Force Research Laboratory at Rome, Rome, NY1
Instituto Nacional de Astrofísica, Óptica y Electrónica, Luis Enrique Erro No.1, Tonantzintla, Puebla, México. CP 728401
Team of research IMAGE- GREYC laboratory, université de Caen Basse Normondie, 14000 Caen, France1
Department of Mechanical Engineering, Faculty of Engineering, University of Peradeniya, Sri Lanka1
Department of Statistics and Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka1
Faculty of Environmental Engineering, The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka, 808-0135, Japan1
Graduate School of Informatics and Engineering, University of Electro-Communications, 1-5-1 Chofugaoka, Chofu-shi, Tokyo, 182-8585 Japan1
Karabuk University Turkey, Karabük1
Gaziosmanpaşa University Turkey, Tokat1
Department of Computer Science, Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar, Pakistan1
Omron corporation, Japan1
Department of Electrical Engineering, Beckman Institute of Advanced Science and Technology, Urbana, USA1
The Open University of Japan, Chiba-shi, Japan1
Pontificia Universidad Católica del Perú -- Artificial Intelligence Research Group (IA-PUCP), Lima - Peru1
NVIDIA Research, Santa Clara, CA, USA1
School of Electronics Engineering, Kyungpook National University, Taegu, South Korea1
Department of Software Technology and Methodology, Faculty of Informatics, Eötvös Loránd University, Pázmány Péter sétány 1/C, Budapest H-1117, Hungary1
Chinese University of Hong Kong, Hong Kong, Hong Kong1
Department of Electronic and Telecommunication Engineering, University of Moratuwa, Katubedda, Moratuwa, Sri Lanka1
Division of Computer Engineering, Dongseo University, Busan, Korea1
Department Of Computer Science, TU Dortmund1
Honda Fundamental Research Laboratories, Honda R&D Americas, Inc., USA1
School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
Graduate School of Systems Information Science, Future University Hakodate, Kamedanakano, Hakodate, Hokkaido, Japan1
Boston, USA1
Boston, USA1
School of Cognitive Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran1
Department of Electrical and Computer Engineering, Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran1
University of Porto, Portugal1
Federal Institute of São Paulo, Araraquara, Brazil1
Centre for Quantum Computation and Intelligent Systems, Faculty of Engineering and Information Technology, University of Technology at Sydney, Ultimo, NSW, Australia1
Advanced Technology division, Toyota Motor Europe, Japan1
University of Massachusetts at Amherst, Amherst, MA, USA1
Department of Electrical and Computer Engineering, University of California, Santa Barbara1
Adelaide University, Australia1
LIRIS, Département Mathématiques Informatique, Ecole Centrale de Lyon, Ecully, France1
Albert-Ludwigs-Universität Freiburg, Computer Science Institute, Freiburg, Germany1
Institute of Robotics and Mechatronics, German Aerospace Center (DLR), 82234 Wessling, Germany1
Stetson University, Computer Science1
University of Pretoria, Pretoria, South Africa1
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia1
Computer Vision and Image Understanding Department, Institute for Infocomm Research, Singapore1
School of Medicine Indiana University Indianapolis, IN, United States1
School of Medicine State University of New York Buffalo, NY, United States1
CleverSys. Inc., Isaac Newton Square, Reston, VA 20190, USA fayin.li@gmail.com1
Erciyes University, Engineering Faculty, Computer Engineering Department, 38039 Kayseri, Turkey1
Gazi University, Engineering and Architecture Faculty, Computer Engineering Department, 06570 Ankara, Turkey1
Department of Automation, East China University of Science and Technology, Shanghai, People’s Republic of China1
School of Management, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Engineering Research Center of Optical Instrument and System, Ministry of Education, Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai, People’s Republic of China1
Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Aichi 468-8511, Japan1
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA-100221
Department of Electronics and Instrumentation Engineering, National Institute of Technology Silchar, Silchar, Assam-7880101
Ozyegin University, Istanbul, Turkey1
Federal Institute of Education, Science and Technology of Paraiba -, Esperanca, Brazil1
Computer Science Department, Federal University of Campina Grande, Paraiba, Brazil1
P.P.G. Institute of Technology, Coimbatore1
Department of Information Management, Hwa Hsia University of Technology, New Taipei City, Taiwan1
Department of Electronic Engineering, National Ilan University, Yilan City, Taiwan1
The University of Tokyo & JST PRESTO, Tokyo, Japan1
Cleveland Clinic, Cleveland, OH, USA1
Digital Technology International Group, Perth Airport, Australia1
University of Tokushima, Shinkuracho, 770-8501, Japan1
School of Electrical and Electronic Engineering, UniversitiSains Malaysia, USM Engineering Campus, 14300 NibongTebal, Pulau Pinang, Malaysia1
Institute of Computer Science, FORTH1
School of Software, Nanchang Hangkong University1
Neptec Design Group Ltd, Kanata, Canada1
Department of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, Australia1
Dept. of Comput. Sci., Chicago Univ., IL, USA1
Neptec Design Group Ltd, Kanata, Ontario K2K 1Y5, Canada1
Yahoo Research Labs, Haifa, Israel1
Weizmann Institute, Rehovot, Israel1
Institute of Cognitive and Brain Sciences, University of California, Berkeley, USA1
Computer Science Department, University of California, Los Angeles, USA1
University of Nebraska-Lincoln, Lincoln, USA1
Department of Cognitive Sciences, Education and Cultural Studies, University of Messina, Messina, Italy1
Department of Mathematics, Lahore School of Economics, Lahore, Pakistan1
UTM-IRDA Digital Media Centre, Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Faculty of Computing, University Technology Malaysia, Johor Bahru, Malaysia1
Departments of Cognitive Science and Computer Science, John Hopkins University, Baltimore, MD1
Center for Quantum Computation & Intelligent Systems and the Faculty of Engineering and Information Technology, University of Technology, Sydney, N.S.W., Australia1
Intel Labs Europe, Pipers Way, Swindon1
Visual Computing Group, Microsoft Research Aisa1
Visual Computing Group, Microsoft Research Asia1
DIMAp/UFRN, Natal, Brazil1
Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 028811
Vulcan Inc, Seattle, WA 981041
Umm Al-Qura University, Makkah, Saudi Arabia1
Institute of Information Technology (Comm. Electronics), Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany1
ETS Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040, Madrid1
Academia Sinica, Taiwan1
School of Software, Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia1
Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore1
Department of Information Technology, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore-461
Technological Institute of the Philippines - Manila, Quiapo, Manila Philippines and Lyceum of the Philippines University - Laguna, Calamba City Philippines1
College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia1
National University of Computer and Emerging Sciences, Islamabad, Islamabad, Pakistan1
Department of Radiology, Mount Sinai West, New York, USA1
Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, USA1
Bell Labs, Cambridge, United Kingdom1
School of Electronic, Electrical Engineering and Computer Science, The Queens University, Belfast, Northern Ireland1
Department of Computer Engineering, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia1
Department of Computer Engineering Faculty of Engineering, MUT1
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece1
Department of Health Sciences, University of Leicester, Leicester, Unithed Kingdom1
Physiotherapy Department, Maidstone & Tunbridge Wells NHS TrustTN2 4QJ1
Institute for Information Industry, Taipei City, Taiwan1
Department of Digital Humanities, Aletheia University, New Taipei City, Taiwan1
Raytheon BBN Technologies, Cambridge, MA1
SIANI, Universidad de Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain1
Centrum Wiskunde & Informatica, Amsterdam, Netherlands1
DAUIN, Politecnico di Torino, Turin, Italy1
Department of Science Program, Texas A&M University at Qatar, Doha, Qatar1
Université de Jendouba, Faculté des Sciences Juridiques, Economiques et de Gestion de Jendouba, Tunisia1
Department of Computer Science & Information Engineering, Shu-Te University, Taiwan1
Telecom Division, Centre de Développement des Technologies Avancées, Algiers, Algeria1
Department of Computer Science Faculty of Computers and Information, Mansoura University, Mansoura, Egypt1
Department of Mathematics and Computer Science, University of Missouri-St. Louis, St. Louis, USA1
Department of Statistics, University of Nebraska-Lincoln, Lincoln, USA1
Texas A&M University at Qatar, Doha, Qatar1
Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland1
Department of Computer Engineering, The University of Isfahan, Isfahan, Iran1
Italian Institute of Technology, Milan, Italy1
NPU-VUB Joint AVSP Research lab, Vrije Universiteit Brussel(VUB), Pleinlaan 2, Brussels, 1050, Belgium1
Synthes GmbH, Langendorf, Switzerland1
Computer Aided Medical Procedures (CAMP), TU Munich, Munich, Germany1
ImFusion GmbH, Munich, Germany1
Information and Communication Engineering, Rajshahi University1
LIRE Laboratory, University of Constantine 2, Algeria1
TLSI Department, NTIC faculty, University of Constantine 2, Algeria1
Philips Applied Technologies, Eindhoven, Netherlands1
Philips Research Eindhoven, Eindhoven, Netherlands1
Yahoo Research, Sunnyvale, CA, USA1
Yahoo Research, New York City, NY, USA1
Informatics and Telematics Institute, CERTH, Thessaloniki, Greece1
Department of Informatics, King’s College London, London, UK1
Department of New Media, Korean German Institute of Technology, Korea1
Department of Electrical, IT & Computer Sciences, Qazvin Islamic Azad University, Qazvin, Iran1
Department of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, rbd@ll.mit.edu1
MIT Lincoln Laboratory, 244 Wood St., Lexington MA 02420-9185, tfq@ll.mit.edu1
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Biostatistics & Medical Informatics, and Computer Sciences, Univ. of Wisconsin-Madison, USA1
Haas School of Business, and Industrial Eng. and Operations Research, Univ. of California, Berkeley, USA1
VDG Security B.V., Zoetermeer, The Netherlands1
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Centre of Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan1
Advanced Research Institute, Institute for Information Industry, Taipei, Taiwan1
LAMIA, EA 4540, University of French West Indies and Guyana, Guadeloupe, France1
ISIR, UPMC Univ Paris 06, CNRS, Paris, France1
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System and Computer Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo, Egypt1
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Center for Image and Information, Processing, Xi'an University of Posts and Telecommunications1
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Parrot S.A. 174 quai de Jemmapes, 75010 Paris, France1
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Department of Information Engineering, HeNan Radio and Television University, Zhengzhou, People’s Republic of China1
School of Computer Science and Information Systems, Birkbeck College, London, UK1
CSEE Department, University of Missouri Kansas City, Kansas City, USA1
Department of Psychology, Ohio University, Athens, USA1
Signal Processing Lab (LTS5), École Polytechnique, Fédérale de Lausanne, Switzerland1
Université Grenoble Alpes, Irstea, UR ETGR, St-Martin-d’Hères, France1
Laboratoire Hubert Curien UMR 5516, UJM-Saint-Étienne, CNRS, IOGS, Université de Lyon, Saint-Étienne, France1
Washington University in St. Louis, St. Louis, USA1
Computer Vision and Remote Sensing, Berlin University of Technology, Berlin, Germany1
Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia1
Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Villeurbanne, France1
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University of Nottingham (Malaysia Campus), Malaysia1
ICA Laboratory, Grenoble, France1
Dept. of Radiation Oncology, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA1
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CEA, LIST, Vision and Content Engineering Laboratory, Gif-sur-Yvette, France1
INRIA, Montbonnot, France1
Film Department ELTE University, Budapest, Hungary1
Atos Turkey, Ankara, Turkey1
Army Research Laboratory, Sensors and Electron Devices Directorate1
Nanyang Technological University and Advanced Digital Science Center, Singapore1
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Ascent Robotics, Tokyo, Japan1
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University of Hail, Saudi Arabia1
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Mechatronics Group, Department of Mechanical Engineering, University of Auckland, Auckland, New Zealand1
Commonwealth Scientific and Industrial Research Organization (CSIRO)1
Rakuten Institute of Technology, Singapore 0489461
Weill Cornell Medicine, Center for Autism and the Developing Brain, White Plains, NY1
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Human Language Technology Department, Institute for Infocomm Research, Singapore1
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Vision Laboratory, LARSyS, University of the Algarve, Faro, Portugal1
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Department of Informatics, Modeling, Electronics, and Systems, University of Calabria, Rende, Italy1
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School of Computer Science and Engineering, Kyungpook National University, Daegu, Korea1
Department of Computer Science, University of Kiel, Kiel, Germany1
Computer Science Department 5, University of Erlangen-Nürnberg, Erlangen, Germany1
Department of Mathematics and Computer Science, University of Münster, Münster, Germany1
National Engineering Research Center for Multimedia Software, Computer School of Wuhan Univ.1
National Technical University of Athens & Yahoo! Research, Athens, Greece1
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Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA1
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NVIDIA Research, New York, NY, USA1
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Queen Mary University of London (United Kingdom)1
LG Electronics, Inc., South Korea1
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Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National United University, Miaoli, Taiwan1
Information Technology Department, Cairo University, 5 Ahmed Zewal St., Orman, Giza, Egypt1
Department of Statistics, University of California at Berkeley, Berkeley, USA1
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INAOE, Mexico1
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SunFlare Company, Shinjuku Hirose Bldg, Yotsuya 4-7, Shinjuku-ku, Tokyo, Japan 160-0004, Email: tokuda_n@sunflare.co.jp1
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France Telecom R&D division, 28, Chemin du Vieux Chêne 38243 Meylan, France. e-mail: stefan.duffner@orange-ftgroup.com1
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Department of Electronics and Computer Engineering, Chonnam National University University, Gwangju, Korea1
Institut Pascal, Université Blaise Pascal/CNRS, Clermont-Ferrand, France1
Centre for Vision, Speech and Signal Processing, University of Surrey Guildford, GU2 7XH Surrey, UK. N.Poh@surrey.ac.uk1
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ENSTA ParisTech, 32 Blvd Victor, 70539 Paris Cedex 151
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Center for Behavior Imaging and the School of Interactive Computing at the Georgia Institute of Technology, Atlanta, 30332, USA1
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Dept. of Stat., Carnegie Mellon Univ., Pittsburgh, PA, USA1
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CMLA, ENS Cachan, 61 Av. du Président Wilson, 94235 Cachan CEDEX, France1
VNU University of Science, Vietnam National University, Hanoi, Vietnam1
University of Information and Communication Technology, Thai Nguyen University, Quyet Thang, Thai Nguyen City, Vietnam1
Department of Electronics Engineering and Computer Science, Tung-Fang Design University, Kaohsiung County, Taiwan1
Electrical Engineering Department, Bu-Ali Sina University. Hamedan, Iran1
iMinds Krook.LAB, Ghent, Belgium1
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Université Laval, Québec, Canada1
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Department of Medicine, University of British, Columbia, Canada1
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LEAR, INRIA Grenoble Rhône-Alpes1
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BIWI, ETH Zürich and MPI Informatik, Switzerland1
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Electrical (Power) Engineering Department, Mirpur University of Science and Technology, (AJK), Pakistan1
LMU Munich, Germany and Munich University of Applied Sciences, Germany1
ACM Professional Specialist in Artificial Intelligence1
IT Service, University of Reading, Reading, United Kingdom, RG6 6AY1
Department of Informatics, Universidade Federal do Paraná, Brazil1
System Engineering Research Group, ARKADIUS, Universidad de Medellin, Colombia1
Universidad Nacional de San Juan, Argentina1
School of Electronics, Electrical and Computer Engineering University of Birmingham, UK1
School of EEE, NTU, Singapore1
TUBITAK - UZAY, Ankara, Turkey1
Cairo University, Biomedical Engineering, Cairo, Egypt1
Dept. of Comput. Sci. & Info. Eng., National Yunlin Univ. of Science & Technology, Taiwan1
German Research Center for Artificial Intelligence (DFKI), University of Kaiserslautern, Kaiserslautern, Germany1
Department of Electrical & Computer Engineering Dalhousie University Halifax, Nova Scotia B3J 2X4, Canada1
Computer Vision Research Lab, Electrical Engineering Faculty, Sahand University of Technology, Tabriz, Iran1
Digital Signal Processing Research Lab, Department of Electrical Engineering, Isfahan University of Technology, Iran1
Islamic Azad University of Najaf Abad, Isfahan, Iran1
Kielce University of Technology, Kielce, Poland1
Universität Bielefeld, Bielefeld, Germany1
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Catchoom, Barcelona, Spain1
Free University of Bozen-Bolzano, Bolzano, Italy1
Division of Mechanical Convergence Engineering, Silla University, Busan, 46958, Korea1
National Institute of Informatics, Chiyoda-ku, Japan1
Dept. of Computing, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia. svetha@cs.curtin.edu.au1
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Computer Science Institute VI: Autonomous Intelligent Systems, University Bonn, Bonn, Germany1
Department of Computer Science and the Institute of Research and Continuing Education, Hong Kong Baptist University (HKBU), Hong Kong1
Smart Network System Institute, Institute for Information Industry, Taipei, Taiwan1
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Commonwealth Scientific and Industrial Research Organization, Marsfield, NSW, Australia1
Salvatore Maugeri Foundation, IRCCS, Scientific Institute of Telese Terme (BN), Telese Terme, Italy1
Neuropsychology Laboratory, Department of Psychology, Second University of Naples, Caserta, Italy1
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Department of Computer Science, The State University of New York at Binghamton, Binghamton , NY, USA1
Université Joseph Fourier and INRIA Rhône-Alpes, Grenoble, France1
LE2I Lab, UMR CNRS 6306, University of Burgundy, Dijon, France1
Dept. of Inf. Network Technol., Hsiuping Inst. of Technol., Taichung, Taiwan1
Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece1
Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. sabah.jassim@buckingham.ac.uk1
Department of Applied Computing, University of Buckingham, Buckingham, MK18 1EG, UK. harin.sellahewa@buckingham.ac.uk1
University of California at Los Angeles, Los Angeles1
Yahoo! Research, Haifa1
Alibaba Group, Zhejiang, People’s Republic of China1
DIMACS CORE, Rutgers Univ., Piscataway, NJ, USA1
SONY Electronics Inc., San Jose, CA, 95112, USA1
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Intelligent Vision Research Lab, Federal University of Bahia, Brazil1
University of Burgundy, Le2i, BP 47870 21078 Dijon, France; University of Sfax, CES Laboratory, Tunisia1
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University of Reading, UK1
Robotics and Computer Vision Laboratory, Computer Vision and Machine Learning Research Group, College of Science and Technology, University of Central Lancashire, Preston, UK1
OFFIS - Institute for Information Technology, Oldenburg, Lower-Saxony, Germany1
Dormity.com®, Sant Cugat del Vallès, Spain1
Servei Universitari de Recerca en Fisioteràpia (S.U.R.F), Escola Universitària Gimbernat, Sant Cugat del Vallès, Spain1
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School of Advanced Technology and Science, Tokushima University, Tokushima, 770-8501, Japan1
NOAA /NGDC, 325 Broadway, Boulder, CO 80305, USA1
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Mobile Communications R&D, LG Electronics, Inc., Seoul, Korea1
IOC Research Institute, Universitat Politècnica de Catalunya, Barcelona, Spain1
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Key Laboratory of System Controal and Information Processing, Ministry of Education of China, Shanghai, People’s Republic of China1
TuSimple1
HRL Laboratories, LLC, Malibu, USA1
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Black Cat Science Inc., Boston, MA 02467, United States of America1
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Solid State Scientific Corporation, 27-2 Wright Road, Hollis, NH 03049, United States of America1
Siemens Molecular Imaging Ltd, Oxford, UK1
Center of Excellence in Intelligent Engineering Systems (CEIES) and Electrical & Computer Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia1
IMT Lille Douai, Lille, France1
Reallusion Corporation1
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Computer Engineering Department, University at Albany, State University of New York, Albany, USA1
Computer Science Department, University at Albany, State University of New York, Albany, USA1
Fujitsu Kyushu Network Technologies Limited, Fukuoka, Japan1
Speech Analysis and Interpretation Lab (SAIL), University of Southern California (USC), Los Angeles, USA1
College of Mechanical and Material Engineering, North China University of Technology, Beijing, P.R. China1
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Department of Computer Engineering, Bogaziçi University, Bebek, Turkey1
National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Institute for Applied System Analysis, Kyiv, Ukraine1
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Micrososft Research Asia1
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IBM, Yorktown Heights, NY, USA1
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OMRON Social Solutions Co. Ltd., Japan1
Baidu Research - Institute of Deep Learning, Sunnyvale, USA1
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Los Alamos National Laboratory1
Interacting Minds Centre, Aarhus University, Aarhus C, Denmark1
Department of Human Biology, Faculty of Physiotherapy, University School of Physical Education in Wroclaw, Wroclaw, Poland1
Department of Heart Diseases, Wroclaw Medical University, Wroclaw, Poland1
Polish Academy of Sciences, Unit of Anthropology, Hirszfeld Institute of Immunology and Experimental Therapy, Wroclaw, Poland1
De Montfort University1
Gdańsk University of Technology, Gdansk, Poland1
Electronics Research Laboratory, Volkswagen Group of America, 500 Clipper Dr, Belmont, CA 94002, USA1
Center of HCI for Coexistence, Korea Inst. of Science &Technology, Seoul, Korea, Republic of (South Korea)1
Institute for Media Innovation, Nanyang Technology University, Singapore, Singapore1
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Department of IT and Computer Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran1
Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA1
Ben-Gurion University, Beersheba, Israel1
Orbotech Ltd., Yavne, Israel1
Department of Mathematics, University of Bari Aldo Moro, Bari, Italy1
University of California, Merced, CA, 953441
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Bilgisayar Mühendisliği Bölümü, Yıldız Teknik Üniversitesi, İstanbul, Turkey1
Elektrik ve Elektronik Mühendisliği Bölümü, Boğaziçi Üniversitesi, İstanbul, Turkey1
Information and Communication Technology Research Institute, Tehran, Iran1
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Dakota Consulting, Inc., Silver Spring, USA1
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Department of Electronics and IT Media Engineering, Seoul National University of Science & Technology, Seoul, Korea1
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School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, P.R. China1
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Dip. di Scienze e Metodi dell'Ingegneria, Universitá di Modena e Reggio Emilia, Italia1
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Computer Science Department, University of Jijel, Ouled Aissa, Jijel, Algeria1
Ricoh Company, Ltd., Yokohama, Japan1
Faculty of Computer and Information Sciences, Information Systems Department, Ain Shams University, Cairo, Egypt1
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PDF Report: Unknown Bigrams

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PDF Report: Unknown Terms

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\ No newline at end of file diff --git a/scraper/reports/pdf_unknown_trigram.html b/scraper/reports/pdf_unknown_trigram.html index 7caab5eb..aa4f644e 100644 --- a/scraper/reports/pdf_unknown_trigram.html +++ b/scraper/reports/pdf_unknown_trigram.html @@ -1 +1 @@ -PDF Report: Unknown Trigrams

PDF Report: Unknown Trigrams

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university of wisconsin77
department of engineering76
open access books76
center for research75
of central florida75
computer vision laboratory75
and information technology74
illinois at urbana74
at urbana champaign74
shanghai jiao tong74
follow this and74
this and additional74
and additional works74
children with autism74
detection and tracking74
and signal processing74
the proposed method74
university of pennsylvania74
robust face recognition73
jiao tong university73
individuals with autism73
on the other73
computer vision lab73
new york university72
article was submitted72
conference on computer72
ieee international conference72
we show that72
university of north71
and communication engineering71
have been proposed71
science and information71
facial expression analysis70
of information and70
idiap research institute70
visual question answering69
of electronic engineering69
and computer vision69
and electrical engineering69
paper we propose69
nanyang technological university69
face detection and69
state key laboratory69
of the journal68
degree of doctor68
department of electronic68
international joint conference68
multi target tracking68
individuals with asd68
johns hopkins university68
of this material68
college of computer68
support vector machine68
show that the67
for object detection67
use of this67
journal on image67
in this work66
of wisconsin madison66
to this work66
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face recognition with66
magnetic resonance imaging66
journal of latex66
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latex class files66
terms of use65
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of north carolina64
hal id hal64
of the university64
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department of statistics64
information please contact64
neural networks for64
amsterdam the netherlands64
of intelligent information63
faces in the63
university of edinburgh63
generative adversarial networks63
ming hsuan yang63
xi an china63
national taiwan university62
university of pittsburgh62
more information please62
speech and signal62
in recent years62
version of the62
of the twenty62
pattern analysis and61
for action recognition61
vision and pattern61
journal of advanced60
face recognition based60
deep convolutional neural60
of the proposed60
spectrum disorder asd60
class files vol60
institute carnegie mellon60
the public portal60
most of the59
university of twente59
and engineering university59
information and communication59
of computer vision59
published as conference59
university of adelaide59
in the context59
university of tokyo59
person re identification59
to improve the58
of electronic and58
of the human58
be used for58
face recognition and58
according to the58
research center for58
faculty of computer58
creativecommons org licenses57
some of the57
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of mathematics and57
hal id tel57
ouvertes fr tel57
by an authorized57
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theses and dissertations57
functional magnetic resonance57
zur erlangung des57
sun yat sen57
invariant face recognition57
microsoft research asia56
local binary pattern56
electronics and communication56
works at http56
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additional key words56
key words and56
words and phrases56
yat sen university56
university of florida56
institute of computing55
recognition in the55
author to whom55
accepted for publication55
university of southampton55
in individuals with55
on arti cial55
in real time55
university of massachusetts55
zero shot learning55
the present study54
https hal archives54
hal archives ouvertes54
of machine learning54
the face recognition54
material is permitted54
texas at austin54
gender classi cation54
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university of cambridge53
this is the53
the fact that53
computer engineering department53
authors contributed equally53
cite this article53
citation for published53
supported by the52
xi an jiaotong52
on image and52
electrical computer engineering52
institute of computer52
universit at unchen52
if you believe52
http creativecommons org51
intelligent information processing51
cas beijing china51
of the image51
ouvertes fr hal51
universit degli studi51
classi cation and51
expression recognition using51
for intelligent systems51
face recognition systems51
of the paper51
for real time51
robotics institute carnegie51
universit de montr51
of technology sydney51
th international conference51
in the past50
university of thessaloniki50
www mdpi com50
mdpi com journal50
analysis and machine50
brain and cognitive50
for semantic segmentation50
servers or lists50
for published version50
university of posts50
terms of the49
lab of intelligent49
university shanghai china49
engineering the chinese49
in which the49
school of electronics49
simon fraser university49
https tel archives49
tel archives ouvertes49
equally to this49
for arti cial49
paper under double49
under double blind49
double blind review49
face recognition has49
that the proposed49
it is not49
ieee personal use49
republic of korea49
conference on arti49
of posts and49
in autism spectrum48
an jiaotong university48
and machine intelligence48
on artificial intelligence48
this work for48
faculty of science48
of computing and48
license which permits48
in the same48
vol no august48
university of rochester48
redistribution to servers48
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the graduate school48
seoul national university47
polytechnique ed erale47
erale de lausanne47
in psychology www47
psychology www frontiersin47
of applied sciences47
multi object tracking47
computer graphics and47
object detection and47
of notre dame47
research showcase cmu47
computer engineering university47
support vector machines47
for vision speech47
vision speech and47
of psychology and47
in signal processing47
www tandfonline com47
take down policy47
of electrical computer47
in the public47
of computing technology46
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university of western46
conference on machine46
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well as the46
of new york46
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cial intelligence ijcai46
you believe that46
of the main45
mellon university pittsburgh45
institute for computer45
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mathematics and computer45
university of notre45
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eth zurich switzerland45
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university of colorado44
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local binary patterns44
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university of nottingham43
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tsinghua university beijing43
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work in other43
electrical engineering university43
journal on advances43
component of this43
respect to the43
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the legal requirements43
with these rights43
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multi task learning42
face recognition algorithms42
angeles ca usa42
and face recognition42
http hdl handle42
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differences in the42
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facial emotion recognition42
the author and42
modena and reggio42
in the image42
posts and telecommunications42
degree of master41
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saarland informatics campus41
to deal with41
et al the41
center for excellence41
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science and intelligence41
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journal of information41
conference on artificial41
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material for advertising41
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pattern recognition and41
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or promotional purposes41
university of bonn41
human face recognition40
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this article should40
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of california riverside40
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deep neural network40
used in the40
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new collective works40
collective works for40
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int comput vis40
the eye region40
university of modena40
of modena and40
received may accepted39
recognition of facial39
results suggest that39
at chapel hill39
journal of experimental39
this article has39
correspondence concerning this39
concerning this article39
business media new39
media new york39
on pattern analysis39
tel aviv university39
graphics and vision39
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science core collection39
core collection bkci39
in publishing with39
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or distributed for39
or commercial advantage39
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advantage and that39
erlangung des akademischen39
face recognition under39
face recognition from39
electronics and computer39
university of oulu39
mitsubishi electric research39
for all other39
in other works39
part of this39
song chun zhu39
resale or redistribution39
has not been39
university belfast research39
belfast research portal39
linear discriminant analysis39
and information science39
electrical and electronics38
university of waterloo38
in this chapter38
there has been38
of face images38
we found that38
university of munich38
the th international38
article has been38
by the author38
enti research documents38
ques de niveau38
es ou non38
emanant des etablissements38
des etablissements enseignement38
recherche fran cais38
cais ou etrangers38
ou etrangers des38
etrangers des laboratoires38
of software engineering38
for the purpose38
have shown that38
the world leading38
for object recognition38
university of barcelona38
work was supported38
acm reference format38
digital or hard38
or hard copies38
that copies are38
the main paper38
of the amygdala38
expressions of emotion38
component analysis pca38
this paper presents38
for permissions please38
based on their38
due to its38
computing technology cas37
of arti cial37
carolina at chapel37
com journal sensors37
in the last37
science and software37
for computer graphics37
we are intechopen37
world leading publisher37
built by scientists37
by scientists for37
scientists for scientists37
access books available37
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authors and editors37
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contributors from top37
from top universities37
selection of our37
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in the book37
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based on latest37
on latest data37
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onoma de barcelona37
work for personal37
of michigan ann37
of massachusetts amherst37
faculty of information37
received in revised37
in the present37
and intelligent systems37
prof dr ing37
semi supervised learning37
and arti cial37
information technology and37
automatic facial expression37
et al eurasip37
al eurasip journal37
advertising or promotional37
on face recognition37
peer reviewed version37
abide by the37
of the creative36
technology cas beijing36
automatic face recognition36
in the scene36
submitted for the36
paper we present36
for pedestrian detection36
information engineering the36
for face detection36
and image processing36
face identi cation36
of western australia36
spectrum disorders asd36
electronic and information36
li fei fei36
provided that copies36
we propose novel36
institutes of health36
creating new collective36
reuse of any36
of psychiatry university36
original research article36
this research was36
for ef cient36
refers to the36
watson research center36
these authors contributed36
university of ljubljana36
based image retrieval36
fr ed eric36
other copyright owners36
investigate your claim36
edinburgh research explorer36
under the terms35
university of british35
islamic azad university35
for zero shot35
ministry of education35
york ny usa35
personal or classroom35
de montr eal35
for human pose35
of technology and35
california at berkeley35
any copyrighted component35
recurrent neural networks35
permission from ieee35
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issue of this35
of this journal35
uc san diego35
recognise and abide35
and reggio emilia35
because of the35
published version apa35
and we will35
we will remove35
will remove access35
the work immediately35
rwth aachen university35
of british columbia34
natural language processing34
of experimental psychology34
to the same34
in an image34
saarbr ucken germany34
for visual question34
of computing science34
received january accepted34
in the paper34
michigan ann arbor34
is the author34
allen institute for34
accepted june published34
promotional purposes creating34
contents lists available34
in other words34
stony brook university34
children with asd34
in future issue34
the twenty sixth34
twenty sixth international34
sixth international joint34
center for biometrics33
pattern recognition institute33
received october accepted33
department of brain33
using convolutional neural33
electronics and information33
institute of engineering33
www elsevier com33
northwestern polytechnical university33
national tsing hua33
universitat aut onoma33
hong kong polytechnic33
the full citation33
rale de lausanne33
classi cation using33
the hong kong33
deep learning for33
der technischen universit33
business media llc33
recognition system based33
year of publication33
in the human33
www pnas org33
to the faculty33
institute for infocomm33
all other uses33
human action recognition33
ibm watson research33
features of the33
access to the33
breaches copyright please33
providing details and33
new south wales33
university of sydney32
department of mechanical32
computer science the32
in the presence32
cole polytechnique rale32
neural network for32
vision and image32
university of south32
transactions on pattern32
beihang university beijing32
out of the32
institute of psychology32
department of ece32
the human visual32
accepted january published32
use of the32
structure of the32
image to image32
http www eecs32
lists or reuse32
to this article32
the same time32
of singapore singapore32
philadelphia pa usa32
received september accepted32
multiple object tracking32
of oriented gradients32
role in the32
on image processing32
pose invariant face32
content based image32
dept of ece32
the authors and32
and machine learning32
of the author32
each of the32
science the university31
processing of chinese31
for biometrics and31
biometrics and security31
and facial expression31
university of freiburg31
department of biomedical31
boston ma usa31
amit roy chowdhury31
of advanced computer31
advanced computer science31
recognition has been31
university of houston31
in the form31
components of this31
science and applications31
is permitted permission31
permitted permission from31
obtained for all31
reprinting republishing this31
permissions please email31
from ieee must31
to face recognition31
university of zagreb31
of the visual31
school of software31
link to this31
terms and conditions31
received february accepted31
compared to the31
histogram of oriented31
on the basis31
content in the31
ohio state university31
hidden markov models31
rio de janeiro31
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\ No newline at end of file diff --git a/scraper/reports/stats/geocoded_papers.csv b/scraper/reports/stats/geocoded_papers.csv index 7c1dfae4..80438616 100644 --- a/scraper/reports/stats/geocoded_papers.csv +++ b/scraper/reports/stats/geocoded_papers.csv @@ -1,6 +1,6 @@ ad62c6e17bc39b4dec20d32f6ac667ae42d2c118,A Synchronization Ground Truth for the Jiku Mobile Video Dataset,Institute of Information Technology,Institute of Information Technology,"Institute of Information Technology, Sir Sayed Road, ফকিরাপুল, সিদ্দিক বাজার, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.72898990,90.39826820,edu, ad1f223e83338b0b08779b3736d5a3b7ccfec592,Deep Kinematic Pose Regression,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, -ad1f223e83338b0b08779b3736d5a3b7ccfec592,Deep Kinematic Pose Regression,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +ad1f223e83338b0b08779b3736d5a3b7ccfec592,Deep Kinematic Pose Regression,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, ad1f223e83338b0b08779b3736d5a3b7ccfec592,Deep Kinematic Pose Regression,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, ada13fd37da7a28e74aaed4a413533fa4f4b3b37,Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, adef82b510dd72999bb04e13660c9a77b5abeb4c,Face recognition by fractal transformations,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, @@ -9,14 +9,18 @@ ad9cb522cc257e3c5d7f896fe6a526f6583ce46f,Real-Time Recognition of Facial Express adf423f2a76301e34aed59d4e6d6f5378dcdadb4,A Soft Computing Based Approach for Multi-Accent Classification in IVR Systems,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, ad7e2dd9ce31c2093d5b611372c44654d8d594de,Improving Consistency-Based Semi-Supervised Learning with Weight Averaging,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, ad836360812f87e45795f8345de3bdc6b13add81,Kernelized structural SVM learning for supervised object segmentation,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA" -ada53a115e1551f3fbad3dc5930c1187473a78a4,Efficient Object Category Recognition Using Classemes,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +adf1b20cffb0ab12d20f878d07373efc4c1bc6c4,Image Retagging Using Collaborative Tag Propagation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +ada53a115e1551f3fbad3dc5930c1187473a78a4,Efficient Object Category Recognition Using Classemes,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, ad784332cc37720f03df1c576e442c9c828a587a,Face recognition based on face-specific subspace,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, ad784332cc37720f03df1c576e442c9c828a587a,Face recognition based on face-specific subspace,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, adfe759046982880d500fc56f915ce2d76687656,Periocular Recognition Using CNN Features Off-the-Shelf,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, ad6b23435649d3d88a6b33154b9e6e3e5648a33d,Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, adce9902dca7f4e8a9b9cf6686ec6a7c0f2a0ba6,"Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, adce9902dca7f4e8a9b9cf6686ec6a7c0f2a0ba6,"Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction",University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +adce9902dca7f4e8a9b9cf6686ec6a7c0f2a0ba6,"Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction",China,China,China,35.86166000,104.19539700,edu, ad9ecacca5c28b098096ad0cbd81fe84405924e3,1 Face Recognition by Sparse Representation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +ad9ecacca5c28b098096ad0cbd81fe84405924e3,1 Face Recognition by Sparse Representation,China,China,China,35.86166000,104.19539700,edu, +ada4901e0022b4fdeb9ec3ae26b986199f7ae3be,Human Face Recognition based on Improved PCA Algorithm,China,China,China,35.86166000,104.19539700,edu, ada42b99f882ba69d70fff68c9ccbaff642d5189,Semantic Image Segmentation and Web-Supervised Visual Learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, ad08c97a511091e0f59fc6a383615c0cc704f44a,Towards the improvement of self-service systems via emotional virtual agents,University of Abertay,University of Abertay,"Abertay University, Bell Street, City Centre, Dundee, Dundee City, Scotland, DD1 1HG, UK",56.46323375,-2.97447512,edu, ad08c97a511091e0f59fc6a383615c0cc704f44a,Towards the improvement of self-service systems via emotional virtual agents,University of Abertay,University of Abertay,"Abertay University, Bell Street, City Centre, Dundee, Dundee City, Scotland, DD1 1HG, UK",56.46323375,-2.97447512,edu, @@ -34,19 +38,27 @@ ad8540379884ec03327076b562b63bc47e64a2c7,Bee royalty offspring algorithm for imp adaed4e92c93eb005198e41f87cf079e46050b5a,Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, adaed4e92c93eb005198e41f87cf079e46050b5a,Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, adaed4e92c93eb005198e41f87cf079e46050b5a,Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +ad5c12d2503a2ef66aaf1994403c28795d4e3f89,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, ad5c12d2503a2ef66aaf1994403c28795d4e3f89,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, ad5c12d2503a2ef66aaf1994403c28795d4e3f89,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, ad5c12d2503a2ef66aaf1994403c28795d4e3f89,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, ad0fc3daea914e8025332a24c25dab37f6c55658,A Visual Words Selection Strategy for Pedestrian Detection and Analysis of the Feature Points Distribution,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu, ad0fc3daea914e8025332a24c25dab37f6c55658,A Visual Words Selection Strategy for Pedestrian Detection and Analysis of the Feature Points Distribution,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu, +adaff7ff015b4be77e8c0bdb9d002b614d6e2851,A Hybrid Method for Face Recognition using LLS CLAHE Method,India,India,India,20.59368400,78.96288000,edu, ad8f0b5dd8d89c0b0805a77dc27a9ce22caf6c59,"The computational magic of the ventral stream : sketch of a theory ( and why some deep architectures work ) . December 30 , 2012 DRAFT",McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu, +ad8f0b5dd8d89c0b0805a77dc27a9ce22caf6c59,"The computational magic of the ventral stream : sketch of a theory ( and why some deep architectures work ) . December 30 , 2012 DRAFT",Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, +ad9937ff6c5bff4dae72ca90eddc4dd77751b3fa,FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images,University of Freiburg,"Social Robotics Lab, University of Freiburg, Germany","Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany",47.99354410,7.84594960,edu, ad84f49b2cd1b85a6d7df2304144a093f5b610a8,Learning from Noisy Labels with Deep Neural Networks,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, ad2339c48ad4ffdd6100310dcbb1fb78e72fac98,Video Fill In the Blank Using LR/RL LSTMs with Spatial-Temporal Attentions,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, adaa47752ba813f0a11defa60949f052de6610be,Quantifying and Predicting Image Scenicness,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, adaa47752ba813f0a11defa60949f052de6610be,Quantifying and Predicting Image Scenicness,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, +adc0b5d9f010f8b7d9900fcb1703c3882e340d65,Nasal Oxytocin Treatment Biases Dogs’ Visual Attention and Emotional Response toward Positive Human Facial Expressions,Finland,Finland,Finland,61.92411000,25.74815110,edu, +adc0b5d9f010f8b7d9900fcb1703c3882e340d65,Nasal Oxytocin Treatment Biases Dogs’ Visual Attention and Emotional Response toward Positive Human Facial Expressions,Finland,Finland,Finland,61.92411000,25.74815110,edu, adc0b5d9f010f8b7d9900fcb1703c3882e340d65,Nasal Oxytocin Treatment Biases Dogs’ Visual Attention and Emotional Response toward Positive Human Facial Expressions,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, +adb2d1e241933ef363bcf03d865a9219d2911780,Classification of Age from Facial Features of Humans,India,India,India,20.59368400,78.96288000,edu, ad5d2146a629b786712eb21d4dbfa31394ca07b4,Sputnik Tracker: Having a Companion Improves Robustness of the Tracker,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, ad2cb5c255e555d9767d526721a4c7053fa2ac58,Longitudinal Study of Child Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +ad2cb5c255e555d9767d526721a4c7053fa2ac58,Longitudinal Study of Child Face Recognition,India,India,India,20.59368400,78.96288000,edu, ad2cb5c255e555d9767d526721a4c7053fa2ac58,Longitudinal Study of Child Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, ad467baa4f59d18ed998757bcba3df3c2a753df8,Realtime Multilevel Crowd Tracking Using Reciprocal Velocity Obstacles,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, ad46f1de2001474cce1047d88703f61580c8a5de,Face Recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, @@ -61,10 +73,12 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma 048ff69503ea4937f10f69b1f29f655594253246,Isolating Sources of Disentanglement in Variational Autoencoders,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 04661729f0ff6afe4b4d6223f18d0da1d479accf,From Facial Parts Responses to Face Detection: A Deep Learning Approach,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 04661729f0ff6afe4b4d6223f18d0da1d479accf,From Facial Parts Responses to Face Detection: A Deep Learning Approach,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +040601d28b683c3c8b48b29e93b6aa3c26dbdf5f,"Facial Expression Recognition for Color Images using Gabor , Log Gabor Filters and PCA",India,India,India,20.59368400,78.96288000,edu, +040601d28b683c3c8b48b29e93b6aa3c26dbdf5f,"Facial Expression Recognition for Color Images using Gabor , Log Gabor Filters and PCA",India,India,India,20.59368400,78.96288000,edu, 04c2cda00e5536f4b1508cbd80041e9552880e67,Hipster wars: Discovering elements of fashion styles,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 04c2cda00e5536f4b1508cbd80041e9552880e67,Hipster wars: Discovering elements of fashion styles,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 04b22b008669fa981602c7723b44cb4a5cb2d480,Facial responsiveness of psychopaths to the emotional expressions of others,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu, -043432efc33fb01cc12f11fe8ce411f41b450c16,Mining Object Parts from CNNs via Active Question-Answering,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +043432efc33fb01cc12f11fe8ce411f41b450c16,Mining Object Parts from CNNs via Active Question-Answering,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 046865a5f822346c77e2865668ec014ec3282033,Discovering informative social subgraphs and predicting pairwise relationships from group photos,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 0428b8c6a7bf673dcf5e86805c089ffc12e47217,Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 0428b8c6a7bf673dcf5e86805c089ffc12e47217,Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, @@ -77,6 +91,7 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma 04ff69aa20da4eeccdabbe127e3641b8e6502ec0,Sequential Face Alignment via Person-Specific Modeling in the Wild,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 04ff69aa20da4eeccdabbe127e3641b8e6502ec0,Sequential Face Alignment via Person-Specific Modeling in the Wild,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 04aca8c96971acce8ac4303bf514e83c87e692ce,Title A hand shape recognizer from simple sketches,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +0410659b6a311b281d10e0e44abce9b1c06be462,"A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning",KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 04f0292d9a062634623516edd01d92595f03bd3f,Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 04f0292d9a062634623516edd01d92595f03bd3f,Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 04f0292d9a062634623516edd01d92595f03bd3f,Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, @@ -86,11 +101,16 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma 04ef0b28534cdac18a2059f73ecfe940d6bed277,Non-Linear Stationary Subspace Analysis with Application to Video Classification,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 0480b71244b59ed13cfe844c8bac8883a0c40573,Efficient Second Order Multi-Target Tracking with Exclusion Constraints,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 0480b71244b59ed13cfe844c8bac8883a0c40573,Efficient Second Order Multi-Target Tracking with Exclusion Constraints,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +0422a9bc1bde71d3b4fc4f52b4a62b15f2fb101f,A Customized Vision System for Tracking Humans Wearing Reflective Safety Clothing from Industrial Vehicles and Machinery,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 049d93ca5b69431aedc2cf2acd89cbc40aea158d,Two Dimensional Visual Tracking in Construction Scenarios,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, +04741341e26bdcd9ed1de18e5a95c31d7b64fa36,Adversarial Action Prediction Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +04d9abdae728f09e1d1f78e36a5de551c3a690f5,Color Local Texture Features Based Face Recognition,India,India,India,20.59368400,78.96288000,edu, +04d9abdae728f09e1d1f78e36a5de551c3a690f5,Color Local Texture Features Based Face Recognition,India,India,India,20.59368400,78.96288000,edu, 0443b7a4372fb7bdcd69a0b55945f937c8b7d35b,Semi-supervised Coupled Dictionary Learning for Person Re-identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, -0443b7a4372fb7bdcd69a0b55945f937c8b7d35b,Semi-supervised Coupled Dictionary Learning for Person Re-identification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +0443b7a4372fb7bdcd69a0b55945f937c8b7d35b,Semi-supervised Coupled Dictionary Learning for Person Re-identification,"University of Technology, Sydney","University of Technology, Sydney, Australia","15 Broadway, Ultimo NSW 2007, Australia",-33.88323760,151.20049420,edu, 04d63b8686a0cd3f7cb45d6cf0729d54615cf10a,Hybrid Generative-Discriminative Visual Categorization,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 04eda7eee3e0282de50e54554f50870dd17defa1,How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +0435a34e93b8dda459de49b499dd71dbb478dc18,"VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks",India,India,India,20.59368400,78.96288000,edu, 04b2cddc8e04a02d685d6476f00d0d25d4dd5e72,The Scope and Limits of Simulation in Cognitive Models,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 04b2cddc8e04a02d685d6476f00d0d25d4dd5e72,The Scope and Limits of Simulation in Cognitive Models,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 041d854a835815e5be740332c047576804bd166d,Boosting algorithms for detector cascade learning,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, @@ -99,35 +119,49 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma 04afeae3eb05f7be342476ebf241108f200070a4,Audio-visual Convolutive Blind Source Separation,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 04e71c050a80fe3a594192ba14cb3a011b44b68e,Load Balanced GANs for Multi-view Face Image Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 04e06481e455c6eb838c22e8505dafc01b7d0cfa,L1 regularized projection pursuit for additive model learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +04e06481e455c6eb838c22e8505dafc01b7d0cfa,L1 regularized projection pursuit for additive model learning,China,China,China,35.86166000,104.19539700,edu, 04a20f9513a93f034e3aac7a415b537c27c05695,Diffeomorphic Statistical Shape Models,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 04be04189fe77a3bbd108b8c0ef78d63b0bd5118,EDeN: Ensemble of Deep Networks for Vehicle Classification,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, +0486214fb58ee9a04edfe7d6a74c6d0f661a7668,Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 0486214fb58ee9a04edfe7d6a74c6d0f661a7668,Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 04df36ea27f14f96bb1b33d76103d1dee7c6e0ca,Blur invariant pattern recognition and registration in the Fourier domain,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +0419726a00e16ea89868792ca94f5b1b262c5597,An analytical formulation of global occlusion reasoning for multi-target tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 0419726a00e16ea89868792ca94f5b1b262c5597,An analytical formulation of global occlusion reasoning for multi-target tracking,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 04c96e9b3b7ff1e293aa4a650ce4b49ebf7bd5d6,Tracking with local spatio-temporal motion patterns in extremely crowded scenes,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu, +04adf2e51df06a03b6decf520b0952a54a538a18,Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 043e7a08398b1d634fa2bf3ddb81942686effb30,Improved 3D Model Search for Facial Feature Location and Pose Estimation in 2D images,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 04964e2697778dc843671c7764f0f912e46991ca,Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, +04afb510e11e963fb18e3271ac966164db806120,Harvesting Social Images for Bi-Concept Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +04afb510e11e963fb18e3271ac966164db806120,Harvesting Social Images for Bi-Concept Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 047cd38ebf2ce7eeb885f654ed64d405a0421fab,Face detection using statistical and multi-resolution texture features Manian and Ross 1 Face Detection Using Statistical and Multi-Resolution Texture Features,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, +04f55f81bbd879773e2b8df9c6b7c1d324bc72d8,Multi-view Face Analysis Based on Gabor Features,China,China,China,35.86166000,104.19539700,edu, 040ab6a70bef710b61e3b6a183c2d81947ac8f88,"Database of Natural , Dyadic Conversations",Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, +04b4c779b43b830220bf938223f685d1057368e9,Video retrieval based on deep convolutional neural network,China,China,China,35.86166000,104.19539700,edu, +04b4c779b43b830220bf938223f685d1057368e9,Video retrieval based on deep convolutional neural network,China,China,China,35.86166000,104.19539700,edu, 044e0d86e2db70d4c0b767bf0994913e90e105e3,Answer-Type Prediction for Visual Question Answering,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 9ded7bd7ee896de568cbb0281ec553c21de93131,Face recognition using a novel image representation scheme and multi-scale local features,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, 9ded7bd7ee896de568cbb0281ec553c21de93131,Face recognition using a novel image representation scheme and multi-scale local features,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, 9ded7bd7ee896de568cbb0281ec553c21de93131,Face recognition using a novel image representation scheme and multi-scale local features,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, 9d5ec256ee5a6ee2d9602f651e88132f2669f690,A novel M-estimator for robust PCA,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 9d5ec256ee5a6ee2d9602f651e88132f2669f690,A novel M-estimator for robust PCA,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, +9d757c0fede931b1c6ac344f67767533043cba14,Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms,India,India,India,20.59368400,78.96288000,edu, +9d757c0fede931b1c6ac344f67767533043cba14,Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms,India,India,India,20.59368400,78.96288000,edu, 9d7b2d1f3d6705bc8a4656fa27fb6dde20033f25,A discriminative key pose sequence model for recognizing human interactions,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 9d66de2a59ec20ca00a618481498a5320ad38481,POP: Privacy-Preserving Outsourced Photo Sharing and Searching for Mobile Devices,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 9d66de2a59ec20ca00a618481498a5320ad38481,POP: Privacy-Preserving Outsourced Photo Sharing and Searching for Mobile Devices,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu, +9dd227edfeb472076346cbe2c49811d1778a43a8,Domain-Invariant Projection Learning for Zero-Shot Recognition,China,China,China,35.86166000,104.19539700,edu, 9dd227edfeb472076346cbe2c49811d1778a43a8,Domain-Invariant Projection Learning for Zero-Shot Recognition,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 9d146936d7d06622e271764c8a050a92bc168f3c,GAD: General Activity Detection for Fast Clustering on Large Data.,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 9d3472849dc2cadf194ae29adbf46bdda861d8b7,Learning to Ask: Neural Question Generation for Reading Comprehension,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 9d3472849dc2cadf194ae29adbf46bdda861d8b7,Learning to Ask: Neural Question Generation for Reading Comprehension,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 9d6c5dc5b212d8a8e94e7c52b0a2e4550aa2e117,Eye tracking studies of normative and atypical development q,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, +9d61b0beb3c5903fc3032655dc0fd834ec0b2af3,Learning a Locality Preserving Subspace for Visual Recognition,China,China,China,35.86166000,104.19539700,edu, 9d61b0beb3c5903fc3032655dc0fd834ec0b2af3,Learning a Locality Preserving Subspace for Visual Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad,ImagineNet : Style Transfer from Fine Art to Graphical User Interfaces,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad,ImagineNet : Style Transfer from Fine Art to Graphical User Interfaces,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 9d62a78b006b09fe8f20eb7cb72e2b542cb5fbad,ImagineNet : Style Transfer from Fine Art to Graphical User Interfaces,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 9d1512cec2cddf707f4a82c6781c4cd7de6c1ed6,"Predicting the Location of ""interactees"" in Novel Human-Object Interactions",University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +9d9d496565c68a2d0ba5026aa527215ac5f82e23,Generating Discriminating Cartoon Faces Using Interacting Snakes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9d4ebcd84c4ba2241cca3242e22888558b62a0e0,Demonstration of Santoku: Optimizing Machine Learning over Normalized Data,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 9d083a1aaad04641d0757ba21eaad1a60d5cafe0,Quantifying the Impact of User Attention on Fair Group Representation in Ranked Lists,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 9ded64e83d3ba51513ea00de27c0c770a02b0cf4,Image Classification using Transfer Learning from Siamese Networks based on Text Metadata Similarity,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -145,6 +179,7 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma 9dd47158cd7ee3725be3aa7a2ce9b25a7d4aed74,Clustering-driven Deep Embedding with Pairwise Constraints,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 9dd47158cd7ee3725be3aa7a2ce9b25a7d4aed74,Clustering-driven Deep Embedding with Pairwise Constraints,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu, 9dd47158cd7ee3725be3aa7a2ce9b25a7d4aed74,Clustering-driven Deep Embedding with Pairwise Constraints,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, +9d4c05c7c9284c8e303641b95e997f11df2dd1a7,Misalignment-robust Face Recognition via Efficient Locality-constrained Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9d55ec73cab779403cd933e6eb557fb04892b634,Kernel principal component analysis network for image classification,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 9db7af606e6eb6238ca900145c8270245e9d2959,PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 9db7af606e6eb6238ca900145c8270245e9d2959,PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, @@ -164,6 +199,7 @@ add50a7d882eb38e35fe70d11cb40b1f0059c96f,High-fidelity Pose and Expression Norma 9d7a3a47fe012fd78aa0291a672276affd0c6e67,Semantic Parsing of Large-Scale Indoor Spaces,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 9d7a3a47fe012fd78aa0291a672276affd0c6e67,Semantic Parsing of Large-Scale Indoor Spaces,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 9d7a3a47fe012fd78aa0291a672276affd0c6e67,Semantic Parsing of Large-Scale Indoor Spaces,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +9da9ee38d5845d39497b10b0ab442580e75ee4d3,Dynamic Video Segmentation Network,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9d4c467adc09fb50c5e799fc124f3e82da8c3c22,Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 9d4c467adc09fb50c5e799fc124f3e82da8c3c22,Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 9d6e60d49e92361f8f558013065dfa67043dd337,Applications of Computational Geometry and Computer Vision,Central Washington University,Central Washington University,"Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA",47.00646895,-120.53673040,edu, @@ -174,10 +210,11 @@ c2a1f436eff1c1607634d55db064814e922eb6b1,Can you make morphometrics work when yo c2d054f0d7f455d94f1d92959e0e549443977c55,SdcNet: A Computation-Efficient CNN for Object Recognition,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, c2d054f0d7f455d94f1d92959e0e549443977c55,SdcNet: A Computation-Efficient CNN for Object Recognition,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, c2b3bf311a9182b1452f5ade82fb6db6263e2ddc,Metric Learning-based Generative Adversarial Network,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +c2b3bf311a9182b1452f5ade82fb6db6263e2ddc,Metric Learning-based Generative Adversarial Network,China,China,China,35.86166000,104.19539700,edu, c2e03efd8c5217188ab685e73cc2e52c54835d1a,Deep tree-structured face: A unified representation for multi-task facial biometrics,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, -c280c95c17194de83e5234cca3586cd567ecd47c,Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +c280c95c17194de83e5234cca3586cd567ecd47c,Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, c2be88c6d99605abca7a7377935c8809eb8d328e,Open Set Chinese Character Recognition using Multi-typed Attributes,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, -c2021ac068c23ba6a5360312fbfa0c0d2cfb47fd,Multi-modal fusion for flasher detection in a mobile video chat application,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +c2021ac068c23ba6a5360312fbfa0c0d2cfb47fd,Multi-modal fusion for flasher detection in a mobile video chat application,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, c232d4989ad1bd9ee19d8309cf0fdec2a5c3895f,Point-Triplet Descriptors for 3D Facial Landmark Localisation,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, c2c5206f6a539b02f5d5a19bdb3a90584f7e6ba4,Affective computing: a review,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, c22df6df55f5c6539e1a4d2e2d50dbaab34007a7,Compact Binary Patterns (CBP) with Multiple Patch Classifiers for Fast and Accurate Face Recognition,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, @@ -189,20 +226,29 @@ c23153aade9be0c941390909c5d1aad8924821db,Efficient and Accurate Tracking for Fac c2fa83e8a428c03c74148d91f60468089b80c328,Optimal Mean Robust Principal Component Analysis,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, c2fafcbbf334447e8e3a18a2339eaff63ed2b4e3,Gamma Activation in Young People with Autism Spectrum Disorders and Typically-Developing Controls When Viewing Emotions on Faces,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, c2fafcbbf334447e8e3a18a2339eaff63ed2b4e3,Gamma Activation in Young People with Autism Spectrum Disorders and Typically-Developing Controls When Viewing Emotions on Faces,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +c22aa66b2fad7ed31252b5e6276a0df371c57b4c,The neural network image captioning model based on adversarial training,Russia,Russia,Russia,61.52401000,105.31875600,edu, c29ca739fa740b3155c755655d590582305ef9a8,Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, c28461e266fe0f03c0f9a9525a266aa3050229f0,Automatic Detection of Facial Feature Points via HOGs and Geometric Prior Models,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu, c2c058afe227f2099aae4f204688b22239d6837a,Threatening faces fail to guide attention for adults with autistic-like traits.,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, c2c058afe227f2099aae4f204688b22239d6837a,Threatening faces fail to guide attention for adults with autistic-like traits.,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +c2d065bc8067384c40b3e8146cadc9a0c4c1d633,SLC25A12 expression is associated with neurite outgrowth and is upregulated in the prefrontal cortex of autistic subjects,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, c2af954c89972a716968f97a67cc3841290937d3,DERIVATIVE VARIATION PATTERN FOR ILLUMINATION-INVARIANT IMAGE REPRESENTATION,Tafresh University,Tafresh University,"دانشگاه تفرش, پاسداران, خرازان, بخش مرکزی, شهرستان تفرش, استان مرکزی, ‏ایران‎",34.68092465,50.05341352,edu, c2af954c89972a716968f97a67cc3841290937d3,DERIVATIVE VARIATION PATTERN FOR ILLUMINATION-INVARIANT IMAGE REPRESENTATION,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +c220f457ad0b28886f8b3ef41f012dd0236cd91a,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +c220f457ad0b28886f8b3ef41f012dd0236cd91a,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +c220f457ad0b28886f8b3ef41f012dd0236cd91a,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, c28745625f048d86f2ad0f38a41ddc0683d36a96,"Looking, seeing and believing in autism: Eye movements reveal how subtle cognitive processing differences impact in the social domain.",University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, c28745625f048d86f2ad0f38a41ddc0683d36a96,"Looking, seeing and believing in autism: Eye movements reveal how subtle cognitive processing differences impact in the social domain.",University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, c2d102743e265d1b7c6073b087d030425786deb9,TIME-VARYING-GEOMETRY OBJECT SURVEILLANCE USING A MULTI-CAMERA ACTIVE-VISION SYSTEM,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +c238f871c029d8c33949f8410f8cf3bf79ffc102,No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, c253694c153cc016d745df089bae0220e7f297ee,Image Retrieval with Mixed Initiative and Multimodal Feedback,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, c268c0d62eac349468f786ac50342213ef7865e0,Visual Motif Discovery via First-Person Vision,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, c268c0d62eac349468f786ac50342213ef7865e0,Visual Motif Discovery via First-Person Vision,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, c2148f81ffffeaff3fed49448fa5485f65917865,Micro-Attention for Micro-Expression recognition,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +c2148f81ffffeaff3fed49448fa5485f65917865,Micro-Attention for Micro-Expression recognition,China,China,China,35.86166000,104.19539700,edu, c2148f81ffffeaff3fed49448fa5485f65917865,Micro-Attention for Micro-Expression recognition,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu, +c2148f81ffffeaff3fed49448fa5485f65917865,Micro-Attention for Micro-Expression recognition,China,China,China,35.86166000,104.19539700,edu, +c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image Deblurring and Super-Resolution,China,China,China,35.86166000,104.19539700,edu, c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image Deblurring and Super-Resolution,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 3faedba96bd6b72c6669bdcb82ae0788cdcb3a43,A Study of Identification Performance of Facial Regions from CCTV Images,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 3feb69531653e83d0986a0643e4a6210a088e3e5,Using Group Prior to Identify People in Consumer Images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -212,12 +258,14 @@ c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image De 3f5741b49573122d278d1bff416ec34e1067a75a,A systemic approach to automatic metadata extraction from multimedia content,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu, 3f623bb0c9c766a5ac612df248f4a59288e4d29f,"Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data",Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, 3fde656343d3fd4223e08e0bc835552bff4bda40,Character Identification Using Graph Matching Algorithm,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +3fde656343d3fd4223e08e0bc835552bff4bda40,Character Identification Using Graph Matching Algorithm,India,India,India,20.59368400,78.96288000,edu, 3f4684674d2f62e24b46140e2c5df29d061ffea1,Deep Ordinal Regression Network for Monocular Depth Estimation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 3f4684674d2f62e24b46140e2c5df29d061ffea1,Deep Ordinal Regression Network for Monocular Depth Estimation,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 3f4684674d2f62e24b46140e2c5df29d061ffea1,Deep Ordinal Regression Network for Monocular Depth Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3f4ba94a2964e62c52e7f283bea764ac19cffd40,A master-slave approach for object detection and matching with fixed and mobile cameras,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 3f4cc476cad942c80ac3fe26ebc6813f4f3ba9f0,Toward a Data Analysis Grid for Biometrics Research,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 3f2dbb34932edcb69295e57d4b8d6a8f68e28df4,Real-Time Compressive Tracking,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +3f14b504c2b37a0e8119fbda0eff52efb2eb2461,Joint Facial Action Unit Detection and Feature Fusion: A Multi-Conditional Learning Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3f221547a4382a26208c5e76366a3cbcdfe6d90e,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 3f221547a4382a26208c5e76366a3cbcdfe6d90e,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 3f221547a4382a26208c5e76366a3cbcdfe6d90e,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, @@ -226,18 +274,23 @@ c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image De 3f0c51989c516a7c5dee7dec4d7fb474ae6c28d9,Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 3f7cf52fb5bf7b622dce17bb9dfe747ce4a65b96,Person Identity Label Propagation in Stereo Videos,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 3f688723fb984bce9b60329f8f1ec3346be7f7e3,"Patterns of eye-movements when Male and Female observers judge female attractiveness , body fat and waist-to-hip ratio",University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +3f688723fb984bce9b60329f8f1ec3346be7f7e3,"Patterns of eye-movements when Male and Female observers judge female attractiveness , body fat and waist-to-hip ratio",Finland,Finland,Finland,61.92411000,25.74815110,edu, 3f688723fb984bce9b60329f8f1ec3346be7f7e3,"Patterns of eye-movements when Male and Female observers judge female attractiveness , body fat and waist-to-hip ratio",Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu, 3ff4784d3f28c87f41c82ed9778c8c919b486cd4,Neural Baby Talk,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 3fee5c6343c969f33a7db4c7f7da1e152effd911,Patterns of fixation during face recognition: Differences in autism across age.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 3fee5c6343c969f33a7db4c7f7da1e152effd911,Patterns of fixation during face recognition: Differences in autism across age.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +3fee5c6343c969f33a7db4c7f7da1e152effd911,Patterns of fixation during face recognition: Differences in autism across age.,Pennsylvania State University,Pennsylvania State University,,,,edu, 3fee5c6343c969f33a7db4c7f7da1e152effd911,Patterns of fixation during face recognition: Differences in autism across age.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +3fee5c6343c969f33a7db4c7f7da1e152effd911,Patterns of fixation during face recognition: Differences in autism across age.,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, 3fe3f30ee1211f8936274b46a9a5a5b856234c19,Object Detection Meets Knowledge Graphs,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, 3f9ca2526013e358cd8caeb66a3d7161f5507cbc,Improving Sparse Representation-Based Classification Using Local Principal Component Analysis,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, 3f42db34a79cf600b416a246ad3fd146a4afbdf4,Context-Sensitive Decision Forests for Object Detection,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, +3f42db34a79cf600b416a246ad3fd146a4afbdf4,Context-Sensitive Decision Forests for Object Detection,"Microsoft Research Cambridge, UK","Microsoft Research Cambridge, UK","21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,edu, 3f8b082c10561edd3ffc5d67a3d675cfdff6d94c,Information Bottleneck Learning Using Privileged Information for Visual Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, 3fe4109ded039ac9d58eb9f5baa5327af30ad8b6,Spatio-Temporal GrabCut human segmentation for face and pose recovery,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 3f0f97d8256c6fe22a346bc54f8df67f6f674f22,Through-Wall Human Pose Estimation Using Radio Signals,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 3f3a483402a3a2b800cf2c86506a37f6ef1a5332,DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +3f3a483402a3a2b800cf2c86506a37f6ef1a5332,DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 3f3a483402a3a2b800cf2c86506a37f6ef1a5332,DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 3f540faf85e1f8de6ce04fb37e556700b67e4ad3,Face Verification with Multi-Task and Multi-Scale Feature Fusion,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 3fb054dbdff35b7ac3940c167e7292c7646e1ad9,Dictionary Learning and Sparse Coding on Statistical Manifolds,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, @@ -254,10 +307,15 @@ c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image De 3fdfd6fa7a1cc9142de1f53e4ac7c2a7ac64c2e3,Intensity-Depth Face Alignment Using Cascade Shape Regression,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 3fdfd6fa7a1cc9142de1f53e4ac7c2a7ac64c2e3,Intensity-Depth Face Alignment Using Cascade Shape Regression,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 3f4377109a92cf4e422b7e2ae95ef3144323ea72,Bridging the Gap Between Synthetic and Real Data,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +3f4377109a92cf4e422b7e2ae95ef3144323ea72,Bridging the Gap Between Synthetic and Real Data,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 3f6474bc611ec790444ffa6e644a258f3d2aed37,Variational Capsules for Image Analysis and Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +3f6474bc611ec790444ffa6e644a258f3d2aed37,Variational Capsules for Image Analysis and Synthesis,China,China,China,35.86166000,104.19539700,edu, +3f6474bc611ec790444ffa6e644a258f3d2aed37,Variational Capsules for Image Analysis and Synthesis,China,China,China,35.86166000,104.19539700,edu, +3f6474bc611ec790444ffa6e644a258f3d2aed37,Variational Capsules for Image Analysis and Synthesis,China,China,China,35.86166000,104.19539700,edu, 3fb26f3abcf0d287243646426cd5ddeee33624d4,Joint Training of Cascaded CNN for Face Detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 3f0126f467802562505d5f551dfb6bd138180268,Occluded Pedestrian Detection Through Guided Attention in CNNs,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 3f0126f467802562505d5f551dfb6bd138180268,Occluded Pedestrian Detection Through Guided Attention in CNNs,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +3fb689c0f1db224d53d9fdaee578d3ff8522f807,"Integrating Motion, Illumination, and Structure in Video Sequences with Applications in Illumination-Invariant Tracking",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3f9f5a8966c035dc179a60c042b160aee2bf8f53,Deep Second-Order Siamese Network for Pedestrian Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 3f9f5a8966c035dc179a60c042b160aee2bf8f53,Deep Second-Order Siamese Network for Pedestrian Re-identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 3f19995932abbee5dacde0c31b78fb182712f610,Applying Deep Learning to Basketball Trajectories,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, @@ -266,19 +324,27 @@ c2d7bc19196dd4a7ed1a08d60081d16e0c14f463,Gated Fusion Network for Joint Image De 3fefc856a47726d19a9f1441168480cee6e9f5bb,Perceptually Valid Dynamics for Smiles and Blinks,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3fefc856a47726d19a9f1441168480cee6e9f5bb,Perceptually Valid Dynamics for Smiles and Blinks,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3f4798c7701da044bdb7feb61ebdbd1d53df5cfe,Vector quantization with constrained likelihood for face recognition,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, -3f3ce530fe7e75c648b6959980008b0b1f99727a,Multi-Instance Visual-Semantic Embedding,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +3f3ce530fe7e75c648b6959980008b0b1f99727a,Multi-Instance Visual-Semantic Embedding,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 3f4c262d836b2867a53eefb959057350bf7219c9,Recognizing Faces under Facial Expression Variations and Partial Occlusions,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, 3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,"Dr. B. C. Roy Engineering College, India",Dr. B. C. Roy Engineering College,"Dr. B. C. Roy Engineering College, Lenin Sarani, Durgapur, Bānkurā, West Bengal, 713200, India",23.54409755,87.34269707,edu, +3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,India,India,India,20.59368400,78.96288000,edu, 3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,"National Institute of Technology, Rourkela",National Institute of Technology Rourkela,"National Institute of Technology, inside the department, Koel Nagar, Rourkela, Sundargarh, Odisha, 769002, India",22.25015890,84.90668557,edu, +3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,India,India,India,20.59368400,78.96288000,edu, 3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu, +3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,India,India,India,20.59368400,78.96288000,edu, 3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +3f4bfa4e3655ef392eb5ad609d31c05f29826b45,Robust multi-camera view face recognition,India,India,India,20.59368400,78.96288000,edu, 3f5e8f884e71310d7d5571bd98e5a049b8175075,Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +3fbd68d1268922ee50c92b28bd23ca6669ff87e5,A shape- and texture-based enhanced Fisher classifier for face recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +3f40c1d8c2fe5d416ffca93049d3f3539fb52079,Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, e5b4700a615cde23b91be3eadf1c99642cd33e42,Joint Learning for Attribute-Consistent Person Re-Identification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, e58dd160a76349d46f881bd6ddbc2921f08d1050,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" e58dd160a76349d46f881bd6ddbc2921f08d1050,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" e58dd160a76349d46f881bd6ddbc2921f08d1050,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" e58dd160a76349d46f881bd6ddbc2921f08d1050,Merge or Not? Learning to Group Faces via Imitation Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, e5fbffd3449a2bfe0acb4ec339a19f5b88fff783,Self-supervised learning of a facial attribute embedding from video,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +e5fbffd3449a2bfe0acb4ec339a19f5b88fff783,Self-supervised learning of a facial attribute embedding from video,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, +e597aca96ea1c928f13d15b7c4b46e3d41861afe,Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion,Hewlett Packard Labs,Hewlett Packard Labs,"560 Oakmead Pkwy, Sunnyvale, CA 94085, USA",37.38607840,-121.98778070,edu, e597aca96ea1c928f13d15b7c4b46e3d41861afe,Mitigation of Effects of Occlusion on Object Recognition with Deep Neural Networks through Low-Level Image Completion,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, e5a0e119ce4925a55910dcf0b5667ab551f8cdf1,Segmentation Free Object Discovery in Video,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, e50682179979e32c8d916c6c289d12d35cc0d0b2,Adversarial Perturbations Against Real-Time Video Classification Systems,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, @@ -288,15 +354,18 @@ e50682179979e32c8d916c6c289d12d35cc0d0b2,Adversarial Perturbations Against Real- e50682179979e32c8d916c6c289d12d35cc0d0b2,Adversarial Perturbations Against Real-Time Video Classification Systems,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, e50682179979e32c8d916c6c289d12d35cc0d0b2,Adversarial Perturbations Against Real-Time Video Classification Systems,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, e5b301ee349ba8e96ea6c71782295c4f06be6c31,The case for onloading continuous high-datarate perception to the phone,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, -e5b301ee349ba8e96ea6c71782295c4f06be6c31,The case for onloading continuous high-datarate perception to the phone,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +e5b301ee349ba8e96ea6c71782295c4f06be6c31,The case for onloading continuous high-datarate perception to the phone,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, e5687f9584deca1fafb68b50fa79b9fcfbd1d379,Zero-Shot Object Recognition Using Semantic Label Vectors,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, e5533c70706109ee8d0b2a4360fbe73fd3b0f35d,"How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)",University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, +e5c4b75cb79aa5155ffd9498b3fcc790eb794e72,Object Recognition using Discriminative Robust Local Binary Pattern,India,India,India,20.59368400,78.96288000,edu, +e5c4b75cb79aa5155ffd9498b3fcc790eb794e72,Object Recognition using Discriminative Robust Local Binary Pattern,India,India,India,20.59368400,78.96288000,edu, e569f4bd41895028c4c009e5b46b935056188e91,"FISHER VECTOR FACES IN THE WILD 3 Facial landmark detection Aligned and cropped face Dense SIFT , GMM , and FV Discriminative dim",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, e572c42d8ef2e0fadedbaae77c8dfe05c4933fbf,A Century of Portraits: A Visual Historical Record of American High School Yearbooks,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, e572c42d8ef2e0fadedbaae77c8dfe05c4933fbf,A Century of Portraits: A Visual Historical Record of American High School Yearbooks,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, e572c42d8ef2e0fadedbaae77c8dfe05c4933fbf,A Century of Portraits: A Visual Historical Record of American High School Yearbooks,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, e506cdb250eba5e70c5147eb477fbd069714765b,Heterogeneous Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, e5d53a335515107452a30b330352cad216f88fc3,Generalized Loss-Sensitive Adversarial Learning with Manifold Margins,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +e545f1c06799bfd2bd5f7eaed085fd60a388202f,A top-down manner-based DCNN architecture for semantic image segmentation,China,China,China,35.86166000,104.19539700,edu, e5983da736cdc4e1f0b324bf780e2b60772b4248,ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, e534582cfc1b98001fa1ad17cc1df47aeab1257f,Are We Looking in the Wrong Place? Implications for Behavioural-Based Pain Assessment in Rabbits (Oryctolagus cuniculi) and Beyond?,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu, e59813940c5c83b1ce63f3f451d03d34d2f68082,A Real-Time Facial Expression Recognition System for Online Games,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, @@ -305,7 +374,10 @@ e59813940c5c83b1ce63f3f451d03d34d2f68082,A Real-Time Facial Expression Recogniti e59813940c5c83b1ce63f3f451d03d34d2f68082,A Real-Time Facial Expression Recognition System for Online Games,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, e59813940c5c83b1ce63f3f451d03d34d2f68082,A Real-Time Facial Expression Recognition System for Online Games,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, e52b0059addd08b6aeead3b4ebdb46594e44bd79,Real-Time Pedestrian Detection and Tracking,Kumamoto University,Kumamoto University,"熊本大学黒髪キャンパス, 熊本菊陽線, 中央区, 熊本市, 熊本県, 九州地方, 860-0863, 日本",32.81641780,130.72703969,edu, +e510f2412999399149d8635a83eca89c338a99a1,Face Recognition using Block-Based DCT Feature Extraction,India,India,India,20.59368400,78.96288000,edu, +e510f2412999399149d8635a83eca89c338a99a1,Face Recognition using Block-Based DCT Feature Extraction,India,India,India,20.59368400,78.96288000,edu, e5a1864f6073f35920a8f7a0a368ff66b9dc6284,A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +e5346a581ade62e1ac4b272d26d340fe78b58faa,Weakly Supervised Semantic Segmentation Using Web-Crawled Videos,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, e59e1c43ee86e3e68b83d8a9916ebe6375606bb3,Zero-Shot Transfer VQA Dataset,"Baidu Research, USA","Baidu Research, USA","1195 Bordeaux Dr, Sunnyvale, CA 94089, USA",37.40922650,-122.02366150,company, e5517a6e5094c159f4982c3b88174b8ae10c268a,Discriminant Non-negative Matrix Factorization and Projected Gradients for Frontal Face Verification,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, e5ee85c412942bdfd9df8cc519d4af31d6d08a67,Improved Training with Curriculum GANs,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -327,54 +399,73 @@ a4bb4474e38140d183241f0c8cee13167a6d2c60,Person Re-identification Using Clusteri a470a81f989d5354239f1044c90e07b78c6beed7,RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, a470a81f989d5354239f1044c90e07b78c6beed7,RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, a470a81f989d5354239f1044c90e07b78c6beed7,RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +a48c71153265d6da7fbc4b16327320a5cbfa6cba,Unite the People : Closing the loop between 3 D and 2 D Human Representations Supplementary Material,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, a481e394f58f2d6e998aa320dad35c0d0e15d43c,Selectively guiding visual concept discovery,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, a4d5ff6f1fb8b304c3e6fd5f1a7abd9b5c52955c,Spoofing 2D Face Detection: Machines See People Who Aren't There,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, a45ec771ca2db81088c52c173eed9ec2022a8a70,Impaired recognition of negative basic emotions in autism: a test of the amygdala theory.,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, a45ec771ca2db81088c52c173eed9ec2022a8a70,Impaired recognition of negative basic emotions in autism: a test of the amygdala theory.,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, a46d4f5bf9c5baca38b52874e74d1e3f9b3b12cd,Evolutionary Generative Adversarial Networks,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +a46d4f5bf9c5baca38b52874e74d1e3f9b3b12cd,Evolutionary Generative Adversarial Networks,China,China,China,35.86166000,104.19539700,edu, a46d4f5bf9c5baca38b52874e74d1e3f9b3b12cd,Evolutionary Generative Adversarial Networks,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, a46d4f5bf9c5baca38b52874e74d1e3f9b3b12cd,Evolutionary Generative Adversarial Networks,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu, a40476d94c5cf1f929ee9514d3761dca00dd774b,Watch List Face Surveillance Using Transductive Inference,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, a4acd75470152933faf9957f04579aa662a912a0,Energy efficient job scheduling in single-ISA heterogeneous chip-multiprocessors,Louisiana State University,Louisiana State University,"LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA",30.40550035,-91.18620474,edu, +a41581276c5d6206ce79c1c7b319556de0d15234,Couch potato or gym addict ? Semantic lifestyle profiling with wearables and fuzzy knowledge graphs,"ISTI-CNR, Pisa, Italy","ISTI-CNR, Pisa, Italy","Via Giuseppe Moruzzi, 1, 56127 Pisa PI, Italy",43.71925870,10.42079470,edu, a47f834281c39b1b851757b807c92f43dc975206,Multi task sequence learning for depression scale prediction from video,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +a47f834281c39b1b851757b807c92f43dc975206,Multi task sequence learning for depression scale prediction from video,China,China,China,35.86166000,104.19539700,edu, +a47f834281c39b1b851757b807c92f43dc975206,Multi task sequence learning for depression scale prediction from video,China,China,China,35.86166000,104.19539700,edu, a47f834281c39b1b851757b807c92f43dc975206,Multi task sequence learning for depression scale prediction from video,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, -a4d9f1cec4b920126da60a0cf011740b9a27f275,DOC: Deep OCclusion Recovering From A Single Image,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +a4d9f1cec4b920126da60a0cf011740b9a27f275,DOC: Deep OCclusion Recovering From A Single Image,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, a4f29217d2120ed1490aea7e1c5b78c3b76e972f,Enhanced object detection via fusion with prior beliefs from image classification,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, a489a7951c7848ebae5a99ac590c016359a85434,Attribute-Guided Sketch Generation,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, a489a7951c7848ebae5a99ac590c016359a85434,Attribute-Guided Sketch Generation,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, a489a7951c7848ebae5a99ac590c016359a85434,Attribute-Guided Sketch Generation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, a489a7951c7848ebae5a99ac590c016359a85434,Attribute-Guided Sketch Generation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +a4bfe4ac91b295ced04f06d3b8f986b0dc5172c0,A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS,India,India,India,20.59368400,78.96288000,edu, +a4bfe4ac91b295ced04f06d3b8f986b0dc5172c0,A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS,India,India,India,20.59368400,78.96288000,edu, a4a56ba73a3412ec2934bc85c7e3c555612077d9,Infrastructure Development for Integration of Lip Reading into the SUMMIT Speech Recognizer,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, a4a56ba73a3412ec2934bc85c7e3c555612077d9,Infrastructure Development for Integration of Lip Reading into the SUMMIT Speech Recognizer,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, a4a56ba73a3412ec2934bc85c7e3c555612077d9,Infrastructure Development for Integration of Lip Reading into the SUMMIT Speech Recognizer,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, bce970f44680f3f3fbf2ebb7a53272afe8e4c5bb,Sparse Local Discriminant Projections for Face Feature Extraction,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, bce970f44680f3f3fbf2ebb7a53272afe8e4c5bb,Sparse Local Discriminant Projections for Face Feature Extraction,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, bc6011807fadc2d3e6bc97bb2c2ecee5ec1b64a8,Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +bc6011807fadc2d3e6bc97bb2c2ecee5ec1b64a8,Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face,China,China,China,35.86166000,104.19539700,edu, bc6011807fadc2d3e6bc97bb2c2ecee5ec1b64a8,Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, bc21bf4c733e117d2d969fd5605bba4251467243,Fusion of dynamic and static features for gait recognition over time,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, bc99f98b5f1fd158cc31d693061c402a36222dbb,Recent advances in understandi ng the neural bases of autism spectrum disorder,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, bc27c0d99e6f21b8a4fac6a0cf1079f6755554cc,Adaptive Sparse Kernel Principal Component Analysis for Computation and Store Space Constrained-based Feature Extraction,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, bc27c0d99e6f21b8a4fac6a0cf1079f6755554cc,Adaptive Sparse Kernel Principal Component Analysis for Computation and Store Space Constrained-based Feature Extraction,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +bc27c0d99e6f21b8a4fac6a0cf1079f6755554cc,Adaptive Sparse Kernel Principal Component Analysis for Computation and Store Space Constrained-based Feature Extraction,China,China,China,35.86166000,104.19539700,edu, bc2953c2d177b18f0870ff9e7439e00a904a0b33,Please smile,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, bc2953c2d177b18f0870ff9e7439e00a904a0b33,Please smile,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, bc2953c2d177b18f0870ff9e7439e00a904a0b33,Please smile,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, bc12715a1ddf1a540dab06bf3ac4f3a32a26b135,Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, bc12715a1ddf1a540dab06bf3ac4f3a32a26b135,Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +bc12715a1ddf1a540dab06bf3ac4f3a32a26b135,Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, bcfd771ee51f2813e910b339d08d10057af1e294,Analysis of face recognition under varying facial expression: a survey,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, bc9024e573c6fa30b622286c7d7f460e4eb6a693,Gyroscope Drift Correction Algorithm for Inertial Measurement Unit Applications in Robotics,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu, bcd5412df9e3418ecedba9b95ab1d6ab506b5665,High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, bc910ca355277359130da841a589a36446616262,Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, bc871497626afb469d25c4975aa657159269aefe,Adaptive learning algorithm for pattern classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +bc871497626afb469d25c4975aa657159269aefe,Adaptive learning algorithm for pattern classification,China,China,China,35.86166000,104.19539700,edu, bcc0a12f8dbc3efcd3ef353b0173c49a8889e763,Automatic Face Anonymization in Visual Data: Are we really well protected?,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, bc7a3573a464bca2cdca71f6f32e798464b85ee6,Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, bc7a3573a464bca2cdca71f6f32e798464b85ee6,Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, bc7a3573a464bca2cdca71f6f32e798464b85ee6,Exploiting Semantic Contextualization for Interpretation of Human Activity in Videos,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, bc8e11b8cdf0cfbedde798a53a0318e8d6f67e17,Deep Learning for Fixed Model Reuse,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +bc8e11b8cdf0cfbedde798a53a0318e8d6f67e17,Deep Learning for Fixed Model Reuse,China,China,China,35.86166000,104.19539700,edu, bc494a3442ec7adff4527e60947214c0015f3b3a,Convolutional Image Captioning,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, bc25f5e10c839d08ac8827fbe7724cd713008803,Properties of Patch Based Approaches for the Recognition of Visual Object Classes,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +bc25f5e10c839d08ac8827fbe7724cd713008803,Properties of Patch Based Approaches for the Recognition of Visual Object Classes,Finland,Finland,Finland,61.92411000,25.74815110,edu, bc9c8831183b9b4e6cd78cefed7ec04d8096499f,CBAM: Convolutional Block Attention Module,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, bc9003ad368cb79d8a8ac2ad025718da5ea36bc4,Facial expression recognition with a three-dimensional face model,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, bc2856e70ad3c8fe439dec6cc6a2e03d6e090fb7,What value high level concepts in vision to language problems ?,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +bc047bdf33c12682837fb0b2aa1ebdae99329968,The Development of an Interaction Support System for International Distance Education,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +bc047bdf33c12682837fb0b2aa1ebdae99329968,The Development of an Interaction Support System for International Distance Education,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +bc047bdf33c12682837fb0b2aa1ebdae99329968,The Development of an Interaction Support System for International Distance Education,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +bcf19b964e7d1134d00332cf1acf1ee6184aff00,Trajectory-Set Feature for Action Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +bcf19b964e7d1134d00332cf1acf1ee6184aff00,Trajectory-Set Feature for Action Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +bcf19b964e7d1134d00332cf1acf1ee6184aff00,Trajectory-Set Feature for Action Recognition,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, bc6a0a107068b5a1715510e815c0103eaf80672a,Cross-pose Face Recognition by Canonical Correlation Analysis,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, bc6a0a107068b5a1715510e815c0103eaf80672a,Cross-pose Face Recognition by Canonical Correlation Analysis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, bc6a0a107068b5a1715510e815c0103eaf80672a,Cross-pose Face Recognition by Canonical Correlation Analysis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, @@ -398,21 +489,30 @@ bcd59b43aaef7f466eda609e3f887a3db4ae3b41,Graph Correspondence Transfer for Perso bcd59b43aaef7f466eda609e3f887a3db4ae3b41,Graph Correspondence Transfer for Person Re-Identification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, bcd59b43aaef7f466eda609e3f887a3db4ae3b41,Graph Correspondence Transfer for Person Re-Identification,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, bcd59b43aaef7f466eda609e3f887a3db4ae3b41,Graph Correspondence Transfer for Person Re-Identification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +bcd59b43aaef7f466eda609e3f887a3db4ae3b41,Graph Correspondence Transfer for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, +bc6de183cd8b2baeebafeefcf40be88468b04b74,Age Group Recognition using Human Facial Images,India,India,India,20.59368400,78.96288000,edu, bc7e6175aed6538eca08962e133aede11fc75bcf,Multi-Scale Supervised Network for Human Pose Estimation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +bc866c2ced533252f29cf2111dd71a6d1724bd49,A Multi-Modal Face Recognition Method Using Complete Local Derivative Patterns and Depth Maps,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, bc866c2ced533252f29cf2111dd71a6d1724bd49,A Multi-Modal Face Recognition Method Using Complete Local Derivative Patterns and Depth Maps,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +bc9c4b5379469a03415b5b35f8b627b2fbdbe967,Face Illumination Processing Using Wavelet Transform and Gradientfaces,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +bc9c4b5379469a03415b5b35f8b627b2fbdbe967,Face Illumination Processing Using Wavelet Transform and Gradientfaces,China,China,China,35.86166000,104.19539700,edu, bc99ff149c3c75b90f0110b8e72a9ae1300e29e7,Unsupervised Learning of Mixture Models with a Uniform Background Component,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, bc99ff149c3c75b90f0110b8e72a9ae1300e29e7,Unsupervised Learning of Mixture Models with a Uniform Background Component,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, bc15a2fd09df7046e7e8c7c5b054d7f06c3cefe9,Using deep autoencoders for facial expression recognition,"COMSATS Institute of Information Technology, Islamabad","COMSATS Institute of Information Technology, Islamabad","COMSATS Institute of Information Technology, Fence, Chak Shehzad, وفاقی دارالحکومت اسلام آباد, 45550, ‏پاکستان‎",33.65010145,73.15514949,edu, bc15a2fd09df7046e7e8c7c5b054d7f06c3cefe9,Using deep autoencoders for facial expression recognition,Information Technology University,Information Technology University (ITU),"Information Technology University (ITU), Ferozepur Road, Sher Shah Block, Garden Town, Al Noor Town, Lahore District, پنجاب, 54600, ‏پاکستان‎",31.47602990,74.34275260,edu, bc15a2fd09df7046e7e8c7c5b054d7f06c3cefe9,Using deep autoencoders for facial expression recognition,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu, +bc8221265579032dde52f46b5adca39072755841,Object Evidence Extraction Using Simple Gabor Features and Statistical Ranking,Finland,Finland,Finland,61.92411000,25.74815110,edu, bc8221265579032dde52f46b5adca39072755841,Object Evidence Extraction Using Simple Gabor Features and Statistical Ranking,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, bca7d615cc143a255c0dc65235ba1acbac86ba32,Learning to Adapt Structured Output Space for Semantic Segmentation,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, bc9f3c466c6f6b386f4ef1195853d498cf3c182e,Mapping Instructions and Visual Observations to Actions with Reinforcement Learning,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, -bc9f3c466c6f6b386f4ef1195853d498cf3c182e,Mapping Instructions and Visual Observations to Actions with Reinforcement Learning,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +bc9f3c466c6f6b386f4ef1195853d498cf3c182e,Mapping Instructions and Visual Observations to Actions with Reinforcement Learning,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, bcab55f8bf0623df71623e673c767eed2159f05a,Deep Hybrid Scattering Image Learning,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded Pairwise Convolutions,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded Pairwise Convolutions,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded Pairwise Convolutions,China,China,China,35.86166000,104.19539700,edu, +8a92d17cff2096336796232e4e42bb11c590629d,Color Face Recognition Based on Curvelet Transform Ayşegül UÇAR,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 8a2e3453d5f88ce6ce73cc7731800cd512f95e64,Learning to Find Good Correspondences,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, +8a0538eb80b5d41c0e5991aceeef47db01603033,Proposal Flow: Semantic Correspondences from Object Proposals,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8a9fb7a5e3035e013129d55887b05f63b1fc5ad0,Person-following UAVs,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 8a3bb63925ac2cdf7f9ecf43f71d65e210416e17,ShearFace: Efficient Extraction of Anisotropic Features for Face Recognition,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" 8a0159919ee4e1a9f4cbfb652a1be212bf0554fd,"Application of power laws to biometrics, forensics and network traffic analysis",University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, @@ -423,21 +523,28 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 8a3f109222afbc83810cfa952fe68e33da6acd91,Experimental Study on Multiple LDA Classifier Combination for High Dimensional Data Classification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 8aff946f5d678f689cc9476e48d8b122671205ae,"Neuron numbers increase in the human amygdala from birth to adulthood, but not in autism",New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 8a091254ba45ab9fe7d72c8104409bee5aa8f199,Efficient Object Detection Using Orthogonal NMF Descriptor Hierarchies,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, +8a2ed61448d9e41295753f5bd0a662ac28373e6f,Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +8a2ed61448d9e41295753f5bd0a662ac28373e6f,Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8a1f46d56ef6dfa34412986a802b5affe2512000,Aided Action Recognition Using Single Images,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu, 8a1f46d56ef6dfa34412986a802b5affe2512000,Aided Action Recognition Using Single Images,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu, 8a6b52fd31ebaf00e7abe57c4c50dee4683aee4b,VOP: Architecture of a Processor for Vector Operations in On-Line Learning of Neural Networks,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +8a6b52fd31ebaf00e7abe57c4c50dee4683aee4b,VOP: Architecture of a Processor for Vector Operations in On-Line Learning of Neural Networks,India,India,India,20.59368400,78.96288000,edu, +8a6b52fd31ebaf00e7abe57c4c50dee4683aee4b,VOP: Architecture of a Processor for Vector Operations in On-Line Learning of Neural Networks,India,India,India,20.59368400,78.96288000,edu, 8acbf69f5877dac506bf04dc1802f327247cc27e,FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 8acbf69f5877dac506bf04dc1802f327247cc27e,FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 8a3c5507237957d013a0fe0f082cab7f757af6ee,Facial Landmark Detection by Deep Multi-task Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 8a26431833b0ea8659ef1d24bff3ac9e56dcfcd0,VoxCeleb: a large-scale speaker identification dataset,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 8a7882f765822ecc1f72610277037228c24e7bf7,Examining Performance of Sketch-to-Image Translation Models with Multiclass Automatically Generated Paired Training Data,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 8af9f7c920a87acb3ae127756f498a51b535790a,Exploring Contextual Engagement for Trauma Recovery,University of Colorado at Colorado Springs,University of Colorado at Colorado Springs,"1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA",38.89646790,-104.80505940,edu, +8a91ad8c46ca8f4310a442d99b98c80fb8f7625f,2D Segmentation Using a Robust Active Shape Model With the EM Algorithm,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8ade817b8af7a1ad4192f5974454373efd1402ab,Class representative autoencoder for low resolution multi-spectral gender classification,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 8a1294d2093b7f339e3d33da46e008aca3528893,FoveaNet: Perspective-Aware Urban Scene Parsing,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 8a12edaf81fd38f81057cf9577c822eb09ff6fc1,Measuring and mitigating targeted biometric impersonation,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 8a12edaf81fd38f81057cf9577c822eb09ff6fc1,Measuring and mitigating targeted biometric impersonation,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +8a77025bde5479a1366bb93c6f2366b5a6293720,Sharp Attention Network via Adaptive Sampling for Person Re-identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8a8224266b8ab1483f6548307ab96227147f34da,Zero-Shot Visual Question Answering,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 8a8861ad6caedc3993e31d46e7de6c251a8cda22,StreetStyle: Exploring world-wide clothing styles from millions of photos,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +8ab183883acba0501c3315a914aee755b5e517d8,Synthesis-based Robust Low Resolution Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8a2a77062770bbdbfdbfe06ad7c3ab1728a4c59a,Video Action Detection with Relational Dynamic-Poselets,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 8a2a77062770bbdbfdbfe06ad7c3ab1728a4c59a,Video Action Detection with Relational Dynamic-Poselets,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 8a2a77062770bbdbfdbfe06ad7c3ab1728a4c59a,Video Action Detection with Relational Dynamic-Poselets,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -447,6 +554,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 8a3f85c80c698f15639ced90b4e9d4baa23b572e,MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 8a3eaaef13bdaee26142fd2784de07e1d24926ca,Design and evaluation of photometric image quality measures for effective face recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 8a5099b2ae6912b4df22534a1b3065e147c38b9c,Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +8a7bd4202e49fcdb947d71c9f2da0e7a953c7021,PRIVACY AND SECURITY ASSESSMENT OF BIOMETRIC TEMPLATE PROTECTION,China,China,China,35.86166000,104.19539700,edu, 8a7bd4202e49fcdb947d71c9f2da0e7a953c7021,PRIVACY AND SECURITY ASSESSMENT OF BIOMETRIC TEMPLATE PROTECTION,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 8aa85d2f81d7496cf7105ee0a3785f140ddaa367,Efficient processing of MRFs for unconstrained-pose face recognition,Urmia University,Urmia University,"دانشگاه ارومیه, خیابان اداره گاز (منصور افشار), دانشکده, ارومیه, بخش مرکزی, شهرستان ارومیه, استان آذربایجان غربی, 444655677, ‏ایران‎",37.52914535,45.04886077,edu, 8aa85d2f81d7496cf7105ee0a3785f140ddaa367,Efficient processing of MRFs for unconstrained-pose face recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, @@ -461,6 +569,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 8a722c17e6bda2df13f03ca522119f4c8b5bfff8,Connecting Missing Links: Object Discovery from Sparse Observations Using 5 Million Product Images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 8a722c17e6bda2df13f03ca522119f4c8b5bfff8,Connecting Missing Links: Object Discovery from Sparse Observations Using 5 Million Product Images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 8a722c17e6bda2df13f03ca522119f4c8b5bfff8,Connecting Missing Links: Object Discovery from Sparse Observations Using 5 Million Product Images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +8a2bd5dbcf0ab0130dfb97e2a035e5722aa9319e,NLP EAC Recognition by Component Separation in the Eye Region,Romania,Romania,Romania,45.94316100,24.96676000,edu, 8ad0d8cf4bcb5c7eccf09f23c8b7d25439c4ae2b,Predicting the Future with Transformational States,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 8a05ac5e375ebf80b5fb88f207a9d33d5765c27b,2 D-3 D Hybrid Face Recognition Based on PCA and Feature Modelling,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 8a268c9d76043e33e958d8bc908cd703ef5405b4,FEASIBILITY OF IN-PLANE ARTICULATION MONITORING OF EXCAVATOR ARM USING PLANAR MARKER TRACKING,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, @@ -482,13 +591,14 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 6d3d61ef9b5ff6d41badbc3d40ea23acbbc9c3fe,Learning to Evaluate Image Captioning,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 6d97e69bbba5d1f5c353f9a514d62aff63bc0fb1,Semi-supervised learning for facial expression recognition,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 6d97e69bbba5d1f5c353f9a514d62aff63bc0fb1,Semi-supervised learning for facial expression recognition,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, +6d66c98009018ac1512047e6bdfb525c35683b16,Face Recognition Based on Fitting a 3D Morphable Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6da7f9d647b59fbf8d6a389caab26c5331e2cd93,Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, 6dd3a95bd46e3ab9c3f649a2034bf5ddba19c710,Learning deep representations for semantic image parsing: a comprehensive overview,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 6d5e12ee5d75d5f8c04a196dd94173f96dc8603f,"Learning a similarity metric discriminatively, with application to face verification",Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu, 6d5e12ee5d75d5f8c04a196dd94173f96dc8603f,"Learning a similarity metric discriminatively, with application to face verification",New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 6d0177bb1cd292a2ad4a14e7b9173fcc8b72569c,Leveraging Textural Features for Recognizing Actions in Low Quality Videos,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, 6d7a32f594d46f4087b71e2a2bb66a4b25da5e30,Towards Person Authentication by Fusing Visual and Thermal Face Biometrics,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, -6d8eef8f8d6cd8436c55018e6ca5c5907b31ac19,Understanding Representations and Reducing their Redundancy in Deep Networks,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +6d8eef8f8d6cd8436c55018e6ca5c5907b31ac19,Understanding Representations and Reducing their Redundancy in Deep Networks,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, 6dd2a0f9ca8a5fee12edec1485c0699770b4cfdf,Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 6dd2a0f9ca8a5fee12edec1485c0699770b4cfdf,Webly-Supervised Video Recognition by Mutually Voting for Relevant Web Images and Web Video Frames,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 6d0fe30444c6f4e4db3ad8b02fb2c87e2b33c58d,Robust Deep Appearance Models,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, @@ -496,8 +606,15 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 6d4e3616d0b27957c4107ae877dc0dd4504b69ab,Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 6d8e3f3a83514381f890ab7cd2a1f1c5be597b69,Recognition in Images of Natural Scenes,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 6d8e3f3a83514381f890ab7cd2a1f1c5be597b69,Recognition in Images of Natural Scenes,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, +6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, +6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, +6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 6da446b59944db9b3d7412ad0efc6c189812d56a,Facial Expression Recognition Using Depth Information and Spatiotemporal Features,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu, 6d1cfdb82122cefbc0f27ee7a02d6a22483d6a05,Static pose estimation from depth images using random regression forests and Hough voting,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +6d4b5444c45880517213a2fdcdb6f17064b3fa91,Harvesting Image Databases from The Web,India,India,India,20.59368400,78.96288000,edu, +6d4b5444c45880517213a2fdcdb6f17064b3fa91,Harvesting Image Databases from The Web,India,India,India,20.59368400,78.96288000,edu, +6d4b5444c45880517213a2fdcdb6f17064b3fa91,Harvesting Image Databases from The Web,India,India,India,20.59368400,78.96288000,edu, 6d741691b7164b636678340dbb5823e437e1c5a9,"Beyond Controllers Human Segmentation , Pose , and Depth Estimation as Game Input Mechanisms",Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, 6dbe76f51091ca6a626a62846a946ce687c3dbe8,INCREMENTAL OBJECT MATCHING WITH PROBABILISTIC METHODS Doctoral dissertation,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, 6d74e491bae5ec2768c0ceb27e54669704c47ca6,Family verification based on similarity of individual family member’s facial segments,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, @@ -505,6 +622,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 6d5125c9407c7762620eeea7570af1a8ee7d76f3,Video Frame Interpolation by Plug-and-Play Deep Locally Linear Embedding,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 6d3c8c5869b512090b1283fba28f01c2748b0ebc,Recurrent neural networks for object detection in video sequences,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, 6dff2bcbfad53238d24f4467a9504ce33ecdfa4d,Illumination Normalization for Color Face Images,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +6d8612f7856f569f5635ff07a6b94480a9c7c284,Ensemble perception of emotions in autistic and typical children and adolescents,g,g,"612 Main St, Neodesha, KS 66757, USA",37.41819100,-95.68183430,edu, 6d8612f7856f569f5635ff07a6b94480a9c7c284,Ensemble perception of emotions in autistic and typical children and adolescents,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 6d8612f7856f569f5635ff07a6b94480a9c7c284,Ensemble perception of emotions in autistic and typical children and adolescents,Plymouth University,Plymouth University,"Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37552690,-4.13937687,edu, 6d8612f7856f569f5635ff07a6b94480a9c7c284,Ensemble perception of emotions in autistic and typical children and adolescents,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -515,18 +633,26 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 6dde7e3496954b55072432b71df279720c6ec8ef,Benchmarking 6DOF Urban Visual Localization in Changing Conditions,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 6dde7e3496954b55072432b71df279720c6ec8ef,Benchmarking 6DOF Urban Visual Localization in Changing Conditions,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 6dde7e3496954b55072432b71df279720c6ec8ef,Benchmarking 6DOF Urban Visual Localization in Changing Conditions,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, +6dde7e3496954b55072432b71df279720c6ec8ef,Benchmarking 6DOF Urban Visual Localization in Changing Conditions,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 6d0b4f5b3391463376c013a6c00d76daf38da578,"A Simple, Fast Diverse Decoding Algorithm for Neural Generation",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 6d6834a094767356474d34b099a2f042ddb44e69,TripletGAN: Training Generative Model with Triplet Loss,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 6d6834a094767356474d34b099a2f042ddb44e69,TripletGAN: Training Generative Model with Triplet Loss,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 6d6834a094767356474d34b099a2f042ddb44e69,TripletGAN: Training Generative Model with Triplet Loss,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 6d6834a094767356474d34b099a2f042ddb44e69,TripletGAN: Training Generative Model with Triplet Loss,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +6d6834a094767356474d34b099a2f042ddb44e69,TripletGAN: Training Generative Model with Triplet Loss,China,China,China,35.86166000,104.19539700,edu, +6dddf1440617bf7acda40d4d75c7fb4bf9517dbb,"Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6d60c427036e63957f1ce72930146964c5743749,Deep Convolutional Neural Networks for Smile Recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 6d07e176c754ac42773690d4b4919a39df85d7ec,Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, +6d071848a3fd4e6c3184db0a68a41559ec9a47c8,An approach to Enhance Automatic Diagnosis of Diabetic Retinopathy and Classification by Hybrid Multilayer Feed forward Neural Networks by Genetic Algorithm,India,India,India,20.59368400,78.96288000,edu, 6de1299a192fdb852846e3cfa4a428b8fe81523f,Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, 6dc784e98680f417d8dd1a78a417b8ce803ec143,Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +6dc784e98680f417d8dd1a78a417b8ce803ec143,Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 6dc784e98680f417d8dd1a78a417b8ce803ec143,Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 6dc784e98680f417d8dd1a78a417b8ce803ec143,Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +6dc784e98680f417d8dd1a78a417b8ce803ec143,Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment,China,China,China,35.86166000,104.19539700,edu, 6d4559883ffb8cc611644dce9f1422a98139a7eb,Preserving Semantic Relations for Zero-Shot Learning,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +6d973fb5f682c491be94aa40a184a1707a8dc24a,Combining Multiple Image Segmentations by Maximizing Expert Agreement,Finland,Finland,Finland,61.92411000,25.74815110,edu, +6dd0597f8513dc100cd0bc1b493768cde45098a9,Learning to parse images of articulated bodies,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 30caeca74168cd841759cef951c947f44ef0f547,Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 30caeca74168cd841759cef951c947f44ef0f547,Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 30e547dfab832ea0428b137d9e4824a22d8efd0b,Lazier Than Lazy Greedy,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, @@ -543,7 +669,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 309acdd149f5f0ea12acb103b36bb59e6e631671,Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 309acdd149f5f0ea12acb103b36bb59e6e631671,Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 309acdd149f5f0ea12acb103b36bb59e6e631671,Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, -30193451e552286645baa00db7dcd05780d9e1da,On Available Corpora for Empirical Methods in Vision & Language,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +30193451e552286645baa00db7dcd05780d9e1da,On Available Corpora for Empirical Methods in Vision & Language,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 301909da354bc1cdb3c81fd49c5e5aef7873560a,Inference Compilation and Universal Probabilistic Programming,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 303a7099c01530fa0beb197eb1305b574168b653,Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 303a7099c01530fa0beb197eb1305b574168b653,Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, @@ -551,9 +677,11 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 309712bb1858f28983ac1460d2cb43e64ddc6bd4,Robot Perception of Human Groups in the Real World: State of the Art,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 305887fe0fce91470c6cb042616cb36486dc0e3b,SelfKin: Self Adjusted Deep Model For Kinship Verification,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu, 30f464c09779c6210397204901d025c0def1fe10,Deep Reasoning with Knowledge Graph for Social Relationship Understanding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +30f464c09779c6210397204901d025c0def1fe10,Deep Reasoning with Knowledge Graph for Social Relationship Understanding,China,China,China,35.86166000,104.19539700,edu, 30722904751c2e1cf287f268befdec2e4223b086,Accurate Eye Center Localization via Hierarchical Adaptive Convolution,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu, 30722904751c2e1cf287f268befdec2e4223b086,Accurate Eye Center Localization via Hierarchical Adaptive Convolution,University of Plymouth,University of Plymouth,"Charles Seale-Hayne Library, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37525010,-4.13927692,edu, 3070a1bd503c3767def898bbd50c7eea2bbf29c9,Wider or Deeper: Revisiting the ResNet Model for Visual Recognition,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +30c96cc041bafa4f480b7b1eb5c45999701fe066,Discrete Cosine Transform Locality-Sensitive Hashes for Face Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 306127c3197eb5544ab1e1bf8279a01e0df26120,Sparse Coding and Dictionary Learning with Linear Dynamical Systems,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 30f49d6595359a4a18c728ec83f99346d1e16348,Intact Reflexive but Deficient Voluntary Social Orienting in Autism Spectrum Disorder,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu, 30f49d6595359a4a18c728ec83f99346d1e16348,Intact Reflexive but Deficient Voluntary Social Orienting in Autism Spectrum Disorder,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, @@ -567,10 +695,17 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 3039627fa612c184228b0bed0a8c03c7f754748c,Robust regression on image manifolds for ordered label denoising,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, 303225eaedd489f61ac36e1f39cd04db7fd8bd41,Facial Affect Recognition for Cognitive-behavioural Therapy,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, 3067885f8f7d6d09a376ab4c5c83eb3fa5e5141a,Text-to-Image Generation Using Multi-Instance StackGan,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +3002b5180c4b4fbf9c07145b5b435846c729c724,Reconstruction of Partially Occluded Face by Fast Recursive PCA,China,China,China,35.86166000,104.19539700,edu, 3002b5180c4b4fbf9c07145b5b435846c729c724,Reconstruction of Partially Occluded Face by Fast Recursive PCA,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 302bf028487b50bed33bc6d36971b8ecf06393ab,Landmark Localisation in 3D Face Data,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +302c2293e36e0704ccfe9af759a8505df588eb07,Face recognition with Multilevel B-Splines and Support Vector Machines,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, +302c2293e36e0704ccfe9af759a8505df588eb07,Face recognition with Multilevel B-Splines and Support Vector Machines,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, +302c2293e36e0704ccfe9af759a8505df588eb07,Face recognition with Multilevel B-Splines and Support Vector Machines,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 3000921934fa84cba1a38a602f403460531e0cc5,Image based Face Sketch-to-Photo via Online Coupled Dictionary Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +306957285fea4ce11a14641c3497d01b46095989,Face recognition under varying lighting based on derivates of log image,China,China,China,35.86166000,104.19539700,edu, +306957285fea4ce11a14641c3497d01b46095989,Face recognition under varying lighting based on derivates of log image,China,China,China,35.86166000,104.19539700,edu, 30a14aabde46aa236a7b437a4942a92d417f3653,Incremental Learning Framework for Indoor Scene Recognition,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, +30f7609d111bb3bc006e3dd38678291528aa14d3,A new approach for extracting and summarizing abnormal activities in surveillance videos,China,China,China,35.86166000,104.19539700,edu, 304fa45de90874e89b7a5511c88551994ea8c89d,Charting the typical and atypical development of the social brain.,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 30cd39388b5c1aae7d8153c0ab9d54b61b474ffe,Deep Recurrent Regression for Facial Landmark Detection,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 30cd39388b5c1aae7d8153c0ab9d54b61b474ffe,Deep Recurrent Regression for Facial Landmark Detection,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, @@ -579,12 +714,15 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 301662c2a6ed86e48f21c1d24bfc67b403201b0c,Repetition Suppression in Ventral Visual Cortex Is Diminished as a Function of Increasing Autistic Traits,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 30998485c920f62c307c29c4832b70bbce748eaf,Local Similarity-Aware Deep Feature Embedding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 3081b725e1764ec754bee1fe5487000b7adf7936,Slum Segmentation and Change Detection : A Deep Learning Approach,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +30b32f4a6341b5809428df1271bdb707f2418362,A Sequential Neural Encoder With Latent Structured Description for Modeling Sentences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 30180f66d5b4b7c0367e4b43e2b55367b72d6d2a,Template Adaptation for Face Verification and Identification,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 30654fd93360a339e271d4b194b7f7463b2c5dac,COSTA: Co-Occurrence Statistics for Zero-Shot Classification,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 307c5c0a61e318a65bd65af694ce89c275fd7299,Face Mis-alignment Analysis by Multiple-Instance Subspace,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 30e28beb92239447aff0718119195c0539aa58d8,Data Summarization at Scale: A Two-Stage Submodular Approach,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 3026722b4cbe9223eda6ff2822140172e44ed4b1,Jointly estimating demographics and height with a calibrated camera,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 30fcfc6b7fe1809d79ea6ce08f50e2e53c203800,Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, +30fcfc6b7fe1809d79ea6ce08f50e2e53c203800,Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition,China,China,China,35.86166000,104.19539700,edu, +3005a4afddab849d9070788ac0e4e95e0fff2216,"Transfer Metric Learning: Algorithms, Applications and Outlooks",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3073eff17368262d7c605bbcaf3b2fb015754d39,Voice conversion versus speaker verification : an overview,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 3073eff17368262d7c605bbcaf3b2fb015754d39,Voice conversion versus speaker verification : an overview,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 30efb804cd408471dad6b7ba6429ee1c5f1d9015,Assessment of Time Dependency in Face Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, @@ -594,12 +732,16 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 30b6811205b42e92d7a82c606d4521319764250b,Low cost illumination invariant face recognition by down-up sampling self quotient image,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 303be881f6cd4907c5e357bc1bb5547d8ea1da5a,Individual Differences in the Recognition of Enjoyment Smiles: No Role for Perceptual–Attentional Factors and Autistic-Like Traits,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu, 303be881f6cd4907c5e357bc1bb5547d8ea1da5a,Individual Differences in the Recognition of Enjoyment Smiles: No Role for Perceptual–Attentional Factors and Autistic-Like Traits,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu, +303be881f6cd4907c5e357bc1bb5547d8ea1da5a,Individual Differences in the Recognition of Enjoyment Smiles: No Role for Perceptual–Attentional Factors and Autistic-Like Traits,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 30a088d311987f43a08f95e8def1e9d2d7f3c46e,Towards Reversible De-Identification in Video Sequences Using 3D Avatars and Steganography,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu, +30b15cdb72760f20f80e04157b57be9029d8a1ab,Face Aging with Identity-Preserved Conditional Generative Adversarial Networks,Baidu,Baidu,"1195 Bordeaux Dr, Sunnyvale, CA 94089, USA",37.40922650,-122.02366150,edu, 30d21b5baf9514d26da749c6683c49b4fa55f2b5,Towards a unified account of face ( and maybe object ) processing,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 30def55b6277f1e636dfebe12799b12a1b3f48a2,Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 30e18a16d4c7092694d55743ff92965e5dec2692,"Hormonal contraceptives, menstrual cycle and brain response to faces.",University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 30e18a16d4c7092694d55743ff92965e5dec2692,"Hormonal contraceptives, menstrual cycle and brain response to faces.",University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu, 30a4637cbc461838c151073b265fb08e00492ff4,Weakly Supervised Object Localization with Progressive Domain Adaptation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +30aff559ad25dd3490712749793547bc89b0f103,Image Latent Semantic Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +30aff559ad25dd3490712749793547bc89b0f103,Image Latent Semantic Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 30723ada764c6ec186927522d666eaa8eeae35b1,Deep Covariance Descriptors for Facial Expression Recognition,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 304b1f14ca6a37552dbfac443f3d5b36dbe1a451,Collaborative Low-Rank Subspace Clustering,Charles Sturt University,Charles Sturt University,"Charles Sturt University, Wagga Wagga, NSW, 2678, Australia",-35.06360710,147.35522340,edu, 304b1f14ca6a37552dbfac443f3d5b36dbe1a451,Collaborative Low-Rank Subspace Clustering,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, @@ -607,6 +749,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 3be8f1f7501978287af8d7ebfac5963216698249,Deep Cascaded Regression for Face Alignment,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 3be8f1f7501978287af8d7ebfac5963216698249,Deep Cascaded Regression for Face Alignment,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 3b01a839d174dad6f2635cff7ebe7e1aaad701a4,Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +3b01a839d174dad6f2635cff7ebe7e1aaad701a4,Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 3b4bee3fc38c9e36fec1ff45acb143c6cf9e64d1,Single RGB Image Depth and Certainty Estimation via Deep Network and Dropout,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 3bb6570d81685b769dc9e74b6e4958894087f3f1,Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 3b0b706fc94b35a1eddd830685e07870315b9565,Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -622,23 +765,33 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 3b7f6035a113b560760c5e8000540fc46f91fed5,Coupling Alignments with Recognition for Still-to-Video Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 3b60af814574ebe389856e9f7008bb83b0539abc,Label Refinement Network for Coarse-to-Fine Semantic Segmentation.,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, 3b60af814574ebe389856e9f7008bb83b0539abc,Label Refinement Network for Coarse-to-Fine Semantic Segmentation.,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, -3bdef2961f9572d2d0f35148a7fa8a3a81f50dea,Finding the weakest link in person detectors,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +3bdef2961f9572d2d0f35148a7fa8a3a81f50dea,Finding the weakest link in person detectors,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c,A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 3b788fd0817336b3db3e111fa2ff50b665070e95,"Multi-view traffic sign detection, recognition, and 3D localisation",Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu, 3bc376f29bc169279105d33f59642568de36f17f,Active shape models with SIFT descriptors and MARS,University of Cape Town,University of Cape Town,"University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa",-33.95828745,18.45997349,edu, 3b84d074b8622fac125f85ab55b63e876fed4628,End-to-End Localization and Ranking for Relative Attributes,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, 3ba2cc665165e5f9ab61c8fb81cf6eec7c82a316,"Unsupervised Depth Estimation, 3D Face Rotation and Replacement",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +3bfa75238e15e869b902ceb62b31ffddbe8ccb0d,Describing Images using Inferred Visual Dependency Representations,China,China,China,35.86166000,104.19539700,edu, 3b466bb66ee79c8e9bcdb6cf9acb54b864dda735,"Joint inference of groups, events and human roles in aerial videos",Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, +3ba8f8b6bfb36465018430ffaef10d2caf3cfa7e,Local Directional Number Pattern for Face Analysis: Face and Expression Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3bb1c6290b208cda17f1142215c952e40761769d,Fast and accurate object detection in high resolution 4K and 8K video using GPUs,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3bd56f4cf8a36dd2d754704bcb71415dcbc0a165,Robust Regression,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 3b64efa817fd609d525c7244a0e00f98feacc8b4,A Comprehensive Survey on Pose-Invariant Face Recognition,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 3b5128bfe35875d0cead04b7d19024d841b605f9,Multispectral pedestrian detection: Benchmark dataset and baseline,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +3b570499c39cfdadc306039e58ef460f139f59d0,Part-based Visual Tracking via Structural Support Correlation Filter,China,China,China,35.86166000,104.19539700,edu, +3b570499c39cfdadc306039e58ef460f139f59d0,Part-based Visual Tracking via Structural Support Correlation Filter,China,China,China,35.86166000,104.19539700,edu, +3b570499c39cfdadc306039e58ef460f139f59d0,Part-based Visual Tracking via Structural Support Correlation Filter,China,China,China,35.86166000,104.19539700,edu, 3b5787604b619c273bf98232b0bd3bce5d4a34ee,Learning Discriminative Hidden Structural Parts for Visual Tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 3b5787604b619c273bf98232b0bd3bce5d4a34ee,Learning Discriminative Hidden Structural Parts for Visual Tracking,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +3b5787604b619c273bf98232b0bd3bce5d4a34ee,Learning Discriminative Hidden Structural Parts for Visual Tracking,China,China,China,35.86166000,104.19539700,edu, +3b5787604b619c273bf98232b0bd3bce5d4a34ee,Learning Discriminative Hidden Structural Parts for Visual Tracking,China,China,China,35.86166000,104.19539700,edu, 3b73f8a2b39751efb7d7b396bf825af2aaadee24,Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 3bf0d20c2eb75076bff255884635c2fe3ffc98d2,Multimodal Analysis of Verbal and Nonverbal Behaviour on the Example of Clinical Depression,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +3bbdfa097a4c39012cb322b23051e360c2f7f023,Learning Race from Face: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3b23c39f21156f9ea86ad8bb2ca53b2cf56b4181,Predictable Performance and Fairness Through Accurate Slowdown Estimation in Shared Main Memory Systems,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3b23c39f21156f9ea86ad8bb2ca53b2cf56b4181,Predictable Performance and Fairness Through Accurate Slowdown Estimation in Shared Main Memory Systems,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 3b2a2357b12cf0a5c99c8bc06ef7b46e40dd888e,Learning Person Trajectory Representations for Team Activity Analysis,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, +3b2df7d70ecbe3d0d65d27801d159ddaa150bf42,Doubly Sparse Relevance Vector Machine for Continuous Facial Behavior Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3b8a5be5508f809a2d68a78d21cbf1690db57d5c,Large Scale Sketch Based Image Retrieval Using Patch Hashing,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 3bac7069b9d3051f40ef4eecacc517d02107ba4a,Early Recognition of Human Activities from First-Person Videos Using Onset Representations.,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 3bac7069b9d3051f40ef4eecacc517d02107ba4a,Early Recognition of Human Activities from First-Person Videos Using Onset Representations.,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, @@ -646,26 +799,33 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 3b02aaccc9f063ae696c9d28bb06a8cd84b2abb8,"Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study",Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 3b02aaccc9f063ae696c9d28bb06a8cd84b2abb8,"Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study",Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 3b02aaccc9f063ae696c9d28bb06a8cd84b2abb8,"Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study",University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, +3bcca85ad84806be6d38d3882f7a6aac0ad90253,Video captioning with recurrent networks based on frame- and video-level features and visual content classification,Finland,Finland,Finland,61.92411000,25.74815110,edu, 3ba5aa0995f129d2854d9690adb6d982bba4e675,Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 3ba5aa0995f129d2854d9690adb6d982bba4e675,Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +3ba5aa0995f129d2854d9690adb6d982bba4e675,Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning,China,China,China,35.86166000,104.19539700,edu, 3ba5aa0995f129d2854d9690adb6d982bba4e675,Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 3b964d6a527f24b1a1f8499b0f4dbb0ed982d5e2,GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, 3b964d6a527f24b1a1f8499b0f4dbb0ed982d5e2,GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +3b2d5585af59480531616fe970cb265bbdf63f5b,Robust Face Recognition under Varying Light Based on 3D Recovery,China,China,China,35.86166000,104.19539700,edu, 3b2d5585af59480531616fe970cb265bbdf63f5b,Robust Face Recognition under Varying Light Based on 3D Recovery,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 3be027448ad49a79816cd21dcfcce5f4e1cec8a8,Actively selecting annotations among objects and attributes,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 3b67645cd512898806aaf1df1811035f2d957f6b,SCNet: Learning Semantic Correspondence,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +3b47e618c5ceb1c16db7f709dd1cfe53d7417b54,Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3bdf8de95b8631af1c6ed10e5c9dac2ceccf571c,Understanding and Mapping Natural Beauty,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, 3bdf8de95b8631af1c6ed10e5c9dac2ceccf571c,Understanding and Mapping Natural Beauty,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 3b9d48a09510ebd8bd5045ba455279abb0a9baf8,Asynchronous Nonlinear Fractal Operators and Their Applications,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu, 3b408a3ca6fb39b0fda4d77e6a9679003b2dc9ab,Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, 3b470b76045745c0ef5321e0f1e0e6a4b1821339,Consensus of Regression for Occlusion-Robust Facial Feature Localization,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +3b470b76045745c0ef5321e0f1e0e6a4b1821339,Consensus of Regression for Occlusion-Robust Facial Feature Localization,"Adobe Research, San Jose, CA 95110, USA","Adobe Research, San Jose, CA 95110, USA","345 Park Ave, San Jose, CA 95110, USA",37.33093070,-121.89404850,edu, 3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, -3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, -3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 3b4fd2aec3e721742f11d1ed4fa3f0a86d988a10,"GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices",MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, +3b374fd726c8cd2c79c1092d76e3583265866362,Superpixel Convolutional Networks using Bilateral Inceptions,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 3ba80d94cd19f24566b454c4a82a1e499a029158,Organising a photograph collection based on human appearance,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 3b152bdeedb97d68dd69bbb806c60c205e6fa696,Patch-Based Principal Component Analysis for Face Recognition,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +3b152bdeedb97d68dd69bbb806c60c205e6fa696,Patch-Based Principal Component Analysis for Face Recognition,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, 3b092733f428b12f1f920638f868ed1e8663fe57,On the size of Convolutional Neural Networks and generalization performance,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 3bdcc99f45b58e4ddf4ffde5f58bea1ddada2744,Conversational Image Editing: Incremental Intent Identification in a New Dialogue Task,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 3bebff841ce7d40f0309bbc0e8cc454694061e82,Segmenting Scenes by Matching Image Composites,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -677,6 +837,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 3be9286e5d6a9d9167c64b05be6fb0712ffbba35,Recurrent Autoregressive Networks for Online Multi-object Tracking,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 3b4ec8af470948a72a6ed37a9fd226719a874ebc,A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, 3b4ec8af470948a72a6ed37a9fd226719a874ebc,A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +3b4ec8af470948a72a6ed37a9fd226719a874ebc,A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification,China,China,China,35.86166000,104.19539700,edu, 3bad18554678ab46bbbf9de41d36423bc8083c83,Weakly Supervised Object Boundaries,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 3b9c08381282e65649cd87dfae6a01fe6abea79b,CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 3b9c08381282e65649cd87dfae6a01fe6abea79b,CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, @@ -685,26 +846,36 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 3bdf9c8ba5f5cf1845fe69b3874f0036ea8c245a,Latent Space Optimal Transport for Generative Models,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 3b3550680136aa2fe3bd57c9faa3bfa0dfb3e748,Forensic Face Recognition : A Survey,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 3bb02eabd178aa5ab4ea4fe778b01356b70f51ab,Deep Priority Hashing,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, -4706d61276b953eadeac572bd449cfa70d2e0b82,Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +4706d61276b953eadeac572bd449cfa70d2e0b82,Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 47b0e2fde37b3d1810a5b5a19597765fd76c691e,Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 4745baf6c4ae7a088f03340fcc05ad7d18a0aca2,Multi-label Image Classification with A Probabilistic Label Enhancement Model,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 4774b9853968b12156287bd42bb425d79f99e313,Online Multi-object Tracking Based on Hierarchical Association Framework,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, +470dbd3238b857f349ebf0efab0d2d6e9779073a,Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +47d4838087a7ac2b995f3c5eba02ecdd2c28ba14,Automatic Recognition of Deceptive Facial Expressions of Emotion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4771af2eeb920bde146c74ee0f56bd421793cd33,ste-GAN-ography: Generating Steganographic Images via Adversarial Training,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 4771af2eeb920bde146c74ee0f56bd421793cd33,ste-GAN-ography: Generating Steganographic Images via Adversarial Training,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +47bd6c1d7da596d3cf79f06ec0de816d10f11beb,Coupled Discriminant Analysis for Heterogeneous Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 47c5a9fdc2adb340c5cc61ea97c23a2036f2c086,A Novel Multiinstance Learning Approach for Liver Cancer Recognition on Abdominal CT Images Based on CPSO-SVM and IO,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +47c5a9fdc2adb340c5cc61ea97c23a2036f2c086,A Novel Multiinstance Learning Approach for Liver Cancer Recognition on Abdominal CT Images Based on CPSO-SVM and IO,China,China,China,35.86166000,104.19539700,edu, +47c5a9fdc2adb340c5cc61ea97c23a2036f2c086,A Novel Multiinstance Learning Approach for Liver Cancer Recognition on Abdominal CT Images Based on CPSO-SVM and IO,China,China,China,35.86166000,104.19539700,edu, 47ecc0924c2a17a6664d9ff6c31e2b9b6e490294,An SVM Confidence-Based Approach to Medical Image Annotation,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 477ca04e9c6b9fd8326af7e11c6d60b6ada2f42a,Adapting Models to Signal Degradation using Distillation,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 476d39acd79319665efad22ef8b412529328f2cd,Extraction and Segmentation of Sputum Cells for Lung Cancer Early Diagnosis,Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu, 47b6cc487a7a257c405610b5830b67f30c514922,Object Proposal via Partial Re-ranking,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, +47b6cc487a7a257c405610b5830b67f30c514922,Object Proposal via Partial Re-ranking,China,China,China,35.86166000,104.19539700,edu, 47b6cc487a7a257c405610b5830b67f30c514922,Object Proposal via Partial Re-ranking,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +475e16577be1bfc0dd1f74f67bb651abd6d63524,DAiSEE: Towards User Engagement Recognition in the Wild,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +47022785c35735a242dbacd4f1f1bb73628493ea,Person Retrieval Based on Viewpoint Saliency Prior,China,China,China,35.86166000,104.19539700,edu, 47f84928dd6e40797255fa1e1bbb3c12b2659a7c,Input selection for fast feature engineering,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 47f84928dd6e40797255fa1e1bbb3c12b2659a7c,Input selection for fast feature engineering,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +47a2727bd60e43f3253247b6d6f63faf2b67c54b,Semi-supervised Vocabulary-Informed Learning,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 47382cb7f501188a81bb2e10cfd7aed20285f376,Articulated Pose Estimation Using Hierarchical Exemplar-Based Models,Columbia University ,Columbia University in the City of New York,"Columbia University In The City Of New York, College Walk, Morningside Heights, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10027, USA",40.80717720,-73.96252798,edu, 47dabb566f2bdd6b3e4fa7efc941824d8b923a13,Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 4767a0c9f7261a4265db650d3908c6dd1d10a076,Joint tracking and segmentation of multiple targets,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 47662d1a368daf70ba70ef2d59eb6209f98b675d,The CMU Face In Action (FIA) Database,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 47662d1a368daf70ba70ef2d59eb6209f98b675d,The CMU Face In Action (FIA) Database,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, 4793f11fbca4a7dba898b9fff68f70d868e2497c,Kinship verification through transfer learning,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu, +4793f11fbca4a7dba898b9fff68f70d868e2497c,Kinship verification through transfer learning,China,China,China,35.86166000,104.19539700,edu, 472500bb0fc49354445b25f851905dda621a42d0,Understanding and Predicting Interestingness of Videos,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 473cbc5ec2609175041e1410bc6602b187d03b23,Semantic Audio-Visual Data Fusion for Automatic Emotion Recognition,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 47fdbd64edd7d348713253cf362a9c21f98e4296,Facial point detection based on a convolutional neural network with optimal mini-batch procedure,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu, @@ -726,18 +897,20 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 47638197d83a8f8174cdddc44a2c7101fa8301b7,Object-Centric Anomaly Detection by Attribute-Based Reasoning,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 47638197d83a8f8174cdddc44a2c7101fa8301b7,Object-Centric Anomaly Detection by Attribute-Based Reasoning,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 47638197d83a8f8174cdddc44a2c7101fa8301b7,Object-Centric Anomaly Detection by Attribute-Based Reasoning,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, -47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, -47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +47dfddafed43bc5afef93ac90ea3376a02046151,Max Margin AND/OR Graph learning for parsing the human body,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 47eba2f95679e106e463e8296c1f61f6ddfe815b,Deep Co-occurrence Feature Learning for Visual Object Recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 47eba2f95679e106e463e8296c1f61f6ddfe815b,Deep Co-occurrence Feature Learning for Visual Object Recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, +47d3b923730746bfaabaab29a35634c5f72c3f04,Real-Time Facial Expression Recognition App Development on Smart Phones,Florida Institute of Technology,Florida Institute of Technology,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA",28.06468880,-80.62302200,edu, 47190d213caef85e8b9dd0d271dbadc29ed0a953,The Devil of Face Recognition is in the Noise,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 47190d213caef85e8b9dd0d271dbadc29ed0a953,The Devil of Face Recognition is in the Noise,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 472541ccd941b9b4c52e1f088cc1152de9b3430f,Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 479cd0af9f345bd44cd180a5e26f3e799391e31d,Supervised local subspace learning for continuous head pose estimation,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 479cd0af9f345bd44cd180a5e26f3e799391e31d,Supervised local subspace learning for continuous head pose estimation,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 479cd0af9f345bd44cd180a5e26f3e799391e31d,Supervised local subspace learning for continuous head pose estimation,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +47caa516511a111b9dfd04f0eae55c6568bddb6c,Joint Tensor Feature Analysis For Visual Object Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 474d84a1cc5bf2be1004f07732c470b240049780,DAFE-FD: Density Aware Feature Enrichment for Face Detection,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu, 47d8d8ead70e26eb791c4dea5fe1a4d666ee2462,Single Image 3D without a Single 3D Image,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 47493ad6e6d5591086c8a2b812bfae85aae50193,On gradient regularizers for MMD GANs,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, @@ -754,8 +927,10 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 47203943c86e4d9355ffd99cd3d75f37211fd805,Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 47203943c86e4d9355ffd99cd3d75f37211fd805,Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, 479eb6579194d4d944671dfe5e90b122ca4b58fd,Structural inference embedded adversarial networks for scene parsing,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, -479eb6579194d4d944671dfe5e90b122ca4b58fd,Structural inference embedded adversarial networks for scene parsing,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +479eb6579194d4d944671dfe5e90b122ca4b58fd,Structural inference embedded adversarial networks for scene parsing,China,China,China,35.86166000,104.19539700,edu, +479eb6579194d4d944671dfe5e90b122ca4b58fd,Structural inference embedded adversarial networks for scene parsing,China,China,China,35.86166000,104.19539700,edu, 4747d169a5d6b48febfa111a8b28680159eb3bb2,Detecting People in Artwork with CNNs,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, +471befc1b5167fcfbf5280aa7f908eff0489c72b,Class-Specific Kernel-Discriminant Analysis for Face Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 476f4b82c82a1b328b750ac0f7202a7737a11734,Can surgical simulation be used to train detection and classification of neural networks?,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 473366f025c4a6e0783e6174ca914f9cb328fe70,Review of Action Recognition and Detection Methods,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, 471635c61fffa75cd09121b14e4da155c667c5bf,Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, @@ -765,7 +940,9 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 99daa2839213f904e279aec7cef26c1dfb768c43,DocFace: Matching ID Document Photos to Selfies,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 992eca71ee8314ede9bf680b6966730f6bb77bc5,Likability’s Effect on Interpersonal Motor Coordination: Exploring Natural Gaze Direction,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 992eca71ee8314ede9bf680b6966730f6bb77bc5,Likability’s Effect on Interpersonal Motor Coordination: Exploring Natural Gaze Direction,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +993d189548e8702b1cb0b02603ef02656802c92b,Highly-Economized Multi-View Binary Compression for Scalable Image Clustering,Harbin Institute of Technology (Shenzhen),Harbin Institute of Technology (Shenzhen),"China, Guangdong, Shenzhen, Nanshan, 平山一路",22.58675200,113.96878000,edu, 993d189548e8702b1cb0b02603ef02656802c92b,Highly-Economized Multi-View Binary Compression for Scalable Image Clustering,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +993d189548e8702b1cb0b02603ef02656802c92b,Highly-Economized Multi-View Binary Compression for Scalable Image Clustering,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 993d189548e8702b1cb0b02603ef02656802c92b,Highly-Economized Multi-View Binary Compression for Scalable Image Clustering,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 992b93ab9d016640551a8cebcaf4757288154f32,Nested Pictorial Structures,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 995495e36f4a2af999875ea4f197ca98c5e5c8de,Dynamic Task Prioritization for Multitask Learning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -774,25 +951,35 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 99911a8effd2ab3af4b4ba802920f3e1720a83e6,Integral Human Pose Regression,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, 9947687ffe0bd2d6cd4fe717e534cfcb59302a4e,Data-driven photographic style using local transfer,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 998cdde7c83a50f0abac69c7c3d20f3729a65d00,Redundancy effects in the perception and memory of visual objects,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, +99b7ff97ad54308b816e47d9bbf6704b787b8f52,Causal flow,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 999cdddf1ca23e4a72028d2a88537cf4a7aa9396,Hyperprior Induced Unsupervised Disentanglement of Latent Representations,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 995dd15671993b2165860c54bf5acbbe421c5f45,Learning a Context Aware Dictionary for Sparse Representation,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, +99d3bc6d62675297693e5e57ff0770e7017f9637,Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9941a52ef4db2eb338eec061a950af6a95f82510,Encoding Neuroanatomical Information using Weighted Spherical Harmonic Representation,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 994b52bf884c71a28b4f5be4eda6baaacad1beee,Categorizing Big Video Data on the Web: Challenges and Opportunities,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +994b52bf884c71a28b4f5be4eda6baaacad1beee,Categorizing Big Video Data on the Web: Challenges and Opportunities,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 995d55fdf5b6fe7fb630c93a424700d4bc566104,The One Triangle Three Parallelograms Sampling Strategy and Its Application in Shape Regression,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, 9901f473aeea177a55e58bac8fd4f1b086e575a4,Human and sheep facial landmarks localisation by triplet interpolated features,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 99c69fe118efbc47efc91ceaa3b2e711405eef20,Scale-Adaptive Convolutions for Scene Parsing,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +99c69fe118efbc47efc91ceaa3b2e711405eef20,Scale-Adaptive Convolutions for Scene Parsing,China,China,China,35.86166000,104.19539700,edu, 99c69fe118efbc47efc91ceaa3b2e711405eef20,Scale-Adaptive Convolutions for Scene Parsing,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66,Human Pose Estimation Using Global and Local Normalization,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66,Human Pose Estimation Using Global and Local Normalization,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 9937a4d3fa66c0eea48b2090b5a9b6c51a1cce66,Human Pose Estimation Using Global and Local Normalization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 99029377dac51a3f60063f61cdc5471866c348be,Making Third Person Techniques Recognize First-Person Actions in Egocentric Videos,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, +99cb716cd7687db8ef3d0403c85b1ab90869800f,FACE RECOGNITION UNDER POSE AND EXPRESIVITY VARIATION USING THERMAL AND VISIBLE IMAGES,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, 99b41df501f25f4aee9c1f94a75510b2fbcc6bed,Title Impaired social brain network for processing dynamic facialexpressions in autism spectrum disorders,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, +99c57ec53f2598d63c010f791adbca386b276919,Landmark-Guided Local Deep Neural Networks for Age and Gender Classification,China,China,China,35.86166000,104.19539700,edu, +99c57ec53f2598d63c010f791adbca386b276919,Landmark-Guided Local Deep Neural Networks for Age and Gender Classification,China,China,China,35.86166000,104.19539700,edu, +99c57ec53f2598d63c010f791adbca386b276919,Landmark-Guided Local Deep Neural Networks for Age and Gender Classification,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 99bc96eea249e28b3e741fbe15757a38d52631bc,Streaming Behaviour : Live Streaming as a Paradigm for Multiview Analysis of Emotional and Social Signals,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 99bc96eea249e28b3e741fbe15757a38d52631bc,Streaming Behaviour : Live Streaming as a Paradigm for Multiview Analysis of Emotional and Social Signals,"London, United Kingdom","London, United Kingdom","London, Greater London, England, SW1A 2DU, UK",51.50732190,-0.12764740,edu, 99bc96eea249e28b3e741fbe15757a38d52631bc,Streaming Behaviour : Live Streaming as a Paradigm for Multiview Analysis of Emotional and Social Signals,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 99bc96eea249e28b3e741fbe15757a38d52631bc,Streaming Behaviour : Live Streaming as a Paradigm for Multiview Analysis of Emotional and Social Signals,"London, United Kingdom","London, United Kingdom","London, Greater London, England, SW1A 2DU, UK",51.50732190,-0.12764740,edu, 99facca6fc50cc30f13b7b6dd49ace24bc94f702,VIPLFaceNet: an open source deep face recognition SDK,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 99facca6fc50cc30f13b7b6dd49ace24bc94f702,VIPLFaceNet: an open source deep face recognition SDK,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +99726ad232cef837f37914b63de70d8c5101f4e2,Facial Expression Recognition Using PCA & Distance Classifier,India,India,India,20.59368400,78.96288000,edu, +99726ad232cef837f37914b63de70d8c5101f4e2,Facial Expression Recognition Using PCA & Distance Classifier,India,India,India,20.59368400,78.96288000,edu, 999289b0ef76c4c6daa16a4f42df056bf3d68377,The Role of Color and Contrast in Facial Age Estimation,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 999289b0ef76c4c6daa16a4f42df056bf3d68377,The Role of Color and Contrast in Facial Age Estimation,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 99e9ae76ee720314a90968be5f889d233c67054c,A Window to Your Smartphone: Exploring Interaction and Communication in Immersive VR with Augmented Virtuality,Memorial University of Newfoundland,Memorial University of Newfoundland,"Memorial University of Newfoundland, Overpass, St. John's, Newfoundland and Labrador, A1B 5S7, Canada",47.57272510,-52.73305444,edu, @@ -802,6 +989,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 99eddbd03e39c86260e282c7a0993617710d5cb1,An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 99eddbd03e39c86260e282c7a0993617710d5cb1,An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 99783c792947f17e41c94ddaac31766277809049,Switching Convolutional Neural Network for Crowd Counting,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +99783c792947f17e41c94ddaac31766277809049,Switching Convolutional Neural Network for Crowd Counting,India,India,India,20.59368400,78.96288000,edu, 9902acd6ce7662c93ee2bd41c6c11a6b99ad8754,Robust Multimodal Biometric System using Markov Chain based Rank Level Fusion,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, 9952d6630a2fcadf34e356de07ebd2254651c95e,Dual-Feature Bayesian MAP Classification: Exploiting Temporal Information for Video-Based Face Recognition,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, 9952d6630a2fcadf34e356de07ebd2254651c95e,Dual-Feature Bayesian MAP Classification: Exploiting Temporal Information for Video-Based Face Recognition,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, @@ -810,6 +998,8 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 29db046dd1f8100b279c3f5f5c5ef19bdbf5af9a,Recent Progress of Face Image Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 290a96c9aa653eb6dd64d5b0fa5bae7bf208ae14,Joint Pose and Expression Modeling for Facial Expression Recognition,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, 29954bf080407f23c8ac140202bd2ae5a48fdede,Abnormal Event Detection Based on Saliency Information,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +29954bf080407f23c8ac140202bd2ae5a48fdede,Abnormal Event Detection Based on Saliency Information,China,China,China,35.86166000,104.19539700,edu, +29954bf080407f23c8ac140202bd2ae5a48fdede,Abnormal Event Detection Based on Saliency Information,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 29fa7b334543b6b6a4927ea2c7ae4c6fa8f6a7c4,Latent Boosting for Action Recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 29fa7b334543b6b6a4927ea2c7ae4c6fa8f6a7c4,Latent Boosting for Action Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 2912c3ea67678a1052d7d5cbe734a6ad90fc360e,Facial Feature Detection using a Virtual Structuring Element,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, @@ -820,21 +1010,25 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 299b65d5d3914dad9aae2f936165dcebcf78db88,Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA" 299b65d5d3914dad9aae2f936165dcebcf78db88,Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA" 2911e7f0fb6803851b0eddf8067a6fc06e8eadd6,Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, -291265db88023e92bb8c8e6390438e5da148e8f5,MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +291265db88023e92bb8c8e6390438e5da148e8f5,MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 29a8492f5aaa212ad81c2e903c73937e7ced73ee,High-precision Immune Computation for Secure Face Recognition,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu, 29a8492f5aaa212ad81c2e903c73937e7ced73ee,High-precision Immune Computation for Secure Face Recognition,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu, 29a8492f5aaa212ad81c2e903c73937e7ced73ee,High-precision Immune Computation for Secure Face Recognition,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 29b96e41948e35a5bc4a9e7ae978808bc5b0c841,Automatic collection of Web video shots corresponding to specific actions using Web images,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, +29b96e41948e35a5bc4a9e7ae978808bc5b0c841,Automatic collection of Web video shots corresponding to specific actions using Web images,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, 29f4ac49fbd6ddc82b1bb697820100f50fa98ab6,The benefits and challenges of collecting richer object annotations,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 297d3df0cf84d24f7efea44f87c090c7d9be4bed,Appearance-Based 3-D Face Recognition from Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 297d3df0cf84d24f7efea44f87c090c7d9be4bed,Appearance-Based 3-D Face Recognition from Video,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 29445acb03961fb27ac9221875c0a25171502144,An Efficient Face Tracker Using Active Shape Model,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, 29445acb03961fb27ac9221875c0a25171502144,An Efficient Face Tracker Using Active Shape Model,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +299eb74b2a553c6ff1e3d756a19cfe6ac4b133a0,Face recognition by independent component analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 29921072d8628544114f68bdf84deaf20a8c8f91,Multi-task Curriculum Transfer Deep Learning of Clothing Attributes,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 29639a071f67a6867000b53bcb97b37b3d090319,Gait Identification Considering Body Tilt by Walking Direction Changes,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 2983efadb1f2980ab5ef20175f488f77b6f059d7,◆ 4 ◆ EMOTION IN HUMAN – COMPUTER INTERACTION,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 29be6e76d9ed777ca032c40a6ab374a44bde38bd,Latent SVMs for Human Detection with a Locally Affine Deformation Field,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +29be6e76d9ed777ca032c40a6ab374a44bde38bd,Latent SVMs for Human Detection with a Locally Affine Deformation Field,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 29be6e76d9ed777ca032c40a6ab374a44bde38bd,Latent SVMs for Human Detection with a Locally Affine Deformation Field,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, +29be6e76d9ed777ca032c40a6ab374a44bde38bd,Latent SVMs for Human Detection with a Locally Affine Deformation Field,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 2976605dc3b73377696537291d45f09f1ab1fbf5,Cross-Stitch Networks for Multi-task Learning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 2969f822b118637af29d8a3a0811ede2751897b5,Cascaded Shape Space Pruning for Robust Facial Landmark Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 293909c2b4c18982fa0aafe714081ecfbd23b580,Pedestrian monitoring techniques for crowd-fl ow prediction,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, @@ -843,6 +1037,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 293909c2b4c18982fa0aafe714081ecfbd23b580,Pedestrian monitoring techniques for crowd-fl ow prediction,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 29a606ba5b9ae9bc16d05a832d4e54d769c63dae,Activation of mGluR2/3 underlies the effects of N-acetylcystein on amygdala-associated autism-like phenotypes in a valproate-induced rat model of autism,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, 29a606ba5b9ae9bc16d05a832d4e54d769c63dae,Activation of mGluR2/3 underlies the effects of N-acetylcystein on amygdala-associated autism-like phenotypes in a valproate-induced rat model of autism,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, +29b1a44d1e1ffa05c2bf7f4be931c5045f427718,ON GENERIC OBJECT RECOGNITION TECHNIQUES : CHALLENGES AND OPPORTUNITIES Prof,India,India,India,20.59368400,78.96288000,edu, 29631ca6cff21c9199c70bcdbbcd5f812d331a96,Error Rates in Users of Automatic Face Recognition Software,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, 29631ca6cff21c9199c70bcdbbcd5f812d331a96,Error Rates in Users of Automatic Face Recognition Software,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 290941887c37547462285152ff82796ad71dd757,Snuba: Automating Weak Supervision to Label Training Data,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -863,9 +1058,11 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 29088f1c9cda9c4a7b75d7aa365aecea003b7a28,Spontaneous facial expression in unscripted social interactions can be measured automatically.,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 29088f1c9cda9c4a7b75d7aa365aecea003b7a28,Spontaneous facial expression in unscripted social interactions can be measured automatically.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 29088f1c9cda9c4a7b75d7aa365aecea003b7a28,Spontaneous facial expression in unscripted social interactions can be measured automatically.,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +29c340c83b3bbef9c43b0c50b4d571d5ed037cbd,Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 29c340c83b3bbef9c43b0c50b4d571d5ed037cbd,Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 29cbbed59a47566851deb63602a34c08e9ad3645,Improving Multi-Person Pose Estimation using Label Correction,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu, 29c417764fa56bfe7ad64d02ae686a61f15e90b9,The heart-break of social rejection versus the brain wave of social acceptance.,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +29619496c688f8400a90fef79b4fa756967ed0f7,Head Gesture Recognition: A Literature Review,India,India,India,20.59368400,78.96288000,edu, 2981465359a1acb7d1a2881a63c520b5b99aa6a2,PATTERN RECOGNITION WITH LOCAL INVARIANT FEATURES,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 291e6f2a365913100de8bd1071810b8155095f08,Efficient and Exact MAP-MRF Inference using Branch and Bound,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 29732d196d199acdb9d5122207b4613bb3aedf8e,Neural correlates of affective context in facial expression analysis: A simultaneous EEG-fNIRS study,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, @@ -876,9 +1073,12 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 29fc4de6b680733e9447240b42db13d5832e408f,Recognition of Facial Expressions Based on Tracking and Selection of Discriminative Geometric Features,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu, 29fc4de6b680733e9447240b42db13d5832e408f,Recognition of Facial Expressions Based on Tracking and Selection of Discriminative Geometric Features,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, 29fc4de6b680733e9447240b42db13d5832e408f,Recognition of Facial Expressions Based on Tracking and Selection of Discriminative Geometric Features,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, +29c23c7d5d70aef54168ba20dccdd14f570901a3,Duplicate Discovery on 2 Billion Internet Images,China,China,China,35.86166000,104.19539700,edu, 2914e8c62f0432f598251fae060447f98141e935,ACTIVITY ANALYSIS OF SPECTATOR PERFORMER VIDEOS USING MOTION TRAJECTORIES,University of Nebraska - Lincoln,University of Nebraska - Lincoln,"Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA",40.81747230,-96.70444680,edu, 2917808d9018386af42e249ba4fb94bafcda54e5,Compact CNN for indexing egocentric videos,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, +2917808d9018386af42e249ba4fb94bafcda54e5,Compact CNN for indexing egocentric videos,India,India,India,20.59368400,78.96288000,edu, 2902f62457fdf7e8e8ee77a9155474107a2f423e,Non-rigid 3D Shape Registration using an Adaptive Template,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +29d3ed0537e9ef62fd9ccffeeb72c1beb049e1ea,Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation,India,India,India,20.59368400,78.96288000,edu, 29d3ed0537e9ef62fd9ccffeeb72c1beb049e1ea,Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 29d3ed0537e9ef62fd9ccffeeb72c1beb049e1ea,Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, 29ed326a7da1678880db02e5d0e7cb7376dffb98,A square-root sampling approach to fast histogram-based search,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -888,8 +1088,10 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 291e5377df2eec4835b5c6889896941831a11c69,Recovering 6D Object Pose: Multi-modal Analyses on Challenges,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 291e5377df2eec4835b5c6889896941831a11c69,Recovering 6D Object Pose: Multi-modal Analyses on Challenges,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 291f527598c589fb0519f890f1beb2749082ddfd,Seeing People in Social Context: Recognizing People and Social Relationships,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, -29b737cdb317e47e7cc219b438ea38e8fdceb45c,Approximate Distribution Matching for Sequence-to-Sequence Learning,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +29b737cdb317e47e7cc219b438ea38e8fdceb45c,Approximate Distribution Matching for Sequence-to-Sequence Learning,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, +294bd7eb5dc24052237669cdd7b4675144e22306,Automatic Face Annotation,India,India,India,20.59368400,78.96288000,edu, 2954deae38c40a244f6a9c0714987d786c69db7c,Human detection and pose estimation for motion picture logging and visualisation,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +299ca90452aa8a7dd517de3ff3c9bf224d5100c7,Dynamic Scene Classification Using Redundant Spatial Scenelets,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 297c27c74e5cc731b5bd1ad95726b4192e3b902d,Face Super-Resolution Guided by Facial Component Heatmaps,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 29b3be93a60bbc5fe842826030853f99753b08bd,Hierarchical Scene Annotation,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 2953fa360c79f2c77bbc53c8154f49136333bfa6,Compact Tensor Pooling for Visual Question Answering,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, @@ -897,6 +1099,9 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 298f1bffed274e890e0a09b38cfca42020fd1462,Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 298f1bffed274e890e0a09b38cfca42020fd1462,Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 298c2d1ff57d2164792a68f0d93ca2c257dad288,Automated Recognition of Paralinguistic Signals in Spoken Dialogue Systems : Ways of Improvement,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu, +298c2d1ff57d2164792a68f0d93ca2c257dad288,Automated Recognition of Paralinguistic Signals in Spoken Dialogue Systems : Ways of Improvement,Russia,Russia,Russia,61.52401000,105.31875600,edu, +29bcf87f48a5b4e2f06f20761cbc376d56df5f13,Face Recognition using PCA and SVM with Surf Technique,India,India,India,20.59368400,78.96288000,edu, +29bcf87f48a5b4e2f06f20761cbc376d56df5f13,Face Recognition using PCA and SVM with Surf Technique,India,India,India,20.59368400,78.96288000,edu, 291dba3baa7d42f1e30b26a714e525cb73c05af1,Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 29479bb4fe8c04695e6f5ae59901d15f8da6124b,Multiple instance learning for labeling faces in broadcasting news video,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 29479bb4fe8c04695e6f5ae59901d15f8da6124b,Multiple instance learning for labeling faces in broadcasting news video,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -907,11 +1112,14 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 297c4503a18a959e3a06613d5e7e026ba351b9bf,Neurolaw: Differential brain activity for black and white faces predicts damage awards in hypothetical employment discrimination cases.,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 297c4503a18a959e3a06613d5e7e026ba351b9bf,Neurolaw: Differential brain activity for black and white faces predicts damage awards in hypothetical employment discrimination cases.,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 2970841968246454647be45f0a8ec7fd4a98ab31,"A Fast Scheme for Detecting , Localizing and Grouping Similarly Looking Faces in Random Images",Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu, +2970841968246454647be45f0a8ec7fd4a98ab31,"A Fast Scheme for Detecting , Localizing and Grouping Similarly Looking Faces in Random Images",UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, +2970841968246454647be45f0a8ec7fd4a98ab31,"A Fast Scheme for Detecting , Localizing and Grouping Similarly Looking Faces in Random Images",a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 29e5eb3bff4c198072048bf76c7b62694110bada,CS 231 N Project : Facial Expression Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +9b95153e4d3972d59fabef0fddce9b7207836b1b,Nonlinear Discrete Hashing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9b0489f2d5739213ef8c3e2e18739c4353c3a3b7,Visual Data Augmentation through Learning,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 9b0489f2d5739213ef8c3e2e18739c4353c3a3b7,Visual Data Augmentation through Learning,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu, 9b2a272d4526b3eeeda0beb0d399074d5380a2b3,Learning to Align Images Using Weak Geometric Supervision,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, -9b2a272d4526b3eeeda0beb0d399074d5380a2b3,Learning to Align Images Using Weak Geometric Supervision,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +9b2a272d4526b3eeeda0beb0d399074d5380a2b3,Learning to Align Images Using Weak Geometric Supervision,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 9b612900baf8a9f9fbbbded8de37dca9157942a1,Evaluating OpenFace: an open-source automatic facial comparison algorithm for forensics,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 9bd9050c53d90dfa86cb22501812afe6fc897406,Fine-Grained and Layered Object Recognition,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, 9bd9050c53d90dfa86cb22501812afe6fc897406,Fine-Grained and Layered Object Recognition,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, @@ -920,23 +1128,29 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 9b928c0c7f5e47b4480cb9bfdf3d5b7a29dfd493,Close the loop: Joint blind image restoration and recognition with sparse representation prior,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 9b928c0c7f5e47b4480cb9bfdf3d5b7a29dfd493,Close the loop: Joint blind image restoration and recognition with sparse representation prior,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, 9b1bcef8bfef0fb5eb5ea9af0b699aa0534fceca,Position-Squeeze and Excitation Block for Facial Attribute Analysis,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +9b1bcef8bfef0fb5eb5ea9af0b699aa0534fceca,Position-Squeeze and Excitation Block for Facial Attribute Analysis,China,China,China,35.86166000,104.19539700,edu, 9b9b6d34deebb534de66017381be7578e13b761d,"Essays on Information , Technology and Information Worker Productivity",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 9bd35145c48ce172b80da80130ba310811a44051,Face Detection with End-to-End Integration of a ConvNet and a 3D Model,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 9bd35145c48ce172b80da80130ba310811a44051,Face Detection with End-to-End Integration of a ConvNet and a 3D Model,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, 9b9f3ec91e8ba185b0c7fd7545b0721e0cba9ba7,Regularity Guaranteed Human Pose Correction,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +9b693c71cc89e2d2f41b6ab5cc0f62ca59c6d128,Recognizing Unseen Attribute-Object Pair with Generative Model,China,China,China,35.86166000,104.19539700,edu, 9b246c88a0435fd9f6d10dc88f47a1944dd8f89e,PiCoDes: Learning a Compact Code for Novel-Category Recognition,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, -9b246c88a0435fd9f6d10dc88f47a1944dd8f89e,PiCoDes: Learning a Compact Code for Novel-Category Recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +9b246c88a0435fd9f6d10dc88f47a1944dd8f89e,PiCoDes: Learning a Compact Code for Novel-Category Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 9b2607d4a8f7252bf13628afa1b5e5cb55ca65a6,Seeing the face through the eyes: a developmental perspective on face expertise.,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +9bcfa6d23ea628ccfabf6900ef05437e7cecb1c6,A Hybrid Approach for Secure Biometric Authentication Using Fusion of Iris and Ear,India,India,India,20.59368400,78.96288000,edu, 9bd7f95a4c752a44e96d2205ceb6fcefe9232c8b,Fine-grained Video Captioning for Sports Narrative,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 9bda68ea52bddf5365e3230761c95424ff1ddec5,SSP: Supervised Sparse Projections for Large-Scale Retrieval in High Dimensions,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 9b2c359c36c38c289c5bacaeb5b1dd06b464f301,Dense Face Alignment,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 9b75cc65a03e5d817c89d71b24404e791f79eb6a,TextureGAN: Controlling Deep Image Synthesis with Texture Patches,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 9bfda2f5144867d5712a8fcbea9dd5fa69d3312b,Image Super-Resolution Using VDSR-ResNeXt and SRCGAN,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +9b666e20f570387214926eee542965f3fbe3cfce,Side Information for Face Completion: a Robust PCA Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +9b666e20f570387214926eee542965f3fbe3cfce,Side Information for Face Completion: a Robust PCA Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9bfe2732a905cb0aab370d1146a29b9d4129321d,SOCIAL JUDGMENTS ARE INFLUENCED BY BOTH FACIAL EXPRESSION AND DIRECTION OF EYE GAZE,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 9bfe2732a905cb0aab370d1146a29b9d4129321d,SOCIAL JUDGMENTS ARE INFLUENCED BY BOTH FACIAL EXPRESSION AND DIRECTION OF EYE GAZE,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, 9be696618cfcea90879747a8512f21b10cceac48,Structural Consistency and Controllability for Diverse Colorization,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 9ba3e2b8b678910c4fdf379c278dbc007c19aa38,Face Verification via ECOC,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 9babe1957e56fadebb32a64338d54fce794c7094,An Enhanced Sparse Representation Strategy for Signal Classification,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, +9b4e90866c1f096a57383fb7320ac9d516a2f88d,Towards lightweight convolutional neural networks for object detection,Russia,Russia,Russia,61.52401000,105.31875600,edu, 9b48372c7adb3780873df7c6d4134f93c2b0aebb,Robust multilinear principal component analysis,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 9bac3639b2671dcdbdbbd36e8e9022d7334a3796,VSE++: Improving Visual-Semantic Embeddings with Hard Negatives,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 9bd0c4082a13de0be6c7daba999b55061011f3a5,1-2011 Image Matching with Distinctive Visual Vocabulary,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -944,10 +1158,13 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 9bd0c4082a13de0be6c7daba999b55061011f3a5,1-2011 Image Matching with Distinctive Visual Vocabulary,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 9bd0c4082a13de0be6c7daba999b55061011f3a5,1-2011 Image Matching with Distinctive Visual Vocabulary,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 9bd0c4082a13de0be6c7daba999b55061011f3a5,1-2011 Image Matching with Distinctive Visual Vocabulary,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, -9bbc952adb3e3c6091d45d800e806d3373a52bac,Learning Visual Classifiers using Human-centric Annotations,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +9bbc952adb3e3c6091d45d800e806d3373a52bac,Learning Visual Classifiers using Human-centric Annotations,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 9be653e1bc15ef487d7f93aad02f3c9552f3ee4a,Computer Vision for Head Pose Estimation: Review of a Competition,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, 9b7878eb0681d107a3892c2a166beeb6c0e2d36f,A vision-grounded dataset for predicting typical locations for verbs,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +9b7878eb0681d107a3892c2a166beeb6c0e2d36f,A vision-grounded dataset for predicting typical locations for verbs,University of California at Berkeley,"International Computer Science Institute, University of California at Berkeley, Berkeley, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu, 9b8d73e83c111268745311e03f0c0f7f6c92c9f0,Incremental Convolutional Neural Network Training,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +9b8d73e83c111268745311e03f0c0f7f6c92c9f0,Incremental Convolutional Neural Network Training,Finland,Finland,Finland,61.92411000,25.74815110,edu, +9b8d73e83c111268745311e03f0c0f7f6c92c9f0,Incremental Convolutional Neural Network Training,Finland,Finland,Finland,61.92411000,25.74815110,edu, 9bd36eff633c52c6f6e8ead009367f6b6c43f16f,"Image tag refinement towards low-rank, content-tag prior and error sparsity",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 9bd36eff633c52c6f6e8ead009367f6b6c43f16f,"Image tag refinement towards low-rank, content-tag prior and error sparsity","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 9bd36eff633c52c6f6e8ead009367f6b6c43f16f,"Image tag refinement towards low-rank, content-tag prior and error sparsity",Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, @@ -957,20 +1174,28 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 9be94fa0330dd493f127d51e4ef7f9fd64613cfc,Effects of pose and image resolution on automatic face recognition,North Dakota State University,North Dakota State University,"North Dakota State University, 15th Avenue North, Fargo, Cass County, North Dakota, 58102, USA",46.89715500,-96.81827603,edu, 9be94fa0330dd493f127d51e4ef7f9fd64613cfc,Effects of pose and image resolution on automatic face recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 9b93406f3678cf0f16451140ea18be04784faeee,A Bayesian Approach to Alignment-Based Image Hallucination,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +13f07d51c073964d11f9af6463fe3ffe5475c393,"Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +130bf256f4cc3dded4fb701f74f6a34992be639b,A Robust Multiwavelet-Based Watermarking Scheme for Copyright Protection of Digital Images Using Human Visual System,India,India,India,20.59368400,78.96288000,edu, +130bf256f4cc3dded4fb701f74f6a34992be639b,A Robust Multiwavelet-Based Watermarking Scheme for Copyright Protection of Digital Images Using Human Visual System,India,India,India,20.59368400,78.96288000,edu, 133f1f2679892d408420d8092283539010723359,What Makes for Effective Detection Proposals?,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 131178dad3c056458e0400bed7ee1a36de1b2918,Visual Reranking through Weakly Supervised Multi-graph Learning,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 131178dad3c056458e0400bed7ee1a36de1b2918,Visual Reranking through Weakly Supervised Multi-graph Learning,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, -131178dad3c056458e0400bed7ee1a36de1b2918,Visual Reranking through Weakly Supervised Multi-graph Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +131178dad3c056458e0400bed7ee1a36de1b2918,Visual Reranking through Weakly Supervised Multi-graph Learning,"University of Technology, Sydney","University of Technology, Sydney, Australia","15 Broadway, Ultimo NSW 2007, Australia",-33.88323760,151.20049420,edu, 136112d29f8abfd8804f9b9c0e15d00f7c013c6c,Space-time tree ensemble for action recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, +136112d29f8abfd8804f9b9c0e15d00f7c013c6c,Space-time tree ensemble for action recognition,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 136112d29f8abfd8804f9b9c0e15d00f7c013c6c,Space-time tree ensemble for action recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 134aad8153ab78345b2581efac2fe175a3084154,Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 13d6dde8767ac7176dcd6d4367974292bc627863,Multi-attribute Queries: To Merge or Not to Merge?,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 13d6dde8767ac7176dcd6d4367974292bc627863,Multi-attribute Queries: To Merge or Not to Merge?,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, 13d6dde8767ac7176dcd6d4367974292bc627863,Multi-attribute Queries: To Merge or Not to Merge?,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 1343f43e231d793a0bb45eb13ae2560e99aff6e1,Measuring Image Distances via Embedding in a Semantic Manifold,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, +134db6ca13f808a848321d3998e4fe4cdc52fbc2,Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 13ac93950986fc023d45e9647197d80b86fa4867,Subspace clustering applied to face images,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 131125a5aadb48ec3eceb404cedbff713c401feb,Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 131125a5aadb48ec3eceb404cedbff713c401feb,Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d,Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d,Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d,Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 133b0d480a8fac7c7e0c7511b5bdb0dc7d387d42,This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 133b0d480a8fac7c7e0c7511b5bdb0dc7d387d42,This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 1337acf12805a24968c0518e695ca94f103e630f,A Topic Model Approach to Represent and Classify American Football Plays,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -979,6 +1204,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 133477ccff666305d183cf1c35dcee40d0f2955a,Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, 133477ccff666305d183cf1c35dcee40d0f2955a,Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, 13c0c418df650ad94ac368c81e2133ec9e166381,Mid-level deep pattern mining,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +13c0c418df650ad94ac368c81e2133ec9e166381,Mid-level deep pattern mining,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 139302f87b4a23dad87b2f3a2187593f18bcd68c,Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 139302f87b4a23dad87b2f3a2187593f18bcd68c,Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 139302f87b4a23dad87b2f3a2187593f18bcd68c,Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking.,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, @@ -992,9 +1218,10 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 1389ba6c3ff34cdf452ede130c738f37dca7e8cb,A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection.,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, 1328c0a8a357b303f6e853581360370ef2975612,Obtaining MPEG-4 compliant animatable 3D face models by using TPS method,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, 13b1b18b9cfa6c8c44addb9a81fe10b0e89db32a,A Hierarchical Deep Temporal Model for Group Activity Recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, +133f01aec1534604d184d56de866a4bd531dac87,Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 133b982a3c8f5ea44242f44fbd47f5e684664fc4,A Novel Stereo based Obstacle Avoidance System for Unmanned Aerial Vehicles,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 133b982a3c8f5ea44242f44fbd47f5e684664fc4,A Novel Stereo based Obstacle Avoidance System for Unmanned Aerial Vehicles,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, -131e9edbe4b0322a467b7e8c35f6b0c0ca750e21,Contextual Action Recognition with R*CNN,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +131e9edbe4b0322a467b7e8c35f6b0c0ca750e21,Contextual Action Recognition with R*CNN,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 132d6e171b811da9af5f772bd83c78d744214429,OBJECT SEGMENTATION BASED ON COMMON INFORMATION BETWEEN IMAGES,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu, 135c957f6a80f250507c7707479e584c288f430f,Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 13791aa7c1047724c4046eee94e66a506b211eb9,Real-time Gender Classification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -1005,34 +1232,44 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 1319dbeaa28f8a9b19e03a7631e96393e08a07fa,Gender Recognition Using Fusion of Local and Global Facial Features,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, 13af83892724343cfdf88debbf00ea1343a10db1,Impact of involuntary subject movement on 3D face scans,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 13af83892724343cfdf88debbf00ea1343a10db1,Impact of involuntary subject movement on 3D face scans,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, -131e00d1296a952ed236bc264dc16f7e486c6e79,Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -131e00d1296a952ed236bc264dc16f7e486c6e79,Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +131e00d1296a952ed236bc264dc16f7e486c6e79,Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +131e00d1296a952ed236bc264dc16f7e486c6e79,Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 13a94d8f5eafbbf411c9a70e1b30937a532664ef,Non-rigid registration of 3D surfaces by deformable 2D triangular meshes,Bogazici University,Bogazici University,"Boğaziçi Üniversitesi Kuzey Yerleşkesi, Okulaltı 1. Sokak, Rumelihisarı, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34467, Türkiye",41.08688410,29.04413167,edu, 131e4c5bc16925ef105852cff8c09c1b294c5bea,FAST OBJECTS DETECTION BY VARIANCE-MAXIMIZATION LEARNING OF LIFTING WAVELET FILTERS,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 13d591220f9fdb22d81c2438a008c80843b61fd4,Boosting Multi-gabor Subspaces for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 13d591220f9fdb22d81c2438a008c80843b61fd4,Boosting Multi-gabor Subspaces for Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 139ee1b1d98e7ac9d659a5d1bbe8c75588539b29,Identification of EFHC2 as a quantitative trait locus for fear recognition in Turner syndrome.,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +134994ada9a22f82b81640948afde2252e5ad5f5,Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos,China,China,China,35.86166000,104.19539700,edu, +134994ada9a22f82b81640948afde2252e5ad5f5,Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos,China,China,China,35.86166000,104.19539700,edu, 134994ada9a22f82b81640948afde2252e5ad5f5,Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, +137239cd29634465f35ce261718efece57cfc617,Video Surveillance Classification-based Multiple Instance Object Retrieval : Evaluation and Dataset,Romania,Romania,Romania,45.94316100,24.96676000,edu, +137239cd29634465f35ce261718efece57cfc617,Video Surveillance Classification-based Multiple Instance Object Retrieval : Evaluation and Dataset,Romania,Romania,Romania,45.94316100,24.96676000,edu, 137239cd29634465f35ce261718efece57cfc617,Video Surveillance Classification-based Multiple Instance Object Retrieval : Evaluation and Dataset,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 134f1cee8408cca648d8b4ca44b38b0a7023af71,Partially Shared MultiTask Convolutional Neural Network with Local Constraint for Face Attribute Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 1320c42b348c5342c2ad6a60e3ded3ff0bd56f7f,"A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1320c42b348c5342c2ad6a60e3ded3ff0bd56f7f,"A Viewpoint Invariant, Sparsely Registered, Patch Based, Face Verifier",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +13604bbdb6f04a71dea4bd093794e46730b0a488,Robust Loss Functions under Label Noise for Deep Neural Networks,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 13604bbdb6f04a71dea4bd093794e46730b0a488,Robust Loss Functions under Label Noise for Deep Neural Networks,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 13604bbdb6f04a71dea4bd093794e46730b0a488,Robust Loss Functions under Label Noise for Deep Neural Networks,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 13719bbb4bb8bbe0cbcdad009243a926d93be433,Deep LDA-Pruned Nets for Efficient Facial Gender Classification,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 13c250fb740cb5616aeb474869db6ab11560e2a6,Learning Language–Vision Correspondences,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 1329206dbdb0a2b9e23102e1340c17bd2b2adcf5,Part-Based R-CNNs for Fine-Grained Category Detection,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 137aa2f891d474fce1e7a1d1e9b3aefe21e22b34,Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu, +132cc530230cb869318b0a9d81a717077895db38,Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks,India,India,India,20.59368400,78.96288000,edu, +132cc530230cb869318b0a9d81a717077895db38,Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks,India,India,India,20.59368400,78.96288000,edu, 1395f0561db13cad21a519e18be111cbe1e6d818,Semantic segmentation using regions and parts,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" 13f74a94d492919a1ff13af16e2df2ab1bedf04a,Selecting the Best Performing Rotation Invariant Patterns in Local Binary/Ternary Patterns,University of Bologna,Università di Bologna,"Via Zamboni, 33, 40126 Bologna BO, Italy",44.49623180,11.35415700,edu, 1362b43a76412ed9ac67fd182a72b9457cae5aed,Delving into egocentric actions,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +138cef9080f213f1ffc7900ade7c0e85ee8e7bf2,Bloodhound : Kinship Through Imaging,India,India,India,20.59368400,78.96288000,edu, 13b7b973458e12413ccf3df7174bcc56d1a9b070,LDD : Learned Detector and Descriptor of Points for Visual Odometry,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, 132045bbf158060cbbb20f86f212ce89c4358eda,Role of Color in Face Recognition A Comparison Study Using Traditional and New Face Recognition Algorithms,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 13be4f13dac6c9a93f969f823c4b8c88f607a8c4,Family in the Wild (FIW): A Large-scale Kinship Recognition Database,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 13a39916d0459879703ce20f960726c5fb7269f1,"ExpNet: Landmark-Free, Deep, 3D Facial Expressions",Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu, 60c3b9a6622e359a90c384bf81fc0d46caacf469,Multimodal Visual Concept Learning with Weakly Supervised Techniques,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, 60bd27eed0ea7294609566bae2675f544c6572a8,Joint Dictionaries for Zero-Shot Learning,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +60cc2e8abc20c145727e7089c55bdba5722436d0,Higher Order Matching for Consistent Multiple Target Tracking,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu, 60aa6b163fd8bc16965807fdd47634bedb04989d,Autonomous exploration using rapid perception of low-resolution image information,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, +6047e9af00dcffbd2effbfa600735eb111f7de65,A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6043006467fb3fd1e9783928d8040ee1f1db1f3a,Face recognition with learning-based descriptor,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 6043006467fb3fd1e9783928d8040ee1f1db1f3a,Face recognition with learning-based descriptor,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 6043006467fb3fd1e9783928d8040ee1f1db1f3a,Face recognition with learning-based descriptor,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, @@ -1040,8 +1277,10 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 60c699b9ec71f7dcbc06fa4fd98eeb08e915eb09,Long-term video interpolation with bidirectional predictive network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 601f184fe6c5c382c0d56a423d640ad70ad3c88e,Identity but not expression memory for unfamiliar faces is affected by ageing.,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, 608dede56161fd5f76bcf9228b4dd8c639d65b02,SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +608dede56161fd5f76bcf9228b4dd8c639d65b02,SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, 608305c25aae19dd346153dadedac851f0b7f9ff,A Fisher Kernel Approach for Multiple Instance Based Object Retrieval in Video Surveillance,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, 60496b400e70acfbbf5f2f35b4a49de2a90701b5,Avoiding Boosting Overfitting by Removing Confusing Samples,Moscow State University,Moscow State University,"ul. Leninskiye Gory, 1, Moskva, Russia, 119991",55.70393490,37.52866960,edu, +60496b400e70acfbbf5f2f35b4a49de2a90701b5,Avoiding Boosting Overfitting by Removing Confusing Samples,Russia,Russia,Russia,61.52401000,105.31875600,edu, 606e920681b6bd2910a1cccda2403ba7e361a3a9,Feedback Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 606ee88d9600b332ffae5cd7992a817f9aa996af,Learning Deep Representations with Probabilistic Knowledge Transfer,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 60d5e6495fe87a09ceb7c39db8923f9957809a81,Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, @@ -1057,19 +1296,24 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 60d4cef56efd2f5452362d4d9ac1ae05afa970d1,Learning End-to-end Video Classification with Rank-Pooling,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 60737db62fb5fab742371709485e4b2ddf64b7b2,Crowdsourced Selection on Multi-Attribute Data,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 6008213e4270e88cb414459de759c961469b92dd,"Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning",University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +601834a4150e9af028df90535ab61d812c45082c,A short review and primer on using video for psychophysiological observations in human-computer interaction applications,Finland,Finland,Finland,61.92411000,25.74815110,edu, 600f164c81dbaa0327e7bd659fd9eb7f511f9e9a,A benchmark study of large-scale unconstrained face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +600f164c81dbaa0327e7bd659fd9eb7f511f9e9a,A benchmark study of large-scale unconstrained face recognition,China,China,China,35.86166000,104.19539700,edu, 60a20d5023f2bcc241eb9e187b4ddece695c2b9b,Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 601c9ac5859021c5c1321adeb38b177ebad346f0,Salient Color Names for Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 601c9ac5859021c5c1321adeb38b177ebad346f0,Salient Color Names for Person Re-identification,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 603e10c9dbadd51ad0938e32b730221c020d677d,It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 603bfd8e1230816526e213855c5de172443f9ee1,CAKE: a Compact and Accurate K-dimensional representation of Emotion,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015" +607850dc8e640c25f027f2eee202dee5605cf27c,A Survey on Face Detection and Recognition Techniques in Different Application Domain,India,India,India,20.59368400,78.96288000,edu, 60593c176ba39e8cb63ba6a7bf936553984bb67c,From Categories to Individuals in Real Time -- A Unified Boosting Approach,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +60ec284f67c1012419e5dea508d1bae4bc144bb2,Curvelet Based Multiresolution Analysis of Face Images for Recognition using Robust Local Binary Pattern Descriptor,India,India,India,20.59368400,78.96288000,edu, 601e0569028924cca9b5f1afbca6f52aa7212c39,Single View Stereo Matching,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 601e0569028924cca9b5f1afbca6f52aa7212c39,Single View Stereo Matching,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 603dee8661aa9bf0d7af6c61fe5fa2e85227f166,Customizing First Person Image Through Desired Actions,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 603dee8661aa9bf0d7af6c61fe5fa2e85227f166,Customizing First Person Image Through Desired Actions,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 603dee8661aa9bf0d7af6c61fe5fa2e85227f166,Customizing First Person Image Through Desired Actions,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 60542b1a857024c79db8b5b03db6e79f74ec8f9f,Learning to Detect Human-Object Interactions,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +60e2b9b2e0db3089237d0208f57b22a3aac932c1,Frankenstein: Learning Deep Face Representations Using Small Data,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 60eea6b85ba791ab85b198cfe7473adec29bcfd2,Video Question Answering via Attribute-Augmented Attention Network Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 603e4f77ca4b16c0e66cbd1759abbeb059abef41,Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 603e4f77ca4b16c0e66cbd1759abbeb059abef41,Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks,China University of Geosciences,"China University of Geosciences, Wuhan, China","388 Lumo Rd, Hongshan Qu, Wuhan Shi, Hubei Sheng, China, 430073",30.52715100,114.40076200,edu, @@ -1081,10 +1325,13 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 6069b4bc1a21341b77b49f01341c238c770d52e0,Comparing Kernel-based Learning Methods for Face Recognition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 6055ece6d5efaa219db45d8e9f8fbc9e1c9feb1f,Closing the AI Knowledge Gap,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 6090ebb9464986e458f8c37d2e08b042c88bf651,Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, +60f7de07de4d090990120483bd5407369b29a120,ℓ₁-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +60b66ec51ddadd132453f700d1781e8e7a8f78c8,Self-Validated Labeling of Markov Random Fields for Image Segmentation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 60c24e44fce158c217d25c1bae9f880a8bd19fc3,Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 6044b30751c19b3231782fb0475c9ca438940690,Real-time Action Recognition with Dissimilarity-based Training of Specialized Module Networks,Alexandria University,Alexandria University,"جامعة الإسكندرية, الكورنيش, إبراهيمية, الإسكندرية, 21522, مصر",31.21051105,29.91314562,edu, 778eefd9f0f6189456fc25b7cdd2c3f4403a37a8,Audiovisual diarization of people in video content,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 77a53d4141a8081657ce08b13dc3328ac4a4e689,You'll never walk alone: Modeling social behavior for multi-target tracking,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +77a53d4141a8081657ce08b13dc3328ac4a4e689,You'll never walk alone: Modeling social behavior for multi-target tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 779eb6a059990b9cee55e0add7bc34aed87b3733,3D Human Pose Estimation in the Wild by Adversarial Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 779eb6a059990b9cee55e0add7bc34aed87b3733,3D Human Pose Estimation in the Wild by Adversarial Learning,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 779eb6a059990b9cee55e0add7bc34aed87b3733,3D Human Pose Estimation in the Wild by Adversarial Learning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -1093,6 +1340,9 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 770e16c18589ebabc9596a54cd5eeab8cb8fe62e,Deterministic Stretchy Regression,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 776362314f1479f5319aaf989624ac604ba42c65,Attribute Learning in Large-Scale Datasets,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 774b649c75078e10759b3b6c8ea581e68fc45a40,Robust Anchor Embedding for Unsupervised Video Person re-IDentification in the Wild,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, +7711a7404f1f1ac3a0107203936e6332f50ac30c,Action Classification and Highlighting in Videos,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu, +7711a7404f1f1ac3a0107203936e6332f50ac30c,Action Classification and Highlighting in Videos,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu, +7754b708d6258fb8279aa5667ce805e9f925dfd0,Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 773ecf8cfa7e544ac48cf146b71df19146e1400e,Improving Shape Deformation in Unsupervised Image-to-Image Translation,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 773ecf8cfa7e544ac48cf146b71df19146e1400e,Improving Shape Deformation in Unsupervised Image-to-Image Translation,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, 779db93204bee4a9540db1e79ceb0b45e5af77e9,Learning actions from the Web,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, @@ -1102,14 +1352,19 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 774ae9c6b2a83c6891b5aeeb169cfd462d45f715,Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 7771807cd05f78a4591f2d0b094ddd3e0bd5339a,Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 77c53ec6ea448db4dad586e002a395c4a47ecf66,2879 Face Recognition Based on Facial Features,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu, -773a3ef780cefd6f312f52569f2b28384705cfa3,A Simple Hierarchical Pooling Data Structure for Loop Closure,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +773a3ef780cefd6f312f52569f2b28384705cfa3,A Simple Hierarchical Pooling Data Structure for Loop Closure,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 778ce81457383bd5e3fdb11b145ded202ebb4970,Semantic Compositional Networks for Visual Captioning,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +77acef6d0146465b9e9ad5817ad3e2c20ae64566,Informative Features for Model Comparison,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 77acef6d0146465b9e9ad5817ad3e2c20ae64566,Informative Features for Model Comparison,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 77acef6d0146465b9e9ad5817ad3e2c20ae64566,Informative Features for Model Comparison,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +77acef6d0146465b9e9ad5817ad3e2c20ae64566,Informative Features for Model Comparison,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 771431afa9b5c936dc970db8d02ae06f49d68638,TabletGaze : Dataset and Algorithm for Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu, +778952cc94d5baa5132ffbe2cf342f80032f5f73,Comparative Analysis of Techniques for the Recognition of Stabbed Wound and Accidental Wound Patterns,India,India,India,20.59368400,78.96288000,edu, 775c51b965e8ff37646a265aab64136b4a620526,Three viewpoints toward exemplar SVM,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, 77be85f6c3c465ef8e17d3ec6251794cf4ff5940,Generative Domain-Migration Hashing for Sketch-to-Image Retrieval,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +77be85f6c3c465ef8e17d3ec6251794cf4ff5940,Generative Domain-Migration Hashing for Sketch-to-Image Retrieval,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 771e78ccea7a03dd94bca10a7215dfe3b0f4623b,Supervised geodesic propagation for semantic label transfer,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +772d15efe06d741b4ab7c5524c5384406731a3f7,Random Sampling and Locality Constraint for Fast Face Sketch Synthesis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7735f63e5790006cb3d989c8c19910e40200abfc,Multispectral Imaging For Face Recognition Over Varying Illumination,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, 778b73effb652ab54c17de194e7ed38f58e5b5be,Measuring and increasing the capacity of Natural HOG Statistics,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 77875d6e4d8c7ed3baeb259fd5696e921f59d7ad,Style Aggregated Network for Facial Landmark Detection,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, @@ -1125,9 +1380,12 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 7710232a3d8bb1ef4ab0b5b6042bed19380bf0de,Image description with a goal: Building efficient discriminating expressions for images,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 7710232a3d8bb1ef4ab0b5b6042bed19380bf0de,Image description with a goal: Building efficient discriminating expressions for images,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 77fbbf0c5729f97fcdbfdc507deee3d388cd4889,Pose-Robust 3D Facial Landmark Estimation from a Single 2D Image,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, +7789a5d87884f8bafec8a82085292e87d4e2866f,A Unified Tensor-based Active Appearance Face Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7789a5d87884f8bafec8a82085292e87d4e2866f,A Unified Tensor-based Active Appearance Face Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7792fbc59f3eafc709323cdb63852c5d3a4b23e9,Pose from Action: Unsupervised Learning of Pose Features based on Motion,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 7792fbc59f3eafc709323cdb63852c5d3a4b23e9,Pose from Action: Unsupervised Learning of Pose Features based on Motion,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 77685c77a1fa39890006fe13f43738aac49a2c51,Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, +77685c77a1fa39890006fe13f43738aac49a2c51,Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning,China,China,China,35.86166000,104.19539700,edu, 77fe6c859a59ac4438794d38d018d1e3c02d36dd,The µ-opioid system promotes visual attention to faces and eyes.,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu, 77fe6c859a59ac4438794d38d018d1e3c02d36dd,The µ-opioid system promotes visual attention to faces and eyes.,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu, 77fe6c859a59ac4438794d38d018d1e3c02d36dd,The µ-opioid system promotes visual attention to faces and eyes.,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu, @@ -1135,11 +1393,16 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 77ee75f96e6498ccc7bb7ebcca2acd7cc4e33229,Sinkhorn AutoEncoders,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 77ee75f96e6498ccc7bb7ebcca2acd7cc4e33229,Sinkhorn AutoEncoders,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 77cfe37cd98910de3601795131305bea639a435a,Accelerated learning of Generalized Sammon Mappings,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +77cfe37cd98910de3601795131305bea639a435a,Accelerated learning of Generalized Sammon Mappings,Florida Institute of Technology,Florida Institute of Technology,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA",28.06468880,-80.62302200,edu, 9a912a17fceb5ec5a0ba230f74db2701d18a2937,Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 9a6268d2bc1221ea154097feadea0c58f234d02f,Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 9a6268d2bc1221ea154097feadea0c58f234d02f,Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 9a6268d2bc1221ea154097feadea0c58f234d02f,Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, 9ac43a98fe6fde668afb4fcc115e4ee353a6732d,Survey of Face Detection on Low-Quality Images,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,China,China,China,35.86166000,104.19539700,edu, +9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,China,China,China,35.86166000,104.19539700,edu, +9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,China,China,China,35.86166000,104.19539700,edu, +9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,China,China,China,35.86166000,104.19539700,edu, 9abd35b37a49ee1295e8197aac59bde802a934f3,Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 9a9570bfebd3c970879f8d99804e74093d9bb6e9,Living a discrete life in a continuous world: Reference with distributed representations,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, 9a9570bfebd3c970879f8d99804e74093d9bb6e9,Living a discrete life in a continuous world: Reference with distributed representations,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, @@ -1148,6 +1411,8 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 9a5c896a527fb6b72508d7a6309c5c375cb2967c,The IJCB 2014 PaSC video face and person recognition competition,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, 9a5c896a527fb6b72508d7a6309c5c375cb2967c,The IJCB 2014 PaSC video face and person recognition competition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 9a5c896a527fb6b72508d7a6309c5c375cb2967c,The IJCB 2014 PaSC video face and person recognition competition,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, +9abc9e3cadbec9139b39dfddb0de6c08b7aaf2d0,Pain Intensity Evaluation through Facial Action Units,"Lahore, Pakistan","Lahore, Pakistan","Lahore, Punjab, Pakistan",31.52036960,74.35874730,edu, +9abc9e3cadbec9139b39dfddb0de6c08b7aaf2d0,Pain Intensity Evaluation through Facial Action Units,"Lahore, Pakistan","Lahore, Pakistan","Lahore, Punjab, Pakistan",31.52036960,74.35874730,edu, 9aff91987c72f1e446532edbcdfe3480ed6875d1,A 2 D + 3 D Rich Data Approach to Scene Understanding by Jianxiong,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 9a0c7a4652c49a177460b5d2fbbe1b2e6535e50a,Automatic and quantitative evaluation of attribute discovery methods,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 9a36bbabea698a9fe0e11e2cf77a013dd7769f42,Predicting Aggressive Tendencies by Visual Attention Bias Associated with Hostile Emotions,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu, @@ -1175,15 +1440,23 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 9a4c45e5c6e4f616771a7325629d167a38508691,A facial features detector integrating holistic facial information and part-based model,Alexandria University,Alexandria University,"جامعة الإسكندرية, الكورنيش, إبراهيمية, الإسكندرية, 21522, مصر",31.21051105,29.91314562,edu, 9a4c45e5c6e4f616771a7325629d167a38508691,A facial features detector integrating holistic facial information and part-based model,Assiut University,Assiut University,"Assiut University, El Shaheed Ellwaa Hasn Kamel street, الوليدية, أسيوط, مصر",27.18794105,31.17009498,edu, 9a7c4412169580452078e4a7ede7c45f9047d4ef,"Tracking 3D Moving Objects Based on GPS/IMU Navigation Solution, Laser Scanner Point Cloud and GIS Data",University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, +0c2c53d71942ad3171b693f565812f1db43215e0,Descriptive visual words and visual phrases for image applications,China,China,China,35.86166000,104.19539700,edu, +0c2c53d71942ad3171b693f565812f1db43215e0,Descriptive visual words and visual phrases for image applications,China,China,China,35.86166000,104.19539700,edu, +0c2c53d71942ad3171b693f565812f1db43215e0,Descriptive visual words and visual phrases for image applications,China,China,China,35.86166000,104.19539700,edu, 0cb55c0e73f5eda18849100412499e7dfb492022,From Recognition to Cognition: Visual Commonsense Reasoning,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 0cd736baf31dceea1cc39ac72e00b65587f5fb9e,Learning Hash Functions Using Column Generation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +0c1d40de56698e672d3906b96f47ae1361fc3912,Face Recognition Using Kernel PrincipalComponent Analysis,India,India,India,20.59368400,78.96288000,edu, +0c1d40de56698e672d3906b96f47ae1361fc3912,Face Recognition Using Kernel PrincipalComponent Analysis,India,India,India,20.59368400,78.96288000,edu, 0cdb49142f742f5edb293eb9261f8243aee36e12,Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA 0cdb49142f742f5edb293eb9261f8243aee36e12,Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 0cb5079c39933bd8897fde7edecf156ff57830d7,Runway to Realway: Visual Analysis of Fashion,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 0c2875bb47db3698dbbb3304aca47066978897a4,Recurrent Models for Situation Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +0c1d5801f2b86afa969524dc74708a78450300d9,2 : Conditional Random Fields,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0c1d5801f2b86afa969524dc74708a78450300d9,2 : Conditional Random Fields,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 0c79a39a870d9b56dc00d5252d2a1bfeb4c295f1,Face Recognition in Videos by Label Propagation,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, 0cfaee84c8611599a74db98393c6a959d6e10592,"Representations for Cognitive Vision : A Review of Appearance-Based , Spatio-Temporal , and Graph-Based Approaches",Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 0c9f715835bee028a358701cf5a73ecbc3a7e242,Semi-supervised Facial Expression Recognition Algorithm on The Condition of Multi-pose,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, +0c9f715835bee028a358701cf5a73ecbc3a7e242,Semi-supervised Facial Expression Recognition Algorithm on The Condition of Multi-pose,China,China,China,35.86166000,104.19539700,edu, 0cfab1c2839ddacc19bc9af2e821d5c5fd4f28c1,3D Pictorial Structures for Multiple Human Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 0c85d1b384bb6e2d5d6e4db5461a7101ceed6808,Engineering Privacy in Public: Confounding Face Recognition,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 0c85d1b384bb6e2d5d6e4db5461a7101ceed6808,Engineering Privacy in Public: Confounding Face Recognition,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, @@ -1199,7 +1472,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 0c59071ddd33849bd431165bc2d21bbe165a81e0,Person Recognition in Personal Photo Collections,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 0c61d6a33b9d3c190b4adc15658cfe969dedfbdf,Self-supervised Learning of Motion Capture,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0c61d6a33b9d3c190b4adc15658cfe969dedfbdf,Self-supervised Learning of Motion Capture,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, -0c2de1b4fe7c5da8adf6351533a9c39503ad7a4c,Deeply-Fused Nets.,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +0c2de1b4fe7c5da8adf6351533a9c39503ad7a4c,Deeply-Fused Nets.,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 0c2de1b4fe7c5da8adf6351533a9c39503ad7a4c,Deeply-Fused Nets.,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 0c741fa0966ba3ee4fc326e919bf2f9456d0cd74,Facial Age Estimation by Learning from Label Distributions,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu, 0c741fa0966ba3ee4fc326e919bf2f9456d0cd74,Facial Age Estimation by Learning from Label Distributions,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, @@ -1207,11 +1480,14 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 0c663a7224a60488502a937ed3bc2b869260b6c0,Activity Auto-Completion: Predicting Human Activities from Partial Videos,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 0c663a7224a60488502a937ed3bc2b869260b6c0,Activity Auto-Completion: Predicting Human Activities from Partial Videos,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 0c663a7224a60488502a937ed3bc2b869260b6c0,Activity Auto-Completion: Predicting Human Activities from Partial Videos,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +0c9d9ebecfce885f3b1e7bd82ec1b74e9f17b9de,Attribute expansion with sequential learning for object classification,China,China,China,35.86166000,104.19539700,edu, +0c9d9ebecfce885f3b1e7bd82ec1b74e9f17b9de,Attribute expansion with sequential learning for object classification,China,China,China,35.86166000,104.19539700,edu, 0c1531a2fa4d6a270b9a09cde86bb0669f5975ff,PROCESSING OF CRAWLED URBAN IMAGERY FOR BUILDING USE CLASSIFICATION,University of Stuttgart,University of Stuttgart,"Pädagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-Württemberg, 71634, Deutschland",48.90953380,9.18318920,edu, 0cf4105ec11fb5846e5ea1b9dea11f8ba16e391f,Strokelets: A Learned Multi-scale Representation for Scene Text Recognition,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 0cebf440622050f8149d14b803a969917348844b,Learning to Search Efficiently in High Dimensions,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 0c940ccba1bd9380a0ac723d791777fc1746a060,Scheduling for HPC Systems with Process Variation Heterogeneity,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 0ca66283f4fb7dbc682f789fcf6d6732006befd5,Active Dictionary Learning for Image Representation,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, +0c922f8be9f0368c1abd53b8d9554f06b73a56cf,High-Level Fusion of Depth and Intensity for Pedestrian Classification,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 0cc3c62f762d64cffcab4ac7fea3896cb22a3df9,Preserving Privacy by De-identifying Facial Images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0ce08f1cc6684495d12c2da157a056c7b88ffcd9,Multi-Modality Feature Transform: An Interactive Image Segmentation Approach,Alexandria University,Alexandria University,"جامعة الإسكندرية, الكورنيش, إبراهيمية, الإسكندرية, 21522, مصر",31.21051105,29.91314562,edu, 0c2d0734a2c9d3e4d8a585b3f2ad4f642bf06dea,Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -1222,8 +1498,10 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 0c7844b63a05ec086fba231ad9eb3114ffb4139e,Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, 0c7844b63a05ec086fba231ad9eb3114ffb4139e,Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, 0c7844b63a05ec086fba231ad9eb3114ffb4139e,Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" -0c0dc5c307483642e15283d0d52a4159483d3df6,Multicamera Video Summarization from Optimal Reconstruction,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +0c0dc5c307483642e15283d0d52a4159483d3df6,Multicamera Video Summarization from Optimal Reconstruction,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, 0c7a9230ed9aae4cd1f26290cf140bb9c7286954,The engagement of mid-ventrolateral prefrontal cortex and posterior brain regions in intentional cognitive activity.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +0cf333cab1a9ccf671cebf31b78180f863c1caa7,Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0cf333cab1a9ccf671cebf31b78180f863c1caa7,Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0cdd98adf48018dba1a92e8a270a61b8d5739c42,Deep Neural Network Compression With Single and Multiple Level Quantization,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 0cdd98adf48018dba1a92e8a270a61b8d5739c42,Deep Neural Network Compression With Single and Multiple Level Quantization,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 0cbbbfac2fe925479c6b34712e056f840a10fa4d,Quality Evaluation Methods for Crowdsourced Image Segmentation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -1234,6 +1512,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 0cbc3221a07db517c30b9d6605cbe9d103e19955,How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 0cbc3221a07db517c30b9d6605cbe9d103e19955,How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, 0cbc4dcf2aa76191bbf641358d6cecf38f644325,Visage: A Face Interpretation Engine for Smartphone Applications,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, +0cbc4dcf2aa76191bbf641358d6cecf38f644325,Visage: A Face Interpretation Engine for Smartphone Applications,China,China,China,35.86166000,104.19539700,edu, 0c20fd90d867fe1be2459223a3cb1a69fa3d44bf,A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, 0c07b1faeb4c63c603bcd124640c6ffe07df801c,Unsupervised Selection of Negative Examples for Grounded Language Learning,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 0ce3a786aed896d128f5efdf78733cc675970854,Learning the Face Prior for Bayesian Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -1241,8 +1520,9 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 0ccc535d12ad2142a8310d957cc468bbe4c63647,Better Exploiting OS-CNNs for Better Event Recognition in Images,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 0c8769bf0501fdd7fbc94ca81601de4a40679295,On Duality Of Multiple Target Tracking and Segmentation,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 0cece7b8989352e16a2fab8c0a0b1911c286906a,AUTOMATIC AGE ESTIMATION FROM REAL-WORLD AND WILD FACE IMAGES BY USING DEEP NEURAL NETWORKS,University of Bridgeport,University of Bridgeport,"University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA",41.16648580,-73.19205640,edu, -0c6602439185ad8268ebcd99d1ac4afd66fb4c7b,"Learning Robust, Transferable Sentence Representations for Text Classification","University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +0c6602439185ad8268ebcd99d1ac4afd66fb4c7b,"Learning Robust, Transferable Sentence Representations for Text Classification",UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 0c124734ce6015bd4c506b101038aebc1412da49,Human Face Reconstruction Using Bayesian Deformable Models,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, +0c4659b35ec2518914da924e692deb37e96d6206,Registering a MultiSensor Ensemble of Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0cf2eecf20cfbcb7f153713479e3206670ea0e9c,Privacy-Protective-GAN for Face De-identification,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 0c435e7f49f3e1534af0829b7461deb891cf540a,Capturing Global Semantic Relationships for Facial Action Unit Recognition,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, 0c435e7f49f3e1534af0829b7461deb891cf540a,Capturing Global Semantic Relationships for Facial Action Unit Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, @@ -1254,6 +1534,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 0c882588ed7436f7122af2b324c598adbede49c1,Random mesh projectors for inverse problems,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu, 0c882588ed7436f7122af2b324c598adbede49c1,Random mesh projectors for inverse problems,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 0ca35af582b95fbab3829f98308d104359c3b632,Recognizing objects by piecing together the Segmentation Puzzle,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +0cd8fabfc8e22be8275c317e7ccd37e640711c62,Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition,University of Zaragoza,"University of Zaragoza, Spain","Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain",41.64206390,-0.90150650,edu, 0c1d85a197a1f5b7376652a485523e616a406273,Joint Registration and Representation Learning for Unconstrained Face Identification,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, 0c1d85a197a1f5b7376652a485523e616a406273,Joint Registration and Representation Learning for Unconstrained Face Identification,Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu, 0c7aac75ccd17d696cff2e1ce95db0493f5c18a2,VideoMatch: Matching Based Video Object Segmentation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -1261,20 +1542,27 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 0c359d0d674599203c53f55dde73d511de21e580,A Study of Local Features for Unconstrained Parts Based Face Classification,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 0c6e29d82a5a080dc1db9eeabbd7d1529e78a3dc,Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 0c8ac71e174a941ea7e14e7b503a12ae7eeca9db,Visual Semantic Complex Network for Web Images,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, -0c8ac71e174a941ea7e14e7b503a12ae7eeca9db,Visual Semantic Complex Network for Web Images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +0c8ac71e174a941ea7e14e7b503a12ae7eeca9db,Visual Semantic Complex Network for Web Images,Shenzhen Institute of Advanced Technology,Shenzhen Institute of Advanced Technology,"Tengfei Rd, LongGang ZhongXin Cheng, Longgang Qu, Shenzhen Shi, Guangdong Sheng, China, 518172",22.72147100,114.21548200,edu, 0ccc19a924ffbd56c055db22bf88b96bea73aca2,Fused HMM-adaptation of multi-stream HMMs for audio-visual speech recognition,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, +0c5afb209b647456e99ce42a6d9d177764f9a0dd,Recognizing action units for facial expression analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0c6eff59e210c3af9865207302199412f3f91914,Parsing human motion with stretchable models,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +0c75c7c54eec85e962b1720755381cdca3f57dfb,Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0c12cbb9b9740dfa2816b8e5cde69c2f5a715c58,Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, 0c12cbb9b9740dfa2816b8e5cde69c2f5a715c58,Memory-Augmented Attribute Manipulation Networks for Interactive Fashion Search,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 0c4d99f49654fe04a8e229a20a6e0e0f0d81337b,Multi-Scale Human Pose Tracking in 2 D Monocular Images,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, +0c3c83b7f030fe661548d362ddf33f37bb44043d,Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute,China,China,China,35.86166000,104.19539700,edu, +0c3c83b7f030fe661548d362ddf33f37bb44043d,Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute,China,China,China,35.86166000,104.19539700,edu, 0c77f42e8d530b542a534087b24dd8a21e8781cf,Source ( synthetic ) Target ( real ) feature dimension 1 feature dim ension,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 0c553e57cb6fe7bdf3212fbf86bcc869958db27f,Straight until proven gay: A systematic bias toward straight categorizations in sexual orientation judgments.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, -0c553e57cb6fe7bdf3212fbf86bcc869958db27f,Straight until proven gay: A systematic bias toward straight categorizations in sexual orientation judgments.,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +0c553e57cb6fe7bdf3212fbf86bcc869958db27f,Straight until proven gay: A systematic bias toward straight categorizations in sexual orientation judgments.,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 0c553e57cb6fe7bdf3212fbf86bcc869958db27f,Straight until proven gay: A systematic bias toward straight categorizations in sexual orientation judgments.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 0c5f74c8e323861d18d6090d8cce05dde22660d0,Enhancing Person Re-identification by Robust Structural Metric Learning,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +0c36c988acc9ec239953ff1b3931799af388ef70,Face Detection Using Improved Faster RCNN,China,China,China,35.86166000,104.19539700,edu, 0c05f60998628884a9ac60116453f1a91bcd9dda,Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 0cd7ff53729dafe9175009d7f04570dbbf41a608,Modelling the Effect of View Angle Variation on Appearance-Based Gait Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +0cd7ff53729dafe9175009d7f04570dbbf41a608,Modelling the Effect of View Angle Variation on Appearance-Based Gait Recognition,China,China,China,35.86166000,104.19539700,edu, 0c7f27d23a162d4f3896325d147f412c40160b52,Models and Algorithms for Vision through the Atmosphere,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +0c377fcbc3bbd35386b6ed4768beda7b5111eec6,A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0cd87a66028f9d3c519a9459a213905b42b4c3b0,Cross-Domain Forensic Shoeprint Matching,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, 0cd87a66028f9d3c519a9459a213905b42b4c3b0,Cross-Domain Forensic Shoeprint Matching,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 0cd87a66028f9d3c519a9459a213905b42b4c3b0,Cross-Domain Forensic Shoeprint Matching,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -1282,12 +1570,19 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 71f9bed14188d861f248fb426a26a3a0b400843a,Robot-Centric Activity Prediction from First-Person Videos: What Will They Do to Me?,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 71559cae0bc89398e75a2f24674d61cb51909390,Relighting Humans : Occlusion-Aware Inverse Rendering for Full-Body Human Images,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, 71559cae0bc89398e75a2f24674d61cb51909390,Relighting Humans : Occlusion-Aware Inverse Rendering for Full-Body Human Images,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, +71559cae0bc89398e75a2f24674d61cb51909390,Relighting Humans : Occlusion-Aware Inverse Rendering for Full-Body Human Images,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +71ccb8bbb5f5cf30f14a3065c69e24218fc9502c,Face Recognition Using LBP Eigenfaces,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 71ccb8bbb5f5cf30f14a3065c69e24218fc9502c,Face Recognition Using LBP Eigenfaces,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, 71e942e05f73b163a7ec814a85ff4131cb48f650,The BANCA Database and Evaluation Protocol,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 718d3d6ca77d1999efafd171ac4b6056312035d8,"FACE RECOGNITION USING PCA , LDA AND ICA APPROACHES ON COLORED IMAGES",Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, 7142ac9e4d5498037aeb0f459f278fd28dae8048,Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 7117ed0be436c0291bc6fb6ea6db18de74e2464a,Spatial Transformations,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 716d6c2eb8a0d8089baf2087ce9fcd668cd0d4c0,Pose-Robust 3 D Facial Landmark Estimation from a Single 2 D Image,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, +71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, +71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,India,India,India,20.59368400,78.96288000,edu, +71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,India,India,India,20.59368400,78.96288000,edu, +71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,India,India,India,20.59368400,78.96288000,edu, +715216a92c338a3c35319026d38ed0da0c57d013,Integrated Pedestrian and Direction Classification Using a Random Decision Forest,University of Auckland,"The University of Auckland, Auckland, New Zealand","Auckland 1010, New Zealand",-36.85233780,174.76910730,edu, 71f36c8e17a5c080fab31fce1ffea9551fc49e47,Predicting Failures of Vision Systems,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 712a86afe7b479dfe583cda521dd0a14b0182f3f,Egocentric Basketball Motion Planning from a Single First-Person Image,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 712a86afe7b479dfe583cda521dd0a14b0182f3f,Egocentric Basketball Motion Planning from a Single First-Person Image,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, @@ -1308,6 +1603,7 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 719969807953d7ea8bda0397b1aadbaa6e205718,Automatic Dataset Augmentation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 715c7187b27b452424379254f5dc55909913b339,The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives,"University of Colorado, Boulder","University of Colorado, Boulder","Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA",40.01407945,-105.26695944,edu, 715c7187b27b452424379254f5dc55909913b339,The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +718d3137adba9e3078fa1f698020b666449f3336,Accuracy Based Feature Ranking Metric for Multi-Label Text Classification,"Lahore, Pakistan","Lahore, Pakistan","Lahore, Punjab, Pakistan",31.52036960,74.35874730,edu, 718d3137adba9e3078fa1f698020b666449f3336,Accuracy Based Feature Ranking Metric for Multi-Label Text Classification,University of Gujrat,University of Gujrat,"University of Gujrat, University Road, Chandhar, Gujrāt District, پنجاب, 50700, ‏پاکستان‎",32.63744845,74.16174558,edu, 718d3137adba9e3078fa1f698020b666449f3336,Accuracy Based Feature Ranking Metric for Multi-Label Text Classification,University of Gujrat,University of Gujrat,"University of Gujrat, University Road, Chandhar, Gujrāt District, پنجاب, 50700, ‏پاکستان‎",32.63744845,74.16174558,edu, 71797806fb9685a9a743c84c9e859948f7c6a77b,Learning to Describe Differences Between Pairs of Similar Images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -1318,6 +1614,8 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 71b07c537a9e188b850192131bfe31ef206a39a0,Faces InThe-Wild Challenge : database and results,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 71b07c537a9e188b850192131bfe31ef206a39a0,Faces InThe-Wild Challenge : database and results,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 7150323712cb700a68e7365a9c627b55c2c262dc,SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +7150323712cb700a68e7365a9c627b55c2c262dc,SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks,"Sullivan Nicolaides Pathology, Australia","Sullivan Nicolaides Pathology, Australia","24 Hurworth St, Bowen Hills QLD 4006, Australia",-27.44925600,153.03674210,edu, +71d3ed17c0642234a921bb45fcadd86520794941,Learning by Tracking: Siamese CNN for Robust Target Association,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 713db3874b77212492d75fb100a345949f3d3235,Deep Semantic Face Deblurring,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 71969ee27916d545c63fe852946dd6dcc015d1a8,Who are the Devils Wearing Prada in New York City?,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 71969ee27916d545c63fe852946dd6dcc015d1a8,Who are the Devils Wearing Prada in New York City?,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, @@ -1335,10 +1633,12 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 710669a25300eb9d083ce46a643b492eab80b1a9,Semantic Single Video Segmentation with Robust Graph Representation,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 7127f9e9a51236f213c5b7805be8714a3bcbfc28,Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, 71899cbc5b4b25b2e834919f58d7620484d7e848,Predicting Geo-informative Attributes in Large-Scale Image Collections Using Convolutional Neural Networks,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, +710c30c6c05ad1c9c0858f42364e9ca3f8e70bb4,"Classification of Land Use on Sand-Dune Topography by Object-Based Analysis , Digital Photogrammetry , and GIS Analysis in the Horqin Sandy Land , China",China,China,China,35.86166000,104.19539700,edu, 710c30c6c05ad1c9c0858f42364e9ca3f8e70bb4,"Classification of Land Use on Sand-Dune Topography by Object-Based Analysis , Digital Photogrammetry , and GIS Analysis in the Horqin Sandy Land , China",University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 710c30c6c05ad1c9c0858f42364e9ca3f8e70bb4,"Classification of Land Use on Sand-Dune Topography by Object-Based Analysis , Digital Photogrammetry , and GIS Analysis in the Horqin Sandy Land , China",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 710c30c6c05ad1c9c0858f42364e9ca3f8e70bb4,"Classification of Land Use on Sand-Dune Topography by Object-Based Analysis , Digital Photogrammetry , and GIS Analysis in the Horqin Sandy Land , China",University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 71e56f2aebeb3c4bb3687b104815e09bb4364102,Video Co-segmentation for Meaningful Action Extraction,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +71e56f2aebeb3c4bb3687b104815e09bb4364102,Video Co-segmentation for Meaningful Action Extraction,China,China,China,35.86166000,104.19539700,edu, 71644fab2275cfd6a8f770a26aba4e6228e85dec,Multi-View Discriminant Analysis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 714a420173f328999c3b81fb70ce85be925b725f,Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 71e6a46b32a8163c9eda69e1badcee6348f1f56a,Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, @@ -1348,13 +1648,17 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 71b7fc715e2f1bb24c0030af8d7e7b6e7cd128a6,The Do’s and Don’ts for CNN-Based Face Verification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 713594c18978b965be87651bb553c28f8501df0a,Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 713594c18978b965be87651bb553c28f8501df0a,Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +713594c18978b965be87651bb553c28f8501df0a,Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 719e58a8b256cdcc88f7980e4798fe8e6aa1a808,Confidence Intervals for Tracking Performance Scores,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 7060f6062ba1cbe9502eeaaf13779aa1664224bb,A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +706600aa77ffb165097e4aeccb2b214dabdb8092,Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering,India,India,India,20.59368400,78.96288000,edu, 70cbbf1ac971a89e18240e70d86fde2ac5190bad,Mammoth Data in the Cloud: Clustering Social Images,Indiana University Bloomington,Indiana University Bloomington,"Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA",39.17720475,-86.51540030,edu, 700563f7b0d42d60e614d3ad68f02a45cc3fd4a5,Deep Micro-Dictionary Learning and Coding Network,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 700563f7b0d42d60e614d3ad68f02a45cc3fd4a5,Deep Micro-Dictionary Learning and Coding Network,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +700563f7b0d42d60e614d3ad68f02a45cc3fd4a5,Deep Micro-Dictionary Learning and Coding Network,China,China,China,35.86166000,104.19539700,edu, 700563f7b0d42d60e614d3ad68f02a45cc3fd4a5,Deep Micro-Dictionary Learning and Coding Network,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 70a3bea7e9a4f7af6e80832d467a457c18d2389a,Generative Adversarial Forests for Better Conditioned Adversarial Learning,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu, +70eb48e06d9d5edf84246b772673b6d44af4b3c6,ROBUST LDP BASED FACE DESCRIPTOR,India,India,India,20.59368400,78.96288000,edu, 704d88168bdfabe31b6ff484507f4a2244b8c52b,MLtuner: System Support for Automatic Machine Learning Tuning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7071cd1ee46db4bc1824c4fd62d36f6d13cad08a,Face Detection through Scale-Friendly Deep Convolutional Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 709198f1a7d42fb87d46a8f5dc48e23e6564df1c,Visual and semantic similarity in ImageNet,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, @@ -1389,6 +1693,9 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 701f56f0eac9f88387de1f556acef78016b05d52,Direct Shape Regression Networks for End-to-End Face Alignment,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 701f56f0eac9f88387de1f556acef78016b05d52,Direct Shape Regression Networks for End-to-End Face Alignment,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 70db3a0d2ca8a797153cc68506b8650908cb0ada,An Overview of Research Activities in Facial Age Estimation Using the FG-NET Aging Database,Cyprus University of Technology,Cyprus University of Technology,"Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - Λεμεσός, Limassol - Λεμεσός, Κύπρος - Kıbrıs, 3036, Κύπρος - Kıbrıs",34.67567405,33.04577648,edu, +7003d903d5e88351d649b90d378f3fc5f211282b,Facial Expression Recognition using Gabor Wavelet,India,India,India,20.59368400,78.96288000,edu, +7003d903d5e88351d649b90d378f3fc5f211282b,Facial Expression Recognition using Gabor Wavelet,India,India,India,20.59368400,78.96288000,edu, +7003d903d5e88351d649b90d378f3fc5f211282b,Facial Expression Recognition using Gabor Wavelet,India,India,India,20.59368400,78.96288000,edu, 7002d6fc3e0453320da5c863a70dbb598415e7aa,Understanding Discrete Facial Expressions in Video Using an Emotion Avatar Image,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, 704fe3839742e8d022fdc110f3a502e42a0ef89e,Running Head : RACIAL BIAS AND AGE 1 The Generalization of Implicit Racial Bias to Young Black Boys : Automatic Stereotyping or Automatic Prejudice ?,University of Iowa,University of Iowa,"University of Iowa, Hawkeye Court, Iowa City, Johnson County, Iowa, 52246, USA",41.66590000,-91.57310307,edu, 704fe3839742e8d022fdc110f3a502e42a0ef89e,Running Head : RACIAL BIAS AND AGE 1 The Generalization of Implicit Racial Bias to Young Black Boys : Automatic Stereotyping or Automatic Prejudice ?,University of Iowa,University of Iowa,"University of Iowa, Hawkeye Court, Iowa City, Johnson County, Iowa, 52246, USA",41.66590000,-91.57310307,edu, @@ -1398,8 +1705,11 @@ bccfda60d53fd1ca114355f606fcfcc2bc9da529,Person Re-identification with Cascaded 70eeacf9f86ba08fceb3dd703cf015016dac1930,Coupled information-theoretic encoding for face photo-sketch recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 70eeacf9f86ba08fceb3dd703cf015016dac1930,Coupled information-theoretic encoding for face photo-sketch recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 7017a4c7a972d546ef2d59d29bf7c0ba6888e2ba,Human Pose and Shape Estimation from MultiView Images for Virtual Dressing Rooms,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, -ff9af51b07a7e80706361cd064a25d99cde64236,Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +ff9af51b07a7e80706361cd064a25d99cde64236,Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, ff1f45bdad41d8b35435098041e009627e60d208,From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script.,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1,An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, +ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1,An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop,India,India,India,20.59368400,78.96288000,edu, +ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1,An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop,India,India,India,20.59368400,78.96288000,edu, ffd0ba45cc6b0c8f72a09617144786ffb26be771,Data-Free Knowledge Distillation for Deep Neural Networks,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, ffd0ba45cc6b0c8f72a09617144786ffb26be771,Data-Free Knowledge Distillation for Deep Neural Networks,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, ffd0ba45cc6b0c8f72a09617144786ffb26be771,Data-Free Knowledge Distillation for Deep Neural Networks,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, @@ -1411,11 +1721,15 @@ ffe0f43206169deef3a2bf64cec90fe35bb1a8e5,"Automated Processing of Imaging Data t ffe0f43206169deef3a2bf64cec90fe35bb1a8e5,"Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans ",University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, ff825a46f0a4e9f6ad748aeefd18f34f6b4addfb,"The ""reading the mind in films"" task: complex emotion recognition in adults with and without autism spectrum conditions.",Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu, +ff8315c1a0587563510195356c9153729b533c5b,Zapping Index:Using Smile to Measure Advertisement Zapping Likelihood,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ff948365684d3aa1a834deb49f326e264b56677a,"Animal, but not human, faces engage the distributed face network in adolescents with autism.",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, ff637a63d1286705b357a7d4b2bc543158d2ee0b,A Vision-based Transfer Learning Approach for Recognizing Behavioral Symptoms in People with Dementia,Edge Hill University,Edge Hill University,"Edge Hill University, St Helens Road, West Lancashire, Lancs, North West England, England, L39 4QP, UK",53.55821550,-2.86904651,edu, ff11cb09e409996020a2dc3a8afc3b535e6b2482,Faster Bounding Box Annotation for Object Detection in Indoor Scenes,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +ff11cb09e409996020a2dc3a8afc3b535e6b2482,Faster Bounding Box Annotation for Object Detection in Indoor Scenes,Finland,Finland,Finland,61.92411000,25.74815110,edu, ff311fbb5600234fd639c96522d1b450b6190cdd,AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +ffc06713436afc4e08bf4afa401ac52db674c5da,Neural Adaptive Content-aware Internet Video Delivery,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, ffc5a9610df0341369aa75c0331ef021de0a02a9,Transferred Dimensionality Reduction,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +ff4e8a8333e4ef506318160248c068250963806d,Gender recognition from face images using texture descriptors for human computer interaction,India,India,India,20.59368400,78.96288000,edu, ff772950f66ac6a57f4201ce1f02f0013ccdc1bb,Receptive Field Block Net for Accurate and Fast Object Detection,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, ff69da3510f5ffed224069faf62036e1aa9b6d26,Extended Set of Local Binary Patterns for Rapid Object Detection,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, ff5a3b2fae2ee1cf4f1c32ff7e5fdccf72815578,Multi-Person Pose Estimation via Column Generation,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, @@ -1428,25 +1742,33 @@ ffe4bb47ec15f768e1744bdf530d5796ba56cfc1,AFIF4: Deep Gender Classification based ff47698be7313005d0ea0fe0cc72c13f2f4b092a,Caring or daring? Exploring the impact of facial masculinity/femininity and gender category information on first impressions,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, fff755ee8522d5ab0931babeaded2f9113c44b95,A Hybrid Supervised-unsupervised Method on Image Topic Visualization with Convolutional Neural Network and LDA,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, ffc7de9e2519f54b0c843879013e24cb7ee2a2ac,A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze Estimation,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, +ff7bc7a6d493e01ec8fa2b889bcaf6349101676e,Facial expression recognition with spatiotemporal local descriptors,Finland,Finland,Finland,61.92411000,25.74815110,edu, ffa23a8c988e57cf5fc21b56b522a4ee68f2f362,Social game retrieval from unstructured videos,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +fffefc1fb840da63e17428fd5de6e79feb726894,Fine-Grained Age Estimation in the wild with Attention LSTM Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ff5c698e1f451c7e6fc4f036fb79ba6ff899285f,Adaptive unsupervised multi-view feature selection for visual concept recognition,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, ff5c698e1f451c7e6fc4f036fb79ba6ff899285f,Adaptive unsupervised multi-view feature selection for visual concept recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +fff32fd598e41ec6dd6903082d77f43f16908cfd,Kernel Learning of Histogram of Local Gabor Phase Patterns for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +fff32fd598e41ec6dd6903082d77f43f16908cfd,Kernel Learning of Histogram of Local Gabor Phase Patterns for Face Recognition,China,China,China,35.86166000,104.19539700,edu, fff32fd598e41ec6dd6903082d77f43f16908cfd,Kernel Learning of Histogram of Local Gabor Phase Patterns for Face Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, ffaad0204f4af763e3390a2f6053c0e9875376be,Non-Convex Sparse and Low-Rank Based Robust Subspace Segmentation for Data Mining,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu, ffaad0204f4af763e3390a2f6053c0e9875376be,Non-Convex Sparse and Low-Rank Based Robust Subspace Segmentation for Data Mining,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +ab6ed75e1b1952e4461fc603bcfd042bb462635f,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,China,China,China,35.86166000,104.19539700,edu, ab6ed75e1b1952e4461fc603bcfd042bb462635f,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, ab6ed75e1b1952e4461fc603bcfd042bb462635f,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, ab427f0c7d4b0eb22c045392107509451165b2ba,Learning scale ranges for the extraction of regions of interest,Western Kentucky University,Western Kentucky University,"Western Kentucky University, Avenue of Champions, Bowling Green, Warren County, Kentucky, 42101, USA",36.98453170,-86.45764430,edu, ab84d00079d0a29e44bdc4c83037dc76b0fbef05,Visual Text Correction,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +ab87dfccb1818bdf0b41d732da1f9335b43b74ae,Structured Dictionary Learning for Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, abb7c66487009ea20967b9c6708f660fd4197bbb,In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, ab134c9244c762f1429ccb7d737610d17d95f019,Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +ab41364a58b34844b281046c3d8678f7d537a97e,Learning Deep Hierarchical Visual Feature Coding,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, abac0fa75281c9a0690bf67586280ed145682422,Describable Visual Attributes for Face Images,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, ab734bac3994b00bf97ce22b9abc881ee8c12918,Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, ab734bac3994b00bf97ce22b9abc881ee8c12918,Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +ab734bac3994b00bf97ce22b9abc881ee8c12918,Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification,China,China,China,35.86166000,104.19539700,edu, ab0d227b63b702ba80f70fd053175cd1b2fd28cc,Boosting Pseudo Census Transform Features for Face Alignment,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, ab1f057bfe02b80a14f4c011abb9ceb2a9c98b6c,Dress Like a Star: Retrieving Fashion Products from Videos,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu, ab1f057bfe02b80a14f4c011abb9ceb2a9c98b6c,Dress Like a Star: Retrieving Fashion Products from Videos,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu, -aba742ca4edc7dd37ff481d12e4b94c153baae77,Pose-Guided Human Parsing with Deep Learned Features,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +aba742ca4edc7dd37ff481d12e4b94c153baae77,Pose-Guided Human Parsing with Deep Learned Features,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, ab05988c3af93e7753de79996cc409be0a8d2bd1,Approximate LDA Technique for Dimensionality Reduction in the Small Sample Size Case,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, ab368594b9bd569e8d0fcf5c6010f1c31e3aa39e,"Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest",Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, ab368594b9bd569e8d0fcf5c6010f1c31e3aa39e,"Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest",Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, @@ -1459,6 +1781,8 @@ ab5eb89bd154b43d1704657eb56d7ba5fc0d0138,"Investigations of an "" Objectness "" aba31184783150c723805831cde0f22fe257b835,Contribution of Non-scrambled Chroma Information in Privacy-Protected Face Images to Privacy Leakage,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, aba31184783150c723805831cde0f22fe257b835,Contribution of Non-scrambled Chroma Information in Privacy-Protected Face Images to Privacy Leakage,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, abb396490ba8b112f10fbb20a0a8ce69737cd492,Robust Face Recognition Using Color Information,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, +ab302d79e419348499acbda4a627b67dec89936f,Robust Correlated and Individual Component Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +ab302d79e419348499acbda4a627b67dec89936f,Robust Correlated and Individual Component Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, abe57316b960260a0e89f84229f26d3d8c613e59,Improving HOG with Image Segmentation: Application to Human Detection,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, ab781f035720d991e244adb35f1d04e671af1999,Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, ab781f035720d991e244adb35f1d04e671af1999,Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" @@ -1466,6 +1790,7 @@ ab0715642330502d5efca948e4753651cb004d84,Soft-NMS — Improving Object Detection ab7bcbaa9e77d35634302b021d47e7889628a88d,FaceSketchID: A system for facial sketch to mugshot matching,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, abdd17e411a7bfe043f280abd4e560a04ab6e992,Pose-Robust Face Recognition via Deep Residual Equivariant Mapping,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, ab34ed858412b08441259374a83f4b3adb615789,Multimedia Annotation Through Search and Mining,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +ab0dd486ff270c3a5ec877aecad7f20b2ce3f670,A Two Phase Approach for Pedestrian Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, abb2073788183294ecede3765f698a8e7ed6de87,"Integrated learning of saliency, complex features, and object detectors from cluttered scenes","University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, ab567ca60fc3f72f27746b4d9e505042ab282ca3,Guidelines for studying developmental prosopagnosia in adults and children.,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, ab567ca60fc3f72f27746b4d9e505042ab282ca3,Guidelines for studying developmental prosopagnosia in adults and children.,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, @@ -1473,21 +1798,30 @@ ab567ca60fc3f72f27746b4d9e505042ab282ca3,Guidelines for studying developmental p abba1bf1348a6f1b70a26aac237338ee66764458,Facial Action Unit Detection Using Attention and Relation Learning,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, abba1bf1348a6f1b70a26aac237338ee66764458,Facial Action Unit Detection Using Attention and Relation Learning,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, abba1bf1348a6f1b70a26aac237338ee66764458,Facial Action Unit Detection Using Attention and Relation Learning,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +abba1bf1348a6f1b70a26aac237338ee66764458,Facial Action Unit Detection Using Attention and Relation Learning,China,China,China,35.86166000,104.19539700,edu, abba1bf1348a6f1b70a26aac237338ee66764458,Facial Action Unit Detection Using Attention and Relation Learning,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, abc618b5c4f69a34c655bbb93c6003cc671b0f72,Is Faster R-CNN Doing Well for Pedestrian Detection?,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, -abc618b5c4f69a34c655bbb93c6003cc671b0f72,Is Faster R-CNN Doing Well for Pedestrian Detection?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +abc618b5c4f69a34c655bbb93c6003cc671b0f72,Is Faster R-CNN Doing Well for Pedestrian Detection?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +ab43c43d5eb2c5bee6de1b25c8bcb8068ab8bcd2,Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +abf659847660763c94b44c0baaf9198046a11845,Video Image Object Tracking Algorithm based on Improved Principal Component Analysis,China,China,China,35.86166000,104.19539700,edu, +abf659847660763c94b44c0baaf9198046a11845,Video Image Object Tracking Algorithm based on Improved Principal Component Analysis,China,China,China,35.86166000,104.19539700,edu, ab44a7585b45e72affe1746fc302baccd6412969,Multiview Depth-based Pose Estimation,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, ab44a7585b45e72affe1746fc302baccd6412969,Multiview Depth-based Pose Estimation,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, ae18ccb35a1a5d7b22f2a5760f706b1c11bf39a9,Sensing Highly Non-Rigid Objects with RGBD Sensors for Robotic Systems,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, +aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,Binghamton University,Binghamton University,"Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA",42.09580770,-75.91455689,edu, aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, aed124c053b9c510487d68e0faf32aff2a84c3b5,FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, +ae5983048e59a339c77fee89e9279a4a787ba985,Part-Based Deep Hashing for Large-Scale Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, aeaf5dbb3608922246c7cd8a619541ea9e4a7028,Weakly Supervised Facial Action Unit Recognition through Adversarial Training,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, ae94d00bd6c4ef06b73593aefca68723229b9ae9,An incremental anomaly detection model for virtual machines,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, ae94d00bd6c4ef06b73593aefca68723229b9ae9,An incremental anomaly detection model for virtual machines,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +ae94d00bd6c4ef06b73593aefca68723229b9ae9,An incremental anomaly detection model for virtual machines,China,China,China,35.86166000,104.19539700,edu, +ae94d00bd6c4ef06b73593aefca68723229b9ae9,An incremental anomaly detection model for virtual machines,China,China,China,35.86166000,104.19539700,edu, +ae33dc04adcb83a486517c48078cdd4af7dcc7c7,The adaptative local Hausdorff-distance map as a new dissimilarity measure,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, aecce5d8e06da797c087fb361732e84e62c04c4f,Bilateral Ordinal Relevance Multi-instance Regression for Facial Action Unit Intensity Estimation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, aecce5d8e06da797c087fb361732e84e62c04c4f,Bilateral Ordinal Relevance Multi-instance Regression for Facial Action Unit Intensity Estimation,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, aeb09c11a94a1589b0404b5d14a68cc40fcc0705,The Many Moods of Emotion,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015" @@ -1527,15 +1861,19 @@ ae5b2b449f59ae0f46f6a31ed4826d98241c394c,Accurate real-time people counting for ae5b2b449f59ae0f46f6a31ed4826d98241c394c,Accurate real-time people counting for crowded environments,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, ae587a4a8842fbe01b9a043b66f762a89dca5074,Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, aec46facf3131a5be4fc23db4ebfb5514e904ae3,Audio to the rescue,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +ae85c822c6aec8b0f67762c625a73a5d08f5060d,Retrieving Similar Styles to Parse Clothing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +ae85c822c6aec8b0f67762c625a73a5d08f5060d,Retrieving Similar Styles to Parse Clothing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ae4390873485c9432899977499c3bf17886fa149,FACIAL EXPRESSION RECOGNITION USING DIGITALISED FACIAL FEATURES BASED ON ACTIVE SHAPE MODEL,Glyndwr University,Glyndwr University,"Glyndŵr University, Mold Road, Rhosrobin, Wrexham, Wales, LL11 2AW, UK",53.05373795,-3.00482075,edu, ae6193531d42fc20c9c991143ce323034d7aaa8d,Going Deeper with Semantics : Video Activity Interpretation using Semantic Contextualization,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, ae6193531d42fc20c9c991143ce323034d7aaa8d,Going Deeper with Semantics : Video Activity Interpretation using Semantic Contextualization,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, ae6193531d42fc20c9c991143ce323034d7aaa8d,Going Deeper with Semantics : Video Activity Interpretation using Semantic Contextualization,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, +aee90db1f66b77113b0a62701deb01ca96b6d9e6,"Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ae71f69f1db840e0aa17f8c814316f0bd0f6fbbf,That personal pro fi le image might jeopardize your rental opportunity ! On the relative impact of the seller ' s facial expressions upon buying behavior on Airbnb TM *,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, aefb110f14dd8d59c5465c7d91bd8b34a7c69597,A sequential guiding network with attention for image captioning,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, aefb110f14dd8d59c5465c7d91bd8b34a7c69597,A sequential guiding network with attention for image captioning,North China Electric Power University,North China Electric Power University,"华北电力大学, 永华北大街, 莲池区, 保定市, 莲池区 (Lianchi), 保定市, 河北省, 071000, 中国",38.87604460,115.49738730,edu, aea6dfb43df75b176ff209f5510a0f17256a4d0a,Learning 3 D Scene Synthesis from Annotated RGB-D Images,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, aea6dfb43df75b176ff209f5510a0f17256a4d0a,Learning 3 D Scene Synthesis from Annotated RGB-D Images,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +ae299fad29ba650fbf1e14c7c95ba8ae32e095f0,Person Re-Identification by Robust Canonical Correlation Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, aecd24f4a41eb6942375b9c03adcb7e137250b3f,Tensor Sparse Coding for Region Covariances,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children With Attention Deficit/Hyperactivity Disorder: Evidence From Event Related Gamma Oscillation,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children With Attention Deficit/Hyperactivity Disorder: Evidence From Event Related Gamma Oscillation,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, @@ -1547,7 +1885,7 @@ ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children 079495c84b68623d9b1d4d48809cc24c1eee0a7e,Natural Language Object Retrieval,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 07d986b1005593eda1aeb3b1d24078db864f8f6a,FACIAL EXPRESSION RECOGNITION USING LOCAL FACIAL FEATURES,National University of Kaohsiung,National University of Kaohsiung,"國立高雄大學, 中央廣場, 藍田, 藍田里, 楠梓區, 高雄市, 811, 臺灣",22.73424255,120.28349755,edu, 07d986b1005593eda1aeb3b1d24078db864f8f6a,FACIAL EXPRESSION RECOGNITION USING LOCAL FACIAL FEATURES,National University of Kaohsiung,National University of Kaohsiung,"國立高雄大學, 中央廣場, 藍田, 藍田里, 楠梓區, 高雄市, 811, 臺灣",22.73424255,120.28349755,edu, -0754d3d8fbae668880a3eb91b2bce89543ea467e,Natural Language Driven Image Edits using a Semantic Image Manipulation Language (SIMPL),Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +0754d3d8fbae668880a3eb91b2bce89543ea467e,Natural Language Driven Image Edits using a Semantic Image Manipulation Language (SIMPL),Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, 07ba3c796244f76b5e6914246fd83b66d3b65c34,Real-time Human Detection based on Personness Estimation,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 07de8371ad4901356145722aa29abaeafd0986b9,Towards Usable Multimedia Event Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0769f782105118883d59f1e6b5629ed99a6ff7b0,A novel multi-instance learning algorithm with application to image classification,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, @@ -1556,6 +1894,7 @@ ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children 07fa153b8e6196ee6ef6efd8b743de8485a07453,Action Prediction From Videos via Memorizing Hard-to-Predict Samples,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 07fa153b8e6196ee6ef6efd8b743de8485a07453,Action Prediction From Videos via Memorizing Hard-to-Predict Samples,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 07fa153b8e6196ee6ef6efd8b743de8485a07453,Action Prediction From Videos via Memorizing Hard-to-Predict Samples,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +073bcb3b1aed5cdf7bff4e9fe46a21175f42c877,"Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 07a29f43713833da42b24e3915b63601c39d7627,Action Recognition and Localization by Hierarchical Space-Time Segments,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 07a29f43713833da42b24e3915b63601c39d7627,Action Recognition and Localization by Hierarchical Space-Time Segments,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu, 076f3c0b688f5ccc4ab610233ea1d5005b69e204,Influence of Wavelet Frequency and Orientation in an SVM-Based Parallel Gabor PCA Face Verification System,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, @@ -1568,6 +1907,7 @@ ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children 07d249512522ae946089460c086b98205bcd17f3,Complex loss optimization via dual decomposition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 07a472ea4b5a28b93678a2dcf89028b086e481a2,Head Dynamic Analysis: A Multi-view Framework,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 0744143542ffcb45b1ad83078c23efa9d3ec2be4,Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +0744143542ffcb45b1ad83078c23efa9d3ec2be4,Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation,China,China,China,35.86166000,104.19539700,edu, 07fd87460b3f454c2e7c971aca55df85a374bf8d,An Object-Based Bayesian Framework for Top-Down Visual Attention,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 07fd87460b3f454c2e7c971aca55df85a374bf8d,An Object-Based Bayesian Framework for Top-Down Visual Attention,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 07191c2047b5b643dd72a0583c1d537ba59f977a,Interactive Segmentation from 1-Bit Feedback,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, @@ -1586,6 +1926,11 @@ ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children 070de852bc6eb275d7ca3a9cdde8f6be8795d1a3,A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, 070de852bc6eb275d7ca3a9cdde8f6be8795d1a3,A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling,Jacobs University,Jacobs University,"Liverpool Hope University, Shaw Street, Everton, Liverpool, North West England, England, L6 1HP, UK",53.41291480,-2.96897915,edu, 070de852bc6eb275d7ca3a9cdde8f6be8795d1a3,A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 07ed099e7d9c88d8e272d7191a4c7c5a68e3a6bd,Exploring Local Context for Multi-target Tracking in Wide Area Aerial Surveillance,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 071777bc168e9940bb04b207d3b061bbd5a0c01a,Improving Point of View Scene Recognition by Considering Textual Data,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 07f31bef7a7035792e3791473b3c58d03928abbf,Lessons from collecting a million biometric samples,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, @@ -1599,14 +1944,21 @@ ae2c71080b0e17dee4e5a019d87585f2987f0508,Emotional Face Recognition in Children 07b3a07afe3753083b4d22285fc0d4176f26d912,Multi Channel Sequence Processing,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 07b3a07afe3753083b4d22285fc0d4176f26d912,Multi Channel Sequence Processing,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 074c658fac7d7ebd88be8a24b46f2b301a9aeeeb,Alternating Decision Forests,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, +074c658fac7d7ebd88be8a24b46f2b301a9aeeeb,Alternating Decision Forests,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 0740f71446e99273b89d89fa05ab439dc58c12e1,Reliable mapping and partitioning of performance-constrained openCL applications on CPU-GPU MPSoCs,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 07e6d293498c4f9048ee5a67ad32ca42d6af9b51,Video-based Side-view Face Recognition for Home Safety,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 0773c320713dae62848fceac5a0ac346ba224eca,Digital facial augmentation for interactive entertainment,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 076d3fc800d882445c11b9af466c3af7d2afc64f,Face attribute classification using attribute-aware correlation map and gated convolutional neural networks,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813,Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, +0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813,Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video,Romania,Romania,Romania,45.94316100,24.96676000,edu, +0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813,Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video,Romania,Romania,Romania,45.94316100,24.96676000,edu, +07625af8d73142e239b5cdccb1dd226648e4b0d4,Learning Scene-Independent Group Descriptors for Crowd Understanding,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 07c90e85ac0f74b977babe245dea0f0abcf177e3,An Image Preprocessing Algorithm for Illumination Invariant Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, f0fda989277302ffa8d2a3837c95fa7c90585091,Joint Inference for Extracting Text Descriptors from Triage Images of Mass Disaster Victims,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,India,India,India,20.59368400,78.96288000,edu, +f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,India,India,India,20.59368400,78.96288000,edu, f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, f05ea1ba8179595c8540bd26d5bc8f6efff78c82,Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, f074e86e003d5b7a3b6e1780d9c323598d93f3bc,Characteristic Number: Theory and Its Application to Shape Analysis,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, @@ -1618,8 +1970,13 @@ f049ea3ca734c217c380a1802d15a6d85378f55d,Efficient misbehaving user detection in f08e425c2fce277aedb51d93757839900d591008,Neural Motifs: Scene Graph Parsing with Global Context,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, f08e425c2fce277aedb51d93757839900d591008,Neural Motifs: Scene Graph Parsing with Global Context,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, f05ad40246656a977cf321c8299158435e3f3b61,Face Recognition Using Face Patch Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +f0304ea9943e96e645b8702c2810cca517439465,Automatic Diagnosis of Diabetic Retinopathy by Hybrid Multilayer Feed Forward Neural Network Ms,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, f02f0f6fcd56a9b1407045de6634df15c60a85cd,Learning Low-shot facial representations via 2D warping,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, f029e3fc47cab0b23da307dd2ec6d2a064091f83,Appearance and motion based data association for pedestrian tracking,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +f029e3fc47cab0b23da307dd2ec6d2a064091f83,Appearance and motion based data association for pedestrian tracking,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, +f0a0f341fa1f91ee58a5020297bea02f8863cb26,Learning Deep Semantic Embeddings for Cross-Modal Retrieval,China,China,China,35.86166000,104.19539700,edu, +f0a0f341fa1f91ee58a5020297bea02f8863cb26,Learning Deep Semantic Embeddings for Cross-Modal Retrieval,China,China,China,35.86166000,104.19539700,edu, +f0a0f341fa1f91ee58a5020297bea02f8863cb26,Learning Deep Semantic Embeddings for Cross-Modal Retrieval,China,China,China,35.86166000,104.19539700,edu, f03b9b0895f5fb3351bbf3db4b1139af85650543,Where is Misty? Interpreting Spatial Descriptors by Modeling Regions in Space,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, f0a3f12469fa55ad0d40c21212d18c02be0d1264,Sparsity Sharing Embedding for Face Verification,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, f0f501e1e8726148d18e70c8e9f6feea9360d119,Jukka Komulainen SOFTWARE-BASED COUNTERMEASURES TO 2 D FACIAL SPOOFING ATTACKS,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, @@ -1627,22 +1984,33 @@ f0ca31fd5cad07e84b47d50dc07db9fc53482a46,Feature Patch Illumination Spaces and K f0864a4e2f7dc4b3bacc36a0617a1860bcb6aba1,Multi-pedestrian detection in crowded scenes: A global view,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, f0398ee5291b153b716411c146a17d4af9cb0edc,Learning Optical Flow via Dilated Networks and Occlusion Reasoning,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, f0c21345a13c0e1da2b74aef4e8b987feb266bb5,Deep Multitask Architecture for Integrated 2D and 3D Human Sensing,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, +f08266cea120e8aa091983da5269ee5e35febe75,Semantic Diversity versus Visual Diversity in Visual Dictionaries,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f02feec9f8d15f929018e0f0aa14446f47112d22,Cross-Resolution Person Re-identification with Deep Antithetical Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +f0b954b464ee9ddb24b90108654eab24f136880f,Vehicle-logo Recognition Based on Convolutional Neural Network with Multi-scale Parallel Layers,China,China,China,35.86166000,104.19539700,edu, f0b954b464ee9ddb24b90108654eab24f136880f,Vehicle-logo Recognition Based on Convolutional Neural Network with Multi-scale Parallel Layers,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, f0ae665f5b4a9314c77dc9ec285a335ee6ecc15b,A Heuristic Deformable Pedestrian Detection Method,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, f0f0e94d333b4923ae42ee195df17c0df62ea0b1,Scaling Manifold Ranking Based Image Retrieval,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +f0d29be1a93158d320bef285442f63bb090f6c31,An Online and Flexible Multi-Object Tracking Framework using Long Short-Term Memory,China,China,China,35.86166000,104.19539700,edu, f0e26f749fb67182a5d3864e62a3460ac333e5e4,Spatial Knowledge Distillation to aid Visual Reasoning,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, f0a4a3fb6997334511d7b8fc090f9ce894679faf,Generative Face Completion,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, f0681fc08f4d7198dcde803d69ca62f09f3db6c5,Spatiotemporal features for effective facial expression recognition,Bogazici University,Bogazici University,"Boğaziçi Üniversitesi Kuzey Yerleşkesi, Okulaltı 1. Sokak, Rumelihisarı, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34467, Türkiye",41.08688410,29.04413167,edu, -f02a6bccdaee14ab55ad94263539f4f33f1b15bb,Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +f02a6bccdaee14ab55ad94263539f4f33f1b15bb,Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +f0c99016daf4ff2dcc2cde13822714155435128e,No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f06f4bc74dc0be0a628e99a5c86ab3e00ed00276,Heated-Up Softmax Embedding,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +f0aac566e3d2c06759b8f4f45a270d5af93b9705,Ear Structure Feature Extraction Based on Multi-scale Hessian Matrix,China,China,China,35.86166000,104.19539700,edu, +f0aac566e3d2c06759b8f4f45a270d5af93b9705,Ear Structure Feature Extraction Based on Multi-scale Hessian Matrix,China,China,China,35.86166000,104.19539700,edu, +f0aac566e3d2c06759b8f4f45a270d5af93b9705,Ear Structure Feature Extraction Based on Multi-scale Hessian Matrix,China,China,China,35.86166000,104.19539700,edu, cfc4aa456d9da1a6fabd7c6ca199332f03e35b29,"Searching Video , Detecting Events and Describing Video",University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, cfc4aa456d9da1a6fabd7c6ca199332f03e35b29,"Searching Video , Detecting Events and Describing Video",Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +cfc4aa456d9da1a6fabd7c6ca199332f03e35b29,"Searching Video , Detecting Events and Describing Video",China,China,China,35.86166000,104.19539700,edu, +cfc4aa456d9da1a6fabd7c6ca199332f03e35b29,"Searching Video , Detecting Events and Describing Video",China,China,China,35.86166000,104.19539700,edu, cf64cdc889a4edaf641a307aa2b11d89d4d10a09,High-performance and energy-efficient mobile web browsing on big/little systems,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +cfd933f71f4a69625390819b7645598867900eab,Person Authentication Using Face And Palm Vein : A Survey Of Recognition And Fusion Techniques,India,India,India,20.59368400,78.96288000,edu, cf2002fac81ccdccdadb5cc43f7b1cd30882d2c2,Calibrated Prediction Intervals for Neural Network Regressors,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, cf94200a476dc15d6da95db809349db4cfd8e92c,Leveraging Motion Priors in Videos for Improving Human Segmentation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, cfb1b2006d24a81bc3f489ca0eb391e7f03788d6,Nonlinear 3D Face Morphable Model,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, cf528f9fe6588b71efa94c219979ce111fc9c1c9,On Evaluation of 6D Object Pose Estimation,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, +cf7e6d057e6ef01904770be3dfc9da29f9c1e197,An Adaptive Detection Method of Multiple Faces,China,China,China,35.86166000,104.19539700,edu, cfc14272b915828a232e29dfc2099f842b144974,Challenging Images For Minds and Machines,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, cfd700cb28529a9119824389451ddde9c041275e,Sub-Selective Quantization for Large-Scale Image Search,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, cfd700cb28529a9119824389451ddde9c041275e,Sub-Selective Quantization for Large-Scale Image Search,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, @@ -1654,39 +2022,51 @@ cf671dc13696d1643cc1f32f7d32c329b16cd745,Multiple Fisher Classifiers Combination cf671dc13696d1643cc1f32f7d32c329b16cd745,Multiple Fisher Classifiers Combination for Face Recognition based on Grouping AdaBoosted Gabor Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, cf671dc13696d1643cc1f32f7d32c329b16cd745,Multiple Fisher Classifiers Combination for Face Recognition based on Grouping AdaBoosted Gabor Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, cf393385803f4a8501d0690250c848c7149338ac,A Neural Multi-sequence Alignment TeCHnique (NeuMATCH),University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +cf393385803f4a8501d0690250c848c7149338ac,A Neural Multi-sequence Alignment TeCHnique (NeuMATCH),Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, cfdc4d0f8e1b4b9ced35317d12b4229f2e3311ab,Quaero at TRECVID 2010: Semantic Indexing,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, cf18432bb77bf41377c477b5aaab9abd0f1f306c,ReabsNet: Detecting and Revising Adversarial Examples,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, -cfa48bc1015b88809e362b4da19fe4459acb1d89,Learning to Filter Object Detections,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +cfa48bc1015b88809e362b4da19fe4459acb1d89,Learning to Filter Object Detections,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +cfa48bc1015b88809e362b4da19fe4459acb1d89,Learning to Filter Object Detections,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, cf5c9b521c958b84bb63bea9d5cbb522845e4ba7,Towards Arbitrary-View Face Alignment by Recommendation Trees,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, cf5c9b521c958b84bb63bea9d5cbb522845e4ba7,Towards Arbitrary-View Face Alignment by Recommendation Trees,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, cffebdf88e406c27b892857d1520cb2d7ccda573,LEARNING FROM LARGE-SCALE VISUAL DATA FOR ROBOTS,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, cf80b4f78e639504cbf056f29bc1efecf31b1bb2,Joint Flow: Temporal Flow Fields for Multi Person Tracking,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, +cfc9056155bf32648448b588a752f694b4e8249c,Combining Contrast Information and Local Binary Patterns for Gender Classification,Finland,Finland,Finland,61.92411000,25.74815110,edu, cf38cc0b3ff858cc1a74bbe252d2a243e2d3d5c3,Cross-Level: A Practical Strategy for Convolutional Neural Networks Based Image Classification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +cf38cc0b3ff858cc1a74bbe252d2a243e2d3d5c3,Cross-Level: A Practical Strategy for Convolutional Neural Networks Based Image Classification,China,China,China,35.86166000,104.19539700,edu, cf38cc0b3ff858cc1a74bbe252d2a243e2d3d5c3,Cross-Level: A Practical Strategy for Convolutional Neural Networks Based Image Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8,Implicit models for automatic pose estimation in static images,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, cf54d15a176ac0d8e30eb0af2fdbb3a9908064f8,Implicit models for automatic pose estimation in static images,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, cf130b2e858d162f8dc45301a1b205c0c19ca8b3,Fusion of Global and Local Features for Face Verification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, cf4e94d0337744280da87ff351412bbe702af2b7,An Informed Framework for Training Classifiers from Social Media,Hankuk University of Foreign Studies,Hankuk University of Foreign Studies,"외대앞, 휘경로, 이문동, 이문2동, 동대문구, 서울특별시, 02407, 대한민국",37.59539790,127.06304990,edu, +cf4e94d0337744280da87ff351412bbe702af2b7,An Informed Framework for Training Classifiers from Social Media,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, cf814b618fcbc9a556cdce225e74a8806867ba84,Facial Expression Recognition Using 3D Facial Feature Distances,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, cff911786b5ac884bb71788c5bc6acf6bf569eff,Multi-task Learning of Cascaded CNN for Facial Attribute Classification,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +cff911786b5ac884bb71788c5bc6acf6bf569eff,Multi-task Learning of Cascaded CNN for Facial Attribute Classification,China,China,China,35.86166000,104.19539700,edu, cf9732deb856b45aa7a9b0e90bde885d7d8a16bd,ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, cf9732deb856b45aa7a9b0e90bde885d7d8a16bd,ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, cf9732deb856b45aa7a9b0e90bde885d7d8a16bd,ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, +cfb3c1c395b146021a70ae9d5cf7c76854108a86,S-Log: Skin based Log-Gabor Approach for Face Detection in Video,India,India,India,20.59368400,78.96288000,edu, cfeb26245b57dd10de8f187506d4ed5ce1e2b7dd,CapsNet comparative performance evaluation for image classification,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, cf09e2cb82961128302b99a34bff91ec7d198c7c,OFFICE ENTRANCE CONTROL WITH FACE RECOGNITION,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, cf09e2cb82961128302b99a34bff91ec7d198c7c,OFFICE ENTRANCE CONTROL WITH FACE RECOGNITION,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, cff0e53006c6145d96322e6401e840f405b6ed02,Guest Editorial: Apparent Personality Analysis,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questions in Community Question,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questions in Community Question,India,India,India,20.59368400,78.96288000,edu, 753ed4c701296fa530ae8f824a80a50900a386a8,Privacy Protection of Biometrics Evaluation Database – A Preliminary Study on Synthetic Biometric Database,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, 750100f1a429d4fb3ec9639317296b6538a2a238,A sparse object category model for efficient learning and complete recognition,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 750100f1a429d4fb3ec9639317296b6538a2a238,A sparse object category model for efficient learning and complete recognition,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +75f0d2d8aae00da73e4122c712ad230cfebe7729,AMassively Parallel Face Recognition System,Finland,Finland,Finland,61.92411000,25.74815110,edu, +75f0d2d8aae00da73e4122c712ad230cfebe7729,AMassively Parallel Face Recognition System,Finland,Finland,Finland,61.92411000,25.74815110,edu, 7525e1fed92a780b6cb78190da360a3a7b611885,Data-specific concept correlation estimation for video annotation refinement,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 75fd9acf5e5b7ed17c658cc84090c4659e5de01d,Project-Out Cascaded Regression with an application to face alignment,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, +75cea964884a6f5c35e2954e56fc787ed8f9662c,Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models,University of Science,"University of Science, Vietnam","227 Đường Nguyễn Văn Cừ, Phường 4, Quận 5, Hồ Chí Minh, Vietnam",10.76291300,106.68217170,edu, 75cea964884a6f5c35e2954e56fc787ed8f9662c,Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 75cea964884a6f5c35e2954e56fc787ed8f9662c,Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 759b28cb6527f8820f1cffc3581884c5caa19091,Neighbor-Sensitive Hashing,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 759b28cb6527f8820f1cffc3581884c5caa19091,Neighbor-Sensitive Hashing,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 759b28cb6527f8820f1cffc3581884c5caa19091,Neighbor-Sensitive Hashing,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +75d571d53eb250e222d66461fa2400956b40eaa9,What Makes a Photograph Memorable?,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 75776ce56e649dda68d9a8f13a9df911662e5b79,Face Modelling and Tracking from Range Scans,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, 7523ead2a91191f0ecfb88fba5c0f2deeddaa256,Generating Chinese Captions for Flickr 30 K images,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 7523ead2a91191f0ecfb88fba5c0f2deeddaa256,Generating Chinese Captions for Flickr 30 K images,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, @@ -1696,8 +2076,11 @@ cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questio 756eed9fe591cf53c7ebbaba05ceeb39b212f802,Learning to Refine Human Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 75ebe1e0ae9d42732e31948e2e9c03d680235c39,Hello! My name is... Buffy'' -- Automatic Naming of Characters in TV Video,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 750465b63c19e8b33743f8f446413382f0239c97,Multi-target Tracking and Segmentation via Discriminative Appearance Model,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +750465b63c19e8b33743f8f446413382f0239c97,Multi-target Tracking and Segmentation via Discriminative Appearance Model,China,China,China,35.86166000,104.19539700,edu, 751223e9636f4624551b37d8891f0e06eeb64a5d,Multilinear Wavelets: A Statistical Shape Space for Human Faces,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 75fcbb01bc7e53e9de89cb1857a527f97ea532ce,"Detection of Facial Landmarks from Neutral, Happy, and Disgust Facial Images",University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu, +75fcbb01bc7e53e9de89cb1857a527f97ea532ce,"Detection of Facial Landmarks from Neutral, Happy, and Disgust Facial Images",Finland,Finland,Finland,61.92411000,25.74815110,edu, +754fa133a250d824c50b4c3b9c73975059954f41,Siamese Learning Visual Tracking: A Survey.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 75259a613285bdb339556ae30897cb7e628209fa,Unsupervised Domain Adaptation for Zero-Shot Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 759f7f9e4a363223dc06903ef88fed27a3a64826,Modeling and Analysis of Dynamic Behaviors of Web Image Collections,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 759f7f9e4a363223dc06903ef88fed27a3a64826,Modeling and Analysis of Dynamic Behaviors of Web Image Collections,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -1708,9 +2091,15 @@ cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questio 75b1d8339085ab03f45c0316b976755b6c5da9e9,SMD: A Locally Stable Monotonic Change Invariant Feature Descriptor,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 75aef130afb8c862575d457db6e168e8d77ae4f0,Content-based search and browsing in semantic multimedia retrieval,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,China,China,China,35.86166000,104.19539700,edu, 7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,China,China,China,35.86166000,104.19539700,edu, 7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,China,China,China,35.86166000,104.19539700,edu, 7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +7566032327a19f9ba770022677de34d7e7aeaac8,What Makes Natural Scene Memorable?,China,China,China,35.86166000,104.19539700,edu, +7553fba5c7f73098524fbb58ca534a65f08e91e7,A Practical Approach for Determination of Human Gender & Age,India,India,India,20.59368400,78.96288000,edu, +7553fba5c7f73098524fbb58ca534a65f08e91e7,A Practical Approach for Determination of Human Gender & Age,India,India,India,20.59368400,78.96288000,edu, 756db84f76d745211464b5686a67bfdc23e18c19,How to generate realistic images using gated MRF ’ s,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 75cc68a5d32539d481f11e2e7d37b1fc3a90e83a,An individual difference analysis of false recognition.,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, 75c30403bad798381afa70f225e402ee7d84cd34,Learning to generate images with perceptual similarity metrics,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, @@ -1729,6 +2118,7 @@ cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questio 75e5a1a64d9d27dbb054fc8b8d47f0e23cbbbfa4,The importance of internal facial features in learning new faces.,Plymouth University,Plymouth University,"Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37552690,-4.13937687,edu, 75dba0d604c1224ee48701d1419885c149b8a5c6,A feature-based structural measure : an image similarity measure for face recognition,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 7552a6dbee4a915b578453ed9f35a4c6cc114aa1,Now You Shake Me : Towards Automatic 4 D Cinema,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +75a92d92ee59555c847973a7422d7356514cde2d,Exploiting Multiple Detections for Person Re-Identification,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 75d2ecbbcc934563dff6b39821605dc6f2d5ffcc,Capturing Subtle Facial Motions in 3D Face Tracking,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, 75d2ecbbcc934563dff6b39821605dc6f2d5ffcc,Capturing Subtle Facial Motions in 3D Face Tracking,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 75a54f49fccee29faca8931fa8ba700030dcaa75,Ringtail: A Generalized Nowcasting System,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, @@ -1742,9 +2132,12 @@ cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questio 751e352fe52946ca3d0f51956706313ce521b658,Hierarchical power management for asymmetric multi-core in dark silicon era,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 7573ff84d71de19fe7d387bb4a6de73cb28402f4,Zero-Shot Hashing via Transferring Supervised Knowledge,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 756275128fae4ffe8389261e498f9bb49a8381b2,Designing and Testing an Anonymous Face Recognition System,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +75cf72819b8741777a961157f43d994238219f5e,Crowd Behavior Detection for Abnormal Conditions,India,India,India,20.59368400,78.96288000,edu, 75da1df4ed319926c544eefe17ec8d720feef8c0,FDDB: A benchmark for face detection in unconstrained settings,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 75da1df4ed319926c544eefe17ec8d720feef8c0,FDDB: A benchmark for face detection in unconstrained settings,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 759f4f7601292c37e2f1c4a5a9f53075e9e355ec,Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +7557e81c1189f0ef9643519e0664d60baed51721,Robust and Efficient Graph Correspondence Transfer for Person Re-identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7557e81c1189f0ef9643519e0664d60baed51721,Robust and Efficient Graph Correspondence Transfer for Person Re-identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 755416b8d2080f5d9e894130e5115a471e9d8793,Learning to Recognize Objects by Retaining Other Factors of Variation,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 7574f999d2325803f88c4915ba8f304cccc232d1,Transfer Learning for Cross-Dataset Recognition: A Survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 7574f999d2325803f88c4915ba8f304cccc232d1,Transfer Learning for Cross-Dataset Recognition: A Survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, @@ -1760,6 +2153,9 @@ cf112556c47c6959fc5760877e794b2862f2f3e6,Retrieving Semantically Similar Questio 7536b6a9f3cb4ae810e2ef6d0219134b4e546dd0,Semi-Automatic Image Labelling Using Depth Information,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 750896331f6d74495037f6c8f6c821b0c50ee44e,Deconstructing the Deformable Parts Model : Do More with Less,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, ccdea57234d38c7831f1e9231efcb6352c801c55,Illumination Processing in Face Recognition 187 Illumination Processing in Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +ccdea57234d38c7831f1e9231efcb6352c801c55,Illumination Processing in Face Recognition 187 Illumination Processing in Face Recognition,China,China,China,35.86166000,104.19539700,edu, +ccf5852bfb55e1fa6760f76139ab44dab89f2a17,"Recognize Faces across MultiView Videos and under Varying Illumination , Facial Expressions",India,India,India,20.59368400,78.96288000,edu, +ccf5852bfb55e1fa6760f76139ab44dab89f2a17,"Recognize Faces across MultiView Videos and under Varying Illumination , Facial Expressions",India,India,India,20.59368400,78.96288000,edu, cc4fc9a309f300e711e09712701b1509045a8e04,Continuous Supervised Descent Method for Facial Landmark Localisation,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu, cc4fc9a309f300e711e09712701b1509045a8e04,Continuous Supervised Descent Method for Facial Landmark Localisation,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, cc4fc9a309f300e711e09712701b1509045a8e04,Continuous Supervised Descent Method for Facial Landmark Localisation,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, @@ -1767,6 +2163,7 @@ cc3ef62b4a7eb6c4e45302deb89df2e547b6efcc,Creating Picture Legends for Group Phot cc94b423c298003f0f164e63e63177d443291a77,Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, cc2cf8f69cd2d16c9bee2bb6c598548e7ff7cb05,Unsupervised Learning of Invariant Representations in Visual Cortex ( and in Deep Learning Architectures ),McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu, cc2cf8f69cd2d16c9bee2bb6c598548e7ff7cb05,Unsupervised Learning of Invariant Representations in Visual Cortex ( and in Deep Learning Architectures ),MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +cc2cf8f69cd2d16c9bee2bb6c598548e7ff7cb05,Unsupervised Learning of Invariant Representations in Visual Cortex ( and in Deep Learning Architectures ),Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, ccf413e4a730ee228769c82a8af1fddc2857fbe8,Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, cc200b665f6c446747a48d01e89f6b1e7d7781d4,Face Recognition in Mobile Devices,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, cc2eaa182f33defbb33d69e9547630aab7ed9c9c,Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -1779,26 +2176,36 @@ cc70f4af018de5e5bdc8075dbdf1bbe49a6f0b4a,Generative adversarial network-based sy ccb0353fd1aa19b50fca8d69f9b9c9f1752dd55b,Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, ccb0353fd1aa19b50fca8d69f9b9c9f1752dd55b,Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, ccb0353fd1aa19b50fca8d69f9b9c9f1752dd55b,Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +ccb0353fd1aa19b50fca8d69f9b9c9f1752dd55b,Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach,China,China,China,35.86166000,104.19539700,edu, ccc57280e2c50381a692a67ed53124ad1b735686,Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, ccb9ffa26b28dffc4f7d613821d1a9f0d60ea3f4,Online Adaptation of Convolutional Neural Networks for Video Object Segmentation,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, +cc8e378fd05152a81c2810f682a78c5057c8a735,Expression Invariant Face Recognition System based on Topographic Independent Component Analysis and Inner Product Classifier,India,India,India,20.59368400,78.96288000,edu, ccd126c1337d29e3bd366579549fa4dc04443fed,Efficient 3D Tracking in Urban Environments with Semantic Segmentation,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, ccf16bcf458e4d7a37643b8364594656287f5bfc,Cascade for Landmark Guided Semantic Part Segmentation,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, +ccf43c62e4bf76b6a48ff588ef7ed51e87ddf50b,Nutraceuticals and Cosmeceuticals for Human Beings – An Overview,India,India,India,20.59368400,78.96288000,edu, ccd7a6b9f23e983a3fc6a70cc3b9c9673d70bf2c,Symmetrical Two-Dimensional PCA with Image Measures in Face Recognition Regular Paper,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, ccd7a6b9f23e983a3fc6a70cc3b9c9673d70bf2c,Symmetrical Two-Dimensional PCA with Image Measures in Face Recognition Regular Paper,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +cc5d91b20c8769d1f040ff9a5166f76cc19d2d55,Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces,"CVIT, KCIS, IIIT Hyderabad, India","CVIT, KCIS, IIIT Hyderabad, India","IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India",17.44509810,78.34976780,edu, +cc5d91b20c8769d1f040ff9a5166f76cc19d2d55,Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces,"CVIT, KCIS, IIIT Hyderabad, India","CVIT, KCIS, IIIT Hyderabad, India","IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India",17.44509810,78.34976780,edu, cc7e66f2ba9ac0c639c80c65534ce6031997acd7,Facial Descriptors for Identity-Preserving Multiple People Tracking,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, cc5a1cf7ad9d644f21a5df799ffbcb8d1e24abe1,"MonoPerfCap : Human Performance Capture from Monocular Video WEIPENGXU , AVISHEKCHATTERJEE , MICHAELZOLLHÖFER , HELGERHODIN , DUSHYANTMEHTA",Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, cceab479d37060b0952439d9bd6fbbba5de1d550,VizWiz Grand Challenge: Answering Visual Questions from Blind People,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, ccd02b5cb6acee7db170c0fb7f4cf0dd64a8499f,Generation with Recursive Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, ccebecf0e24f76262d85f55712010632ea04c0af,Stepwise Nearest Neighbor Discriminant Analysis,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +ccfcbf0eda6df876f0170bdb4d7b4ab4e7676f18,A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +cc2df3a03ee731478ed48838c284ad4548563308,Towards a Better Metric for Evaluating Question Generation Systems,"IIT Madras, India","IIT Madras, India","Indian Institute Of Technology, Chennai, Tamil Nadu 600036, India",12.99149290,80.23369070,edu, cc353489ceaba1f58bd44f54316bc8319eba5fb9,Program Synthesis from Visual Specification,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, cc38942825d3a2c9ee8583c153d2c56c607e61a7,Database Cross Matching: A Novel Source of Fictitious Forensic Cases,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, cc9057d2762e077c53e381f90884595677eceafa,On the Exploration of Joint Attribute Learning for Person Re-identification,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, ccd3dcbccae7d903608530bddf6381db8e723a7d,Unsupervised Domain Adaptation for Semantic Segmentation with GANs,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, ccd3dcbccae7d903608530bddf6381db8e723a7d,Unsupervised Domain Adaptation for Semantic Segmentation with GANs,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, +cc392ab1cfaee298e05488a4a1d84ece12220880,A new multi-scale fuzzy model for Histogram-Based Descriptors,China,China,China,35.86166000,104.19539700,edu, ccc65463198ee0a0db9b303a3dc903c762dbccaa,Adaptive Selection of Deep Learning Models on Embedded Systems,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, ccc65463198ee0a0db9b303a3dc903c762dbccaa,Adaptive Selection of Deep Learning Models on Embedded Systems,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, +cc31db984282bb70946f6881bab741aa841d3a7c,Learning Grimaces by Watching TV,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, cc589c499dcf323fe4a143bbef0074c3e31f9b60,A 3D facial expression database for facial behavior research,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, ccdf24d85fc14b4710dcee268355548f166ba870,Recognition in-the-Tail: Training Detectors for Unusual Pedestrians with Synthetic Imposters,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +ccdf24d85fc14b4710dcee268355548f166ba870,Recognition in-the-Tail: Training Detectors for Unusual Pedestrians with Synthetic Imposters,China,China,China,35.86166000,104.19539700,edu, ccdf24d85fc14b4710dcee268355548f166ba870,Recognition in-the-Tail: Training Detectors for Unusual Pedestrians with Synthetic Imposters,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, cca9ae621e8228cfa787ec7954bb375536160e0d,Learning to Collaborate for User-Controlled Privacy,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, cca9ae621e8228cfa787ec7954bb375536160e0d,Learning to Collaborate for User-Controlled Privacy,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, @@ -1810,6 +2217,7 @@ cca9ae621e8228cfa787ec7954bb375536160e0d,Learning to Collaborate for User-Contro 9507b1a7af5442f8c247451a63400893de34d9f9,Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu, 950171acb24bb24a871ba0d02d580c09829de372,Speeding up 2 D-Warping for Pose-Invariant Face Recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 95a5cb872321addb28d5dc22ffad9586f113738a,MinMax Radon Barcodes for Medical Image Retrieval,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +95a5cb872321addb28d5dc22ffad9586f113738a,MinMax Radon Barcodes for Medical Image Retrieval,China,China,China,35.86166000,104.19539700,edu, 95a5cb872321addb28d5dc22ffad9586f113738a,MinMax Radon Barcodes for Medical Image Retrieval,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 95a5cb872321addb28d5dc22ffad9586f113738a,MinMax Radon Barcodes for Medical Image Retrieval,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 9530be236c0bf9c32d39ff35571a496cbd266e01,Face Recognition in the Thermal Infrared Spectrum,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, @@ -1826,20 +2234,31 @@ cca9ae621e8228cfa787ec7954bb375536160e0d,Learning to Collaborate for User-Contro 9534a04de5e99a44df76ea30140f66a62e83fdaa,Iteratively Trained Interactive Segmentation,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 95ed1c17f75d0f0c19d38d3874b008610be24e65,Pedestrian Detection Based on HOG Features Optimized by Gentle AdaBoost in ROI,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 95ed1c17f75d0f0c19d38d3874b008610be24e65,Pedestrian Detection Based on HOG Features Optimized by Gentle AdaBoost in ROI,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, +95ed1c17f75d0f0c19d38d3874b008610be24e65,Pedestrian Detection Based on HOG Features Optimized by Gentle AdaBoost in ROI,China,China,China,35.86166000,104.19539700,edu, +95ed1c17f75d0f0c19d38d3874b008610be24e65,Pedestrian Detection Based on HOG Features Optimized by Gentle AdaBoost in ROI,China,China,China,35.86166000,104.19539700,edu, 959f28afa9502099cf0e8ede036ec2e19e4e5232,"Face Recognition Using 2 D , 3 D and Infra-Red : Is Multi-modal Better Than Multi-sample ?",University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 95debf4c4f88d48a71bae9bfea4032355805aa2f,Bounding the Probability of Error for High Precision Optical Character Recognition,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 95debf4c4f88d48a71bae9bfea4032355805aa2f,Bounding the Probability of Error for High Precision Optical Character Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 95debf4c4f88d48a71bae9bfea4032355805aa2f,Bounding the Probability of Error for High Precision Optical Character Recognition,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, +9595a267de2b0ecf7e4e2962a606c8854551e203,On the Relation between Color Image Denoising and Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 95616c511e1eada5c4fba090fe739a4554711e22,Lip Contour Localization using Statistical Shape Models,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +956c634343e49319a5e3cba4f2bd2360bdcbc075,A novel incremental principal component analysis and its application for face recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +95ace502ba23a8a5543b882937de23b892112cca,Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +951f21a5671a4cd14b1ef1728dfe305bda72366f,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu, +951f21a5671a4cd14b1ef1728dfe305bda72366f,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu, 95f74ce5a69fdcd2abda908724d2ab4977e72100,Using Syntax to Ground Referring Expressions in Natural Images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 95d567081510e8e59834febc958668015c174602,Combining Gabor features: summing vs. voting in human face recognition,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, 95896eef75a5fc6c8a7ac2531e76c423d678d2e7,Image Generation from Sketch Constraint Using Contextual GAN,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, 95896eef75a5fc6c8a7ac2531e76c423d678d2e7,Image Generation from Sketch Constraint Using Contextual GAN,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +959bcb16afdf303c34a8bfc11e9fcc9d40d76b1c,Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks,India,India,India,20.59368400,78.96288000,edu, 95df7770a5036c87104df23f333aa05e67723cdc,DeepDiary: Automatically Captioning Lifelogging Image Streams,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 95f4b88d4b0a725d786b34558b60af47f5442230,Reconfigurable Processor for Deep Learning in Autonomous Vehicles,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +95f4b88d4b0a725d786b34558b60af47f5442230,Reconfigurable Processor for Deep Learning in Autonomous Vehicles,China,China,China,35.86166000,104.19539700,edu, 95f4b88d4b0a725d786b34558b60af47f5442230,Reconfigurable Processor for Deep Learning in Autonomous Vehicles,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 95f4b88d4b0a725d786b34558b60af47f5442230,Reconfigurable Processor for Deep Learning in Autonomous Vehicles,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 95a0c9f41d0cc6f45853d616d5476b8aee54ff0a,Deep Variational Inference Without Pixel-Wise Reconstruction,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +954909051c1d7d5a8ba885f1c09afe04c8aab0fb,IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks,China,China,China,35.86166000,104.19539700,edu, +954909051c1d7d5a8ba885f1c09afe04c8aab0fb,IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks,China,China,China,35.86166000,104.19539700,edu, 95cfe8da0d8225c8f6304713719846a7716894cf,Integrating Perception and Cognition for AGI,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 95cfe8da0d8225c8f6304713719846a7716894cf,Integrating Perception and Cognition for AGI,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 95cfe8da0d8225c8f6304713719846a7716894cf,Integrating Perception and Cognition for AGI,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -1849,23 +2268,30 @@ cca9ae621e8228cfa787ec7954bb375536160e0d,Learning to Collaborate for User-Contro 95a3af61b398976c13d96baa32481e1bf4a31984,Geometric Enclosing Networks,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, 95a3af61b398976c13d96baa32481e1bf4a31984,Geometric Enclosing Networks,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, 954af3d46d023d73c7ee97f2264451080f542084,The Interplay between Emotion and Cognition in Autism Spectrum Disorder: Implications for Developmental Theory,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +95fb31beaa745557fa33ec4f670ab4e130ff5bf4,Speeding up spatial approximation search in metric spaces,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 9507e5c59c45e68b964fdaf40e39569dcc754be3,Hybrid Supervised-unsupervised Image Topic Visualization with Convolutional Neural Network and LDA,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 956466b5c3036ada2e18f8f7c1b7bf0650779d08,Learning patch-dependent kernel forest for person re-identification,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, 956d6e48598cac9aa6129a87a7f8cdb634917aa1,R 2 SDH : Robust Rotated Supervised Discrete Hashing,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 951b133220921ce04e9da9d189077124be2b9af1,Face Recognition from Sequential Sparse 3D data via Deep Registration,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 95f12d27c3b4914e0668a268360948bce92f7db3,Interactive Facial Feature Localization,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 95f26d1c80217706c00b6b4b605a448032b93b75,New Robust Face Recognition Methods Based on Linear Regression,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +95f26d1c80217706c00b6b4b605a448032b93b75,New Robust Face Recognition Methods Based on Linear Regression,China,China,China,35.86166000,104.19539700,edu, c8da81fb5551941295ad815051d39dc461008751,Hybrid forests for left ventricle segmentation using only the first slice label,Moulay Ismail University,Moulay Ismail University,"Marjane 2, BP: 298، Meknes 50050, Morocco",33.85611100,-5.57439100,edu,Moulay Ismail University c89ddb0e978b78c062fbf9ea992da83e4b38778e,2D and 3D Multimodal Hybrid Face Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +c86e6ed734d3aa967deae00df003557b6e937d3d,Generative Adversarial Networks with Decoder-Encoder Output Noise,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, c8d15a58794e4b383424d2d057a518689a278b8d,Field Effect Deep Networks for Image Recognition with Incomplete Data,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, c8d15a58794e4b383424d2d057a518689a278b8d,Field Effect Deep Networks for Image Recognition with Incomplete Data,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, c8d15a58794e4b383424d2d057a518689a278b8d,Field Effect Deep Networks for Image Recognition with Incomplete Data,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, c87d5036d3a374c66ec4f5870df47df7176ce8b9,Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +c87d5036d3a374c66ec4f5870df47df7176ce8b9,Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials,Russia,Russia,Russia,61.52401000,105.31875600,edu, +c87d5036d3a374c66ec4f5870df47df7176ce8b9,Temporal Dynamics of Natural Static Emotional Facial Expressions Decoding: A Study Using Event- and Eye Fixation-Related Potentials,Finland,Finland,Finland,61.92411000,25.74815110,edu, c8a5c5c8e1293b7e877a848b7a9e5426c5400651,FaceShop: Deep Sketch-based Face Image Editing,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, c88ce5ef33d5e544224ab50162d9883ff6429aa3,Face Match for Family Reunification: Real-World Face Image Retrieval,Central Washington University,Central Washington University,"Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA",47.00646895,-120.53673040,edu, c88173aac29baa13d615c5be858290a14f0493c9,INNS Conference on Big Data Generic Object Recognition with Local Receptive Fields Based Extreme Learning Machine,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, c8dc902b82831e1f1b587c590cdc34b5d12bdc5c,DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, c8b4df94686ae4d308e859eddc0e00921a17fe75,GraphBit : Bitwise Interaction Mining via Deep Reinforcement Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +c8b4df94686ae4d308e859eddc0e00921a17fe75,GraphBit : Bitwise Interaction Mining via Deep Reinforcement Learning,China,China,China,35.86166000,104.19539700,edu, +c8b4df94686ae4d308e859eddc0e00921a17fe75,GraphBit : Bitwise Interaction Mining via Deep Reinforcement Learning,China,China,China,35.86166000,104.19539700,edu, c8671a739a95f57946a625c3eada1f4addc60aea,Transferable Interactiveness Prior for Human-Object Interaction Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, c8e20a4981e907c77ccbfe6ae39673aa43249f41,Neuromorphic Hardware Accelerated Adaptive Authentication System,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, c817c3a0acfc49f7eca0e9855b550e242aa0a6d5,Generalized Zero-Shot Learning with Deep Calibration Network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -1874,10 +2300,15 @@ c8c714c100a754baf7d86d240ec35207fcf84b06,Person Re-identification Meets Image Se c8c714c100a754baf7d86d240ec35207fcf84b06,Person Re-identification Meets Image Search.,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, c8829013bbfb19ccb731bd54c1a885c245b6c7d7,Flexible Template and Model Matching Using Image Intensity,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, c87035f4b5cdb8597db20e9dc319c2a06d752197,Learning Latent Subspaces in Variational Autoencoders,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +c896946612069f162864edfbecf5c1a8a077ed79,The Image Multi Feature Retrieval based on SVM Semantic Classification,China,China,China,35.86166000,104.19539700,edu, +c896946612069f162864edfbecf5c1a8a077ed79,The Image Multi Feature Retrieval based on SVM Semantic Classification,China,China,China,35.86166000,104.19539700,edu, +c896946612069f162864edfbecf5c1a8a077ed79,The Image Multi Feature Retrieval based on SVM Semantic Classification,China,China,China,35.86166000,104.19539700,edu, c84b2cda2d645475f25d8b8f34b8f21ad3aa059c,HUMAN FACE DETECTION AND EYE LOCALIZATION IN VIDEO USING WAVELETS,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, c8e438dbfbd6c2d04a3b4df2fb6796e6d279290e,Gated-Dilated Networks for Lung Nodule Classification in CT scans,Monash University Malaysia,Monash University Malaysia,"Monash University Malaysia, Jalan Lagoon Selatan, Kampung Lembah Kinrara, SS13, Subang Jaya, Selangor, 47500, Malaysia",3.06405715,101.60059740,edu, c829be73584966e3162f7ccae72d9284a2ebf358,shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -c829be73584966e3162f7ccae72d9284a2ebf358,shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu, +c829be73584966e3162f7ccae72d9284a2ebf358,shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing,China,China,China,35.86166000,104.19539700,edu, +c829be73584966e3162f7ccae72d9284a2ebf358,shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing,"Beijing Institute of Technology, Beijing, China","Beijing Institute of Technology, Beijing, China","Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China",39.96443100,116.31031900,edu, +c84233f854bbed17c22ba0df6048cbb1dd4d3248,Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes,India,India,India,20.59368400,78.96288000,edu, c85340a0d428ff0b47f1a4d92fc92157cb7664f0,"Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features",Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, c85340a0d428ff0b47f1a4d92fc92157cb7664f0,"Multi-Label Music Genre Classification from Audio, Text and Images Using Deep Features",Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, c8a865aba30ece776367dc32c79ded3c263312f5,University of Groningen Deep Colorization for Facial Gender Recognition,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, @@ -1885,6 +2316,9 @@ c8c83ab64d99b16ef3248cbeccc95f7049e324d5,Nearest Prime Simplicial Complex for Ob c8c83ab64d99b16ef3248cbeccc95f7049e324d5,Nearest Prime Simplicial Complex for Object Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, c8ca6a2dc41516c16ea0747e9b3b7b1db788dbdd,Track Facial Points in Unconstrained Videos,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, c87f7ee391d6000aef2eadb49f03fc237f4d1170,A real-time and unsupervised face Re-Identification system for Human-Robot Interaction,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +c8012c6d71c286777b7a818c4cadb540d8549b43,Diagnosis of Esophagitis Based on Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu, +c8012c6d71c286777b7a818c4cadb540d8549b43,Diagnosis of Esophagitis Based on Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu, +c8012c6d71c286777b7a818c4cadb540d8549b43,Diagnosis of Esophagitis Based on Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu, c8c5944ec503744304e026284182fce26d74cd92,Pose Guided Visual Attention for Action Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, c8e84cdff569dd09f8d31e9f9ba3218dee65e961,Dictionaries for image and video-based face recognition [Invited].,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, c8e84cdff569dd09f8d31e9f9ba3218dee65e961,Dictionaries for image and video-based face recognition [Invited].,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, @@ -1895,7 +2329,7 @@ c8663b8d0d8cdbbbb3e9a5b7e46bc33b3eac96a7,Structural Recurrent Neural Network (SR c8663b8d0d8cdbbbb3e9a5b7e46bc33b3eac96a7,Structural Recurrent Neural Network (SRNN) for Group Activity Analysis,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, c86ce9fc2bd5aea98869cf1f31d03e05e7ec672c,FOIL it! Find One mismatch between Image and Language caption,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, c88c21eb9a8e08b66c981db35f6556f4974d27a8,Attribute Learning using Joint Human and Machine Computation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, -c88c21eb9a8e08b66c981db35f6556f4974d27a8,Attribute Learning using Joint Human and Machine Computation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +c88c21eb9a8e08b66c981db35f6556f4974d27a8,Attribute Learning using Joint Human and Machine Computation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, c8a22550297a25dadd283089f009015bc0df5eed,Neural circuits in the brain that are activated when mitigating criminal sentences,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, c8be6a59b1c29a1a44a0792985baf365298123e2,Visual Surveillance on DSP-Based Embedded Platforms Clemens,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, c8e1c1a82b76d7bfd69c04ab6ab057bb946e262f,Towards Deep Cellular Phenotyping in Placental Histology,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -1911,6 +2345,8 @@ c8fc81a54ccef6d8111e7253283fc55e7e0f8ebd,High Resolution Face Completion with Mu c8fc81a54ccef6d8111e7253283fc55e7e0f8ebd,High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, c8fc81a54ccef6d8111e7253283fc55e7e0f8ebd,High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, c8292aa152a962763185e12fd7391a1d6df60d07,Camera Distance from Face Images,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +c81ee278d27423fd16c1a114dcae486687ee27ff,Search Based Face Annotation Using Weakly Labeled Facial Images,India,India,India,20.59368400,78.96288000,edu, +c81ee278d27423fd16c1a114dcae486687ee27ff,Search Based Face Annotation Using Weakly Labeled Facial Images,India,India,India,20.59368400,78.96288000,edu, 690f5d35489c63ec7309b9e4d77c929815065257,Complementary effects of gaze direction and early saliency in guiding fixations during free viewing.,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 690f5d35489c63ec7309b9e4d77c929815065257,Complementary effects of gaze direction and early saliency in guiding fixations during free viewing.,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 690f5d35489c63ec7309b9e4d77c929815065257,Complementary effects of gaze direction and early saliency in guiding fixations during free viewing.,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, @@ -1919,9 +2355,12 @@ c8292aa152a962763185e12fd7391a1d6df60d07,Camera Distance from Face Images,"Unive 69b5dd48d0f6f95f4dba5ad8b35b51de446b632f,MGGAN: Solving Mode Collapse using Manifold Guided Training,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 690ef94605f63fd0094beff056521b117430ee6c,Designing a smart card face verification system,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 690ef94605f63fd0094beff056521b117430ee6c,Designing a smart card face verification system,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +69063f7e0a60ad6ce16a877bc8f11b59e5f7348e,Class-Specific Image Deblurring,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 695733af422d3cea7ae8ab4468fe2f741cda46c8,Learning with power l 1-graph for single labeled image biometric recognition,Xi'an Jiaotong University,Xi'an Jiaotong University,"西安交通大学兴庆校区, 文治路, 乐居场, 碑林区 (Beilin), 西安市, 陕西省, 710048, 中国",34.24749490,108.97898751,edu, +6960bfc668aad1b537fbf3f1b48328e7d440b80b,Fully Automatic Recognition of the Temporal Phases of Facial Actions,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 694d831156293642e63103cd1921eed37e77a68f,Detection of Multiple Pedestrians using Motion Information and Adaboost Algorithm,Yeungnam University,Yeungnam University,"영남대, 대학로, 부적리, 경산시, 경북, 712-749, 대한민국",35.83654030,128.75343090,edu, 697afaded9d96fece5e5693c80085a3f099ddc64,Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +6903496ee5d4c24ca5f3f18211f406e0ba8442d6,Multi-Mapping Image-to-Image Translation with Central Biasing Normalization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 69522bd70f1c64e9073753ccf335382be5aa1cd9,GEOMETRIC FEATURE BASED AGE CLASSIFICATION USING FACIAL IMAGES,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, 69522bd70f1c64e9073753ccf335382be5aa1cd9,GEOMETRIC FEATURE BASED AGE CLASSIFICATION USING FACIAL IMAGES,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, 69ad645516fa5cd4cd45fc217edcbf83bc0f65be,Multi-camera People Tracking with Hierarchical Likelihood Grids,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, @@ -1934,26 +2373,35 @@ c8292aa152a962763185e12fd7391a1d6df60d07,Camera Distance from Face Images,"Unive 693e0da15094071de5eebd2f36f8b4023f91f161,Can facial metrology predict gender?,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, 691463f3f7acb0502e21b40958c1ecdee16d1fe0,Adaptive Markov Random Fields for Example-Based Super-resolution of Faces,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 697f0e24f24b016cef9474db485fe61a667f07b8,VISER: Visual Self-Regularization,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +6965de4410921cff014a48b071f2c4c52c1da0fd,Human object estimation via backscattered radio frequency signal,China,China,China,35.86166000,104.19539700,edu, 6965de4410921cff014a48b071f2c4c52c1da0fd,Human object estimation via backscattered radio frequency signal,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 6965de4410921cff014a48b071f2c4c52c1da0fd,Human object estimation via backscattered radio frequency signal,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +6965de4410921cff014a48b071f2c4c52c1da0fd,Human object estimation via backscattered radio frequency signal,China,China,China,35.86166000,104.19539700,edu, +69a55c30c085ad1b72dd2789b3f699b2f4d3169f,Automatic Happiness Strength Analysis of a Group of People using Facial Expressions,India,India,India,20.59368400,78.96288000,edu, 697e6552326bc04a80b510f91e3a83c23159fa4b,Are You Talking to Me ? Detecting Attention in First-Person Interactions,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab,"A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition",Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab,"A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 693aa0a76d5f94fb14d76c61c8ba7bd1e53d3aab,"A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +691eb8eb9f5d5fbf5d76349098b78e5d6fc25ccc,Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 69a7c8bca699ee4100fbe6a83b72459c132a6f10,Aware Person Re-identification across Multiple Resolutions,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 696d114f57aa6798a5d16aaf847a78942ab9949f,Efficient Similarity Derived from Kernel-Based Transition Probability,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, 69556424ec4daaa2b932790dba7bc8b826abc574,"Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow","University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 69291d44eb4fdf848a06defe99a74cb75026c70b,Automatic Detection of a Driver's Complex Mental States,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 69291d44eb4fdf848a06defe99a74cb75026c70b,Automatic Detection of a Driver's Complex Mental States,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +69c8b0ec77d3164df2069a5133780a36ec8e91ad,Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 69fb98e11df56b5d7ec7d45442af274889e4be52,Harnessing the Deep Net Object Models for Enhancing Human Action Recognition,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, 69fb98e11df56b5d7ec7d45442af274889e4be52,Harnessing the Deep Net Object Models for Enhancing Human Action Recognition,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 696bfa059fcc459c30af21c84d116ad77fb11197,Isoradius Contours: New Representations and Techniques for 3D Face Registration and Matching,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 6926676e0b710717e373926e1302bfb441c5c503,Fisher Non-negative Matrix Factorization with Pairwise Weighting,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, -69870df2c7a6d2e2bfef201968aecd24eb18794d,We are Humor Beings: Understanding and Predicting Visual Humor,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +69447482c6d7d0fde4001231ca84c31f866a2d5d,Survey of Advanced Facial Feature Tracking and Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu, +69447482c6d7d0fde4001231ca84c31f866a2d5d,Survey of Advanced Facial Feature Tracking and Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu, +69870df2c7a6d2e2bfef201968aecd24eb18794d,We are Humor Beings: Understanding and Predicting Visual Humor,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 691964c43bfd282f6f4d00b8b0310c554b613e3b,Temporal Hallucinating for Action Recognition with Few Still Images,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 6964af90cf8ac336a2a55800d9c510eccc7ba8e1,Temporal Relational Reasoning in Videos,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 69adbfa7b0b886caac15ebe53b89adce390598a3,Face hallucination using cascaded super-resolution and identity priors,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 69adbfa7b0b886caac15ebe53b89adce390598a3,Face hallucination using cascaded super-resolution and identity priors,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +695e4c975740d2aedcfc42d7ec445b4b2b56cbeb,Principal Component Analysis : An Efficient Facial Feature Extraction Technique,India,India,India,20.59368400,78.96288000,edu, +695e4c975740d2aedcfc42d7ec445b4b2b56cbeb,Principal Component Analysis : An Efficient Facial Feature Extraction Technique,India,India,India,20.59368400,78.96288000,edu, 6993bca2b3471f26f2c8a47adfe444bfc7852484,The Do’s and Don’ts for CNN-Based Face Verification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 69c2ac04693d53251500557316c854a625af84ee,"years of biometric research : Accomplishments , challenges , and opportunities ✩",Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 69eb6c91788e7c359ddd3500d01fb73433ce2e65,RAPH : Distributed Graph Processing for Camera Networks,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, @@ -1972,6 +2420,7 @@ c8292aa152a962763185e12fd7391a1d6df60d07,Camera Distance from Face Images,"Unive 69e054acbf09a4bebac1c4b14c3f6a1ac6d199b0,Can feature-based inductive transfer learning help person re-identification?,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, 699797728e0e88f9821647dee2c40b86931c1f77,Online Multi-target Tracking with Strong and Weak Detections,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 6941b32d99ddf46e9ccea39a5a32d2133801fabb,Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +6941b32d99ddf46e9ccea39a5a32d2133801fabb,Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network,China,China,China,35.86166000,104.19539700,edu, 6941b32d99ddf46e9ccea39a5a32d2133801fabb,Real-Time Ground Vehicle Detection in Aerial Infrared Imagery Based on Convolutional Neural Network,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, d5b0e73b584be507198b6665bcddeba92b62e1e5,Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation,Macau University of Science and Technology,Macau University of Science and Technology,"Universidade de Ciência e Tecnologia de Macau 澳門科技大學 Macau University of Science and Technology, 偉龍馬路 Avenida Wai Long, 氹仔Taipa, 氹仔舊城區 Vila de Taipa, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, 澳門 Macau, 853, 中国",22.15263985,113.56803206,edu, d5b0e73b584be507198b6665bcddeba92b62e1e5,Multi-Region Ensemble Convolutional Neural Network for High Accuracy Age Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -1979,6 +2428,7 @@ d5b0e73b584be507198b6665bcddeba92b62e1e5,Multi-Region Ensemble Convolutional Neu d5afd7b76f1391321a1340a19ba63eec9e0f9833,Statistical Analysis of Human Facial Expressions,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, d5afd7b76f1391321a1340a19ba63eec9e0f9833,Statistical Analysis of Human Facial Expressions,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, d58f1d2fc5ea941253ff71aac7683fd3909cc71f,A Unified Framework of Subspace and Distance Metric Learning for Face Recognition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +d58f1d2fc5ea941253ff71aac7683fd3909cc71f,A Unified Framework of Subspace and Distance Metric Learning for Face Recognition,China,China,China,35.86166000,104.19539700,edu, d56c5f0a23ecef2eeaad1b882829d709fa172632,A Temporally-Aware Interpolation Network for Video Frame Inpainting,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, d5440779ca69a2f010e57250f53a9be0116305e3,Emotional face expression modulates occipital-frontal effective connectivity during memory formation in a bottom-up fashion,University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu, d5440779ca69a2f010e57250f53a9be0116305e3,Emotional face expression modulates occipital-frontal effective connectivity during memory formation in a bottom-up fashion,University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu, @@ -1988,6 +2438,12 @@ d5440779ca69a2f010e57250f53a9be0116305e3,Emotional face expression modulates occ d5820ce33563f44f0c3127d46654a2b48aac12cc,Tree Memory Networks for modelling long-term temporal dependencies,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, d5820ce33563f44f0c3127d46654a2b48aac12cc,Tree Memory Networks for modelling long-term temporal dependencies,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, d5375f51eeb0c6eff71d6c6ad73e11e9353c1f12,Manifold Ranking-Based Locality Preserving Projections,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, +d5375f51eeb0c6eff71d6c6ad73e11e9353c1f12,Manifold Ranking-Based Locality Preserving Projections,China,China,China,35.86166000,104.19539700,edu, +d54f508c943b8415bfdd30d9210869ec93ff3f03,A method of illumination compensation for human face image based on quotient image q,China,China,China,35.86166000,104.19539700,edu, +d54f508c943b8415bfdd30d9210869ec93ff3f03,A method of illumination compensation for human face image based on quotient image q,China,China,China,35.86166000,104.19539700,edu, +d59f18fcb07648381aa5232842eabba1db52383e,Robust Facial Expression Recognition using Spatially Localized Geometric Model 125 2 . IDENTIFICATION OF FEATURE REGIONS,India,India,India,20.59368400,78.96288000,edu, +d59f18fcb07648381aa5232842eabba1db52383e,Robust Facial Expression Recognition using Spatially Localized Geometric Model 125 2 . IDENTIFICATION OF FEATURE REGIONS,India,India,India,20.59368400,78.96288000,edu, +d59f18fcb07648381aa5232842eabba1db52383e,Robust Facial Expression Recognition using Spatially Localized Geometric Model 125 2 . IDENTIFICATION OF FEATURE REGIONS,India,India,India,20.59368400,78.96288000,edu, d5525d00bc2099700711751e33f0fae9a58577ca,Beyond Holistic Object Recognition: Enriching Image Understanding with Part States,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, d589e218cc3f1b10e77d272cca5df3525e06fc95,Multi-View Image Generation from a Single-View,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, d589e218cc3f1b10e77d272cca5df3525e06fc95,Multi-View Image Generation from a Single-View,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, @@ -1996,20 +2452,24 @@ d56b65d0f65afdfdc217c880e9c8fdcafb23bfbe,Face Image Relighting using Locally Con d561f8bb5d09e47348c86b40b5f6e4fe524fed36,Hierarchical Context Modeling Using Incremental Deep Boltzmann Machines,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, d561f8bb5d09e47348c86b40b5f6e4fe524fed36,Hierarchical Context Modeling Using Incremental Deep Boltzmann Machines,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, d58c44bd9b464d9ac1db1344445c31364925f75a,TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +d58c44bd9b464d9ac1db1344445c31364925f75a,TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, d522d63e0e8bdbee314b45085baf40caa08fd6b1,Survey of Hashing Techniques for Compact Bit Representations of Images,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, d5607567305b690f914fe8b043f3ca48aed57fc9,A Fast Face Detection Method via Convolutional Neural Network,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, d5f1886482893adf2f61e3b344d5483c86792ab5,A Study of Face Recognition as People Age,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, d5f1886482893adf2f61e3b344d5483c86792ab5,A Study of Face Recognition as People Age,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, d5fa9d98c8da54a57abf353767a927d662b7f026,Age Estimation based on Neural Networks using Face Features,"Islamic University of Gaza, Palestine",Islamic University of Gaza - Palestine,"The Islamic University of Gaza, Mostafa Hafez Street, South Remal, محافظة غزة, ‏قطاع غزة‎, PO BOX 108, الأراضي الفلسطينية",31.51368535,34.44019341,edu, d5d7e89e6210fcbaa52dc277c1e307632cd91dab,DOTA: A Large-scale Dataset for Object Detection in Aerial Images,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +d5d7e89e6210fcbaa52dc277c1e307632cd91dab,DOTA: A Large-scale Dataset for Object Detection in Aerial Images,China,China,China,35.86166000,104.19539700,edu, d5d7e89e6210fcbaa52dc277c1e307632cd91dab,DOTA: A Large-scale Dataset for Object Detection in Aerial Images,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +d5d7e89e6210fcbaa52dc277c1e307632cd91dab,DOTA: A Large-scale Dataset for Object Detection in Aerial Images,"German Aerospace Center (DLR), Germany","German Aerospace Center (DLR), Germany","Linder Höhe, 51147 Köln, Germany",50.85502400,7.11949760,edu, +d5cdcaa19a62e3cb97da013555b99fe35e724e38,Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, d5d472266aae563010e12ae90fe5fe6f3c484cba,Demystifying MMD GANs,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, d5d472266aae563010e12ae90fe5fe6f3c484cba,Demystifying MMD GANs,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, d5795049ff374404231e4d0aaa7725c2afcc73c3,Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, d517b13f2b152c913b81ce534a149493517dbdad,Big Data Deep Learning: Challenges and Perspectives,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, d517b13f2b152c913b81ce534a149493517dbdad,Big Data Deep Learning: Challenges and Perspectives,Oakland University,Oakland University,"Oakland University, 201, Meadow Brook Road, Rochester Hills, Oakland County, Michigan, 48309-4401, USA",42.66663325,-83.20655752,edu, f2c30594d917ea915028668bc2a481371a72a14d,Scene Understanding Using Internet Photo Collections,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, -f2653257faa6d1b718a4cff004f4c7ad66d89c55,Advances in deep learning approaches for image tagging,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +f2653257faa6d1b718a4cff004f4c7ad66d89c55,Advances in deep learning approaches for image tagging,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, f24e379e942e134d41c4acec444ecf02b9d0d3a9,Analysis of Facial Images across Age Progression by Humans,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, f24e379e942e134d41c4acec444ecf02b9d0d3a9,Analysis of Facial Images across Age Progression by Humans,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, f24e379e942e134d41c4acec444ecf02b9d0d3a9,Analysis of Facial Images across Age Progression by Humans,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, @@ -2022,18 +2482,23 @@ f27b8b8f2059248f77258cf8595e9434cf0b0228,Deep Alignment Network: A Convolutional f22d6d59e413ee255e5e0f2104f1e03be1a6722e,Lattice Long Short-Term Memory for Human Action Recognition,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, f22d6d59e413ee255e5e0f2104f1e03be1a6722e,Lattice Long Short-Term Memory for Human Action Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, f22d6d59e413ee255e5e0f2104f1e03be1a6722e,Lattice Long Short-Term Memory for Human Action Recognition,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, +f202c78e58d33a65c19183414ad0ee91be440d61,Investigating the Influence of Biological Sex on the Behavioral and Neural Basis of Face Recognition,Pennsylvania State University,Pennsylvania State University,,,,edu, +f202c78e58d33a65c19183414ad0ee91be440d61,Investigating the Influence of Biological Sex on the Behavioral and Neural Basis of Face Recognition,Pennsylvania State University,Pennsylvania State University,,,,edu, f27bdc4f7ec2006425f999055df071d64640836e,Preserved Crossmodal Integration of Emotional Signals in Binge Drinking,Universitat de València,Universitat de València,"Campus dels Tarongers, Plaza de Manuel Broseta i Pont, Ciutat Jardí, Algirós, València, Comarca de València, València / Valencia, Comunitat Valenciana, 46022, España",39.47787665,-0.34257711,edu, f2d07a77711a8d74bbfa48a0436dae18a698b05a,Composite Statistical Learning and Inference for Semantic Segmentation,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, f2d07a77711a8d74bbfa48a0436dae18a698b05a,Composite Statistical Learning and Inference for Semantic Segmentation,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu, f2d07a77711a8d74bbfa48a0436dae18a698b05a,Composite Statistical Learning and Inference for Semantic Segmentation,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, f2d07a77711a8d74bbfa48a0436dae18a698b05a,Composite Statistical Learning and Inference for Semantic Segmentation,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, +f26b3a916aaa50fe6ef554fff744559815ccf954,Serotonin transporter genotype impacts amygdala habituation in youth with autism spectrum disorders.,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, f26b3a916aaa50fe6ef554fff744559815ccf954,Serotonin transporter genotype impacts amygdala habituation in youth with autism spectrum disorders.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, f26b3a916aaa50fe6ef554fff744559815ccf954,Serotonin transporter genotype impacts amygdala habituation in youth with autism spectrum disorders.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +f26b3a916aaa50fe6ef554fff744559815ccf954,Serotonin transporter genotype impacts amygdala habituation in youth with autism spectrum disorders.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, f2da70f632db70eb42cf5bc5e2428f4bc53909ad,Association of Genetic Variation in the Promoter Region of OXTR with Differences in Social Affective Neural Processing,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, f2da70f632db70eb42cf5bc5e2428f4bc53909ad,Association of Genetic Variation in the Promoter Region of OXTR with Differences in Social Affective Neural Processing,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, f2da70f632db70eb42cf5bc5e2428f4bc53909ad,Association of Genetic Variation in the Promoter Region of OXTR with Differences in Social Affective Neural Processing,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, f2843da00dc202eb8748b1b690f7b5dd0849af20,Regularized Bayesian Metric Learning for Person Re-identification,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu, f2843da00dc202eb8748b1b690f7b5dd0849af20,Regularized Bayesian Metric Learning for Person Re-identification,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +f2843da00dc202eb8748b1b690f7b5dd0849af20,Regularized Bayesian Metric Learning for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, f2ad9b43bac8c2bae9dea694f6a4e44c760e63da,A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, f2ad9b43bac8c2bae9dea694f6a4e44c760e63da,A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces,North Dakota State University,North Dakota State University,"North Dakota State University, 15th Avenue North, Fargo, Cass County, North Dakota, 58102, USA",46.89715500,-96.81827603,edu, f2b5177d7c4f568295f6c2b9e02078e36d9ed286,Challenges on Large Scale Surveillance Video Analysis,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, @@ -2043,6 +2508,8 @@ f2b5177d7c4f568295f6c2b9e02078e36d9ed286,Challenges on Large Scale Surveillance f257300b2b4141aab73f93c146bf94846aef5fa1,Eigen Evolution Pooling for Human Action Recognition,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, f2977284cc3c6653df957d886101cc485de1a9f9,Learning robust objective functions with application to face model fitting,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, f2977284cc3c6653df957d886101cc485de1a9f9,Learning robust objective functions with application to face model fitting,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, +f22a7a7a8cdd323270d1f8173c0289d61981dc73,Face Recognition System Using Wavelet Normalization,India,India,India,20.59368400,78.96288000,edu, +f22a7a7a8cdd323270d1f8173c0289d61981dc73,Face Recognition System Using Wavelet Normalization,India,India,India,20.59368400,78.96288000,edu, f22b157fb9f9963b21a82860cb47585556bd79d5,3 D GLOH Features for Human Action Recognition,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, f22b157fb9f9963b21a82860cb47585556bd79d5,3 D GLOH Features for Human Action Recognition,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, f22b157fb9f9963b21a82860cb47585556bd79d5,3 D GLOH Features for Human Action Recognition,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, @@ -2062,12 +2529,14 @@ f2e9616577a0eb866e78e6fd68c67809e4fce11c,Digital innovations in L 2 motivation : f254cbfe9710de5e41589f8b7898112b06872ed2,DenseNet : Implementing Efficient ConvNet Descriptor Pyramids Technical Report,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, f2cbdd5f24c2d6a4f33734636cc220f0825042f0,Dual-Glance Model for Deciphering Social Relationships,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, f2cbdd5f24c2d6a4f33734636cc220f0825042f0,Dual-Glance Model for Deciphering Social Relationships,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, +f2cbdd5f24c2d6a4f33734636cc220f0825042f0,Dual-Glance Model for Deciphering Social Relationships,"Minneapolis, USA","Minneapolis, USA","Minneapolis, MN, USA",44.97775300,-93.26501080,edu, f22a8c28a6de723e5451ce577a3ef8dfb26f5e2a,A CNN-Based Method of Vehicle Detection from Aerial Images Using Hard Example Mining,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, f2eb8b38e5366dd98350af304c678c42d858017c,Support Neighbor Loss for Person Re-Identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, f2eb8b38e5366dd98350af304c678c42d858017c,Support Neighbor Loss for Person Re-Identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, f23114073e0e513b1c1c55e8777bda503721718c,Dissimilarity Coefficient based Weakly Supervised Object Detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, c3a79349476d81cc6b7b304fd4c5cd7b5f65efb9,PQk-means: Billion-scale Clustering for Product-quantized Codes,"National Institute of Informatics, Japan","National Institute of Informatics, Japan","2 Chome-1-2 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan",35.69248530,139.75825330,edu, c320243eed20d89a9bfe7334e2adf1e6a16322b2,COUPLING RISK ATTITUDE AND MOTION DATA MINING IN A PREEMTIVE CONSTRUCTION SAFETY FRAMEWORK,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, +c32383330df27625592134edd72d69bb6b5cff5c,Intrinsic Illumination Subspace for Lighting Insensitive Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, c37c3853ab428725f13906bb0ff4936ffe15d6af,Unsupervised Person Re-identification by Deep Learning Tracklet Association,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, c37c3853ab428725f13906bb0ff4936ffe15d6af,Unsupervised Person Re-identification by Deep Learning Tracklet Association,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, c32e20258189aacb38b11f854fe4869ba239605c,Image Patch Matching Using Convolutional Descriptors with Euclidean Distance,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, @@ -2100,7 +2569,7 @@ c3558f67b3f4b618e6b53ce844faf38240ee7cd7,Collaboratively Weighting Deep and Clas c3558f67b3f4b618e6b53ce844faf38240ee7cd7,Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, c3558f67b3f4b618e6b53ce844faf38240ee7cd7,Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, c34787b4708b34742774ba3abba8ace39c6b9052,Input Image : Smile Intensity Generated Responses : Input Question : Input,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, -c34787b4708b34742774ba3abba8ace39c6b9052,Input Image : Smile Intensity Generated Responses : Input Question : Input,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +c34787b4708b34742774ba3abba8ace39c6b9052,Input Image : Smile Intensity Generated Responses : Input Question : Input,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, c37b5c43b58f2810bba78fcf2251d5b631428b48,Grounding affect recognition on a low-level description of body posture,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, c37b5c43b58f2810bba78fcf2251d5b631428b48,Grounding affect recognition on a low-level description of body posture,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, c3e1ab13bb3c64ed129e286cec17465fc6bff0e1,Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -2112,6 +2581,9 @@ c3e1ab13bb3c64ed129e286cec17465fc6bff0e1,Neural Networks for Efficient Bayesian c3e1ab13bb3c64ed129e286cec17465fc6bff0e1,Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, c394a5dfe5bea5fbab4c2b6b90d2d03e01fb29c0,Person Reidentification and Recognition in Video,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, c30982d6d9bbe470a760c168002ed9d66e1718a2,Multi-camera head pose estimation using an ensemble of exemplars,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, +c3d60c8b1dff411982ccd8875496f1e74d2cefc4,Multi-view X-ray R-CNN,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +c3341286ece958e6b05df56d788456b61313380b,Estimating Attention of Faces due to its Growing Level of Emotions,India,India,India,20.59368400,78.96288000,edu, +c3341286ece958e6b05df56d788456b61313380b,Estimating Attention of Faces due to its Growing Level of Emotions,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, c34532fe6bfbd1e6df477c9ffdbb043b77e7804d,A 3D Morphable Eye Region Model for Gaze Estimation,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, c34532fe6bfbd1e6df477c9ffdbb043b77e7804d,A 3D Morphable Eye Region Model for Gaze Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, c34532fe6bfbd1e6df477c9ffdbb043b77e7804d,A 3D Morphable Eye Region Model for Gaze Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, @@ -2122,26 +2594,37 @@ c39ef5554b9964f578572d403522380e95802650,Generative mixture of networks,Universi c39ef5554b9964f578572d403522380e95802650,Generative mixture of networks,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, c3f5cf5594e66dbbeb1af72ddfe7d5e24a4f56c0,Learning-Based Run-Time Power and Energy Management of Multi/Many-Core Systems: Current and Future Trends,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, c3f5cf5594e66dbbeb1af72ddfe7d5e24a4f56c0,Learning-Based Run-Time Power and Energy Management of Multi/Many-Core Systems: Current and Future Trends,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +c3bcc4ee9e81ce9c5c0845f34e9992872a8defc0,A New Scheme for Image Recognition Using Higher-Order Local Autocorrelation and Factor Analysis,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, c3cdf580a667a7b91191bbe149cd27b2054cbc43,R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, c3cdf580a667a7b91191bbe149cd27b2054cbc43,R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, c3cdf580a667a7b91191bbe149cd27b2054cbc43,R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee,Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, c146aa6d56233ce700032f1cb179700778557601,3D Morphable Models as Spatial Transformer Networks,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, c146aa6d56233ce700032f1cb179700778557601,3D Morphable Models as Spatial Transformer Networks,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, c1f07ec629be1c6fe562af0e34b04c54e238dcd1,A Novel Facial Feature Localization Method Using Probabilistic-like Output *,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, +c175381a6b84ebd0a920ff44ccdccabd98bdfb94,Paper on Retrieval Magnets for Facial Duplication by Search Based Face Annotation,India,India,India,20.59368400,78.96288000,edu, +c175381a6b84ebd0a920ff44ccdccabd98bdfb94,Paper on Retrieval Magnets for Facial Duplication by Search Based Face Annotation,India,India,India,20.59368400,78.96288000,edu, c180f22a9af4a2f47a917fd8f15121412f2d0901,Facial Expression Recognition by ICA with Selective Prior,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu, c19b5cce6c542380ba3bd05fb128918499428914,PCN: Part and Context Information for Pedestrian Detection with CNNs,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, c1980e5d5c998ddec31cda9da148c354406a5eca,Jointly Optimizing 3D Model Fitting and Fine-Grained Classification,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, c1980e5d5c998ddec31cda9da148c354406a5eca,Jointly Optimizing 3D Model Fitting and Fine-Grained Classification,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, +c16bae6b2e578df2cba8e436e02bdeda281c2743,Tensor Discriminant Color Space for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, c16479cfa79fe9996ca16fc30add9099815abb04,Robust Face Recognition after Plastic Surgery Using Local Region Analysis,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, c17a332e59f03b77921942d487b4b102b1ee73b6,Learning an appearance-based gaze estimator from one million synthesised images,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, c17a332e59f03b77921942d487b4b102b1ee73b6,Learning an appearance-based gaze estimator from one million synthesised images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, c17a332e59f03b77921942d487b4b102b1ee73b6,Learning an appearance-based gaze estimator from one million synthesised images,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, c10b0a6ba98aa95d740a0d60e150ffd77c7895ad,Deep fisher faces,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, +c11c89e303a6b46de324efa01a0f749b4246c516,A Novel Approach to Design a Customized Image Editor and Real-Time Control of Hand-Gesture Mimicking Robotic Movements on an IRobot Create,India,India,India,20.59368400,78.96288000,edu, +c11c89e303a6b46de324efa01a0f749b4246c516,A Novel Approach to Design a Customized Image Editor and Real-Time Control of Hand-Gesture Mimicking Robotic Movements on an IRobot Create,India,India,India,20.59368400,78.96288000,edu, c11c89e303a6b46de324efa01a0f749b4246c516,A Novel Approach to Design a Customized Image Editor and Real-Time Control of Hand-Gesture Mimicking Robotic Movements on an IRobot Create,Oklahoma State University,Oklahoma State University,"Walmart East Bus Stop, East Virginia Avenue, Stillwater, Payne County, Oklahoma, 74075, USA",36.12447560,-97.05004383,edu, c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,China,China,China,35.86166000,104.19539700,edu, c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,Institute of Industrial Science,Institute of Industrial Science,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, -c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, +c17ed26650a67e80151f5312fa15b5c423acc797,Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +c18a227461e6b3d38fa4515e287432fad8213838,The Visual Object Tracking VOT2016 Challenge Results,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, +c18a227461e6b3d38fa4515e287432fad8213838,The Visual Object Tracking VOT2016 Challenge Results,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, c18a227461e6b3d38fa4515e287432fad8213838,The Visual Object Tracking VOT2016 Challenge Results,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, c18a227461e6b3d38fa4515e287432fad8213838,The Visual Object Tracking VOT2016 Challenge Results,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu, c18a227461e6b3d38fa4515e287432fad8213838,The Visual Object Tracking VOT2016 Challenge Results,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, @@ -2152,6 +2635,7 @@ c1d1b1197667facd360196059796ab8cb7b46e96,PolyMapper: Extracting City Maps using c1d1b1197667facd360196059796ab8cb7b46e96,PolyMapper: Extracting City Maps using Polygons,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, c1d1b1197667facd360196059796ab8cb7b46e96,PolyMapper: Extracting City Maps using Polygons,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, c13291eaf9ca1b91ef3feb9d58a9a894130631e3,Relation Networks for Object Detection,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +c1aa52ad21d0ec20102eb5402c60ac91c49612bb,Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection,China,China,China,35.86166000,104.19539700,edu, c1aa52ad21d0ec20102eb5402c60ac91c49612bb,Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, c127ac138a22c155a79f362562a52c070e2b4022,Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, c127ac138a22c155a79f362562a52c070e2b4022,Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, @@ -2160,6 +2644,7 @@ c127ac138a22c155a79f362562a52c070e2b4022,Describing Natural Images Containing No c1ee2e1d53f9ffc9fca5e3e8da7c89dc2a2133d9,A Multifaceted Independent Performance Analysis of Facial Subspace Recognition Algorithms,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, c1ee2e1d53f9ffc9fca5e3e8da7c89dc2a2133d9,A Multifaceted Independent Performance Analysis of Facial Subspace Recognition Algorithms,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, c1cf5dda56c72b65e86f3a678f76644f22212748,FACE HALLUCINATION VIA SEMI-KERNEL PARTIAL LEAST SQUARES,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +c1cf5dda56c72b65e86f3a678f76644f22212748,FACE HALLUCINATION VIA SEMI-KERNEL PARTIAL LEAST SQUARES,China,China,China,35.86166000,104.19539700,edu, c1b71c339e4a4f88e0eb90342f10c7ed3fb8f5da,Shaped Wavelets for Curvilinear Structures for Ear Biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, c1a18684feeb2b966e2f03c2622f9a702e14204c,Eye Detection using Wavelets and ANN,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, c1a18684feeb2b966e2f03c2622f9a702e14204c,Eye Detection using Wavelets and ANN,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, @@ -2172,6 +2657,7 @@ c1298120e9ab0d3764512cbd38b47cd3ff69327b,Disguised Faces in the Wild,Indian Inst c1298120e9ab0d3764512cbd38b47cd3ff69327b,Disguised Faces in the Wild,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for face detection,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 1e0dd12f2bff234a4df71641bc95068733506858,Handwritten Word Spotting with Corrected Attributes,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +1ecf4055831ca23c9f6026ef866dac95c8b8f9de,Eye Gaze Tracking With a Web Camera in a Desktop Environment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1efc28925ec65879652ad9d5f8be53037bb2f306,Long-Term On-board Prediction of People in Traffic Scenes Under Uncertainty,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 1e0fc2e5537db53080ec9a875df614dd8018c873,Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting,Hiroshima University,Hiroshima University,"Hiroshima University 広島大学 東広島キャンパス, 出会いの道 Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu, 1ed39db202e606f25aff93f3e4fe135283a50cc2,Video text detection and recognition: Dataset and benchmark,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, @@ -2185,6 +2671,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 1ed5d99fe46c0b5083f97e65841cd8535a9451c1,Dating historical color images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1ed5d99fe46c0b5083f97e65841cd8535a9451c1,Dating historical color images,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 1ed5d99fe46c0b5083f97e65841cd8535a9451c1,Dating historical color images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +1e83e2abcb258cd62b160e3f31a490a6bc042e83,Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1e1d7cbbef67e9e042a3a0a9a1bcefcc4a9adacf,A Multi-level Contextual Model for Person Recognition in Photo Albums,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, 1e516273554d87bbe1902fa0298179c493299035,Age Classification in Unconstrained Conditions Using LBP Variants,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 1e95a366f9212654f79027894dbedf1ef44ca4c3,From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, @@ -2197,6 +2684,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 1e8ead5045c4b4de598c4eb570bfd9da14970129,A General Two-Step Approach to Learning-Based Hashing,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 1ed5c62eec52380c285daf2ffa7576d96e4ac150,Modeling Image Virality with Pairwise Spatial Transformer Networks,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 1e254f77ccbf3bd796ac3f60001384f59eba4ec2,Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +1e254f77ccbf3bd796ac3f60001384f59eba4ec2,Human Context: Modeling Human-Human Interactions for Monocular 3D Pose Estimation,"Disney Research, Pittsburgh, USA","Disney Research, Pittsburgh, USA","4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,company, 1e1ab3d08fd71ab7368464d9adf78be1170fa728,Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, 1ef5ce743a44d8a454dbfc2657e1e2e2d025e366,Accurate Corner Detection Methods using Two Step Approach,Thapar University,Thapar University,"Thapar University, Hostel Road, Patiala, Punjab, 147001, India",30.35566105,76.36581641,edu, 1e7032e91fa01b90896c3cbfe5edf4f35ffd9628,A mixture model for aggregation of multiple pre-trained weak classifiers,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, @@ -2205,9 +2693,11 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 1e58d7e5277288176456c66f6b1433c41ca77415,Bootstrapping Fine-Grained Classifiers : Active Learning with a Crowd in the Loop,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 1e54025a6b399bfc210a52a8c3314e8f570c2204,DenseCap: Fully Convolutional Localization Networks for Dense Captioning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 1ea4e6db88a63d1a635e90242ce81adedaa803e1,Mirror Match: Reliable Feature Point Matching without Geometric Constraints,École Polytechnique Fédérale de Lausanne,"École Polytechnique Fédérale de Lausanne (EPFL), Switzerland","Bibliothèque de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra",46.51841210,6.56846540,edu, +1e7472bcbaa844f82f8d47ec3e28c03ceeb27a9d,Compressed Deep Convolution Neural Network for Face Recognition,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 1e7472bcbaa844f82f8d47ec3e28c03ceeb27a9d,Compressed Deep Convolution Neural Network for Face Recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +1e7472bcbaa844f82f8d47ec3e28c03ceeb27a9d,Compressed Deep Convolution Neural Network for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 1e94cc91c5293c8fc89204d4b881552e5b2ce672,Unsupervised Alignment of Actions in Video with Text Descriptions,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, -1e94cc91c5293c8fc89204d4b881552e5b2ce672,Unsupervised Alignment of Actions in Video with Text Descriptions,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +1e94cc91c5293c8fc89204d4b881552e5b2ce672,Unsupervised Alignment of Actions in Video with Text Descriptions,"Indian Institute of Technology Delhi, New Delhi, India","Indian Institute of Technology Delhi, New Delhi, India","Indian Institute of Technology Delhi, Hauz Khas, New Delhi, Delhi 110016, India",28.54296760,77.19380600,edu, 1e8d0998c69caf6e9495db1d6df562f8b9e90003,Solving the Small Sample Size Problem of LDA,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 1e46d0714398904e557f27022908121fa8a7902f,Baseline Evaluations on the CAS-PEAL-R1 Face Database,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 1e6d1e811da743df02481bca1a7bdaa73b809913,Multimodal person recognition for human-vehicle interaction,Sabanci University,Sabanci University,"Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepeören, Tuzla, İstanbul, Marmara Bölgesi, 34953, Türkiye",40.89271590,29.37863323,edu, @@ -2221,17 +2711,22 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 1eb596303ce1f90e8070090be02c768e91fd75ed,Using viseme recognition to improve a sign language translation system,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 1e0a5ce5204f3f7503c39df6d200627cc331efe2,Automatic Arabic Image Captioning using RNN-LSTM-Based Language Model and CNN,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, 1ecd20f7fc34344e396825d27bc5a9871ab0d0c2,SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +1e93ec0f5c29069beedbe7d617f5167b82b70730,Filtering SVM frame-by-frame binary classification in a detection framework,University of Genoa,"University of Genoa, Italy","Via Balbi, 5, 16126 Genova GE, Italy",44.41490290,8.92674300,edu, 1e7995220c6f17dc649b0caeab34c617248aa167,Adversarial Geometry-Aware Human Motion Prediction,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1e5ca4183929929a4e6f09b1e1d54823b8217b8e,Classification in the Presence of Heavy Label Noise : A Markov Chain Sampling Framework,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 1e9758d282568763b209252bc3aeb7b47d269881,Learning Ordered Representations with Nested Dropout,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 1e9758d282568763b209252bc3aeb7b47d269881,Learning Ordered Representations with Nested Dropout,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 1e9758d282568763b209252bc3aeb7b47d269881,Learning Ordered Representations with Nested Dropout,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 1e99c95ea015a0639448fdf60f9694fed5464500,Interactive Object Counting,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +1e99c95ea015a0639448fdf60f9694fed5464500,Interactive Object Counting,Russia,Russia,Russia,61.52401000,105.31875600,edu, 1e944bd5a3907546d633691b8c83fec77d880657,Learning Kinematic Models for Articulated Objects,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +1e8eee51fd3bf7a9570d6ee6aa9a09454254689d,Face Search at Scale,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1e07500b00fcd0f65cf30a11f9023f74fe8ce65c,Whole space subclass discriminant analysis for face recognition,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, 1e57ace361b941d9d210e59a9bbac7697b6bcff5,Maximizing all margins: Pushing face recognition with Kernel Plurality,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 1e57ace361b941d9d210e59a9bbac7697b6bcff5,Maximizing all margins: Pushing face recognition with Kernel Plurality,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, +1e9ace30e55c57c14f609fa45a459458ed40dd77,DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild,India,India,India,20.59368400,78.96288000,edu, 1e3df3ca8feab0b36fd293fe689f93bb2aaac591,Multi-task Recurrent Neural Network for Immediacy Prediction,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +1e0ba1a61ed0c6d4a76697de1e185ed5def60fb4,Learning to Parse Video into Stable Spatiotemporal Volumes,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 1ec98785ac91808455b753d4bc00441d8572c416,Curriculum Learning for Facial Expression Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1e9f1bbb751fe538dde9f612f60eb946747defaa,Identity-aware convolutional neural networks for facial expression recognition,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, 1ed953c92ba011c908ff75f45d81fd7523bb3d8c,InSight: recognizing humans without face recognition,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -2241,27 +2736,34 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 1ed6c7e02b4b3ef76f74dd04b2b6050faa6e2177,Face Detection with a 3D Model,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, 1ed6c7e02b4b3ef76f74dd04b2b6050faa6e2177,Face Detection with a 3D Model,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu, 1e3739716e163fce6fded71eda078a18334aa83b,The HFB Face Database for Heterogeneous Face Biometrics research,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +1e3739716e163fce6fded71eda078a18334aa83b,The HFB Face Database for Heterogeneous Face Biometrics research,China,China,China,35.86166000,104.19539700,edu, 1eab461a69ea758bf433342a35c6035876d45f3a,Learning to Rank Based on Subsequences,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 1eab461a69ea758bf433342a35c6035876d45f3a,Learning to Rank Based on Subsequences,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 1eb249b515f7c09ae2663c1b5c49243906aabf22,Learning Structured Semantic Embeddings for Visual Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 1eafc8e7316d7257955ef09f903d318d55fac1fc,Ensemble of furthest subspace pairs for enhanced image set matching,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA 1eafc8e7316d7257955ef09f903d318d55fac1fc,Ensemble of furthest subspace pairs for enhanced image set matching,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 1e056b9018567042046a24163221cc59275f1dca,Towards Open World Recognition,University of Colorado at Colorado Springs,University of Colorado at Colorado Springs,"1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA",38.89646790,-104.80505940,edu, +1e284c51e005099b482eba9590427e29038d75c6,Pose Invariant Recognition using SIFT Based Feature Extraction and MRF,India,India,India,20.59368400,78.96288000,edu, 1ef4815f41fa3a9217a8a8af12cc385f6ed137e1,Rendering of Eyes for Eye-Shape Registration and Gaze Estimation,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 1ef4815f41fa3a9217a8a8af12cc385f6ed137e1,Rendering of Eyes for Eye-Shape Registration and Gaze Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 1ed99a11c20afc2e6e2f3585f575bf936898dcb3,Reasoning and algorithm selection augmented symbolic segmentation,Nazarbayev University,Nazarbayev University,"Назарбаев Университет, проспект Туран, BI village, Астана, район Есиль, Астана, 010000, Казахстан",51.09028540,71.39725263,edu, 1ef368e79d1a33d700905221696e552745e1ec7f,On Crater Verification Using Mislocalized Crater Regions,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, 1e4822f64f105a3f27888cc463e7e49e95c1e0f0,SRTTU Facial Expression Recognition Based on Anatomical Structure of Human Face,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, 1e6278eb2716048165969d294e110e5a8df71e0b,Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, -1ee896784275d0517963815b7c7ae1c788940409,A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +1ee896784275d0517963815b7c7ae1c788940409,A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 1ee896784275d0517963815b7c7ae1c788940409,A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 1e3a9b0cfdeca614c5689a3419016c89bf9fbdfa,Facial color is an efficient mechanism to visually transmit emotion,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, 1e3a9b0cfdeca614c5689a3419016c89bf9fbdfa,Facial color is an efficient mechanism to visually transmit emotion,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +1e8711d2fc4b05eac0699c82f4698154c2b057d3,The unreasonable effectiveness of small neural ensembles in high-dimensional brain,Russia,Russia,Russia,61.52401000,105.31875600,edu, +1e8711d2fc4b05eac0699c82f4698154c2b057d3,The unreasonable effectiveness of small neural ensembles in high-dimensional brain,Russia,Russia,Russia,61.52401000,105.31875600,edu, 1e394f669c4f63c593677d2850c3d022a6fc1ac8,Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, 1e43d706d38cbacac563de9d0659230de00d73f2,Paragon: QoS-aware scheduling for heterogeneous datacenters,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 1e8c87181ac8db93431a0c7470c71561e1ee565f,Convolutional Neural Networks for Aerial Vehicle Detection and Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, 1e8c87181ac8db93431a0c7470c71561e1ee565f,Convolutional Neural Networks for Aerial Vehicle Detection and Recognition,University of Liverpool,University of Liverpool,"Victoria Building, Brownlow Hill, Knowledge Quarter, Liverpool, North West England, England, L3, UK",53.40617900,-2.96670819,edu, +1e21078efc0aa7a3881d0e87cb5dd5918523f525,Network Consistent Data Association,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1e41a3fdaac9f306c0ef0a978ae050d884d77d2a,Robust Object Recognition with Cortex-Like Mechanisms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 096bd380a2f653dc5e43069b97e1505186c47d5b,Min Norm Point Algorithm for Higher Order MRF-MAP Inference,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, +096bd380a2f653dc5e43069b97e1505186c47d5b,Min Norm Point Algorithm for Higher Order MRF-MAP Inference,India,India,India,20.59368400,78.96288000,edu, 09232b786e009655c5e03d2b3fcd7b40d75382bf,The Representation of Emotion in Autonomic and Central Nervous System Activity,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 093da3310d98b3c09e2770c2a6aa49eeca58cebe,Trimmed Event Recognition : submission to ActivityNet Challenge 2018,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 09fa54f1ab7aaa83124d2415bfc6eb51e4b1f081,Where to Buy It: Matching Street Clothing Photos in Online Shops,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, @@ -2271,13 +2773,14 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 09dd01e19b247a33162d71f07491781bdf4bfd00,Efficiently scaling up video annotation with crowdsourced marketplaces,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, 0914eb61b743300828c84f9e235ce6165a171be5,Analyzing the Behavior of Visual Question Answering Models,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 0969e0dc05fca21ff572ada75cb4b703c8212e80,Semi-Supervised Classification Based on Low Rank Representation,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu, -09669da2fe4764196eb0e2eff240291d54607882,Deep Disentangled Representations for Volumetric Reconstruction,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +09669da2fe4764196eb0e2eff240291d54607882,Deep Disentangled Representations for Volumetric Reconstruction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 09d03b792923695deb0492d8fc3582a50e5f1a1e,Band-Sifting Decomposition for Image-Based Material Editing,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 0903b956a68073eee3760572059abd5b24b026da,Probabilistic Label Trees for Efficient Large Scale Image Classification,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 09ec2d5cba5b15894b1fea71489c5204a338fd95,Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 09a106feed520651d785fd8a2df26910f5928f2e,"Think Leader, Think White? Capturing and Weakening an Implicit Pro-White Leadership Bias",University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 09a8ae8fc95bd3c9fb8022da2c32c519d5fc06bc,A Multiple Kernel Learning Approach to Joint Multi-class Object Detection,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu, 09ce14b84af2dc2f76ae1cf227356fa0ba337d07,Face reconstruction in the wild,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +09ce14b84af2dc2f76ae1cf227356fa0ba337d07,Face reconstruction in the wild,University of Washington and Google Inc.,University of Washington and Google Inc.,"University of Washington Tower Building T, 4333 Brooklyn Ave NE, Seattle, WA 98105, USA",47.66074610,-122.31458380,edu, 09e880c99fc1f38b1d2378a39adc1730a9178ef2,Video Inpainting by Jointly Learning Temporal Structure and Spatial Details,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 095be7eaf5429ab08d02a9e05f52f5bb81bcd838,Flow of Information in Feed-Forward Deep Neural Networks,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu, 098fa9b4c3f7fb41c7a178d36f5dbb50a3ffa377,Dense Optical Flow Prediction from a Static Image,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, @@ -2287,6 +2790,9 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 09c5fe448694eea3cf3166ccccb2c81048fe0601,Clustered Exemplar-SVM: Discovering sub-categories for visual recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 09ae02eb0359363134a7a5ca912ea60769b07031,A Smoother Way to Train Structured Prediction Models,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 09ae02eb0359363134a7a5ca912ea60769b07031,A Smoother Way to Train Structured Prediction Models,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +0953df0cb7a40a29100eb3089863451ee8e6db47,Chapter 10 PERCEPTUAL INTERFACES,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0967341790643f680f3fc9dc87bfe311723be4e4,A Perception-Driven Transcale Display Scheme for Space Image Sequences,China,China,China,35.86166000,104.19539700,edu, +0967341790643f680f3fc9dc87bfe311723be4e4,A Perception-Driven Transcale Display Scheme for Space Image Sequences,China,China,China,35.86166000,104.19539700,edu, 09e1072c509e1d24a34dfbbaba1c3700e1eb1338,Visualization of Time-Series Data in Parameter Space for Understanding Facial Dynamics,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, 09e1072c509e1d24a34dfbbaba1c3700e1eb1338,Visualization of Time-Series Data in Parameter Space for Understanding Facial Dynamics,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu, 0925a25e42e3ae6bfd2fd3add93e5a1eafa091a6,Dynamic Label Graph Matching for Unsupervised Video Re-identification,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, @@ -2295,12 +2801,15 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 090ff8f992dc71a1125636c1adffc0634155b450,Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 090ff8f992dc71a1125636c1adffc0634155b450,Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 090ff8f992dc71a1125636c1adffc0634155b450,Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +09718bf335b926907ded5cb4c94784fd20e5ccd8,"Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 09733129161ca7d65cf56a7ad63c17f493386027,Face Recognition under Varying Illumination,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu, 09733129161ca7d65cf56a7ad63c17f493386027,Face Recognition under Varying Illumination,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 09733129161ca7d65cf56a7ad63c17f493386027,Face Recognition under Varying Illumination,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu, 097d3892f5f2ba7be43a81908279f42a618839ec,Dynamic context driven human detection and tracking in meeting scenarios.,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +09fc69a06f4c709846719a06a00a8bce533928d7,Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction,China,China,China,35.86166000,104.19539700,edu, 09fc69a06f4c709846719a06a00a8bce533928d7,Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 09628e9116e7890bc65ebeabaaa5f607c9847bae,Semantically Consistent Regularization for Zero-Shot Recognition,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +0969aa7d4557699b7460e4159658828efafed8bd,Con-Text: Text Detection for Fine-Grained Object Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 09b80d8eea809529b08a8b0ff3417950c048d474,Adding Unlabeled Samples to Categories by Learned Attributes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 09b80d8eea809529b08a8b0ff3417950c048d474,Adding Unlabeled Samples to Categories by Learned Attributes,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 09750ce4a8fa0a0fc596bdda8bf58db74fa9a0e1,Synthesizing Training Images for Boosting Human 3D Pose Estimation,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, @@ -2319,11 +2828,13 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 09b43b59879d59493df2a93c216746f2cf50f4ac,Deep Transfer Metric Learning,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 0947c7c46943ebbb6a4b5c795c9b54552c8e0b5a,"QMAS: Querying, Mining and Summarization of Multi-modal Databases",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0947c7c46943ebbb6a4b5c795c9b54552c8e0b5a,"QMAS: Querying, Mining and Summarization of Multi-modal Databases",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, -0947c7c46943ebbb6a4b5c795c9b54552c8e0b5a,"QMAS: Querying, Mining and Summarization of Multi-modal Databases",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +0947c7c46943ebbb6a4b5c795c9b54552c8e0b5a,"QMAS: Querying, Mining and Summarization of Multi-modal Databases",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 09edba9db405dde61630c70bba00ae9c5dd7ed37,Learning From Disagreements : Discriminative Performance Evaluation,Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu, 090e4713bcccff52dcd0c01169591affd2af7e76,What Do You Do? Occupation Recognition in a Photo via Social Context,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 090e4713bcccff52dcd0c01169591affd2af7e76,What Do You Do? Occupation Recognition in a Photo via Social Context,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 096e389c28cdd15b8765baa29ae55d98f8c3c4b4,Passive Profiling and Natural Interaction Metaphors for Personalized Multimedia Museum Experiences,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +09d453d4949b9d2b0dad1d5288e02ca9ec7da450,A Method for Predicting Vehicles Motion Based on Road Scene Reconstruction and Neural Networks in Real Time,Russia,Russia,Russia,61.52401000,105.31875600,edu, +09c4732280c3b2586e390d818ef0056a8de73e2c,A New Method of Histogram Computation for Efficient Implementation of the HOG Algorithm,Romania,Romania,Romania,45.94316100,24.96676000,edu, 096a97299c9114316770205f9697653d000a58a6,Bayesian Modeling of Intersectional Fairness: The Variance of Bias,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 09fd76c02abdd1bca7b98ab9fa66450cec33b9dc,User qualified ? N Feedback Pass ? Pass ? Annotator training Annotating images,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 099ce5cb6f42bff5ad117852d62c5a07e6407b8a,Spectral Methods for Multi-Scale Feature Extraction and Data Clustering,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, @@ -2343,16 +2854,21 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 09f58353e48780c707cf24a0074e4d353da18934,Unconstrained face recognition: Establishing baseline human performance via crowdsourcing,"Noblis, Falls Church, VA, U.S.A.","Noblis, Falls Church, VA, U.S.A.","2002 Edmund Halley Dr, Reston, VA 20191, USA",38.95187000,-77.36325900,company, 09348656bbbe88881d1257650a170af5e22f1008,Parsing clothing in fashion photographs,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 09cf3f1764ab1029f3a7d57b70ae5d5954486d69,Comparison of ICA approaches for facial expression recognition,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +09cf3f1764ab1029f3a7d57b70ae5d5954486d69,Comparison of ICA approaches for facial expression recognition,Romania,Romania,Romania,45.94316100,24.96676000,edu, 09b5b34d06fff4c76866d92516108ac68ac25ccf,Using Regression Techniques for Coping with the One-Sample-Size Problem of Face Recognition,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 17f29dba3809527c3b9533247045a488417ec21c,Removal of 3D facial expressions: A learning-based approach,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 17d5e5c9a9ee4cf85dfbb9d9322968a6329c3735,Study on Parameter Selection Using SampleBoost,University of North Texas,University of North Texas,"University of North Texas, West Highland Street, Denton, Denton County, Texas, 76201, USA",33.20988790,-97.15147488,edu, 177bc509dd0c7b8d388bb47403f28d6228c14b5c,"Deep Learning Face Representation from Predicting 10,000 Classes",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 177bc509dd0c7b8d388bb47403f28d6228c14b5c,"Deep Learning Face Representation from Predicting 10,000 Classes",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 177bc509dd0c7b8d388bb47403f28d6228c14b5c,"Deep Learning Face Representation from Predicting 10,000 Classes",Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +1740a0732e8e308f5dd395313313cc3289666f13,Preference-Aware View Recommendation System for Cameras Based on Bag of Aesthetics-Preserving Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1740a0732e8e308f5dd395313313cc3289666f13,Preference-Aware View Recommendation System for Cameras Based on Bag of Aesthetics-Preserving Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 17cf6195fd2dfa42670dc7ada476e67b381b8f69,Automatic Face Region Tracking for Highly Accurate Face Recognition in Unconstrained Environments,Chung-Ang University,Chung-Ang University,"중앙대학교, 서달로15길, 흑석동, 동작구, 서울특별시, 06981, 대한민국",37.50882000,126.96190000,edu, 17cf6195fd2dfa42670dc7ada476e67b381b8f69,Automatic Face Region Tracking for Highly Accurate Face Recognition in Unconstrained Environments,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, 17c14440430c90699ad47fc0f35608906e6ca804,DOTA: A Large-Scale Dataset for Object Detection in Aerial Images,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +17c14440430c90699ad47fc0f35608906e6ca804,DOTA: A Large-Scale Dataset for Object Detection in Aerial Images,China,China,China,35.86166000,104.19539700,edu, 17c14440430c90699ad47fc0f35608906e6ca804,DOTA: A Large-Scale Dataset for Object Detection in Aerial Images,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +17c14440430c90699ad47fc0f35608906e6ca804,DOTA: A Large-Scale Dataset for Object Detection in Aerial Images,"German Aerospace Center (DLR), Germany","German Aerospace Center (DLR), Germany","Linder Höhe, 51147 Köln, Germany",50.85502400,7.11949760,edu, 17423fe480b109e1d924314c1dddb11b084e8a42,Deep Disguised Faces Recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 17b6eb93b41baeb5e1b0a16ecb0673a72368a34b,Generic Object Recognition,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 1727601f148b937a49df10194edcee4800852a97,Deep Mutual Learning,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, @@ -2363,6 +2879,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 17b46e2dad927836c689d6787ddb3387c6159ece,GeoFaceExplorer: exploring the geo-dependence of facial attributes,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, 17b46e2dad927836c689d6787ddb3387c6159ece,GeoFaceExplorer: exploring the geo-dependence of facial attributes,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, 17255cf67d05f9f46f9bf7add35a950c36ccf920,Improved Speaker Verification through Pro,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +175fcfe655b5601b21fdfb3c61bff49c7a8ca297,Semantic Human Matting,China,China,China,35.86166000,104.19539700,edu, 176bd61cc843d0ed6aa5af83c22e3feb13b89fe1,Investigating Spontaneous Facial Action Recognition through AAM Representations of the Face,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 178199b97983556926c9ac7f06e2d12ec6223803,Learning object categories from Google's image search,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 178b55ded04d351c5a7df2e94a81aa3051d7fd8b,Visual Question Answering with Memory-Augmented Networks,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, @@ -2370,19 +2887,24 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 179ae598004d76c56dcc95c5aab3419ec8996af1,Person independent 3D gaze estimation from remote RGB-D cameras,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 17d7579cd732dfb485ee59bb6b9ca56647c800c2,Image normalization by mutual information,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, 17027a05c1414c9a06a1c5046899abf382a1142d,Articulated motion discovery using pairs of trajectories,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +17ad76ef00d4cb584389682ca6b138a8bdc9a2da,Continuous Multimodal Emotion Recognition Approach for AVEC 2017,India,India,India,20.59368400,78.96288000,edu, 172cd5d213cefd99e93039eaf3d8824b3ba203e4,Learned vs. Hand-Crafted Features for Pedestrian Gender Recognition,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, +17257fc03b611315ae49bd53d229188b889002e6,Hard Negative Mining for Metric Learning Based Zero-Shot Classification,"ONERA - The French Aerospace Lab, Palaiseau, France","ONERA - The French Aerospace Lab, Palaiseau, France","8 Chemin de la Hunière, 91120 Palaiseau, France",48.71467230,2.23270940,edu, 177c1998dc9635bccd60151e29ec50666ff7ce6e,Combining human and machine computing elements for analysis via crowdsourcing,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, 17e7a53456539dac2c9cf8631174c6388f64e24b,Learning to Detect Multiple Photographic Defects,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, 174dee2c320e39dc8486b12e3ff5d2284b4a5744,Combining generative models and Fisher kernels for object recognition,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 17670b60dcfb5cbf8fdae0b266e18cf995f6014c,Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 17670b60dcfb5cbf8fdae0b266e18cf995f6014c,Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 17370f848801871deeed22af152489e39b6e1454,Undersampled face recognition with one-pass dictionary learning,"Academia Sinica, Taiwan","Research Center for Institute of Information Science, Academia Sinica, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu, +17555c227941654bc19d613742e2508f209c6d86,Albumentations: fast and flexible image augmentations,Russia,Russia,Russia,61.52401000,105.31875600,edu, 17555c227941654bc19d613742e2508f209c6d86,Albumentations: fast and flexible image augmentations,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 17d01f34dfe2136b404e8d7f59cebfb467b72b26,Riemannian Similarity Learning,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 17fa1c2a24ba8f731c8b21f1244463bc4b465681,Deep multi-scale video prediction beyond mean square error,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 171585599fcc0cb2c2c190a3ff395c2f5bd331dc,3-D–2-D spatiotemporal registration for sports motion analysis,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 173a38768848cfe57a6b20b5ae019ce613e58781,Knowledge Acquisition for Visual Question Answering via Iterative Querying,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 173a38768848cfe57a6b20b5ae019ce613e58781,Knowledge Acquisition for Visual Question Answering via Iterative Querying,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +17e974f463ae01c518ffb1f77852b59dd8f78b56,Review of Different Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu, +17e974f463ae01c518ffb1f77852b59dd8f78b56,Review of Different Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu, 179f446aa297d6fe5c864b605286b946f85bb4ee,Fusion of static and dynamic body biometrics for gait recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 171d8a39b9e3d21231004f7008397d5056ff23af,"Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion",Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, 171d8a39b9e3d21231004f7008397d5056ff23af,"Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -2401,12 +2923,16 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, 17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,China,China,China,35.86166000,104.19539700,edu, 17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,Hengyang Normal University,Hengyang Normal University,"衡阳师范学院, 黄白路, 雁峰区, 衡阳市 / Hengyang, 湖南省, 中国",26.86611360,112.62092122,edu, +17045163860fc7c38a0f7d575f3e44aaa5fa40d7,Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics,China,China,China,35.86166000,104.19539700,edu, 17f8f5fe7a6730ee8d735d055ccc12231aff4435,A Large-scale Distributed Video Parsing and Evaluation Platform,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 170a5f5da9ac9187f1c88f21a88d35db38b4111a,Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, 170a5f5da9ac9187f1c88f21a88d35db38b4111a,Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction,Oxford University,Oxford University,"University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK",51.75208490,-1.25166460,edu, 17ded725602b4329b1c494bfa41527482bf83a6f,Compact Convolutional Neural Network Cascade for Face Detection,Tomsk Polytechnic University,Tomsk Polytechnic University,"Томский политехнический университет, улица Пирогова, Южная, Кировский район, Томск, городской округ Томск, Томская область, СФО, 634034, РФ",56.46255985,84.95565495,edu, 17ded725602b4329b1c494bfa41527482bf83a6f,Compact Convolutional Neural Network Cascade for Face Detection,Tomsk Polytechnic University,Tomsk Polytechnic University,"Томский политехнический университет, улица Пирогова, Южная, Кировский район, Томск, городской округ Томск, Томская область, СФО, 634034, РФ",56.46255985,84.95565495,edu, +17ded725602b4329b1c494bfa41527482bf83a6f,Compact Convolutional Neural Network Cascade for Face Detection,Russia,Russia,Russia,61.52401000,105.31875600,edu, +17ded725602b4329b1c494bfa41527482bf83a6f,Compact Convolutional Neural Network Cascade for Face Detection,Russia,Russia,Russia,61.52401000,105.31875600,edu, 177d1e7bbea4318d379f46d8d17720ecef3086ac,Learning Multi-channel Deep Feature Representations for Face Recognition,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, 177d1e7bbea4318d379f46d8d17720ecef3086ac,Learning Multi-channel Deep Feature Representations for Face Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 17d4fd92352baf6f0039ec64d43ca572c8252384,MoE-SPNet: A mixture-of-experts scene parsing network,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, @@ -2422,18 +2948,21 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 17a8d1b1b4c23a630b051f35e47663fc04dcf043,Differential Angular Imaging for Material Recognition,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu, 176f26a6a8e04567ea71677b99e9818f8a8819d0,MEG: Multi-Expert Gender Classification from Face Images in a Demographics-Balanced Dataset,Sapienza University of Rome,Sapienza University of Rome,"Piazzale Aldo Moro, 5, 00185 Roma RM, Italy",41.90376260,12.51443840,edu, 176f26a6a8e04567ea71677b99e9818f8a8819d0,MEG: Multi-Expert Gender Classification from Face Images in a Demographics-Balanced Dataset,University of Naples Federico II,University of Naples Federico II,"Corso Umberto I, 40, 80138 Napoli NA, Italy",40.84549200,14.25780580,edu, -17113b0f647ce05b2e50d1d40c856370f94da7de,Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +17113b0f647ce05b2e50d1d40c856370f94da7de,Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 171042ba12818238e3c0994ff08d71f8c28d4134,Learning to Describe E-Commerce Images from Noisy Online Data,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 17f3358d219c05f3cb8d68bdfaf6424567d66984,Adversarial Examples for Generative Models,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 17f3358d219c05f3cb8d68bdfaf6424567d66984,Adversarial Examples for Generative Models,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 17f472a7cb25bf1e76ff29181b1d40585e2ae5c1,Fusing binary templates for multi-biometric cryptosystems,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 173a1110e3f5fe6a5518d7ceb025730b073bad62,Divided Local Binary Pattern ( DLBP ) Features Description Method For Facial Expression Recognition ⋆,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, +1134a6be0f469ff2c8caab266bbdacf482f32179,FACIAL EXPRESSION IDENTIFICATION USING FOUR-BIT CO-OCCURRENCE MATRIXFEATURES AND K-NN CLASSIFIER,India,India,India,20.59368400,78.96288000,edu, 11f515ead5b4a7259668f2620e808fa8ba5ea65c,Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +1117073bba23f66717ca631e7077ad2b42f5c08b,Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 118e87ee5a8e0faa71b6ca5af6ff38f875132464,Pose Invariant Embedding for Deep Person Re-identification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 1167136efcb52cf49e89b90949149312bab19cc3,Multi-camera Pedestrian Tracking using Group Structure,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, 1167136efcb52cf49e89b90949149312bab19cc3,Multi-camera Pedestrian Tracking using Group Structure,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, 11f476a5da2366cfa6e4b4e2654a0833fa7d4fa4,Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 11deee1b9e199d1cc0d07d4c4d9f888447e19845,Pose Induction for Novel Object Categories,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, +11d9bee72759e23f19117fc8cbb60b487e8ac79e,Benchmark Visual Question Answer Models by using Focus Map,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 11b45236b2798091ddab35c572a35f447bb8d717,The Case for Personal Data-Driven Decision Making,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 117aae1dc5b3aee679a690f7dab84e9a23add930,Age and Video Captioning,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 11fa30ccbf62a64f650844b9cc39797e5faa82d5,A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, @@ -2441,7 +2970,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 11cc0774365b0cc0d3fa1313bef3d32c345507b1,Face Recognition Using Active Near-IR Illumination.,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 1190cba0cae3c8bb81bf80d6a0a83ae8c41240bc,Squared Earth Mover ’ s Distance Loss for Training Deep Neural Networks on Ordered-Classes,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 1128a4f57148cec96c0ef4ae3b5a0fbf07efbad9,Action Recognition by Learning Deep Multi-Granular Spatio-Temporal Video Representation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, -1128a4f57148cec96c0ef4ae3b5a0fbf07efbad9,Action Recognition by Learning Deep Multi-Granular Spatio-Temporal Video Representation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +1128a4f57148cec96c0ef4ae3b5a0fbf07efbad9,Action Recognition by Learning Deep Multi-Granular Spatio-Temporal Video Representation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 1128a4f57148cec96c0ef4ae3b5a0fbf07efbad9,Action Recognition by Learning Deep Multi-Granular Spatio-Temporal Video Representation,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 11a47a91471f40af5cf00449954474fd6e9f7694,NIRFaceNet: A Convolutional Neural Network for Near-Infrared Face Identification,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu, 11824658170994e4d4655e8f688bace16a0d3e48,Multi-person Head Segmentation in Low Resolution Crowd Scenes Using Convolutional Encoder-Decoder Framework,Qatar University,Qatar University,"Qatar University, Roindabout 3, Al Tarfa (68), أم صلال, 24685, ‏قطر‎",25.37461295,51.48980354,edu, @@ -2458,6 +2987,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 114907f89466987b3c41c8d530e50b2ac67179cf,Face Identification by a Cascade of Rejection Classifiers,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 114d6a2503847a72afeb38e79243ad10abc7e123,Building Unified Human Descriptors For Multi-Type Activity Recognition,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 11138173fa5e72a6bba314881d8d5dd74c1ac83f,Optimizing Mean Reciprocal Rank for person re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, +1183db5f409e8498d1a0f542703f908275a6dc34,Robust Visual Tracking and Vehicle Classification via Sparse Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 11b89011298e193d9e6a1d99302221c1d8645bda,Structured Feature Selection,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, 11aa527c01e61ec3a7a67eef8d7ffe9d9ce63f1d,"Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 11aa527c01e61ec3a7a67eef8d7ffe9d9ce63f1d,"Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, @@ -2465,6 +2995,10 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 11b40f51c156c82b6defe0717698bbb2317b66ba,Monocular Visual-IMU Odometry: A Comparative Evaluation of the Detector-Descriptor Based Methods,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu, 11b40f51c156c82b6defe0717698bbb2317b66ba,Monocular Visual-IMU Odometry: A Comparative Evaluation of the Detector-Descriptor Based Methods,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 11b3877df0213271676fa8aa347046fd4b1a99ad,Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +11606059047b2f3b2293a43af0a5eacd01830be0,Pedestrian detection from traffic scenes based on probabilistic models of the contour fragments,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, +11943efec248fcac57ff6913424e230d0a02e977,Auxiliary Tasks in Multi-task Learning,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +11811c547fe91e63547cc7081a859d13b4752f90,Designing Efficient Multimodal Classification Systems Based on Features and Svm Kernels Selection,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, +1119b4b038fd7d1d337d4aee232dea6c56f20cf1,A Sparse Embedding and Least Variance Encoding Approach to Hashing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 11937c9f54723bea7a0c936993b42e091b494e7d,Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu, 1108c1298673852bb4905f032c80173e1a891f8c,Dual Motion GAN for Future-Flow Embedded Video Prediction,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 11dc744736a30a189f88fa81be589be0b865c9fa,A Unified Multiplicative Framework for Attribute Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -2473,6 +3007,10 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 11408af8861fb0a977412e58c1a23d61b8df458c,A robust learning algorithm based on SURF and PSM for facial expression recognition,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, 118ca3b2e7c08094e2a50137b1548ada7935e505,A Dataset To Evaluate The Representations Learned By Video Prediction Models,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, 11ac88aebe0230e743c7ea2c2a76b5d4acbfecd0,Hybrid Cascade Model for Face Detection in the Wild Based on Normalized Pixel Difference and a Deep Convolutional Neural Network,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu, +11fe6d45aa2b33c2ec10d9786a71c15ec4d3dca8,Tied Factor Analysis for Face Recognition across Large Pose Differences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +11fe6d45aa2b33c2ec10d9786a71c15ec4d3dca8,Tied Factor Analysis for Face Recognition across Large Pose Differences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +11d04269aa147450f37215beb3ae44207daf3511,Using Visual Context and Region Semantics for High-Level Concept Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +11d04269aa147450f37215beb3ae44207daf3511,Using Visual Context and Region Semantics for High-Level Concept Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 117f164f416ea68e8b88a3005e55a39dbdf32ce4,Neuroaesthetics in fashion: Modeling the perception of fashionability,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 1188c925d90e93a205c5fc15d11fb2ae02660f2e,Deep Photovoltaic Nowcasting,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, 1177977134f6663fff0137f11b81be9c64c1f424,Multi-manifold deep metric learning for image set classification,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu, @@ -2482,7 +3020,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 1177977134f6663fff0137f11b81be9c64c1f424,Multi-manifold deep metric learning for image set classification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 1165516b4f8bc57ed416ef7be9482c4f013b41a2,Face Registration and Recognition Using Profiles in 3 D Range Images,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu, 117c7cf24b9310ed785ef6fb84e95c73186f61e6,Historical Heterogeneity Predicts Smiling: Evidence from Large-Scale Observational Analyses,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, -117c7cf24b9310ed785ef6fb84e95c73186f61e6,Historical Heterogeneity Predicts Smiling: Evidence from Large-Scale Observational Analyses,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +117c7cf24b9310ed785ef6fb84e95c73186f61e6,Historical Heterogeneity Predicts Smiling: Evidence from Large-Scale Observational Analyses,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 116888b8f08419f027f5047f0ff1557b16f69d5a,Fearful contextual expression impairs the encoding and recognition of target faces: an ERP study,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, 116888b8f08419f027f5047f0ff1557b16f69d5a,Fearful contextual expression impairs the encoding and recognition of target faces: an ERP study,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, 113e5678ed8c0af2b100245057976baf82fcb907,Facing Imbalanced Data--Recommendations for the Use of Performance Metrics,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -2490,6 +3028,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 113ced4a8c5ecb6da1b2eb63c1300cd8df982917,Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 113ced4a8c5ecb6da1b2eb63c1300cd8df982917,Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu, 114b34fd2a2a2acd4a968cbaeb5e0d2251fb2835,Combining Appearance and Structure from Motion Features for Road Scene Understanding,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, +114b34fd2a2a2acd4a968cbaeb5e0d2251fb2835,Combining Appearance and Structure from Motion Features for Road Scene Understanding,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 11269e98f072095ff94676d3dad34658f4876e0e,Facial expression recognition with multithreaded cascade of rotation-invariant HOG,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, 11269e98f072095ff94676d3dad34658f4876e0e,Facial expression recognition with multithreaded cascade of rotation-invariant HOG,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, 11269e98f072095ff94676d3dad34658f4876e0e,Facial expression recognition with multithreaded cascade of rotation-invariant HOG,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, @@ -2503,10 +3042,13 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 11a2ef92b6238055cf3f6dcac0ff49b7b803aee3,Towards reduction of the training and search running time complexities for non-rigid object segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 116763250838c0c37dace540ff38d33bf4864960,Robust Classification of Head Pose from Low Resolution Images under Various Lighting Condition,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, 2c3cac0f568ae9261ff9c80eeda55a13e83ae7fb,A discriminative framework for modelling object classes,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +2cce7a5289c4124d9b23fe67963f3d635b63091c,Towards intent dependent image enhancement - state-of-the-art and recent attempts,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 2c424f21607ff6c92e640bfe3da9ff105c08fac4,Learning Structured Output Representation using Deep Conditional Generative Models,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +2cb5bbebe7923ab6751f8df9a89389f7f8da1c1f,Face Sketch Synthesis From Coarse to Fine,China,China,China,35.86166000,104.19539700,edu, 2cb5bbebe7923ab6751f8df9a89389f7f8da1c1f,Face Sketch Synthesis From Coarse to Fine,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 2cb5bbebe7923ab6751f8df9a89389f7f8da1c1f,Face Sketch Synthesis From Coarse to Fine,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 2c19d3d35ef7062061b9e16d040cebd7e45f281d,End-to-end Video-level Representation Learning for Action Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +2c07d9a383e0bb7e1c8ba07084ba8bcf71af2aad,Robust Ear Recognition via Nonnegative Sparse Representation of Gabor Orientation Information,China,China,China,35.86166000,104.19539700,edu, 2c203050a6cca0a0bff80e574bda16a8c46fe9c2,Discriminative Deep Hashing for Scalable Face Image Retrieval,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 2c17d36bab56083293456fe14ceff5497cc97d75,Unconstrained Face Alignment via Cascaded Compositional Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 2c17d36bab56083293456fe14ceff5497cc97d75,Unconstrained Face Alignment via Cascaded Compositional Learning,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, @@ -2536,7 +3078,10 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 2cfc28a96b57e0817cc9624a5d553b3aafba56f3,P 2 F 2 : Privacy-Preserving Face Finder,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, 2c149eff297ffe7d762fd453571fb7cb1761d7a5,In Defence of Negative Mining for Annotating Weakly Labelled Data,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 2cde051e04569496fb525d7f1b1e5ce6364c8b21,Sparse 3D convolutional neural networks,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, +2c5d1e0719f3ad7f66e1763685ae536806f0c23b,AENet: Learning Deep Audio Features for Video Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2ce4e06a9fe107ff29a34ed4a8771222cbaacc9c,Learning Points and Routes to Recommend Trajectories,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +2cdc1b728c90d4da31f924879a39d00008d52daa,A Side of Data with My Robot : Three Datasets for Mobile Manipulation in Human Environments,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +2cdc1b728c90d4da31f924879a39d00008d52daa,A Side of Data with My Robot : Three Datasets for Mobile Manipulation in Human Environments,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2ccb12140ffc642010b448e7b6f77b3f57cea497,Adaptive City Characteristics: How Location Familiarity Changes What Is Regionally Descriptive,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 2ca43325a5dbde91af90bf850b83b0984587b3cc,For Your Eyes Only – Biometric Protection of PDF Documents,Gdansk University of Technology,Gdansk University of Technology,"PG, Romualda Traugutta, Królewska Dolina, Wrzeszcz Górny, Gdańsk, pomorskie, 80-233, RP",54.37086525,18.61716016,edu, 2c3430e0cbe6c8d7be3316a88a5c13a50e90021d,Multi-feature Spectral Clustering with Minimax Optimization,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, @@ -2549,30 +3094,42 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 2cff3c291e03dda9ed6cf9747eeffc5642762e52,A Survey : Face Recognition Techniques,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, 2cff3c291e03dda9ed6cf9747eeffc5642762e52,A Survey : Face Recognition Techniques,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu, 2c3c72fffcbbf66cbb649b64aa51199722140ad1,TVT: Two-View Transformer Network for Video Captioning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +2c86443519b46c83073b17c6a98da0fe781a2730,Confidence Propagation through CNNs for Guided Sparse Depth Regression.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2cdf5952b5a1bea5d24917aa2f3fc2ee33568e9a,Autoencoding the retrieval relevance of medical images,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 2cb7b6c6456735e5cf778ef9864bf590f7813ccf,Generative Dual Adversarial Network for Generalized Zero-shot Learning,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, +2cb7b6c6456735e5cf778ef9864bf590f7813ccf,Generative Dual Adversarial Network for Generalized Zero-shot Learning,China,China,China,35.86166000,104.19539700,edu, 2cb7b6c6456735e5cf778ef9864bf590f7813ccf,Generative Dual Adversarial Network for Generalized Zero-shot Learning,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c,Crafting 3D faces using free form portrait sketching and plausible texture inference,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c,Crafting 3D faces using free form portrait sketching and plausible texture inference,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c,Crafting 3D faces using free form portrait sketching and plausible texture inference,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c,Crafting 3D faces using free form portrait sketching and plausible texture inference,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 2ce3dbf18c10e62f1ffdeba5f3b16cf6c4c53c6c,Crafting 3D faces using free form portrait sketching and plausible texture inference,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +2c963e79a88a3f8ba71cd8d5c9f9f92c925f534c,An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments,China,China,China,35.86166000,104.19539700,edu, 2c963e79a88a3f8ba71cd8d5c9f9f92c925f534c,An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, +2c963e79a88a3f8ba71cd8d5c9f9f92c925f534c,An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments,"Kyushu Institute of Technology, Japan","Kyushu Institute of Technology, Japan","1-1 仙水町 戸畑区 北九州市 福岡県 804-8550, Japan",33.89419680,130.83940830,edu, 2c3e7392b865b228f5d56ab025cd3123554be5e1,Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the “Speaking Rosetta” JSALT 2017 Workshop,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +2c5b5a5e4b8cd001e535118c2fa90bff95d51648,Combining Facial Dynamics With Appearance for Age Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +2c5b5a5e4b8cd001e535118c2fa90bff95d51648,Combining Facial Dynamics With Appearance for Age Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +2ce073da76e6ed87eda2da08da0e00f4f060f1a6,Deep Saliency with Encoded Low Level Distance Map and High Level Features,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 2ce073da76e6ed87eda2da08da0e00f4f060f1a6,Deep Saliency with Encoded Low Level Distance Map and High Level Features,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" +2ce073da76e6ed87eda2da08da0e00f4f060f1a6,Deep Saliency with Encoded Low Level Distance Map and High Level Features,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 2cac70f9c8140a12b6a55cef834a3d7504200b62,Reconstructing High Quality Face-Surfaces using Model Based Stereo,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, -2cac70f9c8140a12b6a55cef834a3d7504200b62,Reconstructing High Quality Face-Surfaces using Model Based Stereo,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +2cac70f9c8140a12b6a55cef834a3d7504200b62,Reconstructing High Quality Face-Surfaces using Model Based Stereo,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 2cdc40f20b70ca44d9fd8e7716080ee05ca7924a,Real-time Convolutional Neural Networks for Emotion and Gender Classification,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, 2c21bd988a1a7e330380da4f8be0d23681c5c1b2,Objects as Context for Detecting Their Semantic Parts,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 2c55ac6330ce91a24131a81807237807134ec371,Visual Phrase Learning and Its Application in Computed Tomographic Colonography,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu, +2cd9a7eefc126469b566fc429657bb889d13b4fa,Robust object tracking based on RGB-D camera,China,China,China,35.86166000,104.19539700,edu, 2cd9a7eefc126469b566fc429657bb889d13b4fa,Robust object tracking based on RGB-D camera,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 2cd9a7eefc126469b566fc429657bb889d13b4fa,Robust object tracking based on RGB-D camera,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 2ce38dbb4d4228ae4a7016b0422155a274b88659,Automatic 3 D Face Extraction from Raw Scanned Triangle Mesh,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 2ce38dbb4d4228ae4a7016b0422155a274b88659,Automatic 3 D Face Extraction from Raw Scanned Triangle Mesh,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +2c34bf897bad780e124d5539099405c28f3279ac,Robust Face Recognition via Block Sparse Bayesian Learning,China,China,China,35.86166000,104.19539700,edu, +2c34bf897bad780e124d5539099405c28f3279ac,Robust Face Recognition via Block Sparse Bayesian Learning,China,China,China,35.86166000,104.19539700,edu, 2c4def184f940e2dd4302bdc130999c27054de3e,A new spontaneous expression database and a study of classification-based expression analysis methods,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu, 2c4def184f940e2dd4302bdc130999c27054de3e,A new spontaneous expression database and a study of classification-based expression analysis methods,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, 2c7934a2f1671286370cd9adebc2872c6dd318f5,Visual Scene Understanding through Semantic Segmentation Visual Scene Understanding through Semantic Segmentation,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, 2c7934a2f1671286370cd9adebc2872c6dd318f5,Visual Scene Understanding through Semantic Segmentation Visual Scene Understanding through Semantic Segmentation,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, +2c8f24f859bbbc4193d4d83645ef467bcf25adc2,Classification in the Presence of Label Noise: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2ceaa8d6ee74105a6b5561661db299c885f9135b,Learning to Decode for Future Success,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 2c7946d5d2f1572c20e9843eb2033b8eb9771bf3,Mechanisms for widespread hippocampal involvement in cognition.,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 2c7946d5d2f1572c20e9843eb2033b8eb9771bf3,Mechanisms for widespread hippocampal involvement in cognition.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, @@ -2580,9 +3137,12 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 2c7946d5d2f1572c20e9843eb2033b8eb9771bf3,Mechanisms for widespread hippocampal involvement in cognition.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 2cae2ca6221fbfa9655e41ac52e54631ada7ad2c,Electoral College and Direct Popular Vote for Multi-Candidate Election,University of Northern British Columbia,University of Northern British Columbia,"UNBC, Campus Ring Road, College Heights, Prince George, Regional District of Fraser-Fort George, British Columbia, V2M 5K7, Canada",53.89256620,-122.81471592,edu, 2c29f5245e20b49acad4c63220a17f3b1fb8cd00,Preserving Modes and Messages via Diverse Particle Selection,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +2c29f5245e20b49acad4c63220a17f3b1fb8cd00,Preserving Modes and Messages via Diverse Particle Selection,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +2c29f5245e20b49acad4c63220a17f3b1fb8cd00,Preserving Modes and Messages via Diverse Particle Selection,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 2c29f5245e20b49acad4c63220a17f3b1fb8cd00,Preserving Modes and Messages via Diverse Particle Selection,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 2cf264065bf579247b3f0754de7e6592cf5a66ad,Local Associated Features for Pedestrian Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2cf264065bf579247b3f0754de7e6592cf5a66ad,Local Associated Features for Pedestrian Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +2cf264065bf579247b3f0754de7e6592cf5a66ad,Local Associated Features for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu, 2ca5f4ffcc2dc75422e1ed0a9d848280d82ad626,Attacking Object Detectors via Imperceptible Patches on Background,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, 2ca761938bd789b82d1a4ca85e7b8d5661093660,Enhancing Music Information Retrieval by Incorporating Image-Based Local Features,Open University,The Open University,"The Open University, East Lane, Walton, Monkston, Milton Keynes, South East, England, MK7 6AE, UK",52.02453775,-0.70927481,edu, 2ca761938bd789b82d1a4ca85e7b8d5661093660,Enhancing Music Information Retrieval by Incorporating Image-Based Local Features,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, @@ -2610,13 +3170,22 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 833b6e61468fe655b5067ca91608fc37246c767b,FERA 2015 - second Facial Expression Recognition and Analysis challenge,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 832ebccfecac5728d5c556a8398a0756ae242549,Detection and Tracking of Moving Objects Using 2 . 5 D Motion Grids,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu, 832ebccfecac5728d5c556a8398a0756ae242549,Detection and Tracking of Moving Objects Using 2 . 5 D Motion Grids,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu, +833a2c168849697aae3589bbeef0cbca22808fe8,"Quantity, Contrast, and Convention in Cross-Situated Language Comprehension",China,China,China,35.86166000,104.19539700,edu, 8370912226ee7783c459368593bc3f88310b1414,"Biometrics : An Overview of the Technology , Issues and Applications",Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +83d1617092b34804c3825fdf4292120c382fe043,Appearance-Based Multimodal Human Tracking and Identification for Healthcare in the Digital Home,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, +83c19722450e8f7dcb89dabb38265f19efafba27,A framework with updateable joint images re-ranking for Person Re-identification.,China,China,China,35.86166000,104.19539700,edu, +83c19722450e8f7dcb89dabb38265f19efafba27,A framework with updateable joint images re-ranking for Person Re-identification.,China,China,China,35.86166000,104.19539700,edu, +8326b11dd0b81dcc169ce21fc12e0c9d632db6bd,Recognition : A Unified Approach on Tracking and Recognition,India,India,India,20.59368400,78.96288000,edu, +8326b11dd0b81dcc169ce21fc12e0c9d632db6bd,Recognition : A Unified Approach on Tracking and Recognition,India,India,India,20.59368400,78.96288000,edu, 831226405bb255527e9127b84e8eaedd7eb8e9f9,A Motion-Based Feature for Event-Based Pattern Recognition,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 831226405bb255527e9127b84e8eaedd7eb8e9f9,A Motion-Based Feature for Event-Based Pattern Recognition,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu, 83295bce2340cb87901499cff492ae6ff3365475,Deep Multi-Center Learning for Face Alignment,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 83295bce2340cb87901499cff492ae6ff3365475,Deep Multi-Center Learning for Face Alignment,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, 838ed2aae603dec5851ebf5e4bc64b54db7f34be,Real-Time Ensemble Based Face Recognition System for Humanoid Robots,University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu, +83bdd4e4993d5213a3dd1fb3dc69c40eee643a6a,Review : Recent Structure-From-Motion Algorithms 3 D Shape Reconstruction,India,India,India,20.59368400,78.96288000,edu, +83bdd4e4993d5213a3dd1fb3dc69c40eee643a6a,Review : Recent Structure-From-Motion Algorithms 3 D Shape Reconstruction,India,India,India,20.59368400,78.96288000,edu, 83a811fd947415df2413d15386dbc558f07595cb,Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +83a811fd947415df2413d15386dbc558f07595cb,Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN,China,China,China,35.86166000,104.19539700,edu, 83e893858d6a6b8abb07d89e9f821f90c2b074ea,Facial image retrieval based on demographic classification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 83e5e6fc0f086017b3e099ec063df94f47427d2c,"Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 837635f647c42d03812a7f4ab5f87c5a49372a0b,Gait Recognition Using Gait Entropy Image,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, @@ -2628,8 +3197,10 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 831b4d8b0c0173b0bac0e328e844a0fbafae6639,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 831b4d8b0c0173b0bac0e328e844a0fbafae6639,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 831b4d8b0c0173b0bac0e328e844a0fbafae6639,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +83df0ec6071dfda29da831860fdb2a1f19a6b3bc,3D Face Recognition Using Joint Differential Invariants,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 83c695de8b42e592b3f23948f90b699b82c0b068,Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 836a4ee4bffafba259e2d824fc89020de86daab0,Identification of Structurally Damaged Areas in Airborne Oblique Images Using a Visual-Bag-of-Words Approach,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +83968f81f23a34e18e850fe2cf68bab51e22e35c,Attention-driven parts-based object detection,Finland,Finland,Finland,61.92411000,25.74815110,edu, 8356b642e4e9bb39bd26ea6c4b9bad21bd9b1912,Seeing People in the Dark: Face Recognition in Infrared Images,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 83e8bbbccb8613de490b1a362dd3fedc411cbfe0,A 3 FD : Accurate 3 D Face Detection,University of Milan,University of Milan,"Milan Avenue, Ray Mar Terrace, University City, St. Louis County, Missouri, 63130, USA",38.67966620,-90.32628160,edu, 83acde484baf81ee3a09c30ec250c11c111d2c0a,Tracking articulated human movements witha component based approach to boosted multiple instance learning,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, @@ -2637,6 +3208,7 @@ c136e338606acb0e3a0752a75cf1cef7db5de0a6,Combining features and decisions for fa 8328ced86dffd1bfe300dca9e960ee328ae9ab0d,Gradient-Domain Techniques for Image & Video Processing,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, bb0071e21e1f00568ea80dd22c5bcef06bdebe2c,Surface Reconstruction of Rotating Objects from Monocular Video,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, bb06ef67a49849c169781657be0bb717587990e0,Impact of temporal subsampling on accuracy and performance in practical video classification,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +bb06ef67a49849c169781657be0bb717587990e0,Impact of temporal subsampling on accuracy and performance in practical video classification,"IBM Research - Zürich, 8803 Rüschlikon, Switzerland","IBM Research - Zürich, 8803 Rüschlikon, Switzerland","Säumerstrasse 4, 8803 Rüschlikon, Switzerland",47.30950160,8.54507160,edu, bb06ef67a49849c169781657be0bb717587990e0,Impact of temporal subsampling on accuracy and performance in practical video classification,University of Bologna,Università di Bologna,"Via Zamboni, 33, 40126 Bologna BO, Italy",44.49623180,11.35415700,edu, bb31312a7f07486676cae4f7a2ad7da43b0700e2,The impact of privacy protection filters on gender recognition,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, bb31312a7f07486676cae4f7a2ad7da43b0700e2,The impact of privacy protection filters on gender recognition,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015" @@ -2652,17 +3224,27 @@ bbd9b5e4d4761d923d21a060513e826bf5bfc620,Harvesting Multiple Views for Marker-Le bbd9b5e4d4761d923d21a060513e826bf5bfc620,Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu, bb1bc9df5e9cec3e8a03a027b8016b8fc25be73a,Improving Bi-directional Generation between Different Modalities with Variational Autoencoders,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, bb65479d3f38b73826596e5da9dbf5ee4199d42c,Scale Aggregation Network for Accurate and Efficient Crowd Counting,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on : Automatic Movie Character Annotation by Robust Face-Name Graph Matching,India,India,India,20.59368400,78.96288000,edu, +bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on : Automatic Movie Character Annotation by Robust Face-Name Graph Matching,India,India,India,20.59368400,78.96288000,edu, +bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on : Automatic Movie Character Annotation by Robust Face-Name Graph Matching,India,India,India,20.59368400,78.96288000,edu, +bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on : Automatic Movie Character Annotation by Robust Face-Name Graph Matching,India,India,India,20.59368400,78.96288000,edu, bbf56398dba5593a2aed1c3857fa011442b3aed6,Mind Your Language: Learning Visually Grounded Dialog in a Multi-Agent Setting,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, bbe949c06dc4872c7976950b655788555fe513b8,Automatic Frequency Band Selection for Illumination Robust Face Recognition,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, bb55301662e6bf9933b5ecd5c3602b4298c9b14d,STATISTICAL ESTIMATORS FOR USE IN AUTOMATIC LIP SEGMENTATION,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, bbbc815f6329798fcc72c6c620499eb0d1bda073,CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, bbbc815f6329798fcc72c6c620499eb0d1bda073,CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, +bbbc815f6329798fcc72c6c620499eb0d1bda073,CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles,China,China,China,35.86166000,104.19539700,edu, +bb7c093c41fcec269b6a7a950902cc95429bb289,Robust video object tracking via Bayesian model averaging based feature fusion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, bb491d3bd43d8fb018cb7f14ca4a17738225bafb,De-genderization by body contours reshaping,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, bb4362bd6f0bc5bb467fc8f169723243caa97d1d,"Joint learning of visual attributes, object classes and visual saliency","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, bb4362bd6f0bc5bb467fc8f169723243caa97d1d,"Joint learning of visual attributes, object classes and visual saliency","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, -bbcb4920b312da201bf4d2359383fb4ee3b17ed9,Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +bbcb4920b312da201bf4d2359383fb4ee3b17ed9,Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression,China,China,China,35.86166000,104.19539700,edu, +bbcb4920b312da201bf4d2359383fb4ee3b17ed9,Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression,China,China,China,35.86166000,104.19539700,edu, +bbcb4920b312da201bf4d2359383fb4ee3b17ed9,Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression,China,China,China,35.86166000,104.19539700,edu, +bbcb4920b312da201bf4d2359383fb4ee3b17ed9,Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression,China,China,China,35.86166000,104.19539700,edu, bbc4b376ebd296fb9848b857527a72c82828fc52,Attributes for Improved Attributes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, bbc4b376ebd296fb9848b857527a72c82828fc52,Attributes for Improved Attributes,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, +bbc76f0e50ab96e7318816e24c65fd3459d0497c,Survey of Pedestrian Detection for Advanced Driver Assistance Systems,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, bbb71cbca731295758563acdc67273b99618e1c0,SwapNet: Image Based Garment Transfer,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, bbb71cbca731295758563acdc67273b99618e1c0,SwapNet: Image Based Garment Transfer,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, bb6bf94bffc37ef2970410e74a6b6dc44a7f4feb,Situation Recognition with Graph Neural Networks Supplementary Material,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -2672,14 +3254,18 @@ bba153ebdf11e6fb8716e35749c671ac96c14176,Image Crowd Counting Using Convolutiona bbc4bdab563b8b4cea55dfd6a7ea32680e082933,Normalized Autobinomial Markov Channels For Pedestrian Detection,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, bbcf6f54d3e991f85a949544abf20b781d5ba2ed,eighted principal component extraction with genetic algorithms,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, bbfe095e11ecfdb9d9e8577e119bbd67170d6925,DeepSIC: Deep Semantic Image Compression,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +bbfe095e11ecfdb9d9e8577e119bbd67170d6925,DeepSIC: Deep Semantic Image Compression,China,China,China,35.86166000,104.19539700,edu, bbfe095e11ecfdb9d9e8577e119bbd67170d6925,DeepSIC: Deep Semantic Image Compression,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, bbfe095e11ecfdb9d9e8577e119bbd67170d6925,DeepSIC: Deep Semantic Image Compression,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +bbfe095e11ecfdb9d9e8577e119bbd67170d6925,DeepSIC: Deep Semantic Image Compression,China,China,China,35.86166000,104.19539700,edu, +bb97664df153ac563e46ec2233346129cafe601b,A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance,India,India,India,20.59368400,78.96288000,edu, bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Complex Scene Understanding,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 5830e0816667e08bb0efca538d892ea329307daa,Filling the Joints : Completion and Recovery of Incomplete 3 D Human Poses †,University of Crete,University of Crete,"House of Europe, Μακεδονίας, Ρέθυμνο, Δήμος Ρεθύμνης, Περιφερειακή Ενότητα Ρεθύμνου, Περιφέρεια Κρήτης, Κρήτη, 930100, Ελλάδα",35.37130240,24.47544080,edu, 584909d2220b52c0d037e8761d80cb22f516773f,OCR-Free Transcript Alignment,Open University,The Open University,"The Open University, East Lane, Walton, Monkston, Milton Keynes, South East, England, MK7 6AE, UK",52.02453775,-0.70927481,edu, 584909d2220b52c0d037e8761d80cb22f516773f,OCR-Free Transcript Alignment,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 584909d2220b52c0d037e8761d80cb22f516773f,OCR-Free Transcript Alignment,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 5820ba4c09695ce677a5aca6b0628c024303e60b,Semantic Correspondence: A Hierarchical Approach,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, +58542eeef9317ffab9b155579256d11efb4610f2,"Face Recognition Revisited On Pose , Alignment , Color , Illumination And Expression-Pyten",India,India,India,20.59368400,78.96288000,edu, 5853875ecc400b3b365f73cbf44e8680da2bc5ca,Harvesting visual concepts for image search with complex queries,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 5849635e61ed7d6358f65f5a228a5148e4fea3b8,Deep Watershed Transform for Instance Segmentation,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 582519e667fe1520dedaa04ffacbb2161b6a5b84,On GANs and GMMs,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, @@ -2690,6 +3276,7 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com 58bac838068df358b536850a84ff806a23f061fc,An information theoretic approach to joint probabilistic face detection and tracking,University of Thessaloniki,University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 58ef0c54f01073e43ae5e9662f450002540355e9,Semi-Supervised Zero-Shot Classification with Label Representation Learning,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 58ef0c54f01073e43ae5e9662f450002540355e9,Semi-Supervised Zero-Shot Classification with Label Representation Learning,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, +58db008b204d0c3c6744f280e8367b4057173259,Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu, 58303432a25cc86bfe9c77cf4c04f91695a24304,Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 58303432a25cc86bfe9c77cf4c04f91695a24304,Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 58c3e04e8105cf8f2721c4a4a6487db752bb8852,Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, @@ -2706,20 +3293,29 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com 58d47c187b38b8a2bad319c789a09781073d052d,Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 58d47c187b38b8a2bad319c789a09781073d052d,Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 58d47c187b38b8a2bad319c789a09781073d052d,Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, +58d47c187b38b8a2bad319c789a09781073d052d,Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation,China,China,China,35.86166000,104.19539700,edu, +58d47c187b38b8a2bad319c789a09781073d052d,Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation,China,China,China,35.86166000,104.19539700,edu, 5806ff24d62e868b73312f704e7ad8d74eecfbc0,Estimating 3D Human Pose from Single Images Using Iterative Refinement of the Prior,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu, 58628e64e61bd2776a2a7258012eabe3c79ca90c,Active Grounding of Visual Situations,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu, 58628e64e61bd2776a2a7258012eabe3c79ca90c,Active Grounding of Visual Situations,Santa Fe Institute,Santa Fe Institute,"Santa Fe Institute, Hyde Park Road, Santa Fe, Santa Fe County, New Mexico, 87501, USA",35.70028780,-105.90864847,edu, +58970f1f51432a094faaeb3f4f70aa1778d61a42,Face Alignment Via Component-Based Discriminative Search,China,China,China,35.86166000,104.19539700,edu, +5872a8ae1879c3f20d94e7cc5a4fcef47b654c7e,Sparse Matching of Salient Facial Curves for Recognizing 3 D Faces,India,India,India,20.59368400,78.96288000,edu, 585260468d023ffc95f0e539c3fa87254c28510b,Cardea: Context-Aware Visual Privacy Protection from Pervasive Cameras,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, 580e48d3e7fe1ae0ceed2137976139852b1755df,THE EFFECTS OF MOTION AND ORIENTATION ON PERCEPTION OF FACIAL EXPRESSIONS AND FACE RECOGNITION,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 58d76380d194248b3bb291b8c7c5137a0a376897,FaceID-GAN : Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 58d76380d194248b3bb291b8c7c5137a0a376897,FaceID-GAN : Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 58eba9930b63cc14715368acf40017293b8dc94f,What Do I See? Modeling Human Visual Perception for Multi-person Tracking,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 589cf8d6e4d6dd7372b469814d4e369f318a17d3,Local Patch Vectors Encoded by Fisher Vectors for Image Classification,HoHai University,HoHai University,"河海大学, 河海路, 小市桥, 鼓楼区, 南京市, 江苏省, 210013, 中国",32.05765485,118.75500040,edu, +589cf8d6e4d6dd7372b469814d4e369f318a17d3,Local Patch Vectors Encoded by Fisher Vectors for Image Classification,China,China,China,35.86166000,104.19539700,edu, 58622d45472f454ea64fd456d9b52ed9f7dad7f4,Web-scale computer vision using MapReduce for multimedia data mining,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,China,China,China,35.86166000,104.19539700,edu, 58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,China,China,China,35.86166000,104.19539700,edu, +58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, +58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,China,China,China,35.86166000,104.19539700,edu, 58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,China,China,China,35.86166000,104.19539700,edu, 58c726732e747526ecd910dfabd9971c69a89e03,Automatic Mitochondria Segmentation for EM Data Using a 3D Supervised Convolutional Network,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 5811944e93a1f3e35ece7a70a43a3de95c69b5ab,Convolutional neural networks for attribute-based active authentication on mobile devices,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 5811944e93a1f3e35ece7a70a43a3de95c69b5ab,Convolutional neural networks for attribute-based active authentication on mobile devices,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, @@ -2734,8 +3330,11 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com 58b99c3d5a0d3d1b567ae5c1d963abecc4d72d70,Convolutional Neural Networks for Counting Fish in Fisheries Surveillance Video,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, 589b1677d6de28c47693c5816c32698860c32d10,"Tri-modal Person Re-identification with RGB, Depth and Thermal Features",Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 580f86f1ace1feed16b592d05c2b07f26c429b4b,Dense-Captioning Events in Videos,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +58a5c2f9f60bdc6ab640767cb21fd6ba04eef5d7,Towards a Unified 3 D Affective Model,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, 58ecbe5e7d10b4176ceaecc36ae05e15908289c2,Intelligent Health Recommendation System for Computer Users,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 58ecbe5e7d10b4176ceaecc36ae05e15908289c2,Intelligent Health Recommendation System for Computer Users,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +58ecbe5e7d10b4176ceaecc36ae05e15908289c2,Intelligent Health Recommendation System for Computer Users,China,China,China,35.86166000,104.19539700,edu, +58a3d1e4745d047429facc96685d31da86eaccd4,AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving,"Valeo Vision Systems, Ireland","Valeo Vision Systems, Ireland","IDA Business Park, Dunmore Rd, Galway, Ireland",53.52190380,-8.84273220,edu, 0d75052f1d7350fa035a35566555ce7b65d1cd2f,Oracle Performance for Visual Captioning,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 0dbacb4fd069462841ebb26e1454b4d147cd8e98,Recent advances in discriminant non-negative Matrix Factorization,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 0d57d3d2d04fc96d731cac99a7a8ef79050dac75,Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, @@ -2745,6 +3344,8 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com 0da75b0d341c8f945fae1da6c77b6ec345f47f2a,The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People With Visual Impairments,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 0da2a7ee04092645867614db3574cb261f33b6e2,Watching Unlabeled Video Helps Learn New Human Actions from Very Few Labeled Snapshots,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 0db6a58927a671c01089c53248b0e1c36bdc3231,Efficient Point Process Inference for Large-Scale Object Detection,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +0dfb47e206c762d2f4caeb99fd9019ade78c2c98,Custom Pictorial Structures for Re-identification,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, +0dfb47e206c762d2f4caeb99fd9019ade78c2c98,Custom Pictorial Structures for Re-identification,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 0dceca6bb3ac648c611f7097cf52a9b7f59be6f9,An Egocentric Look at Video Photographer Identity,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, 0dcff2dbf287a6e2937f495e1cd887297863296d,A Novel Method for Estimating Free Space 3D Point-of-Regard Using Pupillary Reflex and Line-of-Sight Convergence Points,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 0dcff2dbf287a6e2937f495e1cd887297863296d,A Novel Method for Estimating Free Space 3D Point-of-Regard Using Pupillary Reflex and Line-of-Sight Convergence Points,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, @@ -2760,6 +3361,7 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com 0d7f770c3b6857d5ef5dfe5f1b23e69f4a575fd3,Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 0d7f770c3b6857d5ef5dfe5f1b23e69f4a575fd3,Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 0d7f770c3b6857d5ef5dfe5f1b23e69f4a575fd3,Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +0d21472dbf20d4c1bd48a15267b4a59eff80e309,Multi-component models for object detection,China,China,China,35.86166000,104.19539700,edu, 0d57ba12a6d958e178d83be4c84513f7e42b24e5,"Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.",Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" 0d6f874b5a0772d1ea88e85a010a01e381d02982,Sparse Kernel Clustering of Massive High-Dimensional Data sets with Large Number of Clusters,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 0df90f86da6e92c7a351be6d5f7cf9c1452124d0,Person Search by Multi-Scale Matching,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, @@ -2771,6 +3373,7 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com 0d08ab78ce86e053ff3003aef951a5174d56beb8,A Thermal Infrared Video Benchmark for Visual Analysis,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 0dc3c1677e7d76133e5ebc7b62ae23524e289627,Comparing Fairness Criteria Based on Social Outcome,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 0dc3c1677e7d76133e5ebc7b62ae23524e289627,Comparing Fairness Criteria Based on Social Outcome,Santa Fe Institute,Santa Fe Institute,"Santa Fe Institute, Hyde Park Road, Santa Fe, Santa Fe County, New Mexico, 87501, USA",35.70028780,-105.90864847,edu, +0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a,Detection and Tracking of Faces in Videos: A Review of Related Work,India,India,India,20.59368400,78.96288000,edu, 0d35ab4d59c3731986965dcc935d11074832bc1d,Detecting adversarial example attacks to deep neural networks,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu, 0d5d0d4553e7049fe485a87013710c838adfb8b0,On Optimisation of Smart Card Face Verification Systems,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 0d7810ba414b746b0d4f73aa94042bb0ea8f324d,Attention-based Few-Shot Person Re-identification Using Meta Learning,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, @@ -2780,11 +3383,13 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com 0daf696253a1b42d2c9d23f1008b32c65a9e4c1e,Unsupervised discovery of facial events,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0d4c620aa869585e31ca7018c813569f3ec1a028,Survey on Vision-Based Path Prediction,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu, 0d4c620aa869585e31ca7018c813569f3ec1a028,Survey on Vision-Based Path Prediction,Hiroshima University,Hiroshima University,"Hiroshima University 広島大学 東広島キャンパス, 出会いの道 Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu, +0dc49271dc30794c8d4e7f9da025880fcdc8498b,Cascaded Mutual Modulation for Visual Reasoning,China,China,China,35.86166000,104.19539700,edu, 0dc49271dc30794c8d4e7f9da025880fcdc8498b,Cascaded Mutual Modulation for Visual Reasoning,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 0df0d1adea39a5bef318b74faa37de7f3e00b452,Appearance-based gaze estimation in the wild,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 0dde6981047067692793b71a2f7ad6a8708741d8,MODELING PHYSICAL PERSONALITIES FOR VIRTUAL AGENTS BY MODELING TRAIT IMPRESSIONS OF THE FACE: A NEURAL NETWORK ANALYSIS by SHERYL BRAHNAM,City University of New York,The City University of New York,"Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA",40.87228250,-73.89489171,edu, 0d2e29f07275fe05a44b04f16cd3edd0c3f448f0,Development of the Korean Facial Emotion Stimuli: Korea University Facial Expression Collection 2nd Edition,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, 0d2e29f07275fe05a44b04f16cd3edd0c3f448f0,Development of the Korean Facial Emotion Stimuli: Korea University Facial Expression Collection 2nd Edition,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, +0dd74bbda5dd3d9305636d4b6f0dad85d6e19572,Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0de0c329e07ffb91d100424259a4a18973d731a9,Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 0dfa460a35f7cab4705726b6367557b9f7842c65,Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 0d1d7471e8b08a4577b60a63b35fbd88dbf38ec0,A dataset for workflow recognition in industrial scenes,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, @@ -2798,13 +3403,14 @@ bb030eaf7c25953369ee111dc1555f4f85409bb4,Scenarios: A New Representation for Com 0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e,Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e,Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 0d9decf6e3ce9c4f2239b9f0731ab9107ade9b7e,Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +0d6b28691e1aa2a17ffaa98b9b38ac3140fb3306,Review of Perceptual Resemblance of Local Plastic Surgery Facial Images using Near Sets,India,India,India,20.59368400,78.96288000,edu, 0d725e4fea8bbaf332d6a8d424ebecbd547a3851,Maximum Classifier Discrepancy for Unsupervised Domain Adaptation,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 0daaa56d724c11e64338996e99a257fa69900236,Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, b6823edcbef7485e3169464d77ed9cd0d77aac1e,Real-time traffic estimation at vehicular edge nodes,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, b6823edcbef7485e3169464d77ed9cd0d77aac1e,Real-time traffic estimation at vehicular edge nodes,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, b6823edcbef7485e3169464d77ed9cd0d77aac1e,Real-time traffic estimation at vehicular edge nodes,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, b6823edcbef7485e3169464d77ed9cd0d77aac1e,Real-time traffic estimation at vehicular edge nodes,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, -b67fade804ad0ab12e484582190899fea14bc799,Making Better Use of the Crowd,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +b67fade804ad0ab12e484582190899fea14bc799,Making Better Use of the Crowd,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, b68150bfdec373ed8e025f448b7a3485c16e3201,Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, b6dc63cdd08e19cf6ec0aac08a0f82a17c8c370a,Tracking for Learning an Object Representation from Unlabeled Data,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, b6d3caccdcb3fbce45ce1a68bb5643f7e68dadb3,Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, @@ -2814,17 +3420,23 @@ b68881f3528fc39226ffa44220ddb41a467910b5,A preliminary investigation on the sens b61c0b11b1c25958d202b4f7ca772e1d95ee1037,Bridging Category-level and Instance-level Semantic Image Segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, b6810adcfd507b2e019ebc8afe4f44f953faf946,ML-LocNet: Improving Object Localization with Multi-view Learning Network,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, b6810adcfd507b2e019ebc8afe4f44f953faf946,ML-LocNet: Improving Object Localization with Multi-view Learning Network,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, -b6ef158d95042f39765df04373c01546524c9ccd,Im 2 vid : Future Video Prediction for Static Image Action Recognition,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +b6ef158d95042f39765df04373c01546524c9ccd,Im 2 vid : Future Video Prediction for Static Image Action Recognition,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, b69fbf046faf685655b5fa52fef07fb77e75eff4,Modeling guidance and recognition in categorical search: bridging human and computer object detection.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, b69fbf046faf685655b5fa52fef07fb77e75eff4,Modeling guidance and recognition in categorical search: bridging human and computer object detection.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, b69fbf046faf685655b5fa52fef07fb77e75eff4,Modeling guidance and recognition in categorical search: bridging human and computer object detection.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, b69fbf046faf685655b5fa52fef07fb77e75eff4,Modeling guidance and recognition in categorical search: bridging human and computer object detection.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, b69fbf046faf685655b5fa52fef07fb77e75eff4,Modeling guidance and recognition in categorical search: bridging human and computer object detection.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, +b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,China,China,China,35.86166000,104.19539700,edu, +b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,Russia,Russia,Russia,61.52401000,105.31875600,edu, +b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,China,China,China,35.86166000,104.19539700,edu, b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +b64c2baf82c51a7538136c32f5193bdfef946297,UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring,China,China,China,35.86166000,104.19539700,edu, b6145d3268032da70edc9cfececa1f9ffa4e3f11,Face Recognition Using the Discrete Cosine Transform,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, +b6aaaf6290ba0ca13be61d122907617f1ea86315,Embedded Face Recognition Using Cascaded Structures PROEFSCHRIFT,China,China,China,35.86166000,104.19539700,edu, b6862bb11e7e72f7c2e71de9d8e5aa731f8a0df7,Probabilistic combination of static and dynamic gait features for verification,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, b6052dc718c72f2506cfd9d29422642ecf3992ef,A Survey on Human Motion Analysis from Depth Data,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, +b6052dc718c72f2506cfd9d29422642ecf3992ef,A Survey on Human Motion Analysis from Depth Data,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, b6052dc718c72f2506cfd9d29422642ecf3992ef,A Survey on Human Motion Analysis from Depth Data,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, b6bf15f123a814538fff5db757a474be6fc0c72f,Event-Centric Twitter Photo Summarization,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, b6946370d6c13d562b96e42d494817c7d1969a8f,Refining Bounding-Box Regression for Object Localization,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu, @@ -2834,9 +3446,12 @@ b689d344502419f656d482bd186a5ee6b0140891,Structural resemblance to emotional exp b689d344502419f656d482bd186a5ee6b0140891,Structural resemblance to emotional expressions predicts evaluation of emotionally neutral faces.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, b689d344502419f656d482bd186a5ee6b0140891,Structural resemblance to emotional expressions predicts evaluation of emotionally neutral faces.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, b689d344502419f656d482bd186a5ee6b0140891,Structural resemblance to emotional expressions predicts evaluation of emotionally neutral faces.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, +b613b30a7cbe76700855479a8d25164fa7b6b9f1,Identifying User-Specific Facial Affects from Spontaneous Expressions with Minimal Annotation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +b613b30a7cbe76700855479a8d25164fa7b6b9f1,Identifying User-Specific Facial Affects from Spontaneous Expressions with Minimal Annotation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b64cfb39840969b1c769e336a05a30e7f9efcd61,CRF-Based Context Modeling for Person Identification in Broadcast Videos,"National Institute of Informatics, Japan","National Institute of Informatics, Japan","2 Chome-1-2 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan",35.69248530,139.75825330,edu, b64cfb39840969b1c769e336a05a30e7f9efcd61,CRF-Based Context Modeling for Person Identification in Broadcast Videos,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, b6a01cd4572b5f2f3a82732ef07d7296ab0161d3,Kernel-Based Supervised Discrete Hashing for Image Retrieval,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, +b6d794f73ef7f2a6ffb4738a7dee334f512046bf,Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b6a3802075d460093977f8566c451f950edf7a47,Facilitating and Exploring Planar Homogeneous Texture for Indoor Scene Understanding,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, b61a3f8b80bbd44f24544dc915f52fd30bbdf485,"Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, b613ea6c4fb5efdf17af090d64e9bdce41e28711,Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, @@ -2845,16 +3460,24 @@ b613ea6c4fb5efdf17af090d64e9bdce41e28711,Where and When to Look? Spatio-temporal b613ea6c4fb5efdf17af090d64e9bdce41e28711,Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, b6d977251b551471f5dddfb0a2e8f9c542e684d2,Recurrent Tubelet Proposal and Recognition Networks for Action Detection,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, b6d977251b551471f5dddfb0a2e8f9c542e684d2,Recurrent Tubelet Proposal and Recognition Networks for Action Detection,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, +b6d977251b551471f5dddfb0a2e8f9c542e684d2,Recurrent Tubelet Proposal and Recognition Networks for Action Detection,China,China,China,35.86166000,104.19539700,edu, b68e8550eb4be5f36b30b15487a15226729ae379,Extracting biometric binary strings with minimal area under the FRR curve for the hamming distance classifier,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, b603bcd53a045c7c991106423c79d5a2975b3da4,Unpaired Multi-Domain Image Generation via Regularized Conditional GANs,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +b69f7660985be23abda72990cb1f367778960275,Object Recognition based on Principal Component Analysis to Image Patches,India,India,India,20.59368400,78.96288000,edu, +b69f7660985be23abda72990cb1f367778960275,Object Recognition based on Principal Component Analysis to Image Patches,India,India,India,20.59368400,78.96288000,edu, +b658fefafe36edf7c62fbc9eb728ef971f478e27,Learning a low-rank shared dictionary for object classification,Pennsylvania State University,Pennsylvania State University,,,,edu, b6408fdce06c5ffd8d7141fe872cd677336e80c9,Compact Environment-Invariant Codes for Robust Visual Place Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, b6408fdce06c5ffd8d7141fe872cd677336e80c9,Compact Environment-Invariant Codes for Robust Visual Place Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +b6408fdce06c5ffd8d7141fe872cd677336e80c9,Compact Environment-Invariant Codes for Robust Visual Place Recognition,India,India,India,20.59368400,78.96288000,edu, +b6408fdce06c5ffd8d7141fe872cd677336e80c9,Compact Environment-Invariant Codes for Robust Visual Place Recognition,India,India,India,20.59368400,78.96288000,edu, b6f758be954d34817d4ebaa22b30c63a4b8ddb35,A Proximity-Aware Hierarchical Clustering of Faces,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, b62ffb6a17d75363c8873a236f1d8c49d07c8a0e,An MRF-Poselets Model for Detecting Highly Articulated Humans,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, b657702aed7aff8f1a86fa32d30a07197f8348c5,Adaptive Contour Fitting for Pose-Invariant 3D Face Shape Reconstruction,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, -b6d0e461535116a675a0354e7da65b2c1d2958d4,Deep Directional Statistics: Pose Estimation with Uncertainty Quantification,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +b6d0e461535116a675a0354e7da65b2c1d2958d4,Deep Directional Statistics: Pose Estimation with Uncertainty Quantification,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +b6d0e461535116a675a0354e7da65b2c1d2958d4,Deep Directional Statistics: Pose Estimation with Uncertainty Quantification,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, b67af2d6023d89ebc8d7ecb4d6da19c5b25fb7f8,Conditional Models for 3 D Human Pose Estimation by ATUL KANAUJIA Dissertation Director :,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, b6555e6d52c3c9a7e04bf6debe6a6f476c1c79d5,Rotation Invariant Kernels and Their Application to Shape Analysis,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, +2e1ff08fb5790e3b5ba7864408628467795a9df4,Human Pose Estimation with Fields of Parts,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 2edc6df161f6aadbef9c12408bdb367e72c3c967,Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 2edc6df161f6aadbef9c12408bdb367e72c3c967,Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 2edc6df161f6aadbef9c12408bdb367e72c3c967,Improved Spatiotemporal Local Monogenic Binary Pattern for Emotion Recognition in The Wild,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, @@ -2867,6 +3490,8 @@ b6555e6d52c3c9a7e04bf6debe6a6f476c1c79d5,Rotation Invariant Kernels and Their Ap 2e105974d58cdefcc866c5f6ca73ea033881ddd7,Question Type Guided Attention in Visual Question Answering,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 2e105974d58cdefcc866c5f6ca73ea033881ddd7,Question Type Guided Attention in Visual Question Answering,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 2ed3ce5cf9e262bcc48a6bd998e7fb70cf8a971c,Active AU Based Patch Weighting for Facial Expression Recognition,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +2ed3ce5cf9e262bcc48a6bd998e7fb70cf8a971c,Active AU Based Patch Weighting for Facial Expression Recognition,China,China,China,35.86166000,104.19539700,edu, +2eb37a3f362cffdcf5882a94a20a1212dfed25d9,Local Feature Based Face Recognition,India,India,India,20.59368400,78.96288000,edu, 2e17cf6a339fd071ad222062f868e882ef4120a4,Inferring and Executing Programs for Visual Reasoning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 2e59865aa2ddcecaf9275abcad9b134558c686c2,Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 2e59865aa2ddcecaf9275abcad9b134558c686c2,Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, @@ -2913,15 +3538,20 @@ b6555e6d52c3c9a7e04bf6debe6a6f476c1c79d5,Rotation Invariant Kernels and Their Ap 2e786f3353667b537636fc1912118961e512be88,Visual Tracking of Multiple Humans with Machine Learning based Robustness Enhancement applied to Real-World Robotic Systems,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 2e8eb9dc07deb5142a99bc861e0b6295574d1fbd,Analysis by Synthesis: 3D Object Recognition by Object Reconstruction,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, 2e8eb9dc07deb5142a99bc861e0b6295574d1fbd,Analysis by Synthesis: 3D Object Recognition by Object Reconstruction,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, +2e956e178fd50ab140f30f9255a83d853c8be210,Robust Facial Expression Recognition via Compressive Sensing,China,China,China,35.86166000,104.19539700,edu, 2e231f1e7e641dd3619bec59e14d02e91360ac01,Fusion Network for Face-Based Age Estimation,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, 2e231f1e7e641dd3619bec59e14d02e91360ac01,Fusion Network for Face-Based Age Estimation,Charles Sturt University,Charles Sturt University,"Charles Sturt University, Wagga Wagga, NSW, 2678, Australia",-35.06360710,147.35522340,edu, 2ec55c3fb5fa493ebfacc58115cf28f283a50a02,How to Transfer? Zero-Shot Object Recognition via Hierarchical Transfer of Semantic Attributes,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +2e0bd693d12c43c2e86c7a4d8809445f380c5556,Webcam classification using simple features,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 2e0bd693d12c43c2e86c7a4d8809445f380c5556,Webcam classification using simple features,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 2e222383bd75d3c3961ac073e8aabd3557946601,Unsupervised Video Adaptation for Parsing Human Motion,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 2e222383bd75d3c3961ac073e8aabd3557946601,Unsupervised Video Adaptation for Parsing Human Motion,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 2e222383bd75d3c3961ac073e8aabd3557946601,Unsupervised Video Adaptation for Parsing Human Motion,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +2e222383bd75d3c3961ac073e8aabd3557946601,Unsupervised Video Adaptation for Parsing Human Motion,China,China,China,35.86166000,104.19539700,edu, 2e68f29f26f91985e0ad12b3229e46edefe1e871,Discovering Shades of Attribute Meaning with the Crowd,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +2e8a0cc071017845ee6f67bd0633b8167a47abed,Spatio-temporal covariance descriptors for action and gesture recognition,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 2e8a0cc071017845ee6f67bd0633b8167a47abed,Spatio-temporal covariance descriptors for action and gesture recognition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +2e585adbe1f434396ca6a669dd91914d4d4bf42a,Early Prediction for Physical Human Robot Collaboration in the Operating Room,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2eb1dc9d1cf571462f7bc616b0dc52c8e402e331,"Towards Speech Emotion Recognition ""in the wild"" using Aggregated Corpora and Deep Multi-Task Learning",University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 2e55a287328b234db16fb538eddbbc185d51582a,UTS-CMU-D 2 DCRC Submission at TRECVID 2016 Video Localization,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 2e55a287328b234db16fb538eddbbc185d51582a,UTS-CMU-D 2 DCRC Submission at TRECVID 2016 Video Localization,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -2937,6 +3567,9 @@ b6555e6d52c3c9a7e04bf6debe6a6f476c1c79d5,Rotation Invariant Kernels and Their Ap e24ab3b2a7b5938a48ea3c8c4bc29be2b02299fb,A Face Recognition System for Automated Door Opening with parallel Health Status Validation Using the Kinect v 2,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu, e2113e6c136c87802a35e75122db7e4e57c9774d,Grounding Referring Expressions in Images by Variational Context,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, e2aafdd2f508ee383a0227de9cee00246f251ebf,Face Matching Under Time Pressure and Task Demands,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d,"Image worth Evaluation for False Biometric Detection : Submission to Iris , Fingerprint and Face Recognition",India,India,India,20.59368400,78.96288000,edu, +e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d,"Image worth Evaluation for False Biometric Detection : Submission to Iris , Fingerprint and Face Recognition",India,India,India,20.59368400,78.96288000,edu, +e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d,"Image worth Evaluation for False Biometric Detection : Submission to Iris , Fingerprint and Face Recognition",India,India,India,20.59368400,78.96288000,edu, e22336dc29306ccd938c9a2ae06e3919321dcb8d,Cross-linguistic differences and similarities in image descriptions,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, e20abf7143f4a224824c3db7213049dee2573b4e,An investigation of the relationship between activation of a social cognitive neural network and social functioning.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, e2b093c6ebe4352ba9a1b281c621b798aae8d71c,NNEval: Neural Network Based Evaluation Metric for Image Captioning,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, @@ -2944,9 +3577,11 @@ e2373a719f882842f4ec220d6fcb184a13a3e565,INTEGRATION OF MULTIPLE CUES IN BIOMETR e24a5e843d2ea999393b9f278f4b5c80f8a651d1,Learning to Learn with Compound HD Models,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, e20e2db743e8db1ff61279f4fda32bf8cf381f8e,Deep Cross Polarimetric Thermal-to-Visible Face Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, e2fb33d0ba0fe5e0c33b576e090b10fa4741d12d,Anonymizing k Facial Attributes via Adversarial Perturbations,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, +e2fb33d0ba0fe5e0c33b576e090b10fa4741d12d,Anonymizing k Facial Attributes via Adversarial Perturbations,India,India,India,20.59368400,78.96288000,edu, e20469c66f44e6e18eccc722ef3f74a630d102df,peepHole : Securing your homes with Raspberry Pi and Amazon Echo,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, e20469c66f44e6e18eccc722ef3f74a630d102df,peepHole : Securing your homes with Raspberry Pi and Amazon Echo,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, e20469c66f44e6e18eccc722ef3f74a630d102df,peepHole : Securing your homes with Raspberry Pi and Amazon Echo,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, +e267c813d8804019fbd8e018171dd05255b10fee,PERFORMANCE ANALYSIS OF PCA BASED TECHNIQUES FOR FACE AUTHENTICATION,"National Institute of Technology Silchar, India","National Institute of Technology Silchar, India","NIT Road, Fakiratilla, Silchar, Assam 788010, India",24.75771440,92.79229290,edu, e225a7cbfce4f7c9c29507c04190e6d6b6b46f7f,Label Denoising Adversarial Network ( LDAN ) for Inverse Lighting of Faces,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, e26b87ff2e1553f4ee0d8b657295187abc6f312c,Whodunnit? Crime Drama as a Case for Natural Language Understanding,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, e22adcd2a6a7544f017ec875ce8f89d5c59e09c8,Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, @@ -2963,7 +3598,7 @@ e22406cff5049dec33dcc8c60fa79cbf4c28ab67,Stereo Vision-Based Semantic 3D Object e2bc01813d6ef50194588086e2adea42bdf2323b,The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, e2272f50ffa33b8e41509e4b795ad5a4eb27bb46,Region-based semantic segmentation with end-to-end training,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, e217382ceed42605eb2a9b570c55f9622635e111,Efficient Clothing Retrieval with Semantic-Preserving Visual Phrases,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, -e217382ceed42605eb2a9b570c55f9622635e111,Efficient Clothing Retrieval with Semantic-Preserving Visual Phrases,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +e217382ceed42605eb2a9b570c55f9622635e111,Efficient Clothing Retrieval with Semantic-Preserving Visual Phrases,"University of Technology, Sydney","University of Technology, Sydney, Australia","15 Broadway, Ultimo NSW 2007, Australia",-33.88323760,151.20049420,edu, e224837e5da588438c8e51665f1c253f90be9400,A Fast and Robust Automatic Face Alignment System,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, e2d969752015f90d50a2e85c19d5b391011bc9a3,Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, e2d969752015f90d50a2e85c19d5b391011bc9a3,Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, @@ -2982,6 +3617,7 @@ e2f24d01d7236d60f3829570ae111bedddcf4586,Racial categories in machine learning," e20ab84ac7fa0a5d36d4cf2266b7065c60e1c804,Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, e205faa8febcb7e33c482b00f84939b153575292,An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, e2b2bb648cfb60ee18bd66bc6e8a6f9daf7c9d74,Improving Context Modelling in Multimodal Dialogue Generation,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, +e23a75430f777e982b0715b6f8a048d4bbfea438,Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification,"Indian Institute of Technology Bombay, Mumbai, India","Indian Institute of Technology Bombay, Mumbai, India","Main Gate Rd, IIT Area, Powai, Mumbai, Maharashtra 400076, India",19.13343020,72.91326790,edu, 7e435d78693aec1b87b6f690a8716a60a5e5ff8c,Multimodal sentiment analysis with word-level fusion and reinforcement learning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7e435d78693aec1b87b6f690a8716a60a5e5ff8c,Multimodal sentiment analysis with word-level fusion and reinforcement learning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7e435d78693aec1b87b6f690a8716a60a5e5ff8c,Multimodal sentiment analysis with word-level fusion and reinforcement learning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -3001,7 +3637,9 @@ e2b2bb648cfb60ee18bd66bc6e8a6f9daf7c9d74,Improving Context Modelling in Multimod 7ee610cd384cf1950d6254562e00490ad05eec57,Selecting optimal orientations of Gabor wavelet filters for facial image analysis,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 7e225e3e61527f35b7bf44d47e12cbadfc9441f8,Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 7e186b41f5d2cfdf1940009e61d4e34a47b33c7c,Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" +7ed5dca8725d59714d61ef8e1a14cc4b71c56d3f,Face Sketch to Photo Matching Using LFDA and Pre-Processing,India,India,India,20.59368400,78.96288000,edu, 7e984bbad042b145d1ff8351c4a7c5fb6a81e0b1,Graininess-Aware Deep Feature Learning for Pedestrian Detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +7e984bbad042b145d1ff8351c4a7c5fb6a81e0b1,Graininess-Aware Deep Feature Learning for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu, 7e01ce7a1c14971088afa3ee73f92db451e2c536,A Task-Oriented Approach for Cost-Sensitive Recognition,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 7ebb153704706e457ab57b432793d2b6e5d12592,Faces in Places: compound query retrieval,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 7ee17d2001c9fcef63e3a56610cacc743861d944,Extracting Databases from Dark Data with DeepDive,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -3010,6 +3648,7 @@ e2b2bb648cfb60ee18bd66bc6e8a6f9daf7c9d74,Improving Context Modelling in Multimod 7e18b5f5b678aebc8df6246716bf63ea5d8d714e,Increased Loss Aversion in Unmedicated Patients with Obsessive–Compulsive Disorder,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu, 7e18b5f5b678aebc8df6246716bf63ea5d8d714e,Increased Loss Aversion in Unmedicated Patients with Obsessive–Compulsive Disorder,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu, 7e18b5f5b678aebc8df6246716bf63ea5d8d714e,Increased Loss Aversion in Unmedicated Patients with Obsessive–Compulsive Disorder,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +7e2ff809f2f38eaf070fe36ad054e61c31b6b9e8,"Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks",Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 7e6b11674e989d6a86afda241a51f7fa3790b93e,Distance Preserving Projection Space of Symmetric Positive Definite Manifolds,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 7e6b11674e989d6a86afda241a51f7fa3790b93e,Distance Preserving Projection Space of Symmetric Positive Definite Manifolds,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 7e6b11674e989d6a86afda241a51f7fa3790b93e,Distance Preserving Projection Space of Symmetric Positive Definite Manifolds,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, @@ -3019,6 +3658,7 @@ e2b2bb648cfb60ee18bd66bc6e8a6f9daf7c9d74,Improving Context Modelling in Multimod 7e4b638e028498e900747b600f46cd723f1f231e,Data Augmentation for Visual Question Answering,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 7e51a42049193726e9ac547b76e929d803e441f3,Holistic processing of the mouth but not the eyes in developmental prosopagnosia.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 7e51a42049193726e9ac547b76e929d803e441f3,Holistic processing of the mouth but not the eyes in developmental prosopagnosia.,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, +7e79c3a92f60c55a6970f89acfa152bcf74823e0,Face Recognition using FSS-DSOP for Small Sample Size Problem with Illumination Variations,India,India,India,20.59368400,78.96288000,edu, 7ef41e2be5116912fe8a4906b4fb89ac9dcf819d,A hybrid face recognition method using Markov random fields,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 7e00fb79576fe213853aeea39a6bc51df9fdca16,Online multi-face detection and tracking using detector confidence and structured SVMs,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, 7e467e686f9468b826133275484e0a1ec0f5bde6,Efficient On-the-fly Category Retrieval using ConvNets and GPUs,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -3034,6 +3674,10 @@ e2b2bb648cfb60ee18bd66bc6e8a6f9daf7c9d74,Improving Context Modelling in Multimod 7e1e189fff0b0cef3c231e6b2d01b65bef6027e7,A Concept of Bimodal Visual Emotion Recognition in Computer Users,AGH University of Science and Technology,AGH University of Science and Technology,"AGH, Władysława Reymonta, Czarna Wieś, Krowodrza, Kraków, małopolskie, 30-059, RP",50.06570330,19.91895867,edu, 7ec4b0dc697d87cbda4deb8dcdad24294b21b4e8,Constrained Active Appearance Models,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 7e2cfbfd43045fbd6aabd9a45090a5716fc4e179,Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +7e2cfbfd43045fbd6aabd9a45090a5716fc4e179,Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate,China,China,China,35.86166000,104.19539700,edu, +7e2cfbfd43045fbd6aabd9a45090a5716fc4e179,Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate,China,China,China,35.86166000,104.19539700,edu, +7e2cfbfd43045fbd6aabd9a45090a5716fc4e179,Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate,China,China,China,35.86166000,104.19539700,edu, +7ed1b3a0c270c6cac133e91858e3848d843e1ec2,Principal Component Analysis With Complex Kernels,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7e6f7ce8ec6f62c4bf68f84207973914fc8e79b9,Exploring bounding box context for multi-object tracker fusion,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 7ed5392ad9582662f84b79683678272572225434,Object Localization by Subspace Clustering of Local Descriptors,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 7ed3b79248d92b255450c7becd32b9e5c834a31e,L 1-regularized Logistic Regression Stacking and Transductive CRF Smoothing for Action Recognition in Video,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, @@ -3050,9 +3694,12 @@ fdbacf2ff0fc21e021c830cdcff7d347f2fddd8e,Recognizing Frustration of Drivers From fde41dc4ec6ac6474194b99e05b43dd6a6c4f06f,Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, fd892e912149e3f5ddd82499e16f9ea0f0063fa3,Isyn Initialization Minimizing E ( Φ ) Analysis Synthesis Fitted model Redirection optical ow Warp eyelids Overlay eyeballs Stage 1 : Eye region tracking Stage 2 : Eye gaze redirection Input image Iobs New gaze target g ’ Iobs,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, fd892e912149e3f5ddd82499e16f9ea0f0063fa3,Isyn Initialization Minimizing E ( Φ ) Analysis Synthesis Fitted model Redirection optical ow Warp eyelids Overlay eyeballs Stage 1 : Eye region tracking Stage 2 : Eye gaze redirection Input image Iobs New gaze target g ’ Iobs,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +fd892e912149e3f5ddd82499e16f9ea0f0063fa3,Isyn Initialization Minimizing E ( Φ ) Analysis Synthesis Fitted model Redirection optical ow Warp eyelids Overlay eyeballs Stage 1 : Eye region tracking Stage 2 : Eye gaze redirection Input image Iobs New gaze target g ’ Iobs,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, fdff2da5bdca66e0ab5874ef58ac2205fb088ed7,Continuous Supervised Descent Method for Facial Landmark Localisation,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu, fdff2da5bdca66e0ab5874ef58ac2205fb088ed7,Continuous Supervised Descent Method for Facial Landmark Localisation,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, fdff2da5bdca66e0ab5874ef58ac2205fb088ed7,Continuous Supervised Descent Method for Facial Landmark Localisation,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, +fd8bb112b197e23183feeb6d1f4506d180caa4fc,Fashion Clothes Matching Scheme Learned from Fashionista ’ S Suggestions in Microblog,China,China,China,35.86166000,104.19539700,edu, +fd8bb112b197e23183feeb6d1f4506d180caa4fc,Fashion Clothes Matching Scheme Learned from Fashionista ’ S Suggestions in Microblog,China,China,China,35.86166000,104.19539700,edu, fdfceb0fd9561723e604bed586bca9a8450c207e,Graph R-CNN for Scene Graph Generation,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, fdf8e293a7618f560e76bd83e3c40a0788104547,Interspecies Knowledge Transfer for Facial Keypoint Detection,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, fdf8e293a7618f560e76bd83e3c40a0788104547,Interspecies Knowledge Transfer for Facial Keypoint Detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, @@ -3064,7 +3711,9 @@ fdabbcb3b49201a942fd36836563ef4ead86bc28,End-to-end learning potentials for stru fd7b6c77b46420c27725757553fcd1fb24ea29a8,MEXSVMs : Mid-level Features for Scalable Action Recognition,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, fd9d7efd0ecff49249844a0096e77b2f864fae0d,Language Guided Fashion Image Manipulation with Feature-wise Transformations,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu, fd67d0efbd94c9d8f9d2f0a972edd7320bc7604f,Real-Time Semantic Clothing Segmentation,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +fd67b9812fa4aef6c5dfb633df4406105cdb4e8f,Zero-Shot Learning with Generative Latent Prototype Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, fd36e838ffc2f56afdbd87a98f1dc4e05d20ed33,Robot-Centric Activity Recognition 'in the Wild',University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +fd6d2e4f939b8d804a6b5908bded8f1ad2563e38,Stabilizing GAN Training with Multiple Random Projections,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, fd53be2e0a9f33080a9db4b5a5e416e24ae8e198,Apparent Age Estimation Using Ensemble of Deep Learning Models,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, fdcc1e66697a724bd2d0d2da368de04a7eaf9209,The Devil is in the Decoder,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, fdcc1e66697a724bd2d0d2da368de04a7eaf9209,The Devil is in the Decoder,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA" @@ -3076,16 +3725,19 @@ fded99a29bfa03d02709dd23f49b04ce3840af51,Every Smile is Unique: Landmark-Guided fd6dc84da8c4512e208f355a2752743659fbe43f,Deep Fisher discriminant learning for mobile hand gesture recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, fd6dc84da8c4512e208f355a2752743659fbe43f,Deep Fisher discriminant learning for mobile hand gesture recognition,China University of Mining and Technology,China University of Mining and Technology,"China University of Mining and Technology, 1号, 大学路, 泉山区 (Quanshan), 徐州市 / Xuzhou, 江苏省, 221116, 中国",34.21525380,117.13985410,edu, fd6dc84da8c4512e208f355a2752743659fbe43f,Deep Fisher discriminant learning for mobile hand gesture recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +fd6dc84da8c4512e208f355a2752743659fbe43f,Deep Fisher discriminant learning for mobile hand gesture recognition,China,China,China,35.86166000,104.19539700,edu, fd451222670d2f185ae3211b5450fd6951e6af51,Surface Normals with Modular Approach and Weighted Voting Scheme in 3 D Facial Expression Classification,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, fd451222670d2f185ae3211b5450fd6951e6af51,Surface Normals with Modular Approach and Weighted Voting Scheme in 3 D Facial Expression Classification,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu, fd7173634abac857405c78564e366c311a1cf4b3,Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, fd7e10df0a8f4e6e9ed075cfa663c358b9481c3c,Simultaneous Stereo Video Deblurring and Scene Flow Estimation,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, fd7e10df0a8f4e6e9ed075cfa663c358b9481c3c,Simultaneous Stereo Video Deblurring and Scene Flow Estimation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +fd7e10df0a8f4e6e9ed075cfa663c358b9481c3c,Simultaneous Stereo Video Deblurring and Scene Flow Estimation,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu, fd18475cf9165b33de1587a303fc68c5e77ed630,Visual Question Answering Using Various Methods,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, fdc0754852b9c8366341972f1b5b4320b48d64a9,Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, fd33df02f970055d74fbe69b05d1a7a1b9b2219b,Single Shot Temporal Action Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, fd33df02f970055d74fbe69b05d1a7a1b9b2219b,Single Shot Temporal Action Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, fd71ae9599e8a51d8a61e31e6faaaf4a23a17d81,Action Detection from a Robot-Car Perspective,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, +fd71ae9599e8a51d8a61e31e6faaaf4a23a17d81,Action Detection from a Robot-Car Perspective,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural Networks,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 5cfbeae360398de9e20e4165485837bd42b93217,Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach,Firat University,Firat University,"Erzincan Üniversitesi Hukuk Fakültesi Dekanlığı, Sivas-Erzincan yolu, Üçkonak, Erzincan, Erzincan merkez, Erzincan, Doğu Anadolu Bölgesi, 24000, Türkiye",39.72750370,39.47127034,edu, 5cfbeae360398de9e20e4165485837bd42b93217,Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach,Firat University,Firat University,"Erzincan Üniversitesi Hukuk Fakültesi Dekanlığı, Sivas-Erzincan yolu, Üçkonak, Erzincan, Erzincan merkez, Erzincan, Doğu Anadolu Bölgesi, 24000, Türkiye",39.72750370,39.47127034,edu, @@ -3095,22 +3747,30 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 5c820e47981d21c9dddde8d2f8020146e600368f,Extended Supervised Descent Method for Robust Face Alignment,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 5c4d4fd37e8c80ae95c00973531f34a6d810ea3a,The Open World of Micro-Videos,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5cb83eba8d265afd4eac49eb6b91cdae47def26d,Face Recognition with Local Line Binary Pattern,Mahanakorn University of Technology,Mahanakorn University of Technology,"มหาวิทยาลัยเทคโนโลยีมหานคร, 140, ถนนเชื่อมสัมพันธ์, กรุงเทพมหานคร, เขตหนองจอก, กรุงเทพมหานคร, 10530, ประเทศไทย",13.84450465,100.85620818,edu, +5cbed05521a44b568c77879fb0b84e1fa27d12e0,Gait-Based Recognition of Humans Using Continuous HMMs,India,India,India,20.59368400,78.96288000,edu, +5c92355b2808621d237a89dc7b3faa5cdb990ab5,Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 5c92355b2808621d237a89dc7b3faa5cdb990ab5,Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 5cd2a7ec2b47086b1e9ff6ebc096eae5e03d2f67,Simultaneous super-resolution and feature extraction for recognition of low-resolution faces,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5c9407da2525a9f71be4bc01b2e72a877ee800ea,Spatio-temporal Embedding for Statistical Face Recognition from Video,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +5c9407da2525a9f71be4bc01b2e72a877ee800ea,Spatio-temporal Embedding for Statistical Face Recognition from Video,China,China,China,35.86166000,104.19539700,edu, 5c9407da2525a9f71be4bc01b2e72a877ee800ea,Spatio-temporal Embedding for Statistical Face Recognition from Video,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, +5cf549ca5680491f12a5ac5d42b171a64088da22,FRVT 2006: Quo Vidas Face Quality,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 5cf549ca5680491f12a5ac5d42b171a64088da22,FRVT 2006: Quo Vidas Face Quality,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, 5cf549ca5680491f12a5ac5d42b171a64088da22,FRVT 2006: Quo Vidas Face Quality,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, 5cf549ca5680491f12a5ac5d42b171a64088da22,FRVT 2006: Quo Vidas Face Quality,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, 5cbef6da9c2cc630722f1e48a59c3aa84a00c44a,Binary Pattern Analysis for 3D Facial Action Unit Detection,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 5cbef6da9c2cc630722f1e48a59c3aa84a00c44a,Binary Pattern Analysis for 3D Facial Action Unit Detection,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +5c812e8968b88c25d18a066f8a28c0421555d2c9,Highly-Economized Multi-view Binary Compression for Scalable Image Clustering,Harbin Institute of Technology (Shenzhen),Harbin Institute of Technology (Shenzhen),"China, Guangdong, Shenzhen, Nanshan, 平山一路",22.58675200,113.96878000,edu, 5c812e8968b88c25d18a066f8a28c0421555d2c9,Highly-Economized Multi-view Binary Compression for Scalable Image Clustering,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +5c812e8968b88c25d18a066f8a28c0421555d2c9,Highly-Economized Multi-view Binary Compression for Scalable Image Clustering,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 5c812e8968b88c25d18a066f8a28c0421555d2c9,Highly-Economized Multi-view Binary Compression for Scalable Image Clustering,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0,Reference Face Graph for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5ce2cb4c76b0cdffe135cf24b9cda7ae841c8d49,Facial Expression Intensity Estimation Using Ordinal Information,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, 5ce2cb4c76b0cdffe135cf24b9cda7ae841c8d49,Facial Expression Intensity Estimation Using Ordinal Information,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +5c5304b79ebc2afd28ade6bb88daa80144ae3587,Review of Human-Robot Interactive Modelling and Application for Elders,China,China,China,35.86166000,104.19539700,edu, 5c97cef9cebf101b74699f583f3e324aebccde32,Multi-view multi-modal person authentication from a single walking image sequence,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 5cac869f7e47c290ba14d27a5d6b5aadaddfaa69,Semantically Selective Augmentation for Deep Compact Person Re-Identification,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, -5c3d8cf726f17bbb326551253c810429d332d3f3,Complementing the Execution of AI Systems with Human Computation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +5c3d8cf726f17bbb326551253c810429d332d3f3,Complementing the Execution of AI Systems with Human Computation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 5c3d8cf726f17bbb326551253c810429d332d3f3,Complementing the Execution of AI Systems with Human Computation,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 5c6215a32fa943d07cd2d0401d646f93faaf34e1,Latent Semantic Representation Learning for Scene Classification,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 5c789a504d8d7192b82f5f5a323b6c55ef2d0c6c,Addressing Ambiguity In Object Instance Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -3118,6 +3778,7 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 5c789a504d8d7192b82f5f5a323b6c55ef2d0c6c,Addressing Ambiguity In Object Instance Detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 5c36d8bb0815fd4ff5daa8351df4a7e2d1b32934,GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5c9cfeb77f7e5040a4ca3775e524247a0bcb73db,The truth about cats and dogs,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +5c9cfeb77f7e5040a4ca3775e524247a0bcb73db,The truth about cats and dogs,India,India,India,20.59368400,78.96288000,edu, 5c9cfeb77f7e5040a4ca3775e524247a0bcb73db,The truth about cats and dogs,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 5cbe1445d683d605b31377881ac8540e1d17adf0,On 3D face reconstruction via cascaded regression in shape space,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, 5c48d6ea9b022c077b1873ec48ea4f37a91ac77a,A structural filter approach to human detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -3128,6 +3789,8 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 5c7019fdbcc1a89d4a75ba88565d9ea8324579f4,Face recognition with image sets using manifold density divergence,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 5ca14fa73da37855bfa880b549483ee2aba26669,Face Recognition under Varying Illuminations Using Local Binary Pattern And Local Ternary Pattern Fusion,Punjabi University Patiala,Punjabi University Patiala,"Punjabi University Patiala, Rajpura Road, Patiala, Punjab, 147001, India",30.35689810,76.45512720,edu, 5ca14fa73da37855bfa880b549483ee2aba26669,Face Recognition under Varying Illuminations Using Local Binary Pattern And Local Ternary Pattern Fusion,Punjabi University Patiala,Punjabi University Patiala,"Punjabi University Patiala, Rajpura Road, Patiala, Punjab, 147001, India",30.35689810,76.45512720,edu, +5c3dce55c61ee86073575ac75cc882a215cb49e6,Neural Codes for Image Retrieval,Russia,Russia,Russia,61.52401000,105.31875600,edu, +5c3dce55c61ee86073575ac75cc882a215cb49e6,Neural Codes for Image Retrieval,Russia,Russia,Russia,61.52401000,105.31875600,edu, 5c3dce55c61ee86073575ac75cc882a215cb49e6,Neural Codes for Image Retrieval,"Moscow Institute of Physics and Technology, Russia","Moscow Institute of Physics and Technology, Russia","МФТИ, 9, Институтский переулок, Виноградовские Горки, Лихачёво, Долгопрудный, городской округ Долгопрудный, Московская область, ЦФО, 141700, РФ",55.92903500,37.51866808,edu, 5cb8fe6b51813600d5b43a63ca4b8c1cb1237793,PortraitGAN for Flexible Portrait Manipulation,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 5c8672c0d2f28fd5d2d2c4b9818fcff43fb01a48,Robust Face Detection by Simple Means,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, @@ -3136,13 +3799,22 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 5c8ae37d532c7bb8d7f00dfde84df4ba63f46297,DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 5ce84883ab78e7e61a4e84a80cce8c86265f6ae9,Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons,Villanova University,Villanova University,"Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA",40.03677740,-75.34202332,edu, 5c707dc74c3c39674f74dc22f6b6325af456811c,Restoring occluded regions using FW-PCA for face recognition,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, +5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,China,China,China,35.86166000,104.19539700,edu, +5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,China,China,China,35.86166000,104.19539700,edu, +5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,China,China,China,35.86166000,104.19539700,edu, +5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,China,China,China,35.86166000,104.19539700,edu, +5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,China,China,China,35.86166000,104.19539700,edu, +5cfa8d0384bcdf5dfd7501561c748e69f3a2a747,Lip AUs Detection by Boost-SVM and Gabor,China,China,China,35.86166000,104.19539700,edu, 5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,China,China,China,35.86166000,104.19539700,edu, 5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +5ca23ceb0636dfc34c114d4af7276a588e0e8dac,Texture representation in AAM using Gabor wavelet and local binary patterns,China,China,China,35.86166000,104.19539700,edu, 5cca59b7d9f3680cf921ca848065dbc97d9ccd76,Discriminative techniques for the recognition of complex-shaped objects,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5cca59b7d9f3680cf921ca848065dbc97d9ccd76,Discriminative techniques for the recognition of complex-shaped objects,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 5cca59b7d9f3680cf921ca848065dbc97d9ccd76,Discriminative techniques for the recognition of complex-shaped objects,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, +5c77901df1e0f52a9774b39e730c31afbc1214a7,Learning Social Tag Relevance by Neighbor Voting,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5c4c5094f383544aacff6bfefce7f358ceb894bf,Weighting and normalisation of synchronous HMMs for audio-visual speech recognition,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 5c6841db352d54ba6e18f362b8cc6509a15a8fd3,Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu, 5c70bca2b3dd0a47b6259d384a709be55a60369e,Model-based approaches for predicting gait changes over time,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, @@ -3159,21 +3831,29 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 7fa3d4be12e692a47b991c0b3d3eba3a31de4d05,Efficient Online Spatio-Temporal Filtering for Video Event Detection,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 7fd700f4a010d765c506841de9884df394c1de1c,Correlational spectral clustering,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu, 7f44f2d7b4a84b6d87dd6f7089ce3ee1e6359272,What's in the Chinese Babyface? Cultural Differences in Understanding the Babyface,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +7f44f2d7b4a84b6d87dd6f7089ce3ee1e6359272,What's in the Chinese Babyface? Cultural Differences in Understanding the Babyface,China,China,China,35.86166000,104.19539700,edu, 7f44f2d7b4a84b6d87dd6f7089ce3ee1e6359272,What's in the Chinese Babyface? Cultural Differences in Understanding the Babyface,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 7f44f2d7b4a84b6d87dd6f7089ce3ee1e6359272,What's in the Chinese Babyface? Cultural Differences in Understanding the Babyface,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, 7fd73c91462153e16d207faa8ec0e3f507c72ae5,Multi-Sample Fusion with Template Protection.,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 7fd358a0eba775fe9d87f165cb2074fa8fa762e0,Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 7fd4e67938d02452e256c69822285778f95eb045,2 LBPM and GEFE 2 . 1 The LBPM for Feature Extraction,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, +7f2a4cd506fe84dee26c0fb41848cb219305173f,SERSC Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection,China,China,China,35.86166000,104.19539700,edu, 7f2a4cd506fe84dee26c0fb41848cb219305173f,SERSC Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +7f2a4cd506fe84dee26c0fb41848cb219305173f,SERSC Face Detection and Pose Estimation Based on Evaluating Facial Feature Selection,China,China,China,35.86166000,104.19539700,edu, 7fa5ede4a34dbe604ce317d529eed78db6642bc0,Soft Proposal Networks for Weakly Supervised Object Localization,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 7fa5ede4a34dbe604ce317d529eed78db6642bc0,Soft Proposal Networks for Weakly Supervised Object Localization,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +7ff1c4e0ad0dae92d4f25b93783fadde8f07276d,An efficient example-based approach for image super-resolution,China,China,China,35.86166000,104.19539700,edu, +7ff1c4e0ad0dae92d4f25b93783fadde8f07276d,An efficient example-based approach for image super-resolution,China,China,China,35.86166000,104.19539700,edu, +7ffa7a36e5414a0f2b16b1d8f93442ab15e2235d,"The CMU Pose, Illumination, and Expression Database",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7f8798204ad34d904f9465ce9e97050d0472dbf8,Fully Convolutional Network for Depth Estimation and Semantic Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 7f8798204ad34d904f9465ce9e97050d0472dbf8,Fully Convolutional Network for Depth Estimation and Semantic Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 7f8798204ad34d904f9465ce9e97050d0472dbf8,Fully Convolutional Network for Depth Estimation and Semantic Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 7f8d44e7fd2605d580683e47bb185de7f9ea9e28,Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, -7f8d44e7fd2605d580683e47bb185de7f9ea9e28,Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +7f8d44e7fd2605d580683e47bb185de7f9ea9e28,Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 7f8d44e7fd2605d580683e47bb185de7f9ea9e28,Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu, 7f6599e674a33ed64549cd512ad75bdbd28c7f6c,Kernel Alignment Inspired Linear Discriminant Analysis,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, +7ffef9f26c39377ee937d29b8990580266a7a8a5,Deep Metric Learning with Hierarchical Triplet Loss,China,China,China,35.86166000,104.19539700,edu, +7ffef9f26c39377ee937d29b8990580266a7a8a5,Deep Metric Learning with Hierarchical Triplet Loss,China,China,China,35.86166000,104.19539700,edu, 7ffef9f26c39377ee937d29b8990580266a7a8a5,Deep Metric Learning with Hierarchical Triplet Loss,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, 7f9832031d61c46f051dad9a0d421338888b6b00,Convolutional Social Pooling for Vehicle Trajectory Prediction,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 7f23a4bb0c777dd72cca7665a5f370ac7980217e,Improving Person Re-identification by Attribute and Identity Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, @@ -3181,6 +3861,7 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 7f310839e62c2623f6267b533047b323f61d2b27,Learning to Combine Kernels for Object Categorization,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 7f310839e62c2623f6267b533047b323f61d2b27,Learning to Combine Kernels for Object Categorization,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 7f310839e62c2623f6267b533047b323f61d2b27,Learning to Combine Kernels for Object Categorization,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +7f511a6a2b38a26f077a5aec4baf5dffc981d881,Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network,China,China,China,35.86166000,104.19539700,edu, 7fab17ef7e25626643f1d55257a3e13348e435bd,Age Progression/Regression by Conditional Adversarial Autoencoder,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, 7fbf1885f27fb72d5e553c4a2147375f928465ee,Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 7fbf1885f27fb72d5e553c4a2147375f928465ee,Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, @@ -3188,9 +3869,11 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 7f57e9939560562727344c1c987416285ef76cda,Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7f57e9939560562727344c1c987416285ef76cda,Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7f57e9939560562727344c1c987416285ef76cda,Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu, +7ff0ad5c34f02b9c394ed0d8a3db9c270dc70e44,Learning a temporally invariant representation for visual tracking,China,China,China,35.86166000,104.19539700,edu, 7f82f8a416170e259b217186c9e38a9b05cb3eb4,Multi-Attribute Robust Component Analysis for Facial UV Maps,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 7f82f8a416170e259b217186c9e38a9b05cb3eb4,Multi-Attribute Robust Component Analysis for Facial UV Maps,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu, 7f82f8a416170e259b217186c9e38a9b05cb3eb4,Multi-Attribute Robust Component Analysis for Facial UV Maps,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +7f65bbc93cf414d4889773b697b1833e85f0a15f,Neural Perspective to Jigsaw Puzzle Solving,India,India,India,20.59368400,78.96288000,edu, 7f205b9fca7e66ac80758c4d6caabe148deb8581,Collection Inference Engines Single Modality MultiModality Mobile ' Device ' Cloud ' Infrastructure ' Auditory Physical Activity Gesture & Posture Facial Cues Environment & Space Device Usage Physiological Stress Emotion Mood Personality Traits Dominance,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 7f205b9fca7e66ac80758c4d6caabe148deb8581,Collection Inference Engines Single Modality MultiModality Mobile ' Device ' Cloud ' Infrastructure ' Auditory Physical Activity Gesture & Posture Facial Cues Environment & Space Device Usage Physiological Stress Emotion Mood Personality Traits Dominance,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 7f205b9fca7e66ac80758c4d6caabe148deb8581,Collection Inference Engines Single Modality MultiModality Mobile ' Device ' Cloud ' Infrastructure ' Auditory Physical Activity Gesture & Posture Facial Cues Environment & Space Device Usage Physiological Stress Emotion Mood Personality Traits Dominance,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, @@ -3200,6 +3883,9 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 7fce5769a7d9c69248178989a99d1231daa4fce9,Towards Face Recognition Using Eigenface,King Faisal University,King Faisal University,"University of Dammam, King Faisal Rd, العقربية, الخبر, المنطقة الشرقية, ٣١٩٥٢, السعودية",26.39777800,50.18305600,edu, 7fc76446d2b11fc0479df6e285723ceb4244d4ef,Laplacian MinMax Discriminant Projection and its Applications,Zhejiang Normal University,Zhejiang Normal University,"浙江师范大学, 688, 迎宾大道, 柳湖花园, 金华市, 婺城区 (Wucheng), 金华市 / Jinhua, 浙江省, 321004, 中国",29.13646725,119.63768652,edu, 7fc76446d2b11fc0479df6e285723ceb4244d4ef,Laplacian MinMax Discriminant Projection and its Applications,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +7fa4e972da46735971aad52413d17c4014c49e6e,How to Train Triplet Networks with 100K Identities?,China,China,China,35.86166000,104.19539700,edu, +7fa4e972da46735971aad52413d17c4014c49e6e,How to Train Triplet Networks with 100K Identities?,China,China,China,35.86166000,104.19539700,edu, +7fa4e972da46735971aad52413d17c4014c49e6e,How to Train Triplet Networks with 100K Identities?,China,China,China,35.86166000,104.19539700,edu, 7fb5006b6522436ece5bedf509e79bdb7b79c9a7,Multi-Task Convolutional Neural Network for Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2,Robust FEC-CNN: A High Accuracy Facial Landmark Detection System,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 7fcfd72ba6bc14bbb90b31fe14c2c77a8b220ab2,Robust FEC-CNN: A High Accuracy Facial Landmark Detection System,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, @@ -3225,7 +3911,12 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 7fc3442c8b4c96300ad3e860ee0310edb086de94,Similarity scores based on background samples,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu, 7fc5b6130e9d474dfb49d9612b6aa0297d481c8e,Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 7fc5b6130e9d474dfb49d9612b6aa0297d481c8e,Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,India,India,India,20.59368400,78.96288000,edu, +7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,India,India,India,20.59368400,78.96288000,edu, +7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,India,India,India,20.59368400,78.96288000,edu, +7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,India,India,India,20.59368400,78.96288000,edu, 7fbdb1d05a34d28b7f93544248edf7a2e0b8cd15,POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, +7f268f29d2c8f58cea4946536f5e2325777fa8fa,Facial Emotion Recognition in Curvelet Domain,India,India,India,20.59368400,78.96288000,edu, 3373ca46fa2c19112aebd772983ce70183ac1690,"Cognition and Behavior Somatosensory Representations Link the Perception of Emotional Expressions and Sensory Experience 1 , 2 , 3",Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 3342018e8defb402896d2133cda0417e49f1e9aa,Face Verification Across Age Progression,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 334e559e8decadcedbe8e495b3f5430536cff32c,"The Attentional Suppressive Surround: Eccentricity, Location-Based and Feature-Based Effects and Interactions",York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, @@ -3234,6 +3925,7 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 334e559e8decadcedbe8e495b3f5430536cff32c,"The Attentional Suppressive Surround: Eccentricity, Location-Based and Feature-Based Effects and Interactions",University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu, 334e65b31ad51b1c1f84ce12ef235096395f1ca7,2 Emotion in Human-Computer Interaction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 337dd4aaca2c5f9b5d2de8e0e2401b5a8feb9958,Data-specific Adaptive Threshold for Face Recognition and Authentication,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, +3316521a5527c7700af8ae6aef32a79a8b83672c,People-tracking-by-detection and people-detection-by-tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 33d682c52eb24875c556ec007bc38068d3e682c0,VisDA: The Visual Domain Adaptation Challenge,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 33d682c52eb24875c556ec007bc38068d3e682c0,VisDA: The Visual Domain Adaptation Challenge,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 33f73cf297065ace7f27e8d449765f1c51ef163c,Determining Interacting Objects in Human-Centric Activities via Qualitative Spatio-Temporal Reasoning,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, @@ -3241,11 +3933,15 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 33737f966cca541d5dbfb72906da2794c692b65b,Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu, 33737f966cca541d5dbfb72906da2794c692b65b,Spotting Audio-Visual Inconsistencies (SAVI) in Manipulated Video,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 332740a7ababbfa0dbc974433bd5a213197c0dd1,Spectral error correcting output codes for efficient multiclass recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +332740a7ababbfa0dbc974433bd5a213197c0dd1,Spectral error correcting output codes for efficient multiclass recognition,China,China,China,35.86166000,104.19539700,edu, 33594e1bfe93fc6c74c2bcfc1bc39c524fa9e2ca,Alternating Regression Forests for Object Detection and Pose Estimation,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 33ef419dffef85443ec9fe89a93f928bafdc922e,SelfKin: Self Adjusted Deep Model For Kinship Verification,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu, +333e7ad7f915d8ee3bb43a93ea167d6026aa3c22,3D Assisted Face Recognition: Dealing With Expression Variations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 33f3b212d665d769a209b7a278dd9907ae2be952,Recognising Human-Object Interaction via Exemplar Based Modelling,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 33f3b212d665d769a209b7a278dd9907ae2be952,Recognising Human-Object Interaction via Exemplar Based Modelling,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +33f3b212d665d769a209b7a278dd9907ae2be952,Recognising Human-Object Interaction via Exemplar Based Modelling,China,China,China,35.86166000,104.19539700,edu, 33f3b212d665d769a209b7a278dd9907ae2be952,Recognising Human-Object Interaction via Exemplar Based Modelling,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +33e4844a95bc2df4619e6d43bd009b24a20fb79a,Automatic Face Detection Using Color Based Segmentation and Computing Eigen face,India,India,India,20.59368400,78.96288000,edu, 33f2761d08da1c5b1b6a8f65ee6930075cf9927e,Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, 33f2761d08da1c5b1b6a8f65ee6930075cf9927e,Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, 33e1398b73c9789debed1168536c93632c6f3f10,Efficiently Scaling Out-of-Order Cores for Simultaneous Multithreading,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, @@ -3253,6 +3949,7 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 33526226231cce669317ece44e6af262b8395dd9,CRF-CNN: Modeling Structured Information in Human Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 33526226231cce669317ece44e6af262b8395dd9,CRF-CNN: Modeling Structured Information in Human Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 33526226231cce669317ece44e6af262b8395dd9,CRF-CNN: Modeling Structured Information in Human Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +3326838b53788bdb79d3b37b3ddad6a619ce53b1,Recent Advances in the Automatic Recognition of Audio-Visual Speech,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 33abfe693258a4e00467494b11ee4d523379ab6b,Local Discriminant Embedding with Tensor Representation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, 33c3702b0eee6fc26fc49f79f9133f3dd7fa3f13,Machine learning techniques for automated analysis of facial expressions,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 3394168ff0719b03ff65bcea35336a76b21fe5e4,Object Detection Combining Recognition and Segmentation,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, @@ -3264,17 +3961,23 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 33ac7fd3a622da23308f21b0c4986ae8a86ecd2b,Building an On-Demand Avatar-Based Health Intervention for Behavior Change,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, 3312eb79e025b885afe986be8189446ba356a507,MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes,University of Colorado at Colorado Springs,University of Colorado at Colorado Springs,"1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA",38.89646790,-104.80505940,edu, 33f885a7e1369128534aa5f3b867bd42de9ec683,Annotation and taxonomy of gestures in lecture videos,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +3352426a67eabe3516812cb66a77aeb8b4df4d1b,Joint Multi-view Face Alignment in the Wild,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3399f8f0dff8fcf001b711174d29c9d4fde89379,Face R-CNN,Tencent,"Tencent AI Lab, China","Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057",22.54471540,113.93571640,company,"Keji Middle 1st Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057" 3349fab3a5e2b7c5194289bdc839f87f556ea3ef,Social Image Tags as a Source of Word Embeddings: A Task-oriented Evaluation,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, 33f7e78950455c37236b31a6318194cfb2c302a4,Parameterizing Object Detectors in the Continuous Pose Space,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, +33f7e78950455c37236b31a6318194cfb2c302a4,Parameterizing Object Detectors in the Continuous Pose Space,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu, 33402ee078a61c7d019b1543bb11cc127c2462d2,Self-Supervised Video Representation Learning with Odd-One-Out Networks,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 336067ade694c79b5838b2e8158acf18546bc5a5,Visually-Aware Personalized Recommendation using Interpretable Image Representations,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 336067ade694c79b5838b2e8158acf18546bc5a5,Visually-Aware Personalized Recommendation using Interpretable Image Representations,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu, +33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,India,India,India,20.59368400,78.96288000,edu, 33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu, +33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,India,India,India,20.59368400,78.96288000,edu, 33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu, +33548531f9ed2ce6f87b3a1caad122c97f1fd2e9,Facial Expression Recognition in Video using Adaboost and SVM,India,India,India,20.59368400,78.96288000,edu, 33aff42530c2fd134553d397bf572c048db12c28,From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, 33aff42530c2fd134553d397bf572c048db12c28,From Emotions to Action Units with Hidden and Semi-Hidden-Task Learning,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, +33a4744818b2847d7d3650bd547932cdcddc2f04,Sparse Polynomial Mapping for Manifold Learning,China,China,China,35.86166000,104.19539700,edu, 3303f6694fa1c48afbd6e104b72e98b7f52b1651,Perceptual Adversarial Networks for Image-to-Image Transformation,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 3303f6694fa1c48afbd6e104b72e98b7f52b1651,Perceptual Adversarial Networks for Image-to-Image Transformation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 33030c23f6e25e30b140615bb190d5e1632c3d3b,Toward a General Framework for Words and Pictures,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, @@ -3291,19 +3994,28 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 337e67c8c5247695bb384c35272beaf47d464c75,Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, 33f2b44742cc828347ccc5ec488200c25838b664,Pooling the Convolutional Layers in Deep ConvNets for Action Recognition,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 33f2b44742cc828347ccc5ec488200c25838b664,Pooling the Convolutional Layers in Deep ConvNets for Action Recognition,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, +334166a942acb15ccc4517cefde751a381512605,Facial Expression Analysis using Deep Learning,India,India,India,20.59368400,78.96288000,edu, 335af998fd86806422a4500ee6defc26df8a5388,Nonlinear Dimensionality Reduction Applied to the Binary Classification of Images,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 335af998fd86806422a4500ee6defc26df8a5388,Nonlinear Dimensionality Reduction Applied to the Binary Classification of Images,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +33a1a049d15e22befc7ddefdd3ae719ced8394bf,An Efficient Approach to Facial Feature Detection for Expression Recognition,India,India,India,20.59368400,78.96288000,edu, +33a1a049d15e22befc7ddefdd3ae719ced8394bf,An Efficient Approach to Facial Feature Detection for Expression Recognition,India,India,India,20.59368400,78.96288000,edu, 33867c617e9f264c9e857d73358e0fd5b60a149a,Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 33867c617e9f264c9e857d73358e0fd5b60a149a,Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, +33867c617e9f264c9e857d73358e0fd5b60a149a,Face Reconstruction on Mobile Devices Using a Height Map Shape Model and Fast Regularization,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 331429a6994b73c25ca0c4d0e2794e9119ac870c,Sidestepping Intractable Inference with Structured Ensemble Cascades,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 334ac2a459190b41923be57744aa6989f9a54a51,Apples to Oranges: Evaluating Image Annotations from Natural Language Processing Systems,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +3356074f4896bf2af7f46749fdc212a99d4932a6,Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 3356074f4896bf2af7f46749fdc212a99d4932a6,Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 3356074f4896bf2af7f46749fdc212a99d4932a6,Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu, +3356074f4896bf2af7f46749fdc212a99d4932a6,Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 33d1767600148d3c51b7fffcdfbab48e570620d5,An RRT-based navigation approach for mobile robots and automated vehicles,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu, +33d1767600148d3c51b7fffcdfbab48e570620d5,An RRT-based navigation approach for mobile robots and automated vehicles,"Coimbra, Portugal","Coimbra, Portugal","Coimbra, Portugal",40.20331450,-8.41025730,edu, +333aa36e80f1a7fa29cf069d81d4d2e12679bc67,Suggesting Sounds for Images from Video Collections,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 33801601485eaa27b838a17e073d81796d8b78d9,A Method to Track Targets in Three-Dimensional Space Using an Imaging Sonar,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 333f083671da1010cbb080c6ce607ed87c19d73d,Multiple Instance Learning Convolutional Neural Networks for object recognition,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 333f083671da1010cbb080c6ce607ed87c19d73d,Multiple Instance Learning Convolutional Neural Networks for object recognition,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, 33ba256d59aefe27735a30b51caf0554e5e3a1df,Early active learning via robust representation and structured sparsity,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, +336b2ae3e4db996538f930b754f7d233af56a628,Learning local descriptors by optimizing the keypoint-correspondence criterion,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu, 33595d1135d9eecbda62bc568d2545aa3161276d,Resampling for Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 8d879f4aa3284aca8d671d8360c6b6f2f0f07a23,Non-local RoIs for Instance Segmentation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 8d879f4aa3284aca8d671d8360c6b6f2f0f07a23,Non-local RoIs for Instance Segmentation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, @@ -3324,21 +4036,34 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 8d0dffcf36e76ebbb5ff9389750264d9fb77265f,Comparison of Visual Datasets for Machine Learning,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 8d0dffcf36e76ebbb5ff9389750264d9fb77265f,Comparison of Visual Datasets for Machine Learning,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, 8d0dffcf36e76ebbb5ff9389750264d9fb77265f,Comparison of Visual Datasets for Machine Learning,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu, +8def62fd86b5ea0a41fd9f892bd95b01bf072e88,A hybrid approach to content based image retrieval using visual features and textual queries,India,India,India,20.59368400,78.96288000,edu, +8def62fd86b5ea0a41fd9f892bd95b01bf072e88,A hybrid approach to content based image retrieval using visual features and textual queries,India,India,India,20.59368400,78.96288000,edu, 8da1b0834688edb311a803532e33939e9ecf8292,CornerNet: Detecting Objects as Paired Keypoints,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +8d19cfe643582fae03ce024efaf117d1efef5e58,A Robust Likelihood Function for 3D Human Pose Tracking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8d22e3641d8e684ecfad6eee5e2ca414ee3728e2,INTERACTIVE CLOTHING SEGMENTATION BASED ON JSEG AND GRABCUT,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +8d22e3641d8e684ecfad6eee5e2ca414ee3728e2,INTERACTIVE CLOTHING SEGMENTATION BASED ON JSEG AND GRABCUT,China,China,China,35.86166000,104.19539700,edu, +8d22e3641d8e684ecfad6eee5e2ca414ee3728e2,INTERACTIVE CLOTHING SEGMENTATION BASED ON JSEG AND GRABCUT,China,China,China,35.86166000,104.19539700,edu, 8d95317d0e366cecae1dd3f7c1ba69fe3fc4a8e0,Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 8d95317d0e366cecae1dd3f7c1ba69fe3fc4a8e0,Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, 8d95317d0e366cecae1dd3f7c1ba69fe3fc4a8e0,Riesz-based Volume Local Binary Pattern and A Novel Group Expression Model for Group Happiness Intensity Analysis,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +8dc10cb0c8f6e449c22bb11399aa886d850fc701,A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials,Chalmers University of Technology,"Chalmers University of Technology, SE-412 96 Göteborg, Sweden","Chalmersplatsen 4, 412 96 Göteborg, Sweden",57.68970630,11.97416540,edu, 8dc10cb0c8f6e449c22bb11399aa886d850fc701,A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 8dc10cb0c8f6e449c22bb11399aa886d850fc701,A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, 8dc9de0c7324d098b537639c8214543f55392a6b,Pose-Invariant 3D Object Recognition Using Linear Combination of 2D Views and Evolutionary Optimisation,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 8d8d333eb194bce847a4bbfc85fe332643622a34,Learning Hand Articulations by Hallucinating Heat Distribution,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +8d4f2339fcadc2d1ef2126a11dce08ce7cb75bdd,Subspace Clustering via Optimal Direction Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8dea22172bd3008ec3c8008bc6edfdfe1e33e439,CityPersons: A Diverse Dataset for Pedestrian Detection,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +8d646ac6e5473398d668c1e35e3daa964d9eb0f6,Memory-efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment.,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu, +8d156f3b4f1ad5d041ae9f50a0b879e25c80749e,THE HIT OR MISS COUNT OF PROBE IMAGES FOR TEN TIMES S,India,India,India,20.59368400,78.96288000,edu, +8dbbaacb2585c9f06306601a81eef2c53e565ad1,Visual Systems for Interactive Exploration and Mining of Large-Scale Neuroimaging Data Archives,Finland,Finland,Finland,61.92411000,25.74815110,edu, 8df05de407b829abb357e230bead5407cabe7305,U Can Touch This: How Tablets Can Be Used to Study Cognitive Development,Ruhr-University Bochum,Ruhr-University Bochum,"RUB, 150, Universitätsstraße, Ruhr-Universität, Querenburg, Bochum-Süd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland",51.44415765,7.26096541,edu, +8de7c496c1dac3be5fa55de72867325153b119bd,Robust Face Recognition using Key-point Descriptors,University of Central Lancashire,"ADSIP Research Centre, University of Central Lancashire, Preston, PR1 2HE, U.K.","Fylde Rd, Preston PR1 2HE, UK",53.76413780,-2.70924530,edu, 8d1253f315c821bd2b354550ae9ea6d3d7be1d31,Improved Low Resolution Heterogeneous Face Recognition Using Re-ranking,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 8d955b025495522e67e8cb6e29436001ebbd0abb,Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, 8d955b025495522e67e8cb6e29436001ebbd0abb,Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 8d44ac33d768fdc436c1b8ce995e2a6dbc4ad74b,Face recognition across large pose variations via Boosted Tied Factor Analysis,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, +8dfdfcc3f34263779871d023fad973f4a1966ec0,Internet of vehicles in big data era,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +8d5998cd984e7cce307da7d46f155f9db99c6590,ChaLearn looking at people: A review of events and resources,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 8dce6fa7a13cc94954cbc6be9a709a4ce696ead3,Vision and Language Integration: Moving beyond Objects,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 8d09e7c3c6b714574b2a4a7993ac94beb9d4f50d,HUMAN EYE LOCALIZATION USING EDGE PROJECTIONS,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, 8d09e7c3c6b714574b2a4a7993ac94beb9d4f50d,HUMAN EYE LOCALIZATION USING EDGE PROJECTIONS,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, @@ -3346,7 +4071,10 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 8d6c4af9d4c01ff47fe0be48155174158a9a5e08,"Labeling, discovering, and detecting objects in images",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 8d7d02bdd3a6dfc01982468ed3eb4e66d99a302f,Data Curation APIs.,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, 8d7d02bdd3a6dfc01982468ed3eb4e66d99a302f,Data Curation APIs.,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, +8d8461ed57b81e05cc46be8e83260cd68a2ebb4d,Age identification of Facial Images using Neural Network,India,India,India,20.59368400,78.96288000,edu, 8dbb08fdd8827383ce74dde937b74cf21b687cbb,Rediction and U Nsupervised L Earning,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, +8d559aeefb291d5b017c263a49f38e8a28439344,Visually-Driven Semantic Augmentation for Zero-Shot Learning,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, +8d559aeefb291d5b017c263a49f38e8a28439344,Visually-Driven Semantic Augmentation for Zero-Shot Learning,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 8dcc95debd07ebab1721c53fa50d846fef265022,MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, 8d203e9f7aa88ee167f5eb620a63dcf2dc64fb2e,A Knowledge-Grounded Multimodal Search-Based Conversational Agent,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, 8d4f12ed7b5a0eb3aa55c10154d9f1197a0d84f3,Cascaded pose regression,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, @@ -3354,7 +4082,9 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 8d03e982bac627dfea7a785a597d5946c6b2c4bb,"Landmark localization, feature matching and biomarker discovery from magnetic resonance images",Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 8de6deefb90fb9b3f7d451b9d8a1a3264b768482,Multibiometric Systems : Fusion Strategies and Template Security,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 8d228b4c0787d9e29b0c1fff05f15198bda911c9,Scalable and Effective Deep CCA via Soft Decorrelation,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +8de065f412a7d739dff40044212c8506b5c52bf7,Multi-Person Pose Estimation for PoseTrack with Enhanced Part Affinity Fields,China,China,China,35.86166000,104.19539700,edu, 8d91f06af4ef65193f3943005922f25dbb483ee4,Facial Expression Classification Using Rotation Slepian-based Moment Invariants,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, +8d91f06af4ef65193f3943005922f25dbb483ee4,Facial Expression Classification Using Rotation Slepian-based Moment Invariants,China,China,China,35.86166000,104.19539700,edu, 8d0243b8b663ca0ab7cbe613e3b886a5d1c8c152,Development of Optical Computer Recognition (OCR) for Monitoring Stress and Emotions in Space,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 8d94e72ebcbc8f93dc60eb42ac7058d6a94e8683,D-LinkNet : LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 8d6344658fa9673b1f4ac0d0bad53617ee127aaa,Adolescent and adult risk-taking in virtual social contexts,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -3376,10 +4106,15 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 4a1a7e5d52e097d1defb523575fb8de1a5b24171,Multicore Construction of k-d Trees for High Dimensional Point Data,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 4a79923948c6ccda965077287dc6fd1d3728d680,Dropout Training for Support Vector Machines,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 4adb97b096b700af9a58d00e45a2f980136fcbb5,TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization.,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +4adb97b096b700af9a58d00e45a2f980136fcbb5,TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization.,China,China,China,35.86166000,104.19539700,edu, +4a64b020c72db15a729939a2c041ef4f5830f0f7,Challenges of Ground Truth Evaluation of Multi-target Tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +4a0f98d7dbc31497106d4f652968c708f7da6692,Real-time eye gaze direction classification using convolutional neural network,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4a2ff05ae941fb4cd3a65e74e1008820515c177b,Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4ac4e8d17132f2d9812a0088594d262a9a0d339b,Rank Constrained Recognition under Unknown Illuminations,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 4afdb1c53d0173030868a9fecee4c0216dc45c9e,An analysis-by-synthesis method based on sparse representation for heterogeneous face biometrics,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +4afdb1c53d0173030868a9fecee4c0216dc45c9e,An analysis-by-synthesis method based on sparse representation for heterogeneous face biometrics,China,China,China,35.86166000,104.19539700,edu, 4afdb1c53d0173030868a9fecee4c0216dc45c9e,An analysis-by-synthesis method based on sparse representation for heterogeneous face biometrics,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +4afdb1c53d0173030868a9fecee4c0216dc45c9e,An analysis-by-synthesis method based on sparse representation for heterogeneous face biometrics,China,China,China,35.86166000,104.19539700,edu, 4ab023f9bac5c85b829be95c905b6d5dc51820c2,Discovering physics and design trends from visual temporal structures,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 4ab023f9bac5c85b829be95c905b6d5dc51820c2,Discovering physics and design trends from visual temporal structures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 4ab023f9bac5c85b829be95c905b6d5dc51820c2,Discovering physics and design trends from visual temporal structures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -3389,10 +4124,15 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 4ae59d2a28abd76e6d9fb53c9e7ece833dce7733,A Survey on Mobile Affective Computing,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, 4aabd6db4594212019c9af89b3e66f39f3108aac,The Mere Exposure Effect and Classical Conditioning,"University of Colorado, Boulder","University of Colorado, Boulder","Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA",40.01407945,-105.26695944,edu, 4ab69672e1116427d685bf7c1edb5b1fd0573b5e,Spatial pooling of heterogeneous features for image applications,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +4ab69672e1116427d685bf7c1edb5b1fd0573b5e,Spatial pooling of heterogeneous features for image applications,China,China,China,35.86166000,104.19539700,edu, 4ab69672e1116427d685bf7c1edb5b1fd0573b5e,Spatial pooling of heterogeneous features for image applications,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +4ab69672e1116427d685bf7c1edb5b1fd0573b5e,Spatial pooling of heterogeneous features for image applications,China,China,China,35.86166000,104.19539700,edu, 4a29bc00d1bc944fffe510713e3e8f2206c33fd1,Self-supervised Segmentation by Grouping Optical-Flow,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +4a19f6545473363b16d4a10ed13fef29b38856d3,What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4aea8b8a733aa9a816cc53cc5c138876c0660773,Self-Reinforced Cascaded Regression for Face Alignment,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, +4aea8b8a733aa9a816cc53cc5c138876c0660773,Self-Reinforced Cascaded Regression for Face Alignment,China,China,China,35.86166000,104.19539700,edu, 4aea8b8a733aa9a816cc53cc5c138876c0660773,Self-Reinforced Cascaded Regression for Face Alignment,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, +4af997701ce14ba689f7f964a72bcae0a2432435,The role of gaze direction in face memory in autism spectrum disorder.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 4a18adc7f5a090a041528a88166671248703f6e0,Illumination normalization for robust face recognition against varying lighting conditions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4a18adc7f5a090a041528a88166671248703f6e0,Illumination normalization for robust face recognition against varying lighting conditions,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 4aeb5520a941fb59f20093cbeaf4b84b35df78fc,Gait Representation Using Flow Fields,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, @@ -3406,12 +4146,16 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 4ac0a37ba0630310e7848e144edcba9ea3d05334,Max-Margin Dictionary Learning for Multiclass Image Categorization,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 4ac0a37ba0630310e7848e144edcba9ea3d05334,Max-Margin Dictionary Learning for Multiclass Image Categorization,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 4afded694bb067c45b591c98e0951e8988d7d2d6,3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +4afded694bb067c45b591c98e0951e8988d7d2d6,3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation,China,China,China,35.86166000,104.19539700,edu, 4afded694bb067c45b591c98e0951e8988d7d2d6,3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +4afded694bb067c45b591c98e0951e8988d7d2d6,3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation,China,China,China,35.86166000,104.19539700,edu, 4a9086cf2637b7ea54855187b978af7a89bfceff,Atypical neural specialization for social percepts in autism spectrum disorder.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 4a9d906935c9de019c61aedc10b77ee10e3aec63,Cross Modal Distillation for Supervision Transfer,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, -4a07fe50742c31daffd77cdcac15eaca72070b2a,Examining CNN Representations With Respect to Dataset Bias,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +4ac4b0a2d06ff5df1cc4941f8ae47843b4593bba,American Sign Language fingerspelling recognition from video: Methods for unrestricted recognition and signer-independence,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, +4a07fe50742c31daffd77cdcac15eaca72070b2a,Examining CNN Representations With Respect to Dataset Bias,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 4a24d41aef0041ef82916d2316eea86f6c45c47f,Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 4a24d41aef0041ef82916d2316eea86f6c45c47f,Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +4a24d41aef0041ef82916d2316eea86f6c45c47f,Impact of Full Rank Principal Component Analysis on Classification Algorithms for Face Recognition,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, 4af4098deffc22cf901f38b4634d316df68975ab,Image segmentation with patch-pair density priors,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 4af4098deffc22cf901f38b4634d316df68975ab,Image segmentation with patch-pair density priors,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 4ae33d64f8515a023f10e20af20f62a2a5a76f13,Sketch Recognition with Deep Visual-Sequential Fusion Model,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, @@ -3428,9 +4172,12 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 4a8f521b929f72da2e9ee4af9f43e941f02bd114,Data-Driven Scene Understanding from 3D Models,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4a8f521b929f72da2e9ee4af9f43e941f02bd114,Data-Driven Scene Understanding from 3D Models,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4a1d640f5e25bb60bb2347d36009718249ce9230,Towards Multi-view and Partially-Occluded Face Alignment,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +4a9afcc6ba45c0ff05ea93d306ff73ede32f7ed4,Multiple-shot People Re-identify based on Feature Selection with Sparsity,China,China,China,35.86166000,104.19539700,edu, 4a484d97e402ed0365d6cf162f5a60a4d8000ea0,A Crowdsourcing Approach for Finding Misidentifications of Bibliographic Records,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, +4abaebe5137d40c9fcb72711cdefdf13d9fc3e62,Dimension Reduction for Regression with Bottleneck Neural Networks,Finland,Finland,Finland,61.92411000,25.74815110,edu, 4a14a321a9b5101b14ed5ad6aa7636e757909a7c,Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 4a14a321a9b5101b14ed5ad6aa7636e757909a7c,Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +4a14a321a9b5101b14ed5ad6aa7636e757909a7c,Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 4ac61814d0f624ebda190b240ede72f0b156ff22,Face Recognition by Support Vector Machines,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 4a2ba5d7b41ae1d8334c5b8bb1e76ce29e4367ee,Relational divergence based classification on Riemannian manifolds,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA 4a2ba5d7b41ae1d8334c5b8bb1e76ce29e4367ee,Relational divergence based classification on Riemannian manifolds,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, @@ -3458,9 +4205,12 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 1b5866c5b3715b410bfb4ccca6d42b32162d4ef1,Now You See Me: Deep Face Hallucination for Unviewed Sketches,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 1b5866c5b3715b410bfb4ccca6d42b32162d4ef1,Now You See Me: Deep Face Hallucination for Unviewed Sketches,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 1b0cc9f0ffd8df93c8006da9c525ca9b84fb1211,Learning to Anonymize Faces for Privacy Preserving Action Detection,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, -1babf4bc962593593c83ac70f3b7ee64b3e5a680,Detecting Objects Using Deformation Dictionaries,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -1babf4bc962593593c83ac70f3b7ee64b3e5a680,Detecting Objects Using Deformation Dictionaries,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +1babf4bc962593593c83ac70f3b7ee64b3e5a680,Detecting Objects Using Deformation Dictionaries,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +1babf4bc962593593c83ac70f3b7ee64b3e5a680,Detecting Objects Using Deformation Dictionaries,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 1b635f494eff2e5501607ebe55eda7bdfa8263b8,USC at THUMOS 2014,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +1b55a0ad1d4738a7d46ed787542991d4a05ae27e,Accurate Object Detection and Semantic Segmentation using Gaussian Mixture Model and CNN,India,India,India,20.59368400,78.96288000,edu, +1b55a0ad1d4738a7d46ed787542991d4a05ae27e,Accurate Object Detection and Semantic Segmentation using Gaussian Mixture Model and CNN,India,India,India,20.59368400,78.96288000,edu, +1b55a0ad1d4738a7d46ed787542991d4a05ae27e,Accurate Object Detection and Semantic Segmentation using Gaussian Mixture Model and CNN,India,India,India,20.59368400,78.96288000,edu, 1bbe0371ca22c2fdb6e0d098049bbf6430324bdb,"Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement, and Retrieval",University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 1bbe0371ca22c2fdb6e0d098049bbf6430324bdb,"Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement, and Retrieval",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 1bbe0371ca22c2fdb6e0d098049bbf6430324bdb,"Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement, and Retrieval",University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, @@ -3473,6 +4223,7 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 1b21acf8daaf86c4f2228fa3f5e9aa38ab8ad30d,Cross-scene crowd counting via deep convolutional neural networks,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 1b715b4cef51be6bd5dd73c0d30257d853411a52,Fourth-Person Sensing for Pro-active Services,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 1b67053c682dcbc9dc368de89fff32f787320a96,Quality-Driven Face Occlusion Detection and Recovery,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +1b67053c682dcbc9dc368de89fff32f787320a96,Quality-Driven Face Occlusion Detection and Recovery,China,China,China,35.86166000,104.19539700,edu, 1b92fdffa3f87c1081e88c41b5fb0d7d31b3873e,Illumination Insensitive Face Representation for Face Recognition Based on Modified Weberface,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 1b92fdffa3f87c1081e88c41b5fb0d7d31b3873e,Illumination Insensitive Face Representation for Face Recognition Based on Modified Weberface,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 1badfeece64d1bf43aa55c141afe61c74d0bd25e,"OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning",Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -3488,6 +4239,8 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 1bd65302bca0c1a593490088a0ce85988f3cc90a,"Ten Years of Pedestrian Detection, What Have We Learned?",Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 1be0ce87bb5ba35fa2b45506ad997deef6d6a0a8,EXMOVES: Classifier-based Features for Scalable Action Recognition,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, 1b5baa2ff3b6f88865fd244d87d39d58282d8597,Large-Scale Image Classification using High Performance Clustering,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, +1b6afc2cdf931a02df46d5052b4409c770ef8660,An Approach to Analyse Facial Expression from Videos using Pyramid Histogram of Orientation Gradients,India,India,India,20.59368400,78.96288000,edu, +1b6afc2cdf931a02df46d5052b4409c770ef8660,An Approach to Analyse Facial Expression from Videos using Pyramid Histogram of Orientation Gradients,India,India,India,20.59368400,78.96288000,edu, 1b2ad281ef74e366ec58221b13edc6eefdb170f8,Use and Usefulness of Dynamic Face Stimuli for Face Perception Studies—a Review of Behavioral Findings and Methodology,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 1b2ad281ef74e366ec58221b13edc6eefdb170f8,Use and Usefulness of Dynamic Face Stimuli for Face Perception Studies—a Review of Behavioral Findings and Methodology,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu, 1b2ad281ef74e366ec58221b13edc6eefdb170f8,Use and Usefulness of Dynamic Face Stimuli for Face Perception Studies—a Review of Behavioral Findings and Methodology,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, @@ -3495,22 +4248,28 @@ fd15e397629e0241642329fc8ee0b8cd6c6ac807,Semi-Supervised Clustering with Neural 1b2ad281ef74e366ec58221b13edc6eefdb170f8,Use and Usefulness of Dynamic Face Stimuli for Face Perception Studies—a Review of Behavioral Findings and Methodology,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, 1bbf4275c1dbe3203b0e2261114850fbe8ca7e0e,Higher level techniques for the artistic rendering of images and video,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, 1ba384ef80ab9295162833ed2658aac119fe9cc3,Audio-to-Visual Speech Conversion Using Deep Neural Networks,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, +1ba384ef80ab9295162833ed2658aac119fe9cc3,Audio-to-Visual Speech Conversion Using Deep Neural Networks,"Disney Research, Pittsburgh, USA","Disney Research, Pittsburgh, USA","4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,company, 1b72222651c5b0295981e26d1333fadfcfb6a480,High-Quality Face Image SR Using Conditional Generative Adversarial Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +1b72222651c5b0295981e26d1333fadfcfb6a480,High-Quality Face Image SR Using Conditional Generative Adversarial Networks,China,China,China,35.86166000,104.19539700,edu, 1b72222651c5b0295981e26d1333fadfcfb6a480,High-Quality Face Image SR Using Conditional Generative Adversarial Networks,National Chung Hsing University,National Chung Hsing University,"國立中興大學, 145, 興大路, 積善里, 頂橋子頭, 南區, 臺中市, 402, 臺灣",24.12084345,120.67571165,edu, 1b248ed8e7c9514648cd598960fadf9ab17e7fe8,"From apparent to real age: gender, age, ethnic, makeup, and expression bias analysis in real age estimation",University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu, 1b248ed8e7c9514648cd598960fadf9ab17e7fe8,"From apparent to real age: gender, age, ethnic, makeup, and expression bias analysis in real age estimation",University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 1b248ed8e7c9514648cd598960fadf9ab17e7fe8,"From apparent to real age: gender, age, ethnic, makeup, and expression bias analysis in real age estimation",University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 1bad8a9640cdbc4fe7de12685651f44c4cff35ce,THETIS: Three Dimensional Tennis Shots a Human Action Dataset,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, 1bcc4f0f58848190ae0b2098eadf06002d5f70b4,Scalable object-class retrieval with approximate and top-k ranking,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, +1b71e4b59358ed7ecf6117e19fc944307e58a7af,3 D Spectral Nonrigid Registration of Facial Expression Scans,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1bf570bd40b3adced1e47dbcceffe50573f81845,Exponential Discriminative Metric Embedding in Deep Learning,China,China,China,35.86166000,104.19539700,edu, 1bf570bd40b3adced1e47dbcceffe50573f81845,Exponential Discriminative Metric Embedding in Deep Learning,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 1bf570bd40b3adced1e47dbcceffe50573f81845,Exponential Discriminative Metric Embedding in Deep Learning,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 1be9ee50f4d4f59b9761a366bba9127213dc4f33,ou cannot gamble on others : Dissociable systems for trategic uncertainty and risk in the brain,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, +1bbd83aeccae06f7d1b048f12566943ac824a490,Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, d46fda4b49bbc219e37ef6191053d4327e66c74b,Facial Expression Recognition Based on Complexity Perception Classification Algorithm,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, d453e0d308919867b5814beb1394cd0cc1cb2378,STOIC : A database of dynamic and static faces expressing highly recognizable emotions,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, d4448f8aa320f04066cc43201d55ddd023eb712e,Clothing Change Aware Person Identification,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, d4448f8aa320f04066cc43201d55ddd023eb712e,Clothing Change Aware Person Identification,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, d4d2014f05e17869b72f180fd0065358c722ac65,UNIVERSITY OF CALGARY A MULTIMODAL BIOMETRIC SYSTEM BASED ON RANK LEVEL FUSION by MD. MARUF MONWAR A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, d4ea0438b6c0479a7d7611130a0dc242a22f93eb,Pose2Instance: Harnessing Keypoints for Person Instance Segmentation,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +d493288998422ee30fe67370497a8a35108f81e7,"Key words- Face Detection, Eigenface, Feature",India,India,India,20.59368400,78.96288000,edu, d408e80d0c5db9fa856a02d42657959a530174fd,Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, d408e80d0c5db9fa856a02d42657959a530174fd,Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, d476b357c5bbc7bfae06a3876a5c0852d31d1b6e,A Novel Visual Organization Based on Topological Perception,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -3518,44 +4277,80 @@ d476b357c5bbc7bfae06a3876a5c0852d31d1b6e,A Novel Visual Organization Based on To d46b4e6871fc9974542215f001e92e3035aa08d9,A Gabor Quotient Image for Face Recognition under Varying Illumination,Mahanakorn University of Technology,Mahanakorn University of Technology,"มหาวิทยาลัยเทคโนโลยีมหานคร, 140, ถนนเชื่อมสัมพันธ์, กรุงเทพมหานคร, เขตหนองจอก, กรุงเทพมหานคร, 10530, ประเทศไทย",13.84450465,100.85620818,edu, d4a5eaf2e9f2fd3e264940039e2cbbf08880a090,An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, d4b34e327b62b7f3fbddfc403e4642b17245a3b7,Partial Person Re-identification with Alignment and Hallucination,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +d40c4e370d35264e324e4e3d5df59e51518c9979,A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering,China,China,China,35.86166000,104.19539700,edu, d428aa4c1c84da422f8c99eb0147a49439d16f0d,Audio-Visual Spontaneous Emotion Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +d40bd8d44fe78952769a9bb04fe74ce38ef07534,Locally Adaptive Learning Loss for Semantic Image Segmentation,China,China,China,35.86166000,104.19539700,edu, d4f1eb008eb80595bcfdac368e23ae9754e1e745,Unconstrained Face Detection and Open-Set Face Recognition Challenge,"University of Colorado, Colorado Springs",University of Colorado Colorado Springs,"Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA",38.89207560,-104.79716389,edu, +d4885ca24189b4414031ca048a8b7eb2c9ac646c,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN",Russia,Russia,Russia,61.52401000,105.31875600,edu, d406ec45ab1d1453cc207fff265077101154d613,Horizontal Pyramid Matching for Person Re-identification,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, d454ad60b061c1a1450810a0f335fafbfeceeccc,Deep Regression Forests for Age Estimation,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, d467035d83fb4e86c4a47b2ca87894388deb8c44,Relief R-CNN : Utilizing Convolutional Feature Interrelationship for Object Detection,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +d467035d83fb4e86c4a47b2ca87894388deb8c44,Relief R-CNN : Utilizing Convolutional Feature Interrelationship for Object Detection,China,China,China,35.86166000,104.19539700,edu, d45e856d22714d6ea7bd80a8c73d2be3b1f16f27,Learning Interpretable Spatial Operations in a Rich 3D Blocks World,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, d45e856d22714d6ea7bd80a8c73d2be3b1f16f27,Learning Interpretable Spatial Operations in a Rich 3D Blocks World,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, d46a5bba21f897f1c4b3366dcb663820ef1c282d,Cerebral Hemodynamic Response to Faces and Emotions in Infants at High Risk for Autism,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +d4e669d5d35fa0ca9f8d9a193c82d4153f5ffc4e,A Lightened CNN for Deep Face Representation,University of Science and Technology Beijing,"University of Science and Technology Beijing, 100083, China","30 Xueyuan Rd, Haidian Qu, Beijing Shi, China, 100083",39.98945800,116.35694500,edu, +d4e669d5d35fa0ca9f8d9a193c82d4153f5ffc4e,A Lightened CNN for Deep Face Representation,China,China,China,35.86166000,104.19539700,edu, d4c2d26523f577e2d72fc80109e2540c887255c8,Face-space Action Recognition by Face-Object Interactions,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, d444e010049944c1b3438c9a25ae09b292b17371,Structure Preserving Video Prediction,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, d4a925cb0ca66b1cacec325751f4a85e5b74790d,Adversarially Learned Inference,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, d40cd10f0f3e64fd9b0c2728089e10e72bea9616,Enhancing Face Identification Using Local Binary Patterns and K-Nearest Neighbors,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, d437a69d631b48583acc19c946b48e7d601d7853,Trace Norm Regularised Deep Multi-Task Learning,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, d448d67c6371f9abf533ea0f894ef2f022b12503,Weakly Supervised Collective Feature Learning From Curated Media,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +d4c657ce3b7e47237201393aa6bba0e19442bfd2,Interpolation Based Tracking for Fast Object Detection in Videos,India,India,India,20.59368400,78.96288000,edu, +d45dc3546702db7fcef8d4863db319ca84cc8d3d,How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs,India,India,India,20.59368400,78.96288000,edu, d4be2bd85176e5c3a701174d7bef2c81aa5aef02,"Three for one and one for three: Flow, Segmentation, and Surface Normals",University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +d4fc055aa72b71397bdd223af212a632c026246e,Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India,China,China,China,35.86166000,104.19539700,edu, +d4fc055aa72b71397bdd223af212a632c026246e,Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India,India,India,India,20.59368400,78.96288000,edu, +d4fc055aa72b71397bdd223af212a632c026246e,Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India,India,India,India,20.59368400,78.96288000,edu, +d4fc055aa72b71397bdd223af212a632c026246e,Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India,India,India,India,20.59368400,78.96288000,edu, +d497543834f23f72f4092252b613bf3adaefc606,Density-Adaptive Kernel based Re-Ranking for Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, d492dbfaa42b4f8b8a74786d7343b3be6a3e9a1d,Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, d492dbfaa42b4f8b8a74786d7343b3be6a3e9a1d,Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, d46509935f7d485295587d4fc201c42108760379,Facial Image Analysis by CNN with Weighted Heterogeneous Learning,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu, d462d514c0a177eb82aec8175bf431189218e393,Face recognition using regularised generalised discriminant locality preserving projections,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +d47a2c0828bcfa4ebe0b7831f0b389ea385a8ce9,Local descriptors based random forests for human detection,University of Ulsan,"University of Ulsan, Korea","93 Daehak-ro, Mugeo-dong, Nam-gu, Ulsan, South Korea",35.54374110,129.25628430,edu, +d82681348489f4f04690e65b9ffe21b68c89b5ff,Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination,China,China,China,35.86166000,104.19539700,edu, +d82681348489f4f04690e65b9ffe21b68c89b5ff,Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination,China,China,China,35.86166000,104.19539700,edu, +d82b93f848d5442f82154a6011d26df8a9cd00e7,NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS,India,India,India,20.59368400,78.96288000,edu, +d82b93f848d5442f82154a6011d26df8a9cd00e7,NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS,India,India,India,20.59368400,78.96288000,edu, +d8e061960423a17748dedbcfe4b6a6918f79c262,Fast Prototyping and Computationally Intensive Experiments,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, +d8cf6b19c75489dd7a5f4107e2e3ec494274da41,Partial Relevance in Interactive Facial Image Retrieval,Finland,Finland,Finland,61.92411000,25.74815110,edu, +d8d1fb804d1f4760393c6fd70c9072fa1b39f02c,An Efficient Approach to Onboard Stereo Vision System Pose Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, d8d08bdcafdf892e3fc6ff3c38c2503ff9d41996,Learning image-to-image translation using paired and unpaired training samples,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +d8d08bdcafdf892e3fc6ff3c38c2503ff9d41996,Learning image-to-image translation using paired and unpaired training samples,Finland,Finland,Finland,61.92411000,25.74815110,edu, +d8d08bdcafdf892e3fc6ff3c38c2503ff9d41996,Learning image-to-image translation using paired and unpaired training samples,Finland,Finland,Finland,61.92411000,25.74815110,edu, d847d2b75bf301007a9e67889bdae5b147559ed3,Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly,Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu, d847d2b75bf301007a9e67889bdae5b147559ed3,Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, d893f75206b122973cdbf2532f506912ccd6fbe0,Facial Expressions with Some Mixed Expressions Recognition Using Neural Networks,Pondicherry Engineering College,Pondicherry Engineering College,"Pondicherry Engineering College, PEC MAIN ROAD, Sri Ma, Puducherry, Puducherry district, Puducherry, 605001, India",12.01486930,79.84809104,edu, +d893f75206b122973cdbf2532f506912ccd6fbe0,Facial Expressions with Some Mixed Expressions Recognition Using Neural Networks,India,India,India,20.59368400,78.96288000,edu, d8b2e37eb9d2ee0e84bceafce84812cfa0b88211,Mgan: Training Generative Adversarial Nets with Multiple Generators,Deakin University,Deakin University,"Deakin University, Pigdons Lane, Waurn Ponds, Geelong, City of Greater Geelong, Barwon South West, Victoria, 3216, Australia",-38.19928505,144.30365229,edu, d8cbb5872300f79806acba6cfcbc7225800f1041,Video Processing on Vehicle Front-View Camera EE 368 : Digital Image Processing Final Project,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, -d876dc120fd8e7f782bb9fdf1aaa930ec06f676a,CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +d876dc120fd8e7f782bb9fdf1aaa930ec06f676a,CLEAR: Cumulative LEARning for One-Shot One-Class Image Recognition,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, +d86fabd4498c8feaed80ec342d254fb877fb92f5,Region-Object Relevance-Guided Visual Relationship Detection,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, d84230a2fc9950fccfd37f0291d65e634b5ffc32,Historical and Modern Image-to-Image Translation with Generative Adversarial Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, d84230a2fc9950fccfd37f0291d65e634b5ffc32,Historical and Modern Image-to-Image Translation with Generative Adversarial Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, d84230a2fc9950fccfd37f0291d65e634b5ffc32,Historical and Modern Image-to-Image Translation with Generative Adversarial Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, d86992d3ce3c2b89ddaab57244d91dcce610412e,JPEG Compression Effects on a Smart Card Face Verification System,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, d8f837265fe76e26c99052229c4997fbec20573a,View-Adaptive Metric Learning for Multi-view Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, d8f837265fe76e26c99052229c4997fbec20573a,View-Adaptive Metric Learning for Multi-view Person Re-identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +d806790866ab9bad77f60436fe77232db8e0c1ba,Deep Directional Network for Object Tracking,China,China,China,35.86166000,104.19539700,edu, d814981606fe5954148e45c737f1debe7b5b36c4,Visual Textbook Network: Watch Carefully before Answering Visual Questions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +d814981606fe5954148e45c737f1debe7b5b36c4,Visual Textbook Network: Watch Carefully before Answering Visual Questions,China,China,China,35.86166000,104.19539700,edu, +d814981606fe5954148e45c737f1debe7b5b36c4,Visual Textbook Network: Watch Carefully before Answering Visual Questions,China,China,China,35.86166000,104.19539700,edu, +d814981606fe5954148e45c737f1debe7b5b36c4,Visual Textbook Network: Watch Carefully before Answering Visual Questions,China,China,China,35.86166000,104.19539700,edu, d8b251cbcda6289bbeaff56692da963aa5a80cd2,Multi-Task Multi-Sample Learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +d84a48f7d242d73b32a9286f9b148f5575acf227,Global and Local Consistent Age Generative Adversarial Networks,China,China,China,35.86166000,104.19539700,edu, +d84a48f7d242d73b32a9286f9b148f5575acf227,Global and Local Consistent Age Generative Adversarial Networks,China,China,China,35.86166000,104.19539700,edu, d84a48f7d242d73b32a9286f9b148f5575acf227,Global and Local Consistent Age Generative Adversarial Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +d8029237cde893218d21ba551fd127d045ae3422,Eye-Strip based Person Identification based on Non-Subsampled Contourlet Transform,India,India,India,20.59368400,78.96288000,edu, +d8029237cde893218d21ba551fd127d045ae3422,Eye-Strip based Person Identification based on Non-Subsampled Contourlet Transform,India,India,India,20.59368400,78.96288000,edu, +d8029237cde893218d21ba551fd127d045ae3422,Eye-Strip based Person Identification based on Non-Subsampled Contourlet Transform,India,India,India,20.59368400,78.96288000,edu, d8ddaddfd4843d483505718f3487e312310ba23e,CLASSIFICATION OF HEMATOXYLIN AND EOSIN IMAGES USING LOCAL BINARY PATTERNS AND 1-D SIFT ALGORITHM,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, d802ed7d8b7aea71a10bd0d700fd11fde5729993,Development of an Active Shape Model Using the Discrete Cosine Transform,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, d802ed7d8b7aea71a10bd0d700fd11fde5729993,Development of an Active Shape Model Using the Discrete Cosine Transform,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, +d8391151d6e43d8e4ea0d8206a5acb7f9be7439f,Face Fusion Recognition Based on Bit-Plane Image,China,China,China,35.86166000,104.19539700,edu, +d8391151d6e43d8e4ea0d8206a5acb7f9be7439f,Face Fusion Recognition Based on Bit-Plane Image,China,China,China,35.86166000,104.19539700,edu, d8214e68bc7af0e24558fd9e79b2d777e46f2edc,Making Fisher Discriminant Analysis Scalable,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, d8214e68bc7af0e24558fd9e79b2d777e46f2edc,Making Fisher Discriminant Analysis Scalable,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, d8214e68bc7af0e24558fd9e79b2d777e46f2edc,Making Fisher Discriminant Analysis Scalable,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, @@ -3579,6 +4374,7 @@ d818b07237c74a0628becdeb9e67d8076f06b5f4,Audiovisual Speaker Clustering for News d818b07237c74a0628becdeb9e67d8076f06b5f4,Audiovisual Speaker Clustering for News Broadcast Videos,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, d818b07237c74a0628becdeb9e67d8076f06b5f4,Audiovisual Speaker Clustering for News Broadcast Videos,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, d8ce4c55d04b93bdb94c1d0427cfe40431bef941,"Simultaneous Human Segmentation , Depth and Pose Estimation via Dual Decomposition",Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, +d8ce4c55d04b93bdb94c1d0427cfe40431bef941,"Simultaneous Human Segmentation , Depth and Pose Estimation via Dual Decomposition","Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, d8ce4c55d04b93bdb94c1d0427cfe40431bef941,"Simultaneous Human Segmentation , Depth and Pose Estimation via Dual Decomposition",Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, d8bf148899f09a0aad18a196ce729384a4464e2b,FACIAL EXPRESSION RECOGNITION AND EXPRESSION INTENSITY ESTIMATION,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, d81b0a79558cabaaf3db22caf89454f4e012f21b,iParaphrasing: Extracting Visually Grounded Paraphrases via an Image,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, @@ -3589,13 +4385,24 @@ d80a3d1f3a438e02a6685e66ee908446766fefa9,Quantifying Facial Age by Posterior of 5b6593a6497868a0d19312952d2b753232414c23,Face Recognition by 3D Registration for the Visually Impaired Using a RGB-D Sensor,City College of New York,"The City College of New York, New York, NY 10031, USA","CCNY, 160, Convent Avenue, Manhattanville, Manhattan, Manhattan Community Board 9, New York County, NYC, New York, 10031, USA",40.81819805,-73.95100898,edu, 5b6593a6497868a0d19312952d2b753232414c23,Face Recognition by 3D Registration for the Visually Impaired Using a RGB-D Sensor,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 5b89744d2ac9021f468b3ffd32edf9c00ed7fed7,Beyond Mahalanobis metric: Cayley-Klein metric learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +5b89744d2ac9021f468b3ffd32edf9c00ed7fed7,Beyond Mahalanobis metric: Cayley-Klein metric learning,China,China,China,35.86166000,104.19539700,edu, 5b9693d2f6b7b731f9abdbfa5c35d641b881daff,MODELING HUMAN MOTION USING MANIFOLD LEARNING AND FACTORIZED GENERATIVE MODELS,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, 5b24ef13fc9a51a9892f164bc142ffefc0b7a8ee,"CHUNG , JAMALUDIN , ZISSERMAN : YOU SAID THAT ? 1 You said that ?",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +5b24ef13fc9a51a9892f164bc142ffefc0b7a8ee,"CHUNG , JAMALUDIN , ZISSERMAN : YOU SAID THAT ? 1 You said that ?","Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, +5b33a220defa5362e7e1f1b664ad18e466b0515a,Pedestrian Detection for Android Mobile Devices,China,China,China,35.86166000,104.19539700,edu, 5b97e997b9b654373bd129b3baf5b82c2def13d1,3D Face Tracking and Texture Fusion in the Wild,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 5b97e997b9b654373bd129b3baf5b82c2def13d1,3D Face Tracking and Texture Fusion in the Wild,Reutlingen University,Reutlingen University,"Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72762, Deutschland",48.48187645,9.18682404,edu, 5b0bf1063b694e4b1575bb428edb4f3451d9bf04,Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +5b0bf1063b694e4b1575bb428edb4f3451d9bf04,Facial Shape Tracking via Spatio-Temporal Cascade Shape Regression,China,China,China,35.86166000,104.19539700,edu, +5bb24d1250df62a56cab1445f1d8c5c61269b785,Measuring the Temporal Behavior of Real-World Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +5b721f86f4a394f05350641e639a9d6cb2046c45,Detection under Privileged Information,Pennsylvania State University,Pennsylvania State University,,,,edu, +5b721f86f4a394f05350641e639a9d6cb2046c45,Detection under Privileged Information,Pennsylvania State University,Pennsylvania State University,,,,edu, +5b721f86f4a394f05350641e639a9d6cb2046c45,Detection under Privileged Information,Pennsylvania State University,Pennsylvania State University,,,,edu, 5b70beeadc31ac8421bd9fe54fbe696b90eba1cf,Three-dimensional proxies for hand-drawn characters,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +5b70beeadc31ac8421bd9fe54fbe696b90eba1cf,Three-dimensional proxies for hand-drawn characters,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu, +5bde1718253ec28a753a892b0ba82d8e553b6bf3,Variational Relevance Vector Machine for Tabular Data,Russia,Russia,Russia,61.52401000,105.31875600,edu, 5bde1718253ec28a753a892b0ba82d8e553b6bf3,Variational Relevance Vector Machine for Tabular Data,Lomonosov Moscow State University,Lomonosov Moscow State University,"МГУ, улица Академика Хохлова, Московский государственный университет им. М. В. Ломоносова, район Раменки, Западный административный округ, Москва, ЦФО, 119234, РФ",55.70229715,37.53179777,edu, +5bde1718253ec28a753a892b0ba82d8e553b6bf3,Variational Relevance Vector Machine for Tabular Data,Russia,Russia,Russia,61.52401000,105.31875600,edu, 5bde1718253ec28a753a892b0ba82d8e553b6bf3,Variational Relevance Vector Machine for Tabular Data,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 5bde1718253ec28a753a892b0ba82d8e553b6bf3,Variational Relevance Vector Machine for Tabular Data,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu, 5b0008ba87667085912ea474025d2323a14bfc90,SoS-RSC : A Sum-of-Squares Polynomial Approach to Robustifying Subspace Clustering Algorithms,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, @@ -3608,6 +4415,7 @@ d80a3d1f3a438e02a6685e66ee908446766fefa9,Quantifying Facial Age by Posterior of 5bd84335e169e3c019eaf4dab64721e5b32b3870,A Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 5b4b84ce3518c8a14f57f5f95a1d07fb60e58223,Diagnosing Error in Object Detectors,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 5b042a76c6e61d411f68b8193ec67ad8dd1abc5e,iSAX 2.0: Indexing and Mining One Billion Time Series,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +5b10fa6b4c0921af7b36a58f4fd2d8fca6e3c9b1,Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification,China,China,China,35.86166000,104.19539700,edu, 5b693cb3bedaa2f1e84161a4261df9b3f8e77353,"Robust Face Localization Using Motion, Colour and Fusion",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 5b40475ee5a67a758f665957b019dc8a1fc027b4,Visual-Inertial Curve SLAM : Creating a Sparse Structured World without Feature Points,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 5b40475ee5a67a758f665957b019dc8a1fc027b4,Visual-Inertial Curve SLAM : Creating a Sparse Structured World without Feature Points,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, @@ -3625,14 +4433,20 @@ d80a3d1f3a438e02a6685e66ee908446766fefa9,Quantifying Facial Age by Posterior of 5bf2132de8be99547af4aee6013fec8226c763b5,Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 5bf2132de8be99547af4aee6013fec8226c763b5,Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 5bf2132de8be99547af4aee6013fec8226c763b5,Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, +5b1b90a0a6d491b26f427824985d69d5d0693220,Human gender classification: a review,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +5b1b90a0a6d491b26f427824985d69d5d0693220,Human gender classification: a review,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5bb9540375ba9bba22f8a22ba2990cfe7ff6780c,Discriminant Analysis of Haar Features for Accurate Eye Detection,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, -5b7cf29f164ec59a15ddb55b4af84ca07231f35d,"The role of features, algorithms and data in visual recognition",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +5b7cf29f164ec59a15ddb55b4af84ca07231f35d,"The role of features, algorithms and data in visual recognition",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 5bd07359b91d0eaa30264c5ddc9aedbb816844a7,Mining in-class social networks for large-scale pedagogical analysis,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +5bd07359b91d0eaa30264c5ddc9aedbb816844a7,Mining in-class social networks for large-scale pedagogical analysis,China,China,China,35.86166000,104.19539700,edu, 5bd07359b91d0eaa30264c5ddc9aedbb816844a7,Mining in-class social networks for large-scale pedagogical analysis,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, -5b4fddc0b86deea2fc139c43ee07892ad211a2dd,Compositional Human Pose Regression,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +5bd07359b91d0eaa30264c5ddc9aedbb816844a7,Mining in-class social networks for large-scale pedagogical analysis,China,China,China,35.86166000,104.19539700,edu, +5b4fddc0b86deea2fc139c43ee07892ad211a2dd,Compositional Human Pose Regression,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 5b9d41e2985fa815c0f38a2563cca4311ce82954,Exploitation of 3D images for face authentication under pose and illumination variations,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +5b6bed112e722c0629bcce778770d1b28e42fc96,Can Your Eyes Tell Me How You Think? A Gaze Directed Estimation of the Mental Activity,Romania,Romania,Romania,45.94316100,24.96676000,edu, 5b1e42e0ff78880dccdf4d90cfd5c6e3e577f923,Deep Feature Pyramid Reconfiguration for Object Detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 5b6ecbf5f1eecfe1a9074d31fe2fb030d75d9a79,Improving 3D Face Details Based on Normal Map of Hetero-source Images,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +5b6ecbf5f1eecfe1a9074d31fe2fb030d75d9a79,Improving 3D Face Details Based on Normal Map of Hetero-source Images,China,China,China,35.86166000,104.19539700,edu, 5b73b7b335f33cda2d0662a8e9520f357b65f3ac,Intensity Rank Estimation of Facial Expressions Based on a Single Image,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 5b73b7b335f33cda2d0662a8e9520f357b65f3ac,Intensity Rank Estimation of Facial Expressions Based on a Single Image,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 5bce272adc5bd6934fe31ae3c648b4b62191353d,The Evolution of First Person Vision Methods: A Survey,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, @@ -3670,13 +4484,17 @@ f563ef1a0fd024edb91a889b17b64aca84624be6,Gait-Based Pedestrian Detection for Aut f523089dad14fee8f90f9e14f30477d2973c6ec7,Bi-box Regression for Pedestrian Detection and Occlusion Estimation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, f523089dad14fee8f90f9e14f30477d2973c6ec7,Bi-box Regression for Pedestrian Detection and Occlusion Estimation,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu, f5fae7810a33ed67852ad6a3e0144cb278b24b41,Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +f59ac278349083a50871822ea08172258030265a,Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f50b6aba0254809ba83c55d2b144508007c23c58,Online learning of robust object detectors during unstable tracking,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, f571fe3f753765cf695b75b1bd8bed37524a52d2,Submodular Attribute Selection for Action Recognition in Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, f571fe3f753765cf695b75b1bd8bed37524a52d2,Submodular Attribute Selection for Action Recognition in Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, f571fe3f753765cf695b75b1bd8bed37524a52d2,Submodular Attribute Selection for Action Recognition in Video,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, f5eb411217f729ad7ae84bfd4aeb3dedb850206a,Tackling Low Resolution for Better Scene Understanding,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +f5eb411217f729ad7ae84bfd4aeb3dedb850206a,Tackling Low Resolution for Better Scene Understanding,India,India,India,20.59368400,78.96288000,edu, f523c55a0a8057c5b08add761353ca79946feb07,Visual Translation Embedding Network for Visual Relation Detection,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, f52efc206432a0cb860155c6d92c7bab962757de,Mugshot Database Acquisition in Video Surveillance Networks Using Incremental Auto-Clustering Quality Measures,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, +f5a52b69dde106cb69cb7c35dd8ca23071966876,Nonparametric Scene Parsing via Label Transfer,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +f5a52b69dde106cb69cb7c35dd8ca23071966876,Nonparametric Scene Parsing via Label Transfer,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f519723238701849f1160d5a9cedebd31017da89,Impact of multi-focused images on recognition of soft biometric traits,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, f5db05adb6e89986d9ae2da0b81e1ce7c8efd9ba,Making Archetypal Analysis Practical,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, f55deed4fa5d6d806790610dad9cf7505c1adde8,Goal Driven Detection in Natural Scenes Anonymous,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, @@ -3684,11 +4502,16 @@ f58ee95c2c4bdb1432e15d981dcbdb2038a55184,Multi-View Clustering via Deep Matrix F f58ee95c2c4bdb1432e15d981dcbdb2038a55184,Multi-View Clustering via Deep Matrix Factorization,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, f58592051db1f5d300d096f2cd7869258d2de9d8,Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,China,China,China,35.86166000,104.19539700,edu, +f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,China,China,China,35.86166000,104.19539700,edu, f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +f5149fb6b455a73734f1252a96a9ce5caa95ae02,Low-Rank-Sparse Subspace Representation for Robust Regression,China,China,China,35.86166000,104.19539700,edu, f568eff0b3d8b9ae527e6b4483e2bc2ce5fd01bb,Multi-context Attention for Human Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, f568eff0b3d8b9ae527e6b4483e2bc2ce5fd01bb,Multi-context Attention for Human Pose Estimation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, f5350ef1d45574e33f5b0f1c013a5bb00e1b1c55,Decoding Strategies for Neural Referring Expression Generation,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu, +f558af209dd4c48e4b2f551b01065a6435c3ef33,AN ENHANCED ATTRIBUTE RERANKING DESIGN FOR WEB IMAGE SEARCH,India,India,India,20.59368400,78.96288000,edu, +f558af209dd4c48e4b2f551b01065a6435c3ef33,AN ENHANCED ATTRIBUTE RERANKING DESIGN FOR WEB IMAGE SEARCH,India,India,India,20.59368400,78.96288000,edu, f5c285c3729188884f448db3cc60647f15e289d3,Sorted Index Numbers for Privacy Preserving Face Recognition,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, f59e2bd58563d03a31e2a3a1a7b309e33f03387d,Model-Reuse Attacks on Deep Learning Systems,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu, f59e2bd58563d03a31e2a3a1a7b309e33f03387d,Model-Reuse Attacks on Deep Learning Systems,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu, @@ -3713,6 +4536,8 @@ b80b9a58f06ca83ac643ef9eef32cf0fe424a476,MEC 2016: The Multimodal Emotion Recogn b80b9a58f06ca83ac643ef9eef32cf0fe424a476,MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, b80b9a58f06ca83ac643ef9eef32cf0fe424a476,MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, b80b9a58f06ca83ac643ef9eef32cf0fe424a476,MEC 2016: The Multimodal Emotion Recognition Challenge of CCPR 2016,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +b8cd49bfe1bdee9b8e76f3a9521f45a7b6f71dd2,Impact Factor : 4 . 116 IC TM Value : 3 . 00 CODEN : IJESS,Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu, +b8cd49bfe1bdee9b8e76f3a9521f45a7b6f71dd2,Impact Factor : 4 . 116 IC TM Value : 3 . 00 CODEN : IJESS,Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu, b86b0a3494c2e2d4a3f4c9a18f1e4fec542bb57d,Perceptual Material Attributes Arise in Local Material Recognition,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu, b81a5b676e5e8eee7dc99d5319ecb963f22d05c5,T ^2 2 Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, b8349ba39a034d7bc693b6613f2bc173f0ac27b8,Object Detection from Aerial Image,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, @@ -3727,7 +4552,9 @@ b88bace97d214d279e3a2053ccff0b6425295708,A Novel Framework for Online Supervised b80f2419d89937ab6b8c4591fdf72239875ddbec,Depth-based person re-identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, b83fa4fe617db200defe21a07f81aa8060587217,Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, b8b2acc7e5bd94651c8bb025b6311c108c7a7d37,Iteratively Learning from the Best,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +b831a08a7098b64485587541485859c9213e6dc2,Applications of 3 D morphable models for faces with expressions,"Morpho, Safran Group","Morpho, Safran Group","4002 Sheppard Ave E #215, Scarborough, ON M1S 4R5, Canada",43.78365630,-79.28793440,edu, b873246d9c474bf7799d6f45deb1155144dbd6b5,Image Analysis for Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +b82a4a0457170258aaf622b81e6f739a220398eb,Probe Strongly Similar Neutral Strongly Dissimilar Quasi-similar Quasi-dissimilar Push Pull,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b81cae2927598253da37954fb36a2549c5405cdb,Experiments on Visual Information Extraction with the Faces of Wikipedia,Polytechnique Montreal,Polytechnique Montr´eal,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada",45.50438400,-73.61288290,edu,"Polytechnique Montreal, Montreal, Quebec, Canada" b8084d5e193633462e56f897f3d81b2832b72dff,DeepID3: Face Recognition with Very Deep Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, b8084d5e193633462e56f897f3d81b2832b72dff,DeepID3: Face Recognition with Very Deep Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -3738,15 +4565,19 @@ b83155a18b95dcb551a0787b135d61d99eb82ac5,Robert McKeonTHREE-DIMENSIONAL FACE IMA b84b7b035c574727e4c30889e973423fe15560d7,Human Age Estimation Using Ranking SVM,HoHai University,HoHai University,"河海大学, 河海路, 小市桥, 鼓楼区, 南京市, 江苏省, 210013, 中国",32.05765485,118.75500040,edu, b84b7b035c574727e4c30889e973423fe15560d7,Human Age Estimation Using Ranking SVM,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe,Subcategory-Aware Object Classification,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +b88b83d2ffd30bf3bc3be3fb7492fd88f633b2fe,Subcategory-Aware Object Classification,Panasonic Singapore Laboratories,Panasonic Singapore Laboratories,Singapore,1.33648800,103.89329250,company, b849bfe51138d88f6cae2d602b5e2a42565fb1c7,Weakly Supervised Object Localization with Stable Segmentations,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, b87b0fa1ac0aad0ca563844daecaeecb2df8debf,Non-photorealistic rendering of portraits,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, +b88e0c3a6a95e5193085a258cd281802852e5a4a,Progression in large Age-gap face verification,India,India,India,20.59368400,78.96288000,edu, b859d1fc1a7ad756815490527319d458fa9af3d2,Learning Structure and Strength of CNN Filters for Small Sample Size Training,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, b8d61dc56a4112e0317c6a7323417ee649476148,Cross Pixel Optical Flow Similarity for Self-Supervised Learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, b88d5e12089f6f598b8c72ebeffefc102cad1fc0,Robust 2DPCA and Its Application,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, b88d5e12089f6f598b8c72ebeffefc102cad1fc0,Robust 2DPCA and Its Application,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, b87db5ac17312db60e26394f9e3e1a51647cca66,Semi-definite Manifold Alignment,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +b87db5ac17312db60e26394f9e3e1a51647cca66,Semi-definite Manifold Alignment,China,China,China,35.86166000,104.19539700,edu, b8b0f0ca35cb02334aaa3192559fb35f0c90f8fa,Face Recognition in Low-resolution Images by Using Local Zernike Moments,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, b8375ff50b8a6f1a10dd809129a18df96888ac8b,Natural Video Sequence Prediction,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +b8375ff50b8a6f1a10dd809129a18df96888ac8b,Natural Video Sequence Prediction,"POSTECH, Pohang, Korea","POSTECH, Pohang, Korea","77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea",36.01388570,129.32318360,edu, b8375ff50b8a6f1a10dd809129a18df96888ac8b,Natural Video Sequence Prediction,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detection in Crowded Surveillance,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, 41965f0c83b2ec081f76b043a7d3c48a9b26f0cc,UG^2: A Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, @@ -3755,23 +4586,28 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 41c97af4801ac302f09902aeec2af17b481563ab,MULTI-VIEW METRIC LEARNING FOR VISUAL CLASSIFICATION,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 41c97af4801ac302f09902aeec2af17b481563ab,MULTI-VIEW METRIC LEARNING FOR VISUAL CLASSIFICATION,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 41b2068f134adf9afb3dae2d8811e2d21f471e3d,Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, +4183d1b79d54f5638063e6c59a2a873ee2cd1bed,Multi-cue pedestrian classification with partial occlusion handling,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 41971dfbf404abeb8cf73fea29dc37b9aae12439,Detection of Facial Feature Points Using Anthropometric Face Model,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 411278b73afedca6976f02a8d3a38cdec3337f87,Cross-view projective dictionary learning for person re-identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 411278b73afedca6976f02a8d3a38cdec3337f87,Cross-view projective dictionary learning for person re-identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 411278b73afedca6976f02a8d3a38cdec3337f87,Cross-view projective dictionary learning for person re-identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 412b3ef02c85087e5f1721176114672c722b17a4,A Taxonomy of Deep Convolutional Neural Nets for Computer Vision,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +412b3ef02c85087e5f1721176114672c722b17a4,A Taxonomy of Deep Convolutional Neural Nets for Computer Vision,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 412b3ef02c85087e5f1721176114672c722b17a4,A Taxonomy of Deep Convolutional Neural Nets for Computer Vision,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, 412b3ef02c85087e5f1721176114672c722b17a4,A Taxonomy of Deep Convolutional Neural Nets for Computer Vision,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 419550e7b918c64785f087b17f7fde6c94bc6d4e,Distributional semantics with eyes: using image analysis to improve computational representations of word meaning,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 419550e7b918c64785f087b17f7fde6c94bc6d4e,Distributional semantics with eyes: using image analysis to improve computational representations of word meaning,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +41decbe12a8aa7996163636e09d1ce1372c271cd,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,China,China,China,35.86166000,104.19539700,edu, 41f26101fed63a8d149744264dd5aa79f1928265,Spot On: Action Localization from Pointly-Supervised Proposals,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 41f26101fed63a8d149744264dd5aa79f1928265,Spot On: Action Localization from Pointly-Supervised Proposals,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 416b559402d0f3e2b785074fcee989d44d82b8e5,Multi-view Super Vector for Action Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 416b559402d0f3e2b785074fcee989d44d82b8e5,Multi-view Super Vector for Action Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 41b1069c06735a20f9b4281001285ee2167da309,Intra-view and inter-view supervised correlation analysis for multi-view feature learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 41b1069c06735a20f9b4281001285ee2167da309,Intra-view and inter-view supervised correlation analysis for multi-view feature learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +41b1069c06735a20f9b4281001285ee2167da309,Intra-view and inter-view supervised correlation analysis for multi-view feature learning,China,China,China,35.86166000,104.19539700,edu, 41b1069c06735a20f9b4281001285ee2167da309,Intra-view and inter-view supervised correlation analysis for multi-view feature learning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 41d9fbf55ea7142b13b68d8ddfe764896569cd32,Efficient Mining of Frequent and Distinctive Feature Configurations,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +41d9fbf55ea7142b13b68d8ddfe764896569cd32,Efficient Mining of Frequent and Distinctive Feature Configurations,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 416087bc2df1e5150231d85b8103d816fc32a2a3,Local normal binary patterns for 3D facial action unit detection,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 416087bc2df1e5150231d85b8103d816fc32a2a3,Local normal binary patterns for 3D facial action unit detection,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 41aa8c1c90d74f2653ef4b3a2e02ac473af61e47,Compositional Structure Learning for Action Understanding,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, @@ -3779,9 +4615,12 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 411dc8874fd7b3a9a4c1fd86bb5b583788027776,Direct Shape Regression Networks for End-to-End Face Alignment,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 411dc8874fd7b3a9a4c1fd86bb5b583788027776,Direct Shape Regression Networks for End-to-End Face Alignment,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 41573c31c21a7057cc8c4a35d09ca479ffc44ba1,Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +4192454749b4fc4a95348e7260c2f5c56a06cafd,Image retrieval using efficient feature vectors generated from compressed domain,Finland,Finland,Finland,61.92411000,25.74815110,edu, 41f31c696b5f7b6458b7b21fc365b9b673d5691b,Skin and Bones: The Contribution of Skin Tone and Facial Structure to Racial Prototypicality Ratings,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 4168fd6fd9e672223fefc9706596121d653e39ff,Early and late stage processing abnormalities in autism spectrum disorders: An ERP study,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu, +4168fd6fd9e672223fefc9706596121d653e39ff,Early and late stage processing abnormalities in autism spectrum disorders: An ERP study,China,China,China,35.86166000,104.19539700,edu, 4168fd6fd9e672223fefc9706596121d653e39ff,Early and late stage processing abnormalities in autism spectrum disorders: An ERP study,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, +4156746cdc99a509549c4028c7122eb6dc90b1a1,CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 4156746cdc99a509549c4028c7122eb6dc90b1a1,CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 41e1084e74564ced3e1fa845250162d6d0f2b9c3,A Texture-based Approach to Face Detection,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, 4136a4c4b24c9c386d00e5ef5dffdd31ca7aea2c,Multi-Modal Person-Profiles from Broadcast News Video,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -3792,7 +4631,9 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 4116a02abfb2a054a32b92fdf4edafa5f8684f10,Highway Vehicle Counting in Compressed Domain,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 412a82b94129477d3cce2f737365219103715db2,A novel symbolization technique for time-series outlier detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 412a82b94129477d3cce2f737365219103715db2,A novel symbolization technique for time-series outlier detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, +41c1b8f319e27be0c77c3b33cf877c29b1676501,"Face Recognition based on Radon Transform , PCA , LDA using KNN and SVM",India,India,India,20.59368400,78.96288000,edu, 417df443367334351111a064a601355450b2531f,Building structural similarity database for metric learning,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, +4188bd3ef976ea0dec24a2512b44d7673fd4ad26,Nonlinear Non-Negative Component Analysis Algorithms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 41cbf0750fa0d08880068f9a89be92232795f357,Can the Early Human Visual System Compete with Deep Neural Networks?,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 41199678ad9370ff8ca7e9e3c2617b62a297fac3,Multitask Deep Learning models for real-time deployment in embedded systems,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, 4119a7bf09a59e4e8a409c74a8fa338336f5ca52,Fusion of stereo camera and MIMO-FMCW radar for pedestrian tracking in indoor environments,University of Stuttgart,University of Stuttgart,"Pädagogische Hochschule Ludwigsburg, 46, Reuteallee, Ludwigsburg-Nord, Ludwigsburg, Landkreis Ludwigsburg, Regierungsbezirk Stuttgart, Baden-Württemberg, 71634, Deutschland",48.90953380,9.18318920,edu, @@ -3803,6 +4644,7 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 4135004c75a361c91311314fc588d229a7107526,InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 4135004c75a361c91311314fc588d229a7107526,InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 4156f9fc5983b09eb97ad3d9abc248b15440b955,"Subspace Methods for Face Recognition: Singularity, Regularization, and Robustness",Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +4156f9fc5983b09eb97ad3d9abc248b15440b955,"Subspace Methods for Face Recognition: Singularity, Regularization, and Robustness",China,China,China,35.86166000,104.19539700,edu, 41c87d3342a85712a3591b6d49d99be8fc8d35d9,Face-trait inferences show robust child – adult agreement : Evidence from three types of faces,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 41edd975efbbc5af28971bc2669d9a1ae6ee8ace,PCN: Point Completion Network,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 41be021880a916305c82199ddc2298eb271f6590,Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, @@ -3814,9 +4656,12 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 419f05c5888804e0a9d9f2dc60839f2d8d65a7a6,Image Feature Extraction Using 2 D,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, 4189862b2ce9c71e1b451deb58dd42f50c7d04a1,Autistic trait interactions underlie sex-dependent facial recognition abilities in the normal population,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 4189862b2ce9c71e1b451deb58dd42f50c7d04a1,Autistic trait interactions underlie sex-dependent facial recognition abilities in the normal population,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +4189862b2ce9c71e1b451deb58dd42f50c7d04a1,Autistic trait interactions underlie sex-dependent facial recognition abilities in the normal population,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 416364cfdbc131d6544582e552daf25f585c557d,Synthesis and recognition of facial expressions in virtual 3D views,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 4189f93e1fbe8119f43f52c45ef320e33f45685d,Pattern Recognition and String Matching,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 410c8e4ee643889c054db64f52f6c85ec7cbcd62,All-Day Visual Place Recognition : Benchmark Dataset and Baseline,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +414315d44a489d09c6e1933033ffba6396974ee1,Video Visual Relation Detection,China,China,China,35.86166000,104.19539700,edu, +414315d44a489d09c6e1933033ffba6396974ee1,Video Visual Relation Detection,China,China,China,35.86166000,104.19539700,edu, 414315d44a489d09c6e1933033ffba6396974ee1,Video Visual Relation Detection,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 41612c66beaad320af9b7d34407c7d0f4ca7bfea,Inhibition or Ideology ? The Neural Mechanisms of Evaluating Race-Targeted Government Assistance,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu, 84036eb97d011ed2d7c9e4eb14fa346b5347c0ad,Revisiting Pre-training: An Efficient Training Method for Image Classification,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, @@ -3840,6 +4685,7 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 8488610866b29f279461f67ae948a3cfc72f6961,Sign language recognition using dynamic time warping and hand shape distance based on histogram of oriented gradient features,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 845145e7756d0fc10f74e7e40c0dfc513189425a,VizWiz Grand Challenge: Answering Visual Questions From Blind People,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 844bfcee3bc559960ae7a2b1fd68fcf7a926dc5a,SPICE: Semantic Propositional Image Caption Evaluation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +844bfcee3bc559960ae7a2b1fd68fcf7a926dc5a,SPICE: Semantic Propositional Image Caption Evaluation,Macquarie University,"Macquarie University, Sydney, Australia","Balaclava Rd, Macquarie Park NSW 2109, Australia",-33.77382370,151.11264980,edu, 845299d67c87dc7f5f610b0c4380feb4daa4d0cc,Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 845299d67c87dc7f5f610b0c4380feb4daa4d0cc,Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 845299d67c87dc7f5f610b0c4380feb4daa4d0cc,Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, @@ -3855,37 +4701,53 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 841855205818d3a6d6f85ec17a22515f4f062882,Low Resolution Face Recognition in the Wild,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 84676c330e4f8962703ca531db761c96bfda8067,Scalable misbehavior detection in online video chat services,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 847e07387142c1bcc65035109ccce681ef88362c,Feature Synthesis Using Genetic Programming for Face Expression Recognition,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, +84b451a5749837d28af5e96fd3349d852fefe4f2,A Robust Face Recognition Approach through Different Local Features,India,India,India,20.59368400,78.96288000,edu, +84b451a5749837d28af5e96fd3349d852fefe4f2,A Robust Face Recognition Approach through Different Local Features,India,India,India,20.59368400,78.96288000,edu, +846f3857976ba437e0592a848e47f6a3370880a3,SERSC 3 D Face Recognition Based on Depth and Intensity Gabor Features using Symbolic PCA and AdaBoost,India,India,India,20.59368400,78.96288000,edu, 84e21140422935d0a18ef0a616ed1ce1541112b0,Probabilistic Joint Face-Skull Modelling for Facial Reconstruction,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, 8481d4160bf5a9c760b5c4de60c82f102492317b,Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 841bf196ee0086c805bd5d1d0bddfadc87e424ec,Locally Kernel-based Nonlinear Regression for Face Recognition,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 841bf196ee0086c805bd5d1d0bddfadc87e424ec,Locally Kernel-based Nonlinear Regression for Face Recognition,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, 8489236bbbb3298f4513c7e005a85ba7a48cc946,Vision and Touch for Grasping,Ruhr-University Bochum,Ruhr-University Bochum,"RUB, 150, Universitätsstraße, Ruhr-Universität, Querenburg, Bochum-Süd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland",51.44415765,7.26096541,edu, +841a5de1d71a0b51957d9be9d9bebed33fb5d9fa,PCANet: A Simple Deep Learning Baseline for Image Classification?,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 84c0f814951b80c3b2e39caf3925b56a9b2e1733,16 Computation and Palaeography : Potentials and Limits,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 84a0f6db2b7155a83728101728794713898a859a,Learning 3D Keypoint Descriptors for Non-rigid Shape Matching,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 841c16f0e724fca3209a7a83fae94bec1eaae01c,"A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +84eb543a649f7331403caef6aaf96177c6cf5571,Automatic Rank Determination in Projective Nonnegative Matrix Factorization,Finland,Finland,Finland,61.92411000,25.74815110,edu, 8432320153aa3a348138e27ef80ae3e8631bb6f8,Optimization of neural networks via finite-value quantum fluctuations,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 846652200134bd02c65c502a4e587a11592479a4,Survey on Vision-based Path Prediction,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu, 846652200134bd02c65c502a4e587a11592479a4,Survey on Vision-based Path Prediction,Hiroshima University,Hiroshima University,"Hiroshima University 広島大学 東広島キャンパス, 出会いの道 Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu, 848db2f0758c314ddbc0bc4030633501df3a9276,TextMountain: Accurate Scene Text Detection via Instance Segmentation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +848db2f0758c314ddbc0bc4030633501df3a9276,TextMountain: Accurate Scene Text Detection via Instance Segmentation,China,China,China,35.86166000,104.19539700,edu, 84c01c9760cd294718bd7c4b4c93596db1e5e068,Unsupervised Monocular Depth Estimation with Left-Right Consistency,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 842ad1d5b6ea8a982be544b562ec91d907f879bd,Synthesis-Based Low-Cost Gaze Analysis,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +8408f4b1193e8db25fec818a989d9fe3194d5ea6,Face Recognition using Radon Transform and Symbolic LDA,India,India,India,20.59368400,78.96288000,edu, +8408f4b1193e8db25fec818a989d9fe3194d5ea6,Face Recognition using Radon Transform and Symbolic LDA,India,India,India,20.59368400,78.96288000,edu, +84af83ff6412a756df58b6436f0d2e3c049e1f12,Abnormality Detection with Improved Histogram of Oriented Tracklets,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b,GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 84ca27f04b83da90a8e3020ef17316032e22f45e,Learning Image Matching by Simply Watching Video,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 84ca27f04b83da90a8e3020ef17316032e22f45e,Learning Image Matching by Simply Watching Video,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +84ca27f04b83da90a8e3020ef17316032e22f45e,Learning Image Matching by Simply Watching Video,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 42efcb8cac3889ac25368770058e000249f68d13,Analysing Soft Clothing Biometrics for Retrieval,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 42e9bfa84eecbafe32e1d2f5d52acfd617b57d18,Exploiting Temporal Information for 3D Human Pose Estimation,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 42fe5666599f35b805657e829e8f9093ee95b908,Pose-Tolerant Face Recognition Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Electrical and Computer Engineering,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 42fe5666599f35b805657e829e8f9093ee95b908,Pose-Tolerant Face Recognition Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Electrical and Computer Engineering,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +422fc05b3ef72e96c87b9aa4190efa7c7fb8c170,Preprocessing Technique for Face Recognition Applications under Varying Illumination Conditions By,India,India,India,20.59368400,78.96288000,edu, +423e0f595365640b653c1195749e01394cbcd937,Web-Scale Responsive Visual Search at Bing,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 421046882e42a0572c8654ae1df06bc789088c2f,Human Semantic Parsing for Person Re-identification,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 421046882e42a0572c8654ae1df06bc789088c2f,Human Semantic Parsing for Person Re-identification,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 42f422a9a67ba71a9ac699205940d8cc2dca8317,On-demand Learning for Deep Image Restoration,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 426f20cf5f836f410b6ed31a990ed1bbaaf6733b,UNLOCKING THE URBAN PHOTOGRAPHIC RECORD THROUGH 4 D SCENE MODELING,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 4276eb27e2e4fc3e0ceb769eca75e3c73b7f2e99,Face Recognition From Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 421a7b0b6cf45ccba3df41a99fbb272d324489d9,Facilitating Autism Research.,University of Connecticut,University of Connecticut,"University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA",41.80937790,-72.25364140,edu, +4244d3340304b114e5c00e7b5797d2338a5c2b82,Face Recognition Using Local Texture Feature,India,India,India,20.59368400,78.96288000,edu, 422e46aa845435822b7d93c2fb9103cd94128a21,PKU-NEC @ TRECVid 2012 SED : Uneven-Sequence Based Event Detection in Surveillance Video,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +422e46aa845435822b7d93c2fb9103cd94128a21,PKU-NEC @ TRECVid 2012 SED : Uneven-Sequence Based Event Detection in Surveillance Video,China,China,China,35.86166000,104.19539700,edu, 423b941641728a21e37f41359a691815cdd84ceb,Reversible Recursive Instance-Level Object Segmentation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 427f40b7b3e5b41909050d66a94ecf34fa57adaa,Learning Personal Specific Facial Dynamics for Face Recognition from Videos,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 427f40b7b3e5b41909050d66a94ecf34fa57adaa,Learning Personal Specific Facial Dynamics for Face Recognition from Videos,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +427f40b7b3e5b41909050d66a94ecf34fa57adaa,Learning Personal Specific Facial Dynamics for Face Recognition from Videos,China,China,China,35.86166000,104.19539700,edu, +42e3dac0df30d754c7c7dab9e1bb94990034a90d,PANDA: Pose Aligned Networks for Deep Attribute Modeling,University of California at Berkeley,"International Computer Science Institute, University of California at Berkeley, Berkeley, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu, 42ea8a96eea023361721f0ea34264d3d0fc49ebd,Parameterized Principal Component Analysis,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, 429961112a9b4f08f6b68acce8868b3468d72c6e,Learning Dilation Factors for Semantic Segmentation of Street Scenes,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 42ded74d4858bea1070dadb08b037115d9d15db5,Exigent: An Automatic Avatar Generation System,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -3894,6 +4756,7 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 42afe6d016e52c99e2c0d876052ade9c192d91e7,Spontaneous vs. posed facial behavior: automatic analysis of brow actions,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 4223666d1b0b1a60c74b14c2980069905088edc6,A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 42a712dbfe07262ba2b479e800008f08ad1c1388,Learning to Sample Using Stein Discrepancy,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, +42350e28d11e33641775bef4c7b41a2c3437e4fd,Multilinear Discriminant Analysis for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 428cfbd3c237d04edb06690a7e9e9a40c62fc8da,"Algorithmic clothing: hybrid recommendation, from street-style-to-shop",University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 428cfbd3c237d04edb06690a7e9e9a40c62fc8da,"Algorithmic clothing: hybrid recommendation, from street-style-to-shop",Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 42d9ddd942ec89a3fc6a7beed174fd75c3dabff7,The Conditional Lucas & Kanade Algorithm,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -3908,7 +4771,8 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 4223917177405eaa6bdedca061eb28f7b440ed8e,B-spline Shape from Motion & Shading: An Automatic Free-form Surface Modeling for Face Reconstruction,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 4223917177405eaa6bdedca061eb28f7b440ed8e,B-spline Shape from Motion & Shading: An Automatic Free-form Surface Modeling for Face Reconstruction,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 4223917177405eaa6bdedca061eb28f7b440ed8e,B-spline Shape from Motion & Shading: An Automatic Free-form Surface Modeling for Face Reconstruction,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, -4233b07033a1ef8af188383f30602a5fd0aa2181,Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +4233b07033a1ef8af188383f30602a5fd0aa2181,Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +4233b07033a1ef8af188383f30602a5fd0aa2181,Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 42fc202713cb5205bba8be8a3b85a8be1e65d63f,QCC: A novel cluster algorithm based on Quasi-Cluster Centers,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, 42f66e1639b5b80318f68dc31ebc404b1153432c,ON LOCAL FEATURES FOR FACE VERIFICATION,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 42c1111c9cbb74b2755f58c6e9e84e7d1d11cc6e,Object Recognition Based on Amounts of Unlabeled Data,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu, @@ -3932,7 +4796,7 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 42c04e2300fcbaa342e444e0555b89bc41aa3693,Efficient Single-Shot Multibox Detector for Construction Site Monitoring.,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 42c04e2300fcbaa342e444e0555b89bc41aa3693,Efficient Single-Shot Multibox Detector for Construction Site Monitoring.,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 42c04e2300fcbaa342e444e0555b89bc41aa3693,Efficient Single-Shot Multibox Detector for Construction Site Monitoring.,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, -4259f9b7700b060bda58630c4f2e2da9f0fedad6,Eye Gaze Correction with a Single Webcam Based on Eye-Replacement,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +4259f9b7700b060bda58630c4f2e2da9f0fedad6,Eye Gaze Correction with a Single Webcam Based on Eye-Replacement,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, 4203f10b41e7931a63598989aa14478c04b725c9,Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 4226c9b155ef3c5c78bd122d870fec42ae695ad7,What is the Right Illumination Normalization for Face Recognition,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, 4226c9b155ef3c5c78bd122d870fec42ae695ad7,What is the Right Illumination Normalization for Face Recognition,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, @@ -3943,6 +4807,10 @@ b8af24279c58a718091817236f878c805a7843e1,Context Aware Anomalous Behaviour Detec 428d1777846efa8e86b694791b8dbf114e188f30,Towards 4D Coupled Models of Conversational Facial Expression Interactions,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, 428d1777846efa8e86b694791b8dbf114e188f30,Towards 4D Coupled Models of Conversational Facial Expression Interactions,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, fa518a033b1f6299d1826389bd1520cf52291b56,Facial Age Simulation using Age-specific 3D Models and Recursive PCA,Cyprus University of Technology,Cyprus University of Technology,"Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - Λεμεσός, Limassol - Λεμεσός, Κύπρος - Kıbrıs, 3036, Κύπρος - Kıbrıs",34.67567405,33.04577648,edu, +fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,India,India,India,20.59368400,78.96288000,edu, +fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,India,India,India,20.59368400,78.96288000,edu, +fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,India,India,India,20.59368400,78.96288000,edu, +fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,India,India,India,20.59368400,78.96288000,edu, fa3fb32fe0cd392960549b0adb7a535eb3656abd,The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, fa3fb32fe0cd392960549b0adb7a535eb3656abd,The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, faf73a84c9ce13cdfc9014fa89ecde9927c8c84a,Meta Networks for Neural Style Transfer,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, @@ -3962,42 +4830,63 @@ fa43b7ee7dbd821745a3046328544fd8d39d3961,An Intriguing Influence of Visual Data faeefc5da67421ecd71d400f1505cfacb990119c,PastVision+: Thermovisual Inference of Recent Medicine Intake by Detecting Heated Objects and Cooled Lips,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, faeefc5da67421ecd71d400f1505cfacb990119c,PastVision+: Thermovisual Inference of Recent Medicine Intake by Detecting Heated Objects and Cooled Lips,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, fae83b145e5eeda8327de9f19df286edfaf5e60c,TOWARDS AN INTERACTIVE E-LEARNING SYSTEM BASED ON EMOTIONS AND AFFECTIVE COGNITION,Ionian University,Ionian University,"Πανεπιστήμιο Πατρών, Λεωφ. Ιπποκράτους, κ. Ρίου (Αγίου Γεωργίου Ρίου), Πάτρα, Δήμος Πατρέων, Περιφερειακή Ενότητα Αχαΐας, Περιφέρεια Δυτικής Ελλάδας, Πελοπόννησος, Δυτική Ελλάδα και Ιόνιο, 26443, Ελλάδα",38.28994820,21.78864690,edu, +fa356a677a4258408f6d3901ef7b450ad1ad9edf,A Review of Numerous Facial Recognition Techniques in Image Processing,India,India,India,20.59368400,78.96288000,edu, fa9aabaa364732ddfb1d228cb8e93fa12c3bf52c,Facial Features Extraction based on Active Shape Model,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +fa9aabaa364732ddfb1d228cb8e93fa12c3bf52c,Facial Features Extraction based on Active Shape Model,China,China,China,35.86166000,104.19539700,edu, fa9aabaa364732ddfb1d228cb8e93fa12c3bf52c,Facial Features Extraction based on Active Shape Model,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, fa9aabaa364732ddfb1d228cb8e93fa12c3bf52c,Facial Features Extraction based on Active Shape Model,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, fa747db22e9e6cd7a64019eec6e0dd53e94be4b3,DGPose: Disentangled Semi-supervised Deep Generative Models for Human Body Analysis,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, fa33e20a3265d9a506c11a392cde9c367c30284e,Commonsense Justification for Action Explanation,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +fa83597bf71dbeb606bca6593bcef8ecd51e8661,MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES,India,India,India,20.59368400,78.96288000,edu, +fa83597bf71dbeb606bca6593bcef8ecd51e8661,MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES,India,India,India,20.59368400,78.96288000,edu, faa3b7034b89c9ab7ca5360a14311f2fd36ef7b9,AutoFocus: Efficient Multi-Scale Inference,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, fac6b4562053853db517ff6511c6daff2e6a1a7b,Deep Low-Resolution Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +fac6b4562053853db517ff6511c6daff2e6a1a7b,Deep Low-Resolution Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, fac6b4562053853db517ff6511c6daff2e6a1a7b,Deep Low-Resolution Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +fac6b4562053853db517ff6511c6daff2e6a1a7b,Deep Low-Resolution Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, fac6b4562053853db517ff6511c6daff2e6a1a7b,Deep Low-Resolution Person Re-Identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +fa8c73899c22b461cc062a10b6df20fccb18800c,A Novel Framework for Face Recognition in Real-Time Environments Tmt .,India,India,India,20.59368400,78.96288000,edu, +fa8c73899c22b461cc062a10b6df20fccb18800c,A Novel Framework for Face Recognition in Real-Time Environments Tmt .,India,India,India,20.59368400,78.96288000,edu, fae76d0e710545972807f18e45936ec5c6f1fe5d,RPIfield : A New Dataset for Temporally Evaluating Person Re-Identification ∗,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, fa72b7140f9fa4fb975344109e597e9566c65f4a,Automatic 3D Face Recognition Using Discriminant Common Vectors,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, fa50b5a54aa340d6fe7f46feb02229f1ab0f12c0,Joint Image Captioning and Question Answering,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, fa2d02343be1de448ac51c3a668c29f231b362f8,RAM: A Region-Aware Deep Model for Vehicle Re-Identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, fa2d02343be1de448ac51c3a668c29f231b362f8,RAM: A Region-Aware Deep Model for Vehicle Re-Identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, faa29975169ba3bbb954e518bc9814a5819876f6,Evolution-Preserving Dense Trajectory Descriptors,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, +fa1b849697115ceede0a08ac552ea25ce2bf33a1,A N APPROACH TO F ACE R ECOGNITION OF 2-D IMAGES USING E IGEN F ACES AND PCA,India,India,India,20.59368400,78.96288000,edu, fa5aca45965e312362d2d75a69312a0678fdf5d7,Fast and Accurate Head Pose Estimation via Random Projection Forests : Supplementary Material,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +fab60b3db164327be8588bce6ce5e45d5b882db6,Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu, +fab60b3db164327be8588bce6ce5e45d5b882db6,Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu, faef5bedb0b1e92730febce4e6af33b803bd463a,GANimation: Anatomically-Aware Facial Animation from a Single Image,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, faacebeb542792fae28745f51a943892be8d36a6,A Simple Yet Effective Baseline for 3d Human Pose Estimation,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, fa4e709a7008248869584feca81250a8da8291e4,Biometric Quantization through Detection Rate Optimized Bit Allocation,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +fa4e709a7008248869584feca81250a8da8291e4,Biometric Quantization through Detection Rate Optimized Bit Allocation,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, fa4f59397f964a23e3c10335c67d9a24ef532d5c,"DAP3D-Net: Where, what and how actions occur in videos?",Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, fa90b825346a51562d42f6b59a343b98ea2e501a,Modeling Naive Psychology of Characters in Simple Commonsense Stories,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, fa90b825346a51562d42f6b59a343b98ea2e501a,Modeling Naive Psychology of Characters in Simple Commonsense Stories,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, fa93e027e795e98405dc72f123aadebafc5d80d8,Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, fa975dbeaf5db5629772bfa76d6d4104267361a2,Active Deformable Part Models,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +fabbebafe1f7b1680f66edc8b4fff345658a58c3,Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm,India,India,India,20.59368400,78.96288000,edu, fabbebafe1f7b1680f66edc8b4fff345658a58c3,Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +fabbebafe1f7b1680f66edc8b4fff345658a58c3,Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm,India,India,India,20.59368400,78.96288000,edu, +fabbebafe1f7b1680f66edc8b4fff345658a58c3,Face recognition by fusion of local and global matching scores using DS theory: An evaluation with uni-classifier and multi-classifier paradigm,India,India,India,20.59368400,78.96288000,edu, fab04dfcb35a29a46504d2ad3acbc642c602c7e8,Trajectory-based 3 D Convolutional Descriptors for Action Recognition in Videos,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, 6759fd391e3f8a1aea7673d617d3e1b04d069804,Pose Flow: Efficient Online Pose Tracking,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +6759fd391e3f8a1aea7673d617d3e1b04d069804,Pose Flow: Efficient Online Pose Tracking,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 6779b1ebdae5e3af812ce075611f2cb00073af82,Multiview Supervision By Registration,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 6779b1ebdae5e3af812ce075611f2cb00073af82,Multiview Supervision By Registration,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 673736d515ecc387657c9f24d85056ec05c7a5e4,Learning mappings for face synthesis from near infrared to visual light images,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 673736d515ecc387657c9f24d85056ec05c7a5e4,Learning mappings for face synthesis from near infrared to visual light images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +673736d515ecc387657c9f24d85056ec05c7a5e4,Learning mappings for face synthesis from near infrared to visual light images,China,China,China,35.86166000,104.19539700,edu, 673736d515ecc387657c9f24d85056ec05c7a5e4,Learning mappings for face synthesis from near infrared to visual light images,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +6742c0a26315d7354ab6b1fa62a5fffaea06da14,What does 2 D geometric information really tell us about 3 D face shape ?,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 674e739709537f0e562b6cf114f15a5cc57fde7e,Nonsubsampled Contourlet Transform Based Descriptors for Gender Recognition,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, 6754c98ba73651f69525c770fb0705a1fae78eb5,Joint Cascade Face Detection and Alignment,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, -6754c98ba73651f69525c770fb0705a1fae78eb5,Joint Cascade Face Detection and Alignment,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +6754c98ba73651f69525c770fb0705a1fae78eb5,Joint Cascade Face Detection and Alignment,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 676a136f5978783f75b5edbb38e8bb588e8efbbe,Matrix completion for resolving label ambiguity,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +679136c2844eeddca34e98e483aca1ff6ef5e902,Scene-Specific Pedestrian Detection Based on Parallel Vision,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +6775c818b26263c885b0ce85c224dfd942c9652e,PEDESTRIAN AND OBJECT DETECTION USING LEARNED CONVOLUTIONAL FILTERS,Romania,Romania,Romania,45.94316100,24.96676000,edu, +6775c818b26263c885b0ce85c224dfd942c9652e,PEDESTRIAN AND OBJECT DETECTION USING LEARNED CONVOLUTIONAL FILTERS,Romania,Romania,Romania,45.94316100,24.96676000,edu, 67fdf4f9eccdf295baf1cbd8b33250d29a334daf,Bidirectional Long-Short Term Memory for Video Description,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 671bfefb22d2044ab3e4402703bb88a10a7da78a,Triple consistency loss for pairing distributions in GAN-based face synthesis.,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 672e492d25510d0cc7fd4d06da0acb8934bd8a64,Compensating inaccurate annotations to train 3D facial landmark localization models,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, @@ -4012,6 +4901,8 @@ fab04dfcb35a29a46504d2ad3acbc642c602c7e8,Trajectory-based 3 D Convolutional Desc 67ab22dff1c21e8680f94948d80b77314b325d66,Learning for MultiTask Classification of Visual Attributes,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 67ab22dff1c21e8680f94948d80b77314b325d66,Learning for MultiTask Classification of Visual Attributes,University of Ioannina,University of Ioannina,"Πανεπιστήμιο Ιωαννίνων, Πανεπιστημίου, Κάτω Νεοχωρόπουλο, Νεοχωρόπουλο, Δήμος Ιωαννιτών, Π.Ε. Ιωαννίνων, Περιφέρεια Ηπείρου, Ήπειρος - Δυτική Μακεδονία, 45110, Ελλάδα",39.61623060,20.83963011,edu, 6729fec79b6cb472b4326745a67c6dde5772ed95,Large-Scale Visual Active Learning with Deep Probabilistic Ensembles,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +67a3cc056a539d17f00b0be550a2fc7cb2118dc5,Scalable Image Retrieval by Sparse Product Quantization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +67a3cc056a539d17f00b0be550a2fc7cb2118dc5,Scalable Image Retrieval by Sparse Product Quantization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 67a3cc056a539d17f00b0be550a2fc7cb2118dc5,Scalable Image Retrieval by Sparse Product Quantization,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 67e3fac91c699c085d47774990572d8ccdc36f15,Multiple Skip Connections and Dilated Convolutions for Semantic Segmentation,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu, 67e3fac91c699c085d47774990572d8ccdc36f15,Multiple Skip Connections and Dilated Convolutions for Semantic Segmentation,Chubu University,Chubu University,"中部大学, 国道19号, 春日井市, 愛知県, 中部地方, 487-8501, 日本",35.27426550,137.01327841,edu, @@ -4024,7 +4915,11 @@ fab04dfcb35a29a46504d2ad3acbc642c602c7e8,Trajectory-based 3 D Convolutional Desc 67538df7950dbba0ab7885a23b7abf6f56f39537,Person Re-identification by Salience Matching,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 67c563d59e73a4d314e53eaa79dfcc59bdad92f4,Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 67c563d59e73a4d314e53eaa79dfcc59bdad92f4,Leveraging Dynamics in Computer Vision Problems: User Friendly and Theoretically Sound Tools,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +676c76c4e3ac2f91a2209ecdae8d20be4de7c9c0,Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System,India,India,India,20.59368400,78.96288000,edu, +676c76c4e3ac2f91a2209ecdae8d20be4de7c9c0,Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System,India,India,India,20.59368400,78.96288000,edu, +676c76c4e3ac2f91a2209ecdae8d20be4de7c9c0,Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System,India,India,India,20.59368400,78.96288000,edu, 67134d7bf637f7ac4e354bcb374d7c28c7740ab8,Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +67134d7bf637f7ac4e354bcb374d7c28c7740ab8,Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface,China,China,China,35.86166000,104.19539700,edu, 67134d7bf637f7ac4e354bcb374d7c28c7740ab8,Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 677ebde61ba3936b805357e27fce06c44513a455,Facial Expression Recognition Based on Facial Components Detection and HOG Features,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 671697cf84dfbe53a1cb0bed29b9f649c653bbc5,Multispectral Deep Neural Networks for Pedestrian Detection,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, @@ -4033,28 +4928,40 @@ fab04dfcb35a29a46504d2ad3acbc642c602c7e8,Trajectory-based 3 D Convolutional Desc 679b7fa9e74b2aa7892eaea580def6ed4332a228,UvA-DARE ( Digital Academic Repository ) Communication and Automatic Interpretation of Affect from Facial Expressions,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 679b7fa9e74b2aa7892eaea580def6ed4332a228,UvA-DARE ( Digital Academic Repository ) Communication and Automatic Interpretation of Affect from Facial Expressions,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 679b7fa9e74b2aa7892eaea580def6ed4332a228,UvA-DARE ( Digital Academic Repository ) Communication and Automatic Interpretation of Affect from Facial Expressions,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +6789bddbabf234f31df992a3356b36a47451efc7,Unsupervised Generation of Free-Form and Parameterized Avatars.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +67e488d4d31d65a31d4bc2a3337c587720af2a12,Cross-Class Sample Synthesis for Zero-shot Learning,China,China,China,35.86166000,104.19539700,edu, 67c08e2b8b918a61dcbd0d4c63a74b89b833d259,Multi-class texture analysis in colorectal cancer histology,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu, 676f9eabf4cfc1fd625228c83ff72f6499c67926,Face Identification and Clustering,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, 673d4885370b27c863e11a4ece9189a6a45931cc,Recurrent Residual Module for Fast Inference in Videos,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 676733fb6d457401962305204155d6f4b7df5059,An overview of face de-identification in still images and videos,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 67190da5e5503ac2d9618b4f5fbe42701aee4ce3,Improving Object Tracking by Adapting Detectors,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +67fd4f209aa6e8359fc86bdc12c62bbdb0529077,Scalable Nearest Neighbor Algorithms for High Dimensional Data,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, eb6ee56e085ebf473da990d032a4249437a3e462,Age/gender classification with whole-component convolutional neural networks (WC-CNN),University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, eb4d7688cd03f3863a175149f5fa293140f9df30,On classification of distorted images with deep convolutional neural networks,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, eba3fd6a446cb043c0347c9b4ce40567f1ce9110,Multi-task Relative Attributes Prediction by Incorporating Local Context and Global Style Information Features,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, eb22aecb7b59ab01acdf498b33f5ba9ef1b64f64,A Multiple Motion Model Tracker Handling Occlusion and Rapid Motion Variation,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, eb91eb5912de3d15f052a94cd0a188f553df90e7,On Detecting Domestic Abuse via Faces,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, eb027969f9310e0ae941e2adee2d42cdf07d938c,VGGFace2: A Dataset for Recognising Faces across Pose and Age,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +eb044760b6502431da6b6f3d5ad11aaab851a1ff,Video Storytelling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ebca525383c4c451e97e801f2e2532d65e88dfeb,A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, ebb0a67e17f26dbb829b8a6b4b02d412a589efe7,Variational Inference for Beta-Bernoulli Dirichlet Process Mixture Models,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +ebb7cc67df6d90f1c88817b20e7a3baad5dc29b9,Fast algorithms for Higher-order Singular Value Decomposition from incomplete data,University of Alabama,University of Alabama,"Tuscaloosa, AL 35487, USA",33.21402330,-87.53914180,edu, +ebe95ea3d1568c70ae49e19428be1cb401fb3df2,Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment,China,China,China,35.86166000,104.19539700,edu, +ebe95ea3d1568c70ae49e19428be1cb401fb3df2,Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment,China,China,China,35.86166000,104.19539700,edu, +ebe95ea3d1568c70ae49e19428be1cb401fb3df2,Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment,China,China,China,35.86166000,104.19539700,edu, +ebe95ea3d1568c70ae49e19428be1cb401fb3df2,Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment,China,China,China,35.86166000,104.19539700,edu, eb0cf5727275f89323e2cbb4c0f0515b8ece75f8,A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, ebd28f04c2ab1e61430d309ecbf7c832173d65a5,Feedback based Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, ebd28f04c2ab1e61430d309ecbf7c832173d65a5,Feedback based Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, ebd28f04c2ab1e61430d309ecbf7c832173d65a5,Feedback based Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, eb2d1d406405537773e70f7e949df656ee8779aa,ShapeLearner: Towards Shape-Based Visual Knowledge Harvesting,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, +eb6243b1c9506f9450dab2a09db9c17fc2c2d364,D Face Recognition system Based on Texture Gabor Features using PCA and Support Vector Machine as a Classifier,India,India,India,20.59368400,78.96288000,edu, +eb6243b1c9506f9450dab2a09db9c17fc2c2d364,D Face Recognition system Based on Texture Gabor Features using PCA and Support Vector Machine as a Classifier,India,India,India,20.59368400,78.96288000,edu, ebe44c125f6d5c893df73d20b602e479a38e5b23,Algorithmic Identification of Looted Archaeological Sites from Space,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, eb7b387a3a006609b89ca5ed0e6b3a1d5ecb5e5a,Facial Expression Recognition using Neural Network,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, eb43002e771de05db5e3e7e8eb6fcc75de0e30c4,Dataset Localization / Segmentation By dCNN Top Garments Bottom Garments Feature Extraction Feature Extraction Top Bottom A Table of Joint Distribution Inventory Dataset Localization / Segmentation By dCNN Feature Extraction Query garment Localization / Segmentation By dCNN Feature Extraction Recomm,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, eb43002e771de05db5e3e7e8eb6fcc75de0e30c4,Dataset Localization / Segmentation By dCNN Top Garments Bottom Garments Feature Extraction Feature Extraction Top Bottom A Table of Joint Distribution Inventory Dataset Localization / Segmentation By dCNN Feature Extraction Query garment Localization / Segmentation By dCNN Feature Extraction Recomm,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +ebabd1f7bc0274fec88a3dabaf115d3e226f198f,Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, ebe8408052d9bf05dc2007d01559dda6129840eb,Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, ebe8408052d9bf05dc2007d01559dda6129840eb,Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, eb4de1c205dc084c7584a945970869961a884284,CSLDA and LDA fusion based face recognition,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, @@ -4063,41 +4970,61 @@ eba0510f6d34320857b0554627b5f2925553f820,MouseFree Vision-Based Human-Computer I eba0510f6d34320857b0554627b5f2925553f820,MouseFree Vision-Based Human-Computer Interaction through Real-Time Hand Tracking and Gesture Recognition,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, eb7e0dfc61f3f9993a39316ccaaa263059b3a108,Spatially Adaptive Computation Time for Residual Networks,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, eb1208a7f535de6c6180e4dbeb6eef2a27500c52,"To be or Not to be Threatening, but What was the Question? Biased Face Evaluation in Social Anxiety and Depression Depends on How You Frame the Query",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +ebd36259defde84deb0d4c09695b54befe538ac8,Robust Generalized Low Rank Approximations of Matrices,China,China,China,35.86166000,104.19539700,edu, ebb3286dd729c2d6c8bfa58c7f159ac76123f079,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, ebb3286dd729c2d6c8bfa58c7f159ac76123f079,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, ebb3286dd729c2d6c8bfa58c7f159ac76123f079,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +ebb3286dd729c2d6c8bfa58c7f159ac76123f079,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",China,China,China,35.86166000,104.19539700,edu, ebad62ebe00fe0f0c19ce04c3f7250506137fc71,Evaluating Auto-adaptation Methods for Fine-Grained Adaptable Processors,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, eb6f15c59e6f2ffaa9a0a55d3f045c23a5a6d275,State-Trace Analysis of the Face Inversion Effect,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, eb6f15c59e6f2ffaa9a0a55d3f045c23a5a6d275,State-Trace Analysis of the Face Inversion Effect,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, ebb1c29145d31c4afa3c9be7f023155832776cd3,CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, -ebb1c29145d31c4afa3c9be7f023155832776cd3,CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +ebb1c29145d31c4afa3c9be7f023155832776cd3,CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation,China,China,China,35.86166000,104.19539700,edu, ebb1c29145d31c4afa3c9be7f023155832776cd3,CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, ebb5eedb6ce41317971885ff33da17ae2c9e8f7a,Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +ebb5eedb6ce41317971885ff33da17ae2c9e8f7a,Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,India,India,India,20.59368400,78.96288000,edu, ebb5eedb6ce41317971885ff33da17ae2c9e8f7a,Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +ebb5eedb6ce41317971885ff33da17ae2c9e8f7a,Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,India,India,India,20.59368400,78.96288000,edu, +ebb5eedb6ce41317971885ff33da17ae2c9e8f7a,Disguised Face Identification (DFI) with Facial KeyPoints Using Spatial Fusion Convolutional Network,India,India,India,20.59368400,78.96288000,edu, eb8519cec0d7a781923f68fdca0891713cb81163,Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, eb8519cec0d7a781923f68fdca0891713cb81163,Temporal Non-volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, eb2b9c34323d3a8d097a2564c8864a742b9f73be,Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, eb2b9c34323d3a8d097a2564c8864a742b9f73be,Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, eb100638ed73b82e1cce8475bb8e180cb22a09a2,Temporal Action Detection with Structured Segment Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +eb7e40aab49fdda492bb8aac02f520013931144b,Restricted Nearest Feature Line with Ellipse for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +eb7e40aab49fdda492bb8aac02f520013931144b,Restricted Nearest Feature Line with Ellipse for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +eb7e40aab49fdda492bb8aac02f520013931144b,Restricted Nearest Feature Line with Ellipse for Face Recognition,China,China,China,35.86166000,104.19539700,edu, eb9c20e96f22b9c890f7978878c5479d9e64bb47,LEARNING DESCRIPTIVE MODELS OF OBJECTS AND ACTIVITIES FROM EGOCENTRIC VIDEO,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, ebb527dad52f28610f9153952c10a95d8f01f5f9,How Can Selection of Biologically Inspired Features Improve the Performance of a Robust Object Recognition Model?,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, 520d586b50ecaa9753f714c6e76e6b819663d1a4,On the Dimensionality Reduction for Sparse Representation Based Face Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 52fada1aac0678c4d880c84c0155882ab502b1e9,Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 52fada1aac0678c4d880c84c0155882ab502b1e9,Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 523b2cbc48decfabffb66ecaeced4fe6a6f2ac78,Photorealistic facial expression synthesis by the conditional difference adversarial autoencoder,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, +523b2cbc48decfabffb66ecaeced4fe6a6f2ac78,Photorealistic facial expression synthesis by the conditional difference adversarial autoencoder,China,China,China,35.86166000,104.19539700,edu, 52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, +52bf00df3b970e017e4e2f8079202460f1c0e1bd,Learning High-level Prior with Convolutional Neural Networks for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 529b933b0dc9c657cf829fd9bb7ff7c47d5e6d19,Integrating crowd simulation for pedestrian tracking in a multi-camera system,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, +529e2ce6fb362bfce02d6d9a9e5de635bde81191,Normalization of Face Illumination Based on Large-and Small-Scale Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +529e2ce6fb362bfce02d6d9a9e5de635bde81191,Normalization of Face Illumination Based on Large-and Small-Scale Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 52a08919efb7a1d0f28eda82bacd9d495639a6b3,Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 52bfa4a8b3e3b8e0c0031ae53caddb4c067c04e3,Procrustean Normal Distribution for Non-Rigid Structure from Motion,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 52ef80e422dcd4650fac136820554033e54cf366,Discovering object categories in image collections ∗,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 52ef80e422dcd4650fac136820554033e54cf366,Discovering object categories in image collections ∗,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 52ef80e422dcd4650fac136820554033e54cf366,Discovering object categories in image collections ∗,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +523abe29cc278f9daf03fe74d1e09d9e2711b73e,Facial Recognition System : A Review,India,India,India,20.59368400,78.96288000,edu, 52c91fcf996af72d191520d659af44e310f86ef9,Interactive Image Search with Attribute-based Guidance and Personalization,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +526ce11a6c80716fca69bdc111f32dfbe045e400,A Survey on Dataset Recognition of 3 D Face with Missing Parts,India,India,India,20.59368400,78.96288000,edu, 520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",China,China,China,35.86166000,104.19539700,edu, +520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",China,China,China,35.86166000,104.19539700,edu, 520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",China,China,China,35.86166000,104.19539700,edu, +520796fed11df39bba7ea03844f4f465a6bf0655,"Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition",China,China,China,35.86166000,104.19539700,edu, 523854a7d8755e944bd50217c14481fe1329a969,A Differentially Private Kernel Two-Sample Test,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 523854a7d8755e944bd50217c14481fe1329a969,A Differentially Private Kernel Two-Sample Test,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 5257c447f9c50ee8bb2011fb72f8bd40bc0291d8,Automatic gait recognition using area-based metrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, @@ -4108,6 +5035,7 @@ ebb527dad52f28610f9153952c10a95d8f01f5f9,How Can Selection of Biologically Inspi 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, +52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,Finland,Finland,Finland,61.92411000,25.74815110,edu, 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 52516cf440eaf57966bfef2a6cc800163bd85793,Rethinking Summarization and Storytelling for Modern Social Multimedia,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, @@ -4124,7 +5052,7 @@ ebb527dad52f28610f9153952c10a95d8f01f5f9,How Can Selection of Biologically Inspi 527dd9647c474490ac33ac5b0a19aa76b226610d,Intact perception but abnormal orientation towards face-like objects in young children with ASD,University of Toulouse,University of Toulouse,"Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA",30.17818160,-93.23605810,edu, 525eb080b158a492bfd02b421891c7383303dac5,Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 52049fb96156729ce0ad88f86fa617ecf7d237e1,Book chapter for Machine Learning for Human Motion Analysis: Theory and Practice,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, -52049fb96156729ce0ad88f86fa617ecf7d237e1,Book chapter for Machine Learning for Human Motion Analysis: Theory and Practice,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +52049fb96156729ce0ad88f86fa617ecf7d237e1,Book chapter for Machine Learning for Human Motion Analysis: Theory and Practice,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, 523303e477d3b5f27373047c576b9b6dbe478f8d,Everyday Eye Contact Detection Using Unsupervised Gaze Target Discovery,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 5240e60456b22467ab838c815a4f93821bae6b4b,The Focus of Spatial Attention Determines the Number and Precision of Face Representations in Working Memory.,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 5240e60456b22467ab838c815a4f93821bae6b4b,The Focus of Spatial Attention Determines the Number and Precision of Face Representations in Working Memory.,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, @@ -4141,15 +5069,22 @@ ebb527dad52f28610f9153952c10a95d8f01f5f9,How Can Selection of Biologically Inspi 521cfbc1949289a7ffc3ff90af7c55adeb43db2a,Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 52b0104a43f55c5652001c06dfabfc4c327018bf,Hybrid-Indexing Multi-type Features for Large-Scale Image Search,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 52b0104a43f55c5652001c06dfabfc4c327018bf,Hybrid-Indexing Multi-type Features for Large-Scale Image Search,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, +52d9ad99874f6b76184ad9abe45e824a6568617b,Large-Scale Active Learning with Approximations of Expected Model Output Changes,Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu, +5239001571bc64de3e61be0be8985860f08d7e7e,Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5284e9d84ef74683c306314e7a79786438514c90,Exploring the Long Tail of Social Media Tags,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 5212e0de35fbcb928bc57326c21a45dc046a5019,"A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community",University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, 52f8eb239997d9a324d4794529c60522db8d08bf,Learning Multi-scale Block Local Binary Patterns for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +52f8eb239997d9a324d4794529c60522db8d08bf,Learning Multi-scale Block Local Binary Patterns for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 5288e1e7e914f73bf65c745f328844907226cd3e,Learning Deep Binary Descriptor with Multi-quantization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +5288e1e7e914f73bf65c745f328844907226cd3e,Learning Deep Binary Descriptor with Multi-quantization,China,China,China,35.86166000,104.19539700,edu, +5288e1e7e914f73bf65c745f328844907226cd3e,Learning Deep Binary Descriptor with Multi-quantization,China,China,China,35.86166000,104.19539700,edu, 5288e1e7e914f73bf65c745f328844907226cd3e,Learning Deep Binary Descriptor with Multi-quantization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 52d7eb0fbc3522434c13cc247549f74bb9609c5d,WIDER FACE: A Face Detection Benchmark,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 528c03761682f73eed7d736c19551856fe92b1e1,"Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 528c03761682f73eed7d736c19551856fe92b1e1,"Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos",University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu, 528c03761682f73eed7d736c19551856fe92b1e1,"Uncovering Interactions and Interactors: Joint Estimation of Head, Body Orientation and F-Formations from Surveillance Videos","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +52144c6d20ddea70e59514c2aa9ec7dc801e5c5e,An Investigation of Face Recognition Characteristics Using PCA and ICA,China,China,China,35.86166000,104.19539700,edu, +52144c6d20ddea70e59514c2aa9ec7dc801e5c5e,An Investigation of Face Recognition Characteristics Using PCA and ICA,India,India,India,20.59368400,78.96288000,edu, 5250f319cae32437489bb97b2ed9a1dc962d4d39,Computational Baby Learning.,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 5250f319cae32437489bb97b2ed9a1dc962d4d39,Computational Baby Learning.,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 529073b49fb28e8919d6862f2ae445477c7337bd,Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, @@ -4159,9 +5094,11 @@ ebb527dad52f28610f9153952c10a95d8f01f5f9,How Can Selection of Biologically Inspi 520ab4527776c92d7c0bc70543efce79b9e7c2bc,Mitigating Multi-tenant Interference in Continuous Mobile Offloading,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 520ab4527776c92d7c0bc70543efce79b9e7c2bc,Mitigating Multi-tenant Interference in Continuous Mobile Offloading,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 520ab4527776c92d7c0bc70543efce79b9e7c2bc,Mitigating Multi-tenant Interference in Continuous Mobile Offloading,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, -520ab4527776c92d7c0bc70543efce79b9e7c2bc,Mitigating Multi-tenant Interference in Continuous Mobile Offloading,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +520ab4527776c92d7c0bc70543efce79b9e7c2bc,Mitigating Multi-tenant Interference in Continuous Mobile Offloading,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, +527cc8cd2af06a9ac2e5cded806bab5c3faad9cf,Abnormal Event Detection in Videos Using Spatiotemporal Autoencoder,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu, 52118fbfbb0ad29e8eefee27438fdfc51b350c8f,MidRank: Learning to rank based on subsequences,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 52118fbfbb0ad29e8eefee27438fdfc51b350c8f,MidRank: Learning to rank based on subsequences,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +52909a123ba3b088a5a93d930dcd029ec2f1f24f,A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition,India,India,India,20.59368400,78.96288000,edu, 52909a123ba3b088a5a93d930dcd029ec2f1f24f,A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, 529b1f33aed49dbe025a99ac1d211c777ad881ec,Fast and exact bi-directional fitting of active appearance models,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 529b1f33aed49dbe025a99ac1d211c777ad881ec,Fast and exact bi-directional fitting of active appearance models,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, @@ -4182,10 +5119,13 @@ bd4f2e7a196c0d6033a49390ee8836f4f551b7c8,ICDAR 2015 competition on Robust Readin bd4f2e7a196c0d6033a49390ee8836f4f551b7c8,ICDAR 2015 competition on Robust Reading,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, bde3c1298d4136369c8607dd5dc3f0800a27a8df,Extracting adaptive contextual cues from unlabeled regions,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, bde3c1298d4136369c8607dd5dc3f0800a27a8df,Extracting adaptive contextual cues from unlabeled regions,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +bd8b7599acf53e3053aa27cfd522764e28474e57,Learning long term face aging patterns from partially dense aging databases,China,China,China,35.86166000,104.19539700,edu, bd8b7599acf53e3053aa27cfd522764e28474e57,Learning long term face aging patterns from partially dense aging databases,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +bd8b7599acf53e3053aa27cfd522764e28474e57,Learning long term face aging patterns from partially dense aging databases,China,China,China,35.86166000,104.19539700,edu, bd8b7599acf53e3053aa27cfd522764e28474e57,Learning long term face aging patterns from partially dense aging databases,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, bd1d466299f585f2f67500a6ceef19008c4cb637,Pose and Illumination Invariant Face Recognition Using Video Sequences,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, bd433d471af50b571d7284afb5ee435654ace99f,Going Deeper with Convolutional Neural Network for Intelligent Transportation,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +bdbf414a2059d542f501ad9b1d21eacc9831082b,Two-Layer Mixture Network Ensemble for Apparel Attributes Classification,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, bd236913cfe07896e171ece9bda62c18b8c8197e,Deep Learning with Energy-efficient Binary Gradient Cameras,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, bd5802008156ed1ee6919ccaf21ba6c06bad2a4c,Robust eye contact detection in natural multi-person interactions using gaze and speaking behaviour,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, bd5802008156ed1ee6919ccaf21ba6c06bad2a4c,Robust eye contact detection in natural multi-person interactions using gaze and speaking behaviour,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, @@ -4194,6 +5134,9 @@ bd5802008156ed1ee6919ccaf21ba6c06bad2a4c,Robust eye contact detection in natural bdc3546ceee0c2bda9debff7de9aa7d53a03fe7d,Modeling distance functions induced by face recognition algorithms,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, bdc3546ceee0c2bda9debff7de9aa7d53a03fe7d,Modeling distance functions induced by face recognition algorithms,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, bd5c222323d6b46ea71f329cafe11d38533f6f3a,Repetition Suppression and Memory for Faces is Reduced in Adults with Autism Spectrum Conditions,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, +bdf64dd341925ea7b9b3abbb49cab3cf978f8e21,PROBABLE ETIOPATHOGENESIS ( SAMPRAPTI ) OF AUTISM IN FRAME OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY,India,India,India,20.59368400,78.96288000,edu, +bdf64dd341925ea7b9b3abbb49cab3cf978f8e21,PROBABLE ETIOPATHOGENESIS ( SAMPRAPTI ) OF AUTISM IN FRAME OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY,India,India,India,20.59368400,78.96288000,edu, +bdf64dd341925ea7b9b3abbb49cab3cf978f8e21,PROBABLE ETIOPATHOGENESIS ( SAMPRAPTI ) OF AUTISM IN FRAME OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY,India,India,India,20.59368400,78.96288000,edu, bd70f832e133fb87bae82dfaa0ae9d1599e52e4b,Combining Classifier for Face Identification at Unknown Views with a Single Model Image,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, bd0201b32e7eca7818468f2b5cb1fb4374de75b9,FACIAL EMOTION EXPRESSIONS RECOGNITION WITH BRAIN ACTIVITES USING KINECT SENSOR V2,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, bd0201b32e7eca7818468f2b5cb1fb4374de75b9,FACIAL EMOTION EXPRESSIONS RECOGNITION WITH BRAIN ACTIVITES USING KINECT SENSOR V2,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, @@ -4204,6 +5147,7 @@ bd7477c250f01f63f438c4f3bebe374caf4b86ba,REAL-TIME FACE AND HAND DETECTION FOR V bd17484e0a6773a74c51c41e773e202080682b3b,2D-3D Pose Consistency-based Conditional Random Fields for 3D Human Pose Estimation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, bd9c9729475ba7e3b255e24e7478a5acb393c8e9,Interpretable Partitioned Embedding for Customized Fashion Outfit Composition,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, bd9c9729475ba7e3b255e24e7478a5acb393c8e9,Interpretable Partitioned Embedding for Customized Fashion Outfit Composition,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, +bd9c9729475ba7e3b255e24e7478a5acb393c8e9,Interpretable Partitioned Embedding for Customized Fashion Outfit Composition,China,China,China,35.86166000,104.19539700,edu, bd26dabab576adb6af30484183c9c9c8379bf2e0,SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, bd9157331104a0708aa4f8ae79b7651a5be797c6,SLAC: A Sparsely Labeled Dataset for Action Classification and Localization,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, bd8f77b7d3b9d272f7a68defc1412f73e5ac3135,SphereFace: Deep Hypersphere Embedding for Face Recognition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, @@ -4221,6 +5165,7 @@ bd0265ba7f391dc3df9059da3f487f7ef17144df,Data-Driven Sparse Sensor Placement,Uni bda201e2a941def8572e8faa42c988eba3f6c990,MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, bda201e2a941def8572e8faa42c988eba3f6c990,MULTI SENSOR DATA FUSION FOR AUTONOMOUS VEHICLES,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, bd6099429bb7bf248b1fd6a1739e744512660d55,"Regularized Discriminant Analysis, Ridge Regression and Beyond",Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +bd6099429bb7bf248b1fd6a1739e744512660d55,"Regularized Discriminant Analysis, Ridge Regression and Beyond",China,China,China,35.86166000,104.19539700,edu, bd8f3fef958ebed5576792078f84c43999b1b207,BUAA-iCC at ImageCLEF 2015 Scalable Concept Image Annotation Challenge,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, bd7e61b2ad008741b0845fbf3e1a7a3a9805f147,MTTV - An Interactive Trajectory Visualization and Analysis Tool,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, bd8a85acaa45d4068fca584e8d9e3bd3bb4eea4d,Toward Scene Recognition by Discovering Semantic Structures and Parts by,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, @@ -4232,6 +5177,7 @@ bdaed05eefddd2829c937978852fcf3cedc84620,Multifactor Analysis for Face Recogniti bdaed05eefddd2829c937978852fcf3cedc84620,Multifactor Analysis for Face Recognition Based on Factor-Dependent Geometry,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, bd98a68ef57d60aa6c939504d06d95fe08e2aceb,ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks,Ahmedabad University,Ahmedabad University,"School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India",23.03787430,72.55180046,edu, a5f094bd197126025cabc50b30e0f03d56d8c594,Online Motion Agreement Tracking,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, +a577eefb31ba63baa087f321537b0be2784ec013,Security Event Recognition for Visual Surveillance,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a576d19473a12e16262266989376ad1e77e8e817,Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, a576d19473a12e16262266989376ad1e77e8e817,Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model,Aberystwyth University,Aberystwyth University,"Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK",52.41073580,-4.05295501,edu, a54fcdcb02da0844d28b3191145bbc99675714df,"FATAUVA-Net: An Integrated Deep Learning Framework for Facial Attribute Recognition, Action Unit Detection, and Valence-Arousal Estimation",National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, @@ -4243,6 +5189,7 @@ a51882cfd0706512bf50e12c0a7dd0775285030d,Cross-Modal Face Matching: Beyond Viewe a566780ffbaf2e1ee88a821be4d0ffade934c518,Greedy Representative Selection for Unsupervised Data Analysis,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, a538b05ebb01a40323997629e171c91aa28b8e2f,Rectified Linear Units Improve Restricted Boltzmann Machines,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, a59978ac12815cada0936dce760a6ff6aef376d9,Multi-Scale Face Restoration With Sequential Gating Ensemble Network,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +a5c63f38e2e6ca7fff48fc5cd1dbdb8f6362c99f,A Neural Approach to Blind Motion Deblurring,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, a5c8fc1ca4f06a344b53dc81ebc6d87f54896722,Learning to see people like people,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, a5c8fc1ca4f06a344b53dc81ebc6d87f54896722,Learning to see people like people,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, a5c8fc1ca4f06a344b53dc81ebc6d87f54896722,Learning to see people like people,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, @@ -4252,8 +5199,10 @@ a58bef564df2bebbcb24c58c4a69bc6c51ab2d39,Kernel Implicit Variational Inference,T a58bef564df2bebbcb24c58c4a69bc6c51ab2d39,Kernel Implicit Variational Inference,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, a5219fff98dfe3ec81dee95c4ead69a8e24cc802,Dual-Glance Model for Deciphering Social Relationships,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, a5219fff98dfe3ec81dee95c4ead69a8e24cc802,Dual-Glance Model for Deciphering Social Relationships,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, +a5219fff98dfe3ec81dee95c4ead69a8e24cc802,Dual-Glance Model for Deciphering Social Relationships,"Minneapolis, USA","Minneapolis, USA","Minneapolis, MN, USA",44.97775300,-93.26501080,edu, a5ae7d662ed086bc5b0c9a2c1dc54fcb23635000,Relief R-CNN : Utilizing Convolutional Feature Interrelationship for Fast Object Detection Deployment,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, a5ae7d662ed086bc5b0c9a2c1dc54fcb23635000,Relief R-CNN : Utilizing Convolutional Feature Interrelationship for Fast Object Detection Deployment,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +a5ae7d662ed086bc5b0c9a2c1dc54fcb23635000,Relief R-CNN : Utilizing Convolutional Feature Interrelationship for Fast Object Detection Deployment,China,China,China,35.86166000,104.19539700,edu, a59cdc49185689f3f9efdf7ee261c78f9c180789,A New Approach for Learning Discriminative Dictionary for Pattern Classification,Hanoi University of Science and Technology,Hanoi University of Science and Technology,"HUST, Trần Đại Nghĩa, Hai Bà Trưng, Hà Nội, 10999, Việt Nam",21.00395200,105.84360183,edu, a50d2245d46ce0595ddbf25ae9acb8513aa70067,Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, a5a321769ebc09a34b26023d8bd10f5ccfbf57f7,Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images.,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, @@ -4265,12 +5214,17 @@ a51cdc57f35f536468325a40a7777954c864935b,Fast and Robust Realtime Storefront Log a5ade88747fa5769c9c92ffde9b7196ff085a9eb,Why is facial expression analysis in the wild challenging?,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, a5ade88747fa5769c9c92ffde9b7196ff085a9eb,Why is facial expression analysis in the wild challenging?,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, a5ade88747fa5769c9c92ffde9b7196ff085a9eb,Why is facial expression analysis in the wild challenging?,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +a5fcb663bffdd39523964e3e958566f4dfbfae90,Günther Palm Towards Robust Speech Acquisition using Sensor Arrays,India,India,India,20.59368400,78.96288000,edu, a523c62fd27eb1f4d2f7090bf0f346c895c5eed8,HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, +a50099f5364d3d4e82991418647c727f0f9c297c,A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a50099f5364d3d4e82991418647c727f0f9c297c,A Generic Bi-Layer Data-Driven Crowd Behaviors Modeling Approach,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, a5766dd5f2efe0b44879799dd5499edfb6b44839,Illumination Quality Assessment for Face Images: A Benchmark and a Convolutional Neural Networks Based Model,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, a5766dd5f2efe0b44879799dd5499edfb6b44839,Illumination Quality Assessment for Face Images: A Benchmark and a Convolutional Neural Networks Based Model,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +a5766dd5f2efe0b44879799dd5499edfb6b44839,Illumination Quality Assessment for Face Images: A Benchmark and a Convolutional Neural Networks Based Model,China,China,China,35.86166000,104.19539700,edu, a5f11c132eaab258a7cea2d681875af09cddba65,A spatiotemporal model with visual attention for video classification,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, a5bc960e186391ca0ba0718aec70069abb5134e5,Age Invariant Face Recognition Using Convolutional Neural Networks and Set Distances,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, +a52d6c456122007f10c90989a1e81dc8e1c599da,Query-Adaptive Image Search With Hash Codes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +e0dedb6fc4d370f4399bf7d67e234dc44deb4333,Material : MultiTask Video Captioning with Video and Entailment Generation,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, e088a2537492ed5a22885e871a51102a95c97cb6,On the effect of Batch Normalization and Weight Normalization in Generative Adversarial Networks,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, e00c26e3d16a44baf7be389e94ed0025a0ea3867,An Evaluation of Super-Resolution for Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, e059650472dd7bfd6907b02de491e312a0cb6d4e,Parallel Genetic Algorithms and Machine Learning,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu, @@ -4280,6 +5234,7 @@ e083d6f5084d8a8582af797999185c4e0d2c841a,R-CNNs for Pose Estimation and Action D e083d6f5084d8a8582af797999185c4e0d2c841a,R-CNNs for Pose Estimation and Action Detection,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, e0da17d5a8460ab74d4e8db338779feb2bb9fbbe,Labelless Scene Classification with Semantic Matching,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, e0da17d5a8460ab74d4e8db338779feb2bb9fbbe,Labelless Scene Classification with Semantic Matching,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu, +e0e8c7145c9b389dad2f4e1982f2b9c31b766503,Augmenting Crowd-Sourced 3 D Reconstructions using Semantic Detections,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, e0b5815b0d3d6c02a114ee27dc6ea2d2c40a4458,Videos as Space-Time Region Graphs,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, e00d4e4ba25fff3583b180db078ef962bf7d6824,Face Verification with MultiTask and Multi-Scale Features Fusion,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, e03bda45248b4169e2a20cb9124ae60440cad2de,"Learning a Dictionary of Shape-Components in Visual Cortex : Comparison with Neurons , Humans and Machines by Thomas Serre",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -4318,16 +5273,19 @@ e01e2b2d12acca616d01eb087d63363f127ad750,Robust Maximum-likelihood On-line LiDAR e08038b14165536c52ffe950d90d0f43be9c8f15,Smart Augmentation Learning an Optimal Data Augmentation Strategy,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu, e08038b14165536c52ffe950d90d0f43be9c8f15,Smart Augmentation Learning an Optimal Data Augmentation Strategy,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu, e08038b14165536c52ffe950d90d0f43be9c8f15,Smart Augmentation Learning an Optimal Data Augmentation Strategy,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu, +e054291cbf250592d032722b99c414c2e4741c03,A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction,Finland,Finland,Finland,61.92411000,25.74815110,edu, e04428ce77d6d459b7063d6bda7a8f72a539f284,RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu, e0638e0628021712ac76e3472663ccc17bd8838c,SIGN LANGUAGE RECOGNITION : STATE OF THE ART,Sharda University,Sharda University,"Sharda University, Yamuna Expressway, Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, 201308, India",28.47375120,77.48361480,edu, e032f5bbee040b3898170b3f9091384658caf0d2,NAVIGATION BEHAVIOR DESIGN AND REPRESENTATIONS FOR A PEOPLE AWARE MOBILE ROBOT SYSTEM,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, e05b4f3757a3b33324e96f8b9b71e7d4eb5a1fa9,Controllable Top-down Feature Transformer,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, e0ea8ef91bd0a35aec31c9a493137163b4f042b6,Sparse representation with nearest subspaces for face recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, e0ea8ef91bd0a35aec31c9a493137163b4f042b6,Sparse representation with nearest subspaces for face recognition,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu, e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,India,India,India,20.59368400,78.96288000,edu, e096db52fc8316e66273b456c58b073f9b689074,Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, e01bb53b611c679141494f3ffe6f0b91953af658,FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, e01bb53b611c679141494f3ffe6f0b91953af658,FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, @@ -4336,6 +5294,7 @@ e06f94ebf10b511d121725c318cd289c55349c2d,Training an adaptive dialogue policy fo e06f94ebf10b511d121725c318cd289c55349c2d,Training an adaptive dialogue policy for interactive learning of visually grounded word meanings,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, e06f94ebf10b511d121725c318cd289c55349c2d,Training an adaptive dialogue policy for interactive learning of visually grounded word meanings,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, e096003fc0dad2a09334044ebcc01601fdc0afd6,Subitizing with Variational Autoencoders,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +e0d2a28bdcb1996f9659ce2d5fcdace3d369cff6,Fusion Scheme for Semantic and Instance-level Segmentation,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, 68f89c1ee75a018c8eff86e15b1d2383c250529b,Final Report for Project Localizing Objects and Actions in Videos Using Accompanying Text,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 68f89c1ee75a018c8eff86e15b1d2383c250529b,Final Report for Project Localizing Objects and Actions in Videos Using Accompanying Text,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, 68f89c1ee75a018c8eff86e15b1d2383c250529b,Final Report for Project Localizing Objects and Actions in Videos Using Accompanying Text,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, @@ -4353,6 +5312,7 @@ e096003fc0dad2a09334044ebcc01601fdc0afd6,Subitizing with Variational Autoencoder 6890123baba105254c91adada3665f84017cd864,SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 68ce1572b18c95fe9c60bc11d9d33f8310902154,Budgeted Nonparametric Learning from Data Streams,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 68c5238994e3f654adea0ccd8bca29f2a24087fc,pLSA-based zero-shot learning,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, +68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5,AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS,India,India,India,20.59368400,78.96288000,edu, 68c2e7be6e989c2089246ee1bfe0fd902feff76c,Histogram of Oriented Phase (HOP): A New Descriptor Based on Phase Congruency,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu, 68c2e7be6e989c2089246ee1bfe0fd902feff76c,Histogram of Oriented Phase (HOP): A New Descriptor Based on Phase Congruency,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu, 68c2e7be6e989c2089246ee1bfe0fd902feff76c,Histogram of Oriented Phase (HOP): A New Descriptor Based on Phase Congruency,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu, @@ -4368,7 +5328,9 @@ e096003fc0dad2a09334044ebcc01601fdc0afd6,Subitizing with Variational Autoencoder 682760f2f767fb47e1e2ca35db3becbb6153756f,The Effect of Pets on Happiness: A Large-Scale Multi-Factor Analysis Using Social Multimedia,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 682760f2f767fb47e1e2ca35db3becbb6153756f,The Effect of Pets on Happiness: A Large-Scale Multi-Factor Analysis Using Social Multimedia,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 68c4a1d438ea1c6dfba92e3aee08d48f8e7f7090,AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +68c4a1d438ea1c6dfba92e3aee08d48f8e7f7090,AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation,China,China,China,35.86166000,104.19539700,edu, 68412fe1d3d80dd12d88084006ae5f0a7da2d974,Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, +68412fe1d3d80dd12d88084006ae5f0a7da2d974,Improved Initialization and Gaussian Mixture Pairwise Terms for Dense Random Fields with Mean-field Inference,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 6880013eb0b91a2b334e0be0dced0a1a79943469,Discrimination-aware Channel Pruning for Deep Neural Networks,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 6880013eb0b91a2b334e0be0dced0a1a79943469,Discrimination-aware Channel Pruning for Deep Neural Networks,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 6829a415730eb94e447bd707a95812fa35a7f9fb,Unsupervised image classification of medical ultrasound data by multiresolution elastic registration.,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, @@ -4378,10 +5340,22 @@ e096003fc0dad2a09334044ebcc01601fdc0afd6,Subitizing with Variational Autoencoder 685f65efc49479536e0df0974d18bed36a3190ea,A sequential guiding network with attention for image captioning,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 685f65efc49479536e0df0974d18bed36a3190ea,A sequential guiding network with attention for image captioning,North China Electric Power University,North China Electric Power University,"华北电力大学, 永华北大街, 莲池区, 保定市, 莲池区 (Lianchi), 保定市, 河北省, 071000, 中国",38.87604460,115.49738730,edu, 68c3e61cefcfe4812df54be12625dabe66fb06a4,A Compact Deep Learning Model for Robust Facial Expression Recognition,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, -687fc9ffea3ca36d87817faf37492941ec6eb0b9,Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +687fc9ffea3ca36d87817faf37492941ec6eb0b9,Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +6826ae2e1598be376f5b64f302172bebc57b64cb,Foreground Object Segmentation with Objectness Measure,China,China,China,35.86166000,104.19539700,edu, +6826ae2e1598be376f5b64f302172bebc57b64cb,Foreground Object Segmentation with Objectness Measure,China,China,China,35.86166000,104.19539700,edu, +6826ae2e1598be376f5b64f302172bebc57b64cb,Foreground Object Segmentation with Objectness Measure,China,China,China,35.86166000,104.19539700,edu, +6826ae2e1598be376f5b64f302172bebc57b64cb,Foreground Object Segmentation with Objectness Measure,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu, +680402e42c874c14a32146865d985588985744a4,DETECTION AND TRACKING OF MULTIPLE HUMANS IN HIGH-DENSITY CROWDS,Russia,Russia,Russia,61.52401000,105.31875600,edu, 6861552bf6730529d3fac5d6f2bb7e0f491edea2,Neural Self Talk: Image Understanding via Continuous Questioning and Answering,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 68c6df1249e1ee56835f79e1877506a16d8418f4,Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 68c6df1249e1ee56835f79e1877506a16d8418f4,Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +68003e92a41d12647806d477dd7d20e4dcde1354,Chapter-4 FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE PRIMITIVES FOR EFFICIENT FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu, +68003e92a41d12647806d477dd7d20e4dcde1354,Chapter-4 FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE PRIMITIVES FOR EFFICIENT FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu, +68003e92a41d12647806d477dd7d20e4dcde1354,Chapter-4 FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE PRIMITIVES FOR EFFICIENT FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu, +684f5166d8147b59d9e0938d627beff8c9d208dd,Discriminative Block-Diagonal Representation Learning for Image Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +68415682aa3e25178c9504866f64cf4b2a32273e,Capturing Complex 3D Human Motions with Kernelized Low-Rank Representation from Monocular RGB Camera,China,China,China,35.86166000,104.19539700,edu, +68415682aa3e25178c9504866f64cf4b2a32273e,Capturing Complex 3D Human Motions with Kernelized Low-Rank Representation from Monocular RGB Camera,China,China,China,35.86166000,104.19539700,edu, +68415682aa3e25178c9504866f64cf4b2a32273e,Capturing Complex 3D Human Motions with Kernelized Low-Rank Representation from Monocular RGB Camera,China,China,China,35.86166000,104.19539700,edu, 68f69e6c6c66cfde3d02237a6918c9d1ee678e1b,Enhancing Concept Detection by Pruning Data with MCA-Based Transaction Weights,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, 68f69e6c6c66cfde3d02237a6918c9d1ee678e1b,Enhancing Concept Detection by Pruning Data with MCA-Based Transaction Weights,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu, 68245f308f8049dc40f146e296d6e6a6bdba1ff4,Private and Shared Taste in Art and Face Appreciation,University of Vienna,University of Vienna,"Uni Wien, 1, Universitätsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, Österreich",48.21313020,16.36068653,edu, @@ -4390,7 +5364,7 @@ e096003fc0dad2a09334044ebcc01601fdc0afd6,Subitizing with Variational Autoencoder 68ba2888a6fca08cd36da66d999a881f6a536e96,Face recognition based on perceived facial images and multilayer perceptron neural network using constructive training algorithm,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" 68d15e9fa60f3a5c9ca2fb43f2e559730c65189f,Cashtags: Protecting the Input and Display of Sensitive Data,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, 683ec608442617d11200cfbcd816e86ce9ec0899,Dual Linear Regression Based Classification for Face Cluster Recognition,University of Northern British Columbia,University of Northern British Columbia,"UNBC, Campus Ring Road, College Heights, Prince George, Regional District of Fraser-Fort George, British Columbia, V2M 5K7, Canada",53.89256620,-122.81471592,edu, -687e17db5043661f8921fb86f215e9ca2264d4d2,A robust elastic and partial matching metric for face recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +687e17db5043661f8921fb86f215e9ca2264d4d2,A robust elastic and partial matching metric for face recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 68d96226fb71daad7d1a4ccbda267062244d9bc0,Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 68d96226fb71daad7d1a4ccbda267062244d9bc0,Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 68a04a3ae2086986877fee2c82ae68e3631d0356,Thermal and Reflectance Based Personal Identification Methodology in Challenging Variable Illuminations,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, @@ -4401,15 +5375,21 @@ c9987af05f7df6539c5742072c027dfcf0394354,"DS++: a flexible, scalable and provabl c9efc5823212d700b08da5e482ffd46934ae0f58,Multi-target tracking with context from interaction feature strings,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, c95e6cf689809cd6a7c9aea99a083fbe2af01457,Foreign object detection ( FOD ) using multi-class classifier with single camera vs . distance map with stereo configuration,Iowa State University,Iowa State University,"Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA",42.02791015,-93.64464415,edu, c9424d64b12a4abe0af201e7b641409e182babab,"Which, When, and How: Hierarchical Clustering with Human-Machine Cooperation",Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, -c9e4e1bb544a892fe07c99cc9a999f0762237cc3,Natural Language Person Retrieval,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +c9e4e1bb544a892fe07c99cc9a999f0762237cc3,Natural Language Person Retrieval,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, c904fb8be3e9948ccbf4f3c2549f0390a1f4903d,Towards social pattern characterization in egocentric photo-streams,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, -c904fb8be3e9948ccbf4f3c2549f0390a1f4903d,Towards social pattern characterization in egocentric photo-streams,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +c904fb8be3e9948ccbf4f3c2549f0390a1f4903d,Towards social pattern characterization in egocentric photo-streams,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, c92bb26238f6e30196b0c4a737d8847e61cfb7d4,Beyond Context: Exploring Semantic Similarity for Tiny Face Detection,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, c92bb26238f6e30196b0c4a737d8847e61cfb7d4,Beyond Context: Exploring Semantic Similarity for Tiny Face Detection,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, c92bb26238f6e30196b0c4a737d8847e61cfb7d4,Beyond Context: Exploring Semantic Similarity for Tiny Face Detection,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +c95ad088c9d96c7e94428b7e90ea8bf547cd9e42,Human Identification using Face and Voice Recognition,India,India,India,20.59368400,78.96288000,edu, +c95ad088c9d96c7e94428b7e90ea8bf547cd9e42,Human Identification using Face and Voice Recognition,India,India,India,20.59368400,78.96288000,edu, c9e955cb9709f16faeb0c840f4dae92eb875450a,Proposal of Novel Histogram Features for Face Detection,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +c9e955cb9709f16faeb0c840f4dae92eb875450a,Proposal of Novel Histogram Features for Face Detection,China,China,China,35.86166000,104.19539700,edu, +c9e955cb9709f16faeb0c840f4dae92eb875450a,Proposal of Novel Histogram Features for Face Detection,China,China,China,35.86166000,104.19539700,edu, c93e26b52cb22382ed2627bf32f86fa18d034cbf,Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, c95cd36779fcbe45e3831ffcd3314e19c85defc5,Face recognition using multi-modal low-rank dictionary learning,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, +c97cd49536fcec5b50962eaf4658a973cd85bba0,Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +c97cd49536fcec5b50962eaf4658a973cd85bba0,Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, c96c0b6af744ce5f469db47968e331926ff47e3b,Priming Neural Networks,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, c96bd1a584d0e5d86148cfcab0f573825bc3fb5b,Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, c96bd1a584d0e5d86148cfcab0f573825bc3fb5b,Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -4428,15 +5408,20 @@ c9bbd7828437e70cc3e6863b278aa56a7d545150,Unconstrained Fashion Landmark Detectio c9bbd7828437e70cc3e6863b278aa56a7d545150,Unconstrained Fashion Landmark Detection via Hierarchical Recurrent Transformer Networks,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" c9579768d142a7020d095090183805c98a2f78e5,The Bochum / USC Face Recognition System and How it Fared in the FERET Phase III Test,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, c901524f01c7a0db3bb01afa1d5828913c84628a,Image Region Selection and Ensemble for Face Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, -c9abf6cb2d916262425033db12cf0181d40be7cb,Entropy-based Latent Structured Output Prediction-Supplementary materials,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +c9f3a5fe33782dd486cb32d9667fba0514711f04,Face and Expression Recognition Using Local Directional Number Pattern,India,India,India,20.59368400,78.96288000,edu, +c9f3a5fe33782dd486cb32d9667fba0514711f04,Face and Expression Recognition Using Local Directional Number Pattern,India,India,India,20.59368400,78.96288000,edu, +c9abf6cb2d916262425033db12cf0181d40be7cb,Entropy-based Latent Structured Output Prediction-Supplementary materials,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +c95e379aab32a1611f1f549fd11a3e9498ab5dae,Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy,Finland,Finland,Finland,61.92411000,25.74815110,edu, c95e379aab32a1611f1f549fd11a3e9498ab5dae,Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +c95e379aab32a1611f1f549fd11a3e9498ab5dae,Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy,Finland,Finland,Finland,61.92411000,25.74815110,edu, c95e379aab32a1611f1f549fd11a3e9498ab5dae,Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy,University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu, c919a9f61656cdcd3a26076057ee006c48e8f609,High-Value Target Detection,University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu, c9b98c98357a154bceb2287c427c5fa9c17b4a07,Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, c9367ed83156d4d682cefc59301b67f5460013e0,Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, -c9c1255057652584603945508b7151206e9e9069,On Sampling and Greedy MAP Inference of Constrained Determinantal Point Processes,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +c9c1255057652584603945508b7151206e9e9069,On Sampling and Greedy MAP Inference of Constrained Determinantal Point Processes,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, c9ff9d4dc27e698a4795619a1291a488f23fdfd0,Zero-Shot Learning via Class-Conditioned Deep Generative Models,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, c9ff9d4dc27e698a4795619a1291a488f23fdfd0,Zero-Shot Learning via Class-Conditioned Deep Generative Models,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +c9ff9d4dc27e698a4795619a1291a488f23fdfd0,Zero-Shot Learning via Class-Conditioned Deep Generative Models,India,India,India,20.59368400,78.96288000,edu, c92da368a6a886211dc759fe7b1b777a64d8b682,Face Recognition System based on Face Pose Estimation and Frontal Face Pose Synthesis,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, c92da368a6a886211dc759fe7b1b777a64d8b682,Face Recognition System based on Face Pose Estimation and Frontal Face Pose Synthesis,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, c9ca18d217ce4bc134e4dcf08068d0ec6d60cc10,SVM Implementation for Face Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, @@ -4452,25 +5437,38 @@ e8d9f431ac20f0ef88291cf1b370fbbca028315a,Unravelling Robustness of Deep Learning e82b8fbba894dbe61fdc1ecc36640a23e2fbe6da,An Analysis-by-Synthesis Method for Heterogeneous Face Biometrics,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e8d8a42d0ee8849bbaf99c52cadeb2f1ebe564b0,Building Data-driven Models with Microstructural Images: Generalization and Interpretability,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, e85a255a970ee4c1eecc3e3d110e157f3e0a4629,Fusing Hierarchical Convolutional Features for Human Body Segmentation and Clothing Fashion Classification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +e8b2a98f87b7b2593b4a046464c1ec63bfd13b51,CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, e84973cf0337de616f394df06087989a75a0df3e,ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17),Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +e84973cf0337de616f394df06087989a75a0df3e,ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17),China,China,China,35.86166000,104.19539700,edu, e84973cf0337de616f394df06087989a75a0df3e,ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17),Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, e8f9a45fdd76fa33855d9a7a6e70ff1821d0e2e1,Parametric surface denoising,Iowa State University,Iowa State University,"Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA",42.02791015,-93.64464415,edu, e8c9dcbf56714db53063b9c367e3e44300141ff6,Get the FACS fast: Automated FACS face analysis benefits from the addition of velocity,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, e8c9dcbf56714db53063b9c367e3e44300141ff6,Get the FACS fast: Automated FACS face analysis benefits from the addition of velocity,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, e8c9dcbf56714db53063b9c367e3e44300141ff6,Get the FACS fast: Automated FACS face analysis benefits from the addition of velocity,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, e8391fd7ef979a63c389ab0fa7c00fe67e4498f8,Multiple object tracking with combinatorial model based on appearance and local features,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +e8391fd7ef979a63c389ab0fa7c00fe67e4498f8,Multiple object tracking with combinatorial model based on appearance and local features,China,China,China,35.86166000,104.19539700,edu, +e8ff87c9072d67dcbcd5491b1e5a0cecc2ee309d,A Survey on Gaze Estimation Techniques in Smartphone,India,India,India,20.59368400,78.96288000,edu, +e8ff87c9072d67dcbcd5491b1e5a0cecc2ee309d,A Survey on Gaze Estimation Techniques in Smartphone,India,India,India,20.59368400,78.96288000,edu, e8adb84bbcb4d36e276e4fb4be2e9a7c9e278778,Rank : Non-Linear Object Detection,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, e8cda2c754670850ec722799640c6cb42dfb8199,4D Generic Video Object Proposals,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, e8327930af0c719e3084d0ffb284704888976515,Exemplar-SVMs for Action Recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, e8327930af0c719e3084d0ffb284704888976515,Exemplar-SVMs for Action Recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, e883cf759c3abecf59bf9f13053b1eb59bde01a6,Deep Multitask Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +e85b6f50b14014ee4a9212de4716031e21e92a89,Multiple Sensor Fusion for Moving Object Detection and Tracking,India,India,India,20.59368400,78.96288000,edu, +e8d1d2a61c5a259440ef9fcd301093b43e87efa1,Periocular Biometrics in the Visible Spectrum,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, e81f0966f04b8755541aedb5de05e40c9e5c95da,A statistically selected part-based probabilistic model for object recognition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +e8d2d991dcfb12b287ab06d282a86802e565780c,Inducing Behavior Change in Children with Autism Spectrum Disorders by Monitoring their Attention,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, +e8baf6ddd2e651350b843fedfe58f761848d3524,Design And Implementation Of Multiposes Face Recognization System Ms .,India,India,India,20.59368400,78.96288000,edu, +e8baf6ddd2e651350b843fedfe58f761848d3524,Design And Implementation Of Multiposes Face Recognization System Ms .,India,India,India,20.59368400,78.96288000,edu, e82360682c4da11f136f3fccb73a31d7fd195694,Face Recognition with Application to Proactive Augmented Reality,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +e849b9b3e65130712e23afb872ac925e1e9a6b73,"Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds",Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, e871849efe8eb5b1b28a92569a02476831791e2a,Nyström Approximations for Scalable Face Recognition: A Comparative Study,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7,Toward End-to-End Face Recognition Through Alignment Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +e8523c4ac9d7aa21f3eb4062e09f2a3bc1eedcf7,Toward End-to-End Face Recognition Through Alignment Learning,China,China,China,35.86166000,104.19539700,edu, e8875b317c2e0ed6fba0c908d599b3772a400bdd,Non-rigid 3D Shape Registration using an Adaptive Template,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, -e8b6d398f6d5e31845b11257e2177e2b94b0ad52,Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +e8b6d398f6d5e31845b11257e2177e2b94b0ad52,Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, e87ea5fa265eadb7f68f8f06beabfb056e06579a,Improving Fully Convolution Network for Semantic Segmentation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +e819d8ec94ff9b07f81bcfcf6eb66301aa271805,OPTIMISED BLURRED OBJECT TRACKING USING ANFIS,India,India,India,20.59368400,78.96288000,edu, e8b3a257a0a44d2859862cdec91c8841dc69144d,Liquid Pouring Monitoring via Rich Sensory Inputs,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, e8b3a257a0a44d2859862cdec91c8841dc69144d,Liquid Pouring Monitoring via Rich Sensory Inputs,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, e8a1634270cc6f3fda88c995408117f2376d2a9c,Single-frame image super-resolution inspired by perceptual criteria,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -4480,9 +5478,13 @@ e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Facto e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Factors to Musical Genre Classification,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Factors to Musical Genre Classification,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Factors to Musical Genre Classification,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +e8d1b134d48eb0928bc999923a4e092537e106f6,Weighted Multi-region Convolutional Neural Network for Action Recognition with Low-latency Online Prediction,China,China,China,35.86166000,104.19539700,edu, +e8e8d8a619eea66c41a1a2bdc0a921a3b6d74836,"Restoring Degraded Face Images: A Case Study in Matching Faxed, Printed, and Scanned Photos",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2a4bbee0b4cf52d5aadbbc662164f7efba89566c,Pedestrian Attribute Recognition At Far Distance,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 2a869bc7c1488023c6e791e9c9071badfbad749d,NUS-WIDE: a real-world web image database from National University of Singapore,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 2a869bc7c1488023c6e791e9c9071badfbad749d,NUS-WIDE: a real-world web image database from National University of Singapore,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +2ad0ee93d029e790ebb50574f403a09854b65b7e,Acquiring linear subspaces for face recognition under variable lighting,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +2af2b74c3462ccff3a6881ff7cf4f321b3242fa9,"Name-Face Association in Web Videos: A Large-Scale Dataset, Baselines, and Open Issues",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2af2b74c3462ccff3a6881ff7cf4f321b3242fa9,"Name-Face Association in Web Videos: A Large-Scale Dataset, Baselines, and Open Issues",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2af2b74c3462ccff3a6881ff7cf4f321b3242fa9,"Name-Face Association in Web Videos: A Large-Scale Dataset, Baselines, and Open Issues",City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 2af2b74c3462ccff3a6881ff7cf4f321b3242fa9,"Name-Face Association in Web Videos: A Large-Scale Dataset, Baselines, and Open Issues",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -4496,21 +5498,26 @@ e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Facto 2a88541448be2eb1b953ac2c0c54da240b47dd8a,Discrete Graph Hashing,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, 2a88541448be2eb1b953ac2c0c54da240b47dd8a,Discrete Graph Hashing,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 2a9946fb626a58d376fb1491ca8bf8fb4f68dcf9,Enlarge the Training Set Based on Inter-Class Relationship for Face Recognition from One Image per Person,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +2a9946fb626a58d376fb1491ca8bf8fb4f68dcf9,Enlarge the Training Set Based on Inter-Class Relationship for Face Recognition from One Image per Person,China,China,China,35.86166000,104.19539700,edu, 2ad7100498f3e4d00ec4424099b90fddb659e972,Another probabilistic method proposed to distinguish between fixations and saccades are Kalman filters,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 2ad7100498f3e4d00ec4424099b90fddb659e972,Another probabilistic method proposed to distinguish between fixations and saccades are Kalman filters,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 2a4117849c88d4728c33b1becaa9fb6ed7030725,Memory Bounded Deep Convolutional Networks.,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, -2a4117849c88d4728c33b1becaa9fb6ed7030725,Memory Bounded Deep Convolutional Networks.,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +2a4117849c88d4728c33b1becaa9fb6ed7030725,Memory Bounded Deep Convolutional Networks.,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 2a7b1257ec819688b46272024855c1858e031db6,Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, 2a7b1257ec819688b46272024855c1858e031db6,Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, 2a7b1257ec819688b46272024855c1858e031db6,Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, +2abc43c86b206fcac256aed478a37a4003ada602,Kinship Verification with Deep Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu, 2abc43c86b206fcac256aed478a37a4003ada602,Kinship Verification with Deep Convolutional Neural Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +2abc43c86b206fcac256aed478a37a4003ada602,Kinship Verification with Deep Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu, 2ad9e4596f38d58019a6f8073f238803f52a2773,Data-Driven 3D Primitives for Single Image Understanding,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 2af19b5ff2ca428fa42ef4b85ddbb576b5d9a5cc,Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA 2af19b5ff2ca428fa42ef4b85ddbb576b5d9a5cc,Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +2a6327a8bdbd31e2c08863b96c4f09245db8cab7,Targets ' facial width-to-height ratio biases pain judgments ☆,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu, 2afde5e414aa94e20e2b30a5aa277ac36ca41d6a,Optimizing kd-trees for scalable visual descriptor indexing,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 2ade596b1a7966214e3acc53c757f88b9d0feb87,Facial recognition techniques applied to the automated registration of patients in the emergency treatment of head injuries.,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu, 2ab0ad4b8e439d54d69c40df158c06ef569deb27,Towards optimal training of cascaded detectors,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 2a051c1f2787690fa9fa916fd548b62ce571f778,Dense CNN Learning with Equivalent Mappings,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +2a051c1f2787690fa9fa916fd548b62ce571f778,Dense CNN Learning with Equivalent Mappings,China,China,China,35.86166000,104.19539700,edu, 2ad0f376c0014e0c3000e7bb92df78d1d20d815a,The Ravel data set,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, 2a3768ac4f6b3bfbcce4001c0c2fd35cfcc7679d,Face recognition with variation in pose angle using face graphs,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 2abae43b4a7fd85473bd6c906a0fcfc403968e87,Generating Natural Video Descriptions via Multimodal Processing,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -4520,6 +5527,7 @@ e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Facto 2a35d20b2c0a045ea84723f328321c18be6f555c,Boost Picking: A Universal Method on Converting Supervised Classification to Semi-supervised Classification,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu, 2a35d20b2c0a045ea84723f328321c18be6f555c,Boost Picking: A Universal Method on Converting Supervised Classification to Semi-supervised Classification,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu, 2a4fc35acaf09517e9c63821cadd428a84832416,Learning object class detectors from weakly annotated video,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +2a3227f54286d8a36736663781f194167f2b6582,Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2ac21d663c25d11cda48381fb204a37a47d2a574,Interpreting hand-over-face gestures,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 2a31169e3a0f87987537220b743bbf6e79c440e5,MULTI-VIEW FEATURE FUSION NETWORK FOR VEHICLE RE- IDENTIFICATION,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 2a75f34663a60ab1b04a0049ed1d14335129e908,Web-based database for facial expression analysis,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, @@ -4531,21 +5539,27 @@ e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Facto 2a4153655ad1169d482e22c468d67f3bc2c49f12,Face Alignment Across Large Poses: A 3D Solution,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 2af620e17d0ed67d9ccbca624250989ce372e255,Meta-class features for large-scale object categorization on a budget,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, 2a547bf34d185f80a0d476148721b6f05c276256,"Detection , Description and Tracking of Ants in Video Sequences",Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, -2a19346a02eaed55fdeb5271ff3316cb75261386,Local Decorrelation For Improved Detection,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +2a19346a02eaed55fdeb5271ff3316cb75261386,Local Decorrelation For Improved Detection,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 2a3991ae72740f3661f98d2ad58a0595bbcd07ad,Human Re-identification by Matching Compositional Template with Cluster Sampling,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, -2a3991ae72740f3661f98d2ad58a0595bbcd07ad,Human Re-identification by Matching Compositional Template with Cluster Sampling,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +2a3991ae72740f3661f98d2ad58a0595bbcd07ad,Human Re-identification by Matching Compositional Template with Cluster Sampling,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 2aa531b4aaf005db13ff93cc1bea7602d7fe2efb,Lidar-based Vehicle Localization in an Autonomous Valet Parking Scenario,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, +2a12c72b0328a23b0d7ea63db1f93abf3054beec,Extended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2a703e0ee535c65d1e819b2e784470fac844c6a8,User evaluation of lightweight user authentication with a single tri-axis accelerometer,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu, 2aa2b312da1554a7f3e48f71f2fce7ade6d5bf40,Estimating Sheep Pain Level Using Facial Action Unit Detection,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 2af9ee8ee3ab4a89ae0098a1f9caa1aa9dad4e8a,2D and 3D Pose Recovery from a Single Uncalibrated Video,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu, 2a06b31e778bed978055cec7596bdf2690d13b49,Deformable part models revisited: A performance evaluation for object category pose estimation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 2a0cec7f0f8b63f182ea0c52cb935580acabafcc,UOUS AND DISCRETE ADDRESSING SCHEMES,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 2a31b4bf2a294b6e67956a6cd5ed6d875af548e0,Learning Affinity via Spatial Propagation Networks,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, +2a40917ef436000b22bc7c6f35400440ef673d36,Learning clustered sub-spaces for sketch-based image retrieval,India,India,India,20.59368400,78.96288000,edu, +2ac31bc7a4dd0256166208dcc8d5dfa99347117e,A Window-Based Classifier for Automatic Video-Based Reidentification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2a65d7d5336b377b7f5a98855767dd48fa516c0f,Fast Supervised LDA for Discovering Micro-Events in Large-Scale Video Datasets,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +2a86bcdfb1d817ddb76ba202319f8267a36c0f62,PCL: Proposal Cluster Learning for Weakly Supervised Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2a08cab207fcdd333710294b3480ad25b743e8ca,Modèles acoustiques à structure temporelle renforcée pour la vérification du locuteur embarquée. (Reinforced temporal structure of acoustic models for speaker recognition),Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu, 2a8d0125c8d27699ccd75c76bda774e065060709,A translational neuroscience framework for the development of socioemotional functioning in health and psychopathology.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 2a0623ae989f2236f5e1fe3db25ab708f5d02955,D Face Modelling for 2 D + 3 D Face Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 2a0623ae989f2236f5e1fe3db25ab708f5d02955,D Face Modelling for 2 D + 3 D Face Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +2ade545f25f5ba66295aeab3a89583e7cf6101b3,A Dataset for Airborne Maritime Surveillance Environments,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +2ade545f25f5ba66295aeab3a89583e7cf6101b3,A Dataset for Airborne Maritime Surveillance Environments,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2aa06417fd361832df384cf7c003ed1d3c5ee8df,Learning people detection models from few training samples,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 2aad85de05e8b9137558926678c94442371d37ec,Head Pose Estimation Using Sparse Representation,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 2a7e02ebdb7622815dbce8cf227189e2c92d026c,Zero-Shot Object Detection by Hybrid Region Embedding,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, @@ -4561,6 +5575,8 @@ e8096f4f625441ddb4914b17d1b9da3f80bae92e,Transfer Learning of Artist Group Facto 2afdda6fb85732d830cea242c1ff84497cd5f3cb,Face image retrieval by using Haar features,Tamkang University,Tamkang University,"淡江大學, 151, 英專路, 中興里, 鬼仔坑, 淡水區, 新北市, 25137, 臺灣",25.17500615,121.45076751,edu, 2ab8956fef9526741c1e68c94d9a9da74a87960c,Learning to Disambiguate by Asking Discriminative Questions,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 2ab8956fef9526741c1e68c94d9a9da74a87960c,Learning to Disambiguate by Asking Discriminative Questions,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, +ceb4040acf7f27b4ca55da61651a14e3a1ef26a8,Angry Crowds: Detecting Violent Events in Videos,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, +ceb4040acf7f27b4ca55da61651a14e3a1ef26a8,Angry Crowds: Detecting Violent Events in Videos,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, ce2fd44a8c43642b76f219fe32291c1b2644cb73,Human Pose Forecasting via Deep Markov Models,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, ced73382d686dee6232c313f014bc21ca7536db0,Detection of Tongue Protrusion Gestures from Video,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, ce0aa94c79f60c35073f434a7fd6987180f81527,Achieving Anonymity against Major Face Recognition Algorithms,Ruhr-University Bochum,Ruhr-University Bochum,"RUB, 150, Universitätsstraße, Ruhr-Universität, Querenburg, Bochum-Süd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland",51.44415765,7.26096541,edu, @@ -4569,6 +5585,7 @@ cee66bd89d1e25355e78573220adcd017a2d97d8,Spatio-temporal human action localisati cee66bd89d1e25355e78573220adcd017a2d97d8,Spatio-temporal human action localisation and instance segmentation in temporally untrimmed videos,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, ce049cdb0582ffd46d2b8725c30ce73e48e796ad,Tracking individuals in surveillance video of a high-density crowd,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, ce83369da319607fe2832485913b0f30c00920aa,Human Detection Based on Large Feature Sets Using Graphics Processing Units,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, +ce83369da319607fe2832485913b0f30c00920aa,Human Detection Based on Large Feature Sets Using Graphics Processing Units,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, ce450e4849490924488664b44769b4ca57f1bc1a,Procedural Generation of Videos to Train Deep Action Recognition Networks,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, cefd9936e91885ba7af9364d50470f6cb54315a4,Expectation and surprise determine neural population responses in the ventral visual stream.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, cefd9936e91885ba7af9364d50470f6cb54315a4,Expectation and surprise determine neural population responses in the ventral visual stream.,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -4580,6 +5597,7 @@ ce56be1acffda599dec6cc2af2b35600488846c9,Inferring Sentiment from Web Images wit ce56be1acffda599dec6cc2af2b35600488846c9,Inferring Sentiment from Web Images with Joint Inference on Visual and Social Cues: A Regulated Matrix Factorization Approach,IBM Almaden Research Center,IBM Almaden Research Center,"IBM Almaden Research Center, San José, Santa Clara County, California, USA",37.21095605,-121.80748668,company, ce9b24f272b15b37d69b61ec8ecb3210ca6047e7,Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, ce9b24f272b15b37d69b61ec8ecb3210ca6047e7,Cell Identity Codes: Understanding Cell Identity from Gene Expression Profiles using Deep Neural Networks,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, +ce85d953086294d989c09ae5c41af795d098d5b2,Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ce142b327974580b297fb84c2c1c799f838bdda5,VADRA: Visual Adversarial Domain Randomization and Augmentation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, ce032dae834f383125cdd852e7c1bc793d4c3ba3,Motion Interchange Patterns for Action Recognition in Unconstrained Videos,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, ce032dae834f383125cdd852e7c1bc793d4c3ba3,Motion Interchange Patterns for Action Recognition in Unconstrained Videos,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, @@ -4599,8 +5617,13 @@ cef27cb257798380ceaa90fd65ccde1660957923,Detecting Gaze Towards Eyes in Natural cef27cb257798380ceaa90fd65ccde1660957923,Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, cef27cb257798380ceaa90fd65ccde1660957923,Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, cef27cb257798380ceaa90fd65ccde1660957923,Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +ceb02a8f874c84ece88fcc7be1530a581b1cd1b0,A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter Environment,India,India,India,20.59368400,78.96288000,edu, ce6dbde2ad8b5b9aee2ccf4a7e33e63ccfc3689a,Overcoming Language Priors in Visual Question Answering with Adversarial Regularization,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, ce6d60b69eb95477596535227958109e07c61e1e,Unconstrained face verification using fisher vectors computed from frontalized faces,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +ce54dd2b0c6c75208ac77420233419066dd0117f,ISSN 2348-375 X EAR SEGMENTATION USING DIFFERENTIAL BOX COUNTING APPROACH,India,India,India,20.59368400,78.96288000,edu, +ce54dd2b0c6c75208ac77420233419066dd0117f,ISSN 2348-375 X EAR SEGMENTATION USING DIFFERENTIAL BOX COUNTING APPROACH,India,India,India,20.59368400,78.96288000,edu, +ce9a61bcba6decba72f91497085807bface02daf,Eigen-harmonics faces: face recognition under generic lighting,China,China,China,35.86166000,104.19539700,edu, +ce9a61bcba6decba72f91497085807bface02daf,Eigen-harmonics faces: face recognition under generic lighting,China,China,China,35.86166000,104.19539700,edu, ceeb67bf53ffab1395c36f1141b516f893bada27,Face Alignment by Local Deep Descriptor Regression,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, ceeb67bf53ffab1395c36f1141b516f893bada27,Face Alignment by Local Deep Descriptor Regression,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, ceeb67bf53ffab1395c36f1141b516f893bada27,Face Alignment by Local Deep Descriptor Regression,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, @@ -4612,6 +5635,9 @@ ce9e1dfa7705623bb67df3a91052062a0a0ca456,Deep Feature Interpolation for Image Co ce300b006f42c1b64ca0e53d1cf28d11a98ece8f,Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the l 1-Norm Distances,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, fc7cd432db404e7724df7671d6e010109fe0c944,Pedestrian Detection Image Processing with FPGA A Major Qualifying Project Report,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, fc7cd432db404e7724df7671d6e010109fe0c944,Pedestrian Detection Image Processing with FPGA A Major Qualifying Project Report,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +fcc76b1762dbeb49cbfa30ca66bd405e015ca331,Training-Free Synthesized Face Sketch Recognition Using Image Quality Assessment Metrics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +fc6256156fbfdb21221c0aed2719f2b420e9d3b4,Pattern Recognition with Localized Gabor Wavelet Grids,"Subex Azure Limited, Bangalore, India","Subex Azure Limited, Bangalore, India","RMZ Ecoworld, Outer Ring Rd, Devarabisanahalli, Bengaluru, Karnataka 560103, India",12.92562000,77.68781300,edu, +fc6256156fbfdb21221c0aed2719f2b420e9d3b4,Pattern Recognition with Localized Gabor Wavelet Grids,India,India,India,20.59368400,78.96288000,edu, fc5bdb98ff97581d7c1e5eb2d24d3f10714aa192,Initialization Strategies of Spatio-Temporal Convolutional Neural Networks,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, fc5a100c117cd7291d626f1ec3402bec235f2635,IQA: Visual Question Answering in Interactive Environments,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, fcbec158e6a4ace3d4311b26195482b8388f0ee9,Face Recognition from Still Images and Videos,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, @@ -4619,6 +5645,7 @@ fca9ebaa30d69ccec8bb577c31693c936c869e72,Look Across Elapse: Disentangled Repres fca9ebaa30d69ccec8bb577c31693c936c869e72,Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, fc063670d362a89232f18336081791897ea505eb,Face Recognition using Sparse Projection Axes,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, fc063670d362a89232f18336081791897ea505eb,Face Recognition using Sparse Projection Axes,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +fc063670d362a89232f18336081791897ea505eb,Face Recognition using Sparse Projection Axes,China,China,China,35.86166000,104.19539700,edu, fc450e42aa2a491ff0afda144718d4f73d4d89f2,An Analysis of Visual Question Answering Algorithms,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, fc8d33f351111ed43f56ba6809558d5227d4dcbe,Attention-Aware Compositional Network for Person Re-identification,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" fc8d33f351111ed43f56ba6809558d5227d4dcbe,Attention-Aware Compositional Network for Person Re-identification,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, @@ -4628,10 +5655,13 @@ fc798314994bf94d1cde8d615ba4d5e61b6268b6,"Face Recognition : face in video , age fcc82154067dfe778423c2df4ed69f0bec6e1534,Automatic Analysis of Affect and Membership in Group Settings,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, fcc82154067dfe778423c2df4ed69f0bec6e1534,Automatic Analysis of Affect and Membership in Group Settings,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, fcc1ae9761926e9e7dbd23c2cb95ca39b0a71073,Assistive tagging: A survey of multimedia tagging with human-computer joint exploration,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +fcc1ae9761926e9e7dbd23c2cb95ca39b0a71073,Assistive tagging: A survey of multimedia tagging with human-computer joint exploration,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, fcc1ae9761926e9e7dbd23c2cb95ca39b0a71073,Assistive tagging: A survey of multimedia tagging with human-computer joint exploration,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, -fc027fccb19512a439fc17181c34ee1c3aad51b5,Joint Multi-person Pose Estimation and Semantic Part Segmentation,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +fc027fccb19512a439fc17181c34ee1c3aad51b5,Joint Multi-person Pose Estimation and Semantic Part Segmentation,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, fcd9df8238605f70a54492fb0c6bdc9f29afda98,3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +fc64f43cdcf4898b15ddce8b441d2ab9daa324f0,GABOR FILTER-BASED FACE RECOGNITION TECHNIQUE,Romania,Romania,Romania,45.94316100,24.96676000,edu, fcf91995dc4d9b0cee84bda5b5b0ce5b757740ac,Asymmetric Discrete Graph Hashing,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, +fc18642d17785ef1853749b5323bf87adb329537,Exploring Prior Knowledge for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu, fc18642d17785ef1853749b5323bf87adb329537,Exploring Prior Knowledge for Pedestrian Detection,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, fc2bad3544c7c8dc7cd182f54888baf99ed75e53,Efficient Retrieval for Large Scale Metric Learning,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, fc23a386c2189f221b25dbd0bb34fcd26ccf60fa,A Discriminative Latent Model of Object Classes and Attributes,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, @@ -4647,6 +5677,7 @@ fc68c5a3ab80d2d31e6fd4865a7ff2b4ab66ca9f,Evaluation Criteria for Affect-Annotate fc47b7b700915f078d4f1b42e5d5eafef1891db3,Hybrid Algorithm for the Optimization of Training Convolutional Neural Network,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, fc47b7b700915f078d4f1b42e5d5eafef1891db3,Hybrid Algorithm for the Optimization of Training Convolutional Neural Network,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, fc47b7b700915f078d4f1b42e5d5eafef1891db3,Hybrid Algorithm for the Optimization of Training Convolutional Neural Network,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, +fca6df7d36f449d48a8d1e48a78c860d52e3baf8,Fine-Grained Age Estimation in the wild with Attention LSTM Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, fcfb48b19f37e531a56ae95186a214b05c0b94c7,FACE RECOGNITION WITH EIGENFACES – A DETAILED STUDY,University of KwaZulu-Natal,University of KwaZulu-Natal,"238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa",-29.86742190,30.98072720,edu, fcff3baa6149f525b5675bd081a9337bec5ece41,N ov 2 01 8 A new approach for pedestrian density estimation using moving sensors and computer vision Sensing,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, fcff3baa6149f525b5675bd081a9337bec5ece41,N ov 2 01 8 A new approach for pedestrian density estimation using moving sensors and computer vision Sensing,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, @@ -4660,17 +5691,22 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimodal Language Understanding,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu, fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimodal Language Understanding,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 90b4470032f2796a347a0080bcd833c2db0e8bf0,Improving Image Clustering With Multiple Pretrained CNN Feature Extractors,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +9035e87ce49b67b751838c7346d36fe481260217,An Introduction to Random Forests for Multi-class Object Detection,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 9035e87ce49b67b751838c7346d36fe481260217,An Introduction to Random Forests for Multi-class Object Detection,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu, +904b96d0691c62cacd1d9456e623ab24901763a0,Facade Segmentation in the Wild,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu, 90d07df2d165b034e38ec04b3f6343d483f6cb38,Using Generative Adversarial Networks to Design Shoes : The Preliminary Steps,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 90d07df2d165b034e38ec04b3f6343d483f6cb38,Using Generative Adversarial Networks to Design Shoes : The Preliminary Steps,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 90d07df2d165b034e38ec04b3f6343d483f6cb38,Using Generative Adversarial Networks to Design Shoes : The Preliminary Steps,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 9067f14f5708b3ca1c6a8194b2d550fdffb3c1bd,A Pedestrian Detection Method Based on the HOG-LBP Feature and Gentle AdaBoost,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, +9067f14f5708b3ca1c6a8194b2d550fdffb3c1bd,A Pedestrian Detection Method Based on the HOG-LBP Feature and Gentle AdaBoost,China,China,China,35.86166000,104.19539700,edu, 90b212c9fa764b77a228419fb97d4d091366007c,TRAFFIC LIGHT DETECTION USING CONIC SECTION GEOMETRY,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, 90465149a7cb3f581697922f3c1b87de5be246cf,Interpolation-based Object Detection Using Motion Vectors for Embedded Real-time Tracking Systems,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, 90298f9f80ebe03cb8b158fd724551ad711d4e71,A Pursuit of Temporal Accuracy in General Activity Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 907189aacae7bff389d6c6592d6e2586dab5168d,A Framework for Applying Point Clouds Grabbed by Multi-Beam LIDAR in Perceiving the Driving Environment,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 907189aacae7bff389d6c6592d6e2586dab5168d,A Framework for Applying Point Clouds Grabbed by Multi-Beam LIDAR in Perceiving the Driving Environment,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 9063a486b2e216ef5abfbb8c7503accd2becc5ea,Two-Stream Multi-Task Network for Fashion Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +9063a486b2e216ef5abfbb8c7503accd2becc5ea,Two-Stream Multi-Task Network for Fashion Recognition,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, +9063a486b2e216ef5abfbb8c7503accd2becc5ea,Two-Stream Multi-Task Network for Fashion Recognition,China,China,China,35.86166000,104.19539700,edu, 90ea3a35e946af97372c3f32a170b179fe8352aa,Discriminant Learning for Face Recognition by Juwei Lu,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 9019286143f89561509506c3164f36f0e7e3a364,DeepNav: Learning to Navigate Large Cities,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 9019286143f89561509506c3164f36f0e7e3a364,DeepNav: Learning to Navigate Large Cities,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, @@ -4686,11 +5722,15 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 90a46cf5ca0f13154864aeefe3e8e30e9fde754c,Learning Hierarchical Feature Representation in Depth Image,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 90a46cf5ca0f13154864aeefe3e8e30e9fde754c,Learning Hierarchical Feature Representation in Depth Image,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 908e5f0610254f4993018855f0710c24bf326d93,Swarm Optimization Algorithms for Face Recognition,"National Institute of Technology, Rourkela",National Institute of Technology Rourkela,"National Institute of Technology, inside the department, Koel Nagar, Rourkela, Sundargarh, Odisha, 769002, India",22.25015890,84.90668557,edu, +908e5f0610254f4993018855f0710c24bf326d93,Swarm Optimization Algorithms for Face Recognition,India,India,India,20.59368400,78.96288000,edu, 90a4125974564a5ab6c2ce2ff685fc36e9cf0680,Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 90a4125974564a5ab6c2ce2ff685fc36e9cf0680,Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 90fbeb4c871d3916c2b428645a1e1482f05826e1,"Encode, Review, and Decode: Reviewer Module for Caption Generation",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +90863022d8593a70e574816e6a43f1fdab842e27,Two Dimensional Stochastic Configuration Networks for Image Data Analytics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 90dd2a53236b058c79763459b9d8a7ba5e58c4f1,Capturing Correlations Among Facial Parts for Facial Expression Analysis,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 90fcf4d23f490fe9ad38328b92a3a24a03115918,Towards Topological-Transformation Robust Shape Comparison: A Sparse Representation Based Manifold Embedding Approach,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +902114feaf33deac209225c210bbdecbd9ef33b1,Side-Information based Linear Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +902114feaf33deac209225c210bbdecbd9ef33b1,Side-Information based Linear Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 90eb833df9614da495712f4c1fbb65f8e7d9b356,Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu, 900207b3bc3a4e5244cae9838643a9685a84fee0,Reconstructing Geometry from Its Latent Structures,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu, 9078307c58d74ed6aab70363a5addc054db7fd1d,A Maternal Influence on Reading the Mind in the Eyes Mediated by Executive Function: Differential Parental Influences on Full and Half-Siblings,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, @@ -4700,23 +5740,37 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 905ba09d4db4f5e150457599553610fc2cb7e105,Efficient Pose and Cell Segmentation using Column Generation,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, 900bdd3fc700ebf9417c58df15a05eed8c52a90d,Comparative Deep Learning of Hybrid Representations for Image Recommendations,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 90fbcea84f621ee5d73482c5cb02479778aecccd,Pose-Invariant Face Recognition via RGB-D Images,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +90fbcea84f621ee5d73482c5cb02479778aecccd,Pose-Invariant Face Recognition via RGB-D Images,China,China,China,35.86166000,104.19539700,edu, 90fbcea84f621ee5d73482c5cb02479778aecccd,Pose-Invariant Face Recognition via RGB-D Images,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, +903a8db7bac7a2826cd98ae5425d839852274f7d,Like at First Sight: Understanding User Engagement with the World of Microvideos,"Bell Labs, Cambridge, UK","Bell Labs, Cambridge, UK","Cambridge, UK",52.20533700,0.12181700,edu, 908a899c716d63bd327dee4a72061db5674bdc92,Experiments with Face Recognition Using a Novel Approach Based on CVQ Technique,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 90621c2f4390d5fe75d16ec0ca1fa4eb190904b3,Exploiting Texture Cues for Clothing Parsing in Fashion Images,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, +90621c2f4390d5fe75d16ec0ca1fa4eb190904b3,Exploiting Texture Cues for Clothing Parsing in Fashion Images,Staqu Technologies,Staqu Technologies,"3rd floor, Mehrauli-Gurgaon Road, Sikanderpur, Sector 26, Gurugram, Haryana 122002, India",28.48127500,77.10044670,edu, +90d735cffd84e8f2ae4d0c9493590f3a7d99daf1,Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment,India,India,India,20.59368400,78.96288000,edu, +90d735cffd84e8f2ae4d0c9493590f3a7d99daf1,Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment,India,India,India,20.59368400,78.96288000,edu, +90d735cffd84e8f2ae4d0c9493590f3a7d99daf1,Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment,India,India,India,20.59368400,78.96288000,edu, 90943f17cb224c287d1bf117441781d43d2f9b49,Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 904949e9bf204c275ce366237ec1d3ebcf864a1a,Generating captions without looking beyond objects.,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 90918dfd9d754e1cd07ed6acafec9001a4685ce5,Human detection using partial least squares analysis,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 9004a833c65b89c88d2f50835dc47f2319a2c3d5,Augmented Attribute Representations,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +90bc77c8eb4cc28520b3fda4f492276602869019,StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +90bc77c8eb4cc28520b3fda4f492276602869019,StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +90bc77c8eb4cc28520b3fda4f492276602869019,StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 90a2c7db91c3a2ad1249a4c9e6d7d872529cae6a,Unsupervised construction of human body models Action editor :,Ruhr-University Bochum,Ruhr-University Bochum,"RUB, 150, Universitätsstraße, Ruhr-Universität, Querenburg, Bochum-Süd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland",51.44415765,7.26096541,edu, 90f0e0701b755bbce89cb0e4e3f0a070d49814a0,Beyond the retina: Evidence for a face inversion effect in the environmental frame of reference,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +90282cd8e122e102124b765ecbb22025a238f249,Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 90282cd8e122e102124b765ecbb22025a238f249,Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 9039b8097a78f460db9718bc961fdc7d89784092,3D Face Recognition Based on Local Shape Patterns and Sparse Representation Classifier,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 90ad0daa279c3e30b360f9fe9371293d68f4cebf,SPATIO-TEMPORAL FRAMEWORK AND ALGORITHMS FOR VIDEO-BASED FACE RECOGNITION,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, 90c4f15f1203a3a8a5bf307f8641ba54172ead30,A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 3650375acaed9b4b58e90065a9dbde0087f52524,Smart-Eyes: a FPGA-based smart camera platform with efficient multi-port memory controller,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +3650375acaed9b4b58e90065a9dbde0087f52524,Smart-Eyes: a FPGA-based smart camera platform with efficient multi-port memory controller,China,China,China,35.86166000,104.19539700,edu, 3650375acaed9b4b58e90065a9dbde0087f52524,Smart-Eyes: a FPGA-based smart camera platform with efficient multi-port memory controller,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +3650375acaed9b4b58e90065a9dbde0087f52524,Smart-Eyes: a FPGA-based smart camera platform with efficient multi-port memory controller,China,China,China,35.86166000,104.19539700,edu, +36cf96fe11a2c1ea4d999a7f86ffef6eea7b5958,RGB-D Face Recognition With Texture and Attribute Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3634b4dd263c0f330245c086ce646c9bb748cd6b,Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA" 36d18202745ec9abb70d8f7e6a4f28a55871e657,Pairwise Body-Part Attention for Recognizing Human-Object Interactions,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +36d18202745ec9abb70d8f7e6a4f28a55871e657,Pairwise Body-Part Attention for Recognizing Human-Object Interactions,China,China,China,35.86166000,104.19539700,edu, 364c79d2d98819b27641c651cf6553142ef747bf,Hedging your bets: Optimizing accuracy-specificity trade-offs in large scale visual recognition,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 36c2715522c3df4237d8e034dfe49d67eafd6382,"Scene Graph Generation from Objects, Phrases and Region Captions",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 36c2715522c3df4237d8e034dfe49d67eafd6382,"Scene Graph Generation from Objects, Phrases and Region Captions",University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, @@ -4726,6 +5780,9 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 3661a34f302883c759b9fa2ce03de0c7173d2bb2,Peak-Piloted Deep Network for Facial Expression Recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 3661a34f302883c759b9fa2ce03de0c7173d2bb2,Peak-Piloted Deep Network for Facial Expression Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 36231ced34602aea79cb19ee3e532cd568570e80,Chapter XVII Lip Motion Features for Biometric Person Recognition,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, +36231ced34602aea79cb19ee3e532cd568570e80,Chapter XVII Lip Motion Features for Biometric Person Recognition,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, +36e25994cfeab3dc487f9a82139c08f26cebf92f,Annealed Generative Adversarial Networks,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +36e25994cfeab3dc487f9a82139c08f26cebf92f,Annealed Generative Adversarial Networks,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 36e25994cfeab3dc487f9a82139c08f26cebf92f,Annealed Generative Adversarial Networks,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 360bb1bafa00dd1fa90a89766f5ef75061cfde75,Common-near-neighbor analysis for person re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, 360bb1bafa00dd1fa90a89766f5ef75061cfde75,Common-near-neighbor analysis for person re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, @@ -4733,6 +5790,7 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 36c473fc0bf3cee5fdd49a13cf122de8be736977,Temporal Segment Networks: Towards Good Practices for Deep Action Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 3686c59fac958de0b3911d5b08213994836ee96e,Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 3686c59fac958de0b3911d5b08213994836ee96e,Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +36d487129fd0b828255e417e0d10cf13d7f525cf,Reduced functional integration and segregation of distributed neural systems underlying social and emotional information processing in autism spectrum disorders.,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 36d487129fd0b828255e417e0d10cf13d7f525cf,Reduced functional integration and segregation of distributed neural systems underlying social and emotional information processing in autism spectrum disorders.,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 3676c29babe1563ee64a1149d2ae2f9f1369fe25,Visual saliency computation for image analysis,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 3676c29babe1563ee64a1149d2ae2f9f1369fe25,Visual saliency computation for image analysis,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, @@ -4755,15 +5813,16 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 361164861d8e4676079219f6d099358a31fc4025,Multiple Hypothesis Tracking Revisited,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, 36a0961cc64c4d3033aec820073d50c6470caa41,Indexing Methods for Efficient Multiclass Recognition Indexing Methods for Efficient Multiclass Recognition Indexing Methods for Efficient Multiclass Recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +36b9f46c12240898bafa10b0026a3fb5239f72f3,Collaborative Deep Reinforcement Learning for Joint Object Search,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 360f97f6cdbbac3912e2a531c7a9c1542d7ad9eb,LS 3 D : Single-View Gestalt 3 D Surface Reconstruction from Manhattan Line Segments,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, 364f357d4894aa004e442a5a92896a9b14a46862,Recovering 3-D Shape and Reflectance From a Small Number of Photographs,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 367a786cfe930455cd3f6bd2492c304d38f6f488,A Training Assistant Tool for the Automated Visual Inspection System,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 36fd702e5686f91b7e45434f8e2f6ef51feb2d54,Kernel-PCA Analysis of Surface Normals for Shape-from-Shading,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 36d858eb19bba43244b92f7faabfce47b13f2403,Materialization optimizations for feature selection workloads,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 36d858eb19bba43244b92f7faabfce47b13f2403,Materialization optimizations for feature selection workloads,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +36c91b1342c1357877e89b4c43f8eadb39755c0b,Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 361c9ba853c7d69058ddc0f32cdbe94fbc2166d5,Deep Reinforcement Learning of Video Games,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, 361c9ba853c7d69058ddc0f32cdbe94fbc2166d5,Deep Reinforcement Learning of Video Games,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, 3615bbdd4fe81acd9e5d166af731b5556b19a2cd,Efficient object localization using Convolutional Networks,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, @@ -4775,16 +5834,20 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 36631dcbb9452ea3d35b19b2de6ef709022531a6,"TRECVID 2016 : Evaluating Video Search , Video Event Detection , Localization , and Hyperlinking",EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, 36c948efd76f58ff1a5e42a2b69fbdc04913f7c4,A Review on Image Texture Analysis Methods,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 36ddf5d08ce753fe00efc844be3769f09dda9f91,Towards incremental and large scale face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +36ddf5d08ce753fe00efc844be3769f09dda9f91,Towards incremental and large scale face recognition,China,China,China,35.86166000,104.19539700,edu, 36c2db5ff76864d289781f93cbb3e6351f11984c,One colored image based 2.5D human face reconstruction,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu, 36091ff6b5d5a53d9641f5c3388b8c31b9ad4b49,Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 367f2668b215e32aff9d5122ce1f1207c20336c8,Speaker-Dependent Human Emotion Recognition in Unimodal and Bimodal Scenarios,University of Peshawar,University of Peshawar,"University of Peshawar, Road 2, JAHANGIR ABAD / جهانگیرآباد, پشاور‎, Peshāwar District, خیبر پختونخوا, 2500, ‏پاکستان‎",34.00920040,71.48774947,edu, 367f2668b215e32aff9d5122ce1f1207c20336c8,Speaker-Dependent Human Emotion Recognition in Unimodal and Bimodal Scenarios,University of Peshawar,University of Peshawar,"University of Peshawar, Road 2, JAHANGIR ABAD / جهانگیرآباد, پشاور‎, Peshāwar District, خیبر پختونخوا, 2500, ‏پاکستان‎",34.00920040,71.48774947,edu, 361aa2cfbc51ece34be511986205095363db94c5,Automatic landmark detection and face recognition for side-view face images,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +360a590703542f2ba345b432416398b6dad9e3fb,Multimodal Person Reidentification Using RGB-D Cameras,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 36a95f1a9fbe518427bbf33293488c71161313a9,Multi-Context Label Embedding,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 363cb83220451baa9f785a1fa738e41178e015c7,SPID: Surveillance Pedestrian Image Dataset and Performance Evaluation for Pedestrian Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +363cb83220451baa9f785a1fa738e41178e015c7,SPID: Surveillance Pedestrian Image Dataset and Performance Evaluation for Pedestrian Detection,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 36702fbc5195a6bafc0aa62aaa2b084f80e59785,Context-Aware Pedestrian Motion Prediction In Urban Intersections,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 3605647befd040a819f00b1539a6e3cc5ffb53b8,Vision-based bicyclist detection and tracking for intelligent vehicles,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 3605647befd040a819f00b1539a6e3cc5ffb53b8,Vision-based bicyclist detection and tracking for intelligent vehicles,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +36b27f74b9a7fe12cf6593cc8b73e764efce7dda,A Face ’ s Parent / Offspring Determination using Geometric Features and PCA : A Novel Approach,India,India,India,20.59368400,78.96288000,edu, 365117e2e47b83ec70014058de13d167619094ad,Adaptive Object Detection Using Adjacency and Zoom Prediction,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 365117e2e47b83ec70014058de13d167619094ad,Adaptive Object Detection Using Adjacency and Zoom Prediction,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 365117e2e47b83ec70014058de13d167619094ad,Adaptive Object Detection Using Adjacency and Zoom Prediction,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -4798,22 +5861,27 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586,Figure-Ground Organization Based on 3 D Symmetry,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 736e0b2e5a7e87a7d6e1412e7a4d4f180e89d586,Figure-Ground Organization Based on 3 D Symmetry,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 739e67fe178d1f96419846b34d6b2a90e6f7d3c1,A Pursuit Method for Video Annotation,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, -738fadaf40249146f33da5b9efbb72a1fdf8767d,Unsupervised Learning of Invariant Representations in Hierarchical Architectures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +738fadaf40249146f33da5b9efbb72a1fdf8767d,Unsupervised Learning of Invariant Representations in Hierarchical Architectures,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 739d400cb6fb730b894182b29171faaae79e3f01,A New Regularized Orthogonal Local Fisher Discriminant Analysis for Image Feature Extraction,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 7348ef42b65f308faff0c2cce10d366dfb3ff35e,INARY P ATTERNS FOR F ACE A UTHENTICATION,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 735418826055951ba8660bb008d92bfe6910330e,An Evaluation of Local Action Descriptors for Human Action Classification in the Presence of Occlusion,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 73d15a975b0595e0cc2e0981a9396a89c474dc7e,Gender Effect on Face Recognition for a Large Longitudinal Database,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu, 7397a8ab5cdfed63171d248f664eda919a9b51f4,Learning for Active 3D Mapping,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, 73f4be4b6e56f5bde875a8987f90ba799dde35b2,Deep Spatial Regression Model for Image Crowd Counting,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +73f4be4b6e56f5bde875a8987f90ba799dde35b2,Deep Spatial Regression Model for Image Crowd Counting,China,China,China,35.86166000,104.19539700,edu, 73f4be4b6e56f5bde875a8987f90ba799dde35b2,Deep Spatial Regression Model for Image Crowd Counting,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +73f4be4b6e56f5bde875a8987f90ba799dde35b2,Deep Spatial Regression Model for Image Crowd Counting,China,China,China,35.86166000,104.19539700,edu, 73fd7e74457e0606704c5c3d3462549f1b2de1ad,Learning Predictable and Discriminative Attributes for Visual Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 7372c1e9cb87dad88bc160536263e461bb7ab04c,Trajectory energy minimization for cell growth tracking and genealogy analysis,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b,Image Crowd Counting Using Convolutional Neural Network and Markov Random Field,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, 737f3cf354f40a6a7fd8a2058fe2803b8dd6c56b,Image Crowd Counting Using Convolutional Neural Network and Markov Random Field,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, 73b90573d272887a6d835ace89bfaf717747c59b,Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, +73764fa9bed84ad2c932dc8089ace7fa8fa7c1d3,"Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 73ea06787925157df519a15ee01cc3dc1982a7e0,Fast Face Image Synthesis with Minimal Training,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +7323b594d3a8508f809e276aa2d224c4e7ec5a80,An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7337e138e5ad5cbc40e4c7f99801ed7c096776a2,Implicit Diversity in Image Summarization,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 738a985fba44f9f5acd516e07d0d9578f2ffaa4e,MACHINE LEARNING TECHNIQUES FOR FACE ANALYSIS,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +735c38361d77e707ac48f0d040493c65ca559d3c,Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques),Microsoft Research Cambridge,Microsoft Research Cambridge,"21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,company, 73f1d09b56a23ad72da1373f062ae902547e2580,Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 73f1d09b56a23ad72da1373f062ae902547e2580,Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu, 73f1d09b56a23ad72da1373f062ae902547e2580,Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, @@ -4827,6 +5895,9 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 732e4016225280b485c557a119ec50cffb8fee98,Are all training examples equally valuable?,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 732e4016225280b485c557a119ec50cffb8fee98,Are all training examples equally valuable?,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 7363cc7e0c5b43ec12ba47bca587a325f719398a,Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +735be89c989ab7819e2f640960a8895e79913e21,A Video-Based Door Monitoring System Using Local Appearance-Based Face Models,India,India,India,20.59368400,78.96288000,edu, +735be89c989ab7819e2f640960a8895e79913e21,A Video-Based Door Monitoring System Using Local Appearance-Based Face Models,India,India,India,20.59368400,78.96288000,edu, +73fa81d2b01c81c6ede71d046f9101440884e604,Fuzzy Based Texton Binary Shape Matrix ( FTBSM ) for Texture Classification,India,India,India,20.59368400,78.96288000,edu, 73e4076a532ec6a0633aed5cf6009414cdaf1f6a,Illumination normalization using self-lighting ratios for 3d2d face recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 7358fe63042e186c03df0fb2d5f933eda94cb36a,It Takes Two to Tango: Towards Theory of AI's Mind,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 73298c5610004a8337baeb79f33c1519c0ba59e4,Computing Egomotion with Local Loop Closures for Egocentric Videos,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, @@ -4837,6 +5908,9 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 3ebbacf0bfe95781e70ee37085bb2addf30a40a7,Scalable Vision System for Mouse Homecage Ethology,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, 3e3a87eb24628ab075a3d2bde3abfd185591aa4c,Effects of sparseness and randomness of pairwise distance matrix on t-SNE results,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, 3e0a1884448bfd7f416c6a45dfcdfc9f2e617268,Understanding and Controlling User Linkability in Decentralized Learning,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +3e00dd86c084d8680409c65c1a48f1b3aa864eb7,Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +3e4b38b0574e740dcbd8f8c5dfe05dbfb2a92c07,Facial Expression Recognition with Local Binary Patterns and Linear Programming 1,Finland,Finland,Finland,61.92411000,25.74815110,edu, +3e4b38b0574e740dcbd8f8c5dfe05dbfb2a92c07,Facial Expression Recognition with Local Binary Patterns and Linear Programming 1,China,China,China,35.86166000,104.19539700,edu, 3ec653164169c1a1b5c12ece2130326606a24e6c,A Phase Discrepancy Analysis of Object Motion,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 3ec653164169c1a1b5c12ece2130326606a24e6c,A Phase Discrepancy Analysis of Object Motion,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 3ec653164169c1a1b5c12ece2130326606a24e6c,A Phase Discrepancy Analysis of Object Motion,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, @@ -4845,20 +5919,24 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 3e90a70d768415e28fbf0dd56e53f8933784c416,Highly Efficient Regression for Scalable Person Re-Identification,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 3ea0bc7cd58d4214d4ed20e8acfa76054f73654d,Recycled linear classifiers for multiclass classification,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 3e682d368422ff31632760611039372a07eeabc6,Articulated Multi-person Tracking in the Wild,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +3e6fa6cf1fe2e23fdf7716f89b160333c7a93b26,A Performance Evaluation of Single and Multi-feature People Detection,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 3eb5f1d466228c1345d92f906ab31ab93c160837,Single-Pedestrian Detection Aided by Multi-pedestrian Detection,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 3eb5f1d466228c1345d92f906ab31ab93c160837,Single-Pedestrian Detection Aided by Multi-pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 3e421fd1775413bf89abd8e39a35e5e29d1a4dab,Addressing bias in machine learning algorithms: A pilot study on emotion recognition for intelligent systems,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, -3e421fd1775413bf89abd8e39a35e5e29d1a4dab,Addressing bias in machine learning algorithms: A pilot study on emotion recognition for intelligent systems,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +3e421fd1775413bf89abd8e39a35e5e29d1a4dab,Addressing bias in machine learning algorithms: A pilot study on emotion recognition for intelligent systems,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 3e4bd67a10e291ad6d5614a6e97efb69b2dd051a,Learning Spatio-Temporal Features With Partial Expression Sequences for On-the-Fly Prediction,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, 3ec04a3536007433451a428e090d099c8b2a6add,Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, +3e51988542ced911184bce400a2a4af0b044396b,Face recognition system based on principal components analysis and distance measures,India,India,India,20.59368400,78.96288000,edu, 3e58fbb8cb96880e018ca18a60e2d86e3cb0c10a,Generative Partition Networks for Multi-Person Pose Estimation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 3e58fbb8cb96880e018ca18a60e2d86e3cb0c10a,Generative Partition Networks for Multi-Person Pose Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +3e58fbb8cb96880e018ca18a60e2d86e3cb0c10a,Generative Partition Networks for Multi-Person Pose Estimation,China,China,China,35.86166000,104.19539700,edu, 3e98719cc0b570c7a0c7c903efb010075dd267e7,Real Time Person Tracking and Behavior Interpretation in Multi Camera Scenarios Applying Homography and Coupled HMMs,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 3e40991ab1daa2a4906eb85a5d6a01a958b6e674,LipNet: End-to-End Sentence-level Lipreading,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 3eb298bfcc33f6e40bfd2e8788b13b256d2c0391,Towards Unified Human Parsing and Pose Estimation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 3eadf02a7ac57a2a0cc794180bf0b46b45a9e0a2,Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 3eadf02a7ac57a2a0cc794180bf0b46b45a9e0a2,Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 3eadf02a7ac57a2a0cc794180bf0b46b45a9e0a2,Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, +3e73e1e6530c17244a1bb4e4fa071b4a86757a47,Shape Classification Based on Skeletons,China,China,China,35.86166000,104.19539700,edu, 3ed60f021fe469f2423d04917e69864251d23e08,Metadata of the chapter that will be visualized in SpringerLink,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 3e16de062b9cdeecfcbda0de022f1fc4e741a2e6,Learning Visually-Grounded Semantics from Contrastive Adversarial Samples,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 3e16de062b9cdeecfcbda0de022f1fc4e741a2e6,Learning Visually-Grounded Semantics from Contrastive Adversarial Samples,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -4875,16 +5953,22 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 3ef997bf6306d157c062f0744ea0d8ce8f390e2a,Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 3ef997bf6306d157c062f0744ea0d8ce8f390e2a,Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 3e78402eab72d87eda1f0b44ca7ff54ba0b6b914,Hierarchical object groups for scene classification,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +3e159084e12ece3664a17bf4dd0eed8c5f06a33f,Deep Neural Networks with Inexact Matching for Person Re-Identification,India,India,India,20.59368400,78.96288000,edu, +3e159084e12ece3664a17bf4dd0eed8c5f06a33f,Deep Neural Networks with Inexact Matching for Person Re-Identification,India,India,India,20.59368400,78.96288000,edu, +3e159084e12ece3664a17bf4dd0eed8c5f06a33f,Deep Neural Networks with Inexact Matching for Person Re-Identification,India,India,India,20.59368400,78.96288000,edu, 3ec77809aaa7bd30858a4274e3c28a2a0259b30c,Latent trees for estimating intensity of Facial Action Units,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 3ec77809aaa7bd30858a4274e3c28a2a0259b30c,Latent trees for estimating intensity of Facial Action Units,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, 3ec77809aaa7bd30858a4274e3c28a2a0259b30c,Latent trees for estimating intensity of Facial Action Units,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 3efb04a9847284680b48214855eb0a962efa5c7b,De-identification for Privacy Protection in Surveillance Videos,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +3efb04a9847284680b48214855eb0a962efa5c7b,De-identification for Privacy Protection in Surveillance Videos,India,India,India,20.59368400,78.96288000,edu, 3e2ec9cea926bd02072aa41bd81eb4c593e205e9,Adversarial Information Factorization,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 3e2ec9cea926bd02072aa41bd81eb4c593e205e9,Adversarial Information Factorization,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 3e2ec9cea926bd02072aa41bd81eb4c593e205e9,Adversarial Information Factorization,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 3eda9f9c29cec4f44e210d40b54810de525d75fb,"Image Annotation Incorporating Low-Rankness, Tag and Visual Correlation and Inhomogeneous Errors",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 3e03435792619833d4e2aa14344761b003c10c67,A Simultaneously Calibration Approach for Installation and Attitude Errors of an INS/GPS/LDS Target Tracker,Harbin Engineering University,Harbin Engineering University,"哈尔滨工程大学, 文庙街 - Wenmiao Street, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.77445695,126.67684917,edu, 3e03435792619833d4e2aa14344761b003c10c67,A Simultaneously Calibration Approach for Installation and Attitude Errors of an INS/GPS/LDS Target Tracker,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +3ee425f59da3c8cb42bbfbc2c80122b767eece5e,A NOVEL APPROACH FOR LEARNED REPRESENTATION ON ROBUST FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu, +3ee425f59da3c8cb42bbfbc2c80122b767eece5e,A NOVEL APPROACH FOR LEARNED REPRESENTATION ON ROBUST FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu, 3e56cbce67d312af2b3a7d0981e9cb33d2236bea,Boosting attribute recognition with latent topics by matrix factorization,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 3e56cbce67d312af2b3a7d0981e9cb33d2236bea,Boosting attribute recognition with latent topics by matrix factorization,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 3e56cbce67d312af2b3a7d0981e9cb33d2236bea,Boosting attribute recognition with latent topics by matrix factorization,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, @@ -4897,24 +5981,30 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 3e211a93388dcf29dda4cd6d3d515042f2cffee7,Breaking the Chain: Liberation from the Temporal Markov Assumption for Tracking Human Poses,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 3e42e336d67dad79ab6355c02f1f045f8a71a18f,Autism spectrum traits in normal individuals: a preliminary VBM analysis,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, 3e42e336d67dad79ab6355c02f1f045f8a71a18f,Autism spectrum traits in normal individuals: a preliminary VBM analysis,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, +3eebe8a5adaa49e54ea909b4e2aeb436025c84d5,3 D Face Recognition Using Radon Transform and Symbolic Factorial Discriminant Analysis,India,India,India,20.59368400,78.96288000,edu, 0843ec2b76ef9401e60654fbfe71bac44ed19fae,A Two-Stage Approach for Bag Detection in Pedestrian Images,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 086131159999d79adf6b31c1e604b18809e70ba8,Deep Action Unit classification using a binned intensity loss and semantic context model,Villanova University,Villanova University,"Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA",40.03677740,-75.34202332,edu, 086131159999d79adf6b31c1e604b18809e70ba8,Deep Action Unit classification using a binned intensity loss and semantic context model,Villanova University,Villanova University,"Villanova University, East Lancaster Avenue, Radnor Township, Delaware County, Pennsylvania, 19010, USA",40.03677740,-75.34202332,edu, 080d9658e40581c7ba8c0cc1d86d1157eda92a3e,Periocular biometric recognition using image sets,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 084bebc5c98872e9307cd8e7f571d39ef9c1b81e,A Discriminative Feature Learning Approach for Deep Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 084bebc5c98872e9307cd8e7f571d39ef9c1b81e,A Discriminative Feature Learning Approach for Deep Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +0871062654a6ddd18dba940009676aaa1230f879,Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN,India,India,India,20.59368400,78.96288000,edu, 0871062654a6ddd18dba940009676aaa1230f879,Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +0871062654a6ddd18dba940009676aaa1230f879,Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN,India,India,India,20.59368400,78.96288000,edu, 08a6cbbb6d3aba08fc6a1c238278243222eaa5a8,Chapter II Lip Feature Extraction and Feature Evaluation in the Context of Speech and Speaker Recognition,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, +08a6cbbb6d3aba08fc6a1c238278243222eaa5a8,Chapter II Lip Feature Extraction and Feature Evaluation in the Context of Speech and Speaker Recognition,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 08aaaf56277f7f9897353a6b09a63ea90b4cc554,Multimedia Information Networks in Social Media,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 08eaa845a72a2b78e08e58592d8785942fced649,What's in a Question: Using Visual Questions as a Form of Supervision,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 081189493ca339ca49b1913a12122af8bb431984,Supplemental Material for Photorealistic Facial Texture Inference Using Deep Neural Networks,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 084bd02d171e36458f108f07265386f22b34a1ae,Face Alignment at 3000 FPS via Regressing Local Binary Features,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, -084bd02d171e36458f108f07265386f22b34a1ae,Face Alignment at 3000 FPS via Regressing Local Binary Features,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +084bd02d171e36458f108f07265386f22b34a1ae,Face Alignment at 3000 FPS via Regressing Local Binary Features,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 08bc0dd59187eaf919dfedf1d5849d1a875835df,On-line Hough Forests,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 08bc0dd59187eaf919dfedf1d5849d1a875835df,On-line Hough Forests,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 0816b525b03e47d995b3d97f1f9132a4f7a2cf9d,Gaze-enabled egocentric video summarization via constrained submodular maximization,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 0816b525b03e47d995b3d97f1f9132a4f7a2cf9d,Gaze-enabled egocentric video summarization via constrained submodular maximization,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +0816b525b03e47d995b3d97f1f9132a4f7a2cf9d,Gaze-enabled egocentric video summarization via constrained submodular maximization,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 089b5e8eb549723020b908e8eb19479ba39812f5,A Cross Benchmark Assessment of a Deep Convolutional Neural Network for Face Recognition,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, +08ecc281cdf954e405524287ee5920e7c4fb597e,Computational Assessment of Facial Expression Production in ASD Children,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 0862940a255d980d46ef041ab20f153276f96214,3D Object Representations for Fine-Grained Categorization,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 0862940a255d980d46ef041ab20f153276f96214,3D Object Representations for Fine-Grained Categorization,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 085ceda1c65caf11762b3452f87660703f914782,Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, @@ -4931,12 +6021,15 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 08d6aecf1ee531f8c62c22a256b2c2e58081df9d,Blocks That Shout: Distinctive Parts for Scene Classification,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, 08d6aecf1ee531f8c62c22a256b2c2e58081df9d,Blocks That Shout: Distinctive Parts for Scene Classification,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 08d41d2f68a2bf0091dc373573ca379de9b16385,Recursive Chaining of Reversible Image-to-image Translators For Face Aging,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +08d41d2f68a2bf0091dc373573ca379de9b16385,Recursive Chaining of Reversible Image-to-image Translators For Face Aging,Finland,Finland,Finland,61.92411000,25.74815110,edu, 089513ca240c6d672c79a46fa94a92cde28bd567,RNN Fisher Vectors for Action Recognition and Image Annotation,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 089513ca240c6d672c79a46fa94a92cde28bd567,RNN Fisher Vectors for Action Recognition and Image Annotation,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, +08ca2a2a543ee74e2bd6585e0a059b30aae65d30,Semantic Video Segmentation with Using Ensemble of Particular Classifiers and a Deep Neural Network for Systems of Detecting Abnormal Situations,Russia,Russia,Russia,61.52401000,105.31875600,edu, 087002ab569e35432cdeb8e63b2c94f1abc53ea9,Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 087002ab569e35432cdeb8e63b2c94f1abc53ea9,Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 08e3a0f80f10fc40cc1c043cbc4c873a76a6f6e8,Enhanced Pavlovian aversive conditioning to positive emotional stimuli.,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, 08e3a0f80f10fc40cc1c043cbc4c873a76a6f6e8,Enhanced Pavlovian aversive conditioning to positive emotional stimuli.,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, +08e3a0f80f10fc40cc1c043cbc4c873a76a6f6e8,Enhanced Pavlovian aversive conditioning to positive emotional stimuli.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 08cb294a08365e36dd7ed4167b1fd04f847651a9,Examining visible articulatory features in clear and conversational speech,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 08cb294a08365e36dd7ed4167b1fd04f847651a9,Examining visible articulatory features in clear and conversational speech,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 08e69a871487b52510699c07859b4aaec122d3df,Visual Coreference Resolution in Visual Dialog Using Neural Module Networks,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -4956,9 +6049,10 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 084352b63e98d3b3310521fb3bda8cb4a77a0254,Part-based multiple-person tracking with partial occlusion handling,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 084352b63e98d3b3310521fb3bda8cb4a77a0254,Part-based multiple-person tracking with partial occlusion handling,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, 08e995c080a566fe59884a527b72e13844b6f176,A New KSVM + KFD Model for Improved Classification and Face Recognition,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, +08d625158727bd97ba6fc58992158ee55a53011c,HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 08f6ad0a3e75b715852f825d12b6f28883f5ca05,Face recognition: Some challenges in forensics,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 08d2a558ea2deb117dd8066e864612bf2899905b,Person Re-identification with Deep Similarity-Guided Graph Neural Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, -081e540e0f3b4741c1f27092f52fef01bb81f06d,Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +081e540e0f3b4741c1f27092f52fef01bb81f06d,Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 081e540e0f3b4741c1f27092f52fef01bb81f06d,Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 081e540e0f3b4741c1f27092f52fef01bb81f06d,Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 08a98822739bb8e6b1388c266938e10eaa01d903,SensorSift: balancing sensor data privacy and utility in automated face understanding,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, @@ -4966,7 +6060,9 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 820e4727827646c79a9a5d862c510d26be5356f1,"Gaze Behaviour , Motivational Factors , and Knowledge Sharing Completed Research Paper",Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu, 82d5e927c4f1429c07552bfc7bebd5f0e3f2f444,Histogram Sequence of Local Gabor Binary Pattern for Face Description and Identification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 82006f2cdf0929f804785ad176ef3f8e7fbbfd3c,Dynamic texture and scene classification by transferring deep image features,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +82d9296eb2edc12f6cb830fba78d5bf9469a94b9,Pedestrian Detection Based on Sparse and Low-Rank Matrix Decomposition,China,China,China,35.86166000,104.19539700,edu, 82d9296eb2edc12f6cb830fba78d5bf9469a94b9,Pedestrian Detection Based on Sparse and Low-Rank Matrix Decomposition,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, +82d9296eb2edc12f6cb830fba78d5bf9469a94b9,Pedestrian Detection Based on Sparse and Low-Rank Matrix Decomposition,China,China,China,35.86166000,104.19539700,edu, 823db29d4c2a79e309ad2b394a4aaa83d9e15284,Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 823db29d4c2a79e309ad2b394a4aaa83d9e15284,Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 829ddf932d7164ebc915095a4a94471049825410,Towards Around-Device Interaction using Corneal Imaging,Coburg University,Coburg University,"Hochschule für angewandte Wissenschaften Coburg, 2, Friedrich-Streib-Straße, Callenberg, Coburg, Oberfranken, Bayern, 96450, Deutschland",50.26506145,10.95196483,edu, @@ -4992,24 +6088,33 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 824d1db06e1c25f7681e46199fd02cb5fc343784,Representing Relative Visual Attributes with a Reference-Point-Based Decision Model,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 824d1db06e1c25f7681e46199fd02cb5fc343784,Representing Relative Visual Attributes with a Reference-Point-Based Decision Model,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 82f8652c2059187b944ce65e87bacb6b765521f6,Discriminative Object Categorization with External Semantic Knowledge,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +82088af865626e2340db12b2e42f3a258053d593,Learning Generative ConvNets via Multi-grid Modeling and Sampling,China,China,China,35.86166000,104.19539700,edu, 82317f5ac40e982b8ec5b2634f1214db259ca325,Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 82317f5ac40e982b8ec5b2634f1214db259ca325,Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 828a7b3122ebd5b8b0c617902bc04ac5a6c60240,"Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner",National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 828a7b3122ebd5b8b0c617902bc04ac5a6c60240,"Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner",Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 82d446206a3e9afba7e5b8c112227df681ef422a,Super-resolution from internet-scale scene matching,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 82d446206a3e9afba7e5b8c112227df681ef422a,Super-resolution from internet-scale scene matching,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +82ff25b6e7749e0210b2f8d5a0666f3499745154,Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment,India,India,India,20.59368400,78.96288000,edu, +82ff25b6e7749e0210b2f8d5a0666f3499745154,Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment,India,India,India,20.59368400,78.96288000,edu, 8233c1d79ddad9d969b995d4ef2c6f8ea9acc646,Hamiltonian Streamline Guided Feature Extraction with Applications to Face Detection,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu, 8233c1d79ddad9d969b995d4ef2c6f8ea9acc646,Hamiltonian Streamline Guided Feature Extraction with Applications to Face Detection,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu, +82b8a0c3e8f46ab0af5179a9d9a6b137405096d3,Generalized Low-Rank Approximations of Matrices Revisited,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +82485c89a6b48077b03b65a774fd5768ea768d4d,Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 823e57c126124254cf96c723fe1bace505271220,Dorsal Stream : From Algorithm To Neuroscience by Hueihan Jhuang,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 8241008f9d3d5e866f648eb454db2054202121ef,Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 8241008f9d3d5e866f648eb454db2054202121ef,Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 8241008f9d3d5e866f648eb454db2054202121ef,Heterogeneous Multi-task Learning for Human Pose Estimation with Deep Convolutional Neural Network,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 82729f984c514bd0a5157c28b75ff0236d609384,Deep Feature Flow for Video Recognition,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, -82729f984c514bd0a5157c28b75ff0236d609384,Deep Feature Flow for Video Recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +82729f984c514bd0a5157c28b75ff0236d609384,Deep Feature Flow for Video Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 8205d8ca2739f701c1e79490fb1daf4d1f0c356b,A CASE STUDY ON MULTI-MODAL BIOMETRIC EXPERTS IN THE CLOUD,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 8205d8ca2739f701c1e79490fb1daf4d1f0c356b,A CASE STUDY ON MULTI-MODAL BIOMETRIC EXPERTS IN THE CLOUD,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 826f1ac8ef16abd893062fdf5058a09881aed516,Identity-Preserving Face Recovery from Portraits,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 82766851c790a5225f3b932239e831e1b60f5ee7,Combining motion and appearance for gender classification from video sequences,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +82e4ae961dca2693742c7d35b8647243d9083613,Hybrid Primary and Secondary Biometric Fusion,India,India,India,20.59368400,78.96288000,edu, +82e4ae961dca2693742c7d35b8647243d9083613,Hybrid Primary and Secondary Biometric Fusion,India,India,India,20.59368400,78.96288000,edu, +82e4ae961dca2693742c7d35b8647243d9083613,Hybrid Primary and Secondary Biometric Fusion,India,India,India,20.59368400,78.96288000,edu, +82224858677af47b8c836df701eeea8fffaec924,Paper On Person Identification System Using Multi-Model Biometric Based On Face,India,India,India,20.59368400,78.96288000,edu, 82eb267b8e86be0b444e841b4b4ed4814b6f1942,Single Image 3D Interpreter Network,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 82eb267b8e86be0b444e841b4b4ed4814b6f1942,Single Image 3D Interpreter Network,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 828cfe547a2c9719dea68698dfa168b0bdd22aed,Max-margin transforms for visual domain adaptation,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, @@ -5038,6 +6143,7 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 61e65cb1391c11ccc4476a19853d616153e522bd,RECOGNITION FOR MEANINGFUL HUMAN-COMPUTER INTERACTION IN A SMART ENVIRONMENT,Sabanci University,Sabanci University,"Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepeören, Tuzla, İstanbul, Marmara Bölgesi, 34953, Türkiye",40.89271590,29.37863323,edu, 61efeb64e8431cfbafa4b02eb76bf0c58e61a0fa,Merging datasets through deep learning,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, 61efeb64e8431cfbafa4b02eb76bf0c58e61a0fa,Merging datasets through deep learning,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, +61228ef559e4d73c8c726115f945f5f86d5638fb,Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 616b7093cfe6ec679f25d63f62c16e937227258f,Bayesian Multi-object Tracking Using Motion Context from Multiple Objects,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, 614a547cb976fae955e276feb2ccc9a33f1c7806,Classifier-asa-Service : Online Query of Cascades and Operating Points,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 6184ddbe780cb934f036b04dd1d28226b6bcbcce,Supervised hashing with kernels,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, @@ -5072,17 +6178,22 @@ fc3ee00a751ca4871e3ba40b81120b1bc3a57fc0,How2: A Large-scale Dataset for Multimo 61acd4e07657094c2720bb60299dba0014ec89a6,Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, 61acd4e07657094c2720bb60299dba0014ec89a6,Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 616e69647b02e69cffa7eeb83cf3e72b8c532653,Spatiotemporal Networks for Video Emotion Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +616e69647b02e69cffa7eeb83cf3e72b8c532653,Spatiotemporal Networks for Video Emotion Recognition,China,China,China,35.86166000,104.19539700,edu, 616e69647b02e69cffa7eeb83cf3e72b8c532653,Spatiotemporal Networks for Video Emotion Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +616e69647b02e69cffa7eeb83cf3e72b8c532653,Spatiotemporal Networks for Video Emotion Recognition,China,China,China,35.86166000,104.19539700,edu, 6115445ca062b8f865f0b447c059813088b9dd49,A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering,Polytechnique Montreal,Polytechnique Montr´eal,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada",45.50438400,-73.61288290,edu,"Polytechnique Montreal, Montreal, Quebec, Canada" 61be9e8b1f2d642eb0b91a6097fe1c50c37a285c,Face Alignment Based on 3D Face Shape Model and Markov Random Field,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +61be9e8b1f2d642eb0b91a6097fe1c50c37a285c,Face Alignment Based on 3D Face Shape Model and Markov Random Field,China,China,China,35.86166000,104.19539700,edu, 61f93ed515b3bfac822deed348d9e21d5dffe373,Deep Image Set Hashing,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 61f93ed515b3bfac822deed348d9e21d5dffe373,Deep Image Set Hashing,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, e7b2b0538731adaacb2255235e0a07d5ccf09189,Learning Deep Representations with Probabilistic Knowledge Transfer,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, e793f8644c94b81b7a0f89395937a7f8ad428a89,LPM for Action Recognition in Temporally Untrimmed Videos,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, e73696016b43314a7bef6015dacbe702af472d96,End-to-End Recovery of Human Shape and Pose,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, e726dd07b6b4e5369f3b6031b36f01cd45cfd645,Online Spatio-temporal Structural Context Learning for Visual Tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +e726dd07b6b4e5369f3b6031b36f01cd45cfd645,Online Spatio-temporal Structural Context Learning for Visual Tracking,China,China,China,35.86166000,104.19539700,edu, e762f25f13d6dbb95dc59af5e6fbb2160fcf4d55,Zero-Shot Detection,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, e7d840cf207802918e5b09af0a650b8f38f824a8,Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings.,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +e78042d77765c0fd3c09651b679e15ffd6b7e8a1,Optimized Projection for Sparse Representation Based Classification,China,China,China,35.86166000,104.19539700,edu, e78042d77765c0fd3c09651b679e15ffd6b7e8a1,Optimized Projection for Sparse Representation Based Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e78042d77765c0fd3c09651b679e15ffd6b7e8a1,Optimized Projection for Sparse Representation Based Classification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, e7397f7f0e83494825d63b75bdd40c3879f369cd,Open-world Person Re-Identification by Multi-Label Assignment Inference,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, @@ -5104,33 +6215,42 @@ e73a14bbf3d00fb72b710b6c62639d65bf4ee415,Scheduling and Tuning for Low Energy in 7b8baf809d9b643145e089b7a1650923487cf451,Do Deep Convolutional Nets Really Need to be Deep and Convolutional?,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 7b8baf809d9b643145e089b7a1650923487cf451,Do Deep Convolutional Nets Really Need to be Deep and Convolutional?,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, 7b8baf809d9b643145e089b7a1650923487cf451,Do Deep Convolutional Nets Really Need to be Deep and Convolutional?,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, -7b8baf809d9b643145e089b7a1650923487cf451,Do Deep Convolutional Nets Really Need to be Deep and Convolutional?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +7b8baf809d9b643145e089b7a1650923487cf451,Do Deep Convolutional Nets Really Need to be Deep and Convolutional?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 7ba27dc104ce8d8ed2925f1e982d5d54c7db54af,Joint Voxel and Coordinate Regression for Accurate 3D Facial Landmark Localization,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 7bd837a934c6cd6ee858bdfd4ee0f8fa3663fed7,A Generic Model to Compose Vision Modules for Holistic Scene Understanding,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 7bd837a934c6cd6ee858bdfd4ee0f8fa3663fed7,A Generic Model to Compose Vision Modules for Holistic Scene Understanding,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 7b74b65983ae0abb09a540b6413a5a36b2df027a,Gated Transfer Network for Transfer Learning,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 7bc8d81a38899b60704681125ec4fc584a3e7ba4,Look me in the eyes: constraining gaze in the eye-region provokes abnormally high subcortical activation in autism,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu, +7b6f0c4b22aee0cb4987cba9df121d4076fac5a5,On Learning 3D Face Morphable Model from In-the-wild Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7bcb505d93175d0b89ff7aca76caf579ddf12339,PixelNN: Example-based Image Synthesis,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7b3231245a3d518085c8e747e2c2232963f49bc5,Tracking millions of humans in crowded space in crowded spaces,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 7b63ed54345d8c06523f6b03c41a09b5c8f227e2,Facial expression recognition based on combination of spatio-temporal and spectral features in local facial regions,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 7b0c88bc555e3ced093e5cecb5dc1996f42eeeec,Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees,Iowa State University,Iowa State University,"Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA",42.02791015,-93.64464415,edu, 7bfa04eb7ba2830a682a15206370abec49cffd2a,Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach,ETH Zurich,"Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu, +7b9ebcc8b9c05ef661182fe73438b7725584817d,Restoring effects of oxytocin on the attentional preference for faces in autism,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 7b43326477795a772c08aee750d3e433f00f20be,Computational Methods for Behavior Analysis,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 7b21db9efc3403fa054739921e29aedcc81b1fb1,Exploring Correlations in Multiple Facial Attributes through Graph Attention Network,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +7b21db9efc3403fa054739921e29aedcc81b1fb1,Exploring Correlations in Multiple Facial Attributes through Graph Attention Network,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 7b05abdb4a842106c1fe25019a5695982ac4b2e2,Unsupervised Single Image Dehazing Using Dark Channel Prior Loss.,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, 7b05abdb4a842106c1fe25019a5695982ac4b2e2,Unsupervised Single Image Dehazing Using Dark Channel Prior Loss.,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, +7bdcd85efd1e3ce14b7934ff642b76f017419751,Learning Discriminant Face Descriptor,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7b1dd2708e1d7bf0fdcda437de1970a9a6facc0d,Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7b47eb8faaf9c2275cdc70299b850ed649ceec62,1 D-LDA versus 2 D-LDA : When Is Vector-based Linear Discriminant Analysis Better than Matrix-based ?,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 7b47eb8faaf9c2275cdc70299b850ed649ceec62,1 D-LDA versus 2 D-LDA : When Is Vector-based Linear Discriminant Analysis Better than Matrix-based ?,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +7b47eb8faaf9c2275cdc70299b850ed649ceec62,1 D-LDA versus 2 D-LDA : When Is Vector-based Linear Discriminant Analysis Better than Matrix-based ?,China,China,China,35.86166000,104.19539700,edu, 7b47eb8faaf9c2275cdc70299b850ed649ceec62,1 D-LDA versus 2 D-LDA : When Is Vector-based Linear Discriminant Analysis Better than Matrix-based ?,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 7be60f8c34a16f30735518d240a01972f3530e00,Facial expression recognition with temporal modeling of shapes,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 7b4e0a98dcb4ba34afcc5901f51384ba727473a0,Introduction to Emotion Recognition,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +7b4e0a98dcb4ba34afcc5901f51384ba727473a0,Introduction to Emotion Recognition,India,India,India,20.59368400,78.96288000,edu, 7b45aa509184b05064eafb362f80ba5778566a4e,High-Level Interpretation of Urban Road Maps Fusing Deep Learning-Based Pixelwise Scene Segmentation and Digital Navigation Maps,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 7b8b1571639f901275da22ee8f1de852350bf38e,Improved Deep Learning of Object Category Using Pose Information,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 7bbf17225773aa811e015479ced7de72063c3839,Learning Single-Image Depth from Videos using Quality Assessment Networks,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 7bbf17225773aa811e015479ced7de72063c3839,Learning Single-Image Depth from Videos using Quality Assessment Networks,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 7bf04c79f2659a404c9b9b91e0375e1450c3adbe,Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +7bf04c79f2659a404c9b9b91e0375e1450c3adbe,Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 7be7c9dd3c2c116adfe7bee55544bc7874c16a5b,Visual-LiDAR Odometry Aided by Reduced IMU,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, 7be7c9dd3c2c116adfe7bee55544bc7874c16a5b,Visual-LiDAR Odometry Aided by Reduced IMU,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, +7b331c80a91acf3616afd88e78801ac55c874f43,Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach With Progressive Observation Modeling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7ba4b47d3bc516194a71e6be6d59dfa91c80c09b,Biometric Recognition Using Three-Dimensional Ear Shape,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 7bc1318403cdb4895a4437993d288068a8e85f5f,Fast-Converging Conditional Generative Adversarial Networks for Image Synthesis,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, 7b4d985d03ebf8465757877f0eeaea00fa77676b,Dyadic Dynamics: The Impact of Emotional Responses to Facial Expressions on the Perception of Power,University of Haifa,University of Haifa,"אוניברסיטת חיפה, חיפה, מחוז חיפה, ישראל",32.76162915,35.01986304,edu, @@ -5152,7 +6272,7 @@ e73a14bbf3d00fb72b710b6c62639d65bf4ee415,Scheduling and Tuning for Low Energy in 6bdfd62ae9eb026dbc37f6f2db897fbee5cf8a5d,Randomised Manifold Forests for Principal Angle-Based Face Recognition,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 6b9e8acef979c13fa9ecc8fe9b635b312fedbcbe,Multiple Structured-Instance Learning for Semantic Segmentation with Uncertain Training Data,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 6b6afc9557dc0670bf2792bde4c4389ac52c707f,What Action Causes This? Towards Naive Physical Action-Effect Prediction,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, -6b6afc9557dc0670bf2792bde4c4389ac52c707f,What Action Causes This? Towards Naive Physical Action-Effect Prediction,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +6b6afc9557dc0670bf2792bde4c4389ac52c707f,What Action Causes This? Towards Naive Physical Action-Effect Prediction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 6b6866fbb4354e30ab34db9d6a8a07da4bf25777,Biometrics of next Generation: an Overview 1.1 Introduction,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 6b6866fbb4354e30ab34db9d6a8a07da4bf25777,Biometrics of next Generation: an Overview 1.1 Introduction,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 6b1f12995c88412607d8c36b3d5b0aa6a5cba7a3,Learning semantic attributes via a common latent space,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, @@ -5162,6 +6282,8 @@ e73a14bbf3d00fb72b710b6c62639d65bf4ee415,Scheduling and Tuning for Low Energy in 6b47b1c5a628ddb939d0088b36753ca29b3f9b76,Real-time Three-stage Eye Feature Extraction,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 6b47b1c5a628ddb939d0088b36753ca29b3f9b76,Real-time Three-stage Eye Feature Extraction,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 6b3e360b80268fda4e37ff39b7f303e3684e8719,FACE RECOGNITION FROM SKETCHES USING ADVANCED CORRELATION FILTERS USING HYBRID EIGENANALYSIS FOR FACE SYNTHESIS,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +6be0ab66c31023762e26d309a4a9d0096f72a7f0,Enhance Visual Recognition under Adverse Conditions via Deep Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +6be0ab66c31023762e26d309a4a9d0096f72a7f0,Enhance Visual Recognition under Adverse Conditions via Deep Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6bcee7dba5ed67b3f9926d2ae49f9a54dee64643,Assessment of time dependency in face recognition: an initial study,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 6b011aa54aeabae8ac172a0cf0dd4333d1bfd327,Supervised Algorithm Selection for Flow and Other Computer Vision Problems,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 6baaca1b6de31ac2a5b1f89e9b3baa61e41d52f9,Deep Colorization,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, @@ -5172,6 +6294,8 @@ e73a14bbf3d00fb72b710b6c62639d65bf4ee415,Scheduling and Tuning for Low Energy in 6b68e3388ddecfcb0671dee6fba9a895aaf3d4e3,Fusing shape and appearance information for object category detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 6bca0d1f46b0f7546ad4846e89b6b842d538ee4e,Face Recognition from Surveillance-quality Video Face Recognition from Surveillance-quality Video,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 6b7f7817b2e5a7e7d409af2254a903fc0d6e02b6,Feature Extraction through Cross-Phase Congruency for Facial Expression Analysis,University of Oradea,University of Oradea,"Universitatea Creștină Partium - Clădirea Sulyok, 27, Strada Primăriei, Orașul Nou, Oradea, Bihor, 410209, România",47.05702220,21.92270900,edu, +6b7f7817b2e5a7e7d409af2254a903fc0d6e02b6,Feature Extraction through Cross-Phase Congruency for Facial Expression Analysis,Romania,Romania,Romania,45.94316100,24.96676000,edu, +6b7f7817b2e5a7e7d409af2254a903fc0d6e02b6,Feature Extraction through Cross-Phase Congruency for Facial Expression Analysis,Romania,Romania,Romania,45.94316100,24.96676000,edu, 6bd36e9fd0ef20a3074e1430a6cc601e6d407fc3,DeepReID: Deep Filter Pairing Neural Network for Person Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 6bd3a97eab2cf35050e722011fdf3e862a9158cb,TOWARDS FACE RECOGNITION AT A DISTANCE,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 6bd3a97eab2cf35050e722011fdf3e862a9158cb,TOWARDS FACE RECOGNITION AT A DISTANCE,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, @@ -5196,22 +6320,35 @@ e73a14bbf3d00fb72b710b6c62639d65bf4ee415,Scheduling and Tuning for Low Energy in 6bb51f431f348b2b3e1db859827e80f97a576c30,Irregular Convolutional Neural Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e4236c286787cc608ec42abba2e51eb36f108b14,Deep Word Embeddings for Visual Speech Recognition,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, e4691de78d35ed7085311a466b8d02198bf714ac,The relation between race-related implicit associations and scalp-recorded neural activity evoked by faces from different races.,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, +e4e95b8bca585a15f13ef1ab4f48a884cd6ecfcc,Face Recognition with Independent Component Based Super-resolution,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, e4e3faa47bb567491eaeaebb2213bf0e1db989e1,Empirical Risk Minimization for Metric Learning Using Privileged Information,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, e4e3faa47bb567491eaeaebb2213bf0e1db989e1,Empirical Risk Minimization for Metric Learning Using Privileged Information,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +e44d8409bb5233bd1822555bf85095a80e27fd49,Spatio-temporal interaction model for crowd video analysis,India,India,India,20.59368400,78.96288000,edu, +e44d8409bb5233bd1822555bf85095a80e27fd49,Spatio-temporal interaction model for crowd video analysis,India,India,India,20.59368400,78.96288000,edu, e43045a061421bd79713020bc36d2cf4653c044d,A New Representation of Skeleton Sequences for 3D Action Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, e48fb3ee27eef1e503d7ba07df8eb1524c47f4a6,Illumination invariant face recognition and impostor rejection using different MINACE filter algorithms,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +e4bce7dabefaff6069fc0773773c80dbc4865005,Evaluation of Face Recognition using Principle Component Analysis and Two Dimensional Component Analysis,India,India,India,20.59368400,78.96288000,edu, e4b88898d8ac1086e82ecc2fba82fb174bf9adaa,PacGAN: The power of two samples in generative adversarial networks,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +e4b9c14951cea6259dd9d522586ba2c5bb1fbcce,Social Image Captioning: Exploring Visual Attention and User Attention,China,China,China,35.86166000,104.19539700,edu, +e4a05b1a478a2aeb6c0b1a4a42f8bdb4f97122f6,Quality Fusion Rule for Face Recognition in Video,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, +e472ab9005af1beb1e0d4a11d83e552c89b4cec2,"An Integrated Approach to Robust Human Face Detection for Complicated Facial Expressions , Angles and Illuminations",India,India,India,20.59368400,78.96288000,edu, +e472ab9005af1beb1e0d4a11d83e552c89b4cec2,"An Integrated Approach to Robust Human Face Detection for Complicated Facial Expressions , Angles and Illuminations","SSN College of Engineering, Chennai, India","SSN College of Engineering, Chennai, India","Old Mahabalipuram Rd, Kalavakkam, Tamil Nadu 603110, India",12.75086510,80.19727020,edu, e4a6d0ce979c2067c6d0aec9e7a22113b8d3b7d7,Fine-grained Activity Recognition in Baseball Videos,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, e4bc529ced68fae154e125c72af5381b1185f34e,PERCEPTUAL GOAL SPECIFICATIONS FOR REINFORCEMENT LEARNING,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +e478c322de923337627487d8a688f5922b45b2ff,Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification,India,India,India,20.59368400,78.96288000,edu, e423501edc7a096522eb9596d6259e9ae93ce911,Identification of versions of the same musical composition by processing audio descriptions,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, e4183e539b90ac02f55ccf16eb154bc269576290,The Unusual Effectiveness of Averaging in GAN Training,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, e4183e539b90ac02f55ccf16eb154bc269576290,The Unusual Effectiveness of Averaging in GAN Training,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, e4183e539b90ac02f55ccf16eb154bc269576290,The Unusual Effectiveness of Averaging in GAN Training,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, e4444820fb3f6d1f41c6ea51c6b2ab8ceb04a3a5,View-Driven Deduplication with Active Learning,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +e4a1b46b5c639d433d21b34b788df8d81b518729,Side Information for Face Completion: a Robust PCA Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +e4a1b46b5c639d433d21b34b788df8d81b518729,Side Information for Face Completion: a Robust PCA Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, e483482e19b022a1cd7081dc2757bb8a85774ed7,Action Recognition From Weak Alignment of Body Parts,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +e483482e19b022a1cd7081dc2757bb8a85774ed7,Action Recognition From Weak Alignment of Body Parts,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, e483482e19b022a1cd7081dc2757bb8a85774ed7,Action Recognition From Weak Alignment of Body Parts,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, e483482e19b022a1cd7081dc2757bb8a85774ed7,Action Recognition From Weak Alignment of Body Parts,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, e4cf6a559b4002b650dde376005a64b064963b19,Memory Based Online Learning of Deep Representations from Video Streams,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +e41e1e4d9e578c29bf648e7098c466935b50f1a9,A Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level Segmentation,Pennsylvania State University,Pennsylvania State University,,,,edu, e42998bbebddeeb4b2bedf5da23fa5c4efc976fa,Generic Active Appearance Models Revisited,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, e42998bbebddeeb4b2bedf5da23fa5c4efc976fa,Generic Active Appearance Models Revisited,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu, e42d055d59f6b5b0bf677975d21544aad26a5417,Learning to Appreciate the Aesthetic Effects of Clothing,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -5221,11 +6358,16 @@ e405c59d9e13c4d72050535f00cd3696ac004740,Robust Estimation via Robust Gradient E e483f644eb20d79402bab1f5d96025598e101f82,Heterogeneous Multilayer Generalized Operational Perceptron,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, e483f644eb20d79402bab1f5d96025598e101f82,Heterogeneous Multilayer Generalized Operational Perceptron,Qatar University,Qatar University,"Qatar University, Roindabout 3, Al Tarfa (68), أم صلال, 24685, ‏قطر‎",25.37461295,51.48980354,edu, e4433daf01a4e55ffca764c1e161f83552db081f,Exposure Is Not Enough: Suppressing Stimuli from Awareness Can Abolish the Mere Exposure Effect,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, +e4bf70e818e507b54f7d94856fecc42cc9e0f73d,FACE RECOGNITION UNDER VARYING BLUR IN AN UNCONSTRAINED ENVIRONMENT,India,India,India,20.59368400,78.96288000,edu, +e4bf70e818e507b54f7d94856fecc42cc9e0f73d,FACE RECOGNITION UNDER VARYING BLUR IN AN UNCONSTRAINED ENVIRONMENT,India,India,India,20.59368400,78.96288000,edu, e4cb27d2a3e1153cb517d97d61de48ff0483c988,Viktoria Plemakova Vehicle Detection Based on Convolutional Neural Networks,University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu, e4df83b7424842ff5864c10fa55d38eae1c45fac,Locally Linear Discriminate Embedding for Face Recognition,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, +e459158c2217904d5fe9a409896bd49622f17ebe,Face Video Retrieval via Deep Learning of Binary Hash Representations,China,China,China,35.86166000,104.19539700,edu, e459158c2217904d5fe9a409896bd49622f17ebe,Face Video Retrieval via Deep Learning of Binary Hash Representations,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, e459158c2217904d5fe9a409896bd49622f17ebe,Face Video Retrieval via Deep Learning of Binary Hash Representations,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +e4450b61f1ccbe5bbec1e777baad5dd69fd6edbe,Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation,India,India,India,20.59368400,78.96288000,edu, e4450b61f1ccbe5bbec1e777baad5dd69fd6edbe,Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +e4450b61f1ccbe5bbec1e777baad5dd69fd6edbe,Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation,India,India,India,20.59368400,78.96288000,edu, ee89b903af1d8f26a8894a3773915c74f038883e,Half-CNN: A General Framework for Whole-Image Regression,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, ee89b903af1d8f26a8894a3773915c74f038883e,Half-CNN: A General Framework for Whole-Image Regression,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, ee0f87a93fee7a7dc8d13760464dbd6ce1526626,Constrained semi-supervised learning using attributes and comparative attributes,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -5234,10 +6376,13 @@ eea248baa16162da661fbb9255e2cfcd5b9f0c05,Bachelor Project Image Captioning with ee3494604c97b2b84ea79d8c18d64ded48244dd6,3D Face Recognition in Biometrics,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu, ee815f60dc4a090fa9fcfba0135f4707af21420d,EAC-Net: A Region-Based Deep Enhancing and Cropping Approach for Facial Action Unit Detection,CUNY City College,CUNY City College,"CUNY City College, 205 East 42nd Street, New York, NY 10017",45.55466080,5.40652550,edu, ee3d19879bec7b0b5b4131360be9951188b7ec60,Point Based Emotion Classification Using SVM,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +eea9994c71831219aacd537f5f4ab8a91110a7e2,Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction,Romania,Romania,Romania,45.94316100,24.96676000,edu, ee098ed493af3abe873ce89354599e1f6bdf65be,Progressively Diffused Networks for Semantic Image Segmentation,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, ee098ed493af3abe873ce89354599e1f6bdf65be,Progressively Diffused Networks for Semantic Image Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, ee098ed493af3abe873ce89354599e1f6bdf65be,Progressively Diffused Networks for Semantic Image Segmentation,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" ee661eb1d6ebfdef0d0b0784529221c951cd1188,"3 D Human Sensing , Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism",Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, +eea77e2a891e49e65d4bed54c1b24411f33203a3,Exploring Guide Context in City Scenario Using Color and Gradient Features,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, +eea77e2a891e49e65d4bed54c1b24411f33203a3,Exploring Guide Context in City Scenario Using Color and Gradient Features,China,China,China,35.86166000,104.19539700,edu, ee42895807a375adec78c8221ecfcba01b0cb7ce,Deep TEN: Texture Encoding Network,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, eed7920682789a9afd0de4efd726cd9a706940c8,Computers to Help with Conversations : Affective Framework to Enhance Human Nonverbal Skills,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, eecd9a070ed333077a066bfdcf776c51c2c74406,Deep image representations using caption generators,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, @@ -5245,11 +6390,17 @@ ee6b503ab512a293e3088fdd7a1c893a77902acb,Automatic Name-Face Alignment to Enable ee6b503ab512a293e3088fdd7a1c893a77902acb,Automatic Name-Face Alignment to Enable Cross-Media News Retrieval,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, ee7c4f765e3743b324ee2d74f056a01f7e54320d,Weakly Supervised Salient Object Detection Using Image Labels,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, ee7c4f765e3743b324ee2d74f056a01f7e54320d,Weakly Supervised Salient Object Detection Using Image Labels,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" +eee69704bde40ab20090c19a21487f7ca5bcc674,On the Effect of Perspective Distortions in Face Recognition,Technical University of Munich,"Computer Aided Medical Procedures, Technical University of Munich, Garching, Germany","Boltzmannstraße 3, 85748 Garching bei München, Germany",48.26301100,11.66685700,edu, ee8f04fdc9dc00f5ac24ddd8a894bf1807f44caf,Scene Classification Based on a Deep Random-Scale Stretched Convolutional Neural Network,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +ee335fb785c332b1ac43565b007461002616f1e0,Processing Large Amounts of Images on Hadoop with OpenCV,Russia,Russia,Russia,61.52401000,105.31875600,edu, +ee335fb785c332b1ac43565b007461002616f1e0,Processing Large Amounts of Images on Hadoop with OpenCV,Russia,Russia,Russia,61.52401000,105.31875600,edu, eeb6d084f9906c53ec8da8c34583105ab5ab8284,12 Generation of Facial Expression Map using Supervised and Unsupervised Learning,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu, eeb6d084f9906c53ec8da8c34583105ab5ab8284,12 Generation of Facial Expression Map using Supervised and Unsupervised Learning,Akita University,Akita University,"秋田大学手形キャンパス, 秋田八郎潟線, 手形字扇田, 広面, 秋田市, 秋田県, 東北地方, 010-0864, 日本",39.72781420,140.13322566,edu, +eef05b87f1a62bf658fc622427187eab4fb0f7a5,High Performance Human Face Recognition using Independent High Intensity Gabor Wavelet Responses: A Statistical Approach,India,India,India,20.59368400,78.96288000,edu, eef05b87f1a62bf658fc622427187eab4fb0f7a5,High Performance Human Face Recognition using Independent High Intensity Gabor Wavelet Responses: A Statistical Approach,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, eee2d2ac461f46734c8e674ae14ed87bbc8d45c6,Generalized Rank Pooling for Activity Recognition,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +ee53c9480132fc0d09b1192226cb2c460462fd6d,Channel Pruning for Accelerating Very Deep Neural Networks,China,China,China,35.86166000,104.19539700,edu, +ee8d2256ac99799677a5bd88bb1a12973bd245df,Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ee7093e91466b81d13f4d6933bcee48e4ee63a16,Discovering Person Identity via Large-Scale Observations,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, ee7093e91466b81d13f4d6933bcee48e4ee63a16,Discovering Person Identity via Large-Scale Observations,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, ee597ce2a63912b162d2a152c391d166fa1c4733,Batch-normalized recurrent highway networks,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, @@ -5276,7 +6427,10 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 78e9abfcee29491ffa53e7a988401ea06fbbe719,Deep Structured Learning for Visual Relationship Detection,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 78bcad8018467af3a6350714b70c91bd44f1181f,Considering Race a Problem of Transfer Learning,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 78569509e61269f5d2276b80f4fd41c22617ccc4,Localization Guided Learning for Pedestrian Attribute Recognition,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +78569509e61269f5d2276b80f4fd41c22617ccc4,Localization Guided Learning for Pedestrian Attribute Recognition,China,China,China,35.86166000,104.19539700,edu, 78569509e61269f5d2276b80f4fd41c22617ccc4,Localization Guided Learning for Pedestrian Attribute Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +78569509e61269f5d2276b80f4fd41c22617ccc4,Localization Guided Learning for Pedestrian Attribute Recognition,China,China,China,35.86166000,104.19539700,edu, +78569509e61269f5d2276b80f4fd41c22617ccc4,Localization Guided Learning for Pedestrian Attribute Recognition,China,China,China,35.86166000,104.19539700,edu, 7862f646d640cbf9f88e5ba94a7d642e2a552ec9,Being John Malkovich,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 78a7b042dfdc8c062a1ae9b4b93195b434e91aca,Face Recognition Using a Time-of-Flight Camera,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 780557daaa39a445b24c41f637d5fc9b216a0621,"Large Video Event Ontology Browsing, Search and Tagging (EventNet Demo)",Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, @@ -5285,6 +6439,9 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 78bdba66b1a5fb19824be37c4f5c2d20e0e3b34f,2 . Dilated Residual Networks,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 786f2e480cb81c9df8d213ac156a5333946a2b8f,Violations of Personal Space by Individuals with Autism Spectrum Disorder,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 786f2e480cb81c9df8d213ac156a5333946a2b8f,Violations of Personal Space by Individuals with Autism Spectrum Disorder,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +784cc0363d44bf09f3f636abd1a532ddac95ca13,Group-level emotion recognition using transfer learning from face identification,Russia,Russia,Russia,61.52401000,105.31875600,edu, +784cc0363d44bf09f3f636abd1a532ddac95ca13,Group-level emotion recognition using transfer learning from face identification,Russia,Russia,Russia,61.52401000,105.31875600,edu, +784cc0363d44bf09f3f636abd1a532ddac95ca13,Group-level emotion recognition using transfer learning from face identification,Russia,Russia,Russia,61.52401000,105.31875600,edu, 78990bd69e12f7d123b6a0ce6b1674ea801f2319,Learning Joint Representations of Videos and Sentences with Web Image Search,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 78f62042bfb3bb49ba10e142d118a9bb058b2a19,WebSeg: Learning Semantic Segmentation from Web Searches,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 7888a3dc1b9a7516f940f4a3f4316584e4f41b35,Effects of target typicality on categorical search.,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, @@ -5302,6 +6459,7 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 784731961819abc5a5a199be1573abd828bd9af1,Recognizing Emily and Latisha: Inconsistent Effects of Name Stereotypicality on the Other-Race Effect,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, 78c1ad33772237bf138084220d1ffab800e1200d,Decorrelated Batch Normalization,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 78c1ad33772237bf138084220d1ffab800e1200d,Decorrelated Batch Normalization,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +78e00cfe5f0bd4bbb3d4111fa11de9e6dda17afc,Multimodal Task-Driven Dictionary Learning for Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 78436256ff8f2e448b28e854ebec5e8d8306cf21,Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 78436256ff8f2e448b28e854ebec5e8d8306cf21,Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 78436256ff8f2e448b28e854ebec5e8d8306cf21,Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, @@ -5316,19 +6474,28 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 78bdaca41440f03b4d18a4caf9f0dace9afa08b0,The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 78bdaca41440f03b4d18a4caf9f0dace9afa08b0,The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 78102141a1b78101515f93385e7b71a4aa1955c5,An adaptation framework for head-pose classification in dynamic multi-view scenarios,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +78102141a1b78101515f93385e7b71a4aa1955c5,An adaptation framework for head-pose classification in dynamic multi-view scenarios,Romania,Romania,Romania,45.94316100,24.96676000,edu, 78102141a1b78101515f93385e7b71a4aa1955c5,An adaptation framework for head-pose classification in dynamic multi-view scenarios,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu, 78174c2be084e67f48f3e8ea5cb6c9968615a42c,Periocular Recognition Using CNN Features Off-the-Shelf,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, 787fe79e880ecb78ec6df797add20a8f93878b68,Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, +787303db8e707feee2fa2b93dfc46e3d3cc244cd,Defocus Blur Parameter Estimation Technique,India,India,India,20.59368400,78.96288000,edu, 784ee59ea98a0878f1ba709f4385bffcdb4911d7,The iterative nature of person construal: Evidence from event-related potentials,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, 784ee59ea98a0878f1ba709f4385bffcdb4911d7,The iterative nature of person construal: Evidence from event-related potentials,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, 7869d8b9899226132d410ad6d409746bafe58f77,Biases Associated with Vulnerability to Bipolar Disorder,University of North Texas,University of North Texas,"University of North Texas, West Highland Street, Denton, Denton County, Texas, 76201, USA",33.20988790,-97.15147488,edu, +78a85785150b2b80eca826ba9afc05005184a7c3,Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network,China,China,China,35.86166000,104.19539700,edu, 78598e7005f7c96d64cc47ff47e6f13ae52245b8,Hand2Face: Automatic synthesis and recognition of hand over face occlusions,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 78598e7005f7c96d64cc47ff47e6f13ae52245b8,Hand2Face: Automatic synthesis and recognition of hand over face occlusions,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 78598e7005f7c96d64cc47ff47e6f13ae52245b8,Hand2Face: Automatic synthesis and recognition of hand over face occlusions,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 78598e7005f7c96d64cc47ff47e6f13ae52245b8,Hand2Face: Automatic synthesis and recognition of hand over face occlusions,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 783bb44092f45573a9fbf47d023786105dde1d83,Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 782bec46053aa93ebbbf5d1d27497966b2407848,Scene-LSTM: A Model for Human Trajectory Prediction,"University of Colorado, Denver",University of Colorado Denver,"University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA",39.74287785,-105.00596398,edu, +7809a42a833b49725f3a4bb8f70f63f4d2cee11c,Detection of Person in A Group of People Using 3-D Based Model,India,India,India,20.59368400,78.96288000,edu, +7809a42a833b49725f3a4bb8f70f63f4d2cee11c,Detection of Person in A Group of People Using 3-D Based Model,India,India,India,20.59368400,78.96288000,edu, +78342d17c6c6fff00cf1b20602f3213a3f61ba56,Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition,China,China,China,35.86166000,104.19539700,edu, +78342d17c6c6fff00cf1b20602f3213a3f61ba56,Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition,China,China,China,35.86166000,104.19539700,edu, 78bfa428adb237c5ba85eda35e6a304b679c5c8c,Deep Micro-Dictionary Learning and Coding Network,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +78bfa428adb237c5ba85eda35e6a304b679c5c8c,Deep Micro-Dictionary Learning and Coding Network,China,China,China,35.86166000,104.19539700,edu, +78bfa428adb237c5ba85eda35e6a304b679c5c8c,Deep Micro-Dictionary Learning and Coding Network,China,China,China,35.86166000,104.19539700,edu, 78bfa428adb237c5ba85eda35e6a304b679c5c8c,Deep Micro-Dictionary Learning and Coding Network,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 78d645d5b426247e9c8f359694080186681f57db,Gender Classification by LUT Based Boosting of Overlapping Block Patterns,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, 78d645d5b426247e9c8f359694080186681f57db,Gender Classification by LUT Based Boosting of Overlapping Block Patterns,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, @@ -5336,12 +6503,13 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 49e2c1bae80e6b75233348102dc44671ee52b548,Age and gender recognition using informative features of various types,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,China,China,China,35.86166000,104.19539700,edu, 49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +49a038852b9e51af658405231045559d728e0970,DeepCache: Principled Cache for Mobile Deep Vision,China,China,China,35.86166000,104.19539700,edu, 49a2f3262958465c8cfd5a59bc0f9f4effd1936b,Global Semantic Consistency for Zero-Shot Learning,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 49a2f3262958465c8cfd5a59bc0f9f4effd1936b,Global Semantic Consistency for Zero-Shot Learning,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, 4934d44aa89b6d871eb6709dd1d1eebf16f3aaf1,A Deep Sum-Product Architecture for Robust Facial Attributes Analysis,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -5353,15 +6521,18 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 4990824c5ff6c993e0697e272026438c4a05c3d5,INNOVATIVE SPARSE REPRESENTATION ALGORITHMS FOR ROBUST FACE RECOGNITION,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, 495fa8f7d9d0e4d472c49de34a9d17343668f4a4,Automatic Event Detection for Signal-based Surveillance,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 4931562044a691fe41b638550b54a0a689674e83,Incorporating On-demand Stereo for Real Time Recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, +4991dcef497ddd7ea115663985a9e0635494a95d,Detecting Group Activities With Multi-Camera Context,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4953da81a1a93ab3a30152d4403c5e8fa79edc09,Fast obstacle detection using targeted optical flow,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu, 4953da81a1a93ab3a30152d4403c5e8fa79edc09,Fast obstacle detection using targeted optical flow,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu, 4996e64c24cef33d0f7e5a2b1c3baf00e51493e6,Deep Relative Distance Learning: Tell the Difference between Similar Vehicles,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -4923c6bc3ab501651763f6814a8384745f3d9a4d,Visual attribute transfer through deep image analogy,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +4996e64c24cef33d0f7e5a2b1c3baf00e51493e6,Deep Relative Distance Learning: Tell the Difference between Similar Vehicles,China,China,China,35.86166000,104.19539700,edu, +4923c6bc3ab501651763f6814a8384745f3d9a4d,Visual attribute transfer through deep image analogy,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 49ae4afe91239a8259dc0c390179d47bc395beda,Saliency Based Opportunistic Search for Object Part Extraction and Labeling,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 493f7f6db3160b3e011a96db8add618bcda39616,Beyond Trade-Off: Accelerate FCN-Based Face Detector with Higher Accuracy,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 4950ae0e837657b611113e219bf848f0c657dcf9,Efficient Unsupervised Learning for Localization and Detection in Object Categories,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 4950ae0e837657b611113e219bf848f0c657dcf9,Efficient Unsupervised Learning for Localization and Detection in Object Categories,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 49f70f707c2e030fe16059635df85c7625b5dc7e,Face recognition under illumination variations based on eight local directional patterns,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu, +49b349021c958772926851ee7b704c8839977e28,Face Recognition by Using Distance Classifier Based On PCA and LDA,India,India,India,20.59368400,78.96288000,edu, 4948c1791412cf13b770d922399c625527b51a6f,FACE RECOGNITION TECHNIQUES AND APPROACHES : A SURVEY,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, 49f01ad8e60882d0f3c450345251b6c6b499c3a2,Cryptic Emotions and the Emergence of a Metatheory of Mind in Popular Filmmaking,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 497d46649af7dab664cdb9d47242df6dc06b1a48,Integral Channel Features,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, @@ -5388,18 +6559,26 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 49dcfbcb88139e4432cc0d3cfdd91af30f4d53dc,Multi-camera multi-object tracking by robust hough-based homography projections,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 499f2b005e960a145619305814a4e9aa6a1bba6a,Robust human face recognition based on locality preserving sparse over complete block approximation,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, 49ac9738b551d0f8d9c64d5b6e8b08c69e3b0421,3D Pictorial Structures for Multiple View Articulated Pose Estimation,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, +49b3f6d8712c01f315686b6b8541eda8c5ee428a,Virtual friend or threat? The effects of facial expression and gaze interaction on psychophysiological responses and emotional experience.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 49e975a4c60d99bcc42c921d73f8d89ec7130916,Human and computer recognition of facial expressions of emotion,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 49ad27dd5bd9ca682e86bcaf3abf1cda2cd9de54,Neural Baby Talk,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 4960ab1cef23e5ccd60173725ea280f462164a0e,Video Object Segmentation by Learning Location-Sensitive Embeddings,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 4960ab1cef23e5ccd60173725ea280f462164a0e,Video Object Segmentation by Learning Location-Sensitive Embeddings,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, +4960ab1cef23e5ccd60173725ea280f462164a0e,Video Object Segmentation by Learning Location-Sensitive Embeddings,China,China,China,35.86166000,104.19539700,edu, 4910c4d7eea372034339f21141550f6d7cb28665,Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 4910c4d7eea372034339f21141550f6d7cb28665,Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +4910c4d7eea372034339f21141550f6d7cb28665,Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss,China,China,China,35.86166000,104.19539700,edu, +4980511ea7ac286b7fff0456216425287bc9a083,Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph,China,China,China,35.86166000,104.19539700,edu, +4980511ea7ac286b7fff0456216425287bc9a083,Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph,China,China,China,35.86166000,104.19539700,edu, +49f22f29e57f5867b47348555136844ffa6c6603,Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 491efbf5590467157f35c8c75c49d44659429f62,Rotationally Invariant 3D Shape Contexts using Asymmetry Patterns,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 4946ba10a4d5a7d0a38372f23e6622bd347ae273,Describing Common Human Visual Actions in Images,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 49ecf784afddf7d5cf31c90340eef9380c261f04,FACSCaps : Pose-Independent Facial Action Coding with Capsules,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 49ecf784afddf7d5cf31c90340eef9380c261f04,FACSCaps : Pose-Independent Facial Action Coding with Capsules,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 23aef683f60cb8af239b0906c45d11dac352fb4e,Incorporating Context Information into Deep Neural Network Acoustic Models,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +23a8dc98eb38039f032d77a209751b25d3106c4b,Memory Efficient Max Flow for Multi-label Submodular MRFs,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 232d99697a18c3065f2ba7c5f2d93d87731690f5,Robustifying eye center localization by head pose cues,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +236942bb64f1711b4763424b2f795fb518c9d8d4,Optimizing LBP Structure For Visual Recognition Using Binary Quadratic Programming,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 235d5620d05bb7710f5c4fa6fceead0eb670dec5,Who's Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 23f6a42731ef46f06f0a11308197745edcb58f6c,Generic Object Recognition with Strangeness and Boosting Ph,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, 23dd8d17ce09c22d367e4d62c1ccf507bcbc64da,Deep Density Clustering of Unconstrained Faces ( Supplementary Material ),University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, @@ -5407,7 +6586,7 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 23a432a388552ab52437d428e5af2b6c195be635,N EED TO BE D EEP AND C ONVOLUTIONAL ?,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 23a432a388552ab52437d428e5af2b6c195be635,N EED TO BE D EEP AND C ONVOLUTIONAL ?,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, 23a432a388552ab52437d428e5af2b6c195be635,N EED TO BE D EEP AND C ONVOLUTIONAL ?,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, -23a432a388552ab52437d428e5af2b6c195be635,N EED TO BE D EEP AND C ONVOLUTIONAL ?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +23a432a388552ab52437d428e5af2b6c195be635,N EED TO BE D EEP AND C ONVOLUTIONAL ?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 23b48110cead14510ebb22dc388324466fd56c95,Robust Principal Component Analysis with Missing Data,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 23b48110cead14510ebb22dc388324466fd56c95,Robust Principal Component Analysis with Missing Data,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 234e3f821c31d0b5b7c59c3c013ad258fa6f5912,Attention Directs Emotion : Directed Attention Drives Emotional Intensity and Distinctiveness of Facial Perception,"University of Colorado, Boulder","University of Colorado, Boulder","Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA",40.01407945,-105.26695944,edu, @@ -5418,19 +6597,25 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 231e545fdb1a516e29604fbd740e207b6f25c7dc,Perception of dynamic changes in facial affect and identity in autism.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 231e545fdb1a516e29604fbd740e207b6f25c7dc,Perception of dynamic changes in facial affect and identity in autism.,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 231e545fdb1a516e29604fbd740e207b6f25c7dc,Perception of dynamic changes in facial affect and identity in autism.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +236a4f38f79a4dcc2183e99b568f472cf45d27f4,Randomized Clustering Forests for Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2359c3f763e96e0ee62b1119c897a32ce9715a77,Neural Computing on a Raspberry Pi : Applications to Zebrafish Behavior Monitoring,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +237734e3fd3abab005b0b97d61416ee16105f902,Consensus Maximization for Semantic Region Correspondences,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 23339e409363a89cb5fe64e18e78a36286724de0,Semi-interactive tracing of persons in real-life surveillance data,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 23339e409363a89cb5fe64e18e78a36286724de0,Semi-interactive tracing of persons in real-life surveillance data,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 23bdd2d82068419bf4923e6a0198fc0fa4468807,Bird Species Categorization Using Pose Normalized Deep Convolutional Nets,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 23b80dc704e25cf52b5a14935002fc083ce9c317,Learning Generative Models via Discriminative Approaches,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +239c06cd437832faa55a8e7292c50e45229a3d7c,Generating analytic insights on human behavior using image processing,India,India,India,20.59368400,78.96288000,edu, 233913367b5006277b04a8f7651f51425f13697e,Efficient Inference with Multiple Heterogeneous Part Detectors for Human Pose Estimation,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 231b769f2e13724754fa09e7e5ab7d4b843075a0,IOD-CNN: Integrating object detection networks for event recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +23b466abb866e3f160f4573a69666f861aef59cc,"EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction",India,India,India,20.59368400,78.96288000,edu, 23b466abb866e3f160f4573a69666f861aef59cc,"EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction",University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, +23b466abb866e3f160f4573a69666f861aef59cc,"EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction",India,India,India,20.59368400,78.96288000,edu, 23b466abb866e3f160f4573a69666f861aef59cc,"EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction",Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 23c7465c16ea9343f74a400f92b970e84878b65a,Automatic classification of Chinese female facial beauty using Support Vector Machine,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 23000287004800912e3469772f3a2a48704dd303,Power SVM: Generalization with exemplar classification uncertainty,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 23000287004800912e3469772f3a2a48704dd303,Power SVM: Generalization with exemplar classification uncertainty,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 231a6d2ee1cc76f7e0c5912a530912f766e0b459,Shape Primitive Histogram: A Novel Low-Level Face Representation for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +23fa51635c646aa621bb18ff76f31d5e48ac969b,MFSC: A new shape descriptor with robustness to deformations,China,China,China,35.86166000,104.19539700,edu, 23a59bfb96c4f543673e05b3cf6dc01b4173745b,ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 23a59bfb96c4f543673e05b3cf6dc01b4173745b,ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 23fc6c6e1cd52a77215a285a462840cbb96aec39,"Cortical patterns of category-selective activation for faces, places and objects in adults with autism.",New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, @@ -5449,12 +6634,19 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 23afec5c3edf6c65fc28d360a82820d34bbdc8a8,Confidence Preserving Machine for Facial Action Unit Detection,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 23e19cc9d2318b07eeaf8a9d34245131eb1a58be,Hierarchical Convolutional Deep Learning in Computer Vision by,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 2303d07d839e8b20f33d6e2ec78d1353cac256cf,Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, -232ff2dab49cb5a1dae1012fd7ba53382909ec18,Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +2303d07d839e8b20f33d6e2ec78d1353cac256cf,Squeeze-and-Excitation on Spatial and Temporal Deep Feature Space for Action Recognition,China,China,China,35.86166000,104.19539700,edu, +238fc68b2e0ef9f5ec043d081451902573992a03,Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +232ff2dab49cb5a1dae1012fd7ba53382909ec18,Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, +23b37c2f803a2d4b701e2f39c5f623b2f3e14d8e,Modified Approaches on Face Recognition By using Multisensory Image,India,India,India,20.59368400,78.96288000,edu, +23b37c2f803a2d4b701e2f39c5f623b2f3e14d8e,Modified Approaches on Face Recognition By using Multisensory Image,India,India,India,20.59368400,78.96288000,edu, 23834ef411abf22da58d5bd1d9c1cb2896713f62,Learning Action Primitives for Multi-level Video Event Understanding,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 23834ef411abf22da58d5bd1d9c1cb2896713f62,Learning Action Primitives for Multi-level Video Event Understanding,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 23ce6f404c504592767b8bec7d844d87b462de71,A Deep Face Identification Network Enhanced by Facial Attributes Prediction,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, 23b8a55785318ce90957a392607e24f620c4fccc,Bayesian Optimization with Inequality Constraints,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +23c9fe37fa0474967be4cc6c7a310dcc87b86b72,Spatial Feature Interdependence Matrix (SFIM): A Robust Descriptor for Face Recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, +2340a8fa6d90741c53e659cd1e7ca86ff900aa55,Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2328b0b5d4e9d4b78b1b9002407a533c21ff66f1,Evaluation of dimensionality reduction methods for image auto-annotation,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +2328b0b5d4e9d4b78b1b9002407a533c21ff66f1,Evaluation of dimensionality reduction methods for image auto-annotation,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, 23e6e8ab8f62d8f67525313c823e3cb4424ac578,Exploiting Convolution Filter Patterns for Transfer Learning,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 23e2b9d1ac20e114f48850ab32b3d9136bec6826,DeepSkeleton: Skeleton Map for 3D Human Pose Regression,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 23e2b9d1ac20e114f48850ab32b3d9136bec6826,DeepSkeleton: Skeleton Map for 3D Human Pose Regression,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, @@ -5474,6 +6666,7 @@ eed93d2e16b55142b3260d268c9e72099c53d5bc,ICFVR 2017: 3rd international competiti 23a450a075d752f1ec2b1e5e225de13d3bc37636,Subspace Learning in Krein Spaces: Complete Kernel Fisher Discriminant Analysis with Indefinite Kernels,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 2311d2488707655b79cf2b115e3c720bd4791918,Multi-Channel Pyramid Person Matching Network for Person Re-Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 2311d2488707655b79cf2b115e3c720bd4791918,Multi-Channel Pyramid Person Matching Network for Person Re-Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +2311d2488707655b79cf2b115e3c720bd4791918,Multi-Channel Pyramid Person Matching Network for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, f1368b0001e454381eafc35324740c928cb2ad1e,Automated audio captioning with recurrent neural networks,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, f187b0ed2224b2861442a73ad2966c1789afc09a,Zero-Shot Learning via Revealing Data Distribution,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, f187b0ed2224b2861442a73ad2966c1789afc09a,Zero-Shot Learning via Revealing Data Distribution,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, @@ -5490,11 +6683,22 @@ f147057dfe4bbb4f9499de432cb2393547f2f339,CNN-based Facial Affect Analysis on Mob f10ddad356ac9376e8c982f96cead7f6bdee3251,Riemannian Set-level Common-Near-Neighbor Analysis for Multiple-shot Person Re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, f10ddad356ac9376e8c982f96cead7f6bdee3251,Riemannian Set-level Common-Near-Neighbor Analysis for Multiple-shot Person Re-identification,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, f1b2212650d59d8c4ebcf25eec89987016c83678,BING++: A Fast High Quality Object Proposal Generator at 100fps,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, +f1b2212650d59d8c4ebcf25eec89987016c83678,BING++: A Fast High Quality Object Proposal Generator at 100fps,China,China,China,35.86166000,104.19539700,edu, +f113aed343bcac1021dc3e57ba6cc0647a8f5ce1,A Survey on Mining of Weakly Labeled Web Facial Images and Annotation,India,India,India,20.59368400,78.96288000,edu, +f113aed343bcac1021dc3e57ba6cc0647a8f5ce1,A Survey on Mining of Weakly Labeled Web Facial Images and Annotation,India,India,India,20.59368400,78.96288000,edu, f1ac9370bdf4c408fdc242719cceb3eae19b9a16,Face recognition after plastic surgery: a comprehensive study,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, f1ac9370bdf4c408fdc242719cceb3eae19b9a16,Face recognition after plastic surgery: a comprehensive study,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, f1a772608cae0d3189ad1293d5b7631435f02e44,Saliency-based Bayesian modeling of dynamic viewing of static scenes,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, +f1c76d97caa6f882764c1382c622a2dfb6aade43,CoreRank: Redeeming “Sick Silicon” by Dynamically Quantifying Core-Level Healthy Condition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +f1ec3752535e0aa6aafe3930974a22250e652ca1,Gender and emotion recognition with implicit user signals,India,India,India,20.59368400,78.96288000,edu, +f1ec3752535e0aa6aafe3930974a22250e652ca1,Gender and emotion recognition with implicit user signals,India,India,India,20.59368400,78.96288000,edu, +f1471a408369689e2fc956b417dce24e47557a38,A Novel Face Template Protection Algorithm Based on the Fusion of Chaos Theory and RSA Encryption,China,China,China,35.86166000,104.19539700,edu, +f1471a408369689e2fc956b417dce24e47557a38,A Novel Face Template Protection Algorithm Based on the Fusion of Chaos Theory and RSA Encryption,China,China,China,35.86166000,104.19539700,edu, +f1471a408369689e2fc956b417dce24e47557a38,A Novel Face Template Protection Algorithm Based on the Fusion of Chaos Theory and RSA Encryption,China,China,China,35.86166000,104.19539700,edu, f12813073a7f894f82fe2b166893424edba7dc79,Unified Principal Component Analysis with generalized Covariance Matrix for face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +f12813073a7f894f82fe2b166893424edba7dc79,Unified Principal Component Analysis with generalized Covariance Matrix for face recognition,China,China,China,35.86166000,104.19539700,edu, f12813073a7f894f82fe2b166893424edba7dc79,Unified Principal Component Analysis with generalized Covariance Matrix for face recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +f12813073a7f894f82fe2b166893424edba7dc79,Unified Principal Component Analysis with generalized Covariance Matrix for face recognition,China,China,China,35.86166000,104.19539700,edu, f121154f0a7625fbb1613bd4cc2e705f9de8fd0c,Boosted Regression Active Shape Models,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, f1b4583c576d6d8c661b4b2c82bdebf3ba3d7e53,Faster than Real-Time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, f179f7888934b11dc5a2d8ff9205d1ca8b8a1599,Illuminant direction estimation for a single image based on local region complexity analysis and average gray value.,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, @@ -5512,7 +6716,13 @@ f153cbec29d86a58b5f15231fd14e7037a210682,Lost in the categorical shuffle: eviden f153cbec29d86a58b5f15231fd14e7037a210682,Lost in the categorical shuffle: evidence for the social non-prototypicality of black women.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, f106ff6b2dd497650e7e2096b24a23d620a2306b,Toward A Deep Understanding of What Makes a Scientific Visualization Memorable,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation,University of Tabriz,University of Tabriz,"دانشگاه تبریز, شهید ایرج خلوتی, کوی انقلاب, تبریز, بخش مرکزی, شهرستان تبریز, استان آذربایجان شرقی, 5166616471, ‏ایران‎",38.06125530,46.32984840,edu, +f19527b2ceabf50831e78ac04161107c936efb2b,Discriminative Sparse Neighbor Approximation for Imbalanced Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,India,India,India,20.59368400,78.96288000,edu, +56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu, +56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,India,India,India,20.59368400,78.96288000,edu, +56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,India,India,India,20.59368400,78.96288000,edu, 569dbb5c8a84d3b378cb2e38bb86ad7d826c8d10,Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +56f5a94047966eac4b2f97ded4b50513f9a09951,Is the Kidney Donor Risk Index a Useful Tool in Non-US Patients?,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 56d162799d5e004723341492f776399693d76433,Learning Hypergraph-regularized Attribute Predictors,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, 56d162799d5e004723341492f776399693d76433,Learning Hypergraph-regularized Attribute Predictors,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 567078a51ea63b70396dca5dabb50a10a736d991,Conditional Generative Adversarial Network for Structured Domain Adaptation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, @@ -5532,7 +6742,7 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation 569008018f0b9c4abb8b5c662a6710a1fc38b5a6,Face Similarity Space as Perceived by Humans and Artificial Systems,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 569008018f0b9c4abb8b5c662a6710a1fc38b5a6,Face Similarity Space as Perceived by Humans and Artificial Systems,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 56359d2b4508cc267d185c1d6d310a1c4c2cc8c2,Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, -56359d2b4508cc267d185c1d6d310a1c4c2cc8c2,Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition,Chinese Academy of Science,"Key Lab of Intelligent Information Processing, Institute of Computer Technology, Chinese Academy of Science (CAS), Beijing, 100190, China","Beijing, China",39.90419990,116.40739630,edu, +56359d2b4508cc267d185c1d6d310a1c4c2cc8c2,Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 56359d2b4508cc267d185c1d6d310a1c4c2cc8c2,Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 562989741c0627b2f966d3abd5f87047503d0fb8,From Same Photo: Cheating on Visual Kinship Challenges,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 562989741c0627b2f966d3abd5f87047503d0fb8,From Same Photo: Cheating on Visual Kinship Challenges,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -5543,6 +6753,7 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation 56c2fb2438f32529aec604e6fc3b06a595ddbfcc,Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images,Central Washington University,Central Washington University,"Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA",47.00646895,-120.53673040,edu, 56c2fb2438f32529aec604e6fc3b06a595ddbfcc,Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images,Central Washington University,Central Washington University,"Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA",47.00646895,-120.53673040,edu, 56c2fb2438f32529aec604e6fc3b06a595ddbfcc,Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images,Central Washington University,Central Washington University,"Central Washington University, Dean Nicholson Boulevard, Ellensburg, Kittitas County, Washington, 98926, USA",47.00646895,-120.53673040,edu, +56c2fb2438f32529aec604e6fc3b06a595ddbfcc,Comparison of Recent Machine Learning Techniques for Gender Recognition from Facial Images,Romania,Romania,Romania,45.94316100,24.96676000,edu, 56d831143008ec10f8122e5086f5a55aec770ea1,A DIKW Paradigm to Cognitive Engineering,University of Cape Town,University of Cape Town,"University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa",-33.95828745,18.45997349,edu, 56e25056153a15eae2a6b10c109f812d2b753cee,Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 56e25056153a15eae2a6b10c109f812d2b753cee,Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, @@ -5566,21 +6777,27 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation 56c273538a2dbb4cf43c39fa4725592e97ec1681,Eye Tracking to Enhance Facial Recognition Algorithms,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 56c273538a2dbb4cf43c39fa4725592e97ec1681,Eye Tracking to Enhance Facial Recognition Algorithms,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 56c273538a2dbb4cf43c39fa4725592e97ec1681,Eye Tracking to Enhance Facial Recognition Algorithms,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, +56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac,Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person,China,China,China,35.86166000,104.19539700,edu, +56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac,Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person,China,China,China,35.86166000,104.19539700,edu, 561ae67de137e75e9642ab3512d3749b34484310,DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 561ae67de137e75e9642ab3512d3749b34484310,DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning.,Rheinische-Friedrich-Wilhelms University,Rheinische-Friedrich-Wilhelms University,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 56f812661c3248ed28859d3b2b39e033b04ae6ae,Multiple feature fusion by subspace learning,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, 56f812661c3248ed28859d3b2b39e033b04ae6ae,Multiple feature fusion by subspace learning,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 56f812661c3248ed28859d3b2b39e033b04ae6ae,Multiple feature fusion by subspace learning,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, 56f812661c3248ed28859d3b2b39e033b04ae6ae,Multiple feature fusion by subspace learning,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +56a653fea5c2a7e45246613049fb16b1d204fc96,Quaternion Collaborative and Sparse Representation With Application to Color Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 56ae6d94fc6097ec4ca861f0daa87941d1c10b70,Distance Estimation of an Unknown Person from a Portrait,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +568067d7232c753e182dbc1d7075364560ffc363,Scope of physiological and behavioural pain assessment techniques in children – a review,India,India,India,20.59368400,78.96288000,edu, +568067d7232c753e182dbc1d7075364560ffc363,Scope of physiological and behavioural pain assessment techniques in children – a review,India,India,India,20.59368400,78.96288000,edu, 56c700693b63e3da3b985777da6d9256e2e0dc21,Global refinement of random forest,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, -56c700693b63e3da3b985777da6d9256e2e0dc21,Global refinement of random forest,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +56c700693b63e3da3b985777da6d9256e2e0dc21,Global refinement of random forest,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 56fcb57a328caf184c1634d934271b18b86b53e8,Multimodal Named Entity Recognition for Short Social Media Posts,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5684d284310582ae0f69c5b7a4d6b791a13fcf49,Learning to Track at 100 FPS with Deep Regression Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 98b54eb04e531c34a20320e19b55f6721bd0d651,Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, 982f5c625d6ad0dac25d7acbce4dabfb35dd7f23,Facial Expression Recognition by SVM-based Two-stage Classifier on Gabor Features,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu, 98142103c311b67eeca12127aad9229d56b4a9ff,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 98142103c311b67eeca12127aad9229d56b4a9ff,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +98142103c311b67eeca12127aad9229d56b4a9ff,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 9805d810286c494ead550bb3dcd2e5270e7a59d7,From photography to microbiology: Eigenbiome models for skin appearance,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 9805d810286c494ead550bb3dcd2e5270e7a59d7,From photography to microbiology: Eigenbiome models for skin appearance,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 988aa2583c63ada43ca260dd8b5a4a543725a483,Choosing the Right Home Location Definition Method for the Given Dataset,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -5588,11 +6805,13 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation 98bda8768fd4a384695ecc736876a87f51c4ca0e,Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 980266ad6807531fea94252e8f2b771c20e173b3,Continuous Regression for Non-rigid Image Alignment,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 9899eb0ae24aa8c992244afe5f4455e9f96c1f18,"Characteristics of Brains in Autism Spectrum Disorder: Structure, Function and Connectivity across the Lifespan.",Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +98a60b218ff8addaf213e97e2f4b54d39e45f5b9,Benchmarking Real World Object Recognition,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 987a649cb33302c41412419f8eeb77048aa5513e,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 987a649cb33302c41412419f8eeb77048aa5513e,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 989332c5f1b22604d6bb1f78e606cb6b1f694e1a,Recurrent Face Aging,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 989332c5f1b22604d6bb1f78e606cb6b1f694e1a,Recurrent Face Aging,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 989332c5f1b22604d6bb1f78e606cb6b1f694e1a,Recurrent Face Aging,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +989332c5f1b22604d6bb1f78e606cb6b1f694e1a,Recurrent Face Aging,China,China,China,35.86166000,104.19539700,edu, 983f03659e42407b1779e407388ea86fa58043c6,Transferring activities: Updating human behavior analysis,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 98025d3d44e9379736adb1228919272ded9298ae,Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 985cd420c00d2f53965faf63358e8c13d1951fa8,Pixel-Level Hand Detection with Shape-Aware Structured Forests,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, @@ -5603,7 +6822,9 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation 983f695c0ae44632182184f81579872f0353c6bc,V3C - A Research Video Collection,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, 989ca38616b52f23c2720ba5c6df2493dc025d0a,Markerless Feature Extraction for Gait Analysis,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 9841df3cc4dc89379039092816ef19af949257a8,LBP-based Hierarchical Sparse Patch Learning for Face Recognition,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +9841df3cc4dc89379039092816ef19af949257a8,LBP-based Hierarchical Sparse Patch Learning for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 9893865afdb1de55fdd21e5d86bbdb5daa5fa3d5,Illumination Normalization Using Logarithm Transforms for Face Authentication,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +98735e57075ed6e8ef9d98d7ca4895013492e35b,Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation,Pennsylvania State University,Pennsylvania State University,,,,edu, 9865fe20df8fe11717d92b5ea63469f59cf1635a,Wildest Faces: Face Detection and Recognition in Violent Settings,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu, 9865fe20df8fe11717d92b5ea63469f59cf1635a,Wildest Faces: Face Detection and Recognition in Violent Settings,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, 98bb029afe2a1239c3fdab517323066f0957b81b,Person Re-identification by Video Ranking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -5619,6 +6840,7 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation 989c7cdafa9b90ab2ea0a9d8fa60634cc698f174,YoloFlow Real-time Object Tracking in Video CS 229 Course Project,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 985dc9b8b003483f6df363a8ce07dd8c89ced903,"3 D Morphable Face Model , a Unified Approach for Analysis and Synthesis of Images",University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, 98324ad5027c6b163d7a670570ffe2f8df70717c,LSTM Pose Machines,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +9838ba7a31a096503def7b69bf48e5d327f95caa,Emotion-Based Crowd Representation for Abnormality Detection,Hakim Sabzevari University,"Hakim Sabzevari University, Iran",استان خراسان رضوی، سبزوار، شهرک توحید، پردیس دانشگاه حکیم سبزواری، Iran,36.30263190,57.68068460,edu, 9838ba7a31a096503def7b69bf48e5d327f95caa,Emotion-Based Crowd Representation for Abnormality Detection,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 989282f579fdca0ebdc890cf05cac88c29f9eb49,Benchmarking and Error Diagnosis in Multi-instance Pose Estimation,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 98354134962592250a3ddbccad5cfb6733a76c9b,Improved Active Shape Model for Facial Feature Extraction in Color Images,University of Miami,University of Miami,"University of Miami, Theo Dickenson Drive, Coral Gables, Miami-Dade County, Florida, 33124, USA",25.71733390,-80.27866887,edu, @@ -5626,6 +6848,7 @@ f18ba83ccf4f7bd1475495de832127c62fa75bbb,Component-Based Cartoon Face Generation 98d04187f091f402a90a6a9a2108393ca5f91563,ADVIO: An Authentic Dataset for Visual-Inertial Odometry,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, 9825c4dddeb2ed7eaab668b55403aa2c38bc3320,Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 9825c4dddeb2ed7eaab668b55403aa2c38bc3320,Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +9825c4dddeb2ed7eaab668b55403aa2c38bc3320,Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings,China,China,China,35.86166000,104.19539700,edu, 98cfbe37a68406ef194354de7e5ea453c4ea9adf,Generating Synthetic X-ray Images of a Person from the Surface Geometry,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 98cfbe37a68406ef194354de7e5ea453c4ea9adf,Generating Synthetic X-ray Images of a Person from the Surface Geometry,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 985d032bd45c3b1a6434d19526f9209ade72691a,Robust Low-Rank Regularized Regression for Face Recognition with Occlusion,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, @@ -5644,10 +6867,15 @@ febff0f6faa8dde77848845e4b3e6f6c91180d33,Embedding Deep Metric for Person Re-ide febff0f6faa8dde77848845e4b3e6f6c91180d33,Embedding Deep Metric for Person Re-identication A Study Against Large Variations,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, fe8a8c4133698e4b68018d99c6a2bcec870c5464,A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, fe5c43aa19da5cbbf5a42e4697659875f7389b91,Tracking People in Broadcast Sports,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +fefd9778ef0c23b9e59c2a4748dcb98c827168f4,Semantic Pixel Sets Based Local Binary Patterns for Face Recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, +fe7e3cc1f3412bbbf37d277eeb3b17b8b21d71d5,Performance Evaluation of Gabor Wavelet Features for Face Representation and Recognition,India,India,India,20.59368400,78.96288000,edu, +fe7e3cc1f3412bbbf37d277eeb3b17b8b21d71d5,Performance Evaluation of Gabor Wavelet Features for Face Representation and Recognition,India,India,India,20.59368400,78.96288000,edu, fe710adb0e9e647d7ede0583b40d2aeb36c1fc7f,Human Appearance Transfer,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, fe5e1e869510d18d4c771b1fe924fca0a01f7222,Towards Energy-Efficient Mobile Sensing : Architectures and Frameworks for Heterogeneous Sensing and Computing,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +fec2a5a06a3aab5efe923a78d208ec747d5e4894,Generalizing to Unseen Domains via Adversarial Data Augmentation,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, fec2a5a06a3aab5efe923a78d208ec747d5e4894,Generalizing to Unseen Domains via Adversarial Data Augmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, fec2a5a06a3aab5efe923a78d208ec747d5e4894,Generalizing to Unseen Domains via Adversarial Data Augmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +fec2a5a06a3aab5efe923a78d208ec747d5e4894,Generalizing to Unseen Domains via Adversarial Data Augmentation,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, fec2a5a06a3aab5efe923a78d208ec747d5e4894,Generalizing to Unseen Domains via Adversarial Data Augmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, fef3efeffade0e39f2c279653b4785b372be410e,Survey Near infrared face recognition : A literature survey,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, fef3efeffade0e39f2c279653b4785b372be410e,Survey Near infrared face recognition : A literature survey,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, @@ -5699,27 +6927,38 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 34ce6a2b0f4404ef4f2a7d3eb68718454840fb10,Affective Responses by Adults with Autism Are Reduced to Social Images but Elevated to Images Related to Circumscribed Interests,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 346a18025714deaa2a37f4bba9e1a1f79426c8c7,K-tangent spaces on Riemannian manifolds for improved pedestrian detection,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA 346a18025714deaa2a37f4bba9e1a1f79426c8c7,K-tangent spaces on Riemannian manifolds for improved pedestrian detection,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +34b6466e3e69547f6d464ad6b5660b1e629a5c35,Similar and Class Based Image Retrieval Using Hash Code,India,India,India,20.59368400,78.96288000,edu, 34510d3b68b23cc829c5435ac12a5041a8adc50a,RTSeg: Real-Time Semantic Segmentation Comparative Study,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, 34339f1edc9fb0ac90f363ddbaf39f853495a137,"Capture, analysis and synthesis of photorealistic crowds",Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 34b925a111ba29f73f5c0d1b363f357958d563c1,SAPPHIRE: An always-on context-aware computer vision system for portable devices,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, -34b925a111ba29f73f5c0d1b363f357958d563c1,SAPPHIRE: An always-on context-aware computer vision system for portable devices,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +34b925a111ba29f73f5c0d1b363f357958d563c1,SAPPHIRE: An always-on context-aware computer vision system for portable devices,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 34aa3dca30dc5cbf86c92d5035e35d264540a829,Person Re-identification by Attributes,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +341633ccce0f8c055dfc633765d905c269e28f82,Collaborative Representation for Face Recognition based on Bilateral Filtering,China,China,China,35.86166000,104.19539700,edu, +341633ccce0f8c055dfc633765d905c269e28f82,Collaborative Representation for Face Recognition based on Bilateral Filtering,China,China,China,35.86166000,104.19539700,edu, +34b4f264578fc674dd2bf8d478ec1314739a5629,3D Novel Face Sample Modeling for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 34626bed8996e105e562119e1b4aa290114c89bf,Visual to Sound: Generating Natural Sound for Videos in the Wild,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 34108098e1a378bc15a5824812bdf2229b938678,Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 3434ba5677e5c98e82ee17a1f2d0ddef66d0b009,Interactive tracking and action retrieval to support human behavior analysis,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 3445cc781ebdcf65840bd6314bc0c8c634f1ef5e,A Neural Autoregressive Approach to Attention-based Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +3445cc781ebdcf65840bd6314bc0c8c634f1ef5e,A Neural Autoregressive Approach to Attention-based Recognition,China,China,China,35.86166000,104.19539700,edu, 3445cc781ebdcf65840bd6314bc0c8c634f1ef5e,A Neural Autoregressive Approach to Attention-based Recognition,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 3445cc781ebdcf65840bd6314bc0c8c634f1ef5e,A Neural Autoregressive Approach to Attention-based Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +3445cc781ebdcf65840bd6314bc0c8c634f1ef5e,A Neural Autoregressive Approach to Attention-based Recognition,China,China,China,35.86166000,104.19539700,edu, 345cc31c85e19cea9f8b8521be6a37937efd41c2,Deep Manifold Traversal: Changing Labels with Convolutional Features,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +34b124ecdc3471167cea1675a74a0232a881bc69,Infrared face recognition based on LBP co-occurrence matrix,China,China,China,35.86166000,104.19539700,edu, 34994e291f2ddfbb2938599730a5f7a79498dfe1,Single camera pose estimation using Bayesian filtering and Kinect motion priors,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 349668b75c4398c075fc681f563a80ad7cf6b4f2,Real-time face pose estimation from single range images,ETH Zurich,"Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu, 349c50a22c9f5b46f4ed0f03912706b2c9d484d5,Zero-Shot Learning Across Heterogeneous Overlapping Domains,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +3447fc311a3adf60d36283b51c1a1e0d3be7416c,A Generic Framework for Efficient 2-D and 3-D Facial Expression Analogy,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +3447fc311a3adf60d36283b51c1a1e0d3be7416c,A Generic Framework for Efficient 2-D and 3-D Facial Expression Analogy,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 34bb11bad04c13efd575224a5b4e58b9249370f3,Towards Good Practices for Action Video Encoding,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 34bb11bad04c13efd575224a5b4e58b9249370f3,Towards Good Practices for Action Video Encoding,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 34bb11bad04c13efd575224a5b4e58b9249370f3,Towards Good Practices for Action Video Encoding,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +34bb11bad04c13efd575224a5b4e58b9249370f3,Towards Good Practices for Action Video Encoding,China,China,China,35.86166000,104.19539700,edu, 346c9100b2fab35b162d7779002c974da5f069ee,Photo search by face positions and facial attributes on touch devices,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 34c8de02a5064e27760d33b861b7e47161592e65,Video Action Recognition Based on Deeper Convolution Networks with Pair-Wise Frame Motion Concatenation,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 34c8de02a5064e27760d33b861b7e47161592e65,Video Action Recognition Based on Deeper Convolution Networks with Pair-Wise Frame Motion Concatenation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +34c8de02a5064e27760d33b861b7e47161592e65,Video Action Recognition Based on Deeper Convolution Networks with Pair-Wise Frame Motion Concatenation,China,China,China,35.86166000,104.19539700,edu, 34b42bcf84d79e30e26413f1589a9cf4b37076f9,Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 34022637860443c052375c45c4f700afcb438cd0,Automatic Recognition of Emotions and Membership in Group Videos,Queen Mary University,Queen Mary University,"Universitatea Creștină Partium - Clădirea Sulyok, 27, Strada Primăriei, Orașul Nou, Oradea, Bihor, 410209, România",47.05702220,21.92270900,edu, 34022637860443c052375c45c4f700afcb438cd0,Automatic Recognition of Emotions and Membership in Group Videos,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, @@ -5729,16 +6968,22 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 34a256eb89fde78d61c2184787f5c3183dae49cc,Convex Co-embedding,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, 349db48589d9c2177b2067b112b8411513242e95,Object recognition with hierarchical kernel descriptors,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 344a5802999dddd0a6d1c4d511910af2eb922231,DroneFace: An Open Dataset for Drone Research,Feng Chia University,Feng Chia University,"逢甲大學, 100, 文華路, 西平里, 西屯區, 臺中市, 40724, 臺灣",24.18005755,120.64836072,edu, +34032cf0f94cc6645b7fb5df821c72039151c0fa,Feature Level Fusion Based Bimodal Biometric Using Transformation Domine Techniques,India,India,India,20.59368400,78.96288000,edu, 34032cf0f94cc6645b7fb5df821c72039151c0fa,Feature Level Fusion Based Bimodal Biometric Using Transformation Domine Techniques,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 3436b30d5c09a089252cea893fced7b3a5cbc675,The Singularity and the State of the Art in Artificial Intelligence: The technological singularity (Ubiquity symposium),New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, +347ce37f15cea5bb8d0a676562664f80e3609b78,Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3410a1489d04ec6fcfbb3d76d39055117931ccf0,Learning Collections of Part Models for Object Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +349f305fff405c0f38b9df2e1648450eb841fcea,Multi-target Tracking with Motion Context in Tensor Power Iteration,China,China,China,35.86166000,104.19539700,edu, 349f305fff405c0f38b9df2e1648450eb841fcea,Multi-target Tracking with Motion Context in Tensor Power Iteration,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 34ce703b7e79e3072eed7f92239a4c08517b0c55,What impacts skin color in digital photos?,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 34d8287c2c84b30ef056c0a07f13404ca5ec9471,Locating Facial Features with an Extended Active Shape Model,University of Cape Town,University of Cape Town,"University of Cape Town, Engineering Mall, Cape Town Ward 59, Cape Town, City of Cape Town, Western Cape, CAPE TOWN, South Africa",-33.95828745,18.45997349,edu, 342067ae1d5b52b62c2f31b1426bad933ef90e38,Pedestrian Detection with Semantic Regions of Interest,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 342067ae1d5b52b62c2f31b1426bad933ef90e38,Pedestrian Detection with Semantic Regions of Interest,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +342067ae1d5b52b62c2f31b1426bad933ef90e38,Pedestrian Detection with Semantic Regions of Interest,China,China,China,35.86166000,104.19539700,edu, +342067ae1d5b52b62c2f31b1426bad933ef90e38,Pedestrian Detection with Semantic Regions of Interest,China,China,China,35.86166000,104.19539700,edu, 342067ae1d5b52b62c2f31b1426bad933ef90e38,Pedestrian Detection with Semantic Regions of Interest,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 34863ecc50722f0972e23ec117f80afcfe1411a9,An efficient face recognition algorithm based on robust principal component analysis,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +34863ecc50722f0972e23ec117f80afcfe1411a9,An efficient face recognition algorithm based on robust principal component analysis,China,China,China,35.86166000,104.19539700,edu, 348a16b10d140861ece327886b85d96cce95711e,Finding Good Features for Object Recognition,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 34ed02e82e9816e7491b1af9f6f65d7fff87ff84,Active nonrigid ICP algorithm,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 34ed02e82e9816e7491b1af9f6f65d7fff87ff84,Active nonrigid ICP algorithm,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, @@ -5748,12 +6993,19 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 887502ea2d8a335d8e72deb23fec2784df713b8d,Nonlinear Local Metric Learning for Person Re-identification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 887502ea2d8a335d8e72deb23fec2784df713b8d,Nonlinear Local Metric Learning for Person Re-identification,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 88a0ff6b180703a2d90bc86b40520e35a08fe02c,The Normalized Distance Preserving Binary Codes and Distance Table *,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, +88a0ff6b180703a2d90bc86b40520e35a08fe02c,The Normalized Distance Preserving Binary Codes and Distance Table *,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, +881066ec43bcf7476479a4146568414e419da804,From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips,India,India,India,20.59368400,78.96288000,edu, +88502625b546607f4992085a313dab1ceb68e4d7,A New Technique using Cubic Curves and Hamming Distance to Detect Human Emotions,India,India,India,20.59368400,78.96288000,edu, +88502625b546607f4992085a313dab1ceb68e4d7,A New Technique using Cubic Curves and Hamming Distance to Detect Human Emotions,India,India,India,20.59368400,78.96288000,edu, +88f5f9d92c4fa696457a824c3eec204da05ba6a4,XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 8824638e8077f62283d292804006ce94c92764bf,M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 88bb5fe557339cbe7d2b45df23e63b9829ed6d24,Joint Feature Selection with Low-rank Dictionary Learning,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, 88e090ffc1f75eed720b5afb167523eb2e316f7f,Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, 88e30a988d4a496d61eb241d4cafe5cc88688ae6,Using attributes for word spotting and recognition in polytonic greek documents,University of Ioannina,University of Ioannina,"Πανεπιστήμιο Ιωαννίνων, Πανεπιστημίου, Κάτω Νεοχωρόπουλο, Νεοχωρόπουλο, Δήμος Ιωαννιτών, Π.Ε. Ιωαννίνων, Περιφέρεια Ηπείρου, Ήπειρος - Δυτική Μακεδονία, 45110, Ελλάδα",39.61623060,20.83963011,edu, 88ee6d0b8342852a5bd55864dc7a1c8452c10bbf,Support Vector Machines Applied to Face Recognition,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, 88f8519f442826f9b7b2649c1cfcbc5c82160428,Gender Classification Based on Support Vector Machine with Automatic Confidence,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +88f8519f442826f9b7b2649c1cfcbc5c82160428,Gender Classification Based on Support Vector Machine with Automatic Confidence,China,China,China,35.86166000,104.19539700,edu, +889bc64c7da8e2a85ae6af320ae10e05c4cd6ce7,Using Support Vector Machines to Enhance the Performance of Bayesian Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8880af06d8497e9deda01e0a0eabacf9e1cf0490,Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 8877e0b2dc3d2e8538c0cfee86b4e8657499a7c4,Automatic facial expression recognition for affective computing based on bag of distances,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu, 8877e0b2dc3d2e8538c0cfee86b4e8657499a7c4,Automatic facial expression recognition for affective computing based on bag of distances,National Taichung University of Science and Technology,National Taichung University of science and Technology,"臺中科大, 129, 三民路三段, 錦平里, 賴厝廍, 北區, 臺中市, 40401, 臺灣",24.15031065,120.68325501,edu, @@ -5772,6 +7024,9 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 88bbbdb657cf23d5d406899168bb028b4999aa70,Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 88bbbdb657cf23d5d406899168bb028b4999aa70,Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 88bbbdb657cf23d5d406899168bb028b4999aa70,Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +88909ec19d2c6750f836e8b9c15ee3e1236b37e7,Local Learning with Deep and Handcrafted Features for Facial Expression Recognition,Romania,Romania,Romania,45.94316100,24.96676000,edu, +88909ec19d2c6750f836e8b9c15ee3e1236b37e7,Local Learning with Deep and Handcrafted Features for Facial Expression Recognition,Romania,Romania,Romania,45.94316100,24.96676000,edu, +88909ec19d2c6750f836e8b9c15ee3e1236b37e7,Local Learning with Deep and Handcrafted Features for Facial Expression Recognition,Romania,Romania,Romania,45.94316100,24.96676000,edu, 887745c282edf9af40d38425d5fdc9b3fe139c08,FAME: Face Association through Model Evolution,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, 887745c282edf9af40d38425d5fdc9b3fe139c08,FAME: Face Association through Model Evolution,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, 8820d1d3fa73cde623662d92ecf2e3faf1e3f328,Continuous Video to Simple Signals for Swimming Stroke Detection with Convolutional Neural Networks,La Trobe University,La Trobe University,"La Trobe University, Keck Street, Flora Hill, Bendigo, City of Greater Bendigo, Loddon Mallee, Victoria, 3550, Australia",-36.77847540,144.29804700,edu, @@ -5779,37 +7034,55 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 886fc74b943011ce5ce192ff98d6ea9dcac7ef11,Atypical scanpaths in schizophrenia: evidence of a trait- or state-dependent phenomenon?,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu, 886fc74b943011ce5ce192ff98d6ea9dcac7ef11,Atypical scanpaths in schizophrenia: evidence of a trait- or state-dependent phenomenon?,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu, 886fc74b943011ce5ce192ff98d6ea9dcac7ef11,Atypical scanpaths in schizophrenia: evidence of a trait- or state-dependent phenomenon?,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu, +88a37a05024ef3390e2f1b67fb3637d1c8bbddb3,Home Theft Detection and Recognition Using ROI and PCA Technique,India,India,India,20.59368400,78.96288000,edu, +88a37a05024ef3390e2f1b67fb3637d1c8bbddb3,Home Theft Detection and Recognition Using ROI and PCA Technique,India,India,India,20.59368400,78.96288000,edu, 88b9b003c488f1fd76c82ca9311a24c070fef2c8,"Person Retrieval in Surveillance Video using Height, Color and Gender",Ahmedabad University,Ahmedabad University,"School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India",23.03787430,72.55180046,edu, +88b9b003c488f1fd76c82ca9311a24c070fef2c8,"Person Retrieval in Surveillance Video using Height, Color and Gender",India,India,India,20.59368400,78.96288000,edu, +8818b12aa0ff3bf0b20f9caa250395cbea0e8769,Fashion Conversation Data on Instagram_ICWSM 2017,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 8818b12aa0ff3bf0b20f9caa250395cbea0e8769,Fashion Conversation Data on Instagram_ICWSM 2017,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, 880760777e3671593ba50b7a17b0d30b655fc86d,"Visual Question Answering : Datasets , Methods , Challenges and Oppurtunities",Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 88af2da57863b60ddd3776d61113b552e827d3b8,Face Recognition by Sliding Complex Wavelet Structural Similarity Index on Detail Geometry Images ⋆,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +88af2da57863b60ddd3776d61113b552e827d3b8,Face Recognition by Sliding Complex Wavelet Structural Similarity Index on Detail Geometry Images ⋆,China,China,China,35.86166000,104.19539700,edu, 88bf14cd272fda73e5bc8fb48102a93149792e37,Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 88bf14cd272fda73e5bc8fb48102a93149792e37,Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu, 88e2574af83db7281c2064e5194c7d5dfa649846,A Robust Shape Reconstruction Method for Facial Feature Point Detection,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +88e2574af83db7281c2064e5194c7d5dfa649846,A Robust Shape Reconstruction Method for Facial Feature Point Detection,China,China,China,35.86166000,104.19539700,edu, 504c1cc2ddea7db0f684269be3df05e9e95b6e2c,"Automatic 3D Face Detection, Normalization and Recognition",University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 50f6888d9a7edb746e43a78c682a57c7ef36765b,Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 50f6888d9a7edb746e43a78c682a57c7ef36765b,Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 50f6888d9a7edb746e43a78c682a57c7ef36765b,Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 50f6888d9a7edb746e43a78c682a57c7ef36765b,Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 50f6888d9a7edb746e43a78c682a57c7ef36765b,Near-duplicate keyframe retrieval by semi-supervised learning and nonrigid image matching,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +507660f778fe913f6e1957fe39a87cbf50a52b2e,Sparse Camera Network for Visual Surveillance -- A Comprehensive Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 50894e607cd5eb616913b520c4e238a73f432b86,eural Correlates of Eye Gaze Processing in the Infant roader Autism Phenotype,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +500993a8852f766d4bac7b5039b9072b587e4d09,HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 500c096c3be8c6dc084cdbf1b24288926b2dfefc,Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, 500c096c3be8c6dc084cdbf1b24288926b2dfefc,Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, 500c096c3be8c6dc084cdbf1b24288926b2dfefc,Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 500c096c3be8c6dc084cdbf1b24288926b2dfefc,Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, 500c096c3be8c6dc084cdbf1b24288926b2dfefc,Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, 50953b9a15aca6ef3351e613e7215abdcae1435e,Learning coarse-to-fine sparselets for efficient object detection and scene classification,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +50074af3edde8b12d5131339cc2c3b089fa5d8f1,Face Recognition Using Wavelet Transforms,India,India,India,20.59368400,78.96288000,edu, +50074af3edde8b12d5131339cc2c3b089fa5d8f1,Face Recognition Using Wavelet Transforms,India,India,India,20.59368400,78.96288000,edu, +50074af3edde8b12d5131339cc2c3b089fa5d8f1,Face Recognition Using Wavelet Transforms,India,India,India,20.59368400,78.96288000,edu, +50ff21e595e0ebe51ae808a2da3b7940549f4035,Age Group and Gender Estimation in the Wild With Deep RoR Architecture,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +50ff21e595e0ebe51ae808a2da3b7940549f4035,Age Group and Gender Estimation in the Wild With Deep RoR Architecture,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 50b40ec042047b4292fd9b650969d4efbd20c9ed,Optimal gradient pursuit for face alignment,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, 50a8dc4c1d40967a95b684eb421edd03415fb7ab,Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 50a8dc4c1d40967a95b684eb421edd03415fb7ab,Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, 50a8dc4c1d40967a95b684eb421edd03415fb7ab,Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +50a8dc4c1d40967a95b684eb421edd03415fb7ab,Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,China,China,China,35.86166000,104.19539700,edu, 50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 50a353f67a64420370517e12d67bf79247ce077a,Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data,Kent State University,Kent State University,"Kent State University, Lester A. Lefton Esplanade, Whitehall Terrace, Kent, Portage County, Ohio, 44242-0001, USA",41.14435250,-81.33982833,edu, 508702ed2bf7d1b0655ea7857dd8e52d6537e765,Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, +5042b358705e8d8e8b0655d07f751be6a1565482,"- 9359 ( Volume-4 , Issue-8 ) Review on Emotion Detection in Image",India,India,India,20.59368400,78.96288000,edu, +50188f3b8d63e196af9ad156e8ff127e060d0aef,Metadata of the chapter that will be visualized in SpringerLink,China,China,China,35.86166000,104.19539700,edu, 5075c16908a72d506aa19e10e12e79ed9383db48,Lecture 16 : Recognizing Objects by Parts,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +5075c16908a72d506aa19e10e12e79ed9383db48,Lecture 16 : Recognizing Objects by Parts,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 509be79bd94d56ef7cd1af54e2be88983805bbe9,Thread Progress Equalization: Dynamically Adaptive Power-Constrained Performance Optimization of Multi-Threaded Applications,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 509be79bd94d56ef7cd1af54e2be88983805bbe9,Thread Progress Equalization: Dynamically Adaptive Power-Constrained Performance Optimization of Multi-Threaded Applications,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 509be79bd94d56ef7cd1af54e2be88983805bbe9,Thread Progress Equalization: Dynamically Adaptive Power-Constrained Performance Optimization of Multi-Threaded Applications,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, @@ -5829,7 +7102,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 5050807e90a925120cbc3a9cd13431b98965f4b9,Unsupervised learning of discriminative relative visual attributes,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu, 50131e57e14eafd385d94fb31e63f86a5bab9b9f,Detection and Segmentation of Brain Metastases with Deep Convolutional Networks,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, 50bf4f77d8b66ec838ad59a869630eace7e0e4a7,Deeply-Learned Part-Aligned Representations for Person Re-identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, -50bf4f77d8b66ec838ad59a869630eace7e0e4a7,Deeply-Learned Part-Aligned Representations for Person Re-identification,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +50bf4f77d8b66ec838ad59a869630eace7e0e4a7,Deeply-Learned Part-Aligned Representations for Person Re-identification,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 503ebd87259e8757aca3f29861f9878f9a09b26b,Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 500fbe18afd44312738cab91b4689c12b4e0eeee,ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 500fbe18afd44312738cab91b4689c12b4e0eeee,ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu, @@ -5838,6 +7111,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 500fbe18afd44312738cab91b4689c12b4e0eeee,ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition,University of Venezia,University of Venezia,"University, Fondamenta Toffetti, Dorsoduro, Venezia-Murano-Burano, Venezia, VE, VEN, 30123, Italia",45.43127420,12.32653770,edu, 50ab5859994c76dd69f2ef6c770888408d9ae5d0,Intention Oriented Image Captions with Guiding Objects,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 5017d635ba8dd630fc0375bfa71cf2a3397fae8d,Multiset Feature Learning for Highly Imbalanced Data Classification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +5017d635ba8dd630fc0375bfa71cf2a3397fae8d,Multiset Feature Learning for Highly Imbalanced Data Classification,China,China,China,35.86166000,104.19539700,edu, 5017d635ba8dd630fc0375bfa71cf2a3397fae8d,Multiset Feature Learning for Highly Imbalanced Data Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 5017d635ba8dd630fc0375bfa71cf2a3397fae8d,Multiset Feature Learning for Highly Imbalanced Data Classification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 5017d635ba8dd630fc0375bfa71cf2a3397fae8d,Multiset Feature Learning for Highly Imbalanced Data Classification,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, @@ -5845,6 +7119,8 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 507af6591900a7165c529eca9fd370008c1ac87c,"For Black men, being tall increases threat stereotyping and police stops.",University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 507af6591900a7165c529eca9fd370008c1ac87c,"For Black men, being tall increases threat stereotyping and police stops.",Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 50d2fa4e3a4e961cf35cef6d11ea745f9d1b3839,Spotlight the Negatives: A Generalized Discriminative Latent Model,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +50ed931266a22bc166afef38f4b217fe9b4d5d74,Efficient eye typing with 9-direction gaze estimation,China,China,China,35.86166000,104.19539700,edu, +50ed931266a22bc166afef38f4b217fe9b4d5d74,Efficient eye typing with 9-direction gaze estimation,China,China,China,35.86166000,104.19539700,edu, 50ed931266a22bc166afef38f4b217fe9b4d5d74,Efficient eye typing with 9-direction gaze estimation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 50af3b6f7192951b42c2531ee931c8244e505a5c,Weakly Supervised Learning for Attribute Localization in Outdoor Scenes,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, 50d80e2020698b4cf49e6b820df0aea497d8fdd3,Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -5863,6 +7139,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 50612493253f5cea7ecf406e9a8d75382b96a83e,How do humans sketch objects?,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 50612493253f5cea7ecf406e9a8d75382b96a83e,How do humans sketch objects?,TU Berlin,TU Berlin,"Franklinstraße 28-29, 10587 Berlin, Germany",52.51806410,13.32504250,edu,"Franklinstr. 28/29, 10587, Germany" 5003754070f3a87ab94a2abb077c899fcaf936a6,Evaluation of LC-KSVD on UCF 101 Action Dataset,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +50e5dd45a94a56cb973e51dc3347e621266db7e4,3 D Face Recognition Using Concurrent Neural Modules,Romania,Romania,Romania,45.94316100,24.96676000,edu, 5060e2e7d94e002a5376f4edfd2e48ac01d6221f,"Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures",University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 5060e2e7d94e002a5376f4edfd2e48ac01d6221f,"Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures",Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, 5060e2e7d94e002a5376f4edfd2e48ac01d6221f,"Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures",University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, @@ -5884,6 +7161,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 505ea4493e4b733352c921401a96d92b4e6d4448,Coupled Discriminative Feature Learning for Heterogeneous Face Recognition,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu, 504d79d7fba48645ef84a90b94a431f8a7e0612d,Compositional Compression of Deep Image Features Using Stacked Quantizers,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 1c7a050394371bcb064868dfe681ff4c29ce2101,Expressive Models and Comprehensive Benchmark for 2D Human Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +1c7a050394371bcb064868dfe681ff4c29ce2101,Expressive Models and Comprehensive Benchmark for 2D Human Pose Estimation,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 1c7a050394371bcb064868dfe681ff4c29ce2101,Expressive Models and Comprehensive Benchmark for 2D Human Pose Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 1c2802c2199b6d15ecefe7ba0c39bfe44363de38,Personalizing Human Video Pose Estimation,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu, 1c2802c2199b6d15ecefe7ba0c39bfe44363de38,Personalizing Human Video Pose Estimation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -5892,6 +7170,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 1c2802c2199b6d15ecefe7ba0c39bfe44363de38,Personalizing Human Video Pose Estimation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 1c686359a30e68183d1b23e069c56a7c0b1fdae3,3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 1c9efb6c895917174ac6ccc3bae191152f90c625,Unifying Identification and Context Learning for Person Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +1cdf8790a675037579bbe2ee4f39f731f7672fae,Pivot Correlational Neural Network for Multimodal Video Categorization,"KAIST, Daejeon, South Korea","KAIST, Daejeon, South Korea","291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 1cea72fb523432d80b77224433d57828da44828c,Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu, 1cea72fb523432d80b77224433d57828da44828c,Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 1cea72fb523432d80b77224433d57828da44828c,Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, @@ -5899,6 +7178,8 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 1cea72fb523432d80b77224433d57828da44828c,Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 1cea72fb523432d80b77224433d57828da44828c,Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 1c41965c5e1f97b1504c1bdde8037b5e0417da5e,Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3,Dynamic Image-to-Class Warping for Occluded Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1ce4587e27e2cf8ba5947d3be7a37b4d1317fbee,Deep fusion of visual signatures for client-server facial analysis,India,India,India,20.59368400,78.96288000,edu, 1c3f3866dec10f858193b4eb34dfc1cdcff0cb45,Employing Weak Annotations for Medical Image Analysis Problems,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 1c3f3866dec10f858193b4eb34dfc1cdcff0cb45,Employing Weak Annotations for Medical Image Analysis Problems,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, 1c1aa29b709370f78cc485b14c18b89a53229b62,Topological Data Mapping for Improved Generalization Capabilities using Counter Propagation Networks,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu, @@ -5908,25 +7189,33 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 1c6690ab404b23d5026dd3ad0c7a49ce2875c1b3,Anchors: High-Precision Model-Agnostic Explanations,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 1c522e6b5d8b85f29ecacb477226ce8c33cc65d5,ICA Based Face Recognition Robust to Partial Occlusions and Local Distortions,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu, 1c42f8ab39e22225ffd3222baeba4863435220a0,Differentiable Learning-to-Normalize via Switchable Normalization,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +1cdff2cd2e3cf8dbeb8f0a42df0cdc77c953dc81,The Emergence of Visual Crowdsensing: Challenges and Opportunities,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1cdff2cd2e3cf8dbeb8f0a42df0cdc77c953dc81,The Emergence of Visual Crowdsensing: Challenges and Opportunities,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1cad5d682393ffbb00fd26231532d36132582bb4,Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 1c4f47cd1aaff689aafda8211db9c1732225b1bc,Mix-and-Match Tuning for Self-Supervised Semantic Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1c404de2c85a1b58cf7048ca645de6d392358779,Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, 1c6e067098fa86ee3f96365f28669b06f9ce0c7a,Object Detection from Video Tubelets with Convolutional Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, -1c4ceae745fe812d8251fda7aad03210448ae25e,Optimization of Color Conversion for Face Recognition,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, -1c4ceae745fe812d8251fda7aad03210448ae25e,Optimization of Color Conversion for Face Recognition,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +1c4ceae745fe812d8251fda7aad03210448ae25e,Optimization of Color Conversion for Face Recognition,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +1c4ceae745fe812d8251fda7aad03210448ae25e,Optimization of Color Conversion for Face Recognition,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, 1cc902dc999103c8ed27559affa5cdaed6fc2c38,Analysing comparative soft biometrics from crowdsourced annotations,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +1cf01968594ae59d28b12c9a35fc43d944563071,Low-Level Features for Image Retrieval Based on Extraction of Directional Binary Patterns and Its Oriented Gradients Histogram,India,India,India,20.59368400,78.96288000,edu, +1c9da6cef6b1be9c116b26dd52c341c0adcf7db2,Interactive Perception: Leveraging Action in Perception and Perception in Action,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1c9da6cef6b1be9c116b26dd52c341c0adcf7db2,Interactive Perception: Leveraging Action in Perception and Perception in Action,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1ca9da67e2c427e59a5a54c9b31157e6b8b4843e,A Boundary-Fragment-Model for Object Detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 1cf4abbd052c94e63557b7922f7a5fc7e22c6e3f,Multimodal Similarity-Preserving Hashing,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 1c147261f5ab1b8ee0a54021a3168fa191096df8,Face Recognition across Time Lapse Using Convolutional Neural Networks,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, 1cfbaa9af05f0eea03ac7c28cc0e588687cd8343,Self-view Grounding Given a Narrated 360{\deg} Video,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 1cfbaa9af05f0eea03ac7c28cc0e588687cd8343,Self-view Grounding Given a Narrated 360{\deg} Video,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, -1c2db743b37306e50c4234da53510c113f50f9ff,Exploring Weak Stabilization for Motion Feature Extraction,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -1c2db743b37306e50c4234da53510c113f50f9ff,Exploring Weak Stabilization for Motion Feature Extraction,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +1c3ec6379ba664d52d250ac1647d379ec970fa5c,Object proposal by multi-branch hierarchical segmentation,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +1c2db743b37306e50c4234da53510c113f50f9ff,Exploring Weak Stabilization for Motion Feature Extraction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +1c2db743b37306e50c4234da53510c113f50f9ff,Exploring Weak Stabilization for Motion Feature Extraction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 1c530de1a94ac70bf9086e39af1712ea8d2d2781,Sparsity Conditional Energy Label Distribution Learning for Age Estimation,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 1c9a61c8ec255d033201fb9b394b283a6b6acacc,Structured Feature Learning for Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1c5b168c29d1c8b3dc753865c741b9f3c56d0555,Auto-Encoding Scene Graphs for Image Captioning,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 1c71e653f86b06eb7d5b1d92694f34e6f57173de,Enhanced Attacks on Defensively Distilled Deep Neural Networks,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 1c99e412666d63e46e1c6606841837d3c18f48e6,Unsupervised object learning from dense equivariant image labelling,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +1cc3c5f242d885738e9349a91d4beba82ae106a6,Scalable nonconvex inexact proximal splitting,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +1cb68fa98a0d9871a394cd0035488df167b9c2cf,RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 1c2724243b27a18a2302f12dea79d9a1d4460e35,Fisher+Kernel criterion for discriminant analysis,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 1c2724243b27a18a2302f12dea79d9a1d4460e35,Fisher+Kernel criterion for discriminant analysis,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1c2724243b27a18a2302f12dea79d9a1d4460e35,Fisher+Kernel criterion for discriminant analysis,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, @@ -5935,11 +7224,14 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 1c17450c4d616e1e1eece248c42eba4f87de9e0d,Automatic Age Estimation from Face Images via Deep Ranking,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 1c1f21bf136fe2eec412e5f70fd918c27c5ccb0a,Object Detection and Viewpoint Estimation with Auto-masking Neural Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1c1f21bf136fe2eec412e5f70fd918c27c5ccb0a,Object Detection and Viewpoint Estimation with Auto-masking Neural Network,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +1c1f21bf136fe2eec412e5f70fd918c27c5ccb0a,Object Detection and Viewpoint Estimation with Auto-masking Neural Network,China,China,China,35.86166000,104.19539700,edu, 1cee993dc42626caf5dbc26c0a7790ca6571d01a,Optimal illumination for image and video relighting,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 1c408790a7bc5cc8b0c2e23668ad326d0ccbebd4,Automatic detection of pain intensity,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1c408790a7bc5cc8b0c2e23668ad326d0ccbebd4,Automatic detection of pain intensity,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 1cf53b650c4a3e212bd6f25e3c9fe8c757862a7d,Human pose estimation via Convolutional Part Heatmap Regression,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 1c37f96b346c76cae6d13f3731d5160e1be7cb49,Robust 3D Face Recognition by Using Shape Filtering,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +1c37f96b346c76cae6d13f3731d5160e1be7cb49,Robust 3D Face Recognition by Using Shape Filtering,China,China,China,35.86166000,104.19539700,edu, +1ca40e1d0ae377296ac6804c81c1e5bcbc5475c8,RVM-Based Human Action Classification in Crowd through Projection and Star Skeletonization,India,India,India,20.59368400,78.96288000,edu, 1c05dc0f73f424561c488a282c711827047459c4,Supervised trace lasso for robust face recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 1cbd3f96524ca2258fd2d5c504c7ea8da7fb1d16,Fusion of Audio-visual Features using Hierarchical Classifier Systems for the Recognition of Affective States and the State of Depression,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu, 1c3ca2dc3bbdcdda1abd78d40dcc2e6945118e60,Generalized Range Moves,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, @@ -5954,9 +7246,12 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 1cd9c4bfb68a5821b756ccc0a6bd8105aafc7f56,Learning with Mixtures of Trees,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 1caac27548cc7f98380e4e95ccbc8e6e164489c8,Human Pose Estimation using Deep Consensus Voting,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, 1cd3250280a0703ba57bbc357287a7213f901b7e,Learning spatio-temporal models of facial expressions,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +45c4514ca2b7903b4c8f43e396bce73f014b72be,Parallel Feature Extraction through Preserving Global and Discriminative Property for Kernel-Based Image Classification,China,China,China,35.86166000,104.19539700,edu, 451b6409565a5ad18ea49b063561a2645fa4281b,Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 454dd76eb0a82286c054a6dd9d9413e09ad66801,Graph-Structured Representations for Visual Question Answering,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, -457126a6ae703998ba62f283699f94fe5874398d,Free energy score space,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +45bedfcb562e48a64436ea3131bc91098eb93dab,Incremental update of biometric models in face-based video surveillance,"Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada","Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada","140 Thad Johnson Private, Ottawa, ON K1V 0R4, Canada",45.32564940,-75.65345940,gov, +457126a6ae703998ba62f283699f94fe5874398d,Free energy score space,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, +457126a6ae703998ba62f283699f94fe5874398d,Free energy score space,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 450c6a57f19f5aa45626bb08d7d5d6acdb863b4b,Towards Interpretable Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 454f403857e487d6a885180e0e0f7216a342fb0e,Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 459960be65dd04317dd325af5b7cbb883d822ee4,The Meme Quiz: A Facial Expression Game Combining Human Agency and Machine Involvement,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, @@ -5975,17 +7270,24 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 4543052aeaf52fdb01fced9b3ccf97827582cef5,Quantized Densely Connected U-Nets for Efficient Landmark Localization,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 4543052aeaf52fdb01fced9b3ccf97827582cef5,Quantized Densely Connected U-Nets for Efficient Landmark Localization,Binghamton University,Binghamton University,"Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA",42.09580770,-75.91455689,edu, 4543052aeaf52fdb01fced9b3ccf97827582cef5,Quantized Densely Connected U-Nets for Efficient Landmark Localization,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" +45e2aa7706fcedcbb2d93304a9824fe762b8b3b0,DAC-SDC Low Power Object Detection Challenge for UAV Applications,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +45e2aa7706fcedcbb2d93304a9824fe762b8b3b0,DAC-SDC Low Power Object Detection Challenge for UAV Applications,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 45deb9d034e5c99de0e36e4c2a9a4f4277d1497f,Compound facial expressions of emotion.,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, 45deb9d034e5c99de0e36e4c2a9a4f4277d1497f,Compound facial expressions of emotion.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, +459e840ec58ef5ffcee60f49a94424eb503e8982,One-shot Face Recognition by Promoting Underrepresented Classes,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 4541c9b4b7e6f7a232bdd62ae653ba5ec0f8bbf6,The role of structural facial asymmetry in asymmetry of peak facial expressions.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 4541c9b4b7e6f7a232bdd62ae653ba5ec0f8bbf6,The role of structural facial asymmetry in asymmetry of peak facial expressions.,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4541c9b4b7e6f7a232bdd62ae653ba5ec0f8bbf6,The role of structural facial asymmetry in asymmetry of peak facial expressions.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 452955c4e448b5f5baa1522c0002d6f192166851,Low-Resource Face Spoofing Detection in a User-friendly Manner,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +455943924a98593655ae7197ee3835b9f6a3b778,Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning,"Valeo Vision Systems, Ireland","Valeo Vision Systems, Ireland","IDA Business Park, Dunmore Rd, Galway, Ireland",53.52190380,-8.84273220,edu, +4562272025a5bcdb321408116c699798a7997847,Leveraging RGB-D Data: Adaptive fusion and domain adaptation for object detection,University of Freiburg,"Social Robotics Lab, University of Freiburg, Germany","Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany",47.99354410,7.84594960,edu, 45e616093a92e5f1e61a7c6037d5f637aa8964af,Fine-grained evaluation on face detection in the wild,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 45483f17551d9c6b550474dc7168ec31302e5d7b,Face recognition via collaborative representation based multiple one-dimensional embedding,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, +45483f17551d9c6b550474dc7168ec31302e5d7b,Face recognition via collaborative representation based multiple one-dimensional embedding,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 45e8ef229fae18b0a2ab328037d8e520866c3c81,Learning Feature Pyramids for Human Pose Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 45e8ef229fae18b0a2ab328037d8e520866c3c81,Learning Feature Pyramids for Human Pose Estimation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 457cf73263d80a1a1338dc750ce9a50313745d1d,Decomposing Motion and Content for Natural Video Sequence Prediction,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +457cf73263d80a1a1338dc750ce9a50313745d1d,Decomposing Motion and Content for Natural Video Sequence Prediction,"POSTECH, Pohang, Korea","POSTECH, Pohang, Korea","77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea",36.01388570,129.32318360,edu, 457cf73263d80a1a1338dc750ce9a50313745d1d,Decomposing Motion and Content for Natural Video Sequence Prediction,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 45f858f9e8d7713f60f52618e54089ba68dfcd6d,What Actions are Needed for Understanding Human Actions in Videos?,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 459b4d0ed3031e2fe5b3b3f176a5204dfb28157a,3D face landmark labelling,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, @@ -6006,11 +7308,15 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 4558338873556d01fd290de6ddc55721c633a1ad,Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu, 45619a2b7b41fea02345badf880530519d3d4c8f,Learning Generalized Linear Models Over Normalized Data,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 45c182f8d003a2d505e4d1d491b5d03159a70b81,Training Generative Adversarial Networks Via Turing Test,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +45c182f8d003a2d505e4d1d491b5d03159a70b81,Training Generative Adversarial Networks Via Turing Test,China,China,China,35.86166000,104.19539700,edu, 45052b4bad0ca9a51e3f00ce50ed8495595af681,Fusion of PCA-Based and LDA-Based Similarity Measures for Face Verification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 45a3ba54fc2210cf8a4fba0cbdce9dad3cefc826,Complete Cross-Validation for Nearest Neighbor Classifiers,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +457abee61182a320b301d73ecceff00d055f596e,Face Recognition Using Line Edge Map,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 451eed7fd8ae281d1cc76ca8cdecbaf47816e55a,Close Yet Distinctive Domain Adaptation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +454ec30d0a491800458a52a5aa655eb76a28f4f5,3-D Object Recognition Using 2-D Views,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4597b7c4f13e1dfc456d156c6c05502fc5d38eec,Human Action Adverb Recognition: ADHA Dataset and A Three-Stream Hybrid Model,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 45513d0f2f5c0dac5b61f9ff76c7e46cce62f402,Face Discovery with Social Context,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +45ff38add61df32a027048624f58952a67a7c5f5,Deep Context Convolutional Neural Networks for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 45ff38add61df32a027048624f58952a67a7c5f5,Deep Context Convolutional Neural Networks for Semantic Segmentation,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 2b73e3d541b0208ae54b3920fef4bfd9fd0c84a7,Feature-based face representations and image reconstruction from behavioral and neural data.,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 2b73e3d541b0208ae54b3920fef4bfd9fd0c84a7,Feature-based face representations and image reconstruction from behavioral and neural data.,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -6019,16 +7325,19 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 2b10b0f309546878ec418ae6e6f0a993fd7f3293,Human Perambulation as a Self Calibrating Biometric,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 2b2ba4857991c40fb854080dc5f9e48e60c35e68,"Data Hallucination , Falsification and Validation using Generative Models and Formal Methods by","University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 2b435ee691718d0b55d057d9be4c3dbb8a81526e,SURF-Face: Face Recognition Under Viewpoint Consistency Constraints,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, +2bbb772332a90b2aba893f7467daa76b373be240,Extracting 3D Layout From a Single Image Using Global Image Structures,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2b852a4e5026ab962050a0ef23a6892e06abb152,EmojiGAN: learning emojis distributions with a generative model,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 2b852a4e5026ab962050a0ef23a6892e06abb152,EmojiGAN: learning emojis distributions with a generative model,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 2b852a4e5026ab962050a0ef23a6892e06abb152,EmojiGAN: learning emojis distributions with a generative model,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 2b869d5551b10f13bf6fcdb8d13f0aa4d1f59fc4,Ring loss: Convex Feature Normalization for Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 2b4bed0fadee29a84a272d7c52adc4a70e1a2b52,Human motion detection using fuzzy rule-base classification of moving blob regions,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, 2b4bed0fadee29a84a272d7c52adc4a70e1a2b52,Human motion detection using fuzzy rule-base classification of moving blob regions,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, +2b4bed0fadee29a84a272d7c52adc4a70e1a2b52,Human motion detection using fuzzy rule-base classification of moving blob regions,India,India,India,20.59368400,78.96288000,edu, 2b339ece73e3787f445c5b92078e8f82c9b1c522,"Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraints",University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 2b86919eb8073d9b0e137b23cc9a14fab8bc601b,Joint Intensity and Spatial Metric Learning for Robust Gait Recognition,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 2b0102d77d3d3f9bc55420d862075934f5c85bec,Slicing Convolutional Neural Network for Crowd Video Understanding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 2b0102d77d3d3f9bc55420d862075934f5c85bec,Slicing Convolutional Neural Network for Crowd Video Understanding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +2b9082b6b5266f6f7d7a95892f30cc84138697e5,Video Person Re-Identification by Temporal Residual Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2b9410889dc6870cc6e0476dbc681049b28ccacb,Learning to Detect Carried Objects with Minimal Supervision,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 2b64a8c1f584389b611198d47a750f5d74234426,Deblurring Face Images with Exemplars,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 2b64a8c1f584389b611198d47a750f5d74234426,Deblurring Face Images with Exemplars,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, @@ -6038,6 +7347,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 2b0e1a62d7168df5f29e2e9c7fc72ae43c39fdb2,Emotion expression modulates perception of animacy from faces,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 2b4e48d6a0f7c612acc8748bc0dccacde2174c1d,A task in a suit and a tie: paraphrase generation with semantic augmentation,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 2b10a07c35c453144f22e8c539bf9a23695e85fc,Standardization of Face Image Sample Quality,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +2b10a07c35c453144f22e8c539bf9a23695e85fc,Standardization of Face Image Sample Quality,China,China,China,35.86166000,104.19539700,edu, 2b10a07c35c453144f22e8c539bf9a23695e85fc,Standardization of Face Image Sample Quality,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2b4512097cb0056886f2d4d2ca7f5b034a647237,3D Facial Expression Recognition Based on Primitive Surface Feature Distribution,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, 2b88c583cd62130f1e2c6921db9703a0c5746a90,Multicamera tracking of multiple humans based on colored visual hulls,University of Crete,University of Crete,"House of Europe, Μακεδονίας, Ρέθυμνο, Δήμος Ρεθύμνης, Περιφερειακή Ενότητα Ρεθύμνου, Περιφέρεια Κρήτης, Κρήτη, 930100, Ελλάδα",35.37130240,24.47544080,edu, @@ -6046,8 +7356,11 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 2b5cb5466eecb131f06a8100dcaf0c7a0e30d391,A comparative study of active appearance model annotation schemes for the face,"UNCW, USA","UNCW, USA","601 S College Rd, Wilmington, NC 28403, USA",34.22398690,-77.87013250,edu, 2bcec23ac1486f4106a3aa588b6589e9299aba70,An Uncertain Future: Forecasting from Static Images using Variational Autoencoders,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 2bcd59835528c583bb5b310522a5ba6e99c58b15,Multi-class Open Set Recognition Using Probability of Inclusion,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, +2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7,Fast Support Vector Classifier for automated content-based search in video surveillance,Romania,Romania,Romania,45.94316100,24.96676000,edu, 2b84630680e2c906f8d7ac528e2eb32c99ef203a,We are not All Equal: Personalizing Models for Facial Expression Analysis with Transductive Parameter Transfer,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 2b84630680e2c906f8d7ac528e2eb32c99ef203a,We are not All Equal: Personalizing Models for Facial Expression Analysis with Transductive Parameter Transfer,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu, +2bbbbe1873ad2800954058c749a00f30fe61ab17,Face Verification across Ages Using Self Organizing Map,India,India,India,20.59368400,78.96288000,edu, +2bbbbe1873ad2800954058c749a00f30fe61ab17,Face Verification across Ages Using Self Organizing Map,India,India,India,20.59368400,78.96288000,edu, 2be8e06bc3a4662d0e4f5bcfea45631b8beca4d0,Watch and learn: Semi-supervised learning of object detectors from videos,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 2bb2ba7c96d40e269fc6a2d5384c739ff9fa16eb,Image-Based Recommendations on Styles and Substitutes,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 2bb2ba7c96d40e269fc6a2d5384c739ff9fa16eb,Image-Based Recommendations on Styles and Substitutes,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, @@ -6056,15 +7369,22 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 2b6c031c61b78a9f9ee958d291d29c8ab359404e,Vision of a Visipedia,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 2bb53e66aa9417b6560e588b6235e7b8ebbc294c,Semantic embedding space for zero-shot action recognition,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 2b7ef95822a4d577021df16607bf7b4a4514eb4b,Emergence of Object-Selective Features in Unsupervised Feature Learning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +2ba7c88a7e96d412c116d6bea4ba27be2ed4dd48,CocoNet: A deep neural network for mapping pixel coordinates to color values,Romania,Romania,Romania,45.94316100,24.96676000,edu, +2ba7c88a7e96d412c116d6bea4ba27be2ed4dd48,CocoNet: A deep neural network for mapping pixel coordinates to color values,Romania,Romania,Romania,45.94316100,24.96676000,edu, 2b64a72d53f13417c6352d3e89fd27df91b5d697,Learning human interaction by interactive phrases,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 2bf8541199728262f78d4dced6fb91479b39b738,Clothing Co-parsing by Joint Image Segmentation and Labeling,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 2bf8541199728262f78d4dced6fb91479b39b738,Clothing Co-parsing by Joint Image Segmentation and Labeling,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +2bf8541199728262f78d4dced6fb91479b39b738,Clothing Co-parsing by Joint Image Segmentation and Labeling,China,China,China,35.86166000,104.19539700,edu, 2b514d32318bb01ab04f75ef19ad1af63bce7943,ad-heap: an Efficient Heap Data Structure for Asymmetric Multicore Processors,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu, +2b4d092d70efc13790d0c737c916b89952d4d8c7,Robust Facial Expression Recognition using Local Haar Mean Binary Pattern,India,India,India,20.59368400,78.96288000,edu, +2b4d092d70efc13790d0c737c916b89952d4d8c7,Robust Facial Expression Recognition using Local Haar Mean Binary Pattern,India,India,India,20.59368400,78.96288000,edu, 2ba23d9b46027e47b4483243871760e315213ffe,Energy-based Generative Adversarial Network,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 2bc16bf87ceec85822912ef612385e519a6f98b5,"Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 2bc16bf87ceec85822912ef612385e519a6f98b5,"Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 2bdba44420e400eceab79f02a8552ee97e940225,Pornography detection using BossaNova video descriptor,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, 2bab44d3a4c5ca79fb8f87abfef4456d326a0445,Player identification in soccer videos,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +2b4d40ef1610500c207f166e9a5b55dbfe234045,A New Biased Discriminant Analysis Using Composite Vectors for Eye Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +2b4d40ef1610500c207f166e9a5b55dbfe234045,A New Biased Discriminant Analysis Using Composite Vectors for Eye Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2b42f83a720bd4156113ba5350add2df2673daf0,Action Recognition and Detection by Combining Motion and Appearance Features,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 2b42f83a720bd4156113ba5350add2df2673daf0,Action Recognition and Detection by Combining Motion and Appearance Features,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 2b42f83a720bd4156113ba5350add2df2673daf0,Action Recognition and Detection by Combining Motion and Appearance Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -6078,24 +7398,37 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 467b602a67cfd7c347fe7ce74c02b38c4bb1f332,Large Margin Local Metric Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 46f698dacdb5f76d6b4dae67cb1ae4da2b789398,Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 4622b82a8aff4ac1e87b01d2708a333380b5913b,Multi-label CNN based pedestrian attribute learning for soft biometrics,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +4622b82a8aff4ac1e87b01d2708a333380b5913b,Multi-label CNN based pedestrian attribute learning for soft biometrics,China,China,China,35.86166000,104.19539700,edu, 46836605c2ef5f78796644da3d385f66825518ba,Action Detection in Crowd,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 46702e0127e16a4d6a1feda3ffc5f0f123957e87,Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +46702e0127e16a4d6a1feda3ffc5f0f123957e87,Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 462fe97ce53e58c8e2cb01c925b46bcf3bb53eda,How features of the human face affect recognition: a statistical comparison of three face recognition algorithms,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, 462fe97ce53e58c8e2cb01c925b46bcf3bb53eda,How features of the human face affect recognition: a statistical comparison of three face recognition algorithms,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, 46bdfee362a4de978d24d53fd704d64d82273718,Crowd Tracking with Dynamic Evolution of Group Structures,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 46bdfee362a4de978d24d53fd704d64d82273718,Crowd Tracking with Dynamic Evolution of Group Structures,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 46bdfee362a4de978d24d53fd704d64d82273718,Crowd Tracking with Dynamic Evolution of Group Structures,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +46bdfee362a4de978d24d53fd704d64d82273718,Crowd Tracking with Dynamic Evolution of Group Structures,China,China,China,35.86166000,104.19539700,edu, +46bdfee362a4de978d24d53fd704d64d82273718,Crowd Tracking with Dynamic Evolution of Group Structures,China,China,China,35.86166000,104.19539700,edu, 4678a2ae263e7952887df31f76ab404df74a4649,High Performance Human Face Recognition using Gabor Based Pseudo Hidden Markov Model,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +4678a2ae263e7952887df31f76ab404df74a4649,High Performance Human Face Recognition using Gabor Based Pseudo Hidden Markov Model,India,India,India,20.59368400,78.96288000,edu, 468c97bdfb67614d458ba63eee04756add5631b3,Beyond Kmedoids: Sparse Model Based Medoids Algorithm for Representative Selection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +468c97bdfb67614d458ba63eee04756add5631b3,Beyond Kmedoids: Sparse Model Based Medoids Algorithm for Representative Selection,China,China,China,35.86166000,104.19539700,edu, 460852dc965390d116e05e2dc28681a9abe08f2d,Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron‬,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 4698ed97f4a78e724c903ec1dd6e5538203237c8,Using phase instead of optical flow for action recognition,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 4698ed97f4a78e724c903ec1dd6e5538203237c8,Using phase instead of optical flow for action recognition,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, -46253ab8721ced8c9b94234f3a2401efde1e3f2a,Language Models for Image Captioning: The Quirks and What Works,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +46253ab8721ced8c9b94234f3a2401efde1e3f2a,Language Models for Image Captioning: The Quirks and What Works,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 46e72046a9bb2d4982d60bcf5c63dbc622717f0f,Learning Discriminative Features with Class Encoder,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 46ae4d593d89b72e1a479a91806c39095cd96615,A conditional random field approach for face identification in broadcast news using overlaid text,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +4698a599425c3a6bae1c698456029519f8f2befe,Transferring Rich Deep Features for Facial Beauty Prediction,China,China,China,35.86166000,104.19539700,edu, +4698a599425c3a6bae1c698456029519f8f2befe,Transferring Rich Deep Features for Facial Beauty Prediction,China,China,China,35.86166000,104.19539700,edu, 4698a599425c3a6bae1c698456029519f8f2befe,Transferring Rich Deep Features for Facial Beauty Prediction,University of North Texas,University of North Texas,"University of North Texas, West Highland Street, Denton, Denton County, Texas, 76201, USA",33.20988790,-97.15147488,edu, 46d29ee2b97362299ef83c06ffc4461906f1ccda,It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 46d29ee2b97362299ef83c06ffc4461906f1ccda,It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, +469d249a40639d4ffb62abfb2c25f5aab0812fa4,Image Inspired Poetry Generation in XiaoIce,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +469ee1b00f7bbfe17c698ccded6f48be398f2a44,SURVEy : Techniques for Aging Problems in Face Recognition,India,India,India,20.59368400,78.96288000,edu, +469ee1b00f7bbfe17c698ccded6f48be398f2a44,SURVEy : Techniques for Aging Problems in Face Recognition,India,India,India,20.59368400,78.96288000,edu, +469ee1b00f7bbfe17c698ccded6f48be398f2a44,SURVEy : Techniques for Aging Problems in Face Recognition,India,India,India,20.59368400,78.96288000,edu, +468322e98f87a33d926aad99295acc2919b2ca0b,Wally: crowd powered image matching on tablets,India,India,India,20.59368400,78.96288000,edu, 46072f872eee3413f9d05482be6446f6b96b6c09,Trace Quotient Problems Revisited,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 46072f872eee3413f9d05482be6446f6b96b6c09,Trace Quotient Problems Revisited,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 46f32991ebb6235509a6d297928947a8c483f29e,Recognizing Expression Variant Faces from a Single Sample Image per Class,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, @@ -6103,15 +7436,19 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 468c8f09d2ad8b558b65d11ec5ad49208c4da2f2,MSR-CNN: Applying motion salient region based descriptors for action recognition,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 4641986af5fc8836b2c883ea1a65278d58fe4577,Scene Graph Generation by Iterative Message Passing,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 4641986af5fc8836b2c883ea1a65278d58fe4577,Scene Graph Generation by Iterative Message Passing,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +46f5bb35ea99c62320199b1f0924a4e7c0b001d3,Perspective-Aware CNN For Crowd Counting,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 46b7ee97d7dfbd61cc3745e8dfdd81a15ab5c1d4,3D facial geometric features for constrained local model,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 4699af09d3d52f9a97d13f5690bcbf580959d3cf,YOLOv 3 : An Incremental Improvement,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 464b3f0824fc1c3a9eaf721ce2db1b7dfe7cb05a,Deep Adaptive Temporal Pooling for Activity Recognition,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, 464b3f0824fc1c3a9eaf721ce2db1b7dfe7cb05a,Deep Adaptive Temporal Pooling for Activity Recognition,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, 466f80b066215e85da63e6f30e276f1a9d7c843b,Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +46a553e670027e838716e5a1a39577d7cd7a4893,Face Recognition using TSF Model and DWT based Multilevel Illumination Normalization,India,India,India,20.59368400,78.96288000,edu, +46a553e670027e838716e5a1a39577d7cd7a4893,Face Recognition using TSF Model and DWT based Multilevel Illumination Normalization,India,India,India,20.59368400,78.96288000,edu, 4696031ddcdfab8b768817fd974b601b6b68c7f1,3D Pose Estimation from a Single Monocular Image,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 46d7f41189c5e262df9ad1165d5a40d2b685bb0f,Discriminative Multiple Target Tracking,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, 46d7f41189c5e262df9ad1165d5a40d2b685bb0f,Discriminative Multiple Target Tracking,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, 46ed9623dae7b237b15f0c19d11664b979499302,Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, +46d0a519da10160a20a3070cc53e5b9401066526,Incremental Learning of Random Forests for Large-Scale Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 465c34c3334f29de28f973b7702a235509649429,Stereopsis via deep learning,University of Frankfurt,University of Frankfurt,"Frankfurt University of Applied Sciences, Kleiststraße, Nordend West, Frankfurt, Regierungsbezirk Darmstadt, Hessen, 60318, Deutschland",50.13053055,8.69234224,edu, 469592d1fecd776ce4cab2d004e4ada2f2d75f70,3D Facial Landmark Localization Using Combinatorial Search and Shape Regression,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 46773c8a2fa5012f7b3e16b44214de0da3f68859,DisturbLabel: Regularizing CNN on the Loss Layer,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, @@ -6123,16 +7460,21 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 46149723fef89d3b04019b4f62e4c0ceff7c76a0,Diagnostics in Semantic Segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 466184b10fb7ce9857e6b5bd6b4e5003e09a0b16,Extended Grassmann Kernels for Subspace-Based Learning,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 466184b10fb7ce9857e6b5bd6b4e5003e09a0b16,Extended Grassmann Kernels for Subspace-Based Learning,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +4688787d064e59023a304f7c9af950d192ddd33e,Investigating the Discriminative Power of Keystroke Sound,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +4688787d064e59023a304f7c9af950d192ddd33e,Investigating the Discriminative Power of Keystroke Sound,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 46a70d4020609c175bfc9f19e99aebd1c8edb20b,Fast Human Pose Estimation,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 46a70d4020609c175bfc9f19e99aebd1c8edb20b,Fast Human Pose Estimation,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 46d85e1dc7057bef62647bd9241601e9896a1b02,Improving object proposals with multi-thresholding straddling expansion,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +46d85e1dc7057bef62647bd9241601e9896a1b02,Improving object proposals with multi-thresholding straddling expansion,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 4654dd4741b096c769a4c51194c457f4d8e96c34,Super-resolution Restoration of Facial Images in Video,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, 46ee0288c382c7af7fa4f3a5e3c74d60a12c519a,Memory Based Online Learning of Deep Representations from Video Streams,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 464cd3c5f0e9a05dd685a7b71fe88b913da520b4,Increasing CNN Robustness to Occlusions by Reducing Filter Support,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, 464cd3c5f0e9a05dd685a7b71fe88b913da520b4,Increasing CNN Robustness to Occlusions by Reducing Filter Support,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, 4657d87aebd652a5920ed255dca993353575f441,1 Image Normalization for Illumination Compensation in Facial Images,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 3a39cb039fb0f569ab88dfb058d98650a17c9f5c,Structured max-margin learning for multi-label image annotation,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +3a39cb039fb0f569ab88dfb058d98650a17c9f5c,Structured max-margin learning for multi-label image annotation,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 3a39cb039fb0f569ab88dfb058d98650a17c9f5c,Structured max-margin learning for multi-label image annotation,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +3a39cb039fb0f569ab88dfb058d98650a17c9f5c,Structured max-margin learning for multi-label image annotation,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 3aa53e8bb0a1a7e6d5fe4de146af92cd816755f4,Machine Understanding of Human Behavior,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 3aa53e8bb0a1a7e6d5fe4de146af92cd816755f4,Machine Understanding of Human Behavior,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 3aa53e8bb0a1a7e6d5fe4de146af92cd816755f4,Machine Understanding of Human Behavior,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, @@ -6143,25 +7485,36 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 3ab0b3c02f4fa7f1d14315599f4f91563ae565f8,Canonical Time Warping for Alignment of Human Behavior,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 3ab0b3c02f4fa7f1d14315599f4f91563ae565f8,Canonical Time Warping for Alignment of Human Behavior,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3a2d3514b5cdccdb4c13aadb3929f3a78c03f020,"Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges",University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, +3a2d3514b5cdccdb4c13aadb3929f3a78c03f020,"Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges","Valeo Vision Systems, Ireland","Valeo Vision Systems, Ireland","IDA Business Park, Dunmore Rd, Galway, Ireland",53.52190380,-8.84273220,edu, 3a6ebdfb6375093885e846153a48139ef1ecfae6,The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 3a2cf589f5e11ca886417b72c2592975ff1d8472,Spontaneously Emerging Object Part Segmentation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3a2cf589f5e11ca886417b72c2592975ff1d8472,Spontaneously Emerging Object Part Segmentation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +3a4c70ca0bbd461fe2e4de3448a01f06c0217459,Accurate Vision-based Vehicle Localization using Satellite Imagery,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 3a387304d18f2786ee83804bd38efecc2a5fd323,Person Re-Identification Using Multiple Experts with Random Subspaces,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, 3a34c622c1af4b181e99d4a58f7870314944d2c4,1 3 D View-Invariant Face Recognition Using a Hierarchical Pose-Normalization Strategy,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 3a95bfa1d4a989b162e07fa69b85cb6d31a674ab,Linear Ranking Analysis,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, -3aec4e2f04ae7b1d61bee6c98c4e01f6964cc322,Visual-Inertial Object Detection and Mapping,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +3a95bfa1d4a989b162e07fa69b85cb6d31a674ab,Linear Ranking Analysis,China,China,China,35.86166000,104.19539700,edu, +3aec4e2f04ae7b1d61bee6c98c4e01f6964cc322,Visual-Inertial Object Detection and Mapping,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, +3a60678ad2b862fa7c27b11f04c93c010cc6c430,A Multimodal Database for Affect Recognition and Implicit Tagging,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +3a60678ad2b862fa7c27b11f04c93c010cc6c430,A Multimodal Database for Affect Recognition and Implicit Tagging,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3a2a37ca2bdc82bba4c8e80b45d9f038fe697c7d,Handling Uncertain Tags in Visual Recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 3a7d8766e6a1e3f19ccd4d98ded40e01ddc6ca6f,A feature-based structural measure : an image similarity measure for face recognition,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 3a2c90e0963bfb07fc7cd1b5061383e9a99c39d2,End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, +3a564db6701cc64a4bf336e6012ada0952fed02d,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,India,India,India,20.59368400,78.96288000,edu, +3a564db6701cc64a4bf336e6012ada0952fed02d,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,India,India,India,20.59368400,78.96288000,edu, 3ad2b6c283b1c4687c4f782efb64a209d3cf4cfe,Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 3ad2b6c283b1c4687c4f782efb64a209d3cf4cfe,Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +3a95eea0543cf05670e9ae28092a114e3dc3ab5c,Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +3aee6a6285869e6db48ad269eb110b542ad23c93,One-Click Annotation with Guided Hierarchical Object Detection,India,India,India,20.59368400,78.96288000,edu, 3a3a4408432408b62e2dc22de7820a5a2f7bbe9e,No Spare Parts: Sharing Part Detectors for Image Categorization,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 3a3a4408432408b62e2dc22de7820a5a2f7bbe9e,No Spare Parts: Sharing Part Detectors for Image Categorization,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 3ac0aefb379dedae4a6054e649e98698b3e5fb82,An Occluded Stacked Hourglass Approach to Facial Landmark Localization and Occlusion Estimation,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 3ab93fe26a46f8bc0999e68af71a0907a63a5e65,ESTHER: Extremely Simple Image Translation Through Self-Regularization,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, -3a4a908350d856577ac48caec10c0809e8396acf,"Zero-effort payments: design, deployment, and lessons",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +3a4a908350d856577ac48caec10c0809e8396acf,"Zero-effort payments: design, deployment, and lessons",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +3abfd884d553f91cd6c9c8b704bbeb9b49d171d3,A Hybrid Color Space for Skin Detection Using Genetic Algorithm Heuristic Search and Principal Component Analysis Technique,"Universiti Teknologi Malaysia, Johor Bahru, Malaysia","Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia","Balai Cerap UTM, Lengkok Suria, 81310 Skudai, Johor, Malaysia",1.55841230,103.64050410,edu, 3a345ab83d1bfe4a63d3d44bc4ed243e10255a59,JOANNEUM RESEARCH and Vienna University of Technology at TRECVID 2010,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu, 3a5f5aca6138abcf22ede1af5572e01eb0f761d1,Optimizing Multivariate Performance Measures from Multi-View Data,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +3aa98c08043558fec09bbf731cd7a8f09cf4eacf,Projective Nonnegative Matrix Factorization with α-Divergence,Finland,Finland,Finland,61.92411000,25.74815110,edu, 3ad9f6c1d10a2d1e86c93a4182ee3b260a6f3edd,Object Detection and Tracking in Wide Area Surveillance Using Thermal Imagery,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, 3a0ea368d7606030a94eb5527a12e6789f727994,Categorization by Learning and Combining Object Parts,University of Siena,University of Siena,"大學 University, 澤祥街 Chak Cheung Street, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.41338620,114.21005800,edu, 3aabf747de0a0b4953cb594ddd17ed82fced1ff9,Multispectral Transfer Network: Unsupervised Depth Estimation for All-Day Vision,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, @@ -6169,6 +7522,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 3af8d38469fb21368ee947d53746ea68cd64eeae,Multimodal Intelligent Affect Detection with Kinect ( Doctoral Consortium ),Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, 3af8d38469fb21368ee947d53746ea68cd64eeae,Multimodal Intelligent Affect Detection with Kinect ( Doctoral Consortium ),Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, 3a27d164e931c422d16481916a2fa6401b74bcef,Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +3a92a00b41dc6217f7685148c8a378524fa1a542,Human Pose Estimation Using Exemplars and Part Based Refinement,China,China,China,35.86166000,104.19539700,edu, 3a40059e9dc4b19ae7f49b8746d8dda22456767f,Geometry-Aware Face Completion and Editing,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 3a55188f8ee3abe6d179d16984885be6e3b6daf5,Learning Cross-Modal Deep Representations for Robust Pedestrian Detection,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 3a55188f8ee3abe6d179d16984885be6e3b6daf5,Learning Cross-Modal Deep Representations for Robust Pedestrian Detection,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, @@ -6179,6 +7533,7 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 3ada7640b1c525056e6fcd37eea26cd638815cd6,Abnormal Object Recognition: A Comprehensive Study,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 3ada7640b1c525056e6fcd37eea26cd638815cd6,Abnormal Object Recognition: A Comprehensive Study,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 3a1c3307f57ef09577ac0dc8cd8b090a4fe8091f,Thermal-to-visible face recognition using partial least squares.,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +3af16b0c1265cc9c8969f9c16ce65185297a2bfc,Regularizing Deep Networks by Modeling and Predicting Label Structure,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 3a888bf996bcac3feb7e130543df9ec8287db515,End-to-End Learning of Driving Models from Large-Scale Video Datasets,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 3a307b7e2e742dd71b6d1ca7fde7454f9ebd2811,Bilinear CNN Models for Fine-Grained Visual Recognition,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 3ac78d0fd4f0c01650277bb25eab6957d4eeb655,Multimodal Memory Modelling for Video Captioning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -6191,25 +7546,36 @@ fed58c1faf9af15e1215e47a432f84b840f42857,Input Reconstruction Side and top down 3aa0c5c5cb5faf3c9f3c4694bf5f486d1ea0e351,Easytoon: an easy and quick tool to personalize a cartoon storyboard using family photo album,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 3aa0c5c5cb5faf3c9f3c4694bf5f486d1ea0e351,Easytoon: an easy and quick tool to personalize a cartoon storyboard using family photo album,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 3aea679168c72c6df7ead45d4f7f1fd7f3680a11,Towards Accurate Multi-person Pose Estimation in the Wild,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA" +3ac09c2589178dac0b6a2ea2edf04b7629672d81,Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3a4779f3f73d2ebfaccbc0dad0bdbf7ac0570c0d,Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3a53bad58f8467092477857ff9c2ae904d7108d2,Simultaneous perceptual and response biases on sequential face attractiveness judgments.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 3a53bad58f8467092477857ff9c2ae904d7108d2,Simultaneous perceptual and response biases on sequential face attractiveness judgments.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, b534163cf101520e0868c46a754748fd0e4e0ef9,Multiple-Shot Person Re-identification via Riemannian Discriminative Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +b534163cf101520e0868c46a754748fd0e4e0ef9,Multiple-Shot Person Re-identification via Riemannian Discriminative Learning,China,China,China,35.86166000,104.19539700,edu, b534163cf101520e0868c46a754748fd0e4e0ef9,Multiple-Shot Person Re-identification via Riemannian Discriminative Learning,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +b534163cf101520e0868c46a754748fd0e4e0ef9,Multiple-Shot Person Re-identification via Riemannian Discriminative Learning,China,China,China,35.86166000,104.19539700,edu, b56e4f61bfd6da098941d2aee8a3ab1221ce834a,Augmented Reality Meets Deep Learning for Car Instance Segmentation in Urban Scenes,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, b5184bd428b9a89255900dce50b4320741706744,Discovering Disentangled Representations with the F Statistic Loss,"University of Colorado, Boulder","University of Colorado, Boulder","Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA",40.01407945,-105.26695944,edu, b59df3832c3914c9aefc7f11017360a24bd11480,Identifying First-Person Camera Wearers in Third-Person Videos,Indiana University Bloomington,Indiana University Bloomington,"Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA",39.17720475,-86.51540030,edu, b59df3832c3914c9aefc7f11017360a24bd11480,Identifying First-Person Camera Wearers in Third-Person Videos,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, +b501361ad3ad4f78a3966830a40d2b4f68466c80,Night-time Vehicle Detection for Automatic Headlight Beam Control,India,India,India,20.59368400,78.96288000,edu, b5e3beb791cc17cdaf131d5cca6ceb796226d832,Novel Dataset for Fine-Grained Image Categorization : Stanford Dogs,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, b5c945e04cdf204358e7964290867b38435ef458,Sliding-Window Optimization on an Ambiguity-Clearness Graph for Multi-object Tracking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, b5968e7bb23f5f03213178c22fd2e47af3afa04c,Multiple-Human Parsing in the Wild,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, b5968e7bb23f5f03213178c22fd2e47af3afa04c,Multiple-Human Parsing in the Wild,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, b5b620774304e6245a660b14c1207386d3abad17,SketchNet: Sketch Classification with Web Images,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, b5b620774304e6245a660b14c1207386d3abad17,SketchNet: Sketch Classification with Web Images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +b54c477885d53a27039c81f028e710ca54c83f11,Semi-Supervised Kernel Mean Shift Clustering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b56530be665b0e65933adec4cc5ed05840c37fc4,Reducing correspondence ambiguity in loosely labeled training data,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu, +b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,China,China,China,35.86166000,104.19539700,edu, +b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,China,China,China,35.86166000,104.19539700,edu, +b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,China,China,China,35.86166000,104.19539700,edu, +b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,China,China,China,35.86166000,104.19539700,edu, +b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,China,China,China,35.86166000,104.19539700,edu, b5354bcad6c11983f9614546371262c454c994ed,MAXIMUM SIMILARITY BASED FEATURE MATCHING AND ADAPTIVE MULTIPLE KERNEL LEARNING FOR OBJECT RECOGNITION,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, b5354bcad6c11983f9614546371262c454c994ed,MAXIMUM SIMILARITY BASED FEATURE MATCHING AND ADAPTIVE MULTIPLE KERNEL LEARNING FOR OBJECT RECOGNITION,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, b5c749f98710c19b6c41062c60fb605e1ef4312a,Evaluating Two-Stream CNN for Video Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +b54f15a02d8454333ca7dbca665f7712572b56e0,Role Playing Learning for Socially Concomitant Mobile Robot Navigation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b56ffd4b244b2c3094cdb930ee569fb4e3bd95f0,SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, b56ffd4b244b2c3094cdb930ee569fb4e3bd95f0,SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, b51b4ef97238940aaa4f43b20a861eaf66f67253,Unsupervised Modeling of Objects and Their Hierarchical Contextual Interactions,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -6222,10 +7588,16 @@ b5930275813a7e7a1510035a58dd7ba7612943bc,Face Recognition Using L-Fisherfaces,Sh b593f13f974cf444a5781bbd487e1c69e056a1f7,Query Image Query Image Retrievals Retrievals Transferred Poses Transferred Poses,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, b5da4943c348a6b4c934c2ea7330afaf1d655e79,Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, b5da4943c348a6b4c934c2ea7330afaf1d655e79,Facial Landmarks Detection by Self-Iterative Regression Based Landmarks-Attention Network,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, +b5a8c7edb2ed81ae415b231b975c205e5c4c08da,The Dynamic Features of Lip Corners in Genuine and Posed Smiles,China,China,China,35.86166000,104.19539700,edu, +b5a8c7edb2ed81ae415b231b975c205e5c4c08da,The Dynamic Features of Lip Corners in Genuine and Posed Smiles,China,China,China,35.86166000,104.19539700,edu, +b5a8c7edb2ed81ae415b231b975c205e5c4c08da,The Dynamic Features of Lip Corners in Genuine and Posed Smiles,China,China,China,35.86166000,104.19539700,edu, b5a8c7edb2ed81ae415b231b975c205e5c4c08da,The Dynamic Features of Lip Corners in Genuine and Posed Smiles,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu, +b5a8c7edb2ed81ae415b231b975c205e5c4c08da,The Dynamic Features of Lip Corners in Genuine and Posed Smiles,China,China,China,35.86166000,104.19539700,edu, b56f3a7c50bfcd113d0ba84e6aa41189e262d7ae,Harvesting Motion Patterns in Still Images from the Internet,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, b59cee1f647737ec3296ccb3daa25c890359c307,Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, b53259a81dcfa9913495bb47f62627c51e20f086,DYAN: A Dynamical Atoms-Based Network for Video Prediction,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +b50f2ad8d7f08f99d4ba198120120f599f98095e,Spatiotemporal data fusion for precipitation nowcasting,Russia,Russia,Russia,61.52401000,105.31875600,edu, +b50f2ad8d7f08f99d4ba198120120f599f98095e,Spatiotemporal data fusion for precipitation nowcasting,Russia,Russia,Russia,61.52401000,105.31875600,edu, b5bd67ada6de799d96f65ef0f1b6ba1cb85e3dd8,Residual Codean Autoencoder for Facial Attribute Analysis,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, b5ebfb763053d3a66e6a4f36ed443dc4ab5ac877,Unsupervised Learning of Important Objects from First-Person Videos,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, b5d7c5aba7b1ededdf61700ca9d8591c65e84e88,Data Pruning for Template-based Automatic Speech Recognition,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu, @@ -6234,25 +7606,39 @@ b52c0faba5e1dc578a3c32a7f5cfb6fb87be06ad,Robust Face Recognition Technique under b59c8b44a568587bc1b61d130f0ca2f7a2ae3b88,An Enhanced Intelligent Agent with Image Description Generation,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, b5c90dc06b63099c3d35c86c97fa24ebf9d41fb6,Learning to Classify Psychiatric Disorders based on fMR Images : Autism vs Healthy and ADHD vs Healthy,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, b5c90dc06b63099c3d35c86c97fa24ebf9d41fb6,Learning to Classify Psychiatric Disorders based on fMR Images : Autism vs Healthy and ADHD vs Healthy,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, +b5050d74dd8f0384506bcd365b31044c80d476c0,Discriminative Multimetric Learning for Kinship Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b5f2846a506fc417e7da43f6a7679146d99c5e96,UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, b5fabc72ecdebd832fb02f1ea2e85672f2ef125e,Bregman Divergences for Infinite Dimensional Covariance Matrices,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +b5fabc72ecdebd832fb02f1ea2e85672f2ef125e,Bregman Divergences for Infinite Dimensional Covariance Matrices,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, b5402c03a02b059b76be829330d38db8e921e4b5,Hybridized KNN and SVM for gene expression data classification,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu, +b55489547790f7fb2c8b4689530b5660fbc8ee64,Face Scanning in Autism Spectrum Disorder and Attention Deficit/Hyperactivity Disorder: Human Versus Dog Face Scanning,India,India,India,20.59368400,78.96288000,edu, +b55489547790f7fb2c8b4689530b5660fbc8ee64,Face Scanning in Autism Spectrum Disorder and Attention Deficit/Hyperactivity Disorder: Human Versus Dog Face Scanning,India,India,India,20.59368400,78.96288000,edu, d7ebd31d4616c297292a36785727f1bc5b470290,Sensitivity to eye gaze in autism: is it normal? Is it automatic? Is it social?,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, d75a9e646500d543094f7c0ab80c9f5c30808304,Features for Multi-Target Multi-Camera Tracking and Re-Identification,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, d7a042c4db29e233861bc556fd763ca608ae078c,Multi-view object instance recognition in an industrial context,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, d7221695df4de3f34d5e4a877b71c14bc88760d2,Proposal Incorporating Structural Bias into Neural Networks,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +d7d90d768c4770c356901f20077af9ad27efdfd0,Real-time dense map fusion for stereo SLAM,University of Zaragoza,"University of Zaragoza, Spain","Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain",41.64206390,-0.90150650,edu, d78fbd11f12cbc194e8ede761d292dc2c02d38a2,Enhancing Gray Scale Images for Face Detection under Unstable Lighting Condition,University of Dschang,University of Dschang,"Université de Dschang, Départementale 65, Fokoué, Menoua, OU, Cameroun",5.44094480,10.07120561,edu, d78fbd11f12cbc194e8ede761d292dc2c02d38a2,Enhancing Gray Scale Images for Face Detection under Unstable Lighting Condition,University of Dschang,University of Dschang,"Université de Dschang, Départementale 65, Fokoué, Menoua, OU, Cameroun",5.44094480,10.07120561,edu, +d7453fa0c70a15681e76b509fff6e1dd49f5a4a5,Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks,India,India,India,20.59368400,78.96288000,edu, +d7fe2a52d0ad915b78330340a8111e0b5a66513a,Photo-to-Caricature Translation on Faces in the Wild,China,China,China,35.86166000,104.19539700,edu, d73d2c9a6cef79052f9236e825058d5d9cdc1321,Cutting the visual world into bigger slices for improved video concept detection. (Amélioration de la détection des concepts dans les vidéos en coupant de plus grandes tranches du monde visuel),EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, d7ed61f57d26c192a75d088854d937d549efa37c,A Multi-Layer Approach to Superpixel-based Higher-order Conditional Random Field for Semantic Image Segmentation,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, d737b6f014301182e05738eac94fb97ff6a65da0,SEGCloud: Semantic Segmentation of 3D Point Clouds,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, d7c9bd2587204071b87feaad01d631e7ea591c6b,TRECVID 2017 : VIDEO TO TEXT RETRIEVAL,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, d7cbedbee06293e78661335c7dd9059c70143a28,MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +d7cbedbee06293e78661335c7dd9059c70143a28,MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices,China,China,China,35.86166000,104.19539700,edu, +d7cbedbee06293e78661335c7dd9059c70143a28,MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices,China,China,China,35.86166000,104.19539700,edu, d74e14de664be4b784813d93e260abe379e2602d,Supplementary Material for : Video Prediction with Appearance and Motion Conditions,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +d7731565ec4cb1b910290ccb580405cb55224286,Robust Face Recognition via Adaptive Sparse Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +d73221adda13a99e8dd8dab101abcfeae6b7b706,The ApolloScape Dataset for Autonomous Driving,China,China,China,35.86166000,104.19539700,edu, +d73221adda13a99e8dd8dab101abcfeae6b7b706,The ApolloScape Dataset for Autonomous Driving,China,China,China,35.86166000,104.19539700,edu, d7d9c1fa77f3a3b3c2eedbeb02e8e7e49c955a2f,Automating Image Analysis by Annotating Landmarks with Deep Neural Networks,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, d7d9c1fa77f3a3b3c2eedbeb02e8e7e49c955a2f,Automating Image Analysis by Annotating Landmarks with Deep Neural Networks,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, d72973a72b5d891a4c2d873daeb1bc274b48cddf,A New Supervised Dimensionality Reduction Algorithm Using Linear Discriminant Analysis and Locality Preserving Projection,Guangdong Medical College,Guangdong Medical College,"医学院, 真如路, 凤凰新村, 天河区, 广州市, 广东省, 510635, 中国",23.12944890,113.34376110,edu, +d72973a72b5d891a4c2d873daeb1bc274b48cddf,A New Supervised Dimensionality Reduction Algorithm Using Linear Discriminant Analysis and Locality Preserving Projection,China,China,China,35.86166000,104.19539700,edu, d72973a72b5d891a4c2d873daeb1bc274b48cddf,A New Supervised Dimensionality Reduction Algorithm Using Linear Discriminant Analysis and Locality Preserving Projection,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, +d72973a72b5d891a4c2d873daeb1bc274b48cddf,A New Supervised Dimensionality Reduction Algorithm Using Linear Discriminant Analysis and Locality Preserving Projection,China,China,China,35.86166000,104.19539700,edu, d7431a266a151fb92abb7ff93fd458f21c6c3c41,Probabilistic sequence models for image sequence processing and recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, d7f11ebb73bfe74a57c33f7e75f7981ad9385580,Real-Time Resource Allocation for Tracking Systems,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, d7f11ebb73bfe74a57c33f7e75f7981ad9385580,Real-Time Resource Allocation for Tracking Systems,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -6274,11 +7660,13 @@ d7d01406bf8bec7e48b70e886d93e935b8885815,The perception of emotion in artificial d7d01406bf8bec7e48b70e886d93e935b8885815,The perception of emotion in artificial agents,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, d79365336115661b0e8dbbcd4b2aa1f504b91af6,Variational methods for conditional multimodal deep learning,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, d7184f6cd7751fb8398bb06d04490d2bcb74cdff,Disparity and optical flow partitioning using extended Potts priors,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +d79121a03584123fad02c4f2607f0e63d08ff7c2,Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions,China,China,China,35.86166000,104.19539700,edu, d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation for pattern classification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 22f94c43dd8b203f073f782d91e701108909690b,MovieScope : Movie trailer classification using Deep Neural Networks,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, 22db07c472b2d7bc7704b8c2bbd8f620e2e68ca9,MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 2231f44be9a8472a46d8e8a628b4e52b9a8f44e0,Visual Dialog,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 226394b10ef4d1fb1d88791f87a24aedfdb52c31,Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +226394b10ef4d1fb1d88791f87a24aedfdb52c31,Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 226394b10ef4d1fb1d88791f87a24aedfdb52c31,Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, 226394b10ef4d1fb1d88791f87a24aedfdb52c31,Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 22fe619996b59c09cb73be40103a123d2e328111,The German Traffic Sign Recognition Benchmark: A multi-class classification competition,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu, @@ -6293,7 +7681,7 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 220377caca34bed8a0081d48d153aecc11c211e1,Spectral-Pruning: Compressing deep neural network via spectral analysis,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 222db9e290b34ae30c39486697d8e8dac3175770,Stabilizing Training of Generative Adversarial Networks through Regularization,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 222db9e290b34ae30c39486697d8e8dac3175770,Stabilizing Training of Generative Adversarial Networks through Regularization,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, -222db9e290b34ae30c39486697d8e8dac3175770,Stabilizing Training of Generative Adversarial Networks through Regularization,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +222db9e290b34ae30c39486697d8e8dac3175770,Stabilizing Training of Generative Adversarial Networks through Regularization,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 222db9e290b34ae30c39486697d8e8dac3175770,Stabilizing Training of Generative Adversarial Networks through Regularization,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 22a12ec4258f223b43761e5c4729787d1aaa623b,Optimal Bloom Filters and Adaptive Merging for LSM-Trees,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 22a12ec4258f223b43761e5c4729787d1aaa623b,Optimal Bloom Filters and Adaptive Merging for LSM-Trees,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, @@ -6303,6 +7691,7 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 22267d537cbaed08c2005c42f251bb6097aa1505,Hierarchical Grid-based People Tracking with Multi-camera Setup,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 22717ad3ad1dfcbb0fd2f866da63abbde9af0b09,A Learning-based Control Architecture for Socially Assistive Robots Providing Cognitive Interventions,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 22f2f77120cd28e9b2516179239380adef46b1be,Discovering Object Functionality,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +220f6ef6f4bf4729871822e08080142359012e10,IMPLEMENTATION OF AUTOMATIC MULTIPLE PERSON TRACKING SYSTEM WITH OPEN CV ON BEAGLE BOARD,India,India,India,20.59368400,78.96288000,edu, 220f6ef6f4bf4729871822e08080142359012e10,IMPLEMENTATION OF AUTOMATIC MULTIPLE PERSON TRACKING SYSTEM WITH OPEN CV ON BEAGLE BOARD,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, 22dc91889312e796ad36b363bc5ed959714e4694,Deep Di erential Recurrent Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 22dc91889312e796ad36b363bc5ed959714e4694,Deep Di erential Recurrent Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, @@ -6317,6 +7706,9 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 22f71559c88fe32b405a6fedf7ee099c32d9377e,Causal and compositional generative models in online perception,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 22f71559c88fe32b405a6fedf7ee099c32d9377e,Causal and compositional generative models in online perception,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, 22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b,A Database for Person Re-Identification in Multi-Camera Surveillance Networks,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, +22646e00a7ba34d1b5fbe3b1efcd91a1e1be3c2b,A Database for Person Re-Identification in Multi-Camera Surveillance Networks,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu, +220d62414053519f7b9a6aecb4aa9f775014c98c,Incremental Feature Transformation for Temporal Space,India,India,India,20.59368400,78.96288000,edu, +220d62414053519f7b9a6aecb4aa9f775014c98c,Incremental Feature Transformation for Temporal Space,India,India,India,20.59368400,78.96288000,edu, 22f21a5b230d6bcc2c4ab4e4d5ae57a20f09f348,How do we use our hands? Discovering a diverse set of common grasps,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 22bc12fb82db4c5a5f52bd1ba70e25ffac94f428,Transfer learning for object category detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 22f21d58c6aecdb4f57c50fa9eb4952643eec0e9,Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera Label Information,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, @@ -6324,7 +7716,9 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 22f44121a6de3ff942c5fbf4ab1d6734315baf66,Sensor-assisted facial recognition: an enhanced biometric authentication system for smartphones,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, 22f44121a6de3ff942c5fbf4ab1d6734315baf66,Sensor-assisted facial recognition: an enhanced biometric authentication system for smartphones,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, 22143664860c6356d3de3556ddebe3652f9c912a,Facial Expression Recognition for Human-Robot Interaction - A Prototype,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +224868cc607dc38b7eca8536018580c577f9fedf,Exploring Temporal Patterns in Classifying Frustrated and Delighted Smiles,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 227cef669b362a7756564519be22c7d060348f66,Factors in Finetuning Deep Model for Object Detection with Long-Tail Distribution,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +227cef669b362a7756564519be22c7d060348f66,Factors in Finetuning Deep Model for Object Detection with Long-Tail Distribution,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, 221c9fff1c25368a6b72ca679c67a3d6b35e2c00,Memory-based face recognition for visitor identification,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 2298a1e437b4f8f2f2f016f1a98c027bf2f7f5bb,Top-Down Neural Attention by Excitation Backprop,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 22c169fa05a0d5710bc111e451161e9d9141c29d,A Novel Inference of a Restricted Boltzmann Machine,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, @@ -6339,9 +7733,23 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 221c18238b829c12b911706947ab38fd017acef7,A Richly Annotated Dataset for Pedestrian Attribute Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 221c18238b829c12b911706947ab38fd017acef7,A Richly Annotated Dataset for Pedestrian Attribute Recognition,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 2288696b6558b7397bdebe3aed77bedec7b9c0a9,Action Recognition with Joint Attention on Multi-Level Deep Features,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +2288696b6558b7397bdebe3aed77bedec7b9c0a9,Action Recognition with Joint Attention on Multi-Level Deep Features,China,China,China,35.86166000,104.19539700,edu, 22493d8d4d7b4604cae23638dce4981b36e30147,Learning an Image-Based Motion Context for Multiple People Tracking,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 2297ead8a0000dab33ebc73b7d5781b3258322b6,Classifying and Visualizing Emotions with Emotional DAN,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 2227f978f084ebb18cb594c0cfaf124b0df6bf95,Pillar Networks for action recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +2236294e803316c5934fa387f27d128fa7819a03,Iterative Human Pose Estimation based on A New Part Appearance Model,China,China,China,35.86166000,104.19539700,edu, 228c28bd18a2d58cd771a75e8718b14dc32051e0,An effective neutrosophic set-based preprocessing method for face recognition,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu, 2271d554787fdad561fafc6e9f742eea94d35518,Multimodale Mensch-Roboter-Interaktion für Ambient Assisted Living,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 2281d8282dc6315eaa5c31821310c1a349ea18b0,Fast Efficient Object Detection Using Selective Attention,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, @@ -6350,12 +7758,23 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 2281d8282dc6315eaa5c31821310c1a349ea18b0,Fast Efficient Object Detection Using Selective Attention,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 221252be5d5be3b3e53b3bbbe7a9930d9d8cad69,Do We Need More Training Data or Better Models for Object Detection?,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 22a5c5b366e56339b34a66ce2a4a106592656e40,A model of dynamic compilation for heterogeneous compute platforms,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +224547337e1ace6411a69c2e06ce538bc67923f7,Convolutional Neural Network for Camera Pose Estimation from Object Detections,Russia,Russia,Russia,61.52401000,105.31875600,edu, +224547337e1ace6411a69c2e06ce538bc67923f7,Convolutional Neural Network for Camera Pose Estimation from Object Detections,Russia,Russia,Russia,61.52401000,105.31875600,edu, +22029de24dbf6867658145264f36b161c40a09d8,A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 228db5326a10cd67605ce103a7948207a65feeb1,Stacked Attention Networks for Image Question Answering,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7c62f5e4a62758f44bd98f087f92b6b6b1f2043b,Combination features and models for human detection,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 7cf001f745f3020dfc75cc34352d5bc71e552093,"The more you learn , the less you store : memory-controlled incremental support vector machines",IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +7c1e1c767f7911a390d49bed4f73952df8445936,Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA),Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7c1e1c767f7911a390d49bed4f73952df8445936,Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA),Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7cee2a2bee27657e6599b13f9ed6536d5f46fd0a,A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery,China,China,China,35.86166000,104.19539700,edu, +7cee2a2bee27657e6599b13f9ed6536d5f46fd0a,A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery,China,China,China,35.86166000,104.19539700,edu, 7c2c9b083817f7a779d819afee383599d2e97ed8,"Disentangling Motion, Foreground and Background Features in Videos",Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +7c2c9b083817f7a779d819afee383599d2e97ed8,"Disentangling Motion, Foreground and Background Features in Videos",China,China,China,35.86166000,104.19539700,edu, 7c2c9b083817f7a779d819afee383599d2e97ed8,"Disentangling Motion, Foreground and Background Features in Videos",Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" 7c9f884137a22c3bb5cefcd7dfc55e3a83979771,Person tracking-by-detection with efficient selection of part-detectors,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +7c9d8593cdf2f8ba9f27906b2b5827b145631a0b,MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation,China,China,China,35.86166000,104.19539700,edu, +7c9d8593cdf2f8ba9f27906b2b5827b145631a0b,MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation,China,China,China,35.86166000,104.19539700,edu, +7c9d8593cdf2f8ba9f27906b2b5827b145631a0b,MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation,China,China,China,35.86166000,104.19539700,edu, 7c36afc9828379de97f226e131390af719dbc18d,Unsupervised face-name association via commute distance,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 7c36afc9828379de97f226e131390af719dbc18d,Unsupervised face-name association via commute distance,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 7c7fb5c70bdabe8442c46c791fb2db00c490410b,Human Face Recognition using Gabor Based Kernel Entropy Component Analysis,"Indian Statistical Institute, Kolkata","Indian Statistical Institute, Kolkata","Plot No. 203, Barrackpore Trunk Road, Baranagar, Kolkata, West Bengal 700108, India",22.64815210,88.37681700,edu, @@ -6369,22 +7788,31 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 7ca08c7a1b61258a8f36435be7a96abde64be081,Focal Visual-Text Attention for Visual Question Answering,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7c5dde400571fd357d1093e1829a8bd7917d8fcd,Retrospective Higher-Order Markov Processes for User Trails,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 7c5dde400571fd357d1093e1829a8bd7917d8fcd,Retrospective Higher-Order Markov Processes for User Trails,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +7c0f7d47da05a41e8671b059ade70dd2df7070db,Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS,India,India,India,20.59368400,78.96288000,edu, +7c0f7d47da05a41e8671b059ade70dd2df7070db,Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS,India,India,India,20.59368400,78.96288000,edu, 7c02a578734af8008177bb3f27549198b2503178,Segmenting video into classes of algorithm-suitability,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 7c87f445a15597f603756587e0f9b8cf4d942ecc,Analysis of Sampling Techniques for Learning Binarized Statistical Image Features Using Fixations and Salience,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 7cdd8c0f3c672000506696a6f8b96b9a99e778ae,Video Monitoring and Analysis of Human Behavior for Diagnosis of Obstructive Sleep Apnoea,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu, 7c4b406159e0bd41cf97a1094ae6b44937de477a,Robust Active Appearance Models with Iteratively Rescaled Kernels,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 7cf0e702d0682b12af38e8a478ffa6e7d8d6eaef,Semi-Automatic Image Annotation Using Event and Torso Identification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 7cf0e702d0682b12af38e8a478ffa6e7d8d6eaef,Semi-Automatic Image Annotation Using Event and Torso Identification,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, +7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 7cf8440b1c02c021f6ba8543ad490b4788bbe280,"Unsupervised Decoding of Long-Term, Naturalistic Human Neural Recordings with Automated Video and Audio Annotations",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 7cab6a3247f56e0e2fc38133ea0fb89c48dadda7,Spatiotemporal Modeling for Crowd Counting in Videos,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, +7c47da191f935811f269f9ba3c59556c48282e80,Robust eye centers localization with zero-crossing encoded image projections,Romania,Romania,Romania,45.94316100,24.96676000,edu, +7c47da191f935811f269f9ba3c59556c48282e80,Robust eye centers localization with zero-crossing encoded image projections,Romania,Romania,Romania,45.94316100,24.96676000,edu, +7c47da191f935811f269f9ba3c59556c48282e80,Robust eye centers localization with zero-crossing encoded image projections,Romania,Romania,Romania,45.94316100,24.96676000,edu, 7c9622ad1d8971cd74cc9e838753911fe27ccac4,Representation Learning with Smooth Autoencoder,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 7ca7255c2e0c86e4adddbbff2ce74f36b1dc522d,Stereo Matching for Unconstrained Face Recognition Ph . D . Proposal,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 7c2f6424b0bb2c28f282fbc0b4e98bf85d5584eb,Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 7c2f6424b0bb2c28f282fbc0b4e98bf85d5584eb,Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +7c2f6424b0bb2c28f282fbc0b4e98bf85d5584eb,Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection,China,China,China,35.86166000,104.19539700,edu, +7c0a6824b556696ad7bdc6623d742687655852db,MPCA+MDA: A novel approach for face recognition based on tensor objects,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7c1db13ae2c62d1f860fd2664885c9c93a28cab8,Multistage Particle Windows for Fast and Accurate Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7c0da0fe4d2f29b901d9edd74b2dc753e68abccd,Centering SVDD for Unsupervised Feature Representation in Object Classification,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 7c428ce264662bceae0b78f915d4d4797a2492f2,Transductive Unbiased Embedding for Zero-Shot Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 7c428ce264662bceae0b78f915d4d4797a2492f2,Transductive Unbiased Embedding for Zero-Shot Learning,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, @@ -6396,18 +7824,23 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 7c132e0a2b7e13c78784287af38ad74378da31e5,Salient Parts based Multi-people Tracking,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 7cd3062284a9f93df05cb11161d16114be945a5b,Deep Spatiotemporal Representation of the Face for Automatic Pain Intensity Estimation,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 7cd097f3866d56114c1778c0d9ac1c4a9a35cff9,MODELLING MULTI-OBJECT ACTIVITY BY GAUSSIAN PROCESSES 3 2 Activity Modelling and Anomaly Detection 2 . 1 Activity Representation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +7cd5d849212c294c452be009ff465ca7d3d923c8,A Brief Survey of Face Recognition Techniques,India,India,India,20.59368400,78.96288000,edu, 7c45339253841b6f0efb28c75f2c898c79dfd038,Unsupervised Joint Alignment of Complex Images,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, +7c119e6bdada2882baca232da76c35ae9b5277f8,Facial expression recognition using embedded Hidden Markov Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7c119e6bdada2882baca232da76c35ae9b5277f8,Facial expression recognition using embedded Hidden Markov Model,China,China,China,35.86166000,104.19539700,edu, 7c0bd7ce51c62671d5ffc1506786b0b7861ce00a,Utility-based acceleration of multithreaded applications on asymmetric CMPs,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 7c0bd7ce51c62671d5ffc1506786b0b7861ce00a,Utility-based acceleration of multithreaded applications on asymmetric CMPs,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7cd5d7f8295b219b029a4231ae5cffb261e00ebe,Early Active Learning with Pairwise Constraint for Person Re-identification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 7cd5d7f8295b219b029a4231ae5cffb261e00ebe,Early Active Learning with Pairwise Constraint for Person Re-identification,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7cffcb4f24343a924a8317d560202ba9ed26cd0b,The unconstrained ear recognition challenge,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, +7cffcb4f24343a924a8317d560202ba9ed26cd0b,The unconstrained ear recognition challenge,India,India,India,20.59368400,78.96288000,edu, 7cffcb4f24343a924a8317d560202ba9ed26cd0b,The unconstrained ear recognition challenge,"University of Colorado, Colorado Springs",University of Colorado Colorado Springs,"Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA",38.89207560,-104.79716389,edu, 7cffcb4f24343a924a8317d560202ba9ed26cd0b,The unconstrained ear recognition challenge,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 7cffcb4f24343a924a8317d560202ba9ed26cd0b,The unconstrained ear recognition challenge,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 7c2ec6f4ab3eae86e0c1b4f586e9c158fb1d719d,Dissimilarity-Based Classifications in Eigenspaces,Myongji University,Myongji University,"명지대, 금학로, 역북동, 처인구, 용인시, 경기, 17144, 대한민국",37.23810230,127.19034310,edu, 7c953868cd51f596300c8231192d57c9c514ae17,Detecting and Aligning Faces by Image Retrieval,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, -7c7ab59a82b766929defd7146fd039b89d67e984,Improving multiview face detection with multi-task deep convolutional neural networks,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +7c7ab59a82b766929defd7146fd039b89d67e984,Improving multiview face detection with multi-task deep convolutional neural networks,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +7cee802e083c5e1731ee50e731f23c9b12da7d36,2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks,India,India,India,20.59368400,78.96288000,edu, 7cf8a841aad5b7bdbea46a7bb820790e9ce12d0b,SUPERVISED HEAT KERNEL LPP METHOD FOR FACE RECOGNITION,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu, 7c81338ed0f8c6354c27cafe873b58ae7be76d19,Depth Information Guided Crowd Counting for Complex Crowd Scenes.,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu, 7c81338ed0f8c6354c27cafe873b58ae7be76d19,Depth Information Guided Crowd Counting for Complex Crowd Scenes.,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -6420,10 +7853,15 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 7c622df16f06d9f1c1af7262e91c54906e1b7e0e,Locating Facial Features and Pose Estimation Using a 3D Shape Model,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 7cb5a4b88235250424e4b7450e22140dac9ba535,Motion Segmentation by Exploiting Complementary Geometric Models,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 7cb5a4b88235250424e4b7450e22140dac9ba535,Motion Segmentation by Exploiting Complementary Geometric Models,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +7cb569246ade0393a0ccf2cd0f9fd01921569ecd,An Exploratory Survey on Various Face Recognition Methods Using Component Analysis,India,India,India,20.59368400,78.96288000,edu, +7cb569246ade0393a0ccf2cd0f9fd01921569ecd,An Exploratory Survey on Various Face Recognition Methods Using Component Analysis,India,India,India,20.59368400,78.96288000,edu, +7cb569246ade0393a0ccf2cd0f9fd01921569ecd,An Exploratory Survey on Various Face Recognition Methods Using Component Analysis,India,India,India,20.59368400,78.96288000,edu, 7cf95b9923e741eed2c7988d7321fa1044415d57,Face Hallucination and Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 7c825562b3ff4683ed049a372cb6807abb09af2a,Finding Tiny Faces Supplementary Materials,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 7c825562b3ff4683ed049a372cb6807abb09af2a,Finding Tiny Faces Supplementary Materials,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 51f5e7b847e65a4cd0634ed9efc6b19819742b70,End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +51f5e7b847e65a4cd0634ed9efc6b19819742b70,End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images,China,China,China,35.86166000,104.19539700,edu, +51f5e7b847e65a4cd0634ed9efc6b19819742b70,End-to-End Airplane Detection Using Transfer Learning in Remote Sensing Images,China,China,China,35.86166000,104.19539700,edu, 517e5e6d8e17511fd74fc58ef53bdd57bb7b4651,TallyQA: Answering Complex Counting Questions,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 51faacfa4fb1e6aa252c6970e85ff35c5719f4ff,Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 51faacfa4fb1e6aa252c6970e85ff35c5719f4ff,Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -6433,16 +7871,21 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 5191781bbfe562cfee0c57675a9fbe79a85473b9,Face Flow,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 51cb2116c5a32d076f54b1a192cf4e850390f665,On Machine Learning and Structure for Mobile Robots,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 519a724426b5d9ad384d38aaf2a4632d3824f243,Learning Models for Object Recognition from Natural Language Descriptions,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu, +519f4eb5fe15a25a46f1a49e2632b12a3b18c94d,Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +519f4eb5fe15a25a46f1a49e2632b12a3b18c94d,Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 516668a41d6106232a7cd56d20d3b3da343e5f36,Predicting Deeper into the Future of Semantic Segmentation,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, +513d9d0fdc9efa0f042ed1a3c8eab1fbb564f67b,Efficient Processing of Deep Neural Networks: A Tutorial and Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 51972609a7c0070bf517c29f108f3e7240b94e59,3D extended histogram of oriented gradients (3DHOG) for classification of road users in urban scenes,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu, 51d048b92f6680aca4a8adf07deb380c0916c808,"State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications",Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 51d048b92f6680aca4a8adf07deb380c0916c808,"State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +51d048b92f6680aca4a8adf07deb380c0916c808,"State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications",Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 51e9630e2d3f353d43834d06ef5b75fbccf0243a,Random Forests of Local Experts for Pedestrian Detection,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 51eba481dac6b229a7490f650dff7b17ce05df73,Situation Recognition: Visual Semantic Role Labeling for Image Understanding,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 51cb09ee04831b95ae02e1bee9b451f8ac4526e3,Beyond short snippets: Deep networks for video classification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 51cb09ee04831b95ae02e1bee9b451f8ac4526e3,Beyond short snippets: Deep networks for video classification,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 51cb09ee04831b95ae02e1bee9b451f8ac4526e3,Beyond short snippets: Deep networks for video classification,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA" 512b4c8f0f3fb23445c0c2dab768bcd848fa8392,Analysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model,University of Tabriz,University of Tabriz,"دانشگاه تبریز, شهید ایرج خلوتی, کوی انقلاب, تبریز, بخش مرکزی, شهرستان تبریز, استان آذربایجان شرقی, 5166616471, ‏ایران‎",38.06125530,46.32984840,edu, +512b4c8f0f3fb23445c0c2dab768bcd848fa8392,Analysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model,Tarbiat Modarres University,"Tarbiat Modarres University, Tehran, Iran","Tehran Province, Tehran, Al Ahmad Street, No. 7، Jalal، Iran",35.72324230,51.38401980,edu, 512f7507034e35d7259845bc5e4e174ef2f652cf,SPIGAN: Privileged Adversarial Learning from Simulation,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, 512f7507034e35d7259845bc5e4e174ef2f652cf,SPIGAN: Privileged Adversarial Learning from Simulation,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, 512f7507034e35d7259845bc5e4e174ef2f652cf,SPIGAN: Privileged Adversarial Learning from Simulation,Toyota Research Institute,Toyota Research Institute,"Toyota Research Institute, 4440, West El Camino Real, Los Altos, Santa Clara County, California, 94022, USA",37.40253645,-122.11655107,edu, @@ -6457,7 +7900,7 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 516d0d9eb08825809e4618ca73a0697137ebabd5,Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, 5147c249aadf9dd20d24a025995e79f5d6e4e5f4,Systems Analysis of the WEKA Machine Learning Workbench for Affective Computing,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 5134353bd01c4ea36bd007c460e8972b1541d0ad,Face Recognition with Multi-Resolution Spectral Feature Images,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, -5134353bd01c4ea36bd007c460e8972b1541d0ad,Face Recognition with Multi-Resolution Spectral Feature Images,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, +5134353bd01c4ea36bd007c460e8972b1541d0ad,Face Recognition with Multi-Resolution Spectral Feature Images,China,China,China,35.86166000,104.19539700,edu, 5134353bd01c4ea36bd007c460e8972b1541d0ad,Face Recognition with Multi-Resolution Spectral Feature Images,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 51ed4c92cab9336a2ac41fa8e0293c2f5f9bf3b6,"A survey of face detection, extraction and recognition",Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 512befa10b9b704c9368c2fbffe0dc3efb1ba1bf,Evidence and a computational explanation of cultural differences in facial expression recognition.,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, @@ -6465,6 +7908,7 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 512befa10b9b704c9368c2fbffe0dc3efb1ba1bf,Evidence and a computational explanation of cultural differences in facial expression recognition.,Kogakuin University,Kogakuin University,"工学院大学, 東通り, 新宿区, 東京都, 関東地方, 163-8677, 日本",35.69027840,139.69540096,edu, 512befa10b9b704c9368c2fbffe0dc3efb1ba1bf,Evidence and a computational explanation of cultural differences in facial expression recognition.,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 512befa10b9b704c9368c2fbffe0dc3efb1ba1bf,Evidence and a computational explanation of cultural differences in facial expression recognition.,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +519db7bb7d1778bddfbe3725220756627373d69a,A Comparative Study of Local Matching Approach for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 510d2879c03a2a0fa01ac6d6b95eb1067f2d1bf9,Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, 510d2879c03a2a0fa01ac6d6b95eb1067f2d1bf9,Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 510d2879c03a2a0fa01ac6d6b95eb1067f2d1bf9,Multimodal Hierarchical Reinforcement Learning Policy for Task-Oriented Visual Dialog,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, @@ -6478,18 +7922,27 @@ d7f5f0066cecaf8760433e7dfb0eaaaf61aa6ef6,Relaxed collaborative representation fo 518edcd112991a1717856841c1a03dd94a250090,Endogenous Sparse Recovery,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu, 518edcd112991a1717856841c1a03dd94a250090,Endogenous Sparse Recovery,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 516f5becd2b673b349e0232732989e1db6db29b0,Micro-Expression Spotting: A Benchmark,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +5157dde17a69f12c51186ffc20a0a6c6847f1a29,Evolutionary Cost-sensitive Extreme Learning Machine and Subspace Extension,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5173a20304ea7baa6bfe97944a5c7a69ea72530f,Best Basis Selection Method Using Learning Weights for Face Recognition,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +516a27d5dd06622f872f5ef334313350745eadc3,Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +517cc1084952133b6d2ecd0a535cdc3ddf8955d7,A Graphical Social Topology Model for Multi-Object Tracking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +517cc1084952133b6d2ecd0a535cdc3ddf8955d7,A Graphical Social Topology Model for Multi-Object Tracking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 513b8dc73a9fbc467e1ac130fe8c842b5839ca51,Scalable Visual Navigation for Micro Aerial Vehicles using Geometric Prior Knowledge,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 512ef8e228329e02b651e2963260f569a72b4dde,3D Signatures for Fast 3D Face Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 51a8dabe4dae157aeffa5e1790702d31368b9161,Face recognition under generic illumination based on harmonic relighting,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 51683eac8bbcd2944f811d9074a74d09d395c7f3,"Automatic Analysis of Facial Actions : Learning from Transductive , Supervised and Unsupervised Frameworks",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 51683eac8bbcd2944f811d9074a74d09d395c7f3,"Automatic Analysis of Facial Actions : Learning from Transductive , Supervised and Unsupervised Frameworks",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 51683eac8bbcd2944f811d9074a74d09d395c7f3,"Automatic Analysis of Facial Actions : Learning from Transductive , Supervised and Unsupervised Frameworks",Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +5180df9d5eb26283fb737f491623395304d57497,Scalable Angular Discriminative Deep Metric Learning for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 5180df9d5eb26283fb737f491623395304d57497,Scalable Angular Discriminative Deep Metric Learning for Face Recognition,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 51236676c3bba877d82c31b393db1af4846527ac,Improving Sampling from Generative Autoencoders with Markov Chains,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +5161e38e4ea716dcfb554ccb88901b3d97778f64,SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 51273a7abfe2018ccf2789a8e25d0c2ae565bc77,Learning Detailed Face Reconstruction from a Single Image,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +511a8cdf2127ef8aa07cbdf9660fe9e0e2dfbde7,A Community Detection Approach to Cleaning Extremely Large Face Database,China,China,China,35.86166000,104.19539700,edu, 511a8cdf2127ef8aa07cbdf9660fe9e0e2dfbde7,A Community Detection Approach to Cleaning Extremely Large Face Database,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 51c765b8d872c206f6dd781ab26bd5a8c2feb81e,Semantic Image Segmentation via Deep Parsing Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +514fdf2152dda3a39fc05eb6e1c80314837d96a2,Detailed 3D Representations for Object Recognition and Modeling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +514fdf2152dda3a39fc05eb6e1c80314837d96a2,Detailed 3D Representations for Object Recognition and Modeling,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5136f69da8a61447a300a50c67d80d84a31b1257,Deep Association Learning for Unsupervised Video Person Re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 5160569ca88171d5fa257582d161e9063c8f898d,Local binary patterns as an image preprocessing for face authentication,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, dd096d3cac4a9f26d38e135f803621d932c84f83,Hallucinating very low-resolution and obscured face images,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, @@ -6497,14 +7950,19 @@ dd7875abad93418e275825116e029766ada9b9c6,Kinect-based automatic 3D high-resoluti dd6b6beba7202deb1ceeb241438fdfd48e88b394,Multiple Granularity Descriptors for Fine-Grained Categorization,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, dd609e4bd83cfcdbf64fc794da73a36398076890,Recurrent Human Pose Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, dd609e4bd83cfcdbf64fc794da73a36398076890,Recurrent Human Pose Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +ddbb6e0913ac127004be73e2d4097513a8f02d37,Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +dd72ed9a30e4d04703487df29a8762940bd79967,Image Retrieval based on LBP Transitions,India,India,India,20.59368400,78.96288000,edu, +dd72ed9a30e4d04703487df29a8762940bd79967,Image Retrieval based on LBP Transitions,India,India,India,20.59368400,78.96288000,edu, dddfc10d9649a936cc440c1f3590b14e51a81daa,Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, dd0be14c30714c77421dfe6cba31ed0b523434ae,Reducing Physical-attractiveness bias in hiring decisions : An experimental investigation,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, dd0262d63ab7e2a9ab90478394b9fb56d17ed71c,Triple consistency loss for pairing distributions in GAN-based face synthesis,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, +dda1be806ab56ca58187621a0c2e4d2b8ad429ac,Visual Tracking via Spatially Aligned Correlation Filters Network,China,China,China,35.86166000,104.19539700,edu, dda1be806ab56ca58187621a0c2e4d2b8ad429ac,Visual Tracking via Spatially Aligned Correlation Filters Network,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, ddf25fe84789821d204fd09026bb02d891d50399,Multi-Shot Human Re-Identification Using Adaptive Fisher Discriminant Analysis,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, ddb561cbdc1e8d76e88679c115f277effde4db8d,Human-like Clustering with Deep Convolutional Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, ddb561cbdc1e8d76e88679c115f277effde4db8d,Human-like Clustering with Deep Convolutional Neural Networks,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, dd0aef0d44e740580212d6efb5286446494729ba,Multi-feature canonical correlation analysis for face photo-sketch image retrieval,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +dd0aef0d44e740580212d6efb5286446494729ba,Multi-feature canonical correlation analysis for face photo-sketch image retrieval,China,China,China,35.86166000,104.19539700,edu, dd0aef0d44e740580212d6efb5286446494729ba,Multi-feature canonical correlation analysis for face photo-sketch image retrieval,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, dd7faa9ebacb64bcf4210c3be76202c592e3d637,"Comparison of Visible, Thermal Infra-Red and Range Images for Face Recognition",University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, dddc2aa21f281148cb22b2cec5635f76ef4e545b,Object Localization with Boosting and Weak Supervision for Generic Object Recognition,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, @@ -6513,8 +7971,11 @@ ddde8f2c0209f11c2579dfaa13ac4053dedbf2fe,Image smoothing via unsupervised learni dda0b381c162695f21b8d1149aab22188b3c2bc0,Occluded Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, dda0b381c162695f21b8d1149aab22188b3c2bc0,Occluded Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, dda403e6d9b61e3fa84fafb3aa2f70884d03a944,Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +dd8084b2878ca95d8f14bae73e1072922f0cc5da,"Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification",China,China,China,35.86166000,104.19539700,edu, dd197080cf1ed6b453eab09da08cfd48c5ad246f,Audio-Visual Speaker Veri cation using Continuous Fused HMMs,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, dda95e28395324aa87027d9692423b3a6f42dd4a,Improved Multi-Person Tracking with Active Occlusion Handling,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +dda95e28395324aa87027d9692423b3a6f42dd4a,Improved Multi-Person Tracking with Active Occlusion Handling,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +dd5ef2a12753c5c923fa6b8033384db7875acf95,Upper Body Detection and Feature Set Evaluation for Body Pose Classification,"CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France","CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France","7 Avenue du Colonel Roche, 31400 Toulouse, France",43.56334270,1.47686950,edu, dd173dc349312810ec45ed4b346190ff2250ddd8,PaDNet: Pan-Density Crowd Counting,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, dd471f321ead8b405da6194057b2778ef3db7ea7,Multi-Task Adversarial Network for Disentangled Feature Learning,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, dda35768681f74dafd02a667dac2e6101926a279,Multi-layer temporal graphical model for head pose estimation in real-world videos,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, @@ -6524,12 +7985,15 @@ ddb27eee407aa7fca166544cf5c2d93c5f0e76ea,Accuracy and speed of material categori dd033d4886f2e687b82d893a2c14dae02962ea70,Facial Expression Recognition Using New Feature Extraction Algorithm,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, dda0fc7d5749737d4248b7c969bce9bb80c33dde,Facial Skin Texture as a Source of Biometric Information,University of Kent,University of Kent,"University of Kent, St. Stephen's Hill, Hackington, Canterbury, Kent, South East, England, CT2 7AS, UK",51.29753440,1.07296165,edu, dd85b6fdc45bf61f2b3d3d92ce5056c47bd8d335,Unsupervised Learning and Segmentation of Complex Activities from Video,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, +ddf099f0e0631da4a6396a17829160301796151c,Chen et al . Face Quality Value : Input : Feat -‐ 5 Features : L 2 R + PKM Model : Feat -‐,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ddeececa11517bea0d21804e3f724612dac1a5c5,"""Factual"" or ""Emotional"": Stylized Image Captioning with Adaptive Learning and Attention",University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, -ddeececa11517bea0d21804e3f724612dac1a5c5,"""Factual"" or ""Emotional"": Stylized Image Captioning with Adaptive Learning and Attention",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +ddeececa11517bea0d21804e3f724612dac1a5c5,"""Factual"" or ""Emotional"": Stylized Image Captioning with Adaptive Learning and Attention",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, dd900526f95079e6532a26d0423357bf8ad43afc,Modeling Image Virality with Pairwise Spatial Transformer Networks,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +dd8d53e67668067fd290eb500d7dfab5b6f730dd,A Parameter-Free Framework for General Supervised Subspace Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, dd30d7e32046c333de78a9380ac6b76f4ce307b0,Probabilistic Siamese Network for Learning Representations,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct Face Templates from Match Scores,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, 59f83e94a7f52cbb728d434426f6fe85f756259c,An Improved Illumination Normalization Approach based on Wavelet Tranform for Face Recognition from Single Training Image Per Person,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +59f83e94a7f52cbb728d434426f6fe85f756259c,An Improved Illumination Normalization Approach based on Wavelet Tranform for Face Recognition from Single Training Image Per Person,China,China,China,35.86166000,104.19539700,edu, 59d10820e0a04d2d1acc43bb18a76c52e9946721,Attention to eyes and mouth in high-functioning children with autism.,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, 59d10820e0a04d2d1acc43bb18a76c52e9946721,Attention to eyes and mouth in high-functioning children with autism.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 59770c26ff77f17d6386c962c2b0753cac041382,Shared brain activity for aesthetic and moral judgments: implications for the Beauty-is-Good stereotype.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -6538,11 +8002,13 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 59d88030c99de99d18d16dd5ffab7c0bcf6ac58e,Collaborative Annotation of Semantic Objects in Images with Multi-granularity Supervisions,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 5927984db5949852d2df809ce61dbb604c270f48,Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 5927984db5949852d2df809ce61dbb604c270f48,Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +59d66790ac1db459ba78ed0147cde7c66e7ed0c5,Ensemble-based discriminant learning with boosting for face recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 59a6c9333c941faf2540979dcfcb5d503a49b91e,Sampling Clustering,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, 59b095bdbd4b3f4a8240ad011b1d0b318b526d78,Recognizing and Filtering Web Images Based on People's Existence,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 59824fe429655a2bea2aa0af6258f64107cc7141,Improved Eigenfeature Regularization for Face Identification,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, 59138911e0526dd1d8c5466b2793b6bb02c35ca9,Describing Objects via Attribute Detection,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 59e2037f5079794cb9128c7f0900a568ced14c2a,Clothing and People - A Social Signal Processing Perspective,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, +59e2037f5079794cb9128c7f0900a568ced14c2a,Clothing and People - A Social Signal Processing Perspective,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 5996001b797ab2a0f55d5355cb168f25bfe56bbd,Content-Based Video Search over 1 Million Videos with 1 Core in 1 Second,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 59e91bd46492391beadce041806297e856af6ee6,Escaping from Collapsing Modes in a Constrained Space,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 596e414872debe1441b5e40216febe8788df9b35,Spatiotemporal dynamics of similarity-based neural representations of facial identity.,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -6551,6 +8017,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 59cee3d54dca04207f57b19c3d1a31402a75c3c3,L1-(2D)2PCANet: A Deep Learning Network for Face Recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, 5922e26c9eaaee92d1d70eae36275bb226ecdb2e,Boosting Classification Based Similarity Learning by using Standard Distances,Universitat de València,Universitat de València,"Campus dels Tarongers, Plaza de Manuel Broseta i Pont, Ciutat Jardí, Algirós, València, Comarca de València, València / Valencia, Comunitat Valenciana, 46022, España",39.47787665,-0.34257711,edu, 59bece468ed98397d54865715f40af30221aa08c,Deformable part-based robust face detection under occlusion by using face decomposition into face components,University of Zagreb,"University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia","Unska ul. 3, 10000, Zagreb, Croatia",45.80112100,15.97084090,edu, +59b202ccc01bae85a88ad0699da7a8ae6aa50fef,"Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 592bbab1e073908c75584879bc00911e7246aebf,Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 592bbab1e073908c75584879bc00911e7246aebf,Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu, 59be98f54bb4ed7a2984dc6a3c84b52d1caf44eb,A deep-learning approach to facial expression recognition with candid images,CUNY City College,CUNY City College,"CUNY City College, 205 East 42nd Street, New York, NY 10017",45.55466080,5.40652550,edu, @@ -6558,9 +8025,10 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 592e555ebe4bd2d821230e7074d7e9626af716b0,Open Set Adversarial Examples,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 59a0b3537bf4f764c192812c4b48049f5c8fccc3,Unsupervised Object Discovery from Images by Mining Local Features Using Hashing,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, 5955e31c413a4a08d149de8af843355ac45525bc,Supervised Kernel Locally Principle Component Analysis for Face Recognition,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, +593234ba1d2e16a887207bf65d6b55bbc7ea2247,Combining language sources and robust semantic relatedness for attribute-based knowledge transfer,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 593234ba1d2e16a887207bf65d6b55bbc7ea2247,Combining language sources and robust semantic relatedness for attribute-based knowledge transfer,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 594cd8ed19aad3ce29d11c74d2c5fbf1a864be0c,Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, -594cd8ed19aad3ce29d11c74d2c5fbf1a864be0c,Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +594cd8ed19aad3ce29d11c74d2c5fbf1a864be0c,Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 594cd8ed19aad3ce29d11c74d2c5fbf1a864be0c,Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 591f04d62f44c22d1d82c9e074b066c21b420394,Learning What and Where to Draw,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 591f04d62f44c22d1d82c9e074b066c21b420394,Learning What and Where to Draw,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, @@ -6570,12 +8038,15 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 59b2edf39e0490892d8865b8252bd7f11e2b2228,Face Recognition Using a Unified 3 D Morphable Model,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 59b2edf39e0490892d8865b8252bd7f11e2b2228,Face Recognition Using a Unified 3 D Morphable Model,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 59d8fa6fd91cdb72cd0fa74c04016d79ef5a752b,The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +5955bb0325ec4dd3b56759aeb96cc9c18b09bf3e,Self-Supervised Depth Learning Improves Semantic Segmentation,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 59778de271938df6de938deac17fd614f4640ac5,Cleaning up after a face tracker: False positive removal,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 59778de271938df6de938deac17fd614f4640ac5,Cleaning up after a face tracker: False positive removal,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +59a35b63cf845ebf0ba31c290423e24eb822d245,The FaceSketchID System: Matching Facial Composites to Mugshots,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 59f77456b4e2ffe84f99ac33796ee409143dbdac,ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 59948ee0f334ccdc4e94e5bb6a7a019c764e1815,Deployment of Practical Methods for Counting Bicycle and Pedestrian Use of a Transportation Facility Final Report Prepared by :,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 590739cab80ad1219143401be0d929bc2885901b,Sherlock: Modeling Structured Knowledge in Images,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 59319c128c8ac3c88b4ab81088efe8ae9c458e07,Effective Computer Model For Recognizing Nationality From Frontal Image.,University of the Humanities,The University of the Humanities,"Хүмүүнлэгийн ухааны их сургууль, Ж.Самбуугийн гудамж, Гандан, Улаанбаатар, 975, Монгол улс",47.92189370,106.91955240,edu, +59cca46a0442fc6bd0525e5f13cef5b5a9747d34,Cross-Domain Shoe Retrieval With a Semantic Hierarchy of Attribute Classification Network,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 59f357015054bab43fb8cbfd3f3dbf17b1d1f881,Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 59f357015054bab43fb8cbfd3f3dbf17b1d1f881,Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 59f3f62fa3820f8f41a47d6e37b896c0f899457a,On the use of independent tasks for face recognition,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu, @@ -6609,8 +8080,11 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 25dba68e4db0ce361032126b91f734f9252cae7c,DeepSetNet: Predicting Sets with Deep Neural Networks,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 256f09fe3163564958381d7f3727b5c27c19144c,Image2Emoji: Zero-shot Emoji Prediction for Visual Media,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 250fac885611cf7513d94aa7d8ca329abc216ca1,ROBUST SEGMENTATION AND OBJECT CLASSIFICATION IN NATURAL AND MEDICAL IMAGES,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, +2559b15f8d4a57694a0a33bdc4ac95c479a3c79a,Contextual Object Localization With Multiple Kernel Nearest Neighbor,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2534997443c7e183c9f8e370ea1e82989ecc940d,Skeleton Search: Category-Specific Object Recognition and Segmentation Using a Skeletal Shape Model,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +2594a77a3f0dd5073f79ba620e2f287804cec630,Regularizing Face Verification Nets For Pain Intensity Regression,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 2594a77a3f0dd5073f79ba620e2f287804cec630,Regularizing Face Verification Nets For Pain Intensity Regression,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu, +2594a77a3f0dd5073f79ba620e2f287804cec630,Regularizing Face Verification Nets For Pain Intensity Regression,China,China,China,35.86166000,104.19539700,edu, 2594a77a3f0dd5073f79ba620e2f287804cec630,Regularizing Face Verification Nets For Pain Intensity Regression,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 256623ff025f36d343588bcd0b966c1fd26afcf8,Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 2599445b0990979483db54c707c9a33b18231910,Binary Biometric Representation through Pairwise Polar Quantization,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, @@ -6621,6 +8095,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 25c087a7b86c2f5528d702942bf3a29e81267cb1,Talking about other people: an endless range of possibilities,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu, 25d514d26ecbc147becf4117512523412e1f060b,Annotated crowd video face database,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 25e9a2ec45c34d4610359196dc505a72c3833336,Benchmarking KAZE and MCM for Multiclass Classification,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +258da7c0f7bdfad019f9affbd3469081d1c12661,Adaptive Image Denoising by Mixture Adaptation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 25c108a56e4cb757b62911639a40e9caf07f1b4f,Recurrent Scale Approximation for Object Detection in CNN,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 257e008c01a32b9b642553f3f1e59e61efcac4a6,Gender discrimination of eyes and mouths by individuals with autism.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 257e008c01a32b9b642553f3f1e59e61efcac4a6,Gender discrimination of eyes and mouths by individuals with autism.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, @@ -6628,16 +8103,18 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 25f5df29342a04936ba0d308b4d1b8245a7e8f5c,Convolutional Pose Machines,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 256fbdb890e3010d8e99749d5d9aea2d7340fbd7,Learning from weak representations using distance functions and generative models,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, 2577211aeaaa1f2245ddc379564813bee3d46c06,Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, -2577211aeaaa1f2245ddc379564813bee3d46c06,Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +2577211aeaaa1f2245ddc379564813bee3d46c06,Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 25b1a031a0559a0bc4079e9011bdf527e1a39d19,Modelling the time-variant covariates for gait recognition,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +25ed9bd6c5febac832f3d68b96123e6ba013df83,Object segmentation by alignment of poselet activations to image contours,University of Freiburg,"Social Robotics Lab, University of Freiburg, Germany","Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany",47.99354410,7.84594960,edu, 253b9b36565b83d0196c3bd9bf05089d9aafa242,Human Body Part Classification in Monocular Soccer Images,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 255971561c250d1ccee1402397586d2c7d0cd545,SmartBox : Benchmarking Adversarial Detection and Mitigation Algorithms for Face Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 2563b2adba98788a217565ba5a648f83cb75eeeb,Weight-Optimal Local Binary Patterns,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 25899b46ded451547a913567db876c75c305b1a6,DESIGNING FACE VERIFICATION SYSTEMS BASED SYNTHESISED NEAR INFRARED INFORMATION,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 25899b46ded451547a913567db876c75c305b1a6,DESIGNING FACE VERIFICATION SYSTEMS BASED SYNTHESISED NEAR INFRARED INFORMATION,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, +25403c52a7c3092866773b0e765ab55841d3cb67,Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, 25ee08db14dca641d085584909b551042618b8bf,Learning to Segment Instances in Videos with Spatial Propagation Network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 25ee08db14dca641d085584909b551042618b8bf,Learning to Segment Instances in Videos with Spatial Propagation Network,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, -2588acc7a730d864f84d4e1a050070ff873b03d5,Action Recognition by an Attention-Aware Temporal Weighted Convolutional Neural Network,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +2588acc7a730d864f84d4e1a050070ff873b03d5,Action Recognition by an Attention-Aware Temporal Weighted Convolutional Neural Network,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 25ff865460c2b5481fa4161749d5da8501010aa0,Seeing What is Not There: Learning Context to Determine Where Objects are Missing,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 25c3068e7964d3b894916a82b1fa93c9d6792886,Face Recognition with Histograms of Oriented Gradients,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 25c3cdbde7054fbc647d8be0d746373e7b64d150,ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, @@ -6646,12 +8123,22 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 255bb1a38169c7b78fb4da747cde18a961755d7a,A Bayesian generative model for learning semantic hierarchies,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 255bb1a38169c7b78fb4da747cde18a961755d7a,A Bayesian generative model for learning semantic hierarchies,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 255bb1a38169c7b78fb4da747cde18a961755d7a,A Bayesian generative model for learning semantic hierarchies,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +25f1a5121cb7fb67749a6f6dbc27fd48f177d5fb,Context-Aware Hypergraph Modeling for Re-identification and Summarization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +25e05a1ea19d5baf5e642c2a43cca19c5cbb60f8,Label Distribution Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +253d2fd2891a97d4caa49d87094dac1ec18c7752,Bio-authentication for Layered Remote Health Monitor Framework,India,India,India,20.59368400,78.96288000,edu, +253d2fd2891a97d4caa49d87094dac1ec18c7752,Bio-authentication for Layered Remote Health Monitor Framework,India,India,India,20.59368400,78.96288000,edu, +2597b0dccdf3d89eaffd32e202570b1fbbedd1d6,Towards Predicting the Likeability of Fashion Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +2594bf77a1fef68d86be74a2cb79c55499cb2bec,Learning Invariant Color Features for Person Reidentification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +259e4aca87b8724b4c9df2315b976237481a1929,Pedestrian Behavior Understanding and Prediction with Deep Neural Networks,China,China,China,35.86166000,104.19539700,edu, 259e4aca87b8724b4c9df2315b976237481a1929,Pedestrian Behavior Understanding and Prediction with Deep Neural Networks,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 25e2d3122d4926edaab56a576925ae7a88d68a77,Communicative-Pragmatic Treatment in Schizophrenia: A Pilot Study,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +25e2d3122d4926edaab56a576925ae7a88d68a77,Communicative-Pragmatic Treatment in Schizophrenia: A Pilot Study,Finland,Finland,Finland,61.92411000,25.74815110,edu, 25e2d3122d4926edaab56a576925ae7a88d68a77,Communicative-Pragmatic Treatment in Schizophrenia: A Pilot Study,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 25f4ac8e021b7304227e0d3f4ce01741b0ce9f92,On User Choice in Graphical Password Schemes,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 55804f85613b8584d5002a5b0ddfe86b0d0e3325,Data Complexity in Machine Learning,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +5539c0bee8fcf825e63a1abaa950615ebd9c6b49,ijsr . net Car Detection and Recognition Based on Rear View and Back Light Features,India,India,India,20.59368400,78.96288000,edu, 5539c0bee8fcf825e63a1abaa950615ebd9c6b49,ijsr . net Car Detection and Recognition Based on Rear View and Back Light Features,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +5539c0bee8fcf825e63a1abaa950615ebd9c6b49,ijsr . net Car Detection and Recognition Based on Rear View and Back Light Features,India,India,India,20.59368400,78.96288000,edu, 558fc9a2bce3d3993a9c1f41b6c7f290cefcf92f,Efficient and Effective Solutions for Video Classification,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 558fc9a2bce3d3993a9c1f41b6c7f290cefcf92f,Efficient and Effective Solutions for Video Classification,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, 55d0eaf7393bb6bd0483c98894f16269d275c2bd,MMGAN: Manifold Matching Generative Adversarial Network,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu, @@ -6662,6 +8149,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 55d0eaf7393bb6bd0483c98894f16269d275c2bd,MMGAN: Manifold Matching Generative Adversarial Network,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, 55e4cf29055d1556baf72cd17d2bdb692c8554c0,Do deep features retrieve X ? : A tool for quick inspection of deep visual similarities,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 553ffb04c193eedde286c944f4816d46248d9822,"Hi, magic closet, tell me what to wear!",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +553ffb04c193eedde286c944f4816d46248d9822,"Hi, magic closet, tell me what to wear!",Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 55b4b1168c734eeb42882082bd131206dbfedd5b,Learning to Align from Scratch,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 55b4b1168c734eeb42882082bd131206dbfedd5b,Learning to Align from Scratch,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 555f5ef266335af8189714297ccbcd6ab77d83f2,Marginalized CNN: Learning Deep Invariant Representations,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, @@ -6673,6 +8161,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 55eb7ec9b9740f6c69d6e62062a24bfa091bbb0c,CAS(ME)2: A Database of Spontaneous Macro-expressions and Micro-expressions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 55eb7ec9b9740f6c69d6e62062a24bfa091bbb0c,CAS(ME)2: A Database of Spontaneous Macro-expressions and Micro-expressions,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 55eb7ec9b9740f6c69d6e62062a24bfa091bbb0c,CAS(ME)2: A Database of Spontaneous Macro-expressions and Micro-expressions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +55eb7ec9b9740f6c69d6e62062a24bfa091bbb0c,CAS(ME)2: A Database of Spontaneous Macro-expressions and Micro-expressions,China,China,China,35.86166000,104.19539700,edu, 555f75077a02f33a05841f9b63a1388ec5fbcba5,A Survey on Periocular Biometrics Research,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, 55bb6235eaec0459183b5442f46501d29b824a9b,UvA-DARE ( Digital Academic Repository ) Re-identification of persons in multicamera surveillance under varying viewpoints and illumination,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 55089f9bc858ae7e9addf30502ac11be4347c05a,A Privacy-Preserving Deep Learning Approach for Face Recognition with Edge Computing,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, @@ -6691,6 +8180,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 55206f0b5f57ce17358999145506cd01e570358c,Parameterisation of a stochastic model for human face identification,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 55d1342900e0abc59495afd44cde0a0052367b42,Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 55249d73df3c38aca08f45a60ff54d9ac8b678a0,General Regression and Representation Model for Face Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +558c4917dc9a1d34f62c0ab713b1b9a37ad04853,Action Recognition Using Multilevel Features and Latent Structural SVM,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 557890cef6e9285909904fa141ccddddc0da90dd,Target Identity-aware Network Flow for online multiple target tracking,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 557890cef6e9285909904fa141ccddddc0da90dd,Target Identity-aware Network Flow for online multiple target tracking,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 553c4cb8ae6968515efe7ffcb6c30ca5338a32de,InverseNet: Solving Inverse Problems with Splitting Networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -6701,13 +8191,18 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 55b9b1c1c5487f5f62b44340104a9c4cc2ed7c96,The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA).,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 55761bdf5cbbff5fbede8ee9d0573d1561a9254b,The Impact of Visual Saliency Prediction in Image Classification,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 556b9aaf1bc15c928718bc46322d70c691111158,Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, -558540d73fec6fd3856fe0695ad8d9c0b5fe1773,Type-hover-swipe in 96 bytes: a motion sensing mechanical keyboard,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +558540d73fec6fd3856fe0695ad8d9c0b5fe1773,Type-hover-swipe in 96 bytes: a motion sensing mechanical keyboard,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 55af4918d6b20d13c58c482d7e31e17db53c6ab5,When Fashion Meets Big Data: Discriminative Mining of Best Selling Clothing Features,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 55af4918d6b20d13c58c482d7e31e17db53c6ab5,When Fashion Meets Big Data: Discriminative Mining of Best Selling Clothing Features,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 552c55c71bccfc6de7ce1343a1cd12208e9a63b3,Accurate eye center location and tracking using isophote curvature,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +5531e728850185b80835a78db2e4fd23e288f359,Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +5531e728850185b80835a78db2e4fd23e288f359,Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +5520acfa1f4e678f1abbaab67ec76e903c3d3bdc,SALSA: A Novel Dataset for Multimodal Group Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +5520acfa1f4e678f1abbaab67ec76e903c3d3bdc,SALSA: A Novel Dataset for Multimodal Group Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 55af092ce75ade8a26d2afe97d57de2191d44b5f,Unsupervised Ensemble Regression,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, 55af092ce75ade8a26d2afe97d57de2191d44b5f,Unsupervised Ensemble Regression,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, 55af092ce75ade8a26d2afe97d57de2191d44b5f,Unsupervised Ensemble Regression,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, +5550a6df1b118a80c00a2459bae216a7e8e3966c,A perusal on Facial Emotion Recognition System ( FERS ),India,India,India,20.59368400,78.96288000,edu, 55c0113534c62b7f3f238210cf501b42d91cc33a,Hand Keypoint Detection in Single Images Using Multiview Bootstrapping,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 55e87050b998eb0a8f0b16163ef5a28f984b01fa,Can you Find a Face in a HEVC Bitstream?,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 554f10d7b8933e9590551a4f891d034b9b8e8642,Learning Individualized Facial Expressions in an Avatar with PSO and Tabu Search,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, @@ -6734,6 +8229,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 4e2873a2ea525507f5cd08e54ba363b06bc10e0a,Multi-Modal Information Extraction in a Question-Answer Framework,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 4e2873a2ea525507f5cd08e54ba363b06bc10e0a,Multi-Modal Information Extraction in a Question-Answer Framework,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 4e30107ee6a2e087f14a7725e7fc5535ec2f5a5f,Представление новостных сюжетов с помощью событийных фотографий (News Stories Representation Using Event Photos),Lomonosov Moscow State University,Lomonosov Moscow State University,"МГУ, улица Академика Хохлова, Московский государственный университет им. М. В. Ломоносова, район Раменки, Западный административный округ, Москва, ЦФО, 119234, РФ",55.70229715,37.53179777,edu, +4e30107ee6a2e087f14a7725e7fc5535ec2f5a5f,Представление новостных сюжетов с помощью событийных фотографий (News Stories Representation Using Event Photos),Russia,Russia,Russia,61.52401000,105.31875600,edu, 4ed54d5093d240cc3644e4212f162a11ae7d1e3b,Learning Visual Compound Models from Parallel Image-Text Datasets,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu, 4ed54d5093d240cc3644e4212f162a11ae7d1e3b,Learning Visual Compound Models from Parallel Image-Text Datasets,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 4ec46573d2e9551cf9ec956b12df356a0cc43447,Comparing Human and Automatic Face Recognition Performance,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu, @@ -6743,6 +8239,7 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 4e0636a1b92503469b44e2807f0bb35cc0d97652,Adversarial Localization Network,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 4e6ee936eb50dd032f7138702fa39b7c18ee8907,The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, 4e6ee936eb50dd032f7138702fa39b7c18ee8907,The Dartmouth Database of Children’s Faces: Acquisition and Validation of a New Face Stimulus Set,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +4ea253a391f804f0045a20e6ef1ae6e92cd0ba55,5 Image Compression Effects in Face Recognition Systems,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 4e99eaf58aa5fb4665dffec0009e2464feb0f66c,An Indexing Method for Efficient Model-Based Search,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 4e65c9f0a64b6a4333b12e2adc3861ad75aca83b,Image Classification Using Super-Vector Coding of Local Image Descriptors,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 4e65c9f0a64b6a4333b12e2adc3861ad75aca83b,Image Classification Using Super-Vector Coding of Local Image Descriptors,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, @@ -6757,16 +8254,22 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 4e559f23bcf502c752f2938ad7f0182047b8d1e4,A Fast Approximate AIB Algorithm for Distributional Word Clustering,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 4e5dc3b397484326a4348ccceb88acf309960e86,Secure Access Control and Large Scale Robust Representation for Online Multimedia Event Detection,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 4e5dc3b397484326a4348ccceb88acf309960e86,Secure Access Control and Large Scale Robust Representation for Online Multimedia Event Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +4e5dc3b397484326a4348ccceb88acf309960e86,Secure Access Control and Large Scale Robust Representation for Online Multimedia Event Detection,China,China,China,35.86166000,104.19539700,edu, 4e5dc3b397484326a4348ccceb88acf309960e86,Secure Access Control and Large Scale Robust Representation for Online Multimedia Event Detection,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 4e1836914bbcf94dc00e604b24b1b0d6d7b61e66,Dynamic Facial Expression Recognition Using Boosted Component-Based Spatiotemporal Features and Multi-classifier Fusion,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 4e1836914bbcf94dc00e604b24b1b0d6d7b61e66,Dynamic Facial Expression Recognition Using Boosted Component-Based Spatiotemporal Features and Multi-classifier Fusion,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 4eba5f6824f29533e0cd2660e49f2699c7e6501f,Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +4eb0b82b294f601510cd965adcf0e8c386cbaf22,Face Detection for Augmented Reality Application Using Boosting-based Techniques,Mohammed V University in Rabat,"LRIT-CNRST URAC 29, Mohammed V University in Rabat, Faculty of Sciences Rabat, Morocco","Angle avenues des FAR et Allal El Fassi, Hay Ryad, B.P. 8027 N.U.، Rabat 10102, Morocco",33.97023350,-6.87447300,edu, 4e91defcc0b5ddf18fa70c34d91ce94a0be0f4d7,ODELS WITH A DVERSARIAL T RAINING,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 4e47a5eee68b2828bf7d36e7ef70e1d0f6920678,Analysis of the CMU Localization Algorithm Under Varied Conditions,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 4e47a5eee68b2828bf7d36e7ef70e1d0f6920678,Analysis of the CMU Localization Algorithm Under Varied Conditions,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4ebba791d33d10f694c62c762c15ed581d83c857,Bayesian Networks to Combine Intensity and Color Information in Face Recognition,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 4ed613b6f0427d3ec4cad6c51dcc451786812959,Spatio-Temporal Attention Models for Grounded Video Captioning,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, 4e6305b9c9ec58db62548c666357521fb4b3f6f9,Iterative Crowd Counting,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, +4e1d7bad6cde28e65b12c5824b1016859e1ae704,Enhanced Face Recognition Using Discrete Cosine Transform,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +4ea6954b47baec061fa3f3e1228833eba7be07f9,Multi-pseudo Regularized Label for Generated Data in Person Re-Identification.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +4e4a47e2d285e55f3d0b6d449d6b9893615db5cd,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu, +4e4a47e2d285e55f3d0b6d449d6b9893615db5cd,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu, 4ea4116f57c5d5033569690871ba294dc3649ea5,Multi-View Face Alignment Using 3D Shape Model for View Estimation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 4e51a3049f1a7301993e2d5ac8fb77a1ab0faae7,Multimodal Human Computer Interaction: A Survey,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 4eab317b5ac436a949849ed286baa3de2a541eef,Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -6788,15 +8291,20 @@ ddb49e36570af09d96059b3b6f08f9124aafe24f,A Non-Iterative Approach to Reconstruct 4e5e6d405331aa4aafc88e3ab31c7f45720c00b2,Pose Tolerant Surface Alignment for 3 D Face Verification with Symmetry Test Reject Option,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 4e1ade72128a6e530577dbbe69bd0afa0ef0e140,Pose Partition Networks for Multi-person Pose Estimation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 4e1ade72128a6e530577dbbe69bd0afa0ef0e140,Pose Partition Networks for Multi-person Pose Estimation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +4e1ade72128a6e530577dbbe69bd0afa0ef0e140,Pose Partition Networks for Multi-person Pose Estimation,China,China,China,35.86166000,104.19539700,edu, 4e4fa167d772f34dfffc374e021ab3044566afc3,Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4e4fa167d772f34dfffc374e021ab3044566afc3,Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 4e4fa167d772f34dfffc374e021ab3044566afc3,Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, ea476558228c2fe014e034b76b5de35e40de8215,Eye tracking and gaze interface design for pervasive displays,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, eaf421c589034b422d64c2c590d30959ce2d6c74,A discrete chain graph model for 3d+t cell tracking with high misdetection robustness,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, +eacba5e8fbafb1302866c0860fc260a2bdfff232,VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos,University of Catania,"Electronics and Computer Engineering, University of Catania, Catania, Italy","Via S. Sofia, 64, 95125 Catania CT, Italy",37.52442420,15.06991700,edu, eacba5e8fbafb1302866c0860fc260a2bdfff232,VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, ead1db02b36146ef5c3ef29a1cc411a8f01bc56b,A Overview About Image Segmentation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, ea923da826b9e6f89159cc960db7aac91b5ecbd6,Approved by Major Professor(s): Approved by Head of Graduate Program: Date of Graduate Program Head's Approval: Abhilasha Bhargav-Spantzel Protocols and Systems for Privacy Preserving Protection of Digital Identity Doctor of Philosophy,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +ea3353efbe7b856ced106718d04ea7d83e2a2310,A Survey of Video Object Tracking,China,China,China,35.86166000,104.19539700,edu, +ea3353efbe7b856ced106718d04ea7d83e2a2310,A Survey of Video Object Tracking,China,China,China,35.86166000,104.19539700,edu, ea4a93a97bf0bff059034c707fa75a2ca13d8048,Extracting Minimalistic Corridor Geometry from Low-Resolution Images,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, +eac6aee477446a67d491ef7c95abb21867cf71fc,A Survey of Sparse Representation: Algorithms and Applications,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ea985e35b36f05156f82ac2025ad3fe8037be0cd,CERTH/CEA LIST at MediaEval Placing Task 2015,Information Technologies Institute,Information Technologies Institute,"公益財団法人九州先端科学技術研究所, Fukuoka SRP Center Building 7F, 百道ランプ下り入り口, 早良区, 福岡市, 福岡県, 九州地方, 814-0001, 日本",33.59345390,130.35578370,edu, ea3b13e512c846e2bb29d99f5f97fcf8c7f52836,Adding the Third Dimension to Spatial Relation Detection in 2D Images,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, ea7e8377f80378ca9c9f8f3e65f7dec6b8b356b9,Automatic Initialization for Facial Analysis in Interactive Robotics,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu, @@ -6810,17 +8318,19 @@ ea00489323104d70dd43bac5e15390ec4d6dfe8f,Transfer for Person Re-identification,S ea00489323104d70dd43bac5e15390ec4d6dfe8f,Transfer for Person Re-identification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, ea00489323104d70dd43bac5e15390ec4d6dfe8f,Transfer for Person Re-identification,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, ea00489323104d70dd43bac5e15390ec4d6dfe8f,Transfer for Person Re-identification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +ea00489323104d70dd43bac5e15390ec4d6dfe8f,Transfer for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, ea050801199f98a1c7c1df6769f23f658299a3ae,The MPI Facial Expression Database — A Validated Database of Emotional and Conversational Facial Expressions,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, ea6207e553a5c8a3e171a8f6b6297688ab43f92d,DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, ea6207e553a5c8a3e171a8f6b6297688ab43f92d,DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, ea8707f8d527018c063a688bbd5a88f74506b288,Be Your Own Prada: Fashion Synthesis with Structural Coherence,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, ea8707f8d527018c063a688bbd5a88f74506b288,Be Your Own Prada: Fashion Synthesis with Structural Coherence,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa,Anchor Box Optimization for Object Detection,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, -ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa,Anchor Box Optimization for Object Detection,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +ea8c1ac5a1594d6441d10914e0ccc4bd3e9eadfa,Anchor Box Optimization for Object Detection,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, ea4098d86802dff863fe9f91cbc75b195d452d34,"Tensorize , Factorize and Regularize : Robust Visual Relationship Learning",University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, ea4098d86802dff863fe9f91cbc75b195d452d34,"Tensorize , Factorize and Regularize : Robust Visual Relationship Learning",University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, ea218cebea2228b360680cb85ca133e8c2972e56,Recover Canonical-View Faces in the Wild with Deep Neural Networks,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, ea890846912f16a0f3a860fce289596a7dac575f,Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +ea890846912f16a0f3a860fce289596a7dac575f,Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game,"National Research Council, Italy","National Research Council, Italy","Research Private, Ottawa, ON K1V, Canada",45.32909590,-75.66198580,edu, ea890846912f16a0f3a860fce289596a7dac575f,Benefits of social vs. non-social feedback on learning and generosity. Results from the Tipping Game,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, ea80a050d20c0e24e0625a92e5c03e5c8db3e786,Face Verification and Face Image Synthesis under Illumination Changes using Neural Networks by,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, eaaed082762337e7c3f8a1b1dfea9c0d3ca281bf,Algebraic Simplification of Genetic Programs during Evolution,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, @@ -6838,6 +8348,7 @@ ea32e570ddf5661cdb030132e15e68e30ba6b24a,People Re-identification Based on Bags 27bd59baf9cc179e8218c65abd56229def1f83e0,Person re-identification by manifold ranking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 27bd59baf9cc179e8218c65abd56229def1f83e0,Person re-identification by manifold ranking,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 27c4369463ff28f4ab16e9d9eba6f48102c8793e,Triangle Generative Adversarial Networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +273dc39c3e7a18aac3cbd5f2db93969e9cc7613f,EXEMPLAR-BASED HUMAN INTERACTION RECOGNITION : FEATURES AND KEY POSE SEQUENCE MODEL,China,China,China,35.86166000,104.19539700,edu, 273dc39c3e7a18aac3cbd5f2db93969e9cc7613f,EXEMPLAR-BASED HUMAN INTERACTION RECOGNITION : FEATURES AND KEY POSE SEQUENCE MODEL,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 274e8c0c513ff82713f2f332694cf2b29b7c3bb1,0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 274e8c0c513ff82713f2f332694cf2b29b7c3bb1,0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, @@ -6845,6 +8356,7 @@ ea32e570ddf5661cdb030132e15e68e30ba6b24a,People Re-identification Based on Bags 274e8c0c513ff82713f2f332694cf2b29b7c3bb1,0 Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 27bcdd21f1be3d0990f86a231d29d46a5537e5cd,Rendering Portraitures from Monocular Camera and Beyond,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 27bcdd21f1be3d0990f86a231d29d46a5537e5cd,Rendering Portraitures from Monocular Camera and Beyond,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" +2709bb385ce53c83a5fe952d54a4c5e5786c0849,Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios,Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu, 27c6cd568d0623d549439edc98f6b92528d39bfe,Regressive Tree Structured Model for Facial Landmark Localization,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, 2742a61d32053761bcc14bd6c32365bfcdbefe35,Learning Transformations for Clustering and Classification,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 2742a61d32053761bcc14bd6c32365bfcdbefe35,Learning Transformations for Clustering and Classification,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -6854,6 +8366,7 @@ ea32e570ddf5661cdb030132e15e68e30ba6b24a,People Re-identification Based on Bags 274959f26d04848f71a355c09500fd7ebc271d69,Two-Stream Flow-Guided Convolutional Attention Networks for Action Recognition,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 270f029b03ee1bdfeae4ff4c5167b450d185a981,Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimation,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, 27e15e5ae496a228653b69195e7d62a758b73cfa,Adversarial Removal of Gender from Deep Image Representations,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, +27ae7c8c650ffef74c465640f423d9008014e1ca,Dimensionality Reduction with Adaptive Approximation,China,China,China,35.86166000,104.19539700,edu, 2717998d89d34f45a1cca8b663b26d8bf10608a9,Real-Time Action Recognition with Enhanced Motion Vector CNNs,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 2717998d89d34f45a1cca8b663b26d8bf10608a9,Real-Time Action Recognition with Enhanced Motion Vector CNNs,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, 27edd87445ee2474f654563bbae6d265cddc466f,A real-time cascade pedestrian detection based on heterogeneous features,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, @@ -6862,8 +8375,12 @@ ea32e570ddf5661cdb030132e15e68e30ba6b24a,People Re-identification Based on Bags 27ccf0cdf0c7a74640697dfb5d1cf85969a5da2e,Multilingual Image Description with Neural Sequence Models,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 27eb092a9adbfcb3aea1b13bde580f1fd5c7b8f0,Oxytocin Increases Gaze to the Eye Region of Human Faces,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, 27eb092a9adbfcb3aea1b13bde580f1fd5c7b8f0,Oxytocin Increases Gaze to the Eye Region of Human Faces,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, +271666ac32cf29e42f1cf4d0d77d9340b9aa1783,Representation-based Nearest Feature Plane for Pattern Recognition,China,China,China,35.86166000,104.19539700,edu, 271666ac32cf29e42f1cf4d0d77d9340b9aa1783,Representation-based Nearest Feature Plane for Pattern Recognition,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +271666ac32cf29e42f1cf4d0d77d9340b9aa1783,Representation-based Nearest Feature Plane for Pattern Recognition,China,China,China,35.86166000,104.19539700,edu, +27b1670e1b91ab983b7b1ecfe9eb5e6ba951e0ba,Comparison between k-nn and svm method for speech emotion recognition,India,India,India,20.59368400,78.96288000,edu, 27caf667432ad7dbb01921696857303641b34f83,Entropy Driven Hierarchical Search for 3D Human Pose Estimation,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu, +27cccf992f54966feb2ab4831fab628334c742d8,Neutral Face Happy Face Surprise Face Fear Face Sad Face Angry Face Disgust Face,India,India,India,20.59368400,78.96288000,edu, 272c6b6ccf144954a154b83bf5789341ee3f9ed2,A brain-computer interface for potential non-verbal facial communication based on EEG signals related to specific emotions,University of Tokushima,The University of Tokushima,"大学前, 国道11号, 徳島市, 徳島県, 四国地方, 770-0815, 日本",34.07880680,134.55898100,edu, 272c6b6ccf144954a154b83bf5789341ee3f9ed2,A brain-computer interface for potential non-verbal facial communication based on EEG signals related to specific emotions,University of Tokushima,The University of Tokushima,"大学前, 国道11号, 徳島市, 徳島県, 四国地方, 770-0815, 日本",34.07880680,134.55898100,edu, 271df16f789bd2122f0268c3e2fa46bc0cb5f195,Mining discriminative co-occurrence patterns for visual recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, @@ -6871,23 +8388,26 @@ ea32e570ddf5661cdb030132e15e68e30ba6b24a,People Re-identification Based on Bags 277c41ce2a485f09a842d793e599553ad751d34a,Robust Person Detection by Classifier Cubes and Local Verification ∗,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 277bfd1bc89044b4a523ef23f48bd053d5560657,Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 27a299b834a18e45d73e0bf784bbb5b304c197b3,Social Role Discovery in Human Events,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, -27a299b834a18e45d73e0bf784bbb5b304c197b3,Social Role Discovery in Human Events,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +27a299b834a18e45d73e0bf784bbb5b304c197b3,Social Role Discovery in Human Events,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 27961bc8173ac84fdbecacd01e5ed6f7ed92d4bd,Automatic multi-view face recognition via 3D model based pose regularization,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 275b5091c50509cc8861e792e084ce07aa906549,Leveraging the User's Face as a Known Object in Handheld Augmented Reality,University of Munich,Universität München,"Geschwister-Scholl-Platz 1, 80539 München, Germany",48.15080600,11.58043000,edu, 27846b464369095f4909f093d11ed481277c8bba,Real-Time Face Detection and Recognition in Complex Background,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu, 27708a9d83d4a056b30a98f7b72f391fe2899f90,Non-negative Local Sparse Coding for Subspace Clustering,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu, 27405836469652ca9bfaf948c0c9dadd6465a566,"THE USE OF LEXICAL BASIS FUNCTIONS TO CHARACTERIZE FACES , AND TO MEASURE THEIR PERCEIVED SIMILARITY",Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, +272b364f0ed647dbdbc4ae80f10ddaf8ada3a07d,A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena,China,China,China,35.86166000,104.19539700,edu, 272b364f0ed647dbdbc4ae80f10ddaf8ada3a07d,A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +272b364f0ed647dbdbc4ae80f10ddaf8ada3a07d,A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena,China,China,China,35.86166000,104.19539700,edu, 27c66b87e0fbb39f68ddb783d11b5b7e807c76e8,Fast Simplex-HMM for One-Shot Learning Activity Recognition,Zaragoza University,Zaragoza University,"Colegio Mayor Universitario Santa Isabel, Calle de Domingo Miral, Romareda, Zaragoza, Aragón, 50009, España",41.64062180,-0.90079399,edu, 27c66b87e0fbb39f68ddb783d11b5b7e807c76e8,Fast Simplex-HMM for One-Shot Learning Activity Recognition,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu, 273b0511588ab0a81809a9e75ab3bd93d6a0f1e3,Recognition of facial expressions based on salient geometric features and support vector machines,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu, 273b0511588ab0a81809a9e75ab3bd93d6a0f1e3,Recognition of facial expressions based on salient geometric features and support vector machines,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, 273b0511588ab0a81809a9e75ab3bd93d6a0f1e3,Recognition of facial expressions based on salient geometric features and support vector machines,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 273b9b7c63ac9196fb12734b49b74d0523ca4df4,The Secrets of Salient Object Segmentation,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, -273b9b7c63ac9196fb12734b49b74d0523ca4df4,The Secrets of Salient Object Segmentation,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +273b9b7c63ac9196fb12734b49b74d0523ca4df4,The Secrets of Salient Object Segmentation,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 2776d11afa421ec7403606f902dc757de95583b2,Label Propagation from ImageNet to 3D Point Clouds,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 27218ff58c3f0e7d7779fba3bb465d746749ed7c,Active Learning for Image Ranking Over Relative Visual Attributes,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 2701bd6850dc1b811ef7697cc1cd19405b99f990,Privacy Preserving Multi-target Tracking,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +2701bd6850dc1b811ef7697cc1cd19405b99f990,Privacy Preserving Multi-target Tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 2744d19a3026a516431ad92f1b60a9237aa2ef6d,"THE DEVELOPMENT OF VISUO-SPATIAL PROCESSING IN CHILDREN WITH AUTISM, DOWN SYNDROME AND WILLIAMS SYNDROME",University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 2744d19a3026a516431ad92f1b60a9237aa2ef6d,"THE DEVELOPMENT OF VISUO-SPATIAL PROCESSING IN CHILDREN WITH AUTISM, DOWN SYNDROME AND WILLIAMS SYNDROME",University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 2788f382e4396290acfc8b21df45cc811586e66e,Deep Attributes Driven Multi-Camera Person Re-identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, @@ -6905,9 +8425,11 @@ d67277eb00d58d20eaa18c346761fe4eeaab9c49,Multi-Level Fusion based 3 D Object Det d6a2f269e0772817eb7be7a7dd84fde8a821aaf5,Determining Functional Attributes of Objects in Images,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, d647099e571f9af3a1762f895fd8c99760a3916e,Exploring facial expressions with compositional features,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, d6d7b7e882a65663fafe470f0582afb4279879b7,Active Learning & its Applications,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +d6d7b7e882a65663fafe470f0582afb4279879b7,Active Learning & its Applications,India,India,India,20.59368400,78.96288000,edu, d6b0a1f6dfb995436b45045b56e966d8e57b0990,Gait analysis and recognition for automated visual surveillance,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, d6143ddbee74c10996d291c666fa17bd87f9d4e2,CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, d6b1b0e60e1764982ef95d4ade8fcaa10bfb156a,A Sketch-based Approach for Multimedia Retrieval,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +d6b1b0e60e1764982ef95d4ade8fcaa10bfb156a,A Sketch-based Approach for Multimedia Retrieval,India,India,India,20.59368400,78.96288000,edu, d68dbb71b34dfe98dee0680198a23d3b53056394,VIVA Face-off Challenge : Dataset Creation and Balancing Privacy,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, d61e794ec22a4d4882181da17316438b5b24890f,Detecting Sensor Level Spoof Attacks Using Joint Encoding of Temporal and Spatial Features,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, d6335ef1bed414c62a4c3f1a7851bdff37e31e45,Comparing 3D Descriptors for Local Search of Craniofacial Landmarks,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, @@ -6916,8 +8438,12 @@ d666ce9d783a2d31550a8aa47da45128a67304a7,On Relating Visual Elements to City Sta d666ce9d783a2d31550a8aa47da45128a67304a7,On Relating Visual Elements to City Statistics,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, d666ce9d783a2d31550a8aa47da45128a67304a7,On Relating Visual Elements to City Statistics,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, d670583c4065132282dbcb4387ee6a83e85f8af1,"A Study of Question Effectiveness Using Reddit ""Ask Me Anything"" Threads",University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +d61578468d267c2d50672077918c1cda9b91429b,Face Image Retrieval Using Pose Specific Set Sparse Feature Representation,India,India,India,20.59368400,78.96288000,edu, +d61578468d267c2d50672077918c1cda9b91429b,Face Image Retrieval Using Pose Specific Set Sparse Feature Representation,India,India,India,20.59368400,78.96288000,edu, d69719b42ee53b666e56ed476629a883c59ddf66,Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, d69719b42ee53b666e56ed476629a883c59ddf66,Learning Facial Action Units from Web Images with Scalable Weakly Supervised Clustering,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, +d680cfe583fe61e49656cc7b9dbd480c6159cf0b,Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF,Romania,Romania,Romania,45.94316100,24.96676000,edu, +d64c362b631f0c94b22952e2d0860054f0854358,Offline Handwritten Devanagari Numeral Recognition Using Artificial Neural Network,India,India,India,20.59368400,78.96288000,edu, d6ca3dc01de060871839d5536e8112b551a7f9ff,Sleep-deprived fatigue pattern analysis using large-scale selfies from social media,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, d6ca3dc01de060871839d5536e8112b551a7f9ff,Sleep-deprived fatigue pattern analysis using large-scale selfies from social media,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, d6ca3dc01de060871839d5536e8112b551a7f9ff,Sleep-deprived fatigue pattern analysis using large-scale selfies from social media,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, @@ -6932,10 +8458,17 @@ d67dcaf6e44afd30c5602172c4eec1e484fc7fb7,Illumination Normalization for Robust F d6c4069044b976c48c384c4562338942a842cf55,3D Human Pose Estimation with 2D Marginal Heatmaps,La Trobe University,La Trobe University,"La Trobe University, Keck Street, Flora Hill, Bendigo, City of Greater Bendigo, Loddon Mallee, Victoria, 3550, Australia",-36.77847540,144.29804700,edu, d675a54dd5e353f99a1bec3b2ddab925a6563653,Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos,ETH Zurich,"Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu, d6b9c04bc7a1d410d3fc07e04113c7109429174b,Face Identification and Verification via ECOC,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +d6f2ba0856d007112974596a8a1cfd5c81269836,CLASSIFICATION OF TYPES OF SKIN LESIONS WITH TASK DECOMPOSITION METHOD,Panimalar Institute of Technology,Panimalar Institute of Technology,"No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu 600123, India",13.05281470,80.07491540,edu, +d6f2ba0856d007112974596a8a1cfd5c81269836,CLASSIFICATION OF TYPES OF SKIN LESIONS WITH TASK DECOMPOSITION METHOD,Panimalar Institute of Technology,Panimalar Institute of Technology,"No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu 600123, India",13.05281470,80.07491540,edu, +d6f2ba0856d007112974596a8a1cfd5c81269836,CLASSIFICATION OF TYPES OF SKIN LESIONS WITH TASK DECOMPOSITION METHOD,Panimalar Institute of Technology,Panimalar Institute of Technology,"No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu 600123, India",13.05281470,80.07491540,edu, +d6f2ba0856d007112974596a8a1cfd5c81269836,CLASSIFICATION OF TYPES OF SKIN LESIONS WITH TASK DECOMPOSITION METHOD,Panimalar Institute of Technology,Panimalar Institute of Technology,"No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai, Tamil Nadu 600123, India",13.05281470,80.07491540,edu, d6a799e64879290efb2a5c1b4f490737f0b1ab98,DSOD: Learning Deeply Supervised Object Detectors from Scratch,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +d6ad7334d6e2575d61f86f91b8edac8053af8c35,A framework for automatic question generation from text using deep reinforcement learning,India,India,India,20.59368400,78.96288000,edu, d6ad7334d6e2575d61f86f91b8edac8053af8c35,A framework for automatic question generation from text using deep reinforcement learning,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu, d6b2d4f1bc08dc3d3922fb43b1b8e3614349f539,"Burçin Buket Oğul in partial fulfillment of the requirements for the degree of Master of Science in Information Systems , Middle East Technical",Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognition System Based on Fusion of Face and Ear,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, +80e7f9bcaca98b65ce12ad7ce28c4b42e0712752,A New Affine Invariant Image Transform Based on Ridgelets,Finland,Finland,Finland,61.92411000,25.74815110,edu, +80e7f9bcaca98b65ce12ad7ce28c4b42e0712752,A New Affine Invariant Image Transform Based on Ridgelets,Finland,Finland,Finland,61.92411000,25.74815110,edu, 80f5443b0204f28c44ee2dd94e72f8dbfa22910d,Visual Object Categorization using Topic Models,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 80433f3c41f383abf495ff2b368616af6d545694,Robust Scene Text Detection with Convolution Neural Network Induced MSER Trees,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 80433f3c41f383abf495ff2b368616af6d545694,Robust Scene Text Detection with Convolution Neural Network Induced MSER Trees,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -6950,8 +8483,10 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 80f560e3e1b650e119dad40febfd4c692c441c2c,GazeGAN - Unpaired Adversarial Image Generation for Gaze Estimation,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, 8050f9b0f9ee0953e6125cd9b8211bb792953642,Pose and Shape Estimation with Discriminatively Learned Parts,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 80bd795930837330e3ced199f5b9b75398336b87,Relative forest for attribute prediction,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +80bd795930837330e3ced199f5b9b75398336b87,Relative forest for attribute prediction,China,China,China,35.86166000,104.19539700,edu, 806d7b97c3535a3c62ce243fe7008149062d14c1,Learning to Count with CNN Boosting,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 804d14a9033b4ff532ba39c2f7d0aeac8a5548f7,Towards Scalable Dataset Construction: An Active Learning Approach,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, +8032a89ba67e2b35e2789983426842f688c49a93,Matching-Constrained Active Contours,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 80471bb250eca1be53a455489e187c0152ac78b9,DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 80eab89ff1c5c2cfc1ea62e2088cfc9b62de8d35,Emergent Translation in Multi-Agent Communication,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 80eab89ff1c5c2cfc1ea62e2088cfc9b62de8d35,Emergent Translation in Multi-Agent Communication,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, @@ -6968,6 +8503,7 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 806f466034e0c3e609e672559e23d5d8bea6fe3d,Adaptive memory : The mnemonic value of contamination,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 8042b633b35aee9402bc2369b5c25413d2abc271,Nonnegative matrix factorization with α-divergence,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, 809ea255d144cff780300440d0f22c96e98abd53,ArcFace: Additive Angular Margin Loss for Deep Face Recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +809ea255d144cff780300440d0f22c96e98abd53,ArcFace: Additive Angular Margin Loss for Deep Face Recognition,China,China,China,35.86166000,104.19539700,edu, 809ea255d144cff780300440d0f22c96e98abd53,ArcFace: Additive Angular Margin Loss for Deep Face Recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 8000c4f278e9af4d087c0d0895fff7012c5e3d78,Multi-task warped Gaussian process for personalized age estimation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, 8027f50bbcee3938196c6d5519464df16c275f8d,On Human Motion Prediction Using Recurrent Neural Networks,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, @@ -6987,10 +8523,13 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 57ee3a8b0cafe211d1e9b477d210bb78b9d43bc1,Modeling the joint density of two images under a variety of transformations,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 57ee3a8b0cafe211d1e9b477d210bb78b9d43bc1,Modeling the joint density of two images under a variety of transformations,University of Frankfurt,University of Frankfurt,"Frankfurt University of Applied Sciences, Kleiststraße, Nordend West, Frankfurt, Regierungsbezirk Darmstadt, Hessen, 60318, Deutschland",50.13053055,8.69234224,edu, 57ee3a8b0cafe211d1e9b477d210bb78b9d43bc1,Modeling the joint density of two images under a variety of transformations,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +577b62afca4d5e9092228f20098da5df35ad3cdd,Canonical Correlated PCA method For Face Recognition,India,India,India,20.59368400,78.96288000,edu, +577b62afca4d5e9092228f20098da5df35ad3cdd,Canonical Correlated PCA method For Face Recognition,India,India,India,20.59368400,78.96288000,edu, 575d6a05bb27316ad677f19e79473e314e6c6f94,Stacked What-Where Auto-encoders,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu, 57f5711ca7ee5c7110b7d6d12c611d27af37875f,Illumination invariance for face verification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 57f5711ca7ee5c7110b7d6d12c611d27af37875f,Illumination invariance for face verification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 579f0108283f119227de6a485069cda3c7945fa3,Deep neural networks can be improved using human-derived contextual expectations,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +579f0108283f119227de6a485069cda3c7945fa3,Deep neural networks can be improved using human-derived contextual expectations,India,India,India,20.59368400,78.96288000,edu, 579f0108283f119227de6a485069cda3c7945fa3,Deep neural networks can be improved using human-derived contextual expectations,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 574ad7ef015995efb7338829a021776bf9daaa08,AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu, 57efdcf4d56f15846c9c5104ce2cd414532ced7d,"The development of the Athens Emotional States Inventory (AESI): collection, validation and automatic processing of emotionally loaded sentences.",University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, @@ -7002,13 +8541,20 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 57ec50237ee588d3b40640c4f98410cbd996ee84,Toward Guaranteed Illumination Models for Non-convex Objects,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 57ec50237ee588d3b40640c4f98410cbd996ee84,Toward Guaranteed Illumination Models for Non-convex Objects,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 572791e2f290dc0ecb05e56bfa714c4b7af79b08,Extended MHT algorithm for multiple object tracking,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +572791e2f290dc0ecb05e56bfa714c4b7af79b08,Extended MHT algorithm for multiple object tracking,China,China,China,35.86166000,104.19539700,edu, +572791e2f290dc0ecb05e56bfa714c4b7af79b08,Extended MHT algorithm for multiple object tracking,China,China,China,35.86166000,104.19539700,edu, 571f493c0ade12bbe960cfefc04b0e4607d8d4b2,Review on Content Based Image Retrieval : From Its Origin to the New Age,Mahatma Gandhi Institute of Technology,Mahatma Gandhi Institute of Technology,"Gandipet Main Rd, Kokapet, Hyderabad, Telangana 500075, India",17.39084720,78.32176670,edu, +571f493c0ade12bbe960cfefc04b0e4607d8d4b2,Review on Content Based Image Retrieval : From Its Origin to the New Age,India,India,India,20.59368400,78.96288000,edu, +571f493c0ade12bbe960cfefc04b0e4607d8d4b2,Review on Content Based Image Retrieval : From Its Origin to the New Age,India,India,India,20.59368400,78.96288000,edu, 5778d49c8d8d127351eee35047b8d0dc90defe85,Probabilistic Subpixel Temporal Registration for Facial Expression Analysis,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +57bfbd06e94c5def35c1dde901bb4f1c839dbcdf,Deep patch learning for weakly supervised object classification and discovery,China,China,China,35.86166000,104.19539700,edu, 57ebeff9273dea933e2a75c306849baf43081a8c,Deep Convolutional Network Cascade for Facial Point Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 57ebeff9273dea933e2a75c306849baf43081a8c,Deep Convolutional Network Cascade for Facial Point Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 57ebeff9273dea933e2a75c306849baf43081a8c,Deep Convolutional Network Cascade for Facial Point Detection,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 5727ac51ad6fb67d81cc3ef2c04440c179bd53ab,Oxytocin Attenuates Amygdala Responses to Emotional Faces Regardless of Valence,University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu, +5727ac51ad6fb67d81cc3ef2c04440c179bd53ab,Oxytocin Attenuates Amygdala Responses to Emotional Faces Regardless of Valence,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, 57730f7a3ba2439207e091ca2b2e89dd453cef13,Facial Expression Reactions to Feedback in a Human-Computer Interaction — Does Gender Matter ?,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu, +573c11e7e00389a033787984223ced536e15c904,Pictorial structures revisited: People detection and articulated pose estimation,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 57bf9888f0dfcc41c5ed5d4b1c2787afab72145a,Robust Facial Expression Recognition Based on Local Directional Pattern,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu, 5746dcc8164ab95dcf8569bd4f37dec58e1112a3,Recognizing Artificial Faces Using Wavelet Based Adapted Median Binary Patterns,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu, 570308801ff9614191cfbfd7da88d41fb441b423,Unsupervised Synchrony Discovery in Human Interaction,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, @@ -7030,7 +8576,11 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 57632f82553f34bce21cc8419bc5381d50096592,A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 57632f82553f34bce21cc8419bc5381d50096592,A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 57632f82553f34bce21cc8419bc5381d50096592,A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu, +571b83f7fc01163383e6ca6a9791aea79cafa7dd,SeqFace: Make full use of sequence information for face recognition,China,China,China,35.86166000,104.19539700,edu, +571b83f7fc01163383e6ca6a9791aea79cafa7dd,SeqFace: Make full use of sequence information for face recognition,China,China,China,35.86166000,104.19539700,edu, 57522ff758642e054d7c50753ec1c3fe598533f0,Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +57522ff758642e054d7c50753ec1c3fe598533f0,Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +572785b5d6f6fa4b174d79725f82c056b0fb4565,"Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art",Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 577c1d59e43f04a4bfda95b0b9e3b41d893bc0a2,Faster Evaluation of Labor-Intensive Features,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 57412e2966a04c106657c926bcfdcb5c3842444d,Camera and microphone array for 3D audiovisual face data collection,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 57412e2966a04c106657c926bcfdcb5c3842444d,Camera and microphone array for 3D audiovisual face data collection,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, @@ -7041,13 +8591,17 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 57861866a948ab1e1d61376c4d4b6b251e89dfeb,Contour-based Pedestrian Detection with Foreground Distribution Trend Filtering and Tracking,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, 57588971cfef4be8e0706f30cfafbf6c293fed3b,Semantic Autoencoder for Zero-Shot Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 57df27685196fad070bd2da14ed865fda87d93a9,Determining the best attributes for surveillance video keywords generation,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +9c7444c6949427994b430787a153d5cceff46d5c,Boosting Kernel Discriminative Common Vectors for Face Recognition,India,India,India,20.59368400,78.96288000,edu, 9c7444c6949427994b430787a153d5cceff46d5c,Boosting Kernel Discriminative Common Vectors for Face Recognition,Bharathidasan University,Bharathidasan University,"Bharathidasan University Road, Kajamalai, Ponmalai, Ponmalai Zone, Tiruchchirāppalli, Tiruchchirappalli district, Tamil Nadu, 620020, India",10.77788450,78.69663190,edu, 9c7ea2511c8aefdfd51ec25783b1b9dae9ab41e9,A Neurobiological Evaluation Metric for Neural Network Model Search,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 9c7ea2511c8aefdfd51ec25783b1b9dae9ab41e9,A Neurobiological Evaluation Metric for Neural Network Model Search,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 9c7ea2511c8aefdfd51ec25783b1b9dae9ab41e9,A Neurobiological Evaluation Metric for Neural Network Model Search,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 9c7ea2511c8aefdfd51ec25783b1b9dae9ab41e9,A Neurobiological Evaluation Metric for Neural Network Model Search,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +9c958322235a3ea1f239e3dde9bb865931cf34ed,Locality-Constrained Low-Rank Coding for Image Classification,China,China,China,35.86166000,104.19539700,edu, 9c958322235a3ea1f239e3dde9bb865931cf34ed,Locality-Constrained Low-Rank Coding for Image Classification,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 9c2ed5c50644723ec4c6d6e614928c9403f66dac,Gender Recognition from Face Images Using a Fusion of SVM Classifiers,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, +9c2ed5c50644723ec4c6d6e614928c9403f66dac,Gender Recognition from Face Images Using a Fusion of SVM Classifiers,University of Salerno,"Biometric and Image Processing Lab, University of Salerno, Via Ponte don Melillo, 84084, Fisciano, Italy","Via Giovanni Paolo II, 132, 84084 Fisciano SA, Italy",40.76871180,14.79201790,edu, +9c8a2d66b8fd6973751b8ee2fe6738327968cfcb,Exploring a model of far-from-equilibrium computation,Romania,Romania,Romania,45.94316100,24.96676000,edu, 9c9ba660ff8fdf74a81ceaae5ee2e590c7659cf8,Real-Time Pedestrian Tracking with Bacterial Foraging Optimization,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, 9cbb6e42a35f26cf1d19f4875cd7f6953f10b95d,Expression Recognition with Ri-HOG Cascade,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, 9cbb6e42a35f26cf1d19f4875cd7f6953f10b95d,Expression Recognition with Ri-HOG Cascade,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, @@ -7055,8 +8609,11 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 9cc43e3a756485b78b991605f44eec9be3530350,A Planar Light Probe,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 9c62f4b09ca590f74c75115184fc1a9833625edc,Empathic arousal and social understanding in individuals with autism: evidence from fMRI and ERP measurements.,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu, 9c1cdb795fd771003da4378f9a0585730d1c3784,Stacked Deformable Part Model with Shape Regression for Object Part Localization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +9c889616034adce2af05d74eac44cf43a8106468,Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9c513b0f304b1bb29de478a1227ddb201ed50217,A Simple and Effective Technique for Face Clustering in TV Series,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 9ca0626366e136dac6bfd628cec158e26ed959c7,In-the-wild Facial Expression Recognition in Extreme Poses,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, +9c07704226e536834c4a8c01e1eb428584bacec6,Benchmarking Single-Image Dehazing and Beyond,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +9c07704226e536834c4a8c01e1eb428584bacec6,Benchmarking Single-Image Dehazing and Beyond,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9c2aea0bd67c7fe232cca54ee2440b9d666479ea,Recycle-GAN: Unsupervised Video Retargeting,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 9ce6730aedbd4b6e05f157397be05b33893bd69f,A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu, 9ce6730aedbd4b6e05f157397be05b33893bd69f,A Multimodal Perception Framework for Users Emotional State Assessment in Social Robotics,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu, @@ -7070,11 +8627,18 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 9cadd166893f1b8aaecb27280a0915e6694441f5,Multi-Modal Emotion Recognition Fusing Video and Audio,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 9cadd166893f1b8aaecb27280a0915e6694441f5,Multi-Modal Emotion Recognition Fusing Video and Audio,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 9c71e6f4e27b3a6f0f872ec683b0f6dfe0966c05,"Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey",Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +9c71e6f4e27b3a6f0f872ec683b0f6dfe0966c05,"Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey",China,China,China,35.86166000,104.19539700,edu, 9c85d54a9f6c6a522a267bfdf375251947caef5e,Recognition of Blurred Faces via Facial Deblurring Combined with Blur-Tolerant Descriptors,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 9c85d54a9f6c6a522a267bfdf375251947caef5e,Recognition of Blurred Faces via Facial Deblurring Combined with Blur-Tolerant Descriptors,Institute of Industrial Science,Institute of Industrial Science,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, 9c85d54a9f6c6a522a267bfdf375251947caef5e,Recognition of Blurred Faces via Facial Deblurring Combined with Blur-Tolerant Descriptors,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 9c43b59177cb5539ea649c188387fe374663bbb1,Learning Discriminative Latent Attributes for Zero-Shot Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +9c43b59177cb5539ea649c188387fe374663bbb1,Learning Discriminative Latent Attributes for Zero-Shot Classification,China,China,China,35.86166000,104.19539700,edu, +9c43b59177cb5539ea649c188387fe374663bbb1,Learning Discriminative Latent Attributes for Zero-Shot Classification,China,China,China,35.86166000,104.19539700,edu, +9c43b59177cb5539ea649c188387fe374663bbb1,Learning Discriminative Latent Attributes for Zero-Shot Classification,China,China,China,35.86166000,104.19539700,edu, +9c1f5547d98f5390e2389ce40668da83a9830487,Non-parametric Structured Output Networks,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, +9c1f5547d98f5390e2389ce40668da83a9830487,Non-parametric Structured Output Networks,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 9c2e5e2ba7c5b3a555c6c72f518e3631aab23c19,RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +9c731b820c495904a6f7d255d7e6a3bf9e5fc365,Geometric inpainting of 3D structures,India,India,India,20.59368400,78.96288000,edu, 9c09b9410da8b1c5f0e3f6b65502160734214782,Pedestrian Attribute Detection using CNN,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 9c09b9410da8b1c5f0e3f6b65502160734214782,Pedestrian Attribute Detection using CNN,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 9c45ee00eede65dcce4098e15b7d005d9775c494,Vision for Robotics in Optimal Control and Reinforcement Learning Systems,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, @@ -7082,37 +8646,53 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 9c7d3d2a524aedb8bf687441f26dac5ed8c490c5,Visual Explanations from Hadamard Product in Multimodal Deep Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 9cd6be0907c28197c3be6d4bb2b6ebc40e4e4e3d,Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 9cd6be0907c28197c3be6d4bb2b6ebc40e4e4e3d,Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +9cd6be0907c28197c3be6d4bb2b6ebc40e4e4e3d,Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition,China,China,China,35.86166000,104.19539700,edu, 9cd6be0907c28197c3be6d4bb2b6ebc40e4e4e3d,Uncorrelated Multi-View Discrimination Dictionary Learning for Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 9c373438285101d47ab9332cdb0df6534e3b93d1,Occupancy Detection in Vehicles Using Fisher Vector Image Representation.,Xerox Research Center,Xerox Research Center,"Xerox Research Centre of Canada, 2660, Speakman Drive, Sheridan Park, Erin Mills, Ont., Peel Region, Ontario, L5J 2M4, Canada",43.51291090,-79.66640762,edu, 9c373438285101d47ab9332cdb0df6534e3b93d1,Occupancy Detection in Vehicles Using Fisher Vector Image Representation.,Xerox Research Center,Xerox Research Center,"Xerox Research Centre of Canada, 2660, Speakman Drive, Sheridan Park, Erin Mills, Ont., Peel Region, Ontario, L5J 2M4, Canada",43.51291090,-79.66640762,edu, 9c6354ea6db59508e0fe9b91eec6ea48507c9511,Quality Assessment for Crowdsourced Object Annotations,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +9c576520ed9c960270715f790a62b9337ce88bd2,Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking,India,India,India,20.59368400,78.96288000,edu, +9c1305383ce2c108421e9f5e75f092eaa4a5aa3c,RETRIEVAL FOR TV SHOW VIDEOS BY ASSOCIATING AUDIO SPEAKER RECOGNITION RESULT TO VISUAL FACES,China,China,China,35.86166000,104.19539700,edu, 9c1b132243e0dcacde1717ce1cfe730a74bd8cbc,Hippocampus Is Place of Interaction between Unconscious and Conscious Memories,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, 9cb3508b6abd62f741b60ad2d79510aeae81175f,Contextual Constraints Based Kernel Discriminant Analysis for Face Recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, 9cb3508b6abd62f741b60ad2d79510aeae81175f,Contextual Constraints Based Kernel Discriminant Analysis for Face Recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, +9cb3508b6abd62f741b60ad2d79510aeae81175f,Contextual Constraints Based Kernel Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +9cb3508b6abd62f741b60ad2d79510aeae81175f,Contextual Constraints Based Kernel Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 9cb3508b6abd62f741b60ad2d79510aeae81175f,Contextual Constraints Based Kernel Discriminant Analysis for Face Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 9c9ef6a46fb6395702fad622f03ceeffbada06e5,Exchanging Faces in Images,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, 9261e06e3455d2d46ca1459f3c82d6047e849649,Evaluation of image pre-processing techniques for eigenface based face recognition,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, -928ccc8c4ae415202d187a229009dd48e57871ba,Winner-Take-All Multiple Category Boosting for Multi-view Face Detection,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -928ccc8c4ae415202d187a229009dd48e57871ba,Winner-Take-All Multiple Category Boosting for Multi-view Face Detection,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +928ccc8c4ae415202d187a229009dd48e57871ba,Winner-Take-All Multiple Category Boosting for Multi-view Face Detection,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +928ccc8c4ae415202d187a229009dd48e57871ba,Winner-Take-All Multiple Category Boosting for Multi-view Face Detection,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 922838dd98d599d1d229cc73896d55e7a769aa7c,Learning hierarchical representations for face verification with convolutional deep belief networks,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 922838dd98d599d1d229cc73896d55e7a769aa7c,Learning hierarchical representations for face verification with convolutional deep belief networks,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 922838dd98d599d1d229cc73896d55e7a769aa7c,Learning hierarchical representations for face verification with convolutional deep belief networks,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, +92020e6540fe9feb38616334645a0ba28dcac69d,FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN,India,India,India,20.59368400,78.96288000,edu, +92020e6540fe9feb38616334645a0ba28dcac69d,FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN,India,India,India,20.59368400,78.96288000,edu, +92020e6540fe9feb38616334645a0ba28dcac69d,FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN,India,India,India,20.59368400,78.96288000,edu, 925b634cc26a8e74c2ee8889472a77e7af37874d,Shape Models of the Human Body for Distributed Inference,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 92104ae97d3b57489751528a315966c0242a6efb,Input Stage-1 : Regression Stage-2 : Contextual Copy-Pasting qi pi [ ] ... Pixel Representation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",China,China,China,35.86166000,104.19539700,edu, +92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",China,China,China,35.86166000,104.19539700,edu, 92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",China,China,China,35.86166000,104.19539700,edu, 92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +92017bf2df5f6532d39c624ea209f37bb6728097,"Attention Driven Face Recognition , Learning from Human Vision System",China,China,China,35.86166000,104.19539700,edu, +92be73dffd3320fe7734258961fe5a5f2a43390e,Transferring Face Verification Nets To Pain and Expression Regression,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 92be73dffd3320fe7734258961fe5a5f2a43390e,Transferring Face Verification Nets To Pain and Expression Regression,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu, +92be73dffd3320fe7734258961fe5a5f2a43390e,Transferring Face Verification Nets To Pain and Expression Regression,China,China,China,35.86166000,104.19539700,edu, 92be73dffd3320fe7734258961fe5a5f2a43390e,Transferring Face Verification Nets To Pain and Expression Regression,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 92a25b281f1637d125cefefcbfc382f48f456f4c,Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 92a25b281f1637d125cefefcbfc382f48f456f4c,Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, 925811b9fdd6c0d901bdd63245ead6a781f38bcb,Informed Haar-Like Features Improve Pedestrian Detection,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 92e464a5a67582d5209fa75e3b29de05d82c7c86,Reconstruction for Feature Disentanglement in Pose-invariant Face Recognition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 92b9c19da2c144257617e39bc8ace7293e710914,"Automatic Tracking, Super-Resolution and Recognition of Human Faces from Surveillance Video",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, +9283fa7a8c8a0c746f4d437ca14f80fdffe0fc99,A New Kernel Orthogonal Projection Analysis Approach for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 9283fa7a8c8a0c746f4d437ca14f80fdffe0fc99,A New Kernel Orthogonal Projection Analysis Approach for Face Recognition,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 928b8eb47288a05611c140d02441660277a7ed54,Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 926e97d5ce2a6e070f8ec07c5aa7f91d3df90ba0,Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu, 92166eb883b0505040c2d61c758985e5ec051f83,Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +92990ef7866ca906b595e2841e340725fb3ff8da,Generating Synthetic Data for Text Recognition,India,India,India,20.59368400,78.96288000,edu, 927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c,Learning Discriminative Features with Multiple Granularities for Person Re-Identification,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 928857c96ef837f43ec87135de69780f6667cc70,Reconstruction Network for Video Captioning,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, 92de2ed3805968d6d95da4fa9c44423ef50a6a37,SegStereo: Exploiting Semantic Information for Disparity Estimation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -7122,7 +8702,9 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 920246280e7e70900762ddfa7c41a79ec4517350,(MP) 2 T: multiple people multiple parts tracker,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 921f217ec696d233132e28d5a55ce76acca49382,Localisation via Deep Imagination: learn the features not the map,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 92891d260e46adeff84ec5ea0817c0b6a70c253d,Model-Based Gait Enrolment in Real-World Imagery,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +92980965514210b4f6dd074d122078d54684f724,Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 92f2c4f5583f0b58799f4834bc2808ee785e27f1,Kernel-based clustering of big data,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +9264b390aa00521f9bd01095ba0ba4b42bf84d7e,Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches,China,China,China,35.86166000,104.19539700,edu, 9264b390aa00521f9bd01095ba0ba4b42bf84d7e,Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches,University of Northern British Columbia,University of Northern British Columbia,"UNBC, Campus Ring Road, College Heights, Prince George, Regional District of Fraser-Fort George, British Columbia, V2M 5K7, Canada",53.89256620,-122.81471592,edu, 9264b390aa00521f9bd01095ba0ba4b42bf84d7e,Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches,Aberystwyth University,Aberystwyth University,"Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK",52.41073580,-4.05295501,edu, 9257c88484247ac19e25c34de2261d34e7a06b41,CoMaL Tracking: Tracking Points at the Object Boundaries,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -7130,14 +8712,20 @@ d69bd38f1c92afff7d14eb6f3cfed30f76ea2721,An Automated Multimodal Face Recognitio 924b14a9e36d0523a267293c6d149bca83e73f3b,Development and Evaluation of a Method Employed to Identify Internal State Utilizing Eye Movement Data,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu, 9294739e24e1929794330067b84f7eafd286e1c8,Expression Recognition Using Elastic Graph Matching,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 9294739e24e1929794330067b84f7eafd286e1c8,Expression Recognition Using Elastic Graph Matching,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +92a93693f43a49a7b320d5771c6afaff98b27864,Audio-visual signal processing in a multimodal assisted living environment,Russia,Russia,Russia,61.52401000,105.31875600,edu, +92a93693f43a49a7b320d5771c6afaff98b27864,Audio-visual signal processing in a multimodal assisted living environment,Russia,Russia,Russia,61.52401000,105.31875600,edu, 92574a72c660a86a7ded738a1350851f416bec03,Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, +92115b620c7f653c847f43b6c4ff0470c8e55dab,Training Deformable Object Models for Human Detection Based on Alignment and Clustering,University of Freiburg,"Social Robotics Lab, University of Freiburg, Germany","Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany",47.99354410,7.84594960,edu, 922cd0026bd6e5cf60f901f080c8bdddeae72c1a,Deep CNN Ensemble with Data Augmentation for Object Detection,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 922cd0026bd6e5cf60f901f080c8bdddeae72c1a,Deep CNN Ensemble with Data Augmentation for Object Detection,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 923ec0da8327847910e8dd71e9d801abcbc93b08,Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, 925e907458e7621ed4390db20d170e98d155d693,Question Answering under Instructor Guidance with Memory Networks,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, -92d5fd4ef31cf86a650c7b01c26f0ac93304f98a,Attention-Based Natural Language Person Retrieval,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +92d5fd4ef31cf86a650c7b01c26f0ac93304f98a,Attention-Based Natural Language Person Retrieval,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, +a3dc109b1dff3846f5a2cc1fe2448230a76ad83f,ACTIVE APPEARANCE MODEL AND PCA BASED FACE RECOGNITION SYSTEM,India,India,India,20.59368400,78.96288000,edu, +a3dc109b1dff3846f5a2cc1fe2448230a76ad83f,ACTIVE APPEARANCE MODEL AND PCA BASED FACE RECOGNITION SYSTEM,India,India,India,20.59368400,78.96288000,edu, a36c8a4213251d3fd634e8893ad1b932205ad1ca,Videos from the 2013 Boston Marathon : An Event Reconstruction Dataset for Synchronization and Localization,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a36f8947c7e33f73157d3ffb0660776403fc197c,3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +a36f8947c7e33f73157d3ffb0660776403fc197c,3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes,China,China,China,35.86166000,104.19539700,edu, a301ddc419cbd900b301a95b1d9e4bb770afc6a3,DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, a3f4f163e87b28901389e189bb7f0f655995793f,End-to-End Instance Segmentation and Counting with Recurrent Attention,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, a3f4f163e87b28901389e189bb7f0f655995793f,End-to-End Instance Segmentation and Counting with Recurrent Attention,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, @@ -7146,20 +8734,26 @@ a322479a6851f57a3d74d017a9cb6d71395ed806,Towards Pose Invariant Face Recognition a322479a6851f57a3d74d017a9cb6d71395ed806,Towards Pose Invariant Face Recognition in the Wild,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, a322479a6851f57a3d74d017a9cb6d71395ed806,Towards Pose Invariant Face Recognition in the Wild,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, a32d4195f7752a715469ad99cb1e6ebc1a099de6,The Potential of Using Brain Images for Authentication,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +a32d4195f7752a715469ad99cb1e6ebc1a099de6,The Potential of Using Brain Images for Authentication,China,China,China,35.86166000,104.19539700,edu, a37ff20bff5215b36317e7a2b52833b061d4e7cd,Uncertainty Adaptation in Robot Perception and Learning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a312599f9a842cf686c6cf80b770e05840d32a5a,MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, a39d318b68a2c262b6351a05f447dfcb0555da88,Facial Expression Recognition Based on Local Fourier Coefficients and Facial Fourier Descriptors,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, +a308ad39f3cc25096f493280319621a25c2c7f46,Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, a30d5b636086d80791578cbd0e0b02d87ab42d27,Actionness-Assisted Recognition of Actions,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, a353d425a602d04f1dfde2142650fe0fb5193159,An incremental structured part model for image classification,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +a353d425a602d04f1dfde2142650fe0fb5193159,An incremental structured part model for image classification,China,China,China,35.86166000,104.19539700,edu, a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, a35338cb4686cff66710b7f8102e5eabfc38adb8,Attribute-Augmented Semantic Hierarchy: Towards a Unified Framework for Content-Based Image Retrieval,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +a3d8b5622c4b9af1f753aade57e4774730787a00,Pose-Aware Person Recognition,India,India,India,20.59368400,78.96288000,edu, +a3177f82ea8391d9d733be47e4a0656a7b56e64c,Emotion Researcher ISRE ' s Sourcebook for Research on Emotion and Affect,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, a3fa023d7355662d066882df8dead0cac6a8321e,Material for “ Adversarial Inverse Graphics Networks : Learning 2 Dto-3 D Lifting and Image-to-Image Translation from Unpaired Supervision ”,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a36aa784e00d479bb0e6cb8aa6b6cd2dfeadfe1b,Evaluation of different features for face recognition in video,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, a34fb5c4b8b58ca19c376b1312e4d9955fe1d857,Deep Learning for Image Captioning,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +a361e820a85fa91f23091068f8177c58489304b1,Hard to “tune in”: neural mechanisms of live face-to-face interaction with high-functioning autistic spectrum disorder,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, a361e820a85fa91f23091068f8177c58489304b1,Hard to “tune in”: neural mechanisms of live face-to-face interaction with high-functioning autistic spectrum disorder,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, a32d54bbf8ede0a629dcb08323e77dec3ffa334b,"Automated Estimation of Human Age , Gender and Expression EE 368 Digital Image Processing Final Project Report",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, a303fca91c181f1084d94948169ab73c45e2073e,Impact of Small Groups with Heterogeneous Preference on Behavioral Evolution in Population Evacuation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -7173,13 +8767,20 @@ a3d78bc94d99fdec9f44a7aa40c175d5a106f0b9,Recognizing Violence in Movies CIS 400 a3d78bc94d99fdec9f44a7aa40c175d5a106f0b9,Recognizing Violence in Movies CIS 400 / 401 Project Final Report,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, a3d78bc94d99fdec9f44a7aa40c175d5a106f0b9,Recognizing Violence in Movies CIS 400 / 401 Project Final Report,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, a3d78bc94d99fdec9f44a7aa40c175d5a106f0b9,Recognizing Violence in Movies CIS 400 / 401 Project Final Report,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +a3be57fc74460463f03c2a14e81e7e62c05c692e,Object Detection,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, a3bc6020cd57ebe3a82a0b232f969bcc4e372e53,A hybrid feature extraction technique for face recognition,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, +a33262933df8534de571027d78ccd936bb9ec263,Real-Time Deep Learning Method for Abandoned Luggage Detection in Video,Romania,Romania,Romania,45.94316100,24.96676000,edu, +a33262933df8534de571027d78ccd936bb9ec263,Real-Time Deep Learning Method for Abandoned Luggage Detection in Video,Romania,Romania,Romania,45.94316100,24.96676000,edu, +a32f28156b47fd262e04426806037d138bb3ed0b,Fisher ’ s linear discriminant ( FLD ) and support vector machine ( SVM ) in non-negative matrix factorization ( NMF ) residual space for face recognition,China,China,China,35.86166000,104.19539700,edu, a3d11e98794896849ab2304a42bf83e2979e5fb5,In Defense of the Triplet Loss for Person Re-Identification,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, a3f684930c5c45fcb56a2b407d26b63879120cbf,LPM for Fast Action Recognition with Large Number of Classes,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, +a3f684930c5c45fcb56a2b407d26b63879120cbf,LPM for Fast Action Recognition with Large Number of Classes,China,China,China,35.86166000,104.19539700,edu, a3f68fe7c296f6fa6ad508d1cf19d0f01f50e63f,Surveillance Face Super-Resolution via Shape Clustering and Subspace Learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +a3f68fe7c296f6fa6ad508d1cf19d0f01f50e63f,Surveillance Face Super-Resolution via Shape Clustering and Subspace Learning,China,China,China,35.86166000,104.19539700,edu, +a3f68fe7c296f6fa6ad508d1cf19d0f01f50e63f,Surveillance Face Super-Resolution via Shape Clustering and Subspace Learning,China,China,China,35.86166000,104.19539700,edu, a3f68fe7c296f6fa6ad508d1cf19d0f01f50e63f,Surveillance Face Super-Resolution via Shape Clustering and Subspace Learning,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, a343bc9239a209af45c43f94b86651fd0074a364,Learning To Simulate,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, -a3d96844dc4fc3b51f3b8361c72f156800794251,BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +a3d96844dc4fc3b51f3b8361c72f156800794251,BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, a35dd69d63bac6f3296e0f1d148708cfa4ba80f6,Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, a3c93737a4497350768b0dda08dbc0826670dc5b,Diagnosing State-Of-The-Art Object Proposal Methods,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, a3b70bf7e676f92ebb6dec3e2889c9131634f8b9,Use of 3D faces facilitates facial expression recognition in children,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, @@ -7190,19 +8791,29 @@ a31a01827d809673a641877f21759633936d7da5,Reducing Network Agnostophobia,"Univers a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,China,China,China,35.86166000,104.19539700,edu, +a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,China,China,China,35.86166000,104.19539700,edu, +a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,China,China,China,35.86166000,104.19539700,edu, a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,Lehigh University,Lehigh University,"Lehigh University, Library Drive, Sayre Park, Bethlehem, Northampton County, Pennsylvania, 18015, USA",40.60680280,-75.37824880,edu, a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,China,China,China,35.86166000,104.19539700,edu, +a3be1951ddb2fa2682385c7f22c2904f5c22a66d,Traffic-Sign Detection and Classification in the Wild,China,China,China,35.86166000,104.19539700,edu, a33edec6f5e544cde888409fd028b468a2e0bfba,Robust Subspace Clustering via Half-Quadratic Minimization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, a360526696a2698ad31dfca4c529e098d2dbdbd1,Image Captioning with Semantic Attention,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, a3dab83995f27ec8d09cbc06fe815ade88232d10,Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, a3dab83995f27ec8d09cbc06fe815ade88232d10,Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, a3dab83995f27ec8d09cbc06fe815ade88232d10,Probabilistic Group Testing under Sum Observations: A Parallelizable 2-Approximation for Entropy Loss,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu, a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with Application to Face Detection and Recognition,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, +79033ec1b2c86034908febd444d6ed3c753e17b3,Face Recognition via Globality-Locality Preserving Projections,China,China,China,35.86166000,104.19539700,edu, +79033ec1b2c86034908febd444d6ed3c753e17b3,Face Recognition via Globality-Locality Preserving Projections,China,China,China,35.86166000,104.19539700,edu, +79033ec1b2c86034908febd444d6ed3c753e17b3,Face Recognition via Globality-Locality Preserving Projections,China,China,China,35.86166000,104.19539700,edu, 7969cc315bbafcd38a637eb8cd5d45ba897be319,An enhanced deep feature representation for person re-identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +7969cc315bbafcd38a637eb8cd5d45ba897be319,An enhanced deep feature representation for person re-identification,China,China,China,35.86166000,104.19539700,edu, 79a36b19ea363c14af27a1f4112a9eccdd582837,he scope of social attention deficits in autism : Prioritized orienting o people and animals in static natural scenes oshua,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 79a36b19ea363c14af27a1f4112a9eccdd582837,he scope of social attention deficits in autism : Prioritized orienting o people and animals in static natural scenes oshua,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 79eb2b3449b6601f3aa451d9fb94752dd969cba5,PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture,Khon Kaen University,Khon Kaen University,"มหาวิทยาลัยขอนแก่น, 4, บ้านหนองหัวช้าง, ขอนแก่น, จังหวัดขอนแก่น, 40002, ประเทศไทย",16.46007565,102.81211798,edu, 79eb2b3449b6601f3aa451d9fb94752dd969cba5,PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture,Khon Kaen University,Khon Kaen University,"มหาวิทยาลัยขอนแก่น, 4, บ้านหนองหัวช้าง, ขอนแก่น, จังหวัดขอนแก่น, 40002, ประเทศไทย",16.46007565,102.81211798,edu, +79bd7fd2b40aadea84bced07f813ffc28c88bc85,Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 794f76c111ba1a4ca718e84ae74ee8d2a67c4173,Ventromedial prefrontal cortex mediates visual attention during facial emotion recognition.,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 794f76c111ba1a4ca718e84ae74ee8d2a67c4173,Ventromedial prefrontal cortex mediates visual attention during facial emotion recognition.,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 794f76c111ba1a4ca718e84ae74ee8d2a67c4173,Ventromedial prefrontal cortex mediates visual attention during facial emotion recognition.,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, @@ -7214,16 +8825,22 @@ a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with 79f9a15b4e838d6db91249a85d72fadb07aee927,Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 799b9904f37a515a9614f6a92ff673c4c6e97a7f,Survey on Visual-Based Localization,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 79443a311d75fc0187314d21f8b065b33e5b41cd,The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents’ Exposure to Urban Greenness,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +79443a311d75fc0187314d21f8b065b33e5b41cd,The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents’ Exposure to Urban Greenness,China,China,China,35.86166000,104.19539700,edu, 79f7037675b3929dd2ee4ba989d3d26e63c9b9a7,CMOL CrossNets as Defect-Tolerant Classifiers,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 79894ddf290d3c7a768d634eceb7888564b5cf19,Query-Guided Regression Network with Context Policy for Phrase Grounding,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 79eb06c8acce1feef4a8654287d9cf5081e19600,Self-supervised learning of a facial attribute embedding from video,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +79eb06c8acce1feef4a8654287d9cf5081e19600,Self-supervised learning of a facial attribute embedding from video,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,China,China,China,35.86166000,104.19539700,edu, 79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,China,China,China,35.86166000,104.19539700,edu, 79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +79fa57dedafddd3f3720ca26eb41c82086bfb332,Modeling facial expression space for recognition,China,China,China,35.86166000,104.19539700,edu, 794ddb1f3b7598985d4d289b5b0664be736a50c4,Exploiting competition relationship for robust visual recognition,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 7965b2ce7d64991218515e20fc1fc0459fd20a38,Video-based Person Re-identification Using Spatial-Temporal Attention Networks,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, 7965b2ce7d64991218515e20fc1fc0459fd20a38,Video-based Person Re-identification Using Spatial-Temporal Attention Networks,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, 7965b2ce7d64991218515e20fc1fc0459fd20a38,Video-based Person Re-identification Using Spatial-Temporal Attention Networks,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, +79c959833ff49f860e20b6654dbf4d6acdee0230,Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 79db191ca1268dc88271abef3179c4fe4ee92aed,Facial Expression Based Automatic Album Creation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 79db191ca1268dc88271abef3179c4fe4ee92aed,Facial Expression Based Automatic Album Creation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 79db191ca1268dc88271abef3179c4fe4ee92aed,Facial Expression Based Automatic Album Creation,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, @@ -7249,6 +8866,7 @@ a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with 794d344d6aa97e3cb67a44739207aa9c1360db8d,Probabilistic Low-Rank Subspace Clustering,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 79cc0f893af976fe1052240518f47f3bee56c6f6,Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 79cc0f893af976fe1052240518f47f3bee56c6f6,Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig,Capital Normal University,Capital Normal University,"首都师范大学, 岭南路, 西冉村, 海淀区, 100048, 中国",39.92864575,116.30104052,edu, +79cc0f893af976fe1052240518f47f3bee56c6f6,Template Matching for Wide-Baseline Panoramic Images from a Vehicle-Borne Multi-Camera Rig,China,China,China,35.86166000,104.19539700,edu, 79e1b9e425621dd5a683026b7158479c10f6780a,Vehicle Detection Method Based on Edge Information and Local Transform Histogram,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, 79e1b9e425621dd5a683026b7158479c10f6780a,Vehicle Detection Method Based on Edge Information and Local Transform Histogram,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, 7958893d88c007d6569c1f2f9771d1c63b99422f,Structured Uncertainty Prediction Networks,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, @@ -7257,7 +8875,10 @@ a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with 7934c91f09e5bf819519d4348aafdda7c99267bb,Discovering gender differences in facial emotion recognition via implicit behavioral cues,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, 7934c91f09e5bf819519d4348aafdda7c99267bb,Discovering gender differences in facial emotion recognition via implicit behavioral cues,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 7934c91f09e5bf819519d4348aafdda7c99267bb,Discovering gender differences in facial emotion recognition via implicit behavioral cues,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +79ef25ed4863311000975b955651c0515fe38f45,Pyramid Attention Network for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, +79ef25ed4863311000975b955651c0515fe38f45,Pyramid Attention Network for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 79ef25ed4863311000975b955651c0515fe38f45,Pyramid Attention Network for Semantic Segmentation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +79ef25ed4863311000975b955651c0515fe38f45,Pyramid Attention Network for Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 1d2dab7790303bbe7894d0ff08ecf87d57b1fbca,A codebook-free and annotation-free approach for fine-grained image categorization,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 1d7df3df839a6aa8f5392310d46b2a89080a3c25,Large-Margin Softmax Loss for Convolutional Neural Networks,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 1d7df3df839a6aa8f5392310d46b2a89080a3c25,Large-Margin Softmax Loss for Convolutional Neural Networks,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, @@ -7271,11 +8892,16 @@ a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with 1dc241ee162db246882f366644171c11f7aed96d,Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 1da7d851c8d6761b4e1ab3e037596969a295ae50,Fast search in Hamming space with multi-index hashing,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 1d21e5beef23eecff6fff7d4edc16247f0fd984a,Face Recognition from Video Using the Generic Shape-Illumination Manifold,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +1da09ba7340c77b3f943c15f80ff40f6f9d14eeb,MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 1da09ba7340c77b3f943c15f80ff40f6f9d14eeb,MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 1df9065beb51e6ad58efe9c2e7c18a1ce144e569,Fairness Through Computationally-Bounded Awareness,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 1df9065beb51e6ad58efe9c2e7c18a1ce144e569,Fairness Through Computationally-Bounded Awareness,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 1df9065beb51e6ad58efe9c2e7c18a1ce144e569,Fairness Through Computationally-Bounded Awareness,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, +1dc4b5e93233fc632b070c8ff282ef0fe9141f64,2-D Structure-Based Gait Recognition in Video Using Incremental GMM-HMM,China,China,China,35.86166000,104.19539700,edu, 1d1caaa2312390260f7d20ad5f1736099818d358,Resource-Allocating Codebook for patch-based face recognition,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +1d5901662dc4fa5be2375f35be07b4116fd450ea,The Effects of Prediction on the Perception for Own-Race and Other-Race Faces,China,China,China,35.86166000,104.19539700,edu, +1d5901662dc4fa5be2375f35be07b4116fd450ea,The Effects of Prediction on the Perception for Own-Race and Other-Race Faces,China,China,China,35.86166000,104.19539700,edu, +1d5901662dc4fa5be2375f35be07b4116fd450ea,The Effects of Prediction on the Perception for Own-Race and Other-Race Faces,China,China,China,35.86166000,104.19539700,edu, 1dea4f56c04d12abbc9e1ed7c48c7ccc09e7f5bb,How magic changes our expectations about autism.,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, 1d630cc482f7a261738eb8b3b2021cf27c38370e,Robust Pedestrian Classification Based on Hierarchical Kernel Sparse Representation,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, 1d630cc482f7a261738eb8b3b2021cf27c38370e,Robust Pedestrian Classification Based on Hierarchical Kernel Sparse Representation,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, @@ -7292,54 +8918,83 @@ a32878e85941b5392d58d28e5248f94e16e25d78,Quality Classified Image Analysis with 1d5aad4f7fae6d414ffb212cec1f7ac876de48bf,Face retriever: Pre-filtering the gallery via deep neural net,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 1dbcf2181cb9890397c88c7cba20941af9019a20,Models for Apparent Personality Trait Regression,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu, 1dede3e0f2e0ed2984aca8cd98631b43c3f887b9,A vote of confidence based interest point detector,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +1dd26846e8b42e2da92b5977f8a6050f2f92f388,Robust Curb Detection with Fusion of 3D-Lidar and Camera Data,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 1dd26846e8b42e2da92b5977f8a6050f2f92f388,Robust Curb Detection with Fusion of 3D-Lidar and Camera Data,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 1dd26846e8b42e2da92b5977f8a6050f2f92f388,Robust Curb Detection with Fusion of 3D-Lidar and Camera Data,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 1d911007a6f2832e006773f247fad1f729d1c6ae,Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 1d3d05e294bb522b653bc6d11cb92d5c4140e41b,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 1d3d05e294bb522b653bc6d11cb92d5c4140e41b,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 1d3d05e294bb522b653bc6d11cb92d5c4140e41b,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +1d3d05e294bb522b653bc6d11cb92d5c4140e41b,"AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond",China,China,China,35.86166000,104.19539700,edu, 1da2431a799f68888b7e035fe49fe47a4735b71b,Leveraging Video Descriptions to Learn Video Question Answering,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 1da2431a799f68888b7e035fe49fe47a4735b71b,Leveraging Video Descriptions to Learn Video Question Answering,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 1d81fe4a386a7d96b256eac41b99604cd132e019,Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 1d0ee1069bd433b5f754d70517d2e0fcc519515c,Propagative hough voting for human activity recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 1d3dd9aba79a53390317ec1e0b7cd742cba43132,A maximum entropy feature descriptor for age invariant face recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 1d3dd9aba79a53390317ec1e0b7cd742cba43132,A maximum entropy feature descriptor for age invariant face recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +1d3dd9aba79a53390317ec1e0b7cd742cba43132,A maximum entropy feature descriptor for age invariant face recognition,China,China,China,35.86166000,104.19539700,edu, 1d3dd9aba79a53390317ec1e0b7cd742cba43132,A maximum entropy feature descriptor for age invariant face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 1db8bfaf4e74b68f5501642a823e5b87dbc1fbfb,The SFU Mountain Dataset : Semi-Structured Woodland Trails Under Changing Environmental Conditions,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, +1da83903c8d476c64c14d6851c85060411830129,Iterated Support Vector Machines for Distance Metric Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1da83903c8d476c64c14d6851c85060411830129,Iterated Support Vector Machines for Distance Metric Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1d19c6857e798943cd0ecd110a7a0d514c671fec,Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +1d87a5a458e5fdcfc70e1a444903bb6d7bb0ca38,Biometric Approach to Facial Signature Authentication using Thermal Imaging B,India,India,India,20.59368400,78.96288000,edu, +1d87a5a458e5fdcfc70e1a444903bb6d7bb0ca38,Biometric Approach to Facial Signature Authentication using Thermal Imaging B,India,India,India,20.59368400,78.96288000,edu, 1d5f22e73aa0d8115af0be61fc8832de501f4a1b,Comparison of 3D Scanning Versus 2D Photography for the Identification of Facial Soft-Tissue Landmarks,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +1d5f22e73aa0d8115af0be61fc8832de501f4a1b,Comparison of 3D Scanning Versus 2D Photography for the Identification of Facial Soft-Tissue Landmarks,China,China,China,35.86166000,104.19539700,edu, 1d8c720c95096981edcdfe57941123dca515eb34,Video-Based Person Re-identification by Deep Feature Guided Pooling,Beijing University of Technology,Beijing University of Technology,"北京工业大学, 银杏大道, 大郊亭村, 朝阳区 / Chaoyang, 北京市, 3208, 中国",39.87391435,116.47722285,edu, +1d8c720c95096981edcdfe57941123dca515eb34,Video-Based Person Re-identification by Deep Feature Guided Pooling,China,China,China,35.86166000,104.19539700,edu, +1d8c720c95096981edcdfe57941123dca515eb34,Video-Based Person Re-identification by Deep Feature Guided Pooling,"Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China","Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China","Beijing, China",39.90419990,116.40739630,edu, 1d8c720c95096981edcdfe57941123dca515eb34,Video-Based Person Re-identification by Deep Feature Guided Pooling,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 1dfa8cce7b8dfd4b954d3fd90bef7bf569c87fb8,Robust object tracking in crowd dynamic scenes using explicit stereo depth,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 1dfa8cce7b8dfd4b954d3fd90bef7bf569c87fb8,Robust object tracking in crowd dynamic scenes using explicit stereo depth,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +1d251acc459931d927f5befdfb5b9cdf643cd8bc,Bayesian Compression for Natural Language Processing,Russia,Russia,Russia,61.52401000,105.31875600,edu, 1d696a1beb42515ab16f3a9f6f72584a41492a03,"Deeply learned face representations are sparse, selective, and robust",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1d696a1beb42515ab16f3a9f6f72584a41492a03,"Deeply learned face representations are sparse, selective, and robust",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1d696a1beb42515ab16f3a9f6f72584a41492a03,"Deeply learned face representations are sparse, selective, and robust",Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +1dca6a54d201dd56b41a5475aaf498a207083b0e,Ego-surfing first person videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1daf148a6d5d86e8cbe76a13311514f1338bdb0d,Image Inpainting via Generative Multi-column Convolutional Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1d82e7736268917cc3d87a2ee0896b03e02a5ff6,The Promise of Premise: Harnessing Question Premises in Visual Question Answering,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 1d97735bb0f0434dde552a96e1844b064af08f62,Weber binary pattern and Weber ternary pattern for illumination-robust face recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +1d97735bb0f0434dde552a96e1844b064af08f62,Weber binary pattern and Weber ternary pattern for illumination-robust face recognition,China,China,China,35.86166000,104.19539700,edu, 1d9b6745c0fd793db6dda8975b498ca517961d25,Visual Reasoning with Natural Language,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,China,China,China,35.86166000,104.19539700,edu, 1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,China,China,China,35.86166000,104.19539700,edu, 1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +1ddacefa549de21f734f43016115ce7d54ab3d94,Supervised hashing with latent factor models,China,China,China,35.86166000,104.19539700,edu, 1d93f7de9f6d2daa77d844dd928aaa1e699ed312,Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 1df84bf495d15569258513f229325d922b91e045,Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 1df84bf495d15569258513f229325d922b91e045,Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 1df84bf495d15569258513f229325d922b91e045,Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +1d4e0427dffec6ac75b96a564986046ea2b00980,Eye Controlled Robotic Motion Using Video Tracking In Real Time,India,India,India,20.59368400,78.96288000,edu, +1d4e0427dffec6ac75b96a564986046ea2b00980,Eye Controlled Robotic Motion Using Video Tracking In Real Time,India,India,India,20.59368400,78.96288000,edu, 1dc35905a1deff8bc74688f2d7e2f48fd2273275,Pedestrian detection: A benchmark,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +1dc35905a1deff8bc74688f2d7e2f48fd2273275,Pedestrian detection: A benchmark,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 1d0dcb458aa4d30b51f7c74b159be687f39120a0,Pose-Driven Deep Convolutional Model for Person Re-identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 1d0dcb458aa4d30b51f7c74b159be687f39120a0,Pose-Driven Deep Convolutional Model for Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 1d0dcb458aa4d30b51f7c74b159be687f39120a0,Pose-Driven Deep Convolutional Model for Person Re-identification,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 1de800d988f32380c54e430636ebf8913eadcc98,Predicting Images using Convolutional Networks : Visual Scene Understanding with Pixel Maps,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, +1dff919e51c262c22630955972968f38ba385d8a,Toward an Affect-Sensitive Multimodal Human – Computer Interaction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1dad684de1ce4c013ba04eb4b1a70355b3786ecd,Is Someone There ? Where ? ( Looking for People ),Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 1de62c96f042ca0f5f7eb22c2f3cec4a6881b548,On the Two-View Geometry of Unsynchronized Cameras,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, +1de62c96f042ca0f5f7eb22c2f3cec4a6881b548,On the Two-View Geometry of Unsynchronized Cameras,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu, +1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,China,China,China,35.86166000,104.19539700,edu, +1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,China,China,China,35.86166000,104.19539700,edu, 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu, 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu, +1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,China,China,China,35.86166000,104.19539700,edu, 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu, 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu, 1df1aa9179506554744bf16b238d05ebd1e2d4d5,Abnormality in face scanning by children with autism spectrum disorder is limited to the eye region: evidence from multi-method analyses of eye tracking data.,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 1d0128b9f96f4c11c034d41581f23eb4b4dd7780,Automatic construction Of robust spherical harmonic subspaces,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 1d1603a1ec73a9a0ff972f3898c94eed2c741e51,Pose Guided Person Image Generation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, @@ -7362,11 +9017,13 @@ d31bf8f6f9404a0ab2e601e723b9a07287d0693b,Feature Space Reduction for Face Recogn d377e648734f429ae50c889c43b7b2e9c5ca2d66,"Development of face discrimination abilities, and relationship to magnocellular pathway development, between childhood and adulthood.",Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, d3b832f3c4e8b6d81eac24d6e070f756b9e8a7a1,Examples-Rules Guided Deep Neural Network for Makeup Recommendation,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, d3b0839324d0091e70ce34f44c979b9366547327,Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +d3d887aebeeae44cefd5c2bdbb388d9ce109e335,Image Manipulation with Perceptual Discriminators,Russia,Russia,Russia,61.52401000,105.31875600,edu, d38af10096aa90dfccd7e4cec9757900bf6958bd,MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, d3424761e06a8f5f3c1f042f1f1163a469872129,"Pose-invariant, model-based object recognition, using linear combination of views and Bayesian statistics",University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, d31af74425719a3840b496b7932e0887b35e9e0d,A Multimodal Deep Log-Based User Experience (UX) Platform for UX Evaluation,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu, d3dcdd5bd1592ff8555629068e046ce0741d6062,Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach,"CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA d3dcdd5bd1592ff8555629068e046ce0741d6062,Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +d3dcdd5bd1592ff8555629068e046ce0741d6062,Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, d3dcdd5bd1592ff8555629068e046ce0741d6062,Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach,"Australian National University, Canberra","Australian National University, Canberra","Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia",-35.28121335,149.11665331,edu, d38559f22b91f63ec8a70190b6b7e04cc1e95d77,Analyzing SLAM Algorithm Performance for Tracking in Augmented Reality Systems,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, d37013e4ce0f5dd6b61a4ffadecc401274966602,Reading affect in the face and voice: neural correlates of interpreting communicative intent in children and adolescents with autism spectrum disorders.,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, @@ -7384,8 +9041,10 @@ d3a1322c988b50049986365c27dcfce42828d2ca,van Gent Clustering Faces from the Nati d3a79b434347bbb94f8f199c702862905ebcaf38,Automatic Face Detection Using Color Based Segmentation,Thapar University,Thapar University,"Thapar University, Hostel Road, Patiala, Punjab, 147001, India",30.35566105,76.36581641,edu, d3200d49a19a4a4e4e9745ee39649b65d80c834b,Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, d3015812feb640c79ca8a098e7e27c35f4355ede,Online Nearest Neighbor Search in Hamming Space,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +d33fcdaf2c0bd0100ec94b2c437dccdacec66476,Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, d3edbfe18610ce63f83db83f7fbc7634dde1eb40,Large Graph Hashing with Spectral Rotation,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, d372629db7d6516c4729c847eb3f6484ee86de94,The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +d3c004125c71942846a9b32ae565c5216c068d1e,Recognizing Age-Separated Face Images: Humans and Machines,India,India,India,20.59368400,78.96288000,edu, d3d37a44a7a0453445e6e433a527b0164ec99b88,Efficient use of geometric constraints for sliding-window object detection in video,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, d35534f3f59631951011539da2fe83f2844ca245,Semantically Decomposing the Latent Spaces of Generative Adversarial Networks,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, d35534f3f59631951011539da2fe83f2844ca245,Semantically Decomposing the Latent Spaces of Generative Adversarial Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -7403,8 +9062,14 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 8f48c9ca2ea3101083be19344633372fe1a2efcd,Distinctive-attribute Extraction for Image Captioning,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu, 8f4a8ba4046acc9a69583b53e1bdaa579e62c42b,Personalized Dynamics Models for Adaptive Assistive Navigation Interfaces,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 8f4a8ba4046acc9a69583b53e1bdaa579e62c42b,Personalized Dynamics Models for Adaptive Assistive Navigation Interfaces,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +8f00c57218b413440bc99bcd1b2a9dce369f0f4f,Role of Active Pixels for Efficient Face Recognition on Mobile Environment,India,India,India,20.59368400,78.96288000,edu, +8f00c57218b413440bc99bcd1b2a9dce369f0f4f,Role of Active Pixels for Efficient Face Recognition on Mobile Environment,India,India,India,20.59368400,78.96288000,edu, +8f00c57218b413440bc99bcd1b2a9dce369f0f4f,Role of Active Pixels for Efficient Face Recognition on Mobile Environment,India,India,India,20.59368400,78.96288000,edu, +8f00c57218b413440bc99bcd1b2a9dce369f0f4f,Role of Active Pixels for Efficient Face Recognition on Mobile Environment,India,India,India,20.59368400,78.96288000,edu, +8fbe68810cbc53521395829620060cf9558231cc,Learning Discriminant Person-Specific Facial Models Using Expandable Graphs,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8f89d6ef6c9e3ee4883595f94b38ab01d05d7b21,CR-GAN: Learning Complete Representations for Multi-view Generation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 8f89d6ef6c9e3ee4883595f94b38ab01d05d7b21,CR-GAN: Learning Complete Representations for Multi-view Generation,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, +8fa290b5d92c1f427edb62d29988056383e02047,Absence of preferential unconscious processing of eye contact in adolescents with autism spectrum disorder.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 8fa290b5d92c1f427edb62d29988056383e02047,Absence of preferential unconscious processing of eye contact in adolescents with autism spectrum disorder.,Tokyo Denki University,Tokyo Denki University,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, 8fa290b5d92c1f427edb62d29988056383e02047,Absence of preferential unconscious processing of eye contact in adolescents with autism spectrum disorder.,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 8fa290b5d92c1f427edb62d29988056383e02047,Absence of preferential unconscious processing of eye contact in adolescents with autism spectrum disorder.,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, @@ -7415,6 +9080,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 8fe99c3d5ad9af54641dcd6b55e2b083a363d515,Fashion and Apparel Classification using Convolutional Neural Networks,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu, 8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8,Age Estimation Using Expectation of Label Distribution Learning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8,Age Estimation Using Expectation of Label Distribution Learning,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +8f89aed13cb3555b56fccd715753f9ea72f27f05,Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8f7e881d1f63c3a0367266eb65d8238453f01fdd,Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, 8f5ce25e6e1047e1bf5b782d045e1dac29ca747e,A Novel Discriminant Non-Negative Matrix Factorization Algorithm With Applications to Facial Image Characterization Problems,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 8fed5ea3b69ea441a8b02f61473eafee25fb2374,Two-Dimensional PCA with F-Norm Minimization,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, @@ -7425,6 +9091,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 8f717afc3bffca1521b45c402aac576ae3263cf5,Visually Fingerprinting Humans without Face Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 8f717afc3bffca1521b45c402aac576ae3263cf5,Visually Fingerprinting Humans without Face Recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 8f717afc3bffca1521b45c402aac576ae3263cf5,Visually Fingerprinting Humans without Face Recognition,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, +8f5a2750f7ed015efa85887db3f6c6d2c0cb7b11,Social perception in synaesthesia Social perception in synaesthesia for colour,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 8f5a2750f7ed015efa85887db3f6c6d2c0cb7b11,Social perception in synaesthesia Social perception in synaesthesia for colour,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, 8f5a2750f7ed015efa85887db3f6c6d2c0cb7b11,Social perception in synaesthesia Social perception in synaesthesia for colour,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, 8f5a2750f7ed015efa85887db3f6c6d2c0cb7b11,Social perception in synaesthesia Social perception in synaesthesia for colour,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, @@ -7437,6 +9104,8 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 8f3d5f9ad240c186971edc652f8385dc2a53d2eb,Model-Based Background Subtraction System Application Domain : Pedestrian Tracking,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 8f0b2d24dab016764eebeaa2070d31801948f6f5,Unified Perceptual Parsing for Scene Understanding,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 8f0b2d24dab016764eebeaa2070d31801948f6f5,Unified Perceptual Parsing for Scene Understanding,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, +8f3e3f0f97844d3bfd9e9ec566ac7a54f6931b09,"A Survey on Human Emotion Recognition Approaches, Databases and Applications",India,India,India,20.59368400,78.96288000,edu, +8f3e3f0f97844d3bfd9e9ec566ac7a54f6931b09,"A Survey on Human Emotion Recognition Approaches, Databases and Applications",India,India,India,20.59368400,78.96288000,edu, 8faa4f2e287ff1bcaba2e0cd84d82a66bb2982f5,Pedestrian Detection with RCNN,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 8f3da45ff0c3e1777c3a7830f79c10f5896bcc21,Riding Role Agent Vehicle Place Role Agent Vehicle Place Value Man Horse outside Value Dog Skateboard,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 8f5facdc0a2a79283864aad03edc702e2a400346,Human Age Estimation Framework using Bio-Inspired Features for Facial Image,Bangalore Institute of Technology,Bangalore Institute of Technology,"Bangalore Institute of Technology, Krishna Rajendra Road, Mavalli, Vishveshwara Puram, South Zone, Bengaluru, Bangalore Urban, Karnataka, 560004, India",12.95512590,77.57419850,edu, @@ -7450,6 +9119,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 8f8a5be9dc16d73664285a29993af7dc6a598c83,Neural Network based Face Recognition with Gabor Filters,Jahangirnagar University,Jahangirnagar University,"Jahangirnagar University, 1342, University Main Road, সাভার, সাভার উপজেলা, ঢাকা জেলা, ঢাকা বিভাগ, 1342, বাংলাদেশ",23.88331200,90.26939210,edu, 8f81eb82cd046891c88163bc7b472dcc779f5f08,TokyoTechCanon at TRECVID 2012,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 8f48b2da711417d1f1f39069501577c84abb8d37,Elevated amygdala response to faces and gaze aversion in autism spectrum disorder.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, +8f4c8a80e94a883356ee4c4425324dac5457661a,Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8f1758a6b6e01f6a866c1a1302e20886796da390,Incremental Face-Specific Subspace for Online-Learning Face Recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 8f19b4212d0fbd955f8a464530188ce68d0a87fa,Photorealistic Facial Synthesis in the Dimensional Affect Space,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 8f19b4212d0fbd955f8a464530188ce68d0a87fa,Photorealistic Facial Synthesis in the Dimensional Affect Space,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, @@ -7459,6 +9129,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 91bfea1584199561ff0e4788722457502c61e762,Multi-class Co-training Learning for Object and Scene Recognition,Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu, 9103148dd87e6ff9fba28509f3b265e1873166c9,Face Analysis using 3 D Morphable Models,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 9103148dd87e6ff9fba28509f3b265e1873166c9,Face Analysis using 3 D Morphable Models,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +912f1f57a010194047b6438cc1ea6bec95c6c2b8,ContextVP: Fully Context-Aware Video Prediction,"ETH Zurich, Zurich, Switzerland","ETH Zurich, Zurich, Switzerland","Technoparkstrasse 1, 8005 Zürich, Switzerland",47.39005860,8.51632480,edu, 919b1f80f818c2c1710a674536d4957890bbfd82,Targeted Kernel Networks: Faster Convolutions with Attentive Regularization,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 91e507d2d8375bf474f6ffa87788aa3e742333ce,Robust face recognition using probabilistic facial trait code,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 91f9f6623abc51086183cf1d2ea9954f503061fe,A2-Nets: Double Attention Networks,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, @@ -7466,6 +9137,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 91f9f6623abc51086183cf1d2ea9954f503061fe,A2-Nets: Double Attention Networks,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 91f9f6623abc51086183cf1d2ea9954f503061fe,A2-Nets: Double Attention Networks,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 919d0e681c4ef687bf0b89fe7c0615221e9a1d30,To my wife Soheila and my little daughter Niloufar,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, +91c014ff243ea747ea3a84a9efd4a3e38a7217ee,Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 91d216e72a774b10c1eac9bce5b1046fac8c8a97,Garments Texture Design Class Identification Using Deep Convolutional Neural Network,University of Dhaka,University of Dhaka,"World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, জিগাতলা, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.73169570,90.39652750,edu, 91495c689e6e614247495c3f322d400d8098de43,A Deep-Learning Approach to Facial Expression Recognition with Candid Images,CUNY City College,CUNY City College,"CUNY City College, 205 East 42nd Street, New York, NY 10017",45.55466080,5.40652550,edu, 91ea1d8f11c4e3a20234888f6ea5309678975563,Disconnected Manifold Learning for Generative Adversarial Networks,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, @@ -7486,12 +9158,14 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 919327d4f264775bd4ab2923d7786d5b2c859409,An X-T slice based method for action recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 9114f5247562c0a71ea9aef23d474e06dd96d8cb,Neural Sign Language Translation,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 9114f5247562c0a71ea9aef23d474e06dd96d8cb,Neural Sign Language Translation,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, -9107543d9a9d915c92fe4139932c5d818cfc187d,INVESTIGATION OF NEW TECHNIQUES FOR FACE DETECTION,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +9107543d9a9d915c92fe4139932c5d818cfc187d,INVESTIGATION OF NEW TECHNIQUES FOR FACE DETECTION,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, 9151f229e7b4e318b0b12afe99993da0ee5e0e34,Adversarial Multi-task Learning for Text Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 9151f229e7b4e318b0b12afe99993da0ee5e0e34,Adversarial Multi-task Learning for Text Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +9151f229e7b4e318b0b12afe99993da0ee5e0e34,Adversarial Multi-task Learning for Text Classification,China,China,China,35.86166000,104.19539700,edu, 91bf682708317b1c84365ce9589c4c1d9fc014e8,Style Separation and Synthesis via Generative Adversarial Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 91bf682708317b1c84365ce9589c4c1d9fc014e8,Style Separation and Synthesis via Generative Adversarial Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 91bf682708317b1c84365ce9589c4c1d9fc014e8,Style Separation and Synthesis via Generative Adversarial Networks,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +91ee88754cc7a193d51656a3b53e16389bf4aadb,Fast and accurate algorithm for eye localisation for gaze tracking in low-resolution images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 910524c0d0fe062bf806bb545627bf2c9a236a03,Improvement of Facial Expression Recognition through the Evaluation of Dynamic and Static Features in Video Sequences,Otto von Guericke University,Otto von Guericke University,"Otto-von-Guericke-Universität Magdeburg, 2, Universitätsplatz, Krökentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland",52.14005065,11.64471248,edu, 910524c0d0fe062bf806bb545627bf2c9a236a03,Improvement of Facial Expression Recognition through the Evaluation of Dynamic and Static Features in Video Sequences,Otto von Guericke University,Otto von Guericke University,"Otto-von-Guericke-Universität Magdeburg, 2, Universitätsplatz, Krökentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland",52.14005065,11.64471248,edu, 911ee14fbd3f0b9ccbd91090fbe4aa65d73f46f5,AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks.,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, @@ -7506,18 +9180,22 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 912f107002506ab8c7ae411c8d34c200ba567b02,Optimal UV spaces for facial morphable model construction,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 916498961a51f56a592c3551b0acc25978571fa7,Optimal landmark detection using shape models and branch and bound,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, 916498961a51f56a592c3551b0acc25978571fa7,Optimal landmark detection using shape models and branch and bound,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, +91f2b2aeb7e65d0b673ed7e782488b3365027979,NUS-PRO: A New Visual Tracking Challenge,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +914fd65d29094e434346806bdddeb17d9468610d,SCENE TEXT RECOGNITION IN MOBILE APPLICATIONS BY CHARACTER DESCRIPTOR AND STRUCTURE CONFIGURATION,India,India,India,20.59368400,78.96288000,edu, 9184b0c04013bfdfd82f4f271b5f017396c2f085,Semantic Segmentation for Line Drawing Vectorization Using Neural Networks,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 919a0ff94dc43f2afbb4d165ed061c9e89436968,Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +919a0ff94dc43f2afbb4d165ed061c9e89436968,Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks,China,China,China,35.86166000,104.19539700,edu, 91a4ebf1ca0314a74c436729700ef09bddaa6222,Detailed Human Avatars from Monocular Video,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 9114fa9c4e3c2fc310b6e265636ba9acf6cc689c,Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 9194c206269a09c251cb3d1c878f9f11639b053a,A New Feature Extraction Method Based on the Information Fusion of Entropy Matrix and Covariance Matrix and Its Application in Face Recognition,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, 91b8f1e4299b0f7ad716ece76565c6689d5d1b98,"How clever is the FiLM model, and how clever can it be?",University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 91b8f1e4299b0f7ad716ece76565c6689d5d1b98,"How clever is the FiLM model, and how clever can it be?",University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 91b8f1e4299b0f7ad716ece76565c6689d5d1b98,"How clever is the FiLM model, and how clever can it be?",University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +9131c990fad219726eb38384976868b968ee9d9c,Deep Facial Expression Recognition: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 91c184e7fb0c7cce5319b8db85c1488b3861976f,Visual Question Answer Diversity,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 91c184e7fb0c7cce5319b8db85c1488b3861976f,Visual Question Answer Diversity,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 91c184e7fb0c7cce5319b8db85c1488b3861976f,Visual Question Answer Diversity,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, -91df860368cbcebebd83d59ae1670c0f47de171d,"COCO Attributes: Attributes for People, Animals, and Objects",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +91df860368cbcebebd83d59ae1670c0f47de171d,"COCO Attributes: Attributes for People, Animals, and Objects",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 91df860368cbcebebd83d59ae1670c0f47de171d,"COCO Attributes: Attributes for People, Animals, and Objects",Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 91e435fe71861a8da569a089b4841522ac9aa369,ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, 91e435fe71861a8da569a089b4841522ac9aa369,ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, @@ -7529,6 +9207,13 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 20523cbb076af203ae2a293074a0445fe95309e9,Classification of weather situations on single color images,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, 20289282fedfd60d9d4a7153f460f5c8e0a502b8,Goal Driven Detection in Natural Scenes,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 20d17ffeb8adcbbe7cfe7b73cc998a1d20a91553,Unsupervised Class-Specific Deblurring,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu, +208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu, +208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu, +208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu, +208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu, +208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu, +208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,India,India,India,20.59368400,78.96288000,edu, 20388099cc415c772926e47bcbbe554e133343d1,The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 20388099cc415c772926e47bcbbe554e133343d1,The Child Affective Facial Expression (CAFE) set: validity and reliability from untrained adults,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 205e4d6e0de81c7dd6c83b737ffdd4519f4f7ffa,A model-based facial expression recognition algorithm using Principal Components Analysis,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, @@ -7544,6 +9229,7 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 202dc3c6fda654aeb39aee3e26a89340fb06802a,Spatio-Temporal Instance Learning: Action Tubes from Class Supervision,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 20044724665208227ad54d9ea98b08dfb1420689,Evaluation of local features for person re-identification in image sequences,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 206e24f7d4b3943b35b069ae2d028143fcbd0704,Learning Structure and Strength of CNN Filters for Small Sample Size Training,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +20532b1f80b509f2332b6cfc0126c0f80f438f10,A Deep Matrix Factorization Method for Learning Attribute Representations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 20dbdf02497aa84510970d0f5e8b599073bca1bc,Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 20da5315cfe5eab69d99bbda270e73ab488a49ba,Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 20da5315cfe5eab69d99bbda270e73ab488a49ba,Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, @@ -7559,7 +9245,9 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 20b437dc4fc44c17f131713ffcbb4a8bd672ef00,Head Pose Tracking from RGBD Sensor Based on Direct Motion Estimation,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu, 2011d4da646f794456bebb617d1500ddf71989ed,Transductive Centroid Projection for Semi-supervised Large-Scale Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 2011d4da646f794456bebb617d1500ddf71989ed,Transductive Centroid Projection for Semi-supervised Large-Scale Recognition,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" -20fa38fca576d983b1658127d5cf058962b23179,Image as Data: Automated Visual Content Analysis for Political Science,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +20fa38fca576d983b1658127d5cf058962b23179,Image as Data: Automated Visual Content Analysis for Political Science,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, +20a052963f2c46aff817f34a09c396c44b3e46da,Visually Grounded Meaning Representations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +2004afb2276a169cdb1f33b2610c5218a1e47332,Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition,China,China,China,35.86166000,104.19539700,edu, 205e895e03969c96f3c482b0bd26308b16a12bd0,Image Captioning with an Intermediate Attributes Layer,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 20f8057b602ae9e24ef4ee436250f35dd9757327,AMNet: Memorability Estimation with Attention,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu, 20c02e98602f6adf1cebaba075d45cef50de089f,Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, @@ -7570,10 +9258,12 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 20d320529adf99aff7ca7bd562123caeaa8e7af7,Faithful Multimodal Explanation for Visual Question Answering,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 20cfb4136c1a984a330a2a9664fcdadc2228b0bc,Sparse Coding Trees with application to emotion classification,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 207e0ac5301a3c79af862951b70632ed650f74f7,Learning a Discriminative Null Space for Person Re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +20f64a00593ae2c6ebbe87b41394335152f9b165,A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose,Jawaharlal Nehru University,"Jawaharlal Nehru University, New Delhi - India","New Mehrauli Road, Delhi 110067, India",28.54021400,77.16619490,edu, 2050847bc7a1a0453891f03aeeb4643e360fde7d,Accio: A Data Set for Face Track Retrieval in Movies Across Age,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 2050847bc7a1a0453891f03aeeb4643e360fde7d,Accio: A Data Set for Face Track Retrieval in Movies Across Age,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 2031b062f4c41f43a32835430b1d55a422baa564,VNect: real-time 3D human pose estimation with a single RGB camera,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 20d397c8d8865133ca7bbbd824e217e9fbf5a51a,Binarized Convolutional Neural Networks for Efficient Inference on GPUs,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +20d397c8d8865133ca7bbbd824e217e9fbf5a51a,Binarized Convolutional Neural Networks for Efficient Inference on GPUs,Finland,Finland,Finland,61.92411000,25.74815110,edu, 20adfee9f931b48ad6ae236dc50b8106573d03f7,"AREA Annotation , Recognition and Evaluation of Actions PROCEEDINGS",University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, 2081f94fb82ab8d05ca92742fe949fc97147f926,CoQA: A Conversational Question Answering Challenge,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 208a2c50edb5271a050fa9f29d3870f891daa4dc,The resolution of facial expressions of emotion.,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, @@ -7584,10 +9274,14 @@ d33b26794ea6d744bba7110d2d4365b752d7246f,Transfer Feature Representation via Mul 203a1ecdf7e488d81e5661a6735b767c4fe2b37d,Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 203a1ecdf7e488d81e5661a6735b767c4fe2b37d,Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 20405902028e631e239cbc0ff6148f5f1d8050a0,Sherlock: Scalable Fact Learning in Images,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +2068f66a10254d457cdb5fab74b0128b24bfdb65,Learning Language-Visual Embedding for Movie Understanding with Natural-Language,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu, 2068f66a10254d457cdb5fab74b0128b24bfdb65,Learning Language-Visual Embedding for Movie Understanding with Natural-Language,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, c46a4db7247d26aceafed3e4f38ce52d54361817,A CNN Cascade for Landmark Guided Semantic Part Segmentation,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, c41de506423e301ef2a10ea6f984e9e19ba091b4,Modeling Attributes from Category-Attribute Proportions,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, c41de506423e301ef2a10ea6f984e9e19ba091b4,Modeling Attributes from Category-Attribute Proportions,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, +c45a6a816c32d4041f9be8b937fa92d6dddfe476,FACE RECOGNITION BASED ATTENDANCE MARKING SYSTEM,India,India,India,20.59368400,78.96288000,edu, +c45a6a816c32d4041f9be8b937fa92d6dddfe476,FACE RECOGNITION BASED ATTENDANCE MARKING SYSTEM,India,India,India,20.59368400,78.96288000,edu, +c45a6a816c32d4041f9be8b937fa92d6dddfe476,FACE RECOGNITION BASED ATTENDANCE MARKING SYSTEM,India,India,India,20.59368400,78.96288000,edu, c458db5d616058fbd9de19acc6c82827396cf195,Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, c4b878bc74921dbc8f6cb133ce6bffb5a50668ef,3D face recognition using multicomponent feature extraction from the nasal region and its environs,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, c44177896137e5010a2b336b943c23df1f3f92d3,Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, @@ -7603,27 +9297,38 @@ c466ad258d6262c8ce7796681f564fec9c2b143d,Pose-Invariant Face Recognition Using A c42b28d722dcf2b276fe41da1a811e6bf9e68010,Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, c4934d9f9c41dbc46f4173aad2775432fe02e0e6,ENERALIZATION TO NEW COMPOSITIONS OF KNOWN ENTITIES IN IMAGE UNDERSTANDING,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu, c4934d9f9c41dbc46f4173aad2775432fe02e0e6,ENERALIZATION TO NEW COMPOSITIONS OF KNOWN ENTITIES IN IMAGE UNDERSTANDING,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, +c450b742717dd56039466c3f761982355bd0576a,Literature Assessment for Pose-Invariant Face Recognition,India,India,India,20.59368400,78.96288000,edu, +c450b742717dd56039466c3f761982355bd0576a,Literature Assessment for Pose-Invariant Face Recognition,India,India,India,20.59368400,78.96288000,edu, c4fb2de4a5dc28710d9880aece321acf68338fde,Interactive Generative Adversarial Networks for Facial Expression Generation in Dyadic Interactions,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, c4be56287fd666f9cfff257018a42e00dc56499d,The role of the fusiform-amygdala system in the pathophysiology of autism.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, +c4be56287fd666f9cfff257018a42e00dc56499d,The role of the fusiform-amygdala system in the pathophysiology of autism.,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, c45681fa9d9c36a6a196017ef283ac38904f91bb,Pixel-wise object tracking,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, c4458cc521d8da6faeedc8c4f09505dace844a05,Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, c4458cc521d8da6faeedc8c4f09505dace844a05,Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, c4458cc521d8da6faeedc8c4f09505dace844a05,Automatic Detection of Emotion Valence on Faces Using Consumer Depth Cameras,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, c42adbb77919328fad1fdbcc1ae7cdf12c118134,Privacy-Preserving Human Activity Recognition from Extreme Low Resolution,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, c42adbb77919328fad1fdbcc1ae7cdf12c118134,Privacy-Preserving Human Activity Recognition from Extreme Low Resolution,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +c42adbb77919328fad1fdbcc1ae7cdf12c118134,Privacy-Preserving Human Activity Recognition from Extreme Low Resolution,Xi’an Jiaotong-Liverpool University,"Xi’an Jiaotong-Liverpool University, Jiangsu, China","Wuzhong, Suzhou, China, 215123",31.27482200,120.73809400,edu, c4fc07072d7ebfbca471d2394b20199d8107e517,Active Mask Hierarchies for Object Detection,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, c4a57492ea32a09899c19595c123d40a07d84408,Hexagonal scale invariant feature transform ( H-SIFT ) for facial feature extraction,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, c486eeced06b1db66b7deb58496d71074b88fb86,ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, c418a3441f992fea523926f837f4bfb742548c16,A Computer Approach for Face Aging Problems,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, c423b0a0b7232a5cd0c3f4c75164923a3f04cdcd,Kernel Discriminant Learning with Application to Face Recognition,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +c4a5932f33e6f4ccbfc7218fac58350a530d0ad6,Face Recognition using Discriminant Face Features Extraction method,India,India,India,20.59368400,78.96288000,edu, +c4a5932f33e6f4ccbfc7218fac58350a530d0ad6,Face Recognition using Discriminant Face Features Extraction method,India,India,India,20.59368400,78.96288000,edu, c4fe488c0cff49e1ed6de1425ede27900005fd87,Multi-scale Location-Aware Kernel Representation for Object Detection,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, c4fe488c0cff49e1ed6de1425ede27900005fd87,Multi-scale Location-Aware Kernel Representation for Object Detection,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, +c46bcb02f92612cf525fd84c6cc79b0638c2eac9,New Fuzzy LBP Features for Face Recognition,India,India,India,20.59368400,78.96288000,edu, +c46bcb02f92612cf525fd84c6cc79b0638c2eac9,New Fuzzy LBP Features for Face Recognition,India,India,India,20.59368400,78.96288000,edu, +c46bcb02f92612cf525fd84c6cc79b0638c2eac9,New Fuzzy LBP Features for Face Recognition,India,India,India,20.59368400,78.96288000,edu, c437d0485217685f9ea42c33e492090b58de1db6,Mining Histopathological Images via Composite Hashing and Online Learning,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, c437d0485217685f9ea42c33e492090b58de1db6,Mining Histopathological Images via Composite Hashing and Online Learning,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, c44c84540db1c38ace232ef34b03bda1c81ba039,Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, c44c84540db1c38ace232ef34b03bda1c81ba039,Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, +c4ac98154efdd73fd3ec9954dfb5ed32b95f7ca5,Face Recognition Based on Improved Space Variant,China,China,China,35.86166000,104.19539700,edu, c4ac98154efdd73fd3ec9954dfb5ed32b95f7ca5,Face Recognition Based on Improved Space Variant,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, c4f4122d16e1fdb77cb94152d0d1222b69ddc32b,Face Image Superresolution via Locality Preserving Projection and Sparse Coding,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +c4f4122d16e1fdb77cb94152d0d1222b69ddc32b,Face Image Superresolution via Locality Preserving Projection and Sparse Coding,China,China,China,35.86166000,104.19539700,edu, c48ee576130473efe6dc3ee47f552bc581aa68b2,Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, c48ee576130473efe6dc3ee47f552bc581aa68b2,Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, c43ed9b34cad1a3976bac7979808eb038d88af84,Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, @@ -7642,6 +9347,7 @@ c43d8a3d36973e3b830684e80a035bbb6856bcf7,Image Super-Resolution Using Very Deep 8eeac4ca19ddc919423c42447c28ce546a25c4f8,Image composition for object pop-out,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 8e457222d6f38847489d63557ec2e0de7356e2a5,Super-resolution pipeline for fast adjudication in watchlist screening,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 8e4355225f0db7945952fbdf29e234e71313d30b,3D Human Pose Estimation with Relational Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +8edcd935362c899e630349784e4ff8adb3a69cdc,Person re-identification using deformable patch metric learning,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 8e4ff1aa78f8997b683f873c46999f384db4de18,Renewing the respect for similarity,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 8e4ff1aa78f8997b683f873c46999f384db4de18,Renewing the respect for similarity,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 8ed33184fccde677ec8413ae06f28ea9f2ca70f3,Multimodal Visual Concept Learning with Weakly Supervised Techniques,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, @@ -7649,12 +9355,16 @@ c43d8a3d36973e3b830684e80a035bbb6856bcf7,Image Super-Resolution Using Very Deep 8e4808e71c9b9f852dc9558d7ef41566639137f3,Adversarial Generative Nets: Neural Network Attacks on State-of-the-Art Face Recognition,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 8e861a7809905a003fffa821574e68ae0c0788e7,Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 8e0ab1b08964393e4f9f42ca037220fe98aad7ac,UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +8ea56e4697430d1dbc728bad5a6e8ebafcced835,Adaptive stochastic gradient descent on the Grassmannian for robust low-rank subspace recovery,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8eae6ed5fa66b5eb63bdb6cc23d3b385a7fee37c,A 3 D Dynamic Database for Unconstrained Face Recognition,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 8e7548911c41b6f3a6ccbda6d3ab913eaa41e721,Feature Learning with Rank-Based Candidate Selection for Product Search,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 8e610860a0a273d5a2676e9d53328820f2f59a85,Diversity in Fashion Recommendation Using Semantic Parsing,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, +8e610860a0a273d5a2676e9d53328820f2f59a85,Diversity in Fashion Recommendation Using Semantic Parsing,Staqu Technologies,Staqu Technologies,"3rd floor, Mehrauli-Gurgaon Road, Sikanderpur, Sector 26, Gurugram, Haryana 122002, India",28.48127500,77.10044670,edu, +8e461978359b056d1b4770508e7a567dbed49776,LOMo: Latent Ordinal Model for Facial Analysis in Videos,India,India,India,20.59368400,78.96288000,edu, 8e36255da222c01a880c9b88d61f139f7bdba62f,Graph filtering for data reduction and reconstruction,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 8e7c647d8e8ba726b03f7e7c5cc395f86b9de9be,Parsing Pose of People with Interaction,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 8e54329a35b11e48d398dd3df3b27c72f48f5b2b,SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +8e54329a35b11e48d398dd3df3b27c72f48f5b2b,SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, 8e54329a35b11e48d398dd3df3b27c72f48f5b2b,SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 8ee5b1c9fb0bded3578113c738060290403ed472,Extending explicit shape regression with mixed feature channels and pose priors,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 8e0a86634b286567433736a667e3a0bb7902470e,Dense Semantic Image Segmentation with Objects and Attributes,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -7667,9 +9377,12 @@ c43d8a3d36973e3b830684e80a035bbb6856bcf7,Image Super-Resolution Using Very Deep 8e368144360042aad69703a6bffd56e1e72f2af4,Revisiting Graph Construction for Fast Image Segmentation,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 8e3c97e420e0112c043929087d6456d8ab61e95c,Robust Global Motion Compensation in Presence of Predominant Foreground,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 8ec82da82416bb8da8cdf2140c740e1574eaf84f,Lip Reading in Profile,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +8ec82da82416bb8da8cdf2140c740e1574eaf84f,Lip Reading in Profile,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 8e88a97e09a853cf768ca1c732ba5f008fff77ca,Regularized Residual Quantization: a multi-layer sparse dictionary learning approach,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, 8e74244e220a1c9e89417caa1ad22f649884d311,ArtTrack: Articulated Multi-Person Tracking in the Wild,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 8e69534ae2f00025226c3a46dc6efb4faa3d396a,Object Class Detection Using Local Image Features and Point Pattern Matching Constellation Search,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +8e64f7f38db57ddc197cc7a9c51b914920ee99cc,AN OPTIMIZED FRAMEWORK FOR DETECTION AND TRACKING,India,India,India,20.59368400,78.96288000,edu, +8e8c141e06d52cee1917b7268abca315bf3af714,Random-Profiles-Based 3D Face Recognition System,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 8e8c141e06d52cee1917b7268abca315bf3af714,Random-Profiles-Based 3D Face Recognition System,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 8e956117b2e22470814778fed6f4641e475efb44,Learning Attribute Representations with Localization for Flexible Fashion Search,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 8e956117b2e22470814778fed6f4641e475efb44,Learning Attribute Representations with Localization for Flexible Fashion Search,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, @@ -7681,8 +9394,9 @@ c43d8a3d36973e3b830684e80a035bbb6856bcf7,Image Super-Resolution Using Very Deep 8e0ad1ccddc7ec73916eddd2b7bbc0019d8a7958,Segment-based SVMs for Time Series Analysis,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 8e325b234e9cb67c285fc256c7e51d5e326952d1,Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection,Singapore Management University,Singapore Management University,"Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore",1.29500195,103.84909214,edu, 8e325b234e9cb67c285fc256c7e51d5e326952d1,Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +8e325b234e9cb67c285fc256c7e51d5e326952d1,Single-Shot Bidirectional Pyramid Networks for High-Quality Object Detection,China,China,China,35.86166000,104.19539700,edu, a1aa6bd76b28ed4c9273a4bd9241745bdeacddff,A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels.,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, -a1aa6bd76b28ed4c9273a4bd9241745bdeacddff,A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels.,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +a1aa6bd76b28ed4c9273a4bd9241745bdeacddff,A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels.,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, a1653e88be986aee2f37792c3fb05f0ee7fbef94,Generative Semantic Manipulation with Mask-Contrasting GAN,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a1653e88be986aee2f37792c3fb05f0ee7fbef94,Generative Semantic Manipulation with Mask-Contrasting GAN,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, a14db48785d41cd57d4eac75949a6b79fc684e70,Fast High Dimensional Vector Multiplication Face Recognition,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, @@ -7701,6 +9415,7 @@ a1ee55d529e04a80f4eae3b30d0961a985a64fa4,Enabling low bitrate mobile visual reco a1c1970f7c728cc96aea798d65d38df7c9ea61dc,Eye Location Using Genetic Algorithm,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, a1a49e2c1a424ef2dc6a5cf787d5eadf8421aaa1,Human Body Segmentation based on Background Estimation in Modified HLS Color Space,Dankook University,Dankook University,"단국대학교 치과병원, 죽전로, 죽전동, 수지구, 용인시, 경기, 16900, 대한민국",37.32195750,127.12507230,edu, a1dd88f44d045b360569a9a8721f728afbd951c3,Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +a1dd88f44d045b360569a9a8721f728afbd951c3,Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN,China,China,China,35.86166000,104.19539700,edu, a165619977bc69a910a771e1096551073122775b,Computational crowd camera : enabling remote-vision via sparse collective plenoptic sampling,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, a1497db913ea4031315e24a1027177ad0c4b680a,Robust emotion recognition from low quality and low bit rate video: A deep learning approach,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, a1497db913ea4031315e24a1027177ad0c4b680a,Robust emotion recognition from low quality and low bit rate video: A deep learning approach,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu, @@ -7708,10 +9423,15 @@ a1497db913ea4031315e24a1027177ad0c4b680a,Robust emotion recognition from low qua a1497db913ea4031315e24a1027177ad0c4b680a,Robust emotion recognition from low quality and low bit rate video: A deep learning approach,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, a1997d89f544cc862c63a972ef364b2ff38982e9,Can SNOMED CT Changes Be Used as a Surrogate Standard for Evaluating the Performance of Its Auditing Methods?,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, a1997d89f544cc862c63a972ef364b2ff38982e9,Can SNOMED CT Changes Be Used as a Surrogate Standard for Evaluating the Performance of Its Auditing Methods?,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, +a16fb74ea66025d1f346045fda00bd287c20af0e,A Coupled Evolutionary Network for Age Estimation,China,China,China,35.86166000,104.19539700,edu, +a16fb74ea66025d1f346045fda00bd287c20af0e,A Coupled Evolutionary Network for Age Estimation,China,China,China,35.86166000,104.19539700,edu, a16fb74ea66025d1f346045fda00bd287c20af0e,A Coupled Evolutionary Network for Age Estimation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, a1e1e7e976c22af9de26d9b74c2ece282e20218c,Looking at My Own Face: Visual Processing Strategies in Self–Other Face Recognition,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, a155fcf9063a7a33368488123578180a0d1a5a78,An Autonomous Indoor Navigation System Based on Visual Scene Recognition Using Deep Neural Networks,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, +a1b1442198f29072e907ed8cb02a064493737158,Crowdsourcing Facial Responses to Online Videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a1ffab629c19b9c04fb047dae0471d3de73f3738,Leveraging Unlabeled Data for Crowd Counting by Learning to Rank,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +a1e97c4043d5cc9896dc60ae7ca135782d89e5fc,"Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +a175f20189f028a1420b76ae42f6dfe99d8d6847,Where and Why Are They Looking ? Jointly Inferring Human Attention and Intentions in Complex Tasks,China,China,China,35.86166000,104.19539700,edu, a1557a512ff254a27c11810d362609c237ff6e30,Predicting Images using Convolutional Networks : Visual Scene Understanding with Pixel Maps,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, a10176b3a926ea57812366a0675471b7aaec4b0d,Efficient Pedestrian Detection at Nighttime Using a Thermal Camera,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, a1ee0176a9c71863d812fe012b5c6b9c15f9aa8a,Affective recommender systems: the role of emotions in recommender systems,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, @@ -7727,6 +9447,7 @@ a1b5b0697e46eecc9657954311828cc9b4113a26,Semantic Segmentation With Object Cliqu a125bc55bdf4bec7484111eea9ae537be314ec62,Real-time Facial Expression Recognition in Image Sequences Using an AdaBoost-based Multi-classifier,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, a125bc55bdf4bec7484111eea9ae537be314ec62,Real-time Facial Expression Recognition in Image Sequences Using an AdaBoost-based Multi-classifier,National Taiwan University of Science and Technology,National Taiwan University of Science and Technology,"臺科大, 43, 基隆路四段, 學府里, 下內埔, 大安區, 臺北市, 10607, 臺灣",25.01353105,121.54173736,edu, d1f3fb7e8be9d8db50f29403ffbbf6ec58623e61,Embodied Question Answering,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +d1bfb6a9182e5712d8aef46b2fe93ef4ad4fe705,Local Color Contrastive Descriptor for Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, d140c5add2cddd4a572f07358d666fe00e8f4fe1,Statistically Learned Deformable Eye Models,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, d185f4f05c587e23c0119f2cdfac8ea335197ac0,"Chapter III Facial Expression Analysis , Modeling and Synthesis : Overcoming the Limitations of Artificial Intelligence with the Art of the Soluble",TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, d185f4f05c587e23c0119f2cdfac8ea335197ac0,"Chapter III Facial Expression Analysis , Modeling and Synthesis : Overcoming the Limitations of Artificial Intelligence with the Art of the Soluble",Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu, @@ -7737,14 +9458,19 @@ d1ba33106567c880bf99daba2bd31fe88df4ecba,Deep Adaptive Feature Embedding with Lo d1ba33106567c880bf99daba2bd31fe88df4ecba,Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, d1a32ecb951a233584d796f067aaae4951dfdf77,Context Refinement for Object Detection,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, d119734d8b140aa22efa571fb22d29ac92452666,Audio-visual person identification on the XM2VTS database,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +d12c343e60f9cc1a0c6c94c138f38e6bffe22001,Diverse Sampling for Self-Supervised Learning of Semantic Segmentation,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, +d17a954a3d04ac8f887ec01fcadc8aa42a9cff01,Manifold-Manifold Distance with application to face recognition based on image set,China,China,China,35.86166000,104.19539700,edu, d17a954a3d04ac8f887ec01fcadc8aa42a9cff01,Manifold-Manifold Distance with application to face recognition based on image set,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +d17a954a3d04ac8f887ec01fcadc8aa42a9cff01,Manifold-Manifold Distance with application to face recognition based on image set,China,China,China,35.86166000,104.19539700,edu, d17a954a3d04ac8f887ec01fcadc8aa42a9cff01,Manifold-Manifold Distance with application to face recognition based on image set,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, d1496833b9a14d87c1bafd0d5031cc1629ca2b87,TextureGAN: Controlling Deep Image Synthesis with Texture Patches,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, d10f8d58bf50f5b097b4344dc8cccbbe0c330bd9,Hard-Aware Deeply Cascaded Embedding,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -d10f8d58bf50f5b097b4344dc8cccbbe0c330bd9,Hard-Aware Deeply Cascaded Embedding,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +d10f8d58bf50f5b097b4344dc8cccbbe0c330bd9,Hard-Aware Deeply Cascaded Embedding,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, d10f8d58bf50f5b097b4344dc8cccbbe0c330bd9,Hard-Aware Deeply Cascaded Embedding,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +d1dd0c714950cbd89f76ec6b039201eadf74cade,Person Re-identification Using Robust Brightness Transfer Functions Based on Multiple Detections,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, d16968e5baac6d26b9cef5034f9d84bcc3ec627c,"Children Facial Expression Production: Influence of Age, Gender, Emotion Subtype, Elicitation Condition and Culture",Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, d16968e5baac6d26b9cef5034f9d84bcc3ec627c,"Children Facial Expression Production: Influence of Age, Gender, Emotion Subtype, Elicitation Condition and Culture",Hiroshima University,Hiroshima University,"Hiroshima University 広島大学 東広島キャンパス, 出会いの道 Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu, +d138270d3c06e85fa2c3da6f953818da4b72313a,An Analytical Framework for Estimating Scale-Out and Scale-Up Power Efficiency of Heterogeneous Manycores,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, d1b0d2ec2f01c3aab06119192cf9ba23146cc662,"Explanatory Dialogs : Towards Actionable , Interactive Explanations Gagan Bansal",University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, d1d9e6027288cdd64509ea62f88a3cbd9320c180,Automated Markerless Analysis of Human Gait Motion for Recognition and Classification,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, d16f37a15f6385a6a189b06833745da5d524f69b,Hebb repetition effects for non-verbal visual sequences: determinants of sequence acquisition.,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu, @@ -7755,9 +9481,13 @@ d1c204da4e0ab653c32ae8fc325d5b69641b6ed7,Learning Globally Optimized Object Dete d1c204da4e0ab653c32ae8fc325d5b69641b6ed7,Learning Globally Optimized Object Detector via Policy Gradient,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, d1c204da4e0ab653c32ae8fc325d5b69641b6ed7,Learning Globally Optimized Object Detector via Policy Gradient,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, d1836e137787fadb28d3418e029534765bcf1dae,"Analysis, Synthesis and Recognition of Human Faces with Pose Variations",University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +d1503151b39038a87acbd9ecce073ddc211a597d,Efficient Semantic Segmentation using Gradual Grouping,India,India,India,20.59368400,78.96288000,edu, +d1503151b39038a87acbd9ecce073ddc211a597d,Efficient Semantic Segmentation using Gradual Grouping,India,India,India,20.59368400,78.96288000,edu, d13e81c7a3d6f62948a68663acfecc3a480d9b1c,Scaling Distributed All-Pairs Algorithms: Manage Computation and Limit Data Replication with Quorums,Iowa State University,Iowa State University,"Iowa State University, Farm House Road, Ames, Story County, Iowa, 50014, USA",42.02791015,-93.64464415,edu, d1d15291dadc44f0cd192dc88bab3b10e2b07ccd,"“I Look in Your Eyes, Honey”: Internal Face Features Induce Spatial Frequency Preference for Human Face Processing",University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, +d168c2bd29fcad2083586430dd76f54da69bc8a6,Person Re-Identification by Iterative Re-Weighted Sparse Ranking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +d168c2bd29fcad2083586430dd76f54da69bc8a6,Person Re-Identification by Iterative Re-Weighted Sparse Ranking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, d115c4a66d765fef596b0b171febca334cea15b5,Combining Stacked Denoising Autoencoders and Random Forests for Face Detection,Swansea University,Swansea University,"Swansea University, University Footbridge, Sketty, Swansea, Wales, SA2 8PZ, UK",51.60915780,-3.97934429,edu, d10eff69699591d26dbb69ed17d8afe06bc581db,Wasserstein Introspective Neural Networks,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, d1d90bbc6bb4fdb0d928ff74bfd8671aaafa070e,Neural Person Search Machines,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, @@ -7770,25 +9500,35 @@ d182c6d9ac4777b5ad73afdd64b7b68d76037212,Aligned Image-Word Representations Impr d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image,Kumamoto University,Kumamoto University,"熊本大学黒髪キャンパス, 熊本菊陽線, 中央区, 熊本市, 熊本県, 九州地方, 860-0863, 日本",32.81641780,130.72703969,edu, 6f7a8b3e8f212d80f0fb18860b2495be4c363eac,Creating Capsule Wardrobes from Fashion Images,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 6f7a8b3e8f212d80f0fb18860b2495be4c363eac,Creating Capsule Wardrobes from Fashion Images,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +6f7de9849be93eff1c5f133defd9d70e5ff437ac,AttentionNet: Aggregating Weak Directions for Accurate Object Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +6f7de9849be93eff1c5f133defd9d70e5ff437ac,AttentionNet: Aggregating Weak Directions for Accurate Object Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +6f7de9849be93eff1c5f133defd9d70e5ff437ac,AttentionNet: Aggregating Weak Directions for Accurate Object Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +6f7de9849be93eff1c5f133defd9d70e5ff437ac,AttentionNet: Aggregating Weak Directions for Accurate Object Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 6f2b36cadf3dd1648b709e9b4f4c19ffa1939ed1,Striking the Right Balance with Uncertainty,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, 6f9824c5cb5ac08760b08e374031cbdabc953bae,Unconstrained human identification using comparative facial soft biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 6fb33358bc7e1a73e88b4a87fb0962366ab959c9,Fuzzy 3D Face Ethnicity Categorization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 6f8de996c9659459d4dc6a10cb3d8a43cb846422,Explainable Neural Computation via Stack Neural Module Networks,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 6f8de996c9659459d4dc6a10cb3d8a43cb846422,Explainable Neural Computation via Stack Neural Module Networks,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 6f4a671537c9e60f042808451ff0fc06032d1221,Play and Learn: Using Video Games to Train Computer Vision Models,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +6fe149e588a5bf15bf89edfedb1a29cc31384ddc,Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 6fac6fb9b2fff94e2babc4906646cf6427c591a0,TRECVid 2011 SED : Sequence-Based Event Detection in Surveillance Video,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +6fac6fb9b2fff94e2babc4906646cf6427c591a0,TRECVid 2011 SED : Sequence-Based Event Detection in Surveillance Video,China,China,China,35.86166000,104.19539700,edu, 6f71862aa00d61fc8fd7f205de35ee8af458ec0c,Semi-supervised Learning of Instance-level Recognition from Video,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 6fef65bd7287b57f0c3b36bf8e6bc987fd161b7d,Deep Discriminative Model for Video Classification,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +6fed504da4e192fe4c2d452754d23d3db4a4e5e3,Learning Deep Features via Congenerous Cosine Loss for Person Recognition,China,China,China,35.86166000,104.19539700,edu, 6fed504da4e192fe4c2d452754d23d3db4a4e5e3,Learning Deep Features via Congenerous Cosine Loss for Person Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 6f70e85442959079bfb67b925c660fe86cb4ba24,Person Re-Identification with Correspondence Structure Learning,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 6f70e85442959079bfb67b925c660fe86cb4ba24,Person Re-Identification with Correspondence Structure Learning,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu, 6f70e85442959079bfb67b925c660fe86cb4ba24,Person Re-Identification with Correspondence Structure Learning,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 6f70e85442959079bfb67b925c660fe86cb4ba24,Person Re-Identification with Correspondence Structure Learning,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 6f491fcff042991767a8d5c3a919ce169e0e65f0,Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, -6f44303f9664a4ceabd0f4bc74cb3886aad5012f,An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de,Crowd Counting via Scale-Adaptive Convolutional Neural Network,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, +6f44303f9664a4ceabd0f4bc74cb3886aad5012f,An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 6f44303f9664a4ceabd0f4bc74cb3886aad5012f,An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 6fe83b5fdeeb6d92f24af3aed6a34c5bf9ce8845,Face Recognition Based on Local Directional Pattern Variance ( LDPv ),Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu, +6f2bc1a4fbe3e00881b56c145a568264bd3c76f1,Spectral Regression dimension reduction for multiple features facial image retrieval,China,China,China,35.86166000,104.19539700,edu, 6f97f9959015cb0e93fba000ae468d22b4c5078a,A Discriminative and Compact Audio Representation for Event Detection,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +6f97f9959015cb0e93fba000ae468d22b4c5078a,A Discriminative and Compact Audio Representation for Event Detection,"International Computer Science Institute, Berkeley, CA","International Computer Science Institute, Berkeley, CA, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu, 6f97f9959015cb0e93fba000ae468d22b4c5078a,A Discriminative and Compact Audio Representation for Event Detection,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 6f1c84d5a137ad14e5de9a8728fced8044d05b79,SketchyScene: Richly-Annotated Scene Sketches,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 6f1c84d5a137ad14e5de9a8728fced8044d05b79,SketchyScene: Richly-Annotated Scene Sketches,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, @@ -7801,6 +9541,7 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne 6fea198a41d2f6f73e47f056692f365c8e6b04ce,Video Captioning with Boundary-aware Hierarchical Language Decoding and Joint Video Prediction,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 6fee701352f0f5c4abea3e918ddcf078243253cc,ALCOHOL AND REMEMBERING SEXUAL ASSAULT 1 Alcohol and remembering a hypothetical sexual assault : Can people who were under the influence of alcohol during the event provide accurate testimony ?,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu, 6fbc58272384ede0efa72753d78f1ef6db381ad7,Robust Face Recognition with Deeply Normalized Depth Images,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +6f53466b17a2f9da4dbd1d870e822a1f8e837044,Image Aesthetic Assessment: An experimental survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6f4a596c80b5ccaf44a076760761c4f132920b11,Integrating Visual and Linguistic Information to Describe Properties of Objects,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 6f4ec006b6b9da4982169adea2914aa3d14ee753,Adversarial Robustness: Softmax versus Openmax,"University of Colorado, Colorado Springs",University of Colorado Colorado Springs,"Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA",38.89207560,-104.79716389,edu, 6f3a1216e984c78e7374b3b7ab05612544d345eb,DeRPN: Taking a further step toward more general object detection,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, @@ -7809,21 +9550,28 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne 6f84e61f33564e5188136474f9570b1652a0606f,Dual Motion GAN for Future-Flow Embedded Video Prediction,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 6f640d448f00321b9b3bddb3a787cacd2f45cd1a,Stereo 3D Object Trajectory Reconstruction,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 6f26ab7edd971148723d9b4dc8ddf71b36be9bf7,Differences in Abundances of Cell-Signalling Proteins in Blood Reveal Novel Biomarkers for Early Detection Of Clinical Alzheimer's Disease,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, +6f288a12033fa895fb0e9ec3219f3115904f24de,Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6ff9b66aec16d84b1133850e7e8ce188a5a9a7f4,Do-gooder derogation in children: the social costs of generosity,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 6ff9b66aec16d84b1133850e7e8ce188a5a9a7f4,Do-gooder derogation in children: the social costs of generosity,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 6ff9b66aec16d84b1133850e7e8ce188a5a9a7f4,Do-gooder derogation in children: the social costs of generosity,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 6fa0c206873dcc5812f7ea74a48bb4bf4b273494,Real-Time Mobile Facial Expression Recognition System -- A Case Study,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, 6fc7b0df95146389c780004f7aee6d09358d71ad,A comprehensive review on intelligent surveillance systems,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, +6f41b528abc34c249038f612a6c1033790ace628,Discriminant Subspace Analysis: An Adaptive Approach for Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +6fa39c0221c8bcae9146d31646cd9f70aba7190c,Review on Histopathological Slide Analysis using Digital Microscopy,India,India,India,20.59368400,78.96288000,edu, +6fa39c0221c8bcae9146d31646cd9f70aba7190c,Review on Histopathological Slide Analysis using Digital Microscopy,India,India,India,20.59368400,78.96288000,edu, 6f9c01a9b861882c6676227942005cef13f3cb29,Cross Quality Distillation,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 6f73807e309b262c5761c7a73c6a5609679f9f02,Shadow and Specular Removal by Photometric Linearization based on PCA with Outlier Exclusion,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 6fbd67c047fdcec3ec157173b4dd28b44cdb3589,A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, 6f68ca4cc05ef8db344f0bf1ee394e93d519e77e,Matrix Factorization as Search,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, +6fbb179a4ad39790f4558dd32316b9f2818cd106,Input Aggregated Network for Face Video Representation,China,China,China,35.86166000,104.19539700,edu, 6fbb179a4ad39790f4558dd32316b9f2818cd106,Input Aggregated Network for Face Video Representation,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 6f813ccf106360cc9c3d6df849cc04d881d0a6e8,"360 ◦ User Profiling : Past , Future , and Applications",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 6f813ccf106360cc9c3d6df849cc04d881d0a6e8,"360 ◦ User Profiling : Past , Future , and Applications",Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" 6faab65a009b36ee3f79d3e4afdf3cc84d57cd67,Adversarial Learning for Semi-supervised Semantic Segmentation,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 6faab65a009b36ee3f79d3e4afdf3cc84d57cd67,Adversarial Learning for Semi-supervised Semantic Segmentation,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, +6f0900a7fe8a774a1977c5f0a500b2898bcbe149,Quotient Based Multiresolution Image Fusion of Thermal and Visual Images Using Daubechies Wavelet Transform for Human Face Recognition,India,India,India,20.59368400,78.96288000,edu, 6f0900a7fe8a774a1977c5f0a500b2898bcbe149,Quotient Based Multiresolution Image Fusion of Thermal and Visual Images Using Daubechies Wavelet Transform for Human Face Recognition,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +6f0900a7fe8a774a1977c5f0a500b2898bcbe149,Quotient Based Multiresolution Image Fusion of Thermal and Visual Images Using Daubechies Wavelet Transform for Human Face Recognition,India,India,India,20.59368400,78.96288000,edu, 6fc1e886659838b2ca08dbaca291420785fd51bd,Total Capture: 3D Human Pose Estimation Fusing Video and Inertial Sensors,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 483e19f50ff47b0bf5e57b0cea65a7f084779b92,Annotation Artifacts in Natural Language Inference Data,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 483e19f50ff47b0bf5e57b0cea65a7f084779b92,Annotation Artifacts in Natural Language Inference Data,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -7847,18 +9595,32 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne 480040b64a972bf51f8debabc4f9421fd2c7b829,"Towards recognizing ""cool"": can end users help computer vision recognize subjective attributes of objects in images?",Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, 488fff23542ff397cdb1ced64db2c96320afc560,Weakly supervised localization of novel objects using appearance transfer,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, 480492ca998b3393b370d176d1f990a3db1c8e12,Factorized Binary Codes for Large-Scale Nearest Neighbor Search,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +486a82f50835ea888fbc5c6babf3cf8e8b9807bc,Face Search at Scale: 80 Million Gallery,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4836b084a583d2e794eb6a94982ea30d7990f663,Cascaded Face Alignment via Intimacy Definition Feature,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +4836b084a583d2e794eb6a94982ea30d7990f663,Cascaded Face Alignment via Intimacy Definition Feature,China,China,China,35.86166000,104.19539700,edu, 4823dcfb0bdc1af20e4da85035b8fc2c71a6add1,Exploring Structural Information and Fusing Multiple Features for Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4896909796f9bd2f70a2cb24bf18daacd6a12128,Spatial Bag of Features Learning for Large Scale Face Image Retrieval,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 48910f9b6ccc40226cd4f105ed5291571271b39e,Learning Discriminative Fisher Kernels,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 482a31cd4705f3d56e468cc33486847fc100f568,Dynamic probabilistic CCA for analysis of affective behaviour,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 482a31cd4705f3d56e468cc33486847fc100f568,Dynamic probabilistic CCA for analysis of affective behaviour,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 482a31cd4705f3d56e468cc33486847fc100f568,Dynamic probabilistic CCA for analysis of affective behaviour,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +48a442646483d9777a2c5864a8e5f6d1a4851396,Kickstarting the Commons: The YFCC100M and the YLI Corpora,"International Computer Science Institute, Berkeley, CA","International Computer Science Institute, Berkeley, CA, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu, 488375ae857a424febed7c0347cc9590989f01f7,Convolutional neural networks for the analysis of broadcasted tennis games,University of Crete,University of Crete,"House of Europe, Μακεδονίας, Ρέθυμνο, Δήμος Ρεθύμνης, Περιφερειακή Ενότητα Ρεθύμνου, Περιφέρεια Κρήτης, Κρήτη, 930100, Ελλάδα",35.37130240,24.47544080,edu, 48850f2f66b3f3b6bb93638ac2edae6060b79521,Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu, -480888bad59b314236f2d947ebf308ae146c98e4,Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +480888bad59b314236f2d947ebf308ae146c98e4,Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 484c380c322b2b5cb5756c9e94608949fb5d5e4d,Temporal face embedding and propagation in photo collections,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, 48734cb558b271d5809286447ff105fd2e9a6850,Facial Expression Recognition Using Enhanced Deep 3 D Convolutional Neural Networks,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu, +488e475eeb3bb39a145f23ede197cd3620f1d98a,Pedestrian Attribute Classification in Surveillance: Database and Evaluation,China,China,China,35.86166000,104.19539700,edu, 48048f2fe3705d7d645450f31696045bf3c8312e,BubbleView: an alternative to eye-tracking for crowdsourcing image importance,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 48048f2fe3705d7d645450f31696045bf3c8312e,BubbleView: an alternative to eye-tracking for crowdsourcing image importance,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 48048f2fe3705d7d645450f31696045bf3c8312e,BubbleView: an alternative to eye-tracking for crowdsourcing image importance,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, @@ -7869,6 +9631,9 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne 48cdb6a640b4259c61c476fb529d7c176e8345a9,PERCEIVED INTELLIGENCE BEYOND ATTRACTIVENESS 3 Eyelid-Openness and Mouth Curvature Influence Perceived,University of St Andrews,University of St Andrews,"University of St Andrews, North Street, Albany Park Student accommodation, Carngour, St Andrews, Fife, Scotland, KY16 9AJ, UK",56.34119840,-2.79309380,edu, 482e8a9323fca1e27fccf03d2a58a36873d0ae10,Assessing Social Cognition of Persons with Schizophrenia in a Chinese Population: A Pilot Study,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 482e8a9323fca1e27fccf03d2a58a36873d0ae10,Assessing Social Cognition of Persons with Schizophrenia in a Chinese Population: A Pilot Study,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, +482769e4c4cf832128b52f1bdff873af1eee8ba8,Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template,India,India,India,20.59368400,78.96288000,edu, +482769e4c4cf832128b52f1bdff873af1eee8ba8,Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template,India,India,India,20.59368400,78.96288000,edu, +48bf7357723abf7770400d68f914d6a7ca5a1a5f,Real-Time Head Pose Tracking with Online Face Template Reconstruction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4839567c67252f9ddb44f7cffc61d7b929b7dec0,Boosted cannabis image recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4813d9332a1f3ef2bf5846e81005895322310bed,21 3 D Face Recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 482321a30da9edc4da8efb73f8e7d763c56811f2,Categorizing Turn-Taking Interactions,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, @@ -7883,6 +9648,7 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne 48b9f9ddf17bd29b957b09f9000576e53acf8719,Ringtail: Feature Selection For Easier Nowcasting,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 48b9f9ddf17bd29b957b09f9000576e53acf8719,Ringtail: Feature Selection For Easier Nowcasting,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 48b9f9ddf17bd29b957b09f9000576e53acf8719,Ringtail: Feature Selection For Easier Nowcasting,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +486e5c2996726ec0f7c37077a2752dc4bd8c1413,Linearized Smooth Additive Classifiers,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 48ffb705e94dde426b7241108ca915a5ecab6414,The Human Factor: Behavioral and Neural Correlates of Humanized Perception in Moral Decision Making,University of Vienna,University of Vienna,"Uni Wien, 1, Universitätsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, Österreich",48.21313020,16.36068653,edu, 48729e4de8aa478ee5eeeb08a72a446b0f5367d5,Compressed face hallucination,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 488cb054f61378809cdcea5b08b5005d392b07ce,Tracklet Association with Online Target-Specific Metric Learning,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, @@ -7890,6 +9656,8 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne 48fea82b247641c79e1994f4ac24cad6b6275972,Mining discriminative components with low-rank and sparsity constraints for face recognition,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 48143b1270a2df096577e6681b1f1ceadacf73e8,An Improved Evaluation Framework for Generative Adversarial Networks,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 48a417cfeba06feb4c7ab30f06c57ffbc288d0b5,Robust Dictionary Learning by Error Source Decomposition,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, +48319e611f0daaa758ed5dcf5a6496b4c6ef45f2,Non Binary Local Gradient Contours for Face Recognition,India,India,India,20.59368400,78.96288000,edu, +48319e611f0daaa758ed5dcf5a6496b4c6ef45f2,Non Binary Local Gradient Contours for Face Recognition,India,India,India,20.59368400,78.96288000,edu, 48a9241edda07252c1aadca09875fabcfee32871,Convolutional Experts Network for Facial Landmark Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 48a9241edda07252c1aadca09875fabcfee32871,Convolutional Experts Network for Facial Landmark Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 48a9241edda07252c1aadca09875fabcfee32871,Convolutional Experts Network for Facial Landmark Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -7898,32 +9666,44 @@ d1bca67dd26d719b3e7a51acecd7c54c7b78b34a,Spatial Pyramid Convolutional Neural Ne 48f0055295be7b175a06df5bc6fa5c6b69725785,Facial Action Unit Recognition from Video Streams with Recurrent Neural Networks,University of the Witwatersrand,University of the Witwatersrand,"University of the Witwatersrand, Empire Road, Johannesburg Ward 60, Johannesburg, City of Johannesburg Metropolitan Municipality, Gauteng, 2001, South Africa",-26.18888130,28.02479073,edu, 48810b60f1fe6fcb344538d5de8c54e5d64c20bb,Deep Sketch-Photo Face Recognition Assisted by Facial Attributes,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, f42d3225afd9e463ddb7a355f64b54af8bd14227,Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +f4901354f843b058bef649d14a9fc67c51943da8,Poster : Image Suitability for Graphical Passwords,Florida Institute of Technology,Florida Institute of Technology,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA",28.06468880,-80.62302200,edu, +f4901354f843b058bef649d14a9fc67c51943da8,Poster : Image Suitability for Graphical Passwords,Florida Institute of Technology,Florida Institute of Technology,"FIorida Institute of Technology, 150 W University Blvd, Melbourne, FL 32901, USA",28.06468880,-80.62302200,edu, f4901354f843b058bef649d14a9fc67c51943da8,Poster : Image Suitability for Graphical Passwords,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, f4aafb50c93c5ad3e5c4696ed24b063a1932915a,What would you look like in Springfield ? Linear Transformations between High-Dimensional Spaces,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, f442e57e13d1da68723d68cb68d7c78e1788cc7f,Running head : AUTOMATIC MENTAL STATE DETECTION 1 Automated Mental State Detection for Mental Healthcare,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, f4c029044afa6cb3b08d5e47701d532b3aed9a40,A Clustering Based Approach for Realistic and Efficient Data-Driven Crowd Simulation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +f496235629c02c98ad83b37d3d054ccfd0de0131,Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch,India,India,India,20.59368400,78.96288000,edu, f408ee71b9db38ec1b1b785057d50d6e0d9b30ba,LiDAR-Video Driving Dataset : Learning Driving Policies Effectively,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, f4557028562003c13eeca41b175dd4f4a03659bd,Part-based Deformable Object Detection with a Single Silhouette Sketch,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, f4557028562003c13eeca41b175dd4f4a03659bd,Part-based Deformable Object Detection with a Single Silhouette Sketch,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +f4557028562003c13eeca41b175dd4f4a03659bd,Part-based Deformable Object Detection with a Single Silhouette Sketch,India,India,India,20.59368400,78.96288000,edu, f4210309f29d4bbfea9642ecadfb6cf9581ccec7,An Agreement and Sparseness-based Learning Instance Selection and its Application to Subjective Speech Phenomena,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, f4210309f29d4bbfea9642ecadfb6cf9581ccec7,An Agreement and Sparseness-based Learning Instance Selection and its Application to Subjective Speech Phenomena,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, f4065d13bcad78b563108075f650c29a2f3f1917,Cost Effective Conceptual Design for Semantic Annotation,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, f4065d13bcad78b563108075f650c29a2f3f1917,Cost Effective Conceptual Design for Semantic Annotation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, f4aabc7d1dd76dff357d65084ac04afd73051ca8,"Chapter I Audio-Visual and Visual-Only Speech and Speaker Recognition : Issues about Theory , System Design , and Implementation",Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, +f4aabc7d1dd76dff357d65084ac04afd73051ca8,"Chapter I Audio-Visual and Visual-Only Speech and Speaker Recognition : Issues about Theory , System Design , and Implementation",Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, +f4afc9ebafce950b81081e25efc2d8f5fb1f17e7,Tag-aware image classification via Nested Deep Belief nets,China,China,China,35.86166000,104.19539700,edu, f467eb5e7f9d49ab318401f961109882c00f2720,Face/Off: Preventing Privacy Leakage From Photos in Social Networks,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, f4f9697f2519f1fe725ee7e3788119ed217dca34,Selfie-Presentation in Everyday Life: A Large-Scale Characterization of Selfie Contexts on Instagram,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, f4865cd9d6a2b26cf6656a399ca7c3cc1668d556,Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, f46097e264c7b0e47c4b1d1b476e5e6c1db9cc30,Bird Nest Images Classification Based on Canny Edge Detection and Local Binary Pattern,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, +f44f13a8245bed66fff16a50d6ecc6d56151029d,Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, +f4b729d218139f1e93cc9d4df05fbf699d2e9d07,Introduction to the Special Issue on Recent Advances in Biometric Systems,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, f4af49a1ead3c81cc5d023878cb67c5646dd8a04,Learning a Recurrent Visual Representation for Image Caption Generation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, -f4af49a1ead3c81cc5d023878cb67c5646dd8a04,Learning a Recurrent Visual Representation for Image Caption Generation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +f4af49a1ead3c81cc5d023878cb67c5646dd8a04,Learning a Recurrent Visual Representation for Image Caption Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, f4421adced24d729d5ed22559308c2b4719b44c2,End-to-end 3 D face reconstruction with deep neural networks,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, f437b3884a9e5fab66740ca2a6f1f3a5724385ea,Human identification technical challenges,DARPA,DARPA,"3701 Fairfax Dr, Arlington, VA 22203, USA",38.88334130,-77.10459770,mil,"3701 N. Fairfax Dr., Arlington, VA 22203" f499e84b489b0b4afe86e303803871700e561063,"A Framework for Fashion Data Gathering, Hierarchical-Annotation and Analysis for Social Media and Online Shop TOOLKIT FOR DETAILED STYLE ANNOTATIONS FOR ENHANCED FASHION RECOMMENDATION","KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, f4b15fdcaaa3ad604b82df05f5d7f59dbcfe861d,An Event Reconstruction Tool for Conflict Monitoring Using Social Media,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, f43eeb578e0ca48abfd43397bbd15825f94302e4,Optical computer recognition of facial expressions associated with stress induced by performance demands.,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, f4a397577302ad1f270c2541e6230064882921cc,Hard to Cheat: A Turing Test based on Answering Questions about Images,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +f43463770d361e55fb6f6eb801a6e8530ab668cd,Corpus Construction and Semantic Analysis of Indonesian Image Description,India,India,India,20.59368400,78.96288000,edu, f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks for Crowd Counting,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks for Crowd Counting,China,China,China,35.86166000,104.19539700,edu, +f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks for Crowd Counting,China,China,China,35.86166000,104.19539700,edu, f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks for Crowd Counting,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks for Crowd Counting,China,China,China,35.86166000,104.19539700,edu, 0a79d0ba1a4876086e64fc0041ece5f0de90fbea,FACE ILLUMINATION NORMALIZATION WITH SHADOW CONSIDERATION,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0a85afebaa19c80fddb660110a4352fd22eb2801,Neural Animation and Reenactment of Human Actor Videos,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, 0a85afebaa19c80fddb660110a4352fd22eb2801,Neural Animation and Reenactment of Human Actor Videos,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, @@ -7946,17 +9726,22 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 0a55824aa80e5a06af5bf8ba089b19db245471f1,Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 0a55824aa80e5a06af5bf8ba089b19db245471f1,Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 0a55824aa80e5a06af5bf8ba089b19db245471f1,Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +0a55824aa80e5a06af5bf8ba089b19db245471f1,Quantifying Tourist Behavior Patterns by Travel Motifs and Geo-Tagged Photos from Flickr,China,China,China,35.86166000,104.19539700,edu, 0a24a16cb9f6d95453d4cd6d0bd5bdad4199e3cc,Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 0a24a16cb9f6d95453d4cd6d0bd5bdad4199e3cc,Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 0a24a16cb9f6d95453d4cd6d0bd5bdad4199e3cc,Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +0a24a16cb9f6d95453d4cd6d0bd5bdad4199e3cc,Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm,Finland,Finland,Finland,61.92411000,25.74815110,edu, 0ad1fefa54f69d9efa0112f2e60c19841d5e9346,ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 0ad1fefa54f69d9efa0112f2e60c19841d5e9346,ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +0a6c36de8726b6feaab586046ddc1d1a008f44f9,Filtered channel features for pedestrian detection,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 0a34fe39e9938ae8c813a81ae6d2d3a325600e5c,FacePoseNet: Making a Case for Landmark-Free Face Alignment,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu, 0ad119275960fd1b68004feeb84d41b91bc273c8,Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 0aa405447a8797e509521f0570e4679a42fdac9b,Discriminately decreasing discriminability with learned image filters,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 0a64f4fec592662316764283575d05913eb2135b,Joint Pixel and Feature-level Domain Adaptation in the Wild,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 0a9345ea6e488fb936e26a9ba70b0640d3730ba7,Deep Bi-directional Cross-triplet Embedding for Cross-Domain Clothing Retrieval,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 0a9345ea6e488fb936e26a9ba70b0640d3730ba7,Deep Bi-directional Cross-triplet Embedding for Cross-Domain Clothing Retrieval,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +0a60d9d62620e4f9bb3596ab7bb37afef0a90a4f,Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates,Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu, +0a4ba4d5bd6e07a31fa4586322fd5e07d9f9975e,Online Bayesian Nonparametrics for Group Detection,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 0a561e6f0aecd182ddaf526220acc75f6583816e,CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 0a5718f6a60ca18e6b6de5660c49040ac0045d7a,Automatic classification of the Parkinson ’ s patient stiffness from a single videosequence,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, 0a5718f6a60ca18e6b6de5660c49040ac0045d7a,Automatic classification of the Parkinson ’ s patient stiffness from a single videosequence,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, @@ -7967,6 +9752,9 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, 0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, 0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, +0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu, +0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu, +0af3c97068638ec2b79b93ff8b3fde9bd999f153,Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering,"Guangzhou, China","Guangzhou, China","Guangzhou, Guangdong, China",23.12911000,113.26438500,edu, 0ae910ef0cb2f193a43d3a592b7b62ef8bd13058,Weakly Supervised Saliency Detection with A Category-Driven Map Generator,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 0a789733ccb300d0dd9df6174faaa7e8c64e0409,High-Resolution Multispectral Dataset for Semantic Segmentation,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 0a11b82aa207d43d1b4c0452007e9388a786be12,Feature Level Multiple Model Fusion Using Multilinear Subspace Analysis with Incomplete Training Set and Its Application to Face Image Analysis,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, @@ -7980,6 +9768,8 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 0a5ffc55b584da7918c2650f9d8602675d256023,Efficient Face Alignment via Locality-constrained Representation for Robust Recognition,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 0a5ffc55b584da7918c2650f9d8602675d256023,Efficient Face Alignment via Locality-constrained Representation for Robust Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 0aae88cf63090ea5b2c80cd014ef4837bcbaadd8,3D Face Structure Extraction from Images at Arbitrary Poses and under Arbitrary Illumination Conditions,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu, +0a391c4d7aafa73324549f212cf28640ed471a81,From Caregivers to Peers: Puberty Shapes Human Face Perception.,Pennsylvania State University,Pennsylvania State University,,,,edu, +0acc526e1fbef5bed4c63623e370a4710206e997,Shape guided contour grouping with particle filters,China,China,China,35.86166000,104.19539700,edu, 0acc526e1fbef5bed4c63623e370a4710206e997,Shape guided contour grouping with particle filters,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 0acc526e1fbef5bed4c63623e370a4710206e997,Shape guided contour grouping with particle filters,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 0acc526e1fbef5bed4c63623e370a4710206e997,Shape guided contour grouping with particle filters,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, @@ -7989,7 +9779,9 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 0a71b71421d8a33c41625963d19d5df85685dffc,Analyzing Behavior Specialized Acceleration,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 0a850a9fc853c358aea1167e1f965cda8980b7fd,INDREX: in-database distributional relation extraction,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 0a13581afdae66bcf52755bfb53410e6e54c1840,Restricting Greed in Training of Generative Adversarial Network,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +0adb5923fb1955f7ca0a85454afe17e5d25425df,Crowd motion monitoring using tracklet-based commotion measure,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 0aa303109a3402aa5a203877847d549c4a24d933,Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +0a2aca07c9e15de3d5924e156af9a8e1a67b4cab,Person Reidentification With Reference Descriptor,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0aa0e5f96d512fcd2357129ad4363d6ae961327e,Unsupervised Hard Example Mining from Videos for Improved Object Detection,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 0aa74ad36064906e165ac4b79dec298911a7a4db,Variational Inference for the Indian Buffet Process,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu, 0aa74ad36064906e165ac4b79dec298911a7a4db,Variational Inference for the Indian Buffet Process,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu, @@ -8003,12 +9795,20 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 0ad6dc4554fd5c0212993677c160af31fd27e243,Measuring Crowd Collectiveness,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 0ad6dc4554fd5c0212993677c160af31fd27e243,Measuring Crowd Collectiveness,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 0a81e5c6429a85564ba742726850109ae07dd24c,Perceptually Inspired Layout-Aware Losses for Image Segmentation,Moscow State University,Moscow State University,"ul. Leninskiye Gory, 1, Moskva, Russia, 119991",55.70393490,37.52866960,edu, -0a81e5c6429a85564ba742726850109ae07dd24c,Perceptually Inspired Layout-Aware Losses for Image Segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +0a81e5c6429a85564ba742726850109ae07dd24c,Perceptually Inspired Layout-Aware Losses for Image Segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 0a808a17f5c86413bd552a324ee6ba180a12f46d,Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 0a267d927cfae039cf0a9c995a59ded563344eb6,Model Selection Management Systems: The Next Frontier of Advanced Analytics,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, +0a267d927cfae039cf0a9c995a59ded563344eb6,Model Selection Management Systems: The Next Frontier of Advanced Analytics,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 0a52919e4473eb7bc20982094e8497570d797b13,Building Class Sensitive Models for Tracking Applications,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu, 0a4fc9016aacae9cdf40663a75045b71e64a70c9,Illumination Normalization Based on Homomorphic Wavelet Filtering for Face Recognition,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +0a4fc9016aacae9cdf40663a75045b71e64a70c9,Illumination Normalization Based on Homomorphic Wavelet Filtering for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +0a4fc9016aacae9cdf40663a75045b71e64a70c9,Illumination Normalization Based on Homomorphic Wavelet Filtering for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +0a4fc9016aacae9cdf40663a75045b71e64a70c9,Illumination Normalization Based on Homomorphic Wavelet Filtering for Face Recognition,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 0ae80aa149764e91544bbe45b80bb50434e7bda9,Ambient Sound Provides Supervision for Visual Learning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +0a1138276c52c734b67b30de0bf3f76b0351f097,Discriminant Incoherent Component Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0ab55cacf597b25ca649ded6ee5c05a76fb437bc,Quality-Based Multimodal Classification Using Tree-Structured Sparsity,Pennsylvania State University,Pennsylvania State University,,,,edu, +0ab55cacf597b25ca649ded6ee5c05a76fb437bc,Quality-Based Multimodal Classification Using Tree-Structured Sparsity,Pennsylvania State University,Pennsylvania State University,,,,edu, +0ab55cacf597b25ca649ded6ee5c05a76fb437bc,Quality-Based Multimodal Classification Using Tree-Structured Sparsity,Pennsylvania State University,Pennsylvania State University,,,,edu, 0ae247153afd87f98829359a8b5df0f68d788d75,A Corpus for Reasoning About Natural Language Grounded in Photographs,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 0ae247153afd87f98829359a8b5df0f68d788d75,A Corpus for Reasoning About Natural Language Grounded in Photographs,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 0a70401d161c6c180d84e8139ee8bfbaadb2baad,Image retagging,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, @@ -8019,8 +9819,13 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 0a814669f4a0198e46a3a0d91a1bbb81bb089216,"Deficits in facial, body movement and vocal emotional processing in autism spectrum disorders.",University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 0a814669f4a0198e46a3a0d91a1bbb81bb089216,"Deficits in facial, body movement and vocal emotional processing in autism spectrum disorders.",University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 0a814669f4a0198e46a3a0d91a1bbb81bb089216,"Deficits in facial, body movement and vocal emotional processing in autism spectrum disorders.",University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0af7632427f70f2327cdf5188b814fa55d7551df,Hidden Markov models for face recognition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 0ae427cc645162f1a110ffce7b94cd9400138527,Decentralized Dictionary Learning Over Time-Varying Digraphs Decentralized Dictionary Learning Over Time-Varying Digraphs,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +0ad90ad5d2050ebaba5b5cddeb474c7d889bec3e,A Unified Semantic Embedding: Relating Taxonomies and Attributes,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 0ae8377a984125802a69a93df7c9fe640b55aeac,Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, 0ae8377a984125802a69a93df7c9fe640b55aeac,Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, 0ae8377a984125802a69a93df7c9fe640b55aeac,Automated classification of tropical shrub species: a hybrid of leaf shape and machine learning approach,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, @@ -8028,10 +9833,12 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 0a096971eb2ae77572ae35617c1742fea8a1f86a,Deep Ordinal Regression Network for Monocular Depth Estimation,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 0a096971eb2ae77572ae35617c1742fea8a1f86a,Deep Ordinal Regression Network for Monocular Depth Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0a0d5283439f088c158fcec732e2593bb3cd57ad,Who Blocks Who: Simultaneous clothing segmentation for grouping images,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +0a058caa89d195930224148d3d2897c0c08fc668,Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning,Russia,Russia,Russia,61.52401000,105.31875600,edu, 0aa74a922604e200fb92194301d4a4786cc1a74c,Human Factors in Forensic Face Identification,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, 0aa74a922604e200fb92194301d4a4786cc1a74c,Human Factors in Forensic Face Identification,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, 0aa74a922604e200fb92194301d4a4786cc1a74c,Human Factors in Forensic Face Identification,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, 0ad8149318912b5449085187eb3521786a37bc78,CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval,University of Caen,University of Caen,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, +0ad8149318912b5449085187eb3521786a37bc78,CP-mtML: Coupled Projection Multi-Task Metric Learning for Large Scale Face Retrieval,India,India,India,20.59368400,78.96288000,edu, 0a0321785c8beac1cbaaec4d8ad0cfd4a0d6d457,Learning Invariant Deep Representation for NIR-VIS Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 268e91262c85ff1ce99dfc5751e2b6e44c808325,26 Frequency Domain Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 260fca0b9eb144fc54f1872b8cc418ae3fdce756,Class-specific nonlinear subspace learning based on optimized class representation,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, @@ -8045,7 +9852,10 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 265c53ce3fbdb3f2623c4b20f38b94d3ed1d878c,Face Destylization,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 266ed43dcea2e7db9f968b164ca08897539ca8dd,Beyond Principal Components: Deep Boltzmann Machines for face modeling,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 266ed43dcea2e7db9f968b164ca08897539ca8dd,Beyond Principal Components: Deep Boltzmann Machines for face modeling,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +2654ef92491cebeef0997fd4b599ac903e48d07a,Facial expression recognition from near-infrared video sequences,Finland,Finland,Finland,61.92411000,25.74815110,edu, 2654ef92491cebeef0997fd4b599ac903e48d07a,Facial expression recognition from near-infrared video sequences,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +2654ef92491cebeef0997fd4b599ac903e48d07a,Facial expression recognition from near-infrared video sequences,China,China,China,35.86166000,104.19539700,edu, +26d3f57dd09efff6315ae0064cdad4877f5297d7,Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly,China,China,China,35.86166000,104.19539700,edu, 26d3f57dd09efff6315ae0064cdad4877f5297d7,Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 26d3f57dd09efff6315ae0064cdad4877f5297d7,Multiple Object Tracking by Learning Feature Representation and Distance Metric Jointly,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 26acc572c644d57445170a309daf7765aca6ab45,Learning for Sequential Classification,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, @@ -8054,10 +9864,13 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 261c3e30bae8b8bdc83541ffa9331b52fcf015e6,Shape-from-shading Driven 3D Morphable Models for Illumination Insensitive Face Recognition,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 26cd9c812c279347ae96db31cee1cbee0f646fa4,Harnessing ISA diversity: Design of a heterogeneous-ISA chip multiprocessor,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 2679e4f84c5e773cae31cef158eb358af475e22f,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +2679e4f84c5e773cae31cef158eb358af475e22f,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 2679e4f84c5e773cae31cef158eb358af475e22f,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 2679e4f84c5e773cae31cef158eb358af475e22f,Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 2633ee01b41edf9df7bf399e55e14d0c7412523a,Robust Face Recognition through Local Graph Matching,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, 2633ee01b41edf9df7bf399e55e14d0c7412523a,Robust Face Recognition through Local Graph Matching,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +2643a611f10ce8acfef41e1e49d1be04d5d34190,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,India,India,India,20.59368400,78.96288000,edu, +2643a611f10ce8acfef41e1e49d1be04d5d34190,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,India,India,India,20.59368400,78.96288000,edu, 26a471a491c2fb162ad403ed932b481d386306c7,Fast Zero-Shot Image Tagging,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 267bd60e442d87c44eaae3290610138e63d663ab,PoseTrack: Joint Multi-person Pose Estimation and Tracking,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 267bd60e442d87c44eaae3290610138e63d663ab,PoseTrack: Joint Multi-person Pose Estimation and Tracking,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, @@ -8083,6 +9896,7 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 2625314d30a8dfaf918e93a8e7b243b2e078d191,An Adversarial Approach to Hard Triplet Generation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 2625314d30a8dfaf918e93a8e7b243b2e078d191,An Adversarial Approach to Hard Triplet Generation,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 267c8798a5c602dae05908b63f031dbdb81fc42b,Amodal Instance Segmentation,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, +26c884829897b3035702800937d4d15fef7010e4,Facial Expression Recognition by Supervised Independent Component Analysis Using MAP Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 269248eb8a44da5248cef840f7079b1294dbf237,The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 269248eb8a44da5248cef840f7079b1294dbf237,The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 261b3869bf60d4049acaf251f9015ff644299e45,Sparse Representation for Face Recognition,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, @@ -8091,7 +9905,7 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 26a44feb7a64db7986473ca801c251aa88748477,Unsupervised Learning of Mixture Models with a Uniform Background Component,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, 264175a074c56667f90db9780580368925944577,Constructing Unrestricted Adversarial Examples with Generative Models,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 264175a074c56667f90db9780580368925944577,Constructing Unrestricted Adversarial Examples with Generative Models,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, -264175a074c56667f90db9780580368925944577,Constructing Unrestricted Adversarial Examples with Generative Models,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +264175a074c56667f90db9780580368925944577,Constructing Unrestricted Adversarial Examples with Generative Models,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 264175a074c56667f90db9780580368925944577,Constructing Unrestricted Adversarial Examples with Generative Models,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 26c9e57116061594ef843141a6a8bc49759f766c,Beyond Physical Connections: Tree Models in Human Pose Estimation,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 26c58e24687ccbe9737e41837aab74e4a499d259,"Codemaps - Segment, Classify and Search Objects Locally",University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, @@ -8099,21 +9913,26 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 26aa0aff1ea1baf848a521363cc455044690e090,A 2 D + 3 D Rich Data Approach to Scene Understanding by Jianxiong,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 2670c4b556264605c32326f49ab4a8b4e83ab57f,Looking ahead: Anticipatory cueing of attention to objects others will look at.,Plymouth University,Plymouth University,"Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37552690,-4.13937687,edu, 2670c4b556264605c32326f49ab4a8b4e83ab57f,Looking ahead: Anticipatory cueing of attention to objects others will look at.,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, +26c89f890da91119ffa16d5a23fba963257ef3fc,Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 261a7be6c650de797c7490aeeefba98662acaa20,Shell PCA: Statistical Shape Modelling in Shell Space,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 261a7be6c650de797c7490aeeefba98662acaa20,Shell PCA: Statistical Shape Modelling in Shell Space,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 26eb2c900814707ae962184ad4173e754247a80a,Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +267bb08aa4eeefa1ef653716ca0ab572748a3a4e,Vision-Based Real-Time Aerial Object Localization and Tracking for UAV Sensing System,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 26029a63b2377ef81e3898f55bb204fd853c3e31,PRISM: PRincipled Implicit Shape Model,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 260aed27abfe751b3d90aad9c0805d35c359ebd5,Efficient Learning of Domain-invariant Image Representations,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 26d407b911d1234e8e3601e586b49316f0818c95,[POSTER] Feasibility of Corneal Imaging for Handheld Augmented Reality,Coburg University,Coburg University,"Hochschule für angewandte Wissenschaften Coburg, 2, Friedrich-Streib-Straße, Callenberg, Coburg, Oberfranken, Bayern, 96450, Deutschland",50.26506145,10.95196483,edu, 264f7ab36ff2e23a1514577a6404229d7fe1242b,Facial Expression Recognition by De-expression Residue Learning,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, 159e792096756b1ec02ec7a980d5ef26b434ff78,Signed Laplacian Embedding for Supervised Dimension Reduction,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 159e792096756b1ec02ec7a980d5ef26b434ff78,Signed Laplacian Embedding for Supervised Dimension Reduction,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +15b44a1c3602385b6cf3eeb049cb2d6c12bb7d74,Automatic semantic annotation of images based on Web data,China,China,China,35.86166000,104.19539700,edu, +15b44a1c3602385b6cf3eeb049cb2d6c12bb7d74,Automatic semantic annotation of images based on Web data,China,China,China,35.86166000,104.19539700,edu, 15885415819f2a9db8eee46ea6b6224c759801fa,Face Recognition with Local Binary Patterns,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 1576ed0f3926c6ce65e0ca770475bca6adcfdbb4,Keep it accurate and diverse: Enhancing action recognition performance by ensemble learning,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 15b0e598d9692d77aa33370dd3a1a47ba5f99aa6,Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 158452a25143013e4c406ee2d41a7399c34df3db,Detecting Snap Points in Egocentric Video with a Web Photo Prior,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 1565721ebdbd2518224f54388ed4f6b21ebd26f3,Face and landmark detection by using cascade of classifiers,Eskisehir Osmangazi University,Eskisehir Osmangazi University,"Eskişehir Osmangazi Üniversitesi Meşelik Yerleşkesi, Kütahya-Eskişehir yolu, Sazova Mahallesi, Karagözler, Tepebaşı, Eskişehir, İç Anadolu Bölgesi, 26160, Türkiye",39.74875160,30.47653071,edu, 1565721ebdbd2518224f54388ed4f6b21ebd26f3,Face and landmark detection by using cascade of classifiers,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, +1548cea1fa9be7a23d4d1e38086336913d501e44,Semantic 3 D Reconstruction of Heads Supplementary Material,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 1504eae5487e1e062fef96e1e424de5d3a5a3858,MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 1504eae5487e1e062fef96e1e424de5d3a5a3858,MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 1504eae5487e1e062fef96e1e424de5d3a5a3858,MSRC: Multimodal Spatial Regression with Semantic Context for Phrase Grounding,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, @@ -8122,11 +9941,14 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 158e32579e38c29b26dfd33bf93e772e6211e188,Automated Real Time Emotion Recognition using Facial Expression Analysis,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu, 152ca42d6701db43dbd8a37901d56a52e4a9e6f9,Social negative bootstrapping for visual categorization,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 158974dc6503cb4939b87a1fffe17871e8a48c91,Local Sparse Discriminant Analysis for Robust Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +15df73918e084a146cd215b839a3eec1cc813a78,Projection Peak Analysis for Rapid Eye Localization,Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, +156b194d0cee545337524bd993ae640ed227b79e,RADON TRANSFORM AND SYMBOLIC LINEAR DISCRIMINANT ANALYSIS BASED 3 D FACE RECOGNITION USING KNN AND SVM,India,India,India,20.59368400,78.96288000,edu, 15fbe139cbfd19513763db06b8ffa2e21168ca4e,GestureGAN for Hand Gesture-to-Gesture Translation in the Wild,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 15fbe139cbfd19513763db06b8ffa2e21168ca4e,GestureGAN for Hand Gesture-to-Gesture Translation in the Wild,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 15a0546ee32ac391f342a6188446dd6699a1d7b8,Person reID while Crossing Different Cameras : Combination of Salient-Gaussian Weighted BossaNova and Fisher Vector Encodings,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" 15252b7af081761bb00535aac6bd1987391f9b79,Estimation of eye gaze direction angles based on active appearance models,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, 1505e0aea7f82488dad1448e79b22c3b0ebc65cf,"Fast , Approximate 3 D Face Reconstruction from Multiple Views",University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, +15f70a0ad8903017250927595ae2096d8b263090,Learning Robust Deep Face Representation,China,China,China,35.86166000,104.19539700,edu, 15d653972d176963ef0ad2cc582d3b35ca542673,CSVideoNet: A Real-Time End-to-End Learning Framework for High-Frame-Rate Video Compressive Sensing,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 15810b5057730a1c7c047d47f42a94dafc0fd95a,Computational Modeling of Human Multimodal Language : The MOSEI Dataset and Interpretable Dynamic Fusion,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 15810b5057730a1c7c047d47f42a94dafc0fd95a,Computational Modeling of Human Multimodal Language : The MOSEI Dataset and Interpretable Dynamic Fusion,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -8144,12 +9966,18 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 1564bf0a268662df752b68bee5addc4b08868739,With whom do I interact? Detecting social interactions in egocentric photo-streams,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 1582c29d0f752f95a12f5a8ce08d5e5c752f6822,Developmental changes in infants' categorization of anger and disgust facial expressions.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 156cd2a0e2c378e4c3649a1d046cd080d3338bca,Exemplar based approaches on Face Fiducial Detection and Frontalization,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +156cd2a0e2c378e4c3649a1d046cd080d3338bca,Exemplar based approaches on Face Fiducial Detection and Frontalization,India,India,India,20.59368400,78.96288000,edu, 155199d7f10218e29ddaee36ebe611c95cae68c4,Towards Scalable Visual Navigation of Micro Aerial Vehicles,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 155199d7f10218e29ddaee36ebe611c95cae68c4,Towards Scalable Visual Navigation of Micro Aerial Vehicles,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +1542b8a1805d73a755d4b2eb402c5c861e6acd02,PMCTrack: Delivering Performance Monitoring Counter Support to the OS Scheduler,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +15cf1f17aeba62cd834116b770f173b0aa614bf4,Facial Expression Recognition using Neural Network with Regularized Backpropagation Algorithm,India,India,India,20.59368400,78.96288000,edu, +15cf1f17aeba62cd834116b770f173b0aa614bf4,Facial Expression Recognition using Neural Network with Regularized Backpropagation Algorithm,India,India,India,20.59368400,78.96288000,edu, +15cf1f17aeba62cd834116b770f173b0aa614bf4,Facial Expression Recognition using Neural Network with Regularized Backpropagation Algorithm,India,India,India,20.59368400,78.96288000,edu, 150855fdaca2ff3ae5a51da4f82f120a92cac104,SmartSketcher: sketch-based image retrieval with dynamic semantic re-ranking,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 15e1af79939dbf90790b03d8aa02477783fb1d0f,Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 151481703aa8352dc78e2577f0601782b8c41b34,Appearance Manifold of Facial Expression,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 15d1582c8b65dbab5ca027467718a2c286ddce7a,"On robust face recognition via sparse coding: the good, the bad and the ugly",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +15d1582c8b65dbab5ca027467718a2c286ddce7a,"On robust face recognition via sparse coding: the good, the bad and the ugly",NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 15d1582c8b65dbab5ca027467718a2c286ddce7a,"On robust face recognition via sparse coding: the good, the bad and the ugly",University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 15d1582c8b65dbab5ca027467718a2c286ddce7a,"On robust face recognition via sparse coding: the good, the bad and the ugly",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 1586871a1ddfe031b885b94efdbff647cf03eff1,A Century of Portraits: A Visual Historical Record of American High School Yearbooks,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, @@ -8164,8 +9992,12 @@ f4dc1ca2051dc191751eb92a753f028228134e62,In Defense of Single-column Networks fo 15db3bb041ee06a369f0cd478369c75618a35387,Pathological game use in adults with and without Autism Spectrum Disorder,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 15912abb1fe1457bb358d2d2b0e586c1987b6e25,Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 15122ef718265beb4cb1a74e5d1f41c5edcb4ba5,On the Euclidean distance of images,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +15122ef718265beb4cb1a74e5d1f41c5edcb4ba5,On the Euclidean distance of images,China,China,China,35.86166000,104.19539700,edu, +157d2c6dd8c9999b251099ef4211cff8030ae486,Invariance properties of Gabor filter-based features-overview and applications,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 15cf7bdc36ec901596c56d04c934596cf7b43115,Face Extraction from Image based on K-Means Clustering Algorithms,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, +1536579229a334640735725e0b886f8d03aca1e8,Rank of Experts: Detection Network Ensemble,"Electronics and Telecommunications Research Institute, Daejeon, South Korea","Electronics and Telecommunications Research Institute, Daejeon, South Korea","Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea",36.38376500,127.36694000,edu, 15811446dce3242813160e68cf79e30a8c03dcbe,Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, +1553084dcbf2235428e7dbf57b57e567c5ea4d1f,AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale,China,China,China,35.86166000,104.19539700,edu, 1574abc94d22b03f8c9630f0eb7ad1f8ed67880e,Cross-View Image Synthesis using Conditional GANs,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, bea0bb77c0d75c3d70fefc274bfbff93a3eff015,Video Captioning with Transferred Semantic Attributes,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, bea0bb77c0d75c3d70fefc274bfbff93a3eff015,Video Captioning with Transferred Semantic Attributes,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, @@ -8173,25 +10005,34 @@ bebb8a97b2940a4e5f6e9d3caf6d71af21585eda,Mapping Emotional Status to Facial Expr be86d88ecb4192eaf512f29c461e684eb6c35257,Automatic Attribute Discovery and Characterization from Noisy Web Data,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, be86d88ecb4192eaf512f29c461e684eb6c35257,Automatic Attribute Discovery and Characterization from Noisy Web Data,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, beea33ccd9423d48d6cfb928469bbe7841e63e73,DIARETDB 1 diabetic retinopathy database and evaluation protocol,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +beea33ccd9423d48d6cfb928469bbe7841e63e73,DIARETDB 1 diabetic retinopathy database and evaluation protocol,Finland,Finland,Finland,61.92411000,25.74815110,edu, be84d76093a791bf78bed74ef1d7db54abeca878,Open World Face Recognition with Credibility and Confidence Measures,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, beb0239feac388e4ee04492159a45f7e2c71e1e3,POI: Multiple Object Tracking with High Performance Detection and Appearance Feature,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, beb0239feac388e4ee04492159a45f7e2c71e1e3,POI: Multiple Object Tracking with High Performance Detection and Appearance Feature,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" beecaf2d6e9d102b6b2459ea38e15179a4b55ffd,Surveillance Video Parsing with Single Frame Supervision,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +beecaf2d6e9d102b6b2459ea38e15179a4b55ffd,Surveillance Video Parsing with Single Frame Supervision,China,China,China,35.86166000,104.19539700,edu, bef6daed8cd1ac90ee1c0a42e5c019bbf523491c,"Total Variation, Cheeger Cuts","University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, be2188396e61d8839f6aa32a357eabc3b70ddb23,ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, be57d2aaab615ec8bc1dd2dba8bee41a4d038b85,Automatic Analysis of Naturalistic Hand-Over-Face Gestures,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +bee512a8117ef26e5c9fbcc36da8d0d0fabcc5d5,Online Adaptative Curriculum Learning for GANs,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, bee512a8117ef26e5c9fbcc36da8d0d0fabcc5d5,Online Adaptative Curriculum Learning for GANs,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, bee512a8117ef26e5c9fbcc36da8d0d0fabcc5d5,Online Adaptative Curriculum Learning for GANs,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, bee512a8117ef26e5c9fbcc36da8d0d0fabcc5d5,Online Adaptative Curriculum Learning for GANs,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, be2ce56434c8cf50c08f8be6f4f9b9f7c716eabd,A convnet for non-maximum suppression,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, be9cab9e9040b667e7902a4d9fbf1a358b350d60,Pedestrian detection and tracking using HOG and oriented-LBP features,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +beb3fd2da7f8f3b0c3ebceaa2150a0e65736d1a2,Adaptive Histogram Equalization and Logarithm Transform with Rescaled Low Frequency DCT Coefficients for Illumination Normalization,India,India,India,20.59368400,78.96288000,edu, +be993d793e393127e3fb34d27fda255894edaedc,UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +beb49072f5ba79ed24750108c593e8982715498e,GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data,China,China,China,35.86166000,104.19539700,edu, beb49072f5ba79ed24750108c593e8982715498e,GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +beb49072f5ba79ed24750108c593e8982715498e,GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data,China,China,China,35.86166000,104.19539700,edu, be4f7679797777f2bc1fd6aad8af67cce5e5ce87,Interestingness Prediction by Robust Learning to Rank,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, be4f7679797777f2bc1fd6aad8af67cce5e5ce87,Interestingness Prediction by Robust Learning to Rank,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, be99cefefa264f6070f56f1fe4c07151e360ff3a,A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu, be99cefefa264f6070f56f1fe4c07151e360ff3a,A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu, be99cefefa264f6070f56f1fe4c07151e360ff3a,A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu, be99cefefa264f6070f56f1fe4c07151e360ff3a,A Method for the Construction and Application of the Term Hierarchy Relationship Residing in Relevance Feedback,National Central University,National Central University,"NCU, 300, 中大路, 上三座屋, 五權里, 樹林子, 中壢區, 桃園市, 320, 臺灣",24.96841805,121.19139696,edu, +be48b5dcd10ab834cd68d5b2a24187180e2b408f,Constrained Low-Rank Learning Using Least Squares-Based Regularization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +be48b5dcd10ab834cd68d5b2a24187180e2b408f,Constrained Low-Rank Learning Using Least Squares-Based Regularization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, be5276e9744c4445fe5b12b785650e8f173f56ff,Spatio-Temporal VLAD Encoding for Human Action Recognition in Videos,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, be5276e9744c4445fe5b12b785650e8f173f56ff,Spatio-Temporal VLAD Encoding for Human Action Recognition in Videos,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, be5276e9744c4445fe5b12b785650e8f173f56ff,Spatio-Temporal VLAD Encoding for Human Action Recognition in Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, @@ -8205,6 +10046,7 @@ bedc1572ecf2a46aa5a0c49315fcb1bc26dd74e5,Towards a theory of computation in the bec2c65a8419b9ecaf04e8c854b5ad391894a6f1,Construction of a bird image dataset for ecological investigations,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, bed8a74e75ed96868ce81ed1080433ef5be66a52,Supervising the New with the Old: Learning SFM from SFM,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, bec31269632c17206deb90cd74367d1e6586f75f,Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, +bea2c35ef78eb40df52e27cf4098f28a79bcbad5,TabletGaze: Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, be15ea7d7caa1468afba5a7dc63965e2eb54ec08,Matching Features without Descriptors: Implicitly Matched Interest Points (IMIPs),Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, be28ed1be084385f5d389db25fd7f56cd2d7f7bf,Exploring computation-communication tradeoffs in camera systems,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, be28ed1be084385f5d389db25fd7f56cd2d7f7bf,Exploring computation-communication tradeoffs in camera systems,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, @@ -8219,16 +10061,19 @@ be7bb84581b09f47668966d0cb70df0876c84a21,Fixation detection for head-mounted eye becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition via Structured Sparsity,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu, becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition via Structured Sparsity,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition via Structured Sparsity,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, -19d1855e021561d6da9d0200bb18e47f51cddda6,Visual Storytelling,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +be72b20247fb4dc4072d962ced77ed89aa40372f,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN",Russia,Russia,Russia,61.52401000,105.31875600,edu, +19d1855e021561d6da9d0200bb18e47f51cddda6,Visual Storytelling,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 19d1855e021561d6da9d0200bb18e47f51cddda6,Visual Storytelling,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1947791685597368400ca0429695658d1f68541c,Physiological responses to social and nonsocial stimuli in neurotypical adults with high and low levels of autistic traits: implications for understanding nonsocial drive in autism spectrum disorders.,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, 1947791685597368400ca0429695658d1f68541c,Physiological responses to social and nonsocial stimuli in neurotypical adults with high and low levels of autistic traits: implications for understanding nonsocial drive in autism spectrum disorders.,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, +1910f5f7ac81d4fcc30284e88dee3537887acdf3,Semantic Based Hypergraph Reranking Model for Web Image Search,India,India,India,20.59368400,78.96288000,edu, 1921e0a97904bdf61e17a165ab159443414308ed,Retrieval of Web Images for Computer Vision Research,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu, 191e58d41835d59b918759efb9d7b59fd8e5ee00,Branch and track,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 191e58d41835d59b918759efb9d7b59fd8e5ee00,Branch and track,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 193debca0be1c38dabc42dc772513e6653fd91d8,Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 193debca0be1c38dabc42dc772513e6653fd91d8,Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 193debca0be1c38dabc42dc772513e6653fd91d8,Mnemonic Descent Method: A Recurrent Process Applied for End-to-End Face Alignment,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +199fdc3c0b73d9469d2e732c97e889bfc8bf8bff,"Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1903276bb462d3ccd4f1fac3a8e34a53045ef8a1,Attention-Aware Face Hallucination via Deep Reinforcement Learning,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 192c7672216dcfb60da0e7953c1b044d1c209d3d,Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 192c7672216dcfb60da0e7953c1b044d1c209d3d,Marker-Less 3D Human Motion Capture with Monocular Image Sequence and Height-Maps,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, @@ -8239,12 +10084,16 @@ becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition v 192235f5a9e4c9d6a28ec0d333e36f294b32f764,Reconfiguring the Imaging Pipeline for Computer Vision,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 192235f5a9e4c9d6a28ec0d333e36f294b32f764,Reconfiguring the Imaging Pipeline for Computer Vision,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 19997d39447e570c7030a214eb4d81e3669ffd1f,Ultrasound confidence maps and applications in medical image processing,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +1938d85feafdaa8a65cb9c379c9a81a0b0dcd3c4,Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1938d85feafdaa8a65cb9c379c9a81a0b0dcd3c4,Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1938d85feafdaa8a65cb9c379c9a81a0b0dcd3c4,Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 19676dd4422301a11aa5fe5e5316e2c412987302,Synthesizing Samples for Zero-shot Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 19676dd4422301a11aa5fe5e5316e2c412987302,Synthesizing Samples for Zero-shot Learning,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, 1958da636ce92d36c0985a6cb00696d90b2475f3,Upper Body Pose Estimation with Temporal Sequential Forests,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu, 1958da636ce92d36c0985a6cb00696d90b2475f3,Upper Body Pose Estimation with Temporal Sequential Forests,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +1958da636ce92d36c0985a6cb00696d90b2475f3,Upper Body Pose Estimation with Temporal Sequential Forests,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 19a9f658ea14701502d169dc086651b1d9b2a8ea,Structural models for face detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +1957956856dc04ebee5815bd62874687e2af7260,Joint Optical Flow and Temporally Consistent Semantic Segmentation,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 19d3b02185ad36fb0b792f2a15a027c58ac91e8e,Im2Text: Describing Images Using 1 Million Captioned Photographs,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 19458454308a9f56b7de76bf7d8ff8eaa52b0173,Deep Features for Recognizing Disguised Faces in the Wild,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 1929863fff917ee7f6dc428fc1ce732777668eca,UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, @@ -8254,6 +10103,7 @@ becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition v 19cd6053bbb9b9c67da0c0881e31019f9ce28154,Random Laplace Feature Maps for Semigroup Kernels on Histograms,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, 191f8b564c4f90d2ba7423fcce4efd7e902f4f77,"Weakly Supervised Learning of Objects, Attributes and their Associations",University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 19d1b811df60f86cbd5e04a094b07f32fff7a32a,Three-dimensional face recognition: an eigensurface approach,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +197f945b66995e4d006497808586f828f8a88a86,Part Discovery from Partial Correspondence,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 19242af1c54b2c876b3a930f2406b9553f294fba,Learning Subjective Adjectives from Images by Stacked Convolutional Auto-Encoders,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, 19e62a56b6772bbd37dfc6b8f948e260dbb474f5,Cross-Domain Metric Learning Based on Information Theory,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 19e62a56b6772bbd37dfc6b8f948e260dbb474f5,Cross-Domain Metric Learning Based on Information Theory,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, @@ -8261,15 +10111,23 @@ becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition v 199c2df5f2847f685796c2523221c6436f022464,Self quotient image for face recognition,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu, 19dd12ccc9c6997c9cecdaf12f937812066827aa,Knowledge Transfer for Scene-specific Motion Prediction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 19fed85436eff43e60b9476e3d8742dfedba6384,A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +19fed85436eff43e60b9476e3d8742dfedba6384,A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +19fed85436eff43e60b9476e3d8742dfedba6384,A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +19fed85436eff43e60b9476e3d8742dfedba6384,A Novel Multiple Kernel Sparse Representation based Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +192723085945c1d44bdd47e516c716169c06b7c0,Vision and Attention Theory Based Sampling for Continuous Facial Emotion Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 19150b001031cc6d964e83cd28553004f653cc24,Visual Relationship Detection with Language Priors,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 197c406b95340dfcdef542db532e0f7a967b9cda,Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1922ad4978ab92ce0d23acc4c7441a8812f157e5,Face alignment by coarse-to-fine shape searching,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1922ad4978ab92ce0d23acc4c7441a8812f157e5,Face alignment by coarse-to-fine shape searching,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 19be4580df2e76b70a39af6e749bf189e1ca3975,Adversarial Binary Coding for Efficient Person Re-identification,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 19da9f3532c2e525bf92668198b8afec14f9efea,Challenge : Face verification across age progression using real-world data,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, +19bc52323383732c3c7d73e11726f6232515d2f9,KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +191753aa338f24bb41f7bacb4326e0c0a1b90459,"Visual People Detection – Different Models , Comparison and Discussion",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 19868a469dc25ee0db00947e06c804b88ea94fd0,SP-SVM: Large Margin Classifier for Data on Multiple Manifolds,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +19868a469dc25ee0db00947e06c804b88ea94fd0,SP-SVM: Large Margin Classifier for Data on Multiple Manifolds,China,China,China,35.86166000,104.19539700,edu, 19868a469dc25ee0db00947e06c804b88ea94fd0,SP-SVM: Large Margin Classifier for Data on Multiple Manifolds,Santa Clara University,Santa Clara University,"Cowell Center, Accolti Way, Santa Clara, Santa Clara County, California, 95053, USA",37.34820285,-121.93563541,edu, 19868a469dc25ee0db00947e06c804b88ea94fd0,SP-SVM: Large Margin Classifier for Data on Multiple Manifolds,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +19441b8be551e8134dd9eb33238309bc2de0a42f,Playing for Benchmarks,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 19e7bdf8310f9038e1a9cf412b8dd2c77ff64c54,Facial Action Coding Using Multiple Visual Cues and a Hierarchy of Particle Filters,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 19c0069f075b5b2d8ac48ad28a7409179bd08b86,Modifying the Memorability of Face Photographs,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 19bfe748ec8957ec82a7fef0f2585bb14ab8bdd4,Cross-connected Networks for Multi-task Learning of Detection and Segmentation,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, @@ -8277,13 +10135,14 @@ becd5fd62f6301226b8e150e1a5ec3180f748ff8,Robust and Practical Face Recognition v 19a3e5495b420c1f5da283bf39708a6e833a6cc5,Attributes and categories for generic instance search from one example,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 19533bdfa47c2b770b3301cc921e5d5e7dc505ec,Face Authentication Using Adapted Local Binary Pattern Histograms,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 1921795408345751791b44b379f51b7dd54ebfa2,From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, -1921795408345751791b44b379f51b7dd54ebfa2,From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +1921795408345751791b44b379f51b7dd54ebfa2,From Face Recognition to Models of Identity: A Bayesian Approach to Learning About Unknown Identities from Unsupervised Data,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 19bcd3bd41825a67f48db701a68030c5e6763152,Partial Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 19bcd3bd41825a67f48db701a68030c5e6763152,Partial Person Re-Identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 19bcd3bd41825a67f48db701a68030c5e6763152,Partial Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 19878141fbb3117d411599b1a74a44fc3daf296d,Eye-State Action Unit Detection by Gabor Wavelets,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 19878141fbb3117d411599b1a74a44fc3daf296d,Eye-State Action Unit Detection by Gabor Wavelets,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, e132b98d91d0f07a95e3d3165ebb10c8d1d7fe49,Interactive Multimodal Learning on 100 Million Images,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +e1e60501677ae67c6a682bac2c17e4fc904ee380,Performance Analysis of Local Binary Pattern Variants in Texture Classification,India,India,India,20.59368400,78.96288000,edu, e1ab3b9dee2da20078464f4ad8deb523b5b1792e,Pre-Training CNNs Using Convolutional Autoencoders,TU Berlin,TU Berlin,"Franklinstraße 28-29, 10587 Berlin, Germany",52.51806410,13.32504250,edu,"Franklinstr. 28/29, 10587, Germany" e1ab3b9dee2da20078464f4ad8deb523b5b1792e,Pre-Training CNNs Using Convolutional Autoencoders,TU Berlin,TU Berlin,"Franklinstraße 28-29, 10587 Berlin, Germany",52.51806410,13.32504250,edu,"Franklinstr. 28/29, 10587, Germany" e1ab3b9dee2da20078464f4ad8deb523b5b1792e,Pre-Training CNNs Using Convolutional Autoencoders,TU Berlin,TU Berlin,"Franklinstraße 28-29, 10587 Berlin, Germany",52.51806410,13.32504250,edu,"Franklinstr. 28/29, 10587, Germany" @@ -8297,11 +10156,13 @@ e11247abf2c359428d414a97ea21e0744e2ef9ac,Face Recognition from Sequential Sparse e104e213faa97d9a9c8b8e1f15b7431c601cb250,Modeling of facial aging and kinship: A survey,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, e104e213faa97d9a9c8b8e1f15b7431c601cb250,Modeling of facial aging and kinship: A survey,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu, e1e85d811825ec56205fc0302ed2c86cbb85e10d,Training Group Orthogonal Neural Networks with Privileged Information,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +e1140b86c64549cbcd138f868c82ee8aad77d103,Occlusion Handling using Semantic Segmentation and Visibility-Based Rendering for Mixed Reality,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, e1e6a4146c082e5465cde38e9511de3d150b4ede,Targeting static and dynamic workloads with a reconfigurable VLIW processor,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +e1f815c50a6c0c6d790c60a1348393264f829e60,PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu, e1f041594fa37d407c80b28a13680a9ddc081c49,Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, e1f041594fa37d407c80b28a13680a9ddc081c49,Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, e1256ff535bf4c024dd62faeb2418d48674ddfa2,Towards Open-Set Identity Preserving Face Synthesis,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, -e1256ff535bf4c024dd62faeb2418d48674ddfa2,Towards Open-Set Identity Preserving Face Synthesis,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +e1256ff535bf4c024dd62faeb2418d48674ddfa2,Towards Open-Set Identity Preserving Face Synthesis,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, e1fac9e9427499d3758213daf1c781b9a42a3420,Face Image Retrieval Based on Probe Sketch Using SIFT Feature Descriptors,"National Institute of Technology, Karnataka",National Institute of Technology Karnataka,"National Institute of Technology, Karnataka, NH66, ದಕ್ಷಿಣ ಕನ್ನಡ, Mangaluru taluk, Dakshina Kannada, Karnataka, 575025, India",13.01119095,74.79498825,edu, e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04,Person Re-identification by Mid-level Attribute and Part-based Identity Learning,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, e10ca043fae02972f19292efacddd8e0f216b70c,Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, @@ -8309,15 +10170,19 @@ e19a4dadf60848309c8fd7445d97918da654df76,JPEG Compressed Domain Face Recognition e1ec6a3ad254558aa529fe23eb815c8949291f90,Color Constancy Algorithms for Object and Face Recognition,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, e1e490b5d0a179b8eea022b64e83bbd611114d4e,Gradient-based learning of higher-order image features,University of Frankfurt,University of Frankfurt,"Frankfurt University of Applied Sciences, Kleiststraße, Nordend West, Frankfurt, Regierungsbezirk Darmstadt, Hessen, 60318, Deutschland",50.13053055,8.69234224,edu, e1f6e2651b7294951b5eab5d2322336af1f676dc,Emotional Avatars : Appearance Augmentation and Animation based on Facial Expression Analysis,Sejong University,"Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul, South Korea","209 Neungdong-ro, Gunja-dong, Gwangjin-gu, Seoul, South Korea",37.55025960,127.07313900,edu, +e1725b71f3f127d6a49d24f14bee05aada1e2f96,Part-Based Deep Hashing for Large-Scale Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, e1d1ed79174cd8442409bcb3f296101852ddcb95,Theory and Practice of Globally Optimal Deformation Estimation,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, e1d1ed79174cd8442409bcb3f296101852ddcb95,Theory and Practice of Globally Optimal Deformation Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, e1d1ed79174cd8442409bcb3f296101852ddcb95,Theory and Practice of Globally Optimal Deformation Estimation,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, -e1d1ed79174cd8442409bcb3f296101852ddcb95,Theory and Practice of Globally Optimal Deformation Estimation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +e1d1ed79174cd8442409bcb3f296101852ddcb95,Theory and Practice of Globally Optimal Deformation Estimation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, e121bf6f18e1cb114216a521df63c55030d10fbe,Robust Facial Component Detection for Face Alignment Applications,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, e179dee700ff26df6da3cf0cb5e0358b2080acd8,Opening the black box of deep learning,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, e1630014a5ae3d2fb7ff6618f1470a567f4d90f5,"Look, Listen and Learn - A Multimodal LSTM for Speaker Identification",SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" e1630014a5ae3d2fb7ff6618f1470a567f4d90f5,"Look, Listen and Learn - A Multimodal LSTM for Speaker Identification",University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, e1c59e00458b4dee3f0e683ed265735f33187f77,Spectral rotation versus K-means in spectral clustering,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, +e1660c10ae661cf951602232b36047b19198f599,Web Image Search Using Attribute Assisted Re-Ranking Model,India,India,India,20.59368400,78.96288000,edu, +e1f790bbedcba3134277f545e56946bc6ffce48d,Image Retrieval Using Attribute Enhanced Sparse Code Words,India,India,India,20.59368400,78.96288000,edu, +e1f790bbedcba3134277f545e56946bc6ffce48d,Image Retrieval Using Attribute Enhanced Sparse Code Words,India,India,India,20.59368400,78.96288000,edu, e103fa24d7fa297cd206b22b3bf670bfda6c65c4,Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, e103fa24d7fa297cd206b22b3bf670bfda6c65c4,Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, e188aa199d4307fdbbf60e9e6612bcb001e1cab6,Say Cheese: Personal Photography Layout Recommendation Using 3D Aesthetics Estimation,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, @@ -8338,14 +10203,18 @@ b97a155bdd86491c8d32f02d6dfe5b73aaef4549,Eliminating the mere exposure effect th b9e6f9e22134d4b5ac66fbf2ec7b7b702c6f4eb7,MASON: A Model AgnoStic ObjectNess Framework,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, b9df25cc4be2f703b059da93823bad6e8e8c0659,Local Gabor Binary Pattern Whitened PCA: A Novel Approach for Face Recognition from Single Image Per Person,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, b986a535e45751cef684a30631a74476e911a749,Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, +b9262301b11a4d41c8346626a86b603cd2e63992,A Survey of Major Techniques of Clothing in Vision ⋆,China,China,China,35.86166000,104.19539700,edu, b9262301b11a4d41c8346626a86b603cd2e63992,A Survey of Major Techniques of Clothing in Vision ⋆,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +b9262301b11a4d41c8346626a86b603cd2e63992,A Survey of Major Techniques of Clothing in Vision ⋆,China,China,China,35.86166000,104.19539700,edu, b94ec9abc3009cfcd1e45647926b4e5084d95136,Classifying Unseen Instances by Learning Class-Independent Similarity Functions,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, b9566216ec1e5dcd02e3a222987f1934e44c773e,Neuron-level Selective Context Aggregation for Scene Segmentation,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, b9566216ec1e5dcd02e3a222987f1934e44c773e,Neuron-level Selective Context Aggregation for Scene Segmentation,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, b9566216ec1e5dcd02e3a222987f1934e44c773e,Neuron-level Selective Context Aggregation for Scene Segmentation,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, b9566216ec1e5dcd02e3a222987f1934e44c773e,Neuron-level Selective Context Aggregation for Scene Segmentation,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, b9081856963ceb78dcb44ac410c6fca0533676a3,UntrimmedNets for Weakly Supervised Action Recognition and Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +b9b7b37d7edf4482a6f440e282c3418ab1913afa,ThiNet: Pruning CNN Filters for a Thinner Net.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b9b5a760de57a48eeab1259f29c6411fb66b0c85,Shape Classification Based on Skeleton Path Similarity,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, +b9b5a760de57a48eeab1259f29c6411fb66b0c85,Shape Classification Based on Skeleton Path Similarity,China,China,China,35.86166000,104.19539700,edu, b9e301360db78c261753aba6974c12ed2e6f9b53,Transfer Learning by Borrowing Examples for Multiclass Object Detection,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, b907537c602b95948da809f7d4aff4bc959d8ba1,Superhuman Accuracy on the SNEMI3D Connectomics Challenge,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, b907537c602b95948da809f7d4aff4bc959d8ba1,Superhuman Accuracy on the SNEMI3D Connectomics Challenge,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, @@ -8356,7 +10225,9 @@ b9611a4719e32c51187be9dc20a8cd505819067c,FACE VERIFICATION BASED ON MORPHOLOGICA b984c9815fd556cc845adae1f9a206d2a0fa2d33,Hierarchical Relational Networks for Group Activity Recognition and Retrieval,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, b9bed097cb806ba48cd0245ab50d1a123022eafc,exposure phase : images of individuals with one linguistic attribute query phase : select instructed and evaluated barkeeper instruct evaluate instruct amuseinstruct evaluate correct answer,Universitat Pompeu Fabra,Universitat Pompeu Fabra,"Dipòsit de les Aigües, Carrer de Wellington, la Vila Olímpica del Poblenou, Ciutat Vella, Barcelona, BCN, CAT, 08071, España",41.39044285,2.18891949,edu, b9bed097cb806ba48cd0245ab50d1a123022eafc,exposure phase : images of individuals with one linguistic attribute query phase : select instructed and evaluated barkeeper instruct evaluate instruct amuseinstruct evaluate correct answer,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +b9504e4a2f40f459b5e83143e77f4972c7888445,Experimental Analysis of Face Recognition on Still and CCTV Images,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, b9504e4a2f40f459b5e83143e77f4972c7888445,Experimental Analysis of Face Recognition on Still and CCTV Images,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +b9305c065b3c95fd0844d16a09fb9cc7c321cf58,Detecting Humans in Dense Crowds Using Locally-Consistent Scale Prior and Global Occlusion Reasoning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumination,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 408814b17337ec901f5960069f5c447a36a42524,A multi-scale fully convolutional network for semantic labeling of 3 D point clouds,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 408814b17337ec901f5960069f5c447a36a42524,A multi-scale fully convolutional network for semantic labeling of 3 D point clouds,Oak Ridge National Laboratory,Oak Ridge National Laboratory,"Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA",35.93006535,-84.31240032,edu, @@ -8371,6 +10242,7 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina 405ffae3b7a7702e77418de5dce0337b0596acc4,Improving Facial Action Unit Recognition Using Convolutional Neural Networks,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, 4091b6a3ab33e2aa923ee23c8db7e33d167ff67a,Transductive Multi-class and Multi-label Zero-shot Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 40559bd43d5480000e34e4fef3e8fe3782d1a688,Active query-driven visual search using probabilistic bisection and convolutional neural networks,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, +40bd5d4b01c89e84fe2b0f6b1cc22657bf4e8d80,Toward Unconstrained Fingerprint Recognition: A Fully Touchless 3-D System Based on Two Views on the Move,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 407bb798ab153bf6156ba2956f8cf93256b6910a,Fisher Pruning of Deep Nets for Facial Trait Classification,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 40bb090a4e303f11168dce33ed992f51afe02ff7,Marginal Loss for Deep Face Recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 40bb090a4e303f11168dce33ed992f51afe02ff7,Marginal Loss for Deep Face Recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, @@ -8379,10 +10251,17 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina 40e30ba448a079152ccd13f9ba670aa272df66b3,"Cross-pose Facial Expression Recognition Council of Turkey (t ¨ Ub ˙ Itak) for Supporting Me with National Scholarship Pro- Gramme for M.sc. Students. I Would like to Thank My Friends Duygu Sinem Yıldırım, N. C ¸ A˘ Grı Kılıboz, Belma",Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, 403ecc19291f21db6084db5c12f428e2af91ed3d,Semi-Supervised Classification Based on Mixture Graph,Southwest University,Southwest University,"西南大学, 天生路, 北碚区 (Beibei), 北碚区, 北碚区 (Beibei), 重庆市, 400711, 中国",29.82366295,106.42050016,edu, 403ecc19291f21db6084db5c12f428e2af91ed3d,Semi-Supervised Classification Based on Mixture Graph,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, +40536b0cc73fda29a335c6ecf9ce891dcb6d04cd,Face Detection Algorithms : A Comparative Study,India,India,India,20.59368400,78.96288000,edu, +40536b0cc73fda29a335c6ecf9ce891dcb6d04cd,Face Detection Algorithms : A Comparative Study,India,India,India,20.59368400,78.96288000,edu, +40536b0cc73fda29a335c6ecf9ce891dcb6d04cd,Face Detection Algorithms : A Comparative Study,India,India,India,20.59368400,78.96288000,edu, +405a70c184e00eefcf797a0e842578ea0b51f6cd,Learning a Family of Detectors via Multiplicative Kernels,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 403d6a09c17268fb4bb0ae953107bf5f78ca9d05,Staining Pattern Classification of Antinuclear Autoantibodies Based on Block Segmentation in Indirect Immunofluorescence Images,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +403d6a09c17268fb4bb0ae953107bf5f78ca9d05,Staining Pattern Classification of Antinuclear Autoantibodies Based on Block Segmentation in Indirect Immunofluorescence Images,China,China,China,35.86166000,104.19539700,edu, 404042a1dcfde338cf24bc2742c57c0fb1f48359,A Survey on Facial Features Localization,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 407de9da58871cae7a6ded2f3a6162b9dc371f38,TraMNet - Transition Matrix Network for Efficient Action Tube Proposals,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, 40a5b32e261dc5ccc1b5df5d5338b7d3fe10370d,Feedback-Controlled Sequential Lasso Screening,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, +40f127fa4459a69a9a21884ee93d286e99b54c5f,Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +40f127fa4459a69a9a21884ee93d286e99b54c5f,Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 401ed15f525b09c21a1316eaf16cdde6df12ba96,Feature Selective Networks for Object Detection,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 40ee38d7ff2871761663d8634c3a4970ed1dc058,Three-Dimensional Face Recognition: A Fishersurface Approach,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 406431d2286a50205a71f04e0b311ba858fc7b6c,3D facial expression classification using a statistical model of surface normals and a modular approach,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu, @@ -8393,31 +10272,42 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina 403530d1c418de29cbc595775ec45e16183950e5,Pioneer Networks: Progressively Growing Generative Autoencoder,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, 40a74eea514b389b480d6fe8b359cb6ad31b644a,Discrete Deep Feature Extraction: A Theory and New Architectures,University of Vienna,University of Vienna,"Uni Wien, 1, Universitätsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, Österreich",48.21313020,16.36068653,edu, 402324c77b7b4040810480d6947c7db92d491308,Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +40a0e080a01094cdb2174e9154540c217d3f9440,IMPROVED SECURITY ASPECTS ON MICROSOFTS TWO-LAYER CAPTCHA,India,India,India,20.59368400,78.96288000,edu, +40a0e080a01094cdb2174e9154540c217d3f9440,IMPROVED SECURITY ASPECTS ON MICROSOFTS TWO-LAYER CAPTCHA,India,India,India,20.59368400,78.96288000,edu, +40a0e080a01094cdb2174e9154540c217d3f9440,IMPROVED SECURITY ASPECTS ON MICROSOFTS TWO-LAYER CAPTCHA,India,India,India,20.59368400,78.96288000,edu, +40a0e080a01094cdb2174e9154540c217d3f9440,IMPROVED SECURITY ASPECTS ON MICROSOFTS TWO-LAYER CAPTCHA,India,India,India,20.59368400,78.96288000,edu, 40dd736c803720890d6bfc1e083f6050e35d8f7a,Large-Scale Mapping of Human Activity using Geo-Tagged Videos,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 40dd736c803720890d6bfc1e083f6050e35d8f7a,Large-Scale Mapping of Human Activity using Geo-Tagged Videos,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 40dd736c803720890d6bfc1e083f6050e35d8f7a,Large-Scale Mapping of Human Activity using Geo-Tagged Videos,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 403a108dec92363fd1f465340bd54dbfe65af870,Local Higher-Order Statistics (LHS) describing images with statistics of local non-binarized pixel patterns,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 4066f186ff58d300090c652925ed0aed3355efec,Solving Visual Madlibs with Multiple Cues,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +40f5ae73e598114edab3ddaefc38fbdbf5c114b9,Optical Flow Based Face Recognition under Expression,India,India,India,20.59368400,78.96288000,edu, +40f5ae73e598114edab3ddaefc38fbdbf5c114b9,Optical Flow Based Face Recognition under Expression,India,India,India,20.59368400,78.96288000,edu, 40fa315150ddcaa1e0996046d140b8882f375f7d,Generative Image Inpainting with Contextual Attention,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 404ac62d19a2677ad0266041882244d943e7033e,Application of a Hybrid Model Based on a Convolutional Auto-Encoder and Convolutional Neural Network in Object-Oriented Remote Sensing Classification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 40bb3ef2b4e556a3646a8cd77364a89b8773e4a4,First-Person Animal Activity Recognition from Egocentric Videos,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 40bb3ef2b4e556a3646a8cd77364a89b8773e4a4,First-Person Animal Activity Recognition from Egocentric Videos,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 40217a8c60e0a7d1735d4f631171aa6ed146e719,Part-Pair Representation for Part Localization,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +40b5d6a6a38b4f222437d49fcbf8986abbf7b060,Frontal face authentication using morphological elastic graph matching,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4078c37c39dc5c7c65a5494651ba6dd443cf9269,EMPIRICAL PERFORMANCE UPPER BOUNDS FOR IM- AGE AND VIDEO CAPTIONING,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 405526dfc79de98f5bf3c97bf4aa9a287700f15d,MegaFace: A Million Faces for Recognition at Scale,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 401a8272c60216d1ce8be58edc13b42b1bfdf912,Semi-Supervised Learning in Gigantic Image Collections,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu, 409883c2ec817b5e49a65425f04f4e27af4baccd,Robust tracking of articulated human movements through Component-Based Multiple Instance Learning with particle filtering,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, -40e7536f43c8a2623ce27e182a0e66028b58de89,Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +40e7536f43c8a2623ce27e182a0e66028b58de89,Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, +40c3b350008ada8f3f53a758e69992b6db8a8f95,Discriminative decorrelation for clustering and classification,University of California at Irvine,"Computational Vision Group, University of California at Irvine, Irvine, CA, USA","Irvine, CA 92697, USA",33.64049520,-117.84429620,edu, 40629398c85c12432979379800c267d2a8c62bf8,Timing-Based Local Descriptor for Dynamic Surfaces,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, 40757d94d6ef33555fc940d556ebfb0d32410fbb,Warmth and competence in your face! Visual encoding of stereotype content,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 40757d94d6ef33555fc940d556ebfb0d32410fbb,Warmth and competence in your face! Visual encoding of stereotype content,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 40055c342c19ab492df04dae2e186cd0d6b5dc5e,Robust representations for face recognition: The power of averages,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, +40c1aec7e0830bf9dd8a689d671024567311ae72,Interact as You Intend: Intention-Driven Human-Object Interaction Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4065d038ecbda579a0791aaf46fc62bbcba5b1f3,Real-time Factored ConvNets: Extracting the X Factor in Human Parsing,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 3c439abbda16518c3dccfc70051a2c36b7fb1501,High Quality Bidirectional Generative Adversarial Networks,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 3cd9411181cd4f12798c64f0442c199cc24a56a7,Leveraging from group classification for video concept detection,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, 3cd9b0a61bdfa1bb8a0a1bf0369515a76ecd06e3,Distance Metric Learning with Eigenvalue Optimization,University of Exeter,University of Exeter,"University of Exeter, Stocker Road, Exwick, Exeter, Devon, South West England, England, EX4 4QN, UK",50.73693020,-3.53647672,edu, 3cd9b0a61bdfa1bb8a0a1bf0369515a76ecd06e3,Distance Metric Learning with Eigenvalue Optimization,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, 3c8d892649f91b5a7778dab0db751f6ffa0e3154,Multi-level Adaptive Active Learning for Scene Classification,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, +3caf02979d7cd83d2f3894574c86babf3e201bf3,Seeing to hear? Patterns of gaze to speaking faces in children with autism spectrum disorders,Finland,Finland,Finland,61.92411000,25.74815110,edu, +3caf02979d7cd83d2f3894574c86babf3e201bf3,Seeing to hear? Patterns of gaze to speaking faces in children with autism spectrum disorders,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 3cafea5212ff4217beb293e2de8ca0f160ad623a,A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 3cafea5212ff4217beb293e2de8ca0f160ad623a,A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 3cafea5212ff4217beb293e2de8ca0f160ad623a,A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, @@ -8426,19 +10316,23 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina 3c6be0034477b07222f41f6fc558a64f0222a192,Egocentric Video Biometrics.,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, 3ca25a9e906b851df01a53f4443d66978a0243b8,Improved Super-Resolution through Residual Neighbor Embedding,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 3ca25a9e906b851df01a53f4443d66978a0243b8,Improved Super-Resolution through Residual Neighbor Embedding,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +3ca5d3b8f5f071148cb50f22955fd8c1c1992719,Evaluating race and sex diversity in the world's largest companies using deep neural networks,Russia,Russia,Russia,61.52401000,105.31875600,edu, 3ca5d3b8f5f071148cb50f22955fd8c1c1992719,Evaluating race and sex diversity in the world's largest companies using deep neural networks,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +3ca5d3b8f5f071148cb50f22955fd8c1c1992719,Evaluating race and sex diversity in the world's largest companies using deep neural networks,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, 3c9f2444b1de1bf960664d8c3109f8b8d5dee44b,3 Automatic Facial Feature Extraction for Face Recognition,Università degli Studi di Milano,Università degli Studi di Milano,"Università degli Studi di Milano, Via Camillo Golgi, Città Studi, Milano, MI, LOM, 20133, Italia",45.47567215,9.23336232,edu, 3cc46bf79fb9225cf308815c7d41c8dd5625cc29,Age interval and gender prediction using PARAFAC2 applied to speech utterances,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 3cc46bf79fb9225cf308815c7d41c8dd5625cc29,Age interval and gender prediction using PARAFAC2 applied to speech utterances,Cyprus University of Technology,Cyprus University of Technology,"Mitropoli Building - Cyprus University of Technology, Anexartisias, Limasol - Λεμεσός, Limassol - Λεμεσός, Κύπρος - Kıbrıs, 3036, Κύπρος - Kıbrıs",34.67567405,33.04577648,edu, 3c051c8721b65fca8c506de68068dc8fca6adcc5,It Takes (Only) Two: Adversarial Generator-Encoder Networks,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 3c97c32ff575989ef2869f86d89c63005fc11ba9,Face Detection with the Faster R-CNN,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 3c97c32ff575989ef2869f86d89c63005fc11ba9,Face Detection with the Faster R-CNN,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, +3c56acaa819f4e2263638b67cea1ec37a226691d,Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3c5ba48d25fbe24691ed060fa8f2099cc9eba14f,Racial Faces in-the-Wild: Reducing Racial Bias by Deep Unsupervised Domain Adaptation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 3cd8ab6bb4b038454861a36d5396f4787a21cc68,Video-Based Facial Expression Recognition Using Hough Forest,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 3c6cac7ecf546556d7c6050f7b693a99cc8a57b3,Robust facial landmark detection in the wild,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 3c6cac7ecf546556d7c6050f7b693a99cc8a57b3,Robust facial landmark detection in the wild,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 3c78b642289d6a15b0fb8a7010a1fb829beceee2,Analysis of Facial Dynamics Using a Tensor Framework,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, 3c78b642289d6a15b0fb8a7010a1fb829beceee2,Analysis of Facial Dynamics Using a Tensor Framework,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, +3c77e4ce48d1bbcdb682cdc790806e2d5f2d2e1a,Recognition of Genuine Smiles,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3c1e1961db0f0a351d5a4e21cd30bcbd9f88be57,Discovering states and transformations in image collections,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 3c8380bace3e9625ff5dcd7e425fb88effd917e4,Face Replacement Demo using the Kinect Depth Sensor,University of Canterbury,University of Canterbury,"University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa",-43.52405280,172.58030625,edu, 3cea3aba77649d718991d0cb30135887267c11e8,Adversarial Attack Type I: Generating False Positives,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, @@ -8454,6 +10348,7 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina 3c84e2ed018dd1d971b526f87e9d7c1f08e6230f,Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, 3c84e2ed018dd1d971b526f87e9d7c1f08e6230f,Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, 3cd40bfa1ff193a96bde0207e5140a399476466c,High Five: Recognising human interactions in TV shows,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +3cd40bfa1ff193a96bde0207e5140a399476466c,High Five: Recognising human interactions in TV shows,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 3c8f916264e8d15ba1bc618c6adf395e86dd7b40,Generating Descriptions with Grounded and Co-referenced People,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 3ce92cac0f3694be2f2918bf122679c6664a1e16,Deep Relative Attributes,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, 3ce92cac0f3694be2f2918bf122679c6664a1e16,Deep Relative Attributes,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, @@ -8467,35 +10362,43 @@ b9c9c7ef82f31614c4b9226e92ab45de4394c5f6,Face Recognition under Varying Illumina 3c11a1f2bd4b9ce70f699fb6ad6398171a8ad3bd,Simulating Pareidolia of Faces for Architectural Image Analysis,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, 3c11a1f2bd4b9ce70f699fb6ad6398171a8ad3bd,Simulating Pareidolia of Faces for Architectural Image Analysis,University of Newcastle,University of Newcastle,"University of Newcastle Central Coast Campus, Technology Bridge, Ourimbah, Central Coast, NSW, 2258, Australia",-33.35788990,151.37834708,edu, 3ca9453d3c023bb81cce72ff2d633fc5075e1df6,Generic vs. Person Specific Active Appearance Models,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +3ce0f48106fd872e2c2327596c2677c4680444a2,Use of Vertical Face Profiles for Text Dependent Audio-Visual Biometric Person Authentication.,India,India,India,20.59368400,78.96288000,edu, 3c563542db664321aa77a9567c1601f425500f94,TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +e644867bc141453d1f0387c76ff5e7f7863c5f4f,Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, e608ccf3ac353cf7204ccf5659983d69bd09f515,Cross-Domain Image Retrieval with Attention Modeling,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, e6eda2bfec3036cf431a45fa021070ab21bb3488,Mirror Representation for Modeling View-Specific Transform in Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, e659221538d256b2c3e0724deff749eda903fc7d,Fine-Grained Head Pose Estimation Without Keypoints,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, e61a7a02cd2b68043012231f8da1d7077e665040,Utilization-aware load balancing for the energy efficient operation of the big.LITTLE processor,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, e6e57ea0c50fff5a0429d045eccc2a46955a412f,Coarse-to-Fine Statistical Shape Model by Bayesian Inference,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +e6d4c0ac2352f108a078a4fd3f908a03b8571f2b,Racial bias in judgments of physical size and formidability: From size to threat.,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu, e6d4c0ac2352f108a078a4fd3f908a03b8571f2b,Racial bias in judgments of physical size and formidability: From size to threat.,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, e69ac130e3c7267cce5e1e3d9508ff76eb0e0eef,Addressing the illumination challenge in two-dimensional face recognition: a survey,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, e68373a535a4bf4daf3d55eabe5ecbd1d102e259,Scene Image Classification and Segmentation with Quantized Local Descriptors and Latent Aspect Modeling,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, e65da9b728493c4619beca5728f622f6e91c9dd7,Histogram of Structure Tensors : Application to Pattern Clustering,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" +e6dc1200a31defda100b2e5ddb27fb7ecbbd4acd,Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, e686e9a642880662e56558b13d3d32f051d549b3,Human face orientation detection using power spectrum based measurements,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, e6f20e7431172c68f7fce0d4595100445a06c117,Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, e64e5449d0d10cfcf63edc8a0b28fc96d09d3535,GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +e68083909381a8fbd0e4468aa06204ac00a0e6fc,Visual Identification by Signature Tracking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, e67e757a3d94b71b94e16c5a6a90d77bf61e9aab,Limited-Memory Fast Gradient Descent Method for Graph Regularized Nonnegative Matrix Factorization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, e64fa00da02cc774559db5be88bc2862afbfd432,Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, e6d9d3a2f1560e507a24b8cfe3d2f4369c79e0f6,Impact of eye detection error on face recognition performance,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, e6d9d3a2f1560e507a24b8cfe3d2f4369c79e0f6,Impact of eye detection error on face recognition performance,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, e6020915b9530fa585453f60a8934aed30558be4,Improving Neural Question Generation using Answer Separation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, e6020915b9530fa585453f60a8934aed30558be4,Improving Neural Question Generation using Answer Separation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5,Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, e6f46d75c7ba653f027fea11a3c33337aff5c336,OMEG: Oulu Multi-Pose Eye Gaze Dataset,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, e607b91f69ea2bff3194b07c5d22b4625bbe306e,Learning to See People Like People : Predicting Social Impressions of Faces,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, e6ac47a768188971d0b478182db9026221a0807d,Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, e6ac47a768188971d0b478182db9026221a0807d,Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, +e68ef9597613cd2b6cf76e81c13eb061ee468485,Latent Convolutional Models,Russia,Russia,Russia,61.52401000,105.31875600,edu, e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal Training.,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 102b968d836177f9c436141e382915a4f8549276,Affective multimodal human-computer interaction,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 102b968d836177f9c436141e382915a4f8549276,Affective multimodal human-computer interaction,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 102b968d836177f9c436141e382915a4f8549276,Affective multimodal human-computer interaction,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 102b968d836177f9c436141e382915a4f8549276,Affective multimodal human-computer interaction,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, 107c5030f2c55e0a7cf4c6159cbbd4f719b0d9fb,ViP-CNN: Visual Phrase Guided Convolutional Neural Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +107c5030f2c55e0a7cf4c6159cbbd4f719b0d9fb,ViP-CNN: Visual Phrase Guided Convolutional Neural Network,China,China,China,35.86166000,104.19539700,edu, 10ffdfdbc0aafb89d94528f359425de0c7a81986,Interacting HiddenMarkovModels for Video Understanding,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, 107231a511fa981ac8d13723d7aea52847580930,Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, 107231a511fa981ac8d13723d7aea52847580930,Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu, @@ -8509,17 +10412,22 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 1057137d8ebbbfc4e816d74edd7ab04f61a893f8,Craniofacial Aging,Virginia Commonwealth University,Virginia Commonwealth University,"Virginia Commonwealth University, The Compass, Oregon Hill, Richmond, Richmond City, Virginia, 23284, USA",37.54821500,-77.45306424,edu, 10e12d11cb98ffa5ae82343f8904cfe321ae8004,A New Simplex Sparse Learning Model to Measure Data Similarity for Clustering,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 101d4cfbd6f8a7a10bd33505e2b183183f1d8770,The 2013 SESAME Multimedia Event Detection and Recounting System,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +10464196584476a7f3d887fda42444d08f5f8ad4,Generalized Local Binary Patterns for Texture Classification,China,China,China,35.86166000,104.19539700,edu, 10464196584476a7f3d887fda42444d08f5f8ad4,Generalized Local Binary Patterns for Texture Classification,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 10cedf764fbcae9f79713f701b489c06deb47b9c,Spatiotemporal saliency for event detection and representation in the 3D wavelet domain: potential in human action recognition,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, 10ad82949b65bae59410aaab5aac88d2caa6a3d7,Detecting and Synthesizing Synchronous Joint Action in Human-Robot Teams,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +108c973b51514f54cf2a078ca243ff0cde091f4b,3D face recognition on low-cost depth sensors,Brno University of Technology,"Brno University of Technology, Brno-střed, Czech Republic","1 548 Antonínská Brno-střed Brno Česká republika, 601 90, Czechia",49.20172000,16.60331680,edu, 108c973b51514f54cf2a078ca243ff0cde091f4b,3D face recognition on low-cost depth sensors,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 10723c39f9dcfcbd45d4ed7460006dba78c6b67f,An accurate 3D human face model reconstruction scheme,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 100428708e4884300e4c1ac1f84cbb16e7644ccf,Regularized Shearlet Network for face recognition using single sample per person,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" 100428708e4884300e4c1ac1f84cbb16e7644ccf,Regularized Shearlet Network for face recognition using single sample per person,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +10d334a98c1e2a9e96c6c3713aadd42a557abb8b,Scene Text Recognition Using Part-Based Tree-Structured Character Detection,China,China,China,35.86166000,104.19539700,edu, +106732a010b1baf13c61d0994552aee8336f8c85,Expanded Parts Model for Semantic Description of Humans in Still Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 10c79df4f44b5e4c08f984f34370d292f31ef309,Multi-Modal 2D and 3D Biometrics for Face Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 10280d12d05c9cf27344c87a27b1712778f9842d,Crosstalk Cascades for Frame-Rate Pedestrian Detection,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 10b987b076fe56e08c89693cdb7207c13b870540,Anticipating Visual Representations from Unlabeled Video,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 10b987b076fe56e08c89693cdb7207c13b870540,Anticipating Visual Representations from Unlabeled Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +106b54ed74f0fffaf6408a9b847d4ac0aa0ffef9,Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1091ee239b2344a526a5617233914345389b04fe,Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 10d85459ab6a9350931fcb4709bba171cd31bbde,Two-person interaction detection using body-pose features and multiple instance learning,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 10d85459ab6a9350931fcb4709bba171cd31bbde,Two-person interaction detection using body-pose features and multiple instance learning,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, @@ -8527,6 +10435,7 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 10a98632ed618c23c58af93e17d90ef654b1845f,PERFORMANCE EVALUATION OF ILLUMINATION INVARIANT FACE RECOGNITION ALGORTHIMS,Punjabi University Patiala,Punjabi University Patiala,"Punjabi University Patiala, Rajpura Road, Patiala, Punjab, 147001, India",30.35689810,76.45512720,edu, 100da509d4fa74afc6e86a49352751d365fceee5,Multiclass recognition and part localization with humans in the loop,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 100da509d4fa74afc6e86a49352751d365fceee5,Multiclass recognition and part localization with humans in the loop,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +102a2096ba2e2947dc252445f764e7583b557680,Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks,University of Mainz,University of Mainz,"Saarstraße 21, 55122 Mainz, Germany",49.99264030,8.24155520,edu, 1096445f1185265c56edb1be3bde6ac4e8d91386,Aspects of facial biometrics for verification of personal identity,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 1096445f1185265c56edb1be3bde6ac4e8d91386,Aspects of facial biometrics for verification of personal identity,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 102e7bd7660357e1814c821c7f697f2eccececa4,Predicting Motivations of Actions by Leveraging Text,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -8535,6 +10444,8 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 10bbf5a5c6f78d5b7b340e80015cffd2e8721ab6,"Omnidirectional Video Capturing , Multiple People Tracking and Identification for Meeting Monitoring",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 106092fafb53e36077eba88f06feecd07b9e78e7,Attend and Interact: Higher-Order Object Interactions for Video Understanding,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 10156890bc53cb6be97bd144a68fde693bf13612,Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +10156890bc53cb6be97bd144a68fde693bf13612,Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace,China,China,China,35.86166000,104.19539700,edu, +10156890bc53cb6be97bd144a68fde693bf13612,Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace,China,China,China,35.86166000,104.19539700,edu, 103a7c3eba36792886ae8005f6492332e6b05bad,Facial Recognition with Encoded Local Projections,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 103a7c3eba36792886ae8005f6492332e6b05bad,Facial Recognition with Encoded Local Projections,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 10536c7423cc104fd40ace2188415ac9c1b3987a,Real-Time and Robust Visual Tracking,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, @@ -8547,6 +10458,7 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 108961c7366e36825ffed94ac9eab603e05b6bc6,Deep Visual-Semantic Alignments for Generating Image Descriptions,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 102e97d0793eeba6c065d487ab38bf66108df8ff,CNN-based Facial Affect Analysis on Mobile Devices,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 102e97d0793eeba6c065d487ab38bf66108df8ff,CNN-based Facial Affect Analysis on Mobile Devices,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +10126b467391e153d36f1a496ef5618097775ad1,An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA,India,India,India,20.59368400,78.96288000,edu, 10126b467391e153d36f1a496ef5618097775ad1,An Active Age Estimation of Facial image using Anthropometric Model and Fast ICA,Bangalore Institute of Technology,Bangalore Institute of Technology,"Bangalore Institute of Technology, Krishna Rajendra Road, Mavalli, Vishveshwara Puram, South Zone, Bengaluru, Bangalore Urban, Karnataka, 560004, India",12.95512590,77.57419850,edu, 10bab1bea94e99444a363daa0d7439cc55d60782,A Self-Representation Induced Classifier,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 10bab1bea94e99444a363daa0d7439cc55d60782,A Self-Representation Induced Classifier,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, @@ -8555,6 +10467,7 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 10f17534dba06af1ddab96c4188a9c98a020a459,People-LDA: Anchoring Topics to People using Face Recognition,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 10e78afd7ea5f70e192b08be8fe1a978ad89394b,Video Stream Retrieval of Unseen Queries using Semantic Memory,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 10d003ba5062c048f0e324c897f849b0c9bc2aab,What to Transfer? High-Level Semantics in Transfer Metric Learning for Action Similarity,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +101c5b39f4fc4dda1f39bf0c00e196f0a4720af2,Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 10f3ead41bf8de97aee9c25b345b8b7495a99aab,Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 10f3ead41bf8de97aee9c25b345b8b7495a99aab,Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video,Ryerson University,Ryerson University,"Ryerson University, Gould Street, Downtown Yonge, Old Toronto, Toronto, Ontario, M5B 2G9, Canada",43.65815275,-79.37908010,edu, 10b1794dae6128480e5c56ee83f0113930c101cf,Learning Instance-Aware Object Detection Using Determinantal Point Processes,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, @@ -8563,6 +10476,7 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 10f13579084670291019c6e8ef55f5cd35c926b6,Closed-Form Approximate CRF Training for Scalable Image Segmentation,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 10f13579084670291019c6e8ef55f5cd35c926b6,Closed-Form Approximate CRF Training for Scalable Image Segmentation,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 10d255fb0bb651b6e9cc69855a970c44f121f2c9,Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +108b2581e07c6b7ca235717c749d45a1fa15bb24,Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1037664753b281543ce300fed0852a64d24334ba,"Automatic Tracking, Super-resolution and Recognition of Faces from Surveillance Video Binary-feature Based Recognition and Cryptographic Key Generation from Face Biometrics Face Recognition Robust to Large Pose Angle from One Gallery Image the Psychology of Facial Identification Systems: the Importa",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 1037664753b281543ce300fed0852a64d24334ba,"Automatic Tracking, Super-resolution and Recognition of Faces from Surveillance Video Binary-feature Based Recognition and Cryptographic Key Generation from Face Biometrics Face Recognition Robust to Large Pose Angle from One Gallery Image the Psychology of Facial Identification Systems: the Importa",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 1037664753b281543ce300fed0852a64d24334ba,"Automatic Tracking, Super-resolution and Recognition of Faces from Surveillance Video Binary-feature Based Recognition and Cryptographic Key Generation from Face Biometrics Face Recognition Robust to Large Pose Angle from One Gallery Image the Psychology of Facial Identification Systems: the Importa",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, @@ -8579,32 +10493,51 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 10b36c003542545f1e2d73e8897e022c0c260c32,Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, 108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, +108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, 108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,Chongqing University of Posts and Telecommunications,Chongqing University of Posts and Telecommunications,"重庆邮电大学, 崇文路, 渝中区, 黄桷垭, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400065, 中国",29.53570460,106.60482474,edu, +108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +108d44bee37d4190883a268274ff78a8fd20de54,Competitive Sparse Representation Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 10c49dc22d5c7d885cba238634390013aeda6e0e,Machine-based Multimodal Pain Assessment Tool for Infants: A Review,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, 10ca2e03ff995023a701e6d8d128455c6e8db030,Modeling Stylized Character Expressions via Deep Learning,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +10e7dd3bbbfbc25661213155e0de1a9f043461a2,Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +10e7dd3bbbfbc25661213155e0de1a9f043461a2,Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 10a36dea0167511b66deca65fdca978aa9afdb11,Simple Baseline for Visual Question Answering,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 103c8eaca2a2176babab2cc6e9b25d48870d6928,Panning for gold: finding relevant semantic content for grounded language learning,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 101d1cff1aa5590a1f79bc485cbfec094a995f74,Persuasive Faces: Generating Faces in Advertisements (Supplementary Material),University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, +107010b7f2abe3c0c9df62bcef35eb77f6fc76df,Domain-adversarial training of neural networks,Russia,Russia,Russia,61.52401000,105.31875600,edu, +107010b7f2abe3c0c9df62bcef35eb77f6fc76df,Domain-adversarial training of neural networks,Russia,Russia,Russia,61.52401000,105.31875600,edu, 4cc0bcc342647693c21a0ca2cd1e4064faf2fb47,"THE SMILING BEHAVIOR OF INFANTS AT HIGH- AND LOW-RISK FOR AUTISM, THEIR MOTHERS, AND AN UNFAMILIAR ADULT: THE EFFECTS OF INTERACTION TASK, INFANT RISK-STATUS, AND INFANT AGE by",University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 4c523db33c56759255b2c58c024eb6112542014e,Patch-based within-object classification,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 4c523db33c56759255b2c58c024eb6112542014e,Patch-based within-object classification,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +4cf17bca0e19070fbe9bb25644787f65fa6ebe1a,Human Pose Estimation.,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 4ce1946a28cf7c9cebf29210da326c336a0e92ca,Efficient Detection for Spatially Local Coding,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 4cdae53cebaeeebc3d07cf6cd36fecb2946f3e56,Photorealistic Facial Texture Inference Using Deep Neural Networks,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 4c293a98e929edaff6ed70c22a844c04e604e9fc,Clustering by fast search and merge of local density peaks for gene expression microarray data,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu, 4c293a98e929edaff6ed70c22a844c04e604e9fc,Clustering by fast search and merge of local density peaks for gene expression microarray data,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 4c6233765b5f83333f6c675d3389bbbf503805e3,Real-time high performance deformable model for face detection in the wild,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4c4236b62302957052f1bbfbd34dbf71ac1650ec,Semi-supervised face recognition with LDA self-training,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, +4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,Romania,Romania,Romania,45.94316100,24.96676000,edu, +4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,Romania,Romania,Romania,45.94316100,24.96676000,edu, +4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,Romania,Romania,Romania,45.94316100,24.96676000,edu, +4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,Romania,Romania,Romania,45.94316100,24.96676000,edu, 4c8e5fc0877d066516bb63e6c31eb1b8b5f967eb,Confidence and Diversity for Active Selection of Feedback in Image Retrieval,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 4c6decd726d04b916d9a2cdd468c64a8a0fc2fdb,Deep Learning for Semantic Part Segmentation with High-Level Guidance,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 4c81212a1ecca6b160631fea7f2a6cbff6f74012,Comixify: Transform video into a comics,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu, 4c5566d4cb47f4db45d46c6aaf324d6057b580bc,Gender recognition from face images with trainable COSFIRE filters,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, +4cbb4801667e2bee41e849b7d226cfcd1c501139,Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 4c462a76517f70588a8406ad2a9fa290b7d77e5a,Zero-Shot Recognition via Structured Prediction,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, +4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,China,China,China,35.86166000,104.19539700,edu, +4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,China,China,China,35.86166000,104.19539700,edu, +4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,China,China,China,35.86166000,104.19539700,edu, +4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,China,China,China,35.86166000,104.19539700,edu, 4c6421fab6f7be06f4b2a8d558dceb3ccf9426da,"Fast , Deep Detection and Tracking of Birds & Nests",University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, 4c302936f43c30430b0b07debd6ed6ef260b5225,Learning Sparse Basis Vectors in Small-Sample Datasets through Regularized Non-Negative Matrix Factorization,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu, 4c302936f43c30430b0b07debd6ed6ef260b5225,Learning Sparse Basis Vectors in Small-Sample Datasets through Regularized Non-Negative Matrix Factorization,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu, 4c130b216126434c8cd857431c9c4a7a7c10aca8,Can Saliency Information Benefit Image Captioning Models?,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 4c130b216126434c8cd857431c9c4a7a7c10aca8,Can Saliency Information Benefit Image Captioning Models?,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +4cff5b5099b0227730efa9e9fd724a63dc0c0c2f,Learning Efficient Binary Codes From High-Level Feature Representations for Multilabel Image Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4cd0da974af9356027a31b8485a34a24b57b8b90,Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 4cdb6144d56098b819076a8572a664a2c2d27f72,Face Synthesis for Eyeglass-Robust Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4cdb6144d56098b819076a8572a664a2c2d27f72,Face Synthesis for Eyeglass-Robust Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, @@ -8613,19 +10546,24 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 4c11037e73046ac942ddb497e18d2f59f8524cf2,Localizing 3D cuboids in single-view images,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 4c11037e73046ac942ddb497e18d2f59f8524cf2,Localizing 3D cuboids in single-view images,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 4c989676b701495221433b4c174ee6d04051348a,Interactive Framework for Insect Tracking with Active Learning,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, +4c989676b701495221433b4c174ee6d04051348a,Interactive Framework for Insect Tracking with Active Learning,China,China,China,35.86166000,104.19539700,edu, +4c989676b701495221433b4c174ee6d04051348a,Interactive Framework for Insect Tracking with Active Learning,China,China,China,35.86166000,104.19539700,edu, 4c989676b701495221433b4c174ee6d04051348a,Interactive Framework for Insect Tracking with Active Learning,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 4c170a0dcc8de75587dae21ca508dab2f9343974,FaceTracer: A Search Engine for Large Collections of Images with Faces,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 4c87aafa779747828054cffee3125fcea332364d,View-Constrained Latent Variable Model for Multi-view Facial Expression Classification,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 4c87aafa779747828054cffee3125fcea332364d,View-Constrained Latent Variable Model for Multi-view Facial Expression Classification,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, -4cc681239c8fda3fb04ba7ac6a1b9d85b68af31d,Electronic Theses and Dissertations Title Mining Spatial and Spatio-Temporal ROIs for Action Recognition Permalink,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +4cc681239c8fda3fb04ba7ac6a1b9d85b68af31d,Electronic Theses and Dissertations Title Mining Spatial and Spatio-Temporal ROIs for Action Recognition Permalink,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7,Efficient likelihood Bayesian constrained local model,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +4cfa8755fe23a8a0b19909fa4dec54ce6c1bd2f7,Efficient likelihood Bayesian constrained local model,China,China,China,35.86166000,104.19539700,edu, 4cb8a691a15e050756640c0a35880cdd418e2b87,Class-Based Matching of Object Parts,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, +4cc675422395ed7dc7e4772280f7c57cac6fbaee,Efficient person re-identification by hybrid spatiogram and covariance descriptor,China,China,China,35.86166000,104.19539700,edu, 4cca640761c980c77a696a64ad3c1e95b82109be,Evaluating New Variants of Motion Interchange Patterns,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 4c8c89670a55e65ad9b92327d3386b5701dddabb,Automatic Eye Detection Error as a Predictor of Face Recognition Performance,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 4c33746fc5688da61059daa93978ac887f04cce8,Trainable performance upper bounds for image and video captioning,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 4c078c2919c7bdc26ca2238fa1a79e0331898b56,Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 4c56f119ebf7c71f2a83e4d79e8d88314b8e6044,An other-race effect for face recognition algorithms,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, 4c56f119ebf7c71f2a83e4d79e8d88314b8e6044,An other-race effect for face recognition algorithms,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, +4c22a9f6f3f2a6071327a1fa1f6fdc7ffd06987c,Face Recognition System with various Expression and Occlusion based on a Novel Block Matching Algorithm and PCA,India,India,India,20.59368400,78.96288000,edu, 4c5b38ac5d60ab0272145a5a4d50872c7b89fe1b,Facial expression recognition with emotion-based feature fusion,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 4c16fe03bb96328b715acfe40491a90034858800,The development of emotion-related neural circuitry in health and psychopathology.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 4cfd770ccecae1c0b4248bc800d7fd35c817bbbd,A Discriminative Feature Learning Approach for Deep Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, @@ -8634,8 +10572,14 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 4c02d6874a761182f3776a5a04142e713cd939fa,Crowd Counting using Deep Recurrent Spatial-Aware Network,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 4cb36aea73a328da8ffcdc616407bae3c908aa07,Re-ranking Person Re-identification with k-Reciprocal Encoding,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 4cb36aea73a328da8ffcdc616407bae3c908aa07,Re-ranking Person Re-identification with k-Reciprocal Encoding,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +4c41b774a6bdf43d980f640880cc49b82ae19b34,3D Facial Landmark Detection under Large Yaw and Expression Variations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +4cbf873d3d359200267a3bc33d45c442061f6989,Robust FFT-Based Scale-Invariant Image Registration with Image Gradients,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +4cbf873d3d359200267a3bc33d45c442061f6989,Robust FFT-Based Scale-Invariant Image Registration with Image Gradients,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +4cbf873d3d359200267a3bc33d45c442061f6989,Robust FFT-Based Scale-Invariant Image Registration with Image Gradients,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +4c7c1c2d6eebd227b1e768eaafa5a61e27552567,A Secure and Privacy Friendly 2D+3D Face Authentication System Robust Under Pose and Illumation Variation,"Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece","Informatics and Telematics Institute, Centre for Research and Technology Hellas, Greece","Thermi 570 01, Greece",40.56676110,22.99801470,edu, 4c7c1c2d6eebd227b1e768eaafa5a61e27552567,A Secure and Privacy Friendly 2D+3D Face Authentication System Robust Under Pose and Illumation Variation,University of Piraeus,University of Piraeus,"Πανεπιστήμιο Πειραιώς, 80, Καραολή και Δημητρίου, Απόλλωνας, Νέο Φάληρο, Πειραιάς, Δήμος Πειραιώς, Περιφερειακή Ενότητα Πειραιώς, Περιφέρεια Αττικής, Αττική, 185 34, Ελλάδα",37.94173275,23.65303262,edu, 4cf0c6d3da8e20d6f184a4eaa6865d61680982b8,Face recognition based on 3 D mesh model,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, +4cf0c6d3da8e20d6f184a4eaa6865d61680982b8,Face recognition based on 3 D mesh model,China,China,China,35.86166000,104.19539700,edu, 4c8ef4f98c6c8d340b011cfa0bb65a9377107970,Sentiment Recognition in Egocentric Photostreams,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, 4c8ef4f98c6c8d340b011cfa0bb65a9377107970,Sentiment Recognition in Egocentric Photostreams,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 4c822785c29ceaf67a0de9c699716c94fefbd37d,A Key Volume Mining Deep Framework for Action Recognition,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" @@ -8644,7 +10588,7 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 4c971c934a3c56d08af92117cc8b505e03754262,Sparse composite quantization,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 4c971c934a3c56d08af92117cc8b505e03754262,Sparse composite quantization,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 4c971c934a3c56d08af92117cc8b505e03754262,Sparse composite quantization,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, -4c971c934a3c56d08af92117cc8b505e03754262,Sparse composite quantization,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +4c971c934a3c56d08af92117cc8b505e03754262,Sparse composite quantization,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 4cefd47f3327b6d30bf99e61651b18319c4ee829,JUST at VQA-Med: A VGG-Seq2Seq Model,Jordan University of Science and Technology,Jordan University of Science and Technology,"Jordan University of Science and Technology, شارع الأردن, إربد‎, إربد, الأردن",32.49566485,35.99160717,edu, 8672c684d241a1cdec43dd187854af6a893e7b57,Left-Right Comparative Recurrent Model for Stereo Matching,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 86104c6156661bca20224c2f3b37133ccb4b1f74,Video Analysis of Mouth Movement Using Motion Templates for Computer-based Lip-Reading,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, @@ -8654,6 +10598,11 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 86c5478f21c4a9f9de71b5ffa90f2a483ba5c497,"Kernel Selection using Multiple Kernel Learning and Domain Adaptation in Reproducing Kernel Hilbert Space, for Face Recognition under Surveillance Scenario",Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 860cc25e1cee40d70d001180ff665809c6e36594,Efficient Boosted Weak Classifiers for Object Detection,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 860cc25e1cee40d70d001180ff665809c6e36594,Efficient Boosted Weak Classifiers for Object Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +861b12f405c464b3ffa2af7408bff0698c6c9bf0,An Effective Technique for Removal of Facial Dupilcation by SBFA Miss .,India,India,India,20.59368400,78.96288000,edu, +861b12f405c464b3ffa2af7408bff0698c6c9bf0,An Effective Technique for Removal of Facial Dupilcation by SBFA Miss .,India,India,India,20.59368400,78.96288000,edu, +86be567bab1293ed847979d2c56a662fcbcbc1d5,Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, +86cdc6ae46f53ac86b9e0ace2763c5fe15633055,Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion,"IBM Research - Tokyo, Japan","IBM Research - Tokyo, Japan","19-21 Nihonbashihakozakicho, Chūō, Tokyo 103-8510, Japan",35.67854170,139.78712380,edu, +86cdc6ae46f53ac86b9e0ace2763c5fe15633055,Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 86a84b3a61f67f59c5bc5545bc88296e46681ca5,Using Models of Objects with Deformable Parts for Joint Categorization and Segmentation of Objects,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 8670fea0d92c6a0e767d089083a39d5896db8534,"Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement",SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 8670fea0d92c6a0e767d089083a39d5896db8534,"Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement",Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, @@ -8669,17 +10618,21 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 86d0127e1fd04c3d8ea78401c838af621647dc95,A Novel Multi-Task Tensor Correlation Neural Network for Facial Attribute Prediction,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 86f3552b822f6af56cb5079cc31616b4035ccc4e,Towards Miss Universe automatic prediction: The evening gown competition,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 862d17895fe822f7111e737cbcdd042ba04377e8,Semi-Latent GAN: Learning to generate and modify facial images from attributes,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +862d17895fe822f7111e737cbcdd042ba04377e8,Semi-Latent GAN: Learning to generate and modify facial images from attributes,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 86a200647f89ed81db8031ccfbcb5368a32bed6c,SHOE: Sibling Hashing with Output Embeddings,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 8628edf89482aef7fba204f3f0a9e9f5b12ec477,Compositional Obverter Communication Learning From Raw Visual Input,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 867596b7c4a2e108dc5a024f85cdfd77a574f5a7,Sparse kernel logistic regression based on L 1/2 regularization,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +867596b7c4a2e108dc5a024f85cdfd77a574f5a7,Sparse kernel logistic regression based on L 1/2 regularization,China,China,China,35.86166000,104.19539700,edu, 86973c8c9adef3b6a36c31c2682f2179e3013ae1,Active Learning from Noisy Tagged Images,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 86374bb8d309ad4dbde65c21c6fda6586ae4147a,Detect-and-Track: Efficient Pose Estimation in Videos,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 86374bb8d309ad4dbde65c21c6fda6586ae4147a,Detect-and-Track: Efficient Pose Estimation in Videos,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, 86374bb8d309ad4dbde65c21c6fda6586ae4147a,Detect-and-Track: Efficient Pose Estimation in Videos,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" 86cf00b2c22200745276239d32451ff14ee65296,Boosting Associated Pairing Comparison Features for pedestrian detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +86f17e74b905c8251223caf9b4e99784264c6252,Video retrieval by mimicking poses,India,India,India,20.59368400,78.96288000,edu, 86f17e74b905c8251223caf9b4e99784264c6252,Video retrieval by mimicking poses,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 86f17e74b905c8251223caf9b4e99784264c6252,Video retrieval by mimicking poses,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 86f17e74b905c8251223caf9b4e99784264c6252,Video retrieval by mimicking poses,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +86f17e74b905c8251223caf9b4e99784264c6252,Video retrieval by mimicking poses,India,India,India,20.59368400,78.96288000,edu, 8627e6ccb42c909b5c1f94304af986472effb6f1,Understanding Convolutional Neural Networks in Terms of Category-Level Attributes,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 8680cec120c3717c2178aafdf45186fd04d49875,Automatic graphic logo detection via Fast Region-based Convolutional Networks,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu, 8656f48aa77f25462b3ad2edf2b1aa965b2b7b38,Paradigms for the Construction and Annotation of Emotional Corpora for Real-world Human-Computer-Interaction,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu, @@ -8690,20 +10643,36 @@ e64c166dc5bb33bc61462a8b5ac92edb24d905a1,Fast Face Image Synthesis with Minimal 86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd,Attentional Alignment Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd,Attentional Alignment Networks,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd,Attentional Alignment Networks,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +86b6afc667bb14ff4d69e7a5e8bb2454a6bbd2cd,Attentional Alignment Networks,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, +86f72a4391c3b90a03f8fbbd28d4846947f028d6,Principal Manifolds and Probabilistic Subspaces for Visual Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +867e709a298024a3c9777145e037e239385c0129,ANALYTICAL REPRESENTATION OF UNDERSAMPLED FACE RECOGNITION APPROACH BASED ON DICTIONARY LEARNING AND SPARSE REPRESENTATION,India,India,India,20.59368400,78.96288000,edu, +86163c4270fa1173640e7b1f526ffdb482f45f17,ContextVP: Fully Context-Aware Video Prediction,"ETH Zurich, Zurich, Switzerland","ETH Zurich, Zurich, Switzerland","Technoparkstrasse 1, 8005 Zürich, Switzerland",47.39005860,8.51632480,edu, +86e5f81bde496549e9df2b1abdef0879a3135adb,The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, +86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,China,China,China,35.86166000,104.19539700,edu, +86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,China,China,China,35.86166000,104.19539700,edu, +86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,China,China,China,35.86166000,104.19539700,edu, +86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,China,China,China,35.86166000,104.19539700,edu, 86ed5b9121c02bcf26900913f2b5ea58ba23508f,Actions ~ Transformations,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 86ed5b9121c02bcf26900913f2b5ea58ba23508f,Actions ~ Transformations,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 86c158ef6caaf247d5d14e07c5edded0147df8b7,Spatial Memory for Context Reasoning in Object Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 866aee7bc3ba13394a84ed36fb8f8ba543552d5e,Unsupervised network pretraining via encoding human design,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 866aee7bc3ba13394a84ed36fb8f8ba543552d5e,Unsupervised network pretraining via encoding human design,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, 861c650f403834163a2c27467a50713ceca37a3e,Probabilistic Elastic Part Model for Unsupervised Face Detector Adaptation,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, +da4170c862d8ae39861aa193667bfdbdf0ecb363,Multi-Task CNN Model for Attribute Prediction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +da4170c862d8ae39861aa193667bfdbdf0ecb363,Multi-Task CNN Model for Attribute Prediction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, dac2e7adbd69ae35009e143853765b36a1adb07c,Towards Large-Scale Video Object Mining,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, +da24f3e196c5345ce08dfcc835574035da197f48,A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, daa52dd09b61ee94945655f0dde216cce0ebd505,Recognizing Micro-Actions and Reactions from Paired Egocentric Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, daa52dd09b61ee94945655f0dde216cce0ebd505,Recognizing Micro-Actions and Reactions from Paired Egocentric Videos,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, daa52dd09b61ee94945655f0dde216cce0ebd505,Recognizing Micro-Actions and Reactions from Paired Egocentric Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +daa52dd09b61ee94945655f0dde216cce0ebd505,Recognizing Micro-Actions and Reactions from Paired Egocentric Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, +daa52dd09b61ee94945655f0dde216cce0ebd505,Recognizing Micro-Actions and Reactions from Paired Egocentric Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, daf05febbe8406a480306683e46eb5676843c424,Robust Subspace Segmentation with Block-Diagonal Prior,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, daf05febbe8406a480306683e46eb5676843c424,Robust Subspace Segmentation with Block-Diagonal Prior,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, daf05febbe8406a480306683e46eb5676843c424,Robust Subspace Segmentation with Block-Diagonal Prior,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +da8eb0d7666d481ba0d50a03067dbc1913131495,Physics-based face database for color research,Finland,Finland,Finland,61.92411000,25.74815110,edu, da8eb0d7666d481ba0d50a03067dbc1913131495,Physics-based face database for color research,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +da8eb0d7666d481ba0d50a03067dbc1913131495,Physics-based face database for color research,Finland,Finland,Finland,61.92411000,25.74815110,edu, dae0a4ef50b347f145ed6de8f6c7fb94d350f937,1 Managing Heterogeneous Datacenters with Tokens,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, dae0a4ef50b347f145ed6de8f6c7fb94d350f937,1 Managing Heterogeneous Datacenters with Tokens,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, dae0a4ef50b347f145ed6de8f6c7fb94d350f937,1 Managing Heterogeneous Datacenters with Tokens,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -8717,7 +10686,9 @@ daf9c461bc515736749e14da67045d8a542c24a1,Neighborhood MinMax Projections,Tsinghu daf99b3ae2f2ca19aff571d88ee47bc45ac46350,TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, da90c9ff02e76a7e686ffe13bcdedbf949c86dfa,Adaptive workload-aware task scheduling for single-ISA asymmetric multicore architectures,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, da5075fa79da6cd7b81e5d3dc24161217ef86368,ViP-CNN: A Visual Phrase Reasoning Convolutional Neural Network for Visual Relationship Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +da5075fa79da6cd7b81e5d3dc24161217ef86368,ViP-CNN: A Visual Phrase Reasoning Convolutional Neural Network for Visual Relationship Detection,China,China,China,35.86166000,104.19539700,edu, da6696345d0d4ff6328c1c5916b0ca870d4cc6cf,Robust Contrast-Invariant EigenDetection,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +da67293fe8ab15539dd045675fa2395435f239b6,View-independent coding of face identity in frontal and temporal cortices is modulated by familiarity: an event-related fMRI study,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, da67293fe8ab15539dd045675fa2395435f239b6,View-independent coding of face identity in frontal and temporal cortices is modulated by familiarity: an event-related fMRI study,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, da67293fe8ab15539dd045675fa2395435f239b6,View-independent coding of face identity in frontal and temporal cortices is modulated by familiarity: an event-related fMRI study,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, da0b41c22e0918c99ba89a04eed4f8ed58cc1d66,Subspace Clustering using Ensembles of $K$-Subspaces,Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu, @@ -8726,43 +10697,72 @@ da1049ae56eaca2e7d65946cf87b1e504d9fcb70,VisDA : A Synthetic-to-Real Benchmark f da1049ae56eaca2e7d65946cf87b1e504d9fcb70,VisDA : A Synthetic-to-Real Benchmark for Visual Domain Adaptation,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2,Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2,Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination,"National Institute of Informatics, Japan","National Institute of Informatics, Japan","2 Chome-1-2 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan",35.69248530,139.75825330,edu, +da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2,Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination,China,China,China,35.86166000,104.19539700,edu, da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2,Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, da11b7bba74c4abbfb181bd7d07c4e6480d6c3e2,Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, daba4ff9ad8015f6c9626dbdfee950fda401424f,IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +daba4ff9ad8015f6c9626dbdfee950fda401424f,IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis,China,China,China,35.86166000,104.19539700,edu, +daba4ff9ad8015f6c9626dbdfee950fda401424f,IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis,China,China,China,35.86166000,104.19539700,edu, +daba4ff9ad8015f6c9626dbdfee950fda401424f,IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis,China,China,China,35.86166000,104.19539700,edu, da437db062e751d49528914971ecdc868b557648,Improved Image Captioning via Policy Gradient optimization of SPIDEr,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, da44881db32c132eb9cdef524618e3c8ed340b47,Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, da7fc2231134fef949882bc193bc1802b318c6ff,Qualitative Pose Estimation by Discriminative Deformable Part Models,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, daf74c34f7da0695b154f645c8b78a7397a98f16,ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, daf74c34f7da0695b154f645c8b78a7397a98f16,ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, da115fc803e692d18802400940855eb6c78691e4,Deep Convolutional Neural Networks with Merge-and-Run Mappings,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, -da115fc803e692d18802400940855eb6c78691e4,Deep Convolutional Neural Networks with Merge-and-Run Mappings,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +da115fc803e692d18802400940855eb6c78691e4,Deep Convolutional Neural Networks with Merge-and-Run Mappings,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, da6b2dfb5b0b91759a69a388a4cee5eb1187ad8a,Road Detection through Supervised Classification,Drexel University,Drexel University,"Drexel University, Arch Street, Powelton Village, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.95740000,-75.19026706,edu, daf30e6709631aba291e8084fad853db325594e8,Learning Face Hallucination in the Wild,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +bf9f26780d7207c8845d7787b6003a8df161afb8,Counting People With Low-Level Features and Bayesian Regression,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, bfea962697e9b445b89a865b465ae967dd55b4fe,Efficient object detection via structured learning and local classifiers,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, bf6913250ed359fdf130d6465b90b2a0b6fae04e,Pragmatically Informative Image Captioning with Character-Level Reference,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +bfdcd4d5cc10c8c64743fc7be7e7ad6709d93b53,Evaluation of PCA and LDA techniques for Face recognition using ORL face database,India,India,India,20.59368400,78.96288000,edu, +bffe37791ee7aa277ba6d7c5ff2cb9bddddea09f,Neural correlates of emotion processing during observed self-face recognition in individuals with autism spectrum disorders,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +bffe37791ee7aa277ba6d7c5ff2cb9bddddea09f,Neural correlates of emotion processing during observed self-face recognition in individuals with autism spectrum disorders,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, bffe37791ee7aa277ba6d7c5ff2cb9bddddea09f,Neural correlates of emotion processing during observed self-face recognition in individuals with autism spectrum disorders,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, bf107f242abea2e52d82dcd834e58b774205ec84,Crowd Counting by Adapting Convolutional Neural Networks with Side Information,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, bf107f242abea2e52d82dcd834e58b774205ec84,Crowd Counting by Adapting Convolutional Neural Networks with Side Information,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, bf107f242abea2e52d82dcd834e58b774205ec84,Crowd Counting by Adapting Convolutional Neural Networks with Side Information,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +bf5940d57f97ed20c50278a81e901ae4656f0f2c,Query-Free Clothing Retrieval via Implicit Relevance Feedback,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, bf179c196b321bbcd58291e52b8259c3f4c1190c,Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, bf179c196b321bbcd58291e52b8259c3f4c1190c,Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, bf179c196b321bbcd58291e52b8259c3f4c1190c,Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, +bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, +bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, +bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, +bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,DGIST,DGIST,"South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, +bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,China,China,China,35.86166000,104.19539700,edu, +bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,China,China,China,35.86166000,104.19539700,edu, bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,China,China,China,35.86166000,104.19539700,edu, bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,China,China,China,35.86166000,104.19539700,edu, +bfd3d184c3a9f5ee59cb2d1ab92cc1a7124319fb,Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization,China,China,China,35.86166000,104.19539700,edu, +bfd8bfce7c998a7bf209b7bf2e6c2e1f03c4334e,Discriminative Face Alignment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c,"Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds",Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c,"Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds",Qatar University,Qatar University,"Qatar University, Roindabout 3, Al Tarfa (68), أم صلال, 24685, ‏قطر‎",25.37461295,51.48980354,edu, bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c,"Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds",University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, bfdc7cde3bbfcba738a5eefe9143417ebf7d8f5c,"Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds",University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +bff77a3b80f40cefe79550bf9e220fb82a74c084,Facial Expression Recognition Based on Local Binary Patterns and Local Fisher Discriminant Analysis,China,China,China,35.86166000,104.19539700,edu, +bff77a3b80f40cefe79550bf9e220fb82a74c084,Facial Expression Recognition Based on Local Binary Patterns and Local Fisher Discriminant Analysis,China,China,China,35.86166000,104.19539700,edu, bf961e4a57a8f7e9d792e6c2513ee1fb293658e9,Robust Face Image Matching under Illumination Variations,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, bf961e4a57a8f7e9d792e6c2513ee1fb293658e9,Robust Face Image Matching under Illumination Variations,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, bf961e4a57a8f7e9d792e6c2513ee1fb293658e9,Robust Face Image Matching under Illumination Variations,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, +bf961e4a57a8f7e9d792e6c2513ee1fb293658e9,Robust Face Image Matching under Illumination Variations,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +bf961e4a57a8f7e9d792e6c2513ee1fb293658e9,Robust Face Image Matching under Illumination Variations,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, bff1e1ecf00c37ec91edc7c5c85c1390726c3687,Constrained Deep Metric Learning for Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, bfe9560daea296350c9fb4a9b2b9bf9d10fc1a3e,DualNet: Domain-invariant network for visual question answering,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, bf03f0fe8f3ba5b118bdcbb935bacb62989ecb11,Effect of Facial Expressions on Feature-Based Landmark Localization in Static Grey Scale Images.,University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu, bf5c5c346e5d378731030edb53fd0c8a49781468,Bayesian Deep Generative Models for Semi-Supervised and Active Learning,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, bf3f8726f2121f58b99b9e7287f7fbbb7ab6b5f5,Visual face scanning and emotion perception analysis between autistic and typically developing children,University of Dhaka,University of Dhaka,"World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, জিগাতলা, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.73169570,90.39652750,edu, bf3f8726f2121f58b99b9e7287f7fbbb7ab6b5f5,Visual face scanning and emotion perception analysis between autistic and typically developing children,University of Dhaka,University of Dhaka,"World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, জিগাতলা, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.73169570,90.39652750,edu, +bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, +bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, +bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, +bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, +bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, +bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, bf8a520533f401347e2f55da17383a3e567ef6d8,Bounded-Distortion Metric Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, bf8a520533f401347e2f55da17383a3e567ef6d8,Bounded-Distortion Metric Learning,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, bf8a520533f401347e2f55da17383a3e567ef6d8,Bounded-Distortion Metric Learning,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -8770,12 +10770,16 @@ bf8a520533f401347e2f55da17383a3e567ef6d8,Bounded-Distortion Metric Learning,Chin bffbd04ee5c837cd919b946fecf01897b2d2d432,Facial Feature Tracking and Occlusion Recovery in American Sign Language,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, bfc04ce7752fac884cf5a78b30ededfd5a0ad109,A Hybrid Model for Identity Obfuscation by Face Replacement,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, bff567c58db554858c7f39870cff7c306523dfee,Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +bff9d100e99dd6a99ec26ca867694075b1dcac92,Passive Multimodal 2-D+3-D Face Recognition Using Gabor Features and Landmark Distances,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, bf87e84403589f33b7dd076c6e34b0c7eb39a7a7,The First 3 D Face Alignment in the Wild ( 3 DFAW ) Challenge,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, bf87e84403589f33b7dd076c6e34b0c7eb39a7a7,The First 3 D Face Alignment in the Wild ( 3 DFAW ) Challenge,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, bf87e84403589f33b7dd076c6e34b0c7eb39a7a7,The First 3 D Face Alignment in the Wild ( 3 DFAW ) Challenge,SUNY Binghamton,State University of New York at Binghamton,"State University of New York at Binghamton, East Drive, Hinman, Willow Point, Vestal Town, Broome County, New York, 13790, USA",42.08779975,-75.97066066,edu, bf63599a05692ba4c18476f696edf98bc28a4f3d,Fully Convolutional Neural Networks for Crowd Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, bf6598d7c16a5e86d6eacda31185b1b2e8411b19,Bayesian Hyperparameter Optimization of Gaze Estimation Neural Networks,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, bf6598d7c16a5e86d6eacda31185b1b2e8411b19,Bayesian Hyperparameter Optimization of Gaze Estimation Neural Networks,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +bf735bb7557e73bc6f68853cba828b55bd163726,Fusion of Zernike Moments and SIFT Features for Improved Face Recognition,India,India,India,20.59368400,78.96288000,edu, +bf735bb7557e73bc6f68853cba828b55bd163726,Fusion of Zernike Moments and SIFT Features for Improved Face Recognition,India,India,India,20.59368400,78.96288000,edu, +bf735bb7557e73bc6f68853cba828b55bd163726,Fusion of Zernike Moments and SIFT Features for Improved Face Recognition,India,India,India,20.59368400,78.96288000,edu, bf9b34433bdf14e595a1ed89a23c416990639215,Smart Stadium for Smarter Living: Enriching the Fan Experience,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, bf3d0e41e4d0a2ef6dbdd3018e3c7f728b5efceb,Non-Euclidean dissimilarity data in pattern recognition,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, bf3a09f7598afe4e3ab925636f167e55f2b70a9e,Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, @@ -8791,6 +10795,7 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De 4467a1ae8ddf0bc0e970c18a0cdd67eb83c8fd6f,Learning features from Improved Dense Trajectories using deep convolutional networks for Human Activity Recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 44ce0051d9482d96169ff5564085fe9867eb3193,Differential activation of the amygdala and the ‘social brain’ during fearful face-processing in Asperger Syndrome,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 44ce0051d9482d96169ff5564085fe9867eb3193,Differential activation of the amygdala and the ‘social brain’ during fearful face-processing in Asperger Syndrome,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +44442a26062c20dab7db4a9862349b598efca119,Modelling errors in a biometric re-identification system,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 44508e337a90223e935485d87d6fda15aaddd77a,Text detection and recognition in natural scene images,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu, 44d23df380af207f5ac5b41459c722c87283e1eb,Human Attribute Recognition by Deep Hierarchical Contexts,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 44787df6079918c6c4bf3dc871e2cad5a62c0e58,Super-resolved faces for improved face recognition from surveillance video advances in biometrics,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, @@ -8798,8 +10803,11 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De 44c9b5c55ca27a4313daf3760a3f24a440ce17ad,Revisiting hand-crafted feature for action recognition: a set of improved dense trajectories,Hiroshima University,Hiroshima University,"Hiroshima University 広島大学 東広島キャンパス, 出会いの道 Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu, 44c9b5c55ca27a4313daf3760a3f24a440ce17ad,Revisiting hand-crafted feature for action recognition: a set of improved dense trajectories,Hiroshima University,Hiroshima University,"Hiroshima University 広島大学 東広島キャンパス, 出会いの道 Deai-no-michi Str., 西条下見, 東広島市, 広島県, 中国地方, 739-0047, 日本",34.40197660,132.71231950,edu, 4469d0d0ac2f6f0221dc865b132958df33faa95e,Region-Based Interactive Ranking Optimization for Person Re-identification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +4469d0d0ac2f6f0221dc865b132958df33faa95e,Region-Based Interactive Ranking Optimization for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, +4469d0d0ac2f6f0221dc865b132958df33faa95e,Region-Based Interactive Ranking Optimization for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, 4469d0d0ac2f6f0221dc865b132958df33faa95e,Region-Based Interactive Ranking Optimization for Person Re-identification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 444d165af18f474a2d0e56e981195374c3f304bf,Scene Flow Estimation using Intelligent Cost Functions,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +44dd150b9020b2253107b4a4af3644f0a51718a3,An Analysis of the Sensitivity of Active Shape Models to Initialization When Applied to Automatic Facial Landmarking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 44aeda8493ad0d44ca1304756cc0126a2720f07b,Face Alive Icons.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 44b315edcadf527af7eb7ac2921341a03fd73970,Experience-Driven Differences in Childhood Cortisol Predict Affect-Relevant Brain Function and Coping in Adolescent Monozygotic Twins,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 44b315edcadf527af7eb7ac2921341a03fd73970,Experience-Driven Differences in Childhood Cortisol Predict Affect-Relevant Brain Function and Coping in Adolescent Monozygotic Twins,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, @@ -8819,14 +10827,20 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De 445461a34adc4bcdccac2e3c374f5921c93750f8,Emotional Expression Classification Using Time-Series Kernels,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 44054c64ae7ee16a8a8348bb57345aae95a8ddae,Social Orienting and Attention Is Influenced by the Presence of Competing Nonsocial Information in Adolescents with Autism,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, 44054c64ae7ee16a8a8348bb57345aae95a8ddae,Social Orienting and Attention Is Influenced by the Presence of Competing Nonsocial Information in Adolescents with Autism,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, +44054c64ae7ee16a8a8348bb57345aae95a8ddae,Social Orienting and Attention Is Influenced by the Presence of Competing Nonsocial Information in Adolescents with Autism,India,India,India,20.59368400,78.96288000,edu, 441bf5f7fe7d1a3939d8b200eca9b4bb619449a9,Head pose estimation in the wild using approximate view manifolds,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 441bf5f7fe7d1a3939d8b200eca9b4bb619449a9,Head pose estimation in the wild using approximate view manifolds,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 44fbbd3def64d52c956277628a89aba77b24686b,Context Modulates Congruency Effects in Selective Attention to Social Cues,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, 44fbbd3def64d52c956277628a89aba77b24686b,Context Modulates Congruency Effects in Selective Attention to Social Cues,Teesside University,Teesside University,"Teesside University, Southfield Road, Southfield, Linthorpe, Middlesbrough, North East England, England, TS1 3BZ, UK",54.57036950,-1.23509662,edu, +4421790b8f6b7d44915e030dfec6ececc0f03c2e,Pedestrian Detection in Infrared Video Images,China,China,China,35.86166000,104.19539700,edu, +4421790b8f6b7d44915e030dfec6ececc0f03c2e,Pedestrian Detection in Infrared Video Images,China,China,China,35.86166000,104.19539700,edu, 4407cde7ab8fc38ccb22f2799ab6f0ff7ab65283,Face Verification Using Error Correcting Output Codes,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 44ec89df8d9f42e323ea90599f23ae58e3a8925a,Recognizing human actions by attributes,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 440e9ac4017069a756f82b8c4a1259888317eefe,FPGA Implementation of a Real-Time Pedestrian Detection Processor Aided by E-HOG IP,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +440e9ac4017069a756f82b8c4a1259888317eefe,FPGA Implementation of a Real-Time Pedestrian Detection Processor Aided by E-HOG IP,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, +440e9ac4017069a756f82b8c4a1259888317eefe,FPGA Implementation of a Real-Time Pedestrian Detection Processor Aided by E-HOG IP,China,China,China,35.86166000,104.19539700,edu, 440e9ac4017069a756f82b8c4a1259888317eefe,FPGA Implementation of a Real-Time Pedestrian Detection Processor Aided by E-HOG IP,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +440e9ac4017069a756f82b8c4a1259888317eefe,FPGA Implementation of a Real-Time Pedestrian Detection Processor Aided by E-HOG IP,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 4459593cf12181988b8cec7e43f834f6831826cc,Mid-level Elements for Object Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 44482010dbd63fba4f7457cbdb7cf61e44c78617,Efficient activity detection with max-subgraph search,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 448c24fbe400ac164f3b97bce3cefc1577f91cca,Incremental sparse Bayesian ordinal regression,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, @@ -8834,6 +10848,8 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De 44bfa5311f0921664e9036f63cadd71049a35f35,Faster R-CNN-Based Glomerular Detection in Multistained Human Whole Slide Images,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 446fbff6a2a7c9989b0a0465f960e236d9a5e886,Context Encoders: Feature Learning by Inpainting,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 449808b7aa9ee6b13ad1a21d9f058efaa400639a,Recovering 3D facial shape via coupled 2D/3D space learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +449808b7aa9ee6b13ad1a21d9f058efaa400639a,Recovering 3D facial shape via coupled 2D/3D space learning,China,China,China,35.86166000,104.19539700,edu, +449808b7aa9ee6b13ad1a21d9f058efaa400639a,Recovering 3D facial shape via coupled 2D/3D space learning,China,China,China,35.86166000,104.19539700,edu, 449808b7aa9ee6b13ad1a21d9f058efaa400639a,Recovering 3D facial shape via coupled 2D/3D space learning,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 449b87347fe7f9c3f17e969fab1617fbfd9ccb1b,Flat vs. Expressive Storytelling: Young Children’s Learning and Retention of a Social Robot’s Narrative,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 449b87347fe7f9c3f17e969fab1617fbfd9ccb1b,Flat vs. Expressive Storytelling: Young Children’s Learning and Retention of a Social Robot’s Narrative,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, @@ -8842,9 +10858,12 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De 442cf9b24661c9ea5c2a1dcabd4a5b8af1cd89da,Beyond One-hot Encoding: lower dimensional target embedding,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 447ea71b90ce28cdf98faddec125cda53c2121bf,Facial recognition techniques applied to the automated registration of patients in the emergency treatment of head injuries,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu, 44484d2866f222bbb9b6b0870890f9eea1ffb2d0,Human Reidentification with Transferred Metric Learning,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu, 446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, 446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu, 446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +446154e26359e7f8fd2f314cca44c1e20da02ac3,DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu, 38ede8e62e82d5012b3a165e55c9bd84442967db,Deep Analysis of Facial Behavioral Dynamics,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 38ede8e62e82d5012b3a165e55c9bd84442967db,Deep Analysis of Facial Behavioral Dynamics,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 38787338ba659f0bfbeba11ec5b7748ffdbb1c3d,Evaluation of the discrimination power of features extracted from 2-D and 3-D facial images for facial expression analysis,University of Piraeus,University of Piraeus,"Πανεπιστήμιο Πειραιώς, 80, Καραολή και Δημητρίου, Απόλλωνας, Νέο Φάληρο, Πειραιάς, Δήμος Πειραιώς, Περιφερειακή Ενότητα Πειραιώς, Περιφέρεια Αττικής, Αττική, 185 34, Ελλάδα",37.94173275,23.65303262,edu, @@ -8868,6 +10887,7 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De 38525bca4b1c5f9b8108743f57fd468492713bca,A Joint Speaker-Listener-Reinforcer Model for Referring Expressions,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 38183fe28add21693729ddeaf3c8a90a2d5caea3,Scale-Aware Face Detection,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 38eb71578f82477f4b032481bd401f19f14eaf25,Efficient Resource-constrained Retrospective Analysis of Long Video Sequences,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +38b3cae6ba1b98d6bc6f88d903916dac888cb951,Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification,"ONERA - The French Aerospace Lab, Palaiseau, France","ONERA - The French Aerospace Lab, Palaiseau, France","8 Chemin de la Hunière, 91120 Palaiseau, France",48.71467230,2.23270940,edu, 3836b6c5e29a7d0ff58c73e5d5c03dc7e8603819,Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 3836b6c5e29a7d0ff58c73e5d5c03dc7e8603819,Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 3836b6c5e29a7d0ff58c73e5d5c03dc7e8603819,Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, @@ -8884,17 +10904,25 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De 384945abd53f6a6af51faf254ba8ef0f0fb3f338,Visual Recognition with Humans in the Loop,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 384945abd53f6a6af51faf254ba8ef0f0fb3f338,Visual Recognition with Humans in the Loop,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 38d0dd93755b83b2390815fda926866f7ec624ce,Action Machine: Rethinking Action Recognition in Trimmed Videos,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +3832a6d6b1f78cdadee6968d51c1c7c2922ab3cd,ISIA at the ImageCLEF 2017 Image Caption Task,China,China,China,35.86166000,104.19539700,edu, +3885cfd634c025c6e27c4db8211d72f54f864f90,Implications of holistic face processing in autism and schizophrenia,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 38f88655debf4bf32978a7b39fbd56aea6ee5752,Class Rectification Hard Mining for Imbalanced Deep Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 38f88655debf4bf32978a7b39fbd56aea6ee5752,Class Rectification Hard Mining for Imbalanced Deep Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 38b5a83f7941fea5fd82466f8ce1ce4ed7749f59,Improving multi-target tracking via social grouping,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, 381d15951b5beb2456ac016ac7f15fd27aa07d1c,"The prodrome of autism: early behavioral and biological signs, regression, peri- and post-natal development and genetics.",Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, 380d50f3ccc07fa4f41282395a78c51e33985c39,Deep Attention Neural Tensor Network for Visual Question Answering,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +380d50f3ccc07fa4f41282395a78c51e33985c39,Deep Attention Neural Tensor Network for Visual Question Answering,China,China,China,35.86166000,104.19539700,edu, 380d50f3ccc07fa4f41282395a78c51e33985c39,Deep Attention Neural Tensor Network for Visual Question Answering,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 38b55d95189c5e69cf4ab45098a48fba407609b4,Locally Aligned Feature Transforms across Views,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +38ddeb190590b5758eb03924917a5874dbbd3731,A New Multimodal Database for Performance Evaluation in System Level,"Electronics and Telecommunications Research Institute, Daejeon, Korea","Electronics and Telecommunications Research Institute, Daejeon, Korea","Electronics and Telecommunications Research Institute, Sinseong-dong, Daejeon, South Korea",36.38376500,127.36694000,edu, 3803b91e784922a2dacd6a18f61b3100629df932,Temporal Multimodal Fusion for Video Emotion Classification in the Wild,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015" 3803b91e784922a2dacd6a18f61b3100629df932,Temporal Multimodal Fusion for Video Emotion Classification in the Wild,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015" +384908bfad5b9e81d605344abcb9e99d8b0f4027,Improving Deep Models of Person Re-identification for Cross-Dataset Usage,Russia,Russia,Russia,61.52401000,105.31875600,edu, 389db56845978baef0141b876774ea06cfb13e04,Information-theoretic criteria for the design of compressive subspace classifiers,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +3859dd21b6373bb4b237ddcebf4dc8acacb587e0,Multimodal Face Recognition using Hybrid Correlation Filters,India,India,India,20.59368400,78.96288000,edu, +380862d22617064ffab1a3b42f0b11752d6bd785,Recognition from a Single Sample per Person with Multiple SOM Fusion,China,China,China,35.86166000,104.19539700,edu, 380862d22617064ffab1a3b42f0b11752d6bd785,Recognition from a Single Sample per Person with Multiple SOM Fusion,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +38f7f3c72e582e116f6f079ec9ae738894785b96,A New Technique for Face Matching after Plastic Surgery in Forensics,India,India,India,20.59368400,78.96288000,edu, 3837cd26a92e6c20b4351b3fd7e83a422e56cb89,Mobile Robots and Marching Humans: Measuring Synchronous Joint Action While in Motion,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 382c36c6bae540a78ee83c03ea78a2f0632b94c9,Multiple Instance Dictionary Learning using Functions of Multiple Instances,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, 382c36c6bae540a78ee83c03ea78a2f0632b94c9,Multiple Instance Dictionary Learning using Functions of Multiple Instances,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, @@ -8908,6 +10936,8 @@ bf47f87ccf1b2f9ad18cabf29a715114185648a0,A Component-based Framework for Face De 385e45a0b9e88929ffe8a341c886a6de41d372f3,Robust Pose Features for Action Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 3857ffcf39ec6183f0cbbe8c5f565b1ccd0dce5d,Multi-Level Factorisation Net for Person Re-Identification,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 38bbca5f94d4494494860c5fe8ca8862dcf9676e,"Probabilistic, features-based object recognition",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +38682c7b19831e5d4f58e9bce9716f9c2c29c4e7,Movie Character Identification Using Graph Matching Algorithm,India,India,India,20.59368400,78.96288000,edu, +383a58de852715c8544abe60fa64d29fb7ea5688,Inductive Hashing on Manifolds,China,China,China,35.86166000,104.19539700,edu, 38a9dfdf72d67cea75298cf29d3ea563e9ce3137,Temporal Segmentation of Egocentric Videos,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, 3813d74ddf2540c06aa48fc42468bd0d97f51708,Asynchronous Multi-task Learning,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 3813d74ddf2540c06aa48fc42468bd0d97f51708,Asynchronous Multi-task Learning,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, @@ -8930,6 +10960,8 @@ d01067340615131f9109f71590ff66f418ce8f97,Deep View-Sensitive Pedestrian Attribut d05513c754966801f26e446db174b7f2595805ba,Everything is in the Face? Represent Faces with Object Bank,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, d05513c754966801f26e446db174b7f2595805ba,Everything is in the Face? Represent Faces with Object Bank,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, d05513c754966801f26e446db174b7f2595805ba,Everything is in the Face? Represent Faces with Object Bank,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +d04631e40b237ae29cb8d2bd187b04033580e63b,Multi-cue Based Multi-target Tracking with Boosted MHT,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, +d014011b24c62d5b689c782c09b89c52970f46e7,"SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation",Shanghai Jiaotong University,Shanghai Jiaotong University,"China, Shanghai, Minhang, 东川路 邮政编码: 200240",31.02522010,121.43377840,edu, d0f54b72e3a3fe7c0e65d7d5a3b30affb275f4c5,Towards Universal Representation for Unseen Action Recognition,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, d0f54b72e3a3fe7c0e65d7d5a3b30affb275f4c5,Towards Universal Representation for Unseen Action Recognition,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu, d0a188debff9baca296787dfb207f151cb78300a,Physical Representation-based Predicate Optimization for a Visual Analytics Database,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, @@ -8939,19 +10971,26 @@ d0a188debff9baca296787dfb207f151cb78300a,Physical Representation-based Predicate d0d58e1885db56bdaa3890a1cd32c6d6a42f5f49,Person Identification Using Face and Iris Multimodal Biometric System,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, d0dcef424ab6b32d00bdc66e8d4a61ebe911fff8,Working Memory Capacity and Fluid Intelligence: Maintenance and Disengagement.,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, d095bafdecbae3a234d92ee96005b45cb5b1f55f,Finger Vein Recognition based on Personalized Discriminative Bit Map,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, -d02e27e724f9b9592901ac1f45830341d37140fe,DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials),Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -d02e27e724f9b9592901ac1f45830341d37140fe,DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials),Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +d095bafdecbae3a234d92ee96005b45cb5b1f55f,Finger Vein Recognition based on Personalized Discriminative Bit Map,China,China,China,35.86166000,104.19539700,edu, +d02e27e724f9b9592901ac1f45830341d37140fe,DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials),Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +d02e27e724f9b9592901ac1f45830341d37140fe,DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials),Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +d04d53038d4267cf25badc5d6acccd2fc910a8a7,Online Multi-Object Tracking with Structural Invariance Constraint,China,China,China,35.86166000,104.19539700,edu, +d04d53038d4267cf25badc5d6acccd2fc910a8a7,Online Multi-Object Tracking with Structural Invariance Constraint,China,China,China,35.86166000,104.19539700,edu, d0d1a18469bd41b9464b393b56d209d53869bd77,Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +d0441970a9f19751e6c047b364f580c30bf9754a,Pose-Aware Person Recognition,India,India,India,20.59368400,78.96288000,edu, d0509afe9c2c26fe021889f8efae1d85b519452a,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, d0509afe9c2c26fe021889f8efae1d85b519452a,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, d09d663055b3b6d588bf4de2f386bb144d09aea8,Deep Adaptive Temporal Pooling for Activity Recognition,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, d09d663055b3b6d588bf4de2f386bb144d09aea8,Deep Adaptive Temporal Pooling for Activity Recognition,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, +d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae,A 3-D Audio-Visual Corpus of Affective Communication,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae,A 3-D Audio-Visual Corpus of Affective Communication,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, d00e573a85f764c398ea35120ab2a0bf90fb09c0,Deep Learning Framework for Pedestrian Collision Avoidance System (PeCAS),University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, d060a7a715f2e233dd09777bf651be10fa19f3d3,Versatile Auxiliary Classifier + Generative Adversarial Network (VAC+GAN); Training Conditional Generators,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu, d060a7a715f2e233dd09777bf651be10fa19f3d3,Versatile Auxiliary Classifier + Generative Adversarial Network (VAC+GAN); Training Conditional Generators,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu, d060a7a715f2e233dd09777bf651be10fa19f3d3,Versatile Auxiliary Classifier + Generative Adversarial Network (VAC+GAN); Training Conditional Generators,National University of Ireland Galway,National University of Ireland Galway,"National University of Ireland, Galway, Earl's Island, Townparks, Nun's Island, Galway Municipal District, Cathair na Gaillimhe, County Galway, Connacht, H91 F5TE, Ireland",53.27639715,-9.05829961,edu, d04d5692461d208dd5f079b98082eda887b62323,Subspace learning with frequency regularizer: Its application to face recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, d02b32b012ffba2baeb80dca78e7857aaeececb0,Human Pose Estimation : Extension and Application,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +d02b32b012ffba2baeb80dca78e7857aaeececb0,Human Pose Estimation : Extension and Application,India,India,India,20.59368400,78.96288000,edu, d0137881f6c791997337b9cc7f1efbd61977270d,University of Dundee An automated pattern recognition system for classifying indirect immunofluorescence images for HEp-2 cells and specimens,University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu, d0e895a272d684a91c1b1b1af29747f92919d823,Classification of Mouth Action Units using Local Binary Patterns,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, d0e895a272d684a91c1b1b1af29747f92919d823,Classification of Mouth Action Units using Local Binary Patterns,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, @@ -8961,8 +11000,10 @@ d01303062b21cd9ff46d5e3ff78897b8499480de,Multi-task Learning by Maximizing Stati d01303062b21cd9ff46d5e3ff78897b8499480de,Multi-task Learning by Maximizing Statistical Dependence,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, d074b33afd95074d90360095b6ecd8bc4e5bb6a2,Human-Robot Collaboration: a Survey,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, d0e684f9614ab97a8f4ec47775124242ce493f26,Group tracking: exploring mutual relations for multiple object tracking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +d0b083befa0034bcd4a1349336fb30158157e6d8,A Semantic Distance Based Nearest Neighbor Method for Image Annotation,China,China,China,35.86166000,104.19539700,edu, d009a8801d7efb668a5eca272498f2a96517c460,Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, d009a8801d7efb668a5eca272498f2a96517c460,Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +d009a8801d7efb668a5eca272498f2a96517c460,Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks,China,China,China,35.86166000,104.19539700,edu, d009a8801d7efb668a5eca272498f2a96517c460,Robust Vehicle Detection in Aerial Images Based on Cascaded Convolutional Neural Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, d02bf4082850a667bf0b7b6205df1cf9c1899233,Quantifying the visual concreteness of words and topics in multimodal datasets,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, d02bf4082850a667bf0b7b6205df1cf9c1899233,Quantifying the visual concreteness of words and topics in multimodal datasets,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, @@ -8976,14 +11017,18 @@ d012f6d7fd45051adaff8da4ce0860de9f81d445,A Deep Multi-task Learning Approach to 5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b,Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, 5fc662287842e5cb2d23b5fa917354e957c573bf,DenseNet: Implementing Efficient ConvNet Descriptor Pyramids,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 5ffa8cfea2f5bea0ec7cecfdf76f9478ca87df89,Context-Aware Captions from Context-Agnostic Supervision,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +5f19b98e5cd22198d25660d609cbd3f4a69c94e7,Combining Head Pose and Eye Location Information for Gaze Estimation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5fea26746f3140b12317fcf3bc1680f2746e172e,Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 5fea26746f3140b12317fcf3bc1680f2746e172e,Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +5f871838710a6b408cf647aacb3b198983719c31,Locally Linear Regression for Pose-Invariant Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5f79398057bf0bbda9ff50067bc1f2950c2a2266,Progressive Neural Architecture Search,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 5f676d6eca4c72d1a3f3acf5a4081c29140650fb,To skip or not to skip? A dataset of spontaneous affective response of online advertising (SARA) for audience behavior analysis,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, 5f676d6eca4c72d1a3f3acf5a4081c29140650fb,To skip or not to skip? A dataset of spontaneous affective response of online advertising (SARA) for audience behavior analysis,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 5f39d07dd39e5d7cfba535ada3a0ab9d5d0efb5b,Perceptual dehumanization of faces is activated by norm violations and facilitates norm enforcement.,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 5f593354fec6d6ab770a3e000684b9280cef5bbc,06-07 Active Shape Models Using Local Binary Patterns,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 5f593354fec6d6ab770a3e000684b9280cef5bbc,06-07 Active Shape Models Using Local Binary Patterns,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +5f92de3683b4fee28ad3f431c889e7c8bff604f8,"Performance study of Face Recognition systems using LBP and ICA descriptors with sparse representation-MRLSR and KNN Classifiers , respectively",India,India,India,20.59368400,78.96288000,edu, +5f92de3683b4fee28ad3f431c889e7c8bff604f8,"Performance study of Face Recognition systems using LBP and ICA descriptors with sparse representation-MRLSR and KNN Classifiers , respectively",India,India,India,20.59368400,78.96288000,edu, 5fe89653d22d35cf98a6fe6e6793da82a55f5c9f,Collaborative Deep Reinforcement Learning for Multi-object Tracking,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 5f94969b9491db552ffebc5911a45def99026afe,Multimodal Learning and Reasoning for Visual Question Answering,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 5f94969b9491db552ffebc5911a45def99026afe,Multimodal Learning and Reasoning for Visual Question Answering,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, @@ -8997,12 +11042,17 @@ d012f6d7fd45051adaff8da4ce0860de9f81d445,A Deep Multi-task Learning Approach to 5f771fed91c8e4b666489ba2384d0705bcf75030,Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 5f7fd05f09dd6433cb273a1d33bdf75873509983,A Complete View Depended Volleyball Video Dataset under the Uncontrolled Conditions,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 5f7fd05f09dd6433cb273a1d33bdf75873509983,A Complete View Depended Volleyball Video Dataset under the Uncontrolled Conditions,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, +5f32ba9d85234f20203c31d2dca0793908f825a9,NEURAL NETWORK BASED SUPERVISED SELF,India,India,India,20.59368400,78.96288000,edu, +5f32ba9d85234f20203c31d2dca0793908f825a9,NEURAL NETWORK BASED SUPERVISED SELF,India,India,India,20.59368400,78.96288000,edu, 5f453a35d312debfc993d687fd0b7c36c1704b16,A Training Assistant Tool for the Automated Visual Inspection System,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 5f453a35d312debfc993d687fd0b7c36c1704b16,A Training Assistant Tool for the Automated Visual Inspection System,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 5f2a8e79d02ac5bf91109f29f999aa13be0983bb,Recognizing Disguised Faces: Human and Machine Evaluation,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, 5ff3a03d000fe14990b04bbfc634fc2eda0d6eb5,Hierarchical feed-forward network for object detection tasks,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu, 5f6d2580a8b9fd33283f87adbee3dd395184d076,Making discriminative common vectors applicable to face recognition with one training image per person,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, +5f6d2580a8b9fd33283f87adbee3dd395184d076,Making discriminative common vectors applicable to face recognition with one training image per person,China,China,China,35.86166000,104.19539700,edu, +5f6d2580a8b9fd33283f87adbee3dd395184d076,Making discriminative common vectors applicable to face recognition with one training image per person,China,China,China,35.86166000,104.19539700,edu, 5f6d2580a8b9fd33283f87adbee3dd395184d076,Making discriminative common vectors applicable to face recognition with one training image per person,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, +5f6d2580a8b9fd33283f87adbee3dd395184d076,Making discriminative common vectors applicable to face recognition with one training image per person,China,China,China,35.86166000,104.19539700,edu, 5fd6863a59e88b45f62e82bb72dff3fb52c49be1,Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 5fd6863a59e88b45f62e82bb72dff3fb52c49be1,Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 5fd6863a59e88b45f62e82bb72dff3fb52c49be1,Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, @@ -9011,9 +11061,13 @@ d012f6d7fd45051adaff8da4ce0860de9f81d445,A Deep Multi-task Learning Approach to 5f7c4c20ae2731bfb650a96b69fd065bf0bb950e,A new fuzzy membership assignment and model selection approach based on dynamic class centers for fuzzy SVM family using the firefly algorithm,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, 5f57a1a3a1e5364792b35e8f5f259f92ad561c1f,Implicit Sparse Code Hashing,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 5fba1b179ac80fee80548a0795d3f72b1b6e49cd,Virtual U: Defeating Face Liveness Detection by Building Virtual Models from Your Public Photos,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, +5fc371760fd4c8abe94b91ae2ca03d428ac05faa,Fear-Speci fi c Amygdala Function in Children and Adolescents on the Fragile X Spectrum : A Dosage Response of the FMR 1 Gene,India,India,India,20.59368400,78.96288000,edu, +5f26ab1b415e3cfa9d9f20cc93154939f3c28ebc,Classifying covert photographs,China,China,China,35.86166000,104.19539700,edu, 5f26ab1b415e3cfa9d9f20cc93154939f3c28ebc,Classifying covert photographs,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 5fb50e750f700f920f06b3982bd16ea920d11f68,Learning Temporal Transformations From Time-Lapse Videos,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 5f724a84647c5a70865509910070077962433dca,Reconstructive Memory for Abstract Selective Recall,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +5f7a5ba79ad2c4aa7762470a3c7b59001e2f0de0,Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +5f7a5ba79ad2c4aa7762470a3c7b59001e2f0de0,Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5fac62a3de11125fc363877ba347122529b5aa50,AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, 5f2989f2c323a4fb5de8720cdfbbae1887d8e6bb,A Belief Based Correlated Topic Model for Semantic Region Analysis in Far-Field Video Surveillance Systems,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 5fcbdbc0ffd5ce2c5eb3b4c18d7ad2edb00d85d1,Focus On What's Important: Self-Attention Model for Human Pose Estimation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, @@ -9026,25 +11080,36 @@ d012f6d7fd45051adaff8da4ce0860de9f81d445,A Deep Multi-task Learning Approach to 5feacd9dd73827fb438a6bf6c8b406f4f11aa2fa,Slanted Stixels: Representing San Francisco's Steepest Streets,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu, 5feacd9dd73827fb438a6bf6c8b406f4f11aa2fa,Slanted Stixels: Representing San Francisco's Steepest Streets,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 5f94e354faeba1d330088b926d1f7886067bc93f,RefineNet : MultiPath Refinement Networks with Identity Mappings for High-Resolution Semantic Segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c,Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, 5fc32e3a37d70b4af3c237328736c81987389876,Skeleton-Based Shape Classification Using Path Similarity,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +5fc32e3a37d70b4af3c237328736c81987389876,Skeleton-Based Shape Classification Using Path Similarity,China,China,China,35.86166000,104.19539700,edu, 5fc32e3a37d70b4af3c237328736c81987389876,Skeleton-Based Shape Classification Using Path Similarity,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 5fa04523ff13a82b8b6612250a39e1edb5066521,Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +5f107c92dd1c3f294b53627a5de1c7c46d996994,Complex Eye Movement Pattern Biometrics: The Effects of Environment and Stimulus,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5fdd81fd5e4caa852b6be3e6bf7891578248d662,A Distributed Weighted Voting Approach for Accurate Eye Center Estimation,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 5f68e2131d9275d56092e9fca05bcfc65abea0d8,Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 5f68e2131d9275d56092e9fca05bcfc65abea0d8,Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 5f68e2131d9275d56092e9fca05bcfc65abea0d8,Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 5f68e2131d9275d56092e9fca05bcfc65abea0d8,Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +5f0b7245bedfc984b327b8e144c3cba9d9b2a807,Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification,India,India,India,20.59368400,78.96288000,edu, +5f0b7245bedfc984b327b8e144c3cba9d9b2a807,Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification,India,India,India,20.59368400,78.96288000,edu, +5f0b7245bedfc984b327b8e144c3cba9d9b2a807,Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification,India,India,India,20.59368400,78.96288000,edu, +5fc15baee1383d502775fab8ee91d56f4875429c,Factorial Discriminant Analysis for 3 D Face Recognition System using SVM Classifier,India,India,India,20.59368400,78.96288000,edu, 5f6ab4543cc38f23d0339e3037a952df7bcf696b,Video2vec: Learning semantic spatio-temporal embeddings for video representation,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 5f6ab4543cc38f23d0339e3037a952df7bcf696b,Video2vec: Learning semantic spatio-temporal embeddings for video representation,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 5f6ab4543cc38f23d0339e3037a952df7bcf696b,Video2vec: Learning semantic spatio-temporal embeddings for video representation,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 5f0facd360d54bc0d532c90ec2ced4c54043d15b,One-Shot Learning of Scene Locations via Feature Trajectory Transfer,University of Salzburg,University of Salzburg,"Universität Salzburg - Unipark, 1, Erzabt-Klotz-Straße, Nonntal, Salzburg, 5020, Österreich",47.79475945,13.05417525,edu, 5fabe9b544fc3a80d356f0e4ebe323093cd5aa5b,Efficient color face detection algorithm under different lighting conditions,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +5fabe9b544fc3a80d356f0e4ebe323093cd5aa5b,Efficient color face detection algorithm under different lighting conditions,China,China,China,35.86166000,104.19539700,edu, 5f790739bb4e11bdf4fef85c293edc04aae903a3,Using genetic programming for multiclass classification by simultaneously solving component binary classification problems,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, +5ff64afd70434b12e043ff39a91271eab6391124,Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters,China,China,China,35.86166000,104.19539700,edu, 5ff708d399962a07f77c9bbc0d5efda52aa6915e,Pedestrian Prediction by Planning Using Deep Neural Networks,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 5f27ed82c52339124aa368507d66b71d96862cb7,"Semi-supervised Learning of Classifiers : Theory , Algorithms and Their Application to Human-Computer Interaction",University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 5f27ed82c52339124aa368507d66b71d96862cb7,"Semi-supervised Learning of Classifiers : Theory , Algorithms and Their Application to Human-Computer Interaction","University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 5feb1341a49dd7a597f4195004fe9b59f67e6707,A Deep Ranking Model for Spatio-Temporal Highlight Detection From a 360◦ Video,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 5fb23b55de1c613517f55a1b878bc68bd4b543e3,Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +5f7ae1e13c00bb58856374b9888f1ddf73c6865e,Gender classification using face image and voice,India,India,India,20.59368400,78.96288000,edu, +5f7ae1e13c00bb58856374b9888f1ddf73c6865e,Gender classification using face image and voice,India,India,India,20.59368400,78.96288000,edu, d95bdd3bd009faeeb26f2565d47bc0dc854ab3fe,Learning to Decompose and Disentangle Representations for Video Prediction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, d95bdd3bd009faeeb26f2565d47bc0dc854ab3fe,Learning to Decompose and Disentangle Representations for Video Prediction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, d95bdd3bd009faeeb26f2565d47bc0dc854ab3fe,Learning to Decompose and Disentangle Representations for Video Prediction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -9064,22 +11129,38 @@ d92c9295a050b09db921b8ef986264dc5d7eba22,On the Flip Side: Identifying Counterex d92c9295a050b09db921b8ef986264dc5d7eba22,On the Flip Side: Identifying Counterexamples in Visual Question Answering,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, d92c9295a050b09db921b8ef986264dc5d7eba22,On the Flip Side: Identifying Counterexamples in Visual Question Answering,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, d99ec70dac11292c63b7726c58c24dfacddb2889,Learning visual attribute from image and text ∗,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, -d95213a0ef820c93bf0a41e1ce24aea1dc9f137d,Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +d95213a0ef820c93bf0a41e1ce24aea1dc9f137d,Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,China,China,China,35.86166000,104.19539700,edu, d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, +d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,China,China,China,35.86166000,104.19539700,edu, d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +d93baa5ecf3e1196b34494a79df0a1933fd2b4ec,Precise Temporal Action Localization by Evolving Temporal Proposals,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, d90026a9ca2489707aff2807617f3782f78097be,"Survey on audiovisual emotion recognition : databases , features , and data fusion strategies",Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, d9bda208addf00a55df23821f6d4abdb85e73599,Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +d9bda208addf00a55df23821f6d4abdb85e73599,Pedestrian Detection and Tracking from Low-Resolution Unmanned Aerial Vehicle Thermal Imagery,China,China,China,35.86166000,104.19539700,edu, d9358de0d80f4f4d89c91b2b16fd52279b4834e4,Exploring Correlations for Multiple Facial Attributes Recognition through Graph Attention Network,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +d9358de0d80f4f4d89c91b2b16fd52279b4834e4,Exploring Correlations for Multiple Facial Attributes Recognition through Graph Attention Network,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, d91576dc1bb96636edfead160932f4a9d1a43dc4,SLAMM: Visual monocular SLAM with continuous mapping using multiple maps,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, d9bbaa38d7997f334ef8d662fd2ce380d495545a,Face Recognition System Based on Spectral Graph Wavelet Theory,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +d9bbaa38d7997f334ef8d662fd2ce380d495545a,Face Recognition System Based on Spectral Graph Wavelet Theory,India,India,India,20.59368400,78.96288000,edu, +d950af49c44bc5d9f4a5cc1634e606004790b1e5,Divide and Fuse: A Re-ranking Approach for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, d961617db4e95382ba869a7603006edc4d66ac3b,Experimenting Motion Relativity for Action Recognition with a Large Number of Classes,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +d961617db4e95382ba869a7603006edc4d66ac3b,Experimenting Motion Relativity for Action Recognition with a Large Number of Classes,China,China,China,35.86166000,104.19539700,edu, d9519d66f9844fcf306cc205593a55cf01090633,Image2song: Song Retrieval via Bridging Image Content and Lyric Words,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, d9519d66f9844fcf306cc205593a55cf01090633,Image2song: Song Retrieval via Bridging Image Content and Lyric Words,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, d9b69093a82ee7cb9ad499c76c9b0d30aa377454,"PReMVOS : Proposal-generation , Refinement and Merging for the YouTube-VOS Challenge on Video Object Segmentation 2018",RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, +d9327b9621a97244d351b5b93e057f159f24a21e,Laplacian smoothing transform for face recognition,China,China,China,35.86166000,104.19539700,edu, d9fdc9c63bb4838031eac017ba9b8e9bda3cb845,Trading-off performance and complexity in identification problem,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, +d9bfc8095bfa604d90e1cb8c878ab844c2f89464,Kinship through Imaging,India,India,India,20.59368400,78.96288000,edu, +d9bfc8095bfa604d90e1cb8c878ab844c2f89464,Kinship through Imaging,India,India,India,20.59368400,78.96288000,edu, d94969ec95d4c8cd7d0d4da3e83131b6f76cd7c4,Non-local NetVLAD Encoding for Video Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +d9df2ed64494f54c0e2529f2c05a16423a57235c,A Novel Approach for Facial Expression Analysis in real time applications using SIFT flow and SVM 1,India,India,India,20.59368400,78.96288000,edu, +d9df2ed64494f54c0e2529f2c05a16423a57235c,A Novel Approach for Facial Expression Analysis in real time applications using SIFT flow and SVM 1,India,India,India,20.59368400,78.96288000,edu, +d9df2ed64494f54c0e2529f2c05a16423a57235c,A Novel Approach for Facial Expression Analysis in real time applications using SIFT flow and SVM 1,India,India,India,20.59368400,78.96288000,edu, d934eec76a2588934094098987de72bdf1214d48,One-Shot Unsupervised Cross Domain Translation,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, d925540a8cdedb92c7f20ebfd9b8baf36fe6caa4,The utility of 3 D landmarks for arbitrary pose face recognition,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, d91d1fc3f54fafaa66df12b9db2f83b477992e37,SPIN: Seamless Operating System Integration of Peer-to-Peer DMA Between SSDs and GPUs,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, @@ -9090,6 +11171,8 @@ d9c4586269a142faee309973e2ce8cde27bda718,Contextual Visual Similarity,Carnegie M d9aca4cfe6bf49056c4bc6796414355a59cf5fb5,3D-SSD: Learning Hierarchical Features from RGB-D Images for Amodal 3D Object Detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, d9a4c399f6759a9290c8d9038ae582dcc8a24a18,Using Raspberry Pi for scientific video observation of pedestrians during a music festival,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, d94395882da6da17cee0a6ea6f1058314f091f05,Inter-BMV: Interpolation with Block Motion Vectors for Fast Semantic Segmentation on Video,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, +d9318c7259e394b3060b424eb6feca0f71219179,Face Matching and Retrieval Using Soft Biometrics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +d9ef1a80738bbdd35655c320761f95ee609b8f49,A Research-Face Recognition by Using Near Set Theory,India,India,India,20.59368400,78.96288000,edu, d9533bede70753bf1fba1e4cc7ad492b88ccf373,STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6,Generalizing a Person Retrieval Model Hetero- and Homogeneously,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6,Generalizing a Person Retrieval Model Hetero- and Homogeneously,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, @@ -9106,17 +11189,21 @@ d972b4da29aebf5da7c02e77a9118b0f60895985,Embedding Network for Visual Relation D 963d0d40de8780161b70d28d2b125b5222e75596,Convolutional Experts Constrained Local Model for Facial Landmark Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 96a9ca7a8366ae0efe6b58a515d15b44776faf6e,Grid Loss: Detecting Occluded Faces,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 96094b030013ca2d9b6d5a14b6f1fbbc57eb8a89,What is in that picture ? Visual Question Answering System,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +96fc93175169b788acd98f0a676dffab00651cbc,On Matching Faces with Alterations due to Plastic Surgery and Disguise,India,India,India,20.59368400,78.96288000,edu, 96c866f07ff999ee11459519aa361fa4fdfc2139,Consensus-based Sequence Training for Video Captioning.,"National Institute of Informatics, Japan","National Institute of Informatics, Japan","2 Chome-1-2 Hitotsubashi, Chiyoda, Tokyo 100-0003, Japan",35.69248530,139.75825330,edu, 96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d,Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 96c6f50ce8e1b9e8215b8791dabd78b2bbd5f28d,Dynamic Attention-Controlled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzy-Set Sample Weighting,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, 966b76acfa75253679b1a82ecc5a68e523f5c0c9,Preference suppression caused by misattribution of task-irrelevant subliminal motion.,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 96f0e7416994035c91f4e0dfa40fd45090debfc5,Unsupervised Learning of Face Representations,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 96b4124cf7626301ed3bb2d2b2233a490804e35e,Saliency-Based Deformable Model for Pedestrian Detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +96b4124cf7626301ed3bb2d2b2233a490804e35e,Saliency-Based Deformable Model for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu, 96b4124cf7626301ed3bb2d2b2233a490804e35e,Saliency-Based Deformable Model for Pedestrian Detection,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 96b4124cf7626301ed3bb2d2b2233a490804e35e,Saliency-Based Deformable Model for Pedestrian Detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 966e36f15b05ef8436afecf57a97b73d6dcada94,Dimensionality Reduction using Relative Attributes,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 96e0cfcd81cdeb8282e29ef9ec9962b125f379b0,The MegaFace Benchmark: 1 Million Faces for Recognition at Scale,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 96c9b289dedae6f29878d1380e4668d0679a53cf,Soft- and hard-tissue facial anthropometry in three dimensions: what's new.,Università degli Studi di Milano,Università degli Studi di Milano,"Università degli Studi di Milano, Via Camillo Golgi, Città Studi, Milano, MI, LOM, 20133, Italia",45.47567215,9.23336232,edu, +96c9b289dedae6f29878d1380e4668d0679a53cf,Soft- and hard-tissue facial anthropometry in three dimensions: what's new.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +9686dcf40e6fdc4152f38bd12b929bcd4f3bbbcc,Emotion Based Music Player,India,India,India,20.59368400,78.96288000,edu, 969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce,End-To-End Face Detection and Recognition,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 969fd48e1a668ab5d3c6a80a3d2aeab77067c6ce,End-To-End Face Detection and Recognition,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 9696ad8b164f5e10fcfe23aacf74bd6168aebb15,4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, @@ -9139,37 +11226,57 @@ d972b4da29aebf5da7c02e77a9118b0f60895985,Embedding Network for Visual Relation D 96416b1b44fb05302c6e9a8ab1b74d9204995e73,Learning Effective Binary Visual Representations with Deep Networks,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 9677d2f6a994f598c1d631038d49401c5f707ee0,"See, Hear, and Read: Deep Aligned Representations",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 9627f28ea5f4c389350572b15968386d7ce3fe49,Load Balanced GANs for Multi-view Face Image Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +9630109529870d142fde01341da05967484e906c,Techniques of Facial Synthesis : A Comprehensive Literature Review,India,India,India,20.59368400,78.96288000,edu, +9630109529870d142fde01341da05967484e906c,Techniques of Facial Synthesis : A Comprehensive Literature Review,India,India,India,20.59368400,78.96288000,edu, +9630109529870d142fde01341da05967484e906c,Techniques of Facial Synthesis : A Comprehensive Literature Review,India,India,India,20.59368400,78.96288000,edu, 96921b313f4c8dd6cb2299de1a24d4e9803ffdc1,Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu, 96e731e82b817c95d4ce48b9e6b08d2394937cf8,Unconstrained face verification using deep CNN features,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, 96858cea5e9c72a93d438b6ba8d9e027db5416a7,Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, 96858cea5e9c72a93d438b6ba8d9e027db5416a7,Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, 96d116795b9d719c3b1a6d70b906c251fb4bfe09,Study on the ORB algorithm in the application of Monocular SLAM,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +96d116795b9d719c3b1a6d70b906c251fb4bfe09,Study on the ORB algorithm in the application of Monocular SLAM,China,China,China,35.86166000,104.19539700,edu, 96d116795b9d719c3b1a6d70b906c251fb4bfe09,Study on the ORB algorithm in the application of Monocular SLAM,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +96d116795b9d719c3b1a6d70b906c251fb4bfe09,Study on the ORB algorithm in the application of Monocular SLAM,China,China,China,35.86166000,104.19539700,edu, 9612fd66fcd3902bc267a62c146398eb8d30830e,Classifying Actions and Measuring Action Similarity by Modeling the Mutual Context of Objects and Human Poses,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 969c4d89d7b22b36d8fc569156ca6e040b31565d,Soft Biometric Recognition from Comparative Crowdsourced Annotations,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +96723b42451c42ec396381596490143aac8f85cd,A Computer Vision Approach for the Eye Accessing Cue Model Used in Neuro-linguistic Programming,Romania,Romania,Romania,45.94316100,24.96676000,edu, +96723b42451c42ec396381596490143aac8f85cd,A Computer Vision Approach for the Eye Accessing Cue Model Used in Neuro-linguistic Programming,Romania,Romania,Romania,45.94316100,24.96676000,edu, +96723b42451c42ec396381596490143aac8f85cd,A Computer Vision Approach for the Eye Accessing Cue Model Used in Neuro-linguistic Programming,Romania,Romania,Romania,45.94316100,24.96676000,edu, +96d6e0bf752c42ede0170e9b332ca390ac75cd1f,Temporal Hierarchical Dictionary with HMM for Fast Gesture Recognition,China,China,China,35.86166000,104.19539700,edu, 965f8bb9a467ce9538dec6bef57438964976d6d9,Recognizing human faces under disguise and makeup,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 961e411c99d8ca6807076c4fb18e2d63a383aa0f,Non-negative matrix factorization methods for face recognition under extreme lighting variations,University of Oradea,University of Oradea,"Universitatea Creștină Partium - Clădirea Sulyok, 27, Strada Primăriei, Orașul Nou, Oradea, Bihor, 410209, România",47.05702220,21.92270900,edu, +961e411c99d8ca6807076c4fb18e2d63a383aa0f,Non-negative matrix factorization methods for face recognition under extreme lighting variations,Romania,Romania,Romania,45.94316100,24.96676000,edu, 96086909b0b89894aa5423f19d15d5843b95ca87,Convolutional Neural Network for Trajectory Prediction,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, 969ed0575736943c2db62793583f99365d10fbac,Elevated amygdala response to faces following early deprivation.,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, 969ed0575736943c2db62793583f99365d10fbac,Elevated amygdala response to faces following early deprivation.,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 96e1ccfe96566e3c96d7b86e134fa698c01f2289,Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 96e1ccfe96566e3c96d7b86e134fa698c01f2289,Semi-adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, 96578785836d7416bf2e9c154f687eed8f93b1e4,Automated video-based facial expression analysis of neuropsychiatric disorders,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +9603b3a4649fd217752972909d627bde8e0a5023,Spectral Hashing With Semantically Consistent Graph for Image Indexing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 96b83ec9c34c5b8d20797ef0c25f0eb45a7ff389,Face recognition by curvelet based feature extraction,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, +96b83ec9c34c5b8d20797ef0c25f0eb45a7ff389,Face recognition by curvelet based feature extraction,India,India,India,20.59368400,78.96288000,edu, a7da28249072b4983d40aff532c1ad5986cc5f80,DeepWriter: A Multi-stream Deep CNN for Text-Independent Writer Identification,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, a7da28249072b4983d40aff532c1ad5986cc5f80,DeepWriter: A Multi-stream Deep CNN for Text-Independent Writer Identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +a758b744a6d6962f1ddce6f0d04292a0b5cf8e07,"Study on Human Face Recognition under Invariant Pose , Illumination and Expression using LBP , LoG and SVM",India,India,India,20.59368400,78.96288000,edu, +a7790555c65be0fc5b5de9bcb1dc550f4919ce3f,Literature Survey for Face Detection under Illumination Variation,India,India,India,20.59368400,78.96288000,edu, +a7790555c65be0fc5b5de9bcb1dc550f4919ce3f,Literature Survey for Face Detection under Illumination Variation,India,India,India,20.59368400,78.96288000,edu, a754989741afb89e588b52de375054dffbeda39d,Max-Margin Multiple-Instance Dictionary Learning,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, a7aa69b348701f8efb7bc04f36e93ef85ec8a017,Anticipating Traffic Accidents with Adaptive Loss and Large-Scale Incident DB,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu, -a7e5c01e3dca9284f8acffad750cdbb29689d3fb,Introduction to the special issue on learning semantics,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +a7e5c01e3dca9284f8acffad750cdbb29689d3fb,Introduction to the special issue on learning semantics,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, a7e5c01e3dca9284f8acffad750cdbb29689d3fb,Introduction to the special issue on learning semantics,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, a7e5c01e3dca9284f8acffad750cdbb29689d3fb,Introduction to the special issue on learning semantics,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, a7e5c01e3dca9284f8acffad750cdbb29689d3fb,Introduction to the special issue on learning semantics,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, a776acc53591c3eb0b53501d9758d984e2e52a97,Weakly Supervised Instance Segmentation using Class Peak Response,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, a776acc53591c3eb0b53501d9758d984e2e52a97,Weakly Supervised Instance Segmentation using Class Peak Response,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +a775da3e6e6ea64bffab7f9baf665528644c7ed3,Human Face Pose Estimation based on Feature Extraction Points,India,India,India,20.59368400,78.96288000,edu, +a7dab944b42c87c52df2abe016158eafb110b2af,A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, a7dab944b42c87c52df2abe016158eafb110b2af,A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, a7dab944b42c87c52df2abe016158eafb110b2af,A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables,Aberystwyth University,Aberystwyth University,"Aberystwyth University, Llanbadarn Campus, Cefn Esgair, Waun Fawr, Comins Coch, Ceredigion, Wales, SY23 3JG, UK",52.41073580,-4.05295501,edu, a7dab944b42c87c52df2abe016158eafb110b2af,A Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, +a703d51c200724517f099ee10885286ddbd8b587,Fuzzy neural networks(FNN)-based approach for personalized facial expression recognition with novel feature selection method,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +a703d51c200724517f099ee10885286ddbd8b587,Fuzzy neural networks(FNN)-based approach for personalized facial expression recognition with novel feature selection method,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, a7e9d230bc44dfbe56757f3025d5b4caa49032f3,Unity in Diversity: Discovering Topics from Words - Information Theoretic Co-clustering for Visual Categorization,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +a77e9f0bd205a7733431a6d1028f09f57f9f73b0,Multimodal feature fusion for CNN-based gait recognition: an empirical comparison,University of Malaga,University of Malaga,"Av. de Cervantes, 2, 29016 Málaga, Spain",36.71995060,-4.41609270,edu, a70e36daf934092f40a338d61e0fe27be633f577,Enhanced facial feature tracking of spontaneous and continuous expressions.,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, a72821008c41032e82f377b53bd96b5f7f8be025,Recognition using Discriminative Structured Trajectory Groups,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, a71b99357b0952858f98867ed0cbc87738899e1a,ScratchDet : Training Single-Shot Object Detectors from Scratch,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, @@ -9177,6 +11284,7 @@ a75d8fdd48512ff91b393dab07cd0a4f7bf47b65,Unsupervised Learning of Multi-Frame Op a7a66d713776e78ae60617eee2715443a8565a23,Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a7c39a4e9977a85673892b714fc9441c959bf078,Automated Individualization of Deformable Eye Region Model and Its Application to Eye Motion Analysis,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, a7c39a4e9977a85673892b714fc9441c959bf078,Automated Individualization of Deformable Eye Region Model and Its Application to Eye Motion Analysis,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +a7fe834a0af614ce6b50dc093132b031dd9a856b,Orientation Driven Bag of Appearances for Person Re-identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a75edf8124f5b52690c08ff35b0c7eb8355fe950,Authentic Emotion Detection in Real-Time Video,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, a75edf8124f5b52690c08ff35b0c7eb8355fe950,Authentic Emotion Detection in Real-Time Video,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, a75095fcfa78972dd222810fb3e39d77ff6493aa,Fusing Complementary Operators to Enhance Foreground/Background Segmentation,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, @@ -9189,7 +11297,11 @@ a7d7fba176e442f60899c57b976ae6de6d013ceb,Gender differences in experiential and a7d7fba176e442f60899c57b976ae6de6d013ceb,Gender differences in experiential and facial reactivity to approval and disapproval during emotional social interactions,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, a7d7fba176e442f60899c57b976ae6de6d013ceb,Gender differences in experiential and facial reactivity to approval and disapproval during emotional social interactions,University of Salzburg,University of Salzburg,"Universität Salzburg - Unipark, 1, Erzabt-Klotz-Straße, Nonntal, Salzburg, 5020, Österreich",47.79475945,13.05417525,edu, a7e1327bd76945a315f2869bfae1ce55bb94d165,Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition,Guangdong Medical College,Guangdong Medical College,"医学院, 真如路, 凤凰新村, 天河区, 广州市, 广东省, 510635, 中国",23.12944890,113.34376110,edu, +a7e1327bd76945a315f2869bfae1ce55bb94d165,Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition,China,China,China,35.86166000,104.19539700,edu, +a7e1327bd76945a315f2869bfae1ce55bb94d165,Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition,China,China,China,35.86166000,104.19539700,edu, a7e1327bd76945a315f2869bfae1ce55bb94d165,Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition,Guangdong Medical College,Guangdong Medical College,"医学院, 真如路, 凤凰新村, 天河区, 广州市, 广东省, 510635, 中国",23.12944890,113.34376110,edu, +a7e1327bd76945a315f2869bfae1ce55bb94d165,Kernel Fisher Discriminant Analysis with Locality Preserving for Feature Extraction and Recognition,China,China,China,35.86166000,104.19539700,edu, +a77e0db38ed7ad95a3bca95fea72048985c54508,DART: Distribution Aware Retinal Transform for Event-based Cameras,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a7b4291b1feebaed4a36808df2a17a3e452b9efa,"Zero-Shot Learning — The Good, the Bad and the Ugly",Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, a7b4291b1feebaed4a36808df2a17a3e452b9efa,"Zero-Shot Learning — The Good, the Bad and the Ugly",University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, a77342abe136fdbef8da9b43055356e3596c570c,Revealing the secret of facehashing,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, @@ -9199,6 +11311,7 @@ a71d0bf3b8fa6cf0069fe12f3fe6d695fac7dd44,DRAG : A Database for Recognition and A a7191958e806fce2505a057196ccb01ea763b6ea,Convolutional Neural Network based Age Estimation from Facial Image and Depth Prediction from Single Image,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, a7191958e806fce2505a057196ccb01ea763b6ea,Convolutional Neural Network based Age Estimation from Facial Image and Depth Prediction from Single Image,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, a7a0099caf89bedbf4de1c61499f999ea4fc7d98,Combining Class Taxonomies and Multi Task Learning To Regularize Fine-grained Recognition,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +a7a0099caf89bedbf4de1c61499f999ea4fc7d98,Combining Class Taxonomies and Multi Task Learning To Regularize Fine-grained Recognition,India,India,India,20.59368400,78.96288000,edu, a7678cce6bfca4a34feee5564c87c80fe192a0fd,The Weakly Identifying System for Doorway Monitoring,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, a7678cce6bfca4a34feee5564c87c80fe192a0fd,The Weakly Identifying System for Doorway Monitoring,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, a70650358cc226e7f613b49f93d7eca044ca608e,Modeling multimodal cues in a deep learning-based framework for emotion recognition in the wild,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, @@ -9217,21 +11330,25 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 5a716a15b94a84ef3a76edce1e9dadc0f633e498,Crowd Counting with Deep Negative Correlation Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 5a87bc1eae2ec715a67db4603be3d1bb8e53ace2,A Novel Convergence Scheme for Active Appearance Models,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 5a8ca0cfad32f04449099e2e3f3e3a1c8f6541c0,Automatic Frontal Face Reconstruction Approach for Pose Invariant Face Recognition,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +5a8ca0cfad32f04449099e2e3f3e3a1c8f6541c0,Automatic Frontal Face Reconstruction Approach for Pose Invariant Face Recognition,India,India,India,20.59368400,78.96288000,edu, 5a5ae31263517355d15b7b09d74cb03e40093046,Super Resolution and Face Recognition Based People Activity Monitoring Enhancement Using Surveillance Camera,University of Tartu,UNIVERSITY OF TARTU,"Paabel, University of Tartu, 17, Ülikooli, Kesklinn, Tartu linn, Tartu, Tartu linn, Tartu maakond, 53007, Eesti",58.38131405,26.72078081,edu, 5a546cd0e8622b32cfdfd0358041f7d7ab00b5d4,SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 5a48999cf31b26191e2db60d80794163d5f8c43d,Recognition of Activities of Daily Living with Egocentric Vision: A Review,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu, 5ac63895a7d3371a739d066bb1631fc178d8276a,Learning Semantic Feature Map for Visual Content Recognition,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 5ac63895a7d3371a739d066bb1631fc178d8276a,Learning Semantic Feature Map for Visual Content Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 5a1c2ca8b81f924bc7584c2ea873c024cc979a1d,Deep Structured Energy-Based Image Inpainting,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, +5a1c2ca8b81f924bc7584c2ea873c024cc979a1d,Deep Structured Energy-Based Image Inpainting,"RIKEN Center for AIP, Tokyo, Japan","RIKEN Center for AIP, Tokyo, Japan","Japan, 〒103-0027 Tokyo, Chūō, Nihonbashi, 1 Chome−4−1 日本橋一丁目三井ビルディング 15階",35.68253370,139.77463210,edu, 5a5f9e0ed220ce51b80cd7b7ede22e473a62062c,Videos as Space-Time Region Graphs,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 5ab2c97ada652ff8f641e1b30cc27050c0ffa7e0,Comparing Emotion Recognition Skills among Children with and without Jailed Parents,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, +5ab2c97ada652ff8f641e1b30cc27050c0ffa7e0,Comparing Emotion Recognition Skills among Children with and without Jailed Parents,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu, 5ab2c97ada652ff8f641e1b30cc27050c0ffa7e0,Comparing Emotion Recognition Skills among Children with and without Jailed Parents,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, 5a672a0e5c95dd70041989d60672b7b2017f7018,Attention in Multimodal Neural Networks for Person Re-identification,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 5a97dbd14958386aa0d969b5a926bb64cfd01b4a,Weakly-supervised Transfer for 3D Human Pose Estimation in the Wild,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 5a97dbd14958386aa0d969b5a926bb64cfd01b4a,Weakly-supervised Transfer for 3D Human Pose Estimation in the Wild,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, -5a97dbd14958386aa0d969b5a926bb64cfd01b4a,Weakly-supervised Transfer for 3D Human Pose Estimation in the Wild,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +5a97dbd14958386aa0d969b5a926bb64cfd01b4a,Weakly-supervised Transfer for 3D Human Pose Estimation in the Wild,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 5a11ba25cd048f384a83882a5a4dc25db9493b80,Massive City-Scale Surface Condition Analysis Using Ground and Aerial Imagery,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 5a11ba25cd048f384a83882a5a4dc25db9493b80,Massive City-Scale Surface Condition Analysis Using Ground and Aerial Imagery,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +5af5802cc6128bafbde1ae12e0ab41612aee9e3b,An object tracking method using extreme learning machine with online learning,China,China,China,35.86166000,104.19539700,edu, 5aa63f9c0310c4dd64801b379266b778f4778445,Brain Network Activity During Face Perception: The Impact of Perceptual Familiarity and Individual Differences in Childhood Experience.,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 5a96f2bfa2deae2bc35b250251d5fbe82ef4932b,Tensor Fusion Network for Multimodal Sentiment Analysis,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5a3800bee147ad58ab7d6c55d8a2be484c17a511,From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, @@ -9247,8 +11364,14 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 5aa7f33cdc00787284b609aa63f5eb5c0a3212f6,Multiplicative mixing of object identity and image attributes in single inferior temporal neurons,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 5a07945293c6b032e465d64f2ec076b82e113fa6,Pulling Actions out of Context : Explicit Separation for Effective Combination,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 5aadd85e2a77e482d44ac2a215c1f21e4a30d91b,Face Recognition using Principle Components and Linear Discriminant Analysis,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, +5a7520380d9960ff3b4f5f0fe526a00f63791e99,The Indian Spontaneous Expression Database for Emotion Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +5a34a9bb264a2594c02b5f46b038aa1ec3389072,Label-Embedding for Image Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +182f3aa4b02248ff9c0f9816432a56d3c8880706,Sparse Coding for Classification via Discrimination Ensemble,China,China,China,35.86166000,104.19539700,edu, +182f3aa4b02248ff9c0f9816432a56d3c8880706,Sparse Coding for Classification via Discrimination Ensemble,China,China,China,35.86166000,104.19539700,edu, 182f3aa4b02248ff9c0f9816432a56d3c8880706,Sparse Coding for Classification via Discrimination Ensemble,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +18a9f3d855bd7728ed4f988675fa9405b5478845,AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu, 18a9f3d855bd7728ed4f988675fa9405b5478845,AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION,Manonmaniam Sundaranar University,Manonmaniam Sundaranar University,"Manonmaniam Sundaranar University, Tenkasi-Tirunelveli, Gandhi Nagar, Tirunelveli, Tirunelveli Kattabo, Tamil Nadu, 627808, India",8.76554685,77.65100445,edu, +18a9f3d855bd7728ed4f988675fa9405b5478845,AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu, 1839830486082578d2612e46a89e0e727ea1773a,Learning Hash Codes with Listwise Supervision,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, 1839830486082578d2612e46a89e0e727ea1773a,Learning Hash Codes with Listwise Supervision,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, 1839830486082578d2612e46a89e0e727ea1773a,Learning Hash Codes with Listwise Supervision,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, @@ -9260,6 +11383,7 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 186d6d47855cb00c5bc99497932422b8963510cd,Image Retrieval with a Bayesian Model of Relevance Feedback,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 186d6d47855cb00c5bc99497932422b8963510cd,Image Retrieval with a Bayesian Model of Relevance Feedback,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 184c3e66a746376716d5e816d95e1a7cb8e04390,Unsupervised learning of a scene-specific coarse gaze estimator,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +184c3e66a746376716d5e816d95e1a7cb8e04390,Unsupervised learning of a scene-specific coarse gaze estimator,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 18cf63b20521964f2115f6c939f70e582999bff5,Analysing False Positives and 3D Structure to Create Intelligent Thresholding and Weighting Functions for SIFT Features,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 189b1859f77ddc08027e1e0f92275341e5c0fdc6,Sparse Representations and Distance Learning for Attribute Based Category Recognition,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 187480101af3fb195993da1e2c17d917df24eb23,Unsupervised Visual Representation Learning by Context Prediction,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -9279,8 +11403,10 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 1836eb6b095f868a91364a4113cdd9a94fdbfadd,Face Averages Enhance User Recognition for Smartphone Security,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu, 1836eb6b095f868a91364a4113cdd9a94fdbfadd,Face Averages Enhance User Recognition for Smartphone Security,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 187d4d9ba8e10245a34f72be96dd9d0fb393b1aa,Mining visual actions from movies,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +187d4d9ba8e10245a34f72be96dd9d0fb393b1aa,Mining visual actions from movies,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 181d0534f2c0233804a6f90c75c919d868fd58e1,Distinguishing Posed and Spontaneous Smiles by Facial Dynamics,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 18ced9c7bab4d7fa69ccf2d3c8783317ba94e59f,Opportunistic Human Observation Attacks: Perils in Designing Zero-Effort Deauthentication,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +1886b6d9c303135c5fbdc33e5f401e7fc4da6da4,Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 18200e8db6fc63f16d5ed098b5abc17bf0939333,The Fastest Pedestrian Detector in the West,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 18200e8db6fc63f16d5ed098b5abc17bf0939333,The Fastest Pedestrian Detector in the West,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 188d26a005b6aac1448b9c52529b93a186c33685,Predictive network with leveraging clinical measures as auxiliary task,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, @@ -9288,12 +11414,15 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 188d26a005b6aac1448b9c52529b93a186c33685,Predictive network with leveraging clinical measures as auxiliary task,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, 18dd8e04ecb5421b13aac39c288cd8dc3a541178,Unsupervised Selective Transfer Learning for Object Recognition,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 188951263d3140b3b5f5579e7a745317356e75ce,Face-space architectures: evidence for the use of independent color-based features.,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +18c4a0e82fdddda2530b7281ad567abc0373a89f,Principal Coefficients Embedding: Theory and Algorithm,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 18219d85bb14f851fc4714df19cc7f38dff8ddc3,Adaptation of Convolutional Neural Networks for the 2017 DAVIS Challenge on Video Object Segmentation,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 18166432309000d9a5873f989b39c72a682932f5,LEARNING A WARPED SUBSPACE MODEL OF FACES WITH IMAGES OF UNKNOWN POSE AND ILLUMINATION,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 188ee38f451cb2134bd11e4265cbfe26ac0ab717,Lip Biometrics for Digit Recognition,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, 188ee38f451cb2134bd11e4265cbfe26ac0ab717,Lip Biometrics for Digit Recognition,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, 183c10b7d9ff26576e13a6639de0f7af206ed058,Face recognition based on frontal views generated from non-frontal images,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, +1837decb49fb6fc68a6085e797faefb591fecb8a,Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network,"POSTECH, Pohang, Korea","POSTECH, Pohang, Korea","77 Cheongam-ro, Hyogok-dong, Nam-gu, Pohang, Gyeongsangbuk-do, South Korea",36.01388570,129.32318360,edu, 1837decb49fb6fc68a6085e797faefb591fecb8a,Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +18727c3f4ada0cec9e5914340cc672d0554d7784,"3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 18078e72bddefffc24a6e882790aca8531773bed,Sublinear scaling of country attractiveness observed from Flickr dataset,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 186370ecc1f05ef8d3f611873a039fcde3af68b5,Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152).,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 183c8da12a07e2002fd71edbabeca5b3bfb45d66,Grounding Natural Language Instructions with Unknown Object References using Learned Visual Attributes,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -9306,32 +11435,44 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 185aaed9d48f42463791726f1ddf4e1be64a47d9,Person Re-Identification with Vision and Language,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 185aaed9d48f42463791726f1ddf4e1be64a47d9,Person Re-Identification with Vision and Language,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 18fe63c013983bea53be7d559ef36a1f385ca6ea,DR AF T Supervision Beyond Human Annotations for Learning Visual Representations,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +18233c55982050292ba7f6a5462c0e7576c3398d,Face Recognition using Eye Distance and PCA Approaches,India,India,India,20.59368400,78.96288000,edu, +18a4399b8afb460cbd4de2225f39ed23a95336d6,HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +18cd79f3c93b74d856bff6da92bfc87be1109f80,An Application to Human Face Photo-sketch Synthesis and Recognition,India,India,India,20.59368400,78.96288000,edu, 18095a530b532a70f3b615fef2f59e6fdacb2d84,Deep Structured Scene Parsing by Learning with Image Descriptions,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 18095a530b532a70f3b615fef2f59e6fdacb2d84,Deep Structured Scene Parsing by Learning with Image Descriptions,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 1875b2325b3efcb49dec51c6416f40862db4fe74,Functional abnormalities of the default network during self- and other-reflection in autism.,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 185263189a30986e31566394680d6d16b0089772,Efficient Annotation of Objects for Video Analysis,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +185263189a30986e31566394680d6d16b0089772,Efficient Annotation of Objects for Video Analysis,India,India,India,20.59368400,78.96288000,edu, 18aaeaba26d95482fc40d560c49f0a7f22ea0870,Automatic Detection of Learning-Centered Affective States in the Wild,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 18aaeaba26d95482fc40d560c49f0a7f22ea0870,Automatic Detection of Learning-Centered Affective States in the Wild,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 18aaeaba26d95482fc40d560c49f0a7f22ea0870,Automatic Detection of Learning-Centered Affective States in the Wild,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, +18c72175ddbb7d5956d180b65a96005c100f6014,From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +18aae0f20fdc6aab093c72c81005247d2cbc8512,Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +18001ed8ce46cf9df5574b1e360550ed9401cd76,Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +18001ed8ce46cf9df5574b1e360550ed9401cd76,Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 18c515d42666c95079f9a98eab59ac1cdfb10859,An ASM fitting method based on machine learning that provides a robust parameter initialization for AAM fitting,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, 18c515d42666c95079f9a98eab59ac1cdfb10859,An ASM fitting method based on machine learning that provides a robust parameter initialization for AAM fitting,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 182470fd0c18d0c5979dff75d089f1da176ceeeb,A Multimodal Annotation Schema for Non-Verbal Affective Analysis in the Health-Care Domain,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu, 182470fd0c18d0c5979dff75d089f1da176ceeeb,A Multimodal Annotation Schema for Non-Verbal Affective Analysis in the Health-Care Domain,Information Technologies Institute,Information Technologies Institute,"公益財団法人九州先端科学技術研究所, Fukuoka SRP Center Building 7F, 百道ランプ下り入り口, 早良区, 福岡市, 福岡県, 九州地方, 814-0001, 日本",33.59345390,130.35578370,edu, 18941b52527e6f15abfdf5b86a0086935706e83b,DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, -18b9dc55e5221e704f90eea85a81b41dab51f7da,Attention-Based Temporal Weighted Convolutional Neural Network for Action Recognition,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +18b9dc55e5221e704f90eea85a81b41dab51f7da,Attention-Based Temporal Weighted Convolutional Neural Network for Action Recognition,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 180953265b3ad550682c8f0dc693eda87b82ec91,Thinking of images as what they are: compound matrix regression for image classification,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 180953265b3ad550682c8f0dc693eda87b82ec91,Thinking of images as what they are: compound matrix regression for image classification,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 18193194b7000f442c9df5ab16735a1f3ccbb630,Do Explanations make VQA Models more Predictable to a Human?,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +189355bff03076cc5bddaa11239626051931144d,Learning Representations for Automatic Colorization,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, +18d4210a5bb56e92045ef0637208685abaaca6a5,GIANT: geo-informative attributes for location recognition and exploration,China,China,China,35.86166000,104.19539700,edu, 18c57ddc9c0164ee792661f43a5578f7a00d0330,ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu, 1862bfca2f105fddfc79941c90baea7db45b8b16,Annotator rationales for visual recognition,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 18ab9be9af94f2bf4d3828161ffb232d1462526a,SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 18ab9be9af94f2bf4d3828161ffb232d1462526a,SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-identification Systems,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +183ad3409a53914247affc599b33af38d94937be,A Latent-Variable Lattice Model,India,India,India,20.59368400,78.96288000,edu, 85fbc94c8bc8e003006913c4df61ebd593b71192,Efficient Video Object Segmentation via Network Modulation,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, 8546885e83f7901340c7893fdfc017cef86d910a,Convolutional Long Short-Term Memory Networks for Recognizing First Person Interactions,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 852f960186a32e7762feb68e407d59456bee075e,Learning and Using Taxonomies for Visual and Olfactory Classification,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 8552f6e3f73db564a2e625cceb1d1348d70b598c,Learning Compact Appearance Representation for Video-based Person Re-Identification,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, 85c7aab0f58f17816064699865cd0836bfbf2e82,A New Representation for Human Gait Recognition: Motion Silhouettes Image (MSI),Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 85476331edc9a9e3393f736f14aa80ad95f3c105,"""Wealth Makes Many Friends"": Children Expect More Giving From Resource-Rich Than Resource-Poor Individuals.",Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, +85476331edc9a9e3393f736f14aa80ad95f3c105,"""Wealth Makes Many Friends"": Children Expect More Giving From Resource-Rich Than Resource-Poor Individuals.",India,India,India,20.59368400,78.96288000,edu, 85476331edc9a9e3393f736f14aa80ad95f3c105,"""Wealth Makes Many Friends"": Children Expect More Giving From Resource-Rich Than Resource-Poor Individuals.",Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, 8588e784033bcbeddad88d45decfd3af2017ad3e,Neural Motifs: Scene Graph Parsing with Global Context,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 8588e784033bcbeddad88d45decfd3af2017ad3e,Neural Motifs: Scene Graph Parsing with Global Context,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -9340,6 +11481,8 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 85e283564fca1d1cf4d142647561901a26f144c6,On the Origin of Deep Learning On the Origin of Deep Learning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 85e283564fca1d1cf4d142647561901a26f144c6,On the Origin of Deep Learning On the Origin of Deep Learning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 85304f24f5a1800e66de20ad05e20c8c032b7d03,Understanding and Discovering Deliberate Self-harm Content in Social Media,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +8599560c50a55e75928dba6bbcbb98ef180a0798,Vocabulary Length Experiments for Binary Image Classification Using BOV Approach,India,India,India,20.59368400,78.96288000,edu, +8599560c50a55e75928dba6bbcbb98ef180a0798,Vocabulary Length Experiments for Binary Image Classification Using BOV Approach,India,India,India,20.59368400,78.96288000,edu, 852e7df8794b15413f1d71628939c3cc28580b12,Boosted Audio-Visual HMM for Speech Reading,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 85192977775e1f1001334a13de5d32736fbfd24c,Pedestrian Parsing via Deep Decompositional Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 85192977775e1f1001334a13de5d32736fbfd24c,Pedestrian Parsing via Deep Decompositional Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -9349,22 +11492,35 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 852bdbcd091f48e07e9b989cb326e631e2932d7f,Visual scanning patterns and executive function in relation to facial emotion recognition in aging.,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 852bdbcd091f48e07e9b989cb326e631e2932d7f,Visual scanning patterns and executive function in relation to facial emotion recognition in aging.,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 852bdbcd091f48e07e9b989cb326e631e2932d7f,Visual scanning patterns and executive function in relation to facial emotion recognition in aging.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +8582d5307793643e5b6a5e4354ee1ba32eff3809,Techniques for Face Detection & Recognition Systema Comprehensive Review,India,India,India,20.59368400,78.96288000,edu, +8582d5307793643e5b6a5e4354ee1ba32eff3809,Techniques for Face Detection & Recognition Systema Comprehensive Review,India,India,India,20.59368400,78.96288000,edu, 858adc1499e556dd4d2c65705dc62d2e3592b3bf,Semantic Feature Augmentation in Few-shot Learning,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 853416c2a96ad46bdf3ef044f7a11e19d86fe073,Head Pose Classification in Crowded Scenes,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 85b32c201ef787e9e28538f1bcbefe30ad785535,Recognition of Vehicles as Changes in Satellite Imagery,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, 85b32c201ef787e9e28538f1bcbefe30ad785535,Recognition of Vehicles as Changes in Satellite Imagery,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, 85b32c201ef787e9e28538f1bcbefe30ad785535,Recognition of Vehicles as Changes in Satellite Imagery,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +851f3dcfde59313dc2c8b87314f5a191d82194f4,Multiview Graphical Models for Tracking Occluded Objects,India,India,India,20.59368400,78.96288000,edu, +851f3dcfde59313dc2c8b87314f5a191d82194f4,Multiview Graphical Models for Tracking Occluded Objects,India,India,India,20.59368400,78.96288000,edu, +85d9cc478a6ef976ae83c8817d7d35e94b4dcf9d,Big Data Processing With Application to Image Super-Resolution,China,China,China,35.86166000,104.19539700,edu, +85d9cc478a6ef976ae83c8817d7d35e94b4dcf9d,Big Data Processing With Application to Image Super-Resolution,China,China,China,35.86166000,104.19539700,edu, +85d9cc478a6ef976ae83c8817d7d35e94b4dcf9d,Big Data Processing With Application to Image Super-Resolution,Nanjing University of Posts and Telecommunications,"College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","9 Wenyuan Rd, Qixia Qu, Nanjing Shi, Jiangsu Sheng, China, 210046",32.10574800,118.93170100,edu, 85faaad8eddebc960865e351c0e3ea81e25d42eb,Deep Group-shuffling Random Walk for Person Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 85dc159dd1eec52147b24f32f8ddab135abeb8ad,Visual Aesthetic Quality Assessment with Multi-task Deep Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 85957b49896246bb416c0a182e52b355a8fa40b4,Feature Pyramid Network for Multi-Class Land Segmentation,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 8520da50e5e234c14272921868ff36d55e6c7837,BNL-108233-2015-CP Unsupervised Feature Selection on Data Streams,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, 85cf25b9c92ffea7d72d33067b2836208d14910c,A large-scale and global car dataset for verification,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +8569fc88a3d1ac8b873872becb2ee8bc01dc73bc,Deep-Person: Learning Discriminative Deep Features for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, 8588e780fc03c628d6ccb64084701c13bc507e79,Face Recognition Using a Color PCA Framework,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, +858555b6f4663fe083d6c81a2671c9cd8130bbf3,Object Discovery via Cohesion Measurement,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 855cf31504da69daf03766b1357030dd07e485f7,Residual Dense Network for Image Super-Resolution,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 855cf31504da69daf03766b1357030dd07e485f7,Residual Dense Network for Image Super-Resolution,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 855cf31504da69daf03766b1357030dd07e485f7,Residual Dense Network for Image Super-Resolution,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +853d6cfe9c08c971979d1dd138bb21c25ff750bf,Comparison of MultiView Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation,India,India,India,20.59368400,78.96288000,edu, +853d6cfe9c08c971979d1dd138bb21c25ff750bf,Comparison of MultiView Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation,India,India,India,20.59368400,78.96288000,edu, +854dbb4a0048007a49df84e3f56124d387588d99,Spatial-Temporal Recurrent Neural Network for Emotion Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8598e603438360884073fcf7b843ac489fad43b2,Emotion Recognition from Arbitrary View Facial Images,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 8598e603438360884073fcf7b843ac489fad43b2,Emotion Recognition from Arbitrary View Facial Images,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, +8598e603438360884073fcf7b843ac489fad43b2,Emotion Recognition from Arbitrary View Facial Images,China,China,China,35.86166000,104.19539700,edu, 85c2de95080c1e8d955ac57f64a6b51ac186af32,Imputing human descriptions in semantic biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 856c09ab10efbc8c61a84a951746654d947370f3,Human action recognition by learning bases of action attributes and parts,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 856c09ab10efbc8c61a84a951746654d947370f3,Human action recognition by learning bases of action attributes and parts,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -9373,6 +11529,7 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 85f14bb2ed4b9d680ae4062cbd571752a1ff1dfa,Efficient 3D Face Recognition with Gabor Patched Spectral Regression,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 8587d26cbcff3e86b5acff0467e10c8f2069f4e7,FigureSeer: Parsing Result-Figures in Research Papers,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 855184c789bca7a56bb223089516d1358823db0b,Automatic Procedure to Fix Closed-Eyes Image,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, +85678d8aef7188bd59f18829de5b3980af7404b6,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 85678d8aef7188bd59f18829de5b3980af7404b6,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 85678d8aef7188bd59f18829de5b3980af7404b6,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 85678d8aef7188bd59f18829de5b3980af7404b6,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, @@ -9381,6 +11538,9 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 850d84e4c73a8f0762c8c798b2b7fd6f2787263a,The Discovery of Perceptual Structure from Visual Co-occurrences in Space and Time,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 85ac4459daedecf04c46c0fd90adf57238a5993a,MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 85ac4459daedecf04c46c0fd90adf57238a5993a,MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +85ac4459daedecf04c46c0fd90adf57238a5993a,MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset,China,China,China,35.86166000,104.19539700,edu, +85ac4459daedecf04c46c0fd90adf57238a5993a,MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset,China,China,China,35.86166000,104.19539700,edu, +85ac4459daedecf04c46c0fd90adf57238a5993a,MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset,China,China,China,35.86166000,104.19539700,edu, 857ad04fca2740b016f0066b152bd1fa1171483f,Sample images can be independently restored from face recognition templates,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, 85639cefb8f8deab7017ce92717674d6178d43cc,"Automatic Analysisof SpontaneousFacial Behavior : A Final Project Report ( UCSDMPLab TR 2001 . 08 , October 31 2001 )","University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 85d8c16ccd76e2eec303f98f2d1ab239dc3947a2,Self Adversarial Training for Human Pose Estimation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, @@ -9396,25 +11556,32 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 35fc0b28d0d674b28dd625d170bc641a36b17318,CSI : Composite Statistical Inference Techniques for Semantic Segmentation,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, 35cbf049074382e757bbfc8cc45ccbe467833a7a,A simple neural network module for relational reasoning,"London, United Kingdom","London, United Kingdom","London, Greater London, England, SW1A 2DU, UK",51.50732190,-0.12764740,edu, 35f921def890210dda4b72247849ad7ba7d35250,Exemplar-Based Graph Matching for Robust Facial Landmark Localization,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +3514140d9c2e692abed0aebe0531f78c250f5806,Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 35700f9a635bd3c128ab41718b040a0c28d6361a,DeepGait : A Learning Deep Convolutional Representation for View-Invariant Gait Recognition Using Joint Bayesian,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 35700f9a635bd3c128ab41718b040a0c28d6361a,DeepGait : A Learning Deep Convolutional Representation for View-Invariant Gait Recognition Using Joint Bayesian,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu, 351c7e6c2e2fd894626be20a480fa5749e016dc7,LinkNet: Exploiting encoder representations for efficient semantic segmentation,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 351c7e6c2e2fd894626be20a480fa5749e016dc7,LinkNet: Exploiting encoder representations for efficient semantic segmentation,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +3575d74eb548c3187ec5b0d27383ac966b9d7110,Feature Extraction and Face Recognition through Neural Network,India,India,India,20.59368400,78.96288000,edu, +3575d74eb548c3187ec5b0d27383ac966b9d7110,Feature Extraction and Face Recognition through Neural Network,India,India,India,20.59368400,78.96288000,edu, 350af77e01e78e8e3534f42b80b5dd35a602e73c,Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 353b6c1f431feac6edde12b2dde7e6e702455abd,Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 353b6c1f431feac6edde12b2dde7e6e702455abd,Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 35b0331dfcd2897abd5749b49ff5e2b8ba0f7a62,Exploring Models and Data for Image Question Answering,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +35c0220ab8a8281129a00ac32ef2f488fb562eb7,Part Annotations via Pairwise Correspondence,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, -35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu, 35e3f6a9a92cacd53a36ba71575ec3831d227d87,The 2005 PASCAL Visual Object Classes Challenge,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +35e0256b33212ddad2db548484c595334f15b4da,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,China,China,China,35.86166000,104.19539700,edu, 35c473bae9d146072625cc3d452c8f6b84c8cc47,ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 35c473bae9d146072625cc3d452c8f6b84c8cc47,ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +35184b2891ca17a8b1e5fe45b319336d00a2a4c9,Video Person Re-Identification by Temporal Residual Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 356b431d4f7a2a0a38cf971c84568207dcdbf189,Recognize complex events from static images by fusing deep channels,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 356b431d4f7a2a0a38cf971c84568207dcdbf189,Recognize complex events from static images by fusing deep channels,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +356b431d4f7a2a0a38cf971c84568207dcdbf189,Recognize complex events from static images by fusing deep channels,China,China,China,35.86166000,104.19539700,edu, 35502af359aa60ae8047df172e29503cfb29c3f9,Recurrent Pixel Embedding for Instance Grouping,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, 35498b80ee457e409c0962e03a6e170a917c83af,Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 35498b80ee457e409c0962e03a6e170a917c83af,Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -9423,6 +11590,7 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 35140ebfa0b6d75fd096aed72d40b16ea6a3828b,Support Discrimination Dictionary Learning for Image Classification,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 35140ebfa0b6d75fd096aed72d40b16ea6a3828b,Support Discrimination Dictionary Learning for Image Classification,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 35140ebfa0b6d75fd096aed72d40b16ea6a3828b,Support Discrimination Dictionary Learning for Image Classification,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +354ddc8976a762ee03fb78b73adc3b5312e5f2a5,Accurate Eye Center Location through Invariant Isocentric Patterns,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3506518d616343d3083f4fe257a5ee36b376b9e1,Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 3506518d616343d3083f4fe257a5ee36b376b9e1,Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition,University of Perugia,University of Perugia,"Caffe Perugia, 2350, Health Sciences Mall, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.26224210,-123.24500520,edu, 3506518d616343d3083f4fe257a5ee36b376b9e1,Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, @@ -9449,23 +11617,32 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 35ec9b8811f2d755c7ad377bdc29741b55b09356,"Efficient, Robust and Accurate Fitting of a 3D Morphable Model",University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, 350da18d8f7455b0e2920bc4ac228764f8fac292,Automatic Detecting Neutral Face for Face Authentication and Facial Expression Analysis,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, 35cdd4df9f039f475247bf03fdcc605e40683dce,Eye Detection and Face Recognition Using Evolutionary Computation,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, +357e97b04375f09e9f4cfd45c69ecd9d7f0a15e1,ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars,Hewlett Packard Labs,Hewlett Packard Labs,"560 Oakmead Pkwy, Sunnyvale, CA 94085, USA",37.38607840,-121.98778070,edu, 3514f66f155c271981a734f1523572edcd8fd10e,A complementary local feature descriptor for face identification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 3514f66f155c271981a734f1523572edcd8fd10e,A complementary local feature descriptor for face identification,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, +3535ba0cba9bf03443d52cbfc9a87090ca2e5d49,Supplementary Material : Synthesized Classifiers for Zero-Shot Learning,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 35ab5978376ea8113ff476076f18a677b4136d92,RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 3548cb9ee54bd4c8b3421f1edd393da9038da293,(Unseen) event recognition via semantic compositionality,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 3573dd5b2982e1406f2ef6a1680149d4f9bd95d1,LearningWord Embeddings for Low-resource Languages by PU Learning,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, 3573dd5b2982e1406f2ef6a1680149d4f9bd95d1,LearningWord Embeddings for Low-resource Languages by PU Learning,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, 35f2541ef1b5dc2df8283143b1b98c6309ed47dd,View based approach to forensic face recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 35d181da0b939bdf3bdf579969e5fe69e277e03e,Learning Features by Watching Objects Move,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, +351c02d4775ae95e04ab1e5dd0c758d2d80c3ddd,ActionSnapping: Motion-Based Video Synchronization,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 3548415e23b536b9e41aa3d92c18880f38a1d80c,Superpixel-Based Feature for Aerial Image Scene Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +3548415e23b536b9e41aa3d92c18880f38a1d80c,Superpixel-Based Feature for Aerial Image Scene Recognition,China,China,China,35.86166000,104.19539700,edu, 3548415e23b536b9e41aa3d92c18880f38a1d80c,Superpixel-Based Feature for Aerial Image Scene Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 3548415e23b536b9e41aa3d92c18880f38a1d80c,Superpixel-Based Feature for Aerial Image Scene Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 35f03f5cbcc21a9c36c84e858eeb15c5d6722309,Placing Broadcast News Videos in their Social Media Context Using Hashtags,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +35058a8166a8fa4479167ba33b3010cc8c839f44,A Study on Gait-Based Gender Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +35058a8166a8fa4479167ba33b3010cc8c839f44,A Study on Gait-Based Gender Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3505c9b0a9631539e34663310aefe9b05ac02727,A Joint Discriminative Generative Model for Deformable Model Construction and Classification,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 3505c9b0a9631539e34663310aefe9b05ac02727,A Joint Discriminative Generative Model for Deformable Model Construction and Classification,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +35af45f799c65d21bbb3cd24f666de861bad33b0,Multi-Target Tracking by Discrete-Continuous Energy Minimization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +35af45f799c65d21bbb3cd24f666de861bad33b0,Multi-Target Tracking by Discrete-Continuous Energy Minimization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 534ac5cd8e2503b333efcc94d92e5359b54190b1,3D FACE RECONSTRUCTION USING STEREO VISION A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF MIDDLE EAST TECHNICAL UNIVERSITY BY MEHMET DİKMEN IN PARTIAL FULLFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, 532837c431617d37c03361ba5a7d5fdb082c55f4,Connecting Language and Vision to Actions,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 532837c431617d37c03361ba5a7d5fdb082c55f4,Connecting Language and Vision to Actions,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +533bfb82c54f261e6a2b7ed7d31a2fd679c56d18,Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 53d78c8dbac7c9be8eb148c6a9e1d672f1dd72f9,GoogleBarryManilow GoogleBillClinton GoogleBillCosby GoogleBradPitt GoogleByronScott GoogleDavidLeno GoogleGerardDepardieu GoogleJacquesChirac GoogleJeanReno GoogleJoeMontana GoogleJohnMcCain GoogleJustinTimberlake GoogleKobeBryant GoogleMarioLopez GoogleMartinShort GoogleMikeMeyers GoogleNickLachey,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 539287d8967cdeb3ef60d60157ee93e8724efcac,Learning Deep ℓ0 Encoders,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, 539287d8967cdeb3ef60d60157ee93e8724efcac,Learning Deep ℓ0 Encoders,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, @@ -9478,11 +11655,17 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 53bed46ade7d09af5301a730ac147d3d25329f4e,Road Detection and Semantic Segmentation without Strong Human Supervision,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 53bed46ade7d09af5301a730ac147d3d25329f4e,Road Detection and Semantic Segmentation without Strong Human Supervision,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 537d8c4c53604fd419918ec90d6ef28d045311d0,Active collaborative ensemble tracking,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, +538a9230ddc14b8a5d3f5f195aac4ec43e37d16f,Joint Holistic and Partial CNN for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu, 53c14feecdf23c40c594c25a0075c7150fa2f9e2,Blockwise Parallel Decoding for Deep Autoregressive Models,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, +532c80d296a5852703a33c03824f4199e44f96a7,Fast Rigid 3D Registration Solution: A Simple Method Free of SVD and Eigen-Decomposition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,China,China,China,35.86166000,104.19539700,edu, 5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,China,China,China,35.86166000,104.19539700,edu, 5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,China,China,China,35.86166000,104.19539700,edu, 5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +5388638c7801b11958d937c89ece764bc769e298,Identity processing in multiple-face tracking.,China,China,China,35.86166000,104.19539700,edu, 533d91cbb5e306c96b71b6f776382f3956e5dc7d,Faster Feature Engineering by Approximate Evaluation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 533d91cbb5e306c96b71b6f776382f3956e5dc7d,Faster Feature Engineering by Approximate Evaluation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 53ce84598052308b86ba79d873082853022aa7e9,Optimized Method for Real-Time Face Recognition System Based on PCA and Multiclass Support Vector Machine,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, @@ -9490,11 +11673,12 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 532f91d59d96d28379e09043592903d143218f4b,Cross-Domain Hallucination Network for Fine-Grained Object Recognition,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 532f91d59d96d28379e09043592903d143218f4b,Cross-Domain Hallucination Network for Fine-Grained Object Recognition,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, 539923c8f2f4641f71056b71e5628d1b9b633835,Mining actionlet ensemble for action recognition with depth cameras,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, -539923c8f2f4641f71056b71e5628d1b9b633835,Mining actionlet ensemble for action recognition with depth cameras,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +539923c8f2f4641f71056b71e5628d1b9b633835,Mining actionlet ensemble for action recognition with depth cameras,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 539923c8f2f4641f71056b71e5628d1b9b633835,Mining actionlet ensemble for action recognition with depth cameras,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 53698b91709112e5bb71eeeae94607db2aefc57c,Two-Stream Convolutional Networks for Action Recognition in Videos,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 533d14e539ae5cdca0ece392487a2b19106d468a,Bidirectional Multirate Reconstruction for Temporal Modeling in Videos,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 53ae38a6bb2b21b42bac4f0c4c8ed1f9fa02f9d4,Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis,Binghamton University,Binghamton University,"Binghamton University Downtown Center, Washington Street, Downtown, Binghamton, Broome County, New York, 13901, USA",42.09580770,-75.91455689,edu, +53facd4da5f1d1f98f876211421957f5fbe8a29a,The Mesh-LBP: A Framework for Extracting Local Binary Patterns From Discrete Manifolds,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 532c089b43983935e1001c5e35aa35440263beaf,G-Distillation: Reducing Overconfident Errors on Novel Samples,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 532f7ec8e0c8f7331417dd4a45dc2e8930874066,Semi-supervised dimensionality reduction on data with multiple representations for label propagation on facial images,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 53509b593487ff4b5ce05339b60184b122884452,In Teacher We Trust : Deep Network Compression for Pedestrian Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -9503,10 +11687,14 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 53509b593487ff4b5ce05339b60184b122884452,In Teacher We Trust : Deep Network Compression for Pedestrian Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 53d0227c40b354cc438c035951da801c9dcd87b7,Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 53d0227c40b354cc438c035951da801c9dcd87b7,Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +53b35519e09772fb7ec470fdec51c6edb43c4f13,Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, +53b35519e09772fb7ec470fdec51c6edb43c4f13,Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 532913844a98cccd780207b78a3e2d642783595d,Face recognition with occlusions in the training and testing sets,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, 534f41985a7350261a03b8c0dc54e218115dc4a5,A Hierarchical Model of Shape and Appearance for Human Action Classification,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 534f41985a7350261a03b8c0dc54e218115dc4a5,A Hierarchical Model of Shape and Appearance for Human Action Classification,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +536d1f74c6543afcf2bc711befd82ac7886d1c33,Fusing Shearlets and LBP Feature Sets for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 536b5739c2162301bff19730a65bfbe8b86179b6,Posebits for Monocular Human Pose Estimation,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +533d70c914a4b84ec7f35ef6c74bb3acba4c26fc,Blaming the victims of your own mistakes: How visual search accuracy influences evaluation of stimuli.,Russia,Russia,Russia,61.52401000,105.31875600,edu, 533d70c914a4b84ec7f35ef6c74bb3acba4c26fc,Blaming the victims of your own mistakes: How visual search accuracy influences evaluation of stimuli.,University of Iceland,University of Iceland,"Háskóli Íslands, Sturlugata, Háskóli, Reykjavík, Reykjavíkurborg, Höfuðborgarsvæðið, 121, Ísland",64.13727400,-21.94561454,edu, 533d70c914a4b84ec7f35ef6c74bb3acba4c26fc,Blaming the victims of your own mistakes: How visual search accuracy influences evaluation of stimuli.,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 5375149a74361b51d734613be5d2ccba0c6b6955,Boundary-Seeking Generative Adversarial Networks,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, @@ -9515,6 +11703,7 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 538c6000369594084b122c37b3219ad15b58cb37,Hierarchical Cascade of Classifiers for Efficient Poselet Evaluation,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 5397c34a5e396658fa57e3ca0065a2878c3cced7,Lighting normalization with generic intrinsic illumination subspace for face recognition,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 53d3738e867cae5f19f2bd9bb96d0d06eb0362b0,Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, +53d3738e867cae5f19f2bd9bb96d0d06eb0362b0,Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition,China,China,China,35.86166000,104.19539700,edu, 532804f37d77b91052dc2a4d75a2b756d6754d11,Transductive Unbiased Embedding for Zero-Shot Learning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 532804f37d77b91052dc2a4d75a2b756d6754d11,Transductive Unbiased Embedding for Zero-Shot Learning,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 532804f37d77b91052dc2a4d75a2b756d6754d11,Transductive Unbiased Embedding for Zero-Shot Learning,"Alibaba Group, Hangzhou, China","Alibaba Group, Hangzhou, China","Alibaba Group, 五常街道, 余杭区 (Yuhang), 杭州市 Hangzhou, 浙江省, 中国",30.28106540,120.02139087,edu, @@ -9522,15 +11711,18 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 5369b021f2abf5daa77fa5602569bb3b8bb18546,GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 535ed3850e79ccd51922601546ef0fc48c5fb468,A feature embedding strategy for high-level CNN representations from multiple convnets,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, 535ed3850e79ccd51922601546ef0fc48c5fb468,A feature embedding strategy for high-level CNN representations from multiple convnets,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +535ed3850e79ccd51922601546ef0fc48c5fb468,A feature embedding strategy for high-level CNN representations from multiple convnets,China,China,China,35.86166000,104.19539700,edu, 536b1db1b1db8d4cfef813575304421ebe8332f7,A Procrustean Markov Process for Non-rigid Structure Recovery,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +896e2776174dcb86d311789ab83a266151d0595b,A Novel Performance Evaluation Methodology for Single-Target Trackers,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 89887e95169efb35726cbeecf6a252de6fbcac3b,GroupCap : Group-based Image Captioning with Structured Relevance and Diversity Constraints,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 89887e95169efb35726cbeecf6a252de6fbcac3b,GroupCap : Group-based Image Captioning with Structured Relevance and Diversity Constraints,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +89887e95169efb35726cbeecf6a252de6fbcac3b,GroupCap : Group-based Image Captioning with Structured Relevance and Diversity Constraints,China,China,China,35.86166000,104.19539700,edu, 89f73328e509e3ab2df01481cf55cb53050f6343,Cortical Surface Thickness as a Classifier: Boosting for Autism Classification,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 89f73328e509e3ab2df01481cf55cb53050f6343,Cortical Surface Thickness as a Classifier: Boosting for Autism Classification,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu, 89f4bcbfeb29966ab969682eae235066a89fc151,A comparison of photometric normalisation algorithms for face verification,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 89dcf3d6f42f1a2fcdb0c81982ac1ea9e4ce2339,Convolutional Neural Networks for Detecting and Mapping Crowds in First Person Vision Applications,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, 893292315f5ecc73e84c5585900c53072de38550,Uncertainty Flow Facilitates Zero-Shot Multi-Label Learning in Affective Facial Analysis,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, -89f9fcc6b6bbc3c8c13f37d602d42a5c7196bcdd,Video Captioning via Hierarchical Reinforcement Learning,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +89f9fcc6b6bbc3c8c13f37d602d42a5c7196bcdd,Video Captioning via Hierarchical Reinforcement Learning,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, 89e7d23e0c6a1d636f2da68aaef58efee36b718b,Lucas-Kanade Scale Invariant Feature Transform for Uncontrolled Viewpoint Face Recognition,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, 898ef892b4cb9c206afc2daae04eacb1a7c7f956,Dump Truck Recognition Based on SCPSR in Videos,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 891d435fd1a070bb66225abfd62b2e2c5350e87c,Selective Feature Generation Method for Classification of Low-dimensional Data,Dankook University,Dankook University,"단국대학교 치과병원, 죽전로, 죽전동, 수지구, 용인시, 경기, 16900, 대한민국",37.32195750,127.12507230,edu, @@ -9542,6 +11734,10 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 891ecd15c285aeb7286762b8a02e9897cd9df5a1,Driving recorder based on-road pedestrian tracking using visual SLAM and Constrained Multiple-Kernel,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 891ecd15c285aeb7286762b8a02e9897cd9df5a1,Driving recorder based on-road pedestrian tracking using visual SLAM and Constrained Multiple-Kernel,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 89b4111f14cdf342188f96d3962581fd0afa042f,A Study and Comparison of Human and Deep Learning Recognition Performance under Visual Distortions,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, +89fe52d1be59c7cbc8c0c2d41a0247060390ca74,Robust Multimodal Biometrics Recognition : A Review,India,India,India,20.59368400,78.96288000,edu, +89fe52d1be59c7cbc8c0c2d41a0247060390ca74,Robust Multimodal Biometrics Recognition : A Review,India,India,India,20.59368400,78.96288000,edu, +89fe52d1be59c7cbc8c0c2d41a0247060390ca74,Robust Multimodal Biometrics Recognition : A Review,India,India,India,20.59368400,78.96288000,edu, +89fe52d1be59c7cbc8c0c2d41a0247060390ca74,Robust Multimodal Biometrics Recognition : A Review,India,India,India,20.59368400,78.96288000,edu, 89cabb60aa369486a1ebe586dbe09e3557615ef8,Bayesian Networks as Generative Models for Face Recognition,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 8986585975c0090e9ad97bec2ba6c4b437419dae,Unsupervised Hard Example Mining from Videos for Improved Object Detection,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 89884c2b045cfa10ee0bb0795ee75195d4b37ace,Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, @@ -9552,17 +11748,22 @@ a765b506d29cb46420e125c86ab6ff442905e9d6,DPatch: An Adversarial Patch Attack on 891433740bf6d318782c468638722aebf8bef2f5,Multi-Frame Video Super-Resolution Using Convolutional Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 891433740bf6d318782c468638722aebf8bef2f5,Multi-Frame Video Super-Resolution Using Convolutional Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 892db59add66fc581ae1a7338ff8bd6b7aa0f2b4,FPGA-BASED NORMALIZATION FOR MODIFIED GRAM-SCHMIDT ORTHOGONALIZATION,New Jersey Institute of Technology,New Jersey Institute of Technology,"New Jersey Institute of Technology, Warren Street, University Heights, Newark, Essex County, New Jersey, 07103, USA",40.74230250,-74.17928172,edu, +89475b4d09e541e09becb9aa134c8de117725205,Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +89475b4d09e541e09becb9aa134c8de117725205,Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8916cbd3eb66475182a177ade018ed8a3eed26b7,Fashion apparel detection: The role of deep convolutional neural network and pose-dependent priors,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 8981be3a69cd522b4e57e9914bf19f034d4b530c,Fast Automatic Video Retrieval using Web Images,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 8973910c8acfd296922d9691a533b3c5061ec815,Material for Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, 89dbfb9b75d3902748d73bfb5965e7d11e83c10e,Learning Discriminative Appearance-Based Models Using Partial Least Squares,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 895414849dd5e953feb6801b8d3aa7fa005b1f8b,Semi-Supervised Learning for Face Sketch Synthesis in the Wild,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, 89002a64e96a82486220b1d5c3f060654b24ef2a,PIEFA: Personalized Incremental and Ensemble Face Alignment,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, +894fa98257c0b9a1cb0388ecf56f3bcaa85dd3ff,Cognitive Effects of Mindfulness Training: Results of a Pilot Study Based on a Theory Driven Approach,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +894fa98257c0b9a1cb0388ecf56f3bcaa85dd3ff,Cognitive Effects of Mindfulness Training: Results of a Pilot Study Based on a Theory Driven Approach,Aarhus University,"Integrated Circuits and Electronics Laboratory, Aarhus University, Denmark","Nordre Ringgade 1, 8000 Aarhus C, Denmark",56.16813840,10.20301180,edu, 894a3ab0a3ef82352b2c294dd2bde2bd3403da8c,Recommending Outfits from Personal Closet,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 89e4f5a1eb6a97459bb748f4f7bc5c2696354aad,Semantics from Sound : Modeling Audio and Text Thesis Proposal,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 89cdedb35b487bcf07d6f53aa91463ea2de8da66,Sketch and Match: Scene Montage Using a Huge Image Collection,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 89cdedb35b487bcf07d6f53aa91463ea2de8da66,Sketch and Match: Scene Montage Using a Huge Image Collection,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, 89496d72878ff71ad13d8957210f2f5bf30d637e,A Survey Of 3 D and Multi-Modal 3 D + 2 D Face Recognition,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +d22785eae6b7503cb16402514fd5bd9571511654,Evaluating Facial Expressions with Different Occlusion around Image Sequence,India,India,India,20.59368400,78.96288000,edu, d2bd59d686c6f6eeecb37b8ac0e5c296ea4f2b13,Learning and Fusing Multimodal Features from and for Multi-task Facial Computing,CUNY City College,CUNY City College,"CUNY City College, 205 East 42nd Street, New York, NY 10017",45.55466080,5.40652550,edu, d29279725abfae6bffb81e59296443f3d5f7a689,Post Processing Pedestrian Detection with Background Cues,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, d291569f332a216e2a12238a117d747b0f4ba880,Semantic Part Segmentation with Deep Learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -9571,6 +11772,7 @@ d2d5d61dfdae1c6492d15eae5f0f37f460ba4030,Non-rigid object tracking in video sequ d2d5d61dfdae1c6492d15eae5f0f37f460ba4030,Non-rigid object tracking in video sequences PhD Thesis Proposal,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, d2044b92486248f87bafe937779cd2167efe170c,"Connecting Deep Neural Networks to Physical, Perceptual, and Electrophysiological Auditory Signals",University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, d2044b92486248f87bafe937779cd2167efe170c,"Connecting Deep Neural Networks to Physical, Perceptual, and Electrophysiological Auditory Signals",Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +d2a5b9b8f02f39f7d9ef48d234ec61f4ddc6c291,Facial surface reconstruction in 3 D format,Russia,Russia,Russia,61.52401000,105.31875600,edu, d23ec100432d860b12308941f8539af82a28843f,Adversarial Semantic Scene Completion from a Single Depth Image,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, d28d32af7ef9889ef9cb877345a90ea85e70f7f1,Local-Global Landmark Confidences for Face Recognition,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, d28d32af7ef9889ef9cb877345a90ea85e70f7f1,Local-Global Landmark Confidences for Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -9583,22 +11785,34 @@ d2cd9a7f19600370bce3ea29aba97d949fe0ceb9,Separability Oriented Preprocessing for d2cd9a7f19600370bce3ea29aba97d949fe0ceb9,Separability Oriented Preprocessing for Illumination-Insensitive Face Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, d2796a0d1ba7ed9287a9db6f4714585b8508871f,Human Centred Object Co-Segmentation,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, d2796a0d1ba7ed9287a9db6f4714585b8508871f,Human Centred Object Co-Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu, +d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu, +d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu, +d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu, +d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu, +d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,India,India,India,20.59368400,78.96288000,edu, d23bf3200adece389d6e7c866ca9105d999b23fa,Skill Assessment using Computer Vision based Analysis,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, d23bf3200adece389d6e7c866ca9105d999b23fa,Skill Assessment using Computer Vision based Analysis,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, d23bf3200adece389d6e7c866ca9105d999b23fa,Skill Assessment using Computer Vision based Analysis,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, -d2b2cb1d5cc1aa30cf5be7bcb0494198934caabb,A Restricted Visual Turing Test for Deep Scene and Event Understanding,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +d2b2cb1d5cc1aa30cf5be7bcb0494198934caabb,A Restricted Visual Turing Test for Deep Scene and Event Understanding,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, d20efdf05444a9d7509b85f6d5cd59359b1062f2,First Person Action Recognition,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +d20efdf05444a9d7509b85f6d5cd59359b1062f2,First Person Action Recognition,India,India,India,20.59368400,78.96288000,edu, d2c9f842ed2e36b14b9ea2bb2253159cf5c495ed,Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, d29eec5e047560627c16803029d2eb8a4e61da75,Feature Transfer Learning for Deep Face Recognition with Long-Tail Data,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +d252e10024a22c8274ae67dbf37aa854d75a85f2,Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces,China,China,China,35.86166000,104.19539700,edu, +d2b0e08637266f49e9764b65e5154363b063a00d,Employing Fuzzy-Histogram Equalization to Combat Illumination Invariance in Face Recognition Systems,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, +d2f1fa5f3cc425f7d5b9f6fe6123da8bdb0724b7,A New Image Retrieval System Based on CBIR,India,India,India,20.59368400,78.96288000,edu, d26b443f87df76034ff0fa9c5de9779152753f0c,A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, d22f46d367295a0897a179032ae88f6f31b68228,A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, d22a8bac307e1550a9542c3d4e316496b968bf4f,Advancing large scale object retrieval,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, d26891a7769397bce150a2619ddae1636eae8263,Dynamic context for tracking behind occlusions,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,China,China,China,35.86166000,104.19539700,edu, d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu, d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +d2c64a89238b3f6ea74cf7024c7289f9416f283a,Spatial-Temporal Feature Analysis on Single-Trial Event Related Potential for Rapid Face Identification,China,China,China,35.86166000,104.19539700,edu, d22dd4a6752a5ffa40aebd260ff63d2c2a9e1da1,Pose Invariant 3D Face Reconstruction,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, d22dd4a6752a5ffa40aebd260ff63d2c2a9e1da1,Pose Invariant 3D Face Reconstruction,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, d2336dbae3916135bc26dd064514441ea94a8a2b,Pairwise Kernels for Human Interaction Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, @@ -9609,6 +11823,7 @@ cd468236213273b96d985dcc859f24c0a19e3077,Hopc : a Novel Similarity Metric Based cd468236213273b96d985dcc859f24c0a19e3077,Hopc : a Novel Similarity Metric Based on Geometric Structural Properties for Multi-modal Remote Sensing Image Matching,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, cdb293381ff396d6e9c0f5e9578d411e759347fd,3 DR 2 N 2 : A Unified Approach for Single and Multiview 3 D Object Reconstruction,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, cdc535719aa041b7bbd529eab4582619a04b706e,Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +cd4850de71e4e858be5f5e6ef7f48d5bf7decea6,Distribution Entropy Boosted VLAD for Image Retrieval,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, cd4850de71e4e858be5f5e6ef7f48d5bf7decea6,Distribution Entropy Boosted VLAD for Image Retrieval,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, cd4850de71e4e858be5f5e6ef7f48d5bf7decea6,Distribution Entropy Boosted VLAD for Image Retrieval,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, cd4850de71e4e858be5f5e6ef7f48d5bf7decea6,Distribution Entropy Boosted VLAD for Image Retrieval,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, @@ -9619,21 +11834,28 @@ cd323dc4b67965a4f16b5b0a55fcc1ff0396b375,Action 2 Vec : A Crossmodal Embedding A cd4941cbef1e27d7afdc41b48c1aff5338aacf06,MovieGraphs: Towards Understanding Human-Centric Situations from Videos,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, cd6cab9357f333ad9966abc76f830c190a1b7911,"Recognition, reorganisation, reconstruction and reinteraction for scene understanding",Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, cdf2510d1fa51e911ef8f2618d41707b0c037d3f,Face Identi cation in Multimedia Archives,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +cdd5062627c7b331d64a1dec25989815cd9a4913,GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video,India,India,India,20.59368400,78.96288000,edu, +cdd5062627c7b331d64a1dec25989815cd9a4913,GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video,India,India,India,20.59368400,78.96288000,edu, +cdd5062627c7b331d64a1dec25989815cd9a4913,GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video,India,India,India,20.59368400,78.96288000,edu, cd58d7f2672fedf71d4ac6f7fcd71621612b2d25,A Comparison of Face Detection Algorithms in Visible and Thermal Spectrums,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu, cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de,Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de,Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,China,China,China,35.86166000,104.19539700,edu, cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de,Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, +cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de,Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,China,China,China,35.86166000,104.19539700,edu, cdabc1f190e8841ec6cd5f7cb4a3cd3016d292de,Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, cd0503a31a9f9040736ccfb24086dc934508cfc7,Maximizing Resource Utilization in Video Streaming Systems.,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, cd0503a31a9f9040736ccfb24086dc934508cfc7,Maximizing Resource Utilization in Video Streaming Systems.,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, cd023d2d067365c83d8e27431e83e7e66082f718,Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, cd023d2d067365c83d8e27431e83e7e66082f718,Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, cd96429d213ca1b54607a5a37a469d6c3395d9d9,A ROBUST METHOD FOR STEREO VISUAL ODOMETRY BASED ON MULTIPLE EUCLIDEAN DISTANCE CONSTRAINT AND RANSAC ALGORITHM,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, +cd96429d213ca1b54607a5a37a469d6c3395d9d9,A ROBUST METHOD FOR STEREO VISUAL ODOMETRY BASED ON MULTIPLE EUCLIDEAN DISTANCE CONSTRAINT AND RANSAC ALGORITHM,China,China,China,35.86166000,104.19539700,edu, cd7b872365cc5b5114e0ccb833e307e874a5c3aa,Video Object Segmentation with Language Referring Expressions,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, cd7b872365cc5b5114e0ccb833e307e874a5c3aa,Video Object Segmentation with Language Referring Expressions,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, cdde9cfb726e177b781dffbbb41d15cf58d7f888,A New SIFT-Based Image Descriptor Applicable for Content Based Image Retrieval,Islamic Azad University,Islamic Azad University,"دانشگاه آزاد اسلامی, همدان, بخش مرکزی شهرستان همدان, شهرستان همدان, استان همدان, ‏ایران‎",34.84529990,48.55962120,edu, cd23dc3227ee2a3ab0f4de1817d03ca771267aeb,Face Recognition via Deep Sparse Graph Neural Networks,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, cd436f05fb4aeeda5d1085f2fe0384526571a46e,Information Bottleneck Domain Adaptation with Privileged Information for Visual Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, cd6aaa37fffd0b5c2320f386be322b8adaa1cc68,Deep Face Recognition: A Survey,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +cd490432e35ed5c5b7d80e1525e2780d7467ffb6,ESTIMATION OF LOST VALUES USING KINECT ’ S SENSOR IN AN INPAINTING TECHNIQUE,India,India,India,20.59368400,78.96288000,edu, cd9d654c6a4250e0cf8bcfddc2afab9e70ee6cae,Object Detection with Mask-based Feature Encoding,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, cd9d654c6a4250e0cf8bcfddc2afab9e70ee6cae,Object Detection with Mask-based Feature Encoding,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, cd2605b31feb84fb53a5a56b21499f4ebff20385,DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, @@ -9661,6 +11883,7 @@ cdb1d32bc5c1a9bb0d9a5b9c9222401eab3e9ca0,Functional Faces: Groupwise Dense Corre cd87fea30b68ad1c9ebcb71a224c53cde3516adb,EXTRACTING THE X FACTOR IN HUMAN PARSING 3 Factored module Factored task Aggregation module Input Main task Shared features Silhouette Body parts The X Factor bottleneck layers bottleneck layers bottleneck layers Initial module bottleneck layers initial block,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, cd2221518485f829d3fad81e33ef4033ffa66f75,Multiple Images Recovery Using a Single Affine Transformation,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, cd2221518485f829d3fad81e33ef4033ffa66f75,Multiple Images Recovery Using a Single Affine Transformation,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, +cd010fc089c580c87c5cff4aa6a9b1d6d41e2470,"Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns",9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, cd010fc089c580c87c5cff4aa6a9b1d6d41e2470,"Digital Images Authentication Technique Based on DWT, DCT and Local Binary Patterns",University of Kent,University of Kent,"University of Kent, St. Stephen's Hill, Hackington, Canterbury, Kent, South East, England, CT2 7AS, UK",51.29753440,1.07296165,edu, cdc7bd87a2c9983dab728dbc8aac74d8c9ed7e66,l 1 l 2 l 3 l 4 l 5 ( a ) Class-Agnostic Temporal,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, cdeee5eed68e7c8eb06185f7fcb1a072af784886,Deep Learning for Object Saliency Detection and Image Segmentation,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, @@ -9669,8 +11892,12 @@ b29f348e8675f75ff160ec65ebeeb3f3979b65d8,An objective and subjective evaluation b29f348e8675f75ff160ec65ebeeb3f3979b65d8,An objective and subjective evaluation of content-based privacy protection of face images in video surveillance systems using JPEG XR,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, b239b39c08a08d9c3b1da68a7bce162b580a746e,Gaze selection in complex social scenes,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, b239b39c08a08d9c3b1da68a7bce162b580a746e,Gaze selection in complex social scenes,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, +b2b535118c5c4dfcc96f547274cdc05dde629976,Automatic Recognition of Facial Displays of Unfelt Emotions,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b2e308649c7a502456a8e3c95ac7fbe6f8216e51,Recurrent Regression for Face Recognition,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, +b2e308649c7a502456a8e3c95ac7fbe6f8216e51,Recurrent Regression for Face Recognition,China,China,China,35.86166000,104.19539700,edu, b2cd92d930ed9b8d3f9dfcfff733f8384aa93de8,"HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition",University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +b216040f110d2549f61e3f5a7261cab128cab361,Weighted Voting of Discriminative Regions for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +b29e60ddcabff5002c3ddec135ec94dd991d8d5a,Compressing deep convolutional neural networks in visual emotion recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu, b29b42f7ab8d25d244bfc1413a8d608cbdc51855,Effective face landmark localization via single deep network,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, b234cd7788a7f7fa410653ad2bafef5de7d5ad29,Unsupervised Temporal Ensemble Alignment for Rapid Annotation,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, b234cd7788a7f7fa410653ad2bafef5de7d5ad29,Unsupervised Temporal Ensemble Alignment for Rapid Annotation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -9681,6 +11908,7 @@ b249f10a30907a80f2a73582f696bc35ba4db9e2,Improved graph-based SFA: Information p b2e5df82c55295912194ec73f0dca346f7c113f6,CUHK & SIAT Submission for THUMOS 15 Action Recognition Challenge,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, b2e5df82c55295912194ec73f0dca346f7c113f6,CUHK & SIAT Submission for THUMOS 15 Action Recognition Challenge,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, b2fde24de782d2979b946c49986cabdb12e84eba,Latent Hough Transform for Object Detection,ETH Zurich,"Computer Vision Laboratory, ETH Zurich, Zurich, Switzerland","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu, +b2fde24de782d2979b946c49986cabdb12e84eba,Latent Hough Transform for Object Detection,Microsoft Research Cambridge,Microsoft Research Cambridge,"21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,company, b242124e3bf1ebfc57b5279d4d75ade924a5d1e3,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, b242124e3bf1ebfc57b5279d4d75ade924a5d1e3,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, b242124e3bf1ebfc57b5279d4d75ade924a5d1e3,Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, @@ -9689,12 +11917,18 @@ b2e7b1a8bd7375a043ad4eb1c88dbc7d436d9634,Effective face recognition using bag of b2e7b1a8bd7375a043ad4eb1c88dbc7d436d9634,Effective face recognition using bag of features with additive kernels,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, b27480e13c14e29c44c4370082cdeeb4d9a6d999,Using a Fuzzy Voter,University of Connecticut,University of Connecticut,"University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA",41.80937790,-72.25364140,edu, b2e6944bebab8e018f71f802607e6e9164ad3537,Mixed Error Coding for Face Recognition with Mixed Occlusions,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu, +b2e6944bebab8e018f71f802607e6e9164ad3537,Mixed Error Coding for Face Recognition with Mixed Occlusions,China,China,China,35.86166000,104.19539700,edu, b272f86cc47024b1deaaa29e242ecd5138006199,Deep Drone : Object Detection and Tracking for Smart Drones on Embedded System,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, b2d4ed138816c671c3f698290557d26600377025,Image Caption Validation,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e,Learning with Ambiguous Label Distribution for Apparent Age Estimation,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +b20cfbb2348984b4e25b6b9174f3c7b65b6aed9e,Learning with Ambiguous Label Distribution for Apparent Age Estimation,Finland,Finland,Finland,61.92411000,25.74815110,edu, +b2046c78d4e2f00a72ee9a76875746d2d3f47e1c,Variational Infinite Hidden Conditional Random Fields,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +b2046c78d4e2f00a72ee9a76875746d2d3f47e1c,Variational Infinite Hidden Conditional Random Fields,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +b2046c78d4e2f00a72ee9a76875746d2d3f47e1c,Variational Infinite Hidden Conditional Random Fields,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +b281f6cf99eeb8dbb9bb0c31a57827c8c0493e7f,Multi-target Tracking by Rank-1 Tensor Approximation,China,China,China,35.86166000,104.19539700,edu, b281f6cf99eeb8dbb9bb0c31a57827c8c0493e7f,Multi-target Tracking by Rank-1 Tensor Approximation,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, b29c83b6ee10857e09ac3503916ae1b129642cae,Mo 2 Cap 2 : Real-time Mo bile 3 D Mo tion Cap ture with a Cap-mounted Fisheye Camera,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, -b2a0e5873c1a8f9a53a199eecae4bdf505816ecb,Hybrid VAE: Improving Deep Generative Models using Partial Observations,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +b2a0e5873c1a8f9a53a199eecae4bdf505816ecb,Hybrid VAE: Improving Deep Generative Models using Partial Observations,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, b2d9877443ec7da2490027ccc932468f05c7bf85,Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, b2d9877443ec7da2490027ccc932468f05c7bf85,Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, b2c60061ad32e28eb1e20aff42e062c9160786be,Diverse and Controllable Image Captioning with Part-of-Speech Guidance,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -9709,10 +11943,14 @@ b28eb219db9370cf20063288225cc2f3e6e5f984,Fast and Accurate Head Pose Estimation b285337ba61c2bb54181dbbb4f4863efe1aa6ec2,Realtime 3D eye gaze animation using a single RGB camera,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu, 0e08cf0b19f0600dadce0f6694420d643ea9828b,The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 0e08cf0b19f0600dadce0f6694420d643ea9828b,The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, +0e815b773e480ef20a680dd35cd72ab26a141d2f,Person re-identification via efficient inference in fully connected CRF,China,China,China,35.86166000,104.19539700,edu, +0e815b773e480ef20a680dd35cd72ab26a141d2f,Person re-identification via efficient inference in fully connected CRF,China,China,China,35.86166000,104.19539700,edu, 0e986ac9484e0587b6ccf01a5db735b9bf185157,Refining Architectures of Deep Convolutional Neural Networks,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +0e986ac9484e0587b6ccf01a5db735b9bf185157,Refining Architectures of Deep Convolutional Neural Networks,"Microsoft Research Cambridge, UK","Microsoft Research Cambridge, UK","21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,edu, 0e46943b2b12a8df6a62202651555a1d464cebec,Person Re-identification by Efficient Impostor-Based Metric Learning,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, -0e96646eb97bade66848b1fe50a9fc6ab946ed42,Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +0e96646eb97bade66848b1fe50a9fc6ab946ed42,Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 0e652a99761d2664f28f8931fee5b1d6b78c2a82,Making a Science of Model Search,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +0e36bf238d2db6c970ade0b5f68811ed6debc4e8,Recognizing Partial Biometric Patterns,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0e41bb49b2b3b1fc4fadce856f164af51549bcb4,Max-Margin Structured Output Regression for Spatio-Temporal Action Localization,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 0e8defaafbbde9031fb2942eccaf980b2f20f04e,Regenerative morphing,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, 0e8defaafbbde9031fb2942eccaf980b2f20f04e,Regenerative morphing,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, @@ -9722,23 +11960,29 @@ b285337ba61c2bb54181dbbb4f4863efe1aa6ec2,Realtime 3D eye gaze animation using a 0e1403f2182609fb64ed72913f7294fea7d02bd6,Learning Support Vectors for Face Verification and Recognition,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, 0e9f55c0ff758a91c6764f833b14b09ca788db20,Locality preserving hashing,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 0e5d673111e398f6c083623e31c2f498f0bf7b5f,Resolving References to Objects in Photographs using the Words-As-Classifiers Model,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu, +0ee59e5baed4271ab85c85332550ca1539733a19,Atypical Modulations of N170 Component during Emotional Processing and Their Links to Social Behaviors in Ex-combatants,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0ee59e5baed4271ab85c85332550ca1539733a19,Atypical Modulations of N170 Component during Emotional Processing and Their Links to Social Behaviors in Ex-combatants,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, 0ee59e5baed4271ab85c85332550ca1539733a19,Atypical Modulations of N170 Component during Emotional Processing and Their Links to Social Behaviors in Ex-combatants,Maastricht University,Maastricht University,"UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland",50.83367120,5.71589000,edu, 0ee59e5baed4271ab85c85332550ca1539733a19,Atypical Modulations of N170 Component during Emotional Processing and Their Links to Social Behaviors in Ex-combatants,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, 0e1f6abdd24a4e929511740168e2f67351751302,Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 0e1f6abdd24a4e929511740168e2f67351751302,Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, 0e62b741d4421b284cc6a27cea0b1e95b799882e,Forest Walk Methods for Localizing Body Joints from Single Depth Image,Hankuk University of Foreign Studies,Hankuk University of Foreign Studies,"외대앞, 휘경로, 이문동, 이문2동, 동대문구, 서울특별시, 02407, 대한민국",37.59539790,127.06304990,edu, 0e62b741d4421b284cc6a27cea0b1e95b799882e,Forest Walk Methods for Localizing Body Joints from Single Depth Image,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu, +0ebd83e838dcd5827329c65d1ccc260e7aa7b5fe,Sufficient Dimensionality Reduction with Irrelevant Statistics,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu, 0e2af97f07625cb3cf5e30f1c9d807124cbbc850,From Large Scale Image Categorization to Entry-Level Categories,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, +0ee737085af468f264f57f052ea9b9b1f58d7222,SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0ef0db6b7bf2244459497a3bf24e56c7850cf369,Weakly Supervised Phrase Localization with Multi-Scale Anchored Transformer Network,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 0e9ea74cf7106057efdb63f275ca6bb838168b0c,Progressive Principal Component Analysis,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +0e9ea74cf7106057efdb63f275ca6bb838168b0c,Progressive Principal Component Analysis,China,China,China,35.86166000,104.19539700,edu, 0e9ea74cf7106057efdb63f275ca6bb838168b0c,Progressive Principal Component Analysis,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 0ee3aa2a78f9680bb65a823bd9195c879572ec1c,What Makes an Object Memorable?,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 0ee3aa2a78f9680bb65a823bd9195c879572ec1c,What Makes an Object Memorable?,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 0ee3aa2a78f9680bb65a823bd9195c879572ec1c,What Makes an Object Memorable?,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, -0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, -0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, 0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Tech Carilion Research Institute,Virginia Tech Carilion Research Institute,"Virginia Tech Carilion Research Institute, South Jefferson Street, Crystal Spring, Roanoke, Virginia, 24016, USA",37.25795480,-79.94233291,edu, -0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +0ec0fc9ed165c40b1ef4a99e944abd8aa4e38056,The Role of Perspective-Taking on Ability to Recognize Fear,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +0e25527a7df08c8cda5e86c7a255806289b0ff64,Automatic Eye Detection using Fast Corner Detector of North East Indian ( NEI ) Face Images,India,India,India,20.59368400,78.96288000,edu, 0e25527a7df08c8cda5e86c7a255806289b0ff64,Automatic Eye Detection using Fast Corner Detector of North East Indian ( NEI ) Face Images,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, 0e8f56d7e0b639e182d1d9693b79653cfd98aaa3,Auto-colorization Exploiting Annotated Dataset,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 0e312aee6b03a697d112a1bd8d25d84d1a122d8e,An inner-loop free solution to inverse problems using deep neural networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -9746,13 +11990,24 @@ b285337ba61c2bb54181dbbb4f4863efe1aa6ec2,Realtime 3D eye gaze animation using a 0e312aee6b03a697d112a1bd8d25d84d1a122d8e,An inner-loop free solution to inverse problems using deep neural networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 0e312aee6b03a697d112a1bd8d25d84d1a122d8e,An inner-loop free solution to inverse problems using deep neural networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,China,China,China,35.86166000,104.19539700,edu, +0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,China,China,China,35.86166000,104.19539700,edu, +0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,China,China,China,35.86166000,104.19539700,edu, +0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,China,China,China,35.86166000,104.19539700,edu, +0e4c87100aa7f585ccd969aa71dd5dfdf26e732d,Laplacian regularized low rank subspace clustering,China,China,China,35.86166000,104.19539700,edu, 0ea38a5ba0c8739d1196da5d20efb13406bb6550,Relative attributes,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 0e73d2b0f943cf8559da7f5002414ccc26bc77cd,Similarity Comparisons for Interactive Fine-Grained Categorization,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +0e73d2b0f943cf8559da7f5002414ccc26bc77cd,Similarity Comparisons for Interactive Fine-Grained Categorization,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 0e73d2b0f943cf8559da7f5002414ccc26bc77cd,Similarity Comparisons for Interactive Fine-Grained Categorization,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 0e64a202a673ebb9265d600d97c2ccff8acf64c9,Side-View Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +0e7fdc0b03a1481b2fa1b5d592125f41b6cb7ad7,Dual CNN Models for Unsupervised Monocular Depth Estimation,India,India,India,20.59368400,78.96288000,edu, 0ee5c4112208995bf2bb0fb8a87efba933a94579,Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 0e41758075d91e58412f012c2d03531c5baf7cdc,Visual category recognition using Spectral Regression and Kernel Discriminant Analysis,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 0e41758075d91e58412f012c2d03531c5baf7cdc,Visual category recognition using Spectral Regression and Kernel Discriminant Analysis,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +0ed78b9562661c550e382ed30de252d877a04cdc,An Evaluation of Video-to-Video Face Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0ed78b9562661c550e382ed30de252d877a04cdc,An Evaluation of Video-to-Video Face Verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0ea0f6842b759c7a51c462a7c6d3f2505ba6ea3b,Fuzzy Pattern-Based with Laplacianfaces Biometric Pattern Matching Algorithm for Face Recognition,India,India,India,20.59368400,78.96288000,edu, +0ea0f6842b759c7a51c462a7c6d3f2505ba6ea3b,Fuzzy Pattern-Based with Laplacianfaces Biometric Pattern Matching Algorithm for Face Recognition,India,India,India,20.59368400,78.96288000,edu, 0ec1673609256b1e457f41ede5f21f05de0c054f,Blessing of Dimensionality: High-Dimensional Feature and Its Efficient Compression for Face Verification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 0ea7b7fff090c707684fd4dc13e0a8f39b300a97,Integrated Face Analytics Networks through Cross-Dataset Hybrid Training,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 0ea7b7fff090c707684fd4dc13e0a8f39b300a97,Integrated Face Analytics Networks through Cross-Dataset Hybrid Training,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, @@ -9761,13 +12016,19 @@ b285337ba61c2bb54181dbbb4f4863efe1aa6ec2,Realtime 3D eye gaze animation using a 0e0fbead3da9e16b03894b63efc6816fa3ef6d0e,Open-vocabulary Phrase Detection,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 0e2e4b2deee91884d6da21c06e609b1f61270f70,How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu, 0e665e650c8ef1381cf1ff01f3b14ee7ce2f2595,Robust Optical Flow Computation Under Varying Illumination Using Rank Transform,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, +0e665e650c8ef1381cf1ff01f3b14ee7ce2f2595,Robust Optical Flow Computation Under Varying Illumination Using Rank Transform,China,China,China,35.86166000,104.19539700,edu, +0e665e650c8ef1381cf1ff01f3b14ee7ce2f2595,Robust Optical Flow Computation Under Varying Illumination Using Rank Transform,China,China,China,35.86166000,104.19539700,edu, +0e23229289b1fbea14bc425718bc0a227d100b8e,Survey of Recent Advances in Visual Question Answering,India,India,India,20.59368400,78.96288000,edu, +0e23229289b1fbea14bc425718bc0a227d100b8e,Survey of Recent Advances in Visual Question Answering,India,India,India,20.59368400,78.96288000,edu, 0e0179eb4b43016691f0f1473a08089dda21f8f0,The Art of Detection,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 0e7d8ae484d8a0ecf65855dad9e7514730b4e07f,Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +0e7d8ae484d8a0ecf65855dad9e7514730b4e07f,Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 0e7d8ae484d8a0ecf65855dad9e7514730b4e07f,Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 0ec67c69e0975cfcbd8ba787cc0889aec4cc5399,Locating Salient Object Features,Manchester University,Manchester University,"Manchester Metropolitan University – All Saints Campus, Lower Ormond Street, Hulme, Manchester, Greater Manchester, North West England, England, M15 6BX, UK",53.47020165,-2.23932183,edu, 0ebc50b6e4b01eb5eba5279ce547c838890b1418,Similarity-Preserving Binary Signature for Linear Subspaces,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 0ebc50b6e4b01eb5eba5279ce547c838890b1418,Similarity-Preserving Binary Signature for Linear Subspaces,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 0ebc50b6e4b01eb5eba5279ce547c838890b1418,Similarity-Preserving Binary Signature for Linear Subspaces,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, +0ec0b35b95f1770887844687f0718924066b1f85,Adaptive Image Denoising by Targeted Databases,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0e950d7ad2282d49e8cada91d5d6b50b42a23979,Attribute Recognition by Joint Recurrent Learning of Context and Correlation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 0ee7990e2ae054aab5f1fc08670fe5eddb96fb19,Temporal attention filters for human activity recognition in videos,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 0ec03a13063e5811ec9461cf7af04f4f3110ccaa,Visual Question Answering with Question Representation Update (QRU),Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -9782,26 +12043,34 @@ b285337ba61c2bb54181dbbb4f4863efe1aa6ec2,Realtime 3D eye gaze animation using a 0ee7883f778076c6d8a14a115114a3d9ef830fc1,Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 0ee7883f778076c6d8a14a115114a3d9ef830fc1,Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 0eea197144b631b33857821559886b6ea063b68c,Robust Multi-resolution Pedestrian Detection in Traffic Scenes,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +0e21c9e5755c3dab6d8079d738d1188b03128a31,Constrained Clustering and Its Application to Face Clustering in Videos,China,China,China,35.86166000,104.19539700,edu, 0e21c9e5755c3dab6d8079d738d1188b03128a31,Constrained Clustering and Its Application to Face Clustering in Videos,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, +0e95f68171b27621a39e393afb7c74ef1506fe85,CONTENT BASED IMAGE RETRIEVAL USING ENHANCED LOCAL TETRA PATTERNS,India,India,India,20.59368400,78.96288000,edu, +0e95f68171b27621a39e393afb7c74ef1506fe85,CONTENT BASED IMAGE RETRIEVAL USING ENHANCED LOCAL TETRA PATTERNS,India,India,India,20.59368400,78.96288000,edu, 0e1a18576a7d3b40fe961ef42885101f4e2630f8,Automated Detection and Identification of Persons in Video,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 0e1983e9d0e8cb4cbffef7af06f6bc8e3f191a64,Estimating illumination parameters in real space with application to image relighting,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +0ee661a1b6bbfadb5a482ec643573de53a9adf5e,On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0ec2049a1dd7ae14c7a4c22c5bcd38472214f44d,Fast Subspace Search via Grassmannian Based Hashing,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 0ec2049a1dd7ae14c7a4c22c5bcd38472214f44d,Fast Subspace Search via Grassmannian Based Hashing,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 0ec2049a1dd7ae14c7a4c22c5bcd38472214f44d,Fast Subspace Search via Grassmannian Based Hashing,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 0e923b74fd41f73f57e22f66397feeea67e834f0,Invariant encoding schemes for visual recognition,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 0ee91554aedcb2cc4e2d2a15eb07eed1bbbac2c2,Fast Energy Minimization Using Learned State Filters,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66,Cognitive Learning for Social Robot through Facial Expression from Video Input,India,India,India,20.59368400,78.96288000,edu, e97d824b8e80670d49d53c402f99e0fbeaafacdb,Neural Best-Buddies: Sparse Cross-Domain Correspondence,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, e97d824b8e80670d49d53c402f99e0fbeaafacdb,Neural Best-Buddies: Sparse Cross-Domain Correspondence,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, e97d824b8e80670d49d53c402f99e0fbeaafacdb,Neural Best-Buddies: Sparse Cross-Domain Correspondence,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, e97d824b8e80670d49d53c402f99e0fbeaafacdb,Neural Best-Buddies: Sparse Cross-Domain Correspondence,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, +e9ae8bbfec913300eedede3ec48acb56c15ebdea,DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild,India,India,India,20.59368400,78.96288000,edu, e9f1cdd9ea95810efed306a338de9e0de25990a0,FEPS : An Easy-to-Learn Sensory Substitution System to Perceive Facial Expressions,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, e9f1cdd9ea95810efed306a338de9e0de25990a0,FEPS : An Easy-to-Learn Sensory Substitution System to Perceive Facial Expressions,University of Memphis,University of Memphis,"The University of Memphis, Desoto Avenue, Memphis, Shelby County, Tennessee, 38152, USA",35.11893870,-89.93721960,edu, e9ccd438d6d55ba0d11a63eb95c773d63b3ea4e5,Will you remember me ? Cultural differences in own-group face recognition biases ☆,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, e9bb045e702ee38e566ce46cc1312ed25cb59ea7,Integrating Geometric and Textural Features for Facial Emotion Classification Using SVM Frameworks,Indian Institute of Technology Roorkee,"Indian Institute of Technology, Roorkee","Indian Institute of Technology (IIT), Roorkee, LBS Jogging Track, Roorkee, Haridwar, Uttarakhand, 247667, India",29.86624610,77.89587081,edu, e9bb045e702ee38e566ce46cc1312ed25cb59ea7,Integrating Geometric and Textural Features for Facial Emotion Classification Using SVM Frameworks,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +e96a3d4df7f6956ba185107747c3d7c16d1ed845,Unite the People: Closing the Loop Between 3D and 2D Human Representations,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, e912481d2d885244b1c72e5d74932429394a5789,Adaptive Appearance Rendering,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, e97f4151b67e0569df7e54063d7c198c911edbdc,A New Information Fusion Method for Bimodal Robotic Emotion Recognition,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, e9f4624cc9c2d7e1b9fa2545982e7678b9a5aaae,Dynamic-structured Semantic Propagation Network,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +e94804b7f2515740671a678239eccdb79a050272,Generating a Fusion Image: One's Identity and Another's Shape,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, e9dd56abd8244dc58206a5dde6a4133310c6586f,Multiclient Identification System Using Adaptive Probabilistic Model,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, e9c008d31da38d9eef67a28d2c77cb7daec941fb,Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, e9c008d31da38d9eef67a28d2c77cb7daec941fb,Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, @@ -9810,6 +12079,7 @@ e9835bb131287d711e5e5435a5df8ce5302acb31,Person Re-identification by Unsupervise e984017c5849ea78e3f50e374a5539770989536d,Bilinear Discriminant Analysis for Face Recognition,École Centrale de Lyon,Laboratoire LIRIS,"40 Avenue Guy de Collongue, 69130 Écully, France",45.78359660,4.76789480,edu, e9b8f2ee742b32ae272c950cc6fa2d5a2d05f028,Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery,Vrije Universiteit Brussel,Vrije Universiteit Brussel,"Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, Région de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, België / Belgique / Belgien",50.84110070,4.32377555,edu, e9b8f2ee742b32ae272c950cc6fa2d5a2d05f028,Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +e9b8f2ee742b32ae272c950cc6fa2d5a2d05f028,Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery,China,China,China,35.86166000,104.19539700,edu, e9c2b7677660820019ac5fe0fff9ac3409555b63,Multi-Entity Bayesian Networks for Knowledge-Driven Analysis of ICH Content,Information Technologies Institute,Information Technologies Institute,"公益財団法人九州先端科学技術研究所, Fukuoka SRP Center Building 7F, 百道ランプ下り入り口, 早良区, 福岡市, 福岡県, 九州地方, 814-0001, 日本",33.59345390,130.35578370,edu, e9ba629fd9533131735e2305929faf0c2c46538b,Holistic and Feature-based Information Towards Dynamic Multi-expressions Recognition,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, e90e23a757c346170df4f403d0c18bcea2874ed7,Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, @@ -9823,18 +12093,23 @@ e959a426d02dd014c1346131ac38ed50114c17b7,A Focused Dynamic Attention Model for V e981661e6dd43e23cd5e046aaf66aebce4bc0318,DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, e94dfdc5581f6bc0338e21ad555b5f1734f8697e,Learning to Anonymize Faces for Privacy Preserving Action Detection,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, e996da9beadff6f6694540c6b1794312f814dbae,Age and gender classification from ear images,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, +e9dc096762f503cfe0d56066c02d27082665b3cf,Face Sketch to Photo Matching Using LFDA,India,India,India,20.59368400,78.96288000,edu, +e9dc096762f503cfe0d56066c02d27082665b3cf,Face Sketch to Photo Matching Using LFDA,India,India,India,20.59368400,78.96288000,edu, e90a925fea8456718527a73a3621fba9b848de28,D Eep L Earning with S Ets and P Oint C Louds,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, -e985e7ec130ce4552222d7fb4b2d2f923fd2a501,Orthogonal and Idempotent Transformations for Learning Deep Neural Networks,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +e985e7ec130ce4552222d7fb4b2d2f923fd2a501,Orthogonal and Idempotent Transformations for Learning Deep Neural Networks,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, e985e7ec130ce4552222d7fb4b2d2f923fd2a501,Orthogonal and Idempotent Transformations for Learning Deep Neural Networks,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, e9a8a88b47d0bc20579f39eba1c380b07edc244f,Effects of the Facial and Racial Features on Gender Classification,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, e9bbe558c73de60e40ce2bd8c7cb7a47dacfe594,Can White children grow up to be Black? Children's reasoning about the stability of emotion and race.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, e9bbe558c73de60e40ce2bd8c7cb7a47dacfe594,Can White children grow up to be Black? Children's reasoning about the stability of emotion and race.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, e9e40e588f8e6510fa5537e0c9e083ceed5d07ad,Fast Face Detection Using Graphics Processor,"National Institute of Technology, Karnataka",National Institute of Technology Karnataka,"National Institute of Technology, Karnataka, NH66, ದಕ್ಷಿಣ ಕನ್ನಡ, Mangaluru taluk, Dakshina Kannada, Karnataka, 575025, India",13.01119095,74.79498825,edu, +e9e40e588f8e6510fa5537e0c9e083ceed5d07ad,Fast Face Detection Using Graphics Processor,India,India,India,20.59368400,78.96288000,edu, e93a65ff1c7c29736cef5701f079f75ecfb76f5f,From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category.,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, e9a5a38e7da3f0aa5d21499149536199f2e0e1f7,A Bayesian Scene-Prior-Based Deep Network Model for Face Verification,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, e9a5a38e7da3f0aa5d21499149536199f2e0e1f7,A Bayesian Scene-Prior-Based Deep Network Model for Face Verification,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 5418242dafa134e6021a30ecc8c566ac83823b56,Disentangled Person Image Generation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 54171243dfae9d7343c78026c9b94004df3853bb,"ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification",Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, @@ -9843,8 +12118,12 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific 541d69fdf97e5ded611ad0dd46f62bb9d2e19a51,Exemplar Driven Character Recognition in the Wild,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 541d69fdf97e5ded611ad0dd46f62bb9d2e19a51,Exemplar Driven Character Recognition in the Wild,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 54d97ea9a5f92761dddd148fb0e602c2293e7c16,Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +54d97ea9a5f92761dddd148fb0e602c2293e7c16,Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, +54d97ea9a5f92761dddd148fb0e602c2293e7c16,Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 54d97ea9a5f92761dddd148fb0e602c2293e7c16,Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, 545388d4a8e79cab605cea9b3e1ff1da0f848f8e,Fast Online Upper Body Pose Estimation from Video,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, +545388d4a8e79cab605cea9b3e1ff1da0f848f8e,Fast Online Upper Body Pose Estimation from Video,China,China,China,35.86166000,104.19539700,edu, +545388d4a8e79cab605cea9b3e1ff1da0f848f8e,Fast Online Upper Body Pose Estimation from Video,China,China,China,35.86166000,104.19539700,edu, 544c06584c95bfdcafbd62e04fb796e575981476,Human Identification from Body Shape,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, 545600c4926bdb5ac348c3a733db7776392906c8,"Subset Modelling of Face Localization Error , Occlusion , and Expression",Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, 54abfe3acd987b5041878c29ec74204a11e73ad1,Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, @@ -9852,12 +12131,14 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific 54abfe3acd987b5041878c29ec74204a11e73ad1,Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 5495e224ac7b45b9edc5cfeabbb754d8a40a879b,Feature Reconstruction Disentangling for Pose-invariant Face Recognition Supplementary Material,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, 543d276a665d11a74f925198ee7c37a6e52b0298,Immediate Structured Visual Search for Medical Images,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, -543d276a665d11a74f925198ee7c37a6e52b0298,Immediate Structured Visual Search for Medical Images,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +543d276a665d11a74f925198ee7c37a6e52b0298,Immediate Structured Visual Search for Medical Images,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 545dc167a4879ce2d61836cb300479c305f8e096,Event-Centric Twitter Photo Summarization by MASSACHUSETTIS 17,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 54c28bf64debbdb21c246795182f97d4f7917b74,STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 54b16b233e6130354e7d3f0d001cc5491f85e998,Real-time fMRI-based neurofeedback in depression,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, 546cbbb897022096511f6a71259e3b99c558224d,PCA vs. ICA: A Comparison on the FERET Data Set,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, 541f1436c8ffef1118a0121088584ddbfd3a0a8a,A Spatio-temporal Feature Based on Triangulation of Dense SURF,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, +54801c260df5221a9de533d371d3edcc358b4050,On Combining Classifiers,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +54dae5187de3898d8034719bcaa3e0100ae72d76,Probabilistic Attributed Hashing,China,China,China,35.86166000,104.19539700,edu, 5484ad04ac0a256b51fd1a3eae48483480862ab1,A survey on ear biometrics,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, 5484ad04ac0a256b51fd1a3eae48483480862ab1,A survey on ear biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 5484ad04ac0a256b51fd1a3eae48483480862ab1,A survey on ear biometrics,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, @@ -9872,10 +12153,13 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific 54bb25a213944b08298e4e2de54f2ddea890954a,"AgeDB: The First Manually Collected, In-the-Wild Age Database",Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu, 54bb25a213944b08298e4e2de54f2ddea890954a,"AgeDB: The First Manually Collected, In-the-Wild Age Database",Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 54ffc4c83974d5915025f80e54e350cd30ef96d7,Sparse dictionary-based representation and recognition of action attributes,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +54aacc196ffe49b3450059fccdf7cd3bb6f6f3c3,A joint learning framework for attribute models and object descriptions,India,India,India,20.59368400,78.96288000,edu, 54568bdce3405ffbe2a6f5820711f966e2d2faf3,How Do We Update Faces? Effects of Gaze Direction and Facial Expressions on Working Memory Updating,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 54c5fad54492650f6eccb90bafcab8c2b779ee2f,Real-time text tracking in natural scenes,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, 540831094fd9b80469c8dacb9320b7e342b50e03,Emotion Recognition in Speech using Cross-Modal Transfer in the Wild,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 5489f0a7e4ac405ce99f638097897bc45fcf805e,Research on Lossless Compression Algorithms of Low Resolution Palmprint Images,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, +5489f0a7e4ac405ce99f638097897bc45fcf805e,Research on Lossless Compression Algorithms of Low Resolution Palmprint Images,China,China,China,35.86166000,104.19539700,edu, +5489f0a7e4ac405ce99f638097897bc45fcf805e,Research on Lossless Compression Algorithms of Low Resolution Palmprint Images,China,China,China,35.86166000,104.19539700,edu, 54948ee407b5d32da4b2eee377cc44f20c3a7e0c,Right for the Right Reason: Training Agnostic Networks,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, 5417bd72d1b787ade0c485f1188189474c199f4d,MAGAN: Margin Adaptation for Generative Adversarial Networks,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 54a9ed950458f4b7e348fa78a718657c8d3d0e05,Learning Neural Models for End-to-End Clustering,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu, @@ -9890,12 +12174,25 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific 544519fa0794d41a04307973156016b6c679ffa5,Switchable Deep Network for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 544519fa0794d41a04307973156016b6c679ffa5,Switchable Deep Network for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 544519fa0794d41a04307973156016b6c679ffa5,Switchable Deep Network for Pedestrian Detection,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, -8ba606d7667c50054d74083867230abbed755574,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -8ba606d7667c50054d74083867230abbed755574,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +8ba606d7667c50054d74083867230abbed755574,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +8ba606d7667c50054d74083867230abbed755574,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 8bf243817112ac0aa1348b40a065bb0b735cdb9c,Learning a Repression Network for Precise Vehicle Search,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +8bf243817112ac0aa1348b40a065bb0b735cdb9c,Learning a Repression Network for Precise Vehicle Search,China,China,China,35.86166000,104.19539700,edu, +8bf57dc0dd45ed969ad9690033d44af24fd18e05,Subject-Independent Emotion Recognition from Facial Expressions using a Gabor Feature RBF Neural Classifier Trained with Virtual Samples Generated by Concurrent Self-Organizing Maps,Romania,Romania,Romania,45.94316100,24.96676000,edu, 8b5d28aaf2c6d9621329f5dde0bf3f8f410e0d66,One month in the life of a neuron: longitudinal single-unit electrophysiology in the monkey visual system.,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu, 8b5d28aaf2c6d9621329f5dde0bf3f8f410e0d66,One month in the life of a neuron: longitudinal single-unit electrophysiology in the monkey visual system.,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu, 8b5d28aaf2c6d9621329f5dde0bf3f8f410e0d66,One month in the life of a neuron: longitudinal single-unit electrophysiology in the monkey visual system.,National Institutes of Health,National Institutes of Health,"NIH, Pooks Hill, Bethesda, Montgomery County, Maryland, USA",39.00041165,-77.10327775,edu, +8b8b3375bc51ae357528a1f015c4d094418c9f71,"An Efficient Feature Extraction Method , Global Between Maximum and Local Within Minimum , and Its Applications",China,China,China,35.86166000,104.19539700,edu, +8b8b3375bc51ae357528a1f015c4d094418c9f71,"An Efficient Feature Extraction Method , Global Between Maximum and Local Within Minimum , and Its Applications",China,China,China,35.86166000,104.19539700,edu, +8b26744e11e5f226f187bf903b88933c5b0fcdc0,Cost-Effective Class-Imbalance Aware CNN for Vehicle Localization and Categorization in High Resolution Aerial Images,China,China,China,35.86166000,104.19539700,edu, 8bd42c1bbeeeaf694999295e98ff04e978a3c295,Fusion of Facial Regions Using Color Information in a Forensic Scenario,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu, 8b8458d4b06b5f681ff0248e02929b216d2f7582,Real-time object tracking and human face detection in cluttered scenes,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 8beba00174b9db3d45dd46d9cbd76f64ceec550e,Domain Randomization for Scene-Specific Car Detection and Pose Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -9903,11 +12200,13 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific 8b2064a6a535cd2b49e348560c4f9e2c3a8f4748,A Method Based on Convex Cone Model for Image-Set Classification With CNN Features,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, 8bf05e179d50def46b008147fd3cce6c582a542f,Marginalizing Corrupted Features,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 8b61fdc47b5eeae6bc0a52523f519eaeaadbc8c8,Temporal Perceptive Network for Skeleton-Based Action Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +8b61fdc47b5eeae6bc0a52523f519eaeaadbc8c8,Temporal Perceptive Network for Skeleton-Based Action Recognition,China,China,China,35.86166000,104.19539700,edu, 8bf4b09d9e5667b65336d71d7d917eab5fc26fbe,Unsupervised Learning of Object Landmarks through Conditional Image Generation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 8bf4b09d9e5667b65336d71d7d917eab5fc26fbe,Unsupervised Learning of Object Landmarks through Conditional Image Generation,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 8b6fded4d08bf0b7c56966b60562ee096af1f0c4,A Neural Network based Facial Expression Recognition using Fisherface,Semarang State University,Semarang State University,"Mandiri University, Jalan Tambora, RW 10, Tegalsari, Candisari, Semarang, Jawa Tengah, 50252, Indonesia",-7.00349485,110.41774949,edu, 8b68db1af010f36f7e9d174d6ca0fcb24c1049ee,Part I : Computation of Invariant Representations in Visual Cortex and in Deep Convolutional Architectures,McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu, 8b68db1af010f36f7e9d174d6ca0fcb24c1049ee,Part I : Computation of Invariant Representations in Visual Cortex and in Deep Convolutional Architectures,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +8b68db1af010f36f7e9d174d6ca0fcb24c1049ee,Part I : Computation of Invariant Representations in Visual Cortex and in Deep Convolutional Architectures,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 8bed7ff2f75d956652320270eaf331e1f73efb35,Emotion recognition in the wild using deep neural networks and Bayesian classifiers,University of Calabria,"Modeling, Electronics, and Systems, University of Calabria, Rende, Italy","Via Pietro Bucci, 87036 Arcavacata, Rende CS, Italy",39.36502160,16.22571770,edu, 8bed7ff2f75d956652320270eaf331e1f73efb35,Emotion recognition in the wild using deep neural networks and Bayesian classifiers,Plymouth University,Plymouth University,"Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37552690,-4.13937687,edu, 8bed7ff2f75d956652320270eaf331e1f73efb35,Emotion recognition in the wild using deep neural networks and Bayesian classifiers,University of Calabria,"Modeling, Electronics, and Systems, University of Calabria, Rende, Italy","Via Pietro Bucci, 87036 Arcavacata, Rende CS, Italy",39.36502160,16.22571770,edu, @@ -9917,6 +12216,8 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific 8b38124ff02a9cf8ad00de5521a7f8a9fa4d7259,Real-time 3 D Face Fitting and Texture Fusion on Inthe-wild Videos,Reutlingen University,Reutlingen University,"Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72762, Deutschland",48.48187645,9.18682404,edu, 8b266e68cc71f98ee42b04dc8f3e336c47f199cb,Learning Face Age Progression: A Pyramid Architecture of GANs,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 8b266e68cc71f98ee42b04dc8f3e336c47f199cb,Learning Face Age Progression: A Pyramid Architecture of GANs,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +8bda09b2fb85c317c6361aee1935bcbcf87c1c70,Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution,India,India,India,20.59368400,78.96288000,edu, +8bda09b2fb85c317c6361aee1935bcbcf87c1c70,Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution,India,India,India,20.59368400,78.96288000,edu, 8b46df5e851e819473a726503a543a95e130e33d,The Role of Supervision and Geometry in Categorization,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 8bad9d970664d4a9874ea71de9cc7b4360ba04ab,Person Independent Facial Expression Recognition Using 3D Facial Feature Positions,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, 8b001d2e366148cf66eea812f11c6cde9c88d852,CASNSC : A context-based approach for accurate pedestrian motion prediction at intersections,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -9939,9 +12240,11 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific 8bbbdff11e88327816cad3c565f4ab1bb3ee20db,Automatic Semantic Face Recognition Nawaf,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 8befcd91c24038e5c26df0238d26e2311b21719a,A Joint Sequence Fusion Model for Video Question Answering and Retrieval,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 8b30259a8ab07394d4dac971f3d3bd633beac811,Representing Sets of Instances for Visual Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +8b30259a8ab07394d4dac971f3d3bd633beac811,Representing Sets of Instances for Visual Recognition,China,China,China,35.86166000,104.19539700,edu, 8b2d224c8b69191c02dce750257c39d46b1c4a7b,A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 8b2d224c8b69191c02dce750257c39d46b1c4a7b,A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 8b9377ead9b05d0e5d86f7092ce5084841c146a4,Asking for Help with the Right Question by Predicting Human Visual Performance,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +8bf647fed40bdc9e35560021636dfb892a46720e,Learning to hash-tag videos with Tag2Vec,"CVIT, KCIS, IIIT Hyderabad, India","CVIT, KCIS, IIIT Hyderabad, India","IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India",17.44509810,78.34976780,edu, 8b2704a5218a6ef70e553eaf0a463bd55129b69d,Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, 8b724754d7c7d7e5f98c1982b144fddb66add843,Incremental Attribute-based Zero-shot Learning,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 8bfada57140aa1aa22a575e960c2a71140083293,Can we match Ultraviolet Face Images against their Visible Counterparts ?,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, @@ -9959,16 +12262,21 @@ e9f82ce15b332767c0d9e6326e46bdd6a15fc689,Deep Low-Resolution Person Re-Identific 8b0af7d056e7e8a5ef2bf1278fa0740771e23401,Correntropy Induced L2 Graph for Robust Subspace Clustering,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 8b0af7d056e7e8a5ef2bf1278fa0740771e23401,Correntropy Induced L2 Graph for Robust Subspace Clustering,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 8b0af7d056e7e8a5ef2bf1278fa0740771e23401,Correntropy Induced L2 Graph for Robust Subspace Clustering,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +b7207c142b0b9f4def3ae7cd07ce50ca31d930e8,Human Age Group Prediction from Unknown Facial Image 1,India,India,India,20.59368400,78.96288000,edu, +b7207c142b0b9f4def3ae7cd07ce50ca31d930e8,Human Age Group Prediction from Unknown Facial Image 1,India,India,India,20.59368400,78.96288000,edu, +b76ddd8e9098c4b361ef72ddaef42bf3c85f5825,Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach,China,China,China,35.86166000,104.19539700,edu, +b76ddd8e9098c4b361ef72ddaef42bf3c85f5825,Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach,China,China,China,35.86166000,104.19539700,edu, +b76ddd8e9098c4b361ef72ddaef42bf3c85f5825,Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach,China,China,China,35.86166000,104.19539700,edu, b76ddd8e9098c4b361ef72ddaef42bf3c85f5825,Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, b73ba189d0d1a3e2502716fee60c6865a7964d6e,Towards Open-Universe Image Parsing with Broad Coverage,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu, b73ba189d0d1a3e2502716fee60c6865a7964d6e,Towards Open-Universe Image Parsing with Broad Coverage,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, b73d9e1af36aabb81353f29c40ecdcbdf731dbed,Head Pose Estimation on Top of Haar-Like Face Detection: A Study Using the Kinect Sensor,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, b755e80ce1985fc300e1983adefc8f14830702c4,"Totally Looks Like - How Humans Compare, Compared to Machines",York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, b711d50a6c467f3db266f2199a9031f7391b184f,Deep Multi-Modal Image Correspondence Learning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, -b711d50a6c467f3db266f2199a9031f7391b184f,Deep Multi-Modal Image Correspondence Learning,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +b711d50a6c467f3db266f2199a9031f7391b184f,Deep Multi-Modal Image Correspondence Learning,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, b7e701df99735efe86a51b1e0740ad06aabdd67a,Color Effect on the Face Recognition with Spatial Resolution Constraints,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, b7676adde75c6d1bcabf56c7e2f7fa484155e8a8,ChaLearn Looking at People Challenge 2014: Dataset and Results,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, -b7676adde75c6d1bcabf56c7e2f7fa484155e8a8,ChaLearn Looking at People Challenge 2014: Dataset and Results,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +b7676adde75c6d1bcabf56c7e2f7fa484155e8a8,ChaLearn Looking at People Challenge 2014: Dataset and Results,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, b7c5f885114186284c51e863b58292583047a8b4,GAdaBoost: Accelerating Adaboost Feature Selection with Genetic Algorithms,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, b7c8452ac9791563d9a739bd079b05e518b20aea,Web Video in Numbers - An Analysis of Web-Video Metadata,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, b73d82be8270db40577b002789a26e4a226df1ef,Lessons Learned in Multilingual Grounded Language Learning,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu, @@ -9976,21 +12284,28 @@ b7bc85b4f6a186e01365dd42993029ea06909c8f,"Pedestrian Detection , Tracking and Re b7407b2ea67b8c82246f013f4966c4cac1507e60,Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks,Jilin University,Jilin University,"吉林大学珠海校区, 丹桂路, 圣堂村, 金湾区, 珠海市, 广东省, 中国",22.05356500,113.39913285,edu, b7407b2ea67b8c82246f013f4966c4cac1507e60,Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, b78e611c32dc0daf762cfa93044558cdb545d857,Temporal Action Detection with Structured Segment Networks Supplementary Materials,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +b7894c1f805ffd90ab4ab06002c70de68d6982ab,A comprehensive age estimation on face images using hybrid filter based feature extraction,India,India,India,20.59368400,78.96288000,edu, +b7894c1f805ffd90ab4ab06002c70de68d6982ab,A comprehensive age estimation on face images using hybrid filter based feature extraction,India,India,India,20.59368400,78.96288000,edu, b7cff2a6fb3861f36bc779984b312ebae9f1f365,On Learning Associations of Faces and Voices,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, b750b3d8c34d4e57ecdafcd5ae8a15d7fa50bc24,Unified Solution to Nonnegative Data Factorization Problems,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, b750b3d8c34d4e57ecdafcd5ae8a15d7fa50bc24,Unified Solution to Nonnegative Data Factorization Problems,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, b7820f3d0f43c2ce613ebb6c3d16eb893c84cf89,Visual Data Synthesis via GAN for Zero-Shot Video Classification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +b7820f3d0f43c2ce613ebb6c3d16eb893c84cf89,Visual Data Synthesis via GAN for Zero-Shot Video Classification,China,China,China,35.86166000,104.19539700,edu, b7426836ca364603ccab0e533891d8ac54cf2429,A Review on Human Activity Recognition Using Vision-Based Method,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu, b7426836ca364603ccab0e533891d8ac54cf2429,A Review on Human Activity Recognition Using Vision-Based Method,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, b76d6bb7aef87d03b6de039f01d3dba9224834b6,Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, b75c93c70e8534553006c084ddc72de39517ded4,Learnable Pooling Regions for Image Classification,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, b75c93c70e8534553006c084ddc72de39517ded4,Learnable Pooling Regions for Image Classification,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +b730908bc1f80b711c031f3ea459e4de09a3d324,Active Orientation Models for Face Alignment In-the-Wild,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b769007cb6931464168f63ebb4571e46d8c804b7,Human Pose Estimation and Activity Classification Using Convolutional Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, b769007cb6931464168f63ebb4571e46d8c804b7,Human Pose Estimation and Activity Classification Using Convolutional Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, b787113305ddef424def20920b8b098c7f18bd98,Sensor-Based Detection Approach for Passenger Flow Safety in Chinese High-speed Railway Transport Hub,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +b787113305ddef424def20920b8b098c7f18bd98,Sensor-Based Detection Approach for Passenger Flow Safety in Chinese High-speed Railway Transport Hub,China,China,China,35.86166000,104.19539700,edu, b73795963dc623a634d218d29e4a5b74dfbc79f1,Identity Preserving Face Completion for Large Ocular Region Occlusion,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, b73795963dc623a634d218d29e4a5b74dfbc79f1,Identity Preserving Face Completion for Large Ocular Region Occlusion,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, b73795963dc623a634d218d29e4a5b74dfbc79f1,Identity Preserving Face Completion for Large Ocular Region Occlusion,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +b73795963dc623a634d218d29e4a5b74dfbc79f1,Identity Preserving Face Completion for Large Ocular Region Occlusion,China,China,China,35.86166000,104.19539700,edu, +b73795963dc623a634d218d29e4a5b74dfbc79f1,Identity Preserving Face Completion for Large Ocular Region Occlusion,China,China,China,35.86166000,104.19539700,edu, b7b421be7c1dcbb8d41edb11180ba6ec87511976,A Deep Face Identification Network Enhanced by Facial Attributes Prediction,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, b7d2ed1fb47fcef9aa3822e6e90e248b64bf9d21,Zero-Shot Object Detection,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, b7d2ed1fb47fcef9aa3822e6e90e248b64bf9d21,Zero-Shot Object Detection,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu, @@ -10001,7 +12316,10 @@ b72c72e2c3d140c3064eae3aff17e0c0c177c963,3D-Aware Scene Manipulation via Inverse b72c72e2c3d140c3064eae3aff17e0c0c177c963,3D-Aware Scene Manipulation via Inverse Graphics,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, b72c72e2c3d140c3064eae3aff17e0c0c177c963,3D-Aware Scene Manipulation via Inverse Graphics,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, b72c72e2c3d140c3064eae3aff17e0c0c177c963,3D-Aware Scene Manipulation via Inverse Graphics,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, +b7d540cd0de72e984cdec44afa4a4d039cfd5eea,Object Tracking Benchmark,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for Mobile Devices,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, +2fe0555f2b92a81992247519cb8fdc047069e2b0,A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +2fe0555f2b92a81992247519cb8fdc047069e2b0,A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 2fa1037496dbcc04b705fcc4e9ed58cdc85df46e,Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 2fa1037496dbcc04b705fcc4e9ed58cdc85df46e,Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 2fa45a5b0421578a9a0d5124678dafc689e2bf82,Fake Sentence Detection as a Training Task for Sentence Encoding,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, @@ -10009,6 +12327,7 @@ b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for M 2f0e5a4b0ef89dd2cf55a4ef65b5c78101c8bfa1,Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, 2fc8905a80b284d2cc204dc38ce10d904a875be9,VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 2fd96238a7e372146cdf6c2338edc932031dd1f0,Face Aging with Contextual Generative Adversarial Nets,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +2fd96238a7e372146cdf6c2338edc932031dd1f0,Face Aging with Contextual Generative Adversarial Nets,China,China,China,35.86166000,104.19539700,edu, 2fd96238a7e372146cdf6c2338edc932031dd1f0,Face Aging with Contextual Generative Adversarial Nets,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 2f52b6cd87e6d72a11168fef0865743dde9ea0ae,Adversarial Attacks Beyond the Image Space,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 2f52b6cd87e6d72a11168fef0865743dde9ea0ae,Adversarial Attacks Beyond the Image Space,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, @@ -10030,6 +12349,8 @@ b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for M 2ff9ffedfc59422a8c7dac418a02d1415eec92f1,Face Verification Using Boosted Cross-Image Features,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 2ff9ffedfc59422a8c7dac418a02d1415eec92f1,Face Verification Using Boosted Cross-Image Features,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 2ff9ffedfc59422a8c7dac418a02d1415eec92f1,Face Verification Using Boosted Cross-Image Features,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, +2f349ec19443523bc6c1e4b15fb677b1c188e253,Finding Time Series Motifs in Disk-Resident Data,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, +2ffcd35d9b8867a42be23978079f5f24be8d3e35,Satellite based Image Processing using Data mining,India,India,India,20.59368400,78.96288000,edu, 2f779de22265da70bdbb5762e088c25785f32d50,Mistaking a house for a face: neural correlates of misperception in healthy humans.,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 2f779de22265da70bdbb5762e088c25785f32d50,Mistaking a house for a face: neural correlates of misperception in healthy humans.,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 2fa941ed0f9546796499782e285a14cabf0186de,ClassMap: Efficient Multiclass Recognition via Embeddings,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, @@ -10042,6 +12363,9 @@ b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for M 2f04ba0f74df046b0080ca78e56898bd4847898b,Aggregate channel features for multi-view face detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2f16baddac6af536451b3216b02d3480fc361ef4,Web-scale training for face identification,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 2f0486b7770c0a8d9cd37e0d73ea3495562511f3,Extreme Clicking for Efficient Object Annotation,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1,IoT Based Embedded Smart Lock Control System,India,India,India,20.59368400,78.96288000,edu, +2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1,IoT Based Embedded Smart Lock Control System,India,India,India,20.59368400,78.96288000,edu, +2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1,IoT Based Embedded Smart Lock Control System,India,India,India,20.59368400,78.96288000,edu, 2fe87224a5b8db29f72936c1cae17389e1c553ad,ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 2f2406551c693d616a840719ae1e6ea448e2f5d3,Age estimation from face images: Human vs. machine performance,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 2fa1f1fc566a0b770b1f39ed5ca1e602a28a5636,Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, @@ -10055,7 +12379,9 @@ b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for M 2fc43c2c3f7ad1ca7a1ce32c5a9a98432725fb9a,Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 2fc43c2c3f7ad1ca7a1ce32c5a9a98432725fb9a,Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 2fc43c2c3f7ad1ca7a1ce32c5a9a98432725fb9a,Hierarchical Video Generation From Orthogonal Information: Optical Flow and Texture,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd,Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion,China,China,China,35.86166000,104.19539700,edu, 2fe7105ef8e61330a3ddc7f7b35955ca62fc1ab3,Unifying Identification and Context Learning for Person Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +2fa16dc0ee50550c1bf58c410912d48cddbc3554,Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2f5e057e35a97278a9d824545d7196c301072ebf,Capturing Long-Tail Distributions of Object Subcategories,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, 2f5e057e35a97278a9d824545d7196c301072ebf,Capturing Long-Tail Distributions of Object Subcategories,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, 2fa2a186dfae16958bb3bc8752c57a749ccb4f41,Robust Depth Image Acquisition Using Modulated Pattern Projection and Probabilistic Graphical Models,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, @@ -10069,17 +12395,28 @@ b7a9fa746f22aa543c1e682554a834329b17d1c2,A Person Re-Identification System for M aa2ddae22760249729ac2c2c4e24c8b665bcd40e,Interpretable Basis Decomposition for Visual Explanation,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, aadf4b077880ae5eee5dd298ab9e79a1b0114555,Using Hankel matrices for dynamics-based facial emotion recognition and pain detection,University of Palermo,DICGIM - University of Palermo,"Edificio 8, Viale delle Scienze, 90128 Palermo PA, Italy",38.10427160,13.34723540,edu, aac241c0327ceec5fded6646cc5b93e150ca8b06,Crisis management using multiple camera surveillance systems,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +aaa6fe8045e1a071e1762cffe4f59e0bd508daf9,Single-Pedestrian Detection Aided by Two-Pedestrian Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, aac934f2eed758d4a27562dae4e9c5415ff4cdb7,TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, aadc142d4e216432899326c7162540955f8b5590,Middle-Out Decoding,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, aadc142d4e216432899326c7162540955f8b5590,Middle-Out Decoding,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +aa07203067566f251041f73ee087aa7dfb847509,Biometric System Using Cryptography : A Survey,India,India,India,20.59368400,78.96288000,edu, +aa07203067566f251041f73ee087aa7dfb847509,Biometric System Using Cryptography : A Survey,India,India,India,20.59368400,78.96288000,edu, aa127e6b2dc0aaccfb85e93e8b557f83ebee816b,Advancing human pose and gesture recognition,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, aa127e6b2dc0aaccfb85e93e8b557f83ebee816b,Advancing human pose and gesture recognition,Wolfson College,Wolfson College,"Wolfson College, Linton Road, Norham Manor, Oxford, Oxon, South East, England, OX2 6UD, UK",51.77110760,-1.25361700,edu, aa8ef6ba6587c8a771ec4f91a0dd9099e96f6d52,Improved face tracking thanks to local features correspondence,University of Brescia,University of Brescia,"Brescia University, West 7th Street, Owensboro, Daviess County, Kentucky, 42303, USA",37.76893740,-87.11138590,edu, +aae742779e8b754da7973949992d258d6ca26216,Robust facial expression classification using shape and appearance features,India,India,India,20.59368400,78.96288000,edu, aa0c30bd923774add6e2f27ac74acd197b9110f2,Dynamic Probabilistic Linear Discriminant Analysis for video classification,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, aa0c30bd923774add6e2f27ac74acd197b9110f2,Dynamic Probabilistic Linear Discriminant Analysis for video classification,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, aa0c30bd923774add6e2f27ac74acd197b9110f2,Dynamic Probabilistic Linear Discriminant Analysis for video classification,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu, aa0c30bd923774add6e2f27ac74acd197b9110f2,Dynamic Probabilistic Linear Discriminant Analysis for video classification,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, aa7e7637f3443a823ee799a560ab84103b0e9a7f,Autonomous Driving in Reality with Reinforcement Learning and Image Translation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +aa11aa50c5a3cee44d7fb39b1e2732c5699f565f,A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +aaba2a04c025f12f839ac71fb248da0dd6985d58,A COMBINED FACE RECOGNITION APPROACH BASED ON LPD AND,India,India,India,20.59368400,78.96288000,edu, +aaba2a04c025f12f839ac71fb248da0dd6985d58,A COMBINED FACE RECOGNITION APPROACH BASED ON LPD AND,India,India,India,20.59368400,78.96288000,edu, +aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, aaeb8b634bb96a372b972f63ec1dc4db62e7b62a,Facial Expression Recognition System : A Digital Printing Application,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, aaeb8b634bb96a372b972f63ec1dc4db62e7b62a,Facial Expression Recognition System : A Digital Printing Application,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, aa299218f9b7cda78c440117f12f193c3c4a86cb,Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, @@ -10087,24 +12424,32 @@ aab3561acbd19f7397cbae39dd34b3be33220309,Quantization Mimic: Towards Very Tiny C aab3561acbd19f7397cbae39dd34b3be33220309,Quantization Mimic: Towards Very Tiny CNN for Object Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, aab3561acbd19f7397cbae39dd34b3be33220309,Quantization Mimic: Towards Very Tiny CNN for Object Detection,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" aab3561acbd19f7397cbae39dd34b3be33220309,Quantization Mimic: Towards Very Tiny CNN for Object Detection,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +aa32f5b0a866b04a89f75cda32e0975a541864ff,Action-Driven Object Detection with Top-Down Visual Attentions,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +aa32f5b0a866b04a89f75cda32e0975a541864ff,Action-Driven Object Detection with Top-Down Visual Attentions,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, aaa29212a3f9e6a35f78600231a690b4a3c83fd5,Distributional Learning of Appearance,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, aacd2fefca976b963701669a77808fde973c1d02,Landmark classification in large-scale image collections,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, aa4d1ad6fd2dbc05139b8121b500c2b1f6b35bec,Grassmann Registration Manifolds for Face Recognition,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, aa54d0ac723c1a45e31df69433a72f6dc711706a,Robust 3D Face Recognition Using Learned Visual Codebook,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +aae0e417bbfba701a1183d3d92cc7ad550ee59c3,A Statistical Method for 2-D Facial Landmarking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, aa4928142b99224e96536d402ef8869b8391cf79,Fusing Individual Algorithms and Humans Improves Face Recognition Accuracy,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, aa4928142b99224e96536d402ef8869b8391cf79,Fusing Individual Algorithms and Humans Improves Face Recognition Accuracy,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, aa47114dd92bc6f2c01f579211ed006a7cb7d650,Understanding Human Behaviors in Crowds by Imitating the Decision-Making Process,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, aa3c9de34ef140ec812be85bb8844922c35eba47,Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +aaaefba1bd0a9a9ec6c66a822d11fb907a05625c,"On Detection, Data Association and Segmentation for Multi-target Tracking.",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, aabe235a028a4d533053d78034f85bea39690d4f,Active Learning with Cross-Class Similarity Transfer,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, aabe235a028a4d533053d78034f85bea39690d4f,Active Learning with Cross-Class Similarity Transfer,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, aa4b5494886b9322f3ee6e2d8b7c5550c26a7c5a,Robust realtime feature detection in raw 3D face images,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, aaf4d938f2e66d158d5e635a9c1d279cdc7639c0,Toward visual understanding of everyday object,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +aa8c3eb6e821cb44ed5a15a2f09fba332e5561c6,Object Detection in Multi-view X-Ray Images,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to Reduce the Effects of Changes of Illumination in Face Recognition-based Authentication,Howard University,Howard University,"Howard University, College Street Northwest, Howard University, Washington, D.C., 20001, USA",38.92152500,-77.01953566,edu, aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to Reduce the Effects of Changes of Illumination in Face Recognition-based Authentication,Howard University,Howard University,"Howard University, College Street Northwest, Howard University, Washington, D.C., 20001, USA",38.92152500,-77.01953566,edu, +741b0ce40cc18449f350792af777cc54c390eda1,Comparative Study of Principal Component Analysis and Independent Component Analysis,India,India,India,20.59368400,78.96288000,edu, 742d5b4590284b632ca043a16507fb5a459dceb2,Feature Agglomeration Networks for Single Stage Face Detection,Singapore Management University,Singapore Management University,"Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore",1.29500195,103.84909214,edu, 742d5b4590284b632ca043a16507fb5a459dceb2,Feature Agglomeration Networks for Single Stage Face Detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +742d5b4590284b632ca043a16507fb5a459dceb2,Feature Agglomeration Networks for Single Stage Face Detection,China,China,China,35.86166000,104.19539700,edu, 74f17647637fe068e237d8d5a8cc37e081ec03d0,Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 74f17647637fe068e237d8d5a8cc37e081ec03d0,Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +74f17647637fe068e237d8d5a8cc37e081ec03d0,Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors,China,China,China,35.86166000,104.19539700,edu, 74ba4ba7a2c97826690b9d45edcc82532d1039bc,Gait Gate: An Online Walk-Through Multimodal Biometric Verification System Using a Single RGB-D Sensor,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 74ba4ba7a2c97826690b9d45edcc82532d1039bc,Gait Gate: An Online Walk-Through Multimodal Biometric Verification System Using a Single RGB-D Sensor,Benha University,Benha University,"كلية الهندسة بشبرا جامعة بنها, شارع اليازجي, روض الفرج, القاهرة, محافظة القاهرة, 2466, مصر",30.08187270,31.24454841,edu, 748e72af01ba4ee742df65e9c030cacec88ce506,Discriminative Regions Selection for Facial Expression Recognition,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" @@ -10114,6 +12459,9 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to 7481b7d5272326f4e9efcd49d31c7f42adb8ec4b,Weighted Bilinear Coding over Salient Body Parts for Person Re-identification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 7481b7d5272326f4e9efcd49d31c7f42adb8ec4b,Weighted Bilinear Coding over Salient Body Parts for Person Re-identification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 749ebfa344b6d27de898d619cea0b28ad3894ff2,Predicting Biometric Authentication System Performance Across Different Application Conditions: A Bootstrap Enhanced Parametric Approach,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +74325f3d9aea3a810fe4eab8863d1a48c099de11,Regression-Based Image Alignment for General Object Categories,Carnegie Mellon University (CMU),Carnegie Mellon University (CMU),"4400 Fifth Ave, Pittsburgh, PA 15213, USA",40.44615040,-79.95104550,edu, +74eae724ef197f2822fb7f3029c63014625ce1ca,Feature Extraction based on Local Directional Pattern with SVM Decision-level Fusion for Facial Expression Recognition,China,China,China,35.86166000,104.19539700,edu, +74eae724ef197f2822fb7f3029c63014625ce1ca,Feature Extraction based on Local Directional Pattern with SVM Decision-level Fusion for Facial Expression Recognition,China,China,China,35.86166000,104.19539700,edu, 74ce7e5e677a4925489897665c152a352c49d0a2,SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 74cefa1d796c84dc4343fdf383f15ca1e8ebb6ba,Low Resolution Camera for Human Detection and Tracking,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 7492c611b1df6bce895bee6ba33737e7fc7f60a6,The 3D Menpo Facial Landmark Tracking Challenge,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, @@ -10123,17 +12471,21 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to 74e1efe5e3564c4c6a9aebcb18103e941e31e335,High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 74113bb67eef4cfa28ebfa8bd38a614c82bdfdea,Neural responses to facial expressions support the role of the amygdala in processing threat.,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 74113bb67eef4cfa28ebfa8bd38a614c82bdfdea,Neural responses to facial expressions support the role of the amygdala in processing threat.,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +74583979ead9acd670e524c8afa5ccd67f5ca94b,Automatic Human Face Recognition Using Multivariate Gaussian Model and Fisher Linear Discriminative Analysis,India,India,India,20.59368400,78.96288000,edu, 74583979ead9acd670e524c8afa5ccd67f5ca94b,Automatic Human Face Recognition Using Multivariate Gaussian Model and Fisher Linear Discriminative Analysis,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 74b9d1e80d3df707963fad57c50d7c25936da535,Reward Learning from Narrated Demonstrations,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 741e2682b45a3dccab341cf272312a3c75c4b49a,A Diverse Dataset for Pedestrian Detection,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 741e2682b45a3dccab341cf272312a3c75c4b49a,A Diverse Dataset for Pedestrian Detection,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 744cc8c69255cbe9d992315e456b9efb06f42e20,Person Re-Identification by Deep Joint Learning of Multi-Loss Classification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +7405ed035d1a4b9787b78e5566340a98fe4b63a0,Self-Expressive Decompositions for Matrix Approximation and Clustering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 747fdee12e633addeae3b74c12643cbac2c925ec,Deep Differential Recurrent Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 747fdee12e633addeae3b74c12643cbac2c925ec,Deep Differential Recurrent Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 747fdee12e633addeae3b74c12643cbac2c925ec,Deep Differential Recurrent Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 744b794f0047b008c517752fc9bb1100e5f120cc,Multiple-exemplar discriminant analysis for face recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 74cce11cfd25618b0fee0bcceb2f23376121a1f6,Exploring Inter-Observer Differences in First-Person Object Views Using Deep Learning Models,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 74cce11cfd25618b0fee0bcceb2f23376121a1f6,Exploring Inter-Observer Differences in First-Person Object Views Using Deep Learning Models,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, +74cbb3acfc401a397c9a4e151ff8e3ecf5ea76d0,Egocentric Video Description based on Temporally-Linked Sequences,"Universitat de Barcelona, Barcelona, Spain","Universitat de Barcelona, Barcelona, Spain","Gran Via de les Corts Catalanes, 585, 08007 Barcelona, Spain",41.38660800,2.16402000,edu, +74cbb3acfc401a397c9a4e151ff8e3ecf5ea76d0,Egocentric Video Description based on Temporally-Linked Sequences,"Computer Vision Center, Bellaterra, Spain","Computer Vision Center, Bellaterra, Spain","Campus UAB, Edifici O, s/n, 08193 Cerdanyola del Vallès, Barcelona, Spain",41.50089570,2.11155300,edu, 744089e18ef246785cdec2875d2b3872ef1d71b6,Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 740f968be0becd9f16896cccce0e45a69e605146,View Independent Video-Based Face Recognition Using Posterior Probability in Kernel Fisher Discriminant Space,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, 74fcbd059e6749ee5073b7323d121132799f97a1,Gait-Assisted Person Re-identification in Wide Area Surveillance,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, @@ -10144,6 +12496,7 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to 74875368649f52f74bfc4355689b85a724c3db47,Object detection by labeling superpixels,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 74de03923a069ffc0fb79e492ee447299401001f,On film character retrieval in feature-length films,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 74de03923a069ffc0fb79e492ee447299401001f,On film character retrieval in feature-length films,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +744108530678ee667b9c1220933bed074794d9e2,A Scene Recognition and Semantic Analysis Approach to Unhealthy Sitting Posture Detection during Screen-Reading,China,China,China,35.86166000,104.19539700,edu, 743c7e1aef6461d6582cf8deeb5d518e45215f89,Looking you in the mouth: abnormal gaze in autism resulting from impaired top-down modulation of visual attention.,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 743c7e1aef6461d6582cf8deeb5d518e45215f89,Looking you in the mouth: abnormal gaze in autism resulting from impaired top-down modulation of visual attention.,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu, 7489990ea3d6ab4c1c86c9ed9f049399961dfaef,CUTS WITH SOFT MUST-LINK CONSTRAINTS FOR IMAGE SEGMENTATION AND CLUSTERING,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, @@ -10154,14 +12507,18 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to 02ddda27cef81c363ffffc4edfdfbd1dea14149e,Predicting People's 3D Poses from Short Sequences,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 0235b2d2ae306b7755483ac4f564044f46387648,Recognition of Facial Attributes Using Adaptive Sparse Representations of Random Patches,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 02607f5d3c7638d0207279d96f39d435f102bf4d,Assignment 4 : Reading Comprehension,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +02567fd428a675ca91a0c6786f47f3e35881bcbd,Deep Label Distribution Learning With Label Ambiguity,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0209389b8369aaa2a08830ac3b2036d4901ba1f1,DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 0209389b8369aaa2a08830ac3b2036d4901ba1f1,DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 02a5b7a41ffa8518eb3b7cae9914a2bd2bbc886b,Fast Online Object Tracking and Segmentation: A Unifying Approach,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 02a5b7a41ffa8518eb3b7cae9914a2bd2bbc886b,Fast Online Object Tracking and Segmentation: A Unifying Approach,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 025ceb084150433087cd9d3e6725ac439115e526,Controlling explanatory heatmap resolution and semantics via decomposition depth,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, +025ceb084150433087cd9d3e6725ac439115e526,Controlling explanatory heatmap resolution and semantics via decomposition depth,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0291b43490e02303c9414f03980e606950ec7261,Pose-conditioned joint angle limits for 3D human pose reconstruction,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 02c3432b5d97b4ed7b8522c1fc4388bd4eda8e67,Using context to improve cascaded pedestrian detection,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 026b5b8062e5a8d86c541cfa976f8eee97b30ab8,MDLFace: Memorability augmented deep learning for video face recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 0239d0af254c5304414db1672ea25ad2e1cdf2ee,Implicit Shape Kernel for Discriminative Learning of the Hough Transform Detector,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +029317f260b3303c20dd58e8404a665c7c5e7339,Character Identification in Feature-Length Films Using Global Face-Name Matching,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 02be981d45a8ca14e30e1cf9dfffd977f85e6ee4,Top-down saliency with Locality-constrained Contextual Sparse Coding,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 0294f992f8dfd8748703f953925f9aee14e1b2a2,Blur-Robust Face Recognition via Transformation Learning,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 0290523cabea481e3e147b84dcaab1ef7a914612,Generated Motion Maps,Tokyo Denki University,Tokyo Denki University,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, @@ -10173,6 +12530,7 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to 02ae77f4c289426f18e83ce6e295d39538fb0fcc,Dependency Modeling for Information Fusion with Applications in Visual Recognition,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 02b852e698dfe85df39c24e7dd39dedf484893dd,Collaborative Learning for Weakly Supervised Object Detection,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 02e39f23e08c2cb24d188bf0ca34141f3cc72d47,Removing illumination artifacts from face images using the nuisance attribute projection,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, +02e17f547dd75eee7282af1b5ad2626829615ac9,"Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 023be757b1769ecb0db810c95c010310d7daf00b,Face Alignment Assisted by Head Pose Estimation,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 023be757b1769ecb0db810c95c010310d7daf00b,Face Alignment Assisted by Head Pose Estimation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 023be757b1769ecb0db810c95c010310d7daf00b,Face Alignment Assisted by Head Pose Estimation,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, @@ -10184,6 +12542,7 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to 02239ae5e922075a354169f75f684cad8fdfd5ab,Commonly Uncommon: Semantic Sparsity in Situation Recognition,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, 02227c94dd41fe0b439e050d377b0beb5d427cda,Reading Digits in Natural Images with Unsupervised Feature Learning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 02c44e0a7bb179be03601a7abedb006a28ad4e23,Treepedia 2.0: Applying Deep Learning for Large-Scale Quantification of Urban Tree Cover,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +02601d184d79742c7cd0c0ed80e846d95def052e,Graphical Representation for Heterogeneous Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0269312a7d49209fd9f1875e24df6a1d178fb15c,Subject centric group feature for person re-identification,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 02c8de83c3bd2226a918c925400628902b6f175a,"Size matters! how thumbnail number, size, and motion influence mobile video retrieval",University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 02c04a8b7c1232646ebc882caf3793327a510ba6,Cost-Effectiveness of Seven Approaches to Map Vegetation Communities - A Case Study from Northern Australia's Tropical Savannas,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, @@ -10198,6 +12557,7 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to 02cc96ad997102b7c55e177ac876db3b91b4e72c,"MuseumVisitors: A dataset for pedestrian and group detection, gaze estimation and behavior understanding",Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 02b1a5d4b113211198e9c66d51153eb63ca680e2,Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG),University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 02b1a5d4b113211198e9c66d51153eb63ca680e2,Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG),University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +02d7f9715cdce854d727ba763c81aae5b04d3a3b,Semantic Channels for Fast Pedestrian Detection,Technical University of Cluj-Napoca,Technical University of Cluj-Napoca,"Strada Memorandumului 28, Cluj-Napoca 400114, Romania",46.76929900,23.58561300,edu, 02ec4f6338cbf74d88e878b29ea5dd2b86a046db,Computational Modeling of Human Multimodal Language : The MOSEI Dataset and Interpretable Dynamic Fusion,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 02ec4f6338cbf74d88e878b29ea5dd2b86a046db,Computational Modeling of Human Multimodal Language : The MOSEI Dataset and Interpretable Dynamic Fusion,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0229829e9a1eed5769a2b5eccddcaa7cd9460b92,Pooled motion features for first-person videos,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, @@ -10206,12 +12566,17 @@ aa912375eaf50439bec23de615aa8a31a3395ad3,Implementation of a New Methodology to 022f38febc47818a010dc64ca54f6e137055cc88,3D face texture modeling from uncalibrated frontal and profile images,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 02f8c803fbf02bae0cd4ba8943fe3acccdf37402,The Bogazici face database: Standardized photographs of Turkish faces with supporting materials,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu, 02aa54dbb461f6bde6fe8ba0591c3c5cabed7e59,Residual Attention Networks for Image Classification,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +0296fc4d042ca8657a7d9dd02df7eb7c0a0017ad,Subspace Learning from Image Gradient Orientations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 02e05ad42dbe99257eee1bff3e28feaa005e5924,Remembering Who Was Where: A Happy Expression Advantage for Face Identity-Location Binding in Working Memory,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu, 02e05ad42dbe99257eee1bff3e28feaa005e5924,Remembering Who Was Where: A Happy Expression Advantage for Face Identity-Location Binding in Working Memory,University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu, 02218fcd3aece5a7bd19255d74b12f63dfa5c1a7,ShapeWorld - A new test methodology for multimodal language understanding,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 02218fcd3aece5a7bd19255d74b12f63dfa5c1a7,ShapeWorld - A new test methodology for multimodal language understanding,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +02bee6bf61566cfc3963fe42b320a740a9458920,Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +02b6acd8d1f2a5833a29b52766776fd70b3dbb56,Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels,Finland,Finland,Finland,61.92411000,25.74815110,edu, +0289786e0d5edf663c586c8552ec3708eff62331,Detecting Faces in Images: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 02467703b6e087799e04e321bea3a4c354c5487d,Grouper: Optimizing Crowdsourced Face Annotations,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 02d6fb270c82c390476faffc6015b3116ddbb60c,Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +02d6fb270c82c390476faffc6015b3116ddbb60c,Image Captioning with Sentiment Terms via Weakly-Supervised Sentiment Dataset,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, 027f769aed0cfcb3169ef60f182ce1decc0e99eb,Local Directional Pattern (LDP) for face recognition,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu, 02e628e99f9a1b295458cb453c09863ea1641b67,Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, ba21fd28003994480f713b0a1276160fea2e89b5,Identification of Individuals from Ears in Real World Conditions,University of South Florida,University of South Florida,"University of South Florida, Leroy Collins Boulevard, Tampa, Hillsborough County, Florida, 33620, USA",28.05999990,-82.41383619,edu, @@ -10220,6 +12585,7 @@ ba5fcc1a691ecb0e7bc917eb1c00b5fd01701fab,Consistent Optimization for Single-Shot baaaf73ec28226d60d923bc639f3c7d507345635,Emotion Classification on face images,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, ba25c219b52d675b579941364ce6ee6700cea8e8,8D-THERMO CAM: Combination of Geometry with Physiological Information for Face Recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, baa1e6894024223a928aa00be698247ae253e7cb,"Patterns of eye movements when male and female observers judge female attractiveness , body fat and waist-to-hip ratio",University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +baa1e6894024223a928aa00be698247ae253e7cb,"Patterns of eye movements when male and female observers judge female attractiveness , body fat and waist-to-hip ratio",Finland,Finland,Finland,61.92411000,25.74815110,edu, baa1e6894024223a928aa00be698247ae253e7cb,"Patterns of eye movements when male and female observers judge female attractiveness , body fat and waist-to-hip ratio",Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu, ba7890a5e9e51bf6181cc3c03144796cb3e5e254,"Query : "" A man in a red sweatshirt performing breakdance """,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, ba7890a5e9e51bf6181cc3c03144796cb3e5e254,"Query : "" A man in a red sweatshirt performing breakdance ""","University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, @@ -10233,6 +12599,8 @@ bae86526b3b0197210b64cdd95cb5aca4209c98a,"Brute-Force Facial Landmark Analysis W baf5ab5e8972e9366951b7e66951e05e2a4b3e36,Harmonious Attention Network for Person Re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, baff74e4a9880d7477799822d8e68224466f3e76,What Can Help Pedestrian Detection?,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, baff74e4a9880d7477799822d8e68224466f3e76,What Can Help Pedestrian Detection?,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +baff74e4a9880d7477799822d8e68224466f3e76,What Can Help Pedestrian Detection?,China,China,China,35.86166000,104.19539700,edu, +baff74e4a9880d7477799822d8e68224466f3e76,What Can Help Pedestrian Detection?,China,China,China,35.86166000,104.19539700,edu, baa0fe4d0ac0c7b664d4c4dd00b318b6d4e09143,SERSC Facial Expression Analysis using Active Shape Model,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu, bafd1978d6a68db89b4b75008e1bb53aea81f632,DeMIAN: Deep Modality Invariant Adversarial Network,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, ba7b12c8e2ff3c5e4e0f70b58215b41b18ff8feb,Natural and Effective Obfuscation by Head Inpainting,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, @@ -10241,9 +12609,11 @@ bab65e5a5e0768fbddfaa0fa85f9fe9a51d38b6c,Personalized Modeling of Facial Action bab65e5a5e0768fbddfaa0fa85f9fe9a51d38b6c,Personalized Modeling of Facial Action Unit Intensity,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, ba26bf9ffd328d23faca2deea9ebb3292bddcd93,Neural Styling for Interpretable Fair Representations,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, bac11ce0fb3e12c466f7ebfb6d036a9fe62628ea,Weakly Supervised Learning of Heterogeneous Concepts in Videos,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +bac11ce0fb3e12c466f7ebfb6d036a9fe62628ea,Weakly Supervised Learning of Heterogeneous Concepts in Videos,India,India,India,20.59368400,78.96288000,edu, ba9e967208976f24a09730af94086e7ae0417067,An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, ba82f4ebd5e62c049387dcb6a1bffbc5d23aea2b,Ordinal Depth Supervision for 3D Human Pose Estimation,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, ba82f4ebd5e62c049387dcb6a1bffbc5d23aea2b,Ordinal Depth Supervision for 3D Human Pose Estimation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +ba7c01e1432bffc2fcde824d0b0ebd25ad7238c3,Face Recognition Techniques : A Review,India,India,India,20.59368400,78.96288000,edu, ba8e129724e86984d7f935353941cbc9b134e171,Zero-Shot Learning With Attribute Selection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, ba8e129724e86984d7f935353941cbc9b134e171,Zero-Shot Learning With Attribute Selection,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, ba8e129724e86984d7f935353941cbc9b134e171,Zero-Shot Learning With Attribute Selection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -10257,34 +12627,48 @@ bacc83feb1146bb3d4cb3fa6304090c2ceb6e0d0,Attribute Learning for Network Intrusio 6515fe829d0b31a5e1f4dc2970a78684237f6edb,Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, 656ef752b363a24f84cc1aeba91e4fa3d5dd66ba,Robust open-set face recognition for small-scale convenience applications,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 65f6d0d91cdf1a77e3c5cb78c7d21f0f4f01f8b5,"Incremental , Robust , and Efficient Linear Discriminant Analysis Learning",Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, +656b6133fd671f129fce0091a8dab39c97e604f2,Multiview Discriminative Geometry Preserving Projection for Image Classification,China,China,China,35.86166000,104.19539700,edu, 65429789a95b3026457de76d46b5ec94158ce10e,PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +650bfe7acc3f03eb4ba91d9f93da8ef0ae8ba772,A Deep Learning Approach for Subject Independent Emotion Recognition from Facial Expressions,Romania,Romania,Romania,45.94316100,24.96676000,edu, 650bfe7acc3f03eb4ba91d9f93da8ef0ae8ba772,A Deep Learning Approach for Subject Independent Emotion Recognition from Facial Expressions,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +65babb10e727382b31ca5479b452ee725917c739,Label Distribution Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 656531036cee6b2c2c71954bb6540ef6b2e016d0,Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 656531036cee6b2c2c71954bb6540ef6b2e016d0,Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 656531036cee6b2c2c71954bb6540ef6b2e016d0,Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 6577a11fc1e022670a0867ca2622b72ef225616e,Conservative learning for learning object detectors ?,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 65d7f95fcbabcc3cdafc0ad38e81d1f473bb6220,Face Recognition for the Visually Impaired,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, +65b1760d9b1541241c6c0222cc4ee9df078b593a,EnhancedPictorial Structures for Precise Eye Localization Under Uncontrolled Conditions,China,China,China,35.86166000,104.19539700,edu, 65b1760d9b1541241c6c0222cc4ee9df078b593a,EnhancedPictorial Structures for Precise Eye Localization Under Uncontrolled Conditions,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 650aaa330f088c2a0ba6bc6cb4a1ea7a61bd2173,Constructing Visual Models with a Latent Space Approach,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 650aaa330f088c2a0ba6bc6cb4a1ea7a61bd2173,Constructing Visual Models with a Latent Space Approach,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 652aac54a3caf6570b1c10c993a5af7fa2ef31ff,"STATISTICAL MODELING FOR NETWORKED VIDEO : CODING OPTIMIZATION , ERROR CONCEALMENT AND TRAFFIC ANALYSIS",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 652aac54a3caf6570b1c10c993a5af7fa2ef31ff,"STATISTICAL MODELING FOR NETWORKED VIDEO : CODING OPTIMIZATION , ERROR CONCEALMENT AND TRAFFIC ANALYSIS",Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 65dadb2128c8720e9d23160058935a6eb459f7ba,High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, +65696f1beb82be12e7e358bb0e5109dedf004783,Multi-view Discriminative Manifold Embedding for Pattern Classification,China,China,China,35.86166000,104.19539700,edu, +65696f1beb82be12e7e358bb0e5109dedf004783,Multi-view Discriminative Manifold Embedding for Pattern Classification,China,China,China,35.86166000,104.19539700,edu, +65696f1beb82be12e7e358bb0e5109dedf004783,Multi-view Discriminative Manifold Embedding for Pattern Classification,China,China,China,35.86166000,104.19539700,edu, +65874dd7220664762b5b25f47460b623a7eb0175,Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 65293ecf6a4c5ab037a2afb4a9a1def95e194e5f,"Face , Age and Gender Recognition using Local Descriptors",Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 65293ecf6a4c5ab037a2afb4a9a1def95e194e5f,"Face , Age and Gender Recognition using Local Descriptors",University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, 65bba9fba03e420c96ec432a2a82521ddd848c09,Connectionist Temporal Modeling for Weakly Supervised Action Labeling,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 656268296532913eb34929e82ee19808429de06a,Amygdala Engagement in Response to Subthreshold Presentations of Anxious Face Stimuli in Adults with Autism Spectrum Disorders: Preliminary Insights,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu, 656268296532913eb34929e82ee19808429de06a,Amygdala Engagement in Response to Subthreshold Presentations of Anxious Face Stimuli in Adults with Autism Spectrum Disorders: Preliminary Insights,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu, +65cea66a59a4e75c8403daf3589f81627d5afd12,Social Behavior Prediction from First Person Videos,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 65fbd8c6b6a8814c3d8b28b4e14b2e262e60c58c,Bridging Cognitive Programs and Machine Learning,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, 6577c76395896dd4d352f7b1ee8b705b1a45fa90,Towards computational models of kinship verification,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 6577c76395896dd4d352f7b1ee8b705b1a45fa90,Towards computational models of kinship verification,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +65539436abf0eedabeb915a52f787b962722c99a,Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 65150ea455cf30ff75a73c1d25df84687d4930e4,3 D Object Retrieval and Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 65c978a97f54cf255f01c6846d6c51b37c61f836,A Glimpse Far into the Future: Understanding Long-term Crowd Worker Accuracy,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 65683bd97720bc18a022b23755b32c8c988e8d5c,Discovering social groups via latent structure learning.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 65683bd97720bc18a022b23755b32c8c988e8d5c,Discovering social groups via latent structure learning.,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 65355cbb581a219bd7461d48b3afd115263ea760,Recognition of ongoing complex activities by sequence prediction over a hierarchical label space,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 6555ef4e6f9582b5cb06199a70d4f54df04314ff,Part-based clothing segmentation for person retrieval,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +6506f9a8a2e73eeaea185273df909feccb68f944,Research on Dynamic Facial Expressions Recognition,China,China,China,35.86166000,104.19539700,edu, +6506f9a8a2e73eeaea185273df909feccb68f944,Research on Dynamic Facial Expressions Recognition,China,China,China,35.86166000,104.19539700,edu, +6506f9a8a2e73eeaea185273df909feccb68f944,Research on Dynamic Facial Expressions Recognition,China,China,China,35.86166000,104.19539700,edu, 6506f9a8a2e73eeaea185273df909feccb68f944,Research on Dynamic Facial Expressions Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +6506f9a8a2e73eeaea185273df909feccb68f944,Research on Dynamic Facial Expressions Recognition,China,China,China,35.86166000,104.19539700,edu, 65086cbda9714c538417f7b25f9cf661e6d72833,Tracking Using Motion Patterns for Very Crowded Scenes,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 651ea8b030470ab4a70efced154e77028a102713,Increasing Face Recognition Rate,University of KwaZulu-Natal,University of KwaZulu-Natal,"238 Mazisi Kunene Rd, Glenwood, Durban, 4041, South Africa",-29.86742190,30.98072720,edu, 65821b839b8c6ecf6cba7be0ca132da59075e1b4,"Preliminary studies on the Good, the Bad, and the Ugly face recognition challenge problem",Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, @@ -10294,9 +12678,11 @@ bacc83feb1146bb3d4cb3fa6304090c2ceb6e0d0,Attribute Learning for Network Intrusio 65b737e5cc4a565011a895c460ed8fd07b333600,Cross-Dataset Recognition: A Survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 65b737e5cc4a565011a895c460ed8fd07b333600,Cross-Dataset Recognition: A Survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, 65b737e5cc4a565011a895c460ed8fd07b333600,Cross-Dataset Recognition: A Survey,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, +653d19e64bd75648cdb149f755d59e583b8367e3,"Decoupling ""when to update"" from ""how to update""",The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu, 6577d30abd8bf5b21901572504bd82101a7eed75,Ear Biometrics in Human Identification,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, a63104ad235f98bc5ee0b44fefbcdb49e32c205a,Has my algorithm succeeded? an evaluator for human pose estimators,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, a63104ad235f98bc5ee0b44fefbcdb49e32c205a,Has my algorithm succeeded? an evaluator for human pose estimators,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +a65c76169bdb8479353806556f61bf94fdec7e10,Online Object Tracking With Sparse Prototypes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a6f93435e006328fd0a5dcb7639e771431cc2c37,Why Some Faces won't be Remembered: Brain Potentials Illuminate Successful Versus Unsuccessful Encoding for Same-Race and Other-Race Faces,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, a6f93435e006328fd0a5dcb7639e771431cc2c37,Why Some Faces won't be Remembered: Brain Potentials Illuminate Successful Versus Unsuccessful Encoding for Same-Race and Other-Race Faces,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, a6f93435e006328fd0a5dcb7639e771431cc2c37,Why Some Faces won't be Remembered: Brain Potentials Illuminate Successful Versus Unsuccessful Encoding for Same-Race and Other-Race Faces,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, @@ -10306,6 +12692,7 @@ a6e2c9b854446a23c14f6172a047d0df2cdd34ed,"Clustering , Dimensionality Reduction a6bd679c8a9346a39a003f536f36b7f77c0e09df,Running Head : ENHANCED AVERSIVE CONDITIONING TO POSITIVE STIMULI,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, a6bd679c8a9346a39a003f536f36b7f77c0e09df,Running Head : ENHANCED AVERSIVE CONDITIONING TO POSITIVE STIMULI,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, a6e039f0b4f586c2014e42c36ea173e249636f28,Fusion of Depth and Vision Information for Human Detection ⋆,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu, +a6e039f0b4f586c2014e42c36ea173e249636f28,Fusion of Depth and Vision Information for Human Detection ⋆,China,China,China,35.86166000,104.19539700,edu, a6e039f0b4f586c2014e42c36ea173e249636f28,Fusion of Depth and Vision Information for Human Detection ⋆,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, a663e729cb44cd02eda2d2a08d9117839dc67ca1,Deep Generative Models with Learnable Knowledge Constraints,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a6e21438695dbc3a184d33b6cf5064ddf655a9ba,PKU-MMD: A Large Scale Benchmark for Continuous Multi-Modal Human Action Understanding,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, @@ -10329,7 +12716,7 @@ a60540a8407fd117fd8e6857d4728e661f53dcc8,Deep Domain Generalization via Conditio a6f63bcd346750602fa6c1d3c28cb1aafb4f9a30,Probabilistic Scene Modeling for Situated Computer Vision,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu, a6b3457f861c8ab718321dc30dc708a4f8424796,3 D Gaze Tracking and Automatic Gaze Coding from RGB-D Cameras,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e,Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, -a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e,Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +a6b2c5c527557cc86ae2ce4332b18a7850ee4e1e,Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, a6b1d79bc334c74cde199e26a7ef4c189e9acd46,Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision.,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, a6b1d79bc334c74cde199e26a7ef4c189e9acd46,Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision.,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, a6f4d114dae7664a5161a21fc2bdc76c86a2d69b,A 2D Human Body Model Dressed in Eigen Clothing,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, @@ -10347,25 +12734,40 @@ a6ffe238eaf8632b4a8a6f718c8917e7f3261546,Dynamic facial prosthetics for sufferer a6ffe238eaf8632b4a8a6f718c8917e7f3261546,Dynamic facial prosthetics for sufferers of facial paralysis.,Nottingham Trent University,Nottingham Trent University,"Nottingham Trent University, Waverley Terrace, Lace Market, The Park, City of Nottingham, East Midlands, England, NG1 5JD, UK",52.95773220,-1.15617099,edu, a624f18087e663dbdbf176de45b863cc59bb2bb8,Aesthetic Evaluation of Facial Portraits Using Compositional Augmentation for Deep CNNs,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, a67da2dd79c01e8cc4029ecc5a05b97967403862,On Selecting Helpful Unlabeled Data for Improving Semi-Supervised Support Vector Machines,Myongji University,Myongji University,"명지대, 금학로, 역북동, 처인구, 용인시, 경기, 17144, 대한민국",37.23810230,127.19034310,edu, +a608c5f8fd42af6e9bd332ab516c8c2af7063c61,Age Estimation via Grouping and Decision Fusion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a6fc29d0a2b1eedd82b2cd55e2d271ec49054c1e,Learning To Simulate,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, +a6574d111bfb12d6a9988bdbbf24639d3c4534ec,Image denoising: Can plain neural networks compete with BM3D?,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +a6bc69831dea3efc5804b8ab65cf5a06688ddae0,Crossing Generative Adversarial Networks for Cross-View Person Re-identification,China,China,China,35.86166000,104.19539700,edu, a6bc69831dea3efc5804b8ab65cf5a06688ddae0,Crossing Generative Adversarial Networks for Cross-View Person Re-identification,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, a6bc69831dea3efc5804b8ab65cf5a06688ddae0,Crossing Generative Adversarial Networks for Cross-View Person Re-identification,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,India,India,India,20.59368400,78.96288000,edu, +a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,India,India,India,20.59368400,78.96288000,edu, +a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,India,India,India,20.59368400,78.96288000,edu, a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +a6ac6463b5c89ac9eb013c978f213b309cc6a5c7,iSPA-Net: Iterative Semantic Pose Alignment Network,India,India,India,20.59368400,78.96288000,edu, a6f81619158d9caeaa0863738ab400b9ba2d77c2,Face Recognition using Convolutional Neural Network and Simple Logistic Classifier,K.N. Toosi University of Technology,K.N. Toosi University of Technology,"دانشکده مهندسی عمران و نقشه برداری, ولی عصر, کاووسیه, منطقه ۳ شهر تهران, تجریش, بخش رودبارقصران, شهرستان شمیرانات, استان تهران, 1968653111, ‏ایران‎",35.76427925,51.40970276,edu, a6e25cab2251a8ded43c44b28a87f4c62e3a548a,Let's Dance: Learning From Online Dance Videos,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, a6e8a8bb99e30a9e80dbf80c46495cf798066105,Ranking Generative Adversarial Networks: Subjective Control over Semantic Image Attributes,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, a60907b7ee346b567972074e3e03c82f64d7ea30,Head Motion Signatures from Egocentric Videos,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, a60907b7ee346b567972074e3e03c82f64d7ea30,Head Motion Signatures from Egocentric Videos,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, +db67edbaeb78e1dd734784cfaaa720ba86ceb6d2,SPECFACE — A dataset of human faces wearing spectacles,India,India,India,20.59368400,78.96288000,edu, db1f48a7e11174d4a724a4edb3a0f1571d649670,Joint Constrained Clustering and Feature Learning based on Deep Neural Networks,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, db1f48a7e11174d4a724a4edb3a0f1571d649670,Joint Constrained Clustering and Feature Learning based on Deep Neural Networks,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, +dbe101c7c4b5ea5986be38e4d6de70bfc4324683,1 Deep convolutional neural networks capabilities for 2 binary classification of polar mesocyclones in 3 satellite mosaics 4,Russia,Russia,Russia,61.52401000,105.31875600,edu, +dbe101c7c4b5ea5986be38e4d6de70bfc4324683,1 Deep convolutional neural networks capabilities for 2 binary classification of polar mesocyclones in 3 satellite mosaics 4,Russia,Russia,Russia,61.52401000,105.31875600,edu, dbc749490275db26337c7e3201027e8cef8e371c,Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +dbc749490275db26337c7e3201027e8cef8e371c,Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition,China,China,China,35.86166000,104.19539700,edu, db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, +db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,China,China,China,35.86166000,104.19539700,edu, +db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,China,China,China,35.86166000,104.19539700,edu, db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, +db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,China,China,China,35.86166000,104.19539700,edu, db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, +db3acf0653d6e69887d184c7ebb1958f74a4d0b1,Weighting Deep and Classic Representation via l 2 Regularization for Image Classification,China,China,China,35.86166000,104.19539700,edu, db056590e54d7be16fb1c96deb9e94914ea9f838,Awareness of Road Scene Participants for Autonomous Driving,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, db7e48d2655521c1a89b579d8cb839a95d6e6a14,Boosted Attention: Leveraging Human Attention for Image Captioning,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, db3ce18f318ee732dab2e2f574062c94f7398943,"Image Semantic Transformation: Faster, Lighter and Stronger",Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, @@ -10374,7 +12776,10 @@ db9bd76813a6d9c3c8d69d2ffa49694fa588e902,Motion and Appearance Based MultiTask L db995bcf42e4f4952b83b40339c2858345f227be,MOBILE TO SERVER FACE RECOGNITION : A PROPOSED SYSTEM FOR SOCIAL SITUATIONS IN MALAYSIA,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, dbf98990383ee38413f55c831f89095a1b009420,Weakly supervised learning of part-based spatial models for visual object recognition,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, dbcab35c43c78411da8ceba4bdebe69f79308568,Social Style Characterization from Egocentric Photo-streams,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, -dbcab35c43c78411da8ceba4bdebe69f79308568,Social Style Characterization from Egocentric Photo-streams,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +dbcab35c43c78411da8ceba4bdebe69f79308568,Social Style Characterization from Egocentric Photo-streams,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +db625c4c26c7df67c9099e78961d479532628ec7,"All-in Text: Learning Document, Label, and Word Representations Jointly",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +db625c4c26c7df67c9099e78961d479532628ec7,"All-in Text: Learning Document, Label, and Word Representations Jointly",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +db625c4c26c7df67c9099e78961d479532628ec7,"All-in Text: Learning Document, Label, and Word Representations Jointly",TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video.,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video.,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video.,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, @@ -10383,11 +12788,16 @@ db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Co db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video.,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, db9cf9d263f8c3c0a3f89bfb615954c4f0e4d233,Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video.,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, db63bf0ea02ad561d6b97c6cf000c3954e428787,Polyphonic Sound Event Detection with Weak Labeling,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +dba7cf91feff6bdf26e9a3940015fd0c0cdc6520,Original Loop-Closure Detection Algorithm for Monocular vSLAM,Russia,Russia,Russia,61.52401000,105.31875600,edu, +dba7cf91feff6bdf26e9a3940015fd0c0cdc6520,Original Loop-Closure Detection Algorithm for Monocular vSLAM,Russia,Russia,Russia,61.52401000,105.31875600,edu, +dba7cf91feff6bdf26e9a3940015fd0c0cdc6520,Original Loop-Closure Detection Algorithm for Monocular vSLAM,Russia,Russia,Russia,61.52401000,105.31875600,edu, db428d03e3dfd98624c23e0462817ad17ef14493,Oxford TRECVID 2006 – Notebook paper,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, dbda7c3a09ada41ad45f6dfa1aa803e2a87ddbcd,From what we perceive to what we remember : Characterizing representational dynamics of visual memorability,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, dbda7c3a09ada41ad45f6dfa1aa803e2a87ddbcd,From what we perceive to what we remember : Characterizing representational dynamics of visual memorability,McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu, dbda7c3a09ada41ad45f6dfa1aa803e2a87ddbcd,From what we perceive to what we remember : Characterizing representational dynamics of visual memorability,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, db640eddc51258cf6b11e442745d9a4bd5d6995b,Simple Baselines for Human Pose Estimation and Tracking,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +dbe255d3d2a5d960daaaba71cb0da292e0af36a7,Evolutionary Cost-Sensitive Extreme Learning Machine,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +dbcb6b4c0d73159ad4bc833fa4209b9600025fa5,Eleventh International Multi-Conference on Information Processing-2015 ( IMCIP-2015 ) Analysis of Attention Identification and Recognition of Faces through Segmentation and Relative Visual Saliency ( SRVS ),India,India,India,20.59368400,78.96288000,edu, db82f9101f64d396a86fc2bd05b352e433d88d02,A spatio-temporal probabilistic framework for dividing and predicting facial action units,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, db6344e4f8a41c619573c8579595612a7cdfb080,Research on Face Recognition based on Wavelet Transformation and Improved Sparse Representation,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, dbf6d2619bd41ce4c36488e15d114a2da31b51c9,Data-Driven Modeling of Group Entitativity in Virtual Environments,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu, @@ -10402,7 +12812,7 @@ dbbdb23bb2512ef0922c5396cb95f713257b6ac8,Infinite-Label Learning with Semantic O dbbdb23bb2512ef0922c5396cb95f713257b6ac8,Infinite-Label Learning with Semantic Output Codes,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, dbbdb23bb2512ef0922c5396cb95f713257b6ac8,Infinite-Label Learning with Semantic Output Codes,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, dbb202b5dc073a2284044b4903a6057ac54c034f,Semi-Supervised Ground-to-Aerial Adaptation with Heterogeneous Features Learning for Scene Classification,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, -dba493caf6647214c8c58967a8251641c2bda4c2,Automatic 3 D Facial Expression Editing in Videos,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, +dba493caf6647214c8c58967a8251641c2bda4c2,Automatic 3 D Facial Expression Editing in Videos,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, dbede5113e4e91a3a26058e8b7253438a1df04c9,Online Dictionary Learning for Approximate Archetypal Analysis,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, dbbfb8ab9355d00ec3b2a9be12747e2e20458bb5,Data Analysis Project : Using Knowledge Graphs for Image Classification,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, db3545a983ffd24c97c18bf7f068783102548ad7,Enriching the Student Model in an Intelligent Tutoring System,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, @@ -10415,11 +12825,16 @@ db0a4af734dab1854c2e8dfe499fe0e353226e45,Hot Anchors: A Heuristic Anchors Sampli db0a4af734dab1854c2e8dfe499fe0e353226e45,Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object Detection,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, db36e682501582d1c7b903422993cf8d70bb0b42,Deep Trans-layer Unsupervised Networks for Representation Learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, db36e682501582d1c7b903422993cf8d70bb0b42,Deep Trans-layer Unsupervised Networks for Representation Learning,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +db36e682501582d1c7b903422993cf8d70bb0b42,Deep Trans-layer Unsupervised Networks for Representation Learning,China,China,China,35.86166000,104.19539700,edu, +dbb7b563e84903dad4953a8e9f23e3c54c6d7e78,Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, dbd98092268bf3ebf8c63b2b40bdd01872358fa2,Deep Adversarial Subspace Clustering,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +db848c3c32464d12da33b2f4c3a29fe293fc35d1,Pose Guided Human Video Generation,China,China,China,35.86166000,104.19539700,edu, db848c3c32464d12da33b2f4c3a29fe293fc35d1,Pose Guided Human Video Generation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, db3f52ffc7f09b415dd148cd1c6de9a811d1c5d4,Facial Dynamics for Identity Recognition,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, db84c6fd771a073023f2b42e48a68eb2d9d31e4a,A Deep Variational Autoencoder Approach for Robust Facial Symmetrization,Shandong University of Science and Technology,Shandong University of Science and Technology,"山东科技大学, 579, 前湾港路, 牛王庙, 北下庄, 黄岛区 (Huangdao), 青岛市, 山东省, 266500, 中国",36.00146435,120.11624057,edu, +db84c6fd771a073023f2b42e48a68eb2d9d31e4a,A Deep Variational Autoencoder Approach for Robust Facial Symmetrization,China,China,China,35.86166000,104.19539700,edu, db84c6fd771a073023f2b42e48a68eb2d9d31e4a,A Deep Variational Autoencoder Approach for Robust Facial Symmetrization,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu, +db84c6fd771a073023f2b42e48a68eb2d9d31e4a,A Deep Variational Autoencoder Approach for Robust Facial Symmetrization,China,China,China,35.86166000,104.19539700,edu, dbd3b57b942cb860207c377ac41d777f51ceabfa,AN INVERSE KINEMATIC MATHEMATICAL MODEL USING GROEBNER BASIS THEORY FOR ARM SWING MOVEMENT IN THE GAIT CYCLE By,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, dbf777403156adda2d551a973379edd3e2bc5aaa,Interpretable Explanations of Black Boxes by Meaningful Perturbation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, dbf777403156adda2d551a973379edd3e2bc5aaa,Interpretable Explanations of Black Boxes by Meaningful Perturbation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -10443,9 +12858,13 @@ dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb,Improving Accuracy of the Edgebox Appro 31f1e711fcf82c855f27396f181bf5e565a2f58d,Unconstrained Age Estimation with Deep Convolutional Neural Networks,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 31f1e711fcf82c855f27396f181bf5e565a2f58d,Unconstrained Age Estimation with Deep Convolutional Neural Networks,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 315df9b7dd354ae78ddf1049fb428b086eee632c,Part-Aligned Bilinear Representations for Person Re-identification,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, -315df9b7dd354ae78ddf1049fb428b086eee632c,Part-Aligned Bilinear Representations for Person Re-identification,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +315df9b7dd354ae78ddf1049fb428b086eee632c,Part-Aligned Bilinear Representations for Person Re-identification,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +315df9b7dd354ae78ddf1049fb428b086eee632c,Part-Aligned Bilinear Representations for Person Re-identification,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 31ea88f29e7f01a9801648d808f90862e066f9ea,Deep Multi-task Representation Learning: A Tensor Factorisation Approach,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +31f1c4cf34ce0bb35382c35b2f468cf72bffae0b,Are spatial and global constraints really necessary for segmentation?,"BIWI, ETH Zurich","BIWI, ETH Zurich","Sternwartstrasse 7, 8092 Zürich, Switzerland",47.37723980,8.55216180,edu, +31d007eda3aca9c5114559ddd1f80c5275f3a84f,A Suitable Adaptive Illumination Compensation Method for Face Detection,China,China,China,35.86166000,104.19539700,edu, 3137a3fedf23717c411483c7b4bd2ed646258401,Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, +31a2fb63a3fc67da9932474cda078c9ac43f85c5,Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3136cab00cfb223ceb9aff78af2c165b6e71a878,Open source biometric recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 3136cab00cfb223ceb9aff78af2c165b6e71a878,Open source biometric recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 3136cab00cfb223ceb9aff78af2c165b6e71a878,Open source biometric recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, @@ -10454,19 +12873,26 @@ dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb,Improving Accuracy of the Edgebox Appro 3154d7479881c7efd8a50909af921cfa8cff8e2e,Recognizing hand-object interactions in wearable camera videos,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 313e508202a6f4f2fc40a78b6237e52c2c0d22a2,Domain Adaptation for Ear Recognition Using Deep Convolutional Neural Networks,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 316d51aaa37891d730ffded7b9d42946abea837f,Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild,McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu, +312b5c73d79ae80f9f8e4573118d372cf29a80e8,Multiple object video tracking using GRASP-MHT,China,China,China,35.86166000,104.19539700,edu, 316486bada6023816c785c0d4eb401658737be3f,QoS-Aware scheduling in heterogeneous datacenters with paragon,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 31e1d021bd06054bbfcd915794e84448ae681000,Joint Deep Learning for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 31835472821c7e3090abb42e57c38f7043dc3636,Flow Counting Using Realboosted Multi-sized Window Detectors,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, 31c5d8109f3110fc8b7eeb6265e832e809cdaa39,Recursive Fréchet Mean Computation on the Grassmannian and Its Applications to Computer Vision,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 3146fabd5631a7d1387327918b184103d06c2211,Person-Independent 3D Gaze Estimation Using Face Frontalization,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3146fabd5631a7d1387327918b184103d06c2211,Person-Independent 3D Gaze Estimation Using Face Frontalization,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, +318e7e6daa0a799c83a9fdf7dd6bc0b3e89ab24a,Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis and Application,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 31ffe7b6447221ade78c71c36e8e86279a8478b6,Batch-normalized recurrent highway networks,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 313d5eba97fe064bdc1f00b7587a4b3543ef712a,Compact Deep Aggregation for Set Retrieval,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 3127738c7a634d7b651405cb31fbc52ec7d5806a,Robust Subspace Recovery via Dual Sparsity Pursuit,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, +31ea778b6f5c9c2653eb2bed307ac7b02bcc6894,Dense error correction via l1-minimization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +31f5eebfebac54cf5817deea7da32994637a5b28,Multi-view Metric Learning for Multi-view Video Summarization,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu, 31f5eebfebac54cf5817deea7da32994637a5b28,Multi-view Metric Learning for Multi-view Video Summarization,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, 31f5eebfebac54cf5817deea7da32994637a5b28,Multi-view Metric Learning for Multi-view Video Summarization,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +312620fb93a30b0448ec8ffd728b8ee2858ef74c,Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 312620fb93a30b0448ec8ffd728b8ee2858ef74c,Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, 312620fb93a30b0448ec8ffd728b8ee2858ef74c,Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, +312620fb93a30b0448ec8ffd728b8ee2858ef74c,Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, +312620fb93a30b0448ec8ffd728b8ee2858ef74c,Compact Real-time avoidance on a Humanoid Robot for Human-robot Interaction,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 310dbc59aa3309f2a3813728783d81a9f7f1c939,Estimating contact dynamics,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 31e00cb6451920447cdce252bf73d162fe91d775,DSNet for Real-Time Driving Scene Semantic Segmentation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 31c34a5b42a640b824fa4e3d6187e3675226143e,Shape and texture based facial action and emotion recognition,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, @@ -10479,9 +12905,12 @@ dbedfc2f75e3f821cb6a4b82ae85dc4f48ff1cbb,Improving Accuracy of the Edgebox Appro 3164189f84710de9f8150385a41a7079a57186df,Object detection using edge histogram of oriented gradient,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 312b2566e315dd6e65bd42cfcbe4d919159de8a1,An Accurate Algorithm for Generating a Music Playlist based on Facial Expressions,Amity University,Amity University,"Amity University, Faizabad Road, Uttardhauna, Gomti Nagar, Tiwariganj, Lucknow, Uttar Pradesh, 226010, India",26.85095965,81.04950965,edu, 3147bb14bf4228735ecf4bc2a421590b3de86c0f,Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, -3105fda390d775e6ff7aec1fe7ae42387ec5e672,Convolutional feature masking for joint object and stuff segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +3147bb14bf4228735ecf4bc2a421590b3de86c0f,Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, +3105fda390d775e6ff7aec1fe7ae42387ec5e672,Convolutional feature masking for joint object and stuff segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 319aeaba5dfb4f7de44668bbedbbfdcb7ebc50fa,Gait Learning-Based Regenerative Model: A Level Set Approach,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 3167f415a861f19747ab5e749e78000179d685bc,RankBoost with l1 regularization for facial expression recognition and intensity estimation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +3167f415a861f19747ab5e749e78000179d685bc,RankBoost with l1 regularization for facial expression recognition and intensity estimation,China,China,China,35.86166000,104.19539700,edu, +c7c21e78bdadd1d2d98c43f0be3230e59f008b27,Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, c7c5f0fe1fcaf3787c7f78f7dc62f3497dcfdf3c,The Impact of Product Photo on Online Consumer Purchase Intention: an Image-Processing Enabled Empirical Study,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, c7c5f0fe1fcaf3787c7f78f7dc62f3497dcfdf3c,The Impact of Product Photo on Online Consumer Purchase Intention: an Image-Processing Enabled Empirical Study,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, c7c5f0fe1fcaf3787c7f78f7dc62f3497dcfdf3c,The Impact of Product Photo on Online Consumer Purchase Intention: an Image-Processing Enabled Empirical Study,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -10490,9 +12919,12 @@ c7c53d75f6e963b403057d8ba5952e4974a779ad,Aging effects in automated face recogni c7c53d75f6e963b403057d8ba5952e4974a779ad,Aging effects in automated face recognition,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, c75e6ce54caf17b2780b4b53f8d29086b391e839,"ExpNet: Landmark-Free, Deep, 3D Facial Expressions",Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu, c747c45c2fb3d678954bf1a16a3d9cc4dd4b8f01,Allelic variation in the oxytocin receptor gene and early-emerging social behaviors in boys and girls,University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu, +c78fdd080df01fff400a32fb4cc932621926021f,Robust Automatic Facial Expression Detection Method,China,China,China,35.86166000,104.19539700,edu, +c78fdd080df01fff400a32fb4cc932621926021f,Robust Automatic Facial Expression Detection Method,China,China,China,35.86166000,104.19539700,edu, c7fc1a9dd3c0b2653b0c9ff668cafaff7670da92,An Image-Based Bayesian Framework for Face Detection,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, c72ac3dec0d0b2d5ca4945b07bd6b72c365bdc13,Shorter spontaneous fixation durations in infants with later emerging autism,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, c753521ba6fb06c12369d6fff814bb704c682ef5,Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +c753521ba6fb06c12369d6fff814bb704c682ef5,Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, c74b1643a108939c6ba42ae4de55cb05b2191be5,NON-NEGATIVE MATRIX FACTORIZATION FOR FACE ILLUMINATION ANALYSIS,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, c74b1643a108939c6ba42ae4de55cb05b2191be5,NON-NEGATIVE MATRIX FACTORIZATION FOR FACE ILLUMINATION ANALYSIS,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, c74b1643a108939c6ba42ae4de55cb05b2191be5,NON-NEGATIVE MATRIX FACTORIZATION FOR FACE ILLUMINATION ANALYSIS,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, @@ -10517,6 +12949,7 @@ c79cf7f61441195404472102114bcf079a72138a,Pose-Invariant 2 D Face Recognition by c79cf7f61441195404472102114bcf079a72138a,Pose-Invariant 2 D Face Recognition by Matching Using Graphical Models,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, c71b0ed402437470f229b3fdabb88ad044c092ea,Dynamic Conditional Networks for Few-Shot Learning,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, c71b0ed402437470f229b3fdabb88ad044c092ea,Dynamic Conditional Networks for Few-Shot Learning,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +c71b0ed402437470f229b3fdabb88ad044c092ea,Dynamic Conditional Networks for Few-Shot Learning,China,China,China,35.86166000,104.19539700,edu, c72e6992f44ce75a40f44be4365dc4f264735cfb,Story Understanding in Video Advertisements,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, c7c61d35025943031a0cefeece9a9215fd4019e5,Egocentric Visual Event Classification with Location-Based Priors,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, c71f36c9376d444075de15b1102b4974481be84d,"3D morphable models : data pre-processing, statistical analysis and fitting",University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, @@ -10534,7 +12967,11 @@ c7dd846c0abc896e5fd0940ac07927553cc55734,Neurofunctional Underpinnings of Audiov c7dd846c0abc896e5fd0940ac07927553cc55734,Neurofunctional Underpinnings of Audiovisual Emotion Processing in Teens with Autism Spectrum Disorders,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu, c71db5d3546e22227662ee0f0ce586495ef18899,SALICON: Saliency in Context,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 9405a9180139f23f4dd9d90aa4e86944b35b8c88,Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, +9405a9180139f23f4dd9d90aa4e86944b35b8c88,Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 9405a9180139f23f4dd9d90aa4e86944b35b8c88,Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, +944ea33211d67663e04d0181843db634e42cb2ca,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +944ea33211d67663e04d0181843db634e42cb2ca,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +944ea33211d67663e04d0181843db634e42cb2ca,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9445d51fd7977fb11a34a0e522efdcdee0d5cd95,First-Person Activity Forecasting with Online Inverse Reinforcement Learning,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 944efd74c6fd812c6c495a11e7b045c9b778702e,RCAA: Relational Context-Aware Agents for Person Search,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 944efd74c6fd812c6c495a11e7b045c9b778702e,RCAA: Relational Context-Aware Agents for Person Search,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -10542,8 +12979,12 @@ c71db5d3546e22227662ee0f0ce586495ef18899,SALICON: Saliency in Context,National U 94d5ebe936c101699e678f6f0cddd8a732986814,What you see is what you get: contextual modulation of face scanning in typical and atypical development,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 94d5ebe936c101699e678f6f0cddd8a732986814,What you see is what you get: contextual modulation of face scanning in typical and atypical development,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 94d5ebe936c101699e678f6f0cddd8a732986814,What you see is what you get: contextual modulation of face scanning in typical and atypical development,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, +9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73,A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +9458c518a6e2d40fb1d6ca1066d6a0c73e1d6b73,A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 943a1e218b917172199e524944006aa349f58968,Joint Learning of Intrinsic Images and Semantic Segmentation,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 945cd58065f923e3cdc46a28c2b3f0c22ebfca9e,"Mutual eye gaze facilitates person categorization for typically developing children, but not for children with autism.",University of Aberdeen,University of Aberdeen,"University of Aberdeen, High Street, Old Aberdeen, Aberdeen, Aberdeen City, Scotland, AB24 3EJ, UK",57.16461430,-2.10186013,edu, +94b9c0a6515913bad345f0940ee233cdf82fffe1,Face Recognition using Local Ternary Pattern for Low Resolution Image,India,India,India,20.59368400,78.96288000,edu, +94b9c0a6515913bad345f0940ee233cdf82fffe1,Face Recognition using Local Ternary Pattern for Low Resolution Image,India,India,India,20.59368400,78.96288000,edu, 94e008564e4f091a887fdda379e7d26d90920c54,Stereological Study of Amygdala Glial Populations in Adolescents and Adults with Autism Spectrum Disorder,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, 9409753efbdbf82e1c01a717ff98aa5d4c6d980d,Deep Energies for Estimating Three-Dimensional Facial Pose and Expression,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 94254e7f2524985c78f050bcf1a5793a1076717f,Human Trajectory Forecasting In Indoor Environments Using Geometric Context,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, @@ -10553,12 +12994,14 @@ c71db5d3546e22227662ee0f0ce586495ef18899,SALICON: Saliency in Context,National U 94f093ce723a7112d5698a1e88f437503d2d40af,Identifying The Most Informative Features Using A Structurally Interacting Elastic Net,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 94f093ce723a7112d5698a1e88f437503d2d40af,Identifying The Most Informative Features Using A Structurally Interacting Elastic Net,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 9454399b92939a650f6cc967d129a71c9ffbb59c,An improved algorithm for eye corner detection,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +9454399b92939a650f6cc967d129a71c9ffbb59c,An improved algorithm for eye corner detection,India,India,India,20.59368400,78.96288000,edu, 949d20c44387918cde21f800d8d1cdf53f016bb4,Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 949d20c44387918cde21f800d8d1cdf53f016bb4,Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 94f55752c68351ced0a50c7953bae9dd1b9044e9,Image � based Face Recognition Issues and,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 946c2036c940e77260ade031ba413ec9f2435985,PCA for Gender Estimation: Which Eigenvectors Contribute?,Middle East Technical University,Middle East Technical University,"ODTÜ, 1, 1591.sk(315.sk), Çiğdem Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87549675,32.78553506,edu, 949699d0b865ef35b36f11564f9a4396f5c9cddb,"Processing of facial identity and expression: a psychophysical, physiological, and computational perspective.",Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu, 949699d0b865ef35b36f11564f9a4396f5c9cddb,"Processing of facial identity and expression: a psychophysical, physiological, and computational perspective.",University of Zurich,University of Zurich,"ZHAW, Rosenstrasse, Heiligberg, Altstadt, Winterthur, Bezirk Winterthur, Zürich, 8400, Schweiz/Suisse/Svizzera/Svizra",47.49684760,8.72981767,edu, +94826cb68980e3b89118569c93cfd36f3945fa99,Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 947bd44270618f5a1b046b68f1ada3c11d97b440,GazeDPM: Early Integration of Gaze Information in Deformable Part Models,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 94bf6b804dfcedb0bf6b0d5c711bb7fe305f3704,Looking at faces: autonomous perspective invariant facial gaze analysis,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 9487cea80f23afe9bccc94deebaa3eefa6affa99,"Fast, Dense Feature SDM on an iPhone",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, @@ -10584,16 +13027,26 @@ b33e062f36dec4e49558133426b50c2536cb0a1b,A Learning-Style Theory for Understandi b33e062f36dec4e49558133426b50c2536cb0a1b,A Learning-Style Theory for Understanding Autistic Behaviors,Cardiff University,Cardiff University,"Cardiff University, Park Place, Castle, Cardiff, Wales, CF, UK",51.48799610,-3.17969747,edu, b33e062f36dec4e49558133426b50c2536cb0a1b,A Learning-Style Theory for Understanding Autistic Behaviors,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, b374391ab793a1bb2ecde4df51be9d97c2cbf79a,Improved PCA based Face Recognition using Feature based Classifier Ensemble,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, +b37f57edab685dba5c23de00e4fa032a3a6e8841,Towards social interaction detection in egocentric photo-streams,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, b395e6a9f28c5acbf81a58599283753c033b9540,Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +b395e6a9f28c5acbf81a58599283753c033b9540,Online Face Recognition System Based on Local Binary Patterns and Facial Landmark Tracking,Finland,Finland,Finland,61.92411000,25.74815110,edu, b3ba7ab6de023a0d58c741d6abfa3eae67227caf,Zero-Shot Activity Recognition with Verb Attribute Induction,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, b3330adb131fb4b6ebbfacce56f1aec2a61e0869,Emotion recognition using facial images,SASTRA University,SASTRA University,"SASTRA University, SRC Campus, Big Bazaar Street, கும்பகோணம், Thanjavur district, Tamil Nadu, 612001, India",10.96286550,79.38530651,edu, b3200539538eca54a85223bf0ec4f3ed132d0493,Action Anticipation with RBF Kernelized Feature Mapping RNN,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",China,China,China,35.86166000,104.19539700,edu, +b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",China,China,China,35.86166000,104.19539700,edu, +b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",Russia,Russia,Russia,61.52401000,105.31875600,edu, +b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",China,China,China,35.86166000,104.19539700,edu, b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors","Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",China,China,China,35.86166000,104.19539700,edu, b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",National Chung Hsing University,National Chung Hsing University,"國立中興大學, 145, 興大路, 積善里, 頂橋子頭, 南區, 臺中市, 402, 臺灣",24.12084345,120.67571165,edu, +b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",China,China,China,35.86166000,104.19539700,edu, +b3c73fe9300209045168d0d15a4839f3345de46e,"The 2009 International Symposium on Information Processing ( ISIP 2009 ) 21 – 23 , August 2009 Huangshan , China Editors",Finland,Finland,Finland,61.92411000,25.74815110,edu, b38c7a58b4c5298705b8f63dcb6a1c21ee297af8,"Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation",University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, b38c7a58b4c5298705b8f63dcb6a1c21ee297af8,"Fusing Deep Learned and Hand-Crafted Features of Appearance, Shape, and Dynamics for Automatic Pain Estimation",University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, b357576afb70465e47144aef96955b1e4b9cc1f7,Oriented Response Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, b357576afb70465e47144aef96955b1e4b9cc1f7,Oriented Response Networks,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +b3c398da38d529b907b0bac7ec586c81b851708f,Removing Shadows from Face Images Using ICA,China,China,China,35.86166000,104.19539700,edu, b3f3d6be11ace907c804c2d916830c85643e468d,A Logical Framework for Trust-Related Emotions: Formal and Behavioral Results by Manh Hung NGUYEN Co-supervisors:,University of Toulouse,University of Toulouse,"Toulouse, Lake Charles, Calcasieu Parish, Louisiana, 70605, USA",30.17818160,-93.23605810,edu, b370eb9839be558e7db8390ce342312bd4835be9,Object Localization Does Not Imply Awareness of Object Category at the Break of Continuous Flash Suppression,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, b3a45118534144f50a56653dac8109c73fc2c0e8,A Dataset for Persistent Multi-target Multi-camera Tracking in RGB-D,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, @@ -10607,6 +13060,7 @@ b3e50a64709a62628105546e392cf796f95ea0fb,Clustering via Boundary Erosion,Xiamen b3c8752cada163af9f72d37d2781ecd49b4c8c52,Nonparametric guidance of autoencoder representations using label information,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, b3c8752cada163af9f72d37d2781ecd49b4c8c52,Nonparametric guidance of autoencoder representations using label information,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, b3a82f7df6d19898da0d0a01285b8331e099cea4,Gait-Based Person Identification Using Motion Interchange Patterns,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, +b352bd38298608afab5df341857313c146c1418c,One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding,China,China,China,35.86166000,104.19539700,edu, b352bd38298608afab5df341857313c146c1418c,One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, b352bd38298608afab5df341857313c146c1418c,One-Shot Learning of Sketch Categories with Co-regularized Sparse Coding,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, b3ee1a0ff6cb36621c65c4a7b05a5179db280d35,Neural Caption Generation for News Images,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu, @@ -10615,8 +13069,12 @@ b3345c179be86c3fa7f3fece7d1f0db93e2cf8dc,Perceptual Differences between Men and b36faeba2383cef082f9f3f509dd2098a926e2f5,Speed Up Learning based Descriptor for Face Verification,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, b3d592bfbdeddd4074cf7aa8a832f13cd9d3be0d,Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, b3b532e8ea6304446b1623e83b0b9a96968f926c,Joint Network based Attention for Action Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -b3b532e8ea6304446b1623e83b0b9a96968f926c,Joint Network based Attention for Action Recognition,Beijing Institute of Technology,Beijing Institute of Technology University,"北京理工大学, 5, 中关村南大街, 中关村, 稻香园南社区, 海淀区, 北京市, 100872, 中国",39.95866520,116.30971281,edu, +b3b532e8ea6304446b1623e83b0b9a96968f926c,Joint Network based Attention for Action Recognition,China,China,China,35.86166000,104.19539700,edu, +b3b532e8ea6304446b1623e83b0b9a96968f926c,Joint Network based Attention for Action Recognition,"Beijing Institute of Technology, Beijing, China","Beijing Institute of Technology, Beijing, China","Side Rd of N. 3rd Ring Rd W, Haidian Qu, Beijing Shi, China",39.96443100,116.31031900,edu, b3b920c797259d1340fcd2cee619203821dabe23,Alpha-Beta Divergences Discover Micro and Macro Structures in Data,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +b3ca58539e1407e0fb6b308194234279f78eb1d7,Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning,India,India,India,20.59368400,78.96288000,edu, +b3ca58539e1407e0fb6b308194234279f78eb1d7,Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning,India,India,India,20.59368400,78.96288000,edu, +b3ca58539e1407e0fb6b308194234279f78eb1d7,Structure Aligning Discriminative Latent Embedding for Zero-Shot Learning,India,India,India,20.59368400,78.96288000,edu, b3cc2554449fb10002250bbc178e1009fc2fdb70,Face Recognition Based On Local Zernike Moments,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, b3b467961ba66264bb73ffe00b1830d7874ae8ce,Finding Tiny Faces,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, b3b467961ba66264bb73ffe00b1830d7874ae8ce,Finding Tiny Faces,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -10629,12 +13087,15 @@ b341a33f098ce9dc6dbf5c50e8a1f7fe43fb21f2,Deep learning evaluation using deep lin 3d68cedd80babfbb04ab197a0b69054e3c196cd9,Bimodal information analysis for emotion recognition,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 3ddfa1e5e57c8f439796d092b3059075600198b1,Linear Representation Learning Using Sphere Factor Analysis,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, 3ddfa1e5e57c8f439796d092b3059075600198b1,Linear Representation Learning Using Sphere Factor Analysis,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, +3d7a5d1fbec861542631fcb10f58e38f4f51a04c,Face Recognition Application of Blur-Robust Pitta,India,India,India,20.59368400,78.96288000,edu, +3d7a5d1fbec861542631fcb10f58e38f4f51a04c,Face Recognition Application of Blur-Robust Pitta,India,India,India,20.59368400,78.96288000,edu, 3d33f16ffb3f56e63b8b5c51147b1a07840d734a,Developing Cognitions about Race : White 5-to 10-Year-Olds ’ Perceptions of Hardship and Pain Running head : DEVELOPING COGNITIONS ABOUT RACE,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, 3d33f16ffb3f56e63b8b5c51147b1a07840d734a,Developing Cognitions about Race : White 5-to 10-Year-Olds ’ Perceptions of Hardship and Pain Running head : DEVELOPING COGNITIONS ABOUT RACE,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, 3d1a6a5fd5915e0efb953ede5af0b23debd1fc7f,Bimodal Human Emotion Classification in the Speaker-Dependent Scenario,University of Peshawar,University of Peshawar,"University of Peshawar, Road 2, JAHANGIR ABAD / جهانگیرآباد, پشاور‎, Peshāwar District, خیبر پختونخوا, 2500, ‏پاکستان‎",34.00920040,71.48774947,edu, 3d1a6a5fd5915e0efb953ede5af0b23debd1fc7f,Bimodal Human Emotion Classification in the Speaker-Dependent Scenario,University of Peshawar,University of Peshawar,"University of Peshawar, Road 2, JAHANGIR ABAD / جهانگیرآباد, پشاور‎, Peshāwar District, خیبر پختونخوا, 2500, ‏پاکستان‎",34.00920040,71.48774947,edu, 3d18ce183b5a5b4dcaa1216e30b774ef49eaa46f,Face Alignment in Full Pose Range: A 3D Total Solution,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 3d18ce183b5a5b4dcaa1216e30b774ef49eaa46f,Face Alignment in Full Pose Range: A 3D Total Solution,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +3d0a787aac818909a01e039dd1878fbee52e8765,Viewpoint-aware Attentive Multiview Inference for Vehicle Re-identification,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 3d0a787aac818909a01e039dd1878fbee52e8765,Viewpoint-aware Attentive Multiview Inference for Vehicle Re-identification,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, 3dd5a70191613e0867d32f368fad6ec25c63cfb4,Tensor-Based Cortical Surface Morphometry via Weighted Spherical Harmonic Representation,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 3d855f0665a912ff2c7736cecf9b8eae3effc281,Evaluation of Deep Learning based Pose Estimation for Sign Language,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, @@ -10658,7 +13119,8 @@ b341a33f098ce9dc6dbf5c50e8a1f7fe43fb21f2,Deep learning evaluation using deep lin 3d204dbc13f59f1a1678c773b30a1d85e305f548,Modern Facial Attractiveness : Investigating Gendered Preferences for Dominance and Personality,"University of Colorado, Boulder","University of Colorado, Boulder","Naropa University, Arapahoe Avenue, The Hill, Boulder, Boulder County, Colorado, 80309, USA",40.01407945,-105.26695944,edu, 3d5a4b31e6e25cd0cfefa0b5925674377cdaea7d,Training VAEs Under Structured Residuals,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 3d5a4b31e6e25cd0cfefa0b5925674377cdaea7d,Training VAEs Under Structured Residuals,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, -3d275a4e4f44d452f21e0e0ff6145a5e18e6cf87,CIDEr: Consensus-based image description evaluation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +3d275a4e4f44d452f21e0e0ff6145a5e18e6cf87,CIDEr: Consensus-based image description evaluation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +3d6229044f6605604818f39f08c5270a5a132a03,Projective Nonnegative Matrix Factorization based on α-Divergence,Finland,Finland,Finland,61.92411000,25.74815110,edu, 3dfd94d3fad7e17f52a8ae815eb9cc5471172bc0,Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, 3dfd94d3fad7e17f52a8ae815eb9cc5471172bc0,Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions,University of Copenhagen,University of Copenhagen,"Københavns Universitet, Krystalgade, Kødbyen, Vesterbro, København, Københavns Kommune, Region Hovedstaden, 1165, Danmark",55.68015020,12.57232700,edu, 3d22f972448a2336677ae6ff2877fae010c7dfa2,What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, @@ -10667,64 +13129,97 @@ b341a33f098ce9dc6dbf5c50e8a1f7fe43fb21f2,Deep learning evaluation using deep lin 3db59805f585447d2946a00b9277f59707396f0f,Predicting Human Performance for Face Recognition 1,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, 3db59805f585447d2946a00b9277f59707396f0f,Predicting Human Performance for Face Recognition 1,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, 3db59805f585447d2946a00b9277f59707396f0f,Predicting Human Performance for Face Recognition 1,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, +3db123d094c7ba33bbd3c4ccbea77e2093ad6174,Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +3da12b99cd8040bb374eed160f8016b3fe492967,Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3d81625b6d51ee81c95333aceaa3f60094f01d6b,Deep Learning Strong Parts for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 3d81625b6d51ee81c95333aceaa3f60094f01d6b,Deep Learning Strong Parts for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 3d81625b6d51ee81c95333aceaa3f60094f01d6b,Deep Learning Strong Parts for Pedestrian Detection,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 3dfb822e16328e0f98a47209d7ecd242e4211f82,Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +3dfb822e16328e0f98a47209d7ecd242e4211f82,Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments,China,China,China,35.86166000,104.19539700,edu, 3dbfd2fdbd28e4518e2ae05de8374057307e97b3,Improving face detection,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu, 3d69d634f79dfcc717e18f73c886b854a157a3ef,Mix-and-Match Tuning for Self-Supervised Semantic Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 3dc6f72bda1707e6a96174ff943991bb2b7ff319,VISALOGY: Answering Visual Analogy Questions,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, -3dc6f72bda1707e6a96174ff943991bb2b7ff319,VISALOGY: Answering Visual Analogy Questions,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +3dc6f72bda1707e6a96174ff943991bb2b7ff319,VISALOGY: Answering Visual Analogy Questions,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 3dc6f72bda1707e6a96174ff943991bb2b7ff319,VISALOGY: Answering Visual Analogy Questions,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 3d3fdeb8792859543d791e34af4005a80f348eed,Children's racial bias in perceptions of others' pain.,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, 3d3fdeb8792859543d791e34af4005a80f348eed,Children's racial bias in perceptions of others' pain.,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, 3d0379688518cc0e8f896e30815d0b5e8452d4cd,Autotagging Facebook: Social network context improves photo annotation,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 3d0379688518cc0e8f896e30815d0b5e8452d4cd,Autotagging Facebook: Social network context improves photo annotation,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, +3d6ee995bc2f3e0f217c053368df659a5d14d5b5,Learning a Two-Dimensional Fuzzy Discriminant Locality Preserving Subspace for Visual Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3d6ee995bc2f3e0f217c053368df659a5d14d5b5,Learning a Two-Dimensional Fuzzy Discriminant Locality Preserving Subspace for Visual Recognition,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, +3da97d97b12fcf22208c36f471119f33a08d9b6f,Multi-modal Biometric system using ear and face ( 2 D + 3 D ) Modalities,India,India,India,20.59368400,78.96288000,edu, +3da97d97b12fcf22208c36f471119f33a08d9b6f,Multi-modal Biometric system using ear and face ( 2 D + 3 D ) Modalities,India,India,India,20.59368400,78.96288000,edu, 3dabf7d853769cfc4986aec443cc8b6699136ed0,Data Mining Spontaneous Facial Behavior with Automatic Expression Coding,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 3dabf7d853769cfc4986aec443cc8b6699136ed0,Data Mining Spontaneous Facial Behavior with Automatic Expression Coding,Sabanci University,Sabanci University,"Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepeören, Tuzla, İstanbul, Marmara Bölgesi, 34953, Türkiye",40.89271590,29.37863323,edu, 3d9db1cacf9c3bb7af57b8112787b59f45927355,Improving Medical Students’ Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 3d9db1cacf9c3bb7af57b8112787b59f45927355,Improving Medical Students’ Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 3d9db1cacf9c3bb7af57b8112787b59f45927355,Improving Medical Students’ Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 3d9db1cacf9c3bb7af57b8112787b59f45927355,Improving Medical Students’ Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, +3d9db1cacf9c3bb7af57b8112787b59f45927355,Improving Medical Students’ Awareness of Their Non-Verbal Communication through Automated Non-Verbal Behavior Feedback,University of Genoa,"University of Genoa, Italy","Via Balbi, 5, 16126 Genova GE, Italy",44.41490290,8.92674300,edu, 3d4e6fb9c238c490f57aed72bcf9a81ea5f28972,A Discriminative Model for Learning Semantic and Geometric Interactions in Indoor Scenes ∗,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 3d5f8847e52a7082cbae49003b17b793755ac401,Pedestrian Detection Based on Multi-Block Local Binary Pattern and Biologically Inspired Feature,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +3d5f8847e52a7082cbae49003b17b793755ac401,Pedestrian Detection Based on Multi-Block Local Binary Pattern and Biologically Inspired Feature,China,China,China,35.86166000,104.19539700,edu, 3d50dbf48cbfdb5cabf53d9163b7a1d612e21d1d,CADP : A Novel Dataset for CCTV Traffic Camera based Accident Analysis,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3d50dbf48cbfdb5cabf53d9163b7a1d612e21d1d,CADP : A Novel Dataset for CCTV Traffic Camera based Accident Analysis,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +3d1b0c7e9ef0e31dd635041539e795dc07ebee86,Tracking people in 3D using a bottom-up top-down detector,University of Freiburg,"Social Robotics Lab, University of Freiburg, Germany","Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany",47.99354410,7.84594960,edu, +3dd1338a5d0aa47fa2aef31654ee1392b8089991,Crowdsourcing the construction of a 3D object recognition database for robotic grasping,China,China,China,35.86166000,104.19539700,edu, +3d62b2f9cef997fc37099305dabff356d39ed477,Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3d00fad9ebc9c4cd13bef710de91f4c9d1870887,LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images,"CSIC-UPC, Barcelona, Spain","Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Barcelona, Spain","C/ Llorens i Artigas 4-6, 08028 Barcelona, Spain",41.38295500,2.11573820,edu, 3d00fad9ebc9c4cd13bef710de91f4c9d1870887,LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 3d00fad9ebc9c4cd13bef710de91f4c9d1870887,LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images,École Polytechnique Fédérale de Lausanne,"École Polytechnique Fédérale de Lausanne (EPFL), Switzerland","Bibliothèque de l'EPFL, Route des Noyerettes, Ecublens, District de l'Ouest lausannois, Vaud, 1024, Schweiz/Suisse/Svizzera/Svizra",46.51841210,6.56846540,edu, 3d24b386d003bee176a942c26336dbe8f427aadd,Sequential Person Recognition in Photo Albums with a Recurrent Network,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 3d25eb8241345f86101fda145d95d89c27844fd1,Distributed Submodular Maximization: Identifying Representative Elements in Massive Data,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +3d67e97227846f579d1825e00d395d30e17f5d0e,Face and ECG Based Multi-Modal Biometric Authentication,Ternopil National Economic University,Ternopil National Economic University,"Tarasa Shevchenka Blvd, 9, Ternopil, Ternopil's'ka oblast, Ukraine, 46000",49.55500790,25.59543550,edu, +3d5575e9ba02128d94c20330f4525fc816411ec2,Learning Video Object Segmentation from Static Images,Disney Research,Disney Research,"521 Circle 7 Dr, Glendale, CA 91201, USA",34.15797420,-118.28947290,edu, 3d5575e9ba02128d94c20330f4525fc816411ec2,Learning Video Object Segmentation from Static Images,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 3d0660e18c17db305b9764bb86b21a429241309e,Counting Everyday Objects in Everyday Scenes,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 3d0f9a3031bee4b89fab703ff1f1d6170493dc01,SVDD-Based Illumination Compensation for Face Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 3d0f9a3031bee4b89fab703ff1f1d6170493dc01,SVDD-Based Illumination Compensation for Face Recognition,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, +3da4fa2365c01f53180050c7d332107089d913c0,Face Recognition Using Parzenfaces,Finland,Finland,Finland,61.92411000,25.74815110,edu, 3dc0a3803c6e1c3c32192a5378100faa2a57ee3e,FlipDial: A Generative Model for Two-Way Visual Dialogue,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 3dc0a3803c6e1c3c32192a5378100faa2a57ee3e,FlipDial: A Generative Model for Two-Way Visual Dialogue,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 3dc0a3803c6e1c3c32192a5378100faa2a57ee3e,FlipDial: A Generative Model for Two-Way Visual Dialogue,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 3dc0a3803c6e1c3c32192a5378100faa2a57ee3e,FlipDial: A Generative Model for Two-Way Visual Dialogue,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +ef3697668eb643de27995827c630cfd029b10c37,Online self-supervised multi-instance segmentation of dynamic objects,China,China,China,35.86166000,104.19539700,edu, ef2a5a26448636570986d5cda8376da83d96ef87,Recurrent Neural Networks and Transfer Learning for Action Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, ef2a5a26448636570986d5cda8376da83d96ef87,Recurrent Neural Networks and Transfer Learning for Action Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +ef9081d153f96b96183666a5086c63cecf2f33e6,D Face Recognition Using Radon Transform and Symbolic PCA,India,India,India,20.59368400,78.96288000,edu, ef8de1bd92e9ee9d0d2dee73095d4d348dc54a98,Fine-grained Activity Recognition with Holistic and Pose based Features,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, ef8de1bd92e9ee9d0d2dee73095d4d348dc54a98,Fine-grained Activity Recognition with Holistic and Pose based Features,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, ef87221a8297a6058911c94db46b7a31c061f0e1,Shape and Texture Based Deformable Models for Facial Image Analysis ?,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, ef87221a8297a6058911c94db46b7a31c061f0e1,Shape and Texture Based Deformable Models for Facial Image Analysis ?,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, ef3b777cbe362a5e97c5ef27eb3289ebfdb70b53,Improving Reinforcement Learning Based Image Captioning with Natural Language Prior,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, ef27172c2a0f5e33e588c6f7731004e461127a3f,Coupled Metric Learning for Face Recognition with Degraded Images,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +ef27172c2a0f5e33e588c6f7731004e461127a3f,Coupled Metric Learning for Face Recognition with Degraded Images,China,China,China,35.86166000,104.19539700,edu, +ef27172c2a0f5e33e588c6f7731004e461127a3f,Coupled Metric Learning for Face Recognition with Degraded Images,China,China,China,35.86166000,104.19539700,edu, ef27172c2a0f5e33e588c6f7731004e461127a3f,Coupled Metric Learning for Face Recognition with Degraded Images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +ef27172c2a0f5e33e588c6f7731004e461127a3f,Coupled Metric Learning for Face Recognition with Degraded Images,China,China,China,35.86166000,104.19539700,edu, +efb56e7488148d52d3b8a2dae9f8880b273f4226,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN",Russia,Russia,Russia,61.52401000,105.31875600,edu, eff328e0ecfb9a7a2d6664ee38aa32a61c7b9f42,Visual Question Reasoning on General Dependency Tree,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, ef7039febee4a8dee83d2fcb58696bd276f923de,Distributed Simulation Platform for Autonomous Driving,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, +ef5f604fef0a8bbc7c6f8732db17fb611a39adda,Principle Component Analysis of Low Level Feature Based Face Recognition System,India,India,India,20.59368400,78.96288000,edu, +ef5f604fef0a8bbc7c6f8732db17fb611a39adda,Principle Component Analysis of Low Level Feature Based Face Recognition System,India,India,India,20.59368400,78.96288000,edu, +efcedd5750f57f4c7f748783e91918e0f42da61f,Global Haar-Like Features: A New Extension of Classic Haar Features for Efficient Face Detection in Noisy Images,The University of Auckland,"The University of Auckland, New Zealand","Auckland 1010, New Zealand",-36.85233780,174.76910730,edu, effa69fab7c4fdb30265a4bb404f869d327ae326,Recognizing Human Actions by Their Pose,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, +ef3ef27557fa7ba64ab1f4d89dbdac86c55b760c,Face Verification System based on Integral Normalized Gradient Image(INGI),India,India,India,20.59368400,78.96288000,edu, +ef3ef27557fa7ba64ab1f4d89dbdac86c55b760c,Face Verification System based on Integral Normalized Gradient Image(INGI),India,India,India,20.59368400,78.96288000,edu, +ef3ef27557fa7ba64ab1f4d89dbdac86c55b760c,Face Verification System based on Integral Normalized Gradient Image(INGI),India,India,India,20.59368400,78.96288000,edu, +ef3ef27557fa7ba64ab1f4d89dbdac86c55b760c,Face Verification System based on Integral Normalized Gradient Image(INGI),India,India,India,20.59368400,78.96288000,edu, efd28eabebb9815e34031316624e7f095c7dfcfe,Combining Face with Face-Part Detectors under Gaussian Assumption,University of Salzburg,University of Salzburg,"Universität Salzburg - Unipark, 1, Erzabt-Klotz-Straße, Nonntal, Salzburg, 5020, Österreich",47.79475945,13.05417525,edu, +ef940b76e40e18f329c43a3f545dc41080f68748,A Face Recognition and Spoofing Detection Adapted to Visually-Impaired People,India,India,India,20.59368400,78.96288000,edu, +efa2b259407b5b9171dd085061d05b72b6309eb0,"Egocentric Activity Recognition Using HOG , HOF , MBH and Combined features",Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu, +efa2b259407b5b9171dd085061d05b72b6309eb0,"Egocentric Activity Recognition Using HOG , HOF , MBH and Combined features",Annamalai University,Annamalai University,"1240 Ellesmere Rd, Scarborough, ON M1P 2X4, Canada",43.76915900,-79.26714450,edu, efc7a620e21abbc882d5a26f0e7a78ae6960be20,FEED-BACK METHOD BASED ON IMAGE PROCESSING FOR DETECTING HUMAN BODY VIA,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, ef458499c3856a6e9cd4738b3e97bef010786adb,Learning Type-Aware Embeddings for Fashion Compatibility,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, -ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, -ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +ef1b6fccfd5c0ff019699c21959a93368aef4197,Improving fairness in machine learning systems: What do industry practitioners need?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +ef559d5f02e43534168fbec86707915a70cd73a0,DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis,China,China,China,35.86166000,104.19539700,edu, +ef559d5f02e43534168fbec86707915a70cd73a0,DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis,China,China,China,35.86166000,104.19539700,edu, ef29e5515b9ae3af358e511a7faa8cdc69bd073b,Neural bases for impaired social cognition in schizophrenia and autism spectrum disorders,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +ef88a02f9b624fe34f4b20ac7beb9ca4f44afe83,Scale robust IMU-assisted KLT for stereo visual odometry solution,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, efa2aacb0fbee857015fad1dba72767f56be6f39,Aggregating Crowdsourced Image Segmentations,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, efa2aacb0fbee857015fad1dba72767f56be6f39,Aggregating Crowdsourced Image Segmentations,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" efa2aacb0fbee857015fad1dba72767f56be6f39,Aggregating Crowdsourced Image Segmentations,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -10732,27 +13227,41 @@ efcaeb699b4e841453f1948140430421c2422a85,Touchdown: Natural Language Navigation eff87ecafed67cc6fc4f661cb077fed5440994bb,Evaluation of expression recognition techniques,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, eff87ecafed67cc6fc4f661cb077fed5440994bb,Evaluation of expression recognition techniques,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, ef1d48feca1b4589e4dfa607e06e23f84d09d967,Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, +ef2c56cc84f4392d537af740abbfc371d015ef03,3D Pose from Detections,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers for Robust Classification,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu, -974cadd15684c96618d04f845794cec5568a86a6,Greedy Inference Algorithms for Structured and Neural Models,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers for Robust Classification,India,India,India,20.59368400,78.96288000,edu, +974cadd15684c96618d04f845794cec5568a86a6,Greedy Inference Algorithms for Structured and Neural Models,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, 975af82c9ce82a1fad760d58ba0a661217689aa9,Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 97dbcc592ed048db545c6e9ed1f27372e8d1d4b8,Omnidirectional Gait Identification by Tilt Normalization and Azimuth View Transformation,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 9716416a15e79a36e3481bcdad79cdc905603e6d,Gaussian Word Embedding with a Wasserstein Distance Loss,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 9716416a15e79a36e3481bcdad79cdc905603e6d,Gaussian Word Embedding with a Wasserstein Distance Loss,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +9716416a15e79a36e3481bcdad79cdc905603e6d,Gaussian Word Embedding with a Wasserstein Distance Loss,China,China,China,35.86166000,104.19539700,edu, +97d1d561362a8b6beb0fdbee28f3862fb48f1380,Age Synthesis and Estimation via Faces: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9726b40319f98a272af3a65b031f5736d23fccba,Particle dynamics and multi-channel feature dictionaries for robust visual tracking,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, 97711a255ead64265fe3736ce8a2392ef5c75ff0,Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 97b3185d948c45a00a190ce0a26abd23e77c9edf,Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 97b930a4fa4670a609b6ee8811409090fe55b313,Integrating Gaze Tracking and Head-Motion Prediction for Mobile Device Authentication: A Proof of Concept,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 97b930a4fa4670a609b6ee8811409090fe55b313,Integrating Gaze Tracking and Head-Motion Prediction for Mobile Device Authentication: A Proof of Concept,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 97429525089ca6bf3b4571274667c92a1677b7d9,DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +978d9a5251028da5a23fd0aed8234ed22b4918c5,Reduced Eigen Space Dimensionality for Fast Face Recognition,India,India,India,20.59368400,78.96288000,edu, +978d9a5251028da5a23fd0aed8234ed22b4918c5,Reduced Eigen Space Dimensionality for Fast Face Recognition,India,India,India,20.59368400,78.96288000,edu, 970b4d2ed1249af97cdf2fffdc7b4beae458db89,HMDB: A large video database for human motion recognition,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 970b4d2ed1249af97cdf2fffdc7b4beae458db89,HMDB: A large video database for human motion recognition,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 974b9f0af3af675c092b96e7ac68e391cffdcf49,Person Re-identification Using Data-Driven Metric Adaptation,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +974b9f0af3af675c092b96e7ac68e391cffdcf49,Person Re-identification Using Data-Driven Metric Adaptation,China,China,China,35.86166000,104.19539700,edu, +974b9f0af3af675c092b96e7ac68e391cffdcf49,Person Re-identification Using Data-Driven Metric Adaptation,China,China,China,35.86166000,104.19539700,edu, 974b9f0af3af675c092b96e7ac68e391cffdcf49,Person Re-identification Using Data-Driven Metric Adaptation,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 977bedd692c240c162481ef769b31e0f5455469a,A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +977bedd692c240c162481ef769b31e0f5455469a,A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model,China,China,China,35.86166000,104.19539700,edu, +97ee35db6b389a7bcc4b7975d12dbcd165226aad,Structured Learning of Human Interactions in TV Shows,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +97ee35db6b389a7bcc4b7975d12dbcd165226aad,Structured Learning of Human Interactions in TV Shows,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +972ef9ddd9059079bdec17abc8b33039ed25c99c,Novel on understanding How IRIS Recognition works,India,India,India,20.59368400,78.96288000,edu, +972ef9ddd9059079bdec17abc8b33039ed25c99c,Novel on understanding How IRIS Recognition works,India,India,India,20.59368400,78.96288000,edu, 97ffadd639eb27d73b86fd5520d9d6b81772b891,Deep Generative Models for Distribution-Preserving Lossy Compression,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, -97304c55262bbd9354aa78d2f52eb73d0a13c9ff,Deep Disentangled Representations for Volumetric Reconstruction,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +97304c55262bbd9354aa78d2f52eb73d0a13c9ff,Deep Disentangled Representations for Volumetric Reconstruction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 97137d5154a9f22a5d9ecc32e8e2b95d07a5a571,Facial expression recognition based on local region specific features and support vector machines,Korea Electronics Technology Institute,Korea Electronics Technology Institute,"South Korea, Gyeonggi-do, Seongnam-si, Bundang-gu, 새나리로 25 (야탑동) KETI 전자부품연구원",37.40391700,127.15978600,edu, 97295e92dfe49f37de65c5130097ccab84cfe2f7,Inner Space Preserving Generative Pose Machine,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +97d811ae99bcbcf9f63c2f447041ab6d74a20b1e,Face recognition using truncated transform domain feature extraction,India,India,India,20.59368400,78.96288000,edu, 97463b5a0fef72a576367f55d46aa3eb7576ae01,Methodical Analysis of Western-Caucasian and East-Asian Basic Facial Expressions of Emotions Based on Specific Facial Regions,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, 976e0264bb57786952a987d4456850e274714fb8,Improving Semantic Concept Detection through the Dictionary of Visually-Distinct Elements,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 977beecdf0b5c3487d03738cff501c79770f0858,"Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training",Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, @@ -10767,6 +13276,7 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers 97e569159d5658760eb00ca9cb662e6882d2ab0e,Correlation Filters for Object Alignment,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 97e569159d5658760eb00ca9cb662e6882d2ab0e,Correlation Filters for Object Alignment,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 97f665219a42faa8e625625257cc35f5dcbaf0ba,Multi-View Pose and Facial Expression Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +97b54703c267deef8c86ab6240c24d76a59864e7,Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9758f3fd94239a8d974217fe12599f88fb413f3d,UC-HCC Submission to Thumos 2014,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, 97930609f1a5066fd437ed8a4e57abbfb1ae4b12,Best Practices in Testing and Reporting Performance of Biometric Devices Produced for the Biometrics Working Group By,San Jose State University,San Jose State University,"SJSU, El Paseo de Cesar E. Chavez, Downtown Historic District, Japantown, San José, Santa Clara County, California, 95113, USA",37.33519080,-121.88126008,edu, 9785429538389146c8061ec856e74e957a246f2d,DARI: distance metric and representation integration for person verification,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, @@ -10782,8 +13292,11 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers 5d2a01e3a445a92ecdce5f20656fd87e65982708,Learning Convolutional Feature Hierarchies for Visual Recognition,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu, 5d28a54b1b27280482463df85bb66bc2914ff893,Multi-Object Tracking with Correlation Filter for Autonomous Vehicle,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 5d5533b8b95f25f63e07786cf3e063c8db356f1f,Human Observers and Automated Assessment of Dynamic Emotional Facial Expressions: KDEF-dyn Database Validation,Universität Hamburg,Universität Hamburg,"Informatikum, 30, Vogt-Kölln-Straße, Stellingen, Eimsbüttel, Hamburg, 22527, Deutschland",53.59948200,9.93353436,edu, +5d5533b8b95f25f63e07786cf3e063c8db356f1f,Human Observers and Automated Assessment of Dynamic Emotional Facial Expressions: KDEF-dyn Database Validation,China,China,China,35.86166000,104.19539700,edu, 5dd496e58cfedfc11b4b43c4ffe44ac72493bf55,Discriminative convolutional Fisher vector network for action recognition,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +5db075a308350c083c3fa6722af4c9765c4b8fef,The Novel Method of Moving Target Tracking Eyes Location based on SIFT Feature Matching and Gabor Wavelet Algorithm,China,China,China,35.86166000,104.19539700,edu, 5da8e841871e4a97534d981ee20002b183b45508,BSN: Boundary Sensitive Network for Temporal Action Proposal Generation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +5da8e841871e4a97534d981ee20002b183b45508,BSN: Boundary Sensitive Network for Temporal Action Proposal Generation,China,China,China,35.86166000,104.19539700,edu, 5d2b396447fae5a64cbe6b5ef5e99ca2b88c2914,Vehicle Re-Identification with the Space-Time Prior,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 5d7f52a7d9814688c13b84ab35526fc9bf57d1bf,Large-Scale Category Structure Aware Image Categorization,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5d7f52a7d9814688c13b84ab35526fc9bf57d1bf,Large-Scale Category Structure Aware Image Categorization,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -10803,6 +13316,7 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers 5d56587ee5652fc9bd7e3bdf5a533b4f627b6487,A Graph-Based Algorithm for Supervised Image Classification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 5df0fed3b37ffac6d0ae7c0a3ccce41c7044e8e8,Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, 5d2d797ee4053dada784639d7462abbfb2220031,Guided Open Vocabulary Image Captioning with Constrained Beam Search,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +5d2d797ee4053dada784639d7462abbfb2220031,Guided Open Vocabulary Image Captioning with Constrained Beam Search,Macquarie University,"Macquarie University, Sydney, Australia","Balaclava Rd, Macquarie Park NSW 2109, Australia",-33.77382370,151.11264980,edu, 5dc7c33475b545271d1de726fd88bb68dfb7e11b,Generating Video Description using RNN with Semantic Attention,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 5dc7c33475b545271d1de726fd88bb68dfb7e11b,Generating Video Description using RNN with Semantic Attention,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 5d1c4e93e32ee686234c5aae7f38025523993c8c,Towards Pose Robust Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -10815,15 +13329,22 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers 5d3b6c9a0a8b71b875a565f5cd133d83817fdc38,3D facial expression recognition based on automatically selected features,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 5d58d4164493924906231a28153e50342fdf1198,Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 5d58d4164493924906231a28153e50342fdf1198,Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking,University of North Carolina,University of North Carolina,"University of North Carolina, Emergency Room Drive, Chapel Hill, Orange County, North Carolina, 27599, USA",35.90503535,-79.04775327,edu, +5d7395085f2636dd2b6262bc7f3fef14058f4765,Regularizing Deep Networks by Modeling and Predicting Label Structure,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, +5da53a17165fcc64e8fb6e9ca532bfb6d95ff622,RSCM: Region Selection and Concurrency Model for Multi-Class Weather Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5da9a5367bd70c004ad9b7e8cee95059490e33fc,The TUM-DLR Multimodal Earth Observation Evaluation Benchmark,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 5d88702cdc879396b8b2cc674e233895de99666b,Exploiting Feature Hierarchies with Convolutional Neural Networks for Cultural Event Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 5d88702cdc879396b8b2cc674e233895de99666b,Exploiting Feature Hierarchies with Convolutional Neural Networks for Cultural Event Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5dc52c64991c655a12936867594326cf6352eb8e,Constructing Local Binary Pattern Statistics by Soft Voting,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 7ab90189c9c66298c900fde3de4c8d77fd035d80,Long-Term On-Board Prediction of Pedestrians in Traffic Scenes,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +7a2d1ab82eacbc92ec4cedbf2d7432bf0194c6df,Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique : A Review,India,India,India,20.59368400,78.96288000,edu, 7ab02556d18d116228a964e38b7f454cf9f2b189,Findings of the E2E NLG Challenge,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, +7af667b6c1b4b32f513dd70fe3ef36fcf344a741,A transfer learning based approach for automated grading of Gliomas using deep Residual Networks,India,India,India,20.59368400,78.96288000,edu, +7af667b6c1b4b32f513dd70fe3ef36fcf344a741,A transfer learning based approach for automated grading of Gliomas using deep Residual Networks,India,India,India,20.59368400,78.96288000,edu, +7af667b6c1b4b32f513dd70fe3ef36fcf344a741,A transfer learning based approach for automated grading of Gliomas using deep Residual Networks,India,India,India,20.59368400,78.96288000,edu, 7a6bacdbc04d06842dd68d27b9f065f472b5aa1f,Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning,Bar-Ilan University,Bar-Ilan University,"אוניברסיטת בר אילן, כביש גהה, גבעת שמואל, קריית מטלון, גבעת שמואל, מחוז תל אביב, NO, ישראל",32.06932925,34.84334339,edu, 7a131fafa7058fb75fdca32d0529bc7cb50429bd,Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 7a3d46f32f680144fd2ba261681b43b86b702b85,Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +7a3d46f32f680144fd2ba261681b43b86b702b85,Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification,China,China,China,35.86166000,104.19539700,edu, 7a3d46f32f680144fd2ba261681b43b86b702b85,Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 7a84368ebb1a20cc0882237a4947efc81c56c0c0,Robust and efficient parametric face alignment,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 7a84368ebb1a20cc0882237a4947efc81c56c0c0,Robust and efficient parametric face alignment,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, @@ -10836,9 +13357,11 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers 7af15295224c3ad69d56f17ff635763dd008a8a4,Learning Support Vectors for Face Authentication : Sensitivity to Mis-Registrations,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, 7a7f2403e3cc7207e76475e8f27a501c21320a44,Emotion recognition from multi-modal information,National Cheng Kung University,National Cheng Kung University,"成大, 1, 大學路, 大學里, 前甲, 東區, 臺南市, 70101, 臺灣",22.99919160,120.21625134,edu, 7a76c45fdaaa2756233d00b4b1f2e3a580df9870,Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +7a76c45fdaaa2756233d00b4b1f2e3a580df9870,Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines,China,China,China,35.86166000,104.19539700,edu, 7a1ce696e260899688cb705f243adf73c679f0d9,Predicting Missing Demographic Information in Biometric Records Using Label Propagation Techniques,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 7a1ce696e260899688cb705f243adf73c679f0d9,Predicting Missing Demographic Information in Biometric Records Using Label Propagation Techniques,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 7a65fc9e78eff3ab6062707deaadde024d2fad40,A Study on Apparent Age Estimation,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, +7a65fc9e78eff3ab6062707deaadde024d2fad40,A Study on Apparent Age Estimation,China,China,China,35.86166000,104.19539700,edu, 7a7b386385ec5a458c6d45f58c399941c2f054d6,3D Model-Based Face Recognition in Video,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 7a00365f9c7bced9ce47246794932f60564cb662,Converging evidence of configural processing of faces in high-functioning adults with autism spectrum disorders,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu, 7a6e3afd6c52304f36bdc7da9f65b8ab44362aa4,UNICITY : A depth maps database for people detection in security airlocks,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, @@ -10846,14 +13369,24 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers 7acd36ba0b59849d49bfc01cef11d18d2bcad76f,Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells.,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 7a4ea124a971bdda4acea4b539092d4d22c0e169,Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB,Keio University,Keio University,"綱島市民の森, けつわり坂, 港北区, 横浜市, 神奈川県, 関東地方, 223-0053, 日本",35.54169690,139.63471840,edu, 7a7b84b8d8c1edb07f16180ef2c243ef30d85e1d,TrustZone-Assisted Facial Authentication on Smartphone,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, +7a39a3ca168dfebb2e2d55b3fca0f750b32896da,BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 7a39a3ca168dfebb2e2d55b3fca0f750b32896da,BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +7a39a3ca168dfebb2e2d55b3fca0f750b32896da,BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, +7a8ba1a6c90b56ae0a98fe43d015ab0f2a73912e,A Vision-Based Hybrid Method for Eye Detection and Tracking,China,China,China,35.86166000,104.19539700,edu, 7acbc7edfeee7c3a19b6f204e1c290172150db5c,On the Effects of Illumination Normalization with LBP-Based Watchlist Screening,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +7a3676dcf55e22c7249eac7615174309617c8246,Joint Feature Learning With Robust Local Ternary Pattern for Face Recognition,India,India,India,20.59368400,78.96288000,edu, +7a3676dcf55e22c7249eac7615174309617c8246,Joint Feature Learning With Robust Local Ternary Pattern for Face Recognition,India,India,India,20.59368400,78.96288000,edu, +7a7db5a1325844b62d2ecf8489872c8f515f1c37,Nuclear Norm-Based 2-DPCA for Extracting Features From Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7ac25c5391251611696d16e677bd71040d80d583,Person Re-Identification by Saliency Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7ac25c5391251611696d16e677bd71040d80d583,Person Re-Identification by Saliency Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7a923514c02872e9118b49f81d52f750a2c209a6,End-to-End Learning of Energy-Constrained Deep Neural Networks,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 7a04b5db3f589ac857b51effa1be3eae7fa8dd4e,Abnormal spatiotemporal processing of emotional facial expressions in childhood autism: dipole source analysis of event-related potentials.,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, 7a04b5db3f589ac857b51effa1be3eae7fa8dd4e,Abnormal spatiotemporal processing of emotional facial expressions in childhood autism: dipole source analysis of event-related potentials.,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, 7a04b5db3f589ac857b51effa1be3eae7fa8dd4e,Abnormal spatiotemporal processing of emotional facial expressions in childhood autism: dipole source analysis of event-related potentials.,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, 7ae8bca039d0d3de01001c3cd587f1961c4bbe22,Learning Visual Symbols for Parsing Human Poses in Images,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +7ae8bca039d0d3de01001c3cd587f1961c4bbe22,Learning Visual Symbols for Parsing Human Poses in Images,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 7a596f0c23f4368f6a3856df6cc652f1988c5d3f,Combining background subtraction and temporal persistency in pedestrian detection from static videos,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +7a596f0c23f4368f6a3856df6cc652f1988c5d3f,Combining background subtraction and temporal persistency in pedestrian detection from static videos,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 7af8fa8897c6f1ec1e7f9eadb01f74b48c185588,Improving Global Multi-target Tracking with Local Updates,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 7af8fa8897c6f1ec1e7f9eadb01f74b48c185588,Improving Global Multi-target Tracking with Local Updates,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 7add83ab4ec0e856d88f6e76ea4f585e80def1fa,People re-identification in camera networks based on probabilistic color histograms,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, @@ -10873,29 +13406,44 @@ ef2e36daf429899bb48d80ce6804731c3f99bb85,Adapting RANSAC SVM to Detect Outliers 7a8e54033d166bb5bcb2acfc89c2659b45baa6e6,Creativity: Generating Diverse Questions Using Variational Autoencoders,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, 7a52eb0886892c04c6c80b78795d880a70796cb6,Perceptual distance normalization for appearance detection,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 7a9890cdbb62a60ba88a515655535151b568bc44,TAEF: A cross-distance/environment face recognition method,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +7ad204758df6c921010d9967a5b7449dd406ea56,Deep Face Quality Assessment,India,India,India,20.59368400,78.96288000,edu, a9fc23d612e848250d5b675e064dba98f05ad0d9,Face Age Estimation Approach based on Deep Learning and Principle Component Analysis,Benha University,Benha University,"كلية الهندسة بشبرا جامعة بنها, شارع اليازجي, روض الفرج, القاهرة, محافظة القاهرة, 2466, مصر",30.08187270,31.24454841,edu, a9fc23d612e848250d5b675e064dba98f05ad0d9,Face Age Estimation Approach based on Deep Learning and Principle Component Analysis,Benha University,Benha University,"كلية الهندسة بشبرا جامعة بنها, شارع اليازجي, روض الفرج, القاهرة, محافظة القاهرة, 2466, مصر",30.08187270,31.24454841,edu, a9ab913cd7d2330b93e0cdab3d5fe6cc47d74513,Beyond Flickr: Not All Image Tagging Is Created Equal,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, +a96a7a381872ae40179ded0d79f905da0455d9d1,Segmentation of Saimaa Ringed Seals for Identification Purposes,Lappeenranta University of Technology,"Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland","Yliopistonkatu 34, 53850 Lappeenranta, Finland",61.06456790,28.09324600,edu, +a96a7a381872ae40179ded0d79f905da0455d9d1,Segmentation of Saimaa Ringed Seals for Identification Purposes,Finland,Finland,Finland,61.92411000,25.74815110,edu, +a96a7a381872ae40179ded0d79f905da0455d9d1,Segmentation of Saimaa Ringed Seals for Identification Purposes,Finland,Finland,Finland,61.92411000,25.74815110,edu, +a96a7a381872ae40179ded0d79f905da0455d9d1,Segmentation of Saimaa Ringed Seals for Identification Purposes,Russia,Russia,Russia,61.52401000,105.31875600,edu, a96a7a381872ae40179ded0d79f905da0455d9d1,Segmentation of Saimaa Ringed Seals for Identification Purposes,Monash University Malaysia,Monash University Malaysia,"Monash University Malaysia, Jalan Lagoon Selatan, Kampung Lembah Kinrara, SS13, Subang Jaya, Selangor, 47500, Malaysia",3.06405715,101.60059740,edu, a9877bb6c56e32e3c3552e379fca67e5031ccce5,A HIERARCHICAL DYNAMIC MODEL FOR OBJECT RECOGNITION By RAKESH CHALASANI A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, +a996492cad4ee17945f6b8ba06ae87cf38223242,Memetic Approach for Matching Sketches with Digital Face Images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a9e99d6efadcf5d8f67949c5fd4e1f1c024868de,Human Action Recognition in Still Images using Bag of Latent Poselets,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, a941a3e8299fb7897fbba7467a52d14e13e7a706,Exploring Human-Like Attention Supervision in Visual Question Answering,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, a941a3e8299fb7897fbba7467a52d14e13e7a706,Exploring Human-Like Attention Supervision in Visual Question Answering,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, a941a3e8299fb7897fbba7467a52d14e13e7a706,Exploring Human-Like Attention Supervision in Visual Question Answering,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, -a9f652787e5669168c7b8f632c3a343dfbaa6f4b,Mining Spatial and Spatio-Temporal ROIs for Action Recognition,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +a9ebeca46445b8af728118b05e56d95d4985000c,Restricted Isometry Property of Subspace Projection Matrix Under Random Compression,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +a9f652787e5669168c7b8f632c3a343dfbaa6f4b,Mining Spatial and Spatio-Temporal ROIs for Action Recognition,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, +a969efee78149357ec109c1de2238a0cc670858a,Automatic 2.5-D Facial Landmarking and Emotion Annotation for Social Interaction Assistance,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +a969efee78149357ec109c1de2238a0cc670858a,Automatic 2.5-D Facial Landmarking and Emotion Annotation for Social Interaction Assistance,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a9607714002b5debc0cf7b96a3def0cc6a005198,Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, a9607714002b5debc0cf7b96a3def0cc6a005198,Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a93ddf304502fa9ca151d61f512e5682b5364d9f,Object classification and localization with spatially localized features,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +a955033ca6716bf9957b362b77092592461664b4,Video Based Face Recognition Using Artificial Neural Network,India,India,India,20.59368400,78.96288000,edu, +a955033ca6716bf9957b362b77092592461664b4,Video Based Face Recognition Using Artificial Neural Network,India,India,India,20.59368400,78.96288000,edu, a9be20954e9177d8b2bc39747acdea4f5496f394,Event-Specific Image Importance,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, a910f0468ffaf85aad72c96a7214565945cd2819,Learning Comment Generation by Leveraging User-Generated Data,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, a95c9d51b7fb53cf22cb13a806a780aa1f9d47e1,CNNs for Face Detection and Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, a95c9d51b7fb53cf22cb13a806a780aa1f9d47e1,CNNs for Face Detection and Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, a95c9d51b7fb53cf22cb13a806a780aa1f9d47e1,CNNs for Face Detection and Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +a99cf14afb556187233f772fa9bf561d7cf0c088,A SURVEY ON SCLERA VEIN RECOGNITION TECHNIQUES,India,India,India,20.59368400,78.96288000,edu, +a99cf14afb556187233f772fa9bf561d7cf0c088,A SURVEY ON SCLERA VEIN RECOGNITION TECHNIQUES,India,India,India,20.59368400,78.96288000,edu, a9e0e667537c9059b3050a64d22b8fe86787d913,"Detecting and Tracking Vehicles , Pedestrians , and Bicyclists at Intersections with a Stationary Lidar",Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, a9e0e667537c9059b3050a64d22b8fe86787d913,"Detecting and Tracking Vehicles , Pedestrians , and Bicyclists at Intersections with a Stationary Lidar",Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, a9c0d70ee98e77916f6cc6714e599040cca4d7ae,Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, a9c0d70ee98e77916f6cc6714e599040cca4d7ae,Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, a94cae786d515d3450d48267e12ca954aab791c4,YawDD: a yawning detection dataset,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, +a93ecf7b9780989c709714dde0f93f4d81eea640,Unconstrained Face Recognition Using SVM Across Blurred And Illuminated Images With Pose,India,India,India,20.59368400,78.96288000,edu, +a93ecf7b9780989c709714dde0f93f4d81eea640,Unconstrained Face Recognition Using SVM Across Blurred And Illuminated Images With Pose,India,India,India,20.59368400,78.96288000,edu, a9e19e8ab24071a085d1273b9f9d49aa0e4ba48c,VizWiz Grand Challenge: Answering Visual Questions from Blind People,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, a947448d1db19d99abe6de2f6b6d67804786a8b1,Unsupervised Triplet Hashing for Fast Image Retrieval,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, a98b63516c7d45eadf8cf4045ea114918eb3b636,Selective Refinement Network for High Performance Face Detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -10912,12 +13460,19 @@ a9cad1a4f13f77dad9d989c4f146b2176e4eceaf,3D Point Cloud Learning for Large-scale a91c74e3bdbc560653e25fdb02d337a8d20186f4,Multiple Human Tracking in RGB-D Data: A Survey,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, a95436fd5888b81441daad9d3194bca7a9568efe,Fit for Purpose? Predicting Perception Performance Based on Past Experience,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, a90e6751ae32cb2983891ef2216293311cd6a8e9,Clustering using Ensemble Clustering Technique,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +a90e6751ae32cb2983891ef2216293311cd6a8e9,Clustering using Ensemble Clustering Technique,China,China,China,35.86166000,104.19539700,edu, a96c3b0e4ba2949053a9e1e00751b76ef5b05816,Object Recognition with Hidden Attributes,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, a9721f9680bb21a0849a912ed24eec9ba50def9e,Benchmarking face tracking,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, a9ae68734f2a8116917f75a02dc9c1f432b6c8eb,HUMAN POSE ESTIMATION FROM A SINGLE VIEW POINT by Matheen Siddiqui A Dissertation Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +a96b6e645a8d3eb8efc7358a852cbfbaa32ae245,Small Group Detection in Crowds using Interaction Information,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a96b6e645a8d3eb8efc7358a852cbfbaa32ae245,Small Group Detection in Crowds using Interaction Information,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, df31e9c882dfb3ea5a3abe3b139ceacb1d90a302,DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +df2494da8efa44d70c27abf23f73387318cf1ca8,Supervised Filter Learning for Representation Based Face Recognition,China,China,China,35.86166000,104.19539700,edu, +df2494da8efa44d70c27abf23f73387318cf1ca8,Supervised Filter Learning for Representation Based Face Recognition,China,China,China,35.86166000,104.19539700,edu, +df2494da8efa44d70c27abf23f73387318cf1ca8,Supervised Filter Learning for Representation Based Face Recognition,China,China,China,35.86166000,104.19539700,edu, +df8da144a695269e159fb0120bf5355a558f4b02,Face Recognition using PCA and Eigen Face Approach,India,India,India,20.59368400,78.96288000,edu, dfe31177d3722f23433434808aa2d943d14a5157,Occlusion Invariant Face Recognition Using Selective LNMF Basis Images,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +df80fed59ffdf751a20af317f265848fe6bfb9c9,Learning Deep Sharable and Structural Detectors for Face Alignment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, dfdcd8c7c91813ba1624c9a21d2d01ef06a49afd,Detecting Heads using Feature Refine Net and Cascaded Multi-scale Architecture,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, df8717e1153c48e457ea5ace1aa97c30ee7374bb,RenderNet: A deep convolutional network for differentiable rendering from 3D shapes,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, df8717e1153c48e457ea5ace1aa97c30ee7374bb,RenderNet: A deep convolutional network for differentiable rendering from 3D shapes,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, @@ -10927,17 +13482,20 @@ df71a00071d5a949f9c31371c2e5ee8b478e7dc8,Using opportunistic face logging from s df71a00071d5a949f9c31371c2e5ee8b478e7dc8,Using opportunistic face logging from smartphone to infer mental health: challenges and future directions,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, df350766b53d4db23790a0408b0d2c7a185cff74,Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, df350766b53d4db23790a0408b0d2c7a185cff74,Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +dfd2a3cfb8250ff39de498105d3f31122f314811,Content Based Image Retrieval of Corel Images Along With Face Recognition,India,India,India,20.59368400,78.96288000,edu, +dfd2a3cfb8250ff39de498105d3f31122f314811,Content Based Image Retrieval of Corel Images Along With Face Recognition,India,India,India,20.59368400,78.96288000,edu, df7e3f5cb90230f6bed1473c4984f336b56615c8,A Multi-Stage Approach to Facial Feature Detection,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, df2c685aa9c234783ab51c1aa1bf1cb5d71a3dbb,SREFI: Synthesis of realistic example face images,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, dfe823d9851d222f299ad26283c7de4b4a3941e8,Kernel Fisher Discriminant Analysis in Full Eigenspace,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, df8a4d17bd48cd9c9f1e74396fa95cdf3381012b,Distinct Neurophysiological Mechanisms Support the Online Formation of Individual and Across-Episode Memory Representations.,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, df8a4d17bd48cd9c9f1e74396fa95cdf3381012b,Distinct Neurophysiological Mechanisms Support the Online Formation of Individual and Across-Episode Memory Representations.,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, df9269657505fcdc1e10cf45bbb8e325678a40f5,Open-Domain Audio-Visual Speech Recognition: A Deep Learning Approach,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +df51dfe55912d30fc2f792561e9e0c2b43179089,Face Hallucination Using Linear Models of Coupled Sparse Support,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, df7312cbabb7d75d915ba0d91dea77100ded5c56,Preliminary Studies on a Large Face Database,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, df7312cbabb7d75d915ba0d91dea77100ded5c56,Preliminary Studies on a Large Face Database,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, df45ca54171804193c0b499e8f3d282cc8b06998,LVreID: Person Re-Identification with Long Sequence Videos,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, df45ca54171804193c0b499e8f3d282cc8b06998,LVreID: Person Re-Identification with Long Sequence Videos,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, -df45ca54171804193c0b499e8f3d282cc8b06998,LVreID: Person Re-Identification with Long Sequence Videos,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +df45ca54171804193c0b499e8f3d282cc8b06998,LVreID: Person Re-Identification with Long Sequence Videos,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, df0e280cae018cebd5b16ad701ad101265c369fa,Deep Attributes from Context-Aware Regional Neural Codes,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, df0e280cae018cebd5b16ad701ad101265c369fa,Deep Attributes from Context-Aware Regional Neural Codes,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, df724040bf460858b3e325fab0a4dd3374a647a7,Capsules for Object Segmentation,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, @@ -10945,6 +13503,7 @@ df724040bf460858b3e325fab0a4dd3374a647a7,Capsules for Object Segmentation,Univer df3c2ac15c71b6cdc07f4268ee83d4fc1984545f,Random field topic model for semantic region analysis in crowded scenes from tracklets,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, df3c2ac15c71b6cdc07f4268ee83d4fc1984545f,Random field topic model for semantic region analysis in crowded scenes from tracklets,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, df3c2ac15c71b6cdc07f4268ee83d4fc1984545f,Random field topic model for semantic region analysis in crowded scenes from tracklets,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +dfee9e83ccf015a3835c399beda5d57d49d25d04,Road side video surveillance in traffic scenes using mapreduce framework for accident analysis,India,India,India,20.59368400,78.96288000,edu, dfbf941adeea19f5dff4a70a466ddd1b77f3b727,Models for supervised learning in sequence data,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, df9a016950ffaaa8526e7332f0a6568ad43d054f,A Fast Stereo-based System for Detecting and Tracking Pedestrians from a Moving Vehicle,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, df9491cc46eacf66bb963a699b73ec1a82aec4eb,Learning Attributes from the Crowdsourced Relative Labels,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, @@ -10953,8 +13512,11 @@ dfe5849fc844bd7b747b3ecbe0f28ffb7e6ee917,Semantically Consistent Image Completio df969647a0ee9ea25b23589f44be5240b5097236,How robust is familiar face recognition? A repeat detection study of more than 1000 faces,Victoria University of Wellington,Victoria University of Wellington,"Victoria University of Wellington, Waiteata Road, Aro Valley, Wellington, Wellington City, Wellington, 6040, New Zealand/Aotearoa",-41.29052775,174.76846919,edu, df969647a0ee9ea25b23589f44be5240b5097236,How robust is familiar face recognition? A repeat detection study of more than 1000 faces,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, dfd8602820c0e94b624d02f2e10ce6c798193a25,Structured Analysis Dictionary Learning for Image Classification,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, +dfaa547451aae219cd2ca7a761e6c16c1e1d0add,Representation Learning by Rotating Your Faces,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, df2841a1d2a21a0fc6f14fe53b6124519f3812f9,Learning Image Attributes using the Indian Buffet Process,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, df2841a1d2a21a0fc6f14fe53b6124519f3812f9,Learning Image Attributes using the Indian Buffet Process,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +dfb342327c5e883d21a1f91cd283b36dbc2a3661,Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +dfb342327c5e883d21a1f91cd283b36dbc2a3661,Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, dfd72b994765a1979c6872fc8948657885a31752,Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, dfd72b994765a1979c6872fc8948657885a31752,Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, df58cf3fe7502a91a7d319be11680ee5b1c78e6d,Eye Detection and Gaze Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -10965,20 +13527,32 @@ df8341b479434721d3738cc672cf976c080ab7e2,Learning Deep Networks from Noisy Label dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f,Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, dfd52ff9957c91dfbf3780ffffea2cc8ea6de81f,Rethinking Binary Neural Network for Accurate Image Classification and Semantic Segmentation,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, ca22c95ccea3e5ceaf95956811cb507af1bdd672,Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +ca22c95ccea3e5ceaf95956811cb507af1bdd672,Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder,China,China,China,35.86166000,104.19539700,edu, +ca22c95ccea3e5ceaf95956811cb507af1bdd672,Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder,China,China,China,35.86166000,104.19539700,edu, +ca22c95ccea3e5ceaf95956811cb507af1bdd672,Electroconvulsive therapy selectively enhanced feedforward connectivity from fusiform face area to amygdala in major depressive disorder,China,China,China,35.86166000,104.19539700,edu, cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe,Virtual to Real Reinforcement Learning for Autonomous Driving,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe,Virtual to Real Reinforcement Learning for Autonomous Driving,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe,Virtual to Real Reinforcement Learning for Autonomous Driving,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe,Virtual to Real Reinforcement Learning for Autonomous Driving,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +cabc9a1fef57fb2cad91bdb0a84e18934ee5bdbe,Virtual to Real Reinforcement Learning for Autonomous Driving,China,China,China,35.86166000,104.19539700,edu, +ca8b529e389381c8b51ddf83788b7a3eafb8f859,Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ca54d0a128b96b150baef392bf7e498793a6371f,Improve Pedestrian Attribute Classification by Weighted Interactions from Other Attributes,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, ca8c3c616b757b77eba6d8689d5f1ca57d6b81ca,A model for full local image interpretation,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, ca8c3c616b757b77eba6d8689d5f1ca57d6b81ca,A model for full local image interpretation,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, caa9927fbf2c83d3e3c086d890a263ed6c421d0c,Towards High-Definition 3D Urban Mapping: Road Feature-Based Registration of Mobile Mapping Systems and Aerial Imagery,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, caa9927fbf2c83d3e3c086d890a263ed6c421d0c,Towards High-Definition 3D Urban Mapping: Road Feature-Based Registration of Mobile Mapping Systems and Aerial Imagery,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, -ca6b78e3d12134e12305fa4bcdf050ac102781df,OCNet: Object Context Network for Scene Parsing,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -caf912b716905ccbf46d6d00d6a0b622834a7cd9,Measuring Machine Intelligence Through Visual Question Answering,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +ca1db9dc493a045e3fadf8d8209eaa4311bbdc70,Effective Image Retrieval via Multilinear Multi-index Fusion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +ca6b78e3d12134e12305fa4bcdf050ac102781df,OCNet: Object Context Network for Scene Parsing,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +caf912b716905ccbf46d6d00d6a0b622834a7cd9,Measuring Machine Intelligence Through Visual Question Answering,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, cada850299f0aa71ecd9b37a2496802ad8d48455,Cost-effective conceptual design using taxonomies,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, cada850299f0aa71ecd9b37a2496802ad8d48455,Cost-effective conceptual design using taxonomies,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, caa2ded6d8d5de97c824d29b0c7a18d220c596c8,Learning to Segment Breast Biopsy Whole Slide Images,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, caa2ded6d8d5de97c824d29b0c7a18d220c596c8,Learning to Segment Breast Biopsy Whole Slide Images,University of Vermont,University of Vermont,"University of Vermont, Colchester Avenue, Burlington, Chittenden County, Vermont, 05401, USA",44.48116865,-73.20021790,edu, +ca05fadeb6e0d3414fd21870320545be4582e408,Deep Part-Based Generative Shape Model with Latent Variables,Russia,Russia,Russia,61.52401000,105.31875600,edu, +ca05fadeb6e0d3414fd21870320545be4582e408,Deep Part-Based Generative Shape Model with Latent Variables,Russia,Russia,Russia,61.52401000,105.31875600,edu, +ca50d76d065b22bf40d8144729f89e36e732e046,Robust Face Recognition and Impostors Detection with Partial Occlusion and Small Number of Training Samples ⋆,China,China,China,35.86166000,104.19539700,edu, +cac24ea3b301c4aba0f84470b175198c10d03199,Study of the Changing Trends in Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu, +cac24ea3b301c4aba0f84470b175198c10d03199,Study of the Changing Trends in Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu, cab65f07bb7edd5fa86612715ddd95d48fb1dbbc,Safe At Any Speed : A Simulation-Based Test Harness for Autonomous Vehicles,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, cab65f07bb7edd5fa86612715ddd95d48fb1dbbc,Safe At Any Speed : A Simulation-Based Test Harness for Autonomous Vehicles,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, cab65f07bb7edd5fa86612715ddd95d48fb1dbbc,Safe At Any Speed : A Simulation-Based Test Harness for Autonomous Vehicles,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, @@ -10986,8 +13560,9 @@ cab65f07bb7edd5fa86612715ddd95d48fb1dbbc,Safe At Any Speed : A Simulation-Based cab65f07bb7edd5fa86612715ddd95d48fb1dbbc,Safe At Any Speed : A Simulation-Based Test Harness for Autonomous Vehicles,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, ca8c296c5c74d351d866ac317d9680626b0bc6a7,LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, ca0823ea938736ec3286a5fd3bbc0b3d830b4fb5,Semantic Amodal Segmentation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +ca5e9973a4494c608548f639eb9a391f6235d4f0,Robust RGB-D Face Recognition Using Attribute-Aware Loss,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ca1c710c14f95c3b0cf027fb068d53d595809a5c,Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, -ca1c710c14f95c3b0cf027fb068d53d595809a5c,Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +ca1c710c14f95c3b0cf027fb068d53d595809a5c,Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, ca50b25eaad0c9146fc5a4a2cd4c472c77b970ba,Face Recognition Using Histogram-based Features in Spatial and Frequency Domains,Kogakuin University,Kogakuin University,"工学院大学, 東通り, 新宿区, 東京都, 関東地方, 163-8677, 日本",35.69027840,139.69540096,edu, ca50b25eaad0c9146fc5a4a2cd4c472c77b970ba,Face Recognition Using Histogram-based Features in Spatial and Frequency Domains,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, ca50b25eaad0c9146fc5a4a2cd4c472c77b970ba,Face Recognition Using Histogram-based Features in Spatial and Frequency Domains,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, @@ -10999,7 +13574,10 @@ ca42b7f881437976a6c60de0229ebbf31b58c3bd,Learn the Distribution ? S Ome T Heory ca42b7f881437976a6c60de0229ebbf31b58c3bd,Learn the Distribution ? S Ome T Heory and E Mpirics,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, ca56ac26cd7e1fdc35033228b4936bf70a090825,Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, ca11dc3a8064583aaf79061866bbcf04caece162,Disentangled Representations in Neural Models,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +cadb9a014a4c5bbec57aaf30391f472fa4b69b4d,PCA versus LDA,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, caab1c1d53718315f54bc4df42eb9a727fa18483,"Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +cab372bc3824780cce20d9dd1c22d4df39ed081a,"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +ca7f7f77a190b98b2e7173f64727de5a287059e2,Orthogonality of Diffractive Deep Neural Networks,China,China,China,35.86166000,104.19539700,edu, ca7f7f77a190b98b2e7173f64727de5a287059e2,Orthogonality of Diffractive Deep Neural Networks,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, ca2e14671f5043dab985dd18e10c5e3f51e2e8be,Face Recognition by Using Elongated Local Binary Patterns with Average Maximum Distance Gradient Magnitude,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, @@ -11011,8 +13589,11 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 21bdcd9be2e9e75ec1d060d8d748a372d9ced230,Neural mechanisms in Williams syndrome: a unique window to genetic influences on cognition and behaviour,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu, 217de4ff802d4904d3f90d2e24a29371307942fe,"POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation",Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 217de4ff802d4904d3f90d2e24a29371307942fe,"POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation",Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +21e82350472bf6a12af0f761b8dea91cb16bf42f,Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification,China,China,China,35.86166000,104.19539700,edu, 21258aa3c48437a2831191b71cd069c05fb84cf7,A Robust and Efficient Doubly Regularized Metric Learning Approach,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, +218603147709344d4ff66625d83603deee2854bf,Learning Deep Embeddings with Histogram Loss,Russia,Russia,Russia,61.52401000,105.31875600,edu, 210fd81446006bf542b595fa0743b808cb86acbf,Combining Orientational Pooling Features for Scene Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +210fd81446006bf542b595fa0743b808cb86acbf,Combining Orientational Pooling Features for Scene Recognition,China,China,China,35.86166000,104.19539700,edu, 210fd81446006bf542b595fa0743b808cb86acbf,Combining Orientational Pooling Features for Scene Recognition,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 212211d642aa75f66f8ad3ec04da3a4cc089a5b3,Learning to Localize Little Landmarks,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 21f5652d4f88ac039c58aa530328e65a39eb7b38,Neural Processing of Facial Identity and Emotion in Infants at High-Risk for Autism Spectrum Disorders,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -11020,15 +13601,22 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 21f5652d4f88ac039c58aa530328e65a39eb7b38,Neural Processing of Facial Identity and Emotion in Infants at High-Risk for Autism Spectrum Disorders,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 21f5652d4f88ac039c58aa530328e65a39eb7b38,Neural Processing of Facial Identity and Emotion in Infants at High-Risk for Autism Spectrum Disorders,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 21dd874d7103d5c9c95b8ad52f0cbf1928b926e8,Novel Video Prediction for Large-scale Scene using Optical Flow,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, +21dd874d7103d5c9c95b8ad52f0cbf1928b926e8,Novel Video Prediction for Large-scale Scene using Optical Flow,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, +21dd874d7103d5c9c95b8ad52f0cbf1928b926e8,Novel Video Prediction for Large-scale Scene using Optical Flow,China,China,China,35.86166000,104.19539700,edu, 21c99706bb26e9012bfb4d8d48009a3d45af59b2,Neural Module Networks,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, +2103bb6772bf01e43a8a4e8e34f16baac7d7c331,Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 2103bb6772bf01e43a8a4e8e34f16baac7d7c331,Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +2103bb6772bf01e43a8a4e8e34f16baac7d7c331,Information theoretic sensor management for multi-target tracking with a single pan-tilt-zoom camera,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 2135a3d9f4b8f5771fa5fc7c7794abf8c2840c44,Lessons from collecting a million biometric samples,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 2135a3d9f4b8f5771fa5fc7c7794abf8c2840c44,Lessons from collecting a million biometric samples,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, 218982f0878a3de667fac2bb18b9f50949aefc1c,Multi-pose multi-target tracking for activity understanding,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 218982f0878a3de667fac2bb18b9f50949aefc1c,Multi-pose multi-target tracking for activity understanding,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +219b7b157f2a559ecdffe21c2a0edf5285931298,Deep hashing for compact binary codes learning,China,China,China,35.86166000,104.19539700,edu, 21bebef8ced5d1e77667c667b54287782556eebc,Image processing and recognition for biological images,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 216c6d29a6f57c37ef8f26f88b6ec9be5b855a66,From VQA to Multimodal CQA: Adapting Visual QA Models for Community QA Tasks,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 216c6d29a6f57c37ef8f26f88b6ec9be5b855a66,From VQA to Multimodal CQA: Adapting Visual QA Models for Community QA Tasks,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, +21f59ece2dfe0181a3c4763318fcae254e80b7db,Human Object Tracking in Video Sequences,India,India,India,20.59368400,78.96288000,edu, +21f59ece2dfe0181a3c4763318fcae254e80b7db,Human Object Tracking in Video Sequences,India,India,India,20.59368400,78.96288000,edu, 21358489b5ce0e94ff37792a8a5eea198e7272f3,Face Inpainting with Local Linear Representations,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 212ffbe247d3cc3cb32a12c43a74a1146e3fe18c,3D Human Pose Estimation = 2D Pose Estimation + Matching,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 212ffbe247d3cc3cb32a12c43a74a1146e3fe18c,3D Human Pose Estimation = 2D Pose Estimation + Matching,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -11036,12 +13624,17 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 21a6ad72b4dddb6720e7278fcf384f9fd131bdb0,An Automatic Portrait System Based on And-Or Graph Representation,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 21fa37258834c2e3f075a8465d8de1c178cdaaf5,Shape-based pedestrian parsing,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, 21819624b83b40586afce41c3c9ae7abf6c9a2ab,A vision-grounded dataset for predicting typical locations for verbs,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +21819624b83b40586afce41c3c9ae7abf6c9a2ab,A vision-grounded dataset for predicting typical locations for verbs,University of California at Berkeley,"International Computer Science Institute, University of California at Berkeley, Berkeley, USA","1947 Center St, Berkeley, CA 94704, USA",37.87015430,-122.27123120,edu, +214ac8196d8061981bef271b37a279526aab5024,Face Recognition Using Smoothed High-Dimensional Representation,Finland,Finland,Finland,61.92411000,25.74815110,edu, 214c966d1f9c2a4b66f4535d9a0d4078e63a5867,Brainwash: A Data System for Feature Engineering,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 21f990f3bb8c7dfe57f31d912fb555819f1a64bd,Randomness and sparsity induced codebook learning with application to cancer image classification,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 21f990f3bb8c7dfe57f31d912fb555819f1a64bd,Randomness and sparsity induced codebook learning with application to cancer image classification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 21a2f67b21905ff6e0afa762937427e92dc5aa0b,Extra Facial Landmark Localization via Global Shape Reconstruction,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, +21a2f67b21905ff6e0afa762937427e92dc5aa0b,Extra Facial Landmark Localization via Global Shape Reconstruction,China,China,China,35.86166000,104.19539700,edu, 217a21d60bb777d15cd9328970cab563d70b5d23,Hidden Factor Analysis for Age Invariant Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +217a21d60bb777d15cd9328970cab563d70b5d23,Hidden Factor Analysis for Age Invariant Face Recognition,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 217a21d60bb777d15cd9328970cab563d70b5d23,Hidden Factor Analysis for Age Invariant Face Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +217a21d60bb777d15cd9328970cab563d70b5d23,Hidden Factor Analysis for Age Invariant Face Recognition,China,China,China,35.86166000,104.19539700,edu, 215f43a46ad30cf0574a2a10cd81fe7741768746,"Engineering ISSN : 2277-128 X ( Volume-8 , Issue-6 ) Performance Analysis of Virtual Human Bodies with Clothing and Hair from Images to Animation",Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 215f43a46ad30cf0574a2a10cd81fe7741768746,"Engineering ISSN : 2277-128 X ( Volume-8 , Issue-6 ) Performance Analysis of Virtual Human Bodies with Clothing and Hair from Images to Animation",Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 215f43a46ad30cf0574a2a10cd81fe7741768746,"Engineering ISSN : 2277-128 X ( Volume-8 , Issue-6 ) Performance Analysis of Virtual Human Bodies with Clothing and Hair from Images to Animation",Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, @@ -11079,11 +13672,13 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 72c69a7a791ff86f84f082b73e09733bb90edfd7,Face photo retrieval by sketch example,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 72c69a7a791ff86f84f082b73e09733bb90edfd7,Face photo retrieval by sketch example,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 725c3605c2d26d113637097358cd4c08c19ff9e1,Deep Reasoning with Knowledge Graph for Social Relationship Understanding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +725c3605c2d26d113637097358cd4c08c19ff9e1,Deep Reasoning with Knowledge Graph for Social Relationship Understanding,China,China,China,35.86166000,104.19539700,edu, 72160aae43cd9b2c3aae5574acc0d00ea0993b9e,Boosting Facial Expression Recognition in a Noisy Environment Using LDSP-Local Distinctive Star Pattern,Stamford University Bangladesh,Stamford University Bangladesh,"Stamford University Bangladesh, Siddeshwari Road, ফকিরাপুল, Paltan, ঢাকা, ঢাকা বিভাগ, 1217, বাংলাদেশ",23.74481660,90.40843514,edu, 72160aae43cd9b2c3aae5574acc0d00ea0993b9e,Boosting Facial Expression Recognition in a Noisy Environment Using LDSP-Local Distinctive Star Pattern,Stamford University Bangladesh,Stamford University Bangladesh,"Stamford University Bangladesh, Siddeshwari Road, ফকিরাপুল, Paltan, ঢাকা, ঢাকা বিভাগ, 1217, বাংলাদেশ",23.74481660,90.40843514,edu, 72160aae43cd9b2c3aae5574acc0d00ea0993b9e,Boosting Facial Expression Recognition in a Noisy Environment Using LDSP-Local Distinctive Star Pattern,Stamford University Bangladesh,Stamford University Bangladesh,"Stamford University Bangladesh, Siddeshwari Road, ফকিরাপুল, Paltan, ঢাকা, ঢাকা বিভাগ, 1217, বাংলাদেশ",23.74481660,90.40843514,edu, 729fb8d4c8afa86bedc6899bf835e32313a40176,Unveiling contrast in darkness,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, 72a4390a6c3b2bc2c3e7d83fc1f99e65e6137573,Collective Activity Localization with Contextual Spatial Pyramid,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +72a55554b816b66a865a1ec1b4a5b17b5d3ba784,Real-Time Face Identification via CNN and Boosted Hashing Forest,Russia,Russia,Russia,61.52401000,105.31875600,edu, 7240aad3fa4adf65e401345c877ee58a01b76fb1,A new theoretical approach to improving face recognition in disorders of central vision: face caricaturing.,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 7240aad3fa4adf65e401345c877ee58a01b76fb1,A new theoretical approach to improving face recognition in disorders of central vision: face caricaturing.,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 7240aad3fa4adf65e401345c877ee58a01b76fb1,A new theoretical approach to improving face recognition in disorders of central vision: face caricaturing.,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, @@ -11095,6 +13690,7 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 72e8010136460340683a52c2aee4edaee0b48559,Repulsion Loss: Detecting Pedestrians in a Crowd,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, 72e8010136460340683a52c2aee4edaee0b48559,Repulsion Loss: Detecting Pedestrians in a Crowd,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 72e8010136460340683a52c2aee4edaee0b48559,Repulsion Loss: Detecting Pedestrians in a Crowd,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +726f76f11e904d7fcb12736c276a0b00eb5cde49,A Performance Comparison of Loss Functions for Deep Face Recognition,India,India,India,20.59368400,78.96288000,edu, 7249e94317ff7cb5dc39441f3473a2d4f1c1d30b,Action Attribute Detection from Sports Videos with Contextual Constraints,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 7265e367f2ac9aebe2ad8ec404da1168edf8519b,AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection.,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 72a672cd20a3b7b2a123772ac0f9a27cfe96effe,Image-based Ear Biometric Smartphone App for Patient Identification in Field Settings,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, @@ -11106,10 +13702,10 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 72a5e181ee8f71b0b153369963ff9bfec1c6b5b0,Expression recognition in videos using a weighted component-based feature descriptor,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, 7240623efb81b04eff0d6133b159d00f7d2bfa2f,Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 72b4b8f4a9f25cac5686231b44a2220945fd2ff6,Face Verification Using Modeled Eigenspectrum,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, -7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, -7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, +7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +7237b27dac6dfe5c07a2c6c36ad848e6bcc7ac77,Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 72edfb91e4b3d42547591be9e8c6eb07e7190499,Do Children See in Black and White? Children's and Adults' Categorizations of Multiracial Individuals.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 7224d58a7e1f02b84994b60dc3b84d9fe6941ff5,When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 7224d58a7e1f02b84994b60dc3b84d9fe6941ff5,When Face Recognition Meets with Deep Learning: An Evaluation of Convolutional Neural Networks for Face Recognition,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, @@ -11121,10 +13717,14 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 72ff1a1dd7c24b51d40d2be7f337b9075bbb8d58,Where and Who? Automatic Semantic-Aware Person Composition,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, 720e06688e1038026070253891037652f5d0d9f5,Chess Q & A : Question Answering on Chess Games,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7291d63fd9300ee40883201c9d2c4698787d0eaf,Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, +7291d63fd9300ee40883201c9d2c4698787d0eaf,Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation,China,China,China,35.86166000,104.19539700,edu, 7291d63fd9300ee40883201c9d2c4698787d0eaf,Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +72fb849144aea8e01f141419914cde87bb7972f3,Fuzzy Bidirectional Weighted Sum for Face Recognition,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +72fb849144aea8e01f141419914cde87bb7972f3,Fuzzy Bidirectional Weighted Sum for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 72903a6b9894f13facf46a81bd7b659740b488e5,Worldwide AI,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 72dd9ecc3a1f32d53b4aeb03ea3db14236fbcb27,Let the Shape Speak - Discriminative Face Alignment using Conjugate Priors,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu, 72dd9ecc3a1f32d53b4aeb03ea3db14236fbcb27,Let the Shape Speak - Discriminative Face Alignment using Conjugate Priors,University of Coimbra,University of Coimbra,"Reitoria da Universidade de Coimbra, Rua de Entre-Colégios, Almedina, Alta, Almedina, Sé Nova, Santa Cruz, Almedina e São Bartolomeu, CBR, Coimbra, Baixo Mondego, Centro, 3000-062, Portugal",40.20759510,-8.42566148,edu, +725b4d2ae7de22856200d1e4511e1d697d42b37b,The ParallelEye Dataset: Constructing Large-Scale Artificial Scenes for Traffic Vision Research,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 72e14386d0ef1aa09c52e07086fc310c440db16f,Gait Analysis of Gender and Age Using a Large-Scale Multi-view Gait Database,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 72e9acdd64e71fc2084acaf177aafaa2e075bd8c,The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 7241f97a425d5249cbba39ff9a8fdae160e9e1e6,Subspace Constrained Mean-shift,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -11156,13 +13756,18 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 03b99f5abe0e977ff4c902412c5cb832977cf18e,Of Gods and Goats: Weakly Supervised Learning of Figurative Art,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 03264e2e2709d06059dd79582a5cc791cbef94b1,Convolutional Neural Networks for Facial Attribute-based Active Authentication On Mobile Devices,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 03264e2e2709d06059dd79582a5cc791cbef94b1,Convolutional Neural Networks for Facial Attribute-based Active Authentication On Mobile Devices,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +0389a3b0fcdb4c244628e603ffaff620f6575bfc,Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering,India,India,India,20.59368400,78.96288000,edu, 0389a3b0fcdb4c244628e603ffaff620f6575bfc,Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, +0389a3b0fcdb4c244628e603ffaff620f6575bfc,Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering,India,India,India,20.59368400,78.96288000,edu, 0389a3b0fcdb4c244628e603ffaff620f6575bfc,Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 0324a22f71927bee2a448f800287cde562dc2726,People detection in crowded scenes by context-driven label propagation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 03d364f8545dbcf0d7240c5bb8dc39636c698ddb,Fusion of Head and Full-Body Detectors for Multi-Object Tracking,Technical University Munich,Technical University Munich,"TUM, 21, Arcisstraße, Bezirksteil Königsplatz, Stadtbezirk 03 Maxvorstadt, München, Obb, Bayern, 80333, Deutschland",48.14955455,11.56775314,edu, 03184ac97ebf0724c45a29ab49f2a8ce59ac2de3,Evaluation of output embeddings for fine-grained image classification,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 03184ac97ebf0724c45a29ab49f2a8ce59ac2de3,Evaluation of output embeddings for fine-grained image classification,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 035886f58b550be140b1d4dbba0ea0479030589f,Trajectory bundle estimation For perception-driven planning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +0394acc70f58fbb6326d1fbf44e0a6da5a0345d1,Automated Recognition of Text in Images : A Survey,India,India,India,20.59368400,78.96288000,edu, +031532cc5c4e64e02e796360a16f89580a0ba552,Nonnegative Decompositions for Dynamic Visual Data Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +031532cc5c4e64e02e796360a16f89580a0ba552,Nonnegative Decompositions for Dynamic Visual Data Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0353903b504d6246edcdc6b2c7d32e59b5c0a863,Dynamic Processing Allocation in Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 032ede597491cfbdf7424d221bd74742b6707397,Spectral Latent Variable Models for Perceptual Inference,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 032ede597491cfbdf7424d221bd74742b6707397,Spectral Latent Variable Models for Perceptual Inference,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, @@ -11175,9 +13780,15 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 03b03f5a301b2ff88ab3bb4969f54fd9a35c7271,Multi-kernel learning of deep convolutional features for action recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 0359f7357ea8191206b9da45298902de9f054c92,Going deeper in facial expression recognition using deep neural networks,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu, 03dba79518434ba4a937b2980fbdc8bafc048b36,The Role of Principal Angles in Subspace Classification,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +03ed6f09a29fe5d0dbf6d59798f88a5311c966d3,Re-identification with RGB-D Sensors,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 03ca829e8680ab4cdabd491b3b42639c58f4cdce,A graph-based algorithm for multi-target tracking with occlusion,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, +030c8b086dc2705c87dc1b8b1633fb6e0a138eed,Bilinear Active Appearance Models,University of Malaga,University of Malaga,"Av. de Cervantes, 2, 29016 Málaga, Spain",36.71995060,-4.41609270,edu, 030c8b086dc2705c87dc1b8b1633fb6e0a138eed,Bilinear Active Appearance Models,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, +03f7041515d8a6dcb9170763d4f6debd50202c2b,Clustering Millions of Faces by Identity,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 038554418107375d4c2f5f6f8afbc04b1f9a6afe,Fast and Robust RGB-D Scene Labeling for Autonomous Driving,Reutlingen University,Reutlingen University,"Campus Hohbuch, Campus Hochschule Reutlingen, Reutlingen, Landkreis Reutlingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72762, Deutschland",48.48187645,9.18682404,edu, +0342029ad13c337ef09b1413229a8945c0aebdd9,Collarette Region Recognition based on Wavelets and Direct Linear Discriminant Analysis,India,India,India,20.59368400,78.96288000,edu, +0342029ad13c337ef09b1413229a8945c0aebdd9,Collarette Region Recognition based on Wavelets and Direct Linear Discriminant Analysis,India,India,India,20.59368400,78.96288000,edu, +0342029ad13c337ef09b1413229a8945c0aebdd9,Collarette Region Recognition based on Wavelets and Direct Linear Discriminant Analysis,India,India,India,20.59368400,78.96288000,edu, 03baf00a3d00887dd7c828c333d4a29f3aacd5f5,Entropy Based Feature Selection for 3 D Facial Expression Recognition,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, 03f98bfb129028b80ce98686c573830671ee1e3d,Examining Cooperation in Visual Dialog Models,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 03f98bfb129028b80ce98686c573830671ee1e3d,Examining Cooperation in Visual Dialog Models,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, @@ -11189,6 +13800,8 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 030ef31b51bd4c8d0d8f4a9a32b80b9192fe4c3f,Inhibition-Induced Forgetting Results from Resource Competition between Response Inhibition and Memory Encoding Processes.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 030ef31b51bd4c8d0d8f4a9a32b80b9192fe4c3f,Inhibition-Induced Forgetting Results from Resource Competition between Response Inhibition and Memory Encoding Processes.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 03ea1c3f867703f840c0e65df86e09055ad6f774,Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +031d22b08d9e8235f46679b89e273ab8723d3e67,Zero-Aliasing Correlation Filters for Object Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +031d22b08d9e8235f46679b89e273ab8723d3e67,Zero-Aliasing Correlation Filters for Object Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 03eb382e04cca8cca743f7799070869954f1402a,CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 0369baf2366fca2f2afdf86efec4874dc8fad194,A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 0369baf2366fca2f2afdf86efec4874dc8fad194,A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -11198,12 +13811,14 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 03563dfaf4d2cfa397d3c12d742e9669f4e95bab,Deep learning from temporal coherence in video,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 0367d76a6651613b5663d60900061cd090c1b78f,Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 0367d76a6651613b5663d60900061cd090c1b78f,Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +0367d76a6651613b5663d60900061cd090c1b78f,Depth Map Completion by Jointly Exploiting Blurry Color Images and Sparse Depth Maps,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu, 032ab4966465facd284531865529b124ef173a0e,Web image prediction using multivariate point processes,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 032ab4966465facd284531865529b124ef173a0e,Web image prediction using multivariate point processes,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 032ab4966465facd284531865529b124ef173a0e,Web image prediction using multivariate point processes,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 031d4a3940011f6be69a7e24f1a04980482ee477,FastMask: Segment Multi-scale Object Candidates in One Shot,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 03d10c88aebd7aabe603d455c7bafa9231c7cf51,Hyperconnectivity of the Right Posterior Temporo-parietal Junction Predicts Social Difficulties in Boys with Autism Spectrum Disorder.,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 03d10c88aebd7aabe603d455c7bafa9231c7cf51,Hyperconnectivity of the Right Posterior Temporo-parietal Junction Predicts Social Difficulties in Boys with Autism Spectrum Disorder.,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, +03c53fb96a9acd2ec6ba52a2497410f980793bfa,Trainable Convolution Filters and Their Application to Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 03ce07616628ac7c7dac92ea714313b674217811,Deep Learning of Scene-Specific Classifier for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 03ce07616628ac7c7dac92ea714313b674217811,Deep Learning of Scene-Specific Classifier for Pedestrian Detection,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 03167776e17bde31b50f294403f97ee068515578,Chapter 11 . Facial Expression Analysis,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, @@ -11213,6 +13828,8 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 032bde9da87439c781a6c81ba7933985ed95d88e,What's the point: Semantic segmentation with point supervision,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 032bde9da87439c781a6c81ba7933985ed95d88e,What's the point: Semantic segmentation with point supervision,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 032bde9da87439c781a6c81ba7933985ed95d88e,What's the point: Semantic segmentation with point supervision,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +034516f37171e7e6cffb8afa84c1f5d6d12d887f,Comparative Analysis of Content Based Image Retrieval using Texture Features for Plant Leaf Diseases,India,India,India,20.59368400,78.96288000,edu, +0394e684bd0a94fc2ff09d2baef8059c2652ffb0,Median Robust Extended Local Binary Pattern for Texture Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 03c6a002268c066fd6947452533e6b316f8576a6,Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 0371b7cba37970f22040a10bd29219778dcc3947,Taming Social Tags : Computational Linguistic Analysis of Tags for Images in Museums,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 03bd58a96f635059d4bf1a3c0755213a51478f12,Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squares Minimization,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, @@ -11224,18 +13841,23 @@ ca4e0a2cd761f52e6c0bc06ef8ac79e3c7649083,Loss Rank Mining: A General Hard Exampl 0334a8862634988cc684dacd4279c5c0d03704da,FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 033c3114f4951d338e34af67e1699ef779ab258d,Prioritization of arbitrary faces associated to self: An EEG study,Monash University,Monash University,"Monash University, Mile Lane, Parkville, City of Melbourne, Victoria, 3000, Australia",-37.78397455,144.95867433,edu, 0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, -0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu, +0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,China,China,China,35.86166000,104.19539700,edu, +0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,China,China,China,35.86166000,104.19539700,edu, 0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, +0344f29da9641edc36bc4952e1f7a4bfd8dd9bb3,Facial expression at retrieval affects recognition of facial identity,China,China,China,35.86166000,104.19539700,edu, 036c41d67b49e5b0a578a401eb31e5f46b3624e0,The Tower Game Dataset: A multimodal dataset for analyzing social interaction predicates,SRI International,SRI International,"SRI International Building, West 1st Street, Menlo Park, San Mateo County, California, 94025, USA",37.45857960,-122.17560525,edu, 036c41d67b49e5b0a578a401eb31e5f46b3624e0,The Tower Game Dataset: A multimodal dataset for analyzing social interaction predicates,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 0385b65a4941899340ef59f605fb3e943d62330c,Representing 3D texture on mesh manifolds for retrieval and recognition applications,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +0385b65a4941899340ef59f605fb3e943d62330c,Representing 3D texture on mesh manifolds for retrieval and recognition applications,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 03ce2ff688f9b588b6f264ca79c6857f0d80ceae,Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 0319332ded894bf1afe43f174f5aa405b49305f0,Shearlet Network-based Sparse Coding Augmented by Facial Texture Features for Face Recognition,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" 0319332ded894bf1afe43f174f5aa405b49305f0,Shearlet Network-based Sparse Coding Augmented by Facial Texture Features for Face Recognition,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 03a721080a69be37db3a2d56c006c60f472b419d,Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, cb3010ae04bb144b49eb0c1061b695998d3a7441,Scene Parsing with Global Context Embedding,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, cbb141925e919aef18f9168b79b4c4aeb871ccff,A Study Of Statistical Methods For Facial Shape-from-shading,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +cb310356d1c5f567b2a8796b708f6e1e10fa1917,Serotonin and the neural processing of facial emotions in adults with autism: an fMRI study using acute tryptophan depletion.,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +cb57352dde938353093721032f02299aafbae1fb,Efficient privacy preserving Viola-Jones type object detection via random base image representation,China,China,China,35.86166000,104.19539700,edu, cb57352dde938353093721032f02299aafbae1fb,Efficient privacy preserving Viola-Jones type object detection via random base image representation,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, cb57352dde938353093721032f02299aafbae1fb,Efficient privacy preserving Viola-Jones type object detection via random base image representation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, cbbd13c29d042743f0139f1e044b6bca731886d0,Not-So-CLEVR: learning same-different relations strains feedforward neural networks.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, @@ -11246,13 +13868,16 @@ cb522158aa3c91fda3089d152b0005605056852b,3D Face Recognition Using Anthropometri cba3061a883cdfb45c6d26fdee7dd53e6614d388,Per-patch descriptor selection using surface and scene properties,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, cb3f5defe2120076ebbcc89b9256bbfcb8b4d8a1,Feature Generating Networks for Zero-Shot Learning,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, cb3f5defe2120076ebbcc89b9256bbfcb8b4d8a1,Feature Generating Networks for Zero-Shot Learning,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +cb004e9706f12d1de83b88c209ac948b137caae0,Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, cb9057a47f6d3367a6756507ceb1b1f9b596eb7a,Fearful faces have a sensory advantage in the competition for awareness.,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, cb9057a47f6d3367a6756507ceb1b1f9b596eb7a,Fearful faces have a sensory advantage in the competition for awareness.,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, cb9057a47f6d3367a6756507ceb1b1f9b596eb7a,Fearful faces have a sensory advantage in the competition for awareness.,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, cb43519894258b125624dc0df655ab5357b1e42f,Face Aging with Contextual Generative Adversarial Nets,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +cb43519894258b125624dc0df655ab5357b1e42f,Face Aging with Contextual Generative Adversarial Nets,China,China,China,35.86166000,104.19539700,edu, cb43519894258b125624dc0df655ab5357b1e42f,Face Aging with Contextual Generative Adversarial Nets,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, cb2917413c9b36c3bb9739bce6c03a1a6eb619b3,MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, cb2bbc19ba323ac8a7d0530fb605462c8e608e1d,Concept Mask: Large-Scale Segmentation from Semantic Concepts,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, +cb2e10d1a6792354bc0ce24ee99ecf2142d16f9b,Enhancing Real-Time Human Detection Based on Histograms of Oriented Gradients,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, cba130014e6cc590a09aaeca0590623b496f126b,HeteroVisor: Exploiting Resource Heterogeneity to Enhance the Elasticity of Cloud Platforms,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, cbb55f5885f9a0d0bfaa2c0bf5293ef45a04c5cd,Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, cbb55f5885f9a0d0bfaa2c0bf5293ef45a04c5cd,Performance Characterisation of Face Recognition Algorithms and Their Sensitivity to Severe Illumination Changes,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -11268,13 +13893,19 @@ cbf69bc3e4c9b7d8cd33be81686d45f6a5f2d544,Mouth Region Localization based on Gabo cbf69bc3e4c9b7d8cd33be81686d45f6a5f2d544,Mouth Region Localization based on Gabor Features and Active Appearance Models,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, cbf69bc3e4c9b7d8cd33be81686d45f6a5f2d544,Mouth Region Localization based on Gabor Features and Active Appearance Models,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, cbc3ebf2809edcaa04e252d25f4373c924f4136b,CNN+CNN: Convolutional Decoders for Image Captioning,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +cb3ba84146d1324e1cdbde3764ca3b354ee09a2a,"On the Interplay Between Throughput, Fairness and Energy Efficiency on Asymmetric Multicore Processors",6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +cb3ba84146d1324e1cdbde3764ca3b354ee09a2a,"On the Interplay Between Throughput, Fairness and Energy Efficiency on Asymmetric Multicore Processors",9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, cb985b696085fdfdc664c74114b841d58382397c,Recurrent Scene Parsing with Perspective Understanding in the Loop,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, +cb08f679f2cb29c7aa972d66fe9e9996c8dfae00,Action Understanding with Multiple Classes of Actors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, cbe1a5b67c1d19aa1fca10473c6e88b4a444f77b,MCGraph: multi-criterion representation for scene understanding,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, cb1e34d7fcb7fae914fcb65cb9cf25199d49cec9,SLAQ: quality-driven scheduling for distributed machine learning,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, cb5ea214f4a3ddd50e821efea003340a8036408c,Jointly Feature Learning and Selection for Robust Tracking via a Gating Mechanism,Huaqiao University,Huaqiao University,"华侨大学站 HuaQiao University (BRT), 集美大道, 集美区, 集美区 (Jimei), 厦门市 / Xiamen, 福建省, 361024, 中国",24.60047120,118.08165740,edu, cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,India,India,India,20.59368400,78.96288000,edu, cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,India,India,India,20.59368400,78.96288000,edu, cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +cbb27980eb04f68d9f10067d3d3c114efa9d0054,An Attention Model for Group-Level Emotion Recognition,India,India,India,20.59368400,78.96288000,edu, cb1b5e8b35609e470ce519303915236b907b13b6,On the vulnerability of ECG verification to online presentation attacks,University of Connecticut,University of Connecticut,"University of Connecticut, Glenbrook Road, Storrs, Tolland County, Connecticut, 06269, USA",41.80937790,-72.25364140,edu, cb1b5e8b35609e470ce519303915236b907b13b6,On the vulnerability of ECG verification to online presentation attacks,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, cb0c9a9882d8c3ef86cc8747b6ff8d68579dec61,Computer-Aided Detection of Acinar Shadows in Chest Radiographs,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, @@ -11282,11 +13913,14 @@ cb0c9a9882d8c3ef86cc8747b6ff8d68579dec61,Computer-Aided Detection of Acinar Shad cb0c9a9882d8c3ef86cc8747b6ff8d68579dec61,Computer-Aided Detection of Acinar Shadows in Chest Radiographs,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, cba45a87fc6cf12b3b0b6f57ba1a5282ef7fee7a,"Emotion AI , Real-Time Emotion Detection using CNN",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, cba45a87fc6cf12b3b0b6f57ba1a5282ef7fee7a,"Emotion AI , Real-Time Emotion Detection using CNN",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +cb53c8a85d58ccb2635be5b7ff978ea6e8b78cde,Face Recognition Based on Wavelet Transform and Regional Directional Weighted Local Binary Pattern,China,China,China,35.86166000,104.19539700,edu, +cbd20c2199062724eee841016f1575cb7d5309b4,Dropout training for SVMs with data augmentation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, cb05bb5397e077aff7bac3ee26eaabed2779e914,Deep Learning based Vehicle Detection in Aerial Imagery,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, cba8b9949e71ff485a4ecba33128e2f206651cac,An RGBD segmentation model for robot vision learned from synthetic data,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, cb5dcd048b0eaa78a887a014be26a8a7b1325d36,Joint Learning of Set Cardinality and State Distribution,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, a8dbc8284e3abe08ffdc08019b7d04a056a101f7,Asymmetry Patterns Shape Contexts to Describe the 3D Geometry of Craniofacial Landmarks,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, a80355dcee5156b064e31b39c6b72037044ed87c,L-Tree: A Local-Area-Learning-Based Tree Induction Algorithm for Image Classification,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, +a8583e80a455507a0f146143abeb35e769d25e4e,A DISTANCE-ACCURACY HYBRID WEIGHTED VOTING SCHEME FOR PARTIAL FACE RECOGNITION,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, a8583e80a455507a0f146143abeb35e769d25e4e,A DISTANCE-ACCURACY HYBRID WEIGHTED VOTING SCHEME FOR PARTIAL FACE RECOGNITION,Feng Chia University,Feng Chia University,"逢甲大學, 100, 文華路, 西平里, 西屯區, 臺中市, 40724, 臺灣",24.18005755,120.64836072,edu, a8583e80a455507a0f146143abeb35e769d25e4e,A DISTANCE-ACCURACY HYBRID WEIGHTED VOTING SCHEME FOR PARTIAL FACE RECOGNITION,National Chiao Tung University,National Chiao Tung University,"NCTU;交大;交通大學;交大光復校區;交通大學光復校區, 1001, 大學路, 光明里, 赤土崎, 東區, 新竹市, 30010, 臺灣",24.78676765,120.99724412,edu, a8fa12c662447903fbb751eaa967f861ea33abff,"Finding People Using Scale, Rotation and Articulation Invariant Matching",Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu, @@ -11308,8 +13942,8 @@ a8e2c7738913529b315a4f40375fff957f4c6cac,Nonparametric Facial Feature Localizati a8e2c7738913529b315a4f40375fff957f4c6cac,Nonparametric Facial Feature Localization Using Segment-Based Eigenfeatures,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, -a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, a88f86093e6f2d14761d4b8cbdcadfeff496c948,Adversarial Ranking for Language Generation,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, a896ddeb0d253739c9aaef7fc1f170a2ba8407d3,SSH: Single Stage Headless Face Detector,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, a84eb23638faaabf7f156c080894802385957f25,Coarse-to-fine Depth Estimation from a Single Image via Coupled Regression and Dictionary Learning,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, @@ -11318,10 +13952,12 @@ a8ef9a39e68bbc7f6f25a8155cab52aab6708886,Generative Compression,MIT,Massachusett a84f80ca4e29b49cab1035ed8c7877caf2dbe914,Effects of Facial Symmetry and Gaze Direction on Perception of Social Attributes: A Study in Experimental Art History,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu, a84f80ca4e29b49cab1035ed8c7877caf2dbe914,Effects of Facial Symmetry and Gaze Direction on Perception of Social Attributes: A Study in Experimental Art History,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, a84c039818d2abeba21f792c0522e9f75582518e,Prototypical Priors: From Improving Classification to Zero-Shot Learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +a84c039818d2abeba21f792c0522e9f75582518e,Prototypical Priors: From Improving Classification to Zero-Shot Learning,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, a8d665fa7357f696dcfd188b91fda88da47b964e,Scaling Video Analytics Systems to Large Camera Deployments,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, -a8d665fa7357f696dcfd188b91fda88da47b964e,Scaling Video Analytics Systems to Large Camera Deployments,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -a8d665fa7357f696dcfd188b91fda88da47b964e,Scaling Video Analytics Systems to Large Camera Deployments,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +a8d665fa7357f696dcfd188b91fda88da47b964e,Scaling Video Analytics Systems to Large Camera Deployments,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +a8d665fa7357f696dcfd188b91fda88da47b964e,Scaling Video Analytics Systems to Large Camera Deployments,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, a87bc818f7409ac97c8719aa8fae2c40d214ebbc,Deep Computational Phenotyping,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +a84032e66db042a57722b4a3bc7301ebe567fb8b,A Face Recognition Technique using Principal Component Analysis,India,India,India,20.59368400,78.96288000,edu, a8748a79e8d37e395354ba7a8b3038468cb37e1f,Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, a8748a79e8d37e395354ba7a8b3038468cb37e1f,Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, a838a1184cb9ca86ae910509bb318266101ae656,Question Relevance in Visual Question Answering,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -11329,26 +13965,44 @@ a838a1184cb9ca86ae910509bb318266101ae656,Question Relevance in Visual Question A a838a1184cb9ca86ae910509bb318266101ae656,Question Relevance in Visual Question Answering,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a89eae439dfa7cb727bd5193a5130ae6afcd42e8,On recognizing actions in still images via multiple features,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, a89eae439dfa7cb727bd5193a5130ae6afcd42e8,On recognizing actions in still images via multiple features,Hacettepe University,Hacettepe University,"Hacettepe Üniversitesi Beytepe Kampüsü, Hacettepe-Beytepe Kampüs Yolu, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.86742125,32.73519072,edu, +a864f8cb78958d2b5674e0a68f7e5d7afb4110d8,Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition,China,China,China,35.86166000,104.19539700,edu, a864f8cb78958d2b5674e0a68f7e5d7afb4110d8,Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, a864f8cb78958d2b5674e0a68f7e5d7afb4110d8,Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition,University of Macau,University of Macau,"研究生宿舍 Residência de Estudantes de Pós-Graduação da Universidade de Macau, 澳門大學 Universidade de Macau, 嘉模堂區 Nossa Senhora do Carmo, 氹仔 Taipa, Universidade de Macau em Ilha de Montanha 澳門大學橫琴校區, 中国",22.12401870,113.54510901,edu, a86b1198a2d6dfe57e87a5acc33a747a69d1fdfe,When saliency meets sentiment: Understanding how image content invokes emotion and sentiment,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, +a8f032b300b99dedb9c0f8362557302696d5ee9a,Intelligent Video Object Classification Scheme using Offline Feature Extraction and Machine Learning based Approach,India,India,India,20.59368400,78.96288000,edu, +a8f032b300b99dedb9c0f8362557302696d5ee9a,Intelligent Video Object Classification Scheme using Offline Feature Extraction and Machine Learning based Approach,India,India,India,20.59368400,78.96288000,edu, +a8f032b300b99dedb9c0f8362557302696d5ee9a,Intelligent Video Object Classification Scheme using Offline Feature Extraction and Machine Learning based Approach,India,India,India,20.59368400,78.96288000,edu, a826646a8e4e8a746111d3a6915c8f0fcfcc3a00,Scheduling multithreaded applications onto heterogeneous composite cores architecture,George Mason University,George Mason University,"George Mason University, Aquia Creek Lane, Country Club View, Blue Oaks, Fairfax County, Virginia, 22030-9998, USA",38.83133325,-77.30798839,edu, +a826646a8e4e8a746111d3a6915c8f0fcfcc3a00,Scheduling multithreaded applications onto heterogeneous composite cores architecture,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, a86ea8041bcc91097a8bbb450cb94a616ee85ae6,Diverse and Coherent Paragraph Generation from Images,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, a8035ca71af8cc68b3e0ac9190a89fed50c92332,IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild,Indian Institute of Technology Sri City,"IIIT Chittoor, Sri City, India","630 Gnan Marg, Sri City, Andhra Pradesh 517646, India",13.55681710,80.02612830,edu, +a8035ca71af8cc68b3e0ac9190a89fed50c92332,IIIT-CFW: A Benchmark Database of Cartoon Faces in the Wild,"CVIT, KCIS, IIIT Hyderabad, India","CVIT, KCIS, IIIT Hyderabad, India","IIIT, Gachibowli, Gachibowli, Hyderabad, Telangana 500032, India",17.44509810,78.34976780,edu, +a8117a4733cce9148c35fb6888962f665ae65b1e,A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a812368fe1d4a186322bf72a6d07e1cf60067234,Gaussian processes for modeling of facial expressions,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, a8fd9be2f7775b123f62094eadd59d18bbbef027,Peephole: Predicting Network Performance Before Training,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, a8fd9be2f7775b123f62094eadd59d18bbbef027,Peephole: Predicting Network Performance Before Training,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" a8fd9be2f7775b123f62094eadd59d18bbbef027,Peephole: Predicting Network Performance Before Training,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, a84934a2db769b7523399c8eaf6d2d7582415c5c,Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a84934a2db769b7523399c8eaf6d2d7582415c5c,Convolutional Pose Machines : A Deep Architecture for Estimating Articulated Poses,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +a843bc90343ceeb25b59f6e54de3663e363f5fd3,Learning to predict where to look in interactive environments using deep recurrent q-learning,National University of Ireland,"National University of Ireland, Galway","University Rd, Galway, Ireland",53.27702430,-9.06148640,edu, +a8e75978a5335fd3deb04572bb6ca43dbfad4738,Sparse graphical representation based discriminant analysis for heterogeneous face recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a87e37d43d4c47bef8992ace408de0f872739efc,A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, a87e37d43d4c47bef8992ace408de0f872739efc,A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, a803453edd2b4a85b29da74dcc551b3c53ff17f9,Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +a803453edd2b4a85b29da74dcc551b3c53ff17f9,Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction,China,China,China,35.86166000,104.19539700,edu, +a803453edd2b4a85b29da74dcc551b3c53ff17f9,Pose Invariant Face Recognition Under Arbitrary Illumination Based on 3D Face Reconstruction,China,China,China,35.86166000,104.19539700,edu, a8c8a96b78e7b8e0d4a4a422fcb083e53ad06531,Human Action Recognition using Hu Moment Invariants and Euclidean Distance Classifier,University of Arkansas at Little Rock,University of Arkansas at Little Rock,"University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA",34.72236805,-92.33830255,edu, a8c8a96b78e7b8e0d4a4a422fcb083e53ad06531,Human Action Recognition using Hu Moment Invariants and Euclidean Distance Classifier,University of Arkansas at Little Rock,University of Arkansas at Little Rock,"University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA",34.72236805,-92.33830255,edu, a8c8a96b78e7b8e0d4a4a422fcb083e53ad06531,Human Action Recognition using Hu Moment Invariants and Euclidean Distance Classifier,University of Arkansas at Little Rock,University of Arkansas at Little Rock,"University of Arkansas At Little Rock (UALR), 2801, U A L R Campus Drive, Little Rock, Pulaski County, Arkansas, 72204, USA",34.72236805,-92.33830255,edu, a8d52265649c16f95af71d6f548c15afc85ac905,Situation Recognition with Graph Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, a8123a4e68642b602b5094f2f670ed7aefdd2f58,Online Video Object Detection Using Association LSTM,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +a85e9e11db5665c89b057a124547377d3e1c27ef,Dynamics of Driver's Gaze: Explorations in Behavior Modeling and Maneuver Prediction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,China,China,China,35.86166000,104.19539700,edu, +a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,China,China,China,35.86166000,104.19539700,edu, +a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,China,China,China,35.86166000,104.19539700,edu, +a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,China,China,China,35.86166000,104.19539700,edu, +a8eebadc262594d1ca86d5520f312c1779d00b33,Improved Minimum Squared Error Algorithm with Applications to Face Recognition,China,China,China,35.86166000,104.19539700,edu, a8896fa513ff0587e2e8dea0f3ef585d4d04feff,Production-level facial performance capture using deep convolutional neural networks,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, a8896fa513ff0587e2e8dea0f3ef585d4d04feff,Production-level facial performance capture using deep convolutional neural networks,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, a8896fa513ff0587e2e8dea0f3ef585d4d04feff,Production-level facial performance capture using deep convolutional neural networks,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, @@ -11361,10 +14015,13 @@ a897bd2017f058dfcf7d06ee0b0cb0b6e924c87d,A Scalable Pipelined Dataflow Accelerat a897bd2017f058dfcf7d06ee0b0cb0b6e924c87d,A Scalable Pipelined Dataflow Accelerator for Object Region Proposals on FPGA Platform,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, a820941eaf03077d68536732a4d5f28d94b5864a,Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, a820941eaf03077d68536732a4d5f28d94b5864a,Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, -a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +8c661e613d96210a02e5c7faad6d000b7d683e26,Support Vector Machines for Face Recognition,India,India,India,20.59368400,78.96288000,edu, +8c661e613d96210a02e5c7faad6d000b7d683e26,Support Vector Machines for Face Recognition,India,India,India,20.59368400,78.96288000,edu, 8ca0a7f2e5a7b1676f9a409c3ed5749c8a569b83,A new approach for pedestrian density estimation using moving sensors and computer vision,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 8ca0a7f2e5a7b1676f9a409c3ed5749c8a569b83,A new approach for pedestrian density estimation using moving sensors and computer vision,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 8c7811c029905f4f3e9f31e925634a42e413f6d8,Face Matching Between Near Infrared and Visible Light Images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +8c6427cc1f4e1bbe5d6da34a4511842361f4fbb6,Hypothesis Only Baselines in Natural Language Inference,India,India,India,20.59368400,78.96288000,edu, 8ce9949b88726e117552ce3aa6901a5178db3bb2,Liberating the Biometric Menagerie Through Score Normalization Improvements,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 8c7284a0958c31f57b0558d3951d4486379ffacc,The role of napping on memory consolidation in preschool children,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 8c5d1a334e7a88dc5e54383df1eef13188c2b6b5,Multi-Cue Correlation Filters for Robust Visual Tracking,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, @@ -11373,6 +14030,7 @@ a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localizati 8c99f35d6c3851513adb2c2d5c385c989879e05b,The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 8c99f35d6c3851513adb2c2d5c385c989879e05b,The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 8c99f35d6c3851513adb2c2d5c385c989879e05b,The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, +8cf679ef0ea28557acb86546e4b1b1a617d1c698,Long Term Multi-Target Tracking based on Detection and Data Association,China,China,China,35.86166000,104.19539700,edu, 8c6c743e21592304ee28ec073657bf128376ff8c,Power Normalizing Second-order Similarity Network for Few-shot Learning,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 8c6c743e21592304ee28ec073657bf128376ff8c,Power Normalizing Second-order Similarity Network for Few-shot Learning,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 8c66378df977606d332fc3b0047989e890a6ac76,Hierarchical-PEP model for real-world face recognition,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, @@ -11401,6 +14059,7 @@ a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localizati 8c192cd39f90eb8ff2969f8916ef8967607c5298,Deep Aligned Representations,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 8c3cf0c579a28890e21428fcad7f09175e65e43d,Adding object detection skills to visual dialogue agents,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 8c9eaebd1db02f6f94c6e65bc206402f74523e82,Unsupervised domain adaptation of deep object detectors,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +8c5dcd5a0b3c9940e544993327eab6425ce645d5,nsemble perception of emotions in autistic and typical children and dolescents,g,g,"612 Main St, Neodesha, KS 66757, USA",37.41819100,-95.68183430,edu, 8c5dcd5a0b3c9940e544993327eab6425ce645d5,nsemble perception of emotions in autistic and typical children and dolescents,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 8c5dcd5a0b3c9940e544993327eab6425ce645d5,nsemble perception of emotions in autistic and typical children and dolescents,Plymouth University,Plymouth University,"Plymouth University, Portland Square, Barbican, Plymouth, South West England, England, PL4 6AP, UK",50.37552690,-4.13937687,edu, 8c5dcd5a0b3c9940e544993327eab6425ce645d5,nsemble perception of emotions in autistic and typical children and dolescents,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -11424,6 +14083,7 @@ a8a61badec9b8bc01f002a06e1426a623456d121,Joint Spatio-Temporal Action Localizati 8ccd6aaf1ee4b66c13fffbf560e3920f9bdf5f10,A multitask deep learning model for real-time deployment in embedded systems,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, 8c04688425fa3e03c24d08b09faad49e33f2cc30,Adversarial Dropout Regularization,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 8c193d49d4038c9cc0e55236bbf2b83ed9687786,Cascaded Face Detection Using Neural Network Ensembles,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, +8cd61bb3469aa253d4411ef2295b50683a031d17,Random Occlusion-recovery for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, 8cdd241b474bf7b0632162403ac2a3c4799252ad,Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 8cb55413f1c5b6bda943697bba1dc0f8fc880d28,Video-based Face Recognition on Real-World Data,University of Karlsruhe,University of Karlsruhe,"Karlshochschule International University, 36-38, Karlstraße, Innenstadt-West Westlicher Teil, Innenstadt-West, Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76133, Deutschland",49.00664235,8.39405152,edu, b13bf657ca6d34d0df90e7ae739c94a7efc30dc3,Attribute and Simile Classifiers for Face Verification ( In submission please do not distribute . ),Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, @@ -11445,11 +14105,16 @@ b1665e1ddf9253dcaebecb48ac09a7ab4095a83e,Emotion recognition using facial expres b1665e1ddf9253dcaebecb48ac09a7ab4095a83e,Emotion recognition using facial expressions with active appearance models,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu, b161f4e6ebb2260deeacf3d05de5bd70c811e66d,Multiscale High-Level Feature Fusion for Histopathological Image Classification,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, b1398234454ee3c9bc5a20f6d2d00232cb79622c,Combining Low-Density Separators with CNNs,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, +b1444b3bf15eec84f6d9a2ade7989bb980ea7bd1,Local Directional Relation Pattern for Unconstrained and Robust Face Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b1429e4d3dd3412e92a37d2f9e0721ea719a9b9e,Person re-identification using multiple first-person-views on wearable devices,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +b14fb84db85ab4bbbcc8c92200e9c69b00737f91,A REVIEW ON CLASSIFIERS USED IN FACE RECOGNITION METHODS UNDER POSE AND ILLUMINATION VARIATION,India,India,India,20.59368400,78.96288000,edu, +b14fb84db85ab4bbbcc8c92200e9c69b00737f91,A REVIEW ON CLASSIFIERS USED IN FACE RECOGNITION METHODS UNDER POSE AND ILLUMINATION VARIATION,India,India,India,20.59368400,78.96288000,edu, +b137480d2ccf3b53433de208815ce891d95af912,Visual Sentences for Pose Retrieval Over Low-Resolution Cross-Media Dance Collections,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b1db174463b0bbc54a61fcc83acfb89ad3e3d18f,Loss Functions for Multiset Prediction,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, b1df214e0f1c5065f53054195cd15012e660490a,Supplementary Material to Sparse Coding and Dictionary Learning with Linear Dynamical Systems,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, b13b6e3dfdf6d708a923c547113d99047f1a0374,Neural activation to emotional faces in adolescents with autism spectrum disorders.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, b13b6e3dfdf6d708a923c547113d99047f1a0374,Neural activation to emotional faces in adolescents with autism spectrum disorders.,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +b1a3b19700b8738b4510eecf78a35ff38406df22,Automatic Analysis of Facial Actions : A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b18858ad6ec88d8b443dffd3e944e653178bc28b,2017 Trojaning Attack on Neural Networks,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, b18858ad6ec88d8b443dffd3e944e653178bc28b,2017 Trojaning Attack on Neural Networks,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, b18858ad6ec88d8b443dffd3e944e653178bc28b,2017 Trojaning Attack on Neural Networks,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, @@ -11475,9 +14140,14 @@ b1e8476673ee55f3e33bfb7c5f309032522c4c1f,Context-Dependent Diffusion Network for b13a882e6168afc4058fe14cc075c7e41434f43e,Recognition of Humans and Their Activities Using Video,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, b185f0a39384ceb3c4923196aeed6d68830a069f,Describing clothing by semantic attributes,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, b185f0a39384ceb3c4923196aeed6d68830a069f,Describing clothing by semantic attributes,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +b191aa2c5b8ece06c221c3a4a0914e8157a16129,Deep Spatio-temporal Manifold Network for Action Recognition,China,China,China,35.86166000,104.19539700,edu, b191aa2c5b8ece06c221c3a4a0914e8157a16129,Deep Spatio-temporal Manifold Network for Action Recognition,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, b191aa2c5b8ece06c221c3a4a0914e8157a16129,Deep Spatio-temporal Manifold Network for Action Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +b191aa2c5b8ece06c221c3a4a0914e8157a16129,Deep Spatio-temporal Manifold Network for Action Recognition,China,China,China,35.86166000,104.19539700,edu, +b191aa2c5b8ece06c221c3a4a0914e8157a16129,Deep Spatio-temporal Manifold Network for Action Recognition,China,China,China,35.86166000,104.19539700,edu, +b1bd58bb76ae9e4504622a941e1da21a24b5cfdd,"International conference on Advanced Computing , Communication and Networks ’ 11 1087 Face Recognition Using Incremental Principal Component Analysis",India,India,India,20.59368400,78.96288000,edu, b16580d27bbf4e17053f2f91bc1d0be12045e00b,Pose-Invariant Face Recognition with a Two-Level Dynamic Programming Algorithm,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, +b16580d27bbf4e17053f2f91bc1d0be12045e00b,Pose-Invariant Face Recognition with a Two-Level Dynamic Programming Algorithm,"Robert Bosch GmbH, Hildesheim, Germany","Robert Bosch GmbH, Hildesheim, Germany","Robert-Bosch-Straße 200, 31139 Hildesheim, Germany",52.11667120,9.89667860,edu, b1e92402ff89540fb9294620f429eacb0aba7d1c,Working Draft : This is work in progress ! Datasheets for Datasets ∗,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, b19ca50a9e2415072a97482005fe0b77a8a495ce,Hierarchical Direct Appearance Model for Elastic Labeled Graph Localization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, b19e8bce7a3180456f8748caabade89dd802ea84,Inferring and Executing Programs for Visual Reasoning Supplementary Material,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -11493,19 +14163,25 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From 6e968f74fd6b4b3b172c787f298b3d4746ec5cc9,A 3D Polygonal Line Chains Matching Method for Face Recognition,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, 6e968f74fd6b4b3b172c787f298b3d4746ec5cc9,A 3D Polygonal Line Chains Matching Method for Face Recognition,Griffith University,Griffith University,"Griffith University Nathan Campus, Johnson Path, Nathan, Nathan Heights, QLD, 4111, Australia",-27.55339750,153.05336234,edu, 6e9a8a34ab5b7cdc12ea52d94e3462225af2c32c,Fusing Aligned and Non-aligned Face Information for Automatic Affect Recognition in the Wild: A Deep Learning Approach,Korea Advanced Institute of Science and Technology,Korea Advanced Institute of Science and Technology,"카이스트, 291, 대학로, 온천2동, 온천동, 유성구, 대전, 34141, 대한민국",36.36971910,127.36253700,edu, +6ed559a0d04e7d4185eeea43f77e372483982e4b,Paper on Player Tracking and Automated Analysis in Sports Videos,India,India,India,20.59368400,78.96288000,edu, 6e025c0415c9ff0705d4e4439a48e8fffe7d44c1,Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 6e782073a013ce3dbc5b9b56087fd0300c510f67,Kinect For Windows V 2 . 0 Sensor And Sdk 2,University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, 6eb8e193687c16f0edc3742d3549ad175ef648d1,Working memory load disrupts gaze-cued orienting of attention,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, +6eb8e193687c16f0edc3742d3549ad175ef648d1,Working memory load disrupts gaze-cued orienting of attention,India,India,India,20.59368400,78.96288000,edu, 6eb1b5935b0613a41b72fd9e7e53a3c0b32651e9,LEGO Pictorial Scales for Assessing Affective Responses,University of Canterbury,University of Canterbury,"University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa",-43.52405280,172.58030625,edu, 6eb1b5935b0613a41b72fd9e7e53a3c0b32651e9,LEGO Pictorial Scales for Assessing Affective Responses,Texas A&M University,Texas A&M University,"Texas A&M University, Horticulture Street, Park West, College Station, Brazos County, Texas, 77841, USA",30.61083650,-96.35212800,edu, 6eb1b5935b0613a41b72fd9e7e53a3c0b32651e9,LEGO Pictorial Scales for Assessing Affective Responses,University of Canterbury,University of Canterbury,"University of Canterbury, Uni-Cycle, Ilam, Christchurch, Christchurch City, Canterbury, 8040, New Zealand/Aotearoa",-43.52405280,172.58030625,edu, 6e91be2ad74cf7c5969314b2327b513532b1be09,Dimensionality Reduction with Subspace Structure Preservation,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu, +6ee5205408fc6db03460c05765ae0f21a6eb9552,A literature review on recent multi-object tracking methods based on HMM and particle filter,India,India,India,20.59368400,78.96288000,edu, 6e177341d4412f9c9a639e33e6096344ef930202,A Gender Recognition System from Facial Image,Institute of Information Technology,Institute of Information Technology,"Institute of Information Technology, Sir Sayed Road, ফকিরাপুল, সিদ্দিক বাজার, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.72898990,90.39826820,edu, 6e177341d4412f9c9a639e33e6096344ef930202,A Gender Recognition System from Facial Image,Institute of Information Technology,Institute of Information Technology,"Institute of Information Technology, Sir Sayed Road, ফকিরাপুল, সিদ্দিক বাজার, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.72898990,90.39826820,edu, 6e177341d4412f9c9a639e33e6096344ef930202,A Gender Recognition System from Facial Image,University of Dhaka,University of Dhaka,"World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, জিগাতলা, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.73169570,90.39652750,edu, 6e177341d4412f9c9a639e33e6096344ef930202,A Gender Recognition System from Facial Image,University of Dhaka,University of Dhaka,"World War Memorial, Shahid Minar Rd, Jagannath Hall, DU, জিগাতলা, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.73169570,90.39652750,edu, +6e885d831568520aa95f523f625623e46578efd0,Camera Selection for Adaptive Human-Computer Interface,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +6e885d831568520aa95f523f625623e46578efd0,Camera Selection for Adaptive Human-Computer Interface,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6ea6be2c270f7d366e9e93ced7ea5a17d3a24c1a,Real-Time Semantic Segmentation Benchmarking Framework,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, 6e4e5ef25f657de8fb383c8dfeb8e229eea28bb9,RON: Reverse Connection with Objectness Prior Networks for Object Detection,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +6e297f10a02580dfc74595ff8d7db34020002ec4,Correlation Net : spatio temporal multimodal deep learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6eb5db8e6a79ad59bf4f4a5fccdd5b10237408d7,Cross Talk: The Microbiota and Neurodevelopmental Disorders,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, 6e3e5f5fac0bfe1d54d6d414a1a8c2d8de586eee,Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation.,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 6e3e5f5fac0bfe1d54d6d414a1a8c2d8de586eee,Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation.,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, @@ -11525,18 +14201,24 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From 6e40b120bf46807ef28ebdd8860e3109708bb888,Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 6e209d7d33c0be8afae863f4e4e9c3e86826711f,Weakly-supervised segmentation by combining CNN feature maps and object saliency maps,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, 6ee5dbbc167167105162abd888ca4824a048fae0,Face recognition using non-linear image reconstruction,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015" +6e12b8cb01abd5d6af6023e284009d417c53d160,Coarse-to-fine : A RNN-based hierarchical attention model for vehicle re-identification ?,China,China,China,35.86166000,104.19539700,edu, 6e12b8cb01abd5d6af6023e284009d417c53d160,Coarse-to-fine : A RNN-based hierarchical attention model for vehicle re-identification ?,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 6e12b8cb01abd5d6af6023e284009d417c53d160,Coarse-to-fine : A RNN-based hierarchical attention model for vehicle re-identification ?,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 6eafa9a536d10b460f780e07c0052e7c246059e7,Automatic individual pig detection and tracking in surveillance videos,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu, 6eafa9a536d10b460f780e07c0052e7c246059e7,Automatic individual pig detection and tracking in surveillance videos,University of Leeds,University of Leeds,"University of Leeds, Inner Ring Road, Woodhouse, Leeds, Yorkshire and the Humber, England, LS2 9NS, UK",53.80387185,-1.55245712,edu, 6eeff23d6e0127cfbbd0374a83341173a418ba7f,Dual Attention Network for Visual Question Answering,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, +6e32c368a6157fb911c9363dc3e967a7fb2ad9f7,Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu, 6e60536c847ac25dba4c1c071e0355e5537fe061,Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 6e60536c847ac25dba4c1c071e0355e5537fe061,Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 6e60536c847ac25dba4c1c071e0355e5537fe061,Computer Vision and Natural Language Processing: Recent Approaches in Multimedia and Robotics,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +6ef6e6e8b295c90ab9390f07d91c9ef8304a409d,Preserving privacy by de-identifying face images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6e647a430d603f4d82e44b4a87de580a0fcaec88,BigSUR: large-scale structured urban reconstruction,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +6e647a430d603f4d82e44b4a87de580a0fcaec88,BigSUR: large-scale structured urban reconstruction,Miami University,Miami University,"1601 University Blvd, Hamilton, OH 45011, USA",39.37778800,-84.56301210,edu, 6e647a430d603f4d82e44b4a87de580a0fcaec88,BigSUR: large-scale structured urban reconstruction,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 6e1c597fdad6c43ce6e404f14f336576d8373acd,EFFICIENTLY AND EFFECTIVELY LEARNING MODELS OF SIMILARITY FROM HUMAN FEEBACK,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 6e1c597fdad6c43ce6e404f14f336576d8373acd,EFFICIENTLY AND EFFECTIVELY LEARNING MODELS OF SIMILARITY FROM HUMAN FEEBACK,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, +6e8c7e0f6a83fd02f0cc6872ca16d755406723e5,Spatio-Temporal Closed-Loop Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +6eb2972abed9507e21b959ba7754b599a7af41fb,Face Recognition and Verification : A Literature Review,India,India,India,20.59368400,78.96288000,edu, 6eddea1d991e81c1c3024a6cea422bc59b10a1dc,Towards automatic analysis of gestures and body expressions in depression,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 6eddea1d991e81c1c3024a6cea422bc59b10a1dc,Towards automatic analysis of gestures and body expressions in depression,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 6e7afe55d363adf80330116968163c7e9500f53b,SVD-based projection for face recognition,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, @@ -11545,17 +14227,26 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From 6e00a406edb508312108f683effe6d3c1db020fb,Faces as Lighting Probes via Unsupervised Deep Highlight Extraction,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 6e00a406edb508312108f683effe6d3c1db020fb,Faces as Lighting Probes via Unsupervised Deep Highlight Extraction,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, 6e00a406edb508312108f683effe6d3c1db020fb,Faces as Lighting Probes via Unsupervised Deep Highlight Extraction,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, +6e396401b3950eccdaf8265aeae8a4f0da8965a0,Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis,Russia,Russia,Russia,61.52401000,105.31875600,edu, 6e80ad43c5f383c1d87b1ced2a336fe5cd44e044,Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +6e80ad43c5f383c1d87b1ced2a336fe5cd44e044,Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network,China,China,China,35.86166000,104.19539700,edu, +6e80ad43c5f383c1d87b1ced2a336fe5cd44e044,Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network,China,China,China,35.86166000,104.19539700,edu, 6eebd8762996501b28d3d94a7c166c79d37e7a57,Sequential Spectral Learning to Hash with Multiple Representations,Pohang University of Science and Technology,Pohang University of Science and Technology,"포스텍, 77, 청암로, 효곡동, 남구, 포항시, 경북, 37673, 대한민국",36.01773095,129.32107509,edu, 6e61641c9a9cddb38948b6600c0ebc3d2057c697,Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +6e61641c9a9cddb38948b6600c0ebc3d2057c697,Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 6e61641c9a9cddb38948b6600c0ebc3d2057c697,Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 6e97a99b2879634ecae962ddb8af7c1a0a653a82,Towards Context-aware Interaction Recognition,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 6e6923a8b39cd22d714ae9364d18bec8178e5632,Generating Image Descriptions Using Semantic Similarities in the Output Space,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +6ecd4025b7b5f4894c990614a9a65e3a1ac347b2,Automatic Naming of Character using Video Streaming for Face Recognition with Graph Matching,India,India,India,20.59368400,78.96288000,edu, +6ecd4025b7b5f4894c990614a9a65e3a1ac347b2,Automatic Naming of Character using Video Streaming for Face Recognition with Graph Matching,India,India,India,20.59368400,78.96288000,edu, 6e69de19576ea2dfa4cb84a450ce18eccd183a95,Easy Minimax Estimation with Random Forests for Human Pose Estimation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +01d94d568447075d9f32f6c1e7af9255188a6938,A biometric database with rotating head videos and hand-drawn face sketches,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 0136d9114d62aaedcfbb50ed9594d18e10424179,Learning Visual Models of Social Engagement,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 011d461718c39c9d196cb84b2e881c1660ef8f55,Context Aware Active Learning of Activity Recognition Models,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, 019f1462c1b7101100334e4c421d35feea612492,Running Head : UNFAMILIAR FACE MATCHING The Effects of External Features and Time Pressure on Unfamiliar Face Matching,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 019f1462c1b7101100334e4c421d35feea612492,Running Head : UNFAMILIAR FACE MATCHING The Effects of External Features and Time Pressure on Unfamiliar Face Matching,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +01a8c7335f0d9321c95d6a57f2dd9f128735f1d7,One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace,China,China,China,35.86166000,104.19539700,edu, +01a8c7335f0d9321c95d6a57f2dd9f128735f1d7,One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace,China,China,China,35.86166000,104.19539700,edu, 01a8c7335f0d9321c95d6a57f2dd9f128735f1d7,One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 01a078cd25b7ce1049efc07bd754980771150775,Visual object detection by parts-based modeling using extended histogram of gradients,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 016eb7b32d1fdec0899151fb03799378bf59bbe5,Point Linking Network for Object Detection.,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, @@ -11565,13 +14256,17 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From 019c5cb085dbbc8a0fc78645e385aa4e0b468fb8,Continuous Learning of Context-dependent Processing in Neural Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 012e281061126caf2e2c94ca6ba0116c8a8930fb,HUMAN BODY DETECTION AND SAFETY CARE SYSTEM FOR A FLYING ROBOT,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, 01a31f75c9c3296cf3cb45b7bad97acb300b7459,Part-Aligned Bilinear Representations for Person Re-identification,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, -01a31f75c9c3296cf3cb45b7bad97acb300b7459,Part-Aligned Bilinear Representations for Person Re-identification,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +01a31f75c9c3296cf3cb45b7bad97acb300b7459,Part-Aligned Bilinear Representations for Person Re-identification,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +01a31f75c9c3296cf3cb45b7bad97acb300b7459,Part-Aligned Bilinear Representations for Person Re-identification,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 0182d090478be67241392df90212d6cd0fb659e6,Discovering localized attributes for fine-grained recognition,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 0182d090478be67241392df90212d6cd0fb659e6,Discovering localized attributes for fine-grained recognition,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, +01e812ad00b7743e9b24aa070a24023f05710b8b,A Distributed Representation Based Query Expansion Approach for Image Captioning,China,China,China,35.86166000,104.19539700,edu, 016b1080c108718fc59e58e47b4867baebd57d8e,CEPSTRAL METHODS FOR IMAGE FEATURE EXTRACTION,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, +01f21ad0eccdbb56dd60c397a27415b9f33d5ec3,Learning Contextual Dependence With Convolutional Hierarchical Recurrent Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 01c09acf0c046296643de4c8b55a9330e9c8a419,MANIFOLD LEARNING USING EUCLIDEAN -NEAREST NEIGHBOR GRAPHS,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, -01efec88d36070dc3bc49f341a77476f74d373bc,Generation and Comprehension of Unambiguous Object Descriptions,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +01efec88d36070dc3bc49f341a77476f74d373bc,Generation and Comprehension of Unambiguous Object Descriptions,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 01efec88d36070dc3bc49f341a77476f74d373bc,Generation and Comprehension of Unambiguous Object Descriptions,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +01f5689a4010ae14ca444c36bec81f12ce528912,"EXTENDED FAST SEARCH CLUSTERING ALGORITHM: WIDELY DENSITY CLUSTERS, NO DENSITY PEAKS",China,China,China,35.86166000,104.19539700,edu, 015df3b57e44b8ddc51c87e5255fa4940bd91963,DSFD: Dual Shot Face Detector,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 013af5a24ec62b000d00d86c1a504573c0f35a3e,Image-guided Non-local Dense Matching with Three-steps Optimization,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 015a5fde8c9c89ae9ae8349183018acb8f0e741f,Egocentric Height Estimation,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, @@ -11580,12 +14275,16 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From 015f9cf25b5902edadd984df53df6e16848c9528,Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 015f9cf25b5902edadd984df53df6e16848c9528,Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 01018a509f32601e1bbf7f0159aad1a513e23f92,Computers in the Human Interaction Loop,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, +0139eb62a87649bf7d259542b5afc6be121b094b,Unsupervised feature selection using nonnegative spectral analysis,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 0139eb62a87649bf7d259542b5afc6be121b094b,Unsupervised feature selection using nonnegative spectral analysis,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0139eb62a87649bf7d259542b5afc6be121b094b,Unsupervised feature selection using nonnegative spectral analysis,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 01c840aa27a6c234c0e55e9a5874719bb4d8fbe3,Probabilistic Label Relation Graphs with Ising Models,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 01a19d3e902d7431f533f5f0b54510a7fb9bda23,A Practical Face Relighting Method for Directional Lighting Normalization,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 014143aa16604ec3f334c1407ceaa496d2ed726e,Large-scale manifold learning,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu, 016dd886d5cb01c55a0204e2988274cf9417b564,Strong Appearance and Expressive Spatial Models for Human Pose Estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +016dd886d5cb01c55a0204e2988274cf9417b564,Strong Appearance and Expressive Spatial Models for Human Pose Estimation,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +016a8ed8f6ba49bc669dbd44de4ff31a79963078,Face relighting for face recognition under generic illumination,China,China,China,35.86166000,104.19539700,edu, +016a8ed8f6ba49bc669dbd44de4ff31a79963078,Face relighting for face recognition under generic illumination,China,China,China,35.86166000,104.19539700,edu, 016a8ed8f6ba49bc669dbd44de4ff31a79963078,Face relighting for face recognition under generic illumination,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 016800413ebd1a87730a5cf828e197f43a08f4b3,Learning Attributes Equals Multi-Source Domain Generalization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 016800413ebd1a87730a5cf828e197f43a08f4b3,Learning Attributes Equals Multi-Source Domain Generalization,University of Iowa,University of Iowa,"University of Iowa, Hawkeye Court, Iowa City, Johnson County, Iowa, 52246, USA",41.66590000,-91.57310307,edu, @@ -11596,6 +14295,8 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From 014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf,Attention driven person re-identification,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 01cc8a712e67384f9ef9f30580b7415bfd71e980,Failing to ignore: paradoxical neural effects of perceptual load on early attentional selection in normal aging.,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 01cc8a712e67384f9ef9f30580b7415bfd71e980,Failing to ignore: paradoxical neural effects of perceptual load on early attentional selection in normal aging.,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +01dfd60c0851c4e5a99176e99aa369e1b5f606b7,Disentangled Variational Representation for Heterogeneous Face Recognition,China,China,China,35.86166000,104.19539700,edu, +01dfd60c0851c4e5a99176e99aa369e1b5f606b7,Disentangled Variational Representation for Heterogeneous Face Recognition,China,China,China,35.86166000,104.19539700,edu, 01dfd60c0851c4e5a99176e99aa369e1b5f606b7,Disentangled Variational Representation for Heterogeneous Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 01dfd60c0851c4e5a99176e99aa369e1b5f606b7,Disentangled Variational Representation for Heterogeneous Face Recognition,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu, 01c9dc5c677aaa980f92c4680229db482d5860db,Temporal Action Detection Using a Statistical Language Model,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, @@ -11607,6 +14308,7 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From 013909077ad843eb6df7a3e8e290cfd5575999d2,A Semi-automatic Methodology for Facial Landmark Annotation,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 013909077ad843eb6df7a3e8e290cfd5575999d2,A Semi-automatic Methodology for Facial Landmark Annotation,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu, 013909077ad843eb6df7a3e8e290cfd5575999d2,A Semi-automatic Methodology for Facial Landmark Annotation,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +0141c695e4cf87cc58e0d552004bcb53258c4915,Lying Pose Recognition for Elderly Fall Detection,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 0141c695e4cf87cc58e0d552004bcb53258c4915,Lying Pose Recognition for Elderly Fall Detection,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015" 0141c695e4cf87cc58e0d552004bcb53258c4915,Lying Pose Recognition for Elderly Fall Detection,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 01c687f0cb8c8e1002376f834c9b43b4b653a52f,Beyond shape: incorporating color invariance into a biologically inspired feedforward model of category recognition,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, @@ -11618,21 +14320,31 @@ b1177aad0db8bd6b605ffe0d68addaf97b1f9a6b,Visual Representations and Models: From 014043cd53e4faf203e8938f1f32cc494bb414af,Domain Adaptive Subspace Clustering,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 012876a5f45da258675add1614ad7608a210141a,What are the Visual Features Underlying Human Versus Machine Vision?,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 0162e84bbe995ec06e8e59dd9023c67d8f0e8880,Learning to Hash with Partial Tags: Exploring Correlation between Tags and Hashing Bits for Large Scale Image Retrieval,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, +013e9e0f712d8caa89dd0881ab8dcf90d687ba50,Face Recognition using LBP and LVQ Classifier,India,India,India,20.59368400,78.96288000,edu, 0108504305468275985da608b77dbbbe4aee34c7,An efficient branch-and-bound algorithm for optimal human pose estimation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 01239e3c4dd6b7b271df08c17398ceb260979ced,A Signal Processing Approach To Malware Analysis,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, +01085ce83c6e8781f3d59bf8fb6a2f14c7fda9d6,Nearest neighbor based collection OCR,India,India,India,20.59368400,78.96288000,edu, +01085ce83c6e8781f3d59bf8fb6a2f14c7fda9d6,Nearest neighbor based collection OCR,India,India,India,20.59368400,78.96288000,edu, 01085ce83c6e8781f3d59bf8fb6a2f14c7fda9d6,Nearest neighbor based collection OCR,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, +0163d847307fae508d8f40ad193ee542c1e051b4,Classemes and Other Classifier-Based Features for Efficient Object Categorization,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +017ce398e1eb9f2eed82d0b22fb1c21d3bcf9637,FACE RECOGNITION WITH HARMONIC DELIGHTING,China,China,China,35.86166000,104.19539700,edu, +017ce398e1eb9f2eed82d0b22fb1c21d3bcf9637,FACE RECOGNITION WITH HARMONIC DELIGHTING,China,China,China,35.86166000,104.19539700,edu, 01576b5fe525d8dee025fd3776337d74dacdf224,Regression using Gaussian Process manifold kernel dimensionality reduction,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 01dc1e03f39901e212bdf291209b7686266aeb13,Actionness Estimation Using Hybrid Fully Convolutional Networks,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 01dc1e03f39901e212bdf291209b7686266aeb13,Actionness Estimation Using Hybrid Fully Convolutional Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +01c8d7a3460422412fba04e7ee14c4f6cdff9ad7,Rule Based System for Recognizing Emotions Using Multimodal Approach,India,India,India,20.59368400,78.96288000,edu, 01125e3c68edb420b8d884ff53fb38d9fbe4f2b8,Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 01125e3c68edb420b8d884ff53fb38d9fbe4f2b8,Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu, 01ae6eac1b235dc2057773d5e0bb7b08d7dda7aa,Depth Sweep Regression Forests for Estimating 3D Human Pose from Images,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 01ae6eac1b235dc2057773d5e0bb7b08d7dda7aa,Depth Sweep Regression Forests for Estimating 3D Human Pose from Images,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, +014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,China,China,China,35.86166000,104.19539700,edu, 014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, 014d0bc1a8cf8c7ea14c73d9ba518bcf321d9ca7,Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 01a903739564f575b81c87f7a9e2cb7b609f7ada,Image retrieval using scene graphs,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 01424c2510fbca67c3cb016ac919f6a58e37541f,2D Human Pose Estimation in TV Shows,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 01aad32349489cabfcb619024b297d8f854e9d1f,From Visual Attributes to Adjectives through Decompositional Distributional Semantics,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +01350214f850f43d72268df4f98b05901fbbe06c,1 Deep convolutional neural networks for detection of 2 polar mesocyclones from satellite mosaics 3,Russia,Russia,Russia,61.52401000,105.31875600,edu, +01350214f850f43d72268df4f98b05901fbbe06c,1 Deep convolutional neural networks for detection of 2 polar mesocyclones from satellite mosaics 3,Russia,Russia,Russia,61.52401000,105.31875600,edu, 015d24c1a8621bcb6b6beac3c4d5a34af5589ec6,Classification and feature selection with human performance data,Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu, 0149b14428de816bd62f80bbfd89238b765edaf7,Classification via Minimum Incremental Coding Length (MICL),"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 01c44701017b492592a53bd100096aaa55a6b8e4,Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -11659,11 +14371,15 @@ c6e2641d99c72bbffef8a97ec019dd9379dd8b3a,Temporal Action Detection by Joint Iden c6526dd3060d63a6c90e8b7ff340383c4e0e0dd8,Anxiety promotes memory for mood-congruent faces but does not alter loss aversion.,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, c6526dd3060d63a6c90e8b7ff340383c4e0e0dd8,Anxiety promotes memory for mood-congruent faces but does not alter loss aversion.,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, c63b614865bd9e5b4944894083e5e9d4aba82d86,Large Scale Similarity Learning Using Similar Pairs for Person Verification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +c660500b49f097e3af67bb14667de30d67db88e3,Facial Asymmetry Quantification for Expression Invariant Human Identification,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, c660500b49f097e3af67bb14667de30d67db88e3,Facial Asymmetry Quantification for Expression Invariant Human Identification,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, c660500b49f097e3af67bb14667de30d67db88e3,Facial Asymmetry Quantification for Expression Invariant Human Identification,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, c660500b49f097e3af67bb14667de30d67db88e3,Facial Asymmetry Quantification for Expression Invariant Human Identification,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +c6638c7c1ec7b8fd5cdba039536fb44d12cff5c2,Towards a Development of Augmented Reality for Jewellery App,India,India,India,20.59368400,78.96288000,edu, +c6638c7c1ec7b8fd5cdba039536fb44d12cff5c2,Towards a Development of Augmented Reality for Jewellery App,India,India,India,20.59368400,78.96288000,edu, c62b877c4dfa861e47e5a34e443a57599aca4e08,"Sparse, collaborative, or nonnegative representation: Which helps pattern classification?",Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, c62b877c4dfa861e47e5a34e443a57599aca4e08,"Sparse, collaborative, or nonnegative representation: Which helps pattern classification?",Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +c62b877c4dfa861e47e5a34e443a57599aca4e08,"Sparse, collaborative, or nonnegative representation: Which helps pattern classification?",China,China,China,35.86166000,104.19539700,edu, c6df59e1d77d84f418666235979cbce6d400d3ca,Spectral Clustering Based on Local PCA,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, c6df59e1d77d84f418666235979cbce6d400d3ca,Spectral Clustering Based on Local PCA,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, c6df59e1d77d84f418666235979cbce6d400d3ca,Spectral Clustering Based on Local PCA,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, @@ -11673,9 +14389,11 @@ c6d78245ab09c5690e483962dd51e0408fbf5cc7,Neural responses to emotional expressio c66eb0e17076bff559d8f94a8f967d52db2bab01,Video Classification System for Moments in Time Challenge 2018,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, c66eb0e17076bff559d8f94a8f967d52db2bab01,Video Classification System for Moments in Time Challenge 2018,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, c6542d17b212d808cba48cd2b1536446b14e38b3,You said that?,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +c6542d17b212d808cba48cd2b1536446b14e38b3,You said that?,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, c6ce8eb37dafed09e1c55735fd1f1e9dc9c6bfe2,Joint background reconstruction and foreground segmentation via a two-stage convolutional neural network,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, c6ce8eb37dafed09e1c55735fd1f1e9dc9c6bfe2,Joint background reconstruction and foreground segmentation via a two-stage convolutional neural network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, c69ea9367e1244bfa5d3fc290b8a33be3abd8c24,"Many faces, one rule: the role of perceptual expertise in infants’ sequential rule learning",Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, +c6bceb0eb8aded28edbe2607ecbe2f5ee2b57bdc,Random projections on manifolds of Symmetric Positive Definite matrices for image classification,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, c6bceb0eb8aded28edbe2607ecbe2f5ee2b57bdc,Random projections on manifolds of Symmetric Positive Definite matrices for image classification,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, c6bceb0eb8aded28edbe2607ecbe2f5ee2b57bdc,Random projections on manifolds of Symmetric Positive Definite matrices for image classification,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, c6f58adf4a5ee8499cbc9b9bc1e6f1c39f1f8eae,Earn to P Ay a Ttention,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -11692,23 +14410,31 @@ f6f12e0fbfce067d02445abde76be0522e4db329,Online Multiple targets Detection and T f6e00d6430cbbaa64789d826d093f7f3e323b082,Visual Object Recognition,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, f6e00d6430cbbaa64789d826d093f7f3e323b082,Visual Object Recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, f61b4aa14b052e143db302402cf976ee93cb4eee,Real-time Semantic Image Segmentation via Spatial Sparsity,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, -f61d5f2a082c65d5330f21b6f36312cc4fab8a3b,Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +f61d5f2a082c65d5330f21b6f36312cc4fab8a3b,Multi-Level Variational Autoencoder: Learning Disentangled Representations From Grouped Observations,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, f660ea723b62f69b9f4c439724a6b73357e1d3c3,Survey on the attention based RNN model and its applications in computer vision,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, f660ea723b62f69b9f4c439724a6b73357e1d3c3,Survey on the attention based RNN model and its applications in computer vision,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, f6c7fbd84e6ac61af40e670e589ec52fa435f396,An Automated System for Garment Texture Design Class Identification,Institute of Information Technology,Institute of Information Technology,"Institute of Information Technology, Sir Sayed Road, ফকিরাপুল, সিদ্দিক বাজার, ঢাকা, ঢাকা বিভাগ, 1000, বাংলাদেশ",23.72898990,90.39826820,edu, f6fa68847e0ce7fda05a9c73ebcb484f0b42a9af,Face Recognition Across Pose and Illumination,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, f68255269d509ff617c2532bd2da71edf9576efc,New chaff point based fuzzy vault for multimodal biometric cryptosystem using particle swarm optimization,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, +f68255269d509ff617c2532bd2da71edf9576efc,New chaff point based fuzzy vault for multimodal biometric cryptosystem using particle swarm optimization,India,India,India,20.59368400,78.96288000,edu, +f68255269d509ff617c2532bd2da71edf9576efc,New chaff point based fuzzy vault for multimodal biometric cryptosystem using particle swarm optimization,India,India,India,20.59368400,78.96288000,edu, f6a65be9a3790e8fd3b5116450a47a8e48a54d63,Parametric Piecewise Linear Subspace Method for Processing Facial Images with 3 D Pose Variations,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, f6c814f6efff8031b9ebc62cdf0f3b343441e7d3,XOGAN: One-to-Many Unsupervised Image-to-Image Translation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, +f65896855e5df3db5422b57ab360287efa213066,DETECTION OF UNCONTROLLED MOTION BEHAVIOR IN HUMAN,India,India,India,20.59368400,78.96288000,edu, f65ff9d6d0025f198ac4f924d2f0df121bc51c67,Overlapping on partitioned facial images,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, f65c03004e3b2ef4b4224396f7a31ee75a252d85,End-to-End Multi-Task Learning with Attention,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, f611f46455ed6ad9af85eeb22e294082dced9bed,Learning of Visual Attribute Clusters for MultiTask Classification,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, f611f46455ed6ad9af85eeb22e294082dced9bed,Learning of Visual Attribute Clusters for MultiTask Classification,University of Ioannina,University of Ioannina,"Πανεπιστήμιο Ιωαννίνων, Πανεπιστημίου, Κάτω Νεοχωρόπουλο, Νεοχωρόπουλο, Δήμος Ιωαννιτών, Π.Ε. Ιωαννίνων, Περιφέρεια Ηπείρου, Ήπειρος - Δυτική Μακεδονία, 45110, Ελλάδα",39.61623060,20.83963011,edu, f632790471b2bed7ba7c28b12cda9360ec586a63,Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, +f632790471b2bed7ba7c28b12cda9360ec586a63,Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval,China,China,China,35.86166000,104.19539700,edu, f632790471b2bed7ba7c28b12cda9360ec586a63,Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, f6149fc5b39fa6b33220ccee32a8ee3f6bbcaf4a,Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, +f67a73c9dd1e05bfc51219e70536dbb49158f7bc,A Gaussian Mixture Model for Classifying the Human Age using DWT and Sammon Map,India,India,India,20.59368400,78.96288000,edu, +f67a73c9dd1e05bfc51219e70536dbb49158f7bc,A Gaussian Mixture Model for Classifying the Human Age using DWT and Sammon Map,India,India,India,20.59368400,78.96288000,edu, f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f,Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +f6c8d5e35d7e4d60a0104f233ac1a3ab757da53f,Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, f69de2b6770f0a8de6d3ec1a65cb7996b3c99317,Face Recognition System Based on Sparse Codeword Analysis,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, +f69de2b6770f0a8de6d3ec1a65cb7996b3c99317,Face Recognition System Based on Sparse Codeword Analysis,India,India,India,20.59368400,78.96288000,edu, f62d71e701c9fd021610e2076b5e0f5b2c7c86ca,Mahalanobis Distance Learning for Person Re-identification,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, f683533c105ab71a2ce73e18b7e13907a923f739,On Shape-Mediated Enrolment in Ear Biometrics,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, f6c7f1cbfa412fb6244992b7fb2eda0a9e0d933e,Expertise Moderates Incidentally Learned Associations Between Words and Images,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, @@ -11718,9 +14444,15 @@ f6c7f1cbfa412fb6244992b7fb2eda0a9e0d933e,Expertise Moderates Incidentally Learne f6c7f1cbfa412fb6244992b7fb2eda0a9e0d933e,Expertise Moderates Incidentally Learned Associations Between Words and Images,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, f6c7f1cbfa412fb6244992b7fb2eda0a9e0d933e,Expertise Moderates Incidentally Learned Associations Between Words and Images,Bielefeld University,Bielefeld University,"Fachhochschule Bielefeld FB Gestaltung, 3, Lampingstraße, Mitte, Bielefeld, Regierungsbezirk Detmold, Nordrhein-Westfalen, 33615, Deutschland",52.02804210,8.51148270,edu, f6328f02ab64c992d76967dbfd1a66d325173723,Mel- and Mellin-cepstral Feature Extraction Algorithms for Face Recognition,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, +f672bf42dbefb6b40921c00a05f60284934e9948,LDS-Inspired Residual Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +f672bf42dbefb6b40921c00a05f60284934e9948,LDS-Inspired Residual Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f678f31e7bb5eda34098b0fed608cfad5e372509,Discriminative Kernel Feature Extraction and Learning for Object Recognition and Detection,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, f68263a6f541429a8645ca2f4b0658cdbbd66638,Setting a world record in 3 D Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +f6551620737ea608da36842929681fee811239db,Object Tracking via Partial Least Squares Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociates continuous from categorical representations of facial expression in the human brain.,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +f6f06be05981689b94809130e251f9e4bf932660,An Approach to Illumination and Expression Invariant Multiple Classifier Face Recognition,India,India,India,20.59368400,78.96288000,edu, +f6f06be05981689b94809130e251f9e4bf932660,An Approach to Illumination and Expression Invariant Multiple Classifier Face Recognition,India,India,India,20.59368400,78.96288000,edu, +f6f06be05981689b94809130e251f9e4bf932660,An Approach to Illumination and Expression Invariant Multiple Classifier Face Recognition,India,India,India,20.59368400,78.96288000,edu, 7d953309fd93d86fe93c392dcb60d1dec3de797f,Scene Parsing Using Scene Attributes As Global Features,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 7d941dbab0bb645af81781bd3867ebde11c3641d,Handwritten Hangul recognition using deep convolutional neural networks,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 7dcaf1ef07a593a987f3b529c2ad1e977c0c7196,Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -11728,6 +14460,9 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate 7db5404feaa08e3e53bbf4fea7d89bcf509cfdbd,An Enhanced Default Approach Bias Following Human Amygdala Lesions,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 7db5404feaa08e3e53bbf4fea7d89bcf509cfdbd,An Enhanced Default Approach Bias Following Human Amygdala Lesions,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 7d1ac241fb603a4237cb681dbcf163a9f89e906a,Supplementary Material : Switching Convolutional Neural Network for Crowd Counting,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +7d1ac241fb603a4237cb681dbcf163a9f89e906a,Supplementary Material : Switching Convolutional Neural Network for Crowd Counting,India,India,India,20.59368400,78.96288000,edu, +7d9fe410f24142d2057695ee1d6015fb1d347d4a,Facial Expression Feature Extraction Based on FastLBP,China,China,China,35.86166000,104.19539700,edu, +7d9fe410f24142d2057695ee1d6015fb1d347d4a,Facial Expression Feature Extraction Based on FastLBP,China,China,China,35.86166000,104.19539700,edu, 7d520f474f2fc59422d910b980f8485716ce0a3e,Designing Convolutional Neural Networks for Urban Scene Understanding,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 7d520f474f2fc59422d910b980f8485716ce0a3e,Designing Convolutional Neural Networks for Urban Scene Understanding,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 7d94fd5b0ca25dd23b2e36a2efee93244648a27b,Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, @@ -11740,14 +14475,19 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate 7d7ab791ae3cfa72b4feacf1e09a4493c1a5a87c,Individualness and Determinantal Point Processes for Pedestrian Detection,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 7d621ec871a03a01f5aa65253e9ae6c8aadaf798,Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 7d621ec871a03a01f5aa65253e9ae6c8aadaf798,Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +7d621ec871a03a01f5aa65253e9ae6c8aadaf798,Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades,India,India,India,20.59368400,78.96288000,edu, 7dfa46c90d2293de3e353db84917fdee405f2a72,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 7dfa46c90d2293de3e353db84917fdee405f2a72,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +7dfa46c90d2293de3e353db84917fdee405f2a72,GazeDirector: Fully Articulated Eye Gaze Redirection in Video,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 7d53678ef6009a68009d62cd07c020706a2deac3,Facial feature point extraction using the adaptive mean shape in active shape model,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, 7dacb063f783df07f89934c962c3e170acb166cc,Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering,Hangzhou Dianzi University,Hangzhou Dianzi University,"杭州电子科技大学, 2号大街, 白杨街道, 江干区 (Jianggan), 杭州市 Hangzhou, 浙江省, 310018, 中国",30.31255250,120.34309460,edu, 7dacb063f783df07f89934c962c3e170acb166cc,Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, 7dacb063f783df07f89934c962c3e170acb166cc,Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 7d1688ce0b48096e05a66ead80e9270260cb8082,Real vs. Fake Emotion Challenge: Learning to Rank Authenticity from Facial Activity Descriptors,Otto von Guericke University,Otto von Guericke University,"Otto-von-Guericke-Universität Magdeburg, 2, Universitätsplatz, Krökentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland",52.14005065,11.64471248,edu, 7ddb2e298acbe29ccaea131e8a6475d451eb90ad,A Deep-Learning-Based Fashion Attributes Detection Model,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +7d6539d637f919fa20a9261e03aedcf59f92598e,Improving Cross-Resolution Face Matching Using Ensemble-Based Co-Transfer Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf,Hierarchical Gaussian Descriptors with Application to Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf,Hierarchical Gaussian Descriptors with Application to Person Re-Identification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 7d7b564aba3161231c789169cafec38342a18ea7,Forecasting user attention during everyday mobile interactions using device-integrated and wearable sensors,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 7d7b564aba3161231c789169cafec38342a18ea7,Forecasting user attention during everyday mobile interactions using device-integrated and wearable sensors,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, 7d7b564aba3161231c789169cafec38342a18ea7,Forecasting user attention during everyday mobile interactions using device-integrated and wearable sensors,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, @@ -11761,6 +14501,7 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate 7de1d7b30ea40ee64e1053c5bbdc5142674683eb,A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20,Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20,Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20,Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification,China,China,China,35.86166000,104.19539700,edu, 7d7be6172fc2884e1da22d1e96d5899a29831ad2,L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction,South China University of China,South China University of China,"华工站, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.04900470,113.39715710,edu, 7d7be6172fc2884e1da22d1e96d5899a29831ad2,L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction,South China University of China,South China University of China,"华工站, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.04900470,113.39715710,edu, 7d7be6172fc2884e1da22d1e96d5899a29831ad2,L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction,Education University of Hong Kong,The Education University of Hong Kong,"香港教育大學 The Education University of Hong Kong, 露屏路 Lo Ping Road, 鳳園 Fung Yuen, 下坑 Ha Hang, 新界 New Territories, HK, DD5 1119, 中国",22.46935655,114.19474194,edu, @@ -11768,7 +14509,10 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate 7dbdaada9efe96b304e8594ff610559958d5661b,Reflectance Intensity Assisted Automatic and Accurate Extrinsic Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, 2d4b9fe3854ccce24040074c461d0c516c46baf4,Temporal Action Localization by Structured Maximal Sums,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 2d4b9fe3854ccce24040074c461d0c516c46baf4,Temporal Action Localization by Structured Maximal Sums,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +2d294c58b2afb529b26c49d3c92293431f5f98d0,Maximum Margin Projection Subspace Learning for Visual Data Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2d23fa205acca9c21e3e1a04674f1e5a9528550e,The Fast and the Flexible: Extended Pseudo Two-Dimensional Warping for Face Recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, +2d8f08dbb012621504753a4df493b785ad22ef0f,Face Recognition Techniques for Authentication in Smart Devices-Comparative Study,India,India,India,20.59368400,78.96288000,edu, +2d4d463b1bf1c26afafea7b98ad8f7f06b5b1a4c,Improving Image Captioning with Conditional Generative Adversarial Nets,China,China,China,35.86166000,104.19539700,edu, 2d02cf53bc0f2d919b89bec8f9160b50916bb625,Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 2d1e009a7b7a6304903ba183e39395c358f652e8,ResearchDoom and CocoDoom: Learning Computer Vision with Games,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 2d1e009a7b7a6304903ba183e39395c358f652e8,ResearchDoom and CocoDoom: Learning Computer Vision with Games,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -11781,10 +14525,12 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate 2d4215a73e4cabc12a8ea5f49a3661d741add0c4,Unsupervised Detection of Regions of Interest Using Iterative Link Analysis,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 2d38fd1df95f5025e2cee5bc439ba92b369a93df,Scalable Object-Class Search via Sparse Retrieval Models and Approximate Ranking,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, 2d990b04c2bd61d3b7b922b8eed33aeeeb7b9359,Discriminative Dictionary Learning with Pairwise Constraints,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +2dd853b617c176810e3dda008f7cacea6473f0ae,Image captioning using deep neural architectures,India,India,India,20.59368400,78.96288000,edu, 2d3c17ced03e4b6c4b014490fe3d40c62d02e914,Video-driven state-aware facial animation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 2d48557e4107d93126e7f7b74fb04517697f6a52,Self-Training Ensemble Networks for Zero-Shot Image Recognition,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 2d48557e4107d93126e7f7b74fb04517697f6a52,Self-Training Ensemble Networks for Zero-Shot Image Recognition,Carleton University,Carleton University,"Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada",45.38608430,-75.69539267,edu, 2dd46b83a1cf5c7c811a462728d9797c270c2cb4,Recurrent Human Pose Estimation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +2dbb4b45b6a392268ce45d16fb944a652d434bd2,Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning,China,China,China,35.86166000,104.19539700,edu, 2d68cac1bd2f18631051cfbd4a46b67be1a939fe,PSSDL: Probabilistic Semi-supervised Dictionary Learning,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, 2d164f88a579ba53e06b601d39959aaaae9016b7,Dynamic Facial Expression Recognition Using A Bayesian Temporal Manifold Model,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 2dd2c7602d7f4a0b78494ac23ee1e28ff489be88,Large scale metric learning from equivalence constraints,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, @@ -11793,6 +14539,7 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate 2dced31a14401d465cd115902bf8f508d79de076,Can a Humanoid Face be Expressive? A Psychophysiological Investigation,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu, 2dced31a14401d465cd115902bf8f508d79de076,Can a Humanoid Face be Expressive? A Psychophysiological Investigation,Qatar University,Qatar University,"Qatar University, Roindabout 3, Al Tarfa (68), أم صلال, 24685, ‏قطر‎",25.37461295,51.48980354,edu, 2dced31a14401d465cd115902bf8f508d79de076,Can a Humanoid Face be Expressive? A Psychophysiological Investigation,University of Pisa,University of Pisa,"Dipartimento di Fisica 'E. Fermi', 3, Largo Bruno Pontecorvo, San Francesco, Pisa, PI, TOS, 56127, Italia",43.72012990,10.40789760,edu, +2dced31a14401d465cd115902bf8f508d79de076,Can a Humanoid Face be Expressive? A Psychophysiological Investigation,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 2da0f99ae90ea3e6ccbd3f43e52dbf5aa1553363,To Track or To Detect? An Ensemble Framework for Optimal Selection,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 2def47989c6f9143184b5eaaf3aca3f2833f3e05,Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 2d3482dcff69c7417c7b933f22de606a0e8e42d4,Labeled Faces in the Wild : Updates and New Reporting Procedures,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, @@ -11811,9 +14558,10 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate 2d294bde112b892068636f3a48300b3c033d98da,Deep Multi-Center Learning for Face Alignment,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 2d294bde112b892068636f3a48300b3c033d98da,Deep Multi-Center Learning for Face Alignment,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, 2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, -2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, -2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +2d00f7b9591718134b9cb095ced36b7c9babc439,Contextual Memory Trees,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 2d93a9aa8bed51d0d1b940c73ac32c046ebf1eb8,Perceptual Reward Functions,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 2d93a9aa8bed51d0d1b940c73ac32c046ebf1eb8,Perceptual Reward Functions,Waseda University,Waseda University,"早稲田大学 北九州キャンパス, 2-2, 有毛引野線, 八幡西区, 北九州市, 福岡県, 九州地方, 808-0135, 日本",33.88987280,130.70856205,edu, 2df5e2adf01a803405341af1943651f6d8658bce,Taking mobile multi-object tracking to the next level,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, @@ -11826,6 +14574,7 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate 2dd5f1d69e0e8a95a10f3f07f2c0c7fa172994b3,20 Machine Analysis of Facial Expressions,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 2d8001ffee6584b3f4d951d230dc00a06e8219f8,Feature Agglomeration Networks for Single Stage Face Detection,Singapore Management University,Singapore Management University,"Singapore Management University, Fort Canning Tunnel, Clarke Quay, City Hall, Singapore, Central, 178895, Singapore",1.29500195,103.84909214,edu, 2d8001ffee6584b3f4d951d230dc00a06e8219f8,Feature Agglomeration Networks for Single Stage Face Detection,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +2d8001ffee6584b3f4d951d230dc00a06e8219f8,Feature Agglomeration Networks for Single Stage Face Detection,China,China,China,35.86166000,104.19539700,edu, 2d83ba2d43306e3c0587ef16f327d59bf4888dc3,Large-Scale Video Classification with Convolutional Neural Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 2dfe0e7e81f65716b09c590652a4dd8452c10294,Incongruence Between Observers’ and Observed Facial Muscle Activation Reduces Recognition of Emotional Facial Expressions From Video Stimuli,University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, 2dfe0e7e81f65716b09c590652a4dd8452c10294,Incongruence Between Observers’ and Observed Facial Muscle Activation Reduces Recognition of Emotional Facial Expressions From Video Stimuli,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, @@ -11835,32 +14584,42 @@ f69a289a3bc6b61c612ba6ff4033f122100daccb,Morphing between expressions dissociate 2dbde64ca75e7986a0fa6181b6940263bcd70684,Pose Independent Face Recognition by Localizing Local Binary Patterns via Deformation Components,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 2d105eea4f594519bd337298c55b9af3da178293,Deep Randomized Ensembles for Metric Learning,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 2d31ab536b3c8a05de0d24e0257ca4433d5a7c75,Materials discovery: Fine-grained classification of X-ray scattering images,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, +2d8ffa4a27b3e3b792b2d2516bbcb1a47c114846,Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2d8a84a8e661ce3913cb6c05b18984b14ed11dac,P3: toward privacy-preserving photo sharing,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 2dbff0b15221234e00bec4a00b4897c631904fcf,Learning Efficient Image Representation for Person Re-Identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 2d7aa6af536a703471c56cc94bfd99471963b305,Learning to Separate Object Sounds by Watching Unlabeled Video,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 2d2b1f9446e9b4cdb46327cda32a8d9621944e29,Information revelation and privacy in online social networks,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 2d0363a3ebda56d91d704d5ff5458a527775b609,Attribute2Image: Conditional Image Generation from Visual Attributes,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 2d748f8ee023a5b1fbd50294d176981ded4ad4ee,Triplet Similarity Embedding for Face Verification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +2dc62458979dfc00ec195258ea8809077c5de442,Robust Painting Recognition and Registration for Mobile Augmented Reality,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2d13971cf59761b76fa5fc08e96f4e56c0c2d6dc,Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 2deed841cfde51ce3b4e90880894efbbfdc18f18,Privacy-Preserving Egocentric Activity Recognition from Extreme Low Resolution.,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 2deed841cfde51ce3b4e90880894efbbfdc18f18,Privacy-Preserving Egocentric Activity Recognition from Extreme Low Resolution.,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +2deed841cfde51ce3b4e90880894efbbfdc18f18,Privacy-Preserving Egocentric Activity Recognition from Extreme Low Resolution.,Xi’an Jiaotong-Liverpool University,"Xi’an Jiaotong-Liverpool University, Jiangsu, China","Wuzhong, Suzhou, China, 215123",31.27482200,120.73809400,edu, 2d79d338c114ece1d97cde1aa06ab4cf17d38254,iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 2d79d338c114ece1d97cde1aa06ab4cf17d38254,iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, ec8ec2dfd73cf3667f33595fef84c95c42125945,Pose-Invariant Face Alignment with a Single CNN,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +ec2ee72168368537ddb0eaac50f9e8c1b1d52a8c,Classification and Representation via Separable Subspaces: Performance Limits and Algorithms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ec2ee72168368537ddb0eaac50f9e8c1b1d52a8c,Classification and Representation via Separable Subspaces: Performance Limits and Algorithms,Wayne State University,Wayne State University,"Parking Structure 3, East Warren Avenue, New Center, Detroit, Wayne County, Michigan, 48236, USA",42.35775700,-83.06286711,edu, ecd473cfbce5f058a3c9388b220b21de1ece8eb8,Trajectory Shape Analysis and Anomaly Detection Utilizing Information Theory Tools,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, +eca9b9dd665556423278b85f79e1d589009a7ea7,Person Re-Identi fi cation by Robust Canonical Correlation Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ec949cb716fb33cb9273fc90f36b0351056ef0e0,An Abnormal Crowd Behavior Detection Algorithm Based on Fluid Mechanics,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +ec949cb716fb33cb9273fc90f36b0351056ef0e0,An Abnormal Crowd Behavior Detection Algorithm Based on Fluid Mechanics,China,China,China,35.86166000,104.19539700,edu, +ec949cb716fb33cb9273fc90f36b0351056ef0e0,An Abnormal Crowd Behavior Detection Algorithm Based on Fluid Mechanics,China,China,China,35.86166000,104.19539700,edu, ec949cb716fb33cb9273fc90f36b0351056ef0e0,An Abnormal Crowd Behavior Detection Algorithm Based on Fluid Mechanics,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, +ec443db55db1a6721387b2054b94f6df020994ae,Weakly Supervised Visual Dictionary Learning by Harnessing Image Attributes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, ec05078be14a11157ac0e1c6b430ac886124589b,Longitudinal Face Aging in the Wild - Recent Deep Learning Approaches,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, +ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b,Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset,China,China,China,35.86166000,104.19539700,edu, ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b,Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b,Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, ec85c3f57594afa77a8b0e516035550ef6f79db4,Support Neighbor Loss for Person Re-Identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, ec85c3f57594afa77a8b0e516035550ef6f79db4,Support Neighbor Loss for Person Re-Identification,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, ece80165040e9d8304c5dd808a6cdb29c8ecbf5b,Looking at People Using Partial Least Squares,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, ece80165040e9d8304c5dd808a6cdb29c8ecbf5b,Looking at People Using Partial Least Squares,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, +ec8eed7fd8549abb269d95a12d1ac1f2898ea2fb,Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ec5f89e822d9fcbc7b7422dc401478fc29f9c02d,Those Virtual People all Look the Same to me: Computer-Rendered Faces Elicit a Higher False Alarm Rate Than Real Human Faces in a Recognition Memory Task,Maastricht University,Maastricht University,"UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland",50.83367120,5.71589000,edu, ec5f89e822d9fcbc7b7422dc401478fc29f9c02d,Those Virtual People all Look the Same to me: Computer-Rendered Faces Elicit a Higher False Alarm Rate Than Real Human Faces in a Recognition Memory Task,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, ec792ad2433b6579f2566c932ee414111e194537,Person Transfer GAN to Bridge Domain Gap for Person Re-Identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, @@ -11869,16 +14628,19 @@ ec83c63e28ae2a658bc76a6750e078c3a54b9760,Deep Descriptor Transforming for Image ec83c63e28ae2a658bc76a6750e078c3a54b9760,Deep Descriptor Transforming for Image Co-Localization,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, ec0177cfdee435c6522ca4ee8a5f97ac0412472e,Reconstruction of images from Gabor graphs with applications in facial image processing,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, ec0177cfdee435c6522ca4ee8a5f97ac0412472e,Reconstruction of images from Gabor graphs with applications in facial image processing,Ruhr-University Bochum,Ruhr-University Bochum,"RUB, 150, Universitätsstraße, Ruhr-Universität, Querenburg, Bochum-Süd, Bochum, Regierungsbezirk Arnsberg, Nordrhein-Westfalen, 44801, Deutschland",51.44415765,7.26096541,edu, -ece390deb6576dbc1fdf132f182a1cc75eb67832,Interleaved Group Convolutions for Deep Neural Networks,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +ece390deb6576dbc1fdf132f182a1cc75eb67832,Interleaved Group Convolutions for Deep Neural Networks,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, ece390deb6576dbc1fdf132f182a1cc75eb67832,Interleaved Group Convolutions for Deep Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, ec488139105565477bb8a3c6cb3c874c35fcb2b6,Generative Adversarial Talking Head: Bringing Portraits to Life with a Weakly Supervised Neural Network,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, ec3472acc24fe5ef9eb07a31697f2cd446c8facc,"PixelNet: Representation of the pixels, by the pixels, and for the pixels",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, ec9f036195ccfdac51b6daf241c45ce7010d0d78,"Towards Open Ended Learning : Budgets , Model Selection , and Representation",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, ecc2ea05877d720b725fb89bc3b0586a51cabdc7,Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +ec2a887e02237e0b221b721eedac14254ec681cf,Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ec645bbc34d3ed264516df8b1add4d0cd6c35631,An improved Bayesian face recognition algorithm in PCA subspace,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +ec3621e900cc50afd067584bb1246a8b4e338fa8,Structured Triplet Learning with POS-Tag Guided Attention for Visual Question Answering,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 372fefe66aa693e271ec6298fac1695208f36aee,Face deidentification with generative deep neural networks,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 372fefe66aa693e271ec6298fac1695208f36aee,Face deidentification with generative deep neural networks,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 372fefe66aa693e271ec6298fac1695208f36aee,Face deidentification with generative deep neural networks,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, +37b6d6577541ed991435eaf899a2f82fdd72c790,Vision-based Human Gender Recognition: A Survey,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu, 378b6d94bacffb0fcc1063476a7b9694e877ba12,Scalable Hardware Efficient Deep Spatio-Temporal Inference Networks,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, 37bb9b45c6385789b819573b3716fe56a9e627db,Location Augmentation for CNN,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 370b6b83c7512419188f5373a962dd3175a56a9b,Face Alignment Refinement via Exploiting Low-Rank property and Temporal Stability,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu, @@ -11888,23 +14650,34 @@ ec645bbc34d3ed264516df8b1add4d0cd6c35631,An improved Bayesian face recognition a 370b6b83c7512419188f5373a962dd3175a56a9b,Face Alignment Refinement via Exploiting Low-Rank property and Temporal Stability,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu, 378ae5ca649f023003021f5a63e393da3a4e47f0,Multi-class object localization by combining local contextual interactions,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 37b3637dab65b91a5c91bb6a583e69c448823cc1,Learning a Hierarchical Latent-Variable Model of 3D Shapes,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +37b3637dab65b91a5c91bb6a583e69c448823cc1,Learning a Hierarchical Latent-Variable Model of 3D Shapes,Pennsylvania State University,Pennsylvania State University,,,,edu, +37b3637dab65b91a5c91bb6a583e69c448823cc1,Learning a Hierarchical Latent-Variable Model of 3D Shapes,Pennsylvania State University,Pennsylvania State University,,,,edu, 37ce1d3a6415d6fc1760964e2a04174c24208173,Pose-Invariant 3D Face Alignment,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +37a23e76674e606ce779131d2c93496e8a53bb2f,The discrete cosine transform ( DCT ) plus local normalization : a novel two-stage method for de-illumination in face recognition,China,China,China,35.86166000,104.19539700,edu, 37a4199e63312f7901af853998951883e52ab062,Future Localization from an Egocentric Depth Image,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 37ef18d71c1ca71c0a33fc625ef439391926bfbb,Extraction of Subject-Specific Facial Expression Categories and Generation of Facial Expression Feature Space using Self-Mapping,Akita Prefectural University,Akita Prefectural University,"秋田県立大学, 秋田天王線, 潟上市, 秋田県, 東北地方, 011-0946, 日本",39.80114990,140.04591160,edu, 37ef18d71c1ca71c0a33fc625ef439391926bfbb,Extraction of Subject-Specific Facial Expression Categories and Generation of Facial Expression Feature Space using Self-Mapping,Akita University,Akita University,"秋田大学手形キャンパス, 秋田八郎潟線, 手形字扇田, 広面, 秋田市, 秋田県, 東北地方, 010-0864, 日本",39.72781420,140.13322566,edu, 377f2b65e6a9300448bdccf678cde59449ecd337,Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results,Johns Hopkins University,"Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA","3400 N Charles St, Baltimore, MD 21218, USA",39.32905300,-76.61942500,edu, 377f2b65e6a9300448bdccf678cde59449ecd337,Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 37007af698b990a3ea8592b11d264b14d39c843f,DCMSVM: Distributed parallel training for single-machine multiclass classifiers,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, +37eb666b7eb225ffdafc6f318639bea7f0ba9a24,"Age , Gender and Race Estimation from Unconstrained Face Images",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 372688ad240474724683703e65a02f30e8d293ff,Putting the Scientist in the Loop -- Accelerating Scientific Progress with Interactive Machine Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 372688ad240474724683703e65a02f30e8d293ff,Putting the Scientist in the Loop -- Accelerating Scientific Progress with Interactive Machine Learning,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 372688ad240474724683703e65a02f30e8d293ff,Putting the Scientist in the Loop -- Accelerating Scientific Progress with Interactive Machine Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 37bda16c9f204c98d4c57a6be00cee3db520643d,Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 37bda16c9f204c98d4c57a6be00cee3db520643d,Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 379aaada226a3629408dbb223c7a7252dcc425b8,Naturalistic Pain Synthesis for Virtual Patients,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +3748a828dabc6b5292b53cec6080cef33d78d3e3,On Clustering and Embedding Manifolds using a Low Rank Neighborhood Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3737961f634876f59d4ffd5bbd198bf38b2cfdda,Study the Behavior of Autistic Patients and Analysis of Amygdala Region of Brain to Explore Autism,Jahangirnagar University,Jahangirnagar University,"Jahangirnagar University, 1342, University Main Road, সাভার, সাভার উপজেলা, ঢাকা জেলা, ঢাকা বিভাগ, 1342, বাংলাদেশ",23.88331200,90.26939210,edu, +375e478acf62eede1cc69693c54d81aa718df9e7,DFT domain Feature Extraction using Edge-based Scale Normalization for Enhanced Face Recognition,India,India,India,20.59368400,78.96288000,edu, +375e478acf62eede1cc69693c54d81aa718df9e7,DFT domain Feature Extraction using Edge-based Scale Normalization for Enhanced Face Recognition,India,India,India,20.59368400,78.96288000,edu, +370e0d9b89518a6b317a9f54f18d5398895a7046,Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +370e0d9b89518a6b317a9f54f18d5398895a7046,Cross-pollination of normalisation techniques from speaker to face authentication using Gaussian mixture models,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 37619564574856c6184005830deda4310d3ca580,A deep pyramid Deformable Part Model for face detection,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 37b44827e806adbb579cb566cdd4e5913d3d0f74,Part-level Car Parsing and Reconstruction from Single Street View,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +37b44827e806adbb579cb566cdd4e5913d3d0f74,Part-level Car Parsing and Reconstruction from Single Street View,China,China,China,35.86166000,104.19539700,edu, 37b44827e806adbb579cb566cdd4e5913d3d0f74,Part-level Car Parsing and Reconstruction from Single Street View,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +37b44827e806adbb579cb566cdd4e5913d3d0f74,Part-level Car Parsing and Reconstruction from Single Street View,China,China,China,35.86166000,104.19539700,edu, 3714a415e63204e9c331b919cff6a14f7121c902,IMPROVING 3D FACE RECOGNITION MODEL GENERATION AND BIOMETRICS,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 37aa876f5202d1db6919f0a0dd5a0f76508c02fb,Occlusion-Aware Hand Pose Estimation Using Hierarchical Mixture Density Network,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 37f8449e776c9b8e3c121704590d24663001b3dd,Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, @@ -11916,6 +14689,8 @@ ec645bbc34d3ed264516df8b1add4d0cd6c35631,An improved Bayesian face recognition a 371f40f6d32ece05cc879b6954db408b3d4edaf3,Mining semantic affordances of visual object categories,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 37ba12271d09d219dd1a8283bc0b4659faf3a6c6,Domain transfer for person re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 374a0df2aa63b26737ee89b6c7df01e59b4d8531,Temporal Action Localization with Pyramid of Score Distribution Features,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +3762bde6d3f21e8abc549d70709984c36b6bf3b6,Domain Adaptation for Pedestrian Detection Based on Prediction Consistency,China,China,China,35.86166000,104.19539700,edu, +3762bde6d3f21e8abc549d70709984c36b6bf3b6,Domain Adaptation for Pedestrian Detection Based on Prediction Consistency,China,China,China,35.86166000,104.19539700,edu, 3759b4fa10eabe047ff417b3076458b44132dc8b,Person-of-interest detection system using cloud-supported computerized-eyewear,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 37f8e2749308294b31f0c222f703ef65af6e0e2b,Learning Uncertain Convolutional Features for Accurate Saliency Detection,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 37313658b217202298127dd704c8c1b5c15473ef,Semi-supervised learning and recognition of object classes,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -11932,9 +14707,14 @@ ec645bbc34d3ed264516df8b1add4d0cd6c35631,An improved Bayesian face recognition a 37832573b77b87f6ea0e6ecb52a8b3e6c4e05728,VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, 37af037923d0d7a4480a9c1f2e7d002f122bfebb,Recent Progress of Face Image Synthesis,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 37586efdc0d56b1179aee3059bc18c84483e3bb9,Deep semantic ranking based hashing for multi-label image retrieval,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +37b0357d2db89bc4560d4201c3c2478988c87640,Face Recognition Based on Curvelet Transform and LS-SVM,China,China,China,35.86166000,104.19539700,edu, 37a5f93048cbfb74d122455531b4bc4f6e15d48f,Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +37a5f93048cbfb74d122455531b4bc4f6e15d48f,Statistic Experience Based Adaptive One-Shot Detector (EAO) for Camera Sensing System,China,China,China,35.86166000,104.19539700,edu, f984a5ad2d379b4e4b51005a73cdbd978ce3d810,ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +f93606d362fcbe62550d0bf1b3edeb7be684b000,Nearest Neighbor Classifier Based on Nearest Feature Decisions,India,India,India,20.59368400,78.96288000,edu, +f93606d362fcbe62550d0bf1b3edeb7be684b000,Nearest Neighbor Classifier Based on Nearest Feature Decisions,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, f9717a0056ad863c5f9dc00916ab87bdf1cdf5f7,Pose Flow: Efficient Online Pose Tracking,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +f9717a0056ad863c5f9dc00916ab87bdf1cdf5f7,Pose Flow: Efficient Online Pose Tracking,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, f989a20fbcc2d576c0c4514a0e5085c741580778,Co-localization with Category-Consistent Features and Geodesic Distance Propagation,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, f989a20fbcc2d576c0c4514a0e5085c741580778,Co-localization with Category-Consistent Features and Geodesic Distance Propagation,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, f989a20fbcc2d576c0c4514a0e5085c741580778,Co-localization with Category-Consistent Features and Geodesic Distance Propagation,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, @@ -11946,6 +14726,8 @@ f9e388544ae371cdd1d73b2e444cb46d9532f530,Image Quality Assessment Guided Deep Ne f9e388544ae371cdd1d73b2e444cb46d9532f530,Image Quality Assessment Guided Deep Neural Networks Training,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, f9e388544ae371cdd1d73b2e444cb46d9532f530,Image Quality Assessment Guided Deep Neural Networks Training,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, f9988dda860bde31ca0309c08355638c759e7281,Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +f9988dda860bde31ca0309c08355638c759e7281,Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images,China,China,China,35.86166000,104.19539700,edu, +f9988dda860bde31ca0309c08355638c759e7281,Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images,China,China,China,35.86166000,104.19539700,edu, f9988dda860bde31ca0309c08355638c759e7281,Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images,University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu, f9c563ec6c8238aaf420327bd7f9d8fbf8de3bce,An Evaluation on Color Invariant Based Local Spatiotemporal Features for Action Recognition,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, f97342323ec16d67fcdd8969e5312e43d4a6edf8,Physical Models of Human Motion for Estimation and Scene Analysis,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, @@ -11955,8 +14737,10 @@ f95d53ff893305741d60e234772003ec8579828b,A 3D Morphable Model of the Eye Region, f91388f87e10674226f4def4cda411adc01da496,Failure to Affect Decision Criteria During Recognition Memory With Continuous Theta Burst Stimulation,University of Wollongong,University of Wollongong,"University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia",-34.40505545,150.87834655,edu, f91ac398724dd122c2fa165ec1cb779005f9f829,\pi Match: Monocular vSLAM and Piecewise Planar Reconstruction Using Fast Plane Correspondences,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu, f9cf3bbca1598a0309c1395c5a46f17f774f4094,Convex Class Model on Symmetric Positive Definite Manifolds,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +f921e6f5085f1ebbd8289081e499240a89bf6c43,Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f92ade569cbe54344ffd3bb25efd366dcd8ad659,Effect of Super Resolution on High Dimensional Features for Unsupervised Face Recognition in the Wild,University of Bridgeport,University of Bridgeport,"University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA",41.16648580,-73.19205640,edu, f963967e52a5fd97fa3ebd679fd098c3cb70340e,"Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling",Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, +f9129b3858c14b5f6cca1fcbf31c4816d94a5038,A Robust 3D-2D Interactive Tool for Scene Segmentation and Annotation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f9b90d3c1e2c3d0f3d9a94e6a0aea5e3047bca78,Analysis of photometric factors based on photometric linearization.,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, f9b90d3c1e2c3d0f3d9a94e6a0aea5e3047bca78,Analysis of photometric factors based on photometric linearization.,Okayama University,Okayama University,"岡山大学, 津高法界院停車場線, 津島東2, 津島東, 北区, 岡山市, 岡山県, 中国地方, 700-0081, 日本",34.68933930,133.92222720,edu, f9034d80a0c318a8c564ce3aa9d8545d871b9663,Facial Expression Recognition with Inconsistently Annotated Datasets,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -11966,6 +14750,8 @@ f909d04c809013b930bafca12c0f9a8192df9d92,Single image subspace for face recognit f94f79168c1cfaebb8eab5151e01d56478ab0b73,Optimizing Region Selection for Weakly Supervised Object Detection,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, f9570079f33ab11394175d57db0aa94251c48c61,Compositional GAN: Learning Conditional Image Composition,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, f9b8539d48d6350435ab5550fd47451e779d2466,Accelerating image recognition on mobile devices using GPGPU,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +f9b8539d48d6350435ab5550fd47451e779d2466,Accelerating image recognition on mobile devices using GPGPU,Finland,Finland,Finland,61.92411000,25.74815110,edu, +f9b8539d48d6350435ab5550fd47451e779d2466,Accelerating image recognition on mobile devices using GPGPU,Finland,Finland,Finland,61.92411000,25.74815110,edu, f90b97008d921004487d1232ad20dcd9d678435f,Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, f90b97008d921004487d1232ad20dcd9d678435f,Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, f90b97008d921004487d1232ad20dcd9d678435f,Toward Marker-Free 3D Pose Estimation in Lifting: A Deep Multi-View Solution,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, @@ -11984,20 +14770,32 @@ f9e3bef2ffec5bd1e62003a3f1d8f735265b4d2f,ReDMark: Framework for Residual Diffusi f94f366ce14555cf0d5d34248f9467c18241c3ee,Deep Convolutional Neural Network in Deformable Part Models for Face Detection,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu, f9a1132c777b24e9361b1bcbccb9fcfc737f3194,VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, f9a1132c777b24e9361b1bcbccb9fcfc737f3194,VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +f9a1132c777b24e9361b1bcbccb9fcfc737f3194,VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video,China,China,China,35.86166000,104.19539700,edu, +f9a1132c777b24e9361b1bcbccb9fcfc737f3194,VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video,China,China,China,35.86166000,104.19539700,edu, f900538a682788fce19bd90277e9355db406e38b,Multiple Object Tracking Based on Faster-RCNN Detector and KCF Tracker,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, f9f01af981f8d25f0c96ea06d88be62dabb79256,Terahertz Image Detection with the Improved Faster Region-Based Convolutional Neural Network,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, f9d171019bfeb71733fe36f7fae14f342ca9e51c,Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, +f8a2a6b821a092ac43acd4e7366fe7c1e9285317,Attribute-controlled face photo synthesis from simple line drawing,China,China,China,35.86166000,104.19539700,edu, +f8c94afd478821681a1565d463fc305337b02779,Design and Implementation of Robust Face Recognition System for Uncontrolled Pose and Illumination Changes,India,India,India,20.59368400,78.96288000,edu, +f8c94afd478821681a1565d463fc305337b02779,Design and Implementation of Robust Face Recognition System for Uncontrolled Pose and Illumination Changes,India,India,India,20.59368400,78.96288000,edu, f83e563288e5d7a54444bbcf28a28a37b72a0644,Fused DNN: A Deep Neural Network Fusion Approach to Fast and Robust Pedestrian Detection,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, f8599ad5332cdf2c9919988ba300bb4b438b5834,Transitive Invariance for Self-Supervised Visual Representation Learning,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, f831f81f34a9c9dde41c5250b1a9dadf8ec8963b,Video Object Segmentation with Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, f831f81f34a9c9dde41c5250b1a9dadf8ec8963b,Video Object Segmentation with Re-identification,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, f831f81f34a9c9dde41c5250b1a9dadf8ec8963b,Video Object Segmentation with Re-identification,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" +f8edb37ecc8e30392250af248c402fa3a118f8c7,Moving Pedestrian Detection Using Normed Proposals and Key Points Matching,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, f8edb37ecc8e30392250af248c402fa3a118f8c7,Moving Pedestrian Detection Using Normed Proposals and Key Points Matching,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, f8edb37ecc8e30392250af248c402fa3a118f8c7,Moving Pedestrian Detection Using Normed Proposals and Key Points Matching,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, +f8b37756c5d8b3af3bf78a2f3dae293725074965,CBVR for Face Based Digital Signatures,India,India,India,20.59368400,78.96288000,edu, +f8b37756c5d8b3af3bf78a2f3dae293725074965,CBVR for Face Based Digital Signatures,India,India,India,20.59368400,78.96288000,edu, f8809a55945c283d249f4c4adb5d74e452cdfaa0,Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +f8cfabecbe587c611de2696a37f96e3f77ac8555,NEMGAN: Noise Engineered Mode-matching GAN,India,India,India,20.59368400,78.96288000,edu, f8daab1e4f63051b78eb43e98ab723f6c425a6b5,Speaker Naming in Movies,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +f8f2d2910ce8b81cb4bbf84239f9229888158b34,A Generative Model for Recognizing Mixed Group Activities in Still Images,China,China,China,35.86166000,104.19539700,edu, f8f2d2910ce8b81cb4bbf84239f9229888158b34,A Generative Model for Recognizing Mixed Group Activities in Still Images,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, f89e5b1f61b221c7b00db55b64239a28f8ba9fe0,Ensemble Learning-Based Person Re-identification with Multiple Feature Representations,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, +f89e5b1f61b221c7b00db55b64239a28f8ba9fe0,Ensemble Learning-Based Person Re-identification with Multiple Feature Representations,China,China,China,35.86166000,104.19539700,edu, +f89e5b1f61b221c7b00db55b64239a28f8ba9fe0,Ensemble Learning-Based Person Re-identification with Multiple Feature Representations,China,China,China,35.86166000,104.19539700,edu, f89e5b1f61b221c7b00db55b64239a28f8ba9fe0,Ensemble Learning-Based Person Re-identification with Multiple Feature Representations,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, f8b5ff1f9e5e07ae5ad3138236a079f7fb3ef95e,Discovering dynamic visemes,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, f8a083e405a8205278135442e21311b43ab56027,Smombie Guardian: We watch for potential obstacles while you are walking and conducting smartphone activities,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu, @@ -12006,9 +14804,12 @@ f8015e31d1421f6aee5e17fc3907070b8e0a5e59,Towards Usable Multimedia Event Detecti f8bebca34cc787dd2652deb182cf66d346d06094,Local response context applied to pedestrian detection,University of Campinas,University of Campinas,"USJ, 97, Rua Sílvia Maria Fabro, Kobrasol, Campinas, São José, Microrregião de Florianópolis, Mesorregião da Grande Florianópolis, SC, Região Sul, 88102-130, Brasil",-27.59539950,-48.61542180,edu, f8bebca34cc787dd2652deb182cf66d346d06094,Local response context applied to pedestrian detection,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, f832fdf1fac092b4140bf81d38e6bc6af5c1ea65,Instance-Level Human Parsing via Part Grouping Network,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +f842b13bd494be1bbc1161dc6df244340b28a47f,An Improved Face Recognition Technique Based on Modular Multi-directional Two-dimensional Principle Component Analysis Approach,China,China,China,35.86166000,104.19539700,edu, +f842b13bd494be1bbc1161dc6df244340b28a47f,An Improved Face Recognition Technique Based on Modular Multi-directional Two-dimensional Principle Component Analysis Approach,China,China,China,35.86166000,104.19539700,edu, f8f374e6ae12511589ddb8d31d775a62c558cfea,Multi-Class Object Classification and Lo- cation of Thermal Imagery in Electric Substation,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, f8f374e6ae12511589ddb8d31d775a62c558cfea,Multi-Class Object Classification and Lo- cation of Thermal Imagery in Electric Substation,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu, f867cd63fa18da1c52061ba22954ee9d138906dd,Creating Body Shapes From Verbal Descriptions by Linking Similarity Spaces.,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, +f867cd63fa18da1c52061ba22954ee9d138906dd,Creating Body Shapes From Verbal Descriptions by Linking Similarity Spaces.,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, f83875c58014df78618e0d4ccd8e6fb48276dc04,ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, f8ddb2cac276812c25021b5b79bf720e97063b1e,A Comprehensive Empirical Study on Linear Subspace Methods for Facial Expression Analysis,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, f88a0f44ff7ec5fe0facf0facac0a094c7bd6cb8,Augmenting Image Question Answering Dataset by Exploiting Image Captions,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, @@ -12018,6 +14819,11 @@ f89edc5a4d938bf6df0a780163b872b9edeef5d8,Unified Cortical Surface Morphometry an f8e64dd25c3174dff87385db56abc48101b69009,Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, f8b61a8783ee8f10b5a62b484107b3d2bfd059a6,Deep attention-based classification network for robust depth prediction,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, f8b61a8783ee8f10b5a62b484107b3d2bfd059a6,Deep attention-based classification network for robust depth prediction,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, +f8ddeb23343cde8e2a9fdd87e877f0ce5461b42b,Illumination and Pose Invariant Face Recognition : A Technical Review,India,India,India,20.59368400,78.96288000,edu, +f8ddeb23343cde8e2a9fdd87e877f0ce5461b42b,Illumination and Pose Invariant Face Recognition : A Technical Review,India,India,India,20.59368400,78.96288000,edu, +f8ddeb23343cde8e2a9fdd87e877f0ce5461b42b,Illumination and Pose Invariant Face Recognition : A Technical Review,India,India,India,20.59368400,78.96288000,edu, +f8beb25e944004d283e1b347e3473089da244335,Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +f8beb25e944004d283e1b347e3473089da244335,Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, f8beb25e944004d283e1b347e3473089da244335,Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, f8beb25e944004d283e1b347e3473089da244335,Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, f8beb25e944004d283e1b347e3473089da244335,Diminished Medial Prefrontal Activity behind Autistic Social Judgments of Incongruent Information,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, @@ -12028,6 +14834,7 @@ e33b5e91eb12ee3d7a5d134669994cbde6673df9,Automatic learning of British Sign Lang e3e98557ece5247661d849dc2d168f7498209e59,Learning Feature Hierarchies for Object Recognition,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, e3c8e49ffa7beceffca3f7f276c27ae6d29b35db,Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, e3c8e49ffa7beceffca3f7f276c27ae6d29b35db,Families in the Wild (FIW): Large-Scale Kinship Image Database and Benchmarks,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, +e3582dffe5f3466cc5bc9d736934306c551ab33c,AttGAN: Facial Attribute Editing by Only Changing What You Want,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, e351beaa000aa5875d00fef12eb14e1cb91530bf,Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, e351beaa000aa5875d00fef12eb14e1cb91530bf,Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, e351beaa000aa5875d00fef12eb14e1cb91530bf,Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, @@ -12057,19 +14864,25 @@ e3bb83684817c7815f5005561a85c23942b1f46b,Face Verification using Correlation Fil e3bb83684817c7815f5005561a85c23942b1f46b,Face Verification using Correlation Filters,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, e38c7d4f8a4399f402ab6bb364ec662fe897bed1,"PReMVOS: Proposal-generation, Refinement and Merging for Video Object Segmentation",RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, e3fae8109ff2f91ebfa1bced01452a3998c40ade,Kernel-Based Nonparametric Fisher Classifier for Hyperspectral Remote Sensing Imagery,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +e3fae8109ff2f91ebfa1bced01452a3998c40ade,Kernel-Based Nonparametric Fisher Classifier for Hyperspectral Remote Sensing Imagery,China,China,China,35.86166000,104.19539700,edu, e37c8e2823cc3429caca4420f19adf329c62d313,Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images,University of South Carolina,University of South Carolina,"University of South Carolina, Wheat Street, Columbia, Richland County, South Carolina, 29205, USA",33.99282980,-81.02685168,edu, +e37c8e2823cc3429caca4420f19adf329c62d313,Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images,China,China,China,35.86166000,104.19539700,edu, +e3f0c5a51d6c5085fbcb64d872d7db438da27474,Ubiquitously Supervised Subspace Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +e3b40ffd57a676aef377ef463849fd6b9a3d3b5d,Morphable hundred-core heterogeneous architecture for energy-aware computation,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, e35f4238bbc6c4acf4fce9591fa5cebf64fd0c2e,2017 / 2018 Mini-Project Creating Spaces that Understand People Employing Sensor Technologies to Inform the Design and Operation of Human-centred Spaces,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, e35f4238bbc6c4acf4fce9591fa5cebf64fd0c2e,2017 / 2018 Mini-Project Creating Spaces that Understand People Employing Sensor Technologies to Inform the Design and Operation of Human-centred Spaces,Maastricht University,Maastricht University,"UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland",50.83367120,5.71589000,edu, e3c433ab9608d7329f944552ba1721e277a42d74,Transferring Rich Feature Hierarchies for Robust Visual Tracking,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, e3c433ab9608d7329f944552ba1721e277a42d74,Transferring Rich Feature Hierarchies for Robust Visual Tracking,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, e344cfff1ec2a46e230983157ef34efba5d65340,What makes an Image Iconic? A Fine-Grained Case Study.,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, e3faabdc800d2400f072eb5b48e9ad6dc94d7625,Locally Linear Embedded Eigenspace Analysis,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +e31f24b92a19aeb9a7611a9ca09223c8f5238ae1,Expression Empowered ResiDen Network for Facial Action Unit Detection,India,India,India,20.59368400,78.96288000,edu, e3f0e0dbc8e14e3dfb8fe9f9ecf6dab2c4713823,Human Action Recognition Based on Oriented Motion Salient Regions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, e3f0e0dbc8e14e3dfb8fe9f9ecf6dab2c4713823,Human Action Recognition Based on Oriented Motion Salient Regions,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, e38592062592691c073c8e72052c02f5fe1fde7d,N IM as a Brain for a Humanoid Robot,Maastricht University,Maastricht University,"UNS60, Professor Ten Hoorlaan, Randwyck, Maastricht, Limburg, Nederland, 6229EV, Nederland",50.83367120,5.71589000,edu, e3a7fca5f94d85814b600e870b90259eefedaf6e,Composable Unpaired Image to Image Translation,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, e3a7fca5f94d85814b600e870b90259eefedaf6e,Composable Unpaired Image to Image Translation,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, e392816ec3e0b131bbab06431ac85b14afa7d656,A Simple and Efficient Supervised Method for Spatially Weighted PCA in Face Image Analysis,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +e3f6108163b64ca4aa94d9be77c753b377fcda87,USING COMPETITIVE PROTOTYPES FOR THE VERIFICATION ON UNSPECIFIC PERSON,China,China,China,35.86166000,104.19539700,edu, e3b20cf421812dc96477a2074d0bb1ee83e6c98b,Mapping Urban Tree Species Using Very High Resolution Satellite Imagery: Comparing Pixel-Based and Object-Based Approaches,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, e34aa1164def0063dd5e45107592313110adc9dd,Car-to-Pedestrian Communication Safety System Based on the Vehicular Ad-Hoc Network Environment: A Systematic Review,Jiangsu University,Jiangsu University,"江苏大学, 301, 学府路, 京口区, 象山街道, 京口区 (Jingkou), 镇江市 / Zhenjiang, 江苏省, 212013, 中国",32.20302965,119.50968362,edu, e3cc5d86b2032d01c1b40de0da3b7f4458c9c0ee,Globally Consistent Multi-People Tracking using Motion Patterns,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, @@ -12081,46 +14894,60 @@ e328d19027297ac796aae2470e438fe0bd334449,Automatic Micro-expression Recognition e328d19027297ac796aae2470e438fe0bd334449,Automatic Micro-expression Recognition from Long Video Using a Single Spotted Apex,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, e3e2c106ccbd668fb9fca851498c662add257036,"Appearance, context and co-occurrence ensembles for identity recognition in personal photo collections",University of Colorado at Colorado Springs,University of Colorado at Colorado Springs,"1420 Austin Bluffs Pkwy, Colorado Springs, CO 80918, USA",38.89646790,-104.80505940,edu, e3e36ccd836458d51676789fb133b092d42dac16,Deep learning prototype domains for person re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +e30b14ad7341a596768bd67f854d1ed4ede2abc8,A Principal Component Analysis Method for Recognition of Human Faces : Eigenfaces Approach,India,India,India,20.59368400,78.96288000,edu, +e30b14ad7341a596768bd67f854d1ed4ede2abc8,A Principal Component Analysis Method for Recognition of Human Faces : Eigenfaces Approach,India,India,India,20.59368400,78.96288000,edu, 322a7dad274f440a92548faa8f2b2be666b2d01f,Pyramid Scene Parsing Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 322a7dad274f440a92548faa8f2b2be666b2d01f,Pyramid Scene Parsing Network,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 328bc4d5495723f9a1037660b5d9c1176713bf24,Unimpaired Attentional Disengagement and Social Orienting in Children With Autism,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 32799cee51933ac4e1999358bad64817985826d7,Player Experience Extraction from Gameplay Video,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +320e2c950d5b31cb371208a6b752a94585ac6665,Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 325723a7fa69f9976feeab5ba9abd3c11e3f7c80,Beyond Textures: Learning from Multi-domain Artistic Images for Arbitrary Style Transfer,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 32d8e555441c47fc27249940991f80502cb70bd5,Machine Learning Models that Remember Too Much,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 324608bf8fecc064bc491da21291465ab42fa6b6,Matching-CNN meets KNN: Quasi-parametric human parsing,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 3213390558a08e35222eec6fb028c8cfaa0c80c2,Non-sparse linear representations for visual tracking with online reservoir metric learning,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 32c7e4f6d7848676922705484a00c94dac803af9,Learning Articulated Object Models from Language and Vision,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 324c91551c3cde44bbcb9d97bc14db7ca6d31850,"Infancy and autism: progress, prospects, and challenges.",University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +321d1f8d13075275b207dd048e9b655aa8846d57,Thermal Tracking of Sports Players,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 321d1f8d13075275b207dd048e9b655aa8846d57,Thermal Tracking of Sports Players,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 32c9ebd2685f522821eddfc19c7c91fd6b3caf22,Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 32c9ebd2685f522821eddfc19c7c91fd6b3caf22,Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu, 322eff0dbf5d7dc18688be29ad5fd7eb8c8d6d54,SLTP: A Fast Descriptor for People Detection in Depth Images,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 322eff0dbf5d7dc18688be29ad5fd7eb8c8d6d54,SLTP: A Fast Descriptor for People Detection in Depth Images,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +32420c65f8ef0c5bd83b14c8ae662cbce73e6781,Face Recognition with Local Binary Patterns,Finland,Finland,Finland,61.92411000,25.74815110,edu, 32c801cb7fbeb742edfd94cccfca4934baec71da,Multi-source Multi-scale Counting in Extremely Dense Crowd Images,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 32c801cb7fbeb742edfd94cccfca4934baec71da,Multi-source Multi-scale Counting in Extremely Dense Crowd Images,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 3233e80170115db43d0fe6663c84a9bda03f2d6b,Similarity Reasoning over Semantic Context–graphs,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 32b7b671c786aa74f7d8f9817b12b3a59c0b84c2,A Bayesian Model of Grounded Color Semantics,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 32b7b671c786aa74f7d8f9817b12b3a59c0b84c2,A Bayesian Model of Grounded Color Semantics,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 32a40c43a9bc1f1c1ed10be3b9f10609d7e0cb6b,Lighting Aware Preprocessing for Face Recognition across Varying Illumination,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +32a40c43a9bc1f1c1ed10be3b9f10609d7e0cb6b,Lighting Aware Preprocessing for Face Recognition across Varying Illumination,China,China,China,35.86166000,104.19539700,edu, 32a40c43a9bc1f1c1ed10be3b9f10609d7e0cb6b,Lighting Aware Preprocessing for Face Recognition across Varying Illumination,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 3283477ebd49488e1f3c78e6e828678ea2bb815b,Cauchy Principal Component Analysis,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 329d58e8fb30f1bf09acb2f556c9c2f3e768b15c,Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 329d58e8fb30f1bf09acb2f556c9c2f3e768b15c,Leveraging Intra and Inter-Dataset Variations for Robust Face Alignment,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +32732095eae3a33614cd6cef2a82e6189f5a28a9,Locally linear representation for subspace learning and clustering,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 32c20afb5c91ed7cdbafb76408c3a62b38dd9160,Viewing Real-World Faces in 3D,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu, +3214ce1c8c86c0c4670e3f8b8f4351d8fa44434d,Deep Semantic Pyramids for Human Attributes and Action Recognition,Finland,Finland,Finland,61.92411000,25.74815110,edu, 32812f35efab1fc5bdbcc17d67f27bba31c720c6,Dropout during inference as a model for neurological degeneration in an image captioning network,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +32ac4e5a8dee203c0b99e15484893fd9d62de43a,Hallucinating Faces: Global Linear Modal Based Super-Resolution and Position Based Residue Compensation,China,China,China,35.86166000,104.19539700,edu, 32ac4e5a8dee203c0b99e15484893fd9d62de43a,Hallucinating Faces: Global Linear Modal Based Super-Resolution and Position Based Residue Compensation,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 321dc2958e7874a3896e7df96213cd808d3b2b27,Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 321dc2958e7874a3896e7df96213cd808d3b2b27,Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, -321dc2958e7874a3896e7df96213cd808d3b2b27,Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +321dc2958e7874a3896e7df96213cd808d3b2b27,Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 32ecbbd76fdce249f9109594eee2d52a1cafdfc7,Object Specific Deep Learning Feature and Its Application to Face Detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 32ecbbd76fdce249f9109594eee2d52a1cafdfc7,Object Specific Deep Learning Feature and Its Application to Face Detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, 32ecbbd76fdce249f9109594eee2d52a1cafdfc7,Object Specific Deep Learning Feature and Its Application to Face Detection,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 32ecbbd76fdce249f9109594eee2d52a1cafdfc7,Object Specific Deep Learning Feature and Its Application to Face Detection,University of Nottingham,University of Nottingham,"University of Nottingham, Lenton Abbey, Wollaton, City of Nottingham, East Midlands, England, UK",52.93874280,-1.20029569,edu, +3264df8917ad5e39e9a7f33bbfbce25ac7473a9b,JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely,India,India,India,20.59368400,78.96288000,edu, +3264df8917ad5e39e9a7f33bbfbce25ac7473a9b,JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely,India,India,India,20.59368400,78.96288000,edu, +3264df8917ad5e39e9a7f33bbfbce25ac7473a9b,JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely,India,India,India,20.59368400,78.96288000,edu, +3264df8917ad5e39e9a7f33bbfbce25ac7473a9b,JOURNA Robust and Efficient Approach Based Face Recognition System Using Log Likely,India,India,India,20.59368400,78.96288000,edu, 329394480fc5e9e96de4250cc1a2b060c3677c94,Improved Dense Trajectory with Cross Streams,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 329394480fc5e9e96de4250cc1a2b060c3677c94,Improved Dense Trajectory with Cross Streams,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 329394480fc5e9e96de4250cc1a2b060c3677c94,Improved Dense Trajectory with Cross Streams,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 328bfd1d0229bc4973277f893abd1eb288159fc9,A review of the literature on the aging adult skull and face: implications for forensic science research and applications.,University of North Carolina at Wilmington,University of North Carolina at Wilmington,"University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA",34.22498270,-77.86907744,edu, 328bfd1d0229bc4973277f893abd1eb288159fc9,A review of the literature on the aging adult skull and face: implications for forensic science research and applications.,University of North Carolina at Wilmington,University of North Carolina at Wilmington,"University of North Carolina at Wilmington, Price Drive, University Suites, Wilmington, New Hanover County, North Carolina, 28403, USA",34.22498270,-77.86907744,edu, +324f39fb5673ec2296d90142cf9a909e595d82cf,Relationship Matrix Nonnegative Decomposition for Clustering,China,China,China,35.86166000,104.19539700,edu, 32c45df9e11e6751bcea1b928f398f6c134d22c6,Towards Unified Object Detection and Semantic Segmentation,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, 323f9ae6bdd2a4e4dce4168f7f7e19c70585c9b5,Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, 325d145af5f38943e469da6369ab26883a3fd69e,Colorful Image Colorization,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, @@ -12137,6 +14964,7 @@ e3e36ccd836458d51676789fb133b092d42dac16,Deep learning prototype domains for per 326b9c8391e89f5bd032aebd1b65e925083c269b,Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 326b9c8391e89f5bd032aebd1b65e925083c269b,Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 326b9c8391e89f5bd032aebd1b65e925083c269b,Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +329c06c00c627c0b041d330f3c0142a88b7cb1e5,Bayesian Sparsification of Gated Recurrent Neural Networks,Russia,Russia,Russia,61.52401000,105.31875600,edu, 32f37cbc7806c37e8b618d935800bdcd6e7108cc,RHYTHMIC GAIT SIGNATURES FROM VIDEO WITHOUT MOTION CAPTURE,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, 32f37cbc7806c37e8b618d935800bdcd6e7108cc,RHYTHMIC GAIT SIGNATURES FROM VIDEO WITHOUT MOTION CAPTURE,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, 32eeba2ff1ef4259de7802c8ee8cecb6d6c581a3,Isometric Projection,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, @@ -12149,6 +14977,7 @@ e3e36ccd836458d51676789fb133b092d42dac16,Deep learning prototype domains for per 320fa825e86f3b74ba3b3ebaef14e1186784f1ec,Exploit the Unknown Gradually : One-Shot Video-Based Person Re-Identification by Stepwise Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 320fa825e86f3b74ba3b3ebaef14e1186784f1ec,Exploit the Unknown Gradually : One-Shot Video-Based Person Re-Identification by Stepwise Learning,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 3210666306517c4ef9a4c1a4463c728b0e3aeb72,Angle Tree: Nearest Neighbor Search in High Dimensions with Low Intrinsic Dimensionality,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +32c6086b1605698c8b775b6920741981e85b217d,Wearable Computing Designing and Sharing Activity-Recognition Systems Across Platforms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 3239f9fb3c11cc29c65664254133beb339f13f40,Low-Resolution Vision for Autonomous Mobile Robots,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, 3240c9359061edf7a06bfeb7cc20c103a65904c2,PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, fb28c33b29763a53abe99cb7ee6c1a86bc32a27c,Learning to Interpret Satellite Images Using Wikipedia,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -12164,6 +14993,8 @@ fbfb0de017d57c5f282050dadb77797d97785ba5,Enabling EBGM Face Authentication on mo fb35a3dadbe6d9a1823eb12e33fccf9a3db3c2a2,Avoidant Responses to Interpersonal Provocation Are Associated with Increased Amygdala and Decreased Mentalizing Network Activity,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, fb87045600da73b07f0757f345a937b1c8097463,Reflective Regression of 2D-3D Face Shape Across Large Pose,University of Hong Kong,University of Hong Kong,"海洋科學研究所 The Swire Institute of Marine Science, 鶴咀道 Cape D'Aguilar Road, 鶴咀低電台 Cape D'Aguilar Low-Level Radio Station, 石澳 Shek O, 芽菜坑村 Nga Choy Hang Tsuen, 南區 Southern District, 香港島 Hong Kong Island, HK, 中国",22.20814690,114.25964115,edu, fbb6ee4f736519f7231830a8e337b263e91f06fe,Illumination Robust Facial Feature Detection via Decoupled Illumination and Texture Features,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +fbb2f81fc00ee0f257d4aa79bbef8cad5000ac59,Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +fbb2f81fc00ee0f257d4aa79bbef8cad5000ac59,Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, fbb37d4700fa54468a1b86d9e0d4fa77a0f53195,Fused HMM adaptation of synchronous HMMs for audio-visual speaker verification,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, fbd5c9bbfb43aa4734cde7863897600fd42eb8ff,Person Detection in the Restaurant of the Future,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, fb22404e46dd46b2c2cb9a85227a1ab6a8ae4f52,Micro-analytics for Student Performance Prediction Leveraging fine-grained learning analytics to predict performance,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, @@ -12171,6 +15002,8 @@ fba95853ca3135cc52a4b2bc67089041c2a9408c,Disguised Faces in the Wild,Indian Inst fba95853ca3135cc52a4b2bc67089041c2a9408c,Disguised Faces in the Wild,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, fb0062eadbaae53c0fb001d0add7ea8d0f7029cd,Presentation Attack Detection for Iris Recognition: An Assessment of the State-of-the-Art,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, fb0062eadbaae53c0fb001d0add7ea8d0f7029cd,Presentation Attack Detection for Iris Recognition: An Assessment of the State-of-the-Art,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +fbace36d9161fbd062eefa0c005362bb210c7097,VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, +fb732b15fd5235893228ad3249cf04e1809034c9,CBVMR: Content-Based Video-Music Retrieval Using Soft Intra-Modal Structure Constraint,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, fbdfed192ea0e6508d931b3d00335d99e976c0d7,From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, fbdfed192ea0e6508d931b3d00335d99e976c0d7,From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, fbdfed192ea0e6508d931b3d00335d99e976c0d7,From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, @@ -12196,8 +15029,14 @@ fb084b1fe52017b3898c871514cffcc2bdb40b73,Illumination Normalization of Face Imag fba539b41786f837acc5e5d876aaa7c6f3fc376c,Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition,University of Bridgeport,University of Bridgeport,"University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA",41.16648580,-73.19205640,edu, fba539b41786f837acc5e5d876aaa7c6f3fc376c,Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition,University of Bridgeport,University of Bridgeport,"University of Bridgeport, Park Avenue, Bridgeport Downtown South Historic District, Bridgeport, Fairfield County, Connecticut, 06825, USA",41.16648580,-73.19205640,edu, fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu, +fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu, fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu, fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu, +fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu, +fb193923274c9b028254075c3b6decdae70b2ec0,Learning Social Image Embedding with Deep Multimodal Attention Networks,China,China,China,35.86166000,104.19539700,edu, fb54d3c37dc82891ff9dc7dd8caf31de00c40d6a,Beauty and the Burst: Remote Identification of Encrypted Video Streams,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, fb54d3c37dc82891ff9dc7dd8caf31de00c40d6a,Beauty and the Burst: Remote Identification of Encrypted Video Streams,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the Effects of Cannabis on Emotion Processing.,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, @@ -12236,6 +15075,7 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 9fec253eb41438a9ab13bd5156a18c2c08ff610a,Yum-Me: A Personalized Nutrient-Based Meal Recommender System,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 9fec253eb41438a9ab13bd5156a18c2c08ff610a,Yum-Me: A Personalized Nutrient-Based Meal Recommender System,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 9fec253eb41438a9ab13bd5156a18c2c08ff610a,Yum-Me: A Personalized Nutrient-Based Meal Recommender System,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +9fec253eb41438a9ab13bd5156a18c2c08ff610a,Yum-Me: A Personalized Nutrient-Based Meal Recommender System,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 9f829eb41c2ecb850fe20329e7da06eb369151f9,Deep representation learning with target coding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 9f829eb41c2ecb850fe20329e7da06eb369151f9,Deep representation learning with target coding,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 9f829eb41c2ecb850fe20329e7da06eb369151f9,Deep representation learning with target coding,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -12263,6 +15103,8 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 9f2d7b7f5d983cfc02dc3b06dadddc4902afdd83,Semi-supervised learning for scalable and robust visual search,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 9f6ca02ade848368a5e762cc3cf55a881c082faa,Motion Feature Network: Fixed Motion Filter for Action Recognition,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 9fe55487c40983b1da71c073104cdc2d6f5cc7bf,"Hybrid human-machine vision systems: image annotation using crowds, experts and machines",California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +9fd5ecc538a9344814dc00b92beb45c54d5dff3e,NIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +9fd5ecc538a9344814dc00b92beb45c54d5dff3e,NIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9fa5d5b2cd6d625973d735e70d44824eb0118a33,Contour-Based Large Scale Image Retrieval,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 4ff11512e4fde3d1a109546d9c61a963d4391add,Selecting Vantage Points for an Autonomous Quadcopter Videographer,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 4f9fe0f537419520b1d598567ddda3650debf3f5,Fairness for Whom? Critically reframing fairness with Nash Welfare Product,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, @@ -12276,8 +15118,11 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 4ffe93dfb895c86ebad874c70113c4870c9bd5e3,Pose Machines: Articulated Pose Estimation via Inference Machines,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4f36755fd732684b977a041ee3b0acc3492e5b6e,Normalized Metadata Generation for Human Retrieval Using Multiple Video Surveillance Cameras,Chung-Ang University,Chung-Ang University,"중앙대학교, 서달로15길, 흑석동, 동작구, 서울특별시, 06981, 대한민국",37.50882000,126.96190000,edu, 4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7,Fashion Landmark Detection in the Wild,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +4fefd1bc8dc4e0ab37ee3324ddfa43ad9d6a04a7,Fashion Landmark Detection in the Wild,China,China,China,35.86166000,104.19539700,edu, +4f5e1e70f51b30e4606f991ed0e912c84af90251,Using maximum consistency context for multiple target association in wide area traffic scenes,China,China,China,35.86166000,104.19539700,edu, 4f5e1e70f51b30e4606f991ed0e912c84af90251,Using maximum consistency context for multiple target association in wide area traffic scenes,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a,Automatic Generation of Grounded Visual Questions,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, +4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a,Automatic Generation of Grounded Visual Questions,China,China,China,35.86166000,104.19539700,edu, 4f69ad0e52e37ba06db1c2b89c180f3ba331cc4a,Automatic Generation of Grounded Visual Questions,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, 4fc96ad5c9c0155961ace769f3a73b728854fa98,Three-Dimensional Face Recognition Using Surface Space Combinations,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 4f6e1fe403b13279cd4674615d6d07ce002c9dec,Is there a connection between face symmetry and face recognition?,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, @@ -12296,7 +15141,7 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 4f9beb035a3d196f653e8528303fdf9ded998e22,Can You See the (Linguistic) Difference? Exploring Mass/Count Distinction in Vision,University of Padova,University of Padova,"Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy",45.40811720,11.89437860,edu,"University of Padova, Via Gradenigo, 6 - 35131- Padova, Italy" 4f36c14d1453fc9d6481b09c5a09e91d8d9ee47a,Video-Based Face Recognition Using the Intra / Extra-Personal Difference Dictionary,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 4f36c14d1453fc9d6481b09c5a09e91d8d9ee47a,Video-Based Face Recognition Using the Intra / Extra-Personal Difference Dictionary,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, -4f90acbfe479bad10b1c733dc7e6a174fd4b2870,Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +4f90acbfe479bad10b1c733dc7e6a174fd4b2870,Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 4fa2b00f78b2a73b63ad014f3951ec902b8b24ae,Semi-supervised hashing for scalable image retrieval,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 4fa2b00f78b2a73b63ad014f3951ec902b8b24ae,Semi-supervised hashing for scalable image retrieval,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 4f9e00aaf2736b79e415f5e7c8dfebda3043a97d,"Machine Audition : Principles , Algorithms and Systems",University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, @@ -12304,10 +15149,13 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 4f09328793b907074adc8d4e10d2d763d7a4b513,NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, 4f6ab8af1b059e6130d5fd8c4e4adee4079ae2e6,Selective Search for Object Recognition,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 4fb9f05dc03eb4983d8f9a815745bb47970f1b93,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +4fb9f05dc03eb4983d8f9a815745bb47970f1b93,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 4fb9f05dc03eb4983d8f9a815745bb47970f1b93,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, 4fb9f05dc03eb4983d8f9a815745bb47970f1b93,"On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly",Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, +4fdbe95edb967bfc0b44f0fa291cd86b178fca2e,"Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation",Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 4ffd50725b9cdff4ab0f13c9182cf3fdb671e76c,Portable performance on Asymmetric Multicore Processors,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, -4ffd50725b9cdff4ab0f13c9182cf3fdb671e76c,Portable performance on Asymmetric Multicore Processors,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +4ffd50725b9cdff4ab0f13c9182cf3fdb671e76c,Portable performance on Asymmetric Multicore Processors,China,China,China,35.86166000,104.19539700,edu, +4ffd50725b9cdff4ab0f13c9182cf3fdb671e76c,Portable performance on Asymmetric Multicore Processors,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 4fcf1bfc2a8989412adb67c97ce1bee72a996fff,3D morphable model construction for robust ear and face recognition,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, 4f3656da4cbd1979a5fa763f90defa1f90d53583,CHAPTER 10 Audio-Visual Automatic Speech Recognition : An Overview,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, 4f3656da4cbd1979a5fa763f90defa1f90d53583,CHAPTER 10 Audio-Visual Automatic Speech Recognition : An Overview,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, @@ -12320,6 +15168,7 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 4f1a74cfa7c8383a5dea97cb48c197da5b4f5ee0,LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 4f1a74cfa7c8383a5dea97cb48c197da5b4f5ee0,LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images,University of North Carolina at Chapel Hill,University of North Carolina at Chapel Hill,"University of North Carolina at Chapel Hill, East Cameron Avenue, Chapel Hill, Orange County, North Carolina, 27514, USA",35.91139710,-79.05045290,edu, 4f1a74cfa7c8383a5dea97cb48c197da5b4f5ee0,LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, +4f1a74cfa7c8383a5dea97cb48c197da5b4f5ee0,LINKS: Learning-Based Multi-source IntegratioN FrameworK for Segmentation of Infant Brain Images,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 4f19d33e808a6675f11fb624499d303368deafa1,Learning Monocular Depth by Distilling Cross-Domain Stereo Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 4f0d9200647042e41dea71c35eb59e598e6018a7,Experiments of Image Retrieval Using Weak Attributes,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 4f71709f08a451fceaaeaf6b3c814d137c8941e1,Multiview Cross-supervision for Semantic Segmentation,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, @@ -12329,7 +15178,8 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 4f49ee1348f7731786a11ce2c32eb635de99be43,Hyperspectral Face Recognition using 3D-DCT and Partial Least Squares,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 4f0b8f730273e9f11b2bfad2415485414b96299f,BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 4f0b8f730273e9f11b2bfad2415485414b96299f,BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -4f922f6602f39baae94f63954005776e1da05671,Peer-Mediated Theatrical Engagement for Improving Reciprocal Social Interaction in Autism Spectrum Disorder,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +4f922f6602f39baae94f63954005776e1da05671,Peer-Mediated Theatrical Engagement for Improving Reciprocal Social Interaction in Autism Spectrum Disorder,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +4f922f6602f39baae94f63954005776e1da05671,Peer-Mediated Theatrical Engagement for Improving Reciprocal Social Interaction in Autism Spectrum Disorder,China,China,China,35.86166000,104.19539700,edu, 4f922f6602f39baae94f63954005776e1da05671,Peer-Mediated Theatrical Engagement for Improving Reciprocal Social Interaction in Autism Spectrum Disorder,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 4f81f0c0019862046710d70b6ea880f989949e9a,An Efficient Approach for Differentiating Alzheimer's Disease from Normal Elderly Based on Multicenter MRI Using Gray-Level Invariant Features,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, 4f81f0c0019862046710d70b6ea880f989949e9a,An Efficient Approach for Differentiating Alzheimer's Disease from Normal Elderly Based on Multicenter MRI Using Gray-Level Invariant Features,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, @@ -12344,15 +15194,20 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 9ed4ad41cbad645e7109e146ef6df73f774cd75d,RPM: Random Points Matching for Pair wise Face-Similarity,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 9ed4ad41cbad645e7109e146ef6df73f774cd75d,RPM: Random Points Matching for Pair wise Face-Similarity,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, 9e42d44c07fbd800f830b4e83d81bdb9d106ed6b,Learning Discriminative Aggregation Network for Video-Based Face Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +9e42d44c07fbd800f830b4e83d81bdb9d106ed6b,Learning Discriminative Aggregation Network for Video-Based Face Recognition,China,China,China,35.86166000,104.19539700,edu, +9e42d44c07fbd800f830b4e83d81bdb9d106ed6b,Learning Discriminative Aggregation Network for Video-Based Face Recognition,China,China,China,35.86166000,104.19539700,edu, 9ef9046cc26946acedda3f515d9149a76e19cd6e,A Unified Multi-Faceted Video Summarization System,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 9ec74521d03d41f4157a458513c79017dd066a38,Semantic Stixels fusing LIDAR for Scene Perception,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, 9e182e0cd9d70f876f1be7652c69373bcdf37fb4,Talking Face Generation by Adversarially Disentangled Audio-Visual Representation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 9e1c3c7f1dce662a877727a821bdf41c5cd906bb,Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions.,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 9ea223c070ec9a00f4cb5ca0de35d098eb9a8e32,Exploring Temporal Preservation Networks for Precise Temporal Action Localization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +9ea223c070ec9a00f4cb5ca0de35d098eb9a8e32,Exploring Temporal Preservation Networks for Precise Temporal Action Localization,China,China,China,35.86166000,104.19539700,edu, 9ed34ce4c6ca510a6027ae9eefc5dd0d9e0b876d,CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation,Stevens Institute of Technology,Stevens Institute of Technology,"Stevens Institute of Technology, River Terrace, Hoboken, Hudson County, New Jersey, 07030, USA",40.74225200,-74.02709490,edu, +9ef73533507b46278d0d27c41e16af2b8ecf23ef,A comparative assessment of appearance based feature extraction techniques and their susceptibility to image degradations in face recognition systems,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9e1b3cf334aead8d2c29747f6ee7d1291dd83708,Netizen-Style Commenting on Fashion Photos: Dataset and Diversity Measures,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 9eef5dd3e69f74049530cafd473b49db07e311ae,er s Amodal 3 D Box Estimation 3 D Instance SegmentationFrustum Proposal segmented object points ( m points ) k 2 d region proposal,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 9e5378e7b336c89735d3bb15cf67eff96f86d39a,Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +9e5378e7b336c89735d3bb15cf67eff96f86d39a,Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters,China,China,China,35.86166000,104.19539700,edu, 9e31e77f9543ab42474ba4e9330676e18c242e72,The Devil of Face Recognition is in the Noise,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 9e31e77f9543ab42474ba4e9330676e18c242e72,The Devil of Face Recognition is in the Noise,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 9ed943f143d2deaac2efc9cf414b3092ed482610,Independent Subspace of Dynamic Gabor Features for Facial Expression Classification,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu, @@ -12374,9 +15229,11 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 9e504d225a566fc57ff203f82cb1cb56b902a7f5,Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition,University of Texas at Dallas,University of Texas at Dallas,"University of Texas at Dallas, Richardson, Dallas County, Texas, 78080, USA",32.98207990,-96.75662780,edu, 9e504d225a566fc57ff203f82cb1cb56b902a7f5,Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition,Changzhou University,"Changzhou University, Changzhou, China","1 Gehu Middle Rd, Wujin Qu, Changzhou Shi, Jiangsu Sheng, China",31.68423700,119.95514100,edu, 9e504d225a566fc57ff203f82cb1cb56b902a7f5,Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +9e504d225a566fc57ff203f82cb1cb56b902a7f5,Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition,China,China,China,35.86166000,104.19539700,edu, 9e48808f283598edb5a78ec2590a35ff163cc8ed,Stochastic Segmentation Trees for Multiple Ground Truths,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 9ea337ffdf652803c805074d61b2d6a8d7040e95,PATTERN RECOGNITION USING COMPOSITE FEATURES,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 9e1c3b8b1653337094c1b9dba389e8533bc885b0,Demographic Classification with Local Binary Patterns,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +9e6ecc12794f1d3215f93376a32b350a0492ceb0,Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 9ebd150e340fd7e1f67cd50458e80508d6332c1b,Intelligent Pedestrian Detection u sing Optical Flow and HOG,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, 9eb891b89443bdfc8434e4c9e08dda0253fd242c,Evaluation of Probabilistic Occupancy Map for Player Tracking in Team Sports,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, 9e1a96e0fc5d8867e82e6262a8d9499b3ae806e5,Spoofing 2D face recognition systems with 3D masks,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, @@ -12384,19 +15241,26 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 9ea25c97f3dee29f7861ab4110ca90b4ec0af01b,Robust Out-of-Sample Data Recovery,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 9ea1623c3f8a744f70d75fa29b8b00bb5ed13f2a,Deep Kalman Filter: Simultaneous Multi-Sensor Integration and Modelling; A GNSS/IMU Case Study,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 9e965f37e6f59e210a3540a67d1ae8633a5f9b3e,A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, +9e965f37e6f59e210a3540a67d1ae8633a5f9b3e,A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net,China,China,China,35.86166000,104.19539700,edu, 9e965f37e6f59e210a3540a67d1ae8633a5f9b3e,A High Accuracy Pedestrian Detection System Combining a Cascade AdaBoost Detector and Random Vector Functional-Link Net,Chonbuk National University,Chonbuk National University,"전북대학교, 567, 백제대로, 금암동, 덕진구, 전주시, 전북, 54896, 대한민국",35.84658875,127.13501330,edu, 9ed7d774684a1770445c1c53e276011a8364b9e2,Uncovering Temporal Context for Video Question and Answering,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 9ed7d774684a1770445c1c53e276011a8364b9e2,Uncovering Temporal Context for Video Question and Answering,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 9e4cd22ab92adcd74014709167b6cbb97baa3d1c,BEAR MOUSE DOG TIGER Compatibility function : Classification model : Inference function : Objective function : Optimization TRAINING TESTING Seen Objects Seen Labels Unseen Objects Unseen Labels Feature Embedding Semantic Embedding Feature Extraction Semantic Extraction,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 765263556ce90c5c0d86d3e6d8a21e04a307b60d,Comparing Visual Feature Coding for Learning Disjoint Camera Dependencies,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, +769461ff717d987482b28b32b1e2a6e46570e3ff,MIC-TJU in MediaEval 2017 Emotional Impact of Movies Task.,China,China,China,35.86166000,104.19539700,edu, 769461ff717d987482b28b32b1e2a6e46570e3ff,MIC-TJU in MediaEval 2017 Emotional Impact of Movies Task.,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, 7643861bb492bf303b25d0306462f8fb7dc29878,Speeding up 2D-warping for pose-invariant face recognition,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 76e48cd3b4b25cdb6c094ff660ed8e43be1e2f34,What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +766728bac030b169fcbc2fbafe24c6e22a58ef3c,A survey of deep facial landmark detection,"Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France","Université de Lyon, CNRS, INSA Lyon, LIRIS, UMR5205, Lyon, France","7 Passage du Vercors, 69007 Lyon, France",45.72803070,4.82594290,edu, +765f01e10ef2df381ad8173d90763d218f4da9e1,A Novel Mechanism of Face Recognition Using Stepwise Linear Discriminant Analysis and Linear Vector Quantization Classifiers,India,India,India,20.59368400,78.96288000,edu, 7697c8a0eea8b4f7e9b5c3378879cf34ba6d79b3,On Decomposing an Unseen 3D Face into Neutral Face and Expression Deformations,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 76b227facbcd75cda35cb5bb8063d8d5cfcec4d0,Expression Recognition Using the Periocular Region: A Feasibility Study,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, 76b227facbcd75cda35cb5bb8063d8d5cfcec4d0,Expression Recognition Using the Periocular Region: A Feasibility Study,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, 76b6577f47d6782bf75aca04e361a7b7381b4a84,Measuring and Modifying the Intrinsic Memorability of Images,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, +765b2cb322646c52e20417c3b44b81f89860ff71,PoseShop: Human Image Database Construction and Personalized Content Synthesis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +765b2cb322646c52e20417c3b44b81f89860ff71,PoseShop: Human Image Database Construction and Personalized Content Synthesis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 769d1a0aff0cf7842c7861d30ce654a029d6b467,Descriptor learning based on fisher separation criterion for texture classification,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +769d1a0aff0cf7842c7861d30ce654a029d6b467,Descriptor learning based on fisher separation criterion for texture classification,China,China,China,35.86166000,104.19539700,edu, 76d955e83b1d64de95f37336322cbbca0019e3b2,Robust and Efficient Subspace Segmentation via Least Squares Regression,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 76d955e83b1d64de95f37336322cbbca0019e3b2,Robust and Efficient Subspace Segmentation via Least Squares Regression,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 76d955e83b1d64de95f37336322cbbca0019e3b2,Robust and Efficient Subspace Segmentation via Least Squares Regression,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, @@ -12404,6 +15268,7 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 765094fa3cd745bed29c20dad92dbed8c4cfebea,Applying Biometric Principles to Avatar Recognition,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, 765094fa3cd745bed29c20dad92dbed8c4cfebea,Applying Biometric Principles to Avatar Recognition,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu, 76616a2709c03ade176db31fa99c7c61970eba28,Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +76616a2709c03ade176db31fa99c7c61970eba28,Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image,China,China,China,35.86166000,104.19539700,edu, 76616a2709c03ade176db31fa99c7c61970eba28,Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 76616a2709c03ade176db31fa99c7c61970eba28,Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 76616a2709c03ade176db31fa99c7c61970eba28,Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, @@ -12413,6 +15278,7 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 7675774227157bec91218d6798680f58deaf8bb3,Learning View Priors for Single-view 3D Reconstruction.,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 76fd59062e563353097694d38855e94efbd53143,3D Face Reconstruction from Light Field Images: A Model-Free Approach,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 76fd59062e563353097694d38855e94efbd53143,3D Face Reconstruction from Light Field Images: A Model-Free Approach,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, +76673de6d81bedd6b6be68953858c5f1aa467e61,Discovering a Lexicon of Parts and Attributes,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 768c332650a44dee02f3d1d2be1debfa90a3946c,Bayesian face recognition using support vector machine and face clustering,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 76615d7bc69ef0e50338a8c3e59c75d361ef0db4,Learning a compact latent representation of the Bag-of-Parts model,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 76cd878c37bcdb8b3ae678e96c9b7700184ddb46,Athlete Pose Estimation from Monocular TV Sports Footage,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, @@ -12420,15 +15286,19 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 76cd878c37bcdb8b3ae678e96c9b7700184ddb46,Athlete Pose Estimation from Monocular TV Sports Footage,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 76b5ce50ab603a6d175fd21f4b1404dff3c897c2,Adult Image and Video Recognition by a Deep Multicontext Network and Fine-to-Coarse Strategy,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 76b5ce50ab603a6d175fd21f4b1404dff3c897c2,Adult Image and Video Recognition by a Deep Multicontext Network and Fine-to-Coarse Strategy,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +76b5ce50ab603a6d175fd21f4b1404dff3c897c2,Adult Image and Video Recognition by a Deep Multicontext Network and Fine-to-Coarse Strategy,China,China,China,35.86166000,104.19539700,edu, 760a8a46089ca9fc7d06ea44b207b948569237ba,Learning a Deep Embedding Model for Zero-Shot Learning,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 7605857f551d128e7c3babfc019950250f81bca9,Reciprocal Attention Fusion for Visual Question Answering,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +7605857f551d128e7c3babfc019950250f81bca9,Reciprocal Attention Fusion for Visual Question Answering,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 76d939f73a327bf1087d91daa6a7824681d76ea1,A Thermal Facial Emotion Database and Its Analysis,Japan Advanced Institute of Science and Technology,Japan Advanced Institute of Science and Technology,"JAIST (北陸先端科学技術大学院大学), 石川県道55号小松辰口線, Ishikawa Science Park, 能美市, 石川県, 中部地方, 923-1206, 日本",36.44429490,136.59285870,edu, 76f7664511917bb575081ad3555e383de54562f1,'Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 76f7664511917bb575081ad3555e383de54562f1,'Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 766039c203f76009c5efabe7b24914cc66fe117f,"""BAM!"" Depth-Based Body Analysis in Critical Care",Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 76ce3d35d9370f0e2e27cfd29ea0941f1462895f,Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, +76ce3d35d9370f0e2e27cfd29ea0941f1462895f,Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU,China,China,China,35.86166000,104.19539700,edu, 7673d5fa77770629d040fae54c214c60ba69574c,Moving Object Detection from Mobile Platforms Using Stereo Data Registration,University of the Basque Country,University of the Basque Country,"Euskal Herriko Unibertsitatea, Ibaeta Campusa, Paseo Arriola pasealekua, Ibaeta, Donostia/San Sebastián, Donostialdea, Gipuzkoa, Euskadi, 20008, España",43.30927695,-2.01066785,edu, 7688187b1ce5cbb1413d075f435ff294ba09cadc,Robust precise eye location by adaboost and SVM techniques,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, +7688187b1ce5cbb1413d075f435ff294ba09cadc,Robust precise eye location by adaboost and SVM techniques,China,China,China,35.86166000,104.19539700,edu, 76a2846d17521149a118fd54083f8a51646e2804,Context-aware Deep Feature Compression for High-speed Visual Tracking,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 76a2846d17521149a118fd54083f8a51646e2804,Context-aware Deep Feature Compression for High-speed Visual Tracking,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 76a2846d17521149a118fd54083f8a51646e2804,Context-aware Deep Feature Compression for High-speed Visual Tracking,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu, @@ -12452,14 +15322,26 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 065cd334cb3d7c102e420484bf052e93773dbd8a,Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 06a6976d9a3deac30b0a571d31f85c11ae4eb8ad,A Novel Human Detection Approach Based on Depth Map via Kinect,Curtin University,Curtin University,"Curtin University, Brand Drive, Waterford, Perth, Western Australia, 6102, Australia",-32.00686365,115.89691775,edu, 06a6976d9a3deac30b0a571d31f85c11ae4eb8ad,A Novel Human Detection Approach Based on Depth Map via Kinect,Shanghai University,Shanghai University,"上海大学, 锦秋路, 大场镇, 宝山区 (Baoshan), 上海市, 201906, 中国",31.32235655,121.38400941,edu, +06a6976d9a3deac30b0a571d31f85c11ae4eb8ad,A Novel Human Detection Approach Based on Depth Map via Kinect,China,China,China,35.86166000,104.19539700,edu, +06c333fc146d0a87f591c82a1f22925ccef378b1,Emotional Cues during Simultaneous Face and Voice Processing: Electrophysiological Insights,China,China,China,35.86166000,104.19539700,edu, +06c333fc146d0a87f591c82a1f22925ccef378b1,Emotional Cues during Simultaneous Face and Voice Processing: Electrophysiological Insights,China,China,China,35.86166000,104.19539700,edu, 06f8aa1f436a33014e9883153b93581eea8c5c70,Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 06325345f9ffef958d9d7c704b28e6cbb3021b8c,Price theory based power management for heterogeneous multi-cores,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 06b5aa440151a1c290d3840b6b533baec6b15439,Towards a Meaningful 3D Map Using a 3D Lidar and a Camera,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Finland,Finland,Finland,61.92411000,25.74815110,edu, +067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,University of Helsinki,"HIIT, University of Helsinki","Yliopistonkatu 4, 00100 Helsinki, Finland",60.17263480,24.95104190,edu, +067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Finland,Finland,Finland,61.92411000,25.74815110,edu, +067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,University of Helsinki,"HIIT, University of Helsinki","Yliopistonkatu 4, 00100 Helsinki, Finland",60.17263480,24.95104190,edu, +067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Finland,Finland,Finland,61.92411000,25.74815110,edu, +067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,University of Helsinki,"HIIT, University of Helsinki","Yliopistonkatu 4, 00100 Helsinki, Finland",60.17263480,24.95104190,edu, +067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Finland,Finland,Finland,61.92411000,25.74815110,edu, 067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,University of Tampere,University of Tampere,"Tampereen yliopisto, 4, Kalevantie, Ratinanranta, Tulli, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33100, Suomi",61.49412325,23.77920678,edu, 067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, 067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +067a40d9fe0942abfc8a31342a95f165a88ca5d6,Optimal Neighborhood Preserving Visualization by Maximum Satisfiability,Finland,Finland,Finland,61.92411000,25.74815110,edu, 063f78c20405158d87114a8aef1bb7557230bd89,An improved deep learning architecture for person re-identification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +064aaad2a9ac5044b333714e61955631faee87fd,Face Recognition using Radial Curves and Back Propagation Neural Network for frontal faces under various challenges,India,India,India,20.59368400,78.96288000,edu, 06d7ef72fae1be206070b9119fb6b61ce4699587,On One-Shot Similarity Kernels: Explicit Feature Maps and Properties,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 06d7ef72fae1be206070b9119fb6b61ce4699587,On One-Shot Similarity Kernels: Explicit Feature Maps and Properties,University of Patras,University of Patras,"Πανεπιστήμιο Πατρών, Λεωφ. Ιπποκράτους, κ. Ρίου (Αγίου Γεωργίου Ρίου), Πάτρα, Δήμος Πατρέων, Περιφερειακή Ενότητα Αχαΐας, Περιφέρεια Δυτικής Ελλάδας, Πελοπόννησος, Δυτική Ελλάδα και Ιόνιο, 26443, Ελλάδα",38.28994820,21.78864690,edu, 06d7ef72fae1be206070b9119fb6b61ce4699587,On One-Shot Similarity Kernels: Explicit Feature Maps and Properties,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu, @@ -12467,12 +15349,18 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 064cd41d323441209ce1484a9bba02a22b625088,Selective Transfer Machine for Personalized Facial Action Unit Detection,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 064cd41d323441209ce1484a9bba02a22b625088,Selective Transfer Machine for Personalized Facial Action Unit Detection,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 0657da204bbd5f1e92882b2ccdf4f883659ccd37,Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +06560d5721ecc487a4d70905a485e22c9542a522,Deep Facial Attribute Detection in the Wild: From General to Specific,China,China,China,35.86166000,104.19539700,edu, 062723093e77d942471a77f1a89614d05216a275,DAVE: A Unified Framework for Fast Vehicle Detection and Annotation,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, 06554235c2c9361a14c0569206b58a355a63f01b,Zero-Shot Learning Through Cross-Modal Transfer,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 062cea54e5d58ee41aea607cbf2ba0cf457aa4e7,The DIARETDB1 Diabetic Retinopathy Database and Evaluation Protocol,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, +062cea54e5d58ee41aea607cbf2ba0cf457aa4e7,The DIARETDB1 Diabetic Retinopathy Database and Evaluation Protocol,Finland,Finland,Finland,61.92411000,25.74815110,edu, +067e2b673e75a25c47cb0a5528dad41c02402251,Interactive Retrieval in Facial Image Database Using Self-Organizing Maps,Finland,Finland,Finland,61.92411000,25.74815110,edu, 06b6606e47e071bbe070093c78120207578126fd,Total Moving Face Reconstruction,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 06625b0c5747ccb8524fec9f44e4a8aa1ecc2151,Nuclear Norm Based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 06ca83cc7def5b0d582f4d933057c4370a6345d7,Training Object Class Detectors with Click Supervision,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +06aab105d55c88bd2baa058dc51fa54580746424,Image Set-Based Collaborative Representation for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +06aab105d55c88bd2baa058dc51fa54580746424,Image Set-Based Collaborative Representation for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +06a23ffbd9752ce204197df59812b2ebd1a097ff,Feedforward semantic segmentation with zoom-out features,Toyota Technological Institute at Chicago,Toyota Technological Institute at Chicago,"6045 S Kenwood Ave, Chicago, IL 60637, USA",41.78469820,-87.59258480,edu, 06cad81a163e345828c0804f42252177049dd1bc,Sequence to Sequence -- Video to Text,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 06cad81a163e345828c0804f42252177049dd1bc,Sequence to Sequence -- Video to Text,University of Massachusetts,University of Massachusetts,"University of Massachusetts, Hicks Way, Amherst, Hampshire, Massachusetts, 01003, USA",42.38897850,-72.52869870,edu, 06cad81a163e345828c0804f42252177049dd1bc,Sequence to Sequence -- Video to Text,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, @@ -12483,17 +15371,22 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 06850b60e33baa4ea9473811d58c0d5015da079e,A Survey of the Trends in Facial and Expression Recognition Databases and Methods,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 06850b60e33baa4ea9473811d58c0d5015da079e,A Survey of the Trends in Facial and Expression Recognition Databases and Methods,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 06ba3492e3a9a2e98df2c81b91ec94787e3f97fb,"VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions",University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, +06dfc1c6f62bffd5f8b8619d8c51db1ec4d25f3f,Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 06890d068a7fb82fa78443038ad26ca7623f7a98,Socially-Aware Large-Scale Crowd Forecasting,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 06890d068a7fb82fa78443038ad26ca7623f7a98,Socially-Aware Large-Scale Crowd Forecasting,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 06bad0cdda63e3fd054e7b334a5d8a46d8542817,Sharing features between objects and their attributes,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 06bad0cdda63e3fd054e7b334a5d8a46d8542817,Sharing features between objects and their attributes,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 06f2df0ec9ab6968411e34f581dd8f5d40500d7f,The fusiform face area: a cortical region specialized for the perception of faces.,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 06f2df0ec9ab6968411e34f581dd8f5d40500d7f,The fusiform face area: a cortical region specialized for the perception of faces.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, +06e9149b7ef8bff3a4b5a18fe01da9a522f91891,SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression With Local Structure Prior,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +06e9149b7ef8bff3a4b5a18fe01da9a522f91891,SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression With Local Structure Prior,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 062fe178edf6aadd98ad6c0ce20e68c8160d0824,An active search strategy for efficient object class detection,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 0687e472b5accce40299a6dd109c38e4167fea94,Learning Image Representations for Efficient Recognition of Novel Classes,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, 060ea3f72ee63d909600caad168cb26b4777b19e,Fusion of Likelihood Ratio Classifier with ICP-based Matcher for 3 D Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 061e29eae705f318eee703b9e17dc0989547ba0c,Enhancing Expression Recognition in the Wild with Unlabeled Reference Data,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +061e29eae705f318eee703b9e17dc0989547ba0c,Enhancing Expression Recognition in the Wild with Unlabeled Reference Data,China,China,China,35.86166000,104.19539700,edu, 0641dbee7202d07b6c78a39eecd312c17607412e,Null space clustering with applications to motion segmentation and face clustering,"Australian National University, Canberra","Australian National University, Canberra","Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia",-35.28121335,149.11665331,edu, +0641dbee7202d07b6c78a39eecd312c17607412e,Null space clustering with applications to motion segmentation and face clustering,"NICTA, Canberra","NICTA, Canberra","Canberra ACT 2601, Australia",-35.28093680,149.13000920,edu, 06c2dfe1568266ad99368fc75edf79585e29095f,Bayesian Active Appearance Models,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 061ffd3967540424ac4e4066f4a605d8318bab90,Dirichlet-Based Histogram Feature Transform for Image Classification,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, 0688c0568f3ab418719260d443cc0d86c3af2914,Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, @@ -12507,7 +15400,10 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 061bba574c7c2ef0ba9de91afc4fcab70feddd4f,Paying Attention to Descriptions Generated by Image Captioning Models,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, 061bba574c7c2ef0ba9de91afc4fcab70feddd4f,Paying Attention to Descriptions Generated by Image Captioning Models,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 06d656c53b17ad7c4ca6345d19cbca271d93ef02,SOCIAL AND EGOCENTRIC IMAGE CLASSIFICATION FOR SCIENTIFIC AND PRIVACY APPLICATIONS,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, +06d4379308d2716a866fc2ca583e4f2a33fa9f4c,WBMMSC: Supervised Classification Procedure of Textures Image Extraction,India,India,India,20.59368400,78.96288000,edu, +06d4379308d2716a866fc2ca583e4f2a33fa9f4c,WBMMSC: Supervised Classification Procedure of Textures Image Extraction,India,India,India,20.59368400,78.96288000,edu, 061c84a4143e859a7caf6e6d283dfb30c23ee56e,DEEP-CARVING: Discovering visual attributes by carving deep neural nets,Cambridge University,Cambridge University,"University, Cambridge Road, Old Portsmouth, Portsmouth, South East, England, PO1 2HB, UK",50.79440260,-1.09717480,edu, +061c84a4143e859a7caf6e6d283dfb30c23ee56e,DEEP-CARVING: Discovering visual attributes by carving deep neural nets,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 0691b9cd1b9b44bff297a62277be514ede9df01d,Inferring semantic concepts from community-contributed images and noisy tags,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 0691b9cd1b9b44bff297a62277be514ede9df01d,Inferring semantic concepts from community-contributed images and noisy tags,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 062d67af7677db086ef35186dc936b4511f155d7,They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, @@ -12515,12 +15411,14 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 0698eb3b6409b0e79fefdaf9a99759d1acb940f0,AVEID: Automatic Video System for Measuring Engagement In Dementia,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, 06cf3f55b2bd959d9228d29e1aa3e71ba7cece94,Features for image retrieval: an experimental comparison,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 06f585a3a05dd3371cd600a40dc35500e2f82f9b,Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +06f585a3a05dd3371cd600a40dc35500e2f82f9b,Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification,China,China,China,35.86166000,104.19539700,edu, 06c8fcb0429afd3aee153ba42e1fd8aa93f7214f,Social roles in hierarchical models for human activity recognition,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, +06c8fcb0429afd3aee153ba42e1fd8aa93f7214f,Social roles in hierarchical models for human activity recognition,Disney Research Pittsburgh,Disney Research Pittsburgh,"4720 Forbes Ave, Pittsburgh, PA 15213, USA",40.44397890,-79.94646340,edu, 06a9ed612c8da85cb0ebb17fbe87f5a137541603,Deep Learning of Player Trajectory Representations for Team Activity Analysis,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 06443cc014711e2e9cb6b8625362b022826d233e,Accident Forecasting in CCTV Traffic Camera Videos,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 06443cc014711e2e9cb6b8625362b022826d233e,Accident Forecasting in CCTV Traffic Camera Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 0670849811a6ba4fbfcbe11126b811dd94e06e66,Robust Metric and Alignment for Profile-Based Face Recognition: An Experimental Comparison,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, -06150e6e69a379c27e1d0100fcd7660f073cbacf,Local Decorrelation For Improved Pedestrian Detection,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +06150e6e69a379c27e1d0100fcd7660f073cbacf,Local Decorrelation For Improved Pedestrian Detection,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 0671a41b780be540ace68c2db654544508e29e49,"Like Father, Like Son: Facial Expression Dynamics for Kinship Verification",University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 0671a41b780be540ace68c2db654544508e29e49,"Like Father, Like Son: Facial Expression Dynamics for Kinship Verification",Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 0651ea8d9ca9890e8bcb32283c261483f89025ea,On the Reduction of Computational Complexity of Deep Convolutional Neural Networks,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, @@ -12530,10 +15428,12 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 0662baff581198245aa5bafed3109d03068e2be0,Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 06cb7c6601b7ee0d89cccd5311dcda9e5316e02d,A system for large-scale analysis of distributed cameras,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 06e2178d029b78801c004e512d923f7ce7f9e8eb,3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +4b0111182ace7443f060a64754ca23b2fc7e1d77,Face Recognition by Super-Resolved 3D Models From Consumer Depth Cameras,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4b3dd18882ff2738aa867b60febd2b35ab34dffc,FACIAL FEATURE ANALYSIS OF SPONTANEOUS FACIAL EXPRESSION,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 4b3dd18882ff2738aa867b60febd2b35ab34dffc,FACIAL FEATURE ANALYSIS OF SPONTANEOUS FACIAL EXPRESSION,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, 4bbe460ab1b279a55e3c9d9f488ff79884d01608,GAGAN: Geometry-Aware Generative Adversarial Networks,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu, 4bbe460ab1b279a55e3c9d9f488ff79884d01608,GAGAN: Geometry-Aware Generative Adversarial Networks,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +4b8762d7637868b6ba0c97c95b2d4949d103ecdc,The OU-ISIR Gait Database Comprising the Large Population Dataset and Performance Evaluation of Gait Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4b3f425274b0c2297d136f8833a31866db2f2aec,Toward Open-Set Face Recognition,"University of Colorado, Colorado Springs",University of Colorado Colorado Springs,"Main Hall, The Spine, Colorado Springs, El Paso County, Colorado, 80907, USA",38.89207560,-104.79716389,edu, 4b1682da96af72ce0ddaa9384ce294611807a8b3,Graph Distillation for Action Detection with Privileged Information,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 4bab23e4ce9b6c65a067953fe202c20c387f00c8,Sparse patch-histograms for object classification in cluttered images,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, @@ -12541,12 +15441,15 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 4b39b981133a91052956cc42d2967f349a95cd89,Towards Understanding Articulated Objects,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 4bc55ffc2f53801267ca1767028515be6e84f551,The Decision to Engage Cognitive Control Is Driven by Expected Reward-Value: Neural and Behavioral Evidence,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 4b4ecc1cb7f048235605975ab37bb694d69f63e5,Nonlinear Embedding Transform for Unsupervised Domain Adaptation,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, +4b48e912a17c79ac95d6a60afed8238c9ab9e553,Minimum Margin Loss for Deep Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4be79ee47771c670aa63bcdaff870f9dd8575a0d,phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, 4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc,Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking,"University of Colorado, Denver",University of Colorado Denver,"University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA",39.74287785,-105.00596398,edu, 4b4dc0c00a6011cb41dd3b1e19bd6fddce572ddc,Spatiotemporal KSVD Dictionary Learning for Online Multi-target Tracking,"University of Colorado, Denver",University of Colorado Denver,"University of Colorado (Denver Auraria campus), Lawrence Way, Auraria, Denver, Denver County, Colorado, 80217, USA",39.74287785,-105.00596398,edu, +4bfe7037b2d92215aeb5e116988ade7e6733a6b9,Frontal contributions to face processing differences in autism: evidence from fMRI of inverted face processing.,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 4b507a161af8a7dd41e909798b9230f4ac779315,A Theory of Multiplexed Illumination,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 4bd3de97b256b96556d19a5db71dda519934fd53,Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 4bd3de97b256b96556d19a5db71dda519934fd53,Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +4b1fc77a54e9daece9f11ec881a2ec40919337b7,Fusion of LBP and HOG using multiple kernel learning for infrared face recognition,China,China,China,35.86166000,104.19539700,edu, 4b605e6a9362485bfe69950432fa1f896e7d19bf,A Comparison of Human and Automated Face Verification Accuracy on Unconstrained Image Sets,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 4b421db0f57608470ac1e26077ecb8a6cdccade5,Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4bd088ba3f42aa1e43ae33b1988264465a643a1f,Multiview Face Detection Using Gabor Filters and Support Vector Machine,Halmstad University,Halmstad University,"Högskolan i Halmstad, 3, Kristian IV:s väg, Larsfrid, Nyhem, Halmstad, Hallands län, Götaland, 301 18, Sverige",56.66340325,12.87929727,edu, @@ -12564,23 +15467,31 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 4b3eaedac75ac419c2609e131ea9377ba8c3d4b8,Fast Newton active appearance models,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 4b02387c2db968a70b69d98da3c443f139099e91,Detecting facial landmarks in the video based on a hybrid framework,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, 4b02387c2db968a70b69d98da3c443f139099e91,Detecting facial landmarks in the video based on a hybrid framework,Guangdong University of Technology,Guangdong University of Technology,"广东工业大学, 东风东路, 黄花岗街道, 越秀区 (Yuexiu), 广州市, 广东省, 510080, 中国",23.13538360,113.29470496,edu, +4b519e2e88ccd45718b0fc65bfd82ebe103902f7,A Discriminative Model for Age Invariant Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4b519e2e88ccd45718b0fc65bfd82ebe103902f7,A Discriminative Model for Age Invariant Face Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 4b519e2e88ccd45718b0fc65bfd82ebe103902f7,A Discriminative Model for Age Invariant Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 4b519e2e88ccd45718b0fc65bfd82ebe103902f7,A Discriminative Model for Age Invariant Face Recognition,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, +4b0081d655e1a4df8988908045780938f1c18630,Human Identification Using Gait,Karadeniz Technical University,"Karadeniz Technical University, Trabzon, Turkey","Üniversite Mahallesi, Karadeniz Teknik Üniversitesi Eczacılık Fakültesi, 61000 Ortahisar/Trabzon, Turkey",40.98987380,39.77138250,edu, 4b321065f6a45e55cb7f9d7b1055e8ac04713b41,Affective Computing Models for Character Animation,Liverpool John Moores University,Liverpool John Moores University,"John Lennon Art and Design Building, Duckinfield Street, Knowledge Quarter, Liverpool, North West England, England, L3 5YD, UK",53.40507470,-2.97030029,edu, 4be774af78f5bf55f7b7f654f9042b6e288b64bd,Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +4be774af78f5bf55f7b7f654f9042b6e288b64bd,Variational methods for Conditional Multimodal Learning: Generating Human Faces from Attributes,India,India,India,20.59368400,78.96288000,edu, 4b86e711658003a600666d3ccfa4a9905463df1c,Fusion of Appearance Image and Passive Stereo Depth Map for Face Recognition Based on the Bilateral 2DLDA,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +4b5158bdc12b3704fdd5d199f83ace8505be2945,Histograms of Gabor Ordinal Measures for face representation and recognition,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 4bfce41cc72be315770861a15e467aa027d91641,Active Annotation Translation,University of Iceland,University of Iceland,"Háskóli Íslands, Sturlugata, Háskóli, Reykjavík, Reykjavíkurborg, Höfuðborgarsvæðið, 121, Ísland",64.13727400,-21.94561454,edu, 4ba3f9792954ee3ba894e1e330cd77da4668fa22,Nearest Neighbor Discriminant Analysis,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +4ba3f9792954ee3ba894e1e330cd77da4668fa22,Nearest Neighbor Discriminant Analysis,China,China,China,35.86166000,104.19539700,edu, 4ba3f9792954ee3ba894e1e330cd77da4668fa22,Nearest Neighbor Discriminant Analysis,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +4ba3f9792954ee3ba894e1e330cd77da4668fa22,Nearest Neighbor Discriminant Analysis,China,China,China,35.86166000,104.19539700,edu, 4b70374555c32c6a1e0db43674a7183170083450,Kernelized View Adaptive Subspace Learning for Person Re-identification,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 4b70374555c32c6a1e0db43674a7183170083450,Kernelized View Adaptive Subspace Learning for Person Re-identification,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 4b70374555c32c6a1e0db43674a7183170083450,Kernelized View Adaptive Subspace Learning for Person Re-identification,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4b18303edf701e41a288da36f8f1ba129da67eb7,An embarrassingly simple approach to zero-shot learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 4b18303edf701e41a288da36f8f1ba129da67eb7,An embarrassingly simple approach to zero-shot learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,China,China,China,35.86166000,104.19539700,edu, 4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu, 4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,Beijing Normal University,Beijing Normal University,"北京师范大学, 19, 新街口外大街, 西城区, 100875, 中国",39.96014155,116.35970438,edu, +4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,China,China,China,35.86166000,104.19539700,edu, 4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 4b4d8169664dcfc87cf7ab68d4a49ecd160d89f3,The pursuit of social acceptance: aberrant conformity in social anxiety disorder,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 4b3c1af4369c9ed6714451643ef9c06969849e73,Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, @@ -12601,11 +15512,16 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 81be42a4843a2ff03e8a46368f77ae95723f9c7b,Enhancing Re-identification Through Contextual Trajectory Forecasting,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 81be42a4843a2ff03e8a46368f77ae95723f9c7b,Enhancing Re-identification Through Contextual Trajectory Forecasting,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 81d0ab3201fbaef5aff57e9df2c12c7b4f228987,Talking Face Generation by Conditional Recurrent Adversarial Network,University of Tennessee,University of Tennessee,"University of Tennessee, Melrose Avenue, Fort Sanders, Knoxville, Knox County, Tennessee, 37916, USA",35.95424930,-83.93073950,edu, +8160b3b5f07deaa104769a2abb7017e9c031f1c1,Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 8120e2d8233f5335b09e673e63395a76ae0e6bae,Recent Advances in Deep Learning: An Overview,Chittagong University of Engineering and Technology,Chittagong University of Engineering and Technology,"Shaheed Tareq Huda Hall, Goal Chattar, চট্টগ্রাম, চট্টগ্রাম জেলা, চট্টগ্রাম বিভাগ, 4349, বাংলাদেশ",22.46221665,91.96942263,edu, 818ecc8c8d4dc398b01a852df90cb8d972530fa5,Unsupervised Training for 3D Morphable Model Regression,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 818ecc8c8d4dc398b01a852df90cb8d972530fa5,Unsupervised Training for 3D Morphable Model Regression,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, +81ede08b36f3abd423424804da8ff240606b3a5d,Top-Down Deep Appearance Attention for Action Recognition,Finland,Finland,Finland,61.92411000,25.74815110,edu, 81ba5202424906f64b77f68afca063658139fbb2,Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 81ba5202424906f64b77f68afca063658139fbb2,Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +81eecb00eeadb5fe36cd840b687439bfdca7ff30,Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +81eecb00eeadb5fe36cd840b687439bfdca7ff30,Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +813e9f76fb9e3f007f0bc819eab66b0b5fbd8204,Towards Building Large Scale Multimodal Domain-Aware Conversation Systems,India,India,India,20.59368400,78.96288000,edu, 81da427270c100241c07143885ba3051ec4a2ecb,Learning the Synthesizability of Dynamic Texture Samples,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 81c7d56f1a77097c8fa14b76cb359d7f436741a0,Looking at Outfit to Parse Clothing,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, 81c7d56f1a77097c8fa14b76cb359d7f436741a0,Looking at Outfit to Parse Clothing,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, @@ -12613,6 +15529,8 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 81884e1de00e59f24bc20254584d73a1a1806933,Super-Identity Convolutional Neural Network for Face Hallucination,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 81884e1de00e59f24bc20254584d73a1a1806933,Super-Identity Convolutional Neural Network for Face Hallucination,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 81884e1de00e59f24bc20254584d73a1a1806933,Super-Identity Convolutional Neural Network for Face Hallucination,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +81884e1de00e59f24bc20254584d73a1a1806933,Super-Identity Convolutional Neural Network for Face Hallucination,China,China,China,35.86166000,104.19539700,edu, +81884e1de00e59f24bc20254584d73a1a1806933,Super-Identity Convolutional Neural Network for Face Hallucination,China,China,China,35.86166000,104.19539700,edu, 81e366ed1834a8d01c4457eccae4d57d169cb932,Pose-Configurable Generic Tracking of Elongated Objects,Gdansk University of Technology,Gdansk University of Technology,"PG, Romualda Traugutta, Królewska Dolina, Wrzeszcz Górny, Gdańsk, pomorskie, 80-233, RP",54.37086525,18.61716016,edu, 8150f267cd2852f27639d4d85c3a311360346c88,Salient Montages from Unconstrained Videos,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 8145ff6adab3397a5ac52cc62a7c53dae59763db,ERP responses differentiate inverted but not upright face processing in adults with ASD.,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, @@ -12625,6 +15543,8 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 81fe36a1a49eabe38c7d98602447eec518af1aa2,Graph Regularised Hashing,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 8175f126198c126f9708fa8a04f57af830fba6aa,"DCGANs for image super-resolution , denoising and debluring",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 8175f126198c126f9708fa8a04f57af830fba6aa,"DCGANs for image super-resolution , denoising and debluring",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +819a321975c736e006870e76446d581e195cad2e,Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +819a321975c736e006870e76446d581e195cad2e,Deep Canonical Time Warping for Simultaneous Alignment and Representation Learning of Sequences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 816a7a4f8ec926502be5770bd33fc37dc8f078c0,Predicting Action Tubes,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, 812e06a4cee26629e198a0a6d991616933ab14d8,Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing,Polytechnique Montreal,Polytechnique Montr´eal,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada",45.50438400,-73.61288290,edu,"Polytechnique Montreal, Montreal, Quebec, Canada" 812e06a4cee26629e198a0a6d991616933ab14d8,Improving Multiple Object Tracking with Optical Flow and Edge Preprocessing,Polytechnique Montreal,Polytechnique Montr´eal,"2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada",45.50438400,-73.61288290,edu,"Polytechnique Montreal, Montreal, Quebec, Canada" @@ -12639,9 +15559,12 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 810baa46ed829553bdb478dad2782cef2278ca60,A Scalable Approach to Column-Based Low-Rank Matrix Approximation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 810baa46ed829553bdb478dad2782cef2278ca60,A Scalable Approach to Column-Based Low-Rank Matrix Approximation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 810baa46ed829553bdb478dad2782cef2278ca60,A Scalable Approach to Column-Based Low-Rank Matrix Approximation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +810baa46ed829553bdb478dad2782cef2278ca60,A Scalable Approach to Column-Based Low-Rank Matrix Approximation,China,China,China,35.86166000,104.19539700,edu, 810baa46ed829553bdb478dad2782cef2278ca60,A Scalable Approach to Column-Based Low-Rank Matrix Approximation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 81cf36452eb8d03c8c28fc3d56a6f305e96d4974,THE UNIVERSITY OF CHICAGO OBJECT DETECTION WITH CAD-TRAINED STATISTICAL MODELS FOR THE DEGREE OF MASTER OF SCIENCE DEPARTMENT OF COMPUTER SCIENCE BY GUSTAV LARSSON ADVISOR: YALI AMIT,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu, +8147ee02ec5ff3a585dddcd000974896cb2edc53,Angular Embedding: A Robust Quadratic Criterion,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 81fc86e86980a32c47410f0ba7b17665048141ec,Segment-based Methods for Facial Attribute Detection from Partial Faces,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +8120a64a73b89294990b3c1e4567b503869b8979,Stories in the Eye: Contextual Visual Interactions for Efficient Video to Language Translation,Romania,Romania,Romania,45.94316100,24.96676000,edu, 815e77b8f2e8f17205e46162b3addd02b2ea8ff0,Marker-less Pose Estimation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 812e11fc86e5d183337257978e5a0f26b5668218,Evaluating ResNeXt Model Architecture for Image Classification,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, 810cb5228315ac027bb8fbca94f6f8faa6ff8016,A Unified Contour-Pixel Model for Figure-Ground Segmentation,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -12652,10 +15575,16 @@ fb3844521f9719e4904e5d3d7e1e549e5881b1f4,An Event-Related Potential Study on the 816bd8a7f91824097f098e4f3e0f4b69f481689d,Latent semantic analysis of facial action codes for automatic facial expression recognition,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 814a3acea78a7a79a499c52ff2efc57254f8d02c,3D Pick&Mix: Object Part Blending in Joint Shape and Image Manifolds,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 814a3acea78a7a79a499c52ff2efc57254f8d02c,3D Pick&Mix: Object Part Blending in Joint Shape and Image Manifolds,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +818dcb3bac6342c02eebd896cd0a46bcf2192b64,Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +81706277ed180a92d2eeb94ac0560f7dc591ee13,Emotion based Contextual Semantic Relevance Feedback in Multimedia Information Retrieval,India,India,India,20.59368400,78.96288000,edu, +81706277ed180a92d2eeb94ac0560f7dc591ee13,Emotion based Contextual Semantic Relevance Feedback in Multimedia Information Retrieval,India,India,India,20.59368400,78.96288000,edu, 81bf7a4b8b3c21d42cb82f946f762c94031e11b8,Segmentation of Nerve on Ultrasound Images Using Deep Adversarial Network,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 81bf7a4b8b3c21d42cb82f946f762c94031e11b8,Segmentation of Nerve on Ultrasound Images Using Deep Adversarial Network,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +81d91eb9fa3fec5d198b4522d5c373e55c0ddffb,Face Recognition using DCT based Energy Discriminant Mask,India,India,India,20.59368400,78.96288000,edu, c0723e0e154a33faa6ff959d084aebf07770ffaf,Interpolation Between Eigenspaces Using Rotation in Multiple Dimensions,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, +c03f48e211ac81c3867c0e787bea3192fcfe323e,Mahalanobis Metric Scoring Learned from Weighted Pairwise Constraints in I-Vector Speaker Recognition System,China,China,China,35.86166000,104.19539700,edu, c0d0ef94dd3c53c3130b5b8ce38d981929b7adb2,Weakly- and Semi-supervised Panoptic Segmentation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +c0e5a471179d2d8c7025febe77a90c3a99c7c9fa,Learning With ℓ1-Graph for Image Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, c05f9e4979cb33090db984226ff3cff6e2dc1950,Counting in Dense Crowds using Deep Features,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, c033bafe915ddea9757f302557e0dc32110476de,Distorting Neural Representations to Generate Highly Transferable Adversarial Examples,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, c03e01717b2d93f04cce9b5fd2dcfd1143bcc180,Locality-Constrained Active Appearance Model,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -12674,20 +15603,31 @@ c048513689fbba0a12a1ab9cb08ab3a533918519,Model SelectionWithin a Bayesian Approa c0ead9bada2fb7cdebf7dadbc8548d08387966ae,Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, c0ead9bada2fb7cdebf7dadbc8548d08387966ae,Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, c0ead9bada2fb7cdebf7dadbc8548d08387966ae,Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +c0ead9bada2fb7cdebf7dadbc8548d08387966ae,Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing,Russia,Russia,Russia,61.52401000,105.31875600,edu, c0ead9bada2fb7cdebf7dadbc8548d08387966ae,Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, c00f402b9cfc3f8dd2c74d6b3552acbd1f358301,Learning deep representation from coarse to fine for face alignment,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, c0cdaeccff78f49f4604a6d263dc6eb1bb8707d5,MLP Neural Network Based Approach for Facial Expression Analysis,Kent State University,Kent State University,"Kent State University, Lester A. Lefton Esplanade, Whitehall Terrace, Kent, Portage County, Ohio, 44242-0001, USA",41.14435250,-81.33982833,edu, c0e0b878ec8c56679faccb3c3f5e2ae968182da5,A Multifactor Extension of Linear Discriminant Analysis for Face Recognition under Varying Pose and Illumination,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, c02cc6af3cc93e86e86fb66412212babda8fb858,Interocularly merged face percepts eliminate binocular rivalry,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +c03ce09b419b6a15c1228e344a900d8c54bddc78,Siamese Networks : A Thing or Two to Know,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu, c03ce09b419b6a15c1228e344a900d8c54bddc78,Siamese Networks : A Thing or Two to Know,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, c03ce09b419b6a15c1228e344a900d8c54bddc78,Siamese Networks : A Thing or Two to Know,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +c03ce09b419b6a15c1228e344a900d8c54bddc78,Siamese Networks : A Thing or Two to Know,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu, +c03ce09b419b6a15c1228e344a900d8c54bddc78,Siamese Networks : A Thing or Two to Know,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu, c09cd44a4413de704bd74d825ca435b742b73ded,Illumination Compensation and Enhancement for Face Recognition,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu, c06ca26b33ab2e9ce118ca02018be5834e8164a6,Robust Ear Recognition Using Gradient Ordinal Relationship Pattern,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu, c0ee89dc2dad76147780f96294de9e421348c1f4,Efficiently detecting outlying behavior in video-game players,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, c0ee89dc2dad76147780f96294de9e421348c1f4,Efficiently detecting outlying behavior in video-game players,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, +c0de99c5f15898e2d28f9946436fec2b831d4eae,ClothCap: seamless 4D clothing capture and retargeting,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +c0de99c5f15898e2d28f9946436fec2b831d4eae,ClothCap: seamless 4D clothing capture and retargeting,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, +c0de99c5f15898e2d28f9946436fec2b831d4eae,ClothCap: seamless 4D clothing capture and retargeting,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, c0262e24324a6a4e6af5bd99fc79e2eb802519b3,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, c0262e24324a6a4e6af5bd99fc79e2eb802519b3,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +c0262e24324a6a4e6af5bd99fc79e2eb802519b3,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,China,China,China,35.86166000,104.19539700,edu, +c0262e24324a6a4e6af5bd99fc79e2eb802519b3,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,China,China,China,35.86166000,104.19539700,edu, +c0262e24324a6a4e6af5bd99fc79e2eb802519b3,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,China,China,China,35.86166000,104.19539700,edu, c0ca6b992cbe46ea3003f4e9b48f4ef57e5fb774,A Two-Layer Representation For Large-Scale Action Recognition,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +c082afd5928165ccaf6d419aff5d0456d8ef78f3,Face recognition by fusing binary edge feature and second-order mutual information,China,China,China,35.86166000,104.19539700,edu, c014c487f8899845c8c6e8412e1df3951b504d71,CCTV Facial Recognition Analysis,Santa Clara University,Santa Clara University,"Cowell Center, Accolti Way, Santa Clara, Santa Clara County, California, 95053, USA",37.34820285,-121.93563541,edu, c0c80aeccb1628926738ea8f09d238061a8daa29,GBoost : A Generative Framework for Boosting with Applications to Real-Time Eye Coding ?,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, c074dcc5000320ebf13e7a974befced1ab70a08f,Attentional Pooling for Action Recognition,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -12695,10 +15635,13 @@ c02c914de25034ecd2c3287c2e731ab1130e7bee,Multi-Scale Structure-Aware Network for c00df53bd46f78ae925c5768d46080159d4ef87d,Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, c01876292b5d1ce6e746fd2e2053453847905bb2,DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, c0ef854f4119a74b37211aa4cc36b8c1addd9057,Training object class detectors with click supervision Dim,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +ac968bf321f1dfa2d216dccc22fa5315de63d7bd,Face Template Protection using Deep Convolutional Neural Network,India,India,India,20.59368400,78.96288000,edu, acaa781f353c769ae5f6101aab140f51b2d33cd2,Recent advances in correlation filter theory and applications,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, acaa781f353c769ae5f6101aab140f51b2d33cd2,Recent advances in correlation filter theory and applications,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, ac56b4d6f9775211dfc966e9151862fd508d3142,Three-dimensional information in face recognition: an eye-tracking study.,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu, ac56b4d6f9775211dfc966e9151862fd508d3142,Three-dimensional information in face recognition: an eye-tracking study.,University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu, +ac4c19e52a58aea27593b99f0ebe5316339b9646,A Probabilistic Approach for Image Retrieval Using Descriptive Textual Queries,India,India,India,20.59368400,78.96288000,edu, +ac4c19e52a58aea27593b99f0ebe5316339b9646,A Probabilistic Approach for Image Retrieval Using Descriptive Textual Queries,India,India,India,20.59368400,78.96288000,edu, ac21c8aceea6b9495574f8f9d916e571e2fc497f,Pose-Independent Identity-based Facial Image Retrieval using Contextual Similarity,"King Abdullah University of Science and Technology, Saudi Arabia",King Abdullah University of Science and Technology 4700,"KAUST, Collaboration Avenue, ثول, منطقة مكة المكرمة, 23955, السعودية",22.31055485,39.10515486,edu, acc9821b61ea804bd1e0b0e23a45f08fbf760a37,Smile Detection in the Wild Based on Transfer Learning,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, ac86ccc16d555484a91741e4cb578b75599147b2,Morphable Face Models - An Open Framework,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, @@ -12706,6 +15649,7 @@ ac9bdf668852dea5fa8ec4262f10562eda9bedd2,Deep Structured Learning for Facial Exp ac9bdf668852dea5fa8ec4262f10562eda9bedd2,Deep Structured Learning for Facial Expression Intensity Estimation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, aca57cd3f1f4edea9918814aabd0460c682cd56e,Discriminant Projective Non-Negative Matrix Factorization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, aca57cd3f1f4edea9918814aabd0460c682cd56e,Discriminant Projective Non-Negative Matrix Factorization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +ac88405d34b7b6fa701e25d9fbdb56126cc9a8c3,On the Diversity of Realistic Image Synthesis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, ac559888f996923c06b1cf90db6b57b12e582289,Benchmarking neuromorphic vision: lessons learnt from computer vision,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, ac559888f996923c06b1cf90db6b57b12e582289,Benchmarking neuromorphic vision: lessons learnt from computer vision,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, ac559888f996923c06b1cf90db6b57b12e582289,Benchmarking neuromorphic vision: lessons learnt from computer vision,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, @@ -12724,7 +15668,9 @@ acdc333f7b32d987e65ce15f21db64e850ca9471,Direct Loss Minimization for Training D ac32cdb3e0a996c75d5df2973c1a2444a81c0a5e,Defense Against Adversarial Attacks with Saak Transform,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, ac32cdb3e0a996c75d5df2973c1a2444a81c0a5e,Defense Against Adversarial Attacks with Saak Transform,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, ac392dba43796a25c2eee5f08671537634a77029,CyCADA: Cycle-Consistent Adversarial Domain Adaptation,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, +ac68dacd66ebe1c7eab56aaee9a8bef478be9a23,Sparkle: adaptive sample based scheduling for cluster computing,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, ac68dacd66ebe1c7eab56aaee9a8bef478be9a23,Sparkle: adaptive sample based scheduling for cluster computing,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, +ac68dacd66ebe1c7eab56aaee9a8bef478be9a23,Sparkle: adaptive sample based scheduling for cluster computing,China,China,China,35.86166000,104.19539700,edu, ac51d9ddbd462d023ec60818bac6cdae83b66992,An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, ac51d9ddbd462d023ec60818bac6cdae83b66992,An Efficient Robust Eye Localization by Learning the Convolution Distribution Using Eye Template,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, ac8269a3033ede3c1ce4381b1fef61375a54cfb9,Coordinating the Design and Management of Heterogeneous Datacenter Resources by Marisabel Guevara,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, @@ -12753,15 +15699,22 @@ ac207f5e368e285b0dd54387e3a898c550249b20,Stacked RNNs for Encoder-Decoder Networ aca75c032cfb0b2eb4c0ae56f3d060d8875e43f9,Co-Regularized Ensemble for Feature Selection,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, aca75c032cfb0b2eb4c0ae56f3d060d8875e43f9,Co-Regularized Ensemble for Feature Selection,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, ac0e595afa57db8c9310d72b2a2eb0758dc1e48f,Discriminative Learning of Latent Features for Zero-Shot Recognition,University of Dundee,University of Dundee,"University of Dundee, Park Wynd, Law, Dundee, Dundee City, Scotland, DD1 4HN, UK",56.45796755,-2.98214831,edu, +accbd6cd5dd649137a7c57ad6ef99232759f7544,Facial Expression Recognition with Local Binary Patterns and Linear Programming,Finland,Finland,Finland,61.92411000,25.74815110,edu, +accbd6cd5dd649137a7c57ad6ef99232759f7544,Facial Expression Recognition with Local Binary Patterns and Linear Programming,China,China,China,35.86166000,104.19539700,edu, acc548285f362e6b08c2b876b628efceceeb813e,Objectifying Facial Expressivity Assessment of Parkinson's Patients: Preliminary Study,Vrije Universiteit Brussel,Vrije Universiteit Brussel,"Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, Région de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, België / Belgique / Belgien",50.84110070,4.32377555,edu, acc548285f362e6b08c2b876b628efceceeb813e,Objectifying Facial Expressivity Assessment of Parkinson's Patients: Preliminary Study,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, acc548285f362e6b08c2b876b628efceceeb813e,Objectifying Facial Expressivity Assessment of Parkinson's Patients: Preliminary Study,Vrije Universiteit Brussel,Vrije Universiteit Brussel,"Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, Région de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, België / Belgique / Belgien",50.84110070,4.32377555,edu, acc548285f362e6b08c2b876b628efceceeb813e,Objectifying Facial Expressivity Assessment of Parkinson's Patients: Preliminary Study,Vrije Universiteit Brussel,Vrije Universiteit Brussel,"Vrije Universiteit Brussel, 170, Quai de l'Industrie - Nijverheidskaai, Anderlecht, Brussel-Hoofdstad - Bruxelles-Capitale, Région de Bruxelles-Capitale - Brussels Hoofdstedelijk Gewest, 1070, België / Belgique / Belgien",50.84110070,4.32377555,edu, +acc5318592303852feba755a1202fb3c683b3b53,Correction of AI systems by linear discriminants: Probabilistic foundations,Russia,Russia,Russia,61.52401000,105.31875600,edu, +acc5318592303852feba755a1202fb3c683b3b53,Correction of AI systems by linear discriminants: Probabilistic foundations,Russia,Russia,Russia,61.52401000,105.31875600,edu, acee2201f8a15990551804dd382b86973eb7c0a8,To boost or not to boost? On the limits of boosted trees for object detection,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, acfecef9e56ff36455aed13f8e6be1a79b42f20f,Hit or Run: Exploring Aggressive and Avoidant Reactions to Interpersonal Provocation Using a Novel Fight-or-Escape Paradigm (FOE),University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +acfecef9e56ff36455aed13f8e6be1a79b42f20f,Hit or Run: Exploring Aggressive and Avoidant Reactions to Interpersonal Provocation Using a Novel Fight-or-Escape Paradigm (FOE),Russia,Russia,Russia,61.52401000,105.31875600,edu, acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, +acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation,China,China,China,35.86166000,104.19539700,edu, +acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph-Based Framework for Scene Graph Generation,China,China,China,35.86166000,104.19539700,edu, 6a67e6fbbd9bcd3f724fe9e6cecc9d48d1b6ad4d,Cooperative Learning with Visual Attributes,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 6a4ebd91c4d380e21da0efb2dee276897f56467a,HOG active appearance models,University of Lincoln,University of Lincoln,"University of Lincoln, Brayford Way, Whitton Park, New Boultham, Lincoln, Lincolnshire, East Midlands, England, LN6 7TS, UK",53.22853665,-0.54873472,edu, 6a57b2258c2263af18b65e8a8542b87fb921eff0,Geometrical 2D Face Rotation by Using Gabor- tensor-based Active Appearance Model,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, @@ -12777,34 +15730,47 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph 6a4ac9ac5ddfeeb8adcff1795eccd39de25a00c4,Composite Feature-Based Face Detection Using Skin Color Modeling and SVM Classification,Utah State University,Utah State University,"Utah State University, Champ Drive, Logan, Cache County, Utah, 84322, USA",41.74115040,-111.81223090,edu, 6ae4f3ff909ae6171ad54e8c5d942d1c83706e45,Multi-Label Zero-Shot Learning with Structured Knowledge Graphs,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 6ae4f3ff909ae6171ad54e8c5d942d1c83706e45,Multi-Label Zero-Shot Learning with Structured Knowledge Graphs,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +6a1da83440c7685f5a03e7bda17be9025e0892e3,Semantic Match Consistency for Long-Term Visual Localization,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +6afeb764ee97fbdedfa8f66810dfc22feae3fa1f,Robust Principal Component Analysis with Complex Noise,China,China,China,35.86166000,104.19539700,edu, 6afeb764ee97fbdedfa8f66810dfc22feae3fa1f,Robust Principal Component Analysis with Complex Noise,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, 6afeb764ee97fbdedfa8f66810dfc22feae3fa1f,Robust Principal Component Analysis with Complex Noise,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 6ae9f4dc7433ba3433b39ee932b22fd57922c2ee,Using Facially Expressive Robots to Calibrate Clinical Pain Perception,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 6ae9f4dc7433ba3433b39ee932b22fd57922c2ee,Using Facially Expressive Robots to Calibrate Clinical Pain Perception,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu, +6ac1dc59e823d924e797afaf5c4a960ed7106f2a,Deep Facial Expression Recognition: A Survey,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +6a7e464464f70afea78552c8386f4d2763ea1d9c,Facial Landmark Localization – A Literature Survey,India,India,India,20.59368400,78.96288000,edu, +6a2ac4f831bd0f67db45e7d3cdaeaaa075e7180a,Excitation Dropout: Encouraging Plasticity in Deep Neural Networks,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 6a2ac4f831bd0f67db45e7d3cdaeaaa075e7180a,Excitation Dropout: Encouraging Plasticity in Deep Neural Networks,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, +6a2ac4f831bd0f67db45e7d3cdaeaaa075e7180a,Excitation Dropout: Encouraging Plasticity in Deep Neural Networks,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 6aa61d28750629febe257d1cb69379e14c66c67f,Kernel Hebbian Algorithm for Iterative Kernel Principal Component Analysis,Max Planck Institute for Biological Cybernetics,Max Planck Institute for Biological Cybernetics,"Max-Planck-Institut für Biologische Kybernetik, 8, Max-Planck-Ring, Max-Planck-Institut, Wanne, Tübingen, Landkreis Tübingen, Regierungsbezirk Tübingen, Baden-Württemberg, 72076, Deutschland",48.53691250,9.05922533,edu, 6ab30c67fa966b6bcee61de6294245e2dd8604d8,3D Face Recognition Based on G-H Shape Variation,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, 6aef7b35776ed2b86b60af096319b9f4fc7f37b8,Detection-assisted Object Tracking by Mobile Cameras,University of Nebraska - Lincoln,University of Nebraska - Lincoln,"Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA",40.81747230,-96.70444680,edu, 6a657995b02bc9dee130701138ea45183c18f4ae,The Timing of Facial Motion in posed and Spontaneous Smiles,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 6ab6c1334c70db6e7705455a2db359e8d83042f9,Rationale for a 3D heterogeneous multi-core processor,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, +6a1fd51107770edbdd832a1934ff5461e891f2e1,A Robust and Dominant Local Binary Pattern and Its Application,India,India,India,20.59368400,78.96288000,edu, +6ade1e0d4744d2eb5bf7bab97289ffd7eeb5a661,SIMULATED+UNSUPERVISED LEARNING WITH ADAPTIVE DATA GENERATION AND BIDIRECTIONAL MAPPINGS,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 6ae96f68187f1cdb9472104b5431ec66f4b2470f,Improving Task Performance in an Affect-mediated Computing System,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 6ae96f68187f1cdb9472104b5431ec66f4b2470f,Improving Task Performance in an Affect-mediated Computing System,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 6a8d382d34143143e98b040e006f473bd450502d,Object Relation Detection Based on One-shot Learning,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 6a2b83c4ae18651f1a3496e48a35b0cd7a2196df,Top Rank Supervised Binary Coding for Visual Search,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 6a2b83c4ae18651f1a3496e48a35b0cd7a2196df,Top Rank Supervised Binary Coding for Visual Search,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 6a64c83a016e4831ae7beb9e0df8ab7ff514bf2e,Task-Specific Codes for Face Recognition: How they Shape the Neural Representation of Features for Detection and Individuation,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +6ad5a38df8dd4cdddd74f31996ce096d41219f72,Multi-cue onboard pedestrian detection,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +6ad5a38df8dd4cdddd74f31996ce096d41219f72,Multi-cue onboard pedestrian detection,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 6a0e35c2ee573ab62157c599dc92bd05cc511b4d,Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, 6a18355b3b8c0f9deae09f2a86d939e64de5143b,Fast Patch-based Style Transfer of Arbitrary Style.,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 6a18355b3b8c0f9deae09f2a86d939e64de5143b,Fast Patch-based Style Transfer of Arbitrary Style.,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 6a4419ce2338ea30a570cf45624741b754fa52cb,Statistical transformer networks: learning shape and appearance models via self supervision,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 6aaa77e241fe55ae0c4ad281e27886ea778f9e23,F-Formation Detection: Individuating Free-Standing Conversational Groups in Images,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +6aaa77e241fe55ae0c4ad281e27886ea778f9e23,F-Formation Detection: Individuating Free-Standing Conversational Groups in Images,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 6af65e2a1eba6bd62843e7bf717b4ccc91bce2b8,A New Weighted Sparse Representation Based on MSLBP and Its Application to Face Recognition,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, 6a5fe819d2b72b6ca6565a0de117c2b3be448b02,Supervised and Projected Sparse Coding for Image Classification,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 63c7c8dff73ec6798e38ed7466a4f8ff8a87f879,Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 63fd747875052931aed46a37c6da7d7ebb7768ec,Venues in Social Media: Examining Ambiance Perception Through Scene Semantics,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 63fd747875052931aed46a37c6da7d7ebb7768ec,Venues in Social Media: Examining Ambiance Perception Through Scene Semantics,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 63f9f3f0e1daede934d6dde1a84fb7994f8929f0,Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +63f9f3f0e1daede934d6dde1a84fb7994f8929f0,Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition,China,China,China,35.86166000,104.19539700,edu, 634e02d6107529d672cbbdf5b97990966e289829,Cost-Effective Training of Deep CNNs with Active Model Adaptation,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +634e02d6107529d672cbbdf5b97990966e289829,Cost-Effective Training of Deep CNNs with Active Model Adaptation,China,China,China,35.86166000,104.19539700,edu, 631a1571d1a073369ec7c98e196de07e263ae130,Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 631a1571d1a073369ec7c98e196de07e263ae130,Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 631a1571d1a073369ec7c98e196de07e263ae130,Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, @@ -12812,9 +15778,11 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph 6324fada2fb00bd55e7ff594cf1c41c918813030,Uncertainty reduction for active image clustering via a hybrid global-local uncertainty model,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu, 6342a4c54835c1e14159495373ab18b4233d2d9b,TOWARDS POSE-ROBUST FACE RECOGNITION ON VIDEO,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 63a584487beb7382cad8ed70020f108ded5bf076,Face Detection and Modeling for Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +63c71e317168d5b55dccaf5515ad96c9e87f7d9e,"Part-Based RDF for Direction Classification of Pedestrians, and a Benchmark",University of Auckland,"The University of Auckland, Auckland, New Zealand","Auckland 1010, New Zealand",-36.85233780,174.76910730,edu, 630af2eb466fac956f9a43bf877be0eae6d80027,CariGANs: Unpaired Photo-to-Caricature Translation,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 630af2eb466fac956f9a43bf877be0eae6d80027,CariGANs: Unpaired Photo-to-Caricature Translation,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, 630af2eb466fac956f9a43bf877be0eae6d80027,CariGANs: Unpaired Photo-to-Caricature Translation,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, +630af2eb466fac956f9a43bf877be0eae6d80027,CariGANs: Unpaired Photo-to-Caricature Translation,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 63660c50e2669a5115c2379e622549d8ed79be00,Deep Salient Object Detection by Integrating Multi-level Cues,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 63660c50e2669a5115c2379e622549d8ed79be00,Deep Salient Object Detection by Integrating Multi-level Cues,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 632b24ddd42fda4aebc5a8af3ec44f7fd3ecdc6c,Real-Time Facial Segmentation and Performance Capture from RGB Input,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, @@ -12826,18 +15794,26 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph 635e3ce6fb0b28f38fb77f25770911bf08f0ff03,Face-to-face interference in typical and atypical development,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, 632029daf2a667cb87cd3078a853d68412ea6896,Clustering-Based Joint Feature Selection for Semantic Attribute Prediction,Arizona State University,Arizona State University,"Arizona State University Polytechnic campus, East Texas Avenue, Mesa, Maricopa County, Arizona, 85212, USA",33.30715065,-111.67653157,edu, 63f367d50b248680138cb4b3aec3143fad3a7112,Ordinal Random Forests for Object Detection,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, +638b98ce5fddd0bd6d9ca22fb4c48220e6f3109c,Facial Feature Extraction in Colour Images Based on Local Binary Pattern,India,India,India,20.59368400,78.96288000,edu, +638b98ce5fddd0bd6d9ca22fb4c48220e6f3109c,Facial Feature Extraction in Colour Images Based on Local Binary Pattern,India,India,India,20.59368400,78.96288000,edu, 63e7c466326ab0aea0cc349b4bdafe0e59ab801d,Ranking Metrics and Evaluation Measures,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 637de43801f26fab8f567787485c57ab92273ce5,Mask-aware Photorealistic Face Attribute Manipulation,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 637de43801f26fab8f567787485c57ab92273ce5,Mask-aware Photorealistic Face Attribute Manipulation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +63d865c66faaba68018defee0daf201db8ca79ed,Deep Regression for Face Alignment,China,China,China,35.86166000,104.19539700,edu, 63d865c66faaba68018defee0daf201db8ca79ed,Deep Regression for Face Alignment,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 631c4ca00eaa65b801c63d32c0f564e974009ddd,Self-attention Learning for Person Re-identification,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 631c4ca00eaa65b801c63d32c0f564e974009ddd,Self-attention Learning for Person Re-identification,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +63b29886577a37032c7e32d8899a6f69b11a90de,Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles,China,China,China,35.86166000,104.19539700,edu, 63b29886577a37032c7e32d8899a6f69b11a90de,Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, 633f4e4d1e29d336a5472a9cf43163fdceafecfa,PatchFCN for Intracranial Hemorrhage Detection,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 6345eef2ffe46da6d77d07446c1329da7ea00f45,Trajectory Ensemble: Multiple Persons Consensus Tracking Across Non-overlapping Multiple Cameras over Randomly Dropped Camera Networks,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, +63db312ec494988e1af0c1db5f9d9ca40ef89237,Vision Based Gesture Recognition : a Comprehensive Study,India,India,India,20.59368400,78.96288000,edu, +63db312ec494988e1af0c1db5f9d9ca40ef89237,Vision Based Gesture Recognition : a Comprehensive Study,India,India,India,20.59368400,78.96288000,edu, 63cff99eff0c38b633c8a3a2fec8269869f81850,Feature Correlation Filter for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +63cff99eff0c38b633c8a3a2fec8269869f81850,Feature Correlation Filter for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 632441c9324cd29489cee3da773a9064a46ae26b,Video-based Cardiac Physiological Measurements Using Joint Blind Source Separation Approaches,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 632441c9324cd29489cee3da773a9064a46ae26b,Video-based Cardiac Physiological Measurements Using Joint Blind Source Separation Approaches,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +63cdf4aa1492c5c8fb109a1bf03af4844982e265,Reconstructing High-Resolution Face Models From Kinect Depth Sequences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6355f7fd956466e8e9f09b297e6cdd155d66740e,EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 6348357fecf5324038f4ff5f14d9196f4659c74b,Biometrics : Face Recognition in Thermal Infrared,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, 63a2e2155193dc2da9764ae7380cdbd044ff2b94,A Dense SURF and Triangulation Based Spatio-temporal Feature for Action Recognition,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, @@ -12855,37 +15831,48 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph 635e5b6219a655b73f47ae74751ae43577d22da6,Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, 621f656fedda378ceaa9c0096ebb1556a42e5e0f,Single Sample Face Recognition from Video via Stacked Supervised Auto-Encoder,Rio de Janeiro State University,Rio de Janeiro State University,"UERJ, 524, Rua São Francisco Xavier, Maracanã, Zona Norte do Rio de Janeiro, Rio de Janeiro, Microrregião Rio de Janeiro, Região Metropolitana do Rio de Janeiro, RJ, Região Sudeste, 20550-900, Brasil",-22.91117105,-43.23577971,edu, 62ee1385725c508cdb64a8318d2e07bddf8b5832,Shape-based Image Correspondence,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +628b7dbf216aba008b9ef74a411b87a99e7a3106,A review of speech-based bimodal recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 62f7de0e26f5716beb32b9d14e646e76b3a2e2af,Continuous Hyper-parameter Learning for Support Vector Machines,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 621ff353960d5d9320242f39f85921f72be69dc8,Explicit occlusion detection based deformable fitting for facial landmark localization,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 6261eb75066f779e75b02209fbd3d0f02d3e1e45,Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +6261eb75066f779e75b02209fbd3d0f02d3e1e45,Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning,China,China,China,35.86166000,104.19539700,edu, 62b680a5ab0d83a8c5783585a4e3e541ac997ea0,Visible-information-aided eyeglasses removing for thermal image reconstruction,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 62b680a5ab0d83a8c5783585a4e3e541ac997ea0,Visible-information-aided eyeglasses removing for thermal image reconstruction,Donghua University,Donghua University,"东华大学, 新华路, 长宁区, 上海市, 210011, 中国",31.20619390,121.41047101,edu, 62b680a5ab0d83a8c5783585a4e3e541ac997ea0,Visible-information-aided eyeglasses removing for thermal image reconstruction,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 6293d33e176ba7ccd59e94f8a137876c1d581e1f,Holistic features for real-time crowd behaviour anomaly detection,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, +62647a8f8a534db2ccfd0df7d513b4f084231d10,Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image,China,China,China,35.86166000,104.19539700,edu, 62647a8f8a534db2ccfd0df7d513b4f084231d10,Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 62647a8f8a534db2ccfd0df7d513b4f084231d10,Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 629b1bdf4d96bb41f7d3fce5c7d5617515303b71,Diving Deeper into IM 2 GPS,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 629b1bdf4d96bb41f7d3fce5c7d5617515303b71,Diving Deeper into IM 2 GPS,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 62035628c85e13c10db4dfe2acedc5741874fc2e,Auto-Context R-CNN,North Carolina State University,North Carolina State University,"North Carolina State University, Oval Drive, West Raleigh, Raleigh, Wake County, North Carolina, 27695, USA",35.77184965,-78.67408695,edu, +6268ad4bc516a41a30db566e2207079fc483212e,LBP-Based Edge-Texture Features for Object Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,India,India,India,20.59368400,78.96288000,edu, 6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, 6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, +6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,India,India,India,20.59368400,78.96288000,edu, 6226f2ea345f5f4716ac4ddca6715a47162d5b92,Object Detection: Current and Future Directions,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, 62b83bf64f200ebb9fa16dfb7108b85e390b2207,Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 62b83bf64f200ebb9fa16dfb7108b85e390b2207,Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 62b83bf64f200ebb9fa16dfb7108b85e390b2207,Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 6250781bb606041fdc1621ba08aee541bfb1285b,Ear Biometrics Using 2D and 3D Images,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 621227db6a9b0ad374cf737fea3760b49c4de42c,Hardware Trojan Attacks on Neural Networks,Clemson University,Clemson University,"Clemson University, Old Stadium Road, Clemson Heights, Pickens County, South Carolina, 29631, USA",34.66869155,-82.83743476,edu, +62c425be3e07e076d1339d1f2fe2ed319a859f02,Face Recognition & Gender Determination Using LIPS .,India,India,India,20.59368400,78.96288000,edu, 62aaa33c46a7c4c2d8a80c81954101576200799d,Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 628a3f027b7646f398c68a680add48c7969ab1d9,Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" +628a3f027b7646f398c68a680add48c7969ab1d9,Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 6290c85a9ae8b6c89151a5f8dbd678a514054674,Face Recognition - Combine Generic and Specific Solutions,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 6220d0424bc7357e7e381d59baecdff91062ba81,A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu, 62beb92e4de7b682619eba0aa39c14a39c95718f,Towards Effective Deep Embedding for Zero-Shot Learning,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 62beb92e4de7b682619eba0aa39c14a39c95718f,Towards Effective Deep Embedding for Zero-Shot Learning,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, +62e2c431d375bbafd988d53c4d39f240c8b7977b,A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, +62e2c431d375bbafd988d53c4d39f240c8b7977b,A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 62dc594c1eac220d2116506d187d9fdd5ff8e795,Robust multi-view pedestrian tracking using neural networks,University of Dayton,University of Dayton,"University of Dayton, Caldwell Street, South Park Historic District, Dayton, Montgomery, Ohio, 45409, USA",39.73844400,-84.17918747,edu, 624e9d9d3d941bab6aaccdd93432fc45cac28d4b,Object-Scene Convolutional Neural Networks for event recognition in images,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 624e9d9d3d941bab6aaccdd93432fc45cac28d4b,Object-Scene Convolutional Neural Networks for event recognition in images,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +62da5876fbc5b6abe467891fc71b68173e6ad061,Heterogeneous Face Recognition Using Kernel Prototype Similarities,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 62fd622b3ca97eb5577fd423fb9efde9a849cbef,Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 62fd622b3ca97eb5577fd423fb9efde9a849cbef,Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 62fd622b3ca97eb5577fd423fb9efde9a849cbef,Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, @@ -12896,8 +15883,11 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph 622daa25b5e6af69f0dac3a3eaf4050aa0860396,Greedy Feature Selection for Subspace Clustering,Rice University,Rice University,"Rice University, Stockton Drive, Houston, Harris County, Texas, 77005-1890, USA",29.71679145,-95.40478113,edu, 626913b8fcbbaee8932997d6c4a78fe1ce646127,Learning from Millions of 3D Scans for Large-scale 3D Face Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 621e8882c41cdaf03a2c4a986a6404f0272ba511,On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +62d5c16760018b08e301a940434c3fc2e862c385,Approach For Palm Vein Blood Vessel Detection Based On Fuzzy Logic,India,India,India,20.59368400,78.96288000,edu, +62d5c16760018b08e301a940434c3fc2e862c385,Approach For Palm Vein Blood Vessel Detection Based On Fuzzy Logic,India,India,India,20.59368400,78.96288000,edu, 62d9750adb300cd53fb107b174cb6a07fb8b96b5,Using 3D Models to Recognize 2D Faces in the Wild,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, 624706748e2e62a4e07ae761543da6d41e3f8fcd,Language Grounding in Massive Online Data,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, +629722342f719ee413e9bb07072a2fc2b4f09a26,Gender Classification by Information Fusion of Hair and Face,China,China,China,35.86166000,104.19539700,edu, 62e913431bcef5983955e9ca160b91bb19d9de42,Facial Landmark Detection with Tweaked Convolutional Neural Networks,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu, 1439bf9ba7ff97df9a2da6dae4784e68794da184,LGE-KSVD: Flexible Dictionary Learning for Optimized Sparse Representation Classification,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 141ee531d03fb6626043e33dd8f269a6f1f63a4b,How Robust is 3D Human Pose Estimation to Occlusion?,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, @@ -12908,12 +15898,20 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph 1486f2e32deac2b61d37b52e48d07fcd5208a164,Occlusion Patterns for Object Class Detection,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 14a3194bb454f1f2e3fc1452045ac18c69959368,Fast Object Detection Using Multistage Particle Window Deformable Part Model,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu, 14a3194bb454f1f2e3fc1452045ac18c69959368,Fast Object Detection Using Multistage Particle Window Deformable Part Model,National Chung Cheng University,National Chung Cheng University,"國立中正大學, 168, 鳳凰大道, 民雄鄉, 嘉義縣, 62102, 臺灣",23.56306355,120.47510531,edu, +14f964d152337e963e4a4fd3619f6030aa75deb1,Person Re-identification by Discriminatively Selecting Parts and Features,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, +1491d0938bb4183bd19f2fee3b61997e1918160d,Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision,Finland,Finland,Finland,61.92411000,25.74815110,edu, 1491d0938bb4183bd19f2fee3b61997e1918160d,Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +1491d0938bb4183bd19f2fee3b61997e1918160d,Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision,Finland,Finland,Finland,61.92411000,25.74815110,edu, +1491d0938bb4183bd19f2fee3b61997e1918160d,Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision,Finland,Finland,Finland,61.92411000,25.74815110,edu, +1491d0938bb4183bd19f2fee3b61997e1918160d,Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision,Finland,Finland,Finland,61.92411000,25.74815110,edu, 14b87359f6874ff9b8ee234b18b418e57e75b762,Face Alignment Using a Ranking Model based on Regression Trees,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 14b87359f6874ff9b8ee234b18b418e57e75b762,Face Alignment Using a Ranking Model based on Regression Trees,Istanbul Technical University,Istanbul Technical University,"Istanbul Technical University, walking path from main road to Simit restaurant, İstanbul Teknik Üniversitesi, Maslak, F.S.M Mahallesi, Sarıyer, İstanbul, Marmara Bölgesi, 34469, Türkiye",41.10427915,29.02231159,edu, 14bb9a1eaedac0e53b692031008bee529ff30ff8,Feature Selection Mechanism in CNNs for Facial Expression Recognition,Zhejiang University of Technology,Zhejiang University of Technology,"浙江工业大学, 潮王路, 朝晖街道, 杭州市 Hangzhou, 浙江省, 310014, 中国",30.29315340,120.16204580,edu, +14bb9a1eaedac0e53b692031008bee529ff30ff8,Feature Selection Mechanism in CNNs for Facial Expression Recognition,China,China,China,35.86166000,104.19539700,edu, 14bb9a1eaedac0e53b692031008bee529ff30ff8,Feature Selection Mechanism in CNNs for Facial Expression Recognition,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu, +14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d,Correlation filter cascade for facial landmark localization,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 14ff9c89f00dacc8e0c13c94f9fadcd90e4e604d,Correlation filter cascade for facial landmark localization,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +14f0283c703e450e5f17cbe94878896de865ce30,Robust Visual Tracking for Multiple Targets with Data Association and Track Management,India,India,India,20.59368400,78.96288000,edu, 14151238780bedb19c585ab3374b3240d61899b9,Appearance-Based Classification and Recognition Using Spectral Histogram Representations and Hierarchical Learning for Oca,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, 14151238780bedb19c585ab3374b3240d61899b9,Appearance-Based Classification and Recognition Using Spectral Histogram Representations and Hierarchical Learning for Oca,Florida State University,Florida State University,"Florida State University, 600, West College Avenue, Tallahassee, Leon County, Florida, 32306-1058, USA",30.44235995,-84.29747867,edu, 141768ab49a5a9f5adcf0cf7e43a23471a7e5d82,Relative facial action unit detection,McMaster University,McMaster University,"McMaster University, Westdale, Hamilton, Ontario, Canada",43.26336945,-79.91809684,edu, @@ -12926,12 +15924,17 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph 14421119527aa5882e1552a651fbd2d73bc94637,Searching for objects driven by context,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 14421119527aa5882e1552a651fbd2d73bc94637,Searching for objects driven by context,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 14d72dc9f78d65534c68c3ed57305f14bd4b5753,Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +14d72dc9f78d65534c68c3ed57305f14bd4b5753,Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles,China,China,China,35.86166000,104.19539700,edu, +14d72dc9f78d65534c68c3ed57305f14bd4b5753,Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles,China,China,China,35.86166000,104.19539700,edu, 1462fea6c71be9c442f443488fc7c45e1840e9ed,Learning a perceptual manifold for image set classification,Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +14902cf0b07eae6561184b12aef07e945936ed26,Road side video surveillance in traffic scenes using mapreduce framework for accident analysis,India,India,India,20.59368400,78.96288000,edu, 14819d286c9b46c8e57c7e809db879f9e1451226,Shape Anchors for Data-Driven Multi-view Reconstruction,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 14819d286c9b46c8e57c7e809db879f9e1451226,Shape Anchors for Data-Driven Multi-view Reconstruction,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 14819d286c9b46c8e57c7e809db879f9e1451226,Shape Anchors for Data-Driven Multi-view Reconstruction,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 14819d286c9b46c8e57c7e809db879f9e1451226,Shape Anchors for Data-Driven Multi-view Reconstruction,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, +14e38bafe584fa0f3cf5899027c61247ff14204c,An overview of recent progress in volumetric semantic 3D reconstruction,University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, 14e38bafe584fa0f3cf5899027c61247ff14204c,An overview of recent progress in volumetric semantic 3D reconstruction,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +14e38bafe584fa0f3cf5899027c61247ff14204c,An overview of recent progress in volumetric semantic 3D reconstruction,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 14df5bbb6fc34819f4ef43bb2b8cb1ada35613fe,RED: Reinforced Encoder-Decoder Networks for Action Anticipation,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 140438a77a771a8fb656b39a78ff488066eb6b50,Localizing Parts of Faces Using a Consensus of Exemplars,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 140438a77a771a8fb656b39a78ff488066eb6b50,Localizing Parts of Faces Using a Consensus of Exemplars,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, @@ -12951,6 +15954,7 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph 1432654a204391b6e2ec197138be0f7c8cb83ae5,Coreset-Based Neural Network Compression,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 149c21e5f1c52429fb1585d30b50bc850a16edcd,A 3 D Audio-visual Corpus for Speech Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 149c21e5f1c52429fb1585d30b50bc850a16edcd,A 3 D Audio-visual Corpus for Speech Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, +14a022a3eb8cc9681b1ab075650d462788de1fa0,GANs for Biological Image Synthesis,Russia,Russia,Russia,61.52401000,105.31875600,edu, 14f0bce6645f39a44f5b0e695b5f28ea55fd9625,A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 14f0bce6645f39a44f5b0e695b5f28ea55fd9625,A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 14418ae9a6a8de2b428acb2c00064da129632f3e,Discovering the Spatial Extent of Relative Attributes,"University of California, Davis","University of California, Davis","University of California, Davis, Apiary Drive, Yolo County, California, 95616-5270, USA",38.53363490,-121.79077264,edu, @@ -12963,13 +15967,17 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph 14e9158daf17985ccbb15c9cd31cf457e5551990,ConvNets with Smooth Adaptive Activation Functions for Regression,Stony Brook University Hospital,Stony Brook University Hospital,"Stony Brook University Hospital, 101, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.90826665,-73.11520891,edu, 1491c73713ff0b931e5bc1e990b9e762bfe7b60b,Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 14014a1bdeb5d63563b68b52593e3ac1e3ce7312,Expression-Invariant Age Estimation,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +14014a1bdeb5d63563b68b52593e3ac1e3ce7312,Expression-Invariant Age Estimation,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, +148316962e1ebb7086837e25cbee9ecbd71e5940,Efficient Multi-Person Pose Estimation with Provable Guarantees,China,China,China,35.86166000,104.19539700,edu, 148316962e1ebb7086837e25cbee9ecbd71e5940,Efficient Multi-Person Pose Estimation with Provable Guarantees,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 14d0afea52c4e9b7a488f6398e4a92bd4f4b93c7,Rethinking the Faster R-CNN Architecture for Temporal Action Localization,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 1423037dd56f85453cd4257861821aeeb7478bc1,"Universal representations: The missing link between faces, text, planktons, and cat breeds",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 1423037dd56f85453cd4257861821aeeb7478bc1,"Universal representations: The missing link between faces, text, planktons, and cat breeds",University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 14629c6989721e452fd9a49b5c20b8e849bce82a,Batch Algorithm with Additional Shape Constraints for Non-Rigid Factorization,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 14bca107bb25c4dce89210049bf39ecd55f18568,Emotion recognition from facial images with arbitrary views,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +14bca107bb25c4dce89210049bf39ecd55f18568,Emotion recognition from facial images with arbitrary views,Finland,Finland,Finland,61.92411000,25.74815110,edu, 14070478b8f0d84e5597c3e67c30af91b5c3a917,Detecting Social Actions of Fruit Flies,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +142f319dd7437c33429a6932390006b69fd7bc50,Learning AAM Fitting through Simulation 1,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 142f319dd7437c33429a6932390006b69fd7bc50,Learning AAM Fitting through Simulation 1,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 142f319dd7437c33429a6932390006b69fd7bc50,Learning AAM Fitting through Simulation 1,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 142f319dd7437c33429a6932390006b69fd7bc50,Learning AAM Fitting through Simulation 1,University of Canberra,University of Canberra,"University of Canberra, University Drive, Bruce, Belconnen, Australian Capital Territory, 2617, Australia",-35.23656905,149.08446994,edu, @@ -12994,13 +16002,17 @@ acfe5b5c99be70fa3120d410e7be55b9fe299f40,Factorizable Net: An Efficient Subgraph 14de80b1b86ea342ba44c584e9e39b9089472658,M-PACT: An Open Source Platform for Repeatable Activity Classification Research,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 143bee9120bcd7df29a0f2ad6f0f0abfb23977b8,Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 143bee9120bcd7df29a0f2ad6f0f0abfb23977b8,Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +1471c0b72e4a88b39e59362bf169bb35915966a9,Extended Coding and Pooling in the HMAX Model,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 14f936e4eca8382ad835bf18b4a11d2e6682fd71,Simultaneous Children Recognition and Tracking for Childcare Assisting System by Using Kinect Sensors,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, +14f936e4eca8382ad835bf18b4a11d2e6682fd71,Simultaneous Children Recognition and Tracking for Childcare Assisting System by Using Kinect Sensors,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, 1412f4024babbc01b671f7ee4a22d86db1545268,Proximity and gaze influences facial temperature: a thermal infrared imaging study,University of Portsmouth,University of Portsmouth,"University of Portsmouth - North Zone, Portland Street, Portsea, Portsmouth, South East, England, PO1 3DE, UK",50.79805775,-1.09834911,edu, 14b69626b64106bff20e17cf8681790254d1e81c,Hybrid Super Vector with Improved Dense Trajectories for Action Recognition,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 14b69626b64106bff20e17cf8681790254d1e81c,Hybrid Super Vector with Improved Dense Trajectories for Action Recognition,Southwest Jiaotong University,Southwest Jiaotong University,"西南交通大学 - Xinan Jiaotong University, 二环高架路, 沁园小区, 金牛区, 金牛区 (Jinniu), 成都市 / Chengdu, 四川省, 610084, 中国",30.69784700,104.05208110,edu, 14b69626b64106bff20e17cf8681790254d1e81c,Hybrid Super Vector with Improved Dense Trajectories for Action Recognition,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, c526f3e27c7d8ed5e07cf57ab378f17e1c548ebe,Learning Human Identity Using View-Invariant Multi-view Movement Representation,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, c58b7466f2855ffdcff1bebfad6b6a027b8c5ee1,Ultra-Resolving Face Images by Discriminative Generative Networks,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +c5c379a807e02cab2e57de45699ababe8d13fb6d,Facial Expression Recognition Using Sparse Representation,China,China,China,35.86166000,104.19539700,edu, +c5c379a807e02cab2e57de45699ababe8d13fb6d,Facial Expression Recognition Using Sparse Representation,China,China,China,35.86166000,104.19539700,edu, c563a1a197e8e9b5119063a8fd57fa5a7ca0da03,"Gaze cues in complex, real-world scenes direct the attention of high-functioning adults with autism",University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, c563a1a197e8e9b5119063a8fd57fa5a7ca0da03,"Gaze cues in complex, real-world scenes direct the attention of high-functioning adults with autism",University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, c563a1a197e8e9b5119063a8fd57fa5a7ca0da03,"Gaze cues in complex, real-world scenes direct the attention of high-functioning adults with autism",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -13011,20 +16023,28 @@ c5ddfc020a3d1a4cb5d83c725a683f54a7bf7f1d,The processing of dynamic faces in the c5ddfc020a3d1a4cb5d83c725a683f54a7bf7f1d,The processing of dynamic faces in the human brain : Support for an integrated neural framework of face processing,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, c55b0bcd8081999f265468f87f281959bfc786f7,Extraction and Classification of Human Gait Features,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, c55b0bcd8081999f265468f87f281959bfc786f7,Extraction and Classification of Human Gait Features,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, +c55b0bcd8081999f265468f87f281959bfc786f7,Extraction and Classification of Human Gait Features,Universiti Tunku Abdul Rahman,Universiti Tunku Abdul Rahman,"Jalan Universiti, Bandar Barat, 31900 Kampar, Negeri Perak, Malaysia",4.34006730,101.14297990,edu, c571a5273d09d5b63b9af6a8611f6ee8510f1c08,Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, c571a5273d09d5b63b9af6a8611f6ee8510f1c08,Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, c571a5273d09d5b63b9af6a8611f6ee8510f1c08,Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu, c51fb195bd9fe3b7d001179a3a39bb8252304f1b,A Survey of Advances in Biometric Gait Recognition,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +c5697c28272dc7e81c451a63495f229c740d597b,Intra-class retrieval of non-rigid 3 D objects : Application to Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +c55dcc587a53ff82cf3f79d84e7df67f4c8f77ed,TabletGaze: A Dataset and Baseline Algorithms for Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +c51e244be1728fd1abbd4b4bc58d2e555643ea50,Towards Autonomous Vehicles with Advanced Sensor Solutions,Finland,Finland,Finland,61.92411000,25.74815110,edu, +c51e244be1728fd1abbd4b4bc58d2e555643ea50,Towards Autonomous Vehicles with Advanced Sensor Solutions,Finland,Finland,Finland,61.92411000,25.74815110,edu, c5c1575565e04cd0afc57d7ac7f7a154c573b38f,Face Refinement through a Gradient Descent Alignment Approach,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, c5cad01443d4de135250d2784f0d070defd6120a,Large Graph Exploration via Subgraph Discovery and Decomposition,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, c5cad01443d4de135250d2784f0d070defd6120a,Large Graph Exploration via Subgraph Discovery and Decomposition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, c5cad01443d4de135250d2784f0d070defd6120a,Large Graph Exploration via Subgraph Discovery and Decomposition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, c5cad01443d4de135250d2784f0d070defd6120a,Large Graph Exploration via Subgraph Discovery and Decomposition,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, c5f71486c16add42c3394edb41b8c064b0123824,ULARIZED WITH A UNIFIED EMBEDDING,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, +c51fbd2574e488e486483e39702a3d7754cc769b,Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, c51fbd2574e488e486483e39702a3d7754cc769b,Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, c5ba4e0a8abadb68b3de135e3da522059a99b2cd,Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications,University of Padova,University of Padova,"Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy",45.40811720,11.89437860,edu,"University of Padova, Via Gradenigo, 6 - 35131- Padova, Italy" c56d05649805eb0429aaa8c0f9992247f6fbfbd1,Statistical Models of Appearance for Computer Vision 1,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, c5fcea39a6d3e0abdfcf15ff62cec0950813ed0a,Human Face Verification by Robust 3 D Surface Alignment By,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +c53a512b4d7dee0d8d0f3e5bf2c6ace7a00cbbae,"Content-Based Video Indexing and Retrieval using Key frames Texture , Edge and Motion Features",India,India,India,20.59368400,78.96288000,edu, +c53a512b4d7dee0d8d0f3e5bf2c6ace7a00cbbae,"Content-Based Video Indexing and Retrieval using Key frames Texture , Edge and Motion Features",India,India,India,20.59368400,78.96288000,edu, c5d13e42071813a0a9dd809d54268712eba7883f,Face recognition robust to head pose changes based on the RGB-D sensor,West Virginia University,West Virginia University,"88, Windsor Avenue, The Flatts, Morgantown, Monongalia County, West Virginia, 26505, USA",39.65404635,-79.96475355,edu, c5ab6895710b5eb7bb783456421dab70684c017c,Instance Segmentation and Object Detection with Bounding Shape Masks,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu, c5ab6895710b5eb7bb783456421dab70684c017c,Instance Segmentation and Object Detection with Bounding Shape Masks,Ajou University,Ajou University,"아주대학교, 성호대교, 이의동, 영통구, 수원시, 경기, 16499, 대한민국",37.28300030,127.04548469,edu, @@ -13033,13 +16053,18 @@ c5935b92bd23fd25cae20222c7c2abc9f4caa770,Spatiotemporal Multiplier Networks for c5935b92bd23fd25cae20222c7c2abc9f4caa770,Spatiotemporal Multiplier Networks for Video Action Recognition,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, c5cfeac36fd9fc35de7752cd2c63939920eb1eb3,Dictionary-Guided Editing Networks for Paraphrase Generation,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, c5cfeac36fd9fc35de7752cd2c63939920eb1eb3,Dictionary-Guided Editing Networks for Paraphrase Generation,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, +c5decf0a3906c85b6540e96c9c7003957c6d395b,Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction,Romania,Romania,Romania,45.94316100,24.96676000,edu, +c5c0cda46a77a7ea8c1f6d4d762b189ef424ffa4,Semantic 3 D Reconstruction of Heads,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, c57579b067c1a5f5b764344d3c7df227eeba9155,"People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting",Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, +c5a561c662fc2b195ff80d2655cc5a13a44ffd2d,Using Language to Learn Structured Appearance Models for Image Annotation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +c5a561c662fc2b195ff80d2655cc5a13a44ffd2d,Using Language to Learn Structured Appearance Models for Image Annotation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, c5f1ae9f46dc44624591db3d5e9f90a6a8391111,Application of non-negative and local non negative matrix factorization to facial expression recognition,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, c5421a18583f629b49ca20577022f201692c4f5d,Facial Age Classification using Subpattern-based Approaches,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, c5c4503a331b6fc09e01e66280a531bb9db0290d,Fast Bounding Box Estimation based Face Detection,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, c53352a4239568cc915ad968aff51c49924a3072,Transfer Representation-Learning for Anomaly Detection,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, c53352a4239568cc915ad968aff51c49924a3072,Transfer Representation-Learning for Anomaly Detection,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, c5b6b81a75f7ec3211473eb1ca58897a6537a085,Exploiting Best Practice of Deep CNNs Features for National Costume Image Retrieval,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, +c5b6b81a75f7ec3211473eb1ca58897a6537a085,Exploiting Best Practice of Deep CNNs Features for National Costume Image Retrieval,China,China,China,35.86166000,104.19539700,edu, c595863b90b904a7b3197667b62efa16b0fd5ff6,Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, c595863b90b904a7b3197667b62efa16b0fd5ff6,Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, c5be0feacec2860982fbbb4404cf98c654142489,Semi-Qualitative Probabilistic Networks in Computer Vision Problems,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, @@ -13051,8 +16076,12 @@ c5392bdc97e525403a38563ba19caef342879116,Multi-instance Dynamic Ordinal Random F c5392bdc97e525403a38563ba19caef342879116,Multi-instance Dynamic Ordinal Random Fields for Weakly-Supervised Pain Intensity Estimation,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base Construction.,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base Construction.,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, +c5637543e80f97c9ddab8b54a635cf71941e2786,Self-Calibrating View-Invariant Gait Biometrics,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +c5c6ec48ae98d86171360b19e3ec03738c712f53,Infinite Hidden Conditional Random Fields for Human Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +c5c6ec48ae98d86171360b19e3ec03738c712f53,Infinite Hidden Conditional Random Fields for Human Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1fd7e1f5dd4c514bfb3d77fceb454bc01de83ec8,HOLISTIC SHAPE-BASED OBJECT RECOGNITION USING BOTTOM-UP IMAGE STRUCTURES COPYRIGHT 2011,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 1fd7e1f5dd4c514bfb3d77fceb454bc01de83ec8,HOLISTIC SHAPE-BASED OBJECT RECOGNITION USING BOTTOM-UP IMAGE STRUCTURES COPYRIGHT 2011,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +1fbde67e87890e5d45864e66edb86136fbdbe20e,The Action Similarity Labeling Challenge,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1fc867b43092fe83c4e0bfa38a9a45ffaea86deb,Deep Speaker Embeddings for Short-Duration Speaker Verification,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 1fe59275142844ce3ade9e2aed900378dd025880,Facial Landmark Detection via Progressive Initialization Shengtao,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 1f1b4e91c6e6699a2191d1d62a0304870163e48e,Attention on Attention: Architectures for Visual Question Answering (VQA).,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -13063,11 +16092,13 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 1fed938f55a713664c53d65a655181c9c3124c7a,Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu, 1fed938f55a713664c53d65a655181c9c3124c7a,Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 1f8c851b73ccb36a88bea0392d1ace84a79f3d97,Video Inpainting by Jointly Learning Temporal Structure and Spatial Details.,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +1f41a96589c5b5cee4a55fc7c2ce33e1854b09d6,Demographic Estimation from Face Images: Human vs. Machine Performance,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1fd3dbb6e910708fa85c8a86e17ba0b6fef5617c,Age interval and gender prediction using PARAFAC 2 on speech recordings and face images,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 1f9102f425f28552e477cf71af0846550f3f9ed9,Incremental Domain Adaptation of Deformable Part-based Models,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu, 1f2497491ee465f299eaa8a769640cf4f084ee09,Crowd Counting via Adversarial Cross-Scale Consistency Pursuit,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, 1f61c1ba961c6328923f4c6219c6889ccb538506,"Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures","CSIRO, Australia","NICTA, PO Box 6020, St Lucia, QLD 4067, Australia","Research Way, Clayton VIC 3168, Australia",-37.90627370,145.13194490,edu,f.k.a. NICTA 1f61c1ba961c6328923f4c6219c6889ccb538506,"Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures",University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, +1ffe20eb32dbc4fa85ac7844178937bba97f4bf0,Face Clustering: Representation and Pairwise Constraints,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1fe990ca6df273de10583860933d106298655ec8,A Wavelet-Based Image Preprocessing Method or Illumination Insensitive Face Recognition,Hunan University,Hunan University,"Yejin University for Employees, 冶金西路, 和平乡, 珠晖区, 衡阳市 / Hengyang, 湖南省, 中国",26.88111275,112.62850666,edu, 1fa3948af1c338f9ae200038c45adadd2b39a3e4,Computational Explorations of Split Architecture in Modeling Face and Object Recognition,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 1fa3948af1c338f9ae200038c45adadd2b39a3e4,Computational Explorations of Split Architecture in Modeling Face and Object Recognition,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, @@ -13075,9 +16106,12 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 1fd5d08394a3278ef0a89639e9bfec7cb482e0bf,Exploring Disentangled Feature Representation Beyond Face Identification,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 1f4aa88107d7c4b91b1436b721b7630b93ce7d06,Deeply Learned Compositional Models for Human Pose Estimation,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, 1fc042874a22fad8bb34e09460c8b88bcd50fe66,Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised and Transferrable Knowledge,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, +1fc952fef09d63c61b9b8828f872b7a018eefac1,QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition,India,India,India,20.59368400,78.96288000,edu, 1fd6004345245daf101c98935387e6ef651cbb55,Learning Symmetry Features for Face Detection Based on Sparse Group Lasso,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +1f69fa423b076e19dc2ccf6bc9013f09ae39133c,Multimodal Dialogs (MMD): A large-scale dataset for studying multimodal domain-aware conversations,India,India,India,20.59368400,78.96288000,edu, 1f56d8442452c527140909d9f5b857b7eb7c997d,A Robust and Compact Descriptor Based on Center-Symmetric LBP,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 1fe1bd6b760e3059fff73d53a57ce3a6079adea1,Fast-BoW: Scaling Bag-of-Visual-Words Generation,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +1fe1bd6b760e3059fff73d53a57ce3a6079adea1,Fast-BoW: Scaling Bag-of-Visual-Words Generation,India,India,India,20.59368400,78.96288000,edu, 1f89439524e87a6514f4fbe7ed34bda4fd1ce286,Devising Face Authentication System and Performance Evaluation Based on Statistical Models,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1f89439524e87a6514f4fbe7ed34bda4fd1ce286,Devising Face Authentication System and Performance Evaluation Based on Statistical Models,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1f89439524e87a6514f4fbe7ed34bda4fd1ce286,Devising Face Authentication System and Performance Evaluation Based on Statistical Models,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -13086,40 +16120,54 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 1f27f9c0da385080f05f8cfaf0771e5aee6d9ab2,Towards Robust 3 D Face Verification using Gaussian Mixture Models Regular Paper,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 1fe0c5562c8dffecc0cadeef2c592bfa6e89b5ca,Illumination invariant face recognition based on neural network ensemble,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 1fe0c5562c8dffecc0cadeef2c592bfa6e89b5ca,Illumination invariant face recognition based on neural network ensemble,North Dakota State University,North Dakota State University,"North Dakota State University, 15th Avenue North, Fargo, Cass County, North Dakota, 58102, USA",46.89715500,-96.81827603,edu, +1f35f0400d6d112e3b27231d0d9241258efd782d,Learning to Rank Using High-Order Information,"IIIT Hyderabad, India","IIIT Hyderabad, India","DLF Building, Professor CR Rao Rd, Gachibowli, Hyderabad, Telangana 500032, India",17.44523580,78.34927650,edu, 1f8da6449cba22c351bf79b606fd17c6e5e758c2,Enhancing face recognition by image warping,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, 1f877687022f7b222c7ae1ec4ec21655a290220d,Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 1f877687022f7b222c7ae1ec4ec21655a290220d,Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 1f877687022f7b222c7ae1ec4ec21655a290220d,Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis,South China Normal University,South China Normal University,"华师, 五山路, 华南理工大学南新村, 天河区, 广州市, 广东省, 510630, 中国",23.14319700,113.34009651,edu, 1f03f21ba6c1bf66b025029b10d4bc9bd7f65a81,VISCERAL: towards large data in medical imaging -- challenges and directions,Vienna University of Technology,Vienna University of Technology,"TU Wien, Hauptgebäude, Hoftrakt, Freihausviertel, KG Wieden, Wieden, Wien, 1040, Österreich",48.19853965,16.36986168,edu, 1fe121925668743762ce9f6e157081e087171f4c,Unsupervised learning of overcomplete face descriptors,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +1fe74d637bc5e7d95abcd18b6967e51461fd8cdd,On the Dynamic Selection of Biometric Fusion Algorithms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1fe74d637bc5e7d95abcd18b6967e51461fd8cdd,On the Dynamic Selection of Biometric Fusion Algorithms,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1fdeba9c4064b449231eac95e610f3288801fd3e,Fine-Grained Head Pose Estimation Without Keypoints,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 1feeab271621128fe864e4c64bab9b2e2d0ed1f1,Perception-Link Behavior Model: Supporting a Novel Operator Interface for a Customizable Anthropomorphic Telepresence Robot,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +1f614a97e16671c091b1bcd1a33e1280822b53db,Tracking People's Hands and Feet Using Mixed Network AND/OR Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1f3370e2e6381408efe11e69ab12586bd6f74dc8,Report: Feature Selection Techniques for Classification,University of Verona,University of Verona,"Via S. Francesco, 22, 37129 Verona VR, Italy",45.43739800,11.00337600,edu, 1f7b2087dd0784a04ba4d2a68c2db9588f36c33a,Modeling Sub-Event Dynamics in First-Person Action Recognition,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 1f7b2087dd0784a04ba4d2a68c2db9588f36c33a,Modeling Sub-Event Dynamics in First-Person Action Recognition,National University of Sciences and Technology,National University of Sciences and Technology,"National University of Sciences and Technology (NUST), Kashmir Highway, جی - 10, ICT, وفاقی دارالحکومت اسلام آباد, 44000, ‏پاکستان‎",33.64434700,72.98850790,edu, 1f745215cda3a9f00a65166bd744e4ec35644b02,Facial cosmetics database and impact analysis on automatic face recognition,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, +1fef45786e707e6b9b8517b0403e596ecbdea6a5,Sketch-based manga retrieval using manga109 dataset,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1f5e9952cd225dc4677146ae0f9901f070d19cb7,3D-assisted Facial Texture Super-Resolution,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 1f05473c587e2a3b587f51eb808695a1c10bc153,Towards Good Practices for Very Deep Two-Stream ConvNets,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1f05473c587e2a3b587f51eb808695a1c10bc153,Towards Good Practices for Very Deep Two-Stream ConvNets,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +1f53ca209f982500069fed73efe2345358eff79e,Pedestrian Detection with Deep Convolutional Neural Network,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, 1f9e7b699cf2db3888a56ece481ed2f05c88520f,Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, -1fb54581120c38528984a657b1da6c24679dbea6,Actions and Attributes from Wholes and Parts,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +1fb54581120c38528984a657b1da6c24679dbea6,Actions and Attributes from Wholes and Parts,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 1f4b741a9da2fb7623ff68c8e1df3f3cce5e2542,Activity Recognition in Egocentric Life-Logging Videos,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, 1f4b741a9da2fb7623ff68c8e1df3f3cce5e2542,Activity Recognition in Egocentric Life-Logging Videos,Indian Institute of Science Bangalore,Indian Institute of Science Bangalore,"IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India",13.02223470,77.56718325,edu, 1f24cef78d1de5aa1eefaf344244dcd1972797e8,Outlier-Robust Tensor PCA,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 1f9b2f70c24a567207752989c5bd4907442a9d0f,Deep Representations to Model User 'Likes',Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 1f9b2f70c24a567207752989c5bd4907442a9d0f,Deep Representations to Model User 'Likes',"Institute for Infocomm Research, Singapore","Institute for Infocomm Research, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, +1fefe3ebd72a51d7883a16b8d5d3220589c9a738,Locality Constrained Joint Dynamic Sparse Representation for Local Matching Based Face Recognition,China,China,China,35.86166000,104.19539700,edu, +1fefe3ebd72a51d7883a16b8d5d3220589c9a738,Locality Constrained Joint Dynamic Sparse Representation for Local Matching Based Face Recognition,China,China,China,35.86166000,104.19539700,edu, 1fefe3ebd72a51d7883a16b8d5d3220589c9a738,Locality Constrained Joint Dynamic Sparse Representation for Local Matching Based Face Recognition,Normal University,Normal University,"云南师范大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05805090,102.69552410,edu, +1fefe3ebd72a51d7883a16b8d5d3220589c9a738,Locality Constrained Joint Dynamic Sparse Representation for Local Matching Based Face Recognition,China,China,China,35.86166000,104.19539700,edu, 1f527b5406356018e6dc401a4be8098a5a451891,Multiple Vehicle-like Target Tracking Based on the Velodyne LiDAR ?,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 1f527b5406356018e6dc401a4be8098a5a451891,Multiple Vehicle-like Target Tracking Based on the Velodyne LiDAR ?,Shenzhen University,Shenzhen University,"深圳大学, 3688, 南海大道, 蛇口, 同乐村, 南山区, 深圳市, 广东省, 518060, 中国",22.53521465,113.93159110,edu, 1f527b5406356018e6dc401a4be8098a5a451891,Multiple Vehicle-like Target Tracking Based on the Velodyne LiDAR ?,Jacobs University,Jacobs University,"Liverpool Hope University, Shaw Street, Everton, Liverpool, North West England, England, L6 1HP, UK",53.41291480,-2.96897915,edu, 4d8da08fb2af86ff8974e6e2108c27d152b94072,Integration of computational methods and visual analytics for large-scale high-dimensional data,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 4dd00e37f4129b0c62e111906fd8b239520c08e9,Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +4dd00e37f4129b0c62e111906fd8b239520c08e9,Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 4dd00e37f4129b0c62e111906fd8b239520c08e9,Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 4dc8814e44dbd2b02f61fcdaec48d053a6f97537,Deep CNNs with Robust LBP Guiding Pooling for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4dc8814e44dbd2b02f61fcdaec48d053a6f97537,Deep CNNs with Robust LBP Guiding Pooling for Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +4dd72cdafead8a98dbc77a1a74bd66ffb90d3e01,Virtual and Real World Adaptation for Pedestrian Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4db6456b6933d0ae60bd1d7bb7ae01cea2ca9a9d,Deep Learning in Information Security,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, 4db6456b6933d0ae60bd1d7bb7ae01cea2ca9a9d,Deep Learning in Information Security,TU Eindhoven,TU Eindhoven,"Technische Universiteit Eindhoven, 2, De Rondom, Villapark, Eindhoven, Noord-Brabant, Nederland, 5600 MB, Nederland",51.44866020,5.49039957,edu, 4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0,Unsupervised Cross-Dataset Transfer Learning for Person Re-identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0,Unsupervised Cross-Dataset Transfer Learning for Person Re-identification,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0,Unsupervised Cross-Dataset Transfer Learning for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, +4d6e98fb5fcb7b5983f615a45ac1d81d1b570ca0,Unsupervised Cross-Dataset Transfer Learning for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, 4d9c02567e7b9e065108eb83ea3f03fcff880462,Towards Facial Expression Recognition in the Wild: A New Database and Deep Recognition System,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 4d3c4c3fe8742821242368e87cd72da0bd7d3783,Hybrid Deep Learning for Face Verification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 4d3c4c3fe8742821242368e87cd72da0bd7d3783,Hybrid Deep Learning for Face Verification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -13129,19 +16177,25 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 4db0968270f4e7b3fa73e41c50d13d48e20687be,Fashion Forward: Forecasting Visual Style in Fashion,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 4db0968270f4e7b3fa73e41c50d13d48e20687be,Fashion Forward: Forecasting Visual Style in Fashion,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 4d39bff41d69bb24f02e66fb5eca244a1d9afe7b,Float Cascade Method for Pedestrian Detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +4d39bff41d69bb24f02e66fb5eca244a1d9afe7b,Float Cascade Method for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu, 4d39bff41d69bb24f02e66fb5eca244a1d9afe7b,Float Cascade Method for Pedestrian Detection,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, 4d39bff41d69bb24f02e66fb5eca244a1d9afe7b,Float Cascade Method for Pedestrian Detection,Anhui University,Anhui University,"安徽大学(磬苑校区), 111, 九龙路, 弘泰苑, 合肥国家级经济技术开发区, 芙蓉社区, 合肥经济技术开发区, 合肥市区, 合肥市, 安徽省, 230601, 中国",31.76909325,117.17795091,edu, +4d39bff41d69bb24f02e66fb5eca244a1d9afe7b,Float Cascade Method for Pedestrian Detection,China,China,China,35.86166000,104.19539700,edu, 4d7b66a123135d37689005816aa15ab31167b6d3,Evaluation of the Impetuses of Scan Path in Real Scene Searching,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4dcc09fc3718721b41460dda559c1c6f507287b7,A Comprehensive Study on Upper-Body Detection with Deep Neural Networks,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, +4dcc09fc3718721b41460dda559c1c6f507287b7,A Comprehensive Study on Upper-Body Detection with Deep Neural Networks,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 4dcc09fc3718721b41460dda559c1c6f507287b7,A Comprehensive Study on Upper-Body Detection with Deep Neural Networks,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, +4dcc09fc3718721b41460dda559c1c6f507287b7,A Comprehensive Study on Upper-Body Detection with Deep Neural Networks,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 4d8ce7669d0346f63b20393ffaa438493e7adfec,Similarity Features for Facial Event Analysis,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 4d8ce7669d0346f63b20393ffaa438493e7adfec,Similarity Features for Facial Event Analysis,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +4d8ce7669d0346f63b20393ffaa438493e7adfec,Similarity Features for Facial Event Analysis,China,China,China,35.86166000,104.19539700,edu, 4d58f886f5150b2d5e48fd1b5a49e09799bf895d,Texas 3D Face Recognition Database,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 4d15254f6f31356963cc70319ce416d28d8924a3,Quo vadis Face Recognition ?,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 4d15254f6f31356963cc70319ce416d28d8924a3,Quo vadis Face Recognition ?,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4d15254f6f31356963cc70319ce416d28d8924a3,Quo vadis Face Recognition ?,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 4d9c64750ef4565dc47cec0c513458b53dd5c9a7,Detection and Analysis Methods for unmanned aerial Vehicle Images,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, 4d9c64750ef4565dc47cec0c513458b53dd5c9a7,Detection and Analysis Methods for unmanned aerial Vehicle Images,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +4d510bca00b625f86606cb0096299b993090534a,Small Sample Learning in Big Data Era,China,China,China,35.86166000,104.19539700,edu, 4dd2be07b4f0393995b57196f8fc79d666b3aec5,Sparse localized facial motion dictionary learning for facial expression recognition,Yeungnam University,Yeungnam University,"영남대, 대학로, 부적리, 경산시, 경북, 712-749, 대한민국",35.83654030,128.75343090,edu, 4d16337cc0431cd43043dfef839ce5f0717c3483,A Scalable and Privacy-Aware IoT Service for Live Video Analytics,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4d16337cc0431cd43043dfef839ce5f0717c3483,A Scalable and Privacy-Aware IoT Service for Live Video Analytics,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -13149,6 +16203,7 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 4d16337cc0431cd43043dfef839ce5f0717c3483,A Scalable and Privacy-Aware IoT Service for Live Video Analytics,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4d16337cc0431cd43043dfef839ce5f0717c3483,A Scalable and Privacy-Aware IoT Service for Live Video Analytics,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4d0e64da142299039841660ea03f24575174afa8,Deformation Analysis for 3D Face Matching,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +4d9d25e67ebabbfc0acd63798f1a260cb2c8a9bd,Playing for Data: Ground Truth from Computer Games,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 4da21844c20980c64bc0303ad887ab10758a4258,Euler Sparse Representation for Image Classification,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 4da21844c20980c64bc0303ad887ab10758a4258,Euler Sparse Representation for Image Classification,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, 4d803109f3d9cca7c514db21a0494972d5681faa,Attribute Adaptation for Personalized Image Search,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, @@ -13159,16 +16214,19 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 4dc056cfe5d06cb9e4cbf60ef5044f956ab92b91,Investigating Gait Recognition in the Short-Wave Infrared ( SWIR ) Spectrum : Dataset and Challenges,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 4d925db7c9e3cca2e8fed644f750d218a48cd081,Automatic Concept Discovery from Parallel Text and Visual Corpora,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 4d1e46b1dcec1c9cbc4e7ff80dbf73e5e7ebcd67,WebCaricature: a benchmark for caricature recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +4d1e46b1dcec1c9cbc4e7ff80dbf73e5e7ebcd67,WebCaricature: a benchmark for caricature recognition,China,China,China,35.86166000,104.19539700,edu, 4d1e46b1dcec1c9cbc4e7ff80dbf73e5e7ebcd67,WebCaricature: a benchmark for caricature recognition,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, 4d267098356dc4cfcd3f5aefcc26588ffb23b8dc,Smart hashing update for fast response,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 4d1757aacbc49c74a5d4e53259c92ab0e47544da,Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +4df34e0194faa27078832cb5078a2af6c9d0ea9b,Saliency Prediction in the Deep Learning Era: An Empirical Investigation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4dab9b254f31ff72e1a32651b2bfe337d3d8fd5b,A Structured Model For Action Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 4d62d302f7c2ee8a9bf53ddeda881d686bcc9fe4,"Snap Decisions?: How Users, Content, and Aesthetics Interact to Shape Photo Sharing Behaviors",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 4dcd40005726e66a0e4ed33635b38bb8107a671a,Tasting families of features for image classification,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, -4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +4dff129a6f988d78c457ece463b774c3d81ac5c7,Emotion recognition in the wild from videos using images,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +4d4b1aa87af8bfd65ac7bc250bba5951aed40986,A Survey on Model Based Approaches for 2D and 3D Visual Human Pose Recovery,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 4da5f0c1d07725a06c6b4a2646e31ea3a5f14435,End-to-End Training of Hybrid CNN-CRF Models for Semantic Segmentation using Structured Learning,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 4d1aaf1027231979bb0cad6dc3e31e01925970cc,The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 4d6462fb78db88afff44561d06dd52227190689c,Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, @@ -13192,12 +16250,14 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 12679cdcb4bc5e9c60a795c2418b40b5e1681652,Volterrafaces: Discriminant analysis using Volterra kernels,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 129d0e22d6b847c8002fd2c70bb508cdf3286fb8,"Investigating Audio, Visual, and Text Fusion Methods for End-to-End Automatic Personality Prediction",Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, 120c85cf69ea656b02262b4bc5761117fe35674e,Learning Exemplar-Represented Manifolds in Latent Space for Classification,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +120c85cf69ea656b02262b4bc5761117fe35674e,Learning Exemplar-Represented Manifolds in Latent Space for Classification,China,China,China,35.86166000,104.19539700,edu, 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,University of Nebraska - Lincoln,University of Nebraska - Lincoln,"Sheldon Museum of Art, North 12th Street, West Lincoln, Lincoln, Lancaster County, Nebraska, 68588-0300, USA",40.81747230,-96.70444680,edu, 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 1297ee7a41aa4e8499c7ddb3b1fed783eba19056,Effects of emotional expressions on persuasion,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +129a6daa54a7334930b6413875b6154acef3922a,Data-Driven Synthesis of Cartoon Faces Using Different Styles,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 127b17fdd8860605680cfd053398fa95d12ccc03,Visual Question Generation as Dual Task of Visual Question Answering,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 127b17fdd8860605680cfd053398fa95d12ccc03,Visual Question Generation as Dual Task of Visual Question Answering,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, 127b17fdd8860605680cfd053398fa95d12ccc03,Visual Question Generation as Dual Task of Visual Question Answering,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -13210,8 +16270,10 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 124538b3db791e30e1b62f81d4101be435ee12ef,"Basic level scene understanding: categories, attributes and structures",MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 124538b3db791e30e1b62f81d4101be435ee12ef,"Basic level scene understanding: categories, attributes and structures",Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 1275d6a800f8cf93c092603175fdad362b69c191,Deep Face Recognition: A Survey,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +123bc74a006a75fefcdd9995cbdc1c6c64c8bed6,Socially Constrained Structural Learning for Groups Detection in Crowd,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 121503705689f46546cade78ff62963574b4750b,We Don’t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 12fa75f90b0dcf254c33145fe08e7ce0f099066a,Active Learning with Cross-Class Knowledge Transfer,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +120e7a0e9e7bd0eaa248f04cf393a735832a5044,The Analysis of Local Motion and Deformation in Image Sequences Inspired by Physical Electromagnetic Interaction,China,China,China,35.86166000,104.19539700,edu, 122f51cee489ba4da5ab65064457fbe104713526,Long Short Term Memory Recurrent Neural Network based Multimodal Dimensional Emotion Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 122f51cee489ba4da5ab65064457fbe104713526,Long Short Term Memory Recurrent Neural Network based Multimodal Dimensional Emotion Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 122f51cee489ba4da5ab65064457fbe104713526,Long Short Term Memory Recurrent Neural Network based Multimodal Dimensional Emotion Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -13221,29 +16283,38 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 12dcb25f10d42ad2b4352ba9fe7a6a32ee2635a6,The Automatic Scientist will be a Data System,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 12af8628e590b3da288d7f5ef0ac85676b8a7fa1,Principal Curvature-Based Region Detector for Object Recognition,Oregon State University,Oregon State University,"OSU Beaver Store, 538, Southwest 6th Avenue, Portland Downtown, Portland, Multnomah County, Oregon, 97204, USA",45.51982890,-122.67797964,edu, 12af8628e590b3da288d7f5ef0ac85676b8a7fa1,Principal Curvature-Based Region Detector for Object Recognition,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +12c548d99fdc59bd702910af2c3daa17ed43e5d7,Performance analysis of different matrix decomposition methods on face recognition,India,India,India,20.59368400,78.96288000,edu, +12c548d99fdc59bd702910af2c3daa17ed43e5d7,Performance analysis of different matrix decomposition methods on face recognition,India,India,India,20.59368400,78.96288000,edu, +12c548d99fdc59bd702910af2c3daa17ed43e5d7,Performance analysis of different matrix decomposition methods on face recognition,India,India,India,20.59368400,78.96288000,edu, 128f697ef28dfea6be140ae457cd6b74c6d89bf2,An Optimal Score Fusion Strategy For a Multimodal Biometric Authentication System for Mobile Device,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, 128f697ef28dfea6be140ae457cd6b74c6d89bf2,An Optimal Score Fusion Strategy For a Multimodal Biometric Authentication System for Mobile Device,University of Windsor,University of Windsor,"Bridge AA, Ambassador Bridge, Windsor, Essex, Ontario, N9C 2J9, Canada",42.30791465,-83.07176915,edu, 124f6992202777c09169343d191c254592e4428c,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 124f6992202777c09169343d191c254592e4428c,Visual Psychophysics for Making Face Recognition Algorithms More Explainable,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 12847a91be77db332944fa45b7e379b89e135e27,Bird Species Classification using Transfer Learning with Multistage Training,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +12847a91be77db332944fa45b7e379b89e135e27,Bird Species Classification using Transfer Learning with Multistage Training,India,India,India,20.59368400,78.96288000,edu, 1270044a3fa1a469ec2f4f3bd364754f58a1cb56,Video-Based Face Recognition Using Probabilistic Appearance Manifolds,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 126214ef0dcef2b456cb413905fa13160c73ec8e,Modelling human perception of static facial expressions,University of Siena,University of Siena,"大學 University, 澤祥街 Chak Cheung Street, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.41338620,114.21005800,edu, 12c6f3ae8f20a1473a89b9cbb82d0f02275ea62b,Hand detection using multiple proposals,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 12c6f3ae8f20a1473a89b9cbb82d0f02275ea62b,Hand detection using multiple proposals,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, 126535430845361cd7a3a6f317797fe6e53f5a3b,Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 126535430845361cd7a3a6f317797fe6e53f5a3b,Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +12055b8f82d5411f9ad196b60698d76fbd07ac1e,Multiview Facial Landmark Localization in RGB-D Images via Hierarchical Regression With Binary Patterns,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 12e5ff3d6771d725f09bb0b2f14d17a64d4c1c25,The fear gasping face as a threat display in a Melanesian society.,Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu, 12e5ff3d6771d725f09bb0b2f14d17a64d4c1c25,The fear gasping face as a threat display in a Melanesian society.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, +12e5ff3d6771d725f09bb0b2f14d17a64d4c1c25,The fear gasping face as a threat display in a Melanesian society.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 1255afbf86423c171349e874b3ac297de19f00cd,Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, 126848747d6af541c5934ec95997decf33c28ea7,Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 126848747d6af541c5934ec95997decf33c28ea7,Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 126848747d6af541c5934ec95997decf33c28ea7,Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, +12d0c11d546d91e776a170898ebf3a38c010695c,Semi-Supervised Hashing for Large-Scale Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1260950b06b68b2be42ba54112f5856044e25652,Tracking pedestrians with bacterial foraging optimization swarms,"University of California, Riverside","University of California, Riverside","University of California, Riverside, Linden Street, Riverside, Riverside County, California, 92521, USA",33.98071305,-117.33261035,edu, +12727bb8a4a1462553a13a253a97c2569cbcba0a,Study on Different Representation Methods for Subspace Segmentation,China,China,China,35.86166000,104.19539700,edu, 12ccfc188de0b40c84d6a427999239c6a379cd66,Sparse Adversarial Perturbations for Videos,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 12bce6e2db10faa4f370f9e40a6084296080b5cb,Learning to rank in person re-identification with metric ensembles,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 12169222eeee058578629e5097f250c3992530b1,Boosting relative spaces for categorizing objects with large intra-class variation,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 12169ff906633e486599660ebf77dd73060640b9,Multi-stage Contextual Deep Learning for Pedestrian Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1235dd37312cb20aced0e97d953f6379d8a0c7d4,Grounded Textual Entailment,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, +124476c2815bbfb523c77943c74356f94f79b580,Recognition of Faces in Unconstrained Environments: A Comparative Study,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 121fe33daf55758219e53249cf8bcb0eb2b4db4b,An Empirical Camera Model for Internet Color Vision,Middlebury College,Middlebury College,"Middlebury College, Old Chapel Road, Middlebury, Addison County, Vermont, 05753, USA",44.00907770,-73.17679460,edu, 12811f1dc14c9377903d4c814e112071118071a5,I Have Seen Enough: Transferring Parts Across Categories,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 12f2325789febc95c9b453d12194bf4a778e60bd,Semantic Video Segmentation: A Review on Recent Approaches,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, @@ -13268,6 +16339,7 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 120bcc9879d953de7b2ecfbcd301f72f3a96fb87,Report on the FG 2015 Video Person Recognition Evaluation,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 120bcc9879d953de7b2ecfbcd301f72f3a96fb87,Report on the FG 2015 Video Person Recognition Evaluation,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 120bcc9879d953de7b2ecfbcd301f72f3a96fb87,Report on the FG 2015 Video Person Recognition Evaluation,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, +120b22e7a47923e42a123b9b68a93ccac5aaea6d,Paper on Ear Biometric Authentication,India,India,India,20.59368400,78.96288000,edu, 12095f9b35ee88272dd5abc2d942a4f55804b31e,DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild Rıza,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 12095f9b35ee88272dd5abc2d942a4f55804b31e,DenseReg : Fully Convolutional Dense Shape Regression Inthe-Wild Rıza,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 12441a74e709ddab53f9039cf507491df7b3840a,SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, @@ -13276,6 +16348,7 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 12441a74e709ddab53f9039cf507491df7b3840a,SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, 12441a74e709ddab53f9039cf507491df7b3840a,SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 12441a74e709ddab53f9039cf507491df7b3840a,SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +12d813f14166578dea8aa6aacc945102dddfd05d,Fog Computing in 5 G Networks : An Application Perspective,India,India,India,20.59368400,78.96288000,edu, 124d43c5f76e70ec1f9eac62ef48f1dc2b547c04,Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 12336e7d5d2ca4e1fdd2a52d50b2a5c987c08b0b,Assessing tracking assessment measures,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 12c2f7cee1f6abff0d4de9b4b90caa3b5c6084a0,Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, @@ -13291,11 +16364,16 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 285f0885385d6214363bb986ad23bcfd3abe84f6,RepMet: Representative-based metric learning for classification and one-shot object detection,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 285f0885385d6214363bb986ad23bcfd3abe84f6,RepMet: Representative-based metric learning for classification and one-shot object detection,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, 289d833a35c2156b7e332e67d1cb099fd0683025,HICO: A Benchmark for Recognizing Human-Object Interactions in Images,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +280d45fb813e75622b7c584ee7fba70066245871,Visual Tracking with Online Incremental Deep Learning and Particle Filter,China,China,China,35.86166000,104.19539700,edu, +280d45fb813e75622b7c584ee7fba70066245871,Visual Tracking with Online Incremental Deep Learning and Particle Filter,China,China,China,35.86166000,104.19539700,edu, +280d45fb813e75622b7c584ee7fba70066245871,Visual Tracking with Online Incremental Deep Learning and Particle Filter,China,China,China,35.86166000,104.19539700,edu, 280895aa15bc8308f919d4cad666e826e82608f4,Curious George: An Integrated Visual Search Platform,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 280895aa15bc8308f919d4cad666e826e82608f4,Curious George: An Integrated Visual Search Platform,Kingston University,Kingston University,"Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK",51.42930860,-0.26840440,edu, 28de411a5b3eb8411e7bcb0003c426aa91f33e97,Emotion Detection Using Facial Expressions-A Review,Kurukshetra University,Kurukshetra University,"Kurukshetra University, SH6, Kurukshetra, Haryana, 132118, India",29.95826275,76.81563045,edu, 28de411a5b3eb8411e7bcb0003c426aa91f33e97,Emotion Detection Using Facial Expressions-A Review,Kurukshetra University,Kurukshetra University,"Kurukshetra University, SH6, Kurukshetra, Haryana, 132118, India",29.95826275,76.81563045,edu, 28c4103d1e27b4312115d3a6baacf3afbba01a55,Learning by Asking Questions,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +288bddfabe739b32721df62d821632e3dafed06a,Robust multi-image based blind face hallucination,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +28b5b5f20ad584e560cd9fb4d81b0a22279b2e7b,A New Fuzzy Stacked Generalization Technique and Analysis of its Performance,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 282503fa0285240ef42b5b4c74ae0590fe169211,Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 282503fa0285240ef42b5b4c74ae0590fe169211,Feeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 286e4e6b0360c06f659d351ac885aafb62a6b73d,Gait Verification Using Probabilistic Methods,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, @@ -13309,12 +16387,15 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 2829288498cf03d87301f12a5bebf7f9faca0884,Face recognition using OPRA-faces,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, 286f443fa85bc9d892ab54878c0ace0264d0dcff,Principled Parallel Mean-Field Inference for Discrete Random Fields,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 28df3f11894ce0c48dd8aee65a6ec76d9009cbbd,Recurrent Flow-Guided Semantic Forecasting,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, -28bdaf9b7fc5af73482e324d45acf91722f07340,Joint Object and Part Segmentation Using Deep Learned Potentials,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +28bdaf9b7fc5af73482e324d45acf91722f07340,Joint Object and Part Segmentation Using Deep Learned Potentials,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 28226aedf1972af2008509cf3d1e7c6646c77f7b,Nuclear-L1 Norm Joint Regression for Face Reconstruction and Recognition,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +285faa4cc54ef9b1834128705e0f96ad17b61e0b,SIFT Flow: Dense Correspondence across Scenes and Its Applications,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 2874e3b4bde2203129773f1a7baf78f0710c490e,Selective Deep Convolutional Features for Image Retrieval,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, 2874e3b4bde2203129773f1a7baf78f0710c490e,Selective Deep Convolutional Features for Image Retrieval,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 2874e3b4bde2203129773f1a7baf78f0710c490e,Selective Deep Convolutional Features for Image Retrieval,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, 2874e3b4bde2203129773f1a7baf78f0710c490e,Selective Deep Convolutional Features for Image Retrieval,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, +28fe6e785b32afdcd2c366c9240a661091b850cf,Facial Expression Recognition using Patch based Gabor Features,India,India,India,20.59368400,78.96288000,edu, +28fe6e785b32afdcd2c366c9240a661091b850cf,Facial Expression Recognition using Patch based Gabor Features,India,India,India,20.59368400,78.96288000,edu, 28af188e26836934c9beea8b2bc8cd53447197fa,Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 28af188e26836934c9beea8b2bc8cd53447197fa,Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 28b8d20162f007eab1acd9d7cdb8baac914de820,Unlimited Road-scene Synthetic Annotation (URSA) Dataset,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, @@ -13323,9 +16404,14 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 286adff6eff2f53e84fe5b4d4eb25837b46cae23,Single-Image Depth Perception in the Wild,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 28858a6e956d712331986b31d1646d6b497ff1a9,Independent Neural Computation of Value from Other People's Confidence.,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 28858a6e956d712331986b31d1646d6b497ff1a9,Independent Neural Computation of Value from Other People's Confidence.,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, +28858a6e956d712331986b31d1646d6b497ff1a9,Independent Neural Computation of Value from Other People's Confidence.,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +28744ee615d343e7372f3bd5006b7822c66261f6,Imagination Based Sample Construction for Zero-Shot Learning,China,China,China,35.86166000,104.19539700,edu, +28744ee615d343e7372f3bd5006b7822c66261f6,Imagination Based Sample Construction for Zero-Shot Learning,China,China,China,35.86166000,104.19539700,edu, +28744ee615d343e7372f3bd5006b7822c66261f6,Imagination Based Sample Construction for Zero-Shot Learning,China,China,China,35.86166000,104.19539700,edu, 28e1668d7b61ce21bf306009a62b06593f1819e3,"Correction: Validation of the Amsterdam Dynamic Facial Expression Set – Bath Intensity Variations (ADFES-BIV): A Set of Videos Expressing Low, Intermediate, and High Intensity Emotions",University of Bath,University of Bath,"University of Bath, Convocation Avenue, Claverton Down, Bath, Bath and North East Somerset, South West England, England, BA2 7PA, UK",51.37914420,-2.32523320,edu, 28dac6b73df69f35b11f8f10ef023674a2f39af5,Deep Learning of Graph Matching,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, 286b5b80bc76dbb63094a85951bb8e8895ee9f14,TriKon: A hypervisor aware manycore processor,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +286b5b80bc76dbb63094a85951bb8e8895ee9f14,TriKon: A hypervisor aware manycore processor,India,India,India,20.59368400,78.96288000,edu, 28ff4c98b7a922f4502c69003f686fe0f94083a6,On the regularization of image semantics by modal expansion,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 288964068cd87d97a98b8bc927d6e0d2349458a2,Mean-Variance Loss for Deep Age Estimation from a Face,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 288964068cd87d97a98b8bc927d6e0d2349458a2,Mean-Variance Loss for Deep Age Estimation from a Face,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, @@ -13340,12 +16426,15 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 28f5138d63e4acafca49a94ae1dc44f7e9d84827,MahNMF: Manhattan Non-negative Matrix Factorization,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 28f5138d63e4acafca49a94ae1dc44f7e9d84827,MahNMF: Manhattan Non-negative Matrix Factorization,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 28f5138d63e4acafca49a94ae1dc44f7e9d84827,MahNMF: Manhattan Non-negative Matrix Factorization,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, +28f5138d63e4acafca49a94ae1dc44f7e9d84827,MahNMF: Manhattan Non-negative Matrix Factorization,China,China,China,35.86166000,104.19539700,edu, 28f5138d63e4acafca49a94ae1dc44f7e9d84827,MahNMF: Manhattan Non-negative Matrix Factorization,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 28bf62416b5b0f3ca87332b83c3944f515505f66,Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 28bf62416b5b0f3ca87332b83c3944f515505f66,Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 28bf62416b5b0f3ca87332b83c3944f515505f66,Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 288d2704205d9ca68660b9f3a8fda17e18329c13,Studying Very Low Resolution Recognition Using Deep Networks,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, 2862615e5767a8a81257138f04de6c5bd33e2984,Egocentric Future Localization,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, +28a3673e57839ab75fe1c05ce2a4c1a00a7efe76,Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework,China,China,China,35.86166000,104.19539700,edu, +28a3673e57839ab75fe1c05ce2a4c1a00a7efe76,Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework,China,China,China,35.86166000,104.19539700,edu, 2836d68c86f29bb87537ea6066d508fde838ad71,Personalized Age Progression with Aging Dictionary,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 2836d68c86f29bb87537ea6066d508fde838ad71,Personalized Age Progression with Aging Dictionary,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 280d632ef3234c5ab06018c6eaccead75bc173b3,Efficient Image and Video Co-localization with Frank-Wolfe Algorithm,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -13382,6 +16471,7 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 164300823f284b4fa8fc923fa89c8c13672632be,Reverse engineering the face space: Discovering the critical features for face identification.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 164300823f284b4fa8fc923fa89c8c13672632be,Reverse engineering the face space: Discovering the critical features for face identification.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, 164300823f284b4fa8fc923fa89c8c13672632be,Reverse engineering the face space: Discovering the critical features for face identification.,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, +162403e189d1b8463952fa4f18a291241275c354,Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 16d3954f0418bd9a2ac20a2be6db93d49213c680,CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 16d3954f0418bd9a2ac20a2be6db93d49213c680,CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 162dfd0d2c9f3621d600e8a3790745395ab25ebc,Head Pose Estimation Based on Multivariate Label Distribution,Southeast University,Southeast University,"SEU, 体育馆路, 新街口, 月季园, 玄武区, 南京市, 江苏省, 210008, 中国",32.05752790,118.78682252,edu, @@ -13389,29 +16479,38 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 16e95a907b016951da7c9327927bb039534151da,3D Face Recognition Using Spherical Vector Norms Map,Beijing Union University,Beijing Union University,"北京联合大学, 北四环东路, 飘亮阳光广场, 太阳宫乡, 朝阳区 / Chaoyang, 北京市, 100012, 中国",39.98900680,116.42067718,edu, 16e95a907b016951da7c9327927bb039534151da,3D Face Recognition Using Spherical Vector Norms Map,Beijing Union University,Beijing Union University,"北京联合大学, 北四环东路, 飘亮阳光广场, 太阳宫乡, 朝阳区 / Chaoyang, 北京市, 100012, 中国",39.98900680,116.42067718,edu, 16e95a907b016951da7c9327927bb039534151da,3D Face Recognition Using Spherical Vector Norms Map,Capital Normal University,Capital Normal University,"首都师范大学, 岭南路, 西冉村, 海淀区, 100048, 中国",39.92864575,116.30104052,edu, +16d1e29b588fd26f5f0ac8038110f7b8500a1ec9,$L_0$ Regularized Stationary-Time Estimation for Crowd Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 16161051ee13dd3d836a39a280df822bf6442c84,Learning Efficient Object Detection Models with Knowledge Distillation,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 16161051ee13dd3d836a39a280df822bf6442c84,Learning Efficient Object Detection Models with Knowledge Distillation,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, 1659a8b91c3f428f1ba6aeba69660f2c9d0a85c6,Recent developments in social signal processing,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 1659a8b91c3f428f1ba6aeba69660f2c9d0a85c6,Recent developments in social signal processing,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 1659a8b91c3f428f1ba6aeba69660f2c9d0a85c6,Recent developments in social signal processing,University of Glasgow,University of Glasgow,"University of Glasgow, University Avenue, Yorkhill, Hillhead, Glasgow, Glasgow City, Scotland, G, UK",55.87231535,-4.28921784,edu, 16c3f99f8f48d4ccb71b782f79601d5efeab8461,Pedestrian Detection Based on Informed Haar-like Features and Switchable Deep Network,Anhui Polytechnic University,Anhui Polytechnic University,"安徽工程大学, 鸠江北路, 芜湖市, 芜湖市区, 芜湖市 / Wuhu, 安徽省, 241000, 中国",31.34185955,118.40739712,edu, +16bd796687ca17ac7ca28d28d856b324186628ba,Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +16bd796687ca17ac7ca28d28d856b324186628ba,Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1687d0120e937d5efe2022cbeab19b38edba0608,A 2 A : Attention to Attention Reasoning for Movie Question Answering,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 1687d0120e937d5efe2022cbeab19b38edba0608,A 2 A : Attention to Attention Reasoning for Movie Question Answering,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 166d069ea056fbb42b10ca660956fee881e6c875,Inverse Rendering with a Morphable Model: A Multilinear Approach,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, -16f341786f7fa8b117e8812a58742771c089e68f,Reducing Overfitting in Deep Networks by Decorrelating Representations,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +16f341786f7fa8b117e8812a58742771c089e68f,Reducing Overfitting in Deep Networks by Decorrelating Representations,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +166f42f66c5e6dd959548acfb97dc77a36013639,Bilevel Model-Based Discriminative Dictionary Learning for Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1648cf24c042122af2f429641ba9599a2187d605,Boosting cross-age face verification via generative age normalization,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, 164b0e2a03a5a402f66c497e6c327edf20f8827b,Sparse Deep Transfer Learning for Convolutional Neural Network,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 164b0e2a03a5a402f66c497e6c327edf20f8827b,Sparse Deep Transfer Learning for Convolutional Neural Network,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 16dd9ea784a862c45d1d2af6d2fb83198f567719,Human Pose Estimation with Parsing Induced Learner,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 16dd9ea784a862c45d1d2af6d2fb83198f567719,Human Pose Estimation with Parsing Induced Learner,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +16dd9ea784a862c45d1d2af6d2fb83198f567719,Human Pose Estimation with Parsing Induced Learner,China,China,China,35.86166000,104.19539700,edu, 16701e3cbd43b52e32d567649a194245dcd31829,Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 1633c30909f4f3d91ea4256c76c71abf62a52bd8,DEEP FEATURE LEARNING FOR HYPERSPECTRAL IMAGE CLASSIFICATION AND LAND COVER ESTIMATION,University of Crete,University of Crete,"House of Europe, Μακεδονίας, Ρέθυμνο, Δήμος Ρεθύμνης, Περιφερειακή Ενότητα Ρεθύμνου, Περιφέρεια Κρήτης, Κρήτη, 930100, Ελλάδα",35.37130240,24.47544080,edu, 162065fb9de1928f7abd593ee9a1b7d41b5a4310,A sparse object category model for efficient learning and exhaustive recognition,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 162065fb9de1928f7abd593ee9a1b7d41b5a4310,A sparse object category model for efficient learning and exhaustive recognition,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, +16fdc3829dc8322a26eac46e93703000005f3d6d,An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes,India,India,India,20.59368400,78.96288000,edu, +16fdc3829dc8322a26eac46e93703000005f3d6d,An occlusion reasoning scheme for monocular pedestrian tracking in dynamic scenes,India,India,India,20.59368400,78.96288000,edu, 16c7c31a7553d99f1837fc6e88e77b5ccbb346b8,Person Re-identification by Descriptive and Discriminative Classification,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 16d03786b5d44a29e66f6e0472b8e7ac42e127f0,Object class recognition by boosting a part-based model,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, 16eb964a5a0f5fa3692440f07dd60b23354f5f58,Observing the Natural World with Flickr,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, +169927e68301d881da6585dd09e1bc9a88adf147,AV@CAR: A Spanish Multichannel Multimodal Corpus for In-Vehicle Automatic Audio-Visual Speech Recognition,University of Zaragoza,"University of Zaragoza, Spain","Calle de Pedro Cerbuna, 12, 50009 Zaragoza, Spain",41.64206390,-0.90150650,edu, 167efded92139b274b4ddf88aff92598e29cbb44,Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, +160ab0e879f4451fa4df88cd567508150894ba9d,Cross Dataset Person Re-identification,China,China,China,35.86166000,104.19539700,edu, 16727cd69372019267589a27574147e8cf3b25f8,Human Attribute Recognition by Rich Appearance Dictionary,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, 16727cd69372019267589a27574147e8cf3b25f8,Human Attribute Recognition by Rich Appearance Dictionary,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 16fda65f258ca22d856bb0252891deecc59efc3d,Is Enough Enough? What Is Sufficiency in Biometric Data?,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, @@ -13422,7 +16521,11 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 16b9d258547f1eccdb32111c9f45e2e4bbee79af,NormFace: L2 Hypersphere Embedding for Face Verification,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 16b9d258547f1eccdb32111c9f45e2e4bbee79af,NormFace: L2 Hypersphere Embedding for Face Verification,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, 16d6737b50f969247339a6860da2109a8664198a,Convolutional Neural Networks for Age and Gender Classification,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, +164251f012186767d9f00a3baf8735dd2180fee7,ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks,Russia,Russia,Russia,61.52401000,105.31875600,edu, +164251f012186767d9f00a3baf8735dd2180fee7,ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks,Russia,Russia,Russia,61.52401000,105.31875600,edu, 164251f012186767d9f00a3baf8735dd2180fee7,ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks,Moscow State University,Moscow State University,"ul. Leninskiye Gory, 1, Moskva, Russia, 119991",55.70393490,37.52866960,edu, +164251f012186767d9f00a3baf8735dd2180fee7,ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks,Russia,Russia,Russia,61.52401000,105.31875600,edu, +164251f012186767d9f00a3baf8735dd2180fee7,ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks,Russia,Russia,Russia,61.52401000,105.31875600,edu, 16820ccfb626dcdc893cc7735784aed9f63cbb70,Real-time embedded age and gender classification in unconstrained video,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, 16d2ead2c3e98aa1ee9c948855a027e1da2b8eea,Multi-view Deep Network for Cross-View Classification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 16bce9f940bb01aa5ec961892cc021d4664eb9e4,Mutual Component Analysis for Heterogeneous Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -13446,6 +16549,7 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 163dc2bb0ffa32ef011df09c4ef7e3cc4c24ea35,Learning-based Lane Following and Changing Behaviors for Autonomous Vehicle,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 163dc2bb0ffa32ef011df09c4ef7e3cc4c24ea35,Learning-based Lane Following and Changing Behaviors for Autonomous Vehicle,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 166d8f840c502c5095c8651540dd393743d63ce9,Kernel Descriptors for Visual Recognition,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +16bd481fb66259df9c4c22b54797d8e8adc910fc,Robustifying Descriptor Instability Using Fisher Vectors,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 169618b8dc9b348694a31c6e9e17b989735b4d39,Unsupervised Representation Learning by Sorting Sequences,"University of California, Merced","University of California, Merced","University of California, Merced, Ansel Adams Road, Merced County, California, USA",37.36566745,-120.42158888,edu, 163e07487115641046022d57fcbc6dc9fd2669f2,Complementary feature extraction for branded handbag recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 16283efecc7332e363c9419d7129bbd5d95cbf4d,Recognizing actions from still images,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, @@ -13458,22 +16562,31 @@ c5ee2621e5a0692677890df9a10963293ab14fc2,Feature Engineering for Knowledge Base 1693e615c3a7a843880eb5bbf4e3f1beb0580f5c,Nonparametric scene parsing: Label transfer via dense scene alignment,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 1665fe64f8439a1854595e2e73394517d44c35b4,An improved LBP algorithm for avatar face recognition,University of Louisville,University of Louisville,"University of Louisville, South Brook Street, Louisville, Jefferson County, Kentucky, 40208, USA",38.21675650,-85.75725023,edu, 1677d29a108a1c0f27a6a630e74856e7bddcb70d,Efficient misalignment-robust representation for real-time face recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +f74b62933362cce595ac247fc6f54ede68697d75,An Example-Based Two-Step Face Hallucination Method through Coefficient Learning,China,China,China,35.86166000,104.19539700,edu, f74b62933362cce595ac247fc6f54ede68697d75,An Example-Based Two-Step Face Hallucination Method through Coefficient Learning,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, f730990ad4f10e7ce09e7680b7864751787445dd,JointFlow : Temporal Flow Fields for Multi Person Pose Tracking,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, f74917fc0e55f4f5682909dcf6929abd19d33e2e,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,City University of New York,The City University of New York,"Lehman College of the City University of New York, 250, Bedford Park Boulevard West, Bedford Park, The Bronx, Bronx County, NYC, New York, 10468, USA",40.87228250,-73.89489171,edu, f74917fc0e55f4f5682909dcf6929abd19d33e2e,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, -f74917fc0e55f4f5682909dcf6929abd19d33e2e,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +f74917fc0e55f4f5682909dcf6929abd19d33e2e,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, f7bdb849dafe17c952bfd88b879e01f74cf59d78,Deep Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, f7bdb849dafe17c952bfd88b879e01f74cf59d78,Deep Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, f7bdb849dafe17c952bfd88b879e01f74cf59d78,Deep Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, f7b422df567ce9813926461251517761e3e6cda0,Face aging with conditional generative adversarial networks,EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, +f79ab9baccd466d86460214c5cee9f3be0af4064,Image Segmentation of Medical Images using Automatic Fuzzy C-Mean Clustering,India,India,India,20.59368400,78.96288000,edu, f7e16e57b93b9dac11280427c7575a0a0ae4e0a8,Handcrafting vs Deep Learning : An Evaluation of NTraj + Features for Pose Based Action Recognition,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,China,China,China,35.86166000,104.19539700,edu, +f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,China,China,China,35.86166000,104.19539700,edu, +f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,China,China,China,35.86166000,104.19539700,edu, +f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,China,China,China,35.86166000,104.19539700,edu, f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, f76dee0d19c9ee8d59466ad1e3bb91cae5a17ac5,Beyond bag of words: image representation in sub-semantic space,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, +f73b15d33b9dcf329cf605815be7493b162b1fab,SLMotion - An extensible sign language oriented video analysis tool,Finland,Finland,Finland,61.92411000,25.74815110,edu, +f73b15d33b9dcf329cf605815be7493b162b1fab,SLMotion - An extensible sign language oriented video analysis tool,Finland,Finland,Finland,61.92411000,25.74815110,edu, f7b4bc4ef14349a6e66829a0101d5b21129dcf55,Towards Light-weight Annotations: Fuzzy Interpolative Reasoning for Zero-shot Image Classificaiton,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu, +f7b4bc4ef14349a6e66829a0101d5b21129dcf55,Towards Light-weight Annotations: Fuzzy Interpolative Reasoning for Zero-shot Image Classificaiton,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, f726738954e7055bb3615fa7e8f59f136d3e0bdc,Are you eligible? Predicting adulthood from face images via class specific mean autoencoder,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, f7f19ac1c4e38c104045c306f5ddac6329193d8c,15 Measuring External Face Appearance for Face Classification,Universitat Autònoma de Barcelona,Universitat Autònoma de Barcelona,"Centre de Visió per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vallès, Vallès Occidental, BCN, CAT, 08214, España",41.50078110,2.11143663,edu, f7824758800a7b1a386db5bd35f84c81454d017a,KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, @@ -13484,12 +16597,17 @@ f78fe101b21be36e98cd3da010051bb9b9829a1e,Unsupervised Domain Adaptation for Faci f78fe101b21be36e98cd3da010051bb9b9829a1e,Unsupervised Domain Adaptation for Facial Expression Recognition Using Generative Adversarial Networks,Tianjin University,Tianjin University,"泰山航空港/天津大厦, 枣行路, 枣行 高王寺, 长城路, 大河, 岱岳区 (Daiyue), 泰安市, 山东省, 271000, 中国",36.20304395,117.05842113,edu, f7f1c57d38748d718309d7d55ce79e41d60f0940,Palmprint Recognition Using Deep Scattering Convolutional Network.,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, f7093b138fd31956e30d411a7043741dcb8ca4aa,Hierarchical Clustering in Face Similarity Score Space,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, +f755d9b2b7ef66ffdf7504b34167b95d0685c18d,Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +f755d9b2b7ef66ffdf7504b34167b95d0685c18d,Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f7ed39dec6e9060dc3dc58656ddf823916a2a643,Delta-encoder: an effective sample synthesis method for few-shot object recognition,Tel Aviv University,Tel Aviv University,"אוניברסיטת תל אביב, כיכר מנדל, תל אביב - יפו, אפקה, תל אביב-יפו, מחוז תל אביב, NO, ישראל",32.11198890,34.80459702,edu, f7ed39dec6e9060dc3dc58656ddf823916a2a643,Delta-encoder: an effective sample synthesis method for few-shot object recognition,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, f715b29109a1e619136df43979a23edd5b31d41c,Deep Multi-label Hashing for Large-Scale Visual Search Based on Semantic Graph,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, f7a271acccf9ec66c9b114d36eec284fbb89c7ef,Does attractiveness influence condom use intentions in heterosexual men? An experimental study,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, f7a271acccf9ec66c9b114d36eec284fbb89c7ef,Does attractiveness influence condom use intentions in heterosexual men? An experimental study,University of Southampton,University of Southampton,"Waterfront Campus, European Way, Port of Southampton, St Mary's, Southampton, South East, England, SO14 3JW, UK",50.89273635,-1.39464295,edu, f7a271acccf9ec66c9b114d36eec284fbb89c7ef,Does attractiveness influence condom use intentions in heterosexual men? An experimental study,University of Bristol,University of Bristol,"Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK",51.45848370,-2.60977520,edu, +f7c9bafc66dc8d8002cbb2ea926378bce2b3b251,Emotion Detection Using EEG Signal Analysis ‘ Review ’,India,India,India,20.59368400,78.96288000,edu, +f7c9bafc66dc8d8002cbb2ea926378bce2b3b251,Emotion Detection Using EEG Signal Analysis ‘ Review ’,India,India,India,20.59368400,78.96288000,edu, +f7c9bafc66dc8d8002cbb2ea926378bce2b3b251,Emotion Detection Using EEG Signal Analysis ‘ Review ’,India,India,India,20.59368400,78.96288000,edu, f7ac8523770b5965aadc27cb5364d77853113be4,Face Authentication Based on Multiple Profiles Extracted from Range Data,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, f7ab8e56fc68575a0a5a94d315841f25630cf8a1,Exploiting Color Information for Better Scene Text Recognition,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu, f7ab8e56fc68575a0a5a94d315841f25630cf8a1,Exploiting Color Information for Better Scene Text Recognition,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, @@ -13497,10 +16615,11 @@ f7a91f74b0f8ac03459770bf4ba20af58a72a559,Visual Scan Paths and Recognition of Fa f759880a3314850d3a712bcd96494b62f60d5ece,Pigeonring: A Principle for Faster Thresholded Similarity Search,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, f759880a3314850d3a712bcd96494b62f60d5ece,Pigeonring: A Principle for Faster Thresholded Similarity Search,Nagoya University,Nagoya University,"SuperDARN (Hokkaido West), 太辛第1支線林道, 陸別町, 足寄郡, 十勝総合振興局, 北海道, 北海道地方, 日本",43.53750985,143.60768225,edu, f7af6fe6fb6393f7780163ae37c5931ce566daac,Synthetically Trained 3 D Visual Tracker of Underwater Vehicles,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, -f7fdf862b7edeb5fd9d8fad7062c1f029b419769,Visual interpretability for deep learning: a survey,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +f7fdf862b7edeb5fd9d8fad7062c1f029b419769,Visual interpretability for deep learning: a survey,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, f76a04bdc43f1e440b274b299b07ce2e423431e6,Face Recognition from Video: a Review,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, f7c50d2be9fba0e4527fd9fbe3095e9d9a94fdd3,Large Margin Multi-metric Learning for Face and Kinship Verification in the Wild,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, f7c50d2be9fba0e4527fd9fbe3095e9d9a94fdd3,Large Margin Multi-metric Learning for Face and Kinship Verification in the Wild,"Advanced Digital Sciences Center, Singapore","Advanced Digital Sciences Center, Singapore","1 Create Way, 14-02 Create Tower, Singapore 138602",1.30372570,103.77377630,edu, +f75852386e563ca580a48b18420e446be45fcf8d,ILLUMINATION INVARIANT FACE RECOGNITION,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, f780e752a18b6a023b687a537351641f637a12c3,Artistic Image Generation from Sketch by Using Conditional Adversarial Network and Style Feature Transform,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, f781e50caa43be13c5ceb13f4ccc2abc7d1507c5,Towards Flexible and Intelligent Vision Systems - From Thresholding to CHLAC -,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, f76faa629659ce9b9b8f0062549fa2810fa3a1a3,Activity understanding and unusual event detection in surveillance videos,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, @@ -13512,11 +16631,13 @@ f775be87ca71180d1cf97d81678f4fd713343e01,Curriculum Learning for Multi-task Clas f735188dbcb276cd1da248110712fde0d1b2aec7,Classification and clustering via dictionary learning with structured incoherence and shared features,University of Minnesota,University of Minnesota,"WeismanArt, 333, East River Parkway, Marcy-Holmes, Phillips, Minneapolis, Hennepin County, Minnesota, 55455, USA",44.97308605,-93.23708813,edu, f7943ecda36b38725efda73d68b7ea70272451b8,Superimposition-guided Facial Reconstruction from Skull,Louisiana State University,Louisiana State University,"LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA",30.40550035,-91.18620474,edu, f7943ecda36b38725efda73d68b7ea70272451b8,Superimposition-guided Facial Reconstruction from Skull,Louisiana State University,Louisiana State University,"LSU, Gourrier Avenue, Baton Rouge, East Baton Rouge Parish, Louisiana, 70803, USA",30.40550035,-91.18620474,edu, +f727837e03a039d9bcec6d02cd87256f5a5854a4,"Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Network for Semantic Segmentation,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Network for Semantic Segmentation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 64c1aa13fecfc1cdd4231e39a40a5f6db91b90f8,Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 64b06918add69292c088455b62c4b0f06c727b1b,Virtual-to-Real: Learning to Control in Visual Semantic Segmentation,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, 648c381bb3365425fddd643f1ce7d97bc975f7e6,A Bayesian Model for Extracting Facial Features,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +648c381bb3365425fddd643f1ce7d97bc975f7e6,A Bayesian Model for Extracting Facial Features,China,China,China,35.86166000,104.19539700,edu, 648c381bb3365425fddd643f1ce7d97bc975f7e6,A Bayesian Model for Extracting Facial Features,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 64782a2bc5da11b1b18ca20cecf7bdc26a538d68,Facial Expression Recognition using Spectral Supervised Canonical Correlation Analysis,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 64782a2bc5da11b1b18ca20cecf7bdc26a538d68,Facial Expression Recognition using Spectral Supervised Canonical Correlation Analysis,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, @@ -13538,15 +16659,19 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 64afa85b79c7ad60d8f3f9265259c654c03a01e8,Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections,National Institute of Advanced Industrial Science and Technology,National Institute of Advanced Industrial Science and Technology,"産業技術総合研究所;西事業所, 学園西大通り, Onogawa housing complex, つくば市, 茨城県, 関東地方, 305-0051, 日本",36.05238585,140.11852361,edu, 6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4,Deep Learning Face Attributes in the Wild,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 6424b69f3ff4d35249c0bb7ef912fbc2c86f4ff4,Deep Learning Face Attributes in the Wild,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +6412d8bbcc01f595a2982d6141e4b93e7e982d0f,"Deep Convolutional Neural Network Using Triplets of Faces, Deep Ensemble, and Score-Level Fusion for Face Recognition",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 64b22e5af5dc07309c85a742728ff6f476bd71d1,Modeling Collective Crowd Behaviors in Video,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 642e271c72d0cc7426deb3f0199b2b71140e4b24,Fast Detection of Multiple Objects in Traffic Scenes With a Common Detection Framework,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 6495d989fe33b19d2b7755f9077d8b5bf3190151,Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, +6403117f9c005ae81f1e8e6d1302f4a045e3d99d,"A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets.",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 64e75f53ff3991099c3fb72ceca55b76544374e5,Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 64d7e62f46813b5ad08289aed5dc4825d7ec5cff,Mix and Match: Joint Model for Clothing and Attribute Recognition,Tohoku University,Tohoku University,"Tohoku University, 五橋通, 青葉区, 仙台市, 宮城県, 東北地方, 980-0811, 日本",38.25309450,140.87365930,edu, +64d7e62f46813b5ad08289aed5dc4825d7ec5cff,Mix and Match: Joint Model for Clothing and Attribute Recognition,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, 6424add0f4f99cb582ecc50c4a33ae18d9236021,Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 6424add0f4f99cb582ecc50c4a33ae18d9236021,Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 6424add0f4f99cb582ecc50c4a33ae18d9236021,Unconstrained Monocular 3D Human Pose Estimation by Action Detection and Cross-Modality Regression Forest,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 64c1d9a031ec0e6785dc92edc0d00cc0802e32b0,Key Person Aided Re-identification in Partially Ordered Pedestrian Set,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +64c1d9a031ec0e6785dc92edc0d00cc0802e32b0,Key Person Aided Re-identification in Partially Ordered Pedestrian Set,China,China,China,35.86166000,104.19539700,edu, 6459f1e67e1ea701b8f96177214583b0349ed964,Generalized subspace based high dimensional density estimation,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, 6459f1e67e1ea701b8f96177214583b0349ed964,Generalized subspace based high dimensional density estimation,"University of California, Santa Barbara","University of California, Santa Barbara","UCSB, Santa Barbara County, California, 93106, USA",34.41459370,-119.84581950,edu, 64a5709d41f4c2ef0383cee9932e89bb58085588,Surgeon Technical Skill Assessment using Computer Vision based Analysis,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, @@ -13570,21 +16695,32 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 64b1de5ebd431354816ea2ebe04dd21b1953bd4f,The Phenomenology of Eye Movement Intentions and their Disruption in Goal-Directed Actions,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, 64b90c3220c43f58cb38da9af1a1b77da3dde63e,Recurrent Attention Models for Depth-Based Person Identification,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 649b47e02b82afeccc858f1f3dcec98379bfbbbd,Face Alignment Under Various Poses and Expressions,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +649b47e02b82afeccc858f1f3dcec98379bfbbbd,Face Alignment Under Various Poses and Expressions,China,China,China,35.86166000,104.19539700,edu, 64d5772f44efe32eb24c9968a3085bc0786bfca7,Morphable Displacement Field Based Image Matching for Face Recognition across Pose,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +64d5772f44efe32eb24c9968a3085bc0786bfca7,Morphable Displacement Field Based Image Matching for Face Recognition across Pose,China,China,China,35.86166000,104.19539700,edu, +641f9c87356c0829e690272b010848242058b8bc,Object Co-Detection via Efficient Inference in a Fully-Connected CRF,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 643d11703569766bed0a994941ae5f7b3e101659,Unsupervised Training for 3D Morphable Model Regression,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 643d11703569766bed0a994941ae5f7b3e101659,Unsupervised Training for 3D Morphable Model Regression,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, 6430a57f8f622600d16369bab17226409c6e2b4b,"Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet , Eigen and Fisher Analysis",Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +6430a57f8f622600d16369bab17226409c6e2b4b,"Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet , Eigen and Fisher Analysis",India,India,India,20.59368400,78.96288000,edu, 6430a57f8f622600d16369bab17226409c6e2b4b,"Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet , Eigen and Fisher Analysis",Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, -64a44e1d5cbefbb403811360a88f4d93e569ffbd,"Perspective distortion modeling, learning and compensation","University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +6430a57f8f622600d16369bab17226409c6e2b4b,"Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet , Eigen and Fisher Analysis",India,India,India,20.59368400,78.96288000,edu, +64a44e1d5cbefbb403811360a88f4d93e569ffbd,"Perspective distortion modeling, learning and compensation",UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, +64da1bfef7db423f31ff92713fbbe1994ad4124d,Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 64da1bfef7db423f31ff92713fbbe1994ad4124d,Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, 64b14354afc0e33b1786c0c5ab1af46e76b4631c,Enhanced Fine-Form Perception Does Not Contribute to Gestalt Face Perception in Autism Spectrum Disorder,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, 0fd4211d41e2395282e76f339f313d6eda5c2b60,Weaving Multi-scale Context for Single Shot Detector,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 0f22005f8f2bc134f02c4a76cde30349e3389b8d,ShuffleSeg: Real-time Semantic Segmentation Network,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, 0fc254272db096a9305c760164520ad9914f4c9e,Unsupervised convolutional neural networks for motion estimation,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +0fabb4a40f2e3a2502cd935e54e090a304006c1c,Regularized Robust Coding for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0fabb4a40f2e3a2502cd935e54e090a304006c1c,Regularized Robust Coding for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0fabb4a40f2e3a2502cd935e54e090a304006c1c,Regularized Robust Coding for Face Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +0fabb4a40f2e3a2502cd935e54e090a304006c1c,Regularized Robust Coding for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 0fb8317a8bf5feaf297af8e9b94c50c5ed0e8277,Detecting Hands in Egocentric Videos: Towards Action Recognition,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 0f5700e8aa4cba32828ca12cd4e3732a33148951,Spatio-Temporal Modeling and Prediction of Visual Attention in Graphical User Interfaces,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, 0f940d2cdfefc78c92ec6e533a6098985f47a377,A hierarchical framework for simultaneous facial activity tracking,Rensselaer Polytechnic Institute,Rensselaer Polytechnic Institute,"Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA",42.72984590,-73.67950216,edu, +0f112e49240f67a2bd5aaf46f74a924129f03912,Age-Invariant Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0f112e49240f67a2bd5aaf46f74a924129f03912,Age-Invariant Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0fdb6823669959cb709fdb3070e7e5efeebb046a,Robust Recognition against Illumination Variations Based on SIFT,University of Tabriz,University of Tabriz,"دانشگاه تبریز, شهید ایرج خلوتی, کوی انقلاب, تبریز, بخش مرکزی, شهرستان تبریز, استان آذربایجان شرقی, 5166616471, ‏ایران‎",38.06125530,46.32984840,edu, 0f0241124d6092a0bb56259ac091467c2c6938ca,Associating Faces and Names in Japanese Photo News Articles on the Web,University of Electro-Communications,The University of Electro-Communications,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, 0f6911bc1e6abee8bbf9dd3f8d54d40466429da7,Zero-shot Learning with Semantic Output Codes,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, @@ -13598,6 +16734,8 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 0f22251fa9c4bb120f00767053430fbab141fac3,Support Vector Guided Dictionary Learning,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 0f22251fa9c4bb120f00767053430fbab141fac3,Support Vector Guided Dictionary Learning,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 0faab61c742609be74463d30b0eb1118dba4a4f3,Null Space Approach of Fisher Discriminant Analysis for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +0faab61c742609be74463d30b0eb1118dba4a4f3,Null Space Approach of Fisher Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +0faab61c742609be74463d30b0eb1118dba4a4f3,Null Space Approach of Fisher Discriminant Analysis for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 0fe23b1530fde4bb10959e811216ce16fec6b4e9,A New Approach for Learning Discriminative Dictionary for Pattern Classification,Hanoi University of Science and Technology,Hanoi University of Science and Technology,"HUST, Trần Đại Nghĩa, Hai Bà Trưng, Hà Nội, 10999, Việt Nam",21.00395200,105.84360183,edu, 0f7bf963a06682d69387c54632cec9e835423617,Gamesourcing to acquire labeled human pose estimation data,University of North Carolina at Charlotte,University of North Carolina at Charlotte,"Lot 20, Poplar Terrace Drive, Charlotte, Mecklenburg County, North Carolina, 28223, USA",35.31034410,-80.73261617,edu, 0f2f4edb7599de34c97f680cf356943e57088345,Stacked Hourglass Networks for Human Pose Estimation,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, @@ -13617,16 +16755,36 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 0fe8b5503681128da84a8454a4cc94470adc09ea,Sparsity Potentials for Detecting Objects with the Hough Transform,Sharif University of Technology,Sharif University of Technology,"دانشگاه صنعتی شریف, خیابان آزادی, زنجان, منطقه ۹ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, 14588, ‏ایران‎",35.70362270,51.35125097,edu, 0fca9a022f4910dda7f8bdc92bbbe8a9c6e35303,Accelerating t-SNE using tree-based algorithms,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +0f829fee12e86f980a581480a9e0cefccb59e2c5,Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 0f21a39fa4c0a19c4a5b4733579e393cb1d04f71,Evaluation of optimization components of a 3D to 2D landmark fitting algorithm for head pose estimation,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 0f21a39fa4c0a19c4a5b4733579e393cb1d04f71,Evaluation of optimization components of a 3D to 2D landmark fitting algorithm for head pose estimation,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, 0f11d0d773544ea0d6585aeedb839e8cd8124d9e,Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 0f4eb63402a4f3bae8f396e12133684fb760def1,Attribute Embedding with Visual-Semantic Ambiguity Removal for Zero-shot Learning,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, 0f2f1e6e23e4bb9f16ba969d50582e0064ac471c,Basis mapping based boosting for object detection,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, +0fafbeedc41f5e31f81c91f56eca448cc29e1701,Real-Time Pedestrian Detection System,India,India,India,20.59368400,78.96288000,edu, +0fafbeedc41f5e31f81c91f56eca448cc29e1701,Real-Time Pedestrian Detection System,India,India,India,20.59368400,78.96288000,edu, +0fcda01765c5a0b4cff99b5ed5139a6e1eddb689,Exploiting Long-Term Connectivity and Visual Motion in CRF-Based Multi-Person Tracking,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0f533bc9fdfb75a3680d71c84f906bbd59ee48f1,Illumination invariant feature extraction based on natural images statistics — Taking face images as an example,"Academia Sinica, Taiwan","Research Center for Institute of Information Science, Academia Sinica, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu, 0f533bc9fdfb75a3680d71c84f906bbd59ee48f1,Illumination invariant feature extraction based on natural images statistics — Taking face images as an example,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, 0fa956029110bd82b34208cd18a77ca34d2c5eed,"Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach",University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 0f81b0fa8df5bf3fcfa10f20120540342a0c92e5,"Mirror, mirror on the wall, tell me, is the error small?",Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 0f81b0fa8df5bf3fcfa10f20120540342a0c92e5,"Mirror, mirror on the wall, tell me, is the error small?",Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +0f945f796a9343b51a3dc69941c0fa1a98c0f448,Local hypersphere coding based on edges between visual words,China,China,China,35.86166000,104.19539700,edu, 0f945f796a9343b51a3dc69941c0fa1a98c0f448,Local hypersphere coding based on edges between visual words,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 0faeec0d1c51623a511adb779dabb1e721a6309b,Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 0faeec0d1c51623a511adb779dabb1e721a6309b,Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions,SUNY Buffalo,SUNY Buffalo,"SUNY College at Buffalo, Academic Drive, Elmwood Village, Buffalo, Erie County, New York, 14222, USA",42.93362780,-78.88394479,edu, @@ -13643,7 +16801,11 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 0fd3a7ee228bbc3dd4a111dae04952a1ee58a8cd,Hair style retrieval by semantic mapping on informative patches,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 0f0a5d8a7a087204026a6b67000887dbf5b6a20f,Generating objects going well with the surroundings,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, 0f6d068ca799e99100fa5ff7503163fd1c9ae581,Common Subspace for Model and Similarity: Phrase Learning for Caption Generation from Images,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +0fd53d7e1ab8f42c710cb77b5ec4cc2b22158a4c,Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects,UAE,UAE,United Arab Emirates,23.42407600,53.84781800,edu, 0fd53d7e1ab8f42c710cb77b5ec4cc2b22158a4c,Combined Data Association and Evolving Particle Filter for Tracking of Multiple Articulated Objects,Lancaster University,Lancaster University,"Lancaster University, Library Avenue, Bowland College, Hala, Lancaster, Lancs, North West England, England, LA1 4AP, UK",54.00975365,-2.78757491,edu, +0f395a49ff6cbc7e796656040dbf446a40e300aa,The Change of Expression Configuration Affects Identity-Dependent Expression Aftereffect but Not Identity-Independent Expression Aftereffect,China,China,China,35.86166000,104.19539700,edu, +0f395a49ff6cbc7e796656040dbf446a40e300aa,The Change of Expression Configuration Affects Identity-Dependent Expression Aftereffect but Not Identity-Independent Expression Aftereffect,China,China,China,35.86166000,104.19539700,edu, +0f395a49ff6cbc7e796656040dbf446a40e300aa,The Change of Expression Configuration Affects Identity-Dependent Expression Aftereffect but Not Identity-Independent Expression Aftereffect,China,China,China,35.86166000,104.19539700,edu, 0f4724cc069609a9544ca7d9a429b52cfe89c182,"PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model",Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA" 0f42c64a74bc6e3e83821aa8ab5dd8e3a4b797cd,Controlled scanpath variation alters fusiform face activation.,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 0fbdd4b8eb9e4c4cfbe5b76ab29ab8b0219fbdc0,Constrained Convolutional Neural Networks for Weakly Supervised Segmentation,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, @@ -13656,6 +16818,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 0fe96806c009e8d095205e8f954d41b2b9fd5dcf,On-the-Job Learning with Bayesian Decision Theory,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 0fba39bf12486c7684fd3d51322e3f0577d3e4e8,Task Specific Local Region Matching,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 0f92f0cf1fb1d37f7f723892976ca61419768995,Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments,Capital Normal University,Capital Normal University,"首都师范大学, 岭南路, 西冉村, 海淀区, 100048, 中国",39.92864575,116.30104052,edu, +0f92f0cf1fb1d37f7f723892976ca61419768995,Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments,China,China,China,35.86166000,104.19539700,edu, 0fae5d9d2764a8d6ea691b9835d497dd680bbccd,Face Recognition using Canonical Correlation Analysis,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 0fae5d9d2764a8d6ea691b9835d497dd680bbccd,Face Recognition using Canonical Correlation Analysis,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, 0fa88943665de1176b0fc6de4ed7469b40cdb08c,Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning,Dartmouth College,Dartmouth College,"Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA",43.70479270,-72.29259090,edu, @@ -13663,14 +16826,19 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 0f8b4a64eea40c1f0aa655d4e77e46543ff558b7,Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, 0f8b4a64eea40c1f0aa655d4e77e46543ff558b7,Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation,University of Delaware,University of Delaware,"University of Delaware, South College Avenue, Newark, New Castle County, Delaware, 19713, USA",39.68103280,-75.75401840,edu, 0fb7d5e228b604ae6136328271fac3d18c25312e,INFLUENCE OF DOMAIN SHIFT FACTORS ON DEEP SEGMENTATION OF THE DRIVABLE PATH OF AN AUTONOMOUS VEHICLE,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, +0f07dcf92588945eb0d70893cdf0fe4a48552763,Detection- and Trajectory-Level Exclusion in Multiple Object Tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 0fbe38527279f49561c0e1c6ff4e8f733fb79bbe,Integrating Utility into Face De-identification,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0f7fdd7f98ee5fbfa7d293e0f1fa399b7a4ec13a,Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions,University of Pennsylvania,University of Pennsylvania,"Penn Museum, 3260, South Street, University City, Philadelphia, Philadelphia County, Pennsylvania, 19104, USA",39.94923440,-75.19198985,edu, 0f9fe80fff218573a4805437ba7010fa823ca0e6,DIY Human Action Data Set Generation,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, +0f9fe80fff218573a4805437ba7010fa823ca0e6,DIY Human Action Data Set Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +0f9fe80fff218573a4805437ba7010fa823ca0e6,DIY Human Action Data Set Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +0f9fe80fff218573a4805437ba7010fa823ca0e6,DIY Human Action Data Set Generation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 0f96eee0407b9ce9ea01629ed01bcf6802f97272,Attribute Learning for Understanding Unstructured Social Activity,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, 0fb3b63090f95af97723efe565893eb25ea9188c,Anticipating the future by watching unlabeled video,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 0f6d6a67d4439c021dcbaaeab61b6b29e88d45d9,A Semi-Supervised Data Augmentation Approach using 3D Graphical Engines,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 24f34a08ddb3f52de2ac705bdec0f027aa565921,Occlusion reasoning for object detection under arbitrary viewpoint,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 24475686f64825c6eb503e57636fc1fcda724407,Hough regions for joining instance localization and segmentation,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, +2465fc22e03faf030e5a319479a95ef1dfc46e14,Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM,Russia,Russia,Russia,61.52401000,105.31875600,edu, 24662ce3f3499ec8c5ecc546dac69dbffad578c6,Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 24662ce3f3499ec8c5ecc546dac69dbffad578c6,Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 24816e5cc4d6df4a4f8247788d13eea2381594b4,"All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles",Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, @@ -13681,6 +16849,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 2453dd38cde21f3248b55d281405f11d58168fa9,Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 24ab0116bf4f56290aa8f8dd98524bb43fab6d85,Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 24ab0116bf4f56290aa8f8dd98524bb43fab6d85,Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +24ab0116bf4f56290aa8f8dd98524bb43fab6d85,Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, 24c6240c511f4daa7cf51e28b0a9fb15e365d4cc,Can Ground Truth Label Propagation from Video Help Semantic Segmentation?,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 24b37016fee57057cf403fe2fc3dda78476a8262,Automatic Recognition of Eye Blinking in Spontaneously Occurring Behavior,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 24b37016fee57057cf403fe2fc3dda78476a8262,Automatic Recognition of Eye Blinking in Spontaneously Occurring Behavior,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, @@ -13695,30 +16864,46 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 24dbe0a133908500d25753542bbb720d71678c42,Multi-modal Person Localization And Emergency Detection Using The Kinect,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, 24f1e2b7a48c2c88c9e44de27dc3eefd563f6d39,Recognition of Action Units in the Wild with Deep Nets and a New Global-Local Loss,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, 245057df7f66fe12e91ba242b275256235e9f831,Score calibration in face recognition,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +245057df7f66fe12e91ba242b275256235e9f831,Score calibration in face recognition,Finland,Finland,Finland,61.92411000,25.74815110,edu, 248291285074203eb9ee8e0b8b517ac4ce7dc4aa,The Way Dogs (Canis familiaris) Look at Human Emotional Faces Is Modulated by Oxytocin. An Eye-Tracking Study,University of Padova,University of Padova,"Via Giovanni Gradenigo, 6, 35131 Padova PD, Italy",45.40811720,11.89437860,edu,"University of Padova, Via Gradenigo, 6 - 35131- Padova, Italy" 247a55385a11c070a9bdfce55ad4da6b8bb8d3c6,Towards Longer Long-Range Motion Trajectories,MIT CSAIL,MIT CSAIL,"32 Vassar St, Cambridge, MA 02139, USA",42.36194070,-71.09043780,edu, +244377600b1474e1da3b86a08683e629990d1417,Embedded Vision System for Atmospheric Turbulence Mitigation,India,India,India,20.59368400,78.96288000,edu, 24fe0a4a2304da39b8ff5630ba9a64d505326d0e,Progressive Operational Perceptron with Memory,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, 24fe0a4a2304da39b8ff5630ba9a64d505326d0e,Progressive Operational Perceptron with Memory,Qatar University,Qatar University,"Qatar University, Roindabout 3, Al Tarfa (68), أم صلال, 24685, ‏قطر‎",25.37461295,51.48980354,edu, +2485c98aa44131d1a2f7d1355b1e372f2bb148ad,The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +2485c98aa44131d1a2f7d1355b1e372f2bb148ad,The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +2400543ba5a94e2723bc5296e9e5f2a280f0adbd,Face Recogition by Using Gabor Feature Extraction and Neural Networks,India,India,India,20.59368400,78.96288000,edu, 247a14b584d8d83a9191149011de2908a8da605b,State of the Geotags: Motivations and Recent Changes,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 242dc739b7cc49a7f54967a7d75d8a82f92bef59,Affinity Derivation and Graph Merge for Instance Segmentation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 242dc739b7cc49a7f54967a7d75d8a82f92bef59,Affinity Derivation and Graph Merge for Instance Segmentation,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, -242dc739b7cc49a7f54967a7d75d8a82f92bef59,Affinity Derivation and Graph Merge for Instance Segmentation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +242dc739b7cc49a7f54967a7d75d8a82f92bef59,Affinity Derivation and Graph Merge for Instance Segmentation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 24d45df91ebcfac7a49cdfb7116e971e12880612,UNICITY: A depth maps database for people detection in security airlocks,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 245f8b05bdd1ac65a09a476440dc4b05ac05d4a0,An Online Learning Approach to Generative Adversarial Networks,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +24041477d6e412e4afc441992f4b170831f725c7,International Journal of Advance Research in Computer Science and Management Studies,India,India,India,20.59368400,78.96288000,edu, +24041477d6e412e4afc441992f4b170831f725c7,International Journal of Advance Research in Computer Science and Management Studies,India,India,India,20.59368400,78.96288000,edu, +24041477d6e412e4afc441992f4b170831f725c7,International Journal of Advance Research in Computer Science and Management Studies,India,India,India,20.59368400,78.96288000,edu, +24041477d6e412e4afc441992f4b170831f725c7,International Journal of Advance Research in Computer Science and Management Studies,India,India,India,20.59368400,78.96288000,edu, 244c5f88186475bc3b051be8ebb6422e4b8de707,Video from nearly still: An application to low frame-rate gait recognition,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, +244a6d4f5f745f8c2a58a6a70d7ba2b91300c118,RADON Transform and PCA based 3 D Face Recognition using KNN and SVM,India,India,India,20.59368400,78.96288000,edu, +244a6d4f5f745f8c2a58a6a70d7ba2b91300c118,RADON Transform and PCA based 3 D Face Recognition using KNN and SVM,India,India,India,20.59368400,78.96288000,edu, +2475d216fd52994ac69ef922f4daf73e47f9535d,Joint Albedo Estimation and Pose Tracking from Video,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 24959d1a9c9faf29238163b6bcaf523e2b05a053,High Accuracy Head Pose Tracking Survey,Warsaw University of Technology,Warsaw University of Technology,"Politechnika Warszawska, 1, Plac Politechniki, VIII, Śródmieście, Warszawa, mazowieckie, 00-661, RP",52.22165395,21.00735776,edu, 24d630946023cb421b9d960dd9983b4b5dcb800d,Efficient Detector Adaptation for Object Detection in a Video,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 241b86d3c71d14b8cc6044a425b047a0724cfdc9,Following Gaze in Video,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 24f9248f01df3020351347c2a3f632e01de72090,Reconstructing a fragmented face from a cryptographic identification protocol,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 246638128509f3d70477b7f439c6dbc77bc96abe,Monitoring dressing activity failures through RFID and video.,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 243e9d490fe98d139003bb8dc95683b366866c57,Distinctive Parts for Relative attributes,International Institute of Information Technology,International Institute of Information Technology,"International Institute of Information Technology, Hyderabad, Campus Road, Ward 105 Gachibowli, Greater Hyderabad Municipal Corporation West Zone, Hyderabad, Rangareddy District, Telangana, 500032, India",17.44549570,78.34854698,edu, +243e9d490fe98d139003bb8dc95683b366866c57,Distinctive Parts for Relative attributes,India,India,India,20.59368400,78.96288000,edu, 24fc311970e097efc317c0f98d2df37b828bfbad,Semi-supervised hierarchical semantic object parsing,Amirkabir University of Technology,Amirkabir University of Technology,"دانشگاه صنعتی امیرکبیر, ولی عصر, میدان ولیعصر, منطقه ۶ شهر تهران, تهران, بخش مرکزی شهرستان تهران, شهرستان تهران, استان تهران, نبش برادران مظفر, ‏ایران‎",35.70451400,51.40972058,edu, 244ed43a3b86d80f8bfd0ce852b3c2fcfb2d91cb,Fuzzy Moments Method for Face Recognition in an Ethnic Database,Semnan University,Semnan University,"دانشگاه سمنان, بزرگراه امام رضا, شهرک مسکن مهر مصلی, ناسار, سمنان, بخش مرکزی, شهرستان سمنان, استان سمنان, ‏ایران‎",35.60374440,53.43445877,edu, 240eb0b34872c431ecf9df504671281f59e7da37,Cutout-search: Putting a name to the picture,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 240eb0b34872c431ecf9df504671281f59e7da37,Cutout-search: Putting a name to the picture,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,China,China,China,35.86166000,104.19539700,edu, +24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,China,China,China,35.86166000,104.19539700,edu, 24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, +24cf9fe9045f50c732fc9c602358af89ae40a9f7,Attribute Recognition from Adaptive Parts,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 24cb375a998f4af278998f8dee1d33603057e525,Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 24cb375a998f4af278998f8dee1d33603057e525,Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 24bb79815967f5d1a333d32d25830542646babce,Cross-media Multi-level Alignment with Relation Attention Network,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, @@ -13729,6 +16914,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 2401cd5606c6bc5390acc352d00c1685f0c8af60,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 24be26a04906987e7958c1544834bf9f18a92571,Referring Image Segmentation via Recurrent Refinement Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 241416b1249d2b71b373f8dcf054110d579a2148,Biometric face recognition using multilinear projection and artificial intelligence,Newcastle University,Newcastle University,"Newcastle University, Claremont Walk, Haymarket, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE1 7RU, UK",54.98023235,-1.61452627,edu, +2484a34597a40d846c084e827fda299fd0927008,Image Matching Algorithm based on Feature-point and DAISY Descriptor,China,China,China,35.86166000,104.19539700,edu, 5e32d8aec25fc9437889c82c10abaa413a6ac928,A Philosophy for Developing Trust in Self ‐ Driving Cars,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5e32d8aec25fc9437889c82c10abaa413a6ac928,A Philosophy for Developing Trust in Self ‐ Driving Cars,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 5ee96d5c4d467d00909472e3bc0d2c2d82ccb961,Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, @@ -13742,6 +16928,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 5e84fd5c73dfeea9d51e1cf59ea6f8ecf2097603,Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 5e84fd5c73dfeea9d51e1cf59ea6f8ecf2097603,Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, 5ec2567c3bd8ff0d89d13d05e7fe298651f2e555,On Combining Classifiers for Assessing Portrait Image Compliance with ICAO/ISO Standards,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, +5e0df06d92176f362d52962de866e2d825185afb,Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking,"CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France","CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France","7 Avenue du Colonel Roche, 31400 Toulouse, France",43.56334270,1.47686950,edu, 5e821a4d0e26db7ee41a7f0f25036ba4ec094ac8,"Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation",University Politehnica of Bucharest,University Politehnica of Bucharest,"Universitatea Politehnica din București, Novum Invest, București, Militari, Sector 6, Municipiul București, 060042, România",44.43918115,26.05044565,edu, 5e821a4d0e26db7ee41a7f0f25036ba4ec094ac8,"Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation",Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 5e821a4d0e26db7ee41a7f0f25036ba4ec094ac8,"Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation",Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -13749,12 +16936,19 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 5e821a4d0e26db7ee41a7f0f25036ba4ec094ac8,"Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation",University of Oslo,University of Oslo,"UiO, Moltke Moes vei, Blindern, Nordre Aker, Oslo, 0851, Norge",59.93891665,10.72170765,edu, 5e59193a0fc22a0c37301fb05b198dd96df94266,Example-Based Modeling of Facial Texture from Deficient Data,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 5eec4db50ad8237d881562d036c275d87dd14683,End-to-End Deep Kronecker-Product Matching for Person Re-identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,India,India,India,20.59368400,78.96288000,edu, 5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,India,India,India,20.59368400,78.96288000,edu, 5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,India,India,India,20.59368400,78.96288000,edu, 5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,India,India,India,20.59368400,78.96288000,edu, 5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,Jadavpur University,Jadavpur University,"Jadavpur University, Chingrighata Flyover, Basani Devi Colony, Kolkata, Hāora, West Bengal, 700098, India",22.56115370,88.41310194,edu, +5e6c23d2e2f92a90bd35bdbc937b2d7d95ee2d55,Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study,India,India,India,20.59368400,78.96288000,edu, 5ea62e97113c243ebaece2fbb975471c8649aa62,Discriminative Robust Transformation Learning,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 5e8677eb21c3a5d24c52bcb93404416f7eeebc31,Enhancing Probabilistic Appearance-Based Object Tracking with Depth Information : Object Tracking under Occlusion,Kyoto University,Kyoto University,"京都大学, 今出川通, 吉田泉殿町, 左京区, 京都市, 京都府, 近畿地方, 606-8501, 日本",35.02749960,135.78154513,edu, +5e5e11e143140cc376db466d5b096a54b900c2ba,Face Recognition in Uncontrolled Environment,India,India,India,20.59368400,78.96288000,edu, +5ebd9457a3a09889fad8cc86a91b274da5986636,oASIS: Adaptive Column Sampling for Kernel Matrix Approximation,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 5e16f10f2d667d17c029622b9278b6b0a206d394,Learning to Rank Binary Codes,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, 5e16f10f2d667d17c029622b9278b6b0a206d394,Learning to Rank Binary Codes,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, 5e16f10f2d667d17c029622b9278b6b0a206d394,Learning to Rank Binary Codes,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, @@ -13765,6 +16959,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 5e3c8cd50301a13ad53a3fc9e3567ede63a76215,Learning to Cluster for Proposal-Free Instance Segmentation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 5e3c8cd50301a13ad53a3fc9e3567ede63a76215,Learning to Cluster for Proposal-Free Instance Segmentation,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, 5ece646d13786df1d84ff8eb2bfbc736dd337378,Leveraging Unlabeled Data for Crowd Counting by Learning to Rank,University of Florence,University of Florence,"Piazza di San Marco, 4, 50121 Firenze FI, Italy",43.77764260,11.25976500,edu, +5e2b918f2dee17cb79d692e10aa2103ca9129e2c,Rotating your face using multi-task deep neural network,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, 5e48958c1c9ab9ccb5c9e1a62b81532700d38d83,ArtGAN: Artwork synthesis with conditional categorical GANs,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, 5e9f81f93413a82bf3bd9e77b44b1ca6006f5830,Pedestrian Detection in RGB-D Images from an Elevated Viewpoint,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, 5e706ba3d5c7237a580716aacda350b867c85e5f,Predicting Useful Neighborhoods for Lazy Local Learning,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, @@ -13779,9 +16974,12 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 5ec7e6b9cf06ab90cca7bda8e7a4b54ecb6859ac,CoDeL: A Human Co-detection and Labeling Framework,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 5e09a85527a2c471ce35b21a3b22ae1620c80176,Facial image analysis based on two-dimensional linear discriminant analysis exploiting symmetry,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 5ea51401eea9a50a16bd17471bfd559d2d989760,Robust Face Alignment Based on Hierarchical Classifier Network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +5ea51401eea9a50a16bd17471bfd559d2d989760,Robust Face Alignment Based on Hierarchical Classifier Network,China,China,China,35.86166000,104.19539700,edu, 5e82282dd5db84772f01cdfb3739ed786b9f2238,MyPlaces: detecting important settings in a visual diary,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 5ed63317cdef429f77499d9de0e58402ed1f687e,From Photo Streams to Evolving Situations,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 5e1514de6d20d3b1d148d6925edc89a6c891ce47,Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +5e1514de6d20d3b1d148d6925edc89a6c891ce47,Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,China,China,China,35.86166000,104.19539700,edu, +5e1514de6d20d3b1d148d6925edc89a6c891ce47,Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,China,China,China,35.86166000,104.19539700,edu, 5e1514de6d20d3b1d148d6925edc89a6c891ce47,Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 5e74d92d841d1bc1c9c2d80219f98bf892f239c4,Developmental changes in face visual scanning in autism spectrum disorder as assessed by data-based analysis,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 5e55d9dabe06ee6b4d4b31dfd3723f6016a6c937,Visualization of Automated and Manual Trajectories in Wide-Area Motion Imagery,University of Missouri,University of Missouri,"L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA",38.92676100,-92.29193783,edu, @@ -13791,19 +16989,27 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 6cc46899b415ebef4a70068b2cbd8a50e955aeb6,Where to put the Image in an Image Caption Generator,University of Malta,University of Malta,"University of Malta, Ring Road, Japanese Garden, L-Imsida, Malta, MSD 9027, Malta",35.90232260,14.48341890,edu, 6c7a36efbe07ab295ddebc60c834cf74ec30ba50,Group Consistent Similarity Learning via Deep CRF for Person Re-Identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 6c7a36efbe07ab295ddebc60c834cf74ec30ba50,Group Consistent Similarity Learning via Deep CRF for Person Re-Identification,University of Trento,University of Trento,"University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia",46.06588360,11.11598940,edu, +6c26743e131a67b25738beffcee05da6af5d87d9,First Person Action Recognition Using Deep Learned Descriptors,"IIIT Hyderabad, India","IIIT Hyderabad, India","DLF Building, Professor CR Rao Rd, Gachibowli, Hyderabad, Telangana 500032, India",17.44523580,78.34927650,edu, 6c26743e131a67b25738beffcee05da6af5d87d9,First Person Action Recognition Using Deep Learned Descriptors,"IIIT Delhi, India","IIIT Delhi, India","Okhla Industrial Estate, Phase III, Near Govind Puri Metro Station, New Delhi, Delhi 110020, India",28.54562820,77.27315050,edu, 6c6bb85a08b0bdc50cf8f98408d790ccdb418798,Recognition of facial expressions in presence of partial occlusion,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 6c388fc4503636245fd464a05a9f843b303ad79a,Cross camera people counting with perspective estimation and occlusion handling,"Academia Sinica, Taiwan","Research Center for Institute of Information Science, Academia Sinica, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu, 6c388fc4503636245fd464a05a9f843b303ad79a,Cross camera people counting with perspective estimation and occlusion handling,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, 6c61e496afd6577aa330b1f48ad0cec1d35b32d0,Deep Interactive Evolution,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 6c61e496afd6577aa330b1f48ad0cec1d35b32d0,Deep Interactive Evolution,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +6c61e496afd6577aa330b1f48ad0cec1d35b32d0,Deep Interactive Evolution,China,China,China,35.86166000,104.19539700,edu, 6ce111fdfb7ebc8f1fe23ceaf859f7be799d5c91,Activity understanding and unusual event detection in surveillance videos,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +6cf9322009fb8f36c01fc54d213e9cd745e62468,Semi-supervised distance metric learning for person re-identification,China,China,China,35.86166000,104.19539700,edu, +6cf9322009fb8f36c01fc54d213e9cd745e62468,Semi-supervised distance metric learning for person re-identification,China,China,China,35.86166000,104.19539700,edu, 6cf9322009fb8f36c01fc54d213e9cd745e62468,Semi-supervised distance metric learning for person re-identification,Yunnan University,Yunnan University,"云南大学, 一二一大街, 志城家园, 五华区, 五华区 (Wuhua), 昆明市 (Kunming), 云南省, 650030, 中国",25.05703205,102.70027525,edu, -6c3b2fd0cb23ddb6ed707d6c9986a78d6b76bf43,Primal-Dual Group Convolutions for Deep Neural Networks,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +6cf9322009fb8f36c01fc54d213e9cd745e62468,Semi-supervised distance metric learning for person re-identification,China,China,China,35.86166000,104.19539700,edu, +6c3b2fd0cb23ddb6ed707d6c9986a78d6b76bf43,Primal-Dual Group Convolutions for Deep Neural Networks,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 6c3b2fd0cb23ddb6ed707d6c9986a78d6b76bf43,Primal-Dual Group Convolutions for Deep Neural Networks,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 6caa275cc502513550bde0a32416a3b32470161b,Sparse shape modelling for 3D face analysis,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +6c70cad229cf3f02d3d490b42c7bd92c6eade1d1,Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification,China,China,China,35.86166000,104.19539700,edu, 6c70cad229cf3f02d3d490b42c7bd92c6eade1d1,Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification,"A*STAR, Singapore","Institute for Infocomm Research, A*STAR, Singapore","1 Fusionopolis Way, #21-01 Connexis, Singapore 138632",1.29889260,103.78731070,edu, 6cfec3c50622f3e5c80b3cc98744a05225f42066,3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +6cfec3c50622f3e5c80b3cc98744a05225f42066,3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, +6cfec3c50622f3e5c80b3cc98744a05225f42066,3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 6c06ad0b4b7c981089b5a8037d5b9f9e5b928196,Image retrieval with structured object queries using latent ranking SVM,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 6c06ad0b4b7c981089b5a8037d5b9f9e5b928196,Image retrieval with structured object queries using latent ranking SVM,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, 6cf5d7c14c5df98d19f7c457daabcafd3de308bf,1 A Biologically Inspired Model for the Simultaneous Recognition of Identity and Expression,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, @@ -13819,6 +17025,8 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 6c5fbf156ef9fc782be0089309074cc52617b868,Controllable Video Generation with Sparse Trajectories,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 6c182ec9bd85cf61b01c90955c81d71926b0198a,A Deeply-Recursive Convolutional Network For Crowd Counting,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, 6c182ec9bd85cf61b01c90955c81d71926b0198a,A Deeply-Recursive Convolutional Network For Crowd Counting,Xiamen University,Xiamen University,"厦门大学, 思明南路 Siming South Road, 思明区, 思明区 (Siming), 厦门市 / Xiamen, 福建省, 361005, 中国",24.43994190,118.09301781,edu, +6cacda04a541d251e8221d70ac61fda88fb61a70,One-shot Face Recognition by Promoting Underrepresented Classes,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +6cd497a9a66daa2d0c867dc07412d958791f3499,Speeding Up Permutation Based Indexing with Indexing,Finland,Finland,Finland,61.92411000,25.74815110,edu, 6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c,Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 6c690af9701f35cd3c2f6c8d160b8891ad85822a,Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, 6c690af9701f35cd3c2f6c8d160b8891ad85822a,Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, @@ -13830,6 +17038,8 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 6c387ca410870cf7fae649f63b00e0db83cd5e1f,Region-Based Quality Estimation Network for Large-Scale Person Re-Identification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 6c387ca410870cf7fae649f63b00e0db83cd5e1f,Region-Based Quality Estimation Network for Large-Scale Person Re-Identification,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" 6ca2c5ff41e91c34696f84291a458d1312d15bf2,LipNet: Sentence-level Lipreading,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +6c62330cbd60f2cb6cb80b920104d0df3116cb3f,Robust People Tracking Using A Light Coding Depth Sensor,China,China,China,35.86166000,104.19539700,edu, +6c62330cbd60f2cb6cb80b920104d0df3116cb3f,Robust People Tracking Using A Light Coding Depth Sensor,China,China,China,35.86166000,104.19539700,edu, 6ca3fff996c62abd07bd13f36a9d552e91d8ba5b,ViS-HuD: Using Visual Saliency to Improve Human Detection with Convolutional Neural Networks,Ahmedabad University,Ahmedabad University,"School of Science and Technology, University Road, Gurukul, Gulbai tekra, Ahmedabad, Ahmedabad District, Gujarat, 380001, India",23.03787430,72.55180046,edu, 6ce1a8240b0eba18c40136370e143209dec4a5a7,Predicting Future Instance Segmentation by Forecasting Convolutional Features,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 6c78add400f749c897dc3eb93996eda1c796e91c,Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding,University of Malaya,University of Malaya,"UM, Lingkaran Wawasan, Bukit Pantai, Bangsar, KL, 50603, Malaysia",3.12267405,101.65356103,edu, @@ -13843,7 +17053,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 059582bee125512b127296364e7700ebd9f80436,Action-driven 3D indoor scene evolution,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 059582bee125512b127296364e7700ebd9f80436,Action-driven 3D indoor scene evolution,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, 059582bee125512b127296364e7700ebd9f80436,Action-driven 3D indoor scene evolution,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, -059582bee125512b127296364e7700ebd9f80436,Action-driven 3D indoor scene evolution,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +059582bee125512b127296364e7700ebd9f80436,Action-driven 3D indoor scene evolution,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 050a3346e44ca720a54afbf57d56b1ee45ffbe49,Multi-cue Zero-Shot Learning with Strong Supervision,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 0573f3d2754df3a717368a6cbcd940e105d67f0b,Emotion recognition in the wild challenge 2016,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 0573f3d2754df3a717368a6cbcd940e105d67f0b,Emotion recognition in the wild challenge 2016,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, @@ -13853,6 +17063,7 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 05891725f5b27332836cf058f04f18d74053803f,One-shot Action Localization by Learning Sequence Matching Network,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 05a0d04693b2a51a8131d195c68ad9f5818b2ce1,Dual-Reference Face Retrieval,University of East Anglia,University of East Anglia,"Arts (Lower Walkway Level), The Square, Westfield View, Earlham, Norwich, Norfolk, East of England, England, NR4 7TJ, UK",52.62215710,1.24091360,edu, 05a0d04693b2a51a8131d195c68ad9f5818b2ce1,Dual-Reference Face Retrieval,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, +05a0d04693b2a51a8131d195c68ad9f5818b2ce1,Dual-Reference Face Retrieval,China,China,China,35.86166000,104.19539700,edu, 0574dc64c8275b09ed587dc3977f4d3c990bd4df,Context-Aware Visual Policy Network for Sequence-Level Image Captioning,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 0595d18e8d8c9fb7689f636341d8a55cc15b3e6a,Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 0595d18e8d8c9fb7689f636341d8a55cc15b3e6a,Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, @@ -13867,8 +17078,8 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 051000dd99635b74862b4b33f6dd84aca34f7471,An Encoder-Decoder Based Convolution Neural Network ( CNN ) for Future Advanced Driver Assistance System ( ADAS ),University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 05b6c32304dd1673c14f1e1efce4e4d5c4402275,What are the Visual Features Underlying Rapid Object Recognition?,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, 05b6c32304dd1673c14f1e1efce4e4d5c4402275,What are the Visual Features Underlying Rapid Object Recognition?,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, -05812833afba3b2a5a4b54853b0a1ed1cc8932d1,Fast planar object detection and tracking via edgel templates,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, -05014b04223562c7c7485a1277552564d0ddc6de,Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN),"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +05812833afba3b2a5a4b54853b0a1ed1cc8932d1,Fast planar object detection and tracking via edgel templates,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, +05014b04223562c7c7485a1277552564d0ddc6de,Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN),UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 05818eddd8a35fed7f3041d591ef966f8e79bd9a,Web scale photo hash clustering on a single machine,Facebook,Facebook,"250 Bryant St, Mountain View, CA 94041, USA",37.39367170,-122.08072620,company,"Facebook, Mountain View, CA" 05bd6c2bc5dc6d65c48c6366788441bcfdd9db3a,Personalizing Smart Environments: Face Recognition for Human Interaction,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 0515e43c92e4e52254a14660718a9e498bd61cf5,MACHINE LEARNING SYSTEMS FOR DETECTING DRIVER DROWSINESS,Sabanci University,Sabanci University,"Sabanci Universitesi, Preveze Cad., Orta Mahallesi, Tepeören, Tuzla, İstanbul, Marmara Bölgesi, 34953, Türkiye",40.89271590,29.37863323,edu, @@ -13879,42 +17090,60 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 053b263b4a4ccc6f9097ad28ebf39c2957254dfb,Cost-Effective HITs for Relative Similarity Comparisons,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 053b263b4a4ccc6f9097ad28ebf39c2957254dfb,Cost-Effective HITs for Relative Similarity Comparisons,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, 0549dc0290fe988ede74c4e030ae485c13eaa54a,Development of Vision Based Multiview Gait Recognition System with MMUGait Database,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, +053ff27aba868c64823dbbe2167a762dd3f33b53,Probabilistic Slow Features for Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +053ff27aba868c64823dbbe2167a762dd3f33b53,Probabilistic Slow Features for Behavior Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 056d5d942084428e97c374bb188efc386791e36d,Temporally Robust Global Motion Compensation by Keypoint-based Congealing,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 05fa794c2d13190bef03bf33fb9ebbb612f514c0,POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, 055de0519da7fdf27add848e691087e0af166637,Joint Unsupervised Face Alignment and Behaviour Analysis,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 05bb9a8877a82a474db3a0ee65772028a715e8cd,Learning mid-level features from object hierarchy for image classification,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, 05bb9a8877a82a474db3a0ee65772028a715e8cd,Learning mid-level features from object hierarchy for image classification,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, -054756fa720bdcf1d320ad7a353e54ca53d4d3af,Semantic part segmentation using compositional model combining shape and appearance,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +054756fa720bdcf1d320ad7a353e54ca53d4d3af,Semantic part segmentation using compositional model combining shape and appearance,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 0535c537a77016b0fbf5c38377ad76c78523b097,A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 0535c537a77016b0fbf5c38377ad76c78523b097,A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 0535c537a77016b0fbf5c38377ad76c78523b097,A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 0535c537a77016b0fbf5c38377ad76c78523b097,A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks,University of Notre Dame,University of Notre Dame,"University of Notre Dame du Lac, Holy Cross Drive, Notre Dame, Maple Lane, Saint Joseph County, Indiana, 46556, USA",41.70456775,-86.23822026,edu, 05b0383b4cfe007bbad92e72ee361f95e7e9a458,Fast Matching of Binary Features,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, +05469df372a567dcef62b7ba447685fd5a5efb80,DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +05469df372a567dcef62b7ba447685fd5a5efb80,DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 05904c87cb1d0b1f17fcb018fa0344c020694f36,Modulation of the composite face effect by unintended emotion cues,University of London,University of London,"Birkbeck College, Malet Street, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1E 7HX, UK",51.52176680,-0.13019072,edu, 0535101387033bf0b5ddf662a8c4d98caa1adc52,Fast Neighborhood Graph Search Using Cartesian Concatenation,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, -0535101387033bf0b5ddf662a8c4d98caa1adc52,Fast Neighborhood Graph Search Using Cartesian Concatenation,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +0535101387033bf0b5ddf662a8c4d98caa1adc52,Fast Neighborhood Graph Search Using Cartesian Concatenation,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 05bcc5235721fd6a465a63774d28720bacc60858,Gradient Boundary Histograms for Action Recognition,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, 05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, 05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, +05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,India,India,India,20.59368400,78.96288000,edu, 05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, 05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +05f0b43fe16282656cf1fdce919ac0f9d433f4a5,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, 05e3acc8afabc86109d8da4594f3c059cf5d561f,Actor-Action Semantic Segmentation with Grouping Process Models,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 05fa7085663bbbd1057c0d240158091930c59c6a,MovieQA: Understanding Stories in Movies through Question-Answering,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 053931267af79a89791479b18d1b9cde3edcb415,Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 05e45f61dc7577c50114a382abc6e952ae24cdac,"Object Detection and Recognition in Natural Settings by George William Dittmar A thesis submitted in partial fulfilment of the requirements of the degree Master of Science in Computer Science Thesis Committee: Melanie Mitchell, Chair",Portland State University,Portland State University,"Portland State University, Southwest Park Avenue, University District, Portland Downtown, Portland, Multnomah County, Oregon, 97201, USA",45.51181205,-122.68492999,edu, 05318a267226f6d855d83e9338eaa9e718b2a8dd,Age estimation from face images: challenging problem for audience measurement systems,Yaroslavl State University,Yaroslavl State University,"ЯрГУ им. Демидова (Экономический факультет), 3, Комсомольская улица, Кировский район, Ярославль, городской округ Ярославль, Ярославская область, ЦФО, 150000, РФ",57.62521030,39.88456560,edu, -053a4e5a89716f3f9e71bd09718bd9021a5114e0,Privacy considerations for a pervasive eye tracking world,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, -053a4e5a89716f3f9e71bd09718bd9021a5114e0,Privacy considerations for a pervasive eye tracking world,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +05318a267226f6d855d83e9338eaa9e718b2a8dd,Age estimation from face images: challenging problem for audience measurement systems,Russia,Russia,Russia,61.52401000,105.31875600,edu, +053a4e5a89716f3f9e71bd09718bd9021a5114e0,Privacy considerations for a pervasive eye tracking world,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, +053a4e5a89716f3f9e71bd09718bd9021a5114e0,Privacy considerations for a pervasive eye tracking world,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 052f994898c79529955917f3dfc5181586282cf8,Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 05d80c59c6fcc4652cfc38ed63d4c13e2211d944,On sampling-based approximate spectral decomposition,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu, 058d50af5456665dccda2b41b17bdfead72bdec8,Learning Non-Metric Visual Similarity for Image Retrieval,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu, 058d50af5456665dccda2b41b17bdfead72bdec8,Learning Non-Metric Visual Similarity for Image Retrieval,Aston University,Aston University,"Aston University, Aston Street, Digbeth, Birmingham, West Midlands Combined Authority, West Midlands, England, B4, UK",52.48620785,-1.88849915,edu, +0569d7d3d8f96140adc8ec5a6016fdc97e7ef8aa,Random tree walk toward instantaneous 3D human pose estimation,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +05a6a40c840c069631a825509f3095697592e1c4,IAN: The Individual Aggregation Network for Person Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +05a6a40c840c069631a825509f3095697592e1c4,IAN: The Individual Aggregation Network for Person Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0593bd23851b9f545ff7218887c09f4c62b7aaad,Detectability prediction in dynamic scenes for enhanced environment perception,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 055530f7f771bb1d5f352e2758d1242408d34e4d,A Facial Expression Recognition System from Depth Video,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu, 052651838d27835f39270101e140055e60a59d68,Enhancing Exemplar SVMs using Part Level Transfer Regularization,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +057d879fe2d6c40ef79fe901cc62625a3b2ea8ba,EgoSampling: Fast-forward and stereo for egocentric videos,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu, +057d879fe2d6c40ef79fe901cc62625a3b2ea8ba,EgoSampling: Fast-forward and stereo for egocentric videos,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu, +057d879fe2d6c40ef79fe901cc62625a3b2ea8ba,EgoSampling: Fast-forward and stereo for egocentric videos,India,India,India,20.59368400,78.96288000,edu, +057d879fe2d6c40ef79fe901cc62625a3b2ea8ba,EgoSampling: Fast-forward and stereo for egocentric videos,The Hebrew University,The Hebrew University,Jerusalem,31.79455780,35.24140090,edu, 05f3cc64e640a9aca2d0e6086aa6efaf103a3fe2,Robot-centric Activity Recognition from First-Person RGB-D Videos,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, +05f3cc64e640a9aca2d0e6086aa6efaf103a3fe2,Robot-centric Activity Recognition from First-Person RGB-D Videos,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, 05f3cc64e640a9aca2d0e6086aa6efaf103a3fe2,Robot-centric Activity Recognition from First-Person RGB-D Videos,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, 051bc84485f0d9be02003e27e0ca67e9a06f2e4d,Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, +051bc84485f0d9be02003e27e0ca67e9a06f2e4d,Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model,China,China,China,35.86166000,104.19539700,edu, 05f3f8f6f97db00bafa2efd2ac9aac570603c0c6,TGIF: A New Dataset and Benchmark on Animated GIF Description,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 05f3f8f6f97db00bafa2efd2ac9aac570603c0c6,TGIF: A New Dataset and Benchmark on Animated GIF Description,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, 0568497f77d21122a6991e3d7147d5205451873a,Optimal feature selection for 3 D facial expression recognition using coarse-to-fine classification,Eastern Mediterranean University,Eastern Mediterranean University,"Eastern Mediterranean University (EMU) - Stadium, Nehir Caddesi, Gazimağusa, Αμμόχωστος - Mağusa, Kuzey Kıbrıs, 99450, Κύπρος - Kıbrıs",35.14479945,33.90492318,edu, @@ -13923,8 +17152,10 @@ f73b7efa3bec07c582ec4e42fbc43a4f4993c6bb,Learning a Discriminative Feature Netwo 05455f5e3c3989be4991cb74b73cdfd0d6522622,Learning Warped Guidance for Blind Face Restoration,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 05455f5e3c3989be4991cb74b73cdfd0d6522622,Learning Warped Guidance for Blind Face Restoration,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, 053f9b10532a87e346fad281e0be81337cb525a5,Session variability modelling for face authentication,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +053f9b10532a87e346fad281e0be81337cb525a5,Session variability modelling for face authentication,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, 05b603d7c6004de3c028e40b4434804f752290b9,Combining Skeletal Pose with Local Motion for Human Activity Recognition,University at Buffalo,State University of New York at Buffalo,"Buffalo, NY 14260, USA",43.00080930,-78.78896970,edu, 057d5f66a873ec80f8ae2603f937b671030035e6,Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +053c2f592a7f153e5f3746aa5ab58b62f2cf1d21,PERFORMANCE EVALUATION OF ILLUMINATION NORMALIZATION TECHNIQUES FOR FACE RECOGNITION,India,India,India,20.59368400,78.96288000,edu, 05fdd29536d55fe3ad00689b6f60ada8bc761e91,HOGgles: Visualizing Object Detection Features,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 059dc8bbf912caed67f287ad8811d3fb41fa2eba,Exemplar-based linear discriminant analysis for robust object tracking,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, 050eda213ce29da7212db4e85f948b812a215660,Combining Models and Exemplars for Face Recognition : An Illuminating Example,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, @@ -13960,21 +17191,29 @@ edde81b2bdd61bd757b71a7b3839b6fef81f4be4,Part Localization using Multi-Proposal ed2f711cf9bcd9d7ab039d746af109ed9573421a,Pixel-Wise Classification Method for High Resolution Remote Sensing Imagery Using Deep Neural Networks,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, ed2f711cf9bcd9d7ab039d746af109ed9573421a,Pixel-Wise Classification Method for High Resolution Remote Sensing Imagery Using Deep Neural Networks,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, edff76149ec44f6849d73f019ef9bded534a38c2,Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, edf01e1c84e2f80500fd74da69f428617f2a1665,Gender recognition from faces using bandlet and local binary patterns,King Saud University,King Saud University,"King Saud University جامعة الملك سعود, road_16, King Saud University District, Al Maather Municipality, الرياض, منطقة الرياض, 12393 4057, السعودية",24.72464030,46.62335012,edu, edb5813a32ce1167feb263ca2803d0ae934d902c,Invisible Steganography via Generative Adversarial Networks,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +edf98a925bb24e39a6e6094b0db839e780a77b08,Simplex Representation for Subspace Clustering,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, edf98a925bb24e39a6e6094b0db839e780a77b08,Simplex Representation for Subspace Clustering,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, +edf98a925bb24e39a6e6094b0db839e780a77b08,Simplex Representation for Subspace Clustering,China,China,China,35.86166000,104.19539700,edu, ed96f2eb1771f384df2349879970065a87975ca7,Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, ed96f2eb1771f384df2349879970065a87975ca7,Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, ed9d11e995baeec17c5d2847ec1a8d5449254525,Efficient Gender Classification Using a Deep LDA-Pruned Net,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, ed173a39f4cd980eef319116b6ba39cec1b37c42,Associative Embedding: End-to-End Learning for Joint Detection and Grouping,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, ed173a39f4cd980eef319116b6ba39cec1b37c42,Associative Embedding: End-to-End Learning for Joint Detection and Grouping,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, ed173a39f4cd980eef319116b6ba39cec1b37c42,Associative Embedding: End-to-End Learning for Joint Detection and Grouping,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +edd28097745ade85c3acd1d8bcba0b17cccb682e,Title Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models Permalink,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, ed0cf5f577f5030ac68ab62fee1cf065349484cc,Revisiting data normalization for appearance-based gaze estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, ed0cf5f577f5030ac68ab62fee1cf065349484cc,Revisiting data normalization for appearance-based gaze estimation,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, eddc4989cdb20c8cdfb22e989bdb2cb9031d0439,Binge Watching: Scaling Affordance Learning from Sitcoms,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +de48bb3a9974f6f1ed2aa36d066150015f9f8647,Ultrasound Image Despeckling using Local Binary Pattern Weighted Linear Filtering,India,India,India,20.59368400,78.96288000,edu, +de48bb3a9974f6f1ed2aa36d066150015f9f8647,Ultrasound Image Despeckling using Local Binary Pattern Weighted Linear Filtering,India,India,India,20.59368400,78.96288000,edu, +de48bb3a9974f6f1ed2aa36d066150015f9f8647,Ultrasound Image Despeckling using Local Binary Pattern Weighted Linear Filtering,India,India,India,20.59368400,78.96288000,edu, deae19c928571d3c1101660b0d643d7a7ee893b2,Improved Human Parsing with a Full Relational Model,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, de0cfd94d16468cdaaa0fe725e214930587ed8ce,Scalable Person Re-identification on Supervised Smoothed Manifold,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, de2e8127105a37ff1f59be13a010ab0d3f4fa650,ANALYZING HANDS WITH FIRST-PERSON COMPUTER VISION,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, @@ -13982,12 +17221,15 @@ de0c4459c46c5efbad02cd9a1f4687a12883c5d7,Asmar Hasanova Pedestrian Detection and ded2eaddaf214e63aae6be34f4f319df0a10c13e,Gender Classification of Consumer Face Images using Gabor Filters,University of Gujrat,University of Gujrat,"University of Gujrat, University Road, Chandhar, Gujrāt District, پنجاب, 50700, ‏پاکستان‎",32.63744845,74.16174558,edu, deb78e302c2efdac51b742f4d3e8041b5838e533,Learning to Evaluate Image Captioning,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, defbca385b48173d3dbd7bb8b8fbd35ba06239c3,Motion-Appearance Co-Memory Networks for Video Question Answering,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, +de398bd8b7b57a3362c0c677ba8bf9f1d8ade583,Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, dec0c26855da90876c405e9fd42830c3051c2f5f,Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, dec0c26855da90876c405e9fd42830c3051c2f5f,Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency,Cornell University,Cornell University,"Cornell University, Forest Home Drive, Forest Home, Tompkins County, New York, 14853, USA",42.45055070,-76.47835130,edu, +dec0c26855da90876c405e9fd42830c3051c2f5f,Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, de3285da34df0262a4548574c2383c51387a24bf,Two-Stream Convolutional Networks for Dynamic Texture Synthesis,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, de8a01d36df1c3a881523c3748fcfa988710fa15,Physical adversarial examples for semantic image segmentation,Princeton University,Princeton University,"Lot 9, University Place, Princeton Township, Mercer County, New Jersey, 08540, USA",40.34829285,-74.66308325,edu, de85e5abc5d97092d879c48eef3d2d2b0c45eb9d,Acta Polytechnica CTU Proceedings,Czech Technical University,Czech Technical University,"České vysoké učení technické v Praze, Resslova, Nové Město, Praha, okres Hlavní město Praha, Hlavní město Praha, Praha, 11121, Česko",50.07642960,14.41802312,edu, def2983576001bac7d6461d78451159800938112,The Do’s and Don’ts for CNN-Based Face Verification,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +de95fa1dd69a2d0d2b76539357062062f8b1e7b8,Face to Age,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, def569db592ed1715ae509644444c3feda06a536,Discovery and usage of joint attention in images,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, def569db592ed1715ae509644444c3feda06a536,Discovery and usage of joint attention in images,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, def569db592ed1715ae509644444c3feda06a536,Discovery and usage of joint attention in images,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -14001,7 +17243,11 @@ de725093e13cdc90209d981bea69730c7f6ee03d,A sparse coding based transfer learning de725093e13cdc90209d981bea69730c7f6ee03d,A sparse coding based transfer learning framework for pedestrian detection,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,China,China,China,35.86166000,104.19539700,edu, +dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,China,China,China,35.86166000,104.19539700,edu, +dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,China,China,China,35.86166000,104.19539700,edu, dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +dec04588b73efb1192d1778b2b818842ccd242e7,Image captioning based on deep reinforcement learning,China,China,China,35.86166000,104.19539700,edu, de7f5e4ccc2f38e0c8f3f72a930ae1c43e0fdcf0,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" de7f5e4ccc2f38e0c8f3f72a930ae1c43e0fdcf0,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" de7f5e4ccc2f38e0c8f3f72a930ae1c43e0fdcf0,Merge or Not? Learning to Group Faces via Imitation Learning,SenseTime,SenseTime,"China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1号-7",39.99300800,116.32988200,company,"1 Zhongguancun E Rd, Haidian Qu, China" @@ -14015,14 +17261,17 @@ decc4de8b6964ba473744741c3a46ac37f2d6e3e,A Pose Invariant 3 D Face Recognition M de92ac27693598254554531d8cadfd4728c423a1,Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, de92ac27693598254554531d8cadfd4728c423a1,Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric Learning for Object Recognition Based on 3D Models,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric Learning for Object Recognition Based on 3D Models,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 66e9fb4c2860eb4a15f713096020962553696e12,A New Urban Objects Detection Framework Using Weakly Annotated Sets,New York University,New York University,"NYU, West 4th Street, NoHo Historic District, NoHo, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72925325,-73.99625394,edu, 669ddd0b5f742876fe84cfb3dd7ff30bcaab52be,Learning image similarities via Probabilistic Feature Matching,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 6604fd47f92ce66dd0c669dd66b347b80e17ebc9,Simultaneous Cascaded Regression,Institute of Systems and Robotics,Institute of Systems and Robotics,"Institut für Robotik und Kognitive Systeme, 160, Ratzeburger Allee, Strecknitz, Sankt Jürgen, Strecknitz, Lübeck, Schleswig-Holstein, 23562, Deutschland",53.83383710,10.70359390,edu, +66810438bfb52367e3f6f62c24f5bc127cf92e56,Face Recognition of Illumination Tolerance in 2 D Subspace Based on the Optimum Correlation Filter,China,China,China,35.86166000,104.19539700,edu, 666300af8ffb8c903223f32f1fcc5c4674e2430b,Changing Fashion Cultures,Tokyo Denki University,Tokyo Denki University,"電気通信大学, 甲州街道, 調布市, 東京都, 関東地方, 182-0026, 日本",35.65729570,139.54255868,edu, 661e215ff688a6bbce73a76e71719416e47e193a,Comparison of Super-Resolution Benefits for Downsampled Images and Real Low-Resolution Data,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 66a4a03ea58792e4be90b20c60ddc65de736537e,Learning auxiliary dictionaries for undersampled face recognition,"Academia Sinica, Taiwan","Research Center for Institute of Information Science, Academia Sinica, Taiwan","115, Taiwan, Taipei City, Nangang District, 研究院路二段128號",25.04117270,121.61465180,edu, 66986f4359c3507d671bad021d6fb2d6fa6aa2c0,Appearance sharing for collective human pose estimation,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, -666939690c564641b864eed0d60a410b31e49f80,What Visual Attributes Characterize an Object Class?,Microsoft,"Microsoft Corporation, Redmond, WA, USA","One Microsoft Way, Redmond, WA 98052, USA",47.64233180,-122.13693020,company, +666939690c564641b864eed0d60a410b31e49f80,What Visual Attributes Characterize an Object Class?,China,China,China,35.86166000,104.19539700,edu, +666939690c564641b864eed0d60a410b31e49f80,What Visual Attributes Characterize an Object Class?,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 66652367a369d18e1845dd14220dc94a9748c9fd,Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 66652367a369d18e1845dd14220dc94a9748c9fd,Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, 66652367a369d18e1845dd14220dc94a9748c9fd,Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, @@ -14032,12 +17281,15 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric 66330846a03dcc10f36b6db9adf3b4d32e7a3127,Polylingual Multimodal Learning,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 668d39ceb83d06c61ab58cb689a1b744ff520669,Fast Video Classification via Adaptive Cascading of Deep Models,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 663981cfc5fc843ec2682b77ae427ac351bc2180,Detecting Repeating Objects Using Patch Correlation Analysis,Hebrew University of Jerusalem,The Hebrew University of Jerusalem,"האוניברסיטה העברית בירושלים, Reagan Plaza, קרית מנחם בגין, הר הצופים, ירושלים, מחוז ירושלים, NO, ישראל",31.79185550,35.24472300,edu, +661c16658db873efeee3621603fe6bd53eaffac1,LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 66cd8e7338b20999786343651658520ca9544006,Pedestrian detection aided by deep learning semantic tasks,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 66cc90ea586c914e6a3b50fe703f4379d530fad7,Automatic integration of social information in emotion recognition.,University of Geneva,University of Geneva,"University of Chicago-Yerkes Observatory, 373, West Geneva Street, Williams Bay, Walworth County, Wisconsin, 53191, USA",42.57054745,-88.55578627,edu, 66c84abd01fdd84d9cd241dea8e487580f4f8922,Bridging Languages through Images with Deep Partial Canonical Correlation Analysis,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, 66c84abd01fdd84d9cd241dea8e487580f4f8922,Bridging Languages through Images with Deep Partial Canonical Correlation Analysis,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, 669b9fd79eb39f712527ee616e35e50eea7fd2fa,Human Pose Estimation Using Body Parts Dependent Joint Regressors,ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +669b9fd79eb39f712527ee616e35e50eea7fd2fa,Human Pose Estimation Using Body Parts Dependent Joint Regressors,Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 6691dfa1a83a04fdc0177d8d70e3df79f606b10f,Illumination Modeling and Normalization for Face Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +6691dfa1a83a04fdc0177d8d70e3df79f606b10f,Illumination Modeling and Normalization for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 6681ec516067747a4576f737f10f8d9bbca2d8d1,Perturbative Neural Networks ( Supplementary Material ),Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 6681ec516067747a4576f737f10f8d9bbca2d8d1,Perturbative Neural Networks ( Supplementary Material ),Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 6681ec516067747a4576f737f10f8d9bbca2d8d1,Perturbative Neural Networks ( Supplementary Material ),Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -14045,7 +17297,10 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric 66f02fbcad13c6ee5b421be2fc72485aaaf6fcb5,"Using Co-Captured Face, Gaze, and Verbal Reactions to Images of Varying Emotional Content for Analysis and Semantic Alignment",Muhlenberg College,Muhlenberg College,"Muhlenberg College, 2400, West Chew Street, Rose Garden, Allentown, Lehigh County, Pennsylvania, 18104, USA",40.59676370,-75.51240620,edu, 66f02fbcad13c6ee5b421be2fc72485aaaf6fcb5,"Using Co-Captured Face, Gaze, and Verbal Reactions to Images of Varying Emotional Content for Analysis and Semantic Alignment",Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, 66f02fbcad13c6ee5b421be2fc72485aaaf6fcb5,"Using Co-Captured Face, Gaze, and Verbal Reactions to Images of Varying Emotional Content for Analysis and Semantic Alignment",Rochester Institute of Technology,Rochester Institute of Technology,"Rochester Institute of Technology (RIT), 1, Lomb Memorial Drive, Bailey, Henrietta Town, Monroe County, New York, 14623, USA",43.08250655,-77.67121663,edu, +66dcc6771e35068a1ea2f6e6f4cdb9a40a4df450,A Linear Approximation to the chi^2 Kernel with Geometric Convergence,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +661da40b838806a7effcb42d63a9624fcd684976,An Illumination Invariant Accurate Face Recognition with Down Scaling of DCT Coefficients,India,India,India,20.59368400,78.96288000,edu, 66ef0364f2e865c35ce5003e129ba6fc57a2afa4,Semantic segmentation using multiple graphs with block-diagonal constraints,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +66719918aa6562d14ea53286bf248d6f1a7d6b14,Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks,China,China,China,35.86166000,104.19539700,edu, 66fb1e7a65abbfa171a3fd92dc67006490df7450,Design of Continuous Authentication using Face Recognition,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, 666aa18ed45a0a92959d91d0f9a4c928aceb1450,Material : Modelling and unsupervised learning of symmetric deformable object categories,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, 666aa18ed45a0a92959d91d0f9a4c928aceb1450,Material : Modelling and unsupervised learning of symmetric deformable object categories,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, @@ -14079,6 +17334,7 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric 1ab56eb6128da34027242b1314e51b9b18b960db,Object Detection by 3D Aspectlets and Occlusion Reasoning,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, 1ab56eb6128da34027242b1314e51b9b18b960db,Object Detection by 3D Aspectlets and Occlusion Reasoning,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 1af52c853ff1d0ddb8265727c1d70d81b4f9b3a9,International Journal of Advanced Robotic Systems Face Recognition Under Illumination Variation Using Shadow Compensation and Pixel Selection Regular Paper,Dankook University,Dankook University,"단국대학교 치과병원, 죽전로, 죽전동, 수지구, 용인시, 경기, 16900, 대한민국",37.32195750,127.12507230,edu, +1a86568fdba2b85a9f0b69d563dd22aa5a8d3562,Perceptual Fidelity Aware Mean Squared Error,China,China,China,35.86166000,104.19539700,edu, 1a86568fdba2b85a9f0b69d563dd22aa5a8d3562,Perceptual Fidelity Aware Mean Squared Error,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 1a86568fdba2b85a9f0b69d563dd22aa5a8d3562,Perceptual Fidelity Aware Mean Squared Error,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 1aad2da473888cb7ebc1bfaa15bfa0f1502ce005,First-Person Activity Recognition: What Are They Doing to Me?,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, @@ -14090,6 +17346,8 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric 1a5a79b4937b89420049bc279a7b7f765d143881,Are Rich People Perceived as More Trustworthy? Perceived Socioeconomic Status Modulates Judgments of Trustworthiness and Trust Behavior Based on Facial Appearance,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 1a5a79b4937b89420049bc279a7b7f765d143881,Are Rich People Perceived as More Trustworthy? Perceived Socioeconomic Status Modulates Judgments of Trustworthiness and Trust Behavior Based on Facial Appearance,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 1a5a79b4937b89420049bc279a7b7f765d143881,Are Rich People Perceived as More Trustworthy? Perceived Socioeconomic Status Modulates Judgments of Trustworthiness and Trust Behavior Based on Facial Appearance,Virginia Commonwealth University,Virginia Commonwealth University,"Virginia Commonwealth University, The Compass, Oregon Hill, Richmond, Richmond City, Virginia, 23284, USA",37.54821500,-77.45306424,edu, +1aa766bbd49bac8484e2545c20788d0f86e73ec2,"Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1aa766bbd49bac8484e2545c20788d0f86e73ec2,"Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study",Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1aa766bbd49bac8484e2545c20788d0f86e73ec2,"Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study",Oak Ridge National Laboratory,Oak Ridge National Laboratory,"Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA",35.93006535,-84.31240032,edu, 1a4b6ee6cd846ef5e3030a6ae59f026e5f50eda6,Deep Learning for Video Classification and Captioning,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 1a40092b493c6b8840257ab7f96051d1a4dbfeb2,Sports Videos in the Wild (SVW): A video dataset for sports analysis,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, @@ -14101,43 +17359,63 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric 1a2e9a56e5f71bf95a2f68b6e67e2aaa1c6bf91e,FPM: Fine Pose Parts-Based Model with 3D CAD Models,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 1ac85387b1d5a05f752ddf671763f02e923a2a03,Deep Learning with Sets and Point Clouds,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 1a229f1d21abe442520cba31a6e08663b3d31777,The heterogeneous block architecture,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +1a229f1d21abe442520cba31a6e08663b3d31777,The heterogeneous block architecture,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 1a1f63cbd8465d1bbee9bca24124b52ea4ec2762,Multilinear Multitask Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 1a1f63cbd8465d1bbee9bca24124b52ea4ec2762,Multilinear Multitask Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, 1a1f63cbd8465d1bbee9bca24124b52ea4ec2762,Multilinear Multitask Learning,University College London,University College London,"UCL Institute of Education, 20, Bedford Way, Holborn, Bloomsbury, London Borough of Camden, London, Greater London, England, WC1H 0AL, UK",51.52316070,-0.12820370,edu, +1a790c7669943af5868e49d15cf282cbbd506f02,An Overview of Recent Progress in Volumetric Semantic 3 D Reconstruction ( Invited Paper ),University of California,"University of California, San Francisco, San Francisco, USA","505 Parnassus Ave, San Francisco, CA 94143, USA",37.76276550,-122.45775300,edu, 1a790c7669943af5868e49d15cf282cbbd506f02,An Overview of Recent Progress in Volumetric Semantic 3 D Reconstruction ( Invited Paper ),ETH Zürich,ETH Zürich,"ETH Zürich, 101, Rämistrasse, Hochschulen, Altstadt, Zürich, Bezirk Zürich, Zürich, 8092, Schweiz/Suisse/Svizzera/Svizra",47.37645340,8.54770931,edu, +1a790c7669943af5868e49d15cf282cbbd506f02,An Overview of Recent Progress in Volumetric Semantic 3 D Reconstruction ( Invited Paper ),Microsoft,Microsoft,"7021 S Memorial Dr, Tulsa, OK 74133, USA",36.06303740,-95.88099660,edu, 1a65cc5b2abde1754b8c9b1d932a68519bcb1ada,Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, -1a65cc5b2abde1754b8c9b1d932a68519bcb1ada,Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +1a65cc5b2abde1754b8c9b1d932a68519bcb1ada,Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 1a07d9213a6082d69f40bb5373da60ba0d19f2d6,Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, +1ae19084d2cd53c70d7e44d419df32560e417fb9,The Canadian experience using the expanded criteria donor classification for allocating deceased donor kidneys for transplantation,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 1a29f8e4e0578a799b013bb0a9043b0ed693a32d,On the location dependence of convolutional neural network features,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, 1a964f13abb3cdc5675dbfd612fa0409608e28c7,CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 1a964f13abb3cdc5675dbfd612fa0409608e28c7,CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 1a398504e8822e4d079167be9684096fe862c0d5,Handling Data Imbalance in Automatic Facial Action Intensity Estimation,Otto von Guericke University,Otto von Guericke University,"Otto-von-Guericke-Universität Magdeburg, 2, Universitätsplatz, Krökentorviertel/Breiter Weg NA, Alte Neustadt, Magdeburg, Sachsen-Anhalt, 39106, Deutschland",52.14005065,11.64471248,edu, +1a6d748365dbf3b17f2db371a30469478ee7b142,DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1a6d748365dbf3b17f2db371a30469478ee7b142,DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1a6d748365dbf3b17f2db371a30469478ee7b142,DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1a6d748365dbf3b17f2db371a30469478ee7b142,DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +1a41e5d93f1ef5b23b95b7163f5f9aedbe661394,Alignment-Free and High-Frequency Compensation in Face Hallucination,China,China,China,35.86166000,104.19539700,edu, 1a41e5d93f1ef5b23b95b7163f5f9aedbe661394,Alignment-Free and High-Frequency Compensation in Face Hallucination,Ritsumeikan University,Ritsumeikan University,"立命館大学 (Ritsumeikan University), 衣笠宇多野線, 北区, 京都市, 京都府, 近畿地方, 6038577, 日本",35.03332810,135.72491540,edu, -1a39ce3f624844a1288b6deff545f6c4d79c4fae,DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, +1a39ce3f624844a1288b6deff545f6c4d79c4fae,DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization,UCLA,"University of California, Los Angeles","Los Angeles, CA 90095, USA",34.06892100,-118.44518110,edu, 1a2b3fa1b933042687eb3d27ea0a3fcb67b66b43,Max-margin Latent Dirichlet Allocation for Image Classification and Annotation,Fraser University,Fraser University,"Fraser, 3333, University Avenue Southeast, Prospect Park - East River Road, Minneapolis, Hennepin County, Minnesota, 55414, USA",44.96898360,-93.20941629,edu, 1ac2882559a4ff552a1a9956ebeadb035cb6df5b,How much training data for facial action unit detection?,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, 1ac2882559a4ff552a1a9956ebeadb035cb6df5b,How much training data for facial action unit detection?,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 1a6c9ef99bf0ab9835a91fe5f1760d98a0606243,ConceptMap: Mining Noisy Web Data for Concept Learning,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, +1a6c3c37c2e62b21ebc0f3533686dde4d0103b3f,Implementation of Partial Face Recognition using Directional Binary Code,India,India,India,20.59368400,78.96288000,edu, 1a46d3a9bc1e4aff0ccac6403b49a13c8a89fc1d,Online robust image alignment via iterative convex optimization,Temple University,Temple University,"Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA",39.95472495,-75.15346905,edu, +1a46d3a9bc1e4aff0ccac6403b49a13c8a89fc1d,Online robust image alignment via iterative convex optimization,China,China,China,35.86166000,104.19539700,edu, 1a46d3a9bc1e4aff0ccac6403b49a13c8a89fc1d,Online robust image alignment via iterative convex optimization,Purdue University,Purdue University,"Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA",40.43197220,-86.92389368,edu, 1af8b9efe40cb85fd48fb466545141a5e102796b,Performance assessment of morphological dynamic link architecture under optimal and real operating conditions,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, 1aef6f7d2e3565f29125a4871cd60c4d86c48361,Natural Language Video Description using Deep Recurrent Neural Networks,University of Texas at Austin,University of Texas at Austin,"University of Texas at Austin, 1, East 23rd Street, The Drag, Austin, Travis County, Texas, 78712, USA",30.28415100,-97.73195598,edu, 1ae3dd081b93c46cda4d72100d8b1d59eb585157,Online Motion Agreement Tracking,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 1a257ff73b1dd95f905dbbce9bb233033d09e959,A New Gabor Phase Difference Pattern for Face and Ear Recognition,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +1a257ff73b1dd95f905dbbce9bb233033d09e959,A New Gabor Phase Difference Pattern for Face and Ear Recognition,China,China,China,35.86166000,104.19539700,edu, 1afdedba774f6689eb07e048056f7844c9083be9,Markov Random Field Structures for Facial Action Unit Intensity Estimation,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 1afdedba774f6689eb07e048056f7844c9083be9,Markov Random Field Structures for Facial Action Unit Intensity Estimation,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +1a45ddaf43bcd49d261abb4a27977a952b5fff12,LDOP: Local Directional Order Pattern for Robust Face Retrieval,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 1a660d8576ed749610e0e040076d27973aee44ee,Tracking by Identification Using Computer Vision and Radio,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, 1adbcca753c7b4f22cf3d6bc3a9579573d4d5846,Sample-Specific SVM Learning for Person Re-identification,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, 1a12eec3ceb1c81cde4ae6e8f27aac08b36317d4,Real-time Distracted Driver Posture Classification,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, 1a12eec3ceb1c81cde4ae6e8f27aac08b36317d4,Real-time Distracted Driver Posture Classification,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, +0000fcfd467a19cf0e59169c2f07d730a0f3a8b9,Exploring Visual Relationship for Image Captioning,China,China,China,35.86166000,104.19539700,edu, 0000fcfd467a19cf0e59169c2f07d730a0f3a8b9,Exploring Visual Relationship for Image Captioning,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +00f1cccba86736cb6b6f39759ca6749f819252f0,Transfer Metric Learning for Kinship Verification with Locality-Constrained Sparse Features,China,China,China,35.86166000,104.19539700,edu, 0021f46bda27ea105d722d19690f5564f2b8869e,Deep Region and Multi-label Learning for Facial Action Unit Detection,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, +003afe78ec7989371f648fd8957a6ce79083cf11,SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos,Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu, +00091891790ee77816ebd785d25900254e6986bd,Discriminative Robust Local Binary Pattern based Edge Texture Features for Object Recognition,India,India,India,20.59368400,78.96288000,edu, +00091891790ee77816ebd785d25900254e6986bd,Discriminative Robust Local Binary Pattern based Edge Texture Features for Object Recognition,India,India,India,20.59368400,78.96288000,edu, 0066caed1238de95a431d836d8e6e551b3cde391,Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 00434a4491b6710308c653c430784872849d1f36,Evaluating Scientific Workflow Execution on an Asymmetric Multicore Processor,University of Manchester,University of Manchester,"University of Manchester - Main Campus, Brunswick Street, Curry Mile, Ardwick, Manchester, Greater Manchester, North West England, England, M13 9NR, UK",53.46600455,-2.23300881,edu, +0058cbe110933f73c21fa6cc9ae0cd23e974a9c7,An Efficient Algorithm for Learning Distances that Obey the Triangle Inequality,India,India,India,20.59368400,78.96288000,edu, 0058cbe110933f73c21fa6cc9ae0cd23e974a9c7,An Efficient Algorithm for Learning Distances that Obey the Triangle Inequality,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 0058cbe110933f73c21fa6cc9ae0cd23e974a9c7,An Efficient Algorithm for Learning Distances that Obey the Triangle Inequality,University of Maryland College Park,University of Maryland College Park,"University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA",38.99203005,-76.94610290,edu, 006a4d9a06ee8d36bbc9187b2015c206c80a8aff,Spectral GeometricMethods for Deformable 3 D Shape Retrieval,Concordia University,Concordia University,"Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA",45.57022705,-122.63709346,edu, 00e4f90555b98e2286d4d07c87220a6766c441f0,Localization of Multi-pose and Occluded Facial Features via Sparse Shape Representation,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, +005c996a9059af96454c3d6f83338068d3608585,On Detection of Multiple Object Instances Using Hough Transforms,Microsoft Research Cambridge,Microsoft Research Cambridge,"21 Station Rd, Cambridge CB1 2FB, UK",52.19489020,0.13504810,company, 00bf7bcf31ee71f5f325ca5307883157ba3d580f,Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, 00a24b3a377fdb9b31e0f9d0860e48a95c17c304,Exaggerated Intergroup Bias in Economical Decision Making Games: Differential Effects of Primary and Secondary Psychopathic Traits,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu, 00a24b3a377fdb9b31e0f9d0860e48a95c17c304,Exaggerated Intergroup Bias in Economical Decision Making Games: Differential Effects of Primary and Secondary Psychopathic Traits,University of Birmingham,University of Birmingham,"University of Birmingham Edgbaston Campus, Ring Road North, Bournbrook, Birmingham, West Midlands Combined Authority, West Midlands, England, B15 2TP, UK",52.45044325,-1.93196134,edu, @@ -14146,9 +17424,13 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric 00732bed67ca05a601afe8376b5121545d5c7450,Path Aggregation Network for Instance Segmentation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 00dec7b4e082e9345e1b34e36d42669f12c129f2,Lost in binarization: query-adaptive ranking for similar image search with compact codes,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, 00f1b6927785b6f4305cc35c1b0bfbbe2010c31f,Universal Conditional Machine,Lomonosov Moscow State University,Lomonosov Moscow State University,"МГУ, улица Академика Хохлова, Московский государственный университет им. М. В. Ломоносова, район Раменки, Западный административный округ, Москва, ЦФО, 119234, РФ",55.70229715,37.53179777,edu, +00f1b6927785b6f4305cc35c1b0bfbbe2010c31f,Universal Conditional Machine,Russia,Russia,Russia,61.52401000,105.31875600,edu, +00f1b6927785b6f4305cc35c1b0bfbbe2010c31f,Universal Conditional Machine,Russia,Russia,Russia,61.52401000,105.31875600,edu, +00f1b6927785b6f4305cc35c1b0bfbbe2010c31f,Universal Conditional Machine,Russia,Russia,Russia,61.52401000,105.31875600,edu, 003927ec8deedf8cb515ad3b145ef2a5a556cbf4,On Autoencoders and Score Matching for Energy Based Models,University of British Columbia,University of British Columbia,"University of British Columbia, Eagles Drive, Hawthorn Place, University Endowment Lands, Metro Vancouver, British Columbia, V6T, Canada",49.25839375,-123.24658161,edu, 003927ec8deedf8cb515ad3b145ef2a5a556cbf4,On Autoencoders and Score Matching for Energy Based Models,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, 0095564f9e0afe920324fc75cf0b76d3f4825206,Geometry Aware Constrained Optimization Techniques for Deep Learning ∗,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +0095564f9e0afe920324fc75cf0b76d3f4825206,Geometry Aware Constrained Optimization Techniques for Deep Learning ∗,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu, 0081e2188c8f34fcea3e23c49fb3e17883b33551,Training Deep Face Recognition Systems with Synthetic Data,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, 0041ea67f32bef4949fedcef97562ad16fe5a7f9,Gradient based efficient feature selection,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, 00514ba3949302705b3b88af5eeef2d05cf8497d,Region-based Segmentation and Object Detection,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -14160,6 +17442,7 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric 000f90380d768a85e2316225854fc377c079b5c4,Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 00b29e319ff8b3a521b1320cb8ab5e39d7f42281,Towards Transparent Systems: Semantic Characterization of Failure Modes,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 00b29e319ff8b3a521b1320cb8ab5e39d7f42281,Towards Transparent Systems: Semantic Characterization of Failure Modes,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, +00b29e319ff8b3a521b1320cb8ab5e39d7f42281,Towards Transparent Systems: Semantic Characterization of Failure Modes,"Virginia Tech, Blacksburg, USA","Virginia Tech, Blacksburg, USA","Blacksburg, VA 24061, USA",37.22838430,-80.42341670,edu, 007e86cb55f0ba0415a7764a1e9f9566c1e8784b,Adversarial Feature Learning,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, 0037d05fe2fc9553e58206f40ca39760396b5911,Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 0037d05fe2fc9553e58206f40ca39760396b5911,Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -14174,11 +17457,17 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric 00e3957212517a252258baef833833921dd308d4,Adaptively Weighted Multi-task Deep Network for Person Attribute Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 0074ccd17382bf077bf08d649a97541ad64478fd,Answer-Aware Attention on Grounded Question Answering in Images,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,China,China,China,35.86166000,104.19539700,edu, +00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,China,China,China,35.86166000,104.19539700,edu, +00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,China,China,China,35.86166000,104.19539700,edu, +00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,China,China,China,35.86166000,104.19539700,edu, +00b202871ec41b8049e8393e463660525ecb61b5,Subspace clustering based on low rank representation and weighted nuclear norm minimization,China,China,China,35.86166000,104.19539700,edu, 001d909eb3513fb6fad8fb2355971441255458c3,Minimal local reconstruction error measure based discriminant feature extraction and classification,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, 004ec53d1f12cc4c0a7c809bf3b7acaee2180fd9,An Affectively Aware Virtual Therapist for Depression Counseling,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 004ec53d1f12cc4c0a7c809bf3b7acaee2180fd9,An Affectively Aware Virtual Therapist for Depression Counseling,Northeastern University,Northeastern University,"Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA",42.33836680,-71.08793524,edu, 00f7f7b72a92939c36e2ef9be97397d8796ee07c,3 D ConvNets with Optical Flow Based Regularization,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 00b08d22abc85361e1c781d969a1b09b97bc7010,Who is the hero? semi-supervised person re-identification in videos,Tampere University of Technology,Tampere University of Technology,"TTY, 10, Korkeakoulunkatu, Finninmäki, Hervanta, Tampere, Tampereen seutukunta, Pirkanmaa, Länsi- ja Sisä-Suomen aluehallintovirasto, Länsi-Suomi, Manner-Suomi, 33720, Suomi",61.44964205,23.85877462,edu, +00b08d22abc85361e1c781d969a1b09b97bc7010,Who is the hero? semi-supervised person re-identification in videos,Finland,Finland,Finland,61.92411000,25.74815110,edu, 00d6e5a1b347463f6aeb08a10cd912273c9d1347,1 FACE RECOGNITION VENDOR TEST 2002 : EVALUATION REPORT,DARPA,DARPA,"3701 Fairfax Dr, Arlington, VA 22203, USA",38.88334130,-77.10459770,mil,"3701 N. Fairfax Dr., Arlington, VA 22203" 00d6e5a1b347463f6aeb08a10cd912273c9d1347,1 FACE RECOGNITION VENDOR TEST 2002 : EVALUATION REPORT,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, 00d6e5a1b347463f6aeb08a10cd912273c9d1347,1 FACE RECOGNITION VENDOR TEST 2002 : EVALUATION REPORT,National Institute of Standards and Technology,National Institute of Standards and Technology,"National Institute of Standards and Technology, Summer Walk Drive, Diamond Farms, Gaithersburg, Montgomery County, Maryland, 20878, USA",39.12549380,-77.22293475,edu, @@ -14190,10 +17479,14 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric 00f5bfc2fb760249ba4e9c72b72eea4574068339,VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 000aac6ba1c67150d2d6fcc9acbe484b24de4c06,A Picture Is Worth a Thousand Tags: Automatic Web Based Image Tag Expansion,University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 00075519a794ea546b2ca3ca105e2f65e2f5f471,"Generating a Large , Freely-Available Dataset for Face-Related Algorithms",Amherst College,Amherst College,"Amherst College, Boltwood Avenue, Amherst, Hampshire, Massachusetts, 01004, USA",42.37289000,-72.51881400,edu, +00c4325c669c52db182390b2ab4a2b9c20f06b8d,A False Trail to Follow: Differential Effects of the Facial Feedback Signals From the Upper and Lower Face on the Recognition of Micro-Expressions,China,China,China,35.86166000,104.19539700,edu, +00c4325c669c52db182390b2ab4a2b9c20f06b8d,A False Trail to Follow: Differential Effects of the Facial Feedback Signals From the Upper and Lower Face on the Recognition of Micro-Expressions,China,China,China,35.86166000,104.19539700,edu, 00c4325c669c52db182390b2ab4a2b9c20f06b8d,A False Trail to Follow: Differential Effects of the Facial Feedback Signals From the Upper and Lower Face on the Recognition of Micro-Expressions,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, 00ebc3fa871933265711558fa9486057937c416e,Collaborative Representation based Classification for Face Recognition,Hong Kong Polytechnic University,Hong Kong Polytechnic University,"hong kong, 11, 育才道 Yuk Choi Road, 尖沙咀 Tsim Sha Tsui, 油尖旺區 Yau Tsim Mong District, 九龍 Kowloon, HK, 00000, 中国",22.30457200,114.17976285,edu, 00ebc3fa871933265711558fa9486057937c416e,Collaborative Representation based Classification for Face Recognition,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +00ebc3fa871933265711558fa9486057937c416e,Collaborative Representation based Classification for Face Recognition,China,China,China,35.86166000,104.19539700,edu, 00a6d711f2bf7974384d2f4b5e61d0bbc493a6b7,Adaptive Margin Nearest Neighbor for Person Re-Identification,Wuhan University of Technology,Wuhan University of Technology,"武汉理工大学-余家头校区, 交通二路, 杨园街道, 武昌区 (Wuchang), 武汉市, 湖北省, 430062, 中国",30.60903415,114.35142840,edu, +00a6d711f2bf7974384d2f4b5e61d0bbc493a6b7,Adaptive Margin Nearest Neighbor for Person Re-Identification,China,China,China,35.86166000,104.19539700,edu, 006af49a030aa5b17046cfaf40de8f9246b96adf,Super-Resolution on Image and Video,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 006af49a030aa5b17046cfaf40de8f9246b96adf,Super-Resolution on Image and Video,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 006af49a030aa5b17046cfaf40de8f9246b96adf,Super-Resolution on Image and Video,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -14210,12 +17503,15 @@ de3245c795bc50ebdb5d929c8da664341238264a,Generative Model With Coordinate Metric 00a967cb2d18e1394226ad37930524a31351f6cf,Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, 00a967cb2d18e1394226ad37930524a31351f6cf,Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, 00a967cb2d18e1394226ad37930524a31351f6cf,Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification,"IBM Research, North Carolina",IBM Research,"IBM, East Cornwallis Road, Research Triangle Park, Nelson, Durham County, North Carolina, 27709, USA",35.90422720,-78.85565763,company, +00e8968c5922b71bf3be2e9733fce82f3c40cf44,Neuronal fiber pathway abnormalities in autism: an initial MRI diffusion tensor tracking study of hippocampo-fusiform and amygdalo-fusiform pathways.,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, 00e8968c5922b71bf3be2e9733fce82f3c40cf44,Neuronal fiber pathway abnormalities in autism: an initial MRI diffusion tensor tracking study of hippocampo-fusiform and amygdalo-fusiform pathways.,University of Kentucky,University of Kentucky,"University of Kentucky, Columbia Avenue, Sorority Circle, Lexington, Fayette County, Kentucky, 40508, USA",38.03337420,-84.50177580,edu, 004053203529d86d7c753ed5bc54f00f4888acec,Combinatorial and statistical methods for part selection for object recognition,State University of New Jersey,The State University of New Jersey,"Rutgers New Brunswick: Livingston Campus, Joyce Kilmer Avenue, Piscataway Township, Middlesex County, New Jersey, 08854, USA",40.51865195,-74.44099801,edu, 00823e6c0b6f1cf22897b8d0b2596743723ec51c,Understanding and Comparing Deep Neural Networks for Age and Gender Classification,Singapore University of Technology and Design,Singapore University of Technology and Design,"Singapore University of Technology and Design, Simpang Bedok, Changi Business Park, Southeast, 486041, Singapore",1.34021600,103.96508900,edu, 009a18d04a5e3ec23f8ffcfc940402fd8ec9488f,Action Recognition by Weakly-Supervised Discriminative Region Localization.,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, 0055c7f32fa6d4b1ad586d5211a7afb030ca08cc,Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, +0055c7f32fa6d4b1ad586d5211a7afb030ca08cc,Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 0055c7f32fa6d4b1ad586d5211a7afb030ca08cc,Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +0055c7f32fa6d4b1ad586d5211a7afb030ca08cc,Deep Learning for Detecting Multiple Space-Time Action Tubes in Videos,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, af2531b3834b92275a3353e4b2426217ddc4a839,Probabilistic multiple face detection and tracking using entropy measures,University of Thessaloniki,University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, af2531b3834b92275a3353e4b2426217ddc4a839,Probabilistic multiple face detection and tracking using entropy measures,University of Thessaloniki,University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, af55a25cdd3a2c138e755d5206b35457c1f5760b,DistInit: Learning Video Representations without a Single Labeled Video,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -14227,6 +17523,7 @@ af6c3c4826137ef638ded6ea1664e14a53d23798,Crowdsourcing Question-Answer Meaning R afdf9a3464c3b015f040982750f6b41c048706f5,A Recurrent Encoder-Decoder Network for Sequential Face Alignment,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, afdf9a3464c3b015f040982750f6b41c048706f5,A Recurrent Encoder-Decoder Network for Sequential Face Alignment,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, af1a6c35f5d75122756d37faed062d5b5cd6bc71,12 Emotion Modelling and Facial Affect Recognition in Human-Computer and Human-Robot Interaction,National Technical University of Athens,National Technical University of Athens,"Εθνικό Μετσόβιο Πολυτεχνείο, Στουρνάρη, Μουσείο, Αθήνα, Δήμος Αθηναίων, Π.Ε. Κεντρικού Τομέα Αθηνών, Περιφέρεια Αττικής, Αττική, 11250, Ελλάδα",37.98782705,23.73179733,edu, +af9d41c598fc5ae57b20948cf664273da4664931,A comparison of crowd commotion measures from generative models,Istituto Italiano di Tecnologia,Istituto Italiano di Tecnologia,"77 Massachusetts Ave, Cambridge, MA 02139, USA",42.36009100,-71.09416000,edu, af7cab9b4a2a2a565a3efe0a226c517f47289077,Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, af7cab9b4a2a2a565a3efe0a226c517f47289077,Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, af6e6167223aa7936c11668a3de655baac4ab1f3,FACIAL PARTS RECOGNITION USING LIFTING WAVELET FILTERS LEARNED BY KURTOSIS-MINIMIZATION,Kyushu University,Kyushu University,"伊都ゲストハウス, 桜井太郎丸線, 西区, 福岡市, 福岡県, 九州地方, 819−0395, 日本",33.59914655,130.22359848,edu, @@ -14234,6 +17531,8 @@ af386bb1b5e8c9f65b3ae836198a93aa860d6331,Revisiting Dilated Convolution: A Simpl af31ef1e81c1132f186d7aebb141d7f59a815010,Domain-specific progressive sampling of face images,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, af31ef1e81c1132f186d7aebb141d7f59a815010,Domain-specific progressive sampling of face images,"London, United Kingdom","London, United Kingdom","London, Greater London, England, SW1A 2DU, UK",51.50732190,-0.12764740,edu, af58701bdd28a49d234ba87d8f1b90d1f001184e,Part-based pose estimation with local and non-local contextual information,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +af95ba2c08cf3317291dad554488dd951cd6ff80,Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +af95ba2c08cf3317291dad554488dd951cd6ff80,Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, afd9c334973b935284dde768afd15e059eaa825b,Comparative Analysis of the Variability of Facial Landmarks for Forensics Using CCTV Images,Universidad Autonoma de Madrid,Universidad Autonoma de Madrid,"Facultad de Medicina de la Universidad Autónoma de Madrid, Calle de Arturo Duperier, Fuencarral, Fuencarral-El Pardo, Madrid, Área metropolitana de Madrid y Corredor del Henares, Comunidad de Madrid, 28001, España",40.48256135,-3.69060790,edu, afb3a84b7daa92d6e1894f5fefe9b38904976d7d,Generative adversarial network-based image super-resolution using perceptual content losses,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, af2c7b9adbf898b251d3d5d0659fd21fcd0197ba,Contextual Combination of Appearance and Motion for Intersection Videos with Vehicles and Pedestrians,University of Nevada,University of Nevada,"Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA",39.54694490,-119.81346566,edu, @@ -14242,16 +17541,24 @@ af3d8552d31843136acc8eae994842c0cd5262b5,Deep Dual Pyramid Network for Barcode S af3d8552d31843136acc8eae994842c0cd5262b5,Deep Dual Pyramid Network for Barcode Segmentation using Barcode-30k Database,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, afde6c95ca696de65599a27590b31112a3eb6f6d,A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, af5a0812664b4a5068d6b2349baf520d3f6beec2,Extended HOG-CLBC for pedstrain detection,China University of Mining and Technology,China University of Mining and Technology,"China University of Mining and Technology, 1号, 大学路, 泉山区 (Quanshan), 徐州市 / Xuzhou, 江苏省, 221116, 中国",34.21525380,117.13985410,edu, +af5a0812664b4a5068d6b2349baf520d3f6beec2,Extended HOG-CLBC for pedstrain detection,China,China,China,35.86166000,104.19539700,edu, af370cbe392b7fb2b9f26476a7e063e0f4c46815,Development of Neural Sensitivity to Face Identity Correlates with Perceptual Discriminability.,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, af370cbe392b7fb2b9f26476a7e063e0f4c46815,Development of Neural Sensitivity to Face Identity Correlates with Perceptual Discriminability.,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, af405d9a70846214a0e3218ff7dd28b051ac4aef,Modelling and unsupervised learning of symmetric deformable object categories,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, af405d9a70846214a0e3218ff7dd28b051ac4aef,Modelling and unsupervised learning of symmetric deformable object categories,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, afe987d36438efaa2b5116c444b5fc47462f11d9,SALL-E: Situated Agent for Language Learning,University of Rochester,University of Rochester,"Memorial Art Gallery, 500, University Avenue, East End, Rochester, Monroe County, New York, 14607, USA",43.15769690,-77.58829158,edu, afd492a598476b5a9b13e2b6d28a76b0707c0a35,Open-set Person Re-identification,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +afd492a598476b5a9b13e2b6d28a76b0707c0a35,Open-set Person Re-identification,China,China,China,35.86166000,104.19539700,edu, afb3bc6854003c7cc9e94cb16d62ef353b5a6569,Human layout estimation using structured output learning,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +af6e351d58dba0962d6eb1baf4c9a776eb73533f,How to Train Your Deep Neural Network with Dictionary Learning,India,India,India,20.59368400,78.96288000,edu, +af6e351d58dba0962d6eb1baf4c9a776eb73533f,How to Train Your Deep Neural Network with Dictionary Learning,India,India,India,20.59368400,78.96288000,edu, +af6e351d58dba0962d6eb1baf4c9a776eb73533f,How to Train Your Deep Neural Network with Dictionary Learning,India,India,India,20.59368400,78.96288000,edu, +af9a830f62478c3638880d9a870f0b10535b3f92,Hausdorff distance-based multiresolution maps applied to image similarity measure,9,9,"7401 N Kelley Ave, Oklahoma City, OK 73111, USA",35.54818540,-97.49650490,edu, afe9cfba90d4b1dbd7db1cf60faf91f24d12b286,Principal Directions of Synthetic Exact Filters for Robust Real-Time Eye Localization,University of Ljubljana,University of Ljubljana,"UL Fakulteta za računalništvo in informatiko, 113, Večna pot, Vrtača, Rožna dolina, Ljubljana, Upravna Enota Ljubljana, Osrednjeslovenska, 1000, Slovenija",46.05015580,14.46907327,edu, af278274e4bda66f38fd296cfa5c07804fbc26ee,A Novel Maximum Entropy Markov Model for Human Facial Expression Recognition,SungKyunKwan University,SungKyunKwan University,"성균관대, 덕영대로, 천천동, 장안구, 수원시, 경기, 16357, 대한민국",37.30031270,126.97212300,edu, af278274e4bda66f38fd296cfa5c07804fbc26ee,A Novel Maximum Entropy Markov Model for Human Facial Expression Recognition,Kyung Hee University,Kyung Hee University,"Kyung Hee Tae Kwon Do, Vons 2370 Truck Service Ramp, University City, San Diego, San Diego County, California, 92122, USA",32.85363330,-117.20352860,edu, +af278274e4bda66f38fd296cfa5c07804fbc26ee,A Novel Maximum Entropy Markov Model for Human Facial Expression Recognition,Russia,Russia,Russia,61.52401000,105.31875600,edu, +af283064e5af079a4a49a8641a2e4cc08e583a59,Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks,Multimedia University,Multimedia University,"Universiti Multimedia, Persiaran Neuron, Bandar Nusaputra, Cyberjaya, Selangor, 63000, Malaysia",2.92749755,101.64185301,edu, af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images Using a Mixture of Convolutional Neural Networks,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, @@ -14261,6 +17568,7 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U 39db629b96eda72a23a49d54f32689e0651ca4ae,Applying artificial vision models to human scene understanding,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, 39db629b96eda72a23a49d54f32689e0651ca4ae,Applying artificial vision models to human scene understanding,Boston College,Boston College,"Boston College, 140, Commonwealth Avenue, Chestnut Hill, Newton, Middlesex County, Massachusetts, 02467, USA",42.33544810,-71.16813864,edu, 390cc673792dbf47939f621aef5bb774ca01dc46,Isotropic Granularity-tunable gradients partition (IGGP) descriptors for human detection,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, +390cc673792dbf47939f621aef5bb774ca01dc46,Isotropic Granularity-tunable gradients partition (IGGP) descriptors for human detection,Finland,Finland,Finland,61.92411000,25.74815110,edu, 398dbeafe5c96b90a243d408b1280524be5bbab2,VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 398dbeafe5c96b90a243d408b1280524be5bbab2,VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, 398dbeafe5c96b90a243d408b1280524be5bbab2,VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition,Boston University,Boston University,"BU, Bay State Road, Fenway, Boston, Suffolk County, Massachusetts, 02215, USA",42.35042530,-71.10056114,edu, @@ -14277,6 +17585,7 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U 39b741be40e093f92519cd15cd2deb6e114d6200,Joint Probabilistic Data Association Revisited,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 39b741be40e093f92519cd15cd2deb6e114d6200,Joint Probabilistic Data Association Revisited,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, 3983637022992a329f1d721bed246ae76bc934f7,Wide-baseline stereo for face recognition with large pose variation,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +397400dd7c31e47f8dec20a742695abed297a150,An integrated vision-based architecture for home security system,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 396a19e29853f31736ca171a3f40c506ef418a9f,Real World Real-time Automatic Recognition of Facial Expressions,IBM Thomas J. Watson Research Center,IBM Thomas J. Watson Research Center,"IBM Yorktown research lab, Adams Road, Millwood, Town of New Castle, Westchester County, New York, 10562, USA",41.21002475,-73.80407056,company, 39742f9b3a9f7adefbe936de68249148576b90da,Alcohol and remembering a hypothetical sexual assault: Can people who were under the influence of alcohol during the event provide accurate testimony?,Loughborough University,Loughborough University,"Computer Science, University Road, Charnwood, Leicestershire, East Midlands, England, LE11 3TP, UK",52.76635770,-1.22924610,edu, 3939778ca4175aeccbc31d310f9b3ec8676a5030,Boosted Dynamic Mixture Active Shape Model For MultiView Face Alignment,University of New South Wales,University of New South Wales,"UNSW, International Square, UNSW, Kensington, Bay Gardens, Sydney, Randwick, NSW, 2033, Australia",-33.91758275,151.23124025,edu, @@ -14287,6 +17596,9 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U 39f03d1dfd94e6f06c1565d7d1bb14ab0eee03bc,Simultaneous Local Binary Feature Learning and Encoding for Face Recognition,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 39f03d1dfd94e6f06c1565d7d1bb14ab0eee03bc,Simultaneous Local Binary Feature Learning and Encoding for Face Recognition,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, 3900fb44902396f94fb070be41199b4beecc9081,Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +3958db5769c927cfc2a9e4d1ee33ecfba86fe054,Describable Visual Attributes for Face Verification and Image Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +3958db5769c927cfc2a9e4d1ee33ecfba86fe054,Describable Visual Attributes for Face Verification and Image Search,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +39675124e4fe1be08f42bdd2e1e237e5a87839ba,"Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation",Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 392d35bb359a3b61cca1360272a65690a97a2b3f,Multi-Task Transfer Methods to Improve One-Shot Learning for Multimedia Event Detection,Simon Fraser University,Simon Fraser University,"SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada",49.27674540,-122.91777375,edu, 395e007cf11dd3082d059b8c96dcffae628ffb4f,Learning-Based Incremental Creation of Web Image Databases,Alexandria University,Alexandria University,"جامعة الإسكندرية, الكورنيش, إبراهيمية, الإسكندرية, 21522, مصر",31.21051105,29.91314562,edu, 3991223b1dc3b87883cec7af97cf56534178f74a,A unified framework for context assisted face clustering,"University of California, Irvine","University of California, Irvine","University of California, Irvine, East Peltason Drive, Turtle Rock, Irvine, Orange County, California, 92612, USA",33.64319010,-117.84016494,edu, @@ -14297,6 +17609,9 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U 39f48090df19dd0122590ef839226f8b2bcbe609,The MPI Emotional Body Expressions Database for Narrative Scenarios,Korea University,Korea University,"고려대, 안암로, 제기동, 동대문구, 서울특별시, 02796, 대한민국",37.59014110,127.03623180,edu, 391af839051826ec317a6ea61010734baf536551,Question-Guided Hybrid Convolution for Visual Question Answering,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 39223c8e64221062cd992e7e89e6db858014eac1,Progressive Recurrent Learning for Visual Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +399f973a59493280db9686ebd9e7e218ce74a5bd,Face Recognition System – A Survey,India,India,India,20.59368400,78.96288000,edu, +399f973a59493280db9686ebd9e7e218ce74a5bd,Face Recognition System – A Survey,India,India,India,20.59368400,78.96288000,edu, +390f3d7cdf1ce127ecca65afa2e24c563e9db93b,Learning and Transferring Multi-task Deep Representation for Face Alignment,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 397f343180dc4c9f40c1c706217956126a09d157,Face-Cap: Image Captioning using Facial Expression Analysis,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 3983370efe7a7521bde255017171724d845b3383,Learning Discriminators as Energy Networks in Adversarial Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, 3983370efe7a7521bde255017171724d845b3383,Learning Discriminators as Energy Networks in Adversarial Learning,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, @@ -14313,7 +17628,9 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U 39e4dfa4ec7e2bee44a9c5b940e640eb39c3442f,An Intersectional Definition of Fairness,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 39e55283e6eb3f0f9db07cf1b20e0de8d5aac10e,Diverse Image Captioning via GroupTalk,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, 39c54d22a0f29605f96ab57720cde8c6aa743c10,Human Instance Segmentation from Video using Detector-based Conditional Random Fields,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, +39c54d22a0f29605f96ab57720cde8c6aa743c10,Human Instance Segmentation from Video using Detector-based Conditional Random Fields,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 39c54d22a0f29605f96ab57720cde8c6aa743c10,Human Instance Segmentation from Video using Detector-based Conditional Random Fields,Oxford University,Oxford University,"University College, Logic Lane, Grandpont, Oxford, Oxon, South East, England, OX1 4EX, UK",51.75208490,-1.25166460,edu, +39c54d22a0f29605f96ab57720cde8c6aa743c10,Human Instance Segmentation from Video using Detector-based Conditional Random Fields,"Oxford, UK","Oxford, UK","Oxford, UK",51.75202090,-1.25772630,edu, 3946b8f862ecae64582ef0912ca2aa6d3f6f84dc,Who and Where: People and Location Co-Clustering,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, 397349476582198639abc7a8b933e350cbc24c37,2 D & 3 D-ComFusFace : 2 D and 3 D Face Recognition by Scalable Fusion of Common Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 397349476582198639abc7a8b933e350cbc24c37,2 D & 3 D-ComFusFace : 2 D and 3 D Face Recognition by Scalable Fusion of Common Features,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, @@ -14323,6 +17640,7 @@ af1eab707e690e73a5b9073ed07a0436fd4e0b66,Adult Content Recognition from Images U 394bf41cd8578ec10cd34452c688c3e3de1c16a7,Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence,National Tsing Hua University,National Tsing Hua University,"國立清華大學, 101, 克恭橋, 光明里, 赤土崎, 東區, 新竹市, 30013, 臺灣",24.79254840,120.99511830,edu, a20f132a30e99541aa7ba6dddac86e6a393778e8,Self Attention Grid for Person Re-Identification,University of Electronic Science and Technology of China,University of Electronic Science and Technology of China,"Columbus, OH 43210, USA",40.01419050,-83.03091430,edu, a25d12d3eaaba6ec8ef4a2690068e9fbd74b977a,Morph: Flexible Acceleration for 3D CNN-based Video Understanding,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, +a2dd13729206a7434ef1f0cd016275c0d6f3bb6d,SFV: Reinforcement Learning of Physical Skills from Videos,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, a29a22878e1881d6cbf6acff2d0b209c8d3f778b,Benchmarking still-to-video face recognition via partial and local linear discriminant analysis on COX-S2V dataset,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, a29a22878e1881d6cbf6acff2d0b209c8d3f778b,Benchmarking still-to-video face recognition via partial and local linear discriminant analysis on COX-S2V dataset,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, a29a22878e1881d6cbf6acff2d0b209c8d3f778b,Benchmarking still-to-video face recognition via partial and local linear discriminant analysis on COX-S2V dataset,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, @@ -14351,7 +17669,9 @@ a287643d3eddca3dcc09b3532f2b070a28d4a022,Real-time Human Pose Estimation from Vi a287643d3eddca3dcc09b3532f2b070a28d4a022,Real-time Human Pose Estimation from Video with Convolutional Neural Networks,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, a2d1818eb461564a5153c74028e53856cf0b40fd,Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition,Tencent,"Tencent AI Lab, China","Ke Ji Zhong Yi Lu, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057",22.54471540,113.93571640,company,"Keji Middle 1st Rd, Nanshan Qu, Shenzhen Shi, Guangdong Sheng, China, 518057" a2e3c367995a238155f0b180743d5487ecdf8df5,Novel Modular Weightless Neural Architectures for Biometrics-based Recognition,University of Kent,University of Kent,"University of Kent, St. Stephen's Hill, Hackington, Canterbury, Kent, South East, England, CT2 7AS, UK",51.29753440,1.07296165,edu, +a2fbaa0b849ecc74f34ebb36d1442d63212b29d2,An Efficient Approach to Face Recognition of Surgically Altered Images,India,India,India,20.59368400,78.96288000,edu, a213405441c68a0ce415a4a842bdd6ac62c1667b,Enhancement of SSD by concatenating feature maps for object detection.,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, +a25106a76af723ba9b09308a7dcf4f76d9283589,Local Octal Pattern : A Proficient Feature Extraction for Face Recognition,India,India,India,20.59368400,78.96288000,edu, a25106a76af723ba9b09308a7dcf4f76d9283589,Local Octal Pattern : A Proficient Feature Extraction for Face Recognition,Anna University,Anna University,"Anna University, Nuclear Physics Road, Srinagar Colony, Ward 171, Zone 13 Adyar, Chennai, Chennai district, Tamil Nadu, 600025, India",13.01058380,80.23537360,edu, a213bbf9740854a276fdf71dad8f30cfbe3ea4d4,The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, a213bbf9740854a276fdf71dad8f30cfbe3ea4d4,The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, @@ -14379,6 +17699,8 @@ f3906c390e378ece7f785fb553e0b89c2cbfeeb2,Automatic 3D Facial Region Retrieval fr f367feef8f486966916bd0769de8c7b5a59250b1,Direct Shot Correspondence Matching,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, f367feef8f486966916bd0769de8c7b5a59250b1,Direct Shot Correspondence Matching,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, f328137ba1924c8b451be32c7bd8d1d9a5c392d6,Relative Attribute Learning with Deep Attentive Cross-image Representation,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +f3ec43a7b22f6e5414fec473acda8ffd843e7baf,A Coupled Evolutionary Network for Age Estimation,China,China,China,35.86166000,104.19539700,edu, +f3ec43a7b22f6e5414fec473acda8ffd843e7baf,A Coupled Evolutionary Network for Age Estimation,China,China,China,35.86166000,104.19539700,edu, f3ec43a7b22f6e5414fec473acda8ffd843e7baf,A Coupled Evolutionary Network for Age Estimation,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, f3a9baff7b059c528a7f72dd458db569892ee29c,"Spectral Matching , Learning , and Inference using Pairwise Interactions",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, f3a9baff7b059c528a7f72dd458db569892ee29c,"Spectral Matching , Learning , and Inference using Pairwise Interactions",Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, @@ -14389,14 +17711,24 @@ f3c01802d226a228df623d3bc289333f05bf55d3,Recognition and Classification of Rotor f312fce73aabd97bf4fc02fe2829f6959e251b1e,Runtime Support for Human-in-the-Loop Feature Engineering System,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, f312fce73aabd97bf4fc02fe2829f6959e251b1e,Runtime Support for Human-in-the-Loop Feature Engineering System,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, f312fce73aabd97bf4fc02fe2829f6959e251b1e,Runtime Support for Human-in-the-Loop Feature Engineering System,University of Michigan,University of Michigan,"University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA",42.29421420,-83.71003894,edu, +f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38,AUTOMATIC IMAGE ANNOTATION MODEL USING LSTM APPROACH,India,India,India,20.59368400,78.96288000,edu, +f3b24cdbd1e7fd94d7ad1fa077dfa051bcc8aa38,AUTOMATIC IMAGE ANNOTATION MODEL USING LSTM APPROACH,India,India,India,20.59368400,78.96288000,edu, f302185b1416d8b47620c67b3942a8675bbb4679,Domain Adapted Word Embeddings for Improved Sentiment Classification,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, f3015be0f9dbc1a55b6f3dc388d97bb566ff94fe,A study on the effective approach to illumination-invariant face recognition based on a single image,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, +f3015be0f9dbc1a55b6f3dc388d97bb566ff94fe,A study on the effective approach to illumination-invariant face recognition based on a single image,China,China,China,35.86166000,104.19539700,edu, f3fc96377dc3456948fd3431ce940258926ce04e,Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images,Khalifa University,Khalifa University,"Khalifa University, شارع طَوِي مُوَيلِح, قصر الشاطئ, حدبة الزَّعْفرانة, أبوظبي, أبو ظبي, 31757, الإمارات العربية المتحدة",24.44690250,54.39425630,edu, f3df296de36b7c114451865778e211350d153727,Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields,University of Denver,University of Denver,"University of Denver, Driscoll Bridge, Denver, Denver County, Colorado, 80208, USA",39.67665410,-104.96220300,edu, f397b8c835425e4b18cc7d9088b7f810c6cf2563,Yimo Guo IMAGE AND VIDEO ANALYSIS BY LOCAL DESCRIPTORS AND DEFORMABLE IMAGE REGISTRATION,University of Oulu,University of Oulu,"Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi",65.05921570,25.46632601,edu, f33ef5b2707078528f23e067565f992f4b03f4a7,Actor and Observer: Joint Modeling of First and Third-Person Videos,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +f34a6c1bc9a7872c8dc4c35b678f87bb966ab0ab,"PHOG-derived aesthetic measures applied to color photographs of artworks, natural scenes and objects",Friedrich Schiller University Jena,"Computer Vision Group, Friedrich Schiller University Jena, Germany","Ernst-Abbe-Platz 2, 07743 Jena, Germany",50.92776710,11.58217290,edu, f3a57b32a53db39b188879c4ce2c22d6929f43e0,SOT for MOT,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +f3a57b32a53db39b188879c4ce2c22d6929f43e0,SOT for MOT,China,China,China,35.86166000,104.19539700,edu, +f3a57b32a53db39b188879c4ce2c22d6929f43e0,SOT for MOT,China,China,China,35.86166000,104.19539700,edu, +f3a57b32a53db39b188879c4ce2c22d6929f43e0,SOT for MOT,China,China,China,35.86166000,104.19539700,edu, +f3a57b32a53db39b188879c4ce2c22d6929f43e0,SOT for MOT,China,China,China,35.86166000,104.19539700,edu, +f3f65a8113d6a2dcbc690fd47dfee2dff0f41097,Generating 3D Faces Using Convolutional Mesh Autoencoders,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, f3a1246d3a0c7de004db9ef9f312bcedb5e22532,Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, +f3a1246d3a0c7de004db9ef9f312bcedb5e22532,Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval,China,China,China,35.86166000,104.19539700,edu, f3a1246d3a0c7de004db9ef9f312bcedb5e22532,Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, f3e55a4d86246cc50226b5c07b8962938c5d98d9,On the neural control of social emotional behavior.,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, f38cedfd93f421058682c30635a64fc0a2498192,Understanding Deep Convolutional Networks through Gestalt Theory,Democritus University of Thrace,Democritus University of Thrace,"Δημοκρίτειο Πανεπιστήμιο Θράκης, Μάκρη - Αλεξανδρούπολη, Αλεξανδρούπολη, Δήμος Αλεξανδρούπολης, Περιφερειακή Ενότητα Έβρου, Περιφέρεια Ανατολικής Μακεδονίας και Θράκης, Μακεδονία - Θράκη, 68100, Ελλάδα",40.84941785,25.83444939,edu, @@ -14405,8 +17737,12 @@ f3ca2c43e8773b7062a8606286529c5bc9b3ce25,Deep Clustering via Joint Convolutional f3ca2c43e8773b7062a8606286529c5bc9b3ce25,Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization,University of Texas at Arlington,University of Texas at Arlington,"University of Texas at Arlington, South Nedderman Drive, Arlington, Tarrant County, Texas, 76010, USA",32.72836830,-97.11201835,edu, f3ca2c43e8773b7062a8606286529c5bc9b3ce25,Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, f3ca2c43e8773b7062a8606286529c5bc9b3ce25,Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, +f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c,Cross-domain attribute representation based on convolutional neural network,China,China,China,35.86166000,104.19539700,edu, +f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c,Cross-domain attribute representation based on convolutional neural network,China,China,China,35.86166000,104.19539700,edu, +f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c,Cross-domain attribute representation based on convolutional neural network,China,China,China,35.86166000,104.19539700,edu, f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c,Cross-domain attribute representation based on convolutional neural network,Northwestern Polytechnical University,Northwestern Polytechnical University,"西北工业大学 友谊校区, 127号, 友谊西路, 长安路, 碑林区 (Beilin), 西安市, 陕西省, 710072, 中国",34.24691520,108.91061982,edu, f39b94e1ab8beeaf05f28c7bbc08664b7c37ed8c,Cross-domain attribute representation based on convolutional neural network,Soochow University,Soochow University,"苏州大学(天赐庄校区), 清荫路, 钟楼社区, 双塔街道, 姑苏区, 苏州市, 江苏省, 215001, 中国",31.30709510,120.63573987,edu, +f36647e63a11486ef9cf7a5a1c86a40fda5d408a,CS 229 Final Report : Artistic Style Transfer for Face Portraits,k,k,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, f3fed71cc4fc49b02067b71c2df80e83084b2a82,Learning Sparse Latent Representations with the Deep Copula Information Bottleneck,University of Basel,University of Basel,"Faculty of Psychology, University of Basel, 60-62, Missionsstrasse, Grossbasel, Am Ring, Basel, Basel-Stadt, 4055, Schweiz/Suisse/Svizzera/Svizra",47.56126510,7.57529610,edu, f39d3ed10131f986be5fb8a10b77d44bc9feada8,Boosting with Side Information,GE Global Research Center,GE Global Research Center,"GE Global Research Center, Aqueduct, Niskayuna, Schenectady County, New York, USA",42.82982480,-73.87719385,edu, f39d3ed10131f986be5fb8a10b77d44bc9feada8,Boosting with Side Information,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, @@ -14420,7 +17756,9 @@ f3ab1f95a3d7db15cb7c94cac0de015101e60326,Incremental Segmentation on Private Dat f38ad869023c43b59431a3bb55f2fe8fb6ff0f05,eview systematic review and meta-analysis of the fMRI investigation of autism pectrum disorders,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, f38ad869023c43b59431a3bb55f2fe8fb6ff0f05,eview systematic review and meta-analysis of the fMRI investigation of autism pectrum disorders,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, f38ad869023c43b59431a3bb55f2fe8fb6ff0f05,eview systematic review and meta-analysis of the fMRI investigation of autism pectrum disorders,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, +f3cb97791ded4a5c3bed717f820215a1c9648226,Multi-scale Block Weber Local Descriptor for Face Recognition,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, f3cb97791ded4a5c3bed717f820215a1c9648226,Multi-scale Block Weber Local Descriptor for Face Recognition,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +f3b7938de5f178e25a3cf477107c76286c0ad691,Object Detection with Deep Learning: A Review,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, f3f77b803b375f0c63971b59d0906cb700ea24ed,Feature Extraction for Facial Expression Recognition based on Hybrid Face Regions,RMIT University,RMIT University,"RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia",-37.80874650,144.96388750,edu, f39fc7c420277616eea29754d0d367297c6f02c1,Feature extraction based on co-occurrence of adjacent local binary patterns,University of Tsukuba,University of Tsukuba,"University of Tsukuba, つばき通り, Kananemoto-satsukabe village, つくば市, 茨城県, 関東地方, 305-8377, 日本",36.11120580,140.10551760,edu, f3880d1067915bbbaa0c47a736f46f488185250e,Illumination Normalization for Outdoor Face Recognition by Using Ayofa-filters,Osaka University,Osaka University,"大阪大学清明寮, 服部西町四丁目, 豊中市, 大阪府, 近畿地方, 日本",34.80809035,135.45785218,edu, @@ -14447,14 +17785,18 @@ f3a59d85b7458394e3c043d8277aa1ffe3cdac91,Query-Free Attacks on Industry-Grade Fa 93f37c69dd92c4e038710cdeef302c261d3a4f92,Compressed Video Action Recognition,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 93cba94ff0ff96f865ce24ea01e9c006369d75ff,Knowledge Aided Consistency for Weakly Supervised Phrase Grounding,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 932f58b4d6bd3bcecc5feadd82ebbf07e94583b9,HSR: L 1/2-regularized sparse representation for fast face recognition using hierarchical feature selection,Ocean University of China,Ocean University of China,"中国海洋大学, 238, 松岭路 Sōnglǐng Road, 朱家洼, 崂山区 (Laoshan), 青岛市, 山东省, 266100, 中国",36.16161795,120.49355276,edu, +932f58b4d6bd3bcecc5feadd82ebbf07e94583b9,HSR: L 1/2-regularized sparse representation for fast face recognition using hierarchical feature selection,China,China,China,35.86166000,104.19539700,edu, 93420d9212dd15b3ef37f566e4d57e76bb2fab2f,An All-In-One Convolutional Neural Network for Face Analysis,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 938acfc9001174fdf9007e5dea2cfc993a0b9a09,Disentangling Factors of Variation by Mixing Them,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, 93721023dd6423ab06ff7a491d01bdfe83db7754,ROBUST FACE ALIGNMENT USING CONVOLUTIONAL NEURAL NETWORKS,Orange,Orange Labs,"78 Rue Olivier de Serres, 75015 Paris, France",48.83321220,2.29421550,company,"78 Rue Olivier de Serres, Paris, 75015" 936a4af585f9a7d3b95c078ad31e8e41e22cb406,Adaptive sampling for large scale boosting,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, 93df4ef2e1a9a99c514a69f9b7a22850fd1e00c1,The definitions of three‐dimensional landmarks on the human face: an interdisciplinary view,Dublin City University,DUBLIN CITY UNIVERSITY,"Dublin City University Glasnevin Campus, Lower Car Park, Wad, Whitehall A ED, Dublin 9, Dublin, County Dublin, Leinster, D09 FW22, Ireland",53.38522185,-6.25740874,edu, 93971a49ef6cc88a139420349a1dfd85fb5d3f5c,Scalable Probabilistic Models: Applied to Face Identification in the Wild,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +935ce31268232b25c9f685128ae0ae9e5c3a0e8e,Implementation of Human detection system using DM 3730,India,India,India,20.59368400,78.96288000,edu, +935ce31268232b25c9f685128ae0ae9e5c3a0e8e,Implementation of Human detection system using DM 3730,India,India,India,20.59368400,78.96288000,edu, 933d06908b782279b1127c9ba498d868b26ffe8e,Computers Seeing People,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 939123cf21dc9189a03671484c734091b240183e,Within- and cross- database evaluations for face gender classification via befit protocols,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +935e639bebf905af2e35e8b1e7aa0538d7122185,A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation,China,China,China,35.86166000,104.19539700,edu, 935e639bebf905af2e35e8b1e7aa0538d7122185,A Network Structure to Explicitly Reduce Confusion Errors in Semantic Segmentation,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 9397e7acd062245d37350f5c05faf56e9cfae0d6,DeepFruits: A Fruit Detection System Using Deep Neural Networks,Queensland University of Technology,Queensland University of Technology,"Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia",-27.47715625,153.02841004,edu, 931282732f0be57f7fb895238e94bdda00a52cad,Gated Bi-directional CNN for Object Detection,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, @@ -14478,6 +17820,7 @@ dc83f97a2dd241bf1a9f53ad11d8f10eeb4f5dd6,Pixel Level Data Augmentation for Seman dccd5d00f88cdb59b0680baa86024f14331c38d6,Semantic mapping of road scenes,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, dc9c0527f8d4461b1742cccc7317fec8dd96d81a,Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization,Hefei University of Technology,Hefei University of Technology,"合肥工业大学(屯溪路校区), 193号, 南一环路, 航运南村, 包公街道, 合肥市区, 合肥市, 安徽省, 230009, 中国",31.84691800,117.29053367,edu, dc9c0527f8d4461b1742cccc7317fec8dd96d81a,Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization,Nanyang Technological University,Nanyang Technological University,"NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore",1.34841040,103.68297965,edu, +dcd88a249b480d2e25326cdd11c5879fa31865cc,A Cross-Modal Distillation Network for Person Re-identification in RGB-Depth,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, dcc38db6c885444694f515d683bbb50521ff3990,Learning to Hallucinate Face Images via Component Generation and Enhancement,City University of Hong Kong,City University of Hong Kong,"香港城市大學 City University of Hong Kong, 達康路 Tat Hong Avenue, 大窩坪 Tai Wo Ping, 深水埗區 Sham Shui Po District, 九龍 Kowloon, HK, KIL 3348, 中国",22.34000115,114.16970291,edu, dcc38db6c885444694f515d683bbb50521ff3990,Learning to Hallucinate Face Images via Component Generation and Enhancement,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, dcc38db6c885444694f515d683bbb50521ff3990,Learning to Hallucinate Face Images via Component Generation and Enhancement,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, @@ -14490,8 +17833,12 @@ dcce3d7e8d59041e84fcdf4418702fb0f8e35043,Probabilistic identity characterization dc9d62087ff93a821e6bb8a15a8ae2da3e39dcdd,Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,Indian Institute of Technology Delhi,"IIIT-Delhi, India","IIIT-Delhi, Mathura Road, Friends Colony, South East Delhi, Delhi, 110020, India",28.54632595,77.27325504,edu, +dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, +dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,India,India,India,20.59368400,78.96288000,edu, dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,University of Tokyo,University of Tokyo,"東京大学 柏キャンパス, 学融合の道, 柏市, 千葉県, 関東地方, 277-8583, 日本",35.90204480,139.93622009,edu, +dc47f73f02ab6b84acf8b0c25d8c1f62e148efca,Future Person Localization in First-Person Videos,"Tokyo, Japan","Tokyo, Japan","Tokyo, Japan",35.68948750,139.69170640,edu, dcda558e15e309d8e3158bf2cf8e921cdb59cf5f,Target Aware Network Adaptation for Efficient Representation Learning,"KTH Royal Institute of Technology, Stockholm","KTH Royal Institute of Technology, Stockholm","KTH, Teknikringen, Lärkstaden, Norra Djurgården, Östermalms stadsdelsområde, Sthlm, Stockholm, Stockholms län, Svealand, 114 28, Sverige",59.34986645,18.07063213,edu, dc7df544d7c186723d754e2e7b7217d38a12fcf7,Facial expression recognition using salient facial patches,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" dc7df544d7c186723d754e2e7b7217d38a12fcf7,Facial expression recognition using salient facial patches,"University of Sfax, Tunisia","REGIM-Labo: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia","Université de Route de l'Aéroport Km 0.5 BP 1169 .3029 Sfax, Sfax, Tunisia",34.73610660,10.74272750,edu,"University of Sfax, Tunisia" @@ -14499,6 +17846,7 @@ dc8554b84d2ad7423a3b0339103488e76a591eb0,Compact Design of ECOC for Multi-class dc8554b84d2ad7423a3b0339103488e76a591eb0,Compact Design of ECOC for Multi-class Object Categorization,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu, dcb0afca54aa2bde50319ad5720d613a6eca36c3,Deep Pose Consensus Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, dcb0afca54aa2bde50319ad5720d613a6eca36c3,Deep Pose Consensus Networks,Hanyang University,Hanyang University,"한양대, 206, 왕십리로, 사근동, 성동구, 서울특별시, 04763, 대한민국",37.55572710,127.04366420,edu, +dcb0afca54aa2bde50319ad5720d613a6eca36c3,Deep Pose Consensus Networks,Samsung,"Mechatronics & Manufacturing Technology Center, Samsung Electronics Co., Korea","Seoul, South Korea",37.56653500,126.97796920,company, dc4089294cb15e071893d24bdf2baa15de5dcb0b,Feature selection for subject identification in surveillance photos [face recognition applications],University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, dc16b42a64741df2881604f28788f421e422d297,Cross-view image synthesis using geometry-guided conditional GANs,University of Central Florida,University of Central Florida,"University of Central Florida, Libra Drive, University Park, Orange County, Florida, 32816, USA",28.59899755,-81.19712501,edu, dc45b0f2b18728b7bee65930cceec5542e87db16,ENHANCING THE PERFORMANCE OF ELASTIC GRAPH MATCHING FOR FACE AUTHENTICATION BY USING SUPPORT VECTOR MACHINES,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, @@ -14514,6 +17862,8 @@ dc6a62ddb047bfd1658163b09757f8b3762deeae,Spatial Detection of Vehicles in Images dc6a62ddb047bfd1658163b09757f8b3762deeae,Spatial Detection of Vehicles in Images using Convolutional Neural Networks and Stereo Matching,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, dc6a62ddb047bfd1658163b09757f8b3762deeae,Spatial Detection of Vehicles in Images using Convolutional Neural Networks and Stereo Matching,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, dc6a62ddb047bfd1658163b09757f8b3762deeae,Spatial Detection of Vehicles in Images using Convolutional Neural Networks and Stereo Matching,University of Waterloo,University of Waterloo,"University of Waterloo, 200, University Avenue West, Northdale, Beechwood, Waterloo, Regional Municipality of Waterloo, Ontario, N2L 3G1, Canada",43.47061295,-80.54724732,edu, +dcba9cd587be2ed5437370e12e3591bdde86dc3c,TEMPLATE FOR REGULAR ENTRY,a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, +dc550f361ae82ec6e1a0cf67edf6a0138163382e,Emotion Based Music Player,India,India,India,20.59368400,78.96288000,edu, dcea75410fefbe70a4736fabbf178a951b6743ed,Computer vision based interfaces for computer games,Oxford Brookes University,Oxford Brookes University,"Oxford Brookes University, Headington Road, Headington, Oxford, Oxon, South East, England, OX3 0BL, UK",51.75552050,-1.22615970,edu, dc22d96593e552700f98dd4bf76ee838f9f11145,A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools,National Chung Hsing University,National Chung Hsing University,"國立中興大學, 145, 興大路, 積善里, 頂橋子頭, 南區, 臺中市, 402, 臺灣",24.12084345,120.67571165,edu, dcd283758d77ae5c99d5ecf69e6258c22dd2572c,Scale-aware multi-level guidance for interactive instance segmentation,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, @@ -14522,6 +17872,7 @@ dcf71245addaf66a868221041aabe23c0a074312,S^3FD: Single Shot Scale-Invariant Face dcf71245addaf66a868221041aabe23c0a074312,S^3FD: Single Shot Scale-Invariant Face Detector,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, dc5cde7e4554db012d39fc41ac8580f4f6774045,Video Segmentation by Non-Local Consensus voting,Weizmann Institute of Science,Weizmann Institute of Science,"מכון ויצמן למדע, שדרת מרכוס זיו, מעונות שיין, אחוזות הנשיא, רחובות, מחוז המרכז, NO, ישראל",31.90784990,34.81334092,edu, dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16,Learning deep structured network for weakly supervised change detection,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16,Learning deep structured network for weakly supervised change detection,ShanghaiTech University,"ShanghaiTech University, Shanghai, China","Yueyang Rd, Xuhui Qu, Shanghai Shi, China",31.20254500,121.45308600,edu, dc9b95afcbd972d973f3ae29f05bbc8fa45d6a16,Learning deep structured network for weakly supervised change detection,University of Western Australia,University of Western Australia,"UWA, 35, Underwood Avenue, Daglish, Perth, Western Australia, 6009, Australia",-31.95040445,115.79790037,edu, dc947dc7a948aa8cb8b82f18c0de8707f6064a7d,"""But You Promised"": Methods to Improve Crowd Engagement In Non-Ground Truth Tasks",Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, dc947dc7a948aa8cb8b82f18c0de8707f6064a7d,"""But You Promised"": Methods to Improve Crowd Engagement In Non-Ground Truth Tasks",Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, @@ -14530,6 +17881,7 @@ dcc1512561b342c003b489f9235c0fca527ac0b0,Cross-Task Contributions of Frontobasal dcc1512561b342c003b489f9235c0fca527ac0b0,Cross-Task Contributions of Frontobasal Ganglia Circuitry in Response Inhibition and Conflict-Induced Slowing.,University of Amsterdam,University of Amsterdam,"Institute for Logic, Language and Computation (ILLC), 107, Science Park, Oost-Watergraafsmeer, Amsterdam, Oost, Amsterdam, Noord-Holland, Nederland, 1098XG, Nederland",52.35536550,4.95016440,edu, dcc1512561b342c003b489f9235c0fca527ac0b0,Cross-Task Contributions of Frontobasal Ganglia Circuitry in Response Inhibition and Conflict-Induced Slowing.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, dcc1512561b342c003b489f9235c0fca527ac0b0,Cross-Task Contributions of Frontobasal Ganglia Circuitry in Response Inhibition and Conflict-Induced Slowing.,Brown University,Brown University,"Brown University, Waterman Street, College Hill, Providence, Bristol, Rhode Island, 02912, USA",41.82686820,-71.40123146,edu, +dc77287bb1fcf64358767dc5b5a8a79ed9abaa53,Fashion Conversation Data on Instagram,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, dc77287bb1fcf64358767dc5b5a8a79ed9abaa53,Fashion Conversation Data on Instagram,"University of California, Los Angeles","University of California, Los Angeles","200 UCLA, Medical Plaza Driveway Suite 540, Los Angeles, CA 90095, USA",34.06877880,-118.44500940,edu, dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional neural networks,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 87b81c8821a2cb9cdf26c75c1531717cab4b942f,Face Detection with Facial Features and Gender Classification Based On Support Vector Machine,Manonmaniam Sundaranar University,Manonmaniam Sundaranar University,"Manonmaniam Sundaranar University, Tenkasi-Tirunelveli, Gandhi Nagar, Tirunelveli, Tirunelveli Kattabo, Tamil Nadu, 627808, India",8.76554685,77.65100445,edu, @@ -14540,11 +17892,17 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional 8732d702aeb08e9c604b36dcaa5933aea91a228d,Development of social skills in children: neural and behavioral evidence for the elaboration of cognitive models,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 8732d702aeb08e9c604b36dcaa5933aea91a228d,Development of social skills in children: neural and behavioral evidence for the elaboration of cognitive models,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, 87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,Harbin Institute of Technology,Harbin Institute of Technology,"哈尔滨工业大学, 司令街, 南岗区, 哈尔滨市 / Harbin, 黑龙江省, 150000, 中国",45.74139210,126.62552755,edu, +87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,China,China,China,35.86166000,104.19539700,edu, 87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,China,China,China,35.86166000,104.19539700,edu, 87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, +87a57610e42de5f94641ab09b53b3c26f36f9eda,Semi-Supervised Discriminant Analysis via Spectral Transduction,China,China,China,35.86166000,104.19539700,edu, 878ec66a3bb87f23f3f8fd96ee504f79e6100a95,THESIS EVALUATING THE PERFORMANCE OF IPHOTO FACIAL RECOGNITION AT THE BIOMETRIC VERIFICATION TASK,Colorado State University,Colorado State University,"Colorado State University, West Pitkin Street, Woodwest, Fort Collins, Larimer County, Colorado, 80526-2002, USA",40.57093580,-105.08655256,edu, 870433ba89d8cab1656e57ac78f1c26f4998edfb,Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network,Open University of Israel,Open University of Israel,"האוניברסיטה הפתוחה, 15, אבא חושי, חיפה, גבעת דאונס, חיפה, מחוז חיפה, NO, ישראל",32.77824165,34.99565673,edu, +871e6c1de2e0ba86bad8975b8411ad76a6a9aef9,Geometric Modeling of 3D-Face Features and Its Applications,India,India,India,20.59368400,78.96288000,edu, +871e6c1de2e0ba86bad8975b8411ad76a6a9aef9,Geometric Modeling of 3D-Face Features and Its Applications,India,India,India,20.59368400,78.96288000,edu, 871e6c1de2e0ba86bad8975b8411ad76a6a9aef9,Geometric Modeling of 3D-Face Features and Its Applications,Indian Institute of Technology Kanpur,Indian Institute of Technology Kanpur,"Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India",26.51318800,80.23651945,edu, +871e6c1de2e0ba86bad8975b8411ad76a6a9aef9,Geometric Modeling of 3D-Face Features and Its Applications,India,India,India,20.59368400,78.96288000,edu, 87ce85c4f10a2339902460d0906d2fa7894050bf,Speed Complexity Pedestrian Driving Highway Lane-Keeping Parking Traffic Jam Urban Driving Racing Circuit,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 87ce85c4f10a2339902460d0906d2fa7894050bf,Speed Complexity Pedestrian Driving Highway Lane-Keeping Parking Traffic Jam Urban Driving Racing Circuit,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, 87e4d8e0fc4019405001683678cd199fc9936369,Kernelized Multiview Projection,Northumbria University,Northumbria University,"Northumbria University, Birkdale Close, High Heaton, Newcastle upon Tyne, Tyne and Wear, North East England, England, NE7 7TP, UK",55.00306320,-1.57463231,edu, @@ -14559,7 +17917,10 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional 87cf55164a7cc676b68e84b7f39fcdbf7610ece4,Choosing Multi-illumination training Images based on the degree of linear independency,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 8758775ff9fa05b05f98a43cf5effe6b08cc1241,Deep Hashing via Discrepancy Minimization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 8758775ff9fa05b05f98a43cf5effe6b08cc1241,Deep Hashing via Discrepancy Minimization,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, +8758775ff9fa05b05f98a43cf5effe6b08cc1241,Deep Hashing via Discrepancy Minimization,China,China,China,35.86166000,104.19539700,edu, 8758775ff9fa05b05f98a43cf5effe6b08cc1241,Deep Hashing via Discrepancy Minimization,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, +87cab840df202609bfcfb5a9ee3293e61c7c85db,Vision based victim detection from unmanned aerial vehicles,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +87cab840df202609bfcfb5a9ee3293e61c7c85db,Vision based victim detection from unmanned aerial vehicles,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 87cd95dbe885762ec0f733bc9d232eb4d63cc995,Multilinear Hyperplane Hashing,Beihang University,Beihang University,"北京航空航天大学, 37, 学院路, 五道口, 后八家, 海淀区, 100083, 中国",39.98083330,116.34101249,edu, 87cd95dbe885762ec0f733bc9d232eb4d63cc995,Multilinear Hyperplane Hashing,Xidian University,Xidian University,"Xidian University (New Campus), 266号, 银杏大道, 南雷村, 长安区 (Chang'an), 西安市, 陕西省, 710126, 中国",34.12358250,108.83546000,edu, 87cd95dbe885762ec0f733bc9d232eb4d63cc995,Multilinear Hyperplane Hashing,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -14579,10 +17940,12 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional 871bb9f0e9bed6ea0c3b468a39999cedfbc7580c,Transformed Principal Gradient Orientation for Robust and Precise Batch Face Alignment,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, 87a66ccc68374ffb704ee6fb9fa7df369718095c,Multi-Person Pose Estimation with Local Joint-to-Person Associations,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 87d0c3359a9a99fddfbc5a388e211762a79ed5d7,Why did the person cross the road (there)? scene understanding using probabilistic logic models and common sense reasoning,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, +87bba3f4292727091027b7888b5d8f364425344d,End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners,"ETH Zurich, Zurich, Switzerland","ETH Zurich, Zurich, Switzerland","Technoparkstrasse 1, 8005 Zürich, Switzerland",47.39005860,8.51632480,edu, 87fa9d667f8f41eb04831356dc8d68b190693e5e,Chat-crowd: A Dialog-based Platform for Visual Layout Composition,University of Virginia,University of Virginia,"University of Virginia, Rotunda Alley, Carr's Hill, Albemarle County, Virginia, 22904-4119, USA",38.03536820,-78.50353220,edu, 87e4f376ed8515f04c75bc06f6b4cc7d2b1ecb69,Leveraging Transfer Learning for Segmenting Lesions and their Attributes in Dermoscopy Images,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, 87a4711136040f5d6929d7e31d8dae881afa5d3f,Hand-tremor frequency estimation in videos,Delft University of Technology,Delft University of Technology,"TU Delft, Mekelweg, TU-wijk, Delft, Zuid-Holland, Nederland, 2628, Nederland",51.99882735,4.37396037,edu, 0bfb78f254eaa6171b0e56dc8dfbda824ef22d20,Generative Dual Adversarial Network for Generalized Zero-shot Learning,University of Illinois at Chicago,University of Illinois at Chicago,"University of Illinois at Chicago, West Taylor Street, Greektown, Chicago, Cook County, Illinois, 60607, USA",41.86898915,-87.64856256,edu, +0bfb78f254eaa6171b0e56dc8dfbda824ef22d20,Generative Dual Adversarial Network for Generalized Zero-shot Learning,China,China,China,35.86166000,104.19539700,edu, 0bfb78f254eaa6171b0e56dc8dfbda824ef22d20,Generative Dual Adversarial Network for Generalized Zero-shot Learning,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 0b90cd2e8abd6b23e7f8133f02e3e6d121cf4903,Advanced Steel Microstructural Classification by Deep Learning Methods,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, 0b5e4ac8a04c0ffd0f9045901525201db03c789d,Annotated reconstruction of 3D spaces using drones,California Institute of Technology,California Institute of Technology,"California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA",34.13710185,-118.12527487,edu, @@ -14595,24 +17958,37 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional 0b0eb6363a0c5b80c544aff091d547122986131b,Remembering faces with emotional expressions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 0b0eb6363a0c5b80c544aff091d547122986131b,Remembering faces with emotional expressions,University of Florida,University of Florida,"University of Florida, Southwest 16th Avenue, Diamond Village Apartments, City of Gainesville Municipal Boundaries, Alachua County, Florida, 32611, USA",29.63287840,-82.34901330,edu, 0b0eb6363a0c5b80c544aff091d547122986131b,Remembering faces with emotional expressions,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +0b0eb6363a0c5b80c544aff091d547122986131b,Remembering faces with emotional expressions,China,China,China,35.86166000,104.19539700,edu, 0bd949f948f8f7afc0578d23d065b36c5c03c509,Regional Gating Neural Networks for Multi-label Image Classification,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, +0bd949f948f8f7afc0578d23d065b36c5c03c509,Regional Gating Neural Networks for Multi-label Image Classification,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, +0bd949f948f8f7afc0578d23d065b36c5c03c509,Regional Gating Neural Networks for Multi-label Image Classification,China,China,China,35.86166000,104.19539700,edu, 0bd949f948f8f7afc0578d23d065b36c5c03c509,Regional Gating Neural Networks for Multi-label Image Classification,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, +0bd949f948f8f7afc0578d23d065b36c5c03c509,Regional Gating Neural Networks for Multi-label Image Classification,"Shanghai, China","Shanghai, China","Shanghai, China",31.23039040,121.47370210,edu, 0bcc4ccbe7b12166bb6e8669ab6b5c7edfe6294e,Beyond Object Recognition: Visual Sentiment Analysis with Deep Coupled Adjective and Noun Neural Networks,South China University of Technology,South China University of Technology,"华南理工大学, 大学城中环东路, 广州大学城, 新造, 番禺区 (Panyu), 广州市, 广东省, 510006, 中国",23.05020420,113.39880323,edu, 0bcc4ccbe7b12166bb6e8669ab6b5c7edfe6294e,Beyond Object Recognition: Visual Sentiment Analysis with Deep Coupled Adjective and Noun Neural Networks,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, 0bdae87db9d402cebbdac21c6a8292945a2aeaf9,Integrated 3 D Expression Recognition and Face Recognition,Florida International University,Florida International University,"FIU, Southwest 14th Street, Sweetwater, University Park, Miami-Dade County, Florida, 33199, USA",25.75533775,-80.37628897,edu, 0b50e223ad4d9465bb92dbf17a7b79eccdb997fb,Implicit elastic matching with random projections for pose-variant face recognition,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, 0b50e223ad4d9465bb92dbf17a7b79eccdb997fb,Implicit elastic matching with random projections for pose-variant face recognition,"University of Illinois, Urbana-Champaign","University of Illinois, Urbana-Champaign","B-3, South Mathews Avenue, Urbana, Champaign County, Illinois, 61801, USA",40.11116745,-88.22587665,edu, 0b574f70d0965d66986bb9e89df693126652a4a6,Discriminative learning of multiset integrated canonical correlation analysis for feature fusion,Nanjing University,Nanjing University,"NJU, 三江路, 鼓楼区, 南京市, 江苏省, 210093, 中国",32.05659570,118.77408833,edu, +0b574f70d0965d66986bb9e89df693126652a4a6,Discriminative learning of multiset integrated canonical correlation analysis for feature fusion,China,China,China,35.86166000,104.19539700,edu, +0b2277a0609565c30a8ee3e7e193ce7f79ab48b0,Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0b2277a0609565c30a8ee3e7e193ce7f79ab48b0,Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0bb078880758c023007950f1d7eea99e666e4f06,Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, +0bb078880758c023007950f1d7eea99e666e4f06,Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data,India,India,India,20.59368400,78.96288000,edu, 0bb078880758c023007950f1d7eea99e666e4f06,Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 0bb078880758c023007950f1d7eea99e666e4f06,Discovering Connotations as Labels for Weakly Supervised Image-Sentence Data,Karlsruhe Institute of Technology,Karlsruhe Institute of Technology,"KIT, Leopoldshafener Allee, Linkenheim, Linkenheim-Hochstetten, Landkreis Karlsruhe, Regierungsbezirk Karlsruhe, Baden-Württemberg, 76351, Deutschland",49.10184375,8.43312560,edu, 0b835284b8f1f45f87b0ce004a4ad2aca1d9e153,Cartooning for Enhanced Privacy in Lifelogging and Streaming Videos,Indiana University Bloomington,Indiana University Bloomington,"Indiana University Bloomington, East 17th Street, Bloomington, Monroe County, Indiana, 47408, USA",39.17720475,-86.51540030,edu, 0badf61e8d3b26a0d8b60fe94ba5c606718daf0b,Facial Expression Recognition Using Deep Belief Network,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, +0badf61e8d3b26a0d8b60fe94ba5c606718daf0b,Facial Expression Recognition Using Deep Belief Network,China,China,China,35.86166000,104.19539700,edu, 0badf61e8d3b26a0d8b60fe94ba5c606718daf0b,Facial Expression Recognition Using Deep Belief Network,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, +0badf61e8d3b26a0d8b60fe94ba5c606718daf0b,Facial Expression Recognition Using Deep Belief Network,China,China,China,35.86166000,104.19539700,edu, 0b6f64c78c44dc043e2972fa7bfe2a5753768609,A future for learning semantic models of man-made environments,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, 0b242d5123f79defd5f775d49d8a7047ad3153bc,How Important is Weight Symmetry in Backpropagation?,McGovern Institute for Brain Research,McGovern Institute for Brain Research,"McGovern Institute for Brain Research (MIT), Main Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.36262950,-71.09144810,edu, +0b2d49cb2d2de06b022e2c636e337d294171dc22,New features and insights for pedestrian detection,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 0b84f07af44f964817675ad961def8a51406dd2e,Person Re-identification in the Wild,University of Technology Sydney,University of Technology Sydney,"University of Technology Sydney, Omnibus Lane, Ultimo, Sydney, NSW, 2007, Australia",-33.88096510,151.20107299,edu, +0b20f75dbb0823766d8c7b04030670ef7147ccdd,Feature selection using nearest attributes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0b79f0999eab1e2ac586a97dfc9a71809e7ab262,Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, +0b6c10ea6bf8a6c254e00fcc2163c4b6fc0f1c3a,"Anti-Spoofing for Text-Independent Speaker Verification: An Initial Database, Comparison of Countermeasures, and Human Performance",a,a,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 0b2966101fa617b90510e145ed52226e79351072,Beyond verbs: Understanding actions in videos with text,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, 0b2966101fa617b90510e145ed52226e79351072,Beyond verbs: Understanding actions in videos with text,University of Manitoba,University of Manitoba,"University of Manitoba, Gillson Street, Normand Park, Saint Vital, Winnipeg, Manitoba, R3T 2N2, Canada",49.80915360,-97.13304179,edu, 0bf3513d18ec37efb1d2c7934a837dabafe9d091,Robust Subspace Clustering via Thresholding Ridge Regression,"Sichuan University, Chengdu","Sichuan Univ., Chengdu","四川大学(华西校区), 校东路, 武侯区, 武侯区 (Wuhou), 成都市 / Chengdu, 四川省, 610014, 中国",30.64276900,104.06751175,edu, @@ -14627,6 +18003,7 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional 0ba1d855cd38b6a2c52860ae4d1a85198b304be4,Variable-state latent conditional random fields for facial expression recognition and action unit detection,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, 0ba1d855cd38b6a2c52860ae4d1a85198b304be4,Variable-state latent conditional random fields for facial expression recognition and action unit detection,Rutgers University,Rutgers University,"Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA",40.47913175,-74.43168868,edu, 0b55b31765f101535eac0d50b9da377f82136d2f,Biometric binary string generation with detection rate optimized bit allocation,University of Twente,University of Twente,"University of Twente, De Achterhorst;Hallenweg, Enschede, Regio Twente, Overijssel, Nederland, 7522NH, Nederland",52.23801390,6.85667610,edu, +0bf2765d431c16de7b8f9c644684e69fa52598eb,Integrating Remote PPG in Facial Expression Analysis Framework,"Vicarious Perception Technologies, Amsterdam, The Netherlands","Vicarious Perception Technologies, Amsterdam, The Netherlands","Singel 160, 1015 AH Amsterdam, Netherlands",52.37509500,4.88952400,edu, 0b4901e6724e533f6d5d2510e1c0199eea898c81,High Quality Bidirectional Generative Adversarial Networks,Yonsei University,Yonsei University,"연세대, 연세로, 신촌동, 창천동, 서대문구, 서울특별시, 03789, 대한민국",37.56004060,126.93692480,edu, 0baee7f68c08f1a6b5190755adebc57145d18ccf,Unsupervised Discovery of Mid-Level Discriminative Patches,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, 0b9c5bfb4d8349bb3f6ddd6fb612b7f9657c93f8,Inverting and Visualizing Features for Object Detection,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -14634,8 +18011,11 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional 0bc3e6618786c5133b7f8b0033f8917e61b42a91,Enhancing Gloss-Based Corpora with Facial Features Using Active Appearance Models,RWTH Aachen University,RWTH Aachen University,"RWTH Aachen, Mies-van-der-Rohe-Straße, Königshügel, Aachen-Mitte, Aachen, Städteregion Aachen, Regierungsbezirk Köln, Nordrhein-Westfalen, 52074, Deutschland",50.77917030,6.06728733,edu, 0bdc753237de316929e69c83a7df208a80d4e3cd,Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 0bdc753237de316929e69c83a7df208a80d4e3cd,Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +0bdc753237de316929e69c83a7df208a80d4e3cd,Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships,China,China,China,35.86166000,104.19539700,edu, +0b6314e9e741d19346d936eaaa7d6fcf46dd3ed7,Deep Learning in the Wild,6,6,"Independence, KS 67301, USA",37.09024000,-95.71289100,edu, 0b6314e9e741d19346d936eaaa7d6fcf46dd3ed7,Deep Learning in the Wild,Ulm University,Ulm University,"HNU, John-F.-Kennedy-Straße, Vorfeld, Wiley, Neu-Ulm, Landkreis Neu-Ulm, Schwaben, Bayern, 89231, Deutschland",48.38044335,10.01010115,edu, 0be80da851a17dd33f1e6ffdd7d90a1dc7475b96,Weighted Feature Gaussian Kernel SVM for Emotion Recognition,Beijing University of Posts and Telecommunications,Beijing University of Posts and Telecommunications,"北京邮电大学, 西土城路, 海淀区, 北京市, 100082, 中国",39.96014880,116.35193921,edu, +0b87d91fbda61cdea79a4b4dcdcb6d579f063884,Research on Theory and Method for Facial Expression Recognition System Based on Dynamic Image Sequence,China,China,China,35.86166000,104.19539700,edu, 0bbb40e5b9e546a3f4e7340b2980059065c99203,Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, 0bbb40e5b9e546a3f4e7340b2980059065c99203,Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids,Fudan University,Fudan University,"复旦大学, 220, 邯郸路, 五角场街道, 杨浦区, 上海市, 200433, 中国",31.30104395,121.50045497,edu, 0b183f5260667c16ef6f640e5da50272c36d599b,Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, @@ -14644,24 +18024,36 @@ dca12da787c023c97058cdb7d56e18ef287084f7,Zebrafish tracking using convolutional 0bcde128b115af74d0986306184502ae7c8822f6,Learning Scalable Discriminative Dictionary with Sample Relatedness,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 0bd192078234ebc1266c3f3e80560e843ba2f3ab,"DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images",Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 0b51197109813d921835cb9c4153b9d1e12a9b34,THE UNIVERSITY OF CHICAGO JOINTLY LEARNING MULTIPLE SIMILARITY METRICS FROM TRIPLET CONSTRAINTS A DISSERTATION SUBMITTED TO THE FACULTY OF THE DIVISION OF THE PHYSICAL SCIENCES IN CANDIDACY FOR THE DEGREE OF MASTER OF SCIENCE DEPARTMENT OF COMPUTER SCIENCE BY,University of Chicago,THE UNIVERSITY OF CHICAGO,"University of Chicago, South Ellis Avenue, Woodlawn, Chicago, Cook County, Illinois, 60637, USA",41.78468745,-87.60074933,edu, -0b3f354e6796ef7416bf6dde9e0779b2fcfabed2,Color Face Recognition using Quaternionic Gabor Filters,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, -0b3f354e6796ef7416bf6dde9e0779b2fcfabed2,Color Face Recognition using Quaternionic Gabor Filters,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +0b3f354e6796ef7416bf6dde9e0779b2fcfabed2,Color Face Recognition using Quaternionic Gabor Filters,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +0b3f354e6796ef7416bf6dde9e0779b2fcfabed2,Color Face Recognition using Quaternionic Gabor Filters,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, 0bc53b338c52fc635687b7a6c1e7c2b7191f42e5,Loglet SIFT for Part Description in Deformable Part Models: Application to Face Alignment,University of Warwick,University of Warwick,"University of Warwick, University Road, Kirby Corner, Cannon Park, Coventry, West Midlands Combined Authority, West Midlands, England, CV4 7AL, UK",52.37931310,-1.56042520,edu, 0b6616f3ebff461e4b6c68205fcef1dae43e2a1a,Rectifying Self Organizing Maps for Automatic Concept Learning from Web Images,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, 0b6616f3ebff461e4b6c68205fcef1dae43e2a1a,Rectifying Self Organizing Maps for Automatic Concept Learning from Web Images,Bilkent University,Bilkent University,"Bilkent Üniversitesi, 3. Cadde, Üniversiteler Mahallesi, Ankara, Çankaya, Ankara, İç Anadolu Bölgesi, 06800, Türkiye",39.87204890,32.75395155,edu, 0bc695e580d41ad163d5ec601bdcf384a0bf91cd,A Linear Approach of 3 D Face Shape and Texture Recovery using a 3 D Morphable Model,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, +0b3a5267c6543a8b4ff3473199bbc648596f6776,Supplementary Material for Superpixel Convolutional Networks using Bilateral Inceptions,Max Planck Institute for Intelligent Systems,Max Planck Institute for Intelligent Systems,"Heisenbergstraße 3, 70569 Stuttgart, Germany",48.74689390,9.08051410,edu, 0b48e1bd69c5b87f197397f933ce7f5261fa00bb,A Joint Model of Language and Perception for Grounded Attribute Learning,University of Washington,University of Washington,"University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA",47.65432380,-122.30800894,edu, 0ba402af3b8682e2aa89f76bd823ddffdf89fa0a,Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 0ba402af3b8682e2aa89f76bd823ddffdf89fa0a,Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks,Harvard University,Harvard University,"Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA",42.36782045,-71.12666653,edu, 0ba402af3b8682e2aa89f76bd823ddffdf89fa0a,Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks,Stony Brook University,Stony Brook University,"Stony Brook University, 100, Nicolls Road, Stony Brook, Suffolk County, New York, 11794, USA",40.91531960,-73.12706260,edu, 0be8b12f194fb604be69c139a195799e8ab53fd3,Talking Heads: Detecting Humans and Recognizing Their Interactions,University of Oxford,University of Oxford,"Radcliffe Camera, Radcliffe Square, Grandpont, Oxford, Oxon, South East, England, OX1 4AJ, UK",51.75345380,-1.25400997,edu, +0bfabcf5c74cc17fe8b5777093699789411868b9,Predictive Tagging of Social Media Images using Unsupervised Learning,India,India,India,20.59368400,78.96288000,edu, +0bfabcf5c74cc17fe8b5777093699789411868b9,Predictive Tagging of Social Media Images using Unsupervised Learning,India,India,India,20.59368400,78.96288000,edu, 0b8b8776684009e537b9e2c0d87dbd56708ddcb4,Adversarial Discriminative Heterogeneous Face Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, 0b204afe26f1a73e9183c575e99fe37fef8c1500,Person re-Identification over distributed spaces and time,Queen Mary University of London,Queen Mary University of London,"Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK",51.52472720,-0.03931035,edu, +0b572a2b7052b15c8599dbb17d59ff4f02838ff7,Automatic Subspace Learning via Principal Coefficients Embedding,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0b43a712f055f788fd0502cac4455e254b1adbeb,Multi-modal Face Pose Estimation with Multi-task Manifold Deep Learning,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +0b278c9dc9b16b46ed602eab884ad7a37a988031,Robust Face-Name Graph Matching for Movie Character Identification,India,India,India,20.59368400,78.96288000,edu, +0b278c9dc9b16b46ed602eab884ad7a37a988031,Robust Face-Name Graph Matching for Movie Character Identification,India,India,India,20.59368400,78.96288000,edu, 0bf0029c9bdb0ac61fda35c075deb1086c116956,Modelling of Orthogonal Craniofacial Profiles,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 0bdbf63900bf75077b00984d757ca3f10eb372c4,Kernel Fisher NPE for Face Recognition,Dalian University of Technology,Dalian University of Technology,"大连理工大学, 红凌路, 甘井子区, 凌水镇, 甘井子区 / Ganjingzi, 大连市 / Dalian, 辽宁省, 116023, 中国",38.88140235,121.52281098,edu, +0bdbf63900bf75077b00984d757ca3f10eb372c4,Kernel Fisher NPE for Face Recognition,China,China,China,35.86166000,104.19539700,edu, +0b0b0d9b15613a6e3c4f9a4dd1c17c0313ca4303,Evaluation of 3D Face Recognition in the presence of facial expressions: an Annotated Deformable Model approach,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 0bc8849275aec0559b45afd2490f8e42f1502742,Learning for Multi-Model and Multi-Type Fitting,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, 0bc8849275aec0559b45afd2490f8e42f1502742,Learning for Multi-Model and Multi-Type Fitting,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +0bddd3a4f45ef68faeb96cee89ff763e8e497af1,Regularization Method for Solving Denoising and Inpainting Task Using Stacked Sparse Denoising Autoencoders,Russia,Russia,Russia,61.52401000,105.31875600,edu, +0bddd3a4f45ef68faeb96cee89ff763e8e497af1,Regularization Method for Solving Denoising and Inpainting Task Using Stacked Sparse Denoising Autoencoders,Russia,Russia,Russia,61.52401000,105.31875600,edu, 0be2245b2b016de1dcce75ffb3371a5e4b1e731b,On the variants of the self-organizing map that are based on order statistics,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, +0b6a5200c33434cbfa9bf24ba482f6e06bf5fff7,"The use of deep learning in image segmentation, classification and detection",Romania,Romania,Romania,45.94316100,24.96676000,edu, b4ee6b62f6a89feede06da5fb7e5ad6ec0265175,Recurrent 3D Pose Sequence Machines,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, b42a8325d5cabefd11cee59f4b2b5901eb7f18c6,Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification,University of Houston,University of Houston,"UH, 4800, Calhoun Road, Houston, Harris County, Texas, 77004, USA",29.72079020,-95.34406271,edu, b42a8325d5cabefd11cee59f4b2b5901eb7f18c6,Curriculum Learning of Visual Attribute Clusters for Multi-Task Classification,University of Ioannina,University of Ioannina,"Πανεπιστήμιο Ιωαννίνων, Πανεπιστημίου, Κάτω Νεοχωρόπουλο, Νεοχωρόπουλο, Δήμος Ιωαννιτών, Π.Ε. Ιωαννίνων, Περιφέρεια Ηπείρου, Ήπειρος - Δυτική Μακεδονία, 45110, Ελλάδα",39.61623060,20.83963011,edu, @@ -14678,22 +18070,27 @@ b4338267e825a4cd057365abf49217e1c76bb5f9,Understanding Unequal Gender Classifica b4338267e825a4cd057365abf49217e1c76bb5f9,Understanding Unequal Gender Classification Accuracy from Face Images,"University of California, Berkeley","University of California, Berkeley","Berkeley Art Museum and Pacific Film Archive, Bancroft Way, Southside, Berkeley, Alameda County, California, 94720-1076, USA",37.86871260,-122.25586815,edu, b4646d7d46a4532281f404d6bd05cd280b4a90c0,Learning effective image metrics from few pairwise examples,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, b4646d7d46a4532281f404d6bd05cd280b4a90c0,Learning effective image metrics from few pairwise examples,National Taiwan University,National Taiwan University,"臺大;台大, 1, 羅斯福路四段, 學府里, 大安區, 臺北市, 10617, 臺灣",25.01682835,121.53846924,edu, -b4720674dcd92d28978e24727d5b40edb363dfe9,Input Fast-Forwarding for Better Deep Learning,Virginia Polytechnic Institute and State University,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, +b4720674dcd92d28978e24727d5b40edb363dfe9,Input Fast-Forwarding for Better Deep Learning,Virginia Tech,Virginia Polytechnic Institute and State University,"Virginia Polytechnic Institute and State University, Duck Pond Drive, Blacksburg, Montgomery County, Virginia, 24061-9517, USA",37.21872455,-80.42542519,edu, b4720674dcd92d28978e24727d5b40edb363dfe9,Input Fast-Forwarding for Better Deep Learning,Alexandria University,Alexandria University,"جامعة الإسكندرية, الكورنيش, إبراهيمية, الإسكندرية, 21522, مصر",31.21051105,29.91314562,edu, b4720674dcd92d28978e24727d5b40edb363dfe9,Input Fast-Forwarding for Better Deep Learning,Benha University,Benha University,"كلية الهندسة بشبرا جامعة بنها, شارع اليازجي, روض الفرج, القاهرة, محافظة القاهرة, 2466, مصر",30.08187270,31.24454841,edu, b438dc16bf97c1324ac66771efa67bdb9b853346,Evaluating asymmetric multiprocessing for mobile applications,Duke University,Duke University,"Nasher Museum of Art, 2001, Campus Drive, Burch Avenue, Durham, Durham County, North Carolina, 27705, USA",35.99905220,-78.92906290,edu, b41c90bce7fecdcf5980a9990f8693ff07997b65,Categorizing Concepts with Basic Level for Vision-to-Language,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, b41c90bce7fecdcf5980a9990f8693ff07997b65,Categorizing Concepts with Basic Level for Vision-to-Language,Tongji University,Tongji University,"同济大学, 1239, 四平路, 江湾, 虹口区, 上海市, 200092, 中国",31.28473925,121.49694909,edu, +b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807,A short review and primer on electromyography in human computer interaction applications,Finland,Finland,Finland,61.92411000,25.74815110,edu, b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807,A short review and primer on electromyography in human computer interaction applications,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807,A short review and primer on electromyography in human computer interaction applications,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807,A short review and primer on electromyography in human computer interaction applications,Finland,Finland,Finland,61.92411000,25.74815110,edu, +b4ee1b468bf7397caa7396cfee2ab5f5ed6f2807,A short review and primer on electromyography in human computer interaction applications,Finland,Finland,Finland,61.92411000,25.74815110,edu, b4ad2bdbf82c8bd1454f6d743b956bcfbad54101,Learning from Experience in Manipulation Planning: Setting the Right Goals,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, b4ad2bdbf82c8bd1454f6d743b956bcfbad54101,Learning from Experience in Manipulation Planning: Setting the Right Goals,Robotics Institute,Robotics Institute,"Institute for Field Robotics, ประชาอุทิศ, กรุงเทพมหานคร, เขตราษฎร์บูรณะ, กรุงเทพมหานคร, 10140, ประเทศไทย",13.65450525,100.49423171,edu, b4ad2bdbf82c8bd1454f6d743b956bcfbad54101,Learning from Experience in Manipulation Planning: Setting the Right Goals,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, b4ad2bdbf82c8bd1454f6d743b956bcfbad54101,Learning from Experience in Manipulation Planning: Setting the Right Goals,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, b4ad2bdbf82c8bd1454f6d743b956bcfbad54101,Learning from Experience in Manipulation Planning: Setting the Right Goals,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, b47add32c0b26e72f5670644618076dfd8bc1404,Attribute-Guided Face Generation Using Conditional CycleGAN,Hong Kong University of Science and Technology,Hong Kong University of Science and Technology,"香港科技大學 Hong Kong University of Science and Technology, 大學道 University Road, 大埔仔 Tai Po Tsai, 大埔仔村 Tai Po Tsai Village, 新界 New Territories, HK, DD253 1209, 中国",22.33863040,114.26203370,edu, +b419e0e1192d307d536421d811d10657f65eb72b,Face Recognition using DCT based Energy Discriminant Mask,India,India,India,20.59368400,78.96288000,edu, b43b6551ecc556557b63edb8b0dc39901ed0343b,ICA and Gabor representation for facial expression recognition,Aristotle University of Thessaloniki,Aristotle University of Thessaloniki,"Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης, Εγνατία, Σαράντα Εκκλησίες, Ευαγγελίστρια, Θεσσαλονίκη, Δήμος Θεσσαλονίκης, Περιφερειακή Ενότητα Θεσσαλονίκης, Περιφέρεια Κεντρικής Μακεδονίας, Μακεδονία - Θράκη, 54124, Ελλάδα",40.62984145,22.95889350,edu, b446bcd7fb78adfe346cf7a01a38e4f43760f363,To appear in ICB 2018 Longitudinal Study of Child Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, +b446bcd7fb78adfe346cf7a01a38e4f43760f363,To appear in ICB 2018 Longitudinal Study of Child Face Recognition,India,India,India,20.59368400,78.96288000,edu, b446bcd7fb78adfe346cf7a01a38e4f43760f363,To appear in ICB 2018 Longitudinal Study of Child Face Recognition,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, b46e7d361a030f96d54a9717127f17d0cc833e32,Contextualized Bilinear Attention Networks,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, b4fe4bdd0e42aadf3f7046e9c681d3585ba8a205,Improving dual-tree algorithms,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, @@ -14701,6 +18098,8 @@ b4fe4bdd0e42aadf3f7046e9c681d3585ba8a205,Improving dual-tree algorithms,Georgia b47dae9d6499c6a777847a26297a647f0de49214,Aberrant Social Attention and Its Underlying Neural Correlates in Adults with Autism Spectrum Disorder,Indiana University,Indiana University,"Indiana University East, West Cart Road, Richmond, Wayne County, Indiana, 47374, USA",39.86948105,-84.87956905,edu, b4d694961d3cde43ccef7d8fcf1061fe0d8f97f3,Rapid face recognition using hashing,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, b4d694961d3cde43ccef7d8fcf1061fe0d8f97f3,Rapid face recognition using hashing,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, +b4d694961d3cde43ccef7d8fcf1061fe0d8f97f3,Rapid face recognition using hashing,NICTA,NICTA,"1111 E Touhy Ave #400, Des Plaines, IL 60018, USA",42.00877410,-87.89585490,edu, +b45a9f95980c434582c920bf15a8099ec267c1f7,Robust Kronecker Component Analysis,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b4288f34528fbda2d2781454aadccae0d578d59a,Bayesian 3D Tracking from Monocular Video,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu, b4288f34528fbda2d2781454aadccae0d578d59a,Bayesian 3D Tracking from Monocular Video,University of Arizona,University of Arizona,"University of Arizona, North Highland Avenue, Rincon Heights, Barrio Viejo, Tucson, Pima County, Arizona, 85721, USA",32.23517260,-110.95095832,edu, b4288f34528fbda2d2781454aadccae0d578d59a,Bayesian 3D Tracking from Monocular Video,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, @@ -14711,10 +18110,15 @@ b4362cd87ad219790800127ddd366cc465606a78,A Smartphone-Based Automatic Diagnosis b4843913e5ba0f1bfc12f179587d3789676c3310,4 DFAB : A Large Scale 4 DDatabase for Facial Expression Analysis and Biometric Applications,Imperial College London,Imperial College London,"Imperial College London, Exhibition Road, Brompton, Royal Borough of Kensington and Chelsea, London, Greater London, England, SW7 2AZ, UK",51.49887085,-0.17560797,edu, b4843913e5ba0f1bfc12f179587d3789676c3310,4 DFAB : A Large Scale 4 DDatabase for Facial Expression Analysis and Biometric Applications,Middlesex University,Middlesex University,"Middlesex University, Greyhound Hill, Hendon, The Hyde, London Borough of Barnet, London, Greater London, England, NW4 4JP, UK",51.59029705,-0.22963221,edu, b4e889af57295dff9498ba476893a359a91b8a3e,Improving Speaker Turn Embedding by Crossmodal Transfer Learning from Face Embedding,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, +b4f3e9fc0a2b40595ae0a625d1d768a57a7c2eba,Recognizing Disguised Faces in the Wild,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b4a60cfe62d78e315ed4206d455022ead27ecbf0,Deep hashing with triplet quantization loss,Shanghai Jiao Tong University,Shanghai Jiao Tong University,"上海交通大学(徐汇校区), 淮海西路, 番禺小区, 平阴桥, 徐汇区, 上海市, 200052, 中国",31.20081505,121.42840681,edu, b411448a978e48352e1959addb9ca8dc762262a3,Probabilistic Subspace Clustering Via Sparse Representations,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, b411448a978e48352e1959addb9ca8dc762262a3,Probabilistic Subspace Clustering Via Sparse Representations,Technion,Technion,"Haifa, 3200003, Israel",32.77677830,35.02312710,edu, b4f5cf797a1c857f32e5740d53d9990bc925af2b,Review of Segmentation with Deep Learning and Discover Its Application in Ultrasound Images,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, +b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4,Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video,China,China,China,35.86166000,104.19539700,edu, +b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4,Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video,China,China,China,35.86166000,104.19539700,edu, +b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4,Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video,China,China,China,35.86166000,104.19539700,edu, +b4b0bf0cbe1a2c114adde9fac64900b2f8f6fee4,Autonomous Learning Framework Based on Online Hybrid Classifier for Multi-view Object Detection in Video,China,China,China,35.86166000,104.19539700,edu, b499de04abb323a0bc6b09922bd16690bd7f67b5,Fast learning for customizable head pose recognition in robotic wheelchair control,York University,York University,"York University, Keele Campus, Campus Walk, North York, Toronto, Ontario, M3J 2S5, Canada",43.77439110,-79.50481085,edu, b42a97fb47bcd6bfa72e130c08960a77ee96f9ab,Based on Graph-preserving Sparse Non-negative Matrix Factorization,Institute of Information Science,Institute of Information Science,"資訊科學研究所, 數理大道, 中研里, 南港子, 南港區, 臺北市, 11574, 臺灣",25.04107280,121.61475620,edu, b42a97fb47bcd6bfa72e130c08960a77ee96f9ab,Based on Graph-preserving Sparse Non-negative Matrix Factorization,Beijing Jiaotong University,Beijing Jiaotong University,"北京交通大学, 银杏大道, 稻香园南社区, 海淀区, 北京市, 100044, 中国",39.94976005,116.33629046,edu, @@ -14731,15 +18135,21 @@ a0848d7b1bb43f4b4f1b4016e58c830f40944817,Face Matching for Post-Disaster Family a0d6390dd28d802152f207940c7716fe5fae8760,Bayesian face revisited: a joint formulation,University of Science and Technology of China,University of Science and Technology of China,"中国科学技术大学 东校区, 96号, 金寨路, 江淮化肥厂小区, 芜湖路街道, 合肥市区, 合肥市, 安徽省, 230026, 中国",31.83907195,117.26420748,edu, a0d6390dd28d802152f207940c7716fe5fae8760,Bayesian face revisited: a joint formulation,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, a0d6390dd28d802152f207940c7716fe5fae8760,Bayesian face revisited: a joint formulation,Microsoft Research Asia,"Microsoft Live Labs Research, China","China, Beijing Shi, Haidian Qu, Zhichun Rd, 49号希格玛709号 邮政编码: 100080",39.97721700,116.33763200,company, +a0fd85b3400c7b3e11122f44dc5870ae2de9009a,Learning Deep Representation for Face Alignment with Auxiliary Attributes,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a082b1ee9a5bafe678539e694197c0910d4a09b2,Point-pair descriptors for 3D facial landmark localisation,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, a05e84f77e1dacaa1c59ba0d92919bdcfe4debbb,Video Question Answering via Hierarchical Spatio-Temporal Attention Networks,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, a05e84f77e1dacaa1c59ba0d92919bdcfe4debbb,Video Question Answering via Hierarchical Spatio-Temporal Attention Networks,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, a0e7f8771c7d83e502d52c276748a33bae3d5f81,Ensemble Nystr̈om,Courant Institute of Mathematical Sciences,Courant Institute of Mathematical Sciences,"Courant Institute of Mathematical Sciences, 251, Mercer Street, Washington Square Village, Greenwich Village, Manhattan, Manhattan Community Board 2, New York County, NYC, New York, 10012, USA",40.72864840,-73.99568630,edu, +a06f0b2d569cbef0822ae5e8625b4cb2a7f1d78c,Effective scaling registration approach by imposing the emphasis on the scale factor,China,China,China,35.86166000,104.19539700,edu, a06f0b2d569cbef0822ae5e8625b4cb2a7f1d78c,Effective scaling registration approach by imposing the emphasis on the scale factor,Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, a0c81783ec60bd64aefc49285eb082a8185d49c1,TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering,Seoul National University,Seoul National University,"서울대학교, 서호동로, 서둔동, 권선구, 수원시, 경기, 16614, 대한민국",37.26728000,126.98411510,edu, a01d22166ed62f5ad485ae32827c70d583a88564,Zero-Shot Learning by Convex Combination of Semantic Embeddings,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, a01d22166ed62f5ad485ae32827c70d583a88564,Zero-Shot Learning by Convex Combination of Semantic Embeddings,Google,"Google, Inc.","1600 Amphitheatre Pkwy, Mountain View, CA 94043, USA",37.42199990,-122.08405750,company,"Google, Mountain View, CA" +a012b41fc54060e11744db20ef6d191b290f1879,Unconstrained Face Recognition From Blurred and Illumination with Pose Variant Face Image Using SVM,India,India,India,20.59368400,78.96288000,edu, +a05a770bb2b7778e195a578006482926dfc1af82,Learning to Recognize Pedestrian Attribute,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +a0021e3bbf942a88e13b67d83db7cf52e013abfd,Human concerned object detecting in video,China,China,China,35.86166000,104.19539700,edu, a0021e3bbf942a88e13b67d83db7cf52e013abfd,Human concerned object detecting in video,Shandong University,Shandong University,"山东大学, 泰安街, 鳌山卫街道, 即墨区, 青岛市, 山东省, 266200, 中国",36.36934730,120.67381800,edu, +a0021e3bbf942a88e13b67d83db7cf52e013abfd,Human concerned object detecting in video,China,China,China,35.86166000,104.19539700,edu, a00a757b26d5c4f53b628a9c565990cdd0e51876,The BURCHAK corpus: a Challenge Data Set for Interactive Learning of Visually Grounded Word Meanings,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, a00a757b26d5c4f53b628a9c565990cdd0e51876,The BURCHAK corpus: a Challenge Data Set for Interactive Learning of Visually Grounded Word Meanings,Heriot-Watt University,Heriot-Watt University,"Heriot-Watt University - Edinburgh Campus, Third Gait, Currie, Gogarbank, City of Edinburgh, Scotland, EH14 4AS, UK",55.91029135,-3.32345777,edu, a00a757b26d5c4f53b628a9c565990cdd0e51876,The BURCHAK corpus: a Challenge Data Set for Interactive Learning of Visually Grounded Word Meanings,University of Groningen,University of Groningen,"Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland",53.21967825,6.56251482,edu, @@ -14749,14 +18159,20 @@ a0d1e2934e6fbf42175fe6f04c281a976dc33975,"Social Attention, Affective Arousal an a0dc68c546e0fc72eb0d9ca822cf0c9ccb4b4c4f,Fusing with context: A Bayesian approach to combining descriptive attributes,Columbia University,Columbia University,"Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA",40.84198360,-73.94368971,edu, a0dc68c546e0fc72eb0d9ca822cf0c9ccb4b4c4f,Fusing with context: A Bayesian approach to combining descriptive attributes,University of North Carolina Wilmington,University of North Carolina Wilmington,"Kenan House, 1705, Market Street, Wilmington, New Hanover County, North Carolina, 28403, USA",34.23755810,-77.92701290,edu, a0da08f42b1ce4205456663c4b5fa1d9f1b2b873,Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources,Max Planck Institute for Informatics,Max Planck Institute for Informatics,"MPII, E1 4, Campus, Universität, Sankt Johann, Bezirk Mitte, Saarbrücken, Regionalverband Saarbrücken, Saarland, 66123, Deutschland",49.25795660,7.04577417,edu, +a0ae4ffe252f32514240cf6d82d52538de5fb78c,AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES,Russia,Russia,Russia,61.52401000,105.31875600,edu, a04273851ae262e884b175c22decd56cbd24e14e,Correcting the Triplet Selection Bias for Triplet Loss,University of Sydney,University of Sydney,"USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia",-33.88890695,151.18943366,edu, a04273851ae262e884b175c22decd56cbd24e14e,Correcting the Triplet Selection Bias for Triplet Loss,University of Pittsburgh,University of Pittsburgh,"University of Pittsburgh, Sutherland Drive, West Oakland, PGH, Allegheny County, Pennsylvania, 15240, USA",40.44415295,-79.96243993,edu, a04273851ae262e884b175c22decd56cbd24e14e,Correcting the Triplet Selection Bias for Triplet Loss,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a065080353d18809b2597246bb0b48316234c29a,FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection,Chongqing University,Chongqing University,"重庆工商大学, 19, 翠林路, 重庆市, 重庆市中心, 南岸区 (Nan'an), 重庆市, 400067, 中国",29.50841740,106.57858552,edu, +a065080353d18809b2597246bb0b48316234c29a,FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection,China,China,China,35.86166000,104.19539700,edu, +a065080353d18809b2597246bb0b48316234c29a,FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection,China,China,China,35.86166000,104.19539700,edu, a0b1990dd2b4cd87e4fd60912cc1552c34792770,Deep Constrained Local Models for Facial Landmark Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a0b1990dd2b4cd87e4fd60912cc1552c34792770,Deep Constrained Local Models for Facial Landmark Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, a0b1990dd2b4cd87e4fd60912cc1552c34792770,Deep Constrained Local Models for Facial Landmark Detection,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +a0703bef11c978cc8faf05eb229e29a889f8a0b1,Superpixel Hierarchy,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +a0703bef11c978cc8faf05eb229e29a889f8a0b1,Superpixel Hierarchy,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, a0dc8911c47c3d0e1643ecfaa7032cee6fb5eb64,Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, +a0dc8911c47c3d0e1643ecfaa7032cee6fb5eb64,Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, a02f070080d4bd0fcef8b3234ca6b8ee7c97fb50,A principled approach to remove false alarms by modelling the context of a face detector,IDIAP Research Institute,IDIAP Research Institute,"Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra",46.10923700,7.08453549,edu, a0ddf6e9697631f771d73b721a3d871db6a04f6c,Multi-view Facial Expressions Recognition using Local Linear Regression of Sparse Codes,Graz University of Technology,Graz University of Technology,"TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, Österreich",47.05821000,15.46019568,edu, a0061dae94d916f60a5a5373088f665a1b54f673,Lensless computational imaging through deep learning,MIT,Massachusetts Institute,"MIT, Amherst Street, Cambridgeport, Cambridge, Middlesex County, Massachusetts, 02238, USA",42.35839610,-71.09567788,edu, @@ -14781,14 +18197,19 @@ a0e9064d59cb3b23b425bb954dd8c77fdc8637c8,The Neural Painter: Multi-Turn Image Ge 435642641312364e45f4989fac0901b205c49d53,Face Model Compression by Distilling Knowledge from Neurons,Shenzhen Institutes of Advanced Technology,Shenzhen Institutes of Advanced Technology,"中国科学院深圳先进技术研究院, 1068, 科研路, 深圳大学城, 三坑村, 南山区, 深圳市, 广东省, 518000, 中国",22.59805605,113.98533784,edu, 436680ad03e2bb6d1b4e83522cd83e054092acb1,Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve,University of Adelaide,University of Adelaide,"University of Adelaide, North Terrace, Adelaide, 5000, City of Adelaide, South Australia, 5000, Australia",-34.91892260,138.60423668,edu, 43a03cbe8b704f31046a5aba05153eb3d6de4142,Towards Robust Face Recognition from Video,Oak Ridge National Laboratory,Oak Ridge National Laboratory,"Oak Ridge National Laboratory, Oak Ridge, Roane County, Tennessee, USA",35.93006535,-84.31240032,edu, +434300db45ea1b0b36b0c606ca728aaaed235275,The Effect of Distinctiveness in Recognizing Average Face: Human Recognition and Eigenface Based Machine Recognition,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,China,China,China,35.86166000,104.19539700,edu, 43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,China,China,China,35.86166000,104.19539700,edu, 43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,East China Normal University,East China Normal University,"华东师范大学, 3663, 中山北路, 曹家渡, 普陀区, 普陀区 (Putuo), 上海市, 200062, 中国",31.22849230,121.40211389,edu, +43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,China,China,China,35.86166000,104.19539700,edu, 43bb4b073f7b2b9b626c7f3263cc61932271ab74,User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction,Georgia Institute of Technology,Georgia Institute of Technology,"Georgia Tech, Atlantic Drive Northwest, Bellwood, Rockdale, Atlanta, Fulton County, Georgia, 30318, USA",33.77603300,-84.39884086,edu, 4320b0b7e65607e96326990675ac15880dc08b89,A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 434d6726229c0f556841fad20391c18316806f73,Detecting Visual Relationships with Deep Relational Networks,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 436b2f5bf23bc0bd80680ee2ed279cbd55939b86,Visual Saliency Maps Can Apply to Facial Expression Recognition,Australian National University,Australian National University,"Canberra ACT 0200, Australia",-35.27769990,149.11852700,edu, 436b2f5bf23bc0bd80680ee2ed279cbd55939b86,Visual Saliency Maps Can Apply to Facial Expression Recognition,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +436b2f5bf23bc0bd80680ee2ed279cbd55939b86,Visual Saliency Maps Can Apply to Facial Expression Recognition,"Data61, CSIRO, Canberra, Australia","Data61, CSIRO, Canberra, Australia","North Road Australian National University, The Australian National University, Acton ACT 2601, Australia",-35.27769990,149.11852700,edu, 435514bc2103deb604d762095d8faf77be544b9a,Feature Localisation in Three-Dimensional Faces,University of York,University of York,"University of York, Lakeside Way, Heslington, York, Yorkshire and the Humber, England, YO10 5FN, UK",53.94540365,-1.03138878,edu, 43776d1bfa531e66d5e9826ff5529345b792def7,Automatic Critical Event Extraction and Semantic Interpretation by Looking-Inside,"University of California, San Diego","University of California, San Diego","UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA",32.87935255,-117.23110049,edu, 430cfa330b32633f6022ffdea0102bbd58a2fa49,Neural Image Captioning for Intelligent Vehicle-to-Passenger Communication,Stanford University,Stanford University,"Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA",37.43131385,-122.16936535,edu, @@ -14796,13 +18217,19 @@ a0e9064d59cb3b23b425bb954dd8c77fdc8637c8,The Neural Painter: Multi-Turn Image Ge 431e80aeee80a74f41d8af1336016340cd8e4848,Mapping Brain-Behavior Partial Correlations : Application to Autism,University of Wisconsin Madison,University of Wisconsin Madison,"University of Wisconsin-Madison, Marsh Lane, Madison, Dane County, Wisconsin, 53705-2221, USA",43.07982815,-89.43066425,edu, 431e80aeee80a74f41d8af1336016340cd8e4848,Mapping Brain-Behavior Partial Correlations : Application to Autism,McGill University,McGill University,"McGill University, Rue Sherbrooke Ouest, Quartier des Spectacles, Ville-Marie, Montréal, Agglomération de Montréal, Montréal (06), Québec, H3A 3P8, Canada",45.50397610,-73.57496870,edu, 437edf4b1e8939a3833d8eb814447d9132d7d758,Image matching with distinctive visual vocabulary,Carnegie Mellon University,Carnegie Mellon University,"Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA",37.41021930,-122.05965487,edu, +433bb809862f472d6f7f82c5e1f677d194c3fbb3,An Experimental Investigation about the Integration of Facial Dynamics in Video-Based Face Recognition,Finland,Finland,Finland,61.92411000,25.74815110,edu, 43e99b76ca8e31765d4571d609679a689afdc99e,Learning Dense Facial Correspondences in Unconstrained Images,University of Southern California,University of Southern California,"University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA",34.02241490,-118.28634407,edu, 431dc992b6f38b9e5eac4a5706af8dae01791334,Organ Segmentation in Poultry Viscera Using RGB-D,Aalborg University,Aalborg University,"AAU, Pontoppidanstræde, Sønder Tranders, Aalborg, Aalborg Kommune, Region Nordjylland, 9220, Danmark",57.01590275,9.97532827,edu, 431dc992b6f38b9e5eac4a5706af8dae01791334,Organ Segmentation in Poultry Viscera Using RGB-D,University of Barcelona,University of Barcelona,"Universitat de Barcelona, Carrer de la Diputació, l'Antiga Esquerra de l'Eixample, Eixample, Barcelona, BCN, CAT, 08013, España",41.38689130,2.16352385,edu, 4391c43a59a9761c9c5465005399537b0695b916,FinBrain: When Finance Meets AI 2.0,Zhejiang University,Zhejiang University,"浙江大学之江校区, 之江路, 转塘街道, 西湖区 (Xihu), 杭州市 Hangzhou, 浙江省, 310008, 中国",30.19331415,120.11930822,edu, +4391c43a59a9761c9c5465005399537b0695b916,FinBrain: When Finance Meets AI 2.0,China,China,China,35.86166000,104.19539700,edu, +43ae4867d058453e9abce760ff0f9427789bab3a,Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 439647914236431c858535a2354988dde042ef4d,Face illumination normalization on large and small scale features,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, 439647914236431c858535a2354988dde042ef4d,Face illumination normalization on large and small scale features,Sun Yat-Sen University,Sun Yat-Sen University,"中大, 新港西路, 龙船滘, 康乐, 海珠区 (Haizhu), 广州市, 广东省, 510105, 中国",23.09461185,113.28788994,edu, +439647914236431c858535a2354988dde042ef4d,Face illumination normalization on large and small scale features,China,China,China,35.86166000,104.19539700,edu, 439647914236431c858535a2354988dde042ef4d,Face illumination normalization on large and small scale features,Hong Kong Baptist University,Hong Kong Baptist University,"香港浸會大學 Hong Kong Baptist University, 安明街 On Ming Street, 石門 Shek Mun, 石古壟 Shek Kwu Lung, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1132, 中国",22.38742010,114.20822220,edu, +434a0aebf3522638d75614b0de1f0c2dcc1b19f1,Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +434a0aebf3522638d75614b0de1f0c2dcc1b19f1,Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 4308f53244bbb6a1e22ba1d39e079e5065a51364,Ethnicity Identification from Face Images,Michigan State University,Michigan State University,"Michigan State University, Farm Lane, East Lansing, Ingham County, Michigan, 48824, USA",42.71856800,-84.47791571,edu, 439f3a865dfb7b42c600a095a6fcee1c1f4768ad,Applying deep learning to classify pornographic images and videos,American University in Cairo,The American University in Cairo,"الجامعة الأمريكية بالقاهرة, شارع القصر العينى, القاهرة القديمة, جاردن سيتي, القاهرة, محافظة القاهرة, 11582, مصر",30.04287695,31.23664139,edu, 4300c7773a130b4995f60ba5ed920dd1782a3527,Support Vector Machines in face recognition with occlusions,Ohio State University,The Ohio State University,"The Ohio State University, Woody Hayes Drive, Columbus, Franklin County, Ohio, 43210, USA",40.00471095,-83.02859368,edu, @@ -14812,7 +18239,9 @@ a0e9064d59cb3b23b425bb954dd8c77fdc8637c8,The Neural Painter: Multi-Turn Image Ge 438e7999c937b94f0f6384dbeaa3febff6d283b6,"Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild",University of Surrey,University of Surrey,"University of Surrey, Spine Road, Guildford Park, Guildford, Surrey, South East, England, GU2 7XH, UK",51.24303255,-0.59001382,edu, 438e7999c937b94f0f6384dbeaa3febff6d283b6,"Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild",Jiangnan University,Jiangnan University,"江南大学站, 蠡湖大道, 滨湖区, 南场村, 滨湖区 (Binhu), 无锡市 / Wuxi, 江苏省, 214121, 中国",31.48542550,120.27395810,edu, 43e5817c18ec570d614669e3940d82791d285a10,Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +43e5817c18ec570d614669e3940d82791d285a10,Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition,China,China,China,35.86166000,104.19539700,edu, 43e5817c18ec570d614669e3940d82791d285a10,Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition,University of Chinese Academy of Sciences,University of Chinese Academy of Sciences,"University of Chinese Academy of Sciences, UCAS, Yuquanlu, 玉泉路, 田村, 海淀区, 100049, 中国",39.90828040,116.24585270,edu, +43e5817c18ec570d614669e3940d82791d285a10,Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition,China,China,China,35.86166000,104.19539700,edu, 439b6a5b91f1c5a751846bed7dd27c698a7ee2c4,Depth Information Guided Crowd Counting for Complex Crowd Scenes,Zhengzhou University,Zhengzhou University,"科学大道, 中原区 (Zhongyuan), 郑州市 / Zhengzhou, 河南省, 450001, 中国",34.80881680,113.53526640,edu, 439b6a5b91f1c5a751846bed7dd27c698a7ee2c4,Depth Information Guided Crowd Counting for Complex Crowd Scenes,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, 4377b03bbee1f2cf99950019a8d4111f8de9c34a,Selective Encoding for Recognizing Unreliably Localized Faces,University of Maryland,University of Maryland,"The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA",39.28996850,-76.62196103,edu, @@ -14820,11 +18249,18 @@ a0e9064d59cb3b23b425bb954dd8c77fdc8637c8,The Neural Painter: Multi-Turn Image Ge 4308bd8c28e37e2ed9a3fcfe74d5436cce34b410,Scalable Person Re-identification: A Benchmark,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 4308bd8c28e37e2ed9a3fcfe74d5436cce34b410,Scalable Person Re-identification: A Benchmark,University of Texas at San Antonio,University of Texas at San Antonio,"UTSA, Paseo Principal, San Antonio, Bexar County, Texas, 78249-1620, USA",29.58333105,-98.61944505,edu, 43694e7d5861a8bc8aa5884dba3efe2d387511c6,Supplementary Material : Annotating Object Instances with a Polygon-RNN,University of Toronto,University of Toronto,"University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada",43.66333345,-79.39769975,edu, +432326edbc598774315a0def91d1fc224d732922,Classification of Diseased Arecanut based on Texture Features,India,India,India,20.59368400,78.96288000,edu, +432326edbc598774315a0def91d1fc224d732922,Classification of Diseased Arecanut based on Texture Features,India,India,India,20.59368400,78.96288000,edu, +432326edbc598774315a0def91d1fc224d732922,Classification of Diseased Arecanut based on Texture Features,India,India,India,20.59368400,78.96288000,edu, 4335805938a35a47cf86c985e993f73060405679,Automatic red-eye effect removal using combined intensity and colour information,"COMSATS Institute of Information Technology, Lahore",COMSATS Institute of Information Technology,"COMSATS Institute of Information Technology, Ali Akbar Road, Dawood Residency, بحریہ ٹاؤن‬‎, Lahore District, پنجاب, 54700, ‏پاکستان‎",31.40063320,74.21372960,edu, 4335805938a35a47cf86c985e993f73060405679,Automatic red-eye effect removal using combined intensity and colour information,Myongji University,Myongji University,"명지대, 금학로, 역북동, 처인구, 용인시, 경기, 17144, 대한민국",37.23810230,127.19034310,edu, +43fb9efa79178cb6f481387b7c6e9b0ca3761da8,Mixture of parts revisited: Expressive part interactions for Pose Estimation,India,India,India,20.59368400,78.96288000,edu, +43fb9efa79178cb6f481387b7c6e9b0ca3761da8,Mixture of parts revisited: Expressive part interactions for Pose Estimation,India,India,India,20.59368400,78.96288000,edu, 433a6d6d2a3ed8a6502982dccc992f91d665b9b3,Transferring Landmark Annotations for Cross-Dataset Face Alignment.,Chinese University of Hong Kong,The Chinese University of Hong Kong,"中大 CUHK, NA梯 New Asia Stairs, 馬料水 Ma Liu Shui, 九肚村 Kau To Village, 沙田區 Sha Tin District, 新界 New Territories, HK, DD193 1191, 中国",22.42031295,114.20788644,edu, 433a6d6d2a3ed8a6502982dccc992f91d665b9b3,Transferring Landmark Annotations for Cross-Dataset Face Alignment.,Tsinghua University,Tsinghua University,"清华大学, 30, 双清路, 五道口, 后八家, 海淀区, 100084, 中国",40.00229045,116.32098908,edu, 432d5eca44ff558642491f3bb7f44f500993fd38,Accurate face alignment and adaptive patch selection for heart rate estimation from videos under realistic scenarios,Huazhong University of Science and Technology,Huazhong University of Science and Technology,"华中大, 珞喻路, 东湖新技术开发区, 关东街道, 东湖新技术开发区(托管), 洪山区 (Hongshan), 武汉市, 湖北省, 430074, 中国",30.50975370,114.40628810,edu, +432d5eca44ff558642491f3bb7f44f500993fd38,Accurate face alignment and adaptive patch selection for heart rate estimation from videos under realistic scenarios,China,China,China,35.86166000,104.19539700,edu, +432d5eca44ff558642491f3bb7f44f500993fd38,Accurate face alignment and adaptive patch selection for heart rate estimation from videos under realistic scenarios,China,China,China,35.86166000,104.19539700,edu, 435bc494d3606d1137fb8b70d481bd6497f15090,Object Recognition by Integrated Information Using Web Images,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, 435bc494d3606d1137fb8b70d481bd6497f15090,Object Recognition by Integrated Information Using Web Images,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, 435bc494d3606d1137fb8b70d481bd6497f15090,Object Recognition by Integrated Information Using Web Images,Kobe University,Kobe University,"神戸大学, 灘三田線, 灘区, 神戸市, 兵庫県, 近畿地方, 657-00027, 日本",34.72757140,135.23710000,edu, @@ -14835,13 +18271,21 @@ a0e9064d59cb3b23b425bb954dd8c77fdc8637c8,The Neural Painter: Multi-Turn Image Ge 432d8cba544bf7b09b0455561fea098177a85db1,Towards a Neural Statistician,University of Edinburgh,University of Edinburgh,"New College, New College Courtyard, The Mound, Old Town, Edinburgh, City of Edinburgh, Scotland, EH1 2LX, UK",55.94951105,-3.19534913,edu, 435dc062d565ce87c6c20a5f49430eb9a4b573c4,Lighting Condition Adaptation for Perceived Age Estimation,Tokyo Institute of Technology,Tokyo Institute of Technology,"東京工業大学, 厚木街道, 緑区, 町田市, 神奈川県, 関東地方, 226-0026, 日本",35.51675380,139.48342251,edu, 438f1841a0b09c96759dc870d663d837d07388e3,Emotional Context Influences Micro-Expression Recognition,Chinese Academy of Sciences,Chinese Academy of Sciences,"中国科学院心理研究所, 16, 林萃路, 朝阳区 / Chaoyang, 北京市, 100101, 中国",40.00447950,116.37023800,edu, +438f1841a0b09c96759dc870d663d837d07388e3,Emotional Context Influences Micro-Expression Recognition,China,China,China,35.86166000,104.19539700,edu, +4338b6137ee0d02f4bebd14e9a2430c837590209,Automatic eyeglasses removal from face images,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +43d073d3fdc22f0d74793fdac47ff56b66c95990,Online Localization and Prediction of Actions and Interactions,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +4335d53e763b2caf20f06928cd420ae09e5041ad,Discrete-continuous optimization for multi-target tracking,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, +43e77b5157b0fa0f365808e26af287c3164e002f,UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss,TU Darmstadt,TU Darmstadt,"Karolinenpl. 5, 64289 Darmstadt, Germany",49.87482770,8.65632810,edu, 4348c8706b92a9bd90dbbd735f824ec79e96dd71,Pitfalls in Designing Zero-Effort Deauthentication: Opportunistic Human Observation Attacks,Aalto University,Aalto University,"Aalto, 24, Otakaari, Otaniemi, Suur-Tapiola, Espoo, Helsingin seutukunta, Uusimaa, Etelä-Suomi, Manner-Suomi, 02150, Suomi",60.18558755,24.82427330,edu, +43bf6489abd63992b82f2008b4417a1638955f0c,Illumination Spaces in YDB and CMU-PIE,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, +43bf6489abd63992b82f2008b4417a1638955f0c,Illumination Spaces in YDB and CMU-PIE,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, 43b6fb3146cb92bc36a2aab1368d8665af106a87,"ASePPI, an adaptive scrambling enabling privacy protection and intelligibility in H.264/AVC",EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, 43b6fb3146cb92bc36a2aab1368d8665af106a87,"ASePPI, an adaptive scrambling enabling privacy protection and intelligibility in H.264/AVC",EURECOM,EURECOM,"Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France",43.61438600,7.07112500,edu, b084683e5bab9b2bc327788e7b9a8e049d5fff8f,Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks,University of Queensland,University of Queensland,"University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia",-27.49741805,153.01316956,edu, b0b07732a9ab9b2b9d9dba41e1b9811629fa43dc,An Efficient Vision-Based Pedestrian Detection and Tracking System for ITS Applications,Electrical and Computer Engineering,Electrical and Computer Engineering,"Electrical and Computer Engineering, Boston Avenue, South Overton, Lubbock, Lubbock County, Texas, 79409, USA",33.58667840,-101.87539204,edu, b0b07732a9ab9b2b9d9dba41e1b9811629fa43dc,An Efficient Vision-Based Pedestrian Detection and Tracking System for ITS Applications,University of Ottawa,University of Ottawa,"University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada",45.42580475,-75.68740118,edu, b05633a18a48d9c18735fd0a186a2654297ae543,Development of holistic vs. featural processing in face recognition,Bournemouth University,Bournemouth University,"Bournemouth University, BU footpaths, Poole, South West England, England, BH10 4HX, UK",50.74223495,-1.89433739,edu, +b0a96954377390e80de59f0063e5703a21391eb3,Emotionally Representative Image Discovery for Social Events,China,China,China,35.86166000,104.19539700,edu, b0a96954377390e80de59f0063e5703a21391eb3,Emotionally Representative Image Discovery for Social Events,University of Alberta,University of Alberta,"University of Alberta, 87 Avenue NW, University of Alberta, Edmonton, Alberta, T6G, Canada",53.52385720,-113.52282665,edu, b06b960293b1c7744580e03539713c9fd83c0b63,Distributed Submodular Cover: Succinctly Summarizing Massive Data,Yale University,Yale University,"Yale University, West Campus Drive, West Haven, New Haven County, Connecticut, 06516, USA",41.25713055,-72.98966960,edu, b013cce42dd769db754a57351d49b7410b8e82ad,Automatic point-based facial trait judgments evaluation,Universitat Oberta de Catalunya,Universitat Oberta de Catalunya,"Universitat Oberta de Catalunya, 156, Rambla del Poblenou, Provençals del Poblenou, Sant Martí, Barcelona, BCN, CAT, 08018, España",41.40657415,2.19453410,edu, @@ -14851,9 +18295,13 @@ b05faf0ae510cbd7510a6242aafdda7de3088282,Encoder Semantic Decoder Input Image Mu b05faf0ae510cbd7510a6242aafdda7de3088282,Encoder Semantic Decoder Input Image MultiTask Loss Instance Decoder Depth Decoder Semantic Task Uncertainty Instance Task Uncertainty Depth Task Uncertainty Σ,University of Cambridge,University of Cambridge,"Clifford Allbutt Lecture Theatre, Robinson Way, Romsey, Cambridge, Cambridgeshire, East of England, England, CB2 0QH, UK",52.17638955,0.14308882,edu, b0c66e95b5eb36471bcdcdaad7d9368556110109,Fuzzy Rule Based Quality Measures for Adaptive Multimodal Biometric Fusion at Operation Time,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, b0c66e95b5eb36471bcdcdaad7d9368556110109,Fuzzy Rule Based Quality Measures for Adaptive Multimodal Biometric Fusion at Operation Time,University of Calgary,University of Calgary,"University of Calgary, Service Tunnel, University Heights, Calgary, Alberta, T2N 1N7, Canada",51.07840380,-114.12870770,edu, +b0771b7ca52022b37a563464f823af67c0b36c03,Image Retrieval Technique Using Local Binary Pattern ( LBP ),India,India,India,20.59368400,78.96288000,edu, +b0771b7ca52022b37a563464f823af67c0b36c03,Image Retrieval Technique Using Local Binary Pattern ( LBP ),India,India,India,20.59368400,78.96288000,edu, b0d61c3e9851bb83cda8bc079e92d73a43e479bc,A Thin Shell Approach to the Registration of Implicit Surfaces,University of Vienna,University of Vienna,"Uni Wien, 1, Universitätsring, Schottenviertel, KG Innere Stadt, Innere Stadt, Wien, 1010, Österreich",48.21313020,16.36068653,edu, b0d61c3e9851bb83cda8bc079e92d73a43e479bc,A Thin Shell Approach to the Registration of Implicit Surfaces,University of Bonn,University of Bonn,"Rheinische Friedrich-Wilhelms-Universität Bonn, Arkadenhof, Bonn-Zentrum, Stadtbezirk Bonn, Bonn, Regierungsbezirk Köln, Nordrhein-Westfalen, 53113, Deutschland",50.73381240,7.10224650,edu, +b0b628bda8a6c4267eeaf91420b8610400ff398f,Intact emotion facilitation for nonsocial stimuli in autism: is amygdala impairment in autism specific for social information?,14,14,"1115 Mt Auburn Rd, Evansville, IN 47720, USA",37.98878440,-87.59462710,edu, b0724a7b4b63d58e249379b889656a899455e0c2,Easy Identification from Better Constraints : Multi-Shot Person Re-Identification from Reference Constraints,Northwestern University,Northwestern University,"Northwestern University, Northwestern Place, Downtown, Evanston, Cook County, Illinois, 60208, USA",42.05511640,-87.67581113,edu, +b0724a7b4b63d58e249379b889656a899455e0c2,Easy Identification from Better Constraints : Multi-Shot Person Re-Identification from Reference Constraints,Chinese Academy of Science,Chinese Academy of Science,"52 Sanlihe Rd, Xicheng Qu, Beijing Shi, China",39.91063270,116.33563210,edu, b0d343ad82eb4060f016ff39289eacb222c45632,Transferable Semi-Supervised Semantic Segmentation,"National University of Defense Technology, China","National University of Defence Technology, Changsha 410000, China","国防科学技术大学, 三一大道, 开福区, 开福区 (Kaifu), 长沙市 / Changsha, 湖南省, 410073, 中国",28.22902090,112.99483204,edu, b0d343ad82eb4060f016ff39289eacb222c45632,Transferable Semi-Supervised Semantic Segmentation,National University of Singapore,National University of Singapore,"NUS, Former 1936 British Outpost, Nepal Hill, Clementi, Southwest, 117542, Singapore",1.29620180,103.77689944,edu, b0d343ad82eb4060f016ff39289eacb222c45632,Transferable Semi-Supervised Semantic Segmentation,Beckman Institute,Beckman Institute,"Beckman Institute, The Presidents' Walk, Urbana, Champaign County, Illinois, 61801-2341, USA",40.11571585,-88.22750772,edu, @@ -14890,6 +18338,9 @@ b051715249e47fa7e987e1a5504830af0521c38c,Sentribute: image sentiment analysis fr b03b4d8b4190361ed2de66fcbb6fda0c9a0a7d89,Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, b03b4d8b4190361ed2de66fcbb6fda0c9a0a7d89,Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition,Peking University,Peking University,"北京大学, 5号, 颐和园路, 稻香园南社区, 海淀区, 北京市, 100871, 中国",39.99223790,116.30393816,edu, b0b4ce1962ad6732965aa7f4b3dd1bfd32f0ae5c,A Database of Morphed Facial Expressions of Emotions,Lund University,Lund University,"TEM at Lund University, 9, Klostergatan, Stadskärnan, Centrum, Lund, Skåne, Götaland, 22222, Sverige",55.70395710,13.19020110,edu, +b0760764dc573b519f76d5a79531d49af333c67a,Neural Style Transfer: A Review,Member,Member,"1322 N Inglewood Ave, Coffeyville, KS 67337, USA",37.05826350,-95.67914910,edu, b099dfc5c823be79f9ca96168263c40d0020b92e,Co-Training for Demographic Classification Using Deep Learning from Label Proportions,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu, b099dfc5c823be79f9ca96168263c40d0020b92e,Co-Training for Demographic Classification Using Deep Learning from Label Proportions,Illinois Institute of Technology,Illinois Institute of Technology,"Illinois Institute of Technology, South State Street, Bronzeville, Chicago, Cook County, Illinois, 60616, USA",41.83619630,-87.62655913,edu, +b02342a423eef6e19f473eba26b067405b525f16,Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection,"DGIST, Daegu, Republic of Korea","DGIST, Daegu, Republic of Korea","South Korea, Daegu, Dalseong-gun, Yuga-myeon, 테크노중앙대로 333",35.70528600,128.45710200,edu, +b02342a423eef6e19f473eba26b067405b525f16,Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection,KAIST,KAIST,"291 Daehak-ro, Eoeun-dong, Yuseong-gu, Daejeon, South Korea",36.37214270,127.36039000,edu, b018fa5cb9793e260b8844ae155bd06380988584,Project STAR IST-2000-28764 Deliverable D 6 . 3 Enhanced face and arm / hand detector,Katholieke Universiteit Leuven,Katholieke Universiteit Leuven,"Laboratorium voor Bos, natuur en landschap, 102, Vital Decosterstraat, Sint-Maartensdal, Leuven, Vlaams-Brabant, Vlaanderen, 3000, België / Belgique / Belgien",50.88306860,4.70195030,edu, diff --git a/scraper/reports/stats/unknown_papers.csv b/scraper/reports/stats/unknown_papers.csv index b3090c78..9b9cce02 100644 --- a/scraper/reports/stats/unknown_papers.csv +++ b/scraper/reports/stats/unknown_papers.csv @@ -22,10 +22,6 @@ Department of Electrical Engineering and Robotics, Shahrood University of Techno Milad Lankarany and Alireza Ahmadyfard Keywords: Ear Biometrics, Ear Segmentation, Topographic Features." -adf1b20cffb0ab12d20f878d07373efc4c1bc6c4,Image Retagging Using Collaborative Tag Propagation,"Image Retagging Using Collaborative -Tag Propagation -Dong Liu, Shuicheng Yan, Senior Member, IEEE, Xian-Sheng Hua, Member, IEEE, and -Hong-Jiang Zhang, Fellow, IEEE" ad7a7f70e460d4067d7170bcc0f1ea62eedd7234,CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams,"CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams Lukas Cavigelli, Luca Benini" @@ -45,14 +41,6 @@ Department of Computer Science, The University of Georgia, Athens, Georgia 30602 Karan Sharma Arun CS Kumar Emails: Suchendra M. Bhandarkar" -ada4901e0022b4fdeb9ec3ae26b986199f7ae3be,Human Face Recognition based on Improved PCA Algorithm,"Human Face Recognition based on Improved -PCA Algorithm -Xu Yue -College of art and design, LanZhou JiaoTong University, Lanzhou, China -Email: -Linhao Li -AT&T Labs, 200 South Laurel Ave, #D4-3C05, NJ, USA -Email:" ade32e04dceeaed72c3e99a9f3698b2fe01c9863,Learning confidence measures in the wild,"F. TOSI ET AL.: LEARNING CONFIDENCE MEASURES IN THE WILD Learning confidence measures in the wild University of Bologna @@ -140,18 +128,6 @@ Sumazly Ulaiman and 2R.U. Gobithaasan Center for Artificial Intelligent Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia School of Informatics and App. Maths, Universiti Malaysia Terengganu, Terengganu, Malaysia Received 2014-02-20; Revised 2014-04-29; Accepted 2014-08-04" -adaff7ff015b4be77e8c0bdb9d002b614d6e2851,A Hybrid Method for Face Recognition using LLS CLAHE Method,"International Journal of Computer Applications (0975 – 8887) -Volume 152 – No.7, October 2016 -A Hybrid Method for Face Recognition using LLS -CLAHE Method -Mohandas College of Engineering and -A. Thamizharasi -Assistant Professor, -Department of Computer -Science & Engineering, -Technology, -Anad, Nedumangad P.O., -Trivandrum, Kerala, India" ad88fcfd12b62d607259db8d98e2a1a0a9642ca0,Real-time tracking-with-detection for coping with viewpoint change,"Real-Time Tracking-with-Detection for Coping With Viewpoint Change Shaul Oron · Aharon Bar-Hillel · Shai Avidan Received: 11 May 2014 / Revised: 02 Nov 2014 / Accepted: 09 Mar 2015" @@ -161,21 +137,9 @@ Alex M. Bronstein Michael M. Bronstein Pablo Sprechmann Guillermo Sapiro" -ad9937ff6c5bff4dae72ca90eddc4dd77751b3fa,FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images,"FusionNet and AugmentedFlowNet: -Selective Proxy Ground Truth -for Training on Unlabeled Images -Osama Makansi*, Eddy Ilg*, and Thomas Brox -University of Freiburg, Germany" ad6bcf4384a7604b6252a6eeefade4c486b01240,Cluster-Based Distributed Face Tracking in Camera Networks,"Cluster-Based Distributed Face Tracking in Camera Networks Josiah Yoder, Henry Medeiros, Johnny Park, and Avinash C. Kak" -adb2d1e241933ef363bcf03d865a9219d2911780,Classification of Age from Facial Features of Humans,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611 -Classification of Age from Facial Features of -Poonam Shirode1, S. M. Handore2 -, 2Department of E&TC, K.J’s Educational Institute’s TCOER, Pune, Maharashtra, India -Humans" ad8642e186c5c81d06934d4e6fc249b7cbca40e8,Learning Transferable Architectures for Scalable Image Recognition,"Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Google Brain @@ -233,20 +197,6 @@ psychophysical paradigm for investigating motor contributions to expression perc some of the limitations inherent in simple labeling and rating tasks. Observers were asked to judge whether smiles drawn from a morph continuum were sincere or insincere, in the presence or absence of motor load induced by the concurrent production of vowel sounds. Having confirmed that smile" -040601d28b683c3c8b48b29e93b6aa3c26dbdf5f,"Facial Expression Recognition for Color Images using Gabor , Log Gabor Filters and PCA","International Journal of Computer Applications (0975 – 8887) -Volume 113 – No. 4, March 2015 -Facial Expression Recognition for Color Images using -Gabor, Log Gabor Filters and PCA -Shail Kumari Shah -PG Scholar, -Computer Engg. Dept. -Vineet Khanna -Assistant Professor, -Computer Engg. Dept. -Rajasthan College of Engineering for Women -Rajasthan Technical University, Jaipur, India -Rajasthan College of Engineering for Women -Rajasthan Technical University, Jaipur, India" 04cb43806ca57040100b33af0781e4331f8daa56,Long-term Multi-granularity Deep Framework for Driver Drowsiness Detection,"Long-term Multi-granularity Deep Framework for Driver Drowsiness Detection Jie Lyu @@ -258,15 +208,6 @@ Xi’an Jiaotong University Email: Email: Email:" -0410659b6a311b281d10e0e44abce9b1c06be462,"A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning","A Gift from Knowledge Distillation: -Fast Optimization, Network Minimization and Transfer Learning -Junho Yim1 -Donggyu Joo1 -Jihoon Bae2 -Junmo Kim1 -School of Electrical Engineering, KAIST, South Korea -Electronics and Telecommunications Research Institute -{junho.yim, jdg105," 047d7cf4301cae3d318468fe03a1c4ce43b086ed,Co-Localization of Audio Sources Using Binaural Features and Locally-Linear Regression,"Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression Antoine Deleforge, Radu Horaud, Yoav Y. Schechner, Laurent Girin @@ -374,26 +315,6 @@ August 2002 04e5d374c10b70a74d79070103cab1f362b113ba,"DeepHash: Getting Regularization, Depth and Fine-Tuning Right","DeepHash: Getting Regularization, Depth and Fine-Tuning Right Jie Lin∗,1,3, Olivier Mor`ere∗,1,2,3, Vijay Chandrasekhar1,3, Antoine Veillard2,3, Hanlin Goh1,3 I2R1, UPMC2, IPAL3" -0422a9bc1bde71d3b4fc4f52b4a62b15f2fb101f,A Customized Vision System for Tracking Humans Wearing Reflective Safety Clothing from Industrial Vehicles and Machinery,"Sensors 2014, 14, 17952-17980; doi:10.3390/s141017952 -OPEN ACCESS -sensors -ISSN 1424-8220 -www.mdpi.com/journal/sensors -Article -A Customized Vision System for Tracking Humans -Wearing Reflective Safety Clothing from Industrial -Vehicles and Machinery -Rafael Mosberger *, Henrik Andreasson and Achim J. Lilienthal -AASS Research Centre, Örebro University, 70182 Örebro, Sweden; -E-Mails: (H.A.); (A.J.L.) -* Author to whom correspondence should be addressed; E-Mail: -Tel.: +46-1930-1113; Fax: +46-1930-3463. -External Editor: Vittorio M.N. Passaro -Received: 8 July 2014; in revised form: 5 September 2014 / Accepted: 9 September 2014 / -Published: 26 September 2014" -04741341e26bdcd9ed1de18e5a95c31d7b64fa36,Adversarial Action Prediction Networks,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, FEBRUARY 2018 -Adversarial Action Prediction Networks -Yu Kong, Member, IEEE, Zhiqiang Tao, Student Member, IEEE and Yun Fu, Senior Member, IEEE" 0485e96bb0c1276fe2a27271b939b6e67997acfc,Active Learning for Structured Probabilistic Models,"Active Learning for Structured Probabilistic Models Qing Sun Virginia Tech @@ -445,15 +366,6 @@ Using DCT for Face Detection Radovan Fusek, Eduard Sojka, Karel Mozdˇreˇn, and Milan ˇSurkala Technical University of Ostrava, FEECS, Department of Computer Science, 7. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic" -04d9abdae728f09e1d1f78e36a5de551c3a690f5,Color Local Texture Features Based Face Recognition,"International Journal of Innovations in Engineering and Technology (IJIET) -Color Local Texture Features Based Face -Recognition -Priyanka V. Bankar -Department of Electronics and Communication Engineering -SKN Sinhgad College of Engineering, Korti, Pandharpur, Maharashtra, India -Department of Electronics and Communication Engineering -SKN Singhgad College of Engineering, Korti, Pandharpur, Maharashtra, India -Anjali C. Pise" 044600cc4b93bb0504e8d72a5476d16f1a61a107,Discriminant Analysis of Principal Components for Face Recognition,"DiscriminantAnalysisofPrincipalComponentsforFace Recognition(cid:3) W.Zhao @@ -479,26 +391,6 @@ Socio-affective touch expression database Haemy Lee Masson*, Hans Op de Beeck* Department of Brain and Cognition, KU Leuven, Leuven, Belgium * (HLM); (HOB)" -0435a34e93b8dda459de49b499dd71dbb478dc18,"VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification Using Convolutional Neural Networks","VEGAC: Visual Saliency-based Age, Gender, and Facial Expression Classification -Using Convolutional Neural Networks -Ayesha Gurnani£1, Vandit Gajjar£1, Viraj Mavani£1, Yash Khandhediya£1 -Department of Electronics and Communication Engineering and -Computer Vision Group, L. D. College of Engineering, Ahmedabad, India -{gurnani.ayesha.52, gajjar.vandit.381, mavani.viraj.604, -the need for handcrafted facial descriptors and data -preprocessing. D-CNN models have been not only -successfully applied to human face analysis, but also for -the visual saliency detection [21, 22, 23]. Visual Saliency -is fundamentally an intensity map where higher intensity -signifies regions, where a general human being would -look, and lower intensities mean decreasing level of visual -ttention. It’s a measure of visual attention of humans -ased on the content of the image. It has numerous -pplications in computer vision and image processing -tasks. It is still an open problem when considering the MIT -Saliency Benchmark [24]. -In previous five years, considering age estimation, -gender classification and facial expression classification" 0447bdb71490c24dd9c865e187824dee5813a676,Manifold Estimation in View-based Feature Space for Face Synthesis Across Pose Paper 27,"Manifold Estimation in View-based Feature Space for Face Synthesis Across Pose Paper 27" @@ -582,9 +474,6 @@ descriptor Walid AYEDI1,2, Hichem SNOUSSI1, Fethi SMACH2 and Mohamed ABID2 Charles Delaunay Institute (FRE CNRS 2848), University of Technology of Troyes, 10010 Troyes, France Sfax University, National Engineering School of Sfax, 3052 Sfax, Tunisia" -04adf2e51df06a03b6decf520b0952a54a538a18,Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices,"Randomized Robust Subspace Recovery for High Dimensional -Data Matrices -Mostafa Rahmani, Student Member, IEEE and George K. Atia, Member, IEEE" 047f8d5d5134dd12c67038623417f05ab9885056,Motion Synthesis In : Static Scan + Expression Out : Best Fitting Sequence + Angry Out : Animated Sequence Statistical Analysis Expression Recognition,"D Faces in Motion: Fully Automatic Registration and Statistical Analysis Timo Bolkarta,∗, Stefanie Wuhrera Saarland University, Saarbr¨ucken, Germany" @@ -594,27 +483,12 @@ Marc-Andr´e Carbonneau∗ Veronika Cheplygina† Eric Granger∗ Ghyslain Gagnon‡" -04afb510e11e963fb18e3271ac966164db806120,Harvesting Social Images for Bi-Concept Search,"Harvesting Social Images for Bi-Concept Search -Xirong Li, Cees G. M. Snoek, Senior Member, IEEE, Marcel Worring, Member, IEEE, and -Arnold W. M. Smeulders, Member, IEEE" 0480b458439069687ec41c90178ba7e9a056bcca,Gender Classification Using Gradient Direction Pattern,"Sci.Int(Lahore),25(4),797-799,2013 ISSN 1013-5316; CODEN: SINTE 8 GENDER CLASSIFICATION USING GRADIENT DIRECTION PATTERN Department of Computer Science, School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand. Mohammad Shahidul Islam" -04f55f81bbd879773e2b8df9c6b7c1d324bc72d8,Multi-view Face Analysis Based on Gabor Features,"Multi-view Face Analysis Based on Gabor Features -Hongli Liu, Weifeng Liu, Yanjiang Wang -College of Information and Control Engineering in China University of Petroleum, -Qingdao 266580, China" -04b4c779b43b830220bf938223f685d1057368e9,Video retrieval based on deep convolutional neural network,"Video retrieval based on deep convolutional -neural network -Yajiao Dong -School of Information and Electronics, -Beijing Institution of Technology, Beijing, China -Jianguo Li -School of Information and Electronics, -Beijing Institution of Technology, Beijing, China" 041ac91c85276f61bec3f0f3c42782e4f9a31f88,Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform,"Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform Lingni Ma1, J¨org St¨uckler2, Tao Wu1 and Daniel Cremers1" @@ -652,15 +526,6 @@ Zeeshan Hayder1,2, Xuming He2,1 Australian National University & 2Data61/CSIRO ∗ Mathieu Salzmann2,3 CVLab, EPFL, Switzerland" -9d757c0fede931b1c6ac344f67767533043cba14,Search Based Face Annotation Using PCA and Unsupervised Label Refinement Algorithms,"Search Based Face Annotation Using PCA and -Unsupervised Label Refinement Algorithms -Shital Shinde1, Archana Chaugule2 -Computer Department, Savitribai Phule Pune University -D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18 -Mahatma Phulenagar, 120/2 Mahaganpati soc, Chinchwad, Pune-19, MH, India -D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18 -Computer Department, D.Y.PIET, Pimpri, Pune-18, MH, India -presents" 9da2b79c6942852e8076cdaa4d4c93eb1ae363f1,Constraint-Based Visual Generation,"Constraint-Based Visual Generation Giuseppe Marra Francesco Giannini @@ -718,10 +583,6 @@ Using 3D Thermal Sensing Ariel Kapusta and Patrick Beeson IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) August, 30, 2016" -9d9d496565c68a2d0ba5026aa527215ac5f82e23,Generating Discriminating Cartoon Faces Using Interacting Snakes,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 11, NOVEMBER 2003 -Generating Discriminating Cartoon Faces -Using Interacting Snakes -Rein-Lien Hsu, Member, IEEE, and Anil K. Jain, Fellow, IEEE" 9d0ceae3747467488ba914cb2ca5b30ac3032286,Modèles graphiques probabilistes pour la reconnaissance de formes. (Probabilistic graphical models for shape recognition),"Modèles graphiques probabilistes pour la reconnaissance de formes Sabine Barrat @@ -816,9 +677,6 @@ Cheng-Yang Fu Mykhailo Shvets Alexander C. Berg Computer Science Department of UNC at Chapel Hill {cyfu, mshvets," -9d4c05c7c9284c8e303641b95e997f11df2dd1a7,Misalignment-robust Face Recognition via Efficient Locality-constrained Representation,"Misalignment-robust Face Recognition via Effi- -ient Locality-constrained Representation -Yandong Wen, Weiyang Liu, Meng Yang, Member, IEEE, Yuli Fu, Zhifeng Li, Senior Member, IEEE" 9d8fd639a7aeab0dd1bc6eef9d11540199fd6fe2,EARNING TO C LUSTER,"Workshop track - ICLR 2018 LEARNING TO CLUSTER Benjamin B. Meier, Thilo Stadelmann & Oliver D¨urr @@ -855,10 +713,6 @@ Luc van Gool1,3 ETH Z¨urich Kooaba AG K.U. Leuven" -9da9ee38d5845d39497b10b0ab442580e75ee4d3,Dynamic Video Segmentation Network,"Dynamic Video Segmentation Network -Yu-Syuan Xu, Tsu-Jui Fu∗, Hsuan-Kung Yang∗, Student Member, IEEE and Chun-Yi Lee, Member, IEEE -Elsa Lab, Department of Computer Science, National Tsing Hua Uiversity -{yusean0118, rayfu1996ozig," 9d518344d5c7d889f9c90c6193be4757fa584770,3 D registration based on a multi-references local parametrisation : Application to 3 D faces,"D registration based on a multi-references local parametrisation: Application to 3D faces Wieme Gadacha1, Faouzi Ghorbel1 @@ -945,11 +799,6 @@ P. Sumathi R. Manickachezian Associate Professor, Research Department of Computer Science, NGM College, Pollachi, Coimbatore, Tamil Nadu, India." -c22aa66b2fad7ed31252b5e6276a0df371c57b4c,The neural network image captioning model based on adversarial training,"The neural network image captioning model based on -dversarial training -K P Korshunova1 -The Branch of National Research University ""Moscow Power Engineering Institute"" in -Smolensk, Russia" c231d8638e8b5292c479d20f7dd387c53e581a1a,Multi-View Data Generation Without View Supervision,"MULTI-VIEW DATA GENERATION WITHOUT VIEW SUPERVISION Micka¨el Chen, Ludovic Denoyer @@ -983,26 +832,6 @@ Subscriptions: http://jcn.sagepub.com/subscriptions Reprints: http://www.sagepub.com/journalsReprints.nav" -c2d065bc8067384c40b3e8146cadc9a0c4c1d633,SLC25A12 expression is associated with neurite outgrowth and is upregulated in the prefrontal cortex of autistic subjects,"& 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 -www.nature.com/mp -ORIGINAL ARTICLE -SLC25A12 expression is associated with neurite -outgrowth and is upregulated in the prefrontal cortex -of autistic subjects -A-M Lepagnol-Bestel1, G Maussion1, B Boda2, A Cardona3, Y Iwayama4, A-L Delezoide5, J-M Moalic1, -D Muller2, B Dean6, T Yoshikawa4,7, P Gorwood1, JD Buxbaum8,9, N Ramoz1 and M Simonneau1 -INSERM U675, IFR2, Faculte´ de Me´ decine Xavier Bichat, Paris, France; 2Department of Basic Neuroscience, Centre Medical -Universitaire, Geneva, Switzerland; 3Histotechnology and Pathology Unit, Institut Pasteur, Paris, France; 4Laboratory for -AP-HP, Paris, France; 6The Rebecca L Cooper Research Laboratories, Mental Health Research Institute of Victoria, Parkville, -VIC, Australia; 7CREST, Japan Science and Technology Agency, Saitama, Japan; 8Department of Psychiatry, Mount Sinai -School of Medicine, New York, NY, USA and 9Department of Neuroscience, Mount Sinai School of Medicine, New York, -NY, USA -in the BA46 prefrontal cortex but not -Autism is a neurodevelopmental disorder with a strong genetic component, probably involving -several genes. Genome screens have provided evidence of linkage to chromosome 2q31–q33, -which includes the SLC25A12 gene. Association between autism and single-nucleotide -polymorphisms in SLC25A12 has been reported in various studies. SLC25A12 encodes the -mitochondrial aspartate/glutamate carrier functionally important" c2fb2cb5487ad404b8e66daf74198496c40bef32,Learning to Transfer Privileged Information,"Learning to Transfer Privileged Information Viktoriia Sharmanska1∗, Novi Quadrianto2, and Christoph Lampert1, Institute of Science and Technology Austria, Austria @@ -1027,12 +856,6 @@ in the joint-trajectories space. Our view-invariant recognition system has the f (1) Given a labeled Mocap sequences with M markers in 3D, which is a 3M -dimensional sequential data, the low dimensional manifold structure (i.e., geodesics distance, intrinsic dimensionality, etc) is learnt by using Tensor Voting. This is an offline process, as shown in Fig. 1." -c220f457ad0b28886f8b3ef41f012dd0236cd91a,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 -Crystal Loss and Quality Pooling for -Unconstrained Face Verification and Recognition -Rajeev Ranjan, Member, IEEE, Ankan Bansal, Hongyu Xu, Member, IEEE, -Swami Sankaranarayanan, Member, IEEE, Jun-Cheng Chen, Member, IEEE, -Carlos D Castillo, Member, IEEE, and Rama Chellappa, Fellow, IEEE" c2f2c89d7615df07b540748d6c53485c4cbfa9c0,An Experience Report on Requirements-Driven Model-Based Synthetic Vision Testing,"An Experience Report on Requirements-Driven Model-Based Synthetic Vision Testing Markus Murschitz and Oliver Zendel and Martin Humenberger @@ -1061,10 +884,6 @@ c2cb38fc68b877a96be99b814e8ee437e585f5b2,Mining on Manifolds: Metric Learning wi Ahmet Iscen1 Giorgos Tolias1 Yannis Avrithis2 Ondˇrej Chum1 VRG, FEE, CTU in Prague Inria Rennes" -c238f871c029d8c33949f8410f8cf3bf79ffc102,No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs,"No Blind Spots: Full-Surround Multi-Object -Tracking for Autonomous Vehicles using -Cameras & LiDARs -Akshay Rangesh, Member, IEEE, and Mohan M. Trivedi, Fellow, IEEE" c2e9300b0e72dca0b95ccd4181fc2a7a5178dea7,Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions.,"Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions @@ -1129,9 +948,6 @@ EM LCT Universit`a degli Studi di Trento Raffaella Bernardi CIMeC, DISI" -3f14b504c2b37a0e8119fbda0eff52efb2eb2461,Joint Facial Action Unit Detection and Feature Fusion: A Multi-Conditional Learning Approach,"Joint Facial Action Unit Detection and Feature -Fusion: A Multi-Conditional Learning Approach -Stefanos Eleftheriadis, Ognjen Rudovic, Member, IEEE, and Maja Pantic, Fellow, IEEE" 3fd90098551bf88c7509521adf1c0ba9b5dfeb57,Attribute-Based Classification for Zero-Shot Visual Object Categorization,"Page 1 of 21 *****For Peer Review Only***** Attribute-Based Classification for Zero-Shot @@ -1287,10 +1103,6 @@ lthough some heterogeneous configurations yield better throughput and per-progr homogeneous designs, some homogeneous configurations are optimal for particular throughput versus per- program performance trade-offs. Two core types provide most of the benefits from heterogeneity and a larger number of core types does not contribute much; job-to-core mapping is both important and challenging for" -3fb689c0f1db224d53d9fdaee578d3ff8522f807,"Integrating Motion, Illumination, and Structure in Video Sequences with Applications in Illumination-Invariant Tracking","Integrating Motion, Illumination, and Structure -in Video Sequences with Applications in -Illumination-Invariant Tracking -Yilei Xu, Student Member, IEEE, and Amit K. Roy-Chowdhury, Member, IEEE" 3f44352b857f2fc18c18c5ebb2cbf994ee22f44c,Humanist computing for knowledge discovery from ordered datasets,"HumanistComputingforKnowledgeDiscovery fromOrderedDatasets JonathanMichaelRossiter @@ -1322,10 +1134,6 @@ Evan Racah1, Christopher Beckham2, Tegan Maharaj2 Prabhat1, Christopher Pal2 Lawrence Berkeley National Lab, Berkeley, CA, ´Ecole Polytechnique de Montr´eal," -3fbd68d1268922ee50c92b28bd23ca6669ff87e5,A shape- and texture-based enhanced Fisher classifier for face recognition,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 10, NO. 4, APRIL 2001 -A Shape- and Texture-Based Enhanced Fisher -Classifier for Face Recognition -Chengjun Liu, Member, IEEE, and Harry Wechsler, Fellow, IEEE" 3faff93758fe7fc58b3832055cb15c6ca3f306a7,Evaluation of multi feature fusion at score-level for appearance-based person re-identification,"Evaluation of Multi Feature Fusion at Score-Level for Appearance-based Person Re-Identification Markus Eisenbach @@ -1349,12 +1157,6 @@ degree of Doctor of Philosophy Faculty of Science and Engineering The Department of Computing and Mathematics October 2010" -3f40c1d8c2fe5d416ffca93049d3f3539fb52079,Sample-Level CNN Architectures for Music Auto-Tagging Using Raw Waveforms,"SAMPLE-LEVEL CNN ARCHITECTURES FOR MUSIC AUTO-TAGGING -USING RAW WAVEFORMS -Taejun Kim1, Jongpil Lee2, Juhan Nam2 -School of Electrical and Computer Engineering, University of Seoul, -Graduate School of Culture Technology, KAIST, -{richter," e5eb7fa8c9a812d402facfe8e4672670541ed108,Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor,"Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor @@ -1385,18 +1187,6 @@ Interested in publishing with us? Contact" e5320955580401d5a5b2ae8b507e8f0b47e08118,Deep Supervision with Intermediate Concepts,"Deep Supervision with Intermediate Concepts Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, and Manmohan Chandraker" -e5c4b75cb79aa5155ffd9498b3fcc790eb794e72,Object Recognition using Discriminative Robust Local Binary Pattern,"WWW.IJITECH.ORG -ISSN 2321-8665 -Vol.03,Issue.05, -July-2015, -Pages:0700-0706 -Object Recognition using Discriminative Robust Local Binary Pattern -T. LAVANYA -, A. SUJATHA -PG Scholar, Dept of DE & CS, Dr.K.V.Subba Reddy Engineering College for Women, AP, India, -Associate Professor, Dept of DE & CS, Dr.K.V.Subba Reddy Engineering College for Women, AP, India, -E-mail: -E-mail:" e58f08ad6e0edd567f217ef08de1701a8c29fcc8,Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back,"Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing—and Back Elliot Meyerson 1 2 Risto Miikkulainen 1 2" @@ -1474,12 +1264,6 @@ AJE= ==Fœ EJ=L JAA I =H?FAI 6 =LAAJfi 5=JHO BH=JE= 2D, D=C=J -6- 66 1BH?EI 6=I " -e545f1c06799bfd2bd5f7eaed085fd60a388202f,A top-down manner-based DCNN architecture for semantic image segmentation,"RESEARCH ARTICLE -A top-down manner-based DCNN -rchitecture for semantic image -segmentation -Kai Qiao, Jian Chen, Linyuan Wang, Lei Zeng, Bin Yan* -National Digital Switching System Engineering and Technological Research Centre, Zhengzhou, China" e525ba29497bab9b530ea7b056dd0128be22c48a,Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning.,"Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning @@ -1503,21 +1287,6 @@ Radu Timofte ETH Zurich, Merantix Luc Van Gool ETH Zurich, KU Leuven" -e510f2412999399149d8635a83eca89c338a99a1,Face Recognition using Block-Based DCT Feature Extraction,"Journal of Advanced Computer Science and Technology, 1 (4) (2012) 266-283 -(cid:13)Science Publishing Corporation -www.sciencepubco.com/index.php/JACST -Face Recognition using Block-Based -DCT Feature Extraction -K Manikantan1, Vaishnavi Govindarajan1, -V V S Sasi Kiran1, S Ramachandran2 -Department of Electronics and Communication Engineering, -M S Ramaiah Institute of Technology, Bangalore, Karnataka, India 560054 -E-mail: -E-mail: -E-mail: -Department of Electronics and Communication Engineering, -S J B Institute of Technology, Bangalore, Karnataka, India 560060 -E-mail:" e56c4c41bfa5ec2d86c7c9dd631a9a69cdc05e69,Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art,"Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art @@ -1525,15 +1294,6 @@ Artur Jord˜ao, Antonio C. Nazare Jr., Jessica Sena and William Robson Schwartz Smart Surveillance Interest Group, Computer Science Department Universidade Federal de Minas Gerais, Brazil Email: {arturjordao, antonio.nazare, jessicasena," -e5346a581ade62e1ac4b272d26d340fe78b58faa,Weakly Supervised Semantic Segmentation Using Web-Crawled Videos,"Weakly Supervised Semantic Segmentation using Web-Crawled Videos -Seunghoon Hong† Donghun Yeo† Suha Kwak‡ Honglak Lee§ Bohyung Han† -POSTECH -Pohang, Korea -{maga33, hanulbog, -DGIST -Daegu, Korea -§University of Michigan -Ann Arbor, MI, USA" e564268a03b21fa092390db0c11ba1c33d2323f9,Multi-view Stereo with Single-View Semantic Mesh Refinement,"Multi-View Stereo with Single-View Semantic Mesh Refinement Andrea Romanoni Marco Ciccone Francesco Visin Matteo Matteucci @@ -1634,26 +1394,6 @@ Julien Meynet · Vlad Popovici · Jean-Philippe Thiran Received: 12 October 2006 / Revised: 12 January 2007 / Accepted: 12 January 2007 / Published online: 3 March 2007 © Springer-Verlag London Limited 2007" -a48c71153265d6da7fbc4b16327320a5cbfa6cba,Unite the People : Closing the loop between 3 D and 2 D Human Representations Supplementary Material,"Unite the People: Closing the loop between 3D and 2D Human Representations -Supplementary Material -Christoph Lassner1,2 -Javier Romero2 -Martin Kiefel2 -Federica Bogo2,3 -Michael J. Black2 -Peter V. Gehler1,2 -Bernstein Center for Comp. Neuroscience1 -Max-Planck Institute for Intelligent Systems2 -Microsoft3 -Otfried-M¨uller-Str. 25, T¨ubingen -Spemannstr. 41, T¨ubingen -1 Station Rd., Cambridge -. Introduction -We have obtained human segmentation labels to inte- -grate shape information into the SMPLify 3D fitting pro- -edure and for the evaluation of methods introduced in the -main paper. The labels consist of foreground segmentation -for multiple human pose datasets and six body part segmen-" a4f345a8a7b3d5933282cb7fa641b2957ca89113,Comparison of focus measures in face detection environments,"+2)415 . .+75 -)574-5 1 .)+- ,-6-+61 -814-65  HA  ,AE  +=IJHE + /KAHH= @@ -1819,18 +1559,6 @@ a4ce0f8cfa7d9aa343cb30b0792bb379e20ef41b,Facial Landmark Machines: A Backbone-Br Architecture with Progressive Representation Learning Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang and Liang Lin" -a41581276c5d6206ce79c1c7b319556de0d15234,Couch potato or gym addict ? Semantic lifestyle profiling with wearables and fuzzy knowledge graphs,"Couch potato or gym addict? Semantic lifestyle -profiling with wearables and fuzzy knowledge graphs -Natalia Díaz-Rodríguez∗ -U2IS, ENSTA ParisTech, France -Aki Härmä and Rim Helaoui -Philips Research, Eindhoven, Netherlands -{aki.harma, -Ignacio Huitzil and Fernando Bobillo -I3A, University of Zaragoza, Spain -{ihuitzil, -Umberto Straccia -ISTI-CNR, Pisa, Italy" a45450824c6e8e6b42fd9bbf52871104b6c6ce8b,Optimizing the Latent Space of Generative Networks,"Optimizing the Latent Space of Generative Networks Piotr Bojanowski, Armand Joulin, David Lopez-Paz, Arthur Szlam {bojanowski, ajoulin, dlp, @@ -1884,15 +1612,6 @@ The Netherlands P.O. Box 513 5600 MB Eindhoven The Netherlands" -a4bfe4ac91b295ced04f06d3b8f986b0dc5172c0,A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS,"A S RAJA AND V JOSEPH RAJ: A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT USING NEURAL NETWORK BASED SELF ORGANIZING MAPS -DOI: 10.21917/ijivp.2012.0064 -A NEW RECOGNITION TECHNIQUE NAMED SOMP BASED ON PALMPRINT -USING NEURAL NETWORK BASED SELF ORGANIZING MAPS -A. S. Raja1 and V. Joseph Raj2 -Sathyabama University, India -E-mail: -Department of Computer Science, Kamaraj College, India -E-mail:" a481de6e9a7303784a7492ede7a7f055be7bc831,Egocentric Audio-Visual Scene Analysis. A Machine Learning and Signal Processing Approach. (Analyse Égocentrique de Scènes Audio-Visuelles. Une approche par Apprentissage Automatique et Traitement du Signal),"Egocentric Audio-Visual Scene Analysis : a machine learning and signal processing approach Xavier Alameda-Pineda @@ -1933,32 +1652,6 @@ Anonymous CVPR submission Paper ID 1387" bc995457cf5f4b2b5ef62106856571588d7d70f2,Comparison of Maximum Likelihood and GAN-based training of Real NVPs,"Comparison of Maximum Likelihood and GAN-based training of Real NVPs Ivo Danihelka 1 2 Balaji Lakshminarayanan 1 Benigno Uria 1 Daan Wierstra 1 Peter Dayan 3" -bc047bdf33c12682837fb0b2aa1ebdae99329968,The Development of an Interaction Support System for International Distance Education,"The Development of an Interaction -Support System for International -Distance Education -Hsiu-Ping Yueh, Member, IEEE, -Weijane Lin, Member, IEEE, Yi-Lin Liu, -Tetsuo Shoji, and Michihiko Minoh, Member, IEEE" -bcf19b964e7d1134d00332cf1acf1ee6184aff00,Trajectory-Set Feature for Action Recognition,"IEICE TRANS. INF. & SYST., VOL.E100–D, NO.8 AUGUST 2017 -LETTER -Trajectory-Set Feature for Action Recognition -Kenji MATSUI†, Nonmember, Toru TAMAKI†a), Member, Bisser RAYTCHEV†, Nonmember, -nd Kazufumi KANEDA†, Member -SUMMARY We propose a feature for action recognition called -Trajectory-Set (TS), on top of the improved Dense Trajectory (iDT). -The TS feature encodes only trajectories around densely sampled inter- -est points, without any appearance features. Experimental results on the -UCF50 action dataset demonstrates that TS is comparable to state-of-the- -rts, and outperforms iDT; the accuracy of 95.0%, compared to 91.7% by -key words: action recognition, trajectory, improved Dense Trajectory -the two-stream CNN [2] that uses a single frame and a opti- -al flow stack. In their paper stacking trajectories was also -reported but did not perform well, probably the sparseness -of trajectories does not fit to CNN architectures. In contrast, -we take a hand-crafted approach that can be fused later with -CNN outputs. -Introduction -Action recognition has been well studied in the computer" bcaa5fab589d95890d539a3119657fa253176f0d,"THE PROBLEM : MID-RANGE FR AT NIGHT No Active Illumination Night Time 120 meters Evaluating the Efficiency of a Night-Time , Middle-Range Infrared Sensor for Applications in Human Detection and Recognition","THE PROBLEM: MID-RANGE FR AT NIGHT No Active Illumination NIR Led Illuminator @@ -2063,13 +1756,6 @@ Categorisation. In Proceedings International Conference on Biometrics This is the author-manuscript version of this work - accessed from http://eprints.qut.edu.au Copyright 2007 Springer" -bc6de183cd8b2baeebafeefcf40be88468b04b74,Age Group Recognition using Human Facial Images,"Age Group Recognition using Human Facial Images -International Journal of Computer Applications (0975 – 8887) -Volume 126 – No.13, September 2015 -Shailesh S. Kulkarni -Dept. of Electronics and Telecommunication -Government College of Engineering, -Aurangabad, Maharashtra, India" bc15e0ebe7ff84e090aa2d74d753d87906d497f7,The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments,"The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments @@ -2096,16 +1782,6 @@ Caegie e Uiveiy ib gh A 15213 ib gh A 15260 ib gh A 15213" -bc9c4b5379469a03415b5b35f8b627b2fbdbe967,Face Illumination Processing Using Wavelet Transform and Gradientfaces,"016 Joint International Conference on Artificial Intelligence and Computer Engineering (AICE 2016) and -International Conference on Network and Communication Security (NCS 2016) -ISBN: 978-1-60595-362-5 -Face Illumination Processing Using Wavelet -Transform and Gradientfaces -Xue HE1,a, Zhi-jun YANG1,b, Xiang-fei NIE1,c,* -College of Electronic and Information Engineering, -Chongqing Three Gorges University, Chongqing, China -*Corresponding author -Keywords: Face Illumination Processing, Wavelet Transform, Gradientfaces, Face Recognition." bc8bd3f5653165809af3d4525f266219add4d132,Symbolic principal component for interval-valued observations, bc40057335e589c30e0b6c7b71685ef0433b5af5,"Recounting ( MER ) , Surveillance Event Detection ( SED ) , and Semantic Indexing ( SIN ) Systems","IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic @@ -2140,26 +1816,6 @@ Department of Electrical Engineering, Universidad de Chile" 8a866bc0d925dfd8bb10769b8b87d7d0ff01774d,WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art,"WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art Saif M. Mohammad and Svetlana Kiritchenko National Research Council Canada" -8a92d17cff2096336796232e4e42bb11c590629d,Color Face Recognition Based on Curvelet Transform Ayşegül UÇAR,"Color Face Recognition Based on Curvelet Transform -Department Mechatronics Engineering, University Firat, Elazığ, Turkey, e-mail: -Ayşegül UÇAR -denoising, -ompression and texture classification [4, 7-9]. -image enhancement, -image -fusion, -image -for color -Color information provides useful information in image -processing applications. Some recent researches have been -shown that face color information has considerably enhanced -the performance with respect to gray-scale face recognition -[10-12]. In [10], it was interrogated what kind of color space is -suitable -recognition and presented a -discriminant color space method. In [11], it was applied the -Principal Component Analysis (PCA) at various color spaces -such as HSV, RGB, YCbCr, YCgCr, and YUV and analyzed" 8a12ee3c98b76d99531d5965f15bb77a10ec2569,Holistic Face Recognition through Multivariate Analysis and Genetic Algorithms,"Holistic Face Recognition through Multivariate Analysis and Genetic Algorithms" 8acb55a72c4d6eae528a99e571b4a24d51f57fe6,Toward Crowd-Sensitive Path Planning,"Toward Crowd-Sensitive Path Planning @@ -2170,9 +1826,6 @@ New York, NY 10065" Benjamin Eysenbach Carl Vondrick Antonio Torralba" -8a0538eb80b5d41c0e5991aceeef47db01603033,Proposal Flow: Semantic Correspondences from Object Proposals,"Proposal Flow: Semantic Correspondences from -Object Proposals -Bumsub Ham, Member, IEEE, Minsu Cho, Cordelia Schmid, Fellow, IEEE and Jean Ponce, Fellow, IEEE" 8a02a0517b841b53fba478a851948b86869a0582,Fast Neural Networks with Circulant Projections,"Fast Neural Networks with Circulant Projections Yu Cheng∗, Felix X. Yu∗, Rogerio S. Feris, Sanjiv Kumar, Alok Choudhary, Shih-Fu Chang" @@ -2229,12 +1882,6 @@ State Key Lab. of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology (TNList) Department of Computer Science and Technology, Tsinghua University 2Intel Labs China {anbang.yao," -8a2ed61448d9e41295753f5bd0a662ac28373e6f,Domain-Specific Face Synthesis for Video Face Recognition From a Single Sample Per Person,"Domain-Specific Face Synthesis for Video Face -Recognition From a Single Sample Per Person -Fania Mokhayeri -, Student Member, IEEE, Eric Granger -, Member, IEEE, -nd Guillaume-Alexandre Bilodeau , Member, IEEE" 8aae23847e1beb4a6d51881750ce36822ca7ed0b,Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron,"Comparison Between Geometry-Based and Gabor-Wavelets-Based Facial Expression Recognition Using Multi-Layer Perceptron Zhengyou Zhang @@ -2252,9 +1899,6 @@ MTA SZTAKI, Institute for Computer Science and Control {varga.domonkos, Budapest University of Technology and Economics, Department of Networked Systems and Services Budapest University of Technology and Economics, Department of Material Handling and Logistics Systems" -8a91ad8c46ca8f4310a442d99b98c80fb8f7625f,2D Segmentation Using a Robust Active Shape Model With the EM Algorithm,"D Segmentation Using a Robust Active -Shape Model With the EM Algorithm -Carlos Santiago, Jacinto C. Nascimento, Member, IEEE, and Jorge S. Marques" 8a91cb96dd520ba3e1f883aa6d57d4d716c5d1c8,Low Cost Eye Tracking: The Current Panorama,"Hindawi Publishing Corporation Computational Intelligence and Neuroscience Volume 2016, Article ID 8680541, 14 pages @@ -2275,15 +1919,6 @@ tracking constitutes an interesting alternative by allowing scalability and remo field has seen examples of research showing performance comparable to the IR alternatives. In this work, we survey the previous work on remote, visible light gaze trackers and analyze the explored techniques from various perspectives such as calibration strategies, head pose invariance, and gaze estimation techniques. We also provide information on related aspects of research such" -8a77025bde5479a1366bb93c6f2366b5a6293720,Sharp Attention Network via Adaptive Sampling for Person Re-identification,"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. XX, NO. XX, XX 2018 -Sharp Attention Network via Adaptive Sampling -for Person Re-identification -Chen Shen, Guo-Jun Qi, Member, IEEE, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen, -nd Xian-Sheng Hua, Fellow, IEEE" -8ab183883acba0501c3315a914aee755b5e517d8,Synthesis-based Robust Low Resolution Face Recognition,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. X, NO. X, MONTH 20XX -Synthesis-based Robust Low Resolution Face -Recognition -Sumit Shekhar, Student Member, IEEE, Vishal M. Patel, Member, IEEE, and Rama Chellappa, Fellow, IEEE" 8ab16c26678245ef009cbbf87d750cfd18e21572,A Wearable Ultrasonic Obstacle Sensor for Aiding Visually Impaired and Blind Individuals,"A Wearable Ultrasonic Obstacle Sensor for Aiding Visually Impaired and Blind Individuals {tag} {/tag} IJCA Proceedings on National Conference on @@ -2385,11 +2020,6 @@ January 2006 Thème COG p p o r t (cid:13) (cid:13) d e r e c h e r c h e (cid:13)" -8a2bd5dbcf0ab0130dfb97e2a035e5722aa9319e,NLP EAC Recognition by Component Separation in the Eye Region,"NLP EAC Recognition by Component -Separation in the Eye Region -Ruxandra Vrˆanceanu, Corneliu Florea, Laura Florea and Constantin Vertan -The Image Processing and Analysis Laboratory (LAPI), Politehnica University of -Bucharest, Romania" 8a158fb9380a6666b922bc7a00121b6bf4a5ab0b,UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep Image Sampling,"UnDEMoN 2.0: Improved Depth and Ego Motion Estimation through Deep Image Sampling Madhu Babu V, Swagat Kumar, Anima Majumder and Kaushik Das @@ -2526,10 +2156,6 @@ the primary visual cortex of higher mammals and the resulting features are fed i network for the recognition task. Next, we damage the network by reducing self-connections below a certain threshold in order to create dynamic attractors and hence hinder the networks ability to recognize familiar faces (faces already learned). Results obtained from simulations show that the resulting network responses are very similar to those of" -6d66c98009018ac1512047e6bdfb525c35683b16,Face Recognition Based on Fitting a 3D Morphable Model,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 9, SEPTEMBER 2003 -Face Recognition Based on -Fitting a 3D Morphable Model -Volker Blanz and Thomas Vetter, Member, IEEE" 6db59b031406546682a773baed2caed529aaf37c,Inferring the semantics of direction signs in public places,"Inferring the Semantics of Direction Signs in Public Places J´erˆome Maye∗, Luciano Spinello∗†, Rudolph Triebel∗, and Roland Siegwart∗ Autonomous Systems Lab, ETH Zurich, Switzerland @@ -2615,18 +2241,6 @@ pspb.sagepub.com" 6d8057ce549db311b7ddaeed8dfd934b58c1c281,A RELIEF Based Feature Extraction Algorithm,"A RELIEF Based Feature Extraction Algorithm Yijun Sun∗ Dapeng Wu†" -6d5b0f6e5258d370f9af8a2cebf035fe61905db1,Gazefinder as a clinical supplementary tool for discriminating between autism spectrum disorder and typical development in male adolescents and adults,"Fujioka et al. Molecular Autism (2016) 7:19 -DOI 10.1186/s13229-016-0083-y -Open Access -R ES EAR CH -Gazefinder as a clinical supplementary tool -for discriminating between autism -spectrum disorder and typical development -in male adolescents and adults -Toru Fujioka1,2,3, Keisuke Inohara1,4, Yuko Okamoto2,3, Yasuhiro Masuya1, Makoto Ishitobi1,5, Daisuke N. Saito2,3,6, -Minyoung Jung2,3, Sumiyoshi Arai2,3, Yukiko Matsumura1, Takashi X. Fujisawa2,3, Kosuke Narita7, Katsuaki Suzuki3,8,9, -Kenji J. Tsuchiya3,8,9, Norio Mori3,8,9, Taiichi Katayama3, Makoto Sato2,3,10,11, Toshio Munesue3,12, -Hidehiko Okazawa2,3,6, Akemi Tomoda2,3, Yuji Wada1,2,3 and Hirotaka Kosaka1,2,3*" 6dd007b6e518a3aa96111028c4664f2647e5e81a,3D Face Synthesis Driven by Personality Impression,"D Face Synthesis Driven by Personality Impression Yining Lang1 Wei Liang1 Yujia Wang1 Lap-Fai Yu2 Beijing Institute of Technology @@ -2644,17 +2258,6 @@ Serena Li†, Gao Huang†, Bharath Hariharan†, Kilian Q. Weinberger†" 6d88fb85fe5c61bd65e0a373cd39fac81a19596a,DC-Image for Real Time Compressed Video Matching,"DC-Image for Real Time Compressed Video Matching Saddam Bekhet, Amr Ahmed and Andrew Hunter" -6d4b5444c45880517213a2fdcdb6f17064b3fa91,Harvesting Image Databases from The Web,"Journal of Information Engineering and Applications -ISSN 2224-5782 (print) ISSN 2225-0506 (online) -Vol 2, No.3, 2012 -www.iiste.org -Harvesting Image Databases from The Web -Snehal M. Gaikwad -G.H.Raisoni College of Engg. & Mgmt.,Pune,India -Snehal S. Pathare -G.H.Raisoni College of Engg. & Mgmt.,Pune,India -Trupti A. Jachak -G.H.Raisoni College of Engg. & Mgmt.,Pune,India" 6d7dabc58f53c0233d6d593a8fee76d1c7f44033,Robust Observation Detection for Single Object Tracking: Deterministic and Probabilistic Patch-Based Approaches,"Sensors 2012, 12, 15638-15670; doi:10.3390/s121115638 OPEN ACCESS sensors @@ -2739,10 +2342,6 @@ Gabriel Baglietto1,2*, Guido Gigante3,4, Paolo Del Giudice1,3 INFN-Roma1, Italian National Institute for Nuclear Research (INFN), Rome, Italy, 2 IFLYSIB Instituto de Fı´sica de Lı´quidos y Sistemas Biolo´gicos (UNLP-CONICET), La Plata, Argentina, 3 Italian Institute of Health (ISS), Rome, Italy, 4 Mperience srl, Rome, Italy" -6dddf1440617bf7acda40d4d75c7fb4bf9517dbb,"Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking","JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. X, MM YY -Beyond Counting: Comparisons of Density Maps for Crowd -Analysis Tasks - Counting, Detection, and Tracking -Di Kang, Zheng Ma, Member, IEEE, Antoni B. Chan Senior Member, IEEE," 6d84d92d9ed6c226f0cc6401bc425a23432c9f96,Autism spectrum disorders: clinical and research frontiers.,"Downloaded from dc.bmj.com on 22 May 2008 @@ -2763,15 +2362,6 @@ You can respond to this article at: http://adc.bmj.com/cgi/eletter-submit/93/6/518 Email alerting service" -6d071848a3fd4e6c3184db0a68a41559ec9a47c8,An approach to Enhance Automatic Diagnosis of Diabetic Retinopathy and Classification by Hybrid Multilayer Feed forward Neural Networks by Genetic Algorithm,"International Journal of Science, Engineering and Technology Research (IJSETR), Volume 4, Issue 4, April 2015 -An approach to Enhance Automatic Diagnosis of -Diabetic Retinopathy and Classification by Hybrid -Multilayer Feed forward Neural Networks by -Genetic Algorithm -Rupa V. Lichode -M. Tech ( Computer Science and Engineering ) -Department of Computer Technology -R.C.E.R.T. Chandrapur, Maharastra, India" 6d432962055a8c521e6b388d5a0a2140a0019a5e,Sensor network reconfiguration and big multimedia data fusion for situational awareness in smart environments,"Sensor network reconfiguration and big multimedia data fusion for situational wareness in smart environments Z. Akhtar, C. Drioli, M. Farinosi, G. Ferrin, G.L. Foresti, N. Martinel, C. Micheloni, C. Piciarelli, D. @@ -2798,21 +2388,9 @@ Vishnu Naresh Boddeti†, Myung-Cheol Roh†, Jongju Shin, Takaharu Oguri, Takeo 6dead19a89cbcbb71350a19925cb2c6f71261dfc,Fair k-Center Clustering for Data Summarization,"Fair k-Center Clustering for Data Summarization Matth¨aus Kleindessner 1 Pranjal Awasthi 1 Jamie Morgenstern 2" 6d10beb027fd7213dd4bccf2427e223662e20b7d,User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies,"Publishing CorporationJournal of Electrical and Computer EngineeringVolume 2016, Article ID 4789803, 20 pageshttp://dx.doi.org/10.1155/2016/4789803" -6d973fb5f682c491be94aa40a184a1707a8dc24a,Combining Multiple Image Segmentations by Maximizing Expert Agreement,"Combining Multiple Image Segmentations by -Maximizing Expert Agreement -Joni-Kristian Kamarainen, Lasse Lensu, and Tomi Kauppi -Machine Vision and Pattern Recognition Laboratory -Department of Information Technology -Lappeenranta University of Technology -P.O. Box 20, FI-53851 Lappeenranta, Finland -http://www2.it.lut.fi/mvpr/" 6d77b214a39b8592cd6ce48c9945e8a2466b22ba,Videana: A Software Toolkit for Scientific Film Studies,"Ralph Ewerth, Markus Mühling, Thilo Stadelmann, Julinda Gllavata, Manfred Grauer, Bernd Freisleben Videana: A Software Toolkit for Scientific Film Studies" -6dd0597f8513dc100cd0bc1b493768cde45098a9,Learning to parse images of articulated bodies,"Learning to parse images of articulated bodies -Deva Ramanan -Toyota Technological Institute at Chicago -Chicago, IL 60637" 309e17e6223e13b1f76b5b0eaa123b96ef22f51b,Face recognition based on a 3D morphable model,"Face Recognition based on a 3D Morphable Model Volker Blanz University of Siegen @@ -2874,9 +2452,6 @@ Montréal, Canada Christopher Pal École Polytechnique de Montréal, Canada" -30c96cc041bafa4f480b7b1eb5c45999701fe066,Discrete Cosine Transform Locality-Sensitive Hashes for Face Retrieval,"Discrete Cosine Transform Locality-Sensitive -Hashes for Face Retrieval -Mehran Kafai, Member, IEEE, Kave Eshghi, and Bir Bhanu, Fellow, IEEE" 30f78071ac2bc965ffbf452a7b315d6dfddae30e,Lingusitic Analysis of Multi-Modal Recurrent Neural Networks,"Proceedings of the 2015 Workshop on Vision and Language (VL’15), pages 8–9, Lisbon, Portugal, 18 September 2015. c(cid:13)2015 Association for Computational Linguistics." 30ad88ca5b834ca78619f3938b5f8ee534fd3ea8,Random Forest with Learned Representations for Semantic Segmentation,"Random Forest with Learned Representations @@ -2952,23 +2527,6 @@ Zhijun Chen Tao Zhang Bo Zhang Kong-kat Wong {wanshaohua, chenzhijun, tao.zhang, zhangbo, Xiaomi Inc. August 9, 2016" -302c2293e36e0704ccfe9af759a8505df588eb07,Face recognition with Multilevel B-Splines and Support Vector Machines,"Face Recognition with Multilevel B-Splines and Support -Vector Machines -Manuele Bicego -Dipartimento di Informatica -University of Verona -Strada Le Grazie 15 -7134 Verona - Italia -Gianluca Iacono -Dipartimento di Informatica -University of Verona -Strada Le Grazie 15 -7134 Verona - Italia -Vittorio Murino -Dipartimento di Informatica -University of Verona -Strada Le Grazie 15 -7134 Verona - Italia" 30962cf6f47396df88bf1c8827ebda8f0a6ff516,A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery,"Article A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations @@ -3026,11 +2584,6 @@ Items deposited in White Rose Research Online are protected by copyright, with a indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record" -306957285fea4ce11a14641c3497d01b46095989,Face recognition under varying lighting based on derivates of log image,"FACE RECOGNITION UNDER VARYING LIGHTING BASED ON -DERIVATES OF LOG IMAGE -Laiyun Qing1,2, Shiguang Shan2, Wen Gao1,2 -ICT-ISVISION Joint R&D Laboratory for Face Recognition, CAS, Beijing 100080, China -Graduate School, CAS, Beijing, 100039, China" 30a319d6e1472c81a1987133afb01f524df459dc,Pedestrian Detection Based on Adaptive Selection of Visible Light or Far-Infrared Light Camera Image by Fuzzy Inference System and Convolutional Neural Network-Based Verification,"Article Pedestrian Detection Based on Adaptive Selection of Visible Light or Far-Infrared Light Camera Image by @@ -3041,17 +2594,6 @@ Division of Electronics and Electrical Engineering, Dongguk University, 30 Pildo Seoul 100-715, Korea; (J.K.K.); (H.G.H.) * Correspondence: Tel.: +82-10-3111-7022; Fax: +82-2-2277-8735 Received: 16 June 2017; Accepted: 5 July 2017; Published: 8 July 2017" -30f7609d111bb3bc006e3dd38678291528aa14d3,A new approach for extracting and summarizing abnormal activities in surveillance videos,"014 IEEE International -Conference on Multimedia and -Expo Workshops -(ICMEW 2014) -Chengdu, China -4-18 July 2014 -Pages 516-1030 -IEEE Catalog Number: -ISBN: -CFP14IEW-POD -978-1-4799-4716-4" 30256c10cb7ec139b4245855850998c39b297975,Functional magnetic resonance imaging of autism spectrum disorders,"C l i n i c a l r e s e a r c h Functional magnetic resonance imaging of utism spectrum disorders @@ -3079,17 +2621,8 @@ Ricardo TOLEDO b Artificial Intelligence Research Institute (IIIA-CSIC), Campus UAB, 08193 Bellaterra, Computer Vision Center (CVC), Campus UAB, 08193 Bellaterra, Spain Spain" -30b32f4a6341b5809428df1271bdb707f2418362,A Sequential Neural Encoder With Latent Structured Description for Modeling Sentences,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 -A Sequential Neural Encoder with Latent Structured -Description for Modeling Sentences -Yu-Ping Ruan, Qian Chen, and Zhen-Hua Ling, Member, IEEE" 30870ef75aa57e41f54310283c0057451c8c822b,Overcoming catastrophic forgetting with hard attention to the task,"Overcoming Catastrophic Forgetting with Hard Attention to the Task Joan Serr`a 1 D´ıdac Sur´ıs 1 2 Marius Miron 1 3 Alexandros Karatzoglou 1" -3005a4afddab849d9070788ac0e4e95e0fff2216,"Transfer Metric Learning: Algorithms, Applications and Outlooks","JOURNAL OF LATEX CLASS FILES, VOL. XX, NO. X, XXXX XXXX -Transfer Metric Learning: Algorithms, -Applications and Outlooks -Yong Luo, Yonggang Wen, Senior Member, IEEE, Ling-Yu Duan, Member, IEEE, -nd Dacheng Tao, Fellow, IEEE" 3099615de73bb1d6442ce29dc9959ddb91cfc282,Detecting and Tracking Sports Players with Random Forests and Context-Conditioned Motion Models,"Detecting and Tracking Sports Players with Random Forests and Context-Conditioned Motion Models @@ -3121,15 +2654,6 @@ Vallabh Vidyanagar-388120, Gujarat, India." 30c8a2b6a505645b9f93dcc4d365eee6f46c4c37,Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object,"Using Curvilinear Features in Focus for Registering Single Image to a 3D Object Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, G´eraldine Morin and Vincent Charvillat" -30b15cdb72760f20f80e04157b57be9029d8a1ab,Face Aging with Identity-Preserved Conditional Generative Adversarial Networks,"Face Aging with Identity-Preserved -Conditional Generative Adversarial Networks -Zongwei Wang -Shanghaitech University -Xu Tang -Baidu -Weixin Luo, Shenghua Gao∗ -Shanghaitech University -{luowx," 307a810d1bf6f747b1bd697a8a642afbd649613d,An affordable contactless security system access for restricted area,"An affordable contactless security system access for restricted area Pierre Bonazza1, Johel Mitéran1, Barthélémy Heyrman1, Dominique Ginhac1, @@ -3159,16 +2683,6 @@ Chen Sun Univ. of Southern California Ram Nevatia Univ. of Southern California" -30aff559ad25dd3490712749793547bc89b0f103,Image Latent Semantic Analysis for Face Recognition,"Image Latent Semantic Analysis for Face Recognition -Jucheng Yang 1,2,3 , Yanbin Jiao2, Jinfeng Yang4,Zhijun Fang2 , Congcong Xiong1, -Lei Shu2 -College of Computer Science and Information Engineering, Tianjin University of Science -nd Technology, Tianjin, China. -School of Information Technology, Jiangxi University of Finance and Economics, -Nanchang, China. {ybjiao, zjfang, lshu -Ahead Software Company Limited, Nanchang, 330041, China -Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, -Tianjin, China" 308647f22e3f1c80b7416b3c53fd56f9abfa904f,Robust Real-Time Tracking with Diverse Ensembles and Random Projections,"Robust Real-Time Tracking with Diverse Ensembles and Random Projections Center for Informatics Science, Center for Informatics Science, @@ -3259,24 +2773,11 @@ ooperation in a sequential Prisoner’s Dilemma game Raoul Bell*, Laura Mieth, Axel Buchner Department of Experimental Psychology, Heinrich Heine University Du¨sseldorf, Du¨sseldorf, Germany" -3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c,A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training,"A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss -Dynamic Training -Feng Zheng, Xing Sun, Xinyang Jiang, Xiaowei Guo, Zongqiao Yu, Feiyue Huang -{winfredsun, sevjiang, scorpioguo, quentinyu, -YouTu Lab, Tencent -Shanghai, China" -3bfa75238e15e869b902ceb62b31ffddbe8ccb0d,Describing Images using Inferred Visual Dependency Representations,"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics -nd the 7th International Joint Conference on Natural Language Processing, pages 42–52, -Beijing, China, July 26-31, 2015. c(cid:13)2015 Association for Computational Linguistics" 3b4177556f1c9f5a8f8e1b2e8d824dee20e388e4,Spatial Weighting for Bag-of-Features,"Spatial Weighting for Bag-of-Features Marcin Marsza(cid:7)ek Cordelia Schmid INRIA Rh(cid:136)one-Alpes, LEAR - GRAVIR 665 av de l’Europe, 38330 Montbonnot, France" -3ba8f8b6bfb36465018430ffaef10d2caf3cfa7e,Local Directional Number Pattern for Face Analysis: Face and Expression Recognition,"Local Directional Number Pattern for Face -Analysis: Face and Expression Recognition -Adin Ramirez Rivera, Student Member, IEEE, Jorge Rojas Castillo, Student Member, IEEE, -nd Oksam Chae, Member, IEEE" 3b08ef7aa0cf9528da42b2b594b66e4a6f7fdb7f,Active Learning for Delineation of Curvilinear Structures,"Active Learning for Delineation of Curvilinear Structures Agata Mosinska Raphael Sznitman @@ -3305,14 +2806,6 @@ information about you. In many nonhuman species, direct gaze functions as an aversive stimulus, likely ecause of the threat value associated with eye con-" 3bc776eb1f4e2776f98189e17f0d5a78bb755ef4,View Synthesis from Image and Video for Object Recognition Applications, -3b570499c39cfdadc306039e58ef460f139f59d0,Part-based Visual Tracking via Structural Support Correlation Filter,"Part-based Visual Tracking via Structural Support -Zhangjian Jia,b,c, Kai Fenga,b, Yuhua Qiana,b,c -School of Computer & Information Technology, Shanxi University, Taiyuan, China -Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry -of Education, Shanxi University, Taiyuan, China -Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China" -3bbdfa097a4c39012cb322b23051e360c2f7f023,Learning Race from Face: A Survey,"Learning Race from Face: A Survey -Siyao Fu, Member, IEEE, Haibo He, Senior Member, IEEE, and Zeng-Guang Hou, Senior Member, IEEE" 3b14bdb0b1a7353d94973ef4c1578e1bd4a4e35e,Three dimensional binary edge feature representation for pain expression analysis,"Three Dimensional Binary Edge Feature Representation for Pain Expression Analysis @@ -3333,9 +2826,6 @@ Phone: +65 6408 2071; Fax: +65 6776 1378; E-mail:" 3b8ad690f8d43d189ea2f2559c41b6eebac8dcc8,Mobile 3D object detection in clutter,"Mobile 3D Object Detection in Clutter David Meger and James J. Little" -3b2df7d70ecbe3d0d65d27801d159ddaa150bf42,Doubly Sparse Relevance Vector Machine for Continuous Facial Behavior Estimation,"Doubly Sparse Relevance Vector Machine for -Continuous Facial Behavior Estimation -Sebastian Kaltwang, Sinisa Todorovic, Member, IEEE and Maja Pantic, Fellow, IEEE" 3b8ad1f2335fc755e5cd75ee5922b8a0d432018a,A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network,"A Fast and Compact Saliency Score Regression Network Based on Fully Convolutional Network Xuanyang Xi, Yongkang Luo, Fengfu Li, Peng Wang and Hong Qiao" @@ -3374,14 +2864,6 @@ Olga Russakovsky* · Jia Deng* · Hao Su · Jonathan Krause · Sanjeev Satheesh · Sean Ma · Zhiheng Huang · Andrej Karpathy · Aditya Khosla · Michael Bernstein · Alexander C. Berg · Li Fei-Fei Received: date / Accepted: date" -3bcca85ad84806be6d38d3882f7a6aac0ad90253,Video captioning with recurrent networks based on frame- and video-level features and visual content classification,"A pre-workshop version of a paper set to be presented in the ICCV 2015 Large Scale Movie Description Challenge workshop -Video captioning with recurrent networks based on -frame- and video-level features and visual content classification -Rakshith Shetty and Jorma Laaksonen -Department of Computer Science -Aalto University School of Science -P.O.BOX 15400, FI-00076 AALTO -Espoo, Finland" 3b1ba9818e2ee6a54e7ec033c5b2ec8bdbe2935f,Social Signaling Descriptor for Group Behaviour Analysis,"Social Signaling Descriptor for Group Behaviour Analysis Eduardo M. Pereira1,2(B), Lucian Ciobanu1, and Jaime S. Cardoso1,2 @@ -3405,9 +2887,6 @@ Zhongxian Chen Dept. Computer Science Thomas Zimmie Dept. Civil Engineering" -3b47e618c5ceb1c16db7f709dd1cfe53d7417b54,Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers,"Discrimination on the Grassmann Manifold: -Fundamental Limits of Subspace Classifiers -Matthew Nokleby, Member, IEEE, Miguel Rodrigues, Member, IEEE, and Robert Calderbank, Fellow," 3b9d94752f8488106b2c007e11c193f35d941e92,"Appearance , Visual and Social Ensembles for Face Recognition in Personal Photo Collections","#2052 CVPR 2013 Submission #2052. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE. #2052 @@ -3435,13 +2914,6 @@ teaching and research institutions in France or broad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents" -3b374fd726c8cd2c79c1092d76e3583265866362,Superpixel Convolutional Networks using Bilateral Inceptions,"Superpixel Convolutional Networks using -Bilateral Inceptions -Raghudeep Gadde1(cid:63), Varun Jampani2(cid:63), Martin Kiefel2,3, Daniel Kappler2, and -Peter V. Gehler2,3 -Universit´e Paris-Est, LIGM (UMR 8049), CNRS, ENPC, ESIEE, UPEM, France -Max Planck Institute for Intelligent Systems, T¨ubingen, Germany -Bernstein Center for Computational Neuroscience, T¨ubingen, Germany" 3bb80697a28b9876e668de2228003dbbdcb84a25,Face Recognition with semi-supervised learning and Multiple Classifiers,"Face Recognition with semi-supervised learning and Multiple Classifiers NEAMAT EL GAYAR*, SHABAN A. SHABAN† SAYED HAMDY† @@ -3519,35 +2991,6 @@ Marzuki1, Egi Muhamad Hidayat2, Rinaldi Munir3, Ary Setijadi P4 ,Carmadi Machbub School of Electrical Engineering and Informatics, Institut Teknologi Bandung Bandung, Indonesia lskk.ee.itb.ac.id" -470dbd3238b857f349ebf0efab0d2d6e9779073a,Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection,"Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection -Dongyoon Han and Junmo Kim -School of Electrical Engineering, KAIST, South Korea -In this paper, we propose a novel unsupervised feature selection method: Si- -multaneous Orthogonal basis Clustering Feature Selection (SOCFS). To per- -form feature selection on unlabeled data effectively, a regularized regression- -ased formulation with a new type of target matrix is designed. The target -matrix captures latent cluster centers of the projected data points by per- -forming the orthogonal basis clustering, and then guides the projection ma- -trix to select discriminative features. Unlike the recent unsupervised feature -selection methods, SOCFS does not explicitly use the pre-computed local -structure information for data points represented as additional terms of their -objective functions, but directly computes latent cluster information by the -target matrix conducting orthogonal basis clustering in a single unified term -of the proposed objective function. -Since the target matrix is put in a single unified term for regression of -the proposed objective function, feature selection and clustering are simul- -taneously performed. In this way, the projection matrix for feature selection -is more properly computed by the estimated latent cluster centers of the -projected data points. To the best of our knowledge, this is the first valid" -47d4838087a7ac2b995f3c5eba02ecdd2c28ba14,Automatic Recognition of Deceptive Facial Expressions of Emotion,"JOURNAL OF IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. XX, NO. X, XXX 2017 -Automatic Recognition of Facial Displays of -Unfelt Emotions -Kaustubh Kulkarni*, Ciprian Adrian Corneanu*, Ikechukwu Ofodile*, Student Member, IEEE, Sergio -Escalera, Xavier Bar´o, Sylwia Hyniewska, Member, IEEE, J¨uri Allik, -nd Gholamreza Anbarjafari, Senior Member, IEEE" -47bd6c1d7da596d3cf79f06ec0de816d10f11beb,Coupled Discriminant Analysis for Heterogeneous Face Recognition,"Coupled Discriminant Analysis for Heterogeneous -Face Recognition -Zhen Leiy, Member, IEEE, Shengcai Liaoz, Anil K. Jainz, Fellow, IEEE, and Stan Z. Liy, Fellow, IEEE" 47719d391417a237701c5e275ebb1034418e20f2,Human Face Processing with 1.5D Models,"Human Face Processing with 1.5D Models Gin´es Garc´ıa-Mateos1, Alberto Ruiz1, and Pedro E. L´opez-de-Teruel2 Dept. de Inform´atica y Sistemas @@ -3578,27 +3021,13 @@ Unsupervised Deep Learning for Optical Flow Estimation Zhe Ren,1 Junchi Yan,2,3∗ Bingbing Ni,1 Bin Liu,4 Xiaokang Yang,1 Hongyuan Zha5 Shanghai Jiao Tong University 2East China Normal University 3IBM Research 4Moshanghua Tech 5Georgia Tech" -475e16577be1bfc0dd1f74f67bb651abd6d63524,DAiSEE: Towards User Engagement Recognition in the Wild,"DAiSEE: Towards User Engagement Recognition in the Wild -Abhay Gupta -Microsoft -Vineeth N Balasubramanian -Indian Institution of Technology Hyderabad" 4753a125469da7649e9f58fb0db781622dff41f8,Single-View Semantic Mesh Refinement,"Multi-View Stereo with Single-View Semantic Mesh Refinement Andrea Romanoni Marco Ciccone Francesco Visin Matteo Matteucci {andrea.romanoni, marco.ciccone, francesco.visin, Politecnico di Milano, Italy" -47022785c35735a242dbacd4f1f1bb73628493ea,Person Retrieval Based on Viewpoint Saliency Prior,"Journal of Computational Information Systems 9: 20 (2013) 8235–8242 -Available at http://www.Jofcis.com -Person Retrieval Based on Viewpoint Saliency Prior -Qingming LENG, Ruimin HU∗, Cuina JIAO, Chao LIANG, Zheng WANG -National Engineering Research Center for Multimedia Software, School of Computer, Wuhan -University, Wuhan 430079, China" 47fc921add1421ff8adb730df7aa9e7f865bfdeb,Toward Practical Smile Detection,"Towards Practical Smile Detection Jacob Whitehill, Gwen Littlewort, Ian Fasel, Marian Bartlett, and Javier Movellan" -47a2727bd60e43f3253247b6d6f63faf2b67c54b,Semi-supervised Vocabulary-Informed Learning,"Semi-supervised Vocabulary-informed Learning -Yanwei Fu and Leonid Sigal -Disney Research" 47e8db3d9adb79a87c8c02b88f432f911eb45dc5,MAGMA: Multilevel Accelerated Gradient Mirror Descent Algorithm for Large-Scale Convex Composite Minimization,"MAGMA: Multi-level accelerated gradient mirror descent algorithm for large-scale convex composite minimization Vahan Hovhannisyan @@ -3646,20 +3075,9 @@ School of Computer Science and Engineering, Kyungpook National University, Laboratoire MIA (Mathematiques, Image et Applications)- Universit´e de La Rochelle, 17000, France, {andrews.sobral," 47980c6e42f1a3381e6c5f3db7230e6a64c40218,Finding People in Images and Videos,"INSTITUTNATIONALPOLYTECHNIQUEDEGRENOBLENum´eroattribu´eparlabiblioth`equeTH`ESEpourobtenirlegradedeDOCTEURDEL’INSTITUTNATIONALPOLYTECHNIQUEDEGRENOBLESp´ecialit´e:Imagerie,VisionetRobotiquedanslecardedel’´EcoleDoctoraleMath´ematiques,SciencesetTechnologiedel’Informationpr´esent´eeetsoutenuepubliquementparNavneetDALALle17Juillet,2006FindingPeopleinImagesandVideosJURYM.JamesL.CROWLEYPr´esidentM.MartialHEBERTRapporteurM.LucVanGOOLRapporteurM.ShaiAVIDANExaminateurMme.CordeliaSCHMIDDirecteurdeth`eseM.WilliamJ.TRIGGSDirecteurdeth`eseTh`esepr´epar´eedanslelaboratoireGRAVIR–IMAGauseinduProjetLEAR,INRIARhˆone-Alpes655avenuedel’Europe,38334SaintIsmier,France." -47d3b923730746bfaabaab29a35634c5f72c3f04,Real-Time Facial Expression Recognition App Development on Smart Phones,"Humaid Alshamsi.et.al. Int. Journal of Engineering Research and Application www.ijera.com -ISSN : 2248-9622, Vol. 7, Issue 7, ( Part -3) July 2017, pp.30-38 -RESEARCH ARTICLE -OPEN ACCESS -Real-Time Facial Expression Recognition App Development on -Smart Phones -Humaid Alshamsi, Veton Kupuska -Electrical And Computer Engineering Department, Florida Institute Of Technology, Melbourne Fl," 47f2088afb616bde5468818e23d79e1ae5a562cd,Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines,"Multi-view Gender Classification based on Local Gabor Binary Mapping Pattern and Support Vector Machines Bin Xia, He Sun and Bao-Liang Lu∗ Senior Member, IEEE" -47caa516511a111b9dfd04f0eae55c6568bddb6c,Joint Tensor Feature Analysis For Visual Object Recognition,"Joint Tensor Feature Analysis For Visual -Object Recognition -Wai Keung Wong, Zhihui Lai, Yong Xu, Member, IEEE, Jiajun Wen, and Chu Po Ho" 470b89e2c5248eb58e09129aa9b4d8bc77497e7e,Cortical folding abnormalities in autism revealed by surface-based morphometry.,"The Journal of Neuroscience, October 24, 2007 • 27(43):11725–11735 • 11725 Neurobiology of Disease Cortical Folding Abnormalities in Autism Revealed by @@ -3779,10 +3197,6 @@ Appearance Models. A comparison approach. Drago(cid:1) Datcu Léon Rothkrantz" 478261574ddc6cf297611000735aa9808f8f0030,ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes, -471befc1b5167fcfbf5280aa7f908eff0489c72b,Class-Specific Kernel-Discriminant Analysis for Face Verification,"Class-Specific Kernel-Discriminant -Analysis for Face Verification -Georgios Goudelis, Stefanos Zafeiriou, Anastasios Tefas, Member, IEEE, and Ioannis Pitas, Fellow, IEEE -lass problems (" 47541d04ec24662c0be438531527323d983e958e,Affective Information Processing,Affective Information Processing 47b34a8ad5100582aa7cbfd85df3ca7659adc392,Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world,"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, pages 1403–1414, Baltimore, Maryland, USA, June 23-25 2014. c(cid:13)2014 Association for Computational Linguistics" @@ -3820,9 +3234,6 @@ November 28, 2017" Xiaohan Fei Alex Wong Stefano Soatto" -99b7ff97ad54308b816e47d9bbf6704b787b8f52,Causal flow,"IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 14, NO. 3, JUNE 2012 -Causal Flow -Yuya Yamashita, Tatsuya Harada, Member, IEEE, and Yasuo Kuniyoshi, Member, IEEE" 998e829cc72080c88a780f322d6bf7ab78dbd743,Towards Real-Time Multiresolution Face/Head Detection,"´AAAAAAAAAAAAAAAAAAAAAAAA ´AAAAAAAAAAAAAAAAAAAAAAAA ART´ICULO @@ -3835,9 +3246,6 @@ y Aplicaciones Num´ericas en Ingenier´ıa Edificio Central del Parque Cient´ıfico-Tecnol´ogico Campus Universitario de Tafira 5017 Las Palmas - Espa˜na" -99d3bc6d62675297693e5e57ff0770e7017f9637,Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification,"Hierarchical Invariant Feature Learning with -Marginalization for Person Re-Identification -Rahul Rama Varior, Student Member, IEEE, Gang Wang, Member, IEEE" 9974a806bb69ed26fb8cf49ebdd53d7756336eec,Object Recognition Using Multiresolution Trees,"Object recognition using Multiresolution trees Monica Bianchini, Marco Maggini, and Lorenzo Sarti DII - Universit`a degli Studi di Siena @@ -3903,32 +3311,6 @@ Amira E. Youssef, Sherin F. Aly, Ahmed S. Ibrahim, and A. Lynn Abbott regarding emotion recognize" -99cb716cd7687db8ef3d0403c85b1ab90869800f,FACE RECOGNITION UNDER POSE AND EXPRESIVITY VARIATION USING THERMAL AND VISIBLE IMAGES,"FACE RECOGNITION UNDER POSE AND EXPRESIVITY -VARIATION USING THERMAL AND VISIBLE IMAGES -Florin Marius Pop, Mihaela Gordan, Camelia Florea, Aurel Vlaicu -Centre for Multimedia Technologies and Distance Education -Technical University of Cluj-Napoca, Romania -{Mihaela.Gordan, Camelia.Florea," -99c57ec53f2598d63c010f791adbca386b276919,Landmark-Guided Local Deep Neural Networks for Age and Gender Classification,"Hindawi -Journal of Sensors -Volume 2018, Article ID 5034684, 10 pages -https://doi.org/10.1155/2018/5034684 -Research Article -Landmark-Guided Local Deep Neural Networks for Age and -Gender Classification -Yungang Zhang 1 and Tianwei Xu2 -Department of Computer Science, Yunnan Normal University, Kunming, Yunnan 650500, China -Graduate School, Yunnan Normal University, Kunming, Yunnan 650500, China -Correspondence should be addressed to Yungang Zhang; -Received 22 February 2018; Accepted 30 April 2018; Published 9 July 2018 -Academic Editor: Mucheol Kim -Copyright © 2018 Yungang Zhang and Tianwei Xu. This is an open access article distributed under the Creative Commons -Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work -is properly cited. -Many types of deep neural networks have been proposed to address the problem of human biometric identification, especially in the -reas of face detection and recognition. Local deep neural networks have been recently used in face-based age and gender -lassification, despite their improvement in performance, their costs on model training is rather expensive. In this paper, we -propose to construct a local deep neural network for age and gender classification. In our proposed model, local image patches" 99e1ab1fb08af137cad6efbc0454c6e1e68dca51,3D human action recognition and motion analysis using selective representations,"D HUMAN ACTION RECOGNITION AND MOTION ANALYSIS USING SELECTIVE REPRESENTATIONS @@ -3983,18 +3365,6 @@ Ronny Hug∗, Stefan Becker∗, Wolfgang H¨ubner∗ and Michael Arens∗" 99227909e5733d76b0d50fc3fab975ab7a43fce3,A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation,"A Cascaded Inception of Inception Network with Attention Modulated Feature Fusion for Human Pose Estimation Submission ID: 2065" -99726ad232cef837f37914b63de70d8c5101f4e2,Facial Expression Recognition Using PCA & Distance Classifier,"International Journal of Scientific & Engineering Research, Volume 5, Issue 5, May-2014 570 -ISSN 2229-5518 -Facial Expression Recognition Using PCA & Distance Classifier -AlpeshKumar Dauda* -Dept. of Electronics & Telecomm. Engg. -Ph.D Scholar,VSSUT -BURLA, ODISHA, INDIA -Nilamani Bhoi -Reader in Dept. of Electronics & Telecomm. Engg. -VEER SURENDRA SAI UNIVERSITY OF -TECHNOLOGY -BURLA, ODISHA, INDIA" 998b7c8608fb9f80177ce54230761d8c3d82b2da,SHEF-Multimodal: Grounding Machine Translation on Images,"Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers, pages 660–665, Berlin, Germany, August 11-12, 2016. c(cid:13)2016 Association for Computational Linguistics" 99246f998a684879038f39583bcf75b8f218e0a3,Object Detection for Autonomous Driving Using Deep Learning,"UNIVERSITAT POLITÈCNICA DE CATALUNYA @@ -4164,9 +3534,6 @@ BSc(Biol), MSc(Biol), MSc(CompSc) A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2012 School of Information Technology and Electrical Engineering" -299eb74b2a553c6ff1e3d756a19cfe6ac4b133a0,Face recognition by independent component analysis,"Face Recognition by Independent -Component Analysis -Marian Stewart Bartlett, Member, IEEE, Javier R. Movellan, Member, IEEE, and Terrence J. Sejnowski, Fellow, IEEE" 2914a20df10f3bb55c5d4764ece85101c1a3e5a8,User interest profiling using tracking-free coarse gaze estimation,"User Interest Profiling Using Tracking-free Coarse Gaze Estimation Federico Bartoli, Giuseppe Lisanti, Lorenzo Seidenari, Alberto Del Bimbo @@ -4243,42 +3610,11 @@ Dr. Harald Scharfenberg Professor at FHD Thesis Supervisor Accepted by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ." -29b1a44d1e1ffa05c2bf7f4be931c5045f427718,ON GENERIC OBJECT RECOGNITION TECHNIQUES : CHALLENGES AND OPPORTUNITIES Prof,"International Journal of Advanced Research in Engineering and Technology -(IJARET) -Volume 6, Issue 12, Dec 2015, pp. 104-133, Article ID: IJARET_06_12_010 -Available online at -http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=6&IType=12 -ISSN Print: 0976-6480 and ISSN Online: 0976-6499 -© IAEME Publication -REVIEW ON GENERIC OBJECT -RECOGNITION TECHNIQUES: -CHALLENGES AND OPPORTUNITIES -Prof. Deepika Shukla -Comp. Science and Engineering Department, -Institute of Technology, Nirma University, Ahmedabad, India -Apurva Desai -Department of Computer Science and Information Technology, -VNSGU, Surat India" 2926a7b4e6f92498236817300a253e8f3a88bd49,Neural Paraphrase Generation using Transfer Learning,"Proceedings of The 10th International Natural Language Generation conference, pages 257–261, Santiago de Compostela, Spain, September 4-7 2017. c(cid:13)2017 Association for Computational Linguistics" 299af7d4fe6da8ac0b390e3ce45c48f7a8b5bb37,"Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose.","Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose Seyoung Park, Bruce Xiaohan Nie and Song-Chun Zhu" -29619496c688f8400a90fef79b4fa756967ed0f7,Head Gesture Recognition: A Literature Review,"International Conference on Innovative Research in Engineering, Science, Management and Humanities (ICIRESMH-2017) -t (IETE) Institution of Electronics and Telecommunication Engineers, Lodhi Road, Delhi, India -on 19th February 2017 -ISBN: 978-81-932712-5-4 -Head Gesture Recognition: A Literature Review -Er. Rushikesh T. Bankar -Ph. D Scholar, -Department of Electronics Engineering, -G. H. Raisoni College of Engineering, -Nagpur, India. -Dr. Suresh S. Salankar -Dean SAC & Professor, -Department of E&TC Engineering, -G. H. Raisoni College of Engineering, -Nagpur, India." 29756b6b16d7b06ea211f21cdaeacad94533e8b4,Thresholding Approach based on GPU for Facial Expression Recognition,"Thresholding Approach based on GPU for Facial Expression Recognition Jesús García-Ramírez1, J. Arturo Olvera-López1, Ivan Olmos-Pineda1, Georgina @@ -4320,11 +3656,6 @@ Department of Electrical and Electronic Engineering, Imperial College, South Ken {oscar.deniz, ismael.serrano, Keywords: ction recognition, violence detection, fight detection" -29c23c7d5d70aef54168ba20dccdd14f570901a3,Duplicate Discovery on 2 Billion Internet Images,"Duplicate Discovery on 2 Billion Internet Images -Xin-Jing Wang, Lei Zhang -Microsoft Research Asia -5 Danling Street, Beijing, China -fxjwang," 299c14458e13eb290534eb4484ad910ea0e828a7,Evaluation of the most appropriate Kernel Function for the Purpose of Feature Extraction in Face Recognition in video surveillance systems,"Evaluation of the most appropriate Kernel Function for the Purpose of Feature Extraction in Face Recognition in video surveillance systems @@ -4421,12 +3752,6 @@ Department of Computer Science, University of California, Irvine" 296502c6370cabd2b7e38e71cfc757d2e5fa2199,Detection of Deep Network Generated Images Using Disparities in Color Components,"Detection of Deep Network Generated Images Using Disparities in Color Components Haodong Li, Bin Li, Shunquan Tan, Jiwu Huang" -294bd7eb5dc24052237669cdd7b4675144e22306,Automatic Face Annotation,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438 -Automatic Face Annotation -Ashna Shajahan -M.Tech Student, Dept. of Computer Science & Engineering, Mount Zion College of Engineering, Pathanamthitta, Kerala, India" 29cf7937a1c1848c24b294569d50a2f7122de51b,MarioQA: Answering Questions by Watching Gameplay Videos,"MarioQA: Answering Questions by Watching Gameplay Videos Jonghwan Mun* Bohyung Han @@ -4441,9 +3766,6 @@ Real-time reliability measure-driven multi- hypothesis tracking using 2D and 3D features Marcos D Zúñiga1*, François Brémond2 and Monique Thonnat2 Open Access" -299ca90452aa8a7dd517de3ff3c9bf224d5100c7,Dynamic Scene Classification Using Redundant Spatial Scenelets,"Dynamic Scene Classification Using Redundant -Spatial Scenelets -Liang Du and Haibin Ling, Member, IEEE" 2921719b57544cfe5d0a1614d5ae81710ba804fa,Face Recognition Enhancement Based on Image File Formats and Wavelet,"Face Recognition Enhancement Based on Image File Formats and Wavelet De-noising Isra’a Abdul-Ameer Abdul-Jabbar, Jieqing Tan, and Zhengfeng Hou" @@ -4466,16 +3788,6 @@ work in other works. Contact https://ghassanalregib.com/ http://cantemel.com/" -29bcf87f48a5b4e2f06f20761cbc376d56df5f13,Face Recognition using PCA and SVM with Surf Technique,"Face Recognition using PCA and SVM with Surf -International Journal of Computer Applications (0975 – 8887) -Volume 129 – No.4, November2015 -Technique -Shilpa Sharma -Indo Global College of Engineering -Abhipur, Mohali, India -Kumud Sachdeva -Asstt.Prof. Indo Global College of Engineering -Abhipur, Mohali, India" 292c4bd6fa516393e9c8c5f1dae5afe0bb0ece35,IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Interacting Multiview Tracker,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 38, NO. 5, MAY 2016 Interacting Multiview Tracker Ju Hong Yoon, Ming-Hsuan Yang, Senior Member, IEEE, and Kuk-Jin Yoon" @@ -4552,8 +3864,6 @@ Department of Electrical and Computer Engineering American University of Beirut Beirut, Lebanon Email:" -9b95153e4d3972d59fabef0fddce9b7207836b1b,Nonlinear Discrete Hashing,"Nonlinear Discrete Hashing -Zhixiang Chen, Jiwen Lu, Senior Member, IEEE, Jianjiang Feng, Member, IEEE, and Jie Zhou, Senior Member, IEEE" 9bf6fbccfdf013cfd076f9357a05fb00b50735ee,JAR-Aibo: A Multi-view Dataset for Evaluation of Model-Free Action Recognition Systems,"JAR-Aibo: A Multi-View Dataset for Evaluation of Model-Free Action Recognition Systems Marco K¨orner and Joachim Denzler @@ -4630,10 +3940,6 @@ Baidu.com, Inc" 9bcfadd22b2c84a717c56a2725971b6d49d3a804,How to Detect a Loss of Attention in a Tutoring System using Facial Expressions and Gaze Direction,"How to Detect a Loss of Attention in a Tutoring System using Facial Expressions and Gaze Direction Mark ter Maat" -9b693c71cc89e2d2f41b6ab5cc0f62ca59c6d128,Recognizing Unseen Attribute-Object Pair with Generative Model,"Recognizing Unseen Attribute-Object Pair with Generative Model -Zhixiong Nan1,2∗ , Yang Liu2∗, Nanning Zheng1, and Song-Chun Zhu2 -Xi’an Jiaotong University, China -University of California, Los Angeles, USA" 9b678aa28facf4f90081d41c2c484c6addddb86d,Fully Convolutional Attention Networks for Fine-Grained Recognition,"Fully Convolutional Attention Networks for Fine-Grained Recognition Xiao Liu, Tian Xia, Jiang Wang, Yi Yang, Feng Zhou and Yuanqing Lin Baidu Research @@ -4642,16 +3948,6 @@ Baidu Research 9bac481dc4171aa2d847feac546c9f7299cc5aa0,Matrix Product State for Higher-Order Tensor Compression and Classification,"Matrix Product State for Higher-Order Tensor Compression and Classification Johann A. Bengua1, Ho N. Phien1, Hoang D. Tuan1 and Minh N. Do2" -9bcfa6d23ea628ccfabf6900ef05437e7cecb1c6,A Hybrid Approach for Secure Biometric Authentication Using Fusion of Iris and Ear,"Volume 5, Issue 8, August 2015 ISSN: 2277 128X -International Journal of Advanced Research in -Computer Science and Software Engineering -Research Paper -Available online at: www.ijarcsse.com -A Hybrid Approach for Secure Biometric Authentication Using -Fusion of Iris and Ear -Pamalpreet Kaur*, Er. Nirvair Neeru -CSE Deptt. Punjabi University, -Patiala, India" 9b7974d9ad19bb4ba1ea147c55e629ad7927c5d7,Faical Expression Recognition by Combining Texture and Geometrical Features,"Faical Expression Recognition by Combining Texture and Geometrical Features Renjie Liu, Ruofei Du, Bao-Liang Lu*" @@ -4692,17 +3988,6 @@ Reasoning with shapes: profiting cognitive susceptibilities to infer linear mapping transformations between shapes Vahid Jalili" -9b666e20f570387214926eee542965f3fbe3cfce,Side Information for Face Completion: a Robust PCA Approach,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 -Side Information for Face Completion: a Robust -PCA Approach -Niannan Xue, Student Member, IEEE, Jiankang Deng, Student Member,IEEE, -Shiyang Cheng, Student Member,IEEE, Yannis Panagakis, Member,IEEE, -nd Stefanos Zafeiriou, Member, IEEE" -9b4e90866c1f096a57383fb7320ac9d516a2f88d,Towards lightweight convolutional neural networks for object detection,"TOWARDS LIGHTWEIGHT CONVOLUTIONAL NEURAL -NETWORKS FOR OBJECT DETECTION -Dmitriy Anisimov, Tatiana Khanova -Intel -Nizhny Novgorod, Russia" 9b7c6ef333c6e64f2dfa97a1a3614d0775d81a8a,A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval,"A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval Ruoyu Liu, Yao Zhao, Liang Zheng, Shikui Wei, and Yi Yang" @@ -4728,13 +4013,6 @@ Xiaofeng Cao, Ivor W. Tsang, Jianliang Xu, Zenglin Shi, Guandong Xu" Sang Phan, Duy-Dinh Le, Shin’ichi Satoh National Institute of Informatics -1-2 Hitotsubashi, Chiyoda-ku, Tokyo, Japan 101-8430" -13f07d51c073964d11f9af6463fe3ffe5475c393,"Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation","This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. -Part-Based Pedestrian Detection and Feature-Based -Tracking for Driver Assistance: Real-Time, -Robust Algorithms, and Evaluation -Antonio Prioletti, Student Member, IEEE, Andreas Møgelmose, Student Member, IEEE, Paolo Grisleri, -Mohan Manubhai Trivedi, Fellow, IEEE, Alberto Broggi, Senior Member, IEEE, and -Thomas B. Moeslund, Member, IEEE" 13b8d657f0f9a0178339570bdc153bfd10a81300,Harvesting large-scale weakly-tagged image databases from the web,"Harvesting Large-Scale Weakly-Tagged Image Databases from the Web Jianping Fan1, Yi Shen1, Ning Zhou1, Yuli Gao2 Department of Computer Science, UNC-Charlotte, NC28223, USA @@ -4759,13 +4037,6 @@ Laboratoire d’Informatique, Polytech’Tours, Universite´ Franc¸ois-Rabelais e-mail: {sebastien.aupetit, nicolas.monmarche, (Received 16 July 2005; in final form 22 December 2005; published online 28 February 2006) In this work we consider the problem of Hidden Markov Models (HMM) training. This" -130bf256f4cc3dded4fb701f74f6a34992be639b,A Robust Multiwavelet-Based Watermarking Scheme for Copyright Protection of Digital Images Using Human Visual System,"The International Arab Journal of Information Technology, Vol. 10, No. 6, November 2013 527 -A Robust Multiwavelet-Based Watermarking -Scheme for Copyright Protection of Digital -Images using Human Visual System -Padmanabhareddy Vundela1 and Varadarajan Sourirajan2 -Department of Information Technology, Vardhaman College of Engineering, India -Department of Electrical and Electronic Engineering, S.V. University College of Engineering, India" 138e3f6bc164a7b26a0ff283379a325afc0fee14,Geo-Supervised Visual Depth Prediction,"Geo-Supervised Visual Depth Prediction Xiaohan Fei Alex Wong @@ -4785,11 +4056,6 @@ Tübingen, Germany" 139763a0b2e78b63b245a456f2b9dbde2d1d573c,"RPRG: Toward Real-time Robotic Perception, Reasoning and Grasping with One Multi-task Convolutional Neural Network","RPRG: Toward Real-time Robotic Perception, Reasoning and Grasping with One Multi-task Convolutional Neural Network Hanbo Zhang, Xuguang Lan, Lipeng Wan, Chenjie Yang, Xinwen Zhou, and Nanning Zheng" -134db6ca13f808a848321d3998e4fe4cdc52fbc2,Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 36, NO. 2, APRIL 2006 -Dynamics of Facial Expression: Recognition of -Facial Actions and Their Temporal Segments -From Face Profile Image Sequences -Maja Pantic, Member, IEEE, and Ioannis Patras, Member, IEEE" 135fcdab631ab30ae837a743040f1c8751268e41,DeepStyle: Multimodal Search Engine for Fashion and Interior Design,"SUBMITTED TO IEEE TRANSACTIONS ON MULTIMEDIA DeepStyle: Multimodal Search Engine for Fashion and Interior Design @@ -4820,11 +4086,6 @@ is an emerging technology that addresses the automated identification of individuals, based on their physiological and behavioral traits. The main advantage of iometric methods is the ability to recognize, which is made by means of a physical feature or unique pattern (Jain et al. (2008)). With these methods and individual can hardly be victim" -13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d,Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association,"Joint Learning of Siamese CNNs and Temporally -Constrained Metrics for Tracklet Association -Bing Wang, Student Member, IEEE, Li Wang, Member, IEEE, Bing Shuai, Student Member, IEEE, -Zhen Zuo, Student Member, IEEE, Ting Liu, Student Member, IEEE, Kap Luk Chan, Member, IEEE, and -Gang Wang, Member, IEEE" 135fe2a0a0e6b726e5d81299edad4b3ce39d6614,Multichannel-Kernel Canonical Correlation Analysis for Cross-View Person Reidentification,"This is a pre-print version, the final version of the manuscript with more experiments can be found at: https://doi.org/10.1145/3038916 Multi Channel-Kernel Canonical Correlation @@ -4850,10 +4111,6 @@ FPCEUP, Porto, Portugal. ESTSPIPP, Porto, Portugal. Institution where the study was elaborated: Faculty of Psychology and Educational Sciences, Porto University, Portugal. Received: 11/6/2012 – Accepted: 2/14/2013" -133f01aec1534604d184d56de866a4bd531dac87,Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics,"Effective Unconstrained Face Recognition by -Combining Multiple Descriptors and Learned -Background Statistics -Lior Wolf, Member, IEEE, Tal Hassner, and Yaniv Taigman" 13ae3c8afef5a0d6f4c9e684da9fc1fa96caaeb6,Online Anomaly Detection in Crowd Scenes via Structure Analysis,"Online Anomaly Detection in Crowd Scenes via Structure Analysis Yuan Yuan, Senior Member, IEEE, Jianwu Fang, and Qi Wang" @@ -5020,15 +4277,6 @@ University of California, Berkeley∗ and Microsoft Research† yeshen, jfgao, jingjl," 13b2e01030ae41983003e3ae53b5bb3ed3e764f0,Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline,"Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline Stefan Breuers1, Lucas Beyer1, Umer Rafi1, Bastian Leibe1" -132cc530230cb869318b0a9d81a717077895db38,Emancipation of Upper Bound Greedy Algorithm in Detection of Nodes in Social Networks,"Emancipation of Upper Bound Greedy Algorithm in Detection -© 2018 IJSRSET | Volume 4 | Issue 1 | Print ISSN: 2395-1990 | Online ISSN : 2394-4099 -Themed Section : Engineering and Technology -of Nodes in Social Networks -Shaik Aasha1, T. Nagini2 -M.Tech Scholar Department of CS, St.Mary’s Group of Institutions Guntur Chebrolu(V&M),Guntur(Dt), -Andhra Pradesh, India -Assistant Professor Department of CSE, St.Mary’s Group of Institutions Guntur Chebrolu(V&M),Guntur(Dt), -Andhra Pradesh, India" 13f03aab62fc29748114a0219426613cf3ba76ae,MORPH-II: Feature Vector Documentation,"MORPH-II: Feature Vector Documentation Troy P. Kling NSF-REU Site at UNC Wilmington, Summer 2017 @@ -5061,19 +4309,6 @@ Priusha Narwariya Dept. of CSE ITM Universe Gwalior" -138cef9080f213f1ffc7900ade7c0e85ee8e7bf2,Bloodhound : Kinship Through Imaging,"ISSN (Online) : 2319 – 8753 -ISSN (Print) : 2347 - 6710 -International Journal of Innovative Research in Science, Engineering and Technology -An ISO 3297: 2007 Certified Organization, -Volume 3, Special Issue 5, April 2014 -Two days National Conference – VISHWATECH 2014 -On 21st & 22nd February, Organized by -Department of CIVIL, CE, ETC, MECHNICAL, MECHNICAL SAND, IT Engg. Of Vishwabharati Academy’s College of engineering, -Ahmednagar, Maharastra, India -Bloodhound : Kinship Through Imaging -Chaitali Deshmukh, Prof. S.D.Jondhale -ME student, Department of Computer Engineering, SVIT, Chincholi, Nashik, India. -Professor, Computer Engineering Department, SVIT, Chincholi, Nashik, India." 13f9922632ff5311046229b849615fcd2f5d0c06,On Multi-scale differential features for face recognition,"On Multi-scale differential features for face recognition Center for Intelligent Information Retrieval S. Ravela @@ -5145,21 +4380,12 @@ Cornell Tech Gunnar R¨atsch Computational Biology Program, Sloan Kettering Institute 275 York Avenue, New York, USA" -60cc2e8abc20c145727e7089c55bdba5722436d0,Higher Order Matching for Consistent Multiple Target Tracking,"Higher Order Matching for Consistent Multiple Target Tracking -Chetan Arora -Amir Globerson -School of Computer Science and Engineering -The Hebrew University -http://www.cs.huji.ac.il/˜chetan/" 60ffc8db53b02e95d852f5a06f97686486f72195,Video matching using DC-image and local features,"Video Matching Using DC-image and Local Features Saddam Bekhet, Amr Ahmed and Andrew Hunter" 60cdcf75e97e88638ec973f468598ae7f75c59b4,Face Annotation Using Transductive Kernel Fisher Discriminant,"Face Annotation Using Transductive Kernel Fisher Discriminant Jianke Zhu, Steven C.H. Hoi, and Michael R. Lyu" -6047e9af00dcffbd2effbfa600735eb111f7de65,A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,"A Discriminative Representation of Convolutional -Features for Indoor Scene Recognition -S. H. Khan, M. Hayat, M. Bennamoun, Member, IEEE, R. Togneri, and F. Sohel, Senior Member, IEEE" 60d75d32d345c519fa5c0d8d6b6eb62e633a8d13,Person reidentification by semisupervised dictionary rectification learning with retraining module,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/13/2018 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use PersonreidentificationbysemisuperviseddictionaryrectificationlearningwithretrainingmoduleHongyuanWangZongyuanDingJiZhangSuolanLiuTongguangNiFuhuaChenHongyuanWang,ZongyuanDing,JiZhang,SuolanLiu,TongguangNi,FuhuaChen,“Personreidentificationbysemisuperviseddictionaryrectificationlearningwithretrainingmodule,”J.Electron.Imaging27(4),043043(2018),doi:10.1117/1.JEI.27.4.043043." @@ -5241,13 +4467,6 @@ segmentation of medical images [17], [18]. In conventional Sparse Representation Experience-Based Classification for Robot Perception Jeffrey Hawke†, Corina Gur˘au†, Chi Hay Tong and Ingmar Posner" -601834a4150e9af028df90535ab61d812c45082c,A short review and primer on using video for psychophysiological observations in human-computer interaction applications,"A short review and primer on using video for -psychophysiological observations in -human-computer interaction applications -Teppo Valtonen1 -Quantified Employee unit, Finnish Institute of Occupational Health, -teppo. valtonen fi, -POBox 40, 00250, Helsinki, Finland" 6025f0761024006e0ea5782a7cea29ed69231fbf,Neural Mechanisms of Qigong Sensory Training Massage for Children With Autism Spectrum Disorder: A Feasibility Study,"Original Article Neural Mechanisms of Qigong Sensory Training Massage for Children With Autism @@ -5293,18 +4512,6 @@ Moulay Slimane, Beni Mellal Arne Schumann, Eduardo Monari Fraunhofer Institute for Optronics, System Technologies and Image Exploitation {arne.schumann," -607850dc8e640c25f027f2eee202dee5605cf27c,A Survey on Face Detection and Recognition Techniques in Different Application Domain,"I.J. Modern Education and Computer Science, 2014, 8, 34-44 -Published Online August 2014 in MECS (http://www.mecs-press.org/) -DOI: 10.5815/ijmecs.2014.08.05 -A Survey on Face Detection and Recognition -Techniques in Different Application Domain -Subrat Kumar Rath, Siddharth Swarup Rautaray -School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India -related -technology -recognition, -to biometric science -the popularity and" 60bc358296ae11ac8f11286bba0a49ac7e797d26,Diverse Image-to-Image Translation via Disentangled Representations,"Diverse Image-to-Image Translation via Disentangled Representations Hsin-Ying Lee(cid:63)1, Hung-Yu Tseng(cid:63)1, Jia-Bin Huang2, Maneesh Singh3, @@ -5322,14 +4529,6 @@ Output Fig. 1: Unpaired diverse image-to-image translation. (Lef t) Our model learns to perform diverse translation between two collections of images without ligned training pairs. (Right) Example-guided translation." -60ec284f67c1012419e5dea508d1bae4bc144bb2,Curvelet Based Multiresolution Analysis of Face Images for Recognition using Robust Local Binary Pattern Descriptor,"Proc. of Int. Conf. on Recent Trends in Signal Processing, Image Processing and VLSI, ICrtSIV -Curvelet Based Multiresolution Analysis of Face -Images for Recognition using Robust Local Binary -Pattern Descriptor -Nagaraja S. and Prabhakar C.J -Department of P.G. Studies and Research in Computer Science, -Kuvempu University, Karnataka, India -Email: { nagarajas27, psajjan" 608c5103ad8e745b98dfe92ef33b66b93f01b051,Amélioration de performance de la navigation basée vision pour la robotique autonome : une approche par couplage vision/commande. (Performance improvment of vision-based navigation for autonomous robotics : a vision and control coupling approach),"Amélioration de performance de la navigation basée vision pour la robotique autonome : une approche par ouplage vision/commande @@ -5404,9 +4603,6 @@ Signals and systems group, Faculty of Electrical Engineering, Mathematics and Co G. M. Beumer, and R.N.J. Veldhuis Twente, Enschede, The Netherlands Email:" -60e2b9b2e0db3089237d0208f57b22a3aac932c1,Frankenstein: Learning Deep Face Representations Using Small Data,"Frankenstein: Learning Deep Face Representations -using Small Data -Guosheng Hu, Member, IEEE, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, and Jakob Verbeek" 602ff4fd0f5bd10c9fb971ecd2317e542f070883,Object Detection from the Satellite Images using Divide and Conquer Model,"SSRG International Journal of Computer Science and Engineering (SSRG-IJCSE) – volume1 issue10 Dec 2014 Object Detection from the Satellite Images using Divide and Conquer Model @@ -5527,9 +4723,6 @@ norm as a convex surrogate of the rank operator. However, all singular values ar thus the rank may not be well approximated in practical problems. In this paper, we propose using a log-determinant (LogDet) function as a smooth and closer, though nonconvex, approximation to rank for obtaining a low-rank representation in subspace lustering. Augmented Lagrange multipliers strategy is applied to iteratively optimize the LogDet-based nonconvex objective" -60f7de07de4d090990120483bd5407369b29a120,ℓ₁-Norm Heteroscedastic Discriminant Analysis Under Mixture of Gaussian Distributions.,"L1-Norm Heteroscedastic Discriminant Analysis -under Mixture of Gaussian Distributions -Wenming Zheng, Member, IEEE, Cheng Lu, Zhouchen Lin, Fellow, IEEE, Tong Zhang, Zhen Cui, Wankou Yang" 60efdb2e204b2be6701a8e168983fa666feac1be,Transferring Deep Object and Scene Representations for Event Recognition in Still Images,"Int J Comput Vis DOI 10.1007/s11263-017-1043-5 Transferring Deep Object and Scene Representations for Event @@ -5538,9 +4731,6 @@ Limin Wang1 · Zhe Wang2 · Yu Qiao3 · Luc Van Gool1 Received: 31 March 2016 / Accepted: 1 September 2017 © Springer Science+Business Media, LLC 2017" -60b66ec51ddadd132453f700d1781e8e7a8f78c8,Self-Validated Labeling of Markov Random Fields for Image Segmentation,"Self-Validated Labeling of Markov Random -Fields for Image Segmentation -Wei Feng, Jiaya Jia, Member, IEEE, and Zhi-Qiang Liu" 77db171a523fc3d08c91cea94c9562f3edce56e1,Gauss-Laguerre wavelet textural feature fusion with geometrical information for facial expression identification,"Poursaberi et al. EURASIP Journal on Image and Video Processing 2012, 2012:17 http://jivp.eurasipjournals.com/content/2012/1/17 R ES EAR CH @@ -5665,16 +4855,8 @@ Dayananda Sagar College of Engineering, Bangalore, India. Sai-Tektronix Pvt. Ltd., Bangalore, India. University Visvesvaraya College of Engineering, Bangalore, India. dK.S. Institute of Technology, Bangalore, India." -7711a7404f1f1ac3a0107203936e6332f50ac30c,Action Classification and Highlighting in Videos,"Action Classification and Highlighting in Videos -Atousa Torabi -Disney Research Pittsburgh -Leonid Sigal -Disney Research Pittsburgh" 77c7f5c5852c189b59c34ebbbbec03e5e4060428,Talking to Robots : Learning to Ground Human Language in Perception and Execution,"(cid:13)Copyright 2014 Cynthia Matuszek" -7754b708d6258fb8279aa5667ce805e9f925dfd0,Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships,"Facial Action Unit Recognition by Exploiting -Their Dynamic and Semantic Relationships -Yan Tong, Student Member, IEEE, Wenhui Liao, Member, IEEE, and Qiang Ji, Senior Member, IEEE" 77acb8847a76bfcc925f45387fb7abd4f2bd38ac,A novel polar-based human face recognition computational model.,"Novel polar-based human face recognition computational model Brazilian Journal of Medical and Biological Research (2009) 42: 637-646 ISSN 0100-879X @@ -5776,15 +4958,6 @@ Selection of our books indexed in the Book Citation Index in Web of Science™ Core Collection (BKCI) Interested in publishing with us? Contact" -778952cc94d5baa5132ffbe2cf342f80032f5f73,Comparative Analysis of Techniques for the Recognition of Stabbed Wound and Accidental Wound Patterns,"International Journal of Computer Applications (0975 – 8887) -Volume 182 – No. 13, September 2018 -Comparative Analysis of Techniques for the Recognition -of Stabbed Wound and Accidental Wound Patterns -Dayanand G. Savakar -Department of Computer Science -Rani Channamma University, Belagavi -INDIA -schemas of" 778c9f88839eb26129427e1b8633caa4bd4d275e,Pose pooling kernels for sub-category recognition,"Pose Pooling Kernels for Sub-category Recognition Ning Zhang ICSI & UC Berkeley @@ -5799,10 +4972,6 @@ Judy Hoffman Li Fei-Fei CS Department Stanford University {tgebru, jhoffman," -772d15efe06d741b4ab7c5524c5384406731a3f7,Random Sampling and Locality Constraint for Fast Face Sketch Synthesis,"> A SUBMISSION TO IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS< -Random Sampling and Locality Constraint for Fast -Face Sketch Synthesis -Nannan Wang, Member, IEEE, and Xinbo Gao, Senior Member, IEEE, and Jie Li" 77d0c4ed1c2d971b3e81fe7919be7a5a19309f40,Deep Generative Modeling of LiDAR Data,"Deep Generative Modeling of LiDAR Data Lucas Caccia1,2, Herke van Hoof1,4, Aaron Courville2,3, Joelle Pineau1,2,3" 7789252476073a77e80fb0668eecf94a99b81d8d,Fast Landmark Localization With 3D Component Reconstruction and CNN for Cross-Pose Recognition,"Fast Landmark Localization @@ -5866,10 +5035,6 @@ Department of Psychology, Faculty of Humanities and Social Sciences, University of Zagreb, Croatia Ana Marija Španić Child Protection Center of Zagreb, Zagreb, Croatia" -7789a5d87884f8bafec8a82085292e87d4e2866f,A Unified Tensor-based Active Appearance Face Model,"A Unified Tensor-based Active Appearance Face -Model -Zhen-Hua Feng, Member, IEEE, Josef Kittler, Life Member, IEEE, William Christmas, and Xiao-Jun Wu, -Member, IEEE" 776b77306bdb852c89a22ba142fb57c8e8bb7bb5,Efficient On-Board Stereo Vision Pose Estimation,"Ef‌f‌icient On-Board Stereo Vision Pose Estimation(cid:2) Angel D. Sappa1, Fadi Dornaika2, David Ger´onimo1, and Antonio L´opez1 @@ -5887,17 +5052,6 @@ Zhiqiang Zhang2 Gang Yu Jian Sun Megvii Inc. (Face++), {chenyilun, wangzhicheng, pyx, zhangzhiqiang, yugang, Tsinghua University 2HuaZhong University of Science and Technology" -9a2ed8abaa17834cb8f227a9353c8cfed3a367cd,A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot,"A Method of Detecting Abnormal Crowd Behavior Events Applied in Air Patrol Robot -School of Electrical and Electronic Engineering ,Shanghai Institute of Technology, Shanghai, China -Huailin Zhao -School of Electrical and Electronic Engineering ,Shanghai Institute of Technology, Shanghai, China -Shunzhou Wang -School of Electrical and Electronic Engineering ,Shanghai Institute of Technology, Shanghai, China -Shifang Xu -School of Computer Science and Information Engineering ,Shanghai Institute of Technology, Shanghai, China -Yani Zhang -Masanori Sugisaka -Alife Robotics Corporation LTD, Oita, Japan" 9a03b7b71a82fc2c86b3b4cbec802dfc16978486,One-Shot Observation Learning,"One-Shot Observation Learning Leo Pauly, Wisdom C. Agboh, Mohamed Abdellatif, David C. Hogg, Raul Fuentes" 9a1a9dd3c471bba17e5ce80a53e52fcaaad4373e,Automatic Recognition of Spontaneous Facial Actions,"Automatic Recognition of Spontaneous Facial @@ -5937,16 +5091,6 @@ Support Vector Machines Porawat Visutsak Department of Information Technology, Faculty of Industrial Technology and Management, King Mongkut’s University of Technology North Bangkok," -9abc9e3cadbec9139b39dfddb0de6c08b7aaf2d0,Pain Intensity Evaluation through Facial Action Units,"Pain Intensity Evaluation Through Facial Action -Units -Zuhair Zafar -Dept. of Electrical Engineering, SBASSE, -Lahore University of Management Sciences, -Lahore, Pakistan -Nadeem Ahmad Khan -Dept. of Electrical Engineering, SBASSE, -Lahore University of Management Sciences, -Lahore, Pakistan" 9a08459b0cb133f0f4352c58225446f9dc95ecc4,Metadata of the chapter that will be visualized in SpringerLink,"Metadata of the chapter that will be visualized in SpringerLink Book Title @@ -6084,23 +5228,6 @@ Vergara, Diego∗1, Hern´andez, Sergio∗2, Valdenegro-Toro, Mat´ıas∗∗3 a Laboratorio de Procesamiento de Informaci´on Geoespacial, Universidad Cat´olica del Maule, Chile. German Research Centre for Artificial Intelligence, Bremen, Germany. Email:" -0c2c53d71942ad3171b693f565812f1db43215e0,Descriptive visual words and visual phrases for image applications,"Descriptive Visual Words and Visual Phrases for Image -Shiliang Zhang1, Qi Tian2, Gang Hua3, Qingming Huang4, Shipeng Li2 -Applications -Key Lab of Intelli. Info. -Process., Inst. of Comput. -Tech., CAS, Beijing 100080, -China -Microsoft Research Asia, -Beijing 100080, China -Microsoft Live Labs -Research, Redmond, WA -78052, U.S.A. -Graduate University of -Chinese Academy of -Sciences, Beijing 100049, -China -{slzhang, {qitian, ganghua," 0cd98be65a1a645f3c9618d9920be3a3dfc77574,Just-in-Time Reconstruction: Inpainting Sparse Maps Using Single View Depth Predictors as Priors,"Inpainting Sparse Maps using Single View Depth Predictors as Priors Just-in-Time Reconstruction: Chamara Saroj Weerasekera1, Thanuja Dharmasiri2, Ravi Garg1, Tom Drummond2 and Ian Reid1" @@ -6118,41 +5245,12 @@ EURECOM Institute http:www.eurecom.fr~marchand To be presented in the nd Int. Conf. on Audio- and Video-based Biometric Person Authentication" -0c1d40de56698e672d3906b96f47ae1361fc3912,Face Recognition Using Kernel PrincipalComponent Analysis,"Advances in Vision Computing: An International Journal (AVC) Vol.1, No.1, March 2014 -Face Recognition Using Kernel -PrincipalComponent Analysis -Jayanthi T and 2Dr. Aji S -Assistant Professor,Department of Computer Applications, -Mohandas College of Engineering and Technology, Anad, Nedumangad -Thiruvananthapuram, India -Assistant Professor,Department of Computer Science,University of Kerala -Kariyavattom,Thiruvananthapuram, India" 0c95ff762bdf6a20609f49f1eb5248de3f748866,Fine-Grained Walking Activity Recognition via Driving Recorder Dataset,"Fine-grained Walking Activity Recognition via Driving Recorder Dataset Hirokatsu Kataoka (AIST), Yoshimitsu Aoki (Keio Univ.), Yutaka Satoh (AIST) Shoko Oikawa (NTSEL), Yasuhiro Matsui (NTSEL) Email: http://hirokatsukataoka.net/" -0c1d5801f2b86afa969524dc74708a78450300d9,2 : Conditional Random Fields,"0-708: Probabilistic Graphical Models 10-708, Spring 2014 -2 : Conditional Random Fields -Lecturer: Eric P. Xing -Scribes: Qin Gao, Siheng Chen -Hidden Markov Model -.1 General parametric form -In hidden Markov model (HMM), we have three sets of parameters, -t = 1|yi -transition probability matrix A : p(yj -initialprobabilities : p(y1) ∼ Multinomial(π1, π2, ..., πM ), -emission probabilities : p(xt|yi -t) ∼ Multinomial(bi,1, bi,2, ..., bi,K). -t−1 = 1) = ai,j, -.2 Inference -The inference can be done with forward algorithm which computes αk -) recursively by -t ≡ µt−1→t(k) = P (x1, ..., xt−1, xt, yk -nd the backward algorithm which computes βk -t = 1) recursively by -(cid:88)" 0c5ddfa02982dcad47704888b271997c4de0674b,Model-driven and Data-driven Approaches for some Object Recognition Problems, 0c3f7272a68c8e0aa6b92d132d1bf8541c062141,Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition,"Hindawi Publishing Corporation e Scientific World Journal @@ -6247,12 +5345,6 @@ Ecole Polytechnique Federale de Lausanne, Signal Processing Institute Ecole Polytechnique Federale de Lausanne, Operation Research Group Ecublens, 1015 Lausanne, Switzerland Ecublens, 1015 Lausanne, Switzerland" -0c9d9ebecfce885f3b1e7bd82ec1b74e9f17b9de,Attribute expansion with sequential learning for object classification,"ATTRIBUTE EXPANSION WITH SEQUENTIAL LEARNING FOR OBJECT -CLASSIFICATION -Biao Niuy, Bin Liz, Peng Liy, Xi Zhangy, Jian Chengy, Hanqing Luy -National Laboratory of Pattern Recognition, CASIA, Beijing, China 100190 -ShiJiaZhuang Vocational Technology Institute, Hebei, China 050000 -{bniu, pli, xi.zhang, jcheng," 0c8d675bcd4489e886f35bee2a347c948ffee270,Semantic bottleneck for computer vision tasks,"Semantic bottleneck for computer vision tasks Maxime Bucher1,2, St´ephane Herbin1, and Fr´ed´eric Jurie2 ONERA, Universit´e Paris-Saclay, FR-91123 Palaiseau, France @@ -6301,14 +5393,6 @@ Philipps-Universit¨at Marburg Technicolor MPI for Informatics" 0cb2dd5f178e3a297a0c33068961018659d0f443,IARPA Janus Benchmark-B Face Dataset,"© 2017 Noblis, Inc. IARPA Janus Benchmark-B Face Dataset Cameron Whitelam, Emma Taborsky*, Austin Blanton, Brianna Maze*, Jocelyn Adams*, Tim Miller*, Nathan Kalka*, Anil K. Jain**, James A. Duncan*, Kristen Allen, Jordan Cheney*, Patrick Grother*** Noblis* Michigan State University** NIST*** 21 July 2017" -0c922f8be9f0368c1abd53b8d9554f06b73a56cf,High-Level Fusion of Depth and Intensity for Pedestrian Classification,"High-Level Fusion of Depth and -Intensity for Pedestrian Classification -Marcus Rohrbach1,3,(cid:2), Markus Enzweiler2,(cid:2), and Dariu M. Gavrila1,4 -Environment Perception, Group Research, Daimler AG, Ulm, Germany -Image & Pattern Analysis Group, Dept. of Math. -nd Computer Science, Univ. of Heidelberg, Germany -Dept. of Computer Science, TU Darmstadt, Germany -Intelligent Systems Lab, Fac. of Science, Univ. of Amsterdam, The Netherlands" 0ca475433d74abb3c0f38fbe9d212058dc771570,Learning pairwise feature dissimilarities for person re-identification,"Learning Pairwise Feature Dissimilarities for Person Re-Identification Niki Martinel @@ -6345,10 +5429,6 @@ Eng. Jiangsu Univ. Xuefu Road 01 Jingkou District Zhenjiang Prov. 212003 supported by" -0cf333cab1a9ccf671cebf31b78180f863c1caa7,Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving,"Automated Evaluation of Semantic Segmentation -Robustness for Autonomous Driving -Wei Zhou, Member, IEEE, Julie Stephany Berrio, Member, IEEE, -Stewart Worrall, Member, IEEE, and Eduardo Nebot, Member, IEEE" 0cf7da0df64557a4774100f6fde898bc4a3c4840,Shape matching and object recognition using low distortion correspondences,"Shape Matching and Object Recognition using Low Distortion Correspondences Alexander C. Berg Tamara L. Berg Jitendra Malik @@ -6382,22 +5462,9 @@ Department of Computer Science,Universidade Federal de Minas Gerais, Belo Horizo 0c03bb741972c99b71d8d733b92e5fa9430cbede,Learning rank reduced interpolation with principal component analysis,"Learning Rank Reduced Interpolation with Principal Component Analysis Matthias Ochs1, Henry Bradler1 and Rudolf Mester1,2" -0c4659b35ec2518914da924e692deb37e96d6206,Registering a MultiSensor Ensemble of Images,"Registering a MultiSensor Ensemble of Images -Jeff Orchard, Member, IEEE, and Richard Mann" 0c25a4636ebde18e229f7e459f1adaab1e9a2db9,Multi-class Classification and Clustering based Multi-object Tracking,"Multi-class Classification and Clustering based Multi-object Tracking Nii Longdon Sowah, Qingbo Wu, Fanman Meng" -0cd8fabfc8e22be8275c317e7ccd37e640711c62,Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition,"Experiments on an RGB-D Wearable Vision System -for Egocentric Activity Recognition -Mohammad Moghimi1, Pablo Azagra2, Luis Montesano2, Ana C. Murillo1,2 and Serge Belongie3 -UC San Diego -La Jolla, CA -DIIS - I3A -University of Zaragoza, Spain -{montesano, -Cornell Tech -New York, NY -tech.cornell.edu" 0c5f9f5083b9fca4dcdbc4b122099ac1f630728b,Visual Semantic Role Labeling,"Visual Semantic Role Labeling Saurabh Gupta UC Berkeley @@ -6415,9 +5482,6 @@ IBM Research - Haifa, Israel Photometric Calibration, Motion Bias and Rolling Shutter Effect Nan Yang1,2,∗, Rui Wang1,2,∗, Xiang Gao1 and Daniel Cremers1,2" -0c5afb209b647456e99ce42a6d9d177764f9a0dd,Recognizing action units for facial expression analysis,"Recognizing Action Units for -Facial Expression Analysis -Ying-li Tian, Member, IEEE, Takeo Kanade, Fellow, IEEE, and Jeffrey F. Cohn, Member, IEEE" 0c53ef79bb8e5ba4e6a8ebad6d453ecf3672926d,Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition,"SUBMITTED TO JOURNAL Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition @@ -6429,30 +5493,6 @@ Humayra Binte Ali1 and David M W Powers2 Computer Science, Engineering and Mathematics School, Flinders University, Australia Computer Science, Engineering and Mathematics School, Flinders University, Australia" 0c069a870367b54dd06d0da63b1e3a900a257298,Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs,"Author manuscript, published in ""ICANN 2011 - International Conference on Artificial Neural Networks (2011)""" -0c75c7c54eec85e962b1720755381cdca3f57dfb,Face Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Model,"Face Landmark Fitting via Optimized Part -Mixtures and Cascaded Deformable Model -Xiang Yu, Member, IEEE, Junzhou Huang, Member, IEEE, -Shaoting Zhang, Senior Member, IEEE, and Dimitris N. Metaxas, Fellow, IEEE" -0c3c83b7f030fe661548d362ddf33f37bb44043d,Crowd Motion Analysis Based on Social Force Graph with Streak Flow Attribute,"Hindawi Publishing Corporation -Journal of Electrical and Computer Engineering -Volume 2015, Article ID 492051, 12 pages -http://dx.doi.org/10.1155/2015/492051 -Research Article -Crowd Motion Analysis Based on Social Force Graph with -Streak Flow Attribute -Shaonian Huang,1,2 Dongjun Huang,1 and Mansoor Ahmed Khuhro1 -School of Information Science and Engineering, Central South University, Changsha 410083, China -School of Computer and Information Engineering, Hunan University of Commerce, Changsha 420005, China -Correspondence should be addressed to Shaonian Huang; -Received 28 July 2015; Accepted 27 September 2015 -Academic Editor: Stefano Basagni -Copyright © 2015 Shaonian Huang et al. This is an open access article distributed under the Creative Commons Attribution -License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly -ited. -Over the past decades, crowd management has attracted a great deal of attention in the area of video surveillance. Among various -tasks of video surveillance analysis, crowd motion analysis is the basis of numerous subsequent applications of surveillance video. -In this paper, a novel social force graph with streak flow attribute is proposed to capture the global spatiotemporal changes and -the local motion of crowd video. Crowd motion analysis is hereby implemented based on the characteristics of social force graph." 0cca85ee872ae6f6a4d305880b4461f152b1d808,Automatic framework for tracking honeybee's antennae and mouthparts from low framerate video,"AUTOMATIC FRAMEWORK FOR TRACKING HONEYBEE’S ANTENNAE AND MOUTHPARTS FROM LOW FRAMERATE VIDEO Minmin Shen⋆ @@ -6493,11 +5533,6 @@ UNSUPERVISED ROBOTIC SORTING: TOWARDS AUTONOMOUS DECISION MAKING ROBOTS Joris Gu´Erin, St´Ephane Thiery, Eric Nyiri And Olivier Gibaru Arts et M´etiers ParisTech, Lille, FRANCE" -0c36c988acc9ec239953ff1b3931799af388ef70,Face Detection Using Improved Faster RCNN,"Face Detection Using Improved Faster RCNN -Changzheng Zhang, Xiang Xu, Dandan Tu* -Huawei Cloud BU, China -{zhangzhangzheng, xuxiang12, -Figure1.Face detection results of FDNet1.0" 0cdac46ec42be2d81f64ec4ee53d88be43290d52,Temporal Poselets for Collective Activity Detection and Recognition,"Temporal Poselets for Collective Activity Detection and Recognition Moin Nabi Alessio Del Bue @@ -6521,36 +5556,12 @@ Switzerland Markus Gross ETH Zurich Switzerland" -0c377fcbc3bbd35386b6ed4768beda7b5111eec6,A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding,"A Unified Probabilistic Framework -for Spontaneous Facial Action Modeling -nd Understanding -Yan Tong, Member, IEEE, Jixu Chen, Student Member, IEEE, and Qiang Ji, Senior Member, IEEE" 71766bf224d5c74a0be6996b38d8885c2eed5a2c,Fooling Vision and Language Models Despite Localization and Attention Mechanism, 7135bed472d9a307d0612634d690c6306f5bce26,A Unified Framework for Concurrent Pedestrian and Cyclist Detection,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. A Unified Framework for Concurrent Pedestrian nd Cyclist Detection Xiaofei Li, Lingxi Li, Fabian Flohr, Jianqiang Wang, Hui Xiong, Morys Bernhard, Shuyue Pan, Dariu M. Gavrila, and Keqiang Li" -71c549df77b0fc2ebe0dc20d39d0a629a563bd7a,Texture Classification based on Local Features Using Dual Neighborhood Approach,"I.J. Image, Graphics and Signal Processing, 2017, 9, 59-67 -Published Online September 2017 in MECS (http://www.mecs-press.org/) -DOI: 10.5815/ijigsp.2017.09.07 -Texture Classification based on Local Features -Using Dual Neighborhood Approach -Associate Professor, Dept. of C.S.E, Sri Vasavi Institute of Engineering & Technology, pedana, Andhrapradesh, India -M. Srinivasa Rao -Email: -V.Vijaya Kumar -Professor, Anurag Group of Institutions (Autonomous), Hyderabad,Telanagana, India -Email: -MHM KrishnaPrasad -Professor of the Department of Computer Science and Engineering, University College of Engineering, Kakinada -(Autonomous), JNTUK, Andhra Pradesh, India -Email: -Received: 11 March 2017; Accepted: 05 July 2017; Published: 08 September 2017" -715216a92c338a3c35319026d38ed0da0c57d013,Integrated Pedestrian and Direction Classification Using a Random Decision Forest,"Integrated Pedestrian and Direction Classification -using a Random Decision Forest -Junli Tao and Reinhard Klette -University of Auckland, Auckland, New Zealand" 71529e3e51f2967e338124652e93a3d34eb6c5e1,Deep triplet-group network by exploiting symmetric and asymmetric information for person reidentification,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/6/2018 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use Deeptriplet-groupnetworkbyexploitingsymmetricandasymmetricinformationforpersonreidentificationBenzhiYuNingXuBenzhiYu,NingXu,“Deeptriplet-groupnetworkbyexploitingsymmetricandasymmetricinformationforpersonreidentification,”J.Electron.Imaging27(3),033033(2018),doi:10.1117/1.JEI.27.3.033033." @@ -6618,16 +5629,6 @@ Combinatorial Resampling Particle Filter: an Effective and Efficient Method for Articulated Object Tracking Christophe Gonzales · S´everine Dubuisson Received: date / Accepted: date" -71d3ed17c0642234a921bb45fcadd86520794941,Learning by Tracking: Siamese CNN for Robust Target Association,"Learning by tracking: Siamese CNN for robust target association -Laura Leal-Taix´e -TU M¨unchen -Munich, Germany -Cristian Canton-Ferrer -Microsoft -Redmond (WA), USA -Konrad Schindler -ETH Zurich -Zurich, Switzerland" 710ce8cf25f31df8547b888519b414187e989257,Amygdala activation predicts gaze toward fearful eyes.,"The Journal of Neuroscience, July 15, 2009 • 29(28):9123–9126 • 9123 Brief Communications Amygdala Activation Predicts Gaze toward Fearful Eyes @@ -6807,12 +5808,6 @@ Rana el Kaliouby MIT Media Lab Cambridge 02139, USA" -706600aa77ffb165097e4aeccb2b214dabdb8092,Combining Graph-based Dependency Features with Convolutional Neural Network for Answer Triggering,"Combining Graph-based Dependency Features with -Convolutional Neural Network for Answer Triggering -Deepak Gupta∗, Sarah Kohail†, Pushpak Bhattacharyya∗ -Indian Institute of Technology Patna, India -Universit¨at Hamburg, Germany -{deepak.pcs16," 70ce1a17f257320fc718d61964b21e7aeabd8cd5,Person re-identification with fusion of hand-crafted and deep pose-based body region features,"Person re-identification with fusion of hand-crafted and deep pose-based body region features Jubin Johnson1 @@ -6882,12 +5877,6 @@ Christina Katsimerou, Judith A. Redi, Ingrid Heynderickx Department of Intelligent Systems TU Delft Delft, The Netherlands" -70eb48e06d9d5edf84246b772673b6d44af4b3c6,ROBUST LDP BASED FACE DESCRIPTOR,"International Journal of Advances in Engineering & Technology, Mar. 2013. -©IJAET ISSN: 2231-1963 -ROBUST LDP BASED FACE DESCRIPTOR -Mahadeo D. Narlawar and Jaideep G. Rana -Department of Electronics Engineering, Jawaharlal Nehru College of Engineering, -Aurangabad-431004, Maharashtra, India" 70c38203d9bf5ff3a6f4639a1fb13dcaab233a61,Occlusion-robust Detector Trained with Occluded Pedestrians, 708355d319a88485fdbbea3524104982b8cf37c2,2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection,"D/3D Sensor Exploitation and Fusion for Enhanced Object Detection Jiejun Xu @@ -7054,21 +6043,6 @@ Higher Order Tensors Shuo Zhou1, Nguyen Xuan Vinh1, James Bailey1, Yunzhe Jia1, Ian Davidson2 Dept. of Computing and Information Systems, The University of Melbourne, Australia Dept. of Computer Science, University of California, Davis, USA" -7003d903d5e88351d649b90d378f3fc5f211282b,Facial Expression Recognition using Gabor Wavelet,"International Journal of Computer Applications (0975 – 8887) -Volume 68– No.23, April 2013 -Facial Expression Recognition using Gabor Wavelet -Mahesh Kumbhar -ENTC SVERI’S COE (Poly), -Pandharpur, -Solapur, India -Manasi Patil -ENTC SVERI’S COE, -Pandharpur, -Solapur, India -Ashish Jadhav -ENTC SVERI’S COE (Poly), -Pandharpur, -Solapur, India" 708a55d65568faf8158417ddfb79e728b2b28f86,3D Body Model Construction and Matching for Real Time People Re-Identification,"Eurographics Italian Chapter Conference (2010) E. Puppo, A. Brogni, and L. De Floriani (Editors) D Body Model Construction and Matching for Real Time @@ -7107,18 +6081,6 @@ L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de" -ff3a9545e73adea5275a1c7c71c5e3fe2e35a9a1,An Enhanced Feature Extraction Technique for Diagnosis of Pathological Problems in Mango Crop,"I.J. Image, Graphics and Signal Processing, 2017, 9, 28-39 -Published Online September 2017 in MECS (http://www.mecs-press.org/) -DOI: 10.5815/ijigsp.2017.09.04 -An Enhanced Feature Extraction Technique for -Diagnosis of Pathological Problems in Mango -S. B. Ullagaddi -Department of CSE VTU, Belagavi, Karnataka,India -Email: -Dr. S.Viswanadha Raju -Department of CSE JNTUHCEJ, Nachepally, Jagtail,Telangana,India -Email: -Received: 19 April 2017; Accepted: 13 May 2017; Published: 08 September 2017" ff01bc3f49130d436fca24b987b7e3beedfa404d,Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical Characteristics of a Face,"Article Fuzzy System-Based Face Detection Robust to In-Plane Rotation Based on Symmetrical @@ -7204,25 +6166,6 @@ Dissemination Level" ff1b253636c878f5b464a7623f36242327e6b485,Visual Place Recognition with Probabilistic Vertex Voting,"Visual Place Recognition with Probabilistic Vertex Voting Mathias Gehrig, Elena Stumm, Timo Hinzmann and Roland Siegwart Autonomous Systems Lab, ETH Zurich" -ff8315c1a0587563510195356c9153729b533c5b,Zapping Index:Using Smile to Measure Advertisement Zapping Likelihood,"Zapping Index:Using Smile to Measure -Advertisement Zapping Likelihood -Songfan Yang, Member, IEEE, Mehran Kafai, Member, IEEE, -Le An, Student Member, IEEE, and Bir Bhanu, Fellow, IEEE" -ffc06713436afc4e08bf4afa401ac52db674c5da,Neural Adaptive Content-aware Internet Video Delivery,"Neural Adaptive Content-aware -Internet Video Delivery -Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin, and Dongsu Han, KAIST -https://www.usenix.org/conference/osdi18/presentation/yeo -This paper is included in the Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’18).October 8–10, 2018 • Carlsbad, CA, USAISBN 978-1-931971-47-8Open access to the Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation is sponsored by USENIX." -ff4e8a8333e4ef506318160248c068250963806d,Gender recognition from face images using texture descriptors for human computer interaction,"www.jchps.com Journal of Chemical and Pharmaceutical Sciences -Gender recognition from face images using texture descriptors -ISSN: 0974-2115 -for human computer interaction -M.Annalakshmi1*, S.M.M.Roomi2, and S.S.Priya1 -&3Department of Electronics and Communication Engineering, Sethu Institute of Technology, Pulloor, Kariapatti -Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai 625 -– 626 115, Virudhunagar – District, Tamilnadu, India. -*Corresponding author: E-Mail: -015, Tamilnadu, India" ffeff854e7fcf5af663497be00c86537f7d9ed11,Face recognition in JPEG compressed domain: a novel coefficient selection approach,"SIViP (2015) 9:651–663 DOI 10.1007/s11760-013-0492-8 ORIGINAL PAPER @@ -7307,12 +6250,6 @@ Universitat Aut`onoma de Barcelona C. Alejandro Parraga Centre de Visi´o per Computador Universitat Aut`onoma de Barcelona" -ff7bc7a6d493e01ec8fa2b889bcaf6349101676e,Facial expression recognition with spatiotemporal local descriptors,"Facial expression recognition with spatiotemporal local -descriptors -Guoying Zhao, Matti Pietikäinen -Machine Vision Group, Infotech Oulu and Department of Electrical and -Information Engineering, P. O. Box 4500 FI-90014 University of Oulu, Finland -{gyzhao," ffae2fe85d3c93610ac6270db2ddf1f2f6779ea8,Learning pullback HMM distances for action recognition,"#**** ICCV 2011 Submission #****. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE. Learning pullback HMM distances for action recognition @@ -7336,10 +6273,6 @@ May 29, 2017" fff12919cf912347776b70aa76af7635280dc401,Are object detection assessment criteria ready for maritime computer vision?,"Are object detection assessment criteria ready for maritime computer vision? Dilip K. Prasad1,∗, Deepu Rajan2, and Chai Quek2" -fffefc1fb840da63e17428fd5de6e79feb726894,Fine-Grained Age Estimation in the wild with Attention LSTM Networks,"Fine-Grained Age Estimation in the wild with -Attention LSTM Networks -Ke Zhang, Member, IEEE, Na Liu, Xingfang Yuan, Student Member, IEEE, Xinyao Guo, Ce Gao, -nd Zhenbing Zhao Member, IEEE," ffcb92719dcd993dda292ca82d4585950ea22ac9,Handwritten Digit Recognition Using Convolutional Neural Networks,"ISSN(Online): 2320-9801 ISSN (Print): 2320-9798 International Journal of Innovative Research in Computer @@ -7395,10 +6328,6 @@ College of Computer Science at Chongqing University, Chongqing, 400044, P.R.C Eller College of Management at University of Arizona, Tucson, AZ, 85712, USA School of Software Engineering at Chongqing University, Chongqing, 400044, P.R.C dMinistry of Education Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, 400044, P.R.C" -ab87dfccb1818bdf0b41d732da1f9335b43b74ae,Structured Dictionary Learning for Classification,"SUBMITTED TO IEEE TRANSACTIONS ON SIGNAL PROCESSING -Structured Dictionary Learning for Classification -Yuanming Suo, Student Member, IEEE, Minh Dao, Student Member, IEEE, Umamahesh Srinivas, Student -Member, IEEE, Vishal Monga, Senior Member, IEEE, and Trac D. Tran, Fellow, IEEE" abeda55a7be0bbe25a25139fb9a3d823215d7536,Understanding Human-Centric Images: From Geometry to Fashion,"UNIVERSITATPOLITÈCNICADECATALUNYAProgramadeDoctorat:AUTOMÀTICA,ROBÒTICAIVISIÓTesiDoctoralUnderstandingHuman-CentricImages:FromGeometrytoFashionEdgarSimoSerraDirectors:FrancescMorenoNoguerCarmeTorrasMay2015" ab969cfae95f62d68c61830128b35786eb6c84a9,Contents 1 Introduction 2,"Contents1Introduction22Tracking:FundamentalNotions22.1Trackingbydetection........................................22.2TrackingusingFlow........................................22.3Flowmodelsfromkinematicmodels................................22.4TrackingwithProbability......................................23Tracking:Relationsbetween3Dand2D23.1KinematicInferencewithMultipleViews.............................23.2Liftingto3D............................................33.3MultipleModes,RandomizedSearchandHumanTracking....................34Tracking:DataAssociationforHumanTracking54.1DetectingHumans.........................................54.2TrackingbyMatchingRevisited..................................64.3Evaluation..............................................75MotionSynthesisandAnimation95.1Motioncapture...........................................95.2Footskate..............................................95.3ResolvingKinematicAmbiguitieswithExamples.........................95.4MotionSignalProcessing......................................95.5MotionGraphs...........................................95.6MotionPrimitives..........................................105.7EnrichingaMotionCollection...................................105.8MotionfromPhysicalConsiderations...............................105.8.1SimplifiedCharacters....................................105.8.2ModifiedPhysics......................................115.8.3ReducedDimensions....................................115.8.4ModifyingExistingMotions................................116DescribingActivities126.1WhatshouldanActivityRepresentationdo?............................126.1.1NecessaryPropertiesofanActivityRepresentation....................136.1.2WhatDataisAvailable?..................................136.2MiscellaneousMethods.......................................146.2.1ActivityRepresentationMethodsbasedaroundTemporalLogics.............146.2.2ActivityRepresentationMethodsbasedonTemplates...................146.3ActivityRepresentationusingHiddenMarkovModelsandFiniteStateRepresentations.....146.4TheSpeechAnalogy........................................146.4.1FiniteStateTransducers..................................156.4.2WhyshouldweCare?...................................156.5ActivityRecognitionMethodsbasedaroundHMM’s.......................166.6SignLanguageRecognition.....................................176.7Morerecentmaterial........................................171" abba22ed4713a5ee5fa91fcf7b8dde58a9b621db,Acquisition of a 3D Audio-Visual Corpus of Affective Speech,"BIWI Technical Report n. 270 @@ -7439,8 +6368,6 @@ of Saarland University Marcus Rohrbach, M.Sc. Saarbrücken March 2014" -ab41364a58b34844b281046c3d8678f7d537a97e,Learning Deep Hierarchical Visual Feature Coding,"Learning Deep Hierarchical Visual Feature Coding -Hanlin Goh, Nicolas Thome, Member, IEEE, Matthieu Cord, Member, IEEE, and Joo-Hwee Lim, Member, IEEE" ab450a7968555532d9ea79f81189c0d52f9c5f11,RGB-D Face Recognition in Surveillance Videos,"RGB-D Face Recognition in Surveillance Videos Anurag Chowdhury IIIT-D-MTech-CS-GEN-14-002 @@ -7581,11 +6508,6 @@ A Convex Max-Flow Approach to Distribution-Based Figure-Ground Separation , Shuo Li , and Yuri Boykov Kumaradevan Punithakumar" -ab302d79e419348499acbda4a627b67dec89936f,Robust Correlated and Individual Component Analysis,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JANUARY 2014 -Robust Correlated and Individual Component -Analysis -Yannis Panagakis, Member, IEEE, Mihalis A. Nicolaou, Member, IEEE, -Stefanos Zafeiriou, Member, IEEE, and Maja Pantic, Fellow, IEEE" abc66504927075c5878dc6b0d70f2d4b009a9c9a,Damaged Building Detection in the crisis areas using Image Processing Tools, ab8af4cb5243544e38852bb670aafe5a2fd9b3ec,Real-Time Human Detection Using Relational Depth Similarity Features,"Real-Time Human Detection using Relational Depth Similarity Features @@ -7593,9 +6515,6 @@ Sho Ikemura, Hironobu Fujiyoshi Dept. of Computer Science, Chubu University. Matsumoto 1200, Kasugai, Aichi, 487-8501 Japan. http://www.vision.cs.chubu.ac.jp" -ab0dd486ff270c3a5ec877aecad7f20b2ce3f670,A Two Phase Approach for Pedestrian Detection,"A Two Phase Approach for Pedestrian Detection -Soonmin Hwang, Tae-Hyun Oh, In So Kweon -Robotics and Computer Vision Lab., KAIST, Korea" ab6776f500ed1ab23b7789599f3a6153cdac84f7,A Survey on Various Facial Expression Techniques,"International Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015 1212 ISSN 2229-5518 A Survey on Various Facial Expression @@ -7635,9 +6554,6 @@ d’explications possibles d’une image donnée lorsque les connaissances, expr logique de description, comportent des concepts décrivant les objets mais aussi les relations spatiales entre ces objets. La meilleure explication est sélectionnée en exploitant les domaines oncrets pour évaluer le degré de satisfaction des relations spatiales entre les objets." -ab43c43d5eb2c5bee6de1b25c8bcb8068ab8bcd2,Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss,"Deep Class-Wise Hashing: -Semantics-Preserving Hashing via Class-wise Loss -Xuefei Zhe, Shifeng Chen, Member, IEEE, and Hong Yan, Fellow, IEEE" abb4b8f9df14f7b15aa43920d0329eccada33b97,LBP Yardımıyla Görüntüdeki Kişinin Yaşının Bulunması,"C¸ ankaya University Journal of Science and Engineering Volume 8 (2011), No. 1, 27–41 LBP Yardımıyla G¨or¨unt¨udeki Ki¸sinin Ya¸sının @@ -7658,16 +6574,6 @@ larının birle¸stirilmesiyle, y¨uz i¸cin verimli bir vekt¨orel g¨osterim teme sunulan her yeni y¨uz i¸cin b¨olgesel LBP histogramı ¨uretilmekte ve ya¸s sınıflarına it LBP histogramlarıyla kar¸sıla¸stırılarak sınıflandırılmaktadır. Sınıflandırmada minimum uzaklık (minimum distance), en yakın kom¸suluk (nearest neighbor) ve k-en yakın kom¸suluk" -abf659847660763c94b44c0baaf9198046a11845,Video Image Object Tracking Algorithm based on Improved Principal Component Analysis,"Video Image Object Tracking Algorithm based -on Improved Principal Component Analysis -. Engineering Technology Research Center of Optoelectronic Technology Appliance, AnHui Tongling Anhui 244000, -. Hefei University of Technology, Hefei Anhui 230009, China -China -Wang Liping 1, 2 -dopts -DPCA -lgorithm -to reduce dimension of object" abb1289cfdc4c23d72d0680c3ec100eae74d4fdb,PatchMatch : A Fast Randomized Matching Algorithm with Application to Image and Video,"PatchMatch: A Fast Randomized Matching Algorithm with Application to Image and Video Connelly Barnes @@ -7756,20 +6662,10 @@ Merantix GmbH Luc Van Gool D-ITET, ETH Zurich ESAT, KU Leuven" -ae5983048e59a339c77fee89e9279a4a787ba985,Part-Based Deep Hashing for Large-Scale Person Re-Identification,"Part-based Deep Hashing for Large-scale -Person Re-identification∗ -Fuqing Zhu, Xiangwei Kong, Member, IEEE, Liang Zheng, Member, IEEE, Haiyan Fu, Member, IEEE, -Qi Tian, Fellow, IEEE," aeff403079022683b233decda556a6aee3225065,DeepFace: Face Generation using Deep Learning,"DeepFace: Face Generation using Deep Learning Hardie Cate Fahim Dalvi Zeshan Hussain" -ae33dc04adcb83a486517c48078cdd4af7dcc7c7,The adaptative local Hausdorff-distance map as a new dissimilarity measure,"The adaptative local Hausdorff-distance map -s a new dissimilarity measure -´Etienne Baudrier∗, Gilles Millon, Fr´ed´eric Nicolier, Su Ruan -Centre de Recherche en STIC (CReSTIC) -IUT de Troyes, 9, rue de Qu´ebec, 10026 TROYES CEDEX, FRANCE -{e.baudrier, g.millon, f.nicolier," ae2cf545565c157813798910401e1da5dc8a6199,Cascade of Boolean detector combinations,"Mahkonen et al. EURASIP Journal on Image and Video Processing (2018) 2018:61 https://doi.org/10.1186/s13640-018-0303-9 @@ -7952,18 +6848,6 @@ Butler, Joseph G., ""Automated Fingertip Detection"" (2012). All Theses and Diss https://scholarsarchive.byu.edu/etd/3164 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in All Theses and Dissertations by an uthorized administrator of BYU ScholarsArchive. For more information, please contact" -ae85c822c6aec8b0f67762c625a73a5d08f5060d,Retrieving Similar Styles to Parse Clothing,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication. -The final version of record is available at http://dx.doi.org/10.1109/TPAMI.2014.2353624 -IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. M, NO. N, MONTH YEAR -Retrieving Similar Styles to Parse Clothing -Kota Yamaguchi, Member, IEEE, M. Hadi Kiapour, Student Member, IEEE, -Luis E. Ortiz, and Tamara L. Berg, Member, IEEE" -aee90db1f66b77113b0a62701deb01ca96b6d9e6,"Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition","JUNE 2009 -Discriminant Saliency, the Detection -of Suspicious Coincidences, -nd Applications to Visual Recognition -Dashan Gao, Member, IEEE, Sunhyoung Han, Student Member, IEEE, and -Nuno Vasconcelos, Senior Member, IEEE" ae89b7748d25878c4dc17bdaa39dd63e9d442a0d,On evaluating face tracks in movies,"On evaluating face tracks in movies Alexey Ozerov, Jean-Ronan Vigouroux, Louis Chevallier, Patrick Pérez To cite this version: @@ -7984,9 +6868,6 @@ destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires" -ae299fad29ba650fbf1e14c7c95ba8ae32e095f0,Person Re-Identification by Robust Canonical Correlation Analysis,"Person Re-Identification by Robust -Canonical Correlation Analysis -Le An, Songfan Yang, Member, IEEE, and Bir Bhanu, Fellow, IEEE" ae0322119c8d70ba98f32aeb205393dad8dd287b,OxIOD: The Dataset for Deep Inertial Odometry,"OxIOD: The Dataset for Deep Inertial Odometry Changhao Chen∗, Peijun Zhao∗, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni" ae8d5be3caea59a21221f02ef04d49a86cb80191,Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks,"Published as a conference paper at ICLR 2018 @@ -8039,10 +6920,6 @@ Prof Frédéric Jurie, rapporteur" 07c6744e25ed01967e448a397f5d7e9d540345c3,Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval,"Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval Yang Wang, Xuemin Lin, Lin Wu, Wenjie Zhang" -073bcb3b1aed5cdf7bff4e9fe46a21175f42c877,"Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly","Zero-Shot Learning - A Comprehensive -Evaluation of the Good, the Bad and the Ugly -Yongqin Xian, Student Member, IEEE, Christoph H. Lampert, -Bernt Schiele, Fellow, IEEE, and Zeynep Akata, Member, IEEE" 074061bc12af98e3c9fd7650452d896b2c03b3ac,A FPGA Implementation of Neural / Wavelet Face Detection System,"Australian Journal of Basic and Applied Sciences, 4(3): 379-388, 2010 ISSN 1991-8178 © 2010, INSInet Publication @@ -8217,26 +7094,6 @@ Facebook AI Research" Nathan Jones Formerly: Texas A&M University Currently: The Software Group" -07a7484a9cc566619ff9a01eb71bfa30ea9e4a06,Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder,"Measurement of exceptional motion in VR video contents for -VR sickness assessment using deep convolutional autoencoder -Hak Gu Kim -Image and Video System Lab., -Electrical Engineering, KAIST, -South Korea, -Wissam J. Baddar -Image and Video System Lab., -Electrical Engineering, KAIST, -South Korea, -Heoun-taek Lim -Image and Video System Lab., -Electrical Engineering, KAIST, -South Korea, -Hyunwook Jeong -Image and Video System Lab., -Electrical Engineering, KAIST, -South Korea, -Yong Man Ro* -Image and Video System Lab.," 0726152a1c1a5723ac34d54abec0dc8d4659598e,Realtime Image Matching for Vision Based Car Navigation with Built-in Sensory Data,"ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-3/W2, 2013 ISA13 - The ISPRS Workshop on Image Sequence Analysis 2013, 11 November 2013, Antalya, Turkey" 073c5c27f26c9d174e2ee060b27a090457e3f774,Backprop KF: Learning Discriminative Deterministic State Estimators,"Backprop KF: Learning Discriminative Deterministic @@ -8312,12 +7169,6 @@ L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de" -0730d5f4408ab3c3bcc316ecbbfdc61cdbf7d813,Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video,"Object-centric Auto-encoders and Dummy Anomalies -for Abnormal Event Detection in Video -Radu Tudor Ionescu1,2,3, Fahad Shahbaz Khan1, Mariana-Iuliana Georgescu2,3, Ling Shao1 -Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE -University of Bucharest, 14 Academiei, Bucharest, Romania -SecurifAI, 21 Mircea Vod˘a, Bucharest, Romania" 07ca470ed3be3a476b6fc1917bbbf4182846d1db,Transforming sensor data to the image domain for deep learning — An application to footstep detection,"Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection @@ -8329,9 +7180,6 @@ TU Kaiserslautern, Germany DFKI, Kaiserslautern, Germany M onit ki.de, r.ch ki.de, P ki.de," -07625af8d73142e239b5cdccb1dd226648e4b0d4,Learning Scene-Independent Group Descriptors for Crowd Understanding,"Learning Scene-Independent Group Descriptors for -Crowd Understanding -Jing Shao, Chen Change Loy, Member, IEEE, and Xiaogang Wang, Member, IEEE" 072fd0b8d471f183da0ca9880379b3bb29031b6a,Image-to-Image Translation with Conditional Adversarial Networks,"Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu @@ -8381,26 +7229,6 @@ Anonymous Author(s) Affiliation Address email" -f0304ea9943e96e645b8702c2810cca517439465,Automatic Diagnosis of Diabetic Retinopathy by Hybrid Multilayer Feed Forward Neural Network Ms,"ISSN: 2278 – 7798 -International Journal of Science, Engineering and Technology Research (IJSETR) -Volume 2, Issue 9, September 2013 -Automatic Diagnosis of Diabetic Retinopathy by -Hybrid Multilayer Feed Forward Neural Network -Ms. Rupa V. Lichode -M. Tech ( Computer Science and Engineering ) -IVth Semester -R.C.E.R.T. Chandrapur -Abtract-- For a particularly long time, Automatic diagnosis of -diabetic retinopathy from digital fundus images has been an active -research topic in the medical image processing community. This -paper describes what is the diagnosis of Diabetic Retinopathy by -various image processing techniques and how proposed work can be -help to enhace it further. In the beginning section introduction -provides the terminology related to DR like fundus images with -different types of stages in Diabetic Retinopathy as NPDR( Non -Proliferative DR) and PDR( Proliferative DR) levels. Further -sections describes different features extraction of Fundus images like -exudates, microaneurysms, optic Disc, macula, blood vessels, texture" f05358fb80283f0f242215d459367bddce810cd0,An Efficient Video to Video Face Recognition using Neural Networks,"An Efficient Video to Video Face Recognition using Neural Networks {tag} {/tag} International Journal of Computer Applications @@ -8434,17 +7262,6 @@ Clayton Mellina: and David A. Shamma§‹ f07956d0031ff046c5c719296f7916d7897fdd21,A Flexible Real-Time Control System for Autonomous Vehicles,"A Flexible Real-Time Control System for Autonomous Vehicles. Johannes Meyer, Armin Strobel Institute of Flight Systems and Automatic Control, Technische Universität Darmstadt, Germany 1" -f0a0f341fa1f91ee58a5020297bea02f8863cb26,Learning Deep Semantic Embeddings for Cross-Modal Retrieval,"Proceedings of Machine Learning Research 77:471–486, 2017 -ACML 2017 -Learning Deep Semantic Embeddings for Cross-Modal -Retrieval -Cuicui Kang -No.89A Minzhuang Road, Beijing, China -Shengcai Liao∗ -No.95 Zhuangguancun East Road, Beijing, China -Zhen Li, Zigang Cao, Gang Xiong -No.89A Minzhuang Road, Beijing, China -Editors: Yung-Kyun Noh and Min-Ling Zhang" f040e4fcedca0c07788ecb6e92ad246b9c1697a9,REAL-TIME MULTIPLE HEAD TRACKING USING TEXTURE AND COLOUR CUES,"REAL-TIME MULTIPLE HEAD TRACKING USING TEXTURE AND COLOUR CUES Vasil Khalidov Jean-Marc Odobez @@ -8485,9 +7302,6 @@ Masaki Saito∗ Eiichi Matsumoto∗ Preferred Networks inc., Japan {msaito," -f08266cea120e8aa091983da5269ee5e35febe75,Semantic Diversity versus Visual Diversity in Visual Dictionaries,"Semantic Diversity versus Visual Diversity -in Visual Dictionaries -Ot´avio A. B. Penatti, Sandra Avila, Member, IEEE, Eduardo Valle, Ricardo da S. Torres, Member, IEEE" f0cc615b14c97482faa9c47eb855303c71ff03a7,Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes,"SIViP DOI 10.1007/s11760-015-0817-x ORIGINAL PAPER @@ -8499,12 +7313,6 @@ Received: 4 June 2015 / Revised: 19 August 2015 / Accepted: 10 September 2015 f0b77702c8f2249ee1f48e51ff9b86faffe177c9,Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation,"Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation Ngan Le 1 Kha Gia Quach 1 2 Khoa Luu 1 Marios Savvides 1 Chenchen Zhu 1" -f0d29be1a93158d320bef285442f63bb090f6c31,An Online and Flexible Multi-Object Tracking Framework using Long Short-Term Memory,"An Online and Flexible Multi-Object Tracking Framework using Long -Short-Term Memory -Xingyu Wan, Jinjun Wang, Sanping Zhou -Xi’an Jiaotong University -Institute of Artificial Intelligence and Robotics -8 West Xianning Road, Xi’an, Shaanxi, China, 710049" f0e609a2e11a093273c0d8e3321e7b20eaca46e9,Closing the gap towards end-to-end autonomous vehicle system,"Closing the gap towards end-to-end autonomous vehicle system Yonatan Glassner∗, Liran Gispan∗, Ariel Ayash∗, and Tal Furman Shohet∗ @@ -8562,10 +7370,6 @@ Copyright © 2014 by the American Physiological Society." f0dd265dfbe9ffe86ca56ba053335626720059a3,CNN Fixations: An unraveling approach to visualize the discriminative image regions,"CNN Fixations: An unraveling approach to visualize the discriminative image regions Konda Reddy Mopuri*, Utsav Garg*, R. Venkatesh Babu, Senior Member, IEEE" -f0c99016daf4ff2dcc2cde13822714155435128e,No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs,"No Blind Spots: Full-Surround Multi-Object -Tracking for Autonomous Vehicles using -Cameras & LiDARs -Akshay Rangesh, Member, IEEE, and Mohan M. Trivedi, Fellow, IEEE" f074f216e6eecd1be64398fdf1e06927b94c8df8,Classifying Faces with Non-negative Matrix Factorization,"Classifying Faces with Non-negative Matrix Factorization David Guillamet , Jordi Vitri`a @@ -8573,18 +7377,6 @@ Computer Vision Center, Dept. Inform`atica Universitat Aut`onoma de Barcelona 08193 Bellaterra, Barcelona, Spain" f00e51ec0e3894bdb2977a01824f37b15bb82c6e,A Gaussian Approximation of Feature Space for Fast Image Similarity,"Computer Science and ArtificialIntelligence LaboratoryTechnical Reportmassachusetts institute of technology, cambridge, ma 02139 usa — www.csail.mit.eduMIT-CSAIL-TR-2012-032October 1, 2012A Gaussian Approximation of Feature Space for Fast Image Similarity Michael Gharbi, Tomasz Malisiewicz, Sylvain Paris, and FrØdo Durand" -f0aac566e3d2c06759b8f4f45a270d5af93b9705,Ear Structure Feature Extraction Based on Multi-scale Hessian Matrix,"International Journal of Signal Processing, Image Processing and Pattern Recognition -Vol.9, No.5 (2016), pp.159-172 -http://dx.doi.org/10.14257/ijsip.2016.9.5.14 -Ear Structure Feature Extraction Based on Multi-scale Hessian -Matrix -,Ban Xiaojuan*1, Wang Guosheng3 and Tian Ying2 -Ma Chi1,2,3 -School of Computer & Communication Engineering, University of Science and -College of Software, University of Science and Technology LiaoNing, Anshan, -Technology Beijing, Beijing, China -Beihai Yinhe Industry Investment Co.,Ltd., Beihai, China -China" cfffae38fe34e29d47e6deccfd259788176dc213,Training bookcowgrass flower ? ? water sky doggrass water boat water chair road ? cow grass chair grass dog building ?,"TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. X, NO. X, DECEMBER 2012 Matrix Completion for Weakly-supervised Multi-label Image Classification @@ -8623,14 +7415,6 @@ Linear Discriminant Analysis vs. Logistic Regression Benjamin Quost · Thierry Denœux · Shoumei Li Received: date / Accepted: date" -cfd933f71f4a69625390819b7645598867900eab,Person Authentication Using Face And Palm Vein : A Survey Of Recognition And Fusion Techniques,"INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCEMENTS AND EMERGING ENGINEERING RESEARCH, VOL 3, ISSUE 03 55 -ISSN 2347-4289 -Person Authentication Using Face And Palm Vein: -A Survey Of Recognition And Fusion Techniques -Preethi M, Dhanashree Vaidya, Dr. S. Kar, Dr. A. M. Sapkal, Dr. Madhuri A. Joshi -Dept. of Electronics and Telecommunication, College of Engineering, Pune, India, -Image Processing & Machine Vision Section, Electronics & Instrumentation Services Division, BARC -Email:" cfbfcf538c1c9bbf170a524995098fe4aacde374,Symmetric generalized low rank approximations of matrices,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE ICASSP 2012" cfbb2d32586b58f5681e459afd236380acd86e28,Improving alignment of faces for recognition,"Improving Alignment of Faces for Recognition @@ -8642,14 +7426,6 @@ D´epartement de g´enie informatique et g´enie logiciel ´Ecole Polytechnique de Montr´eal, Qu´ebec, Canada Qu´ebec, Canada" -cf7e6d057e6ef01904770be3dfc9da29f9c1e197,An Adaptive Detection Method of Multiple Faces,"TELKOMNIKA Indonesian Journal of Electrical Engineering -Vol.12, No.4, April 2014, pp. 2743 ~ 2752 -DOI: http://dx.doi.org/10.11591/telkomnika.v12i4.4368 -An Adaptive Detection Method of Multiple Faces - 2743 -China West Normal University, No. 1 Shida Road, Computer School, Nanchong, China -*Corresponding author, e-mail: -Wei Li" cf40951840bfa9b8721d722e9422c73e3a6fbf59,Real-time Appearance-based Person Re-identification Over Multiple KinectTM Cameras,"Real-time appearance-based person re-identification over multiple KinectTMcameras Riccardo Satta, Federico Pala, Giorgio Fumera and Fabio Roli @@ -8726,11 +7502,6 @@ Université de Sherbrooke, 2MILA, Université de Montréal, 3Rice University, 4I {simon.brodeur, luca.celotti, {florian.golemo, {ankesh.anand," -cfc9056155bf32648448b588a752f694b4e8249c,Combining Contrast Information and Local Binary Patterns for Gender Classification,"Combining Contrast Information and Local -Binary Patterns for Gender Classification -Juha Ylioinas, Abdenour Hadid, and Matti Pietik¨ainen -Machine Vision Group, PO Box 4500, -FI-90014 University of Oulu, Finland" cf6527d8d42a9958eea7d8d1f90ea4c86d591408,Convolutional Neural Network-Based Classification of Driver’s Emotion during Aggressive and Smooth Driving Using Multi-Modal Camera Sensors,"Article Convolutional Neural Network-Based Classification of Driver’s Emotion during Aggressive and Smooth @@ -8824,13 +7595,6 @@ If not Barney, then what would be an example of a computa- tional system that has emotions? I am not a philosopher, and this paper will not be a discussion of the meaning of this question in ny philosophical sense. However, as an engineer I am interested" -cfb3c1c395b146021a70ae9d5cf7c76854108a86,S-Log: Skin based Log-Gabor Approach for Face Detection in Video,"S-Log: Skin based Log-Gabor Approach for Face Detection in Video -Rajeshwari J1, K. Karibasappa2, Gopalkrishna M.T3 -Dayanada Sagar College of Engineering -Oxford College of Engineering -K.S. School of Engineering and Management -Computer Science and Engineering Department -Bangalore, India" cfc22c35ad191cf9d70f4a3655840748b0e1322c,Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras,"Real-Time Dense Mapping for Self-Driving Vehicles using Fisheye Cameras Zhaopeng Cui1, Lionel Heng2, Ye Chuan Yeo2, Andreas Geiger3, Marc Pollefeys1,4, and Torsten Sattler1" @@ -8860,26 +7624,6 @@ Herzliya, Israel 4672560 Eduard Oks Amazon Lab 126 Herzliya, Israel 4672560" -75f0d2d8aae00da73e4122c712ad230cfebe7729,AMassively Parallel Face Recognition System,"Hindawi Publishing Corporation -EURASIP Journal on Embedded Systems -Volume 2007, Article ID 72316, 13 pages -doi:10.1155/2007/72316 -Research Article -A Massively Parallel Face Recognition System -Olli Lahdenoja,1, 2 Mika Laiho,1 Janne Maunu,1, 2 and Ari Paasio1 -Department of Information Technology, University of Turku, Joukahaisenkatu 3-5, 20014 Turku, Finland -Turku Centre for Computer Science (TUCS), University of Turku, Joukahaisenkatu 3-5 B, 6th floor, 20520 Turku, Finland -Received 12 April 2006; Revised 31 August 2006; Accepted 5 October 2006 -Recommended by Heinrich Garn -We present methods for processing the LBPs (local binary patterns) with a massively parallel hardware, especially with CNN-UM -(cellular nonlinear network-universal machine). In particular, we present a framework for implementing a massively parallel face -recognition system, including a dedicated highly accurate algorithm suitable for various types of platforms (e.g., CNN-UM and -digital FPGA). We study in detail a dedicated mixed-mode implementation of the algorithm and estimate its implementation cost -in the view of its performance and accuracy restrictions. -Copyright © 2007 Olli Lahdenoja et al. This is an open access article distributed under the Creative Commons Attribution License, -which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -INTRODUCTION -Face recognition is easy for humans but extremely dif‌f‌icult" 75522dfc1610c8765185c4344d97db33e1af5047,3D Human Body-Part Tracking and Action Classification Using A Hierarchical Body Model,"RASKIN, RUDZSKY, RIVLIN: BODY-PART TRACKING AND ACTION CLASSIFICATION D Human Body-Part Tracking and Action Classification Using a Hierarchical Body @@ -8890,10 +7634,6 @@ Ehud Rivlin Computer Science Department Technion -Israel Institute of Technology Haifa, Israel, 3200" -75d571d53eb250e222d66461fa2400956b40eaa9,What Makes a Photograph Memorable?,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. -What makes a photograph memorable? -Phillip Isola, Jianxiong Xiao, Member, IEEE, Devi Parikh, Member, IEEE, Antonio Torralba, Member, IEEE, -nd Aude Oliva" 758d7e1be64cc668c59ef33ba8882c8597406e53,"AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild","IEEE TRANSACTIONS ON AFFECTIVE COMPUTING AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild @@ -8939,9 +7679,6 @@ Trento, Italy Universit`a degli Studi di Genova, Genova, Italy Site Spa, Bologna, Italy" -754fa133a250d824c50b4c3b9c73975059954f41,Siamese Learning Visual Tracking: A Survey.,"Siamese Learning Visual Tracking: A Survey -Roman Pflugfelder, Member, IEEE -(Draft Article)" 759a3b3821d9f0e08e0b0a62c8b693230afc3f8d,Attribute and simile classifiers for face verification,"Attribute and Simile Classifiers for Face Verification Neeraj Kumar Alexander C. Berg @@ -8988,18 +7725,6 @@ facial range images from 130 persons with normal facial expressions. The processing time of the recognition system is etter than 3LMS. Moreover, it is 6 times faster without any hange of recognition rate. Memory size of this experimental was" -7553fba5c7f73098524fbb58ca534a65f08e91e7,A Practical Approach for Determination of Human Gender & Age,"Harpreet Kaur Bhatia et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.6, June- 2014, pg. 816-824 -Available Online at www.ijcsmc.com -International Journal of Computer Science and Mobile Computing -A Monthly Journal of Computer Science and Information Technology -ISSN 2320–088X -IJCSMC, Vol. 3, Issue. 6, June 2014, pg.816 – 824 -RESEARCH ARTICLE -A Practical Approach for Determination -of Human Gender & Age -Harpreet Kaur Bhatia1, Ahsan Hussain2 -CSE Dept. & CSVTU University, India -CSE Dept. & CSVTU University, India" 75827a2021ac2ad2256144b2a2fe301948d39b51,AI Benchmark: Running Deep Neural Networks on Android Smartphones,"AI Benchmark: Running Deep Neural Networks on Android Smartphones Andrey Ignatov @@ -9056,14 +7781,6 @@ Jianan Li Xiaodan Liang Yunchao Wei Tingfa Xu Jiashi Feng Shuicheng Yan" -75a92d92ee59555c847973a7422d7356514cde2d,Exploiting Multiple Detections for Person Re-Identification,"Article -Exploiting Multiple Detections for -Person Re-Identification -Amran Bhuiyan *, Alessandro Perina and Vittorio Murino -Pattern Analysis and Computer Vision (PAVIS), Istituto Italiano di Tecnologia, Via Morego 30, -6163 Genova, Italy; (A.P.); (V.M.) -* Correspondence: Tel.: +39-331-803-7176 -Received: 18 November 2017; Accepted: 11 January 2018; Published: 23 January 2018" 75879ab7a77318bbe506cb9df309d99205862f6c,Analysis of emotion recognition from facial expressions using spatial and transform domain methods,"Analysis Of Emotion Recognition From Facial Expressions Using Spatial And Transform Domain Methods @@ -9122,21 +7839,11 @@ August 2, 2017" 978-1-4799-2893-4/14/$31.00 ©2014 IEEE Long Xu1, Chen Gong1, Jie Yang1(cid:3), Qiang Wu2, Lixiu Yao1 . INTRODUCTION" -75cf72819b8741777a961157f43d994238219f5e,Crowd Behavior Detection for Abnormal Conditions,"International Journal of Computer Systems (ISSN: 2394-1065), Volume 03– Issue 06, June, 2016 -Available at http://www.ijcsonline.com/ -Crowd Behavior Detection for Abnormal Conditions -Aniket A. Patil, Prof. S. A. Shinde -Department of Computer Engineering, -Savitribai Phule Pune University, Pune, India" 75e4efae6de6d1ac787a6ca381fb49381fcb062b,Hierarchical Representation Learning for Kinship Verification,"IEEE TRANSACTIONS ON IMAGE PROCESSING Hierarchical Representation Learning for Kinship Verification Naman Kohli, Student Member, IEEE, Mayank Vatsa, Senior Member, IEEE, Richa Singh, Senior Member, IEEE, Afzel Noore, Senior Member, IEEE, and Angshul Majumdar, Senior Member, IEEE" -7557e81c1189f0ef9643519e0664d60baed51721,Robust and Efficient Graph Correspondence Transfer for Person Re-identification,"DRAFT -Transfer for Person Re-identification -Qin Zhou, Heng Fan, Hua Yang, Member, IEEE, Hang Su, Member, IEEE, Shibao Zheng, Member, IEEE, -Shuang Wu, and Haibin Ling, Member, IEEE" 75cb21fa931e957941c0237a1030aa36209bae36,GAUSSIAN PROCESS FOR ACTIVITY MODELING AND ANOMALY DETECTION,"GAUSSIAN PROCESS FOR ACTIVITY MODELING AND ANOMALY DETECTION Wentong Liaoa, Bodo Rosenhahna, Michael Ying Yangb Institute for Information Processing, Leibniz University Hannover, Germany @@ -9182,16 +7889,6 @@ Zenilton Kleber Gonçalves do Patrocínio Júnior 2 Silvio Jamil Ferzoli Guimarães 2" cc5a62bd7c45a9ca479506acb572566331354fa3,Eye localization through multiscale sparse dictionaries,"Eye Localization through Multiscale Sparse Dictionaries Fei Yang, Junzhou Huang, Peng Yang and Dimitris Metaxas" -ccf5852bfb55e1fa6760f76139ab44dab89f2a17,"Recognize Faces across MultiView Videos and under Varying Illumination , Facial Expressions","Recognize Faces across Multi-View Videos and -under Varying Illumination, Facial Expressions -Research Scholar, Dept. Electronics & Communication Engineering, -Mr. Steven Lawrence Fernandes1 -Karunya University, -Coimbatore, Tamil Nadu, India -Professor, Dept. Electronics & Communication Engineering, -Dr. G. Josemin Bala2 -Karunya University, -Coimbatore, Tamil Nadu, India" cc09cf5831fcae802ed2905a61ab502956655bbe,Shape-based instance detection under arbitrary viewpoint,"Shape-based instance detection under arbitrary viewpoint Edward Hsiao and Martial Hebert" @@ -9213,15 +7910,6 @@ we present ways to apply these techniques to Database Cinema and other aspects of film and video creation. PROJECT DATE 2014 URL http://misharabinovich.com/soyummy.html" -cc8e378fd05152a81c2810f682a78c5057c8a735,Expression Invariant Face Recognition System based on Topographic Independent Component Analysis and Inner Product Classifier,"International Journal of Computer Sciences and Engineering Open Access -Research Paper Volume-5, Issue-12 E-ISSN: 2347-2693 -Expression Invariant Face Recognition System based on Topographic -Independent Component Analysis and Inner Product Classifier -Aruna Bhat -Department of Electrical Engineering, IIT Delhi, New Delhi, India -*Corresponding Author: -Available online at: www.ijcseonline.org -Received: 07/Nov/2017, Revised: 22/Nov/2017, Accepted: 14/Dec/2017, Published: 31/Dec/2017" cc91001f9d299ad70deb6453d55b2c0b967f8c0d,Performance Enhancement of Face Recognition in Smart TV Using Symmetrical Fuzzy-Based Quality Assessment,"OPEN ACCESS ISSN 2073-8994 Article @@ -9267,14 +7955,6 @@ ny patent, copyright, trademark or other property or proprietary rights. UWE accepts no liability for any infringement of intellectual property rights in any material deposited but will remove such material from public view pend- ing investigation in the event of an allegation of any such infringement." -ccf43c62e4bf76b6a48ff588ef7ed51e87ddf50b,Nutraceuticals and Cosmeceuticals for Human Beings – An Overview,"American Journal of Food Science and Health -Vol. 2, No. 2, 2016, pp. 7-17 -http://www.aiscience.org/journal/ajfsh -ISSN: 2381-7216 (Print); ISSN: 2381-7224 (Online) -Nutraceuticals and Cosmeceuticals for Human -Beings–An Overview -R. Ramasubramania Raja* -Department of Pharmacognosy, Narayana Pharmacy College, Nellore, India" cca228b47a603a9b9e2a1e3a1b278b35612d078d,Randomized Face Recognition on Partially Occluded Images,"Randomized Face Recognition on Partially Occluded Images Ariel Morelli Andres, Sebastian Padovani, Mariano Tepper, Marta Mejail, and @@ -9285,18 +7965,6 @@ cc9f473584c1a7f224b42d4a3a3ea2864173cc28,Hephaestus: Data Reuse for Accelerating Accelerating Scientific Discovery Jennie Duggan Northwestern EECS" -cc5d91b20c8769d1f040ff9a5166f76cc19d2d55,Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces,"Self-supervised learning of visual features through embedding images into text -topic spaces -Lluis Gomez∗ -Computer Vision Center, UAB, Spain -Marc¸al Rusi˜nol -Computer Vision Center, UAB, Spain -Yash Patel∗ -CVIT, KCIS, IIIT Hyderabad, India -Dimosthenis Karatzas -Computer Vision Center, UAB, Spain -C.V. Jawahar -CVIT, KCIS, IIIT Hyderabad, India" cca198ae698e7956992f2fb326c04965b2964a18,Learning Pain from Emotion: Transferred HoT Data Representation for Pain Intensity Estimation,"Learning Pain from Emotion: Transferred HoT Data Representation for Pain Intensity Estimation @@ -9311,15 +7979,6 @@ Yuejun Guo, Qing Xu(cid:3), Yu Yang, Sheng Liang, Yu Liu, Mateu Sbert" cc96eab1e55e771e417b758119ce5d7ef1722b43,An Empirical Study of Recent Face Alignment Methods,"An Empirical Study of Recent Face Alignment Methods Heng Yang, Xuhui Jia, Chen Change Loy and Peter Robinson" -ccfcbf0eda6df876f0170bdb4d7b4ab4e7676f18,A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JUNE 2011 -A Dynamic Appearance Descriptor Approach to -Facial Actions Temporal Modelling -Bihan Jiang, Student Member, IEEE, Michel Valstar, Member, IEEE, Brais Martinez, Member, IEEE, and -Maja Pantic, Fellow, IEEE" -cc2df3a03ee731478ed48838c284ad4548563308,Towards a Better Metric for Evaluating Question Generation Systems,"Towards a Better Metric for Evaluating Question Generation Systems -Preksha Nema†‡ Mitesh M. Khapra†‡ -IIT Madras, India -Robert Bosch Center for Data Science and Artificial Intelligence, IIT Madras" cc3e1a6376928138dff5582b7a56d40cfb3b7367,Cost-Effective Features for Reidentification in Camera Networks,"Cost-effective features for re-identification in camera networks Syed Fahad Tahir and Andrea Cavallaro" @@ -9349,10 +8008,6 @@ destin´ee au d´epˆot et `a la diffusion de documents scientifiques de niveau recherche, publi´es ou non, ´emanant des ´etablissements d’enseignement et de recherche fran¸cais ou ´etrangers, des laboratoires" -cc392ab1cfaee298e05488a4a1d84ece12220880,A new multi-scale fuzzy model for Histogram-Based Descriptors,"A NEW MULTI-SCALE FUZZY MODEL FOR HISTOGRAM-BASED DESCRIPTORS -Lunshao Chaia, Zhen Qinb, Honggang Zhanga, Jun Guoa, Bir Bhanub -Beijing University of Posts and Telecomuunictions, Beijing, 100876, China -University of California at Riverside, Riverside, CA 92521, USA" cca2bee0973e347efd7b3d145b6d23286c801bd1,VoCMex: a voice corpus in Mexican Spanish for research in speaker recognition,"Int J Speech Technol DOI 10.1007/s10772-012-9183-z VoCMex: a voice corpus in Mexican Spanish for research @@ -9377,15 +8032,6 @@ Jamal Kharroubi Faculty of Technical Sciences B.P. 2202 – Road of Imouzzer Fez – Morocco" -cc31db984282bb70946f6881bab741aa841d3a7c,Learning Grimaces by Watching TV,"ALBANIE, VEDALDI: LEARNING GRIMACES BY WATCHING TV -Learning Grimaces by Watching TV -Samuel Albanie -http://www.robots.ox.ac.uk/~albanie -Andrea Vedaldi -http://www.robots.ox.ac.uk/~vedaldi -Engineering Science Department -Univeristy of Oxford -Oxford, UK" ccd99008d942b890cecd308a31ba61240eac9e54,Learning to Segment Every Thing,"Learning to Segment Every Thing Ronghang Hu1,2,∗ Piotr Doll´ar2 Kaiming He2 @@ -9534,27 +8180,15 @@ Thomas G. Dietterich" via Spatio-Temporal Video Bundles Grouping Technical Report, November 2013 Yongyi Lu, Liang Lin, Yuanlu Xu, Zefeng Lai" -9595a267de2b0ecf7e4e2962a606c8854551e203,On the Relation between Color Image Denoising and Classification,"On the Relation between Color Image Denoising -nd Classification -Jiqing Wu, Radu Timofte, Member, IEEE, Zhiwu Huang, Member, IEEE, and Luc Van Gool, Member, IEEE" 95029b1041a169e5b4e1ad79f60bfedb7a6844d0,Learning Superpixels with Segmentation-Aware Affinity Loss,"Learning Superpixels with Segmentation-Aware Affinity Loss Wei-Chih Tu1 Ming-Yu Liu2 Varun Jampani2 Deqing Sun2 Shao-Yi Chien1 Ming-Hsuan Yang2 Jan Kautz2 National Taiwan University 2NVIDIA 3UC Merced" -956c634343e49319a5e3cba4f2bd2360bdcbc075,A novel incremental principal component analysis and its application for face recognition,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 36, NO. 4, AUGUST 2006 -A Novel Incremental Principal Component Analysis -nd Its Application for Face Recognition -Haitao Zhao, Pong Chi Yuen, Member, IEEE, and James T. Kwok, Member, IEEE" 9513503867b29b10223f17c86e47034371b6eb4f,Comparison of Optimisation Algorithms for Deformable Template Matching,"Comparison of optimisation algorithms for deformable template matching Vasileios Zografos Link¨oping University, Computer Vision Laboratory ISY, SE-581 83 Link¨oping, SWEDEN" -95ace502ba23a8a5543b882937de23b892112cca,Facial Dynamics Interpreter Network: What Are the Important Relations Between Local Dynamics for Facial Trait Estimation?,"Facial Dynamics Interpreter Network: What are -the Important Relations between Local -Dynamics for Facial Trait Estimation? -Seong Tae Kim and Yong Man Ro* -School of Electrical Engineering, KAIST, Daejeon, Republic of Korea" 95f990600abb9c8879e4f5f7cd03f3d696fcdec4,An Online Algorithm for Constrained Face Clustering in Videos,"Manuscript version: Author’s Accepted Manuscript The version presented in WRAP is the author’s accepted manuscript and may differ from the published version or Version of Record. @@ -9575,24 +8209,6 @@ Copies of full items can be used for personal research or study, educational, or purposes without prior permission or charge. Provided that the authors, title and full ibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way." -951f21a5671a4cd14b1ef1728dfe305bda72366f,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Impact Factor (2012): 3.358 -Use of ℓ2/3-norm Sparse Representation for Facial -Expression Recognition -Sandeep Rangari1, Sandeep Gonnade2 -MATS University, MATS School of Engineering and Technology, Arang, Raipur, India -MATS University, MATS School of Engineering and Technology, Arang, Raipur, India -three -to discriminate -represents emotion," -959bcb16afdf303c34a8bfc11e9fcc9d40d76b1c,Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks,"Temporal Coherency based Criteria for Predicting -Video Frames using Deep Multi-stage Generative -Adversarial Networks -Prateep Bhattacharjee1, Sukhendu Das2 -Visualization and Perception Laboratory -Department of Computer Science and Engineering -Indian Institute of Technology Madras, Chennai, India" 951af0494e8812fdb7d578b68c342ab876acb27e,DOCTEUR DE L’ECOLE NORMALE SUPERIEURE DE CACHAN,"THÈSEDEDOCTORATDEL’ÉCOLENORMALESUPÉRIEUREDECACHANprésentéeparJULIENMAIRALpourobtenirlegradedeDOCTEURDEL’ÉCOLENORMALESUPÉRIEUREDECACHANDomaine:MATHÉMATIQUESAPPLIQUÉESSujetdelathèse:Représentationsparcimonieusesenapprentissagestatistique,traitementd’imageetvisionparordinateur—Sparsecodingformachinelearning,imageprocessingandcomputervisionThèseprésentéeetsoutenueàCachanle30novembre2010devantlejurycomposéde:FrancisBACHDirecteurderecherche,INRIAParis-RocquencourtDirecteurdethèseStéphaneMALLATProfesseur,EcolePolytechnique,New-YorkUniversityRapporteurEricMOULINESProfesseur,Télécom-ParisTechExaminateurBrunoOLSHAUSENProfesseur,UniversityofCalifornia,BerkeleyRapporteurJeanPONCEProfesseur,EcoleNormaleSupérieure,ParisDirecteurdethèseGuillermoSAPIROProfesseur,UniversityofMinnesotaExaminateurJean-PhilippeVERTDirecteurderecherche,EcolesdesMines-ParisTechExaminateurThèsepréparéeauseindel’équipeWillowdulaboratored’informatiquedel’ÉcoleNormaleSupérieure,Paris.(INRIA/ENS/CNRSUMR8548).23avenued’Italie,75214Paris." 95225bab187483e37823daab5c503f6b327fb008,Improved MinMax Cut Graph Clustering with Nonnegative Relaxation,"Improved MinMax Cut Graph Clustering with Nonnegative Relaxation @@ -9625,19 +8241,6 @@ Davide Baltieri, Roberto Vezzani, Rita Cucchiara University of Modena and Reggio Emilia Via Vignolese 905, 41125 Modena - Italy {davide.baltieri, roberto.vezzani," -954909051c1d7d5a8ba885f1c09afe04c8aab0fb,IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks,"STUDENT, PROF, COLLABORATOR: BMVC AUTHOR GUIDELINES -IGCV3: Interleaved Low-Rank Group -Convolutions for Efficient Deep Neural -Networks -University of Science and Technology -of China -Anhui, China -Microsoft Research Asia, -Beijing, China -Ke Sun1 -Mingjie Li1 -Dong Liu1 -Jingdong Wang2" 95593fb20df8ce1273cebe0690cf2cdab054b9b5,Robust Multi-Image HDR Reconstruction for the Modulo Camera, 95ea564bd983129ddb5535a6741e72bb1162c779,Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection,"Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection @@ -9658,46 +8261,6 @@ Explaining Potential Risks in Traffic Scenes by Combining Logical Inference and Physical Simulation Ryo Takahashi, Naoya Inoue, Yasutaka Kuriya, Sosuke Kobayashi, and Kentaro Inui from observation and" -95fb31beaa745557fa33ec4f670ab4e130ff5bf4,Speeding up spatial approximation search in metric spaces,"Speeding up Spatial Approximation Search -in Metric Spaces -KARINA FIGUEROA -Universidad Michoacana, Mexico -EDGAR CHAVEZ -Universidad Michoacana / CICESE, Mexico -GONZALO NAVARRO -RODRIGO PAREDES -University of Chile, Chile -Proximity searching consists in retrieving from a database those elements that are similar to a -query object. The usual model for proximity searching is a metric space where the distance, -which models the proximity, is expensive to compute. An index uses precomputed distances to -speed up query processing. Among all the known indices, the baseline for performance for about -twenty years has been AESA. This index uses an iterative procedure, where at each iteration it -first chooses the next promising element (“pivot”) to compare to the query, and then it discards -database elements that can be proved not relevant to the query using the pivot. The next pivot -in AESA is chosen as the one minimizing the sum of lower bounds to the distance to the query -proved by previous pivots. In this paper we introduce the new index iAESA, which establishes a -new performance baseline for metric space searching. The difference with AESA is the method -to select the next pivot. In iAESA, each candidate sorts previous pivots by closeness to it, and" -c86e6ed734d3aa967deae00df003557b6e937d3d,Generative Adversarial Networks with Decoder-Encoder Output Noise,"Generative Adversarial Networks with -Decoder-Encoder Output Noise -Guoqiang Zhong, Member, IEEE, Wei Gao, Yongbin Liu, Youzhao Yang -onditional distribution of their neighbors. In [32], Portilla and -Simoncelli proposed a parametric texture model based on joint -statistics, which uses a decomposition method that is called -steerable pyramid decomposition to decompose the texture -of images. An example-based super-resolution algorithm [11] -was proposed in 2002, which uses a Markov network to model -the spatial relationship between the pixels of an image. A -scene completion algorithm [16] was proposed in 2007, which -pplied a semantic scene match technique. These traditional -lgorithms can be applied to particular image generation tasks, -such as texture synthesis and super-resolution. Their common -haracteristic is that they predict the images pixel by pixel -rather than generate an image as a whole, and the basic idea -of them is to make an interpolation according to the existing -part of the images. Here, the problem is, given a set of images, -an we generate totally new images with the same distribution -of the given ones?" c81b303005459285a5864ea4de71f77025cd5be5,Norm-Induced Entropies for Decision Forests,"Norm-induced entropies for decision forests Christoph Lassner Rainer Lienhart @@ -9736,18 +8299,6 @@ c8f216dbd43dda14783677f44bb336c92211cd46,Synthesis from 3 D Mesh Sequences Drive SPEECH FEATURES Felix Kuhnke and J¨orn Ostermann Institut f¨ur Informationsverarbeitung, Leibniz Universit¨at Hannover, Germany" -c896946612069f162864edfbecf5c1a8a077ed79,The Image Multi Feature Retrieval based on SVM Semantic Classification,"International Journal of Hybrid Information Technology -Vol.9, No.3 (2016), pp. 291-300 -http://dx.doi.org/10.14257/ijhit.2016.9.3.27 -The Image Multi Feature Retrieval based on SVM Semantic -Classification -Che Chang1,2*, Yu Xiaoyang1 and Bai Yamei3 -. Measuring and Control Technology and Instrumentations,Harbin University of -Science and Technology, Harbin, China -. School of Engineering,Harbin University, Harbin, China -. School of Electronic and Information Engineering,Harbin Huade University -Harbin, China -E-mail:" c88a1d52d92a47704a797fce2202970bb1f2008c,RECOGNIZING FACE SKETCHES BY HUMAN VOLUNTEERS,"RECOGNIZING FACE SKETCHES BY HUMAN VOLUNTEERS Priyanka Reddy Gangam Submitted in Partial Fulfillment of the Requirements @@ -9794,15 +8345,6 @@ I. INTRODUCTION With computers to handle more and more complicated things in variable environments like driverless car and ad- vanced medical diagnosis expert system, higher artificial intel-" -c84233f854bbed17c22ba0df6048cbb1dd4d3248,Exploring Locally Rigid Discriminative Patches for Learning Relative Attributes,"Y. VERMA, C. V. JAWAHAR: EXPLORING PATCHES FOR RELATIVE ATTRIBUTES -Exploring Locally Rigid Discriminative -Patches for Learning Relative Attributes -Yashaswi Verma -http://researchweb.iiit.ac.in/~yashaswi.verma/ -C. V. Jawahar -http://www.iiit.ac.in/~jawahar/ -IIIT-Hyderabad, India -http://cvit.iiit.ac.in" c8855bebdaa985dfc4c1a07e5f74a0e29787e47e,Multi-label Object Attribute Classification using a Convolutional Neural Network,"Multi-label Object Attribute Classification using Convolutional Neural Network Soubarna Banik, Mikko Lauri, Simone Frintrop @@ -9844,15 +8386,6 @@ Xirong Li(cid:63)1, Qin Jin(cid:63)1, Shuai Liao1, Junwei Liang1, Xixi He1, Yuji Weiyu Lan1, Bin Xiao2, Yanxiong Lu2, Jieping Xu1 Multimedia Computing Lab, School of Information, Renmin University of China Pattern Recognition Center, WeChat Technical Architecture Department, Tencent" -c8012c6d71c286777b7a818c4cadb540d8549b43,Diagnosis of Esophagitis Based on Face Recognition Techniques,"The Open Medical Informatics Journal, 2010, 4, 58-62 -Open Access -Diagnosis of Esophagitis Based on Face Recognition Techniques -Santosh S. Saraf -*,1, Gururaj R. Udupi2 and Santosh D. Hajare3 -Research Center, Department of Electronics and Communications Engg., Gogte Institute of Technology, Belgaum, -India -Vishwanathrao Deshpande Rural Institute of Technology, Haliyal, India -Department of Gastroenterology, K.L.E. Prabhakar Kore Hospital and Research Center, Belgaum, India" c840d85f6dce0fb69fb6113923f17e1e314c6134,Disparity Sliding Window: Object Proposals From Disparity Images,"Disparity Sliding Window: Object Proposals From Disparity Images Julian M¨uller1, Andreas Fregin2 and Klaus Dietmayer1" c8db8764f9d8f5d44e739bbcb663fbfc0a40fb3d,Modeling for part-based visual object detection based on local features,"Modeling for part-based visual object @@ -9946,14 +8479,6 @@ Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin Baidu Research National Engineering Laboratory for Deep Learning Technology and Applications {wangpeng54, yangruigang, caobinbin, wei.xu," -c81ee278d27423fd16c1a114dcae486687ee27ff,Search Based Face Annotation Using Weakly Labeled Facial Images,"Search Based Face Annotation Using Weakly -Labeled Facial Images -Shital Shinde1, Archana Chaugule2 -Computer Department, Savitribai Phule Pune University -D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18 -Mahatma Phulenagar, 120/2 Mahaganpati soc, Chinchwad, Pune-19, MH, India -D.Y.Patil Institute of Engineering and Technology, Pimpri, Pune-18, Savitribai Phule Pune University -DYPIET, Pimpri, Pune-18, MH, India" c8fc65c83473c633e2bf1c13031ccd10617cc8a2,Every Object Tells a Story,"Every Object Tells a Story James Pustejovsky Computer Science Department @@ -10003,21 +8528,12 @@ Adobe Research" 693905c29feb7f9be3517308c8a9c2dc68aa8682,Self-supervised CNN for Unconstrained 3D Facial Performance Capture from an RGB-D Camera,"Self-supervised CNN for Unconstrained 3D Facial Performance Capture from an RGB-D Camera Yudong Guo, Juyong Zhang†, Lin Cai, Jianfei Cai and Jianmin Zheng" -69063f7e0a60ad6ce16a877bc8f11b59e5f7348e,Class-Specific Image Deblurring,"Class-Specific Image Deblurring -Saeed Anwar1, Cong Phuoc Huynh1 -, Fatih Porikli1 -The Australian National University∗ Canberra ACT 2601, Australia -NICTA, Locked Bag 8001, Canberra ACT 2601, Australia" 699b6cbd72ee0274699b939863813499c377ea00,Enlightening Deep Neural Networks with Knowledge of Confounding Factors,"Enlightening Deep Neural Networks with Knowledge of Confounding Factors Yu Zhong Gil Ettinger {yu.zhong, Systems & Technology Research" -6960bfc668aad1b537fbf3f1b48328e7d440b80b,Fully Automatic Recognition of the Temporal Phases of Facial Actions,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 1, FEBRUARY 2012 -Fully Automatic Recognition of the -Temporal Phases of Facial Actions -Michel F. Valstar, Member, IEEE, and Maja Pantic, Senior Member, IEEE" 6957baa0db5576997aef9de43b93fe8fd4d07632,Identifica\c{c}\~ao autom\'atica de picha\c{c}\~ao a partir de imagens urbanas,"Identificac¸˜ao autom´atica de pichac¸˜ao a partir de imagens urbanas Eric K. Tokuda and Roberto M. Cesar-Jr. @@ -10067,10 +8583,6 @@ obtained from a single vision sensor. Unlike typical multimodal biometric system utilizes gesture video signals combined with facial images. Whereas physical information such as face, fingerprints, and iris is fixed nd not changeable, behavioral information such as gestures and signatures can be freely changed by the user, similar to a password. Therefore, it can be a countermeasure when the physical information is exposed. We aim to investigate the potential possibility of" -6903496ee5d4c24ca5f3f18211f406e0ba8442d6,Multi-Mapping Image-to-Image Translation with Central Biasing Normalization,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2018 -Multi-Mapping Image-to-Image Translation with -Central Biasing Normalization -Xiaoming Yu, Zhenqiang Ying, Student Member, IEEE, Thomas Li, Shan Liu, and Ge Li, Member, IEEE," 69c03f69ddf77586f83bf13d473abf53a70e6793,"EigenFaces Image normalization : rotation , scale and intensity Eye coordinates + input frame Voting method Person identity DCT HMM Face extraction Recognition Modules","Lemieux & Parizeau, Vision Interface 2003. Flexible multi-classifier architecture for face recognition systems @@ -10146,17 +8658,6 @@ Sheryl Brahnam Computer Information Systems Department Southwest Missouri State University Springfield, MO 65804" -69a55c30c085ad1b72dd2789b3f699b2f4d3169f,Automatic Happiness Strength Analysis of a Group of People using Facial Expressions,"International Journal of Computer Trends and Technology (IJCTT) – Volume 34 Number 3 - April 2016 -Automatic Happiness Strength Analysis of a -Group of People using Facial Expressions -Sagiri Prasanthi#1, Maddali M.V.M. Kumar*2, -#1PG Student, #2Assistant Professor -#1, #2Department of MCA, St. Ann’s College of Engineering & Technology, Andhra Pradesh, India -is a collective concern" -691eb8eb9f5d5fbf5d76349098b78e5d6fc25ccc,Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints,"Deep Learning of Part-based Representation of Data -Using Sparse Autoencoders with Nonnegativity -Constraints -Ehsan Hosseini-Asl, Member, IEEE, Jacek M. Zurada, Life Fellow, IEEE, Olfa Nasraoui, Senior Member, IEEE" 690d669115ad6fabd53e0562de95e35f1078dfbb,"Progressive versus Random Projections for Compressive Capture of Images, Lightfields and Higher Dimensional Visual Signals","Progressive versus Random Projections for Compressive Capture of Images, Lightfields and Higher Dimensional Visual Signals Rohit Pandharkar @@ -10167,15 +8668,6 @@ Ashok Veeraraghavan Ramesh Raskar MIT Media Lab 75 Amherst St, Cambridge, MA" -69c8b0ec77d3164df2069a5133780a36ec8e91ad,Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning,"Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning -Lingjing Wang -NYU Multimedia and Visual Computing Lab -Courant Institute of Mathematical Science -NYU Tandon School of Engineering, USA -Yi Fang ∗ -NYU Multimedia and Visual Computing Lab -Dept. of ECE, NYU Abu Dhabi, UAE -Dept. of ECE, NYU Tandon School of Engineering, USA" 695f6dc7165aa3fca15d1b1deb4c496fc093ac19,Learning Discriminative Visual N-grams from Mid-level Image Features.,"GUPTA, PANDEY, CHIA: VISUAL N-GRAMS Learning Discriminative Visual N-grams from Mid-level Image Features @@ -10191,17 +8683,6 @@ Singapore Rakuten Institute of Technology Singapore" 69f27ca2f1280587004c8fae6b3b0021305e52eb,Title of dissertation : Scene and Video Understanding, -69447482c6d7d0fde4001231ca84c31f866a2d5d,Survey of Advanced Facial Feature Tracking and Facial Expression Recognition,"ISSN (Print) : 2319-5940 -ISSN (Online) : 2278-1021 -International Journal of Advanced Research in Computer and Communication Engineering -Vol. 2, Issue 10, October 2013 -Survey of Advanced Facial Feature Tracking and -Facial Expression Recognition -Karthick.K1, J.Jasmine2 -PG Scholar, Department of Computer science and Technology, Kalaignar Karunanidhi Institute of Technology, -Coimbatore, Tamilnadu, India1 -Assistant Professor, Department of Computer science and Technology, Kalaignar Karunanidhi Institute of Technology, -Coimbatore, Tamilnadu, India2" 695b040a9550a46b5ffe31e4a6abbadfac02c1ad,Face recognition with illumination distinction description,"1st International Conference on Pattern Recognition (ICPR 2012) November 11-15, 2012. Tsukuba, Japan 978-4-9906441-1-6 ©2012 IAPR" @@ -10243,13 +8724,6 @@ Matthias Nießner1 Technical University of Munich University Federico II of Naples University of Erlangen-Nuremberg" -695e4c975740d2aedcfc42d7ec445b4b2b56cbeb,Principal Component Analysis : An Efficient Facial Feature Extraction Technique,"SSRG International Journal of Electronics and Communication Engineering - (ICRTESTM) - Special Issue – April 2017 -Principal Component Analysis: An Efficient -Facial Feature Extraction Technique -Research scholar, ECE Dept, JJTU, Rajasthan, India, 333001(Associate Professor, SVIT, Secunderabad-500 -Drakshayani Desai, 2Dr. Ramakrishna Seemakurti. -Research Guide (Pricipal,, SVIT, Secunderabd, India, 500003) (Approved Research Guide, JJTU, Jhunjhunu- -33001, Rajasthan, India)" 6971bdac5119c4cc1b6d92adac605e13f1bcd80f,Limiting the reconstruction capability of generative neural network using negative learning,"LIMITING THE RECONSTRUCTION CAPABILITY OF GENERATIVE NEURAL NETWORK USING NEGATIVE LEARNING Asim Munawar, Phongtharin Vinayavekhin and Giovanni De Magistris @@ -10434,15 +8908,6 @@ d50e51d0a349dd904b85734083e59643ba99bd2c,A Robust Face Recognition method,"Inter ISSN 2229-5518 A Robust Face Recognition method G.Seshikala,U.P.Kulakrni,M.N.GiriPrasad" -d54f508c943b8415bfdd30d9210869ec93ff3f03,A method of illumination compensation for human face image based on quotient image q,"Available online at www.sciencedirect.com -Information Sciences 178 (2008) 2705–2721 -www.elsevier.com/locate/ins -A method of illumination compensation for human face -image based on quotient image q -Wang Ying-hui a,b, Ning Xiao-juan a,*, Yang Chun-xia a, Wang Qiong-fang b -School of Computer Science Engineering, Xi’an University of Technology, Xi’an 710048, China -Department of Computer Science, Shaanxi Normal University, Xi’an 710062, China -Received 23 February 2007; received in revised form 2 December 2007; accepted 14 December 2007" d5579b2708a1c713e1b2feb8646533ce26085a3a,Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery,"Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery Ryuhei Hamaguchi Aito Fujita Keisuke Nemoto @@ -10474,26 +8939,6 @@ different angles and which may also be partially occluded. Specifically, face r respect to the following factors [19]: . face image resolution – face images can be captured at different resolutions: face images scanned from documents may have very high resolution, while face images captured with a video camera will mostly be of very low resolution," -d59f18fcb07648381aa5232842eabba1db52383e,Robust Facial Expression Recognition using Spatially Localized Geometric Model 125 2 . IDENTIFICATION OF FEATURE REGIONS,"International Conference on Systemics, Cybernetics and Informatics, February 12–15, 2004 -ROBUST FACIAL EXPRESSION RECOGNITION USING SPATIALLY -LOCALIZED GEOMETRIC MODEL -Department of Electrical Engineering -Dept. of Computer Sc. and Engg. -Ashutosh Saxena -IIT Kanpur -Kanpur 208016, India -Kanpur 208016, India -Ankit Anand -IIT Kanpur -Prof. Amitabha Mukerjee -Dept. of Computer Sc. and Engg. -IIT Kanpur -Kanpur 208016, India -While approaches based on 3D deformable facial model have -chieved expression recognition rates of as high as 98% [2], they -re computationally inefficient and require considerable apriori -training based on 3D information, which is often unavailable. -Recognition from 2D images remains a difficult yet important" d5d3c1b299e81b4ab96d052f8a37013305b731d9,Performance Evaluation of Human Detection Systems for Robot Safety,"J Intell Robot Syst DOI 10.1007/s10846-016-0334-3 Performance Evaluation of Human Detection Systems @@ -10606,10 +9051,6 @@ Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs Xing Di · Vishal M. Patel Received: date / Accepted: date" -d5cdcaa19a62e3cb97da013555b99fe35e724e38,Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork,"Improved ArtGAN for Conditional Synthesis of -Natural Image and Artwork -Wei Ren Tan, Student Member, IEEE, Chee Seng Chan, Senior Member, IEEE, -Hern´an E. Aguirre, Member, IEEE, and Kiyoshi Tanaka, Member, IEEE" d5b83d6b4a3c1093edc9138ab9dfe4e965a80261,Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates,"Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates Jun Liu, Amir Shahroudy, Dong Xu, Alex C. Kot, and Gang Wang" @@ -10672,15 +9113,6 @@ Miaojing Shi1,2 Holger Caesar1 University of Edinburgh 2Tencent Youtu Lab Vittorio Ferrari1" -f202c78e58d33a65c19183414ad0ee91be440d61,Investigating the Influence of Biological Sex on the Behavioral and Neural Basis of Face Recognition,"New Research -Sensory and Motor Systems -Investigating the Influence of Biological Sex on -the Behavioral and Neural Basis of Face -Recognition -K. Suzanne Scherf,1,2 Daniel B. Elbich,1 and Natalie V. Motta-Mena1 -DOI:http://dx.doi.org/10.1523/ENEURO.0104-17.2017 -Department of Psychology, Pennsylvania State University, University Park, PA 16802, and 2Department of -Neuroscience, Pennsylvania State University, University Park, PA 16802" f22058a3003cee6b17c6c25c8a635a653e78614c,Multimodal Attention in Recurrent Neural Networks for Visual Question Answering,"Global Journal of Computer Science and Technology: D Neural & Artificial Intelligence Volume 17 Issue 1 Version 1.0 Year 2017 @@ -10794,17 +9226,6 @@ f2fafa5d2c49034ba8f6318f869822b462b33a42,iQIYI-VID: A Large Dataset for Multi-mo Yuanliu Liu, Peipei Shi, Bo Peng, He Yan, Yong Zhou, Bing Han, Yi Zheng, Chao Lin, Jianbin Jiang,Yin Fan, Tingwei Gao, Ganwen Wang, Jian Liu, Xiangju Lu, Danming Xie iQIYI, Inc." -f22a7a7a8cdd323270d1f8173c0289d61981dc73,Face Recognition System Using Wavelet Normalization,"ISSN(Online): 2319-8753 -ISSN (Print): 2347-6710 -International Journal of Innovative Research in Science, -Engineering and Technology -(An ISO 3297: 2007 Certified Organization) -Vol. 4, Issue 12, December 2015 -Face Recognition System Using -Wavelet Normalization -R.Anitha 1, S.Ramila 2 -Assistant Professor, Dept. of CSE, Sri Krishna College of Technology, Coimbatore, India 1 -Assistant Professor, Dept. of CSE, Sri Krishna College of Technology, Coimbatore, India 2" f2b547b0bbda1478cbecbd5c184c3c42c3db7e3c,Semi-parametric Image Synthesis, f26d34d8a8d082ce2c81937f61c28f3769c38372,Probability of Seeing Increases Saccadic Readiness,"Probability of Seeing Increases Saccadic Readiness The´ re` se Collins* @@ -10840,10 +9261,6 @@ Tobias Hinz and Stefan Wermter ∗ Universit¨at Hamburg, Department of Informatics, Knowledge Technology Vogt-Koelln-Str. 30, 22527 Hamburg, Germany http://www.informatik.uni-hamburg.de/WTM/" -c32383330df27625592134edd72d69bb6b5cff5c,Intrinsic Illumination Subspace for Lighting Insensitive Face Recognition,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 2, APRIL 2012 -Intrinsic Illumination Subspace for Lighting -Insensitive Face Recognition -Chia-Ping Chen and Chu-Song Chen, Member, IEEE" c37a971f7a57f7345fdc479fa329d9b425ee02be,A Novice Guide towards Human Motion Analysis and Understanding,"A Novice Guide towards Human Motion Analysis and Understanding Dr. Ahmed Nabil Mohamed" c3599c91d0e3473178c1578b731b03e4be5d3ff1,Improving Resource Efficiency in Cloud Computing a Dissertation Submitted to the Department of Electrical Engineering and the Committee on Graduate Studies of Stanford University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy,"IMPROVING RESOURCE EFFICIENCY IN CLOUD COMPUTING @@ -11030,30 +9447,6 @@ Mickaël Chen Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France Ludovic Denoyer Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, France" -c3d60c8b1dff411982ccd8875496f1e74d2cefc4,Multi-view X-ray R-CNN,"Multi-view X-ray R-CNN -Jan-Martin O. Steitz[0000−0002−3549−312X], Faraz -Saeedan[0000−0002−8932−2983], and Stefan Roth[0000−0001−9002−9832] -Department of Computer Science, TU Darmstadt, Darmstadt, Germany" -c3341286ece958e6b05df56d788456b61313380b,Estimating Attention of Faces due to its Growing Level of Emotions,"Estimating Attention of Faces due to its Growing Level of Emotions -Ravi Kant Kumar*, Jogendra Garain, Dakshina Ranjan Kisku and Goutam Sanyal -Department of Computer Science and Engineering -National Institute of Technology -Durgapur, India -E-mail: {vit.ravikant, jogs.cse, drkisku, -imperative -nd feeling [2] of a person at that moment. Facial -expression plays an -in non-verbal -ommunication as well as to predicting the behavior of the -person. During a group discussion, our attention -utomatically goes towards those participants who put -more stressed on his words or talk in a sentimental or -emphatic voice. Same phenomenon occurs with the non- -verbal visual communication. The face reflecting the -higher expression of a particular emotion draws more -ttention [3, 4] in the discussion. A particular object (It -lso may be face), which gives us more visualization is -onsider as a salient object and this phenomenon is called" c3ea346826467f04779e55679679c7c7e549c8a2,Learning Short-Cut Connections for Object Counting,"OÑORO-RUBIO, NIEPERT, LÓPEZ-SASTRE: LEARNING SHORT-CUT CONNECTIONS. . . Learning Short-Cut Connections for Object Counting @@ -11149,20 +9542,9 @@ c348118690d2e6544ec1e68f904dbf9e5b6397bd,Video-to-Video Synthesis,"Video-to-Vide Ting-Chun Wang1, Ming-Yu Liu1, Jun-Yan Zhu2, Guilin Liu1, Andrew Tao1, Jan Kautz1, Bryan Catanzaro1 NVIDIA, 2MIT CSAIL" -c3bcc4ee9e81ce9c5c0845f34e9992872a8defc0,A New Scheme for Image Recognition Using Higher-Order Local Autocorrelation and Factor Analysis,"MVA2005 IAPR Conference on Machine VIsion Applications, May 16-18, 2005 Tsukuba Science City, Japan -A New Scheme for Image Recognition Using Higher-Order Local -Autocorrelation and Factor Analysis -Naoyuki Nomotoy, Yusuke Shinoharay, Takayoshi Shirakiy, Takumi Kobayashiy, Nobuyuki Otsuy yyy -yThe University of Tokyo -Tokyo, Japan -yyyAIST -Tukuba, Japan -f shiraki, takumi, otsug" c3285a1d6ec6972156fea9e6dc9a8d88cd001617,Extreme 3D Face Reconstruction: Seeing Through Occlusions, c141b7c4ccb4a0e5d2a327aa260b318c7c3bcfbb,Real-Time Adaptive Image Compression,"Real-Time Adaptive Image Compression Oren Rippel * 1 Lubomir Bourdev * 1" -c1ebbdb47cb6a0ed49c4d1cf39d7565060e6a7ee,Robust Facial Landmark Localization Based on Texture and Pose Correlated Initialization,"Robust Facial Landmark Localization Based on -Yiyun Pan, Junwei Zhou, Member, IEEE, Yongsheng Gao, Senior Member, IEEE, Shengwu Xiong" c1d98fca75c63fd5975fc2fcd3fe07ac02de4a5b,An End-to-End Traffic Vision and Counting System Using Computer Vision and Machine Learning: The Challenges in Real-Time Processing,"SIGNAL 2018 : The Third International Conference on Advances in Signal, Image and Video Processing An End-to-End Traffic Vision and Counting System Using Computer Vision and Machine Learning: The Challenges in Real-Time Processing @@ -11183,14 +9565,6 @@ Los Angeles, USA Email: William Chernicoff Toyota Mobility Foundation" -c175381a6b84ebd0a920ff44ccdccabd98bdfb94,Paper on Retrieval Magnets for Facial Duplication by Search Based Face Annotation,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Impact Factor (2012): 3.358 -A Review Paper on Retrieval Magnets for Facial -Duplication by Search Based Face Annotation -Deepika B. Patil1, Ayesha Butalia 2 -P.G. Student, Department of Computer Engineering, GMRCEM, Wagholi, Pune, India, -Professor, Department of Computer Engineering, GMRCEM, Wagholi, Pune, India," c18e11d0578dc67e46160afa527e1a9e73b8fa15,Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets,"Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, @@ -11225,9 +9599,6 @@ Prof. Min Chen, BSc, PhD, FBCS, FEG, FLSW Tag der mündlichen Prüfung: 27. Mai 2013 Visualisierungsinstitut der Universität Stuttgart" -c16bae6b2e578df2cba8e436e02bdeda281c2743,Tensor Discriminant Color Space for Face Recognition,"Tensor Discriminant Color Space for Face -Recognition -Su-Jing Wang, Jian Yang, Member, IEEE, Na Zhang, and Chun-Guang Zhou*" c1ff88493721af1940df0d00bcfeefaa14f1711f,Subspace Regression: Predicting a Subspace from one Sample,"#1369 CVPR 2010 Submission #1369. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE. #1369 @@ -11459,9 +9830,6 @@ Vol:3, No:11, 2009 Local Steerable Pyramid Binary Pattern Sequence LSPBPS for face recognition method Mohamed El Aroussi, Mohammed El Hassouni, Sanaa Ghouzali, Mohammed Rziza, and Driss Aboutajdine" -1ecf4055831ca23c9f6026ef866dac95c8b8f9de,Eye Gaze Tracking With a Web Camera in a Desktop Environment,"Eye Gaze Tracking With a Web Camera -in a Desktop Environment -Yiu-ming Cheung, Senior Member, IEEE, and Qinmu Peng, Member, IEEE" 1eb4ea011a3122dc7ef3447e10c1dad5b69b0642,Contextual Visual Recognition from Images and Videos,"Contextual Visual Recognition from Images and Videos Georgia Gkioxari Jitendra Malik @@ -11477,10 +9845,6 @@ Approximate Nearest Neighbor Search? Masakazu Iwamura, Tomokazu Sato and Koichi Kise Graduate School of Engineering, Osaka Prefecture University {masa," -1e83e2abcb258cd62b160e3f31a490a6bc042e83,Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 -Metric Learning in Codebook Generation of -Bag-of-Words for Person Re-identification -Lu Tian, Student Member, IEEE, and Shengjin Wang, Member, IEEE" 1ecb56e7c06a380b3ce582af3a629f6ef0104457,View-invariant face detection method based on local PCA cells,"List of Contents Vol.8 Contents of Journal of Advanced Computational @@ -11605,18 +9969,6 @@ Contractor and the contents do not necessarily have the approval or endorsement Department of National Defence of Canada. Defence Research and Development Canada  &RQWUDFW5HSRUW" -1e93ec0f5c29069beedbe7d617f5167b82b70730,Filtering SVM frame-by-frame binary classification in a detection framework,"FILTERING SVM FRAME-BY-FRAME BINARY CLASSIFICATION IN A DETECTION -FRAMEWORK -Alejandro Betancourt1,2, Pietro Morerio1, Lucio Marcenaro1, Matthias Rauterberg2, Carlo Regazzoni1 -Information and Signal Processing for Cognitive -University of Genoa, Italy -Telecommunications Group. -Department of Naval, Electric, Electronic -nd Telecommunications Engineering. -Designed Intelligence Group. -Department of Industrial Design. -Eindhoven University of Technology. -Eindhoven, Netherlands." 1e7ae86a78a9b4860aa720fb0fd0bdc199b092c3,A Brief Review of Facial Emotion Recognition Based on Visual Information,"Article A Brief Review of Facial Emotion Recognition Based on Visual Information @@ -11646,29 +9998,8 @@ CLASSIFICATION Christer Loob, Pejman Rasti, Iiris Lusi, Julio C. S. Jacques Junior, Xavier Baro, Sergio Escalera, Tomasz Sapinski, Dorota Kaminska and Gholamreza Anbarjafari" -1e8eee51fd3bf7a9570d6ee6aa9a09454254689d,Face Search at Scale,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2016.2582166, IEEE -Transactions on Pattern Analysis and Machine Intelligence -Face Search at Scale -Dayong Wang, Member, IEEE, Charles Otto, Student Member, IEEE, Anil K. Jain, Fellow, IEEE" -1e9ace30e55c57c14f609fa45a459458ed40dd77,DisguiseNet: A Contrastive Approach for Disguised Face Verification in the Wild,"DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild -Skand Vishwanath Peri -Abhinav Dhall -Learning Affect and Semantic Image AnalysIs (LASII) Group, -Indian Institute of Technology Ropar, India" 1e2d9ea6fe9c50a5c26a629b94446250e1be4e7d,The Freiburg Groceries Dataset,"The Freiburg Groceries Dataset Philipp Jund, Nichola Abdo, Andreas Eitel, Wolfram Burgard" -1e0ba1a61ed0c6d4a76697de1e185ed5def60fb4,Learning to Parse Video into Stable Spatiotemporal Volumes,"Learning to Parse Video into Stable Spatiotemporal Volumes1 -Thomas Dean -Google Inc. -We are interested in learning how to exploit continuity, motion and context to account for stable, recov- -erable, spatiotemporal phenomena embedded in video. While most humans can make sense of still images, -for the most part, we need continuity and motion to make sense of the world around us. Humans are also -ided by strong priors that allow us to make confident predictions despite ambiguity, noise and occlusion. -The idea of combining top-down prior knowledge and bottom-up cues derived from motion and other -low-level features has been around almost as long as research in computer vision, e.g., [10], and has recently -seen renewed interest, e.g., [3, 2, 6, 11]. Rather than the traditional tasks of object recognition or image -ategorization, here we focus on the task of explaining each new frame in a video in terms of a continuously -evolving representation of spatiotemporal volumes that account for the complete visual field. For the purpose" 1ea2a53a6cb9c08312276a2f0646935d5fab5ed3,Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models,"Noname manuscript No. (will be inserted by the editor) Real-time Crowd Tracking using Parameter Optimized @@ -11697,12 +10028,6 @@ A series of experiments illustrates the good behavior of the algorithm in terms performance and robustness with respect to the violation of the postulated low den- sity separation assumption. The minimum entropy solution bene(cid:12)ts from unlabeled data and is able to challenge mixture models and manifold learning in a number of" -1e284c51e005099b482eba9590427e29038d75c6,Pose Invariant Recognition using SIFT Based Feature Extraction and MRF,"IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 03, 2015 | ISSN (online): 2321-0613 -Pose Invariant Recognition using SIFT Based Feature Extraction and -Sushama Kumari R B1 D.Gnana Jebadas2 -PG Student (M.E) 2Assistant Professor -Department of Applied Electronics 2Department of Electronics Communication Engineering -,2Narayanaguru College of Engineering, Manjalumoodu, K.K (DIST)-Tamilnadu 629151, India" 1ebcf5dbb37fcd369530b0ee4df5d4a60f756f3e,Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering,"High-level Feature Learning by Ensemble Projection for Image Classification with Limited Annotations $ Dengxin Dai∗, Luc Van Gool @@ -11767,14 +10092,6 @@ Tel-Aviv, Israel" 1e5c6c9fa9ba089931cfb2bc81e4368a4db5dd2d,Multi- View Fusion for Action Recognition in Child-Robot Interaction,"978-1-4799-7061-2/18/$31.00 ©2018 IEEE ICIP 2018 #2Kinect #1Kinect #3Multi-view action recognition systemSenseActDecisionSpeakRec.ActionActFig.1:Multi-viewactionrecognitionsystemforchild-robotinteraction.presentspontaneousbehaviorandaninformalwayofcommunica-tion.Inaddition,thesameactionscanbeperformedinavarietyofwaysandawidespectrum,furthercomplicatingtherecognitionofactions.Althoughhumanactionrecognitionisapopularproblemwithmanyproposedmethods[8–13],therequirementsofmulti-viewac-tionrecognitiondiffersignificantlyasithastotakeintoaccountbothactionrecognitionthatresultsfromsingleviewsandalsothefusionamongtheresultinginformationfromthedifferentstreams[14,15].Incross-viewactionrecognitionworksitisattemptedtoshareknowledgefortheactionamongthedifferentsetupviews.Forexample,in[16]aspecificviewistreatedasthetargetdomainandtheotherviewsassourcedomainsinordertoformulateacross-viewlearningframework.Inotherapproaches,theknowledgeofactionsistransferredfromthedifferentviewsinasinglecanoni-calview[17].In[18]itisproposedtolearnview-invariantfeaturesrobusttoviewvariationsusingdeepmodels.Inthefieldofmulti-viewactionrecognition,anewglobalrepresentationthatiscalledmulti-viewsupervectorhasalsobeenproposedinordertoenhancerecognitionperformance[19].Finally,anotherinterestingapproachispresentedin[20]whereitisattemptedtotransferthelow-levelfeaturesintoahigh-levelsemanticspaceandamulti-tasklearningapproachforjointactionmodelingisexamined.Inthispaperwedevelopamulti-viewactionrecognitionsystemsuitableforCRI.Themaincontributionsofthispapercanbesum-marizedasfollows:1)Single-viewmethodsareexploredinordertocreaterobustactionrecognitionmodelsforparticularusers,i.e.children,underdifficulttaskswithfewtrainingdata.2)Methodsforthefusionofinformationfromdifferentstreamsinamulti-viewsys-temareproposedtoenhanceactionrecognitionduringCRI.3)Themulti-viewactionrecognitionsystemisintegratedinroboticplat-" -1e8711d2fc4b05eac0699c82f4698154c2b057d3,The unreasonable effectiveness of small neural ensembles in high-dimensional brain,"The unreasonable effectiveness of small neural ensembles -in high-dimensional brain -A.N. Gorbana,b,∗, V.A. Makarovb,c, I.Y. Tyukina,b,d -Instituto de Matem´atica Interdisciplinar, Faculty of Mathematics, Universidad Complutense de Madrid, Avda Complutense s/n, 28040 Madrid, -Department of Mathematics, University of Leicester, Leicester, LE1 7RH, UK -Lobachevsky University, Nizhni Novgorod, Russia -dSaint-Petersburg State Electrotechnical University, Saint-Petersburg, Russia -Spain" 1e146982a7b088e7a3790d2683484944c3b9dcf7,Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks,"Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks McLaughlin, N., Martinez del Rincon, J., & Miller, P. (2017). Video Person Re-Identification for Wide Area @@ -11860,9 +10177,6 @@ Department of Computer Science State University of New York at Binghamton NY, USA." -1e21078efc0aa7a3881d0e87cb5dd5918523f525,Network Consistent Data Association,"Network Consistent Data Association -Anirban Chakraborty, Member, IEEE, Abir Das, Student Member, IEEE, -nd Amit K. Roy-Chowdhury, Senior Member, IEEE" 1e1e66783f51a206509b0a427e68b3f6e40a27c8,Semi-supervised estimation of perceived age from face images,"SEMI-SUPERVISED ESTIMATION OF PERCEIVED AGE FROM FACE IMAGES VALWAY Technology Center, NEC Soft, Ltd., Tokyo, Japan @@ -11876,10 +10190,6 @@ Cordelia Schmid CHESNEAU ET AL.: DETECTING PARTS FOR ACTION LOCALIZATION Detecting Parts for Action Localization Inria∗" -1e41a3fdaac9f306c0ef0a978ae050d884d77d2a,Robust Object Recognition with Cortex-Like Mechanisms,"Robust Object Recognition with -Cortex-Like Mechanisms -Thomas Serre, Lior Wolf, Stanley Bileschi, Maximilian Riesenhuber, and -Tomaso Poggio, Member, IEEE" 1eadafc27372b33a73eca062438a58d4280fd3a1,DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images,"DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images @@ -12124,46 +10434,6 @@ Shashanka Ubaru Arya Mazumdar Yousef Saad University of Minnesota-Twin Cities, MN USA" -0953df0cb7a40a29100eb3089863451ee8e6db47,Chapter 10 PERCEPTUAL INTERFACES,"Chapter 10 -PERCEPTUAL INTERFACES -Matthew Turk -nd Mathias K¨olsch -A keyboard! How quaint. -— Scotty, in the film Star Trek IV: The Voyage Home (1986) -Introduction -Computer vision research has traditionally been motivated by a few main -reas of application. The most prominent of these include biological vision -modeling, robot navigation and manipulation, surveillance, medical imaging, -nd various inspection, detection, and recognition tasks. In recent years, a -new area, often referred to as perceptual interfaces, has emerged to mo- -tivate an increasingly large amount of research within the machine vision -ommunity. The general focus of this effort is to integrate multiple per- -eptual modalities (such as computer vision, speech and sound processing, -nd haptic I/O) into the user interface. For computer vision technology in -particular, the primary aim is to use vision as an effective input modality -in human-computer interaction. Broadly defined, perceptual interfaces are -highly interactive, multimodal interfaces that enable rich, natural, and ef- -ficient interaction with computers. More specifically, perceptual interfaces" -0967341790643f680f3fc9dc87bfe311723be4e4,A Perception-Driven Transcale Display Scheme for Space Image Sequences,"Hindawi -Advances in Multimedia -Volume 2018, Article ID 6045701, 14 pages -https://doi.org/10.1155/2018/6045701 -Research Article -A Perception-Driven Transcale Display Scheme for -Space Image Sequences -Lingling Zi -,1 Xin Cong -,1 Yanfei Peng,1 and Pei Yang2 -School of Electronic and Information Engineering, Liaoning Technical University, Huludao 125105, China -College of Science, Liaoning Technical University, Fuxin 123000, China -Correspondence should be addressed to Xin Cong; -Received 22 May 2018; Accepted 19 September 2018; Published 4 October 2018 -Academic Editor: Deepu Rajan -Copyright © 2018 Lingling Zi et al. This is an open access article distributed under the Creative Commons Attribution License, -which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -With the rapid development of multimedia technology, the way of obtaining high-quality motion reproduction for space targets has -ttracted much attention in recent years. This paper proposes a Perception-driven Transcale Display Scheme, which significantly -improves the awareness of multimedia processing. This new scheme contains two important modules, transcale description based" 09b0040ad09d61f3403c57c437c03271f8614add,HUMAN ACTIVITY RECOGNITION AND GYMNASTICS ANALYSIS THROUGH DEPTH IMAGERY by,"HUMAN ACTIVITY RECOGNITION AND GYMNASTICS ANALYSIS THROUGH DEPTH IMAGERY @@ -12175,10 +10445,6 @@ Harris Papadopoulos Computer Science and Engineering Department, Frederick University, 7 Y. Frederickou St., Palouriotisa, Nicosia 1036, Cyprus Editor: Alex Gammerman, Vladimir Vovk, Zhiyuan Luo, and Harris Papadopoulos" -09718bf335b926907ded5cb4c94784fd20e5ccd8,"Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble","Recognizing Partially Occluded, Expression Variant -Faces From Single Training Image per Person -With SOM and Soft k-NN Ensemble -Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Member, IEEE, and Fuyan Zhang" 09d954e980133014cb4dfe3f6b1444edaa099c97,Real-time self-adaptive deep stereo,"Real-time self-adaptive deep stereo Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia and Luigi Di Stefano Department of Computer Science and Engineering (DISI) @@ -12248,9 +10514,6 @@ for Visual Question Answering Jiasen Lu∗, Jianwei Yang∗, Dhruv Batra∗† , Devi Parikh∗† Virginia Tech, † Georgia Institute of Technology {jiasenlu, jw2yang, dbatra," -0969aa7d4557699b7460e4159658828efafed8bd,Con-Text: Text Detection for Fine-Grained Object Classification,"Con-Text: Text Detection for Fine-grained Object -Classification -Sezer Karaoglu, Ran Tao, Jan C. van Gemert and Theo Gevers, Member, IEEE," 09926ed62511c340f4540b5bc53cf2480e8063f8,Tubelet Detector for Spatio-Temporal Action Localization,"Action Tubelet Detector for Spatio-Temporal Action Localization Vicky Kalogeiton1,2 Philippe Weinzaepfel3 @@ -12278,24 +10541,6 @@ Deva Ramanan Charless Fowlkes Department of Computer Science University of California at Irvine" -09d453d4949b9d2b0dad1d5288e02ca9ec7da450,A Method for Predicting Vehicles Motion Based on Road Scene Reconstruction and Neural Networks in Real Time,"IT in Industry, vol. 6, 2018 Published online 17-Feb-2018 -A Method for Predicting Vehicles Motion Based on -Road Scene Reconstruction and Neural Networks in -Real Time -Prof. D. Sc. Nina Krapukhina, PhD student Nikolay Kamenov -The National University of Science and Technology MISIS Moscow, Russia" -09c4732280c3b2586e390d818ef0056a8de73e2c,A New Method of Histogram Computation for Efficient Implementation of the HOG Algorithm,"Article -A New Method of Histogram Computation for -Efficient Implementation of the HOG Algorithm † -Mariana-Eugenia Ilas 1,* ID and Constantin Ilas 2 -Department of Electronics, Telecommunications and IT, University Politehnica Bucharest, -Bucharest 060042, Romania -Department of Automatics and Computer Science, University Politehnica Bucharest, -Bucharest 060042, Romania; -* Correspondence: Tel.: +40-21-402-4618 -This paper is an extended version of our paper published in the 9th Computer Science & Electronic -Engineering Conference (CEEC), Colchester, UK, 27–29 September 2017. -Received: 5 January 2018; Accepted: 27 February 2018; Published: 1 March 2018" 09cf3d036f84b6b3ac5244a2ecf8ac74f69de5d3,Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance,"Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance Liang Lin, Yongyi Lu, Yan Pan, Xiaowu Chen" @@ -12355,13 +10600,6 @@ Haicheng Wang 035140108 COMP4801 Final Year Project Project Code: 17007" -1740a0732e8e308f5dd395313313cc3289666f13,Preference-Aware View Recommendation System for Cameras Based on Bag of Aesthetics-Preserving Features,"Transactions on Multimedia -Page 22 of 32 -Preference-Aware View Recommendation System -for Cameras Based on Bag of -Aesthetics-Preserving Features -Hsiao-Hang Su, Tse-Wei Chen, Member, IEEE, Chieh-Chi Kao, Winston H. Hsu, Member, IEEE, -nd Shao-Yi Chien*, Member, IEEE" 177cbeb83c3a0868b9a5c75cd74edf4b972cba80,Exact Primitives for Time Series Data Mining,"UNIVERSITY OF CALIFORNIA RIVERSIDE Exact Primitives for Time Series Data Mining @@ -12465,9 +10703,6 @@ Bi Li, Wenxuan Xie, Wenjun Zeng, Fellow, IEEE, and Wenyu Liu, Senior Member, IEE for Semantic Segmentation Di Lin1, Yuanfeng Ji1, Dani Lischinski2, Daniel Cohen-Or1,3, and Hui Huang1(cid:63) Shenzhen University 2The Hebrew University of Jerusalem 3Tel Aviv University" -175fcfe655b5601b21fdfb3c61bff49c7a8ca297,Semantic Human Matting,"Semantic Human Ma(cid:130)ing -(cid:139)an Chen1, Tiezheng Ge1, Yanyu Xu1,2, Zhiqiang Zhang1, Xinxin Yang1, Kun Gai1 -Alibaba Group, Beijing, China; 2ShanghaiTech University, Shanghai, China" 17ff59bb388b155f613f7566ba7cd71ec780cdec,Asymmetric Sparse Kernel Approximations for Large-Scale Visual Search,"Asymmetric sparse kernel approximations for large-scale visual search Damek Davis @@ -12479,17 +10714,6 @@ Los Angeles, CA 90095 Stefano Soatto University of California Los Angeles, CA 90095" -17ad76ef00d4cb584389682ca6b138a8bdc9a2da,Continuous Multimodal Emotion Recognition Approach for AVEC 2017,"Continuous Multimodal Emotion Recognition -Approach for AVEC 2017 -Narotam Singh*, Nittin Singh†, Abhinav Dhall‡ -Department of Computer Science and Engineering, Indian Institute of Technology Ropar -Email: -India" -17257fc03b611315ae49bd53d229188b889002e6,Hard Negative Mining for Metric Learning Based Zero-Shot Classification,"Hard Negative Mining for -Metric Learning Based Zero-Shot Classification -Maxime Bucher1,2, St´ephane Herbin1, Fr´ed´eric Jurie2 -ONERA - The French Aerospace Lab, Palaiseau, France -Normandie Univ, UNICAEN, ENSICAEN, CNRS, Caen, France" 1742e6c347037d5d4ccbdf5c7a27dfbf0afedb91,A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014 A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and @@ -12530,16 +10754,6 @@ Oncel Tuzel Yuichi Taguchi John R. Hershey Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA" -17e974f463ae01c518ffb1f77852b59dd8f78b56,Review of Different Face Recognition Techniques,"International Association of Scientific Innovation and Research (IASIR) -(An Association Unifying the Sciences, Engineering, and Applied Research) -ISSN (Print): 2279-0063 -ISSN (Online): 2279-0071 -International Journal of Software and Web Sciences (IJSWS) -www.iasir.net -Review of Different Face Recognition Techniques -Ravikant Gupta*, Dilip Dandotiya*, Satyendra Dhakad*, Yogesh Tayal**, Pramod kumar Pandey** -*M.Tech. Student of Electronics & Instrumentation Department, ITM University, Gwalior, India -**Faculty of Electronics & Instrumentation Department, ITM University, Gwalior, India" 17c62bff70eb0919864f111df4930062aded729a,Encoding Spatial Context in Local Image Descriptors,"Universit¨at des Saarlandes Max-Planck-Institut f¨ur Informatik Encoding Spatial Context in @@ -12670,12 +10884,6 @@ Xingjian Shi, Dit-Yan Yeung, Senior Member, IEEE" 11691f1e7c9dbcbd6dfd256ba7ac710581552baa,SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos,"SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos Silvio Giancola, Mohieddine Amine, Tarek Dghaily, Bernard Ghanem King Abdullah University of Science and Technology (KAUST), Saudi Arabia" -1134a6be0f469ff2c8caab266bbdacf482f32179,FACIAL EXPRESSION IDENTIFICATION USING FOUR-BIT CO-OCCURRENCE MATRIXFEATURES AND K-NN CLASSIFIER,"IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 -FACIAL EXPRESSION IDENTIFICATION USING FOUR-BIT CO- -OCCURRENCE MATRIXFEATURES AND K-NN CLASSIFIER -Bonagiri C S K Sunil Kumar1, V Bala Shankar2, Pullela S V V S R Kumar3 -,2,3 Department of Computer Science & Engineering, Aditya College of Engineering, Surampalem, East Godavari -District, Andhra Pradesh, India" 1174b869c325222c3446d616975842e8d2989cf2,CosFace: Large Margin Cosine Loss for Deep Face Recognition,"CosFace: Large Margin Cosine Loss for Deep Face Recognition Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li∗, and Wei Liu∗ @@ -12683,16 +10891,6 @@ Tencent AI Lab" 1172ce24f6e9242b9c26c84c6aa89a72ed8203d0,Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy,"Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy Dan Barnes, Will Maddern and Ingmar Posner" -1117073bba23f66717ca631e7077ad2b42f5c08b,Audio-Visual Speech Enhancement Using Multimodal Deep Convolutional Neural Networks,"Audio-Visual Speech Enhancement Using -Multimodal Deep Convolutional -Neural Networks -Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao, Member, IEEE, -Hsiu-Wen Chang, and Hsin-Min Wang, Senior Member, IEEE" -11d9bee72759e23f19117fc8cbb60b487e8ac79e,Benchmark Visual Question Answer Models by using Focus Map,"Benchmark Visual Question Answer Models by using Focus Map -Wenda Qiu -Yueyang Xianzang -Zhekai Zhang -Shanghai Jiaotong University" 1114c2aba97a5782a48341817811df2438d0fdbf,Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling,"Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling Peng Zhang∗, Shujian Yu∗, Student Member, IEEE, Jiamiao Xu, Xinge You†, Senior Member, IEEE, @@ -12742,9 +10940,6 @@ Lexington High School, KTByte Computer Science Academy" Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks Haanvid Lee, Minju Jung, and Jun Tani" -1183db5f409e8498d1a0f542703f908275a6dc34,Robust Visual Tracking and Vehicle Classification via Sparse Representation,"Robust Visual Tracking and Vehicle -Classification via Sparse Representation -Xue Mei and Haibin Ling, Member, IEEE" 11b00a4be68e9622d7b4698aca84da85aca3e288,Modeling Social Interactions in Real Work Environments,"Modeling Social Interactions in Real Work Environments Salvatore Vanini SUPSI-DTI @@ -12771,46 +10966,9 @@ Vipin Vijayan, Kevin W. Bowyer, and Patrick J. Flynn." 1169f3386a49daccbe199cccb518238a0130a537,"Analyzing Complex Events and Human Actions in ""in-the-wild"" Videos", 115724ce1ce9422dad095b301c7d096498ad50d3,The E2E Dataset: New Challenges For End-to-End Generation,"Saarbr¨ucken, Germany, 15-17 August 2017. c(cid:13)2017 Association for Computational Linguistics Proceedings of the SIGDIAL 2017 Conference, pages 201–206," -11606059047b2f3b2293a43af0a5eacd01830be0,Pedestrian detection from traffic scenes based on probabilistic models of the contour fragments,"Pedestrian detection from traffic scenes based on -probabilistic models of the contour fragments -Florin Florian, Ion Giosan, Sergiu Nedevschi -Computer Science Department -Technical University of Cluj-Napoca, Romania -Ion.Giosan," 1151a81118368e7596843b8db2508e4974fd7435,A Testbed for Cross-Dataset Analysis,"A Testbed for Cross-Dataset Analysis Tatiana Tommasi and Tinne Tuytelaars ESAT-PSI/VISICS - iMinds, KU Leuven, Belgium" -11943efec248fcac57ff6913424e230d0a02e977,Auxiliary Tasks in Multi-task Learning,"Auxiliary Tasks in Multi-task Learning -Lukas Liebel -Marco Körner -Computer Vision Research Group, Chair of Remote Sensing Technology -Technical University of Munich, Germany -{lukas.liebel, -Multi-task convolutional neural networks (CNNs) have shown impressive results for certain combinations of tasks, such -s single-image depth estimation (SIDE) and semantic segmentation. This is achieved by pushing the network towards -learning a robust representation that generalizes well to different atomic tasks. We extend this concept by adding -uxiliary tasks, which are of minor relevance for the application, to the set of learned tasks. As a kind of additional -regularization, they are expected to boost the performance of the ultimately desired main tasks. To study the proposed -pproach, we picked vision-based road scene understanding (RSU) as an exemplary application. Since multi-task -learning requires specialized datasets, particularly when using extensive sets of tasks, we provide a multi-modal dataset -for multi-task RSU, called synMT. More than 2.5 · 105 synthetic images, annotated with 21 different labels, were -cquired from the video game Grand Theft Auto V (GTA V). Our proposed deep multi-task CNN architecture was -trained on various combination of tasks using synMT. The experiments confirmed that auxiliary tasks can indeed boost -network performance, both in terms of final results and training time. -Introduction -Various applications require solving several atomic tasks from -the computer vision domain using a single image as input. Such" -11811c547fe91e63547cc7081a859d13b4752f90,Designing Efficient Multimodal Classification Systems Based on Features and Svm Kernels Selection,"Volume 57, Number 3, 2016 ACTA TECHNICA NAPOCENSIS -Electronics and Telecommunications -________________________________________________________________________________ -DESIGNING EFFICIENT MULTIMODAL CLASSIFICATION SYSTEMS -BASED ON FEATURES AND SVM KERNELS SELECTION -Anca APATEAN -Technical University of Cluj-Napoca, Communications Department -Address, Phone and Fax Numbers, Email" -1119b4b038fd7d1d337d4aee232dea6c56f20cf1,A Sparse Embedding and Least Variance Encoding Approach to Hashing,"A Sparse Embedding and Least Variance Encoding -Approach to Hashing -Xiaofeng Zhu, Lei Zhang, Member, IEEE, Zi Huang" 1120e88663a38ed05120af378f57ecf557660160,Generic Object Crowd Tracking by Multi-Task Learning,"LUOETAL.:GENERICOBJECTCROWDTRACKINGBYMULTI-TASKLEARNING Generic Object Crowd Tracking by Multi-Task Learning @@ -12821,11 +10979,6 @@ http://www.iis.ee.ic.ac.uk/~tkkim Department of Electrical and Electronic Engineering, Imperial College, London, UK" -11fe6d45aa2b33c2ec10d9786a71c15ec4d3dca8,Tied Factor Analysis for Face Recognition across Large Pose Differences,"JUNE 2008 -Tied Factor Analysis for Face Recognition -cross Large Pose Differences -Simon J.D. Prince, Member, IEEE, James H. Elder, Member, IEEE, -Jonathan Warrell, Member, IEEE, and Fatima M. Felisberti" 11155ee686bfb675816a2acdf5a8ddf06e67b65f,EmoDetect – Smart Emotion Detection from Facial Expressions,"EmoDetect – Smart Emotion Detection from Facial Expressions Rishabh Animesh Skand Hurkat @@ -12841,10 +10994,6 @@ Vishwajeet Singh1, Killamsetti Ravi Kumar2, K Eswaran3 ALPES, Bolarum, Hyderabad 500010, ALPES, Bolarum, Hyderabad 500010, SNIST, Ghatkesar, Hyderabad 501301," -11d04269aa147450f37215beb3ae44207daf3511,Using Visual Context and Region Semantics for High-Level Concept Detection,"Using Visual Context and Region Semantics for -High-Level Concept Detection -Phivos Mylonas, Member, IEEE, Evaggelos Spyrou, Student Member, IEEE, Yannis Avrithis, Member, IEEE, and -Stefanos Kollias, Member, IEEE" 111f2f1255fa9e5a82753bf5b3f2f0974e87f86d,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms {tag} {/tag} International Journal of Computer Applications @@ -12978,11 +11127,6 @@ Hang Chu1 Daiqing Li1 Sanja Fidler1 University of Toronto 2Vector Institute {chuhang1122, daiqing," -2cce7a5289c4124d9b23fe67963f3d635b63091c,Towards intent dependent image enhancement - state-of-the-art and recent attempts,"TOWARDS INTENT DEPENDENT IMAGE ENHANCEMENT -State-of-the-art and Recent Attempts -Marco Bressan, Gabriela Csurka and Sebastien Favre -Xerox Research Centre Europe, 6, ch. de Maupertuis, 38240 Meylan, France -Keywords:" 2c564f5241b0905baafc3677e7ca15c27fd2c6e7,An Integrated Approach to Contextual Face Detection,"AN INTEGRATED APPROACH TO CONTEXTUAL FACE DETECTION. Santi Segu´ı1, Michal Drozdzal1,2, Petia Radeva1,2 and Jordi Vitri`a1,2 @@ -13021,26 +11165,6 @@ Department of Electrical and Computer Engineering, Babol Noushirvani University Reza Ghaderi Department of nuclear Engineering, Shahid Beheshti University of Tehran, Tehran, Iran Received: 27/Jul/2016 Revised: 07/Jan/2017 Accepted: 14/Jan/2017" -2c07d9a383e0bb7e1c8ba07084ba8bcf71af2aad,Robust Ear Recognition via Nonnegative Sparse Representation of Gabor Orientation Information,"Hindawi Publishing Corporation -e Scientific World Journal -Volume 2014, Article ID 131605, 11 pages -http://dx.doi.org/10.1155/2014/131605 -Research Article -Robust Ear Recognition via Nonnegative Sparse Representation -of Gabor Orientation Information -Baoqing Zhang, Zhichun Mu, Hui Zeng, and Shuang Luo -School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China -Correspondence should be addressed to Zhichun Mu; muzc -Received 21 December 2013; Accepted 18 January 2014; Published 24 February 2014 -Academic Editors: S. Kobashi and A. Materka -Copyright © 2014 Baoqing Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, -which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -Orientation information is critical to the accuracy of ear recognition systems. In this paper, a new feature extraction approach is -investigated for ear recognition by using orientation information of Gabor wavelets. The proposed Gabor orientation feature can -not only avoid too much redundancy in conventional Gabor feature but also tend to extract more precise orientation information of -the ear shape contours. Then, Gabor orientation feature based nonnegative sparse representation classification (Gabor orientation -+ NSRC) is proposed for ear recognition. Compared with SRC in which the sparse coding coefficients can be negative, the -nonnegativity of NSRC conforms to the intuitive notion of combining parts to form a whole and therefore is more consistent" 2c786b32a621a52fc7d00499e4b056f149a4fba7,Face Recognition with Decision Tree-Based Local Binary Patterns,"Face Recognition with Decision Tree-based Local Binary Patterns Daniel Maturana, Domingo Mery and ´Alvaro Soto @@ -13108,12 +11232,6 @@ models can be used to select a subject’s best expressions across a range of em 2c72096bbecd70000f919b1cec3f31a649c94fd5,Neural Network Interpretation via Fine Grained Textual Summarization,"Neural Network Interpretation via Fine-Grained Textual Summarization Pei Guo, Connor Anderson, Kolton Pearson, Ryan Farrell Brigham Young University" -2c5d1e0719f3ad7f66e1763685ae536806f0c23b,AENet: Learning Deep Audio Features for Video Analysis,"AENet: Learning Deep Audio Features for Video -Analysis -Naoya Takahashi, Member, IEEE, Michael Gygli, Member, IEEE, and Luc Van Gool, Member, IEEE" -2cdc1b728c90d4da31f924879a39d00008d52daa,A Side of Data with My Robot : Three Datasets for Mobile Manipulation in Human Environments,"A Side of Data with My Robot: Three Datasets for Mobile Manipulation in Human Environments -Matei Ciocarlie, Member, IEEE, Caroline Pantofaru, Member, IEEE, Kaijen Hsiao, Member, IEEE, -Gary Bradski, Member, IEEE, Peter Brook, and Ethan Dreyfuss" 2c2bf22e2f0a1817475aefb37e0c4e0404e8d479,Structured Prediction of 3D Human Pose with Deep Neural Networks,"TEKIN ET AL.: STRUCTURED PREDICTION OF 3D HUMAN POSE Structured Prediction of 3D Human Pose with Deep Neural Networks @@ -13140,11 +11258,6 @@ Xucong Zhang, Yusuke Sugano∗, Mario Fritz, Andreas Bulling" 2c0a71b5e111d2c7d99c3f23989d317a0d845adc,N-best maximal decoders for part models,"N-best maximal decoders for part models Dennis Park Deva Ramanan UC Irvine" -2c86443519b46c83073b17c6a98da0fe781a2730,Confidence Propagation through CNNs for Guided Sparse Depth Regression.,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 -Confidence Propagation through CNNs for -Guided Sparse Depth Regression -Abdelrahman Eldesokey, Student Member, IEEE, Michael Felsberg, Senior Member, IEEE, -nd Fahad Shahbaz Khan, Member, IEEE" 2c2786ea6386f2d611fc9dbf209362699b104f83,Title of Dissertation Local Feature Representations for Facial Expression Recognition Based on Differences of Gray Color Values of Neighboring Pixels,1)LOCAL FEATURE REPRESENTATIONS FOR FACIAL EXPRESSION RECOGNITION BASED ON DIFFERENCES OF GRAY COLOR VALUES OF NEIGHBORING PIXELS Mohammad Shahidul Islam A Dissertation Submitted in Partial Fulfillment of the Requirement for the Degree of Doctor of Philosophy (Computer Science and Information Systems) School of Applied Statistics National Institute of Development Administration 2013 2c93c8da5dfe5c50119949881f90ac5a0a4f39fe,Advanced local motion patterns for macro and micro facial expression recognition,"Advanced local motion patterns for macro and micro facial expression recognition @@ -13190,10 +11303,6 @@ Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa Departamento de Informática Caparica, Portugal" -2c5b5a5e4b8cd001e535118c2fa90bff95d51648,Combining Facial Dynamics With Appearance for Age Estimation,"Combining Facial Dynamics With Appearance -for Age Estimation -Hamdi Dibeklio˘glu, Member, IEEE, Fares Alnajar, Student Member, IEEE, -Albert Ali Salah, Member, IEEE, and Theo Gevers, Member, IEEE" 2c1cd58790cf07d5fa7f1f1f096023a993a6ead3,"Improving 3 D perception for Object Detection , Classification and Localization using Fused Multi-modal Sensors","Improving 3D perception for Object Detection, Classification and Localization using Fused Multi-modal Sensors @@ -13237,16 +11346,6 @@ Department of Electrical Engineering - EESC/USP Email:" 2c7932c2096669113328a75d1ad1d1bfb8f86ad0,Multi30K: Multilingual English-German Image Descriptions,"Proceedings of the 5th Workshop on Vision and Language, pages 70–74, Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics" -2c34bf897bad780e124d5539099405c28f3279ac,Robust Face Recognition via Block Sparse Bayesian Learning,"Robust Face Recognition via Block Sparse Bayesian Learning -Taiyong Li1,2, Zhilin Zhang3,4,∗ -School of Financial Information Engineering, Southwestern University of Finance and Economics, Chengdu 610074, -China -Institute of Chinese Payment System, Southwestern University of Finance and Economics, Chengdu 610074, China -Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093-0407, -Samsung R&D Institute America - Dallas, 1301 East Lookout Drive, Richardson, TX 75082, USA" -2c8f24f859bbbc4193d4d83645ef467bcf25adc2,Classification in the Presence of Label Noise: A Survey,"Classification in the Presence of -Label Noise: a Survey -Benoît Frénay and Michel Verleysen, Member, IEEE" 2c7b72d0b66074bff2f0b3493673a51f6f094d5f,A biometric verification system based on the fusion of palmprint and face features,"A Biometric Verification System Based on the Fusion of Palmprint and Face Features Slobodan Ribaric, Ivan Fratric and Kristina Kis @@ -13466,24 +11565,7 @@ Neural Network for Fast Object Detection Zhaowei Cai1, Quanfu Fan2, Rogerio S. Feris2, and Nuno Vasconcelos1 SVCL, UC San Diego IBM T. J. Watson Research" -833a2c168849697aae3589bbeef0cbca22808fe8,"Quantity, Contrast, and Convention in Cross-Situated Language Comprehension","Proceedings of the 19th Conference on Computational Language Learning, pages 226–236, -Beijing, China, July 30-31, 2015. c(cid:13)2015 Association for Computational Linguistics" 8399c71abc9a820bacd9c4e21c85c461c0b830b3,"Adaboost with ""Keypoint Presence Features"" for Real-Time Vehicle Visual Detection","Author manuscript, published in ""16th World Congress on Intelligent Transport Systems (ITSwc'2009), Sweden (2009)""" -83d1617092b34804c3825fdf4292120c382fe043,Appearance-Based Multimodal Human Tracking and Identification for Healthcare in the Digital Home,"Sensors 2014, 14, 14253-14277; doi:10.3390/s140814253 -OPEN ACCESS -sensors -ISSN 1424-8220 -www.mdpi.com/journal/sensors -Article -Appearance-Based Multimodal Human Tracking and -Identification for Healthcare in the Digital Home -Mau-Tsuen Yang * and Shen-Yen Huang -Department of Computer Science & Information Engineering, National Dong-Hwa University, No. 1, -Sec. 2, Da-Hsueh Rd., Shoufeng, Hualien 974, Taiwan; E-Mail: -* Author to whom correspondence should be addressed; E-Mail: -Tel.: +886-3-863-4028; Fax: +886-3-863-4010. -Received: 2 April 2014; in revised form: 3 July 2014 / Accepted: 8 July 2014 / -Published: 5 August 2014" 83b20fdd3eafd21a6971dacc73d85c484a093bfc,Interleaved Structured Sparse Convolutional Neural Networks,"Interleaved Structured Sparse Convolutional Neural Networks Guotian Xie1,2,∗ Jingdong Wang3† Ting Zhang3 Jianhuang Lai1,2 Richang Hong4 Guo-Jun Qi5 @@ -13494,12 +11576,6 @@ Automatic Person Identification using Multiple Cues Danuwat Swangpol and Thanarat Chalidabhongse Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand (Tel: +66-2-737-2551; E-mail: ," -83c19722450e8f7dcb89dabb38265f19efafba27,A framework with updateable joint images re-ranking for Person Re-identification.,"A framework with updateable joint images re-ranking for Person -Re-identification -Yuan Mingyue1,2 Yin Dong1,2* Ding Jingwen1,3* Luo Yuhao1,2 Zhou Zhipeng1,2 -Zhu Chengfeng1,2 Zhang Rui1,2 -School of Information Science Technology, USTC, Hefei, Anhui 230027, China -Key Laboratory of Electromagnetic Space Information of CAS, Hefei, Anhui 230027, China" 838420cebfdad4e93221f8fe203c09155983141a,Subspace Alignment Based Domain Adaptation for RCNN Detector,"RAJ, NAMBOODIRI, TUYTELAARS: ADAPTING RCNN DETECTOR Subspace Alignment Based Domain Adaptation for RCNN Detector @@ -13515,20 +11591,6 @@ Kanpur, India. ESAT, PSI-VISICS KU Leuven, Heverlee, Belgium" -8326b11dd0b81dcc169ce21fc12e0c9d632db6bd,Recognition : A Unified Approach on Tracking and Recognition,"ISSN: 2321-8169 -International Journal on Recent and Innovation Trends in Computing and Communication -Volume: 2 Issue: 11 -3532 – 3539 -_______________________________________________________________________________________________ -Tracking and Recognition: A Unified Approach on Tracking and Recognition -Ms. Anuja V. Vaidya -Dr. Mrs. S.B. Patil -Dept. of Electronics & Communication -Dept of Electronics & Communication -Dr. J.J. Magdum College of Engg. Jaysingpur, -Dr. J.J. Magdum College of Engg. Jaysingpur, -Maharashtra, India -Maharashtra, India" 83cc0768927dfdac32f2d5753cf70ac23b7cddeb,BLACKFACE SURVEILLANCE CAMERA DATABASE FOR EVALUATING FACE RECOGNITION IN LOW QUALITY SCENARIOS,"ISSN: Print - 2277 - 0593 Online - 2315 - 7461 @@ -13568,26 +11630,6 @@ Liuyuan Deng, Ming Yang, Hao Li, Tianyi Li, Bing Hu, Chunxiang Wang" Lightweight OpenPose Daniil Osokin Intel" -83bdd4e4993d5213a3dd1fb3dc69c40eee643a6a,Review : Recent Structure-From-Motion Algorithms 3 D Shape Reconstruction,"IJCSNS International Journal of Computer Science and Network Security, VOL.16 No.4, April 2016 -Review: Recent Structure-From-Motion Algorithms 3D Shape -Reconstruction -University College of Engineering Khammam, INDIA -K. Punnam Chandar -Dept. of E.C.E -T. Satya Savithri -Dept. of E.C.E J.N.T.U Hyderabad, INDIA -limit -their deployment -is an active area of -ameras and the other is reconstructing the 3D face model -from 2D images. The high cost of the 3D depth sensing -ameras -in multimedia and -surveillance applications. The alternative is to develop -lgorithms to reconstruct the 3D face model from 2D -images and -research. The -reconstruction accuracy depends on the quality of the 2D" 833cd4265bd8162d3cfb483ce8f31eaef28e7a2e,TOWARDS EFFECTIVE GANS,"Under review as a conference paper at ICLR 2018 TOWARDS EFFECTIVE GANS FOR DATA DISTRIBUTIONS WITH DIVERSE MODES @@ -13691,11 +11733,6 @@ A thesis submitted in partial fulfillment of the requirements for the de- gree of Magister Scientiae in the Department of Computer Science, University of the Western Cape. May 2006" -83df0ec6071dfda29da831860fdb2a1f19a6b3bc,3D Face Recognition Using Joint Differential Invariants,"D Face Recognition Using Joint Differential -Invariants -Marinella Cadoni1, Manuele Bicego1,2, and Enrico Grosso1 -Computer Vision Laboratory, DEIR, University of Sassari, Italy -Computer Science Dept., University of Verona, Italy" 834f5ab0cb374b13a6e19198d550e7a32901a4b2,Face Translation between Images and Videos using Identity-aware CycleGAN,"Face Translation between Images and Videos using Identity-aware CycleGAN Zhiwu Huang†, Bernhard Kratzwald†, Danda Pani Paudel†, Jiqing Wu†, Luc Van Gool†‡ Computer Vision Lab, ETH Zurich, Switzerland @@ -13720,11 +11757,6 @@ June 9, 2016" in cities using deep learning and computer vision Mohamed R. Ibrahim1, James Haworth2 and Tao Cheng3 Department of Civil, Environmental and Geomatic Engineering, University College London (UCL)" -83968f81f23a34e18e850fe2cf68bab51e22e35c,Attention-driven parts-based object detection,"Attention-Driven Parts-Based Object Detection -Ilkka Autio & J.T. Lindgren -Department of Computer Science -University of Helsinki -Finland" 83fd5c23204147844a0528c21e645b757edd7af9,USDOT number localization and recognition from vehicle side-view NIR images,"USDOT Number Localization and Recognition From Vehicle Side-View NIR Images Orhan Bulan, Safwan Wshah, Ramesh Palghat, Vladimir Kozitsky and Aaron Burry @@ -13837,26 +11869,6 @@ TTI-Chicago" bb288a5c653659411f95ef5db8e1ad652e0a8173,Learning Depth From Single Images With Deep Neural Network Embedding Focal Length,"Learning Depth from Single Images with Deep Neural Network Embedding Focal Length Lei He, Guanghui Wang (Senior Member, IEEE) and Zhanyi Hu" -bb451dc2420e1a090c4796c19716f93a9ef867c9,A Review on : Automatic Movie Character Annotation by Robust Face-Name Graph Matching,"International Journal of Computer Applications (0975 – 8887) -Volume 104 – No.5, October 2014 -A Review on: Automatic Movie Character Annotation -y Robust Face-Name Graph Matching -Bhandare P.S. -Research Scholar -Sinhgad College of -Engineering, korti, Pandharpur, -Solapur University, INDIA -Gadekar P.R. -Assistant Professor -Sinhgad College of -Engineering, korti, Pandharpur, -Solapur University, INDIA -Bandgar Vishal V. -Assistant Professor -College of Engineering (Poly), -Pandharpur, Solapur, INDIA -Bhise Avdhut S. -HOD, Department of" bba22e04fbe124bf58330e5d911d873a80afa0eb,Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection,"Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection Centro de Investigaci´on en Matem´aticas - Universidad de Guanajuato @@ -13913,9 +11925,6 @@ Guildford, GU2 7XH, UK Email: [ponti, leonardo.sampaio.ribeiro, Email: [t.bui, tools," -bb7c093c41fcec269b6a7a950902cc95429bb289,Robust video object tracking via Bayesian model averaging based feature fusion,"Robust video object tracking via Bayesian model -veraging based feature fusion -Yi Dai, Bin Liu, Member, IEEE" bb22104d2128e323051fb58a6fe1b3d24a9e9a46,Analyzing Facial Expression by Fusing Manifolds,")=OEC .=?E= -NFHAIIE >O .KIEC 9A;= +D=C1,2 +DK5C +DA1,3 ;E2EC 0KC1,2,3 1IJEJKJA B 1BH=JE 5?EA?A 5EE?= 6=EM= @@ -13938,10 +11947,6 @@ ABBA?JELAAII B KH =CHEJD A=EEC DK= AJEI F=OI = EFHJ=J HA E DK= ?KE?=JE 6" bb08d1570685a20861e9b8c15c57aae9c01d3eac,Modeling cooperative navigation in dense human crowds,"Modeling Cooperative Navigation in Dense Human Crowds Anirudh Vemula1, Katharina Muelling1 and Jean Oh1" -bbc76f0e50ab96e7318816e24c65fd3459d0497c,Survey of Pedestrian Detection for Advanced Driver Assistance Systems,"JULY 2010 -Survey of Pedestrian Detection for -Advanced Driver Assistance Systems -David Gero´ nimo, Antonio M. Lo´ pez, Angel D. Sappa, Member, IEEE, and Thorsten Graf" bbd1eb87c0686fddb838421050007e934b2d74ab,Look at Boundary: A Boundary-Aware Face Alignment Algorithm,"(68 points) COFW (29 points) AFLW (19 points) Figure1:Thefirstcolumnshowsthefaceimagesfromdifferentdatasetswithdifferentnumberoflandmarks.Thesecondcolumnillustratestheuniversallydefinedfacialboundariesestimatedbyourmethods.Withthehelpofboundaryinformation,ourapproachachieveshighaccuracylocalisationresultsacrossmultipledatasetsandannotationprotocols,asshowninthethirdcolumn.Differenttofacedetection[45]andrecognition[75],facealignmentidentifiesgeometrystructureofhumanfacewhichcanbeviewedasmodelinghighlystructuredout-put.Eachfaciallandmarkisstronglyassociatedwithawell-definedfacialboundary,e.g.,eyelidandnosebridge.However,comparedtoboundaries,faciallandmarksarenotsowell-defined.Faciallandmarksotherthancornerscanhardlyremainthesamesemanticallocationswithlargeposevariationandocclusion.Besides,differentannotationschemesofexistingdatasetsleadtoadifferentnumberoflandmarks[28,5,66,30](19/29/68/194points)andanno-tationschemeoffuturefacealignmentdatasetscanhardlybedetermined.Webelievethereasoningofauniquefacial" bbc8254b170918d619574496c138dac101dee61f,Context-aware robot navigation using interactively built semantic maps,"Research Article Akansel Cosgun* and Henrik I. Christensen @@ -13966,11 +11971,6 @@ bb6ac4e26499dea5bdedb05b269f40f56247b4c6,An Action Unit based Hierarchical Rando bb7f2c5d84797742f1d819ea34d1f4b4f8d7c197,From Images to 3D Shape Attributes.,"TO APPEAR IN TPAMI From Images to 3D Shape Attributes David F. Fouhey, Abhinav Gupta, Andrew Zisserman" -bb97664df153ac563e46ec2233346129cafe601b,A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance,"A study on the use of Boundary Equilibrium GAN for Approximate -Frontalization of Unconstrained Faces to aid in Surveillance -Wazeer Zulfikar, Sebastin Santy, Sahith Dambekodi and Tirtharaj Dash -BITS Pilani - KK Birla Goa Campus, Goa, India -{f20150003, f20150357, f20150192," 587f81ae87b42c18c565694c694439c65557d6d5,DeepFace : Face Generation using Deep Learning,"DeepFace: Face Generation using Deep Learning Hardie Cate Fahim Dalvi @@ -13983,13 +11983,6 @@ University of T¨ubingen, T¨ubingen, Germany Leibniz-Institut f¨ur Wissensmedien, T¨ubingen, Germany Hector Research Institute of Education Sciences and Psychology, T¨ubingen, Germany" -58542eeef9317ffab9b155579256d11efb4610f2,"Face Recognition Revisited On Pose , Alignment , Color , Illumination And Expression-Pyten","International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611 -Face Recognition Revisited on Pose, Alignment, -Color, Illumination and Expression-PyTen -Mugdha Tripathi -Computer Science, BIT Noida, India" 58d16e23e1192be4acaf6a29c1f5995817146554,Bringing back simplicity and lightliness into neural image captioning,"Bringing back simplicity and lightliness into neural image captioning Jean-Benoit Delbrouck and St´ephane Dupont {jean-benoit.delbrouck, @@ -14025,15 +12018,6 @@ Dojun Yang Joon-Ho Kim Samsung Research, Samsung Electronics {hyun0772.lee, joody.kim, dojun.yang," -58db008b204d0c3c6744f280e8367b4057173259,Facial Expression Recognition,"International Journal of Current Engineering and Technology -ISSN 2277 - 4106 -© 2012 INPRESSCO. All Rights Reserved. -Available at http://inpressco.com/category/ijcet -Research Article -Facial Expression Recognition -Riti Kushwahaa and Neeta Naina* -Department of Computer Engineering Malaviya National Institute of Technology, Jaipur, Rajasthan, India -Accepted 3June 2012, Available online 8 June 2012" 58fa85ed57e661df93ca4cdb27d210afe5d2cdcd,Facial expression recognition by re-ranking with global and local generic features,"Cancún Center, Cancún, México, December 4-8, 2016 978-1-5090-4847-2/16/$31.00 ©2016 IEEE" 587b607a176588b4646bcdb3d60b6204e98806fe,Extraction in Volumetric Bioimages A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Electrical Engineering,"UNIVERSITY OF CALIFORNIA @@ -14123,27 +12107,6 @@ Hangzhou Normal University Frédéric Gosselin Université de Montréal Caroline Blais" -58970f1f51432a094faaeb3f4f70aa1778d61a42,Face Alignment Via Component-Based Discriminative Search,"Face Alignment via Component-based Discriminative -Search -Lin Liang -Rong Xiao -Fang Wen -Jian Sun -Microsoft Research Asia -Beijing, China" -5872a8ae1879c3f20d94e7cc5a4fcef47b654c7e,Sparse Matching of Salient Facial Curves for Recognizing 3 D Faces,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Index Copernicus Value (2015): 78.96 | Impact Factor (2015): 6.391 -Sparse Matching of Salient Facial Curves for -Recognizing 3D Faces -Madhura Patil1, L. J. Sankpal2 -Pune University, Sinhgad Academy of Engineering, Kondhwa, Pune 411048, India -Professor, Pune University, Sinhgad Academy of Engineering, Kondhwa, Pune 411048 -cknowledgment -unique mark -cknowledgment. -increase acquisition commotion -furthermore" 5860cf0f24f2ec3f8cbc39292976eed52ba2eafd,COMPUTATION EvaBio : A TOOL FOR PERFORMANCE EVALUATION IN BIOMETRICS,"International Journal of Automated Identification Technology, 3(2), July-December 2011, pp. 51-60 COMPUTATION EvaBio: A TOOL FOR PERFORMANCE EVALUATION IN BIOMETRICS @@ -14236,22 +12199,8 @@ Sinc(i)-FICH-UNL, CONICET, Ciudad Universitaria UNL - Santa Fe (Argentina) Laboratorio de Cibern´etica-FI-UNER, C.C. 47 Suc. 3-3100, Entre R´ıos (Argentina)" 5882e62866fe1fcf7f8458e0bd0bcb39057afce3,Attention to Head Locations for Crowd Counting,"Attention to Head Locations for Crowd Counting Youmei Zhang, Chunluan Zhou, Faliang Chang, and Alex C. Kot, Fellow Member, IEEE" -58a5c2f9f60bdc6ab640767cb21fd6ba04eef5d7,Towards a Unified 3 D Affective Model,"Towards a Unified 3D Affective Model -Kuderna-Iulian Benţa1, Hannelore-Inge Lisei2, Marcel Cremene1 -Technical University of Cluj-Napoca, 400016 Cluj-Napoca, România, -“Babeş-Bolyai“ University, 400084 Cluj-Napoca, România, -{Iulian.Benta, Marcel.Cremene," 58a6eb3584b2f5df2f25d39a218904d510cae516,The UAVid Dataset for Video Semantic Segmentation,"The UAVid Dataset for Video Semantic Segmentation Ye Lyu1, George Vosselman1, Guisong Xia2, Alper Yilmaz3, Michael Ying Yang1∗" -58a3d1e4745d047429facc96685d31da86eaccd4,AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving,"AuxNet: Auxiliary tasks enhanced -Semantic Segmentation for Automated Driving -Sumanth Chennupati1,3, Ganesh Sistu2, Senthil Yogamani2 and Samir Rawashdeh3 -Valeo Troy, United States -Valeo Vision Systems, Ireland -{sumanth.chennupati, -University of Michigan-Dearborn -Keywords: -Semantic Segmentation, Multitask Learning, Auxiliary Tasks, Automated Driving." 0dccc881cb9b474186a01fd60eb3a3e061fa6546,Effective face frontalization in unconstrained images,"Effective Face Frontalization in Unconstrained Images Tal Hassner1, Shai Harel1 †, Eran Paz1 † and Roee Enbar2 The open University of Israel. 2Adience. @@ -14297,21 +12246,6 @@ Hadidc Centre de D(cid:19)eveloppement des Technologies Avanc(cid:19)ees (DZ), Ecole Nationale Sup(cid:18)erieure d’Informatique (DZ), University of Oulu (FI)" -0dfb47e206c762d2f4caeb99fd9019ade78c2c98,Custom Pictorial Structures for Re-identification,"CHENG et al.: CUSTOM PICTORIAL STRUCTURES FOR RE-IDENTIFICATION -Custom Pictorial Structures for -Re-identification -Dong Seon Cheng1 -Marco Cristani1,2 -Michele Stoppa2 -Loris Bazzani1 -Vittorio Murino1,2 -http://profs.sci.univr.it/~swan -Dipartimento di Informatica -University of Verona -Italy -Istituto Italiano di Tecnologia -Via Morego, 30 -6163 Genova, Italy" 0d96c9d14f079b7b8b6b56b4fa86f611a4ff237f,Semi-supervised low-rank mapping learning for multi-label classification,"Semi-supervised Low-Rank Mapping Learning for Multi-label Classification Liping Jing1, Liu Yang1, Jian Yu1, Michael K. Ng2 Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University. 2Department of Mathematics, Hong Kong Baptist University. @@ -14414,12 +12348,6 @@ Northwestern Polytechincal University, 2Xidian University, 3Carnegie Mellon Univ Emilien Dupont Suhas Suresha Schlumberger Software Technology Innovation Center" -0d21472dbf20d4c1bd48a15267b4a59eff80e309,Multi-component models for object detection,"Multi-component Models for Object Detection -Chunhui Gu1, Pablo Arbel´aez2, Yuanqing Lin3, Kai Yu4, and Jitendra Malik2 -Google Inc., Mountain View, CA, USA -UC Berkeley, Berkeley, CA, USA -NEC Labs America, Cupertino, CA, USA -Baidu Inc., Beijing, China" 0df347f5e3118fac7c351917e3a497899b071d1e,Datasheets for Datasets,"Datasheets for Datasets Timnit Gebru 1 Jamie Morgenstern 2 Briana Vecchione 3 Jennifer Wortman Vaughan 1 Hanna Wallach 1 Hal Daumé III 1 4 Kate Crawford 1 5" @@ -14525,13 +12453,6 @@ Jing Xiao† Tony X. Han∗ Dept. of ECE, Univ. of Missouri Columbia, MO, USA" -0d33b6c8b4d1a3cb6d669b4b8c11c2a54c203d1a,Detection and Tracking of Faces in Videos: A Review of Related Work,"Detection and Tracking of Faces in Videos: A Review -© 2016 IJEDR | Volume 4, Issue 2 | ISSN: 2321-9939 -of Related Work -Seema Saini, 2 Parminder Sandal -Student, 2Assistant Professor -, 2Dept. of Electronics & Comm., S S I E T, Punjab, India -________________________________________________________________________________________________________" 0db787317ba0d63ec8f9918905e7db181a489026,Automatic Eye Localization in Color Images,"Automatic Eye Localization in Color Images José Gilvan Rodrigues Maia1, Fernando de Carvalho Gomes1, Osvaldo de Souza2 Departamento de Computação – Universidade Federal do Ceará (UFC) @@ -14595,10 +12516,6 @@ http://pss.sagepub.com Lisa Feldman Barrett1,2,3 and Elizabeth A. Kensinger1,3 Boston College; 2Psychiatric Neuroimaging Program, Massachusetts General Hospital, Harvard Medical School; and 3Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School" -0dd74bbda5dd3d9305636d4b6f0dad85d6e19572,Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach,"Heterogeneous Face Attribute Estimation: -A Deep Multi-Task Learning Approach -Hu Han, Member, IEEE, Anil K. Jain, Fellow, IEEE, Fang Wang, -Shiguang Shan, Senior Member, IEEE and Xilin Chen, Fellow, IEEE" 0d2a9f3357717e0a44eb82d5eabfc047cc4d46f1,Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification,"Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification Roghayeh Soleymani1, Eric Granger1 and Giorgio Fumera2 @@ -14646,11 +12563,6 @@ Ryan Farrell1,2 Forrest Iandola1 ICSI / UC Berkeley 2Brigham Young University Trevor Darrell1" -0d6b28691e1aa2a17ffaa98b9b38ac3140fb3306,Review of Perceptual Resemblance of Local Plastic Surgery Facial Images using Near Sets,"Review of Perceptual Resemblance of Local -Plastic Surgery Facial Images using Near Sets -Prachi V. Wagde1, Roshni Khedgaonkar2 -,2 Department of Computer Technology, -YCCE Nagpur, India" 0da611ca979327840161df87564fd07299c268b5,Bodyprint: Biometric User Identification on Mobile Devices Using the Capacitive Touchscreen to Scan Body Parts,"Bodyprint Biometric User Identification on Mobile Devices Using the Capacitive Touchscreen to Scan Body Parts @@ -14723,17 +12635,6 @@ FaceID-BOINC: adapta¸c˜ao de algoritmos de reconhecimento facial (eigenfaces) em m´aquinas multicore e GPUs integrado num cliente para plataforma BOINC Nuno Miguel Abreu Teixeira - 55397 Instituto Superior T´ecnico" -b6aaaf6290ba0ca13be61d122907617f1ea86315,Embedded Face Recognition Using Cascaded Structures PROEFSCHRIFT,"Embedded Face Recognition -Using Cascaded Structures -PROEFSCHRIFT -ter verkrijging van de graad van doctor aan de -Technische Universiteit Eindhoven, op gezag van de -Rector Magnificus, prof.dr.ir. C.J. van Duijn, voor een -ommissie aangewezen door het College voor -Promoties in het openbaar te verdedigen op -dinsdag 3 oktober 2006 om 16.00 uur -Fei Zuo -geboren te Xi’an, China" b6aaef3be3e93a5429511011b3fcf1c768521efc,Car Detection and Tracking from a Vehicle Driving on a Roundabout,"Bachelor thesis Czech Technical @@ -14792,10 +12693,6 @@ Christian Banz, Peter Pirsch, and Holger Blume Institute of Microelectronic Systems Leibniz Universität Hannover, Hannover, Germany KEY WORDS: Stereoscopic, Quality, Matching, Vision, Reconstruction, Camera, Disparity Estimation, Semi-Global Matching" -b613b30a7cbe76700855479a8d25164fa7b6b9f1,Identifying User-Specific Facial Affects from Spontaneous Expressions with Minimal Annotation,"Identifying User-Specific Facial Affects from -Spontaneous Expressions with Minimal Annotation -Michael Xuelin Huang, Grace Ngai, Kien A. Hua, Fellow, IEEE, Stephen C.F. Chan, Member, IEEE -nd Hong Va Leong, Member, IEEE Computer Society" b6dc1cd3cabdfea7363d41773a315a0d241dc836,Local Context Priors for Object Proposal Generation,"Local Context Priors for Object Proposal Generation Marko Ristin1, Juergen Gall2, and Luc Van Gool1,3 @@ -14810,9 +12707,6 @@ the date of receipt and acceptance should be inserted later" b68dfa8723be662e6af76bef159ed929bf8a1a2f,Distance weighted discrimination of face images for gender classification,"Distance weighted discrimination of face images for gender classification Mónica Benito1, Eduardo García-Portugués1,4, J. S. Marron2, and Daniel Peña1,3" -b6d794f73ef7f2a6ffb4738a7dee334f512046bf,Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey,"Deep Learning Algorithms with Applications to -Video Analytics for A Smart City: A Survey -Li Wang, Member, IEEE, and Dennis Sng" b6fd905efd5da32bd32047896074a821477cb564,An Human Perceptive Model for Person Re-identification,"An Human Perceptive Model for Person Re-identification Angelo Cardellicchio1, Tiziana D’Orazio1, Tiziano Politi2 and Vito Ren`o1 National Research Council, Institute of Intelligent Systems for Automation, Bari, Italia @@ -14876,22 +12770,6 @@ Semantics Nipun Bhatia, Rakshit Kumar, Samir Menon Department of Computer Science, Stanford University. December 14, 2007" -b69f7660985be23abda72990cb1f367778960275,Object Recognition based on Principal Component Analysis to Image Patches,"International Journal of Scientific & Engineering Research, Volume 4, Issue 6, June-2013 1096 -ISSN 2229-5518 -Object Recognition based on Principal -Component Analysis to Image Patches -R.Ahilapriyadharsini -Mepco Schlenk Engineering -College, -Sivakasi, India -S.Arivazhagan -M.Gowthami -Mepco Schlenk Engineering -Renganayagi Varatharaj College of -College, -Sivakasi, India -Engineering, Salvarpatti, -Sivakasi, India." b67e0ae9d64ec06b3e1c25c7f7e8b86020612d33,VOCABULARY-INFORMED VISUAL FEATURE AUGMEN-,"Under review as a conference paper at ICLR 2018 VOCABULARY-INFORMED VISUAL FEATURE AUGMEN- TATION FOR ONE-SHOT LEARNING" @@ -14903,11 +12781,6 @@ Northwestern Polytechnical University 2Johns Hopkins University 3Beihang Univers b63041d05b78a66724fbcb2803508999bf885d6b,Deep Sets,"Deep Sets Manzil Zaheer 1 2 Satwik Kottur 2 Siamak Ravanbhakhsh 2 Barnabas Poczos 2 Ruslan Ssalakhutdinov 2 Alexander Smola 1 2" -b658fefafe36edf7c62fbc9eb728ef971f478e27,Learning a low-rank shared dictionary for object classification,"ACCEPTED TO IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2016 -LEARNING A LOW-RANK SHARED DICTIONARY -FOR OBJECT CLASSIFICATION -Tiep H. Vu, Vishal Monga -Pennsylvania State University, University Park, PA" b6f682648418422e992e3ef78a6965773550d36b,"CBMM Memo No . 061 February 8 , 2017 Full interpretation of minimal images","February 8, 2017" b62628ac06bbac998a3ab825324a41a11bc3a988,Xm2vtsdb: the Extended M2vts Database,"SecondInternationalConferenceonAudioandVideo-basedBiometricPersonAuthentication(AVBPA' ),WashingtonD.C, XMVTSDB:TheExtendedMVTSDatabase @@ -14958,10 +12831,6 @@ S´ergio Montazzolli Silva[0000−0003−2444−3175] and Cl´audio Rosito Jung[0000−0002−4711−5783] Institute of Informatics - Federal University of Rio Grande do Sul Porto Alegre, Brazil" -2e1ff08fb5790e3b5ba7864408628467795a9df4,Human Pose Estimation with Fields of Parts,"Human Pose Estimation -with Fields of Parts -Martin Kiefel and Peter Vincent Gehler -Max Planck Institute for Intelligent Systems, T¨ubingen Germany" 2e56209ed179be641e6df5efd11be8b3d54a62e9,Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition Systems Using Visible-Light Camera Sensors,"Article Combining Deep and Handcrafted Image Features for Presentation Attack Detection in Face Recognition @@ -15061,26 +12930,6 @@ The starting point of our dataset is a real surveillance setup, composed by 8 different surveillance cameras, monitoring a section of the ampus of the University of Modena and Reggio" -2eb37a3f362cffdcf5882a94a20a1212dfed25d9,Local Feature Based Face Recognition,"Local Feature Based Face Recognition -Sanjay A. Pardeshi and Sanjay N. Talbar -R.I.T., Rajaramnagar and S.G.G.S. COE &T, Nanded -India -. Introduction -A reliable automatic face recognition (AFR) system is a need of time because in today's -networked world, maintaining the security of private information or physical property is -ecoming increasingly important and difficult as well. Most of the time criminals have been -taking the advantage of fundamental flaws in the conventional access control systems i.e. -the systems operating on credit card, ATM etc. do not grant access by ""who we are"", but by -""what we have”. The biometric based access control systems have a potential to overcome -most of the deficiencies of conventional access control systems and has been gaining the -importance in recent years. These systems can be designed with biometric traits such as -fingerprint, face, iris, signature, hand geometry etc. But comparison of different biometric -traits shows that face is very attractive biometric because of its non-intrusiveness and social -cceptability. It provides automated methods of verifying or recognizing the identity of a -living person based on its facial characteristics. -In last decade, major advances occurred in face recognition, with many systems capable of -chieving recognition rates greater than 90%. However real-world scenarios remain a -hallenge, because face acquisition process can undergo to a wide range of variations. Hence" 2ed9a69ee6509c0b3fe5a51d1116dccc877653ba,Reconstruction and Analysis of Shapes from 3D Scans,"Reconstruction and Analysis of Shapes from 3D Scans" 2e1add06cc82d139348056fe43282f1ca1832e5b,Local 3 D Shape Analysis for Facial Expression Recognition,"Local 3D Shape Analysis for Facial Expression @@ -15178,21 +13027,6 @@ Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu NVIDIA {pauliusm, alben, dagarcia, bginsburg, mhouston, okuchaiev, gavenkatesh," -2e956e178fd50ab140f30f9255a83d853c8be210,Robust Facial Expression Recognition via Compressive Sensing,"Sensors 2012, 12, 3747-3761; doi:10.3390/s120303747 -OPEN ACCESS -sensors -ISSN 1424-8220 -www.mdpi.com/journal/sensors -Article -Robust Facial Expression Recognition via Compressive Sensing -Shiqing Zhang 1, Xiaoming Zhao 2,* and Bicheng Lei 1 -School of Physics and Electronic Engineering, Taizhou University, Taizhou 318000, China; -E-Mails: (S.Z.); (B.L.) -Department of Computer Science, Taizhou University, Taizhou 318000, China -* Author to whom correspondence should be addressed; E-Mail: -Tel./Fax: +86-576-8513-7178. -Received: 28 December 2011; in revised form: 19 February 2012 / Accepted: 16 March 2012 / -Published: 21 March 2012" 2e55fd3f5138e55250aed84a7dc17adfc34970d3,The implications of social neuroscience for social disability.,"J Autism Dev Disord (2012) 42:1256–1262 DOI 10.1007/s10803-012-1514-z O R I G I N A L P A P E R @@ -15268,10 +13102,6 @@ E‐mail:" ENSEMBLE FOR ATTRIBUTE PERSONALIZATION Shrenik Lad1, Bernardino Romera Paredes2, Julien Valentin2, Philip Torr2, Devi Parikh1 . Virginia Tech 2. University of Oxford" -2e585adbe1f434396ca6a669dd91914d4d4bf42a,Early Prediction for Physical Human Robot Collaboration in the Operating Room,"TO APPEAR IN AUTONOMOUS ROBOTS, SPECIAL ISSUE IN LEARNING FOR HUMAN-ROBOT COLLABORATION -Early Prediction for Physical Human Robot -Collaboration in the Operating Room -Tian Zhou, Student Member, IEEE, and Juan Wachs, Member, IEEE" 2efc4eee3953f6b52e23989bbcc2598a91e18ba0,External Cameras and a Mobile Robot for Enhanced Multi-person Tracking,"RFAntennas2D SICKLaserFirewire Cameraon PTU LaptopCamera 1Flea RGB Camera 2Flea RGBHubFirewireFigure1:Perceptualplatform;staticcameras(withroughpositionsandfieldsofview)andthemobilerobotRackham.Thispaperisstructuredasfollows:architectureofthecooperativesystemispresentedinsection2.Sec-tion3describesthedifferentdetectionmodalitiesthatdrivethemulti-persontracker(presentedinsection4).Evaluationsandresultsarepresentedinsection5fol-lowedbyconcludingremarksinsection6.2ARCHITECTUREOurcooperativeframeworkismadeupofamobilerobotandtwofixedviewwall-mountedRGBflea2cameras(figure1).Thecamerashaveamaximumres-olutionof640x480pixelsandareconnectedtoadual-coreIntelCentrinoLaptopviaafire-wirecable.Therobot,calledRackham,isaniRobotB21rmobileplat-form.Ithasvarioussensors,ofwhichitsSICKLaserRangeFinder(LRF)isutilizedinthiswork.Commu-nicationbetweenthemobilerobotandthecomputer" 2e64682caf77309db573ee439d988233f71e88ad,Establishing Good Benchmarks and Baselines for Face Recognition,"Author manuscript, published in ""Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille : France (2008)""" @@ -15306,18 +13136,6 @@ WP BRP 60/PSY/2016 This Working Paper is an output of a research project implemented at the National Research University Higher School of Economics (HSE). Any opinions or claims contained in this Working Paper do not necessarily reflect the views of HSE" -e2a9b3e9001d57483acbb63dc2cfb91a90d3c12d,"Image worth Evaluation for False Biometric Detection : Submission to Iris , Fingerprint and Face Recognition","Volume 5, Issue 2, February 2015 ISSN: 2277 128X -International Journal of Advanced Research in -Computer Science and Software Engineering -Research Paper -Available online at: www.ijarcsse.com -Image worth Evaluation for False Biometric Detection: Submission to -Iris, Fingerprint and Face Recognition -Boggarapu Srinivasulu, 2 Dr. M. Ekambaram Naidu, 3Dr. E. Sreenivasa Reddy -Assistant Professor, Dept of CSE, Mother Theresa Institute of Engineering & Technology -Palamaner, Chittoor Dist, AP, India -Principal & Professor (CSE), TRR Engineering College, Hyderabad, India -Dean& Professor (CSE), Acharya Nagarjuna University, Nagarjunanagar, Guntur, India" e27301701e4d2d7da4171e6c560c4fb3f974bf2d,Comparative Evaluations of Selected Tracking-by-Detection Approaches,"Comparative Evaluations of Selected Tracking-by-Detection Approaches Alhayat Ali Mekonnen, Frédéric Lerasle @@ -15358,16 +13176,6 @@ L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de" -e267c813d8804019fbd8e018171dd05255b10fee,PERFORMANCE ANALYSIS OF PCA BASED TECHNIQUES FOR FACE AUTHENTICATION,"Canadian Journal of Pure and Applied Sciences -Vol. 9, No. 1, pp. 3299-3306, February 2015 -Online ISSN: 1920-3853; Print ISSN: 1715-9997 -Available online at www.cjpas.net -PERFORMANCE ANALYSIS OF PCA BASED TECHNIQUES -FOR FACE AUTHENTICATION -*Krishna Dharavath, Fazal Ahmed Talukdar, Rabul Hussain Laskar -Speech and Image Processing Research Lab., -Department of Electronics and Communication Engineering -National Institute of Technology Silchar, India" e27ef52c641c2b5100a1b34fd0b819e84a31b4df,SARC3D: A New 3D Body Model for People Tracking and Re-identification,"SARC3D: a new 3D body model for People Tracking and Re-identification Davide Baltieri, Roberto Vezzani, and Rita Cucchiara @@ -15556,10 +13364,6 @@ referred to as “mind-reading” (Siegal and Varley 2002; Stone et al 998). In particular, individuals with autism have distinct diffi-" e25e07cfd0818a499033caf9d7aa8ef4feec981b,Semantic Segmentation for Real-World Data by Jointly Exploiting Supervised and Transferrable Knowledge,"Pages 84.1-84.12 DOI: https://dx.doi.org/10.5244/C.30.84" -e23a75430f777e982b0715b6f8a048d4bbfea438,Maximum Margin Metric Learning over Discriminative Nullspace for Person Re-identification,"Maximum Margin Metric Learning Over Discriminative -Nullspace for Person Re-identification -T M Feroz Ali1 and Subhasis Chaudhuri1 -Indian Institute of Technology Bombay, Mumbai, India" e2b8ba13586bb9a96e4813472d1f763d37ead47d,Media Content Access : Image-Based Filtering,"(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 9, No. 3, 2018 Media Content Access: Image-Based Filtering @@ -15670,14 +13474,6 @@ P.G. Student 2Assistant Professor ,2DR C V Raman Institute of Science and Technology Kota, bilaspur systems, surveillance" -7ed5dca8725d59714d61ef8e1a14cc4b71c56d3f,Face Sketch to Photo Matching Using LFDA and Pre-Processing,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Impact Factor (2012): 3.358 -Face Sketch to Photo Matching Using LFDA and -Pre-Processing -Pushpa Gopal Ambhore1, Lokesh Bijole2 -Research Scholar, 2Assistant professor, Computer Engineering Department, -Padm. Dr. V. B. Kolte College of Engineering, Malkapur, Maharashtra, India" 7e7430b5b6ffc470284b8fa94840797610d450ad,Free-space detection using online disparity-supervised color modeling,"Free-space detection using online disparity-supervised olor modeling Sanberg, W.P.; Dubbelman, G.; de With, P.H.N. @@ -15718,12 +13514,6 @@ CLASSIFICATION Habib Ullah Advisor: Nicola Conci, PhD February 2015" -7e2ff809f2f38eaf070fe36ad054e61c31b6b9e8,"Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks","Learning Sparse High Dimensional Filters: -Image Filtering, Dense CRFs and Bilateral Neural Networks -Varun Jampani1, Martin Kiefel1,2 and Peter V. Gehler1,2 -Max Planck Institute for Intelligent Systems, T¨ubingen, 72076, Germany -Bernstein Center for Computational Neuroscience, T¨ubingen, 72076, Germany -{varun.jampani, martin.kiefel," 7e5414277148c8fdf9903068b001887225b69868,Perceptive Parallel Processes Coordinating Geometry and Texture,"Perceptive Parallel Processes Coordinating Geometry and Texture Marco A. Gutierrez1, Rafael E. Banchs2 and Luis F. D'Haro2" 7e3693fffef8d83ac109309a77f2545d32c10fc3,The effect of Ramadan fasting on spatial attention through emotional stimuli,"Psychology Research and Behavior Management @@ -15746,14 +13536,6 @@ Department of clinical sciences, Faculty of Biosciences and Medical engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia" -7e79c3a92f60c55a6970f89acfa152bcf74823e0,Face Recognition using FSS-DSOP for Small Sample Size Problem with Illumination Variations,"Int. J. Advance. Soft Comput. Appl., Vol. 1, No. 2, November 2009 -ISSN 2074-8523; Copyright © ICSRS Publication, 2009 -www.i-csrs.org -Face Recognition using FSS-DSOP for Small -Sample Size Problem with Illumination -Variations -Ganesh Bhat, K.K. Achary -Canara Engineering College,Department of Electronics, India" 7e53ab07d0ce28484830329036a1fc018b9644dd,Online multiple people tracking-by-detection in crowded scenes,"Journal of Advances in Computer Engineering and Technology, 1(2) 2015 Online multiple people tracking-by-detection in rowded scenes @@ -15777,26 +13559,6 @@ Institute of Cartography and Geoinformatics, Ruprecht-Karls Universit¨at Heidelberg, Germany Heidelberg, Germany Leibniz Universit¨at Hannover, Germany" -7ed1b3a0c270c6cac133e91858e3848d843e1ec2,Principal Component Analysis With Complex Kernels,"IEEE TRANSACTIONS ON NEURAL NETWORKS & LEARNING SYSTEMS- SPECIAL ISSUE ON COMPLEX- AND HYPERCOMPLEX-VALUED NEURAL NETWORKS 1 -Principal Component Analysis With Complex Kernels -Athanasios Papaioannou, Student Member, IEEE, Stefanos Zafeiriou, Member, IEEE, -Non-linear complex representations, via the use of complex kernels, -an be applied to model and capture the nonlinearities of complex -data. Even though, the theoretical tools of Complex Reproducing Kernel -Hilbert Spaces (CRKHS) have been recently successfully applied to the -design of digital filters and regression and classification frameworks -there is limited research on component analysis and dimensionality -reduction in CRKHS. The aim of this paper is to properly formulate the -most popular component analysis methodology, i.e. Principal Component -Analysis (PCA), in CRKHS. In particular, we define a general Widely -Linear Kernel Complex PCA (WLCKPCA) framework. Furthermore, we -show how to efficiently perform Widely Linear PCA (WLPCA) in small -sample sized problems. Finally, we show the usefulness of the proposed -framework in robust reconstruction using Euler data representation. -Index Terms—Principal Component Analysis, Complex Kernels, Pat- -tern Recognition, Machine vision -I. INTRODUCTION -P RINCIPAL component analysis (PCA), which appeared first" 7ea07b7b27d59300840df17e5881dbe3a4769872,Detection driven adaptive multi-cue integration for multiple human tracking,"Detection Driven Adaptive Multi-cue Integration for Multiple Human Tracking Ming Yang, Fengjun Lv, Wei Xu, Yihong Gong NEC Laboratories America, Inc. @@ -15887,11 +13649,6 @@ Copyright 2007 Eyad Haj Said" fdf533eeb1306ba418b09210387833bdf27bb756,Exploiting Unrelated Tasks in Multi-Task Learning, fdf31db5aa8cf8a7f9ac84fcc7b0949e8e000a41,MODELING FASHION Anonymous ICME submission,"MODELING FASHION Anonymous ICME submission" -fd8bb112b197e23183feeb6d1f4506d180caa4fc,Fashion Clothes Matching Scheme Learned from Fashionista ’ S Suggestions in Microblog,"FASHION CLOTHES MATCHING SCHEME LEARNED FROM FASHIONISTA’S -SUGGESTIONS IN MICROBLOG -Guangyu Gao1, Yihang Zhang1, Songyang Du2 -School of Software, Beijing Institute of Technology. Beijing 100081, China -Beijing Special Vehicle Research Institute. Beijing 100072, China" fd8b1715ad34858bf8650ac549c4249d86edbb7c,A survey of techniques for human segmentation from static images,"International Association of Scientific Innovation and Research (IASIR) (An Association Unifying the Sciences, Engineering, and Applied Research) ISSN (Print): 2279-0063 @@ -16004,9 +13761,6 @@ Sage Publications, Inc., Association for Psychological Science are collaborating digitize, preserve and extend access to Psychological Science in the Public Interest This content downloaded from 129.133.179.122 on Tue, 07 Feb 2017 15:41:42 UTC All use subject to http://about.jstor.org/terms" -fd67b9812fa4aef6c5dfb633df4406105cdb4e8f,Zero-Shot Learning with Generative Latent Prototype Model,"Zero-Shot Learning with Generative Latent -Prototype Model -Yanan Li, Student Member, IEEE, Donghui Wang, Member, IEEE" fdca08416bdadda91ae977db7d503e8610dd744f,The Ksera Project (http://www.ksera under the 7th Framework Programme (fp7) for Research and Technological Development under Grant Human Robot Interaction Ksera Project (http://www.ksera-project.eu) Has Received Funding from the European Commission under the 7th Framework Programme (fp7) for Researc,"ICT-2009.7.1 KSERA Project 010-248085 @@ -16024,11 +13778,6 @@ under the 7th Framework Programme (FP7) for Research and Technological Developme under the 7th Framework Programme (FP7) for Research and Technological Development under grant greement n°2010-248085." fd4537b92ab9fa7c653e9e5b9c4f815914a498c0,One-Sided Unsupervised Domain Mapping, -fd6d2e4f939b8d804a6b5908bded8f1ad2563e38,Stabilizing GAN Training with Multiple Random Projections,"Stabilizing GAN Training with -Multiple Random Projections -Behnam Neyshabur Srinadh Bhojanapalli Ayan Chakrabarti -Toyota Technological Institute at Chicago -6045 S. Kenwood Ave., Chicago, IL 60637" fde3f34a1accadb73269e4beef487611f682b781,"Before A Computer Can Draw, It Must First Learn To See","Before A Computer Can Draw, It Must First Learn To See Derrall Heath and Dan Ventura Computer Science Department @@ -16212,14 +13961,6 @@ Research Center and Laboratoire d’Informatique de Grenoble (LIG) 655 avenue de l’Europe 8 334 Saint Ismier Cedex, France" -5cbed05521a44b568c77879fb0b84e1fa27d12e0,Gait-Based Recognition of Humans Using Continuous HMMs,"Gait-based Recognition of Humans Using Continuous HMMs(cid:3) -A. Kale, A.N. Rajagopalan, N. Cuntoor and V. Kr¨uger - Center for Automation Research -University of Maryland at College Park -College Park, MD 20742 - Department of Electrical Engineering -Indian Institute of Technology Madras -Chennai-600 036, India" 5cebc83001ea0737cc46360850fd294327c82013,MEMORY-BASED GAIT RECOGNITION 1 Memory-based Gait Recognition,"DANLIUet al.:MEMORY-BASEDGAITRECOGNITION Memory-based Gait Recognition Dan Liu @@ -16255,15 +13996,6 @@ ompensating the egomotion of the camera. To obtain the optical flow, two consecu pixels; then each cell is tracked in the current frame to find corresponding cell in the next frame. Using at least three corresponding ells, affine transformation is performed according to each corresponding cell in the consecutive images, so that conformed optical flows are extracted. The regions of moving object are detected as transformed objects, which are different from the previously" -5c5e1f367e8768a9fb0f1b2f9dbfa060a22e75c0,Reference Face Graph for Face Recognition,"Reference Face Graph for Face Recognition -Mehran Kafai, Member, IEEE, Le An, Student Member, IEEE, and Bir Bhanu, Fellow, IEEE" -5c5304b79ebc2afd28ade6bb88daa80144ae3587,Review of Human-Robot Interactive Modelling and Application for Elders,"COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 408-413 -Han Jing, Xie, Lun Xu Shangmou, Wang Zhiliang -Review of Human-Robot Interactive Modelling and -Application for Elders -Jing Han, Lun Xie*, Shangmou Xu, Zhiliang Wang -School of Computer and Communication Engineering, University of Science and Technology Beijing, No.30 Xueyuan road, Beijing, China -Received 23 November 2014, www.cmnt.lv" 5c1e0e94d6cb74448c7b3c1e0db42121be4e9bd6,Saliency Detection using regression trees on hierarchical image segments,"SALIENCY DETECTION USING REGRESSION TREES ON HIERARCHICAL IMAGE SEGMENTS G¨okhan Yildirim, Appu Shaji, Sabine S¨usstrunk @@ -16371,30 +14103,6 @@ Rahul Tewari Paulo R. S. Mendonc¸a Amazon Web Services" 5c3fd194ba96c5eea41c0772ad0b2292dedcd197,Understanding the Energy Saving Potential of Smart Scale Selection in the Viola and Jones Facial Detection Algorithm, -5cb1277bc7257e7b4cfc1699199c6d8e13ff0b1a,Refining Synthetic Images with Semantic Layouts by Adversarial Training,"Proceedings of Machine Learning Research 95:863-878, 2018 -ACML 2018 -Refining Synthetic Images with Semantic Layouts by -Adversarial Training -Tongtong Zhao -Dalian Maritime University -Dalian 116026, China -Yuxiao Yan -Dalian Maritime University -Dalian 116026, China -JinJia Peng -Dalian Maritime University -Dalian 116026, China -HaoHui Wei -Dalian Maritime University -Dalian 116026, China -Xianping Fu -Dalian Maritime University -Dalian 116026, China -Editors: Jun Zhu and Ichiro Takeuchi" -5cfa8d0384bcdf5dfd7501561c748e69f3a2a747,Lip AUs Detection by Boost-SVM and Gabor,"Lip AUs Detection by Boost-SVM and Gabor -Xianmei Wang, Yuyu Liang, Xiujie Zhao and Zhiliang Wang -School of Computer and Communication Engineering, University of Science and Technology, Beijing, China -Email:" 5cdc02ed9f456219369fe3115321564c9955b9ae,Real-time Analysis and Visualization of the YFCC 100 m Dataset,"Real-time Analysis and Visualization of the YFCC100m Dataset Firstname Lastname @@ -16405,8 +14113,6 @@ Chengchao Qu1,2 Christian Herrmann1,2 Eduardo Monari2 Tobias Schuchert2 J¨urgen Beyerer2,1 Vision and Fusion Laboratory (IES), Karlsruhe Institute of Technology (KIT) Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (Fraunhofer IOSB)" -5c77901df1e0f52a9774b39e730c31afbc1214a7,Learning Social Tag Relevance by Neighbor Voting,"Learning Social Tag Relevance by Neighbor Voting -Xirong Li, Cees G. M. Snoek, Member, IEEE, Marcel Worring, Member, IEEE" 5cff58d081a4732b11e6da498196ed6fbb54d15b,Adversarial Examples for Semantic Segmentation and Object Detection,"Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie1*, Jianyu Wang2*, Zhishuai Zhang1∗, Yuyin Zhou1, Lingxi Xie1, Alan Yuille1 Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218 USA @@ -16519,46 +14225,12 @@ Yecheng Lyu and Xinming Huang Department of Electrical and Computer Engineering Worcester Polytechnic Institute Worcester, MA 01609, USA" -7ff1c4e0ad0dae92d4f25b93783fadde8f07276d,An efficient example-based approach for image super-resolution,"IEEE Int. Conference Neural Networks & Signal Processing -Zhenjiang, China, June 8~10, 2008 -AN EFFICIENT EXAMPLE-BASED APPROACH FOR IMAGE -SUPER-RESOLUTION -Xiaoguang Li1,2, Kin Man Lam2, Guoping Qiu3, Lansun Shen1 and Suyu Wang1 -. Signal & Information Processing Lab. Beijing University of Technology, Beijing, China, 100124 -. Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong -Polytechnic University, Hong Kong -. Department of Computer Science, Nottingham University, UK" -7ffa7a36e5414a0f2b16b1d8f93442ab15e2235d,"The CMU Pose, Illumination, and Expression Database","IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 12, DECEMBER 2003 -REFERENCES -[1] M. Carcassoni and E.R. Hancock, “Spectral Correspondence for Point -Pattern Matching,” Pattern Recognition, vol. 36, no. 1, pp. 193-204, 2003. -[2] H. Chui and A. Rangarajan, “Non-Rigid Point Matching Using Mixture -Models,” Proc. Workshop Math. Methods in Biomedical Image Analysis, pp. 190- -97, 2000. -F.R.K. Chung, Spectral Graph Theory, CBMS series, AMS ed. vol. 92, 1997. -T.F. Cootes, C.J. Taylor, D.H. Cooper, and J. Graham, “Active Shape -Models: Their Training and Application,” Computer Vision and Image -Understanding, vol. 61, no. 1, pp. 38-59, 1995. -[5] A.D.J. Cross and E.R. Hancock, “Graph Matching with Dual Step Em -Algorithm,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, -pp. 1236-1253, 1998. -S. Gold and A. Rangarajan, “A Graduated Assignment Algorithm for -Graph Matching,” IEEE Trans. Pattern Analysis and Machine Intelligence, -vol. 18, no. 4, pp. 377-388, Apr. 1996. -P.J. Green, “Bayesian Reconstruction from Emission Tomography Data -Using a Modified Em Algorithm,” IEEE Trans. Medical Imaging, vol. 9, -pp. 84-93, 1990." 7f44f8a5fd48b2d70cc2f344b4d1e7095f4f1fe5,Sparse Output Coding for Scalable Visual Recognition,"Int J Comput Vis (2016) 119:60–75 DOI 10.1007/s11263-015-0839-4 Sparse Output Coding for Scalable Visual Recognition Bin Zhao1 · Eric P. Xing1 Received: 15 May 2013 / Accepted: 16 June 2015 / Published online: 26 June 2015 © Springer Science+Business Media New York 2015" -7f511a6a2b38a26f077a5aec4baf5dffc981d881,Low-Latency Human Action Recognition with Weighted Multi-Region Convolutional Neural Network,"LOW-LATENCY HUMAN ACTION RECOGNITION WITH WEIGHTED MULTI-REGION -CONVOLUTIONAL NEURAL NETWORK -Yunfeng Wang(cid:63), Wengang Zhou(cid:63), Qilin Zhang†, Xiaotian Zhu(cid:63), Houqiang Li(cid:63) -(cid:63)University of Science and Technology of China, Hefei, Anhui, China -HERE Technologies, Chicago, Illinois, USA" 7ff83f10e49e81ce6f66270e8f3f42dd2c6eb3ed,PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report,"PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X Pham, Cao Van Nguyen, @@ -16579,19 +14251,11 @@ Paul Natsev Balakrishnan Varadarajan Sudheendra Vijayanarasimhan Google Research" -7ff0ad5c34f02b9c394ed0d8a3db9c270dc70e44,Learning a temporally invariant representation for visual tracking,"LEARNING A TEMPORALLY INVARIANT REPRESENTATION FOR VISUAL TRACKING -Chao Ma(cid:63)†, Xiaokang Yang(cid:63), Chongyang Zhang(cid:63), and Ming-Hsuan Yang† -(cid:63)Shanghai Jiao Tong University, China -University of California at Merced, USA" 7fdcb6638a9e01986cd8fb4133b4448700087faf,Expression-Invariant Multispectral Face Recognition : You Can Smile Now !,"Expression-Invariant Multispectral Face Recognition: You Can Smile Now! Ioannis A. Kakadiarisa, George Passalisa, George Todericia, Yunliang Lua, Nikos Karampatziakisa, Najam Murtuzaa, Theoharis Theoharisa Computational Biomedicine Lab, Dept. of Computer Science, Univ. of Houston, TX, USA" -7f65bbc93cf414d4889773b697b1833e85f0a15f,Neural Perspective to Jigsaw Puzzle Solving,"Neural Perspective to Jigsaw Puzzle Solving -Viveka Kulharia⇤, Arnab Ghosh⇤, Nikhil Patil?, Piyush Rai -Department of Computer Science, IIT Kanpur -Kanpur, India" 7fa41631cdef8f7fba7e1289dd4c5f3723b172ab,A robust and isotropic curved surface representation for 3D faces description,"A robust and isotropic curved surface representation for 3D faces description Majdi Jribi and Faouzi Ghorbel" @@ -16601,16 +14265,6 @@ www.iosrjournals.org Improved Face Recognition Rate Using HOG Features and SVM Classifier Harihara Santosh Dadi, Gopala Krishna Mohan Pillutla" -7fa4e972da46735971aad52413d17c4014c49e6e,How to Train Triplet Networks with 100K Identities?,"How to Train Triplet Networks with 100K Identities? -Chong Wang -Orion Star -Beijing, China -Xue Zhang -Orion Star -Beijing, China -Xipeng Lan -Orion Star -Beijing, China" 7f3da52c13c70fd5b93c2ccebdd4a4527fa597fa,Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,"Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States Hu, G., Liu, L., Yuan, Y., Yu, Z., Hua, Y., Zhang, Z., ... Yang, Y. (2018). Deep Multi-Task Learning to Recognise @@ -16737,30 +14391,6 @@ Karen L. Schmidt, Zara Ambadar, Jeffrey F. Cohn, and L. Ian Reed" 7fc70f6dbbbc9221552c8547cd10ffc13d11b276,Respectful cameras: detecting visual markers in real-time to address privacy concerns,"Respectful Cameras: Detecting Visual Markers in Real-Time to Address Privacy Concerns Jeremy Schiff, Marci Meingast, Deirdre K. Mulligan, Shankar Sastry, Ken Goldberg" -7f0fadae16cc74b6176ba940aa2f8b5a0a67e09e,An Expert Local Mesh Correlation Histograms for Biomedical Image Indexing and Retrieval,"CHAPTER 1 -An Expert Local Mesh Correlation Histograms for -Biomedical Image Indexing and Retrieval -Santosh Kumar Vipparthi, Subrahmanyam Murala, S.K. Nagar and Anil -Balaji Gonde -Santosh Kumar Vipparthi -Department of Computer Science and Engineering -Malaviya National Institute of Technology -Jaipur, India -e-mail: -Subrahmanyam Murala -Department of Electrical Engineering -Indian Institute of Technology Ropar -India -e-mail: -S.K. Nagar -Department of Electrical Engineering -Indian Institute of Technology Banaras Hindu University -India -e-mail:" -7f268f29d2c8f58cea4946536f5e2325777fa8fa,Facial Emotion Recognition in Curvelet Domain,"Facial Emotion Recognition in Curvelet Domain -Gyanendra K Verma and Bhupesh Kumar Singh -Indian Institute of Informaiton Technology, Allahabad, India -Allahabad, India - 211012" 3347d3e9f8a2da66e1c00f6a1e56bb37d27145ae,devant le jury composé de:,"Spécialité: Informatique et Télécommunications Ecole doctorale: Informatique, Télécommunications et Electronique de Paris Présentée par Raluca-Diana ŞAMBRA-PETRE Pour obtenir le grade de DOCTEUR DE TELECOM SUDPARIS MODELISATION ET INFERENCE 2D/3D DE CONNAISSANCES POUR L'ACCES INTELLIGENT AUX CONTENUS VISUELS ENRICHIS Soutenue le 18 Juin 2013 à Paris devant le jury composé de : Président de jury: Madame le Maître de Conférences, HDR Catherine ACHARD Rapporteur: Monsieur le Professeur Marc ANTONINI Rapporteur: Monsieur le Professeur Constantin VERTAN Examinateur: Monsieur le Professeur Miroslaw BOBER Examinateur: Monsieur le Docteur Olivier MARTINOT Directeur de thèse: Monsieur le Professeur Titus ZAHARIA Thèse n°: 2013TELE0012 THESE DE DOCTORAT CONJOINT TELECOM SUDPARIS et L'UNIVERSITE PIERRE ET MARIE CURIE" 33919313bb3cf09b00f9fa2253b30af33a52bc51,Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs,"Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs Anton Osokin∗,1 Jean-Baptiste Alayrac∗,1 @@ -16834,13 +14464,6 @@ vertising or promotional purposes or for creating new collec- tive works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." -3316521a5527c7700af8ae6aef32a79a8b83672c,People-tracking-by-detection and people-detection-by-tracking,"People-Tracking-by-Detection and People-Detection-by-Tracking -Mykhaylo Andriluka -Stefan Roth -Bernt Schiele -Computer Science Department -TU Darmstadt, Germany -{andriluka, sroth," 33ef644ef5085237b4f529251d6c895d32d6052f,TasselNet: counting maize tassels in the wild via local counts regression network,"Lu et al. RESEARCH ARTICLES TasselNet: Counting maize tassels in the wild via @@ -16883,12 +14506,6 @@ Cross Modal Matching Alexis Mignon and Fr´ed´eric Jurie GREYC, CNRS UMR 6072, Universit´e de Caen Basse-Normandie, France first name.last" -333e7ad7f915d8ee3bb43a93ea167d6026aa3c22,3D Assisted Face Recognition: Dealing With Expression Variations,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication. -The final version of record is available at http://dx.doi.org/10.1109/TIFS.2014.2309851 -DRAFT -D Assisted Face Recognition: Dealing With -Expression Variations -Nesli Erdogmus, Member, IEEE, Jean-Luc Dugelay, Fellow Member, IEEE" 33ea400ca2105b9a3cd0e3c7c147e06c2d3c6d79,Vision based Decision-Support and Safety Systems for Robotic Surgery,"Vision based Decision-Support and Safety Systems for Robotic Surgery Suren Kumar @@ -16904,12 +14521,6 @@ Pankaj Singhal Director of Robotic Surgery Jason J. Corso Assistant Professor" -33e4844a95bc2df4619e6d43bd009b24a20fb79a,Automatic Face Detection Using Color Based Segmentation and Computing Eigen face,"International Journal of Enhanced Research in Science Technology & Engineering, ISSN: 2319-7463 -Vol. 2 Issue 10, October-2013, pp: (97-105), Available online at: www.erpublications.com -Automatic Face Detection Using Color Based -Segmentation and Computing Eigen face -Surya Prakash Ahirwar1, Dr. Shailja Shukla2 -Department of Electrical Engineering, Jabalpur Engineering College, India" 33c485b59249af2d763d6951cd11e4080f3bbb3d,Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation,"Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation Bugra Tekin Pablo M´arquez-Neila @@ -16919,21 +14530,12 @@ EPFL, Switzerland" 336fe31c25c9128f43f2dfe454041e7c608557d1,H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis.,"H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis Tianjia Shao, Yin Yang, Yanlin Weng, Qiming Hou, Kun Zhou" -3326838b53788bdb79d3b37b3ddad6a619ce53b1,Recent Advances in the Automatic Recognition of Audio-Visual Speech,"Article appears in: Proceedings of the IEEE, vol. 91, no. 9, September 2003 -Recent Advances in the Automatic Recognition of -Audio-Visual Speech -Gerasimos Potamianos, Member, IEEE, Chalapathy Neti, Member, IEEE, Guillaume Gravier, -Ashutosh Garg, Student Member, IEEE, and Andrew W. Senior, Senior Member, IEEE -(Invited Paper)" 3333b35ddb698be76dd27bffad131c1daa694bf2,Comparing Robustness of Two-Dimensional PCA and Eigenfaces for Face Recognition,"Comparing Robustness of Two-Dimensional PCA and Eigenfaces for Face Recognition Muriel Visani, Christophe Garcia, and Christophe Laurent France Telecom R&D - DIH/HDM , rue du Clos Courtel 5512 Cesson-S´evign´e Cedex - France" -3352426a67eabe3516812cb66a77aeb8b4df4d1b,Joint Multi-view Face Alignment in the Wild,"JOURNAL OF LATEX CLASS FILES, VOL. 4, NO. 5, APRIL 2015 -Joint Multi-view Face Alignment in the Wild -Jiankang Deng, Student Member, IEEE, George Trigeorgis, Yuxiang Zhou, and Stefanos Zafeiriou, Member, IEEE" 33695e0779e67c7722449e9a3e2e55fde64cfd99,Riemannian coding and dictionary learning: Kernels to the rescue,"Riemannian Coding and Dictionary Learning: Kernels to the Rescue Mehrtash Harandi, Mathieu Salzmann Australian National University & NICTA @@ -16971,13 +14573,6 @@ Laurence Conty nd High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos CentraleSup´elec - INRIA" -33a4744818b2847d7d3650bd547932cdcddc2f04,Sparse Polynomial Mapping for Manifold Learning,"International Journal of Signal Processing, Image Processing and Pattern Recognition -Vol. 7, No. 6 (2014), pp. 335-344 -http://dx.doi.org/10.14257/ijsip.2014.7.6.29 -Sparse Polynomial Mapping for Manifold Learning -Ying Xia*, Qiang Lu and Hae-Young Bae -Research Center of Spatial Information System, Chongqing University of Posts and -Telecommunications, Chongqing 400065, China" 330a34b8dfb3f6adaf6401c3ececf9f4127505a0,Feature selection for pose invariant lip biometrics,"INTERSPEECH 2010 Feature Selection for Pose Invariant Lip Biometrics Adrian Pass, Jianguo Zhang, Darryl Stewart @@ -16988,13 +14583,6 @@ Belfast BT7 1NN, UK 330dda431e0343a96f9d630a0b4ee526bd93ad11,Domain Adaptation for Visual Applications: A Comprehensive Survey,"Domain Adaptation for Visual Applications: A Comprehensive Survey Gabriela Csurka" -334166a942acb15ccc4517cefde751a381512605,Facial Expression Analysis using Deep Learning,"International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 -Volume: 04 Issue: 10 | Oct -2017 www.irjet.net p-ISSN: 2395-0072 -Facial Expression Analysis using Deep Learning -Hemanth Singh1, Raman Patel2 -,2 M.Tech Student, SSG Engineering College, Odisha, India ----------------------------------------------------------------------***--------------------------------------------------------------------- -examination structures need to analyse the facial exercises" 3369692338841f14ce032fc5d0b5b4fe7cc79f1a,Visualising mental representations : A primer on noise-based reverse correlation in social psychology,"European Review of Social Psychology ISSN: 1046-3283 (Print) 1479-277X (Online) Journal homepage: http://www.tandfonline.com/loi/pers20 Visualising mental representations: A primer @@ -17020,13 +14608,6 @@ Illumination for Human Computer Interaction Aplications S L Happy, Anirban Dasgupta, Anjith George, and Aurobinda Routray Department of Electrical Engineering Indian Institute of Technology Kharagpur" -33a1a049d15e22befc7ddefdd3ae719ced8394bf,An Efficient Approach to Facial Feature Detection for Expression Recognition,"FULL PAPER -International Journal of Recent Trends in Engineering, Vol 2, No. 1, November 2009 -An Efficient Approach to Facial Feature Detection -for Expression Recognition -S.P. Khandait1, P.D. Khandait2 and Dr.R.C.Thool2 -Deptt. of Info.Tech., K.D.K.C.E., Nagpur, India -2Deptt.of Electronics Engg., K.D.K.C.E., Nagpur, India, 2Deptt. of Info.Tech., SGGSIET, Nanded" 33e7bc26047de3c1b607f04a644c2c03920201fd,Learning to Navigate Autonomously in Outdoor Environments : MAVNet,"Learning to Navigate Autonomously in Outdoor Environments : MAVNet Saumya Kumaar2, Arpit Sangotra3, Sudakshin Kumar3, Mayank Gupta3, Navaneethkrishnan B2 and S N Omkar1" @@ -17048,12 +14629,6 @@ The Faces of Engagement: Automatic Recognition of Student Engagement from Facial Expressions Jacob Whitehill, Zewelanji Serpell, Yi-Ching Lin, Aysha Foster, and Javier R. Movellan" -333aa36e80f1a7fa29cf069d81d4d2e12679bc67,Suggesting Sounds for Images from Video Collections,"Suggesting Sounds for Images -from Video Collections -Matthias Sol`er1, Jean-Charles Bazin2, Oliver Wang2, Andreas Krause1 and -Alexander Sorkine-Hornung2 -Computer Science Department, ETH Z¨urich, Switzerland -Disney Research, Switzerland" 33691b7e8c980ea2dea5b5d3d7bee661e9623715,Probabilistic Semi-Dense Mapping from Highly Accurate Feature-Based Monocular SLAM,"Probabilistic Semi-Dense Mapping from Highly Accurate Feature-Based Monocular SLAM Ra´ul Mur-Artal and Juan D. Tard´os @@ -17100,13 +14675,6 @@ Berlin 2007" 33a9076d5d48208960feebff9d5efdaa2203f872,Face De-Identification,"Face De-identification Ralph Gross, Latanya Sweeney, Jeffrey Cohn, Fernando de la Torre nd Simon Baker" -336b2ae3e4db996538f930b754f7d233af56a628,Learning local descriptors by optimizing the keypoint-correspondence criterion,"Learning Local Descriptors by Optimizing the -Keypoint-Correspondence Criterion: Applications to -Face Matching, Learning from Unlabeled Videos -nd 3D-Shape Retrieval -Nenad Markuˇs†, Igor S. Pandˇzi´c†, and J¨orgen Ahlberg‡ -University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia -Computer Vision Laboratory, Dept. of Electrical Engineering, Link¨oping University, SE-581 83 Link¨oping, Sweden" 33ae696546eed070717192d393f75a1583cd8e2c,Subspace selection to suppress confounding source domain information in AAM transfer learning, 8d9067da4ba5c57643ee7a84cd5c5d5674384937,Sorting out Lipschitz function approximation,"SORTING OUT LIPSCHITZ FUNCTION APPROXIMATION Cem Anil ∗ @@ -17131,24 +14699,12 @@ Austin, TX 78701" 8d384e8c45a429f5c5f6628e8ba0d73c60a51a89,Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection,"Temporal Dynamic Graph LSTM for Action-driven Video Object Detection Yuan Yuan1 Xiaodan Liang2 Xiaolong Wang2 Dit-Yan Yeung1 Abhinav Gupta2 The Hong Kong University of Science and Technology 2 Carneige Mellon University" -8def62fd86b5ea0a41fd9f892bd95b01bf072e88,A hybrid approach to content based image retrieval using visual features and textual queries,"Proceedings of the 2013 International Conference on Information, Operations Management and Statistics (ICIOMS2013), -Kuala Lumpur, Malaysia, September 1-3, 2013 -A Hybrid Approach to Content-based Image Retrieval -Smarajit Bosea, Amita Pala*, Jhimli Mallickb , Sunil Kumarc -Applied Statistics Division, Indian Statistical Institute, Kolkata, India -TechBLA Solutions, Kolkata, India -ETH, Zurich, Switzerland" 8d44861cfcb5159e0a1afb9d50f3d2c6083f605a,3 D SUPER-RESOLUTION APPROACH FOR SPARSE LASER SCANNER DATA,"D SUPER-RESOLUTION APPROACH FOR SPARSE LASER SCANNER DATA S. Hosseinyalamdarya∗, A. Yilmaza Photogrammetric Computer Vision (PCV) Lab 070 Neil avenue, Columbus, OH 43212, Commission VI, WG VI/4 KEY WORDS: 3D Super-resolution, Geometric Surface Reconstruction, Diffusion Equations, isotropic and anisotropic" -8d19cfe643582fae03ce024efaf117d1efef5e58,A Robust Likelihood Function for 3D Human Pose Tracking,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication. -The final version of record is available at http://dx.doi.org/10.1109/TIP.2014.2364113 -A Robust Likelihood Function for 3D Human Pose -Tracking -Weichen Zhang, Student Member, IEEE, Lifeng Shang, Member, IEEE, Antoni B. Chan, Member, IEEE," 8de2dbe2b03be8a99628ffa000ac78f8b66a1028,Action Recognition in Videos,"´Ecole Nationale Sup´erieure dInformatique et de Math´ematiques Appliqu´ees de Grenoble INP Grenoble – ENSIMAG UFR Informatique et Math´ematiques Appliqu´ees de Grenoble @@ -17181,42 +14737,6 @@ Received: 30 September 2008 / Accepted: 14 September 2009 / Published online: 25 8d6d0fdf4811bc9572326d12a7edbbba59d2a4cc,SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis,"SchiNet: Automatic Estimation of Symptoms of Schizophrenia from Facial Behaviour Analysis Mina Bishay, Petar Palasek, Stefan Priebe, and Ioannis Patras" -8d4f2339fcadc2d1ef2126a11dce08ce7cb75bdd,Subspace Clustering via Optimal Direction Search,"Subspace Clustering via Optimal Direction Search -Mostafa Rahmani, Student Member, IEEE and George K. Atia, Member, IEEE" -8d646ac6e5473398d668c1e35e3daa964d9eb0f6,Memory-efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment.,"MEMORY-EFFICIENT GLOBAL REFINEMENT OF DECISION-TREE ENSEMBLES AND -ITS APPLICATION TO FACE ALIGNMENT -Nenad Markuˇs† -Ivan Gogi´c† -Igor S. Pandˇzi´c† -J¨orgen Ahlberg‡ -University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia -Computer Vision Laboratory, Dept. of Electrical Engineering, Link¨oping University, SE-581 83 Link¨oping, Sweden" -8d156f3b4f1ad5d041ae9f50a0b879e25c80749e,THE HIT OR MISS COUNT OF PROBE IMAGES FOR TEN TIMES S,"International Journal of Scientific & Engineering Research, Volume 4, Issue 6, June 2013 -ISSN 2229-5518 -A New Approach for Face Recognition and Age -Classification using LDP -M Rama Bai -Professor, Dept of CSE, M.G.I.T, JNTUH, Hyderabad, Andhra Pradesh, INDIA" -8dbbaacb2585c9f06306601a81eef2c53e565ad1,Visual Systems for Interactive Exploration and Mining of Large-Scale Neuroimaging Data Archives,"NEUROINFORMATICS -METHODS ARTICLE -published: 23 April 2012 -doi: 10.3389/fninf.2012.00011 -Visual systems for interactive exploration and mining of -large-scale neuroimaging data archives -Ian Bowman, Shantanu H. Joshi and John D. Van Horn* -Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA -Edited by: -Ulla Ruotsalainen, Tampere University -of Technology, Finland -Reviewed by: -Stephen C. Strother, University of -Toronto, Canada -Chung-Chuan Lo, National Tsing Hua -University, Taiwan -*Correspondence: -John D. Van Horn, Laboratory of -Neuro Imaging, Department of -Neurology, David Geffen School of" 8d3fbdb9783716c1832a0b7ab1da6390c2869c14,Discriminant Subspace Analysis for Uncertain Situation in Facial Recognition,"Discriminant Subspace Analysis for Uncertain Situation in Facial Recognition Pohsiang Tsai, Tich Phuoc Tran, Tom Hintz and Tony Jan @@ -17261,27 +14781,9 @@ will help to push the frontiers of 3D face recognition. Three dimensional face recognition is an active research topic in biometrics [2, 3]. While 2D pictures can be cap- tured quickly, non-intrusively, and easily by widely avail-" -8de7c496c1dac3be5fa55de72867325153b119bd,Robust Face Recognition using Key-point Descriptors,"Robust Face Recognition using Key-point Descriptors -Soeren Klemm, Yasmina Andreu, Pedro Henriquez and Bogdan J. Matuszewski -Robotics and Computer Vision Research Laboratory, School of Computing Engineering and Physical Sciences, -University of Central Lancashire, Preston, U.K. -Keywords: -Face Recognition, SIFT, SURF, ORB, Feature Matching, Face Occlusions." 8db43d306a70e23e2a0e6eb2fda60f14b73f65d0,Multi-Commodity Network Flow for Tracking Multiple People,"Multi-Commodity Network Flow for Tracking Multiple People Horesh Ben Shitrit, J´erˆome Berclaz, Franc¸ois Fleuret, and Pascal Fua, Fellow, IEEE" -8dfdfcc3f34263779871d023fad973f4a1966ec0,Internet of vehicles in big data era,"Internet of Vehicles in Big Data Era -Wenchao Xu, Haibo Zhou, Member, IEEE, Nan Cheng, Member, IEEE, Feng Lyu, Weisen Shi, Jiayin Chen, -Xuemin (Sherman) Shen, Fellow, IEEE" -8d5998cd984e7cce307da7d46f155f9db99c6590,ChaLearn looking at people: A review of events and resources,"ChaLearn Looking at People: -A Review of Events and Resources -Sergio Escalera1,2, Xavier Bar´o2,3, Hugo Jair Escalante4,5, Isabelle Guyon4,6, -Dept. Mathematics and Computer Science, UB, Spain, -Computer Vision Center, UAB, Barcelona, Spain, -EIMT, Open University of Catalonia, Barcelona, Spain, -ChaLearn, California, USA, 5 INAOE, Puebla, Mexico, -6 Universit´e Paris-Saclay, Paris, France, -http://chalearnlap.cvc.uab.es" 8d2459ada191d496eeee70f1e817d0ba92075160,The evaluation of different approaches towards using Kinect sensor as a Laser scanner,"The evaluation of different approaches towards using Kinect sensor as a Laser scanner Bachelor of Science Thesis Software Engineering and Management @@ -17321,11 +14823,6 @@ Laure" Event-based Dynamic Face Detection and Tracking Based on Activity Gregor Lenz, Sio-Hoi Ieng and Ryad Benosman" -8d8461ed57b81e05cc46be8e83260cd68a2ebb4d,Age identification of Facial Images using Neural Network,"Age identification of Facial Images using Neural -Network -Sneha Thakur, Ligendra Verma -CSE Department,CSVTU -RIT, Raipur, Chhattisgarh , INDIA" 8d97e0102b5d89c62e5c6697eeaaefc82b36c809,Bottom-up attention orienting in young children with autism.,"J Autism Dev Disord (2014) 44:664–673 DOI 10.1007/s10803-013-1925-5 O R I G I N A L P A P E R @@ -17354,33 +14851,11 @@ tasks. [1]. We trained our classifier on three databases: the Cohn-Kanade Extended Database (CK+) [2], the Japanese Female Facial Expression Database (JAFFE) [3], and the" -8d559aeefb291d5b017c263a49f38e8a28439344,Visually-Driven Semantic Augmentation for Zero-Shot Learning,"VDSA: VISUALLY-DRIVEN SEMANTIC AUGMENTATION FOR ZSL -Visually-Driven Semantic Augmentation for -Zero-Shot Learning -Abhinaba Roy1,2 -Jacopo Cavazza1 -Vittorio Murino1,3 -Pattern Analysis and Computer Vision -Istituto Italiano di Tecnologia -Genova, Italy -Department of Naval, Electrical, -Electronic and Telecommunications -Engineering -University of Genova, Italy -Department of Computer Science -University of Verona, Italy" 8d8afef13a8f6195d3b874231e5e767cf62f3c50,Deep Ranking for Person Re-Identification via Joint Representation Learning,"Deep Ranking for Person Re-identification via Joint Representation Learning Shi-Zhe Chen, Chun-Chao Guo, Student Member, IEEE, and Jian-Huang Lai, Senior Member, IEEE" 8d1adf0ac74e901a94f05eca2f684528129a630a,Facial Expression Recognition Using Facial Movement Features,"Facial Expression Recognition Using Facial Movement Features" -8de065f412a7d739dff40044212c8506b5c52bf7,Multi-Person Pose Estimation for PoseTrack with Enhanced Part Affinity Fields,"Multi-Person Pose Estimation for PoseTrack with -Enhanced Part Affinity Fields -Xiangyu Zhu, Yingying Jiang, and Zhenbo Luo -Machine Learning Lab -Samsung R&D Institute of China, Beijing -Beijing, China -{xiangyu.zhu, yy.jiang}" 8df3bef321cd1b259cf6fb1ef264a2e885610044,Interactively Learning Visually Grounded Word Meanings from a Human Tutor,"Proceedings of the 5th Workshop on Vision and Language, pages 48–53, Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics" 8d7a55d184659ac97d02061a660ae4e30604185b,Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation,"Penalizing Top Performers: Conservative Loss @@ -17394,15 +14869,6 @@ Francesco Puja, Simone Grazioso, Antonio Tammaro, Valsmis Ntouskos, Marta Sanzar Speed, Flexibility, and Quality in Neural Style Transfer Chi Zhang and Yixin Zhu and Song-Chun Zhu International Center for AI and Robot Autonomy (CARA)" -4a64b020c72db15a729939a2c041ef4f5830f0f7,Challenges of Ground Truth Evaluation of Multi-target Tracking,"Challenges of Ground Truth Evaluation of Multi-Target Tracking -Anton Milan1 -Konrad Schindler2 -Stefan Roth1 -Department of Computer Science, TU Darmstadt -Photogrammetry and Remote Sensing Group, ETH Z¨urich" -4a0f98d7dbc31497106d4f652968c708f7da6692,Real-time eye gaze direction classification using convolutional neural network,"Real-time Eye Gaze Direction Classification Using -Convolutional Neural Network -Anjith George, Member, IEEE, and Aurobinda Routray, Member, IEEE" 4a303369828d9334022a0f5e8ad2b1a715d1c0c9,Deep Metric Learning by Online Soft Mining and Class-Aware Attention,"Deep Metric Learning by Online Soft Mining and Class-Aware Attention Xinshao Wang1,2, Yang Hua1,2, Elyor Kodirov2, Guosheng Hu1,2, Neil M. Robertson1,2 School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, UK @@ -17482,29 +14948,6 @@ Alexander Kolesnikov 1 Christoph H. Lampert 1" using Hand-Centric Features and Script Data Marcus Rohrbach · Anna Rohrbach · Michaela Regneri · Sikandar Amin · Mykhaylo Andriluka · Manfred Pinkal · Bernt Schiele" -4a19f6545473363b16d4a10ed13fef29b38856d3,What is a Salient Object? A Dataset and a Baseline Model for Salient Object Detection,"What is a salient object? A dataset and -baseline model for salient object detection -Ali Borji, Member, IEEE" -4af997701ce14ba689f7f964a72bcae0a2432435,The role of gaze direction in face memory in autism spectrum disorder.,"RESEARCH ARTICLE -The Role of Gaze Direction in Face Memory in Autism -Spectrum Disorder -Safa R. Zaki and Shannon A. Johnson -We tested the hypothesis that the direction of gaze of target faces may play a role in reported face recognition deficits -in those with an autism spectrum disorder (ASD). In previous studies, typically developing children and adults better -remembered faces in which the eyes were gazing directly at them compared with faces in which the eyes were averted. -In the current study, high-functioning children and adolescents with an ASD and age- and IQ-matched typically -developing controls were shown a series of pictures of faces in a study phase. These pictures were of individuals whose -gaze was either directed straight ahead or whose gaze was averted to one side. We tested the memory for these study faces -in a recognition task in which the faces were shown with their eyes closed. The typically developing group better -remembered the direct-gaze faces, whereas the ASD participants did not show this effect. These results imply that there -may be an important link between gaze direction and face recognition abilities in ASD. Autism Res 2013, (cid:129)(cid:129): (cid:129)(cid:129)–(cid:129)(cid:129). -© 2013 International Society for Autism Research, Wiley Periodicals, Inc. -Keywords: autism spectrum disorder; face recognition; eye-contact; face-processing; gaze -Face processing is a pivotal component of human -ommunication and interaction. There is evidence that -people with an autism spectrum disorder (ASD), a disor- -der characterized by impairments in social interaction -nd communication as well as restricted range of interests" 4af25075729aa4d0fa4ecf6c948f59ec15bf9565,Analysis and Evaluation of Alternatives and Advanced Solutions for System Elements Contractual Document Evolution Executive Summary,"Project N° IST-2002-507634 - BioSecure D 9.1.2 - Revision: b3 4 June 2005 @@ -17574,23 +15017,6 @@ institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit: http://www.elsevier.com/copyright" -4ac4b0a2d06ff5df1cc4941f8ae47843b4593bba,American Sign Language fingerspelling recognition from video: Methods for unrestricted recognition and signer-independence,"American Sign Language fingerspelling recognition -from video: Methods for unrestricted recognition -nd signer-independence -Taehwan Kim -A thesis submitted -in partial fulfillment of the requirements for -the degree of -Doctor of Philosophy in Computer Science -t the -Toyota Technological Institute at Chicago -Chicago, Illionois -August 2016 -Thesis Committee: -Vassilis Athitsos -Karen Livescu (Thesis Advisor) -Greg Shakhnarovich -Yisong Yue" 4ac3cd8b6c50f7a26f27eefc64855134932b39be,Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network,"Robust Facial Landmark Detection via a Fully-Convolutional Local-Global Context Network Daniel Merget @@ -17731,18 +15157,6 @@ Application to Facial Expression Recognition Dissertation Matthias Wimmer" -4a9afcc6ba45c0ff05ea93d306ff73ede32f7ed4,Multiple-shot People Re-identify based on Feature Selection with Sparsity,"International Journal of Hybrid Information Technology -Vol.8, No.1 (2015), pp.27-34 -http://dx.doi.org/10.14257/ijhit.2015.8.1.03 -Multiple-shot People Re-identify based on Feature Selection with -Sparsity -Dongping Zhang, Yanjie Li, Jiao Xu and Ye Shen -College of Information Engineering, China Jiliang University, Hangzhou 310018, -China" -4abaebe5137d40c9fcb72711cdefdf13d9fc3e62,Dimension Reduction for Regression with Bottleneck Neural Networks,"Dimension Reduction for Regression -with Bottleneck Neural Networks -Elina Parviainen -BECS, Aalto University School of Science and Technology, Finland" 4aa18f3a1c85f7a09d3b0d6b28c0339199892d60,The Application of Neural Networks for Facial Landmarking on Mobile Devices, 4a45b8f8decc178305af06d758ac7428a9070fad,Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data,"Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data @@ -17912,17 +15326,6 @@ Mohsen Hejrati UC Irvine Deva Ramanan UC Irvine" -1b55a0ad1d4738a7d46ed787542991d4a05ae27e,Accurate Object Detection and Semantic Segmentation using Gaussian Mixture Model and CNN,"IJARCCE -ISSN (Online) 2278-1021 -ISSN (Print) 2319 5940 -International Journal of Advanced Research in Computer and Communication Engineering -Vol. 4, Issue 11, November 2015 -Accurate Object Detection and Semantic -Segmentation using Gaussian Mixture Model and -Sakshi Jain1, Satish Dehriya2, Yogendra Kumar Jain3 -Research Scholar, Computer Science & Engg, Samrat Ashok Technological Institute, Vidisha (M.P.), India1 -Assist. Professor, Computer Science & Engg, Samrat Ashok Technological Institute, Vidisha (M.P.), India 2 -Head of the Department, Computer Science & Engg, Samrat Ashok Technological Institute, Vidisha (M.P.), India3" 1b457646a300c744bf098f0bfde641042602262a,Holistic and Gabor-local Feature-fusion for Face Recognition using Canonical Correlation Analysis ( CCA ),"Holistic and Gabor-local Feature-fusion for Face Recognition using Canonical Correlation Analysis (CCA) Hendra Kusuma1), Wirawan2), Adi Soeprijanto3) @@ -18109,17 +15512,6 @@ IBM China Research Lab, PRC fminliml,baoshhua,qianwh, Nalini K. Ratha IBM Watson Research Center, USA" -1b6afc2cdf931a02df46d5052b4409c770ef8660,An Approach to Analyse Facial Expression from Videos using Pyramid Histogram of Orientation Gradients,"International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 -International Conference on Industrial Automation and Computing (ICIAC- 12-13th April 2014) -RESEARCH ARTICLE -OPEN ACCESS -An Approach to Analyse Facial Expression from Videos using -Pyramid Histogram of Orientation Gradients -Ashish D. Lonare1, Shweta V. Jain2 -Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering and -Management Nagpur, India -Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering and -Management Nagpur, India" 1be18a701d5af2d8088db3e6aaa5b9b1d54b6fd3,ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF DECISION TREES,"ENHANCEMENT OF FAST FACE DETECTION ALGORITHM BASED ON A CASCADE OF DECISION TREES V. V. Khryashchev a, *, A. A. Lebedev a, A. L. Priorov a @@ -18159,11 +15551,6 @@ Farzaneh Mahdisoltani1,2, Guillaume Berger2, Waseem Gharbieh2 David Fleet1, Roland Memisevic2 {farzaneh, University of Toronto1, Twenty Billion Neurons2" -1b71e4b59358ed7ecf6117e19fc944307e58a7af,3 D Spectral Nonrigid Registration of Facial Expression Scans,"IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS -D Spectral Nonrigid Registration of -Facial Expression Scans -Gabriel L. Cuendet, Student member, IEEE, Christophe Ecabert, Marina Zimmermann, Student -member, IEEE, Hazım K. Ekenel, and Jean-Philippe Thiran, Senior Member, IEEE" 1b3505018e39a794eab032e7e313784b21be42e9,Saliency based Person Re-Identification in Video using Colour Features,"GRD Journals- Global Research and Development Journal for Engineering | Volume 1 | Issue 10 | September 2016 ISSN: 2455-5703 Saliency based Person Re-Identification in Video @@ -18193,12 +15580,6 @@ Face Detection Evaluation: A New Approach Based on the Golden Ratio (cid:8) M. Hassaballah (cid:1) Kenji Murakami (cid:1) Shun Ido Received: 1 Jan. 2011 /Revised: 9 March 2011/ Accepted: date" -1bbd83aeccae06f7d1b048f12566943ac824a490,Low-level multimodal integration on Riemannian manifolds for automatic pedestrian detection,"Low-level Multimodal Integration on Riemannian -Manifolds for Automatic Pedestrian Detection -Marco San-Biagio∗, Marco Crocco∗, Marco Cristani∗†, Samuele Martelli∗ and Vittorio Murino∗ -Pattern Analysis & Computer Vision (PAVIS), Istituto Italiano di Tecnologia (IIT), Genova - Italy -Dipartimento di Informatica, University of Verona, Verona - Italy -Email: and" 1b7b95ee13d91e9c768de6417a8919f2a3384599,A Probabilistic U-Net for Segmentation of Ambiguous Images,"A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl1∗,2,, Bernardino Romera-Paredes1, Clemens Meyer1, Jeffrey De Fauw1, @@ -18273,26 +15654,6 @@ DOI: 10.5829/idosi.mejsr.2014.20.01.11434 A Comparative Analysis of Gender Classification Techniques Sajid Ali Khan, Maqsood Ahmad, Muhammad Nazir and Naveed Riaz Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan" -d493288998422ee30fe67370497a8a35108f81e7,"Key words- Face Detection, Eigenface, Feature","Shishir Kumar et. al. / (IJCSE) International Journal on Computer Science and Engineering -Vol. 02, No. 03, 2010, 889-894 -Architecture for Mobile based Face Detection / Recognition -Shishir Kumar, Priyank Singh, Vivek Kumar -Department of CSE, Jaypee Institute of Engineering & Technology -Guna, India -transferring an image from the client side to the server -side. -The client-server architecture can be implemented in -two ways: -) Client-Server architecture using Bluetooth. -) Client-Server -protocol. -rchitecture -using HTTP -rates -recognition and -detection framework -Each of the two approaches has its advantages and -disadvantages, usage area and is complementary to" d4ced2086ccd9259ade8fabdba14e0e4d9fc0c40,A Mobile Imaging System for Medical Diagnostics,"A Mobile Imaging System for Medical Diagnostics Sami Varjo and Jari Hannuksela @@ -18303,11 +15664,6 @@ d48bd355d091e7ae75ade4e878fe346741e7da1a,Can You Spot the Semantic Predicate in Christopher Reale, Claire Bonial, Heesung Kwon and Clare R. Voss U.S. Army Research Lab, Adelphi, Maryland 20783 {claire.n.bonial.civ, heesung.kwon.civ," -d40c4e370d35264e324e4e3d5df59e51518c9979,A Transfer Learning based Feature-Weak-Relevant Method for Image Clustering,"A Transfer Learning based Feature-Weak-Relevant Method for -Image Clustering -Bo Dong, Xinnian Wang -Dalian Maritime University -Dalian, China" d41c11ebcb06c82b7055e2964914b9af417abfb2,CDI-Type I : Unsupervised and Weakly-Supervised Discovery of Facial Events 1,"CDI-Type I: Unsupervised and Weakly-Supervised Introduction Discovery of Facial Events @@ -18328,11 +15684,6 @@ expression recognition and analysis is slowed. For the most detailed and compreh systems, such as Facial Action Coding System (FACS), three to four months is typically required to train coder (’coding’ refers to the labeling of video using behavioral descriptors). Once trained, each minute of video may require 1 hour or more to code [9]. No wonder relatively few databases are yet available," -d40bd8d44fe78952769a9bb04fe74ce38ef07534,Locally Adaptive Learning Loss for Semantic Image Segmentation,"Locally Adaptive Learning Loss for Semantic Image Segmentation -Jinjiang Guo1,2, Pengyuan Ren1, Aiguo Gu1, Jian Xu1, Weixin Wu1 -Beijing NetPosa Technologies Co., Ltd. Beijing, China -Institut National des Sciences Appliqu´ees de Lyon, Lyon, France -{renpengyuan, guaiguo, xujian," d42142285c46207a16bd4294e437d504e419a9b7,Varying image description tasks : spoken versus written descriptions,"Varying image description tasks: spoken versus written descriptions Emiel van Miltenburg Vrije Universiteit Amsterdam @@ -18340,14 +15691,6 @@ Ruud Koolen Tilburg University Emiel Krahmer Tilburg University" -d4885ca24189b4414031ca048a8b7eb2c9ac646c,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN","Ef‌f‌icient Facial Representations for Age, Gender -nd Identity Recognition in Organizing Photo -Albums using Multi-output CNN -Andrey V. Savchenko -Samsung-PDMI Joint AI Center, St. Petersburg Department of Steklov Institute of -Mathematics -National Research University Higher School of Economics -Nizhny Novgorod, Russia" d44ca9e7690b88e813021e67b855d871cdb5022f,"Selecting, Optimizing and Fusing `Salient' Gabor Features for Facial Expression Recognition","QUT Digital Repository: http://eprints.qut.edu.au/ Zhang, Ligang and Tjondronegoro, Dian W. (2009) Selecting, optimizing and @@ -18375,14 +15718,6 @@ Ki-Young Moon Information Security Research Division, ETRI S. Korea" -d4e669d5d35fa0ca9f8d9a193c82d4153f5ffc4e,A Lightened CNN for Deep Face Representation,"A Lightened CNN for Deep Face Representation -Xiang Wu -School of Computer and Communication Engineering -University of Science and Technology Beijing, Beijing, China -Ran He, Zhenan Sun -National Laboratory of Pattern Recognition -Institute of Automation Chinese Academy of Sciences, Beijing, China -{rhe," d497b9e50dc2aacfb1693ca4de6ebf904404d98d,Patch Based Approaches for the Recognition of Visual Object Classes - A Survey,"ALBERT-LUDWIGS-UNIVERSIT ¨AT FREIBURG INSTITUT F ¨UR INFORMATIK Lehrstuhl f¨ur Mustererkennung und Bildverarbeitung @@ -18393,41 +15728,6 @@ Alexandra Teynor November, 2006" d444368421f456baf8c3cb089244e017f8d32c41,CNN for IMU assisted odometry estimation using velodyne LiDAR,"CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR Martin Velas, Michal Spanel, Michal Hradis, and Adam Herout" -d4c657ce3b7e47237201393aa6bba0e19442bfd2,Interpolation Based Tracking for Fast Object Detection in Videos,"Interpolation Based Tracking for Fast Object -Detection In Videos -Rahul Jain, Pramod Sankar K.*, C. V. Jawahar -Center for Visual Information Technology -pramod -IIIT-Hyderabad, INDIA" -d45dc3546702db7fcef8d4863db319ca84cc8d3d,How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs,"How emotional are you? Neural Architectures for Emotion Intensity -Prediction in Microblogs -Devang Kulshreshtha∗, Pranav Goel∗, and Anil Kumar Singh -Indian Institute of Technology (Banaras Hindu University) Varanasi -{devang.kulshreshtha.cse14, pranav.goel.cse14, -Varanasi, Uttar Pradesh, India" -d4fc055aa72b71397bdd223af212a632c026246e,Reimagining Health Data Exchange: An Application Programming Interface–Enabled Roadmap for India,"JOURNAL OF MEDICAL INTERNET RESEARCH -Balsari et al -Policy Proposal -Reimagining Health Data Exchange: An Application Programming -Interface–Enabled Roadmap for India -Satchit Balsari1,2, MD, MPH; Alexander Fortenko3, MD, MPH; Joaquín A Blaya4, PhD; Adrian Gropper5, MD; -Malavika Jayaram6, LLM; Rahul Matthan7, LLM; Ram Sahasranam8; Mark Shankar9, MD; Suptendra N Sarbadhikari10, -PhD; Barbara E Bierer11, MD; Kenneth D Mandl12,13, MD; Sanjay Mehendale14, MD, MPH; Tarun Khanna9, PhD -Beth Israel Deaconess Medical Center, Harvard Medical School, Department of Emergency Medicine, Boston, MA, United States -Harvard FXB Center for Health and Human Rights, Boston, MA, United States -NewYork-Presyterian Hospital, Emergency Medicine, New York, NY, United States -The Human Diagnosis Project, Washington DC, DC, United States -5Patient Privacy Rights, Boston, MA, United States -6Digital Asia Hub, Hong Kong, China -7TriLegal, Bangalore, India -8Athenahealth, San Francisco, CA, United States -9Harvard Business School, Boston, MA, United States -0International Institute of Health Management Research, New Delhi, India -1Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States -2Boston Children's Hospital, Computational Health Informatics Program, Boston, MA, United States" -d497543834f23f72f4092252b613bf3adaefc606,Density-Adaptive Kernel based Re-Ranking for Person Re-Identification,"Density-Adaptive Kernel based Re-Ranking for -Person Re-Identification -Ruopei Guo, Chun-Guang Li, Member, IEEE, Yonghua Li, Jiaru Lin, and Jun Guo" d4f8168242f688af29bcbbe1cc5aec7cd12a601c,Edinburgh Research Explorer Visually Grounded Meaning Representations,"Visually Grounded Meaning Representations Citation for published version: Silberer, C, Ferrari, V & Lapata, M 2016, 'Visually Grounded Meaning Representations' IEEE Transactions @@ -18482,40 +15782,6 @@ proposed changes to the DSM-5 and ICD-11. Differences across development are inc new classification frameworks. Conclusions: It is crucial to balance the needs of clinical practice in ASD diagnostic systems, with neurobiologically based theories that address the associations between social-communication and restricted/repetitive dimensions in individuals. Clarifying terminology," -d47a2c0828bcfa4ebe0b7831f0b389ea385a8ce9,Local descriptors based random forests for human detection,"TAÏP CHÍ PHAÙT TRIEÅN KH&CN, TAÄP 18, SOÁ K6- 2015 -Local descriptors based random forests for -human detection - Van-Dung Hoang -Quang Binh University, Vietnam - My-Ha Le -University of Technical Education Ho Chi Minh City, Vietnam - Hyun-Deok Kang -Ulsan National Institute of Science and Technology, Korea - Kang-Hyun Jo -University of Ulsan, Korea -(Manuscript Received on July 15, 2015, Manuscript Revised August 30, 2015) -local -forest using" -d82681348489f4f04690e65b9ffe21b68c89b5ff,Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination,"ORIGINAL RESEARCH -published: 10 April 2017 -doi: 10.3389/fnbot.2017.00019 -Cross-Subject EEG Feature Selection -for Emotion Recognition Using -Transfer Recursive Feature -Elimination -Zhong Yin 1*, Yongxiong Wang 1*, Li Liu 1, Wei Zhang 1 and Jianhua Zhang 2 -Shanghai Key Lab of Modern Optical System, Engineering Research Center of Optical Instrument and System, Ministry of -Education, University of Shanghai for Science and Technology, Shanghai, China, 2 Department of Automation, East China -University of Science and Technology, Shanghai, China -Using machine-learning methodologies to analyze EEG signals becomes increasingly -ttractive for recognizing human emotions because of the objectivity of physiological -data and the capability of the learning principles on modeling emotion classifiers from -heterogeneous features. However, the conventional subject-specific classifiers may -induce additional burdens to each subject for preparing multiple-session EEG data -s training sets. To this end, we developed a new EEG feature selection approach, -transfer recursive feature elimination (T-RFE), to determine a set of the most robust EEG -indicators with stable geometrical distribution across a group of training subjects and -specific testing subject. A validating set is introduced to independently determine" d8af6a45eaea68adda8597ae65f91ece152f7b21,Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation,"Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation Maximilian Jaritz1, 2, Raoul de Charette1, Emilie Wirbel2, Xavier Perrotton2, Fawzi Nashashibi1 @@ -18531,14 +15797,6 @@ Using Advanced Correlation Filters Chee Kiat Ng Advisor: Prof. Khosla/Reviere" -d82b93f848d5442f82154a6011d26df8a9cd00e7,NEURAL NETWORK BASED AGE CLASSIFICATION USING LINEAR WAVELET TRANSFORMS,"NEURAL NETWORK BASED AGE CLASSIFICATION USING -LINEAR WAVELET TRANSFORMS -NITHYASHRI JAYARAMAN1 & G.KULANTHAIVEL2 -Department of Computer Science & Engineering, -Sathyabama University Old Mamallapuram Road, Chennai, India -Electronics Engineering, National Institute of Technical Teachers -Training & Research, Taramani, Chennai, India -E-mail :" d850aff9d10a01ad5f1d8a1b489fbb3998d0d80e,Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter,"UNIVERSITY OF CALIFORNIA, IRVINE Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter @@ -18552,24 +15810,6 @@ Dissertation Committee: Professor Charless Fowlkes, Chair Professor Deva Ramanan Professor Alexander Ihler" -d8e061960423a17748dedbcfe4b6a6918f79c262,Fast Prototyping and Computationally Intensive Experiments,"Armadillo: An Open Source C++ Linear Algebra Library for -Fast Prototyping and Computationally Intensive Experiments -Conrad Sanderson -http://conradsanderson.id.au -Technical Report, NICTA, Australia -http://nicta.com.au -September 2010 -(revised December 2011)" -d8cf6b19c75489dd7a5f4107e2e3ec494274da41,Partial Relevance in Interactive Facial Image Retrieval,"Partial Relevance in Interactive -Facial Image Retrieval -Zhirong Yang and Jorma Laaksonen(cid:1) -Laboratory of Computer and Information Science, -Helsinki University of Technology, -P.O. Box 5400, FI-02015 HUT, Espoo, Finland -{zhirong.yang," -d8d1fb804d1f4760393c6fd70c9072fa1b39f02c,An Efficient Approach to Onboard Stereo Vision System Pose Estimation,"An Efficient Approach to Onboard Stereo -Vision System Pose Estimation -Angel Domingo Sappa, Member, IEEE, Fadi Dornaika, Daniel Ponsa, David Gerónimo, and Antonio López" d8b3bebe39f5f69d68cdb5c04b44aba3f9b5ae02,Active Vision System with Human Detection Using RGB-D images and machine learning algorithms,"Active Vision System with Human Detection Using RGB-D images and machine learning algorithms Master’s thesis in Applied Physics and in Biomedical Engineering @@ -18611,25 +15851,10 @@ d813ec3a3442f2885b76ac0133c4c5d76f9f8065,Panoptic Studio: A Massively Multiview for Social Interaction Capture Hanbyul Joo, Tomas Simon, Xulong Li, Hao Liu, Lei Tan, Lin Gui, Sean Banerjee, Timothy Godisart, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, and Yaser Sheikh" -d86fabd4498c8feaed80ec342d254fb877fb92f5,Region-Object Relevance-Guided Visual Relationship Detection,"Y. GOUTSU: REGION-OBJECT RELEVANCE-GUIDED VRD -Region-Object Relevance-Guided -Visual Relationship Detection -Yusuke Goutsu -National Institute of Informatics -Tokyo, Japan" d88eb94d7054d2668b1a8dfa311721f37ae1f059,Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering,"Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering Medhini Narasimhan, Alexander G. Schwing University of Illinois Urbana-Champaign" -d806790866ab9bad77f60436fe77232db8e0c1ba,Deep Directional Network for Object Tracking,"Article -Deep Directional Network for Object Tracking -Zhaohua Hu 1,2,* and Xiaoyi Shi 1 -School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, -Nanjing 210044, China; -Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, -Nanjing University of Information Science & Technology, Nanjing 210044, China -* Correspondence: Tel.: +86-025-58731196 -Received: 10 October 2018; Accepted: 1 November 2018; Published: 5 November 2018" d8b8e165279ca2091d5af1440ed974db4792250f,Mean Response-Time Minimization of a Soft-Cascade Detector, d83ae5926b05894fcda0bc89bdc621e4f21272da,Frugal Forests : Learning a Dynamic and Cost Sensitive Feature Extraction Policy for Anytime Activity Classification,"The Thesis committee for Joshua Allen Kelle certifies that this is the approved version of the following thesis: @@ -18701,33 +15926,6 @@ Hui Ding1, Kumar Saketh2, and Jin Sun1 Interactive and Analytics Lab, Palo Alto Research Center, Palo Alto, CA Verizon Labs, Palo Alto, CA August 22, 2017" -d8029237cde893218d21ba551fd127d045ae3422,Eye-Strip based Person Identification based on Non-Subsampled Contourlet Transform,"International Journal of Computer Applications (0975 – 8887) -Volume 121 – No.12, July 2015 -Eye-Strip based Person Identification based on -Non-Subsampled Contourlet Transform -Hemprasad Y. Patil -Dept. of ECE -Visvesvaraya National Institute -of Technology, Nagpur, India -Ashwin G. Kothari -Dept. of ECE -Visvesvaraya National Institute -of Technology, Nagpur, India -Kishor M. Bhurchandi -Dept. of ECE -Visvesvaraya National Institute -of Technology, Nagpur, India -transform -sub-band" -d8391151d6e43d8e4ea0d8206a5acb7f9be7439f,Face Fusion Recognition Based on Bit-Plane Image,"The Open Automation and Control Systems Journal, 2015, 7, 835-841 -Send Orders for Reprints to -Open Access -Face Fusion Recognition Based on Bit-Plane Image -Xiaopu Ma1,*, Changwang Liu2 and Li Zhao1 -School of Computer and Information Technology, Nanyang Normal University, Wolong Road 1638, Wolong District, -73061, Nanyang, Henan, China -School of Software, Nanyang Normal University, Wolong Road 1638, Wolong District, 473061, Nanyang, Henan, -China" d8cfc7d9b13a5e1b21fc81e9f14697ac445c3698,Dynamic and Robust Object Tracking for Activity Recognition. (Suivi dynamique et robuste d'objets pour la reconnaissance d'activités),"Dynamic and Robust Object Tracking for Activity Recognition Duc Phu Chau @@ -18872,34 +16070,11 @@ Recognition ? Marcelo Armengot, Francesc J. Ferri, and Wladimiro D´ıaz Dept. d’Inform`atica, Universitat de Val`encia Dr Moliner, 50 46100 Burjassot, Spain" -5b33a220defa5362e7e1f1b664ad18e466b0515a,Pedestrian Detection for Android Mobile Devices,"017 International Conference on Computer Science and Application Engineering (CSAE 2017) -ISBN: 978-1-60595-505-6 -Pedestrian Detection for Android Mobile Devices -Jing Li, Fang Qu and Yingdong Ma* -Inner Mongolia University, No.235, Daxue west road, Saihan District, -Hohhot,Inner Mongolia Autonomous Region, China" 5b25b9053ceafe1cf8258d8daa818a2da80c800f,Assigning affinity-preserving binary hash codes to images,"Assigning af‌f‌inity-preserving inary hash codes to images Jason Filippou Varun Manjunatha June 10, 2014" -5bb24d1250df62a56cab1445f1d8c5c61269b785,Measuring the Temporal Behavior of Real-World Person Re-Identification,"Measuring the Temporal Behavior of Real-World -Person Re-Identification -Meng Zheng, Student Member, IEEE, Srikrishna Karanam, Member, IEEE, -nd Richard J. Radke, Senior Member, IEEE" -5b721f86f4a394f05350641e639a9d6cb2046c45,Detection under Privileged Information,"A short version of this paper is accepted to ACM Asia Conference on Computer and Communications Security (ASIACCS) 2018 -Detection under Privileged Information (Full Paper)∗ -Z. Berkay Celik -Pennsylvania State University -Patrick McDaniel -Pennsylvania State University -Rauf Izmailov -Vencore Labs -Nicolas Papernot, -Ryan Sheatsley, Raquel Alvarez -Pennsylvania State University -Ananthram Swami -Army Research Laboratory" 5bb87c7462c6c1ec5d60bde169c3a785ba5ea48f,Targeting Ultimate Accuracy: Face Recognition via Deep Embedding,"Targeting Ultimate Accuracy: Face Recognition via Deep Embedding Jingtuo Liu Yafeng Deng Tao Bai Zhengping Wei Chang Huang Baidu Research – Institute of Deep Learning" @@ -18939,14 +16114,6 @@ global face transformation may be too complex to be modeled directly, it is appr tions with a constraint that imposes consistency between neighboring transformations. Local transformations and neighborhood onstraints are embedded within a probabilistic framework using two-dimensional hidden Markov models (2D HMMs). We fur- ther introduce a new ef‌f‌icient technique, called turbo-HMM (T-HMM) for approximating intractable 2D HMMs. Experimental" -5b10fa6b4c0921af7b36a58f4fd2d8fca6e3c9b1,Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification,"Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence -Low-Rank Multi-View Learning -in Matrix Completion for Multi-Label Image Classification -Meng Liu†, Yong Luo†§, Dacheng Tao‡, Chao Xu†, and Yonggang Wen§ -Key Laboratory of Machine Perception (MOE), School of EECS, PKU, Beijing 100871, China -Center for Quantum Computation and Intelligent Systems, UTS, Sydney, NSW 2007, Australia -§Division of Networks and Distributed Systems School of Computer Engineering, NTU, 639798, Singapore -{lemolemac," 5bcff482bd9652420f8f6b0e6e58ab59a562046e,Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification,"Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification @@ -18998,10 +16165,6 @@ Gilles Celeux INRIA Co-directeur de thèse : William Triggs CNRS Institut National Recherche en Informatique et Automatique" -5b1b90a0a6d491b26f427824985d69d5d0693220,Human gender classification: a review,"IEEE SENSORS JOURNAL, VOL. X, NO. X, XXXXXXX 2015 -Human Gender Classification: A Review -Yingxiao Wu, Member, IEEE, Yan Zhuang, Student Member, IEEE, Xi Long, Member, IEEE, -Feng Lin, Member, IEEE, and Wenyao Xu, Member, IEEE" 5bf9493564d1ed173aee4dc701d4e62d5f926fe3,Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs,"Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs Andres Milioto @@ -19053,21 +16216,6 @@ Transform and optimised feature selection using Ant Colony Optimisation in Support Vector Machine Sanjay Kumar Pal1, Uday Chourasia 2 and Manish Ahirwar3 Department of CSE, University Institute of Technology, RGPV, Bhopal, India1,2,3" -5b6bed112e722c0629bcce778770d1b28e42fc96,Can Your Eyes Tell Me How You Think? A Gaze Directed Estimation of the Mental Activity,"FLOREA ET AL.:CANYOUREYESTELLMEHOWYOUTHINK? -Can Your Eyes Tell Me How You Think? A -Gaze Directed Estimation of the Mental -Activity -Laura Florea -http://alpha.imag.pub.ro/common/staff/lflorea -Corneliu Florea -http://alpha.imag.pub.ro/common/staff/cflorea -Ruxandra Vrânceanu -Constantin Vertan -http://alpha.imag.pub.ro/common/staff/vertan -Image Processing and Analysis -Laboratory, LAPI -University “Politehnica” of Bucharest -Bucharest, Romania" 5b1d78b160560db5f581e65289ce5e2f99eb9b1f,Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval,"Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval Yuting Hu, Liang Zheng, Yi Yang, and Yongfeng Huang" @@ -19192,11 +16340,6 @@ Google Research Mountain View, CA" f5770dd225501ff3764f9023f19a76fad28127d4,Real Time Online Facial Expression Transfer with Single Video Camera,"Real Time Online Facial Expression Transfer with Single Video Camera" -f59ac278349083a50871822ea08172258030265a,Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials,"Large-Scale Fiber Tracking Through Sparsely -Sampled Image Sequences of Composite Materials -Youjie Zhou, Student Member, IEEE, Hongkai Yu, Student Member, IEEE, Jeff Simmons, Member, IEEE, -Craig P. Przybyla, and Song Wang, Senior Member, IEEE -nd accurate" f5748711db00d82469ff60e05f62319f1eac90c5,Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset,"Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset @@ -19249,10 +16392,6 @@ Pamela M. Pallett • Shereen J. Cohen • Karen R. Dobkins Ó Springer Science+Business Media New York 2013 faces, yet" -f5a52b69dde106cb69cb7c35dd8ca23071966876,Nonparametric Scene Parsing via Label Transfer,"Nonparametric Scene Parsing -via Label Transfer -Ce Liu, Member, IEEE, Jenny Yuen, Student Member, IEEE, and -Antonio Torralba, Member, IEEE" f5adb841e30eb635b91e95c03575f3b8767c9ed5,Learning Optimal Parameters For Multi-target Tracking,"WANG, FOWLKES: LEARNING MULTI-TARGET TRACKING Learning Optimal Parameters For Multi-target Tracking @@ -19329,14 +16468,6 @@ Objects with Deep Neural Networks Pavel Haluza Supervisor: Ing. Tomáš Hodaň May 2017" -f558af209dd4c48e4b2f551b01065a6435c3ef33,AN ENHANCED ATTRIBUTE RERANKING DESIGN FOR WEB IMAGE SEARCH,"International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE) -ISSN: 0976-1353 Volume 23 Issue 1 –JUNE 2016. -AN ENHANCED ATTRIBUTE -RERANKING DESIGN FOR WEB IMAGE -SEARCH -Sai Tejaswi Dasari#1 and G K Kishore Babu*2 -#Student,Cse, CIET, Lam,Guntur, India -* Assistant Professort,Cse, CIET, Lam,Guntur , India" f5c99652c4c89e56156faf2bed361a15de6162d5,Towards Large-Scale Multimedia Retrieval Enriched by Knowledge about Human Interpretation Retrospective Survey,"Noname manuscript No. (will be inserted by the editor) Towards Large-Scale Multimedia Retrieval Enriched @@ -19386,19 +16517,6 @@ b87eeb3b873d27c68a5a1cdfd9409c14db352d92,Hierarchical Cellular Automata for Visu Hierarchical Cellular Automata for Visual Saliency Yao Qin* · Mengyang Feng* · Huchuan Lu · Garrison W. Cottrell Received: date / Accepted: date" -b8cd49bfe1bdee9b8e76f3a9521f45a7b6f71dd2,Impact Factor : 4 . 116 IC TM Value : 3 . 00 CODEN : IJESS,"[Lakshmi* et al., 6(2): February, 2017] -IC™ Value: 3.00 -ISSN: 2277-9655 -Impact Factor: 4.116 -CODEN: IJESS7 -IJESRT -INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH -TECHNOLOGY -VIDEO BASED EMOTION RECOGNITION -Vijaya Lakshmi R*, Dr. S. Palanivel, Professor -* M.E II Year Computer Science & Engineering, Annamalai University, Annamalai Nagar-608 002 -Computer Science & Engineering, Annamalai University, Annamalai Nagar-608 002 -DOI: 10.5281/zenodo.268690" b8abc0573208786550e0bfbce4bbcac9d048537e,Context-Patch for Difficult Face Recognition Anonymous ICB 2012 submission,"CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE. Context-Patch for Difficult Face Recognition Anonymous ICB 2012 submission" @@ -19479,15 +16597,6 @@ Liangchen Song12∗ Cheng Wang23∗ Lefei Zhang1 Bo Du1 Qian Zhang2 Chang Huang2 Xinggang Wang3 Wuhan University 2Horizon Robotics Huazhong Univ. of Science and Technology" -b831a08a7098b64485587541485859c9213e6dc2,Applications of 3 D morphable models for faces with expressions,"Applications of 3D morphable models for faces with expressions -B. Chu1,2, S. Romdhani1 et L. Chen2 -Morpho, SAFRAN Group -1 boulevard Galliéni 92130 Issy-Les-Moulineaux - France -{baptiste.chu, -Université de Lyon, CNRS -Ecole Centrale de Lyon, LIRIS UMR5205, F-69134 -Lyon, France -{baptiste.chu," b86bcc153e097838fdb31ffa6c363f1d883512ae,ON-LINE UNSUPERVISED ADAPTATION FOR FACE VERIFICATION USING GAUSSIAN MIXTURE MODELS WITH MULTIPLE USER MODELS,"ON-LINE UNSUPERVISED ADAPTATION FOR FACE VERIFICATION USING GAUSSIAN MIXTURE MODELS WITH MULTIPLE USER @@ -19528,12 +16637,6 @@ nxiety using human neuroimaging and behavioral approaches. Each of these pproaches alone provides only limited information on genetic and environ- mental influences on complex human behavior across development. Together, they reflect an emerging field of translational developmental neuroscience in" -b82a4a0457170258aaf622b81e6f739a220398eb,Probe Strongly Similar Neutral Strongly Dissimilar Quasi-similar Quasi-dissimilar Push Pull,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TMM.2016.2605058, IEEE -Transactions on Multimedia -Person Re-identification via Ranking Aggregation -of Similarity Pulling and Dissimilarity Pushing -Mang Ye, Chao Liang(cid:3), Yi Yu, Zheng Wang, Qingming Leng, -Chunxia Xiao, Member, IEEE, Jun Chen, Ruimin Hu, Senior Member, IEEE" b856c0eb039effce7da9ff45c3f5987f18928bef,Pedestrian Alignment Network for Large-scale Person Re-identification,"Noname manuscript No. (will be inserted by the editor) Pedestrian Alignment Network for @@ -19589,24 +16692,6 @@ No Institute Given" b8a829b30381106b806066d40dd372045d49178d,A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation,"A Probabilistic Framework for Joint Pedestrian Head nd Body Orientation Estimation Fabian Flohr, Madalin Dumitru-Guzu, Julian F. P. Kooij, and Dariu M. Gavrila" -b88e0c3a6a95e5193085a258cd281802852e5a4a,Progression in large Age-gap face verification,"International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 -Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072 -Progression in large Age-gap face verification -Neha Rahman1, Ankit Chaora2 -,2 Dept. of Electronics and Telecommunication Engineering, Rungta College of Engineering and Technology -M.tech Scholar, Digital Electronics, 2Assistant Professor -Bhilai, India -techniques, database, machine -research projects. -. The -increasing need for surveillance related -pplications due to drug trafficking and terrorist -ctivities etc. -. The availability of real time hardware. -. The re-emergence of neural network classifiers with -emphasis on real time computation and adaptation. ----------------------------------------------------------------------***--------------------------------------------------------------------- -. The increase in emphasis on civilian or commercial" b871d1b8495025ff8a6255514ed39f7765415935,Application of Completed Local Binary Pattern for Facial Expression Recognition on Gabor Filtered Facial Images,"Application of Completed Local Binary Pattern for Facial Expression Recognition on Gabor Filtered Facial Images Tanveer Ahsan, 2Rifat Shahriar, *3Uipil Chong @@ -19711,16 +16796,6 @@ http://hdl.handle.net/10072/56813 Link to published version http://www.aprs.org.au/dicta13/ Griffith Research Online" -4183d1b79d54f5638063e6c59a2a873ee2cd1bed,Multi-cue pedestrian classification with partial occlusion handling,"Multi-Cue Pedestrian Classification With Partial Occlusion Handling -Markus Enzweiler1 -Angela Eigenstetter2 -Bernt Schiele2,3 -Dariu M. Gavrila4,5 -Image & Pattern Analysis Group, Univ. of Heidelberg, Germany -Computer Science Department, TU Darmstadt, Germany -MPI Informatics, Saarbr¨ucken, Germany -Environment Perception, Group Research, Daimler AG, Ulm, Germany -5 Intelligent Autonomous Systems Group, Univ. of Amsterdam, The Netherlands" 41de109bca9343691f1d5720df864cdbeeecd9d0,Facial Emotion Recognition: A Survey and Real-World User Experiences in Mixed Reality,"Article Facial Emotion Recognition: A Survey and Real-World User Experiences in Mixed Reality @@ -19761,11 +16836,6 @@ PROJECT DESCRIPTION Project Overview The computer vision research problem of human re-identification or “re-id” is generally posed as follows: Given a cropped rectangle of pixels representing a human in one view, a re-id algorithm produces a similarity" -41decbe12a8aa7996163636e09d1ce1372c271cd,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,"Attentive Fashion Grammar Network for -Fashion Landmark Detection and Clothing Category Classification -Wenguan Wang∗1,2, Yuanlu Xu∗2, Jianbing Shen†1, and Song-Chun Zhu2 -Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China -Department of Computer Science and Statistics, University of California, Los Angeles, USA" 4189aa74550c1761dd5927442d0a98ff3d3d1134,Residual Conv-Deconv Grid Network for Semantic Segmentation,"FOURURE ET AL.: RESIDUAL CONV-DECONV GRIDNET Residual Conv-Deconv Grid Network for Semantic Segmentation @@ -19787,12 +16857,6 @@ Christian Wolf2" Kaiming He Ross Girshick Piotr Doll´ar Facebook AI Research (FAIR)" -4192454749b4fc4a95348e7260c2f5c56a06cafd,Image retrieval using efficient feature vectors generated from compressed domain,"IMAGE RETRIEVAL USING EFFICIENT FEATURE VECTORS -GENERATED FROM COMPRESSED DOMAIN -Daidi Zhong, Irek Defée -Department of Information Technology, Tampere University of Technology. -P.O. Box 553, FIN-33101 Tampere, Finland -{daidi.zhong," 41fafb5392ad5e33e5169d870812ab5edca301a1,Tree-Structured Stick Breaking Processes for Hierarchical Data,"TREE-STRUCTURED STICK BREAKING PROCESSES FOR HIERARCHICAL DATA By Ryan P. Adams, Zoubin Ghahramani and Michael I. Jordan @@ -19865,15 +16929,6 @@ Yang-Ting Chou, Shih-Ming Huang and Jar-Ferr Yang*" 4196e0b77f88ea01cd868c535befb52c2722454f,3D Facial similarity: Automatic assessment versus perceptual judgments,"D Facial Similarity: Automatic Assessment versus Perceptual Judgments Anush K. Moorthy, Anish Mittal, Sina Jahanbin, Kristen Grauman and Alan C. Bovik" -41c1b8f319e27be0c77c3b33cf877c29b1676501,"Face Recognition based on Radon Transform , PCA , LDA using KNN and SVM","I.J. Computer Network and Information Security, 2014, 7, 36-43 -Published Online June 2014 in MECS (http://www.mecs-press.org/) -DOI: 10.5815/ijcnis.2014.07.05 -D Face Recognition based on Radon Transform, -PCA, LDA using KNN and SVM -P. S. Hiremath and Manjunatha Hiremath -Department of Computer Science, Gulbarga University, Gulbarga – 585106 -e-mail: and -Karnataka, India" 41308edf82ae645923efea2d6979d076b975ee25,Convolutional Scale Invariance for Semantic Segmentation,"Convolutional Scale Invariance for Semantic Segmentation Ivan Kre(cid:20)so, Denis (cid:20)Cau(cid:20)sevi(cid:19)c, Josip Krapac and Sini(cid:20)sa (cid:20)Segvi(cid:19)c @@ -19910,9 +16965,6 @@ processing based on the structure of the face, the complementary Data-Driven Fac project is directed toward deriving models of facial movement (including non-speech gestures) directly from data. Discussion of Methodology Used" -4188bd3ef976ea0dec24a2512b44d7673fd4ad26,Nonlinear Non-Negative Component Analysis Algorithms,"Nonlinear Non-Negative Component -Analysis Algorithms -Stefanos Zafeiriou, Member, IEEE, and Maria Petrou, Senior Member, IEEE" 41690be86b39c55a26ea056261513ddd726d6601,Heterogeneous microarchitectures trump voltage scaling for low-power cores,"Heterogeneous Microarchitectures Trump Voltage Scaling for Low-Power Cores Andrew Lukefahr, Shruti Padmanabha, Reetuparna Das, Ronald Dreslinski Jr., @@ -20123,23 +17175,6 @@ Department of Computer Engineering, Faculty of Engineering, Prince of Songkla University, Hat Yai, Songkhla, 90112 Thailand Telephone: (66)080-7045015, (66)074-287-357 E-mail:" -84b451a5749837d28af5e96fd3349d852fefe4f2,A Robust Face Recognition Approach through Different Local Features,"[Yohanu, 4(9): September 2017] ISSN 2348 – 8034 -DOI- 10.5281/zenodo.888845 Impact Factor- 4.022 -GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES -A ROBUST FACE RECOGNITION APPROACH THROUGH DIFFERENT LOCAL -*1PG Student, ECE Department, Indira Institute of Technology & Sciences, Markapur, A.P, India, -Assistant Professor, ECE Department Indira Institute of Technology & Sciences, Markapur, A.P, India -FEATURES -K.Yohanu*1 & M.Pradeep2" -846f3857976ba437e0592a848e47f6a3370880a3,SERSC 3 D Face Recognition Based on Depth and Intensity Gabor Features using Symbolic PCA and AdaBoost,"International Journal of Signal Processing, Image Processing and Pattern Recognition -Vol.6, No.5 (2013), pp.1-12 -http://dx.doi.org/10.14257/ijsip.2013.6.5.01 -D Face Recognition Based on Depth and Intensity Gabor -Features using Symbolic PCA and AdaBoost -P. S. Hiremath and Manjunatha Hiremath -Department of Computer Science -Gulbarga University, Gulbarga – 585106 -Karnataka, India," 8411fe1142935a86b819f065cd1f879f16e77401,Facial Recognition using Modified Local Binary Pattern and Random Forest,"International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 4, No. 6, November 2013 Facial Recognition using Modified Local Binary Pattern and Random Forest @@ -20162,10 +17197,6 @@ weak supervision Steven Hickson, Anelia Angelova, Irfan Essa, Rahul Sukthankar Google Brain / Google Research (shickson, anelia, irfanessa," -841a5de1d71a0b51957d9be9d9bebed33fb5d9fa,PCANet: A Simple Deep Learning Baseline for Image Classification?,"PCANet: A Simple Deep Learning Baseline for -Image Classification? -Tsung-Han Chan, Member, IEEE, Kui Jia, Shenghua Gao, Jiwen Lu, Senior Member, IEEE, -Zinan Zeng, and Yi Ma, Fellow, IEEE" 84187adc5e6412123405102bb3c2f0428713593c,Quad-Tree based Image Encoding Methods for Data-Adaptive Visual Feature Learning,"IPSJ SIG Technical Report Quad-Tree based Image Encoding Methods for Data-Adaptive Visual Feature Learning @@ -20186,12 +17217,6 @@ CVC and DCC, UAB Germ´an Ros CVC and DCC, UAB December 30, 2016" -84eb543a649f7331403caef6aaf96177c6cf5571,Automatic Rank Determination in Projective Nonnegative Matrix Factorization,"Automatic Rank Determination in Projective -Nonnegative Matrix Factorization -Zhirong Yang, Zhanxing Zhu, and Erkki Oja -Department of Information and Computer Science(cid:2) -Aalto University School of Science and Technology -P.O.Box 15400, FI-00076, Aalto, Finland" 84c35fc21db3bcd407a4ffb009912b6ac5a47e3c,MGAN: TRAINING GENERATIVE ADVERSARIAL NETS,"Under review as a conference paper at ICLR 2018 MGAN: TRAINING GENERATIVE ADVERSARIAL NETS WITH MULTIPLE GENERATORS @@ -20226,25 +17251,6 @@ into multi-resolution sub" 84fa126cb19d569d2f0147bf6f9e26b54c9ad4f1,Improved Boosting Performance by Explicit Handling of Ambiguous Positive Examples,"Improved Boosting Performance by Explicit Handling of Ambiguous Positive Examples Miroslav Kobetski and Josephine Sullivan" -8408f4b1193e8db25fec818a989d9fe3194d5ea6,Face Recognition using Radon Transform and Symbolic LDA,"International Journal of Computer Applications (0975 - 8887) -Volume 67 - No. 4, April 2013 -D Face Recognition using Radon Transform and -Symbolic LDA -P. S. Hiremath -Department of Computer Science -Gulbarga University, Gulbarga-585106 -Karnataka, India -Manjunatha Hiremath -Department of Computer Science -Gulbarga University, Gulbarga-585106 -Karnataka, India" -84af83ff6412a756df58b6436f0d2e3c049e1f12,Abnormality Detection with Improved Histogram of Oriented Tracklets,"Abnormality Detection with Improved -Histogram of Oriented Tracklets -Hossein Mousavi1, Moin Nabi1 , Hamed Kiani Galoogahi1 -Alessandro Perina1 and Vittorio Murino1,2 -Pattern Analysis and Computer Vision Department (PAVIS) -Istituto Italiano di Tecnologia (IIT) Genova, Italy -Dipartimento di Informatica,University of Verona, Italy" 84be05dd82a7208a6e7b3d238df27b123cc917ce,Revisiting Visual Question Answering Baselines,"Revisiting Visual Question Answering Baselines Allan Jabri, Armand Joulin, and Laurens van der Maaten Facebook AI Research" @@ -20253,26 +17259,11 @@ Lei Zhang and Dimitris Samaras Department of Computer Science, SUNY at Stony Brook, NY, 11790 {lzhang," -422fc05b3ef72e96c87b9aa4190efa7c7fb8c170,Preprocessing Technique for Face Recognition Applications under Varying Illumination Conditions By,"Global Journal of Computer Science and Technology -Graphics & Vision -Volume 12 Issue 11 Version 1.0 Year 2012 -Type: Double Blind Peer Reviewed International Research Journal -Publisher: Global Journals Inc. (USA) -Online ISSN: 0975-4172 & Print ISSN: 0975-4350 -Preprocessing Technique for Face Recognition Applications -under Varying Illumination Conditions -By S.Anila & Dr.N.Devarajan -Sri Ramakrishna Institute of Technology, Coimbatore-10, Tamil Nadu, India" 42b56c77e4b154364763d4024baa8129da75151f,Deep Detection of People and their Mobility Aids for a Hospital Robot,"Deep Detection of People and their Mobility Aids for a Hospital Robot Andres Vasquez Marina Kollmitz Andreas Eitel Wolfram Burgard" -423e0f595365640b653c1195749e01394cbcd937,Web-Scale Responsive Visual Search at Bing,"Web-Scale Responsive Visual Search at Bing -Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, -Xi (Stephen) Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti -Microsoft -Redmond, Washington" 42f4653f0693f16e087e4b913407d9b0278154c9,3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning,"D Human Action Recognition with Siamese- LSTM Based Deep Metric Learning VisLab, Department of Computer Engineering, Gebze Technical University, Kocaeli, Turkey @@ -20367,12 +17358,6 @@ Luis Patino*, Tom Cane**, Alain Vallee*** and James Ferryman* 429b8d5bb05e1a580fad0222b9e9496985465e40,"See No Evil, Say No Evil: Description Generation from Densely Labeled Images","Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014), pages 110–120, Dublin, Ireland, August 23-24 2014. (Count:3) Isa: ride, vehicle,… Doing: parking,… Has: steering wheel,… Attrib: black, shiny,… children (Count:2) Isa: kids, children … Doing: biking, riding … Has: pants, bike … Attrib: young, small … bike (Count:1) Isa: bike, bicycle,… Doing: playing,… Has: chain, pedal,… Attrib: silver, white,… women(Count:3) Isa: girls, models,… Doing: smiling,... Has: shorts, bags,… Attrib: young, tan,… purses(Count:3) Isa: accessory,… Doing: containing,… Has: body, straps,… Attrib: black, soft,… sidewalk(Count:1) Isa: sidewalk, street,… Doing: laying,… Has: stone, cracks,… Attrib: flat, wide,… woman(Count:1) Isa: person, female,… Doing: pointing,… Has: nose, legs,… Attrib: tall, skinny,… tree(Count:1) Isa: plant,… Doing: growing,… Has: branches,… Attrib: tall, green,… kids(Count:5) Isa: group, teens,… Doing: walking,… Has: shoes, bags,… Attrib: young,… Fiveyoungpeopleonthestreet,twosharingabicycle.Severalyoungpeoplearewalkingnearparkedvehicles.Threegirlswithlargehandbagswalkingdownthesidewalk.Threewomenwalkdownacitystreet,asseenfromabove.Threeyoungwomanwalkingdownasidewalklookingup.Figure1:Anannotatedimagewithhumangeneratedsen-tencedescriptions.Eachboundingpolygonencompassesoneormoreobjectsandisassociatedwithacountandtextla-bels.Thisimagehas9highlevelobjectsannotatedwithover250textuallabels.tomuchofthevisualcontentneededtogeneratecomplete,human-likesentences.Inthispaper,weinsteadstudygenerationwithmorecompletevisualsupport,asprovidedbyhu-manannotations,allowingustodevelopmorecomprehensivemodelsthanpreviouslyconsid-ered.Suchmodelshavethedualbenefitof(1)providingnewinsightsintohowtoconstructmorehuman-likesentencesand(2)allowingustoper-formexperimentsthatsystematicallystudythecontributionofdifferentvisualcuesingeneration,suggestingwhichautomaticdetectorswouldbemostbeneficialforgeneration.Inanefforttoapproximaterelativelycompletevisualrecognition,wecollectedmanuallylabeledrepresentationsofobjects,parts,attributesandac-tivitiesforabenchmarkcaptiongenerationdatasetthatincludesimagespairedwithhumanauthored" -4244d3340304b114e5c00e7b5797d2338a5c2b82,Face Recognition Using Local Texture Feature,"International Journal of Computer Engineering and Applications, -Volume XII, Issue I, Jan. 18, www.ijcea.com ISSN 2321-3469 -FACE RECOGNITION USING LOCAL TEXTURE FEATURE -Pavan.M 1, Sayed Aftab Ahamed 2 -Dept. of Information Science & engineering, J.N.N.C.E -Shimoga, Karnataka, India" 4263630a35c5ee34ccf9dbd81c0541d92d0c7d5b,Shape Variation-Based Frieze Pattern for Robust Gait Recognition,"Shape Variation-Based Frieze Pattern for Robust Gait Recognition Seungkyu Lee* Yanxi Liu* Robert Collins Dept. of Computer Science and Eng. *Dept. of Electrical Eng. @@ -20393,12 +17378,6 @@ Sciences, Vanderbilt University Medical Center, and 3Department of Psychology an Vanderbilt University, Nashville, TN 37203, USA Correspondence should be addressed to Alexandra P. Key, Vanderbilt Kennedy Center, Peabody Box 74, Vanderbilt University, Nashville, TN 37203, USA. E-mail:" -42e3dac0df30d754c7c7dab9e1bb94990034a90d,PANDA: Pose Aligned Networks for Deep Attribute Modeling,"PANDA: Pose Aligned Networks for Deep Attribute Modeling -Ning Zhang1,2, Manohar Paluri1, Marc’Aurelio Ranzato1, Trevor Darrell2, Lubomir Bourdev1 -EECS, UC Berkeley -{mano, ranzato, -Facebook AI Research -{nzhang," 421b3a33ec70af2d733310f6c83ad713a314951d,Using nasal curves matching for expression robust 3D nose recognition,"Emambakhsh, M., Evans, A. and Smith, M. (2013) Using nasal curves matching for expression robust 3D nose recognition. In: IEEE Con- ference on Biometrics: Theory, Applications and Systems (BTAS2013), @@ -20453,10 +17432,6 @@ October 17, 2012" 422d352a7d26fef692a3cd24466bfb5b4526efea,Pedestrian interaction in tracking : the social force model and global optimization methods,"Pedestrian interaction in tracking: the social force model and global optimization methods Laura Leal-Taix´e and Bodo Rosenhahn" -42350e28d11e33641775bef4c7b41a2c3437e4fd,Multilinear Discriminant Analysis for Face Recognition,"Multilinear Discriminant Analysis -for Face Recognition -Shuicheng Yan, Member, IEEE, Dong Xu, Qiang Yang, Senior Member, IEEE, Lei Zhang, Member, IEEE, -Xiaoou Tang, Senior Member, IEEE, and Hong-Jiang Zhang, Fellow, IEEE" 42d8a6b1ef5acaaf4640a8974c6f99d60b56090c,Markerless Motion Capture of Multiple Characters Using Multiview Image Segmentation,"SUBMIT TO IEEE TRANS. PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. XX, NO. XX, AUGUST 2012 Markerless Motion Capture of Multiple Characters Using Multi-view Image Segmentation @@ -20668,16 +17643,6 @@ extracted from a face are decomposed in a sparse manner onto this dictionary. We that play a crucial role in the final identification rates. Applied to various databases and modalities, we show that this approach" fab0d19c58815eccb0db7215fe45d6a32066ca1c,Inferring Human Attention by Learning Latent Intentions,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17) the mug's statuschecking the book's statuslocating the dispenserFigure1:Humanattentionandintentionsina3Dscene.thedispenser,hisattentionsweepsfromthetabletothedis-penser;whilefetchingwaterfromthedispenser,hisintentionistocheckifthemugisfullandhisattentionsteadilyfocusesonthemug.Thedrivingrulesofintentionsactingonattentioncanbeindependentofactivitycategories.Forexample,inFigure1,theattentiondrivenbytheintentioncheckingstatusalwayspresentsassteadilyfocusing,evenindifferentactivities.Thisphenomenonmakesitpossibletoinfertheattentionwiththesamerulesacrossdifferentactivities.However,thesedrivingrulesarehiddenandshouldbelearnedfromdata.Thispaperproposesaprobabilisticmethodtoinfer3Dhu-manattentionbyjointlymodelingattention,intentions,andtheirinteractions.Theattentionandintentionarerepresent-edwithfeaturesextractedfromhumanskeletonsandscenevoxels.Humanintentionsaretakenaslatentvariableswhichguidethemotionsandformsofhumanattention.Conversely,thehumanattentionrevealstheintentionfeatures.Attentioninferenceismodeledasajointoptimizationwithlatenthu-manintentions.WeadoptanEM-based[Bishop,2006]approachtolearnthemodelparametersandminethelatentintentions.Giv-enanRGB-DvideowithhumanskeletonscapturedbytheKinectcamera,ajoint-statedynamicprogrammingalgorithm" -fa24a04f1e8095d47e2d2ce0076bf47bdd6f997a,Wavelet Based Face Recognition for Low Quality Images,"International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering -Vol. 2, Issue 1, January 2013 -Wavelet Based Face Recognition for Low -ISSN: 2278 – 8875 -Quality Images -M.Karthika, 2K.Shanmugapriya, 3Dr.S.Valarmathy, 4M.Arunkumar -PG Scholar, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu,India -PG Scholar, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu,India -Professor and Head, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India -Assistant Professor, Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India" fa08a4da5f2fa39632d90ce3a2e1688d147ece61,Supplementary material for “ Unsupervised Creation of Parameterized Avatars ” 1 Summary of Notations,"Supplementary material for “Unsupervised Creation of Parameterized Avatars” Summary of Notations @@ -20763,26 +17728,7 @@ Rui Guo2 UC San Diego Toyota InfoTechnology Center {yum107, yol070, amraj, ssunarjo, tjavidi," -fa356a677a4258408f6d3901ef7b450ad1ad9edf,A Review of Numerous Facial Recognition Techniques in Image Processing,"A.Swaminathan et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.1, January- 2014, pg. 233-243 -Available Online at www.ijcsmc.com -International Journal of Computer Science and Mobile Computing -A Monthly Journal of Computer Science and Information Technology -ISSN 2320–088X -IJCSMC, Vol. 3, Issue. 1, January 2014, pg.233 – 243 -REVIEW ARTICLE -A Review of Numerous Facial Recognition -Techniques in Image Processing -A.Swaminathan1, N.Kumar2, M.Ramesh Kumar3 -M.E Student, 2,3Asst Professor, -, 2, 3 Department of Computer Science & Engineering, -, 2, 3 Veltech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India -, 2, 3" fabbc7f921d77b5aa9157310df29ad81367fe92d,Efficient Image and Video Representations for Retrieval, -fa83597bf71dbeb606bca6593bcef8ecd51e8661,MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES,"MICHAEL KAMARAJ AND G. BALAKRISHNAN: MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES -MULTIPLE TARGET TRACKING USING COST MINIMIZATION TECHNIQUES -Department of Computer Applications, Pavendar Bharathidasan College of Engineering and Technology, India -Department of Computer Science and Engineering, Indra Ganesan College of Engineering, India -Michael Kamaraj1 and G. Balakrishnan2" fad895771260048f58d12158a4d4d6d0623f4158,Audio-visual emotion recognition for natural human-robot interaction,"Audio-Visual Emotion Recognition For Natural Human-Robot Interaction @@ -20848,15 +17794,6 @@ Universitat Aut`onoma de Barcelona, Spain" fa2603efaf717974c77162c93d800defae61a129,Face recognition/detection by probabilistic decision-based neural network,"Face Recognition/Detection by Probabilistic Decision-Based Neural Network Shang-Hung Lin, Sun-Yuan Kung, Fellow, IEEE, and Long-Ji Lin" -fa8c73899c22b461cc062a10b6df20fccb18800c,A Novel Framework for Face Recognition in Real-Time Environments Tmt .,"International Journal of Scientific and Research Publications, Volume 3, Issue 8, August 2013 -ISSN 2250-3153 -A Novel Framework for Face Recognition in Real-Time -Environments -Tmt.Maithili Easwaran*, Dr.B.Poorna** -*Department of Computer Applications, S.A.Engineering College, TN, INDIA -** Department of Computer applications, Shankarlal Sundarbai Shasun Jain College for Women, TN, INDIA -i.e., -(PCA)-based" faca1c97ac2df9d972c0766a296efcf101aaf969,Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition,"Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition C´esar Roberto de Souza1,2, Adrien Gaidon1, Eleonora Vig3, Antonio Manuel L´opez2 @@ -20908,12 +17845,6 @@ Department of Electrical and Electronics Engineering, M.E.T.U. Graduate School of Informatics, M.E.T.U. {hakan.sevimli, ersin.esen, tugrul.ates, ezgican.ozan, mashar.tekin, berker.logoglu, muge.sevinc," -fa1b849697115ceede0a08ac552ea25ce2bf33a1,A N APPROACH TO F ACE R ECOGNITION OF 2-D IMAGES USING E IGEN F ACES AND PCA,"Signal & Image Processing : An International Journal (SIPIJ) Vol.3, No.2, April 2012 -AN APPROACH TO FACE RECOGNITION OF 2-D -IMAGES USING EIGEN FACES AND PCA -Annapurna Mishra1, Monorama Swain2 and Bodhisattva Dash3 -Department of Electronics & Telecommunication Engineering -Silicon Institute of Technology, Bhubaneswar, India" faa111d749eb228c686643e4667dd1bc21c724f2,Condensed from Video Sequences for Place Recognition,"Boosting Descriptors Condensed from Video Sequences for Place Recognition Tat-Jun Chin, Hanlin Goh and Joo-Hwee Lim Institute for Infocomm Research @@ -20947,17 +17878,6 @@ GIT Vision Lab∗, Department of Computer Engineering, Gebze Institute of Techno Keywords: Age Estimation, Age Classification, Geometric Features, LBP, Gabor, LGBP, Cross Ratio, FGNET, MORPH." fa4ff855ca125b986bcb2bc6b71bef2ae8fde1cf,"3d Integral Invariant Signatures and Their Application on Face Recognition Dedication I Am Grateful for the Support and Guidance I Have Received from Dr. Irina A. Kogan, and I Also Express My Gratitude To", -fab60b3db164327be8588bce6ce5e45d5b882db6,Maximum A Posteriori Estimation of Distances Between Deep Features in Still-to-Video Face Recognition,"Maximum A Posteriori Estimation of Distances -Between Deep Features in Still-to-Video Face -Recognition -Andrey V. Savchenko -National Research University Higher School of Economics -Laboratory of Algorithms and Technologies for Network Analysis, -6 Rodionova St., Nizhny Novgorod, Russia -Natalya S. Belova -National Research University Higher School of Economics -0 Myasnitskaya St., Moscow, Russia -September 2, 2018" fa4544e5dce135c3d0517304ec9e620c78267891,LIDAR-based driving path generation using fully convolutional neural networks,"LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks Luca Caltagirone∗, Mauro Bellone, Lennart Svensson, Mattias Wahde" @@ -21026,10 +17946,6 @@ UPMC – Sorbonne Universit´es, Paris, France Joo-Hwee Lim† Institute for Infocomm Research A*STAR, Singapore" -6742c0a26315d7354ab6b1fa62a5fffaea06da14,What does 2 D geometric information really tell us about 3 D face shape ?,"BAS AND SMITH: WHAT DOES 2D GEOMETRIC INFORMATION REALLY TELL US ABOUT 3D FACE SHAPE? -What does 2D geometric information -really tell us about 3D face shape? -Anil Bas and William A. P. Smith, Member, IEEE" 6740f4918d594094f5eca3c0c65006c9c6d6c1d4,Class Room Attendance System Using Facial Recognition System,"The International Journal of Mathematics, Science, Technology and Management (ISSN : 2319-8125) Vol. 2 Issue 3 Class Room Attendance System Using Facial @@ -21049,29 +17965,6 @@ Guilhem Chéron∗ 1 2 Jean-Baptiste Alayrac∗ 1 Ivan Laptev1 Cordelia Schmid2" -679136c2844eeddca34e98e483aca1ff6ef5e902,Scene-Specific Pedestrian Detection Based on Parallel Vision,"Scene-Specific Pedestrian Detection Based on -Parallel Vision -Wenwen Zhang, Kunfeng Wang, Member, IEEE, Hua Qu, Jihong Zhao, and Fei-Yue Wang, Fellow, IEEE" -6775c818b26263c885b0ce85c224dfd942c9652e,PEDESTRIAN AND OBJECT DETECTION USING LEARNED CONVOLUTIONAL FILTERS,"U.P.B. Sci. Bull., Series C, Vol. 77, Iss. 2, 2015 -ISSN 2286-3540 -PEDESTRIAN AND OBJECT DETECTION USING LEARNED -CONVOLUTIONAL FILTERS -Anamaria R ˘ADOI1 , Dan Alexandru STOICHESCU2 -Object detection is still a very active field in Computer Vision. Until now, part -ased models proved to be one of the most interesting and successful approaches -in object and pedestrian detection. The method applies a machine learning ap- -proach not to the input images themselves, but to histograms of gradients. How- -ever, its performances are still limited when compared to what humans can do. -The purpose of the present paper is to show that sparse representations can be -successfully used in object detection. The main advantage of using this method is -related to the possibility of learning only those filters that are able to express the -most frequent patterns that appear in the analyzed images. The experiments are -arried out on two widely used datasets, namely VOC2007 and INRIA Person. -Keywords: learned filterbanks, stochastic gradient descent, pedestrian detection, -object detection, Histogram of Oriented Gradients. -. Introduction -Object detection is a major challenge for many areas of research, starting -from medicine and going to applications such as street surveillance or video appli-" 67126ad0af544740c455311d08cb180aec830a6c,Generating Descriptions of Spatial Relations between Objects in Images,"Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), pages 100–104, Brighton, September 2015. c(cid:13)2015 Association for Computational Linguistics" 67484723e0c2cbeb936b2e863710385bdc7d5368,Anchor Cascade for Efficient Face Detection,"Anchor Cascade for Efficient Face Detection @@ -21111,21 +18004,6 @@ Susanna Ricco∗ Rahul Sukthankar∗ Cordelia Schmid† ∗ Jitendra Malik‡ ∗" -676c76c4e3ac2f91a2209ecdae8d20be4de7c9c0,Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System,"International Journal of Computer Applications (0975 – 8887) -Volume 168 – No.12, June 2017 -Performance of Gabor mean Feature Extraction -Techniques for Ear Biometrics Recognition System -Bhanu Vadhwani -Rajasthan College of Engg. -for Women, India -Vineet Khanna -JaipuRajasthan College of -Engg. for Women -Shubhlakshmi Agarwal -The ICFAI University, Jaipur, India -Sandeep Kumar Gupta -Machine Learning Research -Lab, Jaipur, India" 679aded003bce19aa7821295117693b9a5b4f0ef,Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation,"Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation Mykhaylo Andriluka∗ @@ -21159,19 +18037,6 @@ Anguelos Nicolaou∗, Andrew D. Bagdanov∗, Marcus Liwicki†, and Dimosthenis Computer Vision Center, Edifici O, Universitad Autonoma de Barcelona,Bellaterra, Spain DIVA research group, Department of Informatics, University of Fribourg, Switzerland Email:" -6789bddbabf234f31df992a3356b36a47451efc7,Unsupervised Generation of Free-Form and Parameterized Avatars.,"Unsupervised Generation of Free-Form and -Parameterized Avatars -Adam Polyak, Yaniv Taigman, and Lior Wolf, Member, IEEE" -67e488d4d31d65a31d4bc2a3337c587720af2a12,Cross-Class Sample Synthesis for Zero-shot Learning,"LIU, LI, YANG: CROSS-CLASS SAMPLE SYNTHESIS FOR ZERO-SHOT LEARNING -Cross-Class Sample Synthesis -for Zero-shot Learning -Jinlu Liu -Xirong Li -Gang Yang* -School of Information -Renmin University of China -Beijing, China -*Corresponding author" 67bee729d046662c6ebd9d3d695823c9d820343a,Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus,"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 588–598, Berlin, Germany, August 7-12, 2016. c(cid:13)2016 Association for Computational Linguistics" 674fcadf1b895e3a79380d3ac5afb43d406fd31a,Facial Asymmetry Assessment from 3D Shape Sequences: The Clinical Case of Facial Paralysis, @@ -21258,9 +18123,6 @@ of hip motion) under three attack scenarios, we revealed that a minimal effort m hances of impostors. However, impostors who know their closest person in the database or the genders of the users can be a threat to gait-based authentication. We also provide some new insights toward the uniqueness of gait in case of foot motion. In particular, we revealed the following: a sideway motion of the foot provides the most discrimination, compared to an up-down or" -67fd4f209aa6e8359fc86bdc12c62bbdb0529077,Scalable Nearest Neighbor Algorithms for High Dimensional Data,"Scalable Nearest Neighbor Algorithms -for High Dimensional Data -Marius Muja, Member, IEEE and David G. Lowe, Member, IEEE" 67a56dd94906a5460c263e1a1b87fa3a52c4b453,FACE ANALYSIS BY LOCAL DIRECTIONAL NUMBER PATTERN,"International Journal of Engineering Research and General Science Volume 3, Issue 1, January-February, 2015 ISSN 2091-2730 FACE ANALYSIS BY LOCAL DIRECTIONAL NUMBER PATTERN @@ -21278,18 +18140,6 @@ Nenad Markuˇs*, Miroslav Frljak*, Igor S. Pandˇzi´c*, J¨orgen Ahlberg†, an * University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia Link¨oping University, Department of Electrical Engineering, SE-581 83 Link¨oping, Sweden March 28, 2014" -eb044760b6502431da6b6f3d5ad11aaab851a1ff,Video Storytelling,"A SUBMISSION TO IEEE TRANSACTIONS ON MULTIMEDIA -Video Storytelling -Junnan Li, Yongkang Wong, Member, IEEE, Qi Zhao, Member, IEEE, Mohan S. Kankanhalli, Fellow, IEEE" -ebb7cc67df6d90f1c88817b20e7a3baad5dc29b9,Fast algorithms for Higher-order Singular Value Decomposition from incomplete data,"Journal of Computational Mathematics -Vol.xx, No.x, 200x, 1–25. -http://www.global-sci.org/jcm -doi:?? -Fast algorithms for Higher-order Singular Value Decomposition -from incomplete data* -Department of Mathematics, University of Alabama, Tuscaloosa, AL -Yangyang Xu -Email:" eb33adf3f8eb5c07b58a1433734ab1fee5d77c93,"Singleton, C. J., Ashwin, C. and Brosnan, M. (2014) Physiological Responses to Social and Nonsocial Stimuli in Neurotypical Adults With High and Low Levels of Autistic Traits:Implications for Understanding Nonsocial Drive in Autism Spectrum","Singleton, C. J., Ashwin, C. and Brosnan, M. (2014) Physiological Responses to Social and Nonsocial Stimuli in Neurotypical Adults With High and Low Levels of Autistic Traits:Implications @@ -21332,46 +18182,12 @@ t the University of Central Florida Orlando, Florida Spring Term Major Professor: Mubarak Shah" -ebe95ea3d1568c70ae49e19428be1cb401fb3df2,Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment,"Multi-feature Fusion Face Recognition Based on -Kernel Discriminate Local Preserve Projection -Algorithm under Smart Environment -.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou,China -.Key Laboratory of Gansu Advanced Control for Industrial Processes,Lanzhou,China -.Manufacturing Engineering Technology Research Center of Gansu,Lanzhou,China -Di Wu1,2,3 -Email: -Jie Cao1,2,3,4 , Jinhua Wang1,2,3,,Wei Li2,3,4 -4. College of Computer and Communication, Lanzhou University of Technology, Lanzhou ,China -Email: -local -kernel -discriminate" eb0e0a40372db32d30ceaefad046b213fac977f4,SCENE UNDERSTANDING USING BACK PROPAGATION BY NEURAL NETWORK,"Scene Understanding Using Back Propagation by Neural Network SCENE UNDERSTANDING USING BACK PROPAGATION BY NEURAL NETWORK ARTI TIWARI1 & JAGVIR VERMA2 ,2Department of Elex & Telecomm. Engg.Chouksey Engg. College,Bilaspur intelligent human-computer" -eb6243b1c9506f9450dab2a09db9c17fc2c2d364,D Face Recognition system Based on Texture Gabor Features using PCA and Support Vector Machine as a Classifier,"ISSN(Online): 2319-8753 -ISSN (Print): 2347-6710 -International Journal of Innovative Research in Science, -Engineering and Technology -(An ISO 3297: 2007 Certified Organization) -Vol. 5, Issue 8, August 2016 -D Face Recognition system Based on Texture -Gabor Features using PCA and Support -Vector Machine as a Classifier -Rajesh Yadav 1, Dr. Chandra kumarJha 2 -Assistant Professor, Department of Computer Science, Gurgaon Institute of Technology &Management, Gurgaon, -Haryana, India1 -Associate Professor, Department of Computer Science &Engineering, AIM & ACT, Banasthali University, Jaipur, -Rajasthan, India2" -ebabd1f7bc0274fec88a3dabaf115d3e226f198f,Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks,"Driver drowsiness detection system based on feature -representation learning using various deep networks -Sanghyuk Park, Fei Pan, Sunghun Kang and Chang D. Yoo -School of Electrical Engineering, KAIST, -Guseong-dong, Yuseong-gu, Dajeon, Rep. of Korea -{shine0624, feipan, sunghun.kang, cd" eb526174fa071345ff7b1fad1fad240cd943a6d7,Deeply vulnerable: a study of the robustness of face recognition to presentation attacks,"Deeply Vulnerable – A Study of the Robustness of Face Recognition to Presentation Attacks Amir Mohammadi, Sushil Bhattacharjee, and S´ebastien Marcel ∗†" @@ -21419,11 +18235,6 @@ Wushan Road, Tianhe District, Guangzhou 510640, China; (J.S.); (J.Y.) * Correspondence: Academic Editor: Willy Susilo Received: 6 February 2017; Accepted: 5 April 2017; Published: 11 April 2017" -ebd36259defde84deb0d4c09695b54befe538ac8,Robust Generalized Low Rank Approximations of Matrices,"RESEARCH ARTICLE -Robust Generalized Low Rank -Approximations of Matrices -Jiarong Shi*, Wei Yang, Xiuyun Zheng -School of Science, Xi'an University of Architecture and Technology, Xi'an, China" ebf204e0a3e137b6c24e271b0d55fa49a6c52b41,Visual Tracking Using Deep Motion Features,"Master of Science Thesis in Electrical Engineering Department of Electrical Engineering, Linköping University, 2016 Visual Tracking Using @@ -21432,26 +18243,6 @@ Susanna Gladh" eb4edbec8cb122de07951e3cf54c33fc30dd1c19,Examining the Effects of Supervision for Transfer from Synthetic to Real Driving Domains Vashisht Madhavan,"Examining the Effects of Supervision for Transfer from Synthetic to Real Driving Domains Vashisht Madhavan" -eb7e40aab49fdda492bb8aac02f520013931144b,Restricted Nearest Feature Line with Ellipse for Face Recognition,"Journal of Information Hiding and Multimedia Signal Processing -Ubiquitous International -⃝2012 ISSN 2073-4212 -Volume 3, Number 3, July 2012 -Restricted Nearest Feature Line with Ellipse for Face -Recognition -Qingxiang Feng1, Jeng-Shyang Pan2;∗ -, and Lijun Yan3 -Department of Computer Science and Technology -Harbin Institute of Technology Shenzhen Graduate School -Shenzhen, China -Department of Computer Science and Technology -Harbin Institute of Technology Shenzhen Graduate School -Corresponding Author -Shenzhen, China -(cid:3) -Department of Computer Science and Technology -Harbin Institute of Technology Shenzhen Graduate School -Shenzhen, China -Received January 2012; revised June 2012" eb3f47ed113752eaa4c989bb92aa0e3e4e0bf339,Tracking of dolphins in a basin using a constrained motion model,"Tracking of Dolphins in a Basin Using a Constrained Motion Model Clas Veibäck, Gustaf Hendeby and Fredrik Gustafsson @@ -21517,12 +18308,6 @@ in Web of Science™ Core Collection (BKCI) Interested in publishing with us? Contact Numbers displayed above are based on latest data collected." -529e2ce6fb362bfce02d6d9a9e5de635bde81191,Normalization of Face Illumination Based on Large-and Small-Scale Features,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. -> TIP-05732-2009< -Normalization of Face Illumination Based -on Large- and Small- Scale Features -Xiaohua Xie, Wei-Shi Zheng, Member, IEEE, Jianhuang Lai*, Member, IEEE -Pong C. Yuen, Member, IEEE, Ching Y. Suen, IEEE Fellow" 520e4b21302b99e5f289075541f9fe4959a639a4,Framewise approach in multimodal emotion recognition in OMG challenge,"Framewise approach in multimodal emotion recognition in OMG challenge Grigoriy Sterling1, 2, Andrey Belyaev1, 3, and Maxim Ryabov1 @@ -21555,30 +18340,9 @@ Ayeni Olaniyi Abiodun 1, Alese Boniface Kayode1, Dada Olabisi Matemilayo2 . Department of computer science, Kwara state polytechnic Ilorin, Kwara-State, Nigeria. . *Corresponding author: Ayeni Olaniyi Abiodun Mail Id: Received: September 22, 2015, Accepted: December 14, 2015, Published: December 14, 2015." -523abe29cc278f9daf03fe74d1e09d9e2711b73e,Facial Recognition System : A Review,"Debolina S. De, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.10, October- 2015, pg. 7-11 -Available Online at www.ijcsmc.com -International Journal of Computer Science and Mobile Computing -A Monthly Journal of Computer Science and Information Technology -ISSN 2320–088X -IJCSMC, Vol. 4, Issue. 10, October 2015, pg.7 – 11 -REVIEW ARTICLE -Facial Recognition System: A Review -Debolina S. De -Computer Engineering Department, Mukesh Patel School of Technology Management and Engineering, India" 5265be9c7b8b22f4e06a01736bbedf171caee74e,Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks,"Covariance of Motion and Appearance Features for Human Action and Gesture Recognition Subhabrata Bhattacharya, Nasim Souly and Mubarak Shah" -526ce11a6c80716fca69bdc111f32dfbe045e400,A Survey on Dataset Recognition of 3 D Face with Missing Parts,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611 -A Survey on Dataset Recognition of 3D Face with -Missing Parts -Madhura Patil -ME Student, Department of Computer Engineering, Sinhgad Academy of Engg. Pune, Maharashtra, India -possibly -recognition.3D -recognization -methodology" 5223f3485b96bffe7dd4b3aa71e63fd2b049fcf0,Is the Pedestrian going to Cross? Answering by 2D Pose Estimation,"Is the Pedestrian going to Cross? Answering by 2D Pose Estimation Zhijie Fang and Antonio M. L´opez" 5251cb5349e37495b3ca29b06e6ed7422f12d126,A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier,"Proceedings of the 2007 IEEE @@ -21682,22 +18446,6 @@ broad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destin´ee au d´epˆot et `a la diffusion de documents scientifiques de niveau recherche, publi´es ou non," -52d9ad99874f6b76184ad9abe45e824a6568617b,Large-Scale Active Learning with Approximations of Expected Model Output Changes,"C. K¨ading, A. Freytag, E. Rodner, A. Perino, J. Denzler -Large-scale Active Learning with Approximations of Expected Model Output Changes GCPR 2016 -(cid:13) Copyright by Springer. The final publication will be available at link.springer.com -Large-scale Active Learning with Approximations of -Expected Model Output Changes -Christoph K¨ading1,2, Alexander Freytag1,2, Erik Rodner1,2, Andrea Perino3,4, and -Joachim Denzler1,2,3 -Computer Vision Group, Friedrich Schiller University Jena, Germany -Michael Stifel Center Jena, Germany -German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany -Institute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany" -5239001571bc64de3e61be0be8985860f08d7e7e,Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling,"SUBMITTED TO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, JUNE 2016 -Deep Appearance Models: A Deep Boltzmann -Machine Approach for Face Modeling -Chi Nhan Duong, Student, IEEE, Khoa Luu, Member, IEEE, -Kha Gia Quach, Student, IEEE, Tien D. Bui, Senior Member, IEEE" 52cd3eb77a5e259289d2442205f1731eafd581f9,Human Detection Based on the Generation of a Background Image and Fuzzy System by Using a Thermal Camera,"Article Human Detection Based on the Generation of Background Image and Fuzzy System by Using @@ -21744,18 +18492,6 @@ J. Fierrez-Aguilar, J. Ortega-Garcia, D. Garcia-Romero and J. Gonzalez-Rodriguez www.atvs.diac.upm.es Universidad Politecnica de Madrid, Spain Biometrics Research Lab., ATVS" -52144c6d20ddea70e59514c2aa9ec7dc801e5c5e,An Investigation of Face Recognition Characteristics Using PCA and ICA,"Yundi Fu et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.2, February- 2014, pg. 110-123 -Available Online at www.ijcsmc.com -International Journal of Computer Science and Mobile Computing -A Monthly Journal of Computer Science and Information Technology -ISSN 2320–088X -IJCSMC, Vol. 3, Issue. 2, February 2014, pg.110 – 123 -RESEARCH ARTICLE -An Investigation of Face Recognition -Characteristics Using PCA and ICA -Yundi Fu1, Yongli Cao1, Arun Kumar Sangaiah2 -Department of Software Engineering, University of Electronic Science and Technology, China -School of Computing Science and Engineering, VIT University, Vellore, India" 5232a1ab263e4feaa4989b8b257830650403dfa5,On Finding Differences Between Faces,"On Finding Differences Between Faces Manuele Bicego1, Enrico Grosso1, and Massimo Tistarelli2 DEIR - University of Sassari, via Sardegna 58 - 07100 Sassari - Italy @@ -21775,13 +18511,6 @@ Yi Yang1, Heng Tao Shen1, Zhigang Ma2, Zi Huang1, Xiaofang Zhou1 School of Information Technology & Electrical Engineering, The University of Queensland. Department of Information Engineering & Computer Science, University of Trento. yangyi {huang," -527cc8cd2af06a9ac2e5cded806bab5c3faad9cf,Abnormal Event Detection in Videos Using Spatiotemporal Autoencoder,"Abnormal Event Detection in Videos -using Spatiotemporal Autoencoder -Yong Shean Chong -Yong Haur Tay -Lee Kong Chian Faculty of Engineering Science, -Universiti Tunku Abdul Rahman, 43000 Kajang, Malaysia. -January 9, 2017" 52a723061175ad141d73cb3979788e8afb7291db,Canonical Correlation Analysis of Datasets With a Common Source Graph,"Canonical Correlation Analysis of Datasets with a Common Source Graph Jia Chen, Gang Wang, Student Member, IEEE, @@ -21797,11 +18526,6 @@ Lisa Brown IBM Watson Sharath Pankanti IBM Watson" -bdbf414a2059d542f501ad9b1d21eacc9831082b,Two-Layer Mixture Network Ensemble for Apparel Attributes Classification,"Two-Layer Mixture Network Ensemble for Apparel -Attributes Classification -Tianqi Han, Zhihui Fu, and Hongyu Li* -AI Lab, ZhongAn Information Technology Service Co., Ltd. -Shanghai, China" bd96c3af9c433b4eaf95c8a28f072e1b0fc2de1a,A Study on Facial Expression Recognition Model using an Adaptive Learning Capability,"We are IntechOpen, the world’s leading publisher of Open Access books @@ -21844,19 +18568,6 @@ Anupam Garg Assistant Professor BGIET, Sangrur Punjab (India)" -bdf64dd341925ea7b9b3abbb49cab3cf978f8e21,PROBABLE ETIOPATHOGENESIS ( SAMPRAPTI ) OF AUTISM IN FRAME OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY,"Global J Res. Med. Plants & Indigen. Med. | Volume 2, Issue 6 | June 2013 | 448–459 -ISSN 2277-4289 | www.gjrmi.com | International, Peer reviewed, Open access, Monthly Online Journal -Review article -PROBABLE ETIOPATHOGENESIS (SAMPRAPTI) OF AUTISM IN FRAME -OF AYURVEDA IN RELATION TO INTENSE WORLD THEORY -Yadav Deepmala1*, Behera Banshidhar2, Kumar Abhimanyu3 -Asst.Professor, Dept. of Kaumarbhritya, M.S.M. Institute of Ayurveda, Khanpur kalan, Haryana-131305, -India -Lecturer, Dept. of Dravyaguna, Gaur Brahman Ayurvedic College, Rohtak, Haryana – 124001, India -Director, All India Institute of Ayurveda, Gautampuri, Mathura road, Sarita Vihar, New Delhi-110076, -India -*Corresponding Author: E-mail: Mob +919414893921, +919414458895 -Received: 10/05/2013; Revised: 26/05/2013; Accepted: 30/05/2013" bd76a71c6b1f414ada026ba82726024fbd58e9fe,DEEPSTEREOBRUSH : INTERACTIVE DEPTH MAP CREATION,"DEEPSTEREOBRUSH: INTERACTIVE DEPTH MAP CREATION Sebastian Knorr1,3,∗, Matis Hudon1,∗, Julian Cabrera2,∗, Thomas Sikora3, Aljosa Smolic1 † Trinity College Dublin, 2Universidad Polit´ecnica de Madrid, 3Technische Universit¨at Berlin" @@ -21980,9 +18691,6 @@ Yutaka Matsuo5, Helmut Prendinger6 Technical University of Munich, Munich, 2KTH Royal Institute of Technology, Stockholm, Polytechnic University of Catalonia, Barcelona, 4National Taiwan University, Taipei, 5University of Tokyo, Tokyo, 6National Institute of Informatics, Tokyo" -a577eefb31ba63baa087f321537b0be2784ec013,Security Event Recognition for Visual Surveillance,"Security Event Recognition for Visual Surveillance -Michael Ying Yang∗, Senior Member, IEEE, Wentong Liao, Chun Yang, Yanpeng Cao, Member, IEEE and Bodo -Rosenhahn Member, IEEE" a56c1331750bf3ac33ee07004e083310a1e63ddc,Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Object Instance Recognition,"Vol. xx, pp. x (cid:13) xxxx Society for Industrial and Applied Mathematics Ef‌f‌icient Point-to-Subspace Query in (cid:96)1 with Application to Robust Object @@ -22016,9 +18724,6 @@ Bahria University Islamabad, Pakistan" a5006c29b0609296b5c1368ff1113eeb12b119ad,In-flight launch of unmanned aerial vehicles,"In-flight launch of unmanned aerial vehicles Niels Nauwynck, Haris Balta, Geert De Cubber, and Hichem Sahli" -a5c63f38e2e6ca7fff48fc5cd1dbdb8f6362c99f,A Neural Approach to Blind Motion Deblurring,"A Neural Approach to Blind Motion Deblurring -Ayan Chakrabarti -Toyota Technological Institute at Chicago" a588d38ec81c0337b445931eadf6f443aea13380,Functional Map of the World,"Functional Map of the World Gordon Christie1 Neil Fendley1 @@ -22135,16 +18840,6 @@ Physics Department, CFSL, Sec-36, Chandigarh - 160036 to: (a) potential method" -a5fcb663bffdd39523964e3e958566f4dfbfae90,Günther Palm Towards Robust Speech Acquisition using Sensor Arrays,"Abteilung Neuroinformatik -Universit¨at Ulm -Prof. Dr. G¨unther Palm -Towards Robust Speech Acquisition -using Sensor Arrays -Dissertation zur Erlangung des Doktorgrades -Dr.rer.nat. der Fakult¨at f¨ur Ingenieurwissenschaften und Informatik der Universit¨at Ulm -Hari Krishna Maganti -us Hyderabad, India -UNIVERSITÄ(cid:13)TULM·(cid:13)SCIENDO·(cid:13)DOCENDO·(cid:13)CURANDO·(cid:13)" a546fd229f99d7fe3cf634234e04bae920a2ec33,Fast Fight Detection,"RESEARCH ARTICLE Fast Fight Detection Ismael Serrano Gracia1*, Oscar Deniz Suarez1*, Gloria Bueno Garcia1*, Tae-Kyun Kim2 @@ -22170,8 +18865,6 @@ Visual Behavior in Public Speaking Rahul Sharma, Tanaya Guha and Gaurav Sharma IIT Kanpur {rahus, tanaya," -a52d6c456122007f10c90989a1e81dc8e1c599da,Query-Adaptive Image Search With Hash Codes,"Query-Adaptive Image Search with Hash Codes -Yu-Gang Jiang, Jun Wang, Member, IEEE, Xiangyang Xue, Member, IEEE, Shih-Fu Chang, Fellow, IEEE" a59e338fec32adee012e31cdb0513ec20d6c8232,Phase Retrieval Under a Generative Prior,"Phase Retrieval Under a Generative Prior Paul Hand∗, Oscar Leong∗, and Vladislav Voroninski† July 12, 2018" @@ -22182,39 +18875,11 @@ JIRI STASTNY*, VLADISLAV SKORPIL** Brno University of Technology, Purkynova 118, 612 00 Brno, CZECH REPUBLIC," -e0dedb6fc4d370f4399bf7d67e234dc44deb4333,Material : MultiTask Video Captioning with Video and Entailment Generation,"Supplementary Material: Multi-Task Video Captioning with Video and -Entailment Generation -Ramakanth Pasunuru and Mohit Bansal -UNC Chapel Hill -{ram, -Experimental Setup -.1 Datasets -.1.1 Video Captioning Datasets -YouTube2Text or MSVD The Microsoft Re- -search Video Description Corpus (MSVD) or -YouTube2Text (Chen and Dolan, 2011) is used -for our primary video captioning experiments. It -has 1970 YouTube videos in the wild with many -diverse captions in multiple languages for each -video. Caption annotations to these videos are -ollected using Amazon Mechanical Turk (AMT). -All our experiments use only English captions. On -verage, each video has 40 captions, and the over- -ll dataset has about 80, 000 unique video-caption -pairs. The average clip duration is roughly 10 sec-" e0181f7596b475f7c7d31fd1eccad8e9b7379180,Facial Expression Recognition for Traumatic Brain Injured Patients, e076f818b090e42036821c69727cfa3b7da49373,Social Groups Detection in Crowd through Shape-Augmented Structured Learning,"Social Groups Detection in Crowd Through Shape-Augmented Structured Learning Francesco Solera and Simone Calderara DIEF University of Modena and Reggio Emilia, Italy" -e0e8c7145c9b389dad2f4e1982f2b9c31b766503,Augmenting Crowd-Sourced 3 D Reconstructions using Semantic Detections,"Augmenting Crowd-Sourced 3D Reconstructions using Semantic Detections -True Price1 -Department of Computer Science, UNC Chapel Hill -Johannes L. Sch¨onberger2 -Zhen Wei1 Marc Pollefeys2 -Department of Computer Science, ETH Z¨urich -Jan-Michael Frahm1 -Microsoft" e000dd1aec1c7b1e9e781ec7ea66f2bde72faa5e,Ear Recognition : A Complete System,"Ear Recognition: A Complete System Ayman Abazaa,b and MaryAnn F. Harrisona West Virginia High Tech Foundation, 1000 Technology Drive, Fairmont, USA; @@ -22300,13 +18965,6 @@ Marcin Mo˙zejko, Mateusz Susik & Rafał Karczewski Sigmoidal" e0ad3408ed47261a9d0fbc2f037b395fb41b88bf,MOTION VECTOR FIELD ESTIMATION USING BRIGHTNESS CONSTANCY ASSUMPTION AND EPIPOLAR GEOMETRY CONSTRAINT,"ISPRS Technical Commission I Symposium, Sustaining Land Imaging: UAVs to Satellites 7 – 20 November 2014, Denver, Colorado, USA, MTSTC1-109" -e054291cbf250592d032722b99c414c2e4741c03,A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction,"A Fast Fixed-Point Algorithm for Two-Class -Discriminative Feature Extraction -Zhirong Yang and Jorma Laaksonen -Laboratory of Computer and Information Science ⋆ -Helsinki University of Technology -P.O. Box 5400, FI-02015 HUT, Espoo, Finland -{zhirong.yang," e0e511a5d58a8d090ad169be4fcfdbeaef097a70,Leveraging Cognitive Computing for Gender and Emotion Detection,"Leveraging Cognitive Computing for Gender and Emotion Detection Andrea Corriga1, Simone Cusimano1, Francesca M. Malloci1, Lodovica @@ -22414,11 +19072,6 @@ Erica Gessaroli1,2, Erica Santelli3, Giuseppe di Pellegrino1,4*, Francesca Frass Department of Psychology, University of Bologna, Bologna, Italy, 2 Fondazione Salvatore Maugeri, Clinica del Lavoro e della Riabilitazione, Istituto di Ricovero e Cura a Carattere Scientifico, Mantova, Castel Goffredo, Italy, 3 Centro Autismo, Reggio Emilia, Italy, 4 Center for Studies and Research in Cognitive Neuroscience, Cesena, Italy" -e0d2a28bdcb1996f9659ce2d5fcdace3d369cff6,Fusion Scheme for Semantic and Instance-level Segmentation,"Fusion Scheme for Semantic and Instance-level Segmentation -Arthur Daniel Costea ∗, Andra Petrovai ∗ and Sergiu Nedevschi -Image Processing and Pattern Recognition Research Center -Technical University of Cluj-Napoca, Romania -{arthur.costea, andra.petrovai," 6898b0934d2bc34acc61a3c63fbb20337d7b9a95,Learning Styles and Emotion Recognition in a Fuzzy Expert System,"Learning Styles and Emotion Recognition in a Fuzzy Expert System Ramón Zatarain-Cabada, M. Lucía Barrón-Estrada, Rosalío Zatarain-Cabada @@ -22429,15 +19082,6 @@ Instituto Tecnológico de Culiacán, Juan de Dios Bátiz s/n, Col. Guadalupe, Cu nd Dominance Underlie Perceptions of Criminality? Heather D. Flowe* College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, United Kingdom" -68a2ee5c5b76b6feeb3170aaff09b1566ec2cdf5,AGE CLASSIFICATION BASED ON SIMPLE LBP TRANSITIONS,"AGE CLASSIFICATION BASED ON -SIMPLE LBP TRANSITIONS -Research Scholar & Assoc Professor, Aditya institute of Technology and Management, Tekkalli-532 201, A.P., -Gorti Satyanarayana Murty -India, -Dr. V.Vijaya Kumar -A. Obulesu -Dean-Computer Sciences (CSE & IT), Anurag Group of Institutions, Hyderabad – 500088, A.P., India., -3Asst. Professor, Dept. Of CSE, Anurag Group of Institutions, Hyderabad – 500088, A.P., India." 683260bf133c282439b91ac4427d42d73a5988b5,"Optimizing Program Performance via Similarity, Using Feature-aware and Feature-agnostic Characterization Approaches","UNIVERSITY OF CALIFORNIA, IRVINE Optimizing Program Performance via Similarity, @@ -22605,44 +19249,6 @@ Danielle Bons & Egon van den Broek & Floor Scheepers & Pierre Herpers & Nanda Rommelse & Jan K. Buitelaaar Published online: 25 October 2012 # Springer Science+Business Media New York 2012" -6826ae2e1598be376f5b64f302172bebc57b64cb,Foreground Object Segmentation with Objectness Measure,"Foreground Object Segmentation with Objectness -Measure -Junguang Zhu1 -National Digital Switching System Engineering & Technological Research Center -Zhengzhou, 450002,China -E-mail: -lixin Ji2 -National Digital Switching System Engineering & Technological Research Center -Zhengzhou, 450002, China -E-mail: -hengqiu xiao3 -Troop 75753, People's Liberation Army -Guangzhou, 510600, China -E-mail: -This paper proposes a novel model to address the problem of image segmentation with -objectness measure. Recently, many objectness measures are proposed, which aims to generate -andidate windows to localize the possible objects in the image. Consider to combine this useful -object location piror into a foreground segment model. Specifically, a Conditional Random Filed -model is constructed on superpixels graph, and it efficiently incorporates objectness measure, -olor distribution and appearance similarity. Expermental results on a extended GrabCut dataset" -680402e42c874c14a32146865d985588985744a4,DETECTION AND TRACKING OF MULTIPLE HUMANS IN HIGH-DENSITY CROWDS,"DETECTION AND TRACKING OF MULTIPLE HUMANS IN -HIGH-DENSITY CROWDS -Irshad Ali -A research study submitted in partial fulfillment of the requirements for the -degree of Master of Engineering in -Computer Science -Examination Committee: Dr. Matthew N. Dailey (Chairperson) -Dr. Manukid Parnichkun (Member) -Dr. Nitin V. Afzulpurkar (Member) -Nationality: Pakistani -Previous Degree: Bachelor of Science in Computer Engineering -Samara State Technical University, Russia -Scholarship Donor: Higher Education Commission (HEC), Pakistan - AIT -Fellowship -Asian Institute of Technology -School of Engineering and Technology -Thailand -May 2009" 68df1f746a3434ee8bcc8918d46809ddaad38b12,Subspace learning in minimax detection,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) 978-1-4799-2893-4/14/$31.00 ©2014 IEEE Email: {raja.fazliza, david.mary, @@ -22653,18 +19259,6 @@ Laboratoire J.-L. Lagrange, UMR7293, . INTRODUCTION AND PRIOR WORKS (cid:26) H0" 68caf5d8ef325d7ea669f3fb76eac58e0170fff0,Long-term face tracking in the wild using deep learning, -68003e92a41d12647806d477dd7d20e4dcde1354,Chapter-4 FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE PRIMITIVES FOR EFFICIENT FACE RECOGNITION,"ISSN: 0976-9102 (ONLINE) -DOI: 10.21917/ijivp.2013.0101 -ICTACT JOURNAL ON IMAGE AND VIDEO PROCESSING, NOVEMBER 2013, VOLUME: 04, ISSUE: 02 -FUZZY BASED IMAGE DIMENSIONALITY REDUCTION USING SHAPE -PRIMITIVES FOR EFFICIENT FACE RECOGNITION -P. Chandra Sekhar Reddy1, B. Eswara Reddy2 and V. Vijaya Kumar3 -Deprtment of Computer Science and Engineering, Nalla Narasimha Reddy Education Society’s Group of Institutions, India -E-Mail: -Deprtment of Computer Science and Engineering, JNTUA College of Engineering, India -Deprtment of Computer Science and Engineering, Anurag Group of Institutions, India -E-mail: -E-mail:" 68d4056765c27fbcac233794857b7f5b8a6a82bf,Example-Based Face Shape Recovery Using the Zenith Angle of the Surface Normal,"Example-Based Face Shape Recovery Using the Zenith Angle of the Surface Normal Mario Castel´an1, Ana J. Almaz´an-Delf´ın2, Marco I. Ram´ırez-Sosa-Mor´an3, @@ -22673,25 +19267,6 @@ CINVESTAV Campus Saltillo, Ramos Arizpe 25900, Coahuila, M´exico Universidad Veracruzana, Facultad de F´ısica e Inteligencia Artificial, Xalapa 91000, ITESM, Campus Saltillo, Saltillo 25270, Coahuila, M´exico Veracruz, M´exico" -684f5166d8147b59d9e0938d627beff8c9d208dd,Discriminative Block-Diagonal Representation Learning for Image Recognition,"IEEE TRANS. NNLS, JUNE 2017 -Discriminative Block-Diagonal Representation -Learning for Image Recognition -Zheng Zhang, Yong Xu, Senior Member, IEEE, Ling Shao, Senior Member, IEEE, Jian Yang, Member, IEEE" -68415682aa3e25178c9504866f64cf4b2a32273e,Capturing Complex 3D Human Motions with Kernelized Low-Rank Representation from Monocular RGB Camera,"Article -Capturing Complex 3D Human Motions with -Kernelized Low-Rank Representation from -Monocular RGB Camera -Xuan Wang 1,2,3,4, Fei Wang 1,2,3,4,* and Yanan Chen 1,2,3,4 -The Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, No.28 Xianning West Road, -Xi’an 710048, China; (X.W.); (Y.C.) -The School of Software Engineering, Xi’an Jiaotong University, No.28 Xianning West Road, -Xi’an 710048, China -National Engineering Laboratory for Visual Information Processing and Application, Xi’an Jiaotong -University, No.28 Xianning West Road, Xi’an 710048, China -Shaanxi Digital Technology and Intelligent System Key Laboratory, Xi’an Jiaotong University, No.28 -Xianning West Road, Xi’an 710048, China -* Correspondence: -Received: 5 July 2017; Accepted: 24 August 2017; Published: 3 September 2017" 683fbd7593cf5c22ef54004bb89c469eab2f656e,URJC&UNED at ImageCLEF 2013 Photo Annotation Task,"URJCyUNED at ImageCLEF 2012 Photo Annotation task⋆ Jes´us S´anchez-Oro1, Soto Montalvo1, Antonio S. Montemayor1, Ra´ul Cabido1, @@ -22886,21 +19461,10 @@ Multi-Speaker Spontaneous Conversations – EVA Corpus IZIDOR MLAKAR, ZDRAVKO KAČIČ, MATEJ ROJC Faculty of Electrical Engineering and Computer Science, University of Maribor SLOVENIA" -c95ad088c9d96c7e94428b7e90ea8bf547cd9e42,Human Identification using Face and Voice Recognition,", 2 Department of Electronics & Telecommunication Engineering, Sant Gadge Baba Amravati University, Amravati, -Ishwar S. Jadhav, 2V. T. Gaikwad, 3Gajanan U. Patil -Department of Electronics & Communication Engineering, North Maharashtra University, Jalgaon, -Recognition -Maharashtra, India -Maharashtra, India -Human Identification using Face and Voice" c93996cb126589b30c04bf1256c97a4431c0e8b6,Robustness Analysis of Pedestrian Detectors for Surveillance,"Robustness Analysis of Pedestrian Detectors for Surveillance Yuming Fang, Senior Memmber, IEEE, Guanqun Ding, Yuan Yuan, Weisi Lin, Fellow, IEEE, nd Haiwen Liu, Senior Memmber, IEEE" -c97cd49536fcec5b50962eaf4658a973cd85bba0,Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning,"Semantic Segmentation of 3D LiDAR Data in -Dynamic Scene Using Semi-supervised Learning -Jilin Mei, Member, IEEE, Biao Gao, Member, IEEE, Donghao Xu, Member, IEEE, Wen Yao, Member, IEEE, -Xijun Zhao, Member, IEEE, and Huijing Zhao, Member, IEEE," c924137ca87e8b4e1557465405744f8b639b16fc,Seeding Deep Learning using Wireless Localization,"ADDRESSING TRAINING BIAS VIA AUTOMATED IMAGE ANNOTATION Zhujun Xiao 1 Yanzi Zhu 2 Yuxin Chen 1 Ben Y. Zhao 1 Junchen Jiang 1 Haitao Zheng 1" c91103e6612fa7e664ccbc3ed1b0b5deac865b02,Automatic facial expression recognition using statistical-like moments,"Automatic facial expression recognition using @@ -22933,16 +19497,6 @@ Copenhagen, Denmark, September 7–11, 2017. c(cid:13)2017 Association for Compu c90b109301244e59771fec431a8d50a78e395956,Alternative face models for 3 D face registration,"Alternative face models for 3D face registration Albert Ali Salah, Ne¸se Aly¨uz, Lale Akarun Bo˘gazi¸ci University, 34342 Bebek, ˙Istanbul, Turkey" -c9f3a5fe33782dd486cb32d9667fba0514711f04,Face and Expression Recognition Using Local Directional Number Pattern,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Impact Factor (2012): 3.358 -Face and Expression Recognition Using Local -Directional Number Pattern -Gopu Prasoona1, Dasu Vaman Ravi Prasad2 -Computer Science, CVSR College of Engineering, Venkatapur, RR dist, India -Computer Science and Engineering, CVSR College of Engineering, Venkatapur, RR dist, India -refers -to digital" c9bbf31afbec278ca735e91cf5e9c70dd3aa41a4,Enhancing 3D Face Recognition By Mimics Segmentation,"Enhancing 3D Face Recognition By Mimics Segmentation Boulbaba Ben Amor, Mohsen Ardabilian, and Liming Chen MI Department, LIRIS Laboratory, CNRS 5205 @@ -23110,11 +19664,6 @@ lished or not. The documents may come from teaching and research institutions in France or broad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est" -e8b2a98f87b7b2593b4a046464c1ec63bfd13b51,CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection,"CMS-RCNN: Contextual Multi-Scale -Region-based CNN for Unconstrained Face -Detection -Chenchen Zhu*, Student, IEEE, Yutong Zheng*, Student, IEEE, -Khoa Luu, Member, IEEE, Marios Savvides, Senior Member, IEEE" e819a577c57c83a133a0a0e81180d14dc13b82e9,Pyramid Histogram of Oriented Gradients based Human Ear Identification,"Pyramid Histogram of Oriented Gradients based Human Ear Identification Pyramid Histogram of Oriented Gradients based Human Ear Identification @@ -23128,26 +19677,6 @@ Gaithersburg, Md. 20899-8940 Elaine M. Newton 01 N. Craig St., Suite 102 Pittsburgh, Pa. 15213" -e8ff87c9072d67dcbcd5491b1e5a0cecc2ee309d,A Survey on Gaze Estimation Techniques in Smartphone,"International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 -Volume: 04 Issue: 04 | Apr -2017 www.irjet.net p-ISSN: 2395-0072 -A Survey on Gaze Estimation Techniques in Smartphone -Akshay A Gawande1, Prof.Gangotri Nathaney2 -M.Tech Scholar, CSE Department, WCOEM, Nagpur, India1 -Assistant Professor, CSE Department, WCOEM, Nagpur, India2 -image dataset -interest. Many of -field mobile technology and digital -The goal of this system to get correct gaze point with -minimum of error rate and allow handicap people to -operate mobile easily by eyes .The proposed system -onsist of collecting some steps as: Collecting people -different position eye -,preprocessing, -feature extraction, regression. This paper is organized as -follows: Section 2 comprises Previous Work; section 3 -omprises Methodology and Conclusion is in section 4. ----------------------------------------------------------------------***--------------------------------------------------------------------- -use eye trackers to identify what customer's gaze is" e8acbe49ecf7e0a77f4f5874674ac40b1e35bf8a,EXPERIMENTAL EVALUATION OF TEXT-INDEPENDENT SPEAKER VERIFICATION ON LABORATORY AND FIELD TEST DATABASES IN THE M2VTS PROJECT,"EXPERIMENTAL EVALUATION OF TEXT-INDEPENDENT SPEAKER VERIFICATION ON LABORATORY AND FIELD TEST DATABASES IN THE M2VTS PROJECT @@ -23195,14 +19724,6 @@ nd J.J. Villanueva Signal Theory and Communications Department, University of Vigo, Spain Centre de Visio per Computador, Universitat Autonoma de Barcelona, Spain Digital Pointer MVT" -e85b6f50b14014ee4a9212de4716031e21e92a89,Multiple Sensor Fusion for Moving Object Detection and Tracking,"International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 -Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072 -Multiple Sensor Fusion for Moving Object Detection and Tracking -Khan Rabiya Yunus1, Prof : M. A. Mechkul2 -,2 Dept. Of Electronics and Telecommunication, SNJB’s COE, Chandwad, Maharashtra, India -type of sensors can -improve ----------------------------------------------------------------------***--------------------------------------------------------------------" e8867f819f39c1838bba7d446934258035d4101c,Face recognition performance with superresolution.,"Face recognition performance with superresolution Shuowen Hu,1,* Robert Maschal,1 S. Susan Young,1 Tsai Hong Hong,2 nd P. Jonathon Phillips2 @@ -23223,18 +19744,6 @@ perimental setup consistent with real world settings at multiple subject-to-came that superresolution image reconstruction improves face recognition performance considerably at the examined midrange and close range. OCIS codes:" -e8d1d2a61c5a259440ef9fcd301093b43e87efa1,Periocular Biometrics in the Visible Spectrum,"Periocular Biometrics in the Visible Spectrum -Unsang Park, Member, IEEE, Raghavender Reddy Jillela, Student Member, IEEE, Arun Ross, Senior Member, IEEE, -nd Anil K. Jain, Fellow, IEEE" -e8d2d991dcfb12b287ab06d282a86802e565780c,Inducing Behavior Change in Children with Autism Spectrum Disorders by Monitoring their Attention,"Inducing behavior change in children with autism spectrum disorders by -monitoring their attention -Margarida Lucas da Silva12, Hugo Silva3 and Daniel Gonc¸alves12 -Instituto Superior T´ecnico, Av. Rovisco Pais, 1, 1049-001, Lisboa, Portugal -INESC-ID, R. Alves Redol, 9, 1000-029 Lisboa, Portugal -Instituto de Telecomunicac¸ ˜oes, Instituto Superior T´ecnico, Av. Rovisco Pais, 1, Torre Norte - Piso 10, 1049-001, Lisboa, -Portugal -Keywords: -Human Behavior Analysis, Autism Spectrum Disorders, Inducing Behavior Change." e8ffef3d4d74720e766e506e175e533bdc8ee705,Object Detection Networks on Convolutional Feature Maps,"Object Detection Networks on Convolutional Feature Maps Shaoqing Ren, Kaiming He, Ross Girshick, Xiangyu Zhang, and Jian Sun" @@ -23244,20 +19753,6 @@ Face Recognition using Neural Network nd Eigenvalues with Distinct Block Processing Prashant Sharma, Amil Aneja, Amit Kumar, Dr.Shishir Kumar" -e8baf6ddd2e651350b843fedfe58f761848d3524,Design And Implementation Of Multiposes Face Recognization System Ms .,"Pritika V.Mamankar et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April- 2015, pg. 387-394 -Available Online at www.ijcsmc.com -International Journal of Computer Science and Mobile Computing -A Monthly Journal of Computer Science and Information Technology -IJCSMC, Vol. 4, Issue. 4, April 2015, pg.387 – 394 -RESEARCH ARTICLE -ISSN 2320–088X -Design And Implementation Of Multiposes Face -Recognization System -Ms. Pritika V.Mamankar -Master of Engineering Scholar, Information Technology Department, Sipna College of Engg. and Technology, Amravati, India -Assistant Professor of CSE Department, Computer Science and Engineering Department, Sipna College of Engg. and -Prof. H R. Vyawahare -Technology, Amravati, India" e80635b9b48df5ad263c51ecec62d7d4bd7327fd,"Playful Robot for Research , Therapy , and Entertainment","Int J Soc Robot (2009) 1: 3–18 DOI 10.1007/s12369-008-0009-8 O R I G I N A L PA P E R @@ -23267,17 +19762,6 @@ Hideki Kozima · Marek P. Michalowski · Cocoro Nakagawa Accepted: 28 October 2008 / Published online: 19 November 2008 © Springer 2008" -e849b9b3e65130712e23afb872ac925e1e9a6b73,"Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds","Journal of Machine Learning Research x (2012) xxx -Submitted xx/xx; Published xx/xx -Image denoising with multi-layer perceptrons, part 1: -omparison with existing algorithms and with bounds -Harold Christopher Burger -Christian J. Schuler -Stefan Harmeling -Max Planck Institute for Intelligent Systems -Spemannstr. 38 -72076 T¨ubingen, Germany -Editor:" e81705e6100759b75eb71839ea61abc257b0b6a9,Enhanced Spatial Pyramid Matching Using Log-Polar-Based Image Subdivision and Representation,"Enhanced Spatial Pyramid Matching Using Log-Polar-Based Image Subdivision nd Representation Edmond Zhang, Michael Mayo @@ -23356,14 +19840,6 @@ lines and curves in pictures,” Commun. ACM, vol. 15, no. 1, pp. 11–15, Jan. 1972. [12] F. O’Gorman and M. B. Clowes, “Finding picture edges through collinear- ity of feature points,” IEEE Trans. Comput., vol. C-25, no. 4, pp. 449–454," -e819d8ec94ff9b07f81bcfcf6eb66301aa271805,OPTIMISED BLURRED OBJECT TRACKING USING ANFIS,"VOL. 11, NO. 13, JULY 2016 ISSN 1819-6608 -ARPN Journal of Engineering and Applied Sciences -©2006-2016 Asian Research Publishing Network (ARPN). All rights reserved. -www.arpnjournals.com -OPTIMISED BLURRED OBJECT TRACKING USING ANFIS -Department of Electronics and Communication, Sathyabama University, Chennai, India -S. Rajaprabha and M. Sugadev -E-Mail:" e8e8f40ceff8b71d5dafa6b680d40690dfae940c,title : Guidelines for studying developmental prosopagnosia in adults and children,"Article type: Focus Article Article title: Guidelines for studying developmental prosopagnosia in adults nd children @@ -23387,14 +19863,6 @@ Hartwig Adam George Papandreou Jonathon Shlens Google Inc." -e8d1b134d48eb0928bc999923a4e092537e106f6,Weighted Multi-region Convolutional Neural Network for Action Recognition with Low-latency Online Prediction,"WEIGHTED MULTI-REGION CONVOLUTIONAL NEURAL NETWORK FOR ACTION -RECOGNITION WITH LOW-LATENCY ONLINE PREDICTION -Yunfeng Wang(cid:63), Wengang Zhou(cid:63), Qilin Zhang†, Xiaotian Zhu(cid:63), Houqiang Li(cid:63) -(cid:63)University of Science and Technology of China, Hefei, Anhui, China -HERE Technologies, Chicago, Illinois, USA" -e8e8d8a619eea66c41a1a2bdc0a921a3b6d74836,"Restoring Degraded Face Images: A Case Study in Matching Faxed, Printed, and Scanned Photos","Restoring Degraded Face Images: A Case Study in -Matching Faxed, Printed, and Scanned Photos -Thirimachos Bourlai, Member, IEEE, Arun Ross, Senior Member, IEEE, and Anil K. Jain, Fellow, IEEE" 2a7b7de7488211471a001044a3a249a117af488a,Physical Attribute Prediction Using Deep Residual Neural Networks,"Physical Attribute Prediction Using Deep Residual Neural Networks st Rashidedin Jahandideh @@ -23415,10 +19883,6 @@ Jun-Yang Huang1 Shih-Chung Hsu1and Chung-Lin Huang1,2 . Department Of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan . Department of Applied Informatics and Multimedia, Asia Univeristy, Tai-Chung, Taiwan. Email:" -2ad0ee93d029e790ebb50574f403a09854b65b7e,Acquiring linear subspaces for face recognition under variable lighting,"Acquiring Linear Subspaces for Face -Recognition under Variable Lighting -Kuang-Chih Lee, Student Member, IEEE, Jeffrey Ho, Member, IEEE, and -David Kriegman, Senior Member, IEEE" 2ad2af8e3bdeb0302de07defc3fec9b387414a27,Don ' t Look Back : Post-hoc Category Detection via Sparse Reconstruction,"Don't Look Back: Post-hoc Category Detection via Sparse Reconstruction Hyun Oh Song @@ -23445,26 +19909,6 @@ Interaction and Language (ViGIL), December 2017." Anonymous Author 1 Anonymous Author 2 Anonymous Author 3" -2a6327a8bdbd31e2c08863b96c4f09245db8cab7,Targets ' facial width-to-height ratio biases pain judgments ☆,"Journal of Experimental Social Psychology 74 (2018) 56–64 -Contents lists available at ScienceDirect -Journal of Experimental Social Psychology -journal homepage: www.elsevier.com/locate/jesp -Targets' facial width-to-height ratio biases pain judgments☆ -Jason C. Deska⁎, Kurt Hugenberg -Miami University, 501 East High Street, Oxford, OH 45056, United States -A R T I C L E I N F O -A B S T R A C T -Keywords: -Facial width-to-height ratio -Pain judgments -Pain perception -The accurate perception of others' pain is important for both perceivers and targets. Yet, like other person -perception judgments, pain judgments are prone to biases. Although past work has begun detailing character- -istics of targets that can bias pain judgments (e.g., race, gender), the current work examines a novel source of -ias inherent to all targets: structural characteristics of the human face. Specifically, we present four studies -demonstrating that facial width-to-height ratio, a stable feature of all faces, biases pain judgments. Compared to -those with low facial width-to-height ratio, individuals with high facial width-to-height ratio are perceived as -experiencing less pain in otherwise identical situations (Studies 1, 2, & 3), and as needing less pain medication to" 2a6c7d5aa087233ff8a09bdaa34d5f76f3330a4f,A Survey of Efficient Regression of General-Activity Human Poses from Depth Images,"A Survey of Efficient Regression of General-Activity Hu- man Poses from Depth Images Wenye He @@ -23493,9 +19937,6 @@ Samira Ebrahimi Kahou1, Christopher Pal1, Xavier Bouthillier2, Pierre Froumenty1 Laboratoire d’Informatique des Systèmes Adaptatifs, Université de Montréal, Montréal, Canada {samira.ebrahimi-kahou, christopher.pal, {bouthilx, gulcehrc, memisevr, vincentp, courvila," -2a3227f54286d8a36736663781f194167f2b6582,Nonlinear Dimensionality Reduction for Discriminative Analytics of Multiple Datasets,"Nonlinear Dimensionality Reduction for -Discriminative Analytics of Multiple Datasets -Jia Chen, Gang Wang, Member, IEEE, and Georgios B. Giannakis, Fellow, IEEE" 2a218c17944d72bfdc7f078f0337cab67536e501,Detection bank: an object detection based video representation for multimedia event recognition,"Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition Tim Althoff, Hyun Oh Song, Trevor Darrell @@ -23560,26 +20001,6 @@ Facial Scans Maxim Bazik1 and Daniel Crispell2" 2a067874fc1ec318b6d23f34bdb13ea4e95d5ca6,An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data,"New Orleans, Louisiana, June 1 - 6, 2018. c(cid:13)2018 Association for Computational Linguistics Proceedings of NAACL-HLT 2018, pages 758–763" -2a12c72b0328a23b0d7ea63db1f93abf3054beec,Extended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety,"IEICE TRANS. ??, VOL.Exx–??, NO.xx XXXX 200x -PAPER -Extended Feature Descriptor and Vehicle Motion Model with -Tracking-by-detection for Pedestrian Active Safety -Hirokatsu KATAOKAy;yya), Kimimasa TAMURAy, Nonmembers, Kenji IWATAyyy, Yutaka SATOHyyy, Members, -Yasuhiro MATSUIyyyy, Nonmember, and Yoshimitsu AOKIy, Member -SUMMARY -The percentage of pedestrian deaths in traf‌f‌ic accidents is -on the rise in Japan. In recent years, there have been calls for measures -to be introduced to protect vulnerable road users such as pedestrians and -yclists. In this study, a method to detect and track pedestrians using an -in-vehicle camera is presented. We improve the technology of detecting -pedestrians by using the highly accurate images obtained with a monocular -amera. In the detection step, we employ ECoHOG as the feature descrip- -tor; it accumulates the integrated gradient intensities. In the tracking step, -we apply an effective motion model using optical flow and the proposed -feature descriptor ECoHOG in a tracking-by-detection framework. These -techniques were verified using images captured on real roads. -key words: Pedestrian Active Safety, Tracking-by-detection, ECoHOG, -Particle Filter, Vehicle Motion Model" 2a1d3e1baf323e61da517a054b9571559815a651,Temporal normalization of videos using visual speech,"Temporal Normalization of Videos Using Visual Speech Usman Saeed EURECOM Sophia Antipolis @@ -23616,29 +20037,12 @@ S.S.114 Km 6,400, 98128 Messina, Italy" 2a08147bf88041c6e0354e26762b4e4d65d5163f,Trimmed Event Recognition ( Moments in Time ) : Submission to ActivityNet Challenge 2018,"Trimmed Event Recognition (Moments in Time): Submission to ActivityNet Challenge 2018 Dongyang Cai" -2a40917ef436000b22bc7c6f35400440ef673d36,Learning clustered sub-spaces for sketch-based image retrieval,"Learning Clustered Sub-spaces for Sketch-based Image Retrieval -Koustav Ghosal Ameya Prabhu -Riddhiman Dasgupta -koustav.ghosal∗ -meya.prabhu∗ -riddhiman.dasgupta∗ -Anoop M Namboodiri -noop† -Centre for Visual Information Technology, IIIT-Hyderabad, India" -2ac31bc7a4dd0256166208dcc8d5dfa99347117e,A Window-Based Classifier for Automatic Video-Based Reidentification,"A Window-Based Classifier for Automatic -Video-Based Reidentification -Dario Figueira, Matteo Taiana, Jacinto C. Nascimento, Member, IEEE, and Alexandre Bernardino, Member, IEEE" 2a06341b40b3fd27483b2a8d8cbf86fddf45e423,Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques,"Automatic generation of ground truth for the evaluation of obstacle detection nd tracking techniques Hatem Hajri∗, Emmanuel Doucet∗†, Marc Revilloud∗, Lynda Halit∗, Benoit Lusetti∗, Mohamed-Cherif Rahal∗ Automated Driving Research Team, Institut VEDECOM, Versailles, France InnoCoRe Team, Valeo, Bobigny, France" -2a86bcdfb1d817ddb76ba202319f8267a36c0f62,PCL: Proposal Cluster Learning for Weakly Supervised Object Detection,"JOURNAL OF LATEX CLASS FILES -PCL: Proposal Cluster Learning for Weakly -Supervised Object Detection -Peng Tang, Xinggang Wang, Member, IEEE, Song Bai, Wei Shen, Xiang Bai, Senior Member, IEEE, -Wenyu Liu, Senior Member, IEEE, and Alan Yuille, Fellow, IEEE" 2a1deffc67ccb5f8ca5897ac3f31dac09af70f05,Robust Subspace Clustering via Tighter Rank Approximation,"Robust Subspace Clustering via Tighter Rank Approximation Zhao Kang @@ -23681,12 +20085,6 @@ Localization And Mapping: Towards the Robust-Perception Age Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, Jos´e Neira, Ian Reid, John J. Leonard" -2ade545f25f5ba66295aeab3a89583e7cf6101b3,A Dataset for Airborne Maritime Surveillance Environments,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2017.2775524, IEEE -Transactions on Circuits and Systems for Video Technology -A Dataset for Airborne Maritime Surveillance -Environments -Ricardo Ribeiro, Member, IEEE, Gonc¸alo Cruz, Jorge Matos, Student, IST, -nd Alexandre Bernardino, Member, IEEE," 2a5efa83ea5c4733757b838b84ba6519f873b826,A Continuous Learning for Solving a Face Recognition Problem,"International Journal of Computer Information Systems and Industrial Management Applications. ISSN 2150-7988 Volume 4 (2012) pp. 570-577 © MIR Labs, www.mirlabs.net/ijcisim/index.html @@ -23717,26 +20115,6 @@ Audience Attention Towards Pervasive Displays Florian Alta, Andreas Bullingb, Lukas Meckea, Daniel Buscheka LMU Munich Munich, Germany" -ceb4040acf7f27b4ca55da61651a14e3a1ef26a8,Angry Crowds: Detecting Violent Events in Videos,"Angry Crowds: -Detecting Violent Events in Videos -Sadegh Mohammadi1, Alessandro Perina1,2, Hamed Kiani1, Vittorio Murino1,3 -Pattern Analysis and Computer Vision (PAVIS), -Istituto Italiano di Tecnologia, Genova, Italy -Microsoft Corp, -WDG Core Data Science, Redmond -Dept. of Computer Science, -University of Verona, Italy -As supplementary material, we selected a few testing video clips from Vio- -lence in crowds (VIC) [1] dataset to illustrate the effectiveness of the proposed -Aggression Force compared to the Interaction Force (SFM) [2] and Optical Flow -for the task of violent detection in video sequences. The scenarios depicted in -the attached video are captured under very challenging situations including low -image quality, cluttered background, densely crowded scenes, camera motion, -occlusions, large scale/illumination variations. -The qualitative results in video format can be seen in ”video.avi”, highlight- -ing two major advantages of Aggression Force compared to Social Force and -Optical Flowing. -Firstly, the SFM and Optical Flow are very sensitive to footages captured" cef6cffd7ad15e7fa5632269ef154d32eaf057af,Emotion Detection Through Facial Feature Recognition,"Emotion Detection Through Facial Feature Recognition James Pao @@ -23872,10 +20250,6 @@ Department of Computer Science [1], Department of Science [2], Department of Ele OPEN ACCESS Mahatma Gandhi University Kerala - India" -ce85d953086294d989c09ae5c41af795d098d5b2,Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. -Bilinear Analysis for Kernel Selection and -Nonlinear Feature Extraction -Shu Yang, Shuicheng Yan, Member, IEEE, Chao Zhang, and Xiaoou Tang, Senior Member, IEEE" ce13aaf9ab0d3ec3dd9637b2dd5122b4aa711fd7,Local Feature-based Person Re-Identification in Video,"UNIVERSITÄT KARLSRUHE (TH) FAKULTÄT FÜR INFORMATIK INSTITUT FÜR ANTHROPOMATIK @@ -23979,34 +20353,12 @@ Youtube-8M Video Understanding Fu Li, Chuang Gan, Xiao Liu, Yunlong Bian, Xiang Long, Yandong Li, Zhichao Li, Jie Zhou, Shilei Wen Baidu IDL & Tsinghua University" cefd107b19201cd9f403e2f9332c690e81f770b5,A Survey on Databases for Facial Expression Analysis, -ceb02a8f874c84ece88fcc7be1530a581b1cd1b0,A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter Environment,"A Novel Geometry-based Algorithm for Robust Grasping in Extreme Clutter -Environment -Olyvia Kundua, Swagat Kumara,∗ -TATA Consultancy Services, Bangalore, India 560066" -ce54dd2b0c6c75208ac77420233419066dd0117f,ISSN 2348-375 X EAR SEGMENTATION USING DIFFERENTIAL BOX COUNTING APPROACH,"Geetha et al. UJEAS 2014, 02 (01): Page 77-78 -ISSN 2348-375X -Unique Journal of Engineering and Advanced Sciences -Available online: www.ujconline.net -Research Article -EAR SEGMENTATION USING DIFFERENTIAL BOX COUNTING APPROACH -Geetha Prem P1*, Manikandaprabu N2, Dhivya P3, Deepa A4 -PG Scholar, AVS Engineering College, TN, India -Lecturer, Senthur Polytechnic College, TN, India -Asso. Prof/ECE, AVS Engineering College, Salem -ME (Communication Systems), Sona College of Technology, Salem -Received: 28-12-2013; Revised: 24-01-2014; Accepted: 20-02-2014 -*Corresponding Author: P. Prem Geetha, PG Scholar, AVS Engineering College, TN, India Email:" ced61099a0306d555486162670f1213f2c72b020,Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters,"Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters Wenhao Ding, Wenshuo Wang, and Ding Zhao" ceedb191328ac4d968853b948a32b5689c2ac2a2,Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 41, NO. 3, JUNE 2011 Semisupervised Dimensionality Reduction and Classification Through Virtual Label Regression Feiping Nie, Dong Xu, Xuelong Li, Senior Member, IEEE, and Shiming Xiang" -ce9a61bcba6decba72f91497085807bface02daf,Eigen-harmonics faces: face recognition under generic lighting,"Eigen-Harmonics Faces: Face Recognition under Generic Lighting -Laiyun Qing1,2, Shiguang Shan2, Wen Gao1,2 -Graduate School, CAS, Beijing, China, 100080 -ICT-ISVISION Joint R&D Laboratory for Face Recognition, CAS, Beijing, China, 100080 -Emails: {lyqing, sgshan, wgao}jdl.ac.cn" cebfafea92ed51b74a8d27c730efdacd65572c40,Matching 2.5D face scans to 3D models,"JANUARY 2006 Matching 2.5D Face Scans to 3D Models Xiaoguang Lu, Student Member, IEEE, Anil K. Jain, Fellow, IEEE, and @@ -24019,14 +20371,6 @@ Review on Computer Vision Techniques in Emergency Situations Laura Lopez-Fuentes · Joost van de Weijer · Manuel Gonz´alez-Hidalgo · Harald Skinnemoen · Andrew D. Bagdanov Received: date / Accepted: date" -fcc76b1762dbeb49cbfa30ca66bd405e015ca331,Training-Free Synthesized Face Sketch Recognition Using Image Quality Assessment Metrics,"Training-Free Synthesized Face Sketch Recognition -Using Image Quality Assessment Metrics -Nannan Wang, Member, IEEE, Jie Li, Leiyu Sun, Bin Song, and Xinbo Gao, Senior Member, IEEE" -fc6256156fbfdb21221c0aed2719f2b420e9d3b4,Pattern Recognition with Localized Gabor Wavelet Grids,"Pattern Recognition with Localized Gabor Wavelet Grids -Vinay Kumar B -Subex Azure Limited, Bangalore, India -Sai Sharan D R -Accenture, Bangalore, India" fc1e37fb16006b62848def92a51434fc74a2431a,A Comprehensive Analysis of Deep Regression,"DRAFT A Comprehensive Analysis of Deep Regression St´ephane Lathuili`ere, Pablo Mesejo, Xavier Alameda-Pineda, Member IEEE, and Radu Horaud" @@ -24066,26 +20410,6 @@ y Ef‌f‌icient Graph Partitioning Ratnesh Kumar, Guillaume Charpiat, Monique Thonnat STARS Team, INRIA, Sophia Antipolis, France" fcb64ef4421cebb80eb33f62c7726f339eb2bb62,Deep View-Aware Metric Learning for Person Re-Identification,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18) -fc64f43cdcf4898b15ddce8b441d2ab9daa324f0,GABOR FILTER-BASED FACE RECOGNITION TECHNIQUE,"THE PUBLISHING HOUSE -OF THE ROMANIAN ACADEMY -PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, -Volume 11, Number 3/2010, pp. 277–283 -GABOR FILTER-BASED FACE RECOGNITION TECHNIQUE -Tudor BARBU -Institute of Computer Science, Romanian Academy, Iaşi, Romania -E-mail: -We propose a novel human face recognition approach in this paper, based on two-dimensional Gabor -filtering and supervised classification. The feature extraction technique proposed in this article uses -D Gabor filter banks and produces robust 3D face feature vectors. A supervised classifier, using -minimum average distances, is developed for these vectors. The recognition process is completed by a -threshold-based face verification method, also provided. A high facial recognition rate is obtained -using our technique. Some experiments, whose satisfactory results prove the effectiveness of this -recognition approach, are also described in the paper. -Key words: Face recognition; Face identification; Feature vector; 2D Gabor filter; Supervised classification; -Face verification. -. INTRODUCTION -This article approaches an important biometric domain, which is human face recognition. Face -represents a physiological biometric identifier that is widely used in person recognition. During the past" fc068f7f8a3b2921ec4f3246e9b6c6015165df9a,Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline),"Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline) Yifan Sun†, Liang Zheng‡, Yi Yang‡, Qi Tian§, Shengjin Wang†∗ @@ -24173,10 +20497,6 @@ Charmin Asirimath, Jayampathy Ratnayake, and Chathuranga Weeraddana" fcc6fd9b243474cd96d5a7f4a974f0ef85e7ddf7,InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity,"Improving Face Attribute Detection with Race and Gender Diversity InclusiveFaceNet: Hee Jung Ryu 1 Hartwig Adam * 1 Margaret Mitchell * 1" -fca6df7d36f449d48a8d1e48a78c860d52e3baf8,Fine-Grained Age Estimation in the wild with Attention LSTM Networks,"Fine-Grained Age Estimation in the wild with -Attention LSTM Networks -Ke Zhang, Member, IEEE, Na Liu, Xingfang Yuan, Student Member, IEEE, Xinyao Guo, Ce Gao, -nd Zhenbing Zhao Member, IEEE," fc5fb5d0fb7c654e8fda140e5bc53f4f422a5d6e,Computationally Efficient Invariant Facial Expression Recognition,"Research Journal of Recent Sciences _________________________________________________ ISSN 2277-2502 Vol. 3(2), 61-68, February (2014) Res.J.Recent Sci. @@ -24321,11 +20641,6 @@ Received: 11.01.2013 Accepted/Published Online: 09.11.2013 (cid:15) Final Version: 01.01.2016" -904b96d0691c62cacd1d9456e623ab24901763a0,Facade Segmentation in the Wild,"Facade Segmentation in the Wild -John Femiani1 Wamiq Reyaz Para2 Niloy Mitra3 -Peter Wonka2 -Miami University1 -KAUST2" 90443ec362dc553f29fbf824b4d13fd7f26f2a32,A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval,"A Vote-and-Verify Strategy for Fast Spatial Verification in Image Retrieval Johannes L. Sch¨onberger1(cid:63), True Price2(cid:63), Torsten Sattler1(cid:63), @@ -24426,10 +20741,6 @@ Mauricio Villegas and Roberto Paredes Institut Tecnol`ogic d’Inform`atica Universitat Polit`ecnica de Val`encia Cam´ı de Vera s/n, 46022 Val`encia (Spain)" -90863022d8593a70e574816e6a43f1fdab842e27,Two Dimensional Stochastic Configuration Networks for Image Data Analytics,"SUBMITTED TO IEEE TRANSACTIONS ON CYBERNETICS -Two Dimensional Stochastic Configuration -Networks for Image Data Analytics -Ming Li, Member, IEEE, Dianhui Wang*, Senior Member, IEEE" 9070045c1a9564a5f25b42f3facc7edf4c302483,Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker,"Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker Laura Leal-Taix´e, Gerard Pons-Moll and Bodo Rosenhahn @@ -24449,24 +20760,6 @@ Kittikhun Meethongjan Department of Computer Graphic, Faculty of Computer Science & Information System, University Technology of Malaysia, 81310 Skudai, Johor, Malaysia. +60127204314" -902114feaf33deac209225c210bbdecbd9ef33b1,Side-Information based Linear Discriminant Analysis for Face Recognition,"KAN et al.: SIDE-INFORMATION BASED LDA FOR FACE RECOGNITION -Side-Information based Linear -Discriminant Analysis for Face -Recognition -Meina Kan1,2,3 -Shiguang Shan1,2 -Dong Xu3 -Xilin Chen1,2 -Digital Media Research Center, -Institute of Computing -Technology, CAS, Beijing, China -Key Laboratory of Intelligent -Information Processing, Chinese -Academy of Sciences, Beijing, -China -School of Computer Engineering, -Nanyang Technological -University, Singapore" 902d1b14b076120cb21029b51ed8e63529fe686d,PERFORMANCE ANALYSIS FOR FACIAL EXPRESSION RECOGNITION UNDER SALT AND PEPPER NOISE WITH MEDIAN FILTER APPROACH,"PERFORMANCE ANALYSIS FOR FACIAL EXPRESSION RECOGNITION UNDER SALT AND PEPPER NOISE WITH MEDIAN FILTER APPROACH @@ -24490,30 +20783,6 @@ Anonymous Author 3" Performance and Energy Modeling of Heterogeneous Many-core Architectures Rui Pedro Gaspar Pinheiro" -903a8db7bac7a2826cd98ae5425d839852274f7d,Like at First Sight: Understanding User Engagement with the World of Microvideos,"Like at First Sight: Understanding User -Engagement with the World of Microvideos -Sagar Joglekar1(B), Nishanth Sastry1, and Miriam Redi2 -Kings College, London, UK -Bell Labs, Cambridge, UK" -90d735cffd84e8f2ae4d0c9493590f3a7d99daf1,Recognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying Environment,"Original Research Paper -American Journal of Engineering and Applied Sciences -Recognition of Faces using Efficient Multiscale Local Binary -Pattern and Kernel Discriminant Analysis in Varying -Environment -Sujata G. Bhele and -V.H. Mankar -Department of Electronics Engg, Priyadarshini College of Engg, Nagpur, India -Department of Electronics Engg, Government Polytechnic, Nagpur, India -Article history -Received: 20-06-2017 -Revised: 18-07-2017 -Accepted: 21-08-2017 -Corresponding Author: -Sujata G. Bhele -Department of Electronics -Engg, Priyadarshini College of -Engg, Nagpur, India -Email:" 90e36f66c25a4c73a252102c6c6c329c36d82676,Probably Unknown: Deep Inverse Sensor Modelling In Radar,"Probably Unknown: Deep Inverse Sensor Modelling Radar Rob Weston, Sarah Cen, Paul Newman and Ingmar Posner" 9040fa6a62f6c185473f4043846de3aa7920624b,THERMAL IMAGING AS A BIOMETRICS APPROACH TO FACIAL SIGNATURE AUTHENTICATION 1,"October 2015, Volume 2, Issue 10 @@ -24541,13 +20810,6 @@ Problem using Total Variation Yvain Qu´eau1, Fran¸cois Lauze2, and Jean-Denis Durou1 IRIT, UMR CNRS 5505, Toulouse, France Dept. of Computer Science, Univ. of Copenhagen, Denmark" -90bc77c8eb4cc28520b3fda4f492276602869019,StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection,"StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection -Sanghyun Woo -KAIST -Soonmin Hwang -KAIST -In So Kweon -KAIST" 90c80317fa68784a3fe4fc3136bb188895b09fa4,Sparsity Invariant CNNs,"Sparsity Invariant CNNs Jonas Uhrig(cid:63),1,2 Nick Schneider(cid:63),1,3 Lukas Schneider1,4 @@ -24585,10 +20847,6 @@ discuss multiple approaches we implemented to do the same. Background and Related work:" 361367838ee5d9d5c9a77c69c1c56b1c309ab236,Salient Object Detection: A Survey,"Salient Object Detection: A Survey Ali Borji, Ming–Ming Cheng, Huaizu Jiang and Jia Li" -36cf96fe11a2c1ea4d999a7f86ffef6eea7b5958,RGB-D Face Recognition With Texture and Attribute Features,"RGB-D Face Recognition with Texture and -Attribute Features -Gaurav Goswami, Student Member, IEEE, Mayank Vatsa, Senior Member, IEEE, and Richa Singh, Senior -Member, IEEE" 363913a335053c837d5fc279032d28c418dda1dc,ECE 533 – Image Processing Project Face Recognition Techniques,"ECE533 – Image Processing Project Face Recognition Techniques @@ -24788,10 +21046,6 @@ Computer Vision Group Friedrich Schiller University Jena Germany www.inf-cv.uni-jena.de" -36c91b1342c1357877e89b4c43f8eadb39755c0b,Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses,"Recognizing Human-Object Interactions in -Still Images by Modeling the Mutual Context -of Objects and Human Poses -Bangpeng Yao, Member, IEEE, and Li Fei-Fei, Member, IEEE" 362cfe79a6822f9e317555c5e3469dd038b9053f,Damped Gauss-Newton algorithm for nonnegative Tucker decomposition,"978-1-4577-0568-7/11/$26.00 ©2011 IEEE DY, An , G (cid:2) (cid:12)Y  G  A (cid:12)2 DECOMPOSITION @@ -24887,9 +21141,6 @@ Albert-Ludwigs-Universität Freiburg Department of Computer Science Computer Vision Group Supervisor: Prof. Dr. Thomas Brox" -360a590703542f2ba345b432416398b6dad9e3fb,Multimodal Person Reidentification Using RGB-D Cameras,"Multi-modal Person Re-Identification -Using RGB-D Cameras -Federico Pala, Member, IEEE, Riccardo Satta, Giorgio Fumera, Member, IEEE, and Fabio Roli, Fellow, IEEE" 36688a79cc8926f489ccb6e6dadba15afbb4b6a4,Linear discriminant analysis for the small sample size problem: an overview,"Int. J. Mach. Learn. & Cyber. DOI 10.1007/s13042-013-0226-9 O R I G I N A L A R T I C L E @@ -24952,14 +21203,6 @@ http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-53.html May 1, 2012" 36918b2ef6b20ffb8cffe458c0067742500c6149,"""Look, some Green Circles!"": Learning to Quantify from Images","Proceedings of the 5th Workshop on Vision and Language, pages 75–79, Berlin, Germany, August 12 2016. c(cid:13)2016 Association for Computational Linguistics" -36b27f74b9a7fe12cf6593cc8b73e764efce7dda,A Face ’ s Parent / Offspring Determination using Geometric Features and PCA : A Novel Approach,"A Face’s Parent/Offspring Determination -using Geometric Features and PCA: -A Novel Approach -C. N. Ravi Kumar -Anil Kumar -Pramod G -Dept. of CSE, SJCE -Mysore, Karnataka, India" 36119c10f75094e0568cae8256400c94546d973b,The CASIA NIR-VIS 2.0 Face Database,"The CASIA NIR-VIS 2.0 Face Database Stan Z. Li, Dong Yi, Zhen Lei and Shengcai Liao Center for Biometrics and Security Research & National Laboratory of Pattern Recognition @@ -25054,12 +21297,6 @@ Carmel Sofer1,2, Ron Dotsch2,3, Daniel H. J. Wigboldus2, and Alexander Todorov1,2 Department of Psychology, Princeton University; 2Behavioural Science Institute, Radboud University Nijmegen; and 3Department of Psychology, Utrecht University" -73764fa9bed84ad2c932dc8089ace7fa8fa7c1d3,"Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo","Disparity Statistics for Pedestrian Detection: -Combining Appearance, Motion and Stereo -Stefan Walk1, Konrad Schindler1,2, and Bernt Schiele1,3 -Computer Science Department, TU Darmstadt -Photogrammetry and Remote Sensing Group, ETH Z¨urich -MPI Informatics, Saarbr¨ucken" 73bbbfac7b144f835840fe7f7b5139283bf4f3f1,Do we spontaneously form stable trustworthiness impressions from facial appearance?,"ATTITUDES AND SOCIAL COGNITION Do We Spontaneously Form Stable Trustworthiness Impressions From Facial Appearance? @@ -25086,11 +21323,6 @@ Transductive Zero-Shot Action Recognition by Word-Vector Embedding Xun Xu · Timothy Hospedales · Shaogang Gong Received: date / Accepted: date" -7323b594d3a8508f809e276aa2d224c4e7ec5a80,An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 -An Experimental Evaluation of Covariates -Effects on Unconstrained Face Verification -Boyu Lu, Student Member, IEEE, Jun-Cheng Chen, Member, IEEE, Carlos D Castillo, Member, IEEE -nd Rama Chellappa, Fellow, IEEE" 73be334ecc48751269443b0db2629086125e69f5,Robust Face Recognition under Difficult Lighting Conditions,"International Journal of Technological Exploration and Learning (IJTEL) Volume 1 Issue 1 (August 2012) Robust Face Recognition under Difficult Lighting @@ -25176,26 +21408,6 @@ Link to published version http://dicta2010.conference.nicta.com.au/ Griffith Research Online https://research-repository.griffith.edu.au" -735c38361d77e707ac48f0d040493c65ca559d3c,Machine Learning for Simplifying the Use of Cardiac Image Databases. (Apprentissage automatique pour simplifier l'utilisation de banques d'images cardiaques),"N°: 2009 ENAM XXXX -École doctorale n° 84 : -Sciences et technologies de l’information et de la communication -Doctorat ParisTech -T H È S E -pour obtenir le grade de docteur délivré par -l’École nationale supérieure des mines de Paris -Spécialité “ Contrôle, optimisation et prospective ” -présentée et soutenue publiquement par -Ján MARGETA -le 14 Décembre 2015 -Apprentissage automatique pour simplifier -l’utilisation de banques d’images cardiaques -Machine Learning for Simplifying -the Use of Cardiac Image Databases -Directeurs de thèse : Nicholas AYACHE et Antonio CRIMINISI -M. Patrick CLARYSSE, DR, Creatis, CNRS, INSA Lyon -M. Bjoern MENZE, Professeur, ImageBioComp Group, TU München -M. Hervé DELINGETTE, DR, Asclepios Research Project, Inria Sophia Antipolis -M. Antonio CRIMINISI, Chercheur principal, MLP Group, Microsoft Research Cambridge" 73c9cbbf3f9cea1bc7dce98fce429bf0616a1a8c,Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings,"imagesViewpoint factorizationLearned landmarksFigure1.Wepresentanovelmethodthatcanlearnviewpointin-variantlandmarkswithoutanysupervision.Themethodusesaprocessofviewpointfactorizationwhichlearnsadeeplandmarkdetectorcompatiblewithimagedeformations.Itcanbeappliedtorigidanddeformableobjectsandobjectcategories.terns.Achievingadeeperunderstandingofobjectsrequiresmodelingtheirintrinsicviewpoint-independentstructure.Oftenthisstructureisdefinedmanuallybyspecifyingen-titiessuchaslandmarks,parts,andskeletons.Givensuffi-cientmanualannotations,itispossibletoteachdeepneuralnetworksandothermodelstorecognizesuchstructuresinimages.However,theproblemoflearningsuchstructureswithoutmanualsupervisionremainslargelyopen.Inthispaper,wecontributeanewapproachtolearnviewpoint-independentrepresentationsofobjectsfromim-ageswithoutmanualsupervision(fig.1).Weformulatethistaskasafactorizationproblem,wheretheeffectsofimagedeformations,forexamplearisingfromaviewpointchange,areexplainedbythemotionofareferenceframeattachedtotheobjectandindependentoftheviewpoint.Afterdescribingthegeneralprinciple(sec.3.1),wein-1" 73866bdb723841da93b6ad93afe3d72817e2b377,Dense and Low-Rank Gaussian CRFs Using Deep Embeddings,"Dense and Low-Rank Gaussian CRFs Using Deep Embeddings Siddhartha Chandra1 @@ -25240,49 +21452,7 @@ utism spectrum disorders (ASD) and their first-degree relatives: a family study Olga V. Sysoeva1,2, John N. Constantino1* nd Andrey P. Anokhin1" -735be89c989ab7819e2f640960a8895e79913e21,A Video-Based Door Monitoring System Using Local Appearance-Based Face Models,"International Journal for Research in Applied Science & Engineering Technology (IJRASET) -ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor:6.887 -Volume 5 Issue X, October 2017- Available at www.ijraset.com -A Video-Based Door Monitoring System Using -Local Appearance-Based Face Models -P.G. Student, Department of Electronics & Telecommunications, Zeal College Of Engineering,Pune,Maharashtra,India -Assistant Professor, Department of Electronics & Telecommunications, Zeal College Of Engineering, Pune ,India -Tejaswita Wakhure1, Prof.P.A.More2" -73fa81d2b01c81c6ede71d046f9101440884e604,Fuzzy Based Texton Binary Shape Matrix ( FTBSM ) for Texture Classification,"Global Journal of Computer Science and Technology -Graphics & Vision -Volume 12 Issue 15 Version 1.0 Year 2012 -Type: Double Blind Peer Reviewed International Research Journal -Publisher: Global Journals Inc. (USA) -Online ISSN: 0975-4172 & Print ISSN: 0975-4350 -Fuzzy Based Texton Binary Shape Matrix (FTBSM) for Texture -Classification -By P.Chandra Sekhar Reddy & B.Eswara Reddy -Jntua College of Engineering, Anantapur, A.P, India" 3e08d000ba3dd382c16e4295435ef8264235ccbc,Multiple People Tracking in Smart Camera Networks by Greedy Joint-Likelihood Maximization, -3e00dd86c084d8680409c65c1a48f1b3aa864eb7,Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks,"Deep Crisp Boundaries: -From Boundaries to Higher-level Tasks -Yupei Wang, Student Member, IEEE, Xin Zhao, Member, IEEE, Yin Li, Member, IEEE, -nd Kaiqi Huang, Senior Member, IEEE" -3e4b38b0574e740dcbd8f8c5dfe05dbfb2a92c07,Facial Expression Recognition with Local Binary Patterns and Linear Programming 1,"FACIAL EXPRESSION RECOGNITION WITH LOCAL BINARY PATTERNS -AND LINEAR PROGRAMMING -Xiaoyi Feng1, 2, Matti Pietikäinen1, Abdenour Hadid1 -Machine Vision Group, Infotech Oulu and Dept. of Electrical and Information Engineering -P. O. Box 4500 Fin-90014 University of Oulu, Finland -2 College of Electronics and Information, Northwestern Polytechnic University -710072 Xi’an, China -In this work, we propose a novel approach to recognize facial expressions from static -images. First, the Local Binary Patterns (LBP) are used to efficiently represent the facial -images and then the Linear Programming (LP) technique is adopted to classify the seven -facial expressions anger, disgust, fear, happiness, sadness, surprise and neutral. -Experimental results demonstrate an average recognition accuracy of 93.8% on the JAFFE -database, which outperforms the rates of all other reported methods on the same database. -Introduction -Facial expression recognition from static -images is a more challenging problem -than from image sequences because less -information for expression actions -vailable. However, information in a -single image is sometimes enough for" 3ed186b4337f48e263ef60acffb49f16d5a85511,Discriminatively learned filter bank for acoustic features,"978-1-4799-9988-0/16/$31.00 ©2016 IEEE ICASSP 2016" 3e2588aaa719c63e48fe599a7f0dbea10a41b4eb,Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge,"Using sparse semantic embeddings learned from multimodal text and @@ -25300,12 +21470,6 @@ David Hall1,2, Feras Dayoub1,2, John Skinner1,2, Peter Corke1,2, Gustavo Carneir Australian Centre for Robotic Vision Queensland University of Technology (QUT), 3University of Adelaide {d20.hall, feras.dayoub, j6.skinner, peter.corke," -3e6fa6cf1fe2e23fdf7716f89b160333c7a93b26,A Performance Evaluation of Single and Multi-feature People Detection,"A Performance Evaluation of Single and -Multi-Feature People Detection -Christian Wojek, Bernt Schiele -{wojek, -Computer Science Department -TU Darmstadt" 3ec0d2c66ba2f00d90470c03969372e610986833,EEG Data of Face Recognition in Case of Biological Compatible Changes: A Pilot Study on Healthy People, 3ede3ed28329bf48fbd06438a69c4f855bef003f,Large-scale geo-facial image analysis,"Islam et al. EURASIP Journal on Image and Video Processing (2015) 2015:17 DOI 10.1186/s13640-015-0070-9 @@ -25322,15 +21486,6 @@ der Technischen Universit¨at Dortmund n der Fakult¨at f¨ur Informatik Fabian Naße Dortmund" -3e51988542ced911184bce400a2a4af0b044396b,Face recognition system based on principal components analysis and distance measures,"International Journal of Engineering & Technology, 7 (2.21) (2018) 15-19 -International Journal of Engineering & Technology -Website: www.sciencepubco.com/index.php/IJET -Research paper -Face recognition system based on principal components analysis -nd distance measures -T. Meenpal *, Aarti Goyal, Ankita Meenpal -Department of Electronics and Telecommunication, National Institute of Technology, Raipur, Chhattisgarh, India -*Corresponding author E-mail:" 3e67058c6ddd0afae692b7665f82124945ea2c5a,On the Learning of Deep Local Features for Robust Face Spoofing Detection,"On the Learning of Deep Local Features for Robust Face Spoofing Detection Gustavo Botelho de Souza1, Jo˜ao Paulo Papa2 and Aparecido Nilceu Marana2 - in Proc. of SIBGRAPI 2018 @@ -25372,10 +21527,6 @@ Zihang Meng1, Nagesh Adluru1, Hyunwoo J. Kim1⋆, Glenn Fung2, and Vikas Singh1 University of Wisconsin – Madison American Family Insurance" -3e73e1e6530c17244a1bb4e4fa071b4a86757a47,Shape Classification Based on Skeletons,"Shape Classification Based on Skeletons -Xiang Bai , Xingwei Yang , Deguang Yu and Longin Jan Latecki2 -) HuaZhong University of Science and Technology, Wuhan, China -) Temple University, Philadelphia, USA" 3e4f84ce00027723bdfdb21156c9003168bc1c80,A co-training approach to automatic face recognition,"© EURASIP, 2011 - ISSN 2076-1465 9th European Signal Processing Conference (EUSIPCO 2011) INTRODUCTION" @@ -25475,17 +21626,6 @@ y 14 sur. Puebla, Pue. C.P. 72570, México" 3edf3a996790fef8957e21c68ddf48b52238e662,Product of tracking experts for visual tracking of surgical tools,"Product of Tracking Experts for Visual Tracking of Surgical Tools Suren Kumar, Madusudanan Sathia Narayanan, Pankaj Singhal, Jason J. Corso and Venkat Krovi State University of New York (SUNY) at Buffalo" -3e159084e12ece3664a17bf4dd0eed8c5f06a33f,Deep Neural Networks with Inexact Matching for Person Re-Identification,"Deep Neural Networks with Inexact Matching for -Person Re-Identification -Arulkumar Subramaniam -Indian Institute of Technology Madras -Chennai, India 600036 -Moitreya Chatterjee -Indian Institute of Technology Madras -Chennai, India 600036 -Anurag Mittal -Indian Institute of Technology Madras -Chennai, India 600036" 3e4a54adb53d69984bb1e113eb1a8184be4abe99,Person Authentication from Video of Faces: A Behavioral and Physiological Approach Using Pseudo Hierarchical Hidden Markov Models,"Person Authentication from Video of Faces: A Behavioral and Physiological Approach Using Pseudo Hierarchical Hidden Markov Models @@ -25524,13 +21664,6 @@ Department of Technology College of Engineering and Technology Virginia State University" -3ee425f59da3c8cb42bbfbc2c80122b767eece5e,A NOVEL APPROACH FOR LEARNED REPRESENTATION ON ROBUST FACE RECOGNITION,"© May 2018 | IJIRT | Volume 4 Issue 12 | ISSN: 2349-6002 -A NOVEL APPROACH FOR LEARNED -REPRESENTATION ON ROBUST FACE RECOGNITION -Sk.Sharmila 1, Lakshma Nayak.M 2 -Pursuing M.Tech (CE&SP), Dept. of ECE, Loyola Institute of Technology and management, India -Assistant Professor, Dept. of ECE, Loyola Institute of Technology, India -techniques" 3e4acf3f2d112fc6516abcdddbe9e17d839f5d9b,Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs,"Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs Michael Gygli 1 * Mohammad Norouzi 2 Anelia Angelova 2" @@ -25597,12 +21730,6 @@ Dilip K. Prasad1,∗, Deepu Rajan2, Lily Rachmawati3, Eshan Rajabally4, and Chai 3e56a9b6c6aced2cb14f9cd7f89d145851c44113,Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning,"Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, and Ji-Rong Wen" -3eebe8a5adaa49e54ea909b4e2aeb436025c84d5,3 D Face Recognition Using Radon Transform and Symbolic Factorial Discriminant Analysis,"Proc. of Int. Conf. onMultimedia Processing, Communication and Info. Tech., MPCIT -D Face Recognition Using Radon Transform and -Symbolic Factorial Discriminant Analysis -P. S. Hiremath, Manjunath Hiremath -Department of Computer Science Gulbarga University, Gulbarga 585106 Karnataka, India -Email:" 08ff3e9f5ad47e59592ad993348b817003b9c0e4,A Sequential Classifier for Hand Detection in the Framework of Egocentric Vision,"A Sequential Classifier for Hand Detection in the Framework of Egocentric Vision Alejandro Betancourt1,2 Miriam M. L´opez1 @@ -25673,25 +21800,6 @@ Ismail Ben Ayed ÉTS Montreal" 08030f9d34cc96384f672d9f9f296914d594335b,Multiple Object Tracking: A Review,"Multiple Object Tracking: A Literature Review Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang, Wei Liu, Xiaowei Zhao and Tae-Kyun Kim" -08ecc281cdf954e405524287ee5920e7c4fb597e,Computational Assessment of Facial Expression Production in ASD Children,"Article -Computational Assessment of Facial Expression -Production in ASD Children -, Pierluigi Carcagnì 1, Cosimo Distante 1, Paolo Spagnolo 1, Pier Luigi Mazzeo 1, -, Chiara Pellegrino 4, Annalisa Levante 5 -Marco Leo 1,* -Anna Chiara Rosato 2 , Serena Petrocchi 3 -Filomena De Lumè 5 and Flavia Lecciso 5 -Institute of Applied Sciences and Intelligent Systems, National Research Council of Italy, via Monteroni, -73100 Lecce, Italy; (P.C.); (C.D.); (P.S.); -(P.L.M.) -Amici di Nico Onlus, Via Campania, 6, 73046 Lecce, Italy; -USI, Institute of Communication and Health, Via Buffi 6, 6900 Lugano, Switzerland; -5 Dipartimento di Storia, University of Salento, Società e Studi Sull’ Uomo, -L’ Adelfia Onlus, via S. Sangiovanni, 115-73031 Lecce, Italy; -Studium 2000-Edificio 5-Via di Valesio, 73100 Lecce, Italy; (A.L.); -(F.D.L.); (F.L.) -* Correspondence: -Received: 4 October 2018; Accepted: 14 November 2018; Published: 16 November 2018" 0861f86fb65aa915fbfbe918b28aabf31ffba364,An Efficient Facial Annotation with Machine Learning Approach,"International Journal of Computer Trends and Technology (IJCTT) – volume 22 Number 3–April 2015 An Efficient Facial Annotation with Machine Learning Approach A.Anusha,2R.Srinivas @@ -25844,14 +21952,6 @@ Cheng Chen Jean-Marc Odobez Idiap Research Institute – CH-1920, Martigny, Switzerland (cid:3)" -08ca2a2a543ee74e2bd6585e0a059b30aae65d30,Semantic Video Segmentation with Using Ensemble of Particular Classifiers and a Deep Neural Network for Systems of Detecting Abnormal Situations,"IT in Industry, vol. 6, 2018 Published online 09-Feb-2018 -Semantic Video Segmentation with Using Ensemble -of Particular Classifiers and a Deep Neural Network -for Systems of Detecting Abnormal Situations -O. Amosov, Y. Ivanov, S. Zhiganov -Department of Industrial Electronics -Komsomolsk-on-Amur State Technical University -Komsomolsk-on-Amur, Russia" 089ad31ad5eef41bd179bb0a142d3386a8de5564,Continuous memories for representing sets of vectors and image collections. (Mémoires continues représentant des ensembles de vecteurs et des collections d'images),"Continuous memories for representing sets of vectors nd image collections Ahmet Iscen @@ -25999,10 +22099,6 @@ Petr´opolis, RJ 25651-075 Email: S˜ao Bernardo do Campo, SP 09850-901 Email:" -08d625158727bd97ba6fc58992158ee55a53011c,HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search,"HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest -Neighbor Search -{artheru, yz sjr, Shanghai Jiaotong University -Liu Shicong, Shao Junru, Lu Hongtao" 08bbb59036c4b85a2418f9702ccd37929c5dd154,Understanding and Predicting the Memorability of Natural Scene Images,"Understanding and Predicting the Memorability of Natural Scene Images Jiaxin Lu, Mai Xu, Senior Member, IEEE, Ren Yang and Zulin Wang" @@ -26189,10 +22285,6 @@ opyright owners and it is a condition of accessing these publications that users with these rights. Take down policy The Research Portal is Queen's institutional repository that provides access to Queen's research output. Every effort has been made to" -82088af865626e2340db12b2e42f3a258053d593,Learning Generative ConvNets via Multi-grid Modeling and Sampling,"Learning Generative ConvNets via Multi-grid Modeling and Sampling -Ruiqi Gao1∗, Yang Lu2∗, Junpei Zhou3, Song-Chun Zhu1, Ying Nian Wu1 -University of California, Los Angeles, USA, 2 Amazon, 3 Zhejiang University, China -{sczhu," 829f390b3f8ad5856e7ba5ae8568f10cee0c7e6a,A Robust Rotation Invariant Multiview Face Detection in Erratic Illumination Condition,"International Journal of Computer Applications (0975 – 8887) Volume 57– No.20, November 2012 A Robust Rotation Invariant Multiview Face Detection in @@ -26202,18 +22294,6 @@ Associate Professor, Department of ECE Sona College of Technology Salem" 82f6dad08432a5f1b737ba91dd002ff1f89170f7,c○2013 The Association for Computational Linguistics Order copies of this and other ACL proceedings from:,"ACL201351stAnnualMeetingoftheAssociationforComputationalLinguisticsProceedingsoftheConferenceSystemDemonstrationsAugust4-9,2013Sofia,Bulgaria" -82ff25b6e7749e0210b2f8d5a0666f3499745154,Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment,"International Journal of Computational Intelligence and Informatics, Vol. 3: No. 4, January - March 2014 -Adaptive Multiple Kernels with SIR-Particle Filter -Based Multi Human Tracking for Occluded -Environment -T Karpagavalli -Department of Electronics and Communication -KLN College of Information Technology -Sivagangai, Tamilnadu, India -S Appavu alias Balamurugan -Department of Information Technology -KLN College of Information Technology -Sivagangai, Tamilnadu, India" 82a4a35b2bae3e5c51f4d24ea5908c52973bd5be,Real-time emotion recognition for gaming using deep convolutional network features,"Real-time emotion recognition for gaming using deep convolutional network features S´ebastien Ouellet" @@ -26229,16 +22309,6 @@ Reprints and permissions: sagepub.co.uk/journalsPermissions.nav DOI: 10.1177/1059712316664017 db.sagepub.com" -82b8a0c3e8f46ab0af5179a9d9a6b137405096d3,Generalized Low-Rank Approximations of Matrices Revisited,"Generalized Low Rank Approximations -of Matrices Revisited -Jun Liu, Songcan Chen∗, Zhi-Hua Zhou, Senior Member, IEEE, and Xiaoyang Tan, Member, IEEE" -82485c89a6b48077b03b65a774fd5768ea768d4d,Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks,"Unsupervised Adaptive Re-identification in Open World Dynamic Camera -Networks -Rameswar Panda1,∗ Amran Bhuiyan2,∗,† Vittorio Murino2 Amit K. Roy-Chowdhury1 -Department of ECE -Pattern Analysis and Computer Vision (PAVIS) -UC Riverside -Istituto Italiano di Tecnologia, Italy" 8210fd10ef1de44265632589f8fc28bc439a57e6,Single Sample Face Recognition via Learning Deep Supervised Autoencoders,"Single Sample Face Recognition via Learning Deep Supervised Auto-Encoders Shenghua Gao, Yuting Zhang, Kui Jia, Jiwen Lu, Yingying Zhang" @@ -26273,26 +22343,6 @@ Institute of Medical Technology, Hamburg University of Technology, Hamburg, Germ eemagine Medical Imaging Solutions GmbH, Berlin, Germany Both authors contributed equally. Contact:" -82e4ae961dca2693742c7d35b8647243d9083613,Hybrid Primary and Secondary Biometric Fusion,"International Journal of Computer Applications (0975 – 8887) -National Conference on Electronics and Computer Engineering (NCECE-2016) -Hybrid Primary and Secondary Biometric Fusion -Kiran Kulkarni -Department of Instrumentation -Hubli (Karnataka) -India -Raghavendra Shet -Department of Instrumentation -Hubli (Karnataka) -India -Nalini Iyer -Department of Instrumentation -Hubli (Karnataka) -India -Section 4 deals with the conclusions and possible directions -for future work. -. PROPOSED METHODOLOGY -The proposed work consists of two biometric traits (Face and -Fingerprint) and it aims at fusing these two biometric" 82fc08f5658e0e37aeb36177717621605e11cda1,CNN-Based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss,"CNN-based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss Christian Bailer1 @@ -26306,15 +22356,6 @@ Anurag Chowdhury*, Yousef Atoum+, Luan Tran*, Xiaoming Liu*, Arun Ross* *Michigan State University, USA +Yarmouk University, Jordan" 82ab819815c86e85128a2a055a0c0fcd1146b696,Sampled Image Tagging and Retrieval Methods on User Generated Content,[cs.CV] 23 Nov 2016 -82224858677af47b8c836df701eeea8fffaec924,Paper On Person Identification System Using Multi-Model Biometric Based On Face,"International Journal of Science, Engineering and Technology Research (IJSETR) -Volume 6, Issue 4, April 2017, ISSN: 2278 -7798 -Review Paper On Person Identification System -Using Multi-Model Biometric Based On Face -CHETAN JAMDAR1, AMOL BOKE2 -Chetan Jamdar, M. Tech Student, Dept Of ECE, G.H. Raisoni Academy Of Engg. And Technology, Nagpur, -Maharashtra, India. -Guide details: Amol Boke, Assistant Professor, Dept Of ECE, G.H. Raisoni Academy Of Engg. And Technology, -Nagpur, Maharashtra, India" 82752700f496d4575163b2c59a547d24eb916baf,Similarity Search on Spatio-Textual Point Sets,"Series ISSN: 2367-2005 0.5441/002/edbt.2016.31 o1, {shop,jeans}u2, o2, {football,match,stadium}u3, o3, {shop,market}u2, o5, {hurry, tube, time}u1, o4, {tube,ride}u3, o6, {thames,bridge}u3, o7, {bus,ride}spatial thresholdu2, o8, {football,derby}Figure1:STPSJoinqueryscenario.Multipleobjectsarespatiallyortextuallysimilar,butonlyusersu1andu3haveobjectswhicharemutuallysimilar.dayfrom100millionactiveusers.Useractivitiesintheseplatformsgeneratecontentthathastextualcomponent,e.g.,statusupdates,shortmessages,ortags,and,followingthewidespreadadoptionofGPSinmobiledevices,ageospatialcomponent,e.g.,geotaggedtweets,photos,andusercheck-ins.Thus,theactionsofusersaredocumentedbytheirmessagesinsocialnetworksandassuchgenerate“traces”,whichconsistofspatio-textualobjects.Ef‌f‌icientindexingandqueryingofspatio-textualdatahasreceivedalotofattentionoverthepastyears,duetothehighimportanceofsuchcontentinlocation-basedservices,suchasnearbysearchandrecommendations.Inparticu-lar,multipletypesofspatio-textualquerieshavebeenex-tensivelystudied,includingbooleanrangequeries,top-kqueries,k-nearestneighborqueries,andmorerecently,spatio-textualsimilarityjoins[11,7].Nevertheless,inexistingworks,spatio-textualentitiesaretypicallytreatedasisolatedobservations.Atypicalexamplequeryistofindnearbyrestaurantsorhotelsmatchingcertaincriteria.Theworkin[7]dealswithfindingpairsofentitiesthatarebothspatiallycloseandtextuallysimilar.Exampleusecasesarede-duplicatingPoints-of-Interestacrossdatasets,orfindingmatchingphotostakenatroughlythesameloca-tionandhavingsimilartags.Nowconsiderlookingforsimilarusersinsocialnetworks.Here,auserischaracterizedbythemessagestheygenerateand,ifavailable,respectivelocationinformation.Assuch,eachmessagecanbeconsideredaspatio-textualobject,e.g.,ageotaggedphotoortweet.Witheachuserbeingcharacter-" @@ -26544,9 +22585,6 @@ SAP SE, Berlin" 611f9faa6f3aeff3ccd674d779d52c4f9245376c,Multiresolution models for object detection,"Multiresolution models for object detection Dennis Park, Deva Ramanan, and Charless Fowlkes UC Irvine, Irvine CA 92697, USA," -61228ef559e4d73c8c726115f945f5f86d5638fb,Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks,"Naturalistic Driver Intention and Path Prediction -using Recurrent Neural Networks -Alex Zyner, Member, IEEE, Stewart Worrall, Member, IEEE, and Eduardo Nebot, Member, IEEE" 61e97d8440627bdc9772b3b2083c65f44a51107d,Oxytocin and vasopressin in the human brain: social neuropeptides for translational medicine,"R E V I E W S Oxytocin and vasopressin in the human brain: social neuropeptides @@ -26999,9 +23037,6 @@ Furqan M. Khan, Francois Bremond INRIA Sophia Antipolis-Mediterrannee 004 Route des Lucioles, Sophia Antipolis Cedex, France {furqan.khan |" -7b6f0c4b22aee0cb4987cba9df121d4076fac5a5,On Learning 3D Face Morphable Model from In-the-wild Images,"On Learning 3D Face Morphable Model -from In-the-wild Images -Luan Tran, and Xiaoming Liu, Member, IEEE" 7b0e81249159686337ca2cfe81662123906b6b26,An Automatic Eye Detection Method for Gray Intensity Facial Images,"IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 4, No 2, July 2011 ISSN (Online): 1694-0814 www.IJCSI.org @@ -27040,26 +23075,6 @@ Emre Akbas, Miguel P. Eckstein" Recognition for Objects by Relationships Between Attributes Hiroka Horiguchi*, Kazuo Ikeshiro and Hiroki Imamura Graduate School of Engineering, Soka University, Hachioji-Shi, Tokyo, Japan" -7b9ebcc8b9c05ef661182fe73438b7725584817d,Restoring effects of oxytocin on the attentional preference for faces in autism,"Citation: Transl Psychiatry (2017) 7, e1097; doi:10.1038/tp.2017.67 -www.nature.com/tp -ORIGINAL ARTICLE -Restoring effects of oxytocin on the attentional preference -for faces in autism -M Kanat1,2, I Spenthof1,3, A Riedel4, LT van Elst2,4, M Heinrichs1,2 and G Domes1,2,3 -Reduced attentional preference for faces and symptoms of social anxiety are common in autism spectrum disorders (ASDs). The -neuropeptide oxytocin triggers anxiolytic functions and enhances eye gaze, facial emotion recognition and neural correlates of face -processing in ASD. Here we investigated whether a single dose of oxytocin increases attention to faces in ASD. As a secondary -question, we explored the influence of social anxiety on these effects. We tested for oxytocin’s effects on attention to neutral faces -s compared to houses in a sample of 29 autistic individuals and 30 control participants using a dot-probe paradigm with two -different presentation times (100 or 500 ms). A single dose of 24 IU oxytocin was administered in a randomized, double-blind -placebo-controlled, cross-over design. Under placebo, ASD individuals paid less attention to faces presented for 500 ms than did -ontrols. Oxytocin administration increased the allocation of attention toward faces in ASD to a level observed in controls. -Secondary analyses revealed that these oxytocin effects primarily occurred in ASD individuals with high levels of social anxiety who -were characterized by attentional avoidance of faces under placebo. Our results confirm a positive influence of intranasal oxytocin -on social attention processes in ASD. Further, they suggest that oxytocin may in particular restore the attentional preference for -facial information in ASD individuals with high social anxiety. We conclude that oxytocin’s anxiolytic properties may partially -ccount for its positive effects on socio-cognitive functioning in ASD, such as enhanced eye gaze and facial emotion recognition. -Translational Psychiatry (2017) 7, e1097; doi:10.1038/tp.2017.67; published online 18 April 2017" 7b9b3794f79f87ca8a048d86954e0a72a5f97758,Passing an Enhanced Turing Test - Interacting with Lifelike Computer Representations of Specific Individuals,"DOI 10.1515/jisys-2013-0016      Journal of Intelligent Systems 2013; 22(4): 365–415 Avelino J. Gonzalez*, Jason Leigh, Ronald F. DeMara, Andrew Johnson, Steven Jones, Sangyoon Lee, Victor Hung, Luc @@ -27078,12 +23093,6 @@ Andreas Bulling MPI for Informatics Otmar Hilliges ETH Zurich" -7bdcd85efd1e3ce14b7934ff642b76f017419751,Learning Discriminant Face Descriptor,"Learning Discriminant Face Descriptor -Zhen Lei, Member, IEEE, Matti Pietika¨ inen, Fellow, IEEE, and Stan Z. Li, Fellow, IEEE" -7b1dd2708e1d7bf0fdcda437de1970a9a6facc0d,Deep Recurrent Convolutional Neural Network: Improving Performance For Speech Recognition,"Deep Recurrent Convolutional Neural Network: -Improving Performance For Speech Recognition -Zewang Zhang, Student Member, IEEE, Zheng Sun, Student Member, IEEE, Jiaqi Liu, Student Member, IEEE, -Jingwen Chen, Student Member, IEEE, Zhao Huo, Member, IEEE, and Xiao Zhang, Member, IEEE" 7bbaa09c9e318da4370a83b126bcdb214e7f8428,"FaaSter, Better, Cheaper: The Prospect of Serverless Scientific Computing and HPC","FaaSter, Better, Cheaper: The Prospect of Serverless Scientific Computing and HPC Josef Spillner1, Cristian Mateos2, and David A. Monge3 @@ -27127,11 +23136,6 @@ Matteo Fabbri(cid:63), Fabio Lanzi(cid:63), Simone Calderara(cid:63), Andrea Pal Vezzani, and Rita Cucchiara Department of Engineering “Enzo Ferrari” University of Modena and Reggio Emilia, Italy" -7b331c80a91acf3616afd88e78801ac55c874f43,Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach With Progressive Observation Modeling,"Multiple Player Tracking in Sports Video: A -Dual-Mode Two-Way Bayesian Inference Approach -With Progressive Observation Modeling -Junliang Xing, Student Member, IEEE, Haizhou Ai, Senior Member, IEEE, Liwei Liu, and -Shihong Lao, Member, IEEE" 7b8e9c50f74ce6ca66a8ab61fb18ca31d26cf13f,Nonlinear Channels Aggregation Networks for Deep Action Recognition,"Under review as a conference paper at ICLR 2019 Nonlinear Channels Aggregation Networks for Deep Action Recognition @@ -27279,10 +23283,6 @@ engineering ,Jaipur(INDIA)" 6bcc2b50e32bdbb0c668f75000badf21e6cd0839,Knowledge Projection for Deep Neural Networks,"Knowledge Projection for Effective Design of Thinner and Faster Deep Neural Networks Zhi Zhang, Guanghan Ning, and Zhihai He" -6be0ab66c31023762e26d309a4a9d0096f72a7f0,Enhance Visual Recognition under Adverse Conditions via Deep Networks,"Enhance Visual Recognition under Adverse -Conditions via Deep Networks -Ding Liu, Student Member, IEEE, Bowen Cheng, Zhangyang Wang, Member, IEEE, -Haichao Zhang, Member, IEEE, and Thomas S. Huang, Life Fellow, IEEE" 6b8a5a2d018356b396301b27156fd69dd18b1d82,A Study on the Impact of Wavelet Decomposition on Face Recognition Methods,"International Journal of Computer Applications (0975 – 8887) Volume 87 – No.3, February 2014 A Study on the Impact of Wavelet Decomposition on @@ -27396,18 +23396,6 @@ IEEE, 2011. 561 - 564 Copyright: © 2011 IEEE El acceso a la versión del editor puede requerir la suscripción del recurso Access to the published version may require subscription" -e4e95b8bca585a15f13ef1ab4f48a884cd6ecfcc,Face Recognition with Independent Component Based Super-resolution,"Face Recognition with Independent Component Based -Super-resolution -Osman Gokhan Sezer†,a, Yucel Altunbasakb, Aytul Ercila -Faculty of Engineering and Natural Sciences, Sabanci Univ., Istanbul, Turkiye, 34956 -School of Elec. and Comp. Eng. , Georgia Inst. of Tech., Atlanta, GA, USA, 30332-0250" -e44d8409bb5233bd1822555bf85095a80e27fd49,Spatio-temporal interaction model for crowd video analysis,"Spatio-temporal interaction model for crowd video analysis -Indian Institute of Technology Bombay -Indian Institute of Technology Bombay -Neha Bhargava -India -Subhasis Chaudhuri -India" e4a5ff03ac258f1bcc9c214c30497610b3d5faa2,DropBlock: A regularization method for convolutional networks,"DropBlock: A regularization method for onvolutional networks Golnaz Ghiasi @@ -27450,14 +23438,6 @@ Lu Yuan Microsoft Research Asia" e4d33362b4f99ab77fd6ceaafa183c087c79faea,Design and implementation of a high performance pedestrian detection,"June 23-26, 2013, Gold Coast, Australia 978-1-4673-2754-1/13/$31.00 ©2013 Crown" -e4bce7dabefaff6069fc0773773c80dbc4865005,Evaluation of Face Recognition using Principle Component Analysis and Two Dimensional Component Analysis,"Indian Journal of Advanced Communication Engineering -Volume.1 Number.1 January – June 2013, pp.1-7 -Academic Research Journals, (India) -Evaluation of Face Recognition using Principle Component -Analysis and Two Dimensional Component Analysis -Dr.G.M.Tamilselvan1, Dr. S. Valarmathy2, M.Brindha3 and M. Arun Kumar 4 -Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, India -E-mails:" e475e857b2f5574eb626e7e01be47b416deff268,Facial Emotion Recognition Using Nonparametric Weighted Feature Extraction and Fuzzy Classifier,"Facial Emotion Recognition Using Nonparametric Weighted Feature Extraction and Fuzzy Classifier Maryam Imani and Gholam Ali Montazer" @@ -27474,19 +23454,6 @@ Pascal Fua Computer Vision Laboratory, ´Ecole Polytechnique F´ed´erale de Lausanne {weizhe.liu, krzysztof.lis, mathieu.salzmann, (EPFL)" -e4b9c14951cea6259dd9d522586ba2c5bb1fbcce,Social Image Captioning: Exploring Visual Attention and User Attention,"Article -Social Image Captioning: Exploring Visual Attention -nd User Attention -Leiquan Wang 1 ID , Xiaoliang Chu 1, Weishan Zhang 1, Yiwei Wei 1, Weichen Sun 2,3 -nd Chunlei Wu 1,* -College of Computer & Communication Engineering, China University of Petroleum (East China), -Qingdao 266555, China; (L.W.); (X.C.); -(W.Z.); (Y.W.) -First Research Institute of the Ministry of Public Security of PRC, Beijing 100048, China; -School of Information and Communication Engineering, Beijing University of Posts and -Telecommunications, Beijing 100876, China -* Correspondence: -Received: 1 December 2017; Accepted: 12 February 2018; Published: 22 February 2018" e4cbe39daed8700a1d6f4a25a3a98645c4f231d0,A nonconvex formulation for low rank subspace clustering: algorithms and convergence analysis,"Comput Optim Appl (2018) 70:395–418 https://doi.org/10.1007/s10589-018-0002-6 A nonconvex formulation for low rank subspace @@ -27517,27 +23484,9 @@ University of Augsburg uni-augsburg.de Dan Zecha University of Augsburg" -e4a05b1a478a2aeb6c0b1a4a42f8bdb4f97122f6,Quality Fusion Rule for Face Recognition in Video,"Quality Fusion Rule for Face Recognition in Video -Chao Wang, Yongping Li, and Xinyu Ao -The center for Advanced Detection and Instrumentation, Shanghai Institute of Applied Physics, -Chinese Academy of Science, 201800 Shanghai, China" e4d0e87d0bd6ead4ccd39fc5b6c62287560bac5b,Implicit video multi-emotion tagging by exploiting multi-expression relations,"Implicit Video Multi-Emotion Tagging by Exploiting Multi-Expression Relations Zhilei Liu, Shangfei Wang*, Zhaoyu Wang and Qiang Ji" -e472ab9005af1beb1e0d4a11d83e552c89b4cec2,"An Integrated Approach to Robust Human Face Detection for Complicated Facial Expressions , Angles and Illuminations","European Journal of Scientific Research -ISSN 1450-216X Vol.85 No.1 (2012), pp.123-144 -© EuroJournals Publishing, Inc. 2012 -http://www.europeanjournalofscientificresearch.com -An Integrated Approach to Robust Human Face Detection for -Complicated Facial Expressions, Angles and Illuminations -M. Madhu -Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University, Kanchipuram, India -Department of Electronics and Communication Engineering -E-mail: Tel: +91-9944331257 -R. Amutha -Department of Electronics and Communication Engineering -SSN College of Engineering, Chennai, India -E-mail:" e480f8c00dfe217653c2569d0eec6e2ffa836d59,The “Something Something” Video Database for Learning and Evaluating Visual Common Sense,"The “something something” video database for learning and evaluating visual common sense Raghav Goyal @@ -27558,14 +23507,6 @@ e4896772d51a66b743e0d072d53cf26f6b61fc75,Automated Identification of Trampoline Using Computer Vision Extracted Pose Estimation Paul W. Connolly, Guenole C. Silvestre and Chris J. Bleakley School of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland." -e478c322de923337627487d8a688f5922b45b2ff,Automatic Garage Door Opening Using License Plate Recognition and Fingerprint Verification,"International Journal of Innovative Research in Science, Engineering and Technology -ISSN: 2319-8753 -Vol. 2, Issue 4, April 2013 -Automatic Garage Door Opening Using -License Plate Recognition and Fingerprint -Verification -E. Gomathi, B. Kousalya -Assistant Professor, Department of ECE, Karpagam College of Engineering, Coimbatore, India" e45bcda905b897513f4cff9e5c0a5bf475674a02,"Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation","Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation Aysegul Dundar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz @@ -27593,12 +23534,6 @@ broad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destin´ee au d´epˆot et `a la diffusion de documents scientifiques de niveau recherche, publi´es ou non," -e4a1b46b5c639d433d21b34b788df8d81b518729,Side Information for Face Completion: a Robust PCA Approach,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 -Side Information for Face Completion: a Robust -PCA Approach -Niannan Xue, Student Member, IEEE, Jiankang Deng, Student Member,IEEE, -Shiyang Cheng, Student Member,IEEE, Yannis Panagakis, Member,IEEE, -nd Stefanos Zafeiriou, Member, IEEE" e496d6be415038de1636bbe8202cac9c1cea9dbe,Facial Expression Recognition in Older Adults using Deep Machine Learning,"Facial Expression Recognition in Older Adults using Deep Machine Learning Andrea Caroppo, Alessandro Leone and Pietro Siciliano @@ -27610,12 +23545,6 @@ Department of Engineering ”Enzo Ferrari” University of Modena and Reggio Emilia, Italy Keywords: Head Detection, Head Localization, Depth Maps, Convolutional Neural Network" -e41e1e4d9e578c29bf648e7098c466935b50f1a9,A Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level Segmentation,"A Generative Model for Simultaneous -Estimation of Human Body Shape and -Pixel-level Segmentation -Ingmar Rauschert and Robert T. Collins -Pennsylvania State University, -University Park, 16802 PA, USA" e4dc24e4926df4de3e8d7ca7cd1f4115e91f03e1,Instance-level video segmentation from object tracks Anonymous CVPR submission,"CVPR 2016 Submission #185. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE. Instance-level video segmentation from object tracks Anonymous CVPR submission @@ -27667,12 +23596,6 @@ Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=pcem20 Download by: [Vrije Universiteit Amsterdam] Date: 04 April 2016, At: 13:19" -e4bf70e818e507b54f7d94856fecc42cc9e0f73d,FACE RECOGNITION UNDER VARYING BLUR IN AN UNCONSTRAINED ENVIRONMENT,"IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 -FACE RECOGNITION UNDER VARYING BLUR IN AN -UNCONSTRAINED ENVIRONMENT -Anubha Pearline.S1, Hemalatha.M2 -M.Tech, Information Technology,Madras Institute of Technology, TamilNadu,India, -Assistant Professor, Information Technology,Madras Institute of Technology, TamilNadu,India, email:," e4d8ba577cabcb67b4e9e1260573aea708574886,Um Sistema De Recomendaç˜ao Inteligente Baseado Em V ´ Idio Aulas Para Educaç˜ao a Distˆancia an Intelligent Recommendation System Based on Video Lectures for Distance Education (revelation),"UM SISTEMA DE RECOMENDAC¸ ˜AO INTELIGENTE BASEADO EM V´IDIO AULAS PARA EDUCAC¸ ˜AO A DIST ˆANCIA Gaspare Giuliano Elias Bruno @@ -27744,13 +23667,6 @@ s a Guide for Facial Feature Extraction Nozomi Nakao, Wataru Ohyama, Tetsushi Wakabayashi and Fumitaka Kimura Graduate School of Engineering, Mie University 577 Kurimamachiya-cho, Tsu-shi, Mie, 5148507, Japan" -eea9994c71831219aacd537f5f4ab8a91110a7e2,Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction,"Optimizing the Trade-off between -Single-Stage and Two-Stage Deep Object Detectors -using Image Difficulty Prediction -Petru Soviany, Radu Tudor Ionescu -Department of Computer Science -University of Bucharest, Romania -E-mails:" eee8a37a12506ff5df72c402ccc3d59216321346,Volume C,"Uredniki: dr. Tomaž Erjavec Odsek za tehnologije znanja @@ -27771,34 +23687,15 @@ Informacijska družba ISSN 1581-9973 CIP - Kataložni zapis o publikaciji Narodna in univerzitetna knjižnica, Ljubljana" -eea77e2a891e49e65d4bed54c1b24411f33203a3,Exploring Guide Context in City Scenario Using Color and Gradient Features,"The Open Construction and Building Technology Journal, 2015, 9, 177-181 -Open Access -Exploring Guide Context in City Scenario Using Color and Gradient -Features -Send Orders for Reprints to -Zhuo Bian* -Art Academy of Northeast Agriculture University, Harbin 150001, China" ee9385efb66ee0b1bee31c1632141729bb7fb6f5,Numerical simplification for bloat control and analysis of building blocks in genetic programming,"Noname manuscript No. (will be inserted by the editor) Numerical Simplification for Bloat Control and Analysis of Building Blocks in Genetic Programming David Kinzett · Mark Johnston · Mengjie Zhang the date of receipt and acceptance should be inserted later" -eee69704bde40ab20090c19a21487f7ca5bcc674,On the Effect of Perspective Distortions in Face Recognition,"ON THE EFFECT OF PERSPECTIVE DISTORTIONS -IN FACE RECOGNITION -Zahid Riaz and Michael Beetz -Intelligent Autonomous Systems (IAS), Department of Computer Science, -Technical University of Munich, Munich, Germany -Keywords: -Face Recognition, Active Appearance Models, Feature Extraction, Biometrics." eeec69e910430bebe3808773f5a6a155d77059a0,Multi-shot Pedestrian Re-identification via Sequential Decision Making,"Multi-shot Pedestrian Re-identification via Sequential Decision Making Jianfu Zhang1, Naiyan Wang2 and Liqing Zhang1 Shanghai Jiao Tong University∗, 2TuSimple" -ee335fb785c332b1ac43565b007461002616f1e0,Processing Large Amounts of Images on Hadoop with OpenCV,"Processing Large Amounts of Images -on Hadoop with OpenCV -Timofei Epanchintsev1,2 and Andrey Sozykin1,2 -IMM UB RAS, Yekaterinburg, Russia, -Ural Federal University, Yekaterinburg, Russia" eed1dd2a5959647896e73d129272cb7c3a2e145c,The Elements of Fashion Style,"INPUTSTYLE DOCUMENTTOP ITEMS“ ”I need an outfit for a beach wedding that I'm going to early this summer. I'm so excited -- it's going to be warm and exotic and tropical... I want my outfit to look effortless, breezy, flowy, like I’m floating over the sand! Oh, and obviously no white! For a tropical spot, I think my outfit should be bright and" eedfb384a5e42511013b33104f4cd3149432bd9e,Multimodal probabilistic person tracking and identification in smart spaces,"Multimodal Probabilistic Person Tracking and Identification @@ -27839,14 +23736,6 @@ Dr. Marco Loog Dr. Silvia-Laura Pintea Dr. Adriana Gonzalez Eindhoven, Aug 2017" -ee53c9480132fc0d09b1192226cb2c460462fd6d,Channel Pruning for Accelerating Very Deep Neural Networks,"Channel Pruning for Accelerating Very Deep Neural Networks -Yihui He* -Xi’an Jiaotong University -Xi’an, 710049, China" -ee8d2256ac99799677a5bd88bb1a12973bd245df,Depth Pooling Based Large-Scale 3-D Action Recognition With Convolutional Neural Networks,"Depth Pooling Based Large-scale 3D Action -Recognition with Convolutional Neural Networks -Pichao Wang, Member, IEEE, Wanqing Li, Senior Member, IEEE, -Zhimin Gao, Chang Tang, and Philip Ogunbona, Senior Member, IEEE," eed98eb53b34820df736203d62076eff81de926e,Scene Segmentation and Object Classification for Place Recognition,"Dr. Mongi A. Abidi, Major Professor To the Graduate Council: I am submitting herewith a dissertation written by Chang Cheng entitled “Scene @@ -28016,26 +23905,6 @@ Dr. Gabriel Dichter Dr. Kevin LaBar Dr. Joseph Piven Dr. Aldo Rustioni" -784cc0363d44bf09f3f636abd1a532ddac95ca13,Group-level emotion recognition using transfer learning from face identification,"Group-level Emotion Recognition using Transfer Learning from -Face Identification -Alexandr Rassadin -Alexey Gruzdev -Andrey Savchenko -National Research University Higher -National Research University Higher -National Research University Higher -School of Economics -Laboratory of Algorithms and -Technologies for Network Analysis, -School of Economics -Nizhny Novgorod -Russia -School of Economics -Laboratory of Algorithms and -Technologies for Network Analysis, -Nizhny Novgorod -Russia -Nizhny Novgorod" 78df7d3fdd5c32f037fb5cc2a7c104ac1743d74e,Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition,"TEMPORAL PYRAMID POOLING CNN FOR ACTION RECOGNITION Temporal Pyramid Pooling Based Convolutional Neural Network for Action Recognition @@ -28069,10 +23938,6 @@ Chi-Hao Wu, Qin Huang, Siyang Li, and C.-C. Jay Kuo, Fellow, IEEE" 78fdf2b98cf6380623b0e20b0005a452e736181e,Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition, 78c9a63be8e07dc6acb90f4fe3f06821719eaa34,Hierarchical online domain adaptation of deformable part-based models,"Hierarchical online domain adaptation of deformable part-based models Jiaolong Xu1, David V´azquez2, Krystian Mikolajczyk3 and Antonio M. L´opez1" -78e00cfe5f0bd4bbb3d4111fa11de9e6dda17afc,Multimodal Task-Driven Dictionary Learning for Image Classification,"Multimodal Task-Driven Dictionary Learning -for Image Classification -Soheil Bahrampour, Member, IEEE, Nasser M. Nasrabadi, Fellow, IEEE, Asok Ray, Fellow, IEEE, -nd W. Kenneth Jenkins, Life Fellow, IEEE" 788a3faa14ca191d7f187b812047190a70798428,Interpretable Set Functions,"Interpretable Set Functions Andrew Cotter, Maya Gupta, Heinrich Jiang, James Muller, Taman Narayan, Serena Wang, Tao Zhu @@ -28080,18 +23945,6 @@ James Muller, Taman Narayan, Serena Wang, Tao Zhu Google Research" 7882c67f555b761e10ecc70216db25382890d9d7,Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks,"Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks" -787303db8e707feee2fa2b93dfc46e3d3cc244cd,Defocus Blur Parameter Estimation Technique,"International Journal of Electronics and Communication Engineering and Technology (IJECET) -Volume 7, Issue 4, July-August 2016, pp. 85–90, Article ID: IJECET_07_04_010 -Available online at -http://www.iaeme.com/IJECET/issues.asp?JType=IJECET&VType=7&IType=4 -Journal Impact Factor (2016): 8.2691 (Calculated by GISI) www.jifactor.com -ISSN Print: 0976-6464 and ISSN Online: 0976-6472 -© IAEME Publication -DEFOCUS BLUR PARAMETER ESTIMATION -TECHNIQUE -Ruchi Gajjar, Aditi Pathak and Tanish Zaveri -Electronics and Communication Engineering Department -Institute of Technology, Nirma University, Ahmedabad, Gujarat, India" 78749b58299ecebf100e2512872029f89878449b,One-class Selective Transfer Machine for Personalized Anomalous Facial Expression Detection, 782188821963304fb78791e01665590f0cd869e8,Automatic Spatially-Aware Fashion Concept Discovery,"sleevelengthincreasing dress length+ mini =(b) Structured product browsing(c) Attribute-feedback product retrieval(a) Concept discoveryminimidimaxisleevelessshort-sleevelong-sleeveblueblackredyellowFigure1.(a)Weproposeaconceptdiscoveryapproachtoauto-maticallyclusterspatially-awareattributesintomeaningfulcon-cepts.Thediscoveredspatially-awareconceptsarefurtherutilizedfor(b)structuredproductbrowsing(visualizingimagesaccordingtoselectedconcepts)and(c)attribute-feedbackproductretrieval(refiningsearchresultsbyprovidingadesiredattribute).variousfeedback,includingtherelevanceofdisplayedim-ages[20,4],ortuningparameterslikecolorandtexture,andthenresultsareupdatedcorrespondingly.However,rel-evancefeedbackislimitedduetoitsslowconvergencetomeetthecustomerrequirements.Inadditiontocolorandtexture,customersoftenwishtoexploithigher-levelfea-tures,suchasneckline,sleevelength,dresslength,etc.Semanticattributes[13],whichhavebeenappliedef-fectivelytoobjectcategorization[15,27]andfine-grainedrecognition[12]couldpotentiallyaddresssuchchallenges.Theyaremid-levelrepresentationsthatdescribesemanticproperties.Recently,researchershaveannotatedclotheswithsemanticattributes[9,2,8,16,11](e.g.,material,pat-tern)asintermediaterepresentationsorsupervisorysignalstobridgethesemanticgap.However,annotatingsemanticattributesiscostly.Further,attributesconditionedonob-jectpartshaveachievedgoodperformanceinfine-grainedrecognition[3,33],confirmingthatspatialinformationiscriticalforattributes.Thisalsoholdsforclothingimages.Forexample,thenecklineattributeusuallycorrespondstothetoppartinimageswhilethesleeveattributeordinarily1" 78f7304ba4c853c568dc4e38fef35aa2c003e3f3,Modeling correlations in spontaneous activity of visual cortex with centered Gaussian-binary deep Boltzmann machines.,"visual cortex with centered Gaussian-binary deep @@ -28108,10 +23961,6 @@ Laurenz Wiskott Institut f¨ur Neuroinformatik Ruhr-Universit¨at Bochum Bochum, 44780, Germany" -78a85785150b2b80eca826ba9afc05005184a7c3,Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network,"Optical Flow Super-Resolution Based on Image -Guidence Using Convolutional Neural Network -Liping Zhang, Zongqing Lu∗, Qingmin Liao -Graduate School at Shenzhen, Tsinghua University Shenzhen, China" 78a144d5dce1a61c92420e77c11116f541a7617f,Box Aggregation for Proposal Decimation: Last Mile of Object Detection,"Box Aggregation for Proposal Decimation: Last Mile of Object Detection The Chinese University of Hong Kong ♯Stanford University ‡Shanghai Jiao Tong University Shu Liu† Cewu Lu♯,‡ @@ -28133,20 +23982,6 @@ Arman Savran Electrical and Electronics Engineering Department Bo˘gazic¸i University, Istanbul, Turkey B¨ulent Sankur" -7809a42a833b49725f3a4bb8f70f63f4d2cee11c,Detection of Person in A Group of People Using 3-D Based Model,"Detection of Person in A Group of People Using 3-D Based Model -Dr. P. Srirama Chandra Murty1, Ch. Anuradha2, Dr. Syed Muneer3 -Assistant Professor, Dept. of Computer Science and Engineering, ANUCET, Acharya Nagarjuna -University, Guntur, India -Asst. Professor, Dept. of Computer Science and Engineering, PNC & Vijay Institute of Engineering -Computer Professional, Dept. of Computer Science and Engineering, ANUCET, Acharya Nagarjuna -nd Technology, Guntur, Andhra Pradesh, India. -University, Guntur, Andhra Pradesh, India" -78342d17c6c6fff00cf1b20602f3213a3f61ba56,Collaborative Discriminant Locality Preserving Projections With its Application to Face Recognition,"Collaborative Discriminant Locality Preserving Projections With its Application -to Face Recognition -Sheng Huanga,c, Dan Yanga,b,∗, Dong Yangc, Ahmed Elgammalc -College of Computer Science at Chongqing University, Chonqing, 400044, China -School of Software Engineering at Chongqing University Chonqing, 400044, China -Department of Computer Science at Rutgers University, Piscataway, NJ, 08854, USA" 78d00241fc9798eba895d41a0068715212a70489,Person identification from gait analysis with a depth camera at home,978-1-4244-9270-1/15/$31.00 ©2015 IEEE 781c2553c4ed2a3147bbf78ad57ef9d0aeb6c7ed,Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels,"Int J Comput Vis DOI 10.1007/s11263-017-1023-9 @@ -28215,24 +24050,6 @@ Asturias, Spain; (R.U.); (R.C.) * Corrospondence: Tel.: +34-984-29-12-12; Fax: +34-984-39-06-12 Academic Editor: Gonzalo Pajares Martinsanz Received: 14 July 2016; Accepted: 24 October 2016; Published: 28 October 2016" -4991dcef497ddd7ea115663985a9e0635494a95d,Detecting Group Activities With Multi-Camera Context,"Detecting Group Activities With -Multi-Camera Context -Zheng-Jun Zha, Member, IEEE, Hanwang Zhang, Meng Wang, Member, IEEE, Huanbo Luan, and Tat-Seng Chua" -49b349021c958772926851ee7b704c8839977e28,Face Recognition by Using Distance Classifier Based On PCA and LDA,"ISSN (Online) : 2319 - 8753 -ISSN (Print) : 2347 - 6710 -International Journal of Innovative Research in Science, Engineering and Technology -2014 International Conference on Innovations in Engineering and Technology (ICIET’14) -Volume 3, Special Issue 3, March 2014 -On 21st & 22nd March Organized by -K.L.N. College of Engineering, Madurai, Tamil Nadu, India -Face Recognition by Using Distance Classifier -Based On PCA and LDA -Gayathri.S#1, Mary Jeya priya.R#2, Dr.Valarmathy.S *3 -#1 P.G Scholar, Department of Electronics and Communication, Bannari Amman Institute of Technology, -#2 P.G Scholar, Department of Electronics and Communication, Bannari Amman Institute of Technology, -Sathyamangalam, Tamilnadu, India. -Sathyamangalam, Tamilnadu, India. -*3Bannari Amman Institute of Technology, Sathyamangalam, , Tamilnadu, India." 49004f22a420e0897f7b811239c1e098b0c655bf,Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering,"Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering Medhini Narasimhan, Svetlana Lazebnik, Alexander G. Schwing @@ -28358,15 +24175,6 @@ Yu-Wing Tai Tencent Chi-Keung Tang HKUST" -49b3f6d8712c01f315686b6b8541eda8c5ee428a,Virtual friend or threat? The effects of facial expression and gaze interaction on psychophysiological responses and emotional experience.,"Copyright r 2009 Society for Psychophysiological Research -DOI: 10.1111/j.1469-8986.2009.00831.x -Virtual friend or threat? The effects of facial expression -nd gaze interaction on psychophysiological responses -nd emotional experience -FRANZISKA SCHRAMMEL,a SEBASTIAN PANNASCH,a SVEN-THOMAS GRAUPNER,a -ANDREAS MOJZISCH,b and BORIS M. VELICHKOVSKYa -Institute for Psychology III, Technische Universitaet Dresden, Germany -Institute for Psychology, Georg-August-University Goettingen, Germany" 490a0b6ff5b982e884622bb9c81250f05c069f32,Template Aging in 3 D and 2 D Face Recognition,"Template Aging in 3D and 2D Face Recognition Ishan Manjani∗ Hakki Sumerkan† @@ -28414,13 +24222,6 @@ neodvisnih komponent, zanesljivost razpoznavanja, kakovost vhodnih slik Impact of image degradations on the face recognition accuracy" 49e85869fa2cbb31e2fd761951d0cdfa741d95f3,Adaptive Manifold Learning,"Adaptive Manifold Learning Zhenyue Zhang, Jing Wang, and Hongyuan Zha" -4980511ea7ac286b7fff0456216425287bc9a083,Automatic Image Annotation Using Modified Keywords Transfer Mechanism Base on Image-Keyword Graph,"Automatic Image Annotation Using Modified Keywords Transfer -Mechanism Base on Image-Keyword Graph -Guo-Qing Xu1, Zhi-Chun Mu2 -1 School of Automation and Electrical Engineering, University of Science and Technology Beijing -School of Automation and Electrical Engineering, University of Science and Technology Beijing -Beijing, 100083, China -Beijing, 100083, China" 493abaf881c3a6e9d3bf47a8d6e75abb4e75f557,Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth,"Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth Humphrey Hu† and George Kantor†" @@ -28441,11 +24242,6 @@ Computer Vision Group June 9, 2017 M.Sc. John Chiotellis: Metric Learning / 46" -49f22f29e57f5867b47348555136844ffa6c6603,Beyond Lesion-Based Diabetic Retinopathy: A Direct Approach for Referral,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2012 -Beyond Lesion-based Diabetic Retinopathy: -Direct Approach for Referral -Ramon Pires, Member, IEEE, Sandra Avila, Member, IEEE, Herbert F. Jelinek, Member, IEEE, -Jacques Wainer, Eduardo Valle, and Anderson Rocha, Senior Member, IEEE" 4987ac5638e1fdb116cc76626465f166998d7536,Polysemous codes.,"Polysemous codes Matthijs Douze, Herv´e J´egou and Florent Perronnin Facebook AI Research" @@ -28480,10 +24276,6 @@ Generic and attribute-specific deep representations for maritime vessels Berkan Solmaz*† , Erhan Gundogdu†, Veysel Yucesoy and Aykut Koc" -23a8dc98eb38039f032d77a209751b25d3106c4b,Memory Efficient Max Flow for Multi-label Submodular MRFs,"Memory Efficient Max Flow for Multi-label -Submodular MRFs -Thalaiyasingam Ajanthan, Student Member, IEEE, Richard Hartley, Fellow, IEEE, -nd Mathieu Salzmann, Member, IEEE" 2322ec2f3571e0ddc593c4e2237a6a794c61251d,Four not six: Revealing culturally common facial expressions of emotion.,"Jack, R. E. , Sun, W., Delis, I., Garrod, O. G. B. and Schyns, P. G. (2016) Four not six: revealing culturally common facial expressions of emotion.Journal of Experimental Psychology: General, 145(6), pp. 708- @@ -28519,10 +24311,6 @@ Institut de Police Scientifique, E´ cole des Sciences Criminelles, Universite Speech Processing and Biometrics Group, Signal Processing Institute, E´ cole Polytechnique Fe´de´rale de Lausanne, Switzerland Received 9 June 2006; accepted 14 June 2006 Available online 4 August 2006" -236942bb64f1711b4763424b2f795fb518c9d8d4,Optimizing LBP Structure For Visual Recognition Using Binary Quadratic Programming,"Optimizing LBP Structure For Visual Recognition -Using Binary Quadratic Programming -Jianfeng Ren, Student Member, IEEE, Xudong Jiang, Senior Member, IEEE, Junsong Yuan, Senior Member, IEEE, -nd Gang Wang, Member, IEEE" 239df42479c69cf95e7194cc0ec3d8cf7d4a98e8,Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation,"Face Detection and Extraction from Low Resolution Surveillance Video Using Motion Segmentation @@ -28583,10 +24371,6 @@ Jack Terwilliger, Julia Kindelsberger, Li Ding, Sean Seaman, Hillary Abraham, Al Ming-Hsuan Yang Honda Fundamental Research Labs Mountain View, CA 94041" -236a4f38f79a4dcc2183e99b568f472cf45d27f4,Randomized Clustering Forests for Image Classification,"Randomized Clustering Forests -for Image Classification -Frank Moosmann, Student Member, IEEE, Eric Nowak, Student Member, IEEE, and -Frederic Jurie, Member, IEEE Computer Society" 2312bc2d48a0f68bd5ab1b024d5726786455da3a,Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification,"Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification Supplementary Materials @@ -28609,35 +24393,11 @@ including detected and manually annotated. In this paragraph, we show the overal results to approximate the single-shot results. The DGD [6] is trained using multiple datasets. In this paper, we use the" 23172f9a397f13ae1ecb5793efd81b6aba9b4537,Defining Visually Descriptive Language,"Proceedings of the 2015 Workshop on Vision and Language (VL’15), pages 10–17, Lisbon, Portugal, 18 September 2015. c(cid:13)2015 Association for Computational Linguistics." -237734e3fd3abab005b0b97d61416ee16105f902,Consensus Maximization for Semantic Region Correspondences,"Consensus Maximization for Semantic Region Correspondences -Pablo Speciale1, Danda P. Paudel2, Martin R. Oswald1, -Hayko Riemenschneider2, Luc V. Gool2,4, and Marc Pollefeys1,3 -Department of Computer Science, ETH Z¨urich. -Microsoft, Redmond, USA -{pablo, moswald, -Computer Vision Laboratory, D-ITET, ETH Z¨urich -VISICS, ESAT/PSI, KU Leuven, Belgium -{paudel, hayko, -Day / Night -Registration -Outdoor / Indoor -Registration -Scan / CAD -Registration -Figure 1: Example registration results. Our approach solves challenging registration problems by maximizing the number of corre- -sponding semantic regions – such as windows, doors or balconies – for datasets from different modalities, with large amounts of noise and -outliers, little data overlap, or significantly different data statistics." 23e881c9b791fd17e248b1fb4fc980710dd005d7,An Unbiased Temporal Representation for Video-Based Person Re-Identification,"AN UNBIASED TEMPORAL REPRESENTATION FOR VIDEO-BASED PERSON RE-IDENTIFICATION Xiu Zhang and Bir Bhanu Center for Research in Intelligent Systems University of California, Riverside, Riverside, CA 92521, USA" -239c06cd437832faa55a8e7292c50e45229a3d7c,Generating analytic insights on human behavior using image processing,"Generating Analytic Insights on Human behavior -using Image Processing -Namit Juneja, Rajesh Kumar M, Senior Member, IEEE -School of Electronics Engineering -VIT University -Vellore, India" 23ea8a34570342855611a78a4ff00ddd902e6123,Gradient-based global features and its application to image retargeting,"Gradient-based Global Features and Its Application to Image Retargeting Izumi Ito @@ -28645,10 +24405,6 @@ Tokyo Institute of Technology Tokyo, 152-8552 Japan +81-3-5734-2997" 23cb53fd272c105e98111e66502120216ae1788c,Incremental learning for robot perception through HRI,"Incremental Learning for Robot Perception through HRI Sepehr Valipour∗, Camilo Perez∗ and Martin Jagersand" -23fa51635c646aa621bb18ff76f31d5e48ac969b,MFSC: A new shape descriptor with robustness to deformations,"MFSC: A NEW SHAPE DESCRIPTOR WITH ROBUSTNESS TO DEFORMATIONS -Lunshao Chaia, Zhen Qinb, Honggang Zhanga, Jun Guoa, Bir Bhanub -Beijing University of Posts and Telecomuunictions, Beijing, 100876, China -University of California at Riverside, Riverside, CA 92521, USA" 2333cf918f50ac2ae201a837166d310adf3a00b0,Optimally Training a Cascade Classifier,"Optimally Training a Cascade Classifier Chunhua Shen, Peng Wang, and Anton van den Hengel" 23e0571fd42347ca2bdf424b8562c6c6f72b88fc,Classification of Things in DBpedia using Deep Neural Networks,"International Journal of Web & Semantic Technology (IJWesT) Vol.9, No.1, January 2018 @@ -28712,47 +24468,10 @@ Computer Vision Laboratory ETH Zurich ESAT-PSI / IBBT KU Leuven" -238fc68b2e0ef9f5ec043d081451902573992a03,Enhanced Local Gradient Order Features and Discriminant Analysis for Face Recognition,"Enhanced Local Gradient Order Features and -Discriminant Analysis for Face Recognition -Chuan-Xian Ren, Zhen Lei, Member, IEEE, Dao-Qing Dai, Member, IEEE, and Stan Z. Li, Fellow, IEEE -role in robust face recognition [5]. Many algorithms have -een proposed to deal with the effectiveness of feature design -nd extraction [6], [7]; however, the performance of many -existing methods is still highly sensitive to variations of -imaging conditions, such as outdoor illumination, exaggerated -expression, and continuous occlusion. These complex varia- -tions are significantly affecting the recognition accuracy in -recent years [8]–[10]. -Appearance-based subspace learning is one of the sim- -plest approach for feature extraction, and many methods -re usually based on linear correlation of pixel intensities. -For example, Eigenface [11] uses eigen system of pixel -intensities to estimate the lower rank linear subspace of -set of training face images by minimizing the (cid:2)2 dis- -tance metric. The solution enjoys optimality properties when -noise is independent -identically distributed Gaussian only." -23b37c2f803a2d4b701e2f39c5f623b2f3e14d8e,Modified Approaches on Face Recognition By using Multisensory Image,"Available Online at www.ijcsmc.com -International Journal of Computer Science and Mobile Computing -A Monthly Journal of Computer Science and Information Technology -ISSN 2320–088X -IJCSMC, Vol. 2, Issue. 4, April 2013, pg.646 – 649 -RESEARCH ARTICLE -Modified Approaches on Face Recognition -By using Multisensory Image -S. Dhanarajan1, G. Michael2 -Computer Science Department, Bharath University, India -Computer Science Department, Bharath University, India" 23943197f4124aa6c5a263bf2042169c9b816906,Crafting GBD-Net for Object Detection,"MANUSCRIPT Crafting GBD-Net for Object Detection Xingyu Zeng*,Wanli Ouyang*,Junjie Yan, Hongsheng Li,Tong Xiao, Kun Wang, Yu Liu, Yucong Zhou, Bin Yang, Zhe Wang,Hui Zhou, Xiaogang Wang," -23c9fe37fa0474967be4cc6c7a310dcc87b86b72,Spatial Feature Interdependence Matrix (SFIM): A Robust Descriptor for Face Recognition,"Spatial Feature Interdependence Matrix (SFIM): -A Robust Descriptor for Face Recognition -Anbang Yao1 and Shan Yu2 -National Laboratory of Pattern Recognition, Institute of Automation, -Chinese Academy of Science, Beijing, 100090, China -National Institute for Research in Computer Science and Control, France" 231a12de5dedddf1184ae9caafbc4a954ce584c3,Closed and Open World Multi-shot Person Re-identification. (Ré-identification de personnes à partir de multiples images dans le cadre de bases d'identités fermées et ouvertes),"Closed and Open World Multi-shot Person Re-identification Solène Chan-Lang @@ -28773,9 +24492,6 @@ L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de" -2340a8fa6d90741c53e659cd1e7ca86ff900aa55,Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images,"Body Parts Dependent Joint Regressors for -Human Pose Estimation in Still Images -Matthias Dantone, Juergen Gall, Member, IEEE Christian Leistner, and Luc Van Gool, Member, IEEE" 2349eab05cd0c6f94ba5314c037d198aa12c2f0f,Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE ICASSP 2012" 237316762470d72a02795a7f57de9279e9cda16a,Dimensionality-reduced subspace clustering,"Dimensionality-reduced subspace clustering @@ -28977,52 +24693,6 @@ Technische Universit¨at Ilmenau Die Dissertation wurde am 16.06.2009 bei der Technischen Universit¨at M¨unchen einge- reicht und durch die Fakult¨at f¨ur Elektrotechnik und Informationstechnik am 30.10.2009 ngenommen." -f113aed343bcac1021dc3e57ba6cc0647a8f5ce1,A Survey on Mining of Weakly Labeled Web Facial Images and Annotation,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611 -A Survey on Mining of Weakly Labeled Web Facial -Images and Annotation -Tarang Boharupi1, Pranjali Joshi2 -Pune Institute of Computer Technology, Pune, India -Professor, Pune Institute of Computer Technology, Pune, India -the proposed system which" -f1c76d97caa6f882764c1382c622a2dfb6aade43,CoreRank: Redeeming “Sick Silicon” by Dynamically Quantifying Core-Level Healthy Condition,"CoreRank: Redeeming “Sick Silicon” -y Dynamically Quantifying Core-Level -Healthy Condition -Guihai Yan, Member, IEEE, Faqiang Sun, Huawei Li, Senior Member, IEEE, and -Xiaowei Li, Senior Member, IEEE" -f1ec3752535e0aa6aafe3930974a22250e652ca1,Gender and emotion recognition with implicit user signals,"Gender and Emotion Recognition with Implicit User Signals -Maneesh Bilalpur -International Institute of Information -Technology -Hyderabad, India -Seyed Mostafa Kia -Donders Institute, Radboud -University -Nijmegen, Netherlands -Manisha Chawla -Centre for Cognitive Science, Indian -Institute of Technology -Gandhinagar, India -Tat-Seng Chua -School of Computing, National -University of Singapore -Singapore -Ramanathan Subramanian -University of Glasgow & Advanced -Digital Sciences Center" -f1471a408369689e2fc956b417dce24e47557a38,A Novel Face Template Protection Algorithm Based on the Fusion of Chaos Theory and RSA Encryption,"International Journal of Security and Its Applications -Vol. 10, No. 6 (2016) pp.315-330 -http://dx.doi.org/10.14257/ijsia.2016.10.6.30 -A Novel Face Template Protection Algorithm Based on the Fusion -of Chaos Theory and RSA Encryption -Liu Yunan1, Zhao Fudong2, Xu Yanli3 and Cao Yu2* -.School of Foreign Languages, Harbin University of Science and Technology, -Harbin, 150080, China -.School of Automation, Harbin University of Science and Technology, Harbin, -50080, China -.School of Foreign Languages, Northeast Forestry University, Harbin, 150040, -China" f1498ba94d64ee221e27b658bcd407c160cf0897,LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry Estimation,"LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry Estimation Gabriele Costante†,1 and Thomas A. Ciarfuglia†,1" @@ -29100,25 +24770,6 @@ f1d8c377093ecf64afd7f17383738e81666fe5ae,Remote Detection of Idling Cars Using I Remote Detection of Idling Cars Using Infrared Imaging and Deep Networks Muhammet Bastan · Kim-Hui Yap · Lap-Pui Chau Date: April 2018" -f19527b2ceabf50831e78ac04161107c936efb2b,Discriminative Sparse Neighbor Approximation for Imbalanced Learning,"Discriminative Sparse Neighbor Approximation -for Imbalanced Learning -Chen Huang, Chen Change Loy, Member, IEEE, and Xiaoou Tang, Fellow, IEEE" -56fcc0ef7c10ff322626fec29f532af1860ff2f7,Occlusion and Abandoned Object Detection for Surveillance Applications,"International Journal of Computer Applications Technology and Research -Volume 2– Issue 6, 708 - 713, 2013, ISSN: 2319–8656 -Occlusion and Abandoned Object Detection for -Surveillance Applications -M. Chitra -RVS college of Engineering -nd Technology -Karaikal, India -M.Kalaiselvi Geetha -Annamalai University -Chidambaram, India -L.Menaka -RVS college of Engineering -nd Technology -Karaikal, India -is challenging and" 568727a76dc1242e3d48392f9c19678a27c63482,High Entropy Ensembles for Holistic Figure-ground Segmentation,"GALLO et al.: HEE FOR HOLISTIC FIGURE-GROUND SEGMENTATION High Entropy Ensembles for Holistic Figure-ground Segmentation @@ -29132,23 +24783,6 @@ Department of Theoretical and Applied Science University of Insubria Varese, Italy" -56f5a94047966eac4b2f97ded4b50513f9a09951,Is the Kidney Donor Risk Index a Useful Tool in Non-US Patients?,"791148 CJKXXX10.1177/2054358118791148Canadian Journal of Kidney Health and DiseaseYoung et al -research-article20182018 -Original Research Article -Is the Kidney Donor Risk Index a -Useful Tool in Non-US Patients? -Ann Young1, Greg A. Knoll2,3, Eric McArthur2, -Stephanie N. Dixon2,4, Amit X. Garg2,5, -Charmaine E. Lok1,2,6, Ngan N. Lam7, and S. Joseph Kim1,2,6,8 -Canadian Journal of Kidney Health -nd Disease -Volume 5: 1 –10 -© The Author(s) 2018 -Reprints and permissions: -sagepub.com/journals-permissions -DOI: 10.1177/2054358118791148 -https://doi.org/10.1177/2054358118791148 -journals.sagepub.com/home/cjk" 566038a3c2867894a08125efe41ef0a40824a090,Face recognition and gender classification in personal memories,"978-1-4244-2354-5/09/$25.00 ©2009 IEEE ICASSP 2009" 56b9c6efe0322f0087d2f82b52129cc6b41ab356,"Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products","Acquire, Augment, Segment & Enjoy: @@ -29229,22 +24863,10 @@ Relatively-Paired Space Analysis: Learning a Latent Common Space from Relatively-Paired Observations Zhanghui Kuang · Kwan-Yee K. Wong Received: date / Accepted: date" -56d4eeb7fcdfd4f3156b9bdd20a9f35c995ebcac,Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person,"Local Similarity based Linear Discriminant -Analysis for Face Recognition with Single -Sample per Person -Fan Liu1, Ye Bi1, Yan Cui2, Zhenmin Tang1 -School of Computer Science and Engineering, Nanjing University of Science and -Key Laboratory of Broadband Wireless Communication and Sensor Network -Technology, Nanjing University of Posts and Telecommunications, China -Technology, China" 56a0ead811a1bf15e42be8a9a007b0299636f213,Talk the Walk: Navigating New York City through Grounded Dialogue,"Talk the Walk: Navigating New York City through Grounded Dialogue Harm de Vries1, Kurt Shuster3, Dhruv Batra3,2, Devi Parikh3,2, Jason Weston3 & Douwe Kiela3 MILA, Université de Montréal; 2Georgia Institute of Technology; 3Facebook AI Research" -56a653fea5c2a7e45246613049fb16b1d204fc96,Quaternion Collaborative and Sparse Representation With Application to Color Face Recognition,"Quaternion Collaborative and Sparse Representation -With Application to Color Face Recognition -Cuiming Zou, Kit Ian Kou, Member, IEEE, and Yulong Wang, Student Member, IEEE -representation-based" 56dca23481de9119aa21f9044efd7db09f618704,Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices,"Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices Anoop Cherian @@ -29271,26 +24893,6 @@ nel MBPLS presents favorable aspects such as the scalability and robustness with number of cameras combined with the high matching rates." 56cf859363f1b5231418b40b957a9132a78ea546,VLASE: Vehicle Localization by Aggregating Semantic Edges,"VLASE: Vehicle Localization by Aggregating Semantic Edges Xin Yu1∗, Sagar Chaturvedi1∗, Chen Feng2, Yuichi Taguchi2, Teng-Yok Lee2, Clinton Fernandes1, Srikumar Ramalingam1" -568067d7232c753e182dbc1d7075364560ffc363,Scope of physiological and behavioural pain assessment techniques in children – a review,"Scope of physiological and behavioural pain assessment techniques -in children – a review -Saranya Devi Subramaniam1, Brindha Doss1 ✉, Lakshmi Deepika Chanderasekar2, Aswini Madhavan1, -Antony Merlin Rosary2 -Department of Biomedical Engineering, PSG College of Technology, Coimbatore 641004, India -Department of Electronics & Communication Engineering, PSG College of Technology, Coimbatore, 641004, India -✉ E-mail: -Published in Healthcare Technology Letters; Received on 7th February 2018; Accepted on 10th May 2018 -Pain is an unpleasant subjective experience. At present, clinicians are using self-report or pain scales to recognise and monitor pain in children. -However, these techniques are not efficient to observe the pain in children having cognitive disorder and also require highly skilled observers -to measure pain. Using these techniques it is also difficult to choose the analgesic drug dosages to the patients after surgery. Thus, this -onceptual work explains the demand for automatic coding techniques to evaluate pain and also it documents some evidence of -techniques that act as an alternative approach for objectively determining pain in children. In this review, some good indicators of pain in -hildren are explained in detail; they are facial expressions from an RGB image, thermal image and also feature from well proven -physiological signals such as electrocardiogram, skin conductance, body temperature, surgical pleth index, pupillary reflex dilation, -nalgesia nociception index, photoplethysmography, perfusion index etc. -. Introduction: The children will encounter pain resulting from -injuries, disease, after surgery and other health problems. The -‘International Association for the Study of Pain (IASP)’, an -interdisciplinary organisation created in 1973 to study pain and" 564d4ee76c0511bc395dfc8ef8e3b3867fc34a6d,Robust group sparse representation via half-quadratic optimization for face recognition,"Robust Group Sparse Representation via Half-Quadratic Optimization for Face Recognition Yong Peng and Bao-Liang Lu(cid:3), Senior Member, IEEE" @@ -29336,26 +24938,6 @@ Berichter: Universit¨atsprofessor Dr.-Ing. Hermann Ney Universit¨atsprofessor Dr.-Ing. Hans Burkhardt Tag der m¨undlichen Pr¨ufung: 14. M¨arz 2006 Diese Dissertation ist auf den Internetseiten der Hochschulbibliothek online verf¨ugbar." -98a60b218ff8addaf213e97e2f4b54d39e45f5b9,Benchmarking Real World Object Recognition,"Bonn-Aachen International Center for Information Technology -Master of Science in Autonomous Systems -Bonn-Rhein-Sieg University of Applied Sciences -Date: March 4, 2005 -Student: Adolf, Florian-Michael -Matriculation-No: 9005989 -eMail: -Supervisor: Prassler, Erwin -Institution: UAS Bonn-Rhein-Sieg -eMail: -Benchmarking Real World Object Recognition -Summer Term 2005 -Master Thesis Proposal -Context -Service robotics basically comprise everything that is not industrial robotics, and reflects -the distinction between the manufacturing and service sectors of the economy. Hence -service robots are supposed to operate in our human world as autonomously as possible. -The perception of objects in video images suitable for everyday use (”real-world”) is one -of the key disciplines in developing this key technology. -Recent service robotic projects [16, 13, 19, 20, 2] demand research in machine vision and" 98a660c15c821ea6d49a61c5061cd88e26c18c65,Face Databases for 2 D and 3 D Facial Recognition : A Survey,"IOSR Journal of Engineering (IOSRJEN) e-ISSN: 2250-3021, p-ISSN: 2278-8719 Vol. 3, Issue 4 (April. 2013), ||V1 || PP 43-48 @@ -29487,13 +25069,6 @@ OpenAI Sergey Levine Google Brain UC Berkeley" -98735e57075ed6e8ef9d98d7ca4895013492e35b,Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation,"Backdoor Embedding in Convolutional Neural Network Models -via Invisible Perturbation -Cong Liao∗†, Haoti Zhong∗‡, Anna Squicciarini†, Sencun Zhu⨿, David Miller‡ -College of Information Sciences & Technology -⨿Dept. of Computer Sciences & Engineering -Dept. of Electrical Engineering -Pennsylvania State University" 98c7a6210ca7bc81d2f7092ab28451f47039e920,UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title What is the Ground ?,"UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society @@ -29793,23 +25368,6 @@ Nicolas Thome 3 Sorbonne Universit´es, UPMC Univ Paris 06, CNRS, LIP6 UMR 7606, 4 place Jussieu, 75005 Paris Heuritech, 248 rue du Faubourg Saint-Antoine, 75012 Paris Conservatoire National des Arts et M´etiers" -fefd9778ef0c23b9e59c2a4748dcb98c827168f4,Semantic Pixel Sets Based Local Binary Patterns for Face Recognition,"Semantic Pixel Sets based Local Binary Patterns -for Face Recognition -Zhenhua Chai1, Heydi Mendez-Vazquez2, Ran He1, Zhenan Sun1, and Tieniu -National Laboratory of Pattern Recognition, Institute of Automation, -Chinese Academy of Science, P.O. Box 2728, Beijing, 100080, P.R. China -Advanced Technologies Application Center. -7th Avenue #21812 b/ 218 and 222, P.C. 12200, Playa, Havana, Cuba." -fe7e3cc1f3412bbbf37d277eeb3b17b8b21d71d5,Performance Evaluation of Gabor Wavelet Features for Face Representation and Recognition,"IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) -Volume 6, Issue 2, Ver. I (Mar. -Apr. 2016), PP 47-53 -e-ISSN: 2319 – 4200, p-ISSN No. : 2319 – 4197 -www.iosrjournals.org -Performance Evaluation of Gabor Wavelet Features for Face -Representation and Recognition -M. E. Ashalatha1, Mallikarjun S. Holi2 -Dept. of Biomedical Engineering, Bapuji Institute of Engineering & Technology Davanagere, Karnataka,India -Dept. of Electronics and Instrumentation Engineering, University B.D.T.College of Engineering, Visvesvaraya -Technological University, Davanagere, Karnataka, India" fe9b0accf0e7d3821bc5d7d62937499a441633c9,Learning Disentangled Representations with Reference-Based Variational Autoencoders,"Learning Disentangled Representations with Reference-Based Variational Autoencoders Adria Ruiz 1 Oriol Martinez 2 Xavier Binefa 2 Jakob Verbeek 1" @@ -30036,11 +25594,6 @@ Panna Felsen1,2, Patrick Lucey2, and Sujoy Ganguly2 BAIR, UC Berkeley STATS {plucey," -34b6466e3e69547f6d464ad6b5660b1e629a5c35,Similar and Class Based Image Retrieval Using Hash Code,"IJCSNS International Journal of Computer Science and Network Security, VOL.15 No.3, March 2015 -Similar and Class Based Image Retrieval Using Hash Code -B.Bharathi 1, Nagarjuna Reddy Akkim2 -Faculty of computing, Sathyabama University, Chennai, India -Introduction" 3468740e4a9fc72a269f4f0ca8470ccd60925f92,Robustness Analysis of Visual QA Models by Basic Questions,"Robustness Analysis of Visual QA Models by Basic Questions Jia-Hong Huang Bernard Ghanem @@ -30063,22 +25616,6 @@ Atlanta, GA, USA Duen Horng (Polo) Chau Georgia Tech Atlanta, GA, USA" -341633ccce0f8c055dfc633765d905c269e28f82,Collaborative Representation for Face Recognition based on Bilateral Filtering,"Collaborative Representation for Face -Recognition based on Bilateral Filtering -Rokan Khaji1, Hong Li2, Ramadan Abdo Musleh3, Hongfeng Li4, Qabas Ali5 -School of Mathematics and Statistics, -Huazhong University of Science & Technology , Wuhan, 430074, China -Department of Mathematics, College of Science, Diyala University, Diyala, 32001 ,Iraq -,3,4School of Mathematics and Statistics, -Huazhong University of Science & Technology , Wuhan, 430074, China -5Department of Electronics and Information Engineering, -Huazhong University of Science & Technology , Wuhan, 430074, China." -34b4f264578fc674dd2bf8d478ec1314739a5629,3D Novel Face Sample Modeling for Face Recognition,"D Novel Face Sample Modeling for Face -Recognition -Yun Ge, Yanfeng Sun, Baocai Yin, Hengliang Tang -Beijing Key Laboratory of Multimedia and Intelligent Software Technology -College of Computer Science and Technology, BJUT, Beijing, China -Email:" 34d15fea236612e9df10e4c7a25ca31c0d95edd1,Biases in spatial bisection induced by viewing male and female faces.,"Research Article Biases in Spatial Bisection Induced y Viewing Male and Female Faces @@ -30163,16 +25700,6 @@ Barbara Ruggeri & Ugis Sarkans & Gunter Schumann & Antonio M. Persico Received: 15 April 2013 /Accepted: 7 September 2013 # Springer-Verlag Berlin Heidelberg 2013" -34b124ecdc3471167cea1675a74a0232a881bc69,Infrared face recognition based on LBP co-occurrence matrix,"Int. J. Wireless and Mobile Computing, Vol. 8, No. 1, 2015 -Infrared face recognition based on LBP -o-occurrence matrix and partial least squares -Zhihua Xie and Guodong Liu* -Key Lab of Optic-Electronic and Communication, -Jiangxi Sciences and Technology Normal University, -Nanchang, China -Email: -Email: -*Corresponding author" 34f8086eb67eb2cd332cd2d6bca0dd8f1e8f1062,Face Recognition and Growth Prediction using a 3 D Morphable Face Model,"Saarland University Faculty of Natural Sciences and Technology I Department of Computer Science @@ -30237,11 +25764,6 @@ of New York The Graduate Center, City University Hunter College, City University of The Graduate Center, City University" -3447fc311a3adf60d36283b51c1a1e0d3be7416c,A Generic Framework for Efficient 2-D and 3-D Facial Expression Analogy,"A Generic Framework for Ef(cid:2)cient 2D and 3D -Facial Expression Analogy -Mingli Song, Member, IEEE, Zhao Dong*, Student Member, IEEE, -Christian Theobalt, Member, IEEE, Huiqiong Wang, Zicheng Liu, Senior Member, IEEE and -Hans-Peter Seidel, Senior Member, IEEE" 34d484b47af705e303fc6987413dc0180f5f04a9,RI : Medium : Unsupervised and Weakly-Supervised Discovery of Facial Events 1,"RI:Medium: Unsupervised and Weakly-Supervised Discovery of Facial Events Introduction @@ -30323,9 +25845,6 @@ L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de" -347ce37f15cea5bb8d0a676562664f80e3609b78,Pixel Objectness: Learning to Segment Generic Objects Automatically in Images and Videos,"Pixel Objectness: Learning to Segment Generic -Objects Automatically in Images and Videos -Bo Xiong∗, Suyog Dutt Jain∗, and Kristen Grauman, Member, IEEE" 34df09a9445089c8f23eff5b2a43a822c9713f6e,Boosting chamfer matching by learning chamfer distance normalization,"Boosting Chamfer Matching by Learning Chamfer Distance Normalization Tianyang Ma, Xingwei Yang, and Longin Jan Latecki @@ -30377,33 +25896,7 @@ email: {jamalad," Generating Textual Adversarial Examples for Deep Learning Models: A Survey Wei Emma Zhang, Quan Z. Sheng, Ahoud Abdulrahmn F Alhazmi, and Chenliang Li" -881066ec43bcf7476479a4146568414e419da804,From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips,"From Traditional to Modern : Domain Adaptation for -Action Classification in Short Social Video Clips -Aditya Singh, Saurabh Saini, Rajvi Shah, and P J Narayanan -Center for Visual Information Technology, IIIT Hyderabad, India" -88502625b546607f4992085a313dab1ceb68e4d7,A New Technique using Cubic Curves and Hamming Distance to Detect Human Emotions,"www.ijemr.net -ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 -Volume-7, Issue-4, July-August 2017 -International Journal of Engineering and Management Research -Page Number: 17-22 -A New Technique using Cubic Curves and Hamming Distance to Detect -Human Emotions -R. Neela1, M. Jayasri2 -Department of Computer Science, AVC College (Autonomous), Mannampandal, INDIA -M.Phil. Research Scholar, Department of Computer Science, AVC College (Autonomous), Mannampandal, INDIA" 8855d6161d7e5b35f6c59e15b94db9fa5bbf2912,COGNITION IN PREGNANCY AND THE POSTPARTUM PERIOD,COGNITION IN PREGNANCY AND THE POSTPARTUM PERIOD -88f5f9d92c4fa696457a824c3eec204da05ba6a4,XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings,"XGAN: Unsupervised Image-to-Image -Translation for Many-to-Many Mappings -Am´elie Royer1[0000−0002−8407−0705], Konstantinos Bousmalis2,6, Stephan -Gouws2, Fred Bertsch3, Inbar Mosseri4, Forrester Cole4, and Kevin Murphy5 -IST Austria, 3400 Klosterneuburg, Austria -Work done while at Google Brain London, UK -Google Brain, London, UK -{konstantinos, -Google Brain, Mountain View, USA -Google Research, Cambridge, USA -5 Google Research, Mountain View, USA -6 Currently at Deepmind, London, UK" 88850b73449973a34fefe491f8836293fc208580,XBeats-An Emotion Based Music Player,"www.ijaret.org Vol. 2, Issue I, Jan. 2014 ISSN 2320-6802 INTERNATIONAL JOURNAL FOR ADVANCE RESEARCH IN @@ -30438,9 +25931,6 @@ Department of Computing, Curtin University of Technology, WA 6845, Australia" 8813368c6c14552539137aba2b6f8c55f561b75f,Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition,"Trunk-Branch Ensemble Convolutional Neural Networks for Video-based Face Recognition Changxing Ding, Student Member, IEEE, Dacheng Tao, Fellow, IEEE" -889bc64c7da8e2a85ae6af320ae10e05c4cd6ce7,Using Support Vector Machines to Enhance the Performance of Bayesian Face Recognition,"Using Support Vector Machines to Enhance the -Performance of Bayesian Face Recognition -Zhifeng Li, Member, IEEE, and Xiaoou Tang, Senior Member, IEEE" 8897dd825230695a8a669b29a4d1b284373adb31,Face Recognition using Co-occurrence Matrix of Local Average Binary Pattern ( CMLABP ),"Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications (JSAT), April Edition, 2012 Face Recognition using Co-occurrence Matrix of Local Average Binary Pattern (CMLABP) @@ -30523,15 +26013,6 @@ Jingdong Wang† Xian-Sheng Hua‡ Shipeng Li† Microsoft Corporation Microsoft Research Asia August 10, 2012" -88909ec19d2c6750f836e8b9c15ee3e1236b37e7,Local Learning with Deep and Handcrafted Features for Facial Expression Recognition,"Local Learning with Deep and Handcrafted Features -for Facial Expression Recognition -Mariana-Iuliana Georgescu1,2 -Radu Tudor Ionescu1,3 -Marius Popescu1,3 -University of Bucharest, 14 Academiei, Bucharest, Romania -Novustech Services, 12B Aleea Ilioara, Bucharest, Romania -SecurifAI, 21D Mircea Vod˘a, Bucharest, Romania -georgescu" 88e3aefe454e72388bbbe7dfa0b74fcfc52032f0,Weighted Gradient Feature Extraction Based on Multiscale Sub-Blocks for 3D Facial Recognition in Bimodal Images,"Article Weighted Gradient Feature Extraction Based on Multiscale Sub-Blocks for 3D Facial Recognition in @@ -30551,14 +26032,6 @@ Heechul Jung† Sihaeng Lee† Sunjeong Park† Korea Advanced Institute of Science and Technology† Electronics and Telecommunications Research Institute‡ {heechul, haeng, sunny0414, {ninja," -88a37a05024ef3390e2f1b67fb3637d1c8bbddb3,Home Theft Detection and Recognition Using ROI and PCA Technique,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611 -Home Theft Detection and Recognition Using ROI -nd PCA Technique -Ram Singh1, Ashok Kumar Bathla2 -Research scholar, CE Department, YCOE, Punjabi University, Patiala, India -Assistant Professor, CE Department, YCOE, Punjabi University, Patiala, India" 883006c0f76cf348a5f8339bfcb649a3e46e2690,Weakly supervised pain localization using multiple instance learning,"Weakly Supervised Pain Localization using Multiple Instance Learning Karan Sikka, Abhinav Dhall and Marian Bartlett" 8816ee1e23983f5a4340743c7744a336fae02d60,Face Recognition Using Boosted Local Features,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES @@ -30581,47 +26054,8 @@ Belo Horizonte, Brazil" D Human Face Reconstruction Using a Hybrid of Photometric Stereo and Independent Component Analysis *Cheng-Jian Lin, 2Shyi-Shiun Kuo, 1Hsueh-Yi Lin, 2Shye-Chorng Kuo and 1Cheng-Yi Yu" -507660f778fe913f6e1957fe39a87cbf50a52b2e,Sparse Camera Network for Visual Surveillance -- A Comprehensive Survey,"Sparse Camera Network for Visual -Surveillance – A Comprehensive Survey -Mingli Song, Member, IEEE, Dacheng Tao, Senior Member, IEEE, -nd Stephen J. Maybank, Fellow, IEEE" -500993a8852f766d4bac7b5039b9072b587e4d09,HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks,"PARK, LI, KIM: HARRISON: A BENCHMARK FOR IMAGE HASHTAG RECOMMENDATION1 -HARRISON: A Benchmark on HAshtag -Recommendation for Real-world Images in -SOcial Networks -School of Electrical Engineering -KAIST -South Korea -Minseok Park -Hanxiang Li -Junmo Kim" -50074af3edde8b12d5131339cc2c3b089fa5d8f1,Face Recognition Using Wavelet Transforms,"ISSN (Print) : 2320 – 3765 -ISSN (Online): 2278 – 8875 -International Journal of Advanced Research in Electrical, -Electronics and Instrumentation Engineering -(An ISO 3297: 2007 Certified Organization) -Vol. 3, Issue 1, January 2014 -Face Recognition Using Wavelet Transforms -Nikhila S 1, Pavitha U S 2, Krutthika H K 3 -Assistant Professor, Dept. of Instrumentation, Dayananda Sagar College of Engineering, Bangalore, India -Assistant Professor, Dept. of Instrumentation, Dayananda Sagar College of Engineering, Bangalore, India -Assistant Professor, Dept. of E&C, Dayananda Sagar College of Engineering, Bangalore, India" -50ff21e595e0ebe51ae808a2da3b7940549f4035,Age Group and Gender Estimation in the Wild With Deep RoR Architecture,"IEEE TRANSACTIONS ON LATEX CLASS FILES, VOL. XX, NO. X, AUGUST 2017 -Age Group and Gender Estimation in the Wild with -Deep RoR Architecture -Ke Zhang, Member, IEEE, Ce Gao, Liru Guo, Miao Sun, Student Member, IEEE, Xingfang Yuan, Student -Member, IEEE, Tony X. Han, Member, IEEE, Zhenbing Zhao, Member, IEEE and Baogang Li" 50bf792c721293222248f906e95726ac2ac2fe9e,Characterising Pedestrian Detection on a Heterogeneous Platform,"Characterising Pedestrian Detection on a Heterogeneous Platform Calum Blair1, Neil Robertson2 and Danny Hume3" -5042b358705e8d8e8b0655d07f751be6a1565482,"- 9359 ( Volume-4 , Issue-8 ) Review on Emotion Detection in Image","International Journal of -Emerging Research in Management &Technology -ISSN: 2278-9359 (Volume-4, Issue-8) -Research Article -August -Review on Emotion Detection in Image -Aswinder Kaur* Kapil Dewan -CSE & PCET, PTU HOD, CSE & PCET, PTU -Punjab, India Punj ab, India" 50a48fcd6176b72aea7a61233d3c7fb12a279ba4,A Computational Model of Eye Movements during Object Class Detection,"A Computational Model of Eye Movements during Object Class Detection Wei Zhang† @@ -30632,26 +26066,6 @@ Dept. of Computer Science† Dept. of Psychology‡ State University of New York at Stony Brook Stony Brook, NY 11794" -50188f3b8d63e196af9ad156e8ff127e060d0aef,Metadata of the chapter that will be visualized in SpringerLink,"Metadata of the chapter that will be visualized in -SpringerLink -Neural Information Processing -Finger-Vein Quality Assessment by Representation Learning from Binary Images -Springer International Publishing Switzerland -Family Name -Particle -Given Name -Prefix -Suffix -Division -Huafeng -Chongqing Engineering Laboratory of Detection Control and Integrated -System -Chongqing Technology and Business University -Chongqing, 400067, China -Department of EPH -Telecom-SudParis -91011, Paris, Evry Cedex, France -El-Yacoubi" 50c1ab22f442470efbe3198f0b338fb699416bc5,A Commute in Data: The comma2k19 Dataset,"A Commute in Data: The comma2k19 Dataset Harald Sch¨afer, Eder Santana, Andrew Haden, and Riccardo Biasini omma.ai" @@ -30871,13 +26285,6 @@ DECEMBER 2011" nd Pose Dictionary Anonymous ECCV submission Paper ID 895" -50e5dd45a94a56cb973e51dc3347e621266db7e4,3 D Face Recognition Using Concurrent Neural Modules,"D Face Recognition Using Concurrent Neural Modules -VICTOR-EMIL NEAGOE , IONUT MITRACHE, AND DANIEL CARAUSU -Depart. Electronics, Telecommunications & Information Technology -Polytechnic University of Bucharest -Splaiul Independentei No. 313, Sector 6, Bucharest -ROMANIA -Email:" 508eb5a6156b8fa1b4547b611e85969438116fa2,Perceptual Generative Adversarial Networks for Small Object Detection,"Perceptual Generative Adversarial Networks for Small Object Detection Jianan Li Xiaodan Liang Yunchao Wei Tingfa Xu @@ -30953,14 +26360,6 @@ bide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer ontent complies with UK legislation. If you believe that the public display of this file breaches copyright please" -1cdf8790a675037579bbe2ee4f39f731f7672fae,Pivot Correlational Neural Network for Multimodal Video Categorization,"Pivot Correlational Neural Network for -Multimodal Video Categorization -Sunghun Kang1[0000−0003−2632−7522], Junyeong Kim1[0000−0002−7871−9627], -Hyunsoo Choi2, Sungjin Kim2, and Chang D. Yoo1 -KAIST, Daejeon, South Korea -{sunghun.kang, junyeong.kim, -SAMSUNG ELECTRONICS CO.,LTD, Seoul, South Korea -{hsu.choi," 1cbc189a4484cd2b1371798bae2ff50c0442ce60,A Hybrid Loss for Multiclass and Structured Prediction,"IEEE TRANSACTIONS ON PATTERN ANALYSIS & MACHINE INTELLIGENCE, FINAL DRAFT, FEB. 2014 A Hybrid Loss for Multiclass nd Structured Prediction @@ -30974,30 +26373,6 @@ Language Acquisition in Virtual Environment Haonan Yu, Haichao Zhang, and Wei Xu Baidu Research - Institue of Deep Learning Sunnyvale, CA 94089" -1c7e1248ce254b3a9a0b6fef9e37d37620fc8aa3,Dynamic Image-to-Class Warping for Occluded Face Recognition,"Dynamic Image-to-Class Warping for Occluded -Face Recognition -Xingjie Wei, Chang-Tsun Li, Senior Member, IEEE, Zhen Lei, Member, IEEE, -Dong Yi, and Stan Z. Li, Fellow, IEEE" -1ce4587e27e2cf8ba5947d3be7a37b4d1317fbee,Deep fusion of visual signatures for client-server facial analysis,"Deep fusion of visual signatures -for client-server facial analysis -Binod Bhattarai -Normandie Univ, UNICAEN, -ENSICAEN, CNRS, GREYC -Gaurav Sharma -Computer Sc. & Engg. -IIT Kanpur, India -Frederic Jurie -Normandie Univ, UNICAEN, -ENSICAEN, CNRS, GREYC -Facial analysis is a key technology for enabling human- -machine interaction. -In this context, we present a client- -server framework, where a client transmits the signature of -face to be analyzed to the server, and, in return, the server -sends back various information describing the face e.g. is the -person male or female, is she/he bald, does he have a mus- -tache, etc. We assume that a client can compute one (or a -ombination) of visual features; from very simple and ef‌f‌i-" 1cb95f013ec3e78acdda6ac6cfdb362ae6a5ceac,Nonnegative matrix factorization for segmentation analysis,"Nonnegative matrix factorization for segmentation analysis Roman Sandler @@ -31011,10 +26386,6 @@ Huijuan Xu UMass Lowell Kate Saenko UMass Lowell" -1cdff2cd2e3cf8dbeb8f0a42df0cdc77c953dc81,The Emergence of Visual Crowdsensing: Challenges and Opportunities,"The Emergence of Visual Crowdsensing: -Challenges and Opportunities -Bin Guo, Senior Member, IEEE, Qi Han,Member, IEEE , Huihui Chen, Longfei Shangguan, Member, IEEE, -Zimu Zhou, Member, IEEE, and Zhiwen Yu, Senior Member, IEEE" 1ce3a91214c94ed05f15343490981ec7cc810016,Exploring photobios,"Exploring Photobios Ira Kemelmacher-Shlizerman1 Eli Shechtman2 @@ -31031,13 +26402,6 @@ Moustapha Cisse Facebook AI Research Natalia Neverova* Facebook AI Research" -1cf01968594ae59d28b12c9a35fc43d944563071,Low-Level Features for Image Retrieval Based on Extraction of Directional Binary Patterns and Its Oriented Gradients Histogram,"Computer Applications: An International Journal (CAIJ), Vol.2, No.1, February 2015 -LOW-LEVEL FEATURES FOR IMAGE RETRIEVAL BASED -ON EXTRACTION OF DIRECTIONAL BINARY PATTERNS -AND ITS ORIENTED GRADIENTS HISTOGRAM -Nagaraja S. and Prabhakar C.J. -Department of P.G. Studies and Research in Computer Science -Kuvempu University, India" 1cd584f519d9cd730aeef1b1d87f7e2e82b4de59,A fully automatic face recognition system using a combined audio-visual approach ∗,"A fully automatic face recognition system using a combined udio-visual approach ∗ Alberto Albiol†, Luis Torres†, and Edward J. Delp? † @@ -31072,31 +26436,6 @@ AVCOE Sangamner" Hierarchical Adaptive Structural SVM for Domain Adaptation Jiaolong Xu · Sebastian Ramos · David V´azquez · Antonio M. L´opez Received: date / Accepted: date" -1c9da6cef6b1be9c116b26dd52c341c0adcf7db2,Interactive Perception: Leveraging Action in Perception and Perception in Action,"Interactive Perception: Leveraging Action in -Perception and Perception in Action -Jeannette Bohg*, Member, IEEE, Karol Hausman*, Student Member, IEEE, Bharath Sankaran*, Student -Member, IEEE, Oliver Brock, Senior Member, IEEE, Danica Kragic, Fellow, IEEE, Stefan Schaal, Fellow, IEEE, -nd Gaurav Sukhatme, Fellow, IEEE" -1c3ec6379ba664d52d250ac1647d379ec970fa5c,Object proposal by multi-branch hierarchical segmentation,"Object Proposal by Multi-branch Hierarchical Segmentation -Chaoyang Wang1,3, Long Zhao2,3, Shuang Liang2, Liqing Zhang1, Jinyuan Jia2, Yichen Wei3 -Shanghai Jiao Tong University. 2Tongji University. 3Microsoft Research. -Segmentation based object proposal methods [1, 2, 5, 6, 8] have become an -important step in modern object detection paradigm. Among those, hierar- -hical segmentation is favorable for its ability to capture objects of all scales -nd has fast implementation such as hierarchical greedy merging [6, 8]. -However, single-way hierarchical greedy merging is fundamentally flawed -in that the errors in early steps of greedy merging cannot be corrected and -ccumulate. -In this work, we propose a novel multi-branch hierarchical -segmentation approach that alleviates such problems by learning multiple -merging strategies in each step in a complementary manner, such that errors -in one merging strategy could be corrected by the others. This approach -turns the original hierarchical greedy merging’s sequential evolution struc- -ture into a tree-like structure. As illustrated in Fig. 1, different merging -strategies are tried throughout the greedy merging process, which we call -ranching. Objects, especially large and complex ones will get a better -hance to be detected in one of those tree branches. -To make our multi-branched hierarchical segmentation effective, we ad-" 1c3073b57000f9b6dbf1c5681c52d17c55d60fd7,Direction de thèse:,"THÈSEprésentéepourl’obtentiondutitredeDOCTEURDEL’ÉCOLENATIONALEDESPONTSETCHAUSSÉESSpécialité:InformatiqueparCharlotteGHYSAnalyse,Reconstruction3D,&AnimationduVisageAnalysis,3DReconstruction,&AnimationofFacesSoutenancele19mai2010devantlejurycomposéde:Rapporteurs:MajaPANTICDimitrisSAMARASExaminateurs:MichelBARLAUDRenaudKERIVENDirectiondethèse:NikosPARAGIOSBénédicteBASCLE" 1ca155a4b65ae19ccb73df48516e4775770a382c,Action Representations in Robotics: A Taxonomy and Systematic Classification,"Action representations in robotics: A taxonomy and systematic classification @@ -31114,10 +26453,6 @@ Supervision Yalong Jiang1 1Department of Electronic and Information Engineering Zheru Chi1 The Hong Kong Polytechnic University, HK" -1cc3c5f242d885738e9349a91d4beba82ae106a6,Scalable nonconvex inexact proximal splitting,"Scalable nonconvex inexact proximal splitting -Suvrit Sra -Max Planck Institute for Intelligent Systems -72076 T¨ubigen, Germany" 1c40cb899fccbe98a2bb63088e02d6c59e87c187,An Interaction Framework for a Cooperation between Fully Automated Vehicles and External Users in Semi-stationary Urban Scenarios, 1c521ac6e68436f6c6aad3c0eb7ffa557fe25b0d,Modeling Image Patches with a Generic Dictionary of Mini-epitomes,"Modeling Image Patches with a Generic Dictionary of Mini-Epitomes George Papandreou @@ -31126,11 +26461,6 @@ Liang-Chieh Chen UC Los Angeles Alan L. Yuille UC Los Angeles" -1cb68fa98a0d9871a394cd0035488df167b9c2cf,RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation,"RedNet: Residual Encoder-Decoder Network for -indoor RGB-D Semantic Segmentation -Jindong Jiang, Lunan Zheng, Fei Luo, and Zhijun Zhang -The School of Automation Science and Engineering, South China University of -Technology, Guangzhou 510640, China" 1cf29a0131211079fc73908ecf211ee78f090ad9,Regionlets for Generic Object Detection,"Regionlets for Generic Object Detection Xiaoyu Wang Ming Yang Shenghuo Zhu @@ -31177,26 +26507,6 @@ Detection stream horse 0.04 0.01 0.07 0.88 person 0.02 0.03 0.91 0.04" -1ca40e1d0ae377296ac6804c81c1e5bcbc5475c8,RVM-Based Human Action Classification in Crowd through Projection and Star Skeletonization,"Hindawi Publishing Corporation -EURASIP Journal on Image and Video Processing -Volume 2009, Article ID 164019, 12 pages -doi:10.1155/2009/164019 -Research Article -RVM-Based Human Action Classification in Crowd through -Projection and Star Skeletonization -B. Yogameena, S. Veeralakshmi, E. Komagal, S. Raju, and V. Abhaikumar -Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, -Madurai 625015, Tamil Nadu, India -Correspondence should be addressed to B. Yogameena, -Received 1 February 2009; Revised 17 May 2009; Accepted 26 August 2009 -Recommended by Amit Roy-Chowdhury -Detection of abnormal human actions in the crowd has become a critical problem in video surveillance applications like terrorist -ttacks. This paper proposes a real-time video surveillance system which is capable of classifying normal and abnormal actions of -individuals in a crowd. The abnormal actions of human such as running, jumping, waving hand, bending, walking and fighting -with each other in a crowded environment are considered. In this paper, Relevance Vector Machine (RVM) is used to classify -the abnormal actions of an individual in the crowd based on the results obtained from projection and skeletonization methods. -Experimental results on benchmark datasets demonstrate that the proposed system is robust and ef‌f‌icient. A comparative study of -lassification accuracy between Relevance Vector Machine and Support Vector Machine (SVM) classification is also presented." 1cc0183d8fbef098d29b6b5f621745ff099f6c6c,Joint Discovery of Object States and Manipulation Actions,"Joint Discovery of Object States and Manipulation Actions Jean-Baptiste Alayrac∗ † Josef Sivic∗ † ‡ @@ -31282,24 +26592,6 @@ scientifiques de niveau recherche, publi´es ou non, Annotation: A Generative Adversarial Network Approach Avisek Lahiri*, Vineet Jain*, Arnab Mondal*, and Prabir Kumar Biswas, Senior Member, IEEE" -45c4514ca2b7903b4c8f43e396bce73f014b72be,Parallel Feature Extraction through Preserving Global and Discriminative Property for Kernel-Based Image Classification,"Journal of Information Hiding and Multimedia Signal Processing -Ubiquitous International -(cid:13)2015 ISSN 2073-4212 -Volume 6, Number 5, September 2015 -Parallel Feature Extraction through Preserving -Global and Discriminative Property for Kernel-Based -Image Classification -Xun-Fei Liu, and Xiang-Xian Zhu -Department of Electrical Engineering -Suzhou Institute of Industrial Technology -Suzhou, 215104, China -Received May, 2015; revised June, 2015" -45bedfcb562e48a64436ea3131bc91098eb93dab,Incremental update of biometric models in face-based video surveillance,"Incremental Update of Biometric Models in -Face-Based Video Surveillance -Miguel De-la-Torre∗†, Eric Granger∗, Paulo V. W. Radtke∗, Robert Sabourin∗, Dmitry O. Gorodnichy‡ -´Ecole de technologie sup´erieure, Montr´eal, Canada -Centro Universitario de Los Valles, Universidad de Guadalajara, Ameca, M´exico -Science and Engineering Directorate, Canada Border Services Agency, Ottawa, Canada" 4583d7d1d76dfe18e86e91f7438ce1a03cdcf68f,3D Face: biometric template protection for 3d face recognition,"\3D Face"": Biometric Template Protection for D Face Recognition E.J.C. Kelkboom, B. G(cid:127)okberk, T.A.M. Kevenaar, A.H.M. Akkermans, and M. @@ -31367,12 +26659,6 @@ Authors: Filani Araoluwa S., Adetunmbi Adebayo O. 10.5120/ijca2016907932 {bibtex}2016907932.bib{/bibtex}" -45e2aa7706fcedcbb2d93304a9824fe762b8b3b0,DAC-SDC Low Power Object Detection Challenge for UAV Applications,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2018 -DAC-SDC Low Power Object Detection -Challenge for UAV Applications -Xiaowei Xu, Member, IEEE, Xinyi Zhang, Student Member, IEEE, Bei Yu, Senior Member, IEEE, Xiaobo -Sharon Hu, Fellow, IEEE, Christopher Rowen, Fellow, IEEE, Jingtong Hu, Member, IEEE, and Yiyu -Shi, Senior Member, IEEE" 4560491820e0ee49736aea9b81d57c3939a69e12,Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications,"Investigating the Impact of Data Volume and Domain Similarity on Transfer Learning Applications @@ -31390,11 +26676,6 @@ Armine Vardazaryan1, Didier Mutter2, Jacques Marescaux2, and Nicolas Padoy1 ICube, University of Strasbourg, CNRS, IHU Strasbourg, France University Hospital of Strasbourg, IRCAD, IHU Strasbourg, France" -459e840ec58ef5ffcee60f49a94424eb503e8982,One-shot Face Recognition by Promoting Underrepresented Classes,"One-shot Face Recognition by Promoting Underrepresented Classes -Yandong Guo, Lei Zhang -Microsoft -One Microsoft Way, Redmond, Washington, United States -{yandong.guo," 453e311c6de1285cd5ea6d93fd78a636eac0ba82,Multi patches 3D facial representation for person authentication using AdaBoost,"Multi patches 3D facial representation for Person Authentication using AdaBoost Lahoucine Ballihi, Boulbaba Ben Amor, Mohamed Daoudi, Anuj Srivastava @@ -31415,20 +26696,6 @@ broad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non," -455943924a98593655ae7197ee3835b9f6a3b778,Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning,"Visual SLAM for Automated Driving: -Exploring the Applications of Deep Learning -Stefan Milz, Georg Arbeiter, Christian Witt -Valeo Schalter und Sensoren GmbH -Bassam Abdallah -Valeo Vision, Bobigny -stefan.milz, georg.arbeiter, -Senthil Yogamani -Valeo Vision Systems, Ireland" -4562272025a5bcdb321408116c699798a7997847,Leveraging RGB-D Data: Adaptive fusion and domain adaptation for object detection,"Leveraging RGB-D Data: Adaptive Fusion and -Domain Adaptation for Object Detection -Luciano Spinello and Kai O. Arras -Social Robotics Lab, University of Freiburg, Germany -{spinello," 4534d78f8beb8aad409f7bfcd857ec7f19247715,Transformation-Based Models of Video Sequences,"Under review as a conference paper at ICLR 2017 TRANSFORMATION-BASED MODELS OF VIDEO SEQUENCES @@ -31614,13 +26881,7 @@ Stefan K¨onig∗" Levodopa-Induced Dyskinesia with Deep Learning Pose Estimation Michael H. Li, Tiago A. Mestre, Susan H. Fox, Babak Taati*" -457abee61182a320b301d73ecceff00d055f596e,Face Recognition Using Line Edge Map,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 6, -JUNE 2002 -Face Recognition Using Line Edge Map -Yongsheng Gao, Member, IEEE, and Maylor K.H. Leung, Member, IEEE" 458713d5c1dd8ff95865302e51f0f8df22204d91,ON FACE RECOGNITION USING DIFFERENT PRE-PROCESSING METHODS IN IMAGES CAPTURED UNDER VARIOUS ILLUMINATION AND POSING CONDITIONS, -454ec30d0a491800458a52a5aa655eb76a28f4f5,3-D Object Recognition Using 2-D Views,"-D Object Recognition Using 2-D Views -Wenjing Li, Member, IEEE, George Bebis, Member, IEEE, and Nikolaos G. Bourbakis, Fellow, IEEE" 45ae4c0cdc2df02c278995623b2e25ae5cc4c91f,Visual Search for Musical Performances and Endoscopic Videos,"Visual Search for Musical Performances nd Endoscopic Videos @@ -31666,9 +26927,6 @@ National Institute of Technology, Toyota College, Japan Correspondence: Taichi Hayasaka, Department of Information and Computer Engineering, National Institute of Technology, Toyota College, 2-1 Eisei, Toyota-shi, Aichi, 471-8525 Japan, E-mail: phone +81 565 36 5861, fax +81 565 36 5926" -2bbb772332a90b2aba893f7467daa76b373be240,Extracting 3D Layout From a Single Image Using Global Image Structures,"Extracting 3D Layout From a Single Image -Using Global Image Structures -Zhongyu Lou, Theo Gevers, Member, IEEE, and Ninghang Hu" 2bdc0c79b26fed51bc2af1af16117879ee3f571e,Augmented Multitouch Interaction upon a 2-DOF Rotating Disk,"Augmented Multitouch Interaction upon a 2-DOF Rotating Disk Xenophon Zabulis, Panagiotis Koutlemanis, and Dimitris Grammenos @@ -31678,9 +26936,6 @@ Herakleion, Crete, Greece" Krishnam Gupta1, Syed Ashar Javed2, Vineet Gandhi2 and K. Madhava Krishna2 evidences is more likely to perform the task better. Recent efforts [3] on multi modal fusion also suggests likewise." -2b9082b6b5266f6f7d7a95892f30cc84138697e5,Video Person Re-Identification by Temporal Residual Learning,"Video Person Re-identification by Temporal -Residual Learning -Ju Dai∗, Pingping Zhang∗, Huchuan Lu, Senior Member, IEEE, and Hongyu Wang, Member, IEEE" 2bfb43cb0e72aaa7aff71007bb420df2c9ae4375,Deep Attentional Structured Representation Learning for Visual Recognition,": DEEP ATTENTIONAL STRUCTURED REPRESENTATION LEARNING Deep Attentional Structured Representation Learning for Visual Recognition @@ -31817,27 +27072,6 @@ http://lear.inrialpes.fr/people/schmid LEAR - INRIA Grenoble, LJK 655, avenue de l’Europe 8330 Montbonnot, France" -2bb968e8f9df0fa72dd72e5d705ea7b75af8dcd7,Fast Support Vector Classifier for automated content-based search in video surveillance,"Fast Support Vector Classifier for Automated -Content-based Search in Video Surveillance -Cătălin A. Mitrea1, Ionuț Mironică1, Bogdan Ionescu1,2, Radu Dogaru1 -LAPI & Natural Computing Labs, University “Politehnica” of Bucharest, 061971, Romania -LISTIC, University Savoie Mont Blanc, 74940 Annecy-le-Vieux, France -Email: -for multiple-instance human retrieval" -2bbbbe1873ad2800954058c749a00f30fe61ab17,Face Verification across Ages Using Self Organizing Map,"ISSN(Online): 2320-9801 -ISSN (Print): 2320-9798 -International Journal of Innovative Research in Computer and Communication Engineering -(An ISO 3297: 2007 Certified Organization) -Vol.2, Special Issue 1, March 2014 -Proceedings of International Conference On Global Innovations In Computing Technology (ICGICT’14) -Organized by -Department of CSE, JayShriram Group of Institutions, Tirupur, Tamilnadu, India on 6th & 7th March 2014 -Face Verification across Ages Using Self -Organizing Map -B.Mahalakshmi1, K.Duraiswamy2, P.Gnanasuganya3, P.Aruldhevi4, R.Sundarapandiyan5 -Associate Professor, Department of CSE, K.S.Rangasamy College of Technology, Namakkal, TamilNadu, India1 -Dean, K.S.Rangasamy College of Technology, Namakkal, TamilNadu, India2 -B.E, Department of CSE, K.S.Rangasamy College of Technology, Namakkal, TamilNadu, India3, 4, 5" 2b3fe9a0356eaf50f1340dda3f3d14f6904905ec,Taking advantage of sensor modality specific properties in Automated Driving Extended Abstract,"Taking advantage of sensor modality specific properties in Automated Driving" 2badc4c87a7751dd5ae1797bc4091d10d1acf442,Multimodal Retrieval with Asymmetrically Weighted Regularized Canonical Correla- Tion Analysis,"Under review as a conference paper at ICLR 2016 @@ -31847,11 +27081,6 @@ TION ANALYSIS Youssef Mroueh, Etienne Marcheret, Vaibhava Goel Multimodal Algorithms and Engines Group IBM T.J Watson Research Center, USA" -2ba7c88a7e96d412c116d6bea4ba27be2ed4dd48,CocoNet: A deep neural network for mapping pixel coordinates to color values,"CocoNet: A Deep Neural Network for Mapping -Pixel Coordinates to Color Values -Paul Andrei Bricman1 and Radu Tudor Ionescu2 -George Co¸sbuc National College, 29-31 Olari, Bucharest, Romania, -University of Bucharest, 14 Academiei, Bucharest, Romania" 2b8667df1a0332386d8d799fbac0327496ce02c9,Stranger danger : Parenthood increases the envisioned bodily formidability of menacing men ☆,"Evolution and Human Behavior 35 (2014) 109–117 Contents lists available at ScienceDirect Evolution and Human Behavior @@ -31877,31 +27106,6 @@ density estimation from space Andres C. Rodriguez and Jan D. Wegner ETH Zurich, Stefano-franscini-platz 5 8093 Zurich, Switzerland Accepted at GCPR 2018" -2b4d092d70efc13790d0c737c916b89952d4d8c7,Robust Facial Expression Recognition using Local Haar Mean Binary Pattern,"JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 32, XXXX-XXXX (2016) -Robust Facial Expression Recognition using Local Haar -Mean Binary Pattern -MAHESH GOYANI1, NARENDRA PATEL2 -,2 Department of Computer Engineering -Charotar University of Science and Technology, Changa, India -Gujarat Technological University, V.V.Nagar, India -E-mail: -In this paper, we propose a hybrid statistical feature extractor, Local Haar Mean Bina- -ry Pattern (LHMBP). It extracts level-1 haar approximation coefficients and computes Local -Mean Binary Pattern (LMBP) of it. LMBP code of pixel is obtained by weighting the -thresholded neighbor value of 3  3 patch on its mean. LHMBP produces highly discrimina- -tive code compared to other state of the art methods. To localize appearance features, ap- -proximation subband is divided into M  N regions. LHMBP feature descriptor is derived -y concatenating LMBP distribution of each region. We also propose a novel template -matching strategy called Histogram Normalized Absolute Difference (HNAD) for histogram -ased feature comparison. Experiments prove the superiority of HNAD over well-known -template matching techniques such as L2 norm and Chi-Square. We also investigated -LHMBP for expression recognition in low resolution. The performance of the proposed ap- -proach is tested on well-known CK, JAFFE, and SFEW facial expression datasets in diverse" -2b4d40ef1610500c207f166e9a5b55dbfe234045,A New Biased Discriminant Analysis Using Composite Vectors for Eye Detection,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 42, NO. 4, AUGUST 2012 -A New Biased Discriminant Analysis Using -Composite Vectors for Eye Detection -Chunghoon Kim, Member, IEEE, Sang-Il Choi, Member, IEEE, -Matthew Turk, Senior Member, IEEE, and Chong-Ho Choi, Member, IEEE" 2b507f659b341ed0f23106446de8e4322f4a3f7e,Deep Identity-aware Transfer of Facial Attributes,"Deep Identity-aware Transfer of Facial Attributes Mu Li1, Wangmeng Zuo2, David Zhang1 The Hong Kong Polytechnic University 2Harbin Institute of Technology" @@ -32055,10 +27259,6 @@ What Works .3 Reconstruction, Localization, Navigation, and Visual SLAM .4 Object Recognition" -469d249a40639d4ffb62abfb2c25f5aab0812fa4,Image Inspired Poetry Generation in XiaoIce,"Image Inspired Poetry Generation in XiaoIce∗ -Wen-Feng Cheng1,2, Chao-Chung Wu2, Ruihua Song1, Jianlong Fu1, Xing Xie1, Jian-Yun Nie3 -{wencheng, rsong, jianf, -Microsoft, 2National Taiwan University, 3University of Montreal" 46f3b113838e4680caa5fc8bda6e9ae0d35a038c,Automated Dermoscopy Image Analysis of Pigmented Skin Lesions,"Cancers 2010, 2, 262-273; doi:10.3390/cancers2020262 OPEN ACCESS ancers @@ -32077,35 +27277,6 @@ ACS, Advanced Computer Systems, Via della Bufalotta 378, 00139 Rome, Italy Fax: +390815569693. Received: 23 February 2010; in revised form: 15 March 2010 / Accepted: 25 March 2010 / Published: 26 March 2010" -469ee1b00f7bbfe17c698ccded6f48be398f2a44,SURVEy : Techniques for Aging Problems in Face Recognition,"MIT International Journal of Computer Science and Information Technology, Vol. 4, No. 2, August 2014, pp. 82-88 -ISSN 2230-7621©MIT Publications -SURVEy: Techniques for -Aging Problems in Face Recognition -Aashmi -Sakshi Sahni -Sakshi Saxena -Scholar, Computer Science Engg. Dept. -Moradabad Institute of Technology -Scholar, Computer Science Engg. Dept. -Moradabad Institute of Technology -Scholar, Computer Science Engg. Dept. -Moradabad Institute of Technology -Moradabad, U.P., INDIA -Moradabad, U.P., INDIA -Moradabad, U.P., INDIA -E-mail: -E-mail: -E-mail:" -468322e98f87a33d926aad99295acc2919b2ca0b,Wally: crowd powered image matching on tablets,"Wally – Crowd powered image matching on tablets -Deepak Pai -Adobe Systems India Pvt Ltd -Bangalore -India -91-80-41939984 -James Davis -UC Santa Cruz -California --650-799-2574" 4640dfc0bfe7923c08d0c762a9c33b52b9029409,Head Movement and Facial Expression Transfer from 2 D Video to a 3 D Model,"Head Movement and Facial Expression Transfer from 2D Video to a 3D Model Mairead Grogan @@ -32143,8 +27314,6 @@ Annotations Toru Ogawa · Atsushi Otsubo · Rei Narita · Yusuke Matsui · Toshihiko Yamasaki · Kiyoharu Aizawa" -46f5bb35ea99c62320199b1f0924a4e7c0b001d3,Perspective-Aware CNN For Crowd Counting,"Perspective-Aware CNN For Crowd Counting -Miaojing Shi, Zhaohui Yang, Chao Xu, Member, IEEE, and Qijun Chen, Senior Member, IEEE" 4679f4a7da1cf45323c1c458b30d95dbed9c8896,Recognizing Facial Expressions Using Model-Based Image Interpretation,"We are IntechOpen, the world’s leading publisher of Open Access books @@ -32208,18 +27377,6 @@ Stanford University and Max Planck Institute for Informatics" 46fbf807f1c0c863aa35d3d8acb40870182d3b28,Multi-Instance Dynamic Ordinal Random Fields for Weakly Supervised Facial Behavior Analysis,"Multi-Instance Dynamic Ordinal Random Fields for Weakly-supervised Facial Behavior Analysis Adria Ruiz∗, Ognjen (Oggi) Rudovic†, Xavier Binefa∗ and Maja Pantic(cid:5)" -46a553e670027e838716e5a1a39577d7cd7a4893,Face Recognition using TSF Model and DWT based Multilevel Illumination Normalization,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Index Copernicus Value (2013): 6.14 | Impact Factor (2014): 5.611 -Face Recognition using TSF Model and DWT based -Multilevel Illumination Normalization -Midhun Madhusoodanan1, Jini Cheriyan2 -M.Tech Scholar (Signal Processing), Department of Electronics and Communication, TKM Institute of Technology, -MusaliarHills, Karuvelil P.O, Ezhukone, Kollam-691505, Kerala, India -Assistant Professor, Department of Electronics and Communication, TKM Institute of Technology, -Musaliar Hills, Karuvelil P.O, Ezhukone, Kollam-691505, Kerala, India -recognition -is a" 46299c9db8a4570d060ee8fc1616c4a148056365,IJCSI Publicity Board 2011,"IJCSI IJCSI International Journal of @@ -32228,9 +27385,6 @@ Computer Science Issues www.IJCSI.org Volume 7, Issue 5, September 2010 ISSN (Online): 1694-0814" -46d0a519da10160a20a3070cc53e5b9401066526,Incremental Learning of Random Forests for Large-Scale Image Classification,"Incremental Learning of Random Forests for -Large-Scale Image Classification -Marko Ristin, Matthieu Guillaumin, Juergen Gall, Member, IEEE and Luc Van Gool, Member, IEEE" 46106d9f9d9b90401b7984794536e2f45fff1dbe,Learning Distance Functions for Automatic Annotation of Images,"Learning Distance Functions for Automatic Annotation of Images Josip Krapac and Fr´ed´eric Jurie @@ -32249,10 +27403,6 @@ Associate Professor Department of Computer Engineering KKWIEER, Nashik, India. Savitribai Phule Pune University,Pune" -4688787d064e59023a304f7c9af950d192ddd33e,Investigating the Discriminative Power of Keystroke Sound,"Investigating the Discriminative Power of Keystroke -Sound -Joseph Roth Student Member, IEEE,, Xiaoming Liu, Member, IEEE, Arun Ross, Senior Member, IEEE, -nd Dimitris Metaxas, Member, IEEE" 4682fee7dc045aea7177d7f3bfe344aabf153bd5,Tabula rasa: Model transfer for object category detection,"Tabula Rasa: Model Transfer for Object Category Detection Yusuf Aytar & Andrew Zisserman, @@ -32384,12 +27534,6 @@ Sand 14, 72076 Tbingen, Germany Enkelejda Kasneci Eberhard Karls Universit¨at T¨ubingen Sand 14, 72076 Tbingen, Germany" -3a4c70ca0bbd461fe2e4de3448a01f06c0217459,Accurate Vision-based Vehicle Localization using Satellite Imagery,"Accurate Vision-based Vehicle Localization using Satellite Imagery -Hang Chu -Hongyuan Mei -Mohit Bansal -Matthew R. Walter -Toyota Technological Institute at Chicago, Chicago, IL 60637, USA" 3a89236bb9fb3198a45089fb4a99ddba070d0cba,Image Area Reduction for Efficient Medical Image Retrieval,"Image Area Reduction for Ef‌f‌icient Medical Image Retrieval Zehra Camlica @@ -32425,11 +27569,6 @@ Italy University of North Carolina Wilmington Master of Science in Computer Science and Information Systems" -3a60678ad2b862fa7c27b11f04c93c010cc6c430,A Multimodal Database for Affect Recognition and Implicit Tagging,"JANUARY-MARCH 2012 -A Multimodal Database for -Affect Recognition and Implicit Tagging -Mohammad Soleymani, Member, IEEE, Jeroen Lichtenauer, -Thierry Pun, Member, IEEE, and Maja Pantic, Fellow, IEEE" 3acfbc2aee9b2ed246a640930ebc2e350621f990,Progressive Boosting for Class Imbalance,"Progressive Boosting for Class Imbalance Roghayeh Soleymania,∗, Eric Grangera, Giorgio Fumerab Laboratoire d’imagerie, de vision et d’intelligence artificielle, ´Ecole de technologie sup´erieure @@ -32471,25 +27610,10 @@ Xianfeng Gu Dept of Comp Sci Stony Brook Univ Stony Brook, USA" -3a564db6701cc64a4bf336e6012ada0952fed02d,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,"International Journal of Computer Applications (0975 – 8887) -Volume 179 – No.21, February 2018 -Comparative Study of Diverse Face Recognition -Approaches along with Intrinsic Worth and Recognition -Shivang Shukla -Department of Computer Science -Medi-Caps Institute of Science and Technology -Indore, Madhya Pradesh, India -Sourabh Dave -Department of Information Technology -Medi-Caps Inst. Of Science and Technology -Indore, Madhya Pradesh, India" 3a591a9b5c6d4c62963d7374d58c1ae79e3a4039,Driver Cell Phone Usage Detection from HOV/HOT NIR Images,"Driver Cell Phone Usage Detection From HOV/HOT NIR Images Yusuf Artan, Orhan Bulan, Robert P. Loce, and Peter Paul Xerox Research Center Webster 800 Phillips Rd. Webster NY 14580" -3a95eea0543cf05670e9ae28092a114e3dc3ab5c,Constructing the L2-Graph for Robust Subspace Learning and Subspace Clustering,"Constructing the L2-Graph for Robust Subspace -Learning and Subspace Clustering -Xi Peng, Zhiding Yu, Huajin Tang, Member, IEEE, and Zhang Yi, Senior Member, IEEE" 3aef744dad3982a7ae1ad97b4f126b6772fc3d07,Scene-Centric Joint Parsing of Cross-View Videos,"Scene-centric Joint Parsing of Cross-view Videos Hang Qi1∗, Yuanlu Xu1∗, Tao Yuan1∗, Tianfu Wu2, Song-Chun Zhu1 Dept. Computer Science and Statistics, University of California, Los Angeles (UCLA) @@ -32503,10 +27627,6 @@ Zaragoza. 5018, María de Luna 7-8, Spain University of Zaragoza, Computer Science and Systems Engineering Department, Zaragoza. 50018, María de Luna 3, Spain {sballano, {ecerezo," -3aee6a6285869e6db48ad269eb110b542ad23c93,One-Click Annotation with Guided Hierarchical Object Detection,"One - Click Annotation with Guided Hierarchical Object Detection -Adithya Subramanian, Anbumani Subramanian -Intel -Bangalore, India" 3a9681e2e07be7b40b59c32a49a6ff4c40c962a2,"Comparing treatment means : overlapping standard errors , overlapping confidence intervals , and tests of hypothesis","Biometrics & Biostatistics International Journal Comparing treatment means: overlapping standard errors, overlapping confidence intervals, and tests of @@ -32583,20 +27703,6 @@ Publisher: UCSD Institute for Neural Computation Location: The Salk Institute for Biological Studies La Jolla California, USA ISBN: 0-615-12704-5" -3abfd884d553f91cd6c9c8b704bbeb9b49d171d3,A Hybrid Color Space for Skin Detection Using Genetic Algorithm Heuristic Search and Principal Component Analysis Technique,"RESEARCH ARTICLE -A Hybrid Color Space for Skin Detection -Using Genetic Algorithm Heuristic Search and -Principal Component Analysis Technique -Mahdi Maktabdar Oghaz*☯, Mohd Aizaini Maarof☯, Anazida Zainal☯, Mohd Foad Rohani☯, -S. Hadi Yaghoubyan☯ -Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia -☯ These authors contributed equally to this work." -3aa98c08043558fec09bbf731cd7a8f09cf4eacf,Projective Nonnegative Matrix Factorization with α-Divergence,"Projective Nonnegative Matrix Factorization -with α-Divergence -Zhirong Yang and Erkki Oja -Department of Information and Computer Science(cid:2) -P.O. Box 5400, FI-02015, TKK, Espoo, Finland -Helsinki University of Technology" 3a37f57a9b94fff82ffea4e77803ebe5ebf6401b,ER7ST-algorithm for extracting facial expressions,"068 The International Arab Journal of Information Technology Vol. 13, No. 6B, 2016 ER7ST-Algorithm for Extracting Facial Expressions Ahmad Tayyar1, Shadi Al-Shehabi2, and Majida AlBakoor3 @@ -32643,11 +27749,6 @@ Margaret Mitchell · Kota Yamaguchi · Karl Stratos · Amit Goyal · Jesse Dodge · Alyssa Mensch · Hal Daum´e III · Alexander C. Berg · Yejin Choi · Tamara L. Berg Received: date / Accepted: date" -3a92a00b41dc6217f7685148c8a378524fa1a542,Human Pose Estimation Using Exemplars and Part Based Refinement,"Human Pose Estimation -Using Exemplars and Part Based Refinement -Yanchao Su1, Haizhou Ai1, Takayoshi Yamashita2, and Shihong Lao2 -Computer Science and Technology Department, Tsinghua, Beijing 100084, China -Core Technology Center, Omron Corporation, Kyoto 619-0283, Japan" 3a962138ede25d81a6d5aa42aa1abba649481f10,Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation,"Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation Christian Bailer1 @@ -32687,11 +27788,6 @@ Aaditya Prakash and James Storer Brandeis University" 3a0cceb1a10697e3e17738579d27708c9c3303a8,Data-Intensive Multimedia Semantic Concept Modeling using Robust Subspace Bagging and MapReduce,"Data-Intensive Multimedia Semantic Concept Modeling using Robust Subspace Bagging and MapReduce" -3af16b0c1265cc9c8969f9c16ce65185297a2bfc,Regularizing Deep Networks by Modeling and Predicting Label Structure,"Regularizing Deep Networks by Modeling and Predicting Label Structure -Mohammadreza Mostajabi -Michael Maire -Gregory Shakhnarovich -Toyota Technological Institute at Chicago" 3abf8e5f1f5778b99890b193de59a3a9031e3691,Revisiting Linear Discriminant Techniques in Gender Recognition,"Revisiting Linear Discriminant Techniques in Gender Recognition Juan Bekios-Calfa, Jose´ M. Buenaposada, and @@ -32727,10 +27823,6 @@ Linguistics Meets Video Search Andrei Barbu∗ N. Siddharth∗ Jeffrey Mark Siskind∗" -3ac09c2589178dac0b6a2ea2edf04b7629672d81,Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2017 -Wasserstein CNN: Learning Invariant Features -for NIR-VIS Face Recognition -Ran He, Senior Member, IEEE, Xiang Wu, Zhenan Sun∗, Member, IEEE, and Tieniu Tan, Fellow, IEEE" 3acdccd33e518f22dcfe36ee29c332a644afdb25,Automatic Detection of Facial Midline And Its Contributions To Facial Feature Extraction,"Electronic Letters on Computer Vision and Image Analysis 6(3):55-66, 2008 Automatic Detection of Facial Midline And Its Contributions To Facial Feature Extraction @@ -32775,16 +27867,6 @@ Junkai Chen1, Zenghai Chen1, Zheru Chi1 and Hong Fu1,2 Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong Department of Computer Science, Chu Hai College of Higher Education, Hong Kong" -b501361ad3ad4f78a3966830a40d2b4f68466c80,Night-time Vehicle Detection for Automatic Headlight Beam Control,"International Journal of Computer Applications (0975 – 8887) -Volume 157 – No 7, January 2017 -Night-time Vehicle Detection for Automatic Headlight -Beam Control -Pushkar Sevekar -Student, Department of -Electronics Engineering -A.I.S.S.M.S. Institute of -Information Technology, -Pune, India" b5160e95192340c848370f5092602cad8a4050cd,Video Classification With CNNs: Using the Codec as a Spatio-Temporal Activity Sensor,"Video Classification With CNNs: Using The Codec As A Spatio-Temporal Activity Sensor Aaron Chadha, Alhabib Abbas and Yiannis Andreopoulos, Senior Member, IEEE" @@ -32793,9 +27875,6 @@ A TEACHER STUDENT NETWORK FOR FASTER VIDEO CLASSIFICATION Anonymous authors Paper under double-blind review" -b54c477885d53a27039c81f028e710ca54c83f11,Semi-Supervised Kernel Mean Shift Clustering,"Semi-Supervised Kernel Mean Shift Clustering -Saket Anand, Member, IEEE, Sushil Mittal, Member, IEEE, Oncel Tuzel, Member, IEEE, -nd Peter Meer, Fellow, IEEE" b58417561ea400b60bd976104e43b1361e1314ba,Target Tracking In Real Time Surveillance Cameras and Videos,"Target Tracking In Real Time Surveillance Cameras and Videos Nayyab Naseem Mehreen Sirshar @@ -32820,18 +27899,6 @@ Abdolrahim Kadkhodamohammadi1, Afshin Gangi1,2, Michel de Mathelin1, Nicolas Pad ICube, University of Strasbourg, CNRS, IHU Strasbourg, France Radiology Department, University Hospital of Strasbourg, France {kadkhodamohammad, gangi, demathelin," -b5793958cd1654b4817ebb57f5484dfd8861f916,Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering,"Recurrent Image Captioner: Describing Images with Spatial-Invariant -Transformation and Attention Filtering -Hao Liu -UESTC, China -Yang Yang -UESTC, China -Fumin Shen -UESTC, China -Lixin Duan -UESTC, China -Heng Tao Shen -UESTC, China" b5f7b17b0feb3a1f3af60dce61fd9a9c6b067368,The Benefits of Dense Stereo for Pedestrian Detection,"The Benefits of Dense Stereo for Pedestrian Detection Christoph G. Keller, Markus Enzweiler, Marcus Rohrbach, David Fernández Llorca, @@ -32850,9 +27917,6 @@ Emma Sumner 1 & Hayley C. Leonard 2 & Elisabeth L. Hill 3 # The Author(s) 2018. This article is an open access publication" b5d1a7bc9f89ba9e8d99f6b151f83a4ff9220bb9,"A Framework for the Segmentation and Classification of 3D Point Clouds using Temporal, Spatial and Semantic Information", -b54f15a02d8454333ca7dbca665f7712572b56e0,Role Playing Learning for Socially Concomitant Mobile Robot Navigation,"Role Playing Learning for Socially Concomitant -Mobile Robot Navigation -Mingming Li, Rui Jiang, Shuzhi Sam Ge, Fellow, IEEE, and Tong Heng Lee, Member, IEEE" b5857b5bd6cb72508a166304f909ddc94afe53e3,SSIG and IRISA at Multimodal Person Discovery,"SSIG and IRISA at Multimodal Person Discovery Cassio E. dos Santos Jr1, Guillaume Gravier2, William Robson Schwartz1 Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil @@ -32951,12 +28015,6 @@ Major Professor: Gita R. Sukthankar" b55853483873d3947e8c962f1152128059369d93,DoShiCo challenge: Domain shift in control prediction,"DoShiCo challenge: Domain Shift in Control prediction Klaas Kelchtermans∗ and Tinne Tuytelaars∗" -b50f2ad8d7f08f99d4ba198120120f599f98095e,Spatiotemporal data fusion for precipitation nowcasting,"Spatiotemporal data fusion for precipitation -nowcasting -Vladimir Ivashkin -Yandex, Moscow, Russia -Vadim Lebedev -Yandex, Moscow, Russia" b525a863eab597055e02351acfeab64754d22690,Pictorial Structures Revisited : Multiple Human Pose Estimation,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE D Pictorial Structures Revisited: Multiple Human Pose Estimation @@ -32981,9 +28039,6 @@ Comparison of face Recognition Algorithms on Dummy Faces Aruni Singh, Sanjay Kumar Singh, Shrikant Tiwari Department of Computer Engineering, IT-BHU, Varanasi-India" -b5050d74dd8f0384506bcd365b31044c80d476c0,Discriminative Multimetric Learning for Kinship Verification,"Discriminative Multimetric Learning -for Kinship Verification -Haibin Yan, Jiwen Lu, Member, IEEE, Weihong Deng, and Xiuzhuang Zhou, Member, IEEE" b5d14fee9658877abbbfa760dd9765db0af86ba6,Swarm intelligence and evolutionary computation approaches for 2 D face recognition : a systematic review,"Revista Brasileira de Computação Aplicada, July, 2018 DOI: 10.5335/rbca.v10i2.8046 Vol. 10, No 2, pp. 2–17 @@ -33017,26 +28072,6 @@ Andreas Ess · Konrad Schindler · Bastian Leibe · Luc Van Gool" b52886610eda6265a2c1aaf04ce209c047432b6d,Microexpression Identification and Categorization Using a Facial Dynamics Map,"Microexpression Identification and Categorization using a Facial Dynamics Map Feng Xu, Junping Zhang, James Z. Wang" -b55489547790f7fb2c8b4689530b5660fbc8ee64,Face Scanning in Autism Spectrum Disorder and Attention Deficit/Hyperactivity Disorder: Human Versus Dog Face Scanning,"ORIGINAL RESEARCH -published: 23 October 2015 -doi: 10.3389/fpsyt.2015.00150 -Face scanning in autism spectrum -disorder and attention deficit/ -hyperactivity disorder: human -versus dog face scanning -Mauro Muszkat 1, Claudia Berlim de Mello 2, Patricia de Oliveira Lima Muñoz 3, -Tania Kiehl Lucci 3, Vinicius Frayze David 3, José de Oliveira Siqueira 3 and Emma Otta 3* -Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil, 2 Programa de Pós Graduação em -Educação e Saúde, Universidade Federal de São Paulo, São Paulo, Brazil, 3 Departamento de Psicologia Experimental, -Instituto de Psicologia, Universidade de São Paulo, São Paulo, Brazil -This study used eye tracking to explore attention allocation to human and dog faces in chil- -dren and adolescents with autism spectrum disorder (ASD), attention deficit/hyperactivity -disorder (ADHD), and typical development (TD). Significant differences were found among -the three groups. TD participants looked longer at the eyes than ASD and ADHD ones, -irrespective of the faces presented. In spite of this difference, groups were similar in that -they looked more to the eyes than to the mouth areas of interest. The ADHD group gazed -longer at the mouth region than the other groups. Furthermore, groups were also similar -in that they looked more to the dog than to the human faces. The eye-tracking tech-" b5dd744df6de73bd072b18d9108b79431a28c539,Gait Recognition With Shifted Energy Image and Structural Feature Extraction,"Gait Recognition with Shifted Energy Image nd Structural Feature Extraction Xiaxi Huang and Nikolaos V. Boulgouris, Senior Member, IEEE" @@ -33081,26 +28116,6 @@ d745eaeb096fbf61ac0694e447acd2081a08b084,Ðáñáêïëïýèçóç ÄÉÄÁÊÔÏÑÉÊÏÕ ÄÉÐËÙÌÁÔÏÓ ÓÔÇÍ ÐËÇÑÏÖÏÑÉÊÇ ÄåêÝìâñéïò 2009" d7da0f595d135474cc2193d382b22458b313cdbf,Multi-View Constraint Propagation with Consensus Prior Knowledge.,Multi-View Constraint Propagation with Consensus Prior Knowledge -d7d90d768c4770c356901f20077af9ad27efdfd0,Real-time dense map fusion for stereo SLAM,"doi:10.1017/xxxx -Real-time Dense Map Fusion for Stereo SLAM -Taih´u Pire†∗, Rodrigo Baravalle†, Ariel D’Alessandro† and -Javier Civera‡ -CIFASIS, French Argentine International Center for Information and Systems -Sciences (CONICET-UNR), Argentina -University of Zaragoza, Spain -(Accepted MONTH DAY, YEAR. First published online: MONTH DAY, YEAR) -SUMMARY -A robot should be able to estimate an accurate and dense 3D model of its environment -(a map), along with its pose relative to it, all of it in real time, in order to be able to -navigate autonomously without collisions. -As the robot moves from its starting position and the estimated map grows, the -omputational and memory footprint of a dense 3D map increases and might exceed the -robot capabilities in a short time. However, a global map is still needed to maintain its -onsistency and plan for distant goals, possibly out of the robot field of view. -In this work we address such problem by proposing a real-time stereo mapping pipeline, -feasible for standard CPUs, which is locally dense and globally sparse and accurate. Our -lgorithm is based on a graph relating poses and salient visual points, in order to maintain -long-term accuracy with a small cost. Within such framework, we propose an ef‌f‌icient" d7c659ce0442bf1047e7d2e942837b18105f6f47,Depth-Adaptive Deep Neural Network for Semantic Segmentation,"Depth Adaptive Deep Neural Network for Semantic Segmentation Byeongkeun Kang, Yeejin Lee, and Truong Q. Nguyen, Fellow, IEEE" @@ -33117,32 +28132,6 @@ Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara University of Modena and Reggio Emilia Figure 1: Sample frames synthesized by the proposed framework. Given an initial RGB frame at time t0 and a set of following event frames at time t1, ..., tn as input, the proposed framework accordingly synthesizes a RGB frame for each time step." -d7453fa0c70a15681e76b509fff6e1dd49f5a4a5,Indian Classical Dance Action Identification and Classification with Convolutional Neural Networks,"Hindawi -Advances in Multimedia -Volume 2018, Article ID 5141402, 10 pages -https://doi.org/10.1155/2018/5141402 -Research Article -Indian Classical Dance Action Identification and Classification -with Convolutional Neural Networks -, K. V. V. Kumar -, A. S. C. S. Sastry, -P. V. V. Kishore -M. Teja Kiran , D. Anil Kumar -Department of Electronics and Communication Engineering, KL University, Vaddeswaram, Guntur, India -, and M. V. D. Prasad -, E. Kiran Kumar -Correspondence should be addressed to P. V. V. Kishore; -Received 13 October 2017; Accepted 20 December 2017; Published 22 January 2018 -Academic Editor: Lin Wu -Copyright © 2018 P. V. V. Kishore et al. This is an open access article distributed under the Creative Commons Attribution License, -which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -Extracting and recognizing complex human movements from unconstrained online/offline video sequence is a challenging task" -d7fe2a52d0ad915b78330340a8111e0b5a66513a,Photo-to-Caricature Translation on Faces in the Wild,"Unpaired Photo-to-Caricature Translation on Faces in -the Wild -Ziqiang Zhenga, Chao Wanga, Zhibin Yua, Nan Wanga, Haiyong Zhenga,∗, -Bing Zhenga -No. 238 Songling Road, Department of Electronic Engineering, Ocean University of -China, Qingdao, China" d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48,Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets,"Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets Aijun Bai @@ -33206,15 +28195,6 @@ Suhelah Sandokji1, Fathy Eassa2 Faculty of Computing and Information Technology, KAU Jeddah ,Saudi Arabia studies consider partitioning" -d7731565ec4cb1b910290ccb580405cb55224286,Robust Face Recognition via Adaptive Sparse Representation,"Robust Face Recognition via Adaptive Sparse -Representation -Jing Wang, Canyi Lu, Meng Wang, Member, IEEE, Peipei Li, -Shuicheng Yan, Senior Member, IEEE, Xuegang Hu" -d73221adda13a99e8dd8dab101abcfeae6b7b706,The ApolloScape Dataset for Autonomous Driving,"The ApolloScape Dataset for Autonomous Driving -Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, -Dingfu Zhou, Peng Wang, Yuanqing Lin, and Ruigang Yang -Baidu Research, Beijing, China -National Engineering Laboratory of Deep Learning Technology and Application, China" d745cf8c51032996b5fee6b19e1b5321c14797eb,Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features,"Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features Douglas Gray and Hai Tao @@ -33332,13 +28312,6 @@ d7f153112c51923c8e78036fc694220c9d4bf4bc,The 2018 DAVIS Challenge on Video Objec Video Object Segmentation Sergi Caelles, Alberto Montes, Kevis-Kokitsi Maninis, Yuhua Chen, Luc Van Gool, Federico Perazzi, and Jordi Pont-Tuset" -d79121a03584123fad02c4f2607f0e63d08ff7c2,Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions,"Tracking Occluded Objects and Recovering Incomplete Trajectories -y Reasoning about Containment Relations and Human Actions -Wei Liang1,2 -Yixin Zhu2 -Song-Chun Zhu2 -Beijing Laboratory of Intelligent Information Technology, Beijing Institute of Technology, China -Center for Vision, Cognition, Learning, and Autonomy, University of California, Los Angeles, USA" d7b850537ccf33cabc2f0b231553aad79ad43aa8,Grid Map based Free Space Estimation using Stereo Vision,"Grid Map based Free Space Estimation using Stereo Vision Hannes Harms1, Eike Rehder1 and Martin Lauer1" d7e8c6da1a95f41d8097b7b713890ccde13ef1d8,Development of an Efficient Face Recognition System Based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms @@ -33551,17 +28524,6 @@ RESIDUAL NETWORKS REGULARIZATION OF -BRANCH Xavier Gastaldi" -220d62414053519f7b9a6aecb4aa9f775014c98c,Incremental Feature Transformation for Temporal Space,"Incremental Feature Transformation for Temporal Space -International Journal of Computer Applications (0975 – 8887) -Volume 145 – No.8, July 2016 -Preeti Mahadev -University of Mysore, -Mysuru, Karnataka, -India -P. Nagabhushan -University of Mysore, -Mysuru, Karnataka, -India" 22137ce9c01a8fdebf92ef35407a5a5d18730dde,Recognition of Faces from single and Multi-View Videos, 227b1a09b942eaf130d1d84cdcabf98921780a22,Multi-feature shape regression for face alignment,"Yang et al. EURASIP Journal on Advances in Signal Processing (2018) 2018:51 https://doi.org/10.1186/s13634-018-0572-6 @@ -33586,10 +28548,6 @@ Pulkit Agrawal UC Berkeley Jitendra Malik UC Berkeley" -224868cc607dc38b7eca8536018580c577f9fedf,Exploring Temporal Patterns in Classifying Frustrated and Delighted Smiles,"IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, MANUSCRIPT ID -Exploring Temporal Patterns in Classifying -Frustrated and Delighted Smiles -Mohammed E. Hoque, Daniel J. McDuff, and Rosalind W. Picard, Member, IEEE" 22d656a6395e22473b8764eddff759ea03f48032,Nonrigid Image Registration Using Higher-Order MRF Model with Dense Local Descriptor,"Nonrigid Image Registration Using Higher-Order MRF Model with Dense Local Descriptor Dongjin Kwon1, Kyong Joon Lee1, Il Dong Yun2, and Sang Uk Lee1 @@ -33643,26 +28601,6 @@ September 2011 ANU Computer Science Technical Report Series" 22c89775cb5309eae5ac1f9ce9d1c2d569439492,Face recognition based on extended separable lattice 2-D HMMS,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE ICASSP 2012" -224fc841ad5b6766f828fe54f00e4f6153354627,Privacy preserving optics for miniature vision sensors,"Privacy Preserving Optics for Miniature Vision Sensors -Francesco Pittaluga1, Sanjeev J. Koppal2 -,2Department of Electrical and Computer Engineering, University of Florida. -We present a novel framework, which enables ”pre-capture” privacy, for -miniature vision sensors. Most privacy preserving systems for computer -vision, process images after capture. There exists a moment of vulnerabil- -ity in such systems, after capture, when privacy has not yet been enforced. -Our privacy sensors filter the incident light-field before image capture, while -light passes through the sensor optics, so sensitive information is never mea- -sured by the sensor. Within this framework, we introduce, to our knowledge, -the first ever sensor that enables pre-capture k-anonymity and multiple sen- -sors that achieve pre-capture privacy through optical defocus. We also show -theory for miniaturizing the proposed designs, including a novel ”optical -knapsack” solution for finding a field-of-view-optimal arrangement of op- -tical elements. Our privacy preserving sensors enable applications such as -ccurate depth sensing, full-body motion tracking, multiple people tracking -nd low-power blob detection. -Related Work. Ad hoc privacy preserving algorithms for video data, such -s naive blurring, trade off data utility for privacy protection, as they rely -on heavy distortion of the data, to thwart restoration attacks [3]. In con-" 224ffad672f7e6c7995780eb9bd3c8a141cb25cd,Understanding pedestrian behaviors from stationary crowd groups,"Understanding Pedestrian Behaviors from Stationary Crowd Groups Shuai Yi1, Hongsheng Li1,2, Xiaogang Wang1 Department of Electronic Engineering, The Chinese University of Hong Kong. @@ -33683,16 +28621,6 @@ to model pedestrian behaviors. The Proposed Pedestrian Behavior Model A general energy map M is proposed to model the traveling difficulty of every location of the scene. It can be modeled with three channels calculated" -2236294e803316c5934fa387f27d128fa7819a03,Iterative Human Pose Estimation based on A New Part Appearance Model,"Appl. Math. Inf. Sci. 8, No. 1L, 311-317 (2014) -Applied Mathematics & Information Sciences -An International Journal -http://dx.doi.org/10.12785/amis/081L39 -Iterative Human Pose Estimation based on A New Part -Appearance Model -Wang Hao, Meng Fanhui and Fang Baofu∗ -School of Computer and Information, Hefei Universty of Technology, Hefei, China -Received: 15 May. 2013, Revised: 9 Sep. 2013, Accepted: 10 Sep. 2013 -Published online: 1 Apr. 2014" 22355c1b0a8af6b9e1cc2ef3fd5dce08edc48dd5,Learning to Detect Vehicles by Clustering Appearance Patterns,"(cid:13)2015IEEE.Personaluseofthismaterialispermitted.PermissionfromIEEEmustbeobtainedforallotheruses,inanycurrentorfuturemedia,includingreprinting/republishingthismaterialforadvertisingorpromotionalpurposes,creatingnewcollectiveworks,forresaleorredistributiontoserversorlists,orreuseofanycopyrightedcomponentofthisworkinotherworks." 225f09fd8103626c486ea9bfcd3770858dcf1906,Strangeness Based Feature Selection for Part Based Recognition,"Strangeness Based Feature Selection for Part Based Recognition Fayin Li and Jana Koˇseck´a and Harry Wechsler @@ -33730,13 +28658,6 @@ KyungHyun Cho, Tapani Raiko and Alexander Ilin Department of Information and Computer Science, Aalto University School of Science Email:" -224547337e1ace6411a69c2e06ce538bc67923f7,Convolutional Neural Network for Camera Pose Estimation from Object Detections,"CONVOLUTIONAL NEURAL NETWORK FOR CAMERA POSE ESTIMATION FROM -OBJECT DETECTIONS -E. V. Shalnova, A. S. Konushina,b -MSU, Faculty of Computational Mathematics and Cybernetics, Russia, 119991, Moscow, GSP-1, 1-52, Leninskiye Gory, - -HSE, Faculty of Computer Science, Russia, 125319, Moscow, 3, Kochnovsky Proezd -KEY WORDS: Camera Pose, CNN, Head Detection, Computer Graphics -Commission II, WG II/5" 221debbd7878ed303eaa4666f8df04a48e4c5070,Making Computer Vision Computationally Efficient,"Making computer vision computationally efficient Narayanan Sundaram Electrical Engineering and Computer Sciences @@ -33753,42 +28674,8 @@ Zhe Lin2 Adobe Research Li Zhang1 http://www.cs.wisc.edu/~lizhang/projects/face-landmark-localization/" -22029de24dbf6867658145264f36b161c40a09d8,A Discriminative Representation of Convolutional Features for Indoor Scene Recognition,"A Discriminative Representation of Convolutional -Features for Indoor Scene Recognition -S. H. Khan, M. Hayat, M. Bennamoun, Member, IEEE, R. Togneri, and F. Sohel, Senior Member, IEEE" -7c1e1c767f7911a390d49bed4f73952df8445936,Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA),"NON-RIGID OBJECT DETECTION WITH LOCAL INTERLEAVED SEQUENTIAL ALIGNMENT (LISA) -Non-Rigid Object Detection with Local -Interleaved Sequential Alignment (LISA) -Karel Zimmermann, Member, IEEE,, David Hurych, Member, IEEE, -nd Tom´aˇs Svoboda, Member, IEEE" -7cee2a2bee27657e6599b13f9ed6536d5f46fd0a,A Semantic Labeling Approach for Accurate Weed Mapping of High Resolution UAV Imagery,"Article -A Semantic Labeling Approach for Accurate Weed -Mapping of High Resolution UAV Imagery -Huasheng Huang 1,2,†, Yubin Lan 1,2,†, Jizhong Deng 1,2,*, Aqing Yang 3, Xiaoling Deng 2,3, -Lei Zhang 2,4 and Sheng Wen 2,5 -College of Engineering, South China Agricultural University, Wushan Road, Guangzhou 510642, China; -(H.H.); (Y.L.) -National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide -Spraying Technology, Wushan Road, Guangzhou 510642, China; (X.D.); -(L.Z.); (S.W.) -College of Electronic Engineering, South China Agricultural University, Wushan Road, Guangzhou 516042, -China; -College of Agriculture, South China Agricultural University, Wushan Road, Guangzhou 516042, China -Engineering Fundamental Teaching and Training Center, South China Agricultural University, -Wushan Road, Guangzhou 510642, China -* Correspondence: Tel.: +86-20-8528-8201 -These authors contributed equally to this work and should be considered as co-first authors. -Received: 13 May 2018; Accepted: 27 June 2018; Published: 1 July 2018" 7c8d57ca9cbefd1c2b3f4d45ab6791adba2d6bb4,Two-Stage Hashing for Fast Document Retrieval,"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Short Papers), pages 495–500, Baltimore, Maryland, USA, June 23-25 2014. c(cid:13)2014 Association for Computational Linguistics" -7c9d8593cdf2f8ba9f27906b2b5827b145631a0b,MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, OCTOBER 2018 -MsCGAN: Multi-scale Conditional Generative -Adversarial Networks for Person Image -Generation -Wei Tang∗, Teng Li †, Fudong Nian‡, Meng Wang§ -† Anhui University, HeFei, China -Hefei University, HeFei, China -§ Hefei University of Technology, HeFei, China" 7c2f2080473d25db73c53869337afb79d2135731,"Remondino , Gerke 75 Oblique Aerial Imagery – A Review","Remondino, Gerke Oblique Aerial Imagery – A Review Fabio Remondino, Trento @@ -33809,13 +28696,6 @@ Dongning Wang Glenn M. Fung American Family Insurance, Strategic Data & Analytics, Madison, WI {lpolania, dwang1," -7c0f7d47da05a41e8671b059ade70dd2df7070db,Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS,"International Journal of Emerging Technology and Advanced Engineering -Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 7, July 2015) -Face Recognition and Feature Detection Using Artificial -Neural Networks and ANFIS -Sanjay Kumar Dekate1, Dr. Anupam Shukla2 -Research Scholar, Dr. C. V. Raman University, Bilaspur, India -Professor, ABV-IIITM, Gwalior, India" 7c26559e7269679ef52a85d02c6ff7000c2387d2,Towards a Development of a Learners’ Ratified Acceptance of Multi-biometrics Intentions Model (RAMIM): Initial Empirical Results,"Yair Levy, Michelle M. Ramim Towards a Development of a Learners’ Ratified Acceptance of Multi-biometrics Intentions Model @@ -33840,25 +28720,9 @@ Anirudh Vemula, Katharina Muelling and Jean Oh" 7c4864065f4e107cb5be49a8dba8cf7d94b8340f,Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow,"Multi-target Tracking by Lagrangian Relaxation to Min-Cost Network Flow Asad A. Butt and Robert T. Collins The Pennsylvania State University, University Park, PA. 16802, USA" -7c47da191f935811f269f9ba3c59556c48282e80,Robust eye centers localization with zero-crossing encoded image projections,"Robust Eye Centers Localization -with Zero–Crossing Encoded Image Projections -Laura Florea -Image Processing and Analysis Laboratory -University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313 -Corneliu Florea -Image Processing and Analysis Laboratory -University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313 -Constantin Vertan -Image Processing and Analysis Laboratory -University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313" 7c7af300c4780ad01e7db4d60fbf89771672585b,Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning,"Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning Max Ferguson1 Ronay Ak2 Yung-Tsun Tina Lee2 and Kincho. H. Law1" -7c0a6824b556696ad7bdc6623d742687655852db,MPCA+MDA: A novel approach for face recognition based on tensor objects,"8th Telecommunications forum TELFOR 2010 -Serbia, Belgrade, November 23-25, 2010. -MPCA+DATER: A Novel Approach for Face -Recognition Based on Tensor Objects -Ali. A. Shams Baboli, Member, IEEE, G. Rezai-rad, Member, IEEE, Aref. Shams Baboli" 7cda4fc187f446a52cc5c9ac0e6a0752c1f0d5e9,Domain-Specific Approximation for Object Detection,"© 2018 IEEE. DOI: 10.1109/MM.2018.112130335 © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in @@ -33868,10 +28732,6 @@ promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any opyrighted component of this work in other works. DOI: 0.1109/MM.2018.112130335" -7c1db13ae2c62d1f860fd2664885c9c93a28cab8,Multistage Particle Windows for Fast and Accurate Object Detection,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. -Multi-Stage Particle Windows for Fast and -Accurate Object Detection -Giovanni Gualdi, Andrea Prati, Member, IEEE, and Rita Cucchiara, Member, IEEE" 7c98c27f4be40a7675ba9c85179ce72d12593a7a,Training Bit Fully Convolutional Network for Fast Semantic Segmentation,"Training Bit Fully Convolutional Network for Fast Semantic Segmentation He Wen and Shuchang Zhou and Zhe Liang and Yuxiang Zhang and Dieqiao Feng and Xinyu Zhou and Cong Yao {wenhe, zsc, liangzhe, zyx, fdq, zxy, @@ -33897,20 +28757,6 @@ for fast Object Detection Marco Pedersoli, Jordi Gonz`alez, Andrew D. Bagdanov, and Juan J. Villanueva Dept. Ci`encies de la Computaci´o & Centre de Visi´o per Computador, Edifici O, Campus UAB 08193 Bellaterra (Cerdanyola) Barcelona, Spain" -7cd5d849212c294c452be009ff465ca7d3d923c8,A Brief Survey of Face Recognition Techniques,"(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:2)(cid:2)(cid:3)(cid:3)(cid:4)(cid:4)(cid:5)(cid:5)(cid:6)(cid:6)(cid:7)(cid:7)(cid:1)(cid:1)(cid:8)(cid:8)(cid:1)(cid:1)(cid:9)(cid:9)(cid:1)(cid:1)(cid:10)(cid:10)(cid:5)(cid:5)(cid:6)(cid:6)(cid:11)(cid:11)(cid:7)(cid:7)(cid:12)(cid:12)(cid:1)(cid:1)(cid:13)(cid:13)(cid:1)(cid:1)(cid:14)(cid:14)(cid:15)(cid:15)(cid:12)(cid:12)(cid:16)(cid:16)(cid:17)(cid:17)(cid:1)(cid:1)(cid:13)(cid:13)(cid:18)(cid:18)(cid:19)(cid:19)(cid:20)(cid:20)(cid:1)(cid:1)(cid:21)(cid:21)(cid:1)(cid:1)(cid:22)(cid:22)(cid:7)(cid:7)(cid:23)(cid:23)(cid:24)(cid:24)(cid:1)(cid:1)(cid:13)(cid:13)(cid:18)(cid:18)(cid:19)(cid:19)(cid:20)(cid:20)(cid:1)(cid:1)(cid:23)(cid:23)(cid:23)(cid:23)(cid:25)(cid:25)(cid:1)(cid:1)(cid:13)(cid:13)(cid:18)(cid:18)(cid:21)(cid:21)(cid:26)(cid:26)(cid:27)(cid:27)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1) -(cid:15)(cid:15)(cid:28)(cid:28)(cid:15)(cid:15)(cid:29)(cid:29)(cid:4)(cid:4)(cid:15)(cid:15)(cid:11)(cid:11)(cid:4)(cid:4)(cid:7)(cid:7)(cid:1)(cid:1)(cid:3)(cid:3)(cid:30)(cid:30)(cid:4)(cid:4)(cid:29)(cid:29)(cid:30)(cid:30)(cid:7)(cid:7)(cid:1)(cid:1)(cid:15)(cid:15)(cid:24)(cid:24)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:1)(cid:31)(cid:31)(cid:31)(cid:31)(cid:31)(cid:31)(cid:25)(cid:25)(cid:16)(cid:16) !!(cid:3)(cid:3)(cid:5)(cid:5)(cid:12)(cid:12)(cid:30)(cid:30)(cid:15)(cid:15)(cid:4)(cid:4) (cid:25)(cid:25)(cid:16)(cid:16)(cid:3)(cid:3)(cid:6)(cid:6)(cid:1) -(cid:1) -(cid:1) -AA BBrriieeff SSuurrvveeyy ooff FFaaccee RReeccooggnniittiioonn TTeecchhnniiqquueess -Nilam B. Goswami, Pinal Patel, Chirag I. Patel, Parth Parekh -Post Graduation, CE and IT department, Government Engineering College, Gandhinagar, India" -7c119e6bdada2882baca232da76c35ae9b5277f8,Facial expression recognition using embedded Hidden Markov Model,"Facial Expression Recognition Using Embedded -Hidden Markov Model -Languang He, Xuan Wang, Member, IEEE, Chenglong Yu, Member, IEEE, Kun Wu -Intelligence Computing Research Center -HIT Shenzhen Graduate School -Shenzhen, China -{telent, wangxuan, ycl, wukun}" 7c7158273f0f833329ad86f7f642aedeb161a73c,A video database of human faces under near Infra-Red illumination for human computer interaction applications,"A Video Database of Human Faces under Near Infra-Red Illumination for Human Computer Interaction Aplications S L Happy, Anirban Dasgupta, Anjith George, and Aurobinda Routray @@ -33946,11 +28792,6 @@ ReDMark: Framework for Residual Diffusion Watermarking based on Deep Networks Mahdi Ahmadi, Alireza Norouzi, S.M.Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi and Ali Emami" -7cee802e083c5e1731ee50e731f23c9b12da7d36,2^B3^C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional Networks,"B3C: 2 Box 3 Crop of Facial Image for Gender Classification with Convolutional -Networks -Vandit Gajjar -Department of Electronics and Communication Engineering and -Computer Vision Group, L. D. College of Engineering, Ahmedabad, India" 7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d,Human-In-The-Loop Person Re-Identification,"Human-In-The-Loop Person Re-Identification Hanxiao Wang, Shaogang Gong, Xiatian Zhu, and Tao Xiang" 7c45b5824645ba6d96beec17ca8ecfb22dfcdd7f,News Image Annotation on a Large Parallel Text-image Corpus.,"News image annotation on a large parallel text-image corpus @@ -33958,16 +28799,6 @@ Pierre Tirilly, Vincent Claveau, Patrick Gros Universit´e de Rennes 1/IRISA, CNRS/IRISA, INRIA Rennes-Bretagne Atlantique Campus de Beaulieu 5042 Rennes Cedex, France" -7cb569246ade0393a0ccf2cd0f9fd01921569ecd,An Exploratory Survey on Various Face Recognition Methods Using Component Analysis,"ISSN (Print) : 2319-5940 -ISSN (Online) : 2278-1021 -International Journal of Advanced Research in Computer and Communication Engineering -Vol. 2, Issue 5, May 2013 -An Exploratory Survey on Various Face -Recognition Methods Using Component Analysis -Shamna P1, Paul Augustine2, Tripti C3 -M.Tech Scholar, Dept of CSE, Rajagiri School of Engineering and Technology, Kochi, India1 -Asst. Professor, Dept of CSE, Rajagiri School of Engineering and Technology, Kochi, India2 -Asst. Professor, Dept of CSE, Rajagiri School of Engineering and Technology, Kochi, India3" 7c1802d8d43dfe783650a03f03d41609fa5ae91e,Discriminability Objective for Training Descriptive Captions,"Discriminability objective for training descriptive captions Ruotian Luo TTI-Chicago @@ -34033,17 +28864,9 @@ Enrico Piazza1 Andrea Romanoni1 Matteo Matteucci1" Ra´ul Mart´ın-F´elez, Ram´on A. Mollineda, and J. Salvador S´anchez Institute of New Imaging Technologies (INIT) Universitat Jaume I. Av. Sos Baynat s/n, 12071, Castell´o de la Plana, Spain" -519f4eb5fe15a25a46f1a49e2632b12a3b18c94d,Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines,"Non-Lambertian Reflectance Modeling and -Shape Recovery of Faces using Tensor Splines -Ritwik Kumar, Student Member, IEEE, Angelos Barmpoutis, Member, IEEE, -Arunava Banerjee, Member, IEEE, and Baba C. Vemuri, Fellow, IEEE" 51bfc693d170b4171f5bd9f9aed51f1fe8b5304d,Zero-shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels AAAI Anonymous Submission 182,"Zero-shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels AAAI Anonymous Submission 182" -513d9d0fdc9efa0f042ed1a3c8eab1fbb564f67b,Efficient Processing of Deep Neural Networks: A Tutorial and Survey,"Efficient Processing of Deep Neural Networks: -A Tutorial and Survey -Vivienne Sze, Senior Member, IEEE, Yu-Hsin Chen, Student Member, IEEE, Tien-Ju Yang, Student -Member, IEEE, Joel Emer, Fellow, IEEE" 5121f42de7cb9e41f93646e087df82b573b23311,Classifying Online Dating Profiles on Tinder using FaceNet Facial Embeddings,"CLASSIFYING ONLINE DATING PROFILES ON TINDER USING FACENET FACIAL EMBEDDINGS Charles F. Jekel and Raphael T. Haftka @@ -34101,10 +28924,6 @@ Sorbonne Universit´es, UPMC Univ Paris 06, UMR 7606, LIP6, F-75005, Paris, Fran Prajjwal Bhargava SRM University Chennai" -519db7bb7d1778bddfbe3725220756627373d69a,A Comparative Study of Local Matching Approach for Face Recognition,"A Comparative Study of Local Matching -Approach for Face Recognition -Jie Zou, Member, IEEE, Qiang Ji, Senior Member, IEEE, and George Nagy, Fellow, IEEE -to holistic methods," 51d97f4e4385a3da78bf9277a5426216198698c3,Improving the Accuracy of Face Detection for Damaged Video and Distant Targets,"Improving the Accuracy of Face Detection for Damaged Video and Distant Targets Department of Communication Engineering, Oriental Institute of Technology, New Taiepi City, Taiwan @@ -34157,9 +28976,6 @@ Media Security and IT Forensics – Fraunhofer Institute for Secure Information 51cf3fa26b7c31c10427317fb5d72a6712023279,What Shape Is Your Conjugate? A Survey of Computational Convex Analysis and Its Applications,"A SURVEY OF COMPUTATIONAL CONVEX ANALYSIS AND ITS APPLICATIONS WHAT SHAPE IS YOUR CONJUGATE? YVES LUCET" -5157dde17a69f12c51186ffc20a0a6c6847f1a29,Evolutionary Cost-sensitive Extreme Learning Machine and Subspace Extension,"Evolutionary Cost-sensitive Extreme Learning -Machine -Lei Zhang, Member, IEEE, and David Zhang, Fellow, IEEE" 51a9f9dcffad494cb88b949b7e98e7e11240a015,A Hybrid Face Recognition Approach Using GPUMLib,"A Hybrid Face Recognition Approach Using GPUMLib Noel Lopes1,2 and Bernardete Ribeiro1 @@ -34202,14 +29018,6 @@ Shared Randomized Vocabularies (1 / 44)" 5146832515ba8b4ad48372967d9fb7dcdea61869,CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks,"Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers, pages 646–654, Berlin, Germany, August 11-12, 2016. c(cid:13)2016 Association for Computational Linguistics" -516a27d5dd06622f872f5ef334313350745eadc3,Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model,"> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < -Fine-Grained Facial Expression Analysis Us- -ing Dimensional Emotion Model -ǂFeng Zhou, ǂShu Kong, Charless C. Fowlkes, Tao Chen, *Baiying Lei, Member, IEEE" -517cc1084952133b6d2ecd0a535cdc3ddf8955d7,A Graphical Social Topology Model for Multi-Object Tracking,"A Graphical Social Topology Model for -Multi-Object Tracking -Shan Gao, Xiaogang Chen, Qixiang Ye, Senior Member, IEEE, Arjan Kuijper, Member, IEEE, -Xiangyang Ji, Member, IEEE," 51ab92566306c2f26e8415b451f3dd1f83f59008,The USC CreativeIT database of multimodal dyadic interactions: from speech and full body motion capture to continuous emotional annotations,"The USC CreativeIT Database of Multimodal Dyadic Interactions: From Speech and Full Body Motion Capture to Continuous Emotional Annotations @@ -34221,38 +29029,11 @@ March 23, 2015" Embedded System for Human-Robot Interaction Yang-Bok Lee1, Seung-Bin Moon1, and Yong-Guk Kim 1* School of Computer Engineering, Sejong University, Seoul, Korea" -5161e38e4ea716dcfb554ccb88901b3d97778f64,SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person,"SSPP-DAN: DEEP DOMAIN ADAPTATION NETWORK FOR -FACE RECOGNITION WITH SINGLE SAMPLE PER PERSON -Sungeun Hong, Woobin Im, Jongbin Ryu, Hyun S. Yang -School of Computing, KAIST, Republic of Korea" 51c7c5dfda47647aef2797ac3103cf0e108fdfb4,Cs 395t: Celebrity Look-alikes *,"CS 395T: Celebrity Look-Alikes ∗ Adrian Quark" -514fdf2152dda3a39fc05eb6e1c80314837d96a2,Detailed 3D Representations for Object Recognition and Modeling,"Detailed 3D Representations for -Object Recognition and Modeling -M. Zeeshan Zia, Student Member, IEEE, Michael Stark, Member, IEEE, -Bernt Schiele, Member, IEEE, and Konrad Schindler, Member, IEEE" 51c7236feaa2ae23cef78c7bca75c69d7081e24a,Deep multi-frame face super-resolution,"Deep multi-frame face super-resolution Evgeniya Ustinova, Victor Lempitsky October 17, 2017" -ddbb6e0913ac127004be73e2d4097513a8f02d37,Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis,"IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 1, NO. 3, SEPTEMBER 1999 -Face Detection Using Quantized Skin Color -Regions Merging and Wavelet Packet Analysis -Christophe Garcia and Georgios Tziritas, Member, IEEE" -dd72ed9a30e4d04703487df29a8762940bd79967,Image Retrieval based on LBP Transitions,"International Journal of Computer Applications (0975 – 8887) -Volume 101– No.16, September 2014 -Image Retrieval based on LBP Transitions -A. Srinivasa Rao -Assoc.Prof in CSE Dept. -MSSISTCE -Mylavaram, Vijayawada -V.Venkata Krishna -Professor in CSE Dept. -GIET, Rajahmundry -Andhra Pradesh, India -A.Obulesu -Asst.Prof in CSE Dept. -AGI (Autonomous), Hyderabad -Telanganastate, India" ddbfea5302fcb5cbc2ca4c498a592ddb063b9eff,L Ow Supervision Visual Learning through Cooperative Agents,"Low-supervision visual learning through cooperative agents Ashish Bora Abhishek Sinha" @@ -34300,11 +29081,6 @@ SenseTime Research ddfde5d6f4e720aeb770a20e4197db3a0c279958,Learning Convolutional Text Representations for Visual Question Answering,"Learning Convolutional Text Representations for Visual Question Answering Zhengyang Wang∗ Shuiwang Ji†" -dd8084b2878ca95d8f14bae73e1072922f0cc5da,"Model Distillation with Knowledge Transfer in Face Classification, Alignment and Verification","Model Distillation with Knowledge Transfer from -Face Classification to Alignment and Verification -Chong Wang∗, Xipeng Lan and Yangang Zhang -Beijing Orion Star Technology Co., Ltd. Beijing, China -{chongwang.nlpr, xipeng.lan," dda7bb490171a1d3364928fb8143bbe021146c5f,Local Shape Spectrum Analysis for 3D Facial Expression Recognition,"Local Shape Spectrum Analysis for 3D Facial Expression Recognition Department of Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain Dmytro Derkach and Federico M. Sukno" @@ -34322,14 +29098,6 @@ dd7ed20a65d811dcf863f796d6dcbe873f57e7c4,Object Detection Via Structural Feature Selection and Shape Model Huigang Zhang, Xiao Bai, Jun Zhou, Senior Member, IEEE, Jian Cheng and Huijie Zhao" -dd5ef2a12753c5c923fa6b8033384db7875acf95,Upper Body Detection and Feature Set Evaluation for Body Pose Classification,"Upper Body Detection and Feature Set Evaluation for Body Pose -Classification -Laurent Fitte-Duval, Alhayat Ali Mekonnen and Fr´ed´eric Lerasle -CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France -Universit´e de Toulouse, UPS, LAAS, F-31400 Toulouse, France -Keywords: -Upper Body Detection, Body Pose Classification, Fast Feature Pyramid, Sparse Classification, Aggregated -Channel Features, Feature Evaluation" ddcb77d09e4e9e2a948f9ffe7eaa5554dceb8ce3,Revisiting Cross Modal Retrieval, ddeb017c0452f14690ce240c90128d979289ab5f,A Comprehensive Survey on Human Skin Detection,"I.J. Image, Graphics and Signal Processing, 2016, 5, 1-35 Published Online May 2016 in MECS (http://www.mecs-press.org/) @@ -34370,14 +29138,6 @@ ddefb92908e6174cf48136ae139efbb4bd198896,Feature-wise Bias Amplification,"Under FEATURE-WISE BIAS AMPLIFICATION Anonymous authors Paper under double-blind review" -ddf099f0e0631da4a6396a17829160301796151c,Chen et al . Face Quality Value : Input : Feat -‐ 5 Features : L 2 R + PKM Model : Feat -‐,"IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY -Learning Face Image Quality from -Human Assessments -Lacey Best-Rowden, Member, IEEE, and Anil K. Jain, Life Fellow, IEEE" -dd8d53e67668067fd290eb500d7dfab5b6f730dd,A Parameter-Free Framework for General Supervised Subspace Learning,"A Parameter-Free Framework for General -Supervised Subspace Learning -Shuicheng Yan, Member, IEEE, Jianzhuang Liu, Senior Member, IEEE, Xiaoou Tang, Senior Member, IEEE, -nd Thomas S. Huang, Life Fellow, IEEE" dde5125baefa1141f1ed50479a3fd67c528a965f,Synthesizing Normalized Faces from Facial Identity Features,"Synthesizing Normalized Faces from Facial Identity Features Forrester Cole1 David Belanger1,2 Dilip Krishnan1 Aaron Sarna1 Inbar Mosseri1 William T. Freeman1,3 Google, Inc. 2University of Massachusetts Amherst 3MIT CSAIL @@ -34399,10 +29159,6 @@ Bernhard Pfahringer† Michael Cree‡ Department of Computer Science, University of Waikato, Hamilton, New Zealand School of Engineering, University of Waikato, Hamilton, New Zealand" -59d66790ac1db459ba78ed0147cde7c66e7ed0c5,Ensemble-based discriminant learning with boosting for face recognition,"Ensemble-Based Discriminant Learning -With Boosting for Face Recognition -Juwei Lu, Member, IEEE, K. N. Plataniotis, Senior Member, IEEE, A. N. Venetsanopoulos, Fellow, IEEE, and -Stan Z. Li" 59d0d7ccec2db66cad20cac5721ce54a8a058294,Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference,"Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference Benoit Jacob @@ -34510,10 +29266,6 @@ Gatsby Unit, UCL, London, United Kingdom Christoph von der Malsburg Frankfurt Institute for Advanced Studies, JWG University, Ruth-Moufang-Str. 1, Frankfurt am Main, Germany Keywords:" -59b202ccc01bae85a88ad0699da7a8ae6aa50fef,"Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis","Looking at Vehicles on the Road: A Survey of -Vision-Based Vehicle Detection, Tracking, -nd Behavior Analysis -Sayanan Sivaraman, Member, IEEE, and Mohan Manubhai Trivedi, Fellow, IEEE" 59c9d416f7b3d33141cc94567925a447d0662d80,Matrix factorization over max-times algebra for data mining,"Universität des Saarlandes Max-Planck-Institut für Informatik Matrix factorization over max-times @@ -34561,31 +29313,6 @@ Chuang Gan MIT-IBM Watson AI Lab Song Han" 59da714d643757871bf3a48757a5919b9b577e89,A Statistical Quadtree Decomposition to Improve Face Analysis, -5955bb0325ec4dd3b56759aeb96cc9c18b09bf3e,Self-Supervised Depth Learning Improves Semantic Segmentation,"Self-Supervised Depth Learning Improves Semantic Segmentation -Huaizu Jiang, Erik Learned-Miller -Univ. of Massachusetts, Amherst -Amherst MA 01003 -. Introduction -How does a newborn agent learn about the world? -When an animal (or robot) moves, its visual system is -exposed to a shower of information. Usually, the speed -with which something moves in the image is inversely -proportional to its depth.1 As an agent continues to -experience visual stimuli under its own motion, it is -natural for it to form associations between the appear- -nce of objects and their relative motion in the image. -For example, an agent may learn that objects that look -like mountains typically don’t move in the image (or -hange appearance much) as the agent moves. Objects -like nearby cars and people, however, appear to move -rapidly in the image as the agent changes position rel- -tive to them. This continuous pairing of images with -motion acts as a kind of “automatic” supervision that" -59a35b63cf845ebf0ba31c290423e24eb822d245,The FaceSketchID System: Matching Facial Composites to Mugshots,"The FaceSketchID System: Matching Facial -Composites to Mugshots -Scott J. Klum, Student Member, IEEE, Hu Han, Member, IEEE, Brendan F. Klare, Member, IEEE, -nd Anil K. Jain, Fellow, IEEE -tedious, and may not" 599b7e1b4460c8ad77def2330ec76a2e0dfedb84,Robust Subspace Clustering via Smoothed Rank Approximation,"Robust Subspace Clustering via Smoothed Rank Approximation Zhao Kang, Chong Peng, and Qiang Cheng∗" @@ -34649,9 +29376,6 @@ Videos Serena Yeung · Olga Russakovsky · Ning Jin · Mykhaylo Andriluka · Greg Mori · Li Fei-Fei Received: date / Accepted: date" -59cca46a0442fc6bd0525e5f13cef5b5a9747d34,Cross-Domain Shoe Retrieval With a Semantic Hierarchy of Attribute Classification Network,"Cross-Domain Shoe Retrieval With a Semantic -Hierarchy of Attribute Classification Network -Huijing Zhan, Student Member, IEEE, Boxin Shi, Member, IEEE, and Alex C. Kot, Fellow, IEEE" 59c194bc84d604baf09241238dc47806a998df70,Building a post-compression region-of-interest encryption framework for existing video surveillance systems,"(will be inserted by the editor) Building a Post-Compression Region-of-Interest Encryption Framework for Existing Video Surveillance Systems @@ -34735,10 +29459,6 @@ on Tourist Interests and Preferences *Department of Computing and Information Systems, The University of Melbourne, Australia Victoria Research Laboratory, National ICT Australia, Australia Kwan Hui Lim*†" -2559b15f8d4a57694a0a33bdc4ac95c479a3c79a,Contextual Object Localization With Multiple Kernel Nearest Neighbor,"Contextual Object Localization With Multiple -Kernel Nearest Neighbor -Brian McFee, Student Member, IEEE, Carolina Galleguillos, Student Member, IEEE, and -Gert Lanckriet, Member, IEEE" 25ae83767c926898047bbc50971b5b11de34e12a,Detection and Tracking of Occluded People,"Noname manuscript No. (will be inserted by the editor) Detection and Tracking of Occluded People @@ -34805,8 +29525,6 @@ Shiro Kumano · Kazuhiro Otsuka · Junji Yamato · Eisaku Maeda · Yoichi Sato Received: date / Accepted: date" 25b83cffddff334d78c55db4d67c65b1d8999b2f,Optimization of Person Re-Identification through Visual Descriptors, -258da7c0f7bdfad019f9affbd3469081d1c12661,Adaptive Image Denoising by Mixture Adaptation,"Adaptive Image Denoising by Mixture Adaptation -Enming Luo, Student Member, IEEE, Stanley H. Chan, Member, IEEE, and Truong Q. Nguyen, Fellow, IEEE" 25e3fd1074968896fca45be20ca1d678438081fc,Group Invariant Deep Representations for Image Instance Retrieval, 25bb4212af72d64ec20cac533f58f7af1472e057,Person Re-Identification by Camera Correlation Aware Feature Augmentation,"Person Re-Identification by Camera Correlation Aware Feature Augmentation @@ -34823,11 +29541,6 @@ uthor={Chen, Ying-Cong and Zhu, Xiatian and Zheng, Wei-Shi and Lai, Jian-Huang}, (DOI: 10.1109/TPAMI.2017.2666805)}" 25982e2bef817ebde7be5bb80b22a9864b979fb0,Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines,"(a)26facialfeaturepointsthatwetrack(b)oneexamplesequenceFigure1.Facialfeaturepointtrackingunderexpressionvariationandocclusion.Inrecentyears,thesemodelshavebeenusedexplicitlytohandletheshapevariations[17][5].Thenonlinearityem-beddedinRBManditsvariantsmakesthemmoreeffectiveandefficienttorepresentthenonrigiddeformationsofob-jectscomparedtothelinearmethods.Theirlargenumberofhiddennodesanddeeparchitecturesalsocanimposesuffi-cientconstraintsaswellasenoughdegreesoffreedomsintotherepresentationsofthetargetobjects.Inthispaper,wepresentaworkthatcaneffectivelytrackfacialfeaturepointsusingfaceshapepriormodelsthatareconstructedbasedonRBM.Thefacialfeaturetrackercantrack26facialfeaturepoints(Fig.1(a))eveniffaceshavedifferentfacialexpressions,varyingposes,orocclu-sion(Fig.1(b)).Unlikethepreviousworksthattrackfacialfeaturepointsindependentlyorbuildashapemodeltocap-turethevariationsoffaceshapeorappearanceregardlessofthefacialexpressionsandfaceposes,theproposedmodelcouldcapturethedistinctionsaswellasthevariationsoffaceshapesduetofacialexpressionandposechangeinaunifiedframework.Specifically,wefirstconstructamodel1" -25ed9bd6c5febac832f3d68b96123e6ba013df83,Object segmentation by alignment of poselet activations to image contours,"Object Segmentation by Alignment of Poselet Activations to Image Contours -Thomas Brox1, Lubomir Bourdev2,3, Subhransu Maji2, and Jitendra Malik2∗ -University of California at Berkeley -University of Freiburg, Germany -Adobe Systems Inc., San Jose, CA" 25894be540936562953f37fbbcff69e5ac17a494,Semantic Image Retrieval via Active Grounding of Visual Situations,"Semantic Image Retrieval via Active Grounding of Visual Situations Max H. Quinn1, Erik Conser1, Jordan M. Witte1, and Melanie Mitchell1,2 @@ -34893,10 +29606,6 @@ SPARSITY REGULARIZER OTNIEL Y. VIKTORISA, 2ITO WASITO, 2ARIDA F. SYAFIANDINI Faculty of Computer of Computer Science, Universitas Indonesia, Kampus UI Depok, Indonesia E-mail: ," -25403c52a7c3092866773b0e765ab55841d3cb67,Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos,"Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos -Tahmida Mahmud1, Mahmudul Hasan2, Amit K. Roy-Chowdhury1 -University of California, Riverside, CA-92521, USA -Comcast Labs, Washington, DC-20005, USA" 25474c21613607f6bb7687a281d5f9d4ffa1f9f3,Recognizing disguised faces,"This article was downloaded by: [Carnegie Mellon University] On: 03 May 2012, At: 06:22 Publisher: Psychology Press @@ -34940,9 +29649,6 @@ Assam Don Bosco University" Michel F. Valstar, Bihan Jiang, Marc Mehu, Maja Pantic, and Klaus Scherer" 25811285a1c1fd514b315d6a05adc2cb4abe9618,"DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes","DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes Berta Bescos, Jos´e M. F´acil, Javier Civera and Jos´e Neira" -25f1a5121cb7fb67749a6f6dbc27fd48f177d5fb,Context-Aware Hypergraph Modeling for Re-identification and Summarization,"Context-Aware Hypergraph Modeling for -Re-identification and Summarization -Santhoshkumar Sunderrajan, Member, IEEE, and B. S. Manjunath, Fellow, IEEE" 250ebcd1a8da31f0071d07954eea4426bb80644c,DenseBox: Unifying Landmark Localization with End to End Object Detection,"DenseBox: Unifying Landmark Localization with End to End Object Detection Lichao Huang1 @@ -34951,8 +29657,6 @@ Yafeng Deng2 Institute of Deep Learning Baidu Research Yinan Yu3" -25e05a1ea19d5baf5e642c2a43cca19c5cbb60f8,Label Distribution Learning,"Label Distribution Learning -Xin Geng*, Member, IEEE" 250449a9827e125d6354f019fc7bc6205c5fd549,Adversarial Reconstruction Loss,"PAIRWISE AUGMENTED GANS WITH ADVERSARIAL RECONSTRUCTION LOSS Aibek Alanov1,2,3∗, Max Kochurov1,2∗, Daniil Yashkov5, Dmitry Vetrov1,3,4 @@ -34961,30 +29665,8 @@ Skolkovo Institute of Science and Technology National Research University Higher School of Economics Joint Samsung-HSE lab 5Federal Research Center ""Informatics and Management"" of the Russian Academy of Sciences" -253d2fd2891a97d4caa49d87094dac1ec18c7752,Bio-authentication for Layered Remote Health Monitor Framework,"JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 23/2014, ISSN 1642-6037 -Remote Health Monitor, Security Issues, -Multi-Factor Biometric Authentication, -Keystroke Analysis, Face Recognition -Tapalina BHATTASALI1, Khalid SAEED2, Nabendu CHAKI1, Rituparna CHAKI3 -BIO-AUTHENTICATION FOR LAYERED REMOTE -HEALTH MONITOR FRAMEWORK -Aged people, patients with chronic disease, patients at remote location need continuous monitoring under -healthcare professionals. Remote health monitor is likely to be an effective approach to provide healthcare service -in a simple and cost effective way. However, effective implementation of this type of framework needs consid- -eration of variety of security threats. In this paper, a layer based remote health monitor framework is proposed -to analyze health condition of patients from remote places. Beside this, a multi-modal biometric authentication -mechanism is proposed here to reduce misuse of health data and biometrics templates in heterogeneous cloud -environment. Main focus of the paper is to design semi-continuous authentication mechanism after establishing -mutual 1:1 trust relationship among the participants in cloud environment. Behavioral biometrics keystroke -nalysis is fused with physiological biometrics face recognition to enhance accuracy of authentication. Instead of -onsidering traditional performance evaluation parameters for biometrics, this paper considers a few performance -metrics for determining efficiency of semi-continuous verification of the proposed framework. -. INTRODUCTION -Remote health monitor provides healthcare service for patients from remote locations to support" 25afa24d85e693351bad795ee1c3e801d10c4a15,"Anisotropic Gaussian Filters for Face Class Modeling August 31 , 2006","Anisotropic Gaussian Filters for Face Class Modeling August 31, 2006" -2597b0dccdf3d89eaffd32e202570b1fbbedd1d6,Towards Predicting the Likeability of Fashion Images,"Towards predicting the likeability of fashion images -Jinghua Wang, Abrar Abdul Nabi, Gang Wang, Member, IEEE, Chengde Wan, Tian-Tsong Ng, Member, IEEE," 258972e9df3cdf0b8babbf607eaef7cce689226a,Multimodal Affect Recognition: Current Approaches and Challenges,"We are IntechOpen, the world’s leading publisher of Open Access books @@ -35005,10 +29687,6 @@ in Web of Science™ Core Collection (BKCI) Interested in publishing with us? Contact Numbers displayed above are based on latest data collected." -2594bf77a1fef68d86be74a2cb79c55499cb2bec,Learning Invariant Color Features for Person Reidentification,"Learning Invariant Color Features for -Person Re-Identification -Rahul Rama Varior, Student Member, IEEE, -Gang Wang, Member, IEEE Jiwen Lu, Member, IEEE" 25c57d1916c926bea3d92548f1c9836cffc23fe5,Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision,"Automatic Ground Truths: Projected Image Annotations for Omnidirectional Vision Victor Stamatescu∗, Peter Barsznica∗, Manjung Kim ∗, Kin K. Liu∗, Mark McKenzie†, @@ -35176,9 +29854,6 @@ Recognition in Large Dataset Sameh MEGRHI1, Marwa JMAL 2, Azeddine BEGHDADI1 and Wided Mseddi1,2 L2TI, Institut Galil´ee, Universit´e Paris 13, France; SERCOM, Ecole Polytechnique de Tunisie" -558c4917dc9a1d34f62c0ab713b1b9a37ad04853,Action Recognition Using Multilevel Features and Latent Structural SVM,"Action Recognition Using Multilevel Features and -Latent Structural SVM -Xinxiao Wu, Dong Xu, Member, IEEE, Lixin Duan, Jiebo Luo, Fellow, IEEE, and Yunde Jia, Member, IEEE" 5556234869c36195ffdcd29349e5dcdf695023e9,Minimum Distance between Pattern Transformation Manifolds: Algorithm and Applications,"JULY 2009 Minimum Distance between Pattern Transformation Manifolds: @@ -35299,10 +29974,6 @@ pplications of current interest. OBJECTIVES" 55c68c1237166679d2cb65f266f496d1ecd4bec6,Learning to score the figure skating sports videos,"Learning to Score Figure Skating Sport Videos Chengming Xu, Yanwei Fu, Zitian Chen,Bing Zhang, Yu-Gang Jiang, Xiangyang Xue" -5531e728850185b80835a78db2e4fd23e288f359,Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods,"Reading Hidden Emotions: Spontaneous -Micro-expression Spotting and Recognition -Xiaobai Li, Student Member, IEEE, Xiaopeng Hong, Member, IEEE, Antti Moilanen, Xiaohua Huang, Student -Member, IEEE, Tomas Pfister, Guoying Zhao, Senior Member, IEEE, and Matti Pietik¨ainen, Fellow, IEEE" 550edcdc27aff4e7ea8807356a265a0031434a49,Fine-Grained Recognition with Automatic and Efficient Part Attention,"Fine-Grained Recognition with Automatic and Efficient Part Attention Xiao Liu, Tian Xia, Jiang Wang, Yi Yang, Feng Zhou and Yuanqing Lin Baidu Research @@ -35316,10 +29987,6 @@ Toby P. Breckon Engineering and Computer Science Durham University Durham, UK" -5520acfa1f4e678f1abbaab67ec76e903c3d3bdc,SALSA: A Novel Dataset for Multimodal Group Behavior Analysis,"SALSA: A Novel Dataset for Multimodal Group -Behavior Analysis -Xavier Alameda-Pineda, Jacopo Staiano, Ramanathan Subramanian, Member, IEEE, Ligia Batrinca, -Elisa Ricci, Member, IEEE, Bruno Lepri, Oswald Lanz, Member, IEEE, Nicu Sebe, Senior Member, IEEE" 55202f10bb1d7640b0b279a4cdc8e9925cd9ef81,ICM: An Intuitive Model Independent and Accurate Certainty Measure for Machine Learning, 559295770dc2e2e3a1348df31ac5c3f3e66f1764,Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections,"Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections Johns Hopkins University @@ -35330,12 +29997,6 @@ Ehsan Jahangiri Baltimore, USA" 558c587373e2ea44898f70de7858da71aa217b8d,Cross-Lingual Image Caption Generation,"Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, pages 1780–1790, Berlin, Germany, August 7-12, 2016. c(cid:13)2016 Association for Computational Linguistics" -5550a6df1b118a80c00a2459bae216a7e8e3966c,A perusal on Facial Emotion Recognition System ( FERS ),"ISSN: 0974-2115 -www.jchps.com Journal of Chemical and Pharmaceutical Sciences -A perusal on Facial Emotion Recognition System (FERS) -School of Information Technology and Engineering, VIT University, Vellore, 632014, India -Krithika L.B -*Corresponding author: E-Mail:" 55e8cfd4a96bdc77d10459c0aa73991ff098c60e,Nonnegative Discriminant Matrix Factorization,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2016.2539779, IEEE Transactions on Circuits and Systems for Video Technology Copyright (c) 2016 IEEE. Personal use of this material is permitted. However, permission to use this material for any other purposes @@ -35491,26 +30152,6 @@ uthor={Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, F Jianhuang Lai}, journal={ International Joint Conference on Artificial Intelligence}, year={2018}" -4ea253a391f804f0045a20e6ef1ae6e92cd0ba55,5 Image Compression Effects in Face Recognition Systems,"Image Compression Effects in Face Recognition -Systems -Kresimir Delac, Mislav Grgic and Sonja Grgic -University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb -Croatia -image experimental setups are often researched, but only -. Introduction -With the growing number of face recognition applications in everyday life, image- and -video-based recognition methods are becoming important research topic (Zhao et al., 2003). -Effects of pose, illumination and expression are issues currently most studied in face -recognition. So far, very little has been done to investigate the effects of compression on face -recognition, even though the images are mainly stored and/or transported in a compressed -format. Still-to-still -uncompressed image formats. Still-to-video research (Zhou et al., 2003) mostly deals with -issues of tracking and recognizing faces in a sense that still uncompressed images are used -s a gallery and compressed video segments as probes. -In this chapter we analyze the effects that standard image compression methods - JPEG -(Wallace, 1991) and JPEG2000 (Skodras et al., 2001) - have on three well known subspace -ppearance-based face recognition algorithms: Principal Component Analysis - PCA (Turk -& Pentland, 1991), Linear Discriminant Analysis - LDA (Belhumeur et al., 1996) and" 4e6ff8ff80a1610bb841b669bb7667413ed2982f,Dependence Characteristics of Face Recognition Algorithms,"Dependence Characteristics of Face Recognition Algorithms Patrick Grother, P. Jonathon Phillips, Stefan Leighy, Alan Heckerty, @@ -35589,11 +30230,6 @@ Arijit Biswas 3" 4e6c9be0b646d60390fe3f72ce5aeb0136222a10,Long-Term Temporal Convolutions for Action Recognition,"Long-term Temporal Convolutions for Action Recognition G¨ul Varol, Ivan Laptev, and Cordelia Schmid, Fellow, IEEE" -4eb0b82b294f601510cd965adcf0e8c386cbaf22,Face Detection for Augmented Reality Application Using Boosting-based Techniques,"Face Detection for Augmented Reality Application -Using Boosting-based Techniques -Youssef Hbali1, Lahoucine Ballihi2, Mohammed Sadgal1, El Fazziki Abdelaziz1 -Cadi Ayyad University. B.P. 2390, Avenue Prince My Abdellah, Marrakech, Morocco -LRIT-CNRST URAC 29, Mohammed V University In Rabat, Faculty of Sciences Rabat, Morocco" 4e0e49c280acbff8ae394b2443fcff1afb9bdce6,Automatic Learning of Gait Signatures for People Identification,"Automatic learning of gait signatures for people identification F.M. Castro Univ. of Malaga @@ -35629,10 +30265,6 @@ Clouds Yizhak Ben-Shabat · Tamar Avraham · Michael Lindenbaum · Anath Fischer Received: date / Accepted: date" -4e1d7bad6cde28e65b12c5824b1016859e1ae704,Enhanced Face Recognition Using Discrete Cosine Transform,"Enhanced Face Recognition Using Discrete -Cosine Transform -Zahraddeen Sufyanu, Member, IAENG, Fatma S. Mohamad, Abdulganiyu A. Yusuf, and Mustafa B. -Mamat" 4e19917a786c611ffdecd171fae37183ad55ad49,A survey of practical adversarial example attacks,"Sun et al. Cybersecurity (2018) 1:9 https://doi.org/10.1186/s42400-018-0012-9 SURVEY @@ -35647,22 +30279,7 @@ Christopher Pramerdorfer, Martin Kampel Computer Vision Lab, TU Wien Vienna, Austria Email:" -4ea6954b47baec061fa3f3e1228833eba7be07f9,Multi-pseudo Regularized Label for Generated Data in Person Re-Identification.,"Multi-pseudo Regularized Label for Generated Data -in Person Re-Identification -Yan Huang, Jingsong Xu, Qiang Wu, Member, IEEE Zhedong Zheng, Zhaoxiang Zhang, Senior Member, IEEE -nd Jian Zhang, Senior Member, IEEE" 4e82908e6482d973c280deb79c254631a60f1631,Improving Efficiency and Scalability in Visual Surveillance Applications, -4e4a47e2d285e55f3d0b6d449d6b9893615db5cd,Use of l2/3-norm Sparse Representation for Facial Expression Recognition,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Impact Factor (2012): 3.358 -Use of ℓ2/3-norm Sparse Representation for Facial -Expression Recognition -Sandeep Rangari1, Sandeep Gonnade2 -MATS University, MATS School of Engineering and Technology, Arang, Raipur, India -MATS University, MATS School of Engineering and Technology, Arang, Raipur, India -three -to discriminate -represents emotion," 4eaaefc53fd61d27b9ce310c188fe76003a341bd,Assessing Generative Models via Precision and Recall,"Assessing Generative Models via Precision and Recall Mehdi S. M. Sajjadi∗ MPI for Intelligent Systems, @@ -35762,16 +30379,6 @@ Action Classification and Detection Mohammadreza Zolfaghari , Gabriel L. Oliveira, Nima Sedaghat, and Thomas Brox University of Freiburg Freiburg im Breisgau, Germany" -ea3353efbe7b856ced106718d04ea7d83e2a2310,A Survey of Video Object Tracking,"International Journal of Control and Automation -Vol. 8, No. 9 (2015), pp. 303-312 -http://dx.doi.org/10.14257/ijca.2015.8.9.29 -A Survey of Video Object Tracking -Meng Li, Zemin Cai1, Chuliang Wei and Ye Yuan -Department of Electronic Engineering, College of Engineering, Shantou -University, China -Guangdong Provicial Key Laboratory of Digital Signal and Image Processing -Techniques, China -Corresponding author," ea572991a75acfc8a8791955f670d2c48db49023,Arbitrary-Shape object localization using adaptive image grids,"Arbitrary-Shape Object Localization using Adaptive Image Grids Chunluan Zhou and Junsong Yuan @@ -35783,11 +30390,6 @@ nd Self-Organizing Map Miloš ORAVEC, Jarmila PAVLOVIČOVÁ Dept. of Telecommunications, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovičova 3, 812 19 Bratislava, Slovak Republic" -eac6aee477446a67d491ef7c95abb21867cf71fc,A Survey of Sparse Representation: Algorithms and Applications,"JOURNAL -A survey of sparse representation: algorithms and -pplications -Zheng Zhang, Student Member, IEEE, Yong Xu, Senior Member, IEEE, -Jian Yang, Member, IEEE, Xuelong Li, Fellow, IEEE, and David Zhang, Fellow, IEEE" ea8cb4a79b211fb288f747bdd64b3fc36e11c0fc,Chapter 10 Automatic Facial Action Unit Recognition by Modeling Their Semantic And Dynamic Relationships,"Chapter 10 Automatic Facial Action Unit Recognition y Modeling Their Semantic And Dynamic @@ -36045,15 +30647,6 @@ Tim K. Marks Michael Jones Mitsubishi Electric Research Laboratories (MERL) 01 Broadway, Cambridge, MA 02139" -2709bb385ce53c83a5fe952d54a4c5e5786c0849,Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios,"C. K¨ading, E. Rodner, A. Freytag, J. Denzler -Fine-tuning Deep Neural Networks in Continuous Learning Scenarios -ACCV 2016 Workshop on Interpretation and Visualization of Deep Neural Nets -(cid:13) Copyright by Springer. The final publication will be available at http://link.springer.com/ -Fine-tuning Deep Neural Networks in Continuous -Learning Scenarios -Christoph K¨ading1,2, Erik Rodner1,2, Alexander Freytag1,2, and Joachim Denzler1,2 -Computer Vision Group, Friedrich Schiller University Jena, Germany -Michael Stifel Center Jena, Germany" 2713423d87d011c0a5aae99bef57523769121a1d,A Codebook Design Method for Robust VQ-Based Face Recognition Algorithm,"J. Software Engineering & Applications, 2010, 3: 119-124 A Codebook Design Method for Robust VQ-Based Face Recognition Algorithm @@ -36084,12 +30677,6 @@ more information contact" Hui Ding,1 Hao Zhou,2 Shaohua Kevin Zhou,3 Rama Chellappa4 ,2,4University of Maryland, College Park Siemens Healthineers, New Jersey" -27ae7c8c650ffef74c465640f423d9008014e1ca,Dimensionality Reduction with Adaptive Approximation,"TobepublishedintheProceedingsofIEEEICME2007,Beijing,China -DIMENSIONALITY REDUCTION WITH ADAPTIVE APPROXIMATION -Effrosyni Kokiopoulou and Pascal Frossard -Ecole Polytechnique F´ed´erale de Lausanne (EPFL) -Signal Processing Institute - ITS -CH- 1015 Lausanne, Switzerland" 2734b3a6345396499b2b7c6cc1b43fc7e9b375ee,Full-System Simulation of big.LITTLE Multicore Architecture for Performance and Energy Exploration,"Full-System Simulation of big.LITTLE Multicore Architecture for Performance and Energy Exploration @@ -36103,10 +30690,6 @@ Email:" Bin Qi1,2, Vijay John1,2, Zheng Liu1,2, and Seiichi Mita2 Intelligent Information Processing Laboratory, Toyota Technological Institute, Nagoya, Japan, Research Centre for Smart Vehicles, Toyota Technological Institute, Nagoya, Japan," -27b1670e1b91ab983b7b1ecfe9eb5e6ba951e0ba,Comparison between k-nn and svm method for speech emotion recognition,"Comparison between k-nn and svm method -for speech emotion recognition -Muzaffar Khan, Tirupati Goskula, Mohmmed Nasiruddin ,Ruhina Quazi -Anjuman College of Engineering & Technology ,Sadar, Nagpur, India" 27b87bdee46964757b83b5afb4184e438cad6b1b,Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition,"Sequence Searching with Deep-learnt Depth for Condition- and Viewpoint- invariant Route-based Place Recognition Michael Milford, Stephanie Lowry, Niko @@ -36146,23 +30729,6 @@ Johns Hopkins University" Homography Transformations Erjin Zhou, Zhimin Cao, and Jian Sun Face++, Megvii Inc." -27cccf992f54966feb2ab4831fab628334c742d8,Neutral Face Happy Face Surprise Face Fear Face Sad Face Angry Face Disgust Face,"International Journal of Computer Applications (0975 – 8887) -Volume 64– No.18, February 2013 -Facial Expression Recognition by Statistical, Spatial -Features and using Decision Tree -Nazil Perveen -Assistant Professor -CSIT Department -GGV BIlaspur, Chhattisgarh -India -Darshan Kumar -Assistant Professor -Electronics (ECE) Department -JECRC Jaipur, Rajasthan India -IshanBhardwaj -Student of Ph.D. -Electrical Department -NIT Raipur, Chhattisgarh India" 2783efc96a0d59473e4236ccf1db6ed7e958839e,An Overview of Multi-Task Learning in Deep Neural Networks,"An Overview of Multi-Task Learning in Deep Neural Networks∗ Sebastian Ruder @@ -36454,50 +31020,7 @@ interpretation in smart environment Oleg Starostenko *, Ximena Cortés, J. Afredo Sánchez and Vicente Alarcon-Aquino Department of Computing, Electronics and Mechatronics, Universidad de las Americas Puebla, Cholula, Pue. 72810, Mexico" -d61578468d267c2d50672077918c1cda9b91429b,Face Image Retrieval Using Pose Specific Set Sparse Feature Representation,"Abdul Afeef N et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.9, September- 2014, pg. 314-323 -Available Online at www.ijcsmc.com -International Journal of Computer Science and Mobile Computing -A Monthly Journal of Computer Science and Information Technology -ISSN 2320–088X -IJCSMC, Vol. 3, Issue. 9, September 2014, pg.314 – 323 -RESEARCH ARTICLE -Face Image Retrieval Using Pose Specific -Set Sparse Feature Representation -Department of Computer Science, Viswajyothi College of Engineering and Technology Kerala, India -Assistant Professor of Computer Science, Viswajyothi College of Engineering and Technology Kerala, India -Abdul Afeef N1, Sebastian George2" -d680cfe583fe61e49656cc7b9dbd480c6159cf0b,Pedestrian Detection in Far-Infrared Daytime Images Using a Hierarchical Codebook of SURF,"Sensors 2015, 15, 8570-8594; doi:10.3390/s150408570 -OPEN ACCESS -sensors -ISSN 1424-8220 -www.mdpi.com/journal/sensors -Article -Pedestrian Detection in Far-Infrared Daytime Images Using a -Hierarchical Codebook of SURF -Bassem Besbes 1, Alexandrina Rogozan 2,*, Adela-Maria Rus 2,3,*, Abdelaziz Bensrhair 2 -nd Alberto Broggi 4 -Diotasoft, 15 Boulevard Emile Baudot, Massy 91300, France; E-Mail: -LITIS Laboratory, National Institute of Applied Sciences, 76801 Saint-Etienne-du-Rouvray Cedex, -France; E-Mail: -Faculty of Computer Science, Babes-Bolyai University, Kogalniceanu no.1, -Cluj-Napoca RO-400084, Romania -Dipartimento di Ingegneria dell’ Informazione, Universita di Parma, Parco Area delle Scienze, -Parma 181/a 43124, Italy; E-Mail: -* Authors to whom correspondence should be addressed; E-Mails: (A.R.); -(A.-M.R.); Tel.: +33-2-3295-6670 (A.R.); +40-2-6440-5300 (A.-M.R.). -Academic Editor: Felipe Jimenez" d69df51cff3d6b9b0625acdcbea27cd2bbf4b9c0,Robust Remote Heart Rate Determination for E-Rehabilitation - A Method that Overcomes Motion and Intensity Artefacts, -d64c362b631f0c94b22952e2d0860054f0854358,Offline Handwritten Devanagari Numeral Recognition Using Artificial Neural Network,"International Journals of Advanced Research in -Computer Science and Software Engineering -ISSN: 2277-128X (Volume-7, Issue-8) -Research Article -August -Offline Handwritten Devanagari Numeral Recognition -Using Artificial Neural Network -P E Ajmire -Associate Professor & Head, Department of Computer Science & Application, G. S. Science, Arts & Commerce -College, Khamgaon, Maharashtra, India -DOI: 10.23956/ijarcsse/V7I7/0157" d689cdb4e535be040316722229e6362de6617f9e,GEOMETRIC DEEP PARTICLE FILTER FOR MOTORCYCLE TRACKING : DEVELOPMENT OF INTELLIGENT TRAFFIC SYSTEM IN JAKARTA,"INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS VOL. 8, NO. 1, MARCH 2015 GEOMETRIC DEEP PARTICLE FILTER FOR MOTORCYCLE TRACKING: DEVELOPMENT OF INTELLIGENT TRAFFIC @@ -36586,16 +31109,6 @@ d6ceebb0cde7fb0fbe916472d7b613a2d7d2e1e6,Do faces capture the attention of indiv or Autism? Evidence from tracking eye movements Deborah M Riby & Peter J B Hancock http://dx.doi.org/10.1007/s10803-008-0641-z" -d6f2ba0856d007112974596a8a1cfd5c81269836,CLASSIFICATION OF TYPES OF SKIN LESIONS WITH TASK DECOMPOSITION METHOD,"Vol-2 Issue-2 2016 -IJARIIE-ISSN (O)-2395-4396 -CLASSIFICATION OF TYPES OF SKIN -LESIONS WITH TASK DECOMPOSITION -METHOD -Dr.P.S.Ramaprabha1, Ms.Shalini.E 2, Ms.Shiji Jenifer.A.S3, Ms.Prema dhevi.M4 -1 Professor ,ECE, Panimalar Institute of Technology, TAMILNADU, INDIA -2 UG Scholar,ECE, Panimalar Institute of Technology, TAMILNADU ,INDIA -3 UG Scholar,ECE, Panimalar Institute of Technology, TAMILNADU, INDIA -4 UG Scholar,ECE, Panimalar Institute of Technology, TAMILNADU, INDIA" d665213b59f2460faf171d3b03ecd9c96d606883,A MULTIMODAL NONVERBAL HUMAN-ROBOT COMMUNICATION SYSTEM,"VI International Conference on Computational Bioengineering ICCB 2015 M. Cerrolaza and S.Oller (Eds) @@ -36672,15 +31185,6 @@ Merantix GmbH Luc Van Gool D-ITET, ETH Zurich ESAT, KU Leuven" -80e7f9bcaca98b65ce12ad7ce28c4b42e0712752,A New Affine Invariant Image Transform Based on Ridgelets,"A New Affine Invariant Image Transform Based -on Ridgelets -Esa Rahtu -Janne Heikkil¨a -Department of Electrical and Information Engineering -P.O. Box 4500, 90014 University of Oulu, Finland -Mikko Salo -Department of Mathematics and Statistics / RNI -P.O. Box 68, 00014 University of Helsinki, Finland" 808b03e28bb45bd446ee7e82f767e48db354fefd,Fast Optical Flow using Dense Inverse Search Supplementary Material,"Fast Optical Flow using Dense Inverse Search Supplementary Material Till Kroeger1 @@ -36788,8 +31292,6 @@ Performance Parameter Analysis of Face Recognition Based On Fuzzy C-Means Clustering, Shape and Corner Detection Minj Salen Kujur1, Prof. Prashant Jain2 Department of Electronics & Communication Engineering college Jabalpur" -8032a89ba67e2b35e2789983426842f688c49a93,Matching-Constrained Active Contours,"Matching-Constrained Active Contours -Junyan Wang*, Member, IEEE, Kap Luk Chan, Member, IEEE" 80265d7c9fe6a948dd8c975bd4d696fb7ba099c9,Face Recognition Based on Human Visual Perception Theories and Unsupervised ANN,"Face Recognition Based on Human Visual Perception Theories and Unsupervised ANN @@ -36907,15 +31409,6 @@ stimuli Nina Strohminger1,6 · Kurt Gray2 · Vladimir Chituc3 · Joseph Heffner4 · Chelsea Schein2 · Titus Brooks Heagins5 © Psychonomic Society, Inc. 2015" -577b62afca4d5e9092228f20098da5df35ad3cdd,Canonical Correlated PCA method For Face Recognition,"International -OPEN ACCESS Journal -ISSN: 2249-6645 Of Modern Engineering Research (IJMER) -Canonical Correlated PCA method For Face Recognition -S. Krishnaveni 1, N.L.Aravinda 2 -Asst.Prof,ECE Dept, CMR college of Engineering & Technology, JNTUH, India -Email: -2Asst.Prof,ECE Dept,, CMR Engineering College, JNTUH, India -Email:" 57235f22abcd6bb928007287b17e235dbef83347,Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency,"EXEMPLAR GUIDED UNSUPERVISED IMAGE-TO- IMAGE TRANSLATION WITH SEMANTIC CONSISTENCY @@ -36986,11 +31479,6 @@ If you believe that digital publication of certain material infringes any of you your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible." -57bfbd06e94c5def35c1dde901bb4f1c839dbcdf,Deep patch learning for weakly supervised object classification and discovery,"Deep Patch Learning for Weakly Supervised Object -Classification and Discovery -Peng Tanga, Xinggang Wanga,∗, Zilong Huanga, Xiang Baia, Wenyu Liua -School of Electronic Information and Communications, Huazhong University of Science -nd Technology, Wuhan 430074, China" 5712cfc11c561c453da6a31d515f4340dacc91a4,3D Facial Expression Reconstruction using Cascaded Regression,"SUBMITTED TO PATTERN RECOGNITION LETTERS Cascaded Regression using Landmark Displacement for 3D Face Reconstruction @@ -37042,9 +31530,6 @@ Volker Fischer1, Mummadi Chaithanya Kumar2, Jan Hendrik Metzen1 & Thomas Brox2 Bosch Center for Artificial Intelligence, Robert Bosch GmbH University of Freiburg {volker.fischer," -573c11e7e00389a033787984223ced536e15c904,Pictorial structures revisited: People detection and articulated pose estimation,"Pictorial Structures Revisited: People Detection and Articulated Pose Estimation -Mykhaylo Andriluka, Stefan Roth, and Bernt Schiele -Department of Computer Science, TU Darmstadt" 57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1,Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model,"Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model Qixiang Ye1,4, Tianliang Zhang 1, Qiang Qiu4, Baochang Zhang2, Jie Chen3, and Guillermo Sapiro4 @@ -37105,16 +31590,6 @@ Tianyu Pang 1 Chao Du 1 Jun Zhu 1" 57c59011614c43f51a509e10717e47505c776389,Unsupervised Human Action Detection by Action Matching,"Unsupervised Human Action Detection by Action Matching Basura Fernando∗ Sareh Shirazi† Stephen Gould∗ The Australian National University †Queensland University of Technology" -571b83f7fc01163383e6ca6a9791aea79cafa7dd,SeqFace: Make full use of sequence information for face recognition,"SeqFace: Make full use of sequence information for face recognition -Wei Hu1 ∗ -Yangyu Huang2 -Guodong Yuan2 -Fan Zhang1 -Ruirui Li1 -Wei Li1 -College of Information Science and Technology, -Beijing University of Chemical Technology, China -YUNSHITU Corp., China" 5782d17ad87262739d69dcbe76cadfa881179a91,Data Analysis Project : What Makes Paris Look like Paris ?,"Data Analysis Project: What Makes Paris Look like Paris? Machine Learning Department @@ -37126,11 +31601,6 @@ BEYOND SHARED HIERARCHIES: DEEP MULTITASK LEARNING THROUGH SOFT LAYER ORDERING Anonymous authors Paper under double-blind review" -572785b5d6f6fa4b174d79725f82c056b0fb4565,"Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art","Computer Vision for Autonomous Vehicles: -Problems, Datasets and State-of-the-Art -Joel Janaia,∗, Fatma G¨uneya,∗, Aseem Behla,∗, Andreas Geigera,b -Autonomous Vision Group, Max Planck Institute for Intelligent Systems, Spemannstr. 41, D-72076 T¨ubingen, Germany -Computer Vision and Geometry Group, ETH Z¨urich, Universit¨atstrasse 6, CH-8092 Z¨urich, Switzerland" 5740a5f9cbfe790afc0ba9a425cfb71197927470,Supplementary Material for Superpixel Sampling Networks,"Supplementary Material for Superpixel Sampling Networks Varun Jampani1, Deqing Sun1, Ming-Yu Liu1, @@ -37178,17 +31648,6 @@ Camino de Vera s/n, Edif. 8G Acc. B 46022 Valencia (Spain)" 9cc4abd2ec10e5fa94ff846c5ee27377caf17cf0,Improved Techniques for GAN based Facial Inpainting,"Improved Techniques for GAN based Facial Inpainting Avisek Lahiri*, Arnav Jain*, Divyasri Nadendla and Prabir Kumar Biswas, Senior Member, IEEE" -9c8a2d66b8fd6973751b8ee2fe6738327968cfcb,Exploring a model of far-from-equilibrium computation,"Exploring a model of far-from-equilibrium -omputation -R˘azvan V. Florian -Center for Cognitive and Neural Studies (Coneural) -Str. Saturn 24, 400504 Cluj-Napoca, Romania -July 10, 2005" -9c889616034adce2af05d74eac44cf43a8106468,Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 -Binary Quadratic Programing for Online Tracking -of Hundreds of People in Extremely Crowded -Scenes -Afshin Dehghan, Member, IEEE, and Mubarak Shah, Fellow, IEEE" 9c8da385750db215dc0728dc310251b320d319af,- CL-TR-899 ISSN 1476-2986 Deep embodiment : grounding semantics in perceptual modalities,"Technical Report UCAM-CL-TR-899 ISSN 1476-2986 @@ -37228,10 +31687,6 @@ Dept. of Electrical Dept. of CSIE Dept. of CSI Engineering Chaoyang University Nankai Institute of National University of Technology Technology of Kaohsiung" -9c07704226e536834c4a8c01e1eb428584bacec6,Benchmarking Single-Image Dehazing and Beyond,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 -Benchmarking Single Image Dehazing and Beyond -Boyi Li*, Wenqi Ren*, Member, IEEE, Dengpan Fu*, Dacheng Tao, Fellow, IEEE, Dan Feng, Member, IEEE, -Wenjun Zeng, Fellow, IEEE and Zhangyang Wang†, Member, IEEE." 9ce0d64125fbaf625c466d86221505ad2aced7b1,Recognizing expressions of children in real life scenarios View project PhD ( Doctor of Philosophy ) View project,"Saliency Based Framework for Facial Expression Recognition Rizwan Ahmed Khan, Alexandre Meyer, Hubert Konik, Saïda Bouakaz @@ -37301,13 +31756,6 @@ Mohamad Hanif Md. Saad1 Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia Institute of Visual Informatics, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia E-mail:" -9c1f5547d98f5390e2389ce40668da83a9830487,Non-parametric Structured Output Networks,"Non-parametric Structured Output Networks -Andreas M. Lehrmann -Disney Research -Pittsburgh, PA 15213 -Leonid Sigal -Disney Research -Pittsburgh, PA 15213" 9cd8e1ccc5a410c7f31c7e404588597c0bb1952b,What ’ s your type ? Personalized Prediction of Facial Attractiveness 
,"Whats Your Type? Personalized Prediction of Facial Attractiveness Sam Crognale, Computer Science, Danish Shabbir Electrical Engineering @@ -37375,10 +31823,6 @@ Introduction: Person re-identification, aiming to finding the images that match the target person in a large-scale image library, greatly reduces the time cost of human search. Due to its great significance to visual super- vision, it has rapidly become a research hotspot in the field of computer" -9c731b820c495904a6f7d255d7e6a3bf9e5fc365,Geometric inpainting of 3D structures,"Geometric inpainting of 3D structures -Pratyush Sahay, A.N. Rajagopalan -Indian Institute of Technology Madras -Chennai, India" 9ca2dfe8a6265c4f6ea12bae0e7ff6ffc9128226,Dialog-based Interactive Image Retrieval,"Dialog-based Interactive Image Retrieval Xiaoxiao Guo† IBM Research AI @@ -37421,15 +31865,6 @@ Robotics, Perception and Learning Lab Royal Institute of Technology (KTH) Stockholm, SE-100 44, Sweden Email: {nbore, ekz, patric," -9c576520ed9c960270715f790a62b9337ce88bd2,Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking,"Beyond Pixels: Leveraging Geometry and Shape Cues for Online -Multi-Object Tracking -Sarthak Sharma1∗, Junaid Ahmed Ansari1∗, J. Krishna Murthy2, K. Mahdava Krishna1 -Robotics Research Center, KCIS, IIIT Hyderabad, India -Mila, Universite de Montreal, Canada -denotes equal contribution -Fig. 1. An illustration of the proposed method. The first two rows show objects tracks in frames t and t + 1. The bottom row depicts how 3D position -nd orientation information is propagated from frame t to frame t + 1. This information is used to specify search areas for each object in the subsequent -frame, and this greatly reduces the number of pairwise costs that are to be computed." 9cfb3a68fb10a59ec2a6de1b24799bf9154a8fd1,Semi-supervised learning in Spectral Dimensionality Reduction,"Semi-supervised learning in Spectral Dimensionality Reduction Maryam Mehdizadeh @@ -37458,11 +31893,6 @@ broad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non," -9c1305383ce2c108421e9f5e75f092eaa4a5aa3c,RETRIEVAL FOR TV SHOW VIDEOS BY ASSOCIATING AUDIO SPEAKER RECOGNITION RESULT TO VISUAL FACES,"SPEAKER RETRIEVAL FOR TV SHOW VIDEOS BY ASSOCIATING AUDIO SPEAKER -RECOGNITION RESULT TO VISUAL FACES∗ -Yina Han*’, Joseph Razik’, Gerard Chollet’, and Guizhong Liu* -*School of Electrical and Information Engineering, Xi’an Jiaotong University, Xi’an, China -’CNRS-LTCI, TELECOM-ParisTech, Paris, France" 9cd7487e0eed11dabc94dd867178204c53eb2270,Self-Organizing Traffic Lights : A Pedestrian Oriented Approach,"Self-Organizing Traffic Lights: A Pedestrian Oriented Approach Jessica S. Souza1, Cesar A. M. Ferreira2, Cassio E. dos Santos Jr3, Victor H. C. Melo4, William Robson Schwartz4 @@ -37533,13 +31963,6 @@ version http://dx.doi.org/10.1109/TIP.2009.2017163 Item record http://hdl.handle.net/10379/1350" -92020e6540fe9feb38616334645a0ba28dcac69d,FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN,"ISSN: 0976-9102 (ONLINE) -ICTACT JOURNAL ON IMAGE AND VIDEO PROCESSING, FEBRUARY 2017, VOLUME: 07, ISSUE: 03 -FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN -A. Geetha1, M. Mohamed Sathik2 and Y. Jacob Vetharaj3 -Department of Computer Applications, Nesamony Memorial Christian College, India -Department of Computer Science, Sadakathullah Appa College, India -Department of Computer Science, Nesamony Memorial Christian College, India" 921aaac9b33ec6a417bfc8bb0e21e11e743342c2,Image enhancement for improving face detection under non-uniform lighting conditions,"978-1-4244-1764-3/08/$25.00 ©2008 IEEE ICIP 2008" 923412acb90ed2acbb29290147a567f39d2dfc95,FACS-BASED EMOTIONAL FACIAL EXPRESSIONS FACSGen : A Tool to Synthesize Emotional Facial Expressions through Systematic Manipulation of Facial Action Units,"J Nonverbal Behav @@ -37607,9 +32030,6 @@ otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. http://www.sherpa.ac.uk/romeo/issn/0302-9743/ https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm" -92990ef7866ca906b595e2841e340725fb3ff8da,Generating Synthetic Data for Text Recognition,"Generating Synthetic Data for Text Recognition -Praveen Krishnan and C.V. Jawahar -CVIT, IIIT Hyderabad, India" 92a044df6c37571aac25756252dda27676492bb5,IMPLEMENTATION OF REAL-TIME SYSTEM ON FPGA BOARD FOR HUMAN ' S FACE DETECTION AND TRACKING AUTHOR,"IMPLEMENTATION OF REAL-TIME SYSTEM ON FPGA BOARD FOR HUMAN'S FACE DETECTION AND TRACKING AUTHOR MOHD NORHAFIZ HASHIM @@ -37665,26 +32085,6 @@ L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de" -92980965514210b4f6dd074d122078d54684f724,Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition,"Track Everything: Limiting Prior Knowledge in -Online Multi-Object Recognition -Sebastien C. Wong∗, Senior Member, IEEE, Victor Stamatescu†, Member, IEEE, Adam Gatt‡, Member, IEEE, -David Kearney†, Ivan Lee† Senior Member, IEEE and Mark D. McDonnell†, Senior Member, IEEE ∗ Defence -Science and Technology Group, Edinburgh, SA, Australia † Computational Learning Systems Laboratory, School -of Information Technology and Mathematical Sciences, University of South Australia, Mawson Lakes, SA, -Australia ‡ Australian Defence Force, Edinburgh, SA, Australia -An important practical consideration in the design of online -object recognition systems is the finite amount of labeled and -nnotated data available for training. When scarce, this can de- -grade classification performance due to overfitting and reduce -the detection probability of highly tuned object detectors. Even -when larger data sets are available, these may be biased in such -way that their image statistics do not accurately reflect the -data encountered by the system at run time [2]. In the case -of classifier-based object recognition [3] and detection [4], the -use of features, which are higher-level representations of an -object than the raw image, can mitigate these problems by -providing a degree of invariance across different data sets. -In the case of tracking and object detection algorithms, the" 927ac98da38db528b780f14996bb02b05009c9cc,Hand pose estimation through semi-supervised and weakly-supervised learning,"Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning Natalia Neverovaa,∗, Christian Wolfa, Florian Neboutb, Graham W. Taylorc Universit´e de Lyon, INSA-Lyon, CNRS, LIRIS, F-69621, France @@ -37743,21 +32143,6 @@ Ali Diba1 , Mohsen Fayyaz2, Vivek Sharma3, A.Hossein Karami4, M.Mahdi Arzani4, Rahman Yousefzadeh4, Luc Van Gool1 ESAT-PSI, KU Leuven, 2University of Bonn, 3CV:HCI, KIT, Karlsruhe, 4Sensifai" -92a93693f43a49a7b320d5771c6afaff98b27864,Audio-visual signal processing in a multimodal assisted living environment,"INTERSPEECH 2014 -Audio-Visual Signal Processing in a Multimodal Assisted Living Environment -Alexey Karpov 1,5, Lale Akarun 2, Hülya Yalçın 3, Alexander Ronzhin 1, Barış Evrim Demiröz 2, -Aysun Çoban 2 and Miloš Železný 4 -St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences, Russia -Boğaziçi University, İstanbul, Turkey -İstanbul Technical University, İstanbul, Turkey -University of West Bohemia, Pilsen, Czech Republic -5 University ITMO, St. Petersburg, Russia" -92115b620c7f653c847f43b6c4ff0470c8e55dab,Training Deformable Object Models for Human Detection Based on Alignment and Clustering,"Training Deformable Object Models for Human -Detection Based on Alignment and Clustering -Benjamin Drayer and Thomas Brox -Department of Computer Science, -Centre of Biological Signalling Studies (BIOSS), -University of Freiburg, Germany" 92b61b09d2eed4937058d0f9494d9efeddc39002,BoxCars: Improving Vehicle Fine-Grained Recognition using 3D Bounding Boxes in Traffic Surveillance,"Under review in IJCV manuscript No. (will be inserted by the editor) BoxCars: Improving Vehicle Fine-Grained Recognition using @@ -37801,21 +32186,6 @@ Alice Mado Proverbio, Laura Ornaghi, and Veronica Gabaro Department of Psychology, Neuro-MI Center for Neuroscience, University of Milano-Bicocca, Milano, Italy Correspondence should be addressed to Alice Mado Proverbio, Department of Psychology, University of Milano-Bicocca, piazza dell’Ateneo Nuovo 1, U6 Building, Milano, Italy. E-mail:" -a3dc109b1dff3846f5a2cc1fe2448230a76ad83f,ACTIVE APPEARANCE MODEL AND PCA BASED FACE RECOGNITION SYSTEM,"J.Savitha et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.4, April- 2015, pg. 722-731 -Available Online at www.ijcsmc.com -International Journal of Computer Science and Mobile Computing -A Monthly Journal of Computer Science and Information Technology -ISSN 2320–088X -IJCSMC, Vol. 4, Issue. 4, April 2015, pg.722 – 731 -RESEARCH ARTICLE -ACTIVE APPEARANCE MODEL AND PCA -BASED FACE RECOGNITION SYSTEM -Mrs. J.Savitha M.Sc., M.Phil. -Ph.D Research Scholar, Karpagam University, Coimbatore, Tamil Nadu, India -Email: -Dr. A.V.Senthil Kumar -Director, Hindustan College of Arts and Science, Coimbatore, Tamil Nadu, India -Email:" a3f1db123ce1818971a57330d82901683d7c2b67,Poselets and their applications in high-level computer vision,"Poselets and Their Applications in High-Level Computer Vision Lubomir Bourdev @@ -37880,42 +32250,9 @@ Doctor of Philosophy Conrad Sanderson, BEng (Hons) August 2002 [revised February 2003]" -a308ad39f3cc25096f493280319621a25c2c7f46,Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes,"Monocular 3D Scene Modeling and Inference: -Understanding Multi-Object Traffic Scenes -Christian Wojek1,2, Stefan Roth1, Konrad Schindler1,3, and Bernt Schiele1,2 -Computer Science Department, TU Darmstadt -MPI Informatics, Saarbr¨ucken -Photogrammetry and Remote Sensing Group, ETH Z¨urich" a32ebfa79097fdf5c9d44d2f74e33b7c8343425c,A Deeper Look at Dataset Bias,"Chapter 2 A Deeper Look at Dataset Bias Tatiana Tommasi, Novi Patricia, Barbara Caputo and Tinne Tuytelaars" -a3d8b5622c4b9af1f753aade57e4774730787a00,Pose-Aware Person Recognition,"Pose-Aware Person Recognition -Vijay Kumar (cid:63) -Anoop Namboodiri (cid:63) -(cid:63) CVIT, IIIT Hyderabad, India -Manohar Paluri † -Facebook AI Research -C. V. Jawahar (cid:63)" -a3177f82ea8391d9d733be47e4a0656a7b56e64c,Emotion Researcher ISRE ' s Sourcebook for Research on Emotion and Affect,"Emotion Researcher | ISRE's Sourcebook for Research on Emotion and Affect -Emotion Researcher -ISRE's Sourcebook for Research on Emotion and Affect -Interviews -Articles -Spotlight -Contact -How To Cite ER -Table of Contents -New Editor Search -THE ROLES OF EMOTIONS IN THE LAW -Time for new blood at the helm of Emotion -Researcher! ISRE is seeking one or more new -editors, who should take over in April 2017. It -is a fun and highly rewarding job. Nominations -of suitable candidates are also encouraged. -Editor’s Column -In this issue of Emotion Researcher, we focus on the roles emotions play in the law. We will explore -the emotions of jurors, judges, defendants, attorneys and other legal actors. -Call for Papers" a3ad32249fcc85ef9dfb2ea575b0c636edcb2da9,Local Appearance-based 3D Face Recognition,"Universit¨at Karlsruhe Fakult¨at f¨ur Informatik Institut f¨ur Theoretische Informatik (ITI) @@ -37968,36 +32305,11 @@ D. M. Anisuzzaman Department of Computer Science and Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh" -a3be57fc74460463f03c2a14e81e7e62c05c692e,Object Detection,"Object Detection -Yali Amit and Pedro Felzenszwalb, University of Chicago -Related Concepts -– Object Recognition -– Image Classification -Definition -Object detection involves detecting instances of objects from a particular -lass in an image. -Background -The goal of object detection is to detect all instances of objects from a known -lass, such as people, cars or faces in an image. Typically only a small number -of instances of the object are present in the image, but there is a very large -number of possible locations and scales at which they can occur and that need -to somehow be explored. -Each detection is reported with some form of pose information. This could -e as simple as the location of the object, a location and scale, or the extent -of the object defined in terms of a bounding box. In other situations the pose -information is more detailed and contains the parameters of a linear or non-linear -transformation. For example a face detector may compute the locations of the -eyes, nose and mouth, in addition to the bounding box of the face. An example" a3eab933e1b3db1a7377a119573ff38e780ea6a3,Sparse Representation for accurate classification of corrupted and occluded facial expressions,"978-1-4244-4296-6/10/$25.00 ©2010 IEEE ICASSP 2010" a32c5138c6a0b3d3aff69bcab1015d8b043c91fb,Video redaction: a survey and comparison of enabling technologies,"Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Electronic-Imaging on 9/19/2018 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use Videoredaction:asurveyandcomparisonofenablingtechnologiesShaganSahAmeyaShringiRaymondPtuchaAaronBurryRobertLoceShaganSah,AmeyaShringi,RaymondPtucha,AaronBurry,RobertLoce,“Videoredaction:asurveyandcomparisonofenablingtechnologies,”J.Electron.Imaging26(5),051406(2017),doi:10.1117/1.JEI.26.5.051406." -a33262933df8534de571027d78ccd936bb9ec263,Real-Time Deep Learning Method for Abandoned Luggage Detection in Video,"Real-Time Deep Learning Method for Abandoned Luggage Detection in Video -University of Bucharest, 14 Academiei, Bucharest, Romania -Sorina Smeureanu∗‡, Radu Tudor Ionescu∗‡ -SecurifAI, 24 Mircea Vod˘a, Bucharest, Romania -E-mails:" a3fcf3d32a5a4fcc83027e3d367ecc0df3ec4f64,Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength,"Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength @@ -38009,26 +32321,6 @@ Email: fsriparna r," a3bf7248e38ed6f9456f0f309b36470c5c0dabd0,Predicting the Driver's Focus of Attention: the DR(eye)VE Project,"Predicting the Driver’s Focus of Attention: the DR(eye)VE Project Andrea Palazzi∗, Davide Abati∗, Simone Calderara, Francesco Solera, and Rita Cucchiara" -a32f28156b47fd262e04426806037d138bb3ed0b,Fisher ’ s linear discriminant ( FLD ) and support vector machine ( SVM ) in non-negative matrix factorization ( NMF ) residual space for face recognition,"Optica Applicata, Vol. XL, No. 3, 2010 -Fisher’s linear discriminant (FLD) -nd support vector machine (SVM) -in non-negative matrix factorization (NMF) -residual space for face recognition -CHANGJUN ZHOU, XIAOPENG WEI*, QIANG ZHANG, XIAOYONG FANG -Key Laboratory of Advanced Design and Intelligent Computing, Dalian University, -Ministry of Education, Dalian, 116622, China -*Corresponding author: -A novel method of Fisher’s linear discriminant (FLD) in the residual space is put forward for -the representation of face images for face recognition, which is robust to the slight local -feature changes. The residual images are computed by subtracting the reconstructed images from -the original face images, and the reconstructed images are obtained by performing non-negative -matrix factorization (NMF) on original images. FLD is applied to the residual images for extracting -FLD subspace and the corresponding coefficient matrices. Furthermore, features are obtained by -mapping the residual image to FLD subspace. Finally, the features are utilized to train and test -support vector machines (SVMs) for face recognition. The computer simulation illustrates that -this method is effective on the ORL database and the extended Yale face database B. -Keywords: face recognition, Fisher linear discriminant (FLD), non-negative matrix factorization (NMF), -residual image." a30e987e9909a4e307c35809275cf80431211f22,Automatic Sapstain Detection in Processed Timber Through Image Feature Analysis,"Automatic Sapstain Detection in Processed Timber Through Image Feature Analysis Jeremiah Deng @@ -38155,14 +32447,6 @@ teaching and research institutions in France or broad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents" -79033ec1b2c86034908febd444d6ed3c753e17b3,Face Recognition via Globality-Locality Preserving Projections,"Face Recognition via Globality-Locality Preserving Projections -Sheng Huanga,∗, Dan Yanga,b, Fei Yangc, Yongxin Geb,d, Xiaohong Zhangb,d, Jiwen Lue -College of Computer Science at Chongqing University, Chonqing, 400044, China -School of Software Engineering at Chongqing University Chonqing, 400044, China -Department of Computer Science at Rutgers University, Piscataway, NJ, 08854, USA -dMinistry of Education Key Laboratory of Dependable Service Computing in Cyber Physical Society at Chongqing -University Chonqing, 400044, China -eAdvanced Digital Sciences Center (ADSC), 138632, Singapore" 79b669abf65c2ca323098cf3f19fa7bdd837ff31,Efficient tensor based face recognition,"Deakin Research Online This is the published version: Rana, Santu, Liu, Wanquan, Lazarescu, Mihai and Venkatesh, Svetha 2008, Efficient tensor @@ -38243,9 +32527,6 @@ October 2016" Arman Boehm(cid:91), Dongqu Chen§, Mario Frank(cid:91), Ling Huang†, Cynthia Kuo(cid:93), Tihomir Lolic(cid:91), Ivan Martinovic(cid:63), Dawn Song(cid:91) (cid:91) University of California, Berkeley; † Intel Labs; (cid:93) Nokia Research; (cid:63) Oxford University; § Yale University" -79bd7fd2b40aadea84bced07f813ffc28c88bc85,Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption,"Low Rank Matrix Recovery with Simultaneous -Presence of Outliers and Sparse Corruption -Mostafa Rahmani, Student Member, IEEE and George K. Atia, Member, IEEE" 7960336aed2aa701c147ccfe36d153046f1500bc,Occlusion Reasoning for Multiple Object Visual Tracking Dissertation Occlusion Reasoning for Multiple Object Visual Tracking Occlusion Reasoning for Multiple Object Visual Tracking,"OCCLUSION REASONING FOR MULTIPLE OBJECT VISUAL TRACKING ZHENG WU @@ -38315,9 +32596,6 @@ Center for Visual Computing, CentraleSup´elec, Inria, Universit´e Paris-Saclay Grande Voie des Vignes, 92295 Chˆatenay-Malabry, France Center for Processing Speech and Images, Dept. Elektrotechniek, KU Leuven, Kasteelpark Arenberg 10, 3001 Leuven, Belgium" -79c959833ff49f860e20b6654dbf4d6acdee0230,Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond,"Hide-and-Seek: A Data Augmentation Technique -for Weakly-Supervised Localization and Beyond -Krishna Kumar Singh, Hao Yu, Aron Sarmasi, Gautam Pradeep, and Yong Jae Lee, Member, IEEE" 7903bccf6f98436f4916419e5450d1bb890876ea,Analysis of Spatiotemporal Ensemble Data Using Machine Learning,"Institut für Visualisierung und Interaktive Systeme Universität Stuttgart Universitätsstraße 38 @@ -38470,19 +32748,6 @@ Throughout this chapter, (cid:107)·(cid:107) denotes the standard Euclidean nor Problem (1) generalizes the more thoroughly studied class of composite convex optimization prob- lems [30], a class that has witnessed huge interest in machine learning, signal processing, statistics, nd other related areas. We refer the interested reader to [2, 3, 21, 37] for several convex examples" -1dc4b5e93233fc632b070c8ff282ef0fe9141f64,2-D Structure-Based Gait Recognition in Video Using Incremental GMM-HMM,"-D Structure-Based Gait Recognition in Video -Using incremental GMM-HMM -Rui Pu1, Yunhong Wang1 -Laboratory of Intelligence Recognition and Image Processing, Beijing Key -Laboratory of Digital Media, School of Computer Science and Engineering, Beihang -University, Beijing 100191, China" -1d5901662dc4fa5be2375f35be07b4116fd450ea,The Effects of Prediction on the Perception for Own-Race and Other-Race Faces,"RESEARCH ARTICLE -The Effects of Prediction on the Perception -for Own-Race and Other-Race Faces -Guangming Ran1,2, Qi Zhang3, Xu Chen1,2*, Yangu Pan1,2 -. Faculty of Psychology, Southwest University (SWU), Chongqing, 400715, China, 2. Research Center of -Mental Health Education, Southwest University (SWU), Chongqing, 400715, China, 3. School of Education -Science, Guizhou Normal University (GNU), Guizhou, 550001, China" 1d58d83ee4f57351b6f3624ac7e727c944c0eb8d,Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions,"Enhanced Local Texture Feature Sets for Face Recognition under Difficult @@ -38719,10 +32984,6 @@ Video Analytics On Surveillance Cameras Pratik Dubal(cid:63), Rohan Mahadev(cid:63), Suraj Kothawade(cid:63), Kunal Dargan, and Rishabh Iyer AitoeLabs (www.aitoelabs.com)" -1da83903c8d476c64c14d6851c85060411830129,Iterated Support Vector Machines for Distance Metric Learning,"Iterated Support Vector Machines for Distance -Metric Learning -Wangmeng Zuo, Member, IEEE, Faqiang Wang, David Zhang, Fellow, IEEE, Liang Lin, Member, IEEE, -Yuchi Huang, Member, IEEE, Deyu Meng, and Lei Zhang, Senior Member, IEEE" 1d1e78bb93590a86ecfd2516f4e5789cc05d76f5,Generative Models,"FACE AUTHENTICATION BASED ON LOCAL FEATURES AND GENERATIVE MODELS @@ -38730,19 +32991,6 @@ Fabien Cardinaux (a) IDIAP–RR 05-85 JANUARY 2006 ESEARCHREPRORTIDIAPRue du Simplon 4IDIAP Research Institute1920 Martigny − Switzerlandwww.idiap.chTel: +41 27 721 77 11Email: Box 592Fax: +41 27 721 77 12" -1d87a5a458e5fdcfc70e1a444903bb6d7bb0ca38,Biometric Approach to Facial Signature Authentication using Thermal Imaging B,"www.semargroup.org, -www.ijsetr.com -ISSN 2319-8885 -Vol.03,Issue.26 -September-2014, -Pages:5165-5171 -Biometric Approach to Facial Signature Authentication using Thermal Imaging -BOMMAGANI SURESH -, G.S.NAVEENKUMAR -PG Scholar, Dept of ECE, Mallareddy College of Engineering and Technology, Secunderabad, India, -Assoc Prof, Dept of ECE, Mallareddy College of Engineering and Technology, Secunderabad, India, -Email: -E-mail:" 1d524c57214384ad6a003c54b1918130744b69d2,Identifying Human-Object Interactions in Motionless Images by Modeling the Mutual Context of Objects and Human Poses,"International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Impact Factor (2012): 3.358 @@ -38769,14 +33017,6 @@ POSTECH, Korea" with First Name Attributes Huizhong Chen, Student Member, IEEE, Andrew C. Gallagher, Senior Member, IEEE, and Bernd Girod, Fellow, IEEE" -1d251acc459931d927f5befdfb5b9cdf643cd8bc,Bayesian Compression for Natural Language Processing,"Bayesian Compression for Natural Language Processing -Nadezhda Chirkova1∗, Ekaterina Lobacheva1∗, Dmitry Vetrov1,2 -Samsung-HSE Laboratory, National Research University Higher School of Economics -Samsung AI Center -Moscow, Russia" -1dca6a54d201dd56b41a5475aaf498a207083b0e,Ego-surfing first person videos,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE -Ego-Surfing First-Person Videos -Ryo Yonetani, Member, IEEE, Kris M. Kitani, Member, IEEE, and Yoichi Sato, Member, IEEE" 1d9bd24e65345258259ee24332141e371c6e4868,Learning Image Descriptors with Boosting,"Learning Image Descriptors with Boosting Tomasz Trzcinski, Mario Christoudias, and Vincent Lepetit" 1d5d68bee741d81771e9224fe53806e85ed469aa,RATM: Recurrent Attentive Tracking Model,"RATM: Recurrent Attentive Tracking Model @@ -38798,18 +33038,6 @@ Cordelia Schmid†" 1df554e992baf60f2d0b7c1b563250ba19b8f8ff,3D Face Recognition Based on 3D Ridge Lines in Range Data,"-4244-1437-7/07/$20.00 ©2007 IEEE I - 137 ICIP 2007" -1d4e0427dffec6ac75b96a564986046ea2b00980,Eye Controlled Robotic Motion Using Video Tracking In Real Time,"ISSN(Online): 2319-8753 -ISSN (Print): 2347-6710 -International Journal of Innovative Research in Science, -Engineering and Technology -(An ISO 3297: 2007 Certified Organization) -Website: www.ijirset.com -Vol. 6, Issue 7, July 2017 -Eye Controlled Robotic Motion Using Video -Tracking In Real Time -Kriti Bhattacharjee 1, Dr. Manoj Soni 2 -P.G. Student, Department of Mechanical and Automation Engineering, IGDTUW, New Delhi, India1 -Associate Professor, Department of Mechanical and Automation Engineering, IGDTUW, New Delhi, India2" 1daf18f2b1bed861a9483de129223755260193fa,Near-Eye Display Gaze Tracking via Convolutional Neural Networks,"Near-Eye Display Gaze Tracking via Convolutional Neural Networks Robert Konrad Shikhar Shrestha @@ -38819,26 +33047,6 @@ Features Jesús García-Ramírez, Ivan Olmos-Pineda, J. Arturo Olvera-López, and Manuel Martín-Ortíz Benemérita Universidad Autónoma de Puebla, Faculty of Computer Science, Puebla, México" -1dff919e51c262c22630955972968f38ba385d8a,Toward an Affect-Sensitive Multimodal Human – Computer Interaction,"Toward an Affect-Sensitive Multimodal -Human–Computer Interaction -MAJA PANTIC, MEMBER, IEEE, AND LEON J. M. ROTHKRANTZ -Invited Paper -The ability to recognize affective states of a person we are com- -municating with is the core of emotional intelligence. Emotional -intelligenceisa facet of human intelligence thathas been argued to be -indispensable and perhaps the most important for successful inter- -personal social interaction. This paper argues that next-generation -human–computer interaction (HCI) designs need to include the -essence of emotional intelligence—the ability to recognize a user’s -ffective states—in order to become more human-like, more effec- -tive, and more efficient. Affective arousal modulates all nonverbal -ommunicative cues (facial expressions, body movements, and vocal -nd physiological reactions). In a face-to-face interaction, humans -detect and interpret those interactive signals of their communicator -with little or no effort. Yet design and development of an automated -system that accomplishes these tasks is rather difficult. This paper -surveys the past work in solving these problems by a computer -nd provides a set of recommendations for developing the first" 1d1f83023686d43fd4e8805c8e517dffb02d118c,Compiler Enhanced Scheduling for OpenMP for Heterogeneous Multiprocessors,"Compiler Enhanced Scheduling for OpenMP for Heterogeneous Multiprocessors Jyothi Krishna V S @@ -38913,11 +33121,6 @@ Universiti Sains Malaysia, Malaysia, Universiti Sains Malaysia, Malaysia, Universiti Sains Malaysia, Malaysia, Universiti Sains Malaysia, Malaysia," -d3d887aebeeae44cefd5c2bdbb388d9ce109e335,Image Manipulation with Perceptual Discriminators,"Image Manipulation with -Perceptual Discriminators -Diana Sungatullina(cid:63), Egor Zakharov(cid:63), Dmitry Ulyanov, and Victor Lempitsky -Skolkovo Institute of Science and Technology, Moscow, Russia -{d.sungatullina, egor.zakharov, dmitry.ulyanov," d3797366259182070c598e95cef8fff1ddb21f65,Distance-based Camera Network Topology Inference for Person Re-identification,"Distance-based Camera Network Topology Inference for Person Re-identification Yeong-Jun Cho and Kuk-Jin Yoon Computer Vision Laboratory, GIST, South Korea @@ -39027,17 +33230,6 @@ School of Computer Science, University of Guelph School of Engineering, University of Guelph Vector Institute for Artificial Intelligence Canadian Institute for Advanced Research" -d33fcdaf2c0bd0100ec94b2c437dccdacec66476,Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance.,"Neurons with Paraboloid Decision Boundaries for -Improved Neural Network Classification -Performance -Nikolaos Tsapanos, Anastasios Tefas, Member, IEEE, Nikolaos Nikolaidis, Member, IEEE, and -Ioannis Pitas, Fellow, IEEE" -d3c004125c71942846a9b32ae565c5216c068d1e,Recognizing Age-Separated Face Images: Humans and Machines,"RESEARCH ARTICLE -Recognizing Age-Separated Face Images: -Humans and Machines -Daksha Yadav1, Richa Singh2, Mayank Vatsa2*, Afzel Noore1 -. West Virginia University, Morgantown, West Virginia, United States of America, 2. IIIT Delhi, New Delhi, -Delhi, India" d31e47f45041736c93ec23ba1dbaef6c311e76d6,TÜB İ TAK UZAY at TRECVID 2009 : High-Level Feature Extraction and Content-Based Copy Detection,"TÜBİTAK UZAY at TRECVID 2009: High-Level Feature Extraction and Content-Based Copy Detection Ahmet Saracoğlu1,2, Ersin Esen1,2, Medeni Soysal1,2, Tuğrul K. Ateş1,2, Berker Loğoğlu1, Mashar Tekin1, @@ -39118,33 +33310,10 @@ Camera Network Topology Inference in Camera Networks Yeong-Jun Cho, Jae-Han Park*, Su-A Kim*, Kyuewang Lee and Kuk-Jin Yoon Computer Vision Laboratory, GIST, South Korea {yjcho, qkrwogks, suakim, kyuewang," -8f00c57218b413440bc99bcd1b2a9dce369f0f4f,Role of Active Pixels for Efficient Face Recognition on Mobile Environment,"Role of Active Pixels for Efficient Face Recognition on Mobile -Environment -Mallikarjuna Rao G1 -Gokaraju Rangaraju Institute of -Engineering and -Technology,Bachupally, -Hyderabad-78. A.P, India -Praveen Kumar1 -Gokaraju Rangaraju Institute of -Engineering and -Technology,Bachupally, Hyderabad- -78. A.P, India -Vijaya Kumari G2 -Jawaharlal Nehru Technological -University Hyderabad, Computer -Science Department, -Hyderabad ,A.P, India -Amit Pande3 -Computer Science Department, -University of California-Davis," 8ff3c7b46ab36f1d01e96681baf512859cc80a4d,Dynamics of alpha oscillations elucidate facial affect recognition in schizophrenia.,"Dynamics of alpha oscillations elucidate facial affect recognition in schizophrenia Tzvetan G. Popov & Brigitte S. Rockstroh & Petia Popova & Almut M. Carolus & Gregory A. Miller" -8fbe68810cbc53521395829620060cf9558231cc,Learning Discriminant Person-Specific Facial Models Using Expandable Graphs,"Learning Discriminant Person-Specific -Facial Models Using Expandable Graphs -Stefanos Zafeiriou, Anastasios Tefas, Member, IEEE, and Ioannis Pitas, Fellow, IEEE" 8fc21217ee89c505930b540b716b11bab89d3bcd,Memory Efficient Nonuniform Quantization for Deep Convolutional Neural Network,"Memory Efficient Nonuniform Quantization for Deep Convolutional Neural Network Fangxuan Sun and Jun Lin" @@ -39201,9 +33370,6 @@ Yuhua Chen1 Wen Li1 Christos Sakaridis1 Dengxin Dai1 Luc Van Gool1,2 Computer Vision Lab, ETH Zurich VISICS, ESAT/PSI, KU Leuven" -8f89aed13cb3555b56fccd715753f9ea72f27f05,Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.,"Attended End-to-end Architecture for Age -Estimation from Facial Expression Videos -Wenjie Pei, Hamdi Dibeklio˘glu, Member, IEEE, Tadas Baltruˇsaitis and David M.J. Tax" 8fc730d22f33d08be927e5449f359dc15b5c3503,Measuring and modeling the perception of natural and unconstrained gaze in humans and machines,"CBMM Memo No. 059 November 28, 2016 Measuring and modeling the perception of natural @@ -39267,13 +33433,6 @@ Equinox Corporation 07 East Redwood Street New York, NY 10019 Baltimore, MD 21202" -8f3e3f0f97844d3bfd9e9ec566ac7a54f6931b09,"A Survey on Human Emotion Recognition Approaches, Databases and Applications","Electronic Letters on Computer Vision and Image Analysis 14(2):24-44; 2015 -A Survey on Human Emotion Recognition Approaches, -Databases and Applications -C.Vinola*, K.Vimaladevi† -* Department of Computer Science and Engineering, Francis Xavier Engineering College, Tirunelveli,Tamilnadu,India -Department of Computer Science and Engineering, P.S.R Engineering College, Sivakasi, Tamilnadu,India -Received 7th Aug 2015; accepted 30th Nov 2015" 8f077eeeb9678a31e77a17a5c28c36699cf13f83,Gender classification of faces using adaboost,"Gender Classification of Faces Using Adaboost* Rodrigo Verschae1,2,3, Javier Ruiz-del-Solar1,2, and Mauricio Correa1,2 Department of Electrical Engineering, Universidad de Chile @@ -39340,10 +33499,6 @@ Network of Excellence 01 June, 2004 6 months D2.2.1" -8f4c8a80e94a883356ee4c4425324dac5457661a,Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. -Noise Robust Face Image Super-Resolution -Through Smooth Sparse Representation -Junjun Jiang, Member, IEEE, Jiayi Ma, Member, IEEE, Chen Chen, Xinwei Jiang, and Zheng Wang" 8fa3478aaf8e1f94e849d7ffbd12146946badaba,Attributes for classifier feedback,"Attributes for Classifier Feedback Amar Parkash1 and Devi Parikh2 Indraprastha Institute of Information Technology (Delhi, India) @@ -39407,14 +33562,6 @@ Marina del Rey, CA 90292 Allon G. Percus Claremont Graduate U. Claremont, CA 91711" -912f1f57a010194047b6438cc1ea6bec95c6c2b8,ContextVP: Fully Context-Aware Video Prediction,"ContextVP: Fully Context-Aware Video -Prediction -Wonmin Byeon1,2,3,4, Qin Wang2, -Rupesh Kumar Srivastava4, and Petros Koumoutsakos2 -NVIDIA, Santa Clara, CA, USA -ETH Zurich, Zurich, Switzerland -The Swiss AI Lab IDSIA, Manno, Switzerland -NNAISENSE, Lugano, Switzerland" 91d83d20cc22bde6b4b06afc87f76a1b0140d4e2,Image Classification Based on Quantum KNN Algorithm,"Noname manuscript No. (will be inserted by the editor) Image Classification Based on Quantum KNN @@ -39445,12 +33592,6 @@ Time Based Re-ranking for Web Image Search Ms. A.Udhayabharadhi *, Mr. R.Ramachandran ** * MCA Student, Sri Manakula Vinayagar Engineering College, Pondicherry-605106 ** Assistant Professor dept of MCA, Sri Manakula Vinayagar Engineering College, Pondicherry-605106" -91c014ff243ea747ea3a84a9efd4a3e38a7217ee,Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification,"Reinforced Temporal Attention and Split-Rate -Transfer for Depth-Based Person -Re-Identification -Nikolaos Karianakis1, Zicheng Liu1, Yinpeng Chen1, and Stefano Soatto2 -Microsoft, Redmond, USA -University of California, Los Angeles, USA" 91ddac7d1d63c52cbe30fe27674b9c1e54bc584c,Development of EyeBlink and Face Corpora for Research in Human Computer Interaction,"(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 6, No. 5, 2015 Development of Eye-Blink and Face Corpora for @@ -39511,9 +33652,6 @@ FEEDTUM Database, CK+ Database." 91811203c2511e919b047ebc86edad87d985a4fa,Expression Subspace Projection for Face Recognition from Single Sample per Person,"Expression Subspace Projection for Face Recognition from Single Sample per Person Hoda Mohammadzade, Student Member, IEEE, and Dimitrios Hatzinakos, Senior Member, IEEE" -91ee88754cc7a193d51656a3b53e16389bf4aadb,Fast and accurate algorithm for eye localisation for gaze tracking in low-resolution images,"Fast and Accurate Algorithm for Eye Localization -for Gaze Tracking in Low Resolution Images -Anjith George, Member, IEEE, and Aurobinda Routray, Member, IEEE" 91d513af1f667f64c9afc55ea1f45b0be7ba08d4,Automatic Face Image Quality Prediction,"Automatic Face Image Quality Prediction Lacey Best-Rowden, Student Member, IEEE, and Anil K. Jain, Life Fellow, IEEE" 91e58c39608c6eb97b314b0c581ddaf7daac075e,Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks,"Pixel-wise Ear Detection with Convolutional @@ -39543,15 +33681,6 @@ Departm ment of Electrical and Electronic Engineering he University of Hong Kong, Pokfulam, Hong Kong" -91f2b2aeb7e65d0b673ed7e782488b3365027979,NUS-PRO: A New Visual Tracking Challenge,"NUS-PRO: A New Visual Tracking Challenge -Annan Li, Member, IEEE, Min Lin, Member, IEEE, Yi Wu, Member, IEEE, -Ming-Hsuan Yang, Senior Member, IEEE, and Shuicheng Yan, Senior Member, IEEE" -914fd65d29094e434346806bdddeb17d9468610d,SCENE TEXT RECOGNITION IN MOBILE APPLICATIONS BY CHARACTER DESCRIPTOR AND STRUCTURE CONFIGURATION,"IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 -SCENE TEXT RECOGNITION IN MOBILE APPLICATIONS BY -CHARACTER DESCRIPTOR AND STRUCTURE CONFIGURATION -Sathish Kumar Penchala1, Pallavi S.Umap2 -Assistant Professor, Dept. of Computer Engineering, Dr. D.Y.Patil SOET., Lohegaon, Pune-47, Maharashtra, India -ME 2nd year, Dept. of Computer Engineering, Dr.D.Y.Patil SOET., Lohegaon, Pune-47, Maharashtra India" 9168b36568b8abffab5b9de029be5941f673dca2,Improving 3 D Facial Action Unit Detection with Intrinsic Normalization,"YUDIN, ET AL.: IMPROVING 3D AU DETECTION WITH INTRINSIC NORMALIZATION Improving 3D Facial Action Unit Detection with Intrinsic Normalization @@ -39605,8 +33734,6 @@ Decomposition Muwei Jian, Kin-Man Lam*, Senior Member, IEEE (SVD) for performing both" -9131c990fad219726eb38384976868b968ee9d9c,Deep Facial Expression Recognition: A Survey,"Deep Facial Expression Recognition: A Survey -Shan Li and Weihong Deng∗, Member, IEEE" 91a5897565818631a32ce4edae5548d2baf99d77,APPROACH TO RECOGNIZING FACES UNDER VARYING POSE GIVEN A SINGLE-VIEW,"The Pennsylvania State University The Graduate School College of Engineering @@ -39663,26 +33790,6 @@ Zaid Harchaouia,b NYU Inria∗ Cordelia Schmida" -208f0e4195e22e8079ee894397b7a3d1ce99091b,Identifying implementation bugs in machine learning based image classifiers using metamorphic testing,"Identifying Implementation Bugs in Machine Learning Based -Image Classifiers using Metamorphic Testing -Anurag Dwarakanath -Accenture Technology Labs -Bangalore, India -Raghotham M. Rao -Accenture Technology Labs -Bangalore, India -Manish Ahuja -Accenture Technology Labs -Bangalore, India -R. P. Jagadeesh Chandra Bose -Accenture Technology Labs -Bangalore, India -Samarth Sikand -Accenture Technology Labs -Bangalore, India -Neville Dubash -Accenture Technology Labs -Bangalore, India" 20f9a09defe5b02b98c464ca6df36b3b6358f60b,The State-of-the-Art in Visual Object Tracking,Volume 36 Number 3 September 2012 2049ca79ce94ddfe0cc3d39bf770f580a740f3ac,Activity analysis : finding explanations for sets of events,ActivityAnalysis:FindingExplanationsforSetsofEventsbyDimaJamalAlDamenSubmittedinaccordancewiththerequirementsforthedegreeofDoctorofPhilosophy.TheUniversityofLeedsSchoolofComputingSeptember2009Thecandidateconfirmsthattheworksubmittedisherownandthattheappropriatecredithasbeengivenwherereferencehasbeenmadetotheworkofothers.Thiscopyhasbeensuppliedontheunderstandingthatitiscopyrightmaterialandthatnoquotationfromthethesismaybepublishedwithoutproperacknowledgement. 20928315086a49e0cdea0ec66f2e78e9c564f794,Person Detection for Indoor Videosurveillance Using Spatio-temporal Integral Features,"Person Detection for Indoor Videosurveillance @@ -39782,10 +33889,6 @@ Elena Battini S˝onmez1, Bulent Sankur2 and Songul Albayrak3 Computer Science Department, Bilgi University, Dolapdere, Istanbul, TR Electric and Electronic Engineering Department, Bo¯gazici University, Istanbul, TR Computer Engineering Department, Yıldız Teknik University, Istanbul, TR" -20532b1f80b509f2332b6cfc0126c0f80f438f10,A Deep Matrix Factorization Method for Learning Attribute Representations,"A deep matrix factorization method for learning -ttribute representations -George Trigeorgis, Konstantinos Bousmalis, Student Member, IEEE, Stefanos Zafeiriou, Member, IEEE -Bj¨orn W. Schuller, Senior member, IEEE" 205b34b6035aa7b23d89f1aed2850b1d3780de35,Log-domain polynomial filters for illumination-robust face recognition,"014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) 978-1-4799-2893-4/14/$31.00 ©2014 IEEE Shenzhen Key Lab. of Information Sci&Tech, @@ -39839,28 +33942,6 @@ Corporate Research and Development Center, Toshiba Corporation 203fcd66c043e44fefd783b8f54105f0a577fc25,Analyzing Content and Customer Engagement in Social Media with Deep Learning,"Analyzing Content and Customer Engagement in Social Media with Deep Learning (The bulk of this work was done by a student.)" -20a052963f2c46aff817f34a09c396c44b3e46da,Visually Grounded Meaning Representations,"Visually Grounded Meaning Representations -Carina Silberer, Member, IEEE, Vittorio Ferrari, Member, IEEE, Mirella Lapata, Member, IEEE" -2004afb2276a169cdb1f33b2610c5218a1e47332,Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition,"Hindawi -Computational Intelligence and Neuroscience -Volume 2018, Article ID 3803627, 11 pages -https://doi.org/10.1155/2018/3803627 -Research Article -Deep Convolutional Neural Network Used in Single Sample per -Person Face Recognition -Junying Zeng , Xiaoxiao Zhao , Junying Gan , Chaoyun Mai -nd Fan Wang -, Yikui Zhai, -School of Information Engineering, Wuyi University, Jiangmen 529020, China -Correspondence should be addressed to Xiaoxiao Zhao; -Received 27 November 2017; Revised 23 May 2018; Accepted 26 July 2018; Published 23 August 2018 -Academic Editor: Jos´e Alfredo Hern´andez-P´erez -Copyright © 2018 Junying Zeng et al. 0is is an open access article distributed under the Creative Commons Attribution License, -which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -Face recognition (FR) with single sample per person (SSPP) is a challenge in computer vision. Since there is only one sample to be -trained, it makes facial variation such as pose, illumination, and disguise dif‌f‌icult to be predicted. To overcome this problem, this paper -proposes a scheme combined traditional and deep learning (TDL) method to process the task. First, it proposes an expanding sample -method based on traditional approach. Compared with other expanding sample methods, the method can be used easily and" 2056ba48e687d619c0ce69d0be323d48c5b90701,Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking.,"Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking Minyoung Kim @@ -39965,11 +34046,6 @@ destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires" -20f64a00593ae2c6ebbe87b41394335152f9b165,A Hybrid of Principal Component Analysis and Partial Least Squares for Face Recognition across Pose,"A Hybrid of Principal Component Analysis and Partial -Least Squares for Face Recognition across Pose -Ajay Jaiswal, Nitin Kumar, and R.K. Agrawal -School of Computer and Systems Sciences -Jawaharlal Nehru University, New Delhi, India" 2084e54505cfe4fd81005167b1b11d10b5f837d1,Person Re-Identification by Discriminative Selection in Video,"Person Re-Identification by Discriminative Selection in Video Ranking Wang, T; Gong, S; Zhu, X; Wang, S •(cid:9)“The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-319- @@ -39997,22 +34073,6 @@ Antoine Deleforge∗ Radu Horaud∗ Yoav Y. Schechner‡ Laurent Girin∗† INRIA Grenoble Rhˆone-Alpes, Montbonnot Saint-Martin, France Univ. Grenoble Alpes, GIPSA-Lab, France Dept. Electrical Eng., Technion-Israel Inst. of Technology, Haifa, Israel" -c45a6a816c32d4041f9be8b937fa92d6dddfe476,FACE RECOGNITION BASED ATTENDANCE MARKING SYSTEM,"K.Senthamil Selvi et al, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.2, February- 2014, pg. 337-342 -Available Online at www.ijcsmc.com -International Journal of Computer Science and Mobile Computing -A Monthly Journal of Computer Science and Information Technology -ISSN 2320–088X -IJCSMC, Vol. 3, Issue. 2, February 2014, pg.337 – 342 -RESEARCH ARTICLE -FACE RECOGNITION BASED -ATTENDANCE MARKING SYSTEM -K.Senthamil Selvi1, P.Chitrakala2, A.Antony Jenitha3 -M. Tech Scholar, Department of Information and Technology, -Hindustan University, Chennai, Tamilnadu, India -Assistant Professor, Department of Information and Technology, -Hindustan University, Chennai, Tamilnadu, India -M. Tech Scholar, Department of Information and Technology, -Hindustan University, Chennai, Tamilnadu, India" c4dcf41506c23aa45c33a0a5e51b5b9f8990e8ad,Understanding Activity : Learning the Language of Action,"Understanding Activity: Learning the Language of Action Randal Nelson and Yiannis Aloimonos Univ. of Rochester and Maryland @@ -40070,13 +34130,6 @@ Steve Branson · Grant Van Horn · Catherine Wah · Pietro Perona · Serge Belongie Received: 7 March 2013 / Accepted: 8 January 2014 / Published online: 20 February 2014 © Springer Science+Business Media New York 2014" -c450b742717dd56039466c3f761982355bd0576a,Literature Assessment for Pose-Invariant Face Recognition,"International Journal of Scientific Research Engineering & Technology (IJSRET) -Volume 2 Issue 10 pp 653-658 January 2014 -www.ijsret.org ISSN 2278 – 0882 -Literature Assessment for Pose-Invariant Face Recognition -S.Jebha, P.KANNAN -PG Scholar Department of ECE, PET Engineering College, India -Professor Department of ECE, PET Engineering College, India" c4baa3d2fe702d3e96c500274f7fd9e63f8b3d6d,Pedestrian Detection Optimization Based on Random Filtering,"Pedestrian Detection Optimization Based on Random Filtering Victor Hugo Cunha de Melo, Samir Le˜ao, William Robson Schwartz @@ -40120,12 +34173,6 @@ c4827fe8002ea61a2748b78369afe3a0747d1a0c,Towards Optimal Naive Bayes Nearest Nei R´egis Behmo1, Paul Marcombes1,2, Arnak Dalalyan2, and V´eronique Prinet1 NLPR / LIAMA, Institute of Automation, Chinese Academy of Sciences(cid:2) IMAGINE, LIGM, Universit´e Paris-Est" -c4a5932f33e6f4ccbfc7218fac58350a530d0ad6,Face Recognition using Discriminant Face Features Extraction method,"Face Recognition using Discriminant Face Features Extraction method -Miss. Poonam S. Sharma1, Prof. Nitin R. Chopde2 -Student of Master of Engineering in (CSE), G.H. Raisoni college of Engineering and Technology, -2Assistant professor Department of (CSE), G.H. Raisoni College of Engineering and Technology, -Amravati, India -Amravati, India" c43490eb0a3ce18fb2326ef1d0828664b60e73e2,Is This Car Looking at You? How Anthropomorphism Predicts Fusiform Face Area Activation when Seeing Cars,"RESEARCH ARTICLE Is This Car Looking at You? How Anthropomorphism Predicts Fusiform Face @@ -40146,26 +34193,6 @@ Department of Communications and Information Engineering, University of Murcia, (J.C.-J.); (M.V.-V.); (A.F.S.) * Correspondence: Tel.: +34-868-884-644 Received: 30 June 2017; Accepted: 21 August 2017; Published: 24 August 2017" -c46bcb02f92612cf525fd84c6cc79b0638c2eac9,New Fuzzy LBP Features for Face Recognition,"New Fuzzy LBP Features for Face Recognition -Abdullah Gubbia, Mohammed Fazle Azeemb Zahid Ansaric -Department of Electronics and Communications, P.A. College of Engineering, Mangalore, India, -Contact: -Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India, -Department of Computer Science, P.A. College of Engineering, Mangalore, India, -zahid -Contact: -Contact: -There are many Local texture features each very in way they implement and each of the Algorithm trying -improve the performance. An attempt is made in this paper to represent a theoretically very simple and com- -putationally effective approach for face recognition. In our implementation the face image is divided into 3x3 -sub-regions from which the features are extracted using the Local Binary Pattern (LBP) over a window, fuzzy -membership function and at the central pixel. The LBP features possess the texture discriminative property -nd their computational cost is very low. By utilising the information from LBP, membership function, and -entral pixel, the limitations of traditional LBP is eliminated. The bench mark database like ORL and Shef‌f‌ield -Databases are used for the evaluation of proposed features with SVM classifier. For the proposed approach K-fold -nd ROC curves are obtained and results are compared. -Keywords : Face Recognition, Fuzzy Logic, Information Set, Local Binary Pattern, SVM. -. INTRODUCTION" c48c452f26e54f37faaf025ca3c76b33ce3e40f6,Incremental learning of latent structural SVM for weakly supervised image classification,"INCREMENTAL LEARNING OF LATENT STRUCTURAL SVM FOR WEAKLY SUPERVISED IMAGE CLASSIFICATION Thibaut Durand (1) @@ -40278,19 +34305,10 @@ DEIR, University of Sassari, via Torre Tonda 34, 07100 Sassari, Italy Phone +39 079 2017321 DAP, University of Sassari, piazza Duomo 6, 07041 Alghero (SS), Italy" 8e112ad656ff90720ae609841bd0fcb2caa90d65,"""Show Me the Cup"": Reference with Continuous Representations",[cs.CL] 28 Jun 2016 -8edcd935362c899e630349784e4ff8adb3a69cdc,Person re-identification using deformable patch metric learning,"Person Re-identification using Deformable Patch Metric Learning -Sławomir B ˛ak -Peter Carr -Disney Research -Pittsburgh, PA, USA, 15213" 8eabd39cf43596e56f377aa26f985ef20f0aeb4e,On the Recent Use of Local Binary Patterns for Face Authentication,"INTERNATIONAL JOURNAL OF IMAGE AND VIDEO PROCESSING, SPECIAL ISSUE ON FACIAL IMAGE PROCESSING On the Recent Use of Local Binary Patterns for Face Authentication S´ebastien Marcel, Yann Rodriguez and Guillaume Heusch" -8ea56e4697430d1dbc728bad5a6e8ebafcced835,Adaptive stochastic gradient descent on the Grassmannian for robust low-rank subspace recovery,"Adaptive Stochastic Gradient Descent on the -Grassmannian for Robust Low-Rank Subspace -Recovery -Jun He, Member, IEEE, Yue Zhang, Student Member, IEEE" 8e33183a0ed7141aa4fa9d87ef3be334727c76c0,Robustness of Face Recognition to Image Manipulations,"– COS429 Written Report, Fall 2017 – Robustness of Face Recognition to Image Manipulations Cathy Chen (cc27), Zachary Liu (zsliu), and Lindy Zeng (lindy) @@ -40363,13 +34381,6 @@ during learning process; (2) keeping learning new knowledge" Turkish Journal of Psychiatry Neuroimaging Findings in Auti sm: A Brief Review Halime Tuna ULAY1, Aygün ERTUĞRUL2" -8e461978359b056d1b4770508e7a567dbed49776,LOMo: Latent Ordinal Model for Facial Analysis in Videos,"LOMo: Latent Ordinal Model for Facial Analysis in Videos -Karan Sikka1,∗ -Gaurav Sharma2,3,† -Marian Bartlett1,∗,‡ -UCSD, USA -MPI for Informatics, Germany -IIT Kanpur, India" 8e9ff8224753b22e3b1f8bbe271382d6fdb8ddfa,Scale optimization for full-image-CNN vehicle detection,"Scale Optimization for Full-Image-CNN Vehicle Detection Yang Gao, Shouyan Guo, Kaimin Huang, Jiaxin Chen, Qian Gong, Yang Zou, Tong Bai and Gary Overetta" 8e6526b46a52a18028336a8d026e9d466aa12edf,Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition,"Moving Poselets: A Discriminative and Interpretable Skeletal Motion @@ -40568,13 +34579,6 @@ synchrony, alliance, fighting capacity Author for correspondence: Daniel M. T. Fessler e-mail:" -8e64f7f38db57ddc197cc7a9c51b914920ee99cc,AN OPTIMIZED FRAMEWORK FOR DETECTION AND TRACKING,"The International Journal of Multimedia & Its Applications (IJMA) Vol.6, No.4, August 2014 -AN OPTIMIZED FRAMEWORK FOR DETECTION -AND TRACKING OF VIDEO OBJECTS IN -CHALLENGING BACKGROUNDS -Sukanyathara J1 and Alphonsa Kuriakose2 -Department of Computer Science & Engineering, -Viswajyothi College of Engineering & Technology, MG University, Kerala, India" 8e6adaf03ac84acc16e428869b66a5a1e94ed753,Privacy-preserving classifiers recognize shared mobility behaviours from WiFi network imperfect data,"Privacy-preserving classifiers recognize shared mobility behaviours from WiFi network imperfect Orestes Manzanilla-Salazar∗ and Brunilde Sansò† @@ -40799,22 +34803,9 @@ Institute of Psychology, Faculty of Social Sciences, Erasmus University Rotterda Netherlands School of Social and Behavioral Sciences, Tilburg University, The Netherlands Sensation, Perception and Behaviour, Unilever R&D Vlaardingen, The Netherlands" -a1b1442198f29072e907ed8cb02a064493737158,Crowdsourcing Facial Responses to Online Videos,"Crowdsourcing Facial Responses -to Online Videos -Daniel McDuff, Student Member, IEEE, Rana El Kaliouby, Member, IEEE, and -Rosalind W. Picard, Fellow, IEEE" a139c62c27a884cf447ad020cb7b154e63477681,A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments,"A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan Nieto, Roland Siegwart, and Cesar Cadena" -a1e97c4043d5cc9896dc60ae7ca135782d89e5fc,"Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints","IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE -Re-identification of Humans in Crowds using -Personal, Social and Environmental Constraints -Shayan Modiri Assari, Member, IEEE, Haroon Idrees, Member, IEEE, and Mubarak Shah, Fellow, IEEE" -a175f20189f028a1420b76ae42f6dfe99d8d6847,Where and Why Are They Looking ? Jointly Inferring Human Attention and Intentions in Complex Tasks,"Where and Why Are They Looking? Jointly Inferring Human Attention and -Intentions in Complex Tasks -Ping Wei1,2, Yang Liu2, Tianmin Shu2, Nanning Zheng1, and Song-Chun Zhu2 -School of Electronic and Information Engineering, Xi’an Jiaotong University, China -Center for Vision, Cognition, Learning, and Autonomy, University of California, Los Angeles" a133374b9630bbe6eb2b7de8c3204aa57e75c582,A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping.,"A Deep Network Solution for Attention and Aesthetics Aware Photo Cropping Wenguan Wang, Jianbing Shen, Senior Member, IEEE, and Haibin Ling" @@ -40938,9 +34929,6 @@ d1a0425f764ce8847d20d278e4a4267c8258c4dc,3D Human Pose Estimation with Siamese E Embedding M´arton V´egesa,∗, Viktor Vargaa, Andr´as L˝orincza E¨otv¨os Lor´and University, Budapest, Hungary" -d1bfb6a9182e5712d8aef46b2fe93ef4ad4fe705,Local Color Contrastive Descriptor for Image Classification,"Local Color Contrastive Descriptor for Image -Classification -Sheng Guo, Student Member, IEEE, Weilin Huang, Member, IEEE, and Yu Qiao, Senior Member, IEEE" d170adb2c508edaedb731ada8cb995172a839a1f,Cascade of Boolean detector combinations,"Mahkonen et al. EURASIP Journal on Image and Video Processing (2018) 2018:61 https://doi.org/10.1186/s13640-018-0303-9 @@ -41006,12 +34994,6 @@ Thomas Kemp Sony Europe Ltd.† Akira Nakamura Sony Corporation‡" -d12c343e60f9cc1a0c6c94c138f38e6bffe22001,Diverse Sampling for Self-Supervised Learning of Semantic Segmentation,"Diverse Sampling for Self-Supervised Learning of Semantic Segmentation -Mohammadreza Mostajabi ∗ -Nicholas Kolkin ∗ -Toyota Technological Institute at Chicago -{mostajabi, nick.kolkin, -Gregory Shakhnarovich" d1c103c63d930d3ae7397618f486117a48e35f16,Does gaze direction modulate facial expression processing in children with autism spectrum disorder?,"BIROn - Birkbeck Institutional Research Online Enabling open access to Birkbeck’s published research output Does gaze direction modulate facial expression @@ -41032,21 +35014,10 @@ Does gaze direction modulate facial expression processing in children with autism spectrum disorder? Deposit Guide Contact:" -d1dd0c714950cbd89f76ec6b039201eadf74cade,Person Re-identification Using Robust Brightness Transfer Functions Based on Multiple Detections,"Person Re-identification Using Robust -Brightness Transfer Functions Based -on Multiple Detections -Amran Bhuiyan(B), Behzad Mirmahboub, Alessandro Perina, -nd Vittorio Murino -Pattern Analysis and Computer Vision (PAVIS), -Istituto Italiano di Tecnologia, Genova, Italy" d1e66107eb084ea0ef5a97f3363f8787b8df91ed,Max-Margin Regularization for Reducing Accidentalness in Chamfer Matching,"Max-margin Regularization for Reducing Accidentalness in Chamfer Matching Angela Eigenstetter*, Pradeep Yarlagadda* and Bj¨orn Ommer Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany" -d138270d3c06e85fa2c3da6f953818da4b72313a,An Analytical Framework for Estimating Scale-Out and Scale-Up Power Efficiency of Heterogeneous Manycores,"An Analytical Framework for Estimating -Scale-Out and Scale-Up Power Efficiency -of Heterogeneous Manycores -Jun Ma, Guihai Yan, Member, IEEE, Yinhe Han, Member, IEEE, and Xiaowei Li, Senior Member, IEEE" d1295a93346411bb833305acc0e092c9e3b2eff1,The eMPaThy iMBalance hyPoThesis oF aUTisM : a TheoReTical aPPRoach To cogniTiVe and eMoTional eMPaThy in aUTisTic deVeloPMenT,"the Psychological record, 2009, 59, 489-510 The eMPaThy iMBalance hyPoThesis oF aUTisM: TheoReTical aPPRoach To cogniTiVe and @@ -41106,11 +35077,6 @@ Univ Lille Nord de France, 59000 Lille, France IFSTTAR, COSYS, LEOST, 59650 Villeneuve d’Ascq, France Normandie Univ., UNICAEN, ENSICAEN, GREYC UMR CNRS 6072, Caen, France" -d1503151b39038a87acbd9ecce073ddc211a597d,Efficient Semantic Segmentation using Gradual Grouping,"Efficient Semantic Segmentation using Gradual Grouping -Nikitha Vallurupalli1, Sriharsha Annamaneni1, Girish Varma1, -C V Jawahar1, Manu Mathew2, Soyeb Nagori2 -Center for Visual Information Technology, Kohli Center on Intelligent Systems, IIIT-Hyderabad, India -Texas Instruments, Bangalore, India" d1dfdc107fa5f2c4820570e369cda10ab1661b87,Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation,"Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation Huaizu Jiang1 @@ -41140,10 +35106,6 @@ Yu-Siang Wang1, Chenxi Liu2, Xiaohui Zeng3, Alan Yuille2 : National Taiwan University : Johns Hopkins University : Hong Kong University of Science and Technology" -d168c2bd29fcad2083586430dd76f54da69bc8a6,Person Re-Identification by Iterative Re-Weighted Sparse Ranking,"Person Re-Identification by Iterative -Re-Weighted Sparse Ranking -Giuseppe Lisanti, Iacopo Masi, Andrew D. Bagdanov, Member, IEEE, and -Alberto Del Bimbo, Member, IEEE" d1c0592f4f9f0ff2e14e0591d87539e5141b7361,Mobile Emotion Recognition Engine,"Mobile Emotion Recognition Engine Alberto Scicali1" d122d66c51606a8157a461b9d7eb8b6af3d819b0,AUTOMATED RECOGNITION OF FACIAL EXPRESSIONS,"Vol-3 Issue-4 2017 @@ -41179,17 +35141,6 @@ Audi Electronics Venture GmbH, Germany d1d6f1d64a04af9c2e1bdd74e72bd3ffac329576,Neural Face Editing with Intrinsic Image Disentangling,"Neural Face Editing with Intrinsic Image Disentangling Zhixin Shu1 Ersin Yumer2 Sunil Hadap2 Kalyan Sunkavalli2 Eli Shechtman 2 Dimitris Samaras1,3 Stony Brook University 2Adobe Research 3 CentraleSup´elec, Universit´e Paris-Saclay" -6f7de9849be93eff1c5f133defd9d70e5ff437ac,AttentionNet: Aggregating Weak Directions for Accurate Object Detection,"AttentionNet: Aggregating Weak Directions for Accurate Object Detection -Donggeun Yoo -Sunggyun Park -KAIST -KAIST -Joon-Young Lee∗ -KAIST -Anthony S. Paek -Lunit Inc. -In So Kweon -KAIST" 6f3391fda6b25796b5e051f822f91243f69276cb,Performance Comparison of Various Face Detection Techniques,"International Journal of Scientific Research Engineering & Technology (IJSRET) Volume 2 Issue1 pp 019-0027 April 2013 ISSN 2278 - 0882 @@ -41232,17 +35183,6 @@ is showed. The biometric pattern of the system is a set of feature points repres pattern extraction and matching is described. Also, a deep analysis of similarity metrics performance is presented for the biometric system. A database with samples of retina images from users on different moments of time is used, thus simulating a hard and real environment of verification. Even in this scenario, the system allows to establish a wide confidence band for the metric threshold" -6fe149e588a5bf15bf89edfedb1a29cc31384ddc,Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI,"Fully Convolutional Networks for Automated Segmentation -of Abdominal Adipose Tissue Depots in Multicenter -Water-Fat MRI -Taro Langner1*, Anders Hedstr¨om2, Katharina Paulmichl3,4, Daniel Weghuber3,4, -Anders Forslund5, Peter Bergsten5,6, H˚akan Ahlstr¨om1,2, Joel Kullberg1,2 -Dept. of Radiology, Uppsala University, Uppsala, Sweden -Antaros Medical, BioVenture Hub, M¨olndal, Sweden -Dept. of Pediatrics, Paracelsus Medical University, 5020 Salzburg, Austria -Obesity Research Unit, Paracelsus Medical University, 5020 Salzburg, Austria -5Dept. of Women’s and Children’s Health, Uppsala University, Uppsala, SE 751 05, Sweden -6Dept. of Medical Cell Biology, Uppsala University, Uppsala, SE 751 23, Sweden" 6f9873e2a7bc279c4f0a45c1a6e831ef3ba78ae7,Improving GAN Training via Binarized Representation Entropy (BRE) Regularization,"Published as a conference paper at ICLR 2018 IMPROVING GAN TRAINING VIA BINARIZED REPRESENTATION ENTROPY (BRE) @@ -41259,36 +35199,11 @@ Facial Recognition Utilizing Patch Based Game Theory Foysal Ahmad, Kaushik Roy, Brian O‟Connor, Joseph Shelton, Pablo Arias, Albert Esterline, and Gerry Dozier theory. Texture based" -6fc8c988dd841c6c4f5e96b1b1458b6aa564b2de,Crowd Counting via Scale-Adaptive Convolutional Neural Network,"Crowd counting via scale-adaptive convolutional neural network -Lu Zhang∗† -Tencent Youtu -Miaojing Shi∗ -Qiaobo Chen† -Inria Rennes & Tencent Youtu -Shanghai Jiaotong University" -6f2bc1a4fbe3e00881b56c145a568264bd3c76f1,Spectral Regression dimension reduction for multiple features facial image retrieval,"Int. J. Biometrics, Vol. 4, No. 1, 2012 -Spectral Regression dimension reduction for -multiple features facial image retrieval -Bailing Zhang* -Department of Computer Science -nd Software Engineering, -Xi’an Jiaotong-Liverpool University, -Suzhou 215123, China -E-mail: -*Corresponding author -Yongsheng Gao -School of Engineering, -Griffith University, -QLD 4111, Australia -E-mail:" 6f1be86c77492af422e936028858c9180b52b698,Indoor Scene Understanding in 2.5/3D: A Survey,"JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JULY 2015 Indoor Scene Understanding in 2.5/3D: A Survey Muzammal Naseer, Salman H Khan, Fatih Porikli" 6f7ce89aa3e01045fcd7f1c1635af7a09811a1fe,A novel rank order LoG filter for interest point detection,"978-1-4673-0046-9/12/$26.00 ©2012 IEEE ICASSP 2012" -6f53466b17a2f9da4dbd1d870e822a1f8e837044,Image Aesthetic Assessment: An experimental survey,"Image Aesthetic Assessment: -An Experimental Survey -Yubin Deng, Chen Change Loy, Member, IEEE, and Xiaoou Tang, Fellow, IEEE" 6f5151c7446552fd6a611bf6263f14e729805ec7,Facial Action Unit Recognition Using Filtered Local Binary Pattern Features with Bootstrapped and Weighted ECOC Classifiers,".=?E= )?JE 7EJ 4A?CEJE KIEC ?= *E=HO 2=JJAH .A=JKHAI MEJD -++ +=IIEAHI @@ -41358,10 +35273,6 @@ Institut f¨ur Neuroinformatik, Ruhr-Universit¨at Bochum,44780 Bochum, Germany" An Experimental and Reproducible Research Survey Manuel G¨unther and Laurent El Shafey and S´ebastien Marcel" -6f288a12033fa895fb0e9ec3219f3115904f24de,Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition,"Learning Expressionlets via Universal Manifold -Model for Dynamic Facial Expression Recognition -Mengyi Liu, Student Member, IEEE, Shiguang Shan, Senior Member, IEEE, Ruiping Wang, Member, IEEE, -Xilin Chen, Senior Member, IEEE" 6f77ff9990973a6cdad6b5b6022323bff9d03965,Action Recognition in Still Images Using Word Embeddings from Natural Language Descriptions,"017 IEEE Winter Conference on Applications of Computer Vision Workshops Action Recognition in Still Images Using Word Embeddings from Natural Language Descriptions @@ -41388,9 +35299,6 @@ University of Fribourg, Switzerland Two-Branch Deep Convolutional Neural Network Architecture Erfan Zangeneh, Mohammad Rahmati, and Yalda Mohsenzadeh" -6f41b528abc34c249038f612a6c1033790ace628,Discriminant Subspace Analysis: An Adaptive Approach for Image Classification,"Discriminant Subspace Analysis: An Adaptive -Approach for Image Classification -Yijuan Lu, Member, IEEE, and Qi Tian, Senior Member, IEEE" 6f1a784ebb8df0689361afe26a2e5f7a1f4c66ca,A unified probabilistic framework for measuring the intensity of spontaneous facial action units,"A Unified Probabilistic Framework For Measuring The Intensity of Spontaneous Facial Action Units Yongqiang Li1, S. Mohammad Mavadati2, Mohammad H. Mahoor and Qiang Ji @@ -41406,14 +35314,6 @@ Sunnyvale, CA 94089, USA LUO ET AL.: ORINET: A FULLY CONVOLUTIONAL NETWORK FOR 3D HUMAN POSE OriNet: A Fully Convolutional Network for 3D Human Pose Estimation" -6fa39c0221c8bcae9146d31646cd9f70aba7190c,Review on Histopathological Slide Analysis using Digital Microscopy,"International Journal of Advanced Science and Technology -Vol.62, (2014), pp.65-96 -http://dx.doi.org/10.14257/ijast.2014.62.06 -Review on Histopathological Slide Analysis using Digital Microscopy -Sangita Bhattacharjee1, Jashojit Mukherjee1, Sanjay Nag1, Indra Kanta Maitra2 and -Samir K. Bandyopadhyay1 -Department of Computer Science and Engineering, University of Calcutta, India -B. P. Poddar Institute of Management and Technology, Kolkata, India" 6f08885b980049be95a991f6213ee49bbf05c48d,Author ' s personal copy Multi-Kernel Appearance Model ☆,"This article appeared in a journal published by Elsevier. The attached opy is furnished to the author for internal non-commercial research nd education use, including for instruction at the authors institution @@ -41531,9 +35431,6 @@ uma complexidade computacional maior que os demais m´etodos, podemos utiliz´a-lo em aplicac¸ ˜oes off-line. Palavras-Chave— Reconhecimento de Padr˜oes, landmarks faci- is, M´aquina de Vetor Suporte." -486a82f50835ea888fbc5c6babf3cf8e8b9807bc,Face Search at Scale: 80 Million Gallery,"MSU TECHNICAL REPORT MSU-CSE-15-11, JULY 24, 2015 -Face Search at Scale: 80 Million Gallery -Dayong Wang, Member, IEEE, Charles Otto, Student Member, IEEE, Anil K. Jain, Fellow, IEEE" 48ac5466c5d0c90fa2c6c38c51c22627f966d687,Real Time People Detection Combining Appearance and Depth Image Spaces Using Boosted Random Ferns,"Real Time People Detection Combining Appearance and Depth Image Spaces using Boosted Random Ferns @@ -41568,36 +35465,6 @@ France" 489decd84645b77d31001d17a66abb92bb96c731,Learning View-Specific Deep Networks for Person Re-Identification,"Learning View-Specific Deep Networks for Person Re-Identification Zhanxiang Feng, Jianhuang Lai, and Xiaohua Xie" -48a442646483d9777a2c5864a8e5f6d1a4851396,Kickstarting the Commons: The YFCC100M and the YLI Corpora,"Kickstarting the Commons: -The YFCC100M and the YLI Corpora -Julia Bernd1, Damian Borth2, Carmen Carrano3, Jaeyoung Choi1, Benjamin Elizalde1, -Gerald Friedland1, Luke Gottlieb1, Karl Ni3, Roger Pearce3, Doug Poland3, Khalid Ashraf4, -David A. Shamma5, and Bart Thomee5 -International Computer Science Institute, Berkeley, CA, USA -German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany -Lawrence Livermore National Laboratory, Livermore, CA, USA -University of California–Berkeley, CA, USA -5 Yahoo Labs, San Francisco, CA, USA" -4839f861709e6ae6d4d032228473ce1764acbdcc,Finding Egocentric Image Topics through Convolutional Neural Network Based Representations,"Finding Egocentric Image Topics through Convolutional Neural Network Based Representations -Kai Zhen, David Crandall -School of Informatics and Computing, Indiana University. -Life-logging cameras create huge collections of photos, even for a single -person on a single day [1, 6], which makes it difficult for users to browse -or organize their photos effectively. Unlike text corpora in which words -reate intermediate representations that carry semantic meaning for higher- -level concepts such as topics, images have no such obvious intermediate -representation to connect raw pixels and semantics. Egocentric photos are -particularly challenging because they were taken opportunistically, so they -re often blurry and poorly-composed compared to consumer-style images. -This paper applies topic modeling on deep features to extract visual -“concept clusters” from egocentric datasets. We discretize features to form -better analogy to the word-document model, which we find yields faster -onvergence during inference. We also find that removing frequent, less in- -formative features helps to prevent outliers and improve the semantic mean- -ing of extracted topics, analogous to removing stop words in the text mining -domain. In a generative process similar to that proposed in LDA [2], we -model an image as being generated by first choosing topics, and then sam- -pling features (visual words) from selected topics," 48b38d157272f03f6b44c0df61130534d11d8569,Natural Language Guided Visual Relationship Detection,"oard)(person-behind-kid)(skate board-on-street)(person-sit on-street)...ImageVisual relationshipsFigure1:Visualrelationshipsrepresenttheinteractionsbe-tweenobservedobjects.Eachrelationshiphasthreeele-ments:subject,predicateandobject.HereisanexampleimagefromVisualGenome[17].Ourproposedmethodisabletoeffectivelydetectnumerouskindsofdifferentrela-tionshipsfromsuchimage.objectsinimages.Therelationshipscanberepresentedinatripletformofhsubject-predicate-objecti,e.g.,hkid-on-skateboardi,asshowninFig.1.Anaturalapproachforthistaskistotreatitasaclassificationproblem:eachkindofrelationships/phraseisarelationcategory[32],asshowninFig.2.Totrainsuchreliableandrobustmodel,suffi-cienttrainingsamplesforeachpossiblehsubject-predicate-objecticombinationareessential.ConsidertheVisualRe-lationshipDataset(VRD)[24],withN=100objectcate-goriesandK=70predicates,thenthereareN2K=700kcombinationsintotal.However,itcontainsonly38kre-lationships,whichmeansthateachcombinationhaslessthan1sampleonaverage.Thepreviousclassification-basedworkscanonlydetectthemostcommonrelationships,e.g.,[32]studiedonly13frequentrelationships.Anotherpopularstrategyistodetecttherelationshippredicatesandtheobjectcategoriesindependently.Al-thoughthenumberofcategoriesdecreasesdramatically,thesemanticrelationshipbetweentheobjectsandthepredi-catesareignored.Consequently,thephrasewhichhasthesamepredicatebutdifferentagentsisconsideredasthesametypeofrelationship.Forinstance,the”clock-on-1" 483f85e1ebef9d10a951b3c01751892aca92a2c2,Adaptive Classification for Person Re-identification Driven by Change Detection,"Adaptive Classification for Person Re-Identification Driven by Change Detection @@ -41644,12 +35511,6 @@ optimization problem to solve (i.e., the objective function f ). Here, we introd of “regularization,” with the goal of avoiding overfitting the function learned to the data set t hand, even for very high-dimensional data. Recap" -488e475eeb3bb39a145f23ede197cd3620f1d98a,Pedestrian Attribute Classification in Surveillance: Database and Evaluation,"Pedestrian Attribute Classification in Surveillance: Database and Evaluation -Jianqing Zhu, Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li∗ -Center for Biometrics and Security Research & National Laboratory of Pattern Recognition -Institute of Automation, Chinese Academy of Sciences (CASIA) -95 Zhongguancun East Road, 100190, Beijing, China -{jqzhu, scliao, zlei, dyi," 48d299fe3303c80f840816fc76971a42b4a8b624,Predicting Important Objects for Egocentric Video Summarization,"http://dx.doi.org/10.1007/s11263-014-0794-5 Predicting Important Objects for Egocentric Video Summarization Yong Jae Lee · Kristen Grauman @@ -41666,26 +35527,10 @@ Xiao Lin Virginia Tech Devi Parikh Georgia Tech" -482769e4c4cf832128b52f1bdff873af1eee8ba8,Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template,"International Journal of Computer Applications (0975 – 8887) -Volume 46– No.6, May 2012 -Robust Face Detection using Fusion of Haar and -Daubechies Orthogonal Wavelet Template -Chirag I Patel -Sanjay Garg -Research scholar, Institute of Technology, -Professor, Institute of Technology, -Nirma University, Ahmedabad, Gujarat, India -Nirma University, Ahmedabad, Gujarat, India" 485e0d178bafa959ac956aa8de6556a2439c6663,Learning from Examples to Generalize over Pose and Illumination,"Learning from Examples to Generalize over Pose nd Illumination Marco K. M¨uller and Rolf P. W¨urtz Institute f¨ur Neural Computation, Ruhr-University, 44780 Bochum, Germany" -48bf7357723abf7770400d68f914d6a7ca5a1a5f,Real-Time Head Pose Tracking with Online Face Template Reconstruction,"Real-Time Head Pose Tracking with Online -Face Template Reconstruction -Songnan Li, Member, IEEE, -King Ngi Ngan, Fellow, IEEE, -Raveendran Paramesran, Senior Member, IEEE, -nd Lu Sheng" 48499deeaa1e31ac22c901d115b8b9867f89f952,Interim Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition,"Interim Report of Final Year Project HKU-Face: A Large Scale Dataset for Deep Face Recognition @@ -41718,10 +35563,6 @@ Anonymous Author(s) Affiliation Address email" -486e5c2996726ec0f7c37077a2752dc4bd8c1413,Linearized Smooth Additive Classifiers,"Linearized Smooth Additive Classifiers -Subhransu Maji -Toyota Technological Institute at Chicago, -Chicago, IL 60637, USA" 484c2617471fd742c4806f9281e5add45c6831a7,LSTM Self-Supervision for Detailed Behavior Analysis,"LSTM Self-Supervision for Detailed Behavior Analysis Biagio Brattoli1∗, Uta B¨uchler1∗, Anna-Sophia Wahl2, Martin E. Schwab2, Bj¨orn Ommer1 HCI / IWR, Heidelberg University, Germany @@ -41755,26 +35596,6 @@ Conversations in Typically Developed Adults Masashi Suda, Yuichi Takei, Yoshiyuki Aoyama, Kosuke Narita, Noriko Sakurai, Masato Fukuda*, Masahiko Mikuni Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan" -48319e611f0daaa758ed5dcf5a6496b4c6ef45f2,Non Binary Local Gradient Contours for Face Recognition,"Non Binary Local Gradient Contours for Face Recognition -Abdullah Gubbia, Mohammad Fazle Azeemb, M Sharmila Kumaric -Department of Electronics and Communication, P.A. College of Engnineering, Mangalore, -Nadupadavu, Mangalore, India, Contact: -Senior IEEE Member, Department of Electrical and Electronics Engineering, Aligarh Muslim -University, India, Contact: -Department of Computer Science and Engineering, P A College of Engineering, Nadupadavu, -Mangalore, India. Contact: -As the features from the traditional Local Binary patterns (LBP) and Local Directional Patterns (LDP) are -found to be ineffective for face recognition, we have proposed a new approach derived on the basis of Information -sets whereby the loss of information that occurs during the binarization is eliminated. The information sets -s a product. Since face is having smooth texture in a limited area, the extracted features must be highly -discernible. To limit the number of features, we consider only the non overlapping windows. By the application -of the information set theory we can reduce the number of feature of an image. The derived features are shown -to work fairly well over eigenface, fisherface and LBP methods. -Keywords: Local Binary Pattern, Local Directional Pattern, Information Sets, Gradient Contour, Support -Vector Machine, KNN, Face Recognition. -. INTRODUCTION -In face recognition, the major issue to be ad- -dressed is the extraction of features which are" 48bc87ccc6b6e2d318f91d5f1886432806fec553,Multiaccuracy: Black-Box Post-Processing for Fairness in Classification,"Multiaccuracy: Black-Box Post-Processing for Fairness in Michael P. Kim∗† Classification @@ -41840,18 +35661,6 @@ l’Exposici(cid:19)o, 59-69, 08800 Vilanova i la Geltru, Spain Dept. Mathematics, Universitat de Barcelona, Gran Via de les Corts Catalanes Computer Vision Center, Campus UAB, Edi(cid:12)ci 0, 08193, Bellaterra, Spain 585, 08007, Barcelona, Spain" -f496235629c02c98ad83b37d3d054ccfd0de0131,Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch,"Learning Cross-Modal Deep Embeddings for -Multi-Object Image Retrieval using Text and Sketch -Sounak Dey, Anjan Dutta, Suman K. Ghosh, Ernest Valveny, Josep Llad´os -Computer Vision Center, Computer Science Department -Autonomous University of Barcelona -Email: {sdey, adutta, sghosh, ernest, -Barcelona, Spain -Umapada Pal -CVPR Unit -Indian Statistical Institute -Kolkata, India -Email:" f4ce7c36586c27783a1b0e737c2834f39f9d029d,Advanced non linear dimensionality reduction methods for multidimensional time series : applications to human motion analysis,"Advanced Nonlinear Dimensionality Reduction Methods for Multidimensional @@ -41898,17 +35707,6 @@ Optical-Flow Estimation in the Wild Nima Sedaghat University of Freiburg Germany" -f4afc9ebafce950b81081e25efc2d8f5fb1f17e7,Tag-aware image classification via Nested Deep Belief nets,"TAG-AWARE IMAGE CLASSIFICATION VIA NESTED DEEP BELIEF NETS -Zhaoquan Yuan1,2, Jitao -Sang1,2, Changsheng Xu1,2 -National Lab of Pattern Recognition, -China-Singapore -Institute -of Automation, -CAS, Beijing 100190, China -Institute -of Digital Media, Singapore -{zqyuan, jtsang," f43b60a33c585827bfa354d3d49fb148a1c26c3f,Identifying Well-formed Natural Language Questions,"Identifying Well-formed Natural Language Questions Manaal Faruqui Dipanjan Das Google AI Language" @@ -41925,43 +35723,6 @@ Ludwig Schmidt Vaishaal Shankar UC Berkeley June 4, 2018" -f44f13a8245bed66fff16a50d6ecc6d56151029d,Thermal-Infrared Pedestrian ROI Extraction through Thermal and Motion Information Fusion,"Sensors 2014, 14, 6666-6676; doi:10.3390/s140406666 -OPEN ACCESS -sensors -ISSN 1424-8220 -www.mdpi.com/journal/sensors -Article -Thermal-Infrared Pedestrian ROI Extraction through Thermal -nd Motion Information Fusion -Antonio Fernández-Caballero 1,2,*, María T. López 1,2 and Juan Serrano-Cuerda 2 -Departamento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071-Albacete, -Spain; E-Mail: -Instituto de Investigación en Informática de Albacete, 02071-Albacete, Spain; -E-Mail: -* Author to whom correspondence should be addressed; E-Mail: -Tel.: +34-967-599-200; Fax: +34-967-599-224. -Received: 14 March 2014; in revised form: 2 April 2014 / Accepted: 4 April 2014 / -Published: 10 April 2014" -f4b729d218139f1e93cc9d4df05fbf699d2e9d07,Introduction to the Special Issue on Recent Advances in Biometric Systems,"IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS, VOL. 37, NO. 5, OCTOBER 2007 -Guest Editorial -Introduction to the Special Issue on Recent -Advances in Biometric Systems -W E ARE pleased to present 14 papers in this special -issue devoted to recent advances in biometric systems. -A total of 78 papers were submitted for consideration for the -special issue. Those that appear in this special issue result from -careful review process and consideration of timing for the -special issue. Other papers, which were originally submitted for -onsideration for the special issue, may be undergoing major -revisions and resubmission and appear at a later time in a -regular issue of this journal or possibly in some other journal. -In particular, several submissions in the area of iris biometrics -ould not be considered for this special issue due to their -experimental results being based primarily on the CASIA 1 -iris image dataset [1]. -Papers on a broad variety of topics were submitted to the -special issue. The large active areas of biometrics such as face, -fingerprint, voice, signature, and iris were naturally well repre-" f4808e78bc648f9e1829c83a68a3e8ed4e7cf325,Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms,"Development of an Efficient Face Recognition System based on Linear and Nonlinear Algorithms {tag} {/tag} International Journal of Computer Applications @@ -41977,9 +35738,6 @@ f4b40b3dc27897fdc40f419a42d64fd1ff80cc9d,A Dual-Source Approach for 3D Human Pos A Dual-Source Approach for 3D Human Pose Estimation from a Single Image Umar Iqbal*, Andreas Doering*, Hashim Yasin, Björn Krüger, Andreas Weber, and Juergen Gall" -f43463770d361e55fb6f6eb801a6e8530ab668cd,Corpus Construction and Semantic Analysis of Indonesian Image Description,"The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages -9-31 August 2018, Gurugram, India -0.21437/SLTU.2018-9" f44af3b10a67fe62fd26eb82dd228a3cdeb980e1,"Understand, Compose and Respond - Answering Visual Questions by a Composition of Abstract Procedures","Understand, Compose and Respond Understand, Compose and Respond - Answering Visual" f49f1028052baa1588376a78a9dc64812748555e,Feature Fusion using Extended Jaccard Graph and Stochastic Gradient Descent for Robot,"JOURNAL OF LATEX CLASS FILES @@ -42018,26 +35776,6 @@ Guest Editors: Christophe Garcia, Jörn Ostermann, and Tim Cootes" Classification for Face Recognition with Insufficient Labeled Samples Yuan Gao, Jiayi Ma, and Alan L. Yuille Fellow, IEEE" -0a6c36de8726b6feaab586046ddc1d1a008f44f9,Filtered channel features for pedestrian detection,"Filtered Channel Features for Pedestrian Detection -Shanshan Zhang, Rodrigo Benenson, Bernt Schiele -MPI Informatics, Saarbrücken, Germany -Figure 1: Integral channel feature detectors pool features via sums over rect- -ngular regions. We can equivalently re-write this operation as convolution -with a filter bank followed by single pixel reads. We aim to answer: What -is the effect of selecting different filter banks? -Pedestrian detection is an active research area, with 1000+ papers pub- -lished in the last decade, and well established benchmark datasets. It is con- -sidered a canonical case of object detection, and has served as playground -to explore ideas that might be effective for generic object detection. Al- -though many different ideas have been explored, and detection quality has -een steadily improving [2], arguably it is still unclear how effective parts, -omponents, and features learning are for this task. -Current top performing pedestrian detection methods all point to an in- -termediate layer (such as max-pooling or filtering) between the low-level -feature maps and the classification layer [5, 6, 7]. In this paper we explore -the simplest of such intermediary: a linear transformation implemented as -onvolution with a filter bank. We propose a framework for filtered chan- -nel features (see figure 1) that unifies multiple top performing methods" 0a60e76e6983e1647469172a50907023913b0c9f,Longitudinal study of amygdala volume and joint attention in 2- to 4-year-old children with autism.,"ORIGINAL ARTICLE Longitudinal Study of Amygdala Volume and Joint Attention in 2- to 4-Year-Old Children With Autism @@ -42058,31 +35796,7 @@ Participants: Fifty autistic and 33 control (11 devel- opmentally delayed, 22 typically developing) children be- tween 18 and 35 months (2 years) of age followed up at 2 to 59 months (4 years) of age." -0a60d9d62620e4f9bb3596ab7bb37afef0a90a4f,Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates,"Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. GCPR 2016 -(cid:13) Copyright by Springer. The final publication will be available at link.springer.com -A. Freytag, E. Rodner, M. Simon, A. Loos, H. K¨uhl and J. Denzler -Chimpanzee Faces in the Wild: -Log-Euclidean CNNs for Predicting Identities -nd Attributes of Primates -Alexander Freytag1,2, Erik Rodner1,2, Marcel Simon1, Alexander Loos3, -Hjalmar S. K¨uhl4,5, and Joachim Denzler1,2,5 -Computer Vision Group, Friedrich Schiller University Jena, Germany -Michael Stifel Center Jena, Germany -Fraunhofer Institute for Digital Media Technology, Germany -Max Planck Institute for Evolutionary Anthropology, Germany -5German Centre for Integrative Biodiversity Research (iDiv), Germany" 0a3051c8dde80975640d42dca21fac17ed60f987,A Hierarchical Switching Linear Dynamical System Applied to the Detection of Sepsis in Neonatal Condition Monitoring, -0a4ba4d5bd6e07a31fa4586322fd5e07d9f9975e,Online Bayesian Nonparametrics for Group Detection,"ZANOTTO, BAZZANI, CRISTANI, MURINO: ONLINE BNP FOR GROUP DETECTION -Online Bayesian Nonparametrics for Group -Detection -Matteo Zanotto -Loris Bazzani -Marco Cristani -Vittorio Murino -Pattern Analysis & Computer Vision -Istituto Italiano di Tecnologia -Via Morego 30 - 16163 -Genova, Italy" 0a6a25ee84fc0bf7284f41eaa6fefaa58b5b329a,Neural Networks Regularization Through Representation Learning,"THÈSEPour obtenir le diplôme de doctorat Spécialité Informatique Préparée au sein de « l'INSA Rouen Normandie » Présentée et soutenue parSoufiane BELHARBIThèse dirigée par Sébastien ADAM, laboratoire LITIS Neural Networks Regularization Through Representation LearningThèse soutenue publiquement le 06 Juillet 2018 devant le jury composé deSébastien ADAMProfesseur à l'Université de Rouen NormandieDirecteur de thèseClément CHATELAINMaître de conférence à l'INSA Rouen NormandieEncadrant de thèseRomain HÉRAULTMaître de conférence à l'INSA Rouen NormandieEncadrant de thèseElisa FROMONTProfesseur à l'Université de Rennes 1Rapporteur de thèseThierry ARTIÈRESProfesseur à l'École Centrale MarseilleRapporteur de thèseJohn LEEProfesseur à l'Université Catholique de LouvainExaminateur de thèseDavid PICARDMaître de conférences à l'École Nationale Supérieure de l'Électronique et de ses ApplicationsExaminateur de thèseFrédéric JURIEProfesseur à l' Université de Caen NormandieInvité" 0a1e3d271fefd506b3a601bd1c812a9842385829,Face Recognition Using 3D Directional Corner Points,"Face Recognition using 3D Directional Corner Points Author @@ -42174,19 +35888,6 @@ A Review Paper on Face Recognition Techniques Sujata G. Bhele1 and V. H. Mankar2 in real interesting area" -0a391c4d7aafa73324549f212cf28640ed471a81,From Caregivers to Peers: Puberty Shapes Human Face Perception.,"663142 PSSXXX10.1177/0956797616663142Picci, ScherfPuberty Shapes Human Face Perception -research-article2016 -Research Article -From Caregivers to Peers: Puberty -Shapes Human Face Perception -Giorgia Picci and K. Suzanne Scherf -Department of Psychology, Pennsylvania State University -1 –13 -© The Author(s) 2016 -Reprints and permissions: -sagepub.com/journalsPermissions.nav -DOI: 10.1177/0956797616663142 -pss.sagepub.com" 0a8ab703839ae585c2f27099616c40974cbeeda2,"Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs","Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs Siddhartha Chandra @@ -42203,24 +35904,11 @@ Mauricio Villegas and Roberto Paredes Institut Tecnol`ogic d’Inform`atica Universitat Polit`ecnica de Val`encia Cam´ı de Vera s/n, 46022 Val`encia, Spain" -0adb5923fb1955f7ca0a85454afe17e5d25425df,Crowd motion monitoring using tracklet-based commotion measure,"CROWD MOTION MONITORING USING TRACKLET-BASED COMMOTION MEASURE -Hossein Mousavi* -Moin Nabi* Hamed Kiani -Alessandro Perina -Vittorio Murino -Pattern Analysis and Computer Vision Department (PAVIS) -Istituto Italiano di Tecnologia -Genova, Italy" 0a40415bdfe4bc9ef7e019e4f1442a9fb61f58b2,Automatic Discovery and Geotagging of Objects from Street View Imagery,"Automatic Discovery and Geotagging of Objects from Street View Imagery Vladimir A. Krylov Eamonn Kenny Rozenn Dahyot ADAPT Centre, School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland" -0a2aca07c9e15de3d5924e156af9a8e1a67b4cab,Person Reidentification With Reference Descriptor,"Person Reidentification With Reference Descriptor -Le An, Member, IEEE, Mehran Kafai, Member, IEEE, Songfan Yang, Member, IEEE, -nd Bir Bhanu, Fellow, IEEE -cross -identification" 0a6a173a1d1d36285bae97f98f4b901067d40097,Similarity learning on an explicit polynomial kernel feature map for person re-identification,"Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification Dapeng Chen y, Zejian Yuan y, Gang Huaz, Nanning Zhengy, Jingdong Wang x @@ -42302,20 +35990,6 @@ for person re-identification in camera networks Zhong Zhang1,2* and Meiyan Huang1,2" 0a8c6b40d6ca75bc1995083825e362137b130624,Nonparametric Method for Data-driven Image Captioning,"Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Short Papers), pages 592–598, Baltimore, Maryland, USA, June 23-25 2014. c(cid:13)2014 Association for Computational Linguistics" -0a1138276c52c734b67b30de0bf3f76b0351f097,Discriminant Incoherent Component Analysis,"This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication. -The final version of record is available at -http://dx.doi.org/10.1109/TIP.2016.2539502 -Discriminant Incoherent Component Analysis -Christos Georgakis, Student Member, IEEE, Yannis Panagakis, Member, IEEE, and Maja Pantic, Fellow, IEEE" -0ab55cacf597b25ca649ded6ee5c05a76fb437bc,Quality-Based Multimodal Classification Using Tree-Structured Sparsity,"Quality-based Multimodal Classification Using Tree-Structured Sparsity -Soheil Bahrampour -Asok Ray -Pennsylvania State University -Pennsylvania State University -Nasser M. Nasrabadi -Army Research Laboratory -Kenneth W. Jenkins -Pennsylvania State University" 0a87d781fe2ae2e700237ddd00314dbc10b1429c,"Distribution Statement "" A "" ( Approved for public release , Distribution Unlimited ) Working Paper An Artificial Intelligence / Machine Learning Perspective on Social Simulation New Data and New Challenges","Distribution Statement A: Approved for public release; distribution unlimited. Multi-scale HOG Prescreening Algorithm for Detection of Buried Explosive Hazards in FL-IR and FL-GPR Data @@ -42341,16 +36015,6 @@ Department of Computer Science Federal university of Ouro Preto Ouro Preto, Brazil Email:" -0af48a45e723f99b712a8ce97d7826002fe4d5a5,Toward Wide-Angle Microvision Sensors,"Toward Wide-Angle Microvision Sensors -Sanjeev J. Koppal, Member, IEEE, Ioannis Gkioulekas, Student Member, IEEE, -Travis Young, Member, IEEE, Hyunsung Park, Student Member, IEEE, -Kenneth B. Crozier, Member, IEEE, Geoffrey L. Barrows, Member, IEEE, and -Todd Zickler, Member, IEEE" -0ad90ad5d2050ebaba5b5cddeb474c7d889bec3e,A Unified Semantic Embedding: Relating Taxonomies and Attributes,"A Unified Semantic Embedding: -Relating Taxonomies and Attributes -Sung Ju Hwang∗ -Disney Research -Pittsburgh, PA" 0a7a7b3f05918fb4fc33f04cb7e31232fa197f76,Fitting a Morphable Model to 3D Scans of Faces,"Fitting a Morphable Model to 3D Scans of Faces Volker Blanz Universit¤at Siegen, @@ -42374,13 +36038,6 @@ Alp Guler1, Nikolaos Kardaris2, Siddhartha Chandra1, Vassilis Pitsikalis2, Chris Werner3, Klaus Hauer3, Costas Tzafestas2, Petros Maragos2, Iasonas Kokkinos1 (1) INRIA GALEN & Centrale Sup´elec Paris, (2) National Technical University of Athens, (3) University of Heidelberg" -0a058caa89d195930224148d3d2897c0c08fc668,Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning,"Metric Embedding Autoencoders for -Unsupervised Cross-Dataset Transfer Learning -Alexey Potapov1,3, Sergey Rodionov1,2, Hugo Latapie4, and Enzo Fenoglio4 -SingularityNET Foundation -Novamente LLC -ITMO University, St. Petersburg, Russia -Chief Technology & Architecture Of‌f‌ice, Cisco" 0a9d38f74095c6840540dabb00c754f4b0c2d131,Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph,"Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph Amir Zadeh1, Paul Pu Liang2, Jonathan Vanbriesen1, Soujanya Poria3, @@ -42570,18 +36227,6 @@ This is the author’s personal copy of the final, accepted version of the paper the version published in Computer Graphics Form. Copyright © 2012 The Eurographics Association and Blackwell Publishing Ltd. Preprint" -2643a611f10ce8acfef41e1e49d1be04d5d34190,Comparative Study of Diverse Face Recognition Approaches along with Intrinsic Worth and Recognition Rate,"International Journal of Computer Applications (0975 – 8887) -Volume 179 – No.21, February 2018 -Comparative Study of Diverse Face Recognition -Approaches along with Intrinsic Worth and Recognition -Shivang Shukla -Department of Computer Science -Medi-Caps Institute of Science and Technology -Indore, Madhya Pradesh, India -Sourabh Dave -Department of Information Technology -Medi-Caps Inst. Of Science and Technology -Indore, Madhya Pradesh, India" 26a72e9dd444d2861298d9df9df9f7d147186bcd,Collecting and annotating the large continuous action dataset,"DOI 10.1007/s00138-016-0768-4 ORIGINAL PAPER Collecting and annotating the large continuous action dataset @@ -42681,26 +36326,6 @@ Keywords: Artificial intelligence; Machine learning; Convolutional neural networ 264a84f4d27cd4bca94270620907cffcb889075c,Deep motion features for visual tracking,"Deep Motion Features for Visual Tracking Susanna Gladh, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg Computer Vision Laboratory, Department of Electrical Engineering, Link¨oping University, Sweden" -26c884829897b3035702800937d4d15fef7010e4,Facial Expression Recognition by Supervised Independent Component Analysis Using MAP Estimation,"IEICE TRANS. INF. & SYST., VOL.Exx–??, NO.xx XXXX 200x -PAPER -Facial Expression Recognition by Supervised Independent -Component Analysis using MAP Estimation -Fan CHEN -, Nonmember and Kazunori KOTANI -, Member -SUMMARY Permutation ambiguity of the classical Inde- -pendent Component Analysis (ICA) may cause problems in fea- -ture extraction for pattern classification. Especially when only a -small subset of components is derived from data, these compo- -nents may not be most distinctive for classification, because ICA -is an unsupervised method. We include a selective prior for de- -mixing coef‌f‌icients into the classical ICA to alleviate the problem. -Since the prior is constructed upon the classification information -from the training data, we refer to the proposed ICA model with -selective prior as a supervised ICA (sICA). We formulated the -learning rule for sICA by taking a Maximum a Posteriori (MAP) -scheme and further derived a fixed point algorithm for learning -the de-mixing matrix. We investigate the performance of sICA" 26d52680d610a2a19483e5fe9bb1421cc26207e6,An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition,"An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition Samy Bengio @@ -42712,10 +36337,6 @@ Douwe Kiela Facebook AI Research Allan Jabri1 UC Berkeley" -26c89f890da91119ffa16d5a23fba963257ef3fc,Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning,"Tattoo Image Search at Scale: Joint Detection -nd Compact Representation Learning -Hu Han, Member, IEEE, Jie Li, Anil K. Jain, Fellow, IEEE, -Shiguang Shan, Senior Member, IEEE and Xilin Chen, Fellow, IEEE" 26c7eda262dfda1c3a3597a3bf1f2f1cc4013425,Some Like It Hot — Visual Guidance for Preference Prediction,"Some like it hot - visual guidance for preference prediction Rasmus Rothe CVL, ETH Zurich @@ -42723,10 +36344,6 @@ Radu Timofte CVL, ETH Zurich Luc Van Gool KU Leuven, ETH Zurich" -267bb08aa4eeefa1ef653716ca0ab572748a3a4e,Vision-Based Real-Time Aerial Object Localization and Tracking for UAV Sensing System,"Vision-based Real-Time Aerial Object Localization -nd Tracking for UAV Sensing System -Yuanwei Wu, Student Member, -IEEE, Yao Sui, Member, IEEE, and Guanghui Wang, Member, IEEE" 26e570049aaedcfa420fc8c7b761bc70a195657c,Hybrid Facial Regions Extraction for Micro-expression Recognition System,"J Sign Process Syst DOI 10.1007/s11265-017-1276-0 Hybrid Facial Regions Extraction for Micro-expression @@ -42793,26 +36410,6 @@ Richard Moore Mat Cook Alex Kipman Microsoft Research Cambridge & Xbox Incubation" -15b44a1c3602385b6cf3eeb049cb2d6c12bb7d74,Automatic semantic annotation of images based on Web data,"010 Sixth International -Conference -on Information -Assurance -nd Security -Automatic -semantic annotation -of images based on Web data -Guiguang Ding -School of Software -University -of Tsinghua -Beijing, -China -edu.cn -School of Software -University -Beijing, -China -of Tsinghua" 15f57134b42638cbd57d0d8c4437e8b6b6a8bac4,Learning Visual Reasoning Without Strong Priors,"Learning Visual Reasoning Without Strong Priors Ethan Perez12, Harm de Vries1, Florian Strub3, Vincent Dumoulin1, Aaron Courville14 @@ -42841,18 +36438,6 @@ Jose Oramas M., Tinne Tuytelaars KU Leuven, ESAT-PSI, iMinds" 15e6e1551ce9a4094c57db70985e420e57c6997a,Asymmetric cross-view dictionary learning for person re-identification,"978-1-5090-4117-6/17/$31.00 ©2017 IEEE ICASSP 2017" -1548cea1fa9be7a23d4d1e38086336913d501e44,Semantic 3 D Reconstruction of Heads Supplementary Material,"Semantic 3D Reconstruction of Heads -Supplementary Material -Fabio Maninchedda1, Christian H¨ane2,(cid:63), Bastien Jacquet3,(cid:63), -Ama¨el Delaunoy(cid:63), Marc Pollefeys1,4 -ETH Zurich -UC Berkeley -Kitware SAS -Microsoft -Fig. 1: From left to right: Input image; Input labels and depth; Depth map fusion -(TV-Flux fusion from [9]); Statistical model of [7] fitted into our raw input data; -Our semantic reconstruction; Our result skin class only; Our model textured. -(cid:63) Work done while authors were at the Department of Computer Science, ETH Z¨urich" 155033f2f096934042d659d10912ef29aa1cdbd1,Visual classification of coarse vehicle orientation using Histogram of Oriented Gradients features,"Visual Classification of Coarse Vehicle Orientation using Histogram of Oriented Gradients Features Paul E. Rybski and Daniel Huber and Daniel D. Morris and Regis Hoffman" @@ -42894,11 +36479,6 @@ of the requirements for the degree of Doctor of Philosophy BOSTON UNIVERSITY" -15df73918e084a146cd215b839a3eec1cc813a78,Projection Peak Analysis for Rapid Eye Localization,"PROJECTION PEAK ANALYSIS FOR RAPID EYE LOCALIZATION -Research Center of Intelligent Robotics, Shanghai Jiaotong University, Shanghai, 200240, China -Jingwen Dai, Dan Liu and Jianbo Su -Keywords: -Eye localization, Threshold, Segmentation, Projection peak." 15292f380f5996f539f4d5e93dba3082d53338fb,Feature Space Optimization for Semantic Video Segmentation,"Feature Space Optimization for Semantic Video Segmentation Abhijit Kundu∗ Georgia Tech @@ -42908,16 +36488,6 @@ Intel Labs Intel Labs Figure 1. Semantic video segmentation on the Cityscapes dataset [6]. Input frame on the left, semantic segmentation computed by our pproach on the right." -156b194d0cee545337524bd993ae640ed227b79e,RADON TRANSFORM AND SYMBOLIC LINEAR DISCRIMINANT ANALYSIS BASED 3 D FACE RECOGNITION USING KNN AND SVM,"ISSN 2320 - 2602 -Volume 2, No.12, December 2013 -P. S. Hiremath et al., International Journal of Advances in Computer Science and Technology, 2(12), December 2013, 267-274 -International Journal of Advances in Computer Science and Technology -Available Online at http://warse.org/pdfs/2013/ijacst022122013.pdf -RADON TRANSFORM AND SYMBOLIC LINEAR DISCRIMINANT -ANALYSIS BASED 3D FACE RECOGNITION USING KNN AND SVM -P. S. Hiremath, Manjunatha Hiremath1 -Department of Computer Science, -Gulbarga University, Gulbarga, Karnataka, India" 159b52158512481df7684c341401efbdbc5d8f02,Object Detection with Active Sample Harvesting,"Object Detection with Active Sample Harvesting Thèse no 7312 @@ -42984,10 +36554,6 @@ data points; b) Apply spectral clustering on the affinity matrix to recover the data segmentation. Dividing the problem in two steps is, on the one hand, appealing because the first step can be solved using convex optimiza-" 15728d6fd5c9fc20b40364b733228caf63558c31,EXPANDING THE BREADTH AND DETAIL OF OBJECT RECOGNITION,(cid:13) 2013 Ian N. Endres -15f70a0ad8903017250927595ae2096d8b263090,Learning Robust Deep Face Representation,"Learning Robust Deep Face Representation -University of Science and Technology Beijing -Xiang Wu -Beijing, China" 15383ae2d86eb8c5e172168f94ef915a7a238b72,Learning Semantic Prediction using Pretrained Deep Feedforward Networks,"Learning Semantic Prediction using Pretrained Deep Feedforward Networks J¨org Wagner1,2, Volker Fischer1, Michael Herman1 and Sven Behnke2 @@ -43038,46 +36604,6 @@ The OU-ISIR Gait Database comprising the Large Population Dataset with Age and performance evaluation of age estimation Chi Xu1,2, Yasushi Makihara2*, Gakuto Ogi2, Xiang Li1,2, Yasushi Yagi2 and Jianfeng Lu1" -1542b8a1805d73a755d4b2eb402c5c861e6acd02,PMCTrack: Delivering Performance Monitoring Counter Support to the OS Scheduler,"PMCTrack: Delivering performance -monitoring counter support to the OS -scheduler -J. C. Saez1, A. Pousa2, R. Rodr´ıguez-Rodr´ıguez1, F. Castro1, -M. Prieto-Matias1 -ArTeCS Group, Facultad de Inform´atica, Complutense University of Madrid -III-LIDI, Facultad de Inform´atica, National University of La Plata -Email: -Hardware performance monitoring counters (PMCs) have proven effective in -haracterizing application performance. Because PMCs can only be accessed -directly at the OS privilege level, kernel-level tools must be developed to enable -the end user and userspace programs to access PMCs. A large body of work -has demonstrated that the OS can perform effective runtime optimizations in -multicore systems by leveraging performance-counter data. Special attention has -een paid to optimizations in the OS scheduler. While existing performance -monitoring tools greatly simplify the collection of PMC application data from -userspace, they do not provide an architecture-agnostic kernel-level mechanism -that is capable of exposing high-level PMC metrics to OS components, such as -the scheduler. As a result, the implementation of PMC-based OS scheduling -schemes is typically tied to specific processor models." -15cf1f17aeba62cd834116b770f173b0aa614bf4,Facial Expression Recognition using Neural Network with Regularized Backpropagation Algorithm,"International Journal of Computer Applications (0975 – 8887) -Volume 77 – No.5, September 2013 -Facial Expression Recognition using Neural Network with -Regularized Back-propagation Algorithm -Ashish Kumar Dogra -Research Scholar -Department of ECE, -Lovely Professional University, -Phagwara, India -Nikesh Bajaj -Assistant Professor -Department of ECE, -Lovely Professional University, -Phagwara, India -Harish Kumar Dogra -Research Scholar -Department of ECE, -Gyan Ganga Institute of -Technology & Sciences, -Jabalpur, India" 159b87e6e68b18f4daa3505bfc415be9b21a7db6,Tracking The Invisible Man - Hidden-object Detection for Complex Visual Scene Understanding, 150326137da214210b46e0b7f22e30f7e6529006,Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second,"Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second Floris De Smedt∗, Kristof Van Beeck∗, Tinne Tuytelaars and Toon Goedem´e @@ -43120,19 +36646,8 @@ Zürich, Switzerland" 15cf11ddfc046b2ed2766c375e8ad067baaf8347,Active Pedestrian Safety by Automatic Braking and Evasive Steering,"Active Pedestrian Safety y Automatic Braking and Evasive Steering C. Keller, T. Dang, H. Fritz, A. Joos, C. Rabe and D. M. Gavrila" -157d2c6dd8c9999b251099ef4211cff8030ae486,Invariance properties of Gabor filter-based features-overview and applications,"Invariance Properties of Gabor Filter Based -Features – Overview and Applications -Joni-Kristian Kamarainen∗, Ville Kyrki, Member, IEEE, Heikki K¨alvi¨ainen, Member, IEEE" 15696370ff33b6e5a81bf5131d80065d6e59804f,Semantically guided location recognition for outdoors scenes,"Semantically Guided Location Recognition for Outdoors Scenes Arsalan Mousavian and Jana Koˇseck´a and Jyh-Ming Lien" -1536579229a334640735725e0b886f8d03aca1e8,Rank of Experts: Detection Network Ensemble,"Rank of Experts: Detection Network Ensemble -Seung-Hwan Bae1, Youngwan Lee2, Youngjoo Jo2, Yuseok Bae2, Joong-won Hwang2 -Computer Vision Laboratory, Incheon National University, South Korea -Electronics and Telecommunications Research Institute, Daejeon, South Korea" -1553084dcbf2235428e7dbf57b57e567c5ea4d1f,AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale,"AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale -Jiayu Du1, Xingyu Na1, Xuechen Liu1, Hui Bu2 -AISHELL foundation∗ -Beijing Shell Shell Technology Co. Ltd., Beijing, China" 157eb982da8fe1da4c9e07b4d89f2e806ae4ceb6,Connecting the dots in multi-class classification: From nearest subspace to collaborative representation,"MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Connecting the Dots in Multi-Class Classification: From @@ -43310,23 +36825,6 @@ Non-Overlapping Cameras using Constrained Dominant Sets Yonatan Tariku Tesfaye*, Student Member, IEEE, Eyasu Zemene*, Student Member, IEEE, Andrea Prati, Senior member, IEEE, Marcello Pelillo, Fellow, IEEE, and Mubarak Shah, Fellow, IEEE" -beb3fd2da7f8f3b0c3ebceaa2150a0e65736d1a2,Adaptive Histogram Equalization and Logarithm Transform with Rescaled Low Frequency DCT Coefficients for Illumination Normalization,"RESEARCH PAPER -International Journal of Recent Trends in Engineering Vol 1, No. 1, May 2009, -Adaptive Histogram Equalization and Logarithm -Transform with Rescaled Low Frequency DCT -Coefficients for Illumination Normalization -Virendra P. Vishwakarma, Sujata Pandey and M. N. Gupta -Department of Computer Science and Engineering -Amity School of Engineering Technology, 580, Bijwasan, New Delhi-110061, India -(Affiliated to Guru Gobind Singh Indraprastha University, Delhi, India) -Email: -illumination normalization. The -lighting conditions. Most of the" -be993d793e393127e3fb34d27fda255894edaedc,UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss,"UnFlow: Unsupervised Learning of Optical Flow -with a Bidirectional Census Loss -Simon Meister, Junhwa Hur, Stefan Roth -Department of Computer Science -TU Darmstadt, Germany" be6f29e129a99529f7ed854384d1f4da04c4ca1f,Spatially Consistent Nearest Neighbor Representations for Fine-Grained Classification. (Représentations d'images basées sur un principe de voisins partagés pour la classification fine),"Spatially Consistent Nearest Neighbor Representations for Fine-Grained Classification Valentin Leveau @@ -43369,11 +36867,6 @@ ment les uns des autres, alors qu’ils sont souvent liés. Ces relations sont parfois prises en compte, au moyen d’un schéma ascendant dépendant fortement de descrip- teurs bas-niveaux, induisant des relations non-pertinentes" -be48b5dcd10ab834cd68d5b2a24187180e2b408f,Constrained Low-Rank Learning Using Least Squares-Based Regularization,"FOR PERSONAL USE ONLY -Constrained Low-rank Learning Using Least -Squares Based Regularization -Ping Li, Member, IEEE, Jun Yu, Member, IEEE, Meng Wang, Member, IEEE, -Luming Zhang, Member, IEEE, Deng Cai, Member, IEEE, and Xuelong Li, Fellow, IEEE," bebea83479a8e1988a7da32584e37bfc463d32d4,Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning,"Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning Supasorn Suwajanakorn∗ Noah Snavely @@ -43449,10 +36942,6 @@ stefanos.kaxiras Alexandra Jimborean lexandra.jimborean Uppsala University" -bea2c35ef78eb40df52e27cf4098f28a79bcbad5,TabletGaze: Unconstrained Appearance-based Gaze Estimation in Mobile Tablets,"TabletGaze: Unconstrained Appearance-based Gaze -Estimation in Mobile Tablets -Qiong Huang, Student Member, IEEE,, Ashok Veeraraghavan, Member, IEEE,, -nd Ashutosh Sabharwal, Fellow, IEEE" be9dde86ebd10ecb05808e034e3cadd210fe0bfb,SLAMIT : A Sub-map based SLAM system On-line creation of multi-leveled map,"Master of Science Thesis in Electrical Engineering Department of Electrical Engineering, Linköping University, 2016 SLAMIT: A Sub-map based @@ -43539,14 +37028,6 @@ Michal Sindlar Cognitive Artificial Intelligence, Utrecht University, Heidelberglaan 6, 3584 CD, Utrecht Marco Wiering Intelligent Systems Group, Utrecht University, Padualaan 14, 3508 TB, Utrecht" -be72b20247fb4dc4072d962ced77ed89aa40372f,"Efficient Facial Representations for Age, Gender and Identity Recognition in Organizing Photo Albums using Multi-output CNN","Ef‌f‌icient Facial Representations for Age, Gender -nd Identity Recognition in Organizing Photo -Albums using Multi-output CNN -Andrey V. Savchenko -Samsung-PDMI Joint AI Center, St. Petersburg Department of Steklov Institute of -Mathematics -National Research University Higher School of Economics -Nizhny Novgorod, Russia" be437b53a376085b01ebd0f4c7c6c9e40a4b1a75,Face Recognition and Retrieval Using Cross Age Reference Coding,"ISSN (Online) 2321 – 2004 ISSN (Print) 2321 – 5526 INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN ELECTRICAL, ELECTRONICS, INSTRUMENTATION AND CONTROL ENGINEERING @@ -43568,16 +37049,6 @@ Detection with Loopy Graph Models Paper by T.-P. Tian and S. Sclaroff Slides by A. Vedaldi" -1910f5f7ac81d4fcc30284e88dee3537887acdf3,Semantic Based Hypergraph Reranking Model for Web Image Search,"Volume 6, Issue 5, May 2016 ISSN: 2277 128X -International Journal of Advanced Research in -Computer Science and Software Engineering -Research Paper -Available online at: www.ijarcsse.com -Semantic Based Hypergraph Reranking Model for Web -Image Search -Amol Darkunde, 2Manoj Jalan, 3Yelmar Mahesh, 4Shivadatta Shinde, 5Dnyanda Patil -, 2, 3, 4 B. E. Dept of CSE, 5 Asst. Prof. Dept of CSE -, 2, 3, 4, 5 Dr.D.Y.Patil College of Engineering, Pune, Maharashtra, India" 19359fb238888c0eb012a4ab5c6f0fa0e9be493b,Enhanced Facial Expression Recognition using 2DPCA Principal component Analysis and Gabor Wavelets,"Enhanced Facial Expression Recognition using 2DPCA Principal component Analysis nd Gabor Wavelets. @@ -43606,10 +37077,6 @@ Andreas Ess1, Konrad Schindler1, Bastian Leibe1,2 and Luc van Gool1,3 ETH Z¨urich KU Leuven, IBBT RWTH Aachen" -199fdc3c0b73d9469d2e732c97e889bfc8bf8bff,"Multi-Class Constrained Normalized Cut With Hard, Soft, Unary and Pairwise Priors and its Applications to Object Segmentation","Multi-Class Constrained Normalized Cut With -Hard, Soft, Unary and Pairwise Priors and Its -Applications to Object Segmentation -Han Hu, Jianjiang Feng, Member, IEEE, Chuan Yu, and Jie Zhou, Senior Member, IEEE" 195d331c958f2da3431f37a344559f9bce09c0f7,Parsing occluded people by flexible compositions,"Parsing Occluded People by Flexible Compositions Xianjie Chen, Alan Yuille University of California, Los Angeles. @@ -43682,10 +37149,6 @@ Tim K. Marks Mitsubishi Electric Research Labs Michael Jones Mitsubishi Electric Research Labs" -1957956856dc04ebee5815bd62874687e2af7260,Joint Optical Flow and Temporally Consistent Semantic Segmentation,"Joint Optical Flow and Temporally Consistent -Semantic Segmentation -Junhwa Hur and Stefan Roth -Department of Computer Science, TU Darmstadt" 19296e129c70b332a8c0a67af8990f2f4d4f44d1,Is that you? Metric learning approaches for face identification,"Metric Learning Approaches for Face Identification Is that you? M. Guillaumin, J. Verbeek and C. Schmid @@ -43761,10 +37224,6 @@ Downloaded from SPIE Digital Library on 22 Dec 2009 to 140.116.214.41. Terms of Bruno Ordozgoiti*a, Alberto Mozoa, Jes´us Garc´ıa L´opez de Lacalleb Department of Computer Systems, Universidad Polit´ecnica de Madrid Department of Applied Mathematics, Universidad Polit´ecnica de Madrid" -197f945b66995e4d006497808586f828f8a88a86,Part Discovery from Partial Correspondence,"Part Discovery from Partial Correspondence -Subhransu Maji -Gregory Shakhnarovich -Toyota Technological Institute at Chicago, IL, USA" 19c53302bda8a82ec40d314a85b1713f43058a1a,Deep learning models of biological visual information processing,"Turcsány, Diána (2016) Deep learning models of iological visual information processing. PhD thesis, University of Nottingham. @@ -43839,11 +37298,6 @@ Wonsik Kim, Bhavya Goyal, Kunal Chawla, Jungmin Lee, Keunjoo Kwon Samsung Research, Samsung Electronics {wonsik16.kim, bhavya.goyal, kunal.chawla, jm411.lee," -192723085945c1d44bdd47e516c716169c06b7c0,Vision and Attention Theory Based Sampling for Continuous Facial Emotion Recognition,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation -Vision and Attention Theory Based Sampling -for Continuous Facial Emotion Recognition -Albert C. Cruz, Student Member, IEEE, Bir Bhanu, Fellow, IEEE, and -Ninad S. Thakoor, Member, IEEE" 197eafb6abb6b7d2813eec0891b143e27fc57386,Smile! Studying expressivity of happiness as a synergic factor in collaborative information seeking,"Smile! Studying expressivity of happiness as a synergic factor in collaborative information seeking. Rutgers University has made this article freely available. Please share how this access benefits you. @@ -43871,24 +37325,6 @@ Computer Engineering Department Istanbul 34230, Turkey Technical report TR-ITS.2007.01 January 26, 2007" -19bc52323383732c3c7d73e11726f6232515d2f9,KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. -KAIST Multi-Spectral Day/Night Data Set for -Autonomous and Assisted Driving -Yukyung Choi -, Namil Kim, Soonmin Hwang, Kibaek Park, Jae Shin Yoon, -Kyounghwan An, Member, IEEE, and In So Kweon, Member, IEEE -i.e., a thermal" -191753aa338f24bb41f7bacb4326e0c0a1b90459,"Visual People Detection – Different Models , Comparison and Discussion","Visual People Detection – Different Models, Comparison and Discussion -Bernt Schiele, Mykhaylo Andriluka, Nikodem Majer, Stefan Roth and Christian Wojek -Department of Computer Science, TU Darmstadt" -19441b8be551e8134dd9eb33238309bc2de0a42f,Playing for Benchmarks,"Playing for Benchmarks -Stephan R. Richter -TU Darmstadt -Zeeshan Hayder -Vladlen Koltun -Intel Labs -Figure 1. Data for several tasks in our benchmark suite. Clockwise from top left: input video frame, semantic segmentation, semantic -instance segmentation, 3D scene layout, visual odometry, optical flow. Each task is presented on a different image." 19d4855f064f0d53cb851e9342025bd8503922e2,Learning SURF Cascade for Fast and Accurate Object Detection,"Learning SURF Cascade for Fast and Accurate Object Detection Jianguo Li, Yimin Zhang Intel Labs China" @@ -43982,13 +37418,6 @@ e151c99b5e55bfc03047a2c6c2118cd9e4ad829b,Perspectives on Deep Multimodel Robot L Robot Learning Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel and Gabriel Oliveira" -e1e60501677ae67c6a682bac2c17e4fc904ee380,Performance Analysis of Local Binary Pattern Variants in Texture Classification,"Performance Analysis of Local Binary Pattern -International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) -Volume 06, Issue 05, May 2017, ISSN: 2278 – 1323 -Variants in Texture Classification -Ch. Sudha Sree1, M. V. P Chandra Sekhara Rao2 -,2Department of CA, Department of CSE, R.V.R &J.C College of Engineering -Guntur, India" e19ebad4739d59f999d192bac7d596b20b887f78,Learning Gating ConvNet for Two-Stream based Methods in Action Recognition,"Learning Gating ConvNet for Two-Stream based Methods in Action Recognition Jiagang Zhu1,2, Wei Zou1, Zheng Zhu1,2" @@ -44005,24 +37434,6 @@ Dr.A.V.Senthil Kumar., Director, Hindustan College of Arts and Science, Coimbatore, Tamil Nadu, India." e1cb110c45c4416f7aff490db2674abe1460259e,Hard-Aware Point-to-Set Deep Metric for Person Re-identification,"Hard-AwarePoint-to-SetDeepMetricforPersonRe-identificationRuiYu1,ZhiyongDou1,SongBai1,ZhaoxiangZhang2,YongchaoXu1( ),andXiangBai1(" -e1140b86c64549cbcd138f868c82ee8aad77d103,Occlusion Handling using Semantic Segmentation and Visibility-Based Rendering for Mixed Reality,"Occlusion Handling using Semantic Segmentation and -Visibility-Based Rendering for Mixed Reality -Menandro Roxas -Tomoki Hori -Taiki Fukiage -Tokyo, Japan -Yasuhide Okamoto -Takeshi Oishi -(cid:140)e University of Tokyo" -e1f815c50a6c0c6d790c60a1348393264f829e60,PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG,"PEDESTRIAN DETECTION AND TRACKING IN -SURVEILLANCE VIDEO -PENNY CHONG -A project report submitted in partial fulfilment of the -requirements for the award of Bachelor of Science (Hons.) -Applied Mathematics with Computing -Lee Kong Chian Faculty of Engineering and Science -Universiti Tunku Abdul Rahman -April 2016" e10662a59b5f8e1f5684409023f11ca727647320,Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images,"Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images Vlad Taran, Nikita Gordienko, Yuriy Kochura, Yuri Gordienko, Alexandr Rokovyi, Oleg @@ -44087,10 +37498,6 @@ Centre, University of Central Lancashire, Preston PR1 2HE, U.K. Keywords: Face Recognition, Shape Matching and Modelling, Isometric Embedding Representation, Non-Rigid Deformation Registration." -e1725b71f3f127d6a49d24f14bee05aada1e2f96,Part-Based Deep Hashing for Large-Scale Person Re-Identification,"Part-based Deep Hashing for Large-scale -Person Re-identification∗ -Fuqing Zhu, Xiangwei Kong, Member, IEEE, Liang Zheng, Member, IEEE, Haiyan Fu, Member, IEEE, -Qi Tian, Fellow, IEEE," e1e2b6a8944a4e6f195b6f7371ee9e6b0684ae6b,Generating Personalized Virtual Agent in Speech Dialogue System for People with Dementia,"Generating Personalized Virtual Agent in Speech Dialogue System for People with Dementia @@ -44118,22 +37525,6 @@ CNN Inference Engine for mW IoT End-Nodes Renzo Andri∗, Lukas Cavigelli∗, Davide Rossi†, Luca Benini∗† Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland DEI, University of Bologna, Bologna, Italy" -e1660c10ae661cf951602232b36047b19198f599,Web Image Search Using Attribute Assisted Re-Ranking Model,"Vol-2 Issue-1 2016 -IJARIIE-ISSN(O)-2395-4396 -Web Image Search Using Attribute Assisted Re- -Ranking Model -Ganesh R Nagare1, Ashok V Markad 2 -Information Technology, Amrutvahini College of Engineering, Maharashtra, India" -e1f790bbedcba3134277f545e56946bc6ffce48d,Image Retrieval Using Attribute Enhanced Sparse Code Words,"International Journal of Innovative Research in Science, -Engineering and Technology -(An ISO 3297: 2007 Certified Organization) -Vol. 3, Issue 5, May 2014 -Sparse Code Words -ISSN: 2319-8753 -Image Retrieval Using Attribute Enhanced -M.Balaganesh1, N.Arthi2 -Associate Professor, Department of Computer Science and Engineering, SRV Engineering College, sembodai, india1 -P.G. Student, Department of Computer Science and Engineering, SRV Engineering College, sembodai, India 2" e18cc09c3d3d79df6cd40ea5cf13ad40eacb8a73,Visual Transfer Learning: Informal Introduction and Literature Overview,"Visual Transfer Learning: Informal Introduction nd Literature Overview Erik Rodner @@ -44225,10 +37616,6 @@ Lunit Inc., Seoul, South Korea b9e82ee9bb4cf016b5ed44b7acd2b42e1a5a6be2,Face recognition by applying wavelet subband representation and kernel associative memory,"Face Recognition by Applying Wavelet Subband Representation and Kernel Associative Memory Bai-Ling Zhang, Haihong Zhang, and Shuzhi Sam Ge, Senior Member, IEEE" -b9b7b37d7edf4482a6f440e282c3418ab1913afa,ThiNet: Pruning CNN Filters for a Thinner Net.,"ACCEPTED BY IEEE TRANS. PAMI -ThiNet: Pruning CNN Filters for a Thinner Net -Jian-Hao Luo, Hao Zhang, Hong-Yu Zhou, Chen-Wei Xie, Jianxin Wu, Member, IEEE, -nd Weiyao Lin, Senior Member, IEEE" b9f8c8db31ab3882f513246b8d39386cea8cf764,Near Real-Time Object Recognition for Pepper based on Deep Neural Networks Running on a Backpack,"Near Real-Time Object Recognition for Pepper ased on Deep Neural Networks Running on a Backpack @@ -44280,10 +37667,6 @@ imec-DistriNet, KU Leuven imec-DistriNet, KU Leuven" b908edadad58c604a1e4b431f69ac8ded350589a,Deep Face Feature for Face Alignment,"Deep Face Feature for Face Alignment Boyi Jiang, Juyong Zhang, Bailin Deng, Yudong Guo and Ligang Liu" -b9305c065b3c95fd0844d16a09fb9cc7c321cf58,Detecting Humans in Dense Crowds Using Locally-Consistent Scale Prior and Global Occlusion Reasoning,"Detecting Humans in Dense Crowds Using -Locally-Consistent Scale Prior and Global -Occlusion Reasoning -Haroon Idrees, Member, IEEE, Khurram Soomro, Member, IEEE, and Mubarak Shah, Fellow, IEEE" 40377a1bc15a9ec28ea54cc53d5cf0699365634f,Строительство автомобильных дорог на основе 3D-моделей,"НЕКООПЕРАТИВНАЯ БИОМЕТРИЧЕСКАЯ ИДЕНТИФИКАЦИЯ ПО 3D- МОДЕЛЯМ ЛИЦА С ИСПОЛЬЗОВАНИЕМ ВИДЕОКАМЕР ВЫСОКОГО РАЗРЕШЕНИЯ @@ -44346,11 +37729,6 @@ ALGORITHM FOR FACE RECOGNITION Saurabh Asija1, Rakesh Singh2 Research Scholar (Computer Engineering Department), Punjabi University, Patiala. Asst. Professor (Computer Engineering Department), Punjabi University, Patiala." -40bd5d4b01c89e84fe2b0f6b1cc22657bf4e8d80,Toward Unconstrained Fingerprint Recognition: A Fully Touchless 3-D System Based on Two Views on the Move,"Toward Unconstrained Fingerprint Recognition: -Fully Touchless 3-D System -Based on Two Views on the Move -Ruggero Donida Labati, Member, IEEE, Angelo Genovese, Member, IEEE, -Vincenzo Piuri, Fellow, IEEE, and Fabio Scotti, Senior Member, IEEE" 400aa5cb2fec558f7827c3638993bae34752ff31,Assessing post-detection filters for a generic pedestrian detector in a tracking-by-detection scheme,"(cid:13)2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. @@ -44401,19 +37779,6 @@ L. D. College of Engineering L. D. College of Engineering L. D. College of Engineering L. D. College of Engineering" -40536b0cc73fda29a335c6ecf9ce891dcb6d04cd,Face Detection Algorithms : A Comparative Study,"Face Detection Algorithms: A Comparative Study -Kapil Kumar Gupta1, M. Rizwan Beg 2 , Jitendra Kumar Niranjan3 -1 Department of Computer Science & Engg., Integral University, -Lucknow, Uttar Pradesh, 226001, India -Department of Computer Science & Engg., Integral University, -Lucknow, Uttar Pradesh, 226001, India -Department of Computer Science & Engg, IMS Engineering College -Ghaziabad, Uttar Pradesh 201009, India" -405a70c184e00eefcf797a0e842578ea0b51f6cd,Learning a Family of Detectors via Multiplicative Kernels,"This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. -Learning a Family of Detectors -via Multiplicative Kernels -Quan Yuan, Member, IEEE, Ashwin Thangali, Student Member, IEEE, -Vitaly Ablavsky, Student Member, IEEE, and Stan Sclaroff, Senior Member, IEEE" 40fb4e8932fb6a8fef0dddfdda57a3e142c3e823,A mixed generative-discriminative framework for pedestrian classification,"A Mixed Generative-Discriminative Framework for Pedestrian Classification Markus Enzweiler1 Dariu M. Gavrila2,3 @@ -44483,10 +37848,6 @@ Ouriel Grynszpan, Institut des" 404c7839afe2fec48a06f83d2a532c05ad8ba0d3,Vehicle Classification using Transferable Deep Neural Network Features,"Vehicle Classification using Transferable Deep Neural Network Features Yiren Zhou, Ngai-Man Cheung" -40f127fa4459a69a9a21884ee93d286e99b54c5f,Optimizing Apparent Display Resolution Enhancement for Arbitrary Videos,"Optimizing Apparent Display Resolution -Enhancement for Arbitrary Videos -Michael Stengel*, Member, IEEE, Martin Eisemann, Stephan Wenger, -Benjamin Hell, Marcus Magnor, Member, IEEE" 405b43f4a52f70336ac1db36d5fa654600e9e643,What can we learn about CNNs from a large scale controlled object dataset?,"What can we learn about CNNs from a large scale controlled object dataset? Ali Borji Saeed Izadi @@ -44532,16 +37893,6 @@ BioID AG, Berlin, Germany WWW home page: http://www.bioid.com" 40205181ed1406a6f101c5e38c5b4b9b583d06bc,Using Context to Recognize People in Consumer Images,"Using Context to Recognize People in Consumer Images Andrew C. Gallagher and Tsuhan Chen" -40a0e080a01094cdb2174e9154540c217d3f9440,IMPROVED SECURITY ASPECTS ON MICROSOFTS TWO-LAYER CAPTCHA,"Vol-2 Issue-5 2017 -IJARIIE-ISSN(O)-2395-4396 -IMPROVED SECURITY ASPECTS ON -MICROSOFTS -TWO -LAYER CAPTCHA -Rachana.B.S, Dhruthi.S, Swarna.R, Chandan.A -Rachana.B.S, Asst.Prof, ISE, APSCE, B’lore, Karnataka, INDIA -Dhruthi S, Student, ISE,, APSCE, Karnataka, India -Swarna R, Student, ISE, APSCE, Karnataka, India -Chandana A, Student, ISE, APSCE, Karnataka, India" 40a34d4eea5e32dfbcef420ffe2ce7c1ee0f23cd,Bridging Heterogeneous Domains With Parallel Transport For Vision and Multimedia Applications,"Bridging Heterogeneous Domains With Parallel Transport For Vision and Multimedia Applications Raghuraman Gopalan @@ -44578,13 +37929,6 @@ Ning Zhang" Dong Huk Park1, Lisa Anne Hendricks1, Zeynep Akata2,3, Anna Rohrbach1,3, Bernt Schiele3, Trevor Darrell1, and Marcus Rohrbach4 EECS, UC Berkeley, 2University of Amsterdam, 3MPI for Informatics, 4Facebook AI Research" -40f5ae73e598114edab3ddaefc38fbdbf5c114b9,Optical Flow Based Face Recognition under Expression,"International Journal of Information Science and Intelligent System, 3(2): 1-12, 2014 -Optical Flow Based Face Recognition under -Expression Variations -Vimala K1,∗, Dr.V.Kalaivani2, V.Anusuya Devi3 -1Assistant Professor, Department of CSE(PG),National Engineering College , Kovilpatti, India -2 Associate Professor(SG) and Head, Department of CSE(PG),National Engineering College India , -Assistant Professor, Department of CSE(PG),National Engineering College, Kovilpatti, India" 401e6b9ada571603b67377b336786801f5b54eee,Active image clustering: Seeking constraints from humans to complement algorithms,"Active Image Clustering: Seeking Constraints from Humans to Complement Algorithms November 22, 2011" @@ -44634,11 +37978,6 @@ Samuel Schulter1,† Menghua Zhai2,† Nathan Jacobs2 Manmohan Chandraker1,3 NEC-Labs1, Computer Science University of Kentucky2, UC San Diego3" -40b5d6a6a38b4f222437d49fcbf8986abbf7b060,Frontal face authentication using morphological elastic graph matching,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 9, NO. 4, APRIL 2000 -Frontal Face Authentication Using Morphological -Elastic Graph Matching -Constatine Kotropoulos, Member, IEEE, Anastasios Tefas, Student Member, IEEE, and -Ioannis Pitas, Senior Member, IEEE" 40c6a2b1cb312f11f8225a733545fdabd436e347,Deep Co-Training for Semi-Supervised Image Recognition,"Deep Co-Training for Semi-Supervised Image Recognition Siyuan Qiao1 Wei Shen1,2 Zhishuai Zhang1 Bo Wang3 Alan Yuille1 @@ -44656,11 +37995,6 @@ The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the author. When referring to this work, full bibliographic details including the author, title, warding institution and date of the thesis must be given." -40c3b350008ada8f3f53a758e69992b6db8a8f95,Discriminative decorrelation for clustering and classification,"Discriminative Decorrelation for Clustering and -Classification￿ -Bharath Hariharan1, Jitendra Malik1, and Deva Ramanan2 -Univerisity of California at Berkeley, Berkeley, CA, USA -University of California at Irvine, Irvine, CA, USA" 40dab43abef32deaf875c2652133ea1e2c089223,Facial Communicative Signals: valence recognition in task-oriented human-robot Interaction,"Noname manuscript No. (will be inserted by the editor) Facial Communicative Signals @@ -44687,11 +38021,6 @@ Pediatric Care" for Subspace Clustering from Corrupted and Incomplete Data Alexander Petukhov, Inna Kozlov" -40c1aec7e0830bf9dd8a689d671024567311ae72,Interact as You Intend: Intention-Driven Human-Object Interaction Detection,"A SUBMISSION TO IEEE TRANSACTIONS ON MULTIMEDIA -Interact as You Intend: Intention-Driven -Human-Object Interaction Detection -Bingjie Xu, Junnan Li, Yongkang Wong, Member, IEEE, Qi Zhao, Member, IEEE, and -Mohan S. Kankanhalli, Fellow, IEEE" 402f6db00251a15d1d92507887b17e1c50feebca,3D Facial Action Units Recognition for Emotional Expression,"D Facial Action Units Recognition for Emotional Expression Norhaida Hussain1, Hamimah Ujir, Irwandi Hipiny and Jacey-Lynn Minoi2 @@ -44733,26 +38062,6 @@ Ark Verma Promotor: Prof. Dr. Marc Brysbaert Proefschrift ingediend tot het behalen van de academische graad van Doctor in de Psychologie" -3caf02979d7cd83d2f3894574c86babf3e201bf3,Seeing to hear? Patterns of gaze to speaking faces in children with autism spectrum disorders,"ORIGINAL RESEARCH ARTICLE -published: 08 May 2014 -doi: 10.3389/fpsyg.2014.00397 -Seeing to hear? Patterns of gaze to speaking faces in -hildren with autism spectrum disorders -Julia R. Irwin1,2* and Lawrence Brancazio1,2 -Haskins Laboratories, New Haven, CT, USA -Department of Psychology, Southern Connecticut State University, New Haven, CT, USA -Edited by: -Jean-Luc Schwartz, National Centre -for Scientific Research, France -Reviewed by: -Satu Saalasti, Brain and Mind -Laboratory, Aalto University School of -Science, Finland -David House, Royal Institute of -Technology, Sweden -*Correspondence: -Julia R. Irwin, Haskins Laboratories, -00 George Street, New Haven," 3c374cb8e730b64dacb9fbf6eb67f5987c7de3c8,Measuring Gaze Orientation for Human-Robot Interaction,"Measuring Gaze Orientation for Human-Robot Interaction R. Brochard∗, B. Burger∗, A. Herbulot∗†, F. Lerasle∗† @@ -44839,9 +38148,6 @@ Privacy-Preserving Mobile Analytics Seyed Ali Ossia(cid:63), Ali Shahin Shamsabadi(cid:63), Ali Taheri(cid:63), Hamid R. Rabiee(cid:63), Nic Lane‡, Hamed Haddadi† (cid:63)Sharif University of Technology, ‡University College London, †Queen Mary University of London" -3c56acaa819f4e2263638b67cea1ec37a226691d,Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition,"Body Joint guided 3D Deep Convolutional -Descriptors for Action Recognition -Congqi Cao, Yifan Zhang, Member, IEEE, Chunjie Zhang, Member, IEEE, and Hanqing Lu, Senior Member, IEEE" 3c8da376576938160cbed956ece838682fa50e9f,Aiding face recognition with social context association rule based re-ranking,"Chapter 4 Aiding Face Recognition with Social Context Association Rule @@ -44891,8 +38197,6 @@ September 2008" 3ca194773fe583661b988fbdf33f7680764438b3,Exploring Nearest Neighbor Approaches for Image Captioning,"Exploring Nearest Neighbor Approaches for Image Captioning Jacob Devlin, Saurabh Gupta, Ross Girshick, Margaret Mitchell, C. Lawrence Zitnick" -3c77e4ce48d1bbcdb682cdc790806e2d5f2d2e1a,Recognition of Genuine Smiles,"Recognition of Genuine Smiles -Hamdi Dibeklioğlu, Member, IEEE, Albert Ali Salah, Member, IEEE, and Theo Gevers, Member, IEEE" 3cd10f6f24c49ce677a18f0984ff4466333d8d13,Correcting rolling-shutter distortion of CMOS sensors using facial feature detection,"© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, @@ -45027,13 +38331,6 @@ NYU Cordelia Schmida" 3cc0d9c1f690addd2c82e60f2a460e3c557ff242,Sort Story: Sorting Jumbled Images and Captions into Stories,"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 925–931, Austin, Texas, November 1-5, 2016. c(cid:13)2016 Association for Computational Linguistics" -3ce0f48106fd872e2c2327596c2677c4680444a2,Use of Vertical Face Profiles for Text Dependent Audio-Visual Biometric Person Authentication.,"Use of Vertical Face Profiles for Text Dependent Audio-Visual Biometric Person -Authentication -Vinod Pathangay and B. Yegnanarayana -Department of Computer Science and Engineering -Indian Institute of Technology Madras -Chennai- 600 036, India -(cid:1)vinod," 3c49dafc82ee24e70e338b896868cd9f82f0edd7,BIOLOGICALLY MOTIVATED 3 D FACE RECOGNITION by,"BIOLOGICALLY MOTIVATED 3D FACE RECOGNITION Albert Ali Salah B.S, in Computer Engineering, Bo˘gazi¸ci University, 1998 @@ -45044,12 +38341,6 @@ the requirements for the degree of Doctor of Philosophy Graduate Program in Bo˘gazi¸ci University" -e644867bc141453d1f0387c76ff5e7f7863c5f4f,Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation,"Learning Pixel-level Semantic Affinity with Image-level Supervision -for Weakly Supervised Semantic Segmentation -Jiwoon Ahn -DGIST, Korea -Suha Kwak -POSTECH, Korea" e6e5a6090016810fb902b51d5baa2469ae28b8a1,Title Energy-Efficient Deep In-memory Architecture for NAND Flash Memories,"Title Energy-Efficient Deep In-memory Architecture for NAND Flash Memories @@ -45107,11 +38398,6 @@ Tae-Kyun Kim9, Jiˇr´ı Matas1, Carsten Rother3 CTU in Prague, 2TU Dresden, 3Heidelberg University, 4Toyota Research Institute 5University of Southern Denmark, 6MVTec Software, 7Taiwan Tech 8FORTH Heraklion, 9Imperial College London, 10TU Munich" -e6dc1200a31defda100b2e5ddb27fb7ecbbd4acd,Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction,"Flexible Manifold Embedding: A Framework -for Semi-Supervised and Unsupervised -Dimension Reduction -Feiping Nie, Dong Xu, Member, IEEE, Ivor Wai-Hung Tsang, and Changshui Zhang, Member, IEEE -, the linear regression function (" e605242319ba495bc5f47abe9f1c08d508d83627,Importance-Aware Semantic Segmentation for Autonomous Driving System,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17) e63a0ea338dfc7293ddd68074baf250e99d0c6d5,Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings,"Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings @@ -45175,9 +38461,6 @@ PES Institute of Technology; Rajajinagar, Bangalore, Karnataka, India. PES University; Banashankari, Bangalore, Karnataka, India. * Corresponding author. Tel.: +91-9731054855; email: Manuscript submitted May 15, 2018; accepted July 8, 2018." -e68083909381a8fbd0e4468aa06204ac00a0e6fc,Visual Identification by Signature Tracking,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 2, FEBRUARY 2003 -Visual Identification by Signature Tracking -Mario E. Munich, Member, IEEE, and Pietro Perona, Member, IEEE" e624c73e3057a1de75e9d6d7e813771154ff1375,Incorporating Scalability in Unsupervised Spatio- Temporal Feature Learning,"INCORPORATING SCALABILITY IN UNSUPERVISED SPATIO-TEMPORAL FEATURE LEARNING Sujoy Paul, Sourya Roy and Amit K. Roy-Chowdhury @@ -45196,10 +38479,6 @@ Univ. Lille, CNRS, Centrale Lille, Inria, UMR 9189 - CRIStAL, F-59000 Lille, France Bilal Piot DeepMind" -e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5,Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context,"IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. XX, NO. XX, MONTH YEAR -Multi-person Tracking by Online Learned Grouping -Model with Non-linear Motion Context -Xiaojing Chen, Zhen Qin, Le An, Member, IEEE, and Bir Bhanu, Fellow, IEEE" e63f4867c73eff9ff7cdf31246585a6915acef57,Digging Into Self-Supervised Monocular Depth Estimation,"Digging Into Self-Supervised Monocular Depth Estimation Cl´ement Godard @@ -45220,12 +38499,6 @@ Xuelin Qian1, Yanwei Fu1, Tao Xiang2, Wenxuan Wang1 Jie Qiu3, Yang Wu3, Yu-Gang Jiang1, Xiangyang Xue1 Fudan University; 2Queen Mary University of London; Nara Institute of Science and Technology;" -e68ef9597613cd2b6cf76e81c13eb061ee468485,Latent Convolutional Models,"Published as a conference paper at ICLR 2019 -LATENT CONVOLUTIONAL MODELS -ShahRukh Athar -Skolkovo Institute of Science and Technology (Skoltech), Russia -Evgeny Burnaev -Victor Lempitsky∗" e6d8ebfd88ee333deccce32b09ee41d271af6dc4,Grasp2Vec: Learning Object Representations from Self-Supervised Grasping,"Grasp2Vec: Learning Object Representations from Self-Supervised Grasping Eric Jang *,1, Coline Devin *,2,†, Vincent Vanhoucke1, and Sergey Levine1,2 @@ -45407,27 +38680,13 @@ Christian Th´eriault(1), Nicolas Thome(1), Matthieu Cord(1), Patrick P´erez(2) (1)UPMC-Sorbonne Universities, Paris, France (2)Technicolor, France" 10be82098017fc2d60b0572cea8032afabad5d1a,A Dataset for Multimodal Question Answering in the Cultural Heritage Domain,"Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH), pages 10–17, Osaka, Japan, December 11-17 2016." -10d334a98c1e2a9e96c6c3713aadd42a557abb8b,Scene Text Recognition Using Part-Based Tree-Structured Character Detection,"Scene Text Recognition using Part-based Tree-structured Character Detection -Cunzhao Shi, Chunheng Wang, Baihua Xiao, Yang Zhang, Song Gao and Zhong Zhang -State Key Laboratory of Management and Control for Complex Systems, CASIA, Beijing, China" -106732a010b1baf13c61d0994552aee8336f8c85,Expanded Parts Model for Semantic Description of Humans in Still Images,"Expanded Parts Model for Semantic Description -of Humans in Still Images -Gaurav Sharma, Member, IEEE, Fr´ed´eric Jurie, and Cordelia Schmid, Fellow, IEEE" 10d710c01acb10c4aea702926d21697935656c3d,Infrared Colorization Using Deep Convolutional Neural Networks,"Infrared Colorization Using Deep Convolutional Neural Networks Matthias Limmer∗, Hendrik P.A. Lensch† Daimler AG, Ulm, Germany Department of Computer Graphics, Eberhard Karls Universität, Tübingen, Germany" -106b54ed74f0fffaf6408a9b847d4ac0aa0ffef9,Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 11, NO. 4, DECEMBER 2015 -Block-Diagonal Sparse Representation by Learning -Linear Combination Dictionary for Recognition -Xinglin Piao, Yongli Hu, Member, IEEE, Yanfeng Sun, Member, IEEE, Junbin Gao, Baocai Yin, Member, IEEE" 100641ed8a5472536dde53c1f50fa2dd2d4e9be9,Visual attributes for enhanced human-machine communication,"Visual Attributes for Enhanced Human-Machine Communication* Devi Parikh1" -102a2096ba2e2947dc252445f764e7583b557680,Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks,"Precomputed Real-Time Texture Synthesis with -Markovian Generative Adversarial Networks -Chuan Li and Michael Wand -Institut for Informatik, University of Mainz, Germany" 10114df7ddbb221337cc1e99e1de0eab8e47c95d,Evaluating Feature Importance for Re-identification,"Chapter 9 Evaluating Feature Importance for Re-Identification @@ -45475,11 +38734,6 @@ Research Supervisor: William T. Freeman" 1059729bcca57731c81d8a9c866ceb8ed3547d8d,Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles,"Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles Bastian Leibe, Konrad Schindler, Nico Cornelis, and Luc Van Gool" -101c5b39f4fc4dda1f39bf0c00e196f0a4720af2,Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features,"Viewpoint Invariant Human Re-identification in -Camera Networks Using Pose Priors and -Subject-Discriminative Features -Ziyan Wu, Student Member, IEEE, Yang Li, Student Member, IEEE, and Richard J. Radke, Senior -Member, IEEE" 106150b707a31f0825bdae44eca4139b715547d6,Robust Semantic Segmentation with Ladder-DenseNet Models,"Robust Semantic Segmentation with Ladder-DenseNet Models Ivan Kreˇso Marin Orˇsi´c @@ -45495,11 +38749,6 @@ Takaaki Hori†, Anoop Cherian†, Tim K. Marks†, Irfan Essa∗, Dhruv Batra∗ Devi Parikh∗, Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA School of Interactive Computing, Georgia Tech" -108b2581e07c6b7ca235717c749d45a1fa15bb24,Using Stereo Matching with General Epipolar Geometry for 2D Face Recognition across Pose,"Using Stereo Matching with General Epipolar -Geometry for 2D Face Recognition -cross Pose -Carlos D. Castillo, Student Member, IEEE, and -David W. Jacobs, Member, IEEE" 10c4b2489d7e1ee43a1d19724d3c1e9c33ca3f29,A Question-Answering framework for plots using Deep learning,"A Question-Answering framework for plots using Deep learning Revanth Reddy1, Rahul Ramesh1, Ameet Deshpande1 and Mitesh M. Khapra1 Indian Institute of Technology Madras" @@ -45587,10 +38836,6 @@ occlusion of targets and observations nonymous submission Keywords: Tracking, graphical models, MAP inference, particle tracking, live cell tracking, intelligent headlights." -10e7dd3bbbfbc25661213155e0de1a9f043461a2,Cross Euclidean-to-Riemannian Metric Learning with Application to Face Recognition from Video,"Cross Euclidean-to-Riemannian Metric Learning -with Application to Face Recognition from Video -Zhiwu Huang, Member, IEEE, Ruiping Wang, Member, IEEE, Shiguang Shan, Senior Member, IEEE, -Luc Van Gool, Member, IEEE and Xilin Chen, Fellow, IEEE" 10e3b9fe646c6e81ec824cdc2391cc412a1b2730,Solving Three Czech NLP Tasks End-to-End with Neural Models,"S. Krajˇci (ed.): ITAT 2018 Proceedings, pp. 138–143 CEUR Workshop Proceedings Vol. 2203, ISSN 1613-0073, c(cid:13) 2018 Jindˇrich Libovický, Rudolf Rosa, Jindˇrich Helcl, and Martin Popel" 1038aa6c1f63c1de9045f10e47ed573810cb4a52,A Video-Based Method for Objectively Rating Ataxia,"A Video-Based Method for Objectively Rating Ataxia @@ -45628,26 +38873,6 @@ schangpi, Fei Sha U. of California Los Angeles, CA" -107010b7f2abe3c0c9df62bcef35eb77f6fc76df,Domain-adversarial training of neural networks,"Journal of Machine Learning Research 17 (2016) 1-35 -Submitted 5/15; Published 4/16 -Domain-Adversarial Training of Neural Networks -Yaroslav Ganin -Evgeniya Ustinova -Skolkovo Institute of Science and Technology (Skoltech) -Skolkovo, Moscow Region, Russia -Hana Ajakan -Pascal Germain -D´epartement d’informatique et de g´enie logiciel, Universit´e Laval -Qu´ebec, Canada, G1V 0A6 -Hugo Larochelle -D´epartement d’informatique, Universit´e de Sherbrooke -Qu´ebec, Canada, J1K 2R1 -Fran¸cois Laviolette -Mario Marchand -D´epartement d’informatique et de g´enie logiciel, Universit´e Laval -Qu´ebec, Canada, G1V 0A6 -Victor Lempitsky -Skolkovo Institute of Science and Technology (Skoltech)" 4c1ef2a628627798939dccc072d33f9e12b48640,Advanced Hybrid Color Space Normalization for Human Face Extraction and Detection,"IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 4, 2013 | ISSN (online): 2321-0613 Advanced Hybrid Color Space Normalization for Human Face Extraction and Detection @@ -45671,26 +38896,6 @@ its Application to Sepsis Classification Yoshihide Sawada1 and Yoshikuni Sato2 and Toru Nakada2 and Kei Ujimoto2 and Nobuhiro Hayashi3" 4c39000bbd6761dd9e5609fe310af51facb835a9,Kinects and human kinetics : A new approach for studying pedestrian behavior,"This paper might be a pre-copy-editing or a post-print author-produced .pdf of an article accepted for publication. For the definitive publisher-authenticated version, please refer directly to publishing house’s archive system." -4cf17bca0e19070fbe9bb25644787f65fa6ebe1a,Human Pose Estimation.,"Human pose estimation -Leonid Sigal, Disney Research, Pittsburgh -Synonyms -– Articulated pose estimation -– Body configuration recovery -Related Concepts -– Human pose tracking -– People tracking -– Articulated pose tracking -– Body parsing -– People parsing -Definition -Human pose estimation is the process of estimating the configuration of the -ody (pose) from a single, typically monocular, image. -Background -Human pose estimation is one of the key problems in computer vision that -has been studied for well over 15 years. The reason for its importance is the -bundance of applications that can benefit from such a technology. For example, -human pose estimation allows for higher level reasoning in the context of human- -omputer interaction and activity recognition; it is also one of the basic building" 4c81789b13b016afc5ef47591268533674c2a3f6,Mapless Online Detection of Dynamic Objects in 3D Lidar,"Mapless Online Detection of Dynamic Objects in 3D Lidar David J. Yoon, Tim Y. Tang, and Timothy D. Barfoot model-free," @@ -45751,20 +38956,6 @@ Yang Wang‡ University of Illinois at Urbana Champaign† David Forsyth† University of Manitoba‡" -4c1ce6bced30f5114f135cacf1a37b69bb709ea1,Gaze direction estimation by component separation for recognition of Eye Accessing Cues,"Gaze Direction Estimation by Component Separation for -Recognition of Eye Accessing Cues -Ruxandra Vrˆanceanu -Image Processing and Analysis Laboratory -University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313 -Corneliu Florea -Image Processing and Analysis Laboratory -University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313 -Laura Florea -Image Processing and Analysis Laboratory -University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313 -Constantin Vertan -Image Processing and Analysis Laboratory -University ”Politehnica” of Bucharest, Romania, Address Splaiul Independent¸ei 313" 4c4454aa7a2a244c678f507a982fe8827ba419bb,Adversarial Examples for Semantic Image Segmentation,"Workshop track - ICLR 2017 ADVERSARIAL EXAMPLES FOR SEMANTIC IMAGE SEGMENTATION @@ -45784,33 +38975,11 @@ Jianqing Zhu, Huanqiang Zeng, Jingchang Huang, Shengcai Liao, Zhen Lei, Canhui C 4cbb370f0bb6af0052bad6855cf1d9776376ceb3,Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection,"Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection Di Feng1, Lars Rosenbaum1, Klaus Dietmayer2" -4cbb4801667e2bee41e849b7d226cfcd1c501139,Stixmantics: A Medium-Level Model for Real-Time Semantic Scene Understanding,"Stixmantics: A Medium-Level Model -for Real-Time Semantic Scene Understanding -Timo Scharw¨achter1,2, Markus Enzweiler1, Uwe Franke1, and Stefan Roth2 -Environment Perception, Daimler R&D, Sindelfingen, Germany -Department of Computer Science, TU Darmstadt, Germany" 4cfdd0c8313ac4f92845dcd658115beb115b97ce,Multi-Task Learning as Multi-Objective Optimization,"Multi-Task Learning as Multi-Objective Optimization Ozan Sener Intel Labs Vladlen Koltun Intel Labs" -4cfae149d6acd8cffc12c06ed796f1f84dce0e73,Face Recognition Based on Image Latent Semantic Analysis Model and SVM,"International Journal of Signal Processing, Image Processing and Pattern Recognition -Vol. 6, No. 3, June, 2013 -Face Recognition Based on Image Latent Semantic Analysis Model -nd SVM -Jucheng Yang 1, 2, Min Luo3 and Yanbin Jiao4 -Ahead Software Company Limited, Nanchang, 330041, China -College of Computer Science and Information Engineering, Tianjin University of -Science and Technology, Tianjin, China -Jiangxi Institute of Computing Technology, Nanchang, China -School of Information Technology, Jiangxi University of Finance and Economics, -Nanchang, China" -4cff5b5099b0227730efa9e9fd724a63dc0c0c2f,Learning Efficient Binary Codes From High-Level Feature Representations for Multilabel Image Retrieval,"Learning Efficient Binary Codes From -High-Level Feature Representations -for Multilabel Image Retrieval -Lei Ma -, Hongliang Li, Senior Member, IEEE, Fanman Meng, Member, IEEE, Qingbo Wu, Member, IEEE, -nd King Ngi Ngan, Fellow, IEEE" 4c0d7c0c4b0a1dd2fd11853ab98ea1fa79e0716b,Feature Extraction for Human Detection using HOG and CS-LBP methods,"International Journal of Computer Applications (0975 – 8887) National Conference “Electronics, Signals, Communication and Optimization"" (NCESCO 2015) Feature Extraction for Human Detection using HOG and @@ -45859,11 +39028,6 @@ Christophe Garcia France Telecom R&D – TECH/IRIS , rue du Clos Courtel – BP 91226 5512 Cesson Sévigné Cedex, France" -4cc675422395ed7dc7e4772280f7c57cac6fbaee,Efficient person re-identification by hybrid spatiogram and covariance descriptor,"Efficient Person Re-identification by Hybrid Spatiogram and Covariance -Descriptor -Mingyong Zeng, Zemin Wu, Chang Tian, Lei Zhang, and Lei Hu -College of Communications Engineering, PLA University -of Science and Technology, Nanjing 210007, China" 4c0ce0ed9cc92115874be4397f6240769d3ed84f,The effect of familiarity on face adaptation.,"doi:10.1068/p6774 The effect of familiarity on face adaptation Sarah Laurence, Graham Hole @@ -45939,17 +39103,6 @@ Dan Mikami, Kazuhiro Otsuka, Shiro Kumano and Junji Yamato NTT Communication Science Laboratories, NTT, 3-1 Morinosato-Wakamiya, Atsugi, Kanagawa, 243-0198, Japan Keywords: Pose Tracking, Face Pose, Memory-based Prediction, Memory Acquisition." -4c22a9f6f3f2a6071327a1fa1f6fdc7ffd06987c,Face Recognition System with various Expression and Occlusion based on a Novel Block Matching Algorithm and PCA,"International Journal of Computer Applications (0975 – 8887) -Volume 38– No.11, January 2012 -Face Recognition System with various Expression -nd Occlusion based on a Novel Block Matching -Algorithm and PCA -Shermina.J -V.Vasudevan -Department of Information Technology -HoD, Department of Information Technology -Kalasalingam University -India" 4c88e41424022c7c5f111d34d931fae15f52a551,"CUR Decompositions, Similarity Matrices, and Subspace Clustering","CUR Decompositions, Similarity Matrices, and Subspace Clustering Akram Aldroubi, Keaton Hamm, Ahmet Bugra Koku, and Ali Sekmen" @@ -45986,17 +39139,6 @@ Adam Z. Stieg2,3*, James K. Gimzewski1,2,3 Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, California, United States of America, 2 California NanoSystems Institute, University of California Los Angeles, Los Angeles, California, United States of America, 3 World Premier International Center for Materials Nanoarchitectonics, National Institute for Materials Science, Tsukuba, Ibaraki, Japan" -4c41b774a6bdf43d980f640880cc49b82ae19b34,3D Facial Landmark Detection under Large Yaw and Expression Variations,"D Facial Landmark Detection under -Large Yaw and Expression Variations -Panagiotis Perakis, Member, IEEE Computer Society, Georgios Passalis, -Theoharis Theoharis, and Ioannis A. Kakadiaris, Senior Member, IEEE" -4cbf873d3d359200267a3bc33d45c442061f6989,Robust FFT-Based Scale-Invariant Image Registration with Image Gradients,"Short Papers___________________________________________________________________________________________________ -Robust FFT-Based Scale-Invariant Image -Registration with Image Gradients -Georgios Tzimiropoulos, Member, IEEE, -Vasileios Argyriou, Member, IEEE, -Stefanos Zafeiriou, Member, IEEE, and -Tania Stathaki" 4c55ea9c04d46d60ec5789f4e4c3224c41360768,Dimensionality Reduction Using Similarity-Induced Embeddings,"IEEE Copyright Notice Copyright c(cid:13)2017 IEEE Personal use of this material is permitted. Permission from @@ -46050,37 +39192,6 @@ Jia Jie Zhu" 8646f22a46b65c2018bc39ad3cbdb939e788a1fc,Learning a Confidence Measure for Optical Flow,"Learning a Confidence Measure for Optical Flow Oisin Mac Aodha, Ahmad Humayun, Marc Pollefeys and Gabriel J. Brostow" -861b12f405c464b3ffa2af7408bff0698c6c9bf0,An Effective Technique for Removal of Facial Dupilcation by SBFA Miss .,"International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 -Volume: 3 Issue: 5 -3337 - 3342 -_______________________________________________________________________________________________ -An Effective Technique for Removal of Facial Dupilcation by SBFA -Miss. Deepika B. Patil -Computer Department, -GHRCEM, -Pune, India -Dr. Ayesha Butalia -Computer Department, -GHRCEM, -Pune, India" -86be567bab1293ed847979d2c56a662fcbcbc1d5,Exploiting View-Specific Appearance Similarities Across Classes for Zero-Shot Pose Prediction: A Metric Learning Approach,"Exploiting View-Specific Appearance Similarities Across Classes for -Zero-shot Pose Prediction: A Metric Learning Approach -Alina Kuznetsova -Leibniz University Hannover -Appelstr 9A, 30169 -Hannover, Germany -Sung Ju Hwang -UNIST -50 UNIST-gil, 689798 -Ulsan, Korea -Bodo Rosenhahn -Leibniz University Hannover -Appelstr 9A, 30169 -Hannover, Germany -Leonid Sigal -Disney Research -720 Forbes Avenue, 15213 -Pittsburgh, PA, US" 8629c779581a0f46452bc4ca45b571bfbd3cd063,Defoiling Foiled Image Captions,"Defoiling Foiled Image Captions Pranava Madhyastha, Josiah Wang and Lucia Specia Department of Computer Science @@ -46115,26 +39226,6 @@ Peer reviewed eScholarship.org Powered by the California Digital Library University of California" -86cdc6ae46f53ac86b9e0ace2763c5fe15633055,Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion,"Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion -Giovanni De Magistris1, Asim Munawar1, Tu-Hoa Pham1, Tadanobu Inoue1, -Phongtharin Vinayavekhin1, Ryuki Tachibana1 -IBM Research - Tokyo, Japan -The accurate modeling of real-world systems and -physical interactions is a common challenge towards the -resolution of robotics tasks. Machine learning approaches -have demonstrated significant results in the modeling of -omplex systems (e.g., articulated robot structures, ca- -le stretch, fluid dynamics), or to learn robotics tasks -(e.g., grasping, reaching) from raw sensor measurements -without explicit programming, using reinforcement learn- -ing. However, a common bottleneck in machine learn- -ing techniques resides in the availability of suitable data. -While many vision-based datasets have been released in -the recent years, ones involving physical interactions, of -particular interest for the robotic community, have been -scarcer. In this paper, we present a public dataset on peg- -in-hole insertion tasks containing force-torque and pose -information for multiple variations of convex-shaped pegs." 867fd4914a265b5dd4494f14273b8d28257c7b5b,A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters,"Article A Comparison of FPGA and GPGPU Designs for Bayesian Occupancy Filters @@ -46242,19 +39333,6 @@ Person Re-identification Jiayun Wanga, Sanping Zhoua, Jinjun Wanga,∗, Qiqi Houa The institute of artificial intelligence and robotic, Xi’an Jiaotong University, Xianning West Road No.28, Shaanxi, 710049, P.R. China" -86f72a4391c3b90a03f8fbbd28d4846947f028d6,Principal Manifolds and Probabilistic Subspaces for Visual Recognition,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 6, -JUNE 2002 -Principal Manifolds and Probabilistic -Subspaces for Visual Recognition -Baback Moghaddam, Member, IEEE" -867e709a298024a3c9777145e037e239385c0129,ANALYTICAL REPRESENTATION OF UNDERSAMPLED FACE RECOGNITION APPROACH BASED ON DICTIONARY LEARNING AND SPARSE REPRESENTATION,"INTERNATIONAL JOURNAL -OF PROFESSIONAL ENGINEERING STUDIES Volume VIII /Issue 2 / FEB 2017 -ANALYTICAL REPRESENTATION OF UNDERSAMPLED FACE -RECOGNITION APPROACH BASED ON DICTIONARY LEARNING -AND SPARSE REPRESENTATION -Murala Sandeep1 A.Mallikarjuna Reddy2 P.Rajashaker Reddy3 Dr. G. Vishnu murthy4 -(M.Tech)1, Assistant Professor2, Assistant Professor3, HOD of CSE Department4 -Anurag group of institutions Ghatkesar, Ranga Reddy, Hyderabad, India" 86614c2d2f6ebcb9c600d4aef85fd6bf6eab6663,Benchmarks for Cloud Robotics,"Benchmarks for Cloud Robotics Arjun Singh Electrical Engineering and Computer Sciences @@ -46262,34 +39340,6 @@ University of California at Berkeley Technical Report No. UCB/EECS-2016-142 http://www.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-142.html August 12, 2016" -86163c4270fa1173640e7b1f526ffdb482f45f17,ContextVP: Fully Context-Aware Video Prediction,"ContextVP: Fully Context-Aware Video -Prediction -Wonmin Byeon1,2,3,4, Qin Wang2, -Rupesh Kumar Srivastava4, and Petros Koumoutsakos2 -NVIDIA, Santa Clara, CA, USA -ETH Zurich, Zurich, Switzerland -The Swiss AI Lab IDSIA, Manno, Switzerland -NNAISENSE, Lugano, Switzerland" -86e5f81bde496549e9df2b1abdef0879a3135adb,The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR,"The Visual QA Devil in the Details: The Impact -of Early Fusion and Batch Norm on CLEVR -Mateusz Malinowski and Carl Doersch -DeepMind, London, United Kingdom -Introduction -Visual QA is a pivotal challenge for higher-level reasoning [1,2,3,4], requiring -understanding language, vision, and relationships between many objects in a -scene. Although datasets like CLEVR [5] are designed to be unsolvable with- -out such complex relational reasoning, some surprisingly simple feed-forward, -“holistic” models have recently shown strong performance on this dataset [6,7]. -These models lack any kind of explicit iterative, symbolic reasoning procedure, -which are hypothesized to be necessary for counting objects, narrowing down -the set of relevant objects based on several attributes, etc. The reason for this -strong performance is poorly understood. Hence, our work analyzes such mod- -els, and finds that minor architectural elements are crucial to performance. In -particular, we find that early fusion of language and vision provides large per- -formance improvements. This contrasts with the late fusion approaches popular -t the dawn of Visual QA [5,8,9,10]. We propose a simple module we call Mul- -timodal Core (MC), which we hypothesize performs the fundamental operations -for multimodal tasks. We believe that understanding why these elements are so" 861802ac19653a7831b314cd751fd8e89494ab12,"Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications","Marcin Grzegorzek, Christian Theobalt, Reinhard Koch, Andreas Kolb Time-of-Flight and Depth Imaging. Sensors, Algorithms @@ -46312,26 +39362,6 @@ last few years. The present techniques..." 86c053c162c08bc3fe093cc10398b9e64367a100,Cascade of forests for face alignment,"Cascade of Forests for Face Alignment Heng Yang, Changqing Zou, Ioannis Patras" -86b6de59f17187f6c238853810e01596d37f63cd,Competitive Representation Based Classification Using Facial Noise Detection,"(IJACSA) International Journal of Advanced Computer Science and Applications, -Vol. 7, No. 3, 2016 -Competitive Representation Based Classification -Using Facial Noise Detection -Tao Liu -Ying Liu -Chongqing Key Laboratory of Computational Intelligence -College of Computer Science and Technology, Chongqing -Chongqing Key Laboratory of Computational Intelligence -College of Computer Science and Technology, Chongqing -University of Posts and Telecommunications -University of Posts and Telecommunications -Chongqing, China -Chongqing, China -Cong Li -Chao Li -Chongqing Key Laboratory of Computational Intelligence -College of Computer Science and Technology, Chongqing -Chongqing Key Laboratory of Computational Intelligence -College of Computer Science and Technology, Chongqing" 86b1751b265b289b09de79956e77a01d82e12086,Face recognition in multi-camera surveillance videos,"1st International Conference on Pattern Recognition (ICPR 2012) November 11-15, 2012. Tsukuba, Japan 978-4-9906441-1-6 ©2012 IAPR" @@ -46400,14 +39430,6 @@ destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires" -da4170c862d8ae39861aa193667bfdbdf0ecb363,Multi-Task CNN Model for Attribute Prediction,"Multi-task CNN Model for Attribute Prediction -Abrar H. Abdulnabi, Student Member, IEEE, Gang Wang, Member, IEEE, , Jiwen Lu, Member, IEEE -nd Kui Jia, Member, IEEE" -da24f3e196c5345ce08dfcc835574035da197f48,A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2017 -A Global Alignment Kernel based Approach for -Group-level Happiness Intensity Estimation -Xiaohua Huang, Abhinav Dhall, Roland Goecke, Member, IEEE, Matti Pietik¨ainen, Fellow, IEEE, and -Guoying Zhao, Senior Member, IEEE" daef6fa60c7d79930ad0a341aab69f1f4fa80442,Supplement for BIER,"Supplement for BIER . Introduction In this document we provide further insights into Boost- @@ -46589,9 +39611,6 @@ University Malaysia Perlis (UniMAP) School of Mechatronics Engineering 02600 Jejawi - Perlis MALAYSIA" -bf9f26780d7207c8845d7787b6003a8df161afb8,Counting People With Low-Level Features and Bayesian Regression,"Counting People With Low-Level Features -nd Bayesian Regression -Antoni B. Chan, Member, IEEE, and Nuno Vasconcelos, Senior Member, IEEE" bff354d05823c83215183c8824faefbc093de011,A new efficient SVM and its application to real-time accurate eye localization,"Proceedings of International Joint Conference on Neural Networks, San Jose, California, USA, July 31 – August 5, 2011 A New Efficient SVM and Its Application to Real-time Accurate Eye Localization @@ -46610,10 +39629,6 @@ Dissertation Committee: Professor Amit K. Roy-Chowdhury, Chairperson Professor Anastasios Mourikis Professor Walid Najjar" -bfdcd4d5cc10c8c64743fc7be7e7ad6709d93b53,Evaluation of PCA and LDA techniques for Face recognition using ORL face database,"Evaluation of PCA and LDA techniques for Face -recognition using ORL face database -CSE Dept. Faculty of Engineering, Avinashilingam University, Coimbatore, India -M.Saraswathi, Dr. S. Sivakumari" bf1e0279a13903e1d43f8562aaf41444afca4fdc,Different Viewpoints of Recognizing Fleeting Facial Expressions with DWT,"International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 10 | Oct -2017 www.irjet.net p-ISSN: 2395-0072 Different Viewpoints of Recognizing Fleeting Facial Expressions with @@ -46632,9 +39647,6 @@ bf9d47987943e8c763ea42fbfd4b71c08ffda266,LECTURE ATTENDANCE SYSTEM WITH FACE REC IJARSE, Vol. No.2, Issue No.3, March, 2013 ISSN-2319-8354(E) LECTURE ATTENDANCE SYSTEM WITH FACE RECOGNITION AND IMAGE PROCESSING" -bf5940d57f97ed20c50278a81e901ae4656f0f2c,Query-Free Clothing Retrieval via Implicit Relevance Feedback,"Query-free Clothing Retrieval via Implicit -Relevance Feedback -Zhuoxiang Chen, Zhe Xu, Ya Zhang, Member, IEEE, and Xiao Gu" bf4f76c3da8a46783dfd2b72651e2300901ced25,Robust aggregation of GWAP tracks for local image annotation,"Robust aggregation of GWAP tracks for local image annotation C. Bernaschina, P. Fraternali, L. Galli, D. Martinenghi, M. Tagliasacchi @@ -46645,38 +39657,10 @@ Richard Chen1, Faisal Mahmood2, Alan Yuille1 and Nicholas J. Durr2 Department of Computer Science 2Department of Biomedical Engineering Johns Hopkins University, Baltimore, MD {rchen40, faisalm, ayuille," -bfebba8356c5d20dc6a9b2f72ff66adaf63321b7,End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation,"End-to-End Pedestrian Collision Warning System -ased on a Convolutional Neural Network -with Semantic Segmentation -Heechul Jung -DGIST -Daegu, Republic of Korea -Min-Kook Choi -DGIST -Daegu, Republic of Korea -Kwon Soon -DGIST -Daegu, Republic of Korea -Woo Young Jung -DGIST -Daegu, Republic of Korea" bfa763e7cec812f855c712895fa48eae89a34a00,Face Retrieval using Frequency Decoded Local Descriptor,"PREPRINT: ACCEPTED IN MULTIMEDIA TOOLS AND APPLICATIONS, SPRINGER Face Retrieval using Frequency Decoded Local Descriptor Shiv Ram Dubey" -bfd8bfce7c998a7bf209b7bf2e6c2e1f03c4334e,Discriminative Face Alignment,"Discriminative Face Alignment -Xiaoming Liu, Member, IEEE" -bff77a3b80f40cefe79550bf9e220fb82a74c084,Facial Expression Recognition Based on Local Binary Patterns and Local Fisher Discriminant Analysis,"Facial Expression Recognition Based on Local Binary Patterns and -Local Fisher Discriminant Analysis -SHIQING ZHANG 1, XIAOMING ZHAO 2, BICHENG LEI 1 -School of Physics and Electronic Engineering -Taizhou University -Taizhou 318000 -CHINA -2Department of Computer Science -Taizhou University -Taizhou 318000 -CHINA" bf86c65a4a3d81ca422600fdbc5d31eb56e098b9,Fusion Algorithms for Face Localization,"Algorithms Fusion for Face Localization R. BELAROUSSI @@ -46721,26 +39705,6 @@ Federica Battisti, Marco Carli, Giovanna Farinella, Alessandro Neri Applied Electronics Department Universit(cid:19)a degli Studi Roma TRE Rome, Italy" -bfffcd2818a1679ac7494af63f864652d87ef8fa,Neural Importance Sampling,"Neural Importance Sampling -THOMAS MÜLLER, Disney Research & ETH Zürich -BRIAN MCWILLIAMS, Disney Research -FABRICE ROUSSELLE, Disney Research -MARKUS GROSS, Disney Research & ETH Zürich -JAN NOVÁK, Disney Research -We propose to use deep neural networks for generating samples in Monte -Carlo integration. Our work is based on non-linear independent compo- -nents estimation (NICE), which we extend in numerous ways to improve -performance and enable its application to integration problems. First, we -introduce piecewise-polynomial coupling transforms that greatly increase -the modeling power of individual coupling layers. Second, we propose to -preprocess the inputs of neural networks using one-blob encoding, which -stimulates localization of computation and improves inference. Third, we de- -rive a gradient-descent-based optimization for the KL and the χ 2 divergence -for the specific application of Monte Carlo integration with unnormalized -stochastic estimates of the target distribution. Our approach enables fast and -ccurate inference and efficient sample generation independently of the di- -mensionality of the integration domain. We show its benefits on generating -natural images and in two applications to light-transport simulation: first," bf8bcda2e4d04b6bd6f5e70622e972baf525a1c7,Three decades of Cognition & Emotion: A brief review of past highlights and future prospects.,"COGNITION AND EMOTION, 2018 VOL. 32, NO. 1, 1–12 https://doi.org/10.1080/02699931.2018.1418197 @@ -46751,9 +39715,6 @@ Amsterdam, the Netherlands" bfa6ad4d71008505729274d008a9b4a7d92b2985,Semantic Understanding of Scenes Through the ADE20K Dataset,"Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou · Hang Zhao · Xavier Puig · Tete Xiao · Sanja Fidler · Adela Barriuso · Antonio Torralba" -bff9d100e99dd6a99ec26ca867694075b1dcac92,Passive Multimodal 2-D+3-D Face Recognition Using Gabor Features and Landmark Distances,"Passive Multimodal 2-D+3-D Face Recognition -Using Gabor Features and Landmark Distances -Sina Jahanbin, Member, IEEE, Hyohoon Choi, Member, IEEE, and Alan C. Bovik, Fellow, IEEE" bf39babab5648ff64cc4b79bfec96e8c6c93b812,The Impact of Disappointment in Decision Making: Inter-Individual Differences and Electrical Neuroimaging,"(cid:65)(cid:114)(cid:116)(cid:105)(cid:99)(cid:108)(cid:101) (cid:84)(cid:104)(cid:101)(cid:32)(cid:73)(cid:109)(cid:112)(cid:97)(cid:99)(cid:116)(cid:32)(cid:111)(cid:102)(cid:32)(cid:68)(cid:105)(cid:115)(cid:97)(cid:112)(cid:112)(cid:111)(cid:105)(cid:110)(cid:116)(cid:109)(cid:101)(cid:110)(cid:116)(cid:32)(cid:105)(cid:110)(cid:32)(cid:68)(cid:101)(cid:99)(cid:105)(cid:115)(cid:105)(cid:111)(cid:110)(cid:32)(cid:77)(cid:97)(cid:107)(cid:105)(cid:110)(cid:103)(cid:58)(cid:32)(cid:73)(cid:110)(cid:116)(cid:101)(cid:114)(cid:45)(cid:73)(cid:110)(cid:100)(cid:105)(cid:118)(cid:105)(cid:100)(cid:117)(cid:97)(cid:108) (cid:68)(cid:105)(cid:102)(cid:102)(cid:101)(cid:114)(cid:101)(cid:110)(cid:99)(cid:101)(cid:115)(cid:32)(cid:97)(cid:110)(cid:100)(cid:32)(cid:69)(cid:108)(cid:101)(cid:99)(cid:116)(cid:114)(cid:105)(cid:99)(cid:97)(cid:108)(cid:32)(cid:78)(cid:101)(cid:117)(cid:114)(cid:111)(cid:105)(cid:109)(cid:97)(cid:103)(cid:105)(cid:110)(cid:103) @@ -46761,24 +39722,6 @@ bf39babab5648ff64cc4b79bfec96e8c6c93b812,The Impact of Disappointment in Decisio bf05e710dae791f82cc639a09dbe5ec66fed2008,Generating Video Description using Sequence-to-sequence Model with Temporal Attention,"Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 44–52, Osaka, Japan, December 11-17 2016." bf4ec5068e6ff0b008a09f0c94bfaac290ae7d3b,Co-attention CNNs for Unsupervised Object Co-segmentation,Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18) -bf735bb7557e73bc6f68853cba828b55bd163726,Fusion of Zernike Moments and SIFT Features for Improved Face Recognition,"International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT2012) -Proceedings published in International Journal of Computer Applications® (IJCA) -Fusion of Zernike Moments and SIFT Features for -Improved Face Recognition -Chandan Singh -Professor -Department of Computer -Science, Punjabi University -Patiala, India -Ekta Walia -Asst. Prof., Department of -Computer Science, South -Asian University, New Delhi, -Neerja Mittal -Asst. Prof., Department of -CSE&IT, RBIEBT, Kharar, -Distt. Mohali, India -India" bf96a0f037e7472e4b6cb1dae192a5fedbbbd88a,Visual Listening In: Extracting Brand Image Portrayed on Social Media,"Visual Listening In: Extracting Brand Image Portrayed on Social Media Liu Liu @@ -46891,26 +39834,6 @@ observation[2]. The biometrics systems provide a more accurate and reliable user authentication method. Existing user authentication techniques include:" -44442a26062c20dab7db4a9862349b598efca119,Modelling errors in a biometric re-identification system,"Modeling Errors in a Biometric Re-Identification System -B. DeCann and A. Ross -We consider the problem of “re-identification” where a biometric system answers the question “Has this person been encountered before?” without actually -deducing the person’s identity. Such a system is vital in biometric surveillance applications and applicable to biometric de-duplication. In such a system, identifiers -re created dynamically as and when the system encounters an input probe. Consequently, multiple probes of the same identity may be mistakenly assigned different -identifiers, while probes from different identities may be mistakenly assigned the same identifier. In this work, we describe a re-identification system and develop -terminology as well as mathematical expressions for prediction of matching errors. Further, we demonstrate that the sequential order in which the probes are -encountered by the system has a great impact on its matching performance. Experimental analysis based on unimodal and multimodal face and fingerprint scores -onfirms the validity of the designed error prediction model, as well as demonstrates that traditional metrics for biometric recognition fail to accurately characterize -the error dynamics of a re-identification system. -Introduction: In a classical biometric system [1], the input probe (query) biometric data is compared against the reference samples (templates) residing -in the reference database (gallery). Each sample in the reference database is assigned a label, which acts as an identifier (e.g., user-id, name, etc.) that -relates the reference sample to a specific individual and therefore, the comparison process enables the system to either determine the individual associated -with the input data (referred to as identification or 1:N matching) or verify whether the input biometric data corresponds to a specific person (referred -to as verification or 1:1 matching). Labels are assigned to a reference sample during an enrollment phase, when the biometric data of an individual is -cquired and stored in the reference database. The identifier may be further associated with additional biographic data (e.g., legal name, ID number) to -link the identifier to an identity.1 Thus, the identification and verification problems address the question: “Who is this person?” or “Is this person who -they claim to be?”, respectively. -In this work, we examine a variant of the classical biometric identification system, wherein probe data is input into the system from sensors at -multiple locations. The objective of the system is to deduce: “Has this person been encountered before?”. A biometric system performing such duties" 44e3d382ce8d765f705706d40716cb81575281e8,Automatic Parameter Adaptation for Multi-object Tracking,"Automatic Parameter Adaptation for Multi-Object Tracking Duc Phu CHAU, Monique THONNAT, and Fran¸cois BREMOND @@ -46960,10 +39883,6 @@ Pedestrian Detectors Artur Jord˜ao, Jessica Sena de Souza, William Robson Schwartz Smart Surveillance Interest Group, Computer Science Department Universidade Federal de Minas Gerais, Minas Gerais, Brazil" -44dd150b9020b2253107b4a4af3644f0a51718a3,An Analysis of the Sensitivity of Active Shape Models to Initialization When Applied to Automatic Facial Landmarking,"An Analysis of the Sensitivity of Active Shape -Models to Initialization when Applied to Automatic -Facial Landmarking -Keshav Seshadri, Student Member, IEEE and Marios Savvides, Member, IEEE" 44703dea094eb9558965db9439a07b9a74fd36b5,"Multiculturalism, Colorblindness, and Prejudice: Examining How Diversity Ideologies Impact Intergroup Attitudes","University of Arkansas, Fayetteville Theses and Dissertations 8-2018 @@ -47023,11 +39942,6 @@ Received: 17 November 2008 / Revised: 20 February 2009 / Accepted: 7 July 2009 © Springer-Verlag London Limited 2009" 446dc1413e1cfaee0030dc74a3cee49a47386355,Recent Advances in Zero-shot Recognition,"Recent Advances in Zero-shot Recognition Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, and Shaogang Gong" -4421790b8f6b7d44915e030dfec6ececc0f03c2e,Pedestrian Detection in Infrared Video Images,"Pedestrian Detection in Infrared Video Images -Di Wu 1,2, a *, Wei Liu1,b -Xi’an Institute of Optics and Precision Mechanics of CAS,Xi ’an 710119,China -The University of Chinese Academy of Sciences, Beijing 100049, China -Keywords: pedestrian detection;infrared video images;background subtraction;simple features." 4461a1b70e461ec298d7066ba103deda48d4ba22,Classification via Minimum Incremental Coding Length,"Vol. 2, No. 2, pp. 367–395 (cid:2) 2009 Society for Industrial and Applied Mathematics Classification via Minimum Incremental Coding Length @@ -47141,11 +40055,6 @@ resale or redistribution to servers or lists, or to reuse any opyrighted component of this work in other works must be obtained from the IEEE." 38d56ddcea01ce99902dd75ad162213cbe4eaab7,Sense Beauty by Label Distribution Learning,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17) -38b3cae6ba1b98d6bc6f88d903916dac888cb951,Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification,"Improving Semantic Embedding Consistency by -Metric Learning for Zero-Shot Classification -Maxime Bucher1,2, St´ephane Herbin1, Fr´ed´eric Jurie2 -ONERA - The French Aerospace Lab, Palaiseau, France -Normandie Univ, UNICAEN, ENSICAEN, CNRS" 38a3611138388490c2cd60dfbf795932d5e55a79,2 D pose estimation in the Restaurant of the Future,"D pose estimation in the Restaurant of the Future Frederik (Frank) Evers @@ -47170,32 +40079,6 @@ Supervisor: Mgr. Jan Šochman, Ph.D. Field of study: Open Informatics Subfield: Computer Vision and Image Processing May 2017" -3832a6d6b1f78cdadee6968d51c1c7c2922ab3cd,ISIA at the ImageCLEF 2017 Image Caption Task,"ISIA at the ImageCLEF 2017 Image Caption Task -Sisi Liang, Xiangyang Li, Yongqing Zhu, Xue Li, and Shuqiang Jiang -Key Laboratory of Intelligent Information Processing, -Institute of Computing Technology Chinese Academy of Sciences, -No.6 Kexueyuan South Road Zhongguancun, Haidian District, 100190 Beijing, China -{sisi.liang, xiangyang.li, yongqing.zhu, xue.li," -3885cfd634c025c6e27c4db8211d72f54f864f90,Implications of holistic face processing in autism and schizophrenia,"Implications of holistic face processing in autism and -schizophrenia -Tamara L. Watson* -School of Social Science and Psychology, University of Western Sydney, Sydney, NSW, Australia -REVIEW ARTICLE -published: 05 July 2013 -doi: 10.3389/fpsyg.2013.00414 -People with autism and schizophrenia have been shown to have a local bias in sensory -processing and face recognition difficulties. A global or holistic processing strategy is -known to be important when recognizing faces. Studies investigating face recognition in -these populations are reviewed and show that holistic processing is employed despite -lower overall performance in the tasks used. This implies that holistic processing is -necessary but not sufficient for optimal face recognition and new avenues for research -into face recognition based on network models of autism and schizophrenia are proposed. -Keywords: vision, face recognition, autism, schizophrenia, holistic coding, configurational coding -Edited by: -Rachel A. Robbins, Univeristy of -Western Sydney, Australia -Reviewed by: -Olivia Carter, University of" 382f1ebe6009e580949d5513bc298cb253a1eeda,Interpreting Complex Regression Models,"Interpreting Complex Regression Models Noa Avigdor-Elgrabli∗, Alex Libov†, Michael Viderman∗, Ran Wolff∗ Yahoo Research, Haifa, Israel, @@ -47215,22 +40098,6 @@ Chen Huang, Yining Li, Chen Change Loy, Senior Member, IEEE and Xiaoou Tang, Fel 386a5c06d334d20227e8b2daf5433a2bef385648,Cross and Learn: Cross-Modal Self-Supervision,"Cross and Learn: Cross-Modal Self-Supervision Nawid Sayed1, Biagio Brattoli2, and Bj¨orn Ommer2 Heidelberg University, HCI / IWR, Germany" -38ddeb190590b5758eb03924917a5874dbbd3731,A New Multimodal Database for Performance Evaluation in System Level,"A New Multimodal Database for Performance Evaluation in -System Level -Mi-young Cho1∗, Young-Sook Jeong1, Hyun-suh Kim2, and Howard Kim2 -Electronics and Telecommunications Research Institute, Daejeon, Korea -{mycho, -Color Technology Laboratory, Suwon, Korea -{hyun," -384908bfad5b9e81d605344abcb9e99d8b0f4027,Improving Deep Models of Person Re-identification for Cross-Dataset Usage,"Improving Deep Models of Person Re-identification for -Cross-Dataset Usage -Sergey Rodionov1,2, Alexey Potapov1,3, Hugo Latapie4, Enzo Fenoglio4, -Maxim Peterson2,3 -SingularityNET LLC -Novamente LLC, USA -ITMO University, Kronverkskiy pr. 49, 197101 St. Petersburg, Russia -Chief Technology & Architecture Office, Cisco -{pas.aicv, astroseger, {hlatapie," 3805d47da61527137b6f44b92af3017a2dfe7bd5,Greedy column subset selection for large-scale data sets,"(will be inserted by the editor) Greedy Column Subset Selection for Large-scale Data Sets @@ -47240,10 +40107,6 @@ Received: date / Accepted: date" 380b8df0f340e5bbc3a953c62f9bc573ce073b92,Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph,"Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph Weixin Li, Jungseock Joo, Hang Qi, and Song-Chun Zhu" -3859dd21b6373bb4b237ddcebf4dc8acacb587e0,Multimodal Face Recognition using Hybrid Correlation Filters,"Multimodal Face Recognition using Hybrid Correlation Filters -Electrical Engineering Department, Indian Institute of Technology Roorkee, India -Anamika Dubey, Abhishek Sharma -{ana.iitr," 38a169b6e67ef7768f91fa208c9b5544f6f57f16,Object Bank: An Object-Level Image Representation for High-Level Visual Recognition,"Int J Comput Vis DOI 10.1007/s11263-013-0660-x Object Bank: An Object-Level Image Representation @@ -47251,26 +40114,6 @@ for High-Level Visual Recognition Li-Jia Li · Hao Su · Yongwhan Lim · Li Fei-Fei Received: 2 January 2012 / Accepted: 11 September 2013 © Springer Science+Business Media New York 2013" -38f7f3c72e582e116f6f079ec9ae738894785b96,A New Technique for Face Matching after Plastic Surgery in Forensics,"IJARCCE -ISSN (Online) 2278-1021 -ISSN (Print) 2319 5940 -International Journal of Advanced Research in Computer and Communication Engineering -Vol. 4, Issue 11, November 2015 -A New Technique for Face Matching after -Plastic Surgery in Forensics -Anju Joseph1, Nilu Tressa Thomas2, Neethu C. Sekhar3 -Student, Dept. of CSE, Amal Jyothi College of Engineering, Kanjirappally, India 1,2 -Asst. Professor, Dept. of CSE, Amal Jyothi College of Engineering, Kanjirappally, India 3 -I. INTRODUCTION -Facial recognition is one of the most important task that -forensic examiners execute -their -investigation. This work focuses on analysing the effect of -plastic surgery in face recognition algorithms. It is -imperative for the subsequent facial recognition systems to -e capable of addressing this significant issue and -ccordingly there is a need for more research in this -important area." 38b18585e4bdb78347d44caa561e69a0045ade8d,Differential Attention for Visual Question Answering,"Differential Attention for Visual Question Answering Badri Patro, Vinay P. Namboodiri IIT Kanpur @@ -47335,15 +40178,6 @@ Department of Computer Science, University of California, Irvine" 38f56240c642677f2245aebe94fb846988487570,Mining patterns of orientations and magnitudes for face recognition,"Mining patterns of orientations and magnitudes for face recognition Ngoc-Son Vu, Alice Caplier Gipsa-lab, Grenoble Institute of Technology" -38682c7b19831e5d4f58e9bce9716f9c2c29c4e7,Movie Character Identification Using Graph Matching Algorithm,"International Journal of Computer Trends and Technology (IJCTT) – Volume 18 Number 5 – Dec 2014 -Movie Character Identification Using Graph Matching -Algorithm -Shaik. Kartheek.*1, A.Srinivasa Reddy*2 -M.Tech Scholar, Dept of CSE, QISCET, ONGOLE, Dist: Prakasam, AP, India. -Associate Professor, Department of CSE, QISCET, ONGOLE, Dist: Prakasam, AP, India" -383a58de852715c8544abe60fa64d29fb7ea5688,Inductive Hashing on Manifolds,"Inductive Hashing on Manifolds -Fumin Shen‡(cid:5)∗ Chunhua Shen(cid:5)† Qinfeng Shi(cid:5) Anton van den Hengel(cid:5) Zhenmin Tang‡ -(cid:5) The University of Adelaide, Australia ‡ Nanjing University of Science and Technology, China" 3810b6299140bf2c7d6d0cced765c0777d603923,Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?,"Do Deep Features Generalize from Everyday Objects to Remote Sensing and Aerial Scenes Domains? Ot´avio A. B. Penatti @@ -47419,18 +40253,6 @@ d0e20aa3d61b77d17f005a1d24d7cf47600836ef,Rethinking Atrous Convolution for Seman Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam {lcchen, gpapan, fschroff, Google Inc." -d04631e40b237ae29cb8d2bd187b04033580e63b,Multi-cue Based Multi-target Tracking with Boosted MHT,"Multi-cue Based Multi-target Tracking -with Boosted MHT -Long Ying1,2, Tianzhu Zhang1,2, Shengsheng Qian1,2, and Changsheng Xu1,2 -Institute of Automation, Chinese Academy of Science, Beijing, China -China-Singapore Institute of Digital Media, Singapore" -d014011b24c62d5b689c782c09b89c52970f46e7,"SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation","SRDA: Generating Instance Segmentation -Annotation Via Scanning, Reasoning And -Domain Adaptation -Wenqiang Xu(cid:63), Yonglu Li(cid:63), Cewu Lu -Department of Computer Science and Engineering, -Shanghai Jiaotong University -{vinjohn,yonglu" d0a9bbd3bd9dcb62f9874fc1378a7f1a17f44563,Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier,"Hindawi Computational Intelligence and Neuroscience Volume 2017, Article ID 4263064, 15 pages @@ -47451,22 +40273,6 @@ original work is properly cited. The 𝑘 nearest neighbor is one of the most important and simple procedures for data classification task. The 𝑘NN, as it is called, requires only two parameters: the number of𝑘 and a similarity measure. However, the algorithm has some weaknesses that make it nalysis and all training dataset is necessary. Another weakness is the optimal choice of 𝑘 parameter when the object analyzed" -d04d53038d4267cf25badc5d6acccd2fc910a8a7,Online Multi-Object Tracking with Structural Invariance Constraint,"ZHOU, JIANG, WEI, DONG, WANG: ONLINE MULTI-OBJECT TRACKING WITH SIC -Online Multi-Object Tracking -with Structural Invariance Constraint -Xiao Zhou -Peilin Jiang -Zhao Wei -Hang Dong -Fei Wang -National Engineering -Laboratory for Visual Information -Processing and Application, -XJTU, 99 Yanxiang Road, -Xi’an, Shaanxi 710054, China -School of Software Engineering, -XJTU, 28 West Xianning Road, -Xi’an, Shaanxi 710049, China" d01e65591745fc46a3f69a6c9387be17caf55c16,State-Driven Particle Filter for Multi-person Tracking,"State-Driven Particle Filter for Multi-Person Tracking David Gerónimo1, Frédéric Lerasle2,3, and Antonio M. López1 @@ -47493,13 +40299,6 @@ http://dx.doi.org/10.14257/ijsh.2015.9.1.11 D Reconstruction Xu Yongzhe1 and Byungsoo Lee1 Department of Computer Engineering, University of Incheon, Korea" -d0441970a9f19751e6c047b364f580c30bf9754a,Pose-Aware Person Recognition,"Pose-Aware Person Recognition -Vijay Kumar (cid:63) -Anoop Namboodiri (cid:63) -(cid:63) CVIT, IIIT Hyderabad, India -Manohar Paluri † -Facebook AI Research -C. V. Jawahar (cid:63)" d00787e215bd74d32d80a6c115c4789214da5edb,Faster and Lighter Online Sparse Dictionary Learning Project report,"Faster and Lighter Online Sparse Dictionary Learning Project report @@ -47518,10 +40317,6 @@ Received: 5 January 2018; Accepted: 1 February 2018; Published: 3 February 2018" d0a21f94de312a0ff31657fd103d6b29db823caa,Facial Expression Analysis,"Facial Expression Analysis Fernando De la Torre and Jeffrey F. Cohn" d0de92865a53576af3dd118f4d1fa73be12aee9b,PCANet-II: When PCANet Meets the Second Order Pooling,"PCANet-II:WhenPCANetMeetstheSecondOrderPoolingLeiTian,XiaopengHong" -d08cc366a4a0192a01e9a7495af1eb5d9f9e73ae,A 3-D Audio-Visual Corpus of Affective Communication,"A 3-D Audio-Visual Corpus -of Affective Communication -Gabriele Fanelli, Juergen Gall, Harald Romsdorfer, Member, IEEE, Thibaut Weise, and -Luc Van Gool, Member, IEEE" d07e9b04c1480d65e37e44bec3be95fc3206c17b,Combining classifiers for face recognition,- 130-7803-7965-9/03/$17.00 ©2003 IEEEICME 2003(cid:224) d02f45670fa6eb1fbac7ed7ed3eaa442579c73b2,Covariance Pooling for Facial Expression Recognition,"Covariance Pooling for Facial Expression Recognition Computer Vision Lab, ETH Zurich, Switzerland @@ -47541,14 +40336,6 @@ Damien Muselet1 & Alain Tr´emeau 1 & Christian Wolf2 Univ Lyon, UJM, CNRS, Lab Hubert Curien UMR5516, F-42000 Universite de Lyon, CNRS, France, INSA-Lyon, LIRIS, UMR5205, F-69621" d05825a394f11a391c8815f6b0d394cdb4cfaa95,I2T2I: Learning text to image synthesis with textual data augmentation, -d0b083befa0034bcd4a1349336fb30158157e6d8,A Semantic Distance Based Nearest Neighbor Method for Image Annotation,"A Semantic Distance Based Nearest Neighbor -Method for Image Annotation -Wei Wu and Guanglai Gao -Computer Science Department, Inner Mongolia University, Hohhot, China -Email: {cswuwei, -Jianyun Nie -Department IRO, University of Montreal, Canada -Email:" d02c54192dbd0798b43231efe1159d6b4375ad36,3 D Reconstruction and Face Recognition Using Kernel-Based ICA and Neural Networks,"D Reconstruction and Face Recognition Using Kernel-Based ICA and Neural Networks Cheng-Jian Lin Ya-Tzu Huang @@ -47650,9 +40437,6 @@ A Novel Characterization of the Alternative Hypothesis Using Kernel Discriminant Analysis for LLR-Based Speaker Verification Yi-Hsiang Chao∗+ , Hsin-Min Wang∗ and Ruei-Chuan Chang∗+" -5f19b98e5cd22198d25660d609cbd3f4a69c94e7,Combining Head Pose and Eye Location Information for Gaze Estimation,"Combining Head Pose and Eye Location Information -for Gaze Estimation -Roberto Valenti, Member, IEEE, Nicu Sebe, Member, IEEE, and Theo Gevers, Member, IEEE" 5fac23560b5ba4d45045f1edd837ed4bb6c1f5ca,Optimization of a Face Verification System using Bayesian Screening Techniques.,"OPTIMIZATION OF A FACE VERIFICATION SYSTEM USING BAYESIAN SCREENING TECHNIQUES Raquel Montes Diez, Cristina Conde, Ángel Serrano, Licesio J. Rodríguez-Aragón, Enrique Cabello @@ -47663,21 +40447,6 @@ C/ Tulipán, s/n. Móstoles E-29833, Madrid, Spain {r.montes, cristina.conde, aserranos, ljrodriguez, http://frav.escet.urjc.es/ the 150 most" -5f871838710a6b408cf647aacb3b198983719c31,Locally Linear Regression for Pose-Invariant Face Recognition,"Locally Linear Regression for Pose-Invariant -Face Recognition -Xiujuan Chai, Shiguang Shan, Member, IEEE, Xilin Chen, Member, IEEE, and Wen Gao, Senior Member, IEEE" -5f92de3683b4fee28ad3f431c889e7c8bff604f8,"Performance study of Face Recognition systems using LBP and ICA descriptors with sparse representation-MRLSR and KNN Classifiers , respectively","International Journal of Computer Trends and Technology (IJCTT) – Volume 42 Number 1 – December 2016 -Performance study of Face Recognition -systems using LBP and ICA descriptors -with sparse representation - MRLSR and -KNN Classifiers, respectively -K Sarath1 and G. Sreenivasulu2 -PG scholar, Department of Electronics and Communication Engineering, SVU College of Engineering, -Professor, Department of Electronics and Communication Engineering, SVU College of Engineering, -Tirupathi, India -Tirupathi, India -sparse -representation" 5f3a513351a75f4eb86dd57e1651e33691c62417,Gender Recognition via Face Area Analysis, 5f0f8c9acc3e8eb50ca6e7d9c33cf3d9a8a54985,Structured Inhomogeneous Density Map Learning for Crowd Counting,"Structured Inhomogeneous Density Map Learning for Crowd Counting @@ -47693,12 +40462,6 @@ FASTTEXT.ZIP: COMPRESSING TEXT CLASSIFICATION MODELS Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Herv´e J´egou & Tomas Mikolov Facebook AI Research" -5f32ba9d85234f20203c31d2dca0793908f825a9,NEURAL NETWORK BASED SUPERVISED SELF,"International Journal on Soft Computing (IJSC) Vol.3, No.3, August 2012 -NEURAL NETWORK BASED SUPERVISED SELF -ORGANIZING MAPS FOR FACE RECOGNITION -A.S.Raja1 and V. JosephRaj2 -Research Scholar, Sathyabama University, Jeppiar Nagar, Chennai,Tamil Nadu, India -Professor, Kamaraj College, Thoothukudi, Tamil Nadu, India" 5f5906168235613c81ad2129e2431a0e5ef2b6e4,A Unified Framework for Compositional Fitting of Active Appearance Models,"Noname manuscript No. (will be inserted by the editor) A Unified Framework for Compositional Fitting of @@ -47748,31 +40511,6 @@ Issue Pages" 5fc621cdef59c38ef898a2adc2b4472a8396119a,Elephant Panda Lion Dolphin Dog Monkey ... ... Classes Elephant Dolphin Lion Classifier Training Data Synthesizing,"Synthesizing Samples for Zero-shot Learning IJCAI Anonymous Submission 2625" -5fc371760fd4c8abe94b91ae2ca03d428ac05faa,Fear-Speci fi c Amygdala Function in Children and Adolescents on the Fragile X Spectrum : A Dosage Response of the FMR 1 Gene,"Cerebral Cortex Advance Access published November 11, 2012 -Cerebral Cortex -doi:10.1093/cercor/bhs341 -Fear-Specific Amygdala Function in Children and Adolescents on the Fragile X Spectrum: -A Dosage Response of the FMR1 Gene -So-Yeon Kim1, Jessica Burris1, Frederick Bassal1, Kami Koldewyn5, Sumantra Chattarji6, Flora Tassone2, David Hessl2,3 and -Susan M. Rivera1,2,4 -Center for Mind and Brain, University of California, Davis, CA 95618, USA, 2MIND Institute, University of California, Davis, CA -95817, USA, 3Department of Psychiatry and Behavioral Sciences, University of California, Davis, CA 95817, USA, 4Department of -Psychology, University of California, Davis, CA 95616, USA, 5McGovern Institute for Brain Research, MIT, MA 02139, USA and -6National Center for Biological Sciences, Bangalore 560065, India -Address correspondence to Susan M. Rivera, Center for Mind and Brain, University of California, Davis, 267 Cousteau Place, Davis, CA 95618, -USA. Email: -Mutations of the fragile X mental retardation 1 (FMR1) gene are the -genetic cause of fragile X syndrome (FXS). The presence of signifi- -ant socioemotional problems has been well documented in FXS -lthough the brain basis of those deficits remains unspecified. Here, -we investigated amygdala dysfunction and its relation to socioemo- -tional deficits and FMR1 gene expression in children and adoles- -ents on the FX spectrum (i.e., individuals whose trinucleotide CGG" -5f7a5ba79ad2c4aa7762470a3c7b59001e2f0de0,Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment,"Part-Level Convolutional Neural Networks for -Pedestrian Detection Using Saliency and Boundary -Box Alignment -Inyong Yun, Cheolkon Jung, Member, IEEE, Xinran Wang, Alfred O Hero, Fellow, IEEE, and Joongkyu -Kim, Member, IEEE" 5f96af88dfef2bff4ed8a49ceca909efb701d1d5,Addressing the Dark Side of Vision Research: Storage,"Addressing the Dark Side of Vision Research: Storage Vishakha Gupta-Cledat Intel Labs @@ -47780,16 +40518,6 @@ Luis Remis Intel Labs Christina R. Strong Intel Labs" -5fb5d9389e2a2a4302c81bcfc068a4c8d4efe70c,Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning,"Multiple Facial Attributes Estimation based on -Weighted Heterogeneous Learning -H.Fukui* T.Yamashita* Y.Kato* R.Matsui* -T. Ogata** Y.Yamauchi* H.Fujiyoshi* -*Chubu University -**Abeja Inc. -200, Matuoto-cho, Kasugai, --1-20, Toranomon, Minato-ku, -Aichi, Japan -Tokyo, Japan" 5fc664202208aaf01c9b62da5dfdcd71fdadab29,Automatic Face Recognition from Video,rXiv:1504.05308v1 [cs.CV] 21 Apr 2015 5f58bf2c25826cb6ee927a1461aa72bd623157ff,Tasting Families of Features for Image Classification,"ICCV 2011 Submission #549. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE. Tasting Families of Features for Image Classification @@ -47817,9 +40545,6 @@ UESTC Jian Cheng UESTC haijun" -5f107c92dd1c3f294b53627a5de1c7c46d996994,Complex Eye Movement Pattern Biometrics: The Effects of Environment and Stimulus,"Complex Eye Movement Pattern Biometrics: -The Effects of Environment and Stimulus -Corey D. Holland, Student Member, IEEE and Oleg V. Komogortsev, Member, IEEE" 5fa1724a79a9f7090c54925f6ac52f1697d6b570,The Development of Multimodal Lexical Resources,"Proceedings of the Workshop on Grammar and Lexicon: Interactions and Interfaces, pages 41–47, Osaka, Japan, December 11 2016." 5fa587381a9e4308163b3a5395985f0375c3cf7d,Deep Extreme Cut: From Extreme Points to Object Segmentation,"Deep Extreme Cut: From Extreme Points to Object Segmentation @@ -47830,61 +40555,14 @@ L. Van Gool Figure 1. Example results of DEXTR: The user provides the extreme clicks for an object, and the CNN produces the segmented masks." 5f534bacc658f620a15b5647adecb0ea813286c8,Reliable object detection and segmentation using inpainting,"Reliable Object Detection and Segmentation using Inpainting Ji Hoon Joung, M. S. Ryoo, Sunglok Choi, and Sung-Rak Kim" -5f0b7245bedfc984b327b8e144c3cba9d9b2a807,Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification,"International Journal of Computer Applications (0975 – 8887) -Volume 21– No.3, May 2011 -Morphological Primitive Patterns with Grain Components -on LDP for Child and Adult Age Classification -B.Sujatha -Dr.V.Vijaya Kumar -Associate Professor -G.I.E.T, Rajahmundry -Dean, Dept. of Comp. Sciences -Head, SRRF-G.I.E.T -JNTUK,Kakinada -Andhra Pradesh, India -Rajahmundry -Andhra Pradesh, India -M.Rama Bai -Associate Professor -M.G.I.T, JNTUH -Hyderabad -Andhra Pradesh, India" -5fc15baee1383d502775fab8ee91d56f4875429c,Factorial Discriminant Analysis for 3 D Face Recognition System using SVM Classifier,"International Journal of Computer Applications (0975 – 8887) -International Conference on Information and Communication Technologies (ICICT-2014) -Factorial Discriminant Analysis for -D Face Recognition System using SVM Classifier -P. S. Hiremath -Department of P. G. Studies and Research in -Computer Science, -Gulbarga University, Gulbarga-585106 -Karnataka, India -turned" 5fcde9236d654a0f92a76c1a3f07c0cad954985c,Personality-Dependent Referring Expression Generation,"Personality-dependent Referring Expression Generation Ivandr´e Paraboni, Danielle Sampaio Monteiro, and Alex Gwo Jen Lan University of S˜ao Paulo, School of Arts, Sciences and Humanities, S˜ao Paulo, Brazil" -5ff64afd70434b12e043ff39a91271eab6391124,Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters,"Article -Building Extraction in Very High Resolution -nd Guided Filters -Yongyang Xu 1 ID , Liang Wu 1,2, Zhong Xie 1,2,* and Zhanlong Chen 1 -Department of Information Engineering, China University of Geosciences, Wuhan 430074, China; -(Y.X.); (L.W.); (Z.C.) -National Engineering Research Center of Geographic Information System, Wuhan 430074, China -* Correspondence: -Received: 19 December 2017; Accepted: 16 January 2018; Published: 19 January 2018" 5f5164cf998a10d2bef37741adb562ab07fac413,A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2016.2545669, IEEE Transactions on Pattern Analysis and Machine Intelligence A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs Zifeng Wu, Yongzhen Huang, Liang Wang, Xiaogang Wang, and Tieniu Tan" -5f7ae1e13c00bb58856374b9888f1ddf73c6865e,Gender classification using face image and voice,"IOSR Journal of Computer Engineering (IOSR-JCE) -e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 5, Ver. V (Sep. – Oct. 2015), PP 20-25 -www.iosrjournals.org -Gender classification using face image and voice -Dharamraj yadav1 Shashwat Shukla2 & Bramah Hazela2 -Dept.of Computer Science & Engineering Amity School of Engineering & Technology Amity University, -Lucknow campus, India -Dept.of Computer Science & Engineering Amity School of Engineering & Technology Amity University, -Lucknow campus, India" d904f945c1506e7b51b19c99c632ef13f340ef4c,0 ° 15 ° 30 ° 45 ° 60 ° 75 ° 90 °,"A scalable 3D HOG model for fast object detection and viewpoint estimation Marco Pedersoli Tinne Tuytelaars @@ -48010,16 +40688,6 @@ Department of Electronics & Communication Engineering, MNNIT, Allahabad" d929534024614e3153c986e55d758ea7471d3fff,How Not to Evaluate a Developmental System,"How Not to Evaluate a Developmental System Frederick Shic and Brian Scassellati" d9bc16dcbc13502389704e4a0bdd8ee7af618069,Learning pullback HMM distances for action recognition,Learning pullback HMM distances for action recognition -d950af49c44bc5d9f4a5cc1634e606004790b1e5,Divide and Fuse: A Re-ranking Approach for Person Re-identification,"YU ET AL.: DIVIDE AND FUSE: A RE-RANKING APPROACH FOR PERSON RE-ID -Divide and Fuse: A Re-ranking Approach for -Person Re-identification -Huazhong University of Science and -Technology -Wuhan, China -Rui Yu -Zhichao Zhou -Song Bai -Xiang Bai ∗" d94b37958657aa703d8a3d02a66ee251b4c3f597,Learning deep features from body and parts for person re-identification in camera networks,"Zhang and Si EURASIP Journal on Wireless Communications and Networking (2018) 2018:52 https://doi.org/10.1186/s13638-018-1060-2 @@ -48071,17 +40739,6 @@ Carlos Herranz-Perdiguero1 and Roberto J. L´opez-Sastre1" d97e7799142e2c66b63fe63bc52632fdf305f313,Lanczos Vectors versus Singular Vectors for Effective Dimension Reduction,"Lanczos Vectors versus Singular Vectors for Effective Dimension Reduction Jie Chen and Yousef Saad" -d9327b9621a97244d351b5b93e057f159f24a21e,Laplacian smoothing transform for face recognition,"SCIENCE CHINA -Information Sciences -. RESEARCH PAPERS . -December 2010 Vol. 53 No. 12: 2415–2428 -doi: 10.1007/s11432-010-4099-1 -Laplacian smoothing transform for face recognition -GU SuiCheng, TAN Ying -& HE XinGui -Key Laboratory of Machine Perception (MOE); Department of Machine Intelligence, -School of Electronics Engineering and Computer Science; Peking University, Beijing 100871, China -Received March 16, 2009; accepted April 1, 2010" d914c53cdf26acc64259d381fbd45c4e150633ee,Pedestrian Tracking in the Compressed Domain Using Thermal Images,"Pedestrian Tracking in the Compressed Domain Using Thermal Images Ichraf Lahouli1,2,3, Robby Haelterman1, Zied Chtourou2, Geert De Cubber1, @@ -48117,34 +40774,6 @@ Kariapatti. Kariapatti. Mr.D.Prince Winston Aruppukottai." -d9bfc8095bfa604d90e1cb8c878ab844c2f89464,Kinship through Imaging,"International Journal of Application or Innovation in Engineering & Management (IJAIEM) -Web Site: www.ijaiem.org Email: -ISSN 2319 - 4847 -Volume 03, Issue 09, September 2014 -Kinship through Imaging -Chaitali Deshmukh1, Prof. S.D.Jondhale2 -¹Department of Computer Engineering, PG Student, SVIT, Chincholi, Nashik, University of Pune, India -²Department of Computer Engineering, Professor, SVIT, Chincholi, Nashik , University of Pune, India" -d9df2ed64494f54c0e2529f2c05a16423a57235c,A Novel Approach for Facial Expression Analysis in real time applications using SIFT flow and SVM 1,"Australian Journal of Basic and Applied Sciences, 9(21) Special 2015, Pages: 1-6 -ISSN:1991-8178 -Australian Journal of Basic and Applied Sciences -Journal home page: www.ajbasweb.com -A Novel Approach for Facial Expression Analysis in real time applications using SIFT -flow and SVM -K. Suganya Devi and 2P. Srinivasan -Department of Computer Science and Engineering, University college of Engg Panruti, Panruti 607106, Tamilnadu, India -Department of Physics, University college of Engg Panruti, Panruti 607106, Tamilnadu, India -A R T I C L E I N F O -Article history: -Article Received : 12 January 2015 -Revised: 1 May 2015 -Accepted: 8 May 2015 -Keywords: -Expression recognition, Facial region -selection, Facial expression, Sparse -learning technique, Scale Invariant -Feature Transform flow, SVM -A B S T R A C T" d930ec59b87004fd172721f6684963e00137745f,Face Pose Estimation using a Tree of Boosted Classifiers,"Face Pose Estimation using a Tree of Boosted Classifiers Javier Cruz Mota @@ -48160,17 +40789,6 @@ Fraunhofer IOSB, Karlsruhe, Germany Karlsruhe Institute of Technology KIT, Vision and Fusion Lab, Karlsruhe, Germany Keywords: Instance Segmentation, Multi-Scale Analysis, Foveated Imaging, Cityscapes." -d9318c7259e394b3060b424eb6feca0f71219179,Face Matching and Retrieval Using Soft Biometrics,"Face Matching and Retrieval Using Soft Biometrics -Unsang Park, Member, IEEE, and Anil K. Jain, Fellow, IEEE" -d9ef1a80738bbdd35655c320761f95ee609b8f49,A Research-Face Recognition by Using Near Set Theory,"Volume 5, Issue 4, 2015 ISSN: 2277 128X -International Journal of Advanced Research in -Computer Science and Software Engineering -Research Paper -Available online at: www.ijarcsse.com -A Research - Face Recognition by Using Near Set Theory -Manisha V. Borkar, Bhakti Kurhade -Department of Computer Science and Engineering -Abha Gaikwad -Patil College of Engineering, Nagpur, Maharashtra, India" 9679d15c6699b521740408b2e899c03af89390ac,ARTICULATED BODY TRACKING AND HUMAN ACTION ANALYSIS,"DIMENSIONALITY REDUCTION FOR 3D ARTICULATED BODY TRACKING AND HUMAN ACTION ANALYSIS @@ -48191,10 +40809,6 @@ eISSN 2092-805X Region-Based Facial Expression Recognition in Still Images Gawed M. Nagi*, Rahmita Rahmat*, Fatimah Khalid* and Muhamad Taufik*" -96fc93175169b788acd98f0a676dffab00651cbc,On Matching Faces with Alterations due to Plastic Surgery and Disguise,"On Matching Faces with Alterations due to Plastic Surgery and Disguise -Saksham Suri1, Anush Sankaran2, Mayank Vatsa1, Richa Singh1 -IIIT - Delhi, India 2IBM Research, Bengaluru, India -{saksham15082, mayank," 96dfa2a7630fc6800ba8a546df526b8174f54b5c,Appearance-Based Facial Recognition Using Visible and Thermal Imagery : A Comparative Study ∗,"Appearance-Based Facial Recognition Using Visible and Thermal Imagery: A Comparative Study ∗ Andrea Selinger† @@ -48219,15 +40833,6 @@ Received: 11 November 2011 / Accepted: 11 May 2013 / Published online: 19 June 2 Nisarg Raval, Ashwin Machanavajjhala, and Jerry Pan Olympus: Sensor Privacy through Utility Aware Obfuscation" -9686dcf40e6fdc4152f38bd12b929bcd4f3bbbcc,Emotion Based Music Player,"International Journal of Engineering Research and General Science Volume 3, Issue 1, January-February, 2015 -ISSN 2091-2730 -Emotion Based Music Player -Hafeez Kabani1, Sharik Khan2, Omar Khan3, Shabana Tadvi4 -Department of Computer Science and Engineering -Department of Computer Science and Engineering -Department of Computer Science and Engineering -Asst. Professor, Department of Computer Science and Engineering -M.H Saboo Siddik College of Engineering, University of Mumbai, India" 964e43f4983a42ef3790c265bdce42c1fce56d79,A virtual environment tool for benchmarking face analysis systems,"A Virtual Environment Tool for Benchmarking Face Analysis Systems Mauricio Correa+,*, Javier Ruiz-del-Solar+,*, Rodrigo Verschae* @@ -48291,23 +40896,6 @@ CCS Concepts: •Computing methodologies →Scene understanding; Natural languag Additional Key Words and Phrases: saliency, visual saliency prediction, image captioning, deep learning." 96f0da034d090a3ecadd0fb92333bb681f23ab14,Temporal-Spatial Mapping for Action Recognition,"Temporal-Spatial Mapping for Action Recognition Xiaolin Song, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jingyu Yang, and Xiaoyan Sun" -9630109529870d142fde01341da05967484e906c,Techniques of Facial Synthesis : A Comprehensive Literature Review,"International Journal of Computer Applications (0975 – 8887) -Volume 61– No.10, January 2013 -Techniques of Facial Synthesis: A -Comprehensive Literature Review -Deepti Chandra -Shri Shankaracharya College -of Engg. & Technology, Bhilai, -Chhattisgarh, India -Sanjeev Karmakar -Bhilai Institute of Technology (BIT) -Chhattisgarh, Durg 491001, India -Rajendra Hegadi -Pragati College of Engg. & -Management -Raipur,Chhattisgarh, India -realism --the synthesized" 96788880589a514c3ae9de29695c0127d6e76b8f,Attention-Based Multimodal Fusion for Video Description,"Attention-Based Multimodal Fusion for Video Description Chiori Hori Takaaki Hori @@ -48337,29 +40925,6 @@ detection algorithm identifies potential scenes containing visitors. Using a neural-network-based face detector,1 Argus extracts faces from these images. A memory-based face recognition system2 examines these faces and at-" -96723b42451c42ec396381596490143aac8f85cd,A Computer Vision Approach for the Eye Accessing Cue Model Used in Neuro-linguistic Programming,"U.P.B. Sci. Bull., Series C, Vol. 75, Iss. 4, 2013 ISSN 2286 – 3540 -A COMPUTER VISION APPROACH FOR THE EYE -ACCESSING CUE MODEL USED IN NEURO-LINGUISTIC -PROGRAMMING -Ruxandra VRÂNCEANU1, Laura FLOREA2, Corneliu FLOREA3 -This paper investigates the Eye Accessing Cue (EAC) model used in Neuro- -Linguistic Programming (NLP) and shows how image processing techniques can be -used to improve the interpretation of this model. An experiment was carried out to -validate the model by inducing certain eye cues using a set of questions. A simple -nd efficient method is proposed for automatically locating the eyes and the -orrespondent EAC. The relative position between the iris and the sclera is -determined using a fast mechanism, based on the analysis of integral projections -inside the bounding box of the eye. -Keywords: Neuro-Linguistic Programming, Eye Detection, Eye Gaze -. Introduction -The progress made in image processing and the increase of computational -apabilities of machines over the past decades has led to new opportunities for -human-computer interactions and to the development of systems capable of -utomatically interpreting the facial attributes of a person. Such algorithms are -used in the field of people identification and description, in applications that" -96d6e0bf752c42ede0170e9b332ca390ac75cd1f,Temporal Hierarchical Dictionary with HMM for Fast Gesture Recognition,"018 24th International Conference on Pattern Recognition (ICPR) -Beijing, China, August 20-24, 2018 -978-1-5386-3787-6/18/$31.00 ©2018 European Union" 9606b1c88b891d433927b1f841dce44b8d3af066,Principal Component Analysis with Tensor Train Subspace,"Principal Component Analysis with Tensor Train Subspace Wenqi Wang, Vaneet Aggarwal, and Shuchin Aeron" @@ -48389,10 +40954,6 @@ Misalignment Liansheng Zhuang · Tsung-Han Chan · Allen Y. Yang · S. Shankar Sastry · Yi Ma Received: date / Accepted: date" -9603b3a4649fd217752972909d627bde8e0a5023,Spectral Hashing With Semantically Consistent Graph for Image Indexing,"Spectral Hashing With Semantically -Consistent Graph for Image Indexing -Peng Li, Meng Wang, Member, IEEE, Jian Cheng, Member, IEEE, Changsheng Xu, Senior Member, IEEE, and -Hanqing Lu, Senior Member, IEEE" a726858df7c9503116504206577a938df1a67815,Unsupervised Vehicle Re-Identification using Triplet Networks,"Unsupervised Vehicle Re-Identification using Triplet Networks Pedro Antonio Mar´ın-Reyes Andrea Palazzi @@ -48408,33 +40969,6 @@ University of Las Palmas de Gran Canaria University of Modena and Reggio Emilia" a7eee3222623778294461102d0dc770d4e09a7c5,A novel fusion-based method for expression-invariant gender classification,"978-1-4244-2354-5/09/$25.00 ©2009 IEEE ICASSP 2009" -a758b744a6d6962f1ddce6f0d04292a0b5cf8e07,"Study on Human Face Recognition under Invariant Pose , Illumination and Expression using LBP , LoG and SVM","ISSN XXXX XXXX © 2017 IJESC -Research Article Volume 7 Issue No.4 -Study on Human Face Recognition under Invariant Pose, Illumination -nd Expression using LBP, LoG and SVM -Amrutha -Depart ment of Co mputer Science & Engineering -Mangalore Institute of Technology & Engineering , Moodabidri, Mangalore, India -INTRODUCTION -RELATED WORK -Abstrac t: -Face recognition system uses human face for the identification of the user. Face recognition is a difficu lt task there is no unique -method that provide accurate an accurate and effic ient solution in all the situations like the face image with differen t pose , -illu mination and exp ression. Local Binary Pattern (LBP) and Laplac ian of Gaussian (Lo G) operators. Support Vector Machine -lassifier is used to recognize the human face. The Lo G algorith m is used to preprocess the image to detect the edges of the face -image to get the image information. The LBP operator divides the face image into several blocks to generate the features informat ion -on pixe l level by creating LBP labels for all the blocks of image is obtained by concatenating all the individual local histo grams. -Support Vector Machine classifier (SVM ) is used to classify t he image. The a lgorith m performances is verified under the constraints -like illu mination, e xp ression and pose variation -Ke ywor ds: Face Recognition, Local Binary Pattern, Laplac ian of Gaussian, histogram, illu mination, pose angle, exp ression -variations, SVM ." -a7790555c65be0fc5b5de9bcb1dc550f4919ce3f,Literature Survey for Face Detection under Illumination Variation,"International Journal of Scientific Research Engineering & Technology (IJSRET) -Volume 2 Issue 10 pp 659-664 January 2014 -www.ijsret.org ISSN 2278 – 0882 -Literature Survey for Face Detection under Illumination Variation -J.SHYNU, P.KANNAN -PG Scholar Department of ECE, PET Engineering College, India -Professor Department of ECE, PET Engineering College, India" a71106ef95103276fac010c10291f6dd6fd9d9f5,Social status level and dimension interactively influence person evaluations indexed by P300s.,"ISSN: 1747-0919 (Print) 1747-0927 (Online) Journal homepage: http://www.tandfonline.com/loi/psns20 Social status level and dimension interactively influence person evaluations indexed by P300s @@ -48471,15 +41005,6 @@ Sandra Ebert Dipl.-Inform. orn in Leipzig, Germany Saarbrücken, 2012" -a775da3e6e6ea64bffab7f9baf665528644c7ed3,Human Face Pose Estimation based on Feature Extraction Points,"International Journal of Computer Applications (0975 – 8887) -Volume 142 – No.9, May 2016 -Human Face Pose Estimation based on Feature -Extraction Points -Guneet Bhullar -Research scholar, -Department of ECE -SBSSTC, Moga Road, -Ferozepur, Punjab, India" a7e8ce268c16ea8c10e4c5ccd8d6e53702423faa,The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment,"The Ciona17 Dataset for Semantic Segmentation of Invasive Species in a Marine Aquaculture Environment Angus Galloway∗, Graham W. Taylor∗, Aaron Ramsay†, Medhat Moussa∗ @@ -48493,15 +41018,6 @@ Montague, PEI, Canada" a7066c13ba21817abcf8ff955740493adf95b02c,Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks,"Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks Stefan Milz 1 * Martin Simon 1 * Kai Fischer 1 * Maximillian Poepperl 1" -a703d51c200724517f099ee10885286ddbd8b587,Fuzzy neural networks(FNN)-based approach for personalized facial expression recognition with novel feature selection method,"Fuzzy Neural Networks(FNN)-based Approach for -Personalized Facial Expression Recognition with -Novel Feature Selection Method -Dae-Jin Kim and Zeungnam Bien -Div. of EE, Dept. of EECS, KAIST -73-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea -Kwang-Hyun Park -Human-friendly Welfare Robotic System Engineering Research Center, KAIST -73-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea" a7e78f80e0e37d0c17bc09058c27996e32e4454e,UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones,"Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), pages 977–984 New Orleans, Louisiana, June 5–6, 2018. ©2018 Association for Computational Linguistics" a76d471a409904c084746a56334453450f1c6c1a,Study of the Changing Trends in Facial Expression Recognition,"Study of the Changing Trends in Facial Expression Recognition @@ -48514,12 +41030,6 @@ Authors: Dr. S. Ravi Mahima S 10.5120/2509-3397" -a77e9f0bd205a7733431a6d1028f09f57f9f73b0,Multimodal feature fusion for CNN-based gait recognition: an empirical comparison,"Multimodal feature fusion for CNN-based gait recognition: an -empirical comparison -F.M. Castroa,, M.J. Mar´ın-Jim´enezb, N. Guila, N. P´erez de la Blancac -Department of Computer Architecture, University of Malaga, Spain, 29071 -Department of Computing and Numerical Analysis, University of Cordoba, Spain, 14071 -Department of Computer Science and Artificial Intelligence, University of Granada, Spain, 18071" a73a16203b644353a287a4759bc951450e67d700,BodyNet: Volumetric Inference of 3D Human Body Shapes,"BodyNet: Volumetric Inference of D Human Body Shapes G¨ul Varol1,* @@ -48557,9 +41067,6 @@ ontribution has been peer-reviewed. The double-blind peer-review was conducted o a7bfb6426359140a0bc0c84741ad9a3ac83eff04,Object-Level Context Modeling For Scene Classification with Context-CNN,"Object-Level Context Modeling For Scene Classification with Context-CNN Syed Ashar Javed1 and Anil Kumar Nelakanti2 IIIT Hyderabad, 2Amazon" -a7fe834a0af614ce6b50dc093132b031dd9a856b,Orientation Driven Bag of Appearances for Person Re-identification,"Orientation Driven Bag of Appearances for Person -Re-identification -Liqian Ma, Hong Liu†, Member, IEEE, Liang Hu, Can Wang, Qianru Sun" a75db530b5a905c87aba6b65676809b35f9614f5,Dynamic Eye Gaze Tracking for Foveated Rendering and Retinal Blur,"Dynamic Eye Gaze Tracking for Foveated Rendering and Retinal Blur Kushagr Gupta, Suleman Kazi, Terry Kong" a73bc57fb0aa429ba5f7f12b6d02e2c6274cabdd,A Superior Tracking Approach: Building a Strong Tracker through Fusion,"A Superior Tracking Approach: @@ -48583,10 +41090,6 @@ PortSaid University Mansoura University Zagazig University" a7664247a37a89c74d0e1a1606a99119cffc41d4,Modal Consistency based Pre-Trained Multi-Model Reuse,Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17) -a77e0db38ed7ad95a3bca95fea72048985c54508,DART: Distribution Aware Retinal Transform for Event-based Cameras,"SUBMITTED TO IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE -DART: Distribution Aware Retinal Transform for -Event-based Cameras -Bharath Ramesh*, Hong Yang, Garrick Orchard, Ngoc Anh Le Thi, and Cheng Xiang, Member, IEEE" a70fa8af52e4cc32dae09e6e753f1dd3ec198327,Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer,"Neural Task Representations as Weak Supervision for Model Agnostic Cross-Lingual Transfer Sujay Kumar Jauhar @@ -48809,13 +41312,6 @@ output after calibration using our network. As shown, using the mis-calibrated p of the world results in an incoherent reconstruction. Notice how the 3D structures highlighted in (c) using red rectangles fail to project to their 2D counterparts. However, using the extrinsic calibration parameters predicted by CalibNet produces more consistent and accurate reconstructions (d), even for large initial mis-calibrations." -5af5802cc6128bafbde1ae12e0ab41612aee9e3b,An object tracking method using extreme learning machine with online learning,"An Object Tracking Method Using Extreme -Learning Machine with Online Learning -Yuanlong Yu, Liyan Xie, and Zhiyong Huang -College of Mathematics and Computer Science -Fuzhou University -Fuzhou, Fujian, 350116, China -Emails: hzy" 5a93f9084e59cb9730a498ff602a8c8703e5d8a5,Face Recognition using Local Quantized Patterns,"HUSSAIN ET. AL: FACE RECOGNITION USING LOCAL QUANTIZED PATTERNS Face Recognition using Local Quantized Patterns @@ -48885,10 +41381,6 @@ Wenguan Wang, and Jianbing Shen, Senior Member, IEEE, and Ling Shao, Senior Memb 5acfacbe8bf93ab1ee17bd6f65667abe0d6e1b5e,Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach,"Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach Zuxin Liu1 , Mansur Arief2 and Ding Zhao2,∗" -5a7520380d9960ff3b4f5f0fe526a00f63791e99,The Indian Spontaneous Expression Database for Emotion Recognition,"The Indian Spontaneous Expression -Database for Emotion Recognition -S L Happy, Student Member, IEEE, Priyadarshi Patnaik, Aurobinda Routray, Member, IEEE, -nd Rajlakshmi Guha" 5ab9f00a707a55f4955b378981ad425aa1cb8ea3,Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. XX, NO. YY, NOVEMBER 2018 Forecasting People Trajectories and Head Poses y Jointly Reasoning on Tracklets and Vislets @@ -48923,9 +41415,6 @@ Parisutham Institute of Technology & Science Thanjavur. Affiliated to Anna university, Chennai recognition can be used" -5a34a9bb264a2594c02b5f46b038aa1ec3389072,Label-Embedding for Image Classification,"Label-Embedding for Image Classification -Zeynep Akata, Member, IEEE, Florent Perronnin, Member, IEEE, Zaid Harchaoui, Member, IEEE, -nd Cordelia Schmid, Fellow, IEEE" 185360fe1d024a3313042805ee201a75eac50131,Person De-Identification in Videos,"Person De-Identification in Videos Prachi Agrawal and P. J. Narayanan" 182df40034d937c74df0edb0acb295088e63f1ed,University of Michigan North Campus long-term vision and lidar dataset,"University of Michigan North Campus @@ -49042,9 +41531,6 @@ left or right, i.e., I(cid:48) l and r are multiples of I(cid:48) I(cid:48)" -1886b6d9c303135c5fbdc33e5f401e7fc4da6da4,Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs,"Knowledge Guided Disambiguation for Large-Scale -Scene Classification with Multi-Resolution CNNs -Limin Wang, Sheng Guo, Weilin Huang, Member, IEEE, Yuanjun Xiong, and Yu Qiao, Senior Member, IEEE" 1819d9a9099dafc987dd236c2174945e7922be13,Eigenfeature Regularization and Extraction in Face Recognition,"Eigenfeature Regularization and Extraction in Face Recognition Xudong Jiang, Senior Member, IEEE, Bappaditya Mandal, and Alex Kot, Fellow, IEEE" @@ -49097,10 +41583,6 @@ MIT Media Lab 75 Amherst St. Cambridge, MA 02139 Timnit Gebru Microsoft Research 641 Avenue of the Americas, New York, NY 10011 Editors: Sorelle A. Friedler and Christo Wilson" -18c4a0e82fdddda2530b7281ad567abc0373a89f,Principal Coefficients Embedding: Theory and Algorithm,"IEEE TRANSACTIONS ON CYBERNETICS -Automatic Subspace Learning via Principal -Coefficients Embedding -Xi Peng, Jiwen Lu, Senior Member, IEEE, Zhang Yi, Fellow, IEEE and Rui Yan, Member, IEEE," 18d7684c6b96caf51adb519738720eceb1b13050,Hidden Relationships: Bayesian Estimation With Partial Knowledge,"Hidden Relationships: Bayesian Estimation with Partial Knowledge Tomer Michaeli and Yonina C. Eldar, Senior Member, IEEE @@ -49132,9 +41614,6 @@ Dept. of Computer Science Autonomous University of Barcelona 08193 Bellaterra, Barcelona, Spain {dvazquez, jiaolong, sramosp, antonio," -18727c3f4ada0cec9e5914340cc672d0554d7784,"3-D Face Detection, Landmark Localization, and Registration Using a Point Distribution Model","D face detection, landmark localization and -registration using a Point Distribution Model -Prathap Nair*, Student Member, IEEE, and Andrea Cavallaro, Member, IEEE" 1806665f9571bbdcf654f3bdf5e009bcb8eac799,Markov random field terrain classification for autonomous robots in unstructured terrain,"Fachbereich 4: Informatik Arbeitsgruppe Aktives Sehen @@ -49185,12 +41664,6 @@ Croatian Telecom, Savska 32, Zagreb, Croatia, e-mail: University of Zagreb, FER, Unska 3/XII, Zagreb, Croatia implementations in all possible algorithm" -18233c55982050292ba7f6a5462c0e7576c3398d,Face Recognition using Eye Distance and PCA Approaches,"Face Recognition using Eye Distance and PCA -Approaches -Ripal Patel , Nidhi Rathod , Ami Shah , Mayur Sevak -Electronics & Telecommunication Department, -BVM Engineering College. -Vallabh Vidyanagar-388120, Gujarat, India" 1885acea0d24e7b953485f78ec57b2f04e946eaf,Combining Local and Global Features for 3D Face Tracking,"Combining Local and Global Features for 3D Face Tracking Pengfei Xiong, Guoqing Li, Yuhang Sun Megvii (face++) Research @@ -49207,19 +41680,6 @@ ISPGroup, ELEN Department, ICTEAM Institute Universit´e catholique de Louvain Louvain-la-Neuve, B-1348, Belgium {amit.kc," -18a4399b8afb460cbd4de2225f39ed23a95336d6,HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 -HMS-Net: Hierarchical Multi-scale -Sparsity-invariant Network for Sparse Depth -Completion -Zixuan Huang, Junming Fan, Shuai Yi, Xiaogang Wang, Senior Member, IEEE, -Hongsheng Li, Member, IEEE" -18cd79f3c93b74d856bff6da92bfc87be1109f80,An Application to Human Face Photo-sketch Synthesis and Recognition,"International Journal of Advances in Engineering & Technology, May 2012. -©IJAET ISSN: 2231-1963 -AN APPLICATION TO HUMAN FACE PHOTO-SKETCH -SYNTHESIS AND RECOGNITION -Amit R. Sharma and 2Prakash. R. Devale -Student and 2Professor & Head, -Department of Information Tech., Bharti Vidyapeeth Deemed University, Pune, India" 189fa973bc09cf3f3416e875fc853c3c489edeb0,Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks,"Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, @@ -49240,21 +41700,6 @@ Eva Cerezo • Isabelle Hupont • Sandra Baldassarri • Sergio Ballano Received: 3 February 2011 / Accepted: 24 September 2011 / Published online: 30 October 2011 Ó Springer-Verlag 2011" -18c72175ddbb7d5956d180b65a96005c100f6014,From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 23, NO. 6, -JUNE 2001 -From Few to Many: Illumination Cone -Models for Face Recognition under -Variable Lighting and Pose -Athinodoros S. Georghiades, Student Member, IEEE, Peter N. Belhumeur, Member, IEEE, and -David J. Kriegman, Senior Member, IEEE" -18aae0f20fdc6aab093c72c81005247d2cbc8512,Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination,"Bayesian CP Factorization of Incomplete -Tensors with Automatic Rank Determination -Qibin Zhao, Member, IEEE, Liqing Zhang, Member, IEEE, and Andrzej Cichocki Fellow, IEEE" -18001ed8ce46cf9df5574b1e360550ed9401cd76,Sentic blending: Scalable multimodal fusion for the continuous interpretation of semantics and sentics,"Sentic Blending: -Scalable Multimodal Fusion for the Continuous -Interpretation of Semantics and Sentics -Erik Cambria, Member, IEEE, Newton Howard, Member, IEEE, -Jane Hsu, Member, IEEE, and Amir Hussain, Senior Member, IEEE" 18a849b1f336e3c3b7c0ee311c9ccde582d7214f,"Efficiently Scaling Up Crowdsourced Video Annotation A Set of Best Practices for High Quality , Economical Video Labeling","Int J Comput Vis DOI 10.1007/s11263-012-0564-1 Efficiently Scaling up Crowdsourced Video Annotation @@ -49268,20 +41713,6 @@ Edouard Oyallon,1,4,5 Eugene Belilovsky,2 Sergey Zagoruyko,3 Michal Valko4 CentraleSupelec, Universit´e Paris-Saclay MILA, University of Montreal WILLOW – Inria Paris, 4SequeL – Inria Lille, 5GALEN – Inria Saclay" -189355bff03076cc5bddaa11239626051931144d,Learning Representations for Automatic Colorization,"Learning Representations for Automatic Colorization -Gustav Larsson1, Michael Maire2, and Gregory Shakhnarovich2 -University of Chicago -Toyota Technological Institute at Chicago" -18d4210a5bb56e92045ef0637208685abaaca6a5,GIANT: geo-informative attributes for location recognition and exploration,"GIANT: Geo-Informative Attributes for -locatioN recogniTion and exploration -National Lab of Pattern Recognition, Institute of Automation, CAS, Beijing 100190, China -China-Singapore Institute of Digital Media, Singapore, 139951, Singapore -Quan Fang1,2, Jitao Sang1,2, Changsheng Xu1,2 -{qfang, jtsang," -183ad3409a53914247affc599b33af38d94937be,A Latent-Variable Lattice Model,"An Inertial Latent-Variable Sequence Model -Rajasekaran Masatran -Indian Institute of Technology Madras, Chennai, TN, India -MASATRAN AT FREESHELL.ORG" 85188c77f3b2de3a45f7d4f709b6ea79e36bd0d9,"Combined model for detecting , localizing , interpreting and recognizing faces","Author manuscript, published in ""Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille : France (2008)""" 85387549277d6131dc8596ffacc7a21aeee0c6d1,Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks,"Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial @@ -49330,14 +41761,6 @@ Robots F. Gaisser BioMechanical Enginering" 856b8576999517c0cb7d95aef0159432604a8447,The 19 th Meeting on Image Recognition and Understanding Weighted Heterogeneous Learning for Deep Convolutional Neural Network Based Facial Image Analysis,The 19th Meeting on Image Recognition and Understanding -8599560c50a55e75928dba6bbcbb98ef180a0798,Vocabulary Length Experiments for Binary Image Classification Using BOV Approach,"Signal & Image Processing : An International Journal (SIPIJ) Vol.4, No.6, December 2013 -VOCABULARY LENGTH EXPERIMENTS FOR BINARY -IMAGE CLASSIFICATION USING BOV APPROACH -S.P.Vimal1, Eshaan Puri2 and P.K.Thiruvikiraman3 -,2Department of Computer Science and Information Systems -Birla Institute of Technology and Science, Pilani, Rajasthan, India -Department of Physics, Birla Institute of Technology and Science, -Hyderabad Campus, Andra Pradesh, India" 8558ea46c8f7e56c57073b27408c6638e81293f0,Morphable crowds, 85955fe6cdf4f9f35fc9eab6cc4fccbb819e68a1,3D Face Reconstruction by Learning from Synthetic Data,"D Face Reconstruction by Learning from Synthetic Data Elad Richardson* @@ -49348,14 +41771,6 @@ Department of Computer Science, Technion - Israel Institute of Technology" Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice Amir Rasouli and John K. Tsotsos" -8582d5307793643e5b6a5e4354ee1ba32eff3809,Techniques for Face Detection & Recognition Systema Comprehensive Review,"IOSR Journal of Computer Engineering (IOSR-JCE) -e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 15, Issue 5 (Nov. - Dec. 2013), PP 01-12 -www.iosrjournals.org -Techniques for Face Detection & Recognition System- -Comprehensive Review -Vandana S.Bhat1, Dr. J. D. Pujari2 -Department of Information Science & Engineering, SDMCET, Dharwad, INDIA -Department of Information Science & Engineering, SDMCET, Dharwad, INDIA" 85fd2bda5eb3afe68a5a78c30297064aec1361f6,"Are You Smiling, or Have I Seen You Before? Familiarity Makes Faces Look Happier.","702003 PSSXXX10.1177/0956797617702003Carr et al.Are You Smiling, or Have I Seen You Before? research-article2017 Research Article @@ -49386,30 +41801,9 @@ CNRS, UMR5516, Laboratoire Hubert Curien, F-42000, Saint-Etienne, France, Université de Saint-Etienne, Jean Mon- net, F-42000, Saint-Etienne, France." -851f3dcfde59313dc2c8b87314f5a191d82194f4,Multiview Graphical Models for Tracking Occluded Objects,"Volume 3, Issue 10, October 2013 ISSN: 2277 128X -International Journal of Advanced Research in -Computer Science and Software Engineering -Research Paper -Available online at: www.ijarcsse.com -Multiview Graphical Models for Tracking Occluded Objects -Bharath -Student, -Dept.of CSE, -Jntuk, Kakinada, India -Smt. D.Neelima -Asst.Professor, -Dept.of CSE, -Jntuk, Kakinada, India" 858901405086056361f8f1839c2f3d65fc86a748,ON TENSOR TUCKER DECOMPOSITION : THE CASE FOR AN ADJUSTABLE CORE SIZE,"ON TENSOR TUCKER DECOMPOSITION: THE CASE FOR AN ADJUSTABLE CORE SIZE BILIAN CHEN ∗, ZHENING LI † , AND SHUZHONG ZHANG ‡" -85d9cc478a6ef976ae83c8817d7d35e94b4dcf9d,Big Data Processing With Application to Image Super-Resolution,"Big Data Processing With Application to Image Super-Resolution -Xiangjun Meng & Baiqing Diao -State Grid Shandong Electric Power Company, Jinan, China -Lipeng Zhu -China Electric Power Research Institute, Nanjing, China -Guangwei Gao & Song Deng -Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China" 858ddff549ae0a3094c747fb1f26aa72821374ec,"Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications","Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications @@ -49445,12 +41839,6 @@ Kamel Saidi Will Shackleford This publication is available free of charge from: http://dx.doi.org/10.6028/NIST.IR.8045" -8569fc88a3d1ac8b873872becb2ee8bc01dc73bc,Deep-Person: Learning Discriminative Deep Features for Person Re-Identification,"Deep-Person: Learning Discriminative Deep Features -for Person Re-Identification -Xiang Bai, Mingkun Yang, Tengteng Huang, -Zhiyong Dou, Rui Yu, Yongchao Xu∗ -School of Electronic Information and Communications, Huazhong University of Science and -Technology (HUST), Wuhan, 430074, China" 8566231abd7e5bc71ee0bc0da84b8d76ce07a501,On The Stability of Video Detection and Tracking,"On The Stability of Video Detection and Tracking Hong Zhang Chinese University of Hong Kong @@ -49460,26 +41848,6 @@ TuSimple LLC" George D. C. Cavalcanti1s2 and Edson C. B. Cawalho Filho’ ’ UFPE-Universidade Federal de Pemambuco, 50732-970, Recife, PE, Brad FIR-Faculdade Integrada do Recife 50720-635 Recife, PE, Brad" -858555b6f4663fe083d6c81a2671c9cd8130bbf3,Object Discovery via Cohesion Measurement,"Object Discovery via Cohesion Measurement -Guanjun Guo, Hanzi Wang*, Senior Member, IEEE, Wan-Lei Zhao, -Yan Yan, Member, IEEE, Xuelong Li, Fellow, IEEE" -853d6cfe9c08c971979d1dd138bb21c25ff750bf,Comparison of MultiView Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation,"International Journal of Computer Applications (0975 – 8887) -Volume 96– No.4, June 20143 -Comparison of Multi-View Face Recognition using DCT -nd Hybrid DWT of Score Fusion under Uncontrolled -Illumination Variation -Manisha J Kasar -M.Tech Student (CE) -Computer Department, MPSTME -NMIMS, Shirpur, Dist :Dhule, Maharashtra, -India -Nitin S.Choubey -P.hd (Computer) -Computer Department, MPSTME -NMIMS, Shirpur, Dist :Dhule, Maharashtra, -India -is one of -for matching. First," 8575adafc04a7915bd71c3733e379577da0c4406,Sistema tutor afectivo para la enseñanza de lógica algorítmica y programación,"Sistema tutor afectivo para la enseñanza de lógica lgorítmica y programación Ramón Zatarain-Cabada1, María Lucia Barrón-Estrada1, @@ -49505,10 +41873,6 @@ PA-GAN: IMPROVING GAN TRAINING BY PROGRESSIVE AUGMENTATION Anonymous authors Paper under double-blind review" -854dbb4a0048007a49df84e3f56124d387588d99,Spatial-Temporal Recurrent Neural Network for Emotion Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. 13, NO. 9, SEPTEMBER 2014 -Spatial-Temporal Recurrent Neural Network for -Emotion Recognition -Tong Zhang, Wenming Zheng*, Member, IEEE, Zhen Cui*, Yuan Zong and Yang Li" 85401b669a989da15bb3d2b37d4598c21d9d061b,"The effect of intranasal oxytocin versus placebo treatment on the autonomic responses to human sounds in autism: a single-blind, randomized, placebo-controlled, crossover design study","Lin et al. Molecular Autism 2014, 5:20 http://www.molecularautism.com/content/5/1/20 Open Access @@ -49642,21 +42006,12 @@ Google Brain Toronto" 35308a3fd49d4f33bdbd35fefee39e39fe6b30b7,Efficient and effective human action recognition in video through motion boundary description with a compact set of trajectories,"biblio.ugent.be The UGent Institutional Repository is the electronic archiving and dissemination platform for allUGent research publications. Ghent University has implemented a mandate stipulating that allacademic publications of UGent researchers should be deposited and archived in this repository.Except for items where current copyright restrictions apply, these papers are available in OpenAccess. This item is the archived peer-reviewed author-version of: Efficient and effective human action recognition in video through motion boundary description witha compact set of trajectories Jeong-Jik Seo, Jisoo Son, Hyung-Il Kim, Wesley De Neve, and Yong Man Ro In: 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition,1, 1-6, 2015. To refer to or to cite this work, please use the citation to the published version: Seo, J., Son, J., Kim, H., De Neve, W., and Ro, Y. M. (2015). Efficient and effective human actionrecognition in video through motion boundary description with a compact set of trajectories. 11thIEEE International Conference and Workshops on Automatic Face and Gesture Recognition 1 1-6.http://dx.doi.org/10.1109/FG.2015.7163123" 35800a537017803dd08274710388734db66b54f0,Sliced Wasserstein Generative Models,"Sliced Wasserstein Generative Models Jiqing Wu * 1 Zhiwu Huang * 1 Wen Li 1 Janine Thoma 1 Luc Van Gool 1 2" -3514140d9c2e692abed0aebe0531f78c250f5806,Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering,"Discriminative Transformation Learning for Fuzzy -Sparse Subspace Clustering -Zaidao Wen, Biao Hou, Member, IEEE, Qian Wu and Licheng Jiao, Senior Member, IEEE" 3596c23a0f13c36d2c71c4cba4351363954dd02a,PathFinder : An autonomous mobile robot guided by Computer Vision,"PathFinder: An autonomous mobile robot guided by Computer Vision Andre R. de Geus1,2, Marcelo H. Stoppa1, Sergio F. da Silva1,2 Modeling and Optimization Program, Federal University of Goias, Catalao, Goias, Brazil Biotechnology Institute, Federal University of Goias, Catalao, Goias, Brazil Email:" -3575d74eb548c3187ec5b0d27383ac966b9d7110,Feature Extraction and Face Recognition through Neural Network,"International Journal of Advanced Computer Technology (IJACT) -ISSN:2319-7900 -Feature Extraction and Face Recognition through Neural -Network -Sanjay Kumar Dekate,Research scholar, Dr. C. V. Raman University, Bilaspur, India -Dr. Anupam Shukla,Professor, ABV-IIITM, Gwalior, India" 357df3ee0f0c30d5c8abc5a1bdf70122322d6fbd,O BJECT DETECTORS EMERGE IN D EEP S CENE CNN S,"Under review as a conference paper at ICLR 2015 OBJECT DETECTORS EMERGE IN DEEP SCENE CNNS Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba @@ -49691,10 +42046,6 @@ Zoe Bichler3 Bioinformatics Institute, A*STAR, Singapore Institute of Molecular and Cell Biology, A*STAR, Singapore National Neuroscience Institute, Singapore" -35c0220ab8a8281129a00ac32ef2f488fb562eb7,Part Annotations via Pairwise Correspondence,"Part Annotations via Pairwise Correspondence -Subhransu Maji Gregory Shakhnarovich -{smaji, -Toyota Technological Institute at Chicago, Chicago, IL" 35035f79256a3f19a111fff34df6d14876d83fab,Satyam: Democratizing Groundtruth for Machine Vision,"SATYAM: DEMOCRATIZING GROUNDTRUTH FOR MACHINE VISION Hang Qiu?, Krishna Chintalapudi†, Ramesh Govindan?" 35794480e556b946c82d498ce868fa62235befa7,Real-Time Detection and Tracking of Multiple Humans from High Bird's-Eye Views in the Visual and Infrared Spectrum,"Real-Time Detection and Tracking of Multiple @@ -49703,11 +42054,6 @@ Visual and Infrared Spectrum Julius K¨ummerle, Timo Hinzmann, Anurag Sai Vempati and Roland Siegwart Autonomous Systems Lab, ETH Zurich" -35e0256b33212ddad2db548484c595334f15b4da,Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification,"Attentive Fashion Grammar Network for -Fashion Landmark Detection and Clothing Category Classification -Wenguan Wang∗1,2, Yuanlu Xu∗2, Jianbing Shen†1, and Song-Chun Zhu2 -Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China -Department of Computer Science and Statistics, University of California, Los Angeles, USA" 35fd6c9f2e651259ee565475f88faeb523511d4e,On the Performance of Kernel Methods for Skin Color Segmentation,"Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009, Article ID 856039, 13 pages @@ -49728,9 +42074,6 @@ Specifically, binary Support Vector Classifier (two-class SVM) and one-class N in some example images or in limited databases. We hypothesize that comparative performance evaluation on a representative pplication-oriented database will allow us to determine whether proposed kernel methods exhibit significant better performance than conventional skin segmentation methods. Two image databases were acquired for a webcam-based face recognition" -35184b2891ca17a8b1e5fe45b319336d00a2a4c9,Video Person Re-Identification by Temporal Residual Learning,"Video Person Re-identification by Temporal -Residual Learning -Ju Dai∗, Pingping Zhang∗, Huchuan Lu, Senior Member, IEEE, and Hongyu Wang, Member, IEEE" 35e855b0c1af4cc7bf62a8eb459c949776fbe7ee,Local Features and Kernels for Classification of Texture and Object Categories : An In-Depth Study,"INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE Local Features and Kernels for Classi(cid:2)cation of Texture and Object Categories: An In-Depth Study @@ -49749,10 +42092,6 @@ Singh, Matteo Cella, Michel Valstar, Hongying Meng, Andrew Kemp, Moshen Shafizad C. Elkins, Natalie Kanakam, Amschel de Rothschild, Nick Tyler, Paul J. Watson, Amanda C. de C. Williams, Maja Pantic, and Nadia Bianchi-Berthouze* face videos, head mounted and room audio signals," -354ddc8976a762ee03fb78b73adc3b5312e5f2a5,Accurate Eye Center Location through Invariant Isocentric Patterns,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. -Accurate Eye Center Location through Invariant -Isocentric Patterns -Roberto Valenti, Student Member, IEEE, and Theo Gevers, Member, IEEE," 35197862aed9a73415bdaea2fb8ad29d66675604,Mixture of SVMs for Face Class Modeling,"Mixture of SVMs for Face Class Modeling Julien Meynet1, Vlad Popovici, and Jean-Philippe Thiran Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, @@ -49803,40 +42142,10 @@ Georgia Inst. Of Technology Atlanta, CA" 351de1f7862bd13a82fcfcaa698b4efd53bc2c35,Automatic 3D face verification from range data,- 1930-7803-7663-3/03/$17.00 ©2003 IEEEICASSP 2003(cid:224) 35fe83665c61adb513781c7208b92706ae2a1578,Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions, -357e97b04375f09e9f4cfd45c69ecd9d7f0a15e1,ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars,"October 5th 2016: This version corrects some of the results for the ISAAC-PE and ISAAC-SE configurations. -ISAAC: A Convolutional Neural Network -Accelerator with In-Situ Analog Arithmetic in -Crossbars -Ali Shafiee∗, Anirban Nag∗, Naveen Muralimanohar†, Rajeev Balasubramonian∗, -John Paul Strachan†, Miao Hu†, R. Stanley Williams†, Vivek Srikumar∗ -School of Computing, University of Utah, Salt Lake City, Utah, USA -Email: {shafiee, anirban, rajeev, -Hewlett Packard Labs, Palo Alto, California, USA -Email: {naveen.muralimanohar, john-paul.strachan, miao.hu," 3506ef7168e07840187ec978b47f3a05a753101d,Robust 3D Face Landmark Localization Based on Local Coordinate Coding,"Robust 3D Face Landmark Localization based on Local Coordinate Coding Mingli Song, Senior Member, IEEE, Dacheng Tao, Senior Member, IEEE, Shengpeng Sun, Chun Chen, and Stephen J. Maybank Fellow, IEEE," -3535ba0cba9bf03443d52cbfc9a87090ca2e5d49,Supplementary Material : Synthesized Classifiers for Zero-Shot Learning,"Supplementary Material: -Synthesized Classifiers for Zero-Shot Learning -Soravit Changpinyo∗, Wei-Lun Chao∗ -U. of Southern California -Los Angeles, CA -Boqing Gong -U. of Central Florida -Orlando, FL -schangpi, -Fei Sha -U. of California -Los Angeles, CA -In this Supplementary Material, we provide details -omitted in the main text. -• Section 1: cross-validation strategies (Section 3.2 -of the main paper). -• Section 2: learning metrics for semantic similarity -(Section 3.1 of the main paper). -• Section 3: details on experimental setup (Sec- -tion 4.1 of the main paper)." 35e87e06cf19908855a16ede8c79a0d3d7687b5c,Strategies for MultiView Face Recognition for Identification of Human Faces : A Review,"Strategies for Multi-View Face Recognition for Identification of Human Faces: A Review Pritesh G. Shah @@ -49903,10 +42212,6 @@ Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=pqje20 Download by: [Rachel Bennetts] Date: 22 March 2016, At: 07:06" -351c02d4775ae95e04ab1e5dd0c758d2d80c3ddd,ActionSnapping: Motion-Based Video Synchronization,"ActionSnapping: Motion-based Video -Synchronization -Jean-Charles Bazin and Alexander Sorkine-Hornung -Disney Research" 353480b21d5745590db5f70b016a27e25f5b9aec,Cross-Modal and Hierarchical Modeling of Video and Text,"Cross-Modal and Hierarchical Modeling of Video nd Text Bowen Zhang(cid:63)1, Hexiang Hu(cid:63)1, and Fei Sha2 @@ -49919,9 +42224,6 @@ Mouna Kacimi Gerhard Weikum MPI–I–2011–5–002 May 2011" -35058a8166a8fa4479167ba33b3010cc8c839f44,A Study on Gait-Based Gender Classification,"A Study on Gait-Based Gender Classification -Shiqi Yu, Member, IEEE, Tieniu Tan, Fellow, IEEE, -Kaiqi Huang, Member, IEEE, Kui Jia, and Xinyu Wu" 3504907a2e3c81d78e9dfe71c93ac145b1318f9c,An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks,"Noname manuscript No. (will be inserted by the editor) Unconstrained Still/Video-Based Face Verification with Deep @@ -49951,10 +42253,6 @@ Plzeˇn, Czech Republic Faculty of Applied Sciences University of West Bohemia Plzeˇn, Czech Republic" -35af45f799c65d21bbb3cd24f666de861bad33b0,Multi-Target Tracking by Discrete-Continuous Energy Minimization,"Multi-Target Tracking by -Discrete-Continuous Energy Minimization -Anton Milan, Member, IEEE, Konrad Schindler, Senior Member, IEEE and -Stefan Roth, Member, IEEE," 53078a5692d493685fd2d63abf297a39b2edb36d,Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking,"Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking Filip Radenovi´c1 Ahmet Iscen1 Giorgos Tolias1 Yannis Avrithis2 Ondˇrej Chum1 VRG, FEE, CTU in Prague @@ -49988,11 +42286,6 @@ Kumar Krishna Agrawal∗ Pabitra Mitra {arnavkj95, abhinavagarawalla, kumarkrishna, Indian Institute of Technology Kharagpur" -533bfb82c54f261e6a2b7ed7d31a2fd679c56d18,Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection,"Technical Report MSU-CSE-14-1 -Unconstrained Face Recognition: Identifying a -Person of Interest from a Media Collection -Lacey Best-Rowden, Hu Han, Member, IEEE, Charles Otto, Brendan Klare, Member, IEEE, and -Anil K. Jain, Fellow, IEEE" 53bed2d3d75c4320ad5af4a85e31bf92e3c704ef,Reinforced Video Captioning with Entailment Rewards,"Reinforced Video Captioning with Entailment Rewards Ramakanth Pasunuru and Mohit Bansal UNC Chapel Hill @@ -50032,18 +42325,6 @@ Ramin Irani, Kamal Nasrollahi, and Thomas B. Moeslund Visual Analysis of People (VAP) Laboratory Rendsburggade 14, 9000 Aalborg, Denmark {ri, kn," -538a9230ddc14b8a5d3f5f195aac4ec43e37d16f,Joint Holistic and Partial CNN for Pedestrian Detection,"YUN ZHAO et al.: JOINT HOLISTIC AND PARTIAL CNN FOR PEDESTRIAN DETECTION 1 -Joint Holistic and Partial CNN for Pedestrian -Detection -Yun Zhao1 -Zejian Yuan*1 -Hui Zhang2 -Institute of Artificial Intelligence and -Robotics -Xi’an Jiaotong University -Xi’an, China -Shenzhen Forward Innovation -Digital Technology Co. Ltd. China" 5345822a30293c9989fd1ec19b5a2da96956347b,Acoustic-labial Speaker Verication 1,"Acoustic(cid:0)Labial Speaker Veri(cid:1)cation  P(cid:0) Jourlin a (cid:0) @@ -50064,9 +42345,6 @@ School of Engineering Department of Applied Signal Processing Supervisor: Mr. Tommaso Gritti, PHILIPS RESEARCH, Eindhoven, Netherlands Examiner: Mr. Mikael Nilsson" -532c80d296a5852703a33c03824f4199e44f96a7,Fast Rigid 3D Registration Solution: A Simple Method Free of SVD and Eigen-Decomposition,"Fast Rigid 3D Registration Solution: A Simple -Method Free of SVD and Eigen-Decomposition -Jin Wu, Member, IEEE, Ming Liu, Member, IEEE, Zebo Zhou and Rui Li, Member, IEEE" 5367610430dc0380dfbe8344e08537267875968c,Tracking 3 D Surfaces Using Multiple Cameras : A Probabilistic Approach,"Tracking 3D Surfaces Using Multiple Cameras: A Probabilistic Approach @@ -50125,9 +42403,6 @@ Aditya Khosla Akhil S. Raju Antonio Torralba Aude Oliva" -53facd4da5f1d1f98f876211421957f5fbe8a29a,The Mesh-LBP: A Framework for Extracting Local Binary Patterns From Discrete Manifolds,"The Mesh-LBP: A Framework for Extracting Local -Binary Patterns From Discrete Manifolds -Naoufel Werghi, Member, IEEE, Stefano Berretti, Member, IEEE, and Alberto del Bimbo, Member, IEEE" 535919a5ffa0f214df2ad39e80015ecba174a10d,k-fold Subsampling based Sequential Backward Feature Elimination, 5366573e96a1dadfcd4fd592f83017e378a0e185,"Server, server in the cloud. Who is the fairest in the crowd?","Böhlen, Chandola and Salunkhe Server, server in the cloud. @@ -50152,26 +42427,6 @@ Zagreb, HR-10000, Croatia Email: Email: Email:" -53b35519e09772fb7ec470fdec51c6edb43c4f13,Word Channel Based Multiscale Pedestrian Detection without Image Resizing and Using Only One Classifier,"Word Channel Based Multiscale Pedestrian Detection -Without Image Resizing and Using Only One Classifier -Arthur Daniel Costea and Sergiu Nedevschi -Image Processing and Pattern Recognition Group (http://cv.utcluj.ro) -Computer Science Department, Technical University of Cluj-Napoca, Romania -{arthur.costea, -pedestrian or non-pedestrian based on image features. The -image features should capture the required information for -lassification, while allowing fast computation. -Previous object detection approaches use a fixed size -sliding window and resize the image [8] or use a fixed size -image and resize the sliding window [29]. When using -multiple sliding window scales, individual classifiers are -trained for different scales. In this paper we propose a -solution to pedestrian detection that does not require image -resizing and uses only one classifier for all sliding window -scales. The proposed approach introduces the use of word -hannels, inspired from codebook based semantic image -nnotation techniques for extracting classification features. -. Related work" 539b66c91f41719ef94f50e6d42ab470f2a2702c,Agreeing to cross: How drivers and pedestrians communicate,"Agreeing To Cross: How Drivers and Pedestrians Communicate* Amir Rasouli, Iuliia Kotseruba and John K. Tsotsos1" 53822d61e829ef02a95a6c89fea082114fd3e16b,A General Framework for Tracking Multiple People from a Moving Camera,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. @@ -50179,13 +42434,6 @@ IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE A General Framework for Tracking Multiple People from a Moving Camera Wongun Choi, Caroline Pantofaru, Silvio Savarese" -536d1f74c6543afcf2bc711befd82ac7886d1c33,Fusing Shearlets and LBP Feature Sets for Face Recognition,"ISSN 1746-7659, England, UK -Journal of Information and Computing Science -Vol. 10, No. 1, 2015, pp. 029-039 -Fusing Shearlets and LBP Feature Sets for Face Recognition -Zhiyong Zeng 1 -Faculty of Software, Fujian Normal University, Fuzhou, 350108, China -(Received October 07, 2014, accepted December 24, 2014)" 53819049f41998a5a1587dfccccc2db8612b45af,Deep Semantic Lane Segmentation for Mapless Driving,"018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Madrid, Spain, October 1-5, 2018 978-1-5386-8093-3/18/$31.00 ©2018 IEEE" @@ -50213,11 +42461,6 @@ Published online: 8 October 2015 53f981cb6f1cf19b08255c571d62cc1073fd792b,Deconvolutional networks for point-cloud vehicle detection and tracking in driving scenarios,"Deconvolutional Networks for Point-Cloud Vehicle Detection nd Tracking in Driving Scenarios V´ıctor Vaquero∗, Ivan del Pino∗, Francesc Moreno-Noguer, Joan Sol`a, Alberto Sanfeliu and Juan Andrade-Cetto" -896e2776174dcb86d311789ab83a266151d0595b,A Novel Performance Evaluation Methodology for Single-Target Trackers,"A Novel Performance Evaluation Methodology -for Single-Target Trackers -Matej Kristan, Member, IEEE, Jiri Matas, Aleˇs Leonardis, Member, IEEE, Tom´aˇs Voj´ıˇr, -Roman Pflugfelder, Gustavo Fern´andez, Georg Nebehay, Fatih Porikli and -Luka ˇCehovin Member, IEEE," 89742f28108330f97df94df98f73b459b02ca33d,Query Specific Semantic Signature for Improved Web Image Re-Ranking Joshith,"International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-3, Issue-3, March 2015 Query Specific Semantic Signature for Improved @@ -50311,26 +42554,6 @@ No Author Given No Institute Given" 8961677300a9ee30ca51e1a3cf9815b4a162265b,Deep Representation Learning with Part Loss for Person Re-Identification,"Deep Representation Learning with Part Loss for Person Re-Identification Hantao Yao, Shiliang Zhang, Yongdong Zhang, Jintao Li, Qi Tian" -89fe52d1be59c7cbc8c0c2d41a0247060390ca74,Robust Multimodal Biometrics Recognition : A Review,"Volume 5, Issue 10, October-2015 ISSN: 2277 128X -International Journal of Advanced Research in -Computer Science and Software Engineering -Research Paper -Available online at: www.ijarcsse.com -Robust Multimodal Biometrics Recognition: A Review -Sangramsing Kayte -Jaypalsing N. Kayte -Dr. Charansing Kayte -Suvarnsing G. Bhable -Department of Computer -Science & IT -Science & IT -Computer Science & IT -Department of Computer -Department of -Assistant Professor -Department of Digital -nd Cyber Forensic, -Aurangabad," 890103cb8d3d869298421da817d0a181487ec79a,Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization,"Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization Jinshi Yu, Guoxu Zhou, Andrzej Cichocki @@ -50365,10 +42588,6 @@ Powered by the California Digital Library University of California" 894f1e924dfb8dfb843c42835fa79e386ac07383,Dimensional emotion recognition using visual and textual cues,"Dimensional emotion recognition using visual and textual cues Pedro M. Ferreira1, Diogo Pernes2, Kelwin Fernandes1, Ana Rebelo3 and Jaime S. Cardoso1" -89475b4d09e541e09becb9aa134c8de117725205,Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories,"Automatic Analysis of Facial Expressions Based on -Deep Covariance Trajectories -Naima Otberdout, Member, IEEE, Anis Kacem, Member, IEEE, Mohamed Daoudi, Senior, IEEE, -Lahoucine Ballihi, Member, IEEE, and Stefano Berretti, Senior, IEEE" 89ef75b43bc329f21fd3e81d36235d4824478831,A real-time Deep Learning pedestrian detector for robot navigation,"A Real-Time Deep Learning Pedestrian Detector for Robot Navigation David Ribeiro, Andr´e Mateus, Pedro Miraldo, and Jacinto C. Nascimento Instituto de Sistemas e Rob´otica, Instituto Superior T´ecnico, Universidade de Lisboa, Lisboa, Portugal" @@ -50385,26 +42604,6 @@ A. Elhayek C. Stoll K. I. Kim and C. Theobalt Max-Planck-Institute for Informatics, Saarbrücken, Germany Figure 1: Examples of multi-person tracking with moving cameras. (Left two images) two actors, and two moving and 3 static ameras (Soccer1). (Right two images) One actor, and three moving and two static cameras (Walk2)." -894fa98257c0b9a1cb0388ecf56f3bcaa85dd3ff,Cognitive Effects of Mindfulness Training: Results of a Pilot Study Based on a Theory Driven Approach,"ORIGINAL RESEARCH -published: 12 July 2016 -doi: 10.3389/fpsyg.2016.01037 -Cognitive Effects of Mindfulness -Training: Results of a Pilot Study -Based on a Theory Driven Approach -Lena Wimmer *, Silja Bellingrath and Lisa von Stockhausen -Department of Psychology, University of Duisburg-Essen, Essen, Germany -The present paper reports a pilot study which tested cognitive effects of mindfulness -practice in a theory-driven approach. Thirty-four fifth graders received either a -mindfulness training which was based on the mindfulness-based stress reduction -pproach (experimental group), a concentration training (active control group), or no -treatment (passive control group). Based on the operational definition of mindfulness by -Bishop et al. (2004), effects on sustained attention, cognitive flexibility, cognitive inhibition, -nd data-driven as opposed to schema-based information processing were predicted. -These abilities were assessed in a pre-post design by means of a vigilance test, a -reversible figures test, the Wisconsin Card Sorting Test, a Stroop test, a visual search -task, and a recognition task of prototypical faces. Results suggest that the mindfulness -training specifically improved cognitive inhibition and data-driven information processing. -Keywords: mindfulness, attention, cognition, meditation, cognitive flexibility, cognitive inhibition, children, school" 89ed007d1dc8cd26033e71dfad7698c835b7336f,"Statistical modeling, level-set and ensemble learning for automatic segmentation of 3D high-frequency ultrasound data : towards expedited quantitative ultrasound in lymph nodes from cancer patients. (Modélisation statistique, méthodes d'ensemble de niveaux et apprentissage automatique pour la segmen","Statistical modeling, level-set and ensemble learning for utomatic segmentation of 3D high-frequency ultrasound data : towards expedited quantitative @@ -50506,14 +42705,6 @@ social network, account, Sensor Pattern Noise, identity, linking, digital image 89e324b9c64a800e57ad82eddecc03f2cc0b7cc5,Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization.,"Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization Shoou-I Yu, Yi Yang, Xuanchong Li, and Alexander G. Hauptmann" -d22785eae6b7503cb16402514fd5bd9571511654,Evaluating Facial Expressions with Different Occlusion around Image Sequence,"Evaluating Facial Expressions with Different -Occlusion around Image Sequence -Ankita Vyas, Ramchand Hablani -Department of Computer Science -Sanghvi Institute of Management & Science -Indore (MP), India -local -INTRODUCTION" d2b86b6dc93631990e21a12278e77f002fb4b116,Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification,"Aalborg Universitet Attention in Multimodal Neural Networks for Person Re-identification Lejbølle, Aske Rasch; Krogh, Benjamin; Nasrollahi, Kamal; Moeslund, Thomas B. @@ -50585,13 +42776,6 @@ Keywords: Convolution Neural Network Ear Recognition Uniform Illumination Invariant" -d2a5b9b8f02f39f7d9ef48d234ec61f4ddc6c291,Facial surface reconstruction in 3 D format,"Journal of Theoretical and Applied Computer Science -ISSN 2299-2634 -Vol. 6, No. 4, 2012, pp. 37-50 -http://www.jtacs.org -Facial surface reconstruction in 3D format -Nadezhda Shchegoleva -Department of Mathematical Computer Software, Saint Petersburg Electrotechnical University (LETI), Russia" d2518b01092160cecec2e986935b0129b0bbff45,Looking around the Backyard Helps to Recognize Handwritten Digits Anonymous CVPR submission Paper ID 2611,"#2611 CVPR 2008 Submission #2611. CONFIDENTIAL REVIEW COPY. DO NOT DISTRIBUTE. #2611 @@ -50641,26 +42825,6 @@ d24a7a7ceb2ddce42ac64d1d07ccebc2a55ed053,A Bayesian Architecture for Combining S Dashan Gao and Nuno Vasconcelos SVCL-TR 2005/01 June 2005" -d278e020be85a1ccd90aa366b70c43884dd3f798,Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks,"Learning From Less Data: Diversified Subset Selection and -Active Learning in Image Classification Tasks -Vishal Kaushal -IIT Bombay -Mumbai, Maharashtra, India -Khoshrav Doctor -AITOE Labs -Mumbai, Maharashtra, India -Suyash Shetty -AITOE Labs -Mumbai, Maharashtra, India -Rishabh Iyer -AITOE Labs -Seattle, Washington, USA -Anurag Sahoo -AITOE Labs -Seattle, Washington, USA -Narsimha Raju -IIT Bombay -Mumbai, Maharashtra, India" d24a30ed78b749f3730e25dcef89472dd5fb439c,Improving Face Recognition Performance Using a Hierarchical Bayesian Model,"Improving Face Recognition Performance Using a Hierarchical Bayesian Model @@ -50688,12 +42852,6 @@ d2f254780699bafff02eafc92e00822ee597c864,A comparative evaluation of global repr for Face Verification S. Cruz-Llanas, J. Fierrez-Aguilar, J. Ortega-Garcia, J. Gonzalez-Rodriguez Biometrics Research Lab. – Universidad Politecnica de Madrid" -d252e10024a22c8274ae67dbf37aa854d75a85f2,Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces,"Joint Gender Classification and Age Estimation -y Nearly Orthogonalizing Their Semantic -Spaces -Qing Tiana, Songcan Chena,∗ -College of Computer Science and Technology, Nanjing University of Aeronautics and -Astronautics, Nanjing 210016, China" d28c12e270a06e977b59194cc6564787c87caa7e,HUMAN ACTION POSELETS ESTIMATION VIA COLOR G-SURF IN STILL IMAGES,"HUMAN ACTION POSELETS ESTIMATION VIA COLOR G-SURF IN STILL IMAGES M. Favorskaya *, D. Novikov, Y. Savitskaya Institute of Informatics and Telecommunications, Siberian State Aerospace University, 31 Krasnoyarsky Rabochy av., Krasnoyarsk, @@ -50710,16 +42868,6 @@ Objekterkennung Erik Rodner Lehrstuhl Digitale Bildverarbeitung Friedrich-Schiller Universit¨at Jena" -d2b0e08637266f49e9764b65e5154363b063a00d,Employing Fuzzy-Histogram Equalization to Combat Illumination Invariance in Face Recognition Systems,"I.J. Intelligent Systems and Applications, 2012, 9, 54-60 -Published Online August 2012 in MECS (http://www.mecs -press.org/) -DOI: 10.5815/ijisa.2012.09.07 -Employing Fuzzy-Histogram Equalization to -Combat Illumination Invariance in Face -Recognition Systems -Adebayo Kolawole John -Department Of Computer Science, Oduduwa University, Ipetumodu, Ile-Ife, Nigeria -Onifade Onifade Williams -Department Of Computer Science, University Of Ibadan, Ibadan, Nigeria" d2ada7d9424c056cc555f331dbb23ddab84eeee7,Background Subtraction with Dirichlet Processes,"Background Subtraction with Dirichlet Processes Tom S. F. Haines and Tao Xiang @@ -50739,12 +42887,6 @@ Doctoral Student, Jain University, Bangalore GM Institute of Technology, Davanagere D Face Detection and Recognition under Occlusion is very vital. Three-dimensional" -d2f1fa5f3cc425f7d5b9f6fe6123da8bdb0724b7,A New Image Retrieval System Based on CBIR,"International Journal of Emerging Technology and Advanced Engineering -Website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 2, February 2015) -A New Image Retrieval System Based on CBIR -Richa Jain1, Sitesh Kumar Sinha2, Mukesh Kumar3 -,2,3CSE Department, AISECT University, India -image retrieval" d2cda0dbb8b2e83ce3e70d818f78d2add803c661,Automatic Video Captioning via Multi-channel Sequential Encoding,"Automatic Video Captioning via Multi-channel Sequential Encoding Chenyang Zhang and Yingli Tian @@ -50796,23 +42938,6 @@ Copyright © Institute of Research Engineers and Doctors, USA .All rights reserv ISBN: 978-1-63248-060-6 doi: 10.15224/ 978-1-63248-060-6-07 Bio-Inspired Pedestrian Detection and Tracking Miguel Farrajota, João M.F. Rodrigues and J.M.H. du Buf" -cdd5062627c7b331d64a1dec25989815cd9a4913,GCSTLPP : Face Recognition using Gabor Center-Symmetric Tensor Locality Preservative Projection Approach in Video,"I.J. Modern Education and Computer Science, 2016, 4, 18-24 -Published Online April 2016 in MECS (http://www.mecs-press.org/) -DOI: 10.5815/ijmecs.2016.04.03 -GCSTLPP: Face Recognition using Gabor -Center-Symmetric Tensor Locality Preservative -Projection Approach in Video -DayanandaSagar College of Engineering, Information Science and Engineering Department, Bangalore, India -Rajeshwari.J -Email: -K. Karibasappa -Oxford College of Engineering, Bangalore, India -Email: -Gopalkrishna M.T -K.S. School of Engineering and Management, Computer Science and Engineering Department, Bangalore, India -Email: -three -ombining" cd827a9dbf82240cb711f049989decada01c8ac7,"Object Localization , Segmentation , and Classification in 3 D Images by","City University of New York (CUNY) CUNY Academic Works Dissertations, Theses, and Capstone Projects @@ -50858,13 +42983,6 @@ ARTIFICIAL REFERENCE PICTURES Felix Haub, Thorsten Laude and J¨orn Ostermann Leibniz University Hannover, Institut f¨ur Informationsverarbeitung, Appelstr. 9a, 30167 Hannover, Germany" -cd490432e35ed5c5b7d80e1525e2780d7467ffb6,ESTIMATION OF LOST VALUES USING KINECT ’ S SENSOR IN AN INPAINTING TECHNIQUE,"International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882 -Vo lu me 3, Issue 8, Nove mber 2014 -BACKGROUND ESTIMATION OF LOST VALUES USING -KINECT’S SENSOR IN AN INPAINTING TECHNIQUE -* PG Schola r, Dept of EEE [Embedded systems technologies], #Assistant Professsor, -Dept of EEE, Kongunadu College Of Engineering & Technology,Trichy, Ta mil Nadu, India -*S.Kavitha, #Ms.S.Hemalatha" cd0a04c0af9b6c523884415ba54bff370fd02fab,Generalized Sparselet Models for Real-Time Multiclass Object Recognition,"Generalized Sparselet Models for Real-Time Multiclass Object Recognition Hyun Oh Song, Ross Girshick, Stefan Zickler, Christopher Geyer, Pedro Felzenszwalb, and Trevor Darrell" @@ -50965,32 +43083,6 @@ Charlie Frowd*, Anna Petkovic, Kamran Nawaz and Yasmeen Bashir School of Psychology, University of Central Lancashire, Preston, UK *Corresponding author: Dr Charlie Frowd, School of Psychology, University of Central Lancashire, Preston PR1 2HE. Email: Phone: (01772) 893439." -b2b535118c5c4dfcc96f547274cdc05dde629976,Automatic Recognition of Facial Displays of Unfelt Emotions,"JOURNAL OF IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. XX, NO. X, XXX 2017 -Automatic Recognition of Facial Displays of -Unfelt Emotions -Kaustubh Kulkarni*, Ciprian Adrian Corneanu*, Ikechukwu Ofodile*, Student Member, IEEE, Sergio -Escalera, Xavier Bar´o, Sylwia Hyniewska, Member, IEEE, J¨uri Allik, -nd Gholamreza Anbarjafari, Senior Member, IEEE" -b216040f110d2549f61e3f5a7261cab128cab361,Weighted Voting of Discriminative Regions for Face Recognition,"IEICE TRANS. INF. & SYST., VOL.E100–D, NO.11 NOVEMBER 2017 -LETTER -Weighted Voting of Discriminative Regions for Face Recognition∗ -Wenming YANG†, Member, Riqiang GAO†a), and Qingmin LIAO†, Nonmembers -SUMMARY -This paper presents a strategy, Weighted Voting of Dis- -riminative Regions (WVDR), to improve the face recognition perfor- -mance, especially in Small Sample Size (SSS) and occlusion situations. -In WVDR, we extract the discriminative regions according to facial key -points and abandon the rest parts. Considering different regions of face -make different contributions to recognition, we assign weights to regions -for weighted voting. We construct a decision dictionary according to the -recognition results of selected regions in the training phase, and this dic- -tionary is used in a self-defined loss function to obtain weights. The final -identity of test sample is the weighted voting of selected regions. In this -paper, we combine the WVDR strategy with CRC and SRC separately, and -extensive experiments show that our method outperforms the baseline and -some representative algorithms. -key words: discriminative regions, small sample size, occlusion, weighted -strategy, face recognition" b2624c3cb508bf053e620a090332abce904099a1,Dynamic Memory Networks for Visual and Textual Question Answering,"Dynamic Memory Networks for Visual and Textual Question Answering Caiming Xiong*, Stephen Merity*, Richard Socher MetaMind, Palo Alto, CA USA @@ -51003,11 +43095,6 @@ MTech Student 1 , Assistant Professor 2 , Department of Computer Science and En Management and Technology, Raipur Chhattisgarh, India1, 2 Vinita Phatnani1, Akash Wanjari2, its significant contribution" -b29e60ddcabff5002c3ddec135ec94dd991d8d5a,Compressing deep convolutional neural networks in visual emotion recognition,"Compressing deep convolutional neural networks in visual emotion -recognition -A.G. Rassadin1, A.V. Savchenko1 -National Research University Higher School of Economics, Laboratory of Algorithms and Technologies for Network Analysis, 25/12 Bolshaya Pecherskaya -Street, 603155, Nizhny Novgorod, Russia" b277bde51641d6b08693c171aea761beb14af800,FACE KERNEL EXTRACTION FROM LOCAL FEATURES,"FACE KERNEL EXTRACTION FROM LOCAL FEATURES A thesis submitted to the University of Manchester @@ -51091,13 +43178,6 @@ France" b266be4d9fab8bf307ee2e6fdd6180ac7f6ef893,Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark,"Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark Xiaodan Liang, Ke Gong, Xiaohui Shen, and Liang Lin" -b2046c78d4e2f00a72ee9a76875746d2d3f47e1c,Variational Infinite Hidden Conditional Random Fields,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI -IEEE TRANSACTION ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE -Variational Infinite -Hidden Conditional Random Fields -Konstantinos Bousmalis, Student Member, IEEE, Stefanos Zafeiriou, Member, IEEE, -Louis-Philippe Morency, Member, IEEE, Maja Pantic, Fellow, IEEE, -nd Zoubin Ghahramani, Member, IEEE" b2891e43c7b5dcd889f1a270721209a9cb9cfb49,Human Emotion Detection and Recognition from Still Images,"Human Emotion Detection and Recognition from Still Images Zareena Student, VTU RC, Mysore @@ -51154,16 +43234,6 @@ In Proceedings of the 12th International Joint Conference on Computer Vision, Im 89-397 ISBN: 978-989-758-225-7 Copyright c(cid:13) 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved" -0e815b773e480ef20a680dd35cd72ab26a141d2f,Person re-identification via efficient inference in fully connected CRF,"Person re-identification via efficient inference in fully -onnected CRF -Wan Jiuqing -Department of Automation -Xing Menglin -Department of Automation -Beijing University of Aeronautics and Astronautics -Beijing University of Aeronautics and Astronautics -Beijing, China -Beijing, China" 0e78af9bd0f9a0ce4ceb5f09f24bc4e4823bd698,Spontaneous Subtle Expression Recognition: Imbalanced Databases and Solutions,"Spontaneous Subtle Expression Recognition: Imbalanced Databases & Solutions (cid:63) Anh Cat Le Ngo1, Raphael Chung-Wei Phan1, John See2 @@ -51190,9 +43260,6 @@ July 2003" 0efdd82a4753a8309ff0a3c22106c570d8a84c20,LDA WITH SUBGROUP PCA METHOD FOR FACIAL IMAGE RETRIEVAL,"LDA WITH SUBGROUP PCA METHOD FOR FACIAL IMAGE RETRIEVAL Wonjun Hwang, Tae-Kyun Kim, Seokcheol Kee Human Computer Interaction Lab., Samsung Advanced Institute of Technology, Korea." -0e36bf238d2db6c970ade0b5f68811ed6debc4e8,Recognizing Partial Biometric Patterns,"JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 4, AUGUST 2018 -Recognizing Partial Biometric Patterns -Lingxiao He, Student Member, IEEE, Zhenan Sun, Member, IEEE, Yuhao Zhu and Yunbo Wang" 0ef99317c2ab67923c1657c05f2eba5a280a54eb,Incremental adaptation of fuzzy ARTMAP neural networks for video-based face classification,"Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Security and Defense Applications (CISDA 2009) Incremental Adaptation of Fuzzy ARTMAP Neural Networks for @@ -51210,30 +43277,6 @@ for Face Alignment under Significant Head Rotation Brandon M. Smith Charles R. Dyer University of Wisconsin–Madison" -0ebd83e838dcd5827329c65d1ccc260e7aa7b5fe,Sufficient Dimensionality Reduction with Irrelevant Statistics,"UAI2003 -GLOBERSON ET AL. -Sufficient Dimensionality -Reduction with -Irrelevance -Statistics -Amir Globerson* Gal Chechik • Naftali Tishby -of Computer -School -Interdisciplinary -The Hebrew University, -Science -Center for Neural Computation -Jerusalem -91904, -Israel -nd Engineering -Unfortunately -, natural -datasets" -0ee737085af468f264f57f052ea9b9b1f58d7222,SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination,"SiGAN: Siamese Generative Adversarial Network -for Identity-Preserving Face Hallucination -Chih-Chung Hsu, Member, IEEE, Chia-Wen Lin, Fellow, IEEE, Weng-Tai Su, Student Member, IEEE, -nd Gene Cheung, Senior Member, IEEE," 0e13f7fc698cbe78ddbf3412b13ca27a4d878fa8,Greater need to belong predicts a stronger preference for extraverted faces ☆,"See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/306357929 Greater need to belong predicts a stronger preference for extraverted faces ☆ @@ -51312,28 +43355,9 @@ Unsupervised Detection of Outlier Images Using Multi-Order Image Transforms Lior Shamira,∗ Lawrence Technological University, 21000 W Ten Mile Rd., Southfield, MI 48075, United States." -0e7fdc0b03a1481b2fa1b5d592125f41b6cb7ad7,Dual CNN Models for Unsupervised Monocular Depth Estimation,"Dual CNN Models for Unsupervised Monocular Depth Estimation -Computer Vision Group, -Indian Institute of Information Technology, Sri City, -Vamshi Krishna Repala -Shiv Ram Dubey -Andhra Pradesh-517646, India -vamshi.r14," -0ed78b9562661c550e382ed30de252d877a04cdc,An Evaluation of Video-to-Video Face Verification,"An Evaluation of Video-to-Video Face Verification -Norman Poh, Member, IEEE, Chi Ho Chan, Josef Kittler, Sébastien Marcel, Christopher Mc Cool, -Enrique Argones Rúa, José Luis Alba Castro, Mauricio Villegas, Student Member, IEEE, Roberto Paredes, -Vitomir ˇStruc, Member, IEEE, Nikola Paveˇsic´, Albert Ali Salah, Hui Fang, and Nicholas Costen -features," 0e767d8a88cdeea1a4338817c0e6ea3640ba4232,Deep Learning Architectures for Face Recognition in Video Surveillance,"Deep Learning Architectures for Face Recognition in Video Surveillance Saman Bashbaghi, Eric Granger, Robert Sabourin and Mostafa Parchami" -0ea0f6842b759c7a51c462a7c6d3f2505ba6ea3b,Fuzzy Pattern-Based with Laplacianfaces Biometric Pattern Matching Algorithm for Face Recognition,"ISSN : 0976-8491 (Online) | ISSN : 2229-4333 (Print) -IJCST Vol. 6, ISSue 1, Jan - MarCh 2015 -Fuzzy Pattern-Based with Laplacianfaces Biometric Pattern -Matching Algorithm for Face Recognition -Dept. of Software Engineering, RKDF Institute of Science Technology, Bhopal, India -Dept. of Computer Science, RKDF Institute of Science Technology, Bhopal, India -Ajit Kumar Tiwari, 2Shrikant Lade" 0ecaabbf846bbc78c91bf7ff71b998b61c0082d8,Automated Visual Fin Identification of Individual Great White Sharks,"Noname manuscript No. (will be inserted by the editor) Automated Visual Fin Identification @@ -51343,13 +43367,6 @@ Received: date / Accepted: date" 0eff410cd6a93d0e37048e236f62e209bc4383d1,Learning discriminative MspLBP features based on Ada-LDA for multi-class pattern classification,"Anchorage Convention District May 3-8, 2010, Anchorage, Alaska, USA 978-1-4244-5040-4/10/$26.00 ©2010 IEEE" -0e23229289b1fbea14bc425718bc0a227d100b8e,Survey of Recent Advances in Visual Question Answering,"Survey of Recent Advances in Visual Question Answering -Supriya Pandhre∗ -Indian Institute of Technology Hyderabad -Hyderabad, India -Shagun Sodhani -Adobe Systems -Noida, India" 0e7862580028aa80c409b52ef1fa683444afcbcd,Reducing the Dimensionality of Face Space in a Sparse Distributed Local-Features Representation,"(cid:3) Reducing the Dimensionality of Face Space in a Sparse Distributed Local-Features Representation @@ -51357,8 +43374,6 @@ Laboratory of Computational Neuroscience 230 York Avenue, New York, NY 10021 The Rockefeller University Penio S. Penev" -0ec0b35b95f1770887844687f0718924066b1f85,Adaptive Image Denoising by Targeted Databases,"Adaptive Image Denoising by Targeted Databases -Enming Luo, Student Member, IEEE, Stanley H. Chan, Member, IEEE, and Truong Q. Nguyen, Fellow, IEEE" 0e9f7d8554e065a586163845dd2bfba26e55cefb,Registration of 3 D Face Scans with Average Face Models ∗,"Registration of 3D Face Scans with Average Face Models Albert Ali Salah1,2, Ne¸se Aly¨uz1, Lale Akarun1 {salah, nese.alyuz, @@ -51386,24 +43401,6 @@ Electronics Engineering Department SVNIT, Surat" 0e031312cb6e1634e3115e428505e2be9ef46b75,Explicit Knowledge-based Reasoning for Visual Question Answering,"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17) giraffe people people Attributes: glass house room standing walking wall zoo Scenes: museum indoor Visual Question: How many giraffes are there in the image? Answer: Two. Common-Sense Question: Is this image related to zoology? Answer: Yes. Reason: Object/Giraffe --> Herbivorous animals --> Animal --> Zoology; Attribute/Zoo --> Zoology. KB-Knowledge Question: What are the common properties between the animal in this image and zebra? Answer: Herbivorous animals; Animals; Megafauna of Africa. Figure1:ArealexampleoftheproposedKB-VQAdatasetandtheresultsgivenbyAhab,theproposedVQAapproach.Ourapproachanswersquestionsbyextractingseveraltypesofvisualconceptsfromanimageandaligningthemtolarge-scalestructuredknowl-edgebases.Apartfromanswers,ourapproachcanalsoproviderea-sonsandexplanationsforcertaintypesofquestions.itisansweringthequestionbasedonimageinformation,orjusttheprevalenceofaparticularanswerinthetrainingset.Thesecondproblemisthatbecausethemodelistrainedonindividualquestion/answerpairs,therangeofquestionsthatcanbeaccuratelyansweredislimited.Answeringgeneralquestionsposedbyhumansaboutimagesinevitablyrequiresreferencetoadiversevarietyofinformationnotcontainedintheimageitself.CapturingsuchlargeamountofinformationwouldrequireanimplausiblylargeLSTM,andacompletelyimpracticalamountoftrainingdata.Thethird,andmajor,problemwiththeLSTMapproachisthatitisincapableofex-plicitreasoningexceptinverylimitedsituations[Rockt¨ascheletal.,2016].OurmaincontributionisamethodwecallAhab1foran-sweringawidevarietyofquestionsaboutimagesthatrequire1Ahab,thecaptaininthenovelMobyDick,iseitherabrilliantvisionary,oradeludedfanatic,dependingonyourperspective." -0e95f68171b27621a39e393afb7c74ef1506fe85,CONTENT BASED IMAGE RETRIEVAL USING ENHANCED LOCAL TETRA PATTERNS,"CONTENT BASED IMAGE RETRIEVAL USING -ENHANCED LOCAL TETRA PATTERNS -Divya Gupta1, Anjali Jindal2 -Assistant Professor, Computer Science Department -SRM University, Delhi NCR Campus, India -M.Tech Student (Computer Science and Engineering) -SRM University, Delhi NCR Campus, India" -0ee661a1b6bbfadb5a482ec643573de53a9adf5e,On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition,"JOURNAL OF LATEX CLASS FILES, VOL. X, NO. X, MONTH YEAR -On the Use of Discriminative Cohort Score -Normalization for Unconstrained Face Recognition -Massimo Tistarelli, Senior Member, IEEE, Yunlian Sun, and Norman Poh, Member, IEEE" -e9ed17fd8bf1f3d343198e206a4a7e0561ad7e66,Cognitive Learning for Social Robot through Facial Expression from Video Input,"International Journal of Enhanced Research in Science Technology & Engineering, ISSN: 2319-7463 -Vol. 3 Issue 1, January-2014, pp: (362-365), Impact Factor: 1.252, Available online at: www.erpublications.com -Cognitive Learning for Social Robot through -Facial Expression from Video Input -Neeraj Rai1, Deepak Rai2 -Department of Automation & Robotics, 2Department of Computer Science & Engg. -,2Ajay Kumar Garg Engineering College, Ghaziabad, UP, India" e9c8594ce3b8c555df59ff32b1a71eb62722b38c,On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach,"On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach Nikolai Smolyanskiy @@ -51411,27 +43408,10 @@ Nikolai Smolyanskiy Alexey Kamenev NVIDIA Stan Birchfield" -e9ae8bbfec913300eedede3ec48acb56c15ebdea,DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild,"DisguiseNet : A Contrastive Approach for Disguised Face Verification in the Wild -Skand Vishwanath Peri -Abhinav Dhall -Learning Affect and Semantic Image AnalysIs (LASII) Group, -Indian Institute of Technology Ropar, India" e9af96d478b487fec9a06dde9e43b2ed3355ea7b,Automatic thresholding of SIFT descriptors,"AUTOMATIC THRESHOLDING OF SIFT DESCRIPTORS Matthew R. Kirchner Image and Signal Processing Branch, Research Office, Code 4F0000D Naval Air Warfare Center Weapons Division, China Lake, CA 93555 USA" -e96a3d4df7f6956ba185107747c3d7c16d1ed845,Unite the People: Closing the Loop Between 3D and 2D Human Representations,"Unite the People: Closing the Loop Between 3D and 2D Human Representations -Christoph Lassner1,2 -Javier Romero3,* -Martin Kiefel2 -Federica Bogo4,* -Michael J. Black2 -Peter V. Gehler5,* -Bernstein Center for Computational Neuroscience, T¨ubingen, Germany -MPI for Intelligent Systems, T¨ubingen, Germany -Body Labs Inc., New York, United States -Microsoft, Cambridge, UK -5University of W¨urzburg, Germany" e941ee2d584938e6509c0676466023f8b43b9486,Appearance based tracking with background subtraction,"The 8th International Computer Science April 26-28, 2013. Colombo, @@ -51452,12 +43432,6 @@ Engineering Telecommunication Telecommunication Electronic" -e94804b7f2515740671a678239eccdb79a050272,Generating a Fusion Image: One's Identity and Another's Shape,"Generating a Fusion Image: One’s Identity and Another’s Shape -Donggyu Joo∗ -School of Electrical Engineering, KAIST, South Korea -Doyeon Kim∗ -{jdg105, doyeon kim, -Junmo Kim" e917bb1f7efdfc448b8b63c52e8f643e68630a11,3 D information is valuable for the detection of humans in video streams,"D information is valuable for the detection of humans in video streams Sébastien Piérard @@ -51521,13 +43495,6 @@ Xi Yin and Xiaoming Liu Member, IEEE," e9ac109c395ededb23dfc78fe85d76eeb772ee7e,A Multilevel Mixture-of-Experts Framework for Pedestrian Classification,"A Multilevel Mixture-of-Experts Framework for Pedestrian Classification Markus Enzweiler and Dariu M. Gavrila" -e9dc096762f503cfe0d56066c02d27082665b3cf,Face Sketch to Photo Matching Using LFDA,"International Journal of Science and Research (IJSR) -ISSN (Online): 2319-7064 -Face Sketch to Photo Matching Using LFDA -Pushpa Gopal Ambhore1, Lokesh Bijole2 -Research Scholor of Amravati University, -Computer Engineering Department Padm. Dr. V. B. Kolte Coe Malkapur Maharashtra, India -Assistant Professor, Computer Engineering Department Padm. Dr.V.B. Kolte coe Malkapur Maharashtra, India" e991ff3b28c46279a3bee2446d989326a682bd33,Robust non-negative matrix factorization,"Front. Electr. Electron. Eng. China 2011, 6(2): 192–200 DOI 10.1007/s11460-011-0128-0 Lijun ZHANG, Zhengguang CHEN, Miao ZHENG, Xiaofei HE @@ -51660,15 +43627,6 @@ nd Media Informatics, Budapest University of Technology and Economics, Budapest, A special area of human-machine interaction, the expression of emotions gains importance with the continuous development of artificial agents such as social robots or" -54801c260df5221a9de533d371d3edcc358b4050,On Combining Classifiers,"IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 20, NO. 3, MARCH 1998 -On Combining Classifiers -Josef Kittler, Member, IEEE Computer Society, Mohamad Hatef, Robert P.W. Duin, and Jiri Matas" -54dae5187de3898d8034719bcaa3e0100ae72d76,Probabilistic Attributed Hashing,"Probabilistic Attributed Hashing -Mingdong Ou1, Peng Cui1, Jun Wang2, Fei Wang3, Wenwu Zhu1 -Tsinghua National Laboratory for Information Science and Technology -Department of Computer Science and Technology, Tsinghua University. Beijing, China -Department of Computer Science and Engineering, University of Connecticut. Storrs, CT. USA. -Data Science, Alibaba Group, Seattle, WA, USA." 5458ccf22bdea7197e28b433ef06d5225fb030a7,Video Description using Bidirectional Recurrent Neural Networks,"Video Description using Bidirectional Recurrent Neural Networks ´Alvaro Peris1, Marc Bola˜nos2,3, Petia Radeva2,3, and Francisco Casacuberta1 @@ -51725,11 +43683,6 @@ Paola CAMPADELLI, Raffaella LANZAROTTI, Giuseppe LIPORI 1 Dipartimento di Scienze dell’Informazione. Università degli Studi di Milano. Via Comelico, 39/41 - 20135 Milano (Italy)" -54aacc196ffe49b3450059fccdf7cd3bb6f6f3c3,A joint learning framework for attribute models and object descriptions,"A Joint Learning Framework for Attribute Models and Object Descriptions -Dhruv Mahajan -Yahoo! Labs, Bangalore, India -Sundararajan Sellamanickam -Vinod Nair" 5479da1038a530beb760a38dbb5b08947dfaefbd,Fusing continuous spectral images for face recognition under indoor and outdoor illuminants,"DOI 10.1007/s00138-008-0151-1 ORIGINAL PAPER Fusing continuous spectral images for face recognition @@ -51835,72 +43788,11 @@ results of PK were compared to results of control subjects. Patient PK showed at typical patterns of brain activations in the FG and OFA. However, a significant difference between PK and control subjects was found in the left anterior superior temporal sulcus/middle temporal gyrus (aSTS/MTG). In PK the left aSTS/MTG was hypo‑activated in comparison" 541bccf19086755f8b5f57fd15177dc49e77d675,A few days of a robot's life in the human's world: toward incremental individual recognition,"Computer Science and ArtificialIntelligence LaboratoryTechnical Reportmassachusetts institute of technology, cambridge, ma 02139 usa — www.csail.mit.eduMIT-CSAIL-TR-2007-022April 3, 2007A Few Days of A Robot’s Life in the Human’s World: Toward Incremental Individual RecognitionLijin Aryananda" -8bdbb685174d6023e63c55fdf9ad9b2ac78e79bd,Learning Human Poses from Actions-Supplementary Material,"ADITYA, JAWAHAR, PAWAN: LEARNING HUMAN POSES FROM ACTIONS -Learning Human Poses from Actions - -Supplementary Material -Aditya Arun1 -C.V. Jawahar1 -M. Pawan Kumar2 -IIIT Hyderabad -University of Oxford & -The Alan Turing Institute -In this supplementary material, we provide additional details on optimization of our -learning objective, implementation details, and visualization of the learning process. We -lso provide additional results of training a different architecture for human pose estimation -on two data sets. -Optimization -In this section, we provide details of optimization presented in section 3.5 of the paper. -.1 Learning Objective -We represent the prediction distribution using a DISCO Net, which we denote by Prw, w -eing the parameter of the network. Similarly, we represent the conditional distribution using -set of DISCO Nets, which we denote by Prθθθ . The set of parameters for the conditional -networks is denoted by θθθ. We compute samples from the prediction network as {hw" -8bf57dc0dd45ed969ad9690033d44af24fd18e05,Subject-Independent Emotion Recognition from Facial Expressions using a Gabor Feature RBF Neural Classifier Trained with Virtual Samples Generated by Concurrent Self-Organizing Maps,"Subject-Independent Emotion Recognition from Facial Expressions -using a Gabor Feature RBF Neural Classifier Trained with Virtual -Samples Generated by Concurrent Self-Organizing Maps -VICTOR-EMIL NEAGOE, ADRIAN-DUMITRU CIOTEC -Depart. Electronics, Telecommunications & Information Technology -Polytechnic University of Bucharest -Splaiul Independentei No. 313, Sector 6, Bucharest, -ROMANIA" 8b21c89b436e0aa540f7b9648e4344eb30a6e372,Robust coding schemes for indexing and retrieval from large face databases,"IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 9, NO. 1, JANUARY 2000 Correspondence________________________________________________________________________ Robust Coding Schemes for Indexing and Retrieval from Large Face Databases Chengjun Liu and Harry Wechsler" -8b8b3375bc51ae357528a1f015c4d094418c9f71,"An Efficient Feature Extraction Method , Global Between Maximum and Local Within Minimum , and Its Applications","Hindawi Publishing Corporation -Mathematical Problems in Engineering -Volume 2011, Article ID 176058, 15 pages -doi:10.1155/2011/176058 -Research Article -An Efficient Feature Extraction Method, -Global Between Maximum and Local Within -Minimum, and Its Applications -Lei Wang,1, 2 Jiangshe Zhang,1, 2 and Fei Zang1, 2 -School of Science, Xi’an Jiaotong University, Xi’an 710049, China -State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, -Xi’an 710049, China -Correspondence should be addressed to Lei Wang, -Received 28 March 2011; Revised 16 April 2011; Accepted 18 April 2011 -Academic Editor: Jyh Horng Chou -Copyright q 2011 Lei Wang et al. This is an open access article distributed under the Creative -Commons Attribution License, which permits unrestricted use, distribution, and reproduction in -ny medium, provided the original work is properly cited. -Feature extraction plays an important role in preprocessing procedure in dealing with small -sample size problems. Considering the fact that LDA, LPP, and many other existing methods are" -8b26744e11e5f226f187bf903b88933c5b0fcdc0,Cost-Effective Class-Imbalance Aware CNN for Vehicle Localization and Categorization in High Resolution Aerial Images,"Article -Cost-Effective Class-Imbalance Aware CNN for -Vehicle Localization and Categorization in High -Resolution Aerial Images -Feimo Li 1,2,*, Shuxiao Li 1,2,*, Chengfei Zhu 1,2, Xiaosong Lan 1,2 and Hongxing Chang 1,2 -Institute of Automation Chinese Academy of Sciences, Beijing 100190, China; -(C.Z.); (X.L.); (H.C.) -University of Chinese Academy of Science, Beijing 100049, China -* Correspondence: (F.L.); (S.L.); -Tel.: +86-188-0012-4228 (F.L.); +86-138-1077-1030 (S.L.) -Academic Editors: Qi Wang, Nicolas H. Younan, Carlos López-Martínez, Gonzalo Pajares Martinsanz, -Xiaofeng Li and Prasad S. Thenkabail -Received: 26 February 2017; Accepted: 15 May 2017; Published: 18 May 2017" 8bb4d90d5b97e8d08d2aaa99e9c075a506b3108a,Generating Diverse Clusterings,"Generating Diverse Clusterings Anonymous Author(s)" 8b36c4675732249963b3e9294a0f52f26c6dd931,A Survey on Local Invariant Features,"FnT Computer Graphics and Vision 2:4 @@ -51976,13 +43868,6 @@ Informatics, in partial Dipl.-Inform. Stefan Heinrich Hamburg, 2016" -8bda09b2fb85c317c6361aee1935bcbcf87c1c70,Score Normalization in Multimodal Systems using Generalized Extreme Value Distribution,"Score Normalization in Multimodal -Systems using Generalized Extreme Value -Distribution -Renu Sharma1, 2 1Centre for Development of Advanced Computing, -Mumbai, India -Sukhendu Das2 2Indian Institute of Technology, Madras, India -Padmaja Joshi1" 8b632db02220806cd62e35fdebb3ede58243dee0,Recognizing Partially Occluded Faces from a Single Sample Per Class Using String-Based Matching,"Recognizing Partially Occluded Faces from a Single Sample Per Class Using String-Based Matching @@ -52102,15 +43987,6 @@ vorgelegt von Tom´as Lay Herrera Havanna Bonn, November 2012" -8bf647fed40bdc9e35560021636dfb892a46720e,Learning to hash-tag videos with Tag2Vec,"Learning to Hash-tag Videos with Tag2Vec -Aditya Singh -Saurabh Saini -Rajvi Shah -CVIT, KCIS, IIIT Hyderabad, India -P J Narayanan -http://cvit.iiit.ac.in/research/projects/tag2vec -Figure 1. Learning a direct mapping from videos to hash-tags : sample frames from short video clips with user-given hash-tags -(left); a sample frame from a query video and hash-tags suggested by our system for this query (right)." 8b607928c7af70259a9f8af9e08e28e6037411c8,Bayesian teaching of image categories,"Bayesian teaching of image categories Wai Keen Vong∗ Ravi B. Sojitra* @@ -52167,16 +44043,6 @@ Daniel Rosser Yusuf Pisan Games Studio, Faculty of Engineering and IT, University of Technology, Sydney" 8b9c53e7d65ba7a7be3d588d00481f2ff49b5ef4,Orienting in response to gaze and the social use of gaze among children with autism spectrum disorder.,23Journal of Autism andDevelopmental Disorders ISSN 0162-3257Volume 43Number 7 J Autism Dev Disord (2013)43:1584-1596DOI 10.1007/s10803-012-1704-8Orienting in Response to Gaze and theSocial Use of Gaze among Children withAutism Spectrum DisorderAdrienne Rombough & Grace Iarocci -b7207c142b0b9f4def3ae7cd07ce50ca31d930e8,Human Age Group Prediction from Unknown Facial Image 1,"Volume 7, Issue 5, May 2017 ISSN: 2277 128X -International Journal of Advanced Research in -Computer Science and Software Engineering -Research Paper -Available online at: www.ijarcsse.com -Arumugam P, 2Muthukumar S, 3Selva Kumar S, 4Gayathri -Department of Statistics, 2, 4 Department of CSE, 3Research Scholar -, 3 Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India -, 4 Varuvan Vadivelan Institute of Technology, Dharmapuri, Tamilnadu, India -DOI: 10.23956/ijarcsse/SV7I5/0103" b774d7c951b9c444572085e15f6a81a063abf123,Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification,"FeaturesSpatial  AttentionTemporal  Attention1                      2                      3                              N‘face’‘torso’‘bag’Figure1.SpatiotemporalAttention.Inchallengingvideore-identificationscenarios,apersonisrarelyfullyvisibleinallframes.However,framesinwhichonlypartofthepersonisvis-ibleoftencontainusefulinformation.Forexample,thefaceisclearlyvisibleintheframes1and2,thetorsoinframe2,andthehandbaginframes2,3andN.Insteadofaveragingfullframefeaturesacrosstime,weproposeanewspatiotemporalapproachwhichlearnstodetectasetofKdiversesalientimageregionswithineachframe(superimposedheatmaps).Anaggregaterep-resentationofeachbodypartisthenproducedbycombiningtheextractedper-frameregionsacrosstime(weightsshownaswhitetext).Ourspatiotemporalapproachcreatesacompactencodingofthevideothatexploitsusefulpartialinformationineachframebyleveragingmultiplespatialattentionmodels,andcombiningtheiroutputsusingmultipletemporalattentionmodels.personre-identification,whichisageneralizationofthestandardimage-basedre-identificationtask.InsteadofarXiv:1803.09882v1 [cs.CV] 27 Mar 2018" b704f8360c369e65f0826ca23dac2d4e221d8997,A Knowledge Base for Automatic Feature Recognition from Point Clouds in an Urban Scene,"Article A Knowledge Base for Automatic Feature Recognition @@ -52280,14 +44146,6 @@ Department of Applied Mathematics and Informatics, Ryukoku University, Ootsu, Shiga 520–2194, JAPAN National Institute of Advanced Industrial Science and Technology(AIST), Tsukuba, Ibaraki 305–8568, JAPAN" -b7894c1f805ffd90ab4ab06002c70de68d6982ab,A comprehensive age estimation on face images using hybrid filter based feature extraction,"Biomedical Research 2017; Special Issue: S610-S618 -ISSN 0970-938X -www.biomedres.info -A comprehensive age estimation on face images using hybrid filter based -feature extraction. -Karthikeyan D1*, Balakrishnan G2 -Department of ECE, Srinivasan Engineering College, Perambalur, India -Department of Computer Science and Engineering, Indra Ganesan College of Engineering, Trichy, India" b7a0e7dab11781c252e1145f3526aee388b4136d,Facing humanness: Facial width-to-height ratio predicts ascriptions of humanity.,"Journal of Personality and Social Psychology Facing Humanness: Facial Width-to-Height Ratio @@ -52373,10 +44231,6 @@ Centre for Research in Computer Vision, University of Central Florida (UCF)2" b79f3d9f8de4d1cc6679676146a40d2a8596f32d,Composing Simple Image Descriptions using Web-scale N-grams,"Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 220–228, Portland, Oregon, USA, 23–24 June 2011. c(cid:13)2011 Association for Computational Linguistics" b73fdae232270404f96754329a1a18768974d3f6,International Journal of Advanced Robotic Systems Local Relation Map : A Novel Illumination Invariant Face Recognition Approach Regular Paper, -b730908bc1f80b711c031f3ea459e4de09a3d324,Active Orientation Models for Face Alignment In-the-Wild,"Active Orientation Models for Face -Alignment In-the-Wild -Georgios Tzimiropoulos, Joan Alabort-i-Medina, Student Member, IEEE, -Stefanos P. Zafeiriou, Member, IEEE, and Maja Pantic, Fellow, IEEE" b74c410ea8db3babb9a307d1fb8f08b90ce8b490,Automatic Visual Speech Recognition,"6 Automatic Visual Speech Recognition Alin Chiţu¹ and Léon J.M. Rothkrantz¹,² ¹Delft University of Technology ²Netherlands Defence Academy The Netherlands 1. Introduction Lip reading was thought for many years to be specific to hearing impaired persons. Therefore, it was considered that lip reading is one possible solution to an abnormal situation. Even the name of the domain suggests that lip reading was considered to be a rather artificial way of communication because it associates lip reading with the written language which is a relatively new cultural phenomenon and is not an evolutionary inherent ability. Extensive lip reading research was primarily done in order to improve the teaching methodology for hearing impaired persons to increase their chances for integration in the society. Later on, the research done in human perception and more exactly in speech perception proved that lip reading is actively employed in different degrees by all humans irrespective to their hearing capacity. The most well know study in this respect was performed by Harry McGurk and John MacDonald in 1976. In their experiment the two researchers were trying to understand the perception of speech by children. Their finding, now called the McGurk effect, published in Nature (Mcgurk & Macdonald, 1976), was that if a person is presented a video sequence with a certain utterance (i.e. in their experiments utterance 'ga'), but in the same time the acoustics present a different utterance (i.e. in their experiments the sound 'ba'), in a large majority of cases the person will perceive a third utterance (i.e. in this case 'da'). Subsequent experiments showed that this is true as well for longer utterances and that is not a particularity of the visual and aural senses but also true for other perception functions. Therefore, lip reading is part of our multi-sensory speech perception process and could be better named visual speech recognition. Being an evolutionary acquired capacity, same as speech perception, some scientists consider the lip reading's neural mechanism the one that enables humans to achieve high literacy skills with relative easiness (van Atteveldt, 2006). Another source of confusion is the “lip” word, because it implies that the lips are the only part of the speaker face that transmit information about what is being said. The teeth, the tongue and the cavity were shown to be of great importance for lip reading by humans (Williams et al., 1998). Also other face elements were shown to be important during face to face communication; however, their exact influence is not completely elucidated. During experiments in which a gaze tracker was used to track the speaker's areas of attention during communication it was found that the human lip readers focus on four major areas: the mouth, the eyes and the centre of the face depending on the task and the noise level (Buchan et al., 2007). In normal situations the listener scans the mouth and the other areas www.intechopen.com" b768cb6fc2616f3dbe9ef4e25dedd7d95781ba66,Distribution Matching in Variational Inference,"Distribution Matching in Variational Inference Mihaela Rosca Balaji Lakshminarayanan @@ -52405,19 +44259,7 @@ of the scene in addition to its color video. Nevertheless, effective people counting in real-world conditions using depth information still remains a largely unsolved problem due to noise and occlusion [6]." -b7d540cd0de72e984cdec44afa4a4d039cfd5eea,Object Tracking Benchmark,"Object Tracking Benchmark -Yi Wu, Member, IEEE, Jongwoo Lim, Member, IEEE, and Ming-Hsuan Yang, Senior Member, IEEE" b732393cd3877f7e6d3cf3ca033a42415bd6db56,Statistical and Geometric Modeling of Spatio-Temporal Patterns for Video Understanding, -2fe0555f2b92a81992247519cb8fdc047069e2b0,A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors,"This is a preprint of a paper which appeared in the Proceedings of -RoboCup 2010: Robot Soccer World Cup XIV -A Semantic World Model for Urban Search and -Rescue Based on Heterogeneous Sensors -Johannes Meyer2, Paul Schnitzspan1, Stefan Kohlbrecher1, Karen Petersen1, -Mykhaylo Andriluka1, Oliver Schwahn1, Uwe Klingauf2, Stefan Roth1, -Bernt Schiele1,3, and Oskar von Stryk1 -Department of Computer Science, TU Darmstadt, Germany -Department of Mechanical Engineering, TU Darmstadt, Germany -MPI Informatics, Saarbr¨ucken, Germany" 2f23f7d08c7b8670289cfedd1e571f44a3bace8b,Contextual Information and Covariance Descriptors for People Surveillance: An Application for Safety of Construction Workers,"Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2011, Article ID 684819, 16 pages @@ -52581,19 +44423,6 @@ AudioPairBank: Towards A Large-Scale Tag-Pair-Based Audio Content Analysis Sebastian S¨ager, and Benjamin Elizalde, and Damian Borth IEEE Member, and Christian Schulze, nd Bhiksha Raj IEEE Fellow, and Ian Lane IEEE Member" -2f349ec19443523bc6c1e4b15fb677b1c188e253,Finding Time Series Motifs in Disk-Resident Data,"Finding Time Series Motifs in Disk-Resident Data -Abdullah Mueen, Eamonn Keogh -Nima Bigdely-Shamlo -Department of Computer Science and Engineering -University of California, Riverside, USA -{mueen," -2ffcd35d9b8867a42be23978079f5f24be8d3e35,Satellite based Image Processing using Data mining,"ISSN XXXX XXXX © 2018 IJESC -Research Article Volume 8 Issue No.6 -Satellite based Image Processing using Data mining -E.Malleshwari1, S.Nirmal Kumar2, J.Dhinesh3 -Professor1, Assistant Professor2, PG Scholar3 -Department of Information Technology1, 2, Master of Computer Applications3 -Vel Tech High Tech Dr Rangarajan Dr Sakunthala Engineering College, Avadi, Chennai, India" 2f7e9b45255c9029d2ae97bbb004d6072e70fa79,cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey,"Noname manuscript No. (will be inserted by the editor) vpaper.challenge in 2015 @@ -52685,26 +44514,6 @@ Fernando Azpiroz3, Petia Radeva1,2 and Jordi Vitri`a1,2 Computer Vision Center (CVC), Universitat Aut`onoma de Barcelona, Barcelona, Spain Dept. Matem`atica Aplicada i An`alisis, Universitat de Barcelona, Barcelona, Spain Digestive System Research Unit, Hospital Vall dHebron, Barcelona, Spain" -2f3f4e0c8a9c63e714a10a6711c67f5e84e4c7c1,IoT Based Embedded Smart Lock Control System,"ISSN XXXX XXXX © 2016 IJESC -Research Article Volume 6 Issue No. 11 -IoT Based Embedded Smart Lock Control System -Rohith R1, J. Nageswara Reddy2, K. Ravi Kiran3 -M.Tech, Embedded Systems, CM RCET, Hyderabad, India 1 -Assistant Professor, Depart ment of ECE, CM RCET, Hyderabad, India2 -Assistant Professor, Depart ment, of ECE, CM RCET, Hyderabad, India3 -INTRODUCTION -Abstrac t: -Smart ho me security and re mote monitoring have become vita l and indispensable in recent times, and with the advent of new con cepts -like Internet of Things and development of advanced authentication and security technologies, the need for smarter security s ystems -has only been growing. The design and development of an intelligent web -based door lock control system using face recognition -technology, for authentication, re mote monitoring of visitors and re mote control of s mart door loc k has been reported in th is paper. -This system uses Haar-like features for face detection and Local Binary Pattern Histogram (LBPH) fo r face recognition. The system -lso includes a web-based remote monitoring, an authentication module, and a bare-bones embedded IoT server, which transmits the -live pictures of the visitors via email a long with an SMS notification, and the owner can then remotely control the lock by responding -to the email with predefined security codes to unlock the door. This system finds a wide application in sma rt homes where the -physical presence of the owner at all times is not possible, and where a remote authentication and control is desired. The system has -een imple mented and tested using the Raspberry Pi 2 board, Python along with OpenCV are used to program the various face -recognition and control modules." 2f59f28a1ca3130d413e8e8b59fb30d50ac020e2,Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information,"Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information Riccardo Satta, Javier Galbally and Laurent Beslay @@ -52728,24 +44537,6 @@ Coupled Generative Adversarial Nets Liu, M.-Y.; Tuzel, O. TR2016-070 June 2016" -2f17f6c460e02bd105dcbf14c9b73f34c5fb59bd,Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion,"Article -Robust Face Recognition Using the Deep C2D-CNN -Model Based on Decision-Level Fusion -Jing Li 1,2,†, Tao Qiu 3,†, Chang Wen 3,*, Kai Xie 1,2 and Fang-Qing Wen 1,2 -School of Electronic and Information, Yangtze University, Jingzhou 434023, China; -(J.L.); (K.X.); (F-Q.W.) -National Demonstration Center for Experimental Electrical and Electronic Education, Yangtze University, -Jingzhou 434023, China -School of Computer Science, Yangtze University, Jingzhou 434023, China; -* Correspondence: Tel.: +86-136-9731-5482 -These authors contributed equally to this work. -Received: 20 May 2018; Accepted: 25 June 2018; Published: 28 June 2018" -2fa16dc0ee50550c1bf58c410912d48cddbc3554,Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval,"This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TCSVT.2016.2555718, IEEE -Transactions on Circuits and Systems for Video Technology -Search Tracker: Human-derived object tracking -in-the-wild through large-scale search and retrieval -Archith John Bency, Student Member, IEEE S. Karthikeyan,, Carter De Leo, Santhoshkumar Sunderrajan, -Member, IEEE and B. S. Manjunath, Fellow, IEEE" 2fa1629d75a03b950c56bf9b3430b2983abd7881,Learning geometrical transforms between multi camera views using Canonical Correlation Analysis,"CONRAD, MESTER: LEARNING GEOMETRICAL TRANSFORMS USING CCA Learning geometrical transforms between multi camera views using Canonical @@ -52907,30 +44698,9 @@ September 2010 Department of Computer Science" aa23d33983b1abd2d8a677040eb875e93c478a7f,Measuring the Objectness of Image Windows,"Measuring the objectness of image windows Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari" -aaa6fe8045e1a071e1762cffe4f59e0bd508daf9,Single-Pedestrian Detection Aided by Two-Pedestrian Detection,"IEEE TRANSACTIONS PATTERN ANALYSIS AND MACHINE INTELLIGENCE -Single-Pedestrian Detection Aided by --Pedestrian Detection -Wanli Ouyang, Member, IEEE, Xingyu Zeng and Xiaogang Wang, Member, IEEE," -aa07203067566f251041f73ee087aa7dfb847509,Biometric System Using Cryptography : A Survey,"Anupam Baruah et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.9, September- 2015, pg. 101-104 -Available Online at www.ijcsmc.com -International Journal of Computer Science and Mobile Computing -A Monthly Journal of Computer Science and Information Technology -ISSN 2320–088X -IJCSMC, Vol. 4, Issue. 9, September 2015, pg.101 – 104 -SURVEY ARTICLE -Biometric System Using -Cryptography: A Survey -Anupam Baruah1, Prof. (Dr.) Lakshmi Prasad Saikia2 -¹Research Scholar, Dept. Of Computer Sc. & Engg, Assam downtown University, India -²Professor, Dept. Of Computer Sc. & Engg, Assam downtown University, India" aad7f9eeb10d4f655c3e3d18d3542603ad3071b4,Deep Unsupervised Learning of Visual Similarities,"Deep Unsupervised Learning of Visual Similarities Artsiom Sanakoyeu∗, Miguel A. Bautista, Björn Ommer Heidelberg Collaboratory for Image Processing and Interdisciplinary Center for Scientific Computing, Heidelberg University, Germany" -aae742779e8b754da7973949992d258d6ca26216,Robust facial expression classification using shape and appearance features,"Robust Facial Expression Classification Using Shape -nd Appearance Features -S L Happy and Aurobinda Routray -Department of Electrical Engineering, -Indian Institute of Technology Kharagpur, India" aad03480c30c0a3d917d171d8d6b914026fe5105,Affordances Provide a Fundamental Categorization Principle for Visual Scenes,"Affordances Provide Fundamental @@ -52958,59 +44728,16 @@ Rhonda P. Patrick1 and Bruce N. Ames1 Nutrition and Metabolism Center, Children’s Hospital Oakland Research Institute, Oakland, California, USA Serotonin and vitamin D have been pro-" -aa11aa50c5a3cee44d7fb39b1e2732c5699f565f,A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models,"IEICE TRANS. INF. & SYST., VOL.E99–D, NO.12 DECEMBER 2016 -PAPER -A Bayesian Approach to Image Recognition Based on Separable -Lattice Hidden Markov Models -Kei SAWADA†a), Student Member, Akira TAMAMORI†b), Member, Kei HASHIMOTO†c), Nonmember, -Yoshihiko NANKAKU†d), and Keiichi TOKUDA†e), Members -SUMMARY -This paper proposes a Bayesian approach to image recog- -nition based on separable lattice hidden Markov models (SL-HMMs). The -geometric variations of the object to be recognized, e.g., size, location, -nd rotation, are an essential problem in image recognition. SL-HMMs, -which have been proposed to reduce the effect of geometric variations, can -perform elastic matching both horizontally and vertically. This makes it -possible to model not only invariances to the size and location of the object -ut also nonlinear warping in both dimensions. The maximum likelihood -(ML) method has been used in training SL-HMMs. However, in some im- -ge recognition tasks, it is dif‌f‌icult to acquire suf‌f‌icient training data, and -the ML method suffers from the over-fitting problem when there is insuf‌f‌i- -ient training data. This study aims to accurately estimate SL-HMMs using -the maximum a posteriori (MAP) and variational Bayesian (VB) methods." aa9b924c88b75909871585cbadbed2d76df7dbdf,The effects of item familiarity on the neural correlates of successful associative memory encoding.,"Cogn Affect Behav Neurosci DOI 10.3758/s13415-015-0359-2 The effects of item familiarity on the neural correlates of successful associative memory encoding Nancy A. Dennis 1 & Indira C. Turney 1 & Christina E. Webb 1 & Amy A. Overman 2 # Psychonomic Society, Inc. 2015" -aaba2a04c025f12f839ac71fb248da0dd6985d58,A COMBINED FACE RECOGNITION APPROACH BASED ON LPD AND,"VOL. 10, NO. 6, APRIL 2015 ISSN 1819-6608 -ARPN Journal of Engineering and Applied Sciences -©2006-2015 Asian Research Publishing Network (ARPN). All rights reserved. -www.arpnjournals.com -A COMBINED FACE RECOGNITION APPROACH BASED ON LPD -AND LVP -Kabilan R.1, Ravi R.2, Rajakumar G.1, Esther Leethiya Rani S.1 and Mini Minar V. C.1 -Department of ECE, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India -Department of IT, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India -E-Mail:" aa5efcc4331da6b1902f2c900b79120226fdcf20,A ROBUST CLASS-BASED REFLECTANCE RENDERING FOR FACE IMAGES,A ROBUST CLASS-BASED REFLECTANCE RENDERING FOR FACE IMAGES aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb,REACH - Realtime crowd tracking using a hybrid motion model,"REACH - Realtime Crowd tracking using a Hybrid motion model Aniket Bera1 and Dinesh Manocha1 http://gamma.cs.unc.edu/REACH" -aa577652ce4dad3ca3dde44f881972ae6e1acce7,Deep Attribute Networks,"Deep Attribute Networks -Junyoung Chung -Department of EE, KAIST -Daejeon, South Korea -Donghoon Lee -Department of EE, KAIST -Daejeon, South Korea -Youngjoo Seo -Department of EE, KAIST -Daejeon, South Korea -Chang D. Yoo -Department of EE, KAIST -Daejeon, South Korea" aa2ad3df24d8d8c4a4d2fe85f0d4e635d595f0a2,PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues,"F. FLOHR, D. M. GAVRILA: PEDCUT PedCut: an iterative framework for pedestrian segmentation combining @@ -53066,11 +44793,6 @@ The Johns Hopkins Univerisity #D17PC00345 and ONR grant N00014-15-1-2356. Qi Chen, Weichao Qiu, Yi Zhang Lingxi Xie(), Alan L. Yuille" -aa32f5b0a866b04a89f75cda32e0975a541864ff,Action-Driven Object Detection with Top-Down Visual Attentions,"Action-Driven Object Detection -with Top-Down Visual Attentions -Donggeun Yoo, Student Member, IEEE, Sunggyun Park, Student Member, IEEE, -Kyunghyun Paeng, Student Member, IEEE, Joon-Young Lee, Member, IEEE, -nd In So Kweon, Member, IEEE" aafb8dc8fda3b13a64ec3f1ca7911df01707c453,Excitation Backprop for RNNs,"Excitation Backprop for RNNs Sarah Adel Bargal∗1, Andrea Zunino∗ 2, Donghyun Kim1, Jianming Zhang3, Vittorio Murino2,4, Stan Sclaroff1 @@ -53118,8 +44840,6 @@ Mohammad Mahdi Dehshibi1, Azam Bastanfard2, and Alireza Abdi3 Young Researchers Club, Islamic Azad University South Tehran Branch, Tehran, Iran IT Research Laboratory, Faculty of Engineering, Islamic Azad University Karaj Branch, Karaj, Iran Faculty of Electrical, Computer and IT, Islamic Azad University Qazvin Branch, Qazvin, Iran" -aae0e417bbfba701a1183d3d92cc7ad550ee59c3,A Statistical Method for 2-D Facial Landmarking,"A Statistical Method for 2-D Facial Landmarking -Hamdi Dibeklio˘glu, Student Member, IEEE, Albert Ali Salah, Member, IEEE, and Theo Gevers, Member, IEEE" aa94f214bb3e14842e4056fdef834a51aecef39c,Reconhecimento de padrões faciais : Um estudo,"Reconhecimento de padrões faciais: Um estudo Alex Lima Silva, Marcos Evandro Cintra Universidade Federal @@ -53146,18 +44866,10 @@ Haoqi Fan Jitendra Malik Kaiming He Facebook AI Research (FAIR)" -aaaefba1bd0a9a9ec6c66a822d11fb907a05625c,"On Detection, Data Association and Segmentation for Multi-target Tracking.","This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/TPAMI.2018.2849374, IEEE -Transactions on Pattern Analysis and Machine Intelligence -On Detection, Data Association and -Segmentation for Multi-target Tracking -Yicong Tian, Member, IEEE, Afshin Dehghan, Member, IEEE, and Mubarak Shah, Fellow, IEEE" aa74e63360c341f47a921e0043c5d58d55807fe4,Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks,"SUBMITTED FOR PUBLICATION, 2016 Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks Masoud Abdi, and Saeid Nahavandi, Senior Member, IEEE" -aa8c3eb6e821cb44ed5a15a2f09fba332e5561c6,Object Detection in Multi-view X-Ray Images,"Object Detection in Multi-View X-Ray Images -Thorsten Franzel, Uwe Schmidt, and Stefan Roth -Department of Computer Science, TU Darmstadt" 74d4224989b5937ee6c97eec1955e64ab0699f57,Facial Emotional Classifier For Natural Interaction,"Electronic Letters on Computer Vision and Image Analysis 7(4):1-12, 2008 Facial Emotional Classifier For Natural Interaction Isabelle Hupont, Eva Cerezo, Sandra Baldassarri @@ -53165,19 +44877,6 @@ Departamento de Informática e Ingeniería de Sistemas, Instituto de Investigación en Ingeniería de Aragón, Universidad de Zaragoza (Spain) Received 29th November 2007, Revised 26th February 2008, Accepted 3rd June 2008 {478953, ecerezo," -741b0ce40cc18449f350792af777cc54c390eda1,Comparative Study of Principal Component Analysis and Independent Component Analysis,"International Journal of Computer Applications (0975 – 8887) -Volume 92 – No.15, April 2014 -Comparative Study of Principal Component Analysis -nd Independent Component Analysis -Sushma Niket Borade -Research Scholar -Ratnadeep R. Deshmukh, Ph. D -Professor -Dept. of Computer Science and I.T. -Dept. of Computer Science and I.T. -Dr. Babasaheb Ambedkar Marathwada University, -Dr. Babasaheb Ambedkar Marathwada University, -Aurangabad – 431004, India" 74408cfd748ad5553cba8ab64e5f83da14875ae8,Facial Expressions Tracking and Recognition: Database Protocols for Systems Validation and Evaluation,"Facial Expressions Tracking and Recognition: Database Protocols for Systems Validation nd Evaluation" 74f21f2edfa985280be63f8a01aa00541f3a5625,People Groping by Spatio-Temporal Features of Trajectories,"4-13 @@ -53217,13 +44916,6 @@ Niigata, Japan Systems Science 603-1 Kamitomioka, Nagaoka Niigata, Japan" -74325f3d9aea3a810fe4eab8863d1a48c099de11,Regression-Based Image Alignment for General Object Categories,"Regression-Based Image Alignment -for General Object Categories -Hilton Bristow1 and Simon Lucey2 -Queensland University of Technology (QUT) -Brisbane QLD 4000, Australia -Carnegie Mellon University (CMU) -Pittsburgh PA 15289, USA" 74b0095944c6e29837c208307a67116ebe1231c8,Manifold learning using Euclidean k-nearest neighbor graphs [image processing examples]," beindependentandidenticallydis-tributed(i.i.d.)randomvectorswithvaluesinacompactsubsetof.The(-)nearestneighborof inisgivenby!""$%&(*,.%135 7 5where5 7 5istheusualEuclidean(<=)distanceinbe-tweenvector and .Forgeneralinteger?,the-nearestneighborofapointisdefinedinasimilarway.The-NNgraphputsanedgebetweeneachpointinandits-nearestneighbors.LetBCDBCDFHbethesetof-nearestneighborsof in.Thetotaledgelengthofthe-NNgraphisdefinedas: